source stringlengths 3 92 | c stringlengths 26 2.25M |
|---|---|
openmp-ex34.c | /* ... and task parallelism */
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main(void)
{
#pragma omp parallel
{
int id = omp_get_thread_num();
#pragma omp single
{
int i, count;
printf("I am %d and I am the dispatcher\n",id);
count = 0;
for (i = 0; i < 20; i++) {
if (rand() & 1) {
#pragma omp task
{
printf("Iteration %d spawned task %d, picked up by %d\n",i,count,omp_get_thread_num());
}
count++;
}
}
}
}
return 0;
}
|
es2.h | #ifndef es2_h
#define es2_h
#include <iostream>
#include <omp.h>
#include <cstdlib>
#include <climits>
#define dim 100000000
using namespace std;
void output(int max, double time) {
cout << "Il massimo è: " << max << endl;
cout << "Tempo per trovare il massimo: " << time << endl;
}
void generate(int *a) {
cout << "Genero la matrice..." << endl;
srand(time(NULL));
for (int i = 0; i < dim; i++) {
a[i] = rand()%10 + 1;
}
}
double sum(int *a, int *b, int *c, unsigned nmt) {
double start = omp_get_wtime();
#pragma omp parallel num_threads(nmt)
{
#pragma omp for
for (int i = 0; i < dim; i++) {
c[i] = a[i] + b[i];
}
}
double end = omp_get_wtime();
return end - start;
}
double findmax(int *c, unsigned nmt) {
int currentmax = INT_MIN;
double start = omp_get_wtime();
#pragma omp parallel for reduction(max : currentmax) num_threads(nmt)
for (int i = 0; i < dim; i++) {
if (c[i] > currentmax) {
currentmax = c[i];
}
}
double end = omp_get_wtime();
return end - start;
output(currentmax, end - start);
}
void es2() {
int *a = new int[dim];
int *b = new int[dim];
int *c = new int[dim];
cout << "Inserisci numero threads" << endl;
unsigned nmt;
cin >> nmt;
generate(a);
generate(b);
cout << endl << "Tempo per calcolare c: " << sum(a, b, c, nmt) << endl;
findmax(c, nmt);
delete [] a;
delete [] b;
delete [] c;
}
#endif |
GB_unop__isinf_bool_fc64.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__isinf_bool_fc64)
// op(A') function: GB (_unop_tran__isinf_bool_fc64)
// C type: bool
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = (aij)
// unaryop: cij = GB_cisinf (aij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
bool
// 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_cisinf (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_cisinf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ISINF || GxB_NO_BOOL || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__isinf_bool_fc64)
(
bool *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_cisinf (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_cisinf (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__isinf_bool_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
|
exercice1.c | #include <stdio.h>
#include <stdlib.h>
int main(void){
int bufferSize = 256;
int iterationCount = 100;
int currentIteration = 0;
char** buffers = (char**)(malloc(iterationCount * sizeof(char*)));
#pragma omp parallel for
for (int i = 0; i < iterationCount; i++){
char* buffer = (char*)(malloc((bufferSize + 1) * sizeof(char)));
int currentIterationLocal = i;
currentIteration = i;
int writtenChars = snprintf(buffer, bufferSize, "i = #%d, ", i);
writtenChars += snprintf(&buffer[writtenChars], bufferSize - writtenChars, "currentIteration = %d, ", currentIteration);
writtenChars += snprintf(&buffer[writtenChars], bufferSize - writtenChars, "iterationCount = %d, ", iterationCount);
writtenChars += snprintf(&buffer[writtenChars], bufferSize - writtenChars, "currentIterationLocal = %d \n", currentIterationLocal);
buffer[writtenChars] = '\n';
buffers[i] = buffer;
}
for (int i = 0; i < iterationCount; i++){
printf(buffers[i]);
free(buffers[i]);
}
free(buffers);
system("pause");
return 0;
}
|
GB_unaryop__abs_int64_int64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_int64_int64
// op(A') function: GB_tran__abs_int64_int64
// C type: int64_t
// A type: int64_t
// cast: int64_t cij = (int64_t) aij
// unaryop: cij = GB_IABS (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 = GB_IABS (x) ;
// casting
#define GB_CASTING(z, aij) \
int64_t z = (int64_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_int64_int64
(
int64_t *Cx, // Cx and Ax may be aliased
int64_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_int64_int64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
par_mgr.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)
******************************************************************************/
/******************************************************************************
*
* Two-grid system solver
*
*****************************************************************************/
#include "_hypre_parcsr_ls.h"
#include "par_amg.h"
#include "par_mgr.h"
#ifdef HYPRE_USING_DSUPERLU
#include "dsuperlu.h"
#endif
/* Create */
void *
hypre_MGRCreate()
{
hypre_ParMGRData *mgr_data;
mgr_data = hypre_CTAlloc(hypre_ParMGRData, 1, HYPRE_MEMORY_HOST);
/* block data */
(mgr_data -> block_size) = 1;
(mgr_data -> block_num_coarse_indexes) = NULL;
(mgr_data -> point_marker_array) = NULL;
(mgr_data -> block_cf_marker) = NULL;
/* general data */
(mgr_data -> max_num_coarse_levels) = 10;
(mgr_data -> A_array) = NULL;
(mgr_data -> P_array) = NULL;
(mgr_data -> RT_array) = NULL;
(mgr_data -> RAP) = NULL;
(mgr_data -> CF_marker_array) = NULL;
(mgr_data -> coarse_indices_lvls) = NULL;
(mgr_data -> A_ff_array) = NULL;
(mgr_data -> F_fine_array) = NULL;
(mgr_data -> U_fine_array) = NULL;
(mgr_data -> aff_solver) = NULL;
(mgr_data -> fine_grid_solver_setup) = NULL;
(mgr_data -> fine_grid_solver_solve) = NULL;
(mgr_data -> F_array) = NULL;
(mgr_data -> U_array) = NULL;
(mgr_data -> residual) = NULL;
(mgr_data -> rel_res_norms) = NULL;
(mgr_data -> Vtemp) = NULL;
(mgr_data -> Ztemp) = NULL;
(mgr_data -> Utemp) = NULL;
(mgr_data -> Ftemp) = NULL;
(mgr_data -> num_iterations) = 0;
(mgr_data -> num_interp_sweeps) = 1;
(mgr_data -> num_restrict_sweeps) = 1;
(mgr_data -> trunc_factor) = 0.0;
(mgr_data -> max_row_sum) = 0.9;
(mgr_data -> strong_threshold) = 0.25;
(mgr_data -> P_max_elmts) = 0;
(mgr_data -> coarse_grid_solver) = NULL;
(mgr_data -> coarse_grid_solver_setup) = NULL;
(mgr_data -> coarse_grid_solver_solve) = NULL;
(mgr_data -> global_smoother) = NULL;
(mgr_data -> use_default_cgrid_solver) = 1;
(mgr_data -> use_default_fsolver) = -1; // set to -1 to avoid printing when not used
(mgr_data -> omega) = 1.;
(mgr_data -> max_iter) = 20;
(mgr_data -> tol) = 1.0e-6;
(mgr_data -> relax_type) = 0;
(mgr_data -> relax_order) = 1; // not fully utilized. Only used to compute L1-norms.
(mgr_data -> interp_type) = NULL;
(mgr_data -> restrict_type) = NULL;
(mgr_data -> num_relax_sweeps) = 1;
(mgr_data -> relax_weight) = 1.0;
(mgr_data -> logging) = 0;
(mgr_data -> print_level) = 0;
(mgr_data -> frelax_print_level) = 0;
(mgr_data -> cg_print_level) = 0;
(mgr_data -> l1_norms) = NULL;
(mgr_data -> reserved_coarse_size) = 0;
(mgr_data -> reserved_coarse_indexes) = NULL;
(mgr_data -> reserved_Cpoint_local_indexes) = NULL;
(mgr_data -> diaginv) = NULL;
(mgr_data -> global_smooth_iters) = 1;
(mgr_data -> global_smooth_type) = 0;
(mgr_data -> set_non_Cpoints_to_F) = 0;
(mgr_data -> idx_array) = NULL;
(mgr_data -> Frelax_method) = NULL;
(mgr_data -> VcycleRelaxVtemp) = NULL;
(mgr_data -> VcycleRelaxZtemp) = NULL;
(mgr_data -> FrelaxVcycleData) = NULL;
(mgr_data -> Frelax_num_functions) = NULL;
(mgr_data -> max_local_lvls) = 10;
(mgr_data -> use_non_galerkin_cg) = NULL;
(mgr_data -> print_coarse_system) = 0;
(mgr_data -> set_c_points_method) = 0;
(mgr_data -> lvl_to_keep_cpoints) = 0;
(mgr_data -> cg_convergence_factor) = 0.0;
(mgr_data -> truncate_coarse_grid_threshold) = 0.0;
return (void *) mgr_data;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
/* Destroy */
HYPRE_Int
hypre_MGRDestroy( void *data )
{
hypre_ParMGRData * mgr_data = (hypre_ParMGRData*) data;
HYPRE_Int i;
HYPRE_Int num_coarse_levels = (mgr_data -> num_coarse_levels);
/* block info data */
if ((mgr_data -> block_cf_marker))
{
for (i=0; i < (mgr_data -> max_num_coarse_levels); i++)
{
if ((mgr_data -> block_cf_marker)[i])
{
hypre_TFree((mgr_data -> block_cf_marker)[i], HYPRE_MEMORY_HOST);
}
}
hypre_TFree((mgr_data -> block_cf_marker), HYPRE_MEMORY_HOST);
(mgr_data -> block_cf_marker) = NULL;
}
if(mgr_data -> block_num_coarse_indexes)
{
hypre_TFree(mgr_data -> block_num_coarse_indexes, HYPRE_MEMORY_HOST);
(mgr_data -> block_num_coarse_indexes) = NULL;
}
/* final residual vector */
if((mgr_data -> residual))
{
hypre_ParVectorDestroy( (mgr_data -> residual) );
(mgr_data -> residual) = NULL;
}
if((mgr_data -> rel_res_norms))
{
hypre_TFree( (mgr_data -> rel_res_norms) , HYPRE_MEMORY_HOST);
(mgr_data -> rel_res_norms) = NULL;
}
/* temp vectors for solve phase */
if((mgr_data -> Vtemp))
{
hypre_ParVectorDestroy( (mgr_data -> Vtemp) );
(mgr_data -> Vtemp) = NULL;
}
if((mgr_data -> Ztemp))
{
hypre_ParVectorDestroy( (mgr_data -> Ztemp) );
(mgr_data -> Ztemp) = NULL;
}
if((mgr_data -> Utemp))
{
hypre_ParVectorDestroy( (mgr_data -> Utemp) );
(mgr_data -> Utemp) = NULL;
}
if((mgr_data -> Ftemp))
{
hypre_ParVectorDestroy( (mgr_data -> Ftemp) );
(mgr_data -> Ftemp) = NULL;
}
/* coarse grid solver */
if((mgr_data -> use_default_cgrid_solver))
{
if((mgr_data -> coarse_grid_solver))
{
hypre_BoomerAMGDestroy( (mgr_data -> coarse_grid_solver) );
}
(mgr_data -> coarse_grid_solver) = NULL;
}
/* l1_norms */
if ((mgr_data -> l1_norms))
{
for (i=0; i < (num_coarse_levels); i++)
{
hypre_SeqVectorDestroy((mgr_data -> l1_norms)[i]);
}
hypre_TFree((mgr_data -> l1_norms), HYPRE_MEMORY_HOST);
}
/* coarse_indices_lvls */
if ((mgr_data -> coarse_indices_lvls))
{
for (i=0; i < (num_coarse_levels); i++)
if ((mgr_data -> coarse_indices_lvls)[i])
hypre_TFree((mgr_data -> coarse_indices_lvls)[i], HYPRE_MEMORY_HOST);
hypre_TFree((mgr_data -> coarse_indices_lvls), HYPRE_MEMORY_HOST);
}
/* linear system and cf marker array */
if(mgr_data -> A_array || mgr_data -> P_array || mgr_data -> RT_array || mgr_data -> CF_marker_array)
{
for (i=1; i < num_coarse_levels+1; i++) {
hypre_ParVectorDestroy((mgr_data -> F_array)[i]);
hypre_ParVectorDestroy((mgr_data -> U_array)[i]);
if ((mgr_data -> P_array)[i-1])
hypre_ParCSRMatrixDestroy((mgr_data -> P_array)[i-1]);
if ((mgr_data -> RT_array)[i-1])
hypre_ParCSRMatrixDestroy((mgr_data -> RT_array)[i-1]);
hypre_IntArrayDestroy(mgr_data -> CF_marker_array[i-1]);
}
for (i=1; i < (num_coarse_levels); i++) {
if ((mgr_data -> A_array)[i])
hypre_ParCSRMatrixDestroy((mgr_data -> A_array)[i]);
}
}
/* AMG for Frelax */
if(mgr_data -> A_ff_array || mgr_data -> F_fine_array || mgr_data -> U_fine_array)
{
for (i=1; i < num_coarse_levels+1; i++)
{
if (mgr_data -> F_fine_array[i])
hypre_ParVectorDestroy((mgr_data -> F_fine_array)[i]);
if (mgr_data -> U_fine_array[i])
hypre_ParVectorDestroy((mgr_data -> U_fine_array)[i]);
}
for (i=1; i < (num_coarse_levels); i++)
{
if ((mgr_data -> A_ff_array)[i])
hypre_ParCSRMatrixDestroy((mgr_data -> A_ff_array)[i]);
}
if (mgr_data -> use_default_fsolver)
{
hypre_ParCSRMatrixDestroy((mgr_data -> A_ff_array)[0]);
}
hypre_TFree(mgr_data -> F_fine_array, HYPRE_MEMORY_HOST);
(mgr_data -> F_fine_array) = NULL;
hypre_TFree(mgr_data -> U_fine_array, HYPRE_MEMORY_HOST);
(mgr_data -> U_fine_array) = NULL;
hypre_TFree(mgr_data -> A_ff_array, HYPRE_MEMORY_HOST);
(mgr_data -> A_ff_array) = NULL;
}
if(mgr_data -> aff_solver)
{
for (i = 1; i < (num_coarse_levels); i++) {
if ((mgr_data -> aff_solver)[i])
hypre_BoomerAMGDestroy((mgr_data -> aff_solver)[i]);
}
if (mgr_data -> use_default_fsolver)
{
if ((mgr_data -> aff_solver)[0])
hypre_BoomerAMGDestroy((mgr_data -> aff_solver)[0]);
}
hypre_TFree(mgr_data -> aff_solver, HYPRE_MEMORY_HOST);
(mgr_data -> aff_solver) = NULL;
}
if((mgr_data -> F_array))
{
hypre_TFree((mgr_data -> F_array), HYPRE_MEMORY_HOST);
(mgr_data -> F_array) = NULL;
}
if((mgr_data -> U_array))
{
hypre_TFree((mgr_data -> U_array), HYPRE_MEMORY_HOST);
(mgr_data -> U_array) = NULL;
}
if((mgr_data -> A_array))
{
hypre_TFree((mgr_data -> A_array), HYPRE_MEMORY_HOST);
(mgr_data -> A_array) = NULL;
}
if((mgr_data -> P_array))
{
hypre_TFree((mgr_data -> P_array), HYPRE_MEMORY_HOST);
(mgr_data -> P_array) = NULL;
}
if((mgr_data -> RT_array))
{
hypre_TFree((mgr_data -> RT_array), HYPRE_MEMORY_HOST);
(mgr_data -> RT_array) = NULL;
}
if((mgr_data -> CF_marker_array))
{
hypre_TFree((mgr_data -> CF_marker_array), HYPRE_MEMORY_HOST);
(mgr_data -> CF_marker_array) = NULL;
}
if((mgr_data -> reserved_Cpoint_local_indexes))
{
hypre_TFree((mgr_data -> reserved_Cpoint_local_indexes), HYPRE_MEMORY_HOST);
(mgr_data -> reserved_Cpoint_local_indexes) = NULL;
}
if (mgr_data -> restrict_type)
{
hypre_TFree(mgr_data -> restrict_type, HYPRE_MEMORY_HOST);
(mgr_data -> restrict_type) = NULL;
}
if (mgr_data -> interp_type)
{
hypre_TFree(mgr_data -> interp_type, HYPRE_MEMORY_HOST);
(mgr_data -> interp_type) = NULL;
}
/* Frelax_method */
if (mgr_data -> Frelax_method)
{
hypre_TFree(mgr_data -> Frelax_method, HYPRE_MEMORY_HOST);
(mgr_data -> Frelax_method) = NULL;
}
/* Frelax_num_functions */
if (mgr_data -> Frelax_num_functions)
{
hypre_TFree(mgr_data -> Frelax_num_functions, HYPRE_MEMORY_HOST);
(mgr_data -> Frelax_num_functions) = NULL;
}
/* data for V-cycle F-relaxation */
if((mgr_data -> VcycleRelaxVtemp))
{
hypre_ParVectorDestroy( (mgr_data -> VcycleRelaxVtemp) );
(mgr_data -> VcycleRelaxVtemp) = NULL;
}
if((mgr_data -> VcycleRelaxZtemp))
{
hypre_ParVectorDestroy( (mgr_data -> VcycleRelaxZtemp) );
(mgr_data -> VcycleRelaxZtemp) = NULL;
}
if (mgr_data -> FrelaxVcycleData) {
for (i = 0; i < num_coarse_levels; i++) {
if ((mgr_data -> FrelaxVcycleData)[i]) {
hypre_MGRDestroyFrelaxVcycleData((mgr_data -> FrelaxVcycleData)[i]);
(mgr_data -> FrelaxVcycleData)[i] = NULL;
}
}
hypre_TFree(mgr_data -> FrelaxVcycleData, HYPRE_MEMORY_HOST);
(mgr_data -> FrelaxVcycleData) = NULL;
}
/* data for reserved coarse nodes */
if(mgr_data -> reserved_coarse_indexes)
{
hypre_TFree(mgr_data -> reserved_coarse_indexes, HYPRE_MEMORY_HOST);
(mgr_data -> reserved_coarse_indexes) = NULL;
}
/* index array for setting Cpoints by global block */
if ((mgr_data -> set_c_points_method) == 1)
{
hypre_TFree(mgr_data -> idx_array, HYPRE_MEMORY_HOST);
(mgr_data -> idx_array) = NULL;
}
/* array for setting option to use non-Galerkin coarse grid */
if (mgr_data -> use_non_galerkin_cg)
{
hypre_TFree(mgr_data -> use_non_galerkin_cg, HYPRE_MEMORY_HOST);
(mgr_data -> use_non_galerkin_cg) = NULL;
}
/* coarse level matrix - RAP */
if ((mgr_data -> RAP))
hypre_ParCSRMatrixDestroy((mgr_data -> RAP));
if ((mgr_data -> diaginv))
hypre_TFree((mgr_data -> diaginv), HYPRE_MEMORY_HOST);
if ((mgr_data -> global_smoother))
{
if (mgr_data -> global_smooth_type == 8)
{
HYPRE_EuclidDestroy((mgr_data -> global_smoother));
}
else if (mgr_data -> global_smooth_type == 16)
{
HYPRE_ILUDestroy((mgr_data -> global_smoother));
}
}
/* mgr data */
hypre_TFree(mgr_data, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
/* Create data for V-cycle F-relaxtion */
void *
hypre_MGRCreateFrelaxVcycleData()
{
hypre_ParAMGData *vdata = hypre_CTAlloc(hypre_ParAMGData, 1, HYPRE_MEMORY_HOST);
hypre_ParAMGDataAArray(vdata) = NULL;
hypre_ParAMGDataPArray(vdata) = NULL;
hypre_ParAMGDataFArray(vdata) = NULL;
hypre_ParAMGDataCFMarkerArray(vdata) = NULL;
hypre_ParAMGDataVtemp(vdata) = NULL;
hypre_ParAMGDataAMat(vdata) = NULL;
hypre_ParAMGDataBVec(vdata) = NULL;
hypre_ParAMGDataZtemp(vdata) = NULL;
hypre_ParAMGDataCommInfo(vdata) = NULL;
hypre_ParAMGDataUArray(vdata) = NULL;
hypre_ParAMGDataNewComm(vdata) = hypre_MPI_COMM_NULL;
hypre_ParAMGDataNumLevels(vdata) = 0;
hypre_ParAMGDataMaxLevels(vdata) = 10;
hypre_ParAMGDataNumFunctions(vdata) = 1;
hypre_ParAMGDataSCommPkgSwitch(vdata) = 1.0;
hypre_ParAMGDataRelaxOrder(vdata) = 1;
hypre_ParAMGDataMaxCoarseSize(vdata) = 9;
hypre_ParAMGDataMinCoarseSize(vdata) = 0;
hypre_ParAMGDataUserCoarseRelaxType(vdata) = 9;
return (void *) vdata;
}
/* Destroy data for V-cycle F-relaxation */
HYPRE_Int
hypre_MGRDestroyFrelaxVcycleData( void *data )
{
hypre_ParAMGData * vdata = (hypre_ParAMGData*) data;
HYPRE_Int i;
HYPRE_Int num_levels = hypre_ParAMGDataNumLevels(vdata);
MPI_Comm new_comm = hypre_ParAMGDataNewComm(vdata);
hypre_TFree(hypre_ParAMGDataDofFuncArray(vdata)[0], HYPRE_MEMORY_HOST);
for (i=1; i < num_levels + 1; i++)
{
if (hypre_ParAMGDataAArray(vdata)[i])
hypre_ParCSRMatrixDestroy(hypre_ParAMGDataAArray(vdata)[i]);
if (hypre_ParAMGDataPArray(vdata)[i-1])
hypre_ParCSRMatrixDestroy(hypre_ParAMGDataPArray(vdata)[i-1]);
hypre_IntArrayDestroy(hypre_ParAMGDataCFMarkerArray(vdata)[i-1]);
hypre_ParVectorDestroy(hypre_ParAMGDataFArray(vdata)[i]);
hypre_ParVectorDestroy(hypre_ParAMGDataUArray(vdata)[i]);
hypre_TFree(hypre_ParAMGDataDofFuncArray(vdata)[i], HYPRE_MEMORY_HOST);
}
if (num_levels < 1)
{
hypre_IntArrayDestroy(hypre_ParAMGDataCFMarkerArray(vdata)[0]);
}
/* Points to VcycleRelaxVtemp of mgr_data, which is already destroyed */
//hypre_ParVectorDestroy(hypre_ParAMGDataVtemp(vdata));
hypre_TFree(hypre_ParAMGDataFArray(vdata), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParAMGDataUArray(vdata), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParAMGDataAArray(vdata), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParAMGDataPArray(vdata), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParAMGDataCFMarkerArray(vdata), HYPRE_MEMORY_HOST);
//hypre_TFree(hypre_ParAMGDataGridRelaxType(vdata), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParAMGDataDofFuncArray(vdata), HYPRE_MEMORY_HOST);
/* Points to VcycleRelaxZtemp of mgr_data, which is already destroyed */
/*
if (hypre_ParAMGDataZtemp(vdata))
hypre_ParVectorDestroy(hypre_ParAMGDataZtemp(vdata));
*/
if (hypre_ParAMGDataAMat(vdata)) hypre_TFree(hypre_ParAMGDataAMat(vdata), HYPRE_MEMORY_HOST);
if (hypre_ParAMGDataBVec(vdata)) hypre_TFree(hypre_ParAMGDataBVec(vdata), HYPRE_MEMORY_HOST);
if (hypre_ParAMGDataCommInfo(vdata)) hypre_TFree(hypre_ParAMGDataCommInfo(vdata), HYPRE_MEMORY_HOST);
if (new_comm != hypre_MPI_COMM_NULL)
{
hypre_MPI_Comm_free (&new_comm);
}
hypre_TFree(vdata, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
/* Set C-point variables for each reduction level */
/* Currently not implemented */
HYPRE_Int
hypre_MGRSetReductionLevelCpoints( void *mgr_vdata,
HYPRE_Int nlevels,
HYPRE_Int *num_coarse_points,
HYPRE_Int **level_coarse_indexes)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> num_coarse_levels) = nlevels;
(mgr_data -> num_coarse_per_level) = num_coarse_points;
(mgr_data -> level_coarse_indexes) = level_coarse_indexes;
return hypre_error_flag;
}
/* Initialize some data */
/* Set whether non-coarse points on each level should be explicitly tagged as F-points */
HYPRE_Int
hypre_MGRSetNonCpointsToFpoints( void *mgr_vdata, HYPRE_Int nonCptToFptFlag)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> set_non_Cpoints_to_F) = nonCptToFptFlag;
return hypre_error_flag;
}
/* Set whether the reserved C points are reduced before the coarse grid solve */
HYPRE_Int
hypre_MGRSetReservedCpointsLevelToKeep(void *mgr_vdata, HYPRE_Int level)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> lvl_to_keep_cpoints) = level;
return hypre_error_flag;
}
/* Set Cpoints by contiguous blocks, i.e. p1, p2, ..., pn, s1, s2, ..., sn, ... */
HYPRE_Int
hypre_MGRSetCpointsByContiguousBlock( void *mgr_vdata,
HYPRE_Int block_size,
HYPRE_Int max_num_levels,
HYPRE_BigInt *begin_idx_array,
HYPRE_Int *block_num_coarse_points,
HYPRE_Int **block_coarse_indexes)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
if((mgr_data -> idx_array) != NULL) {
hypre_TFree(mgr_data -> idx_array, HYPRE_MEMORY_HOST);
(mgr_data -> idx_array) = NULL;
}
HYPRE_BigInt *index_array = hypre_CTAlloc(HYPRE_BigInt, block_size, HYPRE_MEMORY_HOST);
if (begin_idx_array != NULL)
{
for (i = 0; i < block_size; i++) {
index_array[i] = *(begin_idx_array+i);
}
}
hypre_MGRSetCpointsByBlock(mgr_data, block_size, max_num_levels, block_num_coarse_points, block_coarse_indexes);
(mgr_data -> idx_array) = index_array;
(mgr_data -> set_c_points_method) = 1;
return hypre_error_flag;
}
/* Initialize/ set local block data information */
HYPRE_Int
hypre_MGRSetCpointsByBlock( void *mgr_vdata,
HYPRE_Int block_size,
HYPRE_Int max_num_levels,
HYPRE_Int *block_num_coarse_points,
HYPRE_Int **block_coarse_indexes)
{
HYPRE_Int i,j;
HYPRE_Int **block_cf_marker = NULL;
HYPRE_Int *block_num_coarse_indexes = NULL;
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
/* free block cf_marker data if not previously destroyed */
if((mgr_data -> block_cf_marker) != NULL)
{
for (i=0; i < (mgr_data -> max_num_coarse_levels); i++)
{
if ((mgr_data -> block_cf_marker)[i])
{
hypre_TFree((mgr_data -> block_cf_marker)[i], HYPRE_MEMORY_HOST);
(mgr_data -> block_cf_marker)[i] = NULL;
}
}
hypre_TFree(mgr_data -> block_cf_marker, HYPRE_MEMORY_HOST);
(mgr_data -> block_cf_marker) = NULL;
}
if((mgr_data -> block_num_coarse_indexes))
{
hypre_TFree((mgr_data -> block_num_coarse_indexes), HYPRE_MEMORY_HOST);
(mgr_data -> block_num_coarse_indexes) = NULL;
}
/* store block cf_marker */
block_cf_marker = hypre_CTAlloc(HYPRE_Int *, max_num_levels, HYPRE_MEMORY_HOST);
for (i = 0; i < max_num_levels; i++)
{
block_cf_marker[i] = hypre_CTAlloc(HYPRE_Int, block_size, HYPRE_MEMORY_HOST);
memset(block_cf_marker[i], FMRK, block_size*sizeof(HYPRE_Int));
}
for (i = 0; i < max_num_levels; i++)
{
for(j=0; j<block_num_coarse_points[i]; j++)
{
(block_cf_marker[i])[block_coarse_indexes[i][j]] = CMRK;
}
}
/* store block_num_coarse_points */
if(max_num_levels > 0)
{
block_num_coarse_indexes = hypre_CTAlloc(HYPRE_Int, max_num_levels, HYPRE_MEMORY_HOST);
for(i=0; i<max_num_levels; i++)
block_num_coarse_indexes[i] = block_num_coarse_points[i];
}
/* set block data */
(mgr_data -> max_num_coarse_levels) = max_num_levels;
(mgr_data -> block_size) = block_size;
(mgr_data -> block_num_coarse_indexes) = block_num_coarse_indexes;
(mgr_data -> block_cf_marker) = block_cf_marker;
(mgr_data -> set_c_points_method) = 0;
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRSetCpointsByPointMarkerArray( void *mgr_vdata,
HYPRE_Int block_size,
HYPRE_Int max_num_levels,
HYPRE_Int *lvl_num_coarse_points,
HYPRE_Int **lvl_coarse_indexes,
HYPRE_Int *point_marker_array)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i,j;
HYPRE_Int **block_cf_marker = NULL;
HYPRE_Int *block_num_coarse_indexes = NULL;
/* free block cf_marker data if not previously destroyed */
if((mgr_data -> block_cf_marker) != NULL)
{
for (i=0; i < (mgr_data -> max_num_coarse_levels); i++)
{
if ((mgr_data -> block_cf_marker)[i])
{
hypre_TFree((mgr_data -> block_cf_marker)[i], HYPRE_MEMORY_HOST);
(mgr_data -> block_cf_marker)[i] = NULL;
}
}
hypre_TFree(mgr_data -> block_cf_marker, HYPRE_MEMORY_HOST);
(mgr_data -> block_cf_marker) = NULL;
}
if((mgr_data -> block_num_coarse_indexes))
{
hypre_TFree((mgr_data -> block_num_coarse_indexes), HYPRE_MEMORY_HOST);
(mgr_data -> block_num_coarse_indexes) = NULL;
}
/* store block cf_marker */
block_cf_marker = hypre_CTAlloc(HYPRE_Int *, max_num_levels, HYPRE_MEMORY_HOST);
for (i = 0; i < max_num_levels; i++)
{
block_cf_marker[i] = hypre_CTAlloc(HYPRE_Int, block_size, HYPRE_MEMORY_HOST);
memset(block_cf_marker[i], FMRK, block_size*sizeof(HYPRE_Int));
}
for (i = 0; i < max_num_levels; i++)
{
for(j=0; j<lvl_num_coarse_points[i]; j++)
{
block_cf_marker[i][j] = lvl_coarse_indexes[i][j];
}
}
/* store block_num_coarse_points */
if(max_num_levels > 0)
{
block_num_coarse_indexes = hypre_CTAlloc(HYPRE_Int, max_num_levels, HYPRE_MEMORY_HOST);
for(i=0; i<max_num_levels; i++)
block_num_coarse_indexes[i] = lvl_num_coarse_points[i];
}
/* set block data */
(mgr_data -> max_num_coarse_levels) = max_num_levels;
(mgr_data -> block_size) = block_size;
(mgr_data -> block_num_coarse_indexes) = block_num_coarse_indexes;
(mgr_data -> block_cf_marker) = block_cf_marker;
(mgr_data -> point_marker_array) = point_marker_array;
(mgr_data -> set_c_points_method) = 2;
return hypre_error_flag;
}
/*Set number of points that remain part of the coarse grid throughout the hierarchy */
HYPRE_Int
hypre_MGRSetReservedCoarseNodes(void *mgr_vdata,
HYPRE_Int reserved_coarse_size,
HYPRE_BigInt *reserved_cpt_index)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_BigInt *reserved_coarse_indexes = NULL;
HYPRE_Int i;
if (!mgr_data)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC,"Warning! MGR object empty!\n");
return hypre_error_flag;
}
if(reserved_coarse_size < 0)
{
hypre_error_in_arg(2);
return hypre_error_flag;
}
/* free data not previously destroyed */
if((mgr_data -> reserved_coarse_indexes))
{
hypre_TFree((mgr_data -> reserved_coarse_indexes), HYPRE_MEMORY_HOST);
(mgr_data -> reserved_coarse_indexes) = NULL;
}
/* set reserved coarse nodes */
if(reserved_coarse_size > 0)
{
reserved_coarse_indexes = hypre_CTAlloc(HYPRE_BigInt, reserved_coarse_size, HYPRE_MEMORY_HOST);
for(i=0; i<reserved_coarse_size; i++)
reserved_coarse_indexes[i] = reserved_cpt_index[i];
}
(mgr_data -> reserved_coarse_size) = reserved_coarse_size;
(mgr_data -> reserved_coarse_indexes) = reserved_coarse_indexes;
return hypre_error_flag;
}
/* Set CF marker array */
HYPRE_Int
hypre_MGRCoarsen(hypre_ParCSRMatrix *S,
hypre_ParCSRMatrix *A,
HYPRE_Int fixed_coarse_size,
HYPRE_Int *fixed_coarse_indexes,
HYPRE_Int debug_flag,
hypre_IntArray **CF_marker_ptr,
HYPRE_Int cflag)
{
HYPRE_Int *CF_marker = NULL;
HYPRE_Int *cindexes = fixed_coarse_indexes;
HYPRE_Int i, row, nc;
HYPRE_Int nloc = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A));
/* If this is the last level, coarsen onto fixed coarse set */
if(cflag)
{
if(*CF_marker_ptr != NULL)
{
hypre_IntArrayDestroy(*CF_marker_ptr);
}
*CF_marker_ptr = hypre_IntArrayCreate(nloc);
hypre_IntArrayInitialize(*CF_marker_ptr);
hypre_IntArraySetConstantValues(*CF_marker_ptr, FMRK);
CF_marker = hypre_IntArrayData(*CF_marker_ptr);
/* first mark fixed coarse set */
nc = fixed_coarse_size;
for(i = 0; i < nc; i++)
{
CF_marker[cindexes[i]] = CMRK;
}
}
else
{
/* First coarsen to get initial CF splitting.
* This is then followed by updating the CF marker to pass
* coarse information to the next levels. NOTE: It may be
* convenient to implement this way (allows the use of multiple
* coarsening strategies without changing too much code),
* but not necessarily the best option, compared to initializing
* CF_marker first and then coarsening on subgraph which excludes
* the initialized coarse nodes.
*/
hypre_BoomerAMGCoarsen(S, A, 0, debug_flag, CF_marker_ptr);
CF_marker = hypre_IntArrayData(*CF_marker_ptr);
/* Update CF_marker to correct Cpoints marked as Fpoints. */
nc = fixed_coarse_size;
for(i = 0; i < nc; i++)
{
CF_marker[cindexes[i]] = CMRK;
}
/* set F-points to FMRK. This is necessary since the different coarsening schemes differentiate
* between type of F-points (example Ruge coarsening). We do not need that distinction here.
*/
for (row = 0; row <nloc; row++)
{
if(CF_marker[row] == CMRK) continue;
CF_marker[row] = FMRK;
}
#if 0
/* IMPORTANT: Update coarse_indexes array to define the positions of the fixed coarse points
* in the next level.
*/
nc = 0;
index_i = 0;
for (row = 0; row <nloc; row++)
{
/* loop through new c-points */
if(CF_marker[row] == CMRK) nc++;
else if(CF_marker[row] == S_CMRK)
{
/* previously marked c-point is part of fixed coarse set. Track its current local index */
cindexes[index_i++] = nc;
/* reset c-point from S_CMRK to CMRK */
cf_marker[row] = CMRK;
nc++;
}
/* set F-points to FMRK. This is necessary since the different coarsening schemes differentiate
* between type of F-points (example Ruge coarsening). We do not need that distinction here.
*/
else
{
CF_marker[row] = FMRK;
}
}
/* check if this should be last level */
if( nc == fixed_coarse_size)
last_level = 1;
//printf(" nc = %d and fixed coarse size = %d \n", nc, fixed_coarse_size);
#endif
}
return hypre_error_flag;
}
/* Interpolation for MGR - Adapted from BoomerAMGBuildInterp */
HYPRE_Int
hypre_MGRBuildP( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int method,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_Real *a_diag;
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter,jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
// HYPRE_Int jj_begin_row,jj_begin_row_offd;
// HYPRE_Int jj_end_row,jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *fine_to_coarse;
//HYPRE_BigInt *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int num_cols_P_offd;
HYPRE_Int i,i1;
HYPRE_Int j,jl,jj;
HYPRE_Int start;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int *int_buf_data;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
//num_threads = hypre_NumThreads();
// Temporary fix, disable threading
// TODO: enable threading
num_threads = 1;
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag < 0)
{
debug_flag = -debug_flag;
}
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_cols_A_offd) CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
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), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++] = CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is the approximation of A_{ff}^{-1}A_{fc}
*--------------------------------------------------------------------*/
else
{
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
if ((CF_marker[i1] >= 0) && (method > 0))
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
if ((CF_marker_offd[i1] >= 0) && (method > 0))
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i=0; i < num_threads-1; i++)
{
coarse_counter[i+1] += coarse_counter[i];
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_DEVICE);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_BigInt, num_cols_A_offd, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
fine_to_coarse[i] += coarse_shift;
}
}
/* 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++)
big_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)]+ my_first_cpt;
}
comm_handle = hypre_ParCSRCommHandleCreate( 21, comm_pkg, big_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
*/
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}
if (debug_flag==4) wall_time = time_getWallclockSeconds();
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
//for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
a_diag = hypre_CTAlloc(HYPRE_Real, n_fine, HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{
if (CF_marker[i] < 0)
{
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
if ( i==i1 ) /* diagonal of A only */
{
a_diag[i] = 1.0/A_diag_data[jj];
}
}
}
}
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,jj,ns,ne,size,rest,P_marker,P_marker_offd,jj_counter,jj_counter_offd,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (jl < rest)
{
ns = jl*size+jl;
ne = (jl+1)*size+jl+1;
}
else
{
ns = jl*size+rest;
ne = (jl+1)*size+rest;
}
jj_counter = 0;
if (jl > 0) jj_counter = jj_count[jl-1];
jj_counter_offd = 0;
if (jl > 0) jj_counter_offd = jj_count_offd[jl-1];
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
else
P_marker_offd = NULL;
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if ((CF_marker[i1] >= 0) && (method > 0))
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
/*
if(method == 0)
{
P_diag_data[jj_counter] = 0.0;
}
*/
if (method == 1)
{
P_diag_data[jj_counter] = - A_diag_data[jj];
}
else if (method == 2)
{
P_diag_data[jj_counter] = - A_diag_data[jj]*a_diag[i];
}
jj_counter++;
}
}
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if ((CF_marker_offd[i1] >= 0) && (method > 0))
{
P_marker_offd[i1] = jj_counter_offd;
/*P_offd_j[jj_counter_offd] = fine_to_coarse_offd[i1];*/
P_offd_j[jj_counter_offd] = i1;
/*
if(method == 0)
{
P_offd_data[jj_counter_offd] = 0.0;
}
*/
if (method == 1)
{
P_offd_data[jj_counter_offd] = - A_offd_data[jj];
}
else if (method == 2)
{
P_offd_data[jj_counter_offd] = - A_offd_data[jj]*a_diag[i];
}
jj_counter_offd++;
}
}
}
}
P_offd_i[i+1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST);
}
hypre_TFree(a_diag, HYPRE_MEMORY_HOST);
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < num_cols_A_offd; i++)
P_marker[i] = 0;
num_cols_P_offd = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_P_offd; i++)
{
while (P_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i=0; i < n_fine; i++)
if (CF_marker[i] == -3) CF_marker[i] = -1;
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P,A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
//hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
return(0);
}
/* Interpolation for MGR - Dynamic Row Sum method */
HYPRE_Int
hypre_MGRBuildPDRS( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int blk_size,
HYPRE_Int reserved_coarse_size,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_Real *a_diag;
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd;
HYPRE_Int *CF_marker_offd = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter,jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
// HYPRE_Int jj_begin_row,jj_begin_row_offd;
// HYPRE_Int jj_end_row,jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *fine_to_coarse;
//HYPRE_BigInt *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int num_cols_P_offd;
HYPRE_Int i,i1;
HYPRE_Int j,jl,jj;
HYPRE_Int start;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int *int_buf_data;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
//num_threads = hypre_NumThreads();
// Temporary fix, disable threading
// TODO: enable threading
num_threads = 1;
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag < 0)
{
debug_flag = -debug_flag;
}
if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_cols_A_offd) CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
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), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is the approximation of A_{ff}^{-1}A_{fc}
*--------------------------------------------------------------------*/
else
{
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
if (CF_marker[i1] >= 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
if (CF_marker_offd[i1] >= 0)
{
jj_count_offd[j]++;
}
}
}
}
/*--------------------------------------------------------------------
* Set up the indexes for the DRS method
*--------------------------------------------------------------------*/
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i=0; i < num_threads-1; i++)
{
coarse_counter[i+1] += coarse_counter[i];
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_HOST);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_HOST);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_HOST);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag==4) wall_time = time_getWallclockSeconds();
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
fine_to_coarse[i] += coarse_shift;
}
/*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++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
*/
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}
if (debug_flag==4) wall_time = time_getWallclockSeconds();
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
//for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
a_diag = hypre_CTAlloc(HYPRE_Real, n_fine, HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
if ( i==i1 ) /* diagonal of A only */
{
a_diag[i] = 1.0/A_diag_data[jj];
}
}
}
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,jj,ns,ne,size,rest,P_marker,P_marker_offd,jj_counter,jj_counter_offd,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (jl < rest)
{
ns = jl*size+jl;
ne = (jl+1)*size+jl+1;
}
else
{
ns = jl*size+rest;
ne = (jl+1)*size+rest;
}
jj_counter = 0;
if (jl > 0) jj_counter = jj_count[jl-1];
jj_counter_offd = 0;
if (jl > 0) jj_counter_offd = jj_count_offd[jl-1];
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
else
P_marker_offd = NULL;
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = - A_diag_data[jj]*a_diag[i];
jj_counter++;
}
}
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
/*P_offd_j[jj_counter_offd] = fine_to_coarse_offd[i1];*/
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = - A_offd_data[jj]*a_diag[i];
jj_counter_offd++;
}
}
}
}
P_offd_i[i+1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST);
}
hypre_TFree(a_diag, HYPRE_MEMORY_HOST);
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < num_cols_A_offd; i++)
P_marker[i] = 0;
num_cols_P_offd = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_P_offd; i++)
{
while (P_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i=0; i < n_fine; i++)
if (CF_marker[i] == -3) CF_marker[i] = -1;
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P,A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
// hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
return(0);
}
/* Scale ParCSR matrix A = scalar * A
* A: the target CSR matrix
* vector: array of real numbers
*/
HYPRE_Int
hypre_ParCSRMatrixLeftScale(HYPRE_Real *vector,
hypre_ParCSRMatrix *A)
{
HYPRE_Int i, j, n_local;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
n_local = hypre_CSRMatrixNumRows(A_diag);
for (i = 0; i < n_local; i++)
{
HYPRE_Real factor = vector[i];
for (j = A_diag_i[i]; j < A_diag_i[i+1]; j++)
{
A_diag_data[j] *= factor;
}
for (j = A_offd_i[i]; j < A_offd_i[i+1]; j++)
{
A_offd_data[j] *= factor;
}
}
return(0);
}
/************************************************************
* Available methods:
* 0: inv(A_FF) approximated by its diagonal inverse
* 1: inv(A_FF) approximated by sparse approximate inverse
*************************************************************/
HYPRE_Int
hypre_MGRComputeNonGalerkinCoarseGrid(hypre_ParCSRMatrix *A,
hypre_ParCSRMatrix *P,
hypre_ParCSRMatrix *RT,
HYPRE_Int bsize,
HYPRE_Int ordering,
HYPRE_Int method,
HYPRE_Int Pmax,
HYPRE_Int keep_stencil,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix **A_h_ptr)
{
HYPRE_Int *c_marker, *f_marker;
HYPRE_Int n_local_fine_grid, i, i1, jj;
hypre_ParCSRMatrix *A_cc;
hypre_ParCSRMatrix *A_ff;
hypre_ParCSRMatrix *A_fc;
hypre_ParCSRMatrix *A_cf;
hypre_ParCSRMatrix *A_h;
hypre_ParCSRMatrix *A_h_correction;
HYPRE_Int max_elmts = Pmax;
// HYPRE_Real wall_time = 0.;
hypre_ParCSRMatrix *P_mod = NULL;
HYPRE_Int my_id;
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_MPI_Comm_rank(comm,&my_id);
HYPRE_MemoryLocation memory_location = hypre_ParCSRMatrixMemoryLocation(A);
n_local_fine_grid = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A));
c_marker = hypre_CTAlloc(HYPRE_Int, n_local_fine_grid, HYPRE_MEMORY_HOST);
f_marker = hypre_CTAlloc(HYPRE_Int, n_local_fine_grid, HYPRE_MEMORY_HOST);
for (i = 0; i < n_local_fine_grid; i++)
{
HYPRE_Int point_type = CF_marker[i];
hypre_assert(point_type == 1 || point_type == -1);
c_marker[i] = point_type;
f_marker[i] = -point_type;
}
// get the A_cc sub-block
hypre_MGRGetSubBlock(A, c_marker, c_marker, 0, &A_cc);
if (method == 0)
{
if (keep_stencil)
{
//wall_time = time_getWallclockSeconds();
hypre_MGRGetSubBlock(A, c_marker, f_marker, 0, &A_cf);
hypre_MGRGetSubBlock(A, f_marker, c_marker, 0, &A_fc);
hypre_MGRGetSubBlock(A, f_marker, f_marker, 0, &A_ff);
// extract the diagonal of A_ff and compute D_ff_inv
hypre_CSRMatrix *A_ff_diag = hypre_ParCSRMatrixDiag(A_ff);
HYPRE_Real *A_ff_diag_data = hypre_CSRMatrixData(A_ff_diag);
HYPRE_Int *A_ff_diag_i = hypre_CSRMatrixI(A_ff_diag);
HYPRE_Int *A_ff_diag_j = hypre_CSRMatrixJ(A_ff_diag);
HYPRE_Int n_local_fpoints = hypre_CSRMatrixNumRows(A_ff_diag);
HYPRE_Real *D_ff_inv;
D_ff_inv = hypre_CTAlloc(HYPRE_Real, n_local_fpoints, HYPRE_MEMORY_HOST);
for (i = 0; i < n_local_fpoints; i++)
{
for (jj = A_ff_diag_i[i]; jj < A_ff_diag_i[i+1]; jj++)
{
i1 = A_ff_diag_j[jj];
if ( i==i1 )
{
D_ff_inv[i] = -1.0/A_ff_diag_data[jj];
}
}
}
// extract the diagonal of A_cf
hypre_CSRMatrix *A_cf_diag = hypre_ParCSRMatrixDiag(A_cf);
HYPRE_Real *A_cf_diag_data = hypre_CSRMatrixData(A_cf_diag);
HYPRE_Int *A_cf_diag_i = hypre_CSRMatrixI(A_cf_diag);
HYPRE_Int *A_cf_diag_j = hypre_CSRMatrixJ(A_cf_diag);
n_local_fpoints = hypre_CSRMatrixNumRows(A_cf_diag);
HYPRE_Real *D_cf;
D_cf = hypre_CTAlloc(HYPRE_Real, n_local_fpoints, HYPRE_MEMORY_HOST);
for (i = 0; i < n_local_fpoints; i++)
{
i1 = A_cf_diag_j[A_cf_diag_i[i]];
D_cf[i] = A_cf_diag_data[jj];
}
// compute the triple product
hypre_ParCSRMatrixLeftScale(D_ff_inv, A_fc);
hypre_ParCSRMatrixLeftScale(D_cf, A_fc);
A_h_correction = A_fc;
hypre_TFree(D_cf, HYPRE_MEMORY_HOST);
hypre_TFree(D_ff_inv, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixDestroy(A_ff);
hypre_ParCSRMatrixDestroy(A_cf);
//wall_time = time_getWallclockSeconds() - wall_time;
//hypre_printf("Compute triple product D_cf * D_ff_inv * A_fc time: %1.5f\n", wall_time);
}
else
{
//wall_time = time_getWallclockSeconds();
P_mod = hypre_ParCSRMatrixCompleteClone(P);
hypre_ParCSRMatrixCopy(P,P_mod,1);
HYPRE_Int n_local_rows = hypre_ParCSRMatrixNumRows(P_mod);
hypre_CSRMatrix *P_mod_diag = hypre_ParCSRMatrixDiag(P_mod);
HYPRE_Int *P_mod_diag_i = hypre_CSRMatrixI(P_mod_diag);
HYPRE_Real *P_mod_diag_data = hypre_CSRMatrixData(P_mod_diag);
for (i = 0; i < n_local_rows; i ++)
{
if (CF_marker[i] >= 0)
{
HYPRE_Int ii = P_mod_diag_i[i];
P_mod_diag_data[ii] = 0.0;
}
}
hypre_BoomerAMGBuildCoarseOperator(RT, A, P_mod, &A_h_correction);
//wall_time = time_getWallclockSeconds() - wall_time;
//hypre_printf("Compute triple product time new: %1.5f\n", wall_time);
hypre_ParCSRMatrixDestroy(P_mod);
}
}
else
{
// Approximate inverse for ideal interploation
hypre_MGRGetSubBlock(A, c_marker, f_marker, 0, &A_cf);
hypre_MGRGetSubBlock(A, f_marker, c_marker, 0, &A_fc);
hypre_MGRGetSubBlock(A, f_marker, f_marker, 0, &A_ff);
hypre_ParCSRMatrix *A_ff_inv = NULL;
hypre_ParCSRMatrix *minus_Wp = NULL;
hypre_MGRApproximateInverse(A_ff, &A_ff_inv);
minus_Wp = hypre_ParMatmul(A_ff_inv, A_fc);
A_h_correction = hypre_ParMatmul(A_cf, minus_Wp);
hypre_ParCSRMatrixDestroy(minus_Wp);
hypre_ParCSRMatrixDestroy(A_ff);
hypre_ParCSRMatrixDestroy(A_fc);
hypre_ParCSRMatrixDestroy(A_cf);
}
// perform dropping for A_h_correction
// specific to multiphase poromechanics
// we only keep the diagonal of each block
//wall_time = time_getWallclockSeconds();
HYPRE_Int n_local_cpoints = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A_h_correction));
hypre_CSRMatrix *A_h_correction_diag = hypre_ParCSRMatrixDiag(A_h_correction);
HYPRE_Real *A_h_correction_diag_data = hypre_CSRMatrixData(A_h_correction_diag);
HYPRE_Int *A_h_correction_diag_i = hypre_CSRMatrixI(A_h_correction_diag);
HYPRE_Int *A_h_correction_diag_j = hypre_CSRMatrixJ(A_h_correction_diag);
HYPRE_Int ncol_diag = hypre_CSRMatrixNumCols(A_h_correction_diag);
hypre_CSRMatrix *A_h_correction_offd = hypre_ParCSRMatrixOffd(A_h_correction);
HYPRE_Real *A_h_correction_offd_data = hypre_CSRMatrixData(A_h_correction_offd);
HYPRE_Int *A_h_correction_offd_i = hypre_CSRMatrixI(A_h_correction_offd);
HYPRE_Int *A_h_correction_offd_j = hypre_CSRMatrixJ(A_h_correction_offd);
if (Pmax > 0)
{
if (ordering == 0) // interleaved ordering
{
HYPRE_Int *A_h_correction_diag_i_new = hypre_CTAlloc(HYPRE_Int, n_local_cpoints+1, memory_location);
HYPRE_Int *A_h_correction_diag_j_new = hypre_CTAlloc(HYPRE_Int, (bsize + max_elmts)*n_local_cpoints, memory_location);
HYPRE_Complex *A_h_correction_diag_data_new = hypre_CTAlloc(HYPRE_Complex, (bsize + max_elmts)*n_local_cpoints, memory_location);
HYPRE_Int num_nonzeros_diag_new = 0;
HYPRE_Int *A_h_correction_offd_i_new = hypre_CTAlloc(HYPRE_Int, n_local_cpoints+1, memory_location);
HYPRE_Int *A_h_correction_offd_j_new = hypre_CTAlloc(HYPRE_Int, max_elmts*n_local_cpoints, memory_location);
HYPRE_Complex *A_h_correction_offd_data_new = hypre_CTAlloc(HYPRE_Complex, max_elmts*n_local_cpoints, memory_location);
HYPRE_Int num_nonzeros_offd_new = 0;
for (i = 0; i < n_local_cpoints; i++)
{
HYPRE_Int max_num_nonzeros = A_h_correction_diag_i[i+1] - A_h_correction_diag_i[i] + A_h_correction_offd_i[i+1] - A_h_correction_offd_i[i];
HYPRE_Int *aux_j = hypre_CTAlloc(HYPRE_Int, max_num_nonzeros, HYPRE_MEMORY_HOST);
HYPRE_Real *aux_data = hypre_CTAlloc(HYPRE_Real, max_num_nonzeros, HYPRE_MEMORY_HOST);
HYPRE_Int row_start = i - (i % bsize);
HYPRE_Int row_stop = row_start + bsize - 1;
HYPRE_Int cnt = 0;
for (jj = A_h_correction_offd_i[i]; jj < A_h_correction_offd_i[i+1]; jj++)
{
aux_j[cnt] = A_h_correction_offd_j[jj] + ncol_diag;
aux_data[cnt] = A_h_correction_offd_data[jj];
cnt++;
}
for (jj = A_h_correction_diag_i[i]; jj < A_h_correction_diag_i[i+1]; jj++)
{
aux_j[cnt] = A_h_correction_diag_j[jj];
aux_data[cnt] = A_h_correction_diag_data[jj];
cnt++;
}
hypre_qsort2_abs(aux_j, aux_data, 0, cnt-1);
for (jj = A_h_correction_diag_i[i]; jj < A_h_correction_diag_i[i+1]; jj++)
{
i1 = A_h_correction_diag_j[jj];
if (i1 >= row_start && i1 <= row_stop)
{
// copy data to new arrays
A_h_correction_diag_j_new[num_nonzeros_diag_new] = i1;
A_h_correction_diag_data_new[num_nonzeros_diag_new] = A_h_correction_diag_data[jj];
++num_nonzeros_diag_new;
}
else
{
// Do nothing
}
}
if (max_elmts > 0)
{
for (jj = 0; jj < hypre_min(max_elmts, cnt); jj++)
{
HYPRE_Int col_idx = aux_j[jj];
HYPRE_Real col_value = aux_data[jj];
if (col_idx < ncol_diag && (col_idx < row_start || col_idx > row_stop))
{
A_h_correction_diag_j_new[num_nonzeros_diag_new] = col_idx;
A_h_correction_diag_data_new[num_nonzeros_diag_new] = col_value;
++num_nonzeros_diag_new;
}
else if (col_idx >= ncol_diag)
{
A_h_correction_offd_j_new[num_nonzeros_offd_new] = col_idx - ncol_diag;
A_h_correction_offd_data_new[num_nonzeros_offd_new] = col_value;
++num_nonzeros_offd_new;
}
}
}
A_h_correction_diag_i_new[i+1] = num_nonzeros_diag_new;
A_h_correction_offd_i_new[i+1] = num_nonzeros_offd_new;
hypre_TFree(aux_j, HYPRE_MEMORY_HOST);
hypre_TFree(aux_data, HYPRE_MEMORY_HOST);
}
hypre_TFree(A_h_correction_diag_i, memory_location);
hypre_TFree(A_h_correction_diag_j, memory_location);
hypre_TFree(A_h_correction_diag_data, memory_location);
hypre_CSRMatrixI(A_h_correction_diag) = A_h_correction_diag_i_new;
hypre_CSRMatrixJ(A_h_correction_diag) = A_h_correction_diag_j_new;
hypre_CSRMatrixData(A_h_correction_diag) = A_h_correction_diag_data_new;
hypre_CSRMatrixNumNonzeros(A_h_correction_diag) = num_nonzeros_diag_new;
if (A_h_correction_offd_i) hypre_TFree(A_h_correction_offd_i, memory_location);
if (A_h_correction_offd_j) hypre_TFree(A_h_correction_offd_j, memory_location);
if (A_h_correction_offd_data) hypre_TFree(A_h_correction_offd_data, memory_location);
hypre_CSRMatrixI(A_h_correction_offd) = A_h_correction_offd_i_new;
hypre_CSRMatrixJ(A_h_correction_offd) = A_h_correction_offd_j_new;
hypre_CSRMatrixData(A_h_correction_offd) = A_h_correction_offd_data_new;
hypre_CSRMatrixNumNonzeros(A_h_correction_offd) = num_nonzeros_offd_new;
}
else
{
hypre_printf("Error!! Block ordering for non-Galerkin coarse grid is not currently supported\n");
exit(-1);
}
}
//hypre_MGRParCSRMatrixTruncate(A_h_correction, max_elmts);
//wall_time = time_getWallclockSeconds() - wall_time;
//hypre_printf("Filter A_h_correction time: %1.5f\n", wall_time);
//hypre_ParCSRMatrixPrintIJ(A_h_correction,1,1,"A_h_correction_filtered");
// coarse grid / schur complement
hypre_ParCSRMatrixAdd(1.0, A_cc, 1.0, A_h_correction, &A_h);
*A_h_ptr = A_h;
//hypre_ParCSRMatrixPrintIJ(A_h,1,1,"A_h");
hypre_ParCSRMatrixDestroy(A_cc);
hypre_ParCSRMatrixDestroy(A_h_correction);
hypre_TFree(c_marker, HYPRE_MEMORY_HOST);
hypre_TFree(f_marker, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRComputeAlgebraicFixedStress(hypre_ParCSRMatrix *A,
HYPRE_BigInt *mgr_idx_array,
HYPRE_Solver A_ff_solver)
{
HYPRE_Int *U_marker, *S_marker, *P_marker;
HYPRE_Int n_fine, i;
HYPRE_BigInt ibegin;
hypre_ParCSRMatrix *A_up;
hypre_ParCSRMatrix *A_uu;
hypre_ParCSRMatrix *A_su;
hypre_ParCSRMatrix *A_pu;
hypre_ParVector *e1_vector;
hypre_ParVector *e2_vector;
hypre_ParVector *e3_vector;
hypre_ParVector *e4_vector;
hypre_ParVector *e5_vector;
n_fine = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A));
ibegin = hypre_ParCSRMatrixFirstRowIndex(A);
hypre_assert(ibegin == mgr_idx_array[0]);
U_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
S_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{
U_marker[i] = -1;
S_marker[i] = -1;
P_marker[i] = -1;
}
// create C and F markers
for (i = 0; i < n_fine; i++)
{
if (i < mgr_idx_array[1] - ibegin)
{
U_marker[i] = 1;
}
else if (i >= (mgr_idx_array[1] - ibegin) && i < (mgr_idx_array[2] - ibegin))
{
S_marker[i] = 1;
}
else
{
P_marker[i] = 1;
}
}
// Get A_up
hypre_MGRGetSubBlock(A, U_marker, P_marker, 0, &A_up);
// GetA_uu
hypre_MGRGetSubBlock(A, U_marker, U_marker, 0, &A_uu);
// Get A_su
hypre_MGRGetSubBlock(A, S_marker, U_marker, 0, &A_su);
// Get A_pu
hypre_MGRGetSubBlock(A, P_marker, U_marker, 0, &A_pu);
e1_vector = hypre_ParVectorCreate(hypre_ParCSRMatrixComm(A_up),
hypre_ParCSRMatrixGlobalNumCols(A_up),
hypre_ParCSRMatrixColStarts(A_up));
hypre_ParVectorInitialize(e1_vector);
hypre_ParVectorSetConstantValues(e1_vector, 1.0);
e2_vector = hypre_ParVectorCreate(hypre_ParCSRMatrixComm(A_uu),
hypre_ParCSRMatrixGlobalNumRows(A_uu),
hypre_ParCSRMatrixRowStarts(A_uu));
hypre_ParVectorInitialize(e2_vector);
hypre_ParVectorSetConstantValues(e2_vector, 0.0);
e3_vector = hypre_ParVectorCreate(hypre_ParCSRMatrixComm(A_uu),
hypre_ParCSRMatrixGlobalNumRows(A_uu),
hypre_ParCSRMatrixRowStarts(A_uu));
hypre_ParVectorInitialize(e3_vector);
hypre_ParVectorSetConstantValues(e3_vector, 0.0);
e4_vector = hypre_ParVectorCreate(hypre_ParCSRMatrixComm(A_su),
hypre_ParCSRMatrixGlobalNumRows(A_su),
hypre_ParCSRMatrixRowStarts(A_su));
hypre_ParVectorInitialize(e4_vector);
hypre_ParVectorSetConstantValues(e4_vector, 0.0);
e5_vector = hypre_ParVectorCreate(hypre_ParCSRMatrixComm(A_pu),
hypre_ParCSRMatrixGlobalNumRows(A_pu),
hypre_ParCSRMatrixRowStarts(A_pu));
hypre_ParVectorInitialize(e5_vector);
hypre_ParVectorSetConstantValues(e5_vector, 0.0);
// compute e2 = A_up * e1
hypre_ParCSRMatrixMatvecOutOfPlace(1.0, A_up, e1_vector, 0.0, e2_vector, e2_vector);
// solve e3 = A_uu^-1 * e2
hypre_BoomerAMGSolve(A_ff_solver, A_uu, e2_vector, e3_vector);
// compute e4 = A_su * e3
hypre_ParCSRMatrixMatvecOutOfPlace(1.0, A_su, e3_vector, 0.0, e4_vector, e4_vector);
// compute e4 = A_su * e3
hypre_ParCSRMatrixMatvecOutOfPlace(1.0, A_su, e3_vector, 0.0, e4_vector, e4_vector);
// print e4
hypre_ParVectorPrintIJ(e4_vector,1,"Dsp");
// compute e5 = A_pu * e3
hypre_ParCSRMatrixMatvecOutOfPlace(1.0, A_pu, e3_vector, 0.0, e5_vector, e5_vector);
hypre_ParVectorPrintIJ(e5_vector,1,"Dpp");
hypre_ParVectorDestroy(e1_vector);
hypre_ParVectorDestroy(e2_vector);
hypre_ParVectorDestroy(e3_vector);
hypre_ParCSRMatrixDestroy(A_uu);
hypre_ParCSRMatrixDestroy(A_up);
hypre_ParCSRMatrixDestroy(A_pu);
hypre_ParCSRMatrixDestroy(A_su);
hypre_TFree(U_marker, HYPRE_MEMORY_HOST);
hypre_TFree(S_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRApproximateInverse(hypre_ParCSRMatrix *A,
hypre_ParCSRMatrix **A_inv)
{
HYPRE_Int print_level, mr_max_row_nnz, mr_max_iter, nsh_max_row_nnz, nsh_max_iter, mr_col_version;
HYPRE_Real mr_tol, nsh_tol;
HYPRE_Real *droptol = hypre_CTAlloc(HYPRE_Real, 2, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrix *approx_A_inv = NULL;
print_level = 0;
nsh_max_iter = 2;
nsh_max_row_nnz = 2; // default 1000
mr_max_iter = 1;
mr_tol = 1.0e-3;
mr_max_row_nnz = 2; // default 800
mr_col_version = 0;
nsh_tol = 1.0e-3;
droptol[0] = 1.0e-2;
droptol[1] = 1.0e-2;
hypre_ILUParCSRInverseNSH(A, &approx_A_inv, droptol, mr_tol, nsh_tol, DIVIDE_TOL, mr_max_row_nnz,
nsh_max_row_nnz, mr_max_iter, nsh_max_iter, mr_col_version, print_level);
*A_inv = approx_A_inv;
if (droptol) hypre_TFree(droptol, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRBuildInterpApproximateInverseExp(hypre_ParCSRMatrix *A,
hypre_ParCSRMatrix *S,
HYPRE_Int *CF_marker,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **P_ptr)
{
HYPRE_Int *C_marker;
HYPRE_Int *F_marker;
hypre_ParCSRMatrix *A_fc;
hypre_ParCSRMatrix *minus_Wp;
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int jj_counter,jj_counter_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A));
HYPRE_Int *fine_to_coarse = NULL;
HYPRE_Int coarse_counter;
HYPRE_BigInt total_global_cpts;
HYPRE_Int num_cols_P_offd;
// HYPRE_BigInt my_first_cpt;
HYPRE_Int i, jj;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
// HYPRE_Int num_threads;
// HYPRE_Real wall_time; /* for debugging instrumentation */
C_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
F_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
// create C and F markers
for (i = 0; i < n_fine; i++)
{
C_marker[i] = (CF_marker[i] == 1)? 1: -1;
F_marker[i] = (CF_marker[i] == 1) ? -1: 1;
}
// Get A_FC
hypre_MGRGetSubBlock(A, F_marker, C_marker, 0, &A_fc);
// compute -Wp
minus_Wp = hypre_ParMatmul(S, A_fc);
hypre_CSRMatrix *minus_Wp_diag = hypre_ParCSRMatrixDiag(minus_Wp);
HYPRE_Real *minus_Wp_diag_data = hypre_CSRMatrixData(minus_Wp_diag);
HYPRE_Int *minus_Wp_diag_i = hypre_CSRMatrixI(minus_Wp_diag);
HYPRE_Int *minus_Wp_diag_j = hypre_CSRMatrixJ(minus_Wp_diag);
hypre_CSRMatrix *minus_Wp_offd = hypre_ParCSRMatrixOffd(minus_Wp);
HYPRE_Real *minus_Wp_offd_data = hypre_CSRMatrixData(minus_Wp_offd);
HYPRE_Int *minus_Wp_offd_i = hypre_CSRMatrixI(minus_Wp_offd);
HYPRE_Int *minus_Wp_offd_j = hypre_CSRMatrixJ(minus_Wp_offd);
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
// num_threads = hypre_NumThreads();
// my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
HYPRE_Int row_counter = 0;
coarse_counter = 0;
for (i = 0; i < n_fine; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] > 0)
{
jj_counter++;
fine_to_coarse[i] = coarse_counter;
coarse_counter++;
}
else
{
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is the approximation of A_{ff}^{-1}A_{fc}
*--------------------------------------------------------------------*/
for (jj = minus_Wp_diag_i[row_counter]; jj < minus_Wp_diag_i[row_counter+1]; jj++)
{
jj_counter++;
}
if (num_procs > 1)
{
for (jj = minus_Wp_offd_i[row_counter]; jj < minus_Wp_offd_i[row_counter+1]; jj++)
{
jj_counter_offd++;
}
}
row_counter++;
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_DEVICE);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
row_counter = 0;
for (i = 0; i < n_fine; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
for (jj = minus_Wp_diag_i[row_counter]; jj < minus_Wp_diag_i[row_counter+1]; jj++)
{
P_diag_j[jj_counter] = minus_Wp_diag_j[jj];
P_diag_data[jj_counter] = - minus_Wp_diag_data[jj];
jj_counter++;
}
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
if (num_procs > 1)
{
for (jj = minus_Wp_offd_i[row_counter]; jj < minus_Wp_offd_i[row_counter+1]; jj++)
{
P_offd_j[jj_counter_offd] = minus_Wp_offd_j[jj];
P_offd_data[jj_counter_offd] = - minus_Wp_offd_data[jj];
jj_counter_offd++;
}
}
row_counter++;
}
P_offd_i[i+1] = jj_counter_offd;
}
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
num_cols_P_offd = hypre_CSRMatrixNumCols(minus_Wp_offd);
HYPRE_BigInt *col_map_offd_tmp = hypre_ParCSRMatrixColMapOffd(minus_Wp);
if (P_offd_size)
{
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
for (i=0; i < num_cols_P_offd; i++)
{
col_map_offd_P[i] = col_map_offd_tmp[i];
}
}
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_MatvecCommPkgCreate(P);
*P_ptr = P;
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(C_marker, HYPRE_MEMORY_HOST);
hypre_TFree(F_marker, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixDestroy(A_fc);
hypre_ParCSRMatrixDestroy(minus_Wp);
return 0;
}
HYPRE_Int
hypre_MGRBuildInterpApproximateInverse(hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **P_ptr)
{
HYPRE_Int *C_marker;
HYPRE_Int *F_marker;
hypre_ParCSRMatrix *A_ff;
hypre_ParCSRMatrix *A_fc;
hypre_ParCSRMatrix *A_ff_inv;
hypre_ParCSRMatrix *minus_Wp;
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int jj_counter,jj_counter_offd;
//HYPRE_Int jj_begin_row,jj_begin_row_offd;
//HYPRE_Int jj_end_row,jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A));
HYPRE_Int *fine_to_coarse = NULL;
//HYPRE_Int *coarse_counter;
HYPRE_Int coarse_counter;
HYPRE_BigInt total_global_cpts;
HYPRE_Int num_cols_P_offd;
// HYPRE_BigInt my_first_cpt;
HYPRE_Int i,jj;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
// HYPRE_Int num_threads;
// HYPRE_Real wall_time; /* for debugging instrumentation */
C_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
F_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
// create C and F markers
for (i = 0; i < n_fine; i++)
{
C_marker[i] = (CF_marker[i] == 1)? 1: -1;
F_marker[i] = (CF_marker[i] == 1) ? -1: 1;
}
// Get A_FF
hypre_MGRGetSubBlock(A, F_marker, F_marker, 0, &A_ff);
// hypre_ParCSRMatrixPrintIJ(A_ff, 1, 1, "A_ff");
// Get A_FC
hypre_MGRGetSubBlock(A, F_marker, C_marker, 0, &A_fc);
hypre_MGRApproximateInverse(A_ff, &A_ff_inv);
// hypre_ParCSRMatrixPrintIJ(A_ff_inv, 1, 1, "A_ff_inv");
// hypre_ParCSRMatrixPrintIJ(A_fc, 1, 1, "A_fc");
minus_Wp = hypre_ParMatmul(A_ff_inv, A_fc);
// hypre_ParCSRMatrixPrintIJ(minus_Wp, 1, 1, "Wp");
hypre_CSRMatrix *minus_Wp_diag = hypre_ParCSRMatrixDiag(minus_Wp);
HYPRE_Real *minus_Wp_diag_data = hypre_CSRMatrixData(minus_Wp_diag);
HYPRE_Int *minus_Wp_diag_i = hypre_CSRMatrixI(minus_Wp_diag);
HYPRE_Int *minus_Wp_diag_j = hypre_CSRMatrixJ(minus_Wp_diag);
hypre_CSRMatrix *minus_Wp_offd = hypre_ParCSRMatrixOffd(minus_Wp);
HYPRE_Real *minus_Wp_offd_data = hypre_CSRMatrixData(minus_Wp_offd);
HYPRE_Int *minus_Wp_offd_i = hypre_CSRMatrixI(minus_Wp_offd);
HYPRE_Int *minus_Wp_offd_j = hypre_CSRMatrixJ(minus_Wp_offd);
//hypre_CSRMatrix *minus_Wp_offd = hypre_ParCSRMatrixOffd(minus_Wp);
//HYPRE_Int num_cols_minus_Wp_offd = hypre_CSRMatrixNumCols(minus_Wp_offd);
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
// num_threads = hypre_NumThreads();
// my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs -1)) total_global_cpts = num_cpts_global[1];
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
//coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
//jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
//jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
HYPRE_Int row_counter = 0;
coarse_counter = 0;
for (i = 0; i < n_fine; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] > 0)
{
//jj_count[j]++;
//fine_to_coarse[i] = coarse_counter[j];
//coarse_counter[j]++;
jj_counter++;
fine_to_coarse[i] = coarse_counter;
coarse_counter++;
}
else
{
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is the approximation of A_{ff}^{-1}A_{fc}
*--------------------------------------------------------------------*/
for (jj = minus_Wp_diag_i[row_counter]; jj < minus_Wp_diag_i[row_counter+1]; jj++)
{
//jj_count[j]++;
jj_counter++;
}
if (num_procs > 1)
{
for (jj = minus_Wp_offd_i[row_counter]; jj < minus_Wp_offd_i[row_counter+1]; jj++)
{
//jj_count_offd[j]++;
jj_counter_offd++;
}
}
row_counter++;
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
/*
for (i=0; i < num_threads-1; i++)
{
coarse_counter[i+1] += coarse_counter[i];
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
*/
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine+1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_DEVICE);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
*/
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
/*
if (num_procs > 1)
{
if (debug_flag==4) wall_time = time_getWallclockSeconds();
fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_minus_Wp_offd, HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{
fine_to_coarse[i] += my_first_cpt;
}
comm_pkg = hypre_ParCSRMatrixCommPkg(minus_Wp);
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(minus_Wp);
comm_pkg = hypre_ParCSRMatrixCommPkg(minus_Wp);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
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++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}
if (debug_flag==4) wall_time = time_getWallclockSeconds();
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;
}
*/
row_counter = 0;
for (i = 0; i < n_fine; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
for (jj = minus_Wp_diag_i[row_counter]; jj < minus_Wp_diag_i[row_counter+1]; jj++)
{
//P_marker[row_counter] = jj_counter;
P_diag_j[jj_counter] = minus_Wp_diag_j[jj];
P_diag_data[jj_counter] = - minus_Wp_diag_data[jj];
jj_counter++;
}
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
if (num_procs > 1)
{
for (jj = minus_Wp_offd_i[row_counter]; jj < minus_Wp_offd_i[row_counter+1]; jj++)
{
//P_marker_offd[row_counter] = jj_counter_offd;
P_offd_j[jj_counter_offd] = minus_Wp_offd_j[jj];
P_offd_data[jj_counter_offd] = - minus_Wp_offd_data[jj];
jj_counter_offd++;
}
}
row_counter++;
}
P_offd_i[i+1] = jj_counter_offd;
}
//hypre_printf("Num rows of Wp = %d\n", row_counter);
//P_offd_i[row_counter] = jj_counter_offd;
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
num_cols_P_offd = hypre_CSRMatrixNumCols(minus_Wp_offd);
HYPRE_BigInt *col_map_offd_tmp = hypre_ParCSRMatrixColMapOffd(minus_Wp);
if (P_offd_size)
{
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
for (i=0; i < num_cols_P_offd; i++)
{
col_map_offd_P[i] = col_map_offd_tmp[i];
}
}
/*
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_minus_Wp_offd, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < num_cols_minus_Wp_offd; i++)
P_marker[i] = 0;
num_cols_P_offd = 0;
for (i=0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_P_offd; i++)
{
while (P_marker[index]==0) index++;
col_map_offd_P[i] = index++;
}
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(col_map_offd_P,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
*/
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_MatvecCommPkgCreate(P);
//hypre_GetCommPkgRTFromCommPkgA(P,A, fine_to_coarse_offd);
*P_ptr = P;
//hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
//hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
//if (fine_to_coarse_offd) hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
//hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
//hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
//hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
hypre_TFree(C_marker, HYPRE_MEMORY_HOST);
hypre_TFree(F_marker, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixDestroy(A_ff);
hypre_ParCSRMatrixDestroy(A_fc);
hypre_ParCSRMatrixDestroy(A_ff_inv);
hypre_ParCSRMatrixDestroy(minus_Wp);
return 0;
}
/* Setup interpolation operator */
HYPRE_Int
hypre_MGRBuildInterp(hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P,
HYPRE_Int interp_type,
HYPRE_Int numsweeps)
{
// HYPRE_Int i;
hypre_ParCSRMatrix *P_ptr = NULL;
// HYPRE_Real jac_trunc_threshold = trunc_factor;
// HYPRE_Real jac_trunc_threshold_minus = 0.5*jac_trunc_threshold;
/* Interpolation for each level */
if (interp_type <3)
{
hypre_MGRBuildP( A,CF_marker,num_cpts_global,interp_type,debug_flag,&P_ptr);
/* Could do a few sweeps of Jacobi to further improve Jacobi interpolation P */
/*
if(interp_type == 2)
{
for(i=0; i<numsweeps; i++)
{
hypre_BoomerAMGJacobiInterp(A, &P_ptr, S,1, NULL, CF_marker, 0, jac_trunc_threshold, jac_trunc_threshold_minus );
}
hypre_BoomerAMGInterpTruncation(P_ptr, trunc_factor, max_elmts);
}
*/
}
else if (interp_type == 4)
{
hypre_MGRBuildInterpApproximateInverse(A, CF_marker, num_cpts_global, debug_flag, &P_ptr);
hypre_BoomerAMGInterpTruncation(P_ptr, trunc_factor, max_elmts);
}
else if (interp_type == 99)
{
hypre_MGRBuildInterpApproximateInverseExp(A, S, CF_marker, num_cpts_global, debug_flag, &P_ptr);
hypre_BoomerAMGInterpTruncation(P_ptr, trunc_factor, max_elmts);
}
else
{
/* Classical modified interpolation */
hypre_BoomerAMGBuildInterp(A, CF_marker, S, num_cpts_global,1, NULL,debug_flag,
trunc_factor, max_elmts, &P_ptr);
}
/* set pointer to P */
*P = P_ptr;
return hypre_error_flag;
}
/* Setup restriction operator */
HYPRE_Int
hypre_MGRBuildRestrict(hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
HYPRE_Real strong_threshold,
HYPRE_Real max_row_sum,
hypre_ParCSRMatrix **R,
HYPRE_Int restrict_type,
HYPRE_Int numsweeps)
{
// HYPRE_Int i;
hypre_ParCSRMatrix *R_ptr = NULL;
hypre_ParCSRMatrix *AT = NULL;
hypre_ParCSRMatrix *ST = NULL;
// HYPRE_Real jac_trunc_threshold = trunc_factor;
// HYPRE_Real jac_trunc_threshold_minus = 0.5*jac_trunc_threshold;
/* Build AT (transpose A) */
if (restrict_type > 0)
{
hypre_ParCSRMatrixTranspose(A, &AT, 1);
}
/* Restriction for each level */
if (restrict_type == 0)
{
hypre_MGRBuildP(A, CF_marker, num_cpts_global, restrict_type, debug_flag, &R_ptr);
}
else if (restrict_type == 1 || restrict_type == 2)
{
hypre_MGRBuildP(AT, CF_marker, num_cpts_global, restrict_type, debug_flag, &R_ptr);
}
else if (restrict_type == 3)
{
/* move diagonal to first entry */
hypre_CSRMatrixReorder(hypre_ParCSRMatrixDiag(AT));
hypre_MGRBuildInterpApproximateInverse(AT, CF_marker, num_cpts_global, debug_flag, &R_ptr);
hypre_BoomerAMGInterpTruncation(R_ptr, trunc_factor, max_elmts);
}
else
{
/* Build new strength matrix */
hypre_BoomerAMGCreateS(AT, strong_threshold, max_row_sum, 1, NULL, &ST);
/* Classical modified interpolation */
hypre_BoomerAMGBuildInterp(AT, CF_marker, ST, num_cpts_global,1, NULL,debug_flag,
trunc_factor, max_elmts, &R_ptr);
}
/* set pointer to P */
*R = R_ptr;
/* Free memory */
if (restrict_type > 0)
{
hypre_ParCSRMatrixDestroy(AT);
}
if (restrict_type > 5)
{
hypre_ParCSRMatrixDestroy(ST);
}
return hypre_error_flag;
}
void hypre_blas_smat_inv_n4 (HYPRE_Real *a)
{
const HYPRE_Real a11 = a[0], a12 = a[1], a13 = a[2], a14 = a[3];
const HYPRE_Real a21 = a[4], a22 = a[5], a23 = a[6], a24 = a[7];
const HYPRE_Real a31 = a[8], a32 = a[9], a33 = a[10], a34 = a[11];
const HYPRE_Real a41 = a[12], a42 = a[13], a43 = a[14], a44 = a[15];
const HYPRE_Real M11 = a22*a33*a44 + a23*a34*a42 + a24*a32*a43 - a22*a34*a43 - a23*a32*a44 - a24*a33*a42;
const HYPRE_Real M12 = a12*a34*a43 + a13*a32*a44 + a14*a33*a42 - a12*a33*a44 - a13*a34*a42 - a14*a32*a43;
const HYPRE_Real M13 = a12*a23*a44 + a13*a24*a42 + a14*a22*a43 - a12*a24*a43 - a13*a22*a44 - a14*a23*a42;
const HYPRE_Real M14 = a12*a24*a33 + a13*a22*a34 + a14*a23*a32 - a12*a23*a34 - a13*a24*a32 - a14*a22*a33;
const HYPRE_Real M21 = a21*a34*a43 + a23*a31*a44 + a24*a33*a41 - a21*a33*a44 - a23*a34*a41 - a24*a31*a43;
const HYPRE_Real M22 = a11*a33*a44 + a13*a34*a41 + a14*a31*a43 - a11*a34*a43 - a13*a31*a44 - a14*a33*a41;
const HYPRE_Real M23 = a11*a24*a43 + a13*a21*a44 + a14*a23*a41 - a11*a23*a44 - a13*a24*a41 - a14*a21*a43;
const HYPRE_Real M24 = a11*a23*a34 + a13*a24*a31 + a14*a21*a33 - a11*a24*a33 - a13*a21*a34 - a14*a23*a31;
const HYPRE_Real M31 = a21*a32*a44 + a22*a34*a41 + a24*a31*a42 - a21*a34*a42 - a22*a31*a44 - a24*a32*a41;
const HYPRE_Real M32 = a11*a34*a42 + a12*a31*a44 + a14*a32*a41 - a11*a32*a44 - a12*a34*a41 - a14*a31*a42;
const HYPRE_Real M33 = a11*a22*a44 + a12*a24*a41 + a14*a21*a42 - a11*a24*a42 - a12*a21*a44 - a14*a22*a41;
const HYPRE_Real M34 = a11*a24*a32 + a12*a21*a34 + a14*a22*a31 - a11*a22*a34 - a12*a24*a31 - a14*a21*a32;
const HYPRE_Real M41 = a21*a33*a42 + a22*a31*a43 + a23*a32*a41 - a21*a32*a43 - a22*a33*a41 - a23*a31*a42;
const HYPRE_Real M42 = a11*a32*a43 + a12*a33*a41 + a13*a31*a42 - a11*a33*a42 - a12*a31*a43 - a13*a32*a41;
const HYPRE_Real M43 = a11*a23*a42 + a12*a21*a43 + a13*a22*a41 - a11*a22*a43 - a12*a23*a41 - a13*a21*a42;
const HYPRE_Real M44 = a11*a22*a33 + a12*a23*a31 + a13*a21*a32 - a11*a23*a32 - a12*a21*a33 - a13*a22*a31;
const HYPRE_Real det = a11*M11 + a12*M21 + a13*M31 + a14*M41;
HYPRE_Real det_inv;
//if ( fabs(det) < 1e-22 ) {
//hypre_printf("### WARNING: Matrix is nearly singular! det = %e\n", det);
/*
printf("##----------------------------------------------\n");
printf("## %12.5e %12.5e %12.5e \n", a0, a1, a2);
printf("## %12.5e %12.5e %12.5e \n", a3, a4, a5);
printf("## %12.5e %12.5e %12.5e \n", a5, a6, a7);
printf("##----------------------------------------------\n");
getchar();
*/
//}
det_inv = 1.0/det;
a[0] = M11*det_inv; a[1] = M12*det_inv; a[2] = M13*det_inv; a[3] = M14*det_inv;
a[4] = M21*det_inv; a[5] = M22*det_inv; a[6] = M23*det_inv; a[7] = M24*det_inv;
a[8] = M31*det_inv; a[9] = M32*det_inv; a[10] = M33*det_inv; a[11] = M34*det_inv;
a[12] = M41*det_inv; a[13] = M42*det_inv; a[14] = M43*det_inv; a[15] = M44*det_inv;
}
void hypre_blas_mat_inv(HYPRE_Real *a,
HYPRE_Int n)
{
HYPRE_Int i,j,k,l,u,kn,in;
HYPRE_Real alinv;
if (n == 4)
{
hypre_blas_smat_inv_n4(a);
}
else
{
for (k=0; k<n; ++k) {
kn = k*n;
l = kn+k;
//if (fabs(a[l]) < SMALLREAL) {
// printf("### WARNING: Diagonal entry is close to zero!");
// printf("### WARNING: diag_%d=%e\n", k, a[l]);
// a[l] = SMALLREAL;
//}
alinv = 1.0/a[l];
a[l] = alinv;
for (j=0; j<k; ++j) {
u = kn+j; a[u] *= alinv;
}
for (j=k+1; j<n; ++j) {
u = kn+j; a[u] *= alinv;
}
for (i=0; i<k; ++i) {
in = i*n;
for (j=0; j<n; ++j)
if (j!=k) {
u = in+j; a[u] -= a[in+k]*a[kn+j];
} // end if (j!=k)
}
for (i=k+1; i<n; ++i) {
in = i*n;
for (j=0; j<n; ++j)
if (j!=k) {
u = in+j; a[u] -= a[in+k]*a[kn+j];
} // end if (j!=k)
}
for (i=0; i<k; ++i) {
u=i*n+k; a[u] *= -alinv;
}
for (i=k+1; i<n; ++i) {
u=i*n+k; a[u] *= -alinv;
}
} // end for (k=0; k<n; ++k)
}// end if
}
HYPRE_Int hypre_block_jacobi_scaling(hypre_ParCSRMatrix *A, hypre_ParCSRMatrix **B_ptr,
void *mgr_vdata, HYPRE_Int debug_flag)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int num_procs, my_id;
HYPRE_Int blk_size = (mgr_data -> block_size);
HYPRE_Int reserved_coarse_size = (mgr_data -> reserved_coarse_size);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_ParCSRMatrix *B;
hypre_CSRMatrix *B_diag;
HYPRE_Real *B_diag_data;
HYPRE_Int *B_diag_i;
HYPRE_Int *B_diag_j;
hypre_CSRMatrix *B_offd;
HYPRE_Int i,ii;
HYPRE_Int j,jj;
HYPRE_Int k;
HYPRE_Int n = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int n_block, left_size,inv_size;
// HYPRE_Real wall_time; /* for debugging instrumentation */
HYPRE_Int bidx,bidxm1,bidxp1;
HYPRE_Real * diaginv;
const HYPRE_Int nb2 = blk_size*blk_size;
HYPRE_Int block_scaling_error = 0;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
// HYPRE_Int num_threads = hypre_NumThreads();
//printf("n = %d\n",n);
if (my_id == num_procs)
{
n_block = (n - reserved_coarse_size) / blk_size;
left_size = n - blk_size*n_block;
}
else
{
n_block = n / blk_size;
left_size = n - blk_size*n_block;
}
inv_size = nb2*n_block + left_size*left_size;
//printf("inv_size = %d\n",inv_size);
hypre_blockRelax_setup(A,blk_size,reserved_coarse_size,&(mgr_data -> diaginv));
// if (debug_flag==4) wall_time = time_getWallclockSeconds();
/*-----------------------------------------------------------------------
* First Pass: Determine size of B and fill in
*-----------------------------------------------------------------------*/
B_diag_i = hypre_CTAlloc(HYPRE_Int, n+1, HYPRE_MEMORY_HOST);
B_diag_j = hypre_CTAlloc(HYPRE_Int, inv_size, HYPRE_MEMORY_HOST);
B_diag_data = hypre_CTAlloc(HYPRE_Real, inv_size, HYPRE_MEMORY_HOST);
B_diag_i[n] = inv_size;
//B_offd_i = hypre_CTAlloc(HYPRE_Int, n+1, HYPRE_MEMORY_HOST);
//B_offd_j = hypre_CTAlloc(HYPRE_Int, 1, HYPRE_MEMORY_HOST);
//B_offd_data = hypre_CTAlloc(HYPRE_Real, 1, HYPRE_MEMORY_HOST);
//B_offd_i[n] = 1;
/*-----------------------------------------------------------------
* Get all the diagonal sub-blocks
*-----------------------------------------------------------------*/
diaginv = hypre_CTAlloc(HYPRE_Real, nb2, HYPRE_MEMORY_HOST);
//printf("n_block = %d\n",n_block);
for (i = 0;i < n_block; i++)
{
bidxm1 = i*blk_size;
bidxp1 = (i+1)*blk_size;
for (k = 0;k < blk_size; k++)
{
for (j = 0;j < blk_size; j++)
{
bidx = k*blk_size + j;
diaginv[bidx] = 0.0;
}
for (ii = A_diag_i[bidxm1+k]; ii < A_diag_i[bidxm1+k+1]; ii++)
{
jj = A_diag_j[ii];
if (jj >= bidxm1 && jj < bidxp1 && fabs(A_diag_data[ii]) > SMALLREAL)
{
bidx = k*blk_size + jj - bidxm1;
//printf("jj = %d,val = %e, bidx = %d\n",jj,A_diag_data[ii],bidx);
diaginv[bidx] = A_diag_data[ii];
}
}
}
/* for (k = 0;k < blk_size; k++) */
/* { */
/* for (j = 0;j < blk_size; j++) */
/* { */
/* bidx = k*blk_size + j; */
/* printf("diaginv[%d] = %e\n",bidx,diaginv[bidx]); */
/* } */
/* } */
hypre_blas_mat_inv(diaginv, blk_size);
for (k = 0;k < blk_size; k++)
{
B_diag_i[i*blk_size+k] = i*nb2 + k*blk_size;
//B_offd_i[i*nb2+k] = 0;
for (j = 0;j < blk_size; j++)
{
bidx = i*nb2 + k*blk_size + j;
B_diag_j[bidx] = i*blk_size + j;
B_diag_data[bidx] = diaginv[k*blk_size + j];
}
}
}
//printf("Before create\n");
B = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
hypre_ParCSRMatrixGlobalNumCols(A),
hypre_ParCSRMatrixRowStarts(A),
hypre_ParCSRMatrixColStarts(A),
0,
inv_size,
0);
//printf("After create\n");
B_diag = hypre_ParCSRMatrixDiag(B);
hypre_CSRMatrixData(B_diag) = B_diag_data;
hypre_CSRMatrixI(B_diag) = B_diag_i;
hypre_CSRMatrixJ(B_diag) = B_diag_j;
B_offd = hypre_ParCSRMatrixOffd(B);
hypre_CSRMatrixData(B_offd) = NULL;
hypre_CSRMatrixI(B_offd) = NULL;
hypre_CSRMatrixJ(B_offd) = NULL;
*B_ptr = B;
return(block_scaling_error);
}
HYPRE_Int hypre_blockRelax_solve (hypre_ParCSRMatrix *A,
hypre_ParVector *f,
hypre_ParVector *u,
HYPRE_Real blk_size,
HYPRE_Int n_block,
HYPRE_Int left_size,
HYPRE_Int method,
HYPRE_Real *diaginv,
hypre_ParVector *Vtemp)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
HYPRE_Int n = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols(A_offd);
hypre_Vector *u_local = hypre_ParVectorLocalVector(u);
HYPRE_Real *u_data = hypre_VectorData(u_local);
hypre_Vector *f_local = hypre_ParVectorLocalVector(f);
HYPRE_Real *f_data = hypre_VectorData(f_local);
hypre_Vector *Vtemp_local = hypre_ParVectorLocalVector(Vtemp);
HYPRE_Real *Vtemp_data = hypre_VectorData(Vtemp_local);
HYPRE_Real *Vext_data = NULL;
HYPRE_Real *v_buf_data;
HYPRE_Int i, j, k;
HYPRE_Int ii, jj;
HYPRE_Int bidx,bidx1;
HYPRE_Int relax_error = 0;
HYPRE_Int num_sends;
HYPRE_Int index, start;
HYPRE_Int num_procs, my_id;
HYPRE_Real *res;
const HYPRE_Int nb2 = blk_size*blk_size;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
// HYPRE_Int num_threads = hypre_NumThreads();
res = hypre_CTAlloc(HYPRE_Real, blk_size, HYPRE_MEMORY_HOST);
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
if (num_procs > 1)
{
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
v_buf_data = hypre_CTAlloc(HYPRE_Real,
hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends), HYPRE_MEMORY_HOST);
Vext_data = hypre_CTAlloc(HYPRE_Real, num_cols_offd, HYPRE_MEMORY_HOST);
if (num_cols_offd)
{
A_offd_j = hypre_CSRMatrixJ(A_offd);
A_offd_data = hypre_CSRMatrixData(A_offd);
}
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++)
v_buf_data[index++]
= u_data[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 1, comm_pkg, v_buf_data,
Vext_data);
}
/*-----------------------------------------------------------------
* Copy current approximation into temporary vector.
*-----------------------------------------------------------------*/
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n; i++)
{
Vtemp_data[i] = u_data[i];
//printf("u_old[%d] = %e\n",i,Vtemp_data[i]);
}
if (num_procs > 1)
{
hypre_ParCSRCommHandleDestroy(comm_handle);
comm_handle = NULL;
}
/*-----------------------------------------------------------------
* Relax points block by block
*-----------------------------------------------------------------*/
for (i = 0;i < n_block; i++)
{
for (j = 0;j < blk_size; j++)
{
bidx = i*blk_size +j;
res[j] = f_data[bidx];
for (jj = A_diag_i[bidx]; jj < A_diag_i[bidx+1]; jj++)
{
ii = A_diag_j[jj];
if (method == 0)
{
// Jacobi for diagonal part
res[j] -= A_diag_data[jj] * Vtemp_data[ii];
}
else if (method == 1)
{
// Gauss-Seidel for diagonal part
res[j] -= A_diag_data[jj] * u_data[ii];
}
else
{
// Default do Jacobi for diagonal part
res[j] -= A_diag_data[jj] * Vtemp_data[ii];
}
//printf("%d: Au= %e * %e =%e\n",ii,A_diag_data[jj],Vtemp_data[ii], res[j]);
}
for (jj = A_offd_i[bidx]; jj < A_offd_i[bidx+1]; jj++)
{
// always do Jacobi for off-diagonal part
ii = A_offd_j[jj];
res[j] -= A_offd_data[jj] * Vext_data[ii];
}
//printf("%d: res = %e\n",bidx,res[j]);
}
for (j = 0;j < blk_size; j++)
{
bidx1 = i*blk_size +j;
for (k = 0;k < blk_size; k++)
{
bidx = i*nb2 +j*blk_size+k;
u_data[bidx1] += res[k]*diaginv[bidx];
//printf("u[%d] = %e, diaginv[%d] = %e\n",bidx1,u_data[bidx1],bidx,diaginv[bidx]);
}
//printf("u[%d] = %e\n",bidx1,u_data[bidx1]);
}
}
if (num_procs > 1)
{
hypre_TFree(Vext_data, HYPRE_MEMORY_HOST);
hypre_TFree(v_buf_data, HYPRE_MEMORY_HOST);
}
hypre_TFree(res, HYPRE_MEMORY_HOST);
return(relax_error);
}
HYPRE_Int hypre_block_gs (hypre_ParCSRMatrix *A,
hypre_ParVector *f,
hypre_ParVector *u,
HYPRE_Real blk_size,
HYPRE_Int n_block,
HYPRE_Int left_size,
HYPRE_Real *diaginv,
hypre_ParVector *Vtemp)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
HYPRE_Int n = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols(A_offd);
hypre_Vector *u_local = hypre_ParVectorLocalVector(u);
HYPRE_Real *u_data = hypre_VectorData(u_local);
hypre_Vector *f_local = hypre_ParVectorLocalVector(f);
HYPRE_Real *f_data = hypre_VectorData(f_local);
hypre_Vector *Vtemp_local = hypre_ParVectorLocalVector(Vtemp);
HYPRE_Real *Vtemp_data = hypre_VectorData(Vtemp_local);
HYPRE_Real *Vext_data = NULL;
HYPRE_Real *v_buf_data;
HYPRE_Int i, j, k;
HYPRE_Int ii, jj;
HYPRE_Int bidx,bidx1;
HYPRE_Int relax_error = 0;
HYPRE_Int num_sends;
HYPRE_Int index, start;
HYPRE_Int num_procs, my_id;
HYPRE_Real *res;
const HYPRE_Int nb2 = blk_size*blk_size;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
//HYPRE_Int num_threads = hypre_NumThreads();
res = hypre_CTAlloc(HYPRE_Real, blk_size, HYPRE_MEMORY_HOST);
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
if (num_procs > 1)
{
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
v_buf_data = hypre_CTAlloc(HYPRE_Real,
hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends), HYPRE_MEMORY_HOST);
Vext_data = hypre_CTAlloc(HYPRE_Real, num_cols_offd, HYPRE_MEMORY_HOST);
if (num_cols_offd)
{
A_offd_j = hypre_CSRMatrixJ(A_offd);
A_offd_data = hypre_CSRMatrixData(A_offd);
}
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++)
v_buf_data[index++]
= u_data[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 1, comm_pkg, v_buf_data,
Vext_data);
}
/*-----------------------------------------------------------------
* Copy current approximation into temporary vector.
*-----------------------------------------------------------------*/
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n; i++)
{
Vtemp_data[i] = u_data[i];
//printf("u_old[%d] = %e\n",i,Vtemp_data[i]);
}
if (num_procs > 1)
{
hypre_ParCSRCommHandleDestroy(comm_handle);
comm_handle = NULL;
}
/*-----------------------------------------------------------------
* Relax points block by block
*-----------------------------------------------------------------*/
for (i = 0;i < n_block; i++)
{
for (j = 0;j < blk_size; j++)
{
bidx = i*blk_size +j;
res[j] = f_data[bidx];
for (jj = A_diag_i[bidx]; jj < A_diag_i[bidx+1]; jj++)
{
ii = A_diag_j[jj];
//res[j] -= A_diag_data[jj] * Vtemp_data[ii];
//printf("my_id = %d, %d: Au = %e * %e\n",my_id,ii,A_diag_data[jj],Vtemp_data[ii]);
res[j] -= A_diag_data[jj] * u_data[ii];
//printf("%d: Au= %e * %e =%e\n",ii,A_diag_data[jj],Vtemp_data[ii], res[j]);
}
for (jj = A_offd_i[bidx]; jj < A_offd_i[bidx+1]; jj++)
{
ii = A_offd_j[jj];
res[j] -= A_offd_data[jj] * Vext_data[ii];
}
//printf("%d: res = %e\n",bidx,res[j]);
}
for (j = 0;j < blk_size; j++)
{
bidx1 = i*blk_size +j;
for (k = 0;k < blk_size; k++)
{
bidx = i*nb2 +j*blk_size+k;
u_data[bidx1] += res[k]*diaginv[bidx];
//printf("u[%d] = %e, diaginv[%d] = %e\n",bidx1,u_data[bidx1],bidx,diaginv[bidx]);
}
//printf("u[%d] = %e\n",bidx1,u_data[bidx1]);
}
}
if (num_procs > 1)
{
hypre_TFree(Vext_data, HYPRE_MEMORY_HOST);
hypre_TFree(v_buf_data, HYPRE_MEMORY_HOST);
}
hypre_TFree(res, HYPRE_MEMORY_HOST);
return(relax_error);
}
/*Block smoother*/
HYPRE_Int
hypre_blockRelax_setup(hypre_ParCSRMatrix *A,
HYPRE_Int blk_size,
HYPRE_Int reserved_coarse_size,
HYPRE_Real **diaginvptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
HYPRE_Int n = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int i, j,k;
HYPRE_Int ii, jj;
HYPRE_Int bidx,bidxm1,bidxp1;
HYPRE_Int num_procs, my_id;
const HYPRE_Int nb2 = blk_size*blk_size;
HYPRE_Int n_block;
HYPRE_Int left_size,inv_size;
HYPRE_Real *diaginv = *diaginvptr;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
//HYPRE_Int num_threads = hypre_NumThreads();
if (my_id == num_procs)
{
n_block = (n - reserved_coarse_size) / blk_size;
left_size = n - blk_size*n_block;
}
else
{
n_block = n / blk_size;
left_size = n - blk_size*n_block;
}
inv_size = nb2*n_block + left_size*left_size;
if (diaginv !=NULL)
{
hypre_TFree(diaginv, HYPRE_MEMORY_HOST);
diaginv = hypre_CTAlloc(HYPRE_Real, inv_size, HYPRE_MEMORY_HOST);
}
else {
diaginv = hypre_CTAlloc(HYPRE_Real, inv_size, HYPRE_MEMORY_HOST);
}
/*-----------------------------------------------------------------
* Get all the diagonal sub-blocks
*-----------------------------------------------------------------*/
for (i = 0;i < n_block; i++)
{
bidxm1 = i*blk_size;
bidxp1 = (i+1)*blk_size;
//printf("bidxm1 = %d,bidxp1 = %d\n",bidxm1,bidxp1);
for (k = 0;k < blk_size; k++)
{
for (j = 0;j < blk_size; j++)
{
bidx = i*nb2 + k*blk_size + j;
diaginv[bidx] = 0.0;
}
for (ii = A_diag_i[bidxm1+k]; ii < A_diag_i[bidxm1+k+1]; ii++)
{
jj = A_diag_j[ii];
if (jj >= bidxm1 && jj < bidxp1 && fabs(A_diag_data[ii]) > SMALLREAL)
{
bidx = i*nb2 + k*blk_size + jj - bidxm1;
//printf("jj = %d,val = %e, bidx = %d\n",jj,A_diag_data[ii],bidx);
diaginv[bidx] = A_diag_data[ii];
}
}
}
}
for (i = 0;i < left_size; i++)
{
bidxm1 =n_block*nb2 + i*blk_size;
bidxp1 =n_block*nb2 + (i+1)*blk_size;
for (j = 0;j < left_size; j++)
{
bidx = n_block*nb2 + i*blk_size +j;
diaginv[bidx] = 0.0;
}
for (ii = A_diag_i[n_block*blk_size + i]; ii < A_diag_i[n_block*blk_size+i+1]; ii++)
{
jj = A_diag_j[ii];
if (jj > n_block*blk_size)
{
bidx = n_block*nb2 + i*blk_size + jj - n_block*blk_size;
diaginv[bidx] = A_diag_data[ii];
}
}
}
/*-----------------------------------------------------------------
* compute the inverses of all the diagonal sub-blocks
*-----------------------------------------------------------------*/
if (blk_size > 1)
{
for (i = 0;i < n_block; i++)
{
hypre_blas_mat_inv(diaginv+i*nb2, blk_size);
}
hypre_blas_mat_inv(diaginv+(HYPRE_Int)(blk_size*nb2),left_size);
}
else
{
for (i = 0;i < n; i++)
{
// FIX-ME: zero-diagonal should be tested previously
if (fabs(diaginv[i]) < SMALLREAL)
diaginv[i] = 0.0;
else
diaginv[i] = 1.0 / diaginv[i];
}
}
*diaginvptr = diaginv;
return 1;
}
HYPRE_Int
hypre_blockRelax(hypre_ParCSRMatrix *A,
hypre_ParVector *f,
hypre_ParVector *u,
HYPRE_Int blk_size,
HYPRE_Int reserved_coarse_size,
HYPRE_Int method,
hypre_ParVector *Vtemp,
hypre_ParVector *Ztemp)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
HYPRE_Int n = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int i, j,k;
HYPRE_Int ii, jj;
HYPRE_Int bidx,bidxm1,bidxp1;
HYPRE_Int relax_error = 0;
HYPRE_Int num_procs, my_id;
const HYPRE_Int nb2 = blk_size*blk_size;
HYPRE_Int n_block;
HYPRE_Int left_size,inv_size;
HYPRE_Real *diaginv;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
//HYPRE_Int num_threads = hypre_NumThreads();
if (my_id == num_procs)
{
n_block = (n - reserved_coarse_size) / blk_size;
left_size = n - blk_size*n_block;
}
else
{
n_block = n / blk_size;
left_size = n - blk_size*n_block;
}
inv_size = nb2*n_block + left_size*left_size;
diaginv = hypre_CTAlloc(HYPRE_Real, inv_size, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------
* Get all the diagonal sub-blocks
*-----------------------------------------------------------------*/
for (i = 0;i < n_block; i++)
{
bidxm1 = i*blk_size;
bidxp1 = (i+1)*blk_size;
//printf("bidxm1 = %d,bidxp1 = %d\n",bidxm1,bidxp1);
for (k = 0;k < blk_size; k++)
{
for (j = 0;j < blk_size; j++)
{
bidx = i*nb2 + k*blk_size + j;
diaginv[bidx] = 0.0;
}
for (ii = A_diag_i[bidxm1+k]; ii < A_diag_i[bidxm1+k+1]; ii++)
{
jj = A_diag_j[ii];
if (jj >= bidxm1 && jj < bidxp1 && fabs(A_diag_data[ii]) > SMALLREAL)
{
bidx = i*nb2 + k*blk_size + jj - bidxm1;
//printf("jj = %d,val = %e, bidx = %d\n",jj,A_diag_data[ii],bidx);
diaginv[bidx] = A_diag_data[ii];
}
}
}
}
for (i = 0;i < left_size; i++)
{
bidxm1 =n_block*nb2 + i*blk_size;
bidxp1 =n_block*nb2 + (i+1)*blk_size;
for (j = 0;j < left_size; j++)
{
bidx = n_block*nb2 + i*blk_size +j;
diaginv[bidx] = 0.0;
}
for (ii = A_diag_i[n_block*blk_size + i]; ii < A_diag_i[n_block*blk_size+i+1]; ii++)
{
jj = A_diag_j[ii];
if (jj > n_block*blk_size)
{
bidx = n_block*nb2 + i*blk_size + jj - n_block*blk_size;
diaginv[bidx] = A_diag_data[ii];
}
}
}
/*
for (i = 0;i < n_block; i++)
{
for (j = 0;j < blk_size; j++)
{
for (k = 0;k < blk_size; k ++)
{
bidx = i*nb2 + j*blk_size + k;
printf("%e\t",diaginv[bidx]);
}
printf("\n");
}
printf("\n");
}
*/
/*-----------------------------------------------------------------
* compute the inverses of all the diagonal sub-blocks
*-----------------------------------------------------------------*/
if (blk_size > 1)
{
for (i = 0;i < n_block; i++)
{
hypre_blas_mat_inv(diaginv+i*nb2, blk_size);
}
hypre_blas_mat_inv(diaginv+(HYPRE_Int)(blk_size*nb2),left_size);
/*
for (i = 0;i < n_block; i++)
{
for (j = 0;j < blk_size; j++)
{
for (k = 0;k < blk_size; k ++)
{
bidx = i*nb2 + j*blk_size + k;
printf("%e\t",diaginv[bidx]);
}
printf("\n");
}
printf("\n");
}
*/
}
else
{
for (i = 0;i < n; i++)
{
// FIX-ME: zero-diagonal should be tested previously
if (fabs(diaginv[i]) < SMALLREAL)
diaginv[i] = 0.0;
else
diaginv[i] = 1.0 / diaginv[i];
}
}
hypre_blockRelax_solve(A,f,u,blk_size,n_block,left_size,method,diaginv,Vtemp);
/*-----------------------------------------------------------------
* Free temperary memeory
*-----------------------------------------------------------------*/
hypre_TFree(diaginv, HYPRE_MEMORY_HOST);
return(relax_error);
}
/* set coarse grid solver */
HYPRE_Int
hypre_MGRSetFSolver( void *mgr_vdata,
HYPRE_Int (*fine_grid_solver_solve)(void*,void*,void*,void*),
HYPRE_Int (*fine_grid_solver_setup)(void*,void*,void*,void*),
void *fsolver )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
HYPRE_Solver **aff_solver = (mgr_data -> aff_solver);
if (aff_solver == NULL)
aff_solver = hypre_CTAlloc(HYPRE_Solver*, max_num_coarse_levels, HYPRE_MEMORY_HOST);
/* only allow to set F-solver for the first level */
aff_solver[0] = (HYPRE_Solver *) fsolver;
(mgr_data -> fine_grid_solver_solve) = fine_grid_solver_solve;
(mgr_data -> fine_grid_solver_setup) = fine_grid_solver_setup;
(mgr_data -> aff_solver) = aff_solver;
(mgr_data -> use_default_fsolver) = 0;
return hypre_error_flag;
}
/* set coarse grid solver */
HYPRE_Int
hypre_MGRSetCoarseSolver( void *mgr_vdata,
HYPRE_Int (*coarse_grid_solver_solve)(void*,void*,void*,void*),
HYPRE_Int (*coarse_grid_solver_setup)(void*,void*,void*,void*),
void *coarse_grid_solver )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
(mgr_data -> coarse_grid_solver_solve) = coarse_grid_solver_solve;
(mgr_data -> coarse_grid_solver_setup) = coarse_grid_solver_setup;
(mgr_data -> coarse_grid_solver) = (HYPRE_Solver) coarse_grid_solver;
(mgr_data -> use_default_cgrid_solver) = 0;
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRSetAffInv( void *mgr_vdata,
hypre_ParCSRMatrix *A_ff_inv )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> A_ff_inv) = A_ff_inv;
return hypre_error_flag;
}
/* Set the maximum number of coarse levels.
* maxcoarselevs = 1 yields the default 2-grid scheme.
*/
HYPRE_Int
hypre_MGRSetMaxCoarseLevels( void *mgr_vdata, HYPRE_Int maxcoarselevs )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> max_num_coarse_levels) = maxcoarselevs;
return hypre_error_flag;
}
/* Set the system block size */
HYPRE_Int
hypre_MGRSetBlockSize( void *mgr_vdata, HYPRE_Int bsize )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> block_size) = bsize;
return hypre_error_flag;
}
/* Set the relaxation type for the fine levels of the reduction.
* Currently supports the following flavors of relaxation types
* as described in the documentation:
* relax_types 0 - 8, 13, 14, 18, 19, 98.
* See par_relax.c and par_relax_more.c for more details.
*
*/
HYPRE_Int
hypre_MGRSetRelaxType( void *mgr_vdata, HYPRE_Int relax_type )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> relax_type) = relax_type;
return hypre_error_flag;
}
/* Set the number of relaxation sweeps */
HYPRE_Int
hypre_MGRSetNumRelaxSweeps( void *mgr_vdata, HYPRE_Int nsweeps )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> num_relax_sweeps) = nsweeps;
return hypre_error_flag;
}
/* Set the F-relaxation strategy: 0=single level, 1=multi level */
HYPRE_Int
hypre_MGRSetFRelaxMethod( void *mgr_vdata, HYPRE_Int relax_method )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if((mgr_data -> Frelax_method) != NULL) {
hypre_TFree(mgr_data -> Frelax_method, HYPRE_MEMORY_HOST);
(mgr_data -> Frelax_method) = NULL;
}
HYPRE_Int *Frelax_method = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
for (i=0; i < max_num_coarse_levels; i++)
{
Frelax_method[i] = relax_method;
}
(mgr_data -> Frelax_method) = Frelax_method;
return hypre_error_flag;
}
/* Set the F-relaxation strategy: 0=single level, 1=multi level */
HYPRE_Int
hypre_MGRSetLevelFRelaxMethod( void *mgr_vdata, HYPRE_Int *relax_method )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if((mgr_data -> Frelax_method) != NULL) {
hypre_TFree(mgr_data -> Frelax_method, HYPRE_MEMORY_HOST);
(mgr_data -> Frelax_method) = NULL;
}
HYPRE_Int *Frelax_method = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
if (relax_method != NULL)
{
for (i=0; i < max_num_coarse_levels; i++)
{
Frelax_method[i] = relax_method[i];
}
}
else
{
for (i = 0; i < max_num_coarse_levels; i++)
{
Frelax_method[i] = 0;
}
}
(mgr_data -> Frelax_method) = Frelax_method;
return hypre_error_flag;
}
/* Coarse grid method: 0=Galerkin RAP, 1=non-Galerkin with dropping*/
HYPRE_Int
hypre_MGRSetCoarseGridMethod( void *mgr_vdata, HYPRE_Int *cg_method )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if((mgr_data -> use_non_galerkin_cg) != NULL) {
hypre_TFree(mgr_data -> use_non_galerkin_cg, HYPRE_MEMORY_HOST);
(mgr_data -> use_non_galerkin_cg) = NULL;
}
HYPRE_Int *use_non_galerkin_cg = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
if (cg_method != NULL)
{
for (i=0; i < max_num_coarse_levels; i++)
{
use_non_galerkin_cg[i] = cg_method[i];
}
}
else
{
for (i = 0; i < max_num_coarse_levels; i++)
{
use_non_galerkin_cg[i] = 0;
}
}
(mgr_data -> use_non_galerkin_cg) = use_non_galerkin_cg;
return hypre_error_flag;
}
/* Set the F-relaxation number of functions for each level */
HYPRE_Int
hypre_MGRSetLevelFRelaxNumFunctions( void *mgr_vdata, HYPRE_Int *num_functions )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if((mgr_data -> Frelax_num_functions) != NULL) {
hypre_TFree(mgr_data -> Frelax_num_functions, HYPRE_MEMORY_HOST);
(mgr_data -> Frelax_num_functions) = NULL;
}
HYPRE_Int *Frelax_num_functions = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
if (num_functions != NULL)
{
for (i=0; i < max_num_coarse_levels; i++)
{
Frelax_num_functions[i] = num_functions[i];
}
}
else
{
for (i = 0; i < max_num_coarse_levels; i++)
{
Frelax_num_functions[i] = 1;
}
}
(mgr_data -> Frelax_num_functions) = Frelax_num_functions;
return hypre_error_flag;
}
/* Set the type of the restriction type
* for computing restriction operator
*/
HYPRE_Int
hypre_MGRSetLevelRestrictType( void *mgr_vdata, HYPRE_Int *restrict_type)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if ((mgr_data -> restrict_type) != NULL)
{
hypre_TFree((mgr_data -> restrict_type), HYPRE_MEMORY_HOST);
(mgr_data -> restrict_type) = NULL;
}
HYPRE_Int *level_restrict_type = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
if (restrict_type != NULL)
{
for (i=0; i < max_num_coarse_levels; i++)
{
level_restrict_type[i] = *(restrict_type + i);
}
}
else
{
for (i=0; i < max_num_coarse_levels; i++)
{
level_restrict_type[i] = 0;
}
}
(mgr_data -> restrict_type) = level_restrict_type;
return hypre_error_flag;
}
/* Set the type of the restriction type
* for computing restriction operator
*/
HYPRE_Int
hypre_MGRSetRestrictType( void *mgr_vdata, HYPRE_Int restrict_type)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if ((mgr_data -> restrict_type) != NULL)
{
hypre_TFree((mgr_data -> restrict_type), HYPRE_MEMORY_HOST);
(mgr_data -> restrict_type) = NULL;
}
HYPRE_Int *level_restrict_type = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
for (i=0; i < max_num_coarse_levels; i++)
{
level_restrict_type[i] = restrict_type;
}
(mgr_data -> restrict_type) = level_restrict_type;
return hypre_error_flag;
}
/* Set the number of Jacobi interpolation iterations
* for computing interpolation operator
*/
HYPRE_Int
hypre_MGRSetNumRestrictSweeps( void *mgr_vdata, HYPRE_Int nsweeps )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> num_restrict_sweeps) = nsweeps;
return hypre_error_flag;
}
/* Set the type of the interpolation
* for computing interpolation operator
*/
HYPRE_Int
hypre_MGRSetInterpType( void *mgr_vdata, HYPRE_Int interpType)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if ((mgr_data -> interp_type) != NULL)
{
hypre_TFree((mgr_data -> interp_type), HYPRE_MEMORY_HOST);
(mgr_data -> interp_type) = NULL;
}
HYPRE_Int *level_interp_type = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
for (i=0; i < max_num_coarse_levels; i++)
{
level_interp_type[i] = interpType;
}
(mgr_data -> interp_type) = level_interp_type;
return hypre_error_flag;
}
/* Set the type of the interpolation
* for computing interpolation operator
*/
HYPRE_Int
hypre_MGRSetLevelInterpType( void *mgr_vdata, HYPRE_Int *interpType)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
if ((mgr_data -> interp_type) != NULL)
{
hypre_TFree((mgr_data -> interp_type), HYPRE_MEMORY_HOST);
(mgr_data -> interp_type) = NULL;
}
HYPRE_Int *level_interp_type = hypre_CTAlloc(HYPRE_Int, max_num_coarse_levels, HYPRE_MEMORY_HOST);
if (interpType != NULL)
{
for (i=0; i < max_num_coarse_levels; i++)
{
level_interp_type[i] = *(interpType + i);
}
}
else
{
for (i=0; i < max_num_coarse_levels; i++)
{
level_interp_type[i] = 2;
}
}
(mgr_data -> interp_type) = level_interp_type;
return hypre_error_flag;
}
/* Set the number of Jacobi interpolation iterations
* for computing interpolation operator
*/
HYPRE_Int
hypre_MGRSetNumInterpSweeps( void *mgr_vdata, HYPRE_Int nsweeps )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> num_interp_sweeps) = nsweeps;
return hypre_error_flag;
}
/* Set the threshold to truncate the coarse grid at each
* level of reduction
*/
HYPRE_Int
hypre_MGRSetTruncateCoarseGridThreshold( void *mgr_vdata, HYPRE_Real threshold)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> truncate_coarse_grid_threshold) = threshold;
return hypre_error_flag;
}
/* Set print level for F-relaxation solver */
HYPRE_Int
hypre_MGRSetFrelaxPrintLevel( void *mgr_vdata, HYPRE_Int print_level )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> frelax_print_level) = print_level;
return hypre_error_flag;
}
/* Set print level for coarse grid solver */
HYPRE_Int
hypre_MGRSetCoarseGridPrintLevel( void *mgr_vdata, HYPRE_Int print_level )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> cg_print_level) = print_level;
return hypre_error_flag;
}
/* Set print level for mgr solver */
HYPRE_Int
hypre_MGRSetPrintLevel( void *mgr_vdata, HYPRE_Int print_level )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> print_level) = print_level;
return hypre_error_flag;
}
/* Set logging level for mgr solver */
HYPRE_Int
hypre_MGRSetLogging( void *mgr_vdata, HYPRE_Int logging )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> logging) = logging;
return hypre_error_flag;
}
/* Set max number of iterations for mgr solver */
HYPRE_Int
hypre_MGRSetMaxIter( void *mgr_vdata, HYPRE_Int max_iter )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> max_iter) = max_iter;
return hypre_error_flag;
}
/* Set convergence tolerance for mgr solver */
HYPRE_Int
hypre_MGRSetTol( void *mgr_vdata, HYPRE_Real tol )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> tol) = tol;
return hypre_error_flag;
}
/* Set max number of iterations for mgr global smoother */
HYPRE_Int
hypre_MGRSetMaxGlobalsmoothIters( void *mgr_vdata, HYPRE_Int max_iter )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> global_smooth_iters) = max_iter;
return hypre_error_flag;
}
/* Set global smoothing type for mgr solver */
HYPRE_Int
hypre_MGRSetGlobalsmoothType( void *mgr_vdata, HYPRE_Int iter_type )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> global_smooth_type) = iter_type;
return hypre_error_flag;
}
/* Set the maximum number of non-zero entries for restriction
and interpolation operator if classical AMG interpolation is used */
HYPRE_Int
hypre_MGRSetPMaxElmts( void *mgr_vdata, HYPRE_Int P_max_elmts)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
(mgr_data -> P_max_elmts) = P_max_elmts;
return hypre_error_flag;
}
/* Get number of iterations for MGR solver */
HYPRE_Int
hypre_MGRGetNumIterations( void *mgr_vdata, HYPRE_Int *num_iterations )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
*num_iterations = mgr_data->num_iterations;
return hypre_error_flag;
}
/* Get residual norms for MGR solver */
HYPRE_Int
hypre_MGRGetFinalRelativeResidualNorm( void *mgr_vdata, HYPRE_Real *res_norm )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
*res_norm = mgr_data->final_rel_residual_norm;
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRGetCoarseGridConvergenceFactor( void *mgr_vdata , HYPRE_Real *conv_factor )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
*conv_factor = (mgr_data -> cg_convergence_factor);
return hypre_error_flag;
}
/* Build A_FF matrix from A given a CF_marker array */
HYPRE_Int
hypre_MGRGetSubBlock( hypre_ParCSRMatrix *A,
HYPRE_Int *row_cf_marker,
HYPRE_Int *col_cf_marker,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **A_block_ptr )
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
HYPRE_MemoryLocation memory_location = hypre_ParCSRMatrixMemoryLocation(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
//HYPRE_Int *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
hypre_IntArray *coarse_dof_func_ptr = NULL;
HYPRE_BigInt *num_row_cpts_global = NULL;
HYPRE_BigInt *num_col_cpts_global = NULL;
hypre_ParCSRMatrix *Ablock;
HYPRE_BigInt *col_map_offd_Ablock;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
hypre_CSRMatrix *Ablock_diag;
hypre_CSRMatrix *Ablock_offd;
HYPRE_Real *Ablock_diag_data;
HYPRE_Int *Ablock_diag_i;
HYPRE_Int *Ablock_diag_j;
HYPRE_Real *Ablock_offd_data;
HYPRE_Int *Ablock_offd_i;
HYPRE_Int *Ablock_offd_j;
HYPRE_Int Ablock_diag_size, Ablock_offd_size;
HYPRE_Int *Ablock_marker;
HYPRE_Int ii_counter;
HYPRE_Int jj_counter, jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int start_indexing = 0; /* start indexing for Aff_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *fine_to_coarse;
HYPRE_Int *coarse_counter;
HYPRE_Int *col_coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_row_cpts;
HYPRE_BigInt total_global_col_cpts;
HYPRE_Int num_cols_Ablock_offd;
// HYPRE_BigInt my_first_row_cpt, my_first_col_cpt;
HYPRE_Int i,i1;
HYPRE_Int j,jl,jj;
HYPRE_Int start;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int *int_buf_data;
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(A_diag);
hypre_IntArray *wrap_cf;
// HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
//num_threads = hypre_NumThreads();
// Temporary fix, disable threading
// TODO: enable threading
num_threads = 1;
/* get the number of coarse rows */
wrap_cf = hypre_IntArrayCreate(local_numrows);
hypre_IntArrayMemoryLocation(wrap_cf) = HYPRE_MEMORY_HOST;
hypre_IntArrayData(wrap_cf) = row_cf_marker;
hypre_BoomerAMGCoarseParms(comm, local_numrows, 1, NULL, wrap_cf, &coarse_dof_func_ptr, &num_row_cpts_global);
hypre_IntArrayDestroy(coarse_dof_func_ptr);
coarse_dof_func_ptr = NULL;
//hypre_printf("my_id = %d, cpts_this = %d, cpts_next = %d\n", my_id, num_row_cpts_global[0], num_row_cpts_global[1]);
// my_first_row_cpt = num_row_cpts_global[0];
if (my_id == (num_procs -1)) total_global_row_cpts = num_row_cpts_global[1];
hypre_MPI_Bcast(&total_global_row_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/* get the number of coarse rows */
hypre_IntArrayData(wrap_cf) = col_cf_marker;
hypre_BoomerAMGCoarseParms(comm, local_numrows, 1, NULL, wrap_cf, &coarse_dof_func_ptr, &num_col_cpts_global);
hypre_IntArrayDestroy(coarse_dof_func_ptr);
coarse_dof_func_ptr = NULL;
//hypre_printf("my_id = %d, cpts_this = %d, cpts_next = %d\n", my_id, num_col_cpts_global[0], num_col_cpts_global[1]);
// my_first_col_cpt = num_col_cpts_global[0];
if (my_id == (num_procs -1)) total_global_col_cpts = num_col_cpts_global[1];
hypre_MPI_Bcast(&total_global_col_cpts, 1, HYPRE_MPI_BIG_INT, num_procs-1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag < 0)
{
debug_flag = -debug_flag;
}
// if (debug_flag==4) wall_time = time_getWallclockSeconds();
if (num_cols_A_offd) CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
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), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= col_cf_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
/*-----------------------------------------------------------------------
* First Pass: Determine size of Ablock and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
col_coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] = -1;
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a F-point, we loop through the columns and select
* the F-columns. Also set up mapping vector.
*--------------------------------------------------------------------*/
if (col_cf_marker[i] > 0)
{
fine_to_coarse[i] = col_coarse_counter[j];
col_coarse_counter[j]++;
}
if (row_cf_marker[i] > 0)
{
//fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
if (col_cf_marker[i1] > 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
if (CF_marker_offd[i1] > 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i=0; i < num_threads-1; i++)
{
jj_count[i+1] += jj_count[i];
jj_count_offd[i+1] += jj_count_offd[i];
coarse_counter[i+1] += coarse_counter[i];
col_coarse_counter[i+1] += col_coarse_counter[i];
}
i = num_threads-1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
ii_counter = coarse_counter[i];
Ablock_diag_size = jj_counter;
Ablock_diag_i = hypre_CTAlloc(HYPRE_Int, ii_counter+1, memory_location);
Ablock_diag_j = hypre_CTAlloc(HYPRE_Int, Ablock_diag_size, memory_location);
Ablock_diag_data = hypre_CTAlloc(HYPRE_Real, Ablock_diag_size, memory_location);
Ablock_diag_i[ii_counter] = jj_counter;
Ablock_offd_size = jj_counter_offd;
Ablock_offd_i = hypre_CTAlloc(HYPRE_Int, ii_counter+1, memory_location);
Ablock_offd_j = hypre_CTAlloc(HYPRE_Int, Ablock_offd_size, memory_location);
Ablock_offd_data = hypre_CTAlloc(HYPRE_Real, Ablock_offd_size, memory_location);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
//-----------------------------------------------------------------------
// Send and receive fine_to_coarse info.
//-----------------------------------------------------------------------
// if (debug_flag==4) wall_time = time_getWallclockSeconds();
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) coarse_shift = col_coarse_counter[j-1];
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (j < rest)
{
ns = j*size+j;
ne = (j+1)*size+j+1;
}
else
{
ns = j*size+rest;
ne = (j+1)*size+rest;
}
for (i = ns; i < ne; i++)
fine_to_coarse[i] += coarse_shift;
}
// if (debug_flag==4) wall_time = time_getWallclockSeconds();
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
// for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_col_cpt;
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,jl,i1,jj,ns,ne,size,rest,jj_counter,jj_counter_offd,ii_counter) HYPRE_SMP_SCHEDULE
#endif
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine/num_threads;
rest = n_fine - size*num_threads;
if (jl < rest)
{
ns = jl*size+jl;
ne = (jl+1)*size+jl+1;
}
else
{
ns = jl*size+rest;
ne = (jl+1)*size+rest;
}
jj_counter = 0;
if (jl > 0) jj_counter = jj_count[jl-1];
jj_counter_offd = 0;
if (jl > 0) jj_counter_offd = jj_count_offd[jl-1];
ii_counter = 0;
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a F-point, we loop through the columns and select
* the F-columns. Also set up mapping vector.
*--------------------------------------------------------------------*/
if (row_cf_marker[i] > 0)
{
// Diagonal part of Ablock //
Ablock_diag_i[ii_counter] = jj_counter;
for (jj = A_diag_i[i]; jj < A_diag_i[i+1]; jj++)
{
i1 = A_diag_j[jj];
if (col_cf_marker[i1] > 0)
{
Ablock_diag_j[jj_counter] = fine_to_coarse[i1];
Ablock_diag_data[jj_counter] = A_diag_data[jj];
jj_counter++;
}
}
// Off-Diagonal part of Ablock //
Ablock_offd_i[ii_counter] = jj_counter_offd;
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i+1]; jj++)
{
i1 = A_offd_j[jj];
if (CF_marker_offd[i1] > 0)
{
Ablock_offd_j[jj_counter_offd] = i1;
Ablock_offd_data[jj_counter_offd] = A_offd_data[jj];
jj_counter_offd++;
}
}
}
ii_counter++;
}
}
Ablock_offd_i[ii_counter] = jj_counter_offd;
Ablock_diag_i[ii_counter] = jj_counter;
}
Ablock = hypre_ParCSRMatrixCreate(comm,
total_global_row_cpts,
total_global_col_cpts,
num_row_cpts_global,
num_col_cpts_global,
0,
Ablock_diag_i[ii_counter],
Ablock_offd_i[ii_counter]);
Ablock_diag = hypre_ParCSRMatrixDiag(Ablock);
hypre_CSRMatrixData(Ablock_diag) = Ablock_diag_data;
hypre_CSRMatrixI(Ablock_diag) = Ablock_diag_i;
hypre_CSRMatrixJ(Ablock_diag) = Ablock_diag_j;
Ablock_offd = hypre_ParCSRMatrixOffd(Ablock);
hypre_CSRMatrixData(Ablock_offd) = Ablock_offd_data;
hypre_CSRMatrixI(Ablock_offd) = Ablock_offd_i;
hypre_CSRMatrixJ(Ablock_offd) = Ablock_offd_j;
num_cols_Ablock_offd = 0;
if (Ablock_offd_size)
{
Ablock_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < num_cols_A_offd; i++)
Ablock_marker[i] = 0;
num_cols_Ablock_offd = 0;
for (i=0; i < Ablock_offd_size; i++)
{
index = Ablock_offd_j[i];
if (!Ablock_marker[index])
{
num_cols_Ablock_offd++;
Ablock_marker[index] = 1;
}
}
col_map_offd_Ablock = hypre_CTAlloc(HYPRE_BigInt, num_cols_Ablock_offd, memory_location);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_Ablock_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i=0; i < num_cols_Ablock_offd; i++)
{
while (Ablock_marker[index]==0) index++;
tmp_map_offd[i] = index++;
}
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i=0; i < Ablock_offd_size; i++)
Ablock_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
Ablock_offd_j[i],
num_cols_Ablock_offd);
hypre_TFree(Ablock_marker, HYPRE_MEMORY_HOST);
}
if (num_cols_Ablock_offd)
{
hypre_ParCSRMatrixColMapOffd(Ablock) = col_map_offd_Ablock;
hypre_CSRMatrixNumCols(Ablock_offd) = num_cols_Ablock_offd;
}
hypre_GetCommPkgRTFromCommPkgA(Ablock, A, fine_to_coarse, tmp_map_offd);
/* Create the assumed partition */
if (hypre_ParCSRMatrixAssumedPartition(Ablock) == NULL)
{
hypre_ParCSRMatrixCreateAssumedPartition(Ablock);
}
*A_block_ptr= Ablock;
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(col_coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
return(0);
}
/* Build A_FF matrix from A given a CF_marker array */
HYPRE_Int
hypre_MGRBuildAff( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
HYPRE_Int debug_flag,
hypre_ParCSRMatrix **A_ff_ptr )
{
HYPRE_Int i;
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A));
/* create a copy of the CF_marker array and switch C-points to F-points */
HYPRE_Int *CF_marker_copy = hypre_CTAlloc(HYPRE_Int, local_numrows, HYPRE_MEMORY_HOST);
#if 0
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
#endif
for (i = 0; i < local_numrows; i++) {
CF_marker_copy[i] = -CF_marker[i];
}
hypre_MGRGetSubBlock(A, CF_marker_copy, CF_marker_copy, debug_flag, A_ff_ptr);
/* Free copy of CF marker */
hypre_TFree(CF_marker_copy, HYPRE_MEMORY_HOST);
return(0);
}
/*********************************************************************************
* This routine assumes that the 'toVector' is larger than the 'fromVector' and
* the CF_marker is of the same length as the toVector. There must be n 'point_type'
* values in the CF_marker, where n is the length of the 'fromVector'.
* It adds the values of the 'fromVector' to the 'toVector' where the marker is the
* same as the 'point_type'
*********************************************************************************/
HYPRE_Int
hypre_MGRAddVectorP ( HYPRE_Int *CF_marker,
HYPRE_Int point_type,
HYPRE_Real a,
hypre_ParVector *fromVector,
HYPRE_Real b,
hypre_ParVector **toVector )
{
hypre_Vector *fromVectorLocal = hypre_ParVectorLocalVector(fromVector);
HYPRE_Real *fromVectorData = hypre_VectorData(fromVectorLocal);
hypre_Vector *toVectorLocal = hypre_ParVectorLocalVector(*toVector);
HYPRE_Real *toVectorData = hypre_VectorData(toVectorLocal);
HYPRE_Int n = hypre_ParVectorActualLocalSize(*toVector);
HYPRE_Int i, j;
j = 0;
for (i = 0; i < n; i++) {
if (CF_marker[i] == point_type) {
toVectorData[i] = b * toVectorData[i] + a * fromVectorData[j];
j++;
}
}
return 0;
}
/*************************************************************************************
* This routine assumes that the 'fromVector' is larger than the 'toVector' and
* the CF_marker is of the same length as the fromVector. There must be n 'point_type'
* values in the CF_marker, where n is the length of the 'toVector'.
* It adds the values of the 'fromVector' where the marker is the
* same as the 'point_type' to the 'toVector'
*************************************************************************************/
HYPRE_Int
hypre_MGRAddVectorR ( HYPRE_Int *CF_marker,
HYPRE_Int point_type,
HYPRE_Real a,
hypre_ParVector *fromVector,
HYPRE_Real b,
hypre_ParVector **toVector )
{
hypre_Vector *fromVectorLocal = hypre_ParVectorLocalVector(fromVector);
HYPRE_Real *fromVectorData = hypre_VectorData(fromVectorLocal);
hypre_Vector *toVectorLocal = hypre_ParVectorLocalVector(*toVector);
HYPRE_Real *toVectorData = hypre_VectorData(toVectorLocal);
HYPRE_Int n = hypre_ParVectorActualLocalSize(fromVector);
HYPRE_Int i, j;
j = 0;
for (i = 0; i < n; i++) {
if (CF_marker[i] == point_type) {
toVectorData[j] = b * toVectorData[j] + a * fromVectorData[i];
j++;
}
}
return 0;
}
/*
HYPRE_Int
hypre_MGRBuildAffRAP( MPI_Comm comm, HYPRE_Int local_num_variables, HYPRE_Int num_functions,
HYPRE_Int *dof_func, HYPRE_Int *CF_marker, HYPRE_Int **coarse_dof_func_ptr, HYPRE_BigInt **coarse_pnts_global_ptr,
hypre_ParCSRMatrix *A, HYPRE_Int debug_flag, hypre_ParCSRMatrix **P_f_ptr, hypre_ParCSRMatrix **A_ff_ptr )
{
HYPRE_Int *CF_marker_copy = hypre_CTAlloc(HYPRE_Int, local_num_variables, HYPRE_MEMORY_HOST);
HYPRE_Int i;
for (i = 0; i < local_num_variables; i++) {
CF_marker_copy[i] = -CF_marker[i];
}
hypre_BoomerAMGCoarseParms(comm, local_num_variables, 1, NULL, CF_marker_copy, coarse_dof_func_ptr, coarse_pnts_global_ptr);
hypre_MGRBuildP(A, CF_marker_copy, (*coarse_pnts_global_ptr), 0, debug_flag, P_f_ptr);
hypre_BoomerAMGBuildCoarseOperator(*P_f_ptr, A, *P_f_ptr, A_ff_ptr);
hypre_TFree(CF_marker_copy, HYPRE_MEMORY_HOST);
return 0;
}
*/
/* Get pointer to coarse grid matrix for MGR solver */
HYPRE_Int
hypre_MGRGetCoarseGridMatrix( void *mgr_vdata, hypre_ParCSRMatrix **RAP )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
if (mgr_data -> RAP == NULL)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC," Coarse grid matrix is NULL. Please make sure MGRSetup() is called \n");
return hypre_error_flag;
}
*RAP = mgr_data->RAP;
return hypre_error_flag;
}
/* Get pointer to coarse grid solution for MGR solver */
HYPRE_Int
hypre_MGRGetCoarseGridSolution( void *mgr_vdata, hypre_ParVector **sol )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
if (mgr_data -> U_array == NULL)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC," MGR solution array is NULL. Please make sure MGRSetup() and MGRSolve() are called \n");
return hypre_error_flag;
}
*sol = mgr_data->U_array[mgr_data->num_coarse_levels];
return hypre_error_flag;
}
/* Get pointer to coarse grid solution for MGR solver */
HYPRE_Int
hypre_MGRGetCoarseGridRHS( void *mgr_vdata, hypre_ParVector **rhs )
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
if (!mgr_data)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
if (mgr_data -> F_array == NULL)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC," MGR RHS array is NULL. Please make sure MGRSetup() and MGRSolve() are called \n");
return hypre_error_flag;
}
*rhs = mgr_data->F_array[mgr_data->num_coarse_levels];
return hypre_error_flag;
}
/* Print coarse grid linear system (for debugging)*/
HYPRE_Int
hypre_MGRPrintCoarseSystem( void *mgr_vdata, HYPRE_Int print_flag)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
mgr_data->print_coarse_system = print_flag;
return hypre_error_flag;
}
/* Print solver params */
HYPRE_Int
hypre_MGRWriteSolverParams(void *mgr_vdata)
{
hypre_ParMGRData *mgr_data = (hypre_ParMGRData*) mgr_vdata;
HYPRE_Int i, j;
HYPRE_Int max_num_coarse_levels = (mgr_data -> max_num_coarse_levels);
hypre_printf("MGR Setup parameters: \n");
hypre_printf("Block size: %d\n", (mgr_data -> block_size));
hypre_printf("Max number of coarse levels: %d\n", (mgr_data -> max_num_coarse_levels));
hypre_printf("Relax type: %d\n", (mgr_data -> relax_type));
hypre_printf("Set non-Cpoints to F-points: %d\n", (mgr_data -> set_non_Cpoints_to_F));
hypre_printf("Set Cpoints method: %d\n", (mgr_data -> set_c_points_method));
for (i = 0; i < max_num_coarse_levels; i++)
{
hypre_printf("Lev = %d, Interpolation type: %d\n", i, (mgr_data -> interp_type)[i]);
hypre_printf("Lev = %d, Restriction type: %d\n", i, (mgr_data -> restrict_type)[i]);
hypre_printf("Lev = %d, F-relaxation method: %d\n", i, (mgr_data -> Frelax_method)[i]);
hypre_printf("Lev = %d, Use non-Galerkin coarse grid: %d\n", i, (mgr_data -> use_non_galerkin_cg)[i]);
HYPRE_Int lvl_num_coarse_points = (mgr_data -> block_num_coarse_indexes)[i];
hypre_printf("Lev = %d, Number of Cpoints: %d\n", i, lvl_num_coarse_points);
hypre_printf("Cpoints indices: ");
for (j = 0; j < lvl_num_coarse_points; j++)
{
if ((mgr_data -> block_cf_marker)[i][j] == 1)
{
hypre_printf("%d ", j);
}
}
hypre_printf("\n");
}
hypre_printf("Number of Reserved Cpoints: %d\n", (mgr_data -> reserved_coarse_size));
hypre_printf("Keep reserved Cpoints to level: %d\n", (mgr_data -> lvl_to_keep_cpoints));
hypre_printf("\n MGR Solver Parameters: \n");
hypre_printf("Number of relax sweeps: %d\n", (mgr_data -> num_relax_sweeps));
hypre_printf("Number of interpolation sweeps: %d\n", (mgr_data -> num_interp_sweeps));
hypre_printf("Number of restriction sweeps: %d\n", (mgr_data -> num_restrict_sweeps));
hypre_printf("Global smoother type: %d\n", (mgr_data ->global_smooth_type));
hypre_printf("Number of global smoother sweeps: %d\n", (mgr_data ->global_smooth_iters));
hypre_printf("Max number of iterations: %d\n", (mgr_data -> max_iter));
hypre_printf("Stopping tolerance: %e\n", (mgr_data -> tol));
hypre_printf("Use default coarse grid solver: %d\n", (mgr_data -> use_default_cgrid_solver));
if((mgr_data -> use_default_fsolver) >= 0)
{
hypre_printf("Use default AMG solver for full AMG F-relaxation: %d\n", (mgr_data -> use_default_fsolver));
}
return hypre_error_flag;
}
#ifdef HYPRE_USING_DSUPERLU
void *
hypre_MGRDirectSolverCreate()
{
hypre_DSLUData *dslu_data = hypre_CTAlloc(hypre_DSLUData, 1, HYPRE_MEMORY_HOST);
return (void *) dslu_data;
}
HYPRE_Int
hypre_MGRDirectSolverSetup( void *solver,
hypre_ParCSRMatrix *A,
hypre_ParVector *f,
hypre_ParVector *u )
{
/* Par Data Structure variables */
HYPRE_BigInt global_num_rows = hypre_ParCSRMatrixGlobalNumRows(A);
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_local;
HYPRE_Int num_rows;
HYPRE_Int num_procs, my_id;
HYPRE_Int pcols=1, prows=1;
HYPRE_BigInt *big_rowptr = NULL;
hypre_DSLUData *dslu_data = (hypre_DSLUData *) solver;
HYPRE_Int info = 0;
HYPRE_Int nrhs = 0;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
/* Merge diag and offd into one matrix (global ids) */
A_local = hypre_MergeDiagAndOffd(A);
num_rows = hypre_CSRMatrixNumRows(A_local);
/* Now convert hypre matrix to a SuperMatrix */
#ifdef HYPRE_MIXEDINT
{
HYPRE_Int *rowptr = NULL;
HYPRE_Int i;
rowptr = hypre_CSRMatrixI(A_local);
big_rowptr = hypre_CTAlloc(HYPRE_BigInt, (num_rows+1), HYPRE_MEMORY_HOST);
for(i=0; i<(num_rows+1); i++)
{
big_rowptr[i] = (HYPRE_BigInt)rowptr[i];
}
}
#else
big_rowptr = hypre_CSRMatrixI(A_local);
#endif
dCreate_CompRowLoc_Matrix_dist(
&(dslu_data->A_dslu),global_num_rows,global_num_rows,
hypre_CSRMatrixNumNonzeros(A_local),
num_rows,
hypre_ParCSRMatrixFirstRowIndex(A),
hypre_CSRMatrixData(A_local),
hypre_CSRMatrixBigJ(A_local),big_rowptr,
SLU_NR_loc, SLU_D, SLU_GE);
/* DOK: SuperLU frees assigned data, so set them to null before
* calling hypre_CSRMatrixdestroy on A_local to avoid memory errors.
*/
#ifndef HYPRE_MIXEDINT
hypre_CSRMatrixI(A_local) = NULL;
#endif
hypre_CSRMatrixData(A_local) = NULL;
hypre_CSRMatrixBigJ(A_local) = NULL;
hypre_CSRMatrixDestroy(A_local);
/*Create process grid */
while (prows*pcols <= num_procs) ++prows;
--prows;
pcols = num_procs/prows;
while (prows*pcols != num_procs)
{
prows -= 1;
pcols = num_procs/prows;
}
//hypre_printf(" prows %d pcols %d\n", prows, pcols);
superlu_gridinit(comm, prows, pcols, &(dslu_data->dslu_data_grid));
set_default_options_dist(&(dslu_data->dslu_options));
dslu_data->dslu_options.Fact = DOFACT;
dslu_data->dslu_options.PrintStat = NO;
/*dslu_data->dslu_options.IterRefine = SLU_DOUBLE;
dslu_data->dslu_options.ColPerm = MMD_AT_PLUS_A;
dslu_data->dslu_options.DiagPivotThresh = 1.0;
dslu_data->dslu_options.ReplaceTinyPivot = NO; */
dScalePermstructInit(global_num_rows, global_num_rows, &(dslu_data->dslu_ScalePermstruct));
dLUstructInit(global_num_rows, &(dslu_data->dslu_data_LU));
PStatInit(&(dslu_data->dslu_data_stat));
dslu_data->global_num_rows = global_num_rows;
dslu_data->berr = hypre_CTAlloc(HYPRE_Real, 1, HYPRE_MEMORY_HOST);
dslu_data->berr[0] = 0.0;
pdgssvx(&(dslu_data->dslu_options), &(dslu_data->A_dslu),
&(dslu_data->dslu_ScalePermstruct), NULL, num_rows, nrhs,
&(dslu_data->dslu_data_grid), &(dslu_data->dslu_data_LU),
&(dslu_data->dslu_solve), dslu_data->berr, &(dslu_data->dslu_data_stat), &info);
dslu_data->dslu_options.Fact = FACTORED;
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRDirectSolverSolve( void *solver,
hypre_ParCSRMatrix *A,
hypre_ParVector *f,
hypre_ParVector *u )
{
hypre_SLUDistSolve(solver, f, u);
return hypre_error_flag;
}
HYPRE_Int
hypre_MGRDirectSolverDestroy( void *solver )
{
hypre_SLUDistDestroy(solver);
return hypre_error_flag;
}
#endif
|
split.c | #include "incs.h"
#include "check.h"
#include "check_tree.h"
#include "preproc_j.h"
#ifdef SCALAR
#include "reorder.h"
#endif
#ifdef VECTOR
#include "reorder_isp.h"
#endif
#include "search.h"
#include "split.h"
extern node_t *g_tree; // this is where the decision tree is created
extern int g_n_tree;
extern int g_sz_tree;
extern config_t g_C;
int
split(
uint32_t **to, /* [m][n] */
uint8_t *g, // for debugging
uint32_t lb,
uint32_t ub,
uint32_t nT, // number of tails in this data set
uint32_t nH, // number of heads in this data set
uint32_t n,
uint32_t m,
uint64_t **Y, /* [m][n] */
uint64_t **tmpY, /* [n] */
uint32_t depth
)
{
int status = 0;
// No point splitting if it would create more nodes than permissible
if ( g_n_tree >= g_sz_tree ) {
// fprintf(stderr, "No space in tree. Returning... \n");
return status;
}
// if a split would cause one of the children to be smaller
// size than permissible, no point splitting
if ( (ub - lb) < 2 * g_C.min_leaf_size ) { return status; }
// If a split would cause one of the children to be of greater
// depth than permissible, no point splitting
if ( depth >= g_C.max_depth ) {
// fprintf(stderr, "Tree too deep. Cannot split further \n");
return status;
}
// If all instances have same goal
if ( ( nH == 0 ) || ( nT == 0 ) ) {
return status;
}
four_nums_t num4; memset(&num4, 0, sizeof(four_nums_t));
uint32_t split_j = m+1; // set to some bad value
uint32_t split_yidx, split_yval;
bool is_splittable = false;
// above is set by search(). tells us whether split_idx/yval are any good
if ( g_C.is_verbose ) {
printf("Splitting %u to %u \n", lb, ub);
}
if ( g_C.is_debug ) {
status = check(to, g, lb, ub, nT, nH, n, m, Y); cBYE(status);
}
//-----------------------------------------
status = search(Y, lb, ub, nT, nH, m, n,
&split_j, &split_yval, &split_yidx, &num4, &is_splittable);
cBYE(status);
if ( !is_splittable ) { // none of the features offer a valid split
return status;
}
//---------------------------------------------------
// START: Re-order the data based on the best split found in search()
// Note that some iterations are no-ops. This happens if
// (a) iteration corresponds to feature selected for split
// (b) all values of feature are the same
#pragma omp parallel for schedule(dynamic, 1) num_threads(g_C.num_cores)
for ( uint32_t j = 0; j < m; j++ ) {
int lstatus = 0;
uint32_t lidx = lb, ridx = split_yidx;
uint64_t *Yj = Y[j];
uint64_t *tmpYj = tmpY[j];
#ifndef DEBUG
// the order of the attribute chosen for split is unchanged
// Hence, we can skip reordering it
if ( j == split_j ) { continue; }
// Quick return if all values are the same
// This *may* mess up some of my invariants but won't affect
// correctness of tree
if ( Y[j][lb] == Y[j][ub-1] ) { continue; }
#endif
#ifdef SCALAR
lstatus = reorder(Y[j], tmpY[j], to[j], to[split_j], lb, ub,
split_yidx, &lidx, &ridx);
#endif
#ifdef VECTOR
reorder_isp(Y[j], tmpY[j], to[j], to[split_j], lb, ub,
split_yidx, &lidx, &ridx, &lstatus);
#endif
#ifdef DEBUG
if ( lstatus < 0 ) { WHEREAMI; status = -1; continue; }
if ( lidx != split_yidx ) { WHEREAMI; status = -1; continue; }
if ( ridx != ub ) { WHEREAMI; status = -1; continue; }
#endif
if ( j != split_j ) {
// SLOW: for ( uint32_t i = lb; i < ub; i++ ) { Yj[i] = tmpYj[i]; }
memcpy(Yj+lb, tmpYj+lb, (ub-lb) * sizeof(uint64_t));
}
else { // no need to re-order feature chosen for split
#ifdef DEBUG
for ( uint32_t i = lb; i < ub; i++ ) {
if ( Yj[i] != tmpYj[i] ) { WHEREAMI; status = -1; continue; }
}
#endif
}
}
// STOP : Re-order the data based on the best split found in search()
int parent_id = g_n_tree - 1;
if ( ( split_yidx - lb ) >= g_C.min_partition_size ) {
// set parent to lchild pointer and lchild to parent pointer
g_tree[g_n_tree-1].lchild_id = g_n_tree;
g_tree[g_n_tree].parent_id = parent_id;
// set nH and nT for this newly created left child
g_tree[g_n_tree].nT = num4.n_T_L;
g_tree[g_n_tree].nH = num4.n_H_L;
g_tree[g_n_tree].depth = depth + 1;
g_n_tree++;
// split the left child
status = split(to, g, lb, split_yidx, num4.n_T_L, num4.n_H_L,
n, m, Y, tmpY, depth+1);
cBYE(status);
#ifdef DEBUG
status = check_tree(g_tree, g_n_tree, m); cBYE(status);
#endif
}
// This check needs to be repeated because of left child creation
// No point splitting if it would create more nodes than permissible
if ( g_n_tree >= g_sz_tree ) {
// fprintf(stderr, "No space in tree. Returning... \n");
return status;
}
if ( ( ub - split_yidx ) >= g_C.min_partition_size ) {
// set parent to rchild pointer and rchild to parent pointer
g_tree[parent_id].rchild_id = g_n_tree;
g_tree[g_n_tree].parent_id = parent_id;
// set nH and nT for this newly created right child
g_tree[g_n_tree].nT = num4.n_T_R;
g_tree[g_n_tree].nH = num4.n_H_R;
g_tree[g_n_tree].depth = depth + 1;
g_n_tree++;
// split the right child
status = split(to, g, split_yidx, ub, num4.n_T_R, num4.n_H_R,
n, m, Y, tmpY, depth+1);
cBYE(status);
#ifdef DEBUG
status = check_tree(g_tree, g_n_tree, m); cBYE(status);
#endif
}
BYE:
return status;
}
|
GB_dense_subassign_23_template.c | //------------------------------------------------------------------------------
// GB_dense_subassign_23_template: C += B where C is dense; B is sparse or dense
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
#include "GB_unused.h"
{
//--------------------------------------------------------------------------
// get C and B
//--------------------------------------------------------------------------
ASSERT (!C->iso) ;
const GB_BTYPE *restrict Bx = (GB_BTYPE *) B->x ;
const bool B_iso = B->iso ;
GB_CTYPE *restrict Cx = (GB_CTYPE *) C->x ;
ASSERT (GB_is_dense (C)) ;
const int64_t cnz = GB_nnz_held (C) ;
if (GB_IS_BITMAP (B))
{
//----------------------------------------------------------------------
// C += B when C is dense and B is bitmap
//----------------------------------------------------------------------
const int8_t *restrict Bb = B->b ;
int64_t p ;
#pragma omp parallel for num_threads(B_nthreads) schedule(static)
for (p = 0 ; p < cnz ; p++)
{
if (!Bb [p]) continue ;
GB_GETB (bij, Bx, p, B_iso) ; // bij = B(i,j)
GB_BINOP (GB_CX (p), GB_CX (p), bij, 0, 0) ; // C(i,j) += bij
}
}
else if (B_ek_slicing == NULL)
{
//----------------------------------------------------------------------
// C += B when both C and B are dense
//----------------------------------------------------------------------
ASSERT (GB_is_dense (B)) ;
int64_t p ;
#pragma omp parallel for num_threads(B_nthreads) schedule(static)
for (p = 0 ; p < cnz ; p++)
{
GB_GETB (bij, Bx, p, B_iso) ; // bij = B(i,j)
GB_BINOP (GB_CX (p), GB_CX (p), bij, 0, 0) ; // C(i,j) += bij
}
}
else
{
//----------------------------------------------------------------------
// C += B when C is dense and B is sparse
//----------------------------------------------------------------------
ASSERT (GB_JUMBLED_OK (B)) ;
const int64_t *restrict Bp = B->p ;
const int64_t *restrict Bh = B->h ;
const int64_t *restrict Bi = B->i ;
const int64_t bvlen = B->vlen ;
const int64_t cvlen = C->vlen ;
bool B_jumbled = B->jumbled ;
const int64_t *restrict kfirst_Bslice = B_ek_slicing ;
const int64_t *restrict klast_Bslice = kfirst_Bslice + B_ntasks ;
const int64_t *restrict pstart_Bslice = klast_Bslice + B_ntasks ;
int taskid ;
#pragma omp parallel for num_threads(B_nthreads) schedule(dynamic,1)
for (taskid = 0 ; taskid < B_ntasks ; taskid++)
{
// if kfirst > klast then taskid does no work at all
int64_t kfirst = kfirst_Bslice [taskid] ;
int64_t klast = klast_Bslice [taskid] ;
//------------------------------------------------------------------
// C(:,kfirst:klast) += B(:,kfirst:klast)
//------------------------------------------------------------------
for (int64_t k = kfirst ; k <= klast ; k++)
{
//--------------------------------------------------------------
// find the part of B(:,k) and C(:,k) for this task
//--------------------------------------------------------------
int64_t j = GBH (Bh, k) ;
int64_t my_pB_start, my_pB_end ;
GB_get_pA (&my_pB_start, &my_pB_end, taskid, k,
kfirst, klast, pstart_Bslice, Bp, bvlen) ;
int64_t pB_start = GBP (Bp, k, bvlen) ;
int64_t pB_end = GBP (Bp, k+1, bvlen) ;
bool bjdense = ((pB_end - pB_start) == cvlen) ;
// pC points to the start of C(:,j) if C is dense
int64_t pC = j * cvlen ;
//--------------------------------------------------------------
// C(:,j) += B(:,j)
//--------------------------------------------------------------
if (bjdense && !B_jumbled)
{
//----------------------------------------------------------
// both C(:,j) and B(:,j) are dense
//----------------------------------------------------------
GB_PRAGMA_SIMD_VECTORIZE
for (int64_t pB = my_pB_start ; pB < my_pB_end ; pB++)
{
int64_t i = pB - pB_start ;
int64_t p = pC + i ;
GB_GETB (bij, Bx, pB, B_iso) ; // bij = B(i,j)
// C(i,j) += bij
GB_BINOP (GB_CX (p), GB_CX (p), bij, 0, 0) ;
}
}
else
{
//----------------------------------------------------------
// C(:,j) is dense; B(:,j) is sparse
//----------------------------------------------------------
GB_PRAGMA_SIMD_VECTORIZE
for (int64_t pB = my_pB_start ; pB < my_pB_end ; pB++)
{
int64_t i = Bi [pB] ;
int64_t p = pC + i ;
GB_GETB (bij, Bx, pB, B_iso) ; // bij = B(i,j)
// C(i,j) += bij
GB_BINOP (GB_CX (p), GB_CX (p), bij, 0, 0) ;
}
}
}
}
}
}
|
patch-src_algo_blast_core_blast__kappa.c | $NetBSD: patch-src_algo_blast_core_blast__kappa.c,v 1.2 2019/01/07 15:00:10 bacon Exp $
# Work around NetBSD stderr def choking macro
--- src/algo/blast/core/blast_kappa.c.orig 2019-01-02 04:00:17.000000000 +0000
+++ src/algo/blast/core/blast_kappa.c
@@ -32,6 +32,7 @@
* system for each match in blastpgp
*/
+#include <stdio.h>
#include <float.h>
#include <algo/blast/core/ncbi_math.h>
#include <algo/blast/core/blast_hits.h>
@@ -57,7 +58,7 @@
* shared(...) list. */
# define STDERR_COMMA
# else
-# define STDERR_COMMA stderr,
+# define STDERR_COMMA my_stderr,
# endif
#endif
@@ -3412,6 +3413,8 @@ Blast_RedoAlignmentCore_MT(EBlastProgram
}
Boolean interrupt = FALSE;
+ /* NetBSD defines stderr as (&__sF[2]), which the macro below chokes on */
+ FILE *my_stderr = stderr;
#pragma omp parallel \
default(none) num_threads(actual_num_threads) \
if(actual_num_threads>1) \
|
calculate_global_physical_properties.h | #ifndef CALCULATE_GLOBAL_PHYSICAL_PROPERTIES_H
#define CALCULATE_GLOBAL_PHYSICAL_PROPERTIES_H
// /* External includes */
// System includes
// Project includes
#include "utilities/timer.h"
#include "custom_utilities/create_and_destroy.h"
#include "custom_elements/Particle_Contact_Element.h"
#include "includes/variables.h"
/* System includes */
#include <limits>
#include <iostream>
#include <iomanip>
/* External includes */
#ifdef _OPENMP
#include <omp.h>
#endif
/* Project includes */
#include "includes/define.h"
#include "utilities/openmp_utils.h"
namespace Kratos
{
class SphericElementGlobalPhysicsCalculator
{
public:
typedef ModelPart::ElementsContainerType ElementsArrayType;
KRATOS_CLASS_POINTER_DEFINITION(SphericElementGlobalPhysicsCalculator);
/// Default constructor.
SphericElementGlobalPhysicsCalculator(ModelPart& r_model_part)
{
mInitialCenterOfMassAndMass = CalculateCenterOfMass(r_model_part);
mInitialMass = CalculateTotalMass(r_model_part);
}
/// Destructor.
virtual ~SphericElementGlobalPhysicsCalculator(){}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateTotalVolume(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double added_volume = 0.0;
#pragma omp parallel for reduction(+ : added_volume)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if (it->GetGeometry()[0].Is(BLOCKED)) { // we exclude blocked elements from the volume calculation (e.g., inlet injectors)
continue;
}
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
SphericParticle& r_spheric_particle = dynamic_cast<Kratos::SphericParticle&> (*it);
const double particle_radius = r_spheric_particle.GetRadius();
added_volume += 4.0 / 3.0 * Globals::Pi * particle_radius * particle_radius * particle_radius;
}
}
}
return added_volume;
}
//***************************************************************************************************************
//***************************************************************************************************************
// Returns the minimum value of a double variable in the model part.
double CalculateMaxNodalVariable(ModelPart& r_model_part, const Variable<double>& r_variable) {
ElementsArrayType& pElements = r_model_part.GetCommunicator().LocalMesh().Elements();
KRATOS_ERROR_IF(pElements.size() == 0) << "Cannot compute maximum of the required nodal variable. Empty model part. Could not compute the maximum of the required variable " << r_variable << std::endl;
ElementsArrayType::iterator it_begin = pElements.ptr_begin();
KRATOS_ERROR_IF_NOT(it_begin->GetGeometry()[0].SolutionStepsDataHas(r_variable)) << "Cannot compute maximum of the required nodal variable. Missing nodal variable " << r_variable << std::endl;
std::vector<double> max_values;
double max_val = - std::numeric_limits<double>::max();
max_values.resize(OpenMPUtils::GetNumThreads());
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
max_values[k] = max_val;
}
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), pElements.size(), mElementsPartition);
unsigned int elem_counter;
#pragma omp parallel for private(elem_counter)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
elem_counter = mElementsPartition[k];
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
max_values[k] = std::max(max_values[k], (it)->GetGeometry()[0].FastGetSolutionStepValue(r_variable));
elem_counter++;
}
}
// getting the maximum between threads:
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
max_val = std::max(max_val, max_values[k]);
}
return max_val;
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateMinNodalVariable(ModelPart& r_model_part, const Variable<double>& r_variable) {
ElementsArrayType& pElements = r_model_part.GetCommunicator().LocalMesh().Elements();
KRATOS_ERROR_IF(pElements.size() == 0) << "Cannot compute minimum of the required nodal variable. Empty model part. Could not compute the maximum of the required variable " << r_variable << std::endl;
ElementsArrayType::iterator it_begin = pElements.ptr_begin();
KRATOS_ERROR_IF_NOT(it_begin->GetGeometry()[0].SolutionStepsDataHas(r_variable)) << "Cannot compute minimum of the required nodal variable. Missing variable " << r_variable << std::endl;
std::vector<double> min_values;
double min_val = std::numeric_limits<double>::max();
min_values.resize(OpenMPUtils::GetNumThreads());
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
min_values[k] = min_val;
}
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), pElements.size(), mElementsPartition);
unsigned int elem_counter;
#pragma omp parallel for private(elem_counter)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
elem_counter = mElementsPartition[k];
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
min_values[k] = std::min(min_values[k], (it)->GetGeometry()[0].FastGetSolutionStepValue(r_variable));
elem_counter++;
}
}
// getting the minimum between threads:
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
min_val = std::min(min_val, min_values[k]);
}
return min_val;
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateD50(ModelPart& r_model_part)
{
const unsigned int size = r_model_part.GetCommunicator().LocalMesh().Elements().size();
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), size, mElementsPartition);
std::vector<double> radii;
radii.resize(size);
unsigned int particle_counter = 0;
#pragma omp parallel for private(particle_counter)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
particle_counter = mElementsPartition[k];
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
SphericParticle& r_spheric_particle = dynamic_cast<Kratos::SphericParticle&> (*it);
radii[particle_counter] = r_spheric_particle.GetRadius();
particle_counter++;
}
}
if (particle_counter) {
std::sort(radii.begin(), radii.end());
int half = div(size, 2).quot;
bool even = (size%2 == 0);
double d50 = even ? 2 * radii[half] : radii[half] + radii[half + 1];
return d50;
}
else {
return 0.00;
}
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateTotalMass(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(),r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double added_mass = 0.0;
#pragma omp parallel for reduction(+ : added_mass)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
double particle_mass = (it)->GetGeometry()[0].FastGetSolutionStepValue(NODAL_MASS);
added_mass += particle_mass;
}
}
}
return added_mass;
}
//***************************************************************************************************************
//***************************************************************************************************************
array_1d<double, 3> CalculateCenterOfMass(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
const double total_mass_inv = 1 / CalculateTotalMass(r_model_part);
double cm_x = 0.0;
double cm_y = 0.0;
double cm_z = 0.0;
#pragma omp parallel for reduction(+ : cm_x, cm_y, cm_z)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
double particle_mass = (it)->GetGeometry()[0].FastGetSolutionStepValue(NODAL_MASS);
cm_x += particle_mass * (it)->GetGeometry()[0].Coordinates()[0];
cm_y += particle_mass * (it)->GetGeometry()[0].Coordinates()[1];
cm_z += particle_mass * (it)->GetGeometry()[0].Coordinates()[2];
}
}
}
array_1d<double, 3> center_of_mass;
center_of_mass[0] = total_mass_inv * cm_x;
center_of_mass[1] = total_mass_inv * cm_y;
center_of_mass[2] = total_mass_inv * cm_z;
return center_of_mass;
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateGravitationalPotentialEnergy(ModelPart& r_model_part, const array_1d<double, 3> reference_point)
{
double gravitational_energy;
const double total_mass = CalculateTotalMass(r_model_part);
if (total_mass == 0) gravitational_energy = 0.0;
else {
const array_1d<double, 3>& gravity = r_model_part.GetProcessInfo()[GRAVITY];
const array_1d<double, 3> center_of_mass = CalculateCenterOfMass(r_model_part);
const array_1d<double, 3> center_of_mass_to_reference = reference_point - center_of_mass;
gravitational_energy = total_mass * (center_of_mass_to_reference[0] * gravity[0] + center_of_mass_to_reference[1] * gravity[1] + center_of_mass_to_reference[2] * gravity[2]);
}
return gravitational_energy;
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateTranslationalKinematicEnergy(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double kinematic_energy = 0.0;
#pragma omp parallel for reduction(+ : kinematic_energy)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
double particle_translational_kinematic_energy = 0.0;
(it)->Calculate(PARTICLE_TRANSLATIONAL_KINEMATIC_ENERGY, particle_translational_kinematic_energy, r_model_part.GetProcessInfo());
kinematic_energy += particle_translational_kinematic_energy;
}
}
}
return kinematic_energy;
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateRotationalKinematicEnergy(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double rotational_kinematic_energy = 0.0;
#pragma omp parallel for reduction(+ : rotational_kinematic_energy)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
double particle_rotational_kinematic_energy = 0.0;
(it)->Calculate(PARTICLE_ROTATIONAL_KINEMATIC_ENERGY, particle_rotational_kinematic_energy, r_model_part.GetProcessInfo());
rotational_kinematic_energy += particle_rotational_kinematic_energy;
}
}
}
return rotational_kinematic_energy;
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateElasticEnergy(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double elastic_energy = 0.0;
#pragma omp parallel for reduction(+ : elastic_energy)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
double particle_elastic_energy = 0.0;
(it)->Calculate(PARTICLE_ELASTIC_ENERGY, particle_elastic_energy, r_model_part.GetProcessInfo());
elastic_energy += particle_elastic_energy;
}
}
}
return elastic_energy;
}
//***************************************************************************************************************
//***************************************************************************************************************
double CalculateInelasticFrictionalEnergy(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double frictional_energy = 0.0;
#pragma omp parallel for reduction(+ : frictional_energy)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
double particle_frictional_energy = 0.0;
(it)->Calculate(PARTICLE_INELASTIC_FRICTIONAL_ENERGY, particle_frictional_energy, r_model_part.GetProcessInfo());
frictional_energy += particle_frictional_energy;
}
}
}
return frictional_energy;
}
double CalculateInelasticViscodampingEnergy(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double viscodamping_energy = 0.0;
#pragma omp parallel for reduction(+ : viscodamping_energy)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
double particle_viscodamping_energy = 0.0;
(it)->Calculate(PARTICLE_INELASTIC_VISCODAMPING_ENERGY, particle_viscodamping_energy, r_model_part.GetProcessInfo());
viscodamping_energy += particle_viscodamping_energy;
}
}
}
return viscodamping_energy;
}
//***************************************************************************************************************
//***************************************************************************************************************
array_1d<double, 3> CalculateTotalMomentum(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double m_x = 0.0;
double m_y = 0.0;
double m_z = 0.0;
#pragma omp parallel for reduction(+ : m_x, m_y, m_z)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
array_1d<double, 3> particle_momentum;
(it)->Calculate(MOMENTUM, particle_momentum, r_model_part.GetProcessInfo());
m_x += particle_momentum[0];
m_y += particle_momentum[1];
m_z += particle_momentum[2];
}
}
}
array_1d<double, 3> momentum;
momentum[0] = m_x;
momentum[1] = m_y;
momentum[2] = m_z;
return momentum;
}
//***************************************************************************************************************
//***************************************************************************************************************
array_1d<double, 3> CalulateTotalAngularMomentum(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(), r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
const array_1d<double, 3> center_of_mass = CalculateCenterOfMass(r_model_part);
double am_x = 0.0;
double am_y = 0.0;
double am_z = 0.0;
#pragma omp parallel for reduction(+ : am_x, am_y, am_z)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); k++){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)) {
array_1d<double, 3> particle_momentum;
array_1d<double, 3> particle_local_angular_momentum;
array_1d<double, 3> center_of_mass_to_particle = (it)->GetGeometry()[0].Coordinates() - center_of_mass;
(it)->Calculate(MOMENTUM, particle_momentum, r_model_part.GetProcessInfo());
(it)->Calculate(ANGULAR_MOMENTUM, particle_local_angular_momentum, r_model_part.GetProcessInfo());
array_1d<double, 3> aux;
Kratos::MathUtils<double>::CrossProduct(aux, particle_momentum, center_of_mass_to_particle);
am_x += particle_local_angular_momentum[0] + aux[0];
am_y += particle_local_angular_momentum[1] + aux[1];
am_z += particle_local_angular_momentum[2] + aux[2];
}
}
}
array_1d<double, 3> angular_momentum;
angular_momentum[0] = am_x;
angular_momentum[1] = am_y;
angular_momentum[2] = am_z;
return angular_momentum;
}
//***************************************************************************************************************
//***************************************************************************************************************
// Check by how much Newton's Third Law is violated
array_1d<double, 3> CalculateSumOfInternalForces(ModelPart& r_model_part)
{
OpenMPUtils::CreatePartition(OpenMPUtils::GetNumThreads(),r_model_part.GetCommunicator().LocalMesh().Elements().size(), mElementsPartition);
double sum_of_contact_forces_x = 0.0;
double sum_of_contact_forces_y = 0.0;
double sum_of_contact_forces_z = 0.0;
#pragma omp parallel for reduction(+ : sum_of_contact_forces_x, sum_of_contact_forces_y, sum_of_contact_forces_z)
for (int k = 0; k < OpenMPUtils::GetNumThreads(); ++k){
for (ElementsArrayType::iterator it = GetElementPartitionBegin(r_model_part, k); it != GetElementPartitionEnd(r_model_part, k); ++it){
if ((it)->IsNot(DEMFlags::BELONGS_TO_A_CLUSTER)){
const array_1d<double, 3>& contact_force = (it)->GetGeometry()[0].FastGetSolutionStepValue(CONTACT_FORCES);
sum_of_contact_forces_x += contact_force[0];
sum_of_contact_forces_y += contact_force[1];
sum_of_contact_forces_z += contact_force[2];
}
}
}
array_1d<double, 3> sum_of_contact_forces;
sum_of_contact_forces[0] = sum_of_contact_forces_x;
sum_of_contact_forces[1] = sum_of_contact_forces_y;
sum_of_contact_forces[2] = sum_of_contact_forces_z;
return sum_of_contact_forces;
}
//***************************************************************************************************************
//***************************************************************************************************************
///@}
///@name Access
///@{
array_1d<double, 3> GetInitialCenterOfMass()
{
return mInitialCenterOfMassAndMass;
}
///@}
///@name Inquiry
///@{
///@}
///@name Input and output
///@{
/// Turn back information as a stemplate<class T, std::size_t dim> tring.
virtual std::string Info() const
{
return "";
}
/// Print information about this object.
virtual void PrintInfo(std::ostream& rOStream) const
{
}
/// Print object's data.
virtual void PrintData(std::ostream& rOStream) const
{
}
///@}
///@name Friends
///@{
std::vector<unsigned int>& GetElementPartition()
{
return (mElementsPartition);
}
ElementsArrayType::iterator GetElementPartitionBegin(ModelPart& r_model_part, unsigned int k)
{
ElementsArrayType& pElements = r_model_part.GetCommunicator().LocalMesh().Elements();
return (pElements.ptr_begin() + mElementsPartition[k]);
}
ElementsArrayType::iterator GetElementPartitionEnd(ModelPart& r_model_part, unsigned int k)
{
ElementsArrayType& pElements = r_model_part.GetCommunicator().LocalMesh().Elements();
return (pElements.ptr_begin() + mElementsPartition[k + 1]);
}
///@}
protected:
///@name Protected static Member r_variables
///@{
///@}
///@name Protected member r_variables
///@{ template<class T, std::size_t dim>
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
///@}
///@name Protected Access
///@{
std::vector<unsigned int> mElementsPartition;
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
private:
///@name Static Member r_variables
///@{
///@}
///@name Member r_variables
///@{
array_1d<double, 3> mInitialCenterOfMassAndMass;
double mInitialMass;
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
///@}
///@name Private Access
///@{
///@}
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
/// Assignment operator.
SphericElementGlobalPhysicsCalculator & operator=(SphericElementGlobalPhysicsCalculator const& rOther);
///@}
}; // Class SphericElementGlobalPhysicsCalculator
///@}
///@name Type Definitions
///@{
///@}
///@name Input and output
///@{
} // namespace Kratos.
#endif // CALCULATE_GLOBAL_PHYSICAL_PROPERTIES_H
|
GB_unaryop__abs_int16_int64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_int16_int64
// op(A') function: GB_tran__abs_int16_int64
// C type: int16_t
// A type: int64_t
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = GB_IABS (aij)
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
int16_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 = GB_IABS (x) ;
// casting
#define GB_CASTING(z, aij) \
int16_t z = (int16_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_INT16 || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_int16_int64
(
int16_t *Cx, // Cx and Ax may be aliased
int64_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_int16_int64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
hello_omp.c | #include <stdio.h>
#include <omp.h>
int main(int argc, char **argv)
{
int omp_n, omp_i;
#pragma omp parallel private(omp_n, omp_i)
{
omp_n = omp_get_num_threads();
omp_i = omp_get_thread_num();
printf("Hello World from OMP %d/%d\n",
omp_i, omp_n);
}
return 0;
}
|
generic_align.h | #ifndef GENERIC_ALIGN_H
#define GENERIC_ALIGN_H
////// Maximum number of points used to compute the GLS descriptor
#define GLS_SUBSAMPLE
#define GLS_MAX_NO_POINTS 20000
#include <common/meshmodel.h>
#include "struct.h"
class GenericAlign
{
public:
GenericAlign();
int _seedNumber;
protected:
// Given a couple of points, it checks if they are compatible with a
// list of previous couples, both for distance and difference in normals
inline bool isScaleOk(float scale1, float scale2, float multiplier)
{
if(scale1>=scale2) return (scale1/scale2<=multiplier);
else return (scale2/scale1<=multiplier);
}
inline float getScaleFromTransf(const vcg::Matrix44f& res)
{
vcg::Point3f diag(res[0][0], res[1][1], res[2][2]);
return sqrt(diag.X()*diag.X()+diag.Y()*diag.Y()+diag.Z()*diag.Z());
}
// Given a couple of points, it checks if they are compatible with a list of
// previous couples, both for distance and difference in normals
bool isCoupleOk(const CVertexO& firstToAl,
const CVertexO& firstRef,
const CVertexO& secondToAl,
const CVertexO& secondRef,
float scale);
// Check if two points on the toAlign model are far enough to help in
// the registration
bool isToAlignOk(int ind,
MeshModel* toAlign,
const std::vector <std::pair<int, int> >& corrs);
bool isReferenceOk(int ref,
MeshModel* reference,
int al,
MeshModel* toAlign,
const std::vector <std::pair<int, int> > &corrs,
float scale);
std::vector< int >
selectSeeds(MeshModel* toAlign,
MeshModel* /*reference*/ ,
int start=0);
std::vector< int >
selectSeedsDescr(DescriptorBase toAlign,
const std::vector<DescrPoint> &descrList,
bool shuffle);
bool checkTriplets(const DescriptorBase& toAlign,
const DescriptorBase& reference,
std::vector<std::pair<int, int> > corrs,
const std::vector<Cand>& thirdPoints,
float scale,
float error);
bool checkQuadriplets(const DescriptorBase& toAlign,
const DescriptorBase& reference,
std::vector<std::pair<int, int> > corrs,
const std::vector<Cand>& thirdPoints,
float scale,
float error);
// Create space to store GLS descriptors and computes it
inline
void preComputeDescriptor(DescriptorBase& mesh,
const std::vector<float> &scales,
bool ompParallel)
{ _preAllocateDescriptor<true>(mesh, scales, ompParallel); }
// Create space to store GLS descriptors without computing it
inline
void preAllocateDescriptor(DescriptorBase& mesh,
const std::vector<float> &scales,
bool ompParallel)
{ _preAllocateDescriptor<false>(mesh, scales, ompParallel); }
template <class Fit>
inline void computeDescriptor( const MyPoint &query,
const std::vector<float>& scales,
const DescriptorBase& base,
std::vector<Fit>* result, bool overwrite = true);
float ComputeLCP( const vcg::Matrix44f& transformation,
float epsilon,
const DescriptorBase& P,
const DescriptorBase& Q,
float prevLCP);
private:
template <bool compute>
inline void
_preAllocateDescriptor(DescriptorBase& mesh,
const std::vector<float>& scales,
bool ompParallel);
};
/// Compute the GLS descriptor for at the position query and for a given set of scales
template <class Fit>
void
GenericAlign::computeDescriptor( const MyPoint &query,
const std::vector<float>& scales,
const DescriptorBase& base,
std::vector<Fit>* result, bool overwrite)
{
unsigned int nbScale = scales.size();
float scaleMax = base.maxScale;
// compile time check
if (! overwrite) {
if (result->size() == nbScale)
return;
}
if (result->size() != nbScale)
result->resize(nbScale);
//QTime time;
/// 3.1 Collect neighborhood at larger scale
std::vector<unsigned int> n;
std::vector<Scalar> squaredDist;
//time.start();
#pragma omp critical
vcg::Point3f seed(query.pos().x(), query.pos().y(), query.pos().z());
base.kdTree->doQueryDist(seed, scaleMax, n, squaredDist);
std::random_shuffle ( n.begin(), n.end() );
//cout << "Nei. collection done in " << time.elapsed() << " msec" << endl;
/// 3.2 Compute and store the fit at multiple scales
int nId;
//time.start();
/// last id of the partially sorted array
int lastnId = n.size()-1;
for (int t = scales.size()-1; t >= 0; t--){
Fit mfit;
const float& scaleSize = scales[t];
const float sqScale = scaleSize*scaleSize;
if (scaleSize>base.minScale && scaleSize<=base.maxScale)
{
#ifdef GLS_SUBSAMPLE
// initialize descriptor
mfit.setWeightFunc(WeightFunc(scaleSize));
mfit.init(query.pos());
/// last id we take into account wrt to GLS_MAX_NO_POINTS
int lastReducedId = lastnId < GLS_MAX_NO_POINTS ? lastnId : GLS_MAX_NO_POINTS;
for (nId = 0; nId <= lastReducedId; ){
const unsigned int& id = n[nId]; // it is the original id, as requested when doing the kdist query
MyPoint p (base.model->cm.vert[id]);
p.normal().normalize();
if ((query.pos() - p.pos()).squaredNorm() <= sqScale){
mfit.addNeighbor(p);
nId++; //must don't go to next point when need to swap
}else {
if (lastnId == 0)
break;
unsigned int tmp = n[nId];
n[nId] = n[lastnId];
n[lastnId] = tmp;
lastnId--;
lastReducedId = lastnId < GLS_MAX_NO_POINTS ? lastnId : GLS_MAX_NO_POINTS;
}
}
mfit.finalize();
/* std::cout << scaleSize
<< " " << mfit.tau()
<< " " << mfit.kappa()
<< " " << mfit.tau_normalized()
<< " " << mfit.kappa_normalized()
<< endl;*/
#else //GLS_SUBSAMPLE is not defined: Use all points
// initialize descriptor
mfit.setWeightFunc(WeightFunc(scaleSize));
mfit.init(query.pos());
// compute descriptor
// we use here a partial sorting of the neighborhood:
// - we start by the coarser scale
// - each time we get point too far to be considered
// - we put it at the end of the neighborhood array
//
// Each time a neighbor is swapped, we record it and use the
// number of swap as right-end array limit.
for (nId = 0; nId <= lastnId; ){
const unsigned int& id = n[nId]; // it is the original id, as requested when doing the kdist query
MyPoint p (base.model->cm.vert[id]);
p.normal().normalize();
if ((query.pos() - p.pos()).squaredNorm() <= sqScale){
mfit.addNeighbor(p);
nId++; //must don't go to next point when need to swap
}else {
if (lastnId == 0)
break;
unsigned int tmp = n[nId];
n[nId] = n[lastnId];
n[lastnId] = tmp;
lastnId--;
}
}
mfit.finalize();
#endif //#ifdef GLS_SUBSAMPLE
}
(*result)[t] = mfit;
}
}
// Precompute the GLS descriptor, only for the selected points
template <bool compute>
void
GenericAlign::_preAllocateDescriptor(DescriptorBase& mesh,
const std::vector<float>& scales,
bool ompParallel){
typedef typename std::vector<DerivableSphereFit> Container;
using vcg::tri::Allocator;
CMeshO::PerVertexAttributeHandle<Container* > descriptorsHandler;
descriptorsHandler =
Allocator<CMeshO>::GetPerVertexAttribute<Container* >
(mesh.model->cm, std::string("GLSDescr"));
#pragma omp parallel for if (ompParallel)
for(int i = 0; i < mesh.selection.size(); i++){
unsigned int ind = mesh.selection[i];
descriptorsHandler[ind] = new std::vector<DerivableSphereFit>();
if(compute)
computeDescriptor(mesh.model->cm.vert[ind],
scales,
mesh,
descriptorsHandler[ind]);
}
}
#endif // GENERIC_ALIGN_H
|
GB_unaryop__minv_bool_int8.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__minv_bool_int8
// op(A') function: GB_tran__minv_bool_int8
// C type: bool
// A type: int8_t
// cast: ;
// unaryop: cij = true
#define GB_ATYPE \
int8_t
#define GB_CTYPE \
bool
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
;
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = true ;
// casting
#define GB_CASTING(z, aij) \
; ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINV || GxB_NO_BOOL || GxB_NO_INT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_bool_int8
(
bool *Cx, // Cx and Ax may be aliased
int8_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__minv_bool_int8
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
3d25pt.c | /*
* Order-2, 3D 25 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
#ifndef min
#define min(x,y) ((x) < (y)? (x) : (y))
#endif
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
double ***roc2 = (double ***) malloc(sizeof(double**));
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
roc2 = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
roc2[i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
roc2[i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 24;
tile_size[1] = 24;
tile_size[2] = 4;
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);
roc2[i][j][k] = 2.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
const double coef0 = -0.28472;
const double coef1 = 0.16000;
const double coef2 = -0.02000;
const double coef3 = 0.00254;
const double coef4 = -0.00018;
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] = 2.0*A[t%2][i][j][k] - A[(t+1)%2][i][j][k] + roc2[i][j][k]*(
coef0* A[t%2][i ][j ][k ] +
coef1*(A[t%2][i-1][j ][k ] + A[t%2][i+1][j ][k ] +
A[t%2][i ][j-1][k ] + A[t%2][i ][j+1][k ] +
A[t%2][i ][j ][k-1] + A[t%2][i ][j ][k+1]) +
coef2*(A[t%2][i-2][j ][k ] + A[t%2][i+2][j ][k ] +
A[t%2][i ][j-2][k ] + A[t%2][i ][j+2][k ] +
A[t%2][i ][j ][k-2] + A[t%2][i ][j ][k+2]) +
coef3*(A[t%2][i-3][j ][k ] + A[t%2][i+3][j ][k ] +
A[t%2][i ][j-3][k ] + A[t%2][i ][j+3][k ] +
A[t%2][i ][j ][k-3] + A[t%2][i ][j ][k+3]) +
coef4*(A[t%2][i-4][j ][k ] + A[t%2][i+4][j ][k ] +
A[t%2][i ][j-4][k ] + A[t%2][i ][j+4][k ] +
A[t%2][i ][j ][k-4] + A[t%2][i ][j ][k+4]) );
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = MIN(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
free(roc2[i][j]);
}
free(A[0][i]);
free(A[1][i]);
free(roc2[i]);
}
free(A[0]);
free(A[1]);
free(roc2);
return 0;
}
|
dotProduct.h | #pragma once
#include <algorithm>
#include <omp.h>
#include "_cuda.h"
#include "ceilDiv.h"
#include "sum.h"
using std::vector;
using std::max;
// DOT-PRODUCT
// -----------
template <class T>
auto dotProduct(T *x, T *y, int N) {
T a = T();
for (int i=0; i<N; i++)
a += x[i] * y[i];
return a;
}
template <class C>
auto dotProduct(C& x, C& y) {
return dotProduct(x.data(), y.data(), x.size());
}
// DOT-PRODUCT (OMP)
// -----------------
template <class T>
auto dotProductOmp(T *x, T *y, int N) {
T a = T();
#pragma omp parallel for reduction (+:a)
for (int i=0; i<N; i++)
a += x[i] * y[i];
return a;
}
template <class C>
auto dotProductOmp(C& x, C& y) {
return dotProductOmp(x.data(), y.data(), x.size());
}
// DOT-PRODUCT (CUDA)
// ------------------
template <class T>
__device__ T dotProductKernelLoop(T *x, T *y, int N, int i, int DI) {
T a = T();
for (; i<N; i+=DI)
a += x[i] * y[i];
return a;
}
template <class T>
__global__ void dotProductKernel(T *a, T *x, T *y, int N) {
DEFINE(t, b, B, G);
__shared__ T cache[BLOCK_DIM];
cache[t] = dotProductKernelLoop(x, y, N, B*b+t, G*B);
sumKernelReduce(cache, B, t);
if (t == 0) a[b] = cache[0];
}
template <class T>
auto dotProductCuda(T *x, T *y, int N) {
int B = BLOCK_DIM;
int G = min(ceilDiv(N, B), GRID_DIM);
size_t N1 = N * sizeof(T);
size_t G1 = G * sizeof(T);
T a[GRID_DIM];
T *xD, *yD, *aD;
TRY( cudaMalloc(&xD, N1) );
TRY( cudaMalloc(&yD, N1) );
TRY( cudaMalloc(&aD, G1) );
TRY( cudaMemcpy(xD, x, N1, cudaMemcpyHostToDevice) );
TRY( cudaMemcpy(yD, y, N1, cudaMemcpyHostToDevice) );
dotProductKernel<<<G, B>>>(aD, xD, yD, N);
TRY( cudaMemcpy(a, aD, G1, cudaMemcpyDeviceToHost) );
TRY( cudaFree(yD) );
TRY( cudaFree(xD) );
TRY( cudaFree(aD) );
return sum(a, G);
}
template <class C>
auto dotProductCuda(C& x, C& y) {
return dotProductCuda(x.data(), y.data(), x.size());
}
// DOT-PRODUCT-AT (CUDA)
// ---------------------
template <class T>
__device__ T dotProductAtKernelLoop(T *x, T *y, int *is, int N, int i, int DI) {
T a = T();
for (; i<N; i+=DI)
a += x[is[i]] * y[is[i]];
return a;
}
|
ejercicio7.c | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <omp.h>
//#define PRINTF_ALL
main(int argc, char **argv)
{
if(argc < 4) {
fprintf(stderr,"Falta fila y columna\n");
exit(-1);
}
omp_set_num_threads(16);
omp_set_dynamic(0);
struct timespec cgt1,cgt2; double ncgt; //para tiempo de ejecución
int i,k, n = atoi(argv[1]);
int kind = atoi(argv[2]);
int chunk=atoi(argv[3]);
omp_set_schedule(kind, chunk);
double *v1,*v2;
v1 = (double*)malloc(n*sizeof(double));
v2 = (double*)malloc(n*sizeof(double));
double sumalocal=0;
double **m;
m = (double**)malloc(n*sizeof(double*));
//Inicializo v1 y reservo el espacio para la matriz
#pragma omp parallel for
for(i=0;i<n;++i){
m[i]=(double*)malloc(n*sizeof(double));
v1[i]=2;
}
//Inicializo la matriz
#pragma omp parallel private(k)
{
#pragma omp for
for (i=0; i<n; i++)
for(k=0;k<n;++k)
if(k<i+1)
m[i][k]=2;
else
m[i][k]=0;
}
//Calculo la multiplicacion de la matriz por el vector y obtengo el tiempo
clock_gettime(CLOCK_REALTIME,&cgt1);
#pragma omp parallel private(k,sumalocal)
{
sumalocal=0;
#pragma omp for
for (i=0; i<n; i++){
for(k=0;k<i+1;++k)
sumalocal+=m[i][k]*v1[k];
#pragma omp critical
{
v2[i]=sumalocal;
sumalocal=0;
}
}
}
clock_gettime(CLOCK_REALTIME,&cgt2);
ncgt=(double) (cgt2.tv_sec-cgt1.tv_sec)+(double) ((cgt2.tv_nsec-cgt1.tv_nsec)/(1.e+9));
//Imprimo los resultados
#ifdef PRINTF_ALL
printf("Tiempo(seg.):%11.9f\t / Tamaño Vectores:%u\n",ncgt,n);
for (i=0; i<n; i++){
for(k=0;k<i+1;++k){
printf("/ m[%d][%d]*V1[%d] (%8.6f*%8.6f)+ ",i,k,k,m[i][k],v1[k]);
}
printf("=v2[%i] =%8.6f/ \n",i,v2[i]);
}
#else
printf("Tiempo(seg.):%11.9f\t / Tamaño Vectores:%u\t/ m[0][0]*V1[0]=V2[0](%8.6f+%8.6f=%8.6f) // m[%d][%d]*V1[%d]=V2[%d](%8.6f+%8.6f=%8.6f) /\n", ncgt,n,m[0][0],v1[0],v2[0],n-1,n-1,n-1,n-1,m[n-1][n-1],v1[n-1],v2[n-1]);
#endif
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); // libera el espacio reservado para m
}
|
visual-effects.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% V V IIIII SSSSS U U AAA L %
% V V I SS U U A A L %
% V V I SSS U U AAAAA L %
% V V I SS U U A A L %
% V IIIII SSSSS UUU A A LLLLL %
% %
% EEEEE FFFFF FFFFF EEEEE CCCC TTTTT SSSSS %
% E F F E C T SS %
% EEE FFF FFF EEE C T SSS %
% E F F E C T SS %
% EEEEE F F EEEEE CCCC T SSSSS %
% %
% %
% MagickCore Image Special Effects Methods %
% %
% Software Design %
% Cristy %
% October 1996 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/accelerate-private.h"
#include "magick/annotate.h"
#include "magick/artifact.h"
#include "magick/attribute.h"
#include "magick/cache.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/decorate.h"
#include "magick/distort.h"
#include "magick/draw.h"
#include "magick/effect.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/layer.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/memory-private.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/opencl-private.h"
#include "magick/option.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantum.h"
#include "magick/quantum-private.h"
#include "magick/random_.h"
#include "magick/random-private.h"
#include "magick/resample.h"
#include "magick/resample-private.h"
#include "magick/resize.h"
#include "magick/resource_.h"
#include "magick/splay-tree.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/thread-private.h"
#include "magick/threshold.h"
#include "magick/transform.h"
#include "magick/utility.h"
#include "magick/visual-effects.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d d N o i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AddNoiseImage() adds random noise to the image.
%
% The format of the AddNoiseImage method is:
%
% Image *AddNoiseImage(const Image *image,const NoiseType noise_type,
% ExceptionInfo *exception)
% Image *AddNoiseImageChannel(const Image *image,const ChannelType channel,
% const NoiseType noise_type,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o noise_type: The type of noise: Uniform, Gaussian, Multiplicative,
% Impulse, Laplacian, or Poisson.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AddNoiseImage(const Image *image,const NoiseType noise_type,
ExceptionInfo *exception)
{
Image
*noise_image;
noise_image=AddNoiseImageChannel(image,DefaultChannels,noise_type,exception);
return(noise_image);
}
MagickExport Image *AddNoiseImageChannel(const Image *image,
const ChannelType channel,const NoiseType noise_type,ExceptionInfo *exception)
{
#define AddNoiseImageTag "AddNoise/Image"
CacheView
*image_view,
*noise_view;
const char
*option;
double
attenuate;
Image
*noise_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
/*
Initialize noise 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);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
noise_image=AccelerateAddNoiseImage(image,channel,noise_type,exception);
if (noise_image != (Image *) NULL)
return(noise_image);
#endif
noise_image=CloneImage(image,0,0,MagickTrue,exception);
if (noise_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(noise_image,DirectClass) == MagickFalse)
{
InheritException(exception,&noise_image->exception);
noise_image=DestroyImage(noise_image);
return((Image *) NULL);
}
/*
Add noise in each row.
*/
attenuate=1.0;
option=GetImageArtifact(image,"attenuate");
if (option != (char *) NULL)
attenuate=StringToDouble(option,(char **) NULL);
status=MagickTrue;
progress=0;
random_info=AcquireRandomInfoThreadSet();
image_view=AcquireVirtualCacheView(image,exception);
noise_view=AcquireAuthenticCacheView(noise_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,noise_image,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
IndexPacket
*magick_restrict noise_indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewAuthenticPixels(noise_view,0,y,noise_image->columns,1,
exception);
if ((p == (PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
noise_indexes=GetCacheViewAuthenticIndexQueue(noise_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(GenerateDifferentialNoise(random_info[id],
GetPixelRed(p),noise_type,attenuate)));
if (IsGrayColorspace(image->colorspace) != MagickFalse)
{
SetPixelGreen(q,GetPixelRed(q));
SetPixelBlue(q,GetPixelRed(q));
}
else
{
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(GenerateDifferentialNoise(
random_info[id],GetPixelGreen(p),noise_type,attenuate)));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(GenerateDifferentialNoise(
random_info[id],GetPixelBlue(p),noise_type,attenuate)));
}
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(GenerateDifferentialNoise(
random_info[id],GetPixelOpacity(p),noise_type,attenuate)));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(noise_indexes+x,ClampToQuantum(
GenerateDifferentialNoise(random_info[id],GetPixelIndex(
indexes+x),noise_type,attenuate)));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(noise_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,AddNoiseImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
noise_view=DestroyCacheView(noise_view);
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
noise_image=DestroyImage(noise_image);
return(noise_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B l u e S h i f t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BlueShiftImage() mutes the colors of the image to simulate a scene at
% nighttime in the moonlight.
%
% The format of the BlueShiftImage method is:
%
% Image *BlueShiftImage(const Image *image,const double factor,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o factor: the shift factor.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *BlueShiftImage(const Image *image,const double factor,
ExceptionInfo *exception)
{
#define BlueShiftImageTag "BlueShift/Image"
CacheView
*image_view,
*shift_view;
Image
*shift_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Allocate blue shift image.
*/
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);
shift_image=CloneImage(image,0,0,MagickTrue,exception);
if (shift_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(shift_image,DirectClass) == MagickFalse)
{
InheritException(exception,&shift_image->exception);
shift_image=DestroyImage(shift_image);
return((Image *) NULL);
}
/*
Blue-shift DirectClass image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
shift_view=AcquireAuthenticCacheView(shift_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,shift_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel;
Quantum
quantum;
const PixelPacket
*magick_restrict p;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(shift_view,0,y,shift_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
quantum=GetPixelRed(p);
if (GetPixelGreen(p) < quantum)
quantum=GetPixelGreen(p);
if (GetPixelBlue(p) < quantum)
quantum=GetPixelBlue(p);
pixel.red=0.5*(GetPixelRed(p)+factor*quantum);
pixel.green=0.5*(GetPixelGreen(p)+factor*quantum);
pixel.blue=0.5*(GetPixelBlue(p)+factor*quantum);
quantum=GetPixelRed(p);
if (GetPixelGreen(p) > quantum)
quantum=GetPixelGreen(p);
if (GetPixelBlue(p) > quantum)
quantum=GetPixelBlue(p);
pixel.red=0.5*(pixel.red+factor*quantum);
pixel.green=0.5*(pixel.green+factor*quantum);
pixel.blue=0.5*(pixel.blue+factor*quantum);
SetPixelRed(q,ClampToQuantum(pixel.red));
SetPixelGreen(q,ClampToQuantum(pixel.green));
SetPixelBlue(q,ClampToQuantum(pixel.blue));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(shift_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,BlueShiftImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
shift_view=DestroyCacheView(shift_view);
if (status == MagickFalse)
shift_image=DestroyImage(shift_image);
return(shift_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h a r c o a l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CharcoalImage() creates a new image that is a copy of an existing one with
% the edge highlighted. It allocates the memory necessary for the new Image
% structure and returns a pointer to the new image.
%
% The format of the CharcoalImage method is:
%
% Image *CharcoalImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CharcoalImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*charcoal_image,
*edge_image;
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
edge_image=EdgeImage(image,radius,exception);
if (edge_image == (Image *) NULL)
return((Image *) NULL);
charcoal_image=(Image *) NULL;
status=ClampImage(edge_image);
if (status != MagickFalse)
charcoal_image=BlurImage(edge_image,radius,sigma,exception);
edge_image=DestroyImage(edge_image);
if (charcoal_image == (Image *) NULL)
return((Image *) NULL);
status=NormalizeImage(charcoal_image);
if (status != MagickFalse)
status=NegateImage(charcoal_image,MagickFalse);
if (status != MagickFalse)
status=GrayscaleImage(charcoal_image,image->intensity);
if (status == MagickFalse)
charcoal_image=DestroyImage(charcoal_image);
return(charcoal_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorizeImage() blends the fill color with each pixel in the image.
% A percentage blend is specified with opacity. Control the application
% of different color components by specifying a different percentage for
% each component (e.g. 90/100/10 is 90% red, 100% green, and 10% blue).
%
% The format of the ColorizeImage method is:
%
% Image *ColorizeImage(const Image *image,const char *opacity,
% const PixelPacket colorize,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: A character string indicating the level of opacity as a
% percentage.
%
% o colorize: A color value.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ColorizeImage(const Image *image,const char *opacity,
const PixelPacket colorize,ExceptionInfo *exception)
{
#define ColorizeImageTag "Colorize/Image"
CacheView
*colorize_view,
*image_view;
GeometryInfo
geometry_info;
Image
*colorize_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
pixel;
MagickStatusType
flags;
ssize_t
y;
/*
Allocate colorized image.
*/
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);
colorize_image=CloneImage(image,0,0,MagickTrue,exception);
if (colorize_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(colorize_image,DirectClass) == MagickFalse)
{
InheritException(exception,&colorize_image->exception);
colorize_image=DestroyImage(colorize_image);
return((Image *) NULL);
}
if ((IsGrayColorspace(image->colorspace) != MagickFalse) ||
(IsPixelGray(&colorize) != MagickFalse))
(void) SetImageColorspace(colorize_image,sRGBColorspace);
if ((colorize_image->matte == MagickFalse) &&
(colorize.opacity != OpaqueOpacity))
(void) SetImageAlphaChannel(colorize_image,OpaqueAlphaChannel);
if (opacity == (const char *) NULL)
return(colorize_image);
/*
Determine RGB values of the pen color.
*/
flags=ParseGeometry(opacity,&geometry_info);
pixel.red=geometry_info.rho;
pixel.green=geometry_info.rho;
pixel.blue=geometry_info.rho;
pixel.opacity=(MagickRealType) OpaqueOpacity;
if ((flags & SigmaValue) != 0)
pixel.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
pixel.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
pixel.opacity=geometry_info.psi;
/*
Colorize DirectClass image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
colorize_view=AcquireAuthenticCacheView(colorize_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,colorize_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
const PixelPacket
*magick_restrict p;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(colorize_view,0,y,colorize_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,((GetPixelRed(p)*(100.0-pixel.red)+
colorize.red*pixel.red)/100.0));
SetPixelGreen(q,((GetPixelGreen(p)*(100.0-pixel.green)+
colorize.green*pixel.green)/100.0));
SetPixelBlue(q,((GetPixelBlue(p)*(100.0-pixel.blue)+
colorize.blue*pixel.blue)/100.0));
if (colorize_image->matte == MagickFalse)
SetPixelOpacity(q,GetPixelOpacity(p));
else
SetPixelOpacity(q,((GetPixelOpacity(p)*(100.0-pixel.opacity)+
colorize.opacity*pixel.opacity)/100.0));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(colorize_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ColorizeImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
colorize_view=DestroyCacheView(colorize_view);
if (status == MagickFalse)
colorize_image=DestroyImage(colorize_image);
return(colorize_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r M a t r i x I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorMatrixImage() applies color transformation to an image. This method
% permits saturation changes, hue rotation, luminance to alpha, and various
% other effects. Although variable-sized transformation matrices can be used,
% typically one uses a 5x5 matrix for an RGBA image and a 6x6 for CMYKA
% (or RGBA with offsets). The matrix is similar to those used by Adobe Flash
% except offsets are in column 6 rather than 5 (in support of CMYKA images)
% and offsets are normalized (divide Flash offset by 255).
%
% The format of the ColorMatrixImage method is:
%
% Image *ColorMatrixImage(const Image *image,
% const KernelInfo *color_matrix,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o color_matrix: the color matrix.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ColorMatrixImage(const Image *image,
const KernelInfo *color_matrix,ExceptionInfo *exception)
{
#define ColorMatrixImageTag "ColorMatrix/Image"
CacheView
*color_view,
*image_view;
double
ColorMatrix[6][6] =
{
{ 1.0, 0.0, 0.0, 0.0, 0.0, 0.0 },
{ 0.0, 1.0, 0.0, 0.0, 0.0, 0.0 },
{ 0.0, 0.0, 1.0, 0.0, 0.0, 0.0 },
{ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0 },
{ 0.0, 0.0, 0.0, 0.0, 1.0, 0.0 },
{ 0.0, 0.0, 0.0, 0.0, 0.0, 1.0 }
};
Image
*color_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
i;
ssize_t
u,
v,
y;
/*
Create color matrix.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
i=0;
for (v=0; v < (ssize_t) color_matrix->height; v++)
for (u=0; u < (ssize_t) color_matrix->width; u++)
{
if ((v < 6) && (u < 6))
ColorMatrix[v][u]=color_matrix->values[i];
i++;
}
/*
Initialize color image.
*/
color_image=CloneImage(image,0,0,MagickTrue,exception);
if (color_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(color_image,DirectClass) == MagickFalse)
{
InheritException(exception,&color_image->exception);
color_image=DestroyImage(color_image);
return((Image *) NULL);
}
if (image->debug != MagickFalse)
{
char
format[MaxTextExtent],
*message;
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" ColorMatrix image with color matrix:");
message=AcquireString("");
for (v=0; v < 6; v++)
{
*message='\0';
(void) FormatLocaleString(format,MaxTextExtent,"%.20g: ",(double) v);
(void) ConcatenateString(&message,format);
for (u=0; u < 6; u++)
{
(void) FormatLocaleString(format,MaxTextExtent,"%+f ",
ColorMatrix[v][u]);
(void) ConcatenateString(&message,format);
}
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"%s",message);
}
message=DestroyString(message);
}
/*
ColorMatrix image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
color_view=AcquireAuthenticCacheView(color_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,color_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickRealType
pixel;
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
ssize_t
x;
IndexPacket
*magick_restrict color_indexes;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewAuthenticPixels(color_view,0,y,color_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
color_indexes=GetCacheViewAuthenticIndexQueue(color_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
v;
size_t
height;
height=color_matrix->height > 6 ? 6UL : color_matrix->height;
for (v=0; v < (ssize_t) height; v++)
{
pixel=ColorMatrix[v][0]*GetPixelRed(p)+ColorMatrix[v][1]*
GetPixelGreen(p)+ColorMatrix[v][2]*GetPixelBlue(p);
if (image->matte != MagickFalse)
pixel+=ColorMatrix[v][3]*(QuantumRange-GetPixelOpacity(p));
if (image->colorspace == CMYKColorspace)
pixel+=ColorMatrix[v][4]*GetPixelIndex(indexes+x);
pixel+=QuantumRange*ColorMatrix[v][5];
switch (v)
{
case 0: SetPixelRed(q,ClampToQuantum(pixel)); break;
case 1: SetPixelGreen(q,ClampToQuantum(pixel)); break;
case 2: SetPixelBlue(q,ClampToQuantum(pixel)); break;
case 3:
{
if (image->matte != MagickFalse)
SetPixelAlpha(q,ClampToQuantum(pixel));
break;
}
case 4:
{
if (image->colorspace == CMYKColorspace)
SetPixelIndex(color_indexes+x,ClampToQuantum(pixel));
break;
}
}
}
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(color_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,ColorMatrixImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
color_view=DestroyCacheView(color_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
color_image=DestroyImage(color_image);
return(color_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I m p l o d e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ImplodeImage() creates a new image that is a copy of an existing
% one with the image pixels "implode" by the specified percentage. It
% allocates the memory necessary for the new Image structure and returns a
% pointer to the new image.
%
% The format of the ImplodeImage method is:
%
% Image *ImplodeImage(const Image *image,const double amount,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o implode_image: Method ImplodeImage returns a pointer to the image
% after it is implode. A null image is returned if there is a memory
% shortage.
%
% o image: the image.
%
% o amount: Define the extent of the implosion.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ImplodeImage(const Image *image,const double amount,
ExceptionInfo *exception)
{
#define ImplodeImageTag "Implode/Image"
CacheView
*image_view,
*implode_view;
double
radius;
Image
*implode_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
PointInfo
center,
scale;
ssize_t
y;
/*
Initialize implode image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
implode_image=CloneImage(image,0,0,MagickTrue,exception);
if (implode_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(implode_image,DirectClass) == MagickFalse)
{
InheritException(exception,&implode_image->exception);
implode_image=DestroyImage(implode_image);
return((Image *) NULL);
}
if (implode_image->background_color.opacity != OpaqueOpacity)
implode_image->matte=MagickTrue;
/*
Compute scaling factor.
*/
scale.x=1.0;
scale.y=1.0;
center.x=0.5*image->columns;
center.y=0.5*image->rows;
radius=center.x;
if (image->columns > image->rows)
scale.y=(double) image->columns*PerceptibleReciprocal((double)
image->rows);
else
if (image->columns < image->rows)
{
scale.x=(double) image->rows*PerceptibleReciprocal((double)
image->columns);
radius=center.y;
}
/*
Implode image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(implode_image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
implode_view=AcquireAuthenticCacheView(implode_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,implode_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
distance;
MagickPixelPacket
pixel;
PointInfo
delta;
IndexPacket
*magick_restrict implode_indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(implode_view,0,y,implode_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
implode_indexes=GetCacheViewAuthenticIndexQueue(implode_view);
delta.y=scale.y*(double) (y-center.y);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
/*
Determine if the pixel is within an ellipse.
*/
delta.x=scale.x*(double) (x-center.x);
distance=delta.x*delta.x+delta.y*delta.y;
if (distance < (radius*radius))
{
double
factor;
/*
Implode the pixel.
*/
factor=1.0;
if (distance > 0.0)
factor=pow(sin((double) (MagickPI*sqrt((double) distance)/
radius/2)),-amount);
status=InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) (factor*delta.x/scale.x+
center.x),(double) (factor*delta.y/scale.y+center.y),&pixel,
exception);
if (status == MagickFalse)
break;
SetPixelPacket(implode_image,&pixel,q,implode_indexes+x);
}
q++;
}
if (SyncCacheViewAuthenticPixels(implode_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,ImplodeImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
implode_view=DestroyCacheView(implode_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
implode_image=DestroyImage(implode_image);
return(implode_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o r p h I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% The MorphImages() method requires a minimum of two images. The first
% image is transformed into the second by a number of intervening images
% as specified by frames.
%
% The format of the MorphImage method is:
%
% Image *MorphImages(const Image *image,const size_t number_frames,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o number_frames: Define the number of in-between image to generate.
% The more in-between frames, the smoother the morph.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MorphImages(const Image *image,
const size_t number_frames,ExceptionInfo *exception)
{
#define MorphImageTag "Morph/Image"
double
alpha,
beta;
Image
*morph_image,
*morph_images;
MagickBooleanType
status;
MagickOffsetType
scene;
const Image
*next;
ssize_t
i;
ssize_t
y;
/*
Clone first frame in sequence.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
morph_images=CloneImage(image,0,0,MagickTrue,exception);
if (morph_images == (Image *) NULL)
return((Image *) NULL);
if (GetNextImageInList(image) == (Image *) NULL)
{
/*
Morph single image.
*/
for (i=1; i < (ssize_t) number_frames; i++)
{
morph_image=CloneImage(image,0,0,MagickTrue,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
AppendImageToList(&morph_images,morph_image);
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,MorphImageTag,(MagickOffsetType) i,
number_frames);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(GetFirstImageInList(morph_images));
}
/*
Morph image sequence.
*/
status=MagickTrue;
scene=0;
next=image;
for ( ; GetNextImageInList(next) != (Image *) NULL; next=GetNextImageInList(next))
{
for (i=0; i < (ssize_t) number_frames; i++)
{
CacheView
*image_view,
*morph_view;
beta=(double) (i+1.0)/(double) (number_frames+1.0);
alpha=1.0-beta;
morph_image=ResizeImage(next,(size_t) (alpha*next->columns+beta*
GetNextImageInList(next)->columns+0.5),(size_t) (alpha*
next->rows+beta*GetNextImageInList(next)->rows+0.5),
next->filter,next->blur,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
if (SetImageStorageClass(morph_image,DirectClass) == MagickFalse)
{
InheritException(exception,&morph_image->exception);
morph_image=DestroyImage(morph_image);
return((Image *) NULL);
}
AppendImageToList(&morph_images,morph_image);
morph_images=GetLastImageInList(morph_images);
morph_image=ResizeImage(GetNextImageInList(next),morph_images->columns,
morph_images->rows,GetNextImageInList(next)->filter,
GetNextImageInList(next)->blur,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
image_view=AcquireVirtualCacheView(morph_image,exception);
morph_view=AcquireAuthenticCacheView(morph_images,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(morph_image,morph_image,morph_image->rows,1)
#endif
for (y=0; y < (ssize_t) morph_images->rows; y++)
{
MagickBooleanType
sync;
const PixelPacket
*magick_restrict p;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,morph_image->columns,1,
exception);
q=GetCacheViewAuthenticPixels(morph_view,0,y,morph_images->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) morph_images->columns; x++)
{
SetPixelRed(q,ClampToQuantum(alpha*
GetPixelRed(q)+beta*GetPixelRed(p)));
SetPixelGreen(q,ClampToQuantum(alpha*
GetPixelGreen(q)+beta*GetPixelGreen(p)));
SetPixelBlue(q,ClampToQuantum(alpha*
GetPixelBlue(q)+beta*GetPixelBlue(p)));
SetPixelOpacity(q,ClampToQuantum(alpha*
GetPixelOpacity(q)+beta*GetPixelOpacity(p)));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(morph_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
morph_view=DestroyCacheView(morph_view);
image_view=DestroyCacheView(image_view);
morph_image=DestroyImage(morph_image);
}
if (i < (ssize_t) number_frames)
break;
/*
Clone last frame in sequence.
*/
morph_image=CloneImage(GetNextImageInList(next),0,0,MagickTrue,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
AppendImageToList(&morph_images,morph_image);
morph_images=GetLastImageInList(morph_images);
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,MorphImageTag,scene,
GetImageListLength(image));
if (proceed == MagickFalse)
status=MagickFalse;
}
scene++;
}
if (GetNextImageInList(next) != (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
return(GetFirstImageInList(morph_images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P l a s m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PlasmaImage() initializes an image with plasma fractal values. The image
% must be initialized with a base color and the random number generator
% seeded before this method is called.
%
% The format of the PlasmaImage method is:
%
% MagickBooleanType PlasmaImage(Image *image,const SegmentInfo *segment,
% size_t attenuate,size_t depth)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o segment: Define the region to apply plasma fractals values.
%
% o attenuate: Define the plasma attenuation factor.
%
% o depth: Limit the plasma recursion depth.
%
*/
static inline Quantum PlasmaPixel(RandomInfo *magick_restrict random_info,
const MagickRealType pixel,const double noise)
{
MagickRealType
plasma;
plasma=pixel+noise*GetPseudoRandomValue(random_info)-noise/2.0;
return(ClampToQuantum(plasma));
}
MagickExport MagickBooleanType PlasmaImageProxy(Image *image,
CacheView *image_view,CacheView *u_view,CacheView *v_view,
RandomInfo *magick_restrict random_info,
const SegmentInfo *magick_restrict segment,size_t attenuate,size_t depth)
{
ExceptionInfo
*exception;
double
plasma;
MagickStatusType
status;
PixelPacket
u,
v;
ssize_t
x,
x_mid,
y,
y_mid;
if ((fabs(segment->x2-segment->x1) < MagickEpsilon) &&
(fabs(segment->y2-segment->y1) < MagickEpsilon))
return(MagickTrue);
if (depth != 0)
{
SegmentInfo
local_info;
/*
Divide the area into quadrants and recurse.
*/
depth--;
attenuate++;
x_mid=CastDoubleToLong(ceil((segment->x1+segment->x2)/2-0.5));
y_mid=CastDoubleToLong(ceil((segment->y1+segment->y2)/2-0.5));
local_info=(*segment);
local_info.x2=(double) x_mid;
local_info.y2=(double) y_mid;
status=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
local_info=(*segment);
local_info.y1=(double) y_mid;
local_info.x2=(double) x_mid;
status&=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
local_info=(*segment);
local_info.x1=(double) x_mid;
local_info.y2=(double) y_mid;
status&=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
local_info=(*segment);
local_info.x1=(double) x_mid;
local_info.y1=(double) y_mid;
status&=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
return(status == 0 ? MagickFalse : MagickTrue);
}
x_mid=CastDoubleToLong(ceil((segment->x1+segment->x2)/2-0.5));
y_mid=CastDoubleToLong(ceil((segment->y1+segment->y2)/2-0.5));
if ((fabs(segment->x1-x_mid) < MagickEpsilon) &&
(fabs(segment->x2-x_mid) < MagickEpsilon) &&
(fabs(segment->y1-y_mid) < MagickEpsilon) &&
(fabs(segment->y2-y_mid) < MagickEpsilon))
return(MagickFalse);
/*
Average pixels and apply plasma.
*/
status=MagickTrue;
exception=(&image->exception);
plasma=(double) QuantumRange/(2.0*attenuate);
if ((fabs(segment->x1-x_mid) >= MagickEpsilon) ||
(fabs(segment->x2-x_mid) >= MagickEpsilon))
{
PixelPacket
*magick_restrict q;
/*
Left pixel.
*/
x=CastDoubleToLong(ceil(segment->x1-0.5));
(void) GetOneCacheViewVirtualPixel(u_view,x,CastDoubleToLong(ceil(
segment->y1-0.5)),&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,x,CastDoubleToLong(ceil(
segment->y2-0.5)),&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x,y_mid,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,((MagickRealType) u.red+
v.red)/2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,((MagickRealType) u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,((MagickRealType) u.blue+
v.blue)/2.0,plasma));
status=SyncCacheViewAuthenticPixels(image_view,exception);
if (fabs(segment->x1-segment->x2) >= MagickEpsilon)
{
/*
Right pixel.
*/
x=CastDoubleToLong(ceil(segment->x2-0.5));
(void) GetOneCacheViewVirtualPixel(u_view,x,CastDoubleToLong(ceil(
segment->y1-0.5)),&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,x,CastDoubleToLong(ceil(
segment->y2-0.5)),&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x,y_mid,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickFalse);
SetPixelRed(q,PlasmaPixel(random_info,((MagickRealType) u.red+
v.red)/2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,((MagickRealType) u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,((MagickRealType) u.blue+
v.blue)/2.0,plasma));
status=SyncCacheViewAuthenticPixels(image_view,exception);
}
}
if ((fabs(segment->y1-y_mid) >= MagickEpsilon) ||
(fabs(segment->y2-y_mid) >= MagickEpsilon))
{
if ((fabs(segment->x1-x_mid) >= MagickEpsilon) ||
(fabs(segment->y2-y_mid) >= MagickEpsilon))
{
PixelPacket
*magick_restrict q;
/*
Bottom pixel.
*/
y=CastDoubleToLong(ceil(segment->y2-0.5));
(void) GetOneCacheViewVirtualPixel(u_view,CastDoubleToLong(ceil(
segment->x1-0.5)),y,&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,CastDoubleToLong(ceil(
segment->x2-0.5)),y,&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,((MagickRealType) u.red+
v.red)/2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,((MagickRealType) u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,((MagickRealType) u.blue+
v.blue)/2.0,plasma));
status=SyncCacheViewAuthenticPixels(image_view,exception);
}
if (fabs(segment->y1-segment->y2) >= MagickEpsilon)
{
PixelPacket
*magick_restrict q;
/*
Top pixel.
*/
y=CastDoubleToLong(ceil(segment->y1-0.5));
(void) GetOneCacheViewVirtualPixel(u_view,CastDoubleToLong(ceil(
segment->x1-0.5)),y,&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,CastDoubleToLong(ceil(
segment->x2-0.5)),y,&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,((MagickRealType) u.red+
v.red)/2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,((MagickRealType) u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,((MagickRealType) u.blue+
v.blue)/2.0,plasma));
status=SyncCacheViewAuthenticPixels(image_view,exception);
}
}
if ((fabs(segment->x1-segment->x2) >= MagickEpsilon) ||
(fabs(segment->y1-segment->y2) >= MagickEpsilon))
{
PixelPacket
*magick_restrict q;
/*
Middle pixel.
*/
x=CastDoubleToLong(ceil(segment->x1-0.5));
y=CastDoubleToLong(ceil(segment->y1-0.5));
(void) GetOneCacheViewVirtualPixel(u_view,x,y,&u,exception);
x=CastDoubleToLong(ceil(segment->x2-0.5));
y=CastDoubleToLong(ceil(segment->y2-0.5));
(void) GetOneCacheViewVirtualPixel(v_view,x,y,&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y_mid,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,((MagickRealType) u.red+
v.red)/2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,((MagickRealType) u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,((MagickRealType) u.blue+
v.blue)/2.0,plasma));
status=SyncCacheViewAuthenticPixels(image_view,exception);
}
if ((fabs(segment->x2-segment->x1) < 3.0) &&
(fabs(segment->y2-segment->y1) < 3.0))
return(status == 0 ? MagickFalse : MagickTrue);
return(MagickFalse);
}
MagickExport MagickBooleanType PlasmaImage(Image *image,
const SegmentInfo *segment,size_t attenuate,size_t depth)
{
CacheView
*image_view,
*u_view,
*v_view;
MagickBooleanType
status;
RandomInfo
*random_info;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
image_view=AcquireAuthenticCacheView(image,&image->exception);
u_view=AcquireVirtualCacheView(image,&image->exception);
v_view=AcquireVirtualCacheView(image,&image->exception);
random_info=AcquireRandomInfo();
status=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,segment,
attenuate,depth);
random_info=DestroyRandomInfo(random_info);
v_view=DestroyCacheView(v_view);
u_view=DestroyCacheView(u_view);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o l a r o i d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PolaroidImage() simulates a Polaroid picture.
%
% The format of the AnnotateImage method is:
%
% Image *PolaroidImage(const Image *image,const DrawInfo *draw_info,
% const double angle,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o draw_info: the draw info.
%
% o angle: Apply the effect along this angle.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PolaroidImage(const Image *image,const DrawInfo *draw_info,
const double angle,ExceptionInfo *exception)
{
const char
*value;
Image
*bend_image,
*caption_image,
*flop_image,
*picture_image,
*polaroid_image,
*rotate_image,
*trim_image;
size_t
height;
ssize_t
quantum;
/*
Simulate a Polaroid picture.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
quantum=(ssize_t) MagickMax(MagickMax((double) image->columns,(double)
image->rows)/25.0,10.0);
height=image->rows+2*quantum;
caption_image=(Image *) NULL;
value=GetImageProperty(image,"Caption");
if (value != (const char *) NULL)
{
char
*caption;
/*
Generate caption image.
*/
caption_image=CloneImage(image,image->columns,1,MagickTrue,exception);
if (caption_image == (Image *) NULL)
return((Image *) NULL);
caption=InterpretImageProperties((ImageInfo *) NULL,(Image *) image,
value);
if (caption != (char *) NULL)
{
char
geometry[MaxTextExtent];
DrawInfo
*annotate_info;
MagickBooleanType
status;
ssize_t
count;
TypeMetric
metrics;
annotate_info=CloneDrawInfo((const ImageInfo *) NULL,draw_info);
(void) CloneString(&annotate_info->text,caption);
count=FormatMagickCaption(caption_image,annotate_info,MagickTrue,
&metrics,&caption);
status=SetImageExtent(caption_image,image->columns,(size_t)
((count+1)*(metrics.ascent-metrics.descent)+0.5));
if (status == MagickFalse)
caption_image=DestroyImage(caption_image);
else
{
caption_image->background_color=image->border_color;
(void) SetImageBackgroundColor(caption_image);
(void) CloneString(&annotate_info->text,caption);
(void) FormatLocaleString(geometry,MaxTextExtent,"+0+%.20g",
metrics.ascent);
if (annotate_info->gravity == UndefinedGravity)
(void) CloneString(&annotate_info->geometry,AcquireString(
geometry));
(void) AnnotateImage(caption_image,annotate_info);
height+=caption_image->rows;
}
annotate_info=DestroyDrawInfo(annotate_info);
caption=DestroyString(caption);
}
}
picture_image=CloneImage(image,image->columns+2*quantum,height,MagickTrue,
exception);
if (picture_image == (Image *) NULL)
{
if (caption_image != (Image *) NULL)
caption_image=DestroyImage(caption_image);
return((Image *) NULL);
}
picture_image->background_color=image->border_color;
(void) SetImageBackgroundColor(picture_image);
(void) CompositeImage(picture_image,OverCompositeOp,image,quantum,quantum);
if (caption_image != (Image *) NULL)
{
(void) CompositeImage(picture_image,OverCompositeOp,caption_image,
quantum,(ssize_t) (image->rows+3*quantum/2));
caption_image=DestroyImage(caption_image);
}
(void) QueryColorDatabase("none",&picture_image->background_color,exception);
(void) SetImageAlphaChannel(picture_image,OpaqueAlphaChannel);
rotate_image=RotateImage(picture_image,90.0,exception);
picture_image=DestroyImage(picture_image);
if (rotate_image == (Image *) NULL)
return((Image *) NULL);
picture_image=rotate_image;
bend_image=WaveImage(picture_image,0.01*picture_image->rows,2.0*
picture_image->columns,exception);
picture_image=DestroyImage(picture_image);
if (bend_image == (Image *) NULL)
return((Image *) NULL);
InheritException(&bend_image->exception,exception);
picture_image=bend_image;
rotate_image=RotateImage(picture_image,-90.0,exception);
picture_image=DestroyImage(picture_image);
if (rotate_image == (Image *) NULL)
return((Image *) NULL);
picture_image=rotate_image;
picture_image->background_color=image->background_color;
polaroid_image=ShadowImage(picture_image,80.0,2.0,quantum/3,quantum/3,
exception);
if (polaroid_image == (Image *) NULL)
{
picture_image=DestroyImage(picture_image);
return(picture_image);
}
flop_image=FlopImage(polaroid_image,exception);
polaroid_image=DestroyImage(polaroid_image);
if (flop_image == (Image *) NULL)
{
picture_image=DestroyImage(picture_image);
return(picture_image);
}
polaroid_image=flop_image;
(void) CompositeImage(polaroid_image,OverCompositeOp,picture_image,
(ssize_t) (-0.01*picture_image->columns/2.0),0L);
picture_image=DestroyImage(picture_image);
(void) QueryColorDatabase("none",&polaroid_image->background_color,exception);
rotate_image=RotateImage(polaroid_image,angle,exception);
polaroid_image=DestroyImage(polaroid_image);
if (rotate_image == (Image *) NULL)
return((Image *) NULL);
polaroid_image=rotate_image;
trim_image=TrimImage(polaroid_image,exception);
polaroid_image=DestroyImage(polaroid_image);
if (trim_image == (Image *) NULL)
return((Image *) NULL);
polaroid_image=trim_image;
return(polaroid_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e p i a T o n e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MagickSepiaToneImage() applies a special effect to the image, similar to the
% effect achieved in a photo darkroom by sepia toning. Threshold ranges from
% 0 to QuantumRange and is a measure of the extent of the sepia toning. A
% threshold of 80% is a good starting point for a reasonable tone.
%
% The format of the SepiaToneImage method is:
%
% Image *SepiaToneImage(const Image *image,const double threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: the tone threshold.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SepiaToneImage(const Image *image,const double threshold,
ExceptionInfo *exception)
{
#define SepiaToneImageTag "SepiaTone/Image"
CacheView
*image_view,
*sepia_view;
Image
*sepia_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Initialize sepia-toned 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);
sepia_image=CloneImage(image,0,0,MagickTrue,exception);
if (sepia_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(sepia_image,DirectClass) == MagickFalse)
{
InheritException(exception,&sepia_image->exception);
sepia_image=DestroyImage(sepia_image);
return((Image *) NULL);
}
/*
Tone each row of the image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
sepia_view=AcquireAuthenticCacheView(sepia_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,sepia_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const PixelPacket
*magick_restrict p;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(sepia_view,0,y,sepia_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
intensity,
tone;
intensity=GetPixelIntensity(image,p);
tone=intensity > threshold ? (double) QuantumRange : intensity+
(double) QuantumRange-threshold;
SetPixelRed(q,ClampToQuantum(tone));
tone=intensity > (7.0*threshold/6.0) ? (double) QuantumRange :
intensity+(double) QuantumRange-7.0*threshold/6.0;
SetPixelGreen(q,ClampToQuantum(tone));
tone=intensity < (threshold/6.0) ? 0 : intensity-threshold/6.0;
SetPixelBlue(q,ClampToQuantum(tone));
tone=threshold/7.0;
if ((double) GetPixelGreen(q) < tone)
SetPixelGreen(q,ClampToQuantum(tone));
if ((double) GetPixelBlue(q) < tone)
SetPixelBlue(q,ClampToQuantum(tone));
SetPixelOpacity(q,GetPixelOpacity(p));
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(sepia_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,SepiaToneImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
sepia_view=DestroyCacheView(sepia_view);
image_view=DestroyCacheView(image_view);
(void) NormalizeImage(sepia_image);
(void) ContrastImage(sepia_image,MagickTrue);
if (status == MagickFalse)
sepia_image=DestroyImage(sepia_image);
return(sepia_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a d o w I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShadowImage() simulates a shadow from the specified image and returns it.
%
% The format of the ShadowImage method is:
%
% Image *ShadowImage(const Image *image,const double opacity,
% const double sigma,const ssize_t x_offset,const ssize_t y_offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: percentage transparency.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o x_offset: the shadow x-offset.
%
% o y_offset: the shadow y-offset.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ShadowImage(const Image *image,const double opacity,
const double sigma,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
#define ShadowImageTag "Shadow/Image"
CacheView
*image_view;
Image
*border_image,
*clone_image,
*shadow_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
border_info;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
clone_image=CloneImage(image,0,0,MagickTrue,exception);
if (clone_image == (Image *) NULL)
return((Image *) NULL);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(clone_image,sRGBColorspace);
(void) SetImageVirtualPixelMethod(clone_image,EdgeVirtualPixelMethod);
clone_image->compose=OverCompositeOp;
border_info.width=(size_t) floor(2.0*sigma+0.5);
border_info.height=(size_t) floor(2.0*sigma+0.5);
border_info.x=0;
border_info.y=0;
(void) QueryColorDatabase("none",&clone_image->border_color,exception);
border_image=BorderImage(clone_image,&border_info,exception);
clone_image=DestroyImage(clone_image);
if (border_image == (Image *) NULL)
return((Image *) NULL);
if (border_image->matte == MagickFalse)
(void) SetImageAlphaChannel(border_image,OpaqueAlphaChannel);
/*
Shadow image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(border_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(border_image,border_image,border_image->rows,1)
#endif
for (y=0; y < (ssize_t) border_image->rows; y++)
{
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,border_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) border_image->columns; x++)
{
SetPixelRed(q,border_image->background_color.red);
SetPixelGreen(q,border_image->background_color.green);
SetPixelBlue(q,border_image->background_color.blue);
if (border_image->matte == MagickFalse)
SetPixelOpacity(q,border_image->background_color.opacity);
else
SetPixelOpacity(q,ClampToQuantum((double) (QuantumRange-
GetPixelAlpha(q)*opacity/100.0)));
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,ShadowImageTag,progress,
border_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
shadow_image=BlurImageChannel(border_image,AlphaChannel,0.0,sigma,exception);
border_image=DestroyImage(border_image);
if (shadow_image == (Image *) NULL)
return((Image *) NULL);
if (shadow_image->page.width == 0)
shadow_image->page.width=shadow_image->columns;
if (shadow_image->page.height == 0)
shadow_image->page.height=shadow_image->rows;
shadow_image->page.width+=x_offset-(ssize_t) border_info.width;
shadow_image->page.height+=y_offset-(ssize_t) border_info.height;
shadow_image->page.x+=x_offset-(ssize_t) border_info.width;
shadow_image->page.y+=y_offset-(ssize_t) border_info.height;
return(shadow_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S k e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SketchImage() simulates a pencil sketch. We convolve the image with a
% Gaussian operator of the given radius and standard deviation (sigma). For
% reasonable results, radius should be larger than sigma. Use a radius of 0
% and SketchImage() selects a suitable radius for you. Angle gives the angle
% of the sketch.
%
% The format of the SketchImage method is:
%
% Image *SketchImage(const Image *image,const double radius,
% const double sigma,const double angle,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting
% the center pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o angle: Apply the effect along this angle.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SketchImage(const Image *image,const double radius,
const double sigma,const double angle,ExceptionInfo *exception)
{
CacheView
*random_view;
Image
*blend_image,
*blur_image,
*dodge_image,
*random_image,
*sketch_image;
MagickBooleanType
status;
MagickPixelPacket
zero;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
/*
Sketch image.
*/
random_image=CloneImage(image,image->columns << 1,image->rows << 1,
MagickTrue,exception);
if (random_image == (Image *) NULL)
return((Image *) NULL);
status=MagickTrue;
GetMagickPixelPacket(random_image,&zero);
random_info=AcquireRandomInfoThreadSet();
random_view=AcquireAuthenticCacheView(random_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(random_image,random_image,random_image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) random_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
MagickPixelPacket
pixel;
IndexPacket
*magick_restrict indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(random_view,0,y,random_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(random_view);
pixel=zero;
for (x=0; x < (ssize_t) random_image->columns; x++)
{
pixel.red=(MagickRealType) (QuantumRange*
GetPseudoRandomValue(random_info[id]));
pixel.green=pixel.red;
pixel.blue=pixel.red;
if (image->colorspace == CMYKColorspace)
pixel.index=pixel.red;
SetPixelPacket(random_image,&pixel,q,indexes+x);
q++;
}
if (SyncCacheViewAuthenticPixels(random_view,exception) == MagickFalse)
status=MagickFalse;
}
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
{
random_view=DestroyCacheView(random_view);
random_image=DestroyImage(random_image);
return(random_image);
}
random_view=DestroyCacheView(random_view);
blur_image=MotionBlurImage(random_image,radius,sigma,angle,exception);
random_image=DestroyImage(random_image);
if (blur_image == (Image *) NULL)
return((Image *) NULL);
dodge_image=EdgeImage(blur_image,radius,exception);
blur_image=DestroyImage(blur_image);
if (dodge_image == (Image *) NULL)
return((Image *) NULL);
status=ClampImage(dodge_image);
if (status != MagickFalse)
status=NormalizeImage(dodge_image);
if (status != MagickFalse)
status=NegateImage(dodge_image,MagickFalse);
if (status != MagickFalse)
status=TransformImage(&dodge_image,(char *) NULL,"50%");
sketch_image=CloneImage(image,0,0,MagickTrue,exception);
if (sketch_image == (Image *) NULL)
{
dodge_image=DestroyImage(dodge_image);
return((Image *) NULL);
}
(void) CompositeImage(sketch_image,ColorDodgeCompositeOp,dodge_image,0,0);
dodge_image=DestroyImage(dodge_image);
blend_image=CloneImage(image,0,0,MagickTrue,exception);
if (blend_image == (Image *) NULL)
{
sketch_image=DestroyImage(sketch_image);
return((Image *) NULL);
}
(void) SetImageArtifact(blend_image,"compose:args","20x80");
(void) CompositeImage(sketch_image,BlendCompositeOp,blend_image,0,0);
blend_image=DestroyImage(blend_image);
return(sketch_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S o l a r i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SolarizeImage() applies a special effect to the image, similar to the effect
% achieved in a photo darkroom by selectively exposing areas of photo
% sensitive paper to light. Threshold ranges from 0 to QuantumRange and is a
% measure of the extent of the solarization.
%
% The format of the SolarizeImage method is:
%
% MagickBooleanType SolarizeImage(Image *image,const double threshold)
% MagickBooleanType SolarizeImageChannel(Image *image,
% const ChannelType channel,const double threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o threshold: Define the extent of the solarization.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SolarizeImage(Image *image,
const double threshold)
{
MagickBooleanType
status;
status=SolarizeImageChannel(image,DefaultChannels,threshold,
&image->exception);
return(status);
}
MagickExport MagickBooleanType SolarizeImageChannel(Image *image,
const ChannelType channel,const double threshold,ExceptionInfo *exception)
{
#define SolarizeImageTag "Solarize/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace);
if (image->storage_class == PseudoClass)
{
ssize_t
i;
/*
Solarize colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((channel & RedChannel) != 0)
if ((double) image->colormap[i].red > threshold)
image->colormap[i].red=QuantumRange-image->colormap[i].red;
if ((channel & GreenChannel) != 0)
if ((double) image->colormap[i].green > threshold)
image->colormap[i].green=QuantumRange-image->colormap[i].green;
if ((channel & BlueChannel) != 0)
if ((double) image->colormap[i].blue > threshold)
image->colormap[i].blue=QuantumRange-image->colormap[i].blue;
}
}
/*
Solarize image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
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;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
if ((double) GetPixelRed(q) > threshold)
SetPixelRed(q,QuantumRange-GetPixelRed(q));
if ((channel & GreenChannel) != 0)
if ((double) GetPixelGreen(q) > threshold)
SetPixelGreen(q,QuantumRange-GetPixelGreen(q));
if ((channel & BlueChannel) != 0)
if ((double) GetPixelBlue(q) > threshold)
SetPixelBlue(q,QuantumRange-GetPixelBlue(q));
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,SolarizeImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t e g a n o I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SteganoImage() hides a digital watermark within the image. Recover
% the hidden watermark later to prove that the authenticity of an image.
% Offset defines the start position within the image to hide the watermark.
%
% The format of the SteganoImage method is:
%
% Image *SteganoImage(const Image *image,Image *watermark,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o watermark: the watermark image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SteganoImage(const Image *image,const Image *watermark,
ExceptionInfo *exception)
{
#define GetBit(alpha,i) ((((size_t) (alpha) >> (size_t) (i)) & 0x01) != 0)
#define SetBit(alpha,i,set) (alpha)=(Quantum) ((set) != 0 ? (size_t) (alpha) \
| (one << (size_t) (i)) : (size_t) (alpha) & ~(one << (size_t) (i)))
#define SteganoImageTag "Stegano/Image"
CacheView
*stegano_view,
*watermark_view;
Image
*stegano_image;
int
c;
MagickBooleanType
status;
PixelPacket
pixel;
PixelPacket
*q;
ssize_t
x;
size_t
depth,
one;
ssize_t
i,
j,
k,
y;
/*
Initialize steganographic image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(watermark != (const Image *) NULL);
assert(watermark->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
one=1UL;
stegano_image=CloneImage(image,0,0,MagickTrue,exception);
if (stegano_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(stegano_image,DirectClass) == MagickFalse)
{
InheritException(exception,&stegano_image->exception);
stegano_image=DestroyImage(stegano_image);
return((Image *) NULL);
}
stegano_image->depth=MAGICKCORE_QUANTUM_DEPTH;
/*
Hide watermark in low-order bits of image.
*/
c=0;
i=0;
j=0;
depth=stegano_image->depth;
k=image->offset;
status=MagickTrue;
watermark_view=AcquireVirtualCacheView(watermark,exception);
stegano_view=AcquireAuthenticCacheView(stegano_image,exception);
for (i=(ssize_t) depth-1; (i >= 0) && (j < (ssize_t) depth); i--)
{
for (y=0; (y < (ssize_t) watermark->rows) && (j < (ssize_t) depth); y++)
{
for (x=0; (x < (ssize_t) watermark->columns) && (j < (ssize_t) depth); x++)
{
(void) GetOneCacheViewVirtualPixel(watermark_view,x,y,&pixel,exception);
if ((k/(ssize_t) stegano_image->columns) >= (ssize_t) stegano_image->rows)
break;
q=GetCacheViewAuthenticPixels(stegano_view,k % (ssize_t)
stegano_image->columns,k/(ssize_t) stegano_image->columns,1,1,
exception);
if (q == (PixelPacket *) NULL)
break;
switch (c)
{
case 0:
{
SetBit(GetPixelRed(q),j,GetBit(ClampToQuantum(GetPixelIntensity(
image,&pixel)),i));
break;
}
case 1:
{
SetBit(GetPixelGreen(q),j,GetBit(ClampToQuantum(GetPixelIntensity(
image,&pixel)),i));
break;
}
case 2:
{
SetBit(GetPixelBlue(q),j,GetBit(ClampToQuantum(GetPixelIntensity(
image,&pixel)),i));
break;
}
}
if (SyncCacheViewAuthenticPixels(stegano_view,exception) == MagickFalse)
break;
c++;
if (c == 3)
c=0;
k++;
if (k == (ssize_t) (stegano_image->columns*stegano_image->columns))
k=0;
if (k == image->offset)
j++;
}
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SteganoImageTag,(MagickOffsetType)
(depth-i),depth);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
stegano_view=DestroyCacheView(stegano_view);
watermark_view=DestroyCacheView(watermark_view);
if (stegano_image->storage_class == PseudoClass)
(void) SyncImage(stegano_image);
if (status == MagickFalse)
stegano_image=DestroyImage(stegano_image);
return(stegano_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t e r e o A n a g l y p h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% StereoAnaglyphImage() combines two images and produces a single image that
% is the composite of a left and right image of a stereo pair. Special
% red-green stereo glasses are required to view this effect.
%
% The format of the StereoAnaglyphImage method is:
%
% Image *StereoImage(const Image *left_image,const Image *right_image,
% ExceptionInfo *exception)
% Image *StereoAnaglyphImage(const Image *left_image,
% const Image *right_image,const ssize_t x_offset,const ssize_t y_offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o left_image: the left image.
%
% o right_image: the right image.
%
% o exception: return any errors or warnings in this structure.
%
% o x_offset: amount, in pixels, by which the left image is offset to the
% right of the right image.
%
% o y_offset: amount, in pixels, by which the left image is offset to the
% bottom of the right image.
%
%
*/
MagickExport Image *StereoImage(const Image *left_image,
const Image *right_image,ExceptionInfo *exception)
{
return(StereoAnaglyphImage(left_image,right_image,0,0,exception));
}
MagickExport Image *StereoAnaglyphImage(const Image *left_image,
const Image *right_image,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
#define StereoImageTag "Stereo/Image"
const Image
*image;
Image
*stereo_image;
MagickBooleanType
status;
ssize_t
y;
assert(left_image != (const Image *) NULL);
assert(left_image->signature == MagickCoreSignature);
if (left_image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
left_image->filename);
assert(right_image != (const Image *) NULL);
assert(right_image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=left_image;
if ((left_image->columns != right_image->columns) ||
(left_image->rows != right_image->rows))
ThrowImageException(ImageError,"LeftAndRightImageSizesDiffer");
/*
Initialize stereo image attributes.
*/
stereo_image=CloneImage(left_image,left_image->columns,left_image->rows,
MagickTrue,exception);
if (stereo_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(stereo_image,DirectClass) == MagickFalse)
{
InheritException(exception,&stereo_image->exception);
stereo_image=DestroyImage(stereo_image);
return((Image *) NULL);
}
(void) SetImageColorspace(stereo_image,sRGBColorspace);
/*
Copy left image to red channel and right image to blue channel.
*/
status=MagickTrue;
for (y=0; y < (ssize_t) stereo_image->rows; y++)
{
const PixelPacket
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
PixelPacket
*magick_restrict r;
p=GetVirtualPixels(left_image,-x_offset,y-y_offset,image->columns,1,
exception);
q=GetVirtualPixels(right_image,0,y,right_image->columns,1,exception);
r=QueueAuthenticPixels(stereo_image,0,y,stereo_image->columns,1,exception);
if ((p == (PixelPacket *) NULL) || (q == (PixelPacket *) NULL) ||
(r == (PixelPacket *) NULL))
break;
for (x=0; x < (ssize_t) stereo_image->columns; x++)
{
SetPixelRed(r,GetPixelRed(p));
SetPixelGreen(r,GetPixelGreen(q));
SetPixelBlue(r,GetPixelBlue(q));
SetPixelOpacity(r,(GetPixelOpacity(p)+q->opacity)/2);
p++;
q++;
r++;
}
if (SyncAuthenticPixels(stereo_image,exception) == MagickFalse)
break;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,StereoImageTag,(MagickOffsetType) y,
stereo_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
if (status == MagickFalse)
stereo_image=DestroyImage(stereo_image);
return(stereo_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S w i r l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SwirlImage() swirls the pixels about the center of the image, where
% degrees indicates the sweep of the arc through which each pixel is moved.
% You get a more dramatic effect as the degrees move from 1 to 360.
%
% The format of the SwirlImage method is:
%
% Image *SwirlImage(const Image *image,double degrees,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o degrees: Define the tightness of the swirling effect.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SwirlImage(const Image *image,double degrees,
ExceptionInfo *exception)
{
#define SwirlImageTag "Swirl/Image"
CacheView
*image_view,
*swirl_view;
double
radius;
Image
*swirl_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
PointInfo
center,
scale;
ssize_t
y;
/*
Initialize swirl 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);
swirl_image=CloneImage(image,0,0,MagickTrue,exception);
if (swirl_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(swirl_image,DirectClass) == MagickFalse)
{
InheritException(exception,&swirl_image->exception);
swirl_image=DestroyImage(swirl_image);
return((Image *) NULL);
}
if (swirl_image->background_color.opacity != OpaqueOpacity)
swirl_image->matte=MagickTrue;
/*
Compute scaling factor.
*/
center.x=(double) image->columns/2.0;
center.y=(double) image->rows/2.0;
radius=MagickMax(center.x,center.y);
scale.x=1.0;
scale.y=1.0;
if (image->columns > image->rows)
scale.y=(double) image->columns/(double) image->rows;
else
if (image->columns < image->rows)
scale.x=(double) image->rows/(double) image->columns;
degrees=(double) DegreesToRadians(degrees);
/*
Swirl image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(swirl_image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
swirl_view=AcquireAuthenticCacheView(swirl_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,swirl_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
distance;
MagickPixelPacket
pixel;
PointInfo
delta;
IndexPacket
*magick_restrict swirl_indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(swirl_view,0,y,swirl_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
swirl_indexes=GetCacheViewAuthenticIndexQueue(swirl_view);
delta.y=scale.y*(double) (y-center.y);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
/*
Determine if the pixel is within an ellipse.
*/
delta.x=scale.x*(double) (x-center.x);
distance=delta.x*delta.x+delta.y*delta.y;
if (distance < (radius*radius))
{
double
cosine,
factor,
sine;
/*
Swirl the pixel.
*/
factor=1.0-sqrt(distance)/radius;
sine=sin((double) (degrees*factor*factor));
cosine=cos((double) (degrees*factor*factor));
status=InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) ((cosine*delta.x-sine*delta.y)/
scale.x+center.x),(double) ((sine*delta.x+cosine*delta.y)/scale.y+
center.y),&pixel,exception);
if (status == MagickFalse)
break;
SetPixelPacket(swirl_image,&pixel,q,swirl_indexes+x);
}
q++;
}
if (SyncCacheViewAuthenticPixels(swirl_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,SwirlImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
swirl_view=DestroyCacheView(swirl_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
swirl_image=DestroyImage(swirl_image);
return(swirl_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TintImage() applies a color vector to each pixel in the image. The length
% of the vector is 0 for black and white and at its maximum for the midtones.
% The vector weighting function is f(x)=(1-(4.0*((x-0.5)*(x-0.5))))
%
% The format of the TintImage method is:
%
% Image *TintImage(const Image *image,const char *opacity,
% const PixelPacket tint,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: A color value used for tinting.
%
% o tint: A color value used for tinting.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TintImage(const Image *image,const char *opacity,
const PixelPacket tint,ExceptionInfo *exception)
{
#define TintImageTag "Tint/Image"
CacheView
*image_view,
*tint_view;
GeometryInfo
geometry_info;
Image
*tint_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
color_vector,
pixel;
MagickStatusType
flags;
ssize_t
y;
/*
Allocate tint image.
*/
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);
tint_image=CloneImage(image,0,0,MagickTrue,exception);
if (tint_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(tint_image,DirectClass) == MagickFalse)
{
InheritException(exception,&tint_image->exception);
tint_image=DestroyImage(tint_image);
return((Image *) NULL);
}
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
(IsPixelGray(&tint) == MagickFalse))
(void) SetImageColorspace(tint_image,sRGBColorspace);
if (opacity == (const char *) NULL)
return(tint_image);
/*
Determine RGB values of the tint color.
*/
flags=ParseGeometry(opacity,&geometry_info);
pixel.red=geometry_info.rho;
pixel.green=geometry_info.rho;
pixel.blue=geometry_info.rho;
pixel.opacity=(MagickRealType) OpaqueOpacity;
if ((flags & SigmaValue) != 0)
pixel.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
pixel.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
pixel.opacity=geometry_info.psi;
color_vector.red=(MagickRealType) (pixel.red*tint.red/100.0-
PixelPacketIntensity(&tint));
color_vector.green=(MagickRealType) (pixel.green*tint.green/100.0-
PixelPacketIntensity(&tint));
color_vector.blue=(MagickRealType) (pixel.blue*tint.blue/100.0-
PixelPacketIntensity(&tint));
/*
Tint image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
tint_view=AcquireAuthenticCacheView(tint_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,tint_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const PixelPacket
*magick_restrict p;
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(tint_view,0,y,tint_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
weight;
MagickPixelPacket
pixel;
weight=QuantumScale*GetPixelRed(p)-0.5;
pixel.red=(MagickRealType) GetPixelRed(p)+color_vector.red*(1.0-(4.0*
(weight*weight)));
SetPixelRed(q,ClampToQuantum(pixel.red));
weight=QuantumScale*GetPixelGreen(p)-0.5;
pixel.green=(MagickRealType) GetPixelGreen(p)+color_vector.green*(1.0-
(4.0*(weight*weight)));
SetPixelGreen(q,ClampToQuantum(pixel.green));
weight=QuantumScale*GetPixelBlue(p)-0.5;
pixel.blue=(MagickRealType) GetPixelBlue(p)+color_vector.blue*(1.0-(4.0*
(weight*weight)));
SetPixelBlue(q,ClampToQuantum(pixel.blue));
SetPixelOpacity(q,GetPixelOpacity(p));
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(tint_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,TintImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
tint_view=DestroyCacheView(tint_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
tint_image=DestroyImage(tint_image);
return(tint_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% V i g n e t t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% VignetteImage() softens the edges of the image in vignette style.
%
% The format of the VignetteImage method is:
%
% Image *VignetteImage(const Image *image,const double radius,
% const double sigma,const ssize_t x,const ssize_t y,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o x, y: Define the x and y ellipse offset.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *VignetteImage(const Image *image,const double radius,
const double sigma,const ssize_t x,const ssize_t y,ExceptionInfo *exception)
{
char
ellipse[MaxTextExtent];
DrawInfo
*draw_info;
Image
*blur_image,
*canvas_image,
*oval_image,
*vignette_image;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
canvas_image=CloneImage(image,0,0,MagickTrue,exception);
if (canvas_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(canvas_image,DirectClass) == MagickFalse)
{
InheritException(exception,&canvas_image->exception);
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
canvas_image->matte=MagickTrue;
oval_image=CloneImage(canvas_image,canvas_image->columns,canvas_image->rows,
MagickTrue,exception);
if (oval_image == (Image *) NULL)
{
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
(void) QueryColorDatabase("#000000",&oval_image->background_color,exception);
(void) SetImageBackgroundColor(oval_image);
draw_info=CloneDrawInfo((const ImageInfo *) NULL,(const DrawInfo *) NULL);
(void) QueryColorDatabase("#ffffff",&draw_info->fill,exception);
(void) QueryColorDatabase("#ffffff",&draw_info->stroke,exception);
(void) FormatLocaleString(ellipse,MaxTextExtent,
"ellipse %g,%g,%g,%g,0.0,360.0",image->columns/2.0,
image->rows/2.0,image->columns/2.0-x,image->rows/2.0-y);
draw_info->primitive=AcquireString(ellipse);
(void) DrawImage(oval_image,draw_info);
draw_info=DestroyDrawInfo(draw_info);
blur_image=BlurImage(oval_image,radius,sigma,exception);
oval_image=DestroyImage(oval_image);
if (blur_image == (Image *) NULL)
{
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
blur_image->matte=MagickFalse;
(void) CompositeImage(canvas_image,CopyOpacityCompositeOp,blur_image,0,0);
blur_image=DestroyImage(blur_image);
vignette_image=MergeImageLayers(canvas_image,FlattenLayer,exception);
canvas_image=DestroyImage(canvas_image);
if (vignette_image != (Image *) NULL)
(void) TransformImageColorspace(vignette_image,image->colorspace);
return(vignette_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W a v e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WaveImage() creates a "ripple" effect in the image by shifting the pixels
% vertically along a sine wave whose amplitude and wavelength is specified
% by the given parameters.
%
% The format of the WaveImage method is:
%
% Image *WaveImage(const Image *image,const double amplitude,
% const double wave_length,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o amplitude, wave_length: Define the amplitude and wave length of the
% sine wave.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *WaveImage(const Image *image,const double amplitude,
const double wave_length,ExceptionInfo *exception)
{
#define WaveImageTag "Wave/Image"
CacheView
*image_view,
*wave_view;
float
*sine_map;
Image
*wave_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
ssize_t
i;
ssize_t
y;
/*
Initialize wave image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
wave_image=CloneImage(image,image->columns,(size_t) (image->rows+2.0*
fabs(amplitude)),MagickTrue,exception);
if (wave_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(wave_image,DirectClass) == MagickFalse)
{
InheritException(exception,&wave_image->exception);
wave_image=DestroyImage(wave_image);
return((Image *) NULL);
}
if (wave_image->background_color.opacity != OpaqueOpacity)
wave_image->matte=MagickTrue;
/*
Allocate sine map.
*/
sine_map=(float *) AcquireQuantumMemory((size_t) wave_image->columns,
sizeof(*sine_map));
if (sine_map == (float *) NULL)
{
wave_image=DestroyImage(wave_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (i=0; i < (ssize_t) wave_image->columns; i++)
sine_map[i]=(float) fabs(amplitude)+amplitude*sin((double)
((2.0*MagickPI*i)*PerceptibleReciprocal(wave_length)));
/*
Wave image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(wave_image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
wave_view=AcquireAuthenticCacheView(wave_image,exception);
(void) SetCacheViewVirtualPixelMethod(image_view,
BackgroundVirtualPixelMethod);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,wave_image,wave_image->rows,1)
#endif
for (y=0; y < (ssize_t) wave_image->rows; y++)
{
MagickPixelPacket
pixel;
IndexPacket
*magick_restrict indexes;
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(wave_view,0,y,wave_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(wave_view);
pixel=zero;
for (x=0; x < (ssize_t) wave_image->columns; x++)
{
status=InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) x,(double) (y-sine_map[x]),&pixel,
exception);
if (status == MagickFalse)
break;
SetPixelPacket(wave_image,&pixel,q,indexes+x);
q++;
}
if (SyncCacheViewAuthenticPixels(wave_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,WaveImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
wave_view=DestroyCacheView(wave_view);
image_view=DestroyCacheView(image_view);
sine_map=(float *) RelinquishMagickMemory(sine_map);
if (status == MagickFalse)
wave_image=DestroyImage(wave_image);
return(wave_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W a v e l e t D e n o i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WaveletDenoiseImage() removes noise from the image using a wavelet
% transform. The wavelet transform is a fast hierarchical scheme for
% processing an image using a set of consecutive lowpass and high_pass filters,
% followed by a decimation. This results in a decomposition into different
% scales which can be regarded as different “frequency bands”, determined by
% the mother wavelet. Adapted from dcraw.c by David Coffin.
%
% The format of the WaveletDenoiseImage method is:
%
% Image *WaveletDenoiseImage(const Image *image,const double threshold,
% const double softness,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: set the threshold for smoothing.
%
% o softness: attenuate the smoothing threshold.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline void HatTransform(const float *magick_restrict pixels,
const size_t stride,const size_t extent,const size_t scale,float *kernel)
{
const float
*magick_restrict p,
*magick_restrict q,
*magick_restrict r;
ssize_t
i;
p=pixels;
q=pixels+scale*stride,
r=pixels+scale*stride;
for (i=0; i < (ssize_t) scale; i++)
{
kernel[i]=0.25f*(*p+(*p)+(*q)+(*r));
p+=stride;
q-=stride;
r+=stride;
}
for ( ; i < (ssize_t) (extent-scale); i++)
{
kernel[i]=0.25f*(2.0f*(*p)+*(p-scale*stride)+*(p+scale*stride));
p+=stride;
}
q=p-scale*stride;
r=pixels+stride*(extent-2);
for ( ; i < (ssize_t) extent; i++)
{
kernel[i]=0.25f*(*p+(*p)+(*q)+(*r));
p+=stride;
q+=stride;
r-=stride;
}
}
MagickExport Image *WaveletDenoiseImage(const Image *image,
const double threshold,const double softness,ExceptionInfo *exception)
{
CacheView
*image_view,
*noise_view;
float
*kernel,
*pixels;
Image
*noise_image;
MagickBooleanType
status;
MagickSizeType
number_pixels;
MemoryInfo
*pixels_info;
size_t
max_channels;
ssize_t
channel;
static const double
noise_levels[]= {
0.8002, 0.2735, 0.1202, 0.0585, 0.0291, 0.0152, 0.0080, 0.0044 };
/*
Initialize noise 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);
noise_image=(Image *) NULL;
#if defined(MAGICKCORE_OPENCL_SUPPORT)
noise_image=AccelerateWaveletDenoiseImage(image,threshold,exception);
if (noise_image != (Image *) NULL)
return(noise_image);
#endif
noise_image=CloneImage(image,0,0,MagickTrue,exception);
if (noise_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(noise_image,DirectClass) == MagickFalse)
{
noise_image=DestroyImage(noise_image);
return((Image *) NULL);
}
if (AcquireMagickResource(WidthResource,3*image->columns) == MagickFalse)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
pixels_info=AcquireVirtualMemory(3*image->columns,image->rows*
sizeof(*pixels));
kernel=(float *) AcquireQuantumMemory(MagickMax(image->rows,image->columns)+1,
GetOpenMPMaximumThreads()*sizeof(*kernel));
if ((pixels_info == (MemoryInfo *) NULL) || (kernel == (float *) NULL))
{
if (kernel != (float *) NULL)
kernel=(float *) RelinquishMagickMemory(kernel);
if (pixels_info != (MemoryInfo *) NULL)
pixels_info=RelinquishVirtualMemory(pixels_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
pixels=(float *) GetVirtualMemoryBlob(pixels_info);
status=MagickTrue;
number_pixels=image->columns*image->rows;
max_channels=(size_t) (image->colorspace == CMYKColorspace ? 4 : 3);
image_view=AcquireAuthenticCacheView(image,exception);
noise_view=AcquireAuthenticCacheView(noise_image,exception);
for (channel=0; channel < (ssize_t) max_channels; channel++)
{
ssize_t
i;
size_t
high_pass,
low_pass;
ssize_t
level,
y;
if (status == MagickFalse)
continue;
/*
Copy channel from image to wavelet pixel array.
*/
i=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
ssize_t
x;
p=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
switch (channel)
{
case 0: pixels[i]=(float) GetPixelRed(p); break;
case 1: pixels[i]=(float) GetPixelGreen(p); break;
case 2: pixels[i]=(float) GetPixelBlue(p); break;
case 3: pixels[i]=(float) indexes[x]; break;
default: break;
}
i++;
p++;
}
}
/*
Low pass filter outputs are called approximation kernel & high pass
filters are referred to as detail kernel. The detail kernel
have high values in the noisy parts of the signal.
*/
high_pass=0;
for (level=0; level < 5; level++)
{
double
magnitude;
ssize_t
x,
y;
low_pass=(size_t) (number_pixels*((level & 0x01)+1));
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,1) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
float
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
p=kernel+id*image->columns;
q=pixels+y*image->columns;
HatTransform(q+high_pass,1,image->columns,(size_t) (1UL << level),p);
q+=low_pass;
for (x=0; x < (ssize_t) image->columns; x++)
*q++=(*p++);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,1) \
magick_number_threads(image,image,image->columns,1)
#endif
for (x=0; x < (ssize_t) image->columns; x++)
{
const int
id = GetOpenMPThreadId();
float
*magick_restrict p,
*magick_restrict q;
ssize_t
y;
p=kernel+id*image->rows;
q=pixels+x+low_pass;
HatTransform(q,image->columns,image->rows,(size_t) (1UL << level),p);
for (y=0; y < (ssize_t) image->rows; y++)
{
*q=(*p++);
q+=image->columns;
}
}
/*
To threshold, each coefficient is compared to a threshold value and
attenuated / shrunk by some factor.
*/
magnitude=threshold*noise_levels[level];
for (i=0; i < (ssize_t) number_pixels; ++i)
{
pixels[high_pass+i]-=pixels[low_pass+i];
if (pixels[high_pass+i] < -magnitude)
pixels[high_pass+i]+=magnitude-softness*magnitude;
else
if (pixels[high_pass+i] > magnitude)
pixels[high_pass+i]-=magnitude-softness*magnitude;
else
pixels[high_pass+i]*=softness;
if (high_pass != 0)
pixels[i]+=pixels[high_pass+i];
}
high_pass=low_pass;
}
/*
Reconstruct image from the thresholded wavelet kernel.
*/
i=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
IndexPacket
*magick_restrict noise_indexes;
PixelPacket
*magick_restrict q;
ssize_t
x;
q=GetCacheViewAuthenticPixels(noise_view,0,y,noise_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
break;
}
noise_indexes=GetCacheViewAuthenticIndexQueue(noise_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
float
pixel;
pixel=pixels[i]+pixels[low_pass+i];
switch (channel)
{
case 0: SetPixelRed(q,ClampToQuantum(pixel)); break;
case 1: SetPixelGreen(q,ClampToQuantum(pixel)); break;
case 2: SetPixelBlue(q,ClampToQuantum(pixel)); break;
case 3: SetPixelIndex(noise_indexes+x,ClampToQuantum(pixel)); break;
default: break;
}
i++;
q++;
}
sync=SyncCacheViewAuthenticPixels(noise_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,AddNoiseImageTag,(MagickOffsetType)
channel,max_channels);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
noise_view=DestroyCacheView(noise_view);
image_view=DestroyCacheView(image_view);
kernel=(float *) RelinquishMagickMemory(kernel);
pixels_info=RelinquishVirtualMemory(pixels_info);
return(noise_image);
}
|
CALPHADConcSolverBinaryThreePhase.h | #ifndef included_CALPHADConcSolverBinaryThreePhase
#define included_CALPHADConcSolverBinaryThreePhase
#include "NewtonSolver.h"
#include "datatypes.h"
namespace Thermo4PFM
{
class CALPHADConcSolverBinaryThreePhase
: public NewtonSolver<3, CALPHADConcSolverBinaryThreePhase,
JacobianDataType>
{
public:
#ifdef HAVE_OPENMP_OFFLOAD
#pragma omp declare target
#endif
/// compute "internal" concentrations cL, cS1, cS2 by solving KKS
/// equations
/// conc: initial guess and final solution (concentration in each phase)
int ComputeConcentration(double* const conc, const double tol,
const int max_iters, const double alpha = 1.)
{
return NewtonSolver::ComputeSolution(conc, tol, max_iters, alpha);
}
/// setup model paramater values to be used by solver,
/// including composition "c0" and phase fraction "hphi"
/// to solve for
void setup(const double c0, const double hphi0, const double hphi1,
const double hphi2, const double RT,
const CalphadDataType* const Lmix_L_,
const CalphadDataType* const Lmix_S0_,
const CalphadDataType* const Lmix_S1_, const CalphadDataType* const fA,
const CalphadDataType* const fB);
/// evaluate RHS of the system of eqautions to solve for
/// specific to this solver
void RHS(const double* const x, double* const fvec);
/// evaluate Jacobian of system of equations
/// specific to this solver
void Jacobian(const double* const x, JacobianDataType** const fjac);
#ifdef HAVE_OPENMP_OFFLOAD
#pragma omp end declare target
#endif
private:
///
/// Nominal composition to solve for
///
double c0_;
///
/// phase fractions to solve for
///
double hphi0_;
double hphi1_;
double hphi2_;
double scaledRT_;
///
/// 4 L coefficients for 3 possible phases (L, S0, S1)
///
CalphadDataType Lmix_L_[4];
CalphadDataType Lmix_S0_[4];
CalphadDataType Lmix_S1_[4];
///
/// energies of 2 species, in three phases each
///
CalphadDataType fA_[3];
CalphadDataType fB_[3];
// internal functions to help evaluate RHS and Jacobian
void computeXi(const double* const c, double xi[3]) const;
void computeDxiDc(const double* const c, double dxidc[3]) const;
};
}
#endif
|
ab758071d8e021266f07f078cf339d98655cede0.c | #define _POSIX_C_SOURCE 200809L
#include "stdlib.h"
#include "math.h"
#include "sys/time.h"
#include "omp.h"
struct dataobj
{
void *restrict data;
int * size;
int * npsize;
int * dsize;
int * hsize;
int * hofs;
int * oofs;
} ;
struct profiler
{
double section0;
} ;
int norm2(struct dataobj *restrict n_vec, struct dataobj *restrict u_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, const int z_M, const int z_m)
{
float (*restrict n) __attribute__ ((aligned (64))) = (float (*)) n_vec->data;
float (*restrict u)[u_vec->size[1]][u_vec->size[2]][u_vec->size[3]] __attribute__ ((aligned (64))) = (float (*)[u_vec->size[1]][u_vec->size[2]][u_vec->size[3]]) u_vec->data;
#pragma omp target enter data map(to: u[0:u_vec->size[0]][0:u_vec->size[1]][0:u_vec->size[2]][0:u_vec->size[3]])
float sum = 0.0F;
struct timeval start_section0, end_section0;
gettimeofday(&start_section0, NULL);
/* Begin section0 */
for (int time = time_m, t0 = (time)%(3); time <= time_M; time += 1, t0 = (time)%(3))
{
#pragma omp target teams distribute parallel for collapse(3) reduction(+:sum)
for (int x = x_m; x <= x_M; x += 1)
{
for (int y = y_m; y <= y_M; y += 1)
{
for (int z = z_m; z <= z_M; z += 1)
{
sum += fabs(pow(u[t0][x + 12][y + 12][z + 12], 2));
}
}
}
}
/* 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;
n[0] = sum;
#pragma omp target exit data map(delete: u[0:u_vec->size[0]][0:u_vec->size[1]][0:u_vec->size[2]][0:u_vec->size[3]])
return 0;
}
|
dds.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% DDDD DDDD SSSSS %
% D D D D SS %
% D D D D SSS %
% D D D D SS %
% DDDD DDDD SSSSS %
% %
% %
% Read/Write Microsoft Direct Draw Surface Image Format %
% %
% Software Design %
% Bianca van Schaik %
% March 2008 %
% Dirk Lemstra %
% September 2013 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/attribute.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/cache.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/pixel-accessor.h"
#include "magick/profile.h"
#include "magick/quantum.h"
#include "magick/quantum-private.h"
#include "magick/resource_.h"
#include "magick/static.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/module.h"
#include "magick/transform.h"
/*
Definitions
*/
#define DDSD_CAPS 0x00000001
#define DDSD_HEIGHT 0x00000002
#define DDSD_WIDTH 0x00000004
#define DDSD_PITCH 0x00000008
#define DDSD_PIXELFORMAT 0x00001000
#define DDSD_MIPMAPCOUNT 0x00020000
#define DDSD_LINEARSIZE 0x00080000
#define DDSD_DEPTH 0x00800000
#define DDPF_ALPHAPIXELS 0x00000001
#define DDPF_FOURCC 0x00000004
#define DDPF_RGB 0x00000040
#define DDPF_LUMINANCE 0x00020000
#define FOURCC_DXT1 0x31545844
#define FOURCC_DXT3 0x33545844
#define FOURCC_DXT5 0x35545844
#define DDSCAPS_COMPLEX 0x00000008
#define DDSCAPS_TEXTURE 0x00001000
#define DDSCAPS_MIPMAP 0x00400000
#define DDSCAPS2_CUBEMAP 0x00000200
#define DDSCAPS2_CUBEMAP_POSITIVEX 0x00000400
#define DDSCAPS2_CUBEMAP_NEGATIVEX 0x00000800
#define DDSCAPS2_CUBEMAP_POSITIVEY 0x00001000
#define DDSCAPS2_CUBEMAP_NEGATIVEY 0x00002000
#define DDSCAPS2_CUBEMAP_POSITIVEZ 0x00004000
#define DDSCAPS2_CUBEMAP_NEGATIVEZ 0x00008000
#define DDSCAPS2_VOLUME 0x00200000
#ifndef SIZE_MAX
#define SIZE_MAX ((size_t) -1)
#endif
/*
Structure declarations.
*/
typedef struct _DDSPixelFormat
{
size_t
flags,
fourcc,
rgb_bitcount,
r_bitmask,
g_bitmask,
b_bitmask,
alpha_bitmask;
} DDSPixelFormat;
typedef struct _DDSInfo
{
size_t
flags,
height,
width,
pitchOrLinearSize,
depth,
mipmapcount,
ddscaps1,
ddscaps2;
DDSPixelFormat
pixelformat;
} DDSInfo;
typedef struct _DDSColors
{
unsigned char
r[4],
g[4],
b[4],
a[4];
} DDSColors;
typedef struct _DDSVector4
{
float
x,
y,
z,
w;
} DDSVector4;
typedef struct _DDSVector3
{
float
x,
y,
z;
} DDSVector3;
typedef struct _DDSSourceBlock
{
unsigned char
start,
end,
error;
} DDSSourceBlock;
typedef struct _DDSSingleColourLookup
{
DDSSourceBlock sources[2];
} DDSSingleColourLookup;
typedef MagickBooleanType
DDSDecoder(Image *, DDSInfo *, ExceptionInfo *);
static const DDSSingleColourLookup DDSLookup_5_4[] =
{
{ { { 0, 0, 0 }, { 0, 0, 0 } } },
{ { { 0, 0, 1 }, { 0, 1, 1 } } },
{ { { 0, 0, 2 }, { 0, 1, 0 } } },
{ { { 0, 0, 3 }, { 0, 1, 1 } } },
{ { { 0, 0, 4 }, { 0, 2, 1 } } },
{ { { 1, 0, 3 }, { 0, 2, 0 } } },
{ { { 1, 0, 2 }, { 0, 2, 1 } } },
{ { { 1, 0, 1 }, { 0, 3, 1 } } },
{ { { 1, 0, 0 }, { 0, 3, 0 } } },
{ { { 1, 0, 1 }, { 1, 2, 1 } } },
{ { { 1, 0, 2 }, { 1, 2, 0 } } },
{ { { 1, 0, 3 }, { 0, 4, 0 } } },
{ { { 1, 0, 4 }, { 0, 5, 1 } } },
{ { { 2, 0, 3 }, { 0, 5, 0 } } },
{ { { 2, 0, 2 }, { 0, 5, 1 } } },
{ { { 2, 0, 1 }, { 0, 6, 1 } } },
{ { { 2, 0, 0 }, { 0, 6, 0 } } },
{ { { 2, 0, 1 }, { 2, 3, 1 } } },
{ { { 2, 0, 2 }, { 2, 3, 0 } } },
{ { { 2, 0, 3 }, { 0, 7, 0 } } },
{ { { 2, 0, 4 }, { 1, 6, 1 } } },
{ { { 3, 0, 3 }, { 1, 6, 0 } } },
{ { { 3, 0, 2 }, { 0, 8, 0 } } },
{ { { 3, 0, 1 }, { 0, 9, 1 } } },
{ { { 3, 0, 0 }, { 0, 9, 0 } } },
{ { { 3, 0, 1 }, { 0, 9, 1 } } },
{ { { 3, 0, 2 }, { 0, 10, 1 } } },
{ { { 3, 0, 3 }, { 0, 10, 0 } } },
{ { { 3, 0, 4 }, { 2, 7, 1 } } },
{ { { 4, 0, 4 }, { 2, 7, 0 } } },
{ { { 4, 0, 3 }, { 0, 11, 0 } } },
{ { { 4, 0, 2 }, { 1, 10, 1 } } },
{ { { 4, 0, 1 }, { 1, 10, 0 } } },
{ { { 4, 0, 0 }, { 0, 12, 0 } } },
{ { { 4, 0, 1 }, { 0, 13, 1 } } },
{ { { 4, 0, 2 }, { 0, 13, 0 } } },
{ { { 4, 0, 3 }, { 0, 13, 1 } } },
{ { { 4, 0, 4 }, { 0, 14, 1 } } },
{ { { 5, 0, 3 }, { 0, 14, 0 } } },
{ { { 5, 0, 2 }, { 2, 11, 1 } } },
{ { { 5, 0, 1 }, { 2, 11, 0 } } },
{ { { 5, 0, 0 }, { 0, 15, 0 } } },
{ { { 5, 0, 1 }, { 1, 14, 1 } } },
{ { { 5, 0, 2 }, { 1, 14, 0 } } },
{ { { 5, 0, 3 }, { 0, 16, 0 } } },
{ { { 5, 0, 4 }, { 0, 17, 1 } } },
{ { { 6, 0, 3 }, { 0, 17, 0 } } },
{ { { 6, 0, 2 }, { 0, 17, 1 } } },
{ { { 6, 0, 1 }, { 0, 18, 1 } } },
{ { { 6, 0, 0 }, { 0, 18, 0 } } },
{ { { 6, 0, 1 }, { 2, 15, 1 } } },
{ { { 6, 0, 2 }, { 2, 15, 0 } } },
{ { { 6, 0, 3 }, { 0, 19, 0 } } },
{ { { 6, 0, 4 }, { 1, 18, 1 } } },
{ { { 7, 0, 3 }, { 1, 18, 0 } } },
{ { { 7, 0, 2 }, { 0, 20, 0 } } },
{ { { 7, 0, 1 }, { 0, 21, 1 } } },
{ { { 7, 0, 0 }, { 0, 21, 0 } } },
{ { { 7, 0, 1 }, { 0, 21, 1 } } },
{ { { 7, 0, 2 }, { 0, 22, 1 } } },
{ { { 7, 0, 3 }, { 0, 22, 0 } } },
{ { { 7, 0, 4 }, { 2, 19, 1 } } },
{ { { 8, 0, 4 }, { 2, 19, 0 } } },
{ { { 8, 0, 3 }, { 0, 23, 0 } } },
{ { { 8, 0, 2 }, { 1, 22, 1 } } },
{ { { 8, 0, 1 }, { 1, 22, 0 } } },
{ { { 8, 0, 0 }, { 0, 24, 0 } } },
{ { { 8, 0, 1 }, { 0, 25, 1 } } },
{ { { 8, 0, 2 }, { 0, 25, 0 } } },
{ { { 8, 0, 3 }, { 0, 25, 1 } } },
{ { { 8, 0, 4 }, { 0, 26, 1 } } },
{ { { 9, 0, 3 }, { 0, 26, 0 } } },
{ { { 9, 0, 2 }, { 2, 23, 1 } } },
{ { { 9, 0, 1 }, { 2, 23, 0 } } },
{ { { 9, 0, 0 }, { 0, 27, 0 } } },
{ { { 9, 0, 1 }, { 1, 26, 1 } } },
{ { { 9, 0, 2 }, { 1, 26, 0 } } },
{ { { 9, 0, 3 }, { 0, 28, 0 } } },
{ { { 9, 0, 4 }, { 0, 29, 1 } } },
{ { { 10, 0, 3 }, { 0, 29, 0 } } },
{ { { 10, 0, 2 }, { 0, 29, 1 } } },
{ { { 10, 0, 1 }, { 0, 30, 1 } } },
{ { { 10, 0, 0 }, { 0, 30, 0 } } },
{ { { 10, 0, 1 }, { 2, 27, 1 } } },
{ { { 10, 0, 2 }, { 2, 27, 0 } } },
{ { { 10, 0, 3 }, { 0, 31, 0 } } },
{ { { 10, 0, 4 }, { 1, 30, 1 } } },
{ { { 11, 0, 3 }, { 1, 30, 0 } } },
{ { { 11, 0, 2 }, { 4, 24, 0 } } },
{ { { 11, 0, 1 }, { 1, 31, 1 } } },
{ { { 11, 0, 0 }, { 1, 31, 0 } } },
{ { { 11, 0, 1 }, { 1, 31, 1 } } },
{ { { 11, 0, 2 }, { 2, 30, 1 } } },
{ { { 11, 0, 3 }, { 2, 30, 0 } } },
{ { { 11, 0, 4 }, { 2, 31, 1 } } },
{ { { 12, 0, 4 }, { 2, 31, 0 } } },
{ { { 12, 0, 3 }, { 4, 27, 0 } } },
{ { { 12, 0, 2 }, { 3, 30, 1 } } },
{ { { 12, 0, 1 }, { 3, 30, 0 } } },
{ { { 12, 0, 0 }, { 4, 28, 0 } } },
{ { { 12, 0, 1 }, { 3, 31, 1 } } },
{ { { 12, 0, 2 }, { 3, 31, 0 } } },
{ { { 12, 0, 3 }, { 3, 31, 1 } } },
{ { { 12, 0, 4 }, { 4, 30, 1 } } },
{ { { 13, 0, 3 }, { 4, 30, 0 } } },
{ { { 13, 0, 2 }, { 6, 27, 1 } } },
{ { { 13, 0, 1 }, { 6, 27, 0 } } },
{ { { 13, 0, 0 }, { 4, 31, 0 } } },
{ { { 13, 0, 1 }, { 5, 30, 1 } } },
{ { { 13, 0, 2 }, { 5, 30, 0 } } },
{ { { 13, 0, 3 }, { 8, 24, 0 } } },
{ { { 13, 0, 4 }, { 5, 31, 1 } } },
{ { { 14, 0, 3 }, { 5, 31, 0 } } },
{ { { 14, 0, 2 }, { 5, 31, 1 } } },
{ { { 14, 0, 1 }, { 6, 30, 1 } } },
{ { { 14, 0, 0 }, { 6, 30, 0 } } },
{ { { 14, 0, 1 }, { 6, 31, 1 } } },
{ { { 14, 0, 2 }, { 6, 31, 0 } } },
{ { { 14, 0, 3 }, { 8, 27, 0 } } },
{ { { 14, 0, 4 }, { 7, 30, 1 } } },
{ { { 15, 0, 3 }, { 7, 30, 0 } } },
{ { { 15, 0, 2 }, { 8, 28, 0 } } },
{ { { 15, 0, 1 }, { 7, 31, 1 } } },
{ { { 15, 0, 0 }, { 7, 31, 0 } } },
{ { { 15, 0, 1 }, { 7, 31, 1 } } },
{ { { 15, 0, 2 }, { 8, 30, 1 } } },
{ { { 15, 0, 3 }, { 8, 30, 0 } } },
{ { { 15, 0, 4 }, { 10, 27, 1 } } },
{ { { 16, 0, 4 }, { 10, 27, 0 } } },
{ { { 16, 0, 3 }, { 8, 31, 0 } } },
{ { { 16, 0, 2 }, { 9, 30, 1 } } },
{ { { 16, 0, 1 }, { 9, 30, 0 } } },
{ { { 16, 0, 0 }, { 12, 24, 0 } } },
{ { { 16, 0, 1 }, { 9, 31, 1 } } },
{ { { 16, 0, 2 }, { 9, 31, 0 } } },
{ { { 16, 0, 3 }, { 9, 31, 1 } } },
{ { { 16, 0, 4 }, { 10, 30, 1 } } },
{ { { 17, 0, 3 }, { 10, 30, 0 } } },
{ { { 17, 0, 2 }, { 10, 31, 1 } } },
{ { { 17, 0, 1 }, { 10, 31, 0 } } },
{ { { 17, 0, 0 }, { 12, 27, 0 } } },
{ { { 17, 0, 1 }, { 11, 30, 1 } } },
{ { { 17, 0, 2 }, { 11, 30, 0 } } },
{ { { 17, 0, 3 }, { 12, 28, 0 } } },
{ { { 17, 0, 4 }, { 11, 31, 1 } } },
{ { { 18, 0, 3 }, { 11, 31, 0 } } },
{ { { 18, 0, 2 }, { 11, 31, 1 } } },
{ { { 18, 0, 1 }, { 12, 30, 1 } } },
{ { { 18, 0, 0 }, { 12, 30, 0 } } },
{ { { 18, 0, 1 }, { 14, 27, 1 } } },
{ { { 18, 0, 2 }, { 14, 27, 0 } } },
{ { { 18, 0, 3 }, { 12, 31, 0 } } },
{ { { 18, 0, 4 }, { 13, 30, 1 } } },
{ { { 19, 0, 3 }, { 13, 30, 0 } } },
{ { { 19, 0, 2 }, { 16, 24, 0 } } },
{ { { 19, 0, 1 }, { 13, 31, 1 } } },
{ { { 19, 0, 0 }, { 13, 31, 0 } } },
{ { { 19, 0, 1 }, { 13, 31, 1 } } },
{ { { 19, 0, 2 }, { 14, 30, 1 } } },
{ { { 19, 0, 3 }, { 14, 30, 0 } } },
{ { { 19, 0, 4 }, { 14, 31, 1 } } },
{ { { 20, 0, 4 }, { 14, 31, 0 } } },
{ { { 20, 0, 3 }, { 16, 27, 0 } } },
{ { { 20, 0, 2 }, { 15, 30, 1 } } },
{ { { 20, 0, 1 }, { 15, 30, 0 } } },
{ { { 20, 0, 0 }, { 16, 28, 0 } } },
{ { { 20, 0, 1 }, { 15, 31, 1 } } },
{ { { 20, 0, 2 }, { 15, 31, 0 } } },
{ { { 20, 0, 3 }, { 15, 31, 1 } } },
{ { { 20, 0, 4 }, { 16, 30, 1 } } },
{ { { 21, 0, 3 }, { 16, 30, 0 } } },
{ { { 21, 0, 2 }, { 18, 27, 1 } } },
{ { { 21, 0, 1 }, { 18, 27, 0 } } },
{ { { 21, 0, 0 }, { 16, 31, 0 } } },
{ { { 21, 0, 1 }, { 17, 30, 1 } } },
{ { { 21, 0, 2 }, { 17, 30, 0 } } },
{ { { 21, 0, 3 }, { 20, 24, 0 } } },
{ { { 21, 0, 4 }, { 17, 31, 1 } } },
{ { { 22, 0, 3 }, { 17, 31, 0 } } },
{ { { 22, 0, 2 }, { 17, 31, 1 } } },
{ { { 22, 0, 1 }, { 18, 30, 1 } } },
{ { { 22, 0, 0 }, { 18, 30, 0 } } },
{ { { 22, 0, 1 }, { 18, 31, 1 } } },
{ { { 22, 0, 2 }, { 18, 31, 0 } } },
{ { { 22, 0, 3 }, { 20, 27, 0 } } },
{ { { 22, 0, 4 }, { 19, 30, 1 } } },
{ { { 23, 0, 3 }, { 19, 30, 0 } } },
{ { { 23, 0, 2 }, { 20, 28, 0 } } },
{ { { 23, 0, 1 }, { 19, 31, 1 } } },
{ { { 23, 0, 0 }, { 19, 31, 0 } } },
{ { { 23, 0, 1 }, { 19, 31, 1 } } },
{ { { 23, 0, 2 }, { 20, 30, 1 } } },
{ { { 23, 0, 3 }, { 20, 30, 0 } } },
{ { { 23, 0, 4 }, { 22, 27, 1 } } },
{ { { 24, 0, 4 }, { 22, 27, 0 } } },
{ { { 24, 0, 3 }, { 20, 31, 0 } } },
{ { { 24, 0, 2 }, { 21, 30, 1 } } },
{ { { 24, 0, 1 }, { 21, 30, 0 } } },
{ { { 24, 0, 0 }, { 24, 24, 0 } } },
{ { { 24, 0, 1 }, { 21, 31, 1 } } },
{ { { 24, 0, 2 }, { 21, 31, 0 } } },
{ { { 24, 0, 3 }, { 21, 31, 1 } } },
{ { { 24, 0, 4 }, { 22, 30, 1 } } },
{ { { 25, 0, 3 }, { 22, 30, 0 } } },
{ { { 25, 0, 2 }, { 22, 31, 1 } } },
{ { { 25, 0, 1 }, { 22, 31, 0 } } },
{ { { 25, 0, 0 }, { 24, 27, 0 } } },
{ { { 25, 0, 1 }, { 23, 30, 1 } } },
{ { { 25, 0, 2 }, { 23, 30, 0 } } },
{ { { 25, 0, 3 }, { 24, 28, 0 } } },
{ { { 25, 0, 4 }, { 23, 31, 1 } } },
{ { { 26, 0, 3 }, { 23, 31, 0 } } },
{ { { 26, 0, 2 }, { 23, 31, 1 } } },
{ { { 26, 0, 1 }, { 24, 30, 1 } } },
{ { { 26, 0, 0 }, { 24, 30, 0 } } },
{ { { 26, 0, 1 }, { 26, 27, 1 } } },
{ { { 26, 0, 2 }, { 26, 27, 0 } } },
{ { { 26, 0, 3 }, { 24, 31, 0 } } },
{ { { 26, 0, 4 }, { 25, 30, 1 } } },
{ { { 27, 0, 3 }, { 25, 30, 0 } } },
{ { { 27, 0, 2 }, { 28, 24, 0 } } },
{ { { 27, 0, 1 }, { 25, 31, 1 } } },
{ { { 27, 0, 0 }, { 25, 31, 0 } } },
{ { { 27, 0, 1 }, { 25, 31, 1 } } },
{ { { 27, 0, 2 }, { 26, 30, 1 } } },
{ { { 27, 0, 3 }, { 26, 30, 0 } } },
{ { { 27, 0, 4 }, { 26, 31, 1 } } },
{ { { 28, 0, 4 }, { 26, 31, 0 } } },
{ { { 28, 0, 3 }, { 28, 27, 0 } } },
{ { { 28, 0, 2 }, { 27, 30, 1 } } },
{ { { 28, 0, 1 }, { 27, 30, 0 } } },
{ { { 28, 0, 0 }, { 28, 28, 0 } } },
{ { { 28, 0, 1 }, { 27, 31, 1 } } },
{ { { 28, 0, 2 }, { 27, 31, 0 } } },
{ { { 28, 0, 3 }, { 27, 31, 1 } } },
{ { { 28, 0, 4 }, { 28, 30, 1 } } },
{ { { 29, 0, 3 }, { 28, 30, 0 } } },
{ { { 29, 0, 2 }, { 30, 27, 1 } } },
{ { { 29, 0, 1 }, { 30, 27, 0 } } },
{ { { 29, 0, 0 }, { 28, 31, 0 } } },
{ { { 29, 0, 1 }, { 29, 30, 1 } } },
{ { { 29, 0, 2 }, { 29, 30, 0 } } },
{ { { 29, 0, 3 }, { 29, 30, 1 } } },
{ { { 29, 0, 4 }, { 29, 31, 1 } } },
{ { { 30, 0, 3 }, { 29, 31, 0 } } },
{ { { 30, 0, 2 }, { 29, 31, 1 } } },
{ { { 30, 0, 1 }, { 30, 30, 1 } } },
{ { { 30, 0, 0 }, { 30, 30, 0 } } },
{ { { 30, 0, 1 }, { 30, 31, 1 } } },
{ { { 30, 0, 2 }, { 30, 31, 0 } } },
{ { { 30, 0, 3 }, { 30, 31, 1 } } },
{ { { 30, 0, 4 }, { 31, 30, 1 } } },
{ { { 31, 0, 3 }, { 31, 30, 0 } } },
{ { { 31, 0, 2 }, { 31, 30, 1 } } },
{ { { 31, 0, 1 }, { 31, 31, 1 } } },
{ { { 31, 0, 0 }, { 31, 31, 0 } } }
};
static const DDSSingleColourLookup DDSLookup_6_4[] =
{
{ { { 0, 0, 0 }, { 0, 0, 0 } } },
{ { { 0, 0, 1 }, { 0, 1, 0 } } },
{ { { 0, 0, 2 }, { 0, 2, 0 } } },
{ { { 1, 0, 1 }, { 0, 3, 1 } } },
{ { { 1, 0, 0 }, { 0, 3, 0 } } },
{ { { 1, 0, 1 }, { 0, 4, 0 } } },
{ { { 1, 0, 2 }, { 0, 5, 0 } } },
{ { { 2, 0, 1 }, { 0, 6, 1 } } },
{ { { 2, 0, 0 }, { 0, 6, 0 } } },
{ { { 2, 0, 1 }, { 0, 7, 0 } } },
{ { { 2, 0, 2 }, { 0, 8, 0 } } },
{ { { 3, 0, 1 }, { 0, 9, 1 } } },
{ { { 3, 0, 0 }, { 0, 9, 0 } } },
{ { { 3, 0, 1 }, { 0, 10, 0 } } },
{ { { 3, 0, 2 }, { 0, 11, 0 } } },
{ { { 4, 0, 1 }, { 0, 12, 1 } } },
{ { { 4, 0, 0 }, { 0, 12, 0 } } },
{ { { 4, 0, 1 }, { 0, 13, 0 } } },
{ { { 4, 0, 2 }, { 0, 14, 0 } } },
{ { { 5, 0, 1 }, { 0, 15, 1 } } },
{ { { 5, 0, 0 }, { 0, 15, 0 } } },
{ { { 5, 0, 1 }, { 0, 16, 0 } } },
{ { { 5, 0, 2 }, { 1, 15, 0 } } },
{ { { 6, 0, 1 }, { 0, 17, 0 } } },
{ { { 6, 0, 0 }, { 0, 18, 0 } } },
{ { { 6, 0, 1 }, { 0, 19, 0 } } },
{ { { 6, 0, 2 }, { 3, 14, 0 } } },
{ { { 7, 0, 1 }, { 0, 20, 0 } } },
{ { { 7, 0, 0 }, { 0, 21, 0 } } },
{ { { 7, 0, 1 }, { 0, 22, 0 } } },
{ { { 7, 0, 2 }, { 4, 15, 0 } } },
{ { { 8, 0, 1 }, { 0, 23, 0 } } },
{ { { 8, 0, 0 }, { 0, 24, 0 } } },
{ { { 8, 0, 1 }, { 0, 25, 0 } } },
{ { { 8, 0, 2 }, { 6, 14, 0 } } },
{ { { 9, 0, 1 }, { 0, 26, 0 } } },
{ { { 9, 0, 0 }, { 0, 27, 0 } } },
{ { { 9, 0, 1 }, { 0, 28, 0 } } },
{ { { 9, 0, 2 }, { 7, 15, 0 } } },
{ { { 10, 0, 1 }, { 0, 29, 0 } } },
{ { { 10, 0, 0 }, { 0, 30, 0 } } },
{ { { 10, 0, 1 }, { 0, 31, 0 } } },
{ { { 10, 0, 2 }, { 9, 14, 0 } } },
{ { { 11, 0, 1 }, { 0, 32, 0 } } },
{ { { 11, 0, 0 }, { 0, 33, 0 } } },
{ { { 11, 0, 1 }, { 2, 30, 0 } } },
{ { { 11, 0, 2 }, { 0, 34, 0 } } },
{ { { 12, 0, 1 }, { 0, 35, 0 } } },
{ { { 12, 0, 0 }, { 0, 36, 0 } } },
{ { { 12, 0, 1 }, { 3, 31, 0 } } },
{ { { 12, 0, 2 }, { 0, 37, 0 } } },
{ { { 13, 0, 1 }, { 0, 38, 0 } } },
{ { { 13, 0, 0 }, { 0, 39, 0 } } },
{ { { 13, 0, 1 }, { 5, 30, 0 } } },
{ { { 13, 0, 2 }, { 0, 40, 0 } } },
{ { { 14, 0, 1 }, { 0, 41, 0 } } },
{ { { 14, 0, 0 }, { 0, 42, 0 } } },
{ { { 14, 0, 1 }, { 6, 31, 0 } } },
{ { { 14, 0, 2 }, { 0, 43, 0 } } },
{ { { 15, 0, 1 }, { 0, 44, 0 } } },
{ { { 15, 0, 0 }, { 0, 45, 0 } } },
{ { { 15, 0, 1 }, { 8, 30, 0 } } },
{ { { 15, 0, 2 }, { 0, 46, 0 } } },
{ { { 16, 0, 2 }, { 0, 47, 0 } } },
{ { { 16, 0, 1 }, { 1, 46, 0 } } },
{ { { 16, 0, 0 }, { 0, 48, 0 } } },
{ { { 16, 0, 1 }, { 0, 49, 0 } } },
{ { { 16, 0, 2 }, { 0, 50, 0 } } },
{ { { 17, 0, 1 }, { 2, 47, 0 } } },
{ { { 17, 0, 0 }, { 0, 51, 0 } } },
{ { { 17, 0, 1 }, { 0, 52, 0 } } },
{ { { 17, 0, 2 }, { 0, 53, 0 } } },
{ { { 18, 0, 1 }, { 4, 46, 0 } } },
{ { { 18, 0, 0 }, { 0, 54, 0 } } },
{ { { 18, 0, 1 }, { 0, 55, 0 } } },
{ { { 18, 0, 2 }, { 0, 56, 0 } } },
{ { { 19, 0, 1 }, { 5, 47, 0 } } },
{ { { 19, 0, 0 }, { 0, 57, 0 } } },
{ { { 19, 0, 1 }, { 0, 58, 0 } } },
{ { { 19, 0, 2 }, { 0, 59, 0 } } },
{ { { 20, 0, 1 }, { 7, 46, 0 } } },
{ { { 20, 0, 0 }, { 0, 60, 0 } } },
{ { { 20, 0, 1 }, { 0, 61, 0 } } },
{ { { 20, 0, 2 }, { 0, 62, 0 } } },
{ { { 21, 0, 1 }, { 8, 47, 0 } } },
{ { { 21, 0, 0 }, { 0, 63, 0 } } },
{ { { 21, 0, 1 }, { 1, 62, 0 } } },
{ { { 21, 0, 2 }, { 1, 63, 0 } } },
{ { { 22, 0, 1 }, { 10, 46, 0 } } },
{ { { 22, 0, 0 }, { 2, 62, 0 } } },
{ { { 22, 0, 1 }, { 2, 63, 0 } } },
{ { { 22, 0, 2 }, { 3, 62, 0 } } },
{ { { 23, 0, 1 }, { 11, 47, 0 } } },
{ { { 23, 0, 0 }, { 3, 63, 0 } } },
{ { { 23, 0, 1 }, { 4, 62, 0 } } },
{ { { 23, 0, 2 }, { 4, 63, 0 } } },
{ { { 24, 0, 1 }, { 13, 46, 0 } } },
{ { { 24, 0, 0 }, { 5, 62, 0 } } },
{ { { 24, 0, 1 }, { 5, 63, 0 } } },
{ { { 24, 0, 2 }, { 6, 62, 0 } } },
{ { { 25, 0, 1 }, { 14, 47, 0 } } },
{ { { 25, 0, 0 }, { 6, 63, 0 } } },
{ { { 25, 0, 1 }, { 7, 62, 0 } } },
{ { { 25, 0, 2 }, { 7, 63, 0 } } },
{ { { 26, 0, 1 }, { 16, 45, 0 } } },
{ { { 26, 0, 0 }, { 8, 62, 0 } } },
{ { { 26, 0, 1 }, { 8, 63, 0 } } },
{ { { 26, 0, 2 }, { 9, 62, 0 } } },
{ { { 27, 0, 1 }, { 16, 48, 0 } } },
{ { { 27, 0, 0 }, { 9, 63, 0 } } },
{ { { 27, 0, 1 }, { 10, 62, 0 } } },
{ { { 27, 0, 2 }, { 10, 63, 0 } } },
{ { { 28, 0, 1 }, { 16, 51, 0 } } },
{ { { 28, 0, 0 }, { 11, 62, 0 } } },
{ { { 28, 0, 1 }, { 11, 63, 0 } } },
{ { { 28, 0, 2 }, { 12, 62, 0 } } },
{ { { 29, 0, 1 }, { 16, 54, 0 } } },
{ { { 29, 0, 0 }, { 12, 63, 0 } } },
{ { { 29, 0, 1 }, { 13, 62, 0 } } },
{ { { 29, 0, 2 }, { 13, 63, 0 } } },
{ { { 30, 0, 1 }, { 16, 57, 0 } } },
{ { { 30, 0, 0 }, { 14, 62, 0 } } },
{ { { 30, 0, 1 }, { 14, 63, 0 } } },
{ { { 30, 0, 2 }, { 15, 62, 0 } } },
{ { { 31, 0, 1 }, { 16, 60, 0 } } },
{ { { 31, 0, 0 }, { 15, 63, 0 } } },
{ { { 31, 0, 1 }, { 24, 46, 0 } } },
{ { { 31, 0, 2 }, { 16, 62, 0 } } },
{ { { 32, 0, 2 }, { 16, 63, 0 } } },
{ { { 32, 0, 1 }, { 17, 62, 0 } } },
{ { { 32, 0, 0 }, { 25, 47, 0 } } },
{ { { 32, 0, 1 }, { 17, 63, 0 } } },
{ { { 32, 0, 2 }, { 18, 62, 0 } } },
{ { { 33, 0, 1 }, { 18, 63, 0 } } },
{ { { 33, 0, 0 }, { 27, 46, 0 } } },
{ { { 33, 0, 1 }, { 19, 62, 0 } } },
{ { { 33, 0, 2 }, { 19, 63, 0 } } },
{ { { 34, 0, 1 }, { 20, 62, 0 } } },
{ { { 34, 0, 0 }, { 28, 47, 0 } } },
{ { { 34, 0, 1 }, { 20, 63, 0 } } },
{ { { 34, 0, 2 }, { 21, 62, 0 } } },
{ { { 35, 0, 1 }, { 21, 63, 0 } } },
{ { { 35, 0, 0 }, { 30, 46, 0 } } },
{ { { 35, 0, 1 }, { 22, 62, 0 } } },
{ { { 35, 0, 2 }, { 22, 63, 0 } } },
{ { { 36, 0, 1 }, { 23, 62, 0 } } },
{ { { 36, 0, 0 }, { 31, 47, 0 } } },
{ { { 36, 0, 1 }, { 23, 63, 0 } } },
{ { { 36, 0, 2 }, { 24, 62, 0 } } },
{ { { 37, 0, 1 }, { 24, 63, 0 } } },
{ { { 37, 0, 0 }, { 32, 47, 0 } } },
{ { { 37, 0, 1 }, { 25, 62, 0 } } },
{ { { 37, 0, 2 }, { 25, 63, 0 } } },
{ { { 38, 0, 1 }, { 26, 62, 0 } } },
{ { { 38, 0, 0 }, { 32, 50, 0 } } },
{ { { 38, 0, 1 }, { 26, 63, 0 } } },
{ { { 38, 0, 2 }, { 27, 62, 0 } } },
{ { { 39, 0, 1 }, { 27, 63, 0 } } },
{ { { 39, 0, 0 }, { 32, 53, 0 } } },
{ { { 39, 0, 1 }, { 28, 62, 0 } } },
{ { { 39, 0, 2 }, { 28, 63, 0 } } },
{ { { 40, 0, 1 }, { 29, 62, 0 } } },
{ { { 40, 0, 0 }, { 32, 56, 0 } } },
{ { { 40, 0, 1 }, { 29, 63, 0 } } },
{ { { 40, 0, 2 }, { 30, 62, 0 } } },
{ { { 41, 0, 1 }, { 30, 63, 0 } } },
{ { { 41, 0, 0 }, { 32, 59, 0 } } },
{ { { 41, 0, 1 }, { 31, 62, 0 } } },
{ { { 41, 0, 2 }, { 31, 63, 0 } } },
{ { { 42, 0, 1 }, { 32, 61, 0 } } },
{ { { 42, 0, 0 }, { 32, 62, 0 } } },
{ { { 42, 0, 1 }, { 32, 63, 0 } } },
{ { { 42, 0, 2 }, { 41, 46, 0 } } },
{ { { 43, 0, 1 }, { 33, 62, 0 } } },
{ { { 43, 0, 0 }, { 33, 63, 0 } } },
{ { { 43, 0, 1 }, { 34, 62, 0 } } },
{ { { 43, 0, 2 }, { 42, 47, 0 } } },
{ { { 44, 0, 1 }, { 34, 63, 0 } } },
{ { { 44, 0, 0 }, { 35, 62, 0 } } },
{ { { 44, 0, 1 }, { 35, 63, 0 } } },
{ { { 44, 0, 2 }, { 44, 46, 0 } } },
{ { { 45, 0, 1 }, { 36, 62, 0 } } },
{ { { 45, 0, 0 }, { 36, 63, 0 } } },
{ { { 45, 0, 1 }, { 37, 62, 0 } } },
{ { { 45, 0, 2 }, { 45, 47, 0 } } },
{ { { 46, 0, 1 }, { 37, 63, 0 } } },
{ { { 46, 0, 0 }, { 38, 62, 0 } } },
{ { { 46, 0, 1 }, { 38, 63, 0 } } },
{ { { 46, 0, 2 }, { 47, 46, 0 } } },
{ { { 47, 0, 1 }, { 39, 62, 0 } } },
{ { { 47, 0, 0 }, { 39, 63, 0 } } },
{ { { 47, 0, 1 }, { 40, 62, 0 } } },
{ { { 47, 0, 2 }, { 48, 46, 0 } } },
{ { { 48, 0, 2 }, { 40, 63, 0 } } },
{ { { 48, 0, 1 }, { 41, 62, 0 } } },
{ { { 48, 0, 0 }, { 41, 63, 0 } } },
{ { { 48, 0, 1 }, { 48, 49, 0 } } },
{ { { 48, 0, 2 }, { 42, 62, 0 } } },
{ { { 49, 0, 1 }, { 42, 63, 0 } } },
{ { { 49, 0, 0 }, { 43, 62, 0 } } },
{ { { 49, 0, 1 }, { 48, 52, 0 } } },
{ { { 49, 0, 2 }, { 43, 63, 0 } } },
{ { { 50, 0, 1 }, { 44, 62, 0 } } },
{ { { 50, 0, 0 }, { 44, 63, 0 } } },
{ { { 50, 0, 1 }, { 48, 55, 0 } } },
{ { { 50, 0, 2 }, { 45, 62, 0 } } },
{ { { 51, 0, 1 }, { 45, 63, 0 } } },
{ { { 51, 0, 0 }, { 46, 62, 0 } } },
{ { { 51, 0, 1 }, { 48, 58, 0 } } },
{ { { 51, 0, 2 }, { 46, 63, 0 } } },
{ { { 52, 0, 1 }, { 47, 62, 0 } } },
{ { { 52, 0, 0 }, { 47, 63, 0 } } },
{ { { 52, 0, 1 }, { 48, 61, 0 } } },
{ { { 52, 0, 2 }, { 48, 62, 0 } } },
{ { { 53, 0, 1 }, { 56, 47, 0 } } },
{ { { 53, 0, 0 }, { 48, 63, 0 } } },
{ { { 53, 0, 1 }, { 49, 62, 0 } } },
{ { { 53, 0, 2 }, { 49, 63, 0 } } },
{ { { 54, 0, 1 }, { 58, 46, 0 } } },
{ { { 54, 0, 0 }, { 50, 62, 0 } } },
{ { { 54, 0, 1 }, { 50, 63, 0 } } },
{ { { 54, 0, 2 }, { 51, 62, 0 } } },
{ { { 55, 0, 1 }, { 59, 47, 0 } } },
{ { { 55, 0, 0 }, { 51, 63, 0 } } },
{ { { 55, 0, 1 }, { 52, 62, 0 } } },
{ { { 55, 0, 2 }, { 52, 63, 0 } } },
{ { { 56, 0, 1 }, { 61, 46, 0 } } },
{ { { 56, 0, 0 }, { 53, 62, 0 } } },
{ { { 56, 0, 1 }, { 53, 63, 0 } } },
{ { { 56, 0, 2 }, { 54, 62, 0 } } },
{ { { 57, 0, 1 }, { 62, 47, 0 } } },
{ { { 57, 0, 0 }, { 54, 63, 0 } } },
{ { { 57, 0, 1 }, { 55, 62, 0 } } },
{ { { 57, 0, 2 }, { 55, 63, 0 } } },
{ { { 58, 0, 1 }, { 56, 62, 1 } } },
{ { { 58, 0, 0 }, { 56, 62, 0 } } },
{ { { 58, 0, 1 }, { 56, 63, 0 } } },
{ { { 58, 0, 2 }, { 57, 62, 0 } } },
{ { { 59, 0, 1 }, { 57, 63, 1 } } },
{ { { 59, 0, 0 }, { 57, 63, 0 } } },
{ { { 59, 0, 1 }, { 58, 62, 0 } } },
{ { { 59, 0, 2 }, { 58, 63, 0 } } },
{ { { 60, 0, 1 }, { 59, 62, 1 } } },
{ { { 60, 0, 0 }, { 59, 62, 0 } } },
{ { { 60, 0, 1 }, { 59, 63, 0 } } },
{ { { 60, 0, 2 }, { 60, 62, 0 } } },
{ { { 61, 0, 1 }, { 60, 63, 1 } } },
{ { { 61, 0, 0 }, { 60, 63, 0 } } },
{ { { 61, 0, 1 }, { 61, 62, 0 } } },
{ { { 61, 0, 2 }, { 61, 63, 0 } } },
{ { { 62, 0, 1 }, { 62, 62, 1 } } },
{ { { 62, 0, 0 }, { 62, 62, 0 } } },
{ { { 62, 0, 1 }, { 62, 63, 0 } } },
{ { { 62, 0, 2 }, { 63, 62, 0 } } },
{ { { 63, 0, 1 }, { 63, 63, 1 } } },
{ { { 63, 0, 0 }, { 63, 63, 0 } } }
};
static const DDSSingleColourLookup*
DDS_LOOKUP[] =
{
DDSLookup_5_4,
DDSLookup_6_4,
DDSLookup_5_4
};
/*
Macros
*/
#define C565_r(x) (((x) & 0xF800) >> 11)
#define C565_g(x) (((x) & 0x07E0) >> 5)
#define C565_b(x) ((x) & 0x001F)
#define C565_red(x) ( (C565_r(x) << 3 | C565_r(x) >> 2))
#define C565_green(x) ( (C565_g(x) << 2 | C565_g(x) >> 4))
#define C565_blue(x) ( (C565_b(x) << 3 | C565_b(x) >> 2))
#define DIV2(x) ((x) > 1 ? ((x) >> 1) : 1)
#define FixRange(min, max, steps) \
if (min > max) \
min = max; \
if ((ssize_t) max - min < steps) \
max = MagickMin(min + steps, 255); \
if ((ssize_t) max - min < steps) \
min = MagickMax(0, (ssize_t) max - steps)
#define Dot(left, right) (left.x*right.x) + (left.y*right.y) + (left.z*right.z)
#define VectorInit(vector, value) vector.x = vector.y = vector.z = vector.w \
= value
#define VectorInit3(vector, value) vector.x = vector.y = vector.z = value
#define IsBitMask(mask, r, g, b, a) (mask.r_bitmask == r && mask.g_bitmask == \
g && mask.b_bitmask == b && mask.alpha_bitmask == a)
/*
Forward declarations
*/
static MagickBooleanType
ConstructOrdering(const size_t,const DDSVector4 *,const DDSVector3,
DDSVector4 *,DDSVector4 *,unsigned char *,size_t),
ReadDDSInfo(Image *,DDSInfo *),
ReadDXT1(Image *,DDSInfo *,ExceptionInfo *),
ReadDXT3(Image *,DDSInfo *,ExceptionInfo *),
ReadDXT5(Image *,DDSInfo *,ExceptionInfo *),
ReadUncompressedRGB(Image *,DDSInfo *,ExceptionInfo *),
ReadUncompressedRGBA(Image *,DDSInfo *,ExceptionInfo *),
SkipDXTMipmaps(Image *,DDSInfo *,int,ExceptionInfo *),
SkipRGBMipmaps(Image *,DDSInfo *,int,ExceptionInfo *),
WriteDDSImage(const ImageInfo *,Image *),
WriteMipmaps(Image *,const size_t,const size_t,const size_t,
const MagickBooleanType,const MagickBooleanType,ExceptionInfo *);
static void
RemapIndices(const ssize_t *,const unsigned char *,unsigned char *),
WriteDDSInfo(Image *,const size_t,const size_t,const size_t),
WriteFourCC(Image *,const size_t,const MagickBooleanType,
const MagickBooleanType,ExceptionInfo *),
WriteImageData(Image *,const size_t,const size_t,const MagickBooleanType,
const MagickBooleanType,ExceptionInfo *),
WriteIndices(Image *,const DDSVector3,const DDSVector3, unsigned char *),
WriteSingleColorFit(Image *,const DDSVector4 *,const ssize_t *),
WriteUncompressed(Image *,ExceptionInfo *);
static inline void VectorAdd(const DDSVector4 left, const DDSVector4 right,
DDSVector4 *destination)
{
destination->x = left.x + right.x;
destination->y = left.y + right.y;
destination->z = left.z + right.z;
destination->w = left.w + right.w;
}
static inline void VectorClamp(DDSVector4 *value)
{
value->x = MagickMin(1.0f,MagickMax(0.0f,value->x));
value->y = MagickMin(1.0f,MagickMax(0.0f,value->y));
value->z = MagickMin(1.0f,MagickMax(0.0f,value->z));
value->w = MagickMin(1.0f,MagickMax(0.0f,value->w));
}
static inline void VectorClamp3(DDSVector3 *value)
{
value->x = MagickMin(1.0f,MagickMax(0.0f,value->x));
value->y = MagickMin(1.0f,MagickMax(0.0f,value->y));
value->z = MagickMin(1.0f,MagickMax(0.0f,value->z));
}
static inline void VectorCopy43(const DDSVector4 source,
DDSVector3 *destination)
{
destination->x = source.x;
destination->y = source.y;
destination->z = source.z;
}
static inline void VectorCopy44(const DDSVector4 source,
DDSVector4 *destination)
{
destination->x = source.x;
destination->y = source.y;
destination->z = source.z;
destination->w = source.w;
}
static inline void VectorNegativeMultiplySubtract(const DDSVector4 a,
const DDSVector4 b, const DDSVector4 c, DDSVector4 *destination)
{
destination->x = c.x - (a.x * b.x);
destination->y = c.y - (a.y * b.y);
destination->z = c.z - (a.z * b.z);
destination->w = c.w - (a.w * b.w);
}
static inline void VectorMultiply(const DDSVector4 left,
const DDSVector4 right, DDSVector4 *destination)
{
destination->x = left.x * right.x;
destination->y = left.y * right.y;
destination->z = left.z * right.z;
destination->w = left.w * right.w;
}
static inline void VectorMultiply3(const DDSVector3 left,
const DDSVector3 right, DDSVector3 *destination)
{
destination->x = left.x * right.x;
destination->y = left.y * right.y;
destination->z = left.z * right.z;
}
static inline void VectorMultiplyAdd(const DDSVector4 a, const DDSVector4 b,
const DDSVector4 c, DDSVector4 *destination)
{
destination->x = (a.x * b.x) + c.x;
destination->y = (a.y * b.y) + c.y;
destination->z = (a.z * b.z) + c.z;
destination->w = (a.w * b.w) + c.w;
}
static inline void VectorMultiplyAdd3(const DDSVector3 a, const DDSVector3 b,
const DDSVector3 c, DDSVector3 *destination)
{
destination->x = (a.x * b.x) + c.x;
destination->y = (a.y * b.y) + c.y;
destination->z = (a.z * b.z) + c.z;
}
static inline void VectorReciprocal(const DDSVector4 value,
DDSVector4 *destination)
{
destination->x = 1.0f / value.x;
destination->y = 1.0f / value.y;
destination->z = 1.0f / value.z;
destination->w = 1.0f / value.w;
}
static inline void VectorSubtract(const DDSVector4 left,
const DDSVector4 right, DDSVector4 *destination)
{
destination->x = left.x - right.x;
destination->y = left.y - right.y;
destination->z = left.z - right.z;
destination->w = left.w - right.w;
}
static inline void VectorSubtract3(const DDSVector3 left,
const DDSVector3 right, DDSVector3 *destination)
{
destination->x = left.x - right.x;
destination->y = left.y - right.y;
destination->z = left.z - right.z;
}
static inline void VectorTruncate(DDSVector4 *value)
{
value->x = value->x > 0.0f ? floor(value->x) : ceil(value->x);
value->y = value->y > 0.0f ? floor(value->y) : ceil(value->y);
value->z = value->z > 0.0f ? floor(value->z) : ceil(value->z);
value->w = value->w > 0.0f ? floor(value->w) : ceil(value->w);
}
static inline void VectorTruncate3(DDSVector3 *value)
{
value->x = value->x > 0.0f ? floor(value->x) : ceil(value->x);
value->y = value->y > 0.0f ? floor(value->y) : ceil(value->y);
value->z = value->z > 0.0f ? floor(value->z) : ceil(value->z);
}
static void CalculateColors(unsigned short c0, unsigned short c1,
DDSColors *c, MagickBooleanType ignoreAlpha)
{
c->a[0] = c->a[1] = c->a[2] = c->a[3] = 0;
c->r[0] = (unsigned char) C565_red(c0);
c->g[0] = (unsigned char) C565_green(c0);
c->b[0] = (unsigned char) C565_blue(c0);
c->r[1] = (unsigned char) C565_red(c1);
c->g[1] = (unsigned char) C565_green(c1);
c->b[1] = (unsigned char) C565_blue(c1);
if (ignoreAlpha != MagickFalse || c0 > c1)
{
c->r[2] = (unsigned char) ((2 * c->r[0] + c->r[1]) / 3);
c->g[2] = (unsigned char) ((2 * c->g[0] + c->g[1]) / 3);
c->b[2] = (unsigned char) ((2 * c->b[0] + c->b[1]) / 3);
c->r[3] = (unsigned char) ((c->r[0] + 2 * c->r[1]) / 3);
c->g[3] = (unsigned char) ((c->g[0] + 2 * c->g[1]) / 3);
c->b[3] = (unsigned char) ((c->b[0] + 2 * c->b[1]) / 3);
}
else
{
c->r[2] = (unsigned char) ((c->r[0] + c->r[1]) / 2);
c->g[2] = (unsigned char) ((c->g[0] + c->g[1]) / 2);
c->b[2] = (unsigned char) ((c->b[0] + c->b[1]) / 2);
c->r[3] = c->g[3] = c->b[3] = 0;
c->a[3] = 255;
}
}
static size_t CompressAlpha(const size_t min, const size_t max,
const size_t steps, const ssize_t *alphas, unsigned char* indices)
{
unsigned char
codes[8];
register ssize_t
i;
size_t
error,
index,
j,
least,
value;
codes[0] = (unsigned char) min;
codes[1] = (unsigned char) max;
codes[6] = 0;
codes[7] = 255;
for (i=1; i < (ssize_t) steps; i++)
codes[i+1] = (unsigned char) (((steps-i)*min + i*max) / steps);
error = 0;
for (i=0; i<16; i++)
{
if (alphas[i] == -1)
{
indices[i] = 0;
continue;
}
value = alphas[i];
least = SIZE_MAX;
index = 0;
for (j=0; j<8; j++)
{
size_t
dist;
dist = value - (size_t)codes[j];
dist *= dist;
if (dist < least)
{
least = dist;
index = j;
}
}
indices[i] = (unsigned char)index;
error += least;
}
return error;
}
static void CompressClusterFit(const size_t count,
const DDSVector4 *points, const ssize_t *map, const DDSVector3 principle,
const DDSVector4 metric, DDSVector3 *start, DDSVector3 *end,
unsigned char *indices)
{
DDSVector3
axis;
DDSVector4
grid,
gridrcp,
half,
onethird_onethird2,
pointsWeights[16],
two,
twonineths,
twothirds_twothirds2,
xSumwSum;
float
bestError = 1e+37f;
size_t
bestIteration = 0,
besti = 0,
bestj = 0,
bestk = 0,
iterationIndex;
ssize_t
i;
unsigned char
*o,
order[128],
unordered[16];
VectorInit(half,0.5f);
VectorInit(two,2.0f);
VectorInit(onethird_onethird2,1.0f/3.0f);
onethird_onethird2.w = 1.0f/9.0f;
VectorInit(twothirds_twothirds2,2.0f/3.0f);
twothirds_twothirds2.w = 4.0f/9.0f;
VectorInit(twonineths,2.0f/9.0f);
grid.x = 31.0f;
grid.y = 63.0f;
grid.z = 31.0f;
grid.w = 0.0f;
gridrcp.x = 1.0f/31.0f;
gridrcp.y = 1.0f/63.0f;
gridrcp.z = 1.0f/31.0f;
gridrcp.w = 0.0f;
xSumwSum.x = 0.0f;
xSumwSum.y = 0.0f;
xSumwSum.z = 0.0f;
xSumwSum.w = 0.0f;
ConstructOrdering(count,points,principle,pointsWeights,&xSumwSum,order,0);
for (iterationIndex = 0;;)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic,1) \
num_threads(GetMagickResourceLimit(ThreadResource))
#endif
for (i=0; i < (ssize_t) count; i++)
{
DDSVector4
part0,
part1,
part2;
size_t
ii,
j,
k,
kmin;
VectorInit(part0,0.0f);
for(ii=0; ii < (size_t) i; ii++)
VectorAdd(pointsWeights[ii],part0,&part0);
VectorInit(part1,0.0f);
for (j=(size_t) i;;)
{
if (j == 0)
{
VectorCopy44(pointsWeights[0],&part2);
kmin = 1;
}
else
{
VectorInit(part2,0.0f);
kmin = j;
}
for (k=kmin;;)
{
DDSVector4
a,
alpha2_sum,
alphax_sum,
alphabeta_sum,
b,
beta2_sum,
betax_sum,
e1,
e2,
factor,
part3;
float
error;
VectorSubtract(xSumwSum,part2,&part3);
VectorSubtract(part3,part1,&part3);
VectorSubtract(part3,part0,&part3);
VectorMultiplyAdd(part1,twothirds_twothirds2,part0,&alphax_sum);
VectorMultiplyAdd(part2,onethird_onethird2,alphax_sum,&alphax_sum);
VectorInit(alpha2_sum,alphax_sum.w);
VectorMultiplyAdd(part2,twothirds_twothirds2,part3,&betax_sum);
VectorMultiplyAdd(part1,onethird_onethird2,betax_sum,&betax_sum);
VectorInit(beta2_sum,betax_sum.w);
VectorAdd(part1,part2,&alphabeta_sum);
VectorInit(alphabeta_sum,alphabeta_sum.w);
VectorMultiply(twonineths,alphabeta_sum,&alphabeta_sum);
VectorMultiply(alpha2_sum,beta2_sum,&factor);
VectorNegativeMultiplySubtract(alphabeta_sum,alphabeta_sum,factor,
&factor);
VectorReciprocal(factor,&factor);
VectorMultiply(alphax_sum,beta2_sum,&a);
VectorNegativeMultiplySubtract(betax_sum,alphabeta_sum,a,&a);
VectorMultiply(a,factor,&a);
VectorMultiply(betax_sum,alpha2_sum,&b);
VectorNegativeMultiplySubtract(alphax_sum,alphabeta_sum,b,&b);
VectorMultiply(b,factor,&b);
VectorClamp(&a);
VectorMultiplyAdd(grid,a,half,&a);
VectorTruncate(&a);
VectorMultiply(a,gridrcp,&a);
VectorClamp(&b);
VectorMultiplyAdd(grid,b,half,&b);
VectorTruncate(&b);
VectorMultiply(b,gridrcp,&b);
VectorMultiply(b,b,&e1);
VectorMultiply(e1,beta2_sum,&e1);
VectorMultiply(a,a,&e2);
VectorMultiplyAdd(e2,alpha2_sum,e1,&e1);
VectorMultiply(a,b,&e2);
VectorMultiply(e2,alphabeta_sum,&e2);
VectorNegativeMultiplySubtract(a,alphax_sum,e2,&e2);
VectorNegativeMultiplySubtract(b,betax_sum,e2,&e2);
VectorMultiplyAdd(two,e2,e1,&e2);
VectorMultiply(e2,metric,&e2);
error = e2.x + e2.y + e2.z;
if (error < bestError)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (DDS_CompressClusterFit)
#endif
{
if (error < bestError)
{
VectorCopy43(a,start);
VectorCopy43(b,end);
bestError = error;
besti = i;
bestj = j;
bestk = k;
bestIteration = iterationIndex;
}
}
}
if (k == count)
break;
VectorAdd(pointsWeights[k],part2,&part2);
k++;
}
if (j == count)
break;
VectorAdd(pointsWeights[j],part1,&part1);
j++;
}
}
if (bestIteration != iterationIndex)
break;
iterationIndex++;
if (iterationIndex == 8)
break;
VectorSubtract3(*end,*start,&axis);
if (ConstructOrdering(count,points,axis,pointsWeights,&xSumwSum,order,
iterationIndex) == MagickFalse)
break;
}
o = order + (16*bestIteration);
for (i=0; i < (ssize_t) besti; i++)
unordered[o[i]] = 0;
for (i=besti; i < (ssize_t) bestj; i++)
unordered[o[i]] = 2;
for (i=bestj; i < (ssize_t) bestk; i++)
unordered[o[i]] = 3;
for (i=bestk; i < (ssize_t) count; i++)
unordered[o[i]] = 1;
RemapIndices(map,unordered,indices);
}
static void CompressRangeFit(const size_t count,
const DDSVector4 *points, const ssize_t *map, const DDSVector3 principle,
const DDSVector4 metric, DDSVector3 *start, DDSVector3 *end,
unsigned char *indices)
{
float
d,
bestDist,
max,
min,
val;
DDSVector3
codes[4],
grid,
gridrcp,
half,
dist;
register ssize_t
i;
size_t
bestj,
j;
unsigned char
closest[16];
VectorInit3(half,0.5f);
grid.x = 31.0f;
grid.y = 63.0f;
grid.z = 31.0f;
gridrcp.x = 1.0f/31.0f;
gridrcp.y = 1.0f/63.0f;
gridrcp.z = 1.0f/31.0f;
if (count > 0)
{
VectorCopy43(points[0],start);
VectorCopy43(points[0],end);
min = max = Dot(points[0],principle);
for (i=1; i < (ssize_t) count; i++)
{
val = Dot(points[i],principle);
if (val < min)
{
VectorCopy43(points[i],start);
min = val;
}
else if (val > max)
{
VectorCopy43(points[i],end);
max = val;
}
}
}
VectorClamp3(start);
VectorMultiplyAdd3(grid,*start,half,start);
VectorTruncate3(start);
VectorMultiply3(*start,gridrcp,start);
VectorClamp3(end);
VectorMultiplyAdd3(grid,*end,half,end);
VectorTruncate3(end);
VectorMultiply3(*end,gridrcp,end);
codes[0] = *start;
codes[1] = *end;
codes[2].x = (start->x * (2.0f/3.0f)) + (end->x * (1.0f/3.0f));
codes[2].y = (start->y * (2.0f/3.0f)) + (end->y * (1.0f/3.0f));
codes[2].z = (start->z * (2.0f/3.0f)) + (end->z * (1.0f/3.0f));
codes[3].x = (start->x * (1.0f/3.0f)) + (end->x * (2.0f/3.0f));
codes[3].y = (start->y * (1.0f/3.0f)) + (end->y * (2.0f/3.0f));
codes[3].z = (start->z * (1.0f/3.0f)) + (end->z * (2.0f/3.0f));
for (i=0; i < (ssize_t) count; i++)
{
bestDist = 1e+37f;
bestj = 0;
for (j=0; j < 4; j++)
{
dist.x = (points[i].x - codes[j].x) * metric.x;
dist.y = (points[i].y - codes[j].y) * metric.y;
dist.z = (points[i].z - codes[j].z) * metric.z;
d = Dot(dist,dist);
if (d < bestDist)
{
bestDist = d;
bestj = j;
}
}
closest[i] = (unsigned char) bestj;
}
RemapIndices(map, closest, indices);
}
static void ComputeEndPoints(const DDSSingleColourLookup *lookup[],
const unsigned char *color, DDSVector3 *start, DDSVector3 *end,
unsigned char *index)
{
register ssize_t
i;
size_t
c,
maxError = SIZE_MAX;
for (i=0; i < 2; i++)
{
const DDSSourceBlock*
sources[3];
size_t
error = 0;
for (c=0; c < 3; c++)
{
sources[c] = &lookup[c][color[c]].sources[i];
error += ((size_t) sources[c]->error) * ((size_t) sources[c]->error);
}
if (error > maxError)
continue;
start->x = (float) sources[0]->start / 31.0f;
start->y = (float) sources[1]->start / 63.0f;
start->z = (float) sources[2]->start / 31.0f;
end->x = (float) sources[0]->end / 31.0f;
end->y = (float) sources[1]->end / 63.0f;
end->z = (float) sources[2]->end / 31.0f;
*index = (unsigned char) (2*i);
maxError = error;
}
}
static void ComputePrincipleComponent(const float *covariance,
DDSVector3 *principle)
{
DDSVector4
row0,
row1,
row2,
v;
register ssize_t
i;
row0.x = covariance[0];
row0.y = covariance[1];
row0.z = covariance[2];
row0.w = 0.0f;
row1.x = covariance[1];
row1.y = covariance[3];
row1.z = covariance[4];
row1.w = 0.0f;
row2.x = covariance[2];
row2.y = covariance[4];
row2.z = covariance[5];
row2.w = 0.0f;
VectorInit(v,1.0f);
for (i=0; i < 8; i++)
{
DDSVector4
w;
float
a;
w.x = row0.x * v.x;
w.y = row0.y * v.x;
w.z = row0.z * v.x;
w.w = row0.w * v.x;
w.x = (row1.x * v.y) + w.x;
w.y = (row1.y * v.y) + w.y;
w.z = (row1.z * v.y) + w.z;
w.w = (row1.w * v.y) + w.w;
w.x = (row2.x * v.z) + w.x;
w.y = (row2.y * v.z) + w.y;
w.z = (row2.z * v.z) + w.z;
w.w = (row2.w * v.z) + w.w;
a = (float) PerceptibleReciprocal(MagickMax(w.x,MagickMax(w.y,w.z)));
v.x = w.x * a;
v.y = w.y * a;
v.z = w.z * a;
v.w = w.w * a;
}
VectorCopy43(v,principle);
}
static void ComputeWeightedCovariance(const size_t count,
const DDSVector4 *points, float *covariance)
{
DDSVector3
centroid;
float
total;
size_t
i;
total = 0.0f;
VectorInit3(centroid,0.0f);
for (i=0; i < count; i++)
{
total += points[i].w;
centroid.x += (points[i].x * points[i].w);
centroid.y += (points[i].y * points[i].w);
centroid.z += (points[i].z * points[i].w);
}
if( total > 1.192092896e-07F)
{
centroid.x /= total;
centroid.y /= total;
centroid.z /= total;
}
for (i=0; i < 6; i++)
covariance[i] = 0.0f;
for (i = 0; i < count; i++)
{
DDSVector3
a,
b;
a.x = points[i].x - centroid.x;
a.y = points[i].y - centroid.y;
a.z = points[i].z - centroid.z;
b.x = points[i].w * a.x;
b.y = points[i].w * a.y;
b.z = points[i].w * a.z;
covariance[0] += a.x*b.x;
covariance[1] += a.x*b.y;
covariance[2] += a.x*b.z;
covariance[3] += a.y*b.y;
covariance[4] += a.y*b.z;
covariance[5] += a.z*b.z;
}
}
static MagickBooleanType ConstructOrdering(const size_t count,
const DDSVector4 *points, const DDSVector3 axis, DDSVector4 *pointsWeights,
DDSVector4 *xSumwSum, unsigned char *order, size_t iteration)
{
float
dps[16],
f;
register ssize_t
i;
size_t
j;
unsigned char
c,
*o,
*p;
o = order + (16*iteration);
for (i=0; i < (ssize_t) count; i++)
{
dps[i] = Dot(points[i],axis);
o[i] = (unsigned char)i;
}
for (i=0; i < (ssize_t) count; i++)
{
for (j=i; j > 0 && dps[j] < dps[j - 1]; j--)
{
f = dps[j];
dps[j] = dps[j - 1];
dps[j - 1] = f;
c = o[j];
o[j] = o[j - 1];
o[j - 1] = c;
}
}
for (i=0; i < (ssize_t) iteration; i++)
{
MagickBooleanType
same;
p = order + (16*i);
same = MagickTrue;
for (j=0; j < count; j++)
{
if (o[j] != p[j])
{
same = MagickFalse;
break;
}
}
if (same != MagickFalse)
return MagickFalse;
}
xSumwSum->x = 0;
xSumwSum->y = 0;
xSumwSum->z = 0;
xSumwSum->w = 0;
for (i=0; i < (ssize_t) count; i++)
{
DDSVector4
v;
j = (size_t) o[i];
v.x = points[j].w * points[j].x;
v.y = points[j].w * points[j].y;
v.z = points[j].w * points[j].z;
v.w = points[j].w * 1.0f;
VectorCopy44(v,&pointsWeights[i]);
VectorAdd(*xSumwSum,v,xSumwSum);
}
return MagickTrue;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s D D S %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsDDS() returns MagickTrue if the image format type, identified by the
% magick string, is DDS.
%
% The format of the IsDDS method is:
%
% MagickBooleanType IsDDS(const unsigned char *magick,const size_t length)
%
% A description of each parameter follows:
%
% o magick: compare image format pattern against these bytes.
%
% o length: Specifies the length of the magick string.
%
*/
static MagickBooleanType IsDDS(const unsigned char *magick, const size_t length)
{
if (length < 4)
return(MagickFalse);
if (LocaleNCompare((char *) magick,"DDS ", 4) == 0)
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d D D S I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadDDSImage() reads a DirectDraw Surface image file and returns it. It
% allocates the memory necessary for the new Image structure and returns a
% pointer to the new image.
%
% The format of the ReadDDSImage method is:
%
% Image *ReadDDSImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: The image info.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Image *ReadDDSImage(const ImageInfo *image_info,ExceptionInfo *exception)
{
Image
*image;
MagickBooleanType
status,
cubemap = MagickFalse,
volume = MagickFalse,
matte;
CompressionType
compression;
DDSInfo
dds_info;
DDSDecoder
*decoder;
size_t
n,
num_images;
/*
Open image file.
*/
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImage(image_info);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
image=DestroyImageList(image);
return((Image *) NULL);
}
/*
Initialize image structure.
*/
if (ReadDDSInfo(image, &dds_info) != MagickTrue)
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
if (dds_info.ddscaps2 & DDSCAPS2_CUBEMAP)
cubemap = MagickTrue;
if (dds_info.ddscaps2 & DDSCAPS2_VOLUME && dds_info.depth > 0)
volume = MagickTrue;
(void) SeekBlob(image, 128, SEEK_SET);
/*
Determine pixel format
*/
if (dds_info.pixelformat.flags & DDPF_RGB)
{
compression = NoCompression;
if (dds_info.pixelformat.flags & DDPF_ALPHAPIXELS)
{
matte = MagickTrue;
decoder = ReadUncompressedRGBA;
}
else
{
matte = MagickTrue;
decoder = ReadUncompressedRGB;
}
}
else if (dds_info.pixelformat.flags & DDPF_LUMINANCE)
{
compression = NoCompression;
if (dds_info.pixelformat.flags & DDPF_ALPHAPIXELS)
{
/* Not sure how to handle this */
ThrowReaderException(CorruptImageError, "ImageTypeNotSupported");
}
else
{
matte = MagickFalse;
decoder = ReadUncompressedRGB;
}
}
else if (dds_info.pixelformat.flags & DDPF_FOURCC)
{
switch (dds_info.pixelformat.fourcc)
{
case FOURCC_DXT1:
{
matte = MagickFalse;
compression = DXT1Compression;
decoder = ReadDXT1;
break;
}
case FOURCC_DXT3:
{
matte = MagickTrue;
compression = DXT3Compression;
decoder = ReadDXT3;
break;
}
case FOURCC_DXT5:
{
matte = MagickTrue;
compression = DXT5Compression;
decoder = ReadDXT5;
break;
}
default:
{
/* Unknown FOURCC */
ThrowReaderException(CorruptImageError, "ImageTypeNotSupported");
}
}
}
else
{
/* Neither compressed nor uncompressed... thus unsupported */
ThrowReaderException(CorruptImageError, "ImageTypeNotSupported");
}
num_images = 1;
if (cubemap)
{
/*
Determine number of faces defined in the cubemap
*/
num_images = 0;
if (dds_info.ddscaps2 & DDSCAPS2_CUBEMAP_POSITIVEX) num_images++;
if (dds_info.ddscaps2 & DDSCAPS2_CUBEMAP_NEGATIVEX) num_images++;
if (dds_info.ddscaps2 & DDSCAPS2_CUBEMAP_POSITIVEY) num_images++;
if (dds_info.ddscaps2 & DDSCAPS2_CUBEMAP_NEGATIVEY) num_images++;
if (dds_info.ddscaps2 & DDSCAPS2_CUBEMAP_POSITIVEZ) num_images++;
if (dds_info.ddscaps2 & DDSCAPS2_CUBEMAP_NEGATIVEZ) num_images++;
}
if (volume)
num_images = dds_info.depth;
if ((num_images == 0) || (num_images > GetBlobSize(image)))
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
if (AcquireMagickResource(ListLengthResource,num_images) == MagickFalse)
ThrowReaderException(ResourceLimitError,"ListLengthExceedsLimit");
for (n = 0; n < num_images; n++)
{
if (n != 0)
{
if (EOFBlob(image) != MagickFalse)
ThrowReaderException(CorruptImageError,"UnexpectedEndOfFile");
/* Start a new image */
AcquireNextImage(image_info,image);
if (GetNextImageInList(image) == (Image *) NULL)
return(DestroyImageList(image));
image=SyncNextImageInList(image);
}
image->matte = matte;
image->compression = compression;
image->columns = dds_info.width;
image->rows = dds_info.height;
image->storage_class = DirectClass;
image->endian = LSBEndian;
image->depth = 8;
if (image_info->ping != MagickFalse)
{
(void) CloseBlob(image);
return(GetFirstImageInList(image));
}
status=SetImageExtent(image,image->columns,image->rows);
if (status == MagickFalse)
{
InheritException(exception,&image->exception);
return(DestroyImageList(image));
}
(void) SetImageBackgroundColor(image);
if ((decoder)(image, &dds_info, exception) != MagickTrue)
{
(void) CloseBlob(image);
return(GetFirstImageInList(image));
}
}
(void) CloseBlob(image);
return(GetFirstImageInList(image));
}
static MagickBooleanType ReadDDSInfo(Image *image, DDSInfo *dds_info)
{
size_t
hdr_size,
required;
/* Seek to start of header */
(void) SeekBlob(image, 4, SEEK_SET);
/* Check header field */
hdr_size = ReadBlobLSBLong(image);
if (hdr_size != 124)
return MagickFalse;
/* Fill in DDS info struct */
dds_info->flags = ReadBlobLSBLong(image);
/* Check required flags */
required=(size_t) (DDSD_WIDTH | DDSD_HEIGHT | DDSD_PIXELFORMAT);
if ((dds_info->flags & required) != required)
return MagickFalse;
dds_info->height = ReadBlobLSBLong(image);
dds_info->width = ReadBlobLSBLong(image);
dds_info->pitchOrLinearSize = ReadBlobLSBLong(image);
dds_info->depth = ReadBlobLSBLong(image);
dds_info->mipmapcount = ReadBlobLSBLong(image);
(void) SeekBlob(image, 44, SEEK_CUR); /* reserved region of 11 DWORDs */
/* Read pixel format structure */
hdr_size = ReadBlobLSBLong(image);
if (hdr_size != 32)
return MagickFalse;
dds_info->pixelformat.flags = ReadBlobLSBLong(image);
dds_info->pixelformat.fourcc = ReadBlobLSBLong(image);
dds_info->pixelformat.rgb_bitcount = ReadBlobLSBLong(image);
dds_info->pixelformat.r_bitmask = ReadBlobLSBLong(image);
dds_info->pixelformat.g_bitmask = ReadBlobLSBLong(image);
dds_info->pixelformat.b_bitmask = ReadBlobLSBLong(image);
dds_info->pixelformat.alpha_bitmask = ReadBlobLSBLong(image);
dds_info->ddscaps1 = ReadBlobLSBLong(image);
dds_info->ddscaps2 = ReadBlobLSBLong(image);
(void) SeekBlob(image, 12, SEEK_CUR); /* 3 reserved DWORDs */
return MagickTrue;
}
static MagickBooleanType ReadDXT1(Image *image,DDSInfo *dds_info,
ExceptionInfo *exception)
{
DDSColors
colors;
PixelPacket
*q;
register ssize_t
i,
x;
size_t
bits;
ssize_t
j,
y;
unsigned char
code;
unsigned short
c0,
c1;
for (y = 0; y < (ssize_t) image->rows; y += 4)
{
for (x = 0; x < (ssize_t) image->columns; x += 4)
{
/* Get 4x4 patch of pixels to write on */
q=QueueAuthenticPixels(image,x,y,MagickMin(4,image->columns-x),
MagickMin(4,image->rows-y),exception);
if (q == (PixelPacket *) NULL)
return MagickFalse;
/* Read 8 bytes of data from the image */
c0 = ReadBlobLSBShort(image);
c1 = ReadBlobLSBShort(image);
bits = ReadBlobLSBLong(image);
CalculateColors(c0, c1, &colors, MagickFalse);
if (EOFBlob(image) != MagickFalse)
break;
/* Write the pixels */
for (j = 0; j < 4; j++)
{
for (i = 0; i < 4; i++)
{
if (((x + i) < (ssize_t) image->columns) &&
((y + j) < (ssize_t) image->rows))
{
code=(unsigned char) ((bits >> ((j*4+i)*2)) & 0x3);
SetPixelRed(q,ScaleCharToQuantum(colors.r[code]));
SetPixelGreen(q,ScaleCharToQuantum(colors.g[code]));
SetPixelBlue(q,ScaleCharToQuantum(colors.b[code]));
SetPixelOpacity(q,ScaleCharToQuantum(colors.a[code]));
if ((colors.a[code] != 0) && (image->matte == MagickFalse))
image->matte=MagickTrue; /* Correct matte */
q++;
}
}
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
return MagickFalse;
}
if (EOFBlob(image) != MagickFalse)
break;
}
return(SkipDXTMipmaps(image,dds_info,8,exception));
}
static MagickBooleanType ReadDXT3(Image *image, DDSInfo *dds_info,
ExceptionInfo *exception)
{
DDSColors
colors;
ssize_t
j,
y;
PixelPacket
*q;
register ssize_t
i,
x;
unsigned char
alpha;
size_t
a0,
a1,
bits,
code;
unsigned short
c0,
c1;
for (y = 0; y < (ssize_t) dds_info->height; y += 4)
{
for (x = 0; x < (ssize_t) dds_info->width; x += 4)
{
/* Get 4x4 patch of pixels to write on */
q = QueueAuthenticPixels(image, x, y, MagickMin(4, dds_info->width - x),
MagickMin(4, dds_info->height - y),exception);
if (q == (PixelPacket *) NULL)
return MagickFalse;
/* Read alpha values (8 bytes) */
a0 = ReadBlobLSBLong(image);
a1 = ReadBlobLSBLong(image);
/* Read 8 bytes of data from the image */
c0 = ReadBlobLSBShort(image);
c1 = ReadBlobLSBShort(image);
bits = ReadBlobLSBLong(image);
CalculateColors(c0, c1, &colors, MagickTrue);
if (EOFBlob(image) != MagickFalse)
break;
/* Write the pixels */
for (j = 0; j < 4; j++)
{
for (i = 0; i < 4; i++)
{
if ((x + i) < (ssize_t) dds_info->width && (y + j) < (ssize_t) dds_info->height)
{
code = (bits >> ((4*j+i)*2)) & 0x3;
SetPixelRed(q,ScaleCharToQuantum(colors.r[code]));
SetPixelGreen(q,ScaleCharToQuantum(colors.g[code]));
SetPixelBlue(q,ScaleCharToQuantum(colors.b[code]));
/*
Extract alpha value: multiply 0..15 by 17 to get range 0..255
*/
if (j < 2)
alpha = 17U * (unsigned char) ((a0 >> (4*(4*j+i))) & 0xf);
else
alpha = 17U * (unsigned char) ((a1 >> (4*(4*(j-2)+i))) & 0xf);
SetPixelAlpha(q,ScaleCharToQuantum((unsigned char)
alpha));
q++;
}
}
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
return MagickFalse;
}
if (EOFBlob(image) != MagickFalse)
break;
}
return(SkipDXTMipmaps(image,dds_info,16,exception));
}
static MagickBooleanType ReadDXT5(Image *image, DDSInfo *dds_info,
ExceptionInfo *exception)
{
DDSColors
colors;
ssize_t
j,
y;
MagickSizeType
alpha_bits;
PixelPacket
*q;
register ssize_t
i,
x;
unsigned char
a0,
a1;
size_t
alpha,
bits,
code,
alpha_code;
unsigned short
c0,
c1;
for (y = 0; y < (ssize_t) dds_info->height; y += 4)
{
for (x = 0; x < (ssize_t) dds_info->width; x += 4)
{
/* Get 4x4 patch of pixels to write on */
q = QueueAuthenticPixels(image, x, y, MagickMin(4, dds_info->width - x),
MagickMin(4, dds_info->height - y),exception);
if (q == (PixelPacket *) NULL)
return MagickFalse;
/* Read alpha values (8 bytes) */
a0 = (unsigned char) ReadBlobByte(image);
a1 = (unsigned char) ReadBlobByte(image);
alpha_bits = (MagickSizeType)ReadBlobLSBLong(image);
alpha_bits = alpha_bits | ((MagickSizeType)ReadBlobLSBShort(image) << 32);
/* Read 8 bytes of data from the image */
c0 = ReadBlobLSBShort(image);
c1 = ReadBlobLSBShort(image);
bits = ReadBlobLSBLong(image);
CalculateColors(c0, c1, &colors, MagickTrue);
if (EOFBlob(image) != MagickFalse)
break;
/* Write the pixels */
for (j = 0; j < 4; j++)
{
for (i = 0; i < 4; i++)
{
if ((x + i) < (ssize_t) dds_info->width && (y + j) < (ssize_t) dds_info->height)
{
code = (bits >> ((4*j+i)*2)) & 0x3;
SetPixelRed(q,ScaleCharToQuantum(colors.r[code]));
SetPixelGreen(q,ScaleCharToQuantum(colors.g[code]));
SetPixelBlue(q,ScaleCharToQuantum(colors.b[code]));
/* Extract alpha value */
alpha_code = (size_t) (alpha_bits >> (3*(4*j+i))) & 0x7;
if (alpha_code == 0)
alpha = a0;
else if (alpha_code == 1)
alpha = a1;
else if (a0 > a1)
alpha = ((8-alpha_code) * a0 + (alpha_code-1) * a1) / 7;
else if (alpha_code == 6)
alpha = 0;
else if (alpha_code == 7)
alpha = 255;
else
alpha = (((6-alpha_code) * a0 + (alpha_code-1) * a1) / 5);
SetPixelAlpha(q,ScaleCharToQuantum((unsigned char)
alpha));
q++;
}
}
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
return MagickFalse;
}
if (EOFBlob(image) != MagickFalse)
break;
}
return(SkipDXTMipmaps(image,dds_info,16,exception));
}
static MagickBooleanType ReadUncompressedRGB(Image *image, DDSInfo *dds_info,
ExceptionInfo *exception)
{
PixelPacket
*q;
ssize_t
x, y;
unsigned short
color;
if (dds_info->pixelformat.rgb_bitcount == 8)
(void) SetImageType(image,GrayscaleType);
else if (dds_info->pixelformat.rgb_bitcount == 16 && !IsBitMask(
dds_info->pixelformat,0xf800,0x07e0,0x001f,0x0000))
ThrowBinaryException(CorruptImageError,"ImageTypeNotSupported",
image->filename);
for (y = 0; y < (ssize_t) dds_info->height; y++)
{
q = QueueAuthenticPixels(image, 0, y, dds_info->width, 1,exception);
if (q == (PixelPacket *) NULL)
return MagickFalse;
for (x = 0; x < (ssize_t) dds_info->width; x++)
{
if (dds_info->pixelformat.rgb_bitcount == 8)
SetPixelGray(q,ScaleCharToQuantum(ReadBlobByte(image)));
else if (dds_info->pixelformat.rgb_bitcount == 16)
{
color=ReadBlobShort(image);
SetPixelRed(q,ScaleCharToQuantum((unsigned char)
(((color >> 11)/31.0)*255)));
SetPixelGreen(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 5) >> 10)/63.0)*255)));
SetPixelBlue(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 11) >> 11)/31.0)*255)));
}
else
{
SetPixelBlue(q,ScaleCharToQuantum((unsigned char)
ReadBlobByte(image)));
SetPixelGreen(q,ScaleCharToQuantum((unsigned char)
ReadBlobByte(image)));
SetPixelRed(q,ScaleCharToQuantum((unsigned char)
ReadBlobByte(image)));
if (dds_info->pixelformat.rgb_bitcount == 32)
(void) ReadBlobByte(image);
}
SetPixelAlpha(q,QuantumRange);
q++;
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
return MagickFalse;
}
return(SkipRGBMipmaps(image,dds_info,3,exception));
}
static MagickBooleanType ReadUncompressedRGBA(Image *image, DDSInfo *dds_info,
ExceptionInfo *exception)
{
PixelPacket
*q;
ssize_t
alphaBits,
x,
y;
unsigned short
color;
alphaBits=0;
if (dds_info->pixelformat.rgb_bitcount == 16)
{
if (IsBitMask(dds_info->pixelformat,0x7c00,0x03e0,0x001f,0x8000))
alphaBits=1;
else if (IsBitMask(dds_info->pixelformat,0x00ff,0x00ff,0x00ff,0xff00))
{
alphaBits=2;
(void) SetImageType(image,GrayscaleMatteType);
}
else if (IsBitMask(dds_info->pixelformat,0x0f00,0x00f0,0x000f,0xf000))
alphaBits=4;
else
ThrowBinaryException(CorruptImageError,"ImageTypeNotSupported",
image->filename);
}
for (y = 0; y < (ssize_t) dds_info->height; y++)
{
q = QueueAuthenticPixels(image, 0, y, dds_info->width, 1,exception);
if (q == (PixelPacket *) NULL)
return MagickFalse;
for (x = 0; x < (ssize_t) dds_info->width; x++)
{
if (dds_info->pixelformat.rgb_bitcount == 16)
{
color=ReadBlobShort(image);
if (alphaBits == 1)
{
SetPixelAlpha(q,(color & (1 << 15)) ? QuantumRange : 0);
SetPixelRed(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 1) >> 11)/31.0)*255)));
SetPixelGreen(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 6) >> 11)/31.0)*255)));
SetPixelBlue(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 11) >> 11)/31.0)*255)));
}
else if (alphaBits == 2)
{
SetPixelAlpha(q,ScaleCharToQuantum((unsigned char)
(color >> 8)));
SetPixelGray(q,ScaleCharToQuantum((unsigned char)color));
}
else
{
SetPixelAlpha(q,ScaleCharToQuantum((unsigned char)
(((color >> 12)/15.0)*255)));
SetPixelRed(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 4) >> 12)/15.0)*255)));
SetPixelGreen(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 8) >> 12)/15.0)*255)));
SetPixelBlue(q,ScaleCharToQuantum((unsigned char)
((((unsigned short)(color << 12) >> 12)/15.0)*255)));
}
}
else
{
SetPixelBlue(q,ScaleCharToQuantum((unsigned char)
ReadBlobByte(image)));
SetPixelGreen(q,ScaleCharToQuantum((unsigned char)
ReadBlobByte(image)));
SetPixelRed(q,ScaleCharToQuantum((unsigned char)
ReadBlobByte(image)));
SetPixelAlpha(q,ScaleCharToQuantum((unsigned char)
ReadBlobByte(image)));
}
q++;
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
return MagickFalse;
}
return(SkipRGBMipmaps(image,dds_info,4,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e g i s t e r D D S I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RegisterDDSImage() adds attributes for the DDS image format to
% the list of supported formats. The attributes include the image format
% tag, a method to read and/or write the format, whether the format
% supports the saving of more than one frame to the same file or blob,
% whether the format supports native in-memory I/O, and a brief
% description of the format.
%
% The format of the RegisterDDSImage method is:
%
% RegisterDDSImage(void)
%
*/
ModuleExport size_t RegisterDDSImage(void)
{
MagickInfo
*entry;
entry = SetMagickInfo("DDS");
entry->decoder = (DecodeImageHandler *) ReadDDSImage;
entry->encoder = (EncodeImageHandler *) WriteDDSImage;
entry->magick = (IsImageFormatHandler *) IsDDS;
entry->seekable_stream=MagickTrue;
entry->description = ConstantString("Microsoft DirectDraw Surface");
entry->magick_module = ConstantString("DDS");
(void) RegisterMagickInfo(entry);
entry = SetMagickInfo("DXT1");
entry->decoder = (DecodeImageHandler *) ReadDDSImage;
entry->encoder = (EncodeImageHandler *) WriteDDSImage;
entry->magick = (IsImageFormatHandler *) IsDDS;
entry->seekable_stream=MagickTrue;
entry->description = ConstantString("Microsoft DirectDraw Surface");
entry->magick_module = ConstantString("DDS");
(void) RegisterMagickInfo(entry);
entry = SetMagickInfo("DXT5");
entry->decoder = (DecodeImageHandler *) ReadDDSImage;
entry->encoder = (EncodeImageHandler *) WriteDDSImage;
entry->magick = (IsImageFormatHandler *) IsDDS;
entry->seekable_stream=MagickTrue;
entry->description = ConstantString("Microsoft DirectDraw Surface");
entry->magick_module = ConstantString("DDS");
(void) RegisterMagickInfo(entry);
return(MagickImageCoderSignature);
}
static void RemapIndices(const ssize_t *map, const unsigned char *source,
unsigned char *target)
{
register ssize_t
i;
for (i = 0; i < 16; i++)
{
if (map[i] == -1)
target[i] = 3;
else
target[i] = source[map[i]];
}
}
/*
Skip the mipmap images for compressed (DXTn) dds files
*/
static MagickBooleanType SkipDXTMipmaps(Image *image,DDSInfo *dds_info,
int texel_size,ExceptionInfo *exception)
{
register ssize_t
i;
MagickOffsetType
offset;
size_t
h,
w;
/*
Only skip mipmaps for textures and cube maps
*/
if (EOFBlob(image) != MagickFalse)
{
ThrowFileException(exception,CorruptImageWarning,"UnexpectedEndOfFile",
image->filename);
return(MagickFalse);
}
if (dds_info->ddscaps1 & DDSCAPS_MIPMAP
&& (dds_info->ddscaps1 & DDSCAPS_TEXTURE
|| dds_info->ddscaps2 & DDSCAPS2_CUBEMAP))
{
w = DIV2(dds_info->width);
h = DIV2(dds_info->height);
/*
Mipmapcount includes the main image, so start from one
*/
for (i = 1; (i < (ssize_t) dds_info->mipmapcount) && w && h; i++)
{
offset = (MagickOffsetType) ((w + 3) / 4) * ((h + 3) / 4) * texel_size;
if (SeekBlob(image,offset,SEEK_CUR) < 0)
break;
if ((w == 1) && (h == 1))
break;
w = DIV2(w);
h = DIV2(h);
}
}
return(MagickTrue);
}
/*
Skip the mipmap images for uncompressed (RGB or RGBA) dds files
*/
static MagickBooleanType SkipRGBMipmaps(Image *image,DDSInfo *dds_info,
int pixel_size,ExceptionInfo *exception)
{
MagickOffsetType
offset;
register ssize_t
i;
size_t
h,
w;
/*
Only skip mipmaps for textures and cube maps
*/
if (EOFBlob(image) != MagickFalse)
{
ThrowFileException(exception,CorruptImageError,"UnexpectedEndOfFile",
image->filename);
return(MagickFalse);
}
if (dds_info->ddscaps1 & DDSCAPS_MIPMAP
&& (dds_info->ddscaps1 & DDSCAPS_TEXTURE
|| dds_info->ddscaps2 & DDSCAPS2_CUBEMAP))
{
w = DIV2(dds_info->width);
h = DIV2(dds_info->height);
/*
Mipmapcount includes the main image, so start from one
*/
for (i=1; (i < (ssize_t) dds_info->mipmapcount) && w && h; i++)
{
offset = (MagickOffsetType) w * h * pixel_size;
if (SeekBlob(image,offset,SEEK_CUR) < 0)
break;
w = DIV2(w);
h = DIV2(h);
if ((w == 1) && (h == 1))
break;
}
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U n r e g i s t e r D D S I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UnregisterDDSImage() removes format registrations made by the
% DDS module from the list of supported formats.
%
% The format of the UnregisterDDSImage method is:
%
% UnregisterDDSImage(void)
%
*/
ModuleExport void UnregisterDDSImage(void)
{
(void) UnregisterMagickInfo("DDS");
(void) UnregisterMagickInfo("DXT1");
(void) UnregisterMagickInfo("DXT5");
}
static void WriteAlphas(Image *image, const ssize_t* alphas, size_t min5,
size_t max5, size_t min7, size_t max7)
{
register ssize_t
i;
size_t
err5,
err7,
j;
unsigned char
indices5[16],
indices7[16];
FixRange(min5,max5,5);
err5 = CompressAlpha(min5,max5,5,alphas,indices5);
FixRange(min7,max7,7);
err7 = CompressAlpha(min7,max7,7,alphas,indices7);
if (err7 < err5)
{
for (i=0; i < 16; i++)
{
unsigned char
index;
index = indices7[i];
if( index == 0 )
indices5[i] = 1;
else if (index == 1)
indices5[i] = 0;
else
indices5[i] = 9 - index;
}
min5 = max7;
max5 = min7;
}
(void) WriteBlobByte(image,(unsigned char) min5);
(void) WriteBlobByte(image,(unsigned char) max5);
for(i=0; i < 2; i++)
{
size_t
value = 0;
for (j=0; j < 8; j++)
{
size_t index = (size_t) indices5[j + i*8];
value |= ( index << 3*j );
}
for (j=0; j < 3; j++)
{
size_t byte = (value >> 8*j) & 0xff;
(void) WriteBlobByte(image,(unsigned char) byte);
}
}
}
static void WriteCompressed(Image *image, const size_t count,
DDSVector4* points, const ssize_t* map, const MagickBooleanType clusterFit)
{
float
covariance[16];
DDSVector3
end,
principle,
start;
DDSVector4
metric;
unsigned char
indices[16];
VectorInit(metric,1.0f);
VectorInit3(start,0.0f);
VectorInit3(end,0.0f);
ComputeWeightedCovariance(count,points,covariance);
ComputePrincipleComponent(covariance,&principle);
if (clusterFit == MagickFalse || count == 0)
CompressRangeFit(count,points,map,principle,metric,&start,&end,indices);
else
CompressClusterFit(count,points,map,principle,metric,&start,&end,indices);
WriteIndices(image,start,end,indices);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e D D S I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WriteDDSImage() writes a DirectDraw Surface image file in the DXT5 format.
%
% The format of the WriteBMPImage method is:
%
% MagickBooleanType WriteDDSImage(const ImageInfo *image_info,Image *image)
%
% A description of each parameter follows.
%
% o image_info: the image info.
%
% o image: The image.
%
*/
static MagickBooleanType WriteDDSImage(const ImageInfo *image_info,
Image *image)
{
const char
*option;
size_t
compression,
columns,
maxMipmaps,
mipmaps,
pixelFormat,
rows;
MagickBooleanType
clusterFit,
status,
weightByAlpha;
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=OpenBlob(image_info,image,WriteBinaryBlobMode,&image->exception);
if (status == MagickFalse)
return(status);
(void) TransformImageColorspace(image,sRGBColorspace);
pixelFormat=DDPF_FOURCC;
compression=FOURCC_DXT5;
if (!image->matte)
compression=FOURCC_DXT1;
if (LocaleCompare(image_info->magick,"dxt1") == 0)
compression=FOURCC_DXT1;
option=GetImageOption(image_info,"dds:compression");
if (option != (char *) NULL)
{
if (LocaleCompare(option,"dxt1") == 0)
compression=FOURCC_DXT1;
if (LocaleCompare(option,"none") == 0)
pixelFormat=DDPF_RGB;
}
clusterFit=MagickFalse;
weightByAlpha=MagickFalse;
if (pixelFormat == DDPF_FOURCC)
{
option=GetImageOption(image_info,"dds:cluster-fit");
if (IsStringTrue(option) != MagickFalse)
{
clusterFit=MagickTrue;
if (compression != FOURCC_DXT1)
{
option=GetImageOption(image_info,"dds:weight-by-alpha");
if (IsStringTrue(option) != MagickFalse)
weightByAlpha=MagickTrue;
}
}
}
maxMipmaps=SIZE_MAX;
mipmaps=0;
if ((image->columns & (image->columns - 1)) == 0 &&
(image->rows & (image->rows - 1)) == 0)
{
option=GetImageOption(image_info,"dds:mipmaps");
if (option != (char *) NULL)
maxMipmaps=StringToUnsignedLong(option);
if (maxMipmaps != 0)
{
columns=image->columns;
rows=image->rows;
while ((columns != 1 || rows != 1) && mipmaps != maxMipmaps)
{
columns=DIV2(columns);
rows=DIV2(rows);
mipmaps++;
}
}
}
WriteDDSInfo(image,pixelFormat,compression,mipmaps);
WriteImageData(image,pixelFormat,compression,clusterFit,weightByAlpha,
&image->exception);
if (mipmaps > 0 && WriteMipmaps(image,pixelFormat,compression,mipmaps,
clusterFit,weightByAlpha,&image->exception) == MagickFalse)
return(MagickFalse);
(void) CloseBlob(image);
return(MagickTrue);
}
static void WriteDDSInfo(Image *image, const size_t pixelFormat,
const size_t compression, const size_t mipmaps)
{
char
software[MaxTextExtent];
register ssize_t
i;
unsigned int
format,
caps,
flags;
flags=(unsigned int) (DDSD_CAPS | DDSD_WIDTH | DDSD_HEIGHT |
DDSD_PIXELFORMAT);
caps=(unsigned int) DDSCAPS_TEXTURE;
format=(unsigned int) pixelFormat;
if (format == DDPF_FOURCC)
flags=flags | DDSD_LINEARSIZE;
else
flags=flags | DDSD_PITCH;
if (mipmaps > 0)
{
flags=flags | (unsigned int) DDSD_MIPMAPCOUNT;
caps=caps | (unsigned int) (DDSCAPS_MIPMAP | DDSCAPS_COMPLEX);
}
if (format != DDPF_FOURCC && image->matte)
format=format | DDPF_ALPHAPIXELS;
(void) WriteBlob(image,4,(unsigned char *) "DDS ");
(void) WriteBlobLSBLong(image,124);
(void) WriteBlobLSBLong(image,flags);
(void) WriteBlobLSBLong(image,(unsigned int) image->rows);
(void) WriteBlobLSBLong(image,(unsigned int) image->columns);
if (pixelFormat == DDPF_FOURCC)
{
/* Compressed DDS requires linear compressed size of first image */
if (compression == FOURCC_DXT1)
(void) WriteBlobLSBLong(image,(unsigned int) (MagickMax(1,
(image->columns+3)/4)*MagickMax(1,(image->rows+3)/4)*8));
else /* DXT5 */
(void) WriteBlobLSBLong(image,(unsigned int) (MagickMax(1,
(image->columns+3)/4)*MagickMax(1,(image->rows+3)/4)*16));
}
else
{
/* Uncompressed DDS requires byte pitch of first image */
if (image->matte != MagickFalse)
(void) WriteBlobLSBLong(image,(unsigned int) (image->columns * 4));
else
(void) WriteBlobLSBLong(image,(unsigned int) (image->columns * 3));
}
(void) WriteBlobLSBLong(image,0x00);
(void) WriteBlobLSBLong(image,(unsigned int) mipmaps+1);
(void) memset(software,0,sizeof(software));
(void) CopyMagickString(software,"IMAGEMAGICK",MaxTextExtent);
(void) WriteBlob(image,44,(unsigned char *) software);
(void) WriteBlobLSBLong(image,32);
(void) WriteBlobLSBLong(image,format);
if (pixelFormat == DDPF_FOURCC)
{
(void) WriteBlobLSBLong(image,(unsigned int) compression);
for(i=0;i < 5;i++) /* bitcount / masks */
(void) WriteBlobLSBLong(image,0x00);
}
else
{
(void) WriteBlobLSBLong(image,0x00);
if (image->matte != MagickFalse)
{
(void) WriteBlobLSBLong(image,32);
(void) WriteBlobLSBLong(image,0xff0000);
(void) WriteBlobLSBLong(image,0xff00);
(void) WriteBlobLSBLong(image,0xff);
(void) WriteBlobLSBLong(image,0xff000000);
}
else
{
(void) WriteBlobLSBLong(image,24);
(void) WriteBlobLSBLong(image,0xff0000);
(void) WriteBlobLSBLong(image,0xff00);
(void) WriteBlobLSBLong(image,0xff);
(void) WriteBlobLSBLong(image,0x00);
}
}
(void) WriteBlobLSBLong(image,caps);
for(i=0;i < 4;i++) /* ddscaps2 + reserved region */
(void) WriteBlobLSBLong(image,0x00);
}
static void WriteFourCC(Image *image, const size_t compression,
const MagickBooleanType clusterFit, const MagickBooleanType weightByAlpha,
ExceptionInfo *exception)
{
register const PixelPacket
*p;
register ssize_t
x;
ssize_t
i,
y,
bx,
by;
for (y=0; y < (ssize_t) image->rows; y+=4)
{
for (x=0; x < (ssize_t) image->columns; x+=4)
{
MagickBooleanType
match;
DDSVector4
point,
points[16];
size_t
count = 0,
max5 = 0,
max7 = 0,
min5 = 255,
min7 = 255,
columns = 4,
rows = 4;
ssize_t
alphas[16],
map[16];
unsigned char
alpha;
if (x + columns >= image->columns)
columns = image->columns - x;
if (y + rows >= image->rows)
rows = image->rows - y;
p=GetVirtualPixels(image,x,y,columns,rows,exception);
if (p == (const PixelPacket *) NULL)
break;
for (i=0; i<16; i++)
{
map[i] = -1;
alphas[i] = -1;
}
for (by=0; by < (ssize_t) rows; by++)
{
for (bx=0; bx < (ssize_t) columns; bx++)
{
if (compression == FOURCC_DXT5)
alpha = ScaleQuantumToChar(GetPixelAlpha(p));
else
alpha = 255;
if (compression == FOURCC_DXT5)
{
if (alpha < min7)
min7 = alpha;
if (alpha > max7)
max7 = alpha;
if (alpha != 0 && alpha < min5)
min5 = alpha;
if (alpha != 255 && alpha > max5)
max5 = alpha;
}
alphas[4*by + bx] = (size_t)alpha;
point.x = (float)ScaleQuantumToChar(GetPixelRed(p)) / 255.0f;
point.y = (float)ScaleQuantumToChar(GetPixelGreen(p)) / 255.0f;
point.z = (float)ScaleQuantumToChar(GetPixelBlue(p)) / 255.0f;
point.w = weightByAlpha ? (float)(alpha + 1) / 256.0f : 1.0f;
p++;
match = MagickFalse;
for (i=0; i < (ssize_t) count; i++)
{
if ((points[i].x == point.x) &&
(points[i].y == point.y) &&
(points[i].z == point.z) &&
(alpha >= 128 || compression == FOURCC_DXT5))
{
points[i].w += point.w;
map[4*by + bx] = i;
match = MagickTrue;
break;
}
}
if (match != MagickFalse)
continue;
points[count].x = point.x;
points[count].y = point.y;
points[count].z = point.z;
points[count].w = point.w;
map[4*by + bx] = count;
count++;
}
}
for (i=0; i < (ssize_t) count; i++)
points[i].w = sqrt(points[i].w);
if (compression == FOURCC_DXT5)
WriteAlphas(image,alphas,min5,max5,min7,max7);
if (count == 1)
WriteSingleColorFit(image,points,map);
else
WriteCompressed(image,count,points,map,clusterFit);
}
}
}
static void WriteImageData(Image *image, const size_t pixelFormat,
const size_t compression, const MagickBooleanType clusterFit,
const MagickBooleanType weightByAlpha, ExceptionInfo *exception)
{
if (pixelFormat == DDPF_FOURCC)
WriteFourCC(image,compression,clusterFit,weightByAlpha,exception);
else
WriteUncompressed(image,exception);
}
static inline size_t ClampToLimit(const float value,
const size_t limit)
{
size_t
result = (int) (value + 0.5f);
if (result < 0.0f)
return(0);
if (result > limit)
return(limit);
return result;
}
static inline size_t ColorTo565(const DDSVector3 point)
{
size_t r = ClampToLimit(31.0f*point.x,31);
size_t g = ClampToLimit(63.0f*point.y,63);
size_t b = ClampToLimit(31.0f*point.z,31);
return (r << 11) | (g << 5) | b;
}
static void WriteIndices(Image *image, const DDSVector3 start,
const DDSVector3 end, unsigned char* indices)
{
register ssize_t
i;
size_t
a,
b;
unsigned char
remapped[16];
const unsigned char
*ind;
a = ColorTo565(start);
b = ColorTo565(end);
for (i=0; i<16; i++)
{
if( a < b )
remapped[i] = (indices[i] ^ 0x1) & 0x3;
else if( a == b )
remapped[i] = 0;
else
remapped[i] = indices[i];
}
if( a < b )
Swap(a,b);
(void) WriteBlobByte(image,(unsigned char) (a & 0xff));
(void) WriteBlobByte(image,(unsigned char) (a >> 8));
(void) WriteBlobByte(image,(unsigned char) (b & 0xff));
(void) WriteBlobByte(image,(unsigned char) (b >> 8));
for (i=0; i<4; i++)
{
ind = remapped + 4*i;
(void) WriteBlobByte(image,ind[0] | (ind[1] << 2) | (ind[2] << 4) |
(ind[3] << 6));
}
}
static MagickBooleanType WriteMipmaps(Image *image, const size_t pixelFormat,
const size_t compression, const size_t mipmaps,
const MagickBooleanType clusterFit, const MagickBooleanType weightByAlpha,
ExceptionInfo *exception)
{
Image*
resize_image;
register ssize_t
i;
size_t
columns,
rows;
columns = image->columns;
rows = image->rows;
for (i=0; i< (ssize_t) mipmaps; i++)
{
resize_image = ResizeImage(image,DIV2(columns),DIV2(rows),TriangleFilter,1.0,
exception);
if (resize_image == (Image *) NULL)
return(MagickFalse);
DestroyBlob(resize_image);
resize_image->blob=ReferenceBlob(image->blob);
WriteImageData(resize_image,pixelFormat,compression,weightByAlpha,
clusterFit,exception);
resize_image=DestroyImage(resize_image);
columns = DIV2(columns);
rows = DIV2(rows);
}
return(MagickTrue);
}
static void WriteSingleColorFit(Image *image, const DDSVector4* points,
const ssize_t* map)
{
DDSVector3
start,
end;
register ssize_t
i;
unsigned char
color[3],
index,
indexes[16],
indices[16];
color[0] = (unsigned char) ClampToLimit(255.0f*points->x,255);
color[1] = (unsigned char) ClampToLimit(255.0f*points->y,255);
color[2] = (unsigned char) ClampToLimit(255.0f*points->z,255);
index=0;
ComputeEndPoints(DDS_LOOKUP,color,&start,&end,&index);
for (i=0; i< 16; i++)
indexes[i]=index;
RemapIndices(map,indexes,indices);
WriteIndices(image,start,end,indices);
}
static void WriteUncompressed(Image *image, ExceptionInfo *exception)
{
register const PixelPacket
*p;
register ssize_t
x;
ssize_t
y;
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
(void) WriteBlobByte(image,ScaleQuantumToChar(GetPixelBlue(p)));
(void) WriteBlobByte(image,ScaleQuantumToChar(GetPixelGreen(p)));
(void) WriteBlobByte(image,ScaleQuantumToChar(GetPixelRed(p)));
if (image->matte)
(void) WriteBlobByte(image,ScaleQuantumToChar(GetPixelAlpha(p)));
p++;
}
}
}
|
task-taskwait-nested.c | /*
* task-taskwait-nested.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
#include <omp.h>
#include <stdio.h>
#include <unistd.h>
#include "ompt/ompt-signal.h"
int main(int argc, char *argv[]) {
int var = 0, a = 0;
#pragma omp parallel num_threads(2) shared(var, a)
#pragma omp master
{
#pragma omp task shared(var, a)
{
#pragma omp task shared(var, a)
{
// wait for master to pass the taskwait
OMPT_SIGNAL(a);
OMPT_WAIT(a, 2);
var++;
}
}
// Give other thread time to steal the task and execute its child.
OMPT_WAIT(a, 1);
// Only directly generated children are guaranteed to be executed.
#pragma omp taskwait
OMPT_SIGNAL(a);
var++;
}
int error = (var != 2);
fprintf(stderr, "DONE\n");
return error;
}
// CHECK: WARNING: ThreadSanitizer: data race
// CHECK-NEXT: {{(Write|Read)}} of size 4
// CHECK-NEXT: #0 {{.*}}task-taskwait-nested.c:34
// CHECK: Previous write of size 4
// CHECK-NEXT: #0 {{.*}}task-taskwait-nested.c:44
// CHECK: DONE
// CHECK: ThreadSanitizer: reported 1 warnings
|
squareddifference_ref.c | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Copyright (c) 2021, OPEN AI LAB
* Author: qtang@openailab.com
*/
#include "graph/tensor.h"
#include "graph/node.h"
#include "graph/graph.h"
#include "utility/sys_port.h"
#include "utility/float.h"
#include "utility/log.h"
#include "device/cpu/cpu_node.h"
#include "device/cpu/cpu_graph.h"
#include "device/cpu/cpu_module.h"
#include <math.h>
int ref_squareddifference_fp32(struct tensor* input_tensor_0, struct tensor* input_tensor_1,
struct tensor* output_tensor, int num_thread)
{
// dims size = 2 or 3
if (input_tensor_0->dim_num < 4)
{
float* input0 = (float*)input_tensor_0->data;
float* input1 = (float*)input_tensor_1->data;
float* output = (float*)output_tensor->data;
int total_size = output_tensor->elem_num;
for (int i = 0; i < total_size; i++)
{
output[i] = powf((input0[i] - input1[i]), 2);
}
return 0;
}
// dims size 3
else if (output_tensor->dim_num == 4)
{
int w = output_tensor->dims[3];
int h = output_tensor->dims[2];
int channels = output_tensor->dims[1];
int size = h * w;
int c_step = h * w;
float* input0 = (float*)input_tensor_0->data;
float* input1 = (float*)input_tensor_1->data;
float* output = (float*)output_tensor->data;
#pragma omp parallel for num_threads(num_thread)
for (int q = 0; q < channels; q++)
{
float* src0 = input0 + c_step * q;
float* src1 = input1 + c_step * q;
float* dst = output + c_step * q;
for (int i = 0; i < size; i++)
{
dst[i] = powf((src0[i] - src1[i]), 2);
}
}
return 0;
}
return -1;
}
int ref_squareddifference_uint8(struct tensor* input_tensor_0, struct tensor* input_tensor_1,
struct tensor* output_tensor, int num_thread)
{
/* dequant */
uint8_t* input0_uint8 = (uint8_t*)input_tensor_0->data;
uint8_t* input1_uint8 = (uint8_t*)input_tensor_1->data;
uint8_t* output_uint8 = (uint8_t*)output_tensor->data;
float input0_scale = input_tensor_0->scale;
float input1_scale = input_tensor_1->scale;
float output_scale = output_tensor->scale;
int32_t input0_zero = input_tensor_0->zero_point;
int32_t input1_zero = input_tensor_1->zero_point;
int32_t output_zero = output_tensor->zero_point;
int input0_size = input_tensor_0->elem_num;
int input1_size = input_tensor_1->elem_num;
int output_size = output_tensor->elem_num;
float* input0 = (float*)sys_malloc(input0_size * sizeof(float));
float* input1 = (float*)sys_malloc(input1_size * sizeof(float));
float* output = (float*)sys_malloc(output_size * sizeof(float));
for (int i = 0; i < input0_size; i++)
{
input0[i] = ((float)input0_uint8[i] - (float)input0_zero) * input0_scale;
}
for (int i = 0; i < input1_size; i++)
{
input1[i] = ((float)input1_uint8[i] - (float)input1_zero) * input1_scale;
}
// dims size = 2 or 3
if (input_tensor_0->dim_num < 4)
{
int total_size = output_tensor->elem_num;
for (int i = 0; i < total_size; i++)
{
output[i] = powf((input0[i] - input1[i]), 2);
}
return 0;
}
// dims size 3
else if (output_tensor->dim_num == 4)
{
int w = output_tensor->dims[3];
int h = output_tensor->dims[2];
int channels = output_tensor->dims[1];
int size = h * w;
int c_step = h * w;
#pragma omp parallel for num_threads(num_thread)
for (int q = 0; q < channels; q++)
{
float* src0 = input0 + c_step * q;
float* src1 = input1 + c_step * q;
float* dst = output + c_step * q;
for (int i = 0; i < size; i++)
{
dst[i] = powf((src0[i] - src1[i]), 2);
}
}
return 0;
}
/* quant */
for (int i = 0; i < output_size; i++)
{
int udata = round(output[i] / output_scale + output_zero);
if (udata > 255)
udata = 255;
else if (udata < 0)
udata = 0;
output_uint8[i] = udata;
}
sys_free(input0);
sys_free(input1);
sys_free(output);
return -1;
}
static int init_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int release_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int prerun(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int run(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct node* ir_node = exec_node->ir_node;
struct graph* ir_graph = ir_node->graph;
struct tensor* input_tensor_0;
struct tensor* input_tensor_1;
struct tensor* output_tensor;
int layout = ir_graph->graph_layout;
input_tensor_0 = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[0]);
input_tensor_1 = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[1]);
output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
int ret = -1;
if (input_tensor_0->data_type == TENGINE_DT_FP32)
ret = ref_squareddifference_fp32(input_tensor_0, input_tensor_1, output_tensor, exec_graph->num_thread);
else if (input_tensor_0->data_type == TENGINE_DT_UINT8)
ret = ref_squareddifference_uint8(input_tensor_0, input_tensor_1, output_tensor, exec_graph->num_thread);
return ret;
}
static int score(struct node_ops* node_ops, struct exec_graph* exec_graph, struct node* exec_node)
{
return OPS_SCORE_CANDO;
}
static struct node_ops hcl_node_ops = {.prerun = prerun,
.run = run,
.reshape = NULL,
.postrun = NULL,
.init_node = init_node,
.release_node = release_node,
.score = score};
int register_squareddifference_ref_op()
{
return register_builtin_node_ops(OP_SQUAREDDIFFERENCE, &hcl_node_ops);
}
int unregister_squareddifference_ref_op()
{
return unregister_builtin_node_ops(OP_SQUAREDDIFFERENCE, &hcl_node_ops);
}
|
rakp_fmt_plug.c | /*
* This software is Copyright (c) 2013 magnum, and it is hereby released to the
* general public under the following terms: Redistribution and use in source
* and binary forms, with or without modification, are permitted.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_rakp;
#elif FMT_REGISTERS_H
john_register_one(&fmt_rakp);
#else
#include <string.h>
#include "arch.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 2048 // tuned for i7 using SSE2 and w/o HT
#endif
#endif
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "sha.h"
#include "johnswap.h"
#include "simd-intrinsics.h"
#include "memdbg.h"
#define FORMAT_LABEL "RAKP"
#define FORMAT_NAME "IPMI 2.0 RAKP (RMCP+)"
#ifdef SIMD_COEF_32
#define SHA1_N (SIMD_PARA_SHA1 * SIMD_COEF_32)
#endif
#define ALGORITHM_NAME "HMAC-SHA1 " SHA1_ALGORITHM_NAME
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define PLAINTEXT_LENGTH 125
#define PAD_SIZE 64
#define BINARY_SIZE 20
#define BINARY_ALIGN sizeof(uint32_t)
#define SALT_LENGTH (2 * PAD_SIZE)
#define SALT_ALIGN MEM_ALIGN_NONE
#define SALT_MIN_SIZE (PAD_SIZE - 8)
#define SALT_MAX_SIZE (2 * PAD_SIZE - 8 - 1)
#define FORMAT_TAG "$rakp$"
#define TAG_LENGTH (sizeof(FORMAT_TAG) - 1)
#ifdef SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT SHA1_N
#define MAX_KEYS_PER_CRYPT SHA1_N
#define GETPOS(i, index) ((index & (SIMD_COEF_32 - 1)) * 4 + ((i) & (0xffffffff - 3)) * SIMD_COEF_32 + (3 - ((i) & 3)) + (unsigned int)index/SIMD_COEF_32 * SHA_BUF_SIZ * 4 * SIMD_COEF_32)
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
static struct fmt_tests tests[] = {
{"$rakp$a4a3a2a03f0b000094272eb1ba576450b0d98ad10727a9fb0ab83616e099e8bf5f7366c9c03d36a3000000000000000000000000000000001404726f6f74$0ea27d6d5effaa996e5edc855b944e179a2f2434", "calvin"},
{"$rakp$c358d2a72f0c00001135f9b254c274629208b22f1166d94d2eba47f21093e9734355a33593da16f2000000000000000000000000000000001404726f6f74$41fce60acf2885f87fcafdf658d6f97db12639a9", "calvin"},
{"$rakp$b7c2d6f13a43dce2e44ad120a9cd8a13d0ca23f0414275c0bbe1070d2d1299b1c04da0f1a0f1e4e2537300263a2200000000000000000000140768617368636174$472bdabe2d5d4bffd6add7b3ba79a291d104a9ef", "hashcat"},
/* dummy hash for testing long salts */
{"$rakp$787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878787878$ba4ecc30a0b36a6ba0db862fc95201a81b9252ee", ""},
{NULL}
};
#ifdef SIMD_COEF_32
#define cur_salt rakp_cur_salt
static unsigned char *crypt_key;
static unsigned char *ipad, *prep_ipad;
static unsigned char *opad, *prep_opad;
JTR_ALIGN(MEM_ALIGN_SIMD) unsigned char cur_salt[2][SHA_BUF_SIZ * 4 * SHA1_N];
static int bufsize;
#else
static struct {
int length;
unsigned char salt[SALT_LENGTH];
} cur_salt;
static uint32_t (*crypt_key)[BINARY_SIZE / sizeof(uint32_t)];
static unsigned char (*ipad)[PAD_SIZE];
static unsigned char (*opad)[PAD_SIZE];
static SHA_CTX *ipad_ctx;
static SHA_CTX *opad_ctx;
#endif
static char (*saved_plain)[PLAINTEXT_LENGTH + 1];
static int new_keys;
#define SALT_SIZE sizeof(cur_salt)
#ifdef SIMD_COEF_32
static void clear_keys(void)
{
memset(ipad, 0x36, bufsize);
memset(opad, 0x5C, bufsize);
}
#endif
static void init(struct fmt_main *self)
{
#ifdef SIMD_COEF_32
int i;
#endif
#ifdef _OPENMP
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
#ifdef SIMD_COEF_32
bufsize = sizeof(*opad) * self->params.max_keys_per_crypt * SHA_BUF_SIZ * 4;
crypt_key = mem_calloc_align(1, bufsize, MEM_ALIGN_SIMD);
ipad = mem_calloc_align(1, bufsize, MEM_ALIGN_SIMD);
opad = mem_calloc_align(1, bufsize, MEM_ALIGN_SIMD);
prep_ipad = mem_calloc_align(self->params.max_keys_per_crypt *
BINARY_SIZE,
sizeof(*prep_ipad), MEM_ALIGN_SIMD);
prep_opad = mem_calloc_align(self->params.max_keys_per_crypt *
BINARY_SIZE,
sizeof(*prep_opad), MEM_ALIGN_SIMD);
for (i = 0; i < self->params.max_keys_per_crypt; ++i) {
crypt_key[GETPOS(BINARY_SIZE, i)] = 0x80;
((unsigned int*)crypt_key)[15 * SIMD_COEF_32 + (i&(SIMD_COEF_32-1)) + i/SIMD_COEF_32 * SHA_BUF_SIZ * SIMD_COEF_32] = (BINARY_SIZE + 64) << 3;
}
clear_keys();
#else
crypt_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_key));
ipad = mem_calloc(self->params.max_keys_per_crypt, sizeof(*ipad));
opad = mem_calloc(self->params.max_keys_per_crypt, sizeof(*opad));
ipad_ctx = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*ipad_ctx));
opad_ctx = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*opad_ctx));
#endif
saved_plain = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_plain));
}
static void done(void)
{
MEM_FREE(saved_plain);
#ifdef SIMD_COEF_32
MEM_FREE(prep_opad);
MEM_FREE(prep_ipad);
#else
MEM_FREE(opad_ctx);
MEM_FREE(ipad_ctx);
#endif
MEM_FREE(opad);
MEM_FREE(ipad);
MEM_FREE(crypt_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *p, *q = NULL;
int len;
p = ciphertext;
if (!strncmp(p, FORMAT_TAG, TAG_LENGTH))
p += TAG_LENGTH;
q = strrchr(ciphertext, '$');
if (!q)
return 0;
q = q + 1;
if ((q - p - 1) > SALT_MAX_SIZE * 2)
return 0;
if ((q - p - 1) < SALT_MIN_SIZE * 2)
return 0;
len = strspn(q, HEXCHARS_lc);
if (len != BINARY_SIZE * 2 || len != strlen(q))
return 0;
if (strspn(p, HEXCHARS_lc) != q - p - 1)
return 0;
return 1;
}
static void set_salt(void *salt)
{
memcpy(&cur_salt, salt, SALT_SIZE);
}
static void set_key(char *key, int index)
{
int len;
#ifdef SIMD_COEF_32
uint32_t *ipadp = (uint32_t*)&ipad[GETPOS(3, index)];
uint32_t *opadp = (uint32_t*)&opad[GETPOS(3, index)];
const uint32_t *keyp = (uint32_t*)key;
unsigned int temp;
len = strlen(key);
memcpy(saved_plain[index], key, len);
saved_plain[index][len] = 0;
if (len > PAD_SIZE) {
unsigned char k0[BINARY_SIZE];
SHA_CTX ctx;
int i;
SHA1_Init(&ctx);
SHA1_Update(&ctx, key, len);
SHA1_Final(k0, &ctx);
keyp = (unsigned int*)k0;
for (i = 0; i < BINARY_SIZE / 4; i++, ipadp += SIMD_COEF_32, opadp += SIMD_COEF_32)
{
temp = JOHNSWAP(*keyp++);
*ipadp ^= temp;
*opadp ^= temp;
}
}
else
while(((temp = JOHNSWAP(*keyp++)) & 0xff000000)) {
if (!(temp & 0x00ff0000) || !(temp & 0x0000ff00))
{
((unsigned short*)ipadp)[1] ^=
(unsigned short)(temp >> 16);
((unsigned short*)opadp)[1] ^=
(unsigned short)(temp >> 16);
break;
}
*ipadp ^= temp;
*opadp ^= temp;
if (!(temp & 0x000000ff))
break;
ipadp += SIMD_COEF_32;
opadp += SIMD_COEF_32;
}
#else
int i;
len = strlen(key);
memcpy(saved_plain[index], key, len);
saved_plain[index][len] = 0;
memset(ipad[index], 0x36, PAD_SIZE);
memset(opad[index], 0x5C, PAD_SIZE);
if (len > PAD_SIZE) {
SHA_CTX ctx;
unsigned char k0[BINARY_SIZE];
SHA1_Init(&ctx);
SHA1_Update(&ctx, key, len);
SHA1_Final(k0, &ctx);
len = BINARY_SIZE;
for (i = 0; i < len; i++)
{
ipad[index][i] ^= k0[i];
opad[index][i] ^= k0[i];
}
}
else
for (i = 0; i < len; i++)
{
ipad[index][i] ^= key[i];
opad[index][i] ^= key[i];
}
#endif
new_keys = 1;
}
static char *get_key(int index)
{
return saved_plain[index];
}
static int cmp_all(void *binary, int count)
{
#ifdef SIMD_COEF_32
unsigned int x, y = 0;
for (;y < (unsigned int)(count + SIMD_COEF_32 - 1) / SIMD_COEF_32; y++)
for (x = 0; x < SIMD_COEF_32; x++)
{
// NOTE crypt_key is in input format (4*SHA_BUF_SIZ*SIMD_COEF_32)
if (((uint32_t*)binary)[0] == ((uint32_t*)crypt_key)[x + y * SIMD_COEF_32 * SHA_BUF_SIZ])
return 1;
}
return 0;
#else
int index = 0;
#if defined(_OPENMP) || (MAX_KEYS_PER_CRYPT > 1)
for (index = 0; index < count; index++)
#endif
if (((uint32_t*)binary)[0] == crypt_key[index][0])
return 1;
return 0;
#endif
}
static int cmp_one(void *binary, int index)
{
#ifdef SIMD_COEF_32
int i;
for (i = 0; i < (BINARY_SIZE/4); i++)
// NOTE crypt_key is in input format (4 * SHA_BUF_SIZ * SIMD_COEF_32)
if (((uint32_t*)binary)[i] != ((uint32_t*)crypt_key)[i * SIMD_COEF_32 + (index&(SIMD_COEF_32-1)) + (unsigned int)index/SIMD_COEF_32 * SHA_BUF_SIZ * SIMD_COEF_32])
return 0;
return 1;
#else
return !memcmp(binary, crypt_key[index], BINARY_SIZE);
#endif
}
static int cmp_exact(char *source, int index)
{
return (1);
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#if _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
#endif
{
#ifdef SIMD_COEF_32
if (new_keys) {
SIMDSHA1body(&ipad[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_ipad[index * BINARY_SIZE],
NULL, SSEi_MIXED_IN);
SIMDSHA1body(&opad[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_opad[index * BINARY_SIZE],
NULL, SSEi_MIXED_IN);
}
SIMDSHA1body(cur_salt[0],
(unsigned int*)&crypt_key[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_ipad[index * BINARY_SIZE],
SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
SIMDSHA1body(cur_salt[1],
(unsigned int*)&crypt_key[index * SHA_BUF_SIZ * 4],
(unsigned int*)&crypt_key[index * SHA_BUF_SIZ * 4],
SSEi_MIXED_IN|SSEi_RELOAD_INP_FMT|SSEi_OUTPUT_AS_INP_FMT);
SIMDSHA1body(&crypt_key[index * SHA_BUF_SIZ * 4],
(unsigned int*)&crypt_key[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_opad[index * BINARY_SIZE],
SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
#else
SHA_CTX ctx;
if (new_keys) {
SHA1_Init(&ipad_ctx[index]);
SHA1_Update(&ipad_ctx[index], ipad[index], PAD_SIZE);
SHA1_Init(&opad_ctx[index]);
SHA1_Update(&opad_ctx[index], opad[index], PAD_SIZE);
}
memcpy(&ctx, &ipad_ctx[index], sizeof(ctx));
SHA1_Update(&ctx, cur_salt.salt, cur_salt.length);
SHA1_Final((unsigned char*) crypt_key[index], &ctx);
memcpy(&ctx, &opad_ctx[index], sizeof(ctx));
SHA1_Update(&ctx, crypt_key[index], BINARY_SIZE);
SHA1_Final((unsigned char*) crypt_key[index], &ctx);
#endif
}
new_keys = 0;
return count;
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[BINARY_SIZE];
ARCH_WORD dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
p = strrchr(ciphertext, '$') + 1;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
#ifdef SIMD_COEF_32
alter_endianity(out, BINARY_SIZE);
#endif
return out;
}
static void *get_salt(char *ciphertext)
{
static unsigned char salt[SALT_LENGTH];
unsigned int i, len;
#ifdef SIMD_COEF_32
unsigned int j;
#endif
memset(salt, 0, sizeof(salt));
memset(&cur_salt, 0, sizeof(cur_salt));
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
ciphertext += TAG_LENGTH;
len = (strrchr(ciphertext, '$') - ciphertext) / 2;
for (i = 0; i < len; i++)
salt[i] = (atoi16[ARCH_INDEX(ciphertext[2 * i])] << 4) |
atoi16[ARCH_INDEX(ciphertext[2 * i + 1])];
#ifdef SIMD_COEF_32
for (i = 0; i < len; i++)
for (j = 0; j < SHA1_N; ++j)
cur_salt[i>>6][GETPOS(i & 63, j)] = ((unsigned char*)salt)[i];
for (i = 0; i < SHA1_N; ++i)
cur_salt[len>>6][GETPOS(len & 63, i)] = 0x80;
for (j = len + 1; j < SALT_LENGTH; ++j)
for (i = 0; i < SHA1_N; ++i)
cur_salt[j>>6][GETPOS(j & 63, i)] = 0;
for (i = 0; i < SHA1_N; ++i)
((unsigned int*)cur_salt[1])[15 * SIMD_COEF_32 + (i&(SIMD_COEF_32-1)) + i/SIMD_COEF_32 * SHA_BUF_SIZ * SIMD_COEF_32] = (len + 64) << 3;
return &cur_salt;
#else
cur_salt.length = len;
memcpy(cur_salt.salt, salt, len);
return &cur_salt;
#endif
}
struct fmt_main fmt_rakp = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP | FMT_HUGE_INPUT,
{ NULL },
{ NULL },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
NULL,
set_salt,
set_key,
get_key,
#ifdef SIMD_COEF_32
clear_keys,
#else
fmt_default_clear_keys,
#endif
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
critical-1.c | /* { dg-do compile } */
/* { dg-options "-fopenmp -fdump-tree-ompexp" } */
extern void bar(int);
void foo (void)
{
#pragma omp critical
bar(0);
/* Note that "name" is in its own namespace, thus this foo is not
the same as the function. */
#pragma omp critical(foo)
{
bar(1);
bar(2);
}
#pragma omp critical
#pragma omp critical(foo)
bar(3);
}
/* { dg-final { scan-tree-dump-times "GOMP_critical_start" 2 "ompexp" } } */
/* { dg-final { scan-tree-dump-times "GOMP_critical_end" 2 "ompexp" } } */
/* { dg-final { scan-tree-dump-times "GOMP_critical_name_start" 2 "ompexp" } } */
/* { dg-final { scan-tree-dump-times "GOMP_critical_name_end" 2 "ompexp" } } */
|
taskdep_untied_threadid2.c | // RUN: %libomp-compile-and-run
// REQUIRES: abt
#include "omp_testsuite.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
int calc_seq(int n) {
int i, j, *buffer = (int *)malloc(sizeof(int) * n * n);
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
if (i == 0 && j == 0) {
buffer[i * n + j] = 1;
} else if (i == 0) {
buffer[i * n + j] = buffer[i * n + (j - 1)];
} else if (j == 0) {
buffer[i * n + j] = buffer[(i - 1) * n + j];
} else {
buffer[i * n + j] = buffer[(i - 1) * n + j] + buffer[i * n + (j - 1)];
}
}
}
int ret = buffer[(n - 1) * n + (n - 1)];
free(buffer);
return ret;
}
#define TASK_UNTIED_CHECK(val_index) \
do { \
ABT_EXIT_IF_FAIL(ABT_thread_self(&abt_threads[(val_index)])); \
\
_Pragma("omp taskyield") \
\
ABT_thread abt_thread = abt_threads[(val_index)]; \
int omp_thread_id2 = omp_get_thread_num(); \
ABT_thread abt_thread2; \
ABT_EXIT_IF_FAIL(ABT_thread_self(&abt_thread2)); \
ABT_bool abt_thread_equal; \
ABT_EXIT_IF_FAIL(ABT_thread_equal(abt_thread, abt_thread2, \
&abt_thread_equal)); \
if (abt_thread_equal == ABT_TRUE) { \
vals[(val_index)] += 1; \
} \
\
ABT_EXIT_IF_FAIL(ABT_thread_yield()); \
\
int omp_thread_id3 = omp_get_thread_num(); \
if (omp_thread_id2 == omp_thread_id3) { \
vals[(val_index)] += 2; \
} \
} while (0)
int test_taskdep_untied_threadid2(int num_threads) {
int n = 10;
int seq_val, task_val;
int vals[n * n];
ABT_thread abt_threads[n * n];
memset(vals, 0, sizeof(int) * n * n);
#pragma omp parallel shared(task_val) firstprivate(n) num_threads(num_threads)
#pragma omp master
{
int i, j;
int *A_buf = (int *)malloc(sizeof(int) * n * n);
int **A = (int **)malloc(sizeof(int *) * n);
for(i = 0; i < n; i++) {
A[i] = A_buf + (i * n);
for(j = 0; j < n; j++) {
// Assign random values.
A[i][j] = i * n + j;
}
}
// A[i][j] is the root task.
for(i = 0; i < n; i++) {
for(j = 0; j < n; j++) {
if (i == 0 && j == 0) {
#pragma omp task depend(out:A[i][j]) firstprivate(A, i, j) untied
{
TASK_UNTIED_CHECK(i * n + j);
A[i][j] = 1;
}
} else if (i == 0) {
#pragma omp task depend(in:A[i][j - 1]) depend(out:A[i][j]) \
firstprivate(A, i, j) untied
{
TASK_UNTIED_CHECK(i * n + j);
A[i][j] = A[i][j - 1];
}
} else if (j == 0) {
#pragma omp task depend(in:A[i - 1][j]) depend(out:A[i][j]) \
firstprivate(A, i, j) untied
{
TASK_UNTIED_CHECK(i * n + j);
A[i][j] = A[i - 1][j];
}
} else {
#pragma omp task depend(in:A[i - 1][j], A[i][j - 1]) \
depend(out:A[i][j]) untied
{
TASK_UNTIED_CHECK(i * n + j);
A[i][j] = A[i - 1][j] + A[i][j - 1];
}
}
}
}
#pragma omp taskwait
task_val = A[n - 1][n - 1];
free(A);
free(A_buf);
}
seq_val = calc_seq(n);
if(seq_val != task_val) {
printf("[%d] Failed: route(%d) = %d (ANS = %d)\n", num_threads, n, task_val,
seq_val);
return 0;
}
int index;
for (index = 0; index < n * n; index++) {
if (vals[index] != 3) {
printf("vals[%d] == %d\n", index, vals[index]);
return 0;
}
}
return 1;
}
int main() {
int i;
int num_failed = 0;
for (i = 0; i < REPETITIONS; i++) {
if (!test_taskdep_untied_threadid2(i + 1)) {
num_failed++;
}
}
return num_failed;
}
|
lastpass_sniffed_fmt_plug.c | /* LastPass sniffed session cracker patch for JtR. Hacked together during
* November of 2012 by Dhiru Kholia <dhiru at openwall.com>.
*
* Burp Suite is awesome. Open-source it!
*
* 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.
*
* Jan, 2015, JimF. Fixed salt-dupe problem. Now salt ONLY depends upon
* unencrypted user name, so we have real salt-dupe removal.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_sniffed_lastpass;
#elif FMT_REGISTERS_H
john_register_one(&fmt_sniffed_lastpass);
#else
#include <string.h>
#include <errno.h>
#include "arch.h"
#include "johnswap.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include "base64_convert.h"
#include "aes.h"
#include "pbkdf2_hmac_sha256.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 64
#endif
#endif
#include "memdbg.h"
#define FORMAT_LABEL "LastPass"
#define FORMAT_NAME "sniffed sessions"
#define FORMAT_TAG "$lastpass$"
#define FORMAT_TAG_LEN (sizeof(FORMAT_TAG)-1)
#ifdef SIMD_COEF_32
#define ALGORITHM_NAME "PBKDF2-SHA256 AES " SHA256_ALGORITHM_NAME
#else
#define ALGORITHM_NAME "PBKDF2-SHA256 AES 32/" ARCH_BITS_STR
#endif
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define PLAINTEXT_LENGTH 55
#define BINARY_SIZE 16
#define SALT_SIZE sizeof(struct custom_salt)
#define BINARY_ALIGN 4
#define SALT_ALIGN sizeof(int)
#ifdef SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA256
#define MAX_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA256
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
/* sentms=1352643586902&xml=2&username=hackme%40mailinator.com&method=cr&hash=4c11d8717015d92db74c42bc1a2570abea3fa18ab17e58a51ce885ee217ccc3f&version=2.0.15&encrypted_username=i%2BhJCwPOj5eQN4tvHcMguoejx4VEmiqzOXOdWIsZKlk%3D&uuid=aHnPh8%40NdhSTWZ%40GJ2fEZe%24cF%40kdzdYh&lang=en-US&iterations=500&sessonly=0&otp=&sesameotp=&multifactorresponse=&lostpwotphash=07a286341be484fc3b96c176e611b10f4d74f230c516f944a008f960f4ec8870&requesthash=i%2BhJCwPOj5eQN4tvHcMguoejx4VEmiqzOXOdWIsZKlk%3D&requestsrc=cr&encuser=i%2BhJCwPOj5eQN4tvHcMguoejx4VEmiqzOXOdWIsZKlk%3D&hasplugin=2.0.15
* decodeURIComponent("hackme%40mailinator.com")
* decodeURIComponent("i%2BhJCwPOj5eQN4tvHcMguoejx4VEmiqzOXOdWIsZKlk%3D") */
/* C:\Users\Administrator\AppData\Local\Google\Chrome\User Data\Default\Extensions\hdokiejnpimakedhajhdlcegeplioahd\2.0.15_0
* lpfulllib.js and server.js are main files involved */
static struct fmt_tests lastpass_tests[] = {
{"$lastpass$hackme@mailinator.com$500$i+hJCwPOj5eQN4tvHcMguoejx4VEmiqzOXOdWIsZKlk=", "openwall"},
{"$lastpass$pass_gen@generated.com$500$vgC0g8BxOi4MerkKfZYFFSAJi8riD7k0ROLpBEA3VJk=", "password"},
// get one with salt under 16 bytes.
{"$lastpass$1@short.com$500$2W/GA8d2N+Z4HGvRYs2R7w==", "password"},
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static ARCH_WORD_32 (*crypt_key)[4];
static struct custom_salt {
unsigned int iterations;
unsigned int length;
char username[129];
} *cur_salt;
static void init(struct fmt_main *self)
{
#if defined (_OPENMP)
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
crypt_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_key));
}
static void done(void)
{
MEM_FREE(crypt_key);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy, *keeptr, *p;
if (strncmp(ciphertext, FORMAT_TAG, FORMAT_TAG_LEN) != 0)
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += FORMAT_TAG_LEN;
if ((p = strtokm(ctcopy, "$")) == NULL) /* username */
goto err;
if (strlen(p) > 128)
goto err;
if ((p = strtokm(NULL, "$")) == NULL) /* iterations */
goto err;
if (!isdec(p))
goto err;
if ((p = strtokm(NULL, "$")) == NULL) /* data */
goto err;
if (strlen(p) > 50) /* not exact! */
goto err;
MEM_FREE(keeptr);
return 1;
err:
MEM_FREE(keeptr);
return 0;
}
static void *get_salt(char *ciphertext)
{
char *ctcopy = strdup(ciphertext);
char *keeptr = ctcopy;
int i;
char *p;
static struct custom_salt cs;
memset(&cs, 0, sizeof(cs));
ctcopy += FORMAT_TAG_LEN; /* skip over "$lastpass$" */
p = strtokm(ctcopy, "$");
i = strlen(p);
if (i > 16)
i = 16;
cs.length = i; /* truncated length */
strncpy(cs.username, p, 128);
p = strtokm(NULL, "$");
cs.iterations = atoi(p);
MEM_FREE(keeptr);
return (void *)&cs;
}
static void *get_binary(char *ciphertext)
{
static unsigned int out[4];
char Tmp[48];
char *p;
ciphertext += FORMAT_TAG_LEN;
p = strchr(ciphertext, '$')+1;
p = strchr(p, '$')+1;
base64_convert(p, e_b64_mime, strlen(p), Tmp, e_b64_raw, sizeof(Tmp), 0, 0);
memcpy(out, Tmp, 16);
return out;
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
#endif
{
ARCH_WORD_32 key[MAX_KEYS_PER_CRYPT][8];
unsigned i;
#ifdef SIMD_COEF_32
int lens[MAX_KEYS_PER_CRYPT];
unsigned char *pin[MAX_KEYS_PER_CRYPT];
union {
ARCH_WORD_32 *pout[MAX_KEYS_PER_CRYPT];
unsigned char *poutc;
} x;
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
lens[i] = strlen(saved_key[i+index]);
pin[i] = (unsigned char*)saved_key[i+index];
x.pout[i] = key[i];
}
pbkdf2_sha256_sse((const unsigned char **)pin, lens, (unsigned char*)cur_salt->username, strlen(cur_salt->username), cur_salt->iterations, &(x.poutc), 32, 0);
#else
pbkdf2_sha256((unsigned char*)saved_key[index], strlen(saved_key[index]), (unsigned char*)cur_salt->username, strlen(cur_salt->username), cur_salt->iterations, (unsigned char*)(&key[0]),32,0);
#endif
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
unsigned char *Key = (unsigned char*)key[i];
AES_KEY akey;
unsigned char iv[16];
unsigned char out[32];
if(AES_set_encrypt_key(Key, 256, &akey) < 0) {
fprintf(stderr, "AES_set_encrypt_key failed in crypt!\n");
}
memset(iv, 0, sizeof(iv));
AES_cbc_encrypt((const unsigned char*)cur_salt->username, out, 32, &akey, iv, AES_ENCRYPT);
memcpy(crypt_key[index+i], out, 16);
}
}
return count;
}
static int get_hash_0(int index) { return crypt_key[index][0] & PH_MASK_0; }
static int get_hash_1(int index) { return crypt_key[index][0] & PH_MASK_1; }
static int get_hash_2(int index) { return crypt_key[index][0] & PH_MASK_2; }
static int get_hash_3(int index) { return crypt_key[index][0] & PH_MASK_3; }
static int get_hash_4(int index) { return crypt_key[index][0] & PH_MASK_4; }
static int get_hash_5(int index) { return crypt_key[index][0] & PH_MASK_5; }
static int get_hash_6(int index) { return crypt_key[index][0] & PH_MASK_6; }
static int cmp_all(void *binary, int count) {
int index;
for (index = 0; index < count; index++)
if ( ((ARCH_WORD_32*)binary)[0] == crypt_key[index][0] )
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_key[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void lastpass_set_key(char *key, int index)
{
int saved_len = strlen(key);
if (saved_len > PLAINTEXT_LENGTH)
saved_len = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_len);
saved_key[index][saved_len] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
static unsigned int iteration_count(void *salt)
{
struct custom_salt *my_salt;
my_salt = salt;
return (unsigned int) my_salt->iterations;
}
struct fmt_main fmt_sniffed_lastpass = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
{
"iteration count",
},
{ FORMAT_TAG },
lastpass_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{
iteration_count,
},
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
fmt_default_salt_hash,
NULL,
set_salt,
lastpass_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 */
|
maximum_a_posteriori.h | #pragma once
#include <iostream>
#include <vector>
#include <Eigen/Core>
#include <Eigen/LU>
#include <cmath>
#ifdef _OPENMP
#include <omp.h>
#endif
namespace maximum_a_posteriori
{
template <class ARRAY_T>
void normalize_probability( std::vector<ARRAY_T> &probability_vector,
const size_t num_samples,
const size_t num_labels) {
/*
probability_vector: data array vector (num_features*num_samples) i.e. how to access (f+num_samples+s)
num_samples: Number of samples i.e. number of voxel
num_labels: Number of labels
*/
for (int s = 0; s < num_samples; s++) {
double tmp = 0.;
for (int l = 0; l < num_labels; l++) {
tmp += probability_vector.at(l*num_samples + s);
}
if (tmp > 0) {
for (int l = 0; l < num_labels; l++) {
probability_vector.at(l*num_samples + s) /= tmp;
}
}
} /* Sample loop */
}
template<class ARRAY_T, class MATRIX_T, class ATRAS_T>
bool calculate_posterior(const std::vector<ARRAY_T> &feat_samples,
Eigen::Matrix<MATRIX_T, Eigen::Dynamic, Eigen::Dynamic> &mean,
Eigen::Matrix<MATRIX_T, Eigen::Dynamic, Eigen::Dynamic> &covariance,
const ATRAS_T *atlas,
const size_t num_samples,
const size_t num_features,
double *posterior) {
const double eps0Weight = 0;
double covariance_det_sqrt;
Eigen::MatrixXd covariance_inv(num_features, num_features);
// Calc Inverse matrix and Determinant of covariance
covariance_det_sqrt = covariance.determinant();
if (covariance_det_sqrt <= 0.) {
std::cout << "Det error >> "
<< covariance_det_sqrt << std::endl;
return false;
}
covariance_det_sqrt = sqrt(covariance_det_sqrt);
Eigen::FullPivLU<Eigen::MatrixXd> lu(covariance);
covariance_inv = lu.inverse();
#ifdef _OPENMP
#pragma omp parallel for
#endif
// Calc posteriori
for (int s = 0; s < num_samples; s++) {
Eigen::MatrixXd myu(num_features, 1);
if (atlas[s] > eps0Weight) {
for (int f = 0; f < num_features; f++) {
myu(f, 0) = feat_samples.at(f*num_samples + s) - mean(f, 0);
}
double maha_term = (myu.transpose() * covariance_inv * myu)(0);
double exp_term = std::exp(-1. * maha_term / 2.);
posterior[s] = atlas[s] * exp_term / covariance_det_sqrt;
}
else {
posterior[s] = 0;
}
} /* Sample loop */
return true;
} /* Func calculate_posterior */
template<class ARRAY_T, class LABEL_T>
void segmentation(const std::vector<ARRAY_T> &posterior,
const size_t num_samples,
const size_t num_labels,
std::vector<LABEL_T> &label ) {
for (int s = 0; s < num_samples; s++) {
double max_posterior = 0.;
for (int l = 0; l < num_labels; l++) {
if (posterior.at(l*num_samples + s)>max_posterior) {
max_posterior = posterior.at(l*num_samples + s);
label.at(s) = l + 1;
}
}
if (max_posterior == 0) {
label.at(s) = num_labels;
}
}
}
} /* Namespace maximum_a_posteriori */ |
update_ops_named_CNOT.c | #include <stddef.h>
#include "constant.h"
#include "update_ops.h"
#include "utility.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#ifdef _MSC_VER
#include <intrin.h>
#else
#include <x86intrin.h>
#endif
//void CNOT_gate_old_single(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim);
//void CNOT_gate_old_parallel(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim);
//void CNOT_gate_single(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim);
void CNOT_gate(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
//CNOT_gate_old_single(control_qubit_index, target_qubit_index, state, dim);
//CNOT_gate_old_parallel(control_qubit_index, target_qubit_index, state, dim);
//CNOT_gate_single(control_qubit_index, target_qubit_index, state, dim);
//CNOT_gate_single_unroll(control_qubit_index, target_qubit_index, state, dim);
//CNOT_gate_single_simd(control_qubit_index, target_qubit_index, state, dim);
//CNOT_gate_parallel(control_qubit_index, target_qubit_index, state, dim);
//return;
#ifdef _USE_SIMD
#ifdef _OPENMP
UINT threshold = 13;
if (dim < (((ITYPE)1) << threshold)) {
CNOT_gate_single_simd(control_qubit_index, target_qubit_index, state, dim);
}
else {
CNOT_gate_parallel_simd(control_qubit_index, target_qubit_index, state, dim);
}
#else
CNOT_gate_single_simd(control_qubit_index, target_qubit_index, state, dim);
#endif
#else
#ifdef _OPENMP
UINT threshold = 13;
if (dim < (((ITYPE)1) << threshold)) {
CNOT_gate_single_unroll(control_qubit_index, target_qubit_index, state, dim);
}
else {
CNOT_gate_parallel_unroll(control_qubit_index, target_qubit_index, state, dim);
}
#else
CNOT_gate_single_unroll(control_qubit_index, target_qubit_index, state, dim);
#endif
#endif
}
void CNOT_gate_single_unroll(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const ITYPE target_mask = 1ULL << target_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << (max_qubit_index - 1);
const ITYPE low_mask = min_qubit_mask - 1;
const ITYPE mid_mask = (max_qubit_mask - 1) ^ low_mask;
const ITYPE high_mask = ~(max_qubit_mask - 1);
ITYPE state_index = 0;
if (target_qubit_index == 0) {
// swap neighboring two basis
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index = ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
CTYPE temp = state[basis_index];
state[basis_index] = state[basis_index + 1];
state[basis_index + 1] = temp;
}
}
else if (control_qubit_index == 0) {
// no neighboring swap
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp = state[basis_index_0];
state[basis_index_0] = state[basis_index_1];
state[basis_index_1] = temp;
}
}
else {
// a,a+1 is swapped to a^m, a^m+1, respectively
for (state_index = 0; state_index < loop_dim; state_index += 2) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp0 = state[basis_index_0];
CTYPE temp1 = state[basis_index_0 + 1];
state[basis_index_0] = state[basis_index_1];
state[basis_index_0 + 1] = state[basis_index_1 + 1];
state[basis_index_1] = temp0;
state[basis_index_1 + 1] = temp1;
}
}
}
#ifdef _OPENMP
void CNOT_gate_parallel_unroll(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const ITYPE target_mask = 1ULL << target_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << (max_qubit_index - 1);
const ITYPE low_mask = min_qubit_mask - 1;
const ITYPE mid_mask = (max_qubit_mask - 1) ^ low_mask;
const ITYPE high_mask = ~(max_qubit_mask - 1);
ITYPE state_index = 0;
if (target_qubit_index == 0) {
// swap neighboring two basis
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index = ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
CTYPE temp = state[basis_index];
state[basis_index] = state[basis_index + 1];
state[basis_index + 1] = temp;
}
}
else if (control_qubit_index == 0) {
// no neighboring swap
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp = state[basis_index_0];
state[basis_index_0] = state[basis_index_1];
state[basis_index_1] = temp;
}
}
else {
// a,a+1 is swapped to a^m, a^m+1, respectively
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; state_index += 2) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp0 = state[basis_index_0];
CTYPE temp1 = state[basis_index_0 + 1];
state[basis_index_0] = state[basis_index_1];
state[basis_index_0 + 1] = state[basis_index_1 + 1];
state[basis_index_1] = temp0;
state[basis_index_1 + 1] = temp1;
}
}
}
#endif
#ifdef _USE_SIMD
void CNOT_gate_single_simd(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const ITYPE target_mask = 1ULL << target_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << (max_qubit_index - 1);
const ITYPE low_mask = min_qubit_mask - 1;
const ITYPE mid_mask = (max_qubit_mask - 1) ^ low_mask;
const ITYPE high_mask = ~(max_qubit_mask - 1);
ITYPE state_index = 0;
if (target_qubit_index == 0) {
// swap neighboring two basis
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index = ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
double* ptr = (double*)(state + basis_index);
__m256d data = _mm256_loadu_pd(ptr);
data = _mm256_permute4x64_pd(data, 78); // (3210) -> (1032) : 1*2 + 4*3 + 16*0 + 64*1 = 2+12+64=78
_mm256_storeu_pd(ptr, data);
}
}
else if (control_qubit_index == 0) {
// no neighboring swap
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp = state[basis_index_0];
state[basis_index_0] = state[basis_index_1];
state[basis_index_1] = temp;
}
}
else {
// a,a+1 is swapped to a^m, a^m+1, respectively
for (state_index = 0; state_index < loop_dim; state_index += 2) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
double* ptr0 = (double*)(state + basis_index_0);
double* ptr1 = (double*)(state + basis_index_1);
__m256d data0 = _mm256_loadu_pd(ptr0);
__m256d data1 = _mm256_loadu_pd(ptr1);
_mm256_storeu_pd(ptr1, data0);
_mm256_storeu_pd(ptr0, data1);
}
}
}
#ifdef _OPENMP
void CNOT_gate_parallel_simd(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const ITYPE target_mask = 1ULL << target_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << (max_qubit_index - 1);
const ITYPE low_mask = min_qubit_mask - 1;
const ITYPE mid_mask = (max_qubit_mask - 1) ^ low_mask;
const ITYPE high_mask = ~(max_qubit_mask - 1);
ITYPE state_index = 0;
if (target_qubit_index == 0) {
// swap neighboring two basis
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index = ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
double* ptr = (double*)(state + basis_index);
__m256d data = _mm256_loadu_pd(ptr);
data = _mm256_permute4x64_pd(data, 78); // (3210) -> (1032) : 1*2 + 4*3 + 16*0 + 64*1 = 2+12+64=78
_mm256_storeu_pd(ptr, data);
}
}
else if (control_qubit_index == 0) {
// no neighboring swap
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp = state[basis_index_0];
state[basis_index_0] = state[basis_index_1];
state[basis_index_1] = temp;
}
}
else {
// a,a+1 is swapped to a^m, a^m+1, respectively
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; state_index += 2) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
double* ptr0 = (double*)(state + basis_index_0);
double* ptr1 = (double*)(state + basis_index_1);
__m256d data0 = _mm256_loadu_pd(ptr0);
__m256d data1 = _mm256_loadu_pd(ptr1);
_mm256_storeu_pd(ptr1, data0);
_mm256_storeu_pd(ptr0, data1);
}
}
}
#endif
#endif
/*
#ifdef _OPENMP
void CNOT_gate_parallel(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const ITYPE target_mask = 1ULL << target_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << (max_qubit_index - 1);
const ITYPE low_mask = min_qubit_mask - 1;
const ITYPE mid_mask = (max_qubit_mask - 1) ^ low_mask;
const ITYPE high_mask = ~(max_qubit_mask - 1);
ITYPE state_index = 0;
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp = state[basis_index_0];
state[basis_index_0] = state[basis_index_1];
state[basis_index_1] = temp;
}
}
#endif
void CNOT_gate_old_single(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << max_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const ITYPE target_mask = 1ULL << target_qubit_index;
ITYPE state_index;
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_insert_only_min = insert_zero_to_basis_index(state_index, min_qubit_mask, min_qubit_index);
ITYPE basis_c1t0 = insert_zero_to_basis_index(basis_insert_only_min, max_qubit_mask, max_qubit_index) ^ control_mask;
ITYPE basis_c1t1 = basis_c1t0 ^ target_mask;
swap_amplitude(state, basis_c1t0, basis_c1t1);
}
}
#ifdef _OPENMP
void CNOT_gate_old_parallel(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << max_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const ITYPE target_mask = 1ULL << target_qubit_index;
ITYPE state_index;
#pragma omp parallel for
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_insert_only_min = insert_zero_to_basis_index(state_index, min_qubit_mask, min_qubit_index);
ITYPE basis_c1t0 = insert_zero_to_basis_index(basis_insert_only_min, max_qubit_mask, max_qubit_index) ^ control_mask;
ITYPE basis_c1t1 = basis_c1t0 ^ target_mask;
swap_amplitude(state, basis_c1t0, basis_c1t1);
}
}
#endif
void CNOT_gate_single(UINT control_qubit_index, UINT target_qubit_index, CTYPE *state, ITYPE dim) {
const ITYPE loop_dim = dim / 4;
const ITYPE target_mask = 1ULL << target_qubit_index;
const ITYPE control_mask = 1ULL << control_qubit_index;
const UINT min_qubit_index = get_min_ui(control_qubit_index, target_qubit_index);
const UINT max_qubit_index = get_max_ui(control_qubit_index, target_qubit_index);
const ITYPE min_qubit_mask = 1ULL << min_qubit_index;
const ITYPE max_qubit_mask = 1ULL << (max_qubit_index - 1);
const ITYPE low_mask = min_qubit_mask - 1;
const ITYPE mid_mask = (max_qubit_mask - 1) ^ low_mask;
const ITYPE high_mask = ~(max_qubit_mask - 1);
ITYPE state_index = 0;
for (state_index = 0; state_index < loop_dim; ++state_index) {
ITYPE basis_index_0 = (state_index&low_mask)
+ ((state_index&mid_mask) << 1)
+ ((state_index&high_mask) << 2)
+ control_mask;
ITYPE basis_index_1 = basis_index_0 + target_mask;
CTYPE temp = state[basis_index_0];
state[basis_index_0] = state[basis_index_1];
state[basis_index_1] = temp;
}
}
*/ |
fac_amr_rap.c | /*BHEADER**********************************************************************
* Copyright (c) 2008, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* This file is part of HYPRE. See file COPYRIGHT for details.
*
* HYPRE is free software; you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License (as published by the Free
* Software Foundation) version 2.1 dated February 1999.
*
* $Revision: 2.17 $
***********************************************************************EHEADER*/
#include "_hypre_sstruct_ls.h"
#include "fac.h"
/*--------------------------------------------------------------------------
* hypre_AMR_RAP: Forms the coarse operators for all amr levels.
* Given an amr composite matrix, the coarse grid operator is produced.
* Nesting of amr levels is not assumed. Communication of chunks of the
* coarse grid operator is performed.
*
* Note: The sstruct_grid of A and fac_A are the same. These are kept the
* same so that the row ranks are the same. However, the generated
* coarse-grid operators are re-distributed so that each processor has its
* operator on its grid.
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_AMR_RAP( hypre_SStructMatrix *A,
hypre_Index *rfactors,
hypre_SStructMatrix **fac_A_ptr )
{
MPI_Comm comm = hypre_SStructMatrixComm(A);
HYPRE_Int ndim = hypre_SStructMatrixNDim(A);
HYPRE_Int nparts = hypre_SStructMatrixNParts(A);
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(A);
HYPRE_IJMatrix ij_A = hypre_SStructMatrixIJMatrix(A);
HYPRE_Int matrix_type = hypre_SStructMatrixObjectType(A);
hypre_SStructGrid *grid = hypre_SStructGraphGrid(graph);
HYPRE_Int nUventries = hypre_SStructGraphNUVEntries(graph);
HYPRE_Int *iUventries = hypre_SStructGraphIUVEntries(graph);
hypre_SStructUVEntry **Uventries = hypre_SStructGraphUVEntries(graph);
hypre_SStructUVEntry *Uventry;
HYPRE_Int nUentries;
hypre_CommPkg *amrA_comm_pkg;
hypre_CommHandle *comm_handle;
hypre_SStructMatrix *fac_A;
hypre_SStructPMatrix *pmatrix, *fac_pmatrix;
hypre_StructMatrix *smatrix, *fac_smatrix;
hypre_Box *smatrix_dbox, *fac_smatrix_dbox;
double *smatrix_vals, *fac_smatrix_vals;
hypre_SStructGrid *fac_grid;
hypre_SStructGraph *fac_graph;
hypre_SStructPGrid *f_pgrid, *c_pgrid;
hypre_StructGrid *fgrid, *cgrid;
hypre_BoxArray *grid_boxes, *cgrid_boxes;
hypre_Box *grid_box;
hypre_Box scaled_box;
hypre_SStructPGrid *temp_pgrid;
hypre_SStructStencil **temp_sstencils;
hypre_SStructPMatrix *temp_pmatrix;
hypre_SStructOwnInfoData ***owninfo;
hypre_SStructRecvInfoData *recvinfo;
hypre_SStructSendInfoData *sendinfo;
hypre_BoxArrayArray *own_composite_cboxes, *own_boxes;
hypre_BoxArray *own_composite_cbox;
HYPRE_Int **own_cboxnums;
hypre_BoxManager *fboxman, *cboxman;
hypre_BoxManEntry *boxman_entry;
hypre_Index ilower;
double *values;
HYPRE_Int *ncols, *rows, *cols, tot_cols;
hypre_SStructStencil *stencils;
hypre_Index stencil_shape, loop_size;
HYPRE_Int stencil_size, *stencil_vars;
hypre_Index index, stride, zero_index;
HYPRE_Int nvars, var1, var2, part, cbox;
HYPRE_Int i, j, k, size;
HYPRE_Int iA, iAc;
HYPRE_Int myid;
HYPRE_Int ierr= 0;
hypre_MPI_Comm_rank(comm, &myid);
hypre_ClearIndex(zero_index);
hypre_SStructGraphRef(graph, &fac_graph);
fac_grid= hypre_SStructGraphGrid(fac_graph);
HYPRE_SStructMatrixCreate(comm, fac_graph, &fac_A);
HYPRE_SStructMatrixInitialize(fac_A);
/*--------------------------------------------------------------------------
* Copy all A's unstructured data and structured data that are not processed
* into fac_A. Since the grids are the same for both matrices, the ranks
* are also the same. Thus, the rows, cols, etc. for the IJ_matrix are
* the same.
*--------------------------------------------------------------------------*/
ncols= hypre_CTAlloc(HYPRE_Int, nUventries);
rows = hypre_CTAlloc(HYPRE_Int, nUventries);
tot_cols= 0;
for (i= 0; i< nUventries; i++)
{
Uventry= Uventries[iUventries[i]];
tot_cols+= hypre_SStructUVEntryNUEntries(Uventry);
}
cols = hypre_CTAlloc(HYPRE_Int, tot_cols);
k = 0;
for (i= 0; i< nUventries; i++)
{
Uventry= Uventries[iUventries[i]];
part = hypre_SStructUVEntryPart(Uventry);
hypre_CopyIndex(hypre_SStructUVEntryIndex(Uventry), index);
var1 = hypre_SStructUVEntryVar(Uventry);
nUentries= hypre_SStructUVEntryNUEntries(Uventry);
ncols[i]= nUentries;
hypre_SStructGridFindBoxManEntry(grid, part, index, var1, &boxman_entry);
hypre_SStructBoxManEntryGetGlobalRank(boxman_entry, index, &rows[i], matrix_type);
for (j= 0; j< nUentries; j++)
{
cols[k++]= hypre_SStructUVEntryToRank(Uventry, j);
}
}
values= hypre_CTAlloc(double, tot_cols);
HYPRE_IJMatrixGetValues(ij_A, nUventries, ncols, rows, cols, values);
HYPRE_IJMatrixSetValues(hypre_SStructMatrixIJMatrix(fac_A), nUventries,
ncols, (const HYPRE_Int *) rows, (const HYPRE_Int *) cols,
(const double *) values);
hypre_TFree(ncols);
hypre_TFree(rows);
hypre_TFree(cols);
hypre_TFree(values);
owninfo = hypre_CTAlloc(hypre_SStructOwnInfoData **, nparts);
for (part= (nparts-1); part> 0; part--)
{
f_pgrid= hypre_SStructGridPGrid(fac_grid, part);
c_pgrid= hypre_SStructGridPGrid(fac_grid, part-1);
nvars = hypre_SStructPGridNVars(f_pgrid);
owninfo[part] = hypre_CTAlloc(hypre_SStructOwnInfoData *, nvars);
for (var1= 0; var1< nvars; var1++)
{
fboxman= hypre_SStructGridBoxManager(fac_grid, part, var1);
cboxman= hypre_SStructGridBoxManager(fac_grid, part-1, var1);
fgrid= hypre_SStructPGridSGrid(f_pgrid, var1);
cgrid= hypre_SStructPGridSGrid(c_pgrid, var1);
owninfo[part][var1]= hypre_SStructOwnInfo(fgrid, cgrid, cboxman, fboxman,
rfactors[part]);
}
}
hypre_SetIndex(stride, 1, 1, 1);
for (part= (nparts-1); part> 0; part--)
{
f_pgrid= hypre_SStructGridPGrid(fac_grid, part);
c_pgrid= hypre_SStructGridPGrid(fac_grid, part-1);
nvars = hypre_SStructPGridNVars(f_pgrid);
for (var1= 0; var1< nvars; var1++)
{
fgrid = hypre_SStructPGridSGrid(f_pgrid, var1);
cgrid = hypre_SStructPGridSGrid(c_pgrid, var1);
grid_boxes= hypre_StructGridBoxes(fgrid);
stencils= hypre_SStructGraphStencil(graph, part, var1);
stencil_size= hypre_SStructStencilSize(stencils);
stencil_vars= hypre_SStructStencilVars(stencils);
if (part == (nparts-1)) /* copy all fine data */
{
pmatrix = hypre_SStructMatrixPMatrix(A, part);
fac_pmatrix= hypre_SStructMatrixPMatrix(fac_A, part);
hypre_ForBoxI(i, grid_boxes)
{
grid_box= hypre_BoxArrayBox(grid_boxes, i);
hypre_BoxGetSize(grid_box, loop_size);
hypre_CopyIndex(hypre_BoxIMin(grid_box), ilower);
for (j = 0; j< stencil_size; j++)
{
var2 = stencil_vars[j];
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, var1, var2);
fac_smatrix= hypre_SStructPMatrixSMatrix(fac_pmatrix, var1, var2);
smatrix_dbox= hypre_BoxArrayBox(hypre_StructMatrixDataSpace(smatrix),
i);
fac_smatrix_dbox=
hypre_BoxArrayBox(hypre_StructMatrixDataSpace(fac_smatrix), i);
hypre_CopyIndex(hypre_SStructStencilEntry(stencils, j), stencil_shape);
smatrix_vals= hypre_StructMatrixExtractPointerByIndex(smatrix,
i,
stencil_shape);
fac_smatrix_vals= hypre_StructMatrixExtractPointerByIndex(fac_smatrix,
i,
stencil_shape);
hypre_BoxLoop2Begin(ndim, loop_size,
smatrix_dbox, ilower, stride, iA,
fac_smatrix_dbox, ilower, stride, iAc);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,iA,iAc) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop2For(iA, iAc)
{
fac_smatrix_vals[iAc]= smatrix_vals[iA];
}
hypre_BoxLoop2End(iA, iAc);
} /* for (j = 0; j < stencil_size; j++) */
} /* hypre_ForBoxI(i, grid_boxes) */
} /* if (part == (nparts-1)) */
/*----------------------------------------------------------------------
* Copy all coarse data not underlying a fbox and on this processor-
* i.e., the own_composite_cbox data.
*----------------------------------------------------------------------*/
pmatrix = hypre_SStructMatrixPMatrix(A, part-1);
fac_pmatrix= hypre_SStructMatrixPMatrix(fac_A, part-1);
own_composite_cboxes= hypre_SStructOwnInfoDataCompositeCBoxes(owninfo[part][var1]);
stencils= hypre_SStructGraphStencil(graph, part-1, var1);
stencil_size= hypre_SStructStencilSize(stencils);
stencil_vars= hypre_SStructStencilVars(stencils);
hypre_ForBoxArrayI(i, own_composite_cboxes)
{
own_composite_cbox= hypre_BoxArrayArrayBoxArray(own_composite_cboxes, i);
hypre_ForBoxI(j, own_composite_cbox)
{
grid_box= hypre_BoxArrayBox(own_composite_cbox, j);
hypre_BoxGetSize(grid_box, loop_size);
hypre_CopyIndex(hypre_BoxIMin(grid_box), ilower);
for (k = 0; k< stencil_size; k++)
{
var2 = stencil_vars[k];
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, var1, var2);
fac_smatrix= hypre_SStructPMatrixSMatrix(fac_pmatrix, var1, var2);
smatrix_dbox= hypre_BoxArrayBox(hypre_StructMatrixDataSpace(smatrix),
i);
fac_smatrix_dbox=
hypre_BoxArrayBox(hypre_StructMatrixDataSpace(fac_smatrix), i);
hypre_CopyIndex(hypre_SStructStencilEntry(stencils, k), stencil_shape);
smatrix_vals= hypre_StructMatrixExtractPointerByIndex(smatrix,
i,
stencil_shape);
fac_smatrix_vals= hypre_StructMatrixExtractPointerByIndex(fac_smatrix,
i,
stencil_shape);
hypre_BoxLoop2Begin(ndim, loop_size,
smatrix_dbox, ilower, stride, iA,
fac_smatrix_dbox, ilower, stride, iAc);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,iA,iAc) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop2For(iA, iAc)
{
fac_smatrix_vals[iAc]= smatrix_vals[iA];
}
hypre_BoxLoop2End(iA, iAc);
} /* for (k = 0; k< stencil_size; k++) */
} /* hypre_ForBoxI(j, own_composite_cbox) */
} /* hypre_ForBoxArrayI(i, own_composite_cboxes) */
} /* for (var1= 0; var1< nvars; var1++) */
} /* for (part= (nparts-1); part> 0; part--) */
/*--------------------------------------------------------------------------
* All possible data has been copied into fac_A- i.e., the original amr
* composite operator. Now we need to coarsen away the fboxes and the
* interface connections.
*
* Algo.:
* Loop from the finest amr_level to amr_level 1
* {
* 1) coarsen the cf connections to get stencil connections from
* the coarse nodes to the coarsened fbox nodes.
* 2) coarsen the fboxes and the fc connections. These are coarsened
* into a temp SStruct_PMatrix whose grid is the coarsened fgrid.
* 3) copy all coarsened data that belongs on this processor and
* communicate any that belongs to another processor.
* }
*--------------------------------------------------------------------------*/
for (part= (nparts-1); part>= 1; part--)
{
hypre_AMR_CFCoarsen(A, fac_A, rfactors[part], part);
/*-----------------------------------------------------------------------
* Create the temp SStruct_PMatrix for coarsening away the level= part
* boxes.
*-----------------------------------------------------------------------*/
f_pgrid= hypre_SStructGridPGrid(fac_grid, part);
c_pgrid= hypre_SStructGridPGrid(fac_grid, part-1);
grid_boxes= hypre_SStructPGridCellIBoxArray(f_pgrid);
hypre_SStructPGridCreate(hypre_SStructGridComm(f_pgrid),
ndim, &temp_pgrid);
/*coarsen the fboxes.*/
for (i= 0; i< hypre_BoxArraySize(grid_boxes); i++)
{
grid_box= hypre_BoxArrayBox(grid_boxes, i);
hypre_StructMapFineToCoarse(hypre_BoxIMin(grid_box), zero_index,
rfactors[part], hypre_BoxIMin(&scaled_box));
hypre_StructMapFineToCoarse(hypre_BoxIMax(grid_box), zero_index,
rfactors[part], hypre_BoxIMax(&scaled_box));
hypre_SStructPGridSetExtents(temp_pgrid,
hypre_BoxIMin(&scaled_box),
hypre_BoxIMax(&scaled_box));
}
nvars = hypre_SStructPGridNVars(f_pgrid);
hypre_SStructPGridSetVariables(temp_pgrid, nvars,
hypre_SStructPGridVarTypes(f_pgrid));
hypre_SStructPGridAssemble(temp_pgrid);
/* reference the sstruct_stencil of fac_pmatrix- to be used in temp_pmatrix */
temp_sstencils= hypre_CTAlloc(hypre_SStructStencil *, nvars);
fac_pmatrix= hypre_SStructMatrixPMatrix(fac_A, part-1);
for (i=0; i< nvars; i++)
{
hypre_SStructStencilRef(hypre_SStructPMatrixStencil(fac_pmatrix, i),
&temp_sstencils[i]);
}
hypre_SStructPMatrixCreate(hypre_SStructPMatrixComm(fac_pmatrix),
temp_pgrid,
temp_sstencils,
&temp_pmatrix);
hypre_SStructPMatrixInitialize(temp_pmatrix);
hypre_AMR_FCoarsen(A, fac_A, temp_pmatrix, rfactors[part], part);
/*-----------------------------------------------------------------------
* Extract the own_box data (boxes of coarsen data of this processor).
*-----------------------------------------------------------------------*/
fac_pmatrix= hypre_SStructMatrixPMatrix(fac_A, part-1);
for (var1= 0; var1< nvars; var1++)
{
stencils= hypre_SStructGraphStencil(graph, part-1, var1);
stencil_size= hypre_SStructStencilSize(stencils);
stencil_vars= hypre_SStructStencilVars(stencils);
own_boxes= hypre_SStructOwnInfoDataOwnBoxes(owninfo[part][var1]);
own_cboxnums= hypre_SStructOwnInfoDataOwnBoxNums(owninfo[part][var1]);
size= hypre_SStructOwnInfoDataSize(owninfo[part][var1]);
/* loop over all the cbox chunks */
for (i= 0; i< size; i++)
{
cgrid_boxes= hypre_BoxArrayArrayBoxArray(own_boxes, i);
hypre_ForBoxI(j, cgrid_boxes)
{
grid_box= hypre_BoxArrayBox(cgrid_boxes, j);
hypre_BoxGetSize(grid_box, loop_size);
hypre_CopyIndex(hypre_BoxIMin(grid_box), ilower);
cbox= own_cboxnums[i][j];
for (k= 0; k< stencil_size; k++)
{
var2= stencil_vars[k];
smatrix= hypre_SStructPMatrixSMatrix(temp_pmatrix, var1, var2);
fac_smatrix= hypre_SStructPMatrixSMatrix(fac_pmatrix, var1, var2);
/*---------------------------------------------------------------
* note: the cbox number of the temp_grid is the same as the
* fbox number, whereas the cbox numbers of the fac_grid is in
* own_cboxnums- i.e., numbers i & cbox, respectively.
*---------------------------------------------------------------*/
smatrix_dbox= hypre_BoxArrayBox(hypre_StructMatrixDataSpace(smatrix),
i);
fac_smatrix_dbox=
hypre_BoxArrayBox(hypre_StructMatrixDataSpace(fac_smatrix), cbox);
hypre_CopyIndex(hypre_SStructStencilEntry(stencils, k), stencil_shape);
smatrix_vals=
hypre_StructMatrixExtractPointerByIndex(smatrix,
i,
stencil_shape);
fac_smatrix_vals=
hypre_StructMatrixExtractPointerByIndex(fac_smatrix,
cbox,
stencil_shape);
hypre_BoxLoop2Begin(ndim, loop_size,
smatrix_dbox, ilower, stride, iA,
fac_smatrix_dbox, ilower, stride, iAc);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,iA,iAc) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop2For(iA, iAc)
{
fac_smatrix_vals[iAc]= smatrix_vals[iA];
}
hypre_BoxLoop2End(iA, iAc);
} /* for (k = 0; k < stencil_size; k++) */
} /* hypre_ForBoxI(j, cgrid_boxes) */
} /* for (i= 0; i< size; i++) */
hypre_SStructOwnInfoDataDestroy(owninfo[part][var1]);
} /* for (var1= 0; var1< nvars; var1++) */
hypre_TFree(owninfo[part]);
/*-----------------------------------------------------------------------
* Communication of off-process coarse data. A communication pkg is
* needed. Thus, compute the communication info- sendboxes, recvboxes,
* etc.
*-----------------------------------------------------------------------*/
for (var1= 0; var1< nvars; var1++)
{
fboxman= hypre_SStructGridBoxManager(fac_grid, part, var1);
cboxman= hypre_SStructGridBoxManager(fac_grid, part-1, var1);
fgrid= hypre_SStructPGridSGrid(f_pgrid, var1);
cgrid= hypre_SStructPGridSGrid(c_pgrid, var1);
sendinfo= hypre_SStructSendInfo(fgrid, cboxman, rfactors[part]);
recvinfo= hypre_SStructRecvInfo(cgrid, fboxman, rfactors[part]);
/*-------------------------------------------------------------------
* need to check this for more than one variable- are the comm. info
* for this sgrid okay for cross-variable matrices?
*-------------------------------------------------------------------*/
for (var2= 0; var2< nvars; var2++)
{
fac_smatrix= hypre_SStructPMatrixSMatrix(fac_pmatrix, var1, var2);
smatrix = hypre_SStructPMatrixSMatrix(temp_pmatrix, var1, var2);
hypre_SStructAMRInterCommunication(sendinfo,
recvinfo,
hypre_StructMatrixDataSpace(smatrix),
hypre_StructMatrixDataSpace(fac_smatrix),
hypre_StructMatrixNumValues(smatrix),
comm,
&amrA_comm_pkg);
hypre_InitializeCommunication(amrA_comm_pkg,
hypre_StructMatrixData(smatrix),
hypre_StructMatrixData(fac_smatrix), 0, 0,
&comm_handle);
hypre_FinalizeCommunication(comm_handle);
hypre_CommPkgDestroy(amrA_comm_pkg);
}
hypre_SStructSendInfoDataDestroy(sendinfo);
hypre_SStructRecvInfoDataDestroy(recvinfo);
} /* for (var1= 0; var1< nvars; var1++) */
hypre_SStructPGridDestroy(temp_pgrid);
hypre_SStructPMatrixDestroy(temp_pmatrix);
} /* for (part= 0; part< nparts; part++) */
hypre_TFree(owninfo);
HYPRE_SStructMatrixAssemble(fac_A);
*fac_A_ptr = fac_A;
return ierr;
}
|
GB_binop__bor_int32.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__bor_int32)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__bor_int32)
// A.*B function (eWiseMult): GB (_AemultB_03__bor_int32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__bor_int32)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((node))
// C+=B function (dense accum): GB (_Cdense_accumB__bor_int32)
// C+=b function (dense accum): GB (_Cdense_accumb__bor_int32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__bor_int32)
// C=scalar+B GB (_bind1st__bor_int32)
// C=scalar+B' GB (_bind1st_tran__bor_int32)
// C=A+scalar GB (_bind2nd__bor_int32)
// C=A'+scalar GB (_bind2nd_tran__bor_int32)
// C type: int32_t
// A type: int32_t
// B,b type: int32_t
// BinaryOp: cij = (aij) | (bij)
#define GB_ATYPE \
int32_t
#define GB_BTYPE \
int32_t
#define GB_CTYPE \
int32_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) \
int32_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int32_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int32_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) ;
// 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_BOR || GxB_NO_INT32 || GxB_NO_BOR_INT32)
//------------------------------------------------------------------------------
// 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__bor_int32)
(
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__bor_int32)
(
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__bor_int32)
(
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 int32_t
int32_t bwork = (*((int32_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
int32_t *restrict Cx = (int32_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((node))
(
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
int32_t *restrict Cx = (int32_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__bor_int32)
(
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__bor_int32)
(
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__bor_int32)
(
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__bor_int32)
(
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__bor_int32)
(
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__bor_int32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t *Cx = (int32_t *) Cx_output ;
int32_t x = (*((int32_t *) x_input)) ;
int32_t *Bx = (int32_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 ;
int32_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__bor_int32)
(
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 ;
int32_t *Cx = (int32_t *) Cx_output ;
int32_t *Ax = (int32_t *) Ax_input ;
int32_t y = (*((int32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int32_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) \
{ \
int32_t aij = Ax [pA] ; \
Cx [pC] = (x) | (aij) ; \
}
GrB_Info GB (_bind1st_tran__bor_int32)
(
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 \
int32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t x = (*((const int32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int32_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) \
{ \
int32_t aij = Ax [pA] ; \
Cx [pC] = (aij) | (y) ; \
}
GrB_Info GB (_bind2nd_tran__bor_int32)
(
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
int32_t y = (*((const int32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
atomic.h | /* Atomic operations (v1)
* Portable Snippets - https://gitub.com/nemequ/portable-snippets
* Created by Evan Nemerson <evan@nemerson.com>
*
* To the extent possible under law, the authors have waived all
* copyright and related or neighboring rights to this code. For
* details, see the Creative Commons Zero 1.0 Universal license at
* https://creativecommons.org/publicdomain/zero/1.0/
*
* This is a small abstraction layer for some common atomic operations
* (load, store, add, subtract, and compare & swap) implemented using
* various compiler-specific builtins.
*
* There are four types, 32-bit and 64-bit integers which are both
* atomic and non-atomic. The atomic versions should be used for the
* atomic variable, the non-atomic variables should be used to store
* values read from or written to an atomic variable. For example, a
* basic CAS loop:
*
* void square_dest(psnip_atomic_int64* value) {
* psnip_int64_t expected;
* do {
* expected = psnip_atomic_int64_load(&value);
* } while (!psnip_atomic_int64_compare_exchange(&value, &expected, expected * expected));
* }
*
* Most things are implemented with the preprocessor, but if they were
* functions the prototypes (the 64-bit versions, just s/64/32/ for
* the 32-bit versions) would loo like:
*
* psnip_int64_t psnip_atomic_int64_load(
* psnip_atomic_int64* object);
* void psnip_atomic_int64_store(
* psnip_atomic_int64* object,
* psnip_int64_t desired);
* _Bool psnip_atomic_int64_compare_exchange(
* psnip_atomic_int64* object,
* psnip_int64_t* expected,
* psnip_int64_t desired);
* psnip_int64_t psnip_atomic_int64_add(
* psnip_atomic_int64* object,
* psnip_int64_t operand);
* psnip_int64_t psnip_atomic_int64_sub(
* psnip_atomic_int64* object,
* psnip_int64_t operand);
*/
#if !defined(PSNIP_ATOMIC_H)
#define PSNIP_ATOMIC_H
#if !defined(psnip_int64_t) || !defined(psnip_int32_t)
# include "../exact-int/exact-int.h"
#endif
#if !defined(PSNIP_ATOMIC_STATIC_INLINE)
# if defined(__GNUC__)
# define PSNIP_ATOMIC__COMPILER_ATTRIBUTES __attribute__((__unused__))
# else
# define PSNIP_ATOMIC__COMPILER_ATTRIBUTES
# endif
# if defined(HEDLEY_INLINE)
# define PSNIP_ATOMIC__INLINE HEDLEY_INLINE
# elif defined(__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
# define PSNIP_ATOMIC__INLINE inline
# elif defined(__GNUC_STDC_INLINE__)
# define PSNIP_ATOMIC__INLINE __inline__
# elif defined(_MSC_VER) && _MSC_VER >= 1200
# define PSNIP_ATOMIC__INLINE __inline
# else
# define PSNIP_ATOMIC__INLINE
# endif
# define PSNIP_ATOMIC__FUNCTION PSNIP_ATOMIC__COMPILER_ATTRIBUTES static PSNIP_ATOMIC__INLINE
#endif
#if defined(__has_feature)
# define PSNIP_ATOMIC_HAS_FEATURE(feature) __has_feature(feature)
#else
# define PSNIP_ATOMIC_HAS_FEATURE(feature) 0
#endif
#define PSNIP_ATOMIC_IMPL_NONE 0
#define PSNIP_ATOMIC_IMPL_GCC 1
#define PSNIP_ATOMIC_IMPL_GCC_SYNC 2
#define PSNIP_ATOMIC_IMPL_CLANG 3
#define PSNIP_ATOMIC_IMPL_MS 4
#define PSNIP_ATOMIC_IMPL_OPENMP 5
#define PSNIP_ATOMIC_IMPL_C11 11
#if defined(__GNUC__) && ((__GNUC__ > 4) || (__GNUC__ == 4 && __GNUC_MINOR__ >= 7))
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_GCC
#elif !defined(__INTEL_COMPILER) && defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201112L) && !defined(__STDC_NO_ATOMICS__)
/* GCC 4.7 and 4.8 sets __STDC_VERSION__ to C11 (if compiling in C11
* mode) and didn't have stdatomic.h, but failed to set
* __STDC_NO_ATOMICS__. Verions prior to 4.7 didn't set
* __STDC_VERSION__ to C11. */
# if defined(__GNUC__) && (__GNUC__ == 4) && (__GNUC_MINOR__ < 9)
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_GCC
# else
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_C11
# endif
#elif defined(_MSC_VER)
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_MS
#elif defined(__GNUC__) && ((__GNUC__ > 4) || (__GNUC__ == 4 && __GNUC_MINOR__ >= 7))
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_GCC
#elif PSNIP_ATOMIC_HAS_FEATURE(c_atomic)
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_CLANG
#elif defined(__GNUC__) && ((__GNUC__ > 4) || (__GNUC__ == 4 && __GNUC_MINOR__ >= 1))
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_GCC_SYNC
#elif (defined(__SUNPRO_C) && (__SUNPRO_C >= 0x5140)) || (defined(__SUNPRO_CC) && (__SUNPRO_CC >= 0x5140))
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_GCC
#elif defined(_OPENMP)
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_OPENMP
#else
# define PSNIP_ATOMIC_NOT_FOUND
# define PSNIP_ATOMIC_IMPL PSNIP_ATOMIC_IMPL_NONE
# warning No atomic implementation found
#endif
#if !defined(PSNIP_ATOMIC_NOT_FOUND)
#if PSNIP_ATOMIC_IMPL == PSNIP_ATOMIC_IMPL_C11
#include <stdatomic.h>
typedef atomic_int_fast64_t psnip_atomic_int64;
typedef atomic_int_fast32_t psnip_atomic_int32;
#define PSNIP_ATOMIC_VAR_INIT(value) ATOMIC_VAR_INIT(value)
#define psnip_atomic_int64_load(object) \
atomic_load(object)
#define psnip_atomic_int64_store(object, desired) \
atomic_store(object, desired)
#define psnip_atomic_int64_compare_exchange(object, expected, desired) \
atomic_compare_exchange_strong(object, expected, desired)
#define psnip_atomic_int64_add(object, operand) \
atomic_fetch_add(object, operand)
#define psnip_atomic_int64_sub(object, operand) \
atomic_fetch_sub(object, operand)
#define psnip_atomic_fence() \
atomic_thread_fence(memory_order_seq_cst)
#define PSNIP_ATOMIC_IS_TG
#elif PSNIP_ATOMIC_IMPL == PSNIP_ATOMIC_IMPL_CLANG
#include <stdint.h>
typedef _Atomic psnip_int64_t psnip_atomic_int64;
typedef _Atomic psnip_int32_t psnip_atomic_int32;
#define psnip_atomic_int64_load(object) \
__c11_atomic_load(object, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_store(object, desired) \
__c11_atomic_store(object, desired, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_compare_exchange(object, expected, desired) \
__c11_atomic_compare_exchange_strong(object, expected, desired, __ATOMIC_SEQ_CST, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_add(object, operand) \
__c11_atomic_fetch_add(object, operand, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_sub(object, operand) \
__c11_atomic_fetch_sub(object, operand, __ATOMIC_SEQ_CST)
#define psnip_atomic_fence() \
__c11_atomic_thread_fence(__ATOMIC_SEQ_CST)
#define PSNIP_ATOMIC_IS_TG
#elif PSNIP_ATOMIC_IMPL == PSNIP_ATOMIC_IMPL_GCC
#include <stdint.h>
#if !defined(__INTEL_COMPILER) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 9)) && !defined(_OPENMP)
typedef _Atomic psnip_int64_t psnip_atomic_int64;
typedef _Atomic psnip_int32_t psnip_atomic_int32;
#else
typedef psnip_int64_t psnip_atomic_int64;
typedef psnip_int32_t psnip_atomic_int32;
#endif
#define psnip_atomic_int64_load(object) \
__atomic_load_n(object, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_store(object, desired) \
__atomic_store_n(object, desired, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_compare_exchange(object, expected, desired) \
__atomic_compare_exchange_n(object, expected, desired, 0, __ATOMIC_SEQ_CST, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_add(object, operand) \
__atomic_add_fetch(object, operand, __ATOMIC_SEQ_CST)
#define psnip_atomic_int64_sub(object, operand) \
__atomic_sub_fetch(object, operand, __ATOMIC_SEQ_CST)
#define psnip_atomic_fence() \
__atomic_thread_fence(__ATOMIC_SEQ_CST)
#define PSNIP_ATOMIC_IS_TG
#elif PSNIP_ATOMIC_IMPL == PSNIP_ATOMIC_IMPL_GCC_SYNC
#include <stdint.h>
typedef psnip_int64_t psnip_atomic_int64;
typedef psnip_int32_t psnip_atomic_int32;
PSNIP_ATOMIC__FUNCTION
psnip_int64_t
psnip_atomic_int64_load(psnip_atomic_int64* object) {
__sync_synchronize();
return (psnip_int64_t) *object;
}
PSNIP_ATOMIC__FUNCTION
void
psnip_atomic_int64_store(psnip_atomic_int64* object, psnip_int64_t desired) {
*object = desired;
__sync_synchronize();
}
#define psnip_atomic_int64_compare_exchange(object, expected, desired) \
__sync_bool_compare_and_swap(object, *(expected), desired)
#define psnip_atomic_int64_add(object, operand) \
__sync_fetch_and_add(object, operand)
#define psnip_atomic_int64_sub(object, operand) \
__sync_fetch_and_sub(object, operand)
PSNIP_ATOMIC__FUNCTION
psnip_int32_t
psnip_atomic_int32_load(psnip_atomic_int32* object) {
__sync_synchronize();
return (psnip_int32_t) *object;
}
PSNIP_ATOMIC__FUNCTION
void
psnip_atomic_int32_store(psnip_atomic_int32* object, psnip_int32_t desired) {
*object = desired;
__sync_synchronize();
}
#define psnip_atomic_int32_compare_exchange(object, expected, desired) \
__sync_bool_compare_and_swap(object, *(expected), desired)
#define psnip_atomic_int32_add(object, operand) \
__sync_fetch_and_add(object, operand)
#define psnip_atomic_int32_sub(object, operand) \
__sync_fetch_and_sub(object, operand)
#define psnip_atomic_fence() \
__sync_synchronize()
#elif PSNIP_ATOMIC_IMPL == PSNIP_ATOMIC_IMPL_MS
#include <Windows.h>
typedef long long volatile psnip_atomic_int64;
typedef long volatile psnip_atomic_int32;
#define psnip_atomic_int32_load(object) \
__pragma(warning(push)) \
__pragma(warning(disable:28112)) \
(*(object)) \
__pragma(warning(pop))
#define psnip_atomic_int32_store(object, desired) \
InterlockedExchange(object, desired)
#define psnip_atomic_int32_compare_exchange(object, expected, desired) \
InterlockedCompareExchange(object, desired, *(expected))
#define psnip_atomic_int32_add(object, operand) \
InterlockedExchangeAdd(object, operand)
#define psnip_atomic_int32_sub(object, operand) \
InterlockedExchangeAdd(object, -(operand))
#define psnip_atomic_int64_load(object) \
__pragma(warning(push)) \
__pragma(warning(disable:28112)) \
(*(object)) \
__pragma(warning(pop))
#define psnip_atomic_int64_store(object, desired) \
InterlockedExchange64(object, desired)
#define psnip_atomic_int64_compare_exchange(object, expected, desired) \
InterlockedCompareExchange64(object, desired, *(expected))
#define psnip_atomic_int64_add(object, operand) \
InterlockedExchangeAdd64(object, operand)
#define psnip_atomic_int64_sub(object, operand) \
InterlockedExchangeAdd64(object, -(operand))
#define psnip_atomic_fence() \
MemoryBarrier()
#elif PSNIP_ATOMIC_IMPL == PSNIP_ATOMIC_IMPL_OPENMP
#include <stdint.h>
typedef psnip_int64_t psnip_atomic_int64;
typedef psnip_int32_t psnip_atomic_int32;
PSNIP_ATOMIC__FUNCTION
psnip_int64_t
psnip_atomic_int64_load(psnip_atomic_int64* object) {
psnip_int64_t ret;
#pragma omp critical(psnip_atomic)
ret = *object;
return ret;
}
PSNIP_ATOMIC__FUNCTION
void
psnip_atomic_int64_store(psnip_atomic_int64* object, psnip_int64_t desired) {
#pragma omp critical(psnip_atomic)
*object = desired;
}
PSNIP_ATOMIC__FUNCTION
int
psnip_atomic_int64_compare_exchange_(psnip_atomic_int64* object, psnip_int64_t* expected, psnip_int64_t desired) {
int ret;
#pragma omp critical(psnip_atomic)
ret = (*object == *expected) ? ((*object = desired), 1) : 0;
return ret;
}
#define psnip_atomic_int64_compare_exchange(object, expected, desired) \
psnip_atomic_int64_compare_exchange_(object, expected, desired)
PSNIP_ATOMIC__FUNCTION
psnip_int64_t
psnip_atomic_int64_add(psnip_atomic_int64* object, psnip_int64_t operand) {
int ret;
#pragma omp critical(psnip_atomic)
*object = (ret = *object) + operand;
return ret;
}
PSNIP_ATOMIC__FUNCTION
psnip_int64_t
psnip_atomic_int64_sub(psnip_atomic_int64* object, psnip_int64_t operand) {
int ret;
#pragma omp critical(psnip_atomic)
*object = (ret = *object) - operand;
return ret;
}
PSNIP_ATOMIC__FUNCTION
psnip_int32_t
psnip_atomic_int32_load(psnip_atomic_int32* object) {
psnip_int32_t ret;
#pragma omp critical(psnip_atomic)
ret = *object;
return ret;
}
PSNIP_ATOMIC__FUNCTION
void
psnip_atomic_int32_store(psnip_atomic_int32* object, psnip_int32_t desired) {
#pragma omp critical(psnip_atomic)
*object = desired;
}
PSNIP_ATOMIC__FUNCTION
int
psnip_atomic_int32_compare_exchange_(psnip_atomic_int32* object, psnip_int32_t* expected, psnip_int32_t desired) {
int ret = 1;
#pragma omp critical(psnip_atomic)
ret = (*object == *expected) ? ((*object = desired), 1) : 0;
return ret;
}
#define psnip_atomic_int32_compare_exchange(object, expected, desired) \
psnip_atomic_int32_compare_exchange_(object, expected, desired)
PSNIP_ATOMIC__FUNCTION
psnip_int32_t
psnip_atomic_int32_add(psnip_atomic_int32* object, psnip_int32_t operand) {
int ret;
#pragma omp critical(psnip_atomic)
*object = (ret = *object) + operand;
return ret;
}
PSNIP_ATOMIC__FUNCTION
psnip_int32_t
psnip_atomic_int32_sub(psnip_atomic_int32* object, psnip_int32_t operand) {
int ret;
#pragma omp critical(psnip_atomic)
*object = (ret = *object) - operand;
return ret;
}
PSNIP_ATOMIC__FUNCTION
void
psnip_atomic_fence() {
#pragma omp critical(psnip_atomic)
{ }
}
#endif
#if !defined(PSNIP_ATOMIC_VAR_INIT)
# define PSNIP_ATOMIC_VAR_INIT(value) (value)
#endif
/* Most compilers have type-generic atomic implementations. */
#if defined(PSNIP_ATOMIC_IS_TG)
#define psnip_atomic_int32_load(object) \
psnip_atomic_int64_load(object)
#define psnip_atomic_int32_store(object, desired) \
psnip_atomic_int64_store(object, desired)
#define psnip_atomic_int32_compare_exchange(object, expected, desired) \
psnip_atomic_int64_compare_exchange(object, expected, desired)
#define psnip_atomic_int32_add(object, operand) \
psnip_atomic_int64_add(object, operand)
#define psnip_atomic_int32_sub(object, operand) \
psnip_atomic_int64_sub(object, operand)
#endif /* defined(PSNIP_ATOMIC_IS_TG) */
#endif /* !defined(PSNIP_ATOMIC_NOT_FOUND) */
#endif /* defined(PSNIP_ATOMIC_H) */
|
ellipticBuildJacobi.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.
*/
#include "elliptic.h"
void BuildLocalIpdgBBDiagTri2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A);
void BuildLocalIpdgDiagTri2D (elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A);
void BuildLocalIpdgDiagTri3D (elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A);
void BuildLocalIpdgDiagQuad2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dfloat *B, dfloat *Br, dfloat *Bs, dlong eM, dfloat *A);
void BuildLocalIpdgDiagQuad3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dfloat *B, dfloat *Br, dfloat *Bs, dlong eM, dfloat *A);
void BuildLocalIpdgDiagTet3D (elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A);
void BuildLocalIpdgDiagHex3D (elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dfloat *B, dfloat *Br, dfloat *Bs, dfloat *Bt, dlong eM, dfloat *A);
void BuildLocalContinuousDiagTri2D (elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *A);
void BuildLocalContinuousDiagQuad2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *B, dfloat *Br, dfloat *Bs, dfloat *A);
void BuildLocalContinuousDiagQuad3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *B, dfloat *Br, dfloat *Bs, dfloat *A);
void BuildLocalContinuousDiagTet3D (elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *A);
void BuildLocalContinuousDiagHex3D (elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *B, dfloat *Br, dfloat *Bs, dfloat *Bt, dfloat *A);
void ellipticBuildJacobi(elliptic_t* elliptic, dfloat lambda, dfloat **invDiagA){
mesh_t *mesh = elliptic->mesh;
setupAide options = elliptic->options;
// surface mass matrices MS = MM*LIFT
dfloat *MS = (dfloat *) calloc(mesh->Nfaces*mesh->Nfp*mesh->Nfp,sizeof(dfloat));
for (int f=0;f<mesh->Nfaces;f++) {
for (int n=0;n<mesh->Nfp;n++) {
int fn = mesh->faceNodes[f*mesh->Nfp+n];
for (int m=0;m<mesh->Nfp;m++) {
dfloat MSnm = 0;
for (int i=0;i<mesh->Np;i++){
MSnm += mesh->MM[fn+i*mesh->Np]*mesh->LIFT[i*mesh->Nfp*mesh->Nfaces+f*mesh->Nfp+m];
}
MS[m+n*mesh->Nfp + f*mesh->Nfp*mesh->Nfp] = MSnm;
}
}
}
// build some monolithic basis arrays (for quads and hexes)
dfloat *B = (dfloat*) calloc(mesh->Np*mesh->Np, sizeof(dfloat));
dfloat *Br = (dfloat*) calloc(mesh->Np*mesh->Np, sizeof(dfloat));
dfloat *Bs = (dfloat*) calloc(mesh->Np*mesh->Np, sizeof(dfloat));
dfloat *Bt = (dfloat*) calloc(mesh->Np*mesh->Np, sizeof(dfloat));
if (elliptic->elementType==QUADRILATERALS) {
int mode = 0;
for(int nj=0;nj<mesh->N+1;++nj){
for(int ni=0;ni<mesh->N+1;++ni){
int node = 0;
for(int j=0;j<mesh->N+1;++j){
for(int i=0;i<mesh->N+1;++i){
if(nj==j && ni==i)
B[mode*mesh->Np+node] = 1;
if(nj==j)
Br[mode*mesh->Np+node] = mesh->D[ni+mesh->Nq*i];
if(ni==i)
Bs[mode*mesh->Np+node] = mesh->D[nj+mesh->Nq*j];
++node;
}
}
++mode;
}
}
}
if (elliptic->elementType==HEXAHEDRA) {
int mode = 0;
for(int nk=0;nk<mesh->N+1;++nk){
for(int nj=0;nj<mesh->N+1;++nj){
for(int ni=0;ni<mesh->N+1;++ni){
int node = 0;
for(int k=0;k<mesh->N+1;++k){
for(int j=0;j<mesh->N+1;++j){
for(int i=0;i<mesh->N+1;++i){
if(nk==k && nj==j && ni==i)
B[mode*mesh->Np+node] = 1;
if(nj==j && nk==k)
Br[mode*mesh->Np+node] = mesh->D[ni+mesh->Nq*i];
if(ni==i && nk==k)
Bs[mode*mesh->Np+node] = mesh->D[nj+mesh->Nq*j];
if(ni==i && nj==j)
Bt[mode*mesh->Np+node] = mesh->D[nk+mesh->Nq*k];
++node;
}
}
}
++mode;
}
}
}
}
dlong diagNnum = mesh->Np*mesh->Nelements;
dfloat *diagA = (dfloat*) calloc(diagNnum, sizeof(dfloat));
if(mesh->rank==0) printf("Building diagonal...");fflush(stdout);
if (options.compareArgs("DISCRETIZATION","IPDG")) {
switch(elliptic->elementType){
case TRIANGLES:
if (options.compareArgs("BASIS","BERN")) {
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM)
BuildLocalIpdgBBDiagTri2D(elliptic, mesh, lambda, MS, eM, diagA + eM*mesh->Np);
} else {
if(mesh->dim==2){
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM){
BuildLocalIpdgDiagTri2D(elliptic, mesh, lambda, MS, eM, diagA + eM*mesh->Np);
}
}
else{
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM){
BuildLocalIpdgDiagTri3D(elliptic, mesh, lambda, MS, eM, diagA + eM*mesh->Np);
}
}
}
break;
case QUADRILATERALS:
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM)
BuildLocalIpdgDiagQuad2D(elliptic, mesh, lambda, MS, B, Br, Bs, eM, diagA + eM*mesh->Np);
// TW: MISSING
break;
case TETRAHEDRA:
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM)
BuildLocalIpdgDiagTet3D(elliptic, mesh, lambda, MS, eM, diagA + eM*mesh->Np);
break;
case HEXAHEDRA:
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM)
BuildLocalIpdgDiagHex3D(elliptic, mesh, lambda, MS, B, Br, Bs, Bt, eM, diagA + eM*mesh->Np);
break;
}
} else if (options.compareArgs("DISCRETIZATION","CONTINUOUS")) {
switch(elliptic->elementType){
case TRIANGLES:
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM)
BuildLocalContinuousDiagTri2D(elliptic, mesh, lambda, eM, diagA + eM*mesh->Np);
break;
case QUADRILATERALS:{
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM){
if(elliptic->dim==2)
BuildLocalContinuousDiagQuad2D(elliptic, mesh, lambda, eM, B, Br, Bs, diagA + eM*mesh->Np);
if(elliptic->dim==3)
BuildLocalContinuousDiagQuad3D(elliptic, mesh, lambda, eM, B, Br, Bs, diagA + eM*mesh->Np);
}
}break;
case TETRAHEDRA:
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM)
BuildLocalContinuousDiagTet3D(elliptic, mesh, lambda, eM, diagA + eM*mesh->Np);
break;
case HEXAHEDRA:
#pragma omp parallel for
for(dlong eM=0;eM<mesh->Nelements;++eM)
BuildLocalContinuousDiagHex3D(elliptic, mesh, lambda, eM, B, Br, Bs, Bt, diagA + eM*mesh->Np);
break;
}
}
if (options.compareArgs("DISCRETIZATION","CONTINUOUS"))
ogsGatherScatter(diagA, ogsDfloat, ogsAdd, elliptic->ogs);
*invDiagA = (dfloat*) calloc(diagNnum, sizeof(dfloat));
for (dlong n=0;n<mesh->Nelements*mesh->Np;n++) {
(*invDiagA)[n] = 1/diagA[n];
}
if(mesh->rank==0) printf("done.\n");
free(diagA);
free(MS);
free(B); free(Br); free(Bs); free(Bt);
}
void BuildLocalIpdgDiagTri2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A) {
dlong vbase = eM*mesh->Nvgeo;
dfloat drdx = mesh->vgeo[vbase+RXID];
dfloat drdy = mesh->vgeo[vbase+RYID];
dfloat dsdx = mesh->vgeo[vbase+SXID];
dfloat dsdy = mesh->vgeo[vbase+SYID];
dfloat J = mesh->vgeo[vbase+JID];
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
A[n] = J*lambda*mesh->MM[n*mesh->Np+n];
A[n] += J*drdx*drdx*mesh->Srr[n*mesh->Np+n];
A[n] += J*drdx*dsdx*mesh->Srs[n*mesh->Np+n];
A[n] += J*dsdx*drdx*mesh->Ssr[n*mesh->Np+n];
A[n] += J*dsdx*dsdx*mesh->Sss[n*mesh->Np+n];
A[n] += J*drdy*drdy*mesh->Srr[n*mesh->Np+n];
A[n] += J*drdy*dsdy*mesh->Srs[n*mesh->Np+n];
A[n] += J*dsdy*drdy*mesh->Ssr[n*mesh->Np+n];
A[n] += J*dsdy*dsdy*mesh->Sss[n*mesh->Np+n];
}
//add the rank boost for the allNeumann Poisson problem
if (elliptic->allNeumann) {
for(int n=0;n<mesh->Np;++n){
A[n] += elliptic->allNeumannPenalty*elliptic->allNeumannScale*elliptic->allNeumannScale;
}
}
for (int fM=0;fM<mesh->Nfaces;fM++) {
// load surface geofactors for this face
dlong sid = mesh->Nsgeo*(eM*mesh->Nfaces+fM);
dfloat nx = mesh->sgeo[sid+NXID];
dfloat ny = mesh->sgeo[sid+NYID];
dfloat sJ = mesh->sgeo[sid+SJID];
dfloat hinv = mesh->sgeo[sid+IHID];
int bc = mesh->EToB[fM+mesh->Nfaces*eM]; //raw boundary flag
dfloat penalty = elliptic->tau*hinv;
int bcD = 0, bcN =0;
int bcType = 0;
if(bc>0) bcType = elliptic->BCType[bc]; //find its type (Dirichlet/Neumann)
// this needs to be double checked (and the code where these are used)
if(bcType==1){ // Dirichlet
bcD = 1;
bcN = 0;
} else if(bcType==2){ // Neumann
bcD = 0;
bcN = 1;
}
// mass matrix for this face
dfloat *MSf = MS+fM*mesh->Nfp*mesh->Nfp;
// penalty term just involves face nodes
for(int n=0;n<mesh->Nfp;++n){
int nM = mesh->faceNodes[fM*mesh->Nfp+n];
for(int m=0;m<mesh->Nfp;++m){
int mM = mesh->faceNodes[fM*mesh->Nfp+m];
if (mM == nM) {
// OP11 = OP11 + 0.5*( gtau*mmE )
dfloat MSfnm = sJ*MSf[n*mesh->Nfp+m];
A[nM] += 0.5*(1.-bcN)*(1.+bcD)*penalty*MSfnm;
}
}
}
// now add differential surface terms
for(int n=0;n<mesh->Nfp;++n){
int nM = mesh->faceNodes[fM*mesh->Nfp+n];
for(int i=0;i<mesh->Nfp;++i){
int iM = mesh->faceNodes[fM*mesh->Nfp+i];
dfloat MSfni = sJ*MSf[n*mesh->Nfp+i]; // surface Jacobian built in
dfloat DxMim = drdx*mesh->Dr[iM*mesh->Np+nM] + dsdx*mesh->Ds[iM*mesh->Np+nM];
dfloat DyMim = drdy*mesh->Dr[iM*mesh->Np+nM] + dsdy*mesh->Ds[iM*mesh->Np+nM];
// OP11 = OP11 + 0.5*( - mmE*Dn1)
A[nM] += -0.5*nx*(1+bcD)*(1-bcN)*MSfni*DxMim;
A[nM] += -0.5*ny*(1+bcD)*(1-bcN)*MSfni*DyMim;
}
}
for(int n=0;n<mesh->Np;++n){
for(int m=0;m<mesh->Nfp;++m){
int mM = mesh->faceNodes[fM*mesh->Nfp+m];
if (mM==n) {
for(int i=0;i<mesh->Nfp;++i){
int iM = mesh->faceNodes[fM*mesh->Nfp+i];
dfloat MSfim = sJ*MSf[i*mesh->Nfp+m];
dfloat DxMin = drdx*mesh->Dr[iM*mesh->Np+n] + dsdx*mesh->Ds[iM*mesh->Np+n];
dfloat DyMin = drdy*mesh->Dr[iM*mesh->Np+n] + dsdy*mesh->Ds[iM*mesh->Np+n];
// OP11 = OP11 + (- Dn1'*mmE );
A[n] += -0.5*nx*(1+bcD)*(1-bcN)*DxMin*MSfim;
A[n] += -0.5*ny*(1+bcD)*(1-bcN)*DyMin*MSfim;
}
}
}
}
}
}
void BuildLocalIpdgDiagTri3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A) {
dlong vbase = eM*mesh->Nvgeo;
dfloat drdx = mesh->vgeo[vbase+RXID];
dfloat drdy = mesh->vgeo[vbase+RYID];
dfloat drdz = mesh->vgeo[vbase+RZID];
dfloat dsdx = mesh->vgeo[vbase+SXID];
dfloat dsdy = mesh->vgeo[vbase+SYID];
dfloat dsdz = mesh->vgeo[vbase+SZID];
dfloat J = mesh->vgeo[vbase+JID];
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
A[n] = J*lambda*mesh->MM[n*mesh->Np+n];
A[n] += J*drdx*drdx*mesh->Srr[n*mesh->Np+n];
A[n] += J*drdx*dsdx*mesh->Srs[n*mesh->Np+n];
A[n] += J*dsdx*drdx*mesh->Ssr[n*mesh->Np+n];
A[n] += J*dsdx*dsdx*mesh->Sss[n*mesh->Np+n];
A[n] += J*drdy*drdy*mesh->Srr[n*mesh->Np+n];
A[n] += J*drdy*dsdy*mesh->Srs[n*mesh->Np+n];
A[n] += J*dsdy*drdy*mesh->Ssr[n*mesh->Np+n];
A[n] += J*dsdy*dsdy*mesh->Sss[n*mesh->Np+n];
A[n] += J*drdz*drdz*mesh->Srr[n*mesh->Np+n];
A[n] += J*drdz*dsdz*mesh->Srs[n*mesh->Np+n];
A[n] += J*dsdz*drdz*mesh->Ssr[n*mesh->Np+n];
A[n] += J*dsdz*dsdz*mesh->Sss[n*mesh->Np+n];
}
//add the rank boost for the allNeumann Poisson problem
if (elliptic->allNeumann) {
for(int n=0;n<mesh->Np;++n){
A[n] += elliptic->allNeumannPenalty*elliptic->allNeumannScale*elliptic->allNeumannScale;
}
}
for (int fM=0;fM<mesh->Nfaces;fM++) {
// load surface geofactors for this face
dlong sid = mesh->Nsgeo*(eM*mesh->Nfaces+fM);
dfloat nx = mesh->sgeo[sid+NXID];
dfloat ny = mesh->sgeo[sid+NYID];
dfloat nz = mesh->sgeo[sid+NZID];
dfloat sJ = mesh->sgeo[sid+SJID];
dfloat hinv = mesh->sgeo[sid+IHID];
int bc = mesh->EToB[fM+mesh->Nfaces*eM]; //raw boundary flag
dfloat penalty = elliptic->tau*hinv;
int bcD = 0, bcN =0;
int bcType = 0;
if(bc>0) bcType = elliptic->BCType[bc]; //find its type (Dirichlet/Neumann)
// this needs to be double checked (and the code where these are used)
if(bcType==1){ // Dirichlet
bcD = 1;
bcN = 0;
} else if(bcType==2){ // Neumann
bcD = 0;
bcN = 1;
}
// mass matrix for this face
dfloat *MSf = MS+fM*mesh->Nfp*mesh->Nfp;
// penalty term just involves face nodes
for(int n=0;n<mesh->Nfp;++n){
int nM = mesh->faceNodes[fM*mesh->Nfp+n];
for(int m=0;m<mesh->Nfp;++m){
int mM = mesh->faceNodes[fM*mesh->Nfp+m];
if (mM == nM) {
// OP11 = OP11 + 0.5*( gtau*mmE )
dfloat MSfnm = sJ*MSf[n*mesh->Nfp+m];
A[nM] += 0.5*(1.-bcN)*(1.+bcD)*penalty*MSfnm;
}
}
}
// now add differential surface terms
for(int n=0;n<mesh->Nfp;++n){
int nM = mesh->faceNodes[fM*mesh->Nfp+n];
for(int i=0;i<mesh->Nfp;++i){
int iM = mesh->faceNodes[fM*mesh->Nfp+i];
dfloat MSfni = sJ*MSf[n*mesh->Nfp+i]; // surface Jacobian built in
dfloat DxMim = drdx*mesh->Dr[iM*mesh->Np+nM] + dsdx*mesh->Ds[iM*mesh->Np+nM];
dfloat DyMim = drdy*mesh->Dr[iM*mesh->Np+nM] + dsdy*mesh->Ds[iM*mesh->Np+nM];
dfloat DzMim = drdz*mesh->Dr[iM*mesh->Np+nM] + dsdz*mesh->Ds[iM*mesh->Np+nM];
// OP11 = OP11 + 0.5*( - mmE*Dn1)
A[nM] += -0.5*nx*(1+bcD)*(1-bcN)*MSfni*DxMim;
A[nM] += -0.5*ny*(1+bcD)*(1-bcN)*MSfni*DyMim;
A[nM] += -0.5*nz*(1+bcD)*(1-bcN)*MSfni*DzMim;
}
}
for(int n=0;n<mesh->Np;++n){
for(int m=0;m<mesh->Nfp;++m){
int mM = mesh->faceNodes[fM*mesh->Nfp+m];
if (mM==n) {
for(int i=0;i<mesh->Nfp;++i){
int iM = mesh->faceNodes[fM*mesh->Nfp+i];
dfloat MSfim = sJ*MSf[i*mesh->Nfp+m];
dfloat DxMin = drdx*mesh->Dr[iM*mesh->Np+n] + dsdx*mesh->Ds[iM*mesh->Np+n];
dfloat DyMin = drdy*mesh->Dr[iM*mesh->Np+n] + dsdy*mesh->Ds[iM*mesh->Np+n];
dfloat DzMin = drdz*mesh->Dr[iM*mesh->Np+n] + dsdz*mesh->Ds[iM*mesh->Np+n];
// OP11 = OP11 + (- Dn1'*mmE );
A[n] += -0.5*nx*(1+bcD)*(1-bcN)*DxMin*MSfim;
A[n] += -0.5*ny*(1+bcD)*(1-bcN)*DyMin*MSfim;
A[n] += -0.5*ny*(1+bcD)*(1-bcN)*DzMin*MSfim;
}
}
}
}
}
}
void BuildLocalIpdgPatchAxTri2D(elliptic_t* elliptic, mesh_t* mesh, int basisNp, dfloat *basis, dfloat lambda,
dfloat *MS, dlong eM, dfloat *A);
//generate the BB diagonal by extracting it from the transformed patch
void BuildLocalIpdgBBDiagTri2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A) {
dfloat *patchA = (dfloat *) calloc(mesh->Np*mesh->Np,sizeof(dfloat));
int basisNp = mesh->Np;
dfloat *basis = mesh->VB;
BuildLocalIpdgPatchAxTri2D(elliptic, mesh, basisNp, basis, lambda, MS, eM, patchA);
for(int n=0;n<mesh->Np;++n) {
A[n] = patchA[n*mesh->Np+n]; //store the diagonal entry
}
free(patchA);
}
//returns the continuous C0 patch A matrix for element eM
void BuildLocalContinuousDiagTri2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *A) {
dlong gbase = eM*mesh->Nggeo;
dfloat Grr = mesh->ggeo[gbase + G00ID];
dfloat Grs = mesh->ggeo[gbase + G01ID];
dfloat Gss = mesh->ggeo[gbase + G11ID];
dfloat J = mesh->ggeo[gbase + GWJID];
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
if (elliptic->mapB[n+eM*mesh->Np]!=1) { //dont fill rows for masked nodes
A[n] = J*lambda*mesh->MM[n+n*mesh->Np];
A[n] += Grr*mesh->Srr[n+n*mesh->Np];
A[n] += Grs*mesh->Srs[n+n*mesh->Np];
A[n] += Grs*mesh->Ssr[n+n*mesh->Np];
A[n] += Gss*mesh->Sss[n+n*mesh->Np];
} else {
A[n] = 1; //just put a 1 so A is invertable
}
}
//add the rank boost for the allNeumann Poisson problem
if (elliptic->allNeumann) {
for(int n=0;n<mesh->Np;++n){
if (elliptic->mapB[n+eM*mesh->Np]!=1) { //dont fill rows for masked nodes
A[n] += elliptic->allNeumannPenalty*elliptic->allNeumannScale*elliptic->allNeumannScale;
}
}
}
}
void BuildLocalIpdgDiagQuad2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dfloat *B, dfloat *Br, dfloat *Bs, dlong eM, dfloat *A) {
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
A[n] = 0;
// (grad phi_n, grad phi_m)_{D^e}
for(int i=0;i<mesh->Np;++i){
dlong base = eM*mesh->Np*mesh->Nvgeo + i;
dfloat drdx = mesh->vgeo[base+mesh->Np*RXID];
dfloat drdy = mesh->vgeo[base+mesh->Np*RYID];
dfloat dsdx = mesh->vgeo[base+mesh->Np*SXID];
dfloat dsdy = mesh->vgeo[base+mesh->Np*SYID];
dfloat JW = mesh->vgeo[base+mesh->Np*JWID];
int idn = n*mesh->Np+i;
dfloat dlndx = drdx*Br[idn] + dsdx*Bs[idn];
dfloat dlndy = drdy*Br[idn] + dsdy*Bs[idn];
A[n] += JW*(dlndx*dlndx+dlndy*dlndy);
A[n] += lambda*JW*B[idn]*B[idn];
}
for (int fM=0;fM<mesh->Nfaces;fM++) {
// accumulate flux terms for negative and positive traces
for(int i=0;i<mesh->Nfp;++i){
int vidM = mesh->faceNodes[i+fM*mesh->Nfp];
// grab vol geofacs at surface nodes
dlong baseM = eM*mesh->Np*mesh->Nvgeo + vidM;
dfloat drdxM = mesh->vgeo[baseM+mesh->Np*RXID];
dfloat drdyM = mesh->vgeo[baseM+mesh->Np*RYID];
dfloat dsdxM = mesh->vgeo[baseM+mesh->Np*SXID];
dfloat dsdyM = mesh->vgeo[baseM+mesh->Np*SYID];
// grab surface geometric factors
dlong base = mesh->Nsgeo*(eM*mesh->Nfp*mesh->Nfaces + fM*mesh->Nfp + i);
dfloat nx = mesh->sgeo[base+NXID];
dfloat ny = mesh->sgeo[base+NYID];
dfloat wsJ = mesh->sgeo[base+WSJID];
dfloat hinv = mesh->sgeo[base+IHID];
// form negative trace terms in IPDG
int idnM = n*mesh->Np+vidM;
dfloat dlndxM = drdxM*Br[idnM] + dsdxM*Bs[idnM];
dfloat dlndyM = drdyM*Br[idnM] + dsdyM*Bs[idnM];
dfloat ndotgradlnM = nx*dlndxM+ny*dlndyM;
dfloat lnM = B[idnM];
dfloat penalty = elliptic->tau*hinv;
int bc = mesh->EToB[fM+mesh->Nfaces*eM]; //raw boundary flag
int bcD = 0, bcN =0;
int bcType = 0;
if(bc>0) bcType = elliptic->BCType[bc]; //find its type (Dirichlet/Neumann)
// this needs to be double checked (and the code where these are used)
if(bcType==1){ // Dirichlet
bcD = 1;
bcN = 0;
} else if(bcType==2){ // Neumann
bcD = 0;
bcN = 1;
}
A[n] += -0.5*(1+bcD)*(1-bcN)*wsJ*lnM*ndotgradlnM; // -(ln^-, N.grad lm^-)
A[n] += -0.5*(1+bcD)*(1-bcN)*wsJ*ndotgradlnM*lnM; // -(N.grad ln^-, lm^-)
A[n] += +0.5*(1+bcD)*(1-bcN)*wsJ*penalty*lnM*lnM; // +((tau/h)*ln^-,lm^-)
}
}
}
}
void BuildLocalContinuousDiagQuad2D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM,
dfloat *B, dfloat *Br, dfloat* Bs, dfloat *A) {
for (int ny=0;ny<mesh->Nq;ny++) {
for (int nx=0;nx<mesh->Nq;nx++) {
int iid = nx+ny*mesh->Nq;
if (elliptic->mapB[nx+ny*mesh->Nq+eM*mesh->Np]!=1) {
A[iid] = 0;
for (int k=0;k<mesh->Nq;k++) {
int id = k+ny*mesh->Nq;
dfloat Grr = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G00ID*mesh->Np];
A[iid] += Grr*mesh->D[nx+k*mesh->Nq]*mesh->D[nx+k*mesh->Nq];
}
for (int k=0;k<mesh->Nq;k++) {
int id = nx+k*mesh->Nq;
dfloat Gss = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G11ID*mesh->Np];
A[iid] += Gss*mesh->D[ny+k*mesh->Nq]*mesh->D[ny+k*mesh->Nq];
}
int id = nx+ny*mesh->Nq;
dfloat Grs = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G01ID*mesh->Np];
A[iid] += 2*Grs*mesh->D[nx+nx*mesh->Nq]*mesh->D[ny+ny*mesh->Nq];
dfloat JW = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + GWJID*mesh->Np];
A[iid] += JW*lambda;
} else {
A[iid] = 1; //just put a 1 so A is invertable
}
}
}
//add the rank boost for the allNeumann Poisson problem
if (elliptic->allNeumann) {
for(int n=0;n<mesh->Np;++n){
if (elliptic->mapB[n+eM*mesh->Np]!=1) { //dont fill rows for masked nodes
A[n] += elliptic->allNeumannPenalty*elliptic->allNeumannScale*elliptic->allNeumannScale;
}
}
}
}
void BuildLocalIpdgDiagQuad3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dfloat *B, dfloat *Br, dfloat *Bs, dlong eM, dfloat *A) {
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
A[n] = 0;
// (grad phi_n, grad phi_m)_{D^e}
for(int i=0;i<mesh->Np;++i){
dlong base = eM*mesh->Np*mesh->Nvgeo + i;
dfloat drdx = mesh->vgeo[base+mesh->Np*RXID];
dfloat drdy = mesh->vgeo[base+mesh->Np*RYID];
dfloat drdz = mesh->vgeo[base+mesh->Np*RZID];
dfloat dsdx = mesh->vgeo[base+mesh->Np*SXID];
dfloat dsdy = mesh->vgeo[base+mesh->Np*SYID];
dfloat dsdz = mesh->vgeo[base+mesh->Np*SZID];
dfloat dtdx = mesh->vgeo[base+mesh->Np*TXID];
dfloat dtdy = mesh->vgeo[base+mesh->Np*TYID];
dfloat dtdz = mesh->vgeo[base+mesh->Np*TZID];
dfloat JW = mesh->vgeo[base+mesh->Np*JWID];
int idn = n*mesh->Np+i;
dfloat dlndx = drdx*Br[idn] + dsdx*Bs[idn] + dtdx;
dfloat dlndy = drdy*Br[idn] + dsdy*Bs[idn] + dtdy;
dfloat dlndz = drdz*Br[idn] + dsdz*Bs[idn] + dtdz;
A[n] += JW*(dlndx*dlndx + dlndy*dlndy + dlndz*dlndz);
A[n] += lambda*JW*B[idn]*B[idn];
}
for (int fM=0;fM<mesh->Nfaces;fM++) {
// accumulate flux terms for negative and positive traces
for(int i=0;i<mesh->Nfp;++i){
int vidM = mesh->faceNodes[i+fM*mesh->Nfp];
// grab vol geofacs at surface nodes
dlong baseM = eM*mesh->Np*mesh->Nvgeo + vidM;
dfloat drdxM = mesh->vgeo[baseM+mesh->Np*RXID];
dfloat drdyM = mesh->vgeo[baseM+mesh->Np*RYID];
dfloat drdzM = mesh->vgeo[baseM+mesh->Np*RZID];
dfloat dsdxM = mesh->vgeo[baseM+mesh->Np*SXID];
dfloat dsdyM = mesh->vgeo[baseM+mesh->Np*SYID];
dfloat dsdzM = mesh->vgeo[baseM+mesh->Np*SZID];
dfloat dtdxM = mesh->vgeo[baseM+mesh->Np*TXID];
dfloat dtdyM = mesh->vgeo[baseM+mesh->Np*TYID];
dfloat dtdzM = mesh->vgeo[baseM+mesh->Np*TZID];
// grab surface geometric factors
dlong base = mesh->Nsgeo*(eM*mesh->Nfp*mesh->Nfaces + fM*mesh->Nfp + i);
dfloat nx = mesh->sgeo[base+NXID];
dfloat ny = mesh->sgeo[base+NYID];
dfloat nz = mesh->sgeo[base+NZID];
dfloat wsJ = mesh->sgeo[base+WSJID];
dfloat hinv = mesh->sgeo[base+IHID];
// form negative trace terms in IPDG
int idnM = n*mesh->Np+vidM;
dfloat dlndxM = drdxM*Br[idnM] + dsdxM*Bs[idnM] + dtdxM;
dfloat dlndyM = drdyM*Br[idnM] + dsdyM*Bs[idnM] + dtdyM;
dfloat dlndzM = drdzM*Br[idnM] + dsdzM*Bs[idnM] + dtdzM;
dfloat ndotgradlnM = nx*dlndxM+ny*dlndyM+nz*dlndzM ;
dfloat lnM = B[idnM];
dfloat penalty = elliptic->tau*hinv;
A[n] += -0.5*wsJ*lnM*ndotgradlnM; // -(ln^-, N.grad lm^-)
A[n] += -0.5*wsJ*ndotgradlnM*lnM; // -(N.grad ln^-, lm^-)
A[n] += +0.5*wsJ*penalty*lnM*lnM; // +((tau/h)*ln^-,lm^-)
}
}
}
}
void BuildLocalContinuousDiagQuad3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM,
dfloat *B, dfloat *Br, dfloat* Bs, dfloat *A) {
for (int ny=0;ny<mesh->Nq;ny++) {
for (int nx=0;nx<mesh->Nq;nx++) {
int iid = nx+ny*mesh->Nq;
A[iid] = 0;
for (int k=0;k<mesh->Nq;k++) {
int id = k+ny*mesh->Nq;
dfloat Grr = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G00ID*mesh->Np];
A[iid] += Grr*mesh->D[nx+k*mesh->Nq]*mesh->D[nx+k*mesh->Nq];
}
for (int k=0;k<mesh->Nq;k++) {
int id = nx+k*mesh->Nq;
dfloat Gss = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G11ID*mesh->Np];
A[iid] += Gss*mesh->D[ny+k*mesh->Nq]*mesh->D[ny+k*mesh->Nq];
}
int id = nx+ny*mesh->Nq;
dfloat Grs = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G01ID*mesh->Np];
A[iid] += 2*Grs*mesh->D[nx+nx*mesh->Nq]*mesh->D[ny+ny*mesh->Nq];
// id = nx+ny*mesh->Nq;
// dfloat Grt = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G02ID*mesh->Np];
// A[iid] += 2*Grt*mesh->D[nx+nx*mesh->Nq];
// id = nx+ny*mesh->Nq;
// dfloat Gst = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G12ID*mesh->Np];
// A[iid] += 2*Gst*mesh->D[ny+ny*mesh->Nq];
// dfloat Gtt = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + G22ID*mesh->Np];
// A[iid] += Gtt;
dfloat JW = mesh->ggeo[eM*mesh->Np*mesh->Nggeo + id + GWJID*mesh->Np];
A[iid] += JW*lambda;
}
}
}
void BuildLocalIpdgDiagTet3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dlong eM, dfloat *A) {
dlong vbase = eM*mesh->Nvgeo;
dfloat drdx = mesh->vgeo[vbase+RXID];
dfloat drdy = mesh->vgeo[vbase+RYID];
dfloat drdz = mesh->vgeo[vbase+RZID];
dfloat dsdx = mesh->vgeo[vbase+SXID];
dfloat dsdy = mesh->vgeo[vbase+SYID];
dfloat dsdz = mesh->vgeo[vbase+SZID];
dfloat dtdx = mesh->vgeo[vbase+TXID];
dfloat dtdy = mesh->vgeo[vbase+TYID];
dfloat dtdz = mesh->vgeo[vbase+TZID];
dfloat J = mesh->vgeo[vbase+JID];
dfloat G00 = drdx*drdx + drdy*drdy + drdz*drdz;
dfloat G01 = drdx*dsdx + drdy*dsdy + drdz*dsdz;
dfloat G02 = drdx*dtdx + drdy*dtdy + drdz*dtdz;
dfloat G10 = dsdx*drdx + dsdy*drdy + dsdz*drdz;
dfloat G11 = dsdx*dsdx + dsdy*dsdy + dsdz*dsdz;
dfloat G12 = dsdx*dtdx + dsdy*dtdy + dsdz*dtdz;
dfloat G20 = dtdx*drdx + dtdy*drdy + dtdz*drdz;
dfloat G21 = dtdx*dsdx + dtdy*dsdy + dtdz*dsdz;
dfloat G22 = dtdx*dtdx + dtdy*dtdy + dtdz*dtdz;
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
A[n] = J*lambda*mesh->MM[n*mesh->Np+n];
A[n] += J*G00*mesh->Srr[n*mesh->Np+n];
A[n] += J*G01*mesh->Srs[n*mesh->Np+n];
A[n] += J*G02*mesh->Srt[n*mesh->Np+n];
A[n] += J*G10*mesh->Ssr[n*mesh->Np+n];
A[n] += J*G11*mesh->Sss[n*mesh->Np+n];
A[n] += J*G12*mesh->Sst[n*mesh->Np+n];
A[n] += J*G20*mesh->Str[n*mesh->Np+n];
A[n] += J*G21*mesh->Sts[n*mesh->Np+n];
A[n] += J*G22*mesh->Stt[n*mesh->Np+n];
}
//add the rank boost for the allNeumann Poisson problem
if (elliptic->allNeumann) {
for(int n=0;n<mesh->Np;++n){
A[n] += elliptic->allNeumannPenalty*elliptic->allNeumannScale*elliptic->allNeumannScale;
}
}
for (int fM=0;fM<mesh->Nfaces;fM++) {
// load surface geofactors for this face
dlong sid = mesh->Nsgeo*(eM*mesh->Nfaces+fM);
dfloat nx = mesh->sgeo[sid+NXID];
dfloat ny = mesh->sgeo[sid+NYID];
dfloat nz = mesh->sgeo[sid+NZID];
dfloat sJ = mesh->sgeo[sid+SJID];
dfloat hinv = mesh->sgeo[sid+IHID];
int bc = mesh->EToB[fM+mesh->Nfaces*eM]; //raw boundary flag
dfloat penalty = elliptic->tau*hinv;
int bcD = 0, bcN =0;
int bcType = 0;
if(bc>0) bcType = elliptic->BCType[bc]; //find its type (Dirichlet/Neumann)
// this needs to be double checked (and the code where these are used)
if(bcType==1){ // Dirichlet
bcD = 1;
bcN = 0;
} else if(bcType==2){ // Neumann
bcD = 0;
bcN = 1;
}
// mass matrix for this face
dfloat *MSf = MS+fM*mesh->Nfp*mesh->Nfp;
// penalty term just involves face nodes
for(int n=0;n<mesh->Nfp;++n){
for(int m=0;m<mesh->Nfp;++m){
int nM = mesh->faceNodes[fM*mesh->Nfp+n];
int mM = mesh->faceNodes[fM*mesh->Nfp+m];
if (mM==nM) {
// OP11 = OP11 + 0.5*( gtau*mmE )
dfloat MSfnm = sJ*MSf[n*mesh->Nfp+m];
A[nM] += 0.5*(1.-bcN)*(1.+bcD)*penalty*MSfnm;
}
}
}
// now add differential surface terms
for(int n=0;n<mesh->Nfp;++n){
int nM = mesh->faceNodes[fM*mesh->Nfp+n];
for(int i=0;i<mesh->Nfp;++i){
int iM = mesh->faceNodes[fM*mesh->Nfp+i];
dfloat MSfni = sJ*MSf[n*mesh->Nfp+i]; // surface Jacobian built in
dfloat DxMim = drdx*mesh->Dr[iM*mesh->Np+nM] + dsdx*mesh->Ds[iM*mesh->Np+nM] + dtdx*mesh->Dt[iM*mesh->Np+nM];
dfloat DyMim = drdy*mesh->Dr[iM*mesh->Np+nM] + dsdy*mesh->Ds[iM*mesh->Np+nM] + dtdy*mesh->Dt[iM*mesh->Np+nM];
dfloat DzMim = drdz*mesh->Dr[iM*mesh->Np+nM] + dsdz*mesh->Ds[iM*mesh->Np+nM] + dtdz*mesh->Dt[iM*mesh->Np+nM];
// OP11 = OP11 + 0.5*( - mmE*Dn1)
A[nM] += -0.5*nx*(1+bcD)*(1-bcN)*MSfni*DxMim;
A[nM] += -0.5*ny*(1+bcD)*(1-bcN)*MSfni*DyMim;
A[nM] += -0.5*nz*(1+bcD)*(1-bcN)*MSfni*DzMim;
}
}
for(int n=0;n<mesh->Np;++n){
for(int m=0;m<mesh->Nfp;++m){
int mM = mesh->faceNodes[fM*mesh->Nfp+m];
if (mM==n) {
for(int i=0;i<mesh->Nfp;++i){
int iM = mesh->faceNodes[fM*mesh->Nfp+i];
dfloat MSfim = sJ*MSf[i*mesh->Nfp+m];
dfloat DxMin = drdx*mesh->Dr[iM*mesh->Np+n] + dsdx*mesh->Ds[iM*mesh->Np+n] + dtdx*mesh->Dt[iM*mesh->Np+n];
dfloat DyMin = drdy*mesh->Dr[iM*mesh->Np+n] + dsdy*mesh->Ds[iM*mesh->Np+n] + dtdy*mesh->Dt[iM*mesh->Np+n];
dfloat DzMin = drdz*mesh->Dr[iM*mesh->Np+n] + dsdz*mesh->Ds[iM*mesh->Np+n] + dtdz*mesh->Dt[iM*mesh->Np+n];
// OP11 = OP11 + (- Dn1'*mmE );
A[n] += -0.5*nx*(1+bcD)*(1-bcN)*DxMin*MSfim;
A[n] += -0.5*ny*(1+bcD)*(1-bcN)*DyMin*MSfim;
A[n] += -0.5*nz*(1+bcD)*(1-bcN)*DzMin*MSfim;
}
}
}
}
}
}
void BuildLocalContinuousDiagTet3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *A) {
dlong gbase = eM*mesh->Nggeo;
dfloat Grr = mesh->ggeo[gbase + G00ID];
dfloat Grs = mesh->ggeo[gbase + G01ID];
dfloat Grt = mesh->ggeo[gbase + G02ID];
dfloat Gss = mesh->ggeo[gbase + G11ID];
dfloat Gst = mesh->ggeo[gbase + G12ID];
dfloat Gtt = mesh->ggeo[gbase + G22ID];
dfloat J = mesh->ggeo[gbase + GWJID];
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
if (elliptic->mapB[n+eM*mesh->Np]!=1) { //dont fill rows for masked nodes
A[n] = J*lambda*mesh->MM[n+n*mesh->Np];
A[n] += Grr*mesh->Srr[n+n*mesh->Np];
A[n] += Grs*mesh->Srs[n+n*mesh->Np];
A[n] += Grt*mesh->Srt[n+n*mesh->Np];
A[n] += Grs*mesh->Ssr[n+n*mesh->Np];
A[n] += Gss*mesh->Sss[n+n*mesh->Np];
A[n] += Gst*mesh->Sst[n+n*mesh->Np];
A[n] += Grt*mesh->Str[n+n*mesh->Np];
A[n] += Gst*mesh->Sts[n+n*mesh->Np];
A[n] += Gtt*mesh->Stt[n+n*mesh->Np];
} else {
A[n] = 1; //just put a 1 so A is invertable
}
}
//add the rank boost for the allNeumann Poisson problem
if (elliptic->allNeumann) {
for(int n=0;n<mesh->Np;++n){
if (elliptic->mapB[n+eM*mesh->Np]!=1) { //dont fill rows for masked nodes
A[n] += elliptic->allNeumannPenalty*elliptic->allNeumannScale*elliptic->allNeumannScale;
}
}
}
}
void BuildLocalIpdgDiagHex3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dfloat *MS, dfloat *B, dfloat *Br, dfloat *Bs, dfloat *Bt, dlong eM, dfloat *A) {
/* start with stiffness matrix */
for(int n=0;n<mesh->Np;++n){
A[n] = 0;
// (grad phi_n, grad phi_m)_{D^e}
for(int i=0;i<mesh->Np;++i){
dlong base = eM*mesh->Np*mesh->Nvgeo + i;
dfloat drdx = mesh->vgeo[base+mesh->Np*RXID];
dfloat drdy = mesh->vgeo[base+mesh->Np*RYID];
dfloat drdz = mesh->vgeo[base+mesh->Np*RZID];
dfloat dsdx = mesh->vgeo[base+mesh->Np*SXID];
dfloat dsdy = mesh->vgeo[base+mesh->Np*SYID];
dfloat dsdz = mesh->vgeo[base+mesh->Np*SZID];
dfloat dtdx = mesh->vgeo[base+mesh->Np*TXID];
dfloat dtdy = mesh->vgeo[base+mesh->Np*TYID];
dfloat dtdz = mesh->vgeo[base+mesh->Np*TZID];
dfloat JW = mesh->vgeo[base+mesh->Np*JWID];
int idn = n*mesh->Np+i;
dfloat dlndx = drdx*Br[idn] + dsdx*Bs[idn] + dtdx*Bt[idn];
dfloat dlndy = drdy*Br[idn] + dsdy*Bs[idn] + dtdy*Bt[idn];
dfloat dlndz = drdz*Br[idn] + dsdz*Bs[idn] + dtdz*Bt[idn];
A[n] += JW*(dlndx*dlndx+dlndy*dlndy+dlndz*dlndz);
A[n] += lambda*JW*B[idn]*B[idn];
}
for (int fM=0;fM<mesh->Nfaces;fM++) {
// accumulate flux terms for negative and positive traces
for(int i=0;i<mesh->Nfp;++i){
int vidM = mesh->faceNodes[i+fM*mesh->Nfp];
// grab vol geofacs at surface nodes
dlong baseM = eM*mesh->Np*mesh->Nvgeo + vidM;
dfloat drdxM = mesh->vgeo[baseM+mesh->Np*RXID];
dfloat drdyM = mesh->vgeo[baseM+mesh->Np*RYID];
dfloat drdzM = mesh->vgeo[baseM+mesh->Np*RZID];
dfloat dsdxM = mesh->vgeo[baseM+mesh->Np*SXID];
dfloat dsdyM = mesh->vgeo[baseM+mesh->Np*SYID];
dfloat dsdzM = mesh->vgeo[baseM+mesh->Np*SZID];
dfloat dtdxM = mesh->vgeo[baseM+mesh->Np*TXID];
dfloat dtdyM = mesh->vgeo[baseM+mesh->Np*TYID];
dfloat dtdzM = mesh->vgeo[baseM+mesh->Np*TZID];
// grab surface geometric factors
dlong base = mesh->Nsgeo*(eM*mesh->Nfp*mesh->Nfaces + fM*mesh->Nfp + i);
dfloat nx = mesh->sgeo[base+NXID];
dfloat ny = mesh->sgeo[base+NYID];
dfloat nz = mesh->sgeo[base+NZID];
dfloat wsJ = mesh->sgeo[base+WSJID];
dfloat hinv = mesh->sgeo[base+IHID];
// form negative trace terms in IPDG
int idnM = n*mesh->Np+vidM;
dfloat dlndxM = drdxM*Br[idnM] + dsdxM*Bs[idnM] + dtdxM*Bt[idnM];
dfloat dlndyM = drdyM*Br[idnM] + dsdyM*Bs[idnM] + dtdyM*Bt[idnM];
dfloat dlndzM = drdzM*Br[idnM] + dsdzM*Bs[idnM] + dtdzM*Bt[idnM];
dfloat ndotgradlnM = nx*dlndxM+ny*dlndyM+nz*dlndzM;
dfloat lnM = B[idnM];
dfloat penalty = elliptic->tau*hinv;
int bc = mesh->EToB[fM+mesh->Nfaces*eM]; //raw boundary flag
int bcD = 0, bcN =0;
int bcType = 0;
if(bc>0) bcType = elliptic->BCType[bc]; //find its type (Dirichlet/Neumann)
// this needs to be double checked (and the code where these are used)
if(bcType==1){ // Dirichlet
bcD = 1;
bcN = 0;
} else if(bcType==2){ // Neumann
bcD = 0;
bcN = 1;
}
A[n] += -0.5*(1+bcD)*(1-bcN)*wsJ*lnM*ndotgradlnM; // -(ln^-, N.grad lm^-)
A[n] += -0.5*(1+bcD)*(1-bcN)*wsJ*ndotgradlnM*lnM; // -(N.grad ln^-, lm^-)
A[n] += +0.5*(1+bcD)*(1-bcN)*wsJ*penalty*lnM*lnM; // +((tau/h)*ln^-,lm^-)
}
}
}
}
void BuildLocalContinuousDiagHex3D(elliptic_t* elliptic, mesh_t *mesh, dfloat lambda, dlong eM, dfloat *B, dfloat *Br, dfloat *Bs, dfloat *Bt, dfloat *A) {
for (int nz=0;nz<mesh->Nq;nz++) {
for (int ny=0;ny<mesh->Nq;ny++) {
for (int nx=0;nx<mesh->Nq;nx++) {
int idn = nx+ny*mesh->Nq+nz*mesh->Nq*mesh->Nq;
if (elliptic->mapB[idn+eM*mesh->Np]!=1) {
A[idn] = 0;
int id = nx+ny*mesh->Nq+nz*mesh->Nq*mesh->Nq;
dlong base = eM*mesh->Np*mesh->Nggeo;
dfloat Grs = mesh->ggeo[base + id + G01ID*mesh->Np];
A[idn] += 2*Grs*mesh->D[nx+nx*mesh->Nq]*mesh->D[ny+ny*mesh->Nq];
dfloat Grt = mesh->ggeo[base + id + G02ID*mesh->Np];
A[idn] += 2*Grt*mesh->D[nx+nx*mesh->Nq]*mesh->D[nz+nz*mesh->Nq];
dfloat Gst = mesh->ggeo[base + id + G12ID*mesh->Np];
A[idn] += 2*Gst*mesh->D[ny+ny*mesh->Nq]*mesh->D[nz+nz*mesh->Nq];
for (int k=0;k<mesh->Nq;k++) {
int iid = k+ny*mesh->Nq+nz*mesh->Nq*mesh->Nq;
dfloat Grr = mesh->ggeo[base + iid + G00ID*mesh->Np];
A[idn] += Grr*mesh->D[nx+k*mesh->Nq]*mesh->D[nx+k*mesh->Nq];
}
for (int k=0;k<mesh->Nq;k++) {
int iid = nx+k*mesh->Nq+nz*mesh->Nq*mesh->Nq;
dfloat Gss = mesh->ggeo[base + iid + G11ID*mesh->Np];
A[idn] += Gss*mesh->D[ny+k*mesh->Nq]*mesh->D[ny+k*mesh->Nq];
}
for (int k=0;k<mesh->Nq;k++) {
int iid = nx+ny*mesh->Nq+k*mesh->Nq*mesh->Nq;
dfloat Gtt = mesh->ggeo[base + iid + G22ID*mesh->Np];
A[idn] += Gtt*mesh->D[nz+k*mesh->Nq]*mesh->D[nz+k*mesh->Nq];
}
dfloat JW = mesh->ggeo[base + id + GWJID*mesh->Np];
A[idn] += JW*lambda;
} else {
A[idn] = 1; //just put a 1 so A is invertable
}
}
}
}
//add the rank boost for the allNeumann Poisson problem
if (elliptic->allNeumann) {
for(int n=0;n<mesh->Np;++n){
if (elliptic->mapB[n+eM*mesh->Np]!=1) { //dont fill rows for masked nodes
A[n] += elliptic->allNeumannPenalty*elliptic->allNeumannScale*elliptic->allNeumannScale;
}
}
}
}
|
DRB036-truedepscalar-var-yes.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
Loop carried true dep between tmp =.. and ..= tmp.
Data race pair: tmp@66:12 vs. tmp@67:5
*/
#include "omprace.h"
#include <omp.h>
#include <stdlib.h>
int main(int argc, char* argv[])
{
omprace_init();
int i;
int tmp;
tmp = 10;
int len=100;
if (argc>1)
len = atoi(argv[1]);
int a[len];
#pragma omp parallel for
for (i=0;i<len;i++)
{
a[i] = tmp;
tmp =a[i]+i;
}
omprace_fini();
return 0;
}
|
gdal_r_netd.c |
#include<stdio.h>
#include<omp.h>
#include<math.h>
#include "gdal.h"
#include "r_netd.h"
void usage()
{
printf( "-----------------------------------------\n");
printf( "--Modis Processing chain--Serial code----\n");
printf( "-----------------------------------------\n");
printf( "./r_netd inAlbedo inDEM inE31 inE32 inLST\n");
printf( "\toutRNETD\n");
printf( "\tdoy\n");
printf( "-----------------------------------------\n");
printf( "outETPOT\tPotential ET output [mm/d]\n");
printf( "doy\t\tDay of Year [-]\n");
return;
}
int main( int argc, char *argv[] )
{
if( argc < 7 ) {
usage();
return 1;
}
int row, col;
double geomx[6]={0.0};
char *inB1 = argv[1]; //Albedo
char *inB2 = argv[2]; //DEM
char *inB3 = argv[3]; //e0 31
char *inB4 = argv[4]; //e0 32
char *inB5 = argv[5]; //LST
char *rnetdF = argv[6];
float doy = atof( argv[7] );
// printf("\ndoy\t= %7.2f\n\n",doy);
// printf("%s %s %s %s %s\n",inB1, inB2, inB3, inB4, inB5);
GDALAllRegister();
GDALDatasetH hD1 = GDALOpen(inB1,GA_ReadOnly);//Albedo
GDALDatasetH hD2 = GDALOpen(inB2,GA_ReadOnly);//DEM
GDALDatasetH hD3 = GDALOpen(inB3,GA_ReadOnly);//E 31
GDALDatasetH hD4 = GDALOpen(inB4,GA_ReadOnly);//E 32
GDALDatasetH hD5 = GDALOpen(inB5,GA_ReadOnly);//LST
if(hD1==NULL||hD2==NULL||hD3==NULL||hD4==NULL||hD5==NULL){
printf("One or more input files ");
printf("could not be loaded\n");
exit(1);
}
if(GDALGetGeoTransform(hD1,geomx)==CE_None){
/* Do Nothing */
// printf( "Origin (ULx,ULy) = (%.6f,%.6f)\n", geomx[0], geomx[3] );
// printf( "Pixel Size = (%.6f,%.6f)\n", geomx[1], geomx[5] );
// printf( "Rot0 = (%.6f,%.6f)\n", geomx[2], geomx[4] );
} else {
printf("ERROR: Projection acquisition problem from Band1\n");
exit(1);
}
GDALDriverH hDr2 = GDALGetDatasetDriver(hD2);
char **options = NULL;
options = CSLSetNameValue( options, "TILED", "YES" );
options = CSLSetNameValue( options, "COMPRESS", "DEFLATE" );
options = CSLSetNameValue( options, "PREDICTOR", "2" );
//RNETD out
GDALDatasetH hDOut = GDALCreateCopy( hDr2, rnetdF,hD2,FALSE,options,NULL,NULL);
GDALRasterBandH hBOut = GDALGetRasterBand(hDOut,1);
GDALRasterBandH hB1 = GDALGetRasterBand(hD1,1);//Albedo
GDALRasterBandH hB2 = GDALGetRasterBand(hD2,1);//DEM
GDALRasterBandH hB3 = GDALGetRasterBand(hD3,1);//E 31
GDALRasterBandH hB4 = GDALGetRasterBand(hD4,1);//E 32
GDALRasterBandH hB5 = GDALGetRasterBand(hD5,1);//LST
int nX = GDALGetRasterBandXSize(hB1);
int nY = GDALGetRasterBandYSize(hB1);
float *mat1 = (float *) malloc(sizeof(float)*nX);
float *mat2 = (float *) malloc(sizeof(float)*nX);
float *mat3 = (float *) malloc(sizeof(float)*nX);
float *mat4 = (float *) malloc(sizeof(float)*nX);
float *mat5 = (float *) malloc(sizeof(float)*nX);
float *matOut = (float *) malloc(sizeof(float)*nX);
/* int i,temp,histogramT[512];
for (i=0;i<512;i++){
histogramT[i]=0;
}*/
float solar, rnetd, e0;
for(row=0;row<nY;row++){
GDALRasterIO(hB1,GF_Read,0,row,nX,1,mat1,nX,1,GDT_Float32,0,0);
GDALRasterIO(hB2,GF_Read,0,row,nX,1,mat2,nX,1,GDT_Float32,0,0);
GDALRasterIO(hB3,GF_Read,0,row,nX,1,mat3,nX,1,GDT_Float32,0,0);
GDALRasterIO(hB4,GF_Read,0,row,nX,1,mat4,nX,1,GDT_Float32,0,0);
GDALRasterIO(hB5,GF_Read,0,row,nX,1,mat5,nX,1,GDT_Float32,0,0);
#pragma omp parallel for default(none) \
private(col, solar, rnetd, e0)\
shared( row, doy, geomx,nX, \
mat1, mat2, mat3, mat4, mat5, matOut )
for(col=0;col<nX;col++){
if(mat1[col]==-28768||mat5[col]==-28768||mat5[col]==0){
matOut[col] = -28768;
}else {
/*temp = (int) (mat1[col]);
if(temp>0) histogramT[temp]=histogramT[temp]+1.0;*/
// printf("lat=%f\n", geomx[3]+geomx[4]*col+geomx[5]*row);
// printf("%f \n",e0);
e0 = 0.5*((mat3[col]*0.002+0.49)+(mat4[col]*0.002+0.49));
solar = solar_day(geomx[3]+geomx[4]*col+geomx[5]*row, doy, mat2[col] );
//rnetd = r_net_d( mat1[col]*0.001, solar, e0, mat5[col]*0.02, mat2[col]);
rnetd = r_net_day( mat1[col]*0.001, solar, mat2[col]);
matOut[col]=rnetd;
}
}
#pragma omp barrier
GDALRasterIO(hBOut,GF_Write,0,row,nX,1,matOut,nX,1,GDT_Float32,0,0);
}
GDALClose(hDOut);
/* for (i=0;i<512;i++){
printf("%i\t%i\n",i,histogramT[i]);
}*/
//free memory close unused files
if(mat1 != NULL) free(mat1);
if(mat2 != NULL) free(mat2);
if(mat3 != NULL) free(mat3);
if(mat4 != NULL) free(mat4);
if(mat5 != NULL) free(mat5);
if(matOut != NULL) free(matOut);
GDALClose(hD1);
GDALClose(hD2);
GDALClose(hD3);
GDALClose(hD4);
GDALClose(hD5);
return(EXIT_SUCCESS);
}
|
metric.c | /*---------------------------------------------------------------------------------
METRIC.C
-Helper functions for metric tensors
-Compute 4x4 matrix minor, adjoint, determinant and inverse
-Compute connection coefficients
-Raise and lower rank-1 tensors
-Take dot product of a contravariant and covariant rank-1 tensor
---------------------------------------------------------------------------------*/
#include "decs.h"
double MINOR(double m[16], int r0, int r1, int r2, int c0, int c1, int c2);
void adjoint(double m[16], double adjOut[16]);
double determinant(double m[16]);
inline double gcon_func(double gcov[NDIM][NDIM], double gcon[NDIM][NDIM])
{
double gdet = invert(&gcov[0][0],&gcon[0][0]);
return sqrt(fabs(gdet));
}
inline void get_gcov(struct GridGeom *G, int i, int j, int loc, double gcov[NDIM][NDIM]) {
DLOOP2 gcov[mu][nu] = G->gcov[loc][mu][nu][j][i];
}
inline void get_gcon(struct GridGeom *G, int i, int j, int loc, double gcon[NDIM][NDIM])
{
DLOOP2 gcon[mu][nu] = G->gcon[loc][mu][nu][j][i];
}
// Calculate connection coefficient
inline void conn_func(struct GridGeom *G, int i, int j)
{
double tmp[NDIM][NDIM][NDIM];
double X[NDIM], Xh[NDIM], Xl[NDIM];
double gh[NDIM][NDIM];
double gl[NDIM][NDIM];
coord(i, j, CENT, X);
for (int mu = 0; mu < NDIM; mu++) {
for (int kap = 0; kap < NDIM; kap++) {
Xh[kap] = X[kap];
}
for (int kap = 0; kap < NDIM; kap++) {
Xl[kap] = X[kap];
}
Xh[mu] += DELTA;
Xl[mu] -= DELTA;
gcov_func(Xh, gh);
gcov_func(Xl, gl);
for (int lam = 0; lam < NDIM; lam++) {
for (int nu = 0; nu < NDIM; nu++) {
G->conn[lam][nu][mu][j][i] = (gh[lam][nu] - gl[lam][nu])/(Xh[mu] -
Xl[mu]);
}
}
}
// Rearrange to find \Gamma_{lam nu mu}
for (int lam = 0; lam < NDIM; lam++) {
for (int nu = 0; nu < NDIM; nu++) {
for (int mu = 0; mu < NDIM; mu++) {
tmp[lam][nu][mu] = 0.5 * (G->conn[nu][lam][mu][j][i] +
G->conn[mu][lam][nu][j][i] -
G->conn[mu][nu][lam][j][i]);
}
}
}
// now mu nu kap
// Raise index to get \Gamma^lam_{nu mu}
for (int lam = 0; lam < NDIM; lam++) {
for (int nu = 0; nu < NDIM; nu++) {
for (int mu = 0; mu < NDIM; mu++) {
G->conn[lam][nu][mu][j][i] = 0.;
for (int kap = 0; kap < NDIM; kap++)
G->conn[lam][nu][mu][j][i] += G->gcon[CENT][lam][kap][j][i]*
tmp[kap][nu][mu];
}
}
}
}
// Lower a contravariant rank-1 tensor to a covariant one
inline void lower_grid(GridVector vcon, GridVector vcov, struct GridGeom *G, int i,
int j, int loc)
{
for (int mu = 0; mu < NDIM; mu++) {
vcov[mu][j][i] = 0.;
for (int nu = 0; nu < NDIM; nu++) {
vcov[mu][j][i] += G->gcov[loc][mu][nu][j][i]*vcon[nu][j][i];
}
}
}
// Lower the grid of contravariant rank-1 tensors to covariant ones
void lower_grid_vec(GridVector vcon, GridVector vcov, struct GridGeom *G, int jstart, int jstop, int istart, int istop, int loc)
{
#pragma omp parallel for simd collapse(3)
DLOOP1 {
ZSLOOP(jstart, jstop, istart, istop) vcov[mu][j][i] = 0.;
}
#pragma omp parallel for simd collapse(4)
DLOOP2 {
ZSLOOP(jstart, jstop, istart, istop) vcov[mu][j][i] += G->gcov[loc][mu][nu][j][i]*vcon[nu][j][i];
}
}
inline void raise_grid(GridVector vcov, GridVector vcon, struct GridGeom *G, int i, int j, int loc)
{
for (int mu = 0; mu < NDIM; mu++) {
vcon[mu][j][i] = 0.;
for (int nu = 0; nu < NDIM; nu++) {
vcon[mu][j][i] += G->gcon[loc][mu][nu][j][i]*vcov[nu][j][i];
}
}
}
// Take dot product of a contravariant and covariant rank-1 tensor
inline double dot(double vcon[NDIM], double vcov[NDIM])
{
double dot = 0.;
for (int mu = 0; mu < NDIM; mu++) {
dot += vcon[mu]*vcov[mu];
}
return dot;
}
// Minor of a 4x4 matrix
inline double MINOR(double m[16], int r0, int r1, int r2, int c0, int c1, int c2)
{
return m[4*r0+c0]*(m[4*r1+c1]*m[4*r2+c2] - m[4*r2+c1]*m[4*r1+c2]) -
m[4*r0+c1]*(m[4*r1+c0]*m[4*r2+c2] - m[4*r2+c0]*m[4*r1+c2]) +
m[4*r0+c2]*(m[4*r1+c0]*m[4*r2+c1] - m[4*r2+c0]*m[4*r1+c1]);
}
inline void adjoint(double m[16], double adjOut[16])
{
adjOut[ 0] = MINOR(m,1,2,3,1,2,3);
adjOut[ 1] = -MINOR(m,0,2,3,1,2,3);
adjOut[ 2] = MINOR(m,0,1,3,1,2,3);
adjOut[ 3] = -MINOR(m,0,1,2,1,2,3);
adjOut[ 4] = -MINOR(m,1,2,3,0,2,3);
adjOut[ 5] = MINOR(m,0,2,3,0,2,3);
adjOut[ 6] = -MINOR(m,0,1,3,0,2,3);
adjOut[ 7] = MINOR(m,0,1,2,0,2,3);
adjOut[ 8] = MINOR(m,1,2,3,0,1,3);
adjOut[ 9] = -MINOR(m,0,2,3,0,1,3);
adjOut[10] = MINOR(m,0,1,3,0,1,3);
adjOut[11] = -MINOR(m,0,1,2,0,1,3);
adjOut[12] = -MINOR(m,1,2,3,0,1,2);
adjOut[13] = MINOR(m,0,2,3,0,1,2);
adjOut[14] = -MINOR(m,0,1,3,0,1,2);
adjOut[15] = MINOR(m,0,1,2,0,1,2);
}
// Computes determinant of 4x4 tensor
inline double determinant(double m[16])
{
return m[0]*MINOR(m,1,2,3,1,2,3) -
m[1]*MINOR(m,1,2,3,0,2,3) +
m[2]*MINOR(m,1,2,3,0,1,3) -
m[3]*MINOR(m,1,2,3,0,1,2);
}
// Computes inverse of a 4x4 matrix
inline double invert(double *m, double *invOut)
{
adjoint(m, invOut);
double det = determinant(m);
double inv_det = 1. / det;
for (int i = 0; i < 16; ++i) {
invOut[i] = invOut[i]*inv_det;
}
return det;
}
|
6708.c | /* POLYBENCH/GPU-OPENMP
*
* This file is a part of the Polybench/GPU-OpenMP suite
*
* Contact:
* William Killian <killian@udel.edu>
*
* Copyright 2013, The University of Delaware
*/
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <math.h>
/* Include polybench common header. */
#include <polybench.h>
/* Include benchmark-specific header. */
/* Default data type is double, default size is 4000. */
#include "3mm.h"
/* Array initialization. */
static
void init_array(int ni, int nj, int nk, int nl, int nm,
DATA_TYPE POLYBENCH_2D(A,NI,NK,ni,nk),
DATA_TYPE POLYBENCH_2D(B,NK,NJ,nk,nj),
DATA_TYPE POLYBENCH_2D(C,NJ,NM,nj,nm),
DATA_TYPE POLYBENCH_2D(D,NM,NL,nm,nl))
{
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nk; j++)
A[i][j] = ((DATA_TYPE) i*j) / ni;
for (i = 0; i < nk; i++)
for (j = 0; j < nj; j++)
B[i][j] = ((DATA_TYPE) i*(j+1)) / nj;
for (i = 0; i < nj; i++)
for (j = 0; j < nm; j++)
C[i][j] = ((DATA_TYPE) i*(j+3)) / nl;
for (i = 0; i < nm; i++)
for (j = 0; j < nl; j++)
D[i][j] = ((DATA_TYPE) i*(j+2)) / nk;
}
/* DCE code. Must scan the entire live-out data.
Can be used also to check the correctness of the output. */
static
void print_array(int ni, int nl,
DATA_TYPE POLYBENCH_2D(G,NI,NL,ni,nl))
{
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nl; j++) {
fprintf (stderr, DATA_PRINTF_MODIFIER, G[i][j]);
if ((i * ni + j) % 20 == 0) fprintf (stderr, "\n");
}
fprintf (stderr, "\n");
}
/* Main computational kernel. The whole function will be timed,
including the call and return. */
static
void kernel_3mm(int ni, int nj, int nk, int nl, int nm,
DATA_TYPE POLYBENCH_2D(E,NI,NJ,ni,nj),
DATA_TYPE POLYBENCH_2D(A,NI,NK,ni,nk),
DATA_TYPE POLYBENCH_2D(B,NK,NJ,nk,nj),
DATA_TYPE POLYBENCH_2D(F,NJ,NL,nj,nl),
DATA_TYPE POLYBENCH_2D(C,NJ,NM,nj,nm),
DATA_TYPE POLYBENCH_2D(D,NM,NL,nm,nl),
DATA_TYPE POLYBENCH_2D(G,NI,NL,ni,nl))
{
int i, j, k;
#pragma scop
#pragma omp parallel private (i, j, k) num_threads(#P11)
{
/* E := A*B */
#pragma omp target teams distribute
for (i = 0; i < _PB_NI; i++)
{
for (j = 0; j < _PB_NJ; j++)
{
E[i][j] = 0;
for (k = 0; k < _PB_NK; ++k)
E[i][j] += A[i][k] * B[k][j];
}
}
/* F := C*D */
#pragma omp target teams distribute
for (i = 0; i < _PB_NJ; i++)
{
for (j = 0; j < _PB_NL; j++)
{
F[i][j] = 0;
for (k = 0; k < _PB_NM; ++k)
F[i][j] += C[i][k] * D[k][j];
}
}
/* G := E*F */
#pragma omp target teams distribute
for (i = 0; i < _PB_NI; i++)
{
for (j = 0; j < _PB_NL; j++)
{
G[i][j] = 0;
for (k = 0; k < _PB_NJ; ++k)
G[i][j] += E[i][k] * F[k][j];
}
}
}
#pragma endscop
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int ni = NI;
int nj = NJ;
int nk = NK;
int nl = NL;
int nm = NM;
/* Variable declaration/allocation. */
POLYBENCH_2D_ARRAY_DECL(E, DATA_TYPE, NI, NJ, ni, nj);
POLYBENCH_2D_ARRAY_DECL(A, DATA_TYPE, NI, NK, ni, nk);
POLYBENCH_2D_ARRAY_DECL(B, DATA_TYPE, NK, NJ, nk, nj);
POLYBENCH_2D_ARRAY_DECL(F, DATA_TYPE, NJ, NL, nj, nl);
POLYBENCH_2D_ARRAY_DECL(C, DATA_TYPE, NJ, NM, nj, nm);
POLYBENCH_2D_ARRAY_DECL(D, DATA_TYPE, NM, NL, nm, nl);
POLYBENCH_2D_ARRAY_DECL(G, DATA_TYPE, NI, NL, ni, nl);
/* Initialize array(s). */
init_array (ni, nj, nk, nl, nm,
POLYBENCH_ARRAY(A),
POLYBENCH_ARRAY(B),
POLYBENCH_ARRAY(C),
POLYBENCH_ARRAY(D));
/* Start timer. */
polybench_start_instruments;
/* Run kernel. */
kernel_3mm (ni, nj, nk, nl, nm,
POLYBENCH_ARRAY(E),
POLYBENCH_ARRAY(A),
POLYBENCH_ARRAY(B),
POLYBENCH_ARRAY(F),
POLYBENCH_ARRAY(C),
POLYBENCH_ARRAY(D),
POLYBENCH_ARRAY(G));
/* Stop and print timer. */
polybench_stop_instruments;
polybench_print_instruments;
/* Prevent dead-code elimination. All live-out data must be printed
by the function call in argument. */
polybench_prevent_dce(print_array(ni, nl, POLYBENCH_ARRAY(G)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(E);
POLYBENCH_FREE_ARRAY(A);
POLYBENCH_FREE_ARRAY(B);
POLYBENCH_FREE_ARRAY(F);
POLYBENCH_FREE_ARRAY(C);
POLYBENCH_FREE_ARRAY(D);
POLYBENCH_FREE_ARRAY(G);
return 0;
}
|
rhs.c | //-------------------------------------------------------------------------//
// //
// This benchmark is a serial C version of the NPB SP 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 <math.h>
#include "header.h"
void compute_rhs()
{
int i, j, k, m;
double aux, rho_inv, uijk, up1, um1, vijk, vp1, vm1, wijk, wp1, wm1;
int gp0, gp1, gp2;
gp0 = grid_points[0];
gp1 = grid_points[1];
gp2 = grid_points[2];
//---------------------------------------------------------------------
// compute the reciprocal of density, and the kinetic energy,
// and the speed of sound.
//---------------------------------------------------------------------
//#pragma omp target //present(rho_i,u,qs,square,speed,rhs,forcing,us,vs,ws)
//{
/*get the value of rho_i,qs,square,us,vs,ws,speed*/
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(rho_inv,aux,i,j,k) collapse(2)
#else
#pragma omp target teams distribute parallel for simd private(rho_inv,aux) collapse(3)
#endif
for (k = 0; k <= gp2-1; k++) {
for (j = 0; j <= gp1-1; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd private(rho_inv,aux)
#endif
for (i = 0; i <= gp0-1; i++) {
rho_inv = 1.0/u[0][k][j][i];
rho_i[k][j][i] = rho_inv;
us[k][j][i] = u[1][k][j][i] * rho_inv;
vs[k][j][i] = u[2][k][j][i] * rho_inv;
ws[k][j][i] = u[3][k][j][i] * rho_inv;
square[k][j][i] = 0.5* (
u[1][k][j][i]*u[1][k][j][i] +
u[2][k][j][i]*u[2][k][j][i] +
u[3][k][j][i]*u[3][k][j][i] ) * rho_inv;
qs[k][j][i] = square[k][j][i] * rho_inv;
//-------------------------------------------------------------------
// (don't need speed and ainx until the lhs computation)
//-------------------------------------------------------------------
aux = c1c2*rho_inv* (u[4][k][j][i] - square[k][j][i]);
speed[k][j][i] = sqrt(aux);
}
}
}
//---------------------------------------------------------------------
// copy the exact forcing term to the right hand side; because
// this forcing term is known, we can store it on the whole grid
// including the boundary
//---------------------------------------------------------------------
#pragma omp target teams distribute parallel for private(i,j,k,m) collapse(2)
for (k = 0; k <= gp2-1; k++) {
for (j = 0; j <= gp1-1; j++) {
for (i = 0; i <= gp0-1; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = forcing[m][k][j][i];
}
}
}
}
//---------------------------------------------------------------------
// compute xi-direction fluxes
//---------------------------------------------------------------------
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(i,j,k,uijk,up1,um1) collapse(2)
#else
#pragma omp target teams distribute parallel for simd private(uijk,up1,um1) collapse(3)
#endif
for (k = 1; k <= nz2; k++) {
for (j = 1; j <= ny2; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd private(uijk,up1,um1)
#endif
for (i = 1; i <= nx2; i++) {
uijk = us[k][j][i];
up1 = us[k][j][i+1];
um1 = us[k][j][i-1];
rhs[0][k][j][i] = rhs[0][k][j][i] + dx1tx1 *
(u[0][k][j][i+1] - 2.0*u[0][k][j][i] + u[0][k][j][i-1]) -
tx2 * (u[1][k][j][i+1] - u[1][k][j][i-1]);
rhs[1][k][j][i] = rhs[1][k][j][i] + dx2tx1 *
(u[1][k][j][i+1] - 2.0*u[1][k][j][i] + u[1][k][j][i-1]) +
xxcon2*con43 * (up1 - 2.0*uijk + um1) -
tx2 * (u[1][k][j][i+1]*up1 - u[1][k][j][i-1]*um1 +
(u[4][k][j][i+1] - square[k][j][i+1] -
u[4][k][j][i-1] + square[k][j][i-1]) * c2);
rhs[2][k][j][i] = rhs[2][k][j][i] + dx3tx1 *
(u[2][k][j][i+1] - 2.0*u[2][k][j][i] + u[2][k][j][i-1]) +
xxcon2 * (vs[k][j][i+1] - 2.0*vs[k][j][i] + vs[k][j][i-1]) -
tx2 * (u[2][k][j][i+1]*up1 - u[2][k][j][i-1]*um1);
rhs[3][k][j][i] = rhs[3][k][j][i] + dx4tx1 *
(u[3][k][j][i+1] - 2.0*u[3][k][j][i] + u[3][k][j][i-1]) +
xxcon2 * (ws[k][j][i+1] - 2.0*ws[k][j][i] + ws[k][j][i-1]) -
tx2 * (u[3][k][j][i+1]*up1 - u[3][k][j][i-1]*um1);
rhs[4][k][j][i] = rhs[4][k][j][i] + dx5tx1 *
(u[4][k][j][i+1] - 2.0*u[4][k][j][i] + u[4][k][j][i-1]) +
xxcon3 * (qs[k][j][i+1] - 2.0*qs[k][j][i] + qs[k][j][i-1]) +
xxcon4 * (up1*up1 - 2.0*uijk*uijk + um1*um1) +
xxcon5 * (u[4][k][j][i+1]*rho_i[k][j][i+1] -
2.0*u[4][k][j][i]*rho_i[k][j][i] +
u[4][k][j][i-1]*rho_i[k][j][i-1]) -
tx2 * ( (c1*u[4][k][j][i+1] - c2*square[k][j][i+1])*up1 -
(c1*u[4][k][j][i-1] - c2*square[k][j][i-1])*um1 );
}
}
} /*end k*/
//---------------------------------------------------------------------
// add fourth order xi-direction dissipation
//---------------------------------------------------------------------
i = 1;
#pragma omp target teams distribute parallel for private(j,k,m) collapse(3)
for (k = 1; k <= nz2; k++){
for (j = 1; j <= ny2; j++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i]- dssp *
(5.0*u[m][k][j][i] - 4.0*u[m][k][j][i+1] + u[m][k][j][i+2]);
}
}
}
i = 2;
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(j,k,m) collapse(2)
#else
#pragma omp target teams distribute parallel for simd collapse(3)
#endif
for (m = 0; m < 5; m++) {
for (k = 1; k <= nz2; k++){
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd
#endif
for (j = 1; j <= ny2; j++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
(-4.0*u[m][k][j][i-1] + 6.0*u[m][k][j][i] -
4.0*u[m][k][j][i+1] + u[m][k][j][i+2]);
}
}
}
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(i,j,k,m) collapse(2)
#else
#pragma omp target teams distribute parallel for simd collapse(4)
#endif
for (k = 1; k <= nz2; k++){
for (j = 1; j <= ny2; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd
#endif
for (i = 3; i <= nx2-2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k][j][i-2] - 4.0*u[m][k][j][i-1] +
6.0*u[m][k][j][i] - 4.0*u[m][k][j][i+1] +
u[m][k][j][i+2] );
}
}
}
}
i = nx2-1;
#pragma omp target teams distribute parallel for private(j,k,m)
for (k = 1; k <= nz2; k++){
for (j = 1; j <= ny2; j++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k][j][i-2] - 4.0*u[m][k][j][i-1] +
6.0*u[m][k][j][i] - 4.0*u[m][k][j][i+1] );
}
}
}
i = nx2;
#pragma omp target teams distribute parallel for private(j,k,m)
for (k = 1; k <= nz2; k++){
for (j = 1; j <= ny2; j++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k][j][i-2] - 4.0*u[m][k][j][i-1] + 5.0*u[m][k][j][i] );
}
}
}
//---------------------------------------------------------------------
// compute eta-direction fluxes
//---------------------------------------------------------------------
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(vijk,vp1,vm1,i,j,k) collapse(2)
#else
#pragma omp target teams distribute parallel for simd private(vijk,vp1,vm1) collapse(3)
#endif
for (k = 1; k <= nz2; k++) {
for (j = 1; j <= ny2; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd private(vijk,vp1,vm1)
#endif
for (i = 1; i <= nx2; i++) {
vijk = vs[k][j][i];
vp1 = vs[k][j+1][i];
vm1 = vs[k][j-1][i];
rhs[0][k][j][i] = rhs[0][k][j][i] + dy1ty1 *
(u[0][k][j+1][i] - 2.0*u[0][k][j][i] + u[0][k][j-1][i]) -
ty2 * (u[2][k][j+1][i] - u[2][k][j-1][i]);
rhs[1][k][j][i] = rhs[1][k][j][i] + dy2ty1 *
(u[1][k][j+1][i] - 2.0*u[1][k][j][i] + u[1][k][j-1][i]) +
yycon2 * (us[k][j+1][i] - 2.0*us[k][j][i] + us[k][j-1][i]) -
ty2 * (u[1][k][j+1][i]*vp1 - u[1][k][j-1][i]*vm1);
rhs[2][k][j][i] = rhs[2][k][j][i] + dy3ty1 *
(u[2][k][j+1][i] - 2.0*u[2][k][j][i] + u[2][k][j-1][i]) +
yycon2*con43 * (vp1 - 2.0*vijk + vm1) -
ty2 * (u[2][k][j+1][i]*vp1 - u[2][k][j-1][i]*vm1 +
(u[4][k][j+1][i] - square[k][j+1][i] -
u[4][k][j-1][i] + square[k][j-1][i]) * c2);
rhs[3][k][j][i] = rhs[3][k][j][i] + dy4ty1 *
(u[3][k][j+1][i] - 2.0*u[3][k][j][i] + u[3][k][j-1][i]) +
yycon2 * (ws[k][j+1][i] - 2.0*ws[k][j][i] + ws[k][j-1][i]) -
ty2 * (u[3][k][j+1][i]*vp1 - u[3][k][j-1][i]*vm1);
rhs[4][k][j][i] = rhs[4][k][j][i] + dy5ty1 *
(u[4][k][j+1][i] - 2.0*u[4][k][j][i] + u[4][k][j-1][i]) +
yycon3 * (qs[k][j+1][i] - 2.0*qs[k][j][i] + qs[k][j-1][i]) +
yycon4 * (vp1*vp1 - 2.0*vijk*vijk + vm1*vm1) +
yycon5 * (u[4][k][j+1][i]*rho_i[k][j+1][i] -
2.0*u[4][k][j][i]*rho_i[k][j][i] +
u[4][k][j-1][i]*rho_i[k][j-1][i]) -
ty2 * ((c1*u[4][k][j+1][i] - c2*square[k][j+1][i]) * vp1 -
(c1*u[4][k][j-1][i] - c2*square[k][j-1][i]) * vm1);
}
}
}
//---------------------------------------------------------------------
// add fourth order eta-direction dissipation
//---------------------------------------------------------------------
j = 1;
#pragma omp target teams distribute parallel for private(i,k,m) collapse(3)
for (k = 1; k <= nz2; k++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i]- dssp *
( 5.0*u[m][k][j][i] - 4.0*u[m][k][j+1][i] + u[m][k][j+2][i]);
}
}
}
j = 2;
#pragma omp target teams distribute parallel for private(i,k,m) collapse(3)
for (k = 1; k <= nz2; k++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
(-4.0*u[m][k][j-1][i] + 6.0*u[m][k][j][i] -
4.0*u[m][k][j+1][i] + u[m][k][j+2][i]);
}
}
}
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(i,j,k,m) collapse(2)
#else
#pragma omp target teams distribute parallel for simd collapse(4)
#endif
for (k = 1; k <= nz2; k++) {
for (j = 3; j <= ny2-2; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd
#endif
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k][j-2][i] - 4.0*u[m][k][j-1][i] +
6.0*u[m][k][j][i] - 4.0*u[m][k][j+1][i] +
u[m][k][j+2][i] );
}
}
}
}
j = ny2-1;
#pragma omp target teams distribute parallel for private(i,k,m) collapse(3)
for (k = 1; k <= nz2; k++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k][j-2][i] - 4.0*u[m][k][j-1][i] +
6.0*u[m][k][j][i] - 4.0*u[m][k][j+1][i] );
}
}
}
j = ny2;
#pragma omp target teams distribute parallel for private(i,k,m) collapse(3)
for (k = 1; k <= nz2; k++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k][j-2][i] - 4.0*u[m][k][j-1][i] + 5.0*u[m][k][j][i] );
}
}
}
//---------------------------------------------------------------------
// compute zeta-direction fluxes
//---------------------------------------------------------------------
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(i,j,k,wijk,wp1,wm1) collapse(2)
#else
#pragma omp target teams distribute parallel for simd private(wijk,wp1,wm1) collapse(3)
#endif
for (k = 1; k <= nz2; k++) {
for (j = 1; j <= ny2; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd private(wijk,wp1,wm1)
#endif
for (i = 1; i <= nx2; i++) {
wijk = ws[k][j][i];
wp1 = ws[k+1][j][i];
wm1 = ws[k-1][j][i];
rhs[0][k][j][i] = rhs[0][k][j][i] + dz1tz1 *
(u[0][k+1][j][i] - 2.0*u[0][k][j][i] + u[0][k-1][j][i]) -
tz2 * (u[3][k+1][j][i] - u[3][k-1][j][i]);
rhs[1][k][j][i] = rhs[1][k][j][i] + dz2tz1 *
(u[1][k+1][j][i] - 2.0*u[1][k][j][i] + u[1][k-1][j][i]) +
zzcon2 * (us[k+1][j][i] - 2.0*us[k][j][i] + us[k-1][j][i]) -
tz2 * (u[1][k+1][j][i]*wp1 - u[1][k-1][j][i]*wm1);
rhs[2][k][j][i] = rhs[2][k][j][i] + dz3tz1 *
(u[2][k+1][j][i] - 2.0*u[2][k][j][i] + u[2][k-1][j][i]) +
zzcon2 * (vs[k+1][j][i] - 2.0*vs[k][j][i] + vs[k-1][j][i]) -
tz2 * (u[2][k+1][j][i]*wp1 - u[2][k-1][j][i]*wm1);
rhs[3][k][j][i] = rhs[3][k][j][i] + dz4tz1 *
(u[3][k+1][j][i] - 2.0*u[3][k][j][i] + u[3][k-1][j][i]) +
zzcon2*con43 * (wp1 - 2.0*wijk + wm1) -
tz2 * (u[3][k+1][j][i]*wp1 - u[3][k-1][j][i]*wm1 +
(u[4][k+1][j][i] - square[k+1][j][i] -
u[4][k-1][j][i] + square[k-1][j][i]) * c2);
rhs[4][k][j][i] = rhs[4][k][j][i] + dz5tz1 *
(u[4][k+1][j][i] - 2.0*u[4][k][j][i] + u[4][k-1][j][i]) +
zzcon3 * (qs[k+1][j][i] - 2.0*qs[k][j][i] + qs[k-1][j][i]) +
zzcon4 * (wp1*wp1 - 2.0*wijk*wijk + wm1*wm1) +
zzcon5 * (u[4][k+1][j][i]*rho_i[k+1][j][i] -
2.0*u[4][k][j][i]*rho_i[k][j][i] +
u[4][k-1][j][i]*rho_i[k-1][j][i]) -
tz2 * ((c1*u[4][k+1][j][i] - c2*square[k+1][j][i])*wp1 -
(c1*u[4][k-1][j][i] - c2*square[k-1][j][i])*wm1);
}
}
}
//---------------------------------------------------------------------
// add fourth order zeta-direction dissipation
//---------------------------------------------------------------------
k = 1;
#pragma omp target teams distribute parallel for private(i,j,m) collapse(3)
for (j = 1; j <= ny2; j++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i]- dssp *
(5.0*u[m][k][j][i] - 4.0*u[m][k+1][j][i] + u[m][k+2][j][i]);
}
}
}
k = 2;
#pragma omp target teams distribute parallel for private(i,j,m) collapse(3)
for (j = 1; j <= ny2; j++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
(-4.0*u[m][k-1][j][i] + 6.0*u[m][k][j][i] -
4.0*u[m][k+1][j][i] + u[m][k+2][j][i]);
}
}
}
#ifdef SPEC_USE_INNER_SIMD
#pragma omp target teams distribute parallel for private(i,j,k,m) collapse(2)
#else
#pragma omp target teams distribute parallel for simd collapse(4)
#endif
for (k = 3; k <= nz2-2; k++) {
for (j = 1; j <= ny2; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd
#endif
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k-2][j][i] - 4.0*u[m][k-1][j][i] +
6.0*u[m][k][j][i] - 4.0*u[m][k+1][j][i] +
u[m][k+2][j][i] );
}
}
}
}
k = nz2-1;
#pragma omp target teams distribute parallel for private(i,j,m) collapse(3)
for (j = 1; j <= ny2; j++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k-2][j][i] - 4.0*u[m][k-1][j][i] +
6.0*u[m][k][j][i] - 4.0*u[m][k+1][j][i] );
}
}
}
k = nz2;
#pragma omp target teams distribute parallel for private(i,j,m) collapse(3)
for (j = 1; j <= ny2; j++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] - dssp *
( u[m][k-2][j][i] - 4.0*u[m][k-1][j][i] + 5.0*u[m][k][j][i] );
}
}
}
#pragma omp target teams distribute parallel for private(i,j,k,m) collapse(3)
for (k = 1; k <= nz2; k++) {
for (j = 1; j <= ny2; j++) {
for (i = 1; i <= nx2; i++) {
for (m = 0; m < 5; m++) {
rhs[m][k][j][i] = rhs[m][k][j][i] * dt;
}
}
}
}
//}/* end omp target data*/
}
|
prepress.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% PPPP RRRR EEEEE PPPP RRRR EEEEE SSSSS SSSSS %
% P P R R E P P R R E SS SS %
% PPPP RRRR EEE PPPP RRRR EEE SSS SSS %
% P R R E P R R E SS SS %
% P R R EEEEE P R R EEEEE SSSSS SSSSS %
% %
% %
% MagickCore Prepress Methods %
% %
% Software Design %
% John Cristy %
% October 2001 %
% %
% %
% Copyright 1999-2011 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/cache-view.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/hashmap.h"
#include "magick/image.h"
#include "magick/list.h"
#include "magick/memory_.h"
#include "magick/prepress.h"
#include "magick/registry.h"
#include "magick/semaphore.h"
#include "magick/splay-tree.h"
#include "magick/string_.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e T o t a l I n k D e n s i t y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageTotalInkDensity() returns the total ink density for a CMYK image.
% Total Ink Density (TID) is determined by adding the CMYK values in the
% darkest shadow area in an image.
%
% The format of the GetImageTotalInkDensity method is:
%
% double GetImageTotalInkDensity(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport double GetImageTotalInkDensity(Image *image)
{
CacheView
*image_view;
double
total_ink_density;
ExceptionInfo
*exception;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickSignature);
if (image->colorspace != CMYKColorspace)
{
(void) ThrowMagickException(&image->exception,GetMagickModule(),
ImageError,"ColorSeparatedImageRequired","`%s'",image->filename);
return(0.0);
}
status=MagickTrue;
total_ink_density=0.0;
exception=(&image->exception);
image_view=AcquireCacheView(image);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic,4) shared(status)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
density;
register const IndexPacket
*indexes;
register const PixelPacket
*p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
density=(double) GetPixelRed(p)+GetPixelGreen(p)+
GetPixelBlue(p)+GetPixelIndex(indexes+x);
if (density > total_ink_density)
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetImageTotalInkDensity)
#endif
{
if (density > total_ink_density)
total_ink_density=density;
}
p++;
}
}
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
total_ink_density=0.0;
return(total_ink_density);
}
|
pi_par.c | /*
This program will numerically compute the integral of
4/(1+x*x)
from 0 to 1. The value of this integral is pi -- which
is great since it gives us an easy way to check the answer.
The program was parallelized using OpenMP by adding just
four lines
(1) A line to include omp.h -- the include file that
contains OpenMP's function prototypes and constants.
(2) A pragma that tells OpenMP to create a team of threads
(3) A pragma to cause one of the threads to print the
number of threads being used by the program.
(4) A pragma to split up loop iterations among the team
of threads. This pragma includes 2 clauses to (1) create a
private variable and (2) to cause the threads to compute their
sums locally and then combine their local sums into a
single global value.
History: Written by Tim Mattson, 11/99.
#---------------------------------------------------------------
Modified by JGG to use threads equal to the number of processors.
SoC 2015.
#-----------------------------------------------------------------
*/
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
static long num_steps = 100000000;
double step;
int main (int argc, char ** argv)
{
int i, nprocs;
double x, pi, sum = 0.0;
double start_time, run_time;
long number_of_steps = argc >=3 && atol(argv[2]) > 0 ? atol(argv[2]) : num_steps;
step = 1.0/(double) number_of_steps;
/* Use double of system processors (threads) if there's no positional argument */
nprocs = argc >=2 && atol(argv[1]) > 0 ? atol(argv[1]) : 2*omp_get_num_procs();
/*Computes pi for each number of threads*/
for (i=1;i<=nprocs;i+=10){
sum = 0.0;
omp_set_num_threads(i);
start_time = omp_get_wtime();
#pragma omp parallel
{
#pragma omp single
printf(" num_threads = %d",omp_get_num_threads());
#pragma omp for reduction(+:sum) private(x)
for (i=1;i<= number_of_steps; i++){
x = (i-0.5)*step;
sum = sum + 4.0/(1.0+x*x);
}
}
pi = step * sum;
run_time = omp_get_wtime() - start_time;
printf("\n pi is %f in %f seconds and %d threads\n",pi,run_time,i);
if(argc>1)
printf("Threads: %d Seconds: %f \n", i, run_time);
}
}
|
GB_unop__frexpx_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef 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__frexpx_fp64_fp64)
// op(A') function: GB (_unop_tran__frexpx_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = GB_frexpx (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_frexpx (x) ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = GB_frexpx (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_FREXPX || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__frexpx_fp64_fp64)
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = GB_frexpx (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
double aij = Ax [p] ;
double z = aij ;
Cx [p] = GB_frexpx (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__frexpx_fp64_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
has160_fmt_plug.c | /* HAS160-512 cracker patch for JtR. Hacked together during May, 2015
* by Dhiru Kholia <dhiru.kholia at gmail.com>.
*
* Thanks for RHash, http://www.randombit.net/has160.html and
* https://github.com/maciejczyzewski/retter for the code.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt__HAS160;
#elif FMT_REGISTERS_H
john_register_one(&fmt__HAS160);
#else
#include <string.h>
#include "arch.h"
#include "params.h"
#include "common.h"
#include "formats.h"
#include "options.h"
#include "has160.h"
#if !FAST_FORMATS_OMP
#undef _OPENMP
#endif
#ifdef _OPENMP
#ifndef OMP_SCALE
#ifdef __MIC__
#define OMP_SCALE 64
#else
#define OMP_SCALE 2048
#endif // __MIC__
#endif // OMP_SCALE
#include <omp.h>
#endif // _OPENMP
#include "memdbg.h"
#define FORMAT_LABEL "has-160"
#define FORMAT_NAME ""
#define ALGORITHM_NAME "HAS-160 32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define PLAINTEXT_LENGTH 125
#define CIPHERTEXT_LENGTH 40
#define BINARY_SIZE 20
#define SALT_SIZE 0
#define BINARY_ALIGN 4
#define SALT_ALIGN 1
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
static struct fmt_tests tests[] = {
{"307964ef34151d37c8047adec7ab50f4ff89762d", ""},
{"cb5d7efbca2f02e0fb7167cabb123af5795764e5", "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"},
{"4872bcbc4cd0f0a9dc7c2f7045e5b43b6c830db8", "a"},
{"975e810488cf2a3d49838478124afce4b1c78804", "abc"},
{"2338dbc8638d31225f73086246ba529f96710bc6", "message digest"},
{"596185c9ab6703d0d0dbb98702bc0f5729cd1d3c", "abcdefghijklmnopqrstuvwxyz"},
{"07f05c8c0773c55ca3a5a695ce6aca4c438911b5", "12345678901234567890123456789012345678901234567890123456789012345678901234567890"},
{NULL}
};
static int (*saved_len);
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static ARCH_WORD_32 (*crypt_out)[(BINARY_SIZE) / sizeof(ARCH_WORD_32)];
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
int omp_t;
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_len = mem_calloc(self->params.max_keys_per_crypt, sizeof(*saved_len));
saved_key = mem_calloc(self->params.max_keys_per_crypt, sizeof(*saved_key));
crypt_out = mem_calloc(self->params.max_keys_per_crypt, sizeof(*crypt_out));
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_key);
MEM_FREE(saved_len);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *p, *q;
p = ciphertext;
q = p;
while (atoi16l[ARCH_INDEX(*q)] != 0x7F)
q++;
return !*q && q - p == CIPHERTEXT_LENGTH;
}
static void *get_binary(char *ciphertext)
{
static unsigned char *out;
char *p;
int i;
if (!out) out = mem_alloc_tiny(BINARY_SIZE, MEM_ALIGN_WORD);
p = ciphertext;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) | atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static int get_hash_0(int index)
{
return crypt_out[index][0] & PH_MASK_0;
}
static int get_hash_1(int index)
{
return crypt_out[index][0] & PH_MASK_1;
}
static int get_hash_2(int index)
{
return crypt_out[index][0] & PH_MASK_2;
}
static int get_hash_3(int index)
{
return crypt_out[index][0] & PH_MASK_3;
}
static int get_hash_4(int index)
{
return crypt_out[index][0] & PH_MASK_4;
}
static int get_hash_5(int index)
{
return crypt_out[index][0] & PH_MASK_5;
}
static int get_hash_6(int index)
{
return crypt_out[index][0] & PH_MASK_6;
}
static void set_key(char *key, int index)
{
int len = strlen(key);
saved_len[index] = len;
if (len > PLAINTEXT_LENGTH)
len = saved_len[index] = PLAINTEXT_LENGTH;
saved_key[index][len] = 0;
memcpy(saved_key[index], key, len);
}
static char *get_key(int index)
{
saved_key[index][saved_len[index]] = 0;
return saved_key[index];
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (index = 0; index < count; index++)
{
has160_ctx ctx;
rhash_has160_init(&ctx);
rhash_has160_update(&ctx, (unsigned char*)saved_key[index], saved_len[index]);
rhash_has160_final(&ctx, (unsigned char*)crypt_out[index]);
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
for (; index < count; index++)
if (!memcmp(binary, crypt_out[index], ARCH_SIZE))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
struct fmt_main fmt__HAS160 = {
{
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,
#ifdef _OPENMP
FMT_OMP | FMT_OMP_BAD |
#endif
FMT_CASE | FMT_8_BIT,
{ NULL },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
fmt_default_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
fmt_default_salt_hash,
NULL,
fmt_default_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 */
|
command_line.h | // Copyright (c) 2015, The Regents of the University of California (Regents)
// See LICENSE.txt for license details
#ifndef COMMAND_LINE_H_
#define COMMAND_LINE_H_
#include <getopt.h>
#include <algorithm>
#include <cinttypes>
#include <iostream>
#include <string>
#include <type_traits>
#include <vector>
#include <omp.h>
/*
GAP Benchmark Suite
Class: CLBase
Author: Scott Beamer
Handles command line argument parsing
- Through inheritance, can add more options to object
- For example, most kernels will use CLApp
*/
class CLBase {
protected:
int argc_;
char** argv_;
std::string name_;
std::string get_args_ = "f:g:hk:su:";
std::vector<std::string> help_strings_;
int scale_ = -1;
int degree_ = 16;
std::string filename_ = "";
bool symmetrize_ = false;
bool uniform_ = false;
void AddHelpLine(char opt, std::string opt_arg, std::string text,
std::string def = "") {
const int kBufLen = 100;
char buf[kBufLen];
if (opt_arg != "")
opt_arg = "<" + opt_arg + ">";
if (def != "")
def = "[" + def + "]";
snprintf(buf, kBufLen, " -%c %-9s: %-54s%10s", opt, opt_arg.c_str(),
text.c_str(), def.c_str());
help_strings_.push_back(buf);
}
public:
CLBase(int argc, char** argv, std::string name = "") :
argc_(argc), argv_(argv), name_(name) {
AddHelpLine('h', "", "print this help message");
AddHelpLine('f', "file", "load graph from file");
AddHelpLine('s', "", "symmetrize input edge list", "false");
AddHelpLine('g', "scale", "generate 2^scale kronecker graph");
AddHelpLine('u', "scale", "generate 2^scale uniform-random graph");
AddHelpLine('k', "degree", "average degree for synthetic graph",
std::to_string(degree_));
}
bool ParseArgs() {
signed char c_opt;
extern char *optarg; // from and for getopt
while ((c_opt = getopt(argc_, argv_, get_args_.c_str())) != -1) {
HandleArg(c_opt, optarg);
}
if ((filename_ == "") && (scale_ == -1)) {
std::cout << "No graph input specified. (Use -h for help)" << std::endl;
return false;
}
if (scale_ != -1)
symmetrize_ = true;
return true;
}
void virtual HandleArg(signed char opt, char* opt_arg) {
switch (opt) {
case 'f': filename_ = std::string(opt_arg); break;
case 'g': scale_ = atoi(opt_arg); break;
case 'h': PrintUsage(); break;
case 'k': degree_ = atoi(opt_arg); break;
case 's': symmetrize_ = true; break;
case 'u': uniform_ = true; scale_ = atoi(opt_arg); break;
}
}
void PrintUsage() {
std::cout << name_ << std::endl;
// std::sort(help_strings_.begin(), help_strings_.end());
for (std::string h : help_strings_)
std::cout << h << std::endl;
std::exit(0);
}
int scale() const { return scale_; }
int degree() const { return degree_; }
std::string filename() const { return filename_; }
bool symmetrize() const { return symmetrize_; }
bool uniform() const { return uniform_; }
};
class CLApp : public CLBase {
protected:
bool do_analysis_ = false;
int num_trials_ = 16;
int64_t start_vertex_ = -1;
bool do_verify_ = false;
int gms_ = 0;
public:
CLApp(int argc, char** argv, std::string name) : CLBase(argc, argv, name) {
get_args_ += "an:r:v";
AddHelpLine('a', "", "output analysis of last run", "false");
AddHelpLine('n', "n", "number of trials", std::to_string(num_trials_));
//AddHelpLine('r', "node", "start from node r", "rand");
AddHelpLine('r', "gms", "0: use GMS, 1: use baseline, 2: use both");
AddHelpLine('v', "", "verify the output of each run", "false");
}
void HandleArg(signed char opt, char* opt_arg) override {
switch (opt) {
case 'a': do_analysis_ = true; break;
case 'n': num_trials_ = atoi(opt_arg); break;
//case 'r': start_vertex_ = atol(opt_arg); break;
case 'r': gms_ = atoi(opt_arg); break;
case 'v': do_verify_ = true; break;
default: CLBase::HandleArg(opt, opt_arg);
}
}
bool do_analysis() const { return do_analysis_; }
int num_trials() const { return num_trials_; }
int64_t start_vertex() const { return start_vertex_; }
bool do_verify() const { return do_verify_; }
};
class BenchCLApp : public CLApp
{
protected:
int num_omp_threads_ = 1;
public:
BenchCLApp(int argc, char** argv, std::string name) : CLApp(argc, argv, name)
{
get_args_ += "p:";
AddHelpLine('p', "p", "Optional number of OMP threads", std::to_string(num_omp_threads_));
}
void HandleArg(signed char opt, char* opt_arg) override
{
switch(opt)
{
case 'p' :
{
num_omp_threads_ = atoi(opt_arg);
#ifdef _OPENMP
omp_set_dynamic(0);
omp_set_num_threads(num_omp_threads_);
#pragma omp parallel
{
#pragma omp master
std::cout << "Using " << omp_get_num_threads() << " OMP threads" << std::endl;
}
#endif
#ifndef _OPENMP
std::cout << "OMP is disabled. Using 1 thread." << std::endl;
#endif
break;
}
default: CLApp::HandleArg(opt, opt_arg);
}
}
int num_omp_threads() const { return num_omp_threads_; }
};
class CLIterApp : public CLApp {
int num_iters_;
public:
CLIterApp(int argc, char** argv, std::string name, int num_iters) :
CLApp(argc, argv, name), num_iters_(num_iters) {
get_args_ += "i:";
AddHelpLine('i', "i", "perform i iterations", std::to_string(num_iters_));
}
void HandleArg(signed char opt, char* opt_arg) override {
switch (opt) {
case 'i': num_iters_ = atoi(opt_arg); break;
default: CLApp::HandleArg(opt, opt_arg);
}
}
int num_iters() const { return num_iters_; }
};
class CLPageRank : public CLApp {
int max_iters_;
double tolerance_;
public:
CLPageRank(int argc, char** argv, std::string name, double tolerance,
int max_iters) :
CLApp(argc, argv, name), max_iters_(max_iters), tolerance_(tolerance) {
get_args_ += "i:t:";
AddHelpLine('i', "i", "perform at most i iterations",
std::to_string(max_iters_));
AddHelpLine('t', "t", "use tolerance t", std::to_string(tolerance_));
}
void HandleArg(signed char opt, char* opt_arg) override {
switch (opt) {
case 'i': max_iters_ = atoi(opt_arg); break;
case 't': tolerance_ = std::stod(opt_arg); break;
default: CLApp::HandleArg(opt, opt_arg);
}
}
int max_iters() const { return max_iters_; }
double tolerance() const { return tolerance_; }
};
template<typename WeightT_ = int>
class CLDelta : public CLApp {
WeightT_ delta_ = 1;
public:
CLDelta(int argc, char** argv, std::string name) : CLApp(argc, argv, name) {
get_args_ += "d:";
AddHelpLine('d', "d", "delta parameter", std::to_string(delta_));
}
void HandleArg(signed char opt, char* opt_arg) override {
switch (opt) {
case 'd':
if (std::is_floating_point<WeightT_>::value)
delta_ = static_cast<WeightT_>(atof(opt_arg));
else
delta_ = static_cast<WeightT_>(atol(opt_arg));
break;
default: CLApp::HandleArg(opt, opt_arg);
}
}
WeightT_ delta() const { return delta_; }
};
class CLConvert : public CLBase {
std::string out_filename_ = "";
bool out_weighted_ = false;
bool out_el_ = false;
bool out_sg_ = false;
public:
CLConvert(int argc, char** argv, std::string name)
: CLBase(argc, argv, name) {
get_args_ += "e:b:w";
AddHelpLine('b', "file", "output serialized graph to file");
AddHelpLine('e', "file", "output edge list to file");
AddHelpLine('w', "file", "make output weighted");
}
void HandleArg(signed char opt, char* opt_arg) override {
switch (opt) {
case 'b': out_sg_ = true; out_filename_ = std::string(opt_arg); break;
case 'e': out_el_ = true; out_filename_ = std::string(opt_arg); break;
case 'w': out_weighted_ = true; break;
default: CLBase::HandleArg(opt, opt_arg);
}
}
std::string out_filename() const { return out_filename_; }
bool out_weighted() const { return out_weighted_; }
bool out_el() const { return out_el_; }
bool out_sg() const { return out_sg_; }
};
#endif // COMMAND_LINE_H_
|
merge_omp.c | #include <pthread.h>
#include <stdio.h>
#include <stdlib.h>
#define DEBUG 0
struct merge_data {
int i;
int j;
int *data;
};
void mergesort(void *data) {
struct merge_data *value = (struct merge_data*)data;
struct merge_data right_side;
struct merge_data left_side;
int i, j, k, middle, vector_len;
middle = (int) (value->i+value->j)/2;
vector_len = (value->j-value->i);
if (DEBUG) {
printf("ENTREI NO MERGE %d %d %d -- Meu vetor: ", value->i, value->j, middle);
for(i=0 ; i <= (value->j - value->i) ; i++) {
printf("%d ", value->data[i]);
}
printf("\n");
}
// omp_set_num_threads(2);
// printf(" vector_len = %d total_threads = %d\n", vector_len, omp_get_num_threads());
if(vector_len >= 1) {
/*Dividi o programa em duas seções. Cada seção explora a ordenação de metade do vetor. Dessa forma, temos duas threads trabalhando o tempo todo, cada uma em uma metade.*/
#pragma omp parallel sections
{
#pragma omp section
{
left_side.data = (int *) malloc(sizeof(int) * (middle - value->i + 1));
left_side.i = 0;
left_side.j = (middle - value->i);
/*Tentei paralelizar esses loops, porem pelo que encontrei (http://stackoverflow.com/questions/17575329/invalid-controlling-predicate-compiler-error-using-openmp)
o openmp não dá suporte a loops com mais de uma variavel de controle. Por isso comentei o uso dessas diretivas*/
// #pragma omp parallel for
for(i=value->i, j=0 ; i <=middle ; i++, j++) {
left_side.data[j] = value->data[i];
}
if (DEBUG) {
printf("VETOR left_side: ");
for(i=0 ; i < (middle - value->i + 1) ; i++) {
printf("%d ", left_side.data[i]);
}
printf("\n");
}
mergesort((void *)&left_side);
}
#pragma omp section
{
right_side.data = (int *) malloc(sizeof(int) * (value->j - middle));
right_side.i = 0;
right_side.j = (value->j - middle - 1);
// #pragma omp parallel for
for(i=middle+1, j=0 ; i <= value->j ; i++, j++) {
right_side.data[j] = value->data[i];
}
if (DEBUG) {
printf("VETOR right_side: ");
for(i=0 ; i < (value->j - middle) ; i++) {
printf("%d ", right_side.data[i]);
}
printf("\n\n");
}
mergesort((void *)&right_side);
}
}
} else {
left_side.data = (int *) malloc(sizeof(int) * (1));
left_side.data[0] = value->data[value->i];
left_side.i = value->i;
left_side.j = value->j;
right_side.data = (int *) malloc(sizeof(int) * (1));
right_side.data[0] = value->data[value->i];
right_side.i = value->i;
right_side.j = value->j;
}
// Junta as duas partes
i = j = 0;
//#pragma omp parallel for
for(k=value->i ; k<=value->j && (i<=right_side.j) && (j<=left_side.j) ; k++) {
// Decide se vai usar o left ou o right
if(right_side.data[i] < left_side.data[j]) {
value->data[k] = right_side.data[i++];
} else {
value->data[k] = left_side.data[j++];
}
}
// Adiciona o que sobrou no data
while((i<=right_side.j)) {
value->data[k++] = right_side.data[i++];
}
while((j<=left_side.j)) {
value->data[k++] = left_side.data[j++];
}
if (DEBUG) {
printf("VETOR PARCIALMENTE ORDENADO\n");
for(k=0 ; k<=value->j ; k++) {
printf ("%d ", value->data[k]);
}
printf("\n\n\n");
}
free(left_side.data);
free(right_side.data);
}
int * generate_randon_vector(int n) {
int i;
int * vector = (int *) malloc(sizeof(int) * n);
srand(time(NULL));
for(i=0 ; i<n ; i++) {
int x = rand();
vector[i] = x%(3*n);
}
return vector;
}
int main (int argc, char *argv[]) {
int i;
int rc;
int n;
struct merge_data struct_data;
n = 1280000;
// Precisei criar um vetor de tamanho 4000000 para verificar as threads executando pelo monitor do sistema.
int * data = generate_randon_vector(n);
/*
printf("VETOR Inicial\n");
for(i=0 ; i< n ; i++) {
printf("%d ", data[i]);
}
printf("\n\n");*/
struct_data.data = data;
struct_data.i = 0;
struct_data.j = n-1;
mergesort((void *)&struct_data);
/* printf("\n\nVETOR ORDENADO\n");
for(i=0 ; i< n ; i++) {
printf("%d ", data[i]);
}
printf("\n\n");
*/
// free(struct_data.data);
/* Last thing that main() should do */
//pthread_exit(NULL);
}
|
layer.h | // == mojo ====================================================================
//
// Copyright (c) gnawice@gnawice.com. All rights reserved.
// See LICENSE in root folder
//
// 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.
//
// ============================================================================
// layer.h: defines layers for neural network
// ==================================================================== mojo ==
#pragma once
#include <string>
#include <sstream>
#include <map>
#include "core_math.h"
#include "activation.h"
#include "mojo.h"
#include <sgx_trts.h> // sgx_read_rand
namespace mojo
{
#define bail(txt) { printf("ERROR : %s @ file: %s %d: line: function %s\n", txt, __FILE__, __LINE__, __FUNCTION__); throw;}
typedef struct
{
uint64_t pmatrix;
float * x;
int rows;
int cols;
int chans;
int size;
}enclave_matrix;
//----------------------------------------------------------------------------------------------------------
// B A S E L A Y E R
//
// all other layers derived from this
class base_layer
{
protected:
bool _has_weights;
bool _use_bias;
float _learning_factor;
int _thread_count;
public:
activation_function *p_act;
bool has_weights() {return _has_weights;}
bool use_bias() { return _use_bias; }
void set_learning_factor(float f=1.0f) {_learning_factor = 1.f;}
void set_threading(int thread_count) {_thread_count=thread_count; if(_thread_count<1) _thread_count=1;}
int pad_cols, pad_rows;
matrix node;
matrix bias; // this is something that maybe should be in the same class as the weights... but whatever. handled differently for different layers
std::string name;
// index of W matrix, index of connected layer
std::vector<std::pair<int,base_layer*>> forward_linked_layers;
virtual void accumulate_signal(const base_layer &top_node, const enclave_matrix &w, const int train =0) =0;
base_layer(const char* layer_name, int _w, int _h=1, int _c=1) : node(_w, _h, _c), p_act(NULL), name(layer_name), _has_weights(true), pad_cols(0), pad_rows(0), _learning_factor(1.f), _use_bias(false), _thread_count(1)
{
}
virtual void resize(int _w, int _h=1, int _c=1)
{
if (_w<1) _w = 1; if (_h<1) _h = 1; if (_c<1) _c = 1;
node =matrix(_w,_h,_c);
if (_use_bias) { bias = matrix(_w, _h, _c); bias.fill(0.); }
}
virtual ~base_layer(){if(p_act) delete p_act;}
virtual int fan_size() {return node.chans*node.rows*node.cols;}
virtual void activate_nodes()
{
if (p_act)
{
if(_use_bias)
//for (int c=0; c<node.chans; c++)
{
//const float b = bias.x[c];
//float *x= &node.x[c*node.chan_stride];
p_act->f(node.x,node.size(),bias.x);
}
else
p_act->f(node.x, node.size(), 0);
}
}
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
// printf("new connection: baselayer->%s\n", top.get_config_string());
top.forward_linked_layers.push_back(std::make_pair((int)weight_mat_index,this));
if (_has_weights)
{
int rows = node.cols*node.rows*node.chans;
int cols = top.node.cols*top.node.rows*top.node.chans;
//return new matrix(cols, rows, 1);
uint64_t pmatrix; uint64_t px; int size;
ocall_newmatrix(&pmatrix, &px, &size, cols, rows, 1);
// printf("address: %p %p\n", pmatrix, px);
enclave_matrix *ret = new enclave_matrix;
ret->pmatrix = pmatrix; ret->cols = cols; ret->rows = rows; ret->chans = 1; ret->x = (float *)px; ret->size = size;
return ret;
//return (matrix *)pmatrix;
}
else
{
// printf("new_connection _has_weights is false.\n");
enclave_matrix *ret = new enclave_matrix;
ret->pmatrix = NULL; ret->x = NULL; ret->size = 0; ret->cols = 0; ret->rows = 0;
return ret;
//return NULL;
}
}
//inline float f(float *in, int i, int size, float bias) {return p_act->f(in, i, size, bias);};
inline float df(float *in, int i, int size) { if (p_act) return p_act->df(in, i, size); else return 1.f; };
virtual std::string get_config_string() =0;
};
//----------------------------------------------------------------------------------------------------------
// I N P U T L A Y E R
//
// input layer class - can be 1D, 2D (c=1), or stacked 2D (c>1)
class input_layer : public base_layer
{
public:
input_layer(const char *layer_name, int _w, int _h=1, int _c=1) : base_layer(layer_name,_w,_h,_c) {p_act=new_activation_function("identity"); }
virtual ~input_layer(){}
virtual void activate_nodes() { /*node.reset_empty_chans(); */}
virtual void distribute_delta(base_layer &top, const matrix &w, const int train =1) {}
virtual void calculate_dw(const base_layer &top_layer, matrix &dw, const int train =1) {}
virtual void accumulate_signal(const base_layer &top_node, const enclave_matrix &w, const int train =0) {}
virtual std::string get_config_string()
{
std::string namelayer = "input ";
std::string cols = dtoa(node.cols);
std::string rows = dtoa(node.rows);
std::string chans = dtoa(node.chans);
std::string space = " ";
std::string cl = "\n";
std::string name = p_act->name;
/*char *str = new char[strlen(cols)+strlen(rows)+strlen(chans)+6+3+strlen(p_act->name)+1];
char *tmp = str;
strncpy(tmp, "input ", 6); tmp += 6;
strncpy(tmp, cols, strlen(cols)); tmp += strlen(cols);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, rows, strlen(rows)); tmp += strlen(rows);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, chans, strlen(chans)); tmp += strlen(chans);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, p_act->name, strlen(p_act->name)); tmp += strlen(p_act->name);
strncpy(tmp, "\n", 1); tmp += 1;*/
//std::string str="input "+int2str(node.cols)+" "+int2str(node.rows)+" "+int2str(node.chans)+ " "+p_act->name+"\n";
std::string str = namelayer + cols + space + rows + space + chans + space + name + cl;
return str;
}
};
//----------------------------------------------------------------------------------------------------------
// F U L L Y C O N N E C T E D
//
// fully connected layer
class fully_connected_layer : public base_layer
{
public:
fully_connected_layer(const char *layer_name, int _size, activation_function *p) : base_layer(layer_name, _size, 1, 1)
{
p_act = p; _use_bias = true;
bias = matrix(node.cols, node.rows, node.chans);
bias.fill(0.);
}//layer_type=fully_connected_type;}
virtual std::string get_config_string()
{
std::string layername = "fully_connected ";
std::string space = " ";
std::string cl = "\n";
std::string nodesize = dtoa(node.size());
std::string name = p_act->name;
/*char *str = new char[strlen("fully_connected ") + strlen(nodesize) + 1 + strlen(p_act->name) + 1];
char *tmp = str;
strncpy(tmp, "fully_connected ", strlen("fully_connected ")); tmp += strlen("fully_connected ");
strncpy(tmp, nodesize, strlen(nodesize)); tmp += strlen(nodesize);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, p_act->name, strlen(p_act->name)); tmp += strlen(p_act->name);
strncpy(tmp, "\n", 1); tmp += 1;*/
//std::string str="fully_connected "+int2str(node.size())+ " "+p_act->name+"\n";
std::string str = layername + nodesize + space + name + cl;
return str;
}
virtual void accumulate_signal( const base_layer &top, const enclave_matrix &w, const int train =0)
{
// doesn't care if shape is not 1D
// here weights are formated in matrix, top node in cols, bottom node along rows. (note that my top is opposite of traditional understanding)
// node += top.node.dot_1dx2d(w);
// printf(">>>>>> %d %d\n", w.rows, w.cols);
// printf("input: %f, weight: %f (%s)\n", top.node.x[0], w.x[0], get_config_string());
const int s = w.rows;
const int ts = top.node.size();
const int ts2 = top.node.cols*top.node.rows;
// this can be sped up a little with SSE.
if(top.node.chan_stride!=ts2)
{
//std::cout << "here: " << top.node.chan_stride << ","<< ts2 << ","<< top.node.chans << ":";
MOJO_THREAD_THIS_LOOP(_thread_count)
for (int j = 0; j < s; j++)
{
for (int i = 0; i < top.node.chans; i++)
{
node.x[j] += dot(top.node.x+top.node.chan_stride*i, w.x+j*w.cols+ts2*i, ts2);
//float *f=top.node.x+top.node.chan_stride*i;
//if(node.x[j]!=node.x[j])
if(node.x[j]!=node.x[j])
{
//std::cout << "stuff" << top.name << " " << name << " " << top.node.x[top.node.chan_stride*i] << " " << w.x[j*w.cols+ts2*i] << " | " ;
for (int k=0; k<top.node.size(); k++)
{
//std::cout << k<< ","<< top.node.x[k] <<",";
printf("%d, %d,", k, top.node.x[k]);
}
return;
//exit(1);
}
}
}
}
else
{
MOJO_THREAD_THIS_LOOP(_thread_count)
for (int j = 0; j < s; j++) node.x[j] += dot(top.node.x, w.x+j*w.cols, ts);
} //ww31
}
};
//----------------------------------------------------------------------------------------------------------
// M A X P O O L I N G
//
// may split to max and ave pool class derived from pooling layer.. but i never use ave pool anymore
class max_pooling_layer : public base_layer
{
protected:
int _pool_size;
int _stride;
// uses a map to connect pooled result to top layer
std::vector<int> _max_map;
public:
max_pooling_layer(const char *layer_name, int pool_size) : base_layer(layer_name, 1)
{
_stride = pool_size; _pool_size = pool_size; //layer_type=pool_type;
_has_weights = false;
}
max_pooling_layer(const char *layer_name, int pool_size, int stride ) : base_layer(layer_name, 1)
{
_stride= stride; _pool_size=pool_size; //layer_type=pool_type;
_has_weights = false;
}
virtual ~max_pooling_layer(){}
virtual std::string get_config_string()
{
std::string poolsize = dtoa(_pool_size);
std::string stride = dtoa(_stride);
std::string namelayer = "max_pool ";
std::string space = " ";
std::string cl = "\n";
std::string str = namelayer + poolsize + space + stride + cl;
/*char *str = new char[strlen("max_pool ") + strlen(poolsize) + 1 + strlen(stride) + 1];
char *tmp = str;
strncpy(tmp, "max_pool ", strlen("max_pool ")); tmp += strlen("max_pool ");
strncpy(tmp, poolsize, strlen(poolsize)); tmp += strlen(poolsize);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, stride, strlen(stride)); tmp += strlen(stride);
strncpy(tmp, "\n", 1); tmp += 1;
*/
//std::string str="max_pool "+int2str(_pool_size) +" "+ int2str(_stride) +"\n";
return str;
}
// ToDo would like delayed activation of conv layer if available
// virtual void activate_nodes(){ return;}
virtual void resize(int _w, int _h=1, int _c=1)
{
if(_w<1) _w=1; if(_h<1) _h=1; if(_c<1) _c=1;
_max_map.resize(_w*_h*_c);
base_layer::resize(_w, _h, _c);
}
// no weights
virtual void calculate_dw(const base_layer &top_layer, matrix &dw, const int train =1) {}
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
// need to set the size of this layer
// can really only handle one connection comming in to this
int pool_size = _pool_size;
int w = (top.node.cols) / pool_size;
int h = (top.node.rows) / pool_size;
if (_stride != _pool_size)
{
w = 1 + ((top.node.cols - _pool_size) / _stride);
h = 1 + ((top.node.rows - _pool_size) / _stride);
}
resize(w, h, top.node.chans);
return base_layer::new_connection(top, weight_mat_index);
}
// this is downsampling
// the pool size must fit correctly in the image map (use resize prior to call if this isn't the case)
virtual void accumulate_signal(const base_layer &top,const enclave_matrix &w,const int train =0)
{
int kstep = top.node.chan_stride; // top.node.cols*top.node.rows;
int jstep=top.node.cols;
int output_index=0;
// int *p_map = _max_map.data();
int pool_y=_pool_size; if(top.node.rows==1) pool_y=1; //-top.pad_rows*2==1) pool_y=1;
int pool_x=_pool_size; if(top.node.cols==1) pool_x=1;//-top.pad_cols*2==1) pool_x=1;
const float *top_node = top.node.x;
for(int k=0; k<top.node.chans; k++)
{
for(int j=0; j<=top.node.rows- _pool_size; j+= _stride)
{
for(int i=0; i<=top.node.cols- _pool_size; i+= _stride)
{
const int base_index=i+(j)*jstep+k*kstep;
int max_i=base_index;
float max=top_node[base_index];
if(pool_x==2)
{
const float *n=top_node+base_index;
//if(max<n[0]) { max = n[0]; max_i=max_i;}
if(max<n[1]) { max = n[1]; max_i=base_index+1;}
n+=jstep;
if(max<n[0]) { max = n[0]; max_i=base_index+jstep;}
if(max<n[1]) { max = n[1]; max_i=base_index+jstep+1;}
}
else if(pool_x==3)
{
const float *n=top_node+base_index;
//if(max<n[0]) { max = n[0]; max_i=max_i;}
if(max<n[1]) { max = n[1]; max_i=base_index+1;}
if(max<n[2]) { max = n[2]; max_i=base_index+2;}
n+=jstep;
if(max<n[0]) { max = n[0]; max_i=base_index+jstep;}
if(max<n[1]) { max = n[1]; max_i=base_index+jstep+1;}
if(max<n[2]) { max = n[2]; max_i=base_index+jstep+2;}
n+=jstep;
if(max<n[0]) { max = n[0]; max_i=base_index+2*jstep;}
if(max<n[1]) { max = n[1]; max_i=base_index+2*jstep+1;}
if(max<n[2]) { max = n[2]; max_i=base_index+2*jstep+2;}
}
else if(pool_x==4)
{
const float *n=top_node+base_index;
//if(max<n[0]) { max = n[0]; max_i=max_i;}
if(max<n[1]) { max = n[1]; max_i=base_index+1;}
if(max<n[2]) { max = n[2]; max_i=base_index+2;}
if(max<n[3]) { max = n[3]; max_i=base_index+3;}
n+=jstep;
if(max<n[0]) { max = n[0]; max_i=base_index+jstep;}
if(max<n[1]) { max = n[1]; max_i=base_index+jstep+1;}
if(max<n[2]) { max = n[2]; max_i=base_index+jstep+2;}
if(max<n[3]) { max = n[3]; max_i=base_index+jstep+3;}
n+=jstep;
if(max<n[0]) { max = n[0]; max_i=base_index+2*jstep;}
if(max<n[1]) { max = n[1]; max_i=base_index+2*jstep+1;}
if(max<n[2]) { max = n[2]; max_i=base_index+2*jstep+2;}
if(max<n[3]) { max = n[3]; max_i=base_index+2*jstep+3;}
n+=jstep;
if(max<n[0]) { max = n[0]; max_i=base_index+3*jstep;}
if(max<n[1]) { max = n[1]; max_i=base_index+3*jstep+1;}
if(max<n[2]) { max = n[2]; max_i=base_index+3*jstep+2;}
if(max<n[3]) { max = n[3]; max_i=base_index+3*jstep+3;}
}
else
{
// speed up with optimized size version
for(int jj=0; jj<pool_y; jj+= 1)
{
for(int ii=0; ii<pool_x; ii+= 1)
{
int index=i+ii+(j+jj)*jstep+k*kstep;
if((max)<(top_node[index]))
{
max = top_node[index];
max_i=index;
}
}
}
}
//if (max<1e-5) node.empty_chan[k] = 1;
//else node.empty_chan[k] = 0;
node.x[output_index] = top_node[max_i];
_max_map[output_index] = max_i;
output_index++;
}
}
}
}
};
//----------------------------------------------------------------------------------------------------------
// S E M I S T O C H A S T I C P O O L I N G
// concept similar to stochastic pooling but only slects 'max' based on top 2 candidates
class semi_stochastic_pooling_layer : public max_pooling_layer
{
public:
semi_stochastic_pooling_layer(const char *layer_name, int pool_size) : max_pooling_layer(layer_name, pool_size) {}
semi_stochastic_pooling_layer(const char *layer_name, int pool_size, int stride) : max_pooling_layer(layer_name, pool_size, stride){}
virtual std::string get_config_string()
{
std::string poolsize = dtoa(_pool_size);
std::string stride = dtoa(_stride);
std::string namelayer = "semi_stochastic_pool ";
std::string space = " ";
std::string cl = "\n";
std::string str = namelayer + poolsize + space + stride + cl;
/*char *str = new char[strlen("semi_stochastic_pool ") + strlen(poolsize) + 1 + strlen(stride) + 1];
char *tmp = str;
strncpy(tmp, "semi_stochastic_pool ", strlen("semi_stochastic_pool ")); tmp += strlen("semi_stochastic_pool ");
strncpy(tmp, poolsize, strlen(poolsize)); tmp += strlen(poolsize);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, stride, strlen(stride)); tmp += strlen(stride);
strncpy(tmp, "\n", 1); tmp += 1;*/
//std::string str = "semi_stochastic_pool " + int2str(_pool_size) + " " + int2str(_stride) + "\n";
return str;
}
virtual void accumulate_signal(const base_layer &top, const enclave_matrix &w, const int train = 0)
{
int kstep = top.node.cols*top.node.rows;
int jstep = top.node.cols;
int output_index = 0;
//int *p_map = _max_map.data();
int pool_y = _pool_size; if (top.node.rows == 1) pool_y = 1; //-top.pad_rows*2==1) pool_y=1;
int pool_x = _pool_size; if (top.node.cols == 1) pool_x = 1;//-top.pad_cols*2==1) pool_x=1;
const float *top_node = top.node.x;
for (int k = 0; k<top.node.chans; k++)
{
for (int j = 0; j <= top.node.rows - _pool_size; j += _stride)
{
for (int i = 0; i <= top.node.cols - _pool_size; i += _stride)
{
const int base_index = i + (j)*jstep + k*kstep;
int max_i = base_index;
float max = top_node[base_index];
int max2_i = base_index;
float max2 = max;
// speed up with optimized size version
for (int jj = 0; jj < pool_y; jj += 1)
{
for (int ii = 0; ii < pool_x; ii += 1)
{
int index = i + ii + (j + jj)*jstep + k*kstep;
if ((max) < (top_node[index]))
{
max2 = max;
max2_i = max_i;
max = top_node[index];
max_i = index;
}
else if ((max2) < (top_node[index]))
{
max2 = top_node[index];
max2_i = index;
}
}
}
// if(max<1e-5) node.empty_chan[k] = 1;
// else node.empty_chan[k] = 0;
//int r = rand() % 100;
int r;
sgx_read_rand((unsigned char *)&r, sizeof(int));
r = r % 100;
float denom = (max + max2);
if (denom == 0)
{
node.x[output_index] = top_node[max_i];
_max_map[output_index] = max_i;
}
else
{
int t1 = (int)(100 * max / (max + max2));
if (r <= t1 || train == 0)
{
node.x[output_index] = top_node[max_i];
_max_map[output_index] = max_i;
}
else
{
node.x[output_index] = top_node[max2_i];
_max_map[output_index] = max2_i;
}
}
output_index++;
}
}
}
}
};
//----------------------------------------------------------------------------------------------------------
// D R O P O U T
//
class dropout_layer : public base_layer
{
float _dropout_rate;
//std::map<const base_layer*, matrix> drop_mask;
matrix drop_mask;
public:
dropout_layer(const char *layer_name, float dropout_rate) : base_layer(layer_name, 1)
{
_has_weights = false;
_dropout_rate = dropout_rate;
p_act = NULL;// new_activation_function("identity");
}
virtual ~dropout_layer() {}
virtual std::string get_config_string()
{
std::string namelayer = "dropout ";
std::string cl = "\n";
std::string dropoutrate = float2str(_dropout_rate);
std::string str = namelayer + dropoutrate + cl;
/*char *str = new char[strlen("dropout ") + strlen(dropoutrate) + 1];
char *tmp = str;
strncpy(tmp, "dropout ", strlen("dropout ")); tmp += strlen("dropout ");
strncpy(tmp, dropoutrate, strlen(dropoutrate)); tmp += strlen(dropoutrate);
strncpy(tmp, "\n", 1); tmp += 1;*/
//std::string str = "dropout " + float2str(_dropout_rate)+"\n";
return str;
}
virtual void resize(int _w, int _h = 1, int _c = 1)
{
if (_w<1) _w = 1; if (_h<1) _h = 1; if (_c<1) _c = 1;
drop_mask.resize(_w, _h, _c);
base_layer::resize(_w, _h, _c);
}
// no weights
virtual void calculate_dw(const base_layer &top_layer, matrix &dw, const int train = 1) {}
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
resize(top.node.cols, top.node.rows, top.node.chans);
return base_layer::new_connection(top, weight_mat_index);
}
// for dropout...
// we know this is called first in the backward pass, and the train will be set to 1
// when that happens the dropouts will be set.
// different dropouts for each mininbatch... don't know if that matters...
virtual void accumulate_signal(const base_layer &top, const enclave_matrix &w, const int train = 0)
{
const float *top_node = top.node.x;
const int size = top.node.chans*top.node.rows*top.node.cols;
memcpy(node.x, top_node, sizeof(float)*size);
// matrix *pmask = &(drop_mask[&top]);
matrix *pmask = &drop_mask;
if (train)
{
pmask->fill(1);
int k;
for (k = 0; k < size; k+=4) // do 4 at a time
{
int r;
sgx_read_rand((unsigned char *)&r, sizeof(int));
if ((r % 100) <= (_dropout_rate*100.f)) { pmask->x[k] = 0.0; node.x[k] *= 0.5f; };
if (((r >> 1) % 100) <= (_dropout_rate*100.f)) { pmask->x[k + 1] = 0.0; node.x[k + 1] *= 0.5f; }
if (((r >> 2) % 100) <= (_dropout_rate*100.f)) { pmask->x[k + 2] = 0.0; node.x[k + 2] *= 0.5f; }
if (((r >> 3) % 100) <= (_dropout_rate*100.f)) { pmask->x[k + 3] = 0.0; node.x[k + 3] *= 0.5f; }
}
int k2 = k - 4;
for (k = k2; k < size; k++)
{
int r;
sgx_read_rand((unsigned char *)&r, sizeof(int));
if ((r % 100) <= (_dropout_rate*100.f)) { pmask->x[k] = 0.0; node.x[k] *= 0.5f; };
}
}
}
};
//----------------------------------------------------------------------------------------------------------
// M F M - M a x F e a t u r e M a p
// (A Lightened CNN for Deep Face Representation) http://arxiv.org/pdf/1511.02683.pdf
// the parameter passed in is the number of maps pooled
class maxout_layer : public base_layer
{
int _pool;
matrix max_map;
public:
maxout_layer(const char *layer_name, int pool_chans) : base_layer(layer_name, 1)
{
_pool = pool_chans;
if (_pool < 2) _pool = 2;
p_act = new_activation_function("identity");
_has_weights = false;
}
virtual ~maxout_layer() {}
virtual std::string get_config_string()
{
std::string namelayer = "mfm ";
std::string pool = dtoa(_pool);
std::string cl = "\n";
std::string str = namelayer + pool + cl;
/*char *str = new char[strlen("mfm ") + strlen(pool) + 1];
char *tmp = str;
strncpy(tmp, "mfm ", strlen("mfm ")); tmp += strlen("mfm ");
strncpy(tmp, pool, strlen(pool)); tmp += strlen(pool);
strncpy(tmp, "\n", 1); tmp += 1;*/
//std::string str = "mfm " + int2str(_pool) + "\n";
return str;
}
virtual void resize(int _w, int _h = 1, int _c = 1)
{
_c /= _pool;
if (_w<1) _w = 1; if (_h<1) _h = 1; if (_c<1) _c = 1;
max_map.resize(_w, _h, _c);
base_layer::resize(_w, _h, _c);
}
inline float df(float *in, int i, int size)
{
return 1.;
};
virtual void activate_nodes() { return; }
// no weights
virtual void calculate_dw(const base_layer &top_layer, matrix &dw, const int train = 1) {}
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
// wasteful to add weight matrix (1x1x1), but makes other parts of code more OO
// bad will happen if try to put more than one pool layer
top.forward_linked_layers.push_back(std::make_pair(weight_mat_index, this));
int w = (top.node.cols) / 1;
int h = (top.node.rows) / 1;
resize(w, h, top.node.chans);
enclave_matrix *ret = new enclave_matrix;
ret->pmatrix = NULL;
return ret;
//return new matrix(1, 1, 1);
}
// for maxout
// we know this is called first in the backward pass, and the train will be set to 1
// when that happens the dropouts will be set.
// different dropouts for each mininbatch... don't know if that matters...
virtual void accumulate_signal(const base_layer &top, const enclave_matrix &w, const int train = 0)
{
const float *top_node = top.node.x;
const int chan_size = top.node.rows*top.node.cols;
//const int pool_offset = top.node.chans / _pool;
const int s = chan_size*top.node.chans / _pool;
if((top.node.chans % _pool) !=0)
bail("mfm layer has pool size that is not a multiple of the input channels");
for (int i = 0; i < s; i++)
{
float max = top.node.x[i];
int maxk = i;
for (int k = 1; k < _pool; k++)
{
if (top.node.x[i + (k*s)] > max)
{
//node.x[i + c / 2 * chan_size] = max;
max = top.node.x[i + (k*s)];
maxk = i + (k*s);
// max_map tells which map 0 or 1 when pooling
//max_map.x[i + c / 2 * chan_size] = 0;
}
}
node.x[i] = max;
max_map.x[i] = (float)maxk;
}
}
};
//----------------------------------------------------------------------------------------------------------
// C O N V O L U T I O N
//
class convolution_layer : public base_layer
{
int _stride;
public:
int kernel_rows;
int kernel_cols;
int maps;
//int maps_per_kernel;
int kernels_per_map;
int groups;
convolution_layer(const char *layer_name, int _w, int _c, int _s, activation_function *p ) : base_layer(layer_name, _w, _w, _c)
{
p_act=p; _stride =_s; kernel_rows=_w; kernel_cols=_w; maps=_c;kernels_per_map=0; pad_cols = kernel_cols-1; pad_rows = kernel_rows-1;
_use_bias = true;
groups=1;
}
convolution_layer(const char *layer_name, int _w, int _c, int _s, int _g, activation_function *p ) : base_layer(layer_name, _w, _w, _c)
{
p_act=p; _stride =_s; kernel_rows=_w; kernel_cols=_w; maps=_c;kernels_per_map=0; pad_cols = kernel_cols-1; pad_rows = kernel_rows-1;
_use_bias = true;
groups=_g;
}
virtual ~convolution_layer() {
}
virtual std::string get_config_string()
{
std::string kernelcols = dtoa(kernel_cols);
std::string mapsstr = dtoa(maps);
std::string stride = dtoa(_stride);
std::string space = " ";
std::string cl = "\n";
std::string name = p_act->name;
if(groups==1)
{
/*char *str = new char[strlen("convolution ") + strlen(kernelcols) + strlen(mapsstr) + strlen(stride) + 4];
char *tmp = str;
strncpy(tmp, "convolution ", strlen("convolution ")); tmp += strlen("convolution ");
strncpy(tmp, kernelcols, strlen(kernelcols)); tmp += strlen(kernelcols);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, mapsstr, strlen(mapsstr)); tmp += strlen(mapsstr);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, stride, strlen(stride)); tmp += strlen(stride);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, p_act->name, strlen(p_act->name)); tmp += strlen(p_act->name);
strncpy(tmp, "\n", 1); tmp += 1;*/
std::string namelayer = "convolution ";
std::string str = namelayer + kernelcols + space + mapsstr + space + stride + space + name + cl;
// std::string str="convolution "+int2str(kernel_cols)+" "+int2str(maps)+" " + int2str(_stride) + " " +p_act->name+"\n";
return str;
}else
{
std::string groupstr = dtoa(groups);
std::string namelayer = "group_convolution ";
std::string str = namelayer + kernelcols + space + mapsstr + space + stride + space + groupstr + space + name + cl;
// std::string str="group_convolution "+int2str(kernel_cols)+" "+int2str(maps)+" " + int2str(_stride)+" " + int2str(groups) + " " +p_act->name+"\n";
return str;
}
}
virtual int fan_size() { return kernel_rows*kernel_cols*maps*kernels_per_map; }
virtual void resize(int _w, int _h=1, int _c=1) // special resize nodes because bias handled differently with shared wts
{
if(kernel_rows*kernel_cols==1) node =matrix(_w,_h,_c); /// use special channel aligned matrix object
else node =matrix(_w,_h,_c,NULL,true); /// use special channel aligned matrix object
bias =matrix(1,1,_c);
bias.fill(0.);
}
// this connection work won't work with multiple top layers (yet)
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
// printf("new connection: convolution_layer\n");
top.forward_linked_layers.push_back(std::make_pair(weight_mat_index,this));
// re-shuffle these things so weights of size kernel w,h,kerns - node of size see below
//int total_kernels=top.node.chans*node.chans;
kernels_per_map += top.node.chans;
resize((top.node.cols-kernel_cols)/_stride+1, (top.node.rows-kernel_rows)/_stride+1, maps);
uint64_t pmatrix; uint64_t px; int size;
ocall_newmatrix(&pmatrix, &px, &size, kernel_cols, kernel_rows, maps*kernels_per_map);
// printf("%d %d %d, size: %d\n", kernel_cols, kernel_rows, maps*kernels_per_map, size);
// printf("address: %p\n", pmatrix);
enclave_matrix *ret = new enclave_matrix;
ret->pmatrix = pmatrix; ret->cols = kernel_cols; ret->rows = kernel_rows; ret->x = (float *)px; ret->chans = maps*kernels_per_map; ret->size = size;
return ret;
//return (matrix *)pmatrix;
// return new matrix(kernel_cols,kernel_rows, maps*kernels_per_map);
}
// activate_nodes
virtual void activate_nodes()
{
const int map_size = node.rows*node.cols;
const int map_stride = node.chan_stride;
const int _maps = maps;
MOJO_THREAD_THIS_LOOP(_thread_count)
for (int c=0; c<_maps; c++)
{
p_act->fc(&node.x[c*map_stride],map_size,bias.x[c]);
//if(node.x[c*map_stride]!=node.x[c*map_stride]) bail("activate");
}
}
virtual void accumulate_signal( const base_layer &top, const enclave_matrix &w, const int train =0)
{
// ww31
// printf("input: %f, weight: %f (%s)\n", top.node.x[0], w.x[0], get_config_string());
const int kstep = top.node.chan_stride;// NOT the same as top.node.cols*top.node.rows;
const int jstep=top.node.cols;
//int output_index=0;
const int kernel_size=kernel_cols*kernel_rows;
const int kernel_map_step = kernel_size*kernels_per_map;
const int map_size=node.cols*node.rows;
const int map_stride = node.chan_stride;
const float *_w = w.x;
const int top_chans = top.node.chans;
const int map_cnt=maps;
const int w_size = kernel_cols;
const int stride = _stride;
const int node_size= node.cols;
const int top_node_size = top.node.cols;
const int outsize = node_size*node_size;
// printf("%d %d %d,\n", top.node.chans, node.chans, groups);
// printf("kernel_rows: %d\n", kernel_rows);
if ((top.node.chans == node.chans) && (top.node.chans==groups))
{
// printf("************************** 1111111\n");
if(kernel_rows>=2 && (kernel_rows<=5))
{
// printf("************************** 2222222\n");
matrix img_ptr(node_size, node_size, kernel_rows*kernel_rows, NULL, true);
for (int k = 0; k < map_cnt; k++) // input channels --- same as kernels_per_map - kern for each input
{
unwrap_aligned_NxN(kernel_rows, img_ptr.x, &top.node.x[k*kstep], jstep, stride);
float *ww = &w.x[(0 + k*maps)*kernel_size];
if(kernel_rows==2)
{
//MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
dotsum_unwrapped_2x2(img_ptr.x, ww+k*kernel_size, node.x + map_stride*k, outsize);
}
else if(kernel_rows==3)
{
//MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
dotsum_unwrapped_3x3(img_ptr.x, ww+k*kernel_size, node.x + map_stride*k, outsize);
}
else if(kernel_rows==4)
{
//MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
dotsum_unwrapped_4x4(img_ptr.x, ww+k*kernel_size, node.x + map_stride*k, outsize);
}
else //(kernel_rows==5)
{
//MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
dotsum_unwrapped_5x5(img_ptr.x, ww+k*kernel_size, node.x + map_stride*k, outsize);
}
}
}
else if (kernel_rows == 1)
{
// printf("************************** 333333\n");
for (int k = 0; k < map_cnt; k++) // input channels --- same as kernels_per_map - kern for each input
{
const float *_top_node = &top.node.x[k*kstep];
const float cw = w.x[(k + k*maps)*kernel_size];
const int mapoff = map_size*k;
for (int j = 0; j < node_size*node_size; j += stride) node.x[j + mapoff] += _top_node[j] * cw;
}
}
return;
}
if(kernel_rows>=2 && (kernel_rows<=5))
{
// printf("************************** 44444444\n");
matrix img_ptr(node_size, node_size, kernel_rows*kernel_rows, NULL, true);
const int maps_per_group = map_cnt/groups;
const int top_chan_per_group = top_chans/groups;
for(int g=0; g<groups; g++)
{
const int start_k=0+g*top_chan_per_group;
const int stop_k=start_k+top_chan_per_group;
const int start_map=0+g*maps_per_group;
const int stop_map=start_map+maps_per_group;
for (int k = start_k; k < stop_k; k++) // input channels --- same as kernels_per_map - kern for each input
{
unwrap_aligned_NxN(kernel_rows, img_ptr.x, &top.node.x[k*kstep], jstep, stride);
float *ww = &w.x[(0 + k*maps)*kernel_size];
if(kernel_rows==2)
{
MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
for (int map = start_map; map < stop_map; map+=1) dotsum_unwrapped_2x2(img_ptr.x, ww+map*kernel_size, node.x + map_stride*map, outsize);
}
else if(kernel_rows==3)
{
MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
for (int map = start_map; map < stop_map; map+=1) dotsum_unwrapped_3x3(img_ptr.x, ww+map*kernel_size, node.x + map_stride*map, outsize);
}
else if(kernel_rows==4)
{
MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
for (int map = start_map; map < stop_map; map+=1) dotsum_unwrapped_4x4(img_ptr.x, ww+map*kernel_size, node.x + map_stride*map, outsize);
}
else //(kernel_rows==5)
{
MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
for (int map = start_map; map < stop_map; map+=1) dotsum_unwrapped_5x5(img_ptr.x, ww+map*kernel_size, node.x + map_stride*map, outsize);
}
}
}
}
else if (kernel_rows == 1)
{
// printf("************************** 555555\n");
const int maps_per_group = map_cnt/groups;
const int top_chan_per_group = top_chans/groups;
// const int group_start=0;
// const int group_end= group_start+maps_per_group;
for(int g=0; g<groups; g++)
{
const int start_k=0+g*top_chan_per_group;
const int stop_k=start_k+top_chan_per_group;
const int start_map=0+g*maps_per_group;
const int stop_map=start_map+maps_per_group;
for (int k = start_k; k < stop_k; k++) // input channels --- same as kernels_per_map - kern for each input
{
const float *_top_node = &top.node.x[k*kstep];
//MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
for (int map = start_map; map < stop_map; map++)
{
const float cw = w.x[(map + k*maps)*kernel_size];
const int mapoff = map_size*map;
for (int j = 0; j < node_size*node_size; j += stride) node.x[j + mapoff] += _top_node[j] * cw;
}
}
}
}
else
{
// printf("************************** 66666666: %f\n", w.x[0]);
const int maps_per_group = map_cnt/groups;
const int top_chan_per_group = top_chans/groups;
for(int g=0; g<groups; g++)
{
const int start_k=0+g*top_chan_per_group;
const int stop_k=start_k+top_chan_per_group;
const int start_map=0+g*maps_per_group;
const int stop_map=start_map+maps_per_group;
for(int map=start_map; map<stop_map; map++) // how many maps maps= node.chans
{
for(int k=start_k; k<stop_k; k++) // input channels --- same as kernels_per_map - kern for each input
{
MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
for(int j=0; j<node_size; j+= stride) // input h
for(int i=0; i<node_size; i+= stride) // intput w
{
// printf("%d: %f\n", (map+k*maps)*kernel_size, w.x[(map+k*maps)*kernel_size]);
node.x[i+(j)*node.cols +map_stride*map]+=
unwrap_2d_dot(
&top.node.x[(i)+(j)*jstep + k*kstep],
&w.x[(map+k*maps)*kernel_size],
kernel_cols,
jstep,kernel_cols);
}
} // k
} // all maps=chans
} //g groups
}
}
};
//----------------------------------------------------------------------------------------------------------
// D E E P C N E T
// 2x2 convolution followed by 2x2 max pool
// odd number should be in-size, then -1 after convolution and divide by 2 for output size
class deepcnet_layer : public base_layer
{
int _stride;
matrix conv_delta;
std::vector<int> _max_map;
public:
int kernel_rows;
int kernel_cols;
int maps;
//int maps_per_kernel;
int kernels_per_map;
static const int _pool=2;
deepcnet_layer(const char *layer_name, int _c, activation_function *p) : base_layer(layer_name, 2, 2, _c)
{
p_act = p; _stride = 1; kernel_rows = 2; kernel_cols = 2; maps = _c;
kernels_per_map = 0; pad_cols = 1; pad_rows = 1;
_use_bias = true;
}
virtual ~deepcnet_layer() {}
virtual std::string get_config_string()
{
/* char *map = dtoa(maps);
char *str = new char[strlen("deepcnet ") + strlen(map) + strlen(p_act->name) + 2];
char *tmp = str;
strncpy(tmp, "deepcnet ", strlen("deepcnet ")); tmp += strlen("deepcnet ");
strncpy(tmp, map, strlen(map)); tmp += strlen(map);
strncpy(tmp, " ", 1); tmp += 1;
strncpy(tmp, p_act->name, strlen(p_act->name)); tmp += strlen(p_act->name);
strncpy(tmp, "\n", 1); tmp += 1;*/
std::string map = dtoa(maps);
std::string deepcnet = "deepcnet ";
std::string space = " ";
std::string cl = "\n";
std::string name = p_act->name;
std::string str = deepcnet + map + space + name + cl;
return str;
}
virtual int fan_size() { return kernel_rows*kernel_cols*maps *kernels_per_map; }
virtual void resize(int _w, int _h = 1, int _c = 1) // special resize nodes because bias handled differently with shared wts
{
node = matrix(_w, _h, _c);
bias = matrix(1, 1, _c);
bias.fill(0.);
_max_map.resize(_w*_h*_c);
conv_delta = matrix(_w*_pool, _h*_pool, maps);
}
// this connection work won't work with multiple top layers (yet)
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
// printf("new connection: deepcnet_layer\n");
top.forward_linked_layers.push_back(std::make_pair(weight_mat_index, this));
// re-shuffle these things so weights of size kernel w,h,kerns - node of size see below
//int total_kernels=top.node.chans*node.chans;
kernels_per_map += top.node.chans;
resize((top.node.cols - 1) / _pool, (top.node.rows - 1) / _pool, maps);
uint64_t pmatrix; uint64_t px; int size;
ocall_newmatrix(&pmatrix, &px, &size, kernel_cols, kernel_rows, maps*kernels_per_map);
// printf("address: %p\n", pmatrix);
enclave_matrix *ret = new enclave_matrix;
ret->pmatrix = pmatrix; ret->cols = kernel_cols; ret->rows = kernel_rows; ret->x = (float *)px; ret->chans = maps*kernels_per_map; ret->size = size;
return ret;
//return (matrix *)pmatrix;
//return new matrix(kernel_cols, kernel_rows, maps*kernels_per_map);
}
// activate_nodes
virtual void activate_nodes()
{
const int map_size = node.rows*node.cols;
const int map_stride = node.chan_stride;
const int _maps = maps;
MOJO_THREAD_THIS_LOOP(_thread_count)
for (int c=0; c<_maps; c++) p_act->fc(&node.x[c*map_stride],map_size,bias.x[c]);
}
virtual void accumulate_signal(const base_layer &top, const enclave_matrix &w , const int train = 0)
{
// printf("input: %f, weight: %f (%s)\n", top.node.x[0], w.x[0], get_config_string());
const int kstep = top.node.chan_stride;
const int jstep = top.node.cols;
//int output_index=0;
const int kernel_size = kernel_cols*kernel_rows;
const int kernel_map_step = kernel_size*kernels_per_map;
const int pool_map_size = node.cols*node.rows;
const int pool_map_stride = node.chan_stride;
const float *_w = w.x;
const int top_chans = top.node.chans;
const int map_cnt = maps;
const int w_size = kernel_cols;
const int stride = _stride;
const int conv_size = node.cols * _pool;
const int pool_size = node.cols;
const int top_node_size = top.node.cols;
const int outsize = pool_size*pool_size;
//int *p_map = _max_map.data();
matrix imgsum_ptr(jstep-1,jstep-1,maps,NULL,true);
imgsum_ptr.fill(0);
matrix img_ptr( top.node.cols, top.node.cols, 2*2, NULL, true);
//#pragma omp parallel for schedule(guided) num_threads(_thread_count)
for (int k = 0; k < top_chans; k++) // input channels --- same as kernels_per_map - kern for each input
{
unwrap_aligned_NxN(2, img_ptr.x, &top.node.x[k*kstep], jstep, 1);
// MOJO_THREAD_THIS_LOOP_DYNAMIC(_thread_count)
MOJO_THREAD_THIS_LOOP(_thread_count)
for (int map = 0; map < map_cnt; map+=1) // how many maps maps= node.chans
{
//std::cout << omp_get_thread_num();
float *out = imgsum_ptr.x + imgsum_ptr.chan_stride*map;
dotsum_unwrapped_2x2(img_ptr.x, &w.x[(map + k*maps)*kernel_size], out, (jstep-1)*(jstep-1));
}
}
int idx = 0;
for (int map = 0; map < map_cnt; map++) // how many maps maps= node.chans
{
float *out = node.x + pool_map_stride*map;
float *sum = imgsum_ptr.x + imgsum_ptr.chan_stride*map;
int cnt=0;
for (int j = 0; j < conv_size; j += _pool)
{
for (int i = 0; i < conv_size; i += _pool)
{
int maxi = i + j*conv_size;
if (sum[maxi] < sum[i + 1 + j*conv_size])
maxi = i + 1 + j*conv_size;
if (sum[maxi] < sum[i + (j + 1)*conv_size])
maxi = i + (j + 1)*conv_size;
if (sum[maxi] < sum[i + 1 + (j + 1)*conv_size])
maxi = i + 1 + (j + 1)*conv_size;
//const int pool_idx = (i + j * pool_size) / _pool;
out[cnt] = sum[maxi];
_max_map[idx] = maxi+ conv_size*conv_size*map;
idx++;
cnt++;
}
}
} //ww31
}
};
//----------------------------------------------------------------------------------------------------------
// C O N C A T E N A T I O N | R E S I Z E | P A D
//
// puts a set of output maps together and pads to the desired size
class concatenation_layer : public base_layer
{
std::map<const base_layer*, int> layer_to_channel; // name-to-index of layer for layer management
int _maps;
mojo::pad_type _pad_type;
public:
concatenation_layer(const char *layer_name, int _w, int _h, mojo::pad_type p= mojo::zero) : base_layer(layer_name, _w, _h)
{
_maps = 0;
_pad_type = p;
_has_weights = false;
p_act = NULL;// new_activation_function("identity");
}
virtual ~concatenation_layer() {}
virtual std::string get_config_string()
{
/* char *cols = dtoa(node.cols);
char *str;
if (_pad_type == mojo::edge) str = new char[strlen("concatenate ") + strlen(" edge\n") + strlen(cols)];
else if(_pad_type == mojo::median_edge) str = new char[strlen("concatenate ") + strlen(" median_edge\n") + strlen(cols)];
else str = new char[strlen("concatenate ") + strlen(" zero\n") + strlen(cols)];
char *tmp = str;
strncpy(tmp, "concatenate ", strlen("concatenate ")); tmp += strlen("concatenate ");
strncpy(tmp, cols, strlen(cols)); tmp += strlen(cols);
if (_pad_type == mojo::edge) strncpy(tmp, " edge\n", strlen(" edge\n"));
else if(_pad_type == mojo::median_edge) strncpy(tmp, " median_edge\n", strlen(" median_edge\n"));
else strncpy(tmp, " zero\n", strlen(" zero\n"));*/
std::string conc = "concatenate ";
std::string cols = dtoa(node.cols);
std::string str_p = " zero\n";
if (_pad_type == mojo::edge) str_p = " edge\n";
else if (_pad_type == mojo::median_edge) str_p = " median_edge\n";
std::string str = conc + cols + str_p;
return str;
}
// this connection work won't work with multiple top layers (yet)
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
//if (layer_to_channel[&top]) bail("layer already addded to pad layer"); //already exists
layer_to_channel[&top] = _maps;
_maps += top.node.chans;
resize(node.cols, node.rows, _maps);
return base_layer::new_connection(top, weight_mat_index);
}
// no weights
virtual void calculate_dw(const base_layer &top_layer, matrix &dw, const int train = 1) {}
virtual void accumulate_signal(const base_layer &top, const enclave_matrix &w, const int train = 0)
{
const float *top_node = top.node.x;
const int size = node.rows*node.cols;
int opadx = node.cols - top.node.cols;
int opady = node.rows - top.node.rows;
int padx=0, pady=0, padx_ex=0, pady_ex=0;
if (opadx > 0) padx = opadx/2;
if (opady > 0) pady = opady/2;
if (opadx % 2 != 0) {
padx_ex = 1;
}
if (opady % 2 != 0) {
pady_ex = 1;
}
int map_offset = layer_to_channel[&top];
if (padx+ padx_ex > 0 || pady+ pady_ex > 0 )
{
matrix m = top.node.pad(padx, pady, padx+ padx_ex, pady+pady_ex, _pad_type, _thread_count);
memcpy(node.x + node.chan_stride*map_offset, m.x, sizeof(float)*m.size());
}
else if((node.cols == top.node.cols) && (node.rows == top.node.rows))
{
memcpy(node.x + node.chan_stride*map_offset, top.node.x, sizeof(float)*top.node.size());
}
else
{
// crop
int dx = abs(padx) / 2;
int dy = abs(pady) / 2;
matrix m = top.node.crop(dx, dy, node.cols, node.rows, _thread_count);
memcpy(node.x + node.chan_stride*map_offset, m.x, sizeof(float)*m.size());
}
}
};
//----------------------------------------------------------------------------------------------------------
// S H U F F L E
//
// memcopy maps in shuffled order over groups
// first map of each group will be the same,
// the second map of the first group will be changed to these second map of the second group
// the 3rd map of the first group will be changed to the 3rd map of the 3rd group, etc..
// the secon map of the second group will be the second map of the 3rd group
// ex: shuffle 3: (with 9 output maps)
// maps of previous layer:
// 0 1 2 3 4 5 6 7 8
// output after shuffle:
// 0 4 8 3 7 2 6 1 5
// (can only connect to one input layer)
class shuffle_layer : public base_layer
{
int groups;
public:
shuffle_layer(const char *layer_name, int _groups) : base_layer(layer_name, 1)
{
groups = _groups;
if (groups < 1) groups = 1;
p_act = new_activation_function("identity");
_has_weights = false;
}
virtual ~shuffle_layer() {}
virtual std::string get_config_string()
{
std::string group = dtoa(groups);
std::string namelayer = "shuffle ";
std::string cl = "\n";
std::string str = namelayer + group + cl;
/*char *str = new char[strlen("shuffle ") + strlen(group) + 1];
char *tmp = str;
strncpy(tmp, "shuffle ", strlen("shuffle ")); tmp += strlen("shuffle ");
strncpy(tmp, group, strlen(group)); tmp += strlen(group);
strncpy(tmp, "\n", 1); tmp += 1;*/
// std::string str = "shuffle " + int2str(groups) + "\n";
return str;
//std:string strgroup(int2str(groups));
//std::string str = "shuffle " + int2str(groups) + "\n";
//return str;
}
virtual void resize(int _w, int _h = 1, int _c = 1)
{
//_c /= groups;
if (_w<1) _w = 1; if (_h<1) _h = 1; if (_c<1) _c = 1;
//max_map.resize(_w, _h, _c);
base_layer::resize(_w, _h, _c);
}
inline float df(float *in, int i, int size)
{
return 1.;
};
virtual void activate_nodes() { return; }
// no weights
virtual void calculate_dw(const base_layer &top_layer, matrix &dw, const int train = 1) {}
virtual enclave_matrix * new_connection(base_layer &top, int weight_mat_index)
{
// printf("shuffle layer\n");
// wasteful to add weight matrix (1x1x1), but makes other parts of code more OO
// bad will happen if try to put more than one top layer
top.forward_linked_layers.push_back(std::make_pair(weight_mat_index, this));
int w = (top.node.cols) / 1;
int h = (top.node.rows) / 1;
resize(w, h, top.node.chans);
enclave_matrix *ret = new enclave_matrix;
ret->pmatrix = NULL; ret->x = NULL; ret->size = 0; ret->cols = 0; ret->rows = 0;
return ret;
//return NULL;
//return new matrix(1, 1, 1);
}
virtual void accumulate_signal(const base_layer &top, const enclave_matrix &w, const int train = 0)
{
const int gsize = top.node.chans/groups;
const float *top_node = top.node.x;
const int chan_size = top.node.rows*top.node.cols;
if((top.node.chans % groups) !=0)
bail("shuffle layer has group size that is not a multiple of the input channels");
for (int i=0; i<top.node.chans; i++)
{
// shuffle logic to match above scheme
int g = ((i%gsize)*gsize+i)%top.node.chans;
memcpy(&node.x[i*chan_size], &top.node.x[g*chan_size], sizeof(float)*chan_size);
}
}
};
//--------------------------------------------------
// N E W L A Y E R
//
// "input", "fully_connected","max_pool","convolution","concatination"
base_layer *new_layer(const char *layer_name, const char *config)
{
char *input;
char delim[] = " \n";
input = strtok((char *)config, delim);
int w,h,c,s,g;
if(strncmp(input, "input", strlen("input")) == 0)
{
char *ws = strtok(NULL, delim); w = str2int(ws);
char *hs = strtok(NULL, delim); h = str2int(hs);
char *cs = strtok(NULL, delim); c = str2int(cs);
return new input_layer(layer_name, w, h, c);
}else if(strncmp(input, "fully_connected", strlen("fully_connected")) == 0)
{
char *cs = strtok(NULL, delim); c = str2int(cs);
char *act = strtok(NULL, delim);
if (c <= 0) bail("fully_connected layer has invalid output channels");
//if (act.empty()) bail("fully_connected layer missing activation");
return new fully_connected_layer(layer_name, c, new_activation_function(act));
}else if(strncmp(input, "softmax", strlen("softmax")) == 0)
{
char *cs = strtok(NULL, delim); c = str2int(cs);
if (c <= 0) bail("softmax layer has invalid output channels");
return new fully_connected_layer(layer_name, c, new_activation_function("softmax"));
}else if(strncmp(input, "brokemax", strlen("brokemax")) == 0)
{
char *cs = strtok(NULL, delim); c = str2int(cs);
return new fully_connected_layer(layer_name, c, new_activation_function("brokemax"));
}else if(strncmp(input, "max_pool", strlen("max_pool")) == 0)
{
char *cs = strtok(NULL, delim); c = str2int(cs);
char *ss = strtok(NULL, delim); s = str2int(ss);
if(s > 0 && s <= c)
return new max_pooling_layer(layer_name, c, s);
else
return new max_pooling_layer(layer_name, c);
}else if(strncmp(input, "mfm", strlen("mfm")) == 0)
{
char *cs = strtok(NULL, delim); c = str2int(cs);
return new maxout_layer(layer_name, c);
}else if(strncmp(input, "semi_stochastic_pool", strlen("semi_stochastic_pool")) == 0)
{
char *cs = strtok(NULL, delim); c = str2int(cs);
char *ss = strtok(NULL, delim); s = str2int(ss);
if (s > 0 && s <= c)
return new semi_stochastic_pooling_layer(layer_name, c, s);
else
return new semi_stochastic_pooling_layer(layer_name, c);
}else if(strncmp(input, "deepcnet", strlen("deepcnet")) == 0)
{
char *cs = strtok(NULL, delim); c = str2int(cs);
char *act = strtok(NULL, delim);
return new deepcnet_layer(layer_name, c, new_activation_function(act));
}else if(strncmp(input, "convolution", strlen("convolution")) == 0)
{
char *ws = strtok(NULL, delim); w = str2int(ws);
char *cs = strtok(NULL, delim); c = str2int(cs);
char *ss = strtok(NULL, delim); s = str2int(ss);
char *act = strtok(NULL, delim);
return new convolution_layer(layer_name, w,c,s, new_activation_function(act));
}else if(strncmp(input, "group_convolution", strlen("group_convolution")) == 0)
{
char *ws = strtok(NULL, delim); w = str2int(ws);
char *cs = strtok(NULL, delim); c = str2int(cs);
char *ss = strtok(NULL, delim); s = str2int(ss);
char *gs = strtok(NULL, delim); g = str2int(gs);
char *act = strtok(NULL, delim);
return new convolution_layer(layer_name, w,c,s, g, new_activation_function(act));
}else if(strncmp(input, "shuffle", strlen("shuffle")) == 0)
{
char *gs = strtok(NULL, delim); g = str2int(gs);
return new shuffle_layer(layer_name, g);
}else if(strncmp(input, "dropout", strlen("dropout")) == 0)
{
float fc;
char *fcs = strtok(NULL, delim); fc = stof(fcs);
return new dropout_layer(layer_name, fc);
}else if((strncmp(input, "resize", strlen("resize")) == 0) || (strncmp(input, "concatenate", strlen("concatenate")) == 0) )
{
char *ws = strtok(NULL, delim); w = str2int(ws);
char *pad = strtok(NULL, delim);
mojo::pad_type p = mojo::zero;
if (strncmp(pad, "median", strlen("median")) == 0) p = mojo::median_edge;
else if (strncmp(pad, "median_edge", strlen("median_edge")) == 0) p = mojo::median_edge;
else if (strncmp(pad, "edge", strlen("edge")) == 0) p = mojo::edge;
return new concatenation_layer(layer_name, w,w, p);
}else
{
bail("layer type not valid: ");
printf("error string: %s\n", input);
}
// std::istringstream iss(config);
// std::string str;
// iss>>str;
/*if(str.compare("input")==0)
{
iss>>w; iss>>h; iss>>c;
return new input_layer(layer_name, w,h,c);
}
else if(str.compare("fully_connected")==0)
{
std::string act;
iss>>c; iss>>act;
if (c<=0) bail("fully_connected layer has invalid output channels");
//if (act.empty()) bail("fully_connected layer missing activation");
return new fully_connected_layer(layer_name, c, new_activation_function(act));
}
else if (str.compare("softmax") == 0)
{
//std::string act;
iss >> c; //iss >> act;
if (c<=0) bail("softmax layer has invalid output channels");
return new fully_connected_layer(layer_name, c, new_activation_function("softmax"));
}
else if (str.compare("brokemax") == 0)
{
//std::string act;
iss >> c; //iss >> act;
return new fully_connected_layer(layer_name, c, new_activation_function("brokemax"));
}
else if(str.compare("max_pool")==0)
{
iss >> c; iss >> s;
if(s>0 && s<=c)
return new max_pooling_layer(layer_name, c, s);
else
return new max_pooling_layer(layer_name, c);
}
else if (str.compare("mfm") == 0)
{
iss >> c;
return new maxout_layer(layer_name, c);
}
/*
else if (str.compare("activation") == 0)
{
iss >> s;
return new activation_layer(layer_name, s);
}
*/
/* else if (str.compare("semi_stochastic_pool") == 0)
{
iss >> c; iss >> s;
if (s>0 && s <= c)
return new semi_stochastic_pooling_layer(layer_name, c, s);
else
return new semi_stochastic_pooling_layer(layer_name, c);
}
else if (str.compare("deepcnet") == 0)
{
std::string act;
iss >> c; iss >> act;
return new deepcnet_layer(layer_name, c, new_activation_function(act));
}
else if(str.compare("convolution")==0)
{
std::string act;
iss>>w;iss>>c; iss >> s; iss>>act;
return new convolution_layer(layer_name, w,c,s, new_activation_function(act));
}
else if(str.compare("group_convolution")==0)
{
std::string act;
iss>>w;iss>>c; iss >> s; iss >> g; iss>>act;
return new convolution_layer(layer_name, w,c,s, g, new_activation_function(act));
}
else if(str.compare("shuffle")==0)
{
iss >> g;
return new shuffle_layer(layer_name, g);
}
else if (str.compare("dropout") == 0)
{
float fc;
iss >> fc;
return new dropout_layer(layer_name, fc);
}
else if((str.compare("resize")==0) || (str.compare("concatenate") == 0))
{
std::string pad;
iss>>w;
iss >> pad;
mojo::pad_type p = mojo::zero;
if (pad.compare("median") == 0) p = mojo::median_edge;
else if (pad.compare("median_edge") == 0) p = mojo::median_edge;
else if (pad.compare("edge") == 0) p = mojo::edge;
return new concatenation_layer(layer_name, w,w, p);
}
else
{
bail("layer type not valid: '" + str + "'");
}
*/
return NULL;
}
} // namespace
|
Stmt.h | //===- Stmt.h - Classes for representing statements -------------*- 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 Stmt interface and subclasses.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_AST_STMT_H
#define LLVM_CLANG_AST_STMT_H
#include "clang/AST/DeclGroup.h"
#include "clang/AST/StmtIterator.h"
#include "clang/Basic/CapturedStmt.h"
#include "clang/Basic/IdentifierTable.h"
#include "clang/Basic/LLVM.h"
#include "clang/Basic/SourceLocation.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/PointerIntPair.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/iterator.h"
#include "llvm/ADT/iterator_range.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/Compiler.h"
#include "llvm/Support/ErrorHandling.h"
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <iterator>
#include <string>
namespace llvm {
class FoldingSetNodeID;
} // namespace llvm
namespace clang {
class ASTContext;
class Attr;
class CapturedDecl;
class Decl;
class Expr;
class LabelDecl;
class ODRHash;
class PrinterHelper;
struct PrintingPolicy;
class RecordDecl;
class SourceManager;
class StringLiteral;
class Token;
class VarDecl;
//===----------------------------------------------------------------------===//
// AST classes for statements.
//===----------------------------------------------------------------------===//
/// Stmt - This represents one statement.
///
class alignas(void *) Stmt {
public:
enum StmtClass {
NoStmtClass = 0,
#define STMT(CLASS, PARENT) CLASS##Class,
#define STMT_RANGE(BASE, FIRST, LAST) \
first##BASE##Constant=FIRST##Class, last##BASE##Constant=LAST##Class,
#define LAST_STMT_RANGE(BASE, FIRST, LAST) \
first##BASE##Constant=FIRST##Class, last##BASE##Constant=LAST##Class
#define ABSTRACT_STMT(STMT)
#include "clang/AST/StmtNodes.inc"
};
// Make vanilla 'new' and 'delete' illegal for Stmts.
protected:
friend class ASTStmtReader;
friend class ASTStmtWriter;
void *operator new(size_t bytes) noexcept {
llvm_unreachable("Stmts cannot be allocated with regular 'new'.");
}
void operator delete(void *data) noexcept {
llvm_unreachable("Stmts cannot be released with regular 'delete'.");
}
//===--- Statement bitfields classes ---===//
class StmtBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class Stmt;
/// The statement class.
unsigned sClass : 8;
/// This bit is set only for the Stmts that are the structured-block of
/// OpenMP executable directives. Directives that have a structured block
/// are called "non-standalone" directives.
/// I.e. those returned by OMPExecutableDirective::getStructuredBlock().
unsigned IsOMPStructuredBlock : 1;
};
enum { NumStmtBits = 9 };
class NullStmtBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class NullStmt;
unsigned : NumStmtBits;
/// True if the null statement was preceded by an empty macro, e.g:
/// @code
/// #define CALL(x)
/// CALL(0);
/// @endcode
unsigned HasLeadingEmptyMacro : 1;
/// The location of the semi-colon.
SourceLocation SemiLoc;
};
class CompoundStmtBitfields {
friend class ASTStmtReader;
friend class CompoundStmt;
unsigned : NumStmtBits;
unsigned NumStmts : 32 - NumStmtBits;
/// The location of the opening "{".
SourceLocation LBraceLoc;
};
class LabelStmtBitfields {
friend class LabelStmt;
unsigned : NumStmtBits;
SourceLocation IdentLoc;
};
class AttributedStmtBitfields {
friend class ASTStmtReader;
friend class AttributedStmt;
unsigned : NumStmtBits;
/// Number of attributes.
unsigned NumAttrs : 32 - NumStmtBits;
/// The location of the attribute.
SourceLocation AttrLoc;
};
class IfStmtBitfields {
friend class ASTStmtReader;
friend class IfStmt;
unsigned : NumStmtBits;
/// True if this if statement is a constexpr if.
unsigned IsConstexpr : 1;
/// True if this if statement has storage for an else statement.
unsigned HasElse : 1;
/// True if this if statement has storage for a variable declaration.
unsigned HasVar : 1;
/// True if this if statement has storage for an init statement.
unsigned HasInit : 1;
/// The location of the "if".
SourceLocation IfLoc;
};
class SwitchStmtBitfields {
friend class SwitchStmt;
unsigned : NumStmtBits;
/// True if the SwitchStmt has storage for an init statement.
unsigned HasInit : 1;
/// True if the SwitchStmt has storage for a condition variable.
unsigned HasVar : 1;
/// If the SwitchStmt is a switch on an enum value, records whether all
/// the enum values were covered by CaseStmts. The coverage information
/// value is meant to be a hint for possible clients.
unsigned AllEnumCasesCovered : 1;
/// The location of the "switch".
SourceLocation SwitchLoc;
};
class WhileStmtBitfields {
friend class ASTStmtReader;
friend class WhileStmt;
unsigned : NumStmtBits;
/// True if the WhileStmt has storage for a condition variable.
unsigned HasVar : 1;
/// The location of the "while".
SourceLocation WhileLoc;
};
class DoStmtBitfields {
friend class DoStmt;
unsigned : NumStmtBits;
/// The location of the "do".
SourceLocation DoLoc;
};
class ForStmtBitfields {
friend class ForStmt;
unsigned : NumStmtBits;
/// The location of the "for".
SourceLocation ForLoc;
};
class GotoStmtBitfields {
friend class GotoStmt;
friend class IndirectGotoStmt;
unsigned : NumStmtBits;
/// The location of the "goto".
SourceLocation GotoLoc;
};
class ContinueStmtBitfields {
friend class ContinueStmt;
unsigned : NumStmtBits;
/// The location of the "continue".
SourceLocation ContinueLoc;
};
class BreakStmtBitfields {
friend class BreakStmt;
unsigned : NumStmtBits;
/// The location of the "break".
SourceLocation BreakLoc;
};
class ReturnStmtBitfields {
friend class ReturnStmt;
unsigned : NumStmtBits;
/// True if this ReturnStmt has storage for an NRVO candidate.
unsigned HasNRVOCandidate : 1;
/// The location of the "return".
SourceLocation RetLoc;
};
class SwitchCaseBitfields {
friend class SwitchCase;
friend class CaseStmt;
unsigned : NumStmtBits;
/// Used by CaseStmt to store whether it is a case statement
/// of the form case LHS ... RHS (a GNU extension).
unsigned CaseStmtIsGNURange : 1;
/// The location of the "case" or "default" keyword.
SourceLocation KeywordLoc;
};
//===--- Expression bitfields classes ---===//
class ExprBitfields {
friend class ASTStmtReader; // deserialization
friend class AtomicExpr; // ctor
friend class BlockDeclRefExpr; // ctor
friend class CallExpr; // ctor
friend class CXXConstructExpr; // ctor
friend class CXXDependentScopeMemberExpr; // ctor
friend class CXXNewExpr; // ctor
friend class CXXUnresolvedConstructExpr; // ctor
friend class DeclRefExpr; // computeDependence
friend class DependentScopeDeclRefExpr; // ctor
friend class DesignatedInitExpr; // ctor
friend class Expr;
friend class InitListExpr; // ctor
friend class ObjCArrayLiteral; // ctor
friend class ObjCDictionaryLiteral; // ctor
friend class ObjCMessageExpr; // ctor
friend class OffsetOfExpr; // ctor
friend class OpaqueValueExpr; // ctor
friend class OverloadExpr; // ctor
friend class ParenListExpr; // ctor
friend class PseudoObjectExpr; // ctor
friend class ShuffleVectorExpr; // ctor
unsigned : NumStmtBits;
unsigned ValueKind : 2;
unsigned ObjectKind : 3;
unsigned TypeDependent : 1;
unsigned ValueDependent : 1;
unsigned InstantiationDependent : 1;
unsigned ContainsUnexpandedParameterPack : 1;
};
enum { NumExprBits = NumStmtBits + 9 };
class PredefinedExprBitfields {
friend class ASTStmtReader;
friend class PredefinedExpr;
unsigned : NumExprBits;
/// The kind of this PredefinedExpr. One of the enumeration values
/// in PredefinedExpr::IdentKind.
unsigned Kind : 4;
/// True if this PredefinedExpr has a trailing "StringLiteral *"
/// for the predefined identifier.
unsigned HasFunctionName : 1;
/// The location of this PredefinedExpr.
SourceLocation Loc;
};
class DeclRefExprBitfields {
friend class ASTStmtReader; // deserialization
friend class DeclRefExpr;
unsigned : NumExprBits;
unsigned HasQualifier : 1;
unsigned HasTemplateKWAndArgsInfo : 1;
unsigned HasFoundDecl : 1;
unsigned HadMultipleCandidates : 1;
unsigned RefersToEnclosingVariableOrCapture : 1;
/// The location of the declaration name itself.
SourceLocation Loc;
};
enum APFloatSemantics {
IEEEhalf,
IEEEsingle,
IEEEdouble,
x87DoubleExtended,
IEEEquad,
PPCDoubleDouble
};
class FloatingLiteralBitfields {
friend class FloatingLiteral;
unsigned : NumExprBits;
unsigned Semantics : 3; // Provides semantics for APFloat construction
unsigned IsExact : 1;
};
class StringLiteralBitfields {
friend class ASTStmtReader;
friend class StringLiteral;
unsigned : NumExprBits;
/// The kind of this string literal.
/// One of the enumeration values of StringLiteral::StringKind.
unsigned Kind : 3;
/// The width of a single character in bytes. Only values of 1, 2,
/// and 4 bytes are supported. StringLiteral::mapCharByteWidth maps
/// the target + string kind to the appropriate CharByteWidth.
unsigned CharByteWidth : 3;
unsigned IsPascal : 1;
/// The number of concatenated token this string is made of.
/// This is the number of trailing SourceLocation.
unsigned NumConcatenated;
};
class CharacterLiteralBitfields {
friend class CharacterLiteral;
unsigned : NumExprBits;
unsigned Kind : 3;
};
class UnaryOperatorBitfields {
friend class UnaryOperator;
unsigned : NumExprBits;
unsigned Opc : 5;
unsigned CanOverflow : 1;
SourceLocation Loc;
};
class UnaryExprOrTypeTraitExprBitfields {
friend class UnaryExprOrTypeTraitExpr;
unsigned : NumExprBits;
unsigned Kind : 3;
unsigned IsType : 1; // true if operand is a type, false if an expression.
};
class ArraySubscriptExprBitfields {
friend class ArraySubscriptExpr;
unsigned : NumExprBits;
SourceLocation RBracketLoc;
};
class CallExprBitfields {
friend class CallExpr;
unsigned : NumExprBits;
unsigned NumPreArgs : 1;
/// True if the callee of the call expression was found using ADL.
unsigned UsesADL : 1;
/// Padding used to align OffsetToTrailingObjects to a byte multiple.
unsigned : 24 - 2 - NumExprBits;
/// The offset in bytes from the this pointer to the start of the
/// trailing objects belonging to CallExpr. Intentionally byte sized
/// for faster access.
unsigned OffsetToTrailingObjects : 8;
};
enum { NumCallExprBits = 32 };
class MemberExprBitfields {
friend class MemberExpr;
unsigned : NumExprBits;
/// IsArrow - True if this is "X->F", false if this is "X.F".
unsigned IsArrow : 1;
/// True if this member expression used a nested-name-specifier to
/// refer to the member, e.g., "x->Base::f", or found its member via
/// a using declaration. When true, a MemberExprNameQualifier
/// structure is allocated immediately after the MemberExpr.
unsigned HasQualifierOrFoundDecl : 1;
/// True if this member expression specified a template keyword
/// and/or a template argument list explicitly, e.g., x->f<int>,
/// x->template f, x->template f<int>.
/// When true, an ASTTemplateKWAndArgsInfo structure and its
/// TemplateArguments (if any) are present.
unsigned HasTemplateKWAndArgsInfo : 1;
/// True if this member expression refers to a method that
/// was resolved from an overloaded set having size greater than 1.
unsigned HadMultipleCandidates : 1;
/// This is the location of the -> or . in the expression.
SourceLocation OperatorLoc;
};
class CastExprBitfields {
friend class CastExpr;
friend class ImplicitCastExpr;
unsigned : NumExprBits;
unsigned Kind : 6;
unsigned PartOfExplicitCast : 1; // Only set for ImplicitCastExpr.
/// The number of CXXBaseSpecifiers in the cast. 14 bits would be enough
/// here. ([implimits] Direct and indirect base classes [16384]).
unsigned BasePathSize;
};
class BinaryOperatorBitfields {
friend class BinaryOperator;
unsigned : NumExprBits;
unsigned Opc : 6;
/// This is only meaningful for operations on floating point
/// types and 0 otherwise.
unsigned FPFeatures : 3;
SourceLocation OpLoc;
};
class InitListExprBitfields {
friend class InitListExpr;
unsigned : NumExprBits;
/// Whether this initializer list originally had a GNU array-range
/// designator in it. This is a temporary marker used by CodeGen.
unsigned HadArrayRangeDesignator : 1;
};
class ParenListExprBitfields {
friend class ASTStmtReader;
friend class ParenListExpr;
unsigned : NumExprBits;
/// The number of expressions in the paren list.
unsigned NumExprs;
};
class GenericSelectionExprBitfields {
friend class ASTStmtReader;
friend class GenericSelectionExpr;
unsigned : NumExprBits;
/// The location of the "_Generic".
SourceLocation GenericLoc;
};
class PseudoObjectExprBitfields {
friend class ASTStmtReader; // deserialization
friend class PseudoObjectExpr;
unsigned : NumExprBits;
// These don't need to be particularly wide, because they're
// strictly limited by the forms of expressions we permit.
unsigned NumSubExprs : 8;
unsigned ResultIndex : 32 - 8 - NumExprBits;
};
class SourceLocExprBitfields {
friend class ASTStmtReader;
friend class SourceLocExpr;
unsigned : NumExprBits;
/// The kind of source location builtin represented by the SourceLocExpr.
/// Ex. __builtin_LINE, __builtin_FUNCTION, ect.
unsigned Kind : 2;
};
//===--- C++ Expression bitfields classes ---===//
class CXXOperatorCallExprBitfields {
friend class ASTStmtReader;
friend class CXXOperatorCallExpr;
unsigned : NumCallExprBits;
/// The kind of this overloaded operator. One of the enumerator
/// value of OverloadedOperatorKind.
unsigned OperatorKind : 6;
// Only meaningful for floating point types.
unsigned FPFeatures : 3;
};
class CXXBoolLiteralExprBitfields {
friend class CXXBoolLiteralExpr;
unsigned : NumExprBits;
/// The value of the boolean literal.
unsigned Value : 1;
/// The location of the boolean literal.
SourceLocation Loc;
};
class CXXNullPtrLiteralExprBitfields {
friend class CXXNullPtrLiteralExpr;
unsigned : NumExprBits;
/// The location of the null pointer literal.
SourceLocation Loc;
};
class CXXThisExprBitfields {
friend class CXXThisExpr;
unsigned : NumExprBits;
/// Whether this is an implicit "this".
unsigned IsImplicit : 1;
/// The location of the "this".
SourceLocation Loc;
};
class CXXThrowExprBitfields {
friend class ASTStmtReader;
friend class CXXThrowExpr;
unsigned : NumExprBits;
/// Whether the thrown variable (if any) is in scope.
unsigned IsThrownVariableInScope : 1;
/// The location of the "throw".
SourceLocation ThrowLoc;
};
class CXXDefaultArgExprBitfields {
friend class ASTStmtReader;
friend class CXXDefaultArgExpr;
unsigned : NumExprBits;
/// The location where the default argument expression was used.
SourceLocation Loc;
};
class CXXDefaultInitExprBitfields {
friend class ASTStmtReader;
friend class CXXDefaultInitExpr;
unsigned : NumExprBits;
/// The location where the default initializer expression was used.
SourceLocation Loc;
};
class CXXScalarValueInitExprBitfields {
friend class ASTStmtReader;
friend class CXXScalarValueInitExpr;
unsigned : NumExprBits;
SourceLocation RParenLoc;
};
class CXXNewExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class CXXNewExpr;
unsigned : NumExprBits;
/// Was the usage ::new, i.e. is the global new to be used?
unsigned IsGlobalNew : 1;
/// Do we allocate an array? If so, the first trailing "Stmt *" is the
/// size expression.
unsigned IsArray : 1;
/// Should the alignment be passed to the allocation function?
unsigned ShouldPassAlignment : 1;
/// If this is an array allocation, does the usual deallocation
/// function for the allocated type want to know the allocated size?
unsigned UsualArrayDeleteWantsSize : 1;
/// What kind of initializer do we have? Could be none, parens, or braces.
/// In storage, we distinguish between "none, and no initializer expr", and
/// "none, but an implicit initializer expr".
unsigned StoredInitializationStyle : 2;
/// True if the allocated type was expressed as a parenthesized type-id.
unsigned IsParenTypeId : 1;
/// The number of placement new arguments.
unsigned NumPlacementArgs;
};
class CXXDeleteExprBitfields {
friend class ASTStmtReader;
friend class CXXDeleteExpr;
unsigned : NumExprBits;
/// Is this a forced global delete, i.e. "::delete"?
unsigned GlobalDelete : 1;
/// Is this the array form of delete, i.e. "delete[]"?
unsigned ArrayForm : 1;
/// ArrayFormAsWritten can be different from ArrayForm if 'delete' is
/// applied to pointer-to-array type (ArrayFormAsWritten will be false
/// while ArrayForm will be true).
unsigned ArrayFormAsWritten : 1;
/// Does the usual deallocation function for the element type require
/// a size_t argument?
unsigned UsualArrayDeleteWantsSize : 1;
/// Location of the expression.
SourceLocation Loc;
};
class TypeTraitExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class TypeTraitExpr;
unsigned : NumExprBits;
/// The kind of type trait, which is a value of a TypeTrait enumerator.
unsigned Kind : 8;
/// If this expression is not value-dependent, this indicates whether
/// the trait evaluated true or false.
unsigned Value : 1;
/// The number of arguments to this type trait.
unsigned NumArgs : 32 - 8 - 1 - NumExprBits;
};
class DependentScopeDeclRefExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class DependentScopeDeclRefExpr;
unsigned : NumExprBits;
/// Whether the name includes info for explicit template
/// keyword and arguments.
unsigned HasTemplateKWAndArgsInfo : 1;
};
class CXXConstructExprBitfields {
friend class ASTStmtReader;
friend class CXXConstructExpr;
unsigned : NumExprBits;
unsigned Elidable : 1;
unsigned HadMultipleCandidates : 1;
unsigned ListInitialization : 1;
unsigned StdInitListInitialization : 1;
unsigned ZeroInitialization : 1;
unsigned ConstructionKind : 3;
SourceLocation Loc;
};
class ExprWithCleanupsBitfields {
friend class ASTStmtReader; // deserialization
friend class ExprWithCleanups;
unsigned : NumExprBits;
// When false, it must not have side effects.
unsigned CleanupsHaveSideEffects : 1;
unsigned NumObjects : 32 - 1 - NumExprBits;
};
class CXXUnresolvedConstructExprBitfields {
friend class ASTStmtReader;
friend class CXXUnresolvedConstructExpr;
unsigned : NumExprBits;
/// The number of arguments used to construct the type.
unsigned NumArgs;
};
class CXXDependentScopeMemberExprBitfields {
friend class ASTStmtReader;
friend class CXXDependentScopeMemberExpr;
unsigned : NumExprBits;
/// Whether this member expression used the '->' operator or
/// the '.' operator.
unsigned IsArrow : 1;
/// Whether this member expression has info for explicit template
/// keyword and arguments.
unsigned HasTemplateKWAndArgsInfo : 1;
/// See getFirstQualifierFoundInScope() and the comment listing
/// the trailing objects.
unsigned HasFirstQualifierFoundInScope : 1;
/// The location of the '->' or '.' operator.
SourceLocation OperatorLoc;
};
class OverloadExprBitfields {
friend class ASTStmtReader;
friend class OverloadExpr;
unsigned : NumExprBits;
/// Whether the name includes info for explicit template
/// keyword and arguments.
unsigned HasTemplateKWAndArgsInfo : 1;
/// Padding used by the derived classes to store various bits. If you
/// need to add some data here, shrink this padding and add your data
/// above. NumOverloadExprBits also needs to be updated.
unsigned : 32 - NumExprBits - 1;
/// The number of results.
unsigned NumResults;
};
enum { NumOverloadExprBits = NumExprBits + 1 };
class UnresolvedLookupExprBitfields {
friend class ASTStmtReader;
friend class UnresolvedLookupExpr;
unsigned : NumOverloadExprBits;
/// True if these lookup results should be extended by
/// argument-dependent lookup if this is the operand of a function call.
unsigned RequiresADL : 1;
/// True if these lookup results are overloaded. This is pretty trivially
/// rederivable if we urgently need to kill this field.
unsigned Overloaded : 1;
};
static_assert(sizeof(UnresolvedLookupExprBitfields) <= 4,
"UnresolvedLookupExprBitfields must be <= than 4 bytes to"
"avoid trashing OverloadExprBitfields::NumResults!");
class UnresolvedMemberExprBitfields {
friend class ASTStmtReader;
friend class UnresolvedMemberExpr;
unsigned : NumOverloadExprBits;
/// Whether this member expression used the '->' operator or
/// the '.' operator.
unsigned IsArrow : 1;
/// Whether the lookup results contain an unresolved using declaration.
unsigned HasUnresolvedUsing : 1;
};
static_assert(sizeof(UnresolvedMemberExprBitfields) <= 4,
"UnresolvedMemberExprBitfields must be <= than 4 bytes to"
"avoid trashing OverloadExprBitfields::NumResults!");
class CXXNoexceptExprBitfields {
friend class ASTStmtReader;
friend class CXXNoexceptExpr;
unsigned : NumExprBits;
unsigned Value : 1;
};
class SubstNonTypeTemplateParmExprBitfields {
friend class ASTStmtReader;
friend class SubstNonTypeTemplateParmExpr;
unsigned : NumExprBits;
/// The location of the non-type template parameter reference.
SourceLocation NameLoc;
};
//===--- C++ Coroutines TS bitfields classes ---===//
class CoawaitExprBitfields {
friend class CoawaitExpr;
unsigned : NumExprBits;
unsigned IsImplicit : 1;
};
//===--- Obj-C Expression bitfields classes ---===//
class ObjCIndirectCopyRestoreExprBitfields {
friend class ObjCIndirectCopyRestoreExpr;
unsigned : NumExprBits;
unsigned ShouldCopy : 1;
};
//===--- Clang Extensions bitfields classes ---===//
class OpaqueValueExprBitfields {
friend class ASTStmtReader;
friend class OpaqueValueExpr;
unsigned : NumExprBits;
/// The OVE is a unique semantic reference to its source expression if this
/// bit is set to true.
unsigned IsUnique : 1;
SourceLocation Loc;
};
union {
// Same order as in StmtNodes.td.
// Statements
StmtBitfields StmtBits;
NullStmtBitfields NullStmtBits;
CompoundStmtBitfields CompoundStmtBits;
LabelStmtBitfields LabelStmtBits;
AttributedStmtBitfields AttributedStmtBits;
IfStmtBitfields IfStmtBits;
SwitchStmtBitfields SwitchStmtBits;
WhileStmtBitfields WhileStmtBits;
DoStmtBitfields DoStmtBits;
ForStmtBitfields ForStmtBits;
GotoStmtBitfields GotoStmtBits;
ContinueStmtBitfields ContinueStmtBits;
BreakStmtBitfields BreakStmtBits;
ReturnStmtBitfields ReturnStmtBits;
SwitchCaseBitfields SwitchCaseBits;
// Expressions
ExprBitfields ExprBits;
PredefinedExprBitfields PredefinedExprBits;
DeclRefExprBitfields DeclRefExprBits;
FloatingLiteralBitfields FloatingLiteralBits;
StringLiteralBitfields StringLiteralBits;
CharacterLiteralBitfields CharacterLiteralBits;
UnaryOperatorBitfields UnaryOperatorBits;
UnaryExprOrTypeTraitExprBitfields UnaryExprOrTypeTraitExprBits;
ArraySubscriptExprBitfields ArraySubscriptExprBits;
CallExprBitfields CallExprBits;
MemberExprBitfields MemberExprBits;
CastExprBitfields CastExprBits;
BinaryOperatorBitfields BinaryOperatorBits;
InitListExprBitfields InitListExprBits;
ParenListExprBitfields ParenListExprBits;
GenericSelectionExprBitfields GenericSelectionExprBits;
PseudoObjectExprBitfields PseudoObjectExprBits;
SourceLocExprBitfields SourceLocExprBits;
// C++ Expressions
CXXOperatorCallExprBitfields CXXOperatorCallExprBits;
CXXBoolLiteralExprBitfields CXXBoolLiteralExprBits;
CXXNullPtrLiteralExprBitfields CXXNullPtrLiteralExprBits;
CXXThisExprBitfields CXXThisExprBits;
CXXThrowExprBitfields CXXThrowExprBits;
CXXDefaultArgExprBitfields CXXDefaultArgExprBits;
CXXDefaultInitExprBitfields CXXDefaultInitExprBits;
CXXScalarValueInitExprBitfields CXXScalarValueInitExprBits;
CXXNewExprBitfields CXXNewExprBits;
CXXDeleteExprBitfields CXXDeleteExprBits;
TypeTraitExprBitfields TypeTraitExprBits;
DependentScopeDeclRefExprBitfields DependentScopeDeclRefExprBits;
CXXConstructExprBitfields CXXConstructExprBits;
ExprWithCleanupsBitfields ExprWithCleanupsBits;
CXXUnresolvedConstructExprBitfields CXXUnresolvedConstructExprBits;
CXXDependentScopeMemberExprBitfields CXXDependentScopeMemberExprBits;
OverloadExprBitfields OverloadExprBits;
UnresolvedLookupExprBitfields UnresolvedLookupExprBits;
UnresolvedMemberExprBitfields UnresolvedMemberExprBits;
CXXNoexceptExprBitfields CXXNoexceptExprBits;
SubstNonTypeTemplateParmExprBitfields SubstNonTypeTemplateParmExprBits;
// C++ Coroutines TS expressions
CoawaitExprBitfields CoawaitBits;
// Obj-C Expressions
ObjCIndirectCopyRestoreExprBitfields ObjCIndirectCopyRestoreExprBits;
// Clang Extensions
OpaqueValueExprBitfields OpaqueValueExprBits;
};
public:
// Only allow allocation of Stmts using the allocator in ASTContext
// or by doing a placement new.
void* operator new(size_t bytes, const ASTContext& C,
unsigned alignment = 8);
void* operator new(size_t bytes, const ASTContext* C,
unsigned alignment = 8) {
return operator new(bytes, *C, alignment);
}
void *operator new(size_t bytes, void *mem) noexcept { return mem; }
void operator delete(void *, const ASTContext &, unsigned) noexcept {}
void operator delete(void *, const ASTContext *, unsigned) noexcept {}
void operator delete(void *, size_t) noexcept {}
void operator delete(void *, void *) noexcept {}
public:
/// A placeholder type used to construct an empty shell of a
/// type, that will be filled in later (e.g., by some
/// de-serialization).
struct EmptyShell {};
protected:
/// Iterator for iterating over Stmt * arrays that contain only T *.
///
/// This is needed because AST nodes use Stmt* arrays to store
/// references to children (to be compatible with StmtIterator).
template<typename T, typename TPtr = T *, typename StmtPtr = Stmt *>
struct CastIterator
: llvm::iterator_adaptor_base<CastIterator<T, TPtr, StmtPtr>, StmtPtr *,
std::random_access_iterator_tag, TPtr> {
using Base = typename CastIterator::iterator_adaptor_base;
CastIterator() : Base(nullptr) {}
CastIterator(StmtPtr *I) : Base(I) {}
typename Base::value_type operator*() const {
return cast_or_null<T>(*this->I);
}
};
/// Const iterator for iterating over Stmt * arrays that contain only T *.
template <typename T>
using ConstCastIterator = CastIterator<T, const T *const, const Stmt *const>;
using ExprIterator = CastIterator<Expr>;
using ConstExprIterator = ConstCastIterator<Expr>;
private:
/// Whether statistic collection is enabled.
static bool StatisticsEnabled;
protected:
/// Construct an empty statement.
explicit Stmt(StmtClass SC, EmptyShell) : Stmt(SC) {}
public:
Stmt(StmtClass SC) {
static_assert(sizeof(*this) <= 8,
"changing bitfields changed sizeof(Stmt)");
static_assert(sizeof(*this) % alignof(void *) == 0,
"Insufficient alignment!");
StmtBits.sClass = SC;
StmtBits.IsOMPStructuredBlock = false;
if (StatisticsEnabled) Stmt::addStmtClass(SC);
}
StmtClass getStmtClass() const {
return static_cast<StmtClass>(StmtBits.sClass);
}
Stmt(const Stmt &) = delete;
Stmt(Stmt &&) = delete;
Stmt &operator=(const Stmt &) = delete;
Stmt &operator=(Stmt &&) = delete;
const char *getStmtClassName() const;
bool isOMPStructuredBlock() const { return StmtBits.IsOMPStructuredBlock; }
void setIsOMPStructuredBlock(bool IsOMPStructuredBlock) {
StmtBits.IsOMPStructuredBlock = IsOMPStructuredBlock;
}
/// SourceLocation tokens are not useful in isolation - they are low level
/// value objects created/interpreted by SourceManager. We assume AST
/// clients will have a pointer to the respective SourceManager.
SourceRange getSourceRange() const LLVM_READONLY;
SourceLocation getBeginLoc() const LLVM_READONLY;
SourceLocation getEndLoc() const LLVM_READONLY;
// global temp stats (until we have a per-module visitor)
static void addStmtClass(const StmtClass s);
static void EnableStatistics();
static void PrintStats();
/// Dumps the specified AST fragment and all subtrees to
/// \c llvm::errs().
void dump() const;
void dump(SourceManager &SM) const;
void dump(raw_ostream &OS, SourceManager &SM) const;
void dump(raw_ostream &OS) const;
/// \return Unique reproducible object identifier
int64_t getID(const ASTContext &Context) const;
/// dumpColor - same as dump(), but forces color highlighting.
void dumpColor() const;
/// dumpPretty/printPretty - These two methods do a "pretty print" of the AST
/// back to its original source language syntax.
void dumpPretty(const ASTContext &Context) const;
void printPretty(raw_ostream &OS, PrinterHelper *Helper,
const PrintingPolicy &Policy, unsigned Indentation = 0,
StringRef NewlineSymbol = "\n",
const ASTContext *Context = nullptr) const;
/// viewAST - Visualize an AST rooted at this Stmt* using GraphViz. Only
/// works on systems with GraphViz (Mac OS X) or dot+gv installed.
void viewAST() const;
/// Skip no-op (attributed, compound) container stmts and skip captured
/// stmt at the top, if \a IgnoreCaptured is true.
Stmt *IgnoreContainers(bool IgnoreCaptured = false);
const Stmt *IgnoreContainers(bool IgnoreCaptured = false) const {
return const_cast<Stmt *>(this)->IgnoreContainers(IgnoreCaptured);
}
const Stmt *stripLabelLikeStatements() const;
Stmt *stripLabelLikeStatements() {
return const_cast<Stmt*>(
const_cast<const Stmt*>(this)->stripLabelLikeStatements());
}
/// Child Iterators: All subclasses must implement 'children'
/// to permit easy iteration over the substatements/subexpessions of an
/// AST node. This permits easy iteration over all nodes in the AST.
using child_iterator = StmtIterator;
using const_child_iterator = ConstStmtIterator;
using child_range = llvm::iterator_range<child_iterator>;
using const_child_range = llvm::iterator_range<const_child_iterator>;
child_range children();
const_child_range children() const {
auto Children = const_cast<Stmt *>(this)->children();
return const_child_range(Children.begin(), Children.end());
}
child_iterator child_begin() { return children().begin(); }
child_iterator child_end() { return children().end(); }
const_child_iterator child_begin() const { return children().begin(); }
const_child_iterator child_end() const { return children().end(); }
/// Produce a unique representation of the given statement.
///
/// \param ID once the profiling operation is complete, will contain
/// the unique representation of the given statement.
///
/// \param Context the AST context in which the statement resides
///
/// \param Canonical whether the profile should be based on the canonical
/// representation of this statement (e.g., where non-type template
/// parameters are identified by index/level rather than their
/// declaration pointers) or the exact representation of the statement as
/// written in the source.
void Profile(llvm::FoldingSetNodeID &ID, const ASTContext &Context,
bool Canonical) const;
/// Calculate a unique representation for a statement that is
/// stable across compiler invocations.
///
/// \param ID profile information will be stored in ID.
///
/// \param Hash an ODRHash object which will be called where pointers would
/// have been used in the Profile function.
void ProcessODRHash(llvm::FoldingSetNodeID &ID, ODRHash& Hash) const;
};
/// DeclStmt - Adaptor class for mixing declarations with statements and
/// expressions. For example, CompoundStmt mixes statements, expressions
/// and declarations (variables, types). Another example is ForStmt, where
/// the first statement can be an expression or a declaration.
class DeclStmt : public Stmt {
DeclGroupRef DG;
SourceLocation StartLoc, EndLoc;
public:
DeclStmt(DeclGroupRef dg, SourceLocation startLoc, SourceLocation endLoc)
: Stmt(DeclStmtClass), DG(dg), StartLoc(startLoc), EndLoc(endLoc) {}
/// Build an empty declaration statement.
explicit DeclStmt(EmptyShell Empty) : Stmt(DeclStmtClass, Empty) {}
/// isSingleDecl - This method returns true if this DeclStmt refers
/// to a single Decl.
bool isSingleDecl() const { return DG.isSingleDecl(); }
const Decl *getSingleDecl() const { return DG.getSingleDecl(); }
Decl *getSingleDecl() { return DG.getSingleDecl(); }
const DeclGroupRef getDeclGroup() const { return DG; }
DeclGroupRef getDeclGroup() { return DG; }
void setDeclGroup(DeclGroupRef DGR) { DG = DGR; }
void setStartLoc(SourceLocation L) { StartLoc = L; }
SourceLocation getEndLoc() const { return EndLoc; }
void setEndLoc(SourceLocation L) { EndLoc = L; }
SourceLocation getBeginLoc() const LLVM_READONLY { return StartLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == DeclStmtClass;
}
// Iterators over subexpressions.
child_range children() {
return child_range(child_iterator(DG.begin(), DG.end()),
child_iterator(DG.end(), DG.end()));
}
const_child_range children() const {
auto Children = const_cast<DeclStmt *>(this)->children();
return const_child_range(Children);
}
using decl_iterator = DeclGroupRef::iterator;
using const_decl_iterator = DeclGroupRef::const_iterator;
using decl_range = llvm::iterator_range<decl_iterator>;
using decl_const_range = llvm::iterator_range<const_decl_iterator>;
decl_range decls() { return decl_range(decl_begin(), decl_end()); }
decl_const_range decls() const {
return decl_const_range(decl_begin(), decl_end());
}
decl_iterator decl_begin() { return DG.begin(); }
decl_iterator decl_end() { return DG.end(); }
const_decl_iterator decl_begin() const { return DG.begin(); }
const_decl_iterator decl_end() const { return DG.end(); }
using reverse_decl_iterator = std::reverse_iterator<decl_iterator>;
reverse_decl_iterator decl_rbegin() {
return reverse_decl_iterator(decl_end());
}
reverse_decl_iterator decl_rend() {
return reverse_decl_iterator(decl_begin());
}
};
/// NullStmt - This is the null statement ";": C99 6.8.3p3.
///
class NullStmt : public Stmt {
public:
NullStmt(SourceLocation L, bool hasLeadingEmptyMacro = false)
: Stmt(NullStmtClass) {
NullStmtBits.HasLeadingEmptyMacro = hasLeadingEmptyMacro;
setSemiLoc(L);
}
/// Build an empty null statement.
explicit NullStmt(EmptyShell Empty) : Stmt(NullStmtClass, Empty) {}
SourceLocation getSemiLoc() const { return NullStmtBits.SemiLoc; }
void setSemiLoc(SourceLocation L) { NullStmtBits.SemiLoc = L; }
bool hasLeadingEmptyMacro() const {
return NullStmtBits.HasLeadingEmptyMacro;
}
SourceLocation getBeginLoc() const { return getSemiLoc(); }
SourceLocation getEndLoc() const { return getSemiLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == NullStmtClass;
}
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// CompoundStmt - This represents a group of statements like { stmt stmt }.
class CompoundStmt final : public Stmt,
private llvm::TrailingObjects<CompoundStmt, Stmt *> {
friend class ASTStmtReader;
friend TrailingObjects;
/// The location of the closing "}". LBraceLoc is stored in CompoundStmtBits.
SourceLocation RBraceLoc;
CompoundStmt(ArrayRef<Stmt *> Stmts, SourceLocation LB, SourceLocation RB);
explicit CompoundStmt(EmptyShell Empty) : Stmt(CompoundStmtClass, Empty) {}
void setStmts(ArrayRef<Stmt *> Stmts);
public:
static CompoundStmt *Create(const ASTContext &C, ArrayRef<Stmt *> Stmts,
SourceLocation LB, SourceLocation RB);
// Build an empty compound statement with a location.
explicit CompoundStmt(SourceLocation Loc)
: Stmt(CompoundStmtClass), RBraceLoc(Loc) {
CompoundStmtBits.NumStmts = 0;
CompoundStmtBits.LBraceLoc = Loc;
}
// Build an empty compound statement.
static CompoundStmt *CreateEmpty(const ASTContext &C, unsigned NumStmts);
bool body_empty() const { return CompoundStmtBits.NumStmts == 0; }
unsigned size() const { return CompoundStmtBits.NumStmts; }
using body_iterator = Stmt **;
using body_range = llvm::iterator_range<body_iterator>;
body_range body() { return body_range(body_begin(), body_end()); }
body_iterator body_begin() { return getTrailingObjects<Stmt *>(); }
body_iterator body_end() { return body_begin() + size(); }
Stmt *body_front() { return !body_empty() ? body_begin()[0] : nullptr; }
Stmt *body_back() {
return !body_empty() ? body_begin()[size() - 1] : nullptr;
}
void setLastStmt(Stmt *S) {
assert(!body_empty() && "setLastStmt");
body_begin()[size() - 1] = S;
}
using const_body_iterator = Stmt *const *;
using body_const_range = llvm::iterator_range<const_body_iterator>;
body_const_range body() const {
return body_const_range(body_begin(), body_end());
}
const_body_iterator body_begin() const {
return getTrailingObjects<Stmt *>();
}
const_body_iterator body_end() const { return body_begin() + size(); }
const Stmt *body_front() const {
return !body_empty() ? body_begin()[0] : nullptr;
}
const Stmt *body_back() const {
return !body_empty() ? body_begin()[size() - 1] : nullptr;
}
using reverse_body_iterator = std::reverse_iterator<body_iterator>;
reverse_body_iterator body_rbegin() {
return reverse_body_iterator(body_end());
}
reverse_body_iterator body_rend() {
return reverse_body_iterator(body_begin());
}
using const_reverse_body_iterator =
std::reverse_iterator<const_body_iterator>;
const_reverse_body_iterator body_rbegin() const {
return const_reverse_body_iterator(body_end());
}
const_reverse_body_iterator body_rend() const {
return const_reverse_body_iterator(body_begin());
}
SourceLocation getBeginLoc() const { return CompoundStmtBits.LBraceLoc; }
SourceLocation getEndLoc() const { return RBraceLoc; }
SourceLocation getLBracLoc() const { return CompoundStmtBits.LBraceLoc; }
SourceLocation getRBracLoc() const { return RBraceLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == CompoundStmtClass;
}
// Iterators
child_range children() { return child_range(body_begin(), body_end()); }
const_child_range children() const {
return const_child_range(body_begin(), body_end());
}
};
// SwitchCase is the base class for CaseStmt and DefaultStmt,
class SwitchCase : public Stmt {
protected:
/// The location of the ":".
SourceLocation ColonLoc;
// The location of the "case" or "default" keyword. Stored in SwitchCaseBits.
// SourceLocation KeywordLoc;
/// A pointer to the following CaseStmt or DefaultStmt class,
/// used by SwitchStmt.
SwitchCase *NextSwitchCase = nullptr;
SwitchCase(StmtClass SC, SourceLocation KWLoc, SourceLocation ColonLoc)
: Stmt(SC), ColonLoc(ColonLoc) {
setKeywordLoc(KWLoc);
}
SwitchCase(StmtClass SC, EmptyShell) : Stmt(SC) {}
public:
const SwitchCase *getNextSwitchCase() const { return NextSwitchCase; }
SwitchCase *getNextSwitchCase() { return NextSwitchCase; }
void setNextSwitchCase(SwitchCase *SC) { NextSwitchCase = SC; }
SourceLocation getKeywordLoc() const { return SwitchCaseBits.KeywordLoc; }
void setKeywordLoc(SourceLocation L) { SwitchCaseBits.KeywordLoc = L; }
SourceLocation getColonLoc() const { return ColonLoc; }
void setColonLoc(SourceLocation L) { ColonLoc = L; }
inline Stmt *getSubStmt();
const Stmt *getSubStmt() const {
return const_cast<SwitchCase *>(this)->getSubStmt();
}
SourceLocation getBeginLoc() const { return getKeywordLoc(); }
inline SourceLocation getEndLoc() const LLVM_READONLY;
static bool classof(const Stmt *T) {
return T->getStmtClass() == CaseStmtClass ||
T->getStmtClass() == DefaultStmtClass;
}
};
/// CaseStmt - Represent a case statement. It can optionally be a GNU case
/// statement of the form LHS ... RHS representing a range of cases.
class CaseStmt final
: public SwitchCase,
private llvm::TrailingObjects<CaseStmt, Stmt *, SourceLocation> {
friend TrailingObjects;
// CaseStmt is followed by several trailing objects, some of which optional.
// Note that it would be more convenient to put the optional trailing objects
// at the end but this would impact children().
// The trailing objects are in order:
//
// * A "Stmt *" for the LHS of the case statement. Always present.
//
// * A "Stmt *" for the RHS of the case statement. This is a GNU extension
// which allow ranges in cases statement of the form LHS ... RHS.
// Present if and only if caseStmtIsGNURange() is true.
//
// * A "Stmt *" for the substatement of the case statement. Always present.
//
// * A SourceLocation for the location of the ... if this is a case statement
// with a range. Present if and only if caseStmtIsGNURange() is true.
enum { LhsOffset = 0, SubStmtOffsetFromRhs = 1 };
enum { NumMandatoryStmtPtr = 2 };
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + caseStmtIsGNURange();
}
unsigned numTrailingObjects(OverloadToken<SourceLocation>) const {
return caseStmtIsGNURange();
}
unsigned lhsOffset() const { return LhsOffset; }
unsigned rhsOffset() const { return LhsOffset + caseStmtIsGNURange(); }
unsigned subStmtOffset() const { return rhsOffset() + SubStmtOffsetFromRhs; }
/// Build a case statement assuming that the storage for the
/// trailing objects has been properly allocated.
CaseStmt(Expr *lhs, Expr *rhs, SourceLocation caseLoc,
SourceLocation ellipsisLoc, SourceLocation colonLoc)
: SwitchCase(CaseStmtClass, caseLoc, colonLoc) {
// Handle GNU case statements of the form LHS ... RHS.
bool IsGNURange = rhs != nullptr;
SwitchCaseBits.CaseStmtIsGNURange = IsGNURange;
setLHS(lhs);
setSubStmt(nullptr);
if (IsGNURange) {
setRHS(rhs);
setEllipsisLoc(ellipsisLoc);
}
}
/// Build an empty switch case statement.
explicit CaseStmt(EmptyShell Empty, bool CaseStmtIsGNURange)
: SwitchCase(CaseStmtClass, Empty) {
SwitchCaseBits.CaseStmtIsGNURange = CaseStmtIsGNURange;
}
public:
/// Build a case statement.
static CaseStmt *Create(const ASTContext &Ctx, Expr *lhs, Expr *rhs,
SourceLocation caseLoc, SourceLocation ellipsisLoc,
SourceLocation colonLoc);
/// Build an empty case statement.
static CaseStmt *CreateEmpty(const ASTContext &Ctx, bool CaseStmtIsGNURange);
/// True if this case statement is of the form case LHS ... RHS, which
/// is a GNU extension. In this case the RHS can be obtained with getRHS()
/// and the location of the ellipsis can be obtained with getEllipsisLoc().
bool caseStmtIsGNURange() const { return SwitchCaseBits.CaseStmtIsGNURange; }
SourceLocation getCaseLoc() const { return getKeywordLoc(); }
void setCaseLoc(SourceLocation L) { setKeywordLoc(L); }
/// Get the location of the ... in a case statement of the form LHS ... RHS.
SourceLocation getEllipsisLoc() const {
return caseStmtIsGNURange() ? *getTrailingObjects<SourceLocation>()
: SourceLocation();
}
/// Set the location of the ... in a case statement of the form LHS ... RHS.
/// Assert that this case statement is of this form.
void setEllipsisLoc(SourceLocation L) {
assert(
caseStmtIsGNURange() &&
"setEllipsisLoc but this is not a case stmt of the form LHS ... RHS!");
*getTrailingObjects<SourceLocation>() = L;
}
Expr *getLHS() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[lhsOffset()]);
}
const Expr *getLHS() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[lhsOffset()]);
}
void setLHS(Expr *Val) {
getTrailingObjects<Stmt *>()[lhsOffset()] = reinterpret_cast<Stmt *>(Val);
}
Expr *getRHS() {
return caseStmtIsGNURange() ? reinterpret_cast<Expr *>(
getTrailingObjects<Stmt *>()[rhsOffset()])
: nullptr;
}
const Expr *getRHS() const {
return caseStmtIsGNURange() ? reinterpret_cast<Expr *>(
getTrailingObjects<Stmt *>()[rhsOffset()])
: nullptr;
}
void setRHS(Expr *Val) {
assert(caseStmtIsGNURange() &&
"setRHS but this is not a case stmt of the form LHS ... RHS!");
getTrailingObjects<Stmt *>()[rhsOffset()] = reinterpret_cast<Stmt *>(Val);
}
Stmt *getSubStmt() { return getTrailingObjects<Stmt *>()[subStmtOffset()]; }
const Stmt *getSubStmt() const {
return getTrailingObjects<Stmt *>()[subStmtOffset()];
}
void setSubStmt(Stmt *S) {
getTrailingObjects<Stmt *>()[subStmtOffset()] = S;
}
SourceLocation getBeginLoc() const { return getKeywordLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
// Handle deeply nested case statements with iteration instead of recursion.
const CaseStmt *CS = this;
while (const auto *CS2 = dyn_cast<CaseStmt>(CS->getSubStmt()))
CS = CS2;
return CS->getSubStmt()->getEndLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == CaseStmtClass;
}
// Iterators
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
};
class DefaultStmt : public SwitchCase {
Stmt *SubStmt;
public:
DefaultStmt(SourceLocation DL, SourceLocation CL, Stmt *substmt)
: SwitchCase(DefaultStmtClass, DL, CL), SubStmt(substmt) {}
/// Build an empty default statement.
explicit DefaultStmt(EmptyShell Empty)
: SwitchCase(DefaultStmtClass, Empty) {}
Stmt *getSubStmt() { return SubStmt; }
const Stmt *getSubStmt() const { return SubStmt; }
void setSubStmt(Stmt *S) { SubStmt = S; }
SourceLocation getDefaultLoc() const { return getKeywordLoc(); }
void setDefaultLoc(SourceLocation L) { setKeywordLoc(L); }
SourceLocation getBeginLoc() const { return getKeywordLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return SubStmt->getEndLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == DefaultStmtClass;
}
// Iterators
child_range children() { return child_range(&SubStmt, &SubStmt + 1); }
const_child_range children() const {
return const_child_range(&SubStmt, &SubStmt + 1);
}
};
SourceLocation SwitchCase::getEndLoc() const {
if (const auto *CS = dyn_cast<CaseStmt>(this))
return CS->getEndLoc();
else if (const auto *DS = dyn_cast<DefaultStmt>(this))
return DS->getEndLoc();
llvm_unreachable("SwitchCase is neither a CaseStmt nor a DefaultStmt!");
}
Stmt *SwitchCase::getSubStmt() {
if (auto *CS = dyn_cast<CaseStmt>(this))
return CS->getSubStmt();
else if (auto *DS = dyn_cast<DefaultStmt>(this))
return DS->getSubStmt();
llvm_unreachable("SwitchCase is neither a CaseStmt nor a DefaultStmt!");
}
/// Represents a statement that could possibly have a value and type. This
/// covers expression-statements, as well as labels and attributed statements.
///
/// Value statements have a special meaning when they are the last non-null
/// statement in a GNU statement expression, where they determine the value
/// of the statement expression.
class ValueStmt : public Stmt {
protected:
using Stmt::Stmt;
public:
const Expr *getExprStmt() const;
Expr *getExprStmt() {
const ValueStmt *ConstThis = this;
return const_cast<Expr*>(ConstThis->getExprStmt());
}
static bool classof(const Stmt *T) {
return T->getStmtClass() >= firstValueStmtConstant &&
T->getStmtClass() <= lastValueStmtConstant;
}
};
/// LabelStmt - Represents a label, which has a substatement. For example:
/// foo: return;
class LabelStmt : public ValueStmt {
LabelDecl *TheDecl;
Stmt *SubStmt;
public:
/// Build a label statement.
LabelStmt(SourceLocation IL, LabelDecl *D, Stmt *substmt)
: ValueStmt(LabelStmtClass), TheDecl(D), SubStmt(substmt) {
setIdentLoc(IL);
}
/// Build an empty label statement.
explicit LabelStmt(EmptyShell Empty) : ValueStmt(LabelStmtClass, Empty) {}
SourceLocation getIdentLoc() const { return LabelStmtBits.IdentLoc; }
void setIdentLoc(SourceLocation L) { LabelStmtBits.IdentLoc = L; }
LabelDecl *getDecl() const { return TheDecl; }
void setDecl(LabelDecl *D) { TheDecl = D; }
const char *getName() const;
Stmt *getSubStmt() { return SubStmt; }
const Stmt *getSubStmt() const { return SubStmt; }
void setSubStmt(Stmt *SS) { SubStmt = SS; }
SourceLocation getBeginLoc() const { return getIdentLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY { return SubStmt->getEndLoc();}
child_range children() { return child_range(&SubStmt, &SubStmt + 1); }
const_child_range children() const {
return const_child_range(&SubStmt, &SubStmt + 1);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == LabelStmtClass;
}
};
/// Represents an attribute applied to a statement.
///
/// Represents an attribute applied to a statement. For example:
/// [[omp::for(...)]] for (...) { ... }
class AttributedStmt final
: public ValueStmt,
private llvm::TrailingObjects<AttributedStmt, const Attr *> {
friend class ASTStmtReader;
friend TrailingObjects;
Stmt *SubStmt;
AttributedStmt(SourceLocation Loc, ArrayRef<const Attr *> Attrs,
Stmt *SubStmt)
: ValueStmt(AttributedStmtClass), SubStmt(SubStmt) {
AttributedStmtBits.NumAttrs = Attrs.size();
AttributedStmtBits.AttrLoc = Loc;
std::copy(Attrs.begin(), Attrs.end(), getAttrArrayPtr());
}
explicit AttributedStmt(EmptyShell Empty, unsigned NumAttrs)
: ValueStmt(AttributedStmtClass, Empty) {
AttributedStmtBits.NumAttrs = NumAttrs;
AttributedStmtBits.AttrLoc = SourceLocation{};
std::fill_n(getAttrArrayPtr(), NumAttrs, nullptr);
}
const Attr *const *getAttrArrayPtr() const {
return getTrailingObjects<const Attr *>();
}
const Attr **getAttrArrayPtr() { return getTrailingObjects<const Attr *>(); }
public:
static AttributedStmt *Create(const ASTContext &C, SourceLocation Loc,
ArrayRef<const Attr *> Attrs, Stmt *SubStmt);
// Build an empty attributed statement.
static AttributedStmt *CreateEmpty(const ASTContext &C, unsigned NumAttrs);
SourceLocation getAttrLoc() const { return AttributedStmtBits.AttrLoc; }
ArrayRef<const Attr *> getAttrs() const {
return llvm::makeArrayRef(getAttrArrayPtr(), AttributedStmtBits.NumAttrs);
}
Stmt *getSubStmt() { return SubStmt; }
const Stmt *getSubStmt() const { return SubStmt; }
SourceLocation getBeginLoc() const { return getAttrLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY { return SubStmt->getEndLoc();}
child_range children() { return child_range(&SubStmt, &SubStmt + 1); }
const_child_range children() const {
return const_child_range(&SubStmt, &SubStmt + 1);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == AttributedStmtClass;
}
};
/// IfStmt - This represents an if/then/else.
class IfStmt final
: public Stmt,
private llvm::TrailingObjects<IfStmt, Stmt *, SourceLocation> {
friend TrailingObjects;
// IfStmt is followed by several trailing objects, some of which optional.
// Note that it would be more convenient to put the optional trailing
// objects at then end but this would change the order of the children.
// The trailing objects are in order:
//
// * A "Stmt *" for the init statement.
// Present if and only if hasInitStorage().
//
// * A "Stmt *" for the condition variable.
// Present if and only if hasVarStorage(). This is in fact a "DeclStmt *".
//
// * A "Stmt *" for the condition.
// Always present. This is in fact a "Expr *".
//
// * A "Stmt *" for the then statement.
// Always present.
//
// * A "Stmt *" for the else statement.
// Present if and only if hasElseStorage().
//
// * A "SourceLocation" for the location of the "else".
// Present if and only if hasElseStorage().
enum { InitOffset = 0, ThenOffsetFromCond = 1, ElseOffsetFromCond = 2 };
enum { NumMandatoryStmtPtr = 2 };
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + hasElseStorage() + hasVarStorage() +
hasInitStorage();
}
unsigned numTrailingObjects(OverloadToken<SourceLocation>) const {
return hasElseStorage();
}
unsigned initOffset() const { return InitOffset; }
unsigned varOffset() const { return InitOffset + hasInitStorage(); }
unsigned condOffset() const {
return InitOffset + hasInitStorage() + hasVarStorage();
}
unsigned thenOffset() const { return condOffset() + ThenOffsetFromCond; }
unsigned elseOffset() const { return condOffset() + ElseOffsetFromCond; }
/// Build an if/then/else statement.
IfStmt(const ASTContext &Ctx, SourceLocation IL, bool IsConstexpr, Stmt *Init,
VarDecl *Var, Expr *Cond, Stmt *Then, SourceLocation EL, Stmt *Else);
/// Build an empty if/then/else statement.
explicit IfStmt(EmptyShell Empty, bool HasElse, bool HasVar, bool HasInit);
public:
/// Create an IfStmt.
static IfStmt *Create(const ASTContext &Ctx, SourceLocation IL,
bool IsConstexpr, Stmt *Init, VarDecl *Var, Expr *Cond,
Stmt *Then, SourceLocation EL = SourceLocation(),
Stmt *Else = nullptr);
/// Create an empty IfStmt optionally with storage for an else statement,
/// condition variable and init expression.
static IfStmt *CreateEmpty(const ASTContext &Ctx, bool HasElse, bool HasVar,
bool HasInit);
/// True if this IfStmt has the storage for an init statement.
bool hasInitStorage() const { return IfStmtBits.HasInit; }
/// True if this IfStmt has storage for a variable declaration.
bool hasVarStorage() const { return IfStmtBits.HasVar; }
/// True if this IfStmt has storage for an else statement.
bool hasElseStorage() const { return IfStmtBits.HasElse; }
Expr *getCond() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
const Expr *getCond() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
void setCond(Expr *Cond) {
getTrailingObjects<Stmt *>()[condOffset()] = reinterpret_cast<Stmt *>(Cond);
}
Stmt *getThen() { return getTrailingObjects<Stmt *>()[thenOffset()]; }
const Stmt *getThen() const {
return getTrailingObjects<Stmt *>()[thenOffset()];
}
void setThen(Stmt *Then) {
getTrailingObjects<Stmt *>()[thenOffset()] = Then;
}
Stmt *getElse() {
return hasElseStorage() ? getTrailingObjects<Stmt *>()[elseOffset()]
: nullptr;
}
const Stmt *getElse() const {
return hasElseStorage() ? getTrailingObjects<Stmt *>()[elseOffset()]
: nullptr;
}
void setElse(Stmt *Else) {
assert(hasElseStorage() &&
"This if statement has no storage for an else statement!");
getTrailingObjects<Stmt *>()[elseOffset()] = Else;
}
/// Retrieve the variable declared in this "if" statement, if any.
///
/// In the following example, "x" is the condition variable.
/// \code
/// if (int x = foo()) {
/// printf("x is %d", x);
/// }
/// \endcode
VarDecl *getConditionVariable();
const VarDecl *getConditionVariable() const {
return const_cast<IfStmt *>(this)->getConditionVariable();
}
/// Set the condition variable for this if statement.
/// The if statement must have storage for the condition variable.
void setConditionVariable(const ASTContext &Ctx, VarDecl *V);
/// If this IfStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
DeclStmt *getConditionVariableDeclStmt() {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
const DeclStmt *getConditionVariableDeclStmt() const {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
Stmt *getInit() {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
const Stmt *getInit() const {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
void setInit(Stmt *Init) {
assert(hasInitStorage() &&
"This if statement has no storage for an init statement!");
getTrailingObjects<Stmt *>()[initOffset()] = Init;
}
SourceLocation getIfLoc() const { return IfStmtBits.IfLoc; }
void setIfLoc(SourceLocation IfLoc) { IfStmtBits.IfLoc = IfLoc; }
SourceLocation getElseLoc() const {
return hasElseStorage() ? *getTrailingObjects<SourceLocation>()
: SourceLocation();
}
void setElseLoc(SourceLocation ElseLoc) {
assert(hasElseStorage() &&
"This if statement has no storage for an else statement!");
*getTrailingObjects<SourceLocation>() = ElseLoc;
}
bool isConstexpr() const { return IfStmtBits.IsConstexpr; }
void setConstexpr(bool C) { IfStmtBits.IsConstexpr = C; }
bool isObjCAvailabilityCheck() const;
SourceLocation getBeginLoc() const { return getIfLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
if (getElse())
return getElse()->getEndLoc();
return getThen()->getEndLoc();
}
// Iterators over subexpressions. The iterators will include iterating
// over the initialization expression referenced by the condition variable.
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == IfStmtClass;
}
};
/// SwitchStmt - This represents a 'switch' stmt.
class SwitchStmt final : public Stmt,
private llvm::TrailingObjects<SwitchStmt, Stmt *> {
friend TrailingObjects;
/// Points to a linked list of case and default statements.
SwitchCase *FirstCase;
// SwitchStmt is followed by several trailing objects,
// some of which optional. Note that it would be more convenient to
// put the optional trailing objects at the end but this would change
// the order in children().
// The trailing objects are in order:
//
// * A "Stmt *" for the init statement.
// Present if and only if hasInitStorage().
//
// * A "Stmt *" for the condition variable.
// Present if and only if hasVarStorage(). This is in fact a "DeclStmt *".
//
// * A "Stmt *" for the condition.
// Always present. This is in fact an "Expr *".
//
// * A "Stmt *" for the body.
// Always present.
enum { InitOffset = 0, BodyOffsetFromCond = 1 };
enum { NumMandatoryStmtPtr = 2 };
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + hasInitStorage() + hasVarStorage();
}
unsigned initOffset() const { return InitOffset; }
unsigned varOffset() const { return InitOffset + hasInitStorage(); }
unsigned condOffset() const {
return InitOffset + hasInitStorage() + hasVarStorage();
}
unsigned bodyOffset() const { return condOffset() + BodyOffsetFromCond; }
/// Build a switch statement.
SwitchStmt(const ASTContext &Ctx, Stmt *Init, VarDecl *Var, Expr *Cond);
/// Build a empty switch statement.
explicit SwitchStmt(EmptyShell Empty, bool HasInit, bool HasVar);
public:
/// Create a switch statement.
static SwitchStmt *Create(const ASTContext &Ctx, Stmt *Init, VarDecl *Var,
Expr *Cond);
/// Create an empty switch statement optionally with storage for
/// an init expression and a condition variable.
static SwitchStmt *CreateEmpty(const ASTContext &Ctx, bool HasInit,
bool HasVar);
/// True if this SwitchStmt has storage for an init statement.
bool hasInitStorage() const { return SwitchStmtBits.HasInit; }
/// True if this SwitchStmt has storage for a condition variable.
bool hasVarStorage() const { return SwitchStmtBits.HasVar; }
Expr *getCond() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
const Expr *getCond() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
void setCond(Expr *Cond) {
getTrailingObjects<Stmt *>()[condOffset()] = reinterpret_cast<Stmt *>(Cond);
}
Stmt *getBody() { return getTrailingObjects<Stmt *>()[bodyOffset()]; }
const Stmt *getBody() const {
return getTrailingObjects<Stmt *>()[bodyOffset()];
}
void setBody(Stmt *Body) {
getTrailingObjects<Stmt *>()[bodyOffset()] = Body;
}
Stmt *getInit() {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
const Stmt *getInit() const {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
void setInit(Stmt *Init) {
assert(hasInitStorage() &&
"This switch statement has no storage for an init statement!");
getTrailingObjects<Stmt *>()[initOffset()] = Init;
}
/// Retrieve the variable declared in this "switch" statement, if any.
///
/// In the following example, "x" is the condition variable.
/// \code
/// switch (int x = foo()) {
/// case 0: break;
/// // ...
/// }
/// \endcode
VarDecl *getConditionVariable();
const VarDecl *getConditionVariable() const {
return const_cast<SwitchStmt *>(this)->getConditionVariable();
}
/// Set the condition variable in this switch statement.
/// The switch statement must have storage for it.
void setConditionVariable(const ASTContext &Ctx, VarDecl *VD);
/// If this SwitchStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
DeclStmt *getConditionVariableDeclStmt() {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
const DeclStmt *getConditionVariableDeclStmt() const {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
SwitchCase *getSwitchCaseList() { return FirstCase; }
const SwitchCase *getSwitchCaseList() const { return FirstCase; }
void setSwitchCaseList(SwitchCase *SC) { FirstCase = SC; }
SourceLocation getSwitchLoc() const { return SwitchStmtBits.SwitchLoc; }
void setSwitchLoc(SourceLocation L) { SwitchStmtBits.SwitchLoc = L; }
void setBody(Stmt *S, SourceLocation SL) {
setBody(S);
setSwitchLoc(SL);
}
void addSwitchCase(SwitchCase *SC) {
assert(!SC->getNextSwitchCase() &&
"case/default already added to a switch");
SC->setNextSwitchCase(FirstCase);
FirstCase = SC;
}
/// Set a flag in the SwitchStmt indicating that if the 'switch (X)' is a
/// switch over an enum value then all cases have been explicitly covered.
void setAllEnumCasesCovered() { SwitchStmtBits.AllEnumCasesCovered = true; }
/// Returns true if the SwitchStmt is a switch of an enum value and all cases
/// have been explicitly covered.
bool isAllEnumCasesCovered() const {
return SwitchStmtBits.AllEnumCasesCovered;
}
SourceLocation getBeginLoc() const { return getSwitchLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return getBody() ? getBody()->getEndLoc()
: reinterpret_cast<const Stmt *>(getCond())->getEndLoc();
}
// Iterators
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SwitchStmtClass;
}
};
/// WhileStmt - This represents a 'while' stmt.
class WhileStmt final : public Stmt,
private llvm::TrailingObjects<WhileStmt, Stmt *> {
friend TrailingObjects;
// WhileStmt is followed by several trailing objects,
// some of which optional. Note that it would be more
// convenient to put the optional trailing object at the end
// but this would affect children().
// The trailing objects are in order:
//
// * A "Stmt *" for the condition variable.
// Present if and only if hasVarStorage(). This is in fact a "DeclStmt *".
//
// * A "Stmt *" for the condition.
// Always present. This is in fact an "Expr *".
//
// * A "Stmt *" for the body.
// Always present.
//
enum { VarOffset = 0, BodyOffsetFromCond = 1 };
enum { NumMandatoryStmtPtr = 2 };
unsigned varOffset() const { return VarOffset; }
unsigned condOffset() const { return VarOffset + hasVarStorage(); }
unsigned bodyOffset() const { return condOffset() + BodyOffsetFromCond; }
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + hasVarStorage();
}
/// Build a while statement.
WhileStmt(const ASTContext &Ctx, VarDecl *Var, Expr *Cond, Stmt *Body,
SourceLocation WL);
/// Build an empty while statement.
explicit WhileStmt(EmptyShell Empty, bool HasVar);
public:
/// Create a while statement.
static WhileStmt *Create(const ASTContext &Ctx, VarDecl *Var, Expr *Cond,
Stmt *Body, SourceLocation WL);
/// Create an empty while statement optionally with storage for
/// a condition variable.
static WhileStmt *CreateEmpty(const ASTContext &Ctx, bool HasVar);
/// True if this WhileStmt has storage for a condition variable.
bool hasVarStorage() const { return WhileStmtBits.HasVar; }
Expr *getCond() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
const Expr *getCond() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
void setCond(Expr *Cond) {
getTrailingObjects<Stmt *>()[condOffset()] = reinterpret_cast<Stmt *>(Cond);
}
Stmt *getBody() { return getTrailingObjects<Stmt *>()[bodyOffset()]; }
const Stmt *getBody() const {
return getTrailingObjects<Stmt *>()[bodyOffset()];
}
void setBody(Stmt *Body) {
getTrailingObjects<Stmt *>()[bodyOffset()] = Body;
}
/// Retrieve the variable declared in this "while" statement, if any.
///
/// In the following example, "x" is the condition variable.
/// \code
/// while (int x = random()) {
/// // ...
/// }
/// \endcode
VarDecl *getConditionVariable();
const VarDecl *getConditionVariable() const {
return const_cast<WhileStmt *>(this)->getConditionVariable();
}
/// Set the condition variable of this while statement.
/// The while statement must have storage for it.
void setConditionVariable(const ASTContext &Ctx, VarDecl *V);
/// If this WhileStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
DeclStmt *getConditionVariableDeclStmt() {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
const DeclStmt *getConditionVariableDeclStmt() const {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
SourceLocation getWhileLoc() const { return WhileStmtBits.WhileLoc; }
void setWhileLoc(SourceLocation L) { WhileStmtBits.WhileLoc = L; }
SourceLocation getBeginLoc() const { return getWhileLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return getBody()->getEndLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == WhileStmtClass;
}
// Iterators
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
};
/// DoStmt - This represents a 'do/while' stmt.
class DoStmt : public Stmt {
enum { BODY, COND, END_EXPR };
Stmt *SubExprs[END_EXPR];
SourceLocation WhileLoc;
SourceLocation RParenLoc; // Location of final ')' in do stmt condition.
public:
DoStmt(Stmt *Body, Expr *Cond, SourceLocation DL, SourceLocation WL,
SourceLocation RP)
: Stmt(DoStmtClass), WhileLoc(WL), RParenLoc(RP) {
setCond(Cond);
setBody(Body);
setDoLoc(DL);
}
/// Build an empty do-while statement.
explicit DoStmt(EmptyShell Empty) : Stmt(DoStmtClass, Empty) {}
Expr *getCond() { return reinterpret_cast<Expr *>(SubExprs[COND]); }
const Expr *getCond() const {
return reinterpret_cast<Expr *>(SubExprs[COND]);
}
void setCond(Expr *Cond) { SubExprs[COND] = reinterpret_cast<Stmt *>(Cond); }
Stmt *getBody() { return SubExprs[BODY]; }
const Stmt *getBody() const { return SubExprs[BODY]; }
void setBody(Stmt *Body) { SubExprs[BODY] = Body; }
SourceLocation getDoLoc() const { return DoStmtBits.DoLoc; }
void setDoLoc(SourceLocation L) { DoStmtBits.DoLoc = L; }
SourceLocation getWhileLoc() const { return WhileLoc; }
void setWhileLoc(SourceLocation L) { WhileLoc = L; }
SourceLocation getRParenLoc() const { return RParenLoc; }
void setRParenLoc(SourceLocation L) { RParenLoc = L; }
SourceLocation getBeginLoc() const { return getDoLoc(); }
SourceLocation getEndLoc() const { return getRParenLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == DoStmtClass;
}
// Iterators
child_range children() {
return child_range(&SubExprs[0], &SubExprs[0] + END_EXPR);
}
const_child_range children() const {
return const_child_range(&SubExprs[0], &SubExprs[0] + END_EXPR);
}
};
/// ForStmt - This represents a 'for (init;cond;inc)' stmt. Note that any of
/// the init/cond/inc parts of the ForStmt will be null if they were not
/// specified in the source.
class ForStmt : public Stmt {
enum { INIT, CONDVAR, COND, INC, BODY, END_EXPR };
Stmt* SubExprs[END_EXPR]; // SubExprs[INIT] is an expression or declstmt.
SourceLocation LParenLoc, RParenLoc;
public:
ForStmt(const ASTContext &C, Stmt *Init, Expr *Cond, VarDecl *condVar,
Expr *Inc, Stmt *Body, SourceLocation FL, SourceLocation LP,
SourceLocation RP);
/// Build an empty for statement.
explicit ForStmt(EmptyShell Empty) : Stmt(ForStmtClass, Empty) {}
Stmt *getInit() { return SubExprs[INIT]; }
/// Retrieve the variable declared in this "for" statement, if any.
///
/// In the following example, "y" is the condition variable.
/// \code
/// for (int x = random(); int y = mangle(x); ++x) {
/// // ...
/// }
/// \endcode
VarDecl *getConditionVariable() const;
void setConditionVariable(const ASTContext &C, VarDecl *V);
/// If this ForStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
const DeclStmt *getConditionVariableDeclStmt() const {
return reinterpret_cast<DeclStmt*>(SubExprs[CONDVAR]);
}
Expr *getCond() { return reinterpret_cast<Expr*>(SubExprs[COND]); }
Expr *getInc() { return reinterpret_cast<Expr*>(SubExprs[INC]); }
Stmt *getBody() { return SubExprs[BODY]; }
const Stmt *getInit() const { return SubExprs[INIT]; }
const Expr *getCond() const { return reinterpret_cast<Expr*>(SubExprs[COND]);}
const Expr *getInc() const { return reinterpret_cast<Expr*>(SubExprs[INC]); }
const Stmt *getBody() const { return SubExprs[BODY]; }
void setInit(Stmt *S) { SubExprs[INIT] = S; }
void setCond(Expr *E) { SubExprs[COND] = reinterpret_cast<Stmt*>(E); }
void setInc(Expr *E) { SubExprs[INC] = reinterpret_cast<Stmt*>(E); }
void setBody(Stmt *S) { SubExprs[BODY] = S; }
SourceLocation getForLoc() const { return ForStmtBits.ForLoc; }
void setForLoc(SourceLocation L) { ForStmtBits.ForLoc = L; }
SourceLocation getLParenLoc() const { return LParenLoc; }
void setLParenLoc(SourceLocation L) { LParenLoc = L; }
SourceLocation getRParenLoc() const { return RParenLoc; }
void setRParenLoc(SourceLocation L) { RParenLoc = L; }
SourceLocation getBeginLoc() const { return getForLoc(); }
SourceLocation getEndLoc() const { return getBody()->getEndLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == ForStmtClass;
}
// Iterators
child_range children() {
return child_range(&SubExprs[0], &SubExprs[0]+END_EXPR);
}
const_child_range children() const {
return const_child_range(&SubExprs[0], &SubExprs[0] + END_EXPR);
}
};
/// GotoStmt - This represents a direct goto.
class GotoStmt : public Stmt {
LabelDecl *Label;
SourceLocation LabelLoc;
public:
GotoStmt(LabelDecl *label, SourceLocation GL, SourceLocation LL)
: Stmt(GotoStmtClass), Label(label), LabelLoc(LL) {
setGotoLoc(GL);
}
/// Build an empty goto statement.
explicit GotoStmt(EmptyShell Empty) : Stmt(GotoStmtClass, Empty) {}
LabelDecl *getLabel() const { return Label; }
void setLabel(LabelDecl *D) { Label = D; }
SourceLocation getGotoLoc() const { return GotoStmtBits.GotoLoc; }
void setGotoLoc(SourceLocation L) { GotoStmtBits.GotoLoc = L; }
SourceLocation getLabelLoc() const { return LabelLoc; }
void setLabelLoc(SourceLocation L) { LabelLoc = L; }
SourceLocation getBeginLoc() const { return getGotoLoc(); }
SourceLocation getEndLoc() const { return getLabelLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == GotoStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// IndirectGotoStmt - This represents an indirect goto.
class IndirectGotoStmt : public Stmt {
SourceLocation StarLoc;
Stmt *Target;
public:
IndirectGotoStmt(SourceLocation gotoLoc, SourceLocation starLoc, Expr *target)
: Stmt(IndirectGotoStmtClass), StarLoc(starLoc) {
setTarget(target);
setGotoLoc(gotoLoc);
}
/// Build an empty indirect goto statement.
explicit IndirectGotoStmt(EmptyShell Empty)
: Stmt(IndirectGotoStmtClass, Empty) {}
void setGotoLoc(SourceLocation L) { GotoStmtBits.GotoLoc = L; }
SourceLocation getGotoLoc() const { return GotoStmtBits.GotoLoc; }
void setStarLoc(SourceLocation L) { StarLoc = L; }
SourceLocation getStarLoc() const { return StarLoc; }
Expr *getTarget() { return reinterpret_cast<Expr *>(Target); }
const Expr *getTarget() const {
return reinterpret_cast<const Expr *>(Target);
}
void setTarget(Expr *E) { Target = reinterpret_cast<Stmt *>(E); }
/// getConstantTarget - Returns the fixed target of this indirect
/// goto, if one exists.
LabelDecl *getConstantTarget();
const LabelDecl *getConstantTarget() const {
return const_cast<IndirectGotoStmt *>(this)->getConstantTarget();
}
SourceLocation getBeginLoc() const { return getGotoLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY { return Target->getEndLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == IndirectGotoStmtClass;
}
// Iterators
child_range children() { return child_range(&Target, &Target + 1); }
const_child_range children() const {
return const_child_range(&Target, &Target + 1);
}
};
/// ContinueStmt - This represents a continue.
class ContinueStmt : public Stmt {
public:
ContinueStmt(SourceLocation CL) : Stmt(ContinueStmtClass) {
setContinueLoc(CL);
}
/// Build an empty continue statement.
explicit ContinueStmt(EmptyShell Empty) : Stmt(ContinueStmtClass, Empty) {}
SourceLocation getContinueLoc() const { return ContinueStmtBits.ContinueLoc; }
void setContinueLoc(SourceLocation L) { ContinueStmtBits.ContinueLoc = L; }
SourceLocation getBeginLoc() const { return getContinueLoc(); }
SourceLocation getEndLoc() const { return getContinueLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == ContinueStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// BreakStmt - This represents a break.
class BreakStmt : public Stmt {
public:
BreakStmt(SourceLocation BL) : Stmt(BreakStmtClass) {
setBreakLoc(BL);
}
/// Build an empty break statement.
explicit BreakStmt(EmptyShell Empty) : Stmt(BreakStmtClass, Empty) {}
SourceLocation getBreakLoc() const { return BreakStmtBits.BreakLoc; }
void setBreakLoc(SourceLocation L) { BreakStmtBits.BreakLoc = L; }
SourceLocation getBeginLoc() const { return getBreakLoc(); }
SourceLocation getEndLoc() const { return getBreakLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == BreakStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// ReturnStmt - This represents a return, optionally of an expression:
/// return;
/// return 4;
///
/// Note that GCC allows return with no argument in a function declared to
/// return a value, and it allows returning a value in functions declared to
/// return void. We explicitly model this in the AST, which means you can't
/// depend on the return type of the function and the presence of an argument.
class ReturnStmt final
: public Stmt,
private llvm::TrailingObjects<ReturnStmt, const VarDecl *> {
friend TrailingObjects;
/// The return expression.
Stmt *RetExpr;
// ReturnStmt is followed optionally by a trailing "const VarDecl *"
// for the NRVO candidate. Present if and only if hasNRVOCandidate().
/// True if this ReturnStmt has storage for an NRVO candidate.
bool hasNRVOCandidate() const { return ReturnStmtBits.HasNRVOCandidate; }
unsigned numTrailingObjects(OverloadToken<const VarDecl *>) const {
return hasNRVOCandidate();
}
/// Build a return statement.
ReturnStmt(SourceLocation RL, Expr *E, const VarDecl *NRVOCandidate);
/// Build an empty return statement.
explicit ReturnStmt(EmptyShell Empty, bool HasNRVOCandidate);
public:
/// Create a return statement.
static ReturnStmt *Create(const ASTContext &Ctx, SourceLocation RL, Expr *E,
const VarDecl *NRVOCandidate);
/// Create an empty return statement, optionally with
/// storage for an NRVO candidate.
static ReturnStmt *CreateEmpty(const ASTContext &Ctx, bool HasNRVOCandidate);
Expr *getRetValue() { return reinterpret_cast<Expr *>(RetExpr); }
const Expr *getRetValue() const { return reinterpret_cast<Expr *>(RetExpr); }
void setRetValue(Expr *E) { RetExpr = reinterpret_cast<Stmt *>(E); }
/// Retrieve the variable that might be used for the named return
/// value optimization.
///
/// The optimization itself can only be performed if the variable is
/// also marked as an NRVO object.
const VarDecl *getNRVOCandidate() const {
return hasNRVOCandidate() ? *getTrailingObjects<const VarDecl *>()
: nullptr;
}
/// Set the variable that might be used for the named return value
/// optimization. The return statement must have storage for it,
/// which is the case if and only if hasNRVOCandidate() is true.
void setNRVOCandidate(const VarDecl *Var) {
assert(hasNRVOCandidate() &&
"This return statement has no storage for an NRVO candidate!");
*getTrailingObjects<const VarDecl *>() = Var;
}
SourceLocation getReturnLoc() const { return ReturnStmtBits.RetLoc; }
void setReturnLoc(SourceLocation L) { ReturnStmtBits.RetLoc = L; }
SourceLocation getBeginLoc() const { return getReturnLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return RetExpr ? RetExpr->getEndLoc() : getReturnLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == ReturnStmtClass;
}
// Iterators
child_range children() {
if (RetExpr)
return child_range(&RetExpr, &RetExpr + 1);
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
if (RetExpr)
return const_child_range(&RetExpr, &RetExpr + 1);
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// AsmStmt is the base class for GCCAsmStmt and MSAsmStmt.
class AsmStmt : public Stmt {
protected:
friend class ASTStmtReader;
SourceLocation AsmLoc;
/// True if the assembly statement does not have any input or output
/// operands.
bool IsSimple;
/// If true, treat this inline assembly as having side effects.
/// This assembly statement should not be optimized, deleted or moved.
bool IsVolatile;
unsigned NumOutputs;
unsigned NumInputs;
unsigned NumClobbers;
Stmt **Exprs = nullptr;
AsmStmt(StmtClass SC, SourceLocation asmloc, bool issimple, bool isvolatile,
unsigned numoutputs, unsigned numinputs, unsigned numclobbers)
: Stmt (SC), AsmLoc(asmloc), IsSimple(issimple), IsVolatile(isvolatile),
NumOutputs(numoutputs), NumInputs(numinputs),
NumClobbers(numclobbers) {}
public:
/// Build an empty inline-assembly statement.
explicit AsmStmt(StmtClass SC, EmptyShell Empty) : Stmt(SC, Empty) {}
SourceLocation getAsmLoc() const { return AsmLoc; }
void setAsmLoc(SourceLocation L) { AsmLoc = L; }
bool isSimple() const { return IsSimple; }
void setSimple(bool V) { IsSimple = V; }
bool isVolatile() const { return IsVolatile; }
void setVolatile(bool V) { IsVolatile = V; }
SourceLocation getBeginLoc() const LLVM_READONLY { return {}; }
SourceLocation getEndLoc() const LLVM_READONLY { return {}; }
//===--- Asm String Analysis ---===//
/// Assemble final IR asm string.
std::string generateAsmString(const ASTContext &C) const;
//===--- Output operands ---===//
unsigned getNumOutputs() const { return NumOutputs; }
/// getOutputConstraint - Return the constraint string for the specified
/// output operand. All output constraints are known to be non-empty (either
/// '=' or '+').
StringRef getOutputConstraint(unsigned i) const;
/// isOutputPlusConstraint - Return true if the specified output constraint
/// is a "+" constraint (which is both an input and an output) or false if it
/// is an "=" constraint (just an output).
bool isOutputPlusConstraint(unsigned i) const {
return getOutputConstraint(i)[0] == '+';
}
const Expr *getOutputExpr(unsigned i) const;
/// getNumPlusOperands - Return the number of output operands that have a "+"
/// constraint.
unsigned getNumPlusOperands() const;
//===--- Input operands ---===//
unsigned getNumInputs() const { return NumInputs; }
/// getInputConstraint - Return the specified input constraint. Unlike output
/// constraints, these can be empty.
StringRef getInputConstraint(unsigned i) const;
const Expr *getInputExpr(unsigned i) const;
//===--- Other ---===//
unsigned getNumClobbers() const { return NumClobbers; }
StringRef getClobber(unsigned i) const;
static bool classof(const Stmt *T) {
return T->getStmtClass() == GCCAsmStmtClass ||
T->getStmtClass() == MSAsmStmtClass;
}
// Input expr iterators.
using inputs_iterator = ExprIterator;
using const_inputs_iterator = ConstExprIterator;
using inputs_range = llvm::iterator_range<inputs_iterator>;
using inputs_const_range = llvm::iterator_range<const_inputs_iterator>;
inputs_iterator begin_inputs() {
return &Exprs[0] + NumOutputs;
}
inputs_iterator end_inputs() {
return &Exprs[0] + NumOutputs + NumInputs;
}
inputs_range inputs() { return inputs_range(begin_inputs(), end_inputs()); }
const_inputs_iterator begin_inputs() const {
return &Exprs[0] + NumOutputs;
}
const_inputs_iterator end_inputs() const {
return &Exprs[0] + NumOutputs + NumInputs;
}
inputs_const_range inputs() const {
return inputs_const_range(begin_inputs(), end_inputs());
}
// Output expr iterators.
using outputs_iterator = ExprIterator;
using const_outputs_iterator = ConstExprIterator;
using outputs_range = llvm::iterator_range<outputs_iterator>;
using outputs_const_range = llvm::iterator_range<const_outputs_iterator>;
outputs_iterator begin_outputs() {
return &Exprs[0];
}
outputs_iterator end_outputs() {
return &Exprs[0] + NumOutputs;
}
outputs_range outputs() {
return outputs_range(begin_outputs(), end_outputs());
}
const_outputs_iterator begin_outputs() const {
return &Exprs[0];
}
const_outputs_iterator end_outputs() const {
return &Exprs[0] + NumOutputs;
}
outputs_const_range outputs() const {
return outputs_const_range(begin_outputs(), end_outputs());
}
child_range children() {
return child_range(&Exprs[0], &Exprs[0] + NumOutputs + NumInputs);
}
const_child_range children() const {
return const_child_range(&Exprs[0], &Exprs[0] + NumOutputs + NumInputs);
}
};
/// This represents a GCC inline-assembly statement extension.
class GCCAsmStmt : public AsmStmt {
friend class ASTStmtReader;
SourceLocation RParenLoc;
StringLiteral *AsmStr;
// FIXME: If we wanted to, we could allocate all of these in one big array.
StringLiteral **Constraints = nullptr;
StringLiteral **Clobbers = nullptr;
IdentifierInfo **Names = nullptr;
public:
GCCAsmStmt(const ASTContext &C, SourceLocation asmloc, bool issimple,
bool isvolatile, unsigned numoutputs, unsigned numinputs,
IdentifierInfo **names, StringLiteral **constraints, Expr **exprs,
StringLiteral *asmstr, unsigned numclobbers,
StringLiteral **clobbers, SourceLocation rparenloc);
/// Build an empty inline-assembly statement.
explicit GCCAsmStmt(EmptyShell Empty) : AsmStmt(GCCAsmStmtClass, Empty) {}
SourceLocation getRParenLoc() const { return RParenLoc; }
void setRParenLoc(SourceLocation L) { RParenLoc = L; }
//===--- Asm String Analysis ---===//
const StringLiteral *getAsmString() const { return AsmStr; }
StringLiteral *getAsmString() { return AsmStr; }
void setAsmString(StringLiteral *E) { AsmStr = E; }
/// AsmStringPiece - this is part of a decomposed asm string specification
/// (for use with the AnalyzeAsmString function below). An asm string is
/// considered to be a concatenation of these parts.
class AsmStringPiece {
public:
enum Kind {
String, // String in .ll asm string form, "$" -> "$$" and "%%" -> "%".
Operand // Operand reference, with optional modifier %c4.
};
private:
Kind MyKind;
std::string Str;
unsigned OperandNo;
// Source range for operand references.
CharSourceRange Range;
public:
AsmStringPiece(const std::string &S) : MyKind(String), Str(S) {}
AsmStringPiece(unsigned OpNo, const std::string &S, SourceLocation Begin,
SourceLocation End)
: MyKind(Operand), Str(S), OperandNo(OpNo),
Range(CharSourceRange::getCharRange(Begin, End)) {}
bool isString() const { return MyKind == String; }
bool isOperand() const { return MyKind == Operand; }
const std::string &getString() const { return Str; }
unsigned getOperandNo() const {
assert(isOperand());
return OperandNo;
}
CharSourceRange getRange() const {
assert(isOperand() && "Range is currently used only for Operands.");
return Range;
}
/// getModifier - Get the modifier for this operand, if present. This
/// returns '\0' if there was no modifier.
char getModifier() const;
};
/// AnalyzeAsmString - Analyze the asm string of the current asm, decomposing
/// it into pieces. If the asm string is erroneous, emit errors and return
/// true, otherwise return false. This handles canonicalization and
/// translation of strings from GCC syntax to LLVM IR syntax, and handles
//// flattening of named references like %[foo] to Operand AsmStringPiece's.
unsigned AnalyzeAsmString(SmallVectorImpl<AsmStringPiece> &Pieces,
const ASTContext &C, unsigned &DiagOffs) const;
/// Assemble final IR asm string.
std::string generateAsmString(const ASTContext &C) const;
//===--- Output operands ---===//
IdentifierInfo *getOutputIdentifier(unsigned i) const { return Names[i]; }
StringRef getOutputName(unsigned i) const {
if (IdentifierInfo *II = getOutputIdentifier(i))
return II->getName();
return {};
}
StringRef getOutputConstraint(unsigned i) const;
const StringLiteral *getOutputConstraintLiteral(unsigned i) const {
return Constraints[i];
}
StringLiteral *getOutputConstraintLiteral(unsigned i) {
return Constraints[i];
}
Expr *getOutputExpr(unsigned i);
const Expr *getOutputExpr(unsigned i) const {
return const_cast<GCCAsmStmt*>(this)->getOutputExpr(i);
}
//===--- Input operands ---===//
IdentifierInfo *getInputIdentifier(unsigned i) const {
return Names[i + NumOutputs];
}
StringRef getInputName(unsigned i) const {
if (IdentifierInfo *II = getInputIdentifier(i))
return II->getName();
return {};
}
StringRef getInputConstraint(unsigned i) const;
const StringLiteral *getInputConstraintLiteral(unsigned i) const {
return Constraints[i + NumOutputs];
}
StringLiteral *getInputConstraintLiteral(unsigned i) {
return Constraints[i + NumOutputs];
}
Expr *getInputExpr(unsigned i);
void setInputExpr(unsigned i, Expr *E);
const Expr *getInputExpr(unsigned i) const {
return const_cast<GCCAsmStmt*>(this)->getInputExpr(i);
}
private:
void setOutputsAndInputsAndClobbers(const ASTContext &C,
IdentifierInfo **Names,
StringLiteral **Constraints,
Stmt **Exprs,
unsigned NumOutputs,
unsigned NumInputs,
StringLiteral **Clobbers,
unsigned NumClobbers);
public:
//===--- Other ---===//
/// getNamedOperand - Given a symbolic operand reference like %[foo],
/// translate this into a numeric value needed to reference the same operand.
/// This returns -1 if the operand name is invalid.
int getNamedOperand(StringRef SymbolicName) const;
StringRef getClobber(unsigned i) const;
StringLiteral *getClobberStringLiteral(unsigned i) { return Clobbers[i]; }
const StringLiteral *getClobberStringLiteral(unsigned i) const {
return Clobbers[i];
}
SourceLocation getBeginLoc() const LLVM_READONLY { return AsmLoc; }
SourceLocation getEndLoc() const LLVM_READONLY { return RParenLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == GCCAsmStmtClass;
}
};
/// This represents a Microsoft inline-assembly statement extension.
class MSAsmStmt : public AsmStmt {
friend class ASTStmtReader;
SourceLocation LBraceLoc, EndLoc;
StringRef AsmStr;
unsigned NumAsmToks = 0;
Token *AsmToks = nullptr;
StringRef *Constraints = nullptr;
StringRef *Clobbers = nullptr;
public:
MSAsmStmt(const ASTContext &C, SourceLocation asmloc,
SourceLocation lbraceloc, bool issimple, bool isvolatile,
ArrayRef<Token> asmtoks, unsigned numoutputs, unsigned numinputs,
ArrayRef<StringRef> constraints,
ArrayRef<Expr*> exprs, StringRef asmstr,
ArrayRef<StringRef> clobbers, SourceLocation endloc);
/// Build an empty MS-style inline-assembly statement.
explicit MSAsmStmt(EmptyShell Empty) : AsmStmt(MSAsmStmtClass, Empty) {}
SourceLocation getLBraceLoc() const { return LBraceLoc; }
void setLBraceLoc(SourceLocation L) { LBraceLoc = L; }
SourceLocation getEndLoc() const { return EndLoc; }
void setEndLoc(SourceLocation L) { EndLoc = L; }
bool hasBraces() const { return LBraceLoc.isValid(); }
unsigned getNumAsmToks() { return NumAsmToks; }
Token *getAsmToks() { return AsmToks; }
//===--- Asm String Analysis ---===//
StringRef getAsmString() const { return AsmStr; }
/// Assemble final IR asm string.
std::string generateAsmString(const ASTContext &C) const;
//===--- Output operands ---===//
StringRef getOutputConstraint(unsigned i) const {
assert(i < NumOutputs);
return Constraints[i];
}
Expr *getOutputExpr(unsigned i);
const Expr *getOutputExpr(unsigned i) const {
return const_cast<MSAsmStmt*>(this)->getOutputExpr(i);
}
//===--- Input operands ---===//
StringRef getInputConstraint(unsigned i) const {
assert(i < NumInputs);
return Constraints[i + NumOutputs];
}
Expr *getInputExpr(unsigned i);
void setInputExpr(unsigned i, Expr *E);
const Expr *getInputExpr(unsigned i) const {
return const_cast<MSAsmStmt*>(this)->getInputExpr(i);
}
//===--- Other ---===//
ArrayRef<StringRef> getAllConstraints() const {
return llvm::makeArrayRef(Constraints, NumInputs + NumOutputs);
}
ArrayRef<StringRef> getClobbers() const {
return llvm::makeArrayRef(Clobbers, NumClobbers);
}
ArrayRef<Expr*> getAllExprs() const {
return llvm::makeArrayRef(reinterpret_cast<Expr**>(Exprs),
NumInputs + NumOutputs);
}
StringRef getClobber(unsigned i) const { return getClobbers()[i]; }
private:
void initialize(const ASTContext &C, StringRef AsmString,
ArrayRef<Token> AsmToks, ArrayRef<StringRef> Constraints,
ArrayRef<Expr*> Exprs, ArrayRef<StringRef> Clobbers);
public:
SourceLocation getBeginLoc() const LLVM_READONLY { return AsmLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == MSAsmStmtClass;
}
child_range children() {
return child_range(&Exprs[0], &Exprs[NumInputs + NumOutputs]);
}
const_child_range children() const {
return const_child_range(&Exprs[0], &Exprs[NumInputs + NumOutputs]);
}
};
class SEHExceptStmt : public Stmt {
friend class ASTReader;
friend class ASTStmtReader;
SourceLocation Loc;
Stmt *Children[2];
enum { FILTER_EXPR, BLOCK };
SEHExceptStmt(SourceLocation Loc, Expr *FilterExpr, Stmt *Block);
explicit SEHExceptStmt(EmptyShell E) : Stmt(SEHExceptStmtClass, E) {}
public:
static SEHExceptStmt* Create(const ASTContext &C,
SourceLocation ExceptLoc,
Expr *FilterExpr,
Stmt *Block);
SourceLocation getBeginLoc() const LLVM_READONLY { return getExceptLoc(); }
SourceLocation getExceptLoc() const { return Loc; }
SourceLocation getEndLoc() const { return getBlock()->getEndLoc(); }
Expr *getFilterExpr() const {
return reinterpret_cast<Expr*>(Children[FILTER_EXPR]);
}
CompoundStmt *getBlock() const {
return cast<CompoundStmt>(Children[BLOCK]);
}
child_range children() {
return child_range(Children, Children+2);
}
const_child_range children() const {
return const_child_range(Children, Children + 2);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHExceptStmtClass;
}
};
class SEHFinallyStmt : public Stmt {
friend class ASTReader;
friend class ASTStmtReader;
SourceLocation Loc;
Stmt *Block;
SEHFinallyStmt(SourceLocation Loc, Stmt *Block);
explicit SEHFinallyStmt(EmptyShell E) : Stmt(SEHFinallyStmtClass, E) {}
public:
static SEHFinallyStmt* Create(const ASTContext &C,
SourceLocation FinallyLoc,
Stmt *Block);
SourceLocation getBeginLoc() const LLVM_READONLY { return getFinallyLoc(); }
SourceLocation getFinallyLoc() const { return Loc; }
SourceLocation getEndLoc() const { return Block->getEndLoc(); }
CompoundStmt *getBlock() const { return cast<CompoundStmt>(Block); }
child_range children() {
return child_range(&Block,&Block+1);
}
const_child_range children() const {
return const_child_range(&Block, &Block + 1);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHFinallyStmtClass;
}
};
class SEHTryStmt : public Stmt {
friend class ASTReader;
friend class ASTStmtReader;
bool IsCXXTry;
SourceLocation TryLoc;
Stmt *Children[2];
enum { TRY = 0, HANDLER = 1 };
SEHTryStmt(bool isCXXTry, // true if 'try' otherwise '__try'
SourceLocation TryLoc,
Stmt *TryBlock,
Stmt *Handler);
explicit SEHTryStmt(EmptyShell E) : Stmt(SEHTryStmtClass, E) {}
public:
static SEHTryStmt* Create(const ASTContext &C, bool isCXXTry,
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
SourceLocation getBeginLoc() const LLVM_READONLY { return getTryLoc(); }
SourceLocation getTryLoc() const { return TryLoc; }
SourceLocation getEndLoc() const { return Children[HANDLER]->getEndLoc(); }
bool getIsCXXTry() const { return IsCXXTry; }
CompoundStmt* getTryBlock() const {
return cast<CompoundStmt>(Children[TRY]);
}
Stmt *getHandler() const { return Children[HANDLER]; }
/// Returns 0 if not defined
SEHExceptStmt *getExceptHandler() const;
SEHFinallyStmt *getFinallyHandler() const;
child_range children() {
return child_range(Children, Children+2);
}
const_child_range children() const {
return const_child_range(Children, Children + 2);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHTryStmtClass;
}
};
/// Represents a __leave statement.
class SEHLeaveStmt : public Stmt {
SourceLocation LeaveLoc;
public:
explicit SEHLeaveStmt(SourceLocation LL)
: Stmt(SEHLeaveStmtClass), LeaveLoc(LL) {}
/// Build an empty __leave statement.
explicit SEHLeaveStmt(EmptyShell Empty) : Stmt(SEHLeaveStmtClass, Empty) {}
SourceLocation getLeaveLoc() const { return LeaveLoc; }
void setLeaveLoc(SourceLocation L) { LeaveLoc = L; }
SourceLocation getBeginLoc() const LLVM_READONLY { return LeaveLoc; }
SourceLocation getEndLoc() const LLVM_READONLY { return LeaveLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHLeaveStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// This captures a statement into a function. For example, the following
/// pragma annotated compound statement can be represented as a CapturedStmt,
/// and this compound statement is the body of an anonymous outlined function.
/// @code
/// #pragma omp parallel
/// {
/// compute();
/// }
/// @endcode
class CapturedStmt : public Stmt {
public:
/// The different capture forms: by 'this', by reference, capture for
/// variable-length array type etc.
enum VariableCaptureKind {
VCK_This,
VCK_ByRef,
VCK_ByCopy,
VCK_VLAType,
};
/// Describes the capture of either a variable, or 'this', or
/// variable-length array type.
class Capture {
llvm::PointerIntPair<VarDecl *, 2, VariableCaptureKind> VarAndKind;
SourceLocation Loc;
public:
friend class ASTStmtReader;
/// Create a new capture.
///
/// \param Loc The source location associated with this capture.
///
/// \param Kind The kind of capture (this, ByRef, ...).
///
/// \param Var The variable being captured, or null if capturing this.
Capture(SourceLocation Loc, VariableCaptureKind Kind,
VarDecl *Var = nullptr);
/// Determine the kind of capture.
VariableCaptureKind getCaptureKind() const;
/// Retrieve the source location at which the variable or 'this' was
/// first used.
SourceLocation getLocation() const { return Loc; }
/// Determine whether this capture handles the C++ 'this' pointer.
bool capturesThis() const { return getCaptureKind() == VCK_This; }
/// Determine whether this capture handles a variable (by reference).
bool capturesVariable() const { return getCaptureKind() == VCK_ByRef; }
/// Determine whether this capture handles a variable by copy.
bool capturesVariableByCopy() const {
return getCaptureKind() == VCK_ByCopy;
}
/// Determine whether this capture handles a variable-length array
/// type.
bool capturesVariableArrayType() const {
return getCaptureKind() == VCK_VLAType;
}
/// Retrieve the declaration of the variable being captured.
///
/// This operation is only valid if this capture captures a variable.
VarDecl *getCapturedVar() const;
};
private:
/// The number of variable captured, including 'this'.
unsigned NumCaptures;
/// The pointer part is the implicit the outlined function and the
/// int part is the captured region kind, 'CR_Default' etc.
llvm::PointerIntPair<CapturedDecl *, 2, CapturedRegionKind> CapDeclAndKind;
/// The record for captured variables, a RecordDecl or CXXRecordDecl.
RecordDecl *TheRecordDecl = nullptr;
/// Construct a captured statement.
CapturedStmt(Stmt *S, CapturedRegionKind Kind, ArrayRef<Capture> Captures,
ArrayRef<Expr *> CaptureInits, CapturedDecl *CD, RecordDecl *RD);
/// Construct an empty captured statement.
CapturedStmt(EmptyShell Empty, unsigned NumCaptures);
Stmt **getStoredStmts() { return reinterpret_cast<Stmt **>(this + 1); }
Stmt *const *getStoredStmts() const {
return reinterpret_cast<Stmt *const *>(this + 1);
}
Capture *getStoredCaptures() const;
void setCapturedStmt(Stmt *S) { getStoredStmts()[NumCaptures] = S; }
public:
friend class ASTStmtReader;
static CapturedStmt *Create(const ASTContext &Context, Stmt *S,
CapturedRegionKind Kind,
ArrayRef<Capture> Captures,
ArrayRef<Expr *> CaptureInits,
CapturedDecl *CD, RecordDecl *RD);
static CapturedStmt *CreateDeserialized(const ASTContext &Context,
unsigned NumCaptures);
/// Retrieve the statement being captured.
Stmt *getCapturedStmt() { return getStoredStmts()[NumCaptures]; }
const Stmt *getCapturedStmt() const { return getStoredStmts()[NumCaptures]; }
/// Retrieve the outlined function declaration.
CapturedDecl *getCapturedDecl();
const CapturedDecl *getCapturedDecl() const;
/// Set the outlined function declaration.
void setCapturedDecl(CapturedDecl *D);
/// Retrieve the captured region kind.
CapturedRegionKind getCapturedRegionKind() const;
/// Set the captured region kind.
void setCapturedRegionKind(CapturedRegionKind Kind);
/// Retrieve the record declaration for captured variables.
const RecordDecl *getCapturedRecordDecl() const { return TheRecordDecl; }
/// Set the record declaration for captured variables.
void setCapturedRecordDecl(RecordDecl *D) {
assert(D && "null RecordDecl");
TheRecordDecl = D;
}
/// True if this variable has been captured.
bool capturesVariable(const VarDecl *Var) const;
/// An iterator that walks over the captures.
using capture_iterator = Capture *;
using const_capture_iterator = const Capture *;
using capture_range = llvm::iterator_range<capture_iterator>;
using capture_const_range = llvm::iterator_range<const_capture_iterator>;
capture_range captures() {
return capture_range(capture_begin(), capture_end());
}
capture_const_range captures() const {
return capture_const_range(capture_begin(), capture_end());
}
/// Retrieve an iterator pointing to the first capture.
capture_iterator capture_begin() { return getStoredCaptures(); }
const_capture_iterator capture_begin() const { return getStoredCaptures(); }
/// Retrieve an iterator pointing past the end of the sequence of
/// captures.
capture_iterator capture_end() const {
return getStoredCaptures() + NumCaptures;
}
/// Retrieve the number of captures, including 'this'.
unsigned capture_size() const { return NumCaptures; }
/// Iterator that walks over the capture initialization arguments.
using capture_init_iterator = Expr **;
using capture_init_range = llvm::iterator_range<capture_init_iterator>;
/// Const iterator that walks over the capture initialization
/// arguments.
using const_capture_init_iterator = Expr *const *;
using const_capture_init_range =
llvm::iterator_range<const_capture_init_iterator>;
capture_init_range capture_inits() {
return capture_init_range(capture_init_begin(), capture_init_end());
}
const_capture_init_range capture_inits() const {
return const_capture_init_range(capture_init_begin(), capture_init_end());
}
/// Retrieve the first initialization argument.
capture_init_iterator capture_init_begin() {
return reinterpret_cast<Expr **>(getStoredStmts());
}
const_capture_init_iterator capture_init_begin() const {
return reinterpret_cast<Expr *const *>(getStoredStmts());
}
/// Retrieve the iterator pointing one past the last initialization
/// argument.
capture_init_iterator capture_init_end() {
return capture_init_begin() + NumCaptures;
}
const_capture_init_iterator capture_init_end() const {
return capture_init_begin() + NumCaptures;
}
SourceLocation getBeginLoc() const LLVM_READONLY {
return getCapturedStmt()->getBeginLoc();
}
SourceLocation getEndLoc() const LLVM_READONLY {
return getCapturedStmt()->getEndLoc();
}
SourceRange getSourceRange() const LLVM_READONLY {
return getCapturedStmt()->getSourceRange();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == CapturedStmtClass;
}
child_range children();
const_child_range children() const;
};
} // namespace clang
#endif // LLVM_CLANG_AST_STMT_H
|
pvc_gen.h | #pragma once
#include "emp-pvc/judge.h"
#include "emp-pvc/common.h"
#include "emp-pvc/logged-ot.h"
#include "emp-pvc/hash_array.h"
#include "emp-pvc/internal_gen.h"
#include "emp-pvc/gc_commit_gen.h"
#include "emp-pvc/gc_hash_io.h"
#include "emp-pvc/ecdsa.h"
#include <deque>
#include <memory>
#ifdef DEBUG
static const char *_debug_fix_key = "dfadf34562c12353qfdasf";
#endif
namespace emp {
extern thread_local int itr;
template <typename IO>
class PVCGen: public ProtocolExecution {
private:
using garbler_t = HalfGateGen<IO>;
using generator_t = InternalGen<IO, garbler_t, /*HashOT*/true>;
using bytes_t = std::vector<uint8_t>;
inline int get_index(int j) const { return std::min(j, num_io_ - 1); }
const int num_io_;
std::vector<IO *> io_;
IO *aux_io_ = nullptr;
std::vector<garbler_t *> gc_;
std::vector<generator_t *> gen_;
sig_key_t sig_key_;
public:
explicit PVCGen(std::vector<IO *> iov, IO *aio)
: ProtocolExecution(ALICE),
num_io_(iov.size()),
io_(iov),
aux_io_(aio)
{
assert(num_io_ > 0);
gc_.resize(num_io_, nullptr);
gen_.resize(num_io_, nullptr);
ecdsa_key_gen(sig_key_);
}
~PVCGen() {
std::memset(sig_key_, 0x0, sizeof(sig_key_));
std::memset(seeds_A_, 0x0, sizeof(seeds_A_));
std::memset(witness_, 0x0, sizeof(witness_));
for (int i = 0; i < num_io_; ++i) {
delete gc_[i];
delete gen_[i];
}
}
template <typename RT>
bool run(typename TPC<RT>::T const& circ, const void *alice_input) {
rand_seeds();
/* concurrently run small tasks along with realOT */
std::thread small_tasks([this, &circ] {
pvc_create_commitment<RT>(circ);
send_circuit_commits();
recv_seeds_hash();
});
ot_on_seeds();
run_real_ot<RT>(circ, alice_input);
small_tasks.join();
/* wait commitments to be created */
send_sign_transcript();
bob_choice_ = check_witness();
if (bob_choice_ >= 0) {
return run_real_gc<RT>(circ, alice_input);
} else {
std::cout << "invalid witness\n";
return false;
}
}
void feed(block *label, int party, const bool *b, int len) override
{
gen_[get_index(itr)]->feed(label, party, b, len);
}
void reveal(bool *b, int party, const block *label, int len) override
{
assert(state == State::GC);
assert(itr == bob_choice_);
if (party == BOB) {
int idx = get_index(bob_choice_);
block l;
uint64_t *low_half = (uint64_t *) &l;
for (int i = 0; i < len; ++i) {
// 0-wire
l = label_prp.H(*label, label_id * 2);
hsh_outwires_[bob_choice_].push_back(*low_half);
// 1-wire
l = label_prp.H(xorBlocks(*label++, gc_[idx]->delta),
label_id * 2 + 1);
++label_id;
hsh_outwires_[bob_choice_].push_back(*low_half);
}
}
}
private:
Hash hsher;
uint64_t label_id = 0;
PRP label_prp; /* use prp as a hash function for Bob's ouput labels */
block seeds_A_[MAX_PVC_ITERATION];
block witness_[MAX_PVC_ITERATION];
bytes_t tx_sd_ot_[MAX_PVC_ITERATION]; /* transcript of seed ot */
bytes_t tx_ot_[MAX_PVC_ITERATION]; /* transcript of ot, hashed of each round */
hash_t digest_seeds_B_[MAX_PVC_ITERATION]; /* Bob's seeds which are received from Bob */
hash_t hsh_gc_[MAX_PVC_ITERATION]; /* Hash of GC */
std::vector<int64_t> hsh_outwires_[MAX_PVC_ITERATION];
Com cir_com_[MAX_PVC_ITERATION]; /* circuit commiment */
Decom cir_decom_[MAX_PVC_ITERATION]; /* circuit decommitment */
int bob_choice_ = -1; /* Bob's chosen index */
State state = State::INIT;
template <typename RT>
void pvc_create_commitment(typename TPC<RT>::T const& circ) {
PVCJudge judge;
#pragma omp parallel for
for (int j = 0; j < MAX_PVC_ITERATION; ++j) {
judge.simulate_gc_commit<RT>(cir_com_[j], cir_decom_[j],
&hsh_gc_[j], seeds_A_[j], circ);
}
}
void send_circuit_commits() const {
for (int j = 0; j < MAX_PVC_ITERATION; ++j) {
aux_io_->send_data(cir_com_[j], sizeof(Com));
}
aux_io_->flush();
}
void send_sign_transcript() {
send_ver_key();
for (int j = 0; j < MAX_PVC_ITERATION; ++j)
send_sign_trans(j);
}
template <class RT>
void run_real_ot(typename TPC<RT>::T const& circ, const void *alice_input) {
#pragma omp parallel for num_threads(2)
for (int j = 0; j < MAX_PVC_ITERATION; ++j) {
setup_ot(j);
circ(alice_input, nullptr, TPCF_OT_ONLY);
tx_ot_[j] = gen_[get_index(j)]->getOTDigest();
io_[get_index(j)]->flush();
}
}
template <class RT>
bool run_real_gc(typename TPC<RT>::T const& circ,
const void *alice_input) {
setup_real_gc(bob_choice_);
circ(alice_input, nullptr, TPCF_REAL_GC);
send_decomit(bob_choice_);
send_outwires_hsh(bob_choice_);
io_[bob_choice_]->flush();
return true;
}
/*
* transcript := (index || commit || GC OT transcript hash || seed_B hash || Seed OTs transcript hash)
* send 1. sign of transcript, 2. commit, 3., ot transcript
* */
void send_sign_trans(int j) {
assert(j >= 0 && j < MAX_PVC_ITERATION);
uint8_t buf[1 + sizeof(Com) + sizeof(hash_t) * 3];
/* index */
buf[0] = (uint8_t)j;
uint8_t *ptr = &(buf[1]);
/* commit */
std::memcpy(ptr, cir_com_[j], sizeof(Com));
ptr += sizeof(Com);
/* OT transcript, but we sign its hash */
hsher.hash_once((char *)ptr, tx_ot_[j].data(), tx_ot_[j].size());
ptr += sizeof(hash_t);
/* hash of seedB */
std::memcpy(ptr, digest_seeds_B_[j].data(), sizeof(hash_t));
ptr += sizeof(hash_t);
/* seedOT transcript, also sign its hash */
hsher.hash_once((char *)ptr, tx_sd_ot_[j].data(), tx_sd_ot_[j].size());
ptr += sizeof(hash_t);
int msg_len = std::distance(&buf[0], ptr);
uint8_t sig[ECDSA_SIGN_BYTES];
int32_t len = ecdsa_sign(sig, sizeof(sig), buf, msg_len, sig_key_);
if (len == 0) {
std::cerr << "ecdsa sign fails" << std::endl;
exit(1);
}
/* send sign of transcript */
auto io = io_[get_index(j)];
io->send_data(&len, sizeof(int32_t));
io->send_data(sig, len);
/* follows by the OT transcript */
len = tx_ot_[j].size();
io->send_data(&len, sizeof(int32_t));
io->send_data(tx_ot_[j].data(), len);
io->flush();
}
void send_ver_key() const {
ver_key_t vk;
ecdsa_get_ver_key(vk, sig_key_);
uint8_t buf[ECDSA_VK_BYTES];
int32_t len = ecdsa_serialize_ver_key(buf, sizeof(buf), vk);
auto io = io_[0];
io->send_data(&len, sizeof(len));
io->send_data(buf, len);
io->flush();
}
void rand_seeds() {
PRG prg;//(fix_key);
prg.random_block(seeds_A_, MAX_PVC_ITERATION);
prg.random_block(witness_, MAX_PVC_ITERATION);
}
/*
* Run MAX_PVC_ITERATION 1-of-2 OT on seeds.
*/
void ot_on_seeds() {
block tmp;
LoggedOTCO<IO> logOT(nullptr);
PRG prg;
for (int j = 0; j < MAX_PVC_ITERATION; ++j) {
logOT.io = io_.at(get_index(j));
prg.random_block(&tmp);
logOT.reseed(&tmp);
logOT.send(&seeds_A_[j], &witness_[j], 1);
tx_sd_ot_[j].resize(logOT.log_length());
logOT.get_log(tx_sd_ot_[j].data(), tx_sd_ot_[j].size());
io_[get_index(j)]->flush();
logOT.clear();
}
}
void recv_seeds_hash() {
/* receive hash of seed B. */
for (auto &dig : digest_seeds_B_)
aux_io_->recv_data(dig.data(), sizeof(hash_t));
}
/*
* Receive witness from Bob, then check the witness.
* @return Bob's choice if the witness is valid, otherwise return -1.
*/
int check_witness() const {
bool ok = true;
int32_t j = -1;
io_[0]->recv_data(&j, sizeof(int32_t));
if (j < 0 || j >= MAX_PVC_ITERATION)
ok = false;
block wt;
for (int i = 0; i < MAX_PVC_ITERATION; ++i) {
io_[0]->recv_data(&wt, sizeof(block));
if (i != j)
ok &= cmpBlock(&wt, &seeds_A_[i], 1);
else
ok &= cmpBlock(&wt, &witness_[i], 1);
}
return ok ? j : -1;
}
void send_decomit(int j) const {
assert(j >= 0 && j < MAX_PVC_ITERATION);
io_[get_index(j)]->send_data(cir_decom_[j], sizeof(block));
io_[get_index(j)]->send_data(hsh_gc_[j].data(), sizeof(hash_t));
}
void send_outwires_hsh(int j) {
assert(j >= 0 && j < MAX_PVC_ITERATION);
int32_t cnt_ow = hsh_outwires_[j].size();
io_.at(get_index(j))->send_data(&cnt_ow, sizeof(int32_t));
const auto& hw = hsh_outwires_[j];
for (int i = 0; i < cnt_ow; ++i) {
io_[get_index(j)]->send_data(&hw[i], sizeof(int64_t)); // only send 64-bits
}
}
void setup_exec(int j) {
assert(j >= 0 && j < MAX_PVC_ITERATION);
itr = j;
state = State::INIT;
const int idx = get_index(j);
if (gc_[idx]) delete gc_[idx];
if (gen_[idx]) delete gen_[idx];
gc_[idx] = new garbler_t(io_[idx]);
gen_[idx] = new generator_t(io_[idx], gc_[idx], &seeds_A_[j]);
CircuitExecution::circ_exec = gc_[idx];
ProtocolExecution::prot_exec = this;
}
void setup_real_gc(int j) {
assert(j >= 0 && j < MAX_PVC_ITERATION);
setup_exec(j);
state = State::GC;
gen_[get_index(j)]->state = state;
}
void setup_ot(int j) {
assert(j >= 0 && j < MAX_PVC_ITERATION);
setup_exec(j);
state = State::OT;
gen_[get_index(j)]->state = state;
}
};
}
|
enhance.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% EEEEE N N H H AAA N N CCCC EEEEE %
% E NN N H H A A NN N C E %
% EEE N N N HHHHH AAAAA N N N C EEE %
% E N NN H H A A N NN C E %
% EEEEE N N H H A A N N CCCC EEEEE %
% %
% %
% MagickCore Image Enhancement Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2018 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://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 "MagickCore/studio.h"
#include "MagickCore/accelerate-private.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/fx.h"
#include "MagickCore/gem.h"
#include "MagickCore/gem-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/histogram.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/quantum.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resample.h"
#include "MagickCore/resample-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/threshold.h"
#include "MagickCore/token.h"
#include "MagickCore/xml-tree.h"
#include "MagickCore/xml-tree-private.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o G a m m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoGammaImage() extract the 'mean' from the image and adjust the image
% to try make set its gamma appropriatally.
%
% The format of the AutoGammaImage method is:
%
% MagickBooleanType AutoGammaImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image to auto-level
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType AutoGammaImage(Image *image,
ExceptionInfo *exception)
{
double
gamma,
log_mean,
mean,
sans;
MagickStatusType
status;
register ssize_t
i;
log_mean=log(0.5);
if (image->channel_mask == DefaultChannels)
{
/*
Apply gamma correction equally across all given channels.
*/
(void) GetImageMean(image,&mean,&sans,exception);
gamma=log(mean*QuantumScale)/log_mean;
return(LevelImage(image,0.0,(double) QuantumRange,gamma,exception));
}
/*
Auto-gamma each channel separately.
*/
status=MagickTrue;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
ChannelType
channel_mask;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
channel_mask=SetImageChannelMask(image,(ChannelType) (1 << i));
status=GetImageMean(image,&mean,&sans,exception);
gamma=log(mean*QuantumScale)/log_mean;
status&=LevelImage(image,0.0,(double) QuantumRange,gamma,exception);
(void) SetImageChannelMask(image,channel_mask);
if (status == MagickFalse)
break;
}
return(status != 0 ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o L e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoLevelImage() adjusts the levels of a particular image channel by
% scaling the minimum and maximum values to the full quantum range.
%
% The format of the LevelImage method is:
%
% MagickBooleanType AutoLevelImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image to auto-level
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType AutoLevelImage(Image *image,
ExceptionInfo *exception)
{
return(MinMaxStretchImage(image,0.0,0.0,1.0,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B r i g h t n e s s C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BrightnessContrastImage() changes the brightness and/or contrast of an
% image. It converts the brightness and contrast parameters into slope and
% intercept and calls a polynomical function to apply to the image.
%
% The format of the BrightnessContrastImage method is:
%
% MagickBooleanType BrightnessContrastImage(Image *image,
% const double brightness,const double contrast,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o brightness: the brightness percent (-100 .. 100).
%
% o contrast: the contrast percent (-100 .. 100).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType BrightnessContrastImage(Image *image,
const double brightness,const double contrast,ExceptionInfo *exception)
{
#define BrightnessContastImageTag "BrightnessContast/Image"
double
alpha,
coefficients[2],
intercept,
slope;
MagickBooleanType
status;
/*
Compute slope and intercept.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
alpha=contrast;
slope=tan((double) (MagickPI*(alpha/100.0+1.0)/4.0));
if (slope < 0.0)
slope=0.0;
intercept=brightness/100.0+((100-brightness)/200.0)*(1.0-slope);
coefficients[0]=slope;
coefficients[1]=intercept;
status=FunctionImage(image,PolynomialFunction,2,coefficients,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l u t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClutImage() replaces each color value in the given image, by using it as an
% index to lookup a replacement color value in a Color Look UP Table in the
% form of an image. The values are extracted along a diagonal of the CLUT
% image so either a horizontal or vertial gradient image can be used.
%
% Typically this is used to either re-color a gray-scale image according to a
% color gradient in the CLUT image, or to perform a freeform histogram
% (level) adjustment according to the (typically gray-scale) gradient in the
% CLUT image.
%
% When the 'channel' mask includes the matte/alpha transparency channel but
% one image has no such channel it is assumed that that image is a simple
% gray-scale image that will effect the alpha channel values, either for
% gray-scale coloring (with transparent or semi-transparent colors), or
% a histogram adjustment of existing alpha channel values. If both images
% have matte channels, direct and normal indexing is applied, which is rarely
% used.
%
% The format of the ClutImage method is:
%
% MagickBooleanType ClutImage(Image *image,Image *clut_image,
% const PixelInterpolateMethod method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image, which is replaced by indexed CLUT values
%
% o clut_image: the color lookup table image for replacement color values.
%
% o method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ClutImage(Image *image,const Image *clut_image,
const PixelInterpolateMethod method,ExceptionInfo *exception)
{
#define ClutImageTag "Clut/Image"
CacheView
*clut_view,
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
*clut_map;
register ssize_t
i;
ssize_t adjust,
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(clut_image != (Image *) NULL);
assert(clut_image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
(IsGrayColorspace(clut_image->colorspace) == MagickFalse))
(void) SetImageColorspace(image,sRGBColorspace,exception);
clut_map=(PixelInfo *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*clut_map));
if (clut_map == (PixelInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Clut image.
*/
status=MagickTrue;
progress=0;
adjust=(ssize_t) (clut_image->interpolate == IntegerInterpolatePixel ? 0 : 1);
clut_view=AcquireVirtualCacheView(clut_image,exception);
for (i=0; i <= (ssize_t) MaxMap; i++)
{
GetPixelInfo(clut_image,clut_map+i);
status=InterpolatePixelInfo(clut_image,clut_view,method,
(double) i*(clut_image->columns-adjust)/MaxMap,(double) i*
(clut_image->rows-adjust)/MaxMap,clut_map+i,exception);
if (status == MagickFalse)
break;
}
clut_view=DestroyCacheView(clut_view);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelInfo
pixel;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
GetPixelInfo(image,&pixel);
for (x=0; x < (ssize_t) image->columns; x++)
{
PixelTrait
traits;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
GetPixelInfoPixel(image,q,&pixel);
traits=GetPixelChannelTraits(image,RedPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.red=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.red))].red;
traits=GetPixelChannelTraits(image,GreenPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.green=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.green))].green;
traits=GetPixelChannelTraits(image,BluePixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.blue=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.blue))].blue;
traits=GetPixelChannelTraits(image,BlackPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.black=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.black))].black;
traits=GetPixelChannelTraits(image,AlphaPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.alpha=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.alpha))].alpha;
SetPixelViaPixelInfo(image,&pixel,q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ClutImage)
#endif
proceed=SetImageProgress(image,ClutImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
clut_map=(PixelInfo *) RelinquishMagickMemory(clut_map);
if ((clut_image->alpha_trait != UndefinedPixelTrait) &&
((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0))
(void) SetImageAlphaChannel(image,ActivateAlphaChannel,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r D e c i s i o n L i s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorDecisionListImage() accepts a lightweight Color Correction Collection
% (CCC) file which solely contains one or more color corrections and applies
% the correction to the image. Here is a sample CCC file:
%
% <ColorCorrectionCollection xmlns="urn:ASC:CDL:v1.2">
% <ColorCorrection id="cc03345">
% <SOPNode>
% <Slope> 0.9 1.2 0.5 </Slope>
% <Offset> 0.4 -0.5 0.6 </Offset>
% <Power> 1.0 0.8 1.5 </Power>
% </SOPNode>
% <SATNode>
% <Saturation> 0.85 </Saturation>
% </SATNode>
% </ColorCorrection>
% </ColorCorrectionCollection>
%
% which includes the slop, offset, and power for each of the RGB channels
% as well as the saturation.
%
% The format of the ColorDecisionListImage method is:
%
% MagickBooleanType ColorDecisionListImage(Image *image,
% const char *color_correction_collection,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o color_correction_collection: the color correction collection in XML.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ColorDecisionListImage(Image *image,
const char *color_correction_collection,ExceptionInfo *exception)
{
#define ColorDecisionListCorrectImageTag "ColorDecisionList/Image"
typedef struct _Correction
{
double
slope,
offset,
power;
} Correction;
typedef struct _ColorCorrection
{
Correction
red,
green,
blue;
double
saturation;
} ColorCorrection;
CacheView
*image_view;
char
token[MagickPathExtent];
ColorCorrection
color_correction;
const char
*content,
*p;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
*cdl_map;
register ssize_t
i;
ssize_t
y;
XMLTreeInfo
*cc,
*ccc,
*sat,
*sop;
/*
Allocate and initialize cdl maps.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (color_correction_collection == (const char *) NULL)
return(MagickFalse);
ccc=NewXMLTree((const char *) color_correction_collection,exception);
if (ccc == (XMLTreeInfo *) NULL)
return(MagickFalse);
cc=GetXMLTreeChild(ccc,"ColorCorrection");
if (cc == (XMLTreeInfo *) NULL)
{
ccc=DestroyXMLTree(ccc);
return(MagickFalse);
}
color_correction.red.slope=1.0;
color_correction.red.offset=0.0;
color_correction.red.power=1.0;
color_correction.green.slope=1.0;
color_correction.green.offset=0.0;
color_correction.green.power=1.0;
color_correction.blue.slope=1.0;
color_correction.blue.offset=0.0;
color_correction.blue.power=1.0;
color_correction.saturation=0.0;
sop=GetXMLTreeChild(cc,"SOPNode");
if (sop != (XMLTreeInfo *) NULL)
{
XMLTreeInfo
*offset,
*power,
*slope;
slope=GetXMLTreeChild(sop,"Slope");
if (slope != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(slope);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
GetNextToken(p,&p,MagickPathExtent,token);
switch (i)
{
case 0:
{
color_correction.red.slope=StringToDouble(token,(char **) NULL);
break;
}
case 1:
{
color_correction.green.slope=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.slope=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
offset=GetXMLTreeChild(sop,"Offset");
if (offset != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(offset);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
GetNextToken(p,&p,MagickPathExtent,token);
switch (i)
{
case 0:
{
color_correction.red.offset=StringToDouble(token,
(char **) NULL);
break;
}
case 1:
{
color_correction.green.offset=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.offset=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
power=GetXMLTreeChild(sop,"Power");
if (power != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(power);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
GetNextToken(p,&p,MagickPathExtent,token);
switch (i)
{
case 0:
{
color_correction.red.power=StringToDouble(token,(char **) NULL);
break;
}
case 1:
{
color_correction.green.power=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.power=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
}
sat=GetXMLTreeChild(cc,"SATNode");
if (sat != (XMLTreeInfo *) NULL)
{
XMLTreeInfo
*saturation;
saturation=GetXMLTreeChild(sat,"Saturation");
if (saturation != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(saturation);
p=(const char *) content;
GetNextToken(p,&p,MagickPathExtent,token);
color_correction.saturation=StringToDouble(token,(char **) NULL);
}
}
ccc=DestroyXMLTree(ccc);
if (image->debug != MagickFalse)
{
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" Color Correction Collection:");
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.slope: %g",color_correction.red.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.offset: %g",color_correction.red.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.power: %g",color_correction.red.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.slope: %g",color_correction.green.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.offset: %g",color_correction.green.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.power: %g",color_correction.green.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.slope: %g",color_correction.blue.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.offset: %g",color_correction.blue.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.power: %g",color_correction.blue.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.saturation: %g",color_correction.saturation);
}
cdl_map=(PixelInfo *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*cdl_map));
if (cdl_map == (PixelInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
for (i=0; i <= (ssize_t) MaxMap; i++)
{
cdl_map[i].red=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.red.slope*i/MaxMap+
color_correction.red.offset,color_correction.red.power))));
cdl_map[i].green=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.green.slope*i/MaxMap+
color_correction.green.offset,color_correction.green.power))));
cdl_map[i].blue=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.blue.slope*i/MaxMap+
color_correction.blue.offset,color_correction.blue.power))));
}
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Apply transfer function to colormap.
*/
double
luma;
luma=0.21267f*image->colormap[i].red+0.71526*image->colormap[i].green+
0.07217f*image->colormap[i].blue;
image->colormap[i].red=luma+color_correction.saturation*cdl_map[
ScaleQuantumToMap(ClampToQuantum(image->colormap[i].red))].red-luma;
image->colormap[i].green=luma+color_correction.saturation*cdl_map[
ScaleQuantumToMap(ClampToQuantum(image->colormap[i].green))].green-luma;
image->colormap[i].blue=luma+color_correction.saturation*cdl_map[
ScaleQuantumToMap(ClampToQuantum(image->colormap[i].blue))].blue-luma;
}
/*
Apply transfer function to image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
luma;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
luma=0.21267f*GetPixelRed(image,q)+0.71526*GetPixelGreen(image,q)+
0.07217f*GetPixelBlue(image,q);
SetPixelRed(image,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelRed(image,q))].red-luma)),q);
SetPixelGreen(image,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelGreen(image,q))].green-luma)),q);
SetPixelBlue(image,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelBlue(image,q))].blue-luma)),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ColorDecisionListImageChannel)
#endif
proceed=SetImageProgress(image,ColorDecisionListCorrectImageTag,
progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
cdl_map=(PixelInfo *) RelinquishMagickMemory(cdl_map);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ContrastImage() enhances the intensity differences between the lighter and
% darker elements of the image. Set sharpen to a MagickTrue to increase the
% image contrast otherwise the contrast is reduced.
%
% The format of the ContrastImage method is:
%
% MagickBooleanType ContrastImage(Image *image,
% const MagickBooleanType sharpen,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o sharpen: Increase or decrease image contrast.
%
% o exception: return any errors or warnings in this structure.
%
*/
static void Contrast(const int sign,double *red,double *green,double *blue)
{
double
brightness,
hue,
saturation;
/*
Enhance contrast: dark color become darker, light color become lighter.
*/
assert(red != (double *) NULL);
assert(green != (double *) NULL);
assert(blue != (double *) NULL);
hue=0.0;
saturation=0.0;
brightness=0.0;
ConvertRGBToHSB(*red,*green,*blue,&hue,&saturation,&brightness);
brightness+=0.5*sign*(0.5*(sin((double) (MagickPI*(brightness-0.5)))+1.0)-
brightness);
if (brightness > 1.0)
brightness=1.0;
else
if (brightness < 0.0)
brightness=0.0;
ConvertHSBToRGB(hue,saturation,brightness,red,green,blue);
}
MagickExport MagickBooleanType ContrastImage(Image *image,
const MagickBooleanType sharpen,ExceptionInfo *exception)
{
#define ContrastImageTag "Contrast/Image"
CacheView
*image_view;
int
sign;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateContrastImage(image,sharpen,exception) != MagickFalse)
return(MagickTrue);
#endif
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
sign=sharpen != MagickFalse ? 1 : -1;
if (image->storage_class == PseudoClass)
{
/*
Contrast enhance colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
double
blue,
green,
red;
red=(double) image->colormap[i].red;
green=(double) image->colormap[i].green;
blue=(double) image->colormap[i].blue;
Contrast(sign,&red,&green,&blue);
image->colormap[i].red=(MagickRealType) red;
image->colormap[i].green=(MagickRealType) green;
image->colormap[i].blue=(MagickRealType) blue;
}
}
/*
Contrast enhance image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
blue,
green,
red;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
red=(double) GetPixelRed(image,q);
green=(double) GetPixelGreen(image,q);
blue=(double) GetPixelBlue(image,q);
Contrast(sign,&red,&green,&blue);
SetPixelRed(image,ClampToQuantum(red),q);
SetPixelGreen(image,ClampToQuantum(green),q);
SetPixelBlue(image,ClampToQuantum(blue),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ContrastImage)
#endif
proceed=SetImageProgress(image,ContrastImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n t r a s t S t r e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ContrastStretchImage() is a simple image enhancement technique that attempts
% to improve the contrast in an image by 'stretching' the range of intensity
% values it contains to span a desired range of values. It differs from the
% more sophisticated histogram equalization in that it can only apply a
% linear scaling function to the image pixel values. As a result the
% 'enhancement' is less harsh.
%
% The format of the ContrastStretchImage method is:
%
% MagickBooleanType ContrastStretchImage(Image *image,
% const char *levels,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: the black point.
%
% o white_point: the white point.
%
% o levels: Specify the levels where the black and white points have the
% range of 0 to number-of-pixels (e.g. 1%, 10x90%, etc.).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ContrastStretchImage(Image *image,
const double black_point,const double white_point,ExceptionInfo *exception)
{
#define MaxRange(color) ((double) ScaleQuantumToMap((Quantum) (color)))
#define ContrastStretchImageTag "ContrastStretch/Image"
CacheView
*image_view;
double
*black,
*histogram,
*stretch_map,
*white;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate histogram and stretch map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (SetImageGray(image,exception) != MagickFalse)
(void) SetImageColorspace(image,GRAYColorspace,exception);
black=(double *) AcquireQuantumMemory(MaxPixelChannels,sizeof(*black));
white=(double *) AcquireQuantumMemory(MaxPixelChannels,sizeof(*white));
histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*histogram));
stretch_map=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*stretch_map));
if ((black == (double *) NULL) || (white == (double *) NULL) ||
(histogram == (double *) NULL) || (stretch_map == (double *) NULL))
{
if (stretch_map != (double *) NULL)
stretch_map=(double *) RelinquishMagickMemory(stretch_map);
if (histogram != (double *) NULL)
histogram=(double *) RelinquishMagickMemory(histogram);
if (white != (double *) NULL)
white=(double *) RelinquishMagickMemory(white);
if (black != (double *) NULL)
black=(double *) RelinquishMagickMemory(black);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Form histogram.
*/
status=MagickTrue;
(void) ResetMagickMemory(histogram,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*histogram));
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
pixel;
pixel=GetPixelIntensity(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
if (image->channel_mask != DefaultChannels)
pixel=(double) p[i];
histogram[GetPixelChannels(image)*ScaleQuantumToMap(
ClampToQuantum(pixel))+i]++;
}
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Find the histogram boundaries by locating the black/white levels.
*/
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
intensity;
register ssize_t
j;
black[i]=0.0;
white[i]=MaxRange(QuantumRange);
intensity=0.0;
for (j=0; j <= (ssize_t) MaxMap; j++)
{
intensity+=histogram[GetPixelChannels(image)*j+i];
if (intensity > black_point)
break;
}
black[i]=(double) j;
intensity=0.0;
for (j=(ssize_t) MaxMap; j != 0; j--)
{
intensity+=histogram[GetPixelChannels(image)*j+i];
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
white[i]=(double) j;
}
histogram=(double *) RelinquishMagickMemory(histogram);
/*
Stretch the histogram to create the stretched image mapping.
*/
(void) ResetMagickMemory(stretch_map,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*stretch_map));
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
register ssize_t
j;
for (j=0; j <= (ssize_t) MaxMap; j++)
{
double
gamma;
gamma=PerceptibleReciprocal(white[i]-black[i]);
if (j < (ssize_t) black[i])
stretch_map[GetPixelChannels(image)*j+i]=0.0;
else
if (j > (ssize_t) white[i])
stretch_map[GetPixelChannels(image)*j+i]=(double) QuantumRange;
else
if (black[i] != white[i])
stretch_map[GetPixelChannels(image)*j+i]=(double) ScaleMapToQuantum(
(double) (MaxMap*gamma*(j-black[i])));
}
}
if (image->storage_class == PseudoClass)
{
register ssize_t
j;
/*
Stretch-contrast colormap.
*/
for (j=0; j < (ssize_t) image->colors; j++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,RedPixelChannel);
image->colormap[j].red=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].red))+i];
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,GreenPixelChannel);
image->colormap[j].green=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].green))+i];
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,BluePixelChannel);
image->colormap[j].blue=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].blue))+i];
}
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,AlphaPixelChannel);
image->colormap[j].alpha=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].alpha))+i];
}
}
}
/*
Stretch-contrast image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if (black[j] == white[j])
continue;
q[j]=ClampToQuantum(stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(q[j])+j]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ContrastStretchImage)
#endif
proceed=SetImageProgress(image,ContrastStretchImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
stretch_map=(double *) RelinquishMagickMemory(stretch_map);
white=(double *) RelinquishMagickMemory(white);
black=(double *) RelinquishMagickMemory(black);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E n h a n c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EnhanceImage() applies a digital filter that improves the quality of a
% noisy image.
%
% The format of the EnhanceImage method is:
%
% Image *EnhanceImage(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 Image *EnhanceImage(const Image *image,ExceptionInfo *exception)
{
#define EnhanceImageTag "Enhance/Image"
#define EnhancePixel(weight) \
mean=QuantumScale*((double) GetPixelRed(image,r)+pixel.red)/2.0; \
distance=QuantumScale*((double) GetPixelRed(image,r)-pixel.red); \
distance_squared=(4.0+mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelGreen(image,r)+pixel.green)/2.0; \
distance=QuantumScale*((double) GetPixelGreen(image,r)-pixel.green); \
distance_squared+=(7.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelBlue(image,r)+pixel.blue)/2.0; \
distance=QuantumScale*((double) GetPixelBlue(image,r)-pixel.blue); \
distance_squared+=(5.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelBlack(image,r)+pixel.black)/2.0; \
distance=QuantumScale*((double) GetPixelBlack(image,r)-pixel.black); \
distance_squared+=(5.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelAlpha(image,r)+pixel.alpha)/2.0; \
distance=QuantumScale*((double) GetPixelAlpha(image,r)-pixel.alpha); \
distance_squared+=(5.0-mean)*distance*distance; \
if (distance_squared < 0.069) \
{ \
aggregate.red+=(weight)*GetPixelRed(image,r); \
aggregate.green+=(weight)*GetPixelGreen(image,r); \
aggregate.blue+=(weight)*GetPixelBlue(image,r); \
aggregate.black+=(weight)*GetPixelBlack(image,r); \
aggregate.alpha+=(weight)*GetPixelAlpha(image,r); \
total_weight+=(weight); \
} \
r+=GetPixelChannels(image);
CacheView
*enhance_view,
*image_view;
Image
*enhance_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Initialize enhanced 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);
enhance_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (enhance_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(enhance_image,DirectClass,exception) == MagickFalse)
{
enhance_image=DestroyImage(enhance_image);
return((Image *) NULL);
}
/*
Enhance image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
enhance_view=AcquireAuthenticCacheView(enhance_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,enhance_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelInfo
pixel;
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
ssize_t
center;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-2,y-2,image->columns+4,5,exception);
q=QueueCacheViewAuthenticPixels(enhance_view,0,y,enhance_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
center=(ssize_t) GetPixelChannels(image)*(2*(image->columns+4)+2);
GetPixelInfo(image,&pixel);
for (x=0; x < (ssize_t) image->columns; x++)
{
double
distance,
distance_squared,
mean,
total_weight;
PixelInfo
aggregate;
register const Quantum
*magick_restrict r;
if (GetPixelWriteMask(image,p) <= (QuantumRange/2))
{
SetPixelBackgoundColor(enhance_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(enhance_image);
continue;
}
GetPixelInfo(image,&aggregate);
total_weight=0.0;
GetPixelInfoPixel(image,p+center,&pixel);
r=p;
EnhancePixel(5.0); EnhancePixel(8.0); EnhancePixel(10.0);
EnhancePixel(8.0); EnhancePixel(5.0);
r=p+GetPixelChannels(image)*(image->columns+4);
EnhancePixel(8.0); EnhancePixel(20.0); EnhancePixel(40.0);
EnhancePixel(20.0); EnhancePixel(8.0);
r=p+2*GetPixelChannels(image)*(image->columns+4);
EnhancePixel(10.0); EnhancePixel(40.0); EnhancePixel(80.0);
EnhancePixel(40.0); EnhancePixel(10.0);
r=p+3*GetPixelChannels(image)*(image->columns+4);
EnhancePixel(8.0); EnhancePixel(20.0); EnhancePixel(40.0);
EnhancePixel(20.0); EnhancePixel(8.0);
r=p+4*GetPixelChannels(image)*(image->columns+4);
EnhancePixel(5.0); EnhancePixel(8.0); EnhancePixel(10.0);
EnhancePixel(8.0); EnhancePixel(5.0);
pixel.red=((aggregate.red+total_weight/2.0)/total_weight);
pixel.green=((aggregate.green+total_weight/2.0)/total_weight);
pixel.blue=((aggregate.blue+total_weight/2.0)/total_weight);
pixel.black=((aggregate.black+total_weight/2.0)/total_weight);
pixel.alpha=((aggregate.alpha+total_weight/2.0)/total_weight);
SetPixelViaPixelInfo(image,&pixel,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(enhance_image);
}
if (SyncCacheViewAuthenticPixels(enhance_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_EnhanceImage)
#endif
proceed=SetImageProgress(image,EnhanceImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
enhance_view=DestroyCacheView(enhance_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
enhance_image=DestroyImage(enhance_image);
return(enhance_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E q u a l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EqualizeImage() applies a histogram equalization to the image.
%
% The format of the EqualizeImage method is:
%
% MagickBooleanType EqualizeImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType EqualizeImage(Image *image,
ExceptionInfo *exception)
{
#define EqualizeImageTag "Equalize/Image"
CacheView
*image_view;
double
black[CompositePixelChannel+1],
*equalize_map,
*histogram,
*map,
white[CompositePixelChannel+1];
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize histogram arrays.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateEqualizeImage(image,exception) != MagickFalse)
return(MagickTrue);
#endif
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
equalize_map=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*equalize_map));
histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*histogram));
map=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*sizeof(*map));
if ((equalize_map == (double *) NULL) || (histogram == (double *) NULL) ||
(map == (double *) NULL))
{
if (map != (double *) NULL)
map=(double *) RelinquishMagickMemory(map);
if (histogram != (double *) NULL)
histogram=(double *) RelinquishMagickMemory(histogram);
if (equalize_map != (double *) NULL)
equalize_map=(double *) RelinquishMagickMemory(equalize_map);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Form histogram.
*/
status=MagickTrue;
(void) ResetMagickMemory(histogram,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*histogram));
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
intensity;
intensity=p[i];
if ((image->channel_mask & SyncChannels) != 0)
intensity=GetPixelIntensity(image,p);
histogram[GetPixelChannels(image)*ScaleQuantumToMap(intensity)+i]++;
}
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Integrate the histogram to get the equalization map.
*/
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
intensity;
register ssize_t
j;
intensity=0.0;
for (j=0; j <= (ssize_t) MaxMap; j++)
{
intensity+=histogram[GetPixelChannels(image)*j+i];
map[GetPixelChannels(image)*j+i]=intensity;
}
}
(void) ResetMagickMemory(equalize_map,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*equalize_map));
(void) ResetMagickMemory(black,0,sizeof(*black));
(void) ResetMagickMemory(white,0,sizeof(*white));
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
register ssize_t
j;
black[i]=map[i];
white[i]=map[GetPixelChannels(image)*MaxMap+i];
if (black[i] != white[i])
for (j=0; j <= (ssize_t) MaxMap; j++)
equalize_map[GetPixelChannels(image)*j+i]=(double)
ScaleMapToQuantum((double) ((MaxMap*(map[
GetPixelChannels(image)*j+i]-black[i]))/(white[i]-black[i])));
}
histogram=(double *) RelinquishMagickMemory(histogram);
map=(double *) RelinquishMagickMemory(map);
if (image->storage_class == PseudoClass)
{
register ssize_t
j;
/*
Equalize colormap.
*/
for (j=0; j < (ssize_t) image->colors; j++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,RedPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].red=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].red))+
channel];
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,
GreenPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].green=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].green))+
channel];
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,BluePixelChannel);
if (black[channel] != white[channel])
image->colormap[j].blue=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].blue))+
channel];
}
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,
AlphaPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].alpha=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].alpha))+
channel];
}
}
}
/*
Equalize image.
*/
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (((traits & UpdatePixelTrait) == 0) || (black[j] == white[j]))
continue;
q[j]=ClampToQuantum(equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(q[j])+j]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_EqualizeImage)
#endif
proceed=SetImageProgress(image,EqualizeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
equalize_map=(double *) RelinquishMagickMemory(equalize_map);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G a m m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GammaImage() gamma-corrects a particular image channel. The same
% image viewed on different devices will have perceptual differences in the
% way the image's intensities are represented on the screen. Specify
% individual gamma levels for the red, green, and blue channels, or adjust
% all three with the gamma parameter. Values typically range from 0.8 to 2.3.
%
% You can also reduce the influence of a particular channel with a gamma
% value of 0.
%
% The format of the GammaImage method is:
%
% MagickBooleanType GammaImage(Image *image,const double gamma,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o level: the image gamma as a string (e.g. 1.6,1.2,1.0).
%
% o gamma: the image gamma.
%
*/
static inline double gamma_pow(const double value,const double gamma)
{
return(value < 0.0 ? value : pow(value,gamma));
}
MagickExport MagickBooleanType GammaImage(Image *image,const double gamma,
ExceptionInfo *exception)
{
#define GammaCorrectImageTag "GammaCorrect/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
Quantum
*gamma_map;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize gamma maps.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (gamma == 1.0)
return(MagickTrue);
gamma_map=(Quantum *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*gamma_map));
if (gamma_map == (Quantum *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
(void) ResetMagickMemory(gamma_map,0,(MaxMap+1)*sizeof(*gamma_map));
if (gamma != 0.0)
for (i=0; i <= (ssize_t) MaxMap; i++)
gamma_map[i]=ScaleMapToQuantum((double) (MaxMap*pow((double) i/
MaxMap,1.0/gamma)));
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Gamma-correct colormap.
*/
#if !defined(MAGICKCORE_HDRI_SUPPORT)
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].red))];
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].green))];
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].blue))];
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].alpha))];
#else
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].red,1.0/gamma);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].green,1.0/gamma);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].blue,1.0/gamma);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].alpha,1.0/gamma);
#endif
}
/*
Gamma-correct image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
#if !defined(MAGICKCORE_HDRI_SUPPORT)
q[j]=gamma_map[ScaleQuantumToMap(q[j])];
#else
q[j]=QuantumRange*gamma_pow(QuantumScale*q[j],1.0/gamma);
#endif
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GammaImage)
#endif
proceed=SetImageProgress(image,GammaCorrectImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
gamma_map=(Quantum *) RelinquishMagickMemory(gamma_map);
if (image->gamma != 0.0)
image->gamma*=gamma;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G r a y s c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GrayscaleImage() converts the image to grayscale.
%
% The format of the GrayscaleImage method is:
%
% MagickBooleanType GrayscaleImage(Image *image,
% const PixelIntensityMethod method ,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o method: the pixel intensity method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GrayscaleImage(Image *image,
const PixelIntensityMethod method,ExceptionInfo *exception)
{
#define GrayscaleImageTag "Grayscale/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
{
if (SyncImage(image,exception) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateGrayscaleImage(image,method,exception) != MagickFalse)
{
image->intensity=method;
image->type=GrayscaleType;
if ((method == Rec601LuminancePixelIntensityMethod) ||
(method == Rec709LuminancePixelIntensityMethod))
return(SetImageColorspace(image,LinearGRAYColorspace,exception));
return(SetImageColorspace(image,GRAYColorspace,exception));
}
#endif
/*
Grayscale image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
blue,
green,
red,
intensity;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
red=(MagickRealType) GetPixelRed(image,q);
green=(MagickRealType) GetPixelGreen(image,q);
blue=(MagickRealType) GetPixelBlue(image,q);
intensity=0.0;
switch (method)
{
case AveragePixelIntensityMethod:
{
intensity=(red+green+blue)/3.0;
break;
}
case BrightnessPixelIntensityMethod:
{
intensity=MagickMax(MagickMax(red,green),blue);
break;
}
case LightnessPixelIntensityMethod:
{
intensity=(MagickMin(MagickMin(red,green),blue)+
MagickMax(MagickMax(red,green),blue))/2.0;
break;
}
case MSPixelIntensityMethod:
{
intensity=(MagickRealType) (((double) red*red+green*green+
blue*blue)/3.0);
break;
}
case Rec601LumaPixelIntensityMethod:
{
if (image->colorspace == RGBColorspace)
{
red=EncodePixelGamma(red);
green=EncodePixelGamma(green);
blue=EncodePixelGamma(blue);
}
intensity=0.298839*red+0.586811*green+0.114350*blue;
break;
}
case Rec601LuminancePixelIntensityMethod:
{
if (image->colorspace == sRGBColorspace)
{
red=DecodePixelGamma(red);
green=DecodePixelGamma(green);
blue=DecodePixelGamma(blue);
}
intensity=0.298839*red+0.586811*green+0.114350*blue;
break;
}
case Rec709LumaPixelIntensityMethod:
default:
{
if (image->colorspace == RGBColorspace)
{
red=EncodePixelGamma(red);
green=EncodePixelGamma(green);
blue=EncodePixelGamma(blue);
}
intensity=0.212656*red+0.715158*green+0.072186*blue;
break;
}
case Rec709LuminancePixelIntensityMethod:
{
if (image->colorspace == sRGBColorspace)
{
red=DecodePixelGamma(red);
green=DecodePixelGamma(green);
blue=DecodePixelGamma(blue);
}
intensity=0.212656*red+0.715158*green+0.072186*blue;
break;
}
case RMSPixelIntensityMethod:
{
intensity=(MagickRealType) (sqrt((double) red*red+green*green+
blue*blue)/sqrt(3.0));
break;
}
}
SetPixelGray(image,ClampToQuantum(intensity),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GrayscaleImage)
#endif
proceed=SetImageProgress(image,GrayscaleImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
image->intensity=method;
image->type=GrayscaleType;
if ((method == Rec601LuminancePixelIntensityMethod) ||
(method == Rec709LuminancePixelIntensityMethod))
return(SetImageColorspace(image,LinearGRAYColorspace,exception));
return(SetImageColorspace(image,GRAYColorspace,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% H a l d C l u t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% HaldClutImage() applies a Hald color lookup table to the image. A Hald
% color lookup table is a 3-dimensional color cube mapped to 2 dimensions.
% Create it with the HALD coder. You can apply any color transformation to
% the Hald image and then use this method to apply the transform to the
% image.
%
% The format of the HaldClutImage method is:
%
% MagickBooleanType HaldClutImage(Image *image,Image *hald_image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image, which is replaced by indexed CLUT values
%
% o hald_image: the color lookup table image for replacement color values.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType HaldClutImage(Image *image,
const Image *hald_image,ExceptionInfo *exception)
{
#define HaldClutImageTag "Clut/Image"
typedef struct _HaldInfo
{
double
x,
y,
z;
} HaldInfo;
CacheView
*hald_view,
*image_view;
double
width;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
zero;
size_t
cube_size,
length,
level;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(hald_image != (Image *) NULL);
assert(hald_image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
/*
Hald clut image.
*/
status=MagickTrue;
progress=0;
length=(size_t) MagickMin((MagickRealType) hald_image->columns,
(MagickRealType) hald_image->rows);
for (level=2; (level*level*level) < length; level++) ;
level*=level;
cube_size=level*level;
width=(double) hald_image->columns;
GetPixelInfo(hald_image,&zero);
hald_view=AcquireVirtualCacheView(hald_image,exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
offset;
HaldInfo
point;
PixelInfo
pixel,
pixel1,
pixel2,
pixel3,
pixel4;
point.x=QuantumScale*(level-1.0)*GetPixelRed(image,q);
point.y=QuantumScale*(level-1.0)*GetPixelGreen(image,q);
point.z=QuantumScale*(level-1.0)*GetPixelBlue(image,q);
offset=point.x+level*floor(point.y)+cube_size*floor(point.z);
point.x-=floor(point.x);
point.y-=floor(point.y);
point.z-=floor(point.z);
pixel1=zero;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset,width),floor(offset/width),&pixel1,exception);
if (status == MagickFalse)
break;
pixel2=zero;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset+level,width),floor((offset+level)/width),&pixel2,exception);
if (status == MagickFalse)
break;
pixel3=zero;
CompositePixelInfoAreaBlend(&pixel1,pixel1.alpha,&pixel2,pixel2.alpha,
point.y,&pixel3);
offset+=cube_size;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset,width),floor(offset/width),&pixel1,exception);
if (status == MagickFalse)
break;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset+level,width),floor((offset+level)/width),&pixel2,exception);
if (status == MagickFalse)
break;
pixel4=zero;
CompositePixelInfoAreaBlend(&pixel1,pixel1.alpha,&pixel2,pixel2.alpha,
point.y,&pixel4);
pixel=zero;
CompositePixelInfoAreaBlend(&pixel3,pixel3.alpha,&pixel4,pixel4.alpha,
point.z,&pixel);
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
SetPixelRed(image,ClampToQuantum(pixel.red),q);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
SetPixelGreen(image,ClampToQuantum(pixel.green),q);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
SetPixelBlue(image,ClampToQuantum(pixel.blue),q);
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelBlack(image,ClampToQuantum(pixel.black),q);
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
(image->alpha_trait != UndefinedPixelTrait))
SetPixelAlpha(image,ClampToQuantum(pixel.alpha),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_HaldClutImage)
#endif
proceed=SetImageProgress(image,HaldClutImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
hald_view=DestroyCacheView(hald_view);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImage() adjusts the levels of a particular image channel by
% scaling the colors falling between specified white and black points to
% the full available quantum range.
%
% The parameters provided represent the black, and white points. The black
% point specifies the darkest color in the image. Colors darker than the
% black point are set to zero. White point specifies the lightest color in
% the image. Colors brighter than the white point are set to the maximum
% quantum value.
%
% If a '!' flag is given, map black and white colors to the given levels
% rather than mapping those levels to black and white. See
% LevelizeImage() below.
%
% Gamma specifies a gamma correction to apply to the image.
%
% The format of the LevelImage method is:
%
% MagickBooleanType LevelImage(Image *image,const double black_point,
% const double white_point,const double gamma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: The level to map zero (black) to.
%
% o white_point: The level to map QuantumRange (white) to.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline double LevelPixel(const double black_point,
const double white_point,const double gamma,const double pixel)
{
double
level_pixel,
scale;
if (fabs(white_point-black_point) < MagickEpsilon)
return(pixel);
scale=1.0/(white_point-black_point);
level_pixel=QuantumRange*gamma_pow(scale*((double) pixel-black_point),
1.0/gamma);
return(level_pixel);
}
MagickExport MagickBooleanType LevelImage(Image *image,const double black_point,
const double white_point,const double gamma,ExceptionInfo *exception)
{
#define LevelImageTag "Level/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Level colormap.
*/
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].red));
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].green));
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].blue));
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].alpha));
}
/*
Level image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=ClampToQuantum(LevelPixel(black_point,white_point,gamma,
(double) q[j]));
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_LevelImage)
#endif
proceed=SetImageProgress(image,LevelImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
(void) ClampImage(image,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelizeImage() applies the reversed LevelImage() operation to just
% the specific channels specified. It compresses the full range of color
% values, so that they lie between the given black and white points. Gamma is
% applied before the values are mapped.
%
% LevelizeImage() can be called with by using a +level command line
% API option, or using a '!' on a -level or LevelImage() geometry string.
%
% It can be used to de-contrast a greyscale image to the exact levels
% specified. Or by using specific levels for each channel of an image you
% can convert a gray-scale image to any linear color gradient, according to
% those levels.
%
% The format of the LevelizeImage method is:
%
% MagickBooleanType LevelizeImage(Image *image,const double black_point,
% const double white_point,const double gamma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: The level to map zero (black) to.
%
% o white_point: The level to map QuantumRange (white) to.
%
% o gamma: adjust gamma by this factor before mapping values.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType LevelizeImage(Image *image,
const double black_point,const double white_point,const double gamma,
ExceptionInfo *exception)
{
#define LevelizeImageTag "Levelize/Image"
#define LevelizeValue(x) ClampToQuantum(((MagickRealType) gamma_pow((double) \
(QuantumScale*(x)),gamma))*(white_point-black_point)+black_point)
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Level colormap.
*/
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) LevelizeValue(image->colormap[i].red);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) LevelizeValue(
image->colormap[i].green);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) LevelizeValue(image->colormap[i].blue);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) LevelizeValue(
image->colormap[i].alpha);
}
/*
Level image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=LevelizeValue(q[j]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_LevelizeImage)
#endif
proceed=SetImageProgress(image,LevelizeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImageColors() maps the given color to "black" and "white" values,
% linearly spreading out the colors, and level values on a channel by channel
% bases, as per LevelImage(). The given colors allows you to specify
% different level ranges for each of the color channels separately.
%
% If the boolean 'invert' is set true the image values will modifyed in the
% reverse direction. That is any existing "black" and "white" colors in the
% image will become the color values given, with all other values compressed
% appropriatally. This effectivally maps a greyscale gradient into the given
% color gradient.
%
% The format of the LevelImageColors method is:
%
% MagickBooleanType LevelImageColors(Image *image,
% const PixelInfo *black_color,const PixelInfo *white_color,
% const MagickBooleanType invert,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_color: The color to map black to/from
%
% o white_point: The color to map white to/from
%
% o invert: if true map the colors (levelize), rather than from (level)
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType LevelImageColors(Image *image,
const PixelInfo *black_color,const PixelInfo *white_color,
const MagickBooleanType invert,ExceptionInfo *exception)
{
ChannelType
channel_mask;
MagickStatusType
status;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
((IsGrayColorspace(black_color->colorspace) == MagickFalse) ||
(IsGrayColorspace(white_color->colorspace) == MagickFalse)))
(void) SetImageColorspace(image,sRGBColorspace,exception);
status=MagickTrue;
if (invert == MagickFalse)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,RedChannel);
status&=LevelImage(image,black_color->red,white_color->red,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,GreenChannel);
status&=LevelImage(image,black_color->green,white_color->green,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,BlueChannel);
status&=LevelImage(image,black_color->blue,white_color->blue,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
{
channel_mask=SetImageChannelMask(image,BlackChannel);
status&=LevelImage(image,black_color->black,white_color->black,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
(image->alpha_trait != UndefinedPixelTrait))
{
channel_mask=SetImageChannelMask(image,AlphaChannel);
status&=LevelImage(image,black_color->alpha,white_color->alpha,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
}
else
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,RedChannel);
status&=LevelizeImage(image,black_color->red,white_color->red,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,GreenChannel);
status&=LevelizeImage(image,black_color->green,white_color->green,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,BlueChannel);
status&=LevelizeImage(image,black_color->blue,white_color->blue,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
{
channel_mask=SetImageChannelMask(image,BlackChannel);
status&=LevelizeImage(image,black_color->black,white_color->black,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
(image->alpha_trait != UndefinedPixelTrait))
{
channel_mask=SetImageChannelMask(image,AlphaChannel);
status&=LevelizeImage(image,black_color->alpha,white_color->alpha,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
}
return(status != 0 ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i n e a r S t r e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LinearStretchImage() discards any pixels below the black point and above
% the white point and levels the remaining pixels.
%
% The format of the LinearStretchImage method is:
%
% MagickBooleanType LinearStretchImage(Image *image,
% const double black_point,const double white_point,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: the black point.
%
% o white_point: the white point.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType LinearStretchImage(Image *image,
const double black_point,const double white_point,ExceptionInfo *exception)
{
#define LinearStretchImageTag "LinearStretch/Image"
CacheView
*image_view;
double
*histogram,
intensity;
MagickBooleanType
status;
ssize_t
black,
white,
y;
/*
Allocate histogram and linear map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*histogram));
if (histogram == (double *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Form histogram.
*/
(void) ResetMagickMemory(histogram,0,(MaxMap+1)*sizeof(*histogram));
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
intensity=GetPixelIntensity(image,p);
histogram[ScaleQuantumToMap(ClampToQuantum(intensity))]++;
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Find the histogram boundaries by locating the black and white point levels.
*/
intensity=0.0;
for (black=0; black < (ssize_t) MaxMap; black++)
{
intensity+=histogram[black];
if (intensity >= black_point)
break;
}
intensity=0.0;
for (white=(ssize_t) MaxMap; white != 0; white--)
{
intensity+=histogram[white];
if (intensity >= white_point)
break;
}
histogram=(double *) RelinquishMagickMemory(histogram);
status=LevelImage(image,(double) ScaleMapToQuantum((MagickRealType) black),
(double) ScaleMapToQuantum((MagickRealType) white),1.0,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o d u l a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ModulateImage() lets you control the brightness, saturation, and hue
% of an image. Modulate represents the brightness, saturation, and hue
% as one parameter (e.g. 90,150,100). If the image colorspace is HSL, the
% modulation is lightness, saturation, and hue. For HWB, use blackness,
% whiteness, and hue. And for HCL, use chrome, luma, and hue.
%
% The format of the ModulateImage method is:
%
% MagickBooleanType ModulateImage(Image *image,const char *modulate,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o modulate: Define the percent change in brightness, saturation, and hue.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline void ModulateHCL(const double percent_hue,
const double percent_chroma,const double percent_luma,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToHCL(*red,*green,*blue,&hue,&chroma,&luma);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
chroma*=0.01*percent_chroma;
luma*=0.01*percent_luma;
ConvertHCLToRGB(hue,chroma,luma,red,green,blue);
}
static inline void ModulateHCLp(const double percent_hue,
const double percent_chroma,const double percent_luma,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToHCLp(*red,*green,*blue,&hue,&chroma,&luma);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
chroma*=0.01*percent_chroma;
luma*=0.01*percent_luma;
ConvertHCLpToRGB(hue,chroma,luma,red,green,blue);
}
static inline void ModulateHSB(const double percent_hue,
const double percent_saturation,const double percent_brightness,double *red,
double *green,double *blue)
{
double
brightness,
hue,
saturation;
/*
Increase or decrease color brightness, saturation, or hue.
*/
ConvertRGBToHSB(*red,*green,*blue,&hue,&saturation,&brightness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
brightness*=0.01*percent_brightness;
ConvertHSBToRGB(hue,saturation,brightness,red,green,blue);
}
static inline void ModulateHSI(const double percent_hue,
const double percent_saturation,const double percent_intensity,double *red,
double *green,double *blue)
{
double
intensity,
hue,
saturation;
/*
Increase or decrease color intensity, saturation, or hue.
*/
ConvertRGBToHSI(*red,*green,*blue,&hue,&saturation,&intensity);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
intensity*=0.01*percent_intensity;
ConvertHSIToRGB(hue,saturation,intensity,red,green,blue);
}
static inline void ModulateHSL(const double percent_hue,
const double percent_saturation,const double percent_lightness,double *red,
double *green,double *blue)
{
double
hue,
lightness,
saturation;
/*
Increase or decrease color lightness, saturation, or hue.
*/
ConvertRGBToHSL(*red,*green,*blue,&hue,&saturation,&lightness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
lightness*=0.01*percent_lightness;
ConvertHSLToRGB(hue,saturation,lightness,red,green,blue);
}
static inline void ModulateHSV(const double percent_hue,
const double percent_saturation,const double percent_value,double *red,
double *green,double *blue)
{
double
hue,
saturation,
value;
/*
Increase or decrease color value, saturation, or hue.
*/
ConvertRGBToHSV(*red,*green,*blue,&hue,&saturation,&value);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
value*=0.01*percent_value;
ConvertHSVToRGB(hue,saturation,value,red,green,blue);
}
static inline void ModulateHWB(const double percent_hue,
const double percent_whiteness,const double percent_blackness,double *red,
double *green,double *blue)
{
double
blackness,
hue,
whiteness;
/*
Increase or decrease color blackness, whiteness, or hue.
*/
ConvertRGBToHWB(*red,*green,*blue,&hue,&whiteness,&blackness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
blackness*=0.01*percent_blackness;
whiteness*=0.01*percent_whiteness;
ConvertHWBToRGB(hue,whiteness,blackness,red,green,blue);
}
static inline void ModulateLCHab(const double percent_luma,
const double percent_chroma,const double percent_hue,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToLCHab(*red,*green,*blue,&luma,&chroma,&hue);
luma*=0.01*percent_luma;
chroma*=0.01*percent_chroma;
hue+=fmod((percent_hue-100.0),200.0)/200.0;
ConvertLCHabToRGB(luma,chroma,hue,red,green,blue);
}
static inline void ModulateLCHuv(const double percent_luma,
const double percent_chroma,const double percent_hue,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToLCHuv(*red,*green,*blue,&luma,&chroma,&hue);
luma*=0.01*percent_luma;
chroma*=0.01*percent_chroma;
hue+=fmod((percent_hue-100.0),200.0)/200.0;
ConvertLCHuvToRGB(luma,chroma,hue,red,green,blue);
}
MagickExport MagickBooleanType ModulateImage(Image *image,const char *modulate,
ExceptionInfo *exception)
{
#define ModulateImageTag "Modulate/Image"
CacheView
*image_view;
ColorspaceType
colorspace;
const char
*artifact;
double
percent_brightness,
percent_hue,
percent_saturation;
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickStatusType
flags;
register ssize_t
i;
ssize_t
y;
/*
Initialize modulate table.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (modulate == (char *) NULL)
return(MagickFalse);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace,exception);
flags=ParseGeometry(modulate,&geometry_info);
percent_brightness=geometry_info.rho;
percent_saturation=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
percent_saturation=100.0;
percent_hue=geometry_info.xi;
if ((flags & XiValue) == 0)
percent_hue=100.0;
colorspace=UndefinedColorspace;
artifact=GetImageArtifact(image,"modulate:colorspace");
if (artifact != (const char *) NULL)
colorspace=(ColorspaceType) ParseCommandOption(MagickColorspaceOptions,
MagickFalse,artifact);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
double
blue,
green,
red;
/*
Modulate image colormap.
*/
red=(double) image->colormap[i].red;
green=(double) image->colormap[i].green;
blue=(double) image->colormap[i].blue;
switch (colorspace)
{
case HCLColorspace:
{
ModulateHCL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HCLpColorspace:
{
ModulateHCLp(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSBColorspace:
{
ModulateHSB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSIColorspace:
{
ModulateHSI(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSLColorspace:
default:
{
ModulateHSL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSVColorspace:
{
ModulateHSV(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HWBColorspace:
{
ModulateHWB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case LCHColorspace:
case LCHabColorspace:
{
ModulateLCHab(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
case LCHuvColorspace:
{
ModulateLCHuv(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
}
image->colormap[i].red=red;
image->colormap[i].green=green;
image->colormap[i].blue=blue;
}
/*
Modulate image.
*/
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateModulateImage(image,percent_brightness,percent_hue,
percent_saturation,colorspace,exception) != MagickFalse)
return(MagickTrue);
#endif
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
blue,
green,
red;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
red=(double) GetPixelRed(image,q);
green=(double) GetPixelGreen(image,q);
blue=(double) GetPixelBlue(image,q);
switch (colorspace)
{
case HCLColorspace:
{
ModulateHCL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HCLpColorspace:
{
ModulateHCLp(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSBColorspace:
{
ModulateHSB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSLColorspace:
default:
{
ModulateHSL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSVColorspace:
{
ModulateHSV(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HWBColorspace:
{
ModulateHWB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case LCHabColorspace:
{
ModulateLCHab(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
case LCHColorspace:
case LCHuvColorspace:
{
ModulateLCHuv(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
}
SetPixelRed(image,ClampToQuantum(red),q);
SetPixelGreen(image,ClampToQuantum(green),q);
SetPixelBlue(image,ClampToQuantum(blue),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ModulateImage)
#endif
proceed=SetImageProgress(image,ModulateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e g a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NegateImage() negates the colors in the reference image. The grayscale
% option means that only grayscale values within the image are negated.
%
% The format of the NegateImage method is:
%
% MagickBooleanType NegateImage(Image *image,
% const MagickBooleanType grayscale,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o grayscale: If MagickTrue, only negate grayscale pixels within the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType NegateImage(Image *image,
const MagickBooleanType grayscale,ExceptionInfo *exception)
{
#define NegateImageTag "Negate/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Negate colormap.
*/
if( grayscale != MagickFalse )
if ((image->colormap[i].red != image->colormap[i].green) ||
(image->colormap[i].green != image->colormap[i].blue))
continue;
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=QuantumRange-image->colormap[i].red;
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=QuantumRange-image->colormap[i].green;
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=QuantumRange-image->colormap[i].blue;
}
/*
Negate image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
if( grayscale != MagickFalse )
{
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if ((GetPixelWriteMask(image,q) <= (QuantumRange/2)) ||
IsPixelGray(image,q) != MagickFalse)
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=QuantumRange-q[j];
}
q+=GetPixelChannels(image);
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_NegateImage)
#endif
proceed=SetImageProgress(image,NegateImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(MagickTrue);
}
/*
Negate image.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=QuantumRange-q[j];
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_NegateImage)
#endif
proceed=SetImageProgress(image,NegateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N o r m a l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% The NormalizeImage() method enhances the contrast of a color image by
% mapping the darkest 2 percent of all pixel to black and the brightest
% 1 percent to white.
%
% The format of the NormalizeImage method is:
%
% MagickBooleanType NormalizeImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType NormalizeImage(Image *image,
ExceptionInfo *exception)
{
double
black_point,
white_point;
black_point=(double) image->columns*image->rows*0.0015;
white_point=(double) image->columns*image->rows*0.9995;
return(ContrastStretchImage(image,black_point,white_point,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S i g m o i d a l C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SigmoidalContrastImage() adjusts the contrast of an image with a non-linear
% sigmoidal contrast algorithm. Increase the contrast of the image using a
% sigmoidal transfer function without saturating highlights or shadows.
% Contrast indicates how much to increase the contrast (0 is none; 3 is
% typical; 20 is pushing it); mid-point indicates where midtones fall in the
% resultant image (0 is white; 50% is middle-gray; 100% is black). Set
% sharpen to MagickTrue to increase the image contrast otherwise the contrast
% is reduced.
%
% The format of the SigmoidalContrastImage method is:
%
% MagickBooleanType SigmoidalContrastImage(Image *image,
% const MagickBooleanType sharpen,const char *levels,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o sharpen: Increase or decrease image contrast.
%
% o contrast: strength of the contrast, the larger the number the more
% 'threshold-like' it becomes.
%
% o midpoint: midpoint of the function as a color value 0 to QuantumRange.
%
% o exception: return any errors or warnings in this structure.
%
*/
/*
ImageMagick 6 has a version of this function which uses LUTs.
*/
/*
Sigmoidal function Sigmoidal with inflexion point moved to b and "slope
constant" set to a.
The first version, based on the hyperbolic tangent tanh, when combined with
the scaling step, is an exact arithmetic clone of the the sigmoid function
based on the logistic curve. The equivalence is based on the identity
1/(1+exp(-t)) = (1+tanh(t/2))/2
(http://de.wikipedia.org/wiki/Sigmoidfunktion) and the fact that the
scaled sigmoidal derivation is invariant under affine transformations of
the ordinate.
The tanh version is almost certainly more accurate and cheaper. The 0.5
factor in the argument is to clone the legacy ImageMagick behavior. The
reason for making the define depend on atanh even though it only uses tanh
has to do with the construction of the inverse of the scaled sigmoidal.
*/
#if defined(MAGICKCORE_HAVE_ATANH)
#define Sigmoidal(a,b,x) ( tanh((0.5*(a))*((x)-(b))) )
#else
#define Sigmoidal(a,b,x) ( 1.0/(1.0+exp((a)*((b)-(x)))) )
#endif
/*
Scaled sigmoidal function:
( Sigmoidal(a,b,x) - Sigmoidal(a,b,0) ) /
( Sigmoidal(a,b,1) - Sigmoidal(a,b,0) )
See http://osdir.com/ml/video.image-magick.devel/2005-04/msg00006.html and
http://www.cs.dartmouth.edu/farid/downloads/tutorials/fip.pdf. The limit
of ScaledSigmoidal as a->0 is the identity, but a=0 gives a division by
zero. This is fixed below by exiting immediately when contrast is small,
leaving the image (or colormap) unmodified. This appears to be safe because
the series expansion of the logistic sigmoidal function around x=b is
1/2-a*(b-x)/4+...
so that the key denominator s(1)-s(0) is about a/4 (a/2 with tanh).
*/
#define ScaledSigmoidal(a,b,x) ( \
(Sigmoidal((a),(b),(x))-Sigmoidal((a),(b),0.0)) / \
(Sigmoidal((a),(b),1.0)-Sigmoidal((a),(b),0.0)) )
/*
Inverse of ScaledSigmoidal, used for +sigmoidal-contrast. Because b
may be 0 or 1, the argument of the hyperbolic tangent (resp. logistic
sigmoidal) may be outside of the interval (-1,1) (resp. (0,1)), even
when creating a LUT from in gamut values, hence the branching. In
addition, HDRI may have out of gamut values.
InverseScaledSigmoidal is not a two-sided inverse of ScaledSigmoidal:
It is only a right inverse. This is unavoidable.
*/
static inline double InverseScaledSigmoidal(const double a,const double b,
const double x)
{
const double sig0=Sigmoidal(a,b,0.0);
const double sig1=Sigmoidal(a,b,1.0);
const double argument=(sig1-sig0)*x+sig0;
const double clamped=
(
#if defined(MAGICKCORE_HAVE_ATANH)
argument < -1+MagickEpsilon
?
-1+MagickEpsilon
:
( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
);
return(b+(2.0/a)*atanh(clamped));
#else
argument < MagickEpsilon
?
MagickEpsilon
:
( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
);
return(b-log(1.0/clamped-1.0)/a);
#endif
}
MagickExport MagickBooleanType SigmoidalContrastImage(Image *image,
const MagickBooleanType sharpen,const double contrast,const double midpoint,
ExceptionInfo *exception)
{
#define SigmoidalContrastImageTag "SigmoidalContrast/Image"
#define ScaledSig(x) ( ClampToQuantum(QuantumRange* \
ScaledSigmoidal(contrast,QuantumScale*midpoint,QuantumScale*(x))) )
#define InverseScaledSig(x) ( ClampToQuantum(QuantumRange* \
InverseScaledSigmoidal(contrast,QuantumScale*midpoint,QuantumScale*(x))) )
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Convenience macros.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
/*
Side effect: may clamp values unless contrast<MagickEpsilon, in which
case nothing is done.
*/
if (contrast < MagickEpsilon)
return(MagickTrue);
/*
Sigmoidal-contrast enhance colormap.
*/
if (image->storage_class == PseudoClass)
{
register ssize_t
i;
if( sharpen != MagickFalse )
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(MagickRealType) ScaledSig(
image->colormap[i].red);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(MagickRealType) ScaledSig(
image->colormap[i].green);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(MagickRealType) ScaledSig(
image->colormap[i].blue);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(MagickRealType) ScaledSig(
image->colormap[i].alpha);
}
else
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(MagickRealType) InverseScaledSig(
image->colormap[i].red);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(MagickRealType) InverseScaledSig(
image->colormap[i].green);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(MagickRealType) InverseScaledSig(
image->colormap[i].blue);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(MagickRealType) InverseScaledSig(
image->colormap[i].alpha);
}
}
/*
Sigmoidal-contrast enhance image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if( sharpen != MagickFalse )
q[i]=ScaledSig(q[i]);
else
q[i]=InverseScaledSig(q[i]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SigmoidalContrastImage)
#endif
proceed=SetImageProgress(image,SigmoidalContrastImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
|
cg.c | /*--------------------------------------------------------------------
NAS Parallel Benchmarks 3.0 structured OpenMP C versions - CG
This benchmark is an OpenMP C version of the NPB CG code.
The OpenMP C 2.3 versions are derived by RWCP from the serial Fortran versions
in "NPB 2.3-serial" developed by NAS. 3.0 translation is performed by the UVSQ.
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 OpenMP activities at RWCP is available at:
http://pdplab.trc.rwcp.or.jp/pdperf/Omni/
Information on NAS Parallel Benchmarks 2.3 is available at:
http://www.nas.nasa.gov/NAS/NPB/
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
Authors: M. Yarrow
C. Kuszmaul
OpenMP C version: S. Satoh
3.0 structure translation: F. Conti
--------------------------------------------------------------------*/
/*
c---------------------------------------------------------------------
c Note: please observe that in the routine conj_grad three
c implementations of the sparse matrix-vector multiply have
c been supplied. The default matrix-vector multiply is not
c loop unrolled. The alternate implementations are unrolled
c to a depth of 2 and unrolled to a depth of 8. Please
c experiment with these to find the fastest for your particular
c architecture. If reporting timing results, any of these three may
c be used without penalty.
c---------------------------------------------------------------------
*/
#include "../common/npb-C.h"
#include "npbparams.h"
#include "../paging_benchmark.h"
#include <nautilus/nautilus.h>
#include <nautilus/shell.h>
#include "../math/nas_math.h"
#define NZ NA*(NONZER+1)*(NONZER+1)+NA*(NONZER+2)
/* global variables */
/* common /partit_size/ */
static int naa;
static int nzz;
static int firstrow;
static int lastrow;
static int firstcol;
static int lastcol;
/* common /main_int_mem/ */
static int colidx[NZ+1]; /* colidx[1:NZ] */
static int rowstr[NA+1+1]; /* rowstr[1:NA+1] */
static int iv[2*NA+1+1]; /* iv[1:2*NA+1] */
static int arow[NZ+1]; /* arow[1:NZ] */
static int acol[NZ+1]; /* acol[1:NZ] */
/* common /main_flt_mem/ */
static double v[NA+1+1]; /* v[1:NA+1] */
static double aelt[NZ+1]; /* aelt[1:NZ] */
static double a[NZ+1]; /* a[1:NZ] */
static double x[NA+2+1]; /* x[1:NA+2] */
static double z[NA+2+1]; /* z[1:NA+2] */
static double p[NA+2+1]; /* p[1:NA+2] */
static double q[NA+2+1]; /* q[1:NA+2] */
static double r[NA+2+1]; /* r[1:NA+2] */
//static double w[NA+2+1]; /* w[1:NA+2] */
/* common /urando/ */
static double amult;
static double tran;
/* function declarations */
static void conj_grad (int colidx[], int rowstr[], double x[], double z[],
double a[], double p[], double q[], double r[],
//double w[],
double *rnorm);
static void makea(int n, int nz, double a[], int colidx[], int rowstr[],
int nonzer, int firstrow, int lastrow, int firstcol,
int lastcol, double rcond, int arow[], int acol[],
double aelt[], double v[], int iv[], double shift );
static void sparse(double a[], int colidx[], int rowstr[], int n,
int arow[], int acol[], double aelt[],
int firstrow, int lastrow,
double x[], boolean mark[], int nzloc[], int nnza);
static void sprnvc(int n, int nz, double v[], int iv[], int nzloc[],
int mark[]);
static int icnvrt(double x, int ipwr2);
static void vecset(int n, double v[], int iv[], int *nzv, int i, double val);
/*--------------------------------------------------------------------
program cg
--------------------------------------------------------------------*/
static int program_CG(char *__buf, void* __priv);
static struct shell_cmd_impl nas_cg_impl = {
.cmd = "nas-cg",
.help_str = "NAS parallel benchmark CG",
.handler = program_CG,
};
nk_register_shell_cmd(nas_cg_impl);
#ifdef NAUT_CONFIG_ASPACE_PAGING
int program_CG_paging(char * _buf, void *_priv){
return paging_wrapper(_buf, _priv, &program_CG);
}
static struct shell_cmd_impl nas_cg_paging_impl = {
.cmd = "nas-cg-paging",
.help_str = "NAS parallel benchmark CG with paging",
.handler = program_CG_paging,
};
nk_register_shell_cmd(nas_cg_paging_impl);
#endif
/*--------------------------------------------------------------------
program CG
c-------------------------------------------------------------------*/
static int program_CG(char *__buf, void* __priv) {
int i, j, k, it;
int nthreads = 1;
double zeta;
double rnorm;
double norm_temp11;
double norm_temp12;
double t, mflops;
char class;
boolean verified;
double zeta_verify_value, epsilon;
firstrow = 1;
lastrow = NA;
firstcol = 1;
lastcol = NA;
if (NA == 1400 && NONZER == 7 && NITER == 15 && SHIFT == 10.0) {
class = 'S';
zeta_verify_value = 8.5971775078648;
} else if (NA == 7000 && NONZER == 8 && NITER == 15 && SHIFT == 12.0) {
class = 'W';
zeta_verify_value = 10.362595087124;
} else if (NA == 14000 && NONZER == 11 && NITER == 15 && SHIFT == 20.0) {
class = 'A';
zeta_verify_value = 17.130235054029;
} else if (NA == 75000 && NONZER == 13 && NITER == 75 && SHIFT == 60.0) {
class = 'B';
zeta_verify_value = 22.712745482631;
} else if (NA == 150000 && NONZER == 15 && NITER == 75 && SHIFT == 110.0) {
class = 'C';
zeta_verify_value = 28.973605592845;
} else {
class = 'U';
}
printf("\n\n NAS Parallel Benchmarks 3.0 structured OpenMP C version"
" - CG Benchmark\n");
printf(" Size: %10d\n", NA);
printf(" Iterations: %5d\n", NITER);
naa = NA;
nzz = NZ;
/*--------------------------------------------------------------------
c Initialize random number generator
c-------------------------------------------------------------------*/
tran = 314159265.0;
amult = 1220703125.0;
zeta = randlc( &tran, amult );
/*--------------------------------------------------------------------
c
c-------------------------------------------------------------------*/
makea(naa, nzz, a, colidx, rowstr, NONZER,
firstrow, lastrow, firstcol, lastcol,
RCOND, arow, acol, aelt, v, iv, SHIFT);
/*---------------------------------------------------------------------
c Note: as a result of the above call to makea:
c values of j used in indexing rowstr go from 1 --> lastrow-firstrow+1
c values of colidx which are col indexes go from firstcol --> lastcol
c So:
c Shift the col index vals from actual (firstcol --> lastcol )
c to local, i.e., (1 --> lastcol-firstcol+1)
c---------------------------------------------------------------------*/
#pragma omp parallel default(shared) private(i,j,k)
{
#pragma omp for nowait
for (j = 1; j <= lastrow - firstrow + 1; j++) {
for (k = rowstr[j]; k < rowstr[j+1]; k++) {
colidx[k] = colidx[k] - firstcol + 1;
}
}
/*--------------------------------------------------------------------
c set starting vector to (1, 1, .... 1)
c-------------------------------------------------------------------*/
#pragma omp for nowait
for (i = 1; i <= NA+1; i++) {
x[i] = 1.0;
}
#pragma omp for nowait
for (j = 1; j <= lastcol-firstcol+1; j++) {
q[j] = 0.0;
z[j] = 0.0;
r[j] = 0.0;
p[j] = 0.0;
}
}// end omp parallel
zeta = 0.0;
/*-------------------------------------------------------------------
c---->
c Do one iteration untimed to init all code and data page tables
c----> (then reinit, start timing, to niter its)
c-------------------------------------------------------------------*/
for (it = 1; it <= 1; it++) {
/*--------------------------------------------------------------------
c The call to the conjugate gradient routine:
c-------------------------------------------------------------------*/
conj_grad (colidx, rowstr, x, z, a, p, q, r,/* w,*/ &rnorm);
/*--------------------------------------------------------------------
c zeta = shift + 1/(x.z)
c So, first: (x.z)
c Also, find norm of z
c So, first: (z.z)
c-------------------------------------------------------------------*/
norm_temp11 = 0.0;
norm_temp12 = 0.0;
#pragma omp parallel for default(shared) private(j) reduction(+:norm_temp11,norm_temp12)
for (j = 1; j <= lastcol-firstcol+1; j++) {
norm_temp11 = norm_temp11 + x[j]*z[j];
norm_temp12 = norm_temp12 + z[j]*z[j];
}
norm_temp12 = 1.0 / sqrt( norm_temp12 );
/*--------------------------------------------------------------------
c Normalize z to obtain x
c-------------------------------------------------------------------*/
#pragma omp parallel for default(shared) private(j)
for (j = 1; j <= lastcol-firstcol+1; j++) {
x[j] = norm_temp12*z[j];
}
} /* end of do one iteration untimed */
/*--------------------------------------------------------------------
c set starting vector to (1, 1, .... 1)
c-------------------------------------------------------------------*/
#pragma omp parallel for default(shared) private(i)
for (i = 1; i <= NA+1; i++) {
x[i] = 1.0;
}
zeta = 0.0;
timer_clear( 1 );
timer_start( 1 );
/*--------------------------------------------------------------------
c---->
c Main Iteration for inverse power method
c---->
c-------------------------------------------------------------------*/
for (it = 1; it <= NITER; it++) {
/*--------------------------------------------------------------------
c The call to the conjugate gradient routine:
c-------------------------------------------------------------------*/
conj_grad(colidx, rowstr, x, z, a, p, q, r/*, w*/, &rnorm);
/*--------------------------------------------------------------------
c zeta = shift + 1/(x.z)
c So, first: (x.z)
c Also, find norm of z
c So, first: (z.z)
c-------------------------------------------------------------------*/
norm_temp11 = 0.0;
norm_temp12 = 0.0;
#pragma omp parallel for default(shared) private(j) reduction(+:norm_temp11,norm_temp12)
for (j = 1; j <= lastcol-firstcol+1; j++) {
norm_temp11 = norm_temp11 + x[j]*z[j];
norm_temp12 = norm_temp12 + z[j]*z[j];
}
norm_temp12 = 1.0 / sqrt( norm_temp12 );
zeta = SHIFT + 1.0 / norm_temp11;
if( it == 1 ) {
printf(" iteration ||r|| zeta\n");
}
printf(" %5d %20.14e%20.13e\n", it, rnorm, zeta);
/*--------------------------------------------------------------------
c Normalize z to obtain x
c-------------------------------------------------------------------*/
#pragma omp parallel for default(shared) private(j)
for (j = 1; j <= lastcol-firstcol+1; j++) {
x[j] = norm_temp12*z[j];
}
} /* end of main iter inv pow meth */
#pragma omp parallel
{
#if defined(_OPENMP)
#pragma omp master
nthreads = omp_get_num_threads();
#endif /* _OPENMP */
} /* end parallel */
timer_stop( 1 );
/*--------------------------------------------------------------------
c End of timed section
c-------------------------------------------------------------------*/
t = timer_read( 1 );
printf(" Benchmark completed\n");
epsilon = 1.0e-10;
if (class != 'U') {
if (fabs(zeta - zeta_verify_value) <= epsilon) {
verified = TRUE;
printf(" VERIFICATION SUCCESSFUL\n");
printf(" Zeta is %20.12e\n", zeta);
printf(" Error is %20.12e\n", zeta - zeta_verify_value);
} else {
verified = FALSE;
printf(" VERIFICATION FAILED\n");
printf(" Zeta %20.12e\n", zeta);
printf(" The correct zeta is %20.12e\n", zeta_verify_value);
}
} else {
verified = FALSE;
printf(" Problem size unknown\n");
printf(" NO VERIFICATION PERFORMED\n");
}
if ( t != 0.0 ) {
mflops = (2.0*NITER*NA)
* (3.0+(NONZER*(NONZER+1)) + 25.0*(5.0+(NONZER*(NONZER+1))) + 3.0 )
/ t / 1000000.0;
} else {
mflops = 0.0;
}
c_print_results("CG", class, NA, 0, 0, NITER, nthreads, t,
mflops, " floating point",
verified, NPBVERSION, COMPILETIME,
CS1, CS2, CS3, CS4, CS5, CS6, CS7);
return 0;
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void conj_grad (
int colidx[], /* colidx[1:nzz] */
int rowstr[], /* rowstr[1:naa+1] */
double x[], /* x[*] */
double z[], /* z[*] */
double a[], /* a[1:nzz] */
double p[], /* p[*] */
double q[], /* q[*] */
double r[], /* r[*] */
//double w[], /* w[*] */
double *rnorm )
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*---------------------------------------------------------------------
c Floaging point arrays here are named as in NPB1 spec discussion of
c CG algorithm
c---------------------------------------------------------------------*/
{
static int callcount = 0;
double d, sum, rho, rho0, alpha, beta;
int i, j, k;
int cgit, cgitmax = 25;
rho = 0.0;
#pragma omp parallel default(shared) private(j,sum) shared(rho,naa)
/*--------------------------------------------------------------------
c Initialize the CG algorithm:
c-------------------------------------------------------------------*/
{
#pragma omp for
for (j = 1; j <= naa+1; j++) {
q[j] = 0.0;
z[j] = 0.0;
r[j] = x[j];
p[j] = r[j];
//w[j] = 0.0;
}
/*--------------------------------------------------------------------
c rho = r.r
c Now, obtain the norm of r: First, sum squares of r elements locally...
c-------------------------------------------------------------------*/
#pragma omp for reduction(+:rho)
for (j = 1; j <= lastcol-firstcol+1; j++) {
rho = rho + r[j]*r[j];
}
}/* end omp parallel */
/*--------------------------------------------------------------------
c---->
c The conj grad iteration loop
c---->
c-------------------------------------------------------------------*/
for (cgit = 1; cgit <= cgitmax; cgit++) {
rho0 = rho;
d = 0.0;
rho = 0.0;
#pragma omp parallel default(shared) private(j,k,sum,alpha,beta) shared(d,rho0,rho)
{
/*--------------------------------------------------------------------
c q = A.p
c The partition submatrix-vector multiply: use workspace w
c---------------------------------------------------------------------
C
C NOTE: this version of the multiply is actually (slightly: maybe %5)
C faster on the sp2 on 16 nodes than is the unrolled-by-2 version
C below. On the Cray t3d, the reverse is true, i.e., the
C unrolled-by-two version is some 10% faster.
C The unrolled-by-8 version below is significantly faster
C on the Cray t3d - overall speed of code is 1.5 times faster.
*/
/* rolled version */
#pragma omp for
for (j = 1; j <= lastrow-firstrow+1; j++) {
sum = 0.0;
for (k = rowstr[j]; k < rowstr[j+1]; k++) {
sum = sum + a[k]*p[colidx[k]];
}
//w[j] = sum;
q[j] = sum;
}
/* unrolled-by-two version
#pragma omp for private(i,k)
for (j = 1; j <= lastrow-firstrow+1; j++) {
int iresidue;
double sum1, sum2;
i = rowstr[j];
iresidue = (rowstr[j+1]-i) % 2;
sum1 = 0.0;
sum2 = 0.0;
if (iresidue == 1) sum1 = sum1 + a[i]*p[colidx[i]];
for (k = i+iresidue; k <= rowstr[j+1]-2; k += 2) {
sum1 = sum1 + a[k] * p[colidx[k]];
sum2 = sum2 + a[k+1] * p[colidx[k+1]];
}
w[j] = sum1 + sum2;
}
*/
/* unrolled-by-8 version
#pragma omp for private(i,k,sum)
for (j = 1; j <= lastrow-firstrow+1; j++) {
int iresidue;
i = rowstr[j];
iresidue = (rowstr[j+1]-i) % 8;
sum = 0.0;
for (k = i; k <= i+iresidue-1; k++) {
sum = sum + a[k] * p[colidx[k]];
}
for (k = i+iresidue; k <= rowstr[j+1]-8; k += 8) {
sum = sum + a[k ] * p[colidx[k ]]
+ a[k+1] * p[colidx[k+1]]
+ a[k+2] * p[colidx[k+2]]
+ a[k+3] * p[colidx[k+3]]
+ a[k+4] * p[colidx[k+4]]
+ a[k+5] * p[colidx[k+5]]
+ a[k+6] * p[colidx[k+6]]
+ a[k+7] * p[colidx[k+7]];
}
w[j] = sum;
}
*/
/*
#pragma omp for
for (j = 1; j <= lastcol-firstcol+1; j++) {
q[j] = w[j];
}
*/
/*--------------------------------------------------------------------
c Clear w for reuse...
c-------------------------------------------------------------------*/
/*
#pragma omp for nowait
for (j = 1; j <= lastcol-firstcol+1; j++) {
w[j] = 0.0;
}
*/
/*--------------------------------------------------------------------
c Obtain p.q
c-------------------------------------------------------------------*/
#pragma omp for reduction(+:d)
for (j = 1; j <= lastcol-firstcol+1; j++) {
d = d + p[j]*q[j];
}
#pragma omp barrier
/*--------------------------------------------------------------------
c Obtain alpha = rho / (p.q)
c-------------------------------------------------------------------*/
//#pragma omp single
alpha = rho0 / d;
/*--------------------------------------------------------------------
c Save a temporary of rho
c-------------------------------------------------------------------*/
/* rho0 = rho;*/
/*---------------------------------------------------------------------
c Obtain z = z + alpha*p
c and r = r - alpha*q
c---------------------------------------------------------------------*/
#pragma omp for reduction(+:rho)
for (j = 1; j <= lastcol-firstcol+1; j++) {
z[j] = z[j] + alpha*p[j];
r[j] = r[j] - alpha*q[j];
// }
/*---------------------------------------------------------------------
c rho = r.r
c Now, obtain the norm of r: First, sum squares of r elements locally...
c---------------------------------------------------------------------*/
/*
#pragma omp for
for (j = 1; j <= lastcol-firstcol+1; j++) {*/
rho = rho + r[j]*r[j];
}
//#pragma omp barrier
/*--------------------------------------------------------------------
c Obtain beta:
c-------------------------------------------------------------------*/
//#pragma omp single
beta = rho / rho0;
/*--------------------------------------------------------------------
c p = r + beta*p
c-------------------------------------------------------------------*/
#pragma omp for nowait
for (j = 1; j <= lastcol-firstcol+1; j++) {
p[j] = r[j] + beta*p[j];
}
callcount++;
} /* end omp parallel */
} /* end of do cgit=1,cgitmax */
/*---------------------------------------------------------------------
c Compute residual norm explicitly: ||r|| = ||x - A.z||
c First, form A.z
c The partition submatrix-vector multiply
c---------------------------------------------------------------------*/
sum = 0.0;
#pragma omp parallel default(shared) private(j,d) shared(sum)
{
#pragma omp for //private(d, k)
for (j = 1; j <= lastrow-firstrow+1; j++) {
d = 0.0;
for (k = rowstr[j]; k <= rowstr[j+1]-1; k++) {
d = d + a[k]*z[colidx[k]];
}
r[j] = d;
}
/*--------------------------------------------------------------------
c At this point, r contains A.z
c-------------------------------------------------------------------*/
#pragma omp for reduction(+:sum)
for (j = 1; j <= lastcol-firstcol+1; j++) {
d = x[j] - r[j];
sum = sum + d*d;
}
} //end omp parallel
(*rnorm) = sqrt(sum);
}
/*---------------------------------------------------------------------
c generate the test problem for benchmark 6
c makea generates a sparse matrix with a
c prescribed sparsity distribution
c
c parameter type usage
c
c input
c
c n i number of cols/rows of matrix
c nz i nonzeros as declared array size
c rcond r*8 condition number
c shift r*8 main diagonal shift
c
c output
c
c a r*8 array for nonzeros
c colidx i col indices
c rowstr i row pointers
c
c workspace
c
c iv, arow, acol i
c v, aelt r*8
c---------------------------------------------------------------------*/
static void makea(
int n,
int nz,
double a[], /* a[1:nz] */
int colidx[], /* colidx[1:nz] */
int rowstr[], /* rowstr[1:n+1] */
int nonzer,
int firstrow,
int lastrow,
int firstcol,
int lastcol,
double rcond,
int arow[], /* arow[1:nz] */
int acol[], /* acol[1:nz] */
double aelt[], /* aelt[1:nz] */
double v[], /* v[1:n+1] */
int iv[], /* iv[1:2*n+1] */
double shift )
{
int i, nnza, iouter, ivelt, ivelt1, irow, nzv;
/*--------------------------------------------------------------------
c nonzer is approximately (int(sqrt(nnza /n)));
c-------------------------------------------------------------------*/
double size, ratio, scale;
int jcol;
size = 1.0;
ratio = pow(rcond, (1.0 / (double)n));
nnza = 0;
/*---------------------------------------------------------------------
c Initialize colidx(n+1 .. 2n) to zero.
c Used by sprnvc to mark nonzero positions
c---------------------------------------------------------------------*/
#pragma omp parallel for default(shared) private(i)
for (i = 1; i <= n; i++) {
colidx[n+i] = 0;
}
for (iouter = 1; iouter <= n; iouter++) {
nzv = nonzer;
sprnvc(n, nzv, v, iv, &(colidx[0]), &(colidx[n]));
vecset(n, v, iv, &nzv, iouter, 0.5);
for (ivelt = 1; ivelt <= nzv; ivelt++) {
jcol = iv[ivelt];
if (jcol >= firstcol && jcol <= lastcol) {
scale = size * v[ivelt];
for (ivelt1 = 1; ivelt1 <= nzv; ivelt1++) {
irow = iv[ivelt1];
if (irow >= firstrow && irow <= lastrow) {
nnza = nnza + 1;
if (nnza > nz) {
printf("Space for matrix elements exceeded in"
" makea\n");
printf("nnza, nzmax = %d, %d\n", nnza, nz);
printf("iouter = %d\n", iouter);
exit(1);
}
acol[nnza] = jcol;
arow[nnza] = irow;
aelt[nnza] = v[ivelt1] * scale;
}
}
}
}
size = size * ratio;
}
/*---------------------------------------------------------------------
c ... add the identity * rcond to the generated matrix to bound
c the smallest eigenvalue from below by rcond
c---------------------------------------------------------------------*/
for (i = firstrow; i <= lastrow; i++) {
if (i >= firstcol && i <= lastcol) {
iouter = n + i;
nnza = nnza + 1;
if (nnza > nz) {
printf("Space for matrix elements exceeded in makea\n");
printf("nnza, nzmax = %d, %d\n", nnza, nz);
printf("iouter = %d\n", iouter);
exit(1);
}
acol[nnza] = i;
arow[nnza] = i;
aelt[nnza] = rcond - shift;
}
}
/*---------------------------------------------------------------------
c ... make the sparse matrix from list of elements with duplicates
c (v and iv are used as workspace)
c---------------------------------------------------------------------*/
sparse(a, colidx, rowstr, n, arow, acol, aelt,
firstrow, lastrow, v, &(iv[0]), &(iv[n]), nnza);
}
/*---------------------------------------------------
c generate a sparse matrix from a list of
c [col, row, element] tri
c---------------------------------------------------*/
static void sparse(
double a[], /* a[1:*] */
int colidx[], /* colidx[1:*] */
int rowstr[], /* rowstr[1:*] */
int n,
int arow[], /* arow[1:*] */
int acol[], /* acol[1:*] */
double aelt[], /* aelt[1:*] */
int firstrow,
int lastrow,
double x[], /* x[1:n] */
boolean mark[], /* mark[1:n] */
int nzloc[], /* nzloc[1:n] */
int nnza)
/*---------------------------------------------------------------------
c rows range from firstrow to lastrow
c the rowstr pointers are defined for nrows = lastrow-firstrow+1 values
c---------------------------------------------------------------------*/
{
int nrows;
int i, j, jajp1, nza, k, nzrow;
double xi;
/*--------------------------------------------------------------------
c how many rows of result
c-------------------------------------------------------------------*/
nrows = lastrow - firstrow + 1;
/*--------------------------------------------------------------------
c ...count the number of triples in each row
c-------------------------------------------------------------------*/
#pragma omp parallel for default(shared) private(j)
for (j = 1; j <= n; j++) {
rowstr[j] = 0;
mark[j] = FALSE;
}
rowstr[n+1] = 0;
for (nza = 1; nza <= nnza; nza++) {
j = (arow[nza] - firstrow + 1) + 1;
rowstr[j] = rowstr[j] + 1;
}
rowstr[1] = 1;
for (j = 2; j <= nrows+1; j++) {
rowstr[j] = rowstr[j] + rowstr[j-1];
}
/*---------------------------------------------------------------------
c ... rowstr(j) now is the location of the first nonzero
c of row j of a
c---------------------------------------------------------------------*/
/*---------------------------------------------------------------------
c ... preload data pages
c---------------------------------------------------------------------*/
#pragma omp parallel for default(shared) private(k,j)
for(j = 0;j <= nrows-1;j++) {
for(k = rowstr[j];k <= rowstr[j+1]-1;k++)
a[k] = 0.0;
}
/*--------------------------------------------------------------------
c ... do a bucket sort of the triples on the row index
c-------------------------------------------------------------------*/
for (nza = 1; nza <= nnza; nza++) {
j = arow[nza] - firstrow + 1;
k = rowstr[j];
a[k] = aelt[nza];
colidx[k] = acol[nza];
rowstr[j] = rowstr[j] + 1;
}
/*--------------------------------------------------------------------
c ... rowstr(j) now points to the first element of row j+1
c-------------------------------------------------------------------*/
for (j = nrows; j >= 1; j--) {
rowstr[j+1] = rowstr[j];
}
rowstr[1] = 1;
/*--------------------------------------------------------------------
c ... generate the actual output rows by adding elements
c-------------------------------------------------------------------*/
nza = 0;
#pragma omp parallel for default(shared) private(i)
for (i = 1; i <= n; i++) {
x[i] = 0.0;
mark[i] = FALSE;
}
jajp1 = rowstr[1];
for (j = 1; j <= nrows; j++) {
nzrow = 0;
/*--------------------------------------------------------------------
c ...loop over the jth row of a
c-------------------------------------------------------------------*/
for (k = jajp1; k < rowstr[j+1]; k++) {
i = colidx[k];
x[i] = x[i] + a[k];
if ( mark[i] == FALSE && x[i] != 0.0) {
mark[i] = TRUE;
nzrow = nzrow + 1;
nzloc[nzrow] = i;
}
}
/*--------------------------------------------------------------------
c ... extract the nonzeros of this row
c-------------------------------------------------------------------*/
for (k = 1; k <= nzrow; k++) {
i = nzloc[k];
mark[i] = FALSE;
xi = x[i];
x[i] = 0.0;
if (xi != 0.0) {
nza = nza + 1;
a[nza] = xi;
colidx[nza] = i;
}
}
jajp1 = rowstr[j+1];
rowstr[j+1] = nza + rowstr[1];
}
}
/*---------------------------------------------------------------------
c generate a sparse n-vector (v, iv)
c having nzv nonzeros
c
c mark(i) is set to 1 if position i is nonzero.
c mark is all zero on entry and is reset to all zero before exit
c this corrects a performance bug found by John G. Lewis, caused by
c reinitialization of mark on every one of the n calls to sprnvc
---------------------------------------------------------------------*/
static void sprnvc(
int n,
int nz,
double v[], /* v[1:*] */
int iv[], /* iv[1:*] */
int nzloc[], /* nzloc[1:n] */
int mark[] ) /* mark[1:n] */
{
int nn1;
int nzrow, nzv, ii, i;
double vecelt, vecloc;
nzv = 0;
nzrow = 0;
nn1 = 1;
do {
nn1 = 2 * nn1;
} while (nn1 < n);
/*--------------------------------------------------------------------
c nn1 is the smallest power of two not less than n
c-------------------------------------------------------------------*/
while (nzv < nz) {
vecelt = randlc(&tran, amult);
/*--------------------------------------------------------------------
c generate an integer between 1 and n in a portable manner
c-------------------------------------------------------------------*/
vecloc = randlc(&tran, amult);
i = icnvrt(vecloc, nn1) + 1;
if (i > n) continue;
/*--------------------------------------------------------------------
c was this integer generated already?
c-------------------------------------------------------------------*/
if (mark[i] == 0) {
mark[i] = 1;
nzrow = nzrow + 1;
nzloc[nzrow] = i;
nzv = nzv + 1;
v[nzv] = vecelt;
iv[nzv] = i;
}
}
for (ii = 1; ii <= nzrow; ii++) {
i = nzloc[ii];
mark[i] = 0;
}
}
/*---------------------------------------------------------------------
* scale a double precision number x in (0,1) by a power of 2 and chop it
*---------------------------------------------------------------------*/
static int icnvrt(double x, int ipwr2) {
return ((int)(ipwr2 * x));
}
/*--------------------------------------------------------------------
c set ith element of sparse vector (v, iv) with
c nzv nonzeros to val
c-------------------------------------------------------------------*/
static void vecset(
int n,
double v[], /* v[1:*] */
int iv[], /* iv[1:*] */
int *nzv,
int i,
double val)
{
int k;
boolean set;
set = FALSE;
for (k = 1; k <= *nzv; k++) {
if (iv[k] == i) {
v[k] = val;
set = TRUE;
}
}
if (set == FALSE) {
*nzv = *nzv + 1;
v[*nzv] = val;
iv[*nzv] = i;
}
}
|
Example_taskloop_simd_reduction.1.c | /*
* @@name: taskloop_simd_reduction.1c
* @@type: C
* @@compilable: yes
* @@linkable: yes
* @@expect: success
* @@version: omp_5.0
*/
#include <stdio.h>
#define N 100
int main(){
int i, a[N], asum=0;
for(i=0;i<N;i++) a[i]=i;
// taskloop reductions
#pragma omp parallel master
#pragma omp taskloop reduction(+:asum) //taskloop 1
for(i=0;i<N;i++){ asum += a[i]; }
#pragma omp parallel reduction(task, +:asum) // parallel reduction a
{
#pragma omp master
#pragma omp task in_reduction(+:asum) //task 2
for(i=0;i<N;i++){ asum += a[i]; }
#pragma omp master taskloop in_reduction(+:asum) //taskloop 2
for(i=0;i<N;i++){ asum += a[i]; }
}
// taskloop simd reductions
#pragma omp parallel master
#pragma omp taskloop simd reduction(+:asum) //taskloop simd 3
for(i=0;i<N;i++){ asum += a[i]; }
#pragma omp parallel reduction(task, +:asum) // parallel reduction b
{
#pragma omp master
#pragma omp task in_reduction(+:asum) //task 4
for(i=0;i<N;i++){ asum += a[i]; }
#pragma omp master taskloop simd in_reduction(+:asum) //taskloop simd 4
for(i=0;i<N;i++){ asum += a[i]; }
}
printf("asum=%d \n",asum); // output: asum=29700
}
|
kmp_csupport.c | /*
* kmp_csupport.c -- kfront linkage support for OpenMP.
*/
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.txt for details.
//
//===----------------------------------------------------------------------===//
#include "omp.h" /* extern "C" declarations of user-visible routines */
#include "kmp.h"
#include "kmp_i18n.h"
#include "kmp_itt.h"
#include "kmp_error.h"
#include "kmp_stats.h"
#if OMPT_SUPPORT
#include "ompt-internal.h"
#include "ompt-specific.h"
#endif
#define MAX_MESSAGE 512
/* ------------------------------------------------------------------------ */
/* ------------------------------------------------------------------------ */
/* flags will be used in future, e.g., to implement */
/* openmp_strict library restrictions */
/*!
* @ingroup STARTUP_SHUTDOWN
* @param loc in source location information
* @param flags in for future use (currently ignored)
*
* Initialize the runtime library. This call is optional; if it is not made then
* it will be implicitly called by attempts to use other library functions.
*
*/
void
__kmpc_begin(ident_t *loc, kmp_int32 flags)
{
// By default __kmp_ignore_mppbeg() returns TRUE.
if (__kmp_ignore_mppbeg() == FALSE) {
__kmp_internal_begin();
KC_TRACE( 10, ("__kmpc_begin: called\n" ) );
}
}
/*!
* @ingroup STARTUP_SHUTDOWN
* @param loc source location information
*
* Shutdown the runtime library. This is also optional, and even if called will not
* do anything unless the `KMP_IGNORE_MPPEND` environment variable is set to zero.
*/
void
__kmpc_end(ident_t *loc)
{
// By default, __kmp_ignore_mppend() returns TRUE which makes __kmpc_end() call no-op.
// However, this can be overridden with KMP_IGNORE_MPPEND environment variable.
// If KMP_IGNORE_MPPEND is 0, __kmp_ignore_mppend() returns FALSE and __kmpc_end()
// will unregister this root (it can cause library shut down).
if (__kmp_ignore_mppend() == FALSE) {
KC_TRACE( 10, ("__kmpc_end: called\n" ) );
KA_TRACE( 30, ("__kmpc_end\n" ));
__kmp_internal_end_thread( -1 );
}
}
/*!
@ingroup THREAD_STATES
@param loc Source location information.
@return The global thread index of the active thread.
This function can be called in any context.
If the runtime has ony been entered at the outermost level from a
single (necessarily non-OpenMP<sup>*</sup>) thread, then the thread number is that
which would be returned by omp_get_thread_num() in the outermost
active parallel construct. (Or zero if there is no active parallel
construct, since the master thread is necessarily thread zero).
If multiple non-OpenMP threads all enter an OpenMP construct then this
will be a unique thread identifier among all the threads created by
the OpenMP runtime (but the value cannote be defined in terms of
OpenMP thread ids returned by omp_get_thread_num()).
*/
kmp_int32
__kmpc_global_thread_num(ident_t *loc)
{
kmp_int32 gtid = __kmp_entry_gtid();
KC_TRACE( 10, ("__kmpc_global_thread_num: T#%d\n", gtid ) );
return gtid;
}
/*!
@ingroup THREAD_STATES
@param loc Source location information.
@return The number of threads under control of the OpenMP<sup>*</sup> runtime
This function can be called in any context.
It returns the total number of threads under the control of the OpenMP runtime. That is
not a number that can be determined by any OpenMP standard calls, since the library may be
called from more than one non-OpenMP thread, and this reflects the total over all such calls.
Similarly the runtime maintains underlying threads even when they are not active (since the cost
of creating and destroying OS threads is high), this call counts all such threads even if they are not
waiting for work.
*/
kmp_int32
__kmpc_global_num_threads(ident_t *loc)
{
KC_TRACE( 10, ("__kmpc_global_num_threads: num_threads = %d\n", __kmp_nth ) );
return TCR_4(__kmp_nth);
}
/*!
@ingroup THREAD_STATES
@param loc Source location information.
@return The thread number of the calling thread in the innermost active parallel construct.
*/
kmp_int32
__kmpc_bound_thread_num(ident_t *loc)
{
KC_TRACE( 10, ("__kmpc_bound_thread_num: called\n" ) );
return __kmp_tid_from_gtid( __kmp_entry_gtid() );
}
/*!
@ingroup THREAD_STATES
@param loc Source location information.
@return The number of threads in the innermost active parallel construct.
*/
kmp_int32
__kmpc_bound_num_threads(ident_t *loc)
{
KC_TRACE( 10, ("__kmpc_bound_num_threads: called\n" ) );
return __kmp_entry_thread() -> th.th_team -> t.t_nproc;
}
/*!
* @ingroup DEPRECATED
* @param loc location description
*
* This function need not be called. It always returns TRUE.
*/
kmp_int32
__kmpc_ok_to_fork(ident_t *loc)
{
#ifndef KMP_DEBUG
return TRUE;
#else
const char *semi2;
const char *semi3;
int line_no;
if (__kmp_par_range == 0) {
return TRUE;
}
semi2 = loc->psource;
if (semi2 == NULL) {
return TRUE;
}
semi2 = strchr(semi2, ';');
if (semi2 == NULL) {
return TRUE;
}
semi2 = strchr(semi2 + 1, ';');
if (semi2 == NULL) {
return TRUE;
}
if (__kmp_par_range_filename[0]) {
const char *name = semi2 - 1;
while ((name > loc->psource) && (*name != '/') && (*name != ';')) {
name--;
}
if ((*name == '/') || (*name == ';')) {
name++;
}
if (strncmp(__kmp_par_range_filename, name, semi2 - name)) {
return __kmp_par_range < 0;
}
}
semi3 = strchr(semi2 + 1, ';');
if (__kmp_par_range_routine[0]) {
if ((semi3 != NULL) && (semi3 > semi2)
&& (strncmp(__kmp_par_range_routine, semi2 + 1, semi3 - semi2 - 1))) {
return __kmp_par_range < 0;
}
}
if (KMP_SSCANF(semi3 + 1, "%d", &line_no) == 1) {
if ((line_no >= __kmp_par_range_lb) && (line_no <= __kmp_par_range_ub)) {
return __kmp_par_range > 0;
}
return __kmp_par_range < 0;
}
return TRUE;
#endif /* KMP_DEBUG */
}
/*!
@ingroup THREAD_STATES
@param loc Source location information.
@return 1 if this thread is executing inside an active parallel region, zero if not.
*/
kmp_int32
__kmpc_in_parallel( ident_t *loc )
{
return __kmp_entry_thread() -> th.th_root -> r.r_active;
}
/*!
@ingroup PARALLEL
@param loc source location information
@param global_tid global thread number
@param num_threads number of threads requested for this parallel construct
Set the number of threads to be used by the next fork spawned by this thread.
This call is only required if the parallel construct has a `num_threads` clause.
*/
void
__kmpc_push_num_threads(ident_t *loc, kmp_int32 global_tid, kmp_int32 num_threads )
{
KA_TRACE( 20, ("__kmpc_push_num_threads: enter T#%d num_threads=%d\n",
global_tid, num_threads ) );
__kmp_push_num_threads( loc, global_tid, num_threads );
}
void
__kmpc_pop_num_threads(ident_t *loc, kmp_int32 global_tid )
{
KA_TRACE( 20, ("__kmpc_pop_num_threads: enter\n" ) );
/* the num_threads are automatically popped */
}
#if OMP_40_ENABLED
void
__kmpc_push_proc_bind(ident_t *loc, kmp_int32 global_tid, kmp_int32 proc_bind )
{
KA_TRACE( 20, ("__kmpc_push_proc_bind: enter T#%d proc_bind=%d\n",
global_tid, proc_bind ) );
__kmp_push_proc_bind( loc, global_tid, (kmp_proc_bind_t)proc_bind );
}
#endif /* OMP_40_ENABLED */
/*!
@ingroup PARALLEL
@param loc source location information
@param argc total number of arguments in the ellipsis
@param microtask pointer to callback routine consisting of outlined parallel construct
@param ... pointers to shared variables that aren't global
Do the actual fork and call the microtask in the relevant number of threads.
*/
void
__kmpc_fork_call(ident_t *loc, kmp_int32 argc, kmpc_micro microtask, ...)
{
int gtid = __kmp_entry_gtid();
#if (KMP_STATS_ENABLED)
int inParallel = __kmpc_in_parallel(loc);
if (inParallel)
{
KMP_COUNT_BLOCK(OMP_NESTED_PARALLEL);
}
else
{
KMP_STOP_EXPLICIT_TIMER(OMP_serial);
KMP_COUNT_BLOCK(OMP_PARALLEL);
}
#endif
// maybe to save thr_state is enough here
{
va_list ap;
va_start( ap, microtask );
#if OMPT_SUPPORT
int tid = __kmp_tid_from_gtid( gtid );
kmp_info_t *master_th = __kmp_threads[ gtid ];
kmp_team_t *parent_team = master_th->th.th_team;
if (ompt_enabled) {
parent_team->t.t_implicit_task_taskdata[tid].
ompt_task_info.frame.reenter_runtime_frame = __builtin_frame_address(0);
}
#endif
#if INCLUDE_SSC_MARKS
SSC_MARK_FORKING();
#endif
__kmp_fork_call( loc, gtid, fork_context_intel,
argc,
#if OMPT_SUPPORT
VOLATILE_CAST(void *) microtask, // "unwrapped" task
#endif
VOLATILE_CAST(microtask_t) microtask, // "wrapped" task
VOLATILE_CAST(launch_t) __kmp_invoke_task_func,
/* TODO: revert workaround for Intel(R) 64 tracker #96 */
#if (KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64) && KMP_OS_LINUX
&ap
#else
ap
#endif
);
#if INCLUDE_SSC_MARKS
SSC_MARK_JOINING();
#endif
__kmp_join_call( loc, gtid
#if OMPT_SUPPORT
, fork_context_intel
#endif
);
va_end( ap );
#if OMPT_SUPPORT
if (ompt_enabled) {
parent_team->t.t_implicit_task_taskdata[tid].
ompt_task_info.frame.reenter_runtime_frame = 0;
}
#endif
}
#if (KMP_STATS_ENABLED)
if (!inParallel)
KMP_START_EXPLICIT_TIMER(OMP_serial);
#endif
}
#if OMP_40_ENABLED
/*!
@ingroup PARALLEL
@param loc source location information
@param global_tid global thread number
@param num_teams number of teams requested for the teams construct
@param num_threads number of threads per team requested for the teams construct
Set the number of teams to be used by the teams construct.
This call is only required if the teams construct has a `num_teams` clause
or a `thread_limit` clause (or both).
*/
void
__kmpc_push_num_teams(ident_t *loc, kmp_int32 global_tid, kmp_int32 num_teams, kmp_int32 num_threads )
{
KA_TRACE( 20, ("__kmpc_push_num_teams: enter T#%d num_teams=%d num_threads=%d\n",
global_tid, num_teams, num_threads ) );
__kmp_push_num_teams( loc, global_tid, num_teams, num_threads );
}
/*!
@ingroup PARALLEL
@param loc source location information
@param argc total number of arguments in the ellipsis
@param microtask pointer to callback routine consisting of outlined teams construct
@param ... pointers to shared variables that aren't global
Do the actual fork and call the microtask in the relevant number of threads.
*/
void
__kmpc_fork_teams(ident_t *loc, kmp_int32 argc, kmpc_micro microtask, ...)
{
int gtid = __kmp_entry_gtid();
kmp_info_t *this_thr = __kmp_threads[ gtid ];
va_list ap;
va_start( ap, microtask );
KMP_COUNT_BLOCK(OMP_TEAMS);
// remember teams entry point and nesting level
this_thr->th.th_teams_microtask = microtask;
this_thr->th.th_teams_level = this_thr->th.th_team->t.t_level; // AC: can be >0 on host
#if OMPT_SUPPORT
kmp_team_t *parent_team = this_thr->th.th_team;
int tid = __kmp_tid_from_gtid( gtid );
if (ompt_enabled) {
parent_team->t.t_implicit_task_taskdata[tid].
ompt_task_info.frame.reenter_runtime_frame = __builtin_frame_address(0);
}
#endif
// check if __kmpc_push_num_teams called, set default number of teams otherwise
if ( this_thr->th.th_teams_size.nteams == 0 ) {
__kmp_push_num_teams( loc, gtid, 0, 0 );
}
KMP_DEBUG_ASSERT(this_thr->th.th_set_nproc >= 1);
KMP_DEBUG_ASSERT(this_thr->th.th_teams_size.nteams >= 1);
KMP_DEBUG_ASSERT(this_thr->th.th_teams_size.nth >= 1);
__kmp_fork_call( loc, gtid, fork_context_intel,
argc,
#if OMPT_SUPPORT
VOLATILE_CAST(void *) microtask, // "unwrapped" task
#endif
VOLATILE_CAST(microtask_t) __kmp_teams_master, // "wrapped" task
VOLATILE_CAST(launch_t) __kmp_invoke_teams_master,
#if (KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64) && KMP_OS_LINUX
&ap
#else
ap
#endif
);
__kmp_join_call( loc, gtid
#if OMPT_SUPPORT
, fork_context_intel
#endif
);
#if OMPT_SUPPORT
if (ompt_enabled) {
parent_team->t.t_implicit_task_taskdata[tid].
ompt_task_info.frame.reenter_runtime_frame = NULL;
}
#endif
this_thr->th.th_teams_microtask = NULL;
this_thr->th.th_teams_level = 0;
*(kmp_int64*)(&this_thr->th.th_teams_size) = 0L;
va_end( ap );
}
#endif /* OMP_40_ENABLED */
//
// I don't think this function should ever have been exported.
// The __kmpc_ prefix was misapplied. I'm fairly certain that no generated
// openmp code ever called it, but it's been exported from the RTL for so
// long that I'm afraid to remove the definition.
//
int
__kmpc_invoke_task_func( int gtid )
{
return __kmp_invoke_task_func( gtid );
}
/*!
@ingroup PARALLEL
@param loc source location information
@param global_tid global thread number
Enter a serialized parallel construct. This interface is used to handle a
conditional parallel region, like this,
@code
#pragma omp parallel if (condition)
@endcode
when the condition is false.
*/
void
__kmpc_serialized_parallel(ident_t *loc, kmp_int32 global_tid)
{
__kmp_serialized_parallel(loc, global_tid); /* The implementation is now in kmp_runtime.c so that it can share static functions with
* kmp_fork_call since the tasks to be done are similar in each case.
*/
}
/*!
@ingroup PARALLEL
@param loc source location information
@param global_tid global thread number
Leave a serialized parallel construct.
*/
void
__kmpc_end_serialized_parallel(ident_t *loc, kmp_int32 global_tid)
{
kmp_internal_control_t *top;
kmp_info_t *this_thr;
kmp_team_t *serial_team;
KC_TRACE( 10, ("__kmpc_end_serialized_parallel: called by T#%d\n", global_tid ) );
/* skip all this code for autopar serialized loops since it results in
unacceptable overhead */
if( loc != NULL && (loc->flags & KMP_IDENT_AUTOPAR ) )
return;
// Not autopar code
if( ! TCR_4( __kmp_init_parallel ) )
__kmp_parallel_initialize();
this_thr = __kmp_threads[ global_tid ];
serial_team = this_thr->th.th_serial_team;
#if OMP_41_ENABLED
kmp_task_team_t * task_team = this_thr->th.th_task_team;
// we need to wait for the proxy tasks before finishing the thread
if ( task_team != NULL && task_team->tt.tt_found_proxy_tasks )
__kmp_task_team_wait(this_thr, serial_team, NULL ); // is an ITT object needed here?
#endif
KMP_MB();
KMP_DEBUG_ASSERT( serial_team );
KMP_ASSERT( serial_team -> t.t_serialized );
KMP_DEBUG_ASSERT( this_thr -> th.th_team == serial_team );
KMP_DEBUG_ASSERT( serial_team != this_thr->th.th_root->r.r_root_team );
KMP_DEBUG_ASSERT( serial_team -> t.t_threads );
KMP_DEBUG_ASSERT( serial_team -> t.t_threads[0] == this_thr );
/* If necessary, pop the internal control stack values and replace the team values */
top = serial_team -> t.t_control_stack_top;
if ( top && top -> serial_nesting_level == serial_team -> t.t_serialized ) {
copy_icvs( &serial_team -> t.t_threads[0] -> th.th_current_task -> td_icvs, top );
serial_team -> t.t_control_stack_top = top -> next;
__kmp_free(top);
}
//if( serial_team -> t.t_serialized > 1 )
serial_team -> t.t_level--;
/* pop dispatch buffers stack */
KMP_DEBUG_ASSERT(serial_team->t.t_dispatch->th_disp_buffer);
{
dispatch_private_info_t * disp_buffer = serial_team->t.t_dispatch->th_disp_buffer;
serial_team->t.t_dispatch->th_disp_buffer =
serial_team->t.t_dispatch->th_disp_buffer->next;
__kmp_free( disp_buffer );
}
-- serial_team -> t.t_serialized;
if ( serial_team -> t.t_serialized == 0 ) {
/* return to the parallel section */
#if KMP_ARCH_X86 || KMP_ARCH_X86_64
if ( __kmp_inherit_fp_control && serial_team->t.t_fp_control_saved ) {
__kmp_clear_x87_fpu_status_word();
__kmp_load_x87_fpu_control_word( &serial_team->t.t_x87_fpu_control_word );
__kmp_load_mxcsr( &serial_team->t.t_mxcsr );
}
#endif /* KMP_ARCH_X86 || KMP_ARCH_X86_64 */
this_thr -> th.th_team = serial_team -> t.t_parent;
this_thr -> th.th_info.ds.ds_tid = serial_team -> t.t_master_tid;
/* restore values cached in the thread */
this_thr -> th.th_team_nproc = serial_team -> t.t_parent -> t.t_nproc; /* JPH */
this_thr -> th.th_team_master = serial_team -> t.t_parent -> t.t_threads[0]; /* JPH */
this_thr -> th.th_team_serialized = this_thr -> th.th_team -> t.t_serialized;
/* TODO the below shouldn't need to be adjusted for serialized teams */
this_thr -> th.th_dispatch = & this_thr -> th.th_team ->
t.t_dispatch[ serial_team -> t.t_master_tid ];
__kmp_pop_current_task_from_thread( this_thr );
KMP_ASSERT( this_thr -> th.th_current_task -> td_flags.executing == 0 );
this_thr -> th.th_current_task -> td_flags.executing = 1;
if ( __kmp_tasking_mode != tskm_immediate_exec ) {
// Copy the task team from the new child / old parent team to the thread.
this_thr->th.th_task_team = this_thr->th.th_team->t.t_task_team[this_thr->th.th_task_state];
KA_TRACE( 20, ( "__kmpc_end_serialized_parallel: T#%d restoring task_team %p / team %p\n",
global_tid, this_thr -> th.th_task_team, this_thr -> th.th_team ) );
}
} else {
if ( __kmp_tasking_mode != tskm_immediate_exec ) {
KA_TRACE( 20, ( "__kmpc_end_serialized_parallel: T#%d decreasing nesting depth of serial team %p to %d\n",
global_tid, serial_team, serial_team -> t.t_serialized ) );
}
}
#if USE_ITT_BUILD
kmp_uint64 cur_time = 0;
#if USE_ITT_NOTIFY
if ( __itt_get_timestamp_ptr ) {
cur_time = __itt_get_timestamp();
}
#endif /* USE_ITT_NOTIFY */
if ( this_thr->th.th_team->t.t_level == 0
#if OMP_40_ENABLED
&& this_thr->th.th_teams_microtask == NULL
#endif
) {
// Report the barrier
this_thr->th.th_ident = loc;
if ( ( __itt_frame_submit_v3_ptr || KMP_ITT_DEBUG ) &&
( __kmp_forkjoin_frames_mode == 3 || __kmp_forkjoin_frames_mode == 1 ) )
{
__kmp_itt_frame_submit( global_tid, this_thr->th.th_frame_time_serialized,
cur_time, 0, loc, this_thr->th.th_team_nproc, 0 );
if ( __kmp_forkjoin_frames_mode == 3 )
// Since barrier frame for serialized region is equal to the region we use the same begin timestamp as for the barrier.
__kmp_itt_frame_submit( global_tid, serial_team->t.t_region_time,
cur_time, 0, loc, this_thr->th.th_team_nproc, 2 );
} else if ( ( __itt_frame_end_v3_ptr || KMP_ITT_DEBUG ) &&
! __kmp_forkjoin_frames_mode && __kmp_forkjoin_frames )
// Mark the end of the "parallel" region for VTune. Only use one of frame notification scheme at the moment.
__kmp_itt_region_joined( global_tid, 1 );
}
#endif /* USE_ITT_BUILD */
if ( __kmp_env_consistency_check )
__kmp_pop_parallel( global_tid, NULL );
}
/*!
@ingroup SYNCHRONIZATION
@param loc source location information.
Execute <tt>flush</tt>. This is implemented as a full memory fence. (Though
depending on the memory ordering convention obeyed by the compiler
even that may not be necessary).
*/
void
__kmpc_flush(ident_t *loc)
{
KC_TRACE( 10, ("__kmpc_flush: called\n" ) );
/* need explicit __mf() here since use volatile instead in library */
KMP_MB(); /* Flush all pending memory write invalidates. */
#if ( KMP_ARCH_X86 || KMP_ARCH_X86_64 )
#if KMP_MIC
// fence-style instructions do not exist, but lock; xaddl $0,(%rsp) can be used.
// We shouldn't need it, though, since the ABI rules require that
// * If the compiler generates NGO stores it also generates the fence
// * If users hand-code NGO stores they should insert the fence
// therefore no incomplete unordered stores should be visible.
#else
// C74404
// This is to address non-temporal store instructions (sfence needed).
// The clflush instruction is addressed either (mfence needed).
// Probably the non-temporal load monvtdqa instruction should also be addressed.
// mfence is a SSE2 instruction. Do not execute it if CPU is not SSE2.
if ( ! __kmp_cpuinfo.initialized ) {
__kmp_query_cpuid( & __kmp_cpuinfo );
}; // if
if ( ! __kmp_cpuinfo.sse2 ) {
// CPU cannot execute SSE2 instructions.
} else {
#if KMP_COMPILER_ICC || KMP_COMPILER_MSVC
_mm_mfence();
#else
__sync_synchronize();
#endif // KMP_COMPILER_ICC
}; // if
#endif // KMP_MIC
#elif (KMP_ARCH_ARM || KMP_ARCH_AARCH64)
// Nothing to see here move along
#elif KMP_ARCH_PPC64
// Nothing needed here (we have a real MB above).
#if KMP_OS_CNK
// The flushing thread needs to yield here; this prevents a
// busy-waiting thread from saturating the pipeline. flush is
// often used in loops like this:
// while (!flag) {
// #pragma omp flush(flag)
// }
// and adding the yield here is good for at least a 10x speedup
// when running >2 threads per core (on the NAS LU benchmark).
__kmp_yield(TRUE);
#endif
#else
#error Unknown or unsupported architecture
#endif
}
/* -------------------------------------------------------------------------- */
/* -------------------------------------------------------------------------- */
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid thread id.
Execute a barrier.
*/
void
__kmpc_barrier(ident_t *loc, kmp_int32 global_tid)
{
KMP_COUNT_BLOCK(OMP_BARRIER);
KMP_TIME_BLOCK(OMP_barrier);
KC_TRACE( 10, ("__kmpc_barrier: called T#%d\n", global_tid ) );
if (! TCR_4(__kmp_init_parallel))
__kmp_parallel_initialize();
if ( __kmp_env_consistency_check ) {
if ( loc == 0 ) {
KMP_WARNING( ConstructIdentInvalid ); // ??? What does it mean for the user?
}; // if
__kmp_check_barrier( global_tid, ct_barrier, loc );
}
__kmp_threads[ global_tid ]->th.th_ident = loc;
// TODO: explicit barrier_wait_id:
// this function is called when 'barrier' directive is present or
// implicit barrier at the end of a worksharing construct.
// 1) better to add a per-thread barrier counter to a thread data structure
// 2) set to 0 when a new team is created
// 4) no sync is required
__kmp_barrier( bs_plain_barrier, global_tid, FALSE, 0, NULL, NULL );
}
/* The BARRIER for a MASTER section is always explicit */
/*!
@ingroup WORK_SHARING
@param loc source location information.
@param global_tid global thread number .
@return 1 if this thread should execute the <tt>master</tt> block, 0 otherwise.
*/
kmp_int32
__kmpc_master(ident_t *loc, kmp_int32 global_tid)
{
KMP_COUNT_BLOCK(OMP_MASTER);
int status = 0;
KC_TRACE( 10, ("__kmpc_master: called T#%d\n", global_tid ) );
if( ! TCR_4( __kmp_init_parallel ) )
__kmp_parallel_initialize();
if( KMP_MASTER_GTID( global_tid )) {
KMP_START_EXPLICIT_TIMER(OMP_master);
status = 1;
}
#if OMPT_SUPPORT && OMPT_TRACE
if (status) {
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_master_begin)) {
kmp_info_t *this_thr = __kmp_threads[ global_tid ];
kmp_team_t *team = this_thr -> th.th_team;
int tid = __kmp_tid_from_gtid( global_tid );
ompt_callbacks.ompt_callback(ompt_event_master_begin)(
team->t.ompt_team_info.parallel_id,
team->t.t_implicit_task_taskdata[tid].ompt_task_info.task_id);
}
}
#endif
if ( __kmp_env_consistency_check ) {
#if KMP_USE_DYNAMIC_LOCK
if (status)
__kmp_push_sync( global_tid, ct_master, loc, NULL, 0 );
else
__kmp_check_sync( global_tid, ct_master, loc, NULL, 0 );
#else
if (status)
__kmp_push_sync( global_tid, ct_master, loc, NULL );
else
__kmp_check_sync( global_tid, ct_master, loc, NULL );
#endif
}
return status;
}
/*!
@ingroup WORK_SHARING
@param loc source location information.
@param global_tid global thread number .
Mark the end of a <tt>master</tt> region. This should only be called by the thread
that executes the <tt>master</tt> region.
*/
void
__kmpc_end_master(ident_t *loc, kmp_int32 global_tid)
{
KC_TRACE( 10, ("__kmpc_end_master: called T#%d\n", global_tid ) );
KMP_DEBUG_ASSERT( KMP_MASTER_GTID( global_tid ));
KMP_STOP_EXPLICIT_TIMER(OMP_master);
#if OMPT_SUPPORT && OMPT_TRACE
kmp_info_t *this_thr = __kmp_threads[ global_tid ];
kmp_team_t *team = this_thr -> th.th_team;
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_master_end)) {
int tid = __kmp_tid_from_gtid( global_tid );
ompt_callbacks.ompt_callback(ompt_event_master_end)(
team->t.ompt_team_info.parallel_id,
team->t.t_implicit_task_taskdata[tid].ompt_task_info.task_id);
}
#endif
if ( __kmp_env_consistency_check ) {
if( global_tid < 0 )
KMP_WARNING( ThreadIdentInvalid );
if( KMP_MASTER_GTID( global_tid ))
__kmp_pop_sync( global_tid, ct_master, loc );
}
}
/*!
@ingroup WORK_SHARING
@param loc source location information.
@param gtid global thread number.
Start execution of an <tt>ordered</tt> construct.
*/
void
__kmpc_ordered( ident_t * loc, kmp_int32 gtid )
{
int cid = 0;
kmp_info_t *th;
KMP_DEBUG_ASSERT( __kmp_init_serial );
KC_TRACE( 10, ("__kmpc_ordered: called T#%d\n", gtid ));
if (! TCR_4(__kmp_init_parallel))
__kmp_parallel_initialize();
#if USE_ITT_BUILD
__kmp_itt_ordered_prep( gtid );
// TODO: ordered_wait_id
#endif /* USE_ITT_BUILD */
th = __kmp_threads[ gtid ];
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled) {
/* OMPT state update */
th->th.ompt_thread_info.wait_id = (uint64_t) loc;
th->th.ompt_thread_info.state = ompt_state_wait_ordered;
/* OMPT event callback */
if (ompt_callbacks.ompt_callback(ompt_event_wait_ordered)) {
ompt_callbacks.ompt_callback(ompt_event_wait_ordered)(
th->th.ompt_thread_info.wait_id);
}
}
#endif
if ( th -> th.th_dispatch -> th_deo_fcn != 0 )
(*th->th.th_dispatch->th_deo_fcn)( & gtid, & cid, loc );
else
__kmp_parallel_deo( & gtid, & cid, loc );
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled) {
/* OMPT state update */
th->th.ompt_thread_info.state = ompt_state_work_parallel;
th->th.ompt_thread_info.wait_id = 0;
/* OMPT event callback */
if (ompt_callbacks.ompt_callback(ompt_event_acquired_ordered)) {
ompt_callbacks.ompt_callback(ompt_event_acquired_ordered)(
th->th.ompt_thread_info.wait_id);
}
}
#endif
#if USE_ITT_BUILD
__kmp_itt_ordered_start( gtid );
#endif /* USE_ITT_BUILD */
}
/*!
@ingroup WORK_SHARING
@param loc source location information.
@param gtid global thread number.
End execution of an <tt>ordered</tt> construct.
*/
void
__kmpc_end_ordered( ident_t * loc, kmp_int32 gtid )
{
int cid = 0;
kmp_info_t *th;
KC_TRACE( 10, ("__kmpc_end_ordered: called T#%d\n", gtid ) );
#if USE_ITT_BUILD
__kmp_itt_ordered_end( gtid );
// TODO: ordered_wait_id
#endif /* USE_ITT_BUILD */
th = __kmp_threads[ gtid ];
if ( th -> th.th_dispatch -> th_dxo_fcn != 0 )
(*th->th.th_dispatch->th_dxo_fcn)( & gtid, & cid, loc );
else
__kmp_parallel_dxo( & gtid, & cid, loc );
#if OMPT_SUPPORT && OMPT_BLAME
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_release_ordered)) {
ompt_callbacks.ompt_callback(ompt_event_release_ordered)(
th->th.ompt_thread_info.wait_id);
}
#endif
}
#if KMP_USE_DYNAMIC_LOCK
static __forceinline void
__kmp_init_indirect_csptr(kmp_critical_name * crit, ident_t const * loc, kmp_int32 gtid, kmp_indirect_locktag_t tag)
{
// Pointer to the allocated indirect lock is written to crit, while indexing is ignored.
void *idx;
kmp_indirect_lock_t **lck;
lck = (kmp_indirect_lock_t **)crit;
kmp_indirect_lock_t *ilk = __kmp_allocate_indirect_lock(&idx, gtid, tag);
KMP_I_LOCK_FUNC(ilk, init)(ilk->lock);
KMP_SET_I_LOCK_LOCATION(ilk, loc);
KMP_SET_I_LOCK_FLAGS(ilk, kmp_lf_critical_section);
KA_TRACE(20, ("__kmp_init_indirect_csptr: initialized indirect lock #%d\n", tag));
#if USE_ITT_BUILD
__kmp_itt_critical_creating(ilk->lock, loc);
#endif
int status = KMP_COMPARE_AND_STORE_PTR(lck, 0, ilk);
if (status == 0) {
#if USE_ITT_BUILD
__kmp_itt_critical_destroyed(ilk->lock);
#endif
// We don't really need to destroy the unclaimed lock here since it will be cleaned up at program exit.
//KMP_D_LOCK_FUNC(&idx, destroy)((kmp_dyna_lock_t *)&idx);
}
KMP_DEBUG_ASSERT(*lck != NULL);
}
// Fast-path acquire tas lock
#define KMP_ACQUIRE_TAS_LOCK(lock, gtid) { \
kmp_tas_lock_t *l = (kmp_tas_lock_t *)lock; \
if (l->lk.poll != KMP_LOCK_FREE(tas) || \
! KMP_COMPARE_AND_STORE_ACQ32(&(l->lk.poll), KMP_LOCK_FREE(tas), KMP_LOCK_BUSY(gtid+1, tas))) { \
kmp_uint32 spins; \
KMP_FSYNC_PREPARE(l); \
KMP_INIT_YIELD(spins); \
if (TCR_4(__kmp_nth) > (__kmp_avail_proc ? __kmp_avail_proc : __kmp_xproc)) { \
KMP_YIELD(TRUE); \
} else { \
KMP_YIELD_SPIN(spins); \
} \
while (l->lk.poll != KMP_LOCK_FREE(tas) || \
! KMP_COMPARE_AND_STORE_ACQ32(&(l->lk.poll), KMP_LOCK_FREE(tas), KMP_LOCK_BUSY(gtid+1, tas))) { \
if (TCR_4(__kmp_nth) > (__kmp_avail_proc ? __kmp_avail_proc : __kmp_xproc)) { \
KMP_YIELD(TRUE); \
} else { \
KMP_YIELD_SPIN(spins); \
} \
} \
} \
KMP_FSYNC_ACQUIRED(l); \
}
// Fast-path test tas lock
#define KMP_TEST_TAS_LOCK(lock, gtid, rc) { \
kmp_tas_lock_t *l = (kmp_tas_lock_t *)lock; \
rc = l->lk.poll == KMP_LOCK_FREE(tas) && \
KMP_COMPARE_AND_STORE_ACQ32(&(l->lk.poll), KMP_LOCK_FREE(tas), KMP_LOCK_BUSY(gtid+1, tas)); \
}
// Fast-path release tas lock
#define KMP_RELEASE_TAS_LOCK(lock, gtid) { \
TCW_4(((kmp_tas_lock_t *)lock)->lk.poll, KMP_LOCK_FREE(tas)); \
KMP_MB(); \
}
#if KMP_USE_FUTEX
# include <unistd.h>
# include <sys/syscall.h>
# ifndef FUTEX_WAIT
# define FUTEX_WAIT 0
# endif
# ifndef FUTEX_WAKE
# define FUTEX_WAKE 1
# endif
// Fast-path acquire futex lock
#define KMP_ACQUIRE_FUTEX_LOCK(lock, gtid) { \
kmp_futex_lock_t *ftx = (kmp_futex_lock_t *)lock; \
kmp_int32 gtid_code = (gtid+1) << 1; \
KMP_MB(); \
KMP_FSYNC_PREPARE(ftx); \
kmp_int32 poll_val; \
while ((poll_val = KMP_COMPARE_AND_STORE_RET32(&(ftx->lk.poll), KMP_LOCK_FREE(futex), \
KMP_LOCK_BUSY(gtid_code, futex))) != KMP_LOCK_FREE(futex)) { \
kmp_int32 cond = KMP_LOCK_STRIP(poll_val) & 1; \
if (!cond) { \
if (!KMP_COMPARE_AND_STORE_RET32(&(ftx->lk.poll), poll_val, poll_val | KMP_LOCK_BUSY(1, futex))) { \
continue; \
} \
poll_val |= KMP_LOCK_BUSY(1, futex); \
} \
kmp_int32 rc; \
if ((rc = syscall(__NR_futex, &(ftx->lk.poll), FUTEX_WAIT, poll_val, NULL, NULL, 0)) != 0) { \
continue; \
} \
gtid_code |= 1; \
} \
KMP_FSYNC_ACQUIRED(ftx); \
}
// Fast-path test futex lock
#define KMP_TEST_FUTEX_LOCK(lock, gtid, rc) { \
kmp_futex_lock_t *ftx = (kmp_futex_lock_t *)lock; \
if (KMP_COMPARE_AND_STORE_ACQ32(&(ftx->lk.poll), KMP_LOCK_FREE(futex), KMP_LOCK_BUSY(gtid+1, futex) << 1)) { \
KMP_FSYNC_ACQUIRED(ftx); \
rc = TRUE; \
} else { \
rc = FALSE; \
} \
}
// Fast-path release futex lock
#define KMP_RELEASE_FUTEX_LOCK(lock, gtid) { \
kmp_futex_lock_t *ftx = (kmp_futex_lock_t *)lock; \
KMP_MB(); \
KMP_FSYNC_RELEASING(ftx); \
kmp_int32 poll_val = KMP_XCHG_FIXED32(&(ftx->lk.poll), KMP_LOCK_FREE(futex)); \
if (KMP_LOCK_STRIP(poll_val) & 1) { \
syscall(__NR_futex, &(ftx->lk.poll), FUTEX_WAKE, KMP_LOCK_BUSY(1, futex), NULL, NULL, 0); \
} \
KMP_MB(); \
KMP_YIELD(TCR_4(__kmp_nth) > (__kmp_avail_proc ? __kmp_avail_proc : __kmp_xproc)); \
}
#endif // KMP_USE_FUTEX
#else // KMP_USE_DYNAMIC_LOCK
static kmp_user_lock_p
__kmp_get_critical_section_ptr( kmp_critical_name * crit, ident_t const * loc, kmp_int32 gtid )
{
kmp_user_lock_p *lck_pp = (kmp_user_lock_p *)crit;
//
// Because of the double-check, the following load
// doesn't need to be volatile.
//
kmp_user_lock_p lck = (kmp_user_lock_p)TCR_PTR( *lck_pp );
if ( lck == NULL ) {
void * idx;
// Allocate & initialize the lock.
// Remember allocated locks in table in order to free them in __kmp_cleanup()
lck = __kmp_user_lock_allocate( &idx, gtid, kmp_lf_critical_section );
__kmp_init_user_lock_with_checks( lck );
__kmp_set_user_lock_location( lck, loc );
#if USE_ITT_BUILD
__kmp_itt_critical_creating( lck );
// __kmp_itt_critical_creating() should be called *before* the first usage of underlying
// lock. It is the only place where we can guarantee it. There are chances the lock will
// destroyed with no usage, but it is not a problem, because this is not real event seen
// by user but rather setting name for object (lock). See more details in kmp_itt.h.
#endif /* USE_ITT_BUILD */
//
// Use a cmpxchg instruction to slam the start of the critical
// section with the lock pointer. If another thread beat us
// to it, deallocate the lock, and use the lock that the other
// thread allocated.
//
int status = KMP_COMPARE_AND_STORE_PTR( lck_pp, 0, lck );
if ( status == 0 ) {
// Deallocate the lock and reload the value.
#if USE_ITT_BUILD
__kmp_itt_critical_destroyed( lck );
// Let ITT know the lock is destroyed and the same memory location may be reused for
// another purpose.
#endif /* USE_ITT_BUILD */
__kmp_destroy_user_lock_with_checks( lck );
__kmp_user_lock_free( &idx, gtid, lck );
lck = (kmp_user_lock_p)TCR_PTR( *lck_pp );
KMP_DEBUG_ASSERT( lck != NULL );
}
}
return lck;
}
#endif // KMP_USE_DYNAMIC_LOCK
/*!
@ingroup WORK_SHARING
@param loc source location information.
@param global_tid global thread number .
@param crit identity of the critical section. This could be a pointer to a lock associated with the critical section, or
some other suitably unique value.
Enter code protected by a `critical` construct.
This function blocks until the executing thread can enter the critical section.
*/
void
__kmpc_critical( ident_t * loc, kmp_int32 global_tid, kmp_critical_name * crit )
{
#if KMP_USE_DYNAMIC_LOCK
__kmpc_critical_with_hint(loc, global_tid, crit, omp_lock_hint_none);
#else
KMP_COUNT_BLOCK(OMP_CRITICAL);
kmp_user_lock_p lck;
KC_TRACE( 10, ("__kmpc_critical: called T#%d\n", global_tid ) );
//TODO: add THR_OVHD_STATE
KMP_CHECK_USER_LOCK_INIT();
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_CRITICAL_SIZE ) ) {
lck = (kmp_user_lock_p)crit;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_CRITICAL_SIZE ) ) {
lck = (kmp_user_lock_p)crit;
}
#endif
else { // ticket, queuing or drdpa
lck = __kmp_get_critical_section_ptr( crit, loc, global_tid );
}
if ( __kmp_env_consistency_check )
__kmp_push_sync( global_tid, ct_critical, loc, lck );
/* since the critical directive binds to all threads, not just
* the current team we have to check this even if we are in a
* serialized team */
/* also, even if we are the uber thread, we still have to conduct the lock,
* as we have to contend with sibling threads */
#if USE_ITT_BUILD
__kmp_itt_critical_acquiring( lck );
#endif /* USE_ITT_BUILD */
// Value of 'crit' should be good for using as a critical_id of the critical section directive.
__kmp_acquire_user_lock_with_checks( lck, global_tid );
#if USE_ITT_BUILD
__kmp_itt_critical_acquired( lck );
#endif /* USE_ITT_BUILD */
KA_TRACE( 15, ("__kmpc_critical: done T#%d\n", global_tid ));
#endif // KMP_USE_DYNAMIC_LOCK
}
#if KMP_USE_DYNAMIC_LOCK
// Converts the given hint to an internal lock implementation
static __forceinline kmp_dyna_lockseq_t
__kmp_map_hint_to_lock(uintptr_t hint)
{
#if KMP_USE_TSX
# define KMP_TSX_LOCK(seq) lockseq_##seq
#else
# define KMP_TSX_LOCK(seq) __kmp_user_lock_seq
#endif
// Hints that do not require further logic
if (hint & kmp_lock_hint_hle)
return KMP_TSX_LOCK(hle);
if (hint & kmp_lock_hint_rtm)
return (__kmp_cpuinfo.rtm)? KMP_TSX_LOCK(rtm): __kmp_user_lock_seq;
if (hint & kmp_lock_hint_adaptive)
return (__kmp_cpuinfo.rtm)? KMP_TSX_LOCK(adaptive): __kmp_user_lock_seq;
// Rule out conflicting hints first by returning the default lock
if ((hint & omp_lock_hint_contended) && (hint & omp_lock_hint_uncontended))
return __kmp_user_lock_seq;
if ((hint & omp_lock_hint_speculative) && (hint & omp_lock_hint_nonspeculative))
return __kmp_user_lock_seq;
// Do not even consider speculation when it appears to be contended
if (hint & omp_lock_hint_contended)
return lockseq_queuing;
// Uncontended lock without speculation
if ((hint & omp_lock_hint_uncontended) && !(hint & omp_lock_hint_speculative))
return lockseq_tas;
// HLE lock for speculation
if (hint & omp_lock_hint_speculative)
return KMP_TSX_LOCK(hle);
return __kmp_user_lock_seq;
}
/*!
@ingroup WORK_SHARING
@param loc source location information.
@param global_tid global thread number.
@param crit identity of the critical section. This could be a pointer to a lock associated with the critical section,
or some other suitably unique value.
@param hint the lock hint.
Enter code protected by a `critical` construct with a hint. The hint value is used to suggest a lock implementation.
This function blocks until the executing thread can enter the critical section unless the hint suggests use of
speculative execution and the hardware supports it.
*/
void
__kmpc_critical_with_hint( ident_t * loc, kmp_int32 global_tid, kmp_critical_name * crit, uintptr_t hint )
{
KMP_COUNT_BLOCK(OMP_CRITICAL);
kmp_user_lock_p lck;
KC_TRACE( 10, ("__kmpc_critical: called T#%d\n", global_tid ) );
kmp_dyna_lock_t *lk = (kmp_dyna_lock_t *)crit;
// Check if it is initialized.
if (*lk == 0) {
kmp_dyna_lockseq_t lckseq = __kmp_map_hint_to_lock(hint);
if (KMP_IS_D_LOCK(lckseq)) {
KMP_COMPARE_AND_STORE_ACQ32((volatile kmp_int32 *)crit, 0, KMP_GET_D_TAG(lckseq));
} else {
__kmp_init_indirect_csptr(crit, loc, global_tid, KMP_GET_I_TAG(lckseq));
}
}
// Branch for accessing the actual lock object and set operation. This branching is inevitable since
// this lock initialization does not follow the normal dispatch path (lock table is not used).
if (KMP_EXTRACT_D_TAG(lk) != 0) {
lck = (kmp_user_lock_p)lk;
if (__kmp_env_consistency_check) {
__kmp_push_sync(global_tid, ct_critical, loc, lck, __kmp_map_hint_to_lock(hint));
}
# if USE_ITT_BUILD
__kmp_itt_critical_acquiring(lck);
# endif
# if KMP_USE_INLINED_TAS
if (__kmp_user_lock_seq == lockseq_tas && !__kmp_env_consistency_check) {
KMP_ACQUIRE_TAS_LOCK(lck, global_tid);
} else
# elif KMP_USE_INLINED_FUTEX
if (__kmp_user_lock_seq == lockseq_futex && !__kmp_env_consistency_check) {
KMP_ACQUIRE_FUTEX_LOCK(lck, global_tid);
} else
# endif
{
KMP_D_LOCK_FUNC(lk, set)(lk, global_tid);
}
} else {
kmp_indirect_lock_t *ilk = *((kmp_indirect_lock_t **)lk);
lck = ilk->lock;
if (__kmp_env_consistency_check) {
__kmp_push_sync(global_tid, ct_critical, loc, lck, __kmp_map_hint_to_lock(hint));
}
# if USE_ITT_BUILD
__kmp_itt_critical_acquiring(lck);
# endif
KMP_I_LOCK_FUNC(ilk, set)(lck, global_tid);
}
#if USE_ITT_BUILD
__kmp_itt_critical_acquired( lck );
#endif /* USE_ITT_BUILD */
KA_TRACE( 15, ("__kmpc_critical: done T#%d\n", global_tid ));
} // __kmpc_critical_with_hint
#endif // KMP_USE_DYNAMIC_LOCK
/*!
@ingroup WORK_SHARING
@param loc source location information.
@param global_tid global thread number .
@param crit identity of the critical section. This could be a pointer to a lock associated with the critical section, or
some other suitably unique value.
Leave a critical section, releasing any lock that was held during its execution.
*/
void
__kmpc_end_critical(ident_t *loc, kmp_int32 global_tid, kmp_critical_name *crit)
{
kmp_user_lock_p lck;
KC_TRACE( 10, ("__kmpc_end_critical: called T#%d\n", global_tid ));
#if KMP_USE_DYNAMIC_LOCK
if (KMP_IS_D_LOCK(__kmp_user_lock_seq)) {
lck = (kmp_user_lock_p)crit;
KMP_ASSERT(lck != NULL);
if (__kmp_env_consistency_check) {
__kmp_pop_sync(global_tid, ct_critical, loc);
}
# if USE_ITT_BUILD
__kmp_itt_critical_releasing( lck );
# endif
# if KMP_USE_INLINED_TAS
if (__kmp_user_lock_seq == lockseq_tas && !__kmp_env_consistency_check) {
KMP_RELEASE_TAS_LOCK(lck, global_tid);
} else
# elif KMP_USE_INLINED_FUTEX
if (__kmp_user_lock_seq == lockseq_futex && !__kmp_env_consistency_check) {
KMP_RELEASE_FUTEX_LOCK(lck, global_tid);
} else
# endif
{
KMP_D_LOCK_FUNC(lck, unset)((kmp_dyna_lock_t *)lck, global_tid);
}
} else {
kmp_indirect_lock_t *ilk = (kmp_indirect_lock_t *)TCR_PTR(*((kmp_indirect_lock_t **)crit));
KMP_ASSERT(ilk != NULL);
lck = ilk->lock;
if (__kmp_env_consistency_check) {
__kmp_pop_sync(global_tid, ct_critical, loc);
}
# if USE_ITT_BUILD
__kmp_itt_critical_releasing( lck );
# endif
KMP_I_LOCK_FUNC(ilk, unset)(lck, global_tid);
}
#else // KMP_USE_DYNAMIC_LOCK
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_CRITICAL_SIZE ) ) {
lck = (kmp_user_lock_p)crit;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_CRITICAL_SIZE ) ) {
lck = (kmp_user_lock_p)crit;
}
#endif
else { // ticket, queuing or drdpa
lck = (kmp_user_lock_p) TCR_PTR(*((kmp_user_lock_p *)crit));
}
KMP_ASSERT(lck != NULL);
if ( __kmp_env_consistency_check )
__kmp_pop_sync( global_tid, ct_critical, loc );
#if USE_ITT_BUILD
__kmp_itt_critical_releasing( lck );
#endif /* USE_ITT_BUILD */
// Value of 'crit' should be good for using as a critical_id of the critical section directive.
__kmp_release_user_lock_with_checks( lck, global_tid );
#if OMPT_SUPPORT && OMPT_BLAME
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_release_critical)) {
ompt_callbacks.ompt_callback(ompt_event_release_critical)(
(uint64_t) lck);
}
#endif
#endif // KMP_USE_DYNAMIC_LOCK
KA_TRACE( 15, ("__kmpc_end_critical: done T#%d\n", global_tid ));
}
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid thread id.
@return one if the thread should execute the master block, zero otherwise
Start execution of a combined barrier and master. The barrier is executed inside this function.
*/
kmp_int32
__kmpc_barrier_master(ident_t *loc, kmp_int32 global_tid)
{
int status;
KC_TRACE( 10, ("__kmpc_barrier_master: called T#%d\n", global_tid ) );
if (! TCR_4(__kmp_init_parallel))
__kmp_parallel_initialize();
if ( __kmp_env_consistency_check )
__kmp_check_barrier( global_tid, ct_barrier, loc );
#if USE_ITT_NOTIFY
__kmp_threads[global_tid]->th.th_ident = loc;
#endif
status = __kmp_barrier( bs_plain_barrier, global_tid, TRUE, 0, NULL, NULL );
return (status != 0) ? 0 : 1;
}
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid thread id.
Complete the execution of a combined barrier and master. This function should
only be called at the completion of the <tt>master</tt> code. Other threads will
still be waiting at the barrier and this call releases them.
*/
void
__kmpc_end_barrier_master(ident_t *loc, kmp_int32 global_tid)
{
KC_TRACE( 10, ("__kmpc_end_barrier_master: called T#%d\n", global_tid ));
__kmp_end_split_barrier ( bs_plain_barrier, global_tid );
}
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid thread id.
@return one if the thread should execute the master block, zero otherwise
Start execution of a combined barrier and master(nowait) construct.
The barrier is executed inside this function.
There is no equivalent "end" function, since the
*/
kmp_int32
__kmpc_barrier_master_nowait( ident_t * loc, kmp_int32 global_tid )
{
kmp_int32 ret;
KC_TRACE( 10, ("__kmpc_barrier_master_nowait: called T#%d\n", global_tid ));
if (! TCR_4(__kmp_init_parallel))
__kmp_parallel_initialize();
if ( __kmp_env_consistency_check ) {
if ( loc == 0 ) {
KMP_WARNING( ConstructIdentInvalid ); // ??? What does it mean for the user?
}
__kmp_check_barrier( global_tid, ct_barrier, loc );
}
#if USE_ITT_NOTIFY
__kmp_threads[global_tid]->th.th_ident = loc;
#endif
__kmp_barrier( bs_plain_barrier, global_tid, FALSE, 0, NULL, NULL );
ret = __kmpc_master (loc, global_tid);
if ( __kmp_env_consistency_check ) {
/* there's no __kmpc_end_master called; so the (stats) */
/* actions of __kmpc_end_master are done here */
if ( global_tid < 0 ) {
KMP_WARNING( ThreadIdentInvalid );
}
if (ret) {
/* only one thread should do the pop since only */
/* one did the push (see __kmpc_master()) */
__kmp_pop_sync( global_tid, ct_master, loc );
}
}
return (ret);
}
/* The BARRIER for a SINGLE process section is always explicit */
/*!
@ingroup WORK_SHARING
@param loc source location information
@param global_tid global thread number
@return One if this thread should execute the single construct, zero otherwise.
Test whether to execute a <tt>single</tt> construct.
There are no implicit barriers in the two "single" calls, rather the compiler should
introduce an explicit barrier if it is required.
*/
kmp_int32
__kmpc_single(ident_t *loc, kmp_int32 global_tid)
{
KMP_COUNT_BLOCK(OMP_SINGLE);
kmp_int32 rc = __kmp_enter_single( global_tid, loc, TRUE );
if(rc == TRUE) {
KMP_START_EXPLICIT_TIMER(OMP_single);
}
#if OMPT_SUPPORT && OMPT_TRACE
kmp_info_t *this_thr = __kmp_threads[ global_tid ];
kmp_team_t *team = this_thr -> th.th_team;
int tid = __kmp_tid_from_gtid( global_tid );
if (ompt_enabled) {
if (rc) {
if (ompt_callbacks.ompt_callback(ompt_event_single_in_block_begin)) {
ompt_callbacks.ompt_callback(ompt_event_single_in_block_begin)(
team->t.ompt_team_info.parallel_id,
team->t.t_implicit_task_taskdata[tid].ompt_task_info.task_id,
team->t.ompt_team_info.microtask);
}
} else {
if (ompt_callbacks.ompt_callback(ompt_event_single_others_begin)) {
ompt_callbacks.ompt_callback(ompt_event_single_others_begin)(
team->t.ompt_team_info.parallel_id,
team->t.t_implicit_task_taskdata[tid].ompt_task_info.task_id);
}
this_thr->th.ompt_thread_info.state = ompt_state_wait_single;
}
}
#endif
return rc;
}
/*!
@ingroup WORK_SHARING
@param loc source location information
@param global_tid global thread number
Mark the end of a <tt>single</tt> construct. This function should
only be called by the thread that executed the block of code protected
by the `single` construct.
*/
void
__kmpc_end_single(ident_t *loc, kmp_int32 global_tid)
{
__kmp_exit_single( global_tid );
KMP_STOP_EXPLICIT_TIMER(OMP_single);
#if OMPT_SUPPORT && OMPT_TRACE
kmp_info_t *this_thr = __kmp_threads[ global_tid ];
kmp_team_t *team = this_thr -> th.th_team;
int tid = __kmp_tid_from_gtid( global_tid );
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_single_in_block_end)) {
ompt_callbacks.ompt_callback(ompt_event_single_in_block_end)(
team->t.ompt_team_info.parallel_id,
team->t.t_implicit_task_taskdata[tid].ompt_task_info.task_id);
}
#endif
}
/*!
@ingroup WORK_SHARING
@param loc Source location
@param global_tid Global thread id
Mark the end of a statically scheduled loop.
*/
void
__kmpc_for_static_fini( ident_t *loc, kmp_int32 global_tid )
{
KE_TRACE( 10, ("__kmpc_for_static_fini called T#%d\n", global_tid));
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_loop_end)) {
kmp_info_t *this_thr = __kmp_threads[ global_tid ];
kmp_team_t *team = this_thr -> th.th_team;
int tid = __kmp_tid_from_gtid( global_tid );
ompt_callbacks.ompt_callback(ompt_event_loop_end)(
team->t.ompt_team_info.parallel_id,
team->t.t_implicit_task_taskdata[tid].ompt_task_info.task_id);
}
#endif
if ( __kmp_env_consistency_check )
__kmp_pop_workshare( global_tid, ct_pdo, loc );
}
/*
* User routines which take C-style arguments (call by value)
* different from the Fortran equivalent routines
*/
void
ompc_set_num_threads( int arg )
{
// !!!!! TODO: check the per-task binding
__kmp_set_num_threads( arg, __kmp_entry_gtid() );
}
void
ompc_set_dynamic( int flag )
{
kmp_info_t *thread;
/* For the thread-private implementation of the internal controls */
thread = __kmp_entry_thread();
__kmp_save_internal_controls( thread );
set__dynamic( thread, flag ? TRUE : FALSE );
}
void
ompc_set_nested( int flag )
{
kmp_info_t *thread;
/* For the thread-private internal controls implementation */
thread = __kmp_entry_thread();
__kmp_save_internal_controls( thread );
set__nested( thread, flag ? TRUE : FALSE );
}
void
ompc_set_max_active_levels( int max_active_levels )
{
/* TO DO */
/* we want per-task implementation of this internal control */
/* For the per-thread internal controls implementation */
__kmp_set_max_active_levels( __kmp_entry_gtid(), max_active_levels );
}
void
ompc_set_schedule( omp_sched_t kind, int modifier )
{
// !!!!! TODO: check the per-task binding
__kmp_set_schedule( __kmp_entry_gtid(), ( kmp_sched_t ) kind, modifier );
}
int
ompc_get_ancestor_thread_num( int level )
{
return __kmp_get_ancestor_thread_num( __kmp_entry_gtid(), level );
}
int
ompc_get_team_size( int level )
{
return __kmp_get_team_size( __kmp_entry_gtid(), level );
}
void
kmpc_set_stacksize( int arg )
{
// __kmp_aux_set_stacksize initializes the library if needed
__kmp_aux_set_stacksize( arg );
}
void
kmpc_set_stacksize_s( size_t arg )
{
// __kmp_aux_set_stacksize initializes the library if needed
__kmp_aux_set_stacksize( arg );
}
void
kmpc_set_blocktime( int arg )
{
int gtid, tid;
kmp_info_t *thread;
gtid = __kmp_entry_gtid();
tid = __kmp_tid_from_gtid(gtid);
thread = __kmp_thread_from_gtid(gtid);
__kmp_aux_set_blocktime( arg, thread, tid );
}
void
kmpc_set_library( int arg )
{
// __kmp_user_set_library initializes the library if needed
__kmp_user_set_library( (enum library_type)arg );
}
void
kmpc_set_defaults( char const * str )
{
// __kmp_aux_set_defaults initializes the library if needed
__kmp_aux_set_defaults( str, KMP_STRLEN( str ) );
}
int
kmpc_set_affinity_mask_proc( int proc, void **mask )
{
#if defined(KMP_STUB) || !KMP_AFFINITY_SUPPORTED
return -1;
#else
if ( ! TCR_4(__kmp_init_middle) ) {
__kmp_middle_initialize();
}
return __kmp_aux_set_affinity_mask_proc( proc, mask );
#endif
}
int
kmpc_unset_affinity_mask_proc( int proc, void **mask )
{
#if defined(KMP_STUB) || !KMP_AFFINITY_SUPPORTED
return -1;
#else
if ( ! TCR_4(__kmp_init_middle) ) {
__kmp_middle_initialize();
}
return __kmp_aux_unset_affinity_mask_proc( proc, mask );
#endif
}
int
kmpc_get_affinity_mask_proc( int proc, void **mask )
{
#if defined(KMP_STUB) || !KMP_AFFINITY_SUPPORTED
return -1;
#else
if ( ! TCR_4(__kmp_init_middle) ) {
__kmp_middle_initialize();
}
return __kmp_aux_get_affinity_mask_proc( proc, mask );
#endif
}
/* -------------------------------------------------------------------------- */
/*!
@ingroup THREADPRIVATE
@param loc source location information
@param gtid global thread number
@param cpy_size size of the cpy_data buffer
@param cpy_data pointer to data to be copied
@param cpy_func helper function to call for copying data
@param didit flag variable: 1=single thread; 0=not single thread
__kmpc_copyprivate implements the interface for the private data broadcast needed for
the copyprivate clause associated with a single region in an OpenMP<sup>*</sup> program (both C and Fortran).
All threads participating in the parallel region call this routine.
One of the threads (called the single thread) should have the <tt>didit</tt> variable set to 1
and all other threads should have that variable set to 0.
All threads pass a pointer to a data buffer (cpy_data) that they have built.
The OpenMP specification forbids the use of nowait on the single region when a copyprivate
clause is present. However, @ref __kmpc_copyprivate implements a barrier internally to avoid
race conditions, so the code generation for the single region should avoid generating a barrier
after the call to @ref __kmpc_copyprivate.
The <tt>gtid</tt> parameter is the global thread id for the current thread.
The <tt>loc</tt> parameter is a pointer to source location information.
Internal implementation: The single thread will first copy its descriptor address (cpy_data)
to a team-private location, then the other threads will each call the function pointed to by
the parameter cpy_func, which carries out the copy by copying the data using the cpy_data buffer.
The cpy_func routine used for the copy and the contents of the data area defined by cpy_data
and cpy_size may be built in any fashion that will allow the copy to be done. For instance,
the cpy_data buffer can hold the actual data to be copied or it may hold a list of pointers
to the data. The cpy_func routine must interpret the cpy_data buffer appropriately.
The interface to cpy_func is as follows:
@code
void cpy_func( void *destination, void *source )
@endcode
where void *destination is the cpy_data pointer for the thread being copied to
and void *source is the cpy_data pointer for the thread being copied from.
*/
void
__kmpc_copyprivate( ident_t *loc, kmp_int32 gtid, size_t cpy_size, void *cpy_data, void(*cpy_func)(void*,void*), kmp_int32 didit )
{
void **data_ptr;
KC_TRACE( 10, ("__kmpc_copyprivate: called T#%d\n", gtid ));
KMP_MB();
data_ptr = & __kmp_team_from_gtid( gtid )->t.t_copypriv_data;
if ( __kmp_env_consistency_check ) {
if ( loc == 0 ) {
KMP_WARNING( ConstructIdentInvalid );
}
}
/* ToDo: Optimize the following two barriers into some kind of split barrier */
if (didit) *data_ptr = cpy_data;
/* This barrier is not a barrier region boundary */
#if USE_ITT_NOTIFY
__kmp_threads[gtid]->th.th_ident = loc;
#endif
__kmp_barrier( bs_plain_barrier, gtid, FALSE , 0, NULL, NULL );
if (! didit) (*cpy_func)( cpy_data, *data_ptr );
/* Consider next barrier the user-visible barrier for barrier region boundaries */
/* Nesting checks are already handled by the single construct checks */
#if USE_ITT_NOTIFY
__kmp_threads[gtid]->th.th_ident = loc; // TODO: check if it is needed (e.g. tasks can overwrite the location)
#endif
__kmp_barrier( bs_plain_barrier, gtid, FALSE , 0, NULL, NULL );
}
/* -------------------------------------------------------------------------- */
#define INIT_LOCK __kmp_init_user_lock_with_checks
#define INIT_NESTED_LOCK __kmp_init_nested_user_lock_with_checks
#define ACQUIRE_LOCK __kmp_acquire_user_lock_with_checks
#define ACQUIRE_LOCK_TIMED __kmp_acquire_user_lock_with_checks_timed
#define ACQUIRE_NESTED_LOCK __kmp_acquire_nested_user_lock_with_checks
#define ACQUIRE_NESTED_LOCK_TIMED __kmp_acquire_nested_user_lock_with_checks_timed
#define RELEASE_LOCK __kmp_release_user_lock_with_checks
#define RELEASE_NESTED_LOCK __kmp_release_nested_user_lock_with_checks
#define TEST_LOCK __kmp_test_user_lock_with_checks
#define TEST_NESTED_LOCK __kmp_test_nested_user_lock_with_checks
#define DESTROY_LOCK __kmp_destroy_user_lock_with_checks
#define DESTROY_NESTED_LOCK __kmp_destroy_nested_user_lock_with_checks
/*
* TODO: Make check abort messages use location info & pass it
* into with_checks routines
*/
#if KMP_USE_DYNAMIC_LOCK
// internal lock initializer
static __forceinline void
__kmp_init_lock_with_hint(ident_t *loc, void **lock, kmp_dyna_lockseq_t seq)
{
if (KMP_IS_D_LOCK(seq)) {
KMP_INIT_D_LOCK(lock, seq);
#if USE_ITT_BUILD
__kmp_itt_lock_creating((kmp_user_lock_p)lock, NULL);
#endif
} else {
KMP_INIT_I_LOCK(lock, seq);
#if USE_ITT_BUILD
kmp_indirect_lock_t *ilk = KMP_LOOKUP_I_LOCK(lock);
__kmp_itt_lock_creating(ilk->lock, loc);
#endif
}
}
// internal nest lock initializer
static __forceinline void
__kmp_init_nest_lock_with_hint(ident_t *loc, void **lock, kmp_dyna_lockseq_t seq)
{
#if KMP_USE_TSX
// Don't have nested lock implementation for speculative locks
if (seq == lockseq_hle || seq == lockseq_rtm || seq == lockseq_adaptive)
seq = __kmp_user_lock_seq;
#endif
switch (seq) {
case lockseq_tas:
seq = lockseq_nested_tas;
break;
#if KMP_USE_FUTEX
case lockseq_futex:
seq = lockseq_nested_futex;
break;
#endif
case lockseq_ticket:
seq = lockseq_nested_ticket;
break;
case lockseq_queuing:
seq = lockseq_nested_queuing;
break;
case lockseq_drdpa:
seq = lockseq_nested_drdpa;
break;
default:
seq = lockseq_nested_queuing;
}
KMP_INIT_I_LOCK(lock, seq);
#if USE_ITT_BUILD
kmp_indirect_lock_t *ilk = KMP_LOOKUP_I_LOCK(lock);
__kmp_itt_lock_creating(ilk->lock, loc);
#endif
}
/* initialize the lock with a hint */
void
__kmpc_init_lock_with_hint(ident_t *loc, kmp_int32 gtid, void **user_lock, uintptr_t hint)
{
KMP_DEBUG_ASSERT(__kmp_init_serial);
if (__kmp_env_consistency_check && user_lock == NULL) {
KMP_FATAL(LockIsUninitialized, "omp_init_lock_with_hint");
}
__kmp_init_lock_with_hint(loc, user_lock, __kmp_map_hint_to_lock(hint));
}
/* initialize the lock with a hint */
void
__kmpc_init_nest_lock_with_hint(ident_t *loc, kmp_int32 gtid, void **user_lock, uintptr_t hint)
{
KMP_DEBUG_ASSERT(__kmp_init_serial);
if (__kmp_env_consistency_check && user_lock == NULL) {
KMP_FATAL(LockIsUninitialized, "omp_init_nest_lock_with_hint");
}
__kmp_init_nest_lock_with_hint(loc, user_lock, __kmp_map_hint_to_lock(hint));
}
#endif // KMP_USE_DYNAMIC_LOCK
/* initialize the lock */
void
__kmpc_init_lock( ident_t * loc, kmp_int32 gtid, void ** user_lock ) {
#if KMP_USE_DYNAMIC_LOCK
KMP_DEBUG_ASSERT(__kmp_init_serial);
if (__kmp_env_consistency_check && user_lock == NULL) {
KMP_FATAL(LockIsUninitialized, "omp_init_lock");
}
__kmp_init_lock_with_hint(loc, user_lock, __kmp_user_lock_seq);
#else // KMP_USE_DYNAMIC_LOCK
static char const * const func = "omp_init_lock";
kmp_user_lock_p lck;
KMP_DEBUG_ASSERT( __kmp_init_serial );
if ( __kmp_env_consistency_check ) {
if ( user_lock == NULL ) {
KMP_FATAL( LockIsUninitialized, func );
}
}
KMP_CHECK_USER_LOCK_INIT();
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_user_lock_allocate( user_lock, gtid, 0 );
}
INIT_LOCK( lck );
__kmp_set_user_lock_location( lck, loc );
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_init_lock)) {
ompt_callbacks.ompt_callback(ompt_event_init_lock)((uint64_t) lck);
}
#endif
#if USE_ITT_BUILD
__kmp_itt_lock_creating( lck );
#endif /* USE_ITT_BUILD */
#endif // KMP_USE_DYNAMIC_LOCK
} // __kmpc_init_lock
/* initialize the lock */
void
__kmpc_init_nest_lock( ident_t * loc, kmp_int32 gtid, void ** user_lock ) {
#if KMP_USE_DYNAMIC_LOCK
KMP_DEBUG_ASSERT(__kmp_init_serial);
if (__kmp_env_consistency_check && user_lock == NULL) {
KMP_FATAL(LockIsUninitialized, "omp_init_nest_lock");
}
__kmp_init_nest_lock_with_hint(loc, user_lock, __kmp_user_lock_seq);
#else // KMP_USE_DYNAMIC_LOCK
static char const * const func = "omp_init_nest_lock";
kmp_user_lock_p lck;
KMP_DEBUG_ASSERT( __kmp_init_serial );
if ( __kmp_env_consistency_check ) {
if ( user_lock == NULL ) {
KMP_FATAL( LockIsUninitialized, func );
}
}
KMP_CHECK_USER_LOCK_INIT();
if ( ( __kmp_user_lock_kind == lk_tas ) && ( sizeof( lck->tas.lk.poll )
+ sizeof( lck->tas.lk.depth_locked ) <= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) + sizeof( lck->futex.lk.depth_locked )
<= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_user_lock_allocate( user_lock, gtid, 0 );
}
INIT_NESTED_LOCK( lck );
__kmp_set_user_lock_location( lck, loc );
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_init_nest_lock)) {
ompt_callbacks.ompt_callback(ompt_event_init_nest_lock)((uint64_t) lck);
}
#endif
#if USE_ITT_BUILD
__kmp_itt_lock_creating( lck );
#endif /* USE_ITT_BUILD */
#endif // KMP_USE_DYNAMIC_LOCK
} // __kmpc_init_nest_lock
void
__kmpc_destroy_lock( ident_t * loc, kmp_int32 gtid, void ** user_lock ) {
#if KMP_USE_DYNAMIC_LOCK
# if USE_ITT_BUILD
kmp_user_lock_p lck;
if (KMP_EXTRACT_D_TAG(user_lock) == 0) {
lck = ((kmp_indirect_lock_t *)KMP_LOOKUP_I_LOCK(user_lock))->lock;
} else {
lck = (kmp_user_lock_p)user_lock;
}
__kmp_itt_lock_destroyed(lck);
# endif
KMP_D_LOCK_FUNC(user_lock, destroy)((kmp_dyna_lock_t *)user_lock);
#else
kmp_user_lock_p lck;
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_destroy_lock" );
}
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_destroy_lock)) {
ompt_callbacks.ompt_callback(ompt_event_destroy_lock)((uint64_t) lck);
}
#endif
#if USE_ITT_BUILD
__kmp_itt_lock_destroyed( lck );
#endif /* USE_ITT_BUILD */
DESTROY_LOCK( lck );
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
;
}
#endif
else {
__kmp_user_lock_free( user_lock, gtid, lck );
}
#endif // KMP_USE_DYNAMIC_LOCK
} // __kmpc_destroy_lock
/* destroy the lock */
void
__kmpc_destroy_nest_lock( ident_t * loc, kmp_int32 gtid, void ** user_lock ) {
#if KMP_USE_DYNAMIC_LOCK
# if USE_ITT_BUILD
kmp_indirect_lock_t *ilk = KMP_LOOKUP_I_LOCK(user_lock);
__kmp_itt_lock_destroyed(ilk->lock);
# endif
KMP_D_LOCK_FUNC(user_lock, destroy)((kmp_dyna_lock_t *)user_lock);
#else // KMP_USE_DYNAMIC_LOCK
kmp_user_lock_p lck;
if ( ( __kmp_user_lock_kind == lk_tas ) && ( sizeof( lck->tas.lk.poll )
+ sizeof( lck->tas.lk.depth_locked ) <= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) + sizeof( lck->futex.lk.depth_locked )
<= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_destroy_nest_lock" );
}
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_destroy_nest_lock)) {
ompt_callbacks.ompt_callback(ompt_event_destroy_nest_lock)((uint64_t) lck);
}
#endif
#if USE_ITT_BUILD
__kmp_itt_lock_destroyed( lck );
#endif /* USE_ITT_BUILD */
DESTROY_NESTED_LOCK( lck );
if ( ( __kmp_user_lock_kind == lk_tas ) && ( sizeof( lck->tas.lk.poll )
+ sizeof( lck->tas.lk.depth_locked ) <= OMP_NEST_LOCK_T_SIZE ) ) {
;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) + sizeof( lck->futex.lk.depth_locked )
<= OMP_NEST_LOCK_T_SIZE ) ) {
;
}
#endif
else {
__kmp_user_lock_free( user_lock, gtid, lck );
}
#endif // KMP_USE_DYNAMIC_LOCK
} // __kmpc_destroy_nest_lock
void
__kmpc_set_lock( ident_t * loc, kmp_int32 gtid, void ** user_lock ) {
KMP_COUNT_BLOCK(OMP_set_lock);
#if KMP_USE_DYNAMIC_LOCK
int tag = KMP_EXTRACT_D_TAG(user_lock);
# if USE_ITT_BUILD
__kmp_itt_lock_acquiring((kmp_user_lock_p)user_lock); // itt function will get to the right lock object.
# endif
# if KMP_USE_INLINED_TAS
if (tag == locktag_tas && !__kmp_env_consistency_check) {
KMP_ACQUIRE_TAS_LOCK(user_lock, gtid);
} else
# elif KMP_USE_INLINED_FUTEX
if (tag == locktag_futex && !__kmp_env_consistency_check) {
KMP_ACQUIRE_FUTEX_LOCK(user_lock, gtid);
} else
# endif
{
__kmp_direct_set[tag]((kmp_dyna_lock_t *)user_lock, gtid);
}
# if USE_ITT_BUILD
__kmp_itt_lock_acquired((kmp_user_lock_p)user_lock);
# endif
#else // KMP_USE_DYNAMIC_LOCK
kmp_user_lock_p lck;
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_set_lock" );
}
#if USE_ITT_BUILD
__kmp_itt_lock_acquiring( lck );
#endif /* USE_ITT_BUILD */
ACQUIRE_LOCK( lck, gtid );
#if USE_ITT_BUILD
__kmp_itt_lock_acquired( lck );
#endif /* USE_ITT_BUILD */
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_acquired_lock)) {
ompt_callbacks.ompt_callback(ompt_event_acquired_lock)((uint64_t) lck);
}
#endif
#endif // KMP_USE_DYNAMIC_LOCK
}
void
__kmpc_set_nest_lock( ident_t * loc, kmp_int32 gtid, void ** user_lock ) {
#if KMP_USE_DYNAMIC_LOCK
# if USE_ITT_BUILD
__kmp_itt_lock_acquiring((kmp_user_lock_p)user_lock);
# endif
KMP_D_LOCK_FUNC(user_lock, set)((kmp_dyna_lock_t *)user_lock, gtid);
# if USE_ITT_BUILD
__kmp_itt_lock_acquired((kmp_user_lock_p)user_lock);
#endif
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled) {
// missing support here: need to know whether acquired first or not
}
#endif
#else // KMP_USE_DYNAMIC_LOCK
int acquire_status;
kmp_user_lock_p lck;
if ( ( __kmp_user_lock_kind == lk_tas ) && ( sizeof( lck->tas.lk.poll )
+ sizeof( lck->tas.lk.depth_locked ) <= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) + sizeof( lck->futex.lk.depth_locked )
<= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_set_nest_lock" );
}
#if USE_ITT_BUILD
__kmp_itt_lock_acquiring( lck );
#endif /* USE_ITT_BUILD */
ACQUIRE_NESTED_LOCK( lck, gtid, &acquire_status );
#if USE_ITT_BUILD
__kmp_itt_lock_acquired( lck );
#endif /* USE_ITT_BUILD */
#if OMPT_SUPPORT && OMPT_TRACE
if (ompt_enabled) {
if (acquire_status == KMP_LOCK_ACQUIRED_FIRST) {
if(ompt_callbacks.ompt_callback(ompt_event_acquired_nest_lock_first))
ompt_callbacks.ompt_callback(ompt_event_acquired_nest_lock_first)((uint64_t) lck);
} else {
if(ompt_callbacks.ompt_callback(ompt_event_acquired_nest_lock_next))
ompt_callbacks.ompt_callback(ompt_event_acquired_nest_lock_next)((uint64_t) lck);
}
}
#endif
#endif // KMP_USE_DYNAMIC_LOCK
}
void
__kmpc_unset_lock( ident_t *loc, kmp_int32 gtid, void **user_lock )
{
#if KMP_USE_DYNAMIC_LOCK
int tag = KMP_EXTRACT_D_TAG(user_lock);
# if USE_ITT_BUILD
__kmp_itt_lock_releasing((kmp_user_lock_p)user_lock);
# endif
# if KMP_USE_INLINED_TAS
if (tag == locktag_tas && !__kmp_env_consistency_check) {
KMP_RELEASE_TAS_LOCK(user_lock, gtid);
} else
# elif KMP_USE_INLINED_FUTEX
if (tag == locktag_futex && !__kmp_env_consistency_check) {
KMP_RELEASE_FUTEX_LOCK(user_lock, gtid);
} else
# endif
{
__kmp_direct_unset[tag]((kmp_dyna_lock_t *)user_lock, gtid);
}
#else // KMP_USE_DYNAMIC_LOCK
kmp_user_lock_p lck;
/* Can't use serial interval since not block structured */
/* release the lock */
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
// "fast" path implemented to fix customer performance issue
#if USE_ITT_BUILD
__kmp_itt_lock_releasing( (kmp_user_lock_p)user_lock );
#endif /* USE_ITT_BUILD */
TCW_4(((kmp_user_lock_p)user_lock)->tas.lk.poll, 0);
KMP_MB();
return;
#else
lck = (kmp_user_lock_p)user_lock;
#endif
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_unset_lock" );
}
#if USE_ITT_BUILD
__kmp_itt_lock_releasing( lck );
#endif /* USE_ITT_BUILD */
RELEASE_LOCK( lck, gtid );
#if OMPT_SUPPORT && OMPT_BLAME
if (ompt_enabled &&
ompt_callbacks.ompt_callback(ompt_event_release_lock)) {
ompt_callbacks.ompt_callback(ompt_event_release_lock)((uint64_t) lck);
}
#endif
#endif // KMP_USE_DYNAMIC_LOCK
}
/* release the lock */
void
__kmpc_unset_nest_lock( ident_t *loc, kmp_int32 gtid, void **user_lock )
{
#if KMP_USE_DYNAMIC_LOCK
# if USE_ITT_BUILD
__kmp_itt_lock_releasing((kmp_user_lock_p)user_lock);
# endif
KMP_D_LOCK_FUNC(user_lock, unset)((kmp_dyna_lock_t *)user_lock, gtid);
#else // KMP_USE_DYNAMIC_LOCK
kmp_user_lock_p lck;
/* Can't use serial interval since not block structured */
if ( ( __kmp_user_lock_kind == lk_tas ) && ( sizeof( lck->tas.lk.poll )
+ sizeof( lck->tas.lk.depth_locked ) <= OMP_NEST_LOCK_T_SIZE ) ) {
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
// "fast" path implemented to fix customer performance issue
kmp_tas_lock_t *tl = (kmp_tas_lock_t*)user_lock;
#if USE_ITT_BUILD
__kmp_itt_lock_releasing( (kmp_user_lock_p)user_lock );
#endif /* USE_ITT_BUILD */
if ( --(tl->lk.depth_locked) == 0 ) {
TCW_4(tl->lk.poll, 0);
}
KMP_MB();
return;
#else
lck = (kmp_user_lock_p)user_lock;
#endif
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) + sizeof( lck->futex.lk.depth_locked )
<= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_unset_nest_lock" );
}
#if USE_ITT_BUILD
__kmp_itt_lock_releasing( lck );
#endif /* USE_ITT_BUILD */
int release_status;
release_status = RELEASE_NESTED_LOCK( lck, gtid );
#if OMPT_SUPPORT && OMPT_BLAME
if (ompt_enabled) {
if (release_status == KMP_LOCK_RELEASED) {
if (ompt_callbacks.ompt_callback(ompt_event_release_nest_lock_last)) {
ompt_callbacks.ompt_callback(ompt_event_release_nest_lock_last)(
(uint64_t) lck);
}
} else if (ompt_callbacks.ompt_callback(ompt_event_release_nest_lock_prev)) {
ompt_callbacks.ompt_callback(ompt_event_release_nest_lock_prev)(
(uint64_t) lck);
}
}
#endif
#endif // KMP_USE_DYNAMIC_LOCK
}
/* try to acquire the lock */
int
__kmpc_test_lock( ident_t *loc, kmp_int32 gtid, void **user_lock )
{
KMP_COUNT_BLOCK(OMP_test_lock);
#if KMP_USE_DYNAMIC_LOCK
int rc;
int tag = KMP_EXTRACT_D_TAG(user_lock);
# if USE_ITT_BUILD
__kmp_itt_lock_acquiring((kmp_user_lock_p)user_lock);
# endif
# if KMP_USE_INLINED_TAS
if (tag == locktag_tas && !__kmp_env_consistency_check) {
KMP_TEST_TAS_LOCK(user_lock, gtid, rc);
} else
# elif KMP_USE_INLINED_FUTEX
if (tag == locktag_futex && !__kmp_env_consistency_check) {
KMP_TEST_FUTEX_LOCK(user_lock, gtid, rc);
} else
# endif
{
rc = __kmp_direct_test[tag]((kmp_dyna_lock_t *)user_lock, gtid);
}
if (rc) {
# if USE_ITT_BUILD
__kmp_itt_lock_acquired((kmp_user_lock_p)user_lock);
# endif
return FTN_TRUE;
} else {
# if USE_ITT_BUILD
__kmp_itt_lock_cancelled((kmp_user_lock_p)user_lock);
# endif
return FTN_FALSE;
}
#else // KMP_USE_DYNAMIC_LOCK
kmp_user_lock_p lck;
int rc;
if ( ( __kmp_user_lock_kind == lk_tas )
&& ( sizeof( lck->tas.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) <= OMP_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_test_lock" );
}
#if USE_ITT_BUILD
__kmp_itt_lock_acquiring( lck );
#endif /* USE_ITT_BUILD */
rc = TEST_LOCK( lck, gtid );
#if USE_ITT_BUILD
if ( rc ) {
__kmp_itt_lock_acquired( lck );
} else {
__kmp_itt_lock_cancelled( lck );
}
#endif /* USE_ITT_BUILD */
return ( rc ? FTN_TRUE : FTN_FALSE );
/* Can't use serial interval since not block structured */
#endif // KMP_USE_DYNAMIC_LOCK
}
/* try to acquire the lock */
int
__kmpc_test_nest_lock( ident_t *loc, kmp_int32 gtid, void **user_lock )
{
#if KMP_USE_DYNAMIC_LOCK
int rc;
# if USE_ITT_BUILD
__kmp_itt_lock_acquiring((kmp_user_lock_p)user_lock);
# endif
rc = KMP_D_LOCK_FUNC(user_lock, test)((kmp_dyna_lock_t *)user_lock, gtid);
# if USE_ITT_BUILD
if (rc) {
__kmp_itt_lock_acquired((kmp_user_lock_p)user_lock);
} else {
__kmp_itt_lock_cancelled((kmp_user_lock_p)user_lock);
}
# endif
return rc;
#else // KMP_USE_DYNAMIC_LOCK
kmp_user_lock_p lck;
int rc;
if ( ( __kmp_user_lock_kind == lk_tas ) && ( sizeof( lck->tas.lk.poll )
+ sizeof( lck->tas.lk.depth_locked ) <= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#if KMP_OS_LINUX && (KMP_ARCH_X86 || KMP_ARCH_X86_64 || KMP_ARCH_ARM || KMP_ARCH_AARCH64)
else if ( ( __kmp_user_lock_kind == lk_futex )
&& ( sizeof( lck->futex.lk.poll ) + sizeof( lck->futex.lk.depth_locked )
<= OMP_NEST_LOCK_T_SIZE ) ) {
lck = (kmp_user_lock_p)user_lock;
}
#endif
else {
lck = __kmp_lookup_user_lock( user_lock, "omp_test_nest_lock" );
}
#if USE_ITT_BUILD
__kmp_itt_lock_acquiring( lck );
#endif /* USE_ITT_BUILD */
rc = TEST_NESTED_LOCK( lck, gtid );
#if USE_ITT_BUILD
if ( rc ) {
__kmp_itt_lock_acquired( lck );
} else {
__kmp_itt_lock_cancelled( lck );
}
#endif /* USE_ITT_BUILD */
return rc;
/* Can't use serial interval since not block structured */
#endif // KMP_USE_DYNAMIC_LOCK
}
/*--------------------------------------------------------------------------------------------------------------------*/
/*
* Interface to fast scalable reduce methods routines
*/
// keep the selected method in a thread local structure for cross-function usage: will be used in __kmpc_end_reduce* functions;
// another solution: to re-determine the method one more time in __kmpc_end_reduce* functions (new prototype required then)
// AT: which solution is better?
#define __KMP_SET_REDUCTION_METHOD(gtid,rmethod) \
( ( __kmp_threads[ ( gtid ) ] -> th.th_local.packed_reduction_method ) = ( rmethod ) )
#define __KMP_GET_REDUCTION_METHOD(gtid) \
( __kmp_threads[ ( gtid ) ] -> th.th_local.packed_reduction_method )
// description of the packed_reduction_method variable: look at the macros in kmp.h
// used in a critical section reduce block
static __forceinline void
__kmp_enter_critical_section_reduce_block( ident_t * loc, kmp_int32 global_tid, kmp_critical_name * crit ) {
// this lock was visible to a customer and to the threading profile tool as a serial overhead span
// (although it's used for an internal purpose only)
// why was it visible in previous implementation?
// should we keep it visible in new reduce block?
kmp_user_lock_p lck;
#if KMP_USE_DYNAMIC_LOCK
kmp_dyna_lock_t *lk = (kmp_dyna_lock_t *)crit;
// Check if it is initialized.
if (*lk == 0) {
if (KMP_IS_D_LOCK(__kmp_user_lock_seq)) {
KMP_COMPARE_AND_STORE_ACQ32((volatile kmp_int32 *)crit, 0, KMP_GET_D_TAG(__kmp_user_lock_seq));
} else {
__kmp_init_indirect_csptr(crit, loc, global_tid, KMP_GET_I_TAG(__kmp_user_lock_seq));
}
}
// Branch for accessing the actual lock object and set operation. This branching is inevitable since
// this lock initialization does not follow the normal dispatch path (lock table is not used).
if (KMP_EXTRACT_D_TAG(lk) != 0) {
lck = (kmp_user_lock_p)lk;
KMP_DEBUG_ASSERT(lck != NULL);
if (__kmp_env_consistency_check) {
__kmp_push_sync(global_tid, ct_critical, loc, lck, __kmp_user_lock_seq);
}
KMP_D_LOCK_FUNC(lk, set)(lk, global_tid);
} else {
kmp_indirect_lock_t *ilk = *((kmp_indirect_lock_t **)lk);
lck = ilk->lock;
KMP_DEBUG_ASSERT(lck != NULL);
if (__kmp_env_consistency_check) {
__kmp_push_sync(global_tid, ct_critical, loc, lck, __kmp_user_lock_seq);
}
KMP_I_LOCK_FUNC(ilk, set)(lck, global_tid);
}
#else // KMP_USE_DYNAMIC_LOCK
// We know that the fast reduction code is only emitted by Intel compilers
// with 32 byte critical sections. If there isn't enough space, then we
// have to use a pointer.
if ( __kmp_base_user_lock_size <= INTEL_CRITICAL_SIZE ) {
lck = (kmp_user_lock_p)crit;
}
else {
lck = __kmp_get_critical_section_ptr( crit, loc, global_tid );
}
KMP_DEBUG_ASSERT( lck != NULL );
if ( __kmp_env_consistency_check )
__kmp_push_sync( global_tid, ct_critical, loc, lck );
__kmp_acquire_user_lock_with_checks( lck, global_tid );
#endif // KMP_USE_DYNAMIC_LOCK
}
// used in a critical section reduce block
static __forceinline void
__kmp_end_critical_section_reduce_block( ident_t * loc, kmp_int32 global_tid, kmp_critical_name * crit ) {
kmp_user_lock_p lck;
#if KMP_USE_DYNAMIC_LOCK
if (KMP_IS_D_LOCK(__kmp_user_lock_seq)) {
lck = (kmp_user_lock_p)crit;
if (__kmp_env_consistency_check)
__kmp_pop_sync(global_tid, ct_critical, loc);
KMP_D_LOCK_FUNC(lck, unset)((kmp_dyna_lock_t *)lck, global_tid);
} else {
kmp_indirect_lock_t *ilk = (kmp_indirect_lock_t *)TCR_PTR(*((kmp_indirect_lock_t **)crit));
if (__kmp_env_consistency_check)
__kmp_pop_sync(global_tid, ct_critical, loc);
KMP_I_LOCK_FUNC(ilk, unset)(ilk->lock, global_tid);
}
#else // KMP_USE_DYNAMIC_LOCK
// We know that the fast reduction code is only emitted by Intel compilers with 32 byte critical
// sections. If there isn't enough space, then we have to use a pointer.
if ( __kmp_base_user_lock_size > 32 ) {
lck = *( (kmp_user_lock_p *) crit );
KMP_ASSERT( lck != NULL );
} else {
lck = (kmp_user_lock_p) crit;
}
if ( __kmp_env_consistency_check )
__kmp_pop_sync( global_tid, ct_critical, loc );
__kmp_release_user_lock_with_checks( lck, global_tid );
#endif // KMP_USE_DYNAMIC_LOCK
} // __kmp_end_critical_section_reduce_block
/* 2.a.i. Reduce Block without a terminating barrier */
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid global thread number
@param num_vars number of items (variables) to be reduced
@param reduce_size size of data in bytes to be reduced
@param reduce_data pointer to data to be reduced
@param reduce_func callback function providing reduction operation on two operands and returning result of reduction in lhs_data
@param lck pointer to the unique lock data structure
@result 1 for the master thread, 0 for all other team threads, 2 for all team threads if atomic reduction needed
The nowait version is used for a reduce clause with the nowait argument.
*/
kmp_int32
__kmpc_reduce_nowait(
ident_t *loc, kmp_int32 global_tid,
kmp_int32 num_vars, size_t reduce_size, void *reduce_data, void (*reduce_func)(void *lhs_data, void *rhs_data),
kmp_critical_name *lck ) {
KMP_COUNT_BLOCK(REDUCE_nowait);
int retval = 0;
PACKED_REDUCTION_METHOD_T packed_reduction_method;
#if OMP_40_ENABLED
kmp_team_t *team;
kmp_info_t *th;
int teams_swapped = 0, task_state;
#endif
KA_TRACE( 10, ( "__kmpc_reduce_nowait() enter: called T#%d\n", global_tid ) );
// why do we need this initialization here at all?
// Reduction clause can not be used as a stand-alone directive.
// do not call __kmp_serial_initialize(), it will be called by __kmp_parallel_initialize() if needed
// possible detection of false-positive race by the threadchecker ???
if( ! TCR_4( __kmp_init_parallel ) )
__kmp_parallel_initialize();
// check correctness of reduce block nesting
#if KMP_USE_DYNAMIC_LOCK
if ( __kmp_env_consistency_check )
__kmp_push_sync( global_tid, ct_reduce, loc, NULL, 0 );
#else
if ( __kmp_env_consistency_check )
__kmp_push_sync( global_tid, ct_reduce, loc, NULL );
#endif
#if OMP_40_ENABLED
th = __kmp_thread_from_gtid(global_tid);
if( th->th.th_teams_microtask ) { // AC: check if we are inside the teams construct?
team = th->th.th_team;
if( team->t.t_level == th->th.th_teams_level ) {
// this is reduction at teams construct
KMP_DEBUG_ASSERT(!th->th.th_info.ds.ds_tid); // AC: check that tid == 0
// Let's swap teams temporarily for the reduction barrier
teams_swapped = 1;
th->th.th_info.ds.ds_tid = team->t.t_master_tid;
th->th.th_team = team->t.t_parent;
th->th.th_team_nproc = th->th.th_team->t.t_nproc;
th->th.th_task_team = th->th.th_team->t.t_task_team[0];
task_state = th->th.th_task_state;
th->th.th_task_state = 0;
}
}
#endif // OMP_40_ENABLED
// packed_reduction_method value will be reused by __kmp_end_reduce* function, the value should be kept in a variable
// the variable should be either a construct-specific or thread-specific property, not a team specific property
// (a thread can reach the next reduce block on the next construct, reduce method may differ on the next construct)
// an ident_t "loc" parameter could be used as a construct-specific property (what if loc == 0?)
// (if both construct-specific and team-specific variables were shared, then unness extra syncs should be needed)
// a thread-specific variable is better regarding two issues above (next construct and extra syncs)
// a thread-specific "th_local.reduction_method" variable is used currently
// each thread executes 'determine' and 'set' lines (no need to execute by one thread, to avoid unness extra syncs)
packed_reduction_method = __kmp_determine_reduction_method( loc, global_tid, num_vars, reduce_size, reduce_data, reduce_func, lck );
__KMP_SET_REDUCTION_METHOD( global_tid, packed_reduction_method );
if( packed_reduction_method == critical_reduce_block ) {
__kmp_enter_critical_section_reduce_block( loc, global_tid, lck );
retval = 1;
} else if( packed_reduction_method == empty_reduce_block ) {
// usage: if team size == 1, no synchronization is required ( Intel platforms only )
retval = 1;
} else if( packed_reduction_method == atomic_reduce_block ) {
retval = 2;
// all threads should do this pop here (because __kmpc_end_reduce_nowait() won't be called by the code gen)
// (it's not quite good, because the checking block has been closed by this 'pop',
// but atomic operation has not been executed yet, will be executed slightly later, literally on next instruction)
if ( __kmp_env_consistency_check )
__kmp_pop_sync( global_tid, ct_reduce, loc );
} else if( TEST_REDUCTION_METHOD( packed_reduction_method, tree_reduce_block ) ) {
//AT: performance issue: a real barrier here
//AT: (if master goes slow, other threads are blocked here waiting for the master to come and release them)
//AT: (it's not what a customer might expect specifying NOWAIT clause)
//AT: (specifying NOWAIT won't result in improvement of performance, it'll be confusing to a customer)
//AT: another implementation of *barrier_gather*nowait() (or some other design) might go faster
// and be more in line with sense of NOWAIT
//AT: TO DO: do epcc test and compare times
// this barrier should be invisible to a customer and to the threading profile tool
// (it's neither a terminating barrier nor customer's code, it's used for an internal purpose)
#if USE_ITT_NOTIFY
__kmp_threads[global_tid]->th.th_ident = loc;
#endif
retval = __kmp_barrier( UNPACK_REDUCTION_BARRIER( packed_reduction_method ), global_tid, FALSE, reduce_size, reduce_data, reduce_func );
retval = ( retval != 0 ) ? ( 0 ) : ( 1 );
// all other workers except master should do this pop here
// ( none of other workers will get to __kmpc_end_reduce_nowait() )
if ( __kmp_env_consistency_check ) {
if( retval == 0 ) {
__kmp_pop_sync( global_tid, ct_reduce, loc );
}
}
} else {
// should never reach this block
KMP_ASSERT( 0 ); // "unexpected method"
}
#if OMP_40_ENABLED
if( teams_swapped ) {
// Restore thread structure
th->th.th_info.ds.ds_tid = 0;
th->th.th_team = team;
th->th.th_team_nproc = team->t.t_nproc;
th->th.th_task_team = team->t.t_task_team[task_state];
th->th.th_task_state = task_state;
}
#endif
KA_TRACE( 10, ( "__kmpc_reduce_nowait() exit: called T#%d: method %08x, returns %08x\n", global_tid, packed_reduction_method, retval ) );
return retval;
}
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid global thread id.
@param lck pointer to the unique lock data structure
Finish the execution of a reduce nowait.
*/
void
__kmpc_end_reduce_nowait( ident_t *loc, kmp_int32 global_tid, kmp_critical_name *lck ) {
PACKED_REDUCTION_METHOD_T packed_reduction_method;
KA_TRACE( 10, ( "__kmpc_end_reduce_nowait() enter: called T#%d\n", global_tid ) );
packed_reduction_method = __KMP_GET_REDUCTION_METHOD( global_tid );
if( packed_reduction_method == critical_reduce_block ) {
__kmp_end_critical_section_reduce_block( loc, global_tid, lck );
} else if( packed_reduction_method == empty_reduce_block ) {
// usage: if team size == 1, no synchronization is required ( on Intel platforms only )
} else if( packed_reduction_method == atomic_reduce_block ) {
// neither master nor other workers should get here
// (code gen does not generate this call in case 2: atomic reduce block)
// actually it's better to remove this elseif at all;
// after removal this value will checked by the 'else' and will assert
} else if( TEST_REDUCTION_METHOD( packed_reduction_method, tree_reduce_block ) ) {
// only master gets here
} else {
// should never reach this block
KMP_ASSERT( 0 ); // "unexpected method"
}
if ( __kmp_env_consistency_check )
__kmp_pop_sync( global_tid, ct_reduce, loc );
KA_TRACE( 10, ( "__kmpc_end_reduce_nowait() exit: called T#%d: method %08x\n", global_tid, packed_reduction_method ) );
return;
}
/* 2.a.ii. Reduce Block with a terminating barrier */
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid global thread number
@param num_vars number of items (variables) to be reduced
@param reduce_size size of data in bytes to be reduced
@param reduce_data pointer to data to be reduced
@param reduce_func callback function providing reduction operation on two operands and returning result of reduction in lhs_data
@param lck pointer to the unique lock data structure
@result 1 for the master thread, 0 for all other team threads, 2 for all team threads if atomic reduction needed
A blocking reduce that includes an implicit barrier.
*/
kmp_int32
__kmpc_reduce(
ident_t *loc, kmp_int32 global_tid,
kmp_int32 num_vars, size_t reduce_size, void *reduce_data,
void (*reduce_func)(void *lhs_data, void *rhs_data),
kmp_critical_name *lck )
{
KMP_COUNT_BLOCK(REDUCE_wait);
int retval = 0;
PACKED_REDUCTION_METHOD_T packed_reduction_method;
KA_TRACE( 10, ( "__kmpc_reduce() enter: called T#%d\n", global_tid ) );
// why do we need this initialization here at all?
// Reduction clause can not be a stand-alone directive.
// do not call __kmp_serial_initialize(), it will be called by __kmp_parallel_initialize() if needed
// possible detection of false-positive race by the threadchecker ???
if( ! TCR_4( __kmp_init_parallel ) )
__kmp_parallel_initialize();
// check correctness of reduce block nesting
#if KMP_USE_DYNAMIC_LOCK
if ( __kmp_env_consistency_check )
__kmp_push_sync( global_tid, ct_reduce, loc, NULL, 0 );
#else
if ( __kmp_env_consistency_check )
__kmp_push_sync( global_tid, ct_reduce, loc, NULL );
#endif
packed_reduction_method = __kmp_determine_reduction_method( loc, global_tid, num_vars, reduce_size, reduce_data, reduce_func, lck );
__KMP_SET_REDUCTION_METHOD( global_tid, packed_reduction_method );
if( packed_reduction_method == critical_reduce_block ) {
__kmp_enter_critical_section_reduce_block( loc, global_tid, lck );
retval = 1;
} else if( packed_reduction_method == empty_reduce_block ) {
// usage: if team size == 1, no synchronization is required ( Intel platforms only )
retval = 1;
} else if( packed_reduction_method == atomic_reduce_block ) {
retval = 2;
} else if( TEST_REDUCTION_METHOD( packed_reduction_method, tree_reduce_block ) ) {
//case tree_reduce_block:
// this barrier should be visible to a customer and to the threading profile tool
// (it's a terminating barrier on constructs if NOWAIT not specified)
#if USE_ITT_NOTIFY
__kmp_threads[global_tid]->th.th_ident = loc; // needed for correct notification of frames
#endif
retval = __kmp_barrier( UNPACK_REDUCTION_BARRIER( packed_reduction_method ), global_tid, TRUE, reduce_size, reduce_data, reduce_func );
retval = ( retval != 0 ) ? ( 0 ) : ( 1 );
// all other workers except master should do this pop here
// ( none of other workers except master will enter __kmpc_end_reduce() )
if ( __kmp_env_consistency_check ) {
if( retval == 0 ) { // 0: all other workers; 1: master
__kmp_pop_sync( global_tid, ct_reduce, loc );
}
}
} else {
// should never reach this block
KMP_ASSERT( 0 ); // "unexpected method"
}
KA_TRACE( 10, ( "__kmpc_reduce() exit: called T#%d: method %08x, returns %08x\n", global_tid, packed_reduction_method, retval ) );
return retval;
}
/*!
@ingroup SYNCHRONIZATION
@param loc source location information
@param global_tid global thread id.
@param lck pointer to the unique lock data structure
Finish the execution of a blocking reduce.
The <tt>lck</tt> pointer must be the same as that used in the corresponding start function.
*/
void
__kmpc_end_reduce( ident_t *loc, kmp_int32 global_tid, kmp_critical_name *lck ) {
PACKED_REDUCTION_METHOD_T packed_reduction_method;
KA_TRACE( 10, ( "__kmpc_end_reduce() enter: called T#%d\n", global_tid ) );
packed_reduction_method = __KMP_GET_REDUCTION_METHOD( global_tid );
// this barrier should be visible to a customer and to the threading profile tool
// (it's a terminating barrier on constructs if NOWAIT not specified)
if( packed_reduction_method == critical_reduce_block ) {
__kmp_end_critical_section_reduce_block( loc, global_tid, lck );
// TODO: implicit barrier: should be exposed
#if USE_ITT_NOTIFY
__kmp_threads[global_tid]->th.th_ident = loc;
#endif
__kmp_barrier( bs_plain_barrier, global_tid, FALSE, 0, NULL, NULL );
} else if( packed_reduction_method == empty_reduce_block ) {
// usage: if team size == 1, no synchronization is required ( Intel platforms only )
// TODO: implicit barrier: should be exposed
#if USE_ITT_NOTIFY
__kmp_threads[global_tid]->th.th_ident = loc;
#endif
__kmp_barrier( bs_plain_barrier, global_tid, FALSE, 0, NULL, NULL );
} else if( packed_reduction_method == atomic_reduce_block ) {
// TODO: implicit barrier: should be exposed
#if USE_ITT_NOTIFY
__kmp_threads[global_tid]->th.th_ident = loc;
#endif
__kmp_barrier( bs_plain_barrier, global_tid, FALSE, 0, NULL, NULL );
} else if( TEST_REDUCTION_METHOD( packed_reduction_method, tree_reduce_block ) ) {
// only master executes here (master releases all other workers)
__kmp_end_split_barrier( UNPACK_REDUCTION_BARRIER( packed_reduction_method ), global_tid );
} else {
// should never reach this block
KMP_ASSERT( 0 ); // "unexpected method"
}
if ( __kmp_env_consistency_check )
__kmp_pop_sync( global_tid, ct_reduce, loc );
KA_TRACE( 10, ( "__kmpc_end_reduce() exit: called T#%d: method %08x\n", global_tid, packed_reduction_method ) );
return;
}
#undef __KMP_GET_REDUCTION_METHOD
#undef __KMP_SET_REDUCTION_METHOD
/*-- end of interface to fast scalable reduce routines ---------------------------------------------------------------*/
kmp_uint64
__kmpc_get_taskid() {
kmp_int32 gtid;
kmp_info_t * thread;
gtid = __kmp_get_gtid();
if ( gtid < 0 ) {
return 0;
}; // if
thread = __kmp_thread_from_gtid( gtid );
return thread->th.th_current_task->td_task_id;
} // __kmpc_get_taskid
kmp_uint64
__kmpc_get_parent_taskid() {
kmp_int32 gtid;
kmp_info_t * thread;
kmp_taskdata_t * parent_task;
gtid = __kmp_get_gtid();
if ( gtid < 0 ) {
return 0;
}; // if
thread = __kmp_thread_from_gtid( gtid );
parent_task = thread->th.th_current_task->td_parent;
return ( parent_task == NULL ? 0 : parent_task->td_task_id );
} // __kmpc_get_parent_taskid
void __kmpc_place_threads(int nS, int sO, int nC, int cO, int nT)
{
if ( ! __kmp_init_serial ) {
__kmp_serial_initialize();
}
__kmp_place_num_sockets = nS;
__kmp_place_socket_offset = sO;
__kmp_place_num_cores = nC;
__kmp_place_core_offset = cO;
__kmp_place_num_threads_per_core = nT;
}
// end of file //
|
schedbench.c | /****************************************************************************
* *
* OpenMP MicroBenchmark Suite - Version 3.1 *
* *
* produced by *
* *
* Mark Bull, Fiona Reid and Nix Mc Donnell *
* *
* at *
* *
* Edinburgh Parallel Computing Centre *
* *
* email: markb@epcc.ed.ac.uk or fiona@epcc.ed.ac.uk *
* *
* *
* This version copyright (c) The University of Edinburgh, 2015. *
* *
* *
* 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 "common.h"
#include "schedbench.h"
//extern void pthread_create(void);
//extern void pthread_join(void);
//extern pthread_t;
typedef struct
{
void * p; /* Pointer to actual object */
unsigned int x; /* Extra information - reuse count etc */
//mjc add attr into pthread_t
//struct pthread_attr_t_* attr;
} pthread_t;
int cksz, itersperthr = 128;
char testName[32];
static void testpthread();
static void testpthreadintegrated();
static void dummypthread();
int schedbench_main(int argc, char **argv) {
ompbench_init(argc, argv);
/* GENERATE REFERENCE TIME */
reference("reference time", &refer);
/*REFERENCE PTHREAD*/
// benchmark("pthreadrecreate", &testpthread);
benchmark("dummypthread", &dummypthread);
benchmark("pthreadonce",&testpthreadintegrated);
/* TEST STATIC */
benchmark("STATIC", &teststatic);
/* TEST STATIC,n */
cksz = 1;
while (cksz <= itersperthr) {
sprintf(testName, "STATIC %d", cksz);
benchmark(testName, &teststaticn);
cksz *= 2;
}
/* TEST DYNAMIC,n */
cksz = 1;
while (cksz <= itersperthr) {
sprintf(testName, "DYNAMIC %d", cksz);
benchmark(testName, &testdynamicn);
cksz *= 2;
}
/* TEST GUIDED,n */
cksz = 1;
while (cksz <= itersperthr / nthreads) {
sprintf(testName, "GUIDED %d", cksz);
benchmark(testName, &testguidedn);
cksz *= 2;
}
finalise();
return EXIT_SUCCESS;
}
void integratedloop(){
for(int j=0;j<innerreps;j++){
for(int i=0;i<itersperthr;i++){
delay(delaylength);
}
}
}
void runloop(){
for(int i=0;i<itersperthr;i++){
delay(delaylength);
}
}
void dummy(){
return;
}
static void dummypthread(){
int i,j;
pthread_t threads[nthreads];
for(i=0; i<nthreads; i++){
pthread_create(&threads[i],NULL, &dummy,NULL);
}
for(i=0; i<nthreads; i++){
pthread_join(threads[i],NULL);
}
}
static void testpthreadintegrated(){
int i,j;
pthread_t threads[nthreads];
for(i=0; i<nthreads; i++){
pthread_create(&threads[i],NULL, &integratedloop,NULL);
}
for(i=0; i<nthreads; i++){
pthread_join(threads[i],NULL);
}
}
static void testpthread(){
int i,j;
pthread_t threads[nthreads];
for(j=0; j < innerreps; j++){
for(i=0; i<nthreads; i++){
pthread_create(&threads[i],NULL, &runloop,NULL);
}
for(i=0; i<nthreads; i++){
pthread_join(threads[i],NULL);
}
}
}
static void refer() {
int i, j;
for (j = 0; j < innerreps; j++) {
for (i = 0; i < itersperthr; i++) {
delay(delaylength);
}
}
}
void teststatic() {
int i, j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps; j++) {
#pragma omp for schedule(static)
for (i = 0; i < itersperthr * nthreads; i++) {
delay(delaylength);
}
}
}
}
void teststaticn() {
int i, j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps; j++) {
#pragma omp for schedule(static,cksz)
for (i = 0; i < itersperthr * nthreads; i++) {
delay(delaylength);
}
}
}
}
void testdynamicn() {
int i, j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps; j++) {
#pragma omp for schedule(dynamic,cksz)
for (i = 0; i < itersperthr * nthreads; i++) {
delay(delaylength);
}
}
}
}
void testguidedn() {
int i, j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps; j++) {
#pragma omp for schedule(guided,cksz)
for (i = 0; i < itersperthr * nthreads; i++) {
delay(delaylength);
}
}
}
}
|
glutils.h | // -*- C++ -*-
#ifndef classutils_h_
#define classutils_h_
#include <unistd.h>
#include <sys/stat.h>
#include <cctype>
#include "glinerec.h"
#ifndef _OPENMP
#define OCRO_THREAD 0
#define OCRO_NTHREADS 1
#else
#include <omp.h>
#define OCRO_THREAD omp_get_thread_num()
#define OCRO_NTHREADS omp_get_num_threads()
#endif
namespace {
using namespace iulib;
using namespace narray_ops;
using namespace narray_io;
using namespace ocropus;
// remove trailing newline
void chomp(char *p) {
while(*p) {
if(*p=='\n') { *p = 0; return; }
p++;
}
}
void remove_spaces(char *p) {
char *q = p;
while(*p) {
if(!std::isspace(*p)) { *q++ = *p; }
p++;
}
*q = 0;
}
inline float rnormal() {
float x,y,s;
do {
x = 2*drand48()-1;
y = 2*drand48()-1;
s = x*x+y*y;
} while(s>1.0);
return x*sqrt(-log(s)/s);
}
inline float rnormal(float mu,float sigma) {
return rnormal()*sigma+mu;
}
inline float rlognormal(float x,float r) {
CHECK(r>1.0);
float n = rnormal(log(x),log(r));
float result = exp(n);
CHECK(!isnan(result));
return result;
}
void fill_random(floatarray &v,float lo,float hi) {
for(int i=0;i<v.length1d();i++)
v.at1d(i) = (hi-lo)*drand48()+lo;
}
// report statistics on some variable
struct Report {
const char *name;
double count,sum,sum2,lo,hi,last_count;
Report(const char *s) {
name = s;
count = 0;
last_count = count;
sum = 0;
sum2 = 0;
lo = 1e300;
hi = -1e300;
}
~Report() {
report();
}
void report() {
if(count>last_count) {
fprintf(stderr,"REPORT %s %g mean %g stddev %g lo %g hi %g\n",name,
count,sum/count,sqrt(sum2/count-sqr(sum/count)),lo,hi);
last_count = count;
}
}
template <class T>
T operator+=(T value) {
count++;
sum += value;
sum2 += sqr(value);
if(value<lo) lo = value;
if(value>hi) hi = value;
return value;
}
};
// check for absence of NaNs
inline bool valid(floatarray &v) {
for(int i=0;i<v.length1d();i++)
if(isnan(v.at1d(i)))
return 0;
return 1;
}
// indent a line by n steps
void indent(int n) {
for(int i=0;i<n;i++) printf(" ");
}
template <class T,class S>
void get_rectangle(narray<T> &out,narray<S> &in,rectangle b) {
out.resize(b.width(),b.height());
for(int i=0;i<out.dim(0);i++)
for(int j=0;j<out.dim(1);j++)
out(i,j) = bat(in,b.x0+i,b.y0+j,0);
}
// estimate the nearest neighbor classification error for
// a particular classification problem
double nn_error(floatarray &data,intarray &classes) {
int total = 0;
int n = data.dim(0);
floatarray dists(n);
for(int i=0;i<n;i++) {
floatarray u;
rowget(u,data,i);
#pragma omp parallel for
for(int j=0;j<n;j++) {
if(i==j) { dists(j) = 1e30; continue; }
floatarray v;
rowget(v,data,j);
dists(j) = dist2squared(u,v);
}
int index = argmin(dists);
if(classes(index)!=classes(i)) total++;
}
return total/double(data.dim(0));
}
// given a set of classes and distances, estimate the posterior
// probability for the k nearest neighbors (by counting)
void knn_posterior(floatarray &posterior,intarray &classes,floatarray &costs,int k) {
NBest nbest(k);
for(int i=0;i<costs.length();i++)
nbest.add(i,-costs(i));
posterior.resize(max(classes)+1);
posterior.fill(0);
for(int i=0;i<nbest.length();i++) {
int index = nbest[i];
posterior(classes(index))++;
}
posterior /= sum(posterior);
}
// perform k nearest neighbor classification
int knn_classify(intarray &classes,floatarray &costs,int k) {
floatarray p;
knn_posterior(p,classes,costs,k);
return argmax(p);
}
// debugging printout of an array
void dprint(intarray &a,int n) {
if(a.rank()==1) {
printf("[");
int i;
for(i=0;i<min(n,a.dim(0));i++) {
if(i>0) printf(" ");
printf("%d",a(i));
}
if(i<a.dim(0)) printf("...");
printf("]");
} else if(a.rank()==2) {
for(int i=0;i<min(n,a.dim(0));i++) {
printf("%4d [",i);
int j;
for(j=0;i<min(n,a.dim(j));i++) {
if(j>0) printf(" ");
printf("%d",a(i,j));
}
if(j<a.dim(1)) printf("...");
printf("]");
}
} else throw "unimplemented";
}
void dprint(floatarray &a,int n) {
if(a.rank()==1) {
printf("[");
int i;
for(i=0;i<min(n,a.dim(0));i++) {
if(i>0) printf(" ");
printf("%g",a(i));
}
if(i<a.dim(0)) printf("...");
printf("]");
} else if(a.rank()==2) {
for(int i=0;i<min(n,a.dim(0));i++) {
printf("%4d [",i);
int j;
for(j=0;i<min(n,a.dim(j));i++) {
if(j>0) printf(" ");
printf("%g",a(i,j));
}
if(j<a.dim(1)) printf("...");
printf("]");
}
} else throw "unimplemented";
}
void dprint(const char *where,const char *label,intarray &a,int n) {
// FIXME
printf("[%s] %s ",where,label);
dprint(a,n);
printf("\n");
}
void dprint(const char *where,const char *label,floatarray &a,int n) {
// FIXME
printf("[%s] %s ",where,label);
dprint(a,n);
printf("\n");
}
// compute, then print a histogram
void print_hist(intarray &a) {
intarray hist(max(a)+1);
hist.fill(0);
for(int i=0;i<a.length();i++)
hist(a(i))++;
dprint(hist,hist.length());
}
// compute, then print a histogram of characters
void print_charhist(intarray &a) {
intarray hist(max(a)+1);
hist.fill(0);
for(int i=0;i<a.length();i++)
hist(a(i))++;
printf("[charhist");
for(int i=0;i<hist.length();i++) {
if(hist(i)==0) continue;
if(i<=32)
printf(" %d:%d",i,hist(i));
else
printf(" '%c':%d",i,hist(i));
}
printf("]\n");
}
// randomly split data (e.g., into a test set and training set)
void split_data(floatarray &vs1,intarray &cs1,
floatarray &vs2,intarray &cs2,
floatarray &vs,intarray &cs,
float frac) {
int n = vs.dim(0), d = vs.dim(1);
intarray selection;
rpermutation(selection,n);
int split = int(n*frac);
vs1.resize(split,d);
cs1.resize(split);
for(int i=0;i<split;i++) {
for(int j=0;j<d;j++) vs1(i,j) = vs(i,j);
cs1(i) = cs(i);
}
vs2.resize(n-split,d);
cs2.resize(n-split);
for(int i=0;i<n-split;i++) {
for(int j=0;j<d;j++) vs2(i,j) = vs(i+split,j);
cs2(i) = cs(i+split);
}
}
void split_classes(intarray &cs1,intarray &cs2,intarray &cs,float frac) {
CHECK(frac>1e-6 && frac<1.0);
int n = cs.length();
intarray selection;
cs1.copy(cs);
cs2.copy(cs);
int split = int(n*frac);
rpermutation(selection,n);
for(int i=0;i<split;i++)
cs2(selection(i)) = -1;
for(int i=split;i<n;i++)
cs1(selection(i)) = -1;
}
void split_samples(intarray &training,intarray &testing,intarray &samples,float frac=0.1) {
intarray a;
a = samples;
shuffle(a);
training.clear();
testing.clear();
int split = int(frac*a.length());
for(int i=0;i<split;i++)
testing.push(samples(i));
for(int i=split;i<a.length();i++)
training.push(samples(i));
ASSERT(training.length()+testing.length()==samples.length());
}
// given a rank 3 array (e.g. MNIST list of images), extract
// a rank two array data(which,:,:)
void get_img(floatarray &image,floatarray &data,int which) {
int h = data.dim(2);
image.resize(data.dim(2),data.dim(1));
for(int i=0;i<image.dim(0);i++)
for(int j=0;j<image.dim(1);j++)
image(i,j) = data(which,h-j-1,i);
}
void get_img(bytearray &image,bytearray &data,int which) {
int h = data.dim(2);
image.resize(data.dim(2),data.dim(1));
for(int i=0;i<image.dim(0);i++)
for(int j=0;j<image.dim(1);j++)
image(i,j) = data(which,h-j-1,i);
}
void get_vec(floatarray &v,floatarray &data,int which) {
int h = data.dim(2);
CHECK(data.rank()==3);
v.resize(data.dim(2)*data.dim(1));
for(int i=0;i<data.dim(1);i++)
for(int j=0;j<data.dim(2);j++)
v(i*h+j) = data(which,h-j-1,i);
}
inline float norm(floatarray &v) {
double total = 0.0;
for(int i=0;i<v.length1d();i++) {
float value = v.at1d(i);
total += value*value;
}
return sqrt(total);
}
void rowmean(floatarray &mean,floatarray &data) {
mean.resize(data.dim(1));
mean.fill(0);
for(int i=0;i<data.dim(0);i++) {
for(int j=0;j<data.dim(1);j++)
mean(j) += data(i,j);
}
mean /= data.dim(0);
}
void rownormalize1(floatarray &data) {
for(int i=0;i<data.dim(0);i++) {
double total = 0.0;
for(int j=0;j<data.dim(1);j++)
total += data(i,j);
for(int j=0;j<data.dim(1);j++)
data(i,j) /= total;
}
}
void rownormalize2(floatarray &data) {
for(int i=0;i<data.dim(0);i++) {
double total = 0.0;
for(int j=0;j<data.dim(1);j++)
total += sqr(data(i,j));
total = sqrt(total);
for(int j=0;j<data.dim(1);j++)
data(i,j) /= total;
}
}
struct GaussModel {
double count,sx,sx2;
GaussModel() {
count = 0;
sx = 0;
sx2 = 0;
}
void operator+=(double x) {
count++;
sx += x;
sx2 += x*x;
}
double cost(double x) {
double mean = sx/count;
double var = sx2/count - sqr(mean);
return sqr(x-mean)/var;
}
};
struct GaussDiagModel {
float count;
floatarray sx,sx2;
GaussDiagModel() {
}
void clear(int n) {
count = 0;
sx.resize(n);
sx.fill(0);
sx2.resize(n);
sx2.fill(0);
}
void operator+=(floatarray &v) {
if(sx.length()==0) clear(v.length());
count++;
sx += v;
for(int i=0;i<v.length();i++)
sx2(i) += sqr(v(i));
}
float cost(floatarray &v) {
if(sx.length()==0) return 1e30;
float total = 0.0;
for(int i=0;i<v.length();i++) {
double mean = sx(i)/count;
double var = sx2(i)/count - sqr(mean);
if(var<1e-6) var = mean;
if(var<1e-6) var = 1.0;
total += sqr(v(i)-mean)/var;
}
CHECK(total>=0);
return total;
}
void save(FILE *stream) {
scalar_write(stream,count);
narray_write(stream,sx);
narray_write(stream,sx2);
}
void load(FILE *stream) {
scalar_read(stream,count);
narray_read(stream,sx);
narray_read(stream,sx2);
}
};
inline int fclamp(float x,int lo,int hi) {
int result = int(x);
if(result<0) return lo;
if(result>=hi) return hi-1;
return result;
}
template <class T>
rectangle bbox(narray<T> &in) {
int w = in.dim(0), h = in.dim(1);
int x0=w,y0=h,x1=0,y1=0;
int threshold = min(in);
for(int i=0;i<w;i++) {
for(int j=0;j<h;j++) {
if(in(i,j)<=threshold) continue;
if(i<x0) x0 = i;
if(i>x1) x1 = i;
if(j<y0) y0 = j;
if(j>y1) y1 = j;
}
}
return rectangle(x0,y0,x1+1,y1+1);
}
void fit_into_box(bytearray &out,bytearray &in,rectangle b,int background=0) {
int w = in.dim(0), h = in.dim(1);
float xscale = float(b.width())/out.dim(0);
float yscale = float(b.height())/out.dim(1);
float scale = max(xscale,yscale);
float dx = (w-scale*out.dim(0))/2;
float dy = (h-scale*out.dim(1))/2;
out.fill(background);
for(int i=0;i<out.dim(0);i++) {
for(int j=0;j<out.dim(1);j++) {
float x = scale*i+dx;
float y = scale*j+dy;
if(x<0||x>w) continue;
if(y<0||y>h) continue;
out(i,j) = bilin(in,x,y);
}
}
}
void extract_box(bytearray &out,bytearray &in,rectangle b,int background=0) {
int w=b.width(),h=b.height();
out.resize(w,h);
out.fill(background);
for(int i=0;i<w;i++) {
for(int j=0;j<w;j++) {
int x = i+b.x0;
int y = j+b.y0;
if(x<0||x>=w) continue;
if(y<0||y>=h) continue;
out(i,j) = in(x,y);
}
}
}
template <class T>
int count(narray<T> &v,float eps=1e-6) {
int count = 0;
for(int i=0;i<v.length1d();i++)
if(fabs(v.at1d(i))>eps)
count++;
return count;
}
point centroid(bytearray &a) {
double sx=0,sy=0,w=0;
for(int i=0;i<a.dim(0);i++) {
for(int j=0;j<a.dim(1);j++) {
double v = a(i,j);
sx += v * i;
sy += v * j;
w += v;
}
}
return point(sx/w,sy/w);
}
void center(bytearray &out,bytearray &in,int size=32,int background=0) {
rectangle b = bbox(in);
point c = centroid(in);
// in(c.x,c.y) = 96;
int rx = max(c.x-b.x0,b.x1-c.x+1);
int ry = max(c.y-b.y0,b.y1-c.y+1);
int r = max(rx,ry);
float scale = float(r)/(size/2);
scale = max(scale,1.0);
// should do some anti-aliasing on the input here
out.resize(size,size);
out.fill(background);
for(int i=0;i<out.dim(0);i++) {
for(int j=0;j<out.dim(1);j++) {
// vector from center of output
float ox = i-size/2;
float oy = j-size/2;
// vector from center of input
float ix = scale*ox;
float iy = scale*oy;
// converted back to input coordinates
int x = int(ix+c.x+0.5);
int y = int(iy+c.y+0.5);
if(x<0 || x>=in.dim(0)) continue;
if(y<0 || y>=in.dim(1)) continue;
out(i,j) = in(x,y);
}
}
}
void center(floatarray &out,bytearray &bin,int size=32,int background=0,int pad=5) {
rectangle b = bbox(bin);
point c = centroid(bin);
int rx = max(c.x-b.x0,b.x1-c.x+1);
int ry = max(c.y-b.y0,b.y1-c.y+1);
int r = max(rx,ry);
float scale = float(r)/(size/2);
scale = max(scale,1.0);
floatarray in;
in.copy(bin);
pad_by(in,pad,pad);
// gauss2d(in,scale,scale);
out.resize(size,size);
out.fill(background);
for(int i=0;i<out.dim(0);i++) {
for(int j=0;j<out.dim(1);j++) {
// vector from center of output
float ox = i-size/2;
float oy = j-size/2;
// vector from center of input
float ix = scale*ox;
float iy = scale*oy;
// converted back to input coordinates
float x = ix+c.x+0.5;
float y = iy+c.y+0.5;
out(i,j) = bilin(in,x+pad,y+pad);
}
}
}
void debug_baseline(bytearray &baseline,float slope,float intercept,float xheight,bytearray &image) {
baseline.copy(image);
int h = baseline.dim(1);
for(int x=0;x<baseline.dim(0);x++) {
int y = fclamp(x*slope+intercept,0,baseline.dim(1)-1);
baseline(x,y) = 128;
if(y+1<h) baseline(x,y+1) = 128;
if(y+xheight<h) baseline(x,int(y+xheight)) = 128;
if(y+xheight+1<h) baseline(x,int(y+xheight)+1) = 128;
}
}
void show_baseline(float slope,float intercept,float xheight,bytearray &image,const char *where="") {
bytearray baseline;
debug_baseline(baseline,slope,intercept,xheight,image);
dshow(baseline,where);
}
void segmentation_as_bitmap(bytearray &image,intarray &cseg) {
image.makelike(cseg);
for(int i=0;i<image.length1d();i++) {
int value = cseg.at1d(i);
if(value==0||value<0xffffff) image.at1d(i) = 255;
}
}
void dump_fst(const char *file,IGenericFst &fst) {
stdio stream(file,"w");
intarray ids,targets,outputs;
floatarray costs;
intarray index(fst.nStates());
floatarray mincost(fst.nStates());
fprintf(stream,"digraph fst {\n");
fprintf(stream,"rankdir = LR;\n");
for(int i=0;i<fst.nStates();i++) {
fst.arcs(ids,targets,outputs,costs,i);
index.fill(-1);
mincost.fill(INFINITY);
for(int j=0;j<targets.length();j++) {
int target = targets[j];
if(mincost[target]>costs[j]) {
index[target] = j;
mincost[target] = costs[j];
}
}
for(int j=0;j<index.length();j++) {
char buf[100]; // costs[k]
int k = index[j];
if(k<0) continue;
sprintf(buf,"%d",int(costs[k]));
// for(int r=0;r<log(costs[k])/log(10);r++) strcat(buf,"*");
if(outputs[k]<32||outputs[k]>=127) {
fprintf(stream," %d -> %d [label=\"%d %s\"];\n",
i,targets[k],outputs[k],buf);
} else if(outputs[k]==32) {
fprintf(stream," %d -> %d [label=\"_ %s\"];\n",
i,targets[k],buf);
} else {
fprintf(stream," %d -> %d [label=\"%c %s\"];\n",
i,targets[k],outputs[k],buf);
}
}
}
fprintf(stream,"}\n");
}
void fst_to_image(intarray &image,IGenericFst &fst) {
dump_fst("/tmp/_temp_.fst",fst);
system("dot -Tpng /tmp/_temp_.fst > /tmp/_temp_.png");
system("convert -geometry '50%x50%' -depth 8 /tmp/_temp_.png /tmp/_temp2_.png");
read_image_packed(image,"/tmp/_temp2_.png");
}
void print_fst_simple(IGenericFst &fst) {
printf("void construct_fst(IGenericFst &fst) {\n");
printf(" int nstates = %d;\n",fst.nStates());
printf(" for(int i=0;i<nstates;i++) ASSERT(i==fst.newState();)\n");
printf(" fst.setStart(%d);\n",fst.getStart());
for(int i=0;i<fst.nStates();i++) {
intarray ids,targets,outputs;
floatarray costs;
if(fst.getAcceptCost(i)<1e30)
printf(" fst.setAccept(%d,%g);\n",
i,fst.getAcceptCost(i));
fst.arcs(ids,targets,outputs,costs,i);
for(int j=0;j<outputs.length();j++)
printf(" fst.addTransition(%d,%d,%d/*%c*/,%g,%d);\n",
i,targets(j),
outputs(j),(outputs(j)<32?'?':outputs(j)),
costs(j),
outputs(j)); // FIXME
}
printf("}\n");
}
struct DebugFst : IGenericFst {
int state;
DebugFst() { state = 0; }
const char *description() { return "DebugFst"; }
int special(const char *) { throw "unimplemented"; }
void load(const char *) { throw "unimplemented"; }
void save(const char *) { throw "unimplemented"; }
void clear() {}
int newState() { return state++; }
void addTransition(int from,int to,int output,float cost,int input) {
fprintf(stderr,"%4d -> %4d [%d]'%c' %g [%d]'%c'\n",
from,to,
output,(output<32?'?':output),
cost,
input,(input<32?'?':input));
}
void setStart(int node) {
fprintf(stderr,"START %d\n",node);
}
void setAccept(int node,float cost) {
fprintf(stderr,"ACCEPT %d %g\n",node,cost);
}
void bestpath(ustrg &result) {
result.clear();
result.utf8Decode("debug-fst-string",16);
}
};
}
extern void init_classutils();
#endif
|
OpenMP.c | // Must be compiled with -fopenmp flag to enable OpenMP
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
void initializeMatrix(long long *matrix, const int rows, const int columns, const long long maxValue) {
for (int row = 0; row < rows; row++) {
for (int column = 0; column < columns; column++) {
matrix[row * columns + column] = rand();
if (maxValue > 0) {
matrix[row * columns + column] %= maxValue;
}
}
}
}
int addMatrices(long long *resultMatrix, const long long *matrixA, const int aRows, const int aColumns,
const long long *matrixB, const int bRows, const int bColumns) {
if (aRows == bRows && aColumns == bColumns) {
const int n = aRows;
const int m = aColumns;
#pragma omp parallel for
for (int row = 0; row < n; row++) {
#pragma omp parallel for
for (int column = 0; column < m; column++) {
resultMatrix[row * m + column] = matrixA[row * m + column] + matrixB[row * m + column];
}
}
return EXIT_SUCCESS;
}
return EXIT_FAILURE;
}
int multiplyMatrices(long long *resultMatrix, const long long *matrixA, const int aRows, const int aColumns,
const long long *matrixB, const int bRows, const int bColumns) {
if (aColumns != bRows) {
return EXIT_FAILURE;
}
const int n = aRows;
const int m = aColumns;
const int p = bColumns;
#pragma omp parallel for
for (int row = 0; row < n; row++) {
#pragma omp parallel for
for (int column = 0; column < p; column++) {
resultMatrix[row * p + column] = 0;
for (int k = 0; k < m; k++) {
resultMatrix[row * p + column] += matrixA[row * m + k] * matrixB[k * p + column];
}
}
}
return EXIT_SUCCESS;
}
void printMatrix(long long *matrix, int rows, int columns) {
for (int row = 0; row < rows; row++) {
for (int column = 0; column < columns; column++) {
printf("%lli\t", matrix[row * columns + column]);
}
puts("");
}
}
#define N 4
#define M 5
#define P 6
int main(int argc, char **argv) {
srand((unsigned int) time(NULL));
// Vector multipication
// A is an n x m matrix
long long matrixA[N][M];
// B is an m x p matrix
long long matrixB[M][P];
// AB is an n x p matrix
long long matrixAB[N][P];
// Vector addition
// X is an n x m matrix
long long matrixX[N][M];
// Y is an n x m matrix
long long matrixY[N][M];
// Z is an n x m matrix
long long matrixZ[N][M];
// Vector multipication
initializeMatrix((long long *) matrixA, N, M, 100);
initializeMatrix((long long *) matrixB, M, P, 100);
// Vector addition
initializeMatrix((long long *) matrixX, N, M, 100);
initializeMatrix((long long *) matrixY, N, M, 100);
clock_t endTime;
clock_t startTime = clock();
// Vector multipication
multiplyMatrices((long long *) matrixAB, (const long long *) matrixA, N, M, (const long long *) matrixB, M, P);
// Vector addition
addMatrices((long long *) matrixZ, (const long long *) matrixX, N, M, (const long long *) matrixX, N, M);
endTime = clock();
// Vector multipication
puts("Matrix A:");
printMatrix((long long *) matrixA, N, M);
puts("");
puts("Matrix B:");
printMatrix((long long *) matrixB, M, P);
puts("");
puts("Matrix AB:");
printMatrix((long long *) matrixAB, N, P);
puts("");
// Vector addition
puts("Matrix X:");
printMatrix((long long *) matrixX, N, M);
puts("");
puts("Matrix Y:");
printMatrix((long long *) matrixY, N, M);
puts("");
puts("Matrix X+Y:");
printMatrix((long long *) matrixZ, N, M);
puts("");
printf("Elapsed CPU time: %f seconds", (endTime - startTime) * 1.0 / CLOCKS_PER_SEC);
return EXIT_SUCCESS;
}
|
example-omp-2.c |
// PWD006: Missing deep copy of non-contiguous data to the GPU
// https://www.appentra.com/knowledge/checks/pwd006
#include <stdlib.h>
void foo(int **A) {
#pragma omp target teams distribute parallel for map(tofrom:A[0:10][0:10])
for (size_t i = 0; i < 10; i++) {
A[i][i] += i;
}
}
|
contact_residualbased_block_builder_and_solver.h | // KRATOS ______ __ __ _____ __ __ __
// / ____/___ ____ / /_____ ______/ /_/ ___// /________ _______/ /___ ___________ _/ /
// / / / __ \/ __ \/ __/ __ `/ ___/ __/\__ \/ __/ ___/ / / / ___/ __/ / / / ___/ __ `/ /
// / /___/ /_/ / / / / /_/ /_/ / /__/ /_ ___/ / /_/ / / /_/ / /__/ /_/ /_/ / / / /_/ / /
// \____/\____/_/ /_/\__/\__,_/\___/\__//____/\__/_/ \__,_/\___/\__/\__,_/_/ \__,_/_/ MECHANICS
//
// License: BSD License
// license: ContactStructuralMechanicsApplication/license.txt
//
// Main authors: Vicente Mataix Ferrandiz
//
//
#if !defined(KRATOS_CONTACT_RESIDUAL_BASED_BLOCK_BUILDER_AND_SOLVER )
#define KRATOS_CONTACT_RESIDUAL_BASED_BLOCK_BUILDER_AND_SOLVER
/* System includes */
/* External includes */
/* Project includes */
#include "solving_strategies/builder_and_solvers/residualbased_block_builder_and_solver.h"
namespace Kratos
{
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
/**
* @class ContactResidualBasedBlockBuilderAndSolver
* @ingroup ContactStructuralMechanicsApplication
* @brief Current class provides an implementation for contact builder and solving operations.
* @details The RHS is constituted by the unbalanced loads (residual). Degrees of freedom are reordered putting the restrained degrees of freedom at the end of the system ordered in reverse order with respect to the DofSet. Imposition of the dirichlet conditions is naturally dealt with as the residual already contains
this information. Calculation of the reactions involves a cost very similiar to the calculation of the total residual
* @author Vicente Mataix Ferrandiz
* @tparam TSparseSpace The sparse matrix system considered
* @tparam TDenseSpace The dense matrix system
* @tparam TLinearSolver The type of linear solver considered
* @tparam TBuilderAndSolver The builder and solver considered as base
*/
template<class TSparseSpace,
class TDenseSpace, //= DenseSpace<double>,
class TLinearSolver, //= LinearSolver<TSparseSpace,TDenseSpace>
class TBuilderAndSolver = ResidualBasedBlockBuilderAndSolver< TSparseSpace, TDenseSpace, TLinearSolver >
>
class ContactResidualBasedBlockBuilderAndSolver
: public TBuilderAndSolver
{
public:
///@name Type Definitions
///@{
/// Pointer definition of ContactResidualBasedBlockBuilderAndSolver
KRATOS_CLASS_POINTER_DEFINITION(ContactResidualBasedBlockBuilderAndSolver);
/// Builder and solver base class
typedef BuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver> BaseBuilderAndSolverType;
/// Definitions dependent of the base class
typedef TBuilderAndSolver BaseType;
/// The definition of the current class
typedef ContactResidualBasedBlockBuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver, TBuilderAndSolver> ClassType;
typedef typename BaseType::TSchemeType TSchemeType;
typedef typename BaseType::TDataType TDataType;
typedef typename BaseType::DofsArrayType DofsArrayType;
typedef typename BaseType::TSystemMatrixType TSystemMatrixType;
typedef typename BaseType::TSystemVectorType TSystemVectorType;
///@}
///@name Life Cycle
///@{
/**
* @brief Default constructor
*/
explicit ContactResidualBasedBlockBuilderAndSolver() : BaseType()
{
}
/**
* @brief Default constructor. (with parameters)
*/
explicit ContactResidualBasedBlockBuilderAndSolver(
typename TLinearSolver::Pointer pNewLinearSystemSolver,
Parameters ThisParameters
) : BaseType(pNewLinearSystemSolver)
{
// Validate and assign defaults
ThisParameters = this->ValidateAndAssignParameters(ThisParameters, this->GetDefaultParameters());
this->AssignSettings(ThisParameters);
}
/** Constructor.
*/
ContactResidualBasedBlockBuilderAndSolver(
typename TLinearSolver::Pointer pNewLinearSystemSolver)
: BaseType(pNewLinearSystemSolver)
{
}
/** Destructor.
*/
~ContactResidualBasedBlockBuilderAndSolver() override
{
}
///@}
///@name Operators
///@{
///@}
///@name Operations
///@{
/**
* @brief Create method
* @param pNewLinearSystemSolver The linear solver for the system of equations
* @param ThisParameters The configuration parameters
*/
typename BaseBuilderAndSolverType::Pointer Create(
typename TLinearSolver::Pointer pNewLinearSystemSolver,
Parameters ThisParameters
) const override
{
return Kratos::make_shared<ClassType>(pNewLinearSystemSolver,ThisParameters);
}
/**
* @brief This method imposses the BC of Dirichlet. It will fill with 0 the corresponding DoF
* @param pScheme The pointer to the scheme considered
* @param rModelPart The model part of the problem to solve
* @param A The LHS of the system
* @param Dx The current solution increment
* @param b The RHS of the system
*/
void ApplyDirichletConditions(
typename TSchemeType::Pointer pScheme,
ModelPart& rModelPart,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b
) override
{
FixIsolatedNodes(rModelPart);
BaseType::ApplyDirichletConditions(pScheme, rModelPart, A, Dx, b);
FreeIsolatedNodes(rModelPart);
}
/**
* @brief This method buils the RHS of the system of equations
* @param pScheme The pointer to the scheme considered
* @param rModelPart The model part of the problem to solve
* @param b The RHS of the system
*/
void BuildRHS(
typename TSchemeType::Pointer pScheme,
ModelPart& rModelPart,
TSystemVectorType& b
) override
{
FixIsolatedNodes(rModelPart);
BaseType::BuildRHS(pScheme, rModelPart, b);
FreeIsolatedNodes(rModelPart);
}
/**
* @brief This method provides the defaults parameters to avoid conflicts between the different constructors
* @return The default parameters
*/
Parameters GetDefaultParameters() const override
{
Parameters default_parameters = Parameters(R"(
{
"name" : "contact_block_builder_and_solver"
})");
// Getting base class default parameters
const Parameters base_default_parameters = BaseType::GetDefaultParameters();
default_parameters.RecursivelyAddMissingParameters(base_default_parameters);
return default_parameters;
}
/**
* @brief Returns the name of the class as used in the settings (snake_case format)
* @return The name of the class
*/
static std::string Name()
{
return "contact_block_builder_and_solver";
}
///@}
///@name Access
///@{
///@}
///@name Inquiry
///@{
///@}
///@name Friends
///@{
///@}
protected:
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
/**
* @brief This method assigns settings to member variables
* @param ThisParameters Parameters that are assigned to the member variables
*/
void AssignSettings(const Parameters ThisParameters) override
{
BaseType::AssignSettings(ThisParameters);
}
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
private:
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
///@}
///@name Private Operators
///@{
/**
* @brief This method check the ISOLATED nodes and it fixes
* @param rModelPart The model part to compute
*/
void FixIsolatedNodes(ModelPart& rModelPart)
{
KRATOS_ERROR_IF_NOT(rModelPart.HasSubModelPart("Contact")) << "CONTACT MODEL PART NOT CREATED" << std::endl;
KRATOS_ERROR_IF_NOT(rModelPart.HasSubModelPart("ComputingContact")) << "CONTACT COMPUTING MODEL PART NOT CREATED" << std::endl;
ModelPart& contact_model_part = rModelPart.GetSubModelPart("Contact");
ModelPart& computing_contact_model_part = rModelPart.GetSubModelPart("ComputingContact");
// We reset the flag
auto& nodes_array = contact_model_part.Nodes();
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
(nodes_array.begin() + i)->Set(VISITED, false);
(nodes_array.begin() + i)->Set(ISOLATED, false);
}
// Now we set the flag in the nodes
auto& conditions_array = computing_contact_model_part.Conditions();
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(conditions_array.size()); ++i) {
auto it_cond = conditions_array.begin() + i;
auto& r_parent_geometry = it_cond->GetGeometry().GetGeometryPart(0);
for (std::size_t i_node = 0; i_node < r_parent_geometry.size(); ++i_node) {
r_parent_geometry[i_node].SetLock();
if (r_parent_geometry[i_node].Is(VISITED) == false) {
r_parent_geometry[i_node].Set(ISOLATED, it_cond->Is(ISOLATED));
r_parent_geometry[i_node].Set(VISITED, true);
} else {
r_parent_geometry[i_node].Set(ISOLATED, r_parent_geometry[i_node].Is(ISOLATED) && it_cond->Is(ISOLATED));
}
r_parent_geometry[i_node].UnSetLock();
}
}
// We fix the LM
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
auto it_node = nodes_array.begin() + i;
if (it_node->Is(ISOLATED) == true) {
if (it_node->SolutionStepsDataHas(LAGRANGE_MULTIPLIER_CONTACT_PRESSURE))
it_node->Fix(LAGRANGE_MULTIPLIER_CONTACT_PRESSURE);
else if (it_node->SolutionStepsDataHas(VECTOR_LAGRANGE_MULTIPLIER_X)) {
it_node->Fix(VECTOR_LAGRANGE_MULTIPLIER_X);
it_node->Fix(VECTOR_LAGRANGE_MULTIPLIER_Y);
it_node->Fix(VECTOR_LAGRANGE_MULTIPLIER_Z);
}
}
}
}
/**
* @brief This method releases the ISOLATED nodes
* @param rModelPart The model part to compute
*/
void FreeIsolatedNodes(ModelPart& rModelPart)
{
KRATOS_ERROR_IF_NOT(rModelPart.HasSubModelPart("Contact")) << "CONTACT MODEL PART NOT CREATED" << std::endl;
ModelPart& contact_model_part = rModelPart.GetSubModelPart("Contact");
// We release the LM
auto& nodes_array = contact_model_part.Nodes();
#pragma omp parallel for
for(int i = 0; i < static_cast<int>(nodes_array.size()); ++i) {
auto it_node = nodes_array.begin() + i;
if (it_node->Is(ISOLATED) == true) {
if (it_node->SolutionStepsDataHas(LAGRANGE_MULTIPLIER_CONTACT_PRESSURE))
it_node->Free(LAGRANGE_MULTIPLIER_CONTACT_PRESSURE);
else if (it_node->SolutionStepsDataHas(VECTOR_LAGRANGE_MULTIPLIER_X)) {
it_node->Free(VECTOR_LAGRANGE_MULTIPLIER_X);
it_node->Free(VECTOR_LAGRANGE_MULTIPLIER_Y);
it_node->Free(VECTOR_LAGRANGE_MULTIPLIER_Z);
}
}
}
}
///@}
///@name Private Operations
///@{
///@}
///@name Private Access
///@{
///@}
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
///@}
}; /* Class ContactResidualBasedBlockBuilderAndSolver */
///@}
///@name Type Definitions */
///@{
///@}
} /* namespace Kratos.*/
#endif /* KRATOS_CONTACT_RESIDUAL_BASED_BLOCK_BUILDER_AND_SOLVER defined */
|
hellohybrid.c | #include <stdio.h>
#include <mpi.h>
#include <omp.h>
int main(int argc, char *argv[]) {
int numprocs, rank, len;
char procname[MPI_MAX_PROCESSOR_NAME];
int tnum = 0, tc = 1;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &numprocs);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Get_processor_name(procname, &len);
#pragma omp parallel default(shared) private(tnum, tc) {
np = omp_get_num_threads();
tnum = omp_get_thread_num();
printf("Thread %d out of %d from process %d out of %d on %s\n",
tnum, tc, rank, numprocs, procname);
}
MPI_Finalize();
} |
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 1999-2017 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://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 "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/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 %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% 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)
{
register 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,4) shared(status) \
magick_threads(image,highlight_image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
MagickBooleanType
sync;
register const Quantum
*magick_restrict p,
*magick_restrict q;
register Quantum
*magick_restrict r;
register 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;
register ssize_t
i;
if ((GetPixelReadMask(image,p) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
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;
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=Sa*p[i]-Da*GetPixelChannel(reconstruct_image,channel,q);
if ((distance*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);
(void) SetImageAlphaChannel(difference_image,OffAlphaChannel,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,4) shared(status) \
magick_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
MagickBooleanType
difference;
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
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;
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=Sa*p[i]-Da*GetPixelChannel(reconstruct_image,channel,q);
if ((distance*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_GetAbsoluteError)
#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;
register 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,4) shared(status) \
magick_threads(image,image,rows,1) reduction(+:area)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
register ssize_t
i;
if ((GetPixelReadMask(image,p) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
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;
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;
register 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,4) shared(status) \
magick_threads(image,image,rows,1) reduction(+:area)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
register ssize_t
i;
if ((GetPixelReadMask(image,p) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
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;
distance=QuantumScale*fabs(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++)
{
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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;
register ssize_t
i;
if ((GetPixelReadMask(image,p) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
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;
distance=fabs(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);
image->error.mean_error_per_pixel=distortion[CompositePixelChannel]/area;
image->error.normalized_mean_error=QuantumScale*QuantumScale*mean_error/area;
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;
register 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,4) shared(status) \
magick_threads(image,image,rows,1) reduction(+:area)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
register ssize_t
i;
if ((GetPixelReadMask(image,p) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
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;
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;
register 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++)
{
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
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++)
{
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
Sa=QuantumScale*(image->alpha_trait != UndefinedPixelTrait ?
GetPixelAlpha(image,p) : OpaqueAlpha);
Da=QuantumScale*(reconstruct_image->alpha_trait != UndefinedPixelTrait ?
GetPixelAlpha(reconstruct_image,q) : OpaqueAlpha);
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;
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,4) shared(status) \
magick_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
register ssize_t
i;
if ((GetPixelReadMask(image,p) == 0) ||
(GetPixelReadMask(reconstruct_image,q) == 0))
{
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;
distance=QuantumScale*fabs(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;
register 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]=20.0*MagickLog10(1.0/sqrt(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,4)
#endif
for (channel=0; channel < MaxPixelChannels; channel++)
{
double
difference;
register ssize_t
i;
difference=0.0;
for (i=0; i < MaximumNumberOfImageMoments; i++)
{
double
alpha,
beta;
register 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;
register ssize_t
i;
status=GetMeanSquaredDistortion(image,reconstruct_image,distortion,exception);
for (i=0; i <= MaxPixelChannels; i++)
distortion[i]=sqrt(distortion[i]);
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+1;
channel_distortion=(double *) AcquireQuantumMemory(length,
sizeof(*channel_distortion));
if (channel_distortion == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) ResetMagickMemory(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;
}
}
*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) ResetMagickMemory(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;
}
}
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++)
{
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
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(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++)
{
register const Quantum
*magick_restrict p,
*magick_restrict q;
register 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++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
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(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,4) \
shared(progress,status,similarity_metric) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) (image->rows-reference->rows+1); y++)
{
double
similarity;
register Quantum
*magick_restrict q;
register 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++)
{
register 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);
if (GetPixelWriteMask(similarity_image,q) == 0)
{
SetPixelBackgoundColor(similarity_image,q);
q+=GetPixelChannels(similarity_image);
continue;
}
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 critical (MagickCore_SimilarityImage)
#endif
proceed=SetImageProgress(image,SimilarityImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
similarity_view=DestroyCacheView(similarity_view);
(void) SetImageAlphaChannel(similarity_image,OffAlphaChannel,exception);
if (status == MagickFalse)
similarity_image=DestroyImage(similarity_image);
return(similarity_image);
}
|
GB_binop__lt_uint64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the 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__lt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_01__lt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_02__lt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_03__lt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__lt_uint64)
// A*D function (colscale): GB (_AxD__lt_uint64)
// D*A function (rowscale): GB (_DxB__lt_uint64)
// C+=B function (dense accum): GB (_Cdense_accumB__lt_uint64)
// C+=b function (dense accum): GB (_Cdense_accumb__lt_uint64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__lt_uint64)
// C=scalar+B GB (_bind1st__lt_uint64)
// C=scalar+B' GB (_bind1st_tran__lt_uint64)
// C=A+scalar GB (_bind2nd__lt_uint64)
// C=A'+scalar GB (_bind2nd_tran__lt_uint64)
// C type: bool
// A type: uint64_t
// B,b type: uint64_t
// BinaryOp: cij = (aij < bij)
#define GB_ATYPE \
uint64_t
#define GB_BTYPE \
uint64_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) \
uint64_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint64_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_LT || GxB_NO_UINT64 || GxB_NO_LT_UINT64)
//------------------------------------------------------------------------------
// 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__lt_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__lt_uint64)
(
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__lt_uint64)
(
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 uint64_t
uint64_t bwork = (*((uint64_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__lt_uint64)
(
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__lt_uint64)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__lt_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *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__lt_uint64)
(
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__lt_uint64)
(
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__lt_uint64)
(
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__lt_uint64)
(
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__lt_uint64)
(
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 ;
uint64_t x = (*((uint64_t *) x_input)) ;
uint64_t *Bx = (uint64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint64_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__lt_uint64)
(
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 ;
uint64_t *Ax = (uint64_t *) Ax_input ;
uint64_t y = (*((uint64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint64_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) \
{ \
uint64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x < aij) ; \
}
GrB_Info GB (_bind1st_tran__lt_uint64)
(
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 \
uint64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t x = (*((const uint64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
}
//------------------------------------------------------------------------------
// 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) \
{ \
uint64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij < y) ; \
}
GrB_Info GB (_bind2nd_tran__lt_uint64)
(
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
uint64_t y = (*((const uint64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
no_wait.c | #include<stdio.h>
#include<omp.h>
int main() {
#pragma omp parallel
{
int tid = omp_get_thread_num();
#pragma omp for nowait
for(int i=0; i<10; i++) {
printf("Thread : %d | %d\n", tid, i);
}
printf("%d -> Hello\n", tid);
}
} |
IndexedFaceMesh.h | #ifndef __INDEXEDFACEMESH_H__
#define __INDEXEDFACEMESH_H__
#include <vector>
#include "Common/Common.h"
#include <iterator>
namespace Utilities
{
class IndexedFaceMesh
{
public:
struct Edge
{
unsigned int m_face[2];
unsigned int m_vert[2];
};
struct Face
{
unsigned int *m_edges;
};
// Stores the indices of each face connected to a specific vertex
struct VertexFaces
{
VertexFaces()
{
m_fIndices = 0;
m_numFaces = 0;
}
VertexFaces(VertexFaces const &other)
{
*this = other;
}
VertexFaces &operator=(VertexFaces const &other)
{
m_numFaces = other.m_numFaces;
m_fIndices = new unsigned int[m_numFaces];
#if defined(_MSC_VER)
std::copy(other.m_fIndices, other.m_fIndices + m_numFaces,
stdext::unchecked_array_iterator<unsigned int*>(m_fIndices));
#else
std::copy(other.m_fIndices, other.m_fIndices + m_numFaces, m_fIndices);
#endif
return *this;
}
~VertexFaces()
{
delete[] m_fIndices;
}
unsigned int m_numFaces;
unsigned int *m_fIndices;
};
// Stores the indices of each edge connected to a specific vertex
struct VertexEdges
{
VertexEdges()
{
m_eIndices = 0;
m_numEdges = 0;
}
VertexEdges(VertexEdges const &other)
{
*this = other;
}
VertexEdges &operator=(VertexEdges const &other)
{
m_numEdges = other.m_numEdges;
m_eIndices = new unsigned int[m_numEdges];
#if defined(_MSC_VER)
std::copy(other.m_eIndices, other.m_eIndices + m_numEdges,
stdext::unchecked_array_iterator<unsigned int*>(m_eIndices));
#else
std::copy(other.m_eIndices, other.m_eIndices + m_numEdges, m_eIndices);
#endif
return *this;
}
~VertexEdges()
{
delete[] m_eIndices;
}
unsigned int m_numEdges;
unsigned int *m_eIndices;
};
public:
typedef std::vector<unsigned int> Faces;
typedef std::vector<Vector3r> FaceNormals;
typedef std::vector<Vector3r> VertexNormals;
typedef std::vector<Face> FaceData;
typedef std::vector<Edge> Edges;
typedef std::vector<VertexFaces> VerticesFaces;
typedef std::vector<VertexEdges> VerticesEdges;
typedef std::vector<unsigned int> UVIndices;
typedef std::vector<Vector2r> UVs;
protected:
unsigned int m_numPoints;
Faces m_indices;
Edges m_edges;
FaceData m_faces;
bool m_closed;
UVIndices m_uvIndices;
UVs m_uvs;
VerticesFaces m_verticesFaces;
VerticesEdges m_verticesEdges;
unsigned int m_verticesPerFace;
FaceNormals m_normals;
VertexNormals m_vertexNormals;
public:
IndexedFaceMesh(const unsigned int verticesPerFace = 3);
IndexedFaceMesh(IndexedFaceMesh const &other);
IndexedFaceMesh &operator=(IndexedFaceMesh const &other);
~IndexedFaceMesh();
void release();
bool isClosed() const;
void initMesh(const unsigned int nPoints, const unsigned int nEdges, const unsigned int nFaces);
void addFace(const unsigned int *const indices);
void addFace(const int *const indices);
void addUV(const Real u, const Real v);
void addUVIndex(const unsigned int index);
const Faces &getFaces() const { return m_indices; }
Faces &getFaces() { return m_indices; }
const FaceNormals &getFaceNormals() const { return m_normals; }
FaceNormals &getFaceNormals() { return m_normals; }
const VertexNormals &getVertexNormals() const { return m_vertexNormals; }
VertexNormals &getVertexNormals() { return m_vertexNormals; }
Edges &getEdges() { return m_edges; }
const Edges &getEdges() const { return m_edges; }
const FaceData &getFaceData() const { return m_faces; }
const UVIndices &getUVIndices() const { return m_uvIndices; }
const UVs &getUVs() const { return m_uvs; }
const VerticesFaces &getVertexFaces() const { return m_verticesFaces; }
const VerticesEdges &getVertexEdges() const { return m_verticesEdges; }
unsigned int numVertices() const { return m_numPoints; }
unsigned int numFaces() const { return (unsigned int) m_indices.size() / m_verticesPerFace; }
unsigned int numEdges() const { return (unsigned int) m_edges.size(); }
unsigned int numUVs() const { return (unsigned int) m_uvs.size(); }
void copyUVs(const UVIndices &uvIndices, const UVs &uvs);
void buildNeighbors();
template<class PositionData>
void updateNormals(const PositionData &pd, const unsigned int offset);
template<class PositionData>
void updateVertexNormals(const PositionData &pd);
unsigned int getVerticesPerFace() const;
};
template<class PositionData>
void IndexedFaceMesh::updateNormals(const PositionData &pd, const unsigned int offset)
{
m_normals.resize(numFaces());
#pragma omp parallel default(shared)
{
#pragma omp for schedule(static)
for (int i = 0; i < (int) numFaces(); i++)
{
// Get first three points of face
const Vector3r &a = pd.getPosition(m_indices[m_verticesPerFace * i] + offset);
const Vector3r &b = pd.getPosition(m_indices[m_verticesPerFace * i + 1] + offset);
const Vector3r &c = pd.getPosition(m_indices[m_verticesPerFace * i + 2] + offset);
// Create normal
Vector3r v1 = b - a;
Vector3r v2 = c - a;
m_normals[i] = v1.cross(v2);
m_normals[i].normalize();
// fix normals of degenerate triangles that can become zero vectors
if (m_normals[i].squaredNorm() < 1e-6f)
m_normals[i] = Vector3r::UnitX();
}
}
}
template<class PositionData>
void IndexedFaceMesh::updateVertexNormals(const PositionData &pd)
{
m_vertexNormals.resize(numVertices());
for (unsigned int i = 0; i < numVertices(); i++)
{
m_vertexNormals[i].setZero();
}
for (unsigned int i = 0u; i < numFaces(); i++)
{
const Vector3r &n = m_normals[i];
m_vertexNormals[m_indices[m_verticesPerFace * i]] += n;
m_vertexNormals[m_indices[m_verticesPerFace * i + 1]] += n;
m_vertexNormals[m_indices[m_verticesPerFace * i + 2]] += n;
}
for (unsigned int i = 0; i < numVertices(); i++)
{
m_vertexNormals[i].normalize();
}
}
}
#endif
|
anis.c | #include "clib.h"
void compute_anis(double *restrict spin, double *restrict field,
double *restrict mu_s_inv,
double *restrict energy,
double *restrict Ku, double *restrict axis, int n) {
/* Remember that the magnetisation order is
* mx1, my1, mz1, mx2, my2, mz2, mx3,...
* so we get the corresponding components multiplying
* by 3 in every iteration. The anisotropy *axis* has the
* same ordering than the magnetisation (it can vary
* in space) and the anisotropy constant can change on
* every lattice site
* Neighbouring sites are not relevant here
*
*/
#pragma omp parallel for
for (int i = 0; i < n; i++) {
double m_u = (spin[3 * i] * axis[3 * i] +
spin[3 * i + 1] * axis[3 * i + 1] +
spin[3 * i + 2] * axis[3 * i + 2]);
field[3 * i] = 2 * Ku[i] * m_u * axis[3 * i] ;
field[3 * i + 1] = 2 * Ku[i] * m_u * axis[3 * i + 1];
field[3 * i + 2] = 2 * Ku[i] * m_u * axis[3 * i + 2];
energy[i] = -Ku[i] * (m_u * m_u);
// Scale field by 1/mu_s
field[3 * i] *= mu_s_inv[i];
field[3 * i + 1] *= mu_s_inv[i];
field[3 * i + 2] *= mu_s_inv[i];
}
}
void compute_anis_cubic(double *restrict spin, double *restrict field,
double *restrict mu_s_inv,
double *restrict energy,
double *restrict Kc, int n) {
/* Remember that the magnetisation order is
* mx1, my1, mz1, mx2, my2, mz2, mx3,...
* so we get the corresponding components multiplying
* by 3 in every iteration.
*
*/
#pragma omp parallel for
for (int i = 0; i < n; i++) {
int j = 3 * i;
field[j] = - 4 * Kc[i] * spin[j] * spin[j] * spin[j];
field[j+1] = - 4 * Kc[i] * spin[j+1] * spin[j+1] * spin[j+1];
field[j+2] = - 4 * Kc[i] * spin[j+2] * spin[j+2] * spin[j+2];
energy[i] = -0.25 * (field[j] * spin[j] +
field[j+1] * spin[j+1] +
field[j+2] * spin[j+2]
);
// Scale field by 1/mu_s
field[3 * i] *= mu_s_inv[i];
field[3 * i + 1] *= mu_s_inv[i];
field[3 * i + 2] *= mu_s_inv[i];
}
}
|
c-tree.h | /* Definitions for C parsing and type checking.
Copyright (C) 1987, 1993, 1994, 1995, 1997, 1998,
1999, 2000, 2001, 2002, 2003, 2004, 2005 Free Software Foundation, Inc.
This file is part of GCC.
GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 2, or (at your option) any later
version.
GCC 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 General Public License
for more details.
You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING. If not, write to the Free
Software Foundation, 51 Franklin Street, Fifth Floor, Boston, MA
02110-1301, USA. */
#ifndef GCC_C_TREE_H
#define GCC_C_TREE_H
#include "c-common.h"
#include "toplev.h"
#include "diagnostic.h"
/* struct lang_identifier is private to c-decl.c, but langhooks.c needs to
know how big it is. This is sanity-checked in c-decl.c. */
#define C_SIZEOF_STRUCT_LANG_IDENTIFIER \
(sizeof (struct c_common_identifier) + 3 * sizeof (void *))
/* Language-specific declaration information. */
struct lang_decl GTY(())
{
char dummy;
};
/* In a RECORD_TYPE or UNION_TYPE, nonzero if any component is read-only. */
#define C_TYPE_FIELDS_READONLY(TYPE) TREE_LANG_FLAG_1 (TYPE)
/* In a RECORD_TYPE or UNION_TYPE, nonzero if any component is volatile. */
#define C_TYPE_FIELDS_VOLATILE(TYPE) TREE_LANG_FLAG_2 (TYPE)
/* In a RECORD_TYPE or UNION_TYPE or ENUMERAL_TYPE
nonzero if the definition of the type has already started. */
#define C_TYPE_BEING_DEFINED(TYPE) TYPE_LANG_FLAG_0 (TYPE)
/* In an incomplete RECORD_TYPE or UNION_TYPE, a list of variable
declarations whose type would be completed by completing that type. */
#define C_TYPE_INCOMPLETE_VARS(TYPE) TYPE_VFIELD (TYPE)
/* In an IDENTIFIER_NODE, nonzero if this identifier is actually a
keyword. C_RID_CODE (node) is then the RID_* value of the keyword,
and C_RID_YYCODE is the token number wanted by Yacc. */
#define C_IS_RESERVED_WORD(ID) TREE_LANG_FLAG_0 (ID)
struct lang_type GTY(())
{
/* In a RECORD_TYPE, a sorted array of the fields of the type. */
struct sorted_fields_type * GTY ((reorder ("resort_sorted_fields"))) s;
/* In an ENUMERAL_TYPE, the min and max values. */
tree enum_min;
tree enum_max;
/* In a RECORD_TYPE, information specific to Objective-C, such
as a list of adopted protocols or a pointer to a corresponding
@interface. See objc/objc-act.h for details. */
tree objc_info;
};
/* Record whether a type or decl was written with nonconstant size.
Note that TYPE_SIZE may have simplified to a constant. */
#define C_TYPE_VARIABLE_SIZE(TYPE) TYPE_LANG_FLAG_1 (TYPE)
#define C_DECL_VARIABLE_SIZE(TYPE) DECL_LANG_FLAG_0 (TYPE)
/* Record whether a typedef for type `int' was actually `signed int'. */
#define C_TYPEDEF_EXPLICITLY_SIGNED(EXP) DECL_LANG_FLAG_1 (EXP)
/* For a FUNCTION_DECL, nonzero if it was defined without an explicit
return type. */
#define C_FUNCTION_IMPLICIT_INT(EXP) DECL_LANG_FLAG_1 (EXP)
/* For a FUNCTION_DECL, nonzero if it was an implicit declaration. */
#define C_DECL_IMPLICIT(EXP) DECL_LANG_FLAG_2 (EXP)
/* For FUNCTION_DECLs, evaluates true if the decl is built-in but has
been declared. */
#define C_DECL_DECLARED_BUILTIN(EXP) \
DECL_LANG_FLAG_3 (FUNCTION_DECL_CHECK (EXP))
/* For FUNCTION_DECLs, evaluates true if the decl is built-in, has a
built-in prototype and does not have a non-built-in prototype. */
#define C_DECL_BUILTIN_PROTOTYPE(EXP) \
DECL_LANG_FLAG_6 (FUNCTION_DECL_CHECK (EXP))
/* Record whether a decl was declared register. This is strictly a
front-end flag, whereas DECL_REGISTER is used for code generation;
they may differ for structures with volatile fields. */
#define C_DECL_REGISTER(EXP) DECL_LANG_FLAG_4 (EXP)
/* Record whether a decl was used in an expression anywhere except an
unevaluated operand of sizeof / typeof / alignof. This is only
used for functions declared static but not defined, though outside
sizeof and typeof it is set for other function decls as well. */
#define C_DECL_USED(EXP) DECL_LANG_FLAG_5 (FUNCTION_DECL_CHECK (EXP))
/* Record whether a label was defined in a statement expression which
has finished and so can no longer be jumped to. */
#define C_DECL_UNJUMPABLE_STMT_EXPR(EXP) \
DECL_LANG_FLAG_6 (LABEL_DECL_CHECK (EXP))
/* Record whether a label was the subject of a goto from outside the
current level of statement expression nesting and so cannot be
defined right now. */
#define C_DECL_UNDEFINABLE_STMT_EXPR(EXP) \
DECL_LANG_FLAG_7 (LABEL_DECL_CHECK (EXP))
/* Record whether a label was defined in the scope of an identifier
with variably modified type which has finished and so can no longer
be jumped to. */
#define C_DECL_UNJUMPABLE_VM(EXP) \
DECL_LANG_FLAG_3 (LABEL_DECL_CHECK (EXP))
/* Record whether a label was the subject of a goto from outside the
current level of scopes of identifiers with variably modified type
and so cannot be defined right now. */
#define C_DECL_UNDEFINABLE_VM(EXP) \
DECL_LANG_FLAG_5 (LABEL_DECL_CHECK (EXP))
/* Record whether a variable has been declared threadprivate by
#pragma omp threadprivate. */
#define C_DECL_THREADPRIVATE_P(DECL) DECL_LANG_FLAG_3 (VAR_DECL_CHECK (DECL))
/* Nonzero for a decl which either doesn't exist or isn't a prototype.
N.B. Could be simplified if all built-in decls had complete prototypes
(but this is presently difficult because some of them need FILE*). */
#define C_DECL_ISNT_PROTOTYPE(EXP) \
(EXP == 0 \
|| (TYPE_ARG_TYPES (TREE_TYPE (EXP)) == 0 \
&& !DECL_BUILT_IN (EXP)))
/* For FUNCTION_TYPE, a hidden list of types of arguments. The same as
TYPE_ARG_TYPES for functions with prototypes, but created for functions
without prototypes. */
#define TYPE_ACTUAL_ARG_TYPES(NODE) TYPE_LANG_SLOT_1 (NODE)
/* Record parser information about an expression that is irrelevant
for code generation alongside a tree representing its value. */
struct c_expr
{
/* The value of the expression. */
tree value;
/* Record the original binary operator of an expression, which may
have been changed by fold, STRING_CST for unparenthesized string
constants, or ERROR_MARK for other expressions (including
parenthesized expressions). */
enum tree_code original_code;
};
/* A kind of type specifier. Note that this information is currently
only used to distinguish tag definitions, tag references and typeof
uses. */
enum c_typespec_kind {
/* A reserved keyword type specifier. */
ctsk_resword,
/* A reference to a tag, previously declared, such as "struct foo".
This includes where the previous declaration was as a different
kind of tag, in which case this is only valid if shadowing that
tag in an inner scope. */
ctsk_tagref,
/* A reference to a tag, not previously declared in a visible
scope. */
ctsk_tagfirstref,
/* A definition of a tag such as "struct foo { int a; }". */
ctsk_tagdef,
/* A typedef name. */
ctsk_typedef,
/* An ObjC-specific kind of type specifier. */
ctsk_objc,
/* A typeof specifier. */
ctsk_typeof
};
/* A type specifier: this structure is created in the parser and
passed to declspecs_add_type only. */
struct c_typespec {
/* What kind of type specifier this is. */
enum c_typespec_kind kind;
/* The specifier itself. */
tree spec;
};
/* A storage class specifier. */
enum c_storage_class {
csc_none,
csc_auto,
csc_extern,
csc_register,
csc_static,
csc_typedef
};
/* A type specifier keyword "void", "_Bool", "char", "int", "float",
"double", or none of these. */
enum c_typespec_keyword {
cts_none,
cts_void,
cts_bool,
cts_char,
cts_int,
cts_float,
cts_double,
cts_dfloat32,
cts_dfloat64,
cts_dfloat128
};
/* A sequence of declaration specifiers in C. */
struct c_declspecs {
/* The type specified, if a single type specifier such as a struct,
union or enum specifier, typedef name or typeof specifies the
whole type, or NULL_TREE if none or a keyword such as "void" or
"char" is used. Does not include qualifiers. */
tree type;
/* The attributes from a typedef decl. */
tree decl_attr;
/* When parsing, the attributes. Outside the parser, this will be
NULL; attributes (possibly from multiple lists) will be passed
separately. */
tree attrs;
/* Any type specifier keyword used such as "int", not reflecting
modifiers such as "short", or cts_none if none. */
enum c_typespec_keyword typespec_word;
/* The storage class specifier, or csc_none if none. */
enum c_storage_class storage_class;
/* Whether any declaration specifiers have been seen at all. */
BOOL_BITFIELD declspecs_seen_p : 1;
/* Whether a type specifier has been seen. */
BOOL_BITFIELD type_seen_p : 1;
/* Whether something other than a storage class specifier or
attribute has been seen. This is used to warn for the
obsolescent usage of storage class specifiers other than at the
start of the list. (Doing this properly would require function
specifiers to be handled separately from storage class
specifiers.) */
BOOL_BITFIELD non_sc_seen_p : 1;
/* Whether the type is specified by a typedef or typeof name. */
BOOL_BITFIELD typedef_p : 1;
/* Whether a struct, union or enum type either had its content
defined by a type specifier in the list or was the first visible
declaration of its tag. */
BOOL_BITFIELD tag_defined_p : 1;
/* Whether the type is explicitly "signed" or specified by a typedef
whose type is explicitly "signed". */
BOOL_BITFIELD explicit_signed_p : 1;
/* Whether the specifiers include a deprecated typedef. */
BOOL_BITFIELD deprecated_p : 1;
/* APPLE LOCAL begin "unavailable" attribute (radar 2809697) */
/* Whether the specifiers include a unavailable typedef. */
BOOL_BITFIELD unavailable_p : 1;
/* APPLE LOCAL end "unavailable" attribute (radar 2809697) */
/* APPLE LOCAL begin private extern */
/* Whether the specifiers include __private_extern. */
BOOL_BITFIELD private_extern_p : 1;
/* APPLE LOCAL end private extern */
/* APPLE LOCAL CW asm blocks */
BOOL_BITFIELD iasm_asm_specbit : 1;
/* Whether the type defaulted to "int" because there were no type
specifiers. */
BOOL_BITFIELD default_int_p;
/* Whether "long" was specified. */
BOOL_BITFIELD long_p : 1;
/* Whether "long" was specified more than once. */
BOOL_BITFIELD long_long_p : 1;
/* Whether "short" was specified. */
BOOL_BITFIELD short_p : 1;
/* Whether "signed" was specified. */
BOOL_BITFIELD signed_p : 1;
/* Whether "unsigned" was specified. */
BOOL_BITFIELD unsigned_p : 1;
/* Whether "complex" was specified. */
BOOL_BITFIELD complex_p : 1;
/* Whether "inline" was specified. */
BOOL_BITFIELD inline_p : 1;
/* Whether "__thread" was specified. */
BOOL_BITFIELD thread_p : 1;
/* Whether "const" was specified. */
BOOL_BITFIELD const_p : 1;
/* Whether "volatile" was specified. */
BOOL_BITFIELD volatile_p : 1;
/* Whether "restrict" was specified. */
BOOL_BITFIELD restrict_p : 1;
};
/* The various kinds of declarators in C. */
enum c_declarator_kind {
/* An identifier. */
cdk_id,
/* A function. */
cdk_function,
/* An array. */
cdk_array,
/* A pointer. */
cdk_pointer,
/* APPLE LOCAL blocks (C++ ch) */
cdk_block_pointer,
/* Parenthesized declarator with nested attributes. */
cdk_attrs
};
/* Information about the parameters in a function declarator. */
struct c_arg_info {
/* A list of parameter decls. */
tree parms;
/* A list of structure, union and enum tags defined. */
tree tags;
/* A list of argument types to go in the FUNCTION_TYPE. */
tree types;
/* A list of non-parameter decls (notably enumeration constants)
defined with the parameters. */
tree others;
/* A list of VLA sizes from the parameters. In a function
definition, these are used to ensure that side-effects in sizes
of arrays converted to pointers (such as a parameter int i[n++])
take place; otherwise, they are ignored. */
tree pending_sizes;
/* True when these arguments had [*]. */
BOOL_BITFIELD had_vla_unspec : 1;
};
/* A declarator. */
struct c_declarator {
/* The kind of declarator. */
enum c_declarator_kind kind;
/* Except for cdk_id, the contained declarator. For cdk_id, NULL. */
struct c_declarator *declarator;
location_t id_loc; /* Currently only set for cdk_id. */
union {
/* For identifiers, an IDENTIFIER_NODE or NULL_TREE if an abstract
declarator. */
tree id;
/* For functions. */
struct c_arg_info *arg_info;
/* For arrays. */
struct {
/* The array dimension, or NULL for [] and [*]. */
tree dimen;
/* The qualifiers inside []. */
int quals;
/* The attributes (currently ignored) inside []. */
tree attrs;
/* Whether [static] was used. */
BOOL_BITFIELD static_p : 1;
/* Whether [*] was used. */
BOOL_BITFIELD vla_unspec_p : 1;
} array;
/* For pointers, the qualifiers on the pointer type. */
int pointer_quals;
/* For attributes. */
tree attrs;
} u;
};
/* A type name. */
struct c_type_name {
/* The declaration specifiers. */
struct c_declspecs *specs;
/* The declarator. */
struct c_declarator *declarator;
};
/* A parameter. */
struct c_parm {
/* The declaration specifiers, minus any prefix attributes. */
struct c_declspecs *specs;
/* The attributes. */
tree attrs;
/* The declarator. */
struct c_declarator *declarator;
};
/* Save and restore the variables in this file and elsewhere
that keep track of the progress of compilation of the current function.
Used for nested functions. */
struct language_function GTY(())
{
struct c_language_function base;
tree x_break_label;
tree x_cont_label;
struct c_switch * GTY((skip)) x_switch_stack;
struct c_arg_info * GTY((skip)) arg_info;
int returns_value;
int returns_null;
int returns_abnormally;
int warn_about_return_type;
/* APPLE LOCAL begin mainline 4.3 2006-10-31 4134307 */
/* APPLE LOCAL end mainline 4.3 2006-10-31 4134307 */
};
/* Save lists of labels used or defined in particular contexts.
Allocated on the parser obstack. */
struct c_label_list
{
/* The label at the head of the list. */
tree label;
/* The rest of the list. */
struct c_label_list *next;
};
/* Statement expression context. */
struct c_label_context_se
{
/* The labels defined at this level of nesting. */
struct c_label_list *labels_def;
/* The labels used at this level of nesting. */
struct c_label_list *labels_used;
/* The next outermost context. */
struct c_label_context_se *next;
};
/* Context of variably modified declarations. */
struct c_label_context_vm
{
/* The labels defined at this level of nesting. */
struct c_label_list *labels_def;
/* The labels used at this level of nesting. */
struct c_label_list *labels_used;
/* The scope of this context. Multiple contexts may be at the same
numbered scope, since each variably modified declaration starts a
new context. */
unsigned scope;
/* The next outermost context. */
struct c_label_context_vm *next;
};
/* in c-parser.c */
extern void c_parse_init (void);
/* in c-aux-info.c */
extern void gen_aux_info_record (tree, int, int, int);
/* in c-decl.c */
extern struct obstack parser_obstack;
extern tree c_break_label;
extern tree c_cont_label;
extern int global_bindings_p (void);
extern void push_scope (void);
extern tree pop_scope (void);
extern void insert_block (tree);
extern void c_expand_body (tree);
extern void c_init_decl_processing (void);
extern void c_dup_lang_specific_decl (tree);
extern void c_print_identifier (FILE *, tree, int);
extern int quals_from_declspecs (const struct c_declspecs *);
extern struct c_declarator *build_array_declarator (tree, struct c_declspecs *,
bool, bool);
extern tree build_enumerator (tree, tree);
extern tree check_for_loop_decls (void);
extern void mark_forward_parm_decls (void);
extern void declare_parm_level (void);
extern void undeclared_variable (tree, location_t);
extern tree declare_label (tree);
extern tree define_label (location_t, tree);
extern void c_maybe_initialize_eh (void);
extern void finish_decl (tree, tree, tree);
extern tree finish_enum (tree, tree, tree);
extern void finish_function (void);
extern tree finish_struct (tree, tree, tree);
extern struct c_arg_info *get_parm_info (bool);
extern tree grokfield (struct c_declarator *, struct c_declspecs *, tree);
extern tree groktypename (struct c_type_name *);
/* APPLE LOCAL blocks 6339747 */
extern tree grokblockdecl (struct c_declspecs *, struct c_declarator *);
extern tree grokparm (const struct c_parm *);
extern tree implicitly_declare (tree);
extern void keep_next_level (void);
extern void pending_xref_error (void);
extern void c_push_function_context (struct function *);
extern void c_pop_function_context (struct function *);
extern void push_parm_decl (const struct c_parm *);
extern struct c_declarator *set_array_declarator_inner (struct c_declarator *,
struct c_declarator *,
bool);
extern tree builtin_function (const char *, tree, int, enum built_in_class,
const char *, tree);
extern void shadow_tag (const struct c_declspecs *);
extern void shadow_tag_warned (const struct c_declspecs *, int);
extern tree start_enum (tree);
extern int start_function (struct c_declspecs *, struct c_declarator *, tree);
extern tree start_decl (struct c_declarator *, struct c_declspecs *, bool,
tree);
extern tree start_struct (enum tree_code, tree);
extern void store_parm_decls (void);
extern void store_parm_decls_from (struct c_arg_info *);
extern tree xref_tag (enum tree_code, tree);
extern struct c_typespec parser_xref_tag (enum tree_code, tree);
extern int c_expand_decl (tree);
extern struct c_parm *build_c_parm (struct c_declspecs *, tree,
struct c_declarator *);
extern struct c_declarator *build_attrs_declarator (tree,
struct c_declarator *);
extern struct c_declarator *build_function_declarator (struct c_arg_info *,
struct c_declarator *);
extern struct c_declarator *build_id_declarator (tree);
extern struct c_declarator *make_pointer_declarator (struct c_declspecs *,
struct c_declarator *);
/* APPLE LOCAL begin radar 5814025 - blocks (C++ cg) */
extern struct c_declarator *make_block_pointer_declarator (struct c_declspecs *,
struct c_declarator *);
/* APPLE LOCAL end radar 5814025 - blocks (C++ cg) */
extern struct c_declspecs *build_null_declspecs (void);
extern struct c_declspecs *declspecs_add_qual (struct c_declspecs *, tree);
extern struct c_declspecs *declspecs_add_type (struct c_declspecs *,
struct c_typespec);
extern struct c_declspecs *declspecs_add_scspec (struct c_declspecs *, tree);
extern struct c_declspecs *declspecs_add_attrs (struct c_declspecs *, tree);
extern struct c_declspecs *finish_declspecs (struct c_declspecs *);
/* in c-objc-common.c */
extern int c_disregard_inline_limits (tree);
extern int c_cannot_inline_tree_fn (tree *);
extern bool c_objc_common_init (void);
extern bool c_missing_noreturn_ok_p (tree);
extern tree c_objc_common_truthvalue_conversion (tree expr);
extern bool c_warn_unused_global_decl (tree);
extern void c_initialize_diagnostics (diagnostic_context *);
extern bool c_vla_unspec_p (tree x, tree fn);
#define c_build_type_variant(TYPE, CONST_P, VOLATILE_P) \
c_build_qualified_type ((TYPE), \
((CONST_P) ? TYPE_QUAL_CONST : 0) | \
((VOLATILE_P) ? TYPE_QUAL_VOLATILE : 0))
/* in c-typeck.c */
extern int in_alignof;
extern int in_sizeof;
extern int in_typeof;
extern struct c_switch *c_switch_stack;
extern struct c_label_context_se *label_context_stack_se;
extern struct c_label_context_vm *label_context_stack_vm;
extern tree require_complete_type (tree);
extern int same_translation_unit_p (tree, tree);
extern int comptypes (tree, tree);
extern bool c_vla_type_p (tree);
extern bool c_mark_addressable (tree);
extern void c_incomplete_type_error (tree, tree);
extern tree c_type_promotes_to (tree);
extern struct c_expr default_function_array_conversion (struct c_expr);
extern tree composite_type (tree, tree);
extern tree build_component_ref (tree, tree);
extern tree build_array_ref (tree, tree);
extern tree build_external_ref (tree, int, location_t);
extern void pop_maybe_used (bool);
extern struct c_expr c_expr_sizeof_expr (struct c_expr);
extern struct c_expr c_expr_sizeof_type (struct c_type_name *);
extern struct c_expr parser_build_unary_op (enum tree_code, struct c_expr);
extern struct c_expr parser_build_binary_op (enum tree_code, struct c_expr,
struct c_expr);
extern tree build_conditional_expr (tree, tree, tree);
extern tree build_compound_expr (tree, tree);
extern tree c_cast_expr (struct c_type_name *, tree);
extern tree build_c_cast (tree, tree);
extern void store_init_value (tree, tree);
extern void error_init (const char *);
extern void pedwarn_init (const char *);
extern void maybe_warn_string_init (tree, struct c_expr);
extern void start_init (tree, tree, int);
extern void finish_init (void);
extern void really_start_incremental_init (tree);
extern void push_init_level (int);
extern struct c_expr pop_init_level (int);
extern void set_init_index (tree, tree);
extern void set_init_label (tree);
extern void process_init_element (struct c_expr);
extern tree build_compound_literal (tree, tree);
extern tree c_start_case (tree);
extern void c_finish_case (tree);
extern tree build_asm_expr (tree, tree, tree, tree, bool);
extern tree build_asm_stmt (tree, tree);
extern tree c_convert_parm_for_inlining (tree, tree, tree, int);
extern int c_types_compatible_p (tree, tree);
extern tree c_begin_compound_stmt (bool);
extern tree c_end_compound_stmt (tree, bool);
extern void c_finish_if_stmt (location_t, tree, tree, tree, bool);
/* APPLE LOCAL begin for-fsf-4_4 3274130 5295549 */ \
extern void c_finish_loop (location_t, tree, tree, tree, tree, tree, tree,
bool);
/* APPLE LOCAL end for-fsf-4_4 3274130 5295549 */ \
extern tree c_begin_stmt_expr (void);
extern tree c_finish_stmt_expr (tree);
extern tree c_process_expr_stmt (tree);
extern tree c_finish_expr_stmt (tree);
extern tree c_finish_return (tree);
extern tree c_finish_bc_stmt (tree *, bool);
extern tree c_finish_goto_label (tree);
extern tree c_finish_goto_ptr (tree);
extern void c_begin_vm_scope (unsigned int);
extern void c_end_vm_scope (unsigned int);
extern tree c_expr_to_decl (tree, bool *, bool *, bool *);
extern tree c_begin_omp_parallel (void);
extern tree c_finish_omp_parallel (tree, tree);
extern tree c_finish_omp_clauses (tree);
/* APPLE LOCAL begin CW asm blocks */
extern tree get_structure_offset (tree, tree);
extern tree lookup_struct_or_union_tag (tree);
/* APPLE LOCAL end CW asm blocks */
/* Set to 0 at beginning of a function definition, set to 1 if
a return statement that specifies a return value is seen. */
extern int current_function_returns_value;
/* Set to 0 at beginning of a function definition, set to 1 if
a return statement with no argument is seen. */
extern int current_function_returns_null;
/* Set to 0 at beginning of a function definition, set to 1 if
a call to a noreturn function is seen. */
extern int current_function_returns_abnormally;
/* Nonzero means we are reading code that came from a system header file. */
extern int system_header_p;
/* True means global_bindings_p should return false even if the scope stack
says we are in file scope. */
extern bool c_override_global_bindings_to_false;
/* True means we've initialized exception handling. */
extern bool c_eh_initialized_p;
/* In c-decl.c */
extern void c_finish_incomplete_decl (tree);
extern void c_write_global_declarations (void);
/* APPLE LOCAL radar 5741070 */
extern tree c_return_interface_record_type (tree);
/* In order for the format checking to accept the C frontend
diagnostic framework extensions, you must include this file before
toplev.h, not after. */
#if GCC_VERSION >= 4001
#define ATTRIBUTE_GCC_CDIAG(m, n) __attribute__ ((__format__ (GCC_DIAG_STYLE, m ,n))) ATTRIBUTE_NONNULL(m)
#else
#define ATTRIBUTE_GCC_CDIAG(m, n) ATTRIBUTE_NONNULL(m)
#endif
extern void pedwarn_c90 (const char *, ...) ATTRIBUTE_GCC_CDIAG(1,2);
extern void pedwarn_c99 (const char *, ...) ATTRIBUTE_GCC_CDIAG(1,2);
#endif /* ! GCC_C_TREE_H */
|
kmclight.h | /*
* Copyright 2009-2011 The VOTCA Development Team (http://www.votca.org)
*
* 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
*vector<Node*>
* 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 __VOTCA_KMC_LIGHT_H
#define __VOTCA_KMC_LIGHT_H
// #include <votca/kmc/vssmgroup.h>
#include <vector>
// #include <map>
#include <iostream>
#include <string>
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <votca/tools/vec.h>
#include <votca/tools/statement.h>
#include <votca/tools/database.h>
#include <votca/tools/tokenizer.h>
#include <votca/tools/globals.h>
#include <votca/tools/random2.h>
// #include "node.h"
using namespace std;
namespace votca { namespace kmc {
typedef votca::tools::vec myvec;
struct EventLight
{
// EventLight() : dr(3) {}
int destination;
double rate;
votca::tools::vec dr;
};
class NodeLight
{
public:
int id;
int occupied;
int injectable;
double escaperate;
double occupationtime;
vector<EventLight> event;
double EscapeRate();
// double CurrentEscapeRate(NodeLight node2);
// void Jump(NodeLight node2);
void AddEventLight(int seg2, double rate12, myvec dr);
void InitEscapeRate();
};
void NodeLight::AddEventLight(int seg2, double rate12, myvec dr)
{
EventLight newEventLight;
newEventLight.destination = seg2;
newEventLight.rate = rate12;
newEventLight.dr = dr;
this->event.push_back(newEventLight);
}
void NodeLight::InitEscapeRate()
{
double newEscapeRate = 0;
for(unsigned int i=0; i<this->event.size();i++)
{
newEscapeRate += this->event[i].rate;
}
this->escaperate = newEscapeRate;
// cout << "Escape rate for segment " << this->id << " was set to " << newEscapeRate << endl;
}
double NodeLight::EscapeRate()
{
return escaperate;
}
class ChargecarrierLight
{
public:
int position;
int id;
NodeLight *node;
myvec dr_travelled;
};
void progressbarLight(double fraction)
{
int totalbars = 50;
std::cout << "\r";
for(double bars=0; bars<double(totalbars); bars++)
{
if(bars<=fraction*double(totalbars))
{
std::cout << "|";
}
else
{
std::cout << "-";
}
}
std::cout << " " << int(fraction*1000)/10. <<" % ";
std::cout << std::flush;
if(fraction*100 == 100)
{
std::cout << std::endl;
}
}
int OMPinfoLight()
{
int nthreads=1, tid=0, procs, inpar=0;
printf("\n||\n|| openMP PARALLEL COMPUTATION STATUS:\n");
#pragma omp parallel private(tid)
{
# ifdef _OPENMP
tid = omp_get_thread_num();
if (tid == 0)
{
procs = omp_get_num_procs();
nthreads = omp_get_num_threads();
inpar = omp_in_parallel();
printf("|| Number of processors = %d\n", procs);
printf("|| Number of threads = %d\n", nthreads);
}
# endif
if (tid == 0)
{
printf("|| In parallel? = %d\n||\n", inpar);
}
}
return nthreads;
}
class KMCLight : public KMCCalculator
{
public:
KMCLight() {};
~KMCLight() {};
void Initialize(const char *filename, Property *options );
bool EvaluateFrame();
protected:
vector<NodeLight*> LoadGraph();
vector<double> RunVSSM(vector<NodeLight*> node, double runtime, unsigned int numberofcharges, votca::tools::Random2 *RandomVariable);
void WriteOcc(vector<double> occP, vector<NodeLight*> node);
// map<int , node_t *> _nodes_lookup;
// vector<node_t *> _nodes;
// map<int , node_t *> _injection_lookup;
// vector<node_t *> _injection;
string _injection_name;
double _runtime;
// double _dt;
int _seed;
int _numberofcharges;
int _allowparallel;
double _fieldX;
double _fieldY;
double _fieldZ;
string _filename; // HACK
};
void KMCLight::Initialize(const char *filename, Property *options )
{
if (options->exists("options.kmcmultiple.runtime")) {
_runtime = options->get("options.kmcmultiple.runtime").as<double>();
}
else {
throw runtime_error("Error in kmcmultiple: total run time is not provided");
}
// if (options->exists("options.kmcmultiple.outputtime")) {
// _dt = options->get("options.kmcmultiple.outputtime").as<double>();
// }
// else {
// throw runtime_error("Error in kmcmultiple: output frequency is not provided");
// }
if (options->exists("options.kmcmultiple.seed")) {
_seed = options->get("options.kmcmultiple.seed").as<int>();
}
else {
throw runtime_error("Error in kmcmultiple: seed is not provided");
}
if (options->exists("options.kmcmultiple.numberofcharges")) {
_numberofcharges = options->get("options.kmcmultiple.numberofcharges").as<int>();
}
else {
throw runtime_error("Error in kmcmultiple: number of charges is not provided");
}
if (options->exists("options.kmcmultiple.injection")) {
_injection_name = options->get("options.kmcmultiple.injection").as<string>();
}
else {
throw runtime_error("Error in kmcmultiple: injection pattern is not provided");
}
if (options->exists("options.kmcmultiple.allowparallel")) {
_allowparallel = options->get("options.kmcmultiple.allowparallel").as<int>();
}
else {
cout << "WARNING in kmcmultiple: You did not specify if parallel computation is allowed. It will be disabled." << endl;
_allowparallel = 0;
}
if (options->exists("options.kmcmultiple.fieldX")) {
_fieldX = options->get("options.kmcmultiple.fieldX").as<double>();
}
else {
_fieldX = 0;
}
if (options->exists("options.kmcmultiple.fieldY")) {
_fieldY = options->get("options.kmcmultiple.fieldY").as<double>();
}
else {
_fieldY = 0;
}
if (options->exists("options.kmcmultiple.fieldZ")) {
_fieldZ = options->get("options.kmcmultiple.fieldZ").as<double>();
}
else {
_fieldZ = 0;
}
_filename = filename;
//cout << _seed << endl;
//srand(_seed);
//votca::tools::Random::init(rand(), rand(), rand(), rand());
}
vector<NodeLight*> KMCLight::LoadGraph()
{
string injectionpattern = "*";
vector<NodeLight*> node;
// Load nodes
votca::tools::Database db;
db.Open( _filename );
if(verbose >= 1) {cout << "LOADING GRAPH" << endl << "database file: " << _filename << endl; }
votca::tools::Statement *stmt = db.Prepare("SELECT id-1, name FROM segments;");
int i=0;
while (stmt->Step() != SQLITE_DONE)
{
NodeLight *newNodeLight = new NodeLight();
node.push_back(newNodeLight);
int newid = stmt->Column<int>(0);
string name = stmt->Column<string>(1);
node[i]->id = newid;
if (votca::tools::wildcmp(injectionpattern.c_str(), name.c_str()))
{
node[i]->injectable = 1;
}
else
{
node[i]->injectable = 0;
}
i++;
}
delete stmt;
if(verbose >= 1) { cout << "segments: " << node.size() << endl; }
// Load pairs and rates
int numberofpairs = 0;
stmt = db.Prepare("SELECT seg1-1 AS 'segment1', seg2-1 AS 'segment2', rate12e AS 'rate', drX, drY, drZ FROM pairs UNION SELECT seg2-1 AS 'segment1', seg1-1 AS 'segment2', rate21e AS 'rate', -drX AS 'drX', -drY AS 'drY', -drZ AS 'drZ' FROM pairs ORDER BY segment1;");
while (stmt->Step() != SQLITE_DONE)
{
int seg1 = stmt->Column<int>(0);
int seg2 = stmt->Column<int>(1);
double rate12 = stmt->Column<double>(2);
myvec dr = myvec(stmt->Column<double>(3), stmt->Column<double>(4), stmt->Column<double>(5));
node[seg1]->AddEventLight(seg2,rate12,dr);
numberofpairs ++;
}
delete stmt;
if(verbose >= 1) { cout << "pairs: " << numberofpairs/2 << endl; }
// Calculate initial escape rates
for(unsigned int i=0; i<node.size(); i++)
{
node[i]->InitEscapeRate();
}
return node;
}
void ResetForbiddenLight(vector<int> &forbiddenid)
{
forbiddenid.clear();
}
void AddtForbiddenLight(int id, vector<int> &forbiddenid)
{
forbiddenid.push_back(id);
}
int ForbiddenLight(int id, vector<int> forbiddenlist)
{
// cout << "forbidden list has " << forbiddenlist.size() << " entries" << endl;
int forbidden = 0;
for (unsigned int i=0; i< forbiddenlist.size(); i++)
{
if(id == forbiddenlist[i])
{
forbidden = 1;
// cout << "ID " << id << " has been found as element " << i << " (" << forbiddenlist[i]+1<< ") in the forbidden list." << endl;
break;
}
}
return forbidden;
}
int Surrounded(NodeLight* node, vector<int> forbiddendests)
{
//if(node->event.size() == forbiddendests.size())
//{
// return 1;
//}
//else
//{
// return 0;
//}
int surrounded = 1;
for(unsigned int i=0; i<node->event.size(); i++)
{
int thisevent_possible = 1;
for(unsigned int j=0; j<forbiddendests.size(); j++)
{
if(node->event[i].destination == forbiddendests[j])
{
thisevent_possible = 0;
break;
}
}
if(thisevent_possible == 1)
{
surrounded = 0;
// cout << "NOT SURROUNDED, POSSIBLE EVENT: " << node->id+1 << "->" << node->event[i].destination+1 << endl;
break;
}
}
return surrounded;
}
void printtimeLight(int seconds_t)
{
int seconds = seconds_t;
int minutes = 0;
int hours = 0;
while(seconds / 60 >= 1)
{
seconds -= 60;
minutes += 1;
}
while(minutes / 60 >= 1)
{
minutes -= 60;
hours += 1;
}
char buffer [50];
int n = sprintf(buffer, "%d:%02d:%02d",hours,minutes,seconds);
printf("%s",buffer,n);
}
vector<double> KMCLight::RunVSSM(vector<NodeLight*> node, double runtime, unsigned int numberofcharges, votca::tools::Random2 *RandomVariable)
{
int tid = 0;
# ifdef _OPENMP
tid = omp_get_thread_num();
# endif
int realtime_start = time(NULL);
if(tid == 0)
{
cout << endl << "Algorithm: VSSM for Multiple Charges" << endl;
cout << "number of charges: " << numberofcharges << endl;
cout << "number of nodes: " << node.size() << endl;
}
if(numberofcharges > node.size())
{
throw runtime_error("ERROR in kmcmultiple: specified number of charges is greater than the number of nodes. This conflicts with single occupation.");
}
double outputfrequency = runtime/100;
vector<double> occP(node.size(),0.);
// Injection
vector< ChargecarrierLight* > carrier;
for (unsigned int i = 0; i < numberofcharges; i++)
{
ChargecarrierLight *newCharge = new ChargecarrierLight;
newCharge->id = i;
newCharge->node = node[RandomVariable->rand_uniform_int(node.size())];
while(newCharge->node->occupied == 1 || newCharge->node->injectable != 1)
{ // maybe already occupied? or maybe not injectable?
newCharge->node = node[RandomVariable->rand_uniform_int(node.size())];
}
newCharge->node->occupied = 1;
newCharge->dr_travelled = myvec(0,0,0);
if(tid == 0) {cout << "starting position for charge " << i+1 << ": segment " << newCharge->node->id+1 << endl; }
carrier.push_back(newCharge);
}
double simtime = 0.;
int step = 0;
double nextoutput = outputfrequency;
progressbarLight(0.);
vector<int> forbiddennodes;
vector<int> forbiddendests;
while(simtime < runtime)
{
double cumulated_rate = 0;
for(unsigned int i=0; i<numberofcharges; i++)
{
cumulated_rate += carrier[i]->node->EscapeRate();
}
if(cumulated_rate == 0)
{ // this should not happen: no possible jumps defined for a node
throw runtime_error("ERROR in kmcmultiple: Incorrect rates in the database file. All the escape rates for the current setting are 0.");
}
// go forward in time
double dt = 0;
double rand_u = 1-RandomVariable->rand_uniform();
while(rand_u == 0)
{
cout << "WARNING: encountered 0 as a random variable! New try." << endl;
rand_u = 1-RandomVariable->rand_uniform();
}
dt = -1 / cumulated_rate * log(rand_u);
simtime += dt;
if(verbose >= 1 && tid == 0) {cout << "simtime += " << dt << endl << endl;}
step += 1;
for(unsigned int i=0; i<numberofcharges; i++)
{
carrier[i]->node->occupationtime += dt;
}
ResetForbiddenLight(forbiddennodes);
int level1step = 0;
while(level1step == 0)
// LEVEL 1
{
// determine which electron will escape
NodeLight* do_oldnode;
NodeLight* do_newnode;
ChargecarrierLight* do_affectedcarrier;
double u = 1 - RandomVariable->rand_uniform();
for(unsigned int i=0; i<numberofcharges; i++)
{
u -= carrier[i]->node->EscapeRate()/cumulated_rate;
if(u <= 0)
{
do_oldnode = carrier[i]->node;
do_affectedcarrier = carrier[i];
break;
}
do_oldnode = carrier[i]->node;
do_affectedcarrier = carrier[i];
}
double maxprob = 0.;
double newprob = 0.;
myvec dr;
if(verbose >= 1 && tid == 0) {cout << "Charge number " << do_affectedcarrier->id+1 << " which is sitting on segment " << do_oldnode->id+1 << " will escape!" << endl ;}
if(ForbiddenLight(do_oldnode->id, forbiddennodes) == 1) {continue;}
// determine where it will jump to
ResetForbiddenLight(forbiddendests);
while(true)
{
// LEVEL 2
if(verbose >= 1 && tid == 0) {cout << "There are " << do_oldnode->event.size() << " possible jumps for this charge:"; }
do_newnode = NULL;
u = 1 - RandomVariable->rand_uniform();
for(unsigned int j=0; j<do_oldnode->event.size(); j++)
{
if(ForbiddenLight(do_oldnode->event[j].destination, forbiddendests) == 1)
{ // directly skip forbidden events
if(verbose >= 1 && tid == 0) { cout << " [" << do_oldnode->event[j].destination+1 << " FORBIDDEN]" ; }
continue;
}
if(verbose >= 1 && tid == 0) { cout << " " << do_oldnode->event[j].destination+1 ; }
u -= do_oldnode->event[j].rate/do_oldnode->EscapeRate();
if(u <= 0)
{
do_newnode = node[do_oldnode->event[j].destination];
dr = do_oldnode->event[j].dr;
break;
}
do_newnode = node[do_oldnode->event[j].destination];
dr = do_oldnode->event[j].dr;
}
if(do_newnode == NULL)
{
if(verbose >= 1 && tid == 0) {cout << endl << "NodeLight " << do_oldnode->id+1 << " is SURROUNDED by forbidden destinations and zero rates. Adding it to the list of forbidden nodes. After that: selection of a new escape node." << endl; }
AddtForbiddenLight(do_oldnode->id, forbiddennodes);
int nothing=0;
cin >> nothing;
break; // select new escape node (ends level 2 but without setting level1step to 1)
}
if(verbose >= 1 && tid == 0) {cout << endl << "Selected jump: " << do_newnode->id+1 << endl; }
// if the new segment is unoccupied: jump; if not: nothing??
if(do_newnode->occupied == 1)
{
if(Surrounded(do_oldnode, forbiddendests) == 1)
{
if(verbose >= 1 && tid == 0) {cout << "NodeLight " << do_oldnode->id+1 << " is SURROUNDED by forbidden destinations. Adding it to the list of forbidden nodes. After that: selection of a new escape node." << endl; }
AddtForbiddenLight(do_oldnode->id, forbiddennodes);
break; // select new escape node (ends level 2 but without setting level1step to 1)
}
if(verbose >= 1 && tid == 0) {cout << "Selected segment: " << do_newnode->id+1 << " is already OCCUPIED. Added to forbidden list." << endl << endl;}
AddtForbiddenLight(do_newnode->id, forbiddendests);
if(verbose >= 1 && tid == 0) {cout << "Now choosing different hopping destination." << endl; }
continue; // select new destination
}
else
{
do_newnode->occupied = 1;
do_oldnode->occupied = 0;
do_affectedcarrier->node = do_newnode;
do_affectedcarrier->dr_travelled += dr;
level1step = 1;
if(verbose >= 1 && tid == 0) {cout << "Charge has jumped to segment: " << do_newnode->id+1 << "." << endl;}
// cout << "old node: " << do_oldnode->id+1 << ", occupation: " << do_oldnode->occupied << endl;
// cout << "new node: " << do_newnode->id+1 << ", occupation: " << do_newnode->occupied << endl;
break; // this ends LEVEL 2 , so that the time is updated and the next MC step started
}
if(verbose >= 1 && tid == 0) {cout << "." << endl;}
// END LEVEL 2
}
// END LEVEL 1
}
if(simtime > nextoutput && tid == 0)
{
nextoutput = simtime + outputfrequency;
progressbarLight(simtime/runtime);
cout << " remaining: ";
printtimeLight(int((runtime/simtime-1) * (int(time(NULL)) - realtime_start)));
}
// cout << "step " << step << endl;
}
progressbarLight(1.);
// calculate occupation probabilities from occupation times
for(unsigned int j=0; j<node.size(); j++)
{
occP[j] = node[j]->occupationtime / simtime;
}
if (tid == 0)
{
cout << endl << "finished KMC simulation after " << step << " steps." << endl;
cout << "runtime: ";
printtime(time(NULL) - realtime_start);
myvec dr_travelled = myvec (0,0,0);
cout << endl << "Average velocities (m/s): " << endl;
for(unsigned int i=0; i<numberofcharges; i++)
{
//cout << std::scientific << " charge " << i+1 << ": " << carrier[i]->dr_travelled/simtime*1e-9 << endl;
cout << std::scientific << " charge " << i+1 << ": " << carrier[i]->dr_travelled/simtime << endl;
dr_travelled += carrier[i]->dr_travelled;
}
dr_travelled /= numberofcharges;
//cout << std::scientific << " Overall average velocity (m/s): " << dr_travelled/simtime*1e-9 << endl;
cout << std::scientific << " Overall average velocity (m/s): " << dr_travelled/simtime << endl;
cout << endl << "Distances travelled (m): " << endl;
for(unsigned int i=0; i<numberofcharges; i++)
{
cout << std::scientific << " charge " << i+1 << ": " << carrier[i]->dr_travelled << endl;
}
// calculate mobilities
double absolute_field = sqrt(_fieldX*_fieldX + _fieldY*_fieldY + _fieldZ*_fieldZ);
double average_mobilityZ = 0;
if (absolute_field != 0)
{
cout << endl << "Mobilities (cm^2/Vs): " << endl;
for(unsigned int i=0; i<numberofcharges; i++)
{
//myvec velocity = carrier[i]->dr_travelled/simtime*1e-9;
myvec velocity = carrier[i]->dr_travelled/simtime;
double absolute_velocity = sqrt(velocity.x()*velocity.x() + velocity.y()*velocity.y() + velocity.z()*velocity.z());
//cout << std::scientific << " charge " << i+1 << ": mu=" << absolute_velocity/absolute_field*1E4 << endl;
cout << std::scientific << " charge " << i+1 << ": muZ=" << velocity.z()/_fieldZ*1E4 << endl;
average_mobilityZ += velocity.z()/_fieldZ*1E4;
}
average_mobilityZ /= numberofcharges;
cout << std::scientific << " Overall average z-mobility <muZ>=" << average_mobilityZ << endl;
}
cout << endl;
}
return occP;
}
void KMCLight::WriteOcc(vector<double> occP, vector<NodeLight*> node)
{
votca::tools::Database db;
cout << "Opening for writing " << _filename << endl;
db.Open(_filename);
db.Exec("BEGIN;");
votca::tools::Statement *stmt = db.Prepare("UPDATE segments SET occPe = ? WHERE id = ?;"); // electron occ. prob., check (think about) this
for(unsigned int i=0; i<node.size(); ++i)
{
stmt->Reset();
stmt->Bind(1, occP[i]);
stmt->Bind(2, node[i]->id+1);
stmt->Step();
}
db.Exec("END;");
delete stmt;
}
bool KMCLight::EvaluateFrame()
{
std::cout << "-----------------------------------" << std::endl;
std::cout << " KMC FOR MULTIPLE CHARGES" << std::endl;
std::cout << "-----------------------------------" << std::endl << std::endl;
unsigned int numberofthreads = 1;
if(_allowparallel == 1)
{
numberofthreads = OMPinfoLight();
}
// Initialise random number generator
// each thread i in a parallel computation needs is own set RandomVariable[i]
if(verbose >= 1) { cout << endl << "Initialising random number generator" << endl; }
srand(_seed); // srand expects any integer in order to initialise the random number generator
vector< votca::tools::Random2* > RandomVariable;
for (unsigned int i = 0; i < numberofthreads; i++)
{
votca::tools::Random2 *newRandomVariable = new votca::tools::Random2();
RandomVariable.push_back(newRandomVariable);
RandomVariable[i]->init(rand(), rand(), rand(), rand());
}
// VSSM KMC algorithm
//cout << endl << "KMC SIMULATION" << endl;
cout << "number of threads: " << numberofthreads << endl;
vector<NodeLight*> node;
node = KMCLight::LoadGraph();
vector<double> occP(node.size(),0.);
vector< vector< double > > occPOneRun ( numberofthreads, vector<double> ( node.size(), 0. ) );
# ifdef _OPENMP
(void) omp_set_num_threads(numberofthreads);
# endif
#pragma omp parallel private(node)
{
node = KMCLight::LoadGraph();
int thread = 0;
# ifdef _OPENMP
thread = omp_get_thread_num();
# endif
occPOneRun[thread] = KMCLight::RunVSSM(node, _runtime/numberofthreads, _numberofcharges, RandomVariable[thread]);
}
// get mean of multiple runs
for(unsigned int j=0; j<occP.size();j++)
{
for(unsigned int thread=0; thread<numberofthreads; thread++)
{
occP[j] += occPOneRun[thread][j];
}
occP[j] /= numberofthreads;
}
// output occupation probabilites
for(unsigned int thread=0; thread<numberofthreads; thread++)
{
for(unsigned int j=0; j<occPOneRun[thread].size();j++)
{
if(occPOneRun[thread][j] > 0)
{
// cout << "[thread " << thread+1 << "] "<<"occupation probability " << node[j]->id+1 << ": " << occPOneRun[thread][j] << endl;
}
}
}
// output occupation
cout << endl;
for(unsigned int j=0; j<occP.size();j++)
{
if(occP[j] > 0)
{
// cout << "occupation probability " << node[j]->id+1 << ": " << occP[j] << endl;
}
}
// write occupation probabilites
KMCLight::WriteOcc(occP, node);
return true;
}
}}
#endif /* __VOTCA_KMC_LIGHT_H */
|
GB_unaryop__lnot_int32_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__lnot_int32_uint16
// op(A') function: GB_tran__lnot_int32_uint16
// C type: int32_t
// A type: uint16_t
// cast: int32_t cij = (int32_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
uint16_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// 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_LNOT || GxB_NO_INT32 || GxB_NO_UINT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_int32_uint16
(
int32_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__lnot_int32_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
|
medutils.c | /*
* Author: Curtis McCully
* October 2014
* Licensed under a 3-clause BSD style license - see LICENSE.rst
*
* Originally written in C++ in 2011
* See also https://github.com/cmccully/lacosmicx
*
* This file contains median utility functions for SCRAPPY. These are the most
* computationally expensive pieces of the calculation so they have been ported
* to C.
*
* Many thanks to Nicolas Devillard who wrote the optimized methods for finding
* the median and placed them in the public domain. I have noted in the
* comments places that use Nicolas Devillard's code.
*
* Parallelization has been achieved using OpenMP. Using a compiler that does
* not support OpenMP, e.g. clang currently, the code should still compile and
* run serially without issue. I have tried to be explicit as possible about
* specifying which variables are private and which should be shared, although
* we never actually have any shared variables. We use firstprivate instead.
* This does mean that it is important that we never have two threads write to
* the same memory position at the same time.
*
* All calculations are done with 32 bit floats to keep the memory footprint
* small.
*/
#include<Python.h>
#include "medutils.h"
#define ELEM_SWAP(a,b) { float t=(a);(a)=(b);(b)=t; }
float
PyMedian(float* a, int n)
{
/* Get the median of an array "a" with length "n"
* using the Quickselect algorithm. Returns a float.
* This Quickselect routine is based on the algorithm described in
* "Numerical recipes in C", Second Edition, Cambridge University Press,
* 1992, Section 8.5, ISBN 0-521-43108-5
* This code by Nicolas Devillard - 1998. Public domain.
*/
PyDoc_STRVAR(PyMedian__doc__, "PyMedian(a, n) -> float\n\n"
"Get the median of array a of length n using the Quickselect "
"algorithm.");
/* Make a copy of the array so that we don't alter the input array */
float* arr = (float *) malloc(n * sizeof(float));
/* Indices of median, low, and high values we are considering */
int low = 0;
int high = n - 1;
int median = (low + high) / 2;
/* Running indices for the quick select algorithm */
int middle, ll, hh;
/* The median to return */
float med;
/* running index i */
int i;
/* Copy the input data into the array we work with */
for (i = 0; i < n; i++) {
arr[i] = a[i];
}
/* Start an infinite loop */
while (true) {
/* Only One or two elements left */
if (high <= low + 1) {
/* Check if we need to swap the two elements */
if ((high == low + 1) && (arr[low] > arr[high]))
ELEM_SWAP(arr[low], arr[high]);
med = arr[median];
free(arr);
return med;
}
/* Find median of low, middle and high items;
* swap into position low */
middle = (low + high) / 2;
if (arr[middle] > arr[high])
ELEM_SWAP(arr[middle], arr[high]);
if (arr[low] > arr[high])
ELEM_SWAP(arr[low], arr[high]);
if (arr[middle] > arr[low])
ELEM_SWAP(arr[middle], arr[low]);
/* Swap low item (now in position middle) into position (low+1) */
ELEM_SWAP(arr[middle], arr[low + 1]);
/* Nibble from each end towards middle,
* swap items when stuck */
ll = low + 1;
hh = high;
while (true) {
do
ll++;
while (arr[low] > arr[ll]);
do
hh--;
while (arr[hh] > arr[low]);
if (hh < ll)
break;
ELEM_SWAP(arr[ll], arr[hh]);
}
/* Swap middle item (in position low) back into
* the correct position */
ELEM_SWAP(arr[low], arr[hh]);
/* Re-set active partition */
if (hh <= median)
low = ll;
if (hh >= median)
high = hh - 1;
}
}
#undef ELEM_SWAP
/* All of the optimized median methods below were written by
* Nicolas Devillard and are in the public domain.
*/
#define PIX_SORT(a,b) { if (a>b) PIX_SWAP(a,b); }
#define PIX_SWAP(a,b) { float temp=a; a=b; b=temp; }
/* ----------------------------------------------------------------------------
Function : PyOptMed3()
In : pointer to array of 3 pixel values
Out : a pixel value
Job : optimized search of the median of 3 pixel values
Notice : found on sci.image.processing
cannot go faster unless assumptions are made on the nature of the input
signal.
Code adapted from Nicolas Devillard.
--------------------------------------------------------------------------- */
float
PyOptMed3(float* p)
{
PyDoc_STRVAR(PyOptMed3__doc__, "PyOptMed3(a) -> float\n\n"
"Get the median of array a of length 3 using a search tree.");
PIX_SORT(p[0], p[1]);
PIX_SORT(p[1], p[2]);
PIX_SORT(p[0], p[1]);
return p[1];
}
/* ----------------------------------------------------------------------------
Function : PyOptMed5()
In : pointer to array of 5 pixel values
Out : a pixel value
Job : optimized search of the median of 5 pixel values
Notice : found on sci.image.processing
cannot go faster unless assumptions are made on the nature of the input
signal.
Code adapted from Nicolas Devillard.
--------------------------------------------------------------------------- */
float
PyOptMed5(float* p)
{
PyDoc_STRVAR(PyOptMed5__doc__, "PyOptMed5(a) -> float\n\n"
"Get the median of array a of length 5 using a search tree.");
PIX_SORT(p[0], p[1]);
PIX_SORT(p[3], p[4]);
PIX_SORT(p[0], p[3]);
PIX_SORT(p[1], p[4]);
PIX_SORT(p[1], p[2]);
PIX_SORT(p[2], p[3]);
PIX_SORT(p[1], p[2]);
return p[2];
}
/* ----------------------------------------------------------------------------
Function : PyOptMed7()
In : pointer to array of 7 pixel values
Out : a pixel value
Job : optimized search of the median of 7 pixel values
Notice : found on sci.image.processing
cannot go faster unless assumptions are made on the nature of the input
signal.
Code adapted from Nicolas Devillard.
--------------------------------------------------------------------------- */
float
PyOptMed7(float* p)
{
PyDoc_STRVAR(PyOptMed7__doc__, "PyOptMed7(a) -> float\n\n"
"Get the median of array a of length 7 using a search tree.");
PIX_SORT(p[0], p[5]);
PIX_SORT(p[0], p[3]);
PIX_SORT(p[1], p[6]);
PIX_SORT(p[2], p[4]);
PIX_SORT(p[0], p[1]);
PIX_SORT(p[3], p[5]);
PIX_SORT(p[2], p[6]);
PIX_SORT(p[2], p[3]);
PIX_SORT(p[3], p[6]);
PIX_SORT(p[4], p[5]);
PIX_SORT(p[1], p[4]);
PIX_SORT(p[1], p[3]);
PIX_SORT(p[3], p[4]);
return p[3];
}
/* ----------------------------------------------------------------------------
Function : PyOptMed9()
In : pointer to an array of 9 pixel values
Out : a pixel value
Job : optimized search of the median of 9 pixel values
Notice : in theory, cannot go faster without assumptions on the
signal.
Formula from:
XILINX XCELL magazine, vol. 23 by John L. Smith
The input array is modified in the process
The result array is guaranteed to contain the median
value in middle position, but other elements are NOT sorted.
Code adapted from Nicolas Devillard.
--------------------------------------------------------------------------- */
float
PyOptMed9(float* p)
{
PyDoc_STRVAR(PyOptMed9__doc__, "PyOptMed9(a) -> float\n\n"
"Get the median of array a of length 9 using a search tree.");
PIX_SORT(p[1], p[2]);
PIX_SORT(p[4], p[5]);
PIX_SORT(p[7], p[8]);
PIX_SORT(p[0], p[1]);
PIX_SORT(p[3], p[4]);
PIX_SORT(p[6], p[7]);
PIX_SORT(p[1], p[2]);
PIX_SORT(p[4], p[5]);
PIX_SORT(p[7], p[8]);
PIX_SORT(p[0], p[3]);
PIX_SORT(p[5], p[8]);
PIX_SORT(p[4], p[7]);
PIX_SORT(p[3], p[6]);
PIX_SORT(p[1], p[4]);
PIX_SORT(p[2], p[5]);
PIX_SORT(p[4], p[7]);
PIX_SORT(p[4], p[2]);
PIX_SORT(p[6], p[4]);
PIX_SORT(p[4], p[2]);
return p[4];
}
/* ----------------------------------------------------------------------------
Function : PyOptMed25()
In : pointer to an array of 25 pixel values
Out : a pixel value
Job : optimized search of the median of 25 pixel values
Notice : in theory, cannot go faster without assumptions on the
signal.
Code taken from Graphic Gems.
Code adapted from Nicolas Devillard.
--------------------------------------------------------------------------- */
float
PyOptMed25(float* p)
{
PyDoc_STRVAR(PyOptMed25__doc__, "PyOptMed25(a) -> float\n\n"
"Get the median of array a of length 25 using a search tree.");
PIX_SORT(p[0], p[1]);
PIX_SORT(p[3], p[4]);
PIX_SORT(p[2], p[4]);
PIX_SORT(p[2], p[3]);
PIX_SORT(p[6], p[7]);
PIX_SORT(p[5], p[7]);
PIX_SORT(p[5], p[6]);
PIX_SORT(p[9], p[10]);
PIX_SORT(p[8], p[10]);
PIX_SORT(p[8], p[9]);
PIX_SORT(p[12], p[13]);
PIX_SORT(p[11], p[13]);
PIX_SORT(p[11], p[12]);
PIX_SORT(p[15], p[16]);
PIX_SORT(p[14], p[16]);
PIX_SORT(p[14], p[15]);
PIX_SORT(p[18], p[19]);
PIX_SORT(p[17], p[19]);
PIX_SORT(p[17], p[18]);
PIX_SORT(p[21], p[22]);
PIX_SORT(p[20], p[22]);
PIX_SORT(p[20], p[21]);
PIX_SORT(p[23], p[24]);
PIX_SORT(p[2], p[5]);
PIX_SORT(p[3], p[6]);
PIX_SORT(p[0], p[6]);
PIX_SORT(p[0], p[3]);
PIX_SORT(p[4], p[7]);
PIX_SORT(p[1], p[7]);
PIX_SORT(p[1], p[4]);
PIX_SORT(p[11], p[14]);
PIX_SORT(p[8], p[14]);
PIX_SORT(p[8], p[11]);
PIX_SORT(p[12], p[15]);
PIX_SORT(p[9], p[15]);
PIX_SORT(p[9], p[12]);
PIX_SORT(p[13], p[16]);
PIX_SORT(p[10], p[16]);
PIX_SORT(p[10], p[13]);
PIX_SORT(p[20], p[23]);
PIX_SORT(p[17], p[23]);
PIX_SORT(p[17], p[20]);
PIX_SORT(p[21], p[24]);
PIX_SORT(p[18], p[24]);
PIX_SORT(p[18], p[21]);
PIX_SORT(p[19], p[22]);
PIX_SORT(p[8], p[17]);
PIX_SORT(p[9], p[18]);
PIX_SORT(p[0], p[18]);
PIX_SORT(p[0], p[9]);
PIX_SORT(p[10], p[19]);
PIX_SORT(p[1], p[19]);
PIX_SORT(p[1], p[10]);
PIX_SORT(p[11], p[20]);
PIX_SORT(p[2], p[20]);
PIX_SORT(p[2], p[11]);
PIX_SORT(p[12], p[21]);
PIX_SORT(p[3], p[21]);
PIX_SORT(p[3], p[12]);
PIX_SORT(p[13], p[22]);
PIX_SORT(p[4], p[22]);
PIX_SORT(p[4], p[13]);
PIX_SORT(p[14], p[23]);
PIX_SORT(p[5], p[23]);
PIX_SORT(p[5], p[14]);
PIX_SORT(p[15], p[24]);
PIX_SORT(p[6], p[24]);
PIX_SORT(p[6], p[15]);
PIX_SORT(p[7], p[16]);
PIX_SORT(p[7], p[19]);
PIX_SORT(p[13], p[21]);
PIX_SORT(p[15], p[23]);
PIX_SORT(p[7], p[13]);
PIX_SORT(p[7], p[15]);
PIX_SORT(p[1], p[9]);
PIX_SORT(p[3], p[11]);
PIX_SORT(p[5], p[17]);
PIX_SORT(p[11], p[17]);
PIX_SORT(p[9], p[17]);
PIX_SORT(p[4], p[10]);
PIX_SORT(p[6], p[12]);
PIX_SORT(p[7], p[14]);
PIX_SORT(p[4], p[6]);
PIX_SORT(p[4], p[7]);
PIX_SORT(p[12], p[14]);
PIX_SORT(p[10], p[14]);
PIX_SORT(p[6], p[7]);
PIX_SORT(p[10], p[12]);
PIX_SORT(p[6], p[10]);
PIX_SORT(p[6], p[17]);
PIX_SORT(p[12], p[17]);
PIX_SORT(p[7], p[17]);
PIX_SORT(p[7], p[10]);
PIX_SORT(p[12], p[18]);
PIX_SORT(p[7], p[12]);
PIX_SORT(p[10], p[18]);
PIX_SORT(p[12], p[20]);
PIX_SORT(p[10], p[20]);
PIX_SORT(p[10], p[12]);
return p[12];
}
#undef PIX_SORT
#undef PIX_SWAP
/* We have slightly unusual boundary conditions for all of the median filters
* below. Rather than padding the data, we just don't calculate the median
* filter for pixels around the border of the output image (n - 1) / 2 from
* the edge, where we are using an n x n median filter. Edge effects often
* look like cosmic rays and the edges are often blank so this shouldn't
* matter. We fill the border with the original data values.
*/
/* Calculate the 3x3 median filter of an array data that has dimensions
* nx x ny. The results are saved in the output array. The output array should
* already be allocated as we work on it in place. The median filter is not
* calculated for a 1 pixel border around the image. These pixel values are
* copied from the input data. The data should be striped along the x
* direction, such that pixel i,j in the 2D image should have memory location
* data[i + nx *j].
*/
void
PyMedFilt3(float* data, float* output, int nx, int ny)
{
PyDoc_STRVAR(PyMedFilt3__doc__,
"PyMedFilt3(data, output, nx, ny) -> void\n\n"
"Calculate the 3x3 median filter on an array data with dimensions "
"nx x ny. The results are saved in the output array. The output "
"array should already be allocated as we work on it in place. The "
"median filter is not calculated for a 1 pixel border around the "
"image. These pixel values are copied from the input data. Note "
"that the data array needs to be striped in the x direction such "
"that pixel i,j has memory location data[i + nx * j]");
/*Total size of the array */
int nxny = nx * ny;
/* Loop indices */
int i, j, nxj;
int k, l, nxk;
/* 9 element array to calculate the median and a counter index. Note that
* these both need to be unique for each thread so they both need to be
* private and we wait to allocate memory until the pragma below.*/
float* medarr;
int medcounter;
/* Each thread needs to access the data and the output so we make them
* firstprivate. We make sure that our algorithm doesn't have multiple
* threads read or write the same piece of memory. */
#pragma omp parallel firstprivate(output, data, nx, ny) \
private(i, j, k, l, medarr, nxj, nxk, medcounter)
{
/*Each thread allocates its own array. */
medarr = (float *) malloc(9 * sizeof(float));
/* Go through each pixel excluding the border.*/
#pragma omp for nowait
for (j = 1; j < ny - 1; j++) {
/* Precalculate the multiplication nx * j, minor optimization */
nxj = nx * j;
for (i = 1; i < nx - 1; i++) {
medcounter = 0;
/* The compiler should optimize away these loops */
for (k = -1; k < 2; k++) {
nxk = nx * k;
for (l = -1; l < 2; l++) {
medarr[medcounter] = data[nxj + i + nxk + l];
medcounter++;
}
}
/* Calculate the median in the fastest way possible */
output[nxj + i] = PyOptMed9(medarr);
}
}
/* Each thread needs to free its own copy of medarr */
free(medarr);
}
#pragma omp parallel firstprivate(output, data, nx, nxny) private(i)
/* Copy the border pixels from the original data into the output array */
for (i = 0; i < nx; i++) {
output[i] = data[i];
output[nxny - nx + i] = data[nxny - nx + i];
}
#pragma omp parallel firstprivate(output, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
output[nxj] = data[nxj];
output[nxj + nx - 1] = data[nxj + nx - 1];
}
return;
}
/* Calculate the 5x5 median filter of an array data that has dimensions
* nx x ny. The results are saved in the output array. The output array should
* already be allocated as we work on it in place. The median filter is not
* calculated for a 2 pixel border around the image. These pixel values are
* copied from the input data. The data should be striped along the
* x direction, such that pixel i,j in the 2D image should have memory
* location data[i + nx *j].
*/
void
PyMedFilt5(float* data, float* output, int nx, int ny)
{
PyDoc_STRVAR(PyMedFilt5__doc__,
"PyMedFilt5(data, output, nx, ny) -> void\n\n"
"Calculate the 5x5 median filter on an array data with dimensions "
"nx x ny. The results are saved in the output array. The output "
"array should already be allocated as we work on it in place. The "
"median filter is not calculated for a 2 pixel border around the "
"image. These pixel values are copied from the input data. Note "
"that the data array needs to be striped in the x direction such "
"that pixel i,j has memory location data[i + nx * j]");
/*Total size of the array */
int nxny = nx * ny;
/* Loop indices */
int i, j, nxj;
int k, l, nxk;
/* 25 element array to calculate the median and a counter index. Note that
* these both need to be unique for each thread so they both need to be
* private and we wait to allocate memory until the pragma below. */
float* medarr;
int medcounter;
/* Each thread needs to access the data and the output so we make them
* firstprivate. We make sure that our algorithm doesn't have multiple
* threads read or write the same piece of memory. */
#pragma omp parallel firstprivate(output, data, nx, ny) \
private(i, j, k, l, medarr, nxj, nxk, medcounter)
{
/*Each thread allocates its own array. */
medarr = (float *) malloc(25 * sizeof(float));
/* Go through each pixel excluding the border.*/
#pragma omp for nowait
for (j = 2; j < ny - 2; j++) {
/* Precalculate the multiplication nx * j, minor optimization */
nxj = nx * j;
for (i = 2; i < nx - 2; i++) {
medcounter = 0;
/* The compiler should optimize away these loops */
for (k = -2; k < 3; k++) {
nxk = nx * k;
for (l = -2; l < 3; l++) {
medarr[medcounter] = data[nxj + i + nxk + l];
medcounter++;
}
}
/* Calculate the median in the fastest way possible */
output[nxj + i] = PyOptMed25(medarr);
}
}
/* Each thread needs to free its own copy of medarr */
free(medarr);
}
#pragma omp parallel firstprivate(output, data, nx, nxny) private(i)
/* Copy the border pixels from the original data into the output array */
for (i = 0; i < nx; i++) {
output[i] = data[i];
output[i + nx] = data[i + nx];
output[nxny - nx + i] = data[nxny - nx + i];
output[nxny - nx - nx + i] = data[nxny - nx - nx + i];
}
#pragma omp parallel firstprivate(output, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
output[nxj] = data[nxj];
output[nxj + 1] = data[nxj + 1];
output[nxj + nx - 1] = data[nxj + nx - 1];
output[nxj + nx - 2] = data[nxj + nx - 2];
}
return;
}
/* Calculate the 7x7 median filter of an array data that has dimensions
* nx x ny. The results are saved in the output array. The output array should
* already be allocated as we work on it in place. The median filter is not
* calculated for a 3 pixel border around the image. These pixel values are
* copied from the input data. The data should be striped along the
* x direction, such that pixel i,j in the 2D image should have memory
* location data[i + nx *j].
*/
void
PyMedFilt7(float* data, float* output, int nx, int ny)
{
PyDoc_STRVAR(PyMedFilt7__doc__,
"PyMedFilt7(data, output, nx, ny) -> void\n\n"
"Calculate the 7x7 median filter on an array data with dimensions "
"nx x ny. The results are saved in the output array. The output "
"array should already be allocated as we work on it in place. The "
"median filter is not calculated for a 3 pixel border around the "
"image. These pixel values are copied from the input data. Note "
"that the data array needs to be striped in the x direction such "
"that pixel i,j has memory location data[i + nx * j]");
/*Total size of the array */
int nxny = nx * ny;
/* Loop indices */
int i, j, nxj;
int k, l, nxk;
/* 49 element array to calculate the median and a counter index. Note that
* these both need to be unique for each thread so they both need to be
* private and we wait to allocate memory until the pragma below. */
float* medarr;
int medcounter;
/* Each thread needs to access the data and the output so we make them
* firstprivate. We make sure that our algorithm doesn't have multiple
* threads read or write the same piece of memory. */
#pragma omp parallel firstprivate(output, data, nx, ny) \
private(i, j, k, l, medarr, nxj, nxk, medcounter)
{
/*Each thread allocates its own array. */
medarr = (float *) malloc(49 * sizeof(float));
/* Go through each pixel excluding the border.*/
#pragma omp for nowait
for (j = 3; j < ny - 3; j++) {
/* Precalculate the multiplication nx * j, minor optimization */
nxj = nx * j;
for (i = 3; i < nx - 3; i++) {
medcounter = 0;
/* The compiler should optimize away these loops */
for (k = -3; k < 4; k++) {
nxk = nx * k;
for (l = -3; l < 4; l++) {
medarr[medcounter] = data[nxj + i + nxk + l];
medcounter++;
}
}
/* Calculate the median in the fastest way possible */
output[nxj + i] = PyMedian(medarr, 49);
}
}
/* Each thread needs to free its own copy of medarr */
free(medarr);
}
#pragma omp parallel firstprivate(output, data, nx, nxny) private(i)
/* Copy the border pixels from the original data into the output array */
for (i = 0; i < nx; i++) {
output[i] = data[i];
output[i + nx] = data[i + nx];
output[i + nx + nx] = data[i + nx + nx];
output[nxny - nx + i] = data[nxny - nx + i];
output[nxny - nx - nx + i] = data[nxny - nx - nx + i];
output[nxny - nx - nx - nx + i] = data[nxny - nx - nx - nx + i];
}
#pragma omp parallel firstprivate(output, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
output[nxj] = data[nxj];
output[nxj + 1] = data[nxj + 1];
output[nxj + 2] = data[nxj + 2];
output[nxj + nx - 1] = data[nxj + nx - 1];
output[nxj + nx - 2] = data[nxj + nx - 2];
output[nxj + nx - 3] = data[nxj + nx - 3];
}
return;
}
/* Calculate the 3x3 separable median filter of an array data that has
* dimensions nx x ny. The results are saved in the output array. The output
* array should already be allocated as we work on it in place. The median
* filter is not calculated for a 1 pixel border around the image. These pixel
* values are copied from the input data. The data should be striped along
* the x direction, such that pixel i,j in the 2D image should have memory
* location data[i + nx *j]. Note that the rows are median filtered first,
* followed by the columns.
*/
void
PySepMedFilt3(float* data, float* output, int nx, int ny)
{
PyDoc_STRVAR(PySepMedFilt3__doc__,
"PySepMedFilt3(data, output, nx, ny) -> void\n\n"
"Calculate the 3x3 separable median filter on an array data with"
"dimensions nx x ny. The results are saved in the output array "
"which should already be allocated as we work on it in place. The "
"median filter is not calculated for a 1 pixel border which is "
"copied from the input data. The data array should be striped in "
"the x direction such that pixel i,j has memory location "
"data[i + nx * j]. Note that the rows are median filtered first, "
"followed by the columns.");
/* Total number of pixels */
int nxny = nx * ny;
/* Output array for the median filter of the rows. We later median filter
* the columns of this array. */
float* rowmed = (float *) malloc(nxny * sizeof(float));
/* Loop indices */
int i, j, nxj;
/* 3 element array to calculate the median and a counter index. Note that
* this array needs to be unique for each thread so it needs to be
* private and we wait to allocate memory until the pragma below. */
float* medarr;
/* Median filter the rows first */
/* Each thread needs to access the data and rowmed so we make them
* firstprivate. We make sure that our algorithm doesn't have multiple
* threads read or write the same piece of memory. */
#pragma omp parallel firstprivate(data, rowmed, nx, ny) \
private(i, j, nxj, medarr)
{
/*Each thread allocates its own array. */
medarr = (float *) malloc(3 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 0; j < ny; j++) {
nxj = nx * j;
for (i = 1; i < nx - 1; i++) {
medarr[0] = data[nxj + i];
medarr[1] = data[nxj + i - 1];
medarr[2] = data[nxj + i + 1];
/* Calculate the median in the fastest way possible */
rowmed[nxj + i] = PyOptMed3(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Fill in the borders of rowmed with the original data values */
#pragma omp parallel for firstprivate(data, rowmed, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
rowmed[nxj] = data[nxj];
rowmed[nxj + nx - 1] = data[nxj + nx - 1];
}
/* Median filter the columns */
#pragma omp parallel firstprivate(rowmed, output, nx, ny) \
private(i, j, nxj, medarr)
{
/* Each thread needs to reallocate a new medarr */
medarr = (float *) malloc(3 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 1; j < ny - 1; j++) {
nxj = nx * j;
for (i = 1; i < nx - 1; i++) {
medarr[0] = rowmed[i + nxj];
medarr[1] = rowmed[i + nxj - nx];
medarr[2] = rowmed[i + nxj + nx];
/* Calculate the median in the fastest way possible */
output[nxj + i] = PyOptMed3(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Clean up rowmed */
free(rowmed);
/* Copy the border pixels from the original data into the output array */
#pragma omp parallel for firstprivate(output, data, nx, nxny) private(i)
for (i = 0; i < nx; i++) {
output[i] = data[i];
output[nxny - nx + i] = data[nxny - nx + i];
}
#pragma omp parallel for firstprivate(output, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
output[nxj] = data[nxj];
output[nxj + nx - 1] = data[nxj + nx - 1];
}
return;
}
/* Calculate the 5x5 separable median filter of an array data that has
* dimensions nx x ny. The results are saved in the output array. The output
* array should already be allocated as we work on it in place.The median
* filter is not calculated for a 2 pixel border around the image. These pixel
* values are copied from the input data. The data should be striped along the
* x direction, such that pixel i,j in the 2D image should have memory location
* data[i + nx *j]. Note that the rows are median filtered first, followed by
* the columns.
*/
void
PySepMedFilt5(float* data, float* output, int nx, int ny)
{
PyDoc_STRVAR(PySepMedFilt5__doc__,
"PySepMedFilt5(data, output, nx, ny) -> void\n\n"
"Calculate the 5x5 separable median filter on an array data with "
"dimensions nx x ny. The results are saved in the output array "
"which should already be allocated as we work on it in place. The "
"median filter is not calculated for a 2 pixel border which is "
"copied from the input data. The data array should be striped in "
"the x direction such that pixel i,j has memory location "
"data[i + nx * j]. Note that the rows are median filtered first, "
"followed by the columns.");
/* Total number of pixels */
int nxny = nx * ny;
/* Output array for the median filter of the rows. We later median filter
* the columns of this array. */
float* rowmed = (float *) malloc(nxny * sizeof(float));
/* Loop indices */
int i, j, nxj;
/* 5 element array to calculate the median and a counter index. Note that
* this array needs to be unique for each thread so it needs to be
* private and we wait to allocate memory until the pragma below. */
float* medarr;
/* Median filter the rows first */
/* Each thread needs to access the data and rowmed so we make them
* firstprivate. We make sure that our algorithm doesn't have multiple
* threads read or write the same piece of memory. */
#pragma omp parallel firstprivate(data, rowmed, nx, ny) \
private(i, j, nxj, medarr)
{
/*Each thread allocates its own array. */
medarr = (float *) malloc(5 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 0; j < ny; j++) {
nxj = nx * j;
for (i = 2; i < nx - 2; i++) {
medarr[0] = data[nxj + i];
medarr[1] = data[nxj + i - 1];
medarr[2] = data[nxj + i + 1];
medarr[3] = data[nxj + i - 2];
medarr[4] = data[nxj + i + 2];
/* Calculate the median in the fastest way possible */
rowmed[nxj + i] = PyOptMed5(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Fill in the borders of rowmed with the original data values */
#pragma omp parallel for firstprivate(rowmed, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
rowmed[nxj] = data[nxj];
rowmed[nxj + 1] = data[nxj + 1];
rowmed[nxj + nx - 1] = data[nxj + nx - 1];
rowmed[nxj + nx - 2] = data[nxj + nx - 2];
}
/* Median filter the columns */
#pragma omp parallel firstprivate(rowmed, output, nx, ny) \
private(i, j, nxj, medarr)
{
/* Each thread needs to reallocate a new medarr */
medarr = (float *) malloc(5 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 2; j < ny - 2; j++) {
nxj = nx * j;
for (i = 2; i < nx - 2; i++) {
medarr[0] = rowmed[i + nxj];
medarr[1] = rowmed[i + nxj - nx];
medarr[2] = rowmed[i + nxj + nx];
medarr[3] = rowmed[i + nxj + nx + nx];
medarr[4] = rowmed[i + nxj - nx - nx];
/* Calculate the median in the fastest way possible */
output[nxj + i] = PyOptMed5(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Clean up rowmed */
free(rowmed);
/* Copy the border pixels from the original data into the output array */
#pragma omp parallel for firstprivate(output, data, nx, nxny) private(i)
for (i = 0; i < nx; i++) {
output[i] = data[i];
output[i + nx] = data[i + nx];
output[nxny - nx + i] = data[nxny - nx + i];
output[nxny - nx - nx + i] = data[nxny - nx - nx + i];
}
#pragma omp parallel for firstprivate(output, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
output[nxj] = data[nxj];
output[nxj + 1] = data[nxj + 1];
output[nxj + nx - 1] = data[nxj + nx - 1];
output[nxj + nx - 2] = data[nxj + nx - 2];
}
return;
}
/* Calculate the 7x7 separable median filter of an array data that has
* dimensions nx x ny. The results are saved in the output array. The output
* array should already be allocated as we work on it in place. The median
* filter is not calculated for a 3 pixel border around the image. These pixel
* values are copied from the input data. The data should be striped along the
* x direction, such that pixel i,j in the 2D image should have memory location
* data[i + nx *j]. Note that the rows are median filtered first, followed by
* the columns.
*/
void
PySepMedFilt7(float* data, float* output, int nx, int ny)
{
PyDoc_STRVAR(PySepMedFilt7__doc__,
"PySepMedFilt7(data, output, nx, ny) -> void\n\n"
"Calculate the 7x7 separable median filter on an array data with "
"dimensions nx x ny. The results are saved in the output array "
"which should already be allocated as we work on it in place. The "
"median filter is not calculated for a 3 pixel border which is "
"copied from the input data. The data array should be striped in "
"the x direction such that pixel i,j has memory location "
"data[i + nx * j]. Note that the rows are median filtered first, "
"followed by the columns.");
/* Total number of pixels */
int nxny = nx * ny;
/* Output array for the median filter of the rows. We later median filter
* the columns of this array. */
float* rowmed = (float *) malloc(nxny * sizeof(float));
/* Loop indices */
int i, j, nxj;
/* 7 element array to calculate the median and a counter index. Note that
* this array needs to be unique for each thread so it needs to be
* private and we wait to allocate memory until the pragma below. */
float* medarr;
/* Median filter the rows first */
/* Each thread needs to access the data and rowmed so we make them
* firstprivate. We make sure that our algorithm doesn't have multiple
* threads read or write the same piece of memory. */
#pragma omp parallel firstprivate(data, rowmed, nx, ny) \
private(i, j, nxj, medarr)
{
/*Each thread allocates its own array. */
medarr = (float *) malloc(7 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 0; j < ny; j++) {
nxj = nx * j;
for (i = 3; i < nx - 3; i++) {
medarr[0] = data[nxj + i];
medarr[1] = data[nxj + i - 1];
medarr[2] = data[nxj + i + 1];
medarr[3] = data[nxj + i - 2];
medarr[4] = data[nxj + i + 2];
medarr[5] = data[nxj + i - 3];
medarr[6] = data[nxj + i + 3];
/* Calculate the median in the fastest way possible */
rowmed[nxj + i] = PyOptMed7(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Fill in the borders of rowmed with the original data values */
#pragma omp parallel for firstprivate(rowmed, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
rowmed[nxj] = data[nxj];
rowmed[nxj + 1] = data[nxj + 1];
rowmed[nxj + 2] = data[nxj + 2];
rowmed[nxj + nx - 1] = data[nxj + nx - 1];
rowmed[nxj + nx - 2] = data[nxj + nx - 2];
rowmed[nxj + nx - 3] = data[nxj + nx - 3];
}
/* Median filter the columns */
#pragma omp parallel firstprivate(rowmed, output, nx, ny) \
private(i, j, nxj, medarr)
{
/* Each thread needs to reallocate a new medarr */
medarr = (float *) malloc(7 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 3; j < ny - 3; j++) {
nxj = nx * j;
for (i = 3; i < nx - 3; i++) {
medarr[0] = rowmed[i + nxj - nx];
medarr[1] = rowmed[i + nxj + nx];
medarr[2] = rowmed[i + nxj + nx + nx];
medarr[3] = rowmed[i + nxj - nx - nx];
medarr[4] = rowmed[i + nxj];
medarr[5] = rowmed[i + nxj + nx + nx + nx];
medarr[6] = rowmed[i + nxj - nx - nx - nx];
/* Calculate the median in the fastest way possible */
output[nxj + i] = PyOptMed7(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Clean up rowmed */
free(rowmed);
/* Copy the border pixels from the original data into the output array */
#pragma omp parallel for firstprivate(output, data, nx, nxny) private(i)
for (i = 0; i < nx; i++) {
output[i] = data[i];
output[i + nx] = data[i + nx];
output[i + nx + nx] = data[i + nx + nx];
output[nxny - nx + i] = data[nxny - nx + i];
output[nxny - nx - nx + i] = data[nxny - nx - nx + i];
output[nxny - nx - nx - nx + i] = data[nxny - nx - nx - nx + i];
}
#pragma omp parallel for firstprivate(output, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
output[nxj] = data[nxj];
output[nxj + 1] = data[nxj + 1];
output[nxj + 2] = data[nxj + 2];
output[nxj + nx - 1] = data[nxj + nx - 1];
output[nxj + nx - 2] = data[nxj + nx - 2];
output[nxj + nx - 3] = data[nxj + nx - 3];
}
return;
}
/* Calculate the 9x9 separable median filter of an array data that has
* dimensions nx x ny. The results are saved in the output array. The output
* array should already be allocated as we work on it in place. The median
* filter is not calculated for a 4 pixel border around the image. These pixel
* values are copied from the input data. The data should be striped along the
* x direction, such that pixel i,j in the 2D image should have memory location
* data[i + nx *j]. Note that the rows are median filtered first, followed by
* the columns.
*/
void
PySepMedFilt9(float* data, float* output, int nx, int ny)
{
PyDoc_STRVAR(PySepMedFilt9__doc__,
"PySepMedFilt9(data, output, nx, ny) -> void\n\n"
"Calculate the 9x9 separable median filter on an array data with "
"dimensions nx x ny. The results are saved in the output array "
"which should already be allocated as we work on it in place. The "
"median filter is not calculated for a 4 pixel border which is "
"copied from the input data. The data array should be striped in "
"the x direction such that pixel i,j has memory location "
"data[i + nx * j]. Note that the rows are median filtered first, "
"followed by the columns.");
/* Total number of pixels */
int nxny = nx * ny;
/* Output array for the median filter of the rows. We later median filter
* the columns of this array. */
float* rowmed = (float *) malloc(nxny * sizeof(float));
/* Loop indices */
int i, j, nxj;
/* 9 element array to calculate the median and a counter index. Note that
* this array needs to be unique for each thread so it needs to be
* private and we wait to allocate memory until the pragma below. */
float* medarr;
/* Median filter the rows first */
/* Each thread needs to access the data and rowmed so we make them
* firstprivate. We make sure that our algorithm doesn't have multiple
* threads read or write the same piece of memory. */
#pragma omp parallel firstprivate(data, rowmed, nx, ny) \
private(i, j, nxj, medarr)
{
/*Each thread allocates its own array. */
medarr = (float *) malloc(9 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 0; j < ny; j++) {
nxj = nx * j;
for (i = 4; i < nx - 4; i++) {
medarr[0] = data[nxj + i];
medarr[1] = data[nxj + i - 1];
medarr[2] = data[nxj + i + 1];
medarr[3] = data[nxj + i - 2];
medarr[4] = data[nxj + i + 2];
medarr[5] = data[nxj + i - 3];
medarr[6] = data[nxj + i + 3];
medarr[7] = data[nxj + i - 4];
medarr[8] = data[nxj + i + 4];
/* Calculate the median in the fastest way possible */
rowmed[nxj + i] = PyOptMed9(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Fill in the borders of rowmed with the original data values */
#pragma omp parallel for firstprivate(rowmed, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
rowmed[nxj] = data[nxj];
rowmed[nxj + 1] = data[nxj + 1];
rowmed[nxj + 2] = data[nxj + 2];
rowmed[nxj + 3] = data[nxj + 3];
rowmed[nxj + nx - 1] = data[nxj + nx - 1];
rowmed[nxj + nx - 2] = data[nxj + nx - 2];
rowmed[nxj + nx - 3] = data[nxj + nx - 3];
rowmed[nxj + nx - 4] = data[nxj + nx - 4];
}
/* Median filter the columns */
#pragma omp parallel firstprivate(rowmed, output, nx, ny) \
private(i, j, nxj, medarr)
{
/* Each thread needs to reallocate a new medarr */
medarr = (float *) malloc(9 * sizeof(float));
/* For each pixel excluding the border */
#pragma omp for nowait
for (j = 4; j < ny - 4; j++) {
nxj = nx * j;
for (i = 4; i < nx - 4; i++) {
medarr[0] = rowmed[i + nxj];
medarr[1] = rowmed[i + nxj - nx];
medarr[2] = rowmed[i + nxj + nx];
medarr[3] = rowmed[i + nxj + nx + nx];
medarr[4] = rowmed[i + nxj - nx - nx];
medarr[5] = rowmed[i + nxj + nx + nx + nx];
medarr[6] = rowmed[i + nxj - nx - nx - nx];
medarr[7] = rowmed[i + nxj + nx + nx + nx + nx];
medarr[8] = rowmed[i + nxj - nx - nx - nx - nx];
/* Calculate the median in the fastest way possible */
output[nxj + i] = PyOptMed9(medarr);
}
}
/* Each thread needs to free its own medarr */
free(medarr);
}
/* Clean up rowmed */
free(rowmed);
/* Copy the border pixels from the original data into the output array */
#pragma omp parallel for firstprivate(output, data, nx, nxny) private(i)
for (i = 0; i < nx; i++) {
output[i] = data[i];
output[i + nx] = data[i + nx];
output[i + nx + nx] = data[i + nx + nx];
output[i + nx + nx + nx] = data[i + nx + nx + nx];
output[nxny - nx + i] = data[nxny - nx + i];
output[nxny - nx - nx + i] = data[nxny - nx - nx + i];
output[nxny - nx - nx - nx + i] = data[nxny - nx - nx - nx + i];
output[nxny - nx - nx - nx - nx + i] = data[nxny - nx - nx - nx - nx
+ i];
}
#pragma omp parallel for firstprivate(output, data, nx, ny) private(j, nxj)
for (j = 0; j < ny; j++) {
nxj = nx * j;
output[nxj] = data[nxj];
output[nxj + 1] = data[nxj + 1];
output[nxj + 2] = data[nxj + 2];
output[nxj + 3] = data[nxj + 3];
output[nxj + nx - 1] = data[nxj + nx - 1];
output[nxj + nx - 2] = data[nxj + nx - 2];
output[nxj + nx - 3] = data[nxj + nx - 3];
output[nxj + nx - 4] = data[nxj + nx - 4];
}
return;
}
|
mx_util.c | #include <inttypes.h>
#include <omp.h>
#include <string.h>
#include "matrix.h"
#include "mx_util.h"
mxArray *
mx_pad_boundary(const mxArray *mxx)
{
const size_t *sz = (const size_t *)mxGetDimensions(mxx);
const size_t szp[3] = {sz[0]+2, sz[1]+2, sz[2]+2};
mxArray *mxxp = mxCreateNumericArray(3, szp, mxGetClassID(mxx), mxREAL);
const size_t nx = sz[0];
const size_t ny = sz[1];
const size_t nz = sz[2];
const size_t nxny = nx*ny;
const size_t nxp = szp[0];
const size_t nyp = szp[1];
const size_t nxnyp = nxp*nyp;
if (mxIsSingle(mxx)) {
float *x = (float *)mxGetData(mxx);
float *xp = (float *)mxGetData(mxxp);
#pragma omp parallel for schedule(static) collapse(3) \
if(nxny*nz > 32*32*32)
for (size_t k = 0; k < nz; ++k) {
for (size_t j = 0; j < ny; ++j) {
for (size_t i = 0; i < nx; ++i) {
xp[(i+1) + nxp*(j+1) + nxnyp*(k+1)] = x[i + nx*j + nxny*k];
}
}
}
} else if (mxIsDouble(mxx)) {
double *x = (double *)mxGetData(mxx);
double *xp = (double *)mxGetData(mxxp);
#pragma omp parallel for schedule(static) collapse(3) \
if(nxny*nz > 32*32*32)
for (size_t k = 0; k < nz; ++k) {
for (size_t j = 0; j < ny; ++j) {
for (size_t i = 0; i < nx; ++i) {
xp[(i+1) + nxp*(j+1) + nxnyp*(k+1)] = x[i + nx*j + nxny*k];
}
}
}
} else if (mxIsLogical(mxx)) {
uint8_t *x = (uint8_t *)mxGetData(mxx);
uint8_t *xp = (uint8_t *)mxGetData(mxxp);
#pragma omp parallel for schedule(static) collapse(3) \
if(nxny*nz > 32*32*32)
for (size_t k = 0; k < nz; ++k) {
for (size_t j = 0; j < ny; ++j) {
for (size_t i = 0; i < nx; ++i) {
xp[(i+1) + nxp*(j+1) + nxnyp*(k+1)] = x[i + nx*j + nxny*k];
}
}
}
}
return mxxp;
}
mxArray *
mx_unpad_boundary(const mxArray *mxxp)
{
const size_t *szp = (const size_t *)mxGetDimensions(mxxp);
const size_t sz[3] = {szp[0]-2, szp[1]-2, szp[2]-2};
mxArray *mxx = mxCreateNumericArray(3, sz, mxGetClassID(mxxp), mxREAL);
const size_t nx = sz[0];
const size_t ny = sz[1];
const size_t nz = sz[2];
const size_t nxny = nx*ny;
const size_t nxp = szp[0];
const size_t nyp = szp[1];
const size_t nxnyp = nxp*nyp;
if (mxIsSingle(mxxp)) {
float *x = (float *)mxGetData(mxx);
float *xp = (float *)mxGetData(mxxp);
#pragma omp parallel for schedule(static) collapse(3) \
if(nxny*nz > 32*32*32)
for (size_t k = 0; k < nz; ++k) {
for (size_t j = 0; j < ny; ++j) {
for (size_t i = 0; i < nx; ++i) {
x[i + nx*j + nxny*k] = xp[(i+1) + nxp*(j+1) + nxnyp*(k+1)];
}
}
}
} else if (mxIsDouble(mxxp)) {
double *x = (double *)mxGetData(mxx);
double *xp = (double *)mxGetData(mxxp);
#pragma omp parallel for schedule(static) collapse(3) \
if(nxny*nz > 32*32*32)
for (size_t k = 0; k < nz; ++k) {
for (size_t j = 0; j < ny; ++j) {
for (size_t i = 0; i < nx; ++i) {
x[i + nx*j + nxny*k] = xp[(i+1) + nxp*(j+1) + nxnyp*(k+1)];
}
}
}
} else if (mxIsLogical(mxxp)) {
uint8_t *x = (uint8_t *)mxGetData(mxx);
uint8_t *xp = (uint8_t *)mxGetData(mxxp);
#pragma omp parallel for schedule(static) collapse(3) \
if(nxny*nz > 32*32*32)
for (size_t k = 0; k < nz; ++k) {
for (size_t j = 0; j < ny; ++j) {
for (size_t i = 0; i < nx; ++i) {
x[i + nx*j + nxny*k] = xp[(i+1) + nxp*(j+1) + nxnyp*(k+1)];
}
}
}
}
return mxx;
}
void
mx_zero(mxArray *mxx)
{
const size_t n = mxGetNumberOfElements(mxx);
const size_t b = mxGetElementSize(mxx);
memset(mxGetData(mxx), 0, n*b);
return;
}
|
GB_binop__bxnor_uint32.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__bxnor_uint32
// A.*B function (eWiseMult): GB_AemultB__bxnor_uint32
// A*D function (colscale): GB_AxD__bxnor_uint32
// D*A function (rowscale): GB_DxB__bxnor_uint32
// C+=B function (dense accum): GB_Cdense_accumB__bxnor_uint32
// C+=b function (dense accum): GB_Cdense_accumb__bxnor_uint32
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__bxnor_uint32
// C=scalar+B GB_bind1st__bxnor_uint32
// C=scalar+B' GB_bind1st_tran__bxnor_uint32
// C=A+scalar GB_bind2nd__bxnor_uint32
// C=A'+scalar GB_bind2nd_tran__bxnor_uint32
// C type: uint32_t
// A type: uint32_t
// B,b type: uint32_t
// BinaryOp: cij = ~((aij) ^ (bij))
#define GB_ATYPE \
uint32_t
#define GB_BTYPE \
uint32_t
#define GB_CTYPE \
uint32_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) \
uint32_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint32_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint32_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_BXNOR || GxB_NO_UINT32 || GxB_NO_BXNOR_UINT32)
//------------------------------------------------------------------------------
// 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__bxnor_uint32
(
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__bxnor_uint32
(
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__bxnor_uint32
(
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 uint32_t
uint32_t bwork = (*((uint32_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__bxnor_uint32
(
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
uint32_t *GB_RESTRICT Cx = (uint32_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__bxnor_uint32
(
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
uint32_t *GB_RESTRICT Cx = (uint32_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__bxnor_uint32
(
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__bxnor_uint32
(
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__bxnor_uint32
(
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
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t x = (*((uint32_t *) x_input)) ;
uint32_t *Bx = (uint32_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 ;
uint32_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__bxnor_uint32
(
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 ;
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t *Ax = (uint32_t *) Ax_input ;
uint32_t y = (*((uint32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint32_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) \
{ \
uint32_t aij = Ax [pA] ; \
Cx [pC] = ~((x) ^ (aij)) ; \
}
GrB_Info GB_bind1st_tran__bxnor_uint32
(
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 \
uint32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t x = (*((const uint32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint32_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) \
{ \
uint32_t aij = Ax [pA] ; \
Cx [pC] = ~((aij) ^ (y)) ; \
}
GrB_Info GB_bind2nd_tran__bxnor_uint32
(
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
uint32_t y = (*((const uint32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
xthi_nested_omp.c | /* This nested OpenMP version is adapted by Helen He
from the hybrid MPI/OpenMP Cray Source code "xthi.c" available at:
http://docs.cray.com/books/S-2496-4101/html-S-2496-4101/cnlexamples.html
*/
#define _GNU_SOURCE
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <sched.h>
#include <omp.h>
/* Borrowed from util-linux-2.13-pre7/schedutils/taskset.c */
static char *cpuset_to_cstr(cpu_set_t *mask, char *str)
{
char *ptr = str;
int i, j, entry_made = 0;
for (i = 0; i < CPU_SETSIZE; i++) {
if (CPU_ISSET(i, mask)) {
int run = 0;
entry_made = 1;
for (j = i + 1; j < CPU_SETSIZE; j++) {
if (CPU_ISSET(j, mask)) run++;
else break;
}
if (!run)
sprintf(ptr, "%d,", i);
else if (run == 1) {
sprintf(ptr, "%d,%d,", i, i + 1);
i++;
} else {
sprintf(ptr, "%d-%d,", i, i + run);
i += run;
}
while (*ptr != 0) ptr++;
}
}
ptr -= entry_made;
*ptr = 0;
return(str);
}
int main(int argc, char *argv[])
{
int thread1, thread2;
cpu_set_t coremask1, coremask2;
char clbuf1[7 * CPU_SETSIZE], hnbuf1[64];
char clbuf2[7 * CPU_SETSIZE], hnbuf2[64];
memset(clbuf1, 0, sizeof(clbuf1));
memset(clbuf2, 0, sizeof(clbuf2));
memset(hnbuf1, 0, sizeof(hnbuf1));
memset(hnbuf2, 0, sizeof(hnbuf2));
(void)gethostname(hnbuf1, sizeof(hnbuf1));
(void)gethostname(hnbuf2, sizeof(hnbuf2));
#pragma omp parallel private(thread1, coremask1, clbuf1)
{
thread1 = omp_get_thread_num();
(void)sched_getaffinity(0, sizeof(coremask1), &coremask1);
cpuset_to_cstr(&coremask1, clbuf1);
#pragma omp barrier
printf("Hello from level 1: thread level 1= %d, on %s. (core affinity = %s)\n",
thread1, hnbuf1, clbuf1);
#pragma omp parallel private(thread2, coremask2, clbuf2)
{
thread2 = omp_get_thread_num();
(void)sched_getaffinity(0, sizeof(coremask2), &coremask2);
cpuset_to_cstr(&coremask2, clbuf2);
#pragma omp barrier
printf("Hello from level 2: thread level 1= %d, thread level 2= %d, on %s. (core affinity = %s)\n",
thread1, thread2, hnbuf2, clbuf2);
}
}
return(0);
}
|
irbuilder_nested_openmp_parallel_empty.c | // NOTE: Assertions have been autogenerated by utils/update_cc_test_checks.py
// RUN: %clang_cc1 -verify -fopenmp -fopenmp-enable-irbuilder -x c++ -emit-llvm %s -triple x86_64-unknown-unknown -fexceptions -fcxx-exceptions -o - | FileCheck %s --check-prefixes=ALL,IRBUILDER
// %clang_cc1 -fopenmp -fopenmp-enable-irbuilder -x c++ -std=c++11 -triple x86_64-unknown-unknown -fexceptions -fcxx-exceptions -emit-pch -o /tmp/t1 %s
// %clang_cc1 -fopenmp -fopenmp-enable-irbuilder -x c++ -triple x86_64-unknown-unknown -fexceptions -fcxx-exceptions -debug-info-kind=limited -std=c++11 -include-pch /tmp/t1 -verify %s -emit-llvm -o - | FileCheck --check-prefixes=ALL-DEBUG,IRBUILDER-DEBUG %s
// expected-no-diagnostics
// TODO: Teach the update script to check new functions too.
#ifndef HEADER
#define HEADER
// ALL-LABEL: @_Z17nested_parallel_0v(
// ALL-NEXT: entry:
// ALL-NEXT: [[OMP_GLOBAL_THREAD_NUM:%.*]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @[[GLOB1:[0-9]+]])
// ALL-NEXT: br label [[OMP_PARALLEL:%.*]]
// ALL: omp_parallel:
// ALL-NEXT: call void (%struct.ident_t*, i32, void (i32*, i32*, ...)*, ...) @__kmpc_fork_call(%struct.ident_t* @[[GLOB1]], i32 0, void (i32*, i32*, ...)* bitcast (void (i32*, i32*)* @_Z17nested_parallel_0v..omp_par.1 to void (i32*, i32*, ...)*))
// ALL-NEXT: br label [[OMP_PAR_OUTLINED_EXIT12:%.*]]
// ALL: omp.par.outlined.exit12:
// ALL-NEXT: br label [[OMP_PAR_EXIT_SPLIT:%.*]]
// ALL: omp.par.exit.split:
// ALL-NEXT: ret void
//
void nested_parallel_0(void) {
#pragma omp parallel
{
#pragma omp parallel
{
}
}
}
// ALL-LABEL: @_Z17nested_parallel_1Pfid(
// ALL-NEXT: entry:
// ALL-NEXT: [[STRUCTARG14:%.*]] = alloca { i32*, double*, float** }, align 8
// ALL-NEXT: [[R_ADDR:%.*]] = alloca float*, align 8
// ALL-NEXT: [[A_ADDR:%.*]] = alloca i32, align 4
// ALL-NEXT: [[B_ADDR:%.*]] = alloca double, align 8
// ALL-NEXT: store float* [[R:%.*]], float** [[R_ADDR]], align 8
// ALL-NEXT: store i32 [[A:%.*]], i32* [[A_ADDR]], align 4
// ALL-NEXT: store double [[B:%.*]], double* [[B_ADDR]], align 8
// ALL-NEXT: [[OMP_GLOBAL_THREAD_NUM:%.*]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @[[GLOB1]])
// ALL-NEXT: br label [[OMP_PARALLEL:%.*]]
// ALL: omp_parallel:
// ALL-NEXT: [[GEP_A_ADDR15:%.*]] = getelementptr { i32*, double*, float** }, { i32*, double*, float** }* [[STRUCTARG14]], i32 0, i32 0
// ALL-NEXT: store i32* [[A_ADDR]], i32** [[GEP_A_ADDR15]], align 8
// ALL-NEXT: [[GEP_B_ADDR16:%.*]] = getelementptr { i32*, double*, float** }, { i32*, double*, float** }* [[STRUCTARG14]], i32 0, i32 1
// ALL-NEXT: store double* [[B_ADDR]], double** [[GEP_B_ADDR16]], align 8
// ALL-NEXT: [[GEP_R_ADDR17:%.*]] = getelementptr { i32*, double*, float** }, { i32*, double*, float** }* [[STRUCTARG14]], i32 0, i32 2
// ALL-NEXT: store float** [[R_ADDR]], float*** [[GEP_R_ADDR17]], align 8
// ALL-NEXT: call void (%struct.ident_t*, i32, void (i32*, i32*, ...)*, ...) @__kmpc_fork_call(%struct.ident_t* @[[GLOB1]], i32 1, void (i32*, i32*, ...)* bitcast (void (i32*, i32*, { i32*, double*, float** }*)* @_Z17nested_parallel_1Pfid..omp_par.2 to void (i32*, i32*, ...)*), { i32*, double*, float** }* [[STRUCTARG14]])
// ALL-NEXT: br label [[OMP_PAR_OUTLINED_EXIT13:%.*]]
// ALL: omp.par.outlined.exit13:
// ALL-NEXT: br label [[OMP_PAR_EXIT_SPLIT:%.*]]
// ALL: omp.par.exit.split:
// ALL-NEXT: ret void
//
void nested_parallel_1(float *r, int a, double b) {
#pragma omp parallel
{
#pragma omp parallel
{
*r = a + b;
}
}
}
// ALL-LABEL: @_Z17nested_parallel_2Pfid(
// ALL-NEXT: entry:
// ALL-NEXT: [[STRUCTARG:%.*]] = alloca { i32*, double*, float** }, align 8
// ALL-NEXT: [[R_ADDR:%.*]] = alloca float*, align 8
// ALL-NEXT: [[A_ADDR:%.*]] = alloca i32, align 4
// ALL-NEXT: [[B_ADDR:%.*]] = alloca double, align 8
// ALL-NEXT: store float* [[R:%.*]], float** [[R_ADDR]], align 8
// ALL-NEXT: store i32 [[A:%.*]], i32* [[A_ADDR]], align 4
// ALL-NEXT: store double [[B:%.*]], double* [[B_ADDR]], align 8
// ALL-NEXT: [[OMP_GLOBAL_THREAD_NUM:%.*]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @[[GLOB1]])
// ALL-NEXT: br label [[OMP_PARALLEL:%.*]]
// ALL: omp_parallel:
// ALL-NEXT: [[GEP_A_ADDR:%.*]] = getelementptr { i32*, double*, float** }, { i32*, double*, float** }* [[STRUCTARG]], i32 0, i32 0
// ALL-NEXT: store i32* [[A_ADDR]], i32** [[GEP_A_ADDR]], align 8
// ALL-NEXT: [[GEP_B_ADDR:%.*]] = getelementptr { i32*, double*, float** }, { i32*, double*, float** }* [[STRUCTARG]], i32 0, i32 1
// ALL-NEXT: store double* [[B_ADDR]], double** [[GEP_B_ADDR]], align 8
// ALL-NEXT: [[GEP_R_ADDR:%.*]] = getelementptr { i32*, double*, float** }, { i32*, double*, float** }* [[STRUCTARG]], i32 0, i32 2
// ALL-NEXT: store float** [[R_ADDR]], float*** [[GEP_R_ADDR]], align 8
// ALL-NEXT: call void (%struct.ident_t*, i32, void (i32*, i32*, ...)*, ...) @__kmpc_fork_call(%struct.ident_t* @[[GLOB1]], i32 1, void (i32*, i32*, ...)* bitcast (void (i32*, i32*, { i32*, double*, float** }*)* @_Z17nested_parallel_2Pfid..omp_par.5 to void (i32*, i32*, ...)*), { i32*, double*, float** }* [[STRUCTARG]])
// ALL-NEXT: br label [[OMP_PAR_OUTLINED_EXIT55:%.*]]
// ALL: omp.par.outlined.exit55:
// ALL-NEXT: br label [[OMP_PAR_EXIT_SPLIT:%.*]]
// ALL: omp.par.exit.split:
// ALL-NEXT: [[TMP0:%.*]] = load i32, i32* [[A_ADDR]], align 4
// ALL-NEXT: [[CONV56:%.*]] = sitofp i32 [[TMP0]] to double
// ALL-NEXT: [[TMP1:%.*]] = load double, double* [[B_ADDR]], align 8
// ALL-NEXT: [[ADD57:%.*]] = fadd double [[CONV56]], [[TMP1]]
// ALL-NEXT: [[CONV58:%.*]] = fptrunc double [[ADD57]] to float
// ALL-NEXT: [[TMP2:%.*]] = load float*, float** [[R_ADDR]], align 8
// ALL-NEXT: store float [[CONV58]], float* [[TMP2]], align 4
// ALL-NEXT: ret void
//
void nested_parallel_2(float *r, int a, double b) {
#pragma omp parallel
{
*r = a + b;
#pragma omp parallel
{
*r = a + b;
#pragma omp parallel
{
*r = a + b;
}
*r = a + b;
#pragma omp parallel
{
*r = a + b;
}
*r = a + b;
}
*r = a + b;
}
*r = a + b;
}
#endif
|
lcs.c | /*
Tempo Sequencial:
Length of Longest Common Substring is 14
real 0m3,049s
user 0m2,584s
sys 0m0,459s
Length of Longest Common Substring is 14
real 0m3,047s
user 0m2,704s
sys 0m0,336s
Length of Longest Common Substring is 14
real 0m3,046s
user 0m2,618s
sys 0m0,423s
Length of Longest Common Substring is 14
real 0m3,016s
user 0m2,602s
sys 0m0,409s
Length of Longest Common Substring is 14
real 0m3,012s
user 0m2,577s
sys 0m0,429s
Tempo paralelo
Length of Longest Common Substring is 14
real 0m1,598s
user 0m2,706s
sys 0m0,417s
Length of Longest Common Substring is 14
real 0m1,647s
user 0m2,736s
sys 0m0,469s
Length of Longest Common Substring is 14
real 0m1,631s
user 0m2,772s
sys 0m0,413s
Length of Longest Common Substring is 14
real 0m1,698s
user 0m2,809s
sys 0m0,463s
Length of Longest Common Substring is 14
real 0m1,652s
user 0m2,792s
sys 0m0,425s
Speedup ~= 1.9080100125156445
*/
/* Dynamic Programming solution to find length of the
longest common substring
Adapted from http://www.geeksforgeeks.org/longest-common-substring/
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <omp.h>
// Read input files
char *readFile(char *filename, int *size)
{
char *buffer = NULL;
*size = 0;
/* Open your_file in read-only mode */
FILE *fp = fopen(filename, "r");
/* Get the buffer size */
fseek(fp, 0, SEEK_END); /* Go to end of file */
*size = ftell(fp); /* How many bytes did we pass ? */
/* Set position of stream to the beginning */
rewind(fp);
/* Allocate the buffer (no need to initialize it with calloc) */
buffer = malloc((*size + 1) * sizeof(*buffer)); /* size + 1 byte for the \0 */
/* Read the file into the buffer */
int err = fread(buffer, *size, 1, fp); /* Read 1 chunk of size bytes from fp into buffer */
/* NULL-terminate the buffer */
buffer[*size] = '\0';
/* Print it ! */
// printf("%s\n", buffer);
return (buffer);
}
// A utility function to find maximum of two integers
int max(int a, int b)
{
return (a > b) ? a : b;
}
/* Returns length of longest common substring of X[0..m-1]
and Y[0..n-1] */
int LCSubStr(char *x, char *y, int m, int n)
{
// Create a table to store lengths of longest common suffixes of
// substrings. Notethat LCSuff[i][j] contains length of longest
// common suffix of X[0..i-1] and Y[0..j-1]. The first row and
// first column entries have no logical meaning, they are used only
// for simplicity of program
int **LCSuff = (int **)malloc((m + 1) * sizeof(int *));
for (int i = 0; i < m + 1; i++)
LCSuff[i] = (int *)malloc((n + 1) * sizeof(int));
int result = 0; // To store length of the longest common substring
/* Following steps build LCSuff[m+1][n+1] in bottom up fashion. */
#pragma omp parallel for collapse(2) reduction(max:result) schedule(guided)
for (int i = 0; i <= m; i++)
{
for (int j = 0; j <= n; j++)
{
if (i == 0 || j == 0)
LCSuff[i][j] = 0;
else if (x[i - 1] == y[j - 1])
{
LCSuff[i][j] = LCSuff[i - 1][j - 1] + 1;
result = max(result, LCSuff[i][j]);
}
else
LCSuff[i][j] = 0;
}
}
return result;
}
/* Driver program to test above function */
int main()
{
int m, n;
char *x = readFile("seqA.txt", &m);
char *y = readFile("seqB.txt", &n);
printf("\nLength of Longest Common Substring is %d\n", LCSubStr(x, y, m, n));
return 0;
} |
splayTable.c | /*
Copyright 2007, 2008 Daniel Zerbino (zerbino@ebi.ac.uk)
This file is part of Velvet.
Velvet is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
Velvet 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with Velvet; if not, write to the Free Software
Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
*/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <time.h>
#include <sys/time.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "globals.h"
#include "readSet.h"
#include "splay.h"
#include "tightString.h"
#include "utility.h"
#include "kmer.h"
#include "kmerOccurenceTable.h"
#include "recycleBin.h"
#include "binarySequences.h"
static RecycleBin * maskMemory = NULL;
static Mask *allocateMask()
{
if (maskMemory == NULL)
maskMemory = newRecycleBin(sizeof(Mask), 10000);
return (Mask *) allocatePointer(maskMemory);
}
static Mask * newMask(Coordinate position)
{
Mask * mask = allocateMask();
mask->start = position;
mask->finish = position;
mask->next = NULL;
return mask;
}
// DEBUG
boolean debug = false;
#define HASH_BUCKETS_NB 16777216
#ifdef _OPENMP
#define NB_PUSH 32
#define BUFFER_SIZE 4096
static StringBuffer **annotationBuffer = NULL;
static StringBuffer **annotationBufferW = NULL;
static int *nbPush = NULL;
static boolean producing = 1;
static void initAnnotationBuffers(void)
{
int n;
int i;
n = omp_get_max_threads();
annotationBuffer = callocOrExit(n, StringBuffer*);
annotationBufferW = callocOrExit(n, StringBuffer*);
nbPush = callocOrExit(n, int);
for (i = 0; i < n; i++)
{
annotationBuffer[i] = newStringBuffer(BUFFER_SIZE);
annotationBufferW[i] = newStringBuffer(BUFFER_SIZE);
}
}
static void destroyAnnotationBuffers(void)
{
int n;
int i;
n = omp_get_max_threads();
for (i = 0; i < n; i++)
{
destroyStringBuffer(annotationBuffer[i], 1);
destroyStringBuffer(annotationBufferW[i], 1);
}
free(annotationBuffer);
free(annotationBufferW);
free(nbPush);
annotationBuffer = NULL;
annotationBufferW = NULL;
nbPush = NULL;
}
static void pushBufferCommit(int thread)
{
StringBuffer *tmp;
char *s;
s = annotationBufferW[thread]->str;
do
{
#pragma omp flush(s)
}
while (*s);
tmp = annotationBufferW[thread];
annotationBufferW[thread] = annotationBuffer[thread];
annotationBuffer[thread] = tmp;
tmp = annotationBufferW[thread];
#pragma omp flush(tmp)
}
static void pushBuffer(int thread)
{
if (++nbPush[thread] == NB_PUSH)
{
nbPush[thread] = 0;
pushBufferCommit(thread);
}
}
static void writeBuffers(FILE *outFile, int nbThreads)
{
int i;
for (i = 0; i < nbThreads; i++)
{
StringBuffer *b;
char *s;
b = annotationBufferW[i];
#pragma omp flush(b)
s = b->str;
#pragma omp flush(s)
if (*s)
{
velvetFprintf(outFile, "%s", annotationBufferW[i]->str);
resetStringBuffer(annotationBufferW[i]);
}
}
}
static void bufferWritter(FILE *outFile)
{
int n;
n = omp_get_max_threads();
#pragma omp flush(producing)
while (producing)
{
writeBuffers(outFile, n);
#pragma omp flush(producing)
}
writeBuffers(outFile, n);
}
static void appendLine(char *line, int thread)
{
appendStringBuffer(annotationBuffer[thread], line);
}
#else
#define BUFFER_SIZE 1024
StringBuffer *annotationBuffer = NULL;
static void appendLine(char *line, int thread)
{
appendStringBuffer(annotationBuffer, line);
}
#endif
struct splayTable_st {
SplayTree **table;
#ifdef _OPENMP
omp_lock_t *tableLocks;
#endif
KmerOccurenceTable *kmerOccurenceTable;
int WORDLENGTH;
boolean double_strand;
};
SplayTable *newSplayTable(int WORDLENGTH, boolean double_strand)
{
SplayTable *splayTable = mallocOrExit(1, SplayTable);
splayTable->WORDLENGTH = WORDLENGTH;
splayTable->table = callocOrExit(HASH_BUCKETS_NB, SplayTree *);
splayTable->kmerOccurenceTable = NULL;
splayTable->double_strand = double_strand;
#ifdef _OPENMP
splayTable->tableLocks = mallocOrExit(HASH_BUCKETS_NB, omp_lock_t);
int i;
#pragma omp parallel for
for (i = 0; i < HASH_BUCKETS_NB; i++)
omp_init_lock(splayTable->tableLocks + i);
initSplayTreeMemory();
#endif
return splayTable;
}
void destroySplayTable(SplayTable * splayTable)
{
velvetLog("Destroying splay table\n");
destroyAllSplayTrees();
free(splayTable->table);
destroyKmerOccurenceTable(splayTable->kmerOccurenceTable);
free(splayTable);
velvetLog("Splay table destroyed\n");
}
static KmerKey hash_kmer(Kmer * kmer)
{
#if KMER_LONGLONGS
KmerKey key = kmer->longlongs[0];
#if KMER_LONGLONGS > 1
key ^= kmer->longlongs[1];
#endif
#if KMER_LONGLONGS > 2
key ^= kmer->longlongs[2];
#endif
key = (~key) + (key << 21);
key = key ^ (key >> 24);
key = (key + (key << 3)) + (key << 8);
key = key ^ (key >> 14);
key = (key + (key << 2)) + (key << 4);
key = key ^ (key >> 28);
key = key + (key << 31);
return key % HASH_BUCKETS_NB;
#elif KMER_LONGS
KmerKey key = kmer->longs;
key += ~(key << 15);
key ^= (key >> 10);
key += (key << 3);
key ^= (key >> 6);
key += ~(key << 11);
key ^= (key >> 16);
return key % HASH_BUCKETS_NB;
#elif KMER_INTS
return kmer->ints % HASH_BUCKETS_NB;
#elif KMER_CHARS
return kmer->chars % HASH_BUCKETS_NB;
#endif
}
static Coordinate getNearestHSPIndex(Coordinate position, IDnum * sequenceIDs, Coordinate sequenceLength) {
Coordinate back_offset = -1;
Coordinate front_offset = -1;
for (back_offset = 1; position - back_offset > 0; back_offset++)
if (sequenceIDs[position - back_offset])
break;
for (front_offset = 1; position + front_offset < sequenceLength; front_offset++)
if (sequenceIDs[position + front_offset])
break;
if (back_offset == position && position + front_offset == sequenceLength)
return -1;
else if (back_offset == position)
return position + front_offset;
else if (front_offset + position == sequenceLength)
return position - back_offset;
else
return back_offset < front_offset? position - back_offset : position + front_offset;
}
static KmerOccurence * getMostAppropriateHit(Coordinate readCoord, Coordinate readLength, boolean direct, KmerOccurence * kmerOccurence, IDnum mapCount, IDnum * mapSequenceID, Coordinate * mapCoord, int wordLength) {
KmerOccurence * current;
KmerOccurence * best = NULL;
Coordinate expectedPosition;
Coordinate positionError;
IDnum mapIndex;
// If only one hit
if (!getNextKmerOccurence(kmerOccurence))
return kmerOccurence;
// If multiple hits by unmapped read
if (mapCount == 0)
return NULL;
// Compare cases
for (current = kmerOccurence; current; current = getNextKmerOccurence(current)) {
for (mapIndex = 0; mapIndex < mapCount; mapIndex++) {
// If wrong sequence or unconsistent orientation
if ((direct && getKmerOccurenceNodeID(current) != mapSequenceID[mapIndex])
|| (!direct && getKmerOccurenceNodeID(current) != -mapSequenceID[mapIndex]))
continue;
// Compute where it is supposed to land on reference
if (mapSequenceID[mapIndex] < 0)
expectedPosition = mapCoord[mapIndex] + readLength - readCoord - 1;
else
expectedPosition = mapCoord[mapIndex] + readCoord - wordLength + 1;
// Compute positional error
positionError = getKmerOccurencePosition(current) - expectedPosition;
// If potential hit record
if (positionError < 1 && positionError > -1) {
if (best)
// If competing hit, give up
return NULL;
else
// Record current hit
best = current;
}
}
}
return best;
}
static inline boolean
doFindOrInsertOccurenceInSplayTree(Kmer * kmer, IDnum * seqID,
Coordinate * position, SplayTable *table)
{
#ifdef _OPENMP
const KmerKey kmerHash = hash_kmer(kmer);
boolean ret;
omp_set_lock(table->tableLocks + kmerHash);
ret = findOrInsertOccurenceInSplayTree(kmer, seqID, position,
table->table + kmerHash);
omp_unset_lock(table->tableLocks + kmerHash);
return ret;
#else
return findOrInsertOccurenceInSplayTree(kmer, seqID, position,
&table->table[hash_kmer(kmer)]);
#endif
}
static boolean findOrInsertOccurenceInSplayTable(Kmer * kmer, IDnum * seqID,
Coordinate * position,
SplayTable * table, IDnum * sequenceIDs,
Coordinate * coords, Coordinate readIndex, Coordinate readLength, boolean direct)
{
KmerOccurence * hit;
Coordinate HSPIndex;
// Check if previous anchor
if (sequenceIDs && sequenceIDs[readIndex]) {
if (direct)
*seqID = sequenceIDs[readIndex];
else
*seqID = -sequenceIDs[readIndex];
if (sequenceIDs[readIndex] > 0)
*position = coords[readIndex] + readIndex;
else
*position = coords[readIndex] - readIndex + readLength - 1;
return true;
}
else if (coords && coords[readIndex])
// If in buffer zone:
return doFindOrInsertOccurenceInSplayTree(kmer, seqID, position, table);
if (debug)
abort();
// Look up first in reference sequence k-mers
if (table->kmerOccurenceTable
&& (hit = findKmerInKmerOccurenceTable(kmer, table->kmerOccurenceTable))) {
if (!getNextKmerOccurence(hit)) {
*seqID = getKmerOccurenceNodeID(hit);
*position = getKmerOccurencePosition(hit);
return true;
} else if ((HSPIndex = getNearestHSPIndex(*position, sequenceIDs, readLength)) > 0) {
hit = getMostAppropriateHit(readIndex, readLength, direct, hit, 1, &(sequenceIDs[HSPIndex]), &(coords[HSPIndex]), table->WORDLENGTH);
if (hit) {
*seqID = getKmerOccurenceNodeID(hit);
*position = getKmerOccurencePosition(hit);
return true;
}
}
}
// If not, go through the novel k-mers
return doFindOrInsertOccurenceInSplayTree(kmer, seqID, position, table);
}
static void printAnnotations(IDnum *sequenceIDs, Coordinate * coords,
TightString * array, SplayTable * table,
FILE * file, boolean second_in_pair, IDnum seqID)
{
Coordinate readNucleotideIndex = 0;
Coordinate writeNucleotideIndex = 0;
Kmer word;
Kmer antiWord;
boolean annotationClosed = true;
IDnum sequenceID;
Coordinate coord;
boolean found;
Coordinate position = 0;
Coordinate start = 0;
Coordinate finish = 0;
IDnum referenceSequenceID = 0;
Nucleotide nucleotide;
char lineBuffer[MAXLINE];
TightString * tString = getTightStringInArray(array, seqID - 1);
int thread = 0;
clearKmer(&word);
clearKmer(&antiWord);
#ifdef _OPENMP
thread = omp_get_thread_num();
#endif
if (debug)
abort();
sprintf(lineBuffer, "ROADMAP %li\n", (long)seqID);
appendLine(lineBuffer, thread);
// Neglect any string shorter than WORDLENGTH :
if (getLength(tString) < table->WORDLENGTH) {
#ifdef _OPENMP
pushBuffer(thread);
#else
velvetFprintf(file, "%s", annotationBuffer->str);
resetStringBuffer(annotationBuffer);
#endif
return;
}
// Fill in the initial word :
for (readNucleotideIndex = 0;
readNucleotideIndex < table->WORDLENGTH - 1;
readNucleotideIndex++) {
nucleotide = getNucleotide(readNucleotideIndex, tString);
pushNucleotide(&word, nucleotide);
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
}
while (readNucleotideIndex < getLength(tString)) {
// Shift word:
nucleotide = getNucleotide(readNucleotideIndex, tString);
pushNucleotide(&word, nucleotide);
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
sequenceID = seqID;
coord = writeNucleotideIndex;
if (table->double_strand) {
if (compareKmers(&word, &antiWord) <= 0) {
found =
findOrInsertOccurenceInSplayTable(&word,
&sequenceID,
&coord,
table,
sequenceIDs,
coords,
readNucleotideIndex,
getLength(tString),
true);
} else {
sequenceID = -sequenceID;
found =
findOrInsertOccurenceInSplayTable(&antiWord,
&sequenceID,
&coord,
table,
sequenceIDs,
coords,
readNucleotideIndex,
getLength(tString),
false);
sequenceID = -sequenceID;
}
} else {
if (!second_in_pair) {
found =
findOrInsertOccurenceInSplayTable(&word,
&sequenceID,
&coord,
table,
sequenceIDs,
coords,
readNucleotideIndex,
getLength(tString),
true);
} else {
sequenceID = -sequenceID;
found =
findOrInsertOccurenceInSplayTable(&antiWord,
&sequenceID,
&coord,
table,
sequenceIDs,
coords,
readNucleotideIndex,
getLength(tString),
false);
sequenceID = -sequenceID;
}
}
if (!found) {
writeNucleotideIndex++;
if (!annotationClosed) {
sprintf(lineBuffer, "%ld\t%lld\t%lld\t%lld\n",
(long) referenceSequenceID, (long long) position,
(long long) start, (long long) finish);
appendLine(lineBuffer, thread);
}
annotationClosed = true;
}
// Otherwise create/complete annotation:
else {
// Forbidden k-mer
if (sequenceID == 0) {
break;
}
// Closed/inexistant annotation
else if (annotationClosed) {
referenceSequenceID = sequenceID;
position = writeNucleotideIndex;
start = finish = coord;
if (referenceSequenceID > 0)
finish++;
else
finish--;
annotationClosed = false;
}
// Open annotation
else if (sequenceID == referenceSequenceID
&& coord == finish) {
if (referenceSequenceID > 0)
finish++;
else
finish--;
}
// Previous non corresponding annotation
else {
sprintf(lineBuffer, "%ld\t%lld\t%lld\t%lld\n",
(long) referenceSequenceID, (long long) position,
(long long) start, (long long) finish);
appendLine(lineBuffer, thread);
referenceSequenceID = sequenceID;
position = writeNucleotideIndex;
start = finish = coord;
if (referenceSequenceID > 0)
finish++;
else
finish--;
}
}
readNucleotideIndex++;
}
if (!annotationClosed) {
sprintf(lineBuffer, "%ld\t%lld\t%lld\t%lld\n",
(long) referenceSequenceID, (long long) position,
(long long) start, (long long) finish);
appendLine(lineBuffer, thread);
}
#ifdef _OPENMP
pushBuffer(thread);
#else
velvetFprintf(file, "%s", annotationBuffer->str);
resetStringBuffer(annotationBuffer);
#endif
return;
}
static void computeClearHSPs(TightString * array, boolean second_in_pair, SplayTable * table, IDnum ** sequenceIDs, Coordinate ** coords, IDnum * mapReferenceIDs, Coordinate * mapCoords, Coordinate mapCount, IDnum seqID) {
Coordinate readNucleotideIndex = 0;
Kmer word;
Kmer antiWord;
Kmer polyA;
Nucleotide nucleotide;
KmerOccurence * hit;
int penalty;
TightString * tString;
Coordinate length;
clearKmer(&polyA);
tString = getTightStringInArray(array, seqID - 1);
length = getLength(tString);
*sequenceIDs = callocOrExit(length, IDnum);
*coords = callocOrExit(length, Coordinate);
// First pass for unambiguous hits
// Fill in the initial word :
clearKmer(&word);
clearKmer(&antiWord);
for (readNucleotideIndex = 0;
readNucleotideIndex < table->WORDLENGTH - 1;
readNucleotideIndex++) {
nucleotide = getNucleotide(readNucleotideIndex, tString);
pushNucleotide(&word, nucleotide);
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
}
// Kill silly poly-T beginnings
while (readNucleotideIndex < getLength(tString) && (compareKmers(&antiWord, &polyA) == 0 || compareKmers(&word, &polyA) == 0)) {
nucleotide = getNucleotide(readNucleotideIndex++, tString);
pushNucleotide(&word, nucleotide);
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
}
while (readNucleotideIndex < getLength(tString)) {
// Shift word:
nucleotide = getNucleotide(readNucleotideIndex, tString);
pushNucleotide(&word, nucleotide);
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
if (table->double_strand) {
if (compareKmers(&word, &antiWord) <= 0) {
hit = findKmerInKmerOccurenceTable(&word, table->kmerOccurenceTable);
if (hit && (hit = getMostAppropriateHit(readNucleotideIndex, getLength(tString), true, hit, mapCount, mapReferenceIDs, mapCoords, table->WORDLENGTH)))
(*sequenceIDs)[readNucleotideIndex] = getKmerOccurenceNodeID(hit);
} else {
hit = findKmerInKmerOccurenceTable(&antiWord, table->kmerOccurenceTable);
if (hit && (hit = getMostAppropriateHit(readNucleotideIndex, getLength(tString), false, hit, mapCount, mapReferenceIDs, mapCoords, table->WORDLENGTH)))
(*sequenceIDs)[readNucleotideIndex] = -getKmerOccurenceNodeID(hit);
}
} else {
if (!second_in_pair) {
hit = findKmerInKmerOccurenceTable(&word, table->kmerOccurenceTable);
if (hit && (hit = getMostAppropriateHit(readNucleotideIndex, getLength(tString), true, hit, mapCount, mapReferenceIDs, mapCoords, table->WORDLENGTH)))
(*sequenceIDs)[readNucleotideIndex] = getKmerOccurenceNodeID(hit);
} else {
hit = findKmerInKmerOccurenceTable(&antiWord, table->kmerOccurenceTable);
if (hit && (hit = getMostAppropriateHit(readNucleotideIndex, getLength(tString), false, hit, mapCount, mapReferenceIDs, mapCoords, table->WORDLENGTH)))
(*sequenceIDs)[readNucleotideIndex] = -getKmerOccurenceNodeID(hit);
}
}
if ((*sequenceIDs)[readNucleotideIndex]) {
if ((*sequenceIDs)[readNucleotideIndex] > 0)
(*coords)[readNucleotideIndex] = getKmerOccurencePosition(hit) - readNucleotideIndex;
else
(*coords)[readNucleotideIndex] = getKmerOccurencePosition(hit) + readNucleotideIndex - getLength(tString) + 1;
}
// Barrier to flip-flopping
if ((*sequenceIDs)[readNucleotideIndex - 1] != 0
&& ((*sequenceIDs)[readNucleotideIndex] != (*sequenceIDs)[readNucleotideIndex - 1]
|| (*coords)[readNucleotideIndex] != (*coords)[readNucleotideIndex - 1])) {
// Break in continuity... skip k positions
(*sequenceIDs)[readNucleotideIndex] = 0;
(*coords)[readNucleotideIndex] = -1;
readNucleotideIndex++;
for (penalty = 0; penalty < table->WORDLENGTH - 1 && readNucleotideIndex < getLength(tString); penalty++) {
nucleotide = getNucleotide(readNucleotideIndex, tString);
pushNucleotide(&word, nucleotide);
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
(*sequenceIDs)[readNucleotideIndex] = 0;
(*coords)[readNucleotideIndex] = -1;
readNucleotideIndex++;
}
} else
readNucleotideIndex++;
}
free(mapReferenceIDs);
free(mapCoords);
}
void inputSequenceIntoSplayTable(TightString * array,
SplayTable * table,
FILE * file,
boolean second_in_pair,
IDnum * mapReferenceIDs, Coordinate * mapCoords, Coordinate mapCount,
IDnum seqID)
{
IDnum * sequenceIDs = NULL;
Coordinate * coords = NULL;
//debug = (seqID == 29405);
// If appropriate, get the HSPs on reference sequences
if (table->kmerOccurenceTable)
computeClearHSPs(array, second_in_pair, table, &sequenceIDs, &coords, mapReferenceIDs, mapCoords, mapCount, seqID);
// Go through read, eventually with annotations
printAnnotations(sequenceIDs, coords, array, table, file, second_in_pair, seqID);
// Clean up
if (sequenceIDs) {
free(sequenceIDs);
free(coords);
}
}
void inputReferenceIntoSplayTable(TightString * tString,
SplayTable * table, FILE * file, IDnum seqID, Mask * mask)
{
IDnum currentIndex;
Coordinate readNucleotideIndex = 0;
Coordinate kmerIndex = 0;
Kmer word;
Kmer antiWord;
Nucleotide nucleotide;
Mask * currentMask = mask;
#ifdef _OPENMP
char lineBuffer[MAXLINE];
#endif
clearKmer(&word);
clearKmer(&antiWord);
currentIndex = seqID;
#ifdef _OPENMP
sprintf(lineBuffer, "ROADMAP %li\n", (long)currentIndex);
appendLine(lineBuffer, omp_get_thread_num());
#else
velvetFprintf(file, "ROADMAP %li\n", (long)currentIndex);
#endif
// Neglect any string shorter than WORDLENGTH :
if (getLength(tString) < table->WORDLENGTH) {
return;
}
// Fill in the initial word :
for (readNucleotideIndex = 0;
readNucleotideIndex < table->WORDLENGTH - 1;
readNucleotideIndex++) {
nucleotide = getNucleotide(readNucleotideIndex, tString);
pushNucleotide(&word, nucleotide);
if (table->double_strand) {
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
}
}
while (readNucleotideIndex < getLength(tString)) {
// Shift word:
nucleotide = getNucleotide(readNucleotideIndex, tString);
pushNucleotide(&word, nucleotide);
if (table->double_strand) {
#ifdef COLOR
reversePushNucleotide(&antiWord, nucleotide);
#else
reversePushNucleotide(&antiWord, 3 - nucleotide);
#endif
}
// Check for gap masks:
if (currentMask && currentMask->start - table->WORDLENGTH + 1 <= readNucleotideIndex) {
while(currentMask && currentMask->finish + table->WORDLENGTH - 1 < readNucleotideIndex)
currentMask = currentMask->next;
if (currentMask && currentMask->finish + table->WORDLENGTH - 1 >= readNucleotideIndex) {
readNucleotideIndex++;
kmerIndex++;
continue;
}
}
// Record k-mer
if (table->double_strand) {
if (compareKmers(&word, &antiWord) <= 0)
recordKmerOccurence(&word, currentIndex,
kmerIndex,
table->kmerOccurenceTable);
else
recordKmerOccurence(&antiWord, -currentIndex,
kmerIndex,
table->kmerOccurenceTable);
} else {
recordKmerOccurence(&word, currentIndex,
kmerIndex,
table->kmerOccurenceTable);
}
readNucleotideIndex++;
kmerIndex++;
}
return;
}
static Coordinate countReferenceKmers(ReadSet * reads, int wordLength) {
IDnum readIndex;
Coordinate length = 0;
for (readIndex = 0; readIndex < reads->readCount && reads->categories[readIndex] == REFERENCE; readIndex++)
{
Coordinate tmpLength = getLength(getTightStringInArray(reads->tSequences, readIndex));
if (tmpLength >= wordLength)
length += tmpLength - wordLength + 1;
}
return length;
}
Mask ** scanReferenceSequences(FILE * file, IDnum referenceSequenceCount) {
Mask ** referenceMasks = callocOrExit(referenceSequenceCount, Mask*);
IDnum index;
char line[MAXLINE];
char c = '\0';
// Search sequences for masks
for (index = 0; index < referenceSequenceCount; index++) {
Mask * current = NULL;
Coordinate position = 0;
boolean openMask = false;
// Read through header
fgets(line, MAXLINE, file);
// Read through sequence
while ((c = getc(file))) {
if (c == EOF || c == '>')
break;
else if (c == '\r' || c == '\n')
continue;
else if (c == 'n' || c == 'N') {
if (openMask)
current->finish++;
else if (referenceMasks[index] == NULL) {
referenceMasks[index] = newMask(position);
current = referenceMasks[index];
} else {
current->next = newMask(position);
current = current->next;
}
openMask = true;
position++;
} else {
openMask = false;
position++;
}
}
}
if (c != '\0')
ungetc(c, file);
return referenceMasks;
}
Mask ** scanBinaryReferenceSequences(SequencesReader *seqReadInfo, IDnum referenceSequenceCount) {
Mask ** referenceMasks = callocOrExit(referenceSequenceCount, Mask*);
IDnum index;
char line[MAXLINE];
char c = '\0';
FILE *file = fopen(seqReadInfo->m_namesFilename, "r");
if (file == NULL) {
exitErrorf(EXIT_FAILURE, true, "Couldn't read file %s", seqReadInfo->m_namesFilename);
} else {
velvetLog("Reading mapping info from %s\n", seqReadInfo->m_namesFilename);
}
// Search sequences for masks
for (index = 0; index < referenceSequenceCount; index++) {
Mask * current = NULL;
long start = 0;
long finish = 0;
long number;
long cat;
// Read through header
if ((c = getc(file)) != '>') {
exitErrorf(EXIT_FAILURE, false, "names line did not start with >");
}
fgets(line, MAXLINE, file);
sscanf(line, "%*[^\t]\t%li\t%li\n", &number, &cat);
// ensure is is a ref cat
if ((IDnum) number != index + 1) {
exitErrorf(EXIT_FAILURE, false, "sequence %ld != expected %ld", number, (long) index);
}
if ((Category) cat != REFERENCE) {
exitErrorf(EXIT_FAILURE, false, "unexpected category %ld", cat);
}
// Read through the reference maps
while ((c = getc(file))) {
if (c == EOF || c == '>') {
break;
}
ungetc(c, file);
fgets(line, MAXLINE, file);
sscanf(line, "%li\t%li\n", &start, &finish);
if (referenceMasks[index] == NULL) {
referenceMasks[index] = newMask(start);
referenceMasks[index]->finish = finish;
current = referenceMasks[index];
} else {
current->next = newMask(start);
current->next->finish = finish;
current = current->next;
}
}
ungetc(c, file);
}
fclose(file);
return referenceMasks;
}
void inputSequenceArrayIntoSplayTableAndArchive(ReadSet * reads,
SplayTable * table,
char *filename, char* seqFilename)
{
IDnum index;
IDnum sequenceCount = reads->readCount;
TightString *array;
FILE *outfile = fopen(filename, "w");
FILE *seqFile = NULL;
IDnum kmerCount;
IDnum referenceSequenceCount = 0;
struct timeval start, end, diff;
SequencesReader seqReadInfo;
memset(&seqReadInfo, 0, sizeof(seqReadInfo));
if (isCreateBinary()) {
seqReadInfo.m_bIsBinary = true;
seqReadInfo.m_pFile = openCnySeqForRead(seqFilename, &seqReadInfo.m_unifiedSeqFileHeader);
if (!seqReadInfo.m_pFile) {
exitErrorf(EXIT_FAILURE, true, "Could not open %s", seqFilename);
}
seqReadInfo.m_namesFilename = mallocOrExit(strlen(seqFilename) + sizeof(".names"), char);
sprintf(seqReadInfo.m_namesFilename, "%s.names", seqFilename);
seqReadInfo.m_numCategories = seqReadInfo.m_unifiedSeqFileHeader.m_numCategories;
seqReadInfo.m_minSeqLen = seqReadInfo.m_unifiedSeqFileHeader.m_minSeqLen;
seqReadInfo.m_maxSeqLen = seqReadInfo.m_unifiedSeqFileHeader.m_maxSeqLen;
seqReadInfo.m_bIsRef = false;
seqReadInfo.m_pReadBuffer = mallocOrExit(USF_READ_BUF_SIZE, uint8_t );
seqReadInfo.m_pCurrentReadPtr = seqReadInfo.m_pReadBufEnd = 0;
resetCnySeqCurrentRead(&seqReadInfo);
} else {
seqReadInfo.m_bIsBinary = false;
}
IDnum ** mapReferenceIDs = NULL;
Coordinate ** mapCoords = NULL;
Coordinate * mapCount = NULL;
char line[MAXLINE];
char c;
IDnum seqID = 0;
long long_var;
long long longlong_var;
Coordinate maxCount = 20;
Coordinate counter = 0;
// DEBUG
Mask ** referenceMasks = NULL;
if (outfile == NULL)
exitErrorf(EXIT_FAILURE, true, "Couldn't write to file %s", filename);
else
velvetLog("Writing into roadmap file %s...\n", filename);
// Count reference sequences
for (index = 0; index < reads->readCount && reads->categories[index] == REFERENCE; index++)
referenceSequenceCount++;
velvetFprintf(outfile, "%ld\t%ld\t%i\t%hi\n", (long) sequenceCount, (long) referenceSequenceCount, table->WORDLENGTH, (short) table->double_strand);
if (reads->tSequences == NULL)
convertSequences(reads);
gettimeofday(&start, NULL);
array = reads->tSequences;
#ifdef _OPENMP
if (omp_get_max_threads() == 1)
{
omp_set_num_threads(2);
omp_set_nested(0);
}
else
omp_set_nested(1);
initAnnotationBuffers();
#else
annotationBuffer = newStringBuffer(BUFFER_SIZE);
#endif
if (referenceSequenceCount && (kmerCount = countReferenceKmers(reads, table->WORDLENGTH)) > 0) {
table->kmerOccurenceTable = newKmerOccurenceTable(24 , table->WORDLENGTH);
allocateKmerOccurences(kmerCount, table->kmerOccurenceTable);
if (seqReadInfo.m_bIsBinary) {
referenceMasks = scanBinaryReferenceSequences(&seqReadInfo, referenceSequenceCount);
// binary seqs have no Ns so just advance past the references
for (index = 0; index < referenceSequenceCount; index++) {
TightString cmpString;
cmpString.length = seqReadInfo.m_currentReadLength;
cmpString.sequence = mallocOrExit((seqReadInfo.m_currentReadLength + 3) / 4, uint8_t );
getCnySeqNucl(&seqReadInfo, cmpString.sequence);
if (seqReadInfo.m_bIsRef) {
seqReadInfo.m_refCnt = readCnySeqUint32(&seqReadInfo);
// now the next ptr is advanced
seqReadInfo.m_pNextReadPtr += (sizeof(RefInfo) * seqReadInfo.m_refCnt);
RefInfo refElem;
uint32_t refIdx;
for (refIdx = 0; refIdx < seqReadInfo.m_refCnt; refIdx++) {
// not actually used so just read past refs
refElem.m_referenceID = readCnySeqUint32(&seqReadInfo);
refElem.m_pos = readCnySeqUint32(&seqReadInfo);
}
}
// optional test to ensure reference mapping seqIDs are in sync
#if 0
TightString *tString;
tString = getTightStringInArray(array, index);
if (getLength(tString) != seqReadInfo.m_currentReadLength) {
velvetLog("Error: TightString len mismatch, %d != %ld\n", getLength(tString), seqReadInfo.m_currentReadLength);
exit(1);
}
char *str = readTightString(tString);
char *cmpStr = readTightString(&cmpString);
if (strcmp(str, cmpStr) != 0) {
printf("seq %s != cmp %s\n", str, cmpStr);
exit(1);
}
free(str);
free(cmpStr);
#endif
advanceCnySeqCurrentRead(&seqReadInfo);
free(cmpString.sequence);
}
} else {
seqFile = fopen(seqFilename, "r");
if (seqFile == NULL)
exitErrorf(EXIT_FAILURE, true, "Couldn't write to file %s", seqFilename);
else
velvetLog("Reading mapping info from file %s\n", seqFilename);
seqReadInfo.m_pFile = seqFile;
// Skip through reference headers quickly
referenceMasks = scanReferenceSequences(seqFile, referenceSequenceCount);
}
#ifdef _OPENMP
producing = 1;
#pragma omp parallel sections
{
#pragma omp section
{
bufferWritter(outfile);
}
#pragma omp section
{
#pragma omp parallel for
#endif
for (index = 0; index < referenceSequenceCount; index++)
inputReferenceIntoSplayTable(getTightStringInArray(array, index),
table, outfile, index + 1, referenceMasks[index]);
#ifdef _OPENMP
for (index = omp_get_max_threads() - 1; index >= 0; index--)
pushBufferCommit(index);
producing = 0;
#pragma omp flush(producing)
}
}
#endif
if (maskMemory)
destroyRecycleBin(maskMemory);
maskMemory = NULL;
sortKmerOccurenceTable(table->kmerOccurenceTable);
}
velvetLog("Inputting sequences...\n");
if (table->kmerOccurenceTable) {
mapReferenceIDs = callocOrExit(sequenceCount + 1, IDnum*);
mapCoords = callocOrExit(sequenceCount + 1, Coordinate *);
mapCount = callocOrExit(sequenceCount + 1, Coordinate);
RefInfo *refArray = NULL;
if (seqReadInfo.m_bIsBinary) {
TightString cmpString;
for (seqID = referenceSequenceCount + 1; seqID < sequenceCount + 1; seqID++) {
cmpString.length = seqReadInfo.m_currentReadLength;
cmpString.sequence = mallocOrExit((seqReadInfo.m_currentReadLength + 3) / 4, uint8_t );
getCnySeqNucl(&seqReadInfo, cmpString.sequence);
if (seqReadInfo.m_bIsRef) {
seqReadInfo.m_refCnt = readCnySeqUint32(&seqReadInfo);
// now the next ptr is advanced
seqReadInfo.m_pNextReadPtr += (sizeof(RefInfo) * seqReadInfo.m_refCnt);
refArray = callocOrExit(seqReadInfo.m_refCnt, RefInfo);
uint32_t refIdx;
for (refIdx = 0; refIdx < seqReadInfo.m_refCnt; refIdx++) {
refArray[refIdx].m_referenceID = readCnySeqUint32(&seqReadInfo);
refArray[refIdx].m_pos = readCnySeqUint32(&seqReadInfo);
}
}
// optional test to ensure reference mapping seqIDs are in sync
#if 0
TightString *tString;
tString = getTightStringInArray(array, seqID - 1);
if (getLength(tString) != seqReadInfo.m_currentReadLength) {
velvetLog("Error: TightString len mismatch, %d != %ld\n", getLength(tString), seqReadInfo.m_currentReadLength);
exit(1);
}
char *str = readTightString(tString);
char *cmpStr = readTightString(&cmpString);
if (strcmp(str, cmpStr) != 0) {
printf("seq %s != cmp %s\n", str, cmpStr);
exit(1);
}
free(str);
free(cmpStr);
#endif
free(cmpString.sequence);
// set prior count
mapCount[seqID - 1] = counter;
counter = 0;
maxCount = 20;
mapReferenceIDs[seqID] = callocOrExit(maxCount, IDnum);
mapCoords[seqID] = callocOrExit(maxCount, Coordinate);
if (seqReadInfo.m_bIsRef) {
while (counter < seqReadInfo.m_refCnt) {
mapReferenceIDs[seqID][counter] = (IDnum) refArray[counter].m_referenceID;
mapCoords[seqID][counter] = (Coordinate) refArray[counter].m_pos;
if (++counter == maxCount) {
maxCount *= 2;
mapReferenceIDs[seqID] = reallocOrExit(mapReferenceIDs[seqID], maxCount, IDnum);
mapCoords[seqID] = reallocOrExit(mapCoords[seqID], maxCount, Coordinate);
}
}
free(refArray);
}
advanceCnySeqCurrentRead(&seqReadInfo);
}
} else {
// Parse file for mapping info
while (seqFile && (c = getc(seqFile)) != EOF) {
if (c == '>') {
mapCount[seqID] = counter;
counter = 0;
maxCount = 20;
fgets(line, MAXLINE, seqFile);
sscanf(line,"%*[^\t]\t%li\t", &long_var);
seqID = (IDnum) long_var;
mapReferenceIDs[seqID] = callocOrExit(maxCount, IDnum);
mapCoords[seqID] = callocOrExit(maxCount, Coordinate);
} else if (c == 'M') {
fgets(line, MAXLINE, seqFile);
sscanf(line,"\t%li\t%lli\n", &long_var, &longlong_var);
mapReferenceIDs[seqID][counter] = (IDnum) long_var;
mapCoords[seqID][counter] = (Coordinate) longlong_var;
if (++counter == maxCount) {
maxCount *= 2;
mapReferenceIDs[seqID] = reallocOrExit(mapReferenceIDs[seqID], maxCount, IDnum);
mapCoords[seqID] = reallocOrExit(mapCoords[seqID], maxCount, Coordinate);
}
}
}
}
}
if (seqFile)
fclose(seqFile);
if (seqReadInfo.m_bIsBinary) {
if (seqReadInfo.m_pReadBuffer) {
free(seqReadInfo.m_pReadBuffer);
}
fclose(seqReadInfo.m_pFile);
}
#ifdef _OPENMP
producing = 1;
#pragma omp parallel sections
{
#pragma omp section
{
bufferWritter(outfile);
}
#pragma omp section
{
#pragma omp parallel for
#endif
for (index = referenceSequenceCount; index < sequenceCount; index++)
{
boolean second_in_pair;
// Progress report on screen
if (index % 1000000 == 0) {
velvetLog("Inputting sequence %li / %li\n",
(long)index, (long)sequenceCount);
fflush(stdout);
}
// Test to make sure that all the reference reads are before all the other reads
if (reads->categories[index] == REFERENCE) {
velvetLog("Reference sequence placed after a non-reference read!\n");
velvetLog(">> Please re-order the filenames in your command line so as "
"to have the reference sequence files before all the others\n");
#ifdef DEBUG
abort();
#endif
exit(0);
}
second_in_pair = reads->categories[index] % 2 && isSecondInPair(reads, index);
// Hashing the reads
if (table->kmerOccurenceTable)
inputSequenceIntoSplayTable(array, table,
outfile,
second_in_pair, mapReferenceIDs[index + 1], mapCoords[index+1], mapCount[index+1], index + 1);
else
inputSequenceIntoSplayTable(array, table,
outfile,
second_in_pair, NULL, NULL, 0, index + 1);
}
#ifdef _OPENMP
for (index = omp_get_max_threads() - 1; index >= 0; index--)
pushBufferCommit(index);
producing = 0;
#pragma omp flush(producing)
}
}
destroyAnnotationBuffers();
#else
destroyStringBuffer(annotationBuffer, 1);
#endif
gettimeofday(&end, NULL);
timersub(&end, &start, &diff);
velvetLog(" === Sequences loaded in %ld.%06ld s\n", (long) diff.tv_sec, (long) diff.tv_usec);
fclose(outfile);
if (mapReferenceIDs) {
free(mapReferenceIDs);
free(mapCoords);
free(mapCount);
}
if (referenceMasks) {
free(referenceMasks);
}
if (seqReadInfo.m_namesFilename) {
free(seqReadInfo.m_namesFilename);
}
//free(reads->tSequences);
//reads->tSequences = NULL;
//destroyReadSet(reads);
velvetLog("Done inputting sequences\n");
}
|
norm1.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.
*/
#include <cmath>
extern "C" void FUNC(norm1)(const dlong & Nblocks, const dlong & N,
const dfloat * __restrict__ cpu_a,
dfloat * __restrict__ normA){
dfloat wa2 = 0;
#ifdef __NEKRS__OMP__
#pragma omp parallel for reduction(+:wa2)
#endif
for(int i=0;i<N;++i){
const dfloat ai = cpu_a[i];
wa2 += fabs(ai);
}
normA[0] = wa2;
}
|
omp_threadprivate.c | // RUN: %libomp-compile-and-run
/*
* Threadprivate is tested in 2 ways:
* 1. The global variable declared as threadprivate should have
* local copy for each thread. Otherwise race condition and
* wrong result.
* 2. If the value of local copy is retained for the two adjacent
* parallel regions
*/
#include "omp_testsuite.h"
#include <stdlib.h>
#include <stdio.h>
static int sum0=0;
static int myvalue = 0;
#pragma omp threadprivate(sum0)
#pragma omp threadprivate(myvalue)
int test_omp_threadprivate()
{
int sum = 0;
int known_sum;
int i;
int iter;
int *data;
int size;
int num_failed = 0;
int my_random;
omp_set_dynamic(0);
#pragma omp parallel private(i)
{
sum0 = 0;
#pragma omp for
for (i = 1; i <= LOOPCOUNT; i++) {
sum0 = sum0 + i;
} /*end of for*/
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
} /* end of parallel */
known_sum = (LOOPCOUNT * (LOOPCOUNT + 1)) / 2;
if (known_sum != sum ) {
fprintf (stderr, " known_sum = %d, sum = %d\n", known_sum, sum);
}
/* the next parallel region is just used to get the number of threads*/
omp_set_dynamic(0);
#pragma omp parallel
{
#pragma omp master
{
size=omp_get_num_threads();
data=(int*) malloc(size*sizeof(int));
}
}/* end parallel*/
srand(45);
for (iter = 0; iter < 100; iter++) {
my_random = rand(); /* random number generator is
called inside serial region*/
/* the first parallel region is used to initialiye myvalue
and the array with my_random+rank */
#pragma omp parallel
{
int rank;
rank = omp_get_thread_num ();
myvalue = data[rank] = my_random + rank;
}
/* the second parallel region verifies that the
value of "myvalue" is retained */
#pragma omp parallel reduction(+:num_failed)
{
int rank;
rank = omp_get_thread_num ();
num_failed = num_failed + (myvalue != data[rank]);
if(myvalue != data[rank]) {
fprintf (stderr, " myvalue = %d, data[rank]= %d\n",
myvalue, data[rank]);
}
}
}
free (data);
return (known_sum == sum) && !num_failed;
} /* end of check_threadprivate*/
int main()
{
int i;
int num_failed=0;
for(i = 0; i < REPETITIONS; i++) {
if(!test_omp_threadprivate()) {
num_failed++;
}
}
return num_failed;
}
|
hypre_smp_forloop.h | /*BHEADER**********************************************************************
* (c) 1998 The Regents of the University of California
*
* See the file COPYRIGHT_and_DISCLAIMER for a complete copyright
* notice, contact person, and disclaimer.
*
* $Revision$
*********************************************************************EHEADER*/
/*****************************************************************************
* Wrapper code for SMP compiler directives. Translates
* hypre SMP directives into the appropriate Open MP,
* IBM, SGI, or pgcc (Red) SMP compiler directives.
****************************************************************************/
#ifndef HYPRE_SMP_PRIVATE
#define HYPRE_SMP_PRIVATE
#endif
#ifdef HYPRE_USING_OPENMP
#ifndef HYPRE_SMP_REDUCTION_OP
#pragma omp parallel for private(HYPRE_SMP_PRIVATE) schedule(static)
#endif
#ifdef HYPRE_SMP_REDUCTION_OP
#pragma omp parallel for private(HYPRE_SMP_PRIVATE) \
reduction(HYPRE_SMP_REDUCTION_OP: HYPRE_SMP_REDUCTION_VARS) \
schedule(static)
#endif
#endif
#ifdef HYPRE_USING_SGI_SMP
#pragma parallel
#pragma pfor
#pragma schedtype(gss)
#pragma chunksize(10)
#endif
#ifdef HYPRE_USING_IBM_SMP
#pragma parallel_loop
#pragma schedule (guided,10)
#endif
#ifdef HYPRE_USING_PGCC_SMP
#ifndef HYPRE_SMP_REDUCTION_OP
#pragma parallel local(HYPRE_SMP_PRIVATE) pfor
#endif
#ifdef HYPRE_SMP_REDUCTION_OP
#endif
#endif
#undef HYPRE_SMP_PRIVATE
#undef HYPRE_SMP_REDUCTION_OP
#undef HYPRE_SMP_REDUCTION_VARS
|
GB_unaryop__lnot_uint16_int32.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__lnot_uint16_int32
// op(A') function: GB_tran__lnot_uint16_int32
// C type: uint16_t
// A type: int32_t
// cast: uint16_t cij = (uint16_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, x) \
uint16_t z = (uint16_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_LNOT || GxB_NO_UINT16 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_uint16_int32
(
uint16_t *restrict Cx,
const int32_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__lnot_uint16_int32
(
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
|
effects.c | #define _POSIX_C_SOURCE 200809
#define _XOPEN_SOURCE 700
#include <omp.h>
#include <limits.h>
#include <stdlib.h>
#include <stdbool.h>
#include <dlfcn.h>
#include <string.h>
#include <errno.h>
#include <sys/wait.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
#include <spawn.h>
#include <time.h>
#include <stdio.h>
#include "effects.h"
#include "log.h"
// glib might or might not have already defined MIN,
// depending on whether we have pixbuf or not...
#ifndef MIN
#define MIN(a, b) ((a) < (b) ? (a) : (b))
#endif
extern char **environ;
static int screen_size_to_pix(struct swaylock_effect_screen_pos size, int screensize, int scale) {
if (size.is_percent) {
return (size.pos / 100.0) * screensize;
} else if (size.pos > 0) {
return size.pos * scale;
} else {
return size.pos;
}
}
static int screen_pos_to_pix(struct swaylock_effect_screen_pos pos, int screensize, int scale) {
int actual;
if (pos.is_percent) {
actual = (pos.pos / 100.0) * screensize;
} else {
actual = pos.pos * scale;
}
if (actual < 0) {
actual = screensize + actual;
}
return actual;
}
static const char *effect_name(struct swaylock_effect *effect) {
switch (effect->tag) {
case EFFECT_BLUR: return "blur";
case EFFECT_PIXELATE: return "pixelate";
case EFFECT_SCALE: return "scale";
case EFFECT_GREYSCALE: return "greyscale";
case EFFECT_VIGNETTE: return "vignette";
case EFFECT_COMPOSE: return "compose";
case EFFECT_CUSTOM: return effect->e.custom;
}
abort();
}
static void screen_pos_pair_to_pix(
struct swaylock_effect_screen_pos posx,
struct swaylock_effect_screen_pos posy,
int objwidth, int objheight,
int screenwidth, int screenheight, int scale, int gravity,
int *outx, int *outy) {
int x = screen_pos_to_pix(posx, screenwidth, scale);
int y = screen_pos_to_pix(posy, screenheight, scale);
// Adjust X
switch (gravity) {
case EFFECT_COMPOSE_GRAV_CENTER:
case EFFECT_COMPOSE_GRAV_N:
case EFFECT_COMPOSE_GRAV_S:
x -= objwidth / 2;
break;
case EFFECT_COMPOSE_GRAV_NW:
case EFFECT_COMPOSE_GRAV_SW:
case EFFECT_COMPOSE_GRAV_W:
break;
case EFFECT_COMPOSE_GRAV_NE:
case EFFECT_COMPOSE_GRAV_SE:
case EFFECT_COMPOSE_GRAV_E:
x -= objwidth;
break;
}
// Adjust Y
switch (gravity) {
case EFFECT_COMPOSE_GRAV_CENTER:
case EFFECT_COMPOSE_GRAV_W:
case EFFECT_COMPOSE_GRAV_E:
y -= objheight / 2;
break;
case EFFECT_COMPOSE_GRAV_NW:
case EFFECT_COMPOSE_GRAV_NE:
case EFFECT_COMPOSE_GRAV_N:
break;
case EFFECT_COMPOSE_GRAV_SW:
case EFFECT_COMPOSE_GRAV_SE:
case EFFECT_COMPOSE_GRAV_S:
y -= objheight;
break;
}
*outx = x;
*outy = y;
}
static uint32_t blend_pixels(float alpha, uint32_t srcpix, uint32_t destpix) {
uint8_t srcr = (srcpix & 0x00ff0000) >> 16;
uint8_t destr = (destpix & 0x00ff0000) >> 16;
uint8_t srcg = (srcpix & 0x0000ff00) >> 8;
uint8_t destg = (destpix & 0x0000ff00) >> 8;
uint8_t srcb = (srcpix & 0x000000ff) >> 0;
uint8_t destb = (destpix & 0x000000ff) >> 0;
return (uint32_t)0 |
(uint32_t)255 << 24 |
(uint32_t)(srcr + destr * (1 - alpha)) << 16 |
(uint32_t)(srcg + destg * (1 - alpha)) << 8 |
(uint32_t)(srcb + destb * (1 - alpha)) << 0;
}
static void blur_h(uint32_t *dest, uint32_t *src, int width, int height,
int radius) {
const int minradius = radius < width ? radius : width;
#pragma omp parallel for
for (int y = 0; y < height; ++y) {
uint32_t *srow = src + y * width;
uint32_t *drow = dest + y * width;
// 'range' is float, because floating point division is usually faster
// than integer division.
int r_acc = 0;
int g_acc = 0;
int b_acc = 0;
float range = minradius;
// Accumulate the range (0..radius)
for (int x = 0; x < minradius; ++x) {
r_acc += (srow[x] & 0xff0000) >> 16;
g_acc += (srow[x] & 0x00ff00) >> 8;
b_acc += (srow[x] & 0x0000ff);
}
// Deal with the main body
for (int x = 0; x < width; ++x) {
if (x >= minradius) {
r_acc -= (srow[x - radius] & 0xff0000) >> 16;
g_acc -= (srow[x - radius] & 0x00ff00) >> 8;
b_acc -= (srow[x - radius] & 0x0000ff);
range -= 1;
}
if (x < width - minradius) {
r_acc += (srow[x + radius] & 0xff0000) >> 16;
g_acc += (srow[x + radius] & 0x00ff00) >> 8;
b_acc += (srow[x + radius] & 0x0000ff);
range += 1;
}
drow[x] = 0 |
(int)(r_acc / range) << 16 |
(int)(g_acc / range) << 8 |
(int)(b_acc / range);
}
}
}
static void blur_v(uint32_t *dest, uint32_t *src, int width, int height,
int radius) {
const int minradius = radius < height ? radius : height;
#pragma omp parallel for
for (int x = 0; x < width; ++x) {
uint32_t *scol = src + x;
uint32_t *dcol = dest + x;
// 'range' is float, because floating point division is usually faster
// than integer division.
int r_acc = 0;
int g_acc = 0;
int b_acc = 0;
float range = minradius;
// Accumulate the range (0..radius)
for (int y = 0; y < minradius; ++y) {
r_acc += (scol[y * width] & 0xff0000) >> 16;
g_acc += (scol[y * width] & 0x00ff00) >> 8;
b_acc += (scol[y * width] & 0x0000ff);
}
// Deal with the main body
for (int y = 0; y < height; ++y) {
if (y >= minradius) {
r_acc -= (scol[(y - radius) * width] & 0xff0000) >> 16;
g_acc -= (scol[(y - radius) * width] & 0x00ff00) >> 8;
b_acc -= (scol[(y - radius) * width] & 0x0000ff);
range -= 1;
}
if (y < height - minradius) {
r_acc += (scol[(y + radius) * width] & 0xff0000) >> 16;
g_acc += (scol[(y + radius) * width] & 0x00ff00) >> 8;
b_acc += (scol[(y + radius) * width] & 0x0000ff);
range += 1;
}
dcol[y * width] = 0 |
(int)(r_acc / range) << 16 |
(int)(g_acc / range) << 8 |
(int)(b_acc / range);
}
}
}
static void blur_once(uint32_t *dest, uint32_t *src, uint32_t *scratch,
int width, int height, int radius) {
blur_h(scratch, src, width, height, radius);
blur_v(dest, scratch, width, height, radius);
}
// This effect_blur function, and the associated blur_* functions,
// are my own adaptations of code in yvbbrjdr's i3lock-fancy-rapid:
// https://github.com/yvbbrjdr/i3lock-fancy-rapid
static void effect_blur(uint32_t *dest, uint32_t *src, int width, int height, int scale,
int radius, int times) {
uint32_t *origdest = dest;
uint32_t *scratch = malloc(width * height * sizeof(*scratch));
blur_once(dest, src, scratch, width, height, radius * scale);
for (int i = 0; i < times - 1; ++i) {
uint32_t *tmp = src;
src = dest;
dest = tmp;
blur_once(dest, src, scratch, width, height, radius * scale);
}
free(scratch);
// We're flipping between using dest and src;
// if the last buffer we used was src, copy that over to dest.
if (dest != origdest)
memcpy(origdest, dest, width * height * sizeof(*dest));
}
static void effect_pixelate(uint32_t *data, int width, int height, int scale, int factor) {
factor *= scale;
#pragma omp parallel for
for (int y = 0; y < height / factor + 1; ++y) {
for (int x = 0; x < width / factor + 1; ++x) {
int total_r = 0, total_g = 0, total_b = 0;
int xstart = x * factor;
int ystart = y * factor;
int xlim = MIN(xstart + factor, width);
int ylim = MIN(ystart + factor, height);
// Average
for (int ry = ystart; ry < ylim; ++ry) {
for (int rx = xstart; rx < xlim; ++rx) {
int index = ry * width + rx;
total_r += (data[index] & 0xff0000) >> 16;
total_g += (data[index] & 0x00ff00) >> 8;
total_b += (data[index] & 0x0000ff);
}
}
int r = total_r / (factor * factor);
int g = total_g / (factor * factor);
int b = total_b / (factor * factor);
// Fill pixels
for (int ry = ystart; ry < ylim; ++ry) {
for (int rx = xstart; rx < xlim; ++rx) {
int index = ry * width + rx;
data[index] = r << 16 | g << 8 | b;
}
}
}
}
}
static void effect_scale(uint32_t *dest, uint32_t *src, int swidth, int sheight,
double scale) {
int dwidth = swidth * scale;
int dheight = sheight * scale;
double fact = 1.0 / scale;
#pragma omp parallel for
for (int dy = 0; dy < dheight; ++dy) {
int sy = dy * fact;
if (sy >= sheight) continue;
for (int dx = 0; dx < dwidth; ++dx) {
int sx = dx * fact;
if (sx >= swidth) continue;
dest[dy * dwidth + dx] = src[sy * swidth + sx];
}
}
}
static void effect_greyscale(uint32_t *data, int width, int height) {
#pragma omp parallel for
for (int y = 0; y < height; ++y) {
for (int x = 0; x < width; ++x) {
int index = y * width + x;
int r = (data[index] & 0xff0000) >> 16;
int g = (data[index] & 0x00ff00) >> 8;
int b = (data[index] & 0x0000ff);
int luma = 0.2989 * r + 0.5870 * g + 0.1140 * b;
if (luma < 0) luma = 0;
if (luma > 255) luma = 255;
luma &= 0xFF;
data[index] = luma << 16 | luma << 8 | luma;
}
}
}
static void effect_vignette(uint32_t *data, int width, int height,
double base, double factor) {
base = fmin(1, fmax(0, base));
factor = fmin(1 - base, fmax(0, factor));
#pragma omp parallel for
for (int y = 0; y < height; ++y) {
for (int x = 0; x < width; ++x) {
double xf = (x * 1.0) / width;
double yf = (y * 1.0) / height;
double vignette_factor = base + factor
* 16 * xf * yf * (1.0 - xf) * (1.0 - yf);
int index = y * width + x;
int r = (data[index] & 0xff0000) >> 16;
int g = (data[index] & 0x00ff00) >> 8;
int b = (data[index] & 0x0000ff);
r = (int)(r * vignette_factor) & 0xFF;
g = (int)(g * vignette_factor) & 0xFF;
b = (int)(b * vignette_factor) & 0xFF;
data[index] = r << 16 | g << 8 | b;
}
}
}
static void effect_compose(uint32_t *data, int width, int height, int scale,
struct swaylock_effect_screen_pos posx,
struct swaylock_effect_screen_pos posy,
struct swaylock_effect_screen_pos posw,
struct swaylock_effect_screen_pos posh,
int gravity, char *imgpath) {
#if !HAVE_GDK_PIXBUF
(void)&blend_pixels;
(void)&screen_size_to_pix;
(void)&screen_pos_pair_to_pix;
swaylock_log(LOG_ERROR, "Compose effect: Compiled without gdk_pixbuf support.\n");
return;
#else
int imgw = screen_size_to_pix(posw, width, scale);
int imgh = screen_size_to_pix(posh, height, scale);
bool preserve_aspect = imgw < 0 || imgh < 0;
GError *err = NULL;
GdkPixbuf *pixbuf = gdk_pixbuf_new_from_file_at_scale(
imgpath, imgw, imgh, preserve_aspect, &err);
if (!pixbuf) {
swaylock_log(LOG_ERROR, "Compose effect: Failed to load image file '%s' (%s).",
imgpath, err->message);
g_error_free(err);
return;
}
cairo_surface_t *image = gdk_cairo_image_surface_create_from_pixbuf(pixbuf);
g_object_unref(pixbuf);
int bufw = cairo_image_surface_get_width(image);
int bufh = cairo_image_surface_get_height(image);
uint32_t *bufdata = (uint32_t *)cairo_image_surface_get_data(image);
int bufstride = cairo_image_surface_get_stride(image) / 4;
bool bufalpha = cairo_image_surface_get_format(image) == CAIRO_FORMAT_ARGB32;
int imgx, imgy;
screen_pos_pair_to_pix(
posx, posy, bufw, bufh,
width, height, scale, gravity,
&imgx, &imgy);
#pragma omp parallel for
for (int offy = 0; offy < bufh; ++offy) {
if (offy + imgy < 0 || offy + imgy > height)
continue;
for (int offx = 0; offx < bufw; ++offx) {
if (offx + imgx < 0 || offx + imgx > width)
continue;
size_t idx = (size_t)(offy + imgy) * width + (offx + imgx);
size_t bufidx = (size_t)offy * bufstride + (offx);
if (!bufalpha) {
data[idx] = bufdata[bufidx];
} else {
uint8_t alpha = (bufdata[bufidx] & 0xff000000) >> 24;
if (alpha == 255) {
data[idx] = bufdata[bufidx];
} else if (alpha != 0) {
data[idx] = blend_pixels(alpha / 255.0, bufdata[bufidx], data[idx]);
}
}
}
}
cairo_surface_destroy(image);
#endif
}
static void effect_custom_run(uint32_t *data, int width, int height, int scale,
char *path) {
void *dl = dlopen(path, RTLD_LAZY);
if (dl == NULL) {
swaylock_log(LOG_ERROR, "Custom effect: %s", dlerror());
return;
}
void (*effect_func)(uint32_t *data, int width, int height, int scale) =
dlsym(dl, "swaylock_effect");
if (effect_func != NULL) {
effect_func(data, width, height, scale);
dlclose(dl);
return;
}
uint32_t (*pixel_func)(uint32_t pix, int x, int y, int width, int height) =
dlsym(dl, "swaylock_pixel");
if (pixel_func != NULL) {
#pragma omp parallel for
for (int y = 0; y < height; ++y) {
for (int x = 0; x < width; ++x) {
data[y * width + x] =
pixel_func(data[y * width + x], x, y, width, height);
}
}
dlclose(dl);
return;
}
(void)dlsym(dl, "swaylock_effect"); // Change the result of dlerror()
swaylock_log(LOG_ERROR, "Custom effect: %s", dlerror());
}
static bool file_is_outdated(const char *input, const char *output) {
struct stat instat, outstat;
if (stat(input, &instat) < 0) {
return true;
}
if (stat(output, &outstat) < 0) {
return true;
}
if (instat.st_mtim.tv_sec > outstat.st_mtim.tv_sec) {
return true;
}
if (
instat.st_mtim.tv_sec == outstat.st_mtim.tv_sec &&
instat.st_mtim.tv_nsec >= outstat.st_mtim.tv_nsec) {
return true;
}
return false;
}
static char *effect_custom_compile(const char *path) {
static char *cachepath = NULL;
static size_t cachelen;
if (!cachepath) {
char *xdgdir = getenv("XDG_DATA_HOME");
if (xdgdir) {
cachepath = malloc(strlen(xdgdir) + strlen("/swaylock") + 1);
cachelen = sprintf(cachepath, "%s/swaylock", xdgdir);
} else {
char *homedir = getenv("HOME");
if (homedir == NULL) {
swaylock_log(LOG_ERROR,
"Can't compile custom effect; neither $HOME nor $XDG_CONFIG_HOME "
"is defined.");
return NULL;
}
cachepath = malloc(strlen(homedir) + strlen("/.cache/swaylock") + 1);
cachelen = sprintf(cachepath, "%s/.cache/swaylock", homedir);
}
if (mkdir(cachepath, 0777) < 0 && errno != EEXIST) {
swaylock_log(LOG_ERROR,
"Can't compile custom effect; mkdir %s failed: %s\n",
cachepath, strerror(errno));
free(cachepath);
cachepath = NULL;
return NULL;
}
}
// Find the true, absolute path of the input file
char *abspath = realpath(path, NULL);
size_t abspathlen = strlen(abspath);
char *outpath = malloc(cachelen + 1 + abspathlen + 3 + 1);
size_t outlen = sprintf(outpath, "%s/%s.so", cachepath, abspath);
// Sanitize
for (char *ch = outpath + cachelen + 1; ch < outpath + cachelen + 1 + abspathlen; ++ch) {
if (!(
(*ch >= 'a' && *ch <= 'z') ||
(*ch >= 'A' && *ch <= 'Z') ||
(*ch >= '0' && *ch <= '9') ||
(*ch == '.'))) {
*ch = '_';
}
}
if (!file_is_outdated(path, outpath)) {
free(abspath);
return outpath;
}
static const char *fmt = "cc -shared -g -O2 -march=native -fopenmp -o '%s' '%s' -lm";
char *cmd = malloc(strlen(fmt) + outlen - 2 + abspathlen - 2 + 1);
sprintf(cmd, fmt, outpath, abspath);
free(abspath);
fprintf(stderr, "Compiling custom effect: %s\n", cmd);
// Finally, compile.
int ret = system(cmd);
free(cmd);
if (ret != 0) {
if (ret == -1) {
swaylock_log(LOG_ERROR, "Custom effect: system(): %s", strerror(errno));
free(outpath);
return NULL;
} else {
swaylock_log(LOG_ERROR, "Custom effect compilation failed\n");
free(outpath);
return NULL;
}
}
return outpath;
}
static void effect_custom(uint32_t *data, int width, int height, int scale,
char *path) {
size_t pathlen = strlen(path);
if (pathlen > 3 && strcmp(path + pathlen - 3, ".so") == 0) {
effect_custom_run(data, width, height, scale, path);
} else if (pathlen > 2 && strcmp(path + pathlen - 2, ".c") == 0) {
char *compiled = effect_custom_compile(path);
if (compiled != NULL) {
effect_custom_run(data, width, height, scale, compiled);
free(compiled);
}
} else {
swaylock_log(
LOG_ERROR, "%s: Unknown file type for custom effect (expected .c or .so)",
path);
}
}
static cairo_surface_t *run_effect(cairo_surface_t *surface, int scale,
struct swaylock_effect *effect) {
switch (effect->tag) {
case EFFECT_BLUR: {
cairo_surface_t *surf = cairo_image_surface_create(
CAIRO_FORMAT_RGB24,
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface));
if (cairo_surface_status(surf) != CAIRO_STATUS_SUCCESS) {
swaylock_log(LOG_ERROR, "Failed to create surface for blur effect");
cairo_surface_destroy(surf);
break;
}
effect_blur(
(uint32_t *)cairo_image_surface_get_data(surf),
(uint32_t *)cairo_image_surface_get_data(surface),
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface),
scale,
effect->e.blur.radius, effect->e.blur.times);
cairo_surface_flush(surf);
cairo_surface_destroy(surface);
surface = surf;
break;
}
case EFFECT_PIXELATE: {
effect_pixelate(
(uint32_t *)cairo_image_surface_get_data(surface),
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface),
scale,
effect->e.pixelate.factor);
cairo_surface_flush(surface);
break;
}
case EFFECT_SCALE: {
cairo_surface_t *surf = cairo_image_surface_create(
CAIRO_FORMAT_RGB24,
cairo_image_surface_get_width(surface) * effect->e.scale,
cairo_image_surface_get_height(surface) * effect->e.scale);
if (cairo_surface_status(surf) != CAIRO_STATUS_SUCCESS) {
swaylock_log(LOG_ERROR, "Failed to create surface for scale effect");
cairo_surface_destroy(surf);
break;
}
effect_scale(
(uint32_t *)cairo_image_surface_get_data(surf),
(uint32_t *)cairo_image_surface_get_data(surface),
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface),
effect->e.scale);
cairo_surface_flush(surf);
cairo_surface_destroy(surface);
surface = surf;
break;
}
case EFFECT_GREYSCALE: {
effect_greyscale(
(uint32_t *)cairo_image_surface_get_data(surface),
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface));
cairo_surface_flush(surface);
break;
}
case EFFECT_VIGNETTE: {
effect_vignette(
(uint32_t *)cairo_image_surface_get_data(surface),
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface),
effect->e.vignette.base,
effect->e.vignette.factor);
cairo_surface_flush(surface);
break;
}
case EFFECT_COMPOSE: {
effect_compose(
(uint32_t *)cairo_image_surface_get_data(surface),
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface),
scale,
effect->e.compose.x, effect->e.compose.y,
effect->e.compose.w, effect->e.compose.h,
effect->e.compose.gravity, effect->e.compose.imgpath);
cairo_surface_flush(surface);
break;
}
case EFFECT_CUSTOM: {
effect_custom(
(uint32_t *)cairo_image_surface_get_data(surface),
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface),
scale,
effect->e.custom);
cairo_surface_flush(surface);
break;
} }
return surface;
}
static cairo_surface_t *ensure_format(cairo_surface_t *surface) {
if (cairo_image_surface_get_format(surface) == CAIRO_FORMAT_RGB24) {
return surface;
}
swaylock_log(LOG_DEBUG, "Have to convert surface to CAIRO_FORMAT_RGB24 from %i.",
(int)cairo_image_surface_get_format(surface));
cairo_surface_t *surf = cairo_image_surface_create(
CAIRO_FORMAT_RGB24,
cairo_image_surface_get_width(surface),
cairo_image_surface_get_height(surface));
if (cairo_surface_status(surf) != CAIRO_STATUS_SUCCESS) {
swaylock_log(LOG_ERROR, "Failed to create surface for scale effect");
cairo_surface_destroy(surf);
return NULL;
}
memcpy(
cairo_image_surface_get_data(surf),
cairo_image_surface_get_data(surface),
cairo_image_surface_get_stride(surface) * cairo_image_surface_get_height(surface));
cairo_surface_destroy(surface);
return surf;
}
cairo_surface_t *swaylock_effects_run(cairo_surface_t *surface, int scale,
struct swaylock_effect *effects, int count) {
surface = ensure_format(surface);
if (surface == NULL) return NULL;
for (int i = 0; i < count; ++i) {
struct swaylock_effect *effect = &effects[i];
surface = run_effect(surface, scale, effect);
}
return surface;
}
#define TIME_MSEC(tv) ((tv).tv_sec * 1000.0 + (tv).tv_nsec / 1000000.0)
#define TIME_DELTA(first, last) (TIME_MSEC(last) - TIME_MSEC(first))
cairo_surface_t *swaylock_effects_run_timed(cairo_surface_t *surface, int scale,
struct swaylock_effect *effects, int count) {
struct timespec start_tv;
clock_gettime(CLOCK_MONOTONIC, &start_tv);
surface = ensure_format(surface);
if (surface == NULL) return NULL;
fprintf(stderr, "Running %i effects:\n", count);
for (int i = 0; i < count; ++i) {
struct timespec effect_start_tv;
clock_gettime(CLOCK_MONOTONIC, &effect_start_tv);
struct swaylock_effect *effect = &effects[i];
surface = run_effect(surface, scale, effect);
struct timespec effect_end_tv;
clock_gettime(CLOCK_MONOTONIC, &effect_end_tv);
fprintf(stderr, " %s: %fms\n", effect_name(effect),
TIME_DELTA(effect_start_tv, effect_end_tv));
}
struct timespec end_tv;
clock_gettime(CLOCK_MONOTONIC, &end_tv);
fprintf(stderr, "Effects took %fms.\n", TIME_DELTA(start_tv, end_tv));
return surface;
}
|
CCPiLabelQuantificationITKImpl.h | /**
* This is an Label Quantification ITK/VTK implementation. This is an wrapper which calls
* CCPiQuantification3D class to perform the quantification. This call will manage the
* Threads to process all the data.
*
* Author: Mr. Srikanth Nagella
* Date: 10.07.2014
*/
#ifndef CCPILABELQUANTIFICATIONITKIMPL_H
#define CCPILABELQUANTIFICATIONITKIMPL_H
#include "CCPiImageData.h"
#include "CCPiUserApplicationInterface.h"
#include "CCPiLabelQuantificationResult.h"
#ifdef _OPENMP
#include "omp.h"
#endif
#include "Quan3D.hpp"
#include "QuanWorker.hpp"
template<class T>
class CCPiLabelQuantificationITKImpl
{
public:
CCPiLabelQuantificationITKImpl(CCPiImageData<T>* data, CCPiUserApplicationInterface *userAppInterface, float origin[3], long volumeDims[3], float voxelSize[3], float min,float max,float minFeatureSize, int vtkDataType);
CCPiLabelQuantificationITKImpl(const CCPiLabelQuantificationITKImpl<T> &);
~CCPiLabelQuantificationITKImpl();
void Compute();
CCPiLabelQuantificationResult* GetOutput();
private:
CCPiImageData<T>* ImageData;
int VolumeDims[3];
float VoxelSize[3];
float Origin[3];
float MinDataValue;
float MaxDataValue;
float MinFeatureSize;
int VtkDataType;
CCPiLabelQuantificationResult* Result;
CCPiUserApplicationInterface *UserAppInterface;
// Create the controller class for calculations
CCPiQuantification3D<T> quan3D;
};
template <class T>
CCPiLabelQuantificationITKImpl<T>::CCPiLabelQuantificationITKImpl(CCPiImageData<T>* data, CCPiUserApplicationInterface *userAppInterface, float origin[3], long dims[3], float vsize[3], float min,float max, float minFeatureSize, int vtkDataType)
{
ImageData = data;
VolumeDims[0] = dims[0]; VolumeDims[1]=dims[1]; VolumeDims[2] = dims[2];
VoxelSize[0] = vsize[0]; VoxelSize[1] = vsize[1]; VoxelSize[2] = vsize[2];
Origin[0] = origin[0]; Origin[1] = origin[1]; Origin[2] = origin[2];
MinDataValue = min;
MaxDataValue = max;
MinFeatureSize = minFeatureSize;
VtkDataType = vtkDataType;
UserAppInterface = userAppInterface;
}
template <class T>
CCPiLabelQuantificationITKImpl<T>::CCPiLabelQuantificationITKImpl(const CCPiLabelQuantificationITKImpl<T> &input)
{
this->ImageData = input.ImageData;
this->VolumeDims[0] = input.VolumeDims[0]; this->VolumeDims[1]=input.VolumeDims[1]; this->VolumeDims[2] = input.VolumeDims[2];
this->VoxelSize[0] = input.VoxelSize[0]; this->VoxelSize[1] = input.VoxelSize[1]; this->VoxelSize[2] = input.VoxelSize[2];
this->Origin[0] = input.Origin[0]; this->Origin[1] = input.Origin[1]; this->Origin[2] = input.Origin[2];
this->MinDataValue = input.MinDataValue;
this->MaxDataValue = input.MaxDataValue;
this->MinFeatureSize = input.MinFeatureSize;
this->VtkDataType = input.VtkDataType;
this->UserAppInterface = input.UserAppInterface;
}
template <class T>
CCPiLabelQuantificationITKImpl<T>::~CCPiLabelQuantificationITKImpl()
{
}
template <class T>
void CCPiLabelQuantificationITKImpl<T>::Compute()
{
UserAppInterface->SetProgressValue( 0.01 );
UserAppInterface->SetStatusMessage("Initialising...");
// Initialise the controller
quan3D.Initialise(ImageData->GetImage(), VolumeDims, 1,
VtkDataType, Origin, VoxelSize,
MinDataValue, MaxDataValue);
quan3D.SetMinFeatureSize(MinFeatureSize);
quan3D.CreateVoxelIndexList();
quan3D.PrepareForQuantification();
quan3D.PrintSummaryData();
int totalVoxels = quan3D.GetNumVoxelValues(), n = 0;
#pragma omp parallel for schedule(dynamic)
for(int i = 0; i < totalVoxels; i++) {
CCPiQuantificationWorker<T> *worker = NULL;
// Do the real work
#pragma omp critical(nextworker)
{
worker = quan3D.GetNextWorker();
}
if (worker != NULL) {
if (0 == worker->Run()) {
#pragma omp critical(writefile)
{
quan3D.SetQuantificationResultByWorker(worker->GetId(),worker->GetQuantificationResult());
}
}
delete worker;
}
#pragma omp atomic
n++;
#ifdef _OPENMP
if (omp_get_thread_num() == 0)
#endif
{
UserAppInterface->SetProgressValue( (float)n/(float)totalVoxels );
UserAppInterface->SetStatusMessage("Quantification underway");
}
}
UserAppInterface->SetStatusMessage("Quantification complete");
Result = quan3D.GetQuantificationResult();
}
template <class T>
CCPiLabelQuantificationResult* CCPiLabelQuantificationITKImpl<T>::GetOutput()
{
return Result;
}
#endif |
GB_binop__land_int8.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__land_int8)
// A.*B function (eWiseMult): GB (_AemultB_01__land_int8)
// A.*B function (eWiseMult): GB (_AemultB_02__land_int8)
// A.*B function (eWiseMult): GB (_AemultB_03__land_int8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__land_int8)
// A*D function (colscale): GB (_AxD__land_int8)
// D*A function (rowscale): GB (_DxB__land_int8)
// C+=B function (dense accum): GB (_Cdense_accumB__land_int8)
// C+=b function (dense accum): GB (_Cdense_accumb__land_int8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__land_int8)
// C=scalar+B GB (_bind1st__land_int8)
// C=scalar+B' GB (_bind1st_tran__land_int8)
// C=A+scalar GB (_bind2nd__land_int8)
// C=A'+scalar GB (_bind2nd_tran__land_int8)
// C type: int8_t
// A type: int8_t
// B,b type: int8_t
// BinaryOp: cij = ((aij != 0) && (bij != 0))
#define GB_ATYPE \
int8_t
#define GB_BTYPE \
int8_t
#define GB_CTYPE \
int8_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) \
int8_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int8_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int8_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_INT8 || GxB_NO_LAND_INT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__land_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__land_int8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#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_int8)
(
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 int8_t
int8_t bwork = (*((int8_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_int8)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_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_int8)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__land_int8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__land_int8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__land_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__land_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__land_int8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__land_int8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *Cx = (int8_t *) Cx_output ;
int8_t x = (*((int8_t *) x_input)) ;
int8_t *Bx = (int8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int8_t bij = GBX (Bx, p, false) ;
Cx [p] = ((x != 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_int8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int8_t *Cx = (int8_t *) Cx_output ;
int8_t *Ax = (int8_t *) Ax_input ;
int8_t y = (*((int8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int8_t aij = GBX (Ax, p, false) ;
Cx [p] = ((aij != 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) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ((x != 0) && (aij != 0)) ; \
}
GrB_Info GB (_bind1st_tran__land_int8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t x = (*((const int8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ((aij != 0) && (y != 0)) ; \
}
GrB_Info GB (_bind2nd_tran__land_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t y = (*((const int8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
12_omp_correlate.c | // clang-format off
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %apply-typeart -typeart-alloca -call-filter -typeart-filter-pointer-alloca=false -S 2>&1 | %filecheck %s
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %opt -O2 -S | %apply-typeart -typeart-alloca -call-filter -typeart-filter-pointer-alloca=false -S 2>&1 | %filecheck %s --check-prefix=CHECK-opt
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %opt -O2 -S | %apply-typeart -typeart-alloca -call-filter -call-filter-impl=cg -call-filter-cg-file=%p/05_cg.ipcg -typeart-filter-pointer-alloca=false -S 2>&1 | %filecheck %s --check-prefix=CHECK-exp-cg
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %apply-typeart -typeart-alloca -call-filter -typeart-filter-pointer-alloca=false -S | %filecheck %s --check-prefix=check-inst
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %opt -O2 -S | %apply-typeart -typeart-alloca -call-filter -typeart-filter-pointer-alloca=false -S | %filecheck %s --check-prefix=check-inst
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %opt -O2 -S | %apply-typeart -typeart-alloca -call-filter -call-filter-impl=cg -call-filter-cg-file=%p/05_cg.ipcg -typeart-filter-pointer-alloca=false -S | %filecheck %s --check-prefix=check-inst
// REQUIRES: openmp
// clang-format on
#include "omp.h"
extern void MPI_Mock(int, int, int);
extern void MPI_Send(void*, int);
void foo() {
int a = 0;
int b = 1;
int c = 2;
// check-inst: define {{.*}} @foo
// check-inst: %d = alloca
// check-inst: %0 = bitcast i32* %d to i8*
// check-inst: call void @__typeart_alloc_stack(i8* %0, i32 2, i64 1)
// check-inst-not: __typeart_alloc_stack_omp
int d = 3;
int e = 4;
#pragma omp parallel
{
// no (void*), so we assume benign (with deep analysis)
MPI_Mock(a, b, c);
// Analysis should not filter d, but e...
MPI_Send((void*)d, e);
}
}
// Standard filter
// CHECK: > Stack Memory
// CHECK-NEXT: Alloca : 12.00
// CHECK-NEXT: Stack call filtered % : 91.67
// with opt only "d" in foo is tracked
// CHECK-opt: > Stack Memory
// CHECK-opt-NEXT: Alloca : 5.00
// CHECK-opt-NEXT: Stack call filtered % : 80.00
// CG experimental filter
// CHECK-exp-cg: > Stack Memory
// CHECK-exp-cg-NEXT: Alloca : 5.00
// CHECK-exp-cg-NEXT: Stack call filtered % : 80.00 |
ompprag1.c | #define N 10
int a[N];
int main() {
int i;
#pragma omp parallel for
for (i=0; i<N; i++)
a[i]=i;
}
|
center_arm.h | #include "util_arm.h"
#include <cstddef>
void inplace_center_and_trace_atom_major(float* coords, float* traces, const int n_frames, const int n_atoms)
{
/* Center a trajectory containing multiple conformations inplace.
The coordinates are store in float, but the accumulation is done in
double.
Also compute the traces of the centered conformations, which are necessary
for RMSD.
*/
long long i, k;
float* confp;
float64x2_t sx_, sy_, sz_, trace_;
float32x4_t mux_, muy_, muz_;
float sxf, syf, szf;
double sx, sy, sz, trace;
float32x4x3_t xyz;
float32x4x3_t xyz2;
#ifdef _OPENMP
#pragma omp parallel for shared(coords, traces) \
private(sx_, sy_, sz_, trace_, mux_, muy_, muz_, sxf, syf, szf, \
confp, i, xyz, xyz2, sx, sy, sz, trace)
#endif
for (k = 0; k < n_frames; k++) {
confp = &coords[k * n_atoms * 3];
sx_ = sy_ = sz_ = trace_ = vdupq_n_f64(0);
for (i = 0; i < n_atoms/4; i++) {
xyz = aos_deinterleaved_load(confp);
/* accumulate the sums of each coordinate in double */
/* get the first two values from each float4 */
sx_ = vaddq_f64(sx_, vcvt_f64_f32(vget_low_f32(xyz.val[0])));
sy_ = vaddq_f64(sy_, vcvt_f64_f32(vget_low_f32(xyz.val[1])));
sz_ = vaddq_f64(sz_, vcvt_f64_f32(vget_low_f32(xyz.val[2])));
/* and the second two values from each float4 */
sx_ = vaddq_f64(sx_, vcvt_f64_f32(vget_high_f32(xyz.val[0])));
sy_ = vaddq_f64(sy_, vcvt_f64_f32(vget_high_f32(xyz.val[1])));
sz_ = vaddq_f64(sz_, vcvt_f64_f32(vget_high_f32(xyz.val[2])));
confp += 12;
}
/* copy the summed coordinates out of the SSE registers */
sx = vgetq_lane_f64(sx_, 0) + vgetq_lane_f64(sx_, 1);
sy = vgetq_lane_f64(sy_, 0) + vgetq_lane_f64(sy_, 1);
sz = vgetq_lane_f64(sz_, 0) + vgetq_lane_f64(sz_, 1);
/* Add the last couple entries that weren't a factor of four */
for (i = 0; i < n_atoms % 4; i++) {
sx += confp[i*3 + 0];
sy += confp[i*3 + 1];
sz += confp[i*3 + 2];
}
/* Now we want mean x, y, and z positions */
sx /= n_atoms;
sy /= n_atoms;
sz /= n_atoms;
/* Load these mean positions back into the SSE registers */
sxf = (float) sx;
syf = (float) sy;
szf = (float) sz;
mux_ = vld1q_dup_f32(&sxf);
muy_ = vld1q_dup_f32(&syf);
muz_ = vld1q_dup_f32(&szf);
/* And subtract them out */
confp = &coords[k * n_atoms * 3];
for (i = 0; i < n_atoms/4; i++) {
xyz = aos_deinterleaved_load(confp);
xyz.val[0] = vsubq_f32(xyz.val[0], mux_);
xyz.val[1] = vsubq_f32(xyz.val[1], muy_);
xyz.val[2] = vsubq_f32(xyz.val[2], muz_);
xyz2.val[0] = vmulq_f32(xyz.val[0], xyz.val[0]);
xyz2.val[1] = vmulq_f32(xyz.val[1], xyz.val[1]);
xyz2.val[2] = vmulq_f32(xyz.val[2], xyz.val[2]);
trace_ = vaddq_f64(trace_, vcvt_f64_f32(vget_low_f32(xyz2.val[0])));
trace_ = vaddq_f64(trace_, vcvt_f64_f32(vget_low_f32(xyz2.val[1])));
trace_ = vaddq_f64(trace_, vcvt_f64_f32(vget_low_f32(xyz2.val[2])));
trace_ = vaddq_f64(trace_, vcvt_f64_f32(vget_high_f32(xyz2.val[0])));
trace_ = vaddq_f64(trace_, vcvt_f64_f32(vget_high_f32(xyz2.val[1])));
trace_ = vaddq_f64(trace_, vcvt_f64_f32(vget_high_f32(xyz2.val[2])));
aos_interleaved_store(confp, xyz.val[0], xyz.val[1], xyz.val[2]);
confp += 12;
}
trace = vgetq_lane_f64(trace_, 0) + vgetq_lane_f64(trace_, 1);
for (i = 0; i < n_atoms % 4; i++) {
confp[i*3 + 0] -= sxf;
confp[i*3 + 1] -= syf;
confp[i*3 + 2] -= szf;
trace += confp[i*3 + 0]*confp[i*3 + 0];
trace += confp[i*3 + 1]*confp[i*3 + 1];
trace += confp[i*3 + 2]*confp[i*3 + 2];
}
if (traces != NULL)
traces[k] = (float) trace;
}
}
|
ompPrivate.c |
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main(int argc, char **argv){
int threadCount = 20;
omp_set_num_threads(threadCount);
// still serial here
int i = 6;
int *v = (int*) calloc(threadCount, sizeof(int));
int veryBad = 0;
// fork the program
#pragma omp parallel firstprivate(i)
{
// stuff in this scope gets executed by all OpenMP threads
int rank = omp_get_thread_num();
int size = omp_get_num_threads();
i = i + rank;
// good parallel
#pragma omp critical
{
// force threads to take turn based on rank
v[rank] = rank;
// printf("v[%d]=%d\n", rank, v[rank]);
veryBad += rank;
printf("veryBad = %d (from rank %d)\n",
veryBad, rank);
printf("i=%d\n", i);
}
}
printf("veryBad = %d\n", veryBad);
exit(0);
return 0;
}
|
neon.h | #include <arm_neon.h>
#include <cassert>
#include "../../context.h"
#include "../../lsc.h"
#include "../../parallel.h"
inline void get_assignment_value_vec(
const Cluster* cluster,
const uint8_t* img_quad_row, const uint16_t* spatial_dist_patch_row,
const uint16_t* min_dist_row, const uint16_t* assignment_row,
uint16x8_t cluster_number_vec, uint8x16_t cluster_color_vec,
uint16x8_t& new_min_dist, uint16x8_t& new_assignment
) {
uint16x8_t spatial_dist_vec = vld1q_u16(spatial_dist_patch_row);
uint8x16_t image_segment = vld1q_u8(img_quad_row);
uint8x16_t image_segment_2 = vld1q_u8(img_quad_row + 16);
uint8x16_t abs_segment = vabdq_u8(image_segment, cluster_color_vec);
uint8x16_t abs_segment_2 = vabdq_u8(image_segment_2, cluster_color_vec);
uint32x4_t sad_segment = vpaddlq_u16(vpaddlq_u8(abs_segment));
uint32x4_t sad_segment_2 = vpaddlq_u16(vpaddlq_u8(abs_segment_2));
uint16x8_t color_dist_vec = vcombine_u16(vmovn_u32(sad_segment), vmovn_u32(sad_segment_2));
uint16x8_t dist_vec = vaddq_u16(color_dist_vec, spatial_dist_vec);
uint16x8_t old_assignment = vld1q_u16(assignment_row);
uint16x8_t old_min_dist = vld1q_u16(min_dist_row);
new_min_dist = vminq_u16(old_min_dist, dist_vec);
// 0xFFFF if a[i+15:i] == b[i+15:i], 0x0000 otherwise.
uint16x8_t mask = vceqq_u16(old_min_dist, new_min_dist);
// if mask[i+15:i] is not zero, choose a[i+15:i], otherwise choose b[i+15:i]
new_assignment = vbslq_u16(mask, old_assignment, cluster_number_vec);
}
namespace fslic {
class Context_ARM_NEON : public ContextSIMD {
using ContextSIMD::ContextSIMD;
virtual void assign_clusters(const Cluster **target_clusters, int size) {
for (int cidx = 0; cidx < size; cidx++) {
const Cluster *cluster = target_clusters[cidx];
uint16_t cluster_number = cluster->number;
const uint16_t patch_width = spatial_dist_patch.get_width();
const uint16_t patch_width_multiple8 = patch_width & 0xFFF8;
const int16_t cluster_y = cluster->y, cluster_x = cluster->x;
const int16_t y_lo = cluster_y - S, x_lo = cluster_x - S;
uint16x8_t cluster_number_vec = {
cluster_number,
cluster_number,
cluster_number,
cluster_number,
cluster_number,
cluster_number,
cluster_number,
cluster_number
};
uint8x16_t cluster_color_vec = {
(uint8_t)cluster->r,
(uint8_t)cluster->g,
(uint8_t)cluster->b,
0,
(uint8_t)cluster->r,
(uint8_t)cluster->g,
(uint8_t)cluster->b,
0,
(uint8_t)cluster->r,
(uint8_t)cluster->g,
(uint8_t)cluster->b,
0,
(uint8_t)cluster->r,
(uint8_t)cluster->g,
(uint8_t)cluster->b,
0
};
int16_t patch_height = spatial_dist_patch.get_height();
for (int16_t i = fit_to_stride(y_lo) - y_lo; i < patch_height; i += subsample_stride) {
const uint16_t* spatial_dist_patch_base_row = spatial_dist_patch.get_row(i);
const uint8_t *img_quad_base_row = quad_image.get_row(y_lo + i, 4 * x_lo);
uint16_t* assignment_base_row = assignment.get_row(i + y_lo, x_lo);
uint16_t* min_dist_base_row = min_dists.get_row(i + y_lo, x_lo);
#define ASSIGNMENT_VALUE_GETTER_BODY \
uint16x8_t new_min_dist, new_assignment; \
uint16_t* min_dist_row = min_dist_base_row + j; /* unaligned */ \
uint16_t* assignment_row = assignment_base_row + j; /* unaligned */ \
const uint8_t* img_quad_row = img_quad_base_row + 4 * j; /*Image rows are not aligned due to x_lo*/ \
const uint16_t* spatial_dist_patch_row = (uint16_t *)HINT_ALIGNED_AS(spatial_dist_patch_base_row + j, 16); /* Spatial distance patch is aligned */ \
get_assignment_value_vec( \
cluster, \
img_quad_row, \
spatial_dist_patch_row, \
min_dist_row, \
assignment_row, \
cluster_number_vec, \
cluster_color_vec, \
new_min_dist, \
new_assignment \
);
// (16 + 16)(batch size) / 4(rgba quad) = stride 8
for (int j = 0; j < patch_width_multiple8; j += 8) {
ASSIGNMENT_VALUE_GETTER_BODY
vst1q_u16(min_dist_row, new_min_dist);
vst1q_u16(assignment_row, new_assignment);
}
if (0 < patch_width - patch_width_multiple8) {
int j = patch_width_multiple8;
int rem = patch_width - patch_width_multiple8;
ASSIGNMENT_VALUE_GETTER_BODY
uint16x4_t dist_4, assignment_4;
if (rem >= 4) {
vst1_u16(&min_dist_base_row[j], vget_low_u16(new_min_dist));
vst1_u16(&assignment_base_row[j], vget_low_u16(new_assignment));
rem -= 4;
j += 4;
dist_4 = vget_high_u16(new_min_dist);
assignment_4 = vget_high_u16(new_assignment);
} else {
dist_4 = vget_low_u16(new_min_dist);
assignment_4 = vget_low_u16(new_assignment);
}
switch (rem) {
case 3:
min_dist_base_row[j] = dist_4[0];
assignment_base_row[j] = assignment_4[0];
min_dist_base_row[j+1] = dist_4[1];
assignment_base_row[j+1] = assignment_4[1];
min_dist_base_row[j+2] = dist_4[2];
assignment_base_row[j+2] = assignment_4[2];
break;
case 2:
min_dist_base_row[j] = dist_4[0];
assignment_base_row[j] = assignment_4[0];
min_dist_base_row[j+1] = dist_4[1];
assignment_base_row[j+1] = assignment_4[1];
break;
case 1:
min_dist_base_row[j] = dist_4[0];
assignment_base_row[j] = assignment_4[0];
break;
}
}
}
}
}
};
inline float32x4_t _float32x4_set1(float v) {
float32x4_t result = {v, v, v, v};
return result;
}
class ContextLSC_ARM_NEON : public ContextLSC {
public:
using ContextLSC::ContextLSC;
protected:
virtual void assign_clusters(const Cluster **target_clusters, int size) {
const float* __restrict img_feats[10];
const float* __restrict centroid_feats[10];
for (int i = 0; i < 10; i++) {
img_feats[i] = &image_features[i][0];
centroid_feats[i] = ¢roid_features[i][0];
}
for (int cidx = 0; cidx < size; cidx++) {
const Cluster* cluster = target_clusters[cidx];
int cluster_y = cluster->y, cluster_x = cluster->x;
uint16_t cluster_no = cluster->number;
int y_lo = my_max<int>(cluster_y - S, 0), y_hi = my_min<int>(cluster_y + S + 1, H);
int x_lo = my_max<int>(cluster_x - S, 0), x_hi = my_min<int>(cluster_x + S + 1, W);
uint16x4_t cluster_number_vec = {cluster_no, cluster_no, cluster_no, cluster_no};
float32x4_t c_0 = _float32x4_set1(centroid_feats[0][cluster_no]);
float32x4_t c_1 = _float32x4_set1(centroid_feats[1][cluster_no]);
float32x4_t c_2 = _float32x4_set1(centroid_feats[2][cluster_no]);
float32x4_t c_3 = _float32x4_set1(centroid_feats[3][cluster_no]);
float32x4_t c_4 = _float32x4_set1(centroid_feats[4][cluster_no]);
float32x4_t c_5 = _float32x4_set1(centroid_feats[5][cluster_no]);
float32x4_t c_6 = _float32x4_set1(centroid_feats[6][cluster_no]);
float32x4_t c_7 = _float32x4_set1(centroid_feats[7][cluster_no]);
float32x4_t c_8 = _float32x4_set1(centroid_feats[8][cluster_no]);
float32x4_t c_9 = _float32x4_set1(centroid_feats[9][cluster_no]);
for (int i = y_lo; i < y_hi; i++) {
if (!valid_subsample_row(i)) continue;
for (int j = x_lo; j < x_hi; j += 4) {
float* __restrict min_dist_row = min_dists.get_row(i, j);
uint16_t* __restrict assignment_row = assignment.get_row(i, j);
int index = W * i + j;
float32x4_t f_0 = vld1q_f32(&img_feats[0][index]);
float32x4_t d_0 = vsubq_f32(f_0, c_0);
float32x4_t f_1 = vld1q_f32(&img_feats[1][index]);
float32x4_t d_1 = vsubq_f32(f_1, c_1);
float32x4_t f_2 = vld1q_f32(&img_feats[2][index]);
float32x4_t d_2 = vsubq_f32(f_2, c_2);
float32x4_t f_3 = vld1q_f32(&img_feats[3][index]);
float32x4_t d_3 = vsubq_f32(f_3, c_3);
float32x4_t f_4 = vld1q_f32(&img_feats[4][index]);
float32x4_t d_4 = vsubq_f32(f_4, c_4);
float32x4_t f_5 = vld1q_f32(&img_feats[5][index]);
float32x4_t d_5 = vsubq_f32(f_5, c_5);
float32x4_t f_6 = vld1q_f32(&img_feats[6][index]);
float32x4_t d_6 = vsubq_f32(f_6, c_6);
float32x4_t f_7 = vld1q_f32(&img_feats[7][index]);
float32x4_t d_7 = vsubq_f32(f_7, c_7);
float32x4_t f_8 = vld1q_f32(&img_feats[8][index]);
float32x4_t d_8 = vsubq_f32(f_8, c_8);
float32x4_t f_9 = vld1q_f32(&img_feats[9][index]);
float32x4_t d_9 = vsubq_f32(f_9, c_9);
float32x4_t dist_vec = vmulq_f32(d_0, d_0);
dist_vec = vmlaq_f32(dist_vec, d_1, d_1);
dist_vec = vmlaq_f32(dist_vec, d_2, d_2);
dist_vec = vmlaq_f32(dist_vec, d_3, d_3);
dist_vec = vmlaq_f32(dist_vec, d_4, d_4);
dist_vec = vmlaq_f32(dist_vec, d_4, d_4);
dist_vec = vmlaq_f32(dist_vec, d_5, d_5);
dist_vec = vmlaq_f32(dist_vec, d_6, d_6);
dist_vec = vmlaq_f32(dist_vec, d_7, d_7);
dist_vec = vmlaq_f32(dist_vec, d_8, d_8);
dist_vec = vmlaq_f32(dist_vec, d_9, d_9);
float32x4_t old_min_dist = vld1q_f32(min_dist_row);
uint16x4_t old_assignment = vld1_u16(assignment_row);
float32x4_t new_min_dist = vminq_f32(old_min_dist, dist_vec);
// 0xFFFF if a[i+15:i] == b[i+15:i], 0x0000 otherwise.
uint16x4_t mask = vmovn_u32(vceqq_f32(old_min_dist, new_min_dist));
// if mask[i+15:i] is not zero, choose a[i+15:i], otherwise choose b[i+15:i]
uint16x4_t new_assignment = vbsl_u16(mask, old_assignment, cluster_number_vec);
int rem = x_hi - j;
if (rem >= 4) {
vst1_u16(assignment_row, new_assignment);
vst1q_f32(min_dist_row, new_min_dist);
} else {
uint16_t arr_assignment[4];
float arr_dist[4];
vst1_u16(arr_assignment, new_assignment);
vst1q_f32(arr_dist, new_min_dist);
for (int delta = 0; delta < rem; delta++) {
assignment_row[delta] = arr_assignment[delta];
min_dist_row[delta] = arr_dist[delta];
}
}
}
}
}
}
virtual void normalize_features(float * __restrict numers[10], float* __restrict weights, int size) {
#pragma omp parallel for num_threads(fsparallel::nth())
for (int i = 0; i < size; i += 4) {
float32x4_t reciprocal_w = vrecpeq_f32(vld1q_f32(&weights[i]));
vst1q_f32(&numers[0][i], vmulq_f32(vld1q_f32(&numers[0][i]), reciprocal_w));
vst1q_f32(&numers[1][i], vmulq_f32(vld1q_f32(&numers[1][i]), reciprocal_w));
vst1q_f32(&numers[2][i], vmulq_f32(vld1q_f32(&numers[2][i]), reciprocal_w));
vst1q_f32(&numers[3][i], vmulq_f32(vld1q_f32(&numers[3][i]), reciprocal_w));
vst1q_f32(&numers[4][i], vmulq_f32(vld1q_f32(&numers[4][i]), reciprocal_w));
vst1q_f32(&numers[5][i], vmulq_f32(vld1q_f32(&numers[5][i]), reciprocal_w));
vst1q_f32(&numers[6][i], vmulq_f32(vld1q_f32(&numers[6][i]), reciprocal_w));
vst1q_f32(&numers[7][i], vmulq_f32(vld1q_f32(&numers[7][i]), reciprocal_w));
vst1q_f32(&numers[8][i], vmulq_f32(vld1q_f32(&numers[8][i]), reciprocal_w));
vst1q_f32(&numers[9][i], vmulq_f32(vld1q_f32(&numers[9][i]), reciprocal_w));
}
}
};
};
|
im2col_dnnlowp.h | #pragma once
#ifdef _OPENMP
#include <omp.h>
#endif
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
#include "caffe2/utils/math/utils.h"
namespace caffe2 {
namespace math {
template <typename T>
static void Im2ColNCHW(
const int channels,
const int height,
const int width,
const int kernel_h,
const int kernel_w,
const int dilation_h,
const int dilation_w,
const int pad_t,
const int pad_l,
const int pad_b,
const int pad_r,
const int stride_h,
const int stride_w,
const T* data_im,
T* data_col,
CPUContext* /*context*/,
const T& zero_point = 0) {
const int output_h =
(height + pad_b + pad_t - (dilation_h * (kernel_h - 1) + 1)) / stride_h +
1;
const int output_w =
(width + pad_l + pad_r - (dilation_w * (kernel_w - 1) + 1)) / stride_w +
1;
// Fast path for zero padding and no dilation
// From Torch, THNN_(unfolded_copy)
if (dilation_h == 1 && dilation_w == 1 && pad_l == 0 && pad_r == 0 &&
pad_t == 0 && pad_b == 0) {
for (auto k = 0; k < channels * kernel_h * kernel_w; k++) {
const auto nip = k / (kernel_h * kernel_w);
const auto rest = k % (kernel_h * kernel_w);
const auto kh = rest / kernel_w;
const auto kw = rest % kernel_w;
auto* dst = data_col + nip * (kernel_h * kernel_w * output_h * output_w) +
kh * (kernel_w * output_h * output_w) + kw * (output_h * output_w);
const auto* src = data_im + nip * (height * width);
for (const auto y : c10::irange(output_h)) {
const auto iy = y * stride_h + kh;
const auto ix = kw;
if (stride_w == 1) {
memcpy(
dst + (y * output_w),
src + (iy * width + ix),
sizeof(T) * output_w);
} else {
for (const auto x : c10::irange(output_w)) {
memcpy(
dst + (y * output_w + x),
src + (iy * width + ix + x * stride_w),
sizeof(T));
}
}
}
}
return;
}
// Fast path for equal padding
if (pad_l == pad_r && pad_t == pad_b) {
// From Intel, https://github.com/BVLC/caffe/pull/3536
const int pad_h = pad_t;
const int pad_w = pad_l;
const int channel_size = height * width;
for (int channel = channels; channel--; data_im += channel_size) {
for (const auto kernel_row : c10::irange(kernel_h)) {
for (const auto kernel_col : c10::irange(kernel_w)) {
int input_row = -pad_h + kernel_row * dilation_h;
for (int output_rows = output_h; output_rows; output_rows--) {
if (!utils::IsAGeZeroAndALtB(input_row, height)) {
for (int output_cols = output_w; output_cols; output_cols--) {
*(data_col++) = zero_point;
}
} else {
int input_col = -pad_w + kernel_col * dilation_w;
for (int output_col = output_w; output_col; output_col--) {
if (utils::IsAGeZeroAndALtB(input_col, width)) {
*(data_col++) = data_im[input_row * width + input_col];
} else {
*(data_col++) = zero_point;
}
input_col += stride_w;
}
}
input_row += stride_h;
}
}
}
}
return;
}
// Baseline
const int dkernel_h = dilation_h * (kernel_h - 1) + 1;
const int dkernel_w = dilation_w * (kernel_w - 1) + 1;
int height_col = (height + pad_t + pad_b - dkernel_h) / stride_h + 1;
int width_col = (width + pad_l + pad_r - dkernel_w) / stride_w + 1;
int channels_col = channels * kernel_h * kernel_w;
for (const auto c : c10::irange(channels_col)) {
int w_offset = c % kernel_w;
int h_offset = (c / kernel_w) % kernel_h;
int c_im = c / kernel_h / kernel_w;
for (const auto h : c10::irange(height_col)) {
for (const auto w : c10::irange(width_col)) {
int h_pad = h * stride_h - pad_t + h_offset * dilation_h;
int w_pad = w * stride_w - pad_l + w_offset * dilation_w;
if (h_pad >= 0 && h_pad < height && w_pad >= 0 && w_pad < width)
data_col[(c * height_col + h) * width_col + w] =
data_im[(c_im * height + h_pad) * width + w_pad];
else
data_col[(c * height_col + h) * width_col + w] = zero_point;
}
}
}
}
template <typename T>
static void Im2ColNdNCHW(
const int N,
const int /* img_size*/,
const int col_size,
const int* img_shape,
const int* col_shape,
const int* kernel_shape,
const int* stride,
const int* dilation,
const int* pad,
const T* X_data,
T* Y_data,
CPUContext* /* context */,
const T& zero_point = 0) {
const int outer_size = col_shape[0];
const int inner_size = col_size / outer_size;
const int kernel_size = std::accumulate(
kernel_shape, kernel_shape + N, 1, std::multiplies<int>());
std::vector<int> d_offset(N, 0);
std::vector<int> d_iter(N, 0);
for (const auto i : c10::irange(outer_size)) {
// Loop over spatial axes in reverse order to compute a per-axis offset.
int offset = i;
for (int d_i = N - 1; d_i >= 0; --d_i) {
d_offset[d_i] = offset % kernel_shape[d_i];
offset /= kernel_shape[d_i];
}
for (const auto j : c10::irange(inner_size)) {
// Loop over spatial axes in forward order to compute the indices in the
// image and column, and whether the index lies in the padding.
const int col_index = i * inner_size + j;
int img_index = i / kernel_size;
bool is_padding = false;
for (const auto d_i : c10::irange(N)) {
const int d_img = d_iter[d_i] * stride[d_i] - pad[d_i] +
d_offset[d_i] * dilation[d_i];
is_padding |= d_img < 0 || d_img >= img_shape[d_i + 1];
img_index = img_index * img_shape[d_i + 1] + d_img;
}
Y_data[col_index] = is_padding ? zero_point : X_data[img_index];
utils::IncreaseIndexInDims(N, col_shape + 1, d_iter.data());
}
}
}
/**
* The layout of the result is N H W G R S C/G.
* Note that groups are pulled out to an outer dimension so that we can use
* GEMMs efficiently.
*/
template <typename T>
static void Im2ColNHWC(
const int channels,
const int height,
const int width,
const int kernel_h,
const int kernel_w,
const int dilation_h,
const int dilation_w,
const int pad_t,
const int pad_l,
const int pad_b,
const int pad_r,
const int stride_h,
const int stride_w,
const T* data_im,
T* data_col,
CPUContext* /*context*/,
const int groups,
const T& zero_point) {
const int dkernel_h = dilation_h * (kernel_h - 1) + 1;
const int dkernel_w = dilation_w * (kernel_w - 1) + 1;
int height_col = (height + pad_t + pad_b - dkernel_h) / stride_h + 1;
int width_col = (width + pad_l + pad_r - dkernel_w) / stride_w + 1;
#ifdef _OPENMP
#pragma omp parallel for if (!omp_in_parallel())
#endif
for (int h = 0; h < height_col; ++h) {
int h_pad = -pad_t + h * stride_h;
T* data_col_temp =
data_col + h * width_col * kernel_h * kernel_w * channels;
int w_pad = -pad_l;
for (const auto w : c10::irange(width_col)) {
int r = 0;
for (int ih = h_pad; ih < h_pad + dkernel_h; ih += dilation_h, ++r) {
int s = 0;
for (int iw = w_pad; iw < w_pad + dkernel_w; iw += dilation_w, ++s) {
if (ih >= 0 && ih < height && iw >= 0 && iw < width) {
for (const auto g : c10::irange(groups)) {
memcpy(
data_col_temp +
((g * kernel_h + r) * kernel_w + s) * (channels / groups),
data_im + (ih * width + iw) * channels +
g * (channels / groups),
sizeof(T) * (channels / groups));
}
} else {
// This should be simply padded with zero.
for (const auto g : c10::irange(groups)) {
for (int i = 0; i < channels / groups; ++i) {
data_col_temp
[(((g * kernel_h + r) * kernel_w) + s) *
(channels / groups) +
i] = zero_point;
}
}
}
} // for each iw
} // for each ih
data_col_temp += kernel_h * kernel_w * channels;
w_pad += stride_w;
} // for each output pixel
} // for each image row
}
/**
* The layout of the result is N T H W G Q R S C/G.
* Note that groups are pulled out to an outer dimension so that we can use
* GEMMs efficiently.
*/
template <typename T>
static void Im2Col3DNHWC(
const int channels,
const int num_frames,
const int height,
const int width,
const int kernel_t,
const int kernel_h,
const int kernel_w,
const int dilation_t,
const int dilation_h,
const int dilation_w,
const int pad_p, // previous frame
const int pad_t, // top
const int pad_l, // left
const int pad_n, // next frame
const int pad_b, // bottom
const int pad_r, // right
const int stride_t,
const int stride_h,
const int stride_w,
const T* data_im,
T* data_col,
CPUContext* /*context*/,
const int groups,
const T& zero_point) {
const int dkernel_t = dilation_t * (kernel_t - 1) + 1;
const int dkernel_h = dilation_h * (kernel_h - 1) + 1;
const int dkernel_w = dilation_w * (kernel_w - 1) + 1;
int frame_col = (num_frames + pad_p + pad_n - dkernel_t) / stride_t + 1;
int height_col = (height + pad_t + pad_b - dkernel_h) / stride_h + 1;
int width_col = (width + pad_l + pad_r - dkernel_w) / stride_w + 1;
#ifdef _OPENMP
#pragma omp parallel for if (!omp_in_parallel())
#endif
for (int t = 0; t < frame_col; ++t) {
int t_pad = -pad_p + t * stride_t;
for (const auto h : c10::irange(height_col)) {
int h_pad = -pad_t + h * stride_h;
T* data_col_temp = data_col +
(t * height_col + h) * width_col * kernel_t * kernel_h * kernel_w *
channels;
for (const auto w : c10::irange(width_col)) {
int w_pad = -pad_l + w * stride_w;
int q = 0;
for (int it = t_pad; it < t_pad + dkernel_t; it += dilation_t, ++q) {
int r = 0;
for (int ih = h_pad; ih < h_pad + dkernel_h; ih += dilation_h, ++r) {
int s = 0;
for (int iw = w_pad; iw < w_pad + dkernel_w;
iw += dilation_w, ++s) {
if (it >= 0 && it < num_frames && ih >= 0 && ih < height &&
iw >= 0 && iw < width) {
for (const auto g : c10::irange(groups)) {
memcpy(
data_col_temp +
(((g * kernel_t + q) * kernel_h + r) * kernel_w + s) *
(channels / groups),
data_im + ((it * height + ih) * width + iw) * channels +
g * (channels / groups),
sizeof(T) * (channels / groups));
}
} else {
// This should be simply padded with zero.
for (const auto g : c10::irange(groups)) {
for (int i = 0; i < channels / groups; ++i) {
data_col_temp
[((((g * kernel_t + q) * kernel_h + r) * kernel_w) +
s) *
(channels / groups) +
i] = zero_point;
}
}
}
} // for each iw
} // for each ih
} // for each it
data_col_temp += kernel_t * kernel_h * kernel_w * channels;
} // for each output pixel
} // for each image row
} // for each frame
}
} // namespace math
} // namespace caffe2
|
image-view.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% IIIII M M AAA GGGG EEEEE %
% I MM MM A A G E %
% I M M M AAAAA G GG EEE %
% I M M A A G G E %
% IIIII M M A A GGGG EEEEE %
% %
% V V IIIII EEEEE W W %
% V V I E W W %
% V V I EEE W W W %
% V V I E WW WW %
% V IIIII EEEEE W W %
% %
% %
% MagickCore Image View Methods %
% %
% Software Design %
% Cristy %
% March 2003 %
% %
% %
% Copyright 1999-2020 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/MagickCore.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/thread-private.h"
/*
Typedef declarations.
*/
struct _ImageView
{
char
*description;
RectangleInfo
extent;
Image
*image;
CacheView
*view;
ExceptionInfo
*exception;
MagickBooleanType
debug;
size_t
signature;
};
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImageView() makes a copy of the specified image view.
%
% The format of the CloneImageView method is:
%
% ImageView *CloneImageView(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport ImageView *CloneImageView(const ImageView *image_view)
{
ImageView
*clone_view;
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
clone_view=(ImageView *) AcquireCriticalMemory(sizeof(*clone_view));
(void) memset(clone_view,0,sizeof(*clone_view));
clone_view->description=ConstantString(image_view->description);
clone_view->extent=image_view->extent;
clone_view->view=CloneCacheView(image_view->view);
clone_view->exception=AcquireExceptionInfo();
InheritException(clone_view->exception,image_view->exception);
clone_view->debug=image_view->debug;
clone_view->signature=MagickCoreSignature;
return(clone_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImageView() deallocates memory associated with a image view.
%
% The format of the DestroyImageView method is:
%
% ImageView *DestroyImageView(ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport ImageView *DestroyImageView(ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
if (image_view->description != (char *) NULL)
image_view->description=DestroyString(image_view->description);
image_view->view=DestroyCacheView(image_view->view);
image_view->exception=DestroyExceptionInfo(image_view->exception);
image_view->signature=(~MagickCoreSignature);
image_view=(ImageView *) RelinquishMagickMemory(image_view);
return(image_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D u p l e x T r a n s f e r I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DuplexTransferImageViewIterator() iterates over three image views in
% parallel and calls your transfer method for each scanline of the view. The
% source and duplex pixel extent is not confined to the image canvas-- that is
% you can include negative offsets or widths or heights that exceed the image
% dimension. However, the destination image view is confined to the image
% canvas-- that is no negative offsets or widths or heights that exceed the
% image dimension are permitted.
%
% The callback signature is:
%
% MagickBooleanType DuplexTransferImageViewMethod(const ImageView *source,
% const ImageView *duplex,ImageView *destination,const ssize_t y,
% const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback transfer method that must be
% executed by a single thread at a time.
%
% The format of the DuplexTransferImageViewIterator method is:
%
% MagickBooleanType DuplexTransferImageViewIterator(ImageView *source,
% ImageView *duplex,ImageView *destination,
% DuplexTransferImageViewMethod transfer,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o duplex: the duplex image view.
%
% o destination: the destination image view.
%
% o transfer: the transfer callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType DuplexTransferImageViewIterator(
ImageView *source,ImageView *duplex,ImageView *destination,
DuplexTransferImageViewMethod transfer,void *context)
{
Image
*destination_image,
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (transfer == (DuplexTransferImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
destination_image=destination->image;
status=SetImageStorageClass(destination_image,DirectClass,
destination->exception);
if (status == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=source->extent.height-source->extent.y;
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,destination_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register const Quantum
*magick_restrict duplex_pixels,
*magick_restrict pixels;
register Quantum
*magick_restrict destination_pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewVirtualPixels(source->view,source->extent.x,y,
source->extent.width,1,source->exception);
if (pixels == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
duplex_pixels=GetCacheViewVirtualPixels(duplex->view,duplex->extent.x,y,
duplex->extent.width,1,duplex->exception);
if (duplex_pixels == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
destination_pixels=GetCacheViewAuthenticPixels(destination->view,
destination->extent.x,y,destination->extent.width,1,
destination->exception);
if (destination_pixels == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
if (transfer(source,duplex,destination,y,id,context) == MagickFalse)
status=MagickFalse;
sync=SyncCacheViewAuthenticPixels(destination->view,destination->exception);
if (sync == MagickFalse)
status=MagickFalse;
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(source_image,source->description,progress,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w A u t h e n t i c M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewAuthenticMetacontent() returns the image view authentic
% meta-content.
%
% The format of the GetImageViewAuthenticPixels method is:
%
% void *GetImageViewAuthenticMetacontent(
% const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport void *GetImageViewAuthenticMetacontent(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewAuthenticMetacontent(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewAuthenticPixels() returns the image view authentic pixels.
%
% The format of the GetImageViewAuthenticPixels method is:
%
% Quantum *GetImageViewAuthenticPixels(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport Quantum *GetImageViewAuthenticPixels(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewAuthenticPixelQueue(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w E x c e p t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewException() returns the severity, reason, and description of any
% error that occurs when utilizing a image view.
%
% The format of the GetImageViewException method is:
%
% char *GetImageViewException(const PixelImage *image_view,
% ExceptionType *severity)
%
% A description of each parameter follows:
%
% o image_view: the pixel image_view.
%
% o severity: the severity of the error is returned here.
%
*/
MagickExport char *GetImageViewException(const ImageView *image_view,
ExceptionType *severity)
{
char
*description;
assert(image_view != (const ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
assert(severity != (ExceptionType *) NULL);
*severity=image_view->exception->severity;
description=(char *) AcquireQuantumMemory(2UL*MagickPathExtent,
sizeof(*description));
if (description == (char *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
*description='\0';
if (image_view->exception->reason != (char *) NULL)
(void) CopyMagickString(description,GetLocaleExceptionMessage(
image_view->exception->severity,image_view->exception->reason),
MagickPathExtent);
if (image_view->exception->description != (char *) NULL)
{
(void) ConcatenateMagickString(description," (",MagickPathExtent);
(void) ConcatenateMagickString(description,GetLocaleExceptionMessage(
image_view->exception->severity,image_view->exception->description),
MagickPathExtent);
(void) ConcatenateMagickString(description,")",MagickPathExtent);
}
return(description);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewExtent() returns the image view extent.
%
% The format of the GetImageViewExtent method is:
%
% RectangleInfo GetImageViewExtent(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport RectangleInfo GetImageViewExtent(const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(image_view->extent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewImage() returns the image associated with the image view.
%
% The format of the GetImageViewImage method is:
%
% MagickCore *GetImageViewImage(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport Image *GetImageViewImage(const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(image_view->image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewIterator() iterates over the image view in parallel and calls
% your get method for each scanline of the view. The pixel extent is
% not confined to the image canvas-- that is you can include negative offsets
% or widths or heights that exceed the image dimension. Any updates to
% the pixels in your callback are ignored.
%
% The callback signature is:
%
% MagickBooleanType GetImageViewMethod(const ImageView *source,
% const ssize_t y,const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback get method that must be
% executed by a single thread at a time.
%
% The format of the GetImageViewIterator method is:
%
% MagickBooleanType GetImageViewIterator(ImageView *source,
% GetImageViewMethod get,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o get: the get callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType GetImageViewIterator(ImageView *source,
GetImageViewMethod get,void *context)
{
Image
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (get == (GetImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=source->extent.height-source->extent.y;
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,source_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
register const Quantum
*pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewVirtualPixels(source->view,source->extent.x,y,
source->extent.width,1,source->exception);
if (pixels == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
if (get(source,y,id,context) == MagickFalse)
status=MagickFalse;
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(source_image,source->description,progress,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w V i r t u a l M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewVirtualMetacontent() returns the image view virtual
% meta-content.
%
% The format of the GetImageViewVirtualMetacontent method is:
%
% const void *GetImageViewVirtualMetacontent(
% const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport const void *GetImageViewVirtualMetacontent(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewVirtualMetacontent(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w V i r t u a l P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewVirtualPixels() returns the image view virtual pixels.
%
% The format of the GetImageViewVirtualPixels method is:
%
% const Quantum *GetImageViewVirtualPixels(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport const Quantum *GetImageViewVirtualPixels(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewVirtualPixelQueue(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImageView() returns MagickTrue if the the parameter is verified as a image
% view object.
%
% The format of the IsImageView method is:
%
% MagickBooleanType IsImageView(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport MagickBooleanType IsImageView(const ImageView *image_view)
{
if (image_view == (const ImageView *) NULL)
return(MagickFalse);
if (image_view->signature != MagickCoreSignature)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e w I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NewImageView() returns a image view required for all other methods in the
% Image View API.
%
% The format of the NewImageView method is:
%
% ImageView *NewImageView(MagickCore *wand,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ImageView *NewImageView(Image *image,ExceptionInfo *exception)
{
ImageView
*image_view;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
image_view=(ImageView *) AcquireCriticalMemory(sizeof(*image_view));
(void) memset(image_view,0,sizeof(*image_view));
image_view->description=ConstantString("ImageView");
image_view->image=image;
image_view->view=AcquireVirtualCacheView(image_view->image,exception);
image_view->extent.width=image->columns;
image_view->extent.height=image->rows;
image_view->extent.x=0;
image_view->extent.y=0;
image_view->exception=AcquireExceptionInfo();
image_view->debug=IsEventLogging();
image_view->signature=MagickCoreSignature;
return(image_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e w I m a g e V i e w R e g i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NewImageViewRegion() returns a image view required for all other methods
% in the Image View API.
%
% The format of the NewImageViewRegion method is:
%
% ImageView *NewImageViewRegion(MagickCore *wand,const ssize_t x,
% const ssize_t y,const size_t width,const size_t height,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o wand: the magick wand.
%
% o x,y,columns,rows: These values define the perimeter of a extent of
% pixel_wands view.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ImageView *NewImageViewRegion(Image *image,const ssize_t x,
const ssize_t y,const size_t width,const size_t height,
ExceptionInfo *exception)
{
ImageView
*image_view;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
image_view=(ImageView *) AcquireCriticalMemory(sizeof(*image_view));
(void) memset(image_view,0,sizeof(*image_view));
image_view->description=ConstantString("ImageView");
image_view->view=AcquireVirtualCacheView(image_view->image,exception);
image_view->image=image;
image_view->extent.width=width;
image_view->extent.height=height;
image_view->extent.x=x;
image_view->extent.y=y;
image_view->exception=AcquireExceptionInfo();
image_view->debug=IsEventLogging();
image_view->signature=MagickCoreSignature;
return(image_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e V i e w D e s c r i p t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageViewDescription() associates a description with an image view.
%
% The format of the SetImageViewDescription method is:
%
% void SetImageViewDescription(ImageView *image_view,
% const char *description)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
% o description: the image view description.
%
*/
MagickExport void SetImageViewDescription(ImageView *image_view,
const char *description)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
image_view->description=ConstantString(description);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageViewIterator() iterates over the image view in parallel and calls
% your set method for each scanline of the view. The pixel extent is
% confined to the image canvas-- that is no negative offsets or widths or
% heights that exceed the image dimension. The pixels are initiallly
% undefined and any settings you make in the callback method are automagically
% synced back to your image.
%
% The callback signature is:
%
% MagickBooleanType SetImageViewMethod(ImageView *destination,
% const ssize_t y,const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback set method that must be
% executed by a single thread at a time.
%
% The format of the SetImageViewIterator method is:
%
% MagickBooleanType SetImageViewIterator(ImageView *destination,
% SetImageViewMethod set,void *context)
%
% A description of each parameter follows:
%
% o destination: the image view.
%
% o set: the set callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType SetImageViewIterator(ImageView *destination,
SetImageViewMethod set,void *context)
{
Image
*destination_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(destination != (ImageView *) NULL);
assert(destination->signature == MagickCoreSignature);
if (set == (SetImageViewMethod) NULL)
return(MagickFalse);
destination_image=destination->image;
status=SetImageStorageClass(destination_image,DirectClass,
destination->exception);
if (status == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=destination->extent.height-destination->extent.y;
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(destination_image,destination_image,height,1)
#endif
for (y=destination->extent.y; y < (ssize_t) destination->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register Quantum
*magick_restrict pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewAuthenticPixels(destination->view,destination->extent.x,
y,destination->extent.width,1,destination->exception);
if (pixels == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
if (set(destination,y,id,context) == MagickFalse)
status=MagickFalse;
sync=SyncCacheViewAuthenticPixels(destination->view,destination->exception);
if (sync == MagickFalse)
status=MagickFalse;
if (destination_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(destination_image,destination->description,
progress,destination->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s f e r I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransferImageViewIterator() iterates over two image views in parallel and
% calls your transfer method for each scanline of the view. The source pixel
% extent is not confined to the image canvas-- that is you can include
% negative offsets or widths or heights that exceed the image dimension.
% However, the destination image view is confined to the image canvas-- that
% is no negative offsets or widths or heights that exceed the image dimension
% are permitted.
%
% The callback signature is:
%
% MagickBooleanType TransferImageViewMethod(const ImageView *source,
% ImageView *destination,const ssize_t y,const int thread_id,
% void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback transfer method that must be
% executed by a single thread at a time.
%
% The format of the TransferImageViewIterator method is:
%
% MagickBooleanType TransferImageViewIterator(ImageView *source,
% ImageView *destination,TransferImageViewMethod transfer,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o destination: the destination image view.
%
% o transfer: the transfer callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType TransferImageViewIterator(ImageView *source,
ImageView *destination,TransferImageViewMethod transfer,void *context)
{
Image
*destination_image,
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (transfer == (TransferImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
destination_image=destination->image;
status=SetImageStorageClass(destination_image,DirectClass,
destination->exception);
if (status == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=source->extent.height-source->extent.y;
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,destination_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register const Quantum
*magick_restrict pixels;
register Quantum
*magick_restrict destination_pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewVirtualPixels(source->view,source->extent.x,y,
source->extent.width,1,source->exception);
if (pixels == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
destination_pixels=GetCacheViewAuthenticPixels(destination->view,
destination->extent.x,y,destination->extent.width,1,
destination->exception);
if (destination_pixels == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
if (transfer(source,destination,y,id,context) == MagickFalse)
status=MagickFalse;
sync=SyncCacheViewAuthenticPixels(destination->view,destination->exception);
if (sync == MagickFalse)
status=MagickFalse;
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(source_image,source->description,progress,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U p d a t e I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UpdateImageViewIterator() iterates over the image view in parallel and calls
% your update method for each scanline of the view. The pixel extent is
% confined to the image canvas-- that is no negative offsets or widths or
% heights that exceed the image dimension are permitted. Updates to pixels
% in your callback are automagically synced back to the image.
%
% The callback signature is:
%
% MagickBooleanType UpdateImageViewMethod(ImageView *source,
% const ssize_t y,const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback update method that must be
% executed by a single thread at a time.
%
% The format of the UpdateImageViewIterator method is:
%
% MagickBooleanType UpdateImageViewIterator(ImageView *source,
% UpdateImageViewMethod update,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o update: the update callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType UpdateImageViewIterator(ImageView *source,
UpdateImageViewMethod update,void *context)
{
Image
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (update == (UpdateImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
status=SetImageStorageClass(source_image,DirectClass,source->exception);
if (status == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=source->extent.height-source->extent.y;
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,source_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
register Quantum
*magick_restrict pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewAuthenticPixels(source->view,source->extent.x,y,
source->extent.width,1,source->exception);
if (pixels == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
if (update(source,y,id,context) == MagickFalse)
status=MagickFalse;
status=SyncCacheViewAuthenticPixels(source->view,source->exception);
if (status == MagickFalse)
status=MagickFalse;
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(source_image,source->description,progress,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
|
gbdt.h | /*!
* Copyright (c) 2016 Microsoft Corporation. All rights reserved.
* Licensed under the MIT License. See LICENSE file in the project root for license information.
*/
#ifndef LIGHTGBM_BOOSTING_GBDT_H_
#define LIGHTGBM_BOOSTING_GBDT_H_
#include <LightGBM/boosting.h>
#include <LightGBM/objective_function.h>
#include <LightGBM/prediction_early_stop.h>
#include <LightGBM/utils/json11.h>
#include <LightGBM/utils/threading.h>
#include <string>
#include <algorithm>
#include <cstdio>
#include <fstream>
#include <map>
#include <memory>
#include <mutex>
#include <unordered_map>
#include <utility>
#include <vector>
#include "score_updater.hpp"
namespace LightGBM {
using json11::Json;
/*!
* \brief GBDT algorithm implementation. including Training, prediction, bagging.
*/
class GBDT : public GBDTBase {
public:
/*!
* \brief Constructor
*/
GBDT();
/*!
* \brief Destructor
*/
~GBDT();
/*!
* \brief Initialization logic
* \param gbdt_config Config for boosting
* \param train_data Training data
* \param objective_function Training objective function
* \param training_metrics Training metrics
*/
void Init(const Config* gbdt_config, const Dataset* train_data,
const ObjectiveFunction* objective_function,
const std::vector<const Metric*>& training_metrics) override;
/*!
* \brief Merge model from other boosting object. Will insert to the front of current boosting object
* \param other
*/
void MergeFrom(const Boosting* other) override {
auto other_gbdt = reinterpret_cast<const GBDT*>(other);
// tmp move to other vector
auto original_models = std::move(models_);
models_ = std::vector<std::unique_ptr<Tree>>();
// push model from other first
for (const auto& tree : other_gbdt->models_) {
auto new_tree = std::unique_ptr<Tree>(new Tree(*(tree.get())));
models_.push_back(std::move(new_tree));
}
num_init_iteration_ = static_cast<int>(models_.size()) / num_tree_per_iteration_;
// push model in current object
for (const auto& tree : original_models) {
auto new_tree = std::unique_ptr<Tree>(new Tree(*(tree.get())));
models_.push_back(std::move(new_tree));
}
num_iteration_for_pred_ = static_cast<int>(models_.size()) / num_tree_per_iteration_;
}
void ShuffleModels(int start_iter, int end_iter) override {
int total_iter = static_cast<int>(models_.size()) / num_tree_per_iteration_;
start_iter = std::max(0, start_iter);
if (end_iter <= 0) {
end_iter = total_iter;
}
end_iter = std::min(total_iter, end_iter);
auto original_models = std::move(models_);
std::vector<int> indices(total_iter);
for (int i = 0; i < total_iter; ++i) {
indices[i] = i;
}
Random tmp_rand(17);
for (int i = start_iter; i < end_iter - 1; ++i) {
int j = tmp_rand.NextShort(i + 1, end_iter);
std::swap(indices[i], indices[j]);
}
models_ = std::vector<std::unique_ptr<Tree>>();
for (int i = 0; i < total_iter; ++i) {
for (int j = 0; j < num_tree_per_iteration_; ++j) {
int tree_idx = indices[i] * num_tree_per_iteration_ + j;
auto new_tree = std::unique_ptr<Tree>(new Tree(*(original_models[tree_idx].get())));
models_.push_back(std::move(new_tree));
}
}
}
/*!
* \brief Reset the training data
* \param train_data New Training data
* \param objective_function Training objective function
* \param training_metrics Training metrics
*/
void ResetTrainingData(const Dataset* train_data, const ObjectiveFunction* objective_function,
const std::vector<const Metric*>& training_metrics) override;
/*!
* \brief Reset Boosting Config
* \param gbdt_config Config for boosting
*/
void ResetConfig(const Config* gbdt_config) override;
/*!
* \brief Adding a validation dataset
* \param valid_data Validation dataset
* \param valid_metrics Metrics for validation dataset
*/
void AddValidDataset(const Dataset* valid_data,
const std::vector<const Metric*>& valid_metrics) override;
/*!
* \brief Perform a full training procedure
* \param snapshot_freq frequence of snapshot
* \param model_output_path path of model file
*/
void Train(int snapshot_freq, const std::string& model_output_path) override;
void RefitTree(const std::vector<std::vector<int>>& tree_leaf_prediction) override;
/*!
* \brief Training logic
* \param gradients nullptr for using default objective, otherwise use self-defined boosting
* \param hessians nullptr for using default objective, otherwise use self-defined boosting
* \return True if cannot train any more
*/
bool TrainOneIter(const score_t* gradients, const score_t* hessians) override;
/*!
* \brief Rollback one iteration
*/
void RollbackOneIter() override;
/*!
* \brief Get current iteration
*/
int GetCurrentIteration() const override { return static_cast<int>(models_.size()) / num_tree_per_iteration_; }
/*!
* \brief Can use early stopping for prediction or not
* \return True if cannot use early stopping for prediction
*/
bool NeedAccuratePrediction() const override {
if (objective_function_ == nullptr) {
return true;
} else {
return objective_function_->NeedAccuratePrediction();
}
}
/*!
* \brief Get evaluation result at data_idx data
* \param data_idx 0: training data, 1: 1st validation data
* \return evaluation result
*/
std::vector<double> GetEvalAt(int data_idx) const override;
/*!
* \brief Get current training score
* \param out_len length of returned score
* \return training score
*/
const double* GetTrainingScore(int64_t* out_len) override;
/*!
* \brief Get size of prediction at data_idx data
* \param data_idx 0: training data, 1: 1st validation data
* \return The size of prediction
*/
int64_t GetNumPredictAt(int data_idx) const override {
CHECK(data_idx >= 0 && data_idx <= static_cast<int>(valid_score_updater_.size()));
data_size_t num_data = train_data_->num_data();
if (data_idx > 0) {
num_data = valid_score_updater_[data_idx - 1]->num_data();
}
return num_data * num_class_;
}
/*!
* \brief Get prediction result at data_idx data
* \param data_idx 0: training data, 1: 1st validation data
* \param result used to store prediction result, should allocate memory before call this function
* \param out_len length of returned score
*/
void GetPredictAt(int data_idx, double* out_result, int64_t* out_len) override;
/*!
* \brief Get number of prediction for one data
* \param start_iteration Start index of the iteration to predict
* \param num_iteration number of used iterations
* \param is_pred_leaf True if predicting leaf index
* \param is_pred_contrib True if predicting feature contribution
* \return number of prediction
*/
inline int NumPredictOneRow(int start_iteration, int num_iteration, bool is_pred_leaf, bool is_pred_contrib) const override {
int num_pred_in_one_row = num_class_;
if (is_pred_leaf) {
int max_iteration = GetCurrentIteration();
start_iteration = std::max(start_iteration, 0);
start_iteration = std::min(start_iteration, max_iteration);
if (num_iteration > 0) {
num_pred_in_one_row *= static_cast<int>(std::min(max_iteration - start_iteration, num_iteration));
} else {
num_pred_in_one_row *= (max_iteration - start_iteration);
}
} else if (is_pred_contrib) {
num_pred_in_one_row = num_tree_per_iteration_ * (max_feature_idx_ + 2); // +1 for 0-based indexing, +1 for baseline
}
return num_pred_in_one_row;
}
void PredictRaw(const double* features, double* output,
const PredictionEarlyStopInstance* earlyStop) const override;
void PredictRawByMap(const std::unordered_map<int, double>& features, double* output,
const PredictionEarlyStopInstance* early_stop) const override;
void Predict(const double* features, double* output,
const PredictionEarlyStopInstance* earlyStop) const override;
void PredictByMap(const std::unordered_map<int, double>& features, double* output,
const PredictionEarlyStopInstance* early_stop) const override;
void PredictLeafIndex(const double* features, double* output) const override;
void PredictLeafIndexByMap(const std::unordered_map<int, double>& features, double* output) const override;
void PredictContrib(const double* features, double* output) const override;
void PredictContribByMap(const std::unordered_map<int, double>& features,
std::vector<std::unordered_map<int, double>>* output) const override;
/*!
* \brief Dump model to json format string
* \param start_iteration The model will be saved start from
* \param num_iteration Number of iterations that want to dump, -1 means dump all
* \param feature_importance_type Type of feature importance, 0: split, 1: gain
* \return Json format string of model
*/
std::string DumpModel(int start_iteration, int num_iteration,
int feature_importance_type) const override;
/*!
* \brief Translate model to if-else statement
* \param num_iteration Number of iterations that want to translate, -1 means translate all
* \return if-else format codes of model
*/
std::string ModelToIfElse(int num_iteration) const override;
/*!
* \brief Translate model to if-else statement
* \param num_iteration Number of iterations that want to translate, -1 means translate all
* \param filename Filename that want to save to
* \return is_finish Is training finished or not
*/
bool SaveModelToIfElse(int num_iteration, const char* filename) const override;
/*!
* \brief Save model to file
* \param start_iteration The model will be saved start from
* \param num_iterations Number of model that want to save, -1 means save all
* \param feature_importance_type Type of feature importance, 0: split, 1: gain
* \param filename Filename that want to save to
* \return is_finish Is training finished or not
*/
bool SaveModelToFile(int start_iteration, int num_iterations,
int feature_importance_type,
const char* filename) const override;
/*!
* \brief Save model to string
* \param start_iteration The model will be saved start from
* \param num_iterations Number of model that want to save, -1 means save all
* \param feature_importance_type Type of feature importance, 0: split, 1: gain
* \return Non-empty string if succeeded
*/
std::string SaveModelToString(int start_iteration, int num_iterations, int feature_importance_type) const override;
/*!
* \brief Restore from a serialized buffer
*/
bool LoadModelFromString(const char* buffer, size_t len) override;
/*!
* \brief Calculate feature importances
* \param num_iteration Number of model that want to use for feature importance, -1 means use all
* \param importance_type: 0 for split, 1 for gain
* \return vector of feature_importance
*/
std::vector<double> FeatureImportance(int num_iteration, int importance_type) const override;
/*!
* \brief Calculate upper bound value
* \return upper bound value
*/
double GetUpperBoundValue() const override;
/*!
* \brief Calculate lower bound value
* \return lower bound value
*/
double GetLowerBoundValue() const override;
/*!
* \brief Get max feature index of this model
* \return Max feature index of this model
*/
inline int MaxFeatureIdx() const override { return max_feature_idx_; }
/*!
* \brief Get feature names of this model
* \return Feature names of this model
*/
inline std::vector<std::string> FeatureNames() const override { return feature_names_; }
/*!
* \brief Get index of label column
* \return index of label column
*/
inline int LabelIdx() const override { return label_idx_; }
/*!
* \brief Get number of weak sub-models
* \return Number of weak sub-models
*/
inline int NumberOfTotalModel() const override { return static_cast<int>(models_.size()); }
/*!
* \brief Get number of tree per iteration
* \return number of tree per iteration
*/
inline int NumModelPerIteration() const override { return num_tree_per_iteration_; }
/*!
* \brief Get number of classes
* \return Number of classes
*/
inline int NumberOfClasses() const override { return num_class_; }
inline void InitPredict(int start_iteration, int num_iteration, bool is_pred_contrib) override {
num_iteration_for_pred_ = static_cast<int>(models_.size()) / num_tree_per_iteration_;
start_iteration = std::max(start_iteration, 0);
start_iteration = std::min(start_iteration, num_iteration_for_pred_);
if (num_iteration > 0) {
num_iteration_for_pred_ = std::min(num_iteration, num_iteration_for_pred_ - start_iteration);
} else {
num_iteration_for_pred_ = num_iteration_for_pred_ - start_iteration;
}
start_iteration_for_pred_ = start_iteration;
if (is_pred_contrib) {
#pragma omp parallel for schedule(static)
for (int i = 0; i < static_cast<int>(models_.size()); ++i) {
models_[i]->RecomputeMaxDepth();
}
}
}
inline double GetLeafValue(int tree_idx, int leaf_idx) const override {
CHECK(tree_idx >= 0 && static_cast<size_t>(tree_idx) < models_.size());
CHECK(leaf_idx >= 0 && leaf_idx < models_[tree_idx]->num_leaves());
return models_[tree_idx]->LeafOutput(leaf_idx);
}
inline void SetLeafValue(int tree_idx, int leaf_idx, double val) override {
CHECK(tree_idx >= 0 && static_cast<size_t>(tree_idx) < models_.size());
CHECK(leaf_idx >= 0 && leaf_idx < models_[tree_idx]->num_leaves());
models_[tree_idx]->SetLeafOutput(leaf_idx, val);
}
/*!
* \brief Get Type name of this boosting object
*/
const char* SubModelName() const override { return "tree"; }
protected:
virtual bool GetIsConstHessian(const ObjectiveFunction* objective_function) {
if (objective_function != nullptr) {
return objective_function->IsConstantHessian();
} else {
return false;
}
}
/*!
* \brief Print eval result and check early stopping
*/
virtual bool EvalAndCheckEarlyStopping();
/*!
* \brief reset config for bagging
*/
void ResetBaggingConfig(const Config* config, bool is_change_dataset);
/*!
* \brief Implement bagging logic
* \param iter Current interation
*/
virtual void Bagging(int iter);
virtual data_size_t BaggingHelper(data_size_t start, data_size_t cnt,
data_size_t* buffer);
data_size_t BalancedBaggingHelper(data_size_t start, data_size_t cnt,
data_size_t* buffer);
/*!
* \brief calculate the object function
*/
virtual void Boosting();
/*!
* \brief updating score after tree was trained
* \param tree Trained tree of this iteration
* \param cur_tree_id Current tree for multiclass training
*/
virtual void UpdateScore(const Tree* tree, const int cur_tree_id);
/*!
* \brief eval results for one metric
*/
virtual std::vector<double> EvalOneMetric(const Metric* metric, const double* score) const;
/*!
* \brief Print metric result of current iteration
* \param iter Current interation
* \return best_msg if met early_stopping
*/
std::string OutputMetric(int iter);
double BoostFromAverage(int class_id, bool update_scorer);
/*! \brief current iteration */
int iter_;
/*! \brief Pointer to training data */
const Dataset* train_data_;
/*! \brief Config of gbdt */
std::unique_ptr<Config> config_;
/*! \brief Tree learner, will use this class to learn trees */
std::unique_ptr<TreeLearner> tree_learner_;
/*! \brief Objective function */
const ObjectiveFunction* objective_function_;
/*! \brief Store and update training data's score */
std::unique_ptr<ScoreUpdater> train_score_updater_;
/*! \brief Metrics for training data */
std::vector<const Metric*> training_metrics_;
/*! \brief Store and update validation data's scores */
std::vector<std::unique_ptr<ScoreUpdater>> valid_score_updater_;
/*! \brief Metric for validation data */
std::vector<std::vector<const Metric*>> valid_metrics_;
/*! \brief Number of rounds for early stopping */
int early_stopping_round_;
/*! \brief Only use first metric for early stopping */
bool es_first_metric_only_;
/*! \brief Best iteration(s) for early stopping */
std::vector<std::vector<int>> best_iter_;
/*! \brief Best score(s) for early stopping */
std::vector<std::vector<double>> best_score_;
/*! \brief output message of best iteration */
std::vector<std::vector<std::string>> best_msg_;
/*! \brief Trained models(trees) */
std::vector<std::unique_ptr<Tree>> models_;
/*! \brief Max feature index of training data*/
int max_feature_idx_;
/*! \brief First order derivative of training data */
std::vector<score_t, Common::AlignmentAllocator<score_t, kAlignedSize>> gradients_;
/*! \brief Secend order derivative of training data */
std::vector<score_t, Common::AlignmentAllocator<score_t, kAlignedSize>> hessians_;
/*! \brief Store the indices of in-bag data */
std::vector<data_size_t, Common::AlignmentAllocator<data_size_t, kAlignedSize>> bag_data_indices_;
/*! \brief Number of in-bag data */
data_size_t bag_data_cnt_;
/*! \brief Number of training data */
data_size_t num_data_;
/*! \brief Number of trees per iterations */
int num_tree_per_iteration_;
/*! \brief Number of class */
int num_class_;
/*! \brief Index of label column */
data_size_t label_idx_;
/*! \brief number of used model */
int num_iteration_for_pred_;
/*! \brief Start iteration of used model */
int start_iteration_for_pred_;
/*! \brief Shrinkage rate for one iteration */
double shrinkage_rate_;
/*! \brief Number of loaded initial models */
int num_init_iteration_;
/*! \brief Feature names */
std::vector<std::string> feature_names_;
std::vector<std::string> feature_infos_;
std::unique_ptr<Dataset> tmp_subset_;
bool is_use_subset_;
std::vector<bool> class_need_train_;
bool is_constant_hessian_;
std::unique_ptr<ObjectiveFunction> loaded_objective_;
bool average_output_;
bool need_re_bagging_;
bool balanced_bagging_;
std::string loaded_parameter_;
std::vector<int8_t> monotone_constraints_;
const int bagging_rand_block_ = 1024;
std::vector<Random> bagging_rands_;
ParallelPartitionRunner<data_size_t, false> bagging_runner_;
Json forced_splits_json_;
};
} // namespace LightGBM
#endif // LightGBM_BOOSTING_GBDT_H_
|
pragma_omp.h | /******************************************************************************
* Copyright (c) 2021, NVIDIA CORPORATION. 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 NVIDIA 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 NVIDIA CORPORATION 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.
*
******************************************************************************/
#pragma once
#include <thrust/detail/config.h>
#if THRUST_HOST_COMPILER == THRUST_HOST_COMPILER_MSVC
// MSVC ICEs when using the standard C++11 `_Pragma` operator with OpenMP
// directives.
// WAR this by using the MSVC-extension `__pragma`. See this link for more info:
// https://developercommunity.visualstudio.com/t/Using-C11s-_Pragma-with-OpenMP-dire/1590628
#define THRUST_PRAGMA_OMP_IMPL(directive) __pragma(directive)
#else // Not MSVC:
#define THRUST_PRAGMA_OMP_IMPL(directive) _Pragma(#directive)
#endif
// For internal use only -- THRUST_PRAGMA_OMP is used to switch between
// different flavors of openmp pragmas. Pragmas are not emitted when OpenMP is
// not available.
//
// Usage:
// Replace: #pragma omp parallel for
// With : THRUST_PRAGMA_OMP(parallel for)
//
#if defined(_NVHPC_STDPAR_OPENMP) && _NVHPC_STDPAR_OPENMP == 1
#define THRUST_PRAGMA_OMP(directive) THRUST_PRAGMA_OMP_IMPL(omp_stdpar directive)
#elif defined(_OPENMP)
#define THRUST_PRAGMA_OMP(directive) THRUST_PRAGMA_OMP_IMPL(omp directive)
#else
#define THRUST_PRAGMA_OMP(directive)
#endif
|
GB_binop__second_int8.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__second_int8)
// A.*B function (eWiseMult): GB (_AemultB_08__second_int8)
// A.*B function (eWiseMult): GB (_AemultB_02__second_int8)
// A.*B function (eWiseMult): GB (_AemultB_04__second_int8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__second_int8)
// A*D function (colscale): GB (_AxD__second_int8)
// D*A function (rowscale): GB (_DxB__second_int8)
// C+=B function (dense accum): GB (_Cdense_accumB__second_int8)
// C+=b function (dense accum): GB (_Cdense_accumb__second_int8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__second_int8)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB ((none))
// C=A'+scalar GB ((none))
// C type: int8_t
// A type: int8_t
// A pattern? 1
// B type: int8_t
// B pattern? 0
// BinaryOp: cij = bij
#define GB_ATYPE \
int8_t
#define GB_BTYPE \
int8_t
#define GB_CTYPE \
int8_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) \
;
// true if values of A are not used
#define GB_A_IS_PATTERN \
1 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int8_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) \
int8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = y ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
1
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_SECOND || GxB_NO_INT8 || GxB_NO_SECOND_INT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__second_int8)
(
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__second_int8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__second_int8)
(
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 int8_t
int8_t bwork = (*((int8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__second_int8)
(
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
int8_t *restrict Cx = (int8_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__second_int8)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_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__second_int8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool 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) ;
int8_t alpha_scalar ;
int8_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int8_t *) alpha_scalar_in)) ;
beta_scalar = (*((int8_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__second_int8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__second_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__second_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__second_int8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *Cx = (int8_t *) Cx_output ;
int8_t x = (*((int8_t *) x_input)) ;
int8_t *Bx = (int8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int8_t bij = GBX (Bx, p, false) ;
Cx [p] = bij ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int8_t *Cx = (int8_t *) Cx_output ;
int8_t *Ax = (int8_t *) Ax_input ;
int8_t y = (*((int8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
; ;
Cx [p] = y ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = aij ; \
}
GrB_Info GB ((none))
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t x = (*((const int8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = y ; \
}
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t y = (*((const int8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
glove_cython.c | /* Generated by Cython 0.29.14 */
/* BEGIN: Cython Metadata
{
"distutils": {
"depends": [],
"extra_compile_args": [
"-fopenmp",
"-ffast-math"
],
"extra_link_args": [
"-fopenmp"
],
"name": "glove.glove_cython",
"sources": [
"glove/glove_cython.pyx"
]
},
"module_name": "glove.glove_cython"
}
END: Cython Metadata */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
#error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
#error Cython requires Python 2.6+ or Python 3.3+.
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#define CYTHON_HEX_VERSION 0x001D0EF0
#define CYTHON_FUTURE_DIVISION 1
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#define CYTHON_USE_TYPE_SLOTS 0
#undef CYTHON_USE_PYTYPE_LOOKUP
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#define CYTHON_USE_PYLONG_INTERNALS 0
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#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
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#define CYTHON_USE_PYLONG_INTERNALS 0
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
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#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
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#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*)) };
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#endif
#ifndef __has_attribute
#define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
#define __has_cpp_attribute(x) 0
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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
#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
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# if defined(__cplusplus)
template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
# else
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#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
# define CYTHON_NCP_UNUSED
# else
# define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
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#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
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#include <stdint.h>
#endif
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#if defined(__cplusplus) && __cplusplus >= 201103L
#if __has_cpp_attribute(fallthrough)
#define CYTHON_FALLTHROUGH [[fallthrough]]
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#define CYTHON_FALLTHROUGH [[clang::fallthrough]]
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#define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
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#if __has_attribute(fallthrough)
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#define CYTHON_FALLTHROUGH
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#if __apple_build_version__ < 7000000
#undef CYTHON_FALLTHROUGH
#define CYTHON_FALLTHROUGH
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#if defined(__clang__)
#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
#elif defined(__GNUC__)
#define CYTHON_INLINE __inline__
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#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
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#define CYTHON_INLINE
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#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
#define Py_OptimizeFlag 0
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#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
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#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2
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*key = PyThread_create_key();
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*key = Py_tss_NEEDS_INIT;
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PyObject_Free(key);
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static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
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static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
PyThread_delete_key(*key);
*key = Py_tss_NEEDS_INIT;
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}
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#define __Pyx_PyDict_NewPresized(n) PyDict_New()
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#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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#define CYTHON_PEP393_ENABLED 1
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)
#define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)
#define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#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)
#else
#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)
#endif
#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
#define PyObject_Unicode PyObject_Str
#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 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) ? PyMethod_New(func, self) : (Py_INCREF(func), 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_ERR(f_index, lineno, Ln_error) \
{ \
__pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; 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__glove__glove_cython
#define __PYX_HAVE_API__glove__glove_cython
/* Early includes */
#include "math.h"
#include "pythread.h"
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
(sizeof(type) < sizeof(Py_ssize_t)) ||\
(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
v == (type)PY_SSIZE_T_MIN))) ||\
(sizeof(type) == sizeof(Py_ssize_t) &&\
(is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX))) )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
#include <cstdlib>
#define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
const Py_UNICODE *u_end = u;
while (*u_end++) ;
return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
(likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
if (strcmp(default_encoding_c, "ascii") == 0) {
__Pyx_sys_getdefaultencoding_not_ascii = 0;
} else {
char ascii_chars[128];
int c;
for (c = 0; c < 128; c++) {
ascii_chars[c] = c;
}
__Pyx_sys_getdefaultencoding_not_ascii = 1;
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
if (!ascii_chars_u) goto bad;
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
}
#endif
#endif
/* Test for GCC > 2.95 */
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
static const char *__pyx_f[] = {
"glove\\glove_cython.pyx",
"stringsource",
};
/* NoFastGil.proto */
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
#define __Pyx_PyGILState_Release PyGILState_Release
#define __Pyx_FastGIL_Remember()
#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()
/* MemviewSliceStruct.proto */
struct __pyx_memoryview_obj;
typedef struct {
struct __pyx_memoryview_obj *memview;
char *data;
Py_ssize_t shape[8];
Py_ssize_t strides[8];
Py_ssize_t suboffsets[8];
} __Pyx_memviewslice;
#define __Pyx_MemoryView_Len(m) (m.shape[0])
/* Atomics.proto */
#include <pythread.h>
#ifndef CYTHON_ATOMICS
#define CYTHON_ATOMICS 1
#endif
#define __pyx_atomic_int_type int
#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
(__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
!defined(__i386__)
#define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
#define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using GNU atomics"
#endif
#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
#include <Windows.h>
#undef __pyx_atomic_int_type
#define __pyx_atomic_int_type LONG
#define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#pragma message ("Using MSVC atomics")
#endif
#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0
#define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using Intel atomics"
#endif
#else
#undef CYTHON_ATOMICS
#define CYTHON_ATOMICS 0
#ifdef __PYX_DEBUG_ATOMICS
#warning "Not using atomics"
#endif
#endif
typedef volatile __pyx_atomic_int_type __pyx_atomic_int;
#if CYTHON_ATOMICS
#define __pyx_add_acquisition_count(memview)\
__pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#else
#define __pyx_add_acquisition_count(memview)\
__pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#endif
/* ForceInitThreads.proto */
#ifndef __PYX_FORCE_INIT_THREADS
#define __PYX_FORCE_INIT_THREADS 0
#endif
/* BufferFormatStructs.proto */
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
const char* name;
struct __Pyx_StructField_* fields;
size_t size;
size_t arraysize[8];
int ndim;
char typegroup;
char is_unsigned;
int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
__Pyx_TypeInfo* type;
const char* name;
size_t offset;
} __Pyx_StructField;
typedef struct {
__Pyx_StructField* field;
size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
__Pyx_StructField root;
__Pyx_BufFmt_StackElem* head;
size_t fmt_offset;
size_t new_count, enc_count;
size_t struct_alignment;
int is_complex;
char enc_type;
char new_packmode;
char enc_packmode;
char is_valid_array;
} __Pyx_BufFmt_Context;
/*--- Type declarations ---*/
struct __pyx_array_obj;
struct __pyx_MemviewEnum_obj;
struct __pyx_memoryview_obj;
struct __pyx_memoryviewslice_obj;
/* "View.MemoryView":105
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#define __Pyx_MEMVIEW_DIRECT 1
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#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
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static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
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#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
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#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
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#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
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static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
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#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
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#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
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static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
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#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
__Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
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#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
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#define __Pyx_BUILD_ASSERT_EXPR(cond)\
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#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb)
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#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
#else
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
#endif
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
/* ListCompAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len)) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
(inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif
/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
#else
return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
#endif
}
/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
/* HasAttr.proto */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
#endif
/* PyObject_GenericGetAttr.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
#endif
/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
/* SetupReduce.proto */
static int __Pyx_setup_reduce(PyObject* type_obj);
/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif
/* CodeObjectCache.proto */
typedef struct {
PyCodeObject* code_object;
int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename);
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
/* BufferStructDeclare.proto */
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;
/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
/* IsLittleEndian.proto */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);
/* BufferFormatCheck.proto */
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type);
/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'glove.glove_cython' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static CYTHON_INLINE double __pyx_f_5glove_12glove_cython_double_min(double, double); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 };
#define __Pyx_MODULE_NAME "glove.glove_cython"
extern int __pyx_module_is_main_glove__glove_cython;
int __pyx_module_is_main_glove__glove_cython = 0;
/* Implementation of 'glove.glove_cython' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_O[] = "O";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_i[] = "i";
static const char __pyx_k_j[] = "j";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_np[] = "np";
static const char __pyx_k_sp[] = "sp";
static const char __pyx_k__19[] = "*";
static const char __pyx_k_col[] = "col";
static const char __pyx_k_dim[] = "dim";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_row[] = "row";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_loss[] = "loss";
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_alpha[] = "alpha";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_count[] = "count";
static const char __pyx_k_epoch[] = "epoch";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
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_counts[] = "counts";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_epochs[] = "epochs";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_word_a[] = "word_a";
static const char __pyx_k_word_b[] = "word_b";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_wordvec[] = "wordvec";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_gradient[] = "gradient";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_max_loss[] = "max_loss";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_wordbias[] = "wordbias";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_max_count[] = "max_count";
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_no_threads[] = "no_threads";
static const char __pyx_k_prediction[] = "prediction";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_collections[] = "collections";
static const char __pyx_k_fit_vectors[] = "fit_vectors";
static const char __pyx_k_entry_weight[] = "entry_weight";
static const char __pyx_k_paragraphvec[] = "paragraphvec";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_scipy_sparse[] = "scipy.sparse";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_learning_rate[] = "learning_rate";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_shuffle_index[] = "shuffle_index";
static const char __pyx_k_sum_gradients[] = "sum_gradients";
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_shuffle_indices[] = "shuffle_indices";
static const char __pyx_k_no_cooccurrences[] = "no_cooccurrences";
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_glove_glove_cython[] = "glove.glove_cython";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_transform_paragraph[] = "transform_paragraph";
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_initial_learning_rate[] = "initial_learning_rate";
static const char __pyx_k_wordvec_sum_gradients[] = "wordvec_sum_gradients";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_glove_glove_cython_pyx[] = "glove\\glove_cython.pyx";
static const char __pyx_k_wordbias_sum_gradients[] = "wordbias_sum_gradients";
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_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s__19;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_alpha;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_col;
static PyObject *__pyx_n_s_collections;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
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static PyObject *__pyx_n_s_counts;
static PyObject *__pyx_n_s_dict;
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static PyObject *__pyx_n_s_dtype_is_object;
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static PyObject *__pyx_n_s_entry_weight;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_epoch;
static PyObject *__pyx_n_s_epochs;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_fit_vectors;
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;
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static PyObject *__pyx_n_s_gradient;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
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static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
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static PyObject *__pyx_n_s_learning_rate;
static PyObject *__pyx_n_s_loss;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_max_count;
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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;
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static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_paragraphvec;
static PyObject *__pyx_n_s_pickle;
static PyObject *__pyx_n_s_prediction;
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_row;
static PyObject *__pyx_n_s_scipy_sparse;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_shuffle_index;
static PyObject *__pyx_n_s_shuffle_indices;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_sp;
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_sum_gradients;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_transform_paragraph;
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_word_a;
static PyObject *__pyx_n_s_word_b;
static PyObject *__pyx_n_s_wordbias;
static PyObject *__pyx_n_s_wordbias_sum_gradients;
static PyObject *__pyx_n_s_wordvec;
static PyObject *__pyx_n_s_wordvec_sum_gradients;
static PyObject *__pyx_pf_5glove_12glove_cython_fit_vectors(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_wordvec, __Pyx_memviewslice __pyx_v_wordvec_sum_gradients, __Pyx_memviewslice __pyx_v_wordbias, __Pyx_memviewslice __pyx_v_wordbias_sum_gradients, __Pyx_memviewslice __pyx_v_row, __Pyx_memviewslice __pyx_v_col, __Pyx_memviewslice __pyx_v_counts, __Pyx_memviewslice __pyx_v_shuffle_indices, double __pyx_v_initial_learning_rate, double __pyx_v_max_count, double __pyx_v_alpha, double __pyx_v_max_loss, CYTHON_UNUSED int __pyx_v_no_threads); /* proto */
static PyObject *__pyx_pf_5glove_12glove_cython_2transform_paragraph(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_wordvec, __Pyx_memviewslice __pyx_v_wordbias, __Pyx_memviewslice __pyx_v_paragraphvec, __Pyx_memviewslice __pyx_v_sum_gradients, __Pyx_memviewslice __pyx_v_row, __Pyx_memviewslice __pyx_v_counts, __Pyx_memviewslice __pyx_v_shuffle_indices, double __pyx_v_initial_learning_rate, double __pyx_v_max_count, double __pyx_v_alpha, int __pyx_v_epochs); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */
static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
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static PyObject *__pyx_int_1;
static PyObject *__pyx_int_184977713;
static PyObject *__pyx_int_neg_1;
static PyObject *__pyx_tuple_;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__5;
static PyObject *__pyx_tuple__6;
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static PyObject *__pyx_tuple__8;
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static PyObject *__pyx_slice__15;
static PyObject *__pyx_tuple__10;
static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__12;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_tuple__14;
static PyObject *__pyx_tuple__16;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__18;
static PyObject *__pyx_tuple__20;
static PyObject *__pyx_tuple__22;
static PyObject *__pyx_tuple__24;
static PyObject *__pyx_tuple__25;
static PyObject *__pyx_tuple__26;
static PyObject *__pyx_tuple__27;
static PyObject *__pyx_tuple__28;
static PyObject *__pyx_tuple__29;
static PyObject *__pyx_codeobj__21;
static PyObject *__pyx_codeobj__23;
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/* Late includes */
/* "glove/glove_cython.pyx":10
*
*
* cdef inline double double_min(double a, double b) nogil: return a if a <= b else b # <<<<<<<<<<<<<<
* cdef inline int int_min(int a, int b) nogil: return a if a <= b else b
* cdef inline int int_max(int a, int b) nogil: return a if a > b else b
*/
static CYTHON_INLINE double __pyx_f_5glove_12glove_cython_double_min(double __pyx_v_a, double __pyx_v_b) {
double __pyx_r;
double __pyx_t_1;
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} else {
__pyx_t_1 = __pyx_v_b;
}
__pyx_r = __pyx_t_1;
goto __pyx_L0;
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "glove/glove_cython.pyx":11
*
* cdef inline double double_min(double a, double b) nogil: return a if a <= b else b
* cdef inline int int_min(int a, int b) nogil: return a if a <= b else b # <<<<<<<<<<<<<<
* cdef inline int int_max(int a, int b) nogil: return a if a > b else b
*
*/
static CYTHON_INLINE int __pyx_f_5glove_12glove_cython_int_min(int __pyx_v_a, int __pyx_v_b) {
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/* function exit code */
__pyx_L0:;
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}
/* "glove/glove_cython.pyx":12
* cdef inline double double_min(double a, double b) nogil: return a if a <= b else b
* cdef inline int int_min(int a, int b) nogil: return a if a <= b else b
* cdef inline int int_max(int a, int b) nogil: return a if a > b else b # <<<<<<<<<<<<<<
*
*
*/
static CYTHON_INLINE int __pyx_f_5glove_12glove_cython_int_max(int __pyx_v_a, int __pyx_v_b) {
int __pyx_r;
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__pyx_r = __pyx_t_1;
goto __pyx_L0;
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "glove/glove_cython.pyx":20
*
*
* def fit_vectors(double[:, ::1] wordvec, # <<<<<<<<<<<<<<
* double[:, ::1] wordvec_sum_gradients,
* double[::1] wordbias,
*/
/* Python wrapper */
static PyObject *__pyx_pw_5glove_12glove_cython_1fit_vectors(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5glove_12glove_cython_fit_vectors[] = "\n Estimate GloVe word embeddings given the cooccurrence matrix.\n Modifies the word vector and word bias array in-place.\n\n Training is performed via asynchronous stochastic gradient descent,\n using the AdaGrad per-coordinate learning rate.\n ";
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double __pyx_v_max_count;
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int __pyx_v_word_a;
int __pyx_v_word_b;
double __pyx_v_count;
double __pyx_v_learning_rate;
double __pyx_v_gradient;
double __pyx_v_prediction;
double __pyx_v_entry_weight;
double __pyx_v_loss;
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int __pyx_v_j;
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*
*/
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goto __pyx_L12;
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/* "glove/glove_cython.pyx":82
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/* "glove/glove_cython.pyx":87
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/* "glove/glove_cython.pyx":89
* for i in range(dim):
*
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_a, i]) # <<<<<<<<<<<<<<
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*
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_a, i])
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*
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*
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/* "glove/glove_cython.pyx":107
*
* learning_rate = initial_learning_rate / sqrt(wordbias_sum_gradients[word_b])
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*/
__pyx_t_42 = __pyx_v_word_b;
*((double *) ( /* dim=0 */ ((char *) (((double *) __pyx_v_wordbias.data) + __pyx_t_42)) )) -= (__pyx_v_learning_rate * __pyx_v_loss);
/* "glove/glove_cython.pyx":108
* learning_rate = initial_learning_rate / sqrt(wordbias_sum_gradients[word_b])
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*
*
*/
__pyx_t_43 = __pyx_v_word_b;
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}
}
}
}
#if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))))
#undef likely
#undef unlikely
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#endif
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/* "glove/glove_cython.pyx":59
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__Pyx_FastGIL_Forget();
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goto __pyx_L5;
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__pyx_L5:;
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/* "glove/glove_cython.pyx":20
*
*
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*
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/* "View.MemoryView":846
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goto __pyx_L14;
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/* "View.MemoryView":850
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/* "View.MemoryView":846
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/* "View.MemoryView":841
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*
* if have_start: # <<<<<<<<<<<<<<
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goto __pyx_L11;
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__pyx_L15:;
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__pyx_L11:;
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Py_ssize_t __pyx_r;
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/* "View.MemoryView":1110
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/* "View.MemoryView":1116
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int __pyx_t_3;
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goto __pyx_L4_break;
/* "View.MemoryView":1125
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__pyx_L4_break:;
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/* "View.MemoryView":1130
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__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
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/* "View.MemoryView":1131
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goto __pyx_L7_break;
/* "View.MemoryView":1130
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/* "View.MemoryView":1116
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/* "View.MemoryView":1140
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CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
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Py_ssize_t __pyx_v_src_stride;
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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;
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/* "View.MemoryView":1148
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/* "View.MemoryView":1149
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/* "View.MemoryView":1150
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/* "View.MemoryView":1153
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__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
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__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
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/* "View.MemoryView":1153
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/* "View.MemoryView":1155
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(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
/* "View.MemoryView":1153
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goto __pyx_L4;
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/* "View.MemoryView":1157
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/* "View.MemoryView":1158
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* 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,
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*/
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,
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*
*/
_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
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*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
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*/
/* function exit code */
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/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
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*/
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;
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*
* for shape in src.shape[:ndim]:
*/
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__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1181
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*
* for shape in src.shape[:ndim]: # <<<<<<<<<<<<<<
* size *= shape
*
*/
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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
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*
* return size # <<<<<<<<<<<<<<
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* @cname('__pyx_fill_contig_strides_array')
*/
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/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
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*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
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/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
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int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1196
* cdef int idx
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if (__pyx_t_1) {
/* "View.MemoryView":1197
*
* if order == 'F':
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* strides[idx] = stride
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*/
__pyx_t_2 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_2;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_idx = __pyx_t_4;
/* "View.MemoryView":1198
* if order == 'F':
* for idx in range(ndim):
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* stride *= shape[idx]
* else:
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1199
* for idx in range(ndim):
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*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
/* "View.MemoryView":1196
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
goto __pyx_L3;
}
/* "View.MemoryView":1201
* stride *= shape[idx]
* else:
* for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride *= shape[idx]
*/
/*else*/ {
for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {
__pyx_v_idx = __pyx_t_2;
/* "View.MemoryView":1202
* else:
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* stride *= shape[idx]
*
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1203
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__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
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__pyx_L3:;
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*
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*/
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goto __pyx_L0;
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
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__pyx_L0:;
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/* "View.MemoryView":1208
*
* @cname('__pyx_memoryview_copy_data_to_temp')
* cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *tmpslice,
* char order,
*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {
int __pyx_v_i;
void *__pyx_v_result;
size_t __pyx_v_itemsize;
size_t __pyx_v_size;
void *__pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
struct __pyx_memoryview_obj *__pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
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/* "View.MemoryView":1220
*
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* cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<<
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/* "View.MemoryView":1222
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*
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/* "View.MemoryView":1223
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/* "View.MemoryView":1224
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/* "View.MemoryView":1223
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*/
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*/
__pyx_v_tmpslice->data = ((char *)__pyx_v_result);
/* "View.MemoryView":1228
*
* tmpslice.data = <char *> result
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* for i in range(ndim):
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__pyx_v_tmpslice->memview = __pyx_t_4;
/* "View.MemoryView":1229
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__pyx_t_3 = __pyx_v_ndim;
__pyx_t_5 = __pyx_t_3;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1230
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*
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*
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(__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L;
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/* "View.MemoryView":1233
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*
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*
*/
(void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order));
/* "View.MemoryView":1237
*
*
* for i in range(ndim): # <<<<<<<<<<<<<<
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__pyx_t_5 = __pyx_t_3;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1238
*
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/* "View.MemoryView":1239
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/* "View.MemoryView":1241
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__pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0);
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/* "View.MemoryView":1242
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(void)(memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size));
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goto __pyx_L9;
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/* "View.MemoryView":1208
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* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
goto __pyx_L12;
}
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1316
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<<
*
* if direct_copy:
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
}
__pyx_L12:;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_2 = (__pyx_v_direct_copy != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1320
* if direct_copy:
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1321
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
*/
(void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));
/* "View.MemoryView":1322
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
* free(tmpdata)
* return 0
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1323
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1324
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* free(tmpdata)
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* if order == 'F' == get_best_order(&dst, ndim):
*/
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/* "View.MemoryView":1318
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*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
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/* "View.MemoryView":1310
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*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
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/* "View.MemoryView":1326
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*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
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if (__pyx_t_2) {
__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
__pyx_t_8 = (__pyx_t_2 != 0);
if (__pyx_t_8) {
/* "View.MemoryView":1329
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
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*/
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/* "View.MemoryView":1330
*
* transpose_memslice(&src)
* transpose_memslice(&dst) # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1330, __pyx_L1_error)
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*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
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/* "View.MemoryView":1332
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*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1333
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
*/
copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1334
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
*
* free(tmpdata)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1336
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*
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* free(tmpdata)
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/* "View.MemoryView":1268
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/* function exit code */
__pyx_L1_error:;
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/* "View.MemoryView":1340
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int __pyx_v_offset;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
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/* "View.MemoryView":1346
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* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
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for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
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* for i in range(ndim - 1, -1, -1):
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/* "View.MemoryView":1348
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*/
(__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1349
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(__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
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/* "View.MemoryView":1351
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*
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__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1352
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* for i in range(offset):
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/* "View.MemoryView":1353
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/* "View.MemoryView":1362
*
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/* "View.MemoryView":1367
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/* "View.MemoryView":1362
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/* "View.MemoryView":1371
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* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
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/* "View.MemoryView":1371
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Py_INCREF((((PyObject **)__pyx_v_data)[0]));
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__pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc);
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/* "View.MemoryView":1377
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/* "View.MemoryView":1397
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/* "View.MemoryView":1400
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__pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1401
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__pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item);
/* "View.MemoryView":1403
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*
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__pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1397
*
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/* function exit code */
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/* "View.MemoryView":1407
*
* @cname('__pyx_memoryview__slice_assign_scalar')
* cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<<
* Py_ssize_t *strides, int ndim,
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static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) {
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/* "View.MemoryView":1411
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if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) {
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PyObject *v = __Pyx_PyObject_GenericGetAttr(o, n);
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PyErr_Clear();
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static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) {
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{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_array_1__reduce_cython__, METH_NOARGS, 0},
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0, /*sq_concat*/
0, /*sq_repeat*/
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0, /*sq_ass_item*/
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0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
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__pyx_array___len__, /*mp_length*/
__pyx_array___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_array, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_array = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
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#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
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#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
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__pyx_array_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
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"glove.glove_cython.array", /*tp_name*/
sizeof(struct __pyx_array_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_array, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
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#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
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0, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_array, /*tp_as_sequence*/
&__pyx_tp_as_mapping_array, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
__pyx_tp_getattro_array, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_array, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/
0, /*tp_doc*/
0, /*tp_traverse*/
0, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_array, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_array, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_array, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
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#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
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#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
struct __pyx_MemviewEnum_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_MemviewEnum_obj *)o);
p->name = Py_None; Py_INCREF(Py_None);
return o;
}
static void __pyx_tp_dealloc_Enum(PyObject *o) {
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
Py_CLEAR(p->name);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
if (p->name) {
e = (*v)(p->name, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_Enum(PyObject *o) {
PyObject* tmp;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
tmp = ((PyObject*)p->name);
p->name = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
return 0;
}
static PyMethodDef __pyx_methods_Enum[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
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PyVarObject_HEAD_INIT(0, 0)
"glove.glove_cython.Enum", /*tp_name*/
sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_Enum, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_MemviewEnum___repr__, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_Enum, /*tp_traverse*/
__pyx_tp_clear_Enum, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_Enum, /*tp_methods*/
0, /*tp_members*/
0, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
__pyx_MemviewEnum___init__, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_Enum, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
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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);
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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);
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if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;
return o;
bad:
Py_DECREF(o); o = 0;
return NULL;
}
static void __pyx_tp_dealloc_memoryview(PyObject *o) {
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_memoryview___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
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int e;
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}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
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}
if (p->view.obj) {
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}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
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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);
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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;
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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;
}
}
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}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
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{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
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{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"glove.glove_cython.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
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0, /*tp_finalize*/
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0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
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static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_memoryviewslice___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
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return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}
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{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
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{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
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PyVarObject_HEAD_INIT(0, 0)
"glove.glove_cython._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
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0, /*tp_print*/
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0, /*tp_vectorcall_offset*/
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0, /*tp_compare*/
#endif
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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*/
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__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
"Internal class for passing memoryview slices to Python", /*tp_doc*/
__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
__pyx_tp_clear__memoryviewslice, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods__memoryviewslice, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets__memoryviewslice, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new__memoryviewslice, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
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#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyMethodDef __pyx_methods[] = {
{0, 0, 0, 0}
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#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_glove_cython(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
{Py_mod_create, (void*)__pyx_pymod_create},
{Py_mod_exec, (void*)__pyx_pymod_exec_glove_cython},
{0, NULL}
};
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PyModuleDef_HEAD_INIT,
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0, /* m_doc */
#if CYTHON_PEP489_MULTI_PHASE_INIT
0, /* m_size */
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__pyx_methods /* m_methods */,
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__pyx_moduledef_slots, /* m_slots */
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NULL, /* m_reload */
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NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
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#define CYTHON_SMALL_CODE
#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3))
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/* "View.MemoryView":287
*
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__pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__25, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 287, __pyx_L1_error)
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/* "View.MemoryView":288
* cdef generic = Enum("<strided and direct or indirect>")
* cdef strided = Enum("<strided and direct>") # default
* cdef indirect = Enum("<strided and indirect>") # <<<<<<<<<<<<<<
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*
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__pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__26, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 288, __pyx_L1_error)
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/* "View.MemoryView":291
*
*
* cdef contiguous = Enum("<contiguous and direct>") # <<<<<<<<<<<<<<
* cdef indirect_contiguous = Enum("<contiguous and indirect>")
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__pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__27, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 291, __pyx_L1_error)
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/* "View.MemoryView":292
*
* cdef contiguous = Enum("<contiguous and direct>")
* cdef indirect_contiguous = Enum("<contiguous and indirect>") # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__28, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 292, __pyx_L1_error)
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__pyx_t_2 = 0;
/* "View.MemoryView":316
*
* DEF THREAD_LOCKS_PREALLOCATED = 8
* cdef int __pyx_memoryview_thread_locks_used = 0 # <<<<<<<<<<<<<<
* cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [
* PyThread_allocate_lock(),
*/
__pyx_memoryview_thread_locks_used = 0;
/* "View.MemoryView":317
* DEF THREAD_LOCKS_PREALLOCATED = 8
* cdef int __pyx_memoryview_thread_locks_used = 0
* cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [ # <<<<<<<<<<<<<<
* PyThread_allocate_lock(),
* PyThread_allocate_lock(),
*/
__pyx_t_3[0] = PyThread_allocate_lock();
__pyx_t_3[1] = PyThread_allocate_lock();
__pyx_t_3[2] = PyThread_allocate_lock();
__pyx_t_3[3] = PyThread_allocate_lock();
__pyx_t_3[4] = PyThread_allocate_lock();
__pyx_t_3[5] = PyThread_allocate_lock();
__pyx_t_3[6] = PyThread_allocate_lock();
__pyx_t_3[7] = PyThread_allocate_lock();
memcpy(&(__pyx_memoryview_thread_locks[0]), __pyx_t_3, sizeof(__pyx_memoryview_thread_locks[0]) * (8));
/* "View.MemoryView":549
* info.obj = self
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*
*
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__pyx_t_2 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 549, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_2);
if (PyDict_SetItem((PyObject *)__pyx_memoryview_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_2) < 0) __PYX_ERR(1, 549, __pyx_L1_error)
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PyType_Modified(__pyx_memoryview_type);
/* "View.MemoryView":995
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*
*
*/
__pyx_t_2 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 995, __pyx_L1_error)
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if (PyDict_SetItem((PyObject *)__pyx_memoryviewslice_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_2) < 0) __PYX_ERR(1, 995, __pyx_L1_error)
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/* "(tree fragment)":1
* def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<<
* cdef object __pyx_PickleError
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*/
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum, NULL, __pyx_n_s_View_MemoryView); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_2);
if (PyDict_SetItem(__pyx_d, __pyx_n_s_pyx_unpickle_Enum, __pyx_t_2) < 0) __PYX_ERR(1, 1, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "(tree fragment)":11
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* return __pyx_result
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* __pyx_result.name = __pyx_state[0]
* if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'):
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/*--- Wrapped vars code ---*/
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_2);
if (__pyx_m) {
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__Pyx_AddTraceback("init glove.glove_cython", __pyx_clineno, __pyx_lineno, __pyx_filename);
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Py_CLEAR(__pyx_m);
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__pyx_L0:;
__Pyx_RefNannyFinishContext();
#if CYTHON_PEP489_MULTI_PHASE_INIT
return (__pyx_m != NULL) ? 0 : -1;
#elif PY_MAJOR_VERSION >= 3
return __pyx_m;
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return;
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/* --- Runtime support code --- */
/* Refnanny */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
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void *r = NULL;
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p = PyObject_GetAttrString(m, "RefNannyAPI");
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Py_XDECREF(p);
Py_XDECREF(m);
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/* 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))
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#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));
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}
return result;
}
/* 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;
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more_or_less = "at least";
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num_expected = num_max;
more_or_less = "at most";
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if (exact) {
more_or_less = "exactly";
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PyErr_Format(PyExc_TypeError,
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func_name, more_or_less, num_expected,
(num_expected == 1) ? "" : "s", num_found);
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/* RaiseDoubleKeywords */
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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));
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/* ParseKeywords */
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PyObject *kwds,
PyObject **argnames[],
PyObject *kwds2,
PyObject *values[],
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PyObject *key = 0, *value = 0;
Py_ssize_t pos = 0;
PyObject*** name;
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name = first_kw_arg;
#if PY_MAJOR_VERSION < 3
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if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
&& _PyString_Eq(**name, key)) {
values[name-argnames] = value;
break;
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name++;
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if ((**argname == key) || (
(CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
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goto arg_passed_twice;
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int cmp = (**name == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**name, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
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values[name-argnames] = value;
break;
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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
(PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**argname, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) goto arg_passed_twice;
argname++;
}
}
} else
goto invalid_keyword_type;
if (kwds2) {
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
} else {
goto invalid_keyword;
}
}
return 0;
arg_passed_twice:
__Pyx_RaiseDoubleKeywordsError(function_name, key);
goto bad;
invalid_keyword_type:
PyErr_Format(PyExc_TypeError,
"%.200s() keywords must be strings", function_name);
goto bad;
invalid_keyword:
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION < 3
"%.200s() got an unexpected keyword argument '%.200s'",
function_name, PyString_AsString(key));
#else
"%s() got an unexpected keyword argument '%U'",
function_name, key);
#endif
bad:
return -1;
}
/* MemviewSliceInit */
static int
__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference)
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__Pyx_RefNannyDeclarations
int i, retval=-1;
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PyErr_SetString(PyExc_ValueError,
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goto fail;
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for (i = 0; i < ndim; i++) {
memviewslice->strides[i] = buf->strides[i];
}
} else {
Py_ssize_t stride = buf->itemsize;
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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);
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retval = 0;
goto no_fail;
fail:
memviewslice->memview = 0;
memviewslice->data = 0;
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
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#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 (!memview || (PyObject *) memview == Py_None)
return;
if (__pyx_get_slice_count(memview) < 0)
__pyx_fatalerror("Acquisition count is %d (line %d)",
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first_time = __pyx_add_acquisition_count(memview) == 0;
if (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 (!memview ) {
return;
} else if ((PyObject *) memview == Py_None) {
memslice->memview = NULL;
return;
}
if (__pyx_get_slice_count(memview) <= 0)
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
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memslice->data = NULL;
if (last_time) {
if (have_gil) {
Py_CLEAR(memslice->memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_CLEAR(memslice->memview);
PyGILState_Release(_gilstate);
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} else {
memslice->memview = NULL;
}
}
/* ArgTypeTest */
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
{
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
else if (exact) {
#if PY_MAJOR_VERSION == 2
if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
#endif
}
else {
if (likely(__Pyx_TypeCheck(obj, type))) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
/* PyObjectCall */
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static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = func->ob_type->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyErrFetchRestore */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
}
#endif
/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
__Pyx_PyThreadState_declare
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
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if (PyType_Check(type)) {
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if (!value) {
Py_INCREF(Py_None);
value = Py_None;
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PyErr_NormalizeException(&type, &value, &tb);
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PyErr_SetString(PyExc_TypeError,
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goto raise_error;
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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;
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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;
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goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
PyObject *args, *result = NULL;
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyFunction_FastCall(function, args, 2);
}
#endif
#if CYTHON_FAST_PYCCALL
if (__Pyx_PyFastCFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyCFunction_FastCall(function, args, 2);
}
#endif
args = PyTuple_New(2);
if (unlikely(!args)) goto done;
Py_INCREF(arg1);
PyTuple_SET_ITEM(args, 0, arg1);
Py_INCREF(arg2);
PyTuple_SET_ITEM(args, 1, arg2);
Py_INCREF(function);
result = __Pyx_PyObject_Call(function, args, NULL);
Py_DECREF(args);
Py_DECREF(function);
done:
return result;
}
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
length = stop - start;
if (unlikely(length <= 0))
return PyUnicode_FromUnicode(NULL, 0);
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
PyObject **dictptr = NULL;
Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
dictptr = _PyObject_GetDictPtr(obj);
#endif
}
return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
return 0;
return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif
/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
} else if (unlikely(PyErr_Occurred())) {
return NULL;
}
#else
result = PyDict_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
#endif
#else
result = PyObject_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
PyErr_Clear();
#endif
return __Pyx_GetBuiltinName(name);
}
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* GetTopmostException */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
_PyErr_StackItem *exc_info = tstate->exc_info;
while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
exc_info->previous_item != NULL)
{
exc_info = exc_info->previous_item;
}
return exc_info;
}
#endif
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
*type = exc_info->exc_type;
*value = exc_info->exc_value;
*tb = exc_info->exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = type;
exc_info->exc_value = value;
exc_info->exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
#endif
{
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if CYTHON_USE_EXC_INFO_STACK
{
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = local_type;
exc_info->exc_value = local_value;
exc_info->exc_traceback = local_tb;
}
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = *type;
exc_info->exc_value = *value;
exc_info->exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if (strchr(__Pyx_MODULE_NAME, '.')) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
assert(PyExceptionClass_Check(exc_type));
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
PyObject *t = PyTuple_GET_ITEM(tuple, i);
#if PY_MAJOR_VERSION < 3
if (likely(exc_type == t)) return 1;
#endif
if (likely(PyExceptionClass_Check(t))) {
if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
} else {
}
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
if (likely(PyExceptionClass_Check(exc_type))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
} else if (likely(PyTuple_Check(exc_type))) {
return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
} else {
}
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
assert(PyExceptionClass_Check(exc_type1));
assert(PyExceptionClass_Check(exc_type2));
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
(void)inplace;
(void)zerodivision_check;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* PyObject_GenericGetAttrNoDict */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
"'%.50s' object has no attribute '%U'",
tp->tp_name, attr_name);
#else
"'%.50s' object has no attribute '%.400s'",
tp->tp_name, PyString_AS_STRING(attr_name));
#endif
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
PyObject *descr;
PyTypeObject *tp = Py_TYPE(obj);
if (unlikely(!PyString_Check(attr_name))) {
return PyObject_GenericGetAttr(obj, attr_name);
}
assert(!tp->tp_dictoffset);
descr = _PyType_Lookup(tp, attr_name);
if (unlikely(!descr)) {
return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
}
Py_INCREF(descr);
#if PY_MAJOR_VERSION < 3
if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
#endif
{
descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
if (unlikely(f)) {
PyObject *res = f(descr, obj, (PyObject *)tp);
Py_DECREF(descr);
return res;
}
}
return descr;
}
#endif
/* PyObject_GenericGetAttr */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
return PyObject_GenericGetAttr(obj, attr_name);
}
return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* 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 GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto 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 BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto 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_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto BAD;
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto GOOD;
BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
if (unlikely(!__pyx_cython_runtime)) {
return c_line;
}
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
__PYX_PY_DICT_LOOKUP_IF_MODIFIED(
use_cline, *cython_runtime_dict,
__Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t <= '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case '?': return "'bool'";
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number;
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_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->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 (buf->strides[dim] != sizeof(void *)) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (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 (stride < buf->itemsize) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (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 (spec & (__Pyx_MEMVIEW_PTR)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (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 (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 (!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 (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 (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 (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 (!__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 "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (!__pyx_check_strides(buf, i, ndim, spec))
goto fail;
if (!__pyx_check_suboffsets(buf, i, ndim, spec))
goto fail;
}
if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (from_mvs->suboffsets[i] >= 0) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
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PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
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PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
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PyOS_snprintf(message, sizeof(message),
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ctversion, __Pyx_MODULE_NAME, rtversion);
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PyUnicode_AsASCIIString(o);
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__Pyx_sys_getdefaultencoding_not_ascii &&
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char* result;
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int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
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Py_DECREF(x);
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#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 "
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Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
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}
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PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
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static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
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const char *name = NULL;
PyObject *res = NULL;
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if (likely(PyInt_Check(x) || PyLong_Check(x)))
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if (likely(PyLong_Check(x)))
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return __Pyx_NewRef(x);
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PyErr_SetString(PyExc_TypeError,
"an integer is required");
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PyObject *x;
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if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
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return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
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return PyInt_FromSize_t(ival);
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#endif /* Py_PYTHON_H */
|
sparse_tsne_user_def_probabilities_inl.h | /*
*
* Copyright (c) 2014, Nicola Pezzotti (Delft University of Technology)
* 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. All advertising materials mentioning features or use of this software
* must display the following acknowledgement:
* This product includes software developed by the Delft University of Technology.
* 4. Neither the name of the Delft University of Technology 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 NICOLA PEZZOTTI ''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 NICOLA PEZZOTTI BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
* BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
* IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
* OF SUCH DAMAGE.
*
*/
#ifndef SPARSE_TSNE_USER_DEF_PROBABILITIES_INL
#define SPARSE_TSNE_USER_DEF_PROBABILITIES_INL
#include "hdi/dimensionality_reduction/sparse_tsne_user_def_probabilities.h"
#include "hdi/utils/math_utils.h"
#include "hdi/utils/log_helper_functions.h"
#include "hdi/utils/scoped_timers.h"
#include "sptree.h"
#include <random>
#ifdef __USE_GCD__
#include <dispatch/dispatch.h>
#endif
#pragma warning( push )
#pragma warning( disable : 4267)
#pragma warning( push )
#pragma warning( disable : 4291)
#pragma warning( push )
#pragma warning( disable : 4996)
#pragma warning( push )
#pragma warning( disable : 4018)
#pragma warning( push )
#pragma warning( disable : 4244)
//#define FLANN_USE_CUDA
#include "flann/flann.h"
#pragma warning( pop )
#pragma warning( pop )
#pragma warning( pop )
#pragma warning( pop )
#pragma warning( pop )
namespace hdi{
namespace dr{
template <typename scalar, typename sparse_scalar_matrix>
SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::SparseTSNEUserDefProbabilities():
_initialized(false),
_logger(nullptr),
_theta(0),
_exaggeration_baseline(1)
{
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::reset(){
_initialized = false;
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::clear(){
_embedding->clear();
_initialized = false;
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::getEmbeddingPosition(scalar_vector_type& embedding_position, data_handle_type handle)const{
if(!_initialized){
throw std::logic_error("Algorithm must be initialized before ");
}
embedding_position.resize(_params._embedding_dimensionality);
for(int i = 0; i < _params._embedding_dimensionality; ++i){
(*_embedding_container)[i] = (*_embedding_container)[handle*_params._embedding_dimensionality + i];
}
}
/////////////////////////////////////////////////////////////////////////
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::initialize(const sparse_scalar_matrix& probabilities, data::Embedding<scalar_type>* embedding, TsneParameters params){
utils::secureLog(_logger,"Initializing tSNE...");
{//Aux data
_params = params;
unsigned int size = probabilities.size();
unsigned int size_sq = probabilities.size()*probabilities.size();
_embedding = embedding;
_embedding_container = &(embedding->getContainer());
_embedding->resize(_params._embedding_dimensionality,size);
_P.resize(size);
_Q.resize(size_sq);
_gradient.resize(size*params._embedding_dimensionality,0);
_previous_gradient.resize(size*params._embedding_dimensionality,0);
_gain.resize(size*params._embedding_dimensionality,1);
}
utils::secureLogValue(_logger,"Number of data points",_P.size());
computeHighDimensionalDistribution(probabilities);
initializeEmbeddingPosition(params._seed, params._rngRange);
_iteration = 0;
_initialized = true;
utils::secureLog(_logger,"Initialization complete!");
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::initializeWithJointProbabilityDistribution(const sparse_scalar_matrix& distribution, data::Embedding<scalar_type>* embedding, TsneParameters params){
utils::secureLog(_logger,"Initializing tSNE with a user-defined joint-probability distribution...");
{//Aux data
_params = params;
unsigned int size = distribution.size();
unsigned int size_sq = distribution.size()*distribution.size();
_embedding = embedding;
_embedding_container = &(embedding->getContainer());
_embedding->resize(_params._embedding_dimensionality,size);
_P.resize(size);
_Q.resize(size_sq);
_gradient.resize(size*params._embedding_dimensionality,0);
_previous_gradient.resize(size*params._embedding_dimensionality,0);
_gain.resize(size*params._embedding_dimensionality,1);
}
utils::secureLogValue(_logger,"Number of data points",_P.size());
_P = distribution;
initializeEmbeddingPosition(params._seed, params._rngRange);
_iteration = 0;
_initialized = true;
utils::secureLog(_logger,"Initialization complete!");
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::computeHighDimensionalDistribution(const sparse_scalar_matrix& probabilities){
utils::secureLog(_logger,"Computing high-dimensional joint probability distribution...");
const int n = getNumberOfDataPoints();
//Can be improved by using the simmetry of the matrix (half the memory) //TODO
for(int j = 0; j < n; ++j){
for(auto& elem: probabilities[j]){
scalar_type v0 = elem.second;
auto iter = probabilities[elem.first].find(j);
scalar_type v1 = 0.;
if(iter != probabilities[elem.first].end())
v1 = iter->second;
_P[j][elem.first] = static_cast<scalar_type>((v0+v1)*0.5);
_P[elem.first][j] = static_cast<scalar_type>((v0+v1)*0.5);
}
}
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::initializeEmbeddingPosition(int seed, double multiplier){
utils::secureLog(_logger,"Initializing the embedding...");
if(seed < 0){
std::srand(static_cast<unsigned int>(time(NULL)));
}
else{
std::srand(seed);
}
for (int i = 0; i < _embedding->numDataPoints(); ++i) {
double x(0.);
double y(0.);
double radius(0.);
do {
x = 2 * (rand() / ((double)RAND_MAX + 1)) - 1;
y = 2 * (rand() / ((double)RAND_MAX + 1)) - 1;
radius = (x * x) + (y * y);
} while((radius >= 1.0) || (radius == 0.0));
radius = sqrt(-2 * log(radius) / radius);
x *= radius * multiplier;
y *= radius * multiplier;
_embedding->dataAt(i, 0) = x;
_embedding->dataAt(i, 1) = y;
}
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::doAnIteration(double mult){
if(!_initialized){
throw std::logic_error("Cannot compute a gradient descent iteration on unitialized data");
}
if(_iteration == _params._mom_switching_iter){
utils::secureLog(_logger,"Switch to final momentum...");
}
if(_iteration == _params._remove_exaggeration_iter){
utils::secureLog(_logger,"Remove exaggeration...");
}
if(_theta == 0){
doAnIterationExact(mult);
}else{
doAnIterationBarnesHut(mult);
}
}
template <typename scalar, typename sparse_scalar_matrix>
scalar SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::exaggerationFactor(){
scalar_type exaggeration = _exaggeration_baseline;
if(_iteration <= _params._remove_exaggeration_iter){
exaggeration = _params._exaggeration_factor;
}else if(_iteration <= (_params._remove_exaggeration_iter + _params._exponential_decay_iter)){
//double decay = std::exp(-scalar_type(_iteration-_params._remove_exaggeration_iter)/30.);
double decay = 1. - double(_iteration-_params._remove_exaggeration_iter)/_params._exponential_decay_iter;
exaggeration = _exaggeration_baseline + (_params._exaggeration_factor-_exaggeration_baseline)*decay;
//utils::secureLogValue(_logger,"Exaggeration decay...",exaggeration);
}
return exaggeration;
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::doAnIterationExact(double mult){
//Compute Low-dimensional distribution
computeLowDimensionalDistribution();
//Compute gradient of the KL function
computeExactGradient(exaggerationFactor());
//Update the embedding based on the gradient
updateTheEmbedding(mult);
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::doAnIterationBarnesHut(double mult){
//Compute gradient of the KL function using the Barnes Hut approximation
computeBarnesHutGradient(exaggerationFactor());
//Update the embedding based on the gradient
updateTheEmbedding();
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::computeLowDimensionalDistribution(){
const int n = getNumberOfDataPoints();
#ifdef __USE_GCD__
//std::cout << "GCD dispatch, sparse_tsne_user_def_probabilities 285.\n";
dispatch_apply(n, dispatch_get_global_queue(0, 0), ^(size_t j) {
#else
#pragma omp parallel for
for(int j = 0; j < n; ++j){
#endif //__USE_GCD__
_Q[j*n + j] = 0;
for(int i = j+1; i < n; ++i){
const double euclidean_dist_sq(
utils::euclideanDistanceSquared<scalar_type>(
(*_embedding_container).begin()+j*_params._embedding_dimensionality,
(*_embedding_container).begin()+(j+1)*_params._embedding_dimensionality,
(*_embedding_container).begin()+i*_params._embedding_dimensionality,
(*_embedding_container).begin()+(i+1)*_params._embedding_dimensionality
)
);
const double v = 1./(1.+euclidean_dist_sq);
_Q[j*n + i] = static_cast<scalar_type>(v);
_Q[i*n + j] = static_cast<scalar_type>(v);
}
}
#ifdef __USE_GCD__
);
#endif // __USE_GCD__
double sum_Q = 0;
for(auto& v : _Q){
sum_Q += v;
}
_normalization_Q = static_cast<scalar_type>(sum_Q);
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::computeExactGradient(double exaggeration){
const int n = getNumberOfDataPoints();
const int dim = _params._embedding_dimensionality;
for(int i = 0; i < n; ++i){
for(int d = 0; d < dim; ++d){
_gradient[i * dim + d] = 0;
}
}
for(int i = 0; i < n; ++i){
for(int j = 0; j < n; ++j){
for(int d = 0; d < dim; ++d){
const int idx = i*n + j;
const double distance((*_embedding_container)[i * dim + d] - (*_embedding_container)[j * dim + d]);
const double negative(_Q[idx] * _Q[idx] / _normalization_Q * distance);
_gradient[i * dim + d] += static_cast<scalar_type>(-4*negative);
}
}
for(auto& elem: _P[i]){
for(int d = 0; d < dim; ++d){
const int j = elem.first;
const int idx = i*n + j;
const double distance((*_embedding_container)[i * dim + d] - (*_embedding_container)[j * dim + d]);
double p_ij = elem.second/n;
const double positive(p_ij * _Q[idx] * distance);
_gradient[i * dim + d] += static_cast<scalar_type>(4*exaggeration*positive);
}
}
}
}
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::computeBarnesHutGradient(double exaggeration){
typedef double hp_scalar_type;
SPTree<scalar_type> sptree(_params._embedding_dimensionality,_embedding->getContainer().data(),getNumberOfDataPoints());
scalar_type sum_Q = .0;
std::vector<hp_scalar_type> positive_forces(getNumberOfDataPoints()*_params._embedding_dimensionality);
/*__block*/ std::vector<hp_scalar_type> negative_forces(getNumberOfDataPoints()*_params._embedding_dimensionality);
sptree.computeEdgeForces(_P, exaggeration, positive_forces.data());
/*__block*/ std::vector<hp_scalar_type> sum_Q_subvalues(getNumberOfDataPoints(),0);
//#ifdef __USE_GCD__
// std::cout << "GCD dispatch, sparse_tsne_user_def_probabilities 365.\n";
// dispatch_apply(getNumberOfDataPoints(), dispatch_get_global_queue(0, 0), ^(size_t n) {
//#else
#pragma omp parallel for
for(int n = 0; n < getNumberOfDataPoints(); n++){
//#endif //__USE_GCD__
sptree.computeNonEdgeForcesOMP(n, _theta, negative_forces.data() + n * _params._embedding_dimensionality, sum_Q_subvalues[n]);
}
//#ifdef __USE_GCD__
// );
//#endif
sum_Q = 0;
for(int n = 0; n < getNumberOfDataPoints(); n++){
sum_Q += sum_Q_subvalues[n];
}
for(int i = 0; i < _gradient.size(); i++){
_gradient[i] = positive_forces[i] - (negative_forces[i] / sum_Q);
}
}
//temp
template <typename T>
T sign(T x) { return (x == .0 ? .0 : (x < .0 ? -1.0 : 1.0)); }
template <typename scalar, typename sparse_scalar_matrix>
void SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::updateTheEmbedding(double mult){
for(int i = 0; i < _gradient.size(); ++i){
_gain[i] = static_cast<scalar_type>((sign(_gradient[i]) != sign(_previous_gradient[i])) ? (_gain[i] + .2) : (_gain[i] * .8));
if(_gain[i] < _params._minimum_gain){
_gain[i] = static_cast<scalar_type>(_params._minimum_gain);
}
_gradient[i] = static_cast<scalar_type>((_gradient[i]>0?1:-1)*std::abs(_gradient[i]*_params._eta* _gain[i])/(_params._eta*_gain[i]));
_previous_gradient[i] = static_cast<scalar_type>(((_iteration<_params._mom_switching_iter)?_params._momentum:_params._final_momentum) * _previous_gradient[i] - _params._eta * _gain[i] * _gradient[i]);
(*_embedding_container)[i] += static_cast<scalar_type>(_previous_gradient[i] * mult);
}
//MAGIC NUMBER
if(exaggerationFactor() > 1.2){
_embedding->scaleIfSmallerThan(0.1f);
}else{
_embedding->zeroCentered();
}
++_iteration;
}
template <typename scalar, typename sparse_scalar_matrix>
double SparseTSNEUserDefProbabilities<scalar, sparse_scalar_matrix>::computeKullbackLeiblerDivergence(){
assert(false);
return 0;
}
}
}
#endif
|
LAGraph_matrix_extract_keep_dimensions.c | //------------------------------------------------------------------------------
// LAGraph_matrix_extract_keep_dimensions: extract submatrix but keep the
// dimensions of the original matrix
// ------------------------------------------------------------------------------
/*
LAGraph: graph algorithms based on GraphBLAS
Copyright 2019 LAGraph Contributors.
(see Contributors.txt for a full list of Contributors; see
ContributionInstructions.txt for information on how you can Contribute to
this project).
All Rights Reserved.
NO WARRANTY. THIS MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. THE LAGRAPH
CONTRIBUTORS MAKE NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED,
AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR
PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF
THE MATERIAL. THE CONTRIBUTORS DO NOT MAKE ANY WARRANTY OF ANY KIND WITH
RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT.
Released under a BSD license, please see the LICENSE file distributed with
this Software or contact permission@sei.cmu.edu for full terms.
Created, in part, with funding and support from the United States
Government. (see Acknowledgments.txt file).
This program includes and/or can make use of certain third party source
code, object code, documentation and other files ("Third Party Software").
See LICENSE file for more details.
*/
//------------------------------------------------------------------------------
// LAGraph_Matrix_extract_keep_dimensions: Contributed by Gabor Szarnyas.
// Budapest University of Technology and Economics
// (with accented characters: G\'{a}bor Sz\'{a}rnyas).
// Compute the
#include "LAGraph_internal.h"
#define LAGRAPH_FREE_ALL \
{ \
LAGRAPH_FREE (C) ; \
LAGRAPH_FREE (type) ; \
}
typedef struct
{
const GrB_Index nv; // number of vertices
const bool* Vdense; // array denoting whether a vertex should be kept
} Vdense_struct_type;
static bool select_submatrix_elements_fun(const GrB_Index i, const GrB_Index j,
const GrB_Index nrows, const GrB_Index ncols,
const void *x, const void *thunk)
{
Vdense_struct_type* indices = (Vdense_struct_type*) (thunk);
return indices->Vdense[i] && indices->Vdense[j];
}
//------------------------------------------------------------------------------
GrB_Info LAGraph_Matrix_extract_keep_dimensions // extract submatrix but keep
// the dimensions of the
// original matrix
(
GrB_Matrix *Chandle, // output matrix
const GrB_Matrix A, // input matrix
const GrB_Index *Vsparse, // sorted list of vertex indices
const bool *Vdense, // boolean array of vertices
GrB_Index nv // number of vertex indices
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
GrB_Info info ;
GrB_Type type;
GrB_Index n ;
GrB_Matrix C = NULL ;
LAGr_Matrix_type(&type, A)
LAGr_Matrix_nrows (&n, A)
LAGr_Matrix_new (&C, type, n, n)
if (Vsparse == NULL && Vdense == NULL)
{
LAGRAPH_ERROR("Both Vsparse and Vdense are set to NULL", GrB_NULL_POINTER)
}
if (Vsparse == NULL) // use Vdense and GxB_select
{
Vdense_struct_type vdense_struct = {.nv = nv, .Vdense = Vdense};
GrB_Type Vdense_type;
LAGr_Type_new(&Vdense_type, sizeof(vdense_struct))
GxB_Scalar vdense_thunk;
LAGr_Scalar_new(&vdense_thunk, Vdense_type)
LAGr_Scalar_setElement(vdense_thunk, (void*) &vdense_struct)
GxB_SelectOp select_submatrix_elements_op;
LAGr_SelectOp_new(&select_submatrix_elements_op, select_submatrix_elements_fun, NULL, Vdense_type)
LAGr_select(C, NULL, NULL, select_submatrix_elements_op, A, vdense_thunk, NULL)
LAGRAPH_FREE(select_submatrix_elements_op)
LAGRAPH_FREE(vdense_thunk)
LAGRAPH_FREE(Vdense_type)
}
else
{
GrB_Matrix D; // diagonal matrix used to select rows/columns
LAGr_Matrix_new(&D, GrB_BOOL, n, n);
bool* X = LAGraph_malloc(nv, sizeof(GrB_BOOL)) ;
if (X == NULL)
{
LAGRAPH_ERROR("out of memory", GrB_OUT_OF_MEMORY)
}
int nthreads = LAGraph_get_nthreads( ) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (GrB_Index i = 0; i < nv; i++)
{
X[i] = true;
}
LAGr_Matrix_build(D, Vsparse, Vsparse, X, nv, GrB_LOR)
GxB_Format_Value A_format;
LAGRAPH_OK(GxB_get(A, GxB_FORMAT, &A_format))
if (A_format == GxB_BY_ROW) // C = (D*A)*D
{
LAGr_mxm(C, NULL, NULL, GxB_ANY_SECOND_FP64, D, A, NULL)
LAGr_mxm(C, NULL, NULL, GxB_ANY_FIRST_FP64, C, D, NULL)
}
else // A_format == GxB_BY_COL: C = D*(A*D)
{
LAGr_mxm(C, NULL, NULL, GxB_ANY_FIRST_FP64, A, D, NULL)
LAGr_mxm(C, NULL, NULL, GxB_ANY_SECOND_FP64, D, C, NULL)
}
LAGRAPH_FREE(D);
}
(*Chandle) = C ;
return (GrB_SUCCESS) ;
}
|
omp-expand.c | /* Expansion pass for OMP directives. Outlines regions of certain OMP
directives to separate functions, converts others into explicit calls to the
runtime library (libgomp) and so forth
Copyright (C) 2005-2018 Free Software Foundation, Inc.
This file is part of GCC.
GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3, or (at your option) any later
version.
GCC 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 General Public License
for more details.
You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING3. If not see
<http://www.gnu.org/licenses/>. */
#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "memmodel.h"
#include "backend.h"
#include "target.h"
#include "rtl.h"
#include "tree.h"
#include "gimple.h"
#include "cfghooks.h"
#include "tree-pass.h"
#include "ssa.h"
#include "optabs.h"
#include "cgraph.h"
#include "pretty-print.h"
#include "diagnostic-core.h"
#include "fold-const.h"
#include "stor-layout.h"
#include "cfganal.h"
#include "internal-fn.h"
#include "gimplify.h"
#include "gimple-iterator.h"
#include "gimplify-me.h"
#include "gimple-walk.h"
#include "tree-cfg.h"
#include "tree-into-ssa.h"
#include "tree-ssa.h"
#include "splay-tree.h"
#include "cfgloop.h"
#include "omp-general.h"
#include "omp-offload.h"
#include "tree-cfgcleanup.h"
#include "symbol-summary.h"
#include "gomp-constants.h"
#include "gimple-pretty-print.h"
#include "hsa-common.h"
#include "debug.h"
#include "stringpool.h"
#include "attribs.h"
/* OMP region information. Every parallel and workshare
directive is enclosed between two markers, the OMP_* directive
and a corresponding GIMPLE_OMP_RETURN statement. */
struct omp_region
{
/* The enclosing region. */
struct omp_region *outer;
/* First child region. */
struct omp_region *inner;
/* Next peer region. */
struct omp_region *next;
/* Block containing the omp directive as its last stmt. */
basic_block entry;
/* Block containing the GIMPLE_OMP_RETURN as its last stmt. */
basic_block exit;
/* Block containing the GIMPLE_OMP_CONTINUE as its last stmt. */
basic_block cont;
/* If this is a combined parallel+workshare region, this is a list
of additional arguments needed by the combined parallel+workshare
library call. */
vec<tree, va_gc> *ws_args;
/* The code for the omp directive of this region. */
enum gimple_code type;
/* Schedule kind, only used for GIMPLE_OMP_FOR type regions. */
enum omp_clause_schedule_kind sched_kind;
/* Schedule modifiers. */
unsigned char sched_modifiers;
/* True if this is a combined parallel+workshare region. */
bool is_combined_parallel;
/* The ordered stmt if type is GIMPLE_OMP_ORDERED and it has
a depend clause. */
gomp_ordered *ord_stmt;
};
static struct omp_region *root_omp_region;
static bool omp_any_child_fn_dumped;
static void expand_omp_build_assign (gimple_stmt_iterator *, tree, tree,
bool = false);
static gphi *find_phi_with_arg_on_edge (tree, edge);
static void expand_omp (struct omp_region *region);
/* Return true if REGION is a combined parallel+workshare region. */
static inline bool
is_combined_parallel (struct omp_region *region)
{
return region->is_combined_parallel;
}
/* Given two blocks PAR_ENTRY_BB and WS_ENTRY_BB such that WS_ENTRY_BB
is the immediate dominator of PAR_ENTRY_BB, return true if there
are no data dependencies that would prevent expanding the parallel
directive at PAR_ENTRY_BB as a combined parallel+workshare region.
When expanding a combined parallel+workshare region, the call to
the child function may need additional arguments in the case of
GIMPLE_OMP_FOR regions. In some cases, these arguments are
computed out of variables passed in from the parent to the child
via 'struct .omp_data_s'. For instance:
#pragma omp parallel for schedule (guided, i * 4)
for (j ...)
Is lowered into:
# BLOCK 2 (PAR_ENTRY_BB)
.omp_data_o.i = i;
#pragma omp parallel [child fn: bar.omp_fn.0 ( ..., D.1598)
# BLOCK 3 (WS_ENTRY_BB)
.omp_data_i = &.omp_data_o;
D.1667 = .omp_data_i->i;
D.1598 = D.1667 * 4;
#pragma omp for schedule (guided, D.1598)
When we outline the parallel region, the call to the child function
'bar.omp_fn.0' will need the value D.1598 in its argument list, but
that value is computed *after* the call site. So, in principle we
cannot do the transformation.
To see whether the code in WS_ENTRY_BB blocks the combined
parallel+workshare call, we collect all the variables used in the
GIMPLE_OMP_FOR header check whether they appear on the LHS of any
statement in WS_ENTRY_BB. If so, then we cannot emit the combined
call.
FIXME. If we had the SSA form built at this point, we could merely
hoist the code in block 3 into block 2 and be done with it. But at
this point we don't have dataflow information and though we could
hack something up here, it is really not worth the aggravation. */
static bool
workshare_safe_to_combine_p (basic_block ws_entry_bb)
{
struct omp_for_data fd;
gimple *ws_stmt = last_stmt (ws_entry_bb);
if (gimple_code (ws_stmt) == GIMPLE_OMP_SECTIONS)
return true;
gcc_assert (gimple_code (ws_stmt) == GIMPLE_OMP_FOR);
omp_extract_for_data (as_a <gomp_for *> (ws_stmt), &fd, NULL);
if (fd.collapse > 1 && TREE_CODE (fd.loop.n2) != INTEGER_CST)
return false;
if (fd.iter_type != long_integer_type_node)
return false;
/* FIXME. We give up too easily here. If any of these arguments
are not constants, they will likely involve variables that have
been mapped into fields of .omp_data_s for sharing with the child
function. With appropriate data flow, it would be possible to
see through this. */
if (!is_gimple_min_invariant (fd.loop.n1)
|| !is_gimple_min_invariant (fd.loop.n2)
|| !is_gimple_min_invariant (fd.loop.step)
|| (fd.chunk_size && !is_gimple_min_invariant (fd.chunk_size)))
return false;
return true;
}
/* Adjust CHUNK_SIZE from SCHEDULE clause, depending on simd modifier
presence (SIMD_SCHEDULE). */
static tree
omp_adjust_chunk_size (tree chunk_size, bool simd_schedule)
{
if (!simd_schedule)
return chunk_size;
poly_uint64 vf = omp_max_vf ();
if (known_eq (vf, 1U))
return chunk_size;
tree type = TREE_TYPE (chunk_size);
chunk_size = fold_build2 (PLUS_EXPR, type, chunk_size,
build_int_cst (type, vf - 1));
return fold_build2 (BIT_AND_EXPR, type, chunk_size,
build_int_cst (type, -vf));
}
/* Collect additional arguments needed to emit a combined
parallel+workshare call. WS_STMT is the workshare directive being
expanded. */
static vec<tree, va_gc> *
get_ws_args_for (gimple *par_stmt, gimple *ws_stmt)
{
tree t;
location_t loc = gimple_location (ws_stmt);
vec<tree, va_gc> *ws_args;
if (gomp_for *for_stmt = dyn_cast <gomp_for *> (ws_stmt))
{
struct omp_for_data fd;
tree n1, n2;
omp_extract_for_data (for_stmt, &fd, NULL);
n1 = fd.loop.n1;
n2 = fd.loop.n2;
if (gimple_omp_for_combined_into_p (for_stmt))
{
tree innerc
= omp_find_clause (gimple_omp_parallel_clauses (par_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n1 = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n2 = OMP_CLAUSE_DECL (innerc);
}
vec_alloc (ws_args, 3 + (fd.chunk_size != 0));
t = fold_convert_loc (loc, long_integer_type_node, n1);
ws_args->quick_push (t);
t = fold_convert_loc (loc, long_integer_type_node, n2);
ws_args->quick_push (t);
t = fold_convert_loc (loc, long_integer_type_node, fd.loop.step);
ws_args->quick_push (t);
if (fd.chunk_size)
{
t = fold_convert_loc (loc, long_integer_type_node, fd.chunk_size);
t = omp_adjust_chunk_size (t, fd.simd_schedule);
ws_args->quick_push (t);
}
return ws_args;
}
else if (gimple_code (ws_stmt) == GIMPLE_OMP_SECTIONS)
{
/* Number of sections is equal to the number of edges from the
GIMPLE_OMP_SECTIONS_SWITCH statement, except for the one to
the exit of the sections region. */
basic_block bb = single_succ (gimple_bb (ws_stmt));
t = build_int_cst (unsigned_type_node, EDGE_COUNT (bb->succs) - 1);
vec_alloc (ws_args, 1);
ws_args->quick_push (t);
return ws_args;
}
gcc_unreachable ();
}
/* Discover whether REGION is a combined parallel+workshare region. */
static void
determine_parallel_type (struct omp_region *region)
{
basic_block par_entry_bb, par_exit_bb;
basic_block ws_entry_bb, ws_exit_bb;
if (region == NULL || region->inner == NULL
|| region->exit == NULL || region->inner->exit == NULL
|| region->inner->cont == NULL)
return;
/* We only support parallel+for and parallel+sections. */
if (region->type != GIMPLE_OMP_PARALLEL
|| (region->inner->type != GIMPLE_OMP_FOR
&& region->inner->type != GIMPLE_OMP_SECTIONS))
return;
/* Check for perfect nesting PAR_ENTRY_BB -> WS_ENTRY_BB and
WS_EXIT_BB -> PAR_EXIT_BB. */
par_entry_bb = region->entry;
par_exit_bb = region->exit;
ws_entry_bb = region->inner->entry;
ws_exit_bb = region->inner->exit;
if (single_succ (par_entry_bb) == ws_entry_bb
&& single_succ (ws_exit_bb) == par_exit_bb
&& workshare_safe_to_combine_p (ws_entry_bb)
&& (gimple_omp_parallel_combined_p (last_stmt (par_entry_bb))
|| (last_and_only_stmt (ws_entry_bb)
&& last_and_only_stmt (par_exit_bb))))
{
gimple *par_stmt = last_stmt (par_entry_bb);
gimple *ws_stmt = last_stmt (ws_entry_bb);
if (region->inner->type == GIMPLE_OMP_FOR)
{
/* If this is a combined parallel loop, we need to determine
whether or not to use the combined library calls. There
are two cases where we do not apply the transformation:
static loops and any kind of ordered loop. In the first
case, we already open code the loop so there is no need
to do anything else. In the latter case, the combined
parallel loop call would still need extra synchronization
to implement ordered semantics, so there would not be any
gain in using the combined call. */
tree clauses = gimple_omp_for_clauses (ws_stmt);
tree c = omp_find_clause (clauses, OMP_CLAUSE_SCHEDULE);
if (c == NULL
|| ((OMP_CLAUSE_SCHEDULE_KIND (c) & OMP_CLAUSE_SCHEDULE_MASK)
== OMP_CLAUSE_SCHEDULE_STATIC)
|| omp_find_clause (clauses, OMP_CLAUSE_ORDERED))
{
region->is_combined_parallel = false;
region->inner->is_combined_parallel = false;
return;
}
}
region->is_combined_parallel = true;
region->inner->is_combined_parallel = true;
region->ws_args = get_ws_args_for (par_stmt, ws_stmt);
}
}
/* Debugging dumps for parallel regions. */
void dump_omp_region (FILE *, struct omp_region *, int);
void debug_omp_region (struct omp_region *);
void debug_all_omp_regions (void);
/* Dump the parallel region tree rooted at REGION. */
void
dump_omp_region (FILE *file, struct omp_region *region, int indent)
{
fprintf (file, "%*sbb %d: %s\n", indent, "", region->entry->index,
gimple_code_name[region->type]);
if (region->inner)
dump_omp_region (file, region->inner, indent + 4);
if (region->cont)
{
fprintf (file, "%*sbb %d: GIMPLE_OMP_CONTINUE\n", indent, "",
region->cont->index);
}
if (region->exit)
fprintf (file, "%*sbb %d: GIMPLE_OMP_RETURN\n", indent, "",
region->exit->index);
else
fprintf (file, "%*s[no exit marker]\n", indent, "");
if (region->next)
dump_omp_region (file, region->next, indent);
}
DEBUG_FUNCTION void
debug_omp_region (struct omp_region *region)
{
dump_omp_region (stderr, region, 0);
}
DEBUG_FUNCTION void
debug_all_omp_regions (void)
{
dump_omp_region (stderr, root_omp_region, 0);
}
/* Create a new parallel region starting at STMT inside region PARENT. */
static struct omp_region *
new_omp_region (basic_block bb, enum gimple_code type,
struct omp_region *parent)
{
struct omp_region *region = XCNEW (struct omp_region);
region->outer = parent;
region->entry = bb;
region->type = type;
if (parent)
{
/* This is a nested region. Add it to the list of inner
regions in PARENT. */
region->next = parent->inner;
parent->inner = region;
}
else
{
/* This is a toplevel region. Add it to the list of toplevel
regions in ROOT_OMP_REGION. */
region->next = root_omp_region;
root_omp_region = region;
}
return region;
}
/* Release the memory associated with the region tree rooted at REGION. */
static void
free_omp_region_1 (struct omp_region *region)
{
struct omp_region *i, *n;
for (i = region->inner; i ; i = n)
{
n = i->next;
free_omp_region_1 (i);
}
free (region);
}
/* Release the memory for the entire omp region tree. */
void
omp_free_regions (void)
{
struct omp_region *r, *n;
for (r = root_omp_region; r ; r = n)
{
n = r->next;
free_omp_region_1 (r);
}
root_omp_region = NULL;
}
/* A convenience function to build an empty GIMPLE_COND with just the
condition. */
static gcond *
gimple_build_cond_empty (tree cond)
{
enum tree_code pred_code;
tree lhs, rhs;
gimple_cond_get_ops_from_tree (cond, &pred_code, &lhs, &rhs);
return gimple_build_cond (pred_code, lhs, rhs, NULL_TREE, NULL_TREE);
}
/* Return true if a parallel REGION is within a declare target function or
within a target region and is not a part of a gridified target. */
static bool
parallel_needs_hsa_kernel_p (struct omp_region *region)
{
bool indirect = false;
for (region = region->outer; region; region = region->outer)
{
if (region->type == GIMPLE_OMP_PARALLEL)
indirect = true;
else if (region->type == GIMPLE_OMP_TARGET)
{
gomp_target *tgt_stmt
= as_a <gomp_target *> (last_stmt (region->entry));
if (omp_find_clause (gimple_omp_target_clauses (tgt_stmt),
OMP_CLAUSE__GRIDDIM_))
return indirect;
else
return true;
}
}
if (lookup_attribute ("omp declare target",
DECL_ATTRIBUTES (current_function_decl)))
return true;
return false;
}
/* Change DECL_CONTEXT of CHILD_FNDECL to that of the parent function.
Add CHILD_FNDECL to decl chain of the supercontext of the block
ENTRY_BLOCK - this is the block which originally contained the
code from which CHILD_FNDECL was created.
Together, these actions ensure that the debug info for the outlined
function will be emitted with the correct lexical scope. */
static void
adjust_context_and_scope (tree entry_block, tree child_fndecl)
{
if (entry_block != NULL_TREE && TREE_CODE (entry_block) == BLOCK)
{
tree b = BLOCK_SUPERCONTEXT (entry_block);
if (TREE_CODE (b) == BLOCK)
{
tree parent_fndecl;
/* Follow supercontext chain until the parent fndecl
is found. */
for (parent_fndecl = BLOCK_SUPERCONTEXT (b);
TREE_CODE (parent_fndecl) == BLOCK;
parent_fndecl = BLOCK_SUPERCONTEXT (parent_fndecl))
;
gcc_assert (TREE_CODE (parent_fndecl) == FUNCTION_DECL);
DECL_CONTEXT (child_fndecl) = parent_fndecl;
DECL_CHAIN (child_fndecl) = BLOCK_VARS (b);
BLOCK_VARS (b) = child_fndecl;
}
}
}
/* Build the function calls to GOMP_parallel_start etc to actually
generate the parallel operation. REGION is the parallel region
being expanded. BB is the block where to insert the code. WS_ARGS
will be set if this is a call to a combined parallel+workshare
construct, it contains the list of additional arguments needed by
the workshare construct. */
static void
expand_parallel_call (struct omp_region *region, basic_block bb,
gomp_parallel *entry_stmt,
vec<tree, va_gc> *ws_args)
{
tree t, t1, t2, val, cond, c, clauses, flags;
gimple_stmt_iterator gsi;
gimple *stmt;
enum built_in_function start_ix;
int start_ix2;
location_t clause_loc;
vec<tree, va_gc> *args;
clauses = gimple_omp_parallel_clauses (entry_stmt);
/* Determine what flavor of GOMP_parallel we will be
emitting. */
start_ix = BUILT_IN_GOMP_PARALLEL;
if (is_combined_parallel (region))
{
switch (region->inner->type)
{
case GIMPLE_OMP_FOR:
gcc_assert (region->inner->sched_kind != OMP_CLAUSE_SCHEDULE_AUTO);
switch (region->inner->sched_kind)
{
case OMP_CLAUSE_SCHEDULE_RUNTIME:
start_ix2 = 3;
break;
case OMP_CLAUSE_SCHEDULE_DYNAMIC:
case OMP_CLAUSE_SCHEDULE_GUIDED:
if (region->inner->sched_modifiers
& OMP_CLAUSE_SCHEDULE_NONMONOTONIC)
{
start_ix2 = 3 + region->inner->sched_kind;
break;
}
/* FALLTHRU */
default:
start_ix2 = region->inner->sched_kind;
break;
}
start_ix2 += (int) BUILT_IN_GOMP_PARALLEL_LOOP_STATIC;
start_ix = (enum built_in_function) start_ix2;
break;
case GIMPLE_OMP_SECTIONS:
start_ix = BUILT_IN_GOMP_PARALLEL_SECTIONS;
break;
default:
gcc_unreachable ();
}
}
/* By default, the value of NUM_THREADS is zero (selected at run time)
and there is no conditional. */
cond = NULL_TREE;
val = build_int_cst (unsigned_type_node, 0);
flags = build_int_cst (unsigned_type_node, 0);
c = omp_find_clause (clauses, OMP_CLAUSE_IF);
if (c)
cond = OMP_CLAUSE_IF_EXPR (c);
c = omp_find_clause (clauses, OMP_CLAUSE_NUM_THREADS);
if (c)
{
val = OMP_CLAUSE_NUM_THREADS_EXPR (c);
clause_loc = OMP_CLAUSE_LOCATION (c);
}
else
clause_loc = gimple_location (entry_stmt);
c = omp_find_clause (clauses, OMP_CLAUSE_PROC_BIND);
if (c)
flags = build_int_cst (unsigned_type_node, OMP_CLAUSE_PROC_BIND_KIND (c));
/* Ensure 'val' is of the correct type. */
val = fold_convert_loc (clause_loc, unsigned_type_node, val);
/* If we found the clause 'if (cond)', build either
(cond != 0) or (cond ? val : 1u). */
if (cond)
{
cond = gimple_boolify (cond);
if (integer_zerop (val))
val = fold_build2_loc (clause_loc,
EQ_EXPR, unsigned_type_node, cond,
build_int_cst (TREE_TYPE (cond), 0));
else
{
basic_block cond_bb, then_bb, else_bb;
edge e, e_then, e_else;
tree tmp_then, tmp_else, tmp_join, tmp_var;
tmp_var = create_tmp_var (TREE_TYPE (val));
if (gimple_in_ssa_p (cfun))
{
tmp_then = make_ssa_name (tmp_var);
tmp_else = make_ssa_name (tmp_var);
tmp_join = make_ssa_name (tmp_var);
}
else
{
tmp_then = tmp_var;
tmp_else = tmp_var;
tmp_join = tmp_var;
}
e = split_block_after_labels (bb);
cond_bb = e->src;
bb = e->dest;
remove_edge (e);
then_bb = create_empty_bb (cond_bb);
else_bb = create_empty_bb (then_bb);
set_immediate_dominator (CDI_DOMINATORS, then_bb, cond_bb);
set_immediate_dominator (CDI_DOMINATORS, else_bb, cond_bb);
stmt = gimple_build_cond_empty (cond);
gsi = gsi_start_bb (cond_bb);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
gsi = gsi_start_bb (then_bb);
expand_omp_build_assign (&gsi, tmp_then, val, true);
gsi = gsi_start_bb (else_bb);
expand_omp_build_assign (&gsi, tmp_else,
build_int_cst (unsigned_type_node, 1),
true);
make_edge (cond_bb, then_bb, EDGE_TRUE_VALUE);
make_edge (cond_bb, else_bb, EDGE_FALSE_VALUE);
add_bb_to_loop (then_bb, cond_bb->loop_father);
add_bb_to_loop (else_bb, cond_bb->loop_father);
e_then = make_edge (then_bb, bb, EDGE_FALLTHRU);
e_else = make_edge (else_bb, bb, EDGE_FALLTHRU);
if (gimple_in_ssa_p (cfun))
{
gphi *phi = create_phi_node (tmp_join, bb);
add_phi_arg (phi, tmp_then, e_then, UNKNOWN_LOCATION);
add_phi_arg (phi, tmp_else, e_else, UNKNOWN_LOCATION);
}
val = tmp_join;
}
gsi = gsi_start_bb (bb);
val = force_gimple_operand_gsi (&gsi, val, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
}
gsi = gsi_last_nondebug_bb (bb);
t = gimple_omp_parallel_data_arg (entry_stmt);
if (t == NULL)
t1 = null_pointer_node;
else
t1 = build_fold_addr_expr (t);
tree child_fndecl = gimple_omp_parallel_child_fn (entry_stmt);
t2 = build_fold_addr_expr (child_fndecl);
adjust_context_and_scope (gimple_block (entry_stmt), child_fndecl);
vec_alloc (args, 4 + vec_safe_length (ws_args));
args->quick_push (t2);
args->quick_push (t1);
args->quick_push (val);
if (ws_args)
args->splice (*ws_args);
args->quick_push (flags);
t = build_call_expr_loc_vec (UNKNOWN_LOCATION,
builtin_decl_explicit (start_ix), args);
force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (hsa_gen_requested_p ()
&& parallel_needs_hsa_kernel_p (region))
{
cgraph_node *child_cnode = cgraph_node::get (child_fndecl);
hsa_register_kernel (child_cnode);
}
}
/* Build the function call to GOMP_task to actually
generate the task operation. BB is the block where to insert the code. */
static void
expand_task_call (struct omp_region *region, basic_block bb,
gomp_task *entry_stmt)
{
tree t1, t2, t3;
gimple_stmt_iterator gsi;
location_t loc = gimple_location (entry_stmt);
tree clauses = gimple_omp_task_clauses (entry_stmt);
tree ifc = omp_find_clause (clauses, OMP_CLAUSE_IF);
tree untied = omp_find_clause (clauses, OMP_CLAUSE_UNTIED);
tree mergeable = omp_find_clause (clauses, OMP_CLAUSE_MERGEABLE);
tree depend = omp_find_clause (clauses, OMP_CLAUSE_DEPEND);
tree finalc = omp_find_clause (clauses, OMP_CLAUSE_FINAL);
tree priority = omp_find_clause (clauses, OMP_CLAUSE_PRIORITY);
unsigned int iflags
= (untied ? GOMP_TASK_FLAG_UNTIED : 0)
| (mergeable ? GOMP_TASK_FLAG_MERGEABLE : 0)
| (depend ? GOMP_TASK_FLAG_DEPEND : 0);
bool taskloop_p = gimple_omp_task_taskloop_p (entry_stmt);
tree startvar = NULL_TREE, endvar = NULL_TREE, step = NULL_TREE;
tree num_tasks = NULL_TREE;
bool ull = false;
if (taskloop_p)
{
gimple *g = last_stmt (region->outer->entry);
gcc_assert (gimple_code (g) == GIMPLE_OMP_FOR
&& gimple_omp_for_kind (g) == GF_OMP_FOR_KIND_TASKLOOP);
struct omp_for_data fd;
omp_extract_for_data (as_a <gomp_for *> (g), &fd, NULL);
startvar = omp_find_clause (clauses, OMP_CLAUSE__LOOPTEMP_);
endvar = omp_find_clause (OMP_CLAUSE_CHAIN (startvar),
OMP_CLAUSE__LOOPTEMP_);
startvar = OMP_CLAUSE_DECL (startvar);
endvar = OMP_CLAUSE_DECL (endvar);
step = fold_convert_loc (loc, fd.iter_type, fd.loop.step);
if (fd.loop.cond_code == LT_EXPR)
iflags |= GOMP_TASK_FLAG_UP;
tree tclauses = gimple_omp_for_clauses (g);
num_tasks = omp_find_clause (tclauses, OMP_CLAUSE_NUM_TASKS);
if (num_tasks)
num_tasks = OMP_CLAUSE_NUM_TASKS_EXPR (num_tasks);
else
{
num_tasks = omp_find_clause (tclauses, OMP_CLAUSE_GRAINSIZE);
if (num_tasks)
{
iflags |= GOMP_TASK_FLAG_GRAINSIZE;
num_tasks = OMP_CLAUSE_GRAINSIZE_EXPR (num_tasks);
}
else
num_tasks = integer_zero_node;
}
num_tasks = fold_convert_loc (loc, long_integer_type_node, num_tasks);
if (ifc == NULL_TREE)
iflags |= GOMP_TASK_FLAG_IF;
if (omp_find_clause (tclauses, OMP_CLAUSE_NOGROUP))
iflags |= GOMP_TASK_FLAG_NOGROUP;
ull = fd.iter_type == long_long_unsigned_type_node;
}
else if (priority)
iflags |= GOMP_TASK_FLAG_PRIORITY;
tree flags = build_int_cst (unsigned_type_node, iflags);
tree cond = boolean_true_node;
if (ifc)
{
if (taskloop_p)
{
tree t = gimple_boolify (OMP_CLAUSE_IF_EXPR (ifc));
t = fold_build3_loc (loc, COND_EXPR, unsigned_type_node, t,
build_int_cst (unsigned_type_node,
GOMP_TASK_FLAG_IF),
build_int_cst (unsigned_type_node, 0));
flags = fold_build2_loc (loc, PLUS_EXPR, unsigned_type_node,
flags, t);
}
else
cond = gimple_boolify (OMP_CLAUSE_IF_EXPR (ifc));
}
if (finalc)
{
tree t = gimple_boolify (OMP_CLAUSE_FINAL_EXPR (finalc));
t = fold_build3_loc (loc, COND_EXPR, unsigned_type_node, t,
build_int_cst (unsigned_type_node,
GOMP_TASK_FLAG_FINAL),
build_int_cst (unsigned_type_node, 0));
flags = fold_build2_loc (loc, PLUS_EXPR, unsigned_type_node, flags, t);
}
if (depend)
depend = OMP_CLAUSE_DECL (depend);
else
depend = build_int_cst (ptr_type_node, 0);
if (priority)
priority = fold_convert (integer_type_node,
OMP_CLAUSE_PRIORITY_EXPR (priority));
else
priority = integer_zero_node;
gsi = gsi_last_nondebug_bb (bb);
tree t = gimple_omp_task_data_arg (entry_stmt);
if (t == NULL)
t2 = null_pointer_node;
else
t2 = build_fold_addr_expr_loc (loc, t);
t1 = build_fold_addr_expr_loc (loc, gimple_omp_task_child_fn (entry_stmt));
t = gimple_omp_task_copy_fn (entry_stmt);
if (t == NULL)
t3 = null_pointer_node;
else
t3 = build_fold_addr_expr_loc (loc, t);
if (taskloop_p)
t = build_call_expr (ull
? builtin_decl_explicit (BUILT_IN_GOMP_TASKLOOP_ULL)
: builtin_decl_explicit (BUILT_IN_GOMP_TASKLOOP),
11, t1, t2, t3,
gimple_omp_task_arg_size (entry_stmt),
gimple_omp_task_arg_align (entry_stmt), flags,
num_tasks, priority, startvar, endvar, step);
else
t = build_call_expr (builtin_decl_explicit (BUILT_IN_GOMP_TASK),
9, t1, t2, t3,
gimple_omp_task_arg_size (entry_stmt),
gimple_omp_task_arg_align (entry_stmt), cond, flags,
depend, priority);
force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
}
/* Chain all the DECLs in LIST by their TREE_CHAIN fields. */
static tree
vec2chain (vec<tree, va_gc> *v)
{
tree chain = NULL_TREE, t;
unsigned ix;
FOR_EACH_VEC_SAFE_ELT_REVERSE (v, ix, t)
{
DECL_CHAIN (t) = chain;
chain = t;
}
return chain;
}
/* Remove barriers in REGION->EXIT's block. Note that this is only
valid for GIMPLE_OMP_PARALLEL regions. Since the end of a parallel region
is an implicit barrier, any workshare inside the GIMPLE_OMP_PARALLEL that
left a barrier at the end of the GIMPLE_OMP_PARALLEL region can now be
removed. */
static void
remove_exit_barrier (struct omp_region *region)
{
gimple_stmt_iterator gsi;
basic_block exit_bb;
edge_iterator ei;
edge e;
gimple *stmt;
int any_addressable_vars = -1;
exit_bb = region->exit;
/* If the parallel region doesn't return, we don't have REGION->EXIT
block at all. */
if (! exit_bb)
return;
/* The last insn in the block will be the parallel's GIMPLE_OMP_RETURN. The
workshare's GIMPLE_OMP_RETURN will be in a preceding block. The kinds of
statements that can appear in between are extremely limited -- no
memory operations at all. Here, we allow nothing at all, so the
only thing we allow to precede this GIMPLE_OMP_RETURN is a label. */
gsi = gsi_last_nondebug_bb (exit_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
gsi_prev_nondebug (&gsi);
if (!gsi_end_p (gsi) && gimple_code (gsi_stmt (gsi)) != GIMPLE_LABEL)
return;
FOR_EACH_EDGE (e, ei, exit_bb->preds)
{
gsi = gsi_last_nondebug_bb (e->src);
if (gsi_end_p (gsi))
continue;
stmt = gsi_stmt (gsi);
if (gimple_code (stmt) == GIMPLE_OMP_RETURN
&& !gimple_omp_return_nowait_p (stmt))
{
/* OpenMP 3.0 tasks unfortunately prevent this optimization
in many cases. If there could be tasks queued, the barrier
might be needed to let the tasks run before some local
variable of the parallel that the task uses as shared
runs out of scope. The task can be spawned either
from within current function (this would be easy to check)
or from some function it calls and gets passed an address
of such a variable. */
if (any_addressable_vars < 0)
{
gomp_parallel *parallel_stmt
= as_a <gomp_parallel *> (last_stmt (region->entry));
tree child_fun = gimple_omp_parallel_child_fn (parallel_stmt);
tree local_decls, block, decl;
unsigned ix;
any_addressable_vars = 0;
FOR_EACH_LOCAL_DECL (DECL_STRUCT_FUNCTION (child_fun), ix, decl)
if (TREE_ADDRESSABLE (decl))
{
any_addressable_vars = 1;
break;
}
for (block = gimple_block (stmt);
!any_addressable_vars
&& block
&& TREE_CODE (block) == BLOCK;
block = BLOCK_SUPERCONTEXT (block))
{
for (local_decls = BLOCK_VARS (block);
local_decls;
local_decls = DECL_CHAIN (local_decls))
if (TREE_ADDRESSABLE (local_decls))
{
any_addressable_vars = 1;
break;
}
if (block == gimple_block (parallel_stmt))
break;
}
}
if (!any_addressable_vars)
gimple_omp_return_set_nowait (stmt);
}
}
}
static void
remove_exit_barriers (struct omp_region *region)
{
if (region->type == GIMPLE_OMP_PARALLEL)
remove_exit_barrier (region);
if (region->inner)
{
region = region->inner;
remove_exit_barriers (region);
while (region->next)
{
region = region->next;
remove_exit_barriers (region);
}
}
}
/* Optimize omp_get_thread_num () and omp_get_num_threads ()
calls. These can't be declared as const functions, but
within one parallel body they are constant, so they can be
transformed there into __builtin_omp_get_{thread_num,num_threads} ()
which are declared const. Similarly for task body, except
that in untied task omp_get_thread_num () can change at any task
scheduling point. */
static void
optimize_omp_library_calls (gimple *entry_stmt)
{
basic_block bb;
gimple_stmt_iterator gsi;
tree thr_num_tree = builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM);
tree thr_num_id = DECL_ASSEMBLER_NAME (thr_num_tree);
tree num_thr_tree = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS);
tree num_thr_id = DECL_ASSEMBLER_NAME (num_thr_tree);
bool untied_task = (gimple_code (entry_stmt) == GIMPLE_OMP_TASK
&& omp_find_clause (gimple_omp_task_clauses (entry_stmt),
OMP_CLAUSE_UNTIED) != NULL);
FOR_EACH_BB_FN (bb, cfun)
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple *call = gsi_stmt (gsi);
tree decl;
if (is_gimple_call (call)
&& (decl = gimple_call_fndecl (call))
&& DECL_EXTERNAL (decl)
&& TREE_PUBLIC (decl)
&& DECL_INITIAL (decl) == NULL)
{
tree built_in;
if (DECL_NAME (decl) == thr_num_id)
{
/* In #pragma omp task untied omp_get_thread_num () can change
during the execution of the task region. */
if (untied_task)
continue;
built_in = builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM);
}
else if (DECL_NAME (decl) == num_thr_id)
built_in = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS);
else
continue;
if (DECL_ASSEMBLER_NAME (decl) != DECL_ASSEMBLER_NAME (built_in)
|| gimple_call_num_args (call) != 0)
continue;
if (flag_exceptions && !TREE_NOTHROW (decl))
continue;
if (TREE_CODE (TREE_TYPE (decl)) != FUNCTION_TYPE
|| !types_compatible_p (TREE_TYPE (TREE_TYPE (decl)),
TREE_TYPE (TREE_TYPE (built_in))))
continue;
gimple_call_set_fndecl (call, built_in);
}
}
}
/* Callback for expand_omp_build_assign. Return non-NULL if *tp needs to be
regimplified. */
static tree
expand_omp_regimplify_p (tree *tp, int *walk_subtrees, void *)
{
tree t = *tp;
/* Any variable with DECL_VALUE_EXPR needs to be regimplified. */
if (VAR_P (t) && DECL_HAS_VALUE_EXPR_P (t))
return t;
if (TREE_CODE (t) == ADDR_EXPR)
recompute_tree_invariant_for_addr_expr (t);
*walk_subtrees = !TYPE_P (t) && !DECL_P (t);
return NULL_TREE;
}
/* Prepend or append TO = FROM assignment before or after *GSI_P. */
static void
expand_omp_build_assign (gimple_stmt_iterator *gsi_p, tree to, tree from,
bool after)
{
bool simple_p = DECL_P (to) && TREE_ADDRESSABLE (to);
from = force_gimple_operand_gsi (gsi_p, from, simple_p, NULL_TREE,
!after, after ? GSI_CONTINUE_LINKING
: GSI_SAME_STMT);
gimple *stmt = gimple_build_assign (to, from);
if (after)
gsi_insert_after (gsi_p, stmt, GSI_CONTINUE_LINKING);
else
gsi_insert_before (gsi_p, stmt, GSI_SAME_STMT);
if (walk_tree (&from, expand_omp_regimplify_p, NULL, NULL)
|| walk_tree (&to, expand_omp_regimplify_p, NULL, NULL))
{
gimple_stmt_iterator gsi = gsi_for_stmt (stmt);
gimple_regimplify_operands (stmt, &gsi);
}
}
/* Expand the OpenMP parallel or task directive starting at REGION. */
static void
expand_omp_taskreg (struct omp_region *region)
{
basic_block entry_bb, exit_bb, new_bb;
struct function *child_cfun;
tree child_fn, block, t;
gimple_stmt_iterator gsi;
gimple *entry_stmt, *stmt;
edge e;
vec<tree, va_gc> *ws_args;
entry_stmt = last_stmt (region->entry);
child_fn = gimple_omp_taskreg_child_fn (entry_stmt);
child_cfun = DECL_STRUCT_FUNCTION (child_fn);
entry_bb = region->entry;
if (gimple_code (entry_stmt) == GIMPLE_OMP_TASK)
exit_bb = region->cont;
else
exit_bb = region->exit;
if (is_combined_parallel (region))
ws_args = region->ws_args;
else
ws_args = NULL;
if (child_cfun->cfg)
{
/* Due to inlining, it may happen that we have already outlined
the region, in which case all we need to do is make the
sub-graph unreachable and emit the parallel call. */
edge entry_succ_e, exit_succ_e;
entry_succ_e = single_succ_edge (entry_bb);
gsi = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_PARALLEL
|| gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_TASK);
gsi_remove (&gsi, true);
new_bb = entry_bb;
if (exit_bb)
{
exit_succ_e = single_succ_edge (exit_bb);
make_edge (new_bb, exit_succ_e->dest, EDGE_FALLTHRU);
}
remove_edge_and_dominated_blocks (entry_succ_e);
}
else
{
unsigned srcidx, dstidx, num;
/* If the parallel region needs data sent from the parent
function, then the very first statement (except possible
tree profile counter updates) of the parallel body
is a copy assignment .OMP_DATA_I = &.OMP_DATA_O. Since
&.OMP_DATA_O is passed as an argument to the child function,
we need to replace it with the argument as seen by the child
function.
In most cases, this will end up being the identity assignment
.OMP_DATA_I = .OMP_DATA_I. However, if the parallel body had
a function call that has been inlined, the original PARM_DECL
.OMP_DATA_I may have been converted into a different local
variable. In which case, we need to keep the assignment. */
if (gimple_omp_taskreg_data_arg (entry_stmt))
{
basic_block entry_succ_bb
= single_succ_p (entry_bb) ? single_succ (entry_bb)
: FALLTHRU_EDGE (entry_bb)->dest;
tree arg;
gimple *parcopy_stmt = NULL;
for (gsi = gsi_start_bb (entry_succ_bb); ; gsi_next (&gsi))
{
gimple *stmt;
gcc_assert (!gsi_end_p (gsi));
stmt = gsi_stmt (gsi);
if (gimple_code (stmt) != GIMPLE_ASSIGN)
continue;
if (gimple_num_ops (stmt) == 2)
{
tree arg = gimple_assign_rhs1 (stmt);
/* We're ignore the subcode because we're
effectively doing a STRIP_NOPS. */
if (TREE_CODE (arg) == ADDR_EXPR
&& TREE_OPERAND (arg, 0)
== gimple_omp_taskreg_data_arg (entry_stmt))
{
parcopy_stmt = stmt;
break;
}
}
}
gcc_assert (parcopy_stmt != NULL);
arg = DECL_ARGUMENTS (child_fn);
if (!gimple_in_ssa_p (cfun))
{
if (gimple_assign_lhs (parcopy_stmt) == arg)
gsi_remove (&gsi, true);
else
{
/* ?? Is setting the subcode really necessary ?? */
gimple_omp_set_subcode (parcopy_stmt, TREE_CODE (arg));
gimple_assign_set_rhs1 (parcopy_stmt, arg);
}
}
else
{
tree lhs = gimple_assign_lhs (parcopy_stmt);
gcc_assert (SSA_NAME_VAR (lhs) == arg);
/* We'd like to set the rhs to the default def in the child_fn,
but it's too early to create ssa names in the child_fn.
Instead, we set the rhs to the parm. In
move_sese_region_to_fn, we introduce a default def for the
parm, map the parm to it's default def, and once we encounter
this stmt, replace the parm with the default def. */
gimple_assign_set_rhs1 (parcopy_stmt, arg);
update_stmt (parcopy_stmt);
}
}
/* Declare local variables needed in CHILD_CFUN. */
block = DECL_INITIAL (child_fn);
BLOCK_VARS (block) = vec2chain (child_cfun->local_decls);
/* The gimplifier could record temporaries in parallel/task block
rather than in containing function's local_decls chain,
which would mean cgraph missed finalizing them. Do it now. */
for (t = BLOCK_VARS (block); t; t = DECL_CHAIN (t))
if (VAR_P (t) && TREE_STATIC (t) && !DECL_EXTERNAL (t))
varpool_node::finalize_decl (t);
DECL_SAVED_TREE (child_fn) = NULL;
/* We'll create a CFG for child_fn, so no gimple body is needed. */
gimple_set_body (child_fn, NULL);
TREE_USED (block) = 1;
/* Reset DECL_CONTEXT on function arguments. */
for (t = DECL_ARGUMENTS (child_fn); t; t = DECL_CHAIN (t))
DECL_CONTEXT (t) = child_fn;
/* Split ENTRY_BB at GIMPLE_OMP_PARALLEL or GIMPLE_OMP_TASK,
so that it can be moved to the child function. */
gsi = gsi_last_nondebug_bb (entry_bb);
stmt = gsi_stmt (gsi);
gcc_assert (stmt && (gimple_code (stmt) == GIMPLE_OMP_PARALLEL
|| gimple_code (stmt) == GIMPLE_OMP_TASK));
e = split_block (entry_bb, stmt);
gsi_remove (&gsi, true);
entry_bb = e->dest;
edge e2 = NULL;
if (gimple_code (entry_stmt) == GIMPLE_OMP_PARALLEL)
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
else
{
e2 = make_edge (e->src, BRANCH_EDGE (entry_bb)->dest, EDGE_ABNORMAL);
gcc_assert (e2->dest == region->exit);
remove_edge (BRANCH_EDGE (entry_bb));
set_immediate_dominator (CDI_DOMINATORS, e2->dest, e->src);
gsi = gsi_last_nondebug_bb (region->exit);
gcc_assert (!gsi_end_p (gsi)
&& gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
gsi_remove (&gsi, true);
}
/* Convert GIMPLE_OMP_{RETURN,CONTINUE} into a RETURN_EXPR. */
if (exit_bb)
{
gsi = gsi_last_nondebug_bb (exit_bb);
gcc_assert (!gsi_end_p (gsi)
&& (gimple_code (gsi_stmt (gsi))
== (e2 ? GIMPLE_OMP_CONTINUE : GIMPLE_OMP_RETURN)));
stmt = gimple_build_return (NULL);
gsi_insert_after (&gsi, stmt, GSI_SAME_STMT);
gsi_remove (&gsi, true);
}
/* Move the parallel region into CHILD_CFUN. */
if (gimple_in_ssa_p (cfun))
{
init_tree_ssa (child_cfun);
init_ssa_operands (child_cfun);
child_cfun->gimple_df->in_ssa_p = true;
block = NULL_TREE;
}
else
block = gimple_block (entry_stmt);
/* Make sure to generate early debug for the function before
outlining anything. */
if (! gimple_in_ssa_p (cfun))
(*debug_hooks->early_global_decl) (cfun->decl);
new_bb = move_sese_region_to_fn (child_cfun, entry_bb, exit_bb, block);
if (exit_bb)
single_succ_edge (new_bb)->flags = EDGE_FALLTHRU;
if (e2)
{
basic_block dest_bb = e2->dest;
if (!exit_bb)
make_edge (new_bb, dest_bb, EDGE_FALLTHRU);
remove_edge (e2);
set_immediate_dominator (CDI_DOMINATORS, dest_bb, new_bb);
}
/* When the OMP expansion process cannot guarantee an up-to-date
loop tree arrange for the child function to fixup loops. */
if (loops_state_satisfies_p (LOOPS_NEED_FIXUP))
child_cfun->x_current_loops->state |= LOOPS_NEED_FIXUP;
/* Remove non-local VAR_DECLs from child_cfun->local_decls list. */
num = vec_safe_length (child_cfun->local_decls);
for (srcidx = 0, dstidx = 0; srcidx < num; srcidx++)
{
t = (*child_cfun->local_decls)[srcidx];
if (DECL_CONTEXT (t) == cfun->decl)
continue;
if (srcidx != dstidx)
(*child_cfun->local_decls)[dstidx] = t;
dstidx++;
}
if (dstidx != num)
vec_safe_truncate (child_cfun->local_decls, dstidx);
/* Inform the callgraph about the new function. */
child_cfun->curr_properties = cfun->curr_properties;
child_cfun->has_simduid_loops |= cfun->has_simduid_loops;
child_cfun->has_force_vectorize_loops |= cfun->has_force_vectorize_loops;
cgraph_node *node = cgraph_node::get_create (child_fn);
node->parallelized_function = 1;
cgraph_node::add_new_function (child_fn, true);
bool need_asm = DECL_ASSEMBLER_NAME_SET_P (current_function_decl)
&& !DECL_ASSEMBLER_NAME_SET_P (child_fn);
/* Fix the callgraph edges for child_cfun. Those for cfun will be
fixed in a following pass. */
push_cfun (child_cfun);
if (need_asm)
assign_assembler_name_if_needed (child_fn);
if (optimize)
optimize_omp_library_calls (entry_stmt);
update_max_bb_count ();
cgraph_edge::rebuild_edges ();
/* Some EH regions might become dead, see PR34608. If
pass_cleanup_cfg isn't the first pass to happen with the
new child, these dead EH edges might cause problems.
Clean them up now. */
if (flag_exceptions)
{
basic_block bb;
bool changed = false;
FOR_EACH_BB_FN (bb, cfun)
changed |= gimple_purge_dead_eh_edges (bb);
if (changed)
cleanup_tree_cfg ();
}
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa);
if (flag_checking && !loops_state_satisfies_p (LOOPS_NEED_FIXUP))
verify_loop_structure ();
pop_cfun ();
if (dump_file && !gimple_in_ssa_p (cfun))
{
omp_any_child_fn_dumped = true;
dump_function_header (dump_file, child_fn, dump_flags);
dump_function_to_file (child_fn, dump_file, dump_flags);
}
}
if (gimple_code (entry_stmt) == GIMPLE_OMP_PARALLEL)
expand_parallel_call (region, new_bb,
as_a <gomp_parallel *> (entry_stmt), ws_args);
else
expand_task_call (region, new_bb, as_a <gomp_task *> (entry_stmt));
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_only_virtuals);
}
/* Information about members of an OpenACC collapsed loop nest. */
struct oacc_collapse
{
tree base; /* Base value. */
tree iters; /* Number of steps. */
tree step; /* Step size. */
tree tile; /* Tile increment (if tiled). */
tree outer; /* Tile iterator var. */
};
/* Helper for expand_oacc_for. Determine collapsed loop information.
Fill in COUNTS array. Emit any initialization code before GSI.
Return the calculated outer loop bound of BOUND_TYPE. */
static tree
expand_oacc_collapse_init (const struct omp_for_data *fd,
gimple_stmt_iterator *gsi,
oacc_collapse *counts, tree bound_type,
location_t loc)
{
tree tiling = fd->tiling;
tree total = build_int_cst (bound_type, 1);
int ix;
gcc_assert (integer_onep (fd->loop.step));
gcc_assert (integer_zerop (fd->loop.n1));
/* When tiling, the first operand of the tile clause applies to the
innermost loop, and we work outwards from there. Seems
backwards, but whatever. */
for (ix = fd->collapse; ix--;)
{
const omp_for_data_loop *loop = &fd->loops[ix];
tree iter_type = TREE_TYPE (loop->v);
tree diff_type = iter_type;
tree plus_type = iter_type;
gcc_assert (loop->cond_code == fd->loop.cond_code);
if (POINTER_TYPE_P (iter_type))
plus_type = sizetype;
if (POINTER_TYPE_P (diff_type) || TYPE_UNSIGNED (diff_type))
diff_type = signed_type_for (diff_type);
if (TYPE_PRECISION (diff_type) < TYPE_PRECISION (integer_type_node))
diff_type = integer_type_node;
if (tiling)
{
tree num = build_int_cst (integer_type_node, fd->collapse);
tree loop_no = build_int_cst (integer_type_node, ix);
tree tile = TREE_VALUE (tiling);
gcall *call
= gimple_build_call_internal (IFN_GOACC_TILE, 5, num, loop_no, tile,
/* gwv-outer=*/integer_zero_node,
/* gwv-inner=*/integer_zero_node);
counts[ix].outer = create_tmp_var (iter_type, ".outer");
counts[ix].tile = create_tmp_var (diff_type, ".tile");
gimple_call_set_lhs (call, counts[ix].tile);
gimple_set_location (call, loc);
gsi_insert_before (gsi, call, GSI_SAME_STMT);
tiling = TREE_CHAIN (tiling);
}
else
{
counts[ix].tile = NULL;
counts[ix].outer = loop->v;
}
tree b = loop->n1;
tree e = loop->n2;
tree s = loop->step;
bool up = loop->cond_code == LT_EXPR;
tree dir = build_int_cst (diff_type, up ? +1 : -1);
bool negating;
tree expr;
b = force_gimple_operand_gsi (gsi, b, true, NULL_TREE,
true, GSI_SAME_STMT);
e = force_gimple_operand_gsi (gsi, e, true, NULL_TREE,
true, GSI_SAME_STMT);
/* Convert the step, avoiding possible unsigned->signed overflow. */
negating = !up && TYPE_UNSIGNED (TREE_TYPE (s));
if (negating)
s = fold_build1 (NEGATE_EXPR, TREE_TYPE (s), s);
s = fold_convert (diff_type, s);
if (negating)
s = fold_build1 (NEGATE_EXPR, diff_type, s);
s = force_gimple_operand_gsi (gsi, s, true, NULL_TREE,
true, GSI_SAME_STMT);
/* Determine the range, avoiding possible unsigned->signed overflow. */
negating = !up && TYPE_UNSIGNED (iter_type);
expr = fold_build2 (MINUS_EXPR, plus_type,
fold_convert (plus_type, negating ? b : e),
fold_convert (plus_type, negating ? e : b));
expr = fold_convert (diff_type, expr);
if (negating)
expr = fold_build1 (NEGATE_EXPR, diff_type, expr);
tree range = force_gimple_operand_gsi
(gsi, expr, true, NULL_TREE, true, GSI_SAME_STMT);
/* Determine number of iterations. */
expr = fold_build2 (MINUS_EXPR, diff_type, range, dir);
expr = fold_build2 (PLUS_EXPR, diff_type, expr, s);
expr = fold_build2 (TRUNC_DIV_EXPR, diff_type, expr, s);
tree iters = force_gimple_operand_gsi (gsi, expr, true, NULL_TREE,
true, GSI_SAME_STMT);
counts[ix].base = b;
counts[ix].iters = iters;
counts[ix].step = s;
total = fold_build2 (MULT_EXPR, bound_type, total,
fold_convert (bound_type, iters));
}
return total;
}
/* Emit initializers for collapsed loop members. INNER is true if
this is for the element loop of a TILE. IVAR is the outer
loop iteration variable, from which collapsed loop iteration values
are calculated. COUNTS array has been initialized by
expand_oacc_collapse_inits. */
static void
expand_oacc_collapse_vars (const struct omp_for_data *fd, bool inner,
gimple_stmt_iterator *gsi,
const oacc_collapse *counts, tree ivar)
{
tree ivar_type = TREE_TYPE (ivar);
/* The most rapidly changing iteration variable is the innermost
one. */
for (int ix = fd->collapse; ix--;)
{
const omp_for_data_loop *loop = &fd->loops[ix];
const oacc_collapse *collapse = &counts[ix];
tree v = inner ? loop->v : collapse->outer;
tree iter_type = TREE_TYPE (v);
tree diff_type = TREE_TYPE (collapse->step);
tree plus_type = iter_type;
enum tree_code plus_code = PLUS_EXPR;
tree expr;
if (POINTER_TYPE_P (iter_type))
{
plus_code = POINTER_PLUS_EXPR;
plus_type = sizetype;
}
expr = ivar;
if (ix)
{
tree mod = fold_convert (ivar_type, collapse->iters);
ivar = fold_build2 (TRUNC_DIV_EXPR, ivar_type, expr, mod);
expr = fold_build2 (TRUNC_MOD_EXPR, ivar_type, expr, mod);
ivar = force_gimple_operand_gsi (gsi, ivar, true, NULL_TREE,
true, GSI_SAME_STMT);
}
expr = fold_build2 (MULT_EXPR, diff_type, fold_convert (diff_type, expr),
collapse->step);
expr = fold_build2 (plus_code, iter_type,
inner ? collapse->outer : collapse->base,
fold_convert (plus_type, expr));
expr = force_gimple_operand_gsi (gsi, expr, false, NULL_TREE,
true, GSI_SAME_STMT);
gassign *ass = gimple_build_assign (v, expr);
gsi_insert_before (gsi, ass, GSI_SAME_STMT);
}
}
/* Helper function for expand_omp_{for_*,simd}. If this is the outermost
of the combined collapse > 1 loop constructs, generate code like:
if (__builtin_expect (N32 cond3 N31, 0)) goto ZERO_ITER_BB;
if (cond3 is <)
adj = STEP3 - 1;
else
adj = STEP3 + 1;
count3 = (adj + N32 - N31) / STEP3;
if (__builtin_expect (N22 cond2 N21, 0)) goto ZERO_ITER_BB;
if (cond2 is <)
adj = STEP2 - 1;
else
adj = STEP2 + 1;
count2 = (adj + N22 - N21) / STEP2;
if (__builtin_expect (N12 cond1 N11, 0)) goto ZERO_ITER_BB;
if (cond1 is <)
adj = STEP1 - 1;
else
adj = STEP1 + 1;
count1 = (adj + N12 - N11) / STEP1;
count = count1 * count2 * count3;
Furthermore, if ZERO_ITER_BB is NULL, create a BB which does:
count = 0;
and set ZERO_ITER_BB to that bb. If this isn't the outermost
of the combined loop constructs, just initialize COUNTS array
from the _looptemp_ clauses. */
/* NOTE: It *could* be better to moosh all of the BBs together,
creating one larger BB with all the computation and the unexpected
jump at the end. I.e.
bool zero3, zero2, zero1, zero;
zero3 = N32 c3 N31;
count3 = (N32 - N31) /[cl] STEP3;
zero2 = N22 c2 N21;
count2 = (N22 - N21) /[cl] STEP2;
zero1 = N12 c1 N11;
count1 = (N12 - N11) /[cl] STEP1;
zero = zero3 || zero2 || zero1;
count = count1 * count2 * count3;
if (__builtin_expect(zero, false)) goto zero_iter_bb;
After all, we expect the zero=false, and thus we expect to have to
evaluate all of the comparison expressions, so short-circuiting
oughtn't be a win. Since the condition isn't protecting a
denominator, we're not concerned about divide-by-zero, so we can
fully evaluate count even if a numerator turned out to be wrong.
It seems like putting this all together would create much better
scheduling opportunities, and less pressure on the chip's branch
predictor. */
static void
expand_omp_for_init_counts (struct omp_for_data *fd, gimple_stmt_iterator *gsi,
basic_block &entry_bb, tree *counts,
basic_block &zero_iter1_bb, int &first_zero_iter1,
basic_block &zero_iter2_bb, int &first_zero_iter2,
basic_block &l2_dom_bb)
{
tree t, type = TREE_TYPE (fd->loop.v);
edge e, ne;
int i;
/* Collapsed loops need work for expansion into SSA form. */
gcc_assert (!gimple_in_ssa_p (cfun));
if (gimple_omp_for_combined_into_p (fd->for_stmt)
&& TREE_CODE (fd->loop.n2) != INTEGER_CST)
{
gcc_assert (fd->ordered == 0);
/* First two _looptemp_ clauses are for istart/iend, counts[0]
isn't supposed to be handled, as the inner loop doesn't
use it. */
tree innerc = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
for (i = 0; i < fd->collapse; i++)
{
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
if (i)
counts[i] = OMP_CLAUSE_DECL (innerc);
else
counts[0] = NULL_TREE;
}
return;
}
for (i = fd->collapse; i < fd->ordered; i++)
{
tree itype = TREE_TYPE (fd->loops[i].v);
counts[i] = NULL_TREE;
t = fold_binary (fd->loops[i].cond_code, boolean_type_node,
fold_convert (itype, fd->loops[i].n1),
fold_convert (itype, fd->loops[i].n2));
if (t && integer_zerop (t))
{
for (i = fd->collapse; i < fd->ordered; i++)
counts[i] = build_int_cst (type, 0);
break;
}
}
for (i = 0; i < (fd->ordered ? fd->ordered : fd->collapse); i++)
{
tree itype = TREE_TYPE (fd->loops[i].v);
if (i >= fd->collapse && counts[i])
continue;
if ((SSA_VAR_P (fd->loop.n2) || i >= fd->collapse)
&& ((t = fold_binary (fd->loops[i].cond_code, boolean_type_node,
fold_convert (itype, fd->loops[i].n1),
fold_convert (itype, fd->loops[i].n2)))
== NULL_TREE || !integer_onep (t)))
{
gcond *cond_stmt;
tree n1, n2;
n1 = fold_convert (itype, unshare_expr (fd->loops[i].n1));
n1 = force_gimple_operand_gsi (gsi, n1, true, NULL_TREE,
true, GSI_SAME_STMT);
n2 = fold_convert (itype, unshare_expr (fd->loops[i].n2));
n2 = force_gimple_operand_gsi (gsi, n2, true, NULL_TREE,
true, GSI_SAME_STMT);
cond_stmt = gimple_build_cond (fd->loops[i].cond_code, n1, n2,
NULL_TREE, NULL_TREE);
gsi_insert_before (gsi, cond_stmt, GSI_SAME_STMT);
if (walk_tree (gimple_cond_lhs_ptr (cond_stmt),
expand_omp_regimplify_p, NULL, NULL)
|| walk_tree (gimple_cond_rhs_ptr (cond_stmt),
expand_omp_regimplify_p, NULL, NULL))
{
*gsi = gsi_for_stmt (cond_stmt);
gimple_regimplify_operands (cond_stmt, gsi);
}
e = split_block (entry_bb, cond_stmt);
basic_block &zero_iter_bb
= i < fd->collapse ? zero_iter1_bb : zero_iter2_bb;
int &first_zero_iter
= i < fd->collapse ? first_zero_iter1 : first_zero_iter2;
if (zero_iter_bb == NULL)
{
gassign *assign_stmt;
first_zero_iter = i;
zero_iter_bb = create_empty_bb (entry_bb);
add_bb_to_loop (zero_iter_bb, entry_bb->loop_father);
*gsi = gsi_after_labels (zero_iter_bb);
if (i < fd->collapse)
assign_stmt = gimple_build_assign (fd->loop.n2,
build_zero_cst (type));
else
{
counts[i] = create_tmp_reg (type, ".count");
assign_stmt
= gimple_build_assign (counts[i], build_zero_cst (type));
}
gsi_insert_before (gsi, assign_stmt, GSI_SAME_STMT);
set_immediate_dominator (CDI_DOMINATORS, zero_iter_bb,
entry_bb);
}
ne = make_edge (entry_bb, zero_iter_bb, EDGE_FALSE_VALUE);
ne->probability = profile_probability::very_unlikely ();
e->flags = EDGE_TRUE_VALUE;
e->probability = ne->probability.invert ();
if (l2_dom_bb == NULL)
l2_dom_bb = entry_bb;
entry_bb = e->dest;
*gsi = gsi_last_nondebug_bb (entry_bb);
}
if (POINTER_TYPE_P (itype))
itype = signed_type_for (itype);
t = build_int_cst (itype, (fd->loops[i].cond_code == LT_EXPR
? -1 : 1));
t = fold_build2 (PLUS_EXPR, itype,
fold_convert (itype, fd->loops[i].step), t);
t = fold_build2 (PLUS_EXPR, itype, t,
fold_convert (itype, fd->loops[i].n2));
t = fold_build2 (MINUS_EXPR, itype, t,
fold_convert (itype, fd->loops[i].n1));
/* ?? We could probably use CEIL_DIV_EXPR instead of
TRUNC_DIV_EXPR and adjusting by hand. Unless we can't
generate the same code in the end because generically we
don't know that the values involved must be negative for
GT?? */
if (TYPE_UNSIGNED (itype) && fd->loops[i].cond_code == GT_EXPR)
t = fold_build2 (TRUNC_DIV_EXPR, itype,
fold_build1 (NEGATE_EXPR, itype, t),
fold_build1 (NEGATE_EXPR, itype,
fold_convert (itype,
fd->loops[i].step)));
else
t = fold_build2 (TRUNC_DIV_EXPR, itype, t,
fold_convert (itype, fd->loops[i].step));
t = fold_convert (type, t);
if (TREE_CODE (t) == INTEGER_CST)
counts[i] = t;
else
{
if (i < fd->collapse || i != first_zero_iter2)
counts[i] = create_tmp_reg (type, ".count");
expand_omp_build_assign (gsi, counts[i], t);
}
if (SSA_VAR_P (fd->loop.n2) && i < fd->collapse)
{
if (i == 0)
t = counts[0];
else
t = fold_build2 (MULT_EXPR, type, fd->loop.n2, counts[i]);
expand_omp_build_assign (gsi, fd->loop.n2, t);
}
}
}
/* Helper function for expand_omp_{for_*,simd}. Generate code like:
T = V;
V3 = N31 + (T % count3) * STEP3;
T = T / count3;
V2 = N21 + (T % count2) * STEP2;
T = T / count2;
V1 = N11 + T * STEP1;
if this loop doesn't have an inner loop construct combined with it.
If it does have an inner loop construct combined with it and the
iteration count isn't known constant, store values from counts array
into its _looptemp_ temporaries instead. */
static void
expand_omp_for_init_vars (struct omp_for_data *fd, gimple_stmt_iterator *gsi,
tree *counts, gimple *inner_stmt, tree startvar)
{
int i;
if (gimple_omp_for_combined_p (fd->for_stmt))
{
/* If fd->loop.n2 is constant, then no propagation of the counts
is needed, they are constant. */
if (TREE_CODE (fd->loop.n2) == INTEGER_CST)
return;
tree clauses = gimple_code (inner_stmt) != GIMPLE_OMP_FOR
? gimple_omp_taskreg_clauses (inner_stmt)
: gimple_omp_for_clauses (inner_stmt);
/* First two _looptemp_ clauses are for istart/iend, counts[0]
isn't supposed to be handled, as the inner loop doesn't
use it. */
tree innerc = omp_find_clause (clauses, OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
for (i = 0; i < fd->collapse; i++)
{
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
if (i)
{
tree tem = OMP_CLAUSE_DECL (innerc);
tree t = fold_convert (TREE_TYPE (tem), counts[i]);
t = force_gimple_operand_gsi (gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
gassign *stmt = gimple_build_assign (tem, t);
gsi_insert_after (gsi, stmt, GSI_CONTINUE_LINKING);
}
}
return;
}
tree type = TREE_TYPE (fd->loop.v);
tree tem = create_tmp_reg (type, ".tem");
gassign *stmt = gimple_build_assign (tem, startvar);
gsi_insert_after (gsi, stmt, GSI_CONTINUE_LINKING);
for (i = fd->collapse - 1; i >= 0; i--)
{
tree vtype = TREE_TYPE (fd->loops[i].v), itype, t;
itype = vtype;
if (POINTER_TYPE_P (vtype))
itype = signed_type_for (vtype);
if (i != 0)
t = fold_build2 (TRUNC_MOD_EXPR, type, tem, counts[i]);
else
t = tem;
t = fold_convert (itype, t);
t = fold_build2 (MULT_EXPR, itype, t,
fold_convert (itype, fd->loops[i].step));
if (POINTER_TYPE_P (vtype))
t = fold_build_pointer_plus (fd->loops[i].n1, t);
else
t = fold_build2 (PLUS_EXPR, itype, fd->loops[i].n1, t);
t = force_gimple_operand_gsi (gsi, t,
DECL_P (fd->loops[i].v)
&& TREE_ADDRESSABLE (fd->loops[i].v),
NULL_TREE, false,
GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loops[i].v, t);
gsi_insert_after (gsi, stmt, GSI_CONTINUE_LINKING);
if (i != 0)
{
t = fold_build2 (TRUNC_DIV_EXPR, type, tem, counts[i]);
t = force_gimple_operand_gsi (gsi, t, false, NULL_TREE,
false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (tem, t);
gsi_insert_after (gsi, stmt, GSI_CONTINUE_LINKING);
}
}
}
/* Helper function for expand_omp_for_*. Generate code like:
L10:
V3 += STEP3;
if (V3 cond3 N32) goto BODY_BB; else goto L11;
L11:
V3 = N31;
V2 += STEP2;
if (V2 cond2 N22) goto BODY_BB; else goto L12;
L12:
V2 = N21;
V1 += STEP1;
goto BODY_BB; */
static basic_block
extract_omp_for_update_vars (struct omp_for_data *fd, basic_block cont_bb,
basic_block body_bb)
{
basic_block last_bb, bb, collapse_bb = NULL;
int i;
gimple_stmt_iterator gsi;
edge e;
tree t;
gimple *stmt;
last_bb = cont_bb;
for (i = fd->collapse - 1; i >= 0; i--)
{
tree vtype = TREE_TYPE (fd->loops[i].v);
bb = create_empty_bb (last_bb);
add_bb_to_loop (bb, last_bb->loop_father);
gsi = gsi_start_bb (bb);
if (i < fd->collapse - 1)
{
e = make_edge (last_bb, bb, EDGE_FALSE_VALUE);
e->probability = profile_probability::guessed_always ().apply_scale (1, 8);
t = fd->loops[i + 1].n1;
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (fd->loops[i + 1].v)
&& TREE_ADDRESSABLE (fd->loops[i
+ 1].v),
NULL_TREE, false,
GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loops[i + 1].v, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
}
else
collapse_bb = bb;
set_immediate_dominator (CDI_DOMINATORS, bb, last_bb);
if (POINTER_TYPE_P (vtype))
t = fold_build_pointer_plus (fd->loops[i].v, fd->loops[i].step);
else
t = fold_build2 (PLUS_EXPR, vtype, fd->loops[i].v, fd->loops[i].step);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (fd->loops[i].v)
&& TREE_ADDRESSABLE (fd->loops[i].v),
NULL_TREE, false, GSI_CONTINUE_LINKING);
stmt = gimple_build_assign (fd->loops[i].v, t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
if (i > 0)
{
t = fd->loops[i].n2;
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
tree v = fd->loops[i].v;
if (DECL_P (v) && TREE_ADDRESSABLE (v))
v = force_gimple_operand_gsi (&gsi, v, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = fold_build2 (fd->loops[i].cond_code, boolean_type_node, v, t);
stmt = gimple_build_cond_empty (t);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
e = make_edge (bb, body_bb, EDGE_TRUE_VALUE);
e->probability = profile_probability::guessed_always ().apply_scale (7, 8);
}
else
make_edge (bb, body_bb, EDGE_FALLTHRU);
last_bb = bb;
}
return collapse_bb;
}
/* Expand #pragma omp ordered depend(source). */
static void
expand_omp_ordered_source (gimple_stmt_iterator *gsi, struct omp_for_data *fd,
tree *counts, location_t loc)
{
enum built_in_function source_ix
= fd->iter_type == long_integer_type_node
? BUILT_IN_GOMP_DOACROSS_POST : BUILT_IN_GOMP_DOACROSS_ULL_POST;
gimple *g
= gimple_build_call (builtin_decl_explicit (source_ix), 1,
build_fold_addr_expr (counts[fd->ordered]));
gimple_set_location (g, loc);
gsi_insert_before (gsi, g, GSI_SAME_STMT);
}
/* Expand a single depend from #pragma omp ordered depend(sink:...). */
static void
expand_omp_ordered_sink (gimple_stmt_iterator *gsi, struct omp_for_data *fd,
tree *counts, tree c, location_t loc)
{
auto_vec<tree, 10> args;
enum built_in_function sink_ix
= fd->iter_type == long_integer_type_node
? BUILT_IN_GOMP_DOACROSS_WAIT : BUILT_IN_GOMP_DOACROSS_ULL_WAIT;
tree t, off, coff = NULL_TREE, deps = OMP_CLAUSE_DECL (c), cond = NULL_TREE;
int i;
gimple_stmt_iterator gsi2 = *gsi;
bool warned_step = false;
for (i = 0; i < fd->ordered; i++)
{
tree step = NULL_TREE;
off = TREE_PURPOSE (deps);
if (TREE_CODE (off) == TRUNC_DIV_EXPR)
{
step = TREE_OPERAND (off, 1);
off = TREE_OPERAND (off, 0);
}
if (!integer_zerop (off))
{
gcc_assert (fd->loops[i].cond_code == LT_EXPR
|| fd->loops[i].cond_code == GT_EXPR);
bool forward = fd->loops[i].cond_code == LT_EXPR;
if (step)
{
/* Non-simple Fortran DO loops. If step is variable,
we don't know at compile even the direction, so can't
warn. */
if (TREE_CODE (step) != INTEGER_CST)
break;
forward = tree_int_cst_sgn (step) != -1;
}
if (forward ^ OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
warning_at (loc, 0, "%<depend(sink)%> clause waiting for "
"lexically later iteration");
break;
}
deps = TREE_CHAIN (deps);
}
/* If all offsets corresponding to the collapsed loops are zero,
this depend clause can be ignored. FIXME: but there is still a
flush needed. We need to emit one __sync_synchronize () for it
though (perhaps conditionally)? Solve this together with the
conservative dependence folding optimization.
if (i >= fd->collapse)
return; */
deps = OMP_CLAUSE_DECL (c);
gsi_prev (&gsi2);
edge e1 = split_block (gsi_bb (gsi2), gsi_stmt (gsi2));
edge e2 = split_block_after_labels (e1->dest);
gsi2 = gsi_after_labels (e1->dest);
*gsi = gsi_last_bb (e1->src);
for (i = 0; i < fd->ordered; i++)
{
tree itype = TREE_TYPE (fd->loops[i].v);
tree step = NULL_TREE;
tree orig_off = NULL_TREE;
if (POINTER_TYPE_P (itype))
itype = sizetype;
if (i)
deps = TREE_CHAIN (deps);
off = TREE_PURPOSE (deps);
if (TREE_CODE (off) == TRUNC_DIV_EXPR)
{
step = TREE_OPERAND (off, 1);
off = TREE_OPERAND (off, 0);
gcc_assert (fd->loops[i].cond_code == LT_EXPR
&& integer_onep (fd->loops[i].step)
&& !POINTER_TYPE_P (TREE_TYPE (fd->loops[i].v)));
}
tree s = fold_convert_loc (loc, itype, step ? step : fd->loops[i].step);
if (step)
{
off = fold_convert_loc (loc, itype, off);
orig_off = off;
off = fold_build2_loc (loc, TRUNC_DIV_EXPR, itype, off, s);
}
if (integer_zerop (off))
t = boolean_true_node;
else
{
tree a;
tree co = fold_convert_loc (loc, itype, off);
if (POINTER_TYPE_P (TREE_TYPE (fd->loops[i].v)))
{
if (OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
co = fold_build1_loc (loc, NEGATE_EXPR, itype, co);
a = fold_build2_loc (loc, POINTER_PLUS_EXPR,
TREE_TYPE (fd->loops[i].v), fd->loops[i].v,
co);
}
else if (OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
a = fold_build2_loc (loc, MINUS_EXPR, TREE_TYPE (fd->loops[i].v),
fd->loops[i].v, co);
else
a = fold_build2_loc (loc, PLUS_EXPR, TREE_TYPE (fd->loops[i].v),
fd->loops[i].v, co);
if (step)
{
tree t1, t2;
if (OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
t1 = fold_build2_loc (loc, GE_EXPR, boolean_type_node, a,
fd->loops[i].n1);
else
t1 = fold_build2_loc (loc, LT_EXPR, boolean_type_node, a,
fd->loops[i].n2);
if (OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
t2 = fold_build2_loc (loc, LT_EXPR, boolean_type_node, a,
fd->loops[i].n2);
else
t2 = fold_build2_loc (loc, GE_EXPR, boolean_type_node, a,
fd->loops[i].n1);
t = fold_build2_loc (loc, LT_EXPR, boolean_type_node,
step, build_int_cst (TREE_TYPE (step), 0));
if (TREE_CODE (step) != INTEGER_CST)
{
t1 = unshare_expr (t1);
t1 = force_gimple_operand_gsi (gsi, t1, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t2 = unshare_expr (t2);
t2 = force_gimple_operand_gsi (gsi, t2, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
}
t = fold_build3_loc (loc, COND_EXPR, boolean_type_node,
t, t2, t1);
}
else if (fd->loops[i].cond_code == LT_EXPR)
{
if (OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
t = fold_build2_loc (loc, GE_EXPR, boolean_type_node, a,
fd->loops[i].n1);
else
t = fold_build2_loc (loc, LT_EXPR, boolean_type_node, a,
fd->loops[i].n2);
}
else if (OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
t = fold_build2_loc (loc, GT_EXPR, boolean_type_node, a,
fd->loops[i].n2);
else
t = fold_build2_loc (loc, LE_EXPR, boolean_type_node, a,
fd->loops[i].n1);
}
if (cond)
cond = fold_build2_loc (loc, BIT_AND_EXPR, boolean_type_node, cond, t);
else
cond = t;
off = fold_convert_loc (loc, itype, off);
if (step
|| (fd->loops[i].cond_code == LT_EXPR
? !integer_onep (fd->loops[i].step)
: !integer_minus_onep (fd->loops[i].step)))
{
if (step == NULL_TREE
&& TYPE_UNSIGNED (itype)
&& fd->loops[i].cond_code == GT_EXPR)
t = fold_build2_loc (loc, TRUNC_MOD_EXPR, itype, off,
fold_build1_loc (loc, NEGATE_EXPR, itype,
s));
else
t = fold_build2_loc (loc, TRUNC_MOD_EXPR, itype,
orig_off ? orig_off : off, s);
t = fold_build2_loc (loc, EQ_EXPR, boolean_type_node, t,
build_int_cst (itype, 0));
if (integer_zerop (t) && !warned_step)
{
warning_at (loc, 0, "%<depend(sink)%> refers to iteration never "
"in the iteration space");
warned_step = true;
}
cond = fold_build2_loc (loc, BIT_AND_EXPR, boolean_type_node,
cond, t);
}
if (i <= fd->collapse - 1 && fd->collapse > 1)
t = fd->loop.v;
else if (counts[i])
t = counts[i];
else
{
t = fold_build2_loc (loc, MINUS_EXPR, TREE_TYPE (fd->loops[i].v),
fd->loops[i].v, fd->loops[i].n1);
t = fold_convert_loc (loc, fd->iter_type, t);
}
if (step)
/* We have divided off by step already earlier. */;
else if (TYPE_UNSIGNED (itype) && fd->loops[i].cond_code == GT_EXPR)
off = fold_build2_loc (loc, TRUNC_DIV_EXPR, itype, off,
fold_build1_loc (loc, NEGATE_EXPR, itype,
s));
else
off = fold_build2_loc (loc, TRUNC_DIV_EXPR, itype, off, s);
if (OMP_CLAUSE_DEPEND_SINK_NEGATIVE (deps))
off = fold_build1_loc (loc, NEGATE_EXPR, itype, off);
off = fold_convert_loc (loc, fd->iter_type, off);
if (i <= fd->collapse - 1 && fd->collapse > 1)
{
if (i)
off = fold_build2_loc (loc, PLUS_EXPR, fd->iter_type, coff,
off);
if (i < fd->collapse - 1)
{
coff = fold_build2_loc (loc, MULT_EXPR, fd->iter_type, off,
counts[i]);
continue;
}
}
off = unshare_expr (off);
t = fold_build2_loc (loc, PLUS_EXPR, fd->iter_type, t, off);
t = force_gimple_operand_gsi (&gsi2, t, true, NULL_TREE,
true, GSI_SAME_STMT);
args.safe_push (t);
}
gimple *g = gimple_build_call_vec (builtin_decl_explicit (sink_ix), args);
gimple_set_location (g, loc);
gsi_insert_before (&gsi2, g, GSI_SAME_STMT);
cond = unshare_expr (cond);
cond = force_gimple_operand_gsi (gsi, cond, true, NULL_TREE, false,
GSI_CONTINUE_LINKING);
gsi_insert_after (gsi, gimple_build_cond_empty (cond), GSI_NEW_STMT);
edge e3 = make_edge (e1->src, e2->dest, EDGE_FALSE_VALUE);
e3->probability = profile_probability::guessed_always ().apply_scale (1, 8);
e1->probability = e3->probability.invert ();
e1->flags = EDGE_TRUE_VALUE;
set_immediate_dominator (CDI_DOMINATORS, e2->dest, e1->src);
*gsi = gsi_after_labels (e2->dest);
}
/* Expand all #pragma omp ordered depend(source) and
#pragma omp ordered depend(sink:...) constructs in the current
#pragma omp for ordered(n) region. */
static void
expand_omp_ordered_source_sink (struct omp_region *region,
struct omp_for_data *fd, tree *counts,
basic_block cont_bb)
{
struct omp_region *inner;
int i;
for (i = fd->collapse - 1; i < fd->ordered; i++)
if (i == fd->collapse - 1 && fd->collapse > 1)
counts[i] = NULL_TREE;
else if (i >= fd->collapse && !cont_bb)
counts[i] = build_zero_cst (fd->iter_type);
else if (!POINTER_TYPE_P (TREE_TYPE (fd->loops[i].v))
&& integer_onep (fd->loops[i].step))
counts[i] = NULL_TREE;
else
counts[i] = create_tmp_var (fd->iter_type, ".orditer");
tree atype
= build_array_type_nelts (fd->iter_type, fd->ordered - fd->collapse + 1);
counts[fd->ordered] = create_tmp_var (atype, ".orditera");
TREE_ADDRESSABLE (counts[fd->ordered]) = 1;
for (inner = region->inner; inner; inner = inner->next)
if (inner->type == GIMPLE_OMP_ORDERED)
{
gomp_ordered *ord_stmt = inner->ord_stmt;
gimple_stmt_iterator gsi = gsi_for_stmt (ord_stmt);
location_t loc = gimple_location (ord_stmt);
tree c;
for (c = gimple_omp_ordered_clauses (ord_stmt);
c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_DEPEND_KIND (c) == OMP_CLAUSE_DEPEND_SOURCE)
break;
if (c)
expand_omp_ordered_source (&gsi, fd, counts, loc);
for (c = gimple_omp_ordered_clauses (ord_stmt);
c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_DEPEND_KIND (c) == OMP_CLAUSE_DEPEND_SINK)
expand_omp_ordered_sink (&gsi, fd, counts, c, loc);
gsi_remove (&gsi, true);
}
}
/* Wrap the body into fd->ordered - fd->collapse loops that aren't
collapsed. */
static basic_block
expand_omp_for_ordered_loops (struct omp_for_data *fd, tree *counts,
basic_block cont_bb, basic_block body_bb,
bool ordered_lastprivate)
{
if (fd->ordered == fd->collapse)
return cont_bb;
if (!cont_bb)
{
gimple_stmt_iterator gsi = gsi_after_labels (body_bb);
for (int i = fd->collapse; i < fd->ordered; i++)
{
tree type = TREE_TYPE (fd->loops[i].v);
tree n1 = fold_convert (type, fd->loops[i].n1);
expand_omp_build_assign (&gsi, fd->loops[i].v, n1);
tree aref = build4 (ARRAY_REF, fd->iter_type, counts[fd->ordered],
size_int (i - fd->collapse + 1),
NULL_TREE, NULL_TREE);
expand_omp_build_assign (&gsi, aref, build_zero_cst (fd->iter_type));
}
return NULL;
}
for (int i = fd->ordered - 1; i >= fd->collapse; i--)
{
tree t, type = TREE_TYPE (fd->loops[i].v);
gimple_stmt_iterator gsi = gsi_after_labels (body_bb);
expand_omp_build_assign (&gsi, fd->loops[i].v,
fold_convert (type, fd->loops[i].n1));
if (counts[i])
expand_omp_build_assign (&gsi, counts[i],
build_zero_cst (fd->iter_type));
tree aref = build4 (ARRAY_REF, fd->iter_type, counts[fd->ordered],
size_int (i - fd->collapse + 1),
NULL_TREE, NULL_TREE);
expand_omp_build_assign (&gsi, aref, build_zero_cst (fd->iter_type));
if (!gsi_end_p (gsi))
gsi_prev (&gsi);
else
gsi = gsi_last_bb (body_bb);
edge e1 = split_block (body_bb, gsi_stmt (gsi));
basic_block new_body = e1->dest;
if (body_bb == cont_bb)
cont_bb = new_body;
edge e2 = NULL;
basic_block new_header;
if (EDGE_COUNT (cont_bb->preds) > 0)
{
gsi = gsi_last_bb (cont_bb);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loops[i].v,
fold_convert (sizetype,
fd->loops[i].step));
else
t = fold_build2 (PLUS_EXPR, type, fd->loops[i].v,
fold_convert (type, fd->loops[i].step));
expand_omp_build_assign (&gsi, fd->loops[i].v, t);
if (counts[i])
{
t = fold_build2 (PLUS_EXPR, fd->iter_type, counts[i],
build_int_cst (fd->iter_type, 1));
expand_omp_build_assign (&gsi, counts[i], t);
t = counts[i];
}
else
{
t = fold_build2 (MINUS_EXPR, TREE_TYPE (fd->loops[i].v),
fd->loops[i].v, fd->loops[i].n1);
t = fold_convert (fd->iter_type, t);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
}
aref = build4 (ARRAY_REF, fd->iter_type, counts[fd->ordered],
size_int (i - fd->collapse + 1),
NULL_TREE, NULL_TREE);
expand_omp_build_assign (&gsi, aref, t);
gsi_prev (&gsi);
e2 = split_block (cont_bb, gsi_stmt (gsi));
new_header = e2->dest;
}
else
new_header = cont_bb;
gsi = gsi_after_labels (new_header);
tree v = force_gimple_operand_gsi (&gsi, fd->loops[i].v, true, NULL_TREE,
true, GSI_SAME_STMT);
tree n2
= force_gimple_operand_gsi (&gsi, fold_convert (type, fd->loops[i].n2),
true, NULL_TREE, true, GSI_SAME_STMT);
t = build2 (fd->loops[i].cond_code, boolean_type_node, v, n2);
gsi_insert_before (&gsi, gimple_build_cond_empty (t), GSI_NEW_STMT);
edge e3 = split_block (new_header, gsi_stmt (gsi));
cont_bb = e3->dest;
remove_edge (e1);
make_edge (body_bb, new_header, EDGE_FALLTHRU);
e3->flags = EDGE_FALSE_VALUE;
e3->probability = profile_probability::guessed_always ().apply_scale (1, 8);
e1 = make_edge (new_header, new_body, EDGE_TRUE_VALUE);
e1->probability = e3->probability.invert ();
set_immediate_dominator (CDI_DOMINATORS, new_header, body_bb);
set_immediate_dominator (CDI_DOMINATORS, new_body, new_header);
if (e2)
{
struct loop *loop = alloc_loop ();
loop->header = new_header;
loop->latch = e2->src;
add_loop (loop, body_bb->loop_father);
}
}
/* If there are any lastprivate clauses and it is possible some loops
might have zero iterations, ensure all the decls are initialized,
otherwise we could crash evaluating C++ class iterators with lastprivate
clauses. */
bool need_inits = false;
for (int i = fd->collapse; ordered_lastprivate && i < fd->ordered; i++)
if (need_inits)
{
tree type = TREE_TYPE (fd->loops[i].v);
gimple_stmt_iterator gsi = gsi_after_labels (body_bb);
expand_omp_build_assign (&gsi, fd->loops[i].v,
fold_convert (type, fd->loops[i].n1));
}
else
{
tree type = TREE_TYPE (fd->loops[i].v);
tree this_cond = fold_build2 (fd->loops[i].cond_code,
boolean_type_node,
fold_convert (type, fd->loops[i].n1),
fold_convert (type, fd->loops[i].n2));
if (!integer_onep (this_cond))
need_inits = true;
}
return cont_bb;
}
/* A subroutine of expand_omp_for. Generate code for a parallel
loop with any schedule. Given parameters:
for (V = N1; V cond N2; V += STEP) BODY;
where COND is "<" or ">", we generate pseudocode
more = GOMP_loop_foo_start (N1, N2, STEP, CHUNK, &istart0, &iend0);
if (more) goto L0; else goto L3;
L0:
V = istart0;
iend = iend0;
L1:
BODY;
V += STEP;
if (V cond iend) goto L1; else goto L2;
L2:
if (GOMP_loop_foo_next (&istart0, &iend0)) goto L0; else goto L3;
L3:
If this is a combined omp parallel loop, instead of the call to
GOMP_loop_foo_start, we call GOMP_loop_foo_next.
If this is gimple_omp_for_combined_p loop, then instead of assigning
V and iend in L0 we assign the first two _looptemp_ clause decls of the
inner GIMPLE_OMP_FOR and V += STEP; and
if (V cond iend) goto L1; else goto L2; are removed.
For collapsed loops, given parameters:
collapse(3)
for (V1 = N11; V1 cond1 N12; V1 += STEP1)
for (V2 = N21; V2 cond2 N22; V2 += STEP2)
for (V3 = N31; V3 cond3 N32; V3 += STEP3)
BODY;
we generate pseudocode
if (__builtin_expect (N32 cond3 N31, 0)) goto Z0;
if (cond3 is <)
adj = STEP3 - 1;
else
adj = STEP3 + 1;
count3 = (adj + N32 - N31) / STEP3;
if (__builtin_expect (N22 cond2 N21, 0)) goto Z0;
if (cond2 is <)
adj = STEP2 - 1;
else
adj = STEP2 + 1;
count2 = (adj + N22 - N21) / STEP2;
if (__builtin_expect (N12 cond1 N11, 0)) goto Z0;
if (cond1 is <)
adj = STEP1 - 1;
else
adj = STEP1 + 1;
count1 = (adj + N12 - N11) / STEP1;
count = count1 * count2 * count3;
goto Z1;
Z0:
count = 0;
Z1:
more = GOMP_loop_foo_start (0, count, 1, CHUNK, &istart0, &iend0);
if (more) goto L0; else goto L3;
L0:
V = istart0;
T = V;
V3 = N31 + (T % count3) * STEP3;
T = T / count3;
V2 = N21 + (T % count2) * STEP2;
T = T / count2;
V1 = N11 + T * STEP1;
iend = iend0;
L1:
BODY;
V += 1;
if (V < iend) goto L10; else goto L2;
L10:
V3 += STEP3;
if (V3 cond3 N32) goto L1; else goto L11;
L11:
V3 = N31;
V2 += STEP2;
if (V2 cond2 N22) goto L1; else goto L12;
L12:
V2 = N21;
V1 += STEP1;
goto L1;
L2:
if (GOMP_loop_foo_next (&istart0, &iend0)) goto L0; else goto L3;
L3:
*/
static void
expand_omp_for_generic (struct omp_region *region,
struct omp_for_data *fd,
enum built_in_function start_fn,
enum built_in_function next_fn,
gimple *inner_stmt)
{
tree type, istart0, iend0, iend;
tree t, vmain, vback, bias = NULL_TREE;
basic_block entry_bb, cont_bb, exit_bb, l0_bb, l1_bb, collapse_bb;
basic_block l2_bb = NULL, l3_bb = NULL;
gimple_stmt_iterator gsi;
gassign *assign_stmt;
bool in_combined_parallel = is_combined_parallel (region);
bool broken_loop = region->cont == NULL;
edge e, ne;
tree *counts = NULL;
int i;
bool ordered_lastprivate = false;
gcc_assert (!broken_loop || !in_combined_parallel);
gcc_assert (fd->iter_type == long_integer_type_node
|| !in_combined_parallel);
entry_bb = region->entry;
cont_bb = region->cont;
collapse_bb = NULL;
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2);
gcc_assert (broken_loop
|| BRANCH_EDGE (entry_bb)->dest == FALLTHRU_EDGE (cont_bb)->dest);
l0_bb = split_edge (FALLTHRU_EDGE (entry_bb));
l1_bb = single_succ (l0_bb);
if (!broken_loop)
{
l2_bb = create_empty_bb (cont_bb);
gcc_assert (BRANCH_EDGE (cont_bb)->dest == l1_bb
|| (single_succ_edge (BRANCH_EDGE (cont_bb)->dest)->dest
== l1_bb));
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
}
else
l2_bb = NULL;
l3_bb = BRANCH_EDGE (entry_bb)->dest;
exit_bb = region->exit;
gsi = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
if (fd->ordered
&& omp_find_clause (gimple_omp_for_clauses (gsi_stmt (gsi)),
OMP_CLAUSE_LASTPRIVATE))
ordered_lastprivate = false;
if (fd->collapse > 1 || fd->ordered)
{
int first_zero_iter1 = -1, first_zero_iter2 = -1;
basic_block zero_iter1_bb = NULL, zero_iter2_bb = NULL, l2_dom_bb = NULL;
counts = XALLOCAVEC (tree, fd->ordered ? fd->ordered + 1 : fd->collapse);
expand_omp_for_init_counts (fd, &gsi, entry_bb, counts,
zero_iter1_bb, first_zero_iter1,
zero_iter2_bb, first_zero_iter2, l2_dom_bb);
if (zero_iter1_bb)
{
/* Some counts[i] vars might be uninitialized if
some loop has zero iterations. But the body shouldn't
be executed in that case, so just avoid uninit warnings. */
for (i = first_zero_iter1;
i < (fd->ordered ? fd->ordered : fd->collapse); i++)
if (SSA_VAR_P (counts[i]))
TREE_NO_WARNING (counts[i]) = 1;
gsi_prev (&gsi);
e = split_block (entry_bb, gsi_stmt (gsi));
entry_bb = e->dest;
make_edge (zero_iter1_bb, entry_bb, EDGE_FALLTHRU);
gsi = gsi_last_nondebug_bb (entry_bb);
set_immediate_dominator (CDI_DOMINATORS, entry_bb,
get_immediate_dominator (CDI_DOMINATORS,
zero_iter1_bb));
}
if (zero_iter2_bb)
{
/* Some counts[i] vars might be uninitialized if
some loop has zero iterations. But the body shouldn't
be executed in that case, so just avoid uninit warnings. */
for (i = first_zero_iter2; i < fd->ordered; i++)
if (SSA_VAR_P (counts[i]))
TREE_NO_WARNING (counts[i]) = 1;
if (zero_iter1_bb)
make_edge (zero_iter2_bb, entry_bb, EDGE_FALLTHRU);
else
{
gsi_prev (&gsi);
e = split_block (entry_bb, gsi_stmt (gsi));
entry_bb = e->dest;
make_edge (zero_iter2_bb, entry_bb, EDGE_FALLTHRU);
gsi = gsi_last_nondebug_bb (entry_bb);
set_immediate_dominator (CDI_DOMINATORS, entry_bb,
get_immediate_dominator
(CDI_DOMINATORS, zero_iter2_bb));
}
}
if (fd->collapse == 1)
{
counts[0] = fd->loop.n2;
fd->loop = fd->loops[0];
}
}
type = TREE_TYPE (fd->loop.v);
istart0 = create_tmp_var (fd->iter_type, ".istart0");
iend0 = create_tmp_var (fd->iter_type, ".iend0");
TREE_ADDRESSABLE (istart0) = 1;
TREE_ADDRESSABLE (iend0) = 1;
/* See if we need to bias by LLONG_MIN. */
if (fd->iter_type == long_long_unsigned_type_node
&& TREE_CODE (type) == INTEGER_TYPE
&& !TYPE_UNSIGNED (type)
&& fd->ordered == 0)
{
tree n1, n2;
if (fd->loop.cond_code == LT_EXPR)
{
n1 = fd->loop.n1;
n2 = fold_build2 (PLUS_EXPR, type, fd->loop.n2, fd->loop.step);
}
else
{
n1 = fold_build2 (MINUS_EXPR, type, fd->loop.n2, fd->loop.step);
n2 = fd->loop.n1;
}
if (TREE_CODE (n1) != INTEGER_CST
|| TREE_CODE (n2) != INTEGER_CST
|| ((tree_int_cst_sgn (n1) < 0) ^ (tree_int_cst_sgn (n2) < 0)))
bias = fold_convert (fd->iter_type, TYPE_MIN_VALUE (type));
}
gimple_stmt_iterator gsif = gsi;
gsi_prev (&gsif);
tree arr = NULL_TREE;
if (in_combined_parallel)
{
gcc_assert (fd->ordered == 0);
/* In a combined parallel loop, emit a call to
GOMP_loop_foo_next. */
t = build_call_expr (builtin_decl_explicit (next_fn), 2,
build_fold_addr_expr (istart0),
build_fold_addr_expr (iend0));
}
else
{
tree t0, t1, t2, t3, t4;
/* If this is not a combined parallel loop, emit a call to
GOMP_loop_foo_start in ENTRY_BB. */
t4 = build_fold_addr_expr (iend0);
t3 = build_fold_addr_expr (istart0);
if (fd->ordered)
{
t0 = build_int_cst (unsigned_type_node,
fd->ordered - fd->collapse + 1);
arr = create_tmp_var (build_array_type_nelts (fd->iter_type,
fd->ordered
- fd->collapse + 1),
".omp_counts");
DECL_NAMELESS (arr) = 1;
TREE_ADDRESSABLE (arr) = 1;
TREE_STATIC (arr) = 1;
vec<constructor_elt, va_gc> *v;
vec_alloc (v, fd->ordered - fd->collapse + 1);
int idx;
for (idx = 0; idx < fd->ordered - fd->collapse + 1; idx++)
{
tree c;
if (idx == 0 && fd->collapse > 1)
c = fd->loop.n2;
else
c = counts[idx + fd->collapse - 1];
tree purpose = size_int (idx);
CONSTRUCTOR_APPEND_ELT (v, purpose, c);
if (TREE_CODE (c) != INTEGER_CST)
TREE_STATIC (arr) = 0;
}
DECL_INITIAL (arr) = build_constructor (TREE_TYPE (arr), v);
if (!TREE_STATIC (arr))
force_gimple_operand_gsi (&gsi, build1 (DECL_EXPR,
void_type_node, arr),
true, NULL_TREE, true, GSI_SAME_STMT);
t1 = build_fold_addr_expr (arr);
t2 = NULL_TREE;
}
else
{
t2 = fold_convert (fd->iter_type, fd->loop.step);
t1 = fd->loop.n2;
t0 = fd->loop.n1;
if (gimple_omp_for_combined_into_p (fd->for_stmt))
{
tree innerc
= omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
t0 = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
t1 = OMP_CLAUSE_DECL (innerc);
}
if (POINTER_TYPE_P (TREE_TYPE (t0))
&& TYPE_PRECISION (TREE_TYPE (t0))
!= TYPE_PRECISION (fd->iter_type))
{
/* Avoid casting pointers to integer of a different size. */
tree itype = signed_type_for (type);
t1 = fold_convert (fd->iter_type, fold_convert (itype, t1));
t0 = fold_convert (fd->iter_type, fold_convert (itype, t0));
}
else
{
t1 = fold_convert (fd->iter_type, t1);
t0 = fold_convert (fd->iter_type, t0);
}
if (bias)
{
t1 = fold_build2 (PLUS_EXPR, fd->iter_type, t1, bias);
t0 = fold_build2 (PLUS_EXPR, fd->iter_type, t0, bias);
}
}
if (fd->iter_type == long_integer_type_node || fd->ordered)
{
if (fd->chunk_size)
{
t = fold_convert (fd->iter_type, fd->chunk_size);
t = omp_adjust_chunk_size (t, fd->simd_schedule);
if (fd->ordered)
t = build_call_expr (builtin_decl_explicit (start_fn),
5, t0, t1, t, t3, t4);
else
t = build_call_expr (builtin_decl_explicit (start_fn),
6, t0, t1, t2, t, t3, t4);
}
else if (fd->ordered)
t = build_call_expr (builtin_decl_explicit (start_fn),
4, t0, t1, t3, t4);
else
t = build_call_expr (builtin_decl_explicit (start_fn),
5, t0, t1, t2, t3, t4);
}
else
{
tree t5;
tree c_bool_type;
tree bfn_decl;
/* The GOMP_loop_ull_*start functions have additional boolean
argument, true for < loops and false for > loops.
In Fortran, the C bool type can be different from
boolean_type_node. */
bfn_decl = builtin_decl_explicit (start_fn);
c_bool_type = TREE_TYPE (TREE_TYPE (bfn_decl));
t5 = build_int_cst (c_bool_type,
fd->loop.cond_code == LT_EXPR ? 1 : 0);
if (fd->chunk_size)
{
tree bfn_decl = builtin_decl_explicit (start_fn);
t = fold_convert (fd->iter_type, fd->chunk_size);
t = omp_adjust_chunk_size (t, fd->simd_schedule);
t = build_call_expr (bfn_decl, 7, t5, t0, t1, t2, t, t3, t4);
}
else
t = build_call_expr (builtin_decl_explicit (start_fn),
6, t5, t0, t1, t2, t3, t4);
}
}
if (TREE_TYPE (t) != boolean_type_node)
t = fold_build2 (NE_EXPR, boolean_type_node,
t, build_int_cst (TREE_TYPE (t), 0));
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
if (arr && !TREE_STATIC (arr))
{
tree clobber = build_constructor (TREE_TYPE (arr), NULL);
TREE_THIS_VOLATILE (clobber) = 1;
gsi_insert_before (&gsi, gimple_build_assign (arr, clobber),
GSI_SAME_STMT);
}
gsi_insert_after (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_FOR statement. */
gsi_remove (&gsi, true);
if (gsi_end_p (gsif))
gsif = gsi_after_labels (gsi_bb (gsif));
gsi_next (&gsif);
/* Iteration setup for sequential loop goes in L0_BB. */
tree startvar = fd->loop.v;
tree endvar = NULL_TREE;
if (gimple_omp_for_combined_p (fd->for_stmt))
{
gcc_assert (gimple_code (inner_stmt) == GIMPLE_OMP_FOR
&& gimple_omp_for_kind (inner_stmt)
== GF_OMP_FOR_KIND_SIMD);
tree innerc = omp_find_clause (gimple_omp_for_clauses (inner_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
startvar = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
endvar = OMP_CLAUSE_DECL (innerc);
}
gsi = gsi_start_bb (l0_bb);
t = istart0;
if (fd->ordered && fd->collapse == 1)
t = fold_build2 (MULT_EXPR, fd->iter_type, t,
fold_convert (fd->iter_type, fd->loop.step));
else if (bias)
t = fold_build2 (MINUS_EXPR, fd->iter_type, t, bias);
if (fd->ordered && fd->collapse == 1)
{
if (POINTER_TYPE_P (TREE_TYPE (startvar)))
t = fold_build2 (POINTER_PLUS_EXPR, TREE_TYPE (startvar),
fd->loop.n1, fold_convert (sizetype, t));
else
{
t = fold_convert (TREE_TYPE (startvar), t);
t = fold_build2 (PLUS_EXPR, TREE_TYPE (startvar),
fd->loop.n1, t);
}
}
else
{
if (POINTER_TYPE_P (TREE_TYPE (startvar)))
t = fold_convert (signed_type_for (TREE_TYPE (startvar)), t);
t = fold_convert (TREE_TYPE (startvar), t);
}
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (startvar)
&& TREE_ADDRESSABLE (startvar),
NULL_TREE, false, GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (startvar, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
t = iend0;
if (fd->ordered && fd->collapse == 1)
t = fold_build2 (MULT_EXPR, fd->iter_type, t,
fold_convert (fd->iter_type, fd->loop.step));
else if (bias)
t = fold_build2 (MINUS_EXPR, fd->iter_type, t, bias);
if (fd->ordered && fd->collapse == 1)
{
if (POINTER_TYPE_P (TREE_TYPE (startvar)))
t = fold_build2 (POINTER_PLUS_EXPR, TREE_TYPE (startvar),
fd->loop.n1, fold_convert (sizetype, t));
else
{
t = fold_convert (TREE_TYPE (startvar), t);
t = fold_build2 (PLUS_EXPR, TREE_TYPE (startvar),
fd->loop.n1, t);
}
}
else
{
if (POINTER_TYPE_P (TREE_TYPE (startvar)))
t = fold_convert (signed_type_for (TREE_TYPE (startvar)), t);
t = fold_convert (TREE_TYPE (startvar), t);
}
iend = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (endvar)
{
assign_stmt = gimple_build_assign (endvar, iend);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
if (useless_type_conversion_p (TREE_TYPE (fd->loop.v), TREE_TYPE (iend)))
assign_stmt = gimple_build_assign (fd->loop.v, iend);
else
assign_stmt = gimple_build_assign (fd->loop.v, NOP_EXPR, iend);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
/* Handle linear clause adjustments. */
tree itercnt = NULL_TREE;
if (gimple_omp_for_kind (fd->for_stmt) == GF_OMP_FOR_KIND_FOR)
for (tree c = gimple_omp_for_clauses (fd->for_stmt);
c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_LINEAR
&& !OMP_CLAUSE_LINEAR_NO_COPYIN (c))
{
tree d = OMP_CLAUSE_DECL (c);
bool is_ref = omp_is_reference (d);
tree t = d, a, dest;
if (is_ref)
t = build_simple_mem_ref_loc (OMP_CLAUSE_LOCATION (c), t);
tree type = TREE_TYPE (t);
if (POINTER_TYPE_P (type))
type = sizetype;
dest = unshare_expr (t);
tree v = create_tmp_var (TREE_TYPE (t), NULL);
expand_omp_build_assign (&gsif, v, t);
if (itercnt == NULL_TREE)
{
itercnt = startvar;
tree n1 = fd->loop.n1;
if (POINTER_TYPE_P (TREE_TYPE (itercnt)))
{
itercnt
= fold_convert (signed_type_for (TREE_TYPE (itercnt)),
itercnt);
n1 = fold_convert (TREE_TYPE (itercnt), n1);
}
itercnt = fold_build2 (MINUS_EXPR, TREE_TYPE (itercnt),
itercnt, n1);
itercnt = fold_build2 (EXACT_DIV_EXPR, TREE_TYPE (itercnt),
itercnt, fd->loop.step);
itercnt = force_gimple_operand_gsi (&gsi, itercnt, true,
NULL_TREE, false,
GSI_CONTINUE_LINKING);
}
a = fold_build2 (MULT_EXPR, type,
fold_convert (type, itercnt),
fold_convert (type, OMP_CLAUSE_LINEAR_STEP (c)));
t = fold_build2 (type == TREE_TYPE (t) ? PLUS_EXPR
: POINTER_PLUS_EXPR, TREE_TYPE (t), v, a);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (dest, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
if (fd->collapse > 1)
expand_omp_for_init_vars (fd, &gsi, counts, inner_stmt, startvar);
if (fd->ordered)
{
/* Until now, counts array contained number of iterations or
variable containing it for ith loop. From now on, we need
those counts only for collapsed loops, and only for the 2nd
till the last collapsed one. Move those one element earlier,
we'll use counts[fd->collapse - 1] for the first source/sink
iteration counter and so on and counts[fd->ordered]
as the array holding the current counter values for
depend(source). */
if (fd->collapse > 1)
memmove (counts, counts + 1, (fd->collapse - 1) * sizeof (counts[0]));
if (broken_loop)
{
int i;
for (i = fd->collapse; i < fd->ordered; i++)
{
tree type = TREE_TYPE (fd->loops[i].v);
tree this_cond
= fold_build2 (fd->loops[i].cond_code, boolean_type_node,
fold_convert (type, fd->loops[i].n1),
fold_convert (type, fd->loops[i].n2));
if (!integer_onep (this_cond))
break;
}
if (i < fd->ordered)
{
cont_bb
= create_empty_bb (EXIT_BLOCK_PTR_FOR_FN (cfun)->prev_bb);
add_bb_to_loop (cont_bb, l1_bb->loop_father);
gimple_stmt_iterator gsi = gsi_after_labels (cont_bb);
gimple *g = gimple_build_omp_continue (fd->loop.v, fd->loop.v);
gsi_insert_before (&gsi, g, GSI_SAME_STMT);
make_edge (cont_bb, l3_bb, EDGE_FALLTHRU);
make_edge (cont_bb, l1_bb, 0);
l2_bb = create_empty_bb (cont_bb);
broken_loop = false;
}
}
expand_omp_ordered_source_sink (region, fd, counts, cont_bb);
cont_bb = expand_omp_for_ordered_loops (fd, counts, cont_bb, l1_bb,
ordered_lastprivate);
if (counts[fd->collapse - 1])
{
gcc_assert (fd->collapse == 1);
gsi = gsi_last_bb (l0_bb);
expand_omp_build_assign (&gsi, counts[fd->collapse - 1],
istart0, true);
gsi = gsi_last_bb (cont_bb);
t = fold_build2 (PLUS_EXPR, fd->iter_type, counts[fd->collapse - 1],
build_int_cst (fd->iter_type, 1));
expand_omp_build_assign (&gsi, counts[fd->collapse - 1], t);
tree aref = build4 (ARRAY_REF, fd->iter_type, counts[fd->ordered],
size_zero_node, NULL_TREE, NULL_TREE);
expand_omp_build_assign (&gsi, aref, counts[fd->collapse - 1]);
t = counts[fd->collapse - 1];
}
else if (fd->collapse > 1)
t = fd->loop.v;
else
{
t = fold_build2 (MINUS_EXPR, TREE_TYPE (fd->loops[0].v),
fd->loops[0].v, fd->loops[0].n1);
t = fold_convert (fd->iter_type, t);
}
gsi = gsi_last_bb (l0_bb);
tree aref = build4 (ARRAY_REF, fd->iter_type, counts[fd->ordered],
size_zero_node, NULL_TREE, NULL_TREE);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
expand_omp_build_assign (&gsi, aref, t, true);
}
if (!broken_loop)
{
/* Code to control the increment and predicate for the sequential
loop goes in the CONT_BB. */
gsi = gsi_last_nondebug_bb (cont_bb);
gomp_continue *cont_stmt = as_a <gomp_continue *> (gsi_stmt (gsi));
gcc_assert (gimple_code (cont_stmt) == GIMPLE_OMP_CONTINUE);
vmain = gimple_omp_continue_control_use (cont_stmt);
vback = gimple_omp_continue_control_def (cont_stmt);
if (!gimple_omp_for_combined_p (fd->for_stmt))
{
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (vmain, fd->loop.step);
else
t = fold_build2 (PLUS_EXPR, type, vmain, fd->loop.step);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (vback)
&& TREE_ADDRESSABLE (vback),
NULL_TREE, true, GSI_SAME_STMT);
assign_stmt = gimple_build_assign (vback, t);
gsi_insert_before (&gsi, assign_stmt, GSI_SAME_STMT);
if (fd->ordered && counts[fd->collapse - 1] == NULL_TREE)
{
if (fd->collapse > 1)
t = fd->loop.v;
else
{
t = fold_build2 (MINUS_EXPR, TREE_TYPE (fd->loops[0].v),
fd->loops[0].v, fd->loops[0].n1);
t = fold_convert (fd->iter_type, t);
}
tree aref = build4 (ARRAY_REF, fd->iter_type,
counts[fd->ordered], size_zero_node,
NULL_TREE, NULL_TREE);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
expand_omp_build_assign (&gsi, aref, t);
}
t = build2 (fd->loop.cond_code, boolean_type_node,
DECL_P (vback) && TREE_ADDRESSABLE (vback) ? t : vback,
iend);
gcond *cond_stmt = gimple_build_cond_empty (t);
gsi_insert_before (&gsi, cond_stmt, GSI_SAME_STMT);
}
/* Remove GIMPLE_OMP_CONTINUE. */
gsi_remove (&gsi, true);
if (fd->collapse > 1 && !gimple_omp_for_combined_p (fd->for_stmt))
collapse_bb = extract_omp_for_update_vars (fd, cont_bb, l1_bb);
/* Emit code to get the next parallel iteration in L2_BB. */
gsi = gsi_start_bb (l2_bb);
t = build_call_expr (builtin_decl_explicit (next_fn), 2,
build_fold_addr_expr (istart0),
build_fold_addr_expr (iend0));
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (TREE_TYPE (t) != boolean_type_node)
t = fold_build2 (NE_EXPR, boolean_type_node,
t, build_int_cst (TREE_TYPE (t), 0));
gcond *cond_stmt = gimple_build_cond_empty (t);
gsi_insert_after (&gsi, cond_stmt, GSI_CONTINUE_LINKING);
}
/* Add the loop cleanup function. */
gsi = gsi_last_nondebug_bb (exit_bb);
if (gimple_omp_return_nowait_p (gsi_stmt (gsi)))
t = builtin_decl_explicit (BUILT_IN_GOMP_LOOP_END_NOWAIT);
else if (gimple_omp_return_lhs (gsi_stmt (gsi)))
t = builtin_decl_explicit (BUILT_IN_GOMP_LOOP_END_CANCEL);
else
t = builtin_decl_explicit (BUILT_IN_GOMP_LOOP_END);
gcall *call_stmt = gimple_build_call (t, 0);
if (gimple_omp_return_lhs (gsi_stmt (gsi)))
gimple_call_set_lhs (call_stmt, gimple_omp_return_lhs (gsi_stmt (gsi)));
gsi_insert_after (&gsi, call_stmt, GSI_SAME_STMT);
if (fd->ordered)
{
tree arr = counts[fd->ordered];
tree clobber = build_constructor (TREE_TYPE (arr), NULL);
TREE_THIS_VOLATILE (clobber) = 1;
gsi_insert_after (&gsi, gimple_build_assign (arr, clobber),
GSI_SAME_STMT);
}
gsi_remove (&gsi, true);
/* Connect the new blocks. */
find_edge (entry_bb, l0_bb)->flags = EDGE_TRUE_VALUE;
find_edge (entry_bb, l3_bb)->flags = EDGE_FALSE_VALUE;
if (!broken_loop)
{
gimple_seq phis;
e = find_edge (cont_bb, l3_bb);
ne = make_edge (l2_bb, l3_bb, EDGE_FALSE_VALUE);
phis = phi_nodes (l3_bb);
for (gsi = gsi_start (phis); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple *phi = gsi_stmt (gsi);
SET_USE (PHI_ARG_DEF_PTR_FROM_EDGE (phi, ne),
PHI_ARG_DEF_FROM_EDGE (phi, e));
}
remove_edge (e);
make_edge (cont_bb, l2_bb, EDGE_FALSE_VALUE);
e = find_edge (cont_bb, l1_bb);
if (e == NULL)
{
e = BRANCH_EDGE (cont_bb);
gcc_assert (single_succ (e->dest) == l1_bb);
}
if (gimple_omp_for_combined_p (fd->for_stmt))
{
remove_edge (e);
e = NULL;
}
else if (fd->collapse > 1)
{
remove_edge (e);
e = make_edge (cont_bb, collapse_bb, EDGE_TRUE_VALUE);
}
else
e->flags = EDGE_TRUE_VALUE;
if (e)
{
e->probability = profile_probability::guessed_always ().apply_scale (7, 8);
find_edge (cont_bb, l2_bb)->probability = e->probability.invert ();
}
else
{
e = find_edge (cont_bb, l2_bb);
e->flags = EDGE_FALLTHRU;
}
make_edge (l2_bb, l0_bb, EDGE_TRUE_VALUE);
if (gimple_in_ssa_p (cfun))
{
/* Add phis to the outer loop that connect to the phis in the inner,
original loop, and move the loop entry value of the inner phi to
the loop entry value of the outer phi. */
gphi_iterator psi;
for (psi = gsi_start_phis (l3_bb); !gsi_end_p (psi); gsi_next (&psi))
{
source_location locus;
gphi *nphi;
gphi *exit_phi = psi.phi ();
if (virtual_operand_p (gimple_phi_result (exit_phi)))
continue;
edge l2_to_l3 = find_edge (l2_bb, l3_bb);
tree exit_res = PHI_ARG_DEF_FROM_EDGE (exit_phi, l2_to_l3);
basic_block latch = BRANCH_EDGE (cont_bb)->dest;
edge latch_to_l1 = find_edge (latch, l1_bb);
gphi *inner_phi
= find_phi_with_arg_on_edge (exit_res, latch_to_l1);
tree t = gimple_phi_result (exit_phi);
tree new_res = copy_ssa_name (t, NULL);
nphi = create_phi_node (new_res, l0_bb);
edge l0_to_l1 = find_edge (l0_bb, l1_bb);
t = PHI_ARG_DEF_FROM_EDGE (inner_phi, l0_to_l1);
locus = gimple_phi_arg_location_from_edge (inner_phi, l0_to_l1);
edge entry_to_l0 = find_edge (entry_bb, l0_bb);
add_phi_arg (nphi, t, entry_to_l0, locus);
edge l2_to_l0 = find_edge (l2_bb, l0_bb);
add_phi_arg (nphi, exit_res, l2_to_l0, UNKNOWN_LOCATION);
add_phi_arg (inner_phi, new_res, l0_to_l1, UNKNOWN_LOCATION);
}
}
set_immediate_dominator (CDI_DOMINATORS, l2_bb,
recompute_dominator (CDI_DOMINATORS, l2_bb));
set_immediate_dominator (CDI_DOMINATORS, l3_bb,
recompute_dominator (CDI_DOMINATORS, l3_bb));
set_immediate_dominator (CDI_DOMINATORS, l0_bb,
recompute_dominator (CDI_DOMINATORS, l0_bb));
set_immediate_dominator (CDI_DOMINATORS, l1_bb,
recompute_dominator (CDI_DOMINATORS, l1_bb));
/* We enter expand_omp_for_generic with a loop. This original loop may
have its own loop struct, or it may be part of an outer loop struct
(which may be the fake loop). */
struct loop *outer_loop = entry_bb->loop_father;
bool orig_loop_has_loop_struct = l1_bb->loop_father != outer_loop;
add_bb_to_loop (l2_bb, outer_loop);
/* We've added a new loop around the original loop. Allocate the
corresponding loop struct. */
struct loop *new_loop = alloc_loop ();
new_loop->header = l0_bb;
new_loop->latch = l2_bb;
add_loop (new_loop, outer_loop);
/* Allocate a loop structure for the original loop unless we already
had one. */
if (!orig_loop_has_loop_struct
&& !gimple_omp_for_combined_p (fd->for_stmt))
{
struct loop *orig_loop = alloc_loop ();
orig_loop->header = l1_bb;
/* The loop may have multiple latches. */
add_loop (orig_loop, new_loop);
}
}
}
/* A subroutine of expand_omp_for. Generate code for a parallel
loop with static schedule and no specified chunk size. Given
parameters:
for (V = N1; V cond N2; V += STEP) BODY;
where COND is "<" or ">", we generate pseudocode
if ((__typeof (V)) -1 > 0 && N2 cond N1) goto L2;
if (cond is <)
adj = STEP - 1;
else
adj = STEP + 1;
if ((__typeof (V)) -1 > 0 && cond is >)
n = -(adj + N2 - N1) / -STEP;
else
n = (adj + N2 - N1) / STEP;
q = n / nthreads;
tt = n % nthreads;
if (threadid < tt) goto L3; else goto L4;
L3:
tt = 0;
q = q + 1;
L4:
s0 = q * threadid + tt;
e0 = s0 + q;
V = s0 * STEP + N1;
if (s0 >= e0) goto L2; else goto L0;
L0:
e = e0 * STEP + N1;
L1:
BODY;
V += STEP;
if (V cond e) goto L1;
L2:
*/
static void
expand_omp_for_static_nochunk (struct omp_region *region,
struct omp_for_data *fd,
gimple *inner_stmt)
{
tree n, q, s0, e0, e, t, tt, nthreads, threadid;
tree type, itype, vmain, vback;
basic_block entry_bb, second_bb, third_bb, exit_bb, seq_start_bb;
basic_block body_bb, cont_bb, collapse_bb = NULL;
basic_block fin_bb;
gimple_stmt_iterator gsi;
edge ep;
bool broken_loop = region->cont == NULL;
tree *counts = NULL;
tree n1, n2, step;
itype = type = TREE_TYPE (fd->loop.v);
if (POINTER_TYPE_P (type))
itype = signed_type_for (type);
entry_bb = region->entry;
cont_bb = region->cont;
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2);
fin_bb = BRANCH_EDGE (entry_bb)->dest;
gcc_assert (broken_loop
|| (fin_bb == FALLTHRU_EDGE (cont_bb)->dest));
seq_start_bb = split_edge (FALLTHRU_EDGE (entry_bb));
body_bb = single_succ (seq_start_bb);
if (!broken_loop)
{
gcc_assert (BRANCH_EDGE (cont_bb)->dest == body_bb
|| single_succ (BRANCH_EDGE (cont_bb)->dest) == body_bb);
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
}
exit_bb = region->exit;
/* Iteration space partitioning goes in ENTRY_BB. */
gsi = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
if (fd->collapse > 1)
{
int first_zero_iter = -1, dummy = -1;
basic_block l2_dom_bb = NULL, dummy_bb = NULL;
counts = XALLOCAVEC (tree, fd->collapse);
expand_omp_for_init_counts (fd, &gsi, entry_bb, counts,
fin_bb, first_zero_iter,
dummy_bb, dummy, l2_dom_bb);
t = NULL_TREE;
}
else if (gimple_omp_for_combined_into_p (fd->for_stmt))
t = integer_one_node;
else
t = fold_binary (fd->loop.cond_code, boolean_type_node,
fold_convert (type, fd->loop.n1),
fold_convert (type, fd->loop.n2));
if (fd->collapse == 1
&& TYPE_UNSIGNED (type)
&& (t == NULL_TREE || !integer_onep (t)))
{
n1 = fold_convert (type, unshare_expr (fd->loop.n1));
n1 = force_gimple_operand_gsi (&gsi, n1, true, NULL_TREE,
true, GSI_SAME_STMT);
n2 = fold_convert (type, unshare_expr (fd->loop.n2));
n2 = force_gimple_operand_gsi (&gsi, n2, true, NULL_TREE,
true, GSI_SAME_STMT);
gcond *cond_stmt = gimple_build_cond (fd->loop.cond_code, n1, n2,
NULL_TREE, NULL_TREE);
gsi_insert_before (&gsi, cond_stmt, GSI_SAME_STMT);
if (walk_tree (gimple_cond_lhs_ptr (cond_stmt),
expand_omp_regimplify_p, NULL, NULL)
|| walk_tree (gimple_cond_rhs_ptr (cond_stmt),
expand_omp_regimplify_p, NULL, NULL))
{
gsi = gsi_for_stmt (cond_stmt);
gimple_regimplify_operands (cond_stmt, &gsi);
}
ep = split_block (entry_bb, cond_stmt);
ep->flags = EDGE_TRUE_VALUE;
entry_bb = ep->dest;
ep->probability = profile_probability::very_likely ();
ep = make_edge (ep->src, fin_bb, EDGE_FALSE_VALUE);
ep->probability = profile_probability::very_unlikely ();
if (gimple_in_ssa_p (cfun))
{
int dest_idx = find_edge (entry_bb, fin_bb)->dest_idx;
for (gphi_iterator gpi = gsi_start_phis (fin_bb);
!gsi_end_p (gpi); gsi_next (&gpi))
{
gphi *phi = gpi.phi ();
add_phi_arg (phi, gimple_phi_arg_def (phi, dest_idx),
ep, UNKNOWN_LOCATION);
}
}
gsi = gsi_last_bb (entry_bb);
}
switch (gimple_omp_for_kind (fd->for_stmt))
{
case GF_OMP_FOR_KIND_FOR:
nthreads = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS);
threadid = builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM);
break;
case GF_OMP_FOR_KIND_DISTRIBUTE:
nthreads = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_TEAMS);
threadid = builtin_decl_explicit (BUILT_IN_OMP_GET_TEAM_NUM);
break;
default:
gcc_unreachable ();
}
nthreads = build_call_expr (nthreads, 0);
nthreads = fold_convert (itype, nthreads);
nthreads = force_gimple_operand_gsi (&gsi, nthreads, true, NULL_TREE,
true, GSI_SAME_STMT);
threadid = build_call_expr (threadid, 0);
threadid = fold_convert (itype, threadid);
threadid = force_gimple_operand_gsi (&gsi, threadid, true, NULL_TREE,
true, GSI_SAME_STMT);
n1 = fd->loop.n1;
n2 = fd->loop.n2;
step = fd->loop.step;
if (gimple_omp_for_combined_into_p (fd->for_stmt))
{
tree innerc = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n1 = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n2 = OMP_CLAUSE_DECL (innerc);
}
n1 = force_gimple_operand_gsi (&gsi, fold_convert (type, n1),
true, NULL_TREE, true, GSI_SAME_STMT);
n2 = force_gimple_operand_gsi (&gsi, fold_convert (itype, n2),
true, NULL_TREE, true, GSI_SAME_STMT);
step = force_gimple_operand_gsi (&gsi, fold_convert (itype, step),
true, NULL_TREE, true, GSI_SAME_STMT);
t = build_int_cst (itype, (fd->loop.cond_code == LT_EXPR ? -1 : 1));
t = fold_build2 (PLUS_EXPR, itype, step, t);
t = fold_build2 (PLUS_EXPR, itype, t, n2);
t = fold_build2 (MINUS_EXPR, itype, t, fold_convert (itype, n1));
if (TYPE_UNSIGNED (itype) && fd->loop.cond_code == GT_EXPR)
t = fold_build2 (TRUNC_DIV_EXPR, itype,
fold_build1 (NEGATE_EXPR, itype, t),
fold_build1 (NEGATE_EXPR, itype, step));
else
t = fold_build2 (TRUNC_DIV_EXPR, itype, t, step);
t = fold_convert (itype, t);
n = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true, GSI_SAME_STMT);
q = create_tmp_reg (itype, "q");
t = fold_build2 (TRUNC_DIV_EXPR, itype, n, nthreads);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE, true, GSI_SAME_STMT);
gsi_insert_before (&gsi, gimple_build_assign (q, t), GSI_SAME_STMT);
tt = create_tmp_reg (itype, "tt");
t = fold_build2 (TRUNC_MOD_EXPR, itype, n, nthreads);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE, true, GSI_SAME_STMT);
gsi_insert_before (&gsi, gimple_build_assign (tt, t), GSI_SAME_STMT);
t = build2 (LT_EXPR, boolean_type_node, threadid, tt);
gcond *cond_stmt = gimple_build_cond_empty (t);
gsi_insert_before (&gsi, cond_stmt, GSI_SAME_STMT);
second_bb = split_block (entry_bb, cond_stmt)->dest;
gsi = gsi_last_nondebug_bb (second_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
gsi_insert_before (&gsi, gimple_build_assign (tt, build_int_cst (itype, 0)),
GSI_SAME_STMT);
gassign *assign_stmt
= gimple_build_assign (q, PLUS_EXPR, q, build_int_cst (itype, 1));
gsi_insert_before (&gsi, assign_stmt, GSI_SAME_STMT);
third_bb = split_block (second_bb, assign_stmt)->dest;
gsi = gsi_last_nondebug_bb (third_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
t = build2 (MULT_EXPR, itype, q, threadid);
t = build2 (PLUS_EXPR, itype, t, tt);
s0 = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true, GSI_SAME_STMT);
t = fold_build2 (PLUS_EXPR, itype, s0, q);
e0 = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true, GSI_SAME_STMT);
t = build2 (GE_EXPR, boolean_type_node, s0, e0);
gsi_insert_before (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_FOR statement. */
gsi_remove (&gsi, true);
/* Setup code for sequential iteration goes in SEQ_START_BB. */
gsi = gsi_start_bb (seq_start_bb);
tree startvar = fd->loop.v;
tree endvar = NULL_TREE;
if (gimple_omp_for_combined_p (fd->for_stmt))
{
tree clauses = gimple_code (inner_stmt) == GIMPLE_OMP_PARALLEL
? gimple_omp_parallel_clauses (inner_stmt)
: gimple_omp_for_clauses (inner_stmt);
tree innerc = omp_find_clause (clauses, OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
startvar = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
endvar = OMP_CLAUSE_DECL (innerc);
if (fd->collapse > 1 && TREE_CODE (fd->loop.n2) != INTEGER_CST
&& gimple_omp_for_kind (fd->for_stmt) == GF_OMP_FOR_KIND_DISTRIBUTE)
{
int i;
for (i = 1; i < fd->collapse; i++)
{
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
}
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
if (innerc)
{
/* If needed (distribute parallel for with lastprivate),
propagate down the total number of iterations. */
tree t = fold_convert (TREE_TYPE (OMP_CLAUSE_DECL (innerc)),
fd->loop.n2);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE, false,
GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (OMP_CLAUSE_DECL (innerc), t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
}
}
t = fold_convert (itype, s0);
t = fold_build2 (MULT_EXPR, itype, t, step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, n1);
t = fold_convert (TREE_TYPE (startvar), t);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (startvar)
&& TREE_ADDRESSABLE (startvar),
NULL_TREE, false, GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (startvar, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
t = fold_convert (itype, e0);
t = fold_build2 (MULT_EXPR, itype, t, step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, n1);
t = fold_convert (TREE_TYPE (startvar), t);
e = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (endvar)
{
assign_stmt = gimple_build_assign (endvar, e);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
if (useless_type_conversion_p (TREE_TYPE (fd->loop.v), TREE_TYPE (e)))
assign_stmt = gimple_build_assign (fd->loop.v, e);
else
assign_stmt = gimple_build_assign (fd->loop.v, NOP_EXPR, e);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
/* Handle linear clause adjustments. */
tree itercnt = NULL_TREE;
if (gimple_omp_for_kind (fd->for_stmt) == GF_OMP_FOR_KIND_FOR)
for (tree c = gimple_omp_for_clauses (fd->for_stmt);
c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_LINEAR
&& !OMP_CLAUSE_LINEAR_NO_COPYIN (c))
{
tree d = OMP_CLAUSE_DECL (c);
bool is_ref = omp_is_reference (d);
tree t = d, a, dest;
if (is_ref)
t = build_simple_mem_ref_loc (OMP_CLAUSE_LOCATION (c), t);
if (itercnt == NULL_TREE)
{
if (gimple_omp_for_combined_into_p (fd->for_stmt))
{
itercnt = fold_build2 (MINUS_EXPR, itype,
fold_convert (itype, n1),
fold_convert (itype, fd->loop.n1));
itercnt = fold_build2 (EXACT_DIV_EXPR, itype, itercnt, step);
itercnt = fold_build2 (PLUS_EXPR, itype, itercnt, s0);
itercnt = force_gimple_operand_gsi (&gsi, itercnt, true,
NULL_TREE, false,
GSI_CONTINUE_LINKING);
}
else
itercnt = s0;
}
tree type = TREE_TYPE (t);
if (POINTER_TYPE_P (type))
type = sizetype;
a = fold_build2 (MULT_EXPR, type,
fold_convert (type, itercnt),
fold_convert (type, OMP_CLAUSE_LINEAR_STEP (c)));
dest = unshare_expr (t);
t = fold_build2 (type == TREE_TYPE (t) ? PLUS_EXPR
: POINTER_PLUS_EXPR, TREE_TYPE (t), t, a);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (dest, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
if (fd->collapse > 1)
expand_omp_for_init_vars (fd, &gsi, counts, inner_stmt, startvar);
if (!broken_loop)
{
/* The code controlling the sequential loop replaces the
GIMPLE_OMP_CONTINUE. */
gsi = gsi_last_nondebug_bb (cont_bb);
gomp_continue *cont_stmt = as_a <gomp_continue *> (gsi_stmt (gsi));
gcc_assert (gimple_code (cont_stmt) == GIMPLE_OMP_CONTINUE);
vmain = gimple_omp_continue_control_use (cont_stmt);
vback = gimple_omp_continue_control_def (cont_stmt);
if (!gimple_omp_for_combined_p (fd->for_stmt))
{
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (vmain, step);
else
t = fold_build2 (PLUS_EXPR, type, vmain, step);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (vback)
&& TREE_ADDRESSABLE (vback),
NULL_TREE, true, GSI_SAME_STMT);
assign_stmt = gimple_build_assign (vback, t);
gsi_insert_before (&gsi, assign_stmt, GSI_SAME_STMT);
t = build2 (fd->loop.cond_code, boolean_type_node,
DECL_P (vback) && TREE_ADDRESSABLE (vback)
? t : vback, e);
gsi_insert_before (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
}
/* Remove the GIMPLE_OMP_CONTINUE statement. */
gsi_remove (&gsi, true);
if (fd->collapse > 1 && !gimple_omp_for_combined_p (fd->for_stmt))
collapse_bb = extract_omp_for_update_vars (fd, cont_bb, body_bb);
}
/* Replace the GIMPLE_OMP_RETURN with a barrier, or nothing. */
gsi = gsi_last_nondebug_bb (exit_bb);
if (!gimple_omp_return_nowait_p (gsi_stmt (gsi)))
{
t = gimple_omp_return_lhs (gsi_stmt (gsi));
gsi_insert_after (&gsi, omp_build_barrier (t), GSI_SAME_STMT);
}
gsi_remove (&gsi, true);
/* Connect all the blocks. */
ep = make_edge (entry_bb, third_bb, EDGE_FALSE_VALUE);
ep->probability = profile_probability::guessed_always ().apply_scale (3, 4);
ep = find_edge (entry_bb, second_bb);
ep->flags = EDGE_TRUE_VALUE;
ep->probability = profile_probability::guessed_always ().apply_scale (1, 4);
find_edge (third_bb, seq_start_bb)->flags = EDGE_FALSE_VALUE;
find_edge (third_bb, fin_bb)->flags = EDGE_TRUE_VALUE;
if (!broken_loop)
{
ep = find_edge (cont_bb, body_bb);
if (ep == NULL)
{
ep = BRANCH_EDGE (cont_bb);
gcc_assert (single_succ (ep->dest) == body_bb);
}
if (gimple_omp_for_combined_p (fd->for_stmt))
{
remove_edge (ep);
ep = NULL;
}
else if (fd->collapse > 1)
{
remove_edge (ep);
ep = make_edge (cont_bb, collapse_bb, EDGE_TRUE_VALUE);
}
else
ep->flags = EDGE_TRUE_VALUE;
find_edge (cont_bb, fin_bb)->flags
= ep ? EDGE_FALSE_VALUE : EDGE_FALLTHRU;
}
set_immediate_dominator (CDI_DOMINATORS, second_bb, entry_bb);
set_immediate_dominator (CDI_DOMINATORS, third_bb, entry_bb);
set_immediate_dominator (CDI_DOMINATORS, seq_start_bb, third_bb);
set_immediate_dominator (CDI_DOMINATORS, body_bb,
recompute_dominator (CDI_DOMINATORS, body_bb));
set_immediate_dominator (CDI_DOMINATORS, fin_bb,
recompute_dominator (CDI_DOMINATORS, fin_bb));
struct loop *loop = body_bb->loop_father;
if (loop != entry_bb->loop_father)
{
gcc_assert (broken_loop || loop->header == body_bb);
gcc_assert (broken_loop
|| loop->latch == region->cont
|| single_pred (loop->latch) == region->cont);
return;
}
if (!broken_loop && !gimple_omp_for_combined_p (fd->for_stmt))
{
loop = alloc_loop ();
loop->header = body_bb;
if (collapse_bb == NULL)
loop->latch = cont_bb;
add_loop (loop, body_bb->loop_father);
}
}
/* Return phi in E->DEST with ARG on edge E. */
static gphi *
find_phi_with_arg_on_edge (tree arg, edge e)
{
basic_block bb = e->dest;
for (gphi_iterator gpi = gsi_start_phis (bb);
!gsi_end_p (gpi);
gsi_next (&gpi))
{
gphi *phi = gpi.phi ();
if (PHI_ARG_DEF_FROM_EDGE (phi, e) == arg)
return phi;
}
return NULL;
}
/* A subroutine of expand_omp_for. Generate code for a parallel
loop with static schedule and a specified chunk size. Given
parameters:
for (V = N1; V cond N2; V += STEP) BODY;
where COND is "<" or ">", we generate pseudocode
if ((__typeof (V)) -1 > 0 && N2 cond N1) goto L2;
if (cond is <)
adj = STEP - 1;
else
adj = STEP + 1;
if ((__typeof (V)) -1 > 0 && cond is >)
n = -(adj + N2 - N1) / -STEP;
else
n = (adj + N2 - N1) / STEP;
trip = 0;
V = threadid * CHUNK * STEP + N1; -- this extra definition of V is
here so that V is defined
if the loop is not entered
L0:
s0 = (trip * nthreads + threadid) * CHUNK;
e0 = min (s0 + CHUNK, n);
if (s0 < n) goto L1; else goto L4;
L1:
V = s0 * STEP + N1;
e = e0 * STEP + N1;
L2:
BODY;
V += STEP;
if (V cond e) goto L2; else goto L3;
L3:
trip += 1;
goto L0;
L4:
*/
static void
expand_omp_for_static_chunk (struct omp_region *region,
struct omp_for_data *fd, gimple *inner_stmt)
{
tree n, s0, e0, e, t;
tree trip_var, trip_init, trip_main, trip_back, nthreads, threadid;
tree type, itype, vmain, vback, vextra;
basic_block entry_bb, exit_bb, body_bb, seq_start_bb, iter_part_bb;
basic_block trip_update_bb = NULL, cont_bb, collapse_bb = NULL, fin_bb;
gimple_stmt_iterator gsi;
edge se;
bool broken_loop = region->cont == NULL;
tree *counts = NULL;
tree n1, n2, step;
itype = type = TREE_TYPE (fd->loop.v);
if (POINTER_TYPE_P (type))
itype = signed_type_for (type);
entry_bb = region->entry;
se = split_block (entry_bb, last_stmt (entry_bb));
entry_bb = se->src;
iter_part_bb = se->dest;
cont_bb = region->cont;
gcc_assert (EDGE_COUNT (iter_part_bb->succs) == 2);
fin_bb = BRANCH_EDGE (iter_part_bb)->dest;
gcc_assert (broken_loop
|| fin_bb == FALLTHRU_EDGE (cont_bb)->dest);
seq_start_bb = split_edge (FALLTHRU_EDGE (iter_part_bb));
body_bb = single_succ (seq_start_bb);
if (!broken_loop)
{
gcc_assert (BRANCH_EDGE (cont_bb)->dest == body_bb
|| single_succ (BRANCH_EDGE (cont_bb)->dest) == body_bb);
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
trip_update_bb = split_edge (FALLTHRU_EDGE (cont_bb));
}
exit_bb = region->exit;
/* Trip and adjustment setup goes in ENTRY_BB. */
gsi = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
if (fd->collapse > 1)
{
int first_zero_iter = -1, dummy = -1;
basic_block l2_dom_bb = NULL, dummy_bb = NULL;
counts = XALLOCAVEC (tree, fd->collapse);
expand_omp_for_init_counts (fd, &gsi, entry_bb, counts,
fin_bb, first_zero_iter,
dummy_bb, dummy, l2_dom_bb);
t = NULL_TREE;
}
else if (gimple_omp_for_combined_into_p (fd->for_stmt))
t = integer_one_node;
else
t = fold_binary (fd->loop.cond_code, boolean_type_node,
fold_convert (type, fd->loop.n1),
fold_convert (type, fd->loop.n2));
if (fd->collapse == 1
&& TYPE_UNSIGNED (type)
&& (t == NULL_TREE || !integer_onep (t)))
{
n1 = fold_convert (type, unshare_expr (fd->loop.n1));
n1 = force_gimple_operand_gsi (&gsi, n1, true, NULL_TREE,
true, GSI_SAME_STMT);
n2 = fold_convert (type, unshare_expr (fd->loop.n2));
n2 = force_gimple_operand_gsi (&gsi, n2, true, NULL_TREE,
true, GSI_SAME_STMT);
gcond *cond_stmt = gimple_build_cond (fd->loop.cond_code, n1, n2,
NULL_TREE, NULL_TREE);
gsi_insert_before (&gsi, cond_stmt, GSI_SAME_STMT);
if (walk_tree (gimple_cond_lhs_ptr (cond_stmt),
expand_omp_regimplify_p, NULL, NULL)
|| walk_tree (gimple_cond_rhs_ptr (cond_stmt),
expand_omp_regimplify_p, NULL, NULL))
{
gsi = gsi_for_stmt (cond_stmt);
gimple_regimplify_operands (cond_stmt, &gsi);
}
se = split_block (entry_bb, cond_stmt);
se->flags = EDGE_TRUE_VALUE;
entry_bb = se->dest;
se->probability = profile_probability::very_likely ();
se = make_edge (se->src, fin_bb, EDGE_FALSE_VALUE);
se->probability = profile_probability::very_unlikely ();
if (gimple_in_ssa_p (cfun))
{
int dest_idx = find_edge (iter_part_bb, fin_bb)->dest_idx;
for (gphi_iterator gpi = gsi_start_phis (fin_bb);
!gsi_end_p (gpi); gsi_next (&gpi))
{
gphi *phi = gpi.phi ();
add_phi_arg (phi, gimple_phi_arg_def (phi, dest_idx),
se, UNKNOWN_LOCATION);
}
}
gsi = gsi_last_bb (entry_bb);
}
switch (gimple_omp_for_kind (fd->for_stmt))
{
case GF_OMP_FOR_KIND_FOR:
nthreads = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_THREADS);
threadid = builtin_decl_explicit (BUILT_IN_OMP_GET_THREAD_NUM);
break;
case GF_OMP_FOR_KIND_DISTRIBUTE:
nthreads = builtin_decl_explicit (BUILT_IN_OMP_GET_NUM_TEAMS);
threadid = builtin_decl_explicit (BUILT_IN_OMP_GET_TEAM_NUM);
break;
default:
gcc_unreachable ();
}
nthreads = build_call_expr (nthreads, 0);
nthreads = fold_convert (itype, nthreads);
nthreads = force_gimple_operand_gsi (&gsi, nthreads, true, NULL_TREE,
true, GSI_SAME_STMT);
threadid = build_call_expr (threadid, 0);
threadid = fold_convert (itype, threadid);
threadid = force_gimple_operand_gsi (&gsi, threadid, true, NULL_TREE,
true, GSI_SAME_STMT);
n1 = fd->loop.n1;
n2 = fd->loop.n2;
step = fd->loop.step;
if (gimple_omp_for_combined_into_p (fd->for_stmt))
{
tree innerc = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n1 = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n2 = OMP_CLAUSE_DECL (innerc);
}
n1 = force_gimple_operand_gsi (&gsi, fold_convert (type, n1),
true, NULL_TREE, true, GSI_SAME_STMT);
n2 = force_gimple_operand_gsi (&gsi, fold_convert (itype, n2),
true, NULL_TREE, true, GSI_SAME_STMT);
step = force_gimple_operand_gsi (&gsi, fold_convert (itype, step),
true, NULL_TREE, true, GSI_SAME_STMT);
tree chunk_size = fold_convert (itype, fd->chunk_size);
chunk_size = omp_adjust_chunk_size (chunk_size, fd->simd_schedule);
chunk_size
= force_gimple_operand_gsi (&gsi, chunk_size, true, NULL_TREE, true,
GSI_SAME_STMT);
t = build_int_cst (itype, (fd->loop.cond_code == LT_EXPR ? -1 : 1));
t = fold_build2 (PLUS_EXPR, itype, step, t);
t = fold_build2 (PLUS_EXPR, itype, t, n2);
t = fold_build2 (MINUS_EXPR, itype, t, fold_convert (itype, n1));
if (TYPE_UNSIGNED (itype) && fd->loop.cond_code == GT_EXPR)
t = fold_build2 (TRUNC_DIV_EXPR, itype,
fold_build1 (NEGATE_EXPR, itype, t),
fold_build1 (NEGATE_EXPR, itype, step));
else
t = fold_build2 (TRUNC_DIV_EXPR, itype, t, step);
t = fold_convert (itype, t);
n = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
trip_var = create_tmp_reg (itype, ".trip");
if (gimple_in_ssa_p (cfun))
{
trip_init = make_ssa_name (trip_var);
trip_main = make_ssa_name (trip_var);
trip_back = make_ssa_name (trip_var);
}
else
{
trip_init = trip_var;
trip_main = trip_var;
trip_back = trip_var;
}
gassign *assign_stmt
= gimple_build_assign (trip_init, build_int_cst (itype, 0));
gsi_insert_before (&gsi, assign_stmt, GSI_SAME_STMT);
t = fold_build2 (MULT_EXPR, itype, threadid, chunk_size);
t = fold_build2 (MULT_EXPR, itype, t, step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, n1);
vextra = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_FOR. */
gsi_remove (&gsi, true);
gimple_stmt_iterator gsif = gsi;
/* Iteration space partitioning goes in ITER_PART_BB. */
gsi = gsi_last_bb (iter_part_bb);
t = fold_build2 (MULT_EXPR, itype, trip_main, nthreads);
t = fold_build2 (PLUS_EXPR, itype, t, threadid);
t = fold_build2 (MULT_EXPR, itype, t, chunk_size);
s0 = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = fold_build2 (PLUS_EXPR, itype, s0, chunk_size);
t = fold_build2 (MIN_EXPR, itype, t, n);
e0 = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = build2 (LT_EXPR, boolean_type_node, s0, n);
gsi_insert_after (&gsi, gimple_build_cond_empty (t), GSI_CONTINUE_LINKING);
/* Setup code for sequential iteration goes in SEQ_START_BB. */
gsi = gsi_start_bb (seq_start_bb);
tree startvar = fd->loop.v;
tree endvar = NULL_TREE;
if (gimple_omp_for_combined_p (fd->for_stmt))
{
tree clauses = gimple_code (inner_stmt) == GIMPLE_OMP_PARALLEL
? gimple_omp_parallel_clauses (inner_stmt)
: gimple_omp_for_clauses (inner_stmt);
tree innerc = omp_find_clause (clauses, OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
startvar = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
endvar = OMP_CLAUSE_DECL (innerc);
if (fd->collapse > 1 && TREE_CODE (fd->loop.n2) != INTEGER_CST
&& gimple_omp_for_kind (fd->for_stmt) == GF_OMP_FOR_KIND_DISTRIBUTE)
{
int i;
for (i = 1; i < fd->collapse; i++)
{
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
}
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
if (innerc)
{
/* If needed (distribute parallel for with lastprivate),
propagate down the total number of iterations. */
tree t = fold_convert (TREE_TYPE (OMP_CLAUSE_DECL (innerc)),
fd->loop.n2);
t = force_gimple_operand_gsi (&gsi, t, false, NULL_TREE, false,
GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (OMP_CLAUSE_DECL (innerc), t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
}
}
t = fold_convert (itype, s0);
t = fold_build2 (MULT_EXPR, itype, t, step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, n1);
t = fold_convert (TREE_TYPE (startvar), t);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (startvar)
&& TREE_ADDRESSABLE (startvar),
NULL_TREE, false, GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (startvar, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
t = fold_convert (itype, e0);
t = fold_build2 (MULT_EXPR, itype, t, step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, n1);
t = fold_convert (TREE_TYPE (startvar), t);
e = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (endvar)
{
assign_stmt = gimple_build_assign (endvar, e);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
if (useless_type_conversion_p (TREE_TYPE (fd->loop.v), TREE_TYPE (e)))
assign_stmt = gimple_build_assign (fd->loop.v, e);
else
assign_stmt = gimple_build_assign (fd->loop.v, NOP_EXPR, e);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
/* Handle linear clause adjustments. */
tree itercnt = NULL_TREE, itercntbias = NULL_TREE;
if (gimple_omp_for_kind (fd->for_stmt) == GF_OMP_FOR_KIND_FOR)
for (tree c = gimple_omp_for_clauses (fd->for_stmt);
c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_LINEAR
&& !OMP_CLAUSE_LINEAR_NO_COPYIN (c))
{
tree d = OMP_CLAUSE_DECL (c);
bool is_ref = omp_is_reference (d);
tree t = d, a, dest;
if (is_ref)
t = build_simple_mem_ref_loc (OMP_CLAUSE_LOCATION (c), t);
tree type = TREE_TYPE (t);
if (POINTER_TYPE_P (type))
type = sizetype;
dest = unshare_expr (t);
tree v = create_tmp_var (TREE_TYPE (t), NULL);
expand_omp_build_assign (&gsif, v, t);
if (itercnt == NULL_TREE)
{
if (gimple_omp_for_combined_into_p (fd->for_stmt))
{
itercntbias
= fold_build2 (MINUS_EXPR, itype, fold_convert (itype, n1),
fold_convert (itype, fd->loop.n1));
itercntbias = fold_build2 (EXACT_DIV_EXPR, itype,
itercntbias, step);
itercntbias
= force_gimple_operand_gsi (&gsif, itercntbias, true,
NULL_TREE, true,
GSI_SAME_STMT);
itercnt = fold_build2 (PLUS_EXPR, itype, itercntbias, s0);
itercnt = force_gimple_operand_gsi (&gsi, itercnt, true,
NULL_TREE, false,
GSI_CONTINUE_LINKING);
}
else
itercnt = s0;
}
a = fold_build2 (MULT_EXPR, type,
fold_convert (type, itercnt),
fold_convert (type, OMP_CLAUSE_LINEAR_STEP (c)));
t = fold_build2 (type == TREE_TYPE (t) ? PLUS_EXPR
: POINTER_PLUS_EXPR, TREE_TYPE (t), v, a);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (dest, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
if (fd->collapse > 1)
expand_omp_for_init_vars (fd, &gsi, counts, inner_stmt, startvar);
if (!broken_loop)
{
/* The code controlling the sequential loop goes in CONT_BB,
replacing the GIMPLE_OMP_CONTINUE. */
gsi = gsi_last_nondebug_bb (cont_bb);
gomp_continue *cont_stmt = as_a <gomp_continue *> (gsi_stmt (gsi));
vmain = gimple_omp_continue_control_use (cont_stmt);
vback = gimple_omp_continue_control_def (cont_stmt);
if (!gimple_omp_for_combined_p (fd->for_stmt))
{
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (vmain, step);
else
t = fold_build2 (PLUS_EXPR, type, vmain, step);
if (DECL_P (vback) && TREE_ADDRESSABLE (vback))
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
true, GSI_SAME_STMT);
assign_stmt = gimple_build_assign (vback, t);
gsi_insert_before (&gsi, assign_stmt, GSI_SAME_STMT);
if (tree_int_cst_equal (fd->chunk_size, integer_one_node))
t = build2 (EQ_EXPR, boolean_type_node,
build_int_cst (itype, 0),
build_int_cst (itype, 1));
else
t = build2 (fd->loop.cond_code, boolean_type_node,
DECL_P (vback) && TREE_ADDRESSABLE (vback)
? t : vback, e);
gsi_insert_before (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
}
/* Remove GIMPLE_OMP_CONTINUE. */
gsi_remove (&gsi, true);
if (fd->collapse > 1 && !gimple_omp_for_combined_p (fd->for_stmt))
collapse_bb = extract_omp_for_update_vars (fd, cont_bb, body_bb);
/* Trip update code goes into TRIP_UPDATE_BB. */
gsi = gsi_start_bb (trip_update_bb);
t = build_int_cst (itype, 1);
t = build2 (PLUS_EXPR, itype, trip_main, t);
assign_stmt = gimple_build_assign (trip_back, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
/* Replace the GIMPLE_OMP_RETURN with a barrier, or nothing. */
gsi = gsi_last_nondebug_bb (exit_bb);
if (!gimple_omp_return_nowait_p (gsi_stmt (gsi)))
{
t = gimple_omp_return_lhs (gsi_stmt (gsi));
gsi_insert_after (&gsi, omp_build_barrier (t), GSI_SAME_STMT);
}
gsi_remove (&gsi, true);
/* Connect the new blocks. */
find_edge (iter_part_bb, seq_start_bb)->flags = EDGE_TRUE_VALUE;
find_edge (iter_part_bb, fin_bb)->flags = EDGE_FALSE_VALUE;
if (!broken_loop)
{
se = find_edge (cont_bb, body_bb);
if (se == NULL)
{
se = BRANCH_EDGE (cont_bb);
gcc_assert (single_succ (se->dest) == body_bb);
}
if (gimple_omp_for_combined_p (fd->for_stmt))
{
remove_edge (se);
se = NULL;
}
else if (fd->collapse > 1)
{
remove_edge (se);
se = make_edge (cont_bb, collapse_bb, EDGE_TRUE_VALUE);
}
else
se->flags = EDGE_TRUE_VALUE;
find_edge (cont_bb, trip_update_bb)->flags
= se ? EDGE_FALSE_VALUE : EDGE_FALLTHRU;
redirect_edge_and_branch (single_succ_edge (trip_update_bb),
iter_part_bb);
}
if (gimple_in_ssa_p (cfun))
{
gphi_iterator psi;
gphi *phi;
edge re, ene;
edge_var_map *vm;
size_t i;
gcc_assert (fd->collapse == 1 && !broken_loop);
/* When we redirect the edge from trip_update_bb to iter_part_bb, we
remove arguments of the phi nodes in fin_bb. We need to create
appropriate phi nodes in iter_part_bb instead. */
se = find_edge (iter_part_bb, fin_bb);
re = single_succ_edge (trip_update_bb);
vec<edge_var_map> *head = redirect_edge_var_map_vector (re);
ene = single_succ_edge (entry_bb);
psi = gsi_start_phis (fin_bb);
for (i = 0; !gsi_end_p (psi) && head->iterate (i, &vm);
gsi_next (&psi), ++i)
{
gphi *nphi;
source_location locus;
phi = psi.phi ();
if (operand_equal_p (gimple_phi_arg_def (phi, 0),
redirect_edge_var_map_def (vm), 0))
continue;
t = gimple_phi_result (phi);
gcc_assert (t == redirect_edge_var_map_result (vm));
if (!single_pred_p (fin_bb))
t = copy_ssa_name (t, phi);
nphi = create_phi_node (t, iter_part_bb);
t = PHI_ARG_DEF_FROM_EDGE (phi, se);
locus = gimple_phi_arg_location_from_edge (phi, se);
/* A special case -- fd->loop.v is not yet computed in
iter_part_bb, we need to use vextra instead. */
if (t == fd->loop.v)
t = vextra;
add_phi_arg (nphi, t, ene, locus);
locus = redirect_edge_var_map_location (vm);
tree back_arg = redirect_edge_var_map_def (vm);
add_phi_arg (nphi, back_arg, re, locus);
edge ce = find_edge (cont_bb, body_bb);
if (ce == NULL)
{
ce = BRANCH_EDGE (cont_bb);
gcc_assert (single_succ (ce->dest) == body_bb);
ce = single_succ_edge (ce->dest);
}
gphi *inner_loop_phi = find_phi_with_arg_on_edge (back_arg, ce);
gcc_assert (inner_loop_phi != NULL);
add_phi_arg (inner_loop_phi, gimple_phi_result (nphi),
find_edge (seq_start_bb, body_bb), locus);
if (!single_pred_p (fin_bb))
add_phi_arg (phi, gimple_phi_result (nphi), se, locus);
}
gcc_assert (gsi_end_p (psi) && (head == NULL || i == head->length ()));
redirect_edge_var_map_clear (re);
if (single_pred_p (fin_bb))
while (1)
{
psi = gsi_start_phis (fin_bb);
if (gsi_end_p (psi))
break;
remove_phi_node (&psi, false);
}
/* Make phi node for trip. */
phi = create_phi_node (trip_main, iter_part_bb);
add_phi_arg (phi, trip_back, single_succ_edge (trip_update_bb),
UNKNOWN_LOCATION);
add_phi_arg (phi, trip_init, single_succ_edge (entry_bb),
UNKNOWN_LOCATION);
}
if (!broken_loop)
set_immediate_dominator (CDI_DOMINATORS, trip_update_bb, cont_bb);
set_immediate_dominator (CDI_DOMINATORS, iter_part_bb,
recompute_dominator (CDI_DOMINATORS, iter_part_bb));
set_immediate_dominator (CDI_DOMINATORS, fin_bb,
recompute_dominator (CDI_DOMINATORS, fin_bb));
set_immediate_dominator (CDI_DOMINATORS, seq_start_bb,
recompute_dominator (CDI_DOMINATORS, seq_start_bb));
set_immediate_dominator (CDI_DOMINATORS, body_bb,
recompute_dominator (CDI_DOMINATORS, body_bb));
if (!broken_loop)
{
struct loop *loop = body_bb->loop_father;
struct loop *trip_loop = alloc_loop ();
trip_loop->header = iter_part_bb;
trip_loop->latch = trip_update_bb;
add_loop (trip_loop, iter_part_bb->loop_father);
if (loop != entry_bb->loop_father)
{
gcc_assert (loop->header == body_bb);
gcc_assert (loop->latch == region->cont
|| single_pred (loop->latch) == region->cont);
trip_loop->inner = loop;
return;
}
if (!gimple_omp_for_combined_p (fd->for_stmt))
{
loop = alloc_loop ();
loop->header = body_bb;
if (collapse_bb == NULL)
loop->latch = cont_bb;
add_loop (loop, trip_loop);
}
}
}
/* A subroutine of expand_omp_for. Generate code for a simd non-worksharing
loop. Given parameters:
for (V = N1; V cond N2; V += STEP) BODY;
where COND is "<" or ">", we generate pseudocode
V = N1;
goto L1;
L0:
BODY;
V += STEP;
L1:
if (V cond N2) goto L0; else goto L2;
L2:
For collapsed loops, given parameters:
collapse(3)
for (V1 = N11; V1 cond1 N12; V1 += STEP1)
for (V2 = N21; V2 cond2 N22; V2 += STEP2)
for (V3 = N31; V3 cond3 N32; V3 += STEP3)
BODY;
we generate pseudocode
if (cond3 is <)
adj = STEP3 - 1;
else
adj = STEP3 + 1;
count3 = (adj + N32 - N31) / STEP3;
if (cond2 is <)
adj = STEP2 - 1;
else
adj = STEP2 + 1;
count2 = (adj + N22 - N21) / STEP2;
if (cond1 is <)
adj = STEP1 - 1;
else
adj = STEP1 + 1;
count1 = (adj + N12 - N11) / STEP1;
count = count1 * count2 * count3;
V = 0;
V1 = N11;
V2 = N21;
V3 = N31;
goto L1;
L0:
BODY;
V += 1;
V3 += STEP3;
V2 += (V3 cond3 N32) ? 0 : STEP2;
V3 = (V3 cond3 N32) ? V3 : N31;
V1 += (V2 cond2 N22) ? 0 : STEP1;
V2 = (V2 cond2 N22) ? V2 : N21;
L1:
if (V < count) goto L0; else goto L2;
L2:
*/
static void
expand_omp_simd (struct omp_region *region, struct omp_for_data *fd)
{
tree type, t;
basic_block entry_bb, cont_bb, exit_bb, l0_bb, l1_bb, l2_bb, l2_dom_bb;
gimple_stmt_iterator gsi;
gimple *stmt;
gcond *cond_stmt;
bool broken_loop = region->cont == NULL;
edge e, ne;
tree *counts = NULL;
int i;
int safelen_int = INT_MAX;
tree safelen = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE_SAFELEN);
tree simduid = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__SIMDUID_);
tree n1, n2;
if (safelen)
{
poly_uint64 val;
safelen = OMP_CLAUSE_SAFELEN_EXPR (safelen);
if (!poly_int_tree_p (safelen, &val))
safelen_int = 0;
else
safelen_int = MIN (constant_lower_bound (val), INT_MAX);
if (safelen_int == 1)
safelen_int = 0;
}
type = TREE_TYPE (fd->loop.v);
entry_bb = region->entry;
cont_bb = region->cont;
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2);
gcc_assert (broken_loop
|| BRANCH_EDGE (entry_bb)->dest == FALLTHRU_EDGE (cont_bb)->dest);
l0_bb = FALLTHRU_EDGE (entry_bb)->dest;
if (!broken_loop)
{
gcc_assert (BRANCH_EDGE (cont_bb)->dest == l0_bb);
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
l1_bb = split_block (cont_bb, last_stmt (cont_bb))->dest;
l2_bb = BRANCH_EDGE (entry_bb)->dest;
}
else
{
BRANCH_EDGE (entry_bb)->flags &= ~EDGE_ABNORMAL;
l1_bb = split_edge (BRANCH_EDGE (entry_bb));
l2_bb = single_succ (l1_bb);
}
exit_bb = region->exit;
l2_dom_bb = NULL;
gsi = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
/* Not needed in SSA form right now. */
gcc_assert (!gimple_in_ssa_p (cfun));
if (fd->collapse > 1)
{
int first_zero_iter = -1, dummy = -1;
basic_block zero_iter_bb = l2_bb, dummy_bb = NULL;
counts = XALLOCAVEC (tree, fd->collapse);
expand_omp_for_init_counts (fd, &gsi, entry_bb, counts,
zero_iter_bb, first_zero_iter,
dummy_bb, dummy, l2_dom_bb);
}
if (l2_dom_bb == NULL)
l2_dom_bb = l1_bb;
n1 = fd->loop.n1;
n2 = fd->loop.n2;
if (gimple_omp_for_combined_into_p (fd->for_stmt))
{
tree innerc = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n1 = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n2 = OMP_CLAUSE_DECL (innerc);
}
tree step = fd->loop.step;
bool is_simt = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__SIMT_);
if (is_simt)
{
cfun->curr_properties &= ~PROP_gimple_lomp_dev;
is_simt = safelen_int > 1;
}
tree simt_lane = NULL_TREE, simt_maxlane = NULL_TREE;
if (is_simt)
{
simt_lane = create_tmp_var (unsigned_type_node);
gimple *g = gimple_build_call_internal (IFN_GOMP_SIMT_LANE, 0);
gimple_call_set_lhs (g, simt_lane);
gsi_insert_before (&gsi, g, GSI_SAME_STMT);
tree offset = fold_build2 (MULT_EXPR, TREE_TYPE (step), step,
fold_convert (TREE_TYPE (step), simt_lane));
n1 = fold_convert (type, n1);
if (POINTER_TYPE_P (type))
n1 = fold_build_pointer_plus (n1, offset);
else
n1 = fold_build2 (PLUS_EXPR, type, n1, fold_convert (type, offset));
/* Collapsed loops not handled for SIMT yet: limit to one lane only. */
if (fd->collapse > 1)
simt_maxlane = build_one_cst (unsigned_type_node);
else if (safelen_int < omp_max_simt_vf ())
simt_maxlane = build_int_cst (unsigned_type_node, safelen_int);
tree vf
= build_call_expr_internal_loc (UNKNOWN_LOCATION, IFN_GOMP_SIMT_VF,
unsigned_type_node, 0);
if (simt_maxlane)
vf = fold_build2 (MIN_EXPR, unsigned_type_node, vf, simt_maxlane);
vf = fold_convert (TREE_TYPE (step), vf);
step = fold_build2 (MULT_EXPR, TREE_TYPE (step), step, vf);
}
expand_omp_build_assign (&gsi, fd->loop.v, fold_convert (type, n1));
if (fd->collapse > 1)
{
if (gimple_omp_for_combined_into_p (fd->for_stmt))
{
gsi_prev (&gsi);
expand_omp_for_init_vars (fd, &gsi, counts, NULL, n1);
gsi_next (&gsi);
}
else
for (i = 0; i < fd->collapse; i++)
{
tree itype = TREE_TYPE (fd->loops[i].v);
if (POINTER_TYPE_P (itype))
itype = signed_type_for (itype);
t = fold_convert (TREE_TYPE (fd->loops[i].v), fd->loops[i].n1);
expand_omp_build_assign (&gsi, fd->loops[i].v, t);
}
}
/* Remove the GIMPLE_OMP_FOR statement. */
gsi_remove (&gsi, true);
if (!broken_loop)
{
/* Code to control the increment goes in the CONT_BB. */
gsi = gsi_last_nondebug_bb (cont_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_CONTINUE);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loop.v, step);
else
t = fold_build2 (PLUS_EXPR, type, fd->loop.v, step);
expand_omp_build_assign (&gsi, fd->loop.v, t);
if (fd->collapse > 1)
{
i = fd->collapse - 1;
if (POINTER_TYPE_P (TREE_TYPE (fd->loops[i].v)))
{
t = fold_convert (sizetype, fd->loops[i].step);
t = fold_build_pointer_plus (fd->loops[i].v, t);
}
else
{
t = fold_convert (TREE_TYPE (fd->loops[i].v),
fd->loops[i].step);
t = fold_build2 (PLUS_EXPR, TREE_TYPE (fd->loops[i].v),
fd->loops[i].v, t);
}
expand_omp_build_assign (&gsi, fd->loops[i].v, t);
for (i = fd->collapse - 1; i > 0; i--)
{
tree itype = TREE_TYPE (fd->loops[i].v);
tree itype2 = TREE_TYPE (fd->loops[i - 1].v);
if (POINTER_TYPE_P (itype2))
itype2 = signed_type_for (itype2);
t = fold_convert (itype2, fd->loops[i - 1].step);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true,
GSI_SAME_STMT);
t = build3 (COND_EXPR, itype2,
build2 (fd->loops[i].cond_code, boolean_type_node,
fd->loops[i].v,
fold_convert (itype, fd->loops[i].n2)),
build_int_cst (itype2, 0), t);
if (POINTER_TYPE_P (TREE_TYPE (fd->loops[i - 1].v)))
t = fold_build_pointer_plus (fd->loops[i - 1].v, t);
else
t = fold_build2 (PLUS_EXPR, itype2, fd->loops[i - 1].v, t);
expand_omp_build_assign (&gsi, fd->loops[i - 1].v, t);
t = fold_convert (itype, fd->loops[i].n1);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE, true,
GSI_SAME_STMT);
t = build3 (COND_EXPR, itype,
build2 (fd->loops[i].cond_code, boolean_type_node,
fd->loops[i].v,
fold_convert (itype, fd->loops[i].n2)),
fd->loops[i].v, t);
expand_omp_build_assign (&gsi, fd->loops[i].v, t);
}
}
/* Remove GIMPLE_OMP_CONTINUE. */
gsi_remove (&gsi, true);
}
/* Emit the condition in L1_BB. */
gsi = gsi_start_bb (l1_bb);
t = fold_convert (type, n2);
t = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
tree v = fd->loop.v;
if (DECL_P (v) && TREE_ADDRESSABLE (v))
v = force_gimple_operand_gsi (&gsi, v, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
t = build2 (fd->loop.cond_code, boolean_type_node, v, t);
cond_stmt = gimple_build_cond_empty (t);
gsi_insert_after (&gsi, cond_stmt, GSI_CONTINUE_LINKING);
if (walk_tree (gimple_cond_lhs_ptr (cond_stmt), expand_omp_regimplify_p,
NULL, NULL)
|| walk_tree (gimple_cond_rhs_ptr (cond_stmt), expand_omp_regimplify_p,
NULL, NULL))
{
gsi = gsi_for_stmt (cond_stmt);
gimple_regimplify_operands (cond_stmt, &gsi);
}
/* Add 'V -= STEP * (SIMT_VF - 1)' after the loop. */
if (is_simt)
{
gsi = gsi_start_bb (l2_bb);
step = fold_build2 (MINUS_EXPR, TREE_TYPE (step), fd->loop.step, step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (fd->loop.v, step);
else
t = fold_build2 (PLUS_EXPR, type, fd->loop.v, step);
expand_omp_build_assign (&gsi, fd->loop.v, t);
}
/* Remove GIMPLE_OMP_RETURN. */
gsi = gsi_last_nondebug_bb (exit_bb);
gsi_remove (&gsi, true);
/* Connect the new blocks. */
remove_edge (FALLTHRU_EDGE (entry_bb));
if (!broken_loop)
{
remove_edge (BRANCH_EDGE (entry_bb));
make_edge (entry_bb, l1_bb, EDGE_FALLTHRU);
e = BRANCH_EDGE (l1_bb);
ne = FALLTHRU_EDGE (l1_bb);
e->flags = EDGE_TRUE_VALUE;
}
else
{
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
ne = single_succ_edge (l1_bb);
e = make_edge (l1_bb, l0_bb, EDGE_TRUE_VALUE);
}
ne->flags = EDGE_FALSE_VALUE;
e->probability = profile_probability::guessed_always ().apply_scale (7, 8);
ne->probability = e->probability.invert ();
set_immediate_dominator (CDI_DOMINATORS, l1_bb, entry_bb);
set_immediate_dominator (CDI_DOMINATORS, l0_bb, l1_bb);
if (simt_maxlane)
{
cond_stmt = gimple_build_cond (LT_EXPR, simt_lane, simt_maxlane,
NULL_TREE, NULL_TREE);
gsi = gsi_last_bb (entry_bb);
gsi_insert_after (&gsi, cond_stmt, GSI_NEW_STMT);
make_edge (entry_bb, l2_bb, EDGE_FALSE_VALUE);
FALLTHRU_EDGE (entry_bb)->flags = EDGE_TRUE_VALUE;
FALLTHRU_EDGE (entry_bb)->probability
= profile_probability::guessed_always ().apply_scale (7, 8);
BRANCH_EDGE (entry_bb)->probability
= FALLTHRU_EDGE (entry_bb)->probability.invert ();
l2_dom_bb = entry_bb;
}
set_immediate_dominator (CDI_DOMINATORS, l2_bb, l2_dom_bb);
if (!broken_loop)
{
struct loop *loop = alloc_loop ();
loop->header = l1_bb;
loop->latch = cont_bb;
add_loop (loop, l1_bb->loop_father);
loop->safelen = safelen_int;
if (simduid)
{
loop->simduid = OMP_CLAUSE__SIMDUID__DECL (simduid);
cfun->has_simduid_loops = true;
}
/* If not -fno-tree-loop-vectorize, hint that we want to vectorize
the loop. */
if ((flag_tree_loop_vectorize
|| !global_options_set.x_flag_tree_loop_vectorize)
&& flag_tree_loop_optimize
&& loop->safelen > 1)
{
loop->force_vectorize = true;
cfun->has_force_vectorize_loops = true;
}
}
else if (simduid)
cfun->has_simduid_loops = true;
}
/* Taskloop construct is represented after gimplification with
two GIMPLE_OMP_FOR constructs with GIMPLE_OMP_TASK sandwiched
in between them. This routine expands the outer GIMPLE_OMP_FOR,
which should just compute all the needed loop temporaries
for GIMPLE_OMP_TASK. */
static void
expand_omp_taskloop_for_outer (struct omp_region *region,
struct omp_for_data *fd,
gimple *inner_stmt)
{
tree type, bias = NULL_TREE;
basic_block entry_bb, cont_bb, exit_bb;
gimple_stmt_iterator gsi;
gassign *assign_stmt;
tree *counts = NULL;
int i;
gcc_assert (inner_stmt);
gcc_assert (region->cont);
gcc_assert (gimple_code (inner_stmt) == GIMPLE_OMP_TASK
&& gimple_omp_task_taskloop_p (inner_stmt));
type = TREE_TYPE (fd->loop.v);
/* See if we need to bias by LLONG_MIN. */
if (fd->iter_type == long_long_unsigned_type_node
&& TREE_CODE (type) == INTEGER_TYPE
&& !TYPE_UNSIGNED (type))
{
tree n1, n2;
if (fd->loop.cond_code == LT_EXPR)
{
n1 = fd->loop.n1;
n2 = fold_build2 (PLUS_EXPR, type, fd->loop.n2, fd->loop.step);
}
else
{
n1 = fold_build2 (MINUS_EXPR, type, fd->loop.n2, fd->loop.step);
n2 = fd->loop.n1;
}
if (TREE_CODE (n1) != INTEGER_CST
|| TREE_CODE (n2) != INTEGER_CST
|| ((tree_int_cst_sgn (n1) < 0) ^ (tree_int_cst_sgn (n2) < 0)))
bias = fold_convert (fd->iter_type, TYPE_MIN_VALUE (type));
}
entry_bb = region->entry;
cont_bb = region->cont;
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2);
gcc_assert (BRANCH_EDGE (entry_bb)->dest == FALLTHRU_EDGE (cont_bb)->dest);
exit_bb = region->exit;
gsi = gsi_last_nondebug_bb (entry_bb);
gimple *for_stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (for_stmt) == GIMPLE_OMP_FOR);
if (fd->collapse > 1)
{
int first_zero_iter = -1, dummy = -1;
basic_block zero_iter_bb = NULL, dummy_bb = NULL, l2_dom_bb = NULL;
counts = XALLOCAVEC (tree, fd->collapse);
expand_omp_for_init_counts (fd, &gsi, entry_bb, counts,
zero_iter_bb, first_zero_iter,
dummy_bb, dummy, l2_dom_bb);
if (zero_iter_bb)
{
/* Some counts[i] vars might be uninitialized if
some loop has zero iterations. But the body shouldn't
be executed in that case, so just avoid uninit warnings. */
for (i = first_zero_iter; i < fd->collapse; i++)
if (SSA_VAR_P (counts[i]))
TREE_NO_WARNING (counts[i]) = 1;
gsi_prev (&gsi);
edge e = split_block (entry_bb, gsi_stmt (gsi));
entry_bb = e->dest;
make_edge (zero_iter_bb, entry_bb, EDGE_FALLTHRU);
gsi = gsi_last_bb (entry_bb);
set_immediate_dominator (CDI_DOMINATORS, entry_bb,
get_immediate_dominator (CDI_DOMINATORS,
zero_iter_bb));
}
}
tree t0, t1;
t1 = fd->loop.n2;
t0 = fd->loop.n1;
if (POINTER_TYPE_P (TREE_TYPE (t0))
&& TYPE_PRECISION (TREE_TYPE (t0))
!= TYPE_PRECISION (fd->iter_type))
{
/* Avoid casting pointers to integer of a different size. */
tree itype = signed_type_for (type);
t1 = fold_convert (fd->iter_type, fold_convert (itype, t1));
t0 = fold_convert (fd->iter_type, fold_convert (itype, t0));
}
else
{
t1 = fold_convert (fd->iter_type, t1);
t0 = fold_convert (fd->iter_type, t0);
}
if (bias)
{
t1 = fold_build2 (PLUS_EXPR, fd->iter_type, t1, bias);
t0 = fold_build2 (PLUS_EXPR, fd->iter_type, t0, bias);
}
tree innerc = omp_find_clause (gimple_omp_task_clauses (inner_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
tree startvar = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc), OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
tree endvar = OMP_CLAUSE_DECL (innerc);
if (fd->collapse > 1 && TREE_CODE (fd->loop.n2) != INTEGER_CST)
{
gcc_assert (innerc);
for (i = 1; i < fd->collapse; i++)
{
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
}
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
if (innerc)
{
/* If needed (inner taskloop has lastprivate clause), propagate
down the total number of iterations. */
tree t = force_gimple_operand_gsi (&gsi, fd->loop.n2, false,
NULL_TREE, false,
GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (OMP_CLAUSE_DECL (innerc), t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
}
t0 = force_gimple_operand_gsi (&gsi, t0, false, NULL_TREE, false,
GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (startvar, t0);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
t1 = force_gimple_operand_gsi (&gsi, t1, false, NULL_TREE, false,
GSI_CONTINUE_LINKING);
assign_stmt = gimple_build_assign (endvar, t1);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
if (fd->collapse > 1)
expand_omp_for_init_vars (fd, &gsi, counts, inner_stmt, startvar);
/* Remove the GIMPLE_OMP_FOR statement. */
gsi = gsi_for_stmt (for_stmt);
gsi_remove (&gsi, true);
gsi = gsi_last_nondebug_bb (cont_bb);
gsi_remove (&gsi, true);
gsi = gsi_last_nondebug_bb (exit_bb);
gsi_remove (&gsi, true);
FALLTHRU_EDGE (entry_bb)->probability = profile_probability::always ();
remove_edge (BRANCH_EDGE (entry_bb));
FALLTHRU_EDGE (cont_bb)->probability = profile_probability::always ();
remove_edge (BRANCH_EDGE (cont_bb));
set_immediate_dominator (CDI_DOMINATORS, exit_bb, cont_bb);
set_immediate_dominator (CDI_DOMINATORS, region->entry,
recompute_dominator (CDI_DOMINATORS, region->entry));
}
/* Taskloop construct is represented after gimplification with
two GIMPLE_OMP_FOR constructs with GIMPLE_OMP_TASK sandwiched
in between them. This routine expands the inner GIMPLE_OMP_FOR.
GOMP_taskloop{,_ull} function arranges for each task to be given just
a single range of iterations. */
static void
expand_omp_taskloop_for_inner (struct omp_region *region,
struct omp_for_data *fd,
gimple *inner_stmt)
{
tree e, t, type, itype, vmain, vback, bias = NULL_TREE;
basic_block entry_bb, exit_bb, body_bb, cont_bb, collapse_bb = NULL;
basic_block fin_bb;
gimple_stmt_iterator gsi;
edge ep;
bool broken_loop = region->cont == NULL;
tree *counts = NULL;
tree n1, n2, step;
itype = type = TREE_TYPE (fd->loop.v);
if (POINTER_TYPE_P (type))
itype = signed_type_for (type);
/* See if we need to bias by LLONG_MIN. */
if (fd->iter_type == long_long_unsigned_type_node
&& TREE_CODE (type) == INTEGER_TYPE
&& !TYPE_UNSIGNED (type))
{
tree n1, n2;
if (fd->loop.cond_code == LT_EXPR)
{
n1 = fd->loop.n1;
n2 = fold_build2 (PLUS_EXPR, type, fd->loop.n2, fd->loop.step);
}
else
{
n1 = fold_build2 (MINUS_EXPR, type, fd->loop.n2, fd->loop.step);
n2 = fd->loop.n1;
}
if (TREE_CODE (n1) != INTEGER_CST
|| TREE_CODE (n2) != INTEGER_CST
|| ((tree_int_cst_sgn (n1) < 0) ^ (tree_int_cst_sgn (n2) < 0)))
bias = fold_convert (fd->iter_type, TYPE_MIN_VALUE (type));
}
entry_bb = region->entry;
cont_bb = region->cont;
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2);
fin_bb = BRANCH_EDGE (entry_bb)->dest;
gcc_assert (broken_loop
|| (fin_bb == FALLTHRU_EDGE (cont_bb)->dest));
body_bb = FALLTHRU_EDGE (entry_bb)->dest;
if (!broken_loop)
{
gcc_assert (BRANCH_EDGE (cont_bb)->dest == body_bb);
gcc_assert (EDGE_COUNT (cont_bb->succs) == 2);
}
exit_bb = region->exit;
/* Iteration space partitioning goes in ENTRY_BB. */
gsi = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_FOR);
if (fd->collapse > 1)
{
int first_zero_iter = -1, dummy = -1;
basic_block l2_dom_bb = NULL, dummy_bb = NULL;
counts = XALLOCAVEC (tree, fd->collapse);
expand_omp_for_init_counts (fd, &gsi, entry_bb, counts,
fin_bb, first_zero_iter,
dummy_bb, dummy, l2_dom_bb);
t = NULL_TREE;
}
else
t = integer_one_node;
step = fd->loop.step;
tree innerc = omp_find_clause (gimple_omp_for_clauses (fd->for_stmt),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n1 = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc), OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
n2 = OMP_CLAUSE_DECL (innerc);
if (bias)
{
n1 = fold_build2 (PLUS_EXPR, fd->iter_type, n1, bias);
n2 = fold_build2 (PLUS_EXPR, fd->iter_type, n2, bias);
}
n1 = force_gimple_operand_gsi (&gsi, fold_convert (type, n1),
true, NULL_TREE, true, GSI_SAME_STMT);
n2 = force_gimple_operand_gsi (&gsi, fold_convert (itype, n2),
true, NULL_TREE, true, GSI_SAME_STMT);
step = force_gimple_operand_gsi (&gsi, fold_convert (itype, step),
true, NULL_TREE, true, GSI_SAME_STMT);
tree startvar = fd->loop.v;
tree endvar = NULL_TREE;
if (gimple_omp_for_combined_p (fd->for_stmt))
{
tree clauses = gimple_omp_for_clauses (inner_stmt);
tree innerc = omp_find_clause (clauses, OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
startvar = OMP_CLAUSE_DECL (innerc);
innerc = omp_find_clause (OMP_CLAUSE_CHAIN (innerc),
OMP_CLAUSE__LOOPTEMP_);
gcc_assert (innerc);
endvar = OMP_CLAUSE_DECL (innerc);
}
t = fold_convert (TREE_TYPE (startvar), n1);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (startvar)
&& TREE_ADDRESSABLE (startvar),
NULL_TREE, false, GSI_CONTINUE_LINKING);
gimple *assign_stmt = gimple_build_assign (startvar, t);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
t = fold_convert (TREE_TYPE (startvar), n2);
e = force_gimple_operand_gsi (&gsi, t, true, NULL_TREE,
false, GSI_CONTINUE_LINKING);
if (endvar)
{
assign_stmt = gimple_build_assign (endvar, e);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
if (useless_type_conversion_p (TREE_TYPE (fd->loop.v), TREE_TYPE (e)))
assign_stmt = gimple_build_assign (fd->loop.v, e);
else
assign_stmt = gimple_build_assign (fd->loop.v, NOP_EXPR, e);
gsi_insert_after (&gsi, assign_stmt, GSI_CONTINUE_LINKING);
}
if (fd->collapse > 1)
expand_omp_for_init_vars (fd, &gsi, counts, inner_stmt, startvar);
if (!broken_loop)
{
/* The code controlling the sequential loop replaces the
GIMPLE_OMP_CONTINUE. */
gsi = gsi_last_nondebug_bb (cont_bb);
gomp_continue *cont_stmt = as_a <gomp_continue *> (gsi_stmt (gsi));
gcc_assert (gimple_code (cont_stmt) == GIMPLE_OMP_CONTINUE);
vmain = gimple_omp_continue_control_use (cont_stmt);
vback = gimple_omp_continue_control_def (cont_stmt);
if (!gimple_omp_for_combined_p (fd->for_stmt))
{
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (vmain, step);
else
t = fold_build2 (PLUS_EXPR, type, vmain, step);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (vback)
&& TREE_ADDRESSABLE (vback),
NULL_TREE, true, GSI_SAME_STMT);
assign_stmt = gimple_build_assign (vback, t);
gsi_insert_before (&gsi, assign_stmt, GSI_SAME_STMT);
t = build2 (fd->loop.cond_code, boolean_type_node,
DECL_P (vback) && TREE_ADDRESSABLE (vback)
? t : vback, e);
gsi_insert_before (&gsi, gimple_build_cond_empty (t), GSI_SAME_STMT);
}
/* Remove the GIMPLE_OMP_CONTINUE statement. */
gsi_remove (&gsi, true);
if (fd->collapse > 1 && !gimple_omp_for_combined_p (fd->for_stmt))
collapse_bb = extract_omp_for_update_vars (fd, cont_bb, body_bb);
}
/* Remove the GIMPLE_OMP_FOR statement. */
gsi = gsi_for_stmt (fd->for_stmt);
gsi_remove (&gsi, true);
/* Remove the GIMPLE_OMP_RETURN statement. */
gsi = gsi_last_nondebug_bb (exit_bb);
gsi_remove (&gsi, true);
FALLTHRU_EDGE (entry_bb)->probability = profile_probability::always ();
if (!broken_loop)
remove_edge (BRANCH_EDGE (entry_bb));
else
{
remove_edge_and_dominated_blocks (BRANCH_EDGE (entry_bb));
region->outer->cont = NULL;
}
/* Connect all the blocks. */
if (!broken_loop)
{
ep = find_edge (cont_bb, body_bb);
if (gimple_omp_for_combined_p (fd->for_stmt))
{
remove_edge (ep);
ep = NULL;
}
else if (fd->collapse > 1)
{
remove_edge (ep);
ep = make_edge (cont_bb, collapse_bb, EDGE_TRUE_VALUE);
}
else
ep->flags = EDGE_TRUE_VALUE;
find_edge (cont_bb, fin_bb)->flags
= ep ? EDGE_FALSE_VALUE : EDGE_FALLTHRU;
}
set_immediate_dominator (CDI_DOMINATORS, body_bb,
recompute_dominator (CDI_DOMINATORS, body_bb));
if (!broken_loop)
set_immediate_dominator (CDI_DOMINATORS, fin_bb,
recompute_dominator (CDI_DOMINATORS, fin_bb));
if (!broken_loop && !gimple_omp_for_combined_p (fd->for_stmt))
{
struct loop *loop = alloc_loop ();
loop->header = body_bb;
if (collapse_bb == NULL)
loop->latch = cont_bb;
add_loop (loop, body_bb->loop_father);
}
}
/* A subroutine of expand_omp_for. Generate code for an OpenACC
partitioned loop. The lowering here is abstracted, in that the
loop parameters are passed through internal functions, which are
further lowered by oacc_device_lower, once we get to the target
compiler. The loop is of the form:
for (V = B; V LTGT E; V += S) {BODY}
where LTGT is < or >. We may have a specified chunking size, CHUNKING
(constant 0 for no chunking) and we will have a GWV partitioning
mask, specifying dimensions over which the loop is to be
partitioned (see note below). We generate code that looks like
(this ignores tiling):
<entry_bb> [incoming FALL->body, BRANCH->exit]
typedef signedintify (typeof (V)) T; // underlying signed integral type
T range = E - B;
T chunk_no = 0;
T DIR = LTGT == '<' ? +1 : -1;
T chunk_max = GOACC_LOOP_CHUNK (dir, range, S, CHUNK_SIZE, GWV);
T step = GOACC_LOOP_STEP (dir, range, S, CHUNK_SIZE, GWV);
<head_bb> [created by splitting end of entry_bb]
T offset = GOACC_LOOP_OFFSET (dir, range, S, CHUNK_SIZE, GWV, chunk_no);
T bound = GOACC_LOOP_BOUND (dir, range, S, CHUNK_SIZE, GWV, offset);
if (!(offset LTGT bound)) goto bottom_bb;
<body_bb> [incoming]
V = B + offset;
{BODY}
<cont_bb> [incoming, may == body_bb FALL->exit_bb, BRANCH->body_bb]
offset += step;
if (offset LTGT bound) goto body_bb; [*]
<bottom_bb> [created by splitting start of exit_bb] insert BRANCH->head_bb
chunk_no++;
if (chunk < chunk_max) goto head_bb;
<exit_bb> [incoming]
V = B + ((range -/+ 1) / S +/- 1) * S [*]
[*] Needed if V live at end of loop. */
static void
expand_oacc_for (struct omp_region *region, struct omp_for_data *fd)
{
tree v = fd->loop.v;
enum tree_code cond_code = fd->loop.cond_code;
enum tree_code plus_code = PLUS_EXPR;
tree chunk_size = integer_minus_one_node;
tree gwv = integer_zero_node;
tree iter_type = TREE_TYPE (v);
tree diff_type = iter_type;
tree plus_type = iter_type;
struct oacc_collapse *counts = NULL;
gcc_checking_assert (gimple_omp_for_kind (fd->for_stmt)
== GF_OMP_FOR_KIND_OACC_LOOP);
gcc_assert (!gimple_omp_for_combined_into_p (fd->for_stmt));
gcc_assert (cond_code == LT_EXPR || cond_code == GT_EXPR);
if (POINTER_TYPE_P (iter_type))
{
plus_code = POINTER_PLUS_EXPR;
plus_type = sizetype;
}
if (POINTER_TYPE_P (diff_type) || TYPE_UNSIGNED (diff_type))
diff_type = signed_type_for (diff_type);
if (TYPE_PRECISION (diff_type) < TYPE_PRECISION (integer_type_node))
diff_type = integer_type_node;
basic_block entry_bb = region->entry; /* BB ending in OMP_FOR */
basic_block exit_bb = region->exit; /* BB ending in OMP_RETURN */
basic_block cont_bb = region->cont; /* BB ending in OMP_CONTINUE */
basic_block bottom_bb = NULL;
/* entry_bb has two sucessors; the branch edge is to the exit
block, fallthrough edge to body. */
gcc_assert (EDGE_COUNT (entry_bb->succs) == 2
&& BRANCH_EDGE (entry_bb)->dest == exit_bb);
/* If cont_bb non-NULL, it has 2 successors. The branch successor is
body_bb, or to a block whose only successor is the body_bb. Its
fallthrough successor is the final block (same as the branch
successor of the entry_bb). */
if (cont_bb)
{
basic_block body_bb = FALLTHRU_EDGE (entry_bb)->dest;
basic_block bed = BRANCH_EDGE (cont_bb)->dest;
gcc_assert (FALLTHRU_EDGE (cont_bb)->dest == exit_bb);
gcc_assert (bed == body_bb || single_succ_edge (bed)->dest == body_bb);
}
else
gcc_assert (!gimple_in_ssa_p (cfun));
/* The exit block only has entry_bb and cont_bb as predecessors. */
gcc_assert (EDGE_COUNT (exit_bb->preds) == 1 + (cont_bb != NULL));
tree chunk_no;
tree chunk_max = NULL_TREE;
tree bound, offset;
tree step = create_tmp_var (diff_type, ".step");
bool up = cond_code == LT_EXPR;
tree dir = build_int_cst (diff_type, up ? +1 : -1);
bool chunking = !gimple_in_ssa_p (cfun);
bool negating;
/* Tiling vars. */
tree tile_size = NULL_TREE;
tree element_s = NULL_TREE;
tree e_bound = NULL_TREE, e_offset = NULL_TREE, e_step = NULL_TREE;
basic_block elem_body_bb = NULL;
basic_block elem_cont_bb = NULL;
/* SSA instances. */
tree offset_incr = NULL_TREE;
tree offset_init = NULL_TREE;
gimple_stmt_iterator gsi;
gassign *ass;
gcall *call;
gimple *stmt;
tree expr;
location_t loc;
edge split, be, fte;
/* Split the end of entry_bb to create head_bb. */
split = split_block (entry_bb, last_stmt (entry_bb));
basic_block head_bb = split->dest;
entry_bb = split->src;
/* Chunk setup goes at end of entry_bb, replacing the omp_for. */
gsi = gsi_last_nondebug_bb (entry_bb);
gomp_for *for_stmt = as_a <gomp_for *> (gsi_stmt (gsi));
loc = gimple_location (for_stmt);
if (gimple_in_ssa_p (cfun))
{
offset_init = gimple_omp_for_index (for_stmt, 0);
gcc_assert (integer_zerop (fd->loop.n1));
/* The SSA parallelizer does gang parallelism. */
gwv = build_int_cst (integer_type_node, GOMP_DIM_MASK (GOMP_DIM_GANG));
}
if (fd->collapse > 1 || fd->tiling)
{
gcc_assert (!gimple_in_ssa_p (cfun) && up);
counts = XALLOCAVEC (struct oacc_collapse, fd->collapse);
tree total = expand_oacc_collapse_init (fd, &gsi, counts,
TREE_TYPE (fd->loop.n2), loc);
if (SSA_VAR_P (fd->loop.n2))
{
total = force_gimple_operand_gsi (&gsi, total, false, NULL_TREE,
true, GSI_SAME_STMT);
ass = gimple_build_assign (fd->loop.n2, total);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
}
}
tree b = fd->loop.n1;
tree e = fd->loop.n2;
tree s = fd->loop.step;
b = force_gimple_operand_gsi (&gsi, b, true, NULL_TREE, true, GSI_SAME_STMT);
e = force_gimple_operand_gsi (&gsi, e, true, NULL_TREE, true, GSI_SAME_STMT);
/* Convert the step, avoiding possible unsigned->signed overflow. */
negating = !up && TYPE_UNSIGNED (TREE_TYPE (s));
if (negating)
s = fold_build1 (NEGATE_EXPR, TREE_TYPE (s), s);
s = fold_convert (diff_type, s);
if (negating)
s = fold_build1 (NEGATE_EXPR, diff_type, s);
s = force_gimple_operand_gsi (&gsi, s, true, NULL_TREE, true, GSI_SAME_STMT);
if (!chunking)
chunk_size = integer_zero_node;
expr = fold_convert (diff_type, chunk_size);
chunk_size = force_gimple_operand_gsi (&gsi, expr, true,
NULL_TREE, true, GSI_SAME_STMT);
if (fd->tiling)
{
/* Determine the tile size and element step,
modify the outer loop step size. */
tile_size = create_tmp_var (diff_type, ".tile_size");
expr = build_int_cst (diff_type, 1);
for (int ix = 0; ix < fd->collapse; ix++)
expr = fold_build2 (MULT_EXPR, diff_type, counts[ix].tile, expr);
expr = force_gimple_operand_gsi (&gsi, expr, true,
NULL_TREE, true, GSI_SAME_STMT);
ass = gimple_build_assign (tile_size, expr);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
element_s = create_tmp_var (diff_type, ".element_s");
ass = gimple_build_assign (element_s, s);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
expr = fold_build2 (MULT_EXPR, diff_type, s, tile_size);
s = force_gimple_operand_gsi (&gsi, expr, true,
NULL_TREE, true, GSI_SAME_STMT);
}
/* Determine the range, avoiding possible unsigned->signed overflow. */
negating = !up && TYPE_UNSIGNED (iter_type);
expr = fold_build2 (MINUS_EXPR, plus_type,
fold_convert (plus_type, negating ? b : e),
fold_convert (plus_type, negating ? e : b));
expr = fold_convert (diff_type, expr);
if (negating)
expr = fold_build1 (NEGATE_EXPR, diff_type, expr);
tree range = force_gimple_operand_gsi (&gsi, expr, true,
NULL_TREE, true, GSI_SAME_STMT);
chunk_no = build_int_cst (diff_type, 0);
if (chunking)
{
gcc_assert (!gimple_in_ssa_p (cfun));
expr = chunk_no;
chunk_max = create_tmp_var (diff_type, ".chunk_max");
chunk_no = create_tmp_var (diff_type, ".chunk_no");
ass = gimple_build_assign (chunk_no, expr);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
call = gimple_build_call_internal (IFN_GOACC_LOOP, 6,
build_int_cst (integer_type_node,
IFN_GOACC_LOOP_CHUNKS),
dir, range, s, chunk_size, gwv);
gimple_call_set_lhs (call, chunk_max);
gimple_set_location (call, loc);
gsi_insert_before (&gsi, call, GSI_SAME_STMT);
}
else
chunk_size = chunk_no;
call = gimple_build_call_internal (IFN_GOACC_LOOP, 6,
build_int_cst (integer_type_node,
IFN_GOACC_LOOP_STEP),
dir, range, s, chunk_size, gwv);
gimple_call_set_lhs (call, step);
gimple_set_location (call, loc);
gsi_insert_before (&gsi, call, GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_FOR. */
gsi_remove (&gsi, true);
/* Fixup edges from head_bb. */
be = BRANCH_EDGE (head_bb);
fte = FALLTHRU_EDGE (head_bb);
be->flags |= EDGE_FALSE_VALUE;
fte->flags ^= EDGE_FALLTHRU | EDGE_TRUE_VALUE;
basic_block body_bb = fte->dest;
if (gimple_in_ssa_p (cfun))
{
gsi = gsi_last_nondebug_bb (cont_bb);
gomp_continue *cont_stmt = as_a <gomp_continue *> (gsi_stmt (gsi));
offset = gimple_omp_continue_control_use (cont_stmt);
offset_incr = gimple_omp_continue_control_def (cont_stmt);
}
else
{
offset = create_tmp_var (diff_type, ".offset");
offset_init = offset_incr = offset;
}
bound = create_tmp_var (TREE_TYPE (offset), ".bound");
/* Loop offset & bound go into head_bb. */
gsi = gsi_start_bb (head_bb);
call = gimple_build_call_internal (IFN_GOACC_LOOP, 7,
build_int_cst (integer_type_node,
IFN_GOACC_LOOP_OFFSET),
dir, range, s,
chunk_size, gwv, chunk_no);
gimple_call_set_lhs (call, offset_init);
gimple_set_location (call, loc);
gsi_insert_after (&gsi, call, GSI_CONTINUE_LINKING);
call = gimple_build_call_internal (IFN_GOACC_LOOP, 7,
build_int_cst (integer_type_node,
IFN_GOACC_LOOP_BOUND),
dir, range, s,
chunk_size, gwv, offset_init);
gimple_call_set_lhs (call, bound);
gimple_set_location (call, loc);
gsi_insert_after (&gsi, call, GSI_CONTINUE_LINKING);
expr = build2 (cond_code, boolean_type_node, offset_init, bound);
gsi_insert_after (&gsi, gimple_build_cond_empty (expr),
GSI_CONTINUE_LINKING);
/* V assignment goes into body_bb. */
if (!gimple_in_ssa_p (cfun))
{
gsi = gsi_start_bb (body_bb);
expr = build2 (plus_code, iter_type, b,
fold_convert (plus_type, offset));
expr = force_gimple_operand_gsi (&gsi, expr, false, NULL_TREE,
true, GSI_SAME_STMT);
ass = gimple_build_assign (v, expr);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
if (fd->collapse > 1 || fd->tiling)
expand_oacc_collapse_vars (fd, false, &gsi, counts, v);
if (fd->tiling)
{
/* Determine the range of the element loop -- usually simply
the tile_size, but could be smaller if the final
iteration of the outer loop is a partial tile. */
tree e_range = create_tmp_var (diff_type, ".e_range");
expr = build2 (MIN_EXPR, diff_type,
build2 (MINUS_EXPR, diff_type, bound, offset),
build2 (MULT_EXPR, diff_type, tile_size,
element_s));
expr = force_gimple_operand_gsi (&gsi, expr, false, NULL_TREE,
true, GSI_SAME_STMT);
ass = gimple_build_assign (e_range, expr);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
/* Determine bound, offset & step of inner loop. */
e_bound = create_tmp_var (diff_type, ".e_bound");
e_offset = create_tmp_var (diff_type, ".e_offset");
e_step = create_tmp_var (diff_type, ".e_step");
/* Mark these as element loops. */
tree t, e_gwv = integer_minus_one_node;
tree chunk = build_int_cst (diff_type, 0); /* Never chunked. */
t = build_int_cst (integer_type_node, IFN_GOACC_LOOP_OFFSET);
call = gimple_build_call_internal (IFN_GOACC_LOOP, 7, t, dir, e_range,
element_s, chunk, e_gwv, chunk);
gimple_call_set_lhs (call, e_offset);
gimple_set_location (call, loc);
gsi_insert_before (&gsi, call, GSI_SAME_STMT);
t = build_int_cst (integer_type_node, IFN_GOACC_LOOP_BOUND);
call = gimple_build_call_internal (IFN_GOACC_LOOP, 7, t, dir, e_range,
element_s, chunk, e_gwv, e_offset);
gimple_call_set_lhs (call, e_bound);
gimple_set_location (call, loc);
gsi_insert_before (&gsi, call, GSI_SAME_STMT);
t = build_int_cst (integer_type_node, IFN_GOACC_LOOP_STEP);
call = gimple_build_call_internal (IFN_GOACC_LOOP, 6, t, dir, e_range,
element_s, chunk, e_gwv);
gimple_call_set_lhs (call, e_step);
gimple_set_location (call, loc);
gsi_insert_before (&gsi, call, GSI_SAME_STMT);
/* Add test and split block. */
expr = build2 (cond_code, boolean_type_node, e_offset, e_bound);
stmt = gimple_build_cond_empty (expr);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
split = split_block (body_bb, stmt);
elem_body_bb = split->dest;
if (cont_bb == body_bb)
cont_bb = elem_body_bb;
body_bb = split->src;
split->flags ^= EDGE_FALLTHRU | EDGE_TRUE_VALUE;
/* Add a dummy exit for the tiled block when cont_bb is missing. */
if (cont_bb == NULL)
{
edge e = make_edge (body_bb, exit_bb, EDGE_FALSE_VALUE);
e->probability = profile_probability::even ();
split->probability = profile_probability::even ();
}
/* Initialize the user's loop vars. */
gsi = gsi_start_bb (elem_body_bb);
expand_oacc_collapse_vars (fd, true, &gsi, counts, e_offset);
}
}
/* Loop increment goes into cont_bb. If this is not a loop, we
will have spawned threads as if it was, and each one will
execute one iteration. The specification is not explicit about
whether such constructs are ill-formed or not, and they can
occur, especially when noreturn routines are involved. */
if (cont_bb)
{
gsi = gsi_last_nondebug_bb (cont_bb);
gomp_continue *cont_stmt = as_a <gomp_continue *> (gsi_stmt (gsi));
loc = gimple_location (cont_stmt);
if (fd->tiling)
{
/* Insert element loop increment and test. */
expr = build2 (PLUS_EXPR, diff_type, e_offset, e_step);
expr = force_gimple_operand_gsi (&gsi, expr, false, NULL_TREE,
true, GSI_SAME_STMT);
ass = gimple_build_assign (e_offset, expr);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
expr = build2 (cond_code, boolean_type_node, e_offset, e_bound);
stmt = gimple_build_cond_empty (expr);
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
split = split_block (cont_bb, stmt);
elem_cont_bb = split->src;
cont_bb = split->dest;
split->flags ^= EDGE_FALLTHRU | EDGE_FALSE_VALUE;
split->probability = profile_probability::unlikely ().guessed ();
edge latch_edge
= make_edge (elem_cont_bb, elem_body_bb, EDGE_TRUE_VALUE);
latch_edge->probability = profile_probability::likely ().guessed ();
edge skip_edge = make_edge (body_bb, cont_bb, EDGE_FALSE_VALUE);
skip_edge->probability = profile_probability::unlikely ().guessed ();
edge loop_entry_edge = EDGE_SUCC (body_bb, 1 - skip_edge->dest_idx);
loop_entry_edge->probability
= profile_probability::likely ().guessed ();
gsi = gsi_for_stmt (cont_stmt);
}
/* Increment offset. */
if (gimple_in_ssa_p (cfun))
expr = build2 (plus_code, iter_type, offset,
fold_convert (plus_type, step));
else
expr = build2 (PLUS_EXPR, diff_type, offset, step);
expr = force_gimple_operand_gsi (&gsi, expr, false, NULL_TREE,
true, GSI_SAME_STMT);
ass = gimple_build_assign (offset_incr, expr);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
expr = build2 (cond_code, boolean_type_node, offset_incr, bound);
gsi_insert_before (&gsi, gimple_build_cond_empty (expr), GSI_SAME_STMT);
/* Remove the GIMPLE_OMP_CONTINUE. */
gsi_remove (&gsi, true);
/* Fixup edges from cont_bb. */
be = BRANCH_EDGE (cont_bb);
fte = FALLTHRU_EDGE (cont_bb);
be->flags |= EDGE_TRUE_VALUE;
fte->flags ^= EDGE_FALLTHRU | EDGE_FALSE_VALUE;
if (chunking)
{
/* Split the beginning of exit_bb to make bottom_bb. We
need to insert a nop at the start, because splitting is
after a stmt, not before. */
gsi = gsi_start_bb (exit_bb);
stmt = gimple_build_nop ();
gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
split = split_block (exit_bb, stmt);
bottom_bb = split->src;
exit_bb = split->dest;
gsi = gsi_last_bb (bottom_bb);
/* Chunk increment and test goes into bottom_bb. */
expr = build2 (PLUS_EXPR, diff_type, chunk_no,
build_int_cst (diff_type, 1));
ass = gimple_build_assign (chunk_no, expr);
gsi_insert_after (&gsi, ass, GSI_CONTINUE_LINKING);
/* Chunk test at end of bottom_bb. */
expr = build2 (LT_EXPR, boolean_type_node, chunk_no, chunk_max);
gsi_insert_after (&gsi, gimple_build_cond_empty (expr),
GSI_CONTINUE_LINKING);
/* Fixup edges from bottom_bb. */
split->flags ^= EDGE_FALLTHRU | EDGE_FALSE_VALUE;
split->probability = profile_probability::unlikely ().guessed ();
edge latch_edge = make_edge (bottom_bb, head_bb, EDGE_TRUE_VALUE);
latch_edge->probability = profile_probability::likely ().guessed ();
}
}
gsi = gsi_last_nondebug_bb (exit_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
loc = gimple_location (gsi_stmt (gsi));
if (!gimple_in_ssa_p (cfun))
{
/* Insert the final value of V, in case it is live. This is the
value for the only thread that survives past the join. */
expr = fold_build2 (MINUS_EXPR, diff_type, range, dir);
expr = fold_build2 (PLUS_EXPR, diff_type, expr, s);
expr = fold_build2 (TRUNC_DIV_EXPR, diff_type, expr, s);
expr = fold_build2 (MULT_EXPR, diff_type, expr, s);
expr = build2 (plus_code, iter_type, b, fold_convert (plus_type, expr));
expr = force_gimple_operand_gsi (&gsi, expr, false, NULL_TREE,
true, GSI_SAME_STMT);
ass = gimple_build_assign (v, expr);
gsi_insert_before (&gsi, ass, GSI_SAME_STMT);
}
/* Remove the OMP_RETURN. */
gsi_remove (&gsi, true);
if (cont_bb)
{
/* We now have one, two or three nested loops. Update the loop
structures. */
struct loop *parent = entry_bb->loop_father;
struct loop *body = body_bb->loop_father;
if (chunking)
{
struct loop *chunk_loop = alloc_loop ();
chunk_loop->header = head_bb;
chunk_loop->latch = bottom_bb;
add_loop (chunk_loop, parent);
parent = chunk_loop;
}
else if (parent != body)
{
gcc_assert (body->header == body_bb);
gcc_assert (body->latch == cont_bb
|| single_pred (body->latch) == cont_bb);
parent = NULL;
}
if (parent)
{
struct loop *body_loop = alloc_loop ();
body_loop->header = body_bb;
body_loop->latch = cont_bb;
add_loop (body_loop, parent);
if (fd->tiling)
{
/* Insert tiling's element loop. */
struct loop *inner_loop = alloc_loop ();
inner_loop->header = elem_body_bb;
inner_loop->latch = elem_cont_bb;
add_loop (inner_loop, body_loop);
}
}
}
}
/* Expand the OMP loop defined by REGION. */
static void
expand_omp_for (struct omp_region *region, gimple *inner_stmt)
{
struct omp_for_data fd;
struct omp_for_data_loop *loops;
loops
= (struct omp_for_data_loop *)
alloca (gimple_omp_for_collapse (last_stmt (region->entry))
* sizeof (struct omp_for_data_loop));
omp_extract_for_data (as_a <gomp_for *> (last_stmt (region->entry)),
&fd, loops);
region->sched_kind = fd.sched_kind;
region->sched_modifiers = fd.sched_modifiers;
gcc_assert (EDGE_COUNT (region->entry->succs) == 2);
BRANCH_EDGE (region->entry)->flags &= ~EDGE_ABNORMAL;
FALLTHRU_EDGE (region->entry)->flags &= ~EDGE_ABNORMAL;
if (region->cont)
{
gcc_assert (EDGE_COUNT (region->cont->succs) == 2);
BRANCH_EDGE (region->cont)->flags &= ~EDGE_ABNORMAL;
FALLTHRU_EDGE (region->cont)->flags &= ~EDGE_ABNORMAL;
}
else
/* If there isn't a continue then this is a degerate case where
the introduction of abnormal edges during lowering will prevent
original loops from being detected. Fix that up. */
loops_state_set (LOOPS_NEED_FIXUP);
if (gimple_omp_for_kind (fd.for_stmt) & GF_OMP_FOR_SIMD)
expand_omp_simd (region, &fd);
else if (gimple_omp_for_kind (fd.for_stmt) == GF_OMP_FOR_KIND_OACC_LOOP)
{
gcc_assert (!inner_stmt);
expand_oacc_for (region, &fd);
}
else if (gimple_omp_for_kind (fd.for_stmt) == GF_OMP_FOR_KIND_TASKLOOP)
{
if (gimple_omp_for_combined_into_p (fd.for_stmt))
expand_omp_taskloop_for_inner (region, &fd, inner_stmt);
else
expand_omp_taskloop_for_outer (region, &fd, inner_stmt);
}
else if (fd.sched_kind == OMP_CLAUSE_SCHEDULE_STATIC
&& !fd.have_ordered)
{
if (fd.chunk_size == NULL)
expand_omp_for_static_nochunk (region, &fd, inner_stmt);
else
expand_omp_for_static_chunk (region, &fd, inner_stmt);
}
else
{
int fn_index, start_ix, next_ix;
gcc_assert (gimple_omp_for_kind (fd.for_stmt)
== GF_OMP_FOR_KIND_FOR);
if (fd.chunk_size == NULL
&& fd.sched_kind == OMP_CLAUSE_SCHEDULE_STATIC)
fd.chunk_size = integer_zero_node;
gcc_assert (fd.sched_kind != OMP_CLAUSE_SCHEDULE_AUTO);
switch (fd.sched_kind)
{
case OMP_CLAUSE_SCHEDULE_RUNTIME:
fn_index = 3;
break;
case OMP_CLAUSE_SCHEDULE_DYNAMIC:
case OMP_CLAUSE_SCHEDULE_GUIDED:
if ((fd.sched_modifiers & OMP_CLAUSE_SCHEDULE_NONMONOTONIC)
&& !fd.ordered
&& !fd.have_ordered)
{
fn_index = 3 + fd.sched_kind;
break;
}
/* FALLTHRU */
default:
fn_index = fd.sched_kind;
break;
}
if (!fd.ordered)
fn_index += fd.have_ordered * 6;
if (fd.ordered)
start_ix = ((int)BUILT_IN_GOMP_LOOP_DOACROSS_STATIC_START) + fn_index;
else
start_ix = ((int)BUILT_IN_GOMP_LOOP_STATIC_START) + fn_index;
next_ix = ((int)BUILT_IN_GOMP_LOOP_STATIC_NEXT) + fn_index;
if (fd.iter_type == long_long_unsigned_type_node)
{
start_ix += ((int)BUILT_IN_GOMP_LOOP_ULL_STATIC_START
- (int)BUILT_IN_GOMP_LOOP_STATIC_START);
next_ix += ((int)BUILT_IN_GOMP_LOOP_ULL_STATIC_NEXT
- (int)BUILT_IN_GOMP_LOOP_STATIC_NEXT);
}
expand_omp_for_generic (region, &fd, (enum built_in_function) start_ix,
(enum built_in_function) next_ix, inner_stmt);
}
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_only_virtuals);
}
/* Expand code for an OpenMP sections directive. In pseudo code, we generate
v = GOMP_sections_start (n);
L0:
switch (v)
{
case 0:
goto L2;
case 1:
section 1;
goto L1;
case 2:
...
case n:
...
default:
abort ();
}
L1:
v = GOMP_sections_next ();
goto L0;
L2:
reduction;
If this is a combined parallel sections, replace the call to
GOMP_sections_start with call to GOMP_sections_next. */
static void
expand_omp_sections (struct omp_region *region)
{
tree t, u, vin = NULL, vmain, vnext, l2;
unsigned len;
basic_block entry_bb, l0_bb, l1_bb, l2_bb, default_bb;
gimple_stmt_iterator si, switch_si;
gomp_sections *sections_stmt;
gimple *stmt;
gomp_continue *cont;
edge_iterator ei;
edge e;
struct omp_region *inner;
unsigned i, casei;
bool exit_reachable = region->cont != NULL;
gcc_assert (region->exit != NULL);
entry_bb = region->entry;
l0_bb = single_succ (entry_bb);
l1_bb = region->cont;
l2_bb = region->exit;
if (single_pred_p (l2_bb) && single_pred (l2_bb) == l0_bb)
l2 = gimple_block_label (l2_bb);
else
{
/* This can happen if there are reductions. */
len = EDGE_COUNT (l0_bb->succs);
gcc_assert (len > 0);
e = EDGE_SUCC (l0_bb, len - 1);
si = gsi_last_nondebug_bb (e->dest);
l2 = NULL_TREE;
if (gsi_end_p (si)
|| gimple_code (gsi_stmt (si)) != GIMPLE_OMP_SECTION)
l2 = gimple_block_label (e->dest);
else
FOR_EACH_EDGE (e, ei, l0_bb->succs)
{
si = gsi_last_nondebug_bb (e->dest);
if (gsi_end_p (si)
|| gimple_code (gsi_stmt (si)) != GIMPLE_OMP_SECTION)
{
l2 = gimple_block_label (e->dest);
break;
}
}
}
if (exit_reachable)
default_bb = create_empty_bb (l1_bb->prev_bb);
else
default_bb = create_empty_bb (l0_bb);
/* We will build a switch() with enough cases for all the
GIMPLE_OMP_SECTION regions, a '0' case to handle the end of more work
and a default case to abort if something goes wrong. */
len = EDGE_COUNT (l0_bb->succs);
/* Use vec::quick_push on label_vec throughout, since we know the size
in advance. */
auto_vec<tree> label_vec (len);
/* The call to GOMP_sections_start goes in ENTRY_BB, replacing the
GIMPLE_OMP_SECTIONS statement. */
si = gsi_last_nondebug_bb (entry_bb);
sections_stmt = as_a <gomp_sections *> (gsi_stmt (si));
gcc_assert (gimple_code (sections_stmt) == GIMPLE_OMP_SECTIONS);
vin = gimple_omp_sections_control (sections_stmt);
if (!is_combined_parallel (region))
{
/* If we are not inside a combined parallel+sections region,
call GOMP_sections_start. */
t = build_int_cst (unsigned_type_node, len - 1);
u = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_START);
stmt = gimple_build_call (u, 1, t);
}
else
{
/* Otherwise, call GOMP_sections_next. */
u = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_NEXT);
stmt = gimple_build_call (u, 0);
}
gimple_call_set_lhs (stmt, vin);
gsi_insert_after (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
/* The switch() statement replacing GIMPLE_OMP_SECTIONS_SWITCH goes in
L0_BB. */
switch_si = gsi_last_nondebug_bb (l0_bb);
gcc_assert (gimple_code (gsi_stmt (switch_si)) == GIMPLE_OMP_SECTIONS_SWITCH);
if (exit_reachable)
{
cont = as_a <gomp_continue *> (last_stmt (l1_bb));
gcc_assert (gimple_code (cont) == GIMPLE_OMP_CONTINUE);
vmain = gimple_omp_continue_control_use (cont);
vnext = gimple_omp_continue_control_def (cont);
}
else
{
vmain = vin;
vnext = NULL_TREE;
}
t = build_case_label (build_int_cst (unsigned_type_node, 0), NULL, l2);
label_vec.quick_push (t);
i = 1;
/* Convert each GIMPLE_OMP_SECTION into a CASE_LABEL_EXPR. */
for (inner = region->inner, casei = 1;
inner;
inner = inner->next, i++, casei++)
{
basic_block s_entry_bb, s_exit_bb;
/* Skip optional reduction region. */
if (inner->type == GIMPLE_OMP_ATOMIC_LOAD)
{
--i;
--casei;
continue;
}
s_entry_bb = inner->entry;
s_exit_bb = inner->exit;
t = gimple_block_label (s_entry_bb);
u = build_int_cst (unsigned_type_node, casei);
u = build_case_label (u, NULL, t);
label_vec.quick_push (u);
si = gsi_last_nondebug_bb (s_entry_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_SECTION);
gcc_assert (i < len || gimple_omp_section_last_p (gsi_stmt (si)));
gsi_remove (&si, true);
single_succ_edge (s_entry_bb)->flags = EDGE_FALLTHRU;
if (s_exit_bb == NULL)
continue;
si = gsi_last_nondebug_bb (s_exit_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_RETURN);
gsi_remove (&si, true);
single_succ_edge (s_exit_bb)->flags = EDGE_FALLTHRU;
}
/* Error handling code goes in DEFAULT_BB. */
t = gimple_block_label (default_bb);
u = build_case_label (NULL, NULL, t);
make_edge (l0_bb, default_bb, 0);
add_bb_to_loop (default_bb, current_loops->tree_root);
stmt = gimple_build_switch (vmain, u, label_vec);
gsi_insert_after (&switch_si, stmt, GSI_SAME_STMT);
gsi_remove (&switch_si, true);
si = gsi_start_bb (default_bb);
stmt = gimple_build_call (builtin_decl_explicit (BUILT_IN_TRAP), 0);
gsi_insert_after (&si, stmt, GSI_CONTINUE_LINKING);
if (exit_reachable)
{
tree bfn_decl;
/* Code to get the next section goes in L1_BB. */
si = gsi_last_nondebug_bb (l1_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_CONTINUE);
bfn_decl = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_NEXT);
stmt = gimple_build_call (bfn_decl, 0);
gimple_call_set_lhs (stmt, vnext);
gsi_insert_after (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
single_succ_edge (l1_bb)->flags = EDGE_FALLTHRU;
}
/* Cleanup function replaces GIMPLE_OMP_RETURN in EXIT_BB. */
si = gsi_last_nondebug_bb (l2_bb);
if (gimple_omp_return_nowait_p (gsi_stmt (si)))
t = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_END_NOWAIT);
else if (gimple_omp_return_lhs (gsi_stmt (si)))
t = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_END_CANCEL);
else
t = builtin_decl_explicit (BUILT_IN_GOMP_SECTIONS_END);
stmt = gimple_build_call (t, 0);
if (gimple_omp_return_lhs (gsi_stmt (si)))
gimple_call_set_lhs (stmt, gimple_omp_return_lhs (gsi_stmt (si)));
gsi_insert_after (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
set_immediate_dominator (CDI_DOMINATORS, default_bb, l0_bb);
}
/* Expand code for an OpenMP single directive. We've already expanded
much of the code, here we simply place the GOMP_barrier call. */
static void
expand_omp_single (struct omp_region *region)
{
basic_block entry_bb, exit_bb;
gimple_stmt_iterator si;
entry_bb = region->entry;
exit_bb = region->exit;
si = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_SINGLE);
gsi_remove (&si, true);
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
si = gsi_last_nondebug_bb (exit_bb);
if (!gimple_omp_return_nowait_p (gsi_stmt (si)))
{
tree t = gimple_omp_return_lhs (gsi_stmt (si));
gsi_insert_after (&si, omp_build_barrier (t), GSI_SAME_STMT);
}
gsi_remove (&si, true);
single_succ_edge (exit_bb)->flags = EDGE_FALLTHRU;
}
/* Generic expansion for OpenMP synchronization directives: master,
ordered and critical. All we need to do here is remove the entry
and exit markers for REGION. */
static void
expand_omp_synch (struct omp_region *region)
{
basic_block entry_bb, exit_bb;
gimple_stmt_iterator si;
entry_bb = region->entry;
exit_bb = region->exit;
si = gsi_last_nondebug_bb (entry_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_SINGLE
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_MASTER
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_TASKGROUP
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ORDERED
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_CRITICAL
|| gimple_code (gsi_stmt (si)) == GIMPLE_OMP_TEAMS);
gsi_remove (&si, true);
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
if (exit_bb)
{
si = gsi_last_nondebug_bb (exit_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_RETURN);
gsi_remove (&si, true);
single_succ_edge (exit_bb)->flags = EDGE_FALLTHRU;
}
}
/* A subroutine of expand_omp_atomic. Attempt to implement the atomic
operation as a normal volatile load. */
static bool
expand_omp_atomic_load (basic_block load_bb, tree addr,
tree loaded_val, int index)
{
enum built_in_function tmpbase;
gimple_stmt_iterator gsi;
basic_block store_bb;
location_t loc;
gimple *stmt;
tree decl, call, type, itype;
gsi = gsi_last_nondebug_bb (load_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_ATOMIC_LOAD);
loc = gimple_location (stmt);
/* ??? If the target does not implement atomic_load_optab[mode], and mode
is smaller than word size, then expand_atomic_load assumes that the load
is atomic. We could avoid the builtin entirely in this case. */
tmpbase = (enum built_in_function) (BUILT_IN_ATOMIC_LOAD_N + index + 1);
decl = builtin_decl_explicit (tmpbase);
if (decl == NULL_TREE)
return false;
type = TREE_TYPE (loaded_val);
itype = TREE_TYPE (TREE_TYPE (decl));
call = build_call_expr_loc (loc, decl, 2, addr,
build_int_cst (NULL,
gimple_omp_atomic_seq_cst_p (stmt)
? MEMMODEL_SEQ_CST
: MEMMODEL_RELAXED));
if (!useless_type_conversion_p (type, itype))
call = fold_build1_loc (loc, VIEW_CONVERT_EXPR, type, call);
call = build2_loc (loc, MODIFY_EXPR, void_type_node, loaded_val, call);
force_gimple_operand_gsi (&gsi, call, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&gsi, true);
store_bb = single_succ (load_bb);
gsi = gsi_last_nondebug_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_ATOMIC_STORE);
gsi_remove (&gsi, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* A subroutine of expand_omp_atomic. Attempt to implement the atomic
operation as a normal volatile store. */
static bool
expand_omp_atomic_store (basic_block load_bb, tree addr,
tree loaded_val, tree stored_val, int index)
{
enum built_in_function tmpbase;
gimple_stmt_iterator gsi;
basic_block store_bb = single_succ (load_bb);
location_t loc;
gimple *stmt;
tree decl, call, type, itype;
machine_mode imode;
bool exchange;
gsi = gsi_last_nondebug_bb (load_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_ATOMIC_LOAD);
/* If the load value is needed, then this isn't a store but an exchange. */
exchange = gimple_omp_atomic_need_value_p (stmt);
gsi = gsi_last_nondebug_bb (store_bb);
stmt = gsi_stmt (gsi);
gcc_assert (gimple_code (stmt) == GIMPLE_OMP_ATOMIC_STORE);
loc = gimple_location (stmt);
/* ??? If the target does not implement atomic_store_optab[mode], and mode
is smaller than word size, then expand_atomic_store assumes that the store
is atomic. We could avoid the builtin entirely in this case. */
tmpbase = (exchange ? BUILT_IN_ATOMIC_EXCHANGE_N : BUILT_IN_ATOMIC_STORE_N);
tmpbase = (enum built_in_function) ((int) tmpbase + index + 1);
decl = builtin_decl_explicit (tmpbase);
if (decl == NULL_TREE)
return false;
type = TREE_TYPE (stored_val);
/* Dig out the type of the function's second argument. */
itype = TREE_TYPE (decl);
itype = TYPE_ARG_TYPES (itype);
itype = TREE_CHAIN (itype);
itype = TREE_VALUE (itype);
imode = TYPE_MODE (itype);
if (exchange && !can_atomic_exchange_p (imode, true))
return false;
if (!useless_type_conversion_p (itype, type))
stored_val = fold_build1_loc (loc, VIEW_CONVERT_EXPR, itype, stored_val);
call = build_call_expr_loc (loc, decl, 3, addr, stored_val,
build_int_cst (NULL,
gimple_omp_atomic_seq_cst_p (stmt)
? MEMMODEL_SEQ_CST
: MEMMODEL_RELAXED));
if (exchange)
{
if (!useless_type_conversion_p (type, itype))
call = build1_loc (loc, VIEW_CONVERT_EXPR, type, call);
call = build2_loc (loc, MODIFY_EXPR, void_type_node, loaded_val, call);
}
force_gimple_operand_gsi (&gsi, call, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&gsi, true);
/* Remove the GIMPLE_OMP_ATOMIC_LOAD that we verified above. */
gsi = gsi_last_nondebug_bb (load_bb);
gsi_remove (&gsi, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* A subroutine of expand_omp_atomic. Attempt to implement the atomic
operation as a __atomic_fetch_op builtin. INDEX is log2 of the
size of the data type, and thus usable to find the index of the builtin
decl. Returns false if the expression is not of the proper form. */
static bool
expand_omp_atomic_fetch_op (basic_block load_bb,
tree addr, tree loaded_val,
tree stored_val, int index)
{
enum built_in_function oldbase, newbase, tmpbase;
tree decl, itype, call;
tree lhs, rhs;
basic_block store_bb = single_succ (load_bb);
gimple_stmt_iterator gsi;
gimple *stmt;
location_t loc;
enum tree_code code;
bool need_old, need_new;
machine_mode imode;
bool seq_cst;
/* We expect to find the following sequences:
load_bb:
GIMPLE_OMP_ATOMIC_LOAD (tmp, mem)
store_bb:
val = tmp OP something; (or: something OP tmp)
GIMPLE_OMP_STORE (val)
???FIXME: Allow a more flexible sequence.
Perhaps use data flow to pick the statements.
*/
gsi = gsi_after_labels (store_bb);
stmt = gsi_stmt (gsi);
if (is_gimple_debug (stmt))
{
gsi_next_nondebug (&gsi);
if (gsi_end_p (gsi))
return false;
stmt = gsi_stmt (gsi);
}
loc = gimple_location (stmt);
if (!is_gimple_assign (stmt))
return false;
gsi_next_nondebug (&gsi);
if (gimple_code (gsi_stmt (gsi)) != GIMPLE_OMP_ATOMIC_STORE)
return false;
need_new = gimple_omp_atomic_need_value_p (gsi_stmt (gsi));
need_old = gimple_omp_atomic_need_value_p (last_stmt (load_bb));
seq_cst = gimple_omp_atomic_seq_cst_p (last_stmt (load_bb));
gcc_checking_assert (!need_old || !need_new);
if (!operand_equal_p (gimple_assign_lhs (stmt), stored_val, 0))
return false;
/* Check for one of the supported fetch-op operations. */
code = gimple_assign_rhs_code (stmt);
switch (code)
{
case PLUS_EXPR:
case POINTER_PLUS_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_ADD_N;
newbase = BUILT_IN_ATOMIC_ADD_FETCH_N;
break;
case MINUS_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_SUB_N;
newbase = BUILT_IN_ATOMIC_SUB_FETCH_N;
break;
case BIT_AND_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_AND_N;
newbase = BUILT_IN_ATOMIC_AND_FETCH_N;
break;
case BIT_IOR_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_OR_N;
newbase = BUILT_IN_ATOMIC_OR_FETCH_N;
break;
case BIT_XOR_EXPR:
oldbase = BUILT_IN_ATOMIC_FETCH_XOR_N;
newbase = BUILT_IN_ATOMIC_XOR_FETCH_N;
break;
default:
return false;
}
/* Make sure the expression is of the proper form. */
if (operand_equal_p (gimple_assign_rhs1 (stmt), loaded_val, 0))
rhs = gimple_assign_rhs2 (stmt);
else if (commutative_tree_code (gimple_assign_rhs_code (stmt))
&& operand_equal_p (gimple_assign_rhs2 (stmt), loaded_val, 0))
rhs = gimple_assign_rhs1 (stmt);
else
return false;
tmpbase = ((enum built_in_function)
((need_new ? newbase : oldbase) + index + 1));
decl = builtin_decl_explicit (tmpbase);
if (decl == NULL_TREE)
return false;
itype = TREE_TYPE (TREE_TYPE (decl));
imode = TYPE_MODE (itype);
/* We could test all of the various optabs involved, but the fact of the
matter is that (with the exception of i486 vs i586 and xadd) all targets
that support any atomic operaton optab also implements compare-and-swap.
Let optabs.c take care of expanding any compare-and-swap loop. */
if (!can_compare_and_swap_p (imode, true) || !can_atomic_load_p (imode))
return false;
gsi = gsi_last_nondebug_bb (load_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_ATOMIC_LOAD);
/* OpenMP does not imply any barrier-like semantics on its atomic ops.
It only requires that the operation happen atomically. Thus we can
use the RELAXED memory model. */
call = build_call_expr_loc (loc, decl, 3, addr,
fold_convert_loc (loc, itype, rhs),
build_int_cst (NULL,
seq_cst ? MEMMODEL_SEQ_CST
: MEMMODEL_RELAXED));
if (need_old || need_new)
{
lhs = need_old ? loaded_val : stored_val;
call = fold_convert_loc (loc, TREE_TYPE (lhs), call);
call = build2_loc (loc, MODIFY_EXPR, void_type_node, lhs, call);
}
else
call = fold_convert_loc (loc, void_type_node, call);
force_gimple_operand_gsi (&gsi, call, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&gsi, true);
gsi = gsi_last_nondebug_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_ATOMIC_STORE);
gsi_remove (&gsi, true);
gsi = gsi_last_nondebug_bb (store_bb);
stmt = gsi_stmt (gsi);
gsi_remove (&gsi, true);
if (gimple_in_ssa_p (cfun))
{
release_defs (stmt);
update_ssa (TODO_update_ssa_no_phi);
}
return true;
}
/* A subroutine of expand_omp_atomic. Implement the atomic operation as:
oldval = *addr;
repeat:
newval = rhs; // with oldval replacing *addr in rhs
oldval = __sync_val_compare_and_swap (addr, oldval, newval);
if (oldval != newval)
goto repeat;
INDEX is log2 of the size of the data type, and thus usable to find the
index of the builtin decl. */
static bool
expand_omp_atomic_pipeline (basic_block load_bb, basic_block store_bb,
tree addr, tree loaded_val, tree stored_val,
int index)
{
tree loadedi, storedi, initial, new_storedi, old_vali;
tree type, itype, cmpxchg, iaddr, atype;
gimple_stmt_iterator si;
basic_block loop_header = single_succ (load_bb);
gimple *phi, *stmt;
edge e;
enum built_in_function fncode;
/* ??? We need a non-pointer interface to __atomic_compare_exchange in
order to use the RELAXED memory model effectively. */
fncode = (enum built_in_function)((int)BUILT_IN_SYNC_VAL_COMPARE_AND_SWAP_N
+ index + 1);
cmpxchg = builtin_decl_explicit (fncode);
if (cmpxchg == NULL_TREE)
return false;
type = TYPE_MAIN_VARIANT (TREE_TYPE (loaded_val));
atype = type;
itype = TREE_TYPE (TREE_TYPE (cmpxchg));
if (!can_compare_and_swap_p (TYPE_MODE (itype), true)
|| !can_atomic_load_p (TYPE_MODE (itype)))
return false;
/* Load the initial value, replacing the GIMPLE_OMP_ATOMIC_LOAD. */
si = gsi_last_nondebug_bb (load_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_LOAD);
/* For floating-point values, we'll need to view-convert them to integers
so that we can perform the atomic compare and swap. Simplify the
following code by always setting up the "i"ntegral variables. */
if (!INTEGRAL_TYPE_P (type) && !POINTER_TYPE_P (type))
{
tree iaddr_val;
iaddr = create_tmp_reg (build_pointer_type_for_mode (itype, ptr_mode,
true));
atype = itype;
iaddr_val
= force_gimple_operand_gsi (&si,
fold_convert (TREE_TYPE (iaddr), addr),
false, NULL_TREE, true, GSI_SAME_STMT);
stmt = gimple_build_assign (iaddr, iaddr_val);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
loadedi = create_tmp_var (itype);
if (gimple_in_ssa_p (cfun))
loadedi = make_ssa_name (loadedi);
}
else
{
iaddr = addr;
loadedi = loaded_val;
}
fncode = (enum built_in_function) (BUILT_IN_ATOMIC_LOAD_N + index + 1);
tree loaddecl = builtin_decl_explicit (fncode);
if (loaddecl)
initial
= fold_convert (atype,
build_call_expr (loaddecl, 2, iaddr,
build_int_cst (NULL_TREE,
MEMMODEL_RELAXED)));
else
{
tree off
= build_int_cst (build_pointer_type_for_mode (atype, ptr_mode,
true), 0);
initial = build2 (MEM_REF, atype, iaddr, off);
}
initial
= force_gimple_operand_gsi (&si, initial, true, NULL_TREE, true,
GSI_SAME_STMT);
/* Move the value to the LOADEDI temporary. */
if (gimple_in_ssa_p (cfun))
{
gcc_assert (gimple_seq_empty_p (phi_nodes (loop_header)));
phi = create_phi_node (loadedi, loop_header);
SET_USE (PHI_ARG_DEF_PTR_FROM_EDGE (phi, single_succ_edge (load_bb)),
initial);
}
else
gsi_insert_before (&si,
gimple_build_assign (loadedi, initial),
GSI_SAME_STMT);
if (loadedi != loaded_val)
{
gimple_stmt_iterator gsi2;
tree x;
x = build1 (VIEW_CONVERT_EXPR, type, loadedi);
gsi2 = gsi_start_bb (loop_header);
if (gimple_in_ssa_p (cfun))
{
gassign *stmt;
x = force_gimple_operand_gsi (&gsi2, x, true, NULL_TREE,
true, GSI_SAME_STMT);
stmt = gimple_build_assign (loaded_val, x);
gsi_insert_before (&gsi2, stmt, GSI_SAME_STMT);
}
else
{
x = build2 (MODIFY_EXPR, TREE_TYPE (loaded_val), loaded_val, x);
force_gimple_operand_gsi (&gsi2, x, true, NULL_TREE,
true, GSI_SAME_STMT);
}
}
gsi_remove (&si, true);
si = gsi_last_nondebug_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_STORE);
if (iaddr == addr)
storedi = stored_val;
else
storedi
= force_gimple_operand_gsi (&si,
build1 (VIEW_CONVERT_EXPR, itype,
stored_val), true, NULL_TREE, true,
GSI_SAME_STMT);
/* Build the compare&swap statement. */
new_storedi = build_call_expr (cmpxchg, 3, iaddr, loadedi, storedi);
new_storedi = force_gimple_operand_gsi (&si,
fold_convert (TREE_TYPE (loadedi),
new_storedi),
true, NULL_TREE,
true, GSI_SAME_STMT);
if (gimple_in_ssa_p (cfun))
old_vali = loadedi;
else
{
old_vali = create_tmp_var (TREE_TYPE (loadedi));
stmt = gimple_build_assign (old_vali, loadedi);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
stmt = gimple_build_assign (loadedi, new_storedi);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
}
/* Note that we always perform the comparison as an integer, even for
floating point. This allows the atomic operation to properly
succeed even with NaNs and -0.0. */
tree ne = build2 (NE_EXPR, boolean_type_node, new_storedi, old_vali);
stmt = gimple_build_cond_empty (ne);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
/* Update cfg. */
e = single_succ_edge (store_bb);
e->flags &= ~EDGE_FALLTHRU;
e->flags |= EDGE_FALSE_VALUE;
/* Expect no looping. */
e->probability = profile_probability::guessed_always ();
e = make_edge (store_bb, loop_header, EDGE_TRUE_VALUE);
e->probability = profile_probability::guessed_never ();
/* Copy the new value to loadedi (we already did that before the condition
if we are not in SSA). */
if (gimple_in_ssa_p (cfun))
{
phi = gimple_seq_first_stmt (phi_nodes (loop_header));
SET_USE (PHI_ARG_DEF_PTR_FROM_EDGE (phi, e), new_storedi);
}
/* Remove GIMPLE_OMP_ATOMIC_STORE. */
gsi_remove (&si, true);
struct loop *loop = alloc_loop ();
loop->header = loop_header;
loop->latch = store_bb;
add_loop (loop, loop_header->loop_father);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* A subroutine of expand_omp_atomic. Implement the atomic operation as:
GOMP_atomic_start ();
*addr = rhs;
GOMP_atomic_end ();
The result is not globally atomic, but works so long as all parallel
references are within #pragma omp atomic directives. According to
responses received from omp@openmp.org, appears to be within spec.
Which makes sense, since that's how several other compilers handle
this situation as well.
LOADED_VAL and ADDR are the operands of GIMPLE_OMP_ATOMIC_LOAD we're
expanding. STORED_VAL is the operand of the matching
GIMPLE_OMP_ATOMIC_STORE.
We replace
GIMPLE_OMP_ATOMIC_LOAD (loaded_val, addr) with
loaded_val = *addr;
and replace
GIMPLE_OMP_ATOMIC_STORE (stored_val) with
*addr = stored_val;
*/
static bool
expand_omp_atomic_mutex (basic_block load_bb, basic_block store_bb,
tree addr, tree loaded_val, tree stored_val)
{
gimple_stmt_iterator si;
gassign *stmt;
tree t;
si = gsi_last_nondebug_bb (load_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_LOAD);
t = builtin_decl_explicit (BUILT_IN_GOMP_ATOMIC_START);
t = build_call_expr (t, 0);
force_gimple_operand_gsi (&si, t, true, NULL_TREE, true, GSI_SAME_STMT);
tree mem = build_simple_mem_ref (addr);
TREE_TYPE (mem) = TREE_TYPE (loaded_val);
TREE_OPERAND (mem, 1)
= fold_convert (build_pointer_type_for_mode (TREE_TYPE (mem), ptr_mode,
true),
TREE_OPERAND (mem, 1));
stmt = gimple_build_assign (loaded_val, mem);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
gsi_remove (&si, true);
si = gsi_last_nondebug_bb (store_bb);
gcc_assert (gimple_code (gsi_stmt (si)) == GIMPLE_OMP_ATOMIC_STORE);
stmt = gimple_build_assign (unshare_expr (mem), stored_val);
gsi_insert_before (&si, stmt, GSI_SAME_STMT);
t = builtin_decl_explicit (BUILT_IN_GOMP_ATOMIC_END);
t = build_call_expr (t, 0);
force_gimple_operand_gsi (&si, t, true, NULL_TREE, true, GSI_SAME_STMT);
gsi_remove (&si, true);
if (gimple_in_ssa_p (cfun))
update_ssa (TODO_update_ssa_no_phi);
return true;
}
/* Expand an GIMPLE_OMP_ATOMIC statement. We try to expand
using expand_omp_atomic_fetch_op. If it failed, we try to
call expand_omp_atomic_pipeline, and if it fails too, the
ultimate fallback is wrapping the operation in a mutex
(expand_omp_atomic_mutex). REGION is the atomic region built
by build_omp_regions_1(). */
static void
expand_omp_atomic (struct omp_region *region)
{
basic_block load_bb = region->entry, store_bb = region->exit;
gomp_atomic_load *load = as_a <gomp_atomic_load *> (last_stmt (load_bb));
gomp_atomic_store *store = as_a <gomp_atomic_store *> (last_stmt (store_bb));
tree loaded_val = gimple_omp_atomic_load_lhs (load);
tree addr = gimple_omp_atomic_load_rhs (load);
tree stored_val = gimple_omp_atomic_store_val (store);
tree type = TYPE_MAIN_VARIANT (TREE_TYPE (loaded_val));
HOST_WIDE_INT index;
/* Make sure the type is one of the supported sizes. */
index = tree_to_uhwi (TYPE_SIZE_UNIT (type));
index = exact_log2 (index);
if (index >= 0 && index <= 4)
{
unsigned int align = TYPE_ALIGN_UNIT (type);
/* __sync builtins require strict data alignment. */
if (exact_log2 (align) >= index)
{
/* Atomic load. */
scalar_mode smode;
if (loaded_val == stored_val
&& (is_int_mode (TYPE_MODE (type), &smode)
|| is_float_mode (TYPE_MODE (type), &smode))
&& GET_MODE_BITSIZE (smode) <= BITS_PER_WORD
&& expand_omp_atomic_load (load_bb, addr, loaded_val, index))
return;
/* Atomic store. */
if ((is_int_mode (TYPE_MODE (type), &smode)
|| is_float_mode (TYPE_MODE (type), &smode))
&& GET_MODE_BITSIZE (smode) <= BITS_PER_WORD
&& store_bb == single_succ (load_bb)
&& first_stmt (store_bb) == store
&& expand_omp_atomic_store (load_bb, addr, loaded_val,
stored_val, index))
return;
/* When possible, use specialized atomic update functions. */
if ((INTEGRAL_TYPE_P (type) || POINTER_TYPE_P (type))
&& store_bb == single_succ (load_bb)
&& expand_omp_atomic_fetch_op (load_bb, addr,
loaded_val, stored_val, index))
return;
/* If we don't have specialized __sync builtins, try and implement
as a compare and swap loop. */
if (expand_omp_atomic_pipeline (load_bb, store_bb, addr,
loaded_val, stored_val, index))
return;
}
}
/* The ultimate fallback is wrapping the operation in a mutex. */
expand_omp_atomic_mutex (load_bb, store_bb, addr, loaded_val, stored_val);
}
/* Mark the loops inside the kernels region starting at REGION_ENTRY and ending
at REGION_EXIT. */
static void
mark_loops_in_oacc_kernels_region (basic_block region_entry,
basic_block region_exit)
{
struct loop *outer = region_entry->loop_father;
gcc_assert (region_exit == NULL || outer == region_exit->loop_father);
/* Don't parallelize the kernels region if it contains more than one outer
loop. */
unsigned int nr_outer_loops = 0;
struct loop *single_outer = NULL;
for (struct loop *loop = outer->inner; loop != NULL; loop = loop->next)
{
gcc_assert (loop_outer (loop) == outer);
if (!dominated_by_p (CDI_DOMINATORS, loop->header, region_entry))
continue;
if (region_exit != NULL
&& dominated_by_p (CDI_DOMINATORS, loop->header, region_exit))
continue;
nr_outer_loops++;
single_outer = loop;
}
if (nr_outer_loops != 1)
return;
for (struct loop *loop = single_outer->inner;
loop != NULL;
loop = loop->inner)
if (loop->next)
return;
/* Mark the loops in the region. */
for (struct loop *loop = single_outer; loop != NULL; loop = loop->inner)
loop->in_oacc_kernels_region = true;
}
/* Types used to pass grid and wortkgroup sizes to kernel invocation. */
struct GTY(()) grid_launch_attributes_trees
{
tree kernel_dim_array_type;
tree kernel_lattrs_dimnum_decl;
tree kernel_lattrs_grid_decl;
tree kernel_lattrs_group_decl;
tree kernel_launch_attributes_type;
};
static GTY(()) struct grid_launch_attributes_trees *grid_attr_trees;
/* Create types used to pass kernel launch attributes to target. */
static void
grid_create_kernel_launch_attr_types (void)
{
if (grid_attr_trees)
return;
grid_attr_trees = ggc_alloc <grid_launch_attributes_trees> ();
tree dim_arr_index_type
= build_index_type (build_int_cst (integer_type_node, 2));
grid_attr_trees->kernel_dim_array_type
= build_array_type (uint32_type_node, dim_arr_index_type);
grid_attr_trees->kernel_launch_attributes_type = make_node (RECORD_TYPE);
grid_attr_trees->kernel_lattrs_dimnum_decl
= build_decl (BUILTINS_LOCATION, FIELD_DECL, get_identifier ("ndim"),
uint32_type_node);
DECL_CHAIN (grid_attr_trees->kernel_lattrs_dimnum_decl) = NULL_TREE;
grid_attr_trees->kernel_lattrs_grid_decl
= build_decl (BUILTINS_LOCATION, FIELD_DECL, get_identifier ("grid_size"),
grid_attr_trees->kernel_dim_array_type);
DECL_CHAIN (grid_attr_trees->kernel_lattrs_grid_decl)
= grid_attr_trees->kernel_lattrs_dimnum_decl;
grid_attr_trees->kernel_lattrs_group_decl
= build_decl (BUILTINS_LOCATION, FIELD_DECL, get_identifier ("group_size"),
grid_attr_trees->kernel_dim_array_type);
DECL_CHAIN (grid_attr_trees->kernel_lattrs_group_decl)
= grid_attr_trees->kernel_lattrs_grid_decl;
finish_builtin_struct (grid_attr_trees->kernel_launch_attributes_type,
"__gomp_kernel_launch_attributes",
grid_attr_trees->kernel_lattrs_group_decl, NULL_TREE);
}
/* Insert before the current statement in GSI a store of VALUE to INDEX of
array (of type kernel_dim_array_type) FLD_DECL of RANGE_VAR. VALUE must be
of type uint32_type_node. */
static void
grid_insert_store_range_dim (gimple_stmt_iterator *gsi, tree range_var,
tree fld_decl, int index, tree value)
{
tree ref = build4 (ARRAY_REF, uint32_type_node,
build3 (COMPONENT_REF,
grid_attr_trees->kernel_dim_array_type,
range_var, fld_decl, NULL_TREE),
build_int_cst (integer_type_node, index),
NULL_TREE, NULL_TREE);
gsi_insert_before (gsi, gimple_build_assign (ref, value), GSI_SAME_STMT);
}
/* Return a tree representation of a pointer to a structure with grid and
work-group size information. Statements filling that information will be
inserted before GSI, TGT_STMT is the target statement which has the
necessary information in it. */
static tree
grid_get_kernel_launch_attributes (gimple_stmt_iterator *gsi,
gomp_target *tgt_stmt)
{
grid_create_kernel_launch_attr_types ();
tree lattrs = create_tmp_var (grid_attr_trees->kernel_launch_attributes_type,
"__kernel_launch_attrs");
unsigned max_dim = 0;
for (tree clause = gimple_omp_target_clauses (tgt_stmt);
clause;
clause = OMP_CLAUSE_CHAIN (clause))
{
if (OMP_CLAUSE_CODE (clause) != OMP_CLAUSE__GRIDDIM_)
continue;
unsigned dim = OMP_CLAUSE__GRIDDIM__DIMENSION (clause);
max_dim = MAX (dim, max_dim);
grid_insert_store_range_dim (gsi, lattrs,
grid_attr_trees->kernel_lattrs_grid_decl,
dim, OMP_CLAUSE__GRIDDIM__SIZE (clause));
grid_insert_store_range_dim (gsi, lattrs,
grid_attr_trees->kernel_lattrs_group_decl,
dim, OMP_CLAUSE__GRIDDIM__GROUP (clause));
}
tree dimref = build3 (COMPONENT_REF, uint32_type_node, lattrs,
grid_attr_trees->kernel_lattrs_dimnum_decl, NULL_TREE);
gcc_checking_assert (max_dim <= 2);
tree dimensions = build_int_cstu (uint32_type_node, max_dim + 1);
gsi_insert_before (gsi, gimple_build_assign (dimref, dimensions),
GSI_SAME_STMT);
TREE_ADDRESSABLE (lattrs) = 1;
return build_fold_addr_expr (lattrs);
}
/* Build target argument identifier from the DEVICE identifier, value
identifier ID and whether the element also has a SUBSEQUENT_PARAM. */
static tree
get_target_argument_identifier_1 (int device, bool subseqent_param, int id)
{
tree t = build_int_cst (integer_type_node, device);
if (subseqent_param)
t = fold_build2 (BIT_IOR_EXPR, integer_type_node, t,
build_int_cst (integer_type_node,
GOMP_TARGET_ARG_SUBSEQUENT_PARAM));
t = fold_build2 (BIT_IOR_EXPR, integer_type_node, t,
build_int_cst (integer_type_node, id));
return t;
}
/* Like above but return it in type that can be directly stored as an element
of the argument array. */
static tree
get_target_argument_identifier (int device, bool subseqent_param, int id)
{
tree t = get_target_argument_identifier_1 (device, subseqent_param, id);
return fold_convert (ptr_type_node, t);
}
/* Return a target argument consisting of DEVICE identifier, value identifier
ID, and the actual VALUE. */
static tree
get_target_argument_value (gimple_stmt_iterator *gsi, int device, int id,
tree value)
{
tree t = fold_build2 (LSHIFT_EXPR, integer_type_node,
fold_convert (integer_type_node, value),
build_int_cst (unsigned_type_node,
GOMP_TARGET_ARG_VALUE_SHIFT));
t = fold_build2 (BIT_IOR_EXPR, integer_type_node, t,
get_target_argument_identifier_1 (device, false, id));
t = fold_convert (ptr_type_node, t);
return force_gimple_operand_gsi (gsi, t, true, NULL, true, GSI_SAME_STMT);
}
/* If VALUE is an integer constant greater than -2^15 and smaller than 2^15,
push one argument to ARGS with both the DEVICE, ID and VALUE embedded in it,
otherwise push an identifier (with DEVICE and ID) and the VALUE in two
arguments. */
static void
push_target_argument_according_to_value (gimple_stmt_iterator *gsi, int device,
int id, tree value, vec <tree> *args)
{
if (tree_fits_shwi_p (value)
&& tree_to_shwi (value) > -(1 << 15)
&& tree_to_shwi (value) < (1 << 15))
args->quick_push (get_target_argument_value (gsi, device, id, value));
else
{
args->quick_push (get_target_argument_identifier (device, true, id));
value = fold_convert (ptr_type_node, value);
value = force_gimple_operand_gsi (gsi, value, true, NULL, true,
GSI_SAME_STMT);
args->quick_push (value);
}
}
/* Create an array of arguments that is then passed to GOMP_target. */
static tree
get_target_arguments (gimple_stmt_iterator *gsi, gomp_target *tgt_stmt)
{
auto_vec <tree, 6> args;
tree clauses = gimple_omp_target_clauses (tgt_stmt);
tree t, c = omp_find_clause (clauses, OMP_CLAUSE_NUM_TEAMS);
if (c)
t = OMP_CLAUSE_NUM_TEAMS_EXPR (c);
else
t = integer_minus_one_node;
push_target_argument_according_to_value (gsi, GOMP_TARGET_ARG_DEVICE_ALL,
GOMP_TARGET_ARG_NUM_TEAMS, t, &args);
c = omp_find_clause (clauses, OMP_CLAUSE_THREAD_LIMIT);
if (c)
t = OMP_CLAUSE_THREAD_LIMIT_EXPR (c);
else
t = integer_minus_one_node;
push_target_argument_according_to_value (gsi, GOMP_TARGET_ARG_DEVICE_ALL,
GOMP_TARGET_ARG_THREAD_LIMIT, t,
&args);
/* Add HSA-specific grid sizes, if available. */
if (omp_find_clause (gimple_omp_target_clauses (tgt_stmt),
OMP_CLAUSE__GRIDDIM_))
{
int id = GOMP_TARGET_ARG_HSA_KERNEL_ATTRIBUTES;
t = get_target_argument_identifier (GOMP_DEVICE_HSA, true, id);
args.quick_push (t);
args.quick_push (grid_get_kernel_launch_attributes (gsi, tgt_stmt));
}
/* Produce more, perhaps device specific, arguments here. */
tree argarray = create_tmp_var (build_array_type_nelts (ptr_type_node,
args.length () + 1),
".omp_target_args");
for (unsigned i = 0; i < args.length (); i++)
{
tree ref = build4 (ARRAY_REF, ptr_type_node, argarray,
build_int_cst (integer_type_node, i),
NULL_TREE, NULL_TREE);
gsi_insert_before (gsi, gimple_build_assign (ref, args[i]),
GSI_SAME_STMT);
}
tree ref = build4 (ARRAY_REF, ptr_type_node, argarray,
build_int_cst (integer_type_node, args.length ()),
NULL_TREE, NULL_TREE);
gsi_insert_before (gsi, gimple_build_assign (ref, null_pointer_node),
GSI_SAME_STMT);
TREE_ADDRESSABLE (argarray) = 1;
return build_fold_addr_expr (argarray);
}
/* Expand the GIMPLE_OMP_TARGET starting at REGION. */
static void
expand_omp_target (struct omp_region *region)
{
basic_block entry_bb, exit_bb, new_bb;
struct function *child_cfun;
tree child_fn, block, t;
gimple_stmt_iterator gsi;
gomp_target *entry_stmt;
gimple *stmt;
edge e;
bool offloaded, data_region;
entry_stmt = as_a <gomp_target *> (last_stmt (region->entry));
new_bb = region->entry;
offloaded = is_gimple_omp_offloaded (entry_stmt);
switch (gimple_omp_target_kind (entry_stmt))
{
case GF_OMP_TARGET_KIND_REGION:
case GF_OMP_TARGET_KIND_UPDATE:
case GF_OMP_TARGET_KIND_ENTER_DATA:
case GF_OMP_TARGET_KIND_EXIT_DATA:
case GF_OMP_TARGET_KIND_OACC_PARALLEL:
case GF_OMP_TARGET_KIND_OACC_KERNELS:
case GF_OMP_TARGET_KIND_OACC_UPDATE:
case GF_OMP_TARGET_KIND_OACC_ENTER_EXIT_DATA:
case GF_OMP_TARGET_KIND_OACC_DECLARE:
data_region = false;
break;
case GF_OMP_TARGET_KIND_DATA:
case GF_OMP_TARGET_KIND_OACC_DATA:
case GF_OMP_TARGET_KIND_OACC_HOST_DATA:
data_region = true;
break;
default:
gcc_unreachable ();
}
child_fn = NULL_TREE;
child_cfun = NULL;
if (offloaded)
{
child_fn = gimple_omp_target_child_fn (entry_stmt);
child_cfun = DECL_STRUCT_FUNCTION (child_fn);
}
/* Supported by expand_omp_taskreg, but not here. */
if (child_cfun != NULL)
gcc_checking_assert (!child_cfun->cfg);
gcc_checking_assert (!gimple_in_ssa_p (cfun));
entry_bb = region->entry;
exit_bb = region->exit;
if (gimple_omp_target_kind (entry_stmt) == GF_OMP_TARGET_KIND_OACC_KERNELS)
{
mark_loops_in_oacc_kernels_region (region->entry, region->exit);
/* Further down, both OpenACC kernels and OpenACC parallel constructs
will be mappted to BUILT_IN_GOACC_PARALLEL, and to distinguish the
two, there is an "oacc kernels" attribute set for OpenACC kernels. */
DECL_ATTRIBUTES (child_fn)
= tree_cons (get_identifier ("oacc kernels"),
NULL_TREE, DECL_ATTRIBUTES (child_fn));
}
if (offloaded)
{
unsigned srcidx, dstidx, num;
/* If the offloading region needs data sent from the parent
function, then the very first statement (except possible
tree profile counter updates) of the offloading body
is a copy assignment .OMP_DATA_I = &.OMP_DATA_O. Since
&.OMP_DATA_O is passed as an argument to the child function,
we need to replace it with the argument as seen by the child
function.
In most cases, this will end up being the identity assignment
.OMP_DATA_I = .OMP_DATA_I. However, if the offloading body had
a function call that has been inlined, the original PARM_DECL
.OMP_DATA_I may have been converted into a different local
variable. In which case, we need to keep the assignment. */
tree data_arg = gimple_omp_target_data_arg (entry_stmt);
if (data_arg)
{
basic_block entry_succ_bb = single_succ (entry_bb);
gimple_stmt_iterator gsi;
tree arg;
gimple *tgtcopy_stmt = NULL;
tree sender = TREE_VEC_ELT (data_arg, 0);
for (gsi = gsi_start_bb (entry_succ_bb); ; gsi_next (&gsi))
{
gcc_assert (!gsi_end_p (gsi));
stmt = gsi_stmt (gsi);
if (gimple_code (stmt) != GIMPLE_ASSIGN)
continue;
if (gimple_num_ops (stmt) == 2)
{
tree arg = gimple_assign_rhs1 (stmt);
/* We're ignoring the subcode because we're
effectively doing a STRIP_NOPS. */
if (TREE_CODE (arg) == ADDR_EXPR
&& TREE_OPERAND (arg, 0) == sender)
{
tgtcopy_stmt = stmt;
break;
}
}
}
gcc_assert (tgtcopy_stmt != NULL);
arg = DECL_ARGUMENTS (child_fn);
gcc_assert (gimple_assign_lhs (tgtcopy_stmt) == arg);
gsi_remove (&gsi, true);
}
/* Declare local variables needed in CHILD_CFUN. */
block = DECL_INITIAL (child_fn);
BLOCK_VARS (block) = vec2chain (child_cfun->local_decls);
/* The gimplifier could record temporaries in the offloading block
rather than in containing function's local_decls chain,
which would mean cgraph missed finalizing them. Do it now. */
for (t = BLOCK_VARS (block); t; t = DECL_CHAIN (t))
if (VAR_P (t) && TREE_STATIC (t) && !DECL_EXTERNAL (t))
varpool_node::finalize_decl (t);
DECL_SAVED_TREE (child_fn) = NULL;
/* We'll create a CFG for child_fn, so no gimple body is needed. */
gimple_set_body (child_fn, NULL);
TREE_USED (block) = 1;
/* Reset DECL_CONTEXT on function arguments. */
for (t = DECL_ARGUMENTS (child_fn); t; t = DECL_CHAIN (t))
DECL_CONTEXT (t) = child_fn;
/* Split ENTRY_BB at GIMPLE_*,
so that it can be moved to the child function. */
gsi = gsi_last_nondebug_bb (entry_bb);
stmt = gsi_stmt (gsi);
gcc_assert (stmt
&& gimple_code (stmt) == gimple_code (entry_stmt));
e = split_block (entry_bb, stmt);
gsi_remove (&gsi, true);
entry_bb = e->dest;
single_succ_edge (entry_bb)->flags = EDGE_FALLTHRU;
/* Convert GIMPLE_OMP_RETURN into a RETURN_EXPR. */
if (exit_bb)
{
gsi = gsi_last_nondebug_bb (exit_bb);
gcc_assert (!gsi_end_p (gsi)
&& gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
stmt = gimple_build_return (NULL);
gsi_insert_after (&gsi, stmt, GSI_SAME_STMT);
gsi_remove (&gsi, true);
}
/* Make sure to generate early debug for the function before
outlining anything. */
if (! gimple_in_ssa_p (cfun))
(*debug_hooks->early_global_decl) (cfun->decl);
/* Move the offloading region into CHILD_CFUN. */
block = gimple_block (entry_stmt);
new_bb = move_sese_region_to_fn (child_cfun, entry_bb, exit_bb, block);
if (exit_bb)
single_succ_edge (new_bb)->flags = EDGE_FALLTHRU;
/* When the OMP expansion process cannot guarantee an up-to-date
loop tree arrange for the child function to fixup loops. */
if (loops_state_satisfies_p (LOOPS_NEED_FIXUP))
child_cfun->x_current_loops->state |= LOOPS_NEED_FIXUP;
/* Remove non-local VAR_DECLs from child_cfun->local_decls list. */
num = vec_safe_length (child_cfun->local_decls);
for (srcidx = 0, dstidx = 0; srcidx < num; srcidx++)
{
t = (*child_cfun->local_decls)[srcidx];
if (DECL_CONTEXT (t) == cfun->decl)
continue;
if (srcidx != dstidx)
(*child_cfun->local_decls)[dstidx] = t;
dstidx++;
}
if (dstidx != num)
vec_safe_truncate (child_cfun->local_decls, dstidx);
/* Inform the callgraph about the new function. */
child_cfun->curr_properties = cfun->curr_properties;
child_cfun->has_simduid_loops |= cfun->has_simduid_loops;
child_cfun->has_force_vectorize_loops |= cfun->has_force_vectorize_loops;
cgraph_node *node = cgraph_node::get_create (child_fn);
node->parallelized_function = 1;
cgraph_node::add_new_function (child_fn, true);
/* Add the new function to the offload table. */
if (ENABLE_OFFLOADING)
{
if (in_lto_p)
DECL_PRESERVE_P (child_fn) = 1;
vec_safe_push (offload_funcs, child_fn);
}
bool need_asm = DECL_ASSEMBLER_NAME_SET_P (current_function_decl)
&& !DECL_ASSEMBLER_NAME_SET_P (child_fn);
/* Fix the callgraph edges for child_cfun. Those for cfun will be
fixed in a following pass. */
push_cfun (child_cfun);
if (need_asm)
assign_assembler_name_if_needed (child_fn);
cgraph_edge::rebuild_edges ();
/* Some EH regions might become dead, see PR34608. If
pass_cleanup_cfg isn't the first pass to happen with the
new child, these dead EH edges might cause problems.
Clean them up now. */
if (flag_exceptions)
{
basic_block bb;
bool changed = false;
FOR_EACH_BB_FN (bb, cfun)
changed |= gimple_purge_dead_eh_edges (bb);
if (changed)
cleanup_tree_cfg ();
}
if (flag_checking && !loops_state_satisfies_p (LOOPS_NEED_FIXUP))
verify_loop_structure ();
pop_cfun ();
if (dump_file && !gimple_in_ssa_p (cfun))
{
omp_any_child_fn_dumped = true;
dump_function_header (dump_file, child_fn, dump_flags);
dump_function_to_file (child_fn, dump_file, dump_flags);
}
}
/* Emit a library call to launch the offloading region, or do data
transfers. */
tree t1, t2, t3, t4, device, cond, depend, c, clauses;
enum built_in_function start_ix;
location_t clause_loc;
unsigned int flags_i = 0;
switch (gimple_omp_target_kind (entry_stmt))
{
case GF_OMP_TARGET_KIND_REGION:
start_ix = BUILT_IN_GOMP_TARGET;
break;
case GF_OMP_TARGET_KIND_DATA:
start_ix = BUILT_IN_GOMP_TARGET_DATA;
break;
case GF_OMP_TARGET_KIND_UPDATE:
start_ix = BUILT_IN_GOMP_TARGET_UPDATE;
break;
case GF_OMP_TARGET_KIND_ENTER_DATA:
start_ix = BUILT_IN_GOMP_TARGET_ENTER_EXIT_DATA;
break;
case GF_OMP_TARGET_KIND_EXIT_DATA:
start_ix = BUILT_IN_GOMP_TARGET_ENTER_EXIT_DATA;
flags_i |= GOMP_TARGET_FLAG_EXIT_DATA;
break;
case GF_OMP_TARGET_KIND_OACC_KERNELS:
case GF_OMP_TARGET_KIND_OACC_PARALLEL:
start_ix = BUILT_IN_GOACC_PARALLEL;
break;
case GF_OMP_TARGET_KIND_OACC_DATA:
case GF_OMP_TARGET_KIND_OACC_HOST_DATA:
start_ix = BUILT_IN_GOACC_DATA_START;
break;
case GF_OMP_TARGET_KIND_OACC_UPDATE:
start_ix = BUILT_IN_GOACC_UPDATE;
break;
case GF_OMP_TARGET_KIND_OACC_ENTER_EXIT_DATA:
start_ix = BUILT_IN_GOACC_ENTER_EXIT_DATA;
break;
case GF_OMP_TARGET_KIND_OACC_DECLARE:
start_ix = BUILT_IN_GOACC_DECLARE;
break;
default:
gcc_unreachable ();
}
clauses = gimple_omp_target_clauses (entry_stmt);
/* By default, the value of DEVICE is GOMP_DEVICE_ICV (let runtime
library choose) and there is no conditional. */
cond = NULL_TREE;
device = build_int_cst (integer_type_node, GOMP_DEVICE_ICV);
c = omp_find_clause (clauses, OMP_CLAUSE_IF);
if (c)
cond = OMP_CLAUSE_IF_EXPR (c);
c = omp_find_clause (clauses, OMP_CLAUSE_DEVICE);
if (c)
{
/* Even if we pass it to all library function calls, it is currently only
defined/used for the OpenMP target ones. */
gcc_checking_assert (start_ix == BUILT_IN_GOMP_TARGET
|| start_ix == BUILT_IN_GOMP_TARGET_DATA
|| start_ix == BUILT_IN_GOMP_TARGET_UPDATE
|| start_ix == BUILT_IN_GOMP_TARGET_ENTER_EXIT_DATA);
device = OMP_CLAUSE_DEVICE_ID (c);
clause_loc = OMP_CLAUSE_LOCATION (c);
}
else
clause_loc = gimple_location (entry_stmt);
c = omp_find_clause (clauses, OMP_CLAUSE_NOWAIT);
if (c)
flags_i |= GOMP_TARGET_FLAG_NOWAIT;
/* Ensure 'device' is of the correct type. */
device = fold_convert_loc (clause_loc, integer_type_node, device);
/* If we found the clause 'if (cond)', build
(cond ? device : GOMP_DEVICE_HOST_FALLBACK). */
if (cond)
{
cond = gimple_boolify (cond);
basic_block cond_bb, then_bb, else_bb;
edge e;
tree tmp_var;
tmp_var = create_tmp_var (TREE_TYPE (device));
if (offloaded)
e = split_block_after_labels (new_bb);
else
{
gsi = gsi_last_nondebug_bb (new_bb);
gsi_prev (&gsi);
e = split_block (new_bb, gsi_stmt (gsi));
}
cond_bb = e->src;
new_bb = e->dest;
remove_edge (e);
then_bb = create_empty_bb (cond_bb);
else_bb = create_empty_bb (then_bb);
set_immediate_dominator (CDI_DOMINATORS, then_bb, cond_bb);
set_immediate_dominator (CDI_DOMINATORS, else_bb, cond_bb);
stmt = gimple_build_cond_empty (cond);
gsi = gsi_last_bb (cond_bb);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
gsi = gsi_start_bb (then_bb);
stmt = gimple_build_assign (tmp_var, device);
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
gsi = gsi_start_bb (else_bb);
stmt = gimple_build_assign (tmp_var,
build_int_cst (integer_type_node,
GOMP_DEVICE_HOST_FALLBACK));
gsi_insert_after (&gsi, stmt, GSI_CONTINUE_LINKING);
make_edge (cond_bb, then_bb, EDGE_TRUE_VALUE);
make_edge (cond_bb, else_bb, EDGE_FALSE_VALUE);
add_bb_to_loop (then_bb, cond_bb->loop_father);
add_bb_to_loop (else_bb, cond_bb->loop_father);
make_edge (then_bb, new_bb, EDGE_FALLTHRU);
make_edge (else_bb, new_bb, EDGE_FALLTHRU);
device = tmp_var;
gsi = gsi_last_nondebug_bb (new_bb);
}
else
{
gsi = gsi_last_nondebug_bb (new_bb);
device = force_gimple_operand_gsi (&gsi, device, true, NULL_TREE,
true, GSI_SAME_STMT);
}
t = gimple_omp_target_data_arg (entry_stmt);
if (t == NULL)
{
t1 = size_zero_node;
t2 = build_zero_cst (ptr_type_node);
t3 = t2;
t4 = t2;
}
else
{
t1 = TYPE_MAX_VALUE (TYPE_DOMAIN (TREE_TYPE (TREE_VEC_ELT (t, 1))));
t1 = size_binop (PLUS_EXPR, t1, size_int (1));
t2 = build_fold_addr_expr (TREE_VEC_ELT (t, 0));
t3 = build_fold_addr_expr (TREE_VEC_ELT (t, 1));
t4 = build_fold_addr_expr (TREE_VEC_ELT (t, 2));
}
gimple *g;
bool tagging = false;
/* The maximum number used by any start_ix, without varargs. */
auto_vec<tree, 11> args;
args.quick_push (device);
if (offloaded)
args.quick_push (build_fold_addr_expr (child_fn));
args.quick_push (t1);
args.quick_push (t2);
args.quick_push (t3);
args.quick_push (t4);
switch (start_ix)
{
case BUILT_IN_GOACC_DATA_START:
case BUILT_IN_GOACC_DECLARE:
case BUILT_IN_GOMP_TARGET_DATA:
break;
case BUILT_IN_GOMP_TARGET:
case BUILT_IN_GOMP_TARGET_UPDATE:
case BUILT_IN_GOMP_TARGET_ENTER_EXIT_DATA:
args.quick_push (build_int_cst (unsigned_type_node, flags_i));
c = omp_find_clause (clauses, OMP_CLAUSE_DEPEND);
if (c)
depend = OMP_CLAUSE_DECL (c);
else
depend = build_int_cst (ptr_type_node, 0);
args.quick_push (depend);
if (start_ix == BUILT_IN_GOMP_TARGET)
args.quick_push (get_target_arguments (&gsi, entry_stmt));
break;
case BUILT_IN_GOACC_PARALLEL:
oacc_set_fn_attrib (child_fn, clauses, &args);
tagging = true;
/* FALLTHRU */
case BUILT_IN_GOACC_ENTER_EXIT_DATA:
case BUILT_IN_GOACC_UPDATE:
{
tree t_async = NULL_TREE;
/* If present, use the value specified by the respective
clause, making sure that is of the correct type. */
c = omp_find_clause (clauses, OMP_CLAUSE_ASYNC);
if (c)
t_async = fold_convert_loc (OMP_CLAUSE_LOCATION (c),
integer_type_node,
OMP_CLAUSE_ASYNC_EXPR (c));
else if (!tagging)
/* Default values for t_async. */
t_async = fold_convert_loc (gimple_location (entry_stmt),
integer_type_node,
build_int_cst (integer_type_node,
GOMP_ASYNC_SYNC));
if (tagging && t_async)
{
unsigned HOST_WIDE_INT i_async = GOMP_LAUNCH_OP_MAX;
if (TREE_CODE (t_async) == INTEGER_CST)
{
/* See if we can pack the async arg in to the tag's
operand. */
i_async = TREE_INT_CST_LOW (t_async);
if (i_async < GOMP_LAUNCH_OP_MAX)
t_async = NULL_TREE;
else
i_async = GOMP_LAUNCH_OP_MAX;
}
args.safe_push (oacc_launch_pack (GOMP_LAUNCH_ASYNC, NULL_TREE,
i_async));
}
if (t_async)
args.safe_push (t_async);
/* Save the argument index, and ... */
unsigned t_wait_idx = args.length ();
unsigned num_waits = 0;
c = omp_find_clause (clauses, OMP_CLAUSE_WAIT);
if (!tagging || c)
/* ... push a placeholder. */
args.safe_push (integer_zero_node);
for (; c; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == OMP_CLAUSE_WAIT)
{
args.safe_push (fold_convert_loc (OMP_CLAUSE_LOCATION (c),
integer_type_node,
OMP_CLAUSE_WAIT_EXPR (c)));
num_waits++;
}
if (!tagging || num_waits)
{
tree len;
/* Now that we know the number, update the placeholder. */
if (tagging)
len = oacc_launch_pack (GOMP_LAUNCH_WAIT, NULL_TREE, num_waits);
else
len = build_int_cst (integer_type_node, num_waits);
len = fold_convert_loc (gimple_location (entry_stmt),
unsigned_type_node, len);
args[t_wait_idx] = len;
}
}
break;
default:
gcc_unreachable ();
}
if (tagging)
/* Push terminal marker - zero. */
args.safe_push (oacc_launch_pack (0, NULL_TREE, 0));
g = gimple_build_call_vec (builtin_decl_explicit (start_ix), args);
gimple_set_location (g, gimple_location (entry_stmt));
gsi_insert_before (&gsi, g, GSI_SAME_STMT);
if (!offloaded)
{
g = gsi_stmt (gsi);
gcc_assert (g && gimple_code (g) == GIMPLE_OMP_TARGET);
gsi_remove (&gsi, true);
}
if (data_region && region->exit)
{
gsi = gsi_last_nondebug_bb (region->exit);
g = gsi_stmt (gsi);
gcc_assert (g && gimple_code (g) == GIMPLE_OMP_RETURN);
gsi_remove (&gsi, true);
}
}
/* Expand KFOR loop as a HSA grifidied kernel, i.e. as a body only with
iteration variable derived from the thread number. INTRA_GROUP means this
is an expansion of a loop iterating over work-items within a separate
iteration over groups. */
static void
grid_expand_omp_for_loop (struct omp_region *kfor, bool intra_group)
{
gimple_stmt_iterator gsi;
gomp_for *for_stmt = as_a <gomp_for *> (last_stmt (kfor->entry));
gcc_checking_assert (gimple_omp_for_kind (for_stmt)
== GF_OMP_FOR_KIND_GRID_LOOP);
size_t collapse = gimple_omp_for_collapse (for_stmt);
struct omp_for_data_loop *loops
= XALLOCAVEC (struct omp_for_data_loop,
gimple_omp_for_collapse (for_stmt));
struct omp_for_data fd;
remove_edge (BRANCH_EDGE (kfor->entry));
basic_block body_bb = FALLTHRU_EDGE (kfor->entry)->dest;
gcc_assert (kfor->cont);
omp_extract_for_data (for_stmt, &fd, loops);
gsi = gsi_start_bb (body_bb);
for (size_t dim = 0; dim < collapse; dim++)
{
tree type, itype;
itype = type = TREE_TYPE (fd.loops[dim].v);
if (POINTER_TYPE_P (type))
itype = signed_type_for (type);
tree n1 = fd.loops[dim].n1;
tree step = fd.loops[dim].step;
n1 = force_gimple_operand_gsi (&gsi, fold_convert (type, n1),
true, NULL_TREE, true, GSI_SAME_STMT);
step = force_gimple_operand_gsi (&gsi, fold_convert (itype, step),
true, NULL_TREE, true, GSI_SAME_STMT);
tree threadid;
if (gimple_omp_for_grid_group_iter (for_stmt))
{
gcc_checking_assert (!intra_group);
threadid = build_call_expr (builtin_decl_explicit
(BUILT_IN_HSA_WORKGROUPID), 1,
build_int_cstu (unsigned_type_node, dim));
}
else if (intra_group)
threadid = build_call_expr (builtin_decl_explicit
(BUILT_IN_HSA_WORKITEMID), 1,
build_int_cstu (unsigned_type_node, dim));
else
threadid = build_call_expr (builtin_decl_explicit
(BUILT_IN_HSA_WORKITEMABSID), 1,
build_int_cstu (unsigned_type_node, dim));
threadid = fold_convert (itype, threadid);
threadid = force_gimple_operand_gsi (&gsi, threadid, true, NULL_TREE,
true, GSI_SAME_STMT);
tree startvar = fd.loops[dim].v;
tree t = fold_build2 (MULT_EXPR, itype, threadid, step);
if (POINTER_TYPE_P (type))
t = fold_build_pointer_plus (n1, t);
else
t = fold_build2 (PLUS_EXPR, type, t, n1);
t = fold_convert (type, t);
t = force_gimple_operand_gsi (&gsi, t,
DECL_P (startvar)
&& TREE_ADDRESSABLE (startvar),
NULL_TREE, true, GSI_SAME_STMT);
gassign *assign_stmt = gimple_build_assign (startvar, t);
gsi_insert_before (&gsi, assign_stmt, GSI_SAME_STMT);
}
/* Remove the omp for statement. */
gsi = gsi_last_nondebug_bb (kfor->entry);
gsi_remove (&gsi, true);
/* Remove the GIMPLE_OMP_CONTINUE statement. */
gsi = gsi_last_nondebug_bb (kfor->cont);
gcc_assert (!gsi_end_p (gsi)
&& gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_CONTINUE);
gsi_remove (&gsi, true);
/* Replace the GIMPLE_OMP_RETURN with a barrier, if necessary. */
gsi = gsi_last_nondebug_bb (kfor->exit);
gcc_assert (!gsi_end_p (gsi)
&& gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
if (intra_group)
gsi_insert_before (&gsi, omp_build_barrier (NULL_TREE), GSI_SAME_STMT);
gsi_remove (&gsi, true);
/* Fixup the much simpler CFG. */
remove_edge (find_edge (kfor->cont, body_bb));
if (kfor->cont != body_bb)
set_immediate_dominator (CDI_DOMINATORS, kfor->cont, body_bb);
set_immediate_dominator (CDI_DOMINATORS, kfor->exit, kfor->cont);
}
/* Structure passed to grid_remap_kernel_arg_accesses so that it can remap
argument_decls. */
struct grid_arg_decl_map
{
tree old_arg;
tree new_arg;
};
/* Invoked through walk_gimple_op, will remap all PARM_DECLs to the ones
pertaining to kernel function. */
static tree
grid_remap_kernel_arg_accesses (tree *tp, int *walk_subtrees, void *data)
{
struct walk_stmt_info *wi = (struct walk_stmt_info *) data;
struct grid_arg_decl_map *adm = (struct grid_arg_decl_map *) wi->info;
tree t = *tp;
if (t == adm->old_arg)
*tp = adm->new_arg;
*walk_subtrees = !TYPE_P (t) && !DECL_P (t);
return NULL_TREE;
}
/* If TARGET region contains a kernel body for loop, remove its region from the
TARGET and expand it in HSA gridified kernel fashion. */
static void
grid_expand_target_grid_body (struct omp_region *target)
{
if (!hsa_gen_requested_p ())
return;
gomp_target *tgt_stmt = as_a <gomp_target *> (last_stmt (target->entry));
struct omp_region **pp;
for (pp = &target->inner; *pp; pp = &(*pp)->next)
if ((*pp)->type == GIMPLE_OMP_GRID_BODY)
break;
struct omp_region *gpukernel = *pp;
tree orig_child_fndecl = gimple_omp_target_child_fn (tgt_stmt);
if (!gpukernel)
{
/* HSA cannot handle OACC stuff. */
if (gimple_omp_target_kind (tgt_stmt) != GF_OMP_TARGET_KIND_REGION)
return;
gcc_checking_assert (orig_child_fndecl);
gcc_assert (!omp_find_clause (gimple_omp_target_clauses (tgt_stmt),
OMP_CLAUSE__GRIDDIM_));
cgraph_node *n = cgraph_node::get (orig_child_fndecl);
hsa_register_kernel (n);
return;
}
gcc_assert (omp_find_clause (gimple_omp_target_clauses (tgt_stmt),
OMP_CLAUSE__GRIDDIM_));
tree inside_block
= gimple_block (first_stmt (single_succ (gpukernel->entry)));
*pp = gpukernel->next;
for (pp = &gpukernel->inner; *pp; pp = &(*pp)->next)
if ((*pp)->type == GIMPLE_OMP_FOR)
break;
struct omp_region *kfor = *pp;
gcc_assert (kfor);
gomp_for *for_stmt = as_a <gomp_for *> (last_stmt (kfor->entry));
gcc_assert (gimple_omp_for_kind (for_stmt) == GF_OMP_FOR_KIND_GRID_LOOP);
*pp = kfor->next;
if (kfor->inner)
{
if (gimple_omp_for_grid_group_iter (for_stmt))
{
struct omp_region **next_pp;
for (pp = &kfor->inner; *pp; pp = next_pp)
{
next_pp = &(*pp)->next;
if ((*pp)->type != GIMPLE_OMP_FOR)
continue;
gomp_for *inner = as_a <gomp_for *> (last_stmt ((*pp)->entry));
gcc_assert (gimple_omp_for_kind (inner)
== GF_OMP_FOR_KIND_GRID_LOOP);
grid_expand_omp_for_loop (*pp, true);
*pp = (*pp)->next;
next_pp = pp;
}
}
expand_omp (kfor->inner);
}
if (gpukernel->inner)
expand_omp (gpukernel->inner);
tree kern_fndecl = copy_node (orig_child_fndecl);
DECL_NAME (kern_fndecl) = clone_function_name (kern_fndecl, "kernel");
SET_DECL_ASSEMBLER_NAME (kern_fndecl, DECL_NAME (kern_fndecl));
tree tgtblock = gimple_block (tgt_stmt);
tree fniniblock = make_node (BLOCK);
BLOCK_ABSTRACT_ORIGIN (fniniblock) = tgtblock;
BLOCK_SOURCE_LOCATION (fniniblock) = BLOCK_SOURCE_LOCATION (tgtblock);
BLOCK_SOURCE_END_LOCATION (fniniblock) = BLOCK_SOURCE_END_LOCATION (tgtblock);
BLOCK_SUPERCONTEXT (fniniblock) = kern_fndecl;
DECL_INITIAL (kern_fndecl) = fniniblock;
push_struct_function (kern_fndecl);
cfun->function_end_locus = gimple_location (tgt_stmt);
init_tree_ssa (cfun);
pop_cfun ();
/* Make sure to generate early debug for the function before
outlining anything. */
if (! gimple_in_ssa_p (cfun))
(*debug_hooks->early_global_decl) (cfun->decl);
tree old_parm_decl = DECL_ARGUMENTS (kern_fndecl);
gcc_assert (!DECL_CHAIN (old_parm_decl));
tree new_parm_decl = copy_node (DECL_ARGUMENTS (kern_fndecl));
DECL_CONTEXT (new_parm_decl) = kern_fndecl;
DECL_ARGUMENTS (kern_fndecl) = new_parm_decl;
gcc_assert (VOID_TYPE_P (TREE_TYPE (DECL_RESULT (kern_fndecl))));
DECL_RESULT (kern_fndecl) = copy_node (DECL_RESULT (kern_fndecl));
DECL_CONTEXT (DECL_RESULT (kern_fndecl)) = kern_fndecl;
struct function *kern_cfun = DECL_STRUCT_FUNCTION (kern_fndecl);
kern_cfun->curr_properties = cfun->curr_properties;
grid_expand_omp_for_loop (kfor, false);
/* Remove the omp for statement. */
gimple_stmt_iterator gsi = gsi_last_nondebug_bb (gpukernel->entry);
gsi_remove (&gsi, true);
/* Replace the GIMPLE_OMP_RETURN at the end of the kernel region with a real
return. */
gsi = gsi_last_nondebug_bb (gpukernel->exit);
gcc_assert (!gsi_end_p (gsi)
&& gimple_code (gsi_stmt (gsi)) == GIMPLE_OMP_RETURN);
gimple *ret_stmt = gimple_build_return (NULL);
gsi_insert_after (&gsi, ret_stmt, GSI_SAME_STMT);
gsi_remove (&gsi, true);
/* Statements in the first BB in the target construct have been produced by
target lowering and must be copied inside the GPUKERNEL, with the two
exceptions of the first OMP statement and the OMP_DATA assignment
statement. */
gsi = gsi_start_bb (single_succ (gpukernel->entry));
tree data_arg = gimple_omp_target_data_arg (tgt_stmt);
tree sender = data_arg ? TREE_VEC_ELT (data_arg, 0) : NULL;
for (gimple_stmt_iterator tsi = gsi_start_bb (single_succ (target->entry));
!gsi_end_p (tsi); gsi_next (&tsi))
{
gimple *stmt = gsi_stmt (tsi);
if (is_gimple_omp (stmt))
break;
if (sender
&& is_gimple_assign (stmt)
&& TREE_CODE (gimple_assign_rhs1 (stmt)) == ADDR_EXPR
&& TREE_OPERAND (gimple_assign_rhs1 (stmt), 0) == sender)
continue;
gimple *copy = gimple_copy (stmt);
gsi_insert_before (&gsi, copy, GSI_SAME_STMT);
gimple_set_block (copy, fniniblock);
}
move_sese_region_to_fn (kern_cfun, single_succ (gpukernel->entry),
gpukernel->exit, inside_block);
cgraph_node *kcn = cgraph_node::get_create (kern_fndecl);
kcn->mark_force_output ();
cgraph_node *orig_child = cgraph_node::get (orig_child_fndecl);
hsa_register_kernel (kcn, orig_child);
cgraph_node::add_new_function (kern_fndecl, true);
push_cfun (kern_cfun);
cgraph_edge::rebuild_edges ();
/* Re-map any mention of the PARM_DECL of the original function to the
PARM_DECL of the new one.
TODO: It would be great if lowering produced references into the GPU
kernel decl straight away and we did not have to do this. */
struct grid_arg_decl_map adm;
adm.old_arg = old_parm_decl;
adm.new_arg = new_parm_decl;
basic_block bb;
FOR_EACH_BB_FN (bb, kern_cfun)
{
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
gimple *stmt = gsi_stmt (gsi);
struct walk_stmt_info wi;
memset (&wi, 0, sizeof (wi));
wi.info = &adm;
walk_gimple_op (stmt, grid_remap_kernel_arg_accesses, &wi);
}
}
pop_cfun ();
return;
}
/* Expand the parallel region tree rooted at REGION. Expansion
proceeds in depth-first order. Innermost regions are expanded
first. This way, parallel regions that require a new function to
be created (e.g., GIMPLE_OMP_PARALLEL) can be expanded without having any
internal dependencies in their body. */
static void
expand_omp (struct omp_region *region)
{
omp_any_child_fn_dumped = false;
while (region)
{
location_t saved_location;
gimple *inner_stmt = NULL;
/* First, determine whether this is a combined parallel+workshare
region. */
if (region->type == GIMPLE_OMP_PARALLEL)
determine_parallel_type (region);
else if (region->type == GIMPLE_OMP_TARGET)
grid_expand_target_grid_body (region);
if (region->type == GIMPLE_OMP_FOR
&& gimple_omp_for_combined_p (last_stmt (region->entry)))
inner_stmt = last_stmt (region->inner->entry);
if (region->inner)
expand_omp (region->inner);
saved_location = input_location;
if (gimple_has_location (last_stmt (region->entry)))
input_location = gimple_location (last_stmt (region->entry));
switch (region->type)
{
case GIMPLE_OMP_PARALLEL:
case GIMPLE_OMP_TASK:
expand_omp_taskreg (region);
break;
case GIMPLE_OMP_FOR:
expand_omp_for (region, inner_stmt);
break;
case GIMPLE_OMP_SECTIONS:
expand_omp_sections (region);
break;
case GIMPLE_OMP_SECTION:
/* Individual omp sections are handled together with their
parent GIMPLE_OMP_SECTIONS region. */
break;
case GIMPLE_OMP_SINGLE:
expand_omp_single (region);
break;
case GIMPLE_OMP_ORDERED:
{
gomp_ordered *ord_stmt
= as_a <gomp_ordered *> (last_stmt (region->entry));
if (omp_find_clause (gimple_omp_ordered_clauses (ord_stmt),
OMP_CLAUSE_DEPEND))
{
/* We'll expand these when expanding corresponding
worksharing region with ordered(n) clause. */
gcc_assert (region->outer
&& region->outer->type == GIMPLE_OMP_FOR);
region->ord_stmt = ord_stmt;
break;
}
}
/* FALLTHRU */
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_TASKGROUP:
case GIMPLE_OMP_CRITICAL:
case GIMPLE_OMP_TEAMS:
expand_omp_synch (region);
break;
case GIMPLE_OMP_ATOMIC_LOAD:
expand_omp_atomic (region);
break;
case GIMPLE_OMP_TARGET:
expand_omp_target (region);
break;
default:
gcc_unreachable ();
}
input_location = saved_location;
region = region->next;
}
if (omp_any_child_fn_dumped)
{
if (dump_file)
dump_function_header (dump_file, current_function_decl, dump_flags);
omp_any_child_fn_dumped = false;
}
}
/* Helper for build_omp_regions. Scan the dominator tree starting at
block BB. PARENT is the region that contains BB. If SINGLE_TREE is
true, the function ends once a single tree is built (otherwise, whole
forest of OMP constructs may be built). */
static void
build_omp_regions_1 (basic_block bb, struct omp_region *parent,
bool single_tree)
{
gimple_stmt_iterator gsi;
gimple *stmt;
basic_block son;
gsi = gsi_last_nondebug_bb (bb);
if (!gsi_end_p (gsi) && is_gimple_omp (gsi_stmt (gsi)))
{
struct omp_region *region;
enum gimple_code code;
stmt = gsi_stmt (gsi);
code = gimple_code (stmt);
if (code == GIMPLE_OMP_RETURN)
{
/* STMT is the return point out of region PARENT. Mark it
as the exit point and make PARENT the immediately
enclosing region. */
gcc_assert (parent);
region = parent;
region->exit = bb;
parent = parent->outer;
}
else if (code == GIMPLE_OMP_ATOMIC_STORE)
{
/* GIMPLE_OMP_ATOMIC_STORE is analogous to
GIMPLE_OMP_RETURN, but matches with
GIMPLE_OMP_ATOMIC_LOAD. */
gcc_assert (parent);
gcc_assert (parent->type == GIMPLE_OMP_ATOMIC_LOAD);
region = parent;
region->exit = bb;
parent = parent->outer;
}
else if (code == GIMPLE_OMP_CONTINUE)
{
gcc_assert (parent);
parent->cont = bb;
}
else if (code == GIMPLE_OMP_SECTIONS_SWITCH)
{
/* GIMPLE_OMP_SECTIONS_SWITCH is part of
GIMPLE_OMP_SECTIONS, and we do nothing for it. */
}
else
{
region = new_omp_region (bb, code, parent);
/* Otherwise... */
if (code == GIMPLE_OMP_TARGET)
{
switch (gimple_omp_target_kind (stmt))
{
case GF_OMP_TARGET_KIND_REGION:
case GF_OMP_TARGET_KIND_DATA:
case GF_OMP_TARGET_KIND_OACC_PARALLEL:
case GF_OMP_TARGET_KIND_OACC_KERNELS:
case GF_OMP_TARGET_KIND_OACC_DATA:
case GF_OMP_TARGET_KIND_OACC_HOST_DATA:
break;
case GF_OMP_TARGET_KIND_UPDATE:
case GF_OMP_TARGET_KIND_ENTER_DATA:
case GF_OMP_TARGET_KIND_EXIT_DATA:
case GF_OMP_TARGET_KIND_OACC_UPDATE:
case GF_OMP_TARGET_KIND_OACC_ENTER_EXIT_DATA:
case GF_OMP_TARGET_KIND_OACC_DECLARE:
/* ..., other than for those stand-alone directives... */
region = NULL;
break;
default:
gcc_unreachable ();
}
}
else if (code == GIMPLE_OMP_ORDERED
&& omp_find_clause (gimple_omp_ordered_clauses
(as_a <gomp_ordered *> (stmt)),
OMP_CLAUSE_DEPEND))
/* #pragma omp ordered depend is also just a stand-alone
directive. */
region = NULL;
/* ..., this directive becomes the parent for a new region. */
if (region)
parent = region;
}
}
if (single_tree && !parent)
return;
for (son = first_dom_son (CDI_DOMINATORS, bb);
son;
son = next_dom_son (CDI_DOMINATORS, son))
build_omp_regions_1 (son, parent, single_tree);
}
/* Builds the tree of OMP regions rooted at ROOT, storing it to
root_omp_region. */
static void
build_omp_regions_root (basic_block root)
{
gcc_assert (root_omp_region == NULL);
build_omp_regions_1 (root, NULL, true);
gcc_assert (root_omp_region != NULL);
}
/* Expands omp construct (and its subconstructs) starting in HEAD. */
void
omp_expand_local (basic_block head)
{
build_omp_regions_root (head);
if (dump_file && (dump_flags & TDF_DETAILS))
{
fprintf (dump_file, "\nOMP region tree\n\n");
dump_omp_region (dump_file, root_omp_region, 0);
fprintf (dump_file, "\n");
}
remove_exit_barriers (root_omp_region);
expand_omp (root_omp_region);
omp_free_regions ();
}
/* Scan the CFG and build a tree of OMP regions. Return the root of
the OMP region tree. */
static void
build_omp_regions (void)
{
gcc_assert (root_omp_region == NULL);
calculate_dominance_info (CDI_DOMINATORS);
build_omp_regions_1 (ENTRY_BLOCK_PTR_FOR_FN (cfun), NULL, false);
}
/* Main entry point for expanding OMP-GIMPLE into runtime calls. */
static unsigned int
execute_expand_omp (void)
{
build_omp_regions ();
if (!root_omp_region)
return 0;
if (dump_file)
{
fprintf (dump_file, "\nOMP region tree\n\n");
dump_omp_region (dump_file, root_omp_region, 0);
fprintf (dump_file, "\n");
}
remove_exit_barriers (root_omp_region);
expand_omp (root_omp_region);
if (flag_checking && !loops_state_satisfies_p (LOOPS_NEED_FIXUP))
verify_loop_structure ();
cleanup_tree_cfg ();
omp_free_regions ();
return 0;
}
/* OMP expansion -- the default pass, run before creation of SSA form. */
namespace {
const pass_data pass_data_expand_omp =
{
GIMPLE_PASS, /* type */
"ompexp", /* name */
OPTGROUP_OMP, /* optinfo_flags */
TV_NONE, /* tv_id */
PROP_gimple_any, /* properties_required */
PROP_gimple_eomp, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
0, /* todo_flags_finish */
};
class pass_expand_omp : public gimple_opt_pass
{
public:
pass_expand_omp (gcc::context *ctxt)
: gimple_opt_pass (pass_data_expand_omp, ctxt)
{}
/* opt_pass methods: */
virtual unsigned int execute (function *)
{
bool gate = ((flag_openacc != 0 || flag_openmp != 0
|| flag_openmp_simd != 0)
&& !seen_error ());
/* This pass always runs, to provide PROP_gimple_eomp.
But often, there is nothing to do. */
if (!gate)
return 0;
return execute_expand_omp ();
}
}; // class pass_expand_omp
} // anon namespace
gimple_opt_pass *
make_pass_expand_omp (gcc::context *ctxt)
{
return new pass_expand_omp (ctxt);
}
namespace {
const pass_data pass_data_expand_omp_ssa =
{
GIMPLE_PASS, /* type */
"ompexpssa", /* name */
OPTGROUP_OMP, /* optinfo_flags */
TV_NONE, /* tv_id */
PROP_cfg | PROP_ssa, /* properties_required */
PROP_gimple_eomp, /* properties_provided */
0, /* properties_destroyed */
0, /* todo_flags_start */
TODO_cleanup_cfg | TODO_rebuild_alias, /* todo_flags_finish */
};
class pass_expand_omp_ssa : public gimple_opt_pass
{
public:
pass_expand_omp_ssa (gcc::context *ctxt)
: gimple_opt_pass (pass_data_expand_omp_ssa, ctxt)
{}
/* opt_pass methods: */
virtual bool gate (function *fun)
{
return !(fun->curr_properties & PROP_gimple_eomp);
}
virtual unsigned int execute (function *) { return execute_expand_omp (); }
opt_pass * clone () { return new pass_expand_omp_ssa (m_ctxt); }
}; // class pass_expand_omp_ssa
} // anon namespace
gimple_opt_pass *
make_pass_expand_omp_ssa (gcc::context *ctxt)
{
return new pass_expand_omp_ssa (ctxt);
}
/* Called from tree-cfg.c::make_edges to create cfg edges for all relevant
GIMPLE_* codes. */
bool
omp_make_gimple_edges (basic_block bb, struct omp_region **region,
int *region_idx)
{
gimple *last = last_stmt (bb);
enum gimple_code code = gimple_code (last);
struct omp_region *cur_region = *region;
bool fallthru = false;
switch (code)
{
case GIMPLE_OMP_PARALLEL:
case GIMPLE_OMP_TASK:
case GIMPLE_OMP_FOR:
case GIMPLE_OMP_SINGLE:
case GIMPLE_OMP_TEAMS:
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_TASKGROUP:
case GIMPLE_OMP_CRITICAL:
case GIMPLE_OMP_SECTION:
case GIMPLE_OMP_GRID_BODY:
cur_region = new_omp_region (bb, code, cur_region);
fallthru = true;
break;
case GIMPLE_OMP_ORDERED:
cur_region = new_omp_region (bb, code, cur_region);
fallthru = true;
if (omp_find_clause (gimple_omp_ordered_clauses
(as_a <gomp_ordered *> (last)),
OMP_CLAUSE_DEPEND))
cur_region = cur_region->outer;
break;
case GIMPLE_OMP_TARGET:
cur_region = new_omp_region (bb, code, cur_region);
fallthru = true;
switch (gimple_omp_target_kind (last))
{
case GF_OMP_TARGET_KIND_REGION:
case GF_OMP_TARGET_KIND_DATA:
case GF_OMP_TARGET_KIND_OACC_PARALLEL:
case GF_OMP_TARGET_KIND_OACC_KERNELS:
case GF_OMP_TARGET_KIND_OACC_DATA:
case GF_OMP_TARGET_KIND_OACC_HOST_DATA:
break;
case GF_OMP_TARGET_KIND_UPDATE:
case GF_OMP_TARGET_KIND_ENTER_DATA:
case GF_OMP_TARGET_KIND_EXIT_DATA:
case GF_OMP_TARGET_KIND_OACC_UPDATE:
case GF_OMP_TARGET_KIND_OACC_ENTER_EXIT_DATA:
case GF_OMP_TARGET_KIND_OACC_DECLARE:
cur_region = cur_region->outer;
break;
default:
gcc_unreachable ();
}
break;
case GIMPLE_OMP_SECTIONS:
cur_region = new_omp_region (bb, code, cur_region);
fallthru = true;
break;
case GIMPLE_OMP_SECTIONS_SWITCH:
fallthru = false;
break;
case GIMPLE_OMP_ATOMIC_LOAD:
case GIMPLE_OMP_ATOMIC_STORE:
fallthru = true;
break;
case GIMPLE_OMP_RETURN:
/* In the case of a GIMPLE_OMP_SECTION, the edge will go
somewhere other than the next block. This will be
created later. */
cur_region->exit = bb;
if (cur_region->type == GIMPLE_OMP_TASK)
/* Add an edge corresponding to not scheduling the task
immediately. */
make_edge (cur_region->entry, bb, EDGE_ABNORMAL);
fallthru = cur_region->type != GIMPLE_OMP_SECTION;
cur_region = cur_region->outer;
break;
case GIMPLE_OMP_CONTINUE:
cur_region->cont = bb;
switch (cur_region->type)
{
case GIMPLE_OMP_FOR:
/* Mark all GIMPLE_OMP_FOR and GIMPLE_OMP_CONTINUE
succs edges as abnormal to prevent splitting
them. */
single_succ_edge (cur_region->entry)->flags |= EDGE_ABNORMAL;
/* Make the loopback edge. */
make_edge (bb, single_succ (cur_region->entry),
EDGE_ABNORMAL);
/* Create an edge from GIMPLE_OMP_FOR to exit, which
corresponds to the case that the body of the loop
is not executed at all. */
make_edge (cur_region->entry, bb->next_bb, EDGE_ABNORMAL);
make_edge (bb, bb->next_bb, EDGE_FALLTHRU | EDGE_ABNORMAL);
fallthru = false;
break;
case GIMPLE_OMP_SECTIONS:
/* Wire up the edges into and out of the nested sections. */
{
basic_block switch_bb = single_succ (cur_region->entry);
struct omp_region *i;
for (i = cur_region->inner; i ; i = i->next)
{
gcc_assert (i->type == GIMPLE_OMP_SECTION);
make_edge (switch_bb, i->entry, 0);
make_edge (i->exit, bb, EDGE_FALLTHRU);
}
/* Make the loopback edge to the block with
GIMPLE_OMP_SECTIONS_SWITCH. */
make_edge (bb, switch_bb, 0);
/* Make the edge from the switch to exit. */
make_edge (switch_bb, bb->next_bb, 0);
fallthru = false;
}
break;
case GIMPLE_OMP_TASK:
fallthru = true;
break;
default:
gcc_unreachable ();
}
break;
default:
gcc_unreachable ();
}
if (*region != cur_region)
{
*region = cur_region;
if (cur_region)
*region_idx = cur_region->entry->index;
else
*region_idx = 0;
}
return fallthru;
}
#include "gt-omp-expand.h"
|
RefCount.h | #ifndef MiscLib__REFCOUNT_HEADER__
#define MiscLib__REFCOUNT_HEADER__
#ifdef DOPARALLEL
#include <omp.h>
#endif
namespace MiscLib
{
class RefCount
{
public:
inline RefCount();
inline RefCount(const RefCount &);
inline unsigned int AddRef() const;
inline unsigned int Release() const;
inline RefCount &operator=(const RefCount &);
protected:
virtual ~RefCount();
private:
mutable unsigned int m_refCount;
};
RefCount::RefCount()
: m_refCount(1)
{}
RefCount::RefCount(const RefCount &)
: m_refCount(1)
{
// do not copy the ref count!
}
unsigned int RefCount::AddRef() const
{
//#pragma omp atomic
++m_refCount;
return m_refCount;
}
unsigned int RefCount::Release() const
{
if(m_refCount == 1)
{
//#pragma omp critical
{
if(m_refCount)
{
m_refCount = 0;
delete this;
}
}
return 0;
}
//#pragma omp atomic
--m_refCount;
return m_refCount;
}
RefCount &RefCount::operator=(const RefCount &)
{
// do not copy the ref count!!!
return *this;
}
};
#endif
|
gamma_index_ivfpq.h | /**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This faiss source code is licensed under the MIT license.
* https://github.com/facebookresearch/faiss/blob/master/LICENSE
*
*
* The works below are modified based on faiss:
* 1. Replace the static batch indexing with real time indexing
* 2. Add the fine-grained sort after PQ coarse sort
* 3. Add the numeric field and bitmap filters in the process of searching
*
* Modified works copyright 2019 The Gamma Authors.
*
* The modified codes are licensed under the Apache License, Version 2.0 license
* found in the LICENSE file in the root directory of this source tree.
*
*/
#ifndef GAMMA_INDEX_IVFPQ_H_
#define GAMMA_INDEX_IVFPQ_H_
#include <unistd.h>
#include <atomic>
#include "field_range_index.h"
#include "gamma_common_data.h"
#include "gamma_index.h"
#include "log.h"
#include "raw_vector.h"
#include "realtime_invert_index.h"
#include "faiss/AuxIndexStructures.h"
#include "faiss/FaissAssert.h"
#include "faiss/Heap.h"
#include "faiss/IndexIVF.h"
#include "faiss/IndexIVFPQ.h"
#include "faiss/InvertedLists.h"
#include "faiss/hamming.h"
#include "faiss/index_io.h"
#include "faiss/utils.h"
namespace tig_gamma {
/// statistics are robust to internal threading, but not if
/// IndexIVFPQ::search_preassigned is called by multiple threads
struct IndexIVFPQStats {
size_t nrefine; // nb of refines (IVFPQR)
size_t n_hamming_pass;
// nb of passed Hamming distance tests (for polysemous)
// timings measured with the CPU RTC
// on all threads
size_t search_cycles;
size_t refine_cycles; // only for IVFPQR
IndexIVFPQStats() { reset(); }
void reset(){};
};
// global var that collects them all
extern IndexIVFPQStats indexIVFPQ_stats;
// namespace {
using idx_t = faiss::Index::idx_t;
static uint64_t get_cycles() {
#ifdef __x86_64__
uint32_t high, low;
asm volatile("rdtsc \n\t" : "=a"(low), "=d"(high));
return ((uint64_t)high << 32) | (low);
#else
return 0;
#endif
}
#define TIC t0 = get_cycles()
#define TOC get_cycles() - t0
/** QueryTables manages the various ways of searching an
* IndexIVFPQ. The code contains a lot of branches, depending on:
* - metric_type: are we computing L2 or Inner product similarity?
* - by_residual: do we encode raw vectors or residuals?
* - use_precomputed_table: are x_R|x_C tables precomputed?
* - polysemous_ht: are we filtering with polysemous codes?
*/
struct QueryTables {
/*****************************************************
* General data from the IVFPQ
*****************************************************/
const faiss::IndexIVFPQ &ivfpq;
const faiss::IVFSearchParameters *params;
// copied from IndexIVFPQ for easier access
int d;
const faiss::ProductQuantizer &pq;
faiss::MetricType metric_type;
bool by_residual;
int use_precomputed_table;
int polysemous_ht;
// pre-allocated data buffers
float *sim_table, *sim_table_2;
float *residual_vec, *decoded_vec;
// single data buffer
std::vector<float> mem;
// for table pointers
std::vector<const float *> sim_table_ptrs;
explicit QueryTables(const faiss::IndexIVFPQ &ivfpq,
const faiss::IVFSearchParameters *params)
: ivfpq(ivfpq),
d(ivfpq.d),
pq(ivfpq.pq),
metric_type(ivfpq.metric_type),
by_residual(ivfpq.by_residual),
use_precomputed_table(ivfpq.use_precomputed_table) {
mem.resize(pq.ksub * pq.M * 2 + d * 2);
sim_table = mem.data();
sim_table_2 = sim_table + pq.ksub * pq.M;
residual_vec = sim_table_2 + pq.ksub * pq.M;
decoded_vec = residual_vec + d;
// for polysemous
polysemous_ht = ivfpq.polysemous_ht;
if (auto ivfpq_params =
dynamic_cast<const faiss::IVFPQSearchParameters *>(params)) {
polysemous_ht = ivfpq_params->polysemous_ht;
}
if (polysemous_ht != 0) {
q_code.resize(pq.code_size);
}
init_list_cycles = 0;
sim_table_ptrs.resize(pq.M);
}
/*****************************************************
* What we do when query is known
*****************************************************/
// field specific to query
const float *qi;
// query-specific intialization
void init_query(const float *qi) {
this->qi = qi;
if (metric_type == faiss::METRIC_INNER_PRODUCT)
init_query_IP();
else
init_query_L2();
if (!by_residual && polysemous_ht != 0) pq.compute_code(qi, q_code.data());
}
void init_query_IP() {
// precompute some tables specific to the query qi
pq.compute_inner_prod_table(qi, sim_table);
}
void init_query_L2() {
if (!by_residual) {
pq.compute_distance_table(qi, sim_table);
} else if (use_precomputed_table) {
pq.compute_inner_prod_table(qi, sim_table_2);
}
}
/*****************************************************
* When inverted list is known: prepare computations
*****************************************************/
// fields specific to list
long key;
float coarse_dis;
std::vector<uint8_t> q_code;
uint64_t init_list_cycles;
/// once we know the query and the centroid, we can prepare the
/// sim_table that will be used for accumulation
/// and dis0, the initial value
float precompute_list_tables() {
float dis0 = 0;
uint64_t t0;
TIC;
if (by_residual) {
if (metric_type == faiss::METRIC_INNER_PRODUCT)
dis0 = precompute_list_tables_IP();
else
dis0 = precompute_list_tables_L2();
}
init_list_cycles += TOC;
return dis0;
}
float precompute_list_table_pointers() {
float dis0 = 0;
uint64_t t0;
TIC;
if (by_residual) {
if (metric_type == faiss::METRIC_INNER_PRODUCT)
FAISS_THROW_MSG("not implemented");
else
dis0 = precompute_list_table_pointers_L2();
}
init_list_cycles += TOC;
return dis0;
}
/*****************************************************
* compute tables for inner prod
*****************************************************/
float precompute_list_tables_IP() {
// prepare the sim_table that will be used for accumulation
// and dis0, the initial value
ivfpq.quantizer->reconstruct(key, decoded_vec);
// decoded_vec = centroid
float dis0 = faiss::fvec_inner_product(qi, decoded_vec, d);
if (polysemous_ht) {
for (int i = 0; i < d; i++) {
residual_vec[i] = qi[i] - decoded_vec[i];
}
pq.compute_code(residual_vec, q_code.data());
}
return dis0;
}
/*****************************************************
* compute tables for L2 distance
*****************************************************/
float precompute_list_tables_L2() {
float dis0 = 0;
if (use_precomputed_table == 0 || use_precomputed_table == -1) {
ivfpq.quantizer->compute_residual(qi, residual_vec, key);
pq.compute_distance_table(residual_vec, sim_table);
if (polysemous_ht != 0) {
pq.compute_code(residual_vec, q_code.data());
}
} else if (use_precomputed_table == 1) {
dis0 = coarse_dis;
faiss::fvec_madd(pq.M * pq.ksub,
&ivfpq.precomputed_table[key * pq.ksub * pq.M], -2.0,
sim_table_2, sim_table);
if (polysemous_ht != 0) {
ivfpq.quantizer->compute_residual(qi, residual_vec, key);
pq.compute_code(residual_vec, q_code.data());
}
} else if (use_precomputed_table == 2) {
dis0 = coarse_dis;
const faiss::MultiIndexQuantizer *miq =
dynamic_cast<const faiss::MultiIndexQuantizer *>(ivfpq.quantizer);
FAISS_THROW_IF_NOT(miq);
const faiss::ProductQuantizer &cpq = miq->pq;
int Mf = pq.M / cpq.M;
const float *qtab = sim_table_2; // query-specific table
float *ltab = sim_table; // (output) list-specific table
long k = key;
for (size_t cm = 0; cm < cpq.M; cm++) {
// compute PQ index
int ki = k & ((uint64_t(1) << cpq.nbits) - 1);
k >>= cpq.nbits;
// get corresponding table
const float *pc =
&ivfpq.precomputed_table[(ki * pq.M + cm * Mf) * pq.ksub];
if (polysemous_ht == 0) {
// sum up with query-specific table
faiss::fvec_madd(Mf * pq.ksub, pc, -2.0, qtab, ltab);
ltab += Mf * pq.ksub;
qtab += Mf * pq.ksub;
} else {
for (size_t m = cm * Mf; m < (cm + 1) * Mf; m++) {
q_code[m] =
faiss::fvec_madd_and_argmin(pq.ksub, pc, -2, qtab, ltab);
pc += pq.ksub;
ltab += pq.ksub;
qtab += pq.ksub;
}
}
}
}
return dis0;
}
float precompute_list_table_pointers_L2() {
float dis0 = 0;
if (use_precomputed_table == 1) {
dis0 = coarse_dis;
const float *s = &ivfpq.precomputed_table[key * pq.ksub * pq.M];
for (size_t m = 0; m < pq.M; m++) {
sim_table_ptrs[m] = s;
s += pq.ksub;
}
} else if (use_precomputed_table == 2) {
dis0 = coarse_dis;
const faiss::MultiIndexQuantizer *miq =
dynamic_cast<const faiss::MultiIndexQuantizer *>(ivfpq.quantizer);
FAISS_THROW_IF_NOT(miq);
const faiss::ProductQuantizer &cpq = miq->pq;
int Mf = pq.M / cpq.M;
long k = key;
int m0 = 0;
for (size_t cm = 0; cm < cpq.M; cm++) {
int ki = k & ((uint64_t(1) << cpq.nbits) - 1);
k >>= cpq.nbits;
const float *pc =
&ivfpq.precomputed_table[(ki * pq.M + cm * Mf) * pq.ksub];
for (int m = m0; m < m0 + Mf; m++) {
sim_table_ptrs[m] = pc;
pc += pq.ksub;
}
m0 += Mf;
}
} else {
FAISS_THROW_MSG("need precomputed tables");
}
if (polysemous_ht) {
FAISS_THROW_MSG("not implemented");
// Not clear that it makes sense to implemente this,
// because it costs M * ksub, which is what we wanted to
// avoid with the tables pointers.
}
return dis0;
}
};
/*****************************************************
* Scaning the codes.
* The scanning functions call their favorite precompute_*
* function to precompute the tables they need.
*****************************************************/
template <typename IDType, bool store_pairs, class C,
faiss::MetricType METRIC_TYPE>
struct IVFPQScannerT : QueryTables {
const uint8_t *list_codes;
const IDType *list_ids;
size_t list_size;
explicit IVFPQScannerT(const faiss::IndexIVFPQ &ivfpq,
const faiss::IVFSearchParameters *params)
: QueryTables(ivfpq, params) {
FAISS_THROW_IF_NOT(pq.nbits == 8);
assert(METRIC_TYPE == metric_type);
}
float dis0;
void init_list(idx_t list_no, float coarse_dis, int mode) {
this->key = list_no;
this->coarse_dis = coarse_dis;
if (mode == 2) {
dis0 = precompute_list_tables();
} else if (mode == 1) {
dis0 = precompute_list_table_pointers();
}
}
/// tables are not precomputed, but pointers are provided to the
/// relevant X_c|x_r tables
size_t scan_list_with_pointer(size_t ncode, const uint8_t *codes,
const idx_t *ids, size_t k, float *heap_sim,
idx_t *heap_ids) const {
size_t nup = 0;
for (size_t j = 0; j < ncode; j++) {
float dis = dis0;
const float *tab = sim_table_2;
for (size_t m = 0; m < pq.M; m++) {
int ci = *codes++;
dis += sim_table_ptrs[m][ci] - 2 * tab[ci];
tab += pq.ksub;
}
if (C::cmp(heap_sim[0], dis)) {
faiss::heap_pop<C>(k, heap_sim, heap_ids);
long id = store_pairs ? (key << 32 | j) : ids[j];
faiss::heap_push<C>(k, heap_sim, heap_ids, dis, id);
nup++;
}
}
return nup;
}
/// nothing is precomputed: access residuals on-the-fly
size_t scan_on_the_fly_dist(size_t ncode, const uint8_t *codes,
const idx_t *ids, size_t k, float *heap_sim,
idx_t *heap_ids) const {
const float *dvec;
float dis0 = 0;
size_t nup = 0;
if (by_residual) {
if (METRIC_TYPE == faiss::METRIC_INNER_PRODUCT) {
ivfpq.quantizer->reconstruct(key, residual_vec);
dis0 = faiss::fvec_inner_product(residual_vec, qi, d);
} else {
ivfpq.quantizer->compute_residual(qi, residual_vec, key);
}
dvec = residual_vec;
} else {
dvec = qi;
dis0 = 0;
}
for (size_t j = 0; j < ncode; j++) {
pq.decode(codes, decoded_vec);
codes += pq.code_size;
float dis;
if (METRIC_TYPE == faiss::METRIC_INNER_PRODUCT) {
dis = dis0 + faiss::fvec_inner_product(decoded_vec, qi, d);
} else {
dis = faiss::fvec_L2sqr(decoded_vec, dvec, d);
}
if (C::cmp(heap_sim[0], dis)) {
faiss::heap_pop<C>(k, heap_sim, heap_ids);
long id = store_pairs ? (key << 32 | j) : ids[j];
faiss::heap_push<C>(k, heap_sim, heap_ids, dis, id);
nup++;
}
}
return nup;
}
/*****************************************************
* Scanning codes with polysemous filtering
*****************************************************/
template <class HammingComputer>
size_t scan_list_polysemous_hc(size_t ncode, const uint8_t *codes,
const idx_t *ids, size_t k, float *heap_sim,
idx_t *heap_ids) const {
int ht = ivfpq.polysemous_ht;
size_t n_hamming_pass = 0, nup = 0;
int code_size = pq.code_size;
HammingComputer hc(q_code.data(), code_size);
for (size_t j = 0; j < ncode; j++) {
const uint8_t *b_code = codes;
int hd = hc.hamming(b_code);
if (hd < ht) {
n_hamming_pass++;
float dis = dis0;
const float *tab = sim_table;
for (size_t m = 0; m < pq.M; m++) {
dis += tab[*b_code++];
tab += pq.ksub;
}
if (C::cmp(heap_sim[0], dis)) {
faiss::heap_pop<C>(k, heap_sim, heap_ids);
long id = store_pairs ? (key << 32 | j) : ids[j];
faiss::heap_push<C>(k, heap_sim, heap_ids, dis, id);
nup++;
}
}
codes += code_size;
}
#pragma omp critical
{ indexIVFPQ_stats.n_hamming_pass += n_hamming_pass; }
return nup;
}
size_t scan_list_polysemous(size_t ncode, const uint8_t *codes,
const idx_t *ids, size_t k, float *heap_sim,
idx_t *heap_ids) const {
switch (pq.code_size) {
#define HANDLE_CODE_SIZE(cs) \
case cs: \
return scan_list_polysemous_hc<faiss::HammingComputer##cs>( \
ncode, codes, ids, k, heap_sim, heap_ids); \
break
HANDLE_CODE_SIZE(4);
HANDLE_CODE_SIZE(8);
HANDLE_CODE_SIZE(16);
HANDLE_CODE_SIZE(20);
HANDLE_CODE_SIZE(32);
HANDLE_CODE_SIZE(64);
#undef HANDLE_CODE_SIZE
default:
if (pq.code_size % 8 == 0)
return scan_list_polysemous_hc<faiss::HammingComputerM8>(
ncode, codes, ids, k, heap_sim, heap_ids);
else
return scan_list_polysemous_hc<faiss::HammingComputerM4>(
ncode, codes, ids, k, heap_sim, heap_ids);
break;
}
}
};
template <faiss::MetricType METRIC_TYPE, bool store_pairs, class C,
int precompute_mode>
struct GammaIndexScanner : IVFPQScannerT<idx_t, store_pairs, C, METRIC_TYPE>,
faiss::InvertedListScanner {
GammaIndexScanner(const faiss::IndexIVFPQ &ivfpq)
: IVFPQScannerT<idx_t, store_pairs, C, METRIC_TYPE>(ivfpq, nullptr) {
docids_bitmap_ = nullptr;
range_index_ptr_ = nullptr;
raw_vec_ = nullptr;
}
size_t scan_list_with_table(size_t ncode, const uint8_t *codes,
const idx_t *ids, size_t k, float *heap_sim,
idx_t *heap_ids) const {
assert(this->pq.M % 4 == 0);
// set filter func
std::function<bool(int)> is_filterable;
if (range_index_ptr_ != nullptr) {
is_filterable = [this](int doc_id) -> bool {
return (bitmap::test(docids_bitmap_, doc_id) ||
(not range_index_ptr_->Has(doc_id)));
};
} else {
is_filterable = [this](int doc_id) -> bool {
return (bitmap::test(docids_bitmap_, doc_id));
};
}
// set compute distance func
std::function<float(const uint8_t *)> calc_dis;
if (this->pq.M % 4 == 0) {
calc_dis = [this](const uint8_t *codes) -> float {
float dis = this->dis0;
const float *tab = this->sim_table;
for (size_t m = 0; m < this->pq.M; m += 4) {
dis += tab[*codes++], tab += this->pq.ksub;
dis += tab[*codes++], tab += this->pq.ksub;
dis += tab[*codes++], tab += this->pq.ksub;
dis += tab[*codes++], tab += this->pq.ksub;
}
return dis;
};
} else {
calc_dis = [this](const uint8_t *codes) -> float {
float dis = this->dis0;
const float *tab = this->sim_table;
for (size_t m = 0; m < this->pq.M; m++) {
dis += tab[*codes++], tab += this->pq.ksub;
}
return dis;
};
}
int nup = 0;
#define HANDLE_ONE \
do { \
int doc_id = raw_vec_->vid2docid_[ids[j]]; \
if ((range_index_ptr_ != nullptr && \
(not range_index_ptr_->Has(doc_id))) || \
bitmap::test(docids_bitmap_, doc_id)) { \
codes += this->pq.M; /* increment pointer */ \
j++; /* increment j*/ \
continue; \
} \
\
float dis = this->dis0; \
const float *tab = this->sim_table; \
for (size_t m = 0; m < this->pq.M; m += 4) { \
dis += tab[*codes++], tab += this->pq.ksub; \
dis += tab[*codes++], tab += this->pq.ksub; \
dis += tab[*codes++], tab += this->pq.ksub; \
dis += tab[*codes++], tab += this->pq.ksub; \
} \
\
if (C::cmp(heap_sim[0], dis)) { \
faiss::heap_pop<C>(k, heap_sim, heap_ids); \
long id = ids[j]; \
faiss::heap_push<C>(k, heap_sim, heap_ids, dis, id); \
nup++; \
} \
\
j++; /* increment j */ \
} while (0)
size_t j = 0;
size_t loops = ncode / 8;
for (size_t i = 0; i < loops; i++) {
HANDLE_ONE; // 1
HANDLE_ONE; // 2
HANDLE_ONE; // 3
HANDLE_ONE; // 4
HANDLE_ONE; // 5
HANDLE_ONE; // 6
HANDLE_ONE; // 7
HANDLE_ONE; // 8
}
switch (ncode % 8) {
case 7:
HANDLE_ONE;
case 6:
HANDLE_ONE;
case 5:
HANDLE_ONE;
case 4:
HANDLE_ONE;
case 3:
HANDLE_ONE;
case 2:
HANDLE_ONE;
case 1:
HANDLE_ONE;
}
assert(j == ncode);
#undef HANDLE_ONE
return nup;
}
size_t scan_list_with_table(size_t ncode, const uint8_t **codes,
const idx_t *ids, size_t k, float *heap_sim,
idx_t *heap_ids) const {
int nup = 0;
assert(this->pq.M % 4 == 0);
#define HANDLE_ONE \
do { \
float dis = this->dis0; \
const float *tab = this->sim_table; \
const uint8_t *code = codes[j]; \
for (size_t m = 0; m < this->pq.M; m += 4) { \
dis += tab[*code++], tab += this->pq.ksub; \
dis += tab[*code++], tab += this->pq.ksub; \
dis += tab[*code++], tab += this->pq.ksub; \
dis += tab[*code++], tab += this->pq.ksub; \
} \
\
if (C::cmp(heap_sim[0], dis)) { \
faiss::heap_pop<C>(k, heap_sim, heap_ids); \
long id = ids[j]; \
faiss::heap_push<C>(k, heap_sim, heap_ids, dis, id); \
nup++; \
} \
\
j++; /* increment j */ \
} while (0)
size_t j = 0;
size_t loops = ncode / 8;
for (size_t i = 0; i < loops; i++) {
HANDLE_ONE; // 1
HANDLE_ONE; // 2
HANDLE_ONE; // 3
HANDLE_ONE; // 4
HANDLE_ONE; // 5
HANDLE_ONE; // 6
HANDLE_ONE; // 7
HANDLE_ONE; // 8
}
switch (ncode % 8) {
case 7:
HANDLE_ONE;
case 6:
HANDLE_ONE;
case 5:
HANDLE_ONE;
case 4:
HANDLE_ONE;
case 3:
HANDLE_ONE;
case 2:
HANDLE_ONE;
case 1:
HANDLE_ONE;
}
assert(j == ncode);
#undef HANDLE_ONE
return nup;
}
inline void set_query(const float *query) override {
this->init_query(query);
}
inline void set_search_condition(const GammaSearchCondition *condition) {
this->range_index_ptr_ = condition->range_query_result;
}
inline void set_list(idx_t list_no, float coarse_dis) override {
this->init_list(list_no, coarse_dis, precompute_mode);
}
inline float distance_to_code(const uint8_t *code) const override {
assert(precompute_mode == 2);
float dis = this->dis0;
const float *tab = this->sim_table;
for (size_t m = 0; m < this->pq.M; m++) {
dis += tab[*code++];
tab += this->pq.ksub;
}
return dis;
}
inline size_t scan_codes(size_t ncode, const uint8_t *codes, const idx_t *ids,
float *heap_sim, idx_t *heap_ids,
size_t k) const override {
if (this->polysemous_ht > 0) {
assert(precompute_mode == 2);
this->scan_list_polysemous(ncode, codes, ids, k, heap_sim, heap_ids);
} else if (precompute_mode == 2) {
this->scan_list_with_table(ncode, codes, ids, k, heap_sim, heap_ids);
} else if (precompute_mode == 1) {
this->scan_list_with_pointer(ncode, codes, ids, k, heap_sim, heap_ids);
} else if (precompute_mode == 0) {
this->scan_on_the_fly_dist(ncode, codes, ids, k, heap_sim, heap_ids);
} else {
FAISS_THROW_MSG("bad precomp mode");
}
return 0;
}
inline size_t scan_codes(size_t ncode, const uint8_t **codes,
const idx_t *ids, float *heap_sim, idx_t *heap_ids,
size_t k) {
if (precompute_mode == 2) {
this->scan_list_with_table(ncode, codes, ids, k, heap_sim, heap_ids);
} else {
FAISS_THROW_MSG("bad precomp mode");
}
return 0;
}
inline void SetVecFilter(const char *docids_bitmap,
const RawVector *raw_vec) {
if (docids_bitmap == nullptr) {
LOG(ERROR) << "docids_bitmap is NULL!";
return;
}
if (!docids_bitmap_) {
docids_bitmap_ = docids_bitmap;
}
if (!raw_vec_) {
raw_vec_ = raw_vec;
}
return;
}
const char *docids_bitmap_;
MultiRangeQueryResults *range_index_ptr_;
const RawVector *raw_vec_;
};
//} // anonymous namespace
struct RTInvertedLists : faiss::InvertedLists {
RTInvertedLists(realtime::RTInvertIndex *rt_invert_index_ptr, size_t nlist,
size_t code_size);
/*************************
* Read only functions */
// get the size of a list
size_t list_size(size_t list_no) const override;
/** get the codes for an inverted list
* must be released by release_codes
*
* @return codes size list_size * code_size
*/
const uint8_t *get_codes(size_t list_no) const override;
/** get the ids for an inverted list
* must be released by release_ids
*
* @return ids size list_size
*/
const idx_t *get_ids(size_t list_no) const override;
/*************************
* writing functions */
size_t add_entries(size_t list_no, size_t n_entry, const idx_t *ids,
const uint8_t *code) override;
void resize(size_t list_no, size_t new_size) override;
void update_entries(size_t list_no, size_t offset, size_t n_entry,
const idx_t *ids_in, const uint8_t *codes_in) override;
realtime::RTInvertIndex *rt_invert_index_ptr_;
};
/*************************************************************
* I/O macros
*
* we use macros so that we have a line number to report in abort
* (). This makes debugging a lot easier. The IOReader or IOWriter is
* always called f and thus is not passed in as a macro parameter.
**************************************************************/
#define WRITEANDCHECK(ptr, n) \
{ \
size_t ret = (*f)(ptr, sizeof(*(ptr)), n); \
FAISS_THROW_IF_NOT_FMT(ret == (n), "write error in %s: %ld != %ld (%s)", \
f->name.c_str(), ret, size_t(n), strerror(errno)); \
}
#define READANDCHECK(ptr, n) \
{ \
size_t ret = (*f)(ptr, sizeof(*(ptr)), n); \
FAISS_THROW_IF_NOT_FMT(ret == (n), "read error in %s: %ld != %ld (%s)", \
f->name.c_str(), ret, size_t(n), strerror(errno)); \
}
#define WRITE1(x) WRITEANDCHECK(&(x), 1)
#define READ1(x) READANDCHECK(&(x), 1)
#define WRITEVECTOR(vec) \
{ \
size_t size = (vec).size(); \
WRITEANDCHECK(&size, 1); \
WRITEANDCHECK((vec).data(), size); \
}
// will fail if we write 256G of data at once...
#define READVECTOR(vec) \
{ \
size_t size; \
READANDCHECK(&size, 1); \
FAISS_THROW_IF_NOT(size >= 0 && size < (1L << 40)); \
(vec).resize(size); \
READANDCHECK((vec).data(), size); \
}
/****************************************************************
* Write
*****************************************************************/
static void write_index_header(const faiss::Index *idx, faiss::IOWriter *f) {
WRITE1(idx->d);
WRITE1(idx->ntotal);
faiss::Index::idx_t dummy = 1 << 20;
WRITE1(dummy);
WRITE1(dummy);
WRITE1(idx->is_trained);
WRITE1(idx->metric_type);
}
static void write_ivf_header(const faiss::IndexIVF *ivf, faiss::IOWriter *f) {
write_index_header(ivf, f);
WRITE1(ivf->nlist);
WRITE1(ivf->nprobe);
faiss::write_index(ivf->quantizer, f);
WRITE1(ivf->maintain_direct_map);
WRITEVECTOR(ivf->direct_map);
}
static void read_index_header(faiss::Index *idx, faiss::IOReader *f) {
READ1(idx->d);
READ1(idx->ntotal);
faiss::Index::idx_t dummy;
READ1(dummy);
READ1(dummy);
READ1(idx->is_trained);
READ1(idx->metric_type);
idx->verbose = false;
}
static void read_ivf_header(
faiss::IndexIVF *ivf, faiss::IOReader *f,
std::vector<std::vector<faiss::Index::idx_t>> *ids = nullptr) {
read_index_header(ivf, f);
READ1(ivf->nlist);
READ1(ivf->nprobe);
ivf->quantizer = faiss::read_index(f);
ivf->own_fields = true;
if (ids) { // used in legacy "Iv" formats
ids->resize(ivf->nlist);
for (size_t i = 0; i < ivf->nlist; i++) READVECTOR((*ids)[i]);
}
READ1(ivf->maintain_direct_map);
READVECTOR(ivf->direct_map);
}
static void write_ProductQuantizer(const faiss::ProductQuantizer *pq,
faiss::IOWriter *f) {
WRITE1(pq->d);
WRITE1(pq->M);
WRITE1(pq->nbits);
WRITEVECTOR(pq->centroids);
}
static void read_ProductQuantizer(faiss::ProductQuantizer *pq,
faiss::IOReader *f) {
READ1(pq->d);
READ1(pq->M);
READ1(pq->nbits);
pq->set_derived_values();
READVECTOR(pq->centroids);
}
// namespace {
struct FileIOReader : faiss::IOReader {
FILE *f = nullptr;
bool need_close = false;
FileIOReader(FILE *rf) : f(rf) {}
FileIOReader(const char *fname) {
name = fname;
f = fopen(fname, "rb");
FAISS_THROW_IF_NOT_FMT(f, "could not open %s for reading: %s", fname,
strerror(errno));
need_close = true;
}
~FileIOReader() override {
if (need_close) {
int ret = fclose(f);
if (ret != 0) { // we cannot raise and exception in the destructor
fprintf(stderr, "file %s close error: %s", name.c_str(),
strerror(errno));
}
}
}
size_t operator()(void *ptr, size_t size, size_t nitems) override {
return fread(ptr, size, nitems, f);
}
int fileno() override { return ::fileno(f); }
};
struct FileIOWriter : faiss::IOWriter {
FILE *f = nullptr;
bool need_close = false;
FileIOWriter(FILE *wf) : f(wf) {}
FileIOWriter(const char *fname) {
name = fname;
f = fopen(fname, "wb");
FAISS_THROW_IF_NOT_FMT(f, "could not open %s for writing: %s", fname,
strerror(errno));
need_close = true;
}
~FileIOWriter() override {
if (need_close) {
int ret = fclose(f);
if (ret != 0) {
// we cannot raise and exception in the destructor
fprintf(stderr, "file %s close error: %s", name.c_str(),
strerror(errno));
}
}
}
size_t operator()(const void *ptr, size_t size, size_t nitems) override {
return fwrite(ptr, size, nitems, f);
}
int fileno() override { return ::fileno(f); }
};
// } // anonymous namespace
struct GammaIVFPQIndex : GammaIndex, faiss::IndexIVFPQ {
GammaIVFPQIndex(faiss::Index *quantizer, size_t d, size_t nlist, size_t M,
size_t nbits_per_idx, const char *docids_bitmap,
RawVector *raw_vec, int nprobe);
faiss::InvertedListScanner *get_InvertedListScanner(
bool store_pairs) const override;
int Indexing() override;
int AddRTVecsToIndex() override;
bool Add(int n, const float *vec) override;
int Search(const VectorQuery *query, const GammaSearchCondition *condition,
VectorResult &result) override;
void search_preassigned(int n, const float *x,
const GammaSearchCondition *condition,
const idx_t *assign, const float *centroid_dis,
float *distances, idx_t *labels, int *total,
bool store_pairs,
const faiss::IVFSearchParameters *params = nullptr);
// assign the vectors, then call search_preassign
void SearchIVFPQ(int n, const float *x, const GammaSearchCondition *condition,
float *distances, idx_t *labels, int *total);
void SearchDirectly(int n, const float *x,
const GammaSearchCondition *condition, float *distances,
idx_t *labels, int *total);
long GetTotalMemBytes() override {
if (!rt_invert_index_ptr_) {
return 0;
}
return rt_invert_index_ptr_->GetTotalMemBytes();
}
int Dump(const std::string &dir) override {
if (!rt_invert_index_ptr_) {
LOG(INFO) << "realtime invert index ptr is null";
return -1;
}
if (!this->is_trained) {
LOG(INFO) << "gamma index is not trained, skip dumping";
return 0;
}
string info_file = dir + "/gamma_index.info";
faiss::IOWriter *f = new FileIOWriter(info_file.c_str());
const IndexIVFPQ *ivpq = static_cast<const IndexIVFPQ *>(this);
write_ivf_header(ivpq, f);
WRITE1(ivpq->by_residual);
WRITE1(ivpq->code_size);
tig_gamma::write_ProductQuantizer(&ivpq->pq, f);
delete f;
LOG(INFO) << "dump: d=" << ivpq->d << ", ntotal=" << ivpq->ntotal
<< ", is_trained=" << ivpq->is_trained
<< ", metric_type=" << ivpq->metric_type
<< ", nlist=" << ivpq->nlist << ", nprobe=" << ivpq->nprobe
<< ", maintain_direct_map=" << ivpq->maintain_direct_map
<< ", by_residual=" << ivpq->by_residual
<< ", code_size=" << ivpq->code_size << ", pq: d=" << ivpq->pq.d
<< ", M=" << ivpq->pq.M << ", nbits=" << ivpq->pq.nbits;
if (indexed_vec_count_ <= 0) {
LOG(INFO) << "no vector is indexed, do not need dump";
return 0;
}
return rt_invert_index_ptr_->Dump(dir, indexed_vec_count_ - 1);
}
int Load(const std::vector<std::string> &index_dirs) {
if (!rt_invert_index_ptr_) {
return -1;
}
string info_file = index_dirs[index_dirs.size() - 1] + "/gamma_index.info";
if (access(info_file.c_str(), F_OK) != 0) {
LOG(INFO) << info_file << " isn't existed, skip loading";
return 0; // it should train again after load
}
faiss::IOReader *f = new FileIOReader(info_file.c_str());
IndexIVFPQ *ivpq = static_cast<IndexIVFPQ *>(this);
read_ivf_header(ivpq, f, nullptr); // not legacy
READ1(ivpq->by_residual);
READ1(ivpq->code_size);
read_ProductQuantizer(&ivpq->pq, f);
// precomputed table not stored. It is cheaper to recompute it
ivpq->use_precomputed_table = 0;
if (ivpq->by_residual) ivpq->precompute_table();
delete f;
if (!this->is_trained) {
LOG(ERROR) << "unexpected, gamma index information is loaded, but it "
"isn't trained";
return 0; // it should train again after load
}
indexed_vec_count_ = rt_invert_index_ptr_->Load(index_dirs);
LOG(INFO) << "load: d=" << ivpq->d << ", ntotal=" << ivpq->ntotal
<< ", is_trained=" << ivpq->is_trained
<< ", metric_type=" << ivpq->metric_type
<< ", nlist=" << ivpq->nlist << ", nprobe=" << ivpq->nprobe
<< ", maintain_direct_map=" << ivpq->maintain_direct_map
<< ", by_residual=" << ivpq->by_residual
<< ", code_size=" << ivpq->code_size << ", pq: d=" << ivpq->pq.d
<< ", M=" << ivpq->pq.M << ", nbits=" << ivpq->pq.nbits
<< ", indexed vector count=" << indexed_vec_count_;
return indexed_vec_count_;
}
int indexed_vec_count_;
realtime::RTInvertIndex *rt_invert_index_ptr_;
#ifdef PERFORMANCE_TESTING
std::atomic<uint64_t> search_count_;
#endif
};
} // namespace tig_gamma
#endif
|
simd_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -verify %s
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -verify %s
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp simd'}}
#pragma omp simd
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp simd'}}
#pragma omp simd foo
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp simd'}}
#pragma omp simd safelen(4)
void test_no_clause() {
int i;
#pragma omp simd
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{statement after '#pragma omp simd' must be a for loop}}
#pragma omp simd
++i;
}
void test_branch_protected_scope() {
int i = 0;
L1:
++i;
int x[24];
#pragma omp 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 simd' are ignored}}
#pragma omp 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 simd' are ignored}}
#pragma omp simd;
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{unexpected OpenMP clause 'firstprivate' in directive '#pragma omp simd'}}
// expected-warning@+1 {{extra tokens at the end of '#pragma omp simd' are ignored}}
#pragma omp simd firstprivate(x);
for (i = 0; i < 16; ++i)
;
// expected-warning@+1 {{extra tokens at the end of '#pragma omp simd' are ignored}}
#pragma omp simd private(x);
for (i = 0; i < 16; ++i)
;
// expected-warning@+1 {{extra tokens at the end of '#pragma omp simd' are ignored}}
#pragma omp simd, private(x);
for (i = 0; i < 16; ++i)
;
}
extern int foo();
void test_safelen() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp simd safelen
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd safelen()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp simd safelen 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(4
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(4,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(4, )
for (i = 0; i < 16; ++i)
;
// xxpected-error@+1 {{expected expression}}
#pragma omp simd safelen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(4 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp simd safelen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd safelen(4, 8)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp simd safelen(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp simd safelen(foo())
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp simd safelen(-5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp simd safelen(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp simd safelen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_simdlen() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp simd simdlen
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd simdlen()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp simd simdlen 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(4
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(4,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(4, )
for (i = 0; i < 16; ++i)
;
#pragma omp simd simdlen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(4 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp simd simdlen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp simd simdlen(4, 8)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp simd simdlen(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp simd simdlen(foo())
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp simd simdlen(-5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp simd simdlen(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp simd simdlen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_safelen_simdlen() {
int i;
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp simd simdlen(6) safelen(5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp simd safelen(5) simdlen(6)
for (i = 0; i < 16; ++i)
;
}
void test_collapse() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp 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 simd collapse(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp 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 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 simd collapse(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp 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 simd collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp 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 simd collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp 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 simd collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp simd', but found only 1}}
// xxpected-error@+1 {{expected expression}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp simd collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp 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 simd collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp 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 simd collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp simd', but found only 1}}
#pragma omp 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 simd collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp simd', but found only 1}}
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp simd collapse(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp 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 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 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 simd collapse(5 - 5)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as reduction}}
#pragma omp parallel
#pragma omp simd collapse(2) reduction(+ : i)
for (i = 0; i < 16; ++i)
// expected-note@+1 {{variable with automatic storage duration is predetermined as private; perhaps you forget to enclose 'omp for' directive into a parallel or another task region?}}
for (int j = 0; j < 16; ++j)
// expected-error@+2 2 {{reduction variable must be shared}}
// expected-error@+1 {{OpenMP constructs may not be nested inside a simd region}}
#pragma omp for reduction(+ : i, j)
for (int k = 0; k < 16; ++k)
i += j;
#pragma omp parallel
#pragma omp for
for (i = 0; i < 16; ++i)
for (int j = 0; j < 16; ++j)
#pragma omp simd reduction(+ : i, j)
for (int k = 0; k < 16; ++k)
i += j;
}
void test_linear() {
int i;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd linear(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd linear(,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp simd linear(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd linear()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd linear(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp simd linear(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp simd linear(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp simd linear(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp simd linear(x, y, z)
for (i = 0; i < 16; ++i)
;
int x, y;
// expected-error@+1 {{expected expression}}
#pragma omp simd linear(x :)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd linear(x :, )
for (i = 0; i < 16; ++i)
;
#pragma omp simd linear(x : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp simd linear(x : 2 * 2)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd linear(x : 1, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd linear(x : 1, y, z : 1)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be linear}}
#pragma omp simd linear(x) linear(x)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as private}}
// expected-error@+1 {{private variable cannot be linear}}
#pragma omp simd private(x) linear(x)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be private}}
#pragma omp simd linear(x) private(x)
for (i = 0; i < 16; ++i)
;
// expected-warning@+1 {{zero linear step (x and other variables in clause should probably be const)}}
#pragma omp simd linear(x, y : 0)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be lastprivate}}
#pragma omp simd linear(x) lastprivate(x)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as lastprivate}}
// expected-error@+1 {{lastprivate variable cannot be linear}}
#pragma omp simd lastprivate(x) linear(x)
for (i = 0; i < 16; ++i)
;
}
void test_aligned() {
int i;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd aligned(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd aligned(,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp simd aligned(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd aligned()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd aligned(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp simd aligned(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp simd aligned(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
int *x, y, z[25]; // expected-note 4 {{'y' defined here}}
#pragma omp simd aligned(x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd aligned(z)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd aligned(x :)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd aligned(x :, )
for (i = 0; i < 16; ++i)
;
#pragma omp simd aligned(x : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp simd aligned(x : 2 * 2)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd aligned(x : 1, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp simd aligned(x : 1, y, z : 1)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as aligned}}
// expected-error@+1 {{a variable cannot appear in more than one aligned clause}}
#pragma omp simd aligned(x) aligned(z, x)
for (i = 0; i < 16; ++i)
;
// expected-note@+3 {{defined as aligned}}
// expected-error@+2 {{a variable cannot appear in more than one aligned clause}}
// expected-error@+1 2 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp simd aligned(x, y, z) aligned(y, z)
for (i = 0; i < 16; ++i)
;
}
void test_private() {
int i;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp 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 simd private(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 2 {{expected expression}}
#pragma omp simd private(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd private()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd private(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp simd private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp simd private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp simd private(x, y, z)
for (i = 0; i < 16; ++i) {
x = y * i + z;
}
}
void test_firstprivate() {
int i;
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 {{unexpected OpenMP clause 'firstprivate' in directive '#pragma omp simd'}}
// expected-error@+1 {{expected expression}}
#pragma omp simd firstprivate(
for (i = 0; i < 16; ++i)
;
}
void test_lastprivate() {
int i;
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp 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 simd lastprivate(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 2 {{expected expression}}
#pragma omp simd lastprivate(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd lastprivate()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd lastprivate(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp simd lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp simd lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp simd lastprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_reduction() {
int i, x, y;
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 {{expected identifier}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp simd reduction(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected identifier}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp simd reduction()
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp simd reduction(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected identifier}}
#pragma omp simd reduction( : x)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 {{expected identifier}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp simd reduction(,
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 {{expected expression}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp simd reduction(+
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
//
// expected-error@+1 {{expected expression}}
#pragma omp simd reduction(+:
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd reduction(+ :)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd reduction(+ :, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp simd reduction(+ : x, + : y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected identifier}}
#pragma omp simd reduction(% : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(+ : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(* : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(- : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(& : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(| : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(^ : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(&& : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(|| : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(max : x)
for (i = 0; i < 16; ++i)
;
#pragma omp simd reduction(min : x)
for (i = 0; i < 16; ++i)
;
struct X {
int x;
};
struct X X;
// expected-error@+1 {{expected variable name}}
#pragma omp simd reduction(+ : X.x)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp simd reduction(+ : x + x)
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 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 simd
for (double fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
}
void linear_modifiers(int argc) {
int f;
#pragma omp simd linear(f)
for (int k = 0; k < argc; ++k) ++k;
#pragma omp simd linear(val(f))
for (int k = 0; k < argc; ++k) ++k;
#pragma omp simd linear(uval(f)) // expected-error {{expected 'val' modifier}}
for (int k = 0; k < argc; ++k) ++k;
#pragma omp simd linear(ref(f)) // expected-error {{expected 'val' modifier}}
for (int k = 0; k < argc; ++k) ++k;
#pragma omp simd linear(foo(f)) // expected-error {{expected 'val' modifier}}
for (int k = 0; k < argc; ++k) ++k;
}
|
Example_simple_lock.1.c | /*
* @@name: simple_lock.1c
* @@type: C
* @@compilable: yes
* @@linkable: yes
* @@expect: success
*/
#include <stdio.h>
#include <omp.h>
void skip(int i) {}
void work(int i) {}
int main()
{
omp_lock_t lck;
int id;
omp_init_lock(&lck);
#pragma omp parallel shared(lck) private(id)
{
id = omp_get_thread_num();
omp_set_lock(&lck);
/* only one thread at a time can execute this printf */
printf("My thread id is %d.\n", id);
omp_unset_lock(&lck);
while (! omp_test_lock(&lck)) {
skip(id); /* we do not yet have the lock,
so we must do something else */
}
work(id); /* we now have the lock
and can do the work */
omp_unset_lock(&lck);
}
omp_destroy_lock(&lck);
return 0;
}
|
info.c | // RUN: %libomptarget-compile-nvptx64-nvidia-cuda -gline-tables-only && env LIBOMPTARGET_INFO=31 %libomptarget-run-nvptx64-nvidia-cuda 2>&1 | %fcheck-nvptx64-nvidia-cuda -allow-empty -check-prefix=INFO
#include <stdio.h>
#include <omp.h>
#define N 64
extern void __tgt_set_info_flag(unsigned);
int main() {
int A[N];
int B[N];
int C[N];
int val = 1;
// INFO: CUDA device 0 info: Device supports up to {{.*}} CUDA blocks and {{.*}} threads with a warp size of {{.*}}
// INFO: Libomptarget device 0 info: Entering OpenMP data region at info.c:{{[0-9]+}}:1 with 3 arguments:
// INFO: Libomptarget device 0 info: alloc(A[0:64])[256]
// INFO: Libomptarget device 0 info: tofrom(B[0:64])[256]
// INFO: Libomptarget device 0 info: to(C[0:64])[256]
// INFO: Libomptarget device 0 info: Creating new map entry with HstPtrBegin={{.*}}, TgtPtrBegin={{.*}}, Size=256, Name=A[0:64]
// INFO: Libomptarget device 0 info: Creating new map entry with HstPtrBegin={{.*}}, TgtPtrBegin={{.*}}, Size=256, Name=B[0:64]
// INFO: Libomptarget device 0 info: Creating new map entry with HstPtrBegin={{.*}}, TgtPtrBegin={{.*}}, Size=256, Name=C[0:64]
// INFO: Libomptarget device 0 info: OpenMP Host-Device pointer mappings after block at info.c:{{[0-9]+}}:1:
// INFO: Libomptarget device 0 info: Host Ptr Target Ptr Size (B) RefCount Declaration
// INFO: Libomptarget device 0 info: {{.*}} {{.*}} 256 1 C[0:64] at info.c:{{[0-9]+}}:7
// INFO: Libomptarget device 0 info: {{.*}} {{.*}} 256 1 B[0:64] at info.c:{{[0-9]+}}:7
// INFO: Libomptarget device 0 info: {{.*}} {{.*}} 256 1 A[0:64] at info.c:{{[0-9]+}}:7
// INFO: Libomptarget device 0 info: Entering OpenMP kernel at info.c:{{[0-9]+}}:1 with 1 arguments:
// INFO: Libomptarget device 0 info: firstprivate(val)[4]
// INFO: CUDA device 0 info: Launching kernel {{.*}} with {{.*}} and {{.*}} threads in {{.*}} mode
// INFO: Libomptarget device 0 info: OpenMP Host-Device pointer mappings after block at info.c:{{[0-9]+}}:1:
// INFO: Libomptarget device 0 info: Host Ptr Target Ptr Size (B) RefCount Declaration
// INFO: Libomptarget device 0 info: 0x{{.*}} 0x{{.*}} 256 1 C[0:64] at info.c:{{[0-9]+}}:7
// INFO: Libomptarget device 0 info: 0x{{.*}} 0x{{.*}} 256 1 B[0:64] at info.c:{{[0-9]+}}:7
// INFO: Libomptarget device 0 info: 0x{{.*}} 0x{{.*}} 256 1 A[0:64] at info.c:{{[0-9]+}}:7
// INFO: Libomptarget device 0 info: Exiting OpenMP data region at info.c:{{[0-9]+}}:1
// INFO: Libomptarget device 0 info: Removing map entry with HstPtrBegin={{.*}}, TgtPtrBegin={{.*}}, Size=256, Name=C[0:64]
// INFO: Libomptarget device 0 info: Removing map entry with HstPtrBegin={{.*}}, TgtPtrBegin={{.*}}, Size=256, Name=B[0:64]
// INFO: Libomptarget device 0 info: Removing map entry with HstPtrBegin={{.*}}, TgtPtrBegin={{.*}}, Size=256, Name=A[0:64]
#pragma omp target data map(alloc:A[0:N]) map(tofrom:B[0:N]) map(to:C[0:N])
#pragma omp target firstprivate(val)
{ val = 1; }
__tgt_set_info_flag(0x0);
// INFO-NOT: Libomptarget device 0 info: {{.*}}
#pragma omp target
{ }
return 0;
}
|
lapl_ss.c | #include <xmmintrin.h>
#include "defs.h"
/*
* Convert to super-site packed format
*/
void
to_supersite(supersite *ssarr, float *arr) {
for(int y=0; y<Ly; y++)
for(int x=0; x<Lx/4; x++) {
int vv = x + (Lx/4)*y;
int v = x + (Lx)*y;
ssarr[vv].site4[0] = arr[v+0*Lx/4];
ssarr[vv].site4[1] = arr[v+1*Lx/4];
ssarr[vv].site4[2] = arr[v+2*Lx/4];
ssarr[vv].site4[3] = arr[v+3*Lx/4];
}
return;
}
/*
* Convert from super-site packed format
*/
void
from_supersite(float *arr, supersite *ssarr) {
for(int y=0; y<Ly; y++)
for(int x=0; x<Lx/4; x++) {
int vv = x + (Lx/4)*y;
int v = x + (Lx)*y;
arr[v+0*Lx/4] = ssarr[vv].site4[0];
arr[v+1*Lx/4] = ssarr[vv].site4[1];
arr[v+2*Lx/4] = ssarr[vv].site4[2];
arr[v+3*Lx/4] = ssarr[vv].site4[3];
}
return;
}
/*
* Single iteration of lapl equation on super-site packed arrays
* Super-site packing helps in vectorization
*/
void
lapl_iter_supersite(supersite *out, float sigma, supersite *in)
{
#pragma omp parallel firstprivate(out, in, sigma)
{
float delta = sigma / (1+4*sigma);
float norm = 1./(1+4*sigma);
__m128 register vnorm = _mm_load1_ps(&norm);
__m128 register vdelta = _mm_load1_ps(&delta);
/* Do lapl iteration on volume, ommiting boundaries in x-direction */
#pragma omp for nowait
for(int y=0; y<Ly; y++)
for(int x=1; x<Lx/4-1; x++) {
int lx = Lx/4;
int v00 = x+y*lx;
int v0p = v00+1;
int v0m = v00-1;
int vp0 = x + ((y+1)%Ly)*lx;
int vm0 = x + ((Ly+(y-1))%Ly)*lx;
__m128 register in00 = _mm_load_ps(&in[v00].site4[0]);
__m128 register in0p = _mm_load_ps(&in[v0p].site4[0]);
__m128 register in0m = _mm_load_ps(&in[v0m].site4[0]);
__m128 register inp0 = _mm_load_ps(&in[vp0].site4[0]);
__m128 register inm0 = _mm_load_ps(&in[vm0].site4[0]);
__m128 register hop = _mm_add_ps(inm0, inp0);
hop = _mm_add_ps(hop, in0p);
hop = _mm_add_ps(hop, in0m);
hop = _mm_mul_ps(hop, vdelta);
__m128 register dia = _mm_mul_ps(vnorm, in00);
hop = _mm_add_ps(dia, hop);
_mm_store_ps(&out[v00].site4[0], hop);
}
/* Do lapl iteration on x = 0 boundary sites */
#pragma omp for nowait
for(int y=0; y<Ly; y++) {
int lx = Lx/4;
int x = 0;
int v00 = x+y*lx;
int v0p = v00+1;
int v0m = lx-1+y*lx;
int vp0 = x + ((y+1)%Ly)*lx;
int vm0 = x + ((Ly+(y-1))%Ly)*lx;
__m128 register in00 = _mm_load_ps(&in[v00].site4[0]);
__m128 register in0p = _mm_load_ps(&in[v0p].site4[0]);
__m128 register in0m = _mm_load_ps(&in[v0m].site4[0]);
in0m = _mm_shuffle_ps(in0m, in0m, _MM_SHUFFLE(2,1,0,3));
__m128 register inp0 = _mm_load_ps(&in[vp0].site4[0]);
__m128 register inm0 = _mm_load_ps(&in[vm0].site4[0]);
__m128 register hop = _mm_add_ps(inm0, inp0);
hop = _mm_add_ps(hop, in0p);
hop = _mm_add_ps(hop, in0m);
hop = _mm_mul_ps(hop, vdelta);
__m128 register dia = _mm_mul_ps(vnorm, in00);
hop = _mm_add_ps(dia, hop);
_mm_store_ps(&out[v00].site4[0], hop);
}
/* Do lapl iteration on x = Lx-1 boundary sites */
#pragma omp for nowait
for(int y=0; y<Ly; y++) {
int lx = Lx/4;
int x = lx-1;
int v00 = x+y*lx;
int v0p = y*lx;
int v0m = v00-1;
int vp0 = x + ((y+1)%Ly)*lx;
int vm0 = x + ((Ly+(y-1))%Ly)*lx;
__m128 register in00 = _mm_load_ps(&in[v00].site4[0]);
__m128 register in0p = _mm_load_ps(&in[v0p].site4[0]);
in0p = _mm_shuffle_ps(in0p, in0p, _MM_SHUFFLE(0,3,2,1));
__m128 register in0m = _mm_load_ps(&in[v0m].site4[0]);
__m128 register inp0 = _mm_load_ps(&in[vp0].site4[0]);
__m128 register inm0 = _mm_load_ps(&in[vm0].site4[0]);
__m128 register hop = _mm_add_ps(inm0, inp0);
hop = _mm_add_ps(hop, in0p);
hop = _mm_add_ps(hop, in0m);
hop = _mm_mul_ps(hop, vdelta);
__m128 register dia = _mm_mul_ps(vnorm, in00);
hop = _mm_add_ps(dia, hop);
_mm_store_ps(&out[v00].site4[0], hop);
}
}
}
|
DRB061-matrixvector1-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
Matrix-vector multiplication: outer-level loop parallelization
*/
#define N 100
#include <omp.h>
double a[100][100];
double v[100];
double v_out[100];
int init()
{
int i;
int j;
int k;
#pragma omp parallel for private (i,j)
for (i = 0; i <= 99; i += 1) {
#pragma omp parallel for private (j)
for (j = 0; j <= 99; j += 1) {
a[i][j] = (i * j);
}
v_out[i] = (i * j);
v[i] = (i * j);
}
return 0;
}
int mv()
{
int i;
int j;
#pragma omp parallel for private (i,j)
for (i = 0; i <= 99; i += 1) {
float sum = 0.0;
#pragma omp parallel for private (j) reduction (+:sum)
for (j = 0; j <= 99; j += 1) {
sum += a[i][j] * v[j];
}
v_out[i] = sum;
}
return 0;
}
int print()
{
int i;
int j;
int k;
for (i = 0; i <= 99; i += 1) {
for (j = 0; j <= 99; j += 1) {
printf("%lf\n",a[i][j]);
}
printf("%lf\n",v_out[i]);
printf("%lf\n",v[i]);
}
return 0;
}
int main()
{
init();
mv();
print();
return 0;
}
|
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