source stringlengths 3 92 | c stringlengths 26 2.25M |
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concat_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) 2020, OPEN AI LAB
* Author: jjzeng@openailab.com
*/
#include <math.h>
#include "sys_port.h"
#include "module.h"
#include "tengine_errno.h"
#include "tengine_log.h"
#include "tengine_ir.h"
#include "../../cpu_node_ops.h"
#include "tengine_op.h"
#include "concat_param.h"
#include "compiler_fp16.h"
struct shape_dim
{
int dim[4];
float scale;
int zero;
};
struct concat_op_param
{
struct shape_dim* input_shape;
int input_counts;
int input_dim;
struct shape_dim output_shape;
int output_dim;
int axis;
float out_scale;
void** input_data;
};
static int ref_concat_fp32(const float** in_data, float* out_data, const struct concat_op_param* param)
{
int axis = param->axis;
int concat_dim = 0;
for (int ii = 0; ii < param->input_counts; ++ii)
{
concat_dim += param->input_shape[ii].dim[axis];
}
if (concat_dim != param->output_shape.dim[axis])
{
fprintf(stderr, "concant dimensions[%d] is not same output[%d]\n", concat_dim, param->output_shape.dim[axis]);
return -1;
}
int out_size, in_size;
out_size = 1;
for (int ii = 0; ii < axis; ++ii)
{
out_size *= param->output_shape.dim[ii];
}
in_size = 1;
for (int ii = axis + 1; ii < param->output_dim; ++ii)
{
in_size *= param->input_shape[0].dim[ii];
}
float* output_ptr = out_data;
for (int k = 0; k < out_size; ++k)
{
// #pragma omp parallel for num_threads(num_thread)
for (int j = 0; j < param->input_counts; ++j)
{
int cp_size = param->input_shape[j].dim[axis] * in_size;
memcpy(output_ptr, in_data[j] + k * cp_size, cp_size * sizeof(float));
output_ptr += cp_size;
}
}
return 0;
}
static int ref_concat_fp16(const __fp16** in_data, __fp16* out_data, const struct concat_op_param* param)
{
int axis = param->axis;
int concat_dim = 0;
for(int ii = 0; ii < param->input_counts; ++ii)
{
concat_dim += param->input_shape[ii].dim[axis];
}
if(concat_dim != param->output_shape.dim[axis])
{
printf("concat dimensions is not same output: ( %d -- %d )\n", concat_dim, param->output_shape.dim[axis]);
return -1;
}
int out_size, in_size;
out_size = 1;
for(int ii = 0; ii < axis; ++ii)
{
out_size *= param->output_shape.dim[ii];
}
in_size = 1;
for(int ii = axis + 1; ii < param->output_dim; ++ii)
{
in_size *= param->input_shape[0].dim[ii];
}
__fp16* output_ptr = out_data;
for(int k = 0; k < out_size; ++k)
{
for(int j = 0; j < param->input_counts; ++j)
{
int cp_size = param->input_shape[j].dim[axis] * in_size;
memcpy(output_ptr, in_data[j] + k * cp_size, cp_size * sizeof(__fp16));
output_ptr += cp_size;
}
}
return 0;
}
static int ref_concat_uint8(const uint8_t** in_data, uint8_t* out_data, const struct concat_op_param* param)
{
int axis = param->axis;
int concat_dim = 0;
for (int ii = 0; ii < param->input_counts; ++ii)
{
concat_dim += param->input_shape[ii].dim[axis];
}
if (concat_dim != param->output_shape.dim[axis])
{
fprintf(stderr, "concat dimensions is not same output: ( %d -- %d )\n", concat_dim, param->output_shape.dim[axis]);
return -1;
}
int outer_size, in_size;
outer_size = 1;
for (int ii = 0; ii < axis; ++ii)
{
outer_size *= param->output_shape.dim[ii];
}
in_size = 1;
for (int ii = axis + 1; ii < param->output_dim; ++ii)
{
in_size *= param->output_shape.dim[ii];
}
int output_size = 1;
for (int ii = 0; ii < param->output_dim; ++ii)
{
output_size *= param->output_shape.dim[ii];
}
uint8_t* output_ptr = out_data;
float out_scale = param->output_shape.scale;
uint8_t out_zero = param->output_shape.zero;
for (int k = 0; k < outer_size; ++k)
{
for (int j = 0; j < param->input_counts; ++j)
{
int cp_size = param->input_shape[j].dim[axis] * in_size;
float scale = param->input_shape[j].scale;
uint8_t input_zero = param->input_shape[j].zero;
const uint8_t* input_ptr = ( const uint8_t* )(in_data[j] + k * cp_size);
if (scale == out_scale && input_zero == out_zero)
{
memcpy(output_ptr, input_ptr, cp_size);
}
else
{
float t_scale = scale / out_scale;
for (int ii = 0; ii < cp_size; ++ii)
{
output_ptr[ii] = round((input_ptr[ii] - input_zero) * t_scale) + out_zero;
}
}
output_ptr += cp_size;
}
}
return 0;
}
static int ref_concat_int8(const int8_t** in_data, int8_t* out_data, const struct concat_op_param* param)
{
int axis = param->axis;
int concat_dim = 0;
for (int ii = 0; ii < param->input_counts; ++ii)
{
concat_dim += param->input_shape[ii].dim[axis];
}
if (concat_dim != param->output_shape.dim[axis])
{
fprintf(stderr, "concat dimensions is not same output: ( %d -- %d )\n", concat_dim, param->output_shape.dim[axis]);
return -1;
}
int outer_size, in_size;
outer_size = 1;
for (int ii = 0; ii < axis; ++ii)
{
outer_size *= param->output_shape.dim[ii];
}
in_size = 1;
for (int ii = axis + 1; ii < param->output_dim; ++ii)
{
in_size *= param->output_shape.dim[ii];
}
int output_size = 1;
for (int ii = 0; ii < param->output_dim; ++ii)
{
output_size *= param->output_shape.dim[ii];
}
int8_t* output_ptr = out_data;
float output_scale = param->output_shape.scale;
for (int k = 0; k < outer_size; ++k)
{
for (int j = 0; j < param->input_counts; ++j)
{
int cp_size = param->input_shape[j].dim[axis] * in_size;
float input_scale = param->input_shape[j].scale;
const int8_t* input_ptr = ( const int8_t* )(in_data[j] + k * cp_size);
if (input_scale == output_scale)
{
memcpy(output_ptr, input_ptr, cp_size);
}
else
{
float requant_scale = input_scale / output_scale;
for (int ii = 0; ii < cp_size; ++ii)
{
int data_i32 = round((float )input_ptr[ii] * requant_scale);
if (data_i32 > 127)
data_i32 = 127;
else if (data_i32 < -127)
data_i32 = -127;
output_ptr[ii] = (int8_t)data_i32;
}
}
output_ptr += cp_size;
}
}
return 0;
}
static int init_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct concat_op_param* concat_op_param = ( struct concat_op_param* )sys_malloc(sizeof(struct concat_op_param));
concat_op_param->axis = 0;
concat_op_param->input_counts = 1;
concat_op_param->input_dim = 1;
concat_op_param->input_shape = NULL;
concat_op_param->out_scale = 0.1f;
concat_op_param->output_dim = 1;
exec_node->ops_priv = concat_op_param;
return 0;
}
static int release_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
sys_free(exec_node->ops_priv);
return 0;
}
static int prerun(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct ir_node* ir_node = exec_node->ir_node;
struct ir_graph* ir_graph = ir_node->graph;
struct ir_tensor* output_tensor;
output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
struct concat_op_param* concat_op_param = ( struct concat_op_param* )exec_node->ops_priv;
struct concat_param* concat_param = ( struct concat_param* )ir_node->op.param_mem;
concat_op_param->axis = concat_param->axis;
concat_op_param->input_counts = ir_node->input_num;
concat_op_param->input_shape = ( struct shape_dim* )sys_malloc(sizeof(struct shape_dim) * ir_node->input_num);
concat_op_param->output_dim = output_tensor->dim_num;
for (int ii = 0; ii < output_tensor->dim_num; ii++)
{
concat_op_param->output_shape.dim[ii] = output_tensor->dims[ii];
concat_op_param->output_shape.scale = output_tensor->scale;
concat_op_param->output_shape.zero = output_tensor->zero_point;
}
concat_op_param->input_data = ( void* )sys_malloc(sizeof(void*) * ir_node->input_num);
return 0;
}
static int run(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct ir_node* ir_node = exec_node->ir_node;
struct ir_graph* ir_graph = ir_node->graph;
struct ir_tensor* input_tensor;
struct ir_tensor* output_tensor;
output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
struct concat_op_param* concat_op_param = ( struct concat_op_param* )exec_node->ops_priv;
void* out_data = output_tensor->data;
for (int i = 0; i < ir_node->input_num; i++)
{
input_tensor = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[i]);
int number = input_tensor->dim_num;
for (int j = 0; j < number; j++)
{
concat_op_param->input_shape[i].dim[j] = input_tensor->dims[j];
concat_op_param->input_shape[i].scale = input_tensor->scale;
concat_op_param->input_shape[i].zero = input_tensor->zero_point;
}
concat_op_param->input_data[i] = input_tensor->data;
}
int ret = -1;
if (input_tensor->data_type == TENGINE_DT_FP32)
ret = ref_concat_fp32(( const float** )concat_op_param->input_data, out_data, concat_op_param);
else if (input_tensor->data_type == TENGINE_DT_FP16)
ret = ref_concat_fp16(( const __fp16** )concat_op_param->input_data, out_data, concat_op_param);
else if (input_tensor->data_type == TENGINE_DT_UINT8)
ret = ref_concat_uint8(( const uint8_t** )concat_op_param->input_data, out_data, concat_op_param);
else if (input_tensor->data_type == TENGINE_DT_INT8)
ret = ref_concat_int8(( const int8_t** )concat_op_param->input_data, out_data, concat_op_param);
else
printf("Input data type %d not to be supported.\n", input_tensor->data_type);
return ret;
}
static int postrun(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct concat_op_param* concat_op_param = ( struct concat_op_param* )exec_node->ops_priv;
sys_free(concat_op_param->input_shape);
sys_free(concat_op_param->input_data);
return 0;
}
static int score(struct node_ops* node_ops, struct exec_graph* exec_graph, struct ir_node* exec_node)
{
return OPS_SCORE_CANDO;
}
static struct node_ops hcl_node_ops = {.prerun = prerun,
.run = run,
.reshape = NULL,
.postrun = postrun,
.init_node = init_node,
.release_node = release_node,
.score = score};
static int reg_concat_hcl_ops(void* arg)
{
return register_builtin_node_ops(OP_CONCAT, &hcl_node_ops);
}
static int unreg_concat_hcl_ops(void* arg)
{
return unregister_builtin_node_ops(OP_CONCAT, &hcl_node_ops);
}
AUTO_REGISTER_OPS(reg_concat_hcl_ops);
AUTO_UNREGISTER_OPS(unreg_concat_hcl_ops);
|
3d25pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 8;
tile_size[1] = 8;
tile_size[2] = 8;
tile_size[3] = 1024;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 1) && (Nx >= 9) && (Ny >= 9) && (Nz >= 9)) {
for (t1=-1;t1<=Nt-1;t1++) {
lbp=ceild(t1+1,2);
ubp=min(floord(4*Nt+Nz-9,8),floord(4*t1+Nz-2,8));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(ceild(t1,2),ceild(8*t2-Nz+5,8));t3<=min(floord(4*Nt+Ny-9,8),floord(4*t1+Ny-1,8));t3++) {
for (t4=max(max(ceild(t1-254,256),ceild(8*t2-Nz-1011,1024)),ceild(8*t3-Ny-1011,1024));t4<=min(min(floord(4*Nt+Nx-9,1024),floord(4*t1+Nx-1,1024)),floord(8*t3+Nx-5,1024));t4++) {
for (t5=max(max(max(max(0,ceild(8*t2-Nz+5,4)),ceild(8*t3-Ny+5,4)),ceild(1024*t4-Nx+5,4)),t1);t5<=min(min(min(2*t3,Nt-1),t1+1),256*t4+254);t5++) {
for (t6=max(max(8*t2,4*t5+4),-8*t1+8*t2+8*t5-7);t6<=min(min(8*t2+7,-8*t1+8*t2+8*t5),4*t5+Nz-5);t6++) {
for (t7=max(8*t3,4*t5+4);t7<=min(8*t3+7,4*t5+Ny-5);t7++) {
lbv=max(1024*t4,4*t5+4);
ubv=min(1024*t4+1023,4*t5+Nx-5);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] = (((((((((((((coef[0][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) + (coef[1][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 1][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 1][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 1][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 1][ (-4*t5+t8)]))) + (coef[3][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 1] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 1]))) + (coef[4][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 2][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 2][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[5][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 2][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 2][ (-4*t5+t8)]))) + (coef[6][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 2] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 2]))) + (coef[7][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 3][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 3][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[8][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 3][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 3][ (-4*t5+t8)]))) + (coef[9][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 3] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 3]))) + (coef[10][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 4][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 4][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[11][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 4][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 4][ (-4*t5+t8)]))) + (coef[12][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 4] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 4])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
kmeans_omp.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
#define BIGNUM 1000
float* k_means_omp(float *imageIn, int clusters, int dimension, int iterations)
{
// the cluster vector
int numElements = (dimension)*(dimension);
size_t size = numElements * sizeof(float);
float *cluster = (float*) malloc(size);// which centroid does each cluster belong to?
float *imageOut = (float*) malloc(size);//output image
// the centroids or means
int means = clusters;
size_t size2 = means * sizeof(float);
float *centroids = (float*) malloc(size2);// list of centroids(means)
float *accumulator = (float*) malloc(size2);/*needed for average step */
float *numPixelsCentroid = (float*) malloc(size2);/*needed for the update average step*/
int i,j,h,m,n,temp1,temp2;
float distance;
float min_temp = BIGNUM;
float range = 255/(means-1);
//omp_set_num_threads(8);
//Paralelizando a iniciacao dos vetores
#pragma omp parallel for
for ( m = 0; m < means; m++) {
centroids[m] = range*m;
accumulator[m] =0;
numPixelsCentroid[m] =0;
}
for(int iters = 0; iters<iterations ; iters++) {
for ( i=0; i < numElements-1; i++){ //assignment step-> assign each point to cluster of closest centroid
for ( j = 0; j < means; j++) {
distance = fabs(imageIn[i]-centroids[j]);// compare image to centroids
if (distance < min_temp){
min_temp = distance;
cluster[i] = j; // assign this point to current cluster
}
}
// set variables used to find average
temp1 = (int)cluster[i];
accumulator[temp1] += imageIn[i];
numPixelsCentroid[temp1]+=1;
min_temp = BIGNUM; //reset mintemp
}
//paralelizando a atualizacao dos centroids
#pragma omp parallel for schedule(guided)
for ( h = 0; h < means; h++) {
if (numPixelsCentroid[h] != 0){
centroids[h] = accumulator[h]/numPixelsCentroid[h];
//reset
}
accumulator[h] = 0;
numPixelsCentroid[h] =0;
}
}
// paralelizando a configuracao da imagem de saida
#pragma omp parallel for
for ( n=0; n < numElements-1; n++){
temp2 = (int)cluster[n];
imageOut[n] = centroids[temp2];
}
for ( m = 0; m < means; m++) {
printf("%f \n", centroids[m]);
}
return imageOut;
}
|
hmacSHA1_fmt_plug.c | /*
* This software is Copyright (c) 2012, 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.
*
* Originally based on hmac-md5 by Bartavelle
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_hmacSHA1;
#elif FMT_REGISTERS_H
john_register_one(&fmt_hmacSHA1);
#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 "HMAC-SHA1"
#define FORMAT_NAME ""
#ifdef SIMD_COEF_32
#define SHA1_N (SIMD_PARA_SHA1 * SIMD_COEF_32)
#endif
#define ALGORITHM_NAME "password is key, 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 PAD_SIZE
#define SALT_ALIGN MEM_ALIGN_NONE
#define CIPHERTEXT_LENGTH (2 * SALT_LENGTH + 2 * BINARY_SIZE)
#define HEXCHARS "0123456789abcdef"
#ifdef SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT SHA1_N
#define MAX_KEYS_PER_CRYPT SHA1_N
#if ARCH_LITTLE_ENDIAN==1
#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 GETPOS(i, index) ((index & (SIMD_COEF_32 - 1)) * 4 + ((i) & (0xffffffff - 3)) * SIMD_COEF_32 + ((i) & 3) + (unsigned int)index/SIMD_COEF_32 * SHA_BUF_SIZ * 4 * SIMD_COEF_32)
#endif
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
static struct fmt_tests tests[] = {
{"The quick brown fox jumps over the lazy dog#de7c9b85b8b78aa6bc8a7a36f70a90701c9db4d9", "key"},
{"#fbdb1d1b18aa6c08324b7d64b71fb76370690e1d", ""},
{"Beppe#Grillo#DEBBDB4D549ABE59FAB67D0FB76B76FDBC4431F1", "Io credo nella reincarnazione e sono di Genova; per cui ho fatto testamento e mi sono lasciato tutto a me."},
{"7oTwG04WUjJ0BTDFFIkTJlgl#293b75c1f28def530c17fc8ae389008179bf4091", "late*night"}, // from the test suite
{"D2hIU7fdd78WARm5dt95k6MD#e741a6100ccfd1205a8ffe1321b61fc5aa06f6db", "123"},
{"6Fv5kYoxuEuroTkagbf3ZRsV#370edad3540b1ad3e96b03ccf3956645306074b7", "123456789"},
{"3uqqtMBC7vzh9tdVMPJ9bAwE#65ed35cf94e2180d6a797e5ad5e4175891427572", "passWOrd"},
{NULL}
};
#ifdef SIMD_COEF_32
#define cur_salt hmacsha1_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[SHA_BUF_SIZ * 4 * SHA1_N];
static int bufsize;
#else
static unsigned char cur_salt[SALT_LENGTH];
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
unsigned 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)
{
int pos, i;
char *p;
p = strrchr(ciphertext, '#'); // allow # in salt
if (!p || p > &ciphertext[strlen(ciphertext) - 1]) return 0;
i = (int)(p - ciphertext);
#if SIMD_COEF_32
if (i > 55) return 0;
#else
if (i > SALT_LENGTH) return 0;
#endif
pos = i + 1;
if (strlen(ciphertext+pos) != BINARY_SIZE * 2) return 0;
for (i = pos; i < BINARY_SIZE*2+pos; i++)
{
if (!((('0' <= ciphertext[i])&&(ciphertext[i] <= '9')) ||
(('a' <= ciphertext[i])&&(ciphertext[i] <= 'f'))
|| (('A' <= ciphertext[i])&&(ciphertext[i] <= 'F'))))
return 0;
}
return 1;
}
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[CIPHERTEXT_LENGTH + 1];
if (strstr(ciphertext, "$SOURCE_HASH$"))
return ciphertext;
strnzcpy(out, ciphertext, CIPHERTEXT_LENGTH + 1);
strlwr(strrchr(out, '#'));
return out;
}
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
#if ARCH_LITTLE_ENDIAN==1
uint32_t *ipadp = (uint32_t*)&ipad[GETPOS(3, index)];
uint32_t *opadp = (uint32_t*)&opad[GETPOS(3, index)];
#else
uint32_t *ipadp = (uint32_t*)&ipad[GETPOS(0, index)];
uint32_t *opadp = (uint32_t*)&opad[GETPOS(0, index)];
#endif
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)
{
#if ARCH_LITTLE_ENDIAN==1
temp = JOHNSWAP(*keyp++);
#else
temp = *keyp++;
#endif
*ipadp ^= temp;
*opadp ^= temp;
}
}
else
#if ARCH_LITTLE_ENDIAN==1
while(((temp = JOHNSWAP(*keyp++)) & 0xff000000)) {
#else
while(((temp = *keyp++) & 0xff000000)) {
#endif
if (!(temp & 0x00ff0000) || !(temp & 0x0000ff00))
{
#if ARCH_LITTLE_ENDIAN==1
((unsigned short*)ipadp)[1] ^=
(unsigned short)(temp >> 16);
((unsigned short*)opadp)[1] ^=
(unsigned short)(temp >> 16);
#else
((unsigned short*)ipadp)[0] ^=
(unsigned short)(temp >> 16);
((unsigned short*)opadp)[0] ^=
(unsigned short)(temp >> 16);
#endif
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,
(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(&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, strlen((char*)cur_salt));
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];
uint32_t dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
// allow # in salt
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;
}
#if defined(SIMD_COEF_32) && ARCH_LITTLE_ENDIAN==1
alter_endianity(out, BINARY_SIZE);
#endif
return (void*)out;
}
static void *get_salt(char *ciphertext)
{
static unsigned char salt[SALT_LENGTH];
#ifdef SIMD_COEF_32
unsigned int i = 0;
unsigned int j;
unsigned total_len = 0;
#endif
memset(salt, 0, sizeof(salt));
// allow # in salt
memcpy(salt, ciphertext, strrchr(ciphertext, '#') - ciphertext);
#ifdef SIMD_COEF_32
while(((unsigned char*)salt)[total_len])
{
for (i = 0; i < SHA1_N; ++i)
cur_salt[GETPOS(total_len, i)] = ((unsigned char*)salt)[total_len];
++total_len;
}
for (i = 0; i < SHA1_N; ++i)
cur_salt[GETPOS(total_len, i)] = 0x80;
for (j = total_len + 1; j < SALT_LENGTH; ++j)
for (i = 0; i < SHA1_N; ++i)
cur_salt[GETPOS(j, i)] = 0;
for (i = 0; i < SHA1_N; ++i)
((unsigned int*)cur_salt)[15 * SIMD_COEF_32 + (i&(SIMD_COEF_32-1)) + i/SIMD_COEF_32 * SHA_BUF_SIZ * SIMD_COEF_32] = (total_len + 64) << 3;
return cur_salt;
#else
return salt;
#endif
}
struct fmt_main fmt_hmacSHA1 = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP | FMT_OMP_BAD | FMT_SPLIT_UNIFIES_CASE | FMT_HUGE_INPUT,
{ NULL },
{ NULL },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
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 */
|
deconvolution_pack1ton.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void deconvolution_pack1ton_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_pack1ton, const Mat& bias_data, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int activation_type, const Mat& activation_params, const Option& opt)
{
const int packn = csrr_vlenb() / 4;
const word_type vl = vsetvl_e32m1(packn);
int w = bottom_blob.w;
int h = bottom_blob.h;
int channels = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int kernel_extent_w = dilation_w * (kernel_w - 1) + 1;
const int kernel_extent_h = dilation_h * (kernel_h - 1) + 1;
const int maxk = kernel_w * kernel_h;
const float* bias_data_ptr = bias_data;
// num_output
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
float* outptr = top_blob.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
vfloat32m1_t _sum = vfmv_v_f_f32m1(0.f, vl);
if (bias_data_ptr)
{
_sum = vle32_v_f32m1(bias_data_ptr + p * packn, vl);
}
const float* kptr = (const float*)weight_data_pack1ton + maxk * channels * p * packn;
// channels
for (int q = 0; q < channels; q++)
{
const Mat m = bottom_blob.channel(q);
for (int y = 0; y < kernel_h; y++)
{
int sys = (i + y * dilation_h - (kernel_extent_h - 1));
if (sys < 0 || sys % stride_h != 0)
continue;
int sy = sys / stride_h;
if (sy >= h)
continue;
const float* sptr = m.row(sy);
for (int x = 0; x < kernel_w; x++)
{
int sxs = (j + x * dilation_w - (kernel_extent_w - 1));
if (sxs < 0 || sxs % stride_w != 0)
continue;
int sx = sxs / stride_w;
if (sx >= w)
continue;
float val = sptr[sx];
int k = y * kernel_w + x;
vfloat32m1_t _w = vle32_v_f32m1(kptr + k * packn, vl);
_sum = vfmacc_vf_f32m1(_sum, val, _w, vl);
}
}
kptr += maxk * packn;
}
_sum = activation_ps(_sum, activation_type, activation_params, vl);
vse32_v_f32m1(outptr + j * packn, _sum, vl);
}
outptr += outw * packn;
}
}
}
|
DRB109-orderedmissing-orig-yes.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <stdio.h>
/* This is a program based on a test contributed by Yizi Gu@Rice Univ.
* Missing the ordered clause
* Data race pair: x@56:5 vs. x@56:5
* */
int main()
{
int x =0;
#pragma omp parallel for ordered
for (int i = 0; i < 100; ++i) {
x++;
}
printf ("x=%d\n",x);
return 0;
}
|
pwsafe_fmt_plug.c | /* Password Safe and Password Gorilla cracker patch for JtR. Hacked together
* during May of 2012 by Dhiru Kholia <dhiru.kholia at gmail.com>.
*
* Optimization patch during January of 2013 by Brian Wallace <brian.wallace9809 at gmail.com>.
*
* This software is Copyright (c) 2012-2013
* Dhiru Kholia <dhiru.kholia at gmail.com> and Brian Wallace <brian.wallace9809 at gmail.com>
* and it is hereby released to the general public under the following terms:
* Redistribution and use in source and binary forms, with or without modification, are permitted.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_pwsafe;
#elif FMT_REGISTERS_H
john_register_one(&fmt_pwsafe);
#else
#include <string.h>
#include <assert.h>
#include <errno.h>
#include "arch.h"
#include "sha2.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#ifdef _OPENMP
static int omp_t = 1;
#include <omp.h>
#define OMP_SCALE 1 // tuned on core i7
#endif
#include "memdbg.h"
#define FORMAT_LABEL "pwsafe"
#define FORMAT_NAME "Password Safe"
#define ALGORITHM_NAME "SHA256 32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define PLAINTEXT_LENGTH 125
#define BINARY_SIZE 32
#define SALT_SIZE sizeof(struct custom_salt)
#define BINARY_ALIGN sizeof(ARCH_WORD_32)
#define SALT_ALIGN sizeof(int)
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
static struct fmt_tests pwsafe_tests[] = {
{"$pwsafe$*3*fefc1172093344c9d5577b25f5b4b6e5d2942c94f9fc24c21733e28ae6527521*2048*88cbaf7d8668c1a98263f5dce7cb39c3304c49a3e0d76a7ea475dc02ab2f97a7", "12345678"},
{"$pwsafe$*3*581cd1135b9b993ccb0f6b01c1fcfacd799c69960496c96286f94fe1400c1b25*2048*4ab3c2d3af251e94eb2f753fdf30fb9da074bec6bac0fa9d9d152b95fc5795c6", "openwall"},
{"$pwsafe$*3*34ba0066d0fc594c126b60b9db98b6024e1cf585901b81b5b005ce386f173d4c*2048*cc86f1a5d930ff19b3602770a86586b5d9dea7bb657012aca875aa2a7dc71dc0", "12345678901234567890123"},
{"$pwsafe$*3*a42431191707895fb8d1121a3a6e255e33892d8eecb50fc616adab6185b5affb*2048*0f71d12df2b7c5394ae90771f6475a7ad0437007a8eeb5d9b58e35d8fd57c827", "123456789012345678901234567"},
{"$pwsafe$*3*c380dee0dbb536f5454f78603b020be76b33e294e9c2a0e047f43b9c61669fc8*2048*e88ed54a85e419d555be219d200563ae3ba864e24442826f412867fc0403917d", "this is an 87 character password to test the max bound of pwsafe-opencl................"},
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static ARCH_WORD_32 (*crypt_out)[BINARY_SIZE / sizeof(ARCH_WORD_32)];
static struct custom_salt {
int version;
unsigned int iterations;
char unsigned salt[32];
} *cur_salt;
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc_tiny(sizeof(*saved_key) *
self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
crypt_out = mem_calloc_tiny(sizeof(*crypt_out) * self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
// format $pwsafe$version*salt*iterations*hash
char *p;
char *ctcopy;
char *keeptr;
if (strncmp(ciphertext, "$pwsafe$*", 9) != 0)
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += 9; /* skip over "$pwsafe$*" */
if ((p = strtok(ctcopy, "*")) == NULL) /* version */
goto err;
if (atoi(p) == 0)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* salt */
goto err;
if (strlen(p) < 64)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* iterations */
goto err;
if (atoi(p) == 0)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* hash */
goto err;
if (strlen(p) != 64)
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;
char *p;
int i;
static struct custom_salt cs;
ctcopy += 9; /* skip over "$pwsafe$*" */
p = strtok(ctcopy, "*");
cs.version = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < 32; i++)
cs.salt[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtok(NULL, "*");
cs.iterations = (unsigned int)atoi(p);
MEM_FREE(keeptr);
return (void *)&cs;
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[BINARY_SIZE];
ARCH_WORD dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
p = strrchr(ciphertext, '*') + 1;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static int get_hash_0(int index) { return crypt_out[index][0] & 0xf; }
static int get_hash_1(int index) { return crypt_out[index][0] & 0xff; }
static int get_hash_2(int index) { return crypt_out[index][0] & 0xfff; }
static int get_hash_3(int index) { return crypt_out[index][0] & 0xffff; }
static int get_hash_4(int index) { return crypt_out[index][0] & 0xfffff; }
static int get_hash_5(int index) { return crypt_out[index][0] & 0xffffff; }
static int get_hash_6(int index) { return crypt_out[index][0] & 0x7ffffff; }
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
#define rotl(x,y) ( x<<y | x>>(32-y) )
#define rotr(x,y) ( x>>y | x<<(32-y) )
#define CHOICE(x,y,z) ( z ^ (x & ( y ^ z)) )
#define MAJORITY(x,y,z) ( (x & y) | (z & (x | y)) )
#define ROTXOR1(x) (rotr(x,2) ^ rotr(x,13) ^ rotr(x,22))
#define ROTXOR2(x) (rotr(x,6) ^ rotr(x,11) ^ rotr(x,25))
#define ROTXOR3(x) (rotr(x,7) ^ rotr(x,18) ^ (x>>3))
#define ROTXOR4(x) (rotr(x,17) ^ rotr(x,19) ^ (x>>10))
#if ARCH_LITTLE_ENDIAN
#define bytereverse(x) ( ((x) << 24) | (((x) << 8) & 0x00ff0000) | (((x) >> 8) & 0x0000ff00) | ((x) >> 24) )
#else
#define bytereverse(x) (x)
#endif
static void pwsafe_sha256_iterate(unsigned int * state, unsigned int iterations)
{
unsigned int word00,word01,word02,word03,word04,word05,word06,word07;
unsigned int word08,word09,word10,word11,word12,word13,word14,word15;
unsigned int temp0, temp1, temp2, temp3, temp4, temp5, temp6, temp7;
iterations++;
word00 = state[0];
word01 = state[1];
word02 = state[2];
word03 = state[3];
word04 = state[4];
word05 = state[5];
word06 = state[6];
word07 = state[7];
while(iterations)
{
iterations--;
temp0 = 0x6a09e667UL;
temp1 = 0xbb67ae85UL;
temp2 = 0x3c6ef372UL;
temp3 = 0xa54ff53aUL;
temp4 = 0x510e527fUL;
temp5 = 0x9b05688cUL;
temp6 = 0x1f83d9abUL;
temp7 = 0x5be0cd19UL;
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0x428a2f98 + (word00);
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0x71374491 + (word01);
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0xb5c0fbcf + (word02);
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0xe9b5dba5 + (word03);
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0x3956c25b + (word04);
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0x59f111f1 + (word05);
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0x923f82a4 + (word06);
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0xab1c5ed5 + (word07);
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0xd807aa98 + ( (word08 = 0x80000000U) );
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0x12835b01 + ( (word09 = 0) );
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0x243185be + ( (word10 = 0) );
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0x550c7dc3 + ( (word11 = 0) );
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0x72be5d74 + ( (word12 = 0) );
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0x80deb1fe + ( (word13 = 0) );
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0x9bdc06a7 + ( (word14 = 0) );
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0xc19bf174 + ( (word15 = 256) );
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0xe49b69c1 + ( (word00 += ROTXOR4( word14 ) + word09 + ROTXOR3( word01 ) ) );
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0xefbe4786 + ( (word01 += ROTXOR4( word15 ) + word10 + ROTXOR3( word02 ) ) );
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0x0fc19dc6 + ( (word02 += ROTXOR4( word00 ) + word11 + ROTXOR3( word03 ) ) );
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0x240ca1cc + ( (word03 += ROTXOR4( word01 ) + word12 + ROTXOR3( word04 ) ) );
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0x2de92c6f + ( (word04 += ROTXOR4( word02 ) + word13 + ROTXOR3( word05 ) ) );
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0x4a7484aa + ( (word05 += ROTXOR4( word03 ) + word14 + ROTXOR3( word06 ) ) );
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0x5cb0a9dc + ( (word06 += ROTXOR4( word04 ) + word15 + ROTXOR3( word07 ) ) );
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0x76f988da + ( (word07 += ROTXOR4( word05 ) + word00 + ROTXOR3( word08 ) ) );
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0x983e5152 + ( (word08 += ROTXOR4( word06 ) + word01 + ROTXOR3( word09 ) ) );
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0xa831c66d + ( (word09 += ROTXOR4( word07 ) + word02 + ROTXOR3( word10 ) ) );
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0xb00327c8 + ( (word10 += ROTXOR4( word08 ) + word03 + ROTXOR3( word11 ) ) );
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0xbf597fc7 + ( (word11 += ROTXOR4( word09 ) + word04 + ROTXOR3( word12 ) ) );
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0xc6e00bf3 + ( (word12 += ROTXOR4( word10 ) + word05 + ROTXOR3( word13 ) ) );
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0xd5a79147 + ( (word13 += ROTXOR4( word11 ) + word06 + ROTXOR3( word14 ) ) );
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0x06ca6351 + ( (word14 += ROTXOR4( word12 ) + word07 + ROTXOR3( word15 ) ) );
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0x14292967 + ( (word15 += ROTXOR4( word13 ) + word08 + ROTXOR3( word00 ) ) );
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0x27b70a85 + ( (word00 += ROTXOR4( word14 ) + word09 + ROTXOR3( word01 ) ) );
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0x2e1b2138 + ( (word01 += ROTXOR4( word15 ) + word10 + ROTXOR3( word02 ) ) );
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0x4d2c6dfc + ( (word02 += ROTXOR4( word00 ) + word11 + ROTXOR3( word03 ) ) );
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0x53380d13 + ( (word03 += ROTXOR4( word01 ) + word12 + ROTXOR3( word04 ) ) );
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0x650a7354 + ( (word04 += ROTXOR4( word02 ) + word13 + ROTXOR3( word05 ) ) );
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0x766a0abb + ( (word05 += ROTXOR4( word03 ) + word14 + ROTXOR3( word06 ) ) );
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0x81c2c92e + ( (word06 += ROTXOR4( word04 ) + word15 + ROTXOR3( word07 ) ) );
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0x92722c85 + ( (word07 += ROTXOR4( word05 ) + word00 + ROTXOR3( word08 ) ) );
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0xa2bfe8a1 + ( (word08 += ROTXOR4( word06 ) + word01 + ROTXOR3( word09 ) ) );
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0xa81a664b + ( (word09 += ROTXOR4( word07 ) + word02 + ROTXOR3( word10 ) ) );
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0xc24b8b70 + ( (word10 += ROTXOR4( word08 ) + word03 + ROTXOR3( word11 ) ) );
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0xc76c51a3 + ( (word11 += ROTXOR4( word09 ) + word04 + ROTXOR3( word12 ) ) );
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0xd192e819 + ( (word12 += ROTXOR4( word10 ) + word05 + ROTXOR3( word13 ) ) );
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0xd6990624 + ( (word13 += ROTXOR4( word11 ) + word06 + ROTXOR3( word14 ) ) );
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0xf40e3585 + ( (word14 += ROTXOR4( word12 ) + word07 + ROTXOR3( word15 ) ) );
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0x106aa070 + ( (word15 += ROTXOR4( word13 ) + word08 + ROTXOR3( word00 ) ) );
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0x19a4c116 + ( (word00 += ROTXOR4( word14 ) + word09 + ROTXOR3( word01 ) ) );
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0x1e376c08 + ( (word01 += ROTXOR4( word15 ) + word10 + ROTXOR3( word02 ) ) );
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0x2748774c + ( (word02 += ROTXOR4( word00 ) + word11 + ROTXOR3( word03 ) ) );
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0x34b0bcb5 + ( (word03 += ROTXOR4( word01 ) + word12 + ROTXOR3( word04 ) ) );
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0x391c0cb3 + ( (word04 += ROTXOR4( word02 ) + word13 + ROTXOR3( word05 ) ) );
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0x4ed8aa4a + ( (word05 += ROTXOR4( word03 ) + word14 + ROTXOR3( word06 ) ) );
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0x5b9cca4f + ( (word06 += ROTXOR4( word04 ) + word15 + ROTXOR3( word07 ) ) );
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0x682e6ff3 + ( (word07 += ROTXOR4( word05 ) + word00 + ROTXOR3( word08 ) ) );
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
temp7 += ROTXOR2( temp4 ) + CHOICE( temp4, temp5, temp6 ) + 0x748f82ee + ( (word08 += ROTXOR4( word06 ) + word01 + ROTXOR3( word09 ) ) );
temp3 += temp7;
temp7 += ROTXOR1( temp0 ) + MAJORITY( temp0, temp1, temp2 );
temp6 += ROTXOR2( temp3 ) + CHOICE( temp3, temp4, temp5 ) + 0x78a5636f + ( (word09 += ROTXOR4( word07 ) + word02 + ROTXOR3( word10 ) ) );
temp2 += temp6;
temp6 += ROTXOR1( temp7 ) + MAJORITY( temp7, temp0, temp1 );
temp5 += ROTXOR2( temp2 ) + CHOICE( temp2, temp3, temp4 ) + 0x84c87814 + ( (word10 += ROTXOR4( word08 ) + word03 + ROTXOR3( word11 ) ) );
temp1 += temp5;
temp5 += ROTXOR1( temp6 ) + MAJORITY( temp6, temp7, temp0 );
temp4 += ROTXOR2( temp1 ) + CHOICE( temp1, temp2, temp3 ) + 0x8cc70208 + ( (word11 += ROTXOR4( word09 ) + word04 + ROTXOR3( word12 ) ) );
temp0 += temp4;
temp4 += ROTXOR1( temp5 ) + MAJORITY( temp5, temp6, temp7 );
temp3 += ROTXOR2( temp0 ) + CHOICE( temp0, temp1, temp2 ) + 0x90befffa + ( (word12 += ROTXOR4( word10 ) + word05 + ROTXOR3( word13 ) ) );
temp7 += temp3;
temp3 += ROTXOR1( temp4 ) + MAJORITY( temp4, temp5, temp6 );
temp2 += ROTXOR2( temp7 ) + CHOICE( temp7, temp0, temp1 ) + 0xa4506ceb + ( (word13 += ROTXOR4( word11 ) + word06 + ROTXOR3( word14 ) ) );
temp6 += temp2;
temp2 += ROTXOR1( temp3 ) + MAJORITY( temp3, temp4, temp5 );
temp1 += ROTXOR2( temp6 ) + CHOICE( temp6, temp7, temp0 ) + 0xbef9a3f7 + ( (word14 += ROTXOR4( word12 ) + word07 + ROTXOR3( word15 ) ) );
temp5 += temp1;
temp1 += ROTXOR1( temp2 ) + MAJORITY( temp2, temp3, temp4 );
temp0 += ROTXOR2( temp5 ) + CHOICE( temp5, temp6, temp7 ) + 0xc67178f2 + ( (word15 += ROTXOR4( word13 ) + word08 + ROTXOR3( word00 ) ) );
temp4 += temp0;
temp0 += ROTXOR1( temp1 ) + MAJORITY( temp1, temp2, temp3 );
word00 = 0x6a09e667UL + temp0;
word01 = 0xbb67ae85UL + temp1;
word02 = 0x3c6ef372UL + temp2;
word03 = 0xa54ff53aUL + temp3;
word04 = 0x510e527fUL + temp4;
word05 = 0x9b05688cUL + temp5;
word06 = 0x1f83d9abUL + temp6;
word07 = 0x5be0cd19UL + temp7;
}
state[0] = bytereverse(word00);
state[1] = bytereverse(word01);
state[2] = bytereverse(word02);
state[3] = bytereverse(word03);
state[4] = bytereverse(word04);
state[5] = bytereverse(word05);
state[6] = bytereverse(word06);
state[7] = bytereverse(word07);
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index++)
#endif
{
SHA256_CTX ctx;
SHA256_Init(&ctx);
SHA256_Update(&ctx, saved_key[index], strlen(saved_key[index]));
SHA256_Update(&ctx, cur_salt->salt, 32);
SHA256_Final((unsigned char*)crypt_out[index], &ctx);
#ifdef COMMON_DIGEST_FOR_OPENSSL
pwsafe_sha256_iterate(ctx.hash, cur_salt->iterations);
memcpy(crypt_out[index], ctx.hash, 32);
#else
pwsafe_sha256_iterate(ctx.h, cur_salt->iterations);
memcpy(crypt_out[index], ctx.h, 32);
#endif
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
#ifdef _OPENMP
for (; index < count; index++)
#endif
if (!memcmp(binary, crypt_out[index], BINARY_SIZE))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void pwsafe_set_key(char *key, int index)
{
int saved_key_length = strlen(key);
if (saved_key_length > PLAINTEXT_LENGTH)
saved_key_length = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_key_length);
saved_key[index][saved_key_length] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
#if FMT_MAIN_VERSION > 11
static unsigned int iteration_count(void *salt)
{
struct custom_salt *my_salt;
my_salt = salt;
return (unsigned int) my_salt->iterations;
}
#endif
struct fmt_main fmt_pwsafe = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
#if FMT_MAIN_VERSION > 11
{
"iteration count",
},
#endif
pwsafe_tests
}, {
init,
fmt_default_done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
#if FMT_MAIN_VERSION > 11
{
iteration_count,
},
#endif
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
fmt_default_salt_hash,
set_salt,
pwsafe_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 */
|
add_omp.c | /*
This file is part of ParTI!.
ParTI! is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation, either version 3 of
the License, or (at your option) any later version.
ParTI! 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 Lesser General Public
License along with ParTI!.
If not, see <http://www.gnu.org/licenses/>.
*/
#include <HiParTI.h>
#include "sptensor.h"
/* TODO: bug. */
int ptiSparseTensorAddOMP(ptiSparseTensor *Y, ptiSparseTensor *X, int const nthreads) {
/* Ensure X and Y are in same shape */
if(Y->nmodes != X->nmodes) {
pti_CheckError(PTIERR_SHAPE_MISMATCH, "OMP SpTns Add", "shape mismatch");
}
for(ptiIndex i = 0; i < X->nmodes; ++i) {
if(Y->ndims[i] != X->ndims[i]) {
pti_CheckError(PTIERR_SHAPE_MISMATCH, "OMP SpTns Add", "shape mismatch");
}
}
/* Determine partationing strategy. */
ptiNnzIndex * dist_nnzs_X = (ptiNnzIndex*)malloc(nthreads*sizeof(ptiNnzIndex));
ptiNnzIndex * dist_nnzs_Y = (ptiNnzIndex*)malloc(nthreads*sizeof(ptiNnzIndex));
ptiIndex * dist_nrows_Y = (ptiIndex*)malloc(nthreads*sizeof(ptiIndex));
pti_DistSparseTensor(Y, nthreads, dist_nnzs_Y, dist_nrows_Y);
pti_DistSparseTensorFixed(X, nthreads, dist_nnzs_X, dist_nnzs_Y);
free(dist_nrows_Y);
printf("dist_nnzs_Y:\n");
for(int i=0; i<nthreads; ++i) {
printf("%" HIPARTI_PRI_NNZ_INDEX " ", dist_nnzs_Y[i]);
}
printf("\n");
printf("dist_nnzs_X:\n");
for(int i=0; i<nthreads; ++i) {
printf("%" HIPARTI_PRI_NNZ_INDEX " ", dist_nnzs_X[i]);
}
printf("\n");
fflush(stdout);
/* Build a private arrays to append values. */
ptiNnzIndex nnz_gap = llabs((long long) Y->nnz - (long long) X->nnz);
ptiNnzIndex increase_size = 0;
if(nnz_gap == 0) increase_size = 10;
else increase_size = nnz_gap;
ptiIndexVector **local_inds = (ptiIndexVector**)malloc(nthreads* sizeof *local_inds);
for(int k=0; k<nthreads; ++k) {
local_inds[k] = (ptiIndexVector*)malloc(Y->nmodes* sizeof *(local_inds[k]));
for(ptiIndex m=0; m<Y->nmodes; ++m) {
ptiNewIndexVector(&(local_inds[k][m]), 0, increase_size);
}
}
ptiValueVector *local_vals = (ptiValueVector*)malloc(nthreads* sizeof *local_vals);
for(int k=0; k<nthreads; ++k) {
ptiNewValueVector(&(local_vals[k]), 0, increase_size);
}
/* Add elements one by one, assume indices are ordered */
ptiNnzIndex Ynnz = 0;
omp_set_dynamic(0);
omp_set_num_threads(nthreads);
#pragma omp parallel reduction(+:Ynnz)
{
int tid = omp_get_thread_num();
ptiNnzIndex i=0, j=0;
Ynnz = dist_nnzs_Y[tid];
while(i < dist_nnzs_X[tid] && j < dist_nnzs_Y[tid]) {
int compare = pti_SparseTensorCompareIndices(X, i, Y, j);
if(compare > 0) { // X(i) > Y(j)
++j;
} else if(compare < 0) { // X(i) < Y(j)
ptiIndex mode;
int result;
for(mode = 0; mode < X->nmodes; ++mode) {
result = ptiAppendIndexVector(&(local_inds[tid][mode]), X->inds[mode].data[i]);
pti_CheckOmpError(result, "OMP SpTns Add", NULL);
}
result = ptiAppendValueVector(&(local_vals[tid]), X->values.data[i]);
pti_CheckOmpError(result, "OMP SpTns Add", NULL);
++Ynnz;
++i;
} else { // X(i) = Y(j)
Y->values.data[j] += X->values.data[i];
++i;
++j;
}
}
/* Append remaining elements of X to Y */
while(i < dist_nnzs_X[tid]) {
ptiIndex mode;
int result;
for(mode = 0; mode < X->nmodes; ++mode) {
result = ptiAppendIndexVector(&(local_inds[tid][mode]), X->inds[mode].data[i]);
pti_CheckOmpError(result, "OMP SpTns Add", NULL);
}
result = ptiAppendValueVector(&(local_vals[tid]), X->values.data[i]);
pti_CheckOmpError(result, "OMP SpTns Add", NULL);
++Ynnz;
++i;
}
}
Y->nnz = Ynnz;
/* Append all the local arrays to Y. */
for(int k=0; k<nthreads; ++k) {
for(ptiIndex m=0; m<Y->nmodes; ++m) {
ptiAppendIndexVectorWithVector(&(Y->inds[m]), &(local_inds[k][m]));
}
ptiAppendValueVectorWithVector(&(Y->values), &(local_vals[k]));
}
for(int k=0; k<nthreads; ++k) {
for(ptiIndex m=0; m<Y->nmodes; ++m) {
ptiFreeIndexVector(&(local_inds[k][m]));
}
free(local_inds[k]);
ptiFreeValueVector(&(local_vals[k]));
}
free(local_inds);
free(local_vals);
free(dist_nnzs_X);
free(dist_nnzs_Y);
/* Check whether elements become zero after adding.
If so, fill the gap with the [nnz-1]'th element.
*/
pti_SparseTensorCollectZeros(Y);
/* Sort the indices */
ptiSparseTensorSortIndex(Y, 1, nthreads);
return 0;
}
|
minimal.c | /*! @copyright (c) 2017 King Abdullah University of Science and
* Technology (KAUST). All rights reserved.
*
* STARS-H is a software package, provided by King Abdullah
* University of Science and Technology (KAUST)
*
* @file src/applications/minimal.c
* @version 0.3.0
* @author Aleksandr Mikhalev
* @date 2017-11-07
* */
#include "common.h"
#include "starsh.h"
#include "starsh-minimal.h"
void starsh_mindata_block_kernel(int nrows, int ncols, STARSH_int *irow,
STARSH_int *icol, void *row_data, void *col_data, void *result,
int ld)
//! The only kernel for @ref STARSH_mindata object.
/*! @param[in] nrows: Number of rows of \f$ A \f$.
* @param[in] ncols: Number of columns of \f$ A \f$.
* @param[in] irow: Array of row indexes.
* @param[in] icol: Array of column indexes.
* @param[in] row_data: Pointer to physical data (@ref STARSH_mindata object).
* @param[in] col_data: Pointer to physical data (@ref STARSH_mindata object).
* @param[out] result: Pointer to memory of \f$ A \f$.
* @param[in] ld: Leading dimension of `result`.
* @ingroup app-minimal
* */
{
int i, j;
STARSH_mindata *data = row_data;
STARSH_int n = data->count;
double *buffer = result;
#pragma omp simd
for(j = 0; j < ncols; j++)
for(i = 0; i < nrows; i++)
{
if(irow[i] == icol[j])
buffer[j*(size_t)ld+i] = n+1;
else
buffer[j*(size_t)ld+i] = 1.0;
}
}
int starsh_mindata_new(STARSH_mindata **data, STARSH_int count, char dtype)
//! Create container for minimal working example.
/*! @param[out] data: Address of pointer to @ref STARSH_mindata object.
* @param[in] count: Size of matrix.
* @param[in] dtype: precision ('s', 'd', 'c' or 'z').
* @return Error code @ref STARSH_ERRNO.
* @ingroup app-minimal
* */
{
STARSH_MALLOC(*data, 1);
(*data)->count = count;
(*data)->dtype = dtype;
return STARSH_SUCCESS;
}
void starsh_mindata_free(STARSH_mindata *data)
//! Free data.
//! @ingroup app-minimal
{
if(data != NULL)
free(data);
}
int starsh_mindata_get_kernel(STARSH_kernel **kernel, STARSH_mindata *data,
enum STARSH_MINIMAL_KERNEL type)
//! Get kernel for minimal working example.
/*! Kernel can be selected with this call or manually. Currently, there is only
* one kernel for @ref STARSH_mindata problem.
*
* @param[out] kernel: Address of @ref STARSH_kernel function.
* @param[in] data: Pointer to @ref STARSH_mindata object.
* @param[in] type: Type of kernel. For more info look at @ref
* STARSH_MINIMAL_KERNEL.
* @return Error code @ref STARSH_ERRNO.
* @sa starsh_mindata_block_kernel().
* @ingroup app-minimal
* */
{
switch(type)
{
case STARSH_MINIMAL_KERNEL1:
*kernel = starsh_mindata_block_kernel;
break;
default:
STARSH_ERROR("Wrong type of kernel");
return STARSH_WRONG_PARAMETER;
}
return STARSH_SUCCESS;
}
|
zero_length_array_section.c | // RUN: %libomptarget-compile-aarch64-unknown-linux-gnu -fopenmp-version=51
// RUN: %libomptarget-run-fail-aarch64-unknown-linux-gnu 2>&1 \
// RUN: | %fcheck-aarch64-unknown-linux-gnu
// RUN: %libomptarget-compile-powerpc64-ibm-linux-gnu -fopenmp-version=51
// RUN: %libomptarget-run-fail-powerpc64-ibm-linux-gnu 2>&1 \
// RUN: | %fcheck-powerpc64-ibm-linux-gnu
// RUN: %libomptarget-compile-powerpc64le-ibm-linux-gnu -fopenmp-version=51
// RUN: %libomptarget-run-fail-powerpc64le-ibm-linux-gnu 2>&1 \
// RUN: | %fcheck-powerpc64le-ibm-linux-gnu
// RUN: %libomptarget-compile-x86_64-pc-linux-gnu -fopenmp-version=51
// RUN: %libomptarget-run-fail-x86_64-pc-linux-gnu 2>&1 \
// RUN: | %fcheck-x86_64-pc-linux-gnu
#include <stdio.h>
int main() {
int arr[5];
// CHECK: addr=0x[[#%x,HOST_ADDR:]]
fprintf(stderr, "addr=%p\n", arr);
// CHECK-NOT: Libomptarget
#pragma omp target data map(alloc: arr[0:5])
#pragma omp target map(present, alloc: arr[0:0])
;
// CHECK: arr is present
fprintf(stderr, "arr is present\n");
// arr[0:0] doesn't create an actual mapping in the first directive.
//
// CHECK: Libomptarget message: device mapping required by 'present' map type modifier does not exist for host address 0x{{0*}}[[#HOST_ADDR]] (0 bytes)
// CHECK: Libomptarget error: Call to getOrAllocTgtPtr returned null pointer ('present' map type modifier).
// CHECK: Libomptarget error: Call to targetDataBegin failed, abort target.
// CHECK: Libomptarget error: Failed to process data before launching the kernel.
// CHECK: Libomptarget fatal error 1: failure of target construct while offloading is mandatory
#pragma omp target data map(alloc: arr[0:0])
#pragma omp target map(present, alloc: arr[0:0])
;
// CHECK-NOT: arr is present
fprintf(stderr, "arr is present\n");
return 0;
}
|
selu_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: hhchen@openailab.com
*/
#include "selu_param.h"
#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_selu_fp32(struct tensor* output_tensor, struct tensor* input_tensor, struct selu_param* selu_param,
int num_thread)
{
float* data = ( float* )input_tensor->data;
float* out_data = ( float* )output_tensor->data;
float alpha = selu_param->alpha;
float lambda = selu_param->lambda;
float alpha_lambda = alpha * lambda;
int chan_num = input_tensor->dims[0] * input_tensor->dims[1];
int chan_size = input_tensor->dims[2] * input_tensor->dims[3];
#pragma omp parallel for num_threads(num_thread)
for (int i = 0; i < chan_num; i++)
{
int offset = i * chan_size;
float* input_data = ( float* )input_tensor->data + i * chan_size;
float* output_data = ( float* )output_tensor->data + i * chan_size;
for (int j = 0; j < chan_size; j++)
{
if (input_data[j] < 0.f)
output_data[j] = (exp(input_data[j]) - 1.f) * alpha_lambda;
else
output_data[j] = input_data[j] * lambda;
}
}
return 0;
}
int ref_selu_uint8(struct tensor* output_tensor, struct tensor* input_tensor, struct selu_param* selu_param,
int num_thread)
{
/* dequant */
uint8_t* input_uint8 = (uint8_t*)input_tensor->data;
uint8_t* output_uint8 = (uint8_t*)output_tensor->data;
float input_scale = input_tensor->scale;
float output_scale = output_tensor->scale;
int32_t input_zero = input_tensor->zero_point;
int32_t output_zero = output_tensor->zero_point;
int input_size = input_tensor->elem_num;
int output_size = output_tensor->elem_num;
float* input_data = ( float* )sys_malloc(input_size * sizeof(float));
float* output_data = ( float* )sys_malloc(output_size * sizeof(float));
for (int i = 0; i < input_size; i++)
{
input_data[i] = (( float )input_uint8[i] - ( float )input_zero) * input_scale;
}
float alpha = selu_param->alpha;
float lambda = selu_param->lambda;
float alpha_lambda = alpha * lambda;
int chan_num = input_tensor->dims[0] * input_tensor->dims[1];
int chan_size = input_tensor->dims[2] * input_tensor->dims[3];
#pragma omp parallel for num_threads(num_thread)
for (int i = 0; i < chan_num; i++)
{
int offset = i * chan_size;
input_data = ( float* )input_tensor->data + i * chan_size;
output_data = ( float* )output_tensor->data + i * chan_size;
for (int j = 0; j < chan_size; j++)
{
if (input_data[j] < 0.f)
output_data[j] = (exp(input_data[j]) - 1.f) * alpha_lambda;
else
output_data[j] = input_data[j] * lambda;
}
}
/* quant */
for (int i = 0; i < output_size; i++)
{
int udata = round(output_data[i] / output_scale + output_zero);
if (udata > 255)
udata = 255;
else if (udata < 0)
udata = 0;
output_uint8[i] = udata;
}
sys_free(input_data);
sys_free(output_data);
return 0;
}
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 = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[0]);
struct tensor* output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
struct selu_param* selu_param = ( struct selu_param* )ir_node->op.param_mem;
int num_thread = exec_graph->num_thread;
int ret = -1;
if (input_tensor->data_type == TENGINE_DT_FP32)
ret = ref_selu_fp32(output_tensor, input_tensor, selu_param, num_thread);
else if(input_tensor->data_type == TENGINE_DT_UINT8)
ret = ref_selu_uint8(output_tensor, input_tensor, selu_param, num_thread);
return ret;
}
static int score(struct node_ops* node_ops, struct exec_graph* exec_graph, struct node* exec_node)
{
struct node* ir_node = exec_node;
struct graph* ir_graph = ir_node->graph;
struct tensor* input_tensor;
input_tensor = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[0]);
if (input_tensor->data_type != TENGINE_DT_FP32 || input_tensor->layout != TENGINE_LAYOUT_NCHW)
return 0;
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_selu_ref_op()
{
return register_builtin_node_ops(OP_SELU, &hcl_node_ops);
}
int unregister_selu_ref_op()
{
return unregister_builtin_node_ops(OP_SELU, &hcl_node_ops);
}
|
sq_helper_functions.h | // Copyright (C) 2020-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
#ifndef HE_SAMPLES_EXAMPLES_SECURE_QUERY_INCLUDE_SQ_HELPER_FUNCTIONS_H_
#define HE_SAMPLES_EXAMPLES_SECURE_QUERY_INCLUDE_SQ_HELPER_FUNCTIONS_H_
#include <fstream>
#include <string>
#include <vector>
#include "sq_types.h"
namespace sq {
static inline std::vector<unsigned int> encodeStringToHexVector(
const std::string& value, const unsigned int length) {
std::vector<unsigned int> encoded_values;
const unsigned int vector_len = length / 2;
for (unsigned int x = 0; x < vector_len; x++) {
if (x < value.length()) {
char high = value[x] >> 4;
char low = value[x] & 15;
encoded_values.push_back(high);
encoded_values.push_back(low);
} else {
encoded_values.push_back(0);
encoded_values.push_back(0);
}
}
return encoded_values;
}
static inline std::string decodeHexVectorToString(
const std::vector<unsigned int>& vec) {
std::vector<char> c_str;
for (unsigned int x = 0; x < vec.size(); x += 2) {
char character = static_cast<char>(((vec[x] << 4) | vec[x + 1]));
c_str.push_back(character);
}
return std::string(c_str.data(), c_str.size());
}
static inline seal::Plaintext writeEncodedStringToPlaintext(
const std::vector<unsigned int>& encoded_string,
unsigned int poly_modulus_degree) {
seal::Plaintext encoded_pt;
encoded_pt.resize(poly_modulus_degree);
for (unsigned int x = 0; x < poly_modulus_degree; x++) {
encoded_pt[x] = 0;
}
for (unsigned int x = 0; x < encoded_string.size(); x++) {
encoded_pt[x] = encoded_string[x];
}
return encoded_pt;
}
static inline std::vector<unsigned int> decodePlaintextToEncodedVector(
const seal::Plaintext& value) {
std::vector<unsigned int> decoded_values;
for (unsigned int x = 0; x < value.coeff_count(); x++) {
decoded_values.push_back(value[x]);
}
// Handle special case where return result is 0
if (decoded_values.size() == 1) decoded_values.push_back(0);
return decoded_values;
}
inline static std::vector<DatabaseEntry> createDatabaseFromCSVFile(
std::string filename) {
std::vector<DatabaseEntry> db;
std::ifstream input_file;
input_file.open(filename);
if (!input_file.is_open()) {
throw std::runtime_error(
"Error: Failed to open file \"" + filename +
"\"\n Please check the file exists and the path is correct.");
} else {
std::string next_line;
while (std::getline(input_file, next_line)) {
auto cut_point = next_line.find(",");
if (cut_point != std::string::npos) {
std::string key = next_line.substr(0, cut_point);
std::string value =
next_line.substr(cut_point + 1, next_line.length() - cut_point + 1);
db.push_back(DatabaseEntry(key, value));
}
}
}
return db;
}
static inline std::vector<EncryptedDatabaseEntry> encryptDatabase(
const std::vector<DatabaseEntry>& db, const seal::Encryptor* m_encryptor,
int poly_mod_degree, size_t key_length) {
std::vector<EncryptedDatabaseEntry> encrypted_db;
encrypted_db.reserve(db.size());
#pragma omp parallel for
for (unsigned int x = 0; x < db.size(); x++) {
const DatabaseEntry& db_entry = db[x];
EncryptedDatabaseEntry enc_db_entry;
// Encrypt the key
enc_db_entry.key.resize(key_length * 2);
for (size_t x = 0; x < key_length; x++) {
if (x < db_entry.key.length()) {
seal::Plaintext key_high;
seal::Plaintext key_low;
key_high.resize(poly_mod_degree);
key_low.resize(poly_mod_degree);
key_high = db_entry.key[x] >> 4;
key_low = db_entry.key[x] & 15;
m_encryptor->encrypt(key_high, enc_db_entry.key[x * 2]);
m_encryptor->encrypt(key_low, enc_db_entry.key[x * 2 + 1]);
} else {
m_encryptor->encrypt_zero(enc_db_entry.key[x * 2]);
m_encryptor->encrypt_zero(enc_db_entry.key[x * 2 + 1]);
}
}
// Encrypt the value string
auto enc_vec = encodeStringToHexVector(db_entry.value, poly_mod_degree);
m_encryptor->encrypt(
writeEncodedStringToPlaintext(enc_vec, poly_mod_degree),
enc_db_entry.value);
#pragma omp critical
encrypted_db.push_back(enc_db_entry);
}
return encrypted_db;
}
} // namespace sq
#endif // HE_SAMPLES_EXAMPLES_SECURE_QUERY_INCLUDE_SQ_HELPER_FUNCTIONS_H_
|
parallel.c | /* Copyright (C) 2005-2018 Free Software Foundation, Inc.
Contributed by Richard Henderson <rth@redhat.com>.
This file is part of the GNU Offloading and Multi Processing Library
(libgomp).
Libgomp 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.
Libgomp 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.
Under Section 7 of GPL version 3, you are granted additional
permissions described in the GCC Runtime Library Exception, version
3.1, as published by the Free Software Foundation.
You should have received a copy of the GNU General Public License and
a copy of the GCC Runtime Library Exception along with this program;
see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
<http://www.gnu.org/licenses/>. */
/* This file handles the (bare) PARALLEL construct. */
#include "libgomp.h"
#include <limits.h>
/* Determine the number of threads to be launched for a PARALLEL construct.
This algorithm is explicitly described in OpenMP 3.0 section 2.4.1.
SPECIFIED is a combination of the NUM_THREADS clause and the IF clause.
If the IF clause is false, SPECIFIED is forced to 1. When NUM_THREADS
is not present, SPECIFIED is 0. */
unsigned
gomp_resolve_num_threads (unsigned specified, unsigned count)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_task_icv *icv;
unsigned threads_requested, max_num_threads, num_threads;
unsigned long busy;
struct gomp_thread_pool *pool;
icv = gomp_icv (false);
if (specified == 1)
return 1;
else if (thr->ts.active_level >= 1 && !icv->nest_var)
return 1;
else if (thr->ts.active_level >= gomp_max_active_levels_var)
return 1;
/* If NUM_THREADS not specified, use nthreads_var. */
if (specified == 0)
threads_requested = icv->nthreads_var;
else
threads_requested = specified;
max_num_threads = threads_requested;
/* If dynamic threads are enabled, bound the number of threads
that we launch. */
if (icv->dyn_var)
{
unsigned dyn = gomp_dynamic_max_threads ();
if (dyn < max_num_threads)
max_num_threads = dyn;
/* Optimization for parallel sections. */
if (count && count < max_num_threads)
max_num_threads = count;
}
/* UINT_MAX stands for infinity. */
if (__builtin_expect (icv->thread_limit_var == UINT_MAX, 1)
|| max_num_threads == 1)
return max_num_threads;
/* The threads_busy counter lives in thread_pool, if there
isn't a thread_pool yet, there must be just one thread
in the contention group. If thr->team is NULL, this isn't
nested parallel, so there is just one thread in the
contention group as well, no need to handle it atomically. */
pool = thr->thread_pool;
if (thr->ts.team == NULL || pool == NULL)
{
num_threads = max_num_threads;
if (num_threads > icv->thread_limit_var)
num_threads = icv->thread_limit_var;
if (pool)
pool->threads_busy = num_threads;
return num_threads;
}
#ifdef HAVE_SYNC_BUILTINS
do
{
busy = pool->threads_busy;
num_threads = max_num_threads;
if (icv->thread_limit_var - busy + 1 < num_threads)
num_threads = icv->thread_limit_var - busy + 1;
}
while (__sync_val_compare_and_swap (&pool->threads_busy,
busy, busy + num_threads - 1)
!= busy);
#else
gomp_mutex_lock (&gomp_managed_threads_lock);
num_threads = max_num_threads;
busy = pool->threads_busy;
if (icv->thread_limit_var - busy + 1 < num_threads)
num_threads = icv->thread_limit_var - busy + 1;
pool->threads_busy += num_threads - 1;
gomp_mutex_unlock (&gomp_managed_threads_lock);
#endif
return num_threads;
}
void
GOMP_parallel_start (void (*fn) (void *), void *data, unsigned num_threads)
{
num_threads = gomp_resolve_num_threads (num_threads, 0);
gomp_team_start (fn, data, num_threads, 0, gomp_new_team (num_threads));
}
void
GOMP_parallel_end (void)
{
struct gomp_task_icv *icv = gomp_icv (false);
if (__builtin_expect (icv->thread_limit_var != UINT_MAX, 0))
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
unsigned int nthreads = team ? team->nthreads : 1;
gomp_team_end ();
if (nthreads > 1)
{
/* If not nested, there is just one thread in the
contention group left, no need for atomicity. */
if (thr->ts.team == NULL)
thr->thread_pool->threads_busy = 1;
else
{
#ifdef HAVE_SYNC_BUILTINS
__sync_fetch_and_add (&thr->thread_pool->threads_busy,
1UL - nthreads);
#else
gomp_mutex_lock (&gomp_managed_threads_lock);
thr->thread_pool->threads_busy -= nthreads - 1;
gomp_mutex_unlock (&gomp_managed_threads_lock);
#endif
}
}
}
else
gomp_team_end ();
}
ialias (GOMP_parallel_end)
void
GOMP_parallel (void (*fn) (void *), void *data, unsigned num_threads, unsigned int flags)
{
num_threads = gomp_resolve_num_threads (num_threads, 0);
gomp_team_start (fn, data, num_threads, flags, gomp_new_team (num_threads));
fn (data);
ialias_call (GOMP_parallel_end) ();
}
bool
GOMP_cancellation_point (int which)
{
if (!gomp_cancel_var)
return false;
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
if (which & (GOMP_CANCEL_LOOP | GOMP_CANCEL_SECTIONS))
{
if (team == NULL)
return false;
return team->work_share_cancelled != 0;
}
else if (which & GOMP_CANCEL_TASKGROUP)
{
if (thr->task->taskgroup && thr->task->taskgroup->cancelled)
return true;
/* FALLTHRU into the GOMP_CANCEL_PARALLEL case,
as #pragma omp cancel parallel also cancels all explicit
tasks. */
}
if (team)
return gomp_team_barrier_cancelled (&team->barrier);
return false;
}
ialias (GOMP_cancellation_point)
bool
GOMP_cancel (int which, bool do_cancel)
{
if (!gomp_cancel_var)
return false;
if (!do_cancel)
return ialias_call (GOMP_cancellation_point) (which);
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
if (which & (GOMP_CANCEL_LOOP | GOMP_CANCEL_SECTIONS))
{
/* In orphaned worksharing region, all we want to cancel
is current thread. */
if (team != NULL)
team->work_share_cancelled = 1;
return true;
}
else if (which & GOMP_CANCEL_TASKGROUP)
{
if (thr->task->taskgroup && !thr->task->taskgroup->cancelled)
{
gomp_mutex_lock (&team->task_lock);
thr->task->taskgroup->cancelled = true;
gomp_mutex_unlock (&team->task_lock);
}
return true;
}
team->team_cancelled = 1;
gomp_team_barrier_cancel (team);
return true;
}
/* The public OpenMP API for thread and team related inquiries. */
int
omp_get_num_threads (void)
{
struct gomp_team *team = gomp_thread ()->ts.team;
return team ? team->nthreads : 1;
}
int
omp_get_thread_num (void)
{
return gomp_thread ()->ts.team_id;
}
/* This wasn't right for OpenMP 2.5. Active region used to be non-zero
when the IF clause doesn't evaluate to false, starting with OpenMP 3.0
it is non-zero with more than one thread in the team. */
int
omp_in_parallel (void)
{
return gomp_thread ()->ts.active_level > 0;
}
int
omp_get_level (void)
{
return gomp_thread ()->ts.level;
}
int
omp_get_ancestor_thread_num (int level)
{
struct gomp_team_state *ts = &gomp_thread ()->ts;
if (level < 0 || level > ts->level)
return -1;
for (level = ts->level - level; level > 0; --level)
ts = &ts->team->prev_ts;
return ts->team_id;
}
int
omp_get_team_size (int level)
{
struct gomp_team_state *ts = &gomp_thread ()->ts;
if (level < 0 || level > ts->level)
return -1;
for (level = ts->level - level; level > 0; --level)
ts = &ts->team->prev_ts;
if (ts->team == NULL)
return 1;
else
return ts->team->nthreads;
}
int
omp_get_active_level (void)
{
return gomp_thread ()->ts.active_level;
}
ialias (omp_get_num_threads)
ialias (omp_get_thread_num)
ialias (omp_in_parallel)
ialias (omp_get_level)
ialias (omp_get_ancestor_thread_num)
ialias (omp_get_team_size)
ialias (omp_get_active_level)
|
Example_task_priority.1.c | /*
* @@name: task_priority.1c
* @@type: C
* @@compilable: yes
* @@linkable: no
* @@expect: success
* @@version: omp_4.5
*/
void compute_array (float *node, int M);
void compute_matrix (float *array, int N, int M)
{
int i;
#pragma omp parallel private(i)
#pragma omp single
{
for (i=0;i<N; i++) {
#pragma omp task priority(i)
compute_array(&array[i*M], M);
}
}
}
|
munit.c | /* Copyright (c) 2013-2018 Evan Nemerson <evan@nemerson.com>
*
* 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.
*/
/*** Configuration ***/
/* This is just where the output from the test goes. It's really just
* meant to let you choose stdout or stderr, but if anyone really want
* to direct it to a file let me know, it would be fairly easy to
* support. */
#if !defined(MUNIT_OUTPUT_FILE)
# define MUNIT_OUTPUT_FILE stdout
#endif
/* This is a bit more useful; it tells µnit how to format the seconds in
* timed tests. If your tests run for longer you might want to reduce
* it, and if your computer is really fast and your tests are tiny you
* can increase it. */
#if !defined(MUNIT_TEST_TIME_FORMAT)
# define MUNIT_TEST_TIME_FORMAT "0.8f"
#endif
/* If you have long test names you might want to consider bumping
* this. The result information takes 43 characters. */
#if !defined(MUNIT_TEST_NAME_LEN)
# define MUNIT_TEST_NAME_LEN 37
#endif
/* If you don't like the timing information, you can disable it by
* defining MUNIT_DISABLE_TIMING. */
#if !defined(MUNIT_DISABLE_TIMING)
# define MUNIT_ENABLE_TIMING
#endif
/*** End configuration ***/
#if defined(_POSIX_C_SOURCE) && (_POSIX_C_SOURCE < 200809L)
# undef _POSIX_C_SOURCE
#endif
#if !defined(_POSIX_C_SOURCE)
# define _POSIX_C_SOURCE 200809L
#endif
/* Solaris freaks out if you try to use a POSIX or SUS standard without
* the "right" C standard. */
#if defined(_XOPEN_SOURCE)
# undef _XOPEN_SOURCE
#endif
#if defined(__STDC_VERSION__)
# if __STDC_VERSION__ >= 201112L
# define _XOPEN_SOURCE 700
# elif __STDC_VERSION__ >= 199901L
# define _XOPEN_SOURCE 600
# endif
#endif
/* Because, according to Microsoft, POSIX is deprecated. You've got
* to appreciate the chutzpah. */
#if defined(_MSC_VER) && !defined(_CRT_NONSTDC_NO_DEPRECATE)
# define _CRT_NONSTDC_NO_DEPRECATE
#endif
#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L)
# include <stdbool.h>
#elif defined(_WIN32)
/* https://msdn.microsoft.com/en-us/library/tf4dy80a.aspx */
#endif
#include <limits.h>
#include <time.h>
#include <errno.h>
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include <stdarg.h>
#include <setjmp.h>
#if !defined(MUNIT_NO_NL_LANGINFO) && !defined(_WIN32)
#define MUNIT_NL_LANGINFO
#include <locale.h>
#include <langinfo.h>
#include <strings.h>
#endif
#if !defined(_WIN32)
# include <unistd.h>
# include <sys/types.h>
# include <sys/wait.h>
#else
# include <windows.h>
# include <io.h>
# include <fcntl.h>
# if !defined(STDERR_FILENO)
# define STDERR_FILENO _fileno(stderr)
# endif
#endif
#include "munit.h"
#define MUNIT_STRINGIFY(x) #x
#define MUNIT_XSTRINGIFY(x) MUNIT_STRINGIFY(x)
#if defined(__GNUC__) || defined(__INTEL_COMPILER) || defined(__SUNPRO_CC) || defined(__IBMCPP__)
# define MUNIT_THREAD_LOCAL __thread
#elif (defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201102L)) || defined(_Thread_local)
# define MUNIT_THREAD_LOCAL _Thread_local
#elif defined(_WIN32)
# define MUNIT_THREAD_LOCAL __declspec(thread)
#endif
/* MSVC 12.0 will emit a warning at /W4 for code like 'do { ... }
* while (0)', or 'do { ... } while (true)'. I'm pretty sure nobody
* at Microsoft compiles with /W4. */
#if defined(_MSC_VER) && (_MSC_VER <= 1800)
#pragma warning(disable: 4127)
#endif
#if defined(_WIN32) || defined(__EMSCRIPTEN__)
# define MUNIT_NO_FORK
#endif
#if defined(__EMSCRIPTEN__)
# define MUNIT_NO_BUFFER
#endif
/*** Logging ***/
static MunitLogLevel munit_log_level_visible = MUNIT_LOG_INFO;
static MunitLogLevel munit_log_level_fatal = MUNIT_LOG_ERROR;
#if defined(MUNIT_THREAD_LOCAL)
static MUNIT_THREAD_LOCAL bool munit_error_jmp_buf_valid = false;
static MUNIT_THREAD_LOCAL jmp_buf munit_error_jmp_buf;
#endif
#if defined(MUNIT_THREAD_LOCAL) && defined(MUNIT_ALWAYS_TEAR_DOWN)
static MUNIT_THREAD_LOCAL bool munit_tear_down_jmp_buf_valid = false;
static MUNIT_THREAD_LOCAL jmp_buf munit_tear_down_jmp_buf;
#endif
/* At certain warning levels, mingw will trigger warnings about
* suggesting the format attribute, which we've explicity *not* set
* because it will then choke on our attempts to use the MS-specific
* I64 modifier for size_t (which we have to use since MSVC doesn't
* support the C99 z modifier). */
#if defined(__MINGW32__) || defined(__MINGW64__)
# pragma GCC diagnostic push
# pragma GCC diagnostic ignored "-Wsuggest-attribute=format"
#endif
MUNIT_PRINTF(5,0)
static void
munit_logf_exv(MunitLogLevel level, FILE* fp, const char* filename, int line, const char* format, va_list ap) {
if (level < munit_log_level_visible)
return;
switch (level) {
case MUNIT_LOG_DEBUG:
fputs("Debug", fp);
break;
case MUNIT_LOG_INFO:
fputs("Info", fp);
break;
case MUNIT_LOG_WARNING:
fputs("Warning", fp);
break;
case MUNIT_LOG_ERROR:
fputs("Error", fp);
break;
default:
munit_logf_ex(MUNIT_LOG_ERROR, filename, line, "Invalid log level (%d)", level);
return;
}
fputs(": ", fp);
if (filename != NULL)
fprintf(fp, "%s:%d: ", filename, line);
vfprintf(fp, format, ap);
fputc('\n', fp);
}
MUNIT_PRINTF(3,4)
static void
munit_logf_internal(MunitLogLevel level, FILE* fp, const char* format, ...) {
va_list ap;
va_start(ap, format);
munit_logf_exv(level, fp, NULL, 0, format, ap);
va_end(ap);
}
static void
munit_log_internal(MunitLogLevel level, FILE* fp, const char* message) {
munit_logf_internal(level, fp, "%s", message);
}
void
munit_logf_ex(MunitLogLevel level, const char* filename, int line, const char* format, ...) {
va_list ap;
va_start(ap, format);
munit_logf_exv(level, stderr, filename, line, format, ap);
va_end(ap);
if (level >= munit_log_level_fatal) {
#if defined(MUNIT_THREAD_LOCAL)
if (munit_error_jmp_buf_valid)
longjmp(munit_error_jmp_buf, 1);
#endif
abort();
}
}
void
munit_errorf_ex(const char* filename, int line, const char* format, ...) {
va_list ap;
va_start(ap, format);
munit_logf_exv(MUNIT_LOG_ERROR, stderr, filename, line, format, ap);
va_end(ap);
#if defined(MUNIT_THREAD_LOCAL) && defined(MUNIT_ALWAYS_TEAR_DOWN)
if (munit_tear_down_jmp_buf_valid)
longjmp(munit_tear_down_jmp_buf, 1);
#endif
#if defined(MUNIT_THREAD_LOCAL)
if (munit_error_jmp_buf_valid)
longjmp(munit_error_jmp_buf, 1);
#endif
abort();
}
#if defined(__MINGW32__) || defined(__MINGW64__)
#pragma GCC diagnostic pop
#endif
#if !defined(MUNIT_STRERROR_LEN)
# define MUNIT_STRERROR_LEN 80
#endif
static void
munit_log_errno(MunitLogLevel level, FILE* fp, const char* msg) {
#if defined(MUNIT_NO_STRERROR_R) || (defined(__MINGW32__) && !defined(MINGW_HAS_SECURE_API))
munit_logf_internal(level, fp, "%s: %s (%d)", msg, strerror(errno), errno);
#else
char munit_error_str[MUNIT_STRERROR_LEN];
munit_error_str[0] = '\0';
#if !defined(_WIN32)
strerror_r(errno, munit_error_str, MUNIT_STRERROR_LEN);
#else
strerror_s(munit_error_str, MUNIT_STRERROR_LEN, errno);
#endif
munit_logf_internal(level, fp, "%s: %s (%d)", msg, munit_error_str, errno);
#endif
}
/*** Memory allocation ***/
void*
munit_malloc_ex(const char* filename, int line, size_t size) {
void* ptr;
if (size == 0)
return NULL;
ptr = calloc(1, size);
if (MUNIT_UNLIKELY(ptr == NULL)) {
munit_logf_ex(MUNIT_LOG_ERROR, filename, line, "Failed to allocate %" MUNIT_SIZE_MODIFIER "u bytes.", size);
}
return ptr;
}
/*** Timer code ***/
#if defined(MUNIT_ENABLE_TIMING)
#define psnip_uint64_t munit_uint64_t
#define psnip_uint32_t munit_uint32_t
/* Code copied from portable-snippets
* <https://github.com/nemequ/portable-snippets/>. If you need to
* change something, please do it there so we can keep the code in
* sync. */
/* Clocks (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/
*/
#if !defined(PSNIP_CLOCK_H)
#define PSNIP_CLOCK_H
#if !defined(psnip_uint64_t)
# include "../exact-int/exact-int.h"
#endif
#if !defined(PSNIP_CLOCK_STATIC_INLINE)
# if defined(__GNUC__)
# define PSNIP_CLOCK__COMPILER_ATTRIBUTES __attribute__((__unused__))
# else
# define PSNIP_CLOCK__COMPILER_ATTRIBUTES
# endif
# define PSNIP_CLOCK__FUNCTION PSNIP_CLOCK__COMPILER_ATTRIBUTES static
#endif
enum PsnipClockType {
/* This clock provides the current time, in units since 1970-01-01
* 00:00:00 UTC not including leap seconds. In other words, UNIX
* time. Keep in mind that this clock doesn't account for leap
* seconds, and can go backwards (think NTP adjustments). */
PSNIP_CLOCK_TYPE_WALL = 1,
/* The CPU time is a clock which increases only when the current
* process is active (i.e., it doesn't increment while blocking on
* I/O). */
PSNIP_CLOCK_TYPE_CPU = 2,
/* Monotonic time is always running (unlike CPU time), but it only
ever moves forward unless you reboot the system. Things like NTP
adjustments have no effect on this clock. */
PSNIP_CLOCK_TYPE_MONOTONIC = 3
};
struct PsnipClockTimespec {
psnip_uint64_t seconds;
psnip_uint64_t nanoseconds;
};
/* Methods we support: */
#define PSNIP_CLOCK_METHOD_CLOCK_GETTIME 1
#define PSNIP_CLOCK_METHOD_TIME 2
#define PSNIP_CLOCK_METHOD_GETTIMEOFDAY 3
#define PSNIP_CLOCK_METHOD_QUERYPERFORMANCECOUNTER 4
#define PSNIP_CLOCK_METHOD_MACH_ABSOLUTE_TIME 5
#define PSNIP_CLOCK_METHOD_CLOCK 6
#define PSNIP_CLOCK_METHOD_GETPROCESSTIMES 7
#define PSNIP_CLOCK_METHOD_GETRUSAGE 8
#define PSNIP_CLOCK_METHOD_GETSYSTEMTIMEPRECISEASFILETIME 9
#define PSNIP_CLOCK_METHOD_GETTICKCOUNT64 10
#include <assert.h>
#if defined(HEDLEY_UNREACHABLE)
# define PSNIP_CLOCK_UNREACHABLE() HEDLEY_UNREACHABLE()
#else
# define PSNIP_CLOCK_UNREACHABLE() assert(0)
#endif
/* Choose an implementation */
/* #undef PSNIP_CLOCK_WALL_METHOD */
/* #undef PSNIP_CLOCK_CPU_METHOD */
/* #undef PSNIP_CLOCK_MONOTONIC_METHOD */
/* We want to be able to detect the libc implementation, so we include
<limits.h> (<features.h> isn't available everywhere). */
#if defined(__unix__) || defined(__unix) || defined(__linux__)
# include <limits.h>
# include <unistd.h>
#endif
#if defined(_POSIX_TIMERS) && (_POSIX_TIMERS > 0)
/* These are known to work without librt. If you know of others
* please let us know so we can add them. */
# if \
(defined(__GLIBC__) && (__GLIBC__ > 2 || (__GLIBC__ == 2 && __GLIBC_MINOR__ >= 17))) || \
(defined(__FreeBSD__))
# define PSNIP_CLOCK_HAVE_CLOCK_GETTIME
# elif !defined(PSNIP_CLOCK_NO_LIBRT)
# define PSNIP_CLOCK_HAVE_CLOCK_GETTIME
# endif
#endif
#if defined(_WIN32)
# if !defined(PSNIP_CLOCK_CPU_METHOD)
# define PSNIP_CLOCK_CPU_METHOD PSNIP_CLOCK_METHOD_GETPROCESSTIMES
# endif
# if !defined(PSNIP_CLOCK_MONOTONIC_METHOD)
# define PSNIP_CLOCK_MONOTONIC_METHOD PSNIP_CLOCK_METHOD_QUERYPERFORMANCECOUNTER
# endif
#endif
#if defined(__MACH__) && !defined(__gnu_hurd__)
# if !defined(PSNIP_CLOCK_MONOTONIC_METHOD)
# define PSNIP_CLOCK_MONOTONIC_METHOD PSNIP_CLOCK_METHOD_MACH_ABSOLUTE_TIME
# endif
#endif
#if defined(PSNIP_CLOCK_HAVE_CLOCK_GETTIME)
# include <time.h>
# if !defined(PSNIP_CLOCK_WALL_METHOD)
# if defined(CLOCK_REALTIME_PRECISE)
# define PSNIP_CLOCK_WALL_METHOD PSNIP_CLOCK_METHOD_CLOCK_GETTIME
# define PSNIP_CLOCK_CLOCK_GETTIME_WALL CLOCK_REALTIME_PRECISE
# elif !defined(__sun)
# define PSNIP_CLOCK_WALL_METHOD PSNIP_CLOCK_METHOD_CLOCK_GETTIME
# define PSNIP_CLOCK_CLOCK_GETTIME_WALL CLOCK_REALTIME
# endif
# endif
# if !defined(PSNIP_CLOCK_CPU_METHOD)
# if defined(_POSIX_CPUTIME) || defined(CLOCK_PROCESS_CPUTIME_ID)
# define PSNIP_CLOCK_CPU_METHOD PSNIP_CLOCK_METHOD_CLOCK_GETTIME
# define PSNIP_CLOCK_CLOCK_GETTIME_CPU CLOCK_PROCESS_CPUTIME_ID
# elif defined(CLOCK_VIRTUAL)
# define PSNIP_CLOCK_CPU_METHOD PSNIP_CLOCK_METHOD_CLOCK_GETTIME
# define PSNIP_CLOCK_CLOCK_GETTIME_CPU CLOCK_VIRTUAL
# endif
# endif
# if !defined(PSNIP_CLOCK_MONOTONIC_METHOD)
# if defined(CLOCK_MONOTONIC_RAW)
# define PSNIP_CLOCK_MONOTONIC_METHOD PSNIP_CLOCK_METHOD_CLOCK_GETTIME
# define PSNIP_CLOCK_CLOCK_GETTIME_MONOTONIC CLOCK_MONOTONIC
# elif defined(CLOCK_MONOTONIC_PRECISE)
# define PSNIP_CLOCK_MONOTONIC_METHOD PSNIP_CLOCK_METHOD_CLOCK_GETTIME
# define PSNIP_CLOCK_CLOCK_GETTIME_MONOTONIC CLOCK_MONOTONIC_PRECISE
# elif defined(_POSIX_MONOTONIC_CLOCK) || defined(CLOCK_MONOTONIC)
# define PSNIP_CLOCK_MONOTONIC_METHOD PSNIP_CLOCK_METHOD_CLOCK_GETTIME
# define PSNIP_CLOCK_CLOCK_GETTIME_MONOTONIC CLOCK_MONOTONIC
# endif
# endif
#endif
#if defined(_POSIX_VERSION) && (_POSIX_VERSION >= 200112L)
# if !defined(PSNIP_CLOCK_WALL_METHOD)
# define PSNIP_CLOCK_WALL_METHOD PSNIP_CLOCK_METHOD_GETTIMEOFDAY
# endif
#endif
#if !defined(PSNIP_CLOCK_WALL_METHOD)
# define PSNIP_CLOCK_WALL_METHOD PSNIP_CLOCK_METHOD_TIME
#endif
#if !defined(PSNIP_CLOCK_CPU_METHOD)
# define PSNIP_CLOCK_CPU_METHOD PSNIP_CLOCK_METHOD_CLOCK
#endif
/* Primarily here for testing. */
#if !defined(PSNIP_CLOCK_MONOTONIC_METHOD) && defined(PSNIP_CLOCK_REQUIRE_MONOTONIC)
# error No monotonic clock found.
#endif
/* Implementations */
#if \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME)) || \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_CLOCK)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_CLOCK)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_CLOCK)) || \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_TIME)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_TIME)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_TIME))
# include <time.h>
#endif
#if \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_GETTIMEOFDAY)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_GETTIMEOFDAY)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_GETTIMEOFDAY))
# include <sys/time.h>
#endif
#if \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_GETPROCESSTIMES)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_GETPROCESSTIMES)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_GETPROCESSTIMES)) || \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_GETTICKCOUNT64)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_GETTICKCOUNT64)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_GETTICKCOUNT64))
# include <windows.h>
#endif
#if \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_GETRUSAGE)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_GETRUSAGE)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_GETRUSAGE))
# include <sys/time.h>
# include <sys/resource.h>
#endif
#if \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_MACH_ABSOLUTE_TIME)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_MACH_ABSOLUTE_TIME)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_MACH_ABSOLUTE_TIME))
# include <CoreServices/CoreServices.h>
# include <mach/mach.h>
# include <mach/mach_time.h>
#endif
/*** Implementations ***/
#define PSNIP_CLOCK_NSEC_PER_SEC ((psnip_uint32_t) (1000000000ULL))
#if \
(defined(PSNIP_CLOCK_CPU_METHOD) && (PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME)) || \
(defined(PSNIP_CLOCK_WALL_METHOD) && (PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME)) || \
(defined(PSNIP_CLOCK_MONOTONIC_METHOD) && (PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME))
PSNIP_CLOCK__FUNCTION psnip_uint32_t
psnip_clock__clock_getres (clockid_t clk_id) {
struct timespec res;
int r;
r = clock_getres(clk_id, &res);
if (r != 0)
return 0;
return (psnip_uint32_t) (PSNIP_CLOCK_NSEC_PER_SEC / res.tv_nsec);
}
PSNIP_CLOCK__FUNCTION int
psnip_clock__clock_gettime (clockid_t clk_id, struct PsnipClockTimespec* res) {
struct timespec ts;
if (clock_gettime(clk_id, &ts) != 0)
return -10;
res->seconds = (psnip_uint64_t) (ts.tv_sec);
res->nanoseconds = (psnip_uint64_t) (ts.tv_nsec);
return 0;
}
#endif
PSNIP_CLOCK__FUNCTION psnip_uint32_t
psnip_clock_wall_get_precision (void) {
#if !defined(PSNIP_CLOCK_WALL_METHOD)
return 0;
#elif defined(PSNIP_CLOCK_WALL_METHOD) && PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME
return psnip_clock__clock_getres(PSNIP_CLOCK_CLOCK_GETTIME_WALL);
#elif defined(PSNIP_CLOCK_WALL_METHOD) && PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_GETTIMEOFDAY
return 1000000;
#elif defined(PSNIP_CLOCK_WALL_METHOD) && PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_TIME
return 1;
#else
return 0;
#endif
}
PSNIP_CLOCK__FUNCTION int
psnip_clock_wall_get_time (struct PsnipClockTimespec* res) {
(void) res;
#if !defined(PSNIP_CLOCK_WALL_METHOD)
return -2;
#elif defined(PSNIP_CLOCK_WALL_METHOD) && PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME
return psnip_clock__clock_gettime(PSNIP_CLOCK_CLOCK_GETTIME_WALL, res);
#elif defined(PSNIP_CLOCK_WALL_METHOD) && PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_TIME
res->seconds = time(NULL);
res->nanoseconds = 0;
#elif defined(PSNIP_CLOCK_WALL_METHOD) && PSNIP_CLOCK_WALL_METHOD == PSNIP_CLOCK_METHOD_GETTIMEOFDAY
struct timeval tv;
if (gettimeofday(&tv, NULL) != 0)
return -6;
res->seconds = tv.tv_sec;
res->nanoseconds = tv.tv_usec * 1000;
#else
return -2;
#endif
return 0;
}
PSNIP_CLOCK__FUNCTION psnip_uint32_t
psnip_clock_cpu_get_precision (void) {
#if !defined(PSNIP_CLOCK_CPU_METHOD)
return 0;
#elif defined(PSNIP_CLOCK_CPU_METHOD) && PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME
return psnip_clock__clock_getres(PSNIP_CLOCK_CLOCK_GETTIME_CPU);
#elif defined(PSNIP_CLOCK_CPU_METHOD) && PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_CLOCK
return CLOCKS_PER_SEC;
#elif defined(PSNIP_CLOCK_CPU_METHOD) && PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_GETPROCESSTIMES
return PSNIP_CLOCK_NSEC_PER_SEC / 100;
#else
return 0;
#endif
}
PSNIP_CLOCK__FUNCTION int
psnip_clock_cpu_get_time (struct PsnipClockTimespec* res) {
#if !defined(PSNIP_CLOCK_CPU_METHOD)
(void) res;
return -2;
#elif defined(PSNIP_CLOCK_CPU_METHOD) && PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME
return psnip_clock__clock_gettime(PSNIP_CLOCK_CLOCK_GETTIME_CPU, res);
#elif defined(PSNIP_CLOCK_CPU_METHOD) && PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_CLOCK
clock_t t = clock();
if (t == ((clock_t) -1))
return -5;
res->seconds = t / CLOCKS_PER_SEC;
res->nanoseconds = (t % CLOCKS_PER_SEC) * (PSNIP_CLOCK_NSEC_PER_SEC / CLOCKS_PER_SEC);
#elif defined(PSNIP_CLOCK_CPU_METHOD) && PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_GETPROCESSTIMES
FILETIME CreationTime, ExitTime, KernelTime, UserTime;
LARGE_INTEGER date, adjust;
if (!GetProcessTimes(GetCurrentProcess(), &CreationTime, &ExitTime, &KernelTime, &UserTime))
return -7;
/* http://www.frenk.com/2009/12/convert-filetime-to-unix-timestamp/ */
date.HighPart = UserTime.dwHighDateTime;
date.LowPart = UserTime.dwLowDateTime;
adjust.QuadPart = 11644473600000 * 10000;
date.QuadPart -= adjust.QuadPart;
res->seconds = date.QuadPart / 10000000;
res->nanoseconds = (date.QuadPart % 10000000) * (PSNIP_CLOCK_NSEC_PER_SEC / 100);
#elif PSNIP_CLOCK_CPU_METHOD == PSNIP_CLOCK_METHOD_GETRUSAGE
struct rusage usage;
if (getrusage(RUSAGE_SELF, &usage) != 0)
return -8;
res->seconds = usage.ru_utime.tv_sec;
res->nanoseconds = tv.tv_usec * 1000;
#else
(void) res;
return -2;
#endif
return 0;
}
PSNIP_CLOCK__FUNCTION psnip_uint32_t
psnip_clock_monotonic_get_precision (void) {
#if !defined(PSNIP_CLOCK_MONOTONIC_METHOD)
return 0;
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME
return psnip_clock__clock_getres(PSNIP_CLOCK_CLOCK_GETTIME_MONOTONIC);
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_MACH_ABSOLUTE_TIME
static mach_timebase_info_data_t tbi = { 0, };
if (tbi.denom == 0)
mach_timebase_info(&tbi);
return (psnip_uint32_t) (tbi.numer / tbi.denom);
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_GETTICKCOUNT64
return 1000;
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_QUERYPERFORMANCECOUNTER
LARGE_INTEGER Frequency;
QueryPerformanceFrequency(&Frequency);
return (psnip_uint32_t) ((Frequency.QuadPart > PSNIP_CLOCK_NSEC_PER_SEC) ? PSNIP_CLOCK_NSEC_PER_SEC : Frequency.QuadPart);
#else
return 0;
#endif
}
PSNIP_CLOCK__FUNCTION int
psnip_clock_monotonic_get_time (struct PsnipClockTimespec* res) {
#if !defined(PSNIP_CLOCK_MONOTONIC_METHOD)
(void) res;
return -2;
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_CLOCK_GETTIME
return psnip_clock__clock_gettime(PSNIP_CLOCK_CLOCK_GETTIME_MONOTONIC, res);
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_MACH_ABSOLUTE_TIME
psnip_uint64_t nsec = mach_absolute_time();
static mach_timebase_info_data_t tbi = { 0, };
if (tbi.denom == 0)
mach_timebase_info(&tbi);
nsec *= ((psnip_uint64_t) tbi.numer) / ((psnip_uint64_t) tbi.denom);
res->seconds = nsec / PSNIP_CLOCK_NSEC_PER_SEC;
res->nanoseconds = nsec % PSNIP_CLOCK_NSEC_PER_SEC;
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_QUERYPERFORMANCECOUNTER
LARGE_INTEGER t, f;
if (QueryPerformanceCounter(&t) == 0)
return -12;
QueryPerformanceFrequency(&f);
res->seconds = t.QuadPart / f.QuadPart;
res->nanoseconds = t.QuadPart % f.QuadPart;
if (f.QuadPart > PSNIP_CLOCK_NSEC_PER_SEC)
res->nanoseconds /= f.QuadPart / PSNIP_CLOCK_NSEC_PER_SEC;
else
res->nanoseconds *= PSNIP_CLOCK_NSEC_PER_SEC / f.QuadPart;
#elif defined(PSNIP_CLOCK_MONOTONIC_METHOD) && PSNIP_CLOCK_MONOTONIC_METHOD == PSNIP_CLOCK_METHOD_GETTICKCOUNT64
const ULONGLONG msec = GetTickCount64();
res->seconds = msec / 1000;
res->nanoseconds = sec % 1000;
#else
return -2;
#endif
return 0;
}
/* Returns the number of ticks per second for the specified clock.
* For example, a clock with millisecond precision would return 1000,
* and a clock with 1 second (such as the time() function) would
* return 1.
*
* If the requested clock isn't available, it will return 0.
* Hopefully this will be rare, but if it happens to you please let us
* know so we can work on finding a way to support your system.
*
* Note that different clocks on the same system often have a
* different precisions.
*/
PSNIP_CLOCK__FUNCTION psnip_uint32_t
psnip_clock_get_precision (enum PsnipClockType clock_type) {
switch (clock_type) {
case PSNIP_CLOCK_TYPE_MONOTONIC:
return psnip_clock_monotonic_get_precision ();
case PSNIP_CLOCK_TYPE_CPU:
return psnip_clock_cpu_get_precision ();
case PSNIP_CLOCK_TYPE_WALL:
return psnip_clock_wall_get_precision ();
}
PSNIP_CLOCK_UNREACHABLE();
return 0;
}
/* Set the provided timespec to the requested time. Returns 0 on
* success, or a negative value on failure. */
PSNIP_CLOCK__FUNCTION int
psnip_clock_get_time (enum PsnipClockType clock_type, struct PsnipClockTimespec* res) {
assert(res != NULL);
switch (clock_type) {
case PSNIP_CLOCK_TYPE_MONOTONIC:
return psnip_clock_monotonic_get_time (res);
case PSNIP_CLOCK_TYPE_CPU:
return psnip_clock_cpu_get_time (res);
case PSNIP_CLOCK_TYPE_WALL:
return psnip_clock_wall_get_time (res);
}
return -1;
}
#endif /* !defined(PSNIP_CLOCK_H) */
static psnip_uint64_t
munit_clock_get_elapsed(struct PsnipClockTimespec* start, struct PsnipClockTimespec* end) {
psnip_uint64_t r = (end->seconds - start->seconds) * PSNIP_CLOCK_NSEC_PER_SEC;
if (end->nanoseconds < start->nanoseconds) {
r -= (start->nanoseconds - end->nanoseconds);
} else {
r += (end->nanoseconds - start->nanoseconds);
}
return r;
}
#else
# include <time.h>
#endif /* defined(MUNIT_ENABLE_TIMING) */
/*** PRNG stuff ***/
/* This is (unless I screwed up, which is entirely possible) the
* version of PCG with 32-bit state. It was chosen because it has a
* small enough state that we should reliably be able to use CAS
* instead of requiring a lock for thread-safety.
*
* If I did screw up, I probably will not bother changing it unless
* there is a significant bias. It's really not important this be
* particularly strong, as long as it is fairly random it's much more
* important that it be reproducible, so bug reports have a better
* chance of being reproducible. */
#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201112L) && !defined(__STDC_NO_ATOMICS__) && !defined(__EMSCRIPTEN__) && (!defined(__GNUC_MINOR__) || (__GNUC__ > 4) || (__GNUC__ == 4 && __GNUC_MINOR__ > 8))
# define HAVE_STDATOMIC
#elif defined(__clang__)
# if __has_extension(c_atomic)
# define HAVE_CLANG_ATOMICS
# endif
#endif
/* Workaround for http://llvm.org/bugs/show_bug.cgi?id=26911 */
#if defined(__clang__) && defined(_WIN32)
# undef HAVE_STDATOMIC
# if defined(__c2__)
# undef HAVE_CLANG_ATOMICS
# endif
#endif
#if defined(_OPENMP)
# define ATOMIC_UINT32_T uint32_t
# define ATOMIC_UINT32_INIT(x) (x)
#elif defined(HAVE_STDATOMIC)
# include <stdatomic.h>
# define ATOMIC_UINT32_T _Atomic uint32_t
# define ATOMIC_UINT32_INIT(x) ATOMIC_VAR_INIT(x)
#elif defined(HAVE_CLANG_ATOMICS)
# define ATOMIC_UINT32_T _Atomic uint32_t
# define ATOMIC_UINT32_INIT(x) (x)
#elif defined(_WIN32)
# define ATOMIC_UINT32_T volatile LONG
# define ATOMIC_UINT32_INIT(x) (x)
#else
# define ATOMIC_UINT32_T volatile uint32_t
# define ATOMIC_UINT32_INIT(x) (x)
#endif
static ATOMIC_UINT32_T munit_rand_state = ATOMIC_UINT32_INIT(42);
#if defined(_OPENMP)
static inline void
munit_atomic_store(ATOMIC_UINT32_T* dest, ATOMIC_UINT32_T value) {
#pragma omp critical (munit_atomics)
*dest = value;
}
static inline uint32_t
munit_atomic_load(ATOMIC_UINT32_T* src) {
int ret;
#pragma omp critical (munit_atomics)
ret = *src;
return ret;
}
static inline uint32_t
munit_atomic_cas(ATOMIC_UINT32_T* dest, ATOMIC_UINT32_T* expected, ATOMIC_UINT32_T desired) {
bool ret;
#pragma omp critical (munit_atomics)
{
if (*dest == *expected) {
*dest = desired;
ret = true;
} else {
ret = false;
}
}
return ret;
}
#elif defined(HAVE_STDATOMIC)
# define munit_atomic_store(dest, value) atomic_store(dest, value)
# define munit_atomic_load(src) atomic_load(src)
# define munit_atomic_cas(dest, expected, value) atomic_compare_exchange_weak(dest, expected, value)
#elif defined(HAVE_CLANG_ATOMICS)
# define munit_atomic_store(dest, value) __c11_atomic_store(dest, value, __ATOMIC_SEQ_CST)
# define munit_atomic_load(src) __c11_atomic_load(src, __ATOMIC_SEQ_CST)
# define munit_atomic_cas(dest, expected, value) __c11_atomic_compare_exchange_weak(dest, expected, value, __ATOMIC_SEQ_CST, __ATOMIC_SEQ_CST)
#elif defined(__GNUC__) && (__GNUC__ > 4) || (__GNUC__ == 4 && __GNUC_MINOR__ >= 7)
# define munit_atomic_store(dest, value) __atomic_store_n(dest, value, __ATOMIC_SEQ_CST)
# define munit_atomic_load(src) __atomic_load_n(src, __ATOMIC_SEQ_CST)
# define munit_atomic_cas(dest, expected, value) __atomic_compare_exchange_n(dest, expected, value, true, __ATOMIC_SEQ_CST, __ATOMIC_SEQ_CST)
#elif defined(__GNUC__) && (__GNUC__ >= 4)
# define munit_atomic_store(dest,value) do { *(dest) = (value); } while (0)
# define munit_atomic_load(src) (*(src))
# define munit_atomic_cas(dest, expected, value) __sync_bool_compare_and_swap(dest, *expected, value)
#elif defined(_WIN32) /* Untested */
# define munit_atomic_store(dest,value) do { *(dest) = (value); } while (0)
# define munit_atomic_load(src) (*(src))
# define munit_atomic_cas(dest, expected, value) InterlockedCompareExchange((dest), (value), *(expected))
#else
# warning No atomic implementation, PRNG will not be thread-safe
# define munit_atomic_store(dest, value) do { *(dest) = (value); } while (0)
# define munit_atomic_load(src) (*(src))
static inline bool
munit_atomic_cas(ATOMIC_UINT32_T* dest, ATOMIC_UINT32_T* expected, ATOMIC_UINT32_T desired) {
if (*dest == *expected) {
*dest = desired;
return true;
} else {
return false;
}
}
#endif
#define MUNIT_PRNG_MULTIPLIER (747796405U)
#define MUNIT_PRNG_INCREMENT (1729U)
static munit_uint32_t
munit_rand_next_state(munit_uint32_t state) {
return state * MUNIT_PRNG_MULTIPLIER + MUNIT_PRNG_INCREMENT;
}
static munit_uint32_t
munit_rand_from_state(munit_uint32_t state) {
munit_uint32_t res = ((state >> ((state >> 28) + 4)) ^ state) * (277803737U);
res ^= res >> 22;
return res;
}
void
munit_rand_seed(munit_uint32_t seed) {
munit_uint32_t state = munit_rand_next_state(seed + MUNIT_PRNG_INCREMENT);
munit_atomic_store(&munit_rand_state, state);
}
static munit_uint32_t
munit_rand_generate_seed(void) {
munit_uint32_t seed, state;
#if defined(MUNIT_ENABLE_TIMING)
struct PsnipClockTimespec wc = { 0, };
psnip_clock_get_time(PSNIP_CLOCK_TYPE_WALL, &wc);
seed = (munit_uint32_t) wc.nanoseconds;
#else
seed = (munit_uint32_t) time(NULL);
#endif
state = munit_rand_next_state(seed + MUNIT_PRNG_INCREMENT);
return munit_rand_from_state(state);
}
static munit_uint32_t
munit_rand_state_uint32(munit_uint32_t* state) {
const munit_uint32_t old = *state;
*state = munit_rand_next_state(old);
return munit_rand_from_state(old);
}
munit_uint32_t
munit_rand_uint32(void) {
munit_uint32_t old, state;
do {
old = munit_atomic_load(&munit_rand_state);
state = munit_rand_next_state(old);
} while (!munit_atomic_cas(&munit_rand_state, &old, state));
return munit_rand_from_state(old);
}
static void
munit_rand_state_memory(munit_uint32_t* state, size_t size, munit_uint8_t data[MUNIT_ARRAY_PARAM(size)]) {
size_t members_remaining = size / sizeof(munit_uint32_t);
size_t bytes_remaining = size % sizeof(munit_uint32_t);
munit_uint8_t* b = data;
munit_uint32_t rv;
while (members_remaining-- > 0) {
rv = munit_rand_state_uint32(state);
memcpy(b, &rv, sizeof(munit_uint32_t));
b += sizeof(munit_uint32_t);
}
if (bytes_remaining != 0) {
rv = munit_rand_state_uint32(state);
memcpy(b, &rv, bytes_remaining);
}
}
void
munit_rand_memory(size_t size, munit_uint8_t data[MUNIT_ARRAY_PARAM(size)]) {
munit_uint32_t old, state;
do {
state = old = munit_atomic_load(&munit_rand_state);
munit_rand_state_memory(&state, size, data);
} while (!munit_atomic_cas(&munit_rand_state, &old, state));
}
static munit_uint32_t
munit_rand_state_at_most(munit_uint32_t* state, munit_uint32_t salt, munit_uint32_t max) {
/* We want (UINT32_MAX + 1) % max, which in unsigned arithmetic is the same
* as (UINT32_MAX + 1 - max) % max = -max % max. We compute -max using not
* to avoid compiler warnings.
*/
const munit_uint32_t min = (~max + 1U) % max;
munit_uint32_t x;
if (max == (~((munit_uint32_t) 0U)))
return munit_rand_state_uint32(state) ^ salt;
max++;
do {
x = munit_rand_state_uint32(state) ^ salt;
} while (x < min);
return x % max;
}
static munit_uint32_t
munit_rand_at_most(munit_uint32_t salt, munit_uint32_t max) {
munit_uint32_t old, state;
munit_uint32_t retval;
do {
state = old = munit_atomic_load(&munit_rand_state);
retval = munit_rand_state_at_most(&state, salt, max);
} while (!munit_atomic_cas(&munit_rand_state, &old, state));
return retval;
}
int
munit_rand_int_range(int min, int max) {
munit_uint64_t range = (munit_uint64_t) max - (munit_uint64_t) min;
if (min > max)
return munit_rand_int_range(max, min);
if (range > (~((munit_uint32_t) 0U)))
range = (~((munit_uint32_t) 0U));
return min + munit_rand_at_most(0, (munit_uint32_t) range);
}
double
munit_rand_double(void) {
munit_uint32_t old, state;
double retval = 0.0;
do {
state = old = munit_atomic_load(&munit_rand_state);
/* See http://mumble.net/~campbell/tmp/random_real.c for how to do
* this right. Patches welcome if you feel that this is too
* biased. */
retval = munit_rand_state_uint32(&state) / ((~((munit_uint32_t) 0U)) + 1.0);
} while (!munit_atomic_cas(&munit_rand_state, &old, state));
return retval;
}
/*** Test suite handling ***/
typedef struct {
unsigned int successful;
unsigned int skipped;
unsigned int failed;
unsigned int errored;
#if defined(MUNIT_ENABLE_TIMING)
munit_uint64_t cpu_clock;
munit_uint64_t wall_clock;
#endif
} MunitReport;
typedef struct {
const char* prefix;
const MunitSuite* suite;
const char** tests;
munit_uint32_t seed;
unsigned int iterations;
MunitParameter* parameters;
bool single_parameter_mode;
void* user_data;
MunitReport report;
bool colorize;
bool fork;
bool show_stderr;
bool fatal_failures;
} MunitTestRunner;
const char*
munit_parameters_get(const MunitParameter params[], const char* key) {
const MunitParameter* param;
for (param = params ; param != NULL && param->name != NULL ; param++)
if (strcmp(param->name, key) == 0)
return param->value;
return NULL;
}
#if defined(MUNIT_ENABLE_TIMING)
static void
munit_print_time(FILE* fp, munit_uint64_t nanoseconds) {
fprintf(fp, "%" MUNIT_TEST_TIME_FORMAT, ((double) nanoseconds) / ((double) PSNIP_CLOCK_NSEC_PER_SEC));
}
#endif
/* Add a paramter to an array of parameters. */
static MunitResult
munit_parameters_add(size_t* params_size, MunitParameter* params[MUNIT_ARRAY_PARAM(*params_size)], char* name, char* value) {
*params = realloc(*params, sizeof(MunitParameter) * (*params_size + 2));
if (*params == NULL)
return MUNIT_ERROR;
(*params)[*params_size].name = name;
(*params)[*params_size].value = value;
(*params_size)++;
(*params)[*params_size].name = NULL;
(*params)[*params_size].value = NULL;
return MUNIT_OK;
}
/* Concatenate two strings, but just return one of the components
* unaltered if the other is NULL or "". */
static char*
munit_maybe_concat(size_t* len, char* prefix, char* suffix) {
char* res;
size_t res_l;
const size_t prefix_l = prefix != NULL ? strlen(prefix) : 0;
const size_t suffix_l = suffix != NULL ? strlen(suffix) : 0;
if (prefix_l == 0 && suffix_l == 0) {
res = NULL;
res_l = 0;
} else if (prefix_l == 0 && suffix_l != 0) {
res = suffix;
res_l = suffix_l;
} else if (prefix_l != 0 && suffix_l == 0) {
res = prefix;
res_l = prefix_l;
} else {
res_l = prefix_l + suffix_l;
res = malloc(res_l + 1);
memcpy(res, prefix, prefix_l);
memcpy(res + prefix_l, suffix, suffix_l);
res[res_l] = 0;
}
if (len != NULL)
*len = res_l;
return res;
}
/* Possbily free a string returned by munit_maybe_concat. */
static void
munit_maybe_free_concat(char* s, const char* prefix, const char* suffix) {
if (prefix != s && suffix != s)
free(s);
}
/* Cheap string hash function, just used to salt the PRNG. */
static munit_uint32_t
munit_str_hash(const char* name) {
const char *p;
munit_uint32_t h = 5381U;
for (p = name; *p != '\0'; p++)
h = (h << 5) + h + *p;
return h;
}
static void
munit_splice(int from, int to) {
munit_uint8_t buf[1024];
#if !defined(_WIN32)
ssize_t len;
ssize_t bytes_written;
ssize_t write_res;
#else
int len;
int bytes_written;
int write_res;
#endif
do {
len = read(from, buf, sizeof(buf));
if (len > 0) {
bytes_written = 0;
do {
write_res = write(to, buf + bytes_written, len - bytes_written);
if (write_res < 0)
break;
bytes_written += write_res;
} while (bytes_written < len);
}
else
break;
} while (true);
}
/* This is the part that should be handled in the child process */
static MunitResult
munit_test_runner_exec(MunitTestRunner* runner, const MunitTest* test, const MunitParameter params[], MunitReport* report) {
unsigned int iterations = runner->iterations;
MunitResult result = MUNIT_FAIL;
#if defined(MUNIT_ENABLE_TIMING)
struct PsnipClockTimespec wall_clock_begin = { 0, }, wall_clock_end = { 0, };
struct PsnipClockTimespec cpu_clock_begin = { 0, }, cpu_clock_end = { 0, };
#endif
unsigned int i = 0;
if ((test->options & MUNIT_TEST_OPTION_SINGLE_ITERATION) == MUNIT_TEST_OPTION_SINGLE_ITERATION)
iterations = 1;
else if (iterations == 0)
iterations = runner->suite->iterations;
munit_rand_seed(runner->seed);
do {
void* data = (test->setup == NULL) ? runner->user_data : test->setup(params, runner->user_data);
#if defined(MUNIT_ENABLE_TIMING)
psnip_clock_get_time(PSNIP_CLOCK_TYPE_WALL, &wall_clock_begin);
psnip_clock_get_time(PSNIP_CLOCK_TYPE_CPU, &cpu_clock_begin);
#endif
#if defined(MUNIT_THREAD_LOCAL) && defined(MUNIT_ALWAYS_TEAR_DOWN)
if (test->tear_down != NULL) {
if (MUNIT_UNLIKELY(setjmp(munit_tear_down_jmp_buf) != 0)) {
test->tear_down(data);
longjmp(munit_error_jmp_buf, 1);
} else {
munit_tear_down_jmp_buf_valid = true;
}
}
#endif
result = test->test(params, data);
#if defined(MUNIT_ENABLE_TIMING)
psnip_clock_get_time(PSNIP_CLOCK_TYPE_WALL, &wall_clock_end);
psnip_clock_get_time(PSNIP_CLOCK_TYPE_CPU, &cpu_clock_end);
#endif
if (test->tear_down != NULL)
test->tear_down(data);
if (MUNIT_LIKELY(result == MUNIT_OK)) {
report->successful++;
#if defined(MUNIT_ENABLE_TIMING)
report->wall_clock += munit_clock_get_elapsed(&wall_clock_begin, &wall_clock_end);
report->cpu_clock += munit_clock_get_elapsed(&cpu_clock_begin, &cpu_clock_end);
#endif
} else {
switch ((int) result) {
case MUNIT_SKIP:
report->skipped++;
break;
case MUNIT_FAIL:
report->failed++;
break;
case MUNIT_ERROR:
report->errored++;
break;
default:
break;
}
break;
}
} while (++i < iterations);
return result;
}
#if defined(MUNIT_EMOTICON)
# define MUNIT_RESULT_STRING_OK ":)"
# define MUNIT_RESULT_STRING_SKIP ":|"
# define MUNIT_RESULT_STRING_FAIL ":("
# define MUNIT_RESULT_STRING_ERROR ":o"
# define MUNIT_RESULT_STRING_TODO ":/"
#else
# define MUNIT_RESULT_STRING_OK "OK "
# define MUNIT_RESULT_STRING_SKIP "SKIP "
# define MUNIT_RESULT_STRING_FAIL "FAIL "
# define MUNIT_RESULT_STRING_ERROR "ERROR"
# define MUNIT_RESULT_STRING_TODO "TODO "
#endif
static void
munit_test_runner_print_color(const MunitTestRunner* runner, const char* string, char color) {
if (runner->colorize)
fprintf(MUNIT_OUTPUT_FILE, "\x1b[3%cm%s\x1b[39m", color, string);
else
fputs(string, MUNIT_OUTPUT_FILE);
}
#if !defined(MUNIT_NO_BUFFER)
static int
munit_replace_stderr(FILE* stderr_buf) {
if (stderr_buf != NULL) {
const int orig_stderr = dup(STDERR_FILENO);
int errfd = fileno(stderr_buf);
if (MUNIT_UNLIKELY(errfd == -1)) {
exit(EXIT_FAILURE);
}
dup2(errfd, STDERR_FILENO);
return orig_stderr;
}
return -1;
}
static void
munit_restore_stderr(int orig_stderr) {
if (orig_stderr != -1) {
dup2(orig_stderr, STDERR_FILENO);
close(orig_stderr);
}
}
#endif /* !defined(MUNIT_NO_BUFFER) */
/* Run a test with the specified parameters. */
static void
munit_test_runner_run_test_with_params(MunitTestRunner* runner, const MunitTest* test, const MunitParameter params[]) {
MunitResult result = MUNIT_OK;
MunitReport report = {
0, 0, 0, 0,
#if defined(MUNIT_ENABLE_TIMING)
0, 0
#endif
};
unsigned int output_l;
bool first;
const MunitParameter* param;
FILE* stderr_buf;
#if !defined(MUNIT_NO_FORK)
int pipefd[2];
pid_t fork_pid;
ssize_t bytes_written = 0;
ssize_t write_res;
ssize_t bytes_read = 0;
ssize_t read_res;
int status = 0;
pid_t changed_pid;
#endif
if (params != NULL) {
output_l = 2;
fputs(" ", MUNIT_OUTPUT_FILE);
first = true;
for (param = params ; param != NULL && param->name != NULL ; param++) {
if (!first) {
fputs(", ", MUNIT_OUTPUT_FILE);
output_l += 2;
} else {
first = false;
}
output_l += fprintf(MUNIT_OUTPUT_FILE, "%s=%s", param->name, param->value);
}
while (output_l++ < MUNIT_TEST_NAME_LEN) {
fputc(' ', MUNIT_OUTPUT_FILE);
}
}
fflush(MUNIT_OUTPUT_FILE);
stderr_buf = NULL;
#if !defined(_WIN32) || defined(__MINGW32__)
stderr_buf = tmpfile();
#else
tmpfile_s(&stderr_buf);
#endif
if (stderr_buf == NULL) {
munit_log_errno(MUNIT_LOG_ERROR, stderr, "unable to create buffer for stderr");
result = MUNIT_ERROR;
goto print_result;
}
#if !defined(MUNIT_NO_FORK)
if (runner->fork) {
pipefd[0] = -1;
pipefd[1] = -1;
if (pipe(pipefd) != 0) {
munit_log_errno(MUNIT_LOG_ERROR, stderr, "unable to create pipe");
result = MUNIT_ERROR;
goto print_result;
}
fork_pid = fork();
if (fork_pid == 0) {
int orig_stderr;
close(pipefd[0]);
orig_stderr = munit_replace_stderr(stderr_buf);
munit_test_runner_exec(runner, test, params, &report);
/* Note that we don't restore stderr. This is so we can buffer
* things written to stderr later on (such as by
* asan/tsan/ubsan, valgrind, etc.) */
close(orig_stderr);
do {
write_res = write(pipefd[1], ((munit_uint8_t*) (&report)) + bytes_written, sizeof(report) - bytes_written);
if (write_res < 0) {
if (stderr_buf != NULL) {
munit_log_errno(MUNIT_LOG_ERROR, stderr, "unable to write to pipe");
}
exit(EXIT_FAILURE);
}
bytes_written += write_res;
} while ((size_t) bytes_written < sizeof(report));
if (stderr_buf != NULL)
fclose(stderr_buf);
close(pipefd[1]);
exit(EXIT_SUCCESS);
} else if (fork_pid == -1) {
close(pipefd[0]);
close(pipefd[1]);
if (stderr_buf != NULL) {
munit_log_errno(MUNIT_LOG_ERROR, stderr, "unable to fork");
}
report.errored++;
result = MUNIT_ERROR;
} else {
close(pipefd[1]);
do {
read_res = read(pipefd[0], ((munit_uint8_t*) (&report)) + bytes_read, sizeof(report) - bytes_read);
if (read_res < 1)
break;
bytes_read += read_res;
} while (bytes_read < (ssize_t) sizeof(report));
changed_pid = waitpid(fork_pid, &status, 0);
if (MUNIT_LIKELY(changed_pid == fork_pid) && MUNIT_LIKELY(WIFEXITED(status))) {
if (bytes_read != sizeof(report)) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr_buf, "child exited unexpectedly with status %d", WEXITSTATUS(status));
report.errored++;
} else if (WEXITSTATUS(status) != EXIT_SUCCESS) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr_buf, "child exited with status %d", WEXITSTATUS(status));
report.errored++;
}
} else {
if (WIFSIGNALED(status)) {
#if defined(_XOPEN_VERSION) && (_XOPEN_VERSION >= 700)
munit_logf_internal(MUNIT_LOG_ERROR, stderr_buf, "child killed by signal %d (%s)", WTERMSIG(status), strsignal(WTERMSIG(status)));
#else
munit_logf_internal(MUNIT_LOG_ERROR, stderr_buf, "child killed by signal %d", WTERMSIG(status));
#endif
} else if (WIFSTOPPED(status)) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr_buf, "child stopped by signal %d", WSTOPSIG(status));
}
report.errored++;
}
close(pipefd[0]);
waitpid(fork_pid, NULL, 0);
}
} else
#endif
{
#if !defined(MUNIT_NO_BUFFER)
const volatile int orig_stderr = munit_replace_stderr(stderr_buf);
#endif
#if defined(MUNIT_THREAD_LOCAL)
if (MUNIT_UNLIKELY(setjmp(munit_error_jmp_buf) != 0)) {
result = MUNIT_FAIL;
report.failed++;
} else {
munit_error_jmp_buf_valid = true;
result = munit_test_runner_exec(runner, test, params, &report);
}
#else
result = munit_test_runner_exec(runner, test, params, &report);
#endif
#if !defined(MUNIT_NO_BUFFER)
munit_restore_stderr(orig_stderr);
#endif
/* Here just so that the label is used on Windows and we don't get
* a warning */
goto print_result;
}
print_result:
fputs("[ ", MUNIT_OUTPUT_FILE);
if ((test->options & MUNIT_TEST_OPTION_TODO) == MUNIT_TEST_OPTION_TODO) {
if (report.failed != 0 || report.errored != 0 || report.skipped != 0) {
munit_test_runner_print_color(runner, MUNIT_RESULT_STRING_TODO, '3');
result = MUNIT_OK;
} else {
munit_test_runner_print_color(runner, MUNIT_RESULT_STRING_ERROR, '1');
if (MUNIT_LIKELY(stderr_buf != NULL))
munit_log_internal(MUNIT_LOG_ERROR, stderr_buf, "Test marked TODO, but was successful.");
runner->report.failed++;
result = MUNIT_ERROR;
}
} else if (report.failed > 0) {
munit_test_runner_print_color(runner, MUNIT_RESULT_STRING_FAIL, '1');
runner->report.failed++;
result = MUNIT_FAIL;
} else if (report.errored > 0) {
munit_test_runner_print_color(runner, MUNIT_RESULT_STRING_ERROR, '1');
runner->report.errored++;
result = MUNIT_ERROR;
} else if (report.skipped > 0) {
munit_test_runner_print_color(runner, MUNIT_RESULT_STRING_SKIP, '3');
runner->report.skipped++;
result = MUNIT_SKIP;
} else if (report.successful > 1) {
munit_test_runner_print_color(runner, MUNIT_RESULT_STRING_OK, '2');
#if defined(MUNIT_ENABLE_TIMING)
fputs(" ] [ ", MUNIT_OUTPUT_FILE);
munit_print_time(MUNIT_OUTPUT_FILE, report.wall_clock / report.successful);
fputs(" / ", MUNIT_OUTPUT_FILE);
munit_print_time(MUNIT_OUTPUT_FILE, report.cpu_clock / report.successful);
fprintf(MUNIT_OUTPUT_FILE, " CPU ]\n %-" MUNIT_XSTRINGIFY(MUNIT_TEST_NAME_LEN) "s Total: [ ", "");
munit_print_time(MUNIT_OUTPUT_FILE, report.wall_clock);
fputs(" / ", MUNIT_OUTPUT_FILE);
munit_print_time(MUNIT_OUTPUT_FILE, report.cpu_clock);
fputs(" CPU", MUNIT_OUTPUT_FILE);
#endif
runner->report.successful++;
result = MUNIT_OK;
} else if (report.successful > 0) {
munit_test_runner_print_color(runner, MUNIT_RESULT_STRING_OK, '2');
#if defined(MUNIT_ENABLE_TIMING)
fputs(" ] [ ", MUNIT_OUTPUT_FILE);
munit_print_time(MUNIT_OUTPUT_FILE, report.wall_clock);
fputs(" / ", MUNIT_OUTPUT_FILE);
munit_print_time(MUNIT_OUTPUT_FILE, report.cpu_clock);
fputs(" CPU", MUNIT_OUTPUT_FILE);
#endif
runner->report.successful++;
result = MUNIT_OK;
}
fputs(" ]\n", MUNIT_OUTPUT_FILE);
if (stderr_buf != NULL) {
if (result == MUNIT_FAIL || result == MUNIT_ERROR || runner->show_stderr) {
fflush(MUNIT_OUTPUT_FILE);
rewind(stderr_buf);
munit_splice(fileno(stderr_buf), STDERR_FILENO);
fflush(stderr);
}
fclose(stderr_buf);
}
}
static void
munit_test_runner_run_test_wild(MunitTestRunner* runner,
const MunitTest* test,
const char* test_name,
MunitParameter* params,
MunitParameter* p) {
const MunitParameterEnum* pe;
char** values;
MunitParameter* next;
for (pe = test->parameters ; pe != NULL && pe->name != NULL ; pe++) {
if (p->name == pe->name)
break;
}
if (pe == NULL)
return;
for (values = pe->values ; *values != NULL ; values++) {
next = p + 1;
p->value = *values;
if (next->name == NULL) {
munit_test_runner_run_test_with_params(runner, test, params);
} else {
munit_test_runner_run_test_wild(runner, test, test_name, params, next);
}
if (runner->fatal_failures && (runner->report.failed != 0 || runner->report.errored != 0))
break;
}
}
/* Run a single test, with every combination of parameters
* requested. */
static void
munit_test_runner_run_test(MunitTestRunner* runner,
const MunitTest* test,
const char* prefix) {
char* test_name = munit_maybe_concat(NULL, (char*) prefix, (char*) test->name);
/* The array of parameters to pass to
* munit_test_runner_run_test_with_params */
MunitParameter* params = NULL;
size_t params_l = 0;
/* Wildcard parameters are parameters which have possible values
* specified in the test, but no specific value was passed to the
* CLI. That means we want to run the test once for every
* possible combination of parameter values or, if --single was
* passed to the CLI, a single time with a random set of
* parameters. */
MunitParameter* wild_params = NULL;
size_t wild_params_l = 0;
const MunitParameterEnum* pe;
const MunitParameter* cli_p;
bool filled;
unsigned int possible;
char** vals;
size_t first_wild;
const MunitParameter* wp;
int pidx;
munit_rand_seed(runner->seed);
fprintf(MUNIT_OUTPUT_FILE, "%-" MUNIT_XSTRINGIFY(MUNIT_TEST_NAME_LEN) "s", test_name);
if (test->parameters == NULL) {
/* No parameters. Simple, nice. */
munit_test_runner_run_test_with_params(runner, test, NULL);
} else {
fputc('\n', MUNIT_OUTPUT_FILE);
for (pe = test->parameters ; pe != NULL && pe->name != NULL ; pe++) {
/* Did we received a value for this parameter from the CLI? */
filled = false;
for (cli_p = runner->parameters ; cli_p != NULL && cli_p->name != NULL ; cli_p++) {
if (strcmp(cli_p->name, pe->name) == 0) {
if (MUNIT_UNLIKELY(munit_parameters_add(¶ms_l, ¶ms, pe->name, cli_p->value) != MUNIT_OK))
goto cleanup;
filled = true;
break;
}
}
if (filled)
continue;
/* Nothing from CLI, is the enum NULL/empty? We're not a
* fuzzer… */
if (pe->values == NULL || pe->values[0] == NULL)
continue;
/* If --single was passed to the CLI, choose a value from the
* list of possibilities randomly. */
if (runner->single_parameter_mode) {
possible = 0;
for (vals = pe->values ; *vals != NULL ; vals++)
possible++;
/* We want the tests to be reproducible, even if you're only
* running a single test, but we don't want every test with
* the same number of parameters to choose the same parameter
* number, so use the test name as a primitive salt. */
pidx = munit_rand_at_most(munit_str_hash(test_name), possible - 1);
if (MUNIT_UNLIKELY(munit_parameters_add(¶ms_l, ¶ms, pe->name, pe->values[pidx]) != MUNIT_OK))
goto cleanup;
} else {
/* We want to try every permutation. Put in a placeholder
* entry, we'll iterate through them later. */
if (MUNIT_UNLIKELY(munit_parameters_add(&wild_params_l, &wild_params, pe->name, NULL) != MUNIT_OK))
goto cleanup;
}
}
if (wild_params_l != 0) {
first_wild = params_l;
for (wp = wild_params ; wp != NULL && wp->name != NULL ; wp++) {
for (pe = test->parameters ; pe != NULL && pe->name != NULL && pe->values != NULL ; pe++) {
if (strcmp(wp->name, pe->name) == 0) {
if (MUNIT_UNLIKELY(munit_parameters_add(¶ms_l, ¶ms, pe->name, pe->values[0]) != MUNIT_OK))
goto cleanup;
}
}
}
munit_test_runner_run_test_wild(runner, test, test_name, params, params + first_wild);
} else {
munit_test_runner_run_test_with_params(runner, test, params);
}
cleanup:
free(params);
free(wild_params);
}
munit_maybe_free_concat(test_name, prefix, test->name);
}
/* Recurse through the suite and run all the tests. If a list of
* tests to run was provied on the command line, run only those
* tests. */
static void
munit_test_runner_run_suite(MunitTestRunner* runner,
const MunitSuite* suite,
const char* prefix) {
size_t pre_l;
char* pre = munit_maybe_concat(&pre_l, (char*) prefix, (char*) suite->prefix);
const MunitTest* test;
const char** test_name;
const MunitSuite* child_suite;
/* Run the tests. */
for (test = suite->tests ; test != NULL && test->test != NULL ; test++) {
if (runner->tests != NULL) { /* Specific tests were requested on the CLI */
for (test_name = runner->tests ; test_name != NULL && *test_name != NULL ; test_name++) {
if ((pre_l == 0 || strncmp(pre, *test_name, pre_l) == 0) &&
strncmp(test->name, *test_name + pre_l, strlen(*test_name + pre_l)) == 0) {
munit_test_runner_run_test(runner, test, pre);
if (runner->fatal_failures && (runner->report.failed != 0 || runner->report.errored != 0))
goto cleanup;
}
}
} else { /* Run all tests */
munit_test_runner_run_test(runner, test, pre);
}
}
if (runner->fatal_failures && (runner->report.failed != 0 || runner->report.errored != 0))
goto cleanup;
/* Run any child suites. */
for (child_suite = suite->suites ; child_suite != NULL && child_suite->prefix != NULL ; child_suite++) {
munit_test_runner_run_suite(runner, child_suite, pre);
}
cleanup:
munit_maybe_free_concat(pre, prefix, suite->prefix);
}
static void
munit_test_runner_run(MunitTestRunner* runner) {
munit_test_runner_run_suite(runner, runner->suite, NULL);
}
static void
munit_print_help(int argc, char* const argv[MUNIT_ARRAY_PARAM(argc + 1)], void* user_data, const MunitArgument arguments[]) {
const MunitArgument* arg;
(void) argc;
printf("USAGE: %s [OPTIONS...] [TEST...]\n\n", argv[0]);
puts(" --seed SEED\n"
" Value used to seed the PRNG. Must be a 32-bit integer in decimal\n"
" notation with no separators (commas, decimals, spaces, etc.), or\n"
" hexidecimal prefixed by \"0x\".\n"
" --iterations N\n"
" Run each test N times. 0 means the default number.\n"
" --param name value\n"
" A parameter key/value pair which will be passed to any test with\n"
" takes a parameter of that name. If not provided, the test will be\n"
" run once for each possible parameter value.\n"
" --list Write a list of all available tests.\n"
" --list-params\n"
" Write a list of all available tests and their possible parameters.\n"
" --single Run each parameterized test in a single configuration instead of\n"
" every possible combination\n"
" --log-visible debug|info|warning|error\n"
" --log-fatal debug|info|warning|error\n"
" Set the level at which messages of different severities are visible,\n"
" or cause the test to terminate.\n"
#if !defined(MUNIT_NO_FORK)
" --no-fork Do not execute tests in a child process. If this option is supplied\n"
" and a test crashes (including by failing an assertion), no further\n"
" tests will be performed.\n"
#endif
" --fatal-failures\n"
" Stop executing tests as soon as a failure is found.\n"
" --show-stderr\n"
" Show data written to stderr by the tests, even if the test succeeds.\n"
" --color auto|always|never\n"
" Colorize (or don't) the output.\n"
/* 12345678901234567890123456789012345678901234567890123456789012345678901234567890 */
" --help Print this help message and exit.\n");
#if defined(MUNIT_NL_LANGINFO)
setlocale(LC_ALL, "");
fputs((strcasecmp("UTF-8", nl_langinfo(CODESET)) == 0) ? "µnit" : "munit", stdout);
#else
puts("munit");
#endif
printf(" %d.%d.%d\n"
"Full documentation at: https://nemequ.github.io/munit/\n",
(MUNIT_CURRENT_VERSION >> 16) & 0xff,
(MUNIT_CURRENT_VERSION >> 8) & 0xff,
(MUNIT_CURRENT_VERSION >> 0) & 0xff);
for (arg = arguments ; arg != NULL && arg->name != NULL ; arg++)
arg->write_help(arg, user_data);
}
static const MunitArgument*
munit_arguments_find(const MunitArgument arguments[], const char* name) {
const MunitArgument* arg;
for (arg = arguments ; arg != NULL && arg->name != NULL ; arg++)
if (strcmp(arg->name, name) == 0)
return arg;
return NULL;
}
static void
munit_suite_list_tests(const MunitSuite* suite, bool show_params, const char* prefix) {
size_t pre_l;
char* pre = munit_maybe_concat(&pre_l, (char*) prefix, (char*) suite->prefix);
const MunitTest* test;
const MunitParameterEnum* params;
bool first;
char** val;
const MunitSuite* child_suite;
for (test = suite->tests ;
test != NULL && test->name != NULL ;
test++) {
if (pre != NULL)
fputs(pre, stdout);
puts(test->name);
if (show_params) {
for (params = test->parameters ;
params != NULL && params->name != NULL ;
params++) {
fprintf(stdout, " - %s: ", params->name);
if (params->values == NULL) {
puts("Any");
} else {
first = true;
for (val = params->values ;
*val != NULL ;
val++ ) {
if(!first) {
fputs(", ", stdout);
} else {
first = false;
}
fputs(*val, stdout);
}
putc('\n', stdout);
}
}
}
}
for (child_suite = suite->suites ; child_suite != NULL && child_suite->prefix != NULL ; child_suite++) {
munit_suite_list_tests(child_suite, show_params, pre);
}
munit_maybe_free_concat(pre, prefix, suite->prefix);
}
static bool
munit_stream_supports_ansi(FILE *stream) {
#if !defined(_WIN32)
return isatty(fileno(stream));
#else
#if !defined(__MINGW32__)
size_t ansicon_size = 0;
#endif
if (isatty(fileno(stream))) {
#if !defined(__MINGW32__)
getenv_s(&ansicon_size, NULL, 0, "ANSICON");
return ansicon_size != 0;
#else
return getenv("ANSICON") != NULL;
#endif
}
return false;
#endif
}
int
munit_suite_main_custom(const MunitSuite* suite, void* user_data,
int argc, char* const argv[MUNIT_ARRAY_PARAM(argc + 1)],
const MunitArgument arguments[]) {
int result = EXIT_FAILURE;
MunitTestRunner runner;
size_t parameters_size = 0;
size_t tests_size = 0;
int arg;
char* envptr;
unsigned long ts;
char* endptr;
unsigned long long iterations;
MunitLogLevel level;
const MunitArgument* argument;
const char** runner_tests;
unsigned int tests_run;
unsigned int tests_total;
runner.prefix = NULL;
runner.suite = NULL;
runner.tests = NULL;
runner.seed = 0;
runner.iterations = 0;
runner.parameters = NULL;
runner.single_parameter_mode = false;
runner.user_data = NULL;
runner.report.successful = 0;
runner.report.skipped = 0;
runner.report.failed = 0;
runner.report.errored = 0;
#if defined(MUNIT_ENABLE_TIMING)
runner.report.cpu_clock = 0;
runner.report.wall_clock = 0;
#endif
runner.colorize = false;
#if !defined(_WIN32)
runner.fork = true;
#else
runner.fork = false;
#endif
runner.show_stderr = false;
runner.fatal_failures = false;
runner.suite = suite;
runner.user_data = user_data;
runner.seed = munit_rand_generate_seed();
runner.colorize = munit_stream_supports_ansi(MUNIT_OUTPUT_FILE);
for (arg = 1 ; arg < argc ; arg++) {
if (strncmp("--", argv[arg], 2) == 0) {
if (strcmp("seed", argv[arg] + 2) == 0) {
if (arg + 1 >= argc) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "%s requires an argument", argv[arg]);
goto cleanup;
}
envptr = argv[arg + 1];
ts = strtoul(argv[arg + 1], &envptr, 0);
if (*envptr != '\0' || ts > (~((munit_uint32_t) 0U))) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "invalid value ('%s') passed to %s", argv[arg + 1], argv[arg]);
goto cleanup;
}
runner.seed = (munit_uint32_t) ts;
arg++;
} else if (strcmp("iterations", argv[arg] + 2) == 0) {
if (arg + 1 >= argc) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "%s requires an argument", argv[arg]);
goto cleanup;
}
endptr = argv[arg + 1];
iterations = strtoul(argv[arg + 1], &endptr, 0);
if (*endptr != '\0' || iterations > UINT_MAX) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "invalid value ('%s') passed to %s", argv[arg + 1], argv[arg]);
goto cleanup;
}
runner.iterations = (unsigned int) iterations;
arg++;
} else if (strcmp("param", argv[arg] + 2) == 0) {
if (arg + 2 >= argc) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "%s requires two arguments", argv[arg]);
goto cleanup;
}
runner.parameters = realloc(runner.parameters, sizeof(MunitParameter) * (parameters_size + 2));
if (runner.parameters == NULL) {
munit_log_internal(MUNIT_LOG_ERROR, stderr, "failed to allocate memory");
goto cleanup;
}
runner.parameters[parameters_size].name = (char*) argv[arg + 1];
runner.parameters[parameters_size].value = (char*) argv[arg + 2];
parameters_size++;
runner.parameters[parameters_size].name = NULL;
runner.parameters[parameters_size].value = NULL;
arg += 2;
} else if (strcmp("color", argv[arg] + 2) == 0) {
if (arg + 1 >= argc) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "%s requires an argument", argv[arg]);
goto cleanup;
}
if (strcmp(argv[arg + 1], "always") == 0)
runner.colorize = true;
else if (strcmp(argv[arg + 1], "never") == 0)
runner.colorize = false;
else if (strcmp(argv[arg + 1], "auto") == 0)
runner.colorize = munit_stream_supports_ansi(MUNIT_OUTPUT_FILE);
else {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "invalid value ('%s') passed to %s", argv[arg + 1], argv[arg]);
goto cleanup;
}
arg++;
} else if (strcmp("help", argv[arg] + 2) == 0) {
munit_print_help(argc, argv, user_data, arguments);
result = EXIT_SUCCESS;
goto cleanup;
} else if (strcmp("single", argv[arg] + 2) == 0) {
runner.single_parameter_mode = true;
} else if (strcmp("show-stderr", argv[arg] + 2) == 0) {
runner.show_stderr = true;
#if !defined(_WIN32)
} else if (strcmp("no-fork", argv[arg] + 2) == 0) {
runner.fork = false;
#endif
} else if (strcmp("fatal-failures", argv[arg] + 2) == 0) {
runner.fatal_failures = true;
} else if (strcmp("log-visible", argv[arg] + 2) == 0 ||
strcmp("log-fatal", argv[arg] + 2) == 0) {
if (arg + 1 >= argc) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "%s requires an argument", argv[arg]);
goto cleanup;
}
if (strcmp(argv[arg + 1], "debug") == 0)
level = MUNIT_LOG_DEBUG;
else if (strcmp(argv[arg + 1], "info") == 0)
level = MUNIT_LOG_INFO;
else if (strcmp(argv[arg + 1], "warning") == 0)
level = MUNIT_LOG_WARNING;
else if (strcmp(argv[arg + 1], "error") == 0)
level = MUNIT_LOG_ERROR;
else {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "invalid value ('%s') passed to %s", argv[arg + 1], argv[arg]);
goto cleanup;
}
if (strcmp("log-visible", argv[arg] + 2) == 0)
munit_log_level_visible = level;
else
munit_log_level_fatal = level;
arg++;
} else if (strcmp("list", argv[arg] + 2) == 0) {
munit_suite_list_tests(suite, false, NULL);
result = EXIT_SUCCESS;
goto cleanup;
} else if (strcmp("list-params", argv[arg] + 2) == 0) {
munit_suite_list_tests(suite, true, NULL);
result = EXIT_SUCCESS;
goto cleanup;
} else {
argument = munit_arguments_find(arguments, argv[arg] + 2);
if (argument == NULL) {
munit_logf_internal(MUNIT_LOG_ERROR, stderr, "unknown argument ('%s')", argv[arg]);
goto cleanup;
}
if (!argument->parse_argument(suite, user_data, &arg, argc, argv))
goto cleanup;
}
} else {
runner_tests = realloc((void*) runner.tests, sizeof(char*) * (tests_size + 2));
if (runner_tests == NULL) {
munit_log_internal(MUNIT_LOG_ERROR, stderr, "failed to allocate memory");
goto cleanup;
}
runner.tests = runner_tests;
runner.tests[tests_size++] = argv[arg];
runner.tests[tests_size] = NULL;
}
}
fflush(stderr);
fprintf(MUNIT_OUTPUT_FILE, "Running test suite with seed 0x%08" PRIx32 "...\n", runner.seed);
munit_test_runner_run(&runner);
tests_run = runner.report.successful + runner.report.failed + runner.report.errored;
tests_total = tests_run + runner.report.skipped;
if (tests_run == 0) {
fprintf(stderr, "No tests run, %d (100%%) skipped.\n", runner.report.skipped);
} else {
fprintf(MUNIT_OUTPUT_FILE, "%d of %d (%0.0f%%) tests successful, %d (%0.0f%%) test skipped.\n",
runner.report.successful, tests_run,
(((double) runner.report.successful) / ((double) tests_run)) * 100.0,
runner.report.skipped,
(((double) runner.report.skipped) / ((double) tests_total)) * 100.0);
}
if (runner.report.failed == 0 && runner.report.errored == 0) {
result = EXIT_SUCCESS;
}
cleanup:
free(runner.parameters);
free((void*) runner.tests);
return result;
}
int
munit_suite_main(const MunitSuite* suite, void* user_data,
int argc, char* const argv[MUNIT_ARRAY_PARAM(argc + 1)]) {
return munit_suite_main_custom(suite, user_data, argc, argv, NULL);
}
|
basic_kernels.h | #ifndef BASIC_KERNELS_H
#define BASIC_KERNELS_H
#define GEMM_ROW_BLOCK_SIZE_A 16
#define GEMM_COLUMN_BLOCK_SIZE_B 128
#define GENERIC_VECTOR_SIZE 16
extern "C" {
/*!
* Set the entire matrix to the given value in parallel using OpenMP.
*
* @param m the number of rows of matrix B.
* @param n the number of columns of matrix B.
* @param B pointer to the matrix array.
* @param v the value to set.
*/
void set_value( const int m, const int n, double *const B, const double v ) {
double *_B;
int elements_to_compute;
const unsigned long total_elements = static_cast<unsigned long>( m ) * static_cast<unsigned long>( n );
const unsigned long vector_size = static_cast<unsigned long>( GENERIC_VECTOR_SIZE );
#pragma omp parallel for private(_B, elements_to_compute)
for ( unsigned long i = 0; i < total_elements; i += vector_size ) {
_B = &( B[i] );
elements_to_compute = std::min( vector_size, total_elements - i );
#pragma omp simd
for ( int j = 0; j < elements_to_compute; ++j ) {
_B[j] = v;
}
}
}
/*!
* Set the elements of the matrix to be standard normal random variables based on the mt19937_64 generator.
*
* @param m the number of rows of the matrix.
* @param n the number of columns of the matrix.
* @param G pointer to the matrix array.
*/
void set_randn( const int m, const int n, double *const G ) {
#pragma omp parallel
{
const int n_threads = omp_get_num_threads();
const int thread_id = omp_get_thread_num();
const int block_size = static_cast<int>( std::ceil( static_cast<double>( m ) / static_cast<double>( n_threads ) ) );
std::pair<int, int> limits;
limits.first = block_size * thread_id;
limits.second = block_size * ( thread_id + 1 );
limits.second = std::min( limits.second, m );
double *_G;
std::random_device rd{};
std::mt19937_64 gen{rd() };
std::normal_distribution<double> dist;
for ( int i = limits.first; i < limits.second; ++i ) {
_G = & ( G[i * n] );
# pragma omp simd
for ( int j = 0; j < n; ++j ) {
_G[j] = dist( gen );
}
}
}
}
/*!
* Scale the given m*n size matrix with a scalar in parallel using OpenMP.
*
* @param m the number of rows of the matrix.
* @param n the number of columns of the matrix.
* @param B pointer to the matrix array.
* @param alpha scalar to multiply the matrix.
*/
void scale( const int m, const int n, double *const B, const double alpha ) {
double *_B;
int elements_to_compute;
const unsigned long total_elements = static_cast<unsigned long>( m ) * static_cast<unsigned long>( n );
const unsigned long vector_size = static_cast<unsigned long>( GENERIC_VECTOR_SIZE );
#pragma omp parallel for private(_B, elements_to_compute)
for ( unsigned long i = 0; i < total_elements; i += vector_size ) {
_B = &( B[i] );
elements_to_compute = std::min( vector_size, total_elements - i );
#pragma omp simd
for ( int j = 0; j < elements_to_compute; ++j ) {
_B[j] *= alpha;
}
}
}
/*!
* Perform a matrix multiplication between a 2-by-4 block of A and a 4-by-n_rows_B block of B.
* Computes: C <- alpha * A * B + C. Used as a subroutine of gemm.
*
* @param n_rows_A the number of rows of the matrix A.
* @param n_cols_C the number of columns of the matrix C.
* @param n_rows_B the number of columns of A and the number of rows of B.
* @param alpha scalar to multiply (A*B).
* @param A pointer to the array of storing matrix A.
* @param LDA leading dimension of array A.
* @param B pointer to the array of storing matrix B.
* @param LDB leading dimension of array B.
* @param C pointer to the array of storing matrix C.
* @param LDC leading dimension of array C.
*/
inline void small_gemm_2_by_4( const int n_rows_A, const int n_cols_C, const int n_rows_B, const double alpha,
double *const A, const int LDA, double *const B, const int LDB, double *const C, const int LDC ) {
double *_A1 = &( A[0] ), *_A2 = &( A[0] );
double *_B1 = &( B[0] ), *_B2 = &( B[0] ), *_B3 = &( B[0] ), *_B4 = &( B[0] );
double *_C1 = &( C[0] ), *_C2 = &( C[0] );
double v11 = 0, v12 = 0, v13 = 0, v14 = 0, v21 = 0, v22 = 0, v23 = 0, v24 = 0;
double b1, b2, b3, b4;
if ( alpha == 0 ) {
return;
}
v11 = _A1[0] * alpha;
if ( n_rows_A == 2 ) {
_A2 = & ( A[LDA] );
_C2 = & ( C[LDC] );
v21 = _A2[0] * alpha;
}
if ( n_rows_B > 1 ) {
_B2 = & ( B[LDB] );
v12 = _A1[1] * alpha;
if ( n_rows_A == 2 ) {
v22 = _A2[1] * alpha;
}
}
if ( n_rows_B > 2 ) {
_B3 = & ( B[2 * LDB] );
v13 = _A1[2] * alpha;
if ( n_rows_A == 2 ) {
v23 = _A2[2] * alpha;
}
}
if ( n_rows_B > 3 ) {
_B4 = & ( B[3 * LDB] );
v14 = _A1[3] * alpha;
if ( n_rows_A == 2 ) {
v24 = _A2[3] * alpha;
}
}
if ( n_rows_A == 1 ) {
#pragma omp simd
for ( int h = 0; h < n_cols_C; ++h ) {
b1 = _B1[h];
b2 = _B2[h];
b3 = _B3[h];
b4 = _B4[h];
_C1[h] += b1 * v11 + b2 * v12 + b3 * v13 + b4 * v14;
}
} else if ( n_rows_A == 2 ) {
#pragma omp simd
for ( int h = 0; h < n_cols_C; ++h ) {
b1 = _B1[h];
b2 = _B2[h];
b3 = _B3[h];
b4 = _B4[h];
_C1[h] += b1 * v11 + b2 * v12 + b3 * v13 + b4 * v14;
_C2[h] += b1 * v21 + b2 * v22 + b3 * v23 + b4 * v24;
}
}
}
/*!
* Matrix multiplication in row-major format similar to BLAS DGEMM routine. Parallelized with OpenMP.
* Computes: C <- alpha * A * B + beta * C
*
* @param m the number of rows of the matrix A.
* @param n the number of columns of the matrix C.
* @param k the number of columns of A and the number of rows of B.
* @param alpha scalar to multiply (A*B).
* @param A pointer to the array of storing matrix A.
* @param B pointer to the array of storing matrix B.
* @param beta scalar to multiply the matrix C.
* @param C pointer to the array of storing matrix C.
*/
void gemm( const int m, const int n, const int k, const double alpha, double *const A, double *const B,
const double beta, double *const C ) {
if ( beta != 1 ) {
scale( m, n, C, beta );
}
if ( alpha == 0 ) {
return;
}
double *_A, *_B, *_C;
int n_rows_to_compute_A, n_rows_to_compute_B, n_cols_to_compute_C;
int g, h, i, j;
#pragma omp parallel for private(_A, _B, _C, n_rows_to_compute_A, n_rows_to_compute_B, n_cols_to_compute_C, g, h, i, j)
for ( i = 0; i < m; i += GEMM_ROW_BLOCK_SIZE_A ) {
for ( j = 0; j < k; j += 4 ) {
n_rows_to_compute_B = std::min( 4, k - j );
_B = & ( B[j * n] );
for ( g = 0; g < n; g += GEMM_COLUMN_BLOCK_SIZE_B, _B += GEMM_COLUMN_BLOCK_SIZE_B ) {
n_cols_to_compute_C = std::min( GEMM_COLUMN_BLOCK_SIZE_B, n - g );
for ( h = 0; ( h < GEMM_ROW_BLOCK_SIZE_A ) && ( m - i - h ) > 0; h += 2 ) {
_A = & ( A[( i + h ) * k + j] );
_C = & ( C[( i + h ) * n + g] );
n_rows_to_compute_A = std::min( 2, m - i - h );
small_gemm_2_by_4( n_rows_to_compute_A, n_cols_to_compute_C, n_rows_to_compute_B, alpha, _A, k, _B, n, _C, n );
}
}
}
}
}
}
#endif
|
DRB052-indirectaccesssharebase-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.
*/
/*
This example is to mimic a memory access pattern extracted from an LLNL proxy app.
Two pointers have distance of 12.
They are used as base addresses of two arrays, indexed through an index set.
The index set has no two indices with distance of 12.
So there is no loop carried dependence.
*/
#include <assert.h>
#include <stdio.h>
#include <stdlib.h>
#define N 180
int indexSet[N] = {
521, 523, 525, 527, 529, 531,
547, 549, 551, 553, 555, 557,
573, 575, 577, 579, 581, 583,
599, 601, 603, 605, 607, 609,
625, 627, 629, 631, 633, 635,
651, 653, 655, 657, 659, 661,
859, 861, 863, 865, 867, 869,
885, 887, 889, 891, 893, 895,
911, 913, 915, 917, 919, 921,
937, 939, 941, 943, 945, 947,
963, 965, 967, 969, 971, 973,
989, 991, 993, 995, 997, 999,
1197, 1199, 1201, 1203, 1205, 1207,
1223, 1225, 1227, 1229, 1231, 1233,
1249, 1251, 1253, 1255, 1257, 1259,
1275, 1277, 1279, 1281, 1283, 1285,
1301, 1303, 1305, 1307, 1309, 1311,
1327, 1329, 1331, 1333, 1335, 1337,
1535, 1537, 1539, 1541, 1543, 1545,
1561, 1563, 1565, 1567, 1569, 1571,
1587, 1589, 1591, 1593, 1595, 1597,
1613, 1615, 1617, 1619, 1621, 1623,
1639, 1641, 1643, 1645, 1647, 1649,
1665, 1667, 1669, 1671, 1673, 1675,
1873, 1875, 1877, 1879, 1881, 1883,
1899, 1901, 1903, 1905, 1907, 1909,
1925, 1927, 1929, 1931, 1933, 1935,
1951, 1953, 1955, 1957, 1959, 1961,
1977, 1979, 1981, 1983, 1985, 1987,
2003, 2005, 2007, 2009, 2011, 2013};
int main (int argc, char* argv[])
{
double * base = (double*) malloc(sizeof(double)* (2013+1+12));
if (base == 0)
{
printf("Error, malloc() returns NULL. End execution. \n");
return 1;
}
double * xa1 = base;
double * xa2 = base + 1;
int i;
#pragma omp parallel for private(i)
for (i =521; i<= 2025; ++i)
{
base[i]=0.0;
}
#pragma omp parallel for private(i)
for (i =0; i< N; ++i) // this level of loop has no loop carried dependence
{
int idx = indexSet[i];
xa1[idx]+= 4.0;
xa2[idx]+= 4.0;
}
// verify the results, no overlapping of xa1 vs. xa2, no addition happens to the same element twice
for (i =521; i<= 2025; ++i)
{
printf ("%f ", base[i]);
//assert (base[i]!=4.0);
}
free (base);
return 0;
}
|
explicit_builder.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ `
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Ruben Zorrilla
//
//
#if !defined(KRATOS_EXPLICIT_BUILDER)
#define KRATOS_EXPLICIT_BUILDER
// System includes
#include <set>
#include <unordered_set>
// External includes
// Project includes
#include "includes/define.h"
#include "includes/model_part.h"
#include "utilities/parallel_utilities.h"
#include "utilities/constraint_utilities.h"
#include "includes/kratos_parameters.h"
namespace Kratos
{
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
/**
* @class ExplicitBuilder
* @ingroup KratosCore
* @brief Current class provides an implementation for the base explicit 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.
* @author Ruben Zorrilla
*/
template<class TSparseSpace, class TDenseSpace >
class ExplicitBuilder
{
public:
///@name Type Definitions
///@{
/// Definition of the size type
typedef std::size_t SizeType;
/// Definition of the index type
typedef std::size_t IndexType;
/// Definition of the data type
typedef typename TSparseSpace::DataType TDataType;
///Definition of the sparse matrix
typedef typename TSparseSpace::MatrixType TSystemMatrixType;
/// Definition of the vector size
typedef typename TSparseSpace::VectorType TSystemVectorType;
/// Definition of the pointer to the sparse matrix
typedef typename TSparseSpace::MatrixPointerType TSystemMatrixPointerType;
/// Definition of the pointer to the vector
typedef typename TSparseSpace::VectorPointerType TSystemVectorPointerType;
/// The local matrix definition
typedef typename TDenseSpace::MatrixType LocalSystemMatrixType;
/// The local vector definition
typedef typename TDenseSpace::VectorType LocalSystemVectorType;
/// Definition of the DoF class
typedef ModelPart::DofType DofType;
/// Definition of the DoF array type
typedef ModelPart::DofsArrayType DofsArrayType;
/// Definition of the DoF vector type
typedef ModelPart::DofsVectorType DofsVectorType;
/// The definition of the DoF objects
typedef typename DofsArrayType::iterator DofIteratorType;
typedef typename DofsArrayType::const_iterator DofConstantIteratorType;
/// The definition of the DoF set type
typedef typename std::unordered_set<DofType::Pointer, DofPointerHasher> DofSetType;
/// The containers of the entities
typedef ModelPart::NodesContainerType NodesArrayType;
typedef ModelPart::ElementsContainerType ElementsArrayType;
typedef ModelPart::ConditionsContainerType ConditionsArrayType;
/// The definition of the element container type
typedef PointerVectorSet<Element, IndexedObject> ElementsContainerType;
/// The definition of the current class
typedef ExplicitBuilder<TSparseSpace, TDenseSpace> ClassType;
/// Pointer definition of ExplicitBuilder
KRATOS_CLASS_POINTER_DEFINITION(ExplicitBuilder);
///@}
///@name Life Cycle
///@{
/**
* @brief Construct a new Explicit Builder object
* Default constructor with Parameters
* @param ThisParameters The configuration parameters
*/
explicit ExplicitBuilder(Parameters ThisParameters)
{
// Validate and assign defaults
ThisParameters = this->ValidateAndAssignParameters(ThisParameters, this->GetDefaultParameters());
this->AssignSettings(ThisParameters);
}
/**
* @brief Construct a new Explicit Builder object
* Default empty constructor
*/
explicit ExplicitBuilder() = default;
/**
* @brief Destroy the Explicit Builder object
* Default destructor
*/
virtual ~ExplicitBuilder() = default;
/**
* @brief Create method
* @param ThisParameters The configuration parameters
*/
virtual typename ClassType::Pointer Create(Parameters ThisParameters) const
{
return Kratos::make_shared<ClassType>(ThisParameters);
}
///@}
///@name Operators
///@{
///@}
///@name Operations
///@{
/**
* @brief This method returns the flag mCalculateReactionsFlag
* @return The flag that tells if the reactions are computed
*/
bool GetCalculateReactionsFlag() const
{
return mCalculateReactionsFlag;
}
/**
* @brief This method sets the flag mCalculateReactionsFlag
* @param CalculateReactionsFlag The flag that tells if the reactions are computed
*/
void SetCalculateReactionsFlag(bool CalculateReactionsFlag)
{
mCalculateReactionsFlag = CalculateReactionsFlag;
}
/**
* @brief This method returns the flag mDofSetIsInitialized
* @return The flag that tells if the dof set is initialized
*/
bool GetDofSetIsInitializedFlag() const
{
return mDofSetIsInitialized;
}
/**
* @brief This method sets the flag mDofSetIsInitialized
* @param DofSetIsInitialized The flag that tells if the dof set is initialized
*/
void SetDofSetIsInitializedFlag(bool DofSetIsInitialized)
{
mDofSetIsInitialized = DofSetIsInitialized;
}
/**
* @brief This method returns the flag mReshapeMatrixFlag
* @return The flag that tells if we need to reset the DOF set
*/
bool GetResetDofSetFlag() const
{
return mResetDofSetFlag;
}
/**
* @brief This method sets the flag mResetDofSetFlag
* @param mResetDofSetFlag The flag that tells if we need to reset the DOF set
*/
void SetResetDofSetFlag(bool ResetDofSetFlag)
{
mResetDofSetFlag = ResetDofSetFlag;
}
/**
* @brief This method returns the flag GetResetLumpedMassVectorFlag
* @return The flag that tells if we need to reset the lumped mass vector
*/
bool GetResetLumpedMassVectorFlag() const
{
return mResetLumpedMassVectorFlag;
}
/**
* @brief This method sets the flag mResetLumpedMassVectorFlag
* @param ResetLumpedMassVectorFlag The flag that tells if we need to reset the lumped mass vector
*/
void SetResetLumpedMassVectorFlag(bool ResetLumpedMassVectorFlag)
{
mResetLumpedMassVectorFlag = ResetLumpedMassVectorFlag;
}
/**
* @brief This method returns the value mEquationSystemSize
* @return Size of the system of equations
*/
unsigned int GetEquationSystemSize() const
{
return mEquationSystemSize;
}
/**
* @brief It allows to get the list of Dofs from the element
*/
DofsArrayType& GetDofSet()
{
return mDofSet;
}
/**
* @brief It allows to get the list of Dofs from the element
*/
const DofsArrayType& GetDofSet() const
{
return mDofSet;
}
/**
* @brief Get the lumped mass matrix vector pointer
* It allows to get the lumped mass matrix vector pointer
* @return TSystemVectorPointerType& The lumped mass matrix vector pointer
*/
TSystemVectorPointerType& pGetLumpedMassMatrixVector()
{
return mpLumpedMassVector;
}
/**
* @brief Get the lumped mass matrix vector
* It allows to get the lumped mass matrix vector
* @return TSystemVectorType& The lumped mass matrix vector
*/
TSystemVectorType& GetLumpedMassMatrixVector()
{
KRATOS_ERROR_IF_NOT(mpLumpedMassVector) << "Lumped mass matrix vector is not initialized!" << std::endl;
return (*mpLumpedMassVector);
}
/**
* @brief Function to perform the build of the RHS.
* The vector could be sized as the total number of dofs or as the number of unrestrained ones
* @param rModelPart The model part to compute
*/
virtual void BuildRHS(ModelPart& rModelPart)
{
KRATOS_TRY
// Build the Right Hand Side without Dirichlet conditions
// We skip setting the Dirichlet nodes residual to zero for the sake of efficiency
// Note that this is not required as the Dirichlet conditions are set in the strategy
BuildRHSNoDirichlet(rModelPart);
KRATOS_CATCH("")
}
/**
* @brief Function to perform the build of the RHS.
* The vector could be sized as the total number of dofs or as the number of unrestrained ones
* @param rModelPart The model part to compute
*/
virtual void BuildRHSNoDirichlet(ModelPart& rModelPart)
{
KRATOS_TRY
// Initialize the reaction (residual)
InitializeDofSetReactions();
// Gets the array of elements, conditions and constraints from the modeler
const auto &r_elements_array = rModelPart.Elements();
const auto &r_conditions_array = rModelPart.Conditions();
const int n_elems = static_cast<int>(r_elements_array.size());
const int n_conds = static_cast<int>(r_conditions_array.size());
const auto& r_process_info = rModelPart.GetProcessInfo();
#pragma omp parallel firstprivate(n_elems, n_conds)
{
#pragma omp for schedule(guided, 512) nowait
// Assemble all elements
for (int i_elem = 0; i_elem < n_elems; ++i_elem) {
auto it_elem = r_elements_array.begin() + i_elem;
// Detect if the element is active or not. If the user did not make any choice the element is active by default
// TODO: We will require to update this as soon as we remove the mIsDefined from the Flags
bool element_is_active = true;
if (it_elem->IsDefined(ACTIVE)) {
element_is_active = it_elem->Is(ACTIVE);
}
if (element_is_active) {
// Calculate elemental explicit residual contribution
// The explicit builder and solver assumes that the residual contribution is assembled in the REACTION variables
it_elem->AddExplicitContribution(r_process_info);
}
}
// Assemble all conditions
#pragma omp for schedule(guided, 512)
for (int i_cond = 0; i_cond < n_conds; ++i_cond) {
auto it_cond = r_conditions_array.begin() + i_cond;
// Detect if the condition is active or not. If the user did not make any choice the condition is active by default
// TODO: We will require to update this as soon as we remove the mIsDefined from the Flags
bool condition_is_active = true;
if (it_cond->IsDefined(ACTIVE)) {
condition_is_active = it_cond->Is(ACTIVE);
}
if (condition_is_active) {
// Calculate condition explicit residual contribution
// The explicit builder and solver assumes that the residual contribution is assembled in the REACTION variables
it_cond->AddExplicitContribution(r_process_info);
}
}
}
KRATOS_CATCH("")
}
/**
* @brief Applies the constraints
* @param rModelPart The model part to compute
* @param rA The LHS matrix of the system of equations
* @param rb The RHS vector of the system of equations
*/
virtual void ApplyConstraints(ModelPart& rModelPart)
{
// First we reset the slave dofs
ConstraintUtilities::ResetSlaveDofs(rModelPart);
// Now we apply the constraints
ConstraintUtilities::ApplyConstraints(rModelPart);
}
/**
* @brief It applied those operations that are expected to be executed once
* @param rModelPart
*/
virtual void Initialize(ModelPart& rModelPart)
{
if (!mDofSetIsInitialized) {
// Initialize the DOF set and the equation ids
this->SetUpDofSet(rModelPart);
this->SetUpDofSetEquationIds();
// Set up the lumped mass vector
this->SetUpLumpedMassVector(rModelPart);
} else if (!mLumpedMassVectorIsInitialized) {
KRATOS_WARNING("ExplicitBuilder") << "Calling Initialize() with already initialized DOF set. Initializing lumped mass vector." << std::endl;;
// Only set up the lumped mass vector
this->SetUpLumpedMassVector(rModelPart);
} else {
KRATOS_WARNING("ExplicitBuilder") << "Calling Initialize() with already initialized DOF set and lumped mass vector." << std::endl;;
}
}
/**
* @brief It applies certain operations at the system of equations at the begining of the solution step
* @param rModelPart The model part to compute
*/
virtual void InitializeSolutionStep(ModelPart& rModelPart)
{
// Check the operations that are required to be done
if (mResetDofSetFlag) {
// If required (e.g. topology changes) reset the DOF set
// Note that we also set lumped mass vector in this case
this->SetUpDofSet(rModelPart);
this->SetUpDofSetEquationIds();
this->SetUpLumpedMassVector(rModelPart);
} else if (mResetLumpedMassVectorFlag) {
// Only reset the lumped mass vector
this->SetUpLumpedMassVector(rModelPart);
}
// Initialize the reactions (residual)
this->InitializeDofSetReactions();
}
/**
* @brief It applies certain operations at the system of equations at the end of the solution step
* @param rModelPart The model part to compute
*/
virtual void FinalizeSolutionStep(ModelPart& rModelPart)
{
// If required, calculate the reactions
if (mCalculateReactionsFlag) {
this->CalculateReactions();
}
}
/**
* @brief This function is intended to be called at the end of the solution step to clean up memory
* storage not needed
*/
virtual void Clear()
{
this->mDofSet = DofsArrayType();
this->mpLumpedMassVector.reset();
KRATOS_INFO_IF("ExplicitBuilder", this->GetEchoLevel() > 0) << "Clear Function called" << std::endl;
}
/**
* @brief This function is designed to be called once to perform all the checks needed
* on the input provided. Checks can be "expensive" as the function is designed
* to catch user's errors.
* @param rModelPart The model part to compute
* @return 0 all ok
*/
virtual int Check(const ModelPart& rModelPart) const
{
KRATOS_TRY
return 0;
KRATOS_CATCH("");
}
/**
* @brief This method provides the defaults parameters to avoid conflicts between the different constructors
* @return The default parameters
*/
virtual Parameters GetDefaultParameters() const
{
const Parameters default_parameters = Parameters(R"(
{
"name" : "explicit_builder"
})");
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 "explicit_builder";
}
/**
* @brief It sets the level of echo for the solving strategy
* @param Level The level to set
* @details The different levels of echo are:
* - 0: Mute... no echo at all
* - 1: Printing time and basic informations
* - 2: Printing linear solver data
* - 3: Print of debug informations: Echo of stiffness matrix, Dx, b...
* - 4: Print of stiffness matrix, b to Matrix Market
*/
void SetEchoLevel(int Level)
{
mEchoLevel = Level;
}
/**
* @brief It returns the echo level
* @return The echo level of the builder and solver
*/
int GetEchoLevel() const
{
return mEchoLevel;
}
///@}
///@name Access
///@{
///@}
///@name Inquiry
///@{
///@}
///@name Input and output
///@{
/// Turn back information as a string.
virtual std::string Info() const
{
return "ExplicitBuilder";
}
/// Print information about this object.
virtual void PrintInfo(std::ostream& rOStream) const
{
rOStream << Info();
}
/// Print object's data.
virtual void PrintData(std::ostream& rOStream) const
{
rOStream << Info();
}
///@}
///@name Friends
///@{
///@}
protected:
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
DofsArrayType mDofSet; /// The set containing the DoF of the system
TSystemVectorPointerType mpLumpedMassVector; // The lumped mass vector associated to the DOF set
bool mResetDofSetFlag = false; /// If the DOF set requires to be set at each time step
bool mResetLumpedMassVectorFlag = false; /// If the lumped mass vector requires to be set at each time step
bool mDofSetIsInitialized = false; /// Flag taking care if the dof set was initialized ot not
bool mLumpedMassVectorIsInitialized = false; /// Flag taking care if the lumped mass vector was initialized or not
bool mCalculateReactionsFlag = false; /// Flag taking in account if it is needed or not to calculate the reactions
unsigned int mEquationSystemSize; /// Number of degrees of freedom of the problem to be solve
int mEchoLevel = 0;
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
/**
* @brief Builds the list of the DofSets involved in the problem by "asking" to each element and condition its Dofs.
* @details The list of dofs is stores insde the ExplicitBuilder as it is closely connected to the way the matrix and RHS are built
* @param rModelPart The model part to compute
*/
virtual void SetUpDofSet(const ModelPart& rModelPart)
{
KRATOS_TRY;
KRATOS_INFO_IF("ExplicitBuilder", this->GetEchoLevel() > 1) << "Setting up the dofs" << std::endl;
// Gets the array of elements, conditions and constraints from the modeler
const auto &r_elements_array = rModelPart.Elements();
const auto &r_conditions_array = rModelPart.Conditions();
const auto &r_constraints_array = rModelPart.MasterSlaveConstraints();
const int n_elems = static_cast<int>(r_elements_array.size());
const int n_conds = static_cast<int>(r_conditions_array.size());
const int n_constraints = static_cast<int>(r_constraints_array.size());
// Global dof set
DofSetType dof_global_set;
dof_global_set.reserve(n_elems*20);
// Auxiliary DOFs list
DofsVectorType dof_list;
DofsVectorType second_dof_list; // The second_dof_list is only used on constraints to include master/slave relations
#pragma omp parallel firstprivate(dof_list, second_dof_list)
{
const auto& r_process_info = rModelPart.GetProcessInfo();
// We cleate the temporal set and we reserve some space on them
DofSetType dofs_tmp_set;
dofs_tmp_set.reserve(20000);
// Get the DOFs list from each element and insert it in the temporary set
#pragma omp for schedule(guided, 512) nowait
for (int i_elem = 0; i_elem < n_elems; ++i_elem) {
const auto it_elem = r_elements_array.begin() + i_elem;
it_elem->GetDofList(dof_list, r_process_info);
dofs_tmp_set.insert(dof_list.begin(), dof_list.end());
}
// Get the DOFs list from each condition and insert it in the temporary set
#pragma omp for schedule(guided, 512) nowait
for (int i_cond = 0; i_cond < n_conds; ++i_cond) {
const auto it_cond = r_conditions_array.begin() + i_cond;
it_cond->GetDofList(dof_list, r_process_info);
dofs_tmp_set.insert(dof_list.begin(), dof_list.end());
}
// Get the DOFs list from each constraint and insert it in the temporary set
#pragma omp for schedule(guided, 512) nowait
for (int i_const = 0; i_const < n_constraints; ++i_const) {
auto it_const = r_constraints_array.begin() + i_const;
it_const->GetDofList(dof_list, second_dof_list, r_process_info);
dofs_tmp_set.insert(dof_list.begin(), dof_list.end());
dofs_tmp_set.insert(second_dof_list.begin(), second_dof_list.end());
}
// We merge all the sets in one thread
#pragma omp critical
{
dof_global_set.insert(dofs_tmp_set.begin(), dofs_tmp_set.end());
}
}
KRATOS_INFO_IF("ExplicitBuilder", ( this->GetEchoLevel() > 2)) << "Initializing ordered array filling\n" << std::endl;
// Ordering the global DOF set
mDofSet = DofsArrayType();
DofsArrayType temp_dof_set;
temp_dof_set.reserve(dof_global_set.size());
for (auto it_dof = dof_global_set.begin(); it_dof != dof_global_set.end(); ++it_dof) {
temp_dof_set.push_back(*it_dof);
}
temp_dof_set.Sort();
mDofSet = temp_dof_set;
mEquationSystemSize = mDofSet.size();
// DoFs set checks
// Throws an exception if there are no Degrees Of Freedom involved in the analysis
KRATOS_ERROR_IF(mDofSet.size() == 0) << "No degrees of freedom!" << std::endl;
// Check if each DOF has a reaction. Note that the explicit residual is stored in these
for (auto it_dof = mDofSet.begin(); it_dof != mDofSet.end(); ++it_dof) {
KRATOS_ERROR_IF_NOT(it_dof->HasReaction()) << "Reaction variable not set for the following : " << std::endl
<< "Node : " << it_dof->Id() << std::endl
<< "Dof : " << (*it_dof) << std::endl << "Not possible to calculate reactions." << std::endl;
}
mDofSetIsInitialized = true;
KRATOS_INFO_IF("ExplicitBuilder", ( this->GetEchoLevel() > 2)) << "Number of degrees of freedom:" << mDofSet.size() << std::endl;
KRATOS_INFO_IF("ExplicitBuilder", ( this->GetEchoLevel() > 2 && rModelPart.GetCommunicator().MyPID() == 0)) << "Finished setting up the dofs" << std::endl;
KRATOS_INFO_IF("ExplicitBuilder", ( this->GetEchoLevel() > 2)) << "End of setup dof set\n" << std::endl;
KRATOS_CATCH("");
}
/**
* @brief Set the Up Dof Set Equation Ids object
* Set up the DOF set equation ids
*/
virtual void SetUpDofSetEquationIds()
{
// Firstly check that the DOF set is initialized
KRATOS_ERROR_IF_NOT(mDofSetIsInitialized) << "Trying to set the equation ids. before initializing the DOF set. Please call the SetUpDofSet() before." << std::endl;
KRATOS_ERROR_IF(mEquationSystemSize == 0) << "Trying to set the equation ids. in an empty DOF set (equation system size is 0)." << std::endl;
// Loop the DOF set to assign the equation ids
IndexPartition<int>(mEquationSystemSize).for_each(
[&](int i_dof){
auto it_dof = mDofSet.begin() + i_dof;
it_dof->SetEquationId(i_dof);
}
);
}
/**
* @brief Set the Up Lumped Mass Vector object
* This method sets up the lumped mass matrix used in the explicit update.
* Note that it requires that the equation ids. are already set and the
* implementation of the mass contributions to be done in the element level.
* @param rModelPart The model part to compute
*/
virtual void SetUpLumpedMassVector(const ModelPart &rModelPart)
{
KRATOS_TRY;
KRATOS_INFO_IF("ExplicitBuilder", this->GetEchoLevel() > 1) << "Setting up the lumped mass matrix vector" << std::endl;
// Initialize the lumped mass matrix vector
// Note that the lumped mass matrix vector size matches the dof set one
mpLumpedMassVector = TSystemVectorPointerType(new TSystemVectorType(GetDofSet().size()));
TDenseSpace::SetToZero(*mpLumpedMassVector);
// Loop the elements to get the mass matrix
LocalSystemVectorType elem_mass_vector;
LocalSystemMatrixType elem_mass_matrix;
const auto &r_elements_array = rModelPart.Elements();
const auto &r_process_info = rModelPart.GetProcessInfo();
const int n_elems = static_cast<int>(r_elements_array.size());
#pragma omp for private(elem_mass_vector, elem_mass_matrix) schedule(guided, 512) nowait
for (int i_elem = 0; i_elem < n_elems; ++i_elem) {
const auto it_elem = r_elements_array.begin() + i_elem;
auto& r_geom = it_elem->GetGeometry();
// Calculate the elemental lumped mass vector
it_elem->CalculateMassMatrix(elem_mass_matrix, r_process_info);
const SizeType n_dofs_elem = elem_mass_matrix.size2();
if (elem_mass_vector.size() != n_dofs_elem) {
TDenseSpace::Resize(elem_mass_vector, n_dofs_elem);
}
for (IndexType i = 0; i < elem_mass_matrix.size1(); ++i) {
elem_mass_vector(i) = 0.0;
for (IndexType j = 0; j < elem_mass_matrix.size2(); ++j) {
elem_mass_vector(i) += elem_mass_matrix(i,j);
}
}
// Set it in the global lumped mass vector
const SizeType n_nodes = r_geom.PointsNumber();
for (IndexType i_node = 0; i_node < n_nodes; ++i_node) {
const auto& r_node_dofs = r_geom[i_node].GetDofs();
const SizeType n_dofs = r_node_dofs.size();
for (int i_dof = 0; i_dof < static_cast<int>(n_dofs); ++i_dof) {
const SizeType eq_id = r_node_dofs[i_dof]->EquationId();
const double aux_mass = elem_mass_vector(i_node * n_dofs + i_dof);
// NOTE THAT THIS IS A BOTTLENECK--> WE ASSUME THAT WE WILL NOT USE THE SPACES IN HERE
// #pragma omp critical
// {
// const double mass_value = TDenseSpace::GetValue(*mpLumpedMassVector, eq_id);
// TDenseSpace::SetValue(*mpLumpedMassVector, eq_id, aux_mass + mass_value);
// }
#pragma omp atomic
(*mpLumpedMassVector)[eq_id] += aux_mass;
}
}
}
// Set the lumped mass vector flag as true
mLumpedMassVectorIsInitialized = true;
KRATOS_CATCH("");
}
/**
* @brief Initialize the DOF set reactions
* For an already initialized dof set (mDofSet), this method sets to
* zero the corresponding reaction variable values. Note that in the
* explicit build the reactions are used as residual container.
*/
virtual void InitializeDofSetReactions()
{
// Firstly check that the DOF set is initialized
KRATOS_ERROR_IF_NOT(mDofSetIsInitialized) << "Trying to initialize the explicit residual but the DOFs set is not initialized yet." << std::endl;
KRATOS_ERROR_IF(mEquationSystemSize == 0) << "Trying to set the equation ids. in an empty DOF set (equation system size is 0)." << std::endl;
// Loop the reactions to initialize them to zero
block_for_each(
mDofSet,
[](DofType& rDof){
rDof.GetSolutionStepReactionValue() = 0.0;
}
);
}
/**
* @brief It computes the reactions of the system
* @param rModelPart The model part to compute
*/
virtual void CalculateReactions()
{
if (mCalculateReactionsFlag) {
// Firstly check that the DOF set is initialized
KRATOS_ERROR_IF_NOT(mDofSetIsInitialized) << "Trying to initialize the explicit residual but the DOFs set is not initialized yet." << std::endl;
KRATOS_ERROR_IF(mEquationSystemSize == 0) << "Trying to set the equation ids. in an empty DOF set (equation system size is 0)." << std::endl;
// Calculate the reactions as minus the current value
// Note that we take advantage of the fact that Kratos always works with a residual based formulation
// This means that the reactions are minus the residual. As we use the reaction as residual container
// during the explicit resolution of the problem, the calculate reactions is as easy as switching the sign
block_for_each(
mDofSet,
[](DofType& rDof){
auto& r_reaction_value = rDof.GetSolutionStepReactionValue();
r_reaction_value *= -1.0;
}
);
}
}
/**
* @brief This method validate and assign default parameters
* @param rParameters Parameters to be validated
* @param DefaultParameters The default parameters
* @return Returns validated Parameters
*/
virtual Parameters ValidateAndAssignParameters(
Parameters ThisParameters,
const Parameters DefaultParameters
) const
{
ThisParameters.ValidateAndAssignDefaults(DefaultParameters);
return ThisParameters;
}
/**
* @brief This method assigns settings to member variables
* @param ThisParameters Parameters that are assigned to the member variables
*/
virtual void AssignSettings(const Parameters ThisParameters)
{
}
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
}; /* Class ExplicitBuilder */
///@}
///@name Type Definitions
///@{
///@}
} /* namespace Kratos.*/
#endif /* KRATOS_EXPLICIT_BUILDER defined */
|
c-tree.h | /* Definitions for C parsing and type checking.
Copyright (C) 1987-2015 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/>. */
#ifndef GCC_C_TREE_H
#define GCC_C_TREE_H
#include "c-family/c-common.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 *))
/* 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)
/* 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 type is defined inside a struct or union type.
This is used for -Wc++-compat. */
#define C_TYPE_DEFINED_IN_STRUCT(TYPE) TYPE_LANG_FLAG_2 (TYPE)
/* Record whether an "incomplete type" error was given for the type. */
#define C_TYPE_ERROR_REPORTED(TYPE) TYPE_LANG_FLAG_3 (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 a PARM_DECL, nonzero if it was declared as an array. */
#define C_ARRAY_PARAMETER(NODE) DECL_LANG_FLAG_0 (NODE)
/* 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 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 \
|| (!prototype_p (TREE_TYPE (EXP)) \
&& !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)
/* For a CONSTRUCTOR, whether some initializer contains a
subexpression meaning it is not a constant expression. */
#define CONSTRUCTOR_NON_CONST(EXPR) TREE_LANG_FLAG_1 (CONSTRUCTOR_CHECK (EXPR))
/* 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 unary/binary operator of an expression, which may
have been changed by fold, STRING_CST for unparenthesized string
constants, C_MAYBE_CONST_EXPR for __builtin_constant_p calls
(even if parenthesized), for subexpressions, and for non-constant
initializers, or ERROR_MARK for other expressions (including
parenthesized expressions). */
enum tree_code original_code;
/* If not NULL, the original type of an expression. This will
differ from the type of the value field for an enum constant.
The type of an enum constant is a plain integer type, but this
field will be the enum type. */
tree original_type;
};
/* Type alias for struct c_expr. This allows to use the structure
inside the VEC types. */
typedef struct c_expr c_expr_t;
/* 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 {
/* No typespec. This appears only in struct c_declspec. */
ctsk_none,
/* 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, or _Atomic ( type-name ). */
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;
/* Whether the expression has operands suitable for use in constant
expressions. */
bool expr_const_operands;
/* The specifier itself. */
tree spec;
/* An expression to be evaluated before the type specifier, in the
case of typeof specifiers, or NULL otherwise or if no such
expression is required for a particular typeof specifier. In
particular, when typeof is applied to an expression of variably
modified type, that expression must be evaluated in order to
determine array sizes that form part of the type, but the
expression itself (as opposed to the array sizes) forms no part
of the type and so needs to be recorded separately. */
tree expr;
};
/* 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", "_Decimal32", "_Decimal64", "_Decimal128", "_Fract", "_Accum",
or none of these. */
enum c_typespec_keyword {
cts_none,
cts_void,
cts_bool,
cts_char,
cts_int,
cts_float,
cts_int_n,
cts_double,
cts_dfloat32,
cts_dfloat64,
cts_dfloat128,
cts_fract,
cts_accum,
cts_auto_type
};
/* This enum lists all the possible declarator specifiers, storage
class or attribute that a user can write. There is at least one
enumerator per possible declarator specifier in the struct
c_declspecs below.
It is used to index the array of declspec locations in struct
c_declspecs. */
enum c_declspec_word {
cdw_typespec /* A catch-all for a typespec. */,
cdw_storage_class /* A catch-all for a storage class */,
cdw_attributes,
cdw_typedef,
cdw_explicit_signed,
cdw_deprecated,
cdw_default_int,
cdw_long,
cdw_long_long,
cdw_short,
cdw_signed,
cdw_unsigned,
cdw_complex,
cdw_inline,
cdw_noreturn,
cdw_thread,
cdw_const,
cdw_volatile,
cdw_restrict,
cdw_saturating,
cdw_alignas,
cdw_address_space,
cdw_number_of_elements /* This one must always be the last
enumerator. */
};
/* A sequence of declaration specifiers in C. When a new declaration
specifier is added, please update the enum c_declspec_word above
accordingly. */
struct c_declspecs {
source_location locations[cdw_number_of_elements];
/* 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;
/* Any expression to be evaluated before the type, from a typeof
specifier. */
tree expr;
/* 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;
/* The base-2 log of the greatest alignment required by an _Alignas
specifier, in bytes, or -1 if no such specifiers with nonzero
alignment. */
int align_log;
/* For the __intN declspec, this stores the index into the int_n_* arrays. */
int int_n_idx;
/* The storage class specifier, or csc_none if none. */
enum c_storage_class storage_class;
/* Any type specifier keyword used such as "int", not reflecting
modifiers such as "short", or cts_none if none. */
ENUM_BITFIELD (c_typespec_keyword) typespec_word : 8;
/* The kind of type specifier if one has been seen, ctsk_none
otherwise. */
ENUM_BITFIELD (c_typespec_kind) typespec_kind : 3;
/* Whether any expressions in typeof specifiers may appear in
constant expressions. */
BOOL_BITFIELD expr_const_operands : 1;
/* Whether any declaration specifiers have been seen at all. */
BOOL_BITFIELD declspecs_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 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;
/* Whether the type defaulted to "int" because there were no type
specifiers. */
BOOL_BITFIELD default_int_p : 1;
/* 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 "_Noreturn" was speciied. */
BOOL_BITFIELD noreturn_p : 1;
/* Whether "__thread" or "_Thread_local" was specified. */
BOOL_BITFIELD thread_p : 1;
/* Whether "__thread" rather than "_Thread_local" was specified. */
BOOL_BITFIELD thread_gnu_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;
/* Whether "_Atomic" was specified. */
BOOL_BITFIELD atomic_p : 1;
/* Whether "_Sat" was specified. */
BOOL_BITFIELD saturating_p : 1;
/* Whether any alignment specifier (even with zero alignment) was
specified. */
BOOL_BITFIELD alignas_p : 1;
/* The address space that the declaration belongs to. */
addr_space_t address_space;
};
/* 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,
/* Parenthesized declarator with nested attributes. */
cdk_attrs
};
typedef struct c_arg_tag_d {
/* The argument name. */
tree id;
/* The type of the argument. */
tree type;
} c_arg_tag;
/* 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. */
vec<c_arg_tag, va_gc> *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 compound expression of VLA sizes from the parameters, or NULL.
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;
location_t id_loc; /* Currently only set for cdk_id, cdk_array. */
/* Except for cdk_id, the contained declarator. For cdk_id, NULL. */
struct c_declarator *declarator;
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;
};
/* Used when parsing an enum. Initialized by start_enum. */
struct c_enum_contents
{
/* While defining an enum type, this is 1 plus the last enumerator
constant value. */
tree enum_next_value;
/* Nonzero means that there was overflow computing enum_next_value. */
int enum_overflow;
};
/* A type of reference to a static identifier in an inline
function. */
enum c_inline_static_type {
/* Identifier with internal linkage used in function that may be an
inline definition (i.e., file-scope static). */
csi_internal,
/* Modifiable object with static storage duration defined in
function that may be an inline definition (i.e., local
static). */
csi_modifiable
};
/* 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 */
struct c_spot_bindings;
struct c_struct_parse_info;
extern struct obstack parser_obstack;
extern tree c_break_label;
extern tree c_cont_label;
extern bool global_bindings_p (void);
extern void push_scope (void);
extern tree pop_scope (void);
extern void c_bindings_start_stmt_expr (struct c_spot_bindings *);
extern void c_bindings_end_stmt_expr (struct c_spot_bindings *);
extern void record_inline_static (location_t, tree, tree,
enum c_inline_static_type);
extern void c_init_decl_processing (void);
extern void c_print_identifier (FILE *, tree, int);
extern int quals_from_declspecs (const struct c_declspecs *);
extern struct c_declarator *build_array_declarator (location_t, tree,
struct c_declspecs *,
bool, bool);
extern tree build_enumerator (location_t, location_t, struct c_enum_contents *,
tree, tree);
extern tree check_for_loop_decls (location_t, bool);
extern void mark_forward_parm_decls (void);
extern void declare_parm_level (void);
extern void undeclared_variable (location_t, tree);
extern tree lookup_label_for_goto (location_t, tree);
extern tree declare_label (tree);
extern tree define_label (location_t, tree);
extern struct c_spot_bindings *c_get_switch_bindings (void);
extern void c_release_switch_bindings (struct c_spot_bindings *);
extern bool c_check_switch_jump_warnings (struct c_spot_bindings *,
location_t, location_t);
extern void finish_decl (tree, location_t, tree, tree, tree);
extern tree finish_enum (tree, tree, tree);
extern void finish_function (void);
extern tree finish_struct (location_t, tree, tree, tree,
struct c_struct_parse_info *);
extern struct c_arg_info *build_arg_info (void);
extern struct c_arg_info *get_parm_info (bool, tree);
extern tree grokfield (location_t, struct c_declarator *,
struct c_declspecs *, tree, tree *);
extern tree groktypename (struct c_type_name *, tree *, bool *);
extern tree grokparm (const struct c_parm *, tree *);
extern tree implicitly_declare (location_t, tree);
extern void keep_next_level (void);
extern void pending_xref_error (void);
extern void c_push_function_context (void);
extern void c_pop_function_context (void);
extern void push_parm_decl (const struct c_parm *, tree *);
extern struct c_declarator *set_array_declarator_inner (struct c_declarator *,
struct c_declarator *);
extern tree c_builtin_function (tree);
extern tree c_builtin_function_ext_scope (tree);
extern void shadow_tag (const struct c_declspecs *);
extern void shadow_tag_warned (const struct c_declspecs *, int);
extern tree start_enum (location_t, struct c_enum_contents *, 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 (location_t, enum tree_code, tree,
struct c_struct_parse_info **);
extern void store_parm_decls (void);
extern void store_parm_decls_from (struct c_arg_info *);
extern void temp_store_parm_decls (tree, tree);
extern void temp_pop_parm_decls (void);
extern tree xref_tag (enum tree_code, tree);
extern struct c_typespec parser_xref_tag (location_t, enum tree_code, 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 *);
extern struct c_declspecs *build_null_declspecs (void);
extern struct c_declspecs *declspecs_add_qual (source_location,
struct c_declspecs *, tree);
extern struct c_declspecs *declspecs_add_type (location_t,
struct c_declspecs *,
struct c_typespec);
extern struct c_declspecs *declspecs_add_scspec (source_location,
struct c_declspecs *, tree);
extern struct c_declspecs *declspecs_add_attrs (source_location,
struct c_declspecs *, tree);
extern struct c_declspecs *declspecs_add_addrspace (source_location,
struct c_declspecs *,
addr_space_t);
extern struct c_declspecs *declspecs_add_alignas (source_location,
struct c_declspecs *, tree);
extern struct c_declspecs *finish_declspecs (struct c_declspecs *);
/* in c-objc-common.c */
extern bool c_objc_common_init (void);
extern bool c_missing_noreturn_ok_p (tree);
extern bool c_warn_unused_global_decl (const_tree);
extern void c_initialize_diagnostics (diagnostic_context *);
extern bool c_vla_unspec_p (tree x, tree fn);
/* in c-typeck.c */
extern int in_alignof;
extern int in_sizeof;
extern int in_typeof;
extern tree c_last_sizeof_arg;
extern struct c_switch *c_switch_stack;
extern tree c_objc_common_truthvalue_conversion (location_t, tree);
extern tree require_complete_type (tree);
extern int same_translation_unit_p (const_tree, const_tree);
extern int comptypes (tree, tree);
extern int comptypes_check_different_types (tree, tree, bool *);
extern bool c_vla_type_p (const_tree);
extern bool c_mark_addressable (tree);
extern void c_incomplete_type_error (const_tree, const_tree);
extern tree c_type_promotes_to (tree);
extern struct c_expr default_function_array_conversion (location_t,
struct c_expr);
extern struct c_expr default_function_array_read_conversion (location_t,
struct c_expr);
extern struct c_expr convert_lvalue_to_rvalue (location_t, struct c_expr,
bool, bool);
extern void mark_exp_read (tree);
extern tree composite_type (tree, tree);
extern tree build_component_ref (location_t, tree, tree);
extern tree build_array_ref (location_t, tree, tree);
extern tree build_external_ref (location_t, tree, int, tree *);
extern void pop_maybe_used (bool);
extern struct c_expr c_expr_sizeof_expr (location_t, struct c_expr);
extern struct c_expr c_expr_sizeof_type (location_t, struct c_type_name *);
extern struct c_expr parser_build_unary_op (location_t, enum tree_code,
struct c_expr);
extern struct c_expr parser_build_binary_op (location_t,
enum tree_code, struct c_expr,
struct c_expr);
extern tree build_conditional_expr (location_t, tree, bool, tree, tree,
tree, tree);
extern tree build_compound_expr (location_t, tree, tree);
extern tree c_cast_expr (location_t, struct c_type_name *, tree);
extern tree build_c_cast (location_t, tree, tree);
extern void store_init_value (location_t, tree, tree, tree);
extern void maybe_warn_string_init (location_t, 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 (location_t, int, struct obstack *);
extern struct c_expr pop_init_level (location_t, int, struct obstack *);
extern void set_init_index (location_t, tree, tree, struct obstack *);
extern void set_init_label (location_t, tree, struct obstack *);
extern void process_init_element (location_t, struct c_expr, bool,
struct obstack *);
extern tree build_compound_literal (location_t, tree, tree, bool);
extern void check_compound_literal_type (location_t, struct c_type_name *);
extern tree c_start_case (location_t, location_t, tree, bool);
extern void c_finish_case (tree, tree);
extern tree build_asm_expr (location_t, tree, tree, tree, tree, tree, bool);
extern tree build_asm_stmt (tree, tree);
extern int c_types_compatible_p (tree, tree);
extern tree c_begin_compound_stmt (bool);
extern tree c_end_compound_stmt (location_t, tree, bool);
extern void c_finish_if_stmt (location_t, tree, tree, tree, bool);
extern void c_finish_loop (location_t, tree, tree, tree, tree, tree, bool);
extern tree c_begin_stmt_expr (void);
extern tree c_finish_stmt_expr (location_t, tree);
extern tree c_process_expr_stmt (location_t, tree);
extern tree c_finish_expr_stmt (location_t, tree);
extern tree c_finish_return (location_t, tree, tree);
extern tree c_finish_bc_stmt (location_t, tree *, bool);
extern tree c_finish_goto_label (location_t, tree);
extern tree c_finish_goto_ptr (location_t, tree);
extern tree c_expr_to_decl (tree, bool *, bool *);
extern tree c_finish_oacc_parallel (location_t, tree, tree);
extern tree c_finish_oacc_kernels (location_t, tree, tree);
extern tree c_finish_oacc_data (location_t, tree, tree);
extern tree c_begin_omp_parallel (void);
extern tree c_finish_omp_parallel (location_t, tree, tree);
extern tree c_begin_omp_task (void);
extern tree c_finish_omp_task (location_t, tree, tree);
extern void c_finish_omp_cancel (location_t, tree);
extern void c_finish_omp_cancellation_point (location_t, tree);
extern tree c_finish_omp_clauses (tree);
extern tree c_build_va_arg (location_t, tree, tree);
extern tree c_finish_transaction (location_t, tree, int);
extern bool c_tree_equal (tree, tree);
extern tree c_build_function_call_vec (location_t, vec<location_t>, tree,
vec<tree, va_gc> *, vec<tree, va_gc> *);
/* 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;
/* In c-decl.c */
/* Tell the binding oracle what kind of binding we are looking for. */
enum c_oracle_request
{
C_ORACLE_SYMBOL,
C_ORACLE_TAG,
C_ORACLE_LABEL
};
/* If this is non-NULL, then it is a "binding oracle" which can lazily
create bindings when needed by the C compiler. The oracle is told
the name and type of the binding to create. It can call pushdecl
or the like to ensure the binding is visible; or do nothing,
leaving the binding untouched. c-decl.c takes note of when the
oracle has been called and will not call it again if it fails to
create a given binding. */
typedef void c_binding_oracle_function (enum c_oracle_request, tree identifier);
extern c_binding_oracle_function *c_binding_oracle;
extern void c_finish_incomplete_decl (tree);
extern void c_write_global_declarations (void);
extern tree c_omp_reduction_id (enum tree_code, tree);
extern tree c_omp_reduction_decl (tree);
extern tree c_omp_reduction_lookup (tree, tree);
extern tree c_check_omp_declare_reduction_r (tree *, int *, void *);
extern void c_pushtag (location_t, tree, tree);
extern void c_bind (location_t, tree, bool);
/* In c-errors.c */
extern void pedwarn_c90 (location_t, int opt, const char *, ...)
ATTRIBUTE_GCC_DIAG(3,4);
extern bool pedwarn_c99 (location_t, int opt, const char *, ...)
ATTRIBUTE_GCC_DIAG(3,4);
#endif /* ! GCC_C_TREE_H */
|
accuracy_cython.c | /* Generated by Cython 0.23.4 */
/* BEGIN: Cython Metadata
{
"distutils": {
"extra_compile_args": [
"-fopenmp"
],
"extra_link_args": [
"-fopenmp"
]
}
}
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 < 0x03020000)
#error Cython requires Python 2.6+ or Python 3.2+.
#else
#define CYTHON_ABI "0_23_4"
#include <stddef.h>
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
#ifndef __stdcall
#define __stdcall
#endif
#ifndef __cdecl
#define __cdecl
#endif
#ifndef __fastcall
#define __fastcall
#endif
#endif
#ifndef DL_IMPORT
#define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
#define DL_EXPORT(t) t
#endif
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
#define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
#define CYTHON_COMPILING_IN_PYPY 1
#define CYTHON_COMPILING_IN_CPYTHON 0
#else
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_CPYTHON 1
#endif
#if !defined(CYTHON_USE_PYLONG_INTERNALS) && CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x02070000
#define CYTHON_USE_PYLONG_INTERNALS 1
#endif
#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
#define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#define __Pyx_DefaultClassType PyClass_Type
#else
#define __Pyx_BUILTIN_MODULE_NAME "builtins"
#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 PyType_Type
#endif
#ifndef Py_TPFLAGS_CHECKTYPES
#define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
#define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
#define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
#define Py_TPFLAGS_HAVE_FINALIZE 0
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
#define CYTHON_PEP393_ENABLED 1
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
0 : _PyUnicode_Ready((PyObject *)(op)))
#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_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)
#else
#define CYTHON_PEP393_ENABLED 0
#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_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]))
#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)
#endif
#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? 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)
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#if PY_MAJOR_VERSION >= 3
#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#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
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#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
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#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
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#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
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#endif
#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func))
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#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
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#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
#elif CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
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#define __Pyx_PyType_AsAsync(obj) NULL
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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
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#define CYTHON_RESTRICT
#endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifndef CYTHON_INLINE
#if defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
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#define __PYX_EXTERN_C extern
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#define __PYX_HAVE__glove__metrics__accuracy_cython
#define __PYX_HAVE_API__glove__metrics__accuracy_cython
#include "pythread.h"
#include "string.h"
#include "stdlib.h"
#include "stdio.h"
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
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#ifdef PYREX_WITHOUT_ASSERTIONS
#define CYTHON_WITHOUT_ASSERTIONS
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
# define CYTHON_UNUSED __attribute__ ((__unused__))
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# define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
# define CYTHON_NCP_UNUSED
# else
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typedef struct {PyObject **p; char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0
#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))) )
#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) && defined (_M_X64)
#define __Pyx_sst_abs(value) _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 char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyObject_AsSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
#if PY_MAJOR_VERSION < 3
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);
}
#else
#define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen
#endif
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
#define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False))
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x);
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_COMPILING_IN_CPYTHON
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
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#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(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));
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;
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#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 PyObject *__pyx_m;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
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[] = {
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};
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 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;
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typedef struct {
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size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
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__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;
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#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)) &&\
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#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"
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#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")
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#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"
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#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)\
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struct __pyx_array_obj;
struct __pyx_MemviewEnum_obj;
struct __pyx_memoryview_obj;
struct __pyx_memoryviewslice_obj;
/* "View.MemoryView":101
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struct __pyx_array_obj {
PyObject_HEAD
char *data;
Py_ssize_t len;
char *format;
int ndim;
Py_ssize_t *_shape;
Py_ssize_t *_strides;
Py_ssize_t itemsize;
PyObject *mode;
PyObject *_format;
void (*callback_free_data)(void *);
int free_data;
int dtype_is_object;
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/* "View.MemoryView":271
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struct __pyx_MemviewEnum_obj {
PyObject_HEAD
PyObject *name;
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/* "View.MemoryView":304
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struct __pyx_memoryview_obj {
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struct __pyx_vtabstruct_memoryview *__pyx_vtab;
PyObject *obj;
PyObject *_size;
PyObject *_array_interface;
PyThread_type_lock lock;
__pyx_atomic_int acquisition_count[2];
__pyx_atomic_int *acquisition_count_aligned_p;
Py_buffer view;
int flags;
int dtype_is_object;
__Pyx_TypeInfo *typeinfo;
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/* "View.MemoryView":923
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*/
struct __pyx_memoryviewslice_obj {
struct __pyx_memoryview_obj __pyx_base;
__Pyx_memviewslice from_slice;
PyObject *from_object;
PyObject *(*to_object_func)(char *);
int (*to_dtype_func)(char *, PyObject *);
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/* "View.MemoryView":304
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struct __pyx_vtabstruct_memoryview {
char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *);
PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *);
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static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview;
/* "View.MemoryView":923
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*/
struct __pyx_vtabstruct__memoryviewslice {
struct __pyx_vtabstruct_memoryview __pyx_base;
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static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice;
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typedef struct {
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void (*DECREF)(void*, PyObject*, int);
void (*GOTREF)(void*, PyObject*, int);
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#define __Pyx_XINCREF(r) Py_XINCREF(r)
#define __Pyx_XDECREF(r) Py_XDECREF(r)
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static PyObject *__Pyx_GetBuiltinName(PyObject *name);
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
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static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
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static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj,
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static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info);
#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d
#define __Pyx_MEMVIEW_DIRECT 1
#define __Pyx_MEMVIEW_PTR 2
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#define __Pyx_MEMVIEW_CONTIG 8
#define __Pyx_MEMVIEW_STRIDED 16
#define __Pyx_MEMVIEW_FOLLOW 32
#define __Pyx_IS_C_CONTIG 1
#define __Pyx_IS_F_CONTIG 2
static int __Pyx_init_memviewslice(
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static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
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static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
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#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
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#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
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static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb);
static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
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static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
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#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
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static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
#include <string.h>
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
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#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
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#define UNARY_NEG_WOULD_OVERFLOW(x)\
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static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *get_memview(PyObject *__pyx_v_self); /*proto*/
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
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));
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb);
static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb);
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
(is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
__Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
int is_list, int wraparound, int boundscheck);
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static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self); /*proto*/
static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self); /*proto*/
static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self); /*proto*/
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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;
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return PyList_Append(list, x);
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#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self); /*proto*/
static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self); /*proto*/
static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self); /*proto*/
static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self); /*proto*/
static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self); /*proto*/
static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self); /*proto*/
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static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
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#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\
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static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
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return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
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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;
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return PyList_Append(list, x);
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#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
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static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self); /*proto*/
static void __Pyx_WriteUnraisable(const char *name, int clineno,
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int full_traceback, int nogil);
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
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static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
typedef struct {
int code_line;
PyCodeObject* code_object;
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struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
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static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
static void __Pyx_AddTraceback(const char *funcname, int c_line,
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typedef struct {
Py_ssize_t shape, strides, suboffsets;
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typedef struct {
size_t refcount;
Py_buffer pybuffer;
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typedef struct {
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__Pyx_Buf_DimInfo diminfo[8];
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static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
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#define __Pyx_GetBuffer PyObject_GetBuffer
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static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0};
static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1};
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
static int __Pyx_ValidateAndInit_memviewslice(
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int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *);
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *);
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *);
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_int(PyObject *);
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *);
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice *mvs,
char order, int ndim);
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
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);
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
static int __Pyx_check_binary_version(void);
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'glove.metrics.accuracy_cython' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static double __pyx_f_5glove_7metrics_15accuracy_cython_dot(__Pyx_memviewslice, __Pyx_memviewslice, int); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 };
#define __Pyx_MODULE_NAME "glove.metrics.accuracy_cython"
int __pyx_module_is_main_glove__metrics__accuracy_cython = 0;
/* Implementation of 'glove.metrics.accuracy_cython' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static char __pyx_k_O[] = "O";
static char __pyx_k_c[] = "c";
static char __pyx_k_i[] = "i";
static char __pyx_k_j[] = "j";
static char __pyx_k_k[] = "k";
static char __pyx_k_id[] = "id";
static char __pyx_k_obj[] = "obj";
static char __pyx_k_base[] = "base";
static char __pyx_k_main[] = "__main__";
static char __pyx_k_mode[] = "mode";
static char __pyx_k_name[] = "name";
static char __pyx_k_ndim[] = "ndim";
static char __pyx_k_pack[] = "pack";
static char __pyx_k_size[] = "size";
static char __pyx_k_step[] = "step";
static char __pyx_k_stop[] = "stop";
static char __pyx_k_test[] = "__test__";
static char __pyx_k_ASCII[] = "ASCII";
static char __pyx_k_class[] = "__class__";
static char __pyx_k_error[] = "error";
static char __pyx_k_flags[] = "flags";
static char __pyx_k_input[] = "input";
static char __pyx_k_range[] = "range";
static char __pyx_k_score[] = "score";
static char __pyx_k_shape[] = "shape";
static char __pyx_k_start[] = "start";
static char __pyx_k_encode[] = "encode";
static char __pyx_k_format[] = "format";
static char __pyx_k_import[] = "__import__";
static char __pyx_k_inputs[] = "inputs";
static char __pyx_k_name_2[] = "__name__";
static char __pyx_k_struct[] = "struct";
static char __pyx_k_unpack[] = "unpack";
static char __pyx_k_fortran[] = "fortran";
static char __pyx_k_memview[] = "memview";
static char __pyx_k_wordvec[] = "wordvec";
static char __pyx_k_Ellipsis[] = "Ellipsis";
static char __pyx_k_expected[] = "expected";
static char __pyx_k_itemsize[] = "itemsize";
static char __pyx_k_TypeError[] = "TypeError";
static char __pyx_k_enumerate[] = "enumerate";
static char __pyx_k_skip_word[] = "skip_word";
static char __pyx_k_IndexError[] = "IndexError";
static char __pyx_k_ValueError[] = "ValueError";
static char __pyx_k_no_threads[] = "no_threads";
static char __pyx_k_no_wordvec[] = "no_wordvec";
static char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static char __pyx_k_violations[] = "violations";
static char __pyx_k_MemoryError[] = "MemoryError";
static char __pyx_k_wordvec_norm[] = "wordvec_norm";
static char __pyx_k_no_components[] = "no_components";
static char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static char __pyx_k_allocate_buffer[] = "allocate_buffer";
static char __pyx_k_dtype_is_object[] = "dtype_is_object";
static char __pyx_k_rank_violations[] = "rank_violations";
static char __pyx_k_no_input_vectors[] = "no_input_vectors";
static char __pyx_k_score_of_expected[] = "score_of_expected";
static char __pyx_k_strided_and_direct[] = "<strided and direct>";
static char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static char __pyx_k_compute_rank_violations[] = "compute_rank_violations";
static char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static char __pyx_k_getbuffer_obj_view_flags[] = "getbuffer(obj, view, flags)";
static char __pyx_k_Dimension_d_is_not_direct[] = "Dimension %d is not direct";
static char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static char __pyx_k_Index_out_of_bounds_axis_d[] = "Index out of bounds (axis %d)";
static char __pyx_k_Step_may_not_be_zero_axis_d[] = "Step may not be zero (axis %d)";
static char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static char __pyx_k_glove_metrics_accuracy_cython[] = "glove.metrics.accuracy_cython";
static char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static char __pyx_k_home_maciej_Dropbox_code_glove[] = "/home/maciej/Dropbox/code/glove-python/glove/metrics/accuracy_cython.pyx";
static char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static char __pyx_k_All_dimensions_preceding_dimensi[] = "All dimensions preceding dimension %d must be indexed and not sliced";
static char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static char __pyx_k_Cannot_transpose_memoryview_with[] = "Cannot transpose memoryview with indirect dimensions";
static char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static 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_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_n_s_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_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_compute_rank_violations;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_expected;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
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static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
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static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
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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 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 */
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static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
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static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
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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 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_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_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;
static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__9;
static PyObject *__pyx_slice__10;
static PyObject *__pyx_slice__11;
static PyObject *__pyx_slice__12;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_tuple__14;
static PyObject *__pyx_tuple__16;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__18;
static PyObject *__pyx_tuple__19;
static PyObject *__pyx_tuple__20;
static PyObject *__pyx_codeobj__15;
/* "glove/metrics/accuracy_cython.pyx":7
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*
* cdef double dot(double[::1] x, # <<<<<<<<<<<<<<
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static double __pyx_f_5glove_7metrics_15accuracy_cython_dot(__Pyx_memviewslice __pyx_v_x, __Pyx_memviewslice __pyx_v_y, int __pyx_v_dim) {
int __pyx_v_i;
double __pyx_v_result;
double __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
Py_ssize_t __pyx_t_3;
Py_ssize_t __pyx_t_4;
/* "glove/metrics/accuracy_cython.pyx":12
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* cdef int i
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* for i in range(dim):
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__pyx_v_result = 0.0;
/* "glove/metrics/accuracy_cython.pyx":14
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* for i in range(dim): # <<<<<<<<<<<<<<
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*/
__pyx_t_1 = __pyx_v_dim;
for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
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/* "glove/metrics/accuracy_cython.pyx":15
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/* "glove/metrics/accuracy_cython.pyx":17
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/* "glove/metrics/accuracy_cython.pyx":7
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*
* cdef double dot(double[::1] x, # <<<<<<<<<<<<<<
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/* Python wrapper */
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case 4:
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if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_rank_violations)) != 0)) kw_args--;
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if (unlikely(kw_args > 0)) {
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__pyx_v_wordvec_norm = __Pyx_PyObject_to_MemoryviewSlice_dc_double(values[1]); if (unlikely(!__pyx_v_wordvec_norm.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 21; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_input = __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(values[2]); if (unlikely(!__pyx_v_input.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 22; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_expected = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[3]); if (unlikely(!__pyx_v_expected.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 23; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_inputs = __Pyx_PyObject_to_MemoryviewSlice_d_dc_int(values[4]); if (unlikely(!__pyx_v_inputs.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 24; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_rank_violations = __Pyx_PyObject_to_MemoryviewSlice_dc_int(values[5]); if (unlikely(!__pyx_v_rank_violations.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 25; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_no_threads = __Pyx_PyInt_As_int(values[6]); if (unlikely((__pyx_v_no_threads == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 26; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__pyx_L3_error:;
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/* "glove/metrics/accuracy_cython.pyx":20
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/* "View.MemoryView":709
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/* "View.MemoryView":706
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/* "View.MemoryView":737
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* memviewsliceobj.to_object_func,
* memviewsliceobj.to_dtype_func, # <<<<<<<<<<<<<<
* memview.dtype_is_object)
* else:
*/
if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 737; __pyx_clineno = __LINE__; goto __pyx_L1_error;} }
/* "View.MemoryView":735
*
* if isinstance(memview, _memoryviewslice):
* return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<<
* memviewsliceobj.to_object_func,
* memviewsliceobj.to_dtype_func,
*/
__pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 735; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 735; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3);
__pyx_t_3 = 0;
goto __pyx_L0;
/* "View.MemoryView":734
* new_ndim += 1
*
* if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<<
* return memoryview_fromslice(dst, new_ndim,
* memviewsliceobj.to_object_func,
*/
}
/* "View.MemoryView":740
* memview.dtype_is_object)
* else:
* return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<<
* memview.dtype_is_object)
*
*/
/*else*/ {
__Pyx_XDECREF(((PyObject *)__pyx_r));
/* "View.MemoryView":741
* else:
* return memoryview_fromslice(dst, new_ndim, NULL, NULL,
* memview.dtype_is_object) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 740; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
/* "View.MemoryView":740
* memview.dtype_is_object)
* else:
* return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<<
* memview.dtype_is_object)
*
*/
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 740; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3);
__pyx_t_3 = 0;
goto __pyx_L0;
}
/* "View.MemoryView":668
*
* @cname('__pyx_memview_slice')
* cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<<
* cdef int new_ndim = 0, suboffset_dim = -1, dim
* cdef bint negative_step
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_9);
__Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj);
__Pyx_XDECREF(__pyx_v_index);
__Pyx_XGIVEREF((PyObject *)__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "View.MemoryView":765
*
* @cname('__pyx_memoryview_slice_memviewslice')
* cdef int slice_memviewslice( # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,
*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) {
Py_ssize_t __pyx_v_new_shape;
int __pyx_v_negative_step;
int __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":785
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
__pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":787
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
__pyx_t_1 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":788
*
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":787
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
}
/* "View.MemoryView":789
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
__pyx_t_1 = (0 <= __pyx_v_start);
if (__pyx_t_1) {
__pyx_t_1 = (__pyx_v_start < __pyx_v_shape);
}
__pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":790
* start += shape
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<<
* else:
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, __pyx_k_Index_out_of_bounds_axis_d, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 790; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "View.MemoryView":789
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
}
/* "View.MemoryView":785
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
goto __pyx_L3;
}
/* "View.MemoryView":793
* else:
*
* negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<<
*
* if have_step and step == 0:
*/
/*else*/ {
__pyx_t_1 = ((__pyx_v_have_step != 0) != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step < 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L6_bool_binop_done:;
__pyx_v_negative_step = __pyx_t_2;
/* "View.MemoryView":795
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
__pyx_t_1 = (__pyx_v_have_step != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L9_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step == 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L9_bool_binop_done:;
if (__pyx_t_2) {
/* "View.MemoryView":796
*
* if have_step and step == 0:
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_Step_may_not_be_zero_axis_d, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "View.MemoryView":795
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
}
/* "View.MemoryView":799
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
__pyx_t_2 = (__pyx_v_have_start != 0);
if (__pyx_t_2) {
/* "View.MemoryView":800
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":801
* if have_start:
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if start < 0:
* start = 0
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":802
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":803
* start += shape
* if start < 0:
* start = 0 # <<<<<<<<<<<<<<
* elif start >= shape:
* if negative_step:
*/
__pyx_v_start = 0;
/* "View.MemoryView":802
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
}
/* "View.MemoryView":800
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
goto __pyx_L12;
}
/* "View.MemoryView":804
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
__pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":805
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":806
* elif start >= shape:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = shape
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":805
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L14;
}
/* "View.MemoryView":808
* start = shape - 1
* else:
* start = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
/*else*/ {
__pyx_v_start = __pyx_v_shape;
}
__pyx_L14:;
/* "View.MemoryView":804
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
}
__pyx_L12:;
/* "View.MemoryView":799
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
goto __pyx_L11;
}
/* "View.MemoryView":810
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":811
* else:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = 0
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":810
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L15;
}
/* "View.MemoryView":813
* start = shape - 1
* else:
* start = 0 # <<<<<<<<<<<<<<
*
* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
}
__pyx_L15:;
}
__pyx_L11:;
/* "View.MemoryView":815
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
__pyx_t_2 = (__pyx_v_have_stop != 0);
if (__pyx_t_2) {
/* "View.MemoryView":816
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":817
* if have_stop:
* if stop < 0:
* stop += shape # <<<<<<<<<<<<<<
* if stop < 0:
* stop = 0
*/
__pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);
/* "View.MemoryView":818
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":819
* stop += shape
* if stop < 0:
* stop = 0 # <<<<<<<<<<<<<<
* elif stop > shape:
* stop = shape
*/
__pyx_v_stop = 0;
/* "View.MemoryView":818
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
}
/* "View.MemoryView":816
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
goto __pyx_L17;
}
/* "View.MemoryView":820
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
__pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":821
* stop = 0
* elif stop > shape:
* stop = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
__pyx_v_stop = __pyx_v_shape;
/* "View.MemoryView":820
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
}
__pyx_L17:;
/* "View.MemoryView":815
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
goto __pyx_L16;
}
/* "View.MemoryView":823
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":824
* else:
* if negative_step:
* stop = -1 # <<<<<<<<<<<<<<
* else:
* stop = shape
*/
__pyx_v_stop = -1L;
/* "View.MemoryView":823
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
goto __pyx_L19;
}
/* "View.MemoryView":826
* stop = -1
* else:
* stop = shape # <<<<<<<<<<<<<<
*
* if not have_step:
*/
/*else*/ {
__pyx_v_stop = __pyx_v_shape;
}
__pyx_L19:;
}
__pyx_L16:;
/* "View.MemoryView":828
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
* step = 1
*
*/
__pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":829
*
* if not have_step:
* step = 1 # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_step = 1;
/* "View.MemoryView":828
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
* step = 1
*
*/
}
/* "View.MemoryView":833
*
* with cython.cdivision(True):
* new_shape = (stop - start) // step # <<<<<<<<<<<<<<
*
* if (stop - start) - step * new_shape:
*/
__pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);
/* "View.MemoryView":835
* new_shape = (stop - start) // step
*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
__pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":836
*
* if (stop - start) - step * new_shape:
* new_shape += 1 # <<<<<<<<<<<<<<
*
* if new_shape < 0:
*/
__pyx_v_new_shape = (__pyx_v_new_shape + 1);
/* "View.MemoryView":835
* new_shape = (stop - start) // step
*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
}
/* "View.MemoryView":838
* new_shape += 1
*
* if new_shape < 0: # <<<<<<<<<<<<<<
* new_shape = 0
*
*/
__pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":839
*
* if new_shape < 0:
* new_shape = 0 # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_new_shape = 0;
/* "View.MemoryView":838
* new_shape += 1
*
* if new_shape < 0: # <<<<<<<<<<<<<<
* new_shape = 0
*
*/
}
/* "View.MemoryView":842
*
*
* dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<<
* dst.shape[new_ndim] = new_shape
* dst.suboffsets[new_ndim] = suboffset
*/
(__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step);
/* "View.MemoryView":843
*
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<<
* dst.suboffsets[new_ndim] = suboffset
*
*/
(__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape;
/* "View.MemoryView":844
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape
* dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset;
}
__pyx_L3:;
/* "View.MemoryView":847
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
__pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":848
*
* if suboffset_dim[0] < 0:
* dst.data += start * stride # <<<<<<<<<<<<<<
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride
*/
__pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride));
/* "View.MemoryView":847
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
goto __pyx_L23;
}
/* "View.MemoryView":850
* dst.data += start * stride
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<<
*
* if suboffset >= 0:
*/
/*else*/ {
__pyx_t_3 = (__pyx_v_suboffset_dim[0]);
(__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride));
}
__pyx_L23:;
/* "View.MemoryView":852
* dst.suboffsets[suboffset_dim[0]] += start * stride
*
* if suboffset >= 0: # <<<<<<<<<<<<<<
* if not is_slice:
* if new_ndim == 0:
*/
__pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":853
*
* if suboffset >= 0:
* if not is_slice: # <<<<<<<<<<<<<<
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset
*/
__pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":854
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
*/
__pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":855
* if not is_slice:
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset # <<<<<<<<<<<<<<
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d "
*/
__pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset);
/* "View.MemoryView":854
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
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*/
goto __pyx_L7_break;
/* "View.MemoryView":1086
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L7_break:;
/* "View.MemoryView":1090
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
__pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1091
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
* return 'C' # <<<<<<<<<<<<<<
* else:
* return 'F'
*/
__pyx_r = 'C';
goto __pyx_L0;
/* "View.MemoryView":1090
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
}
/* "View.MemoryView":1093
* return 'C'
* else:
* return 'F' # <<<<<<<<<<<<<<
*
* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
}
/* "View.MemoryView":1072
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1096
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
Py_ssize_t __pyx_v_dst_extent;
Py_ssize_t __pyx_v_src_stride;
Py_ssize_t __pyx_v_dst_stride;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
Py_ssize_t __pyx_t_4;
Py_ssize_t __pyx_t_5;
/* "View.MemoryView":1103
*
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
*/
__pyx_v_src_extent = (__pyx_v_src_shape[0]);
/* "View.MemoryView":1104
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0]
*/
__pyx_v_dst_extent = (__pyx_v_dst_shape[0]);
/* "View.MemoryView":1105
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
*/
__pyx_v_src_stride = (__pyx_v_src_strides[0]);
/* "View.MemoryView":1106
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<
*
* if ndim == 1:
*/
__pyx_v_dst_stride = (__pyx_v_dst_strides[0]);
/* "View.MemoryView":1108
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1109
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1110
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1109
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1111
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent));
/* "View.MemoryView":1109
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1113
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
__pyx_v_i = __pyx_t_5;
/* "View.MemoryView":1114
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize);
/* "View.MemoryView":1115
* 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":1116
* 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":1108
* 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":1118
* 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;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
__pyx_v_i = __pyx_t_5;
/* "View.MemoryView":1119
* 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":1123
* 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":1124
* 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":1096
*
* @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":1126
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1129
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1126
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1133
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
int __pyx_v_i;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1136
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
* cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1138
* cdef Py_ssize_t size = src.memview.view.itemsize
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* size *= src.shape[i]
*
*/
__pyx_t_2 = __pyx_v_ndim;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1139
*
* for i in range(ndim):
* size *= src.shape[i] # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i]));
}
/* "View.MemoryView":1141
* size *= src.shape[i]
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1133
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1144
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1153
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
__pyx_t_1 = ((__pyx_v_order == 'F') != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1154
*
* if order == 'F':
* for idx in range(ndim): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride = stride * shape[idx]
*/
__pyx_t_2 = __pyx_v_ndim;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_idx = __pyx_t_3;
/* "View.MemoryView":1155
* if order == 'F':
* for idx in range(ndim):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride = stride * shape[idx]
* else:
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1156
* for idx in range(ndim):
* strides[idx] = stride
* stride = stride * shape[idx] # <<<<<<<<<<<<<<
* else:
* for idx in range(ndim - 1, -1, -1):
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
/* "View.MemoryView":1153
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
goto __pyx_L3;
}
/* "View.MemoryView":1158
* stride = stride * shape[idx]
* else:
* for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride = stride * shape[idx]
*/
/*else*/ {
for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1L; __pyx_t_2-=1) {
__pyx_v_idx = __pyx_t_2;
/* "View.MemoryView":1159
* else:
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride = stride * shape[idx]
*
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1160
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride
* stride = stride * shape[idx] # <<<<<<<<<<<<<<
*
* return stride
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
}
__pyx_L3:;
/* "View.MemoryView":1162
* stride = stride * shape[idx]
*
* return stride # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_copy_data_to_temp')
*/
__pyx_r = __pyx_v_stride;
goto __pyx_L0;
/* "View.MemoryView":1144
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1165
*
* @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_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":1176
* cdef void *result
*
* cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<
* cdef size_t size = slice_get_size(src, ndim)
*
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1177
*
* cdef size_t itemsize = src.memview.view.itemsize
* cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<<
*
* result = malloc(size)
*/
__pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);
/* "View.MemoryView":1179
* cdef size_t size = slice_get_size(src, ndim)
*
* result = malloc(size) # <<<<<<<<<<<<<<
* if not result:
* _err(MemoryError, NULL)
*/
__pyx_v_result = malloc(__pyx_v_size);
/* "View.MemoryView":1180
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
__pyx_t_2 = ((!(__pyx_v_result != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1181
* result = malloc(size)
* if not result:
* _err(MemoryError, NULL) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 1181; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "View.MemoryView":1180
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
}
/* "View.MemoryView":1184
*
*
* tmpslice.data = <char *> result # <<<<<<<<<<<<<<
* tmpslice.memview = src.memview
* for i in range(ndim):
*/
__pyx_v_tmpslice->data = ((char *)__pyx_v_result);
/* "View.MemoryView":1185
*
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview # <<<<<<<<<<<<<<
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i]
*/
__pyx_t_4 = __pyx_v_src->memview;
__pyx_v_tmpslice->memview = __pyx_t_4;
/* "View.MemoryView":1186
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview
* for i in range(ndim): # <<<<<<<<<<<<<<
* tmpslice.shape[i] = src.shape[i]
* tmpslice.suboffsets[i] = -1
*/
__pyx_t_3 = __pyx_v_ndim;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) {
__pyx_v_i = __pyx_t_5;
/* "View.MemoryView":1187
* tmpslice.memview = src.memview
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<<
* tmpslice.suboffsets[i] = -1
*
*/
(__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]);
/* "View.MemoryView":1188
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i]
* tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<
*
* fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize,
*/
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/* "View.MemoryView":1236
* cdef size_t itemsize = src.memview.view.itemsize
* cdef int i
* cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<<
* cdef bint broadcasting = False
* cdef bint direct_copy = False
*/
__pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim);
/* "View.MemoryView":1237
* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
* cdef bint broadcasting = False # <<<<<<<<<<<<<<
* cdef bint direct_copy = False
* cdef __Pyx_memviewslice tmp
*/
__pyx_v_broadcasting = 0;
/* "View.MemoryView":1238
* cdef char order = get_best_order(&src, src_ndim)
* cdef bint broadcasting = False
* cdef bint direct_copy = False # <<<<<<<<<<<<<<
* cdef __Pyx_memviewslice tmp
*
*/
__pyx_v_direct_copy = 0;
/* "View.MemoryView":1241
* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
__pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1242
*
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<<
* elif dst_ndim < src_ndim:
* broadcast_leading(&dst, dst_ndim, src_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim);
/* "View.MemoryView":1241
* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
goto __pyx_L3;
}
/* "View.MemoryView":1243
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
__pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1244
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
* broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<<
*
* cdef int ndim = max(src_ndim, dst_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);
/* "View.MemoryView":1243
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
}
__pyx_L3:;
/* "View.MemoryView":1246
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
* cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
__pyx_t_3 = __pyx_v_dst_ndim;
__pyx_t_4 = __pyx_v_src_ndim;
if (((__pyx_t_3 > __pyx_t_4) != 0)) {
__pyx_t_5 = __pyx_t_3;
} else {
__pyx_t_5 = __pyx_t_4;
}
__pyx_v_ndim = __pyx_t_5;
/* "View.MemoryView":1248
* cdef int ndim = max(src_ndim, dst_ndim)
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
*/
__pyx_t_5 = __pyx_v_ndim;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_5; __pyx_t_3+=1) {
__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1249
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1250
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1251
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
* broadcasting = True # <<<<<<<<<<<<<<
* src.strides[i] = 0
* else:
*/
__pyx_v_broadcasting = 1;
/* "View.MemoryView":1252
* if src.shape[i] == 1:
* broadcasting = True
* src.strides[i] = 0 # <<<<<<<<<<<<<<
* else:
* _err_extents(i, dst.shape[i], src.shape[i])
*/
(__pyx_v_src.strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1250
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
goto __pyx_L7;
}
/* "View.MemoryView":1254
* src.strides[i] = 0
* else:
* _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<<
*
* if src.suboffsets[i] >= 0:
*/
/*else*/ {
__pyx_t_4 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 1254; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_L7:;
/* "View.MemoryView":1249
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
}
/* "View.MemoryView":1256
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
__pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1257
*
* if src.suboffsets[i] >= 0:
* _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<<
*
* if slices_overlap(&src, &dst, ndim, itemsize):
*/
__pyx_t_4 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_Dimension_d_is_not_direct, __pyx_v_i); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 1257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "View.MemoryView":1256
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
}
}
/* "View.MemoryView":1259
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(&src, order, ndim):
*/
__pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1261
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(&src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
__pyx_t_2 = ((!(__pyx_memviewslice_is_contig((&__pyx_v_src), __pyx_v_order, __pyx_v_ndim) != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1262
*
* if not slice_is_contig(&src, order, ndim):
* order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<<
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
*/
__pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);
/* "View.MemoryView":1261
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(&src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
}
/* "View.MemoryView":1264
* order = get_best_order(&dst, ndim)
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<<
* src = tmp
*
*/
__pyx_t_6 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_6 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 1264; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_tmpdata = __pyx_t_6;
/* "View.MemoryView":1265
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
* src = tmp # <<<<<<<<<<<<<<
*
* if not broadcasting:
*/
__pyx_v_src = __pyx_v_tmp;
/* "View.MemoryView":1259
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(&src, order, ndim):
*/
}
/* "View.MemoryView":1267
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1270
*
*
* if slice_is_contig(&src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(&dst, 'C', ndim)
* elif slice_is_contig(&src, 'F', ndim):
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig((&__pyx_v_src), 'C', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1271
*
* if slice_is_contig(&src, 'C', ndim):
* direct_copy = slice_is_contig(&dst, 'C', ndim) # <<<<<<<<<<<<<<
* elif slice_is_contig(&src, 'F', ndim):
* direct_copy = slice_is_contig(&dst, 'F', ndim)
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig((&__pyx_v_dst), 'C', __pyx_v_ndim);
/* "View.MemoryView":1270
*
*
* 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":1272
* 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":1273
* 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":1272
* 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":1275
* 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":1277
* 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":1278
*
* 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)
*/
memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim));
/* "View.MemoryView":1279
* 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":1280
* 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":1281
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* if order == 'F' == get_best_order(&dst, ndim):
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1275
* direct_copy = slice_is_contig(&dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
}
/* "View.MemoryView":1267
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1283
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = (__pyx_v_order == 'F');
if (__pyx_t_2) {
__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
__pyx_t_7 = (__pyx_t_2 != 0);
if (__pyx_t_7) {
/* "View.MemoryView":1286
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
*
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 1286; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "View.MemoryView":1287
*
* 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 == 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 1287; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "View.MemoryView":1283
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1289
* transpose_memslice(&dst)
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1290
*
* 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":1291
* 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":1293
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1294
*
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_broadcast_leading')
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1225
*
* @cname('__pyx_memoryview_copy_contents')
* cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice dst,
* int src_ndim, int dst_ndim,
*/
/* function exit code */
__pyx_L1_error:;
{
#ifdef WITH_THREAD
PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure();
#endif
__Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename);
#ifdef WITH_THREAD
PyGILState_Release(__pyx_gilstate_save);
#endif
}
__pyx_r = -1;
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1297
*
* @cname('__pyx_memoryview_broadcast_leading')
* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
* int ndim_other) nogil:
*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) {
int __pyx_v_i;
int __pyx_v_offset;
int __pyx_t_1;
int __pyx_t_2;
/* "View.MemoryView":1301
* int ndim_other) nogil:
* cdef int i
* cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim);
/* "View.MemoryView":1303
* cdef int offset = ndim_other - ndim
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1L; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1304
*
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<<
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*/
(__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]);
/* "View.MemoryView":1305
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<<
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
*/
(__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1306
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<<
*
* for i in range(offset):
*/
(__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
}
/* "View.MemoryView":1308
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
* for i in range(offset): # <<<<<<<<<<<<<<
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0]
*/
__pyx_t_1 = __pyx_v_offset;
for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
__pyx_v_i = __pyx_t_2;
/* "View.MemoryView":1309
*
* for i in range(offset):
* mslice.shape[i] = 1 # <<<<<<<<<<<<<<
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1
*/
(__pyx_v_mslice->shape[__pyx_v_i]) = 1;
/* "View.MemoryView":1310
* for i in range(offset):
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<<
* mslice.suboffsets[i] = -1
*
*/
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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
};
static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryview_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryview_obj *)o);
p->__pyx_vtab = __pyx_vtabptr_memoryview;
p->obj = Py_None; Py_INCREF(Py_None);
p->_size = Py_None; Py_INCREF(Py_None);
p->_array_interface = Py_None; Py_INCREF(Py_None);
p->view.obj = NULL;
if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) {
Py_DECREF(o); o = 0;
}
return o;
}
static void __pyx_tp_dealloc_memoryview(PyObject *o) {
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
#if PY_VERSION_HEX >= 0x030400a1
if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_memoryview___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
if (p->obj) {
e = (*v)(p->obj, a); if (e) return e;
}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
e = (*v)(p->_array_interface, a); if (e) return e;
}
if (p->view.obj) {
e = (*v)(p->view.obj, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
tmp = ((PyObject*)p->obj);
p->obj = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_size);
p->_size = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_array_interface);
p->_array_interface = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
Py_CLEAR(p->view.obj);
return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
Py_DECREF(x);
return r;
}
static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_memoryview___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
"Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
return -1;
}
}
static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_transpose(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview__get__base(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_get_shape(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_get_strides(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_get_suboffsets(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_get_ndim(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_get_itemsize(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_get_nbytes(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryview_get_size(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
{"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
{(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, 0, 0},
{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, 0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, 0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, 0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, 0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, 0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, 0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, 0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, 0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"glove.metrics.accuracy_cython.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if PY_VERSION_HEX >= 0x030400a1
if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_memoryviewslice___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_memoryviewslice__get__base(o);
}
static PyMethodDef __pyx_methods__memoryviewslice[] = {
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, 0, 0},
{0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_memoryviewslice = {
PyVarObject_HEAD_INIT(0, 0)
"glove.metrics.accuracy_cython._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___repr__, /*tp_repr*/
#else
0, /*tp_repr*/
#endif
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
"Internal class for passing memoryview slices to Python", /*tp_doc*/
__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
__pyx_tp_clear__memoryviewslice, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods__memoryviewslice, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets__memoryviewslice, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new__memoryviewslice, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
};
static PyMethodDef __pyx_methods[] = {
{0, 0, 0, 0}
};
#if PY_MAJOR_VERSION >= 3
static struct PyModuleDef __pyx_moduledef = {
#if PY_VERSION_HEX < 0x03020000
{ PyObject_HEAD_INIT(NULL) NULL, 0, NULL },
#else
PyModuleDef_HEAD_INIT,
#endif
"accuracy_cython",
0, /* m_doc */
-1, /* m_size */
__pyx_methods /* m_methods */,
NULL, /* m_reload */
NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
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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 '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 '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 '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 CYTHON_INLINE PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number;
int ndim = ctx->head->field->type->ndim;
;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
ctx->enc_packmode == ctx->new_packmode) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
buf->buf = NULL;
buf->obj = NULL;
buf->strides = __Pyx_zeros;
buf->shape = __Pyx_zeros;
buf->suboffsets = __Pyx_minusones;
}
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(
Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,
int nd, int cast, __Pyx_BufFmt_StackElem* stack)
{
if (obj == Py_None || obj == NULL) {
__Pyx_ZeroBuffer(buf);
return 0;
}
buf->buf = NULL;
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
if (buf->ndim != nd) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
nd, buf->ndim);
goto fail;
}
if (!cast) {
__Pyx_BufFmt_Context ctx;
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned)buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
return 0;
fail:;
__Pyx_ZeroBuffer(buf);
return -1;
}
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
if (info->buf == NULL) return;
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
__Pyx_ReleaseBuffer(info);
}
static int
__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference)
{
__Pyx_RefNannyDeclarations
int i, retval=-1;
Py_buffer *buf = &memview->view;
__Pyx_RefNannySetupContext("init_memviewslice", 0);
if (!buf) {
PyErr_SetString(PyExc_ValueError,
"buf is NULL.");
goto fail;
} else if (memviewslice->memview || memviewslice->data) {
PyErr_SetString(PyExc_ValueError,
"memviewslice is already initialized!");
goto fail;
}
if (buf->strides) {
for (i = 0; i < ndim; i++) {
memviewslice->strides[i] = buf->strides[i];
}
} else {
Py_ssize_t stride = buf->itemsize;
for (i = ndim - 1; i >= 0; i--) {
memviewslice->strides[i] = stride;
stride *= buf->shape[i];
}
}
for (i = 0; i < ndim; i++) {
memviewslice->shape[i] = buf->shape[i];
if (buf->suboffsets) {
memviewslice->suboffsets[i] = buf->suboffsets[i];
} else {
memviewslice->suboffsets[i] = -1;
}
}
memviewslice->memview = memview;
memviewslice->data = (char *)buf->buf;
if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {
Py_INCREF(memview);
}
retval = 0;
goto no_fail;
fail:
memviewslice->memview = 0;
memviewslice->data = 0;
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) {
va_list vargs;
char msg[200];
#ifdef HAVE_STDARG_PROTOTYPES
va_start(vargs, fmt);
#else
va_start(vargs);
#endif
vsnprintf(msg, 200, fmt, vargs);
Py_FatalError(msg);
va_end(vargs);
}
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)",
__pyx_get_slice_count(memview), lineno);
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);
last_time = __pyx_sub_acquisition_count(memview) == 1;
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);
}
} else {
memslice->memview = NULL;
}
}
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyThreadState *tstate = PyThreadState_GET();
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);
#else
PyErr_Restore(type, value, tb);
#endif
}
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyThreadState *tstate = PyThreadState_GET();
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(type, value, tb);
#endif
}
static void __Pyx_RaiseArgumentTypeInvalid(const char* name, PyObject *obj, PyTypeObject *type) {
PyErr_Format(PyExc_TypeError,
"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
}
static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
const char *name, int exact)
{
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (none_allowed && obj == Py_None) return 1;
else if (exact) {
if (likely(Py_TYPE(obj) == type)) return 1;
#if PY_MAJOR_VERSION == 2
else if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
#endif
}
else {
if (likely(PyObject_TypeCheck(obj, type))) return 1;
}
__Pyx_RaiseArgumentTypeInvalid(name, obj, type);
return 0;
}
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = func->ob_type->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
int is_subclass = PyObject_IsSubclass(instance_class, type);
if (!is_subclass) {
instance_class = NULL;
} else if (unlikely(is_subclass == -1)) {
goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
#if PY_VERSION_HEX >= 0x03030000
if (cause) {
#else
if (cause && cause != Py_None) {
#endif
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = PyThreadState_GET();
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
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 = 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
}
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;
}
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_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
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_COMPILING_IN_CPYTHON
#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);
}
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);
}
}
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);
}
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");
}
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(PyObject_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyThreadState *tstate = PyThreadState_GET();
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
#else
PyErr_GetExcInfo(type, value, tb);
#endif
}
static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyThreadState *tstate = PyThreadState_GET();
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);
#else
PyErr_SetExcInfo(type, value, tb);
#endif
}
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyThreadState *tstate = PyThreadState_GET();
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_COMPILING_IN_CPYTHON
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_COMPILING_IN_CPYTHON
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = local_type;
tstate->curexc_value = local_value;
tstate->curexc_traceback = local_tb;
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;
}
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_COMPILING_IN_CPYTHON
PyThreadState *tstate = PyThreadState_GET();
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;
#else
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_VERSION_HEX < 0x03030000
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if (strchr(__Pyx_MODULE_NAME, '.')) {
#if PY_VERSION_HEX < 0x03030000
PyObject *py_level = PyInt_FromLong(1);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
#endif
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_VERSION_HEX < 0x03030000
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_VERSION_HEX < 0x03030000
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_COMPILING_IN_CPYTHON
if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o);
if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_COMPILING_IN_CPYTHON
if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_COMPILING_IN_CPYTHON
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (PyErr_ExceptionMatches(PyExc_OverflowError))
PyErr_Clear();
else
return NULL;
}
}
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));
}
#if CYTHON_USE_PYLONG_INTERNALS
#include "longintrepr.h"
#endif
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
#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 && PY_MAJOR_VERSION >= 3
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
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;
} 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;
}
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} 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;
}
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;
} 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;
}
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;
} 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;
}
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;
} 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;
}
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;
} 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;
}
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
}
#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
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno,
CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename,
int full_traceback, CYTHON_UNUSED int nogil) {
PyObject *old_exc, *old_val, *old_tb;
PyObject *ctx;
#ifdef WITH_THREAD
PyGILState_STATE state;
if (nogil)
state = PyGILState_Ensure();
#endif
__Pyx_ErrFetch(&old_exc, &old_val, &old_tb);
if (full_traceback) {
Py_XINCREF(old_exc);
Py_XINCREF(old_val);
Py_XINCREF(old_tb);
__Pyx_ErrRestore(old_exc, old_val, old_tb);
PyErr_PrintEx(1);
}
#if PY_MAJOR_VERSION < 3
ctx = PyString_FromString(name);
#else
ctx = PyUnicode_FromString(name);
#endif
__Pyx_ErrRestore(old_exc, old_val, old_tb);
if (!ctx) {
PyErr_WriteUnraisable(Py_None);
} else {
PyErr_WriteUnraisable(ctx);
Py_DECREF(ctx);
}
#ifdef WITH_THREAD
if (nogil)
PyGILState_Release(state);
#endif
}
#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
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#ifdef __Pyx_CyFunction_USED
if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
#else
if (likely(PyCFunction_Check(func))) {
#endif
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
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;
}
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);
}
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
py_code = __pyx_find_code_object(c_line ? c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? c_line : py_line, py_code);
}
py_frame = PyFrame_New(
PyThreadState_GET(), /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
py_frame->f_lineno = py_line;
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (PyObject_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;
}
Py_DECREF(obj);
view->obj = NULL;
}
#endif
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;
}
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 && 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;
}
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj) {
__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 | PyBUF_WRITABLE), 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;
}
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *obj) {
__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 | PyBUF_WRITABLE), 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;
}
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *obj) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS, 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;
}
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_int(PyObject *obj) {
__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 | PyBUF_WRITABLE), 2,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj) {
__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 | PyBUF_WRITABLE), 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;
}
#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;\
}
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) -1, const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, -(sdigit) digits[0])
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_Int(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_Int(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;
}
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) -1, const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
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;
}
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);
}
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;
}
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;
}
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) -1, const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
const char neg_one = (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))
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, 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))
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_Int(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) -1, const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, -(sdigit) digits[0])
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_Int(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_Int(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;
}
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if CYTHON_COMPILING_IN_CPYTHON && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT)
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
#if PY_VERSION_HEX < 0x03030000
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
#else
if (__Pyx_PyUnicode_READY(o) == -1) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (PyUnicode_IS_ASCII(o)) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
#endif
} else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) {
PyNumberMethods *m;
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (PyInt_Check(x) || PyLong_Check(x))
#else
if (PyLong_Check(x))
#endif
return __Pyx_NewRef(x);
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = PyNumber_Int(x);
}
else if (m && m->nb_long) {
name = "long";
res = PyNumber_Long(x);
}
#else
if (m && m->nb_int) {
name = "int";
res = PyNumber_Long(x);
}
#endif
if (res) {
#if PY_MAJOR_VERSION < 3
if (!PyInt_Check(res) && !PyLong_Check(res)) {
#else
if (!PyLong_Check(res)) {
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
name, name, Py_TYPE(res)->tp_name);
Py_DECREF(res);
return NULL;
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
return PyInt_AS_LONG(b);
else
return PyInt_AsSsize_t(x);
}
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)b)->ob_digit;
const Py_ssize_t size = Py_SIZE(b);
if (likely(__Pyx_sst_abs(size) <= 1)) {
ival = likely(size) ? digits[0] : 0;
if (size == -1) ival = -ival;
return ival;
} else {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
}
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
gimple-pretty-print.c | /* Pretty formatting of GIMPLE statements and expressions.
Copyright (C) 2001-2018 Free Software Foundation, Inc.
Contributed by Aldy Hernandez <aldyh@redhat.com> and
Diego Novillo <dnovillo@google.com>
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 "dumpfile.h"
#include "backend.h"
#include "tree.h"
#include "gimple.h"
#include "gimple-predict.h"
#include "ssa.h"
#include "cgraph.h"
#include "gimple-pretty-print.h"
#include "internal-fn.h"
#include "tree-eh.h"
#include "gimple-iterator.h"
#include "tree-cfg.h"
#include "dumpfile.h" /* for dump_flags */
#include "value-prof.h"
#include "trans-mem.h"
#include "cfganal.h"
#include "stringpool.h"
#include "attribs.h"
#include "asan.h"
#define INDENT(SPACE) \
do { int i; for (i = 0; i < SPACE; i++) pp_space (buffer); } while (0)
#define GIMPLE_NIY do_niy (buffer,gs)
/* Try to print on BUFFER a default message for the unrecognized
gimple statement GS. */
static void
do_niy (pretty_printer *buffer, gimple *gs)
{
pp_printf (buffer, "<<< Unknown GIMPLE statement: %s >>>\n",
gimple_code_name[(int) gimple_code (gs)]);
}
/* Emit a newline and SPC indentation spaces to BUFFER. */
static void
newline_and_indent (pretty_printer *buffer, int spc)
{
pp_newline (buffer);
INDENT (spc);
}
/* Print the GIMPLE statement GS on stderr. */
DEBUG_FUNCTION void
debug_gimple_stmt (gimple *gs)
{
print_gimple_stmt (stderr, gs, 0, TDF_VOPS|TDF_MEMSYMS);
}
/* Return formatted string of a VALUE probability
(biased by REG_BR_PROB_BASE). Returned string is allocated
by xstrdup_for_dump. */
static const char *
dump_profile (profile_count &count)
{
char *buf = NULL;
if (!count.initialized_p ())
return "";
if (count.ipa_p ())
buf = xasprintf ("[count: %" PRId64 "]",
count.to_gcov_type ());
else if (count.initialized_p ())
buf = xasprintf ("[local count: %" PRId64 "]",
count.to_gcov_type ());
const char *ret = xstrdup_for_dump (buf);
free (buf);
return ret;
}
/* Return formatted string of a VALUE probability
(biased by REG_BR_PROB_BASE). Returned string is allocated
by xstrdup_for_dump. */
static const char *
dump_probability (profile_probability probability)
{
float minimum = 0.01f;
float fvalue = -1;
if (probability.initialized_p ())
{
fvalue = probability.to_reg_br_prob_base () * 100.0f / REG_BR_PROB_BASE;
if (fvalue < minimum && probability.to_reg_br_prob_base ())
fvalue = minimum;
}
char *buf;
if (probability.initialized_p ())
buf = xasprintf ("[%.2f%%]", fvalue);
else
buf = xasprintf ("[INV]");
const char *ret = xstrdup_for_dump (buf);
free (buf);
return ret;
}
/* Dump E probability to BUFFER. */
static void
dump_edge_probability (pretty_printer *buffer, edge e)
{
pp_scalar (buffer, " %s", dump_probability (e->probability));
}
/* Print GIMPLE statement G to FILE using SPC indentation spaces and
FLAGS as in pp_gimple_stmt_1. */
void
print_gimple_stmt (FILE *file, gimple *g, int spc, dump_flags_t flags)
{
pretty_printer buffer;
pp_needs_newline (&buffer) = true;
buffer.buffer->stream = file;
pp_gimple_stmt_1 (&buffer, g, spc, flags);
pp_newline_and_flush (&buffer);
}
DEBUG_FUNCTION void
debug (gimple &ref)
{
print_gimple_stmt (stderr, &ref, 0, 0);
}
DEBUG_FUNCTION void
debug (gimple *ptr)
{
if (ptr)
debug (*ptr);
else
fprintf (stderr, "<nil>\n");
}
/* Print GIMPLE statement G to FILE using SPC indentation spaces and
FLAGS as in pp_gimple_stmt_1. Print only the right-hand side
of the statement. */
void
print_gimple_expr (FILE *file, gimple *g, int spc, dump_flags_t flags)
{
flags |= TDF_RHS_ONLY;
pretty_printer buffer;
pp_needs_newline (&buffer) = true;
buffer.buffer->stream = file;
pp_gimple_stmt_1 (&buffer, g, spc, flags);
pp_flush (&buffer);
}
/* Print the GIMPLE sequence SEQ on BUFFER using SPC indentation
spaces and FLAGS as in pp_gimple_stmt_1.
The caller is responsible for calling pp_flush on BUFFER to finalize
the pretty printer. */
static void
dump_gimple_seq (pretty_printer *buffer, gimple_seq seq, int spc,
dump_flags_t flags)
{
gimple_stmt_iterator i;
for (i = gsi_start (seq); !gsi_end_p (i); gsi_next (&i))
{
gimple *gs = gsi_stmt (i);
INDENT (spc);
pp_gimple_stmt_1 (buffer, gs, spc, flags);
if (!gsi_one_before_end_p (i))
pp_newline (buffer);
}
}
/* Print GIMPLE sequence SEQ to FILE using SPC indentation spaces and
FLAGS as in pp_gimple_stmt_1. */
void
print_gimple_seq (FILE *file, gimple_seq seq, int spc, dump_flags_t flags)
{
pretty_printer buffer;
pp_needs_newline (&buffer) = true;
buffer.buffer->stream = file;
dump_gimple_seq (&buffer, seq, spc, flags);
pp_newline_and_flush (&buffer);
}
/* Print the GIMPLE sequence SEQ on stderr. */
DEBUG_FUNCTION void
debug_gimple_seq (gimple_seq seq)
{
print_gimple_seq (stderr, seq, 0, TDF_VOPS|TDF_MEMSYMS);
}
/* A simple helper to pretty-print some of the gimple tuples in the printf
style. The format modifiers are preceded by '%' and are:
'G' - outputs a string corresponding to the code of the given gimple,
'S' - outputs a gimple_seq with indent of spc + 2,
'T' - outputs the tree t,
'd' - outputs an int as a decimal,
's' - outputs a string,
'n' - outputs a newline,
'x' - outputs an int as hexadecimal,
'+' - increases indent by 2 then outputs a newline,
'-' - decreases indent by 2 then outputs a newline. */
static void
dump_gimple_fmt (pretty_printer *buffer, int spc, dump_flags_t flags,
const char *fmt, ...)
{
va_list args;
const char *c;
const char *tmp;
va_start (args, fmt);
for (c = fmt; *c; c++)
{
if (*c == '%')
{
gimple_seq seq;
tree t;
gimple *g;
switch (*++c)
{
case 'G':
g = va_arg (args, gimple *);
tmp = gimple_code_name[gimple_code (g)];
pp_string (buffer, tmp);
break;
case 'S':
seq = va_arg (args, gimple_seq);
pp_newline (buffer);
dump_gimple_seq (buffer, seq, spc + 2, flags);
newline_and_indent (buffer, spc);
break;
case 'T':
t = va_arg (args, tree);
if (t == NULL_TREE)
pp_string (buffer, "NULL");
else
dump_generic_node (buffer, t, spc, flags, false);
break;
case 'd':
pp_decimal_int (buffer, va_arg (args, int));
break;
case 's':
pp_string (buffer, va_arg (args, char *));
break;
case 'n':
newline_and_indent (buffer, spc);
break;
case 'x':
pp_scalar (buffer, "%x", va_arg (args, int));
break;
case '+':
spc += 2;
newline_and_indent (buffer, spc);
break;
case '-':
spc -= 2;
newline_and_indent (buffer, spc);
break;
default:
gcc_unreachable ();
}
}
else
pp_character (buffer, *c);
}
va_end (args);
}
/* Helper for dump_gimple_assign. Print the unary RHS of the
assignment GS. BUFFER, SPC and FLAGS are as in pp_gimple_stmt_1. */
static void
dump_unary_rhs (pretty_printer *buffer, gassign *gs, int spc,
dump_flags_t flags)
{
enum tree_code rhs_code = gimple_assign_rhs_code (gs);
tree lhs = gimple_assign_lhs (gs);
tree rhs = gimple_assign_rhs1 (gs);
switch (rhs_code)
{
case VIEW_CONVERT_EXPR:
case ASSERT_EXPR:
dump_generic_node (buffer, rhs, spc, flags, false);
break;
case FIXED_CONVERT_EXPR:
case ADDR_SPACE_CONVERT_EXPR:
case FIX_TRUNC_EXPR:
case FLOAT_EXPR:
CASE_CONVERT:
pp_left_paren (buffer);
dump_generic_node (buffer, TREE_TYPE (lhs), spc, flags, false);
pp_string (buffer, ") ");
if (op_prio (rhs) < op_code_prio (rhs_code))
{
pp_left_paren (buffer);
dump_generic_node (buffer, rhs, spc, flags, false);
pp_right_paren (buffer);
}
else
dump_generic_node (buffer, rhs, spc, flags, false);
break;
case PAREN_EXPR:
pp_string (buffer, "((");
dump_generic_node (buffer, rhs, spc, flags, false);
pp_string (buffer, "))");
break;
case ABS_EXPR:
if (flags & TDF_GIMPLE)
{
pp_string (buffer, "__ABS ");
dump_generic_node (buffer, rhs, spc, flags, false);
}
else
{
pp_string (buffer, "ABS_EXPR <");
dump_generic_node (buffer, rhs, spc, flags, false);
pp_greater (buffer);
}
break;
default:
if (TREE_CODE_CLASS (rhs_code) == tcc_declaration
|| TREE_CODE_CLASS (rhs_code) == tcc_constant
|| TREE_CODE_CLASS (rhs_code) == tcc_reference
|| rhs_code == SSA_NAME
|| rhs_code == ADDR_EXPR
|| rhs_code == CONSTRUCTOR)
{
dump_generic_node (buffer, rhs, spc, flags, false);
break;
}
else if (rhs_code == BIT_NOT_EXPR)
pp_complement (buffer);
else if (rhs_code == TRUTH_NOT_EXPR)
pp_exclamation (buffer);
else if (rhs_code == NEGATE_EXPR)
pp_minus (buffer);
else
{
pp_left_bracket (buffer);
pp_string (buffer, get_tree_code_name (rhs_code));
pp_string (buffer, "] ");
}
if (op_prio (rhs) < op_code_prio (rhs_code))
{
pp_left_paren (buffer);
dump_generic_node (buffer, rhs, spc, flags, false);
pp_right_paren (buffer);
}
else
dump_generic_node (buffer, rhs, spc, flags, false);
break;
}
}
/* Helper for dump_gimple_assign. Print the binary RHS of the
assignment GS. BUFFER, SPC and FLAGS are as in pp_gimple_stmt_1. */
static void
dump_binary_rhs (pretty_printer *buffer, gassign *gs, int spc,
dump_flags_t flags)
{
const char *p;
enum tree_code code = gimple_assign_rhs_code (gs);
switch (code)
{
case COMPLEX_EXPR:
case MIN_EXPR:
case MAX_EXPR:
case VEC_WIDEN_MULT_HI_EXPR:
case VEC_WIDEN_MULT_LO_EXPR:
case VEC_WIDEN_MULT_EVEN_EXPR:
case VEC_WIDEN_MULT_ODD_EXPR:
case VEC_PACK_TRUNC_EXPR:
case VEC_PACK_SAT_EXPR:
case VEC_PACK_FIX_TRUNC_EXPR:
case VEC_WIDEN_LSHIFT_HI_EXPR:
case VEC_WIDEN_LSHIFT_LO_EXPR:
case VEC_SERIES_EXPR:
for (p = get_tree_code_name (code); *p; p++)
pp_character (buffer, TOUPPER (*p));
pp_string (buffer, " <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_greater (buffer);
break;
default:
if (op_prio (gimple_assign_rhs1 (gs)) <= op_code_prio (code))
{
pp_left_paren (buffer);
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags,
false);
pp_right_paren (buffer);
}
else
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_space (buffer);
pp_string (buffer, op_symbol_code (gimple_assign_rhs_code (gs)));
pp_space (buffer);
if (op_prio (gimple_assign_rhs2 (gs)) <= op_code_prio (code))
{
pp_left_paren (buffer);
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags,
false);
pp_right_paren (buffer);
}
else
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
}
}
/* Helper for dump_gimple_assign. Print the ternary RHS of the
assignment GS. BUFFER, SPC and FLAGS are as in pp_gimple_stmt_1. */
static void
dump_ternary_rhs (pretty_printer *buffer, gassign *gs, int spc,
dump_flags_t flags)
{
const char *p;
enum tree_code code = gimple_assign_rhs_code (gs);
switch (code)
{
case WIDEN_MULT_PLUS_EXPR:
case WIDEN_MULT_MINUS_EXPR:
for (p = get_tree_code_name (code); *p; p++)
pp_character (buffer, TOUPPER (*p));
pp_string (buffer, " <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_greater (buffer);
break;
case FMA_EXPR:
if (flags & TDF_GIMPLE)
{
pp_string (buffer, "__FMA (");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_comma (buffer);
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_comma (buffer);
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_right_paren (buffer);
}
else
{
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, " * ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, " + ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
}
break;
case DOT_PROD_EXPR:
pp_string (buffer, "DOT_PROD_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_greater (buffer);
break;
case SAD_EXPR:
pp_string (buffer, "SAD_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_greater (buffer);
break;
case VEC_PERM_EXPR:
pp_string (buffer, "VEC_PERM_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_greater (buffer);
break;
case REALIGN_LOAD_EXPR:
pp_string (buffer, "REALIGN_LOAD <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_greater (buffer);
break;
case COND_EXPR:
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, " ? ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, " : ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
break;
case VEC_COND_EXPR:
pp_string (buffer, "VEC_COND_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_greater (buffer);
break;
case BIT_INSERT_EXPR:
pp_string (buffer, "BIT_INSERT_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_string (buffer, " (");
if (INTEGRAL_TYPE_P (TREE_TYPE (gimple_assign_rhs2 (gs))))
pp_decimal_int (buffer,
TYPE_PRECISION (TREE_TYPE (gimple_assign_rhs2 (gs))));
else
dump_generic_node (buffer,
TYPE_SIZE (TREE_TYPE (gimple_assign_rhs2 (gs))),
spc, flags, false);
pp_string (buffer, " bits)>");
break;
default:
gcc_unreachable ();
}
}
/* Dump the gimple assignment GS. BUFFER, SPC and FLAGS are as in
pp_gimple_stmt_1. */
static void
dump_gimple_assign (pretty_printer *buffer, gassign *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
{
tree arg1 = NULL;
tree arg2 = NULL;
tree arg3 = NULL;
switch (gimple_num_ops (gs))
{
case 4:
arg3 = gimple_assign_rhs3 (gs);
/* FALLTHRU */
case 3:
arg2 = gimple_assign_rhs2 (gs);
/* FALLTHRU */
case 2:
arg1 = gimple_assign_rhs1 (gs);
break;
default:
gcc_unreachable ();
}
dump_gimple_fmt (buffer, spc, flags, "%G <%s, %T, %T, %T, %T>", gs,
get_tree_code_name (gimple_assign_rhs_code (gs)),
gimple_assign_lhs (gs), arg1, arg2, arg3);
}
else
{
if (!(flags & TDF_RHS_ONLY))
{
dump_generic_node (buffer, gimple_assign_lhs (gs), spc, flags, false);
pp_space (buffer);
pp_equal (buffer);
if (gimple_assign_nontemporal_move_p (gs))
pp_string (buffer, "{nt}");
if (gimple_has_volatile_ops (gs))
pp_string (buffer, "{v}");
pp_space (buffer);
}
if (gimple_num_ops (gs) == 2)
dump_unary_rhs (buffer, gs, spc, flags);
else if (gimple_num_ops (gs) == 3)
dump_binary_rhs (buffer, gs, spc, flags);
else if (gimple_num_ops (gs) == 4)
dump_ternary_rhs (buffer, gs, spc, flags);
else
gcc_unreachable ();
if (!(flags & TDF_RHS_ONLY))
pp_semicolon (buffer);
}
}
/* Dump the return statement GS. BUFFER, SPC and FLAGS are as in
pp_gimple_stmt_1. */
static void
dump_gimple_return (pretty_printer *buffer, greturn *gs, int spc,
dump_flags_t flags)
{
tree t, t2;
t = gimple_return_retval (gs);
t2 = gimple_return_retbnd (gs);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T %T>", gs, t, t2);
else
{
pp_string (buffer, "return");
if (t)
{
pp_space (buffer);
dump_generic_node (buffer, t, spc, flags, false);
}
if (t2)
{
pp_string (buffer, ", ");
dump_generic_node (buffer, t2, spc, flags, false);
}
pp_semicolon (buffer);
}
}
/* Dump the call arguments for a gimple call. BUFFER, FLAGS are as in
dump_gimple_call. */
static void
dump_gimple_call_args (pretty_printer *buffer, gcall *gs, dump_flags_t flags)
{
size_t i = 0;
/* Pretty print first arg to certain internal fns. */
if (gimple_call_internal_p (gs))
{
const char *const *enums = NULL;
unsigned limit = 0;
switch (gimple_call_internal_fn (gs))
{
case IFN_UNIQUE:
#define DEF(X) #X
static const char *const unique_args[] = {IFN_UNIQUE_CODES};
#undef DEF
enums = unique_args;
limit = ARRAY_SIZE (unique_args);
break;
case IFN_GOACC_LOOP:
#define DEF(X) #X
static const char *const loop_args[] = {IFN_GOACC_LOOP_CODES};
#undef DEF
enums = loop_args;
limit = ARRAY_SIZE (loop_args);
break;
case IFN_GOACC_REDUCTION:
#define DEF(X) #X
static const char *const reduction_args[]
= {IFN_GOACC_REDUCTION_CODES};
#undef DEF
enums = reduction_args;
limit = ARRAY_SIZE (reduction_args);
break;
case IFN_ASAN_MARK:
#define DEF(X) #X
static const char *const asan_mark_args[] = {IFN_ASAN_MARK_FLAGS};
#undef DEF
enums = asan_mark_args;
limit = ARRAY_SIZE (asan_mark_args);
break;
default:
break;
}
if (limit)
{
tree arg0 = gimple_call_arg (gs, 0);
HOST_WIDE_INT v;
if (TREE_CODE (arg0) == INTEGER_CST
&& tree_fits_shwi_p (arg0)
&& (v = tree_to_shwi (arg0)) >= 0 && v < limit)
{
i++;
pp_string (buffer, enums[v]);
}
}
}
for (; i < gimple_call_num_args (gs); i++)
{
if (i)
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_call_arg (gs, i), 0, flags, false);
}
if (gimple_call_va_arg_pack_p (gs))
{
if (i)
pp_string (buffer, ", ");
pp_string (buffer, "__builtin_va_arg_pack ()");
}
}
/* Dump the points-to solution *PT to BUFFER. */
static void
pp_points_to_solution (pretty_printer *buffer, struct pt_solution *pt)
{
if (pt->anything)
{
pp_string (buffer, "anything ");
return;
}
if (pt->nonlocal)
pp_string (buffer, "nonlocal ");
if (pt->escaped)
pp_string (buffer, "escaped ");
if (pt->ipa_escaped)
pp_string (buffer, "unit-escaped ");
if (pt->null)
pp_string (buffer, "null ");
if (pt->vars
&& !bitmap_empty_p (pt->vars))
{
bitmap_iterator bi;
unsigned i;
pp_string (buffer, "{ ");
EXECUTE_IF_SET_IN_BITMAP (pt->vars, 0, i, bi)
{
pp_string (buffer, "D.");
pp_decimal_int (buffer, i);
pp_space (buffer);
}
pp_right_brace (buffer);
if (pt->vars_contains_nonlocal
|| pt->vars_contains_escaped
|| pt->vars_contains_escaped_heap
|| pt->vars_contains_restrict)
{
const char *comma = "";
pp_string (buffer, " (");
if (pt->vars_contains_nonlocal)
{
pp_string (buffer, "nonlocal");
comma = ", ";
}
if (pt->vars_contains_escaped)
{
pp_string (buffer, comma);
pp_string (buffer, "escaped");
comma = ", ";
}
if (pt->vars_contains_escaped_heap)
{
pp_string (buffer, comma);
pp_string (buffer, "escaped heap");
comma = ", ";
}
if (pt->vars_contains_restrict)
{
pp_string (buffer, comma);
pp_string (buffer, "restrict");
comma = ", ";
}
if (pt->vars_contains_interposable)
{
pp_string (buffer, comma);
pp_string (buffer, "interposable");
}
pp_string (buffer, ")");
}
}
}
/* Dump the call statement GS. BUFFER, SPC and FLAGS are as in
pp_gimple_stmt_1. */
static void
dump_gimple_call (pretty_printer *buffer, gcall *gs, int spc,
dump_flags_t flags)
{
tree lhs = gimple_call_lhs (gs);
tree fn = gimple_call_fn (gs);
if (flags & TDF_ALIAS)
{
struct pt_solution *pt;
pt = gimple_call_use_set (gs);
if (!pt_solution_empty_p (pt))
{
pp_string (buffer, "# USE = ");
pp_points_to_solution (buffer, pt);
newline_and_indent (buffer, spc);
}
pt = gimple_call_clobber_set (gs);
if (!pt_solution_empty_p (pt))
{
pp_string (buffer, "# CLB = ");
pp_points_to_solution (buffer, pt);
newline_and_indent (buffer, spc);
}
}
if (flags & TDF_RAW)
{
if (gimple_call_internal_p (gs))
dump_gimple_fmt (buffer, spc, flags, "%G <%s, %T", gs,
internal_fn_name (gimple_call_internal_fn (gs)), lhs);
else
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %T", gs, fn, lhs);
if (gimple_call_num_args (gs) > 0)
{
pp_string (buffer, ", ");
dump_gimple_call_args (buffer, gs, flags);
}
pp_greater (buffer);
}
else
{
if (lhs && !(flags & TDF_RHS_ONLY))
{
dump_generic_node (buffer, lhs, spc, flags, false);
pp_string (buffer, " =");
if (gimple_has_volatile_ops (gs))
pp_string (buffer, "{v}");
pp_space (buffer);
}
if (gimple_call_internal_p (gs))
pp_string (buffer, internal_fn_name (gimple_call_internal_fn (gs)));
else
print_call_name (buffer, fn, flags);
pp_string (buffer, " (");
dump_gimple_call_args (buffer, gs, flags);
pp_right_paren (buffer);
if (!(flags & TDF_RHS_ONLY))
pp_semicolon (buffer);
}
if (gimple_call_chain (gs))
{
pp_string (buffer, " [static-chain: ");
dump_generic_node (buffer, gimple_call_chain (gs), spc, flags, false);
pp_right_bracket (buffer);
}
if (gimple_call_return_slot_opt_p (gs))
pp_string (buffer, " [return slot optimization]");
if (gimple_call_tail_p (gs))
pp_string (buffer, " [tail call]");
if (gimple_call_must_tail_p (gs))
pp_string (buffer, " [must tail call]");
if (fn == NULL)
return;
/* Dump the arguments of _ITM_beginTransaction sanely. */
if (TREE_CODE (fn) == ADDR_EXPR)
fn = TREE_OPERAND (fn, 0);
if (TREE_CODE (fn) == FUNCTION_DECL && decl_is_tm_clone (fn))
pp_string (buffer, " [tm-clone]");
if (TREE_CODE (fn) == FUNCTION_DECL
&& DECL_BUILT_IN_CLASS (fn) == BUILT_IN_NORMAL
&& DECL_FUNCTION_CODE (fn) == BUILT_IN_TM_START
&& gimple_call_num_args (gs) > 0)
{
tree t = gimple_call_arg (gs, 0);
unsigned HOST_WIDE_INT props;
gcc_assert (TREE_CODE (t) == INTEGER_CST);
pp_string (buffer, " [ ");
/* Get the transaction code properties. */
props = TREE_INT_CST_LOW (t);
if (props & PR_INSTRUMENTEDCODE)
pp_string (buffer, "instrumentedCode ");
if (props & PR_UNINSTRUMENTEDCODE)
pp_string (buffer, "uninstrumentedCode ");
if (props & PR_HASNOXMMUPDATE)
pp_string (buffer, "hasNoXMMUpdate ");
if (props & PR_HASNOABORT)
pp_string (buffer, "hasNoAbort ");
if (props & PR_HASNOIRREVOCABLE)
pp_string (buffer, "hasNoIrrevocable ");
if (props & PR_DOESGOIRREVOCABLE)
pp_string (buffer, "doesGoIrrevocable ");
if (props & PR_HASNOSIMPLEREADS)
pp_string (buffer, "hasNoSimpleReads ");
if (props & PR_AWBARRIERSOMITTED)
pp_string (buffer, "awBarriersOmitted ");
if (props & PR_RARBARRIERSOMITTED)
pp_string (buffer, "RaRBarriersOmitted ");
if (props & PR_UNDOLOGCODE)
pp_string (buffer, "undoLogCode ");
if (props & PR_PREFERUNINSTRUMENTED)
pp_string (buffer, "preferUninstrumented ");
if (props & PR_EXCEPTIONBLOCK)
pp_string (buffer, "exceptionBlock ");
if (props & PR_HASELSE)
pp_string (buffer, "hasElse ");
if (props & PR_READONLY)
pp_string (buffer, "readOnly ");
pp_right_bracket (buffer);
}
}
/* Dump the switch statement GS. BUFFER, SPC and FLAGS are as in
pp_gimple_stmt_1. */
static void
dump_gimple_switch (pretty_printer *buffer, gswitch *gs, int spc,
dump_flags_t flags)
{
unsigned int i;
GIMPLE_CHECK (gs, GIMPLE_SWITCH);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, ", gs,
gimple_switch_index (gs));
else
{
pp_string (buffer, "switch (");
dump_generic_node (buffer, gimple_switch_index (gs), spc, flags, true);
if (flags & TDF_GIMPLE)
pp_string (buffer, ") {");
else
pp_string (buffer, ") <");
}
for (i = 0; i < gimple_switch_num_labels (gs); i++)
{
tree case_label = gimple_switch_label (gs, i);
gcc_checking_assert (case_label != NULL_TREE);
dump_generic_node (buffer, case_label, spc, flags, false);
pp_space (buffer);
tree label = CASE_LABEL (case_label);
dump_generic_node (buffer, label, spc, flags, false);
if (cfun && cfun->cfg)
{
basic_block dest = label_to_block (label);
if (dest)
{
edge label_edge = find_edge (gimple_bb (gs), dest);
if (label_edge && !(flags & TDF_GIMPLE))
dump_edge_probability (buffer, label_edge);
}
}
if (i < gimple_switch_num_labels (gs) - 1)
{
if (flags & TDF_GIMPLE)
pp_string (buffer, "; ");
else
pp_string (buffer, ", ");
}
}
if (flags & TDF_GIMPLE)
pp_string (buffer, "; }");
else
pp_greater (buffer);
}
/* Dump the gimple conditional GS. BUFFER, SPC and FLAGS are as in
pp_gimple_stmt_1. */
static void
dump_gimple_cond (pretty_printer *buffer, gcond *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%s, %T, %T, %T, %T>", gs,
get_tree_code_name (gimple_cond_code (gs)),
gimple_cond_lhs (gs), gimple_cond_rhs (gs),
gimple_cond_true_label (gs), gimple_cond_false_label (gs));
else
{
if (!(flags & TDF_RHS_ONLY))
pp_string (buffer, "if (");
dump_generic_node (buffer, gimple_cond_lhs (gs), spc, flags, false);
pp_space (buffer);
pp_string (buffer, op_symbol_code (gimple_cond_code (gs)));
pp_space (buffer);
dump_generic_node (buffer, gimple_cond_rhs (gs), spc, flags, false);
if (!(flags & TDF_RHS_ONLY))
{
edge_iterator ei;
edge e, true_edge = NULL, false_edge = NULL;
basic_block bb = gimple_bb (gs);
if (bb)
{
FOR_EACH_EDGE (e, ei, bb->succs)
{
if (e->flags & EDGE_TRUE_VALUE)
true_edge = e;
else if (e->flags & EDGE_FALSE_VALUE)
false_edge = e;
}
}
bool has_edge_info = true_edge != NULL && false_edge != NULL;
pp_right_paren (buffer);
if (gimple_cond_true_label (gs))
{
pp_string (buffer, " goto ");
dump_generic_node (buffer, gimple_cond_true_label (gs),
spc, flags, false);
if (has_edge_info && !(flags & TDF_GIMPLE))
dump_edge_probability (buffer, true_edge);
pp_semicolon (buffer);
}
if (gimple_cond_false_label (gs))
{
pp_string (buffer, " else goto ");
dump_generic_node (buffer, gimple_cond_false_label (gs),
spc, flags, false);
if (has_edge_info && !(flags & TDF_GIMPLE))
dump_edge_probability (buffer, false_edge);
pp_semicolon (buffer);
}
}
}
}
/* Dump a GIMPLE_LABEL tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in dumpfils.h). */
static void
dump_gimple_label (pretty_printer *buffer, glabel *gs, int spc,
dump_flags_t flags)
{
tree label = gimple_label_label (gs);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs, label);
else
{
dump_generic_node (buffer, label, spc, flags, false);
pp_colon (buffer);
}
if (flags & TDF_GIMPLE)
return;
if (DECL_NONLOCAL (label))
pp_string (buffer, " [non-local]");
if ((flags & TDF_EH) && EH_LANDING_PAD_NR (label))
pp_printf (buffer, " [LP %d]", EH_LANDING_PAD_NR (label));
}
/* Dump a GIMPLE_GOTO tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in dumpfile.h). */
static void
dump_gimple_goto (pretty_printer *buffer, ggoto *gs, int spc,
dump_flags_t flags)
{
tree label = gimple_goto_dest (gs);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs, label);
else
dump_gimple_fmt (buffer, spc, flags, "goto %T;", label);
}
/* Dump a GIMPLE_BIND tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in dumpfile.h). */
static void
dump_gimple_bind (pretty_printer *buffer, gbind *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <", gs);
else
pp_left_brace (buffer);
if (!(flags & TDF_SLIM))
{
tree var;
for (var = gimple_bind_vars (gs); var; var = DECL_CHAIN (var))
{
newline_and_indent (buffer, 2);
print_declaration (buffer, var, spc, flags);
}
if (gimple_bind_vars (gs))
pp_newline (buffer);
}
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_bind_body (gs), spc + 2, flags);
newline_and_indent (buffer, spc);
if (flags & TDF_RAW)
pp_greater (buffer);
else
pp_right_brace (buffer);
}
/* Dump a GIMPLE_TRY tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_try (pretty_printer *buffer, gtry *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
{
const char *type;
if (gimple_try_kind (gs) == GIMPLE_TRY_CATCH)
type = "GIMPLE_TRY_CATCH";
else if (gimple_try_kind (gs) == GIMPLE_TRY_FINALLY)
type = "GIMPLE_TRY_FINALLY";
else
type = "UNKNOWN GIMPLE_TRY";
dump_gimple_fmt (buffer, spc, flags,
"%G <%s,%+EVAL <%S>%nCLEANUP <%S>%->", gs, type,
gimple_try_eval (gs), gimple_try_cleanup (gs));
}
else
{
pp_string (buffer, "try");
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_try_eval (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
if (gimple_try_kind (gs) == GIMPLE_TRY_CATCH)
{
newline_and_indent (buffer, spc);
pp_string (buffer, "catch");
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
}
else if (gimple_try_kind (gs) == GIMPLE_TRY_FINALLY)
{
newline_and_indent (buffer, spc);
pp_string (buffer, "finally");
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
}
else
pp_string (buffer, " <UNKNOWN GIMPLE_TRY> {");
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_try_cleanup (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
}
/* Dump a GIMPLE_CATCH tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_catch (pretty_printer *buffer, gcatch *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %+CATCH <%S>%->", gs,
gimple_catch_types (gs), gimple_catch_handler (gs));
else
dump_gimple_fmt (buffer, spc, flags, "catch (%T)%+{%S}",
gimple_catch_types (gs), gimple_catch_handler (gs));
}
/* Dump a GIMPLE_EH_FILTER tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_eh_filter (pretty_printer *buffer, geh_filter *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %+FAILURE <%S>%->", gs,
gimple_eh_filter_types (gs),
gimple_eh_filter_failure (gs));
else
dump_gimple_fmt (buffer, spc, flags, "<<<eh_filter (%T)>>>%+{%+%S%-}",
gimple_eh_filter_types (gs),
gimple_eh_filter_failure (gs));
}
/* Dump a GIMPLE_EH_MUST_NOT_THROW tuple. */
static void
dump_gimple_eh_must_not_throw (pretty_printer *buffer,
geh_mnt *gs, int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs,
gimple_eh_must_not_throw_fndecl (gs));
else
dump_gimple_fmt (buffer, spc, flags, "<<<eh_must_not_throw (%T)>>>",
gimple_eh_must_not_throw_fndecl (gs));
}
/* Dump a GIMPLE_EH_ELSE tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_eh_else (pretty_printer *buffer, geh_else *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags,
"%G <%+N_BODY <%S>%nE_BODY <%S>%->", gs,
gimple_eh_else_n_body (gs), gimple_eh_else_e_body (gs));
else
dump_gimple_fmt (buffer, spc, flags,
"<<<if_normal_exit>>>%+{%S}%-<<<else_eh_exit>>>%+{%S}",
gimple_eh_else_n_body (gs), gimple_eh_else_e_body (gs));
}
/* Dump a GIMPLE_RESX tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_resx (pretty_printer *buffer, gresx *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%d>", gs,
gimple_resx_region (gs));
else
dump_gimple_fmt (buffer, spc, flags, "resx %d", gimple_resx_region (gs));
}
/* Dump a GIMPLE_EH_DISPATCH tuple on the pretty_printer BUFFER. */
static void
dump_gimple_eh_dispatch (pretty_printer *buffer, geh_dispatch *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%d>", gs,
gimple_eh_dispatch_region (gs));
else
dump_gimple_fmt (buffer, spc, flags, "eh_dispatch %d",
gimple_eh_dispatch_region (gs));
}
/* Dump a GIMPLE_DEBUG tuple on the pretty_printer BUFFER, SPC spaces
of indent. FLAGS specifies details to show in the dump (see TDF_*
in dumpfile.h). */
static void
dump_gimple_debug (pretty_printer *buffer, gdebug *gs, int spc,
dump_flags_t flags)
{
switch (gs->subcode)
{
case GIMPLE_DEBUG_BIND:
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G BIND <%T, %T>", gs,
gimple_debug_bind_get_var (gs),
gimple_debug_bind_get_value (gs));
else
dump_gimple_fmt (buffer, spc, flags, "# DEBUG %T => %T",
gimple_debug_bind_get_var (gs),
gimple_debug_bind_get_value (gs));
break;
case GIMPLE_DEBUG_SOURCE_BIND:
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G SRCBIND <%T, %T>", gs,
gimple_debug_source_bind_get_var (gs),
gimple_debug_source_bind_get_value (gs));
else
dump_gimple_fmt (buffer, spc, flags, "# DEBUG %T s=> %T",
gimple_debug_source_bind_get_var (gs),
gimple_debug_source_bind_get_value (gs));
break;
case GIMPLE_DEBUG_BEGIN_STMT:
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G BEGIN_STMT", gs);
else
dump_gimple_fmt (buffer, spc, flags, "# DEBUG BEGIN_STMT");
break;
case GIMPLE_DEBUG_INLINE_ENTRY:
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G INLINE_ENTRY %T", gs,
gimple_block (gs)
? block_ultimate_origin (gimple_block (gs))
: NULL_TREE);
else
dump_gimple_fmt (buffer, spc, flags, "# DEBUG INLINE_ENTRY %T",
gimple_block (gs)
? block_ultimate_origin (gimple_block (gs))
: NULL_TREE);
break;
default:
gcc_unreachable ();
}
}
/* Dump a GIMPLE_OMP_FOR tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_for (pretty_printer *buffer, gomp_for *gs, int spc,
dump_flags_t flags)
{
size_t i;
if (flags & TDF_RAW)
{
const char *kind;
switch (gimple_omp_for_kind (gs))
{
case GF_OMP_FOR_KIND_FOR:
kind = "";
break;
case GF_OMP_FOR_KIND_DISTRIBUTE:
kind = " distribute";
break;
case GF_OMP_FOR_KIND_TASKLOOP:
kind = " taskloop";
break;
case GF_OMP_FOR_KIND_OACC_LOOP:
kind = " oacc_loop";
break;
case GF_OMP_FOR_KIND_SIMD:
kind = " simd";
break;
default:
gcc_unreachable ();
}
dump_gimple_fmt (buffer, spc, flags, "%G%s <%+BODY <%S>%nCLAUSES <", gs,
kind, gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_for_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >,");
for (i = 0; i < gimple_omp_for_collapse (gs); i++)
dump_gimple_fmt (buffer, spc, flags,
"%+%T, %T, %T, %s, %T,%n",
gimple_omp_for_index (gs, i),
gimple_omp_for_initial (gs, i),
gimple_omp_for_final (gs, i),
get_tree_code_name (gimple_omp_for_cond (gs, i)),
gimple_omp_for_incr (gs, i));
dump_gimple_fmt (buffer, spc, flags, "PRE_BODY <%S>%->",
gimple_omp_for_pre_body (gs));
}
else
{
switch (gimple_omp_for_kind (gs))
{
case GF_OMP_FOR_KIND_FOR:
pp_string (buffer, "#pragma omp for");
break;
case GF_OMP_FOR_KIND_DISTRIBUTE:
pp_string (buffer, "#pragma omp distribute");
break;
case GF_OMP_FOR_KIND_TASKLOOP:
pp_string (buffer, "#pragma omp taskloop");
break;
case GF_OMP_FOR_KIND_OACC_LOOP:
pp_string (buffer, "#pragma acc loop");
break;
case GF_OMP_FOR_KIND_SIMD:
pp_string (buffer, "#pragma omp simd");
break;
case GF_OMP_FOR_KIND_GRID_LOOP:
pp_string (buffer, "#pragma omp for grid_loop");
break;
default:
gcc_unreachable ();
}
dump_omp_clauses (buffer, gimple_omp_for_clauses (gs), spc, flags);
for (i = 0; i < gimple_omp_for_collapse (gs); i++)
{
if (i)
spc += 2;
newline_and_indent (buffer, spc);
pp_string (buffer, "for (");
dump_generic_node (buffer, gimple_omp_for_index (gs, i), spc,
flags, false);
pp_string (buffer, " = ");
dump_generic_node (buffer, gimple_omp_for_initial (gs, i), spc,
flags, false);
pp_string (buffer, "; ");
dump_generic_node (buffer, gimple_omp_for_index (gs, i), spc,
flags, false);
pp_space (buffer);
switch (gimple_omp_for_cond (gs, i))
{
case LT_EXPR:
pp_less (buffer);
break;
case GT_EXPR:
pp_greater (buffer);
break;
case LE_EXPR:
pp_less_equal (buffer);
break;
case GE_EXPR:
pp_greater_equal (buffer);
break;
case NE_EXPR:
pp_string (buffer, "!=");
break;
default:
gcc_unreachable ();
}
pp_space (buffer);
dump_generic_node (buffer, gimple_omp_for_final (gs, i), spc,
flags, false);
pp_string (buffer, "; ");
dump_generic_node (buffer, gimple_omp_for_index (gs, i), spc,
flags, false);
pp_string (buffer, " = ");
dump_generic_node (buffer, gimple_omp_for_incr (gs, i), spc,
flags, false);
pp_right_paren (buffer);
}
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
}
}
/* Dump a GIMPLE_OMP_CONTINUE tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_continue (pretty_printer *buffer, gomp_continue *gs,
int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %T>", gs,
gimple_omp_continue_control_def (gs),
gimple_omp_continue_control_use (gs));
}
else
{
pp_string (buffer, "#pragma omp continue (");
dump_generic_node (buffer, gimple_omp_continue_control_def (gs),
spc, flags, false);
pp_comma (buffer);
pp_space (buffer);
dump_generic_node (buffer, gimple_omp_continue_control_use (gs),
spc, flags, false);
pp_right_paren (buffer);
}
}
/* Dump a GIMPLE_OMP_SINGLE tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_single (pretty_printer *buffer, gomp_single *gs,
int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_single_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >");
}
else
{
pp_string (buffer, "#pragma omp single");
dump_omp_clauses (buffer, gimple_omp_single_clauses (gs), spc, flags);
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
}
}
/* Dump a GIMPLE_OMP_TARGET tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_target (pretty_printer *buffer, gomp_target *gs,
int spc, dump_flags_t flags)
{
const char *kind;
switch (gimple_omp_target_kind (gs))
{
case GF_OMP_TARGET_KIND_REGION:
kind = "";
break;
case GF_OMP_TARGET_KIND_DATA:
kind = " data";
break;
case GF_OMP_TARGET_KIND_UPDATE:
kind = " update";
break;
case GF_OMP_TARGET_KIND_ENTER_DATA:
kind = " enter data";
break;
case GF_OMP_TARGET_KIND_EXIT_DATA:
kind = " exit data";
break;
case GF_OMP_TARGET_KIND_OACC_KERNELS:
kind = " oacc_kernels";
break;
case GF_OMP_TARGET_KIND_OACC_PARALLEL:
kind = " oacc_parallel";
break;
case GF_OMP_TARGET_KIND_OACC_DATA:
kind = " oacc_data";
break;
case GF_OMP_TARGET_KIND_OACC_UPDATE:
kind = " oacc_update";
break;
case GF_OMP_TARGET_KIND_OACC_ENTER_EXIT_DATA:
kind = " oacc_enter_exit_data";
break;
case GF_OMP_TARGET_KIND_OACC_DECLARE:
kind = " oacc_declare";
break;
case GF_OMP_TARGET_KIND_OACC_HOST_DATA:
kind = " oacc_host_data";
break;
default:
gcc_unreachable ();
}
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G%s <%+BODY <%S>%nCLAUSES <", gs,
kind, gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_target_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >, %T, %T%n>",
gimple_omp_target_child_fn (gs),
gimple_omp_target_data_arg (gs));
}
else
{
pp_string (buffer, "#pragma omp target");
pp_string (buffer, kind);
dump_omp_clauses (buffer, gimple_omp_target_clauses (gs), spc, flags);
if (gimple_omp_target_child_fn (gs))
{
pp_string (buffer, " [child fn: ");
dump_generic_node (buffer, gimple_omp_target_child_fn (gs),
spc, flags, false);
pp_string (buffer, " (");
if (gimple_omp_target_data_arg (gs))
dump_generic_node (buffer, gimple_omp_target_data_arg (gs),
spc, flags, false);
else
pp_string (buffer, "???");
pp_string (buffer, ")]");
}
gimple_seq body = gimple_omp_body (gs);
if (body && gimple_code (gimple_seq_first_stmt (body)) != GIMPLE_BIND)
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
else if (body)
{
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 2, flags);
}
}
}
/* Dump a GIMPLE_OMP_TEAMS tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_teams (pretty_printer *buffer, gomp_teams *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_teams_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >");
}
else
{
pp_string (buffer, "#pragma omp teams");
dump_omp_clauses (buffer, gimple_omp_teams_clauses (gs), spc, flags);
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
}
/* Dump a GIMPLE_OMP_SECTIONS tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_sections (pretty_printer *buffer, gomp_sections *gs,
int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_sections_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >");
}
else
{
pp_string (buffer, "#pragma omp sections");
if (gimple_omp_sections_control (gs))
{
pp_string (buffer, " <");
dump_generic_node (buffer, gimple_omp_sections_control (gs), spc,
flags, false);
pp_greater (buffer);
}
dump_omp_clauses (buffer, gimple_omp_sections_clauses (gs), spc, flags);
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
}
}
/* Dump a GIMPLE_OMP_{MASTER,TASKGROUP,ORDERED,SECTION} tuple on the
pretty_printer BUFFER. */
static void
dump_gimple_omp_block (pretty_printer *buffer, gimple *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S> >", gs,
gimple_omp_body (gs));
else
{
switch (gimple_code (gs))
{
case GIMPLE_OMP_MASTER:
pp_string (buffer, "#pragma omp master");
break;
case GIMPLE_OMP_TASKGROUP:
pp_string (buffer, "#pragma omp taskgroup");
break;
case GIMPLE_OMP_SECTION:
pp_string (buffer, "#pragma omp section");
break;
case GIMPLE_OMP_GRID_BODY:
pp_string (buffer, "#pragma omp gridified body");
break;
default:
gcc_unreachable ();
}
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
}
}
/* Dump a GIMPLE_OMP_CRITICAL tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_critical (pretty_printer *buffer, gomp_critical *gs,
int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S> >", gs,
gimple_omp_body (gs));
else
{
pp_string (buffer, "#pragma omp critical");
if (gimple_omp_critical_name (gs))
{
pp_string (buffer, " (");
dump_generic_node (buffer, gimple_omp_critical_name (gs), spc,
flags, false);
pp_right_paren (buffer);
}
dump_omp_clauses (buffer, gimple_omp_critical_clauses (gs), spc, flags);
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
}
}
/* Dump a GIMPLE_OMP_ORDERED tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_ordered (pretty_printer *buffer, gomp_ordered *gs,
int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S> >", gs,
gimple_omp_body (gs));
else
{
pp_string (buffer, "#pragma omp ordered");
dump_omp_clauses (buffer, gimple_omp_ordered_clauses (gs), spc, flags);
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
}
}
/* Dump a GIMPLE_OMP_RETURN tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_return (pretty_printer *buffer, gimple *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <nowait=%d", gs,
(int) gimple_omp_return_nowait_p (gs));
if (gimple_omp_return_lhs (gs))
dump_gimple_fmt (buffer, spc, flags, ", lhs=%T>",
gimple_omp_return_lhs (gs));
else
dump_gimple_fmt (buffer, spc, flags, ">");
}
else
{
pp_string (buffer, "#pragma omp return");
if (gimple_omp_return_nowait_p (gs))
pp_string (buffer, "(nowait)");
if (gimple_omp_return_lhs (gs))
{
pp_string (buffer, " (set ");
dump_generic_node (buffer, gimple_omp_return_lhs (gs),
spc, flags, false);
pp_character (buffer, ')');
}
}
}
/* Dump a GIMPLE_TRANSACTION tuple on the pretty_printer BUFFER. */
static void
dump_gimple_transaction (pretty_printer *buffer, gtransaction *gs,
int spc, dump_flags_t flags)
{
unsigned subcode = gimple_transaction_subcode (gs);
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags,
"%G [SUBCODE=%x,NORM=%T,UNINST=%T,OVER=%T] "
"<%+BODY <%S> >",
gs, subcode, gimple_transaction_label_norm (gs),
gimple_transaction_label_uninst (gs),
gimple_transaction_label_over (gs),
gimple_transaction_body (gs));
}
else
{
if (subcode & GTMA_IS_OUTER)
pp_string (buffer, "__transaction_atomic [[outer]]");
else if (subcode & GTMA_IS_RELAXED)
pp_string (buffer, "__transaction_relaxed");
else
pp_string (buffer, "__transaction_atomic");
subcode &= ~GTMA_DECLARATION_MASK;
if (gimple_transaction_body (gs))
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_transaction_body (gs),
spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
else
{
pp_string (buffer, " //");
if (gimple_transaction_label_norm (gs))
{
pp_string (buffer, " NORM=");
dump_generic_node (buffer, gimple_transaction_label_norm (gs),
spc, flags, false);
}
if (gimple_transaction_label_uninst (gs))
{
pp_string (buffer, " UNINST=");
dump_generic_node (buffer, gimple_transaction_label_uninst (gs),
spc, flags, false);
}
if (gimple_transaction_label_over (gs))
{
pp_string (buffer, " OVER=");
dump_generic_node (buffer, gimple_transaction_label_over (gs),
spc, flags, false);
}
if (subcode)
{
pp_string (buffer, " SUBCODE=[ ");
if (subcode & GTMA_HAVE_ABORT)
{
pp_string (buffer, "GTMA_HAVE_ABORT ");
subcode &= ~GTMA_HAVE_ABORT;
}
if (subcode & GTMA_HAVE_LOAD)
{
pp_string (buffer, "GTMA_HAVE_LOAD ");
subcode &= ~GTMA_HAVE_LOAD;
}
if (subcode & GTMA_HAVE_STORE)
{
pp_string (buffer, "GTMA_HAVE_STORE ");
subcode &= ~GTMA_HAVE_STORE;
}
if (subcode & GTMA_MAY_ENTER_IRREVOCABLE)
{
pp_string (buffer, "GTMA_MAY_ENTER_IRREVOCABLE ");
subcode &= ~GTMA_MAY_ENTER_IRREVOCABLE;
}
if (subcode & GTMA_DOES_GO_IRREVOCABLE)
{
pp_string (buffer, "GTMA_DOES_GO_IRREVOCABLE ");
subcode &= ~GTMA_DOES_GO_IRREVOCABLE;
}
if (subcode & GTMA_HAS_NO_INSTRUMENTATION)
{
pp_string (buffer, "GTMA_HAS_NO_INSTRUMENTATION ");
subcode &= ~GTMA_HAS_NO_INSTRUMENTATION;
}
if (subcode)
pp_printf (buffer, "0x%x ", subcode);
pp_right_bracket (buffer);
}
}
}
}
/* Dump a GIMPLE_ASM tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_asm (pretty_printer *buffer, gasm *gs, int spc, dump_flags_t flags)
{
unsigned int i, n, f, fields;
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+STRING <%n%s%n>", gs,
gimple_asm_string (gs));
n = gimple_asm_noutputs (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "OUTPUT: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_output_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
n = gimple_asm_ninputs (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "INPUT: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_input_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
n = gimple_asm_nclobbers (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "CLOBBER: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_clobber_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
n = gimple_asm_nlabels (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "LABEL: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_label_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
newline_and_indent (buffer, spc);
pp_greater (buffer);
}
else
{
pp_string (buffer, "__asm__");
if (gimple_asm_volatile_p (gs))
pp_string (buffer, " __volatile__");
if (gimple_asm_inline_p (gs))
pp_string (buffer, " __inline__");
if (gimple_asm_nlabels (gs))
pp_string (buffer, " goto");
pp_string (buffer, "(\"");
pp_string (buffer, gimple_asm_string (gs));
pp_string (buffer, "\"");
if (gimple_asm_nlabels (gs))
fields = 4;
else if (gimple_asm_nclobbers (gs))
fields = 3;
else if (gimple_asm_ninputs (gs))
fields = 2;
else if (gimple_asm_noutputs (gs))
fields = 1;
else
fields = 0;
for (f = 0; f < fields; ++f)
{
pp_string (buffer, " : ");
switch (f)
{
case 0:
n = gimple_asm_noutputs (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_output_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
case 1:
n = gimple_asm_ninputs (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_input_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
case 2:
n = gimple_asm_nclobbers (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_clobber_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
case 3:
n = gimple_asm_nlabels (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_label_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
default:
gcc_unreachable ();
}
}
pp_string (buffer, ");");
}
}
/* Dump ptr_info and range_info for NODE on pretty_printer BUFFER with
SPC spaces of indent. */
static void
dump_ssaname_info (pretty_printer *buffer, tree node, int spc)
{
if (TREE_CODE (node) != SSA_NAME)
return;
if (POINTER_TYPE_P (TREE_TYPE (node))
&& SSA_NAME_PTR_INFO (node))
{
unsigned int align, misalign;
struct ptr_info_def *pi = SSA_NAME_PTR_INFO (node);
pp_string (buffer, "# PT = ");
pp_points_to_solution (buffer, &pi->pt);
newline_and_indent (buffer, spc);
if (get_ptr_info_alignment (pi, &align, &misalign))
{
pp_printf (buffer, "# ALIGN = %u, MISALIGN = %u", align, misalign);
newline_and_indent (buffer, spc);
}
}
if (!POINTER_TYPE_P (TREE_TYPE (node))
&& SSA_NAME_RANGE_INFO (node))
{
wide_int min, max, nonzero_bits;
value_range_type range_type = get_range_info (node, &min, &max);
if (range_type == VR_VARYING)
pp_printf (buffer, "# RANGE VR_VARYING");
else if (range_type == VR_RANGE || range_type == VR_ANTI_RANGE)
{
pp_printf (buffer, "# RANGE ");
pp_printf (buffer, "%s[", range_type == VR_RANGE ? "" : "~");
pp_wide_int (buffer, min, TYPE_SIGN (TREE_TYPE (node)));
pp_printf (buffer, ", ");
pp_wide_int (buffer, max, TYPE_SIGN (TREE_TYPE (node)));
pp_printf (buffer, "]");
}
nonzero_bits = get_nonzero_bits (node);
if (nonzero_bits != -1)
{
pp_string (buffer, " NONZERO ");
pp_wide_int (buffer, nonzero_bits, UNSIGNED);
}
newline_and_indent (buffer, spc);
}
}
/* As dump_ssaname_info, but dump to FILE. */
void
dump_ssaname_info_to_file (FILE *file, tree node, int spc)
{
pretty_printer buffer;
pp_needs_newline (&buffer) = true;
buffer.buffer->stream = file;
dump_ssaname_info (&buffer, node, spc);
pp_flush (&buffer);
}
/* Dump a PHI node PHI. BUFFER, SPC and FLAGS are as in pp_gimple_stmt_1.
The caller is responsible for calling pp_flush on BUFFER to finalize
pretty printer. If COMMENT is true, print this after #. */
static void
dump_gimple_phi (pretty_printer *buffer, gphi *phi, int spc, bool comment,
dump_flags_t flags)
{
size_t i;
tree lhs = gimple_phi_result (phi);
if (flags & TDF_ALIAS)
dump_ssaname_info (buffer, lhs, spc);
if (comment)
pp_string (buffer, "# ");
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, ", phi,
gimple_phi_result (phi));
else
{
dump_generic_node (buffer, lhs, spc, flags, false);
if (flags & TDF_GIMPLE)
pp_string (buffer, " = __PHI (");
else
pp_string (buffer, " = PHI <");
}
for (i = 0; i < gimple_phi_num_args (phi); i++)
{
if ((flags & TDF_LINENO) && gimple_phi_arg_has_location (phi, i))
dump_location (buffer, gimple_phi_arg_location (phi, i));
if (flags & TDF_GIMPLE)
{
basic_block src = gimple_phi_arg_edge (phi, i)->src;
gimple *stmt = first_stmt (src);
if (!stmt || gimple_code (stmt) != GIMPLE_LABEL)
{
pp_string (buffer, "bb_");
pp_decimal_int (buffer, src->index);
}
else
dump_generic_node (buffer, gimple_label_label (as_a <glabel *> (stmt)), 0, flags,
false);
pp_string (buffer, ": ");
}
dump_generic_node (buffer, gimple_phi_arg_def (phi, i), spc, flags,
false);
if (! (flags & TDF_GIMPLE))
{
pp_left_paren (buffer);
pp_decimal_int (buffer, gimple_phi_arg_edge (phi, i)->src->index);
pp_right_paren (buffer);
}
if (i < gimple_phi_num_args (phi) - 1)
pp_string (buffer, ", ");
}
if (flags & TDF_GIMPLE)
pp_string (buffer, ");");
else
pp_greater (buffer);
}
/* Dump a GIMPLE_OMP_PARALLEL tuple on the pretty_printer BUFFER, SPC spaces
of indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_omp_parallel (pretty_printer *buffer, gomp_parallel *gs,
int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_parallel_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >, %T, %T%n>",
gimple_omp_parallel_child_fn (gs),
gimple_omp_parallel_data_arg (gs));
}
else
{
gimple_seq body;
pp_string (buffer, "#pragma omp parallel");
dump_omp_clauses (buffer, gimple_omp_parallel_clauses (gs), spc, flags);
if (gimple_omp_parallel_child_fn (gs))
{
pp_string (buffer, " [child fn: ");
dump_generic_node (buffer, gimple_omp_parallel_child_fn (gs),
spc, flags, false);
pp_string (buffer, " (");
if (gimple_omp_parallel_data_arg (gs))
dump_generic_node (buffer, gimple_omp_parallel_data_arg (gs),
spc, flags, false);
else
pp_string (buffer, "???");
pp_string (buffer, ")]");
}
body = gimple_omp_body (gs);
if (body && gimple_code (gimple_seq_first_stmt (body)) != GIMPLE_BIND)
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
else if (body)
{
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 2, flags);
}
}
}
/* Dump a GIMPLE_OMP_TASK tuple on the pretty_printer BUFFER, SPC spaces
of indent. FLAGS specifies details to show in the dump (see TDF_* in
dumpfile.h). */
static void
dump_gimple_omp_task (pretty_printer *buffer, gomp_task *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_task_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >, %T, %T, %T, %T, %T%n>",
gimple_omp_task_child_fn (gs),
gimple_omp_task_data_arg (gs),
gimple_omp_task_copy_fn (gs),
gimple_omp_task_arg_size (gs),
gimple_omp_task_arg_size (gs));
}
else
{
gimple_seq body;
if (gimple_omp_task_taskloop_p (gs))
pp_string (buffer, "#pragma omp taskloop");
else
pp_string (buffer, "#pragma omp task");
dump_omp_clauses (buffer, gimple_omp_task_clauses (gs), spc, flags);
if (gimple_omp_task_child_fn (gs))
{
pp_string (buffer, " [child fn: ");
dump_generic_node (buffer, gimple_omp_task_child_fn (gs),
spc, flags, false);
pp_string (buffer, " (");
if (gimple_omp_task_data_arg (gs))
dump_generic_node (buffer, gimple_omp_task_data_arg (gs),
spc, flags, false);
else
pp_string (buffer, "???");
pp_string (buffer, ")]");
}
body = gimple_omp_body (gs);
if (body && gimple_code (gimple_seq_first_stmt (body)) != GIMPLE_BIND)
{
newline_and_indent (buffer, spc + 2);
pp_left_brace (buffer);
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_right_brace (buffer);
}
else if (body)
{
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 2, flags);
}
}
}
/* Dump a GIMPLE_OMP_ATOMIC_LOAD tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see TDF_*
in dumpfile.h). */
static void
dump_gimple_omp_atomic_load (pretty_printer *buffer, gomp_atomic_load *gs,
int spc, dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %T>", gs,
gimple_omp_atomic_load_lhs (gs),
gimple_omp_atomic_load_rhs (gs));
}
else
{
pp_string (buffer, "#pragma omp atomic_load");
if (gimple_omp_atomic_seq_cst_p (gs))
pp_string (buffer, " seq_cst");
if (gimple_omp_atomic_need_value_p (gs))
pp_string (buffer, " [needed]");
newline_and_indent (buffer, spc + 2);
dump_generic_node (buffer, gimple_omp_atomic_load_lhs (gs),
spc, flags, false);
pp_space (buffer);
pp_equal (buffer);
pp_space (buffer);
pp_star (buffer);
dump_generic_node (buffer, gimple_omp_atomic_load_rhs (gs),
spc, flags, false);
}
}
/* Dump a GIMPLE_OMP_ATOMIC_STORE tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see TDF_*
in dumpfile.h). */
static void
dump_gimple_omp_atomic_store (pretty_printer *buffer,
gomp_atomic_store *gs, int spc,
dump_flags_t flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs,
gimple_omp_atomic_store_val (gs));
}
else
{
pp_string (buffer, "#pragma omp atomic_store ");
if (gimple_omp_atomic_seq_cst_p (gs))
pp_string (buffer, "seq_cst ");
if (gimple_omp_atomic_need_value_p (gs))
pp_string (buffer, "[needed] ");
pp_left_paren (buffer);
dump_generic_node (buffer, gimple_omp_atomic_store_val (gs),
spc, flags, false);
pp_right_paren (buffer);
}
}
/* Dump all the memory operands for statement GS. BUFFER, SPC and
FLAGS are as in pp_gimple_stmt_1. */
static void
dump_gimple_mem_ops (pretty_printer *buffer, gimple *gs, int spc,
dump_flags_t flags)
{
tree vdef = gimple_vdef (gs);
tree vuse = gimple_vuse (gs);
if (vdef != NULL_TREE)
{
pp_string (buffer, "# ");
dump_generic_node (buffer, vdef, spc + 2, flags, false);
pp_string (buffer, " = VDEF <");
dump_generic_node (buffer, vuse, spc + 2, flags, false);
pp_greater (buffer);
newline_and_indent (buffer, spc);
}
else if (vuse != NULL_TREE)
{
pp_string (buffer, "# VUSE <");
dump_generic_node (buffer, vuse, spc + 2, flags, false);
pp_greater (buffer);
newline_and_indent (buffer, spc);
}
}
/* Print the gimple statement GS on the pretty printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in dumpfile.h). The caller is responsible for calling
pp_flush on BUFFER to finalize the pretty printer. */
void
pp_gimple_stmt_1 (pretty_printer *buffer, gimple *gs, int spc,
dump_flags_t flags)
{
if (!gs)
return;
if (flags & TDF_STMTADDR)
pp_printf (buffer, "<&%p> ", (void *) gs);
if ((flags & TDF_LINENO) && gimple_has_location (gs))
dump_location (buffer, gimple_location (gs));
if (flags & TDF_EH)
{
int lp_nr = lookup_stmt_eh_lp (gs);
if (lp_nr > 0)
pp_printf (buffer, "[LP %d] ", lp_nr);
else if (lp_nr < 0)
pp_printf (buffer, "[MNT %d] ", -lp_nr);
}
if ((flags & (TDF_VOPS|TDF_MEMSYMS))
&& gimple_has_mem_ops (gs))
dump_gimple_mem_ops (buffer, gs, spc, flags);
if (gimple_has_lhs (gs)
&& (flags & TDF_ALIAS))
dump_ssaname_info (buffer, gimple_get_lhs (gs), spc);
switch (gimple_code (gs))
{
case GIMPLE_ASM:
dump_gimple_asm (buffer, as_a <gasm *> (gs), spc, flags);
break;
case GIMPLE_ASSIGN:
dump_gimple_assign (buffer, as_a <gassign *> (gs), spc, flags);
break;
case GIMPLE_BIND:
dump_gimple_bind (buffer, as_a <gbind *> (gs), spc, flags);
break;
case GIMPLE_CALL:
dump_gimple_call (buffer, as_a <gcall *> (gs), spc, flags);
break;
case GIMPLE_COND:
dump_gimple_cond (buffer, as_a <gcond *> (gs), spc, flags);
break;
case GIMPLE_LABEL:
dump_gimple_label (buffer, as_a <glabel *> (gs), spc, flags);
break;
case GIMPLE_GOTO:
dump_gimple_goto (buffer, as_a <ggoto *> (gs), spc, flags);
break;
case GIMPLE_NOP:
pp_string (buffer, "GIMPLE_NOP");
break;
case GIMPLE_RETURN:
dump_gimple_return (buffer, as_a <greturn *> (gs), spc, flags);
break;
case GIMPLE_SWITCH:
dump_gimple_switch (buffer, as_a <gswitch *> (gs), spc, flags);
break;
case GIMPLE_TRY:
dump_gimple_try (buffer, as_a <gtry *> (gs), spc, flags);
break;
case GIMPLE_PHI:
dump_gimple_phi (buffer, as_a <gphi *> (gs), spc, false, flags);
break;
case GIMPLE_OMP_PARALLEL:
dump_gimple_omp_parallel (buffer, as_a <gomp_parallel *> (gs), spc,
flags);
break;
case GIMPLE_OMP_TASK:
dump_gimple_omp_task (buffer, as_a <gomp_task *> (gs), spc, flags);
break;
case GIMPLE_OMP_ATOMIC_LOAD:
dump_gimple_omp_atomic_load (buffer, as_a <gomp_atomic_load *> (gs),
spc, flags);
break;
case GIMPLE_OMP_ATOMIC_STORE:
dump_gimple_omp_atomic_store (buffer,
as_a <gomp_atomic_store *> (gs),
spc, flags);
break;
case GIMPLE_OMP_FOR:
dump_gimple_omp_for (buffer, as_a <gomp_for *> (gs), spc, flags);
break;
case GIMPLE_OMP_CONTINUE:
dump_gimple_omp_continue (buffer, as_a <gomp_continue *> (gs), spc,
flags);
break;
case GIMPLE_OMP_SINGLE:
dump_gimple_omp_single (buffer, as_a <gomp_single *> (gs), spc,
flags);
break;
case GIMPLE_OMP_TARGET:
dump_gimple_omp_target (buffer, as_a <gomp_target *> (gs), spc,
flags);
break;
case GIMPLE_OMP_TEAMS:
dump_gimple_omp_teams (buffer, as_a <gomp_teams *> (gs), spc,
flags);
break;
case GIMPLE_OMP_RETURN:
dump_gimple_omp_return (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_SECTIONS:
dump_gimple_omp_sections (buffer, as_a <gomp_sections *> (gs),
spc, flags);
break;
case GIMPLE_OMP_SECTIONS_SWITCH:
pp_string (buffer, "GIMPLE_SECTIONS_SWITCH");
break;
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_TASKGROUP:
case GIMPLE_OMP_SECTION:
case GIMPLE_OMP_GRID_BODY:
dump_gimple_omp_block (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_ORDERED:
dump_gimple_omp_ordered (buffer, as_a <gomp_ordered *> (gs), spc,
flags);
break;
case GIMPLE_OMP_CRITICAL:
dump_gimple_omp_critical (buffer, as_a <gomp_critical *> (gs), spc,
flags);
break;
case GIMPLE_CATCH:
dump_gimple_catch (buffer, as_a <gcatch *> (gs), spc, flags);
break;
case GIMPLE_EH_FILTER:
dump_gimple_eh_filter (buffer, as_a <geh_filter *> (gs), spc, flags);
break;
case GIMPLE_EH_MUST_NOT_THROW:
dump_gimple_eh_must_not_throw (buffer,
as_a <geh_mnt *> (gs),
spc, flags);
break;
case GIMPLE_EH_ELSE:
dump_gimple_eh_else (buffer, as_a <geh_else *> (gs), spc, flags);
break;
case GIMPLE_RESX:
dump_gimple_resx (buffer, as_a <gresx *> (gs), spc, flags);
break;
case GIMPLE_EH_DISPATCH:
dump_gimple_eh_dispatch (buffer, as_a <geh_dispatch *> (gs), spc,
flags);
break;
case GIMPLE_DEBUG:
dump_gimple_debug (buffer, as_a <gdebug *> (gs), spc, flags);
break;
case GIMPLE_PREDICT:
pp_string (buffer, "// predicted ");
if (gimple_predict_outcome (gs))
pp_string (buffer, "likely by ");
else
pp_string (buffer, "unlikely by ");
pp_string (buffer, predictor_name (gimple_predict_predictor (gs)));
pp_string (buffer, " predictor.");
break;
case GIMPLE_TRANSACTION:
dump_gimple_transaction (buffer, as_a <gtransaction *> (gs), spc,
flags);
break;
default:
GIMPLE_NIY;
}
}
/* Dumps header of basic block BB to OUTF indented by INDENT
spaces and details described by flags. */
static void
dump_gimple_bb_header (FILE *outf, basic_block bb, int indent,
dump_flags_t flags)
{
if (flags & TDF_BLOCKS)
{
if (flags & TDF_LINENO)
{
gimple_stmt_iterator gsi;
fputs (";; ", outf);
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
if (!is_gimple_debug (gsi_stmt (gsi))
&& get_lineno (gsi_stmt (gsi)) != UNKNOWN_LOCATION)
{
fprintf (outf, "%*sstarting at line %d",
indent, "", get_lineno (gsi_stmt (gsi)));
break;
}
if (bb->discriminator)
fprintf (outf, ", discriminator %i", bb->discriminator);
fputc ('\n', outf);
}
}
else
{
if (flags & TDF_GIMPLE)
fprintf (outf, "%*sbb_%d:\n", indent, "", bb->index);
else
fprintf (outf, "%*s<bb %d> %s:\n",
indent, "", bb->index, dump_profile (bb->count));
}
}
/* Dumps end of basic block BB to buffer BUFFER indented by INDENT
spaces. */
static void
dump_gimple_bb_footer (FILE *outf ATTRIBUTE_UNUSED,
basic_block bb ATTRIBUTE_UNUSED,
int indent ATTRIBUTE_UNUSED,
dump_flags_t flags ATTRIBUTE_UNUSED)
{
/* There is currently no GIMPLE-specific basic block info to dump. */
return;
}
/* Dump PHI nodes of basic block BB to BUFFER with details described
by FLAGS and indented by INDENT spaces. */
static void
dump_phi_nodes (pretty_printer *buffer, basic_block bb, int indent,
dump_flags_t flags)
{
gphi_iterator i;
for (i = gsi_start_phis (bb); !gsi_end_p (i); gsi_next (&i))
{
gphi *phi = i.phi ();
if (!virtual_operand_p (gimple_phi_result (phi)) || (flags & TDF_VOPS))
{
INDENT (indent);
dump_gimple_phi (buffer, phi, indent,
(flags & TDF_GIMPLE) ? false : true, flags);
pp_newline (buffer);
}
}
}
/* Dump jump to basic block BB that is represented implicitly in the cfg
to BUFFER. */
static void
pp_cfg_jump (pretty_printer *buffer, edge e, dump_flags_t flags)
{
if (flags & TDF_GIMPLE)
{
pp_string (buffer, "goto bb_");
pp_decimal_int (buffer, e->dest->index);
pp_semicolon (buffer);
}
else
{
pp_string (buffer, "goto <bb ");
pp_decimal_int (buffer, e->dest->index);
pp_greater (buffer);
pp_semicolon (buffer);
dump_edge_probability (buffer, e);
}
}
/* Dump edges represented implicitly in basic block BB to BUFFER, indented
by INDENT spaces, with details given by FLAGS. */
static void
dump_implicit_edges (pretty_printer *buffer, basic_block bb, int indent,
dump_flags_t flags)
{
edge e;
gimple *stmt;
stmt = last_stmt (bb);
if (stmt && gimple_code (stmt) == GIMPLE_COND)
{
edge true_edge, false_edge;
/* When we are emitting the code or changing CFG, it is possible that
the edges are not yet created. When we are using debug_bb in such
a situation, we do not want it to crash. */
if (EDGE_COUNT (bb->succs) != 2)
return;
extract_true_false_edges_from_block (bb, &true_edge, &false_edge);
INDENT (indent + 2);
pp_cfg_jump (buffer, true_edge, flags);
newline_and_indent (buffer, indent);
pp_string (buffer, "else");
newline_and_indent (buffer, indent + 2);
pp_cfg_jump (buffer, false_edge, flags);
pp_newline (buffer);
return;
}
/* If there is a fallthru edge, we may need to add an artificial
goto to the dump. */
e = find_fallthru_edge (bb->succs);
if (e && e->dest != bb->next_bb)
{
INDENT (indent);
if ((flags & TDF_LINENO)
&& e->goto_locus != UNKNOWN_LOCATION)
dump_location (buffer, e->goto_locus);
pp_cfg_jump (buffer, e, flags);
pp_newline (buffer);
}
}
/* Dumps basic block BB to buffer BUFFER with details described by FLAGS and
indented by INDENT spaces. */
static void
gimple_dump_bb_buff (pretty_printer *buffer, basic_block bb, int indent,
dump_flags_t flags)
{
gimple_stmt_iterator gsi;
gimple *stmt;
int label_indent = indent - 2;
if (label_indent < 0)
label_indent = 0;
dump_phi_nodes (buffer, bb, indent, flags);
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
int curr_indent;
stmt = gsi_stmt (gsi);
curr_indent = gimple_code (stmt) == GIMPLE_LABEL ? label_indent : indent;
INDENT (curr_indent);
pp_gimple_stmt_1 (buffer, stmt, curr_indent, flags);
pp_newline_and_flush (buffer);
gcc_checking_assert (DECL_STRUCT_FUNCTION (current_function_decl));
dump_histograms_for_stmt (DECL_STRUCT_FUNCTION (current_function_decl),
pp_buffer (buffer)->stream, stmt);
}
dump_implicit_edges (buffer, bb, indent, flags);
pp_flush (buffer);
}
/* Dumps basic block BB to FILE with details described by FLAGS and
indented by INDENT spaces. */
void
gimple_dump_bb (FILE *file, basic_block bb, int indent, dump_flags_t flags)
{
dump_gimple_bb_header (file, bb, indent, flags);
if (bb->index >= NUM_FIXED_BLOCKS)
{
pretty_printer buffer;
pp_needs_newline (&buffer) = true;
buffer.buffer->stream = file;
gimple_dump_bb_buff (&buffer, bb, indent, flags);
}
dump_gimple_bb_footer (file, bb, indent, flags);
}
/* Dumps basic block BB to pretty-printer PP with default dump flags and
no indentation, for use as a label of a DOT graph record-node.
??? Should just use gimple_dump_bb_buff here, except that value profiling
histogram dumping doesn't know about pretty-printers. */
void
gimple_dump_bb_for_graph (pretty_printer *pp, basic_block bb)
{
pp_printf (pp, "<bb %d>:\n", bb->index);
pp_write_text_as_dot_label_to_stream (pp, /*for_record=*/true);
for (gphi_iterator gsi = gsi_start_phis (bb); !gsi_end_p (gsi);
gsi_next (&gsi))
{
gphi *phi = gsi.phi ();
if (!virtual_operand_p (gimple_phi_result (phi))
|| (dump_flags & TDF_VOPS))
{
pp_bar (pp);
pp_write_text_to_stream (pp);
pp_string (pp, "# ");
pp_gimple_stmt_1 (pp, phi, 0, dump_flags);
pp_newline (pp);
pp_write_text_as_dot_label_to_stream (pp, /*for_record=*/true);
}
}
for (gimple_stmt_iterator gsi = gsi_start_bb (bb); !gsi_end_p (gsi);
gsi_next (&gsi))
{
gimple *stmt = gsi_stmt (gsi);
pp_bar (pp);
pp_write_text_to_stream (pp);
pp_gimple_stmt_1 (pp, stmt, 0, dump_flags);
pp_newline (pp);
pp_write_text_as_dot_label_to_stream (pp, /*for_record=*/true);
}
dump_implicit_edges (pp, bb, 0, dump_flags);
pp_write_text_as_dot_label_to_stream (pp, /*for_record=*/true);
}
/* Handle the %G format for TEXT. Same as %K in handle_K_format in
tree-pretty-print.c but with a Gimple call statement as an argument. */
void
percent_G_format (text_info *text)
{
gcall *stmt = va_arg (*text->args_ptr, gcall*);
/* Build a call expression from the Gimple call statement and
pass it to the K formatter that knows how to format it. */
tree exp = build_vl_exp (CALL_EXPR, gimple_call_num_args (stmt) + 3);
CALL_EXPR_FN (exp) = gimple_call_fn (stmt);
TREE_TYPE (exp) = gimple_call_return_type (stmt);
CALL_EXPR_STATIC_CHAIN (exp) = gimple_call_chain (stmt);
SET_EXPR_LOCATION (exp, gimple_location (stmt));
percent_K_format (text, exp);
}
|
csr_matvec.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)
******************************************************************************/
/******************************************************************************
*
* Matvec functions for hypre_CSRMatrix class.
*
*****************************************************************************/
#include "seq_mv.h"
/*--------------------------------------------------------------------------
* hypre_CSRMatrixMatvec
*--------------------------------------------------------------------------*/
/* y[offset:end] = alpha*A[offset:end,:]*x + beta*b[offset:end] */
HYPRE_Int
hypre_CSRMatrixMatvecOutOfPlaceHost( HYPRE_Complex alpha,
hypre_CSRMatrix *A,
hypre_Vector *x,
HYPRE_Complex beta,
hypre_Vector *b,
hypre_Vector *y,
HYPRE_Int offset )
{
HYPRE_Complex *A_data = hypre_CSRMatrixData(A);
HYPRE_Int *A_i = hypre_CSRMatrixI(A) + offset;
HYPRE_Int *A_j = hypre_CSRMatrixJ(A);
HYPRE_Int num_rows = hypre_CSRMatrixNumRows(A) - offset;
HYPRE_Int num_cols = hypre_CSRMatrixNumCols(A);
/*HYPRE_Int num_nnz = hypre_CSRMatrixNumNonzeros(A);*/
HYPRE_Int *A_rownnz = hypre_CSRMatrixRownnz(A);
HYPRE_Int num_rownnz = hypre_CSRMatrixNumRownnz(A);
HYPRE_Complex *x_data = hypre_VectorData(x);
HYPRE_Complex *b_data = hypre_VectorData(b) + offset;
HYPRE_Complex *y_data = hypre_VectorData(y) + offset;
HYPRE_Int x_size = hypre_VectorSize(x);
HYPRE_Int b_size = hypre_VectorSize(b) - offset;
HYPRE_Int y_size = hypre_VectorSize(y) - offset;
HYPRE_Int num_vectors = hypre_VectorNumVectors(x);
HYPRE_Int idxstride_y = hypre_VectorIndexStride(y);
HYPRE_Int vecstride_y = hypre_VectorVectorStride(y);
/*HYPRE_Int idxstride_b = hypre_VectorIndexStride(b);
HYPRE_Int vecstride_b = hypre_VectorVectorStride(b);*/
HYPRE_Int idxstride_x = hypre_VectorIndexStride(x);
HYPRE_Int vecstride_x = hypre_VectorVectorStride(x);
HYPRE_Complex temp, tempx;
HYPRE_Int i, j, jj, m, ierr=0;
HYPRE_Real xpar=0.7;
hypre_Vector *x_tmp = NULL;
/*---------------------------------------------------------------------
* Check for size compatibility. Matvec returns ierr = 1 if
* length of X doesn't equal the number of columns of A,
* ierr = 2 if the length of Y doesn't equal the number of rows
* of A, and ierr = 3 if both are true.
*
* Because temporary vectors are often used in Matvec, none of
* these conditions terminates processing, and the ierr flag
* is informational only.
*--------------------------------------------------------------------*/
hypre_assert(num_vectors == hypre_VectorNumVectors(y));
hypre_assert(num_vectors == hypre_VectorNumVectors(b));
if (num_cols != x_size)
{
ierr = 1;
}
if (num_rows != y_size || num_rows != b_size)
{
ierr = 2;
}
if (num_cols != x_size && (num_rows != y_size || num_rows != b_size))
{
ierr = 3;
}
/*-----------------------------------------------------------------------
* Do (alpha == 0.0) computation - RDF: USE MACHINE EPS
*-----------------------------------------------------------------------*/
if (alpha == 0.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows*num_vectors; i++)
{
y_data[i] = beta*b_data[i];
}
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_MATVEC] += hypre_MPI_Wtime() - time_begin;
#endif
return ierr;
}
if (x == y)
{
x_tmp = hypre_SeqVectorCloneDeep(x);
x_data = hypre_VectorData(x_tmp);
}
temp = beta / alpha;
if (num_vectors > 1)
{
/*-----------------------------------------------------------------------
* y = (beta/alpha)*b
*-----------------------------------------------------------------------*/
if (temp == 0.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows*num_vectors; i++)
{
y_data[i] = 0.0;
}
}
else if (temp == 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows*num_vectors; i++)
{
y_data[i] = b_data[i];
}
}
else if (temp == -1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows*num_vectors; i++)
{
y_data[i] = -b_data[i];
}
}
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows*num_vectors; i++)
{
y_data[i] = temp*b_data[i];
}
}
/*-----------------------------------------------------------------
* y += A*x
*-----------------------------------------------------------------*/
if (num_rownnz < xpar*num_rows)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jj,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
for (j = 0; j < num_vectors; j++)
{
tempx = 0.0;
for (jj = A_i[m]; jj < A_i[m+1]; jj++)
{
tempx += A_data[jj] * x_data[j*vecstride_x + A_j[jj]*idxstride_x];
}
y_data[j*vecstride_y + m*idxstride_y] += tempx;
}
}
}
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jj,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
for (j = 0; j < num_vectors; ++j)
{
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[j*vecstride_x + A_j[jj]*idxstride_x];
}
y_data[j*vecstride_y + i*idxstride_y] += tempx;
}
}
}
/*-----------------------------------------------------------------
* y = alpha*y
*-----------------------------------------------------------------*/
if (alpha != 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows*num_vectors; i++)
{
y_data[i] *= alpha;
}
}
}
else if (num_rownnz < xpar*num_rows)
{
/* use rownnz pointer to do the A*x multiplication when
num_rownnz is smaller than xpar*num_rows */
if (temp == 0.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = 0.0;
}
if (alpha == 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] = tempx;
}
} // y = A*x
else if (alpha == -1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx -= A_data[j] * x_data[A_j[j]];
}
y_data[m] = tempx;
}
} // y = -A*x
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] = alpha*tempx;
}
} // y = alpha*A*x
} // temp == 0
else if (temp == -1.0) // beta == -alpha
{
if (alpha == 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = -b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] += tempx;
}
} // y = A*x - b
else if (alpha == -1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] -= tempx;
}
} // y = -A*x + b
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = -alpha*b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] += alpha*tempx;
}
} // y = alpha*(A*x - b)
} // temp == -1
else if (temp == 1.0) // beta == alpha
{
if (alpha == 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] += tempx;
}
} // y = A*x + b
else if (alpha == -1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = -b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx -= A_data[j] * x_data[A_j[j]];
}
y_data[m] += tempx;
}
} // y = -A*x - b
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = alpha*b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] += alpha*tempx;
}
} // y = alpha*(A*x + b)
}
else
{
if (alpha == 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = beta*b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] += tempx;
}
} // y = A*x + beta*b
else if (-1 == alpha)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = -temp*b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx -= A_data[j] * x_data[A_j[j]];
}
y_data[m] += tempx;
}
} // y = -A*x - temp*b
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
y_data[i] = beta*b_data[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,m,tempx) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rownnz; i++)
{
m = A_rownnz[i];
tempx = 0.0;
for (j = A_i[m]; j < A_i[m+1]; j++)
{
tempx += A_data[j] * x_data[A_j[j]];
}
y_data[m] += alpha*tempx;
}
} // y = alpha*(A*x + temp*b)
} // temp != 0 && temp != -1 && temp != 1
}
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(i,jj,tempx)
#endif
{
HYPRE_Int iBegin = hypre_CSRMatrixGetLoadBalancedPartitionBegin(A);
HYPRE_Int iEnd = hypre_CSRMatrixGetLoadBalancedPartitionEnd(A);
hypre_assert(iBegin <= iEnd);
hypre_assert(iBegin >= 0 && iBegin <= num_rows);
hypre_assert(iEnd >= 0 && iEnd <= num_rows);
if (temp == 0.0)
{
if (alpha == 1.0) // JSP: a common path
{
for (i = iBegin; i < iEnd; i++)
{
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] = tempx;
}
} // y = A*x
else if (alpha == -1.0)
{
for (i = iBegin; i < iEnd; i++)
{
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx -= A_data[jj] * x_data[A_j[jj]];
}
y_data[i] = tempx;
}
} // y = -A*x
else
{
for (i = iBegin; i < iEnd; i++)
{
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] = alpha*tempx;
}
} // y = alpha*A*x
} // temp == 0
else if (temp == -1.0) // beta == -alpha
{
if (alpha == 1.0) // JSP: a common path
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = -b_data[i];
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += tempx;
}
} // y = A*x - y
else if (alpha == -1.0) // JSP: a common path
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = b_data[i];
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx -= A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += tempx;
}
} // y = -A*x + y
else
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = -alpha*b_data[i];
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += alpha*tempx;
}
} // y = alpha*(A*x - y)
} // temp == -1
else if (temp == 1.0)
{
if (alpha == 1.0) // JSP: a common path
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = b_data[i];
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += tempx;
}
} // y = A*x + y
else if (alpha == -1.0)
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = -b_data[i];
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx -= A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += tempx;
}
} // y = -A*x - y
else
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = alpha * b_data[i];
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += alpha*tempx;
}
} // y = alpha*(A*x + y)
}
else
{
if (alpha == 1.0) // JSP: a common path
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = b_data[i]*temp;
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += tempx;
}
} // y = A*x + temp*y
else if (alpha == -1.0)
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = -b_data[i]*temp;
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx -= A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += tempx;
}
} // y = -A*x - temp*y
else
{
for (i = iBegin; i < iEnd; i++)
{
y_data[i] = b_data[i]*beta;
tempx = 0.0;
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
tempx += A_data[jj] * x_data[A_j[jj]];
}
y_data[i] += alpha*tempx;
}
} // y = alpha*(A*x + temp*y)
} // temp != 0 && temp != -1 && temp != 1
} // omp parallel
}
if (x == y)
{
hypre_SeqVectorDestroy(x_tmp);
}
return ierr;
}
HYPRE_Int
hypre_CSRMatrixMatvecOutOfPlace( HYPRE_Complex alpha,
hypre_CSRMatrix *A,
hypre_Vector *x,
HYPRE_Complex beta,
hypre_Vector *b,
hypre_Vector *y,
HYPRE_Int offset )
{
#ifdef HYPRE_PROFILE
HYPRE_Real time_begin = hypre_MPI_Wtime();
#endif
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_GPU)
//HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(A) );
//RL: TODO back to hypre_GetExecPolicy1 later
HYPRE_ExecutionPolicy exec = HYPRE_EXEC_DEVICE;
if (exec == HYPRE_EXEC_DEVICE)
{
ierr = hypre_CSRMatrixMatvecDevice(0, alpha, A, x, beta, b, y, offset);
}
else
#endif
{
ierr = hypre_CSRMatrixMatvecOutOfPlaceHost(alpha, A, x, beta, b, y, offset);
}
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_MATVEC] += hypre_MPI_Wtime() - time_begin;
#endif
return ierr;
}
HYPRE_Int
hypre_CSRMatrixMatvec( HYPRE_Complex alpha,
hypre_CSRMatrix *A,
hypre_Vector *x,
HYPRE_Complex beta,
hypre_Vector *y )
{
return hypre_CSRMatrixMatvecOutOfPlace(alpha, A, x, beta, y, y, 0);
}
/*--------------------------------------------------------------------------
* hypre_CSRMatrixMatvecT
*
* This version is using a different (more efficient) threading scheme
* Performs y <- alpha * A^T * x + beta * y
*
* From Van Henson's modification of hypre_CSRMatrixMatvec.
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_CSRMatrixMatvecTHost( HYPRE_Complex alpha,
hypre_CSRMatrix *A,
hypre_Vector *x,
HYPRE_Complex beta,
hypre_Vector *y )
{
HYPRE_Complex *A_data = hypre_CSRMatrixData(A);
HYPRE_Int *A_i = hypre_CSRMatrixI(A);
HYPRE_Int *A_j = hypre_CSRMatrixJ(A);
HYPRE_Int num_rows = hypre_CSRMatrixNumRows(A);
HYPRE_Int num_cols = hypre_CSRMatrixNumCols(A);
HYPRE_Complex *x_data = hypre_VectorData(x);
HYPRE_Complex *y_data = hypre_VectorData(y);
HYPRE_Int x_size = hypre_VectorSize(x);
HYPRE_Int y_size = hypre_VectorSize(y);
HYPRE_Int num_vectors = hypre_VectorNumVectors(x);
HYPRE_Int idxstride_y = hypre_VectorIndexStride(y);
HYPRE_Int vecstride_y = hypre_VectorVectorStride(y);
HYPRE_Int idxstride_x = hypre_VectorIndexStride(x);
HYPRE_Int vecstride_x = hypre_VectorVectorStride(x);
HYPRE_Complex temp;
HYPRE_Complex *y_data_expand;
HYPRE_Int my_thread_num = 0, offset = 0;
HYPRE_Int i, j, jv, jj;
HYPRE_Int num_threads;
HYPRE_Int ierr = 0;
hypre_Vector *x_tmp = NULL;
/*---------------------------------------------------------------------
* Check for size compatibility. MatvecT returns ierr = 1 if
* length of X doesn't equal the number of rows of A,
* ierr = 2 if the length of Y doesn't equal the number of
* columns of A, and ierr = 3 if both are true.
*
* Because temporary vectors are often used in MatvecT, none of
* these conditions terminates processing, and the ierr flag
* is informational only.
*--------------------------------------------------------------------*/
hypre_assert( num_vectors == hypre_VectorNumVectors(y) );
if (num_rows != x_size)
ierr = 1;
if (num_cols != y_size)
ierr = 2;
if (num_rows != x_size && num_cols != y_size)
ierr = 3;
/*-----------------------------------------------------------------------
* Do (alpha == 0.0) computation - RDF: USE MACHINE EPS
*-----------------------------------------------------------------------*/
if (alpha == 0.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols*num_vectors; i++)
y_data[i] *= beta;
return ierr;
}
if (x == y)
{
x_tmp = hypre_SeqVectorCloneDeep(x);
x_data = hypre_VectorData(x_tmp);
}
/*-----------------------------------------------------------------------
* y = (beta/alpha)*y
*-----------------------------------------------------------------------*/
temp = beta / alpha;
if (temp != 1.0)
{
if (temp == 0.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols*num_vectors; i++)
y_data[i] = 0.0;
}
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols*num_vectors; i++)
y_data[i] *= temp;
}
}
/*-----------------------------------------------------------------
* y += A^T*x
*-----------------------------------------------------------------*/
num_threads = hypre_NumThreads();
if (num_threads > 1)
{
y_data_expand = hypre_CTAlloc(HYPRE_Complex, num_threads*y_size, HYPRE_MEMORY_HOST);
if ( num_vectors==1 )
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(i,jj,j,my_thread_num,offset)
#endif
{
my_thread_num = hypre_GetThreadNum();
offset = y_size*my_thread_num;
#ifdef HYPRE_USING_OPENMP
#pragma omp for HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
j = A_j[jj];
y_data_expand[offset + j] += A_data[jj] * x_data[i];
}
}
/* implied barrier (for threads)*/
#ifdef HYPRE_USING_OPENMP
#pragma omp for HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < y_size; i++)
{
for (j = 0; j < num_threads; j++)
{
y_data[i] += y_data_expand[j*y_size + i];
}
}
} /* end parallel threaded region */
}
else
{
/* multiple vector case is not threaded */
for (i = 0; i < num_rows; i++)
{
for ( jv=0; jv<num_vectors; ++jv )
{
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
j = A_j[jj];
y_data[ j*idxstride_y + jv*vecstride_y ] +=
A_data[jj] * x_data[ i*idxstride_x + jv*vecstride_x];
}
}
}
}
hypre_TFree(y_data_expand, HYPRE_MEMORY_HOST);
}
else
{
for (i = 0; i < num_rows; i++)
{
if ( num_vectors==1 )
{
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
j = A_j[jj];
y_data[j] += A_data[jj] * x_data[i];
}
}
else
{
for ( jv=0; jv<num_vectors; ++jv )
{
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
{
j = A_j[jj];
y_data[ j*idxstride_y + jv*vecstride_y ] +=
A_data[jj] * x_data[ i*idxstride_x + jv*vecstride_x ];
}
}
}
}
}
/*-----------------------------------------------------------------
* y = alpha*y
*-----------------------------------------------------------------*/
if (alpha != 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols*num_vectors; i++)
{
y_data[i] *= alpha;
}
}
if (x == y)
{
hypre_SeqVectorDestroy(x_tmp);
}
return ierr;
}
HYPRE_Int
hypre_CSRMatrixMatvecT( HYPRE_Complex alpha,
hypre_CSRMatrix *A,
hypre_Vector *x,
HYPRE_Complex beta,
hypre_Vector *y )
{
#ifdef HYPRE_PROFILE
HYPRE_Real time_begin = hypre_MPI_Wtime();
#endif
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_GPU)
//HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(A) );
//RL: TODO back to hypre_GetExecPolicy1 later
HYPRE_ExecutionPolicy exec = HYPRE_EXEC_DEVICE;
if (exec == HYPRE_EXEC_DEVICE)
{
ierr = hypre_CSRMatrixMatvecDevice(1, alpha, A, x, beta, y, y, 0 );
}
else
#endif
{
ierr = hypre_CSRMatrixMatvecTHost(alpha, A, x, beta, y);
}
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_MATVEC] += hypre_MPI_Wtime() - time_begin;
#endif
return ierr;
}
/*--------------------------------------------------------------------------
* hypre_CSRMatrixMatvec_FF
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_CSRMatrixMatvec_FF( HYPRE_Complex alpha,
hypre_CSRMatrix *A,
hypre_Vector *x,
HYPRE_Complex beta,
hypre_Vector *y,
HYPRE_Int *CF_marker_x,
HYPRE_Int *CF_marker_y,
HYPRE_Int fpt )
{
HYPRE_Complex *A_data = hypre_CSRMatrixData(A);
HYPRE_Int *A_i = hypre_CSRMatrixI(A);
HYPRE_Int *A_j = hypre_CSRMatrixJ(A);
HYPRE_Int num_rows = hypre_CSRMatrixNumRows(A);
HYPRE_Int num_cols = hypre_CSRMatrixNumCols(A);
HYPRE_Complex *x_data = hypre_VectorData(x);
HYPRE_Complex *y_data = hypre_VectorData(y);
HYPRE_Int x_size = hypre_VectorSize(x);
HYPRE_Int y_size = hypre_VectorSize(y);
HYPRE_Complex temp;
HYPRE_Int i, jj;
HYPRE_Int ierr = 0;
/*---------------------------------------------------------------------
* Check for size compatibility. Matvec returns ierr = 1 if
* length of X doesn't equal the number of columns of A,
* ierr = 2 if the length of Y doesn't equal the number of rows
* of A, and ierr = 3 if both are true.
*
* Because temporary vectors are often used in Matvec, none of
* these conditions terminates processing, and the ierr flag
* is informational only.
*--------------------------------------------------------------------*/
if (num_cols != x_size)
ierr = 1;
if (num_rows != y_size)
ierr = 2;
if (num_cols != x_size && num_rows != y_size)
ierr = 3;
/*-----------------------------------------------------------------------
* Do (alpha == 0.0) computation - RDF: USE MACHINE EPS
*-----------------------------------------------------------------------*/
if (alpha == 0.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
if (CF_marker_x[i] == fpt) y_data[i] *= beta;
return ierr;
}
/*-----------------------------------------------------------------------
* y = (beta/alpha)*y
*-----------------------------------------------------------------------*/
temp = beta / alpha;
if (temp != 1.0)
{
if (temp == 0.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
if (CF_marker_x[i] == fpt) y_data[i] = 0.0;
}
else
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
if (CF_marker_x[i] == fpt) y_data[i] *= temp;
}
}
/*-----------------------------------------------------------------
* y += A*x
*-----------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,jj) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
{
if (CF_marker_x[i] == fpt)
{
temp = y_data[i];
for (jj = A_i[i]; jj < A_i[i+1]; jj++)
if (CF_marker_y[A_j[jj]] == fpt) temp += A_data[jj] * x_data[A_j[jj]];
y_data[i] = temp;
}
}
/*-----------------------------------------------------------------
* y = alpha*y
*-----------------------------------------------------------------*/
if (alpha != 1.0)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_rows; i++)
if (CF_marker_x[i] == fpt) y_data[i] *= alpha;
}
return ierr;
}
|
3d7pt.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 8;
tile_size[1] = 8;
tile_size[2] = 8;
tile_size[3] = 2048;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
const double alpha = 0.0876;
const double beta = 0.0765;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,4);t1++) {
lbp=max(ceild(t1,2),ceild(8*t1-Nt+3,8));
ubp=min(floord(Nt+Nz-4,8),floord(4*t1+Nz+1,8));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(t1-1,2)),ceild(8*t2-Nz-4,8));t3<=min(min(min(floord(Nt+Ny-4,8),floord(4*t1+Ny+5,8)),floord(8*t2+Ny+4,8)),floord(8*t1-8*t2+Nz+Ny+3,8));t3++) {
for (t4=max(max(max(0,ceild(t1-511,512)),ceild(8*t2-Nz-2044,2048)),ceild(8*t3-Ny-2044,2048));t4<=min(min(min(min(floord(Nt+Nx-4,2048),floord(4*t1+Nx+5,2048)),floord(8*t2+Nx+4,2048)),floord(8*t3+Nx+4,2048)),floord(8*t1-8*t2+Nz+Nx+3,2048));t4++) {
for (t5=max(max(max(max(max(0,4*t1),8*t1-8*t2+1),8*t2-Nz+2),8*t3-Ny+2),2048*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,4*t1+7),8*t2+6),8*t3+6),2048*t4+2046),8*t1-8*t2+Nz+5);t5++) {
for (t6=max(max(8*t2,t5+1),-8*t1+8*t2+2*t5-7);t6<=min(min(8*t2+7,-8*t1+8*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(8*t3,t5+1);t7<=min(8*t3+7,t5+Ny-2);t7++) {
lbv=max(2048*t4,t5+1);
ubv=min(2048*t4+2047,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = ((alpha * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (beta * (((((A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)] + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1]) + A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays (Causing performance degradation
/* for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
*/
return 0;
}
|
compatibility.h | // -*- C++ -*-
// Copyright (C) 2007, 2008 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library 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.
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
// You should have received a copy of the GNU General Public License
// along with this library; see the file COPYING. If not, write to
// the Free Software Foundation, 59 Temple Place - Suite 330, Boston,
// MA 02111-1307, USA.
// As a special exception, you may use this file as part of a free
// software library without restriction. Specifically, if other files
// instantiate templates or use macros or inline functions from this
// file, or you compile this file and link it with other files to
// produce an executable, this file does not by itself cause the
// resulting executable to be covered by the GNU General Public
// License. This exception does not however invalidate any other
// reasons why the executable file might be covered by the GNU General
// Public License.
/** @file parallel/compatibility.h
* @brief Compatibility layer, mostly concerned with atomic operations.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
// Written by Felix Putze.
#ifndef _GLIBCXX_PARALLEL_COMPATIBILITY_H
#define _GLIBCXX_PARALLEL_COMPATIBILITY_H 1
#include <parallel/types.h>
#include <parallel/base.h>
#if defined(__SUNPRO_CC) && defined(__sparc)
#include <sys/atomic.h>
#endif
#if !defined(_WIN32) || defined (__CYGWIN__)
#include <sched.h>
#endif
#if defined(_MSC_VER)
#include <Windows.h>
#include <intrin.h>
#undef max
#undef min
#endif
#ifdef __MINGW32__
// Including <windows.h> will drag in all the windows32 names. Since
// that can cause user code portability problems, we just declare the
// one needed function here.
extern "C"
__attribute((dllimport)) void __attribute__((stdcall)) Sleep (unsigned long);
#endif
namespace __gnu_parallel
{
#if defined(__ICC)
template<typename must_be_int = int>
int32 faa32(int32* x, int32 inc)
{
asm volatile("lock xadd %0,%1"
: "=r" (inc), "=m" (*x)
: "0" (inc)
: "memory");
return inc;
}
#if defined(__x86_64)
template<typename must_be_int = int>
int64 faa64(int64* x, int64 inc)
{
asm volatile("lock xadd %0,%1"
: "=r" (inc), "=m" (*x)
: "0" (inc)
: "memory");
return inc;
}
#endif
#endif
// atomic functions only work on integers
/** @brief Add a value to a variable, atomically.
*
* Implementation is heavily platform-dependent.
* @param ptr Pointer to a 32-bit signed integer.
* @param addend Value to add.
*/
inline int32
fetch_and_add_32(volatile int32* ptr, int32 addend)
{
#if defined(__ICC) //x86 version
return _InterlockedExchangeAdd((void*)ptr, addend);
#elif defined(__ECC) //IA-64 version
return _InterlockedExchangeAdd((void*)ptr, addend);
#elif defined(__ICL) || defined(_MSC_VER)
return _InterlockedExchangeAdd(reinterpret_cast<volatile long*>(ptr),
addend);
#elif defined(__GNUC__)
return __sync_fetch_and_add(ptr, addend);
#elif defined(__SUNPRO_CC) && defined(__sparc)
volatile int32 before, after;
do
{
before = *ptr;
after = before + addend;
} while (atomic_cas_32((volatile unsigned int*)ptr, before,
after) != before);
return before;
#else //fallback, slow
#pragma message("slow fetch_and_add_32")
int32 res;
#pragma omp critical
{
res = *ptr;
*(ptr) += addend;
}
return res;
#endif
}
/** @brief Add a value to a variable, atomically.
*
* Implementation is heavily platform-dependent.
* @param ptr Pointer to a 64-bit signed integer.
* @param addend Value to add.
*/
inline int64
fetch_and_add_64(volatile int64* ptr, int64 addend)
{
#if defined(__ICC) && defined(__x86_64) //x86 version
return faa64<int>((int64*)ptr, addend);
#elif defined(__ECC) //IA-64 version
return _InterlockedExchangeAdd64((void*)ptr, addend);
#elif defined(__ICL) || defined(_MSC_VER)
#ifndef _WIN64
_GLIBCXX_PARALLEL_ASSERT(false); //not available in this case
return 0;
#else
return _InterlockedExchangeAdd64(ptr, addend);
#endif
#elif defined(__GNUC__) && defined(__x86_64)
return __sync_fetch_and_add(ptr, addend);
#elif defined(__GNUC__) && defined(__i386) && \
(defined(__i686) || defined(__pentium4) || defined(__athlon))
return __sync_fetch_and_add(ptr, addend);
#elif defined(__SUNPRO_CC) && defined(__sparc)
volatile int64 before, after;
do
{
before = *ptr;
after = before + addend;
} while (atomic_cas_64((volatile unsigned long long*)ptr, before,
after) != before);
return before;
#else //fallback, slow
#if defined(__GNUC__) && defined(__i386)
// XXX doesn't work with -march=native
//#warning "please compile with -march=i686 or better"
#endif
#pragma message("slow fetch_and_add_64")
int64 res;
#pragma omp critical
{
res = *ptr;
*(ptr) += addend;
}
return res;
#endif
}
/** @brief Add a value to a variable, atomically.
*
* Implementation is heavily platform-dependent.
* @param ptr Pointer to a signed integer.
* @param addend Value to add.
*/
template<typename T>
inline T
fetch_and_add(volatile T* ptr, T addend)
{
if (sizeof(T) == sizeof(int32))
return (T)fetch_and_add_32((volatile int32*) ptr, (int32)addend);
else if (sizeof(T) == sizeof(int64))
return (T)fetch_and_add_64((volatile int64*) ptr, (int64)addend);
else
_GLIBCXX_PARALLEL_ASSERT(false);
}
#if defined(__ICC)
template<typename must_be_int = int>
inline int32
cas32(volatile int32* ptr, int32 old, int32 nw)
{
int32 before;
__asm__ __volatile__("lock; cmpxchgl %1,%2"
: "=a"(before)
: "q"(nw), "m"(*(volatile long long*)(ptr)), "0"(old)
: "memory");
return before;
}
#if defined(__x86_64)
template<typename must_be_int = int>
inline int64
cas64(volatile int64 *ptr, int64 old, int64 nw)
{
int64 before;
__asm__ __volatile__("lock; cmpxchgq %1,%2"
: "=a"(before)
: "q"(nw), "m"(*(volatile long long*)(ptr)), "0"(old)
: "memory");
return before;
}
#endif
#endif
/** @brief Compare @c *ptr and @c comparand. If equal, let @c
* *ptr=replacement and return @c true, return @c false otherwise.
*
* Implementation is heavily platform-dependent.
* @param ptr Pointer to 32-bit signed integer.
* @param comparand Compare value.
* @param replacement Replacement value.
*/
inline bool
compare_and_swap_32(volatile int32* ptr, int32 comparand, int32 replacement)
{
#if defined(__ICC) //x86 version
return _InterlockedCompareExchange((void*)ptr, replacement,
comparand) == comparand;
#elif defined(__ECC) //IA-64 version
return _InterlockedCompareExchange((void*)ptr, replacement,
comparand) == comparand;
#elif defined(__ICL) || defined(_MSC_VER)
return _InterlockedCompareExchange(reinterpret_cast<volatile long*>(ptr),
replacement, comparand) == comparand;
#elif defined(__GNUC__)
return __sync_bool_compare_and_swap(ptr, comparand, replacement);
#elif defined(__SUNPRO_CC) && defined(__sparc)
return atomic_cas_32((volatile unsigned int*)ptr, comparand,
replacement) == comparand;
#else
#pragma message("slow compare_and_swap_32")
bool res = false;
#pragma omp critical
{
if (*ptr == comparand)
{
*ptr = replacement;
res = true;
}
}
return res;
#endif
}
/** @brief Compare @c *ptr and @c comparand. If equal, let @c
* *ptr=replacement and return @c true, return @c false otherwise.
*
* Implementation is heavily platform-dependent.
* @param ptr Pointer to 64-bit signed integer.
* @param comparand Compare value.
* @param replacement Replacement value.
*/
inline bool
compare_and_swap_64(volatile int64* ptr, int64 comparand, int64 replacement)
{
#if defined(__ICC) && defined(__x86_64) //x86 version
return cas64<int>(ptr, comparand, replacement) == comparand;
#elif defined(__ECC) //IA-64 version
return _InterlockedCompareExchange64((void*)ptr, replacement,
comparand) == comparand;
#elif defined(__ICL) || defined(_MSC_VER)
#ifndef _WIN64
_GLIBCXX_PARALLEL_ASSERT(false); //not available in this case
return 0;
#else
return _InterlockedCompareExchange64(ptr, replacement,
comparand) == comparand;
#endif
#elif defined(__GNUC__) && defined(__x86_64)
return __sync_bool_compare_and_swap(ptr, comparand, replacement);
#elif defined(__GNUC__) && defined(__i386) && \
(defined(__i686) || defined(__pentium4) || defined(__athlon))
return __sync_bool_compare_and_swap(ptr, comparand, replacement);
#elif defined(__SUNPRO_CC) && defined(__sparc)
return atomic_cas_64((volatile unsigned long long*)ptr,
comparand, replacement) == comparand;
#else
#if defined(__GNUC__) && defined(__i386)
// XXX -march=native
//#warning "please compile with -march=i686 or better"
#endif
#pragma message("slow compare_and_swap_64")
bool res = false;
#pragma omp critical
{
if (*ptr == comparand)
{
*ptr = replacement;
res = true;
}
}
return res;
#endif
}
/** @brief Compare @c *ptr and @c comparand. If equal, let @c
* *ptr=replacement and return @c true, return @c false otherwise.
*
* Implementation is heavily platform-dependent.
* @param ptr Pointer to signed integer.
* @param comparand Compare value.
* @param replacement Replacement value. */
template<typename T>
inline bool
compare_and_swap(volatile T* ptr, T comparand, T replacement)
{
if (sizeof(T) == sizeof(int32))
return compare_and_swap_32((volatile int32*) ptr, (int32)comparand, (int32)replacement);
else if (sizeof(T) == sizeof(int64))
return compare_and_swap_64((volatile int64*) ptr, (int64)comparand, (int64)replacement);
else
_GLIBCXX_PARALLEL_ASSERT(false);
}
/** @brief Yield the control to another thread, without waiting for
the end to the time slice. */
inline void
yield()
{
#if defined (_WIN32) && !defined (__CYGWIN__)
Sleep(0);
#else
sched_yield();
#endif
}
} // end namespace
#endif
|
thdat.c | /*
* 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 this list
* of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce this
* list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the
* distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
* CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
* WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
* PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
* OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
* DAMAGE.
*/
#include <config.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <thtk/thtk.h>
#include "program.h"
#include "util.h"
#include "mygetopt.h"
static void
print_usage(
void)
{
printf("Usage: %s [-V] [[-c | -l | -x] VERSION] [ARCHIVE [FILE...]]\n"
"Options:\n"
" -c create an archive\n"
" -l list the contents of an archive\n"
" -x extract an archive\n"
" -V display version information and exit\n"
"VERSION can be:\n"
" 1, 2, 3, 4, 5, 6, 7, 8, 9, 95, 10, 103 (for Uwabami Breakers), 105, 11, 12, 123, 125, 128, 13, 14, 143, 15, 16, 165, 17 or 18\n"
/* NEWHU: */
"Specify 'd' as VERSION to automatically detect archive format. (-l and -x only)\n\n"
"Report bugs to <" PACKAGE_BUGREPORT ">.\n", argv0);
}
static void
print_error(
thtk_error_t* error)
{
fprintf(stderr, "%s:%s\n", argv0, thtk_error_message(error));
}
typedef struct {
thdat_t* thdat;
thtk_io_t* stream;
} thdat_state_t;
static thdat_state_t*
thdat_state_alloc(void)
{
thdat_state_t* state = malloc(sizeof(*state));
state->thdat = NULL;
state->stream = NULL;
return state;
}
static void
thdat_state_free(
thdat_state_t* state)
{
if (state) {
if (state->thdat)
thdat_free(state->thdat);
if (state->stream)
thtk_io_close(state->stream);
free(state);
}
}
static thdat_state_t*
thdat_open_file(
unsigned int version,
const char* path,
thtk_error_t** error)
{
thdat_state_t* state = thdat_state_alloc();
if (!(state->stream = thtk_io_open_file(path, "rb", error))) {
thdat_state_free(state);
return NULL;
}
if (!(state->thdat = thdat_open(version, state->stream, error))) {
thdat_state_free(state);
return NULL;
}
return state;
}
static int
thdat_extract_file(
thdat_state_t* state,
size_t entry_index,
thtk_error_t** error)
{
const char* entry_name;
thtk_io_t* entry_stream;
if (!(entry_name = thdat_entry_get_name(state->thdat, entry_index, error)))
return 0;
// For th105: Make sure that the directory exists
util_makepath(entry_name);
if (!(entry_stream = thtk_io_open_file(entry_name, "wb", error)))
return 0;
if (thdat_entry_read_data(state->thdat, entry_index, entry_stream, error) == -1) {
thtk_io_close(entry_stream);
return 0;
}
printf("%s\n", entry_name);
thtk_io_close(entry_stream);
return 1;
}
static int
thdat_list(
unsigned int version,
const char* path,
thtk_error_t** error)
{
thdat_state_t* state = thdat_open_file(version, path, error);
if(!state) {
return 0;
}
ssize_t entry_count;
struct {
const char* name;
ssize_t size;
ssize_t zsize;
}* entries;
ssize_t e;
int name_width = 4;
if ((entry_count = thdat_entry_count(state->thdat, error)) == -1) {
thdat_state_free(state);
return 0;
}
entries = malloc(entry_count * sizeof(*entries));
#pragma omp parallel /* reduction(max:name_width) */
{
#pragma omp for
for (e = 0; e < entry_count; ++e) {
thtk_error_t* error = NULL;
entries[e].name = thdat_entry_get_name(state->thdat, e, &error);
entries[e].size = thdat_entry_get_size(state->thdat, e, &error);
entries[e].zsize = thdat_entry_get_zsize(state->thdat, e, &error);
if (!entries[e].name || entries[e].size == -1 || entries[e].zsize == -1) {
print_error(error);
thtk_error_free(&error);
continue;
}
int entry_name_width = strlen(entries[e].name);
#pragma omp critical
if (entry_name_width > name_width)
name_width = entry_name_width;
}
}
// th105: Stored = Size
if (version == 105 || version == 123)
printf("%-*s %7s\n", name_width, "Name", "Size");
else
printf("%-*s %7s %7s\n", name_width, "Name", "Size", "Stored");
for (e = 0; e < entry_count; ++e) {
if (version == 105 || version == 123)
printf("%-*s %7zd\n", name_width, entries[e].name, entries[e].size);
else
printf("%-*s %7zd %7zd\n", name_width, entries[e].name, entries[e].size, entries[e].zsize);
}
free(entries);
thdat_state_free(state);
return 1;
}
static int
thdat_create_wrapper(
unsigned int version,
const char* path,
const char** paths,
size_t entry_count,
thtk_error_t** error)
{
thdat_state_t* state = thdat_state_alloc();
char*** entries = calloc(entry_count, sizeof(char**));
char** realpaths;
int* entries_count = calloc(entry_count, sizeof(int));
size_t real_entry_count = 0;
if (!(state->stream = thtk_io_open_file(path, "wb", error))) {
thdat_state_free(state);
exit(1);
}
for (size_t i = 0; i < entry_count; i++) {
int n = util_scan_files(paths[i], &entries[i]);
if (n == -1) {
entries[i] = calloc(1, sizeof(char*));
entries[i][0] = malloc(strlen(paths[i])+1);
strcpy(entries[i][0], paths[i]);
n = 1;
}
entries_count[i] = n;
real_entry_count += n;
}
if (!(state->thdat = thdat_create(version, state->stream, real_entry_count, error))) {
thdat_state_free(state);
exit(1);
}
// Set entry names first...
realpaths = calloc(real_entry_count, sizeof(char*));
size_t k = 0;
for (size_t i = 0; i < entry_count; ++i) {
thtk_error_t* error = NULL;
for (size_t j = 0; j < entries_count[i]; j++) {
if (!thdat_entry_set_name(state->thdat, k, entries[i][j], &error)) {
print_error(error);
thtk_error_free(&error);
continue;
}
realpaths[k] = malloc(strlen(entries[i][j])+1);
strcpy(realpaths[k], entries[i][j]);
k++;
free(entries[i][j]);
}
free(entries[i]);
}
free(entries);
free(entries_count);
// ...and then module->create, if this is th105 archive.
// This is because the list of entries comes first in th105 archives.
if (version == 105 || version == 123) {
if (!thdat_init(state->thdat, error))
{
thdat_state_free(state);
exit(1);
}
}
k = 0;
/* TODO: Properly indicate when insertion fails. */
ssize_t i;
#pragma omp parallel for schedule(dynamic)
for (i = 0; i < real_entry_count; ++i) {
thtk_error_t* error = NULL;
thtk_io_t* entry_stream;
off_t entry_size;
printf("%s...\n", thdat_entry_get_name(state->thdat, i, &error));
// Is entry name set?
if (!(thdat_entry_get_name(state->thdat, i, &error))[0])
continue;
if (!(entry_stream = thtk_io_open_file(realpaths[i], "rb", &error))) {
print_error(error);
thtk_error_free(&error);
continue;
}
if ((entry_size = thtk_io_seek(entry_stream, 0, SEEK_END, &error)) == -1) {
print_error(error);
thtk_error_free(&error);
continue;
}
if (thtk_io_seek(entry_stream, 0, SEEK_SET, &error) == -1) {
print_error(error);
thtk_error_free(&error);
continue;
}
if (thdat_entry_write_data(state->thdat, i, entry_stream, entry_size, &error) == -1) {
print_error(error);
thtk_error_free(&error);
continue;
}
thtk_io_close(entry_stream);
free(realpaths[i]);
}
free(realpaths);
int ret = 1;
if (!thdat_close(state->thdat, error))
ret = 0;
thdat_state_free(state);
return ret;
}
/* TODO: Make sure errors are printed in all cases. */
int
main(
int argc,
char* argv[])
{
thtk_error_t* error = NULL;
unsigned int version = 0;
int mode = -1;
argv0 = util_shortname(argv[0]);
int opt;
int ind=0;
while(argv[util_optind]) {
switch(opt = util_getopt(argc, argv, ":c:l:x:Vd")) {
case 'c':
case 'l':
case 'x':
case 'd':
if(mode != -1) {
fprintf(stderr,"%s: More than one mode specified\n",argv0);
print_usage();
exit(1);
}
mode = opt;
if((opt == 'x' || mode == 'l') && *util_optarg == 'd') {
version = ~0;
}
else if(opt != 'd') version = parse_version(util_optarg);
break;
default:
util_getopt_default(&ind,argv,opt,print_usage);
}
}
argc = ind;
argv[argc] = NULL;
/* detect version */
if(argc && (mode == 'x' || mode == 'l') && version == ~0) {
thtk_io_t* file;
if(!(file = thtk_io_open_file(argv[0], "rb", &error))) {
print_error(error);
thtk_error_free(&error);
exit(1);
}
uint32_t out[4];
unsigned int heur;
printf("Detecting '%s'...\n",argv[0]);
if(-1 == thdat_detect(argv[0], file, out, &heur, &error)) {
thtk_io_close(file);
print_error(error);
thtk_error_free(&error);
exit(1);
}
if(heur == -1) {
const thdat_detect_entry_t* ent;
printf("Couldn't detect version!\nPossible versions: ");
while((ent = thdat_detect_iter(out))) {
printf("%d,",ent->alias);
}
printf("\n");
thtk_io_close(file);
exit(1);
}
else {
printf("Detected version %d\n",heur);
version = heur;
}
thtk_io_close(file);
}
switch (mode) {
case 'd': {
if (argc < 1) {
print_usage();
exit(1);
}
for (int i = 0; i < argc; i++) {
thtk_io_t* file;
if (!(file = thtk_io_open_file(argv[i], "rb", &error))) {
print_error(error);
thtk_error_free(&error);
exit(1);
}
uint32_t out[4];
unsigned int heur;
printf("Detecting '%s'... ",argv[i]);
if (-1 == thdat_detect(argv[i], file, out, &heur, &error)) {
printf("\n");
thtk_io_close(file);
print_error(error);
thtk_error_free(&error);
continue;
}
const thdat_detect_entry_t* ent;
printf("%d | possible versions: ", heur);
while((ent = thdat_detect_iter(out))) {
printf("%d,",ent->alias);
}
printf(" | filename: %d\n", thdat_detect_filename(argv[i]));
thtk_io_close(file);
}
exit(0);
}
case 'l': {
if (argc < 1) {
print_usage();
exit(1);
}
if (!thdat_list(version, argv[0], &error)) {
print_error(error);
thtk_error_free(&error);
exit(1);
}
exit(0);
}
case 'c': {
if (argc < 2) {
print_usage();
exit(1);
}
if (!thdat_create_wrapper(version, argv[0], (const char**)&argv[1], argc - 1, &error)) {
print_error(error);
thtk_error_free(&error);
exit(1);
}
exit(0);
}
case 'x': {
if (argc < 1) {
print_usage();
exit(1);
}
thdat_state_t* state = thdat_open_file(version, argv[0], &error);
if (!state) {
print_error(error);
thtk_error_free(&error);
exit(1);
}
if (argc > 1) {
ssize_t a;
#pragma omp parallel for schedule(dynamic)
for (a = 1; a < argc; ++a) {
thtk_error_t* error = NULL;
int entry_index;
if ((entry_index = thdat_entry_by_name(state->thdat, argv[a], &error)) == -1) {
print_error(error);
thtk_error_free(&error);
continue;
}
if (!thdat_extract_file(state, entry_index, &error)) {
print_error(error);
thtk_error_free(&error);
continue;
}
}
} else {
ssize_t entry_count;
if ((entry_count = thdat_entry_count(state->thdat, &error)) == -1) {
print_error(error);
thtk_error_free(&error);
exit(1);
}
ssize_t entry_index;
#pragma omp parallel for schedule(dynamic)
for (entry_index = 0; entry_index < entry_count; ++entry_index) {
thtk_error_t* error = NULL;
if (!thdat_extract_file(state, entry_index, &error)) {
print_error(error);
thtk_error_free(&error);
continue;
}
}
}
thdat_state_free(state);
exit(0);
}
default:
print_usage();
exit(1);
}
}
|
threshold.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% TTTTT H H RRRR EEEEE SSSSS H H OOO L DDDD %
% T H H R R E SS H H O O L D D %
% T HHHHH RRRR EEE SSS HHHHH O O L D D %
% T H H R R E SS H H O O L D D %
% T H H R R EEEEE SSSSS H H OOO LLLLL DDDD %
% %
% %
% MagickCore Image Threshold Methods %
% %
% Software Design %
% Cristy %
% October 1996 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/artifact.h"
#include "MagickCore/blob.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colormap.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/configure.h"
#include "MagickCore/constitute.h"
#include "MagickCore/decorate.h"
#include "MagickCore/draw.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/effect.h"
#include "MagickCore/fx.h"
#include "MagickCore/gem.h"
#include "MagickCore/gem-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/montage.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/property.h"
#include "MagickCore/quantize.h"
#include "MagickCore/quantum.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/random_.h"
#include "MagickCore/random-private.h"
#include "MagickCore/resize.h"
#include "MagickCore/resource_.h"
#include "MagickCore/segment.h"
#include "MagickCore/shear.h"
#include "MagickCore/signature-private.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/threshold.h"
#include "MagickCore/token.h"
#include "MagickCore/transform.h"
#include "MagickCore/xml-tree.h"
#include "MagickCore/xml-tree-private.h"
/*
Define declarations.
*/
#define ThresholdsFilename "thresholds.xml"
/*
Typedef declarations.
*/
struct _ThresholdMap
{
char
*map_id,
*description;
size_t
width,
height;
ssize_t
divisor,
*levels;
};
/*
Static declarations.
*/
#if MAGICKCORE_ZERO_CONFIGURATION_SUPPORT
#include "MagickCore/threshold-map.h"
#else
static const char *const
BuiltinMap=
"<?xml version=\"1.0\"?>"
"<thresholds>"
" <threshold map=\"threshold\" alias=\"1x1\">"
" <description>Threshold 1x1 (non-dither)</description>"
" <levels width=\"1\" height=\"1\" divisor=\"2\">"
" 1"
" </levels>"
" </threshold>"
" <threshold map=\"checks\" alias=\"2x1\">"
" <description>Checkerboard 2x1 (dither)</description>"
" <levels width=\"2\" height=\"2\" divisor=\"3\">"
" 1 2"
" 2 1"
" </levels>"
" </threshold>"
"</thresholds>";
#endif
/*
Forward declarations.
*/
static ThresholdMap
*GetThresholdMapFile(const char *,const char *,const char *,ExceptionInfo *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d a p t i v e T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AdaptiveThresholdImage() selects an individual threshold for each pixel
% based on the range of intensity values in its local neighborhood. This
% allows for thresholding of an image whose global intensity histogram
% doesn't contain distinctive peaks.
%
% The format of the AdaptiveThresholdImage method is:
%
% Image *AdaptiveThresholdImage(const Image *image,const size_t width,
% const size_t height,const double bias,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o width: the width of the local neighborhood.
%
% o height: the height of the local neighborhood.
%
% o bias: the mean bias.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AdaptiveThresholdImage(const Image *image,
const size_t width,const size_t height,const double bias,
ExceptionInfo *exception)
{
#define AdaptiveThresholdImageTag "AdaptiveThreshold/Image"
CacheView
*image_view,
*threshold_view;
Image
*threshold_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickSizeType
number_pixels;
ssize_t
y;
/*
Initialize threshold 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);
threshold_image=CloneImage(image,0,0,MagickTrue,exception);
if (threshold_image == (Image *) NULL)
return((Image *) NULL);
if ((width == 0) || (height == 0))
return(threshold_image);
status=SetImageStorageClass(threshold_image,DirectClass,exception);
if (status == MagickFalse)
{
threshold_image=DestroyImage(threshold_image);
return((Image *) NULL);
}
/*
Threshold image.
*/
status=MagickTrue;
progress=0;
number_pixels=(MagickSizeType) width*height;
image_view=AcquireVirtualCacheView(image,exception);
threshold_view=AcquireAuthenticCacheView(threshold_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,threshold_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
channel_bias[MaxPixelChannels],
channel_sum[MaxPixelChannels];
const Quantum
*magick_restrict p,
*magick_restrict pixels;
Quantum
*magick_restrict q;
ssize_t
i,
x;
ssize_t
center,
u,
v;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) width/2L),y-(ssize_t)
(height/2L),image->columns+width,height,exception);
q=QueueCacheViewAuthenticPixels(threshold_view,0,y,threshold_image->columns,
1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
center=(ssize_t) GetPixelChannels(image)*(image->columns+width)*(height/2L)+
GetPixelChannels(image)*(width/2);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait threshold_traits=GetPixelChannelTraits(threshold_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(threshold_traits == UndefinedPixelTrait))
continue;
if ((threshold_traits & CopyPixelTrait) != 0)
{
SetPixelChannel(threshold_image,channel,p[center+i],q);
continue;
}
pixels=p;
channel_bias[channel]=0.0;
channel_sum[channel]=0.0;
for (v=0; v < (ssize_t) height; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
if (u == (ssize_t) (width-1))
channel_bias[channel]+=pixels[i];
channel_sum[channel]+=pixels[i];
pixels+=GetPixelChannels(image);
}
pixels+=GetPixelChannels(image)*image->columns;
}
}
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
mean;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait threshold_traits=GetPixelChannelTraits(threshold_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(threshold_traits == UndefinedPixelTrait))
continue;
if ((threshold_traits & CopyPixelTrait) != 0)
{
SetPixelChannel(threshold_image,channel,p[center+i],q);
continue;
}
channel_sum[channel]-=channel_bias[channel];
channel_bias[channel]=0.0;
pixels=p;
for (v=0; v < (ssize_t) height; v++)
{
channel_bias[channel]+=pixels[i];
pixels+=(width-1)*GetPixelChannels(image);
channel_sum[channel]+=pixels[i];
pixels+=GetPixelChannels(image)*(image->columns+1);
}
mean=(double) (channel_sum[channel]/number_pixels+bias);
SetPixelChannel(threshold_image,channel,(Quantum) ((double)
p[center+i] <= mean ? 0 : QuantumRange),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(threshold_image);
}
if (SyncCacheViewAuthenticPixels(threshold_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,AdaptiveThresholdImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
threshold_image->type=image->type;
threshold_view=DestroyCacheView(threshold_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
threshold_image=DestroyImage(threshold_image);
return(threshold_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoThresholdImage() automatically performs image thresholding
% dependent on which method you specify.
%
% The format of the AutoThresholdImage method is:
%
% MagickBooleanType AutoThresholdImage(Image *image,
% const AutoThresholdMethod method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image to auto-threshold.
%
% o method: choose from Kapur, OTSU, or Triangle.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double KapurThreshold(const Image *image,const double *histogram,
ExceptionInfo *exception)
{
#define MaxIntensity 255
double
*black_entropy,
*cumulative_histogram,
entropy,
epsilon,
maximum_entropy,
*white_entropy;
ssize_t
i,
j;
size_t
threshold;
/*
Compute optimal threshold from the entopy of the histogram.
*/
cumulative_histogram=(double *) AcquireQuantumMemory(MaxIntensity+1UL,
sizeof(*cumulative_histogram));
black_entropy=(double *) AcquireQuantumMemory(MaxIntensity+1UL,
sizeof(*black_entropy));
white_entropy=(double *) AcquireQuantumMemory(MaxIntensity+1UL,
sizeof(*white_entropy));
if ((cumulative_histogram == (double *) NULL) ||
(black_entropy == (double *) NULL) || (white_entropy == (double *) NULL))
{
if (white_entropy != (double *) NULL)
white_entropy=(double *) RelinquishMagickMemory(white_entropy);
if (black_entropy != (double *) NULL)
black_entropy=(double *) RelinquishMagickMemory(black_entropy);
if (cumulative_histogram != (double *) NULL)
cumulative_histogram=(double *)
RelinquishMagickMemory(cumulative_histogram);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(-1.0);
}
/*
Entropy for black and white parts of the histogram.
*/
cumulative_histogram[0]=histogram[0];
for (i=1; i <= MaxIntensity; i++)
cumulative_histogram[i]=cumulative_histogram[i-1]+histogram[i];
epsilon=MagickMinimumValue;
for (j=0; j <= MaxIntensity; j++)
{
/*
Black entropy.
*/
black_entropy[j]=0.0;
if (cumulative_histogram[j] > epsilon)
{
entropy=0.0;
for (i=0; i <= j; i++)
if (histogram[i] > epsilon)
entropy-=histogram[i]/cumulative_histogram[j]*
log(histogram[i]/cumulative_histogram[j]);
black_entropy[j]=entropy;
}
/*
White entropy.
*/
white_entropy[j]=0.0;
if ((1.0-cumulative_histogram[j]) > epsilon)
{
entropy=0.0;
for (i=j+1; i <= MaxIntensity; i++)
if (histogram[i] > epsilon)
entropy-=histogram[i]/(1.0-cumulative_histogram[j])*
log(histogram[i]/(1.0-cumulative_histogram[j]));
white_entropy[j]=entropy;
}
}
/*
Find histogram bin with maximum entropy.
*/
maximum_entropy=black_entropy[0]+white_entropy[0];
threshold=0;
for (j=1; j <= MaxIntensity; j++)
if ((black_entropy[j]+white_entropy[j]) > maximum_entropy)
{
maximum_entropy=black_entropy[j]+white_entropy[j];
threshold=(size_t) j;
}
/*
Free resources.
*/
white_entropy=(double *) RelinquishMagickMemory(white_entropy);
black_entropy=(double *) RelinquishMagickMemory(black_entropy);
cumulative_histogram=(double *) RelinquishMagickMemory(cumulative_histogram);
return(100.0*threshold/MaxIntensity);
}
static double OTSUThreshold(const Image *image,const double *histogram,
ExceptionInfo *exception)
{
double
max_sigma,
*myu,
*omega,
*probability,
*sigma,
threshold;
ssize_t
i;
/*
Compute optimal threshold from maximization of inter-class variance.
*/
myu=(double *) AcquireQuantumMemory(MaxIntensity+1UL,sizeof(*myu));
omega=(double *) AcquireQuantumMemory(MaxIntensity+1UL,sizeof(*omega));
probability=(double *) AcquireQuantumMemory(MaxIntensity+1UL,
sizeof(*probability));
sigma=(double *) AcquireQuantumMemory(MaxIntensity+1UL,sizeof(*sigma));
if ((myu == (double *) NULL) || (omega == (double *) NULL) ||
(probability == (double *) NULL) || (sigma == (double *) NULL))
{
if (sigma != (double *) NULL)
sigma=(double *) RelinquishMagickMemory(sigma);
if (probability != (double *) NULL)
probability=(double *) RelinquishMagickMemory(probability);
if (omega != (double *) NULL)
omega=(double *) RelinquishMagickMemory(omega);
if (myu != (double *) NULL)
myu=(double *) RelinquishMagickMemory(myu);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(-1.0);
}
/*
Calculate probability density.
*/
for (i=0; i <= (ssize_t) MaxIntensity; i++)
probability[i]=histogram[i];
/*
Generate probability of graylevels and mean value for separation.
*/
omega[0]=probability[0];
myu[0]=0.0;
for (i=1; i <= (ssize_t) MaxIntensity; i++)
{
omega[i]=omega[i-1]+probability[i];
myu[i]=myu[i-1]+i*probability[i];
}
/*
Sigma maximization: inter-class variance and compute optimal threshold.
*/
threshold=0;
max_sigma=0.0;
for (i=0; i < (ssize_t) MaxIntensity; i++)
{
sigma[i]=0.0;
if ((omega[i] != 0.0) && (omega[i] != 1.0))
sigma[i]=pow(myu[MaxIntensity]*omega[i]-myu[i],2.0)/(omega[i]*(1.0-
omega[i]));
if (sigma[i] > max_sigma)
{
max_sigma=sigma[i];
threshold=(double) i;
}
}
/*
Free resources.
*/
myu=(double *) RelinquishMagickMemory(myu);
omega=(double *) RelinquishMagickMemory(omega);
probability=(double *) RelinquishMagickMemory(probability);
sigma=(double *) RelinquishMagickMemory(sigma);
return(100.0*threshold/MaxIntensity);
}
static double TriangleThreshold(const double *histogram)
{
double
a,
b,
c,
count,
distance,
inverse_ratio,
max_distance,
segment,
x1,
x2,
y1,
y2;
ssize_t
i;
ssize_t
end,
max,
start,
threshold;
/*
Compute optimal threshold with triangle algorithm.
*/
start=0; /* find start bin, first bin not zero count */
for (i=0; i <= (ssize_t) MaxIntensity; i++)
if (histogram[i] > 0.0)
{
start=i;
break;
}
end=0; /* find end bin, last bin not zero count */
for (i=(ssize_t) MaxIntensity; i >= 0; i--)
if (histogram[i] > 0.0)
{
end=i;
break;
}
max=0; /* find max bin, bin with largest count */
count=0.0;
for (i=0; i <= (ssize_t) MaxIntensity; i++)
if (histogram[i] > count)
{
max=i;
count=histogram[i];
}
/*
Compute threshold at split point.
*/
x1=(double) max;
y1=histogram[max];
x2=(double) end;
if ((max-start) >= (end-max))
x2=(double) start;
y2=0.0;
a=y1-y2;
b=x2-x1;
c=(-1.0)*(a*x1+b*y1);
inverse_ratio=1.0/sqrt(a*a+b*b+c*c);
threshold=0;
max_distance=0.0;
if (x2 == (double) start)
for (i=start; i < max; i++)
{
segment=inverse_ratio*(a*i+b*histogram[i]+c);
distance=sqrt(segment*segment);
if ((distance > max_distance) && (segment > 0.0))
{
threshold=i;
max_distance=distance;
}
}
else
for (i=end; i > max; i--)
{
segment=inverse_ratio*(a*i+b*histogram[i]+c);
distance=sqrt(segment*segment);
if ((distance > max_distance) && (segment < 0.0))
{
threshold=i;
max_distance=distance;
}
}
return(100.0*threshold/MaxIntensity);
}
MagickExport MagickBooleanType AutoThresholdImage(Image *image,
const AutoThresholdMethod method,ExceptionInfo *exception)
{
CacheView
*image_view;
char
property[MagickPathExtent];
double
gamma,
*histogram,
sum,
threshold;
MagickBooleanType
status;
ssize_t
i;
ssize_t
y;
/*
Form histogram.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
histogram=(double *) AcquireQuantumMemory(MaxIntensity+1UL,
sizeof(*histogram));
if (histogram == (double *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=MagickTrue;
(void) memset(histogram,0,(MaxIntensity+1UL)*sizeof(*histogram));
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
const Quantum
*magick_restrict p;
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++)
{
double intensity = GetPixelIntensity(image,p);
histogram[ScaleQuantumToChar(ClampToQuantum(intensity))]++;
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Normalize histogram.
*/
sum=0.0;
for (i=0; i <= (ssize_t) MaxIntensity; i++)
sum+=histogram[i];
gamma=PerceptibleReciprocal(sum);
for (i=0; i <= (ssize_t) MaxIntensity; i++)
histogram[i]=gamma*histogram[i];
/*
Discover threshold from histogram.
*/
switch (method)
{
case KapurThresholdMethod:
{
threshold=KapurThreshold(image,histogram,exception);
break;
}
case OTSUThresholdMethod:
default:
{
threshold=OTSUThreshold(image,histogram,exception);
break;
}
case TriangleThresholdMethod:
{
threshold=TriangleThreshold(histogram);
break;
}
}
histogram=(double *) RelinquishMagickMemory(histogram);
if (threshold < 0.0)
status=MagickFalse;
if (status == MagickFalse)
return(MagickFalse);
/*
Threshold image.
*/
(void) FormatLocaleString(property,MagickPathExtent,"%g%%",threshold);
(void) SetImageProperty(image,"auto-threshold:threshold",property,exception);
if (IsStringTrue(GetImageArtifact(image,"auto-threshold:verbose")) != MagickFalse)
(void) FormatLocaleFile(stdout,"%.*g%%\n",GetMagickPrecision(),threshold);
return(BilevelImage(image,QuantumRange*threshold/100.0,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B i l e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BilevelImage() changes the value of individual pixels based on the
% intensity of each pixel channel. The result is a high-contrast image.
%
% More precisely each channel value of the image is 'thresholded' so that if
% it is equal to or less than the given value it is set to zero, while any
% value greater than that give is set to it maximum or QuantumRange.
%
% This function is what is used to implement the "-threshold" operator for
% the command line API.
%
% If the default channel setting is given the image is thresholded using just
% the gray 'intensity' of the image, rather than the individual channels.
%
% The format of the BilevelImage method is:
%
% MagickBooleanType BilevelImage(Image *image,const double threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: define the threshold values.
%
% o exception: return any errors or warnings in this structure.
%
% Aside: You can get the same results as operator using LevelImages()
% with the 'threshold' value for both the black_point and the white_point.
%
*/
MagickExport MagickBooleanType BilevelImage(Image *image,const double threshold,
ExceptionInfo *exception)
{
#define ThresholdImageTag "Threshold/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 (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if (IsGrayColorspace(image->colorspace) == MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace,exception);
/*
Bilevel threshold 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;
Quantum
*magick_restrict q;
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
pixel;
ssize_t
i;
pixel=GetPixelIntensity(image,q);
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 (image->channel_mask != DefaultChannels)
pixel=(double) q[i];
q[i]=(Quantum) (pixel <= threshold ? 0 : QuantumRange);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ThresholdImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B l a c k T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BlackThresholdImage() is like ThresholdImage() but forces all pixels below
% the threshold into black while leaving all pixels at or above the threshold
% unchanged.
%
% The format of the BlackThresholdImage method is:
%
% MagickBooleanType BlackThresholdImage(Image *image,
% const char *threshold,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: define the threshold value.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType BlackThresholdImage(Image *image,
const char *thresholds,ExceptionInfo *exception)
{
#define ThresholdImageTag "Threshold/Image"
CacheView
*image_view;
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
threshold;
MagickStatusType
flags;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (thresholds == (const char *) NULL)
return(MagickTrue);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace,exception);
GetPixelInfo(image,&threshold);
flags=ParseGeometry(thresholds,&geometry_info);
threshold.red=geometry_info.rho;
threshold.green=geometry_info.rho;
threshold.blue=geometry_info.rho;
threshold.black=geometry_info.rho;
threshold.alpha=100.0;
if ((flags & SigmaValue) != 0)
threshold.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
threshold.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
threshold.alpha=geometry_info.psi;
if (threshold.colorspace == CMYKColorspace)
{
if ((flags & PsiValue) != 0)
threshold.black=geometry_info.psi;
if ((flags & ChiValue) != 0)
threshold.alpha=geometry_info.chi;
}
if ((flags & PercentValue) != 0)
{
threshold.red*=(MagickRealType) (QuantumRange/100.0);
threshold.green*=(MagickRealType) (QuantumRange/100.0);
threshold.blue*=(MagickRealType) (QuantumRange/100.0);
threshold.black*=(MagickRealType) (QuantumRange/100.0);
threshold.alpha*=(MagickRealType) (QuantumRange/100.0);
}
/*
White threshold 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;
Quantum
*magick_restrict q;
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
pixel;
ssize_t
i;
pixel=GetPixelIntensity(image,q);
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 (image->channel_mask != DefaultChannels)
pixel=(double) q[i];
if (pixel < GetPixelInfoChannel(&threshold,channel))
q[i]=(Quantum) 0;
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ThresholdImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l a m p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClampImage() set each pixel whose value is below zero to zero and any the
% pixel whose value is above the quantum range to the quantum range (e.g.
% 65535) otherwise the pixel value remains unchanged.
%
% The format of the ClampImage method is:
%
% MagickBooleanType ClampImage(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 ClampImage(Image *image,ExceptionInfo *exception)
{
#define ClampImageTag "Clamp/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)
{
ssize_t
i;
PixelInfo
*magick_restrict q;
q=image->colormap;
for (i=0; i < (ssize_t) image->colors; i++)
{
q->red=(double) ClampPixel(q->red);
q->green=(double) ClampPixel(q->green);
q->blue=(double) ClampPixel(q->blue);
q->alpha=(double) ClampPixel(q->alpha);
q++;
}
return(SyncImage(image,exception));
}
/*
Clamp 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;
Quantum
*magick_restrict q;
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++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampPixel((MagickRealType) 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 atomic
#endif
progress++;
proceed=SetImageProgress(image,ClampImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorThresholdImage() forces all pixels in the color range to white
% otherwise black.
%
% The format of the ColorThresholdImage method is:
%
% MagickBooleanType ColorThresholdImage(Image *image,
% const PixelInfo *start_color,const PixelInfo *stop_color,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o start_color, stop_color: define the start and stop color range. Any
% pixel within the range returns white otherwise black.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ColorThresholdImage(Image *image,
const PixelInfo *start_color,const PixelInfo *stop_color,
ExceptionInfo *exception)
{
#define ThresholdImageTag "Threshold/Image"
CacheView
*image_view;
const char
*artifact;
IlluminantType
illuminant = D65Illuminant;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
start,
stop;
ssize_t
y;
/*
Color threshold image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=AcquireImageColormap(image,2,exception);
if (status == MagickFalse)
return(status);
artifact=GetImageArtifact(image,"color:illuminant");
if (artifact != (const char *) NULL)
{
illuminant=(IlluminantType) ParseCommandOption(MagickIlluminantOptions,
MagickFalse,artifact);
if ((ssize_t) illuminant < 0)
illuminant=UndefinedIlluminant;
}
start=(*start_color);
stop=(*stop_color);
switch (image->colorspace)
{
case HCLColorspace:
{
ConvertRGBToHCL(start_color->red,start_color->green,start_color->blue,
&start.red,&start.green,&start.blue);
ConvertRGBToHCL(stop_color->red,stop_color->green,stop_color->blue,
&stop.red,&stop.green,&stop.blue);
break;
}
case HSBColorspace:
{
ConvertRGBToHSB(start_color->red,start_color->green,start_color->blue,
&start.red,&start.green,&start.blue);
ConvertRGBToHSB(stop_color->red,stop_color->green,stop_color->blue,
&stop.red,&stop.green,&stop.blue);
break;
}
case HSLColorspace:
{
ConvertRGBToHSL(start_color->red,start_color->green,start_color->blue,
&start.red,&start.green,&start.blue);
ConvertRGBToHSL(stop_color->red,stop_color->green,stop_color->blue,
&stop.red,&stop.green,&stop.blue);
break;
}
case HSVColorspace:
{
ConvertRGBToHSV(start_color->red,start_color->green,start_color->blue,
&start.red,&start.green,&start.blue);
ConvertRGBToHSV(stop_color->red,stop_color->green,stop_color->blue,
&stop.red,&stop.green,&stop.blue);
break;
}
case HWBColorspace:
{
ConvertRGBToHWB(start_color->red,start_color->green,start_color->blue,
&start.red,&start.green,&start.blue);
ConvertRGBToHWB(stop_color->red,stop_color->green,stop_color->blue,
&stop.red,&stop.green,&stop.blue);
break;
}
case LabColorspace:
{
ConvertRGBToLab(start_color->red,start_color->green,start_color->blue,
illuminant,&start.red,&start.green,&start.blue);
ConvertRGBToLab(stop_color->red,stop_color->green,stop_color->blue,
illuminant,&stop.red,&stop.green,&stop.blue);
break;
}
default:
{
start.red*=QuantumScale;
start.green*=QuantumScale;
start.blue*=QuantumScale;
stop.red*=QuantumScale;
stop.green*=QuantumScale;
stop.blue*=QuantumScale;
break;
}
}
start.red*=QuantumRange;
start.green*=QuantumRange;
start.blue*=QuantumRange;
stop.red*=QuantumRange;
stop.green*=QuantumRange;
stop.blue*=QuantumRange;
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;
Quantum
*magick_restrict q;
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++)
{
MagickBooleanType
foreground = MagickTrue;
ssize_t
i;
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 ((q[i] < GetPixelInfoChannel(&start,channel)) ||
(q[i] > GetPixelInfoChannel(&stop,channel)))
foreground=MagickFalse;
}
SetPixelIndex(image,(Quantum) (foreground != MagickFalse ? 1 : 0),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ThresholdImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
image->colorspace=sRGBColorspace;
return(SyncImage(image,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y T h r e s h o l d M a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyThresholdMap() de-allocate the given ThresholdMap
%
% The format of the ListThresholdMaps method is:
%
% ThresholdMap *DestroyThresholdMap(Threshold *map)
%
% A description of each parameter follows.
%
% o map: Pointer to the Threshold map to destroy
%
*/
MagickExport ThresholdMap *DestroyThresholdMap(ThresholdMap *map)
{
assert(map != (ThresholdMap *) NULL);
if (map->map_id != (char *) NULL)
map->map_id=DestroyString(map->map_id);
if (map->description != (char *) NULL)
map->description=DestroyString(map->description);
if (map->levels != (ssize_t *) NULL)
map->levels=(ssize_t *) RelinquishMagickMemory(map->levels);
map=(ThresholdMap *) RelinquishMagickMemory(map);
return(map);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t T h r e s h o l d M a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetThresholdMap() loads and searches one or more threshold map files for the
% map matching the given name or alias.
%
% The format of the GetThresholdMap method is:
%
% ThresholdMap *GetThresholdMap(const char *map_id,
% ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o map_id: ID of the map to look for.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ThresholdMap *GetThresholdMap(const char *map_id,
ExceptionInfo *exception)
{
ThresholdMap
*map;
map=GetThresholdMapFile(BuiltinMap,"built-in",map_id,exception);
if (map != (ThresholdMap *) NULL)
return(map);
#if !MAGICKCORE_ZERO_CONFIGURATION_SUPPORT
{
const StringInfo
*option;
LinkedListInfo
*options;
options=GetConfigureOptions(ThresholdsFilename,exception);
option=(const StringInfo *) GetNextValueInLinkedList(options);
while (option != (const StringInfo *) NULL)
{
map=GetThresholdMapFile((const char *) GetStringInfoDatum(option),
GetStringInfoPath(option),map_id,exception);
if (map != (ThresholdMap *) NULL)
break;
option=(const StringInfo *) GetNextValueInLinkedList(options);
}
options=DestroyConfigureOptions(options);
}
#endif
return(map);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t T h r e s h o l d M a p F i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetThresholdMapFile() look for a given threshold map name or alias in the
% given XML file data, and return the allocated the map when found.
%
% The format of the ListThresholdMaps method is:
%
% ThresholdMap *GetThresholdMap(const char *xml,const char *filename,
% const char *map_id,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o xml: The threshold map list in XML format.
%
% o filename: The threshold map XML filename.
%
% o map_id: ID of the map to look for in XML list.
%
% o exception: return any errors or warnings in this structure.
%
*/
static ThresholdMap *GetThresholdMapFile(const char *xml,const char *filename,
const char *map_id,ExceptionInfo *exception)
{
char
*p;
const char
*attribute,
*content;
double
value;
ssize_t
i;
ThresholdMap
*map;
XMLTreeInfo
*description,
*levels,
*threshold,
*thresholds;
(void) LogMagickEvent(ConfigureEvent,GetMagickModule(),
"Loading threshold map file \"%s\" ...",filename);
map=(ThresholdMap *) NULL;
thresholds=NewXMLTree(xml,exception);
if (thresholds == (XMLTreeInfo *) NULL)
return(map);
for (threshold=GetXMLTreeChild(thresholds,"threshold");
threshold != (XMLTreeInfo *) NULL;
threshold=GetNextXMLTreeTag(threshold))
{
attribute=GetXMLTreeAttribute(threshold,"map");
if ((attribute != (char *) NULL) && (LocaleCompare(map_id,attribute) == 0))
break;
attribute=GetXMLTreeAttribute(threshold,"alias");
if ((attribute != (char *) NULL) && (LocaleCompare(map_id,attribute) == 0))
break;
}
if (threshold == (XMLTreeInfo *) NULL)
{
thresholds=DestroyXMLTree(thresholds);
return(map);
}
description=GetXMLTreeChild(threshold,"description");
if (description == (XMLTreeInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingElement", "<description>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
return(map);
}
levels=GetXMLTreeChild(threshold,"levels");
if (levels == (XMLTreeInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingElement", "<levels>, map \"%s\"", map_id);
thresholds=DestroyXMLTree(thresholds);
return(map);
}
map=(ThresholdMap *) AcquireCriticalMemory(sizeof(*map));
map->map_id=(char *) NULL;
map->description=(char *) NULL;
map->levels=(ssize_t *) NULL;
attribute=GetXMLTreeAttribute(threshold,"map");
if (attribute != (char *) NULL)
map->map_id=ConstantString(attribute);
content=GetXMLTreeContent(description);
if (content != (char *) NULL)
map->description=ConstantString(content);
attribute=GetXMLTreeAttribute(levels,"width");
if (attribute == (char *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingAttribute", "<levels width>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
map->width=StringToUnsignedLong(attribute);
if (map->width == 0)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlInvalidAttribute", "<levels width>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
attribute=GetXMLTreeAttribute(levels,"height");
if (attribute == (char *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingAttribute", "<levels height>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
map->height=StringToUnsignedLong(attribute);
if (map->height == 0)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlInvalidAttribute", "<levels height>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
attribute=GetXMLTreeAttribute(levels,"divisor");
if (attribute == (char *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingAttribute", "<levels divisor>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
map->divisor=(ssize_t) StringToLong(attribute);
if (map->divisor < 2)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlInvalidAttribute", "<levels divisor>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
content=GetXMLTreeContent(levels);
if (content == (char *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingContent", "<levels>, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
map->levels=(ssize_t *) AcquireQuantumMemory((size_t) map->width,map->height*
sizeof(*map->levels));
if (map->levels == (ssize_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"UnableToAcquireThresholdMap");
for (i=0; i < (ssize_t) (map->width*map->height); i++)
{
map->levels[i]=(ssize_t) strtol(content,&p,10);
if (p == content)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlInvalidContent", "<level> too few values, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
if ((map->levels[i] < 0) || (map->levels[i] > map->divisor))
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlInvalidContent", "<level> %.20g out of range, map \"%s\"",
(double) map->levels[i],map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
content=p;
}
value=(double) strtol(content,&p,10);
(void) value;
if (p != content)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlInvalidContent", "<level> too many values, map \"%s\"",map_id);
thresholds=DestroyXMLTree(thresholds);
map=DestroyThresholdMap(map);
return(map);
}
thresholds=DestroyXMLTree(thresholds);
return(map);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ L i s t T h r e s h o l d M a p F i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ListThresholdMapFile() lists the threshold maps and their descriptions
% in the given XML file data.
%
% The format of the ListThresholdMaps method is:
%
% MagickBooleanType ListThresholdMaps(FILE *file,const char*xml,
% const char *filename,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o file: An pointer to the output FILE.
%
% o xml: The threshold map list in XML format.
%
% o filename: The threshold map XML filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickBooleanType ListThresholdMapFile(FILE *file,const char *xml,
const char *filename,ExceptionInfo *exception)
{
const char
*alias,
*content,
*map;
XMLTreeInfo
*description,
*threshold,
*thresholds;
assert( xml != (char *) NULL );
assert( file != (FILE *) NULL );
(void) LogMagickEvent(ConfigureEvent,GetMagickModule(),
"Loading threshold map file \"%s\" ...",filename);
thresholds=NewXMLTree(xml,exception);
if ( thresholds == (XMLTreeInfo *) NULL )
return(MagickFalse);
(void) FormatLocaleFile(file,"%-16s %-12s %s\n","Map","Alias","Description");
(void) FormatLocaleFile(file,
"----------------------------------------------------\n");
threshold=GetXMLTreeChild(thresholds,"threshold");
for ( ; threshold != (XMLTreeInfo *) NULL;
threshold=GetNextXMLTreeTag(threshold))
{
map=GetXMLTreeAttribute(threshold,"map");
if (map == (char *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingAttribute", "<map>");
thresholds=DestroyXMLTree(thresholds);
return(MagickFalse);
}
alias=GetXMLTreeAttribute(threshold,"alias");
description=GetXMLTreeChild(threshold,"description");
if (description == (XMLTreeInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingElement", "<description>, map \"%s\"",map);
thresholds=DestroyXMLTree(thresholds);
return(MagickFalse);
}
content=GetXMLTreeContent(description);
if (content == (char *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"XmlMissingContent", "<description>, map \"%s\"", map);
thresholds=DestroyXMLTree(thresholds);
return(MagickFalse);
}
(void) FormatLocaleFile(file,"%-16s %-12s %s\n",map,alias ? alias : "",
content);
}
thresholds=DestroyXMLTree(thresholds);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i s t T h r e s h o l d M a p s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ListThresholdMaps() lists the threshold maps and their descriptions
% as defined by "threshold.xml" to a file.
%
% The format of the ListThresholdMaps method is:
%
% MagickBooleanType ListThresholdMaps(FILE *file,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o file: An pointer to the output FILE.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ListThresholdMaps(FILE *file,
ExceptionInfo *exception)
{
const StringInfo
*option;
LinkedListInfo
*options;
MagickStatusType
status;
status=MagickTrue;
if (file == (FILE *) NULL)
file=stdout;
options=GetConfigureOptions(ThresholdsFilename,exception);
(void) FormatLocaleFile(file,
"\n Threshold Maps for Ordered Dither Operations\n");
option=(const StringInfo *) GetNextValueInLinkedList(options);
while (option != (const StringInfo *) NULL)
{
(void) FormatLocaleFile(file,"\nPath: %s\n\n",GetStringInfoPath(option));
status&=ListThresholdMapFile(file,(const char *) GetStringInfoDatum(option),
GetStringInfoPath(option),exception);
option=(const StringInfo *) GetNextValueInLinkedList(options);
}
options=DestroyConfigureOptions(options);
return(status != 0 ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% O r d e r e d D i t h e r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OrderedDitherImage() will perform a ordered dither based on a number
% of pre-defined dithering threshold maps, but over multiple intensity
% levels, which can be different for different channels, according to the
% input argument.
%
% The format of the OrderedDitherImage method is:
%
% MagickBooleanType OrderedDitherImage(Image *image,
% const char *threshold_map,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold_map: A string containing the name of the threshold dither
% map to use, followed by zero or more numbers representing the number
% of color levels to dither between.
%
% Any level number less than 2 will be equivalent to 2, and means only
% binary dithering will be applied to each color channel.
%
% No numbers also means a 2 level (bitmap) dither will be applied to all
% channels, while a single number is the number of levels applied to each
% channel in sequence. More numbers will be applied in turn to each of
% the color channels.
%
% For example: "o3x3,6" will generate a 6 level posterization of the
% image with an ordered 3x3 diffused pixel dither being applied between
% each level. While checker,8,8,4 will produce a 332 colormaped image
% with only a single checkerboard hash pattern (50% grey) between each
% color level, to basically double the number of color levels with
% a bare minimim of dithering.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType OrderedDitherImage(Image *image,
const char *threshold_map,ExceptionInfo *exception)
{
#define DitherImageTag "Dither/Image"
CacheView
*image_view;
char
token[MagickPathExtent];
const char
*p;
double
levels[CompositePixelChannel];
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
i,
y;
ThresholdMap
*map;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (threshold_map == (const char *) NULL)
return(MagickTrue);
p=(char *) threshold_map;
while (((isspace((int) ((unsigned char) *p)) != 0) || (*p == ',')) &&
(*p != '\0'))
p++;
threshold_map=p;
while (((isspace((int) ((unsigned char) *p)) == 0) && (*p != ',')) &&
(*p != '\0'))
{
if ((p-threshold_map) >= (MagickPathExtent-1))
break;
token[p-threshold_map]=(*p);
p++;
}
token[p-threshold_map]='\0';
map=GetThresholdMap(token,exception);
if (map == (ThresholdMap *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"InvalidArgument","%s : '%s'","ordered-dither",threshold_map);
return(MagickFalse);
}
for (i=0; i < MaxPixelChannels; i++)
levels[i]=2.0;
p=strchr((char *) threshold_map,',');
if ((p != (char *) NULL) && (isdigit((int) ((unsigned char) *(++p))) != 0))
{
(void) GetNextToken(p,&p,MagickPathExtent,token);
for (i=0; (i < MaxPixelChannels); i++)
levels[i]=StringToDouble(token,(char **) NULL);
for (i=0; (*p != '\0') && (i < MaxPixelChannels); i++)
{
(void) GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
(void) GetNextToken(p,&p,MagickPathExtent,token);
levels[i]=StringToDouble(token,(char **) NULL);
}
}
for (i=0; i < MaxPixelChannels; i++)
if (fabs(levels[i]) >= 1)
levels[i]-=1.0;
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
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;
Quantum
*magick_restrict q;
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++)
{
ssize_t
j,
n;
n=0;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
ssize_t
level,
threshold;
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if (fabs(levels[n]) < MagickEpsilon)
{
n++;
continue;
}
threshold=(ssize_t) (QuantumScale*q[j]*(levels[n]*(map->divisor-1)+1));
level=threshold/(map->divisor-1);
threshold-=level*(map->divisor-1);
q[j]=ClampToQuantum((double) (level+(threshold >=
map->levels[(x % map->width)+map->width*(y % map->height)]))*
QuantumRange/levels[n]);
n++;
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,DitherImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
map=DestroyThresholdMap(map);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P e r c e p t i b l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PerceptibleImage() set each pixel whose value is less than |epsilon| to
% epsilon or -epsilon (whichever is closer) otherwise the pixel value remains
% unchanged.
%
% The format of the PerceptibleImage method is:
%
% MagickBooleanType PerceptibleImage(Image *image,const double epsilon,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o epsilon: the epsilon threshold (e.g. 1.0e-9).
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline Quantum PerceptibleThreshold(const Quantum quantum,
const double epsilon)
{
double
sign;
sign=(double) quantum < 0.0 ? -1.0 : 1.0;
if ((sign*quantum) >= epsilon)
return(quantum);
return((Quantum) (sign*epsilon));
}
MagickExport MagickBooleanType PerceptibleImage(Image *image,
const double epsilon,ExceptionInfo *exception)
{
#define PerceptibleImageTag "Perceptible/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)
{
ssize_t
i;
PixelInfo
*magick_restrict q;
q=image->colormap;
for (i=0; i < (ssize_t) image->colors; i++)
{
q->red=(double) PerceptibleThreshold(ClampToQuantum(q->red),
epsilon);
q->green=(double) PerceptibleThreshold(ClampToQuantum(q->green),
epsilon);
q->blue=(double) PerceptibleThreshold(ClampToQuantum(q->blue),
epsilon);
q->alpha=(double) PerceptibleThreshold(ClampToQuantum(q->alpha),
epsilon);
q++;
}
return(SyncImage(image,exception));
}
/*
Perceptible 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;
Quantum
*magick_restrict q;
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++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
q[i]=PerceptibleThreshold(q[i],epsilon);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,PerceptibleImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R a n d o m T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RandomThresholdImage() changes the value of individual pixels based on the
% intensity of each pixel compared to a random threshold. The result is a
% low-contrast, two color image.
%
% The format of the RandomThresholdImage method is:
%
% MagickBooleanType RandomThresholdImage(Image *image,
% const char *thresholds,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o low,high: Specify the high and low thresholds. These values range from
% 0 to QuantumRange.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType RandomThresholdImage(Image *image,
const double min_threshold, const double max_threshold,ExceptionInfo *exception)
{
#define ThresholdImageTag "Threshold/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
/*
Random threshold image.
*/
status=MagickTrue;
progress=0;
random_info=AcquireRandomInfoThreadSet();
image_view=AcquireAuthenticCacheView(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,image,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
Quantum
*magick_restrict q;
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++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
threshold;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if ((double) q[i] < min_threshold)
threshold=min_threshold;
else
if ((double) q[i] > max_threshold)
threshold=max_threshold;
else
threshold=(double) (QuantumRange*
GetPseudoRandomValue(random_info[id]));
q[i]=(double) q[i] <= threshold ? 0 : QuantumRange;
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ThresholdImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R a n g e T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RangeThresholdImage() applies soft and hard thresholding.
%
% The format of the RangeThresholdImage method is:
%
% MagickBooleanType RangeThresholdImage(Image *image,
% const double low_black,const double low_white,const double high_white,
% const double high_black,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o low_black: Define the minimum black threshold value.
%
% o low_white: Define the minimum white threshold value.
%
% o high_white: Define the maximum white threshold value.
%
% o high_black: Define the maximum black threshold value.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType RangeThresholdImage(Image *image,
const double low_black,const double low_white,const double high_white,
const double high_black,ExceptionInfo *exception)
{
#define ThresholdImageTag "Threshold/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 (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) TransformImageColorspace(image,sRGBColorspace,exception);
/*
Range threshold 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;
Quantum
*magick_restrict q;
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
pixel;
ssize_t
i;
pixel=GetPixelIntensity(image,q);
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 (image->channel_mask != DefaultChannels)
pixel=(double) q[i];
if (pixel < low_black)
q[i]=(Quantum) 0;
else
if ((pixel >= low_black) && (pixel < low_white))
q[i]=ClampToQuantum(QuantumRange*
PerceptibleReciprocal(low_white-low_black)*(pixel-low_black));
else
if ((pixel >= low_white) && (pixel <= high_white))
q[i]=QuantumRange;
else
if ((pixel > high_white) && (pixel <= high_black))
q[i]=ClampToQuantum(QuantumRange*PerceptibleReciprocal(
high_black-high_white)*(high_black-pixel));
else
if (pixel > high_black)
q[i]=(Quantum) 0;
else
q[i]=(Quantum) 0;
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ThresholdImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W h i t e T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WhiteThresholdImage() is like ThresholdImage() but forces all pixels above
% the threshold into white while leaving all pixels at or below the threshold
% unchanged.
%
% The format of the WhiteThresholdImage method is:
%
% MagickBooleanType WhiteThresholdImage(Image *image,
% const char *threshold,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: Define the threshold value.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WhiteThresholdImage(Image *image,
const char *thresholds,ExceptionInfo *exception)
{
#define ThresholdImageTag "Threshold/Image"
CacheView
*image_view;
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
threshold;
MagickStatusType
flags;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (thresholds == (const char *) NULL)
return(MagickTrue);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) TransformImageColorspace(image,sRGBColorspace,exception);
GetPixelInfo(image,&threshold);
flags=ParseGeometry(thresholds,&geometry_info);
threshold.red=geometry_info.rho;
threshold.green=geometry_info.rho;
threshold.blue=geometry_info.rho;
threshold.black=geometry_info.rho;
threshold.alpha=100.0;
if ((flags & SigmaValue) != 0)
threshold.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
threshold.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
threshold.alpha=geometry_info.psi;
if (threshold.colorspace == CMYKColorspace)
{
if ((flags & PsiValue) != 0)
threshold.black=geometry_info.psi;
if ((flags & ChiValue) != 0)
threshold.alpha=geometry_info.chi;
}
if ((flags & PercentValue) != 0)
{
threshold.red*=(MagickRealType) (QuantumRange/100.0);
threshold.green*=(MagickRealType) (QuantumRange/100.0);
threshold.blue*=(MagickRealType) (QuantumRange/100.0);
threshold.black*=(MagickRealType) (QuantumRange/100.0);
threshold.alpha*=(MagickRealType) (QuantumRange/100.0);
}
/*
White threshold 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;
Quantum
*magick_restrict q;
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
pixel;
ssize_t
i;
pixel=GetPixelIntensity(image,q);
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 (image->channel_mask != DefaultChannels)
pixel=(double) q[i];
if (pixel > GetPixelInfoChannel(&threshold,channel))
q[i]=QuantumRange;
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ThresholdImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
|
par_csr_matop_device.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)
******************************************************************************/
#include "_hypre_utilities.h"
#include "_hypre_parcsr_mv.h"
#include "_hypre_utilities.hpp"
#if defined(HYPRE_USING_CUDA)
HYPRE_Int
hypre_ParcsrGetExternalRowsDeviceInit( hypre_ParCSRMatrix *A,
HYPRE_Int indices_len,
HYPRE_Int *indices,
hypre_ParCSRCommPkg *comm_pkg,
HYPRE_Int want_data,
void **request_ptr)
{
HYPRE_Int i, j;
HYPRE_Int num_sends, num_rows_send, num_nnz_send, num_recvs, num_rows_recv, num_nnz_recv;
HYPRE_Int *d_send_i, *send_i, *d_send_map, *d_recv_i, *recv_i;
HYPRE_BigInt *d_send_j, *d_recv_j;
HYPRE_Int *send_jstarts, *recv_jstarts;
HYPRE_Complex *d_send_a = NULL, *d_recv_a = NULL;
hypre_ParCSRCommPkg *comm_pkg_j;
hypre_ParCSRCommHandle *comm_handle, *comm_handle_j, *comm_handle_a;
/* HYPRE_Int global_num_rows = hypre_ParCSRMatrixGlobalNumRows(A); */
/* diag part of A */
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Complex *A_diag_a = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
/* HYPRE_Int local_num_rows = hypre_CSRMatrixNumRows(A_diag); */
/* off-diag part of A */
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Complex *A_offd_a = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
/* HYPRE_Int *row_starts = hypre_ParCSRMatrixRowStarts(A); */
/* HYPRE_Int first_row = hypre_ParCSRMatrixFirstRowIndex(A); */
HYPRE_Int first_col = hypre_ParCSRMatrixFirstColDiag(A);
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *d_col_map_offd_A = hypre_ParCSRMatrixDeviceColMapOffd(A);
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
HYPRE_Int num_procs;
HYPRE_Int my_id;
void **vrequest;
hypre_CSRMatrix *A_ext;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
/* number of sends (#procs) */
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
/* number of rows to send */
num_rows_send = hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends);
/* number of recvs (#procs) */
num_recvs = hypre_ParCSRCommPkgNumRecvs(comm_pkg);
/* number of rows to recv */
num_rows_recv = hypre_ParCSRCommPkgRecvVecStart(comm_pkg, num_recvs);
/* must be true if indices contains proper offd indices */
hypre_assert(indices_len == num_rows_recv);
/* send_i/recv_i:
* the arrays to send and recv: we first send and recv the row lengths */
d_send_i = hypre_TAlloc(HYPRE_Int, num_rows_send + 1, HYPRE_MEMORY_DEVICE);
d_send_map = hypre_TAlloc(HYPRE_Int, num_rows_send, HYPRE_MEMORY_DEVICE);
send_i = hypre_TAlloc(HYPRE_Int, num_rows_send, HYPRE_MEMORY_HOST);
recv_i = hypre_TAlloc(HYPRE_Int, num_rows_recv + 1, HYPRE_MEMORY_HOST);
d_recv_i = hypre_TAlloc(HYPRE_Int, num_rows_recv + 1, HYPRE_MEMORY_DEVICE);
/* fill the send array with row lengths */
hypre_TMemcpy(d_send_map, hypre_ParCSRCommPkgSendMapElmts(comm_pkg), HYPRE_Int,
num_rows_send, HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
hypre_Memset(d_send_i, 0, sizeof(HYPRE_Int), HYPRE_MEMORY_DEVICE);
hypreDevice_GetRowNnz(num_rows_send, d_send_map, A_diag_i, A_offd_i, d_send_i+1);
/* send array send_i out: deviceTohost first and MPI (async)
* note the shift in recv_i by one */
hypre_TMemcpy(send_i, d_send_i+1, HYPRE_Int, num_rows_send, HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, send_i, recv_i+1);
hypreDevice_IntegerInclusiveScan(num_rows_send + 1, d_send_i);
/* total number of nnz to send */
hypre_TMemcpy(&num_nnz_send, d_send_i+num_rows_send, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
/* prepare data to send out. overlap with the above commmunication */
d_send_j = hypre_TAlloc(HYPRE_BigInt, num_nnz_send, HYPRE_MEMORY_DEVICE);
if (want_data)
{
d_send_a = hypre_TAlloc(HYPRE_Complex, num_nnz_send, HYPRE_MEMORY_DEVICE);
}
if (d_col_map_offd_A == NULL)
{
d_col_map_offd_A = hypre_TAlloc(HYPRE_BigInt, num_cols_A_offd, HYPRE_MEMORY_DEVICE);
hypre_TMemcpy(d_col_map_offd_A, col_map_offd_A, HYPRE_BigInt, num_cols_A_offd,
HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixDeviceColMapOffd(A) = d_col_map_offd_A;
}
/* job == 2, d_send_i is input that contains row ptrs (length num_rows_send) */
hypreDevice_CopyParCSRRows(num_rows_send, d_send_map, 2, num_procs > 1,
first_col, d_col_map_offd_A,
A_diag_i, A_diag_j, A_diag_a,
A_offd_i, A_offd_j, A_offd_a,
d_send_i, d_send_j, d_send_a);
/* pointers to each proc in send_j */
send_jstarts = hypre_TAlloc(HYPRE_Int, num_sends + 1, HYPRE_MEMORY_HOST);
send_jstarts[0] = 0;
for (i = 1; i <= num_sends; i++)
{
send_jstarts[i] = send_jstarts[i-1];
for ( j = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i-1);
j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
j++ )
{
send_jstarts[i] += send_i[j];
}
}
hypre_assert(send_jstarts[num_sends] == num_nnz_send);
/* finish the above communication: send_i/recv_i */
hypre_ParCSRCommHandleDestroy(comm_handle);
/* adjust recv_i to ptrs */
recv_i[0] = 0;
for (i = 1; i <= num_rows_recv; i++)
{
recv_i[i] += recv_i[i-1];
}
num_nnz_recv = recv_i[num_rows_recv];
/* allocate device memory for j and a */
d_recv_j = hypre_TAlloc(HYPRE_BigInt, num_nnz_recv, HYPRE_MEMORY_DEVICE);
if (want_data)
{
d_recv_a = hypre_TAlloc(HYPRE_Complex, num_nnz_recv, HYPRE_MEMORY_DEVICE);
}
recv_jstarts = hypre_TAlloc(HYPRE_Int, num_recvs + 1, HYPRE_MEMORY_HOST);
recv_jstarts[0] = 0;
for (i = 1; i <= num_recvs; i++)
{
j = hypre_ParCSRCommPkgRecvVecStart(comm_pkg, i);
recv_jstarts[i] = recv_i[j];
}
/* ready to send and recv: create a communication package for data */
comm_pkg_j = hypre_CTAlloc(hypre_ParCSRCommPkg, 1, HYPRE_MEMORY_HOST);
hypre_ParCSRCommPkgComm (comm_pkg_j) = comm;
hypre_ParCSRCommPkgNumSends (comm_pkg_j) = num_sends;
hypre_ParCSRCommPkgSendProcs (comm_pkg_j) = hypre_ParCSRCommPkgSendProcs(comm_pkg);
hypre_ParCSRCommPkgSendMapStarts(comm_pkg_j) = send_jstarts;
hypre_ParCSRCommPkgNumRecvs (comm_pkg_j) = num_recvs;
hypre_ParCSRCommPkgRecvProcs (comm_pkg_j) = hypre_ParCSRCommPkgRecvProcs(comm_pkg);
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg_j) = recv_jstarts;
/* init communication */
/* ja */
comm_handle_j = hypre_ParCSRCommHandleCreate_v2(21, comm_pkg_j,
HYPRE_MEMORY_DEVICE, d_send_j,
HYPRE_MEMORY_DEVICE, d_recv_j);
if (want_data)
{
/* a */
comm_handle_a = hypre_ParCSRCommHandleCreate_v2(1, comm_pkg_j,
HYPRE_MEMORY_DEVICE, d_send_a,
HYPRE_MEMORY_DEVICE, d_recv_a);
}
else
{
comm_handle_a = NULL;
}
hypre_TMemcpy(d_recv_i, recv_i, HYPRE_Int, num_rows_recv+1, HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
/* create A_ext: on device */
A_ext = hypre_CSRMatrixCreate(num_rows_recv, hypre_ParCSRMatrixGlobalNumCols(A), num_nnz_recv);
hypre_CSRMatrixI (A_ext) = d_recv_i;
hypre_CSRMatrixBigJ(A_ext) = d_recv_j;
hypre_CSRMatrixData(A_ext) = d_recv_a;
hypre_CSRMatrixMemoryLocation(A_ext) = HYPRE_MEMORY_DEVICE;
/* output */
vrequest = hypre_TAlloc(void *, 3, HYPRE_MEMORY_HOST);
vrequest[0] = (void *) comm_handle_j;
vrequest[1] = (void *) comm_handle_a;
vrequest[2] = (void *) A_ext;
*request_ptr = (void *) vrequest;
/* free */
hypre_TFree(send_i, HYPRE_MEMORY_HOST);
hypre_TFree(recv_i, HYPRE_MEMORY_HOST);
hypre_TFree(d_send_i, HYPRE_MEMORY_DEVICE);
hypre_TFree(d_send_map, HYPRE_MEMORY_DEVICE);
hypre_TFree(hypre_ParCSRCommPkgSendMapStarts(comm_pkg_j), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParCSRCommPkgRecvVecStarts(comm_pkg_j), HYPRE_MEMORY_HOST);
hypre_TFree(comm_pkg_j, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
hypre_CSRMatrix*
hypre_ParcsrGetExternalRowsDeviceWait(void *vrequest)
{
void **request = (void **) vrequest;
hypre_ParCSRCommHandle *comm_handle_j = (hypre_ParCSRCommHandle *) request[0];
hypre_ParCSRCommHandle *comm_handle_a = (hypre_ParCSRCommHandle *) request[1];
hypre_CSRMatrix *A_ext = (hypre_CSRMatrix *) request[2];
HYPRE_BigInt *send_j = comm_handle_j ? (HYPRE_BigInt *) hypre_ParCSRCommHandleSendData(comm_handle_j) : NULL;
HYPRE_Complex *send_a = comm_handle_a ? (HYPRE_Complex *) hypre_ParCSRCommHandleSendData(comm_handle_a) : NULL;
hypre_ParCSRCommHandleDestroy(comm_handle_j);
hypre_ParCSRCommHandleDestroy(comm_handle_a);
hypre_TFree(send_j, HYPRE_MEMORY_DEVICE);
hypre_TFree(send_a, HYPRE_MEMORY_DEVICE);
hypre_TFree(request, HYPRE_MEMORY_HOST);
return A_ext;
}
hypre_CSRMatrix*
hypre_MergeDiagAndOffdDevice(hypre_ParCSRMatrix *A)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Complex *A_diag_a = 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_Complex *A_offd_a = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int local_num_rows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt glbal_num_cols = hypre_ParCSRMatrixGlobalNumCols(A);
HYPRE_BigInt first_col = hypre_ParCSRMatrixFirstColDiag(A);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
HYPRE_BigInt *d_col_map_offd_A = hypre_ParCSRMatrixDeviceColMapOffd(A);
hypre_CSRMatrix *B;
HYPRE_Int B_nrows = local_num_rows;
HYPRE_BigInt B_ncols = glbal_num_cols;
HYPRE_Int *B_i = hypre_TAlloc(HYPRE_Int, B_nrows + 1, HYPRE_MEMORY_DEVICE);
HYPRE_BigInt *B_j;
HYPRE_Complex *B_a;
HYPRE_Int B_nnz;
HYPRE_Int num_procs;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_Memset(B_i, 0, sizeof(HYPRE_Int), HYPRE_MEMORY_DEVICE);
hypreDevice_GetRowNnz(B_nrows, NULL, A_diag_i, A_offd_i, B_i+1);
hypreDevice_IntegerInclusiveScan(B_nrows+1, B_i);
/* total number of nnz */
hypre_TMemcpy(&B_nnz, B_i+B_nrows, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
B_j = hypre_TAlloc(HYPRE_BigInt, B_nnz, HYPRE_MEMORY_DEVICE);
B_a = hypre_TAlloc(HYPRE_Complex, B_nnz, HYPRE_MEMORY_DEVICE);
if (d_col_map_offd_A == NULL)
{
d_col_map_offd_A = hypre_TAlloc(HYPRE_BigInt, num_cols_A_offd, HYPRE_MEMORY_DEVICE);
hypre_TMemcpy(d_col_map_offd_A, col_map_offd_A, HYPRE_BigInt, num_cols_A_offd,
HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixDeviceColMapOffd(A) = d_col_map_offd_A;
}
hypreDevice_CopyParCSRRows(B_nrows, NULL, 2, num_procs > 1, first_col, d_col_map_offd_A,
A_diag_i, A_diag_j, A_diag_a, A_offd_i, A_offd_j, A_offd_a,
B_i, B_j, B_a);
/* output */
B = hypre_CSRMatrixCreate(B_nrows, B_ncols, B_nnz);
hypre_CSRMatrixI (B) = B_i;
hypre_CSRMatrixBigJ(B) = B_j;
hypre_CSRMatrixData(B) = B_a;
hypre_CSRMatrixMemoryLocation(B) = HYPRE_MEMORY_DEVICE;
hypre_SyncCudaComputeStream(hypre_handle());
return B;
}
HYPRE_Int
hypre_ExchangeExternalRowsDeviceInit( hypre_CSRMatrix *B_ext,
hypre_ParCSRCommPkg *comm_pkg_A,
void **request_ptr)
{
MPI_Comm comm = hypre_ParCSRCommPkgComm(comm_pkg_A);
HYPRE_Int num_recvs = hypre_ParCSRCommPkgNumRecvs(comm_pkg_A);
HYPRE_Int *recv_procs = hypre_ParCSRCommPkgRecvProcs(comm_pkg_A);
HYPRE_Int *recv_vec_starts = hypre_ParCSRCommPkgRecvVecStarts(comm_pkg_A);
HYPRE_Int num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg_A);
HYPRE_Int *send_procs = hypre_ParCSRCommPkgSendProcs(comm_pkg_A);
HYPRE_Int *send_map_starts = hypre_ParCSRCommPkgSendMapStarts(comm_pkg_A);
HYPRE_Int num_elmts_send = send_map_starts[num_sends];
HYPRE_Int num_elmts_recv = recv_vec_starts[num_recvs];
HYPRE_Int *B_ext_i_d = hypre_CSRMatrixI(B_ext);
HYPRE_BigInt *B_ext_j_d = hypre_CSRMatrixBigJ(B_ext);
HYPRE_Complex *B_ext_a_d = hypre_CSRMatrixData(B_ext);
HYPRE_Int B_ext_ncols = hypre_CSRMatrixNumCols(B_ext);
HYPRE_Int B_ext_nrows = hypre_CSRMatrixNumRows(B_ext);
HYPRE_Int B_ext_nnz = hypre_CSRMatrixNumNonzeros(B_ext);
HYPRE_Int *B_ext_rownnz_d = hypre_TAlloc(HYPRE_Int, B_ext_nrows + 1, HYPRE_MEMORY_DEVICE);
HYPRE_Int *B_ext_rownnz_h = hypre_TAlloc(HYPRE_Int, B_ext_nrows, HYPRE_MEMORY_HOST);
HYPRE_Int *B_ext_i_h = hypre_TAlloc(HYPRE_Int, B_ext_nrows + 1, HYPRE_MEMORY_HOST);
hypre_assert(num_elmts_recv == B_ext_nrows);
/* output matrix */
hypre_CSRMatrix *B_int_d;
HYPRE_Int B_int_nrows = num_elmts_send;
HYPRE_Int B_int_ncols = B_ext_ncols;
HYPRE_Int *B_int_i_h = hypre_TAlloc(HYPRE_Int, B_int_nrows + 1, HYPRE_MEMORY_HOST);
HYPRE_Int *B_int_i_d = hypre_TAlloc(HYPRE_Int, B_int_nrows + 1, HYPRE_MEMORY_DEVICE);
HYPRE_BigInt *B_int_j_d = NULL;
HYPRE_Complex *B_int_a_d = NULL;
HYPRE_Int B_int_nnz;
hypre_ParCSRCommHandle *comm_handle, *comm_handle_j, *comm_handle_a;
hypre_ParCSRCommPkg *comm_pkg_j;
HYPRE_Int *jdata_recv_vec_starts;
HYPRE_Int *jdata_send_map_starts;
HYPRE_Int i;
HYPRE_Int num_procs, my_id;
void **vrequest;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
jdata_send_map_starts = hypre_TAlloc(HYPRE_Int, num_sends+1, HYPRE_MEMORY_HOST);
/*--------------------------------------------------------------------------
* B_ext_rownnz contains the number of elements of row j
* (to be determined through send_map_elmnts on the receiving end)
*--------------------------------------------------------------------------*/
HYPRE_THRUST_CALL(adjacent_difference, B_ext_i_d, B_ext_i_d + B_ext_nrows + 1, B_ext_rownnz_d);
hypre_TMemcpy(B_ext_rownnz_h, B_ext_rownnz_d + 1, HYPRE_Int, B_ext_nrows,
HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
/*--------------------------------------------------------------------------
* initialize communication: send/recv the row nnz
* (note the use of comm_pkg_A, mode 12, as in transpose matvec
*--------------------------------------------------------------------------*/
comm_handle = hypre_ParCSRCommHandleCreate(12, comm_pkg_A, B_ext_rownnz_h, B_int_i_h + 1);
jdata_recv_vec_starts = hypre_TAlloc(HYPRE_Int, num_recvs + 1, HYPRE_MEMORY_HOST);
jdata_recv_vec_starts[0] = 0;
B_ext_i_h[0] = 0;
hypre_TMemcpy(B_ext_i_h + 1, B_ext_rownnz_h, HYPRE_Int, B_ext_nrows, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
for (i = 1; i <= B_ext_nrows; i++)
{
B_ext_i_h[i] += B_ext_i_h[i-1];
}
hypre_assert(B_ext_i_h[B_ext_nrows] == B_ext_nnz);
for (i = 1; i <= num_recvs; i++)
{
jdata_recv_vec_starts[i] = B_ext_i_h[recv_vec_starts[i]];
}
comm_pkg_j = hypre_CTAlloc(hypre_ParCSRCommPkg, 1, HYPRE_MEMORY_HOST);
hypre_ParCSRCommPkgComm(comm_pkg_j) = comm;
hypre_ParCSRCommPkgNumSends(comm_pkg_j) = num_recvs;
hypre_ParCSRCommPkgNumRecvs(comm_pkg_j) = num_sends;
hypre_ParCSRCommPkgSendProcs(comm_pkg_j) = recv_procs;
hypre_ParCSRCommPkgRecvProcs(comm_pkg_j) = send_procs;
hypre_ParCSRCommHandleDestroy(comm_handle);
/*--------------------------------------------------------------------------
* compute B_int: row nnz to row ptrs
*--------------------------------------------------------------------------*/
B_int_i_h[0] = 0;
for (i = 1; i <= B_int_nrows; i++)
{
B_int_i_h[i] += B_int_i_h[i-1];
}
B_int_nnz = B_int_i_h[B_int_nrows];
B_int_j_d = hypre_TAlloc(HYPRE_BigInt, B_int_nnz, HYPRE_MEMORY_DEVICE);
B_int_a_d = hypre_TAlloc(HYPRE_Complex, B_int_nnz, HYPRE_MEMORY_DEVICE);
for (i = 0; i <= num_sends; i++)
{
jdata_send_map_starts[i] = B_int_i_h[send_map_starts[i]];
}
/* note the order of send/recv is reversed */
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg_j) = jdata_send_map_starts;
hypre_ParCSRCommPkgSendMapStarts(comm_pkg_j) = jdata_recv_vec_starts;
/* send/recv CSR rows */
comm_handle_a = hypre_ParCSRCommHandleCreate_v2( 1, comm_pkg_j,
HYPRE_MEMORY_DEVICE, B_ext_a_d,
HYPRE_MEMORY_DEVICE, B_int_a_d );
comm_handle_j = hypre_ParCSRCommHandleCreate_v2(21, comm_pkg_j,
HYPRE_MEMORY_DEVICE, B_ext_j_d,
HYPRE_MEMORY_DEVICE, B_int_j_d );
hypre_TMemcpy(B_int_i_d, B_int_i_h, HYPRE_Int, B_int_nrows+1, HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
/* create CSR: on device */
B_int_d = hypre_CSRMatrixCreate(B_int_nrows, B_int_ncols, B_int_nnz);
hypre_CSRMatrixI(B_int_d) = B_int_i_d;
hypre_CSRMatrixBigJ(B_int_d) = B_int_j_d;
hypre_CSRMatrixData(B_int_d) = B_int_a_d;
hypre_CSRMatrixMemoryLocation(B_int_d) = HYPRE_MEMORY_DEVICE;
/* output */
vrequest = hypre_TAlloc(void *, 3, HYPRE_MEMORY_HOST);
vrequest[0] = (void *) comm_handle_j;
vrequest[1] = (void *) comm_handle_a;
vrequest[2] = (void *) B_int_d;
*request_ptr = (void *) vrequest;
/* free */
hypre_TFree(B_ext_rownnz_d, HYPRE_MEMORY_DEVICE);
hypre_TFree(B_ext_rownnz_h, HYPRE_MEMORY_HOST);
hypre_TFree(B_ext_i_h, HYPRE_MEMORY_HOST);
hypre_TFree(B_int_i_h, HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParCSRCommPkgSendMapStarts(comm_pkg_j), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_ParCSRCommPkgRecvVecStarts(comm_pkg_j), HYPRE_MEMORY_HOST);
hypre_TFree(comm_pkg_j, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
hypre_CSRMatrix*
hypre_ExchangeExternalRowsDeviceWait(void *vrequest)
{
void **request = (void **) vrequest;
hypre_ParCSRCommHandle *comm_handle_j = (hypre_ParCSRCommHandle *) request[0];
hypre_ParCSRCommHandle *comm_handle_a = (hypre_ParCSRCommHandle *) request[1];
hypre_CSRMatrix *B_int_d = (hypre_CSRMatrix *) request[2];
/* communication done */
hypre_ParCSRCommHandleDestroy(comm_handle_j);
hypre_ParCSRCommHandleDestroy(comm_handle_a);
hypre_TFree(request, HYPRE_MEMORY_HOST);
return B_int_d;
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
HYPRE_Int
hypre_ParCSRMatrixExtractBExtDeviceInit( hypre_ParCSRMatrix *B,
hypre_ParCSRMatrix *A,
HYPRE_Int want_data,
void **request_ptr)
{
hypre_assert( hypre_CSRMatrixMemoryLocation(hypre_ParCSRMatrixDiag(B)) ==
hypre_CSRMatrixMemoryLocation(hypre_ParCSRMatrixOffd(B)) );
/*
hypre_assert( hypre_GetActualMemLocation(
hypre_CSRMatrixMemoryLocation(hypre_ParCSRMatrixDiag(B))) == HYPRE_MEMORY_DEVICE );
*/
hypre_ParcsrGetExternalRowsDeviceInit(B,
hypre_CSRMatrixNumCols(hypre_ParCSRMatrixOffd(A)),
hypre_ParCSRMatrixColMapOffd(A),
hypre_ParCSRMatrixCommPkg(A),
want_data,
request_ptr);
return hypre_error_flag;
}
hypre_CSRMatrix*
hypre_ParCSRMatrixExtractBExtDeviceWait(void *request)
{
return hypre_ParcsrGetExternalRowsDeviceWait(request);
}
hypre_CSRMatrix*
hypre_ParCSRMatrixExtractBExtDevice( hypre_ParCSRMatrix *B,
hypre_ParCSRMatrix *A,
HYPRE_Int want_data )
{
void *request;
hypre_ParCSRMatrixExtractBExtDeviceInit(B, A, want_data, &request);
return hypre_ParCSRMatrixExtractBExtDeviceWait(request);
}
/* return B = [Adiag, Aoffd] */
#if 1
__global__ void
hypreCUDAKernel_ConcatDiagAndOffd(HYPRE_Int nrows, HYPRE_Int diag_ncol,
HYPRE_Int *d_diag_i, HYPRE_Int *d_diag_j, HYPRE_Complex *d_diag_a,
HYPRE_Int *d_offd_i, HYPRE_Int *d_offd_j, HYPRE_Complex *d_offd_a,
HYPRE_Int *cols_offd_map,
HYPRE_Int *d_ib, HYPRE_Int *d_jb, HYPRE_Complex *d_ab)
{
const HYPRE_Int row = hypre_cuda_get_grid_warp_id<1,1>();
if (row >= nrows)
{
return;
}
/* lane id inside the warp */
const HYPRE_Int lane_id = hypre_cuda_get_lane_id<1>();
HYPRE_Int i, j, k, p, istart, iend, bstart;
/* diag part */
if (lane_id < 2)
{
j = read_only_load(d_diag_i + row + lane_id);
}
if (lane_id == 0)
{
k = read_only_load(d_ib + row);
}
istart = __shfl_sync(HYPRE_WARP_FULL_MASK, j, 0);
iend = __shfl_sync(HYPRE_WARP_FULL_MASK, j, 1);
bstart = __shfl_sync(HYPRE_WARP_FULL_MASK, k, 0);
p = bstart - istart;
for (i = istart + lane_id; i < iend; i += HYPRE_WARP_SIZE)
{
d_jb[p+i] = read_only_load(d_diag_j + i);
d_ab[p+i] = read_only_load(d_diag_a + i);
}
/* offd part */
if (lane_id < 2)
{
j = read_only_load(d_offd_i + row + lane_id);
}
bstart += iend - istart;
istart = __shfl_sync(HYPRE_WARP_FULL_MASK, j, 0);
iend = __shfl_sync(HYPRE_WARP_FULL_MASK, j, 1);
p = bstart - istart;
for (i = istart + lane_id; i < iend; i += HYPRE_WARP_SIZE)
{
const HYPRE_Int t = read_only_load(d_offd_j + i);
d_jb[p+i] = (cols_offd_map ? read_only_load(&cols_offd_map[t]) : t) + diag_ncol;
d_ab[p+i] = read_only_load(d_offd_a + i);
}
}
hypre_CSRMatrix*
hypre_ConcatDiagAndOffdDevice(hypre_ParCSRMatrix *A)
{
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
hypre_CSRMatrix *B = hypre_CSRMatrixCreate( hypre_CSRMatrixNumRows(A_diag),
hypre_CSRMatrixNumCols(A_diag) + hypre_CSRMatrixNumCols(A_offd),
hypre_CSRMatrixNumNonzeros(A_diag) + hypre_CSRMatrixNumNonzeros(A_offd) );
hypre_CSRMatrixInitialize_v2(B, 0, HYPRE_MEMORY_DEVICE);
hypreDevice_GetRowNnz(hypre_CSRMatrixNumRows(B), NULL, hypre_CSRMatrixI(A_diag), hypre_CSRMatrixI(A_offd), hypre_CSRMatrixI(B));
HYPRE_THRUST_CALL( exclusive_scan,
hypre_CSRMatrixI(B),
hypre_CSRMatrixI(B) + hypre_CSRMatrixNumRows(B) + 1,
hypre_CSRMatrixI(B) );
const dim3 bDim = hypre_GetDefaultCUDABlockDimension();
const dim3 gDim = hypre_GetDefaultCUDAGridDimension(hypre_CSRMatrixNumRows(A_diag), "warp", bDim);
HYPRE_CUDA_LAUNCH( hypreCUDAKernel_ConcatDiagAndOffd,
gDim, bDim,
hypre_CSRMatrixNumRows(A_diag),
hypre_CSRMatrixNumCols(A_diag),
hypre_CSRMatrixI(A_diag),
hypre_CSRMatrixJ(A_diag),
hypre_CSRMatrixData(A_diag),
hypre_CSRMatrixI(A_offd),
hypre_CSRMatrixJ(A_offd),
hypre_CSRMatrixData(A_offd),
NULL,
hypre_CSRMatrixI(B),
hypre_CSRMatrixJ(B),
hypre_CSRMatrixData(B) );
return B;
}
#else
hypre_CSRMatrix*
hypre_ConcatDiagAndOffdDevice(hypre_ParCSRMatrix *A)
{
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
HYPRE_Complex *A_diag_a = hypre_CSRMatrixData(A_diag);
HYPRE_Int A_diag_nnz = hypre_CSRMatrixNumNonzeros(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Complex *A_offd_a = hypre_CSRMatrixData(A_offd);
HYPRE_Int A_offd_nnz = hypre_CSRMatrixNumNonzeros(A_offd);
hypre_CSRMatrix *B;
HYPRE_Int B_nrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int B_ncols = hypre_CSRMatrixNumCols(A_diag) + hypre_CSRMatrixNumCols(A_offd);
HYPRE_Int B_nnz = A_diag_nnz + A_offd_nnz;
HYPRE_Int *B_ii = hypre_TAlloc(HYPRE_Int, B_nnz, HYPRE_MEMORY_DEVICE);
HYPRE_Int *B_j = hypre_TAlloc(HYPRE_Int, B_nnz, HYPRE_MEMORY_DEVICE);
HYPRE_Complex *B_a = hypre_TAlloc(HYPRE_Complex, B_nnz, HYPRE_MEMORY_DEVICE);
// Adiag
HYPRE_Int *A_diag_ii = hypreDevice_CsrRowPtrsToIndices(B_nrows, A_diag_nnz, A_diag_i);
HYPRE_THRUST_CALL( copy_n,
thrust::make_zip_iterator(thrust::make_tuple(A_diag_ii, A_diag_j, A_diag_a)),
A_diag_nnz,
thrust::make_zip_iterator(thrust::make_tuple(B_ii, B_j, B_a)) );
hypre_TFree(A_diag_ii, HYPRE_MEMORY_DEVICE);
// Aoffd
HYPRE_Int *A_offd_ii = hypreDevice_CsrRowPtrsToIndices(B_nrows, A_offd_nnz, A_offd_i);
HYPRE_THRUST_CALL( copy_n,
thrust::make_zip_iterator(thrust::make_tuple(A_offd_ii, A_offd_a)),
A_offd_nnz,
thrust::make_zip_iterator(thrust::make_tuple(B_ii, B_a)) + A_diag_nnz );
hypre_TFree(A_offd_ii, HYPRE_MEMORY_DEVICE);
HYPRE_THRUST_CALL( transform,
A_offd_j,
A_offd_j + A_offd_nnz,
thrust::make_constant_iterator(hypre_CSRMatrixNumCols(A_diag)),
B_j + A_diag_nnz,
thrust::plus<HYPRE_Int>() );
// B
HYPRE_THRUST_CALL( stable_sort_by_key,
B_ii,
B_ii + B_nnz,
thrust::make_zip_iterator(thrust::make_tuple(B_j, B_a)) );
HYPRE_Int *B_i = hypreDevice_CsrRowIndicesToPtrs(B_nrows, B_nnz, B_ii);
hypre_TFree(B_ii, HYPRE_MEMORY_DEVICE);
B = hypre_CSRMatrixCreate(B_nrows, B_ncols, B_nnz);
hypre_CSRMatrixI(B) = B_i;
hypre_CSRMatrixJ(B) = B_j;
hypre_CSRMatrixData(B) = B_a;
hypre_CSRMatrixMemoryLocation(B) = HYPRE_MEMORY_DEVICE;
return B;
}
#endif
/* return B = [Adiag, Aoffd; E] */
#if 1
HYPRE_Int
hypre_ConcatDiagOffdAndExtDevice(hypre_ParCSRMatrix *A,
hypre_CSRMatrix *E,
hypre_CSRMatrix **B_ptr,
HYPRE_Int *num_cols_offd_ptr,
HYPRE_BigInt **cols_map_offd_ptr)
{
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
hypre_CSRMatrix *E_diag, *E_offd, *B;
HYPRE_Int *cols_offd_map, num_cols_offd;
HYPRE_BigInt *cols_map_offd;
hypre_CSRMatrixSplitDevice(E, hypre_ParCSRMatrixFirstColDiag(A), hypre_ParCSRMatrixLastColDiag(A),
hypre_CSRMatrixNumCols(A_offd), hypre_ParCSRMatrixDeviceColMapOffd(A),
&cols_offd_map, &num_cols_offd, &cols_map_offd, &E_diag, &E_offd);
B = hypre_CSRMatrixCreate(hypre_ParCSRMatrixNumRows(A) + hypre_CSRMatrixNumRows(E),
hypre_ParCSRMatrixNumCols(A) + num_cols_offd,
hypre_CSRMatrixNumNonzeros(A_diag) + hypre_CSRMatrixNumNonzeros(A_offd) + hypre_CSRMatrixNumNonzeros(E));
hypre_CSRMatrixInitialize_v2(B, 0, HYPRE_MEMORY_DEVICE);
hypreDevice_GetRowNnz(hypre_ParCSRMatrixNumRows(A), NULL, hypre_CSRMatrixI(A_diag), hypre_CSRMatrixI(A_offd), hypre_CSRMatrixI(B));
HYPRE_THRUST_CALL( exclusive_scan,
hypre_CSRMatrixI(B),
hypre_CSRMatrixI(B) + hypre_ParCSRMatrixNumRows(A) + 1,
hypre_CSRMatrixI(B) );
dim3 bDim = hypre_GetDefaultCUDABlockDimension();
dim3 gDim = hypre_GetDefaultCUDAGridDimension(hypre_ParCSRMatrixNumRows(A), "warp", bDim);
HYPRE_CUDA_LAUNCH( hypreCUDAKernel_ConcatDiagAndOffd,
gDim, bDim,
hypre_CSRMatrixNumRows(A_diag),
hypre_CSRMatrixNumCols(A_diag),
hypre_CSRMatrixI(A_diag),
hypre_CSRMatrixJ(A_diag),
hypre_CSRMatrixData(A_diag),
hypre_CSRMatrixI(A_offd),
hypre_CSRMatrixJ(A_offd),
hypre_CSRMatrixData(A_offd),
cols_offd_map,
hypre_CSRMatrixI(B),
hypre_CSRMatrixJ(B),
hypre_CSRMatrixData(B) );
hypre_TFree(cols_offd_map, HYPRE_MEMORY_DEVICE);
hypre_TMemcpy(hypre_CSRMatrixI(B) + hypre_ParCSRMatrixNumRows(A) + 1, hypre_CSRMatrixI(E) + 1, HYPRE_Int, hypre_CSRMatrixNumRows(E),
HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_DEVICE);
HYPRE_THRUST_CALL( transform,
hypre_CSRMatrixI(B) + hypre_ParCSRMatrixNumRows(A) + 1,
hypre_CSRMatrixI(B) + hypre_ParCSRMatrixNumRows(A) + hypre_CSRMatrixNumRows(E) + 1,
thrust::make_constant_iterator(hypre_CSRMatrixNumNonzeros(A_diag) + hypre_CSRMatrixNumNonzeros(A_offd)),
hypre_CSRMatrixI(B) + hypre_ParCSRMatrixNumRows(A) + 1,
thrust::plus<HYPRE_Int>() );
gDim = hypre_GetDefaultCUDAGridDimension(hypre_CSRMatrixNumRows(E), "warp", bDim);
hypre_assert(hypre_CSRMatrixNumCols(E_diag) == hypre_CSRMatrixNumCols(A_diag));
HYPRE_CUDA_LAUNCH( hypreCUDAKernel_ConcatDiagAndOffd,
gDim, bDim,
hypre_CSRMatrixNumRows(E_diag),
hypre_CSRMatrixNumCols(E_diag),
hypre_CSRMatrixI(E_diag),
hypre_CSRMatrixJ(E_diag),
hypre_CSRMatrixData(E_diag),
hypre_CSRMatrixI(E_offd),
hypre_CSRMatrixJ(E_offd),
hypre_CSRMatrixData(E_offd),
NULL,
hypre_CSRMatrixI(B) + hypre_ParCSRMatrixNumRows(A),
hypre_CSRMatrixJ(B),
hypre_CSRMatrixData(B) );
hypre_CSRMatrixDestroy(E_diag);
hypre_CSRMatrixDestroy(E_offd);
*B_ptr = B;
*num_cols_offd_ptr = num_cols_offd;
*cols_map_offd_ptr = cols_map_offd;
return hypre_error_flag;
}
#else
HYPRE_Int
hypre_ConcatDiagOffdAndExtDevice(hypre_ParCSRMatrix *A,
hypre_CSRMatrix *E,
hypre_CSRMatrix **B_ptr,
HYPRE_Int *num_cols_offd_ptr,
HYPRE_BigInt **cols_map_offd_ptr)
{
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Int A_nrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int A_ncols = hypre_CSRMatrixNumCols(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
HYPRE_Complex *A_diag_a = hypre_CSRMatrixData(A_diag);
HYPRE_Int A_diag_nnz = hypre_CSRMatrixNumNonzeros(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Complex *A_offd_a = hypre_CSRMatrixData(A_offd);
HYPRE_Int A_offd_nnz = hypre_CSRMatrixNumNonzeros(A_offd);
HYPRE_BigInt first_col_A = hypre_ParCSRMatrixFirstColDiag(A);
HYPRE_BigInt last_col_A = hypre_ParCSRMatrixLastColDiag(A);
HYPRE_Int num_cols_offd_A = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixDeviceColMapOffd(A);
HYPRE_Int *E_i = hypre_CSRMatrixI(E);
HYPRE_BigInt *E_bigj = hypre_CSRMatrixBigJ(E);
HYPRE_Complex *E_a = hypre_CSRMatrixData(E);
HYPRE_Int E_nrows = hypre_CSRMatrixNumRows(E);
HYPRE_Int E_nnz = hypre_CSRMatrixNumNonzeros(E);
HYPRE_Int E_diag_nnz, E_offd_nnz;
hypre_CSRMatrix *B;
HYPRE_Int B_nnz = A_diag_nnz + A_offd_nnz + E_nnz;
HYPRE_Int *B_ii = hypre_TAlloc(HYPRE_Int, B_nnz, HYPRE_MEMORY_DEVICE);
HYPRE_Int *B_j = hypre_TAlloc(HYPRE_Int, B_nnz, HYPRE_MEMORY_DEVICE);
HYPRE_Complex *B_a = hypre_TAlloc(HYPRE_Complex, B_nnz, HYPRE_MEMORY_DEVICE);
// E
hypre_CSRMatrixSplitDevice_core(0, E_nrows, E_nnz, NULL, E_bigj, NULL, NULL, first_col_A, last_col_A, num_cols_offd_A,
NULL, NULL, NULL, NULL, &E_diag_nnz, NULL, NULL, NULL, NULL, &E_offd_nnz,
NULL, NULL, NULL, NULL);
HYPRE_Int *cols_offd_map, num_cols_offd;
HYPRE_BigInt *cols_map_offd;
HYPRE_Int *E_ii = hypreDevice_CsrRowPtrsToIndices(E_nrows, E_nnz, E_i);
hypre_CSRMatrixSplitDevice_core(1,
E_nrows, E_nnz, E_ii, E_bigj, E_a, NULL,
first_col_A, last_col_A, num_cols_offd_A, col_map_offd_A,
&cols_offd_map, &num_cols_offd, &cols_map_offd,
&E_diag_nnz,
B_ii + A_diag_nnz + A_offd_nnz,
B_j + A_diag_nnz + A_offd_nnz,
B_a + A_diag_nnz + A_offd_nnz,
NULL,
&E_offd_nnz,
B_ii + A_diag_nnz + A_offd_nnz + E_diag_nnz,
B_j + A_diag_nnz + A_offd_nnz + E_diag_nnz,
B_a + A_diag_nnz + A_offd_nnz + E_diag_nnz,
NULL);
hypre_TFree(E_ii, HYPRE_MEMORY_DEVICE);
HYPRE_THRUST_CALL( transform,
B_ii + A_diag_nnz + A_offd_nnz,
B_ii + B_nnz,
thrust::make_constant_iterator(A_nrows),
B_ii + A_diag_nnz + A_offd_nnz,
thrust::plus<HYPRE_Int>() );
// Adiag
HYPRE_Int *A_diag_ii = hypreDevice_CsrRowPtrsToIndices(A_nrows, A_diag_nnz, A_diag_i);
HYPRE_THRUST_CALL( copy_n,
thrust::make_zip_iterator(thrust::make_tuple(A_diag_ii, A_diag_j, A_diag_a)),
A_diag_nnz,
thrust::make_zip_iterator(thrust::make_tuple(B_ii, B_j, B_a)) );
hypre_TFree(A_diag_ii, HYPRE_MEMORY_DEVICE);
// Aoffd
HYPRE_Int *A_offd_ii = hypreDevice_CsrRowPtrsToIndices(A_nrows, A_offd_nnz, A_offd_i);
HYPRE_THRUST_CALL( copy_n,
thrust::make_zip_iterator(thrust::make_tuple(A_offd_ii, A_offd_a)),
A_offd_nnz,
thrust::make_zip_iterator(thrust::make_tuple(B_ii, B_a)) + A_diag_nnz );
hypre_TFree(A_offd_ii, HYPRE_MEMORY_DEVICE);
HYPRE_THRUST_CALL( gather,
A_offd_j,
A_offd_j + A_offd_nnz,
cols_offd_map,
B_j + A_diag_nnz);
hypre_TFree(cols_offd_map, HYPRE_MEMORY_DEVICE);
HYPRE_THRUST_CALL( transform,
B_j + A_diag_nnz,
B_j + A_diag_nnz + A_offd_nnz,
thrust::make_constant_iterator(A_ncols),
B_j + A_diag_nnz,
thrust::plus<HYPRE_Int>() );
HYPRE_THRUST_CALL( transform,
B_j + A_diag_nnz + A_offd_nnz + E_diag_nnz,
B_j + B_nnz,
thrust::make_constant_iterator(A_ncols),
B_j + A_diag_nnz + A_offd_nnz + E_diag_nnz,
thrust::plus<HYPRE_Int>() );
// B
HYPRE_THRUST_CALL( stable_sort_by_key,
B_ii,
B_ii + B_nnz,
thrust::make_zip_iterator(thrust::make_tuple(B_j, B_a)) );
HYPRE_Int *B_i = hypreDevice_CsrRowIndicesToPtrs(A_nrows + E_nrows, B_nnz, B_ii);
hypre_TFree(B_ii, HYPRE_MEMORY_DEVICE);
B = hypre_CSRMatrixCreate(A_nrows + E_nrows, A_ncols + num_cols_offd, B_nnz);
hypre_CSRMatrixI(B) = B_i;
hypre_CSRMatrixJ(B) = B_j;
hypre_CSRMatrixData(B) = B_a;
hypre_CSRMatrixMemoryLocation(B) = HYPRE_MEMORY_DEVICE;
*B_ptr = B;
*num_cols_offd_ptr = num_cols_offd;
*cols_map_offd_ptr = cols_map_offd;
return hypre_error_flag;
}
#endif
HYPRE_Int
hypre_ParCSRMatrixGetRowDevice( hypre_ParCSRMatrix *mat,
HYPRE_BigInt row,
HYPRE_Int *size,
HYPRE_BigInt **col_ind,
HYPRE_Complex **values )
{
HYPRE_Int nrows, local_row;
HYPRE_BigInt row_start, row_end;
hypre_CSRMatrix *Aa;
hypre_CSRMatrix *Ba;
if (!mat)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
Aa = (hypre_CSRMatrix *) hypre_ParCSRMatrixDiag(mat);
Ba = (hypre_CSRMatrix *) hypre_ParCSRMatrixOffd(mat);
if (hypre_ParCSRMatrixGetrowactive(mat))
{
return(-1);
}
hypre_ParCSRMatrixGetrowactive(mat) = 1;
#ifdef HYPRE_NO_GLOBAL_PARTITION
row_start = hypre_ParCSRMatrixFirstRowIndex(mat);
row_end = hypre_ParCSRMatrixLastRowIndex(mat) + 1;
#else
HYPRE_Int my_id;
hypre_MPI_Comm_rank(hypre_ParCSRMatrixComm(mat), &my_id);
row_end = hypre_ParCSRMatrixRowStarts(mat)[ my_id + 1 ];
row_start = hypre_ParCSRMatrixRowStarts(mat)[ my_id ];
#endif
nrows = row_end - row_start;
if (row < row_start || row >= row_end)
{
return(-1);
}
local_row = row - row_start;
/* if buffer is not allocated and some information is requested, allocate buffer with the max row_nnz */
if ( !hypre_ParCSRMatrixRowvalues(mat) && (col_ind || values) )
{
HYPRE_Int max_row_nnz;
HYPRE_Int *row_nnz = hypre_TAlloc(HYPRE_Int, nrows, HYPRE_MEMORY_DEVICE);
hypreDevice_GetRowNnz(nrows, NULL, hypre_CSRMatrixI(Aa), hypre_CSRMatrixI(Ba), row_nnz);
hypre_TMemcpy(size, row_nnz + local_row, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
max_row_nnz = HYPRE_THRUST_CALL(reduce, row_nnz, row_nnz + nrows, 0, thrust::maximum<HYPRE_Int>());
/*
HYPRE_Int *max_row_nnz_d = HYPRE_THRUST_CALL(max_element, row_nnz, row_nnz + nrows);
hypre_TMemcpy( &max_row_nnz, max_row_nnz_d,
HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE );
*/
hypre_TFree(row_nnz, HYPRE_MEMORY_DEVICE);
hypre_ParCSRMatrixRowvalues(mat) =
(HYPRE_Complex *) hypre_TAlloc(HYPRE_Complex, max_row_nnz, hypre_ParCSRMatrixMemoryLocation(mat));
hypre_ParCSRMatrixRowindices(mat) =
(HYPRE_BigInt *) hypre_TAlloc(HYPRE_BigInt, max_row_nnz, hypre_ParCSRMatrixMemoryLocation(mat));
}
else
{
HYPRE_Int *size_d = hypre_TAlloc(HYPRE_Int, 1, HYPRE_MEMORY_DEVICE);
hypreDevice_GetRowNnz(1, NULL, hypre_CSRMatrixI(Aa) + local_row, hypre_CSRMatrixI(Ba) + local_row, size_d);
hypre_TMemcpy(size, size_d, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
hypre_TFree(size_d, HYPRE_MEMORY_DEVICE);
}
if (col_ind || values)
{
if (hypre_ParCSRMatrixDeviceColMapOffd(mat) == NULL)
{
hypre_ParCSRMatrixDeviceColMapOffd(mat) =
hypre_TAlloc(HYPRE_BigInt, hypre_CSRMatrixNumCols(Ba), HYPRE_MEMORY_DEVICE);
hypre_TMemcpy( hypre_ParCSRMatrixDeviceColMapOffd(mat),
hypre_ParCSRMatrixColMapOffd(mat),
HYPRE_BigInt,
hypre_CSRMatrixNumCols(Ba),
HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST );
}
hypreDevice_CopyParCSRRows( 1, NULL, -1, Ba != NULL,
hypre_ParCSRMatrixFirstColDiag(mat),
hypre_ParCSRMatrixDeviceColMapOffd(mat),
hypre_CSRMatrixI(Aa) + local_row,
hypre_CSRMatrixJ(Aa),
hypre_CSRMatrixData(Aa),
hypre_CSRMatrixI(Ba) + local_row,
hypre_CSRMatrixJ(Ba),
hypre_CSRMatrixData(Ba),
NULL,
hypre_ParCSRMatrixRowindices(mat),
hypre_ParCSRMatrixRowvalues(mat) );
}
if (col_ind)
{
*col_ind = hypre_ParCSRMatrixRowindices(mat);
}
if (values)
{
*values = hypre_ParCSRMatrixRowvalues(mat);
}
hypre_SyncCudaComputeStream(hypre_handle());
return hypre_error_flag;
}
/* abs == 1, use absolute values
* option == 0, drop all the entries that are smaller than tol
* TODO more options
*/
HYPRE_Int
hypre_ParCSRMatrixDropSmallEntriesDevice( hypre_ParCSRMatrix *A,
HYPRE_Complex tol,
HYPRE_Int abs,
HYPRE_Int option)
{
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *h_col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixDeviceColMapOffd(A);
if (col_map_offd_A == NULL)
{
col_map_offd_A = hypre_TAlloc(HYPRE_BigInt, num_cols_A_offd, HYPRE_MEMORY_DEVICE);
hypre_TMemcpy(col_map_offd_A, h_col_map_offd_A, HYPRE_BigInt, num_cols_A_offd,
HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixDeviceColMapOffd(A) = col_map_offd_A;
}
hypre_CSRMatrixDropSmallEntriesDevice(A_diag, tol, abs, option);
hypre_CSRMatrixDropSmallEntriesDevice(A_offd, tol, abs, option);
hypre_ParCSRMatrixSetNumNonzeros(A);
hypre_ParCSRMatrixDNumNonzeros(A) = (HYPRE_Real) hypre_ParCSRMatrixNumNonzeros(A);
/* squeeze out zero columns of A_offd */
HYPRE_Int *tmp_j, *tmp_end, num_cols_A_offd_new;
tmp_j = hypre_TAlloc(HYPRE_Int, hypre_CSRMatrixNumNonzeros(A_offd), HYPRE_MEMORY_DEVICE);
hypre_TMemcpy(tmp_j, hypre_CSRMatrixJ(A_offd), HYPRE_Int, hypre_CSRMatrixNumNonzeros(A_offd),
HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_DEVICE);
HYPRE_THRUST_CALL( sort,
tmp_j,
tmp_j + hypre_CSRMatrixNumNonzeros(A_offd) );
tmp_end = HYPRE_THRUST_CALL( unique,
tmp_j,
tmp_j + hypre_CSRMatrixNumNonzeros(A_offd) );
num_cols_A_offd_new = tmp_end - tmp_j;
hypre_assert(num_cols_A_offd_new <= num_cols_A_offd);
if (num_cols_A_offd_new < num_cols_A_offd)
{
hypre_CSRMatrixNumCols(A_offd) = num_cols_A_offd_new;
HYPRE_Int *offd_mark = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_DEVICE);
HYPRE_BigInt *col_map_offd_A_new = hypre_TAlloc(HYPRE_BigInt, num_cols_A_offd_new, HYPRE_MEMORY_DEVICE);
HYPRE_THRUST_CALL( scatter,
thrust::counting_iterator<HYPRE_Int>(0),
thrust::counting_iterator<HYPRE_Int>(num_cols_A_offd_new),
tmp_j,
offd_mark );
HYPRE_THRUST_CALL( gather,
hypre_CSRMatrixJ(A_offd),
hypre_CSRMatrixJ(A_offd) + hypre_CSRMatrixNumNonzeros(A_offd),
offd_mark,
hypre_CSRMatrixJ(A_offd) );
HYPRE_THRUST_CALL( gather,
tmp_j,
tmp_j + num_cols_A_offd_new,
col_map_offd_A,
col_map_offd_A_new );
hypre_TFree(offd_mark, HYPRE_MEMORY_DEVICE);
hypre_TFree(col_map_offd_A, HYPRE_MEMORY_DEVICE);
hypre_TFree(h_col_map_offd_A, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixDeviceColMapOffd(A) = col_map_offd_A_new;
hypre_ParCSRMatrixColMapOffd(A) = hypre_TAlloc(HYPRE_BigInt, num_cols_A_offd_new, HYPRE_MEMORY_HOST);
hypre_TMemcpy(hypre_ParCSRMatrixColMapOffd(A), col_map_offd_A_new, HYPRE_BigInt, num_cols_A_offd_new,
HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
}
hypre_TFree(tmp_j, HYPRE_MEMORY_DEVICE);
return hypre_error_flag;
}
#endif // #if defined(HYPRE_USING_CUDA)
/*--------------------------------------------------------------------------
* HYPRE_ParCSRDiagScale
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParCSRDiagScale( HYPRE_ParCSRMatrix HA,
HYPRE_ParVector Hy,
HYPRE_ParVector Hx )
{
hypre_ParCSRMatrix *A = (hypre_ParCSRMatrix *) HA;
hypre_ParVector *y = (hypre_ParVector *) Hy;
hypre_ParVector *x = (hypre_ParVector *) Hx;
HYPRE_Real *x_data = hypre_VectorData(hypre_ParVectorLocalVector(x));
HYPRE_Real *y_data = hypre_VectorData(hypre_ParVectorLocalVector(y));
HYPRE_Real *A_data = hypre_CSRMatrixData(hypre_ParCSRMatrixDiag(A));
HYPRE_Int *A_i = hypre_CSRMatrixI(hypre_ParCSRMatrixDiag(A));
HYPRE_Int local_size = hypre_VectorSize(hypre_ParVectorLocalVector(x));
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_CUDA)
hypreDevice_DiagScaleVector(local_size, A_i, A_data, y_data, x_data);
//hypre_SyncCudaComputeStream(hypre_handle());
#else /* #if defined(HYPRE_USING_CUDA) */
HYPRE_Int i;
#if defined(HYPRE_USING_DEVICE_OPENMP)
#pragma omp target teams distribute parallel for private(i) is_device_ptr(x_data,y_data,A_data,A_i)
#elif defined(HYPRE_USING_OPENMP)
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < local_size; i++)
{
x_data[i] = y_data[i]/A_data[A_i[i]];
}
#endif /* #if defined(HYPRE_USING_CUDA) */
return ierr;
}
|
GB_binop__plus_fc32.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__plus_fc32)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__plus_fc32)
// A.*B function (eWiseMult): GB (_AemultB_03__plus_fc32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__plus_fc32)
// A*D function (colscale): GB (_AxD__plus_fc32)
// D*A function (rowscale): GB (_DxB__plus_fc32)
// C+=B function (dense accum): GB (_Cdense_accumB__plus_fc32)
// C+=b function (dense accum): GB (_Cdense_accumb__plus_fc32)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__plus_fc32)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__plus_fc32)
// C=scalar+B GB (_bind1st__plus_fc32)
// C=scalar+B' GB (_bind1st_tran__plus_fc32)
// C=A+scalar GB (_bind2nd__plus_fc32)
// C=A'+scalar GB (_bind2nd_tran__plus_fc32)
// C type: GxB_FC32_t
// A type: GxB_FC32_t
// B,b type: GxB_FC32_t
// BinaryOp: cij = GB_FC32_add (aij, bij)
#define GB_ATYPE \
GxB_FC32_t
#define GB_BTYPE \
GxB_FC32_t
#define GB_CTYPE \
GxB_FC32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC32_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
GxB_FC32_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC32_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = GB_FC32_add (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_PLUS || GxB_NO_FC32 || GxB_NO_PLUS_FC32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__plus_fc32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__plus_fc32)
(
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__plus_fc32)
(
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__plus_fc32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC32_t
GxB_FC32_t bwork = (*((GxB_FC32_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__plus_fc32)
(
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
GxB_FC32_t *restrict Cx = (GxB_FC32_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__plus_fc32)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t *restrict Cx = (GxB_FC32_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__plus_fc32)
(
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__plus_fc32)
(
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__plus_fc32)
(
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__plus_fc32)
(
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__plus_fc32)
(
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__plus_fc32)
(
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
GxB_FC32_t *Cx = (GxB_FC32_t *) Cx_output ;
GxB_FC32_t x = (*((GxB_FC32_t *) x_input)) ;
GxB_FC32_t *Bx = (GxB_FC32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
GxB_FC32_t bij = Bx [p] ;
Cx [p] = GB_FC32_add (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__plus_fc32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC32_t *Cx = (GxB_FC32_t *) Cx_output ;
GxB_FC32_t *Ax = (GxB_FC32_t *) Ax_input ;
GxB_FC32_t y = (*((GxB_FC32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
GxB_FC32_t aij = Ax [p] ;
Cx [p] = GB_FC32_add (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC32_t aij = Ax [pA] ; \
Cx [pC] = GB_FC32_add (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__plus_fc32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t x = (*((const GxB_FC32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC32_t aij = Ax [pA] ; \
Cx [pC] = GB_FC32_add (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__plus_fc32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC32_t y = (*((const GxB_FC32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
util.h | /******************************************************************************
* util.h
*
* Is included in the .test.c drivers.
* Search for "default" to find where the default values for command-line options
* are set.
*
* Also includes the various max, min, and floord definitions we need for iscc-generated code.
******************************************************************************/
//==== Needed for generated and modified iscc code.
#define min(a,b) ((a)>(b)?(b):(a))
#define max(a,b) ((a)>(b)?(a):(b))
#if defined NDEBUG
#define eassert(X) 0
#else
static inline int eassert_function(int fact, int line, char *fact_text)
{
if (!fact)
{
fprintf(stderr, "assertion failed, line %d: %s\n", line, fact_text);
exit(1);
}
else
return 0;
}
#define eassert(X) eassert_function(X, __LINE__, "X")
#endif
// FIXME: Dave W, what is going on with ASSUME_POSITIVE_INTMOD?
#if ! defined ASSUME_POSITIVE_INTMOD
#define ASSUME_POSITIVE_INTMOD 0
#endif
#if ASSUME_POSITIVE_INTMOD
#define intDiv(x,y) (eassert(((x)%(y)) >= 0), ((x)/(y)))
#define intMod(x,y) (eassert(((x)%(y)) >= 0), ((x)%(y)))
#else
#define intDiv_(x,y) ((((x)%(y))>=0) ? ((x)/(y)) : (((x)/(y)) -1))
#define intMod_(x,y) ((((x)%(y))>=0) ? ((x)%(y)) : (((x)%(y)) +y))
#define checkIntDiv(x,y) (eassert((y) > 0 && intMod_((x),(y)) >= 0 && intMod_((x),(y)) <= (y) && x==((y)*intDiv_((x),(y)) + intMod_((x),(y)))))
#define intDiv(x,y) (checkIntDiv((x),(y)), intDiv_((x),(y)))
#define intMod(x,y) (checkIntDiv((x),(y)), intMod_((x),(y)))
#endif
#define ceild(n, d) intDiv((n), (d)) + ((intMod((n),(d))>0)?1:0)
#define floord(n, d) intDiv((n), (d))
int omp_thread_count() {
int n = 0;
#pragma omp parallel reduction(+:n)
n += 1;
return n;
}
//==== parse int abstraction from strtol
int parseInt( char* string ){
return (int) strtol( string, NULL, 10 );
}
//==== verification
// All that verification does is to run the exact same
// computation in a serial manner.
// Therefore, all we are checking is that our we did not break it when
// going parallel
bool verifyResultJacobi1D(double* result,int problemSize,int seed,int steps){
// run serial Jacobi 1D
int lowerBound = 1;
int upperBound = lowerBound + problemSize - 1;
int x;
int t, read = 0, write = 1;
double* space[2];
bool failed = false;
space[0] = (double*) malloc( (problemSize + 2) * sizeof(double));
space[1] = (double*) malloc( (problemSize + 2) * sizeof(double));
if( space[0] == NULL || space[1] == NULL ){
printf( "Could not allocate space array\n" );
exit(-1);
}
srand(seed);
// seed the space.
for( x = lowerBound; x <= upperBound; ++x ){
space[0][x] = rand() / (double)rand();
}
// set halo values (sanity)
space[0][0] = 0;
space[0][upperBound+1] = 0;
space[1][0] = 0;
space[1][upperBound+1] = 0;
for( t = 1; t <= steps; ++t ){
for( x = lowerBound; x <= upperBound; ++x ){
space[write][x] = (space[read][x-1] +
space[read][x] +
space[read][x+1])/3;
}
read = write;
write = 1 - write;
}
for( x = lowerBound; x <= upperBound; ++x ){
if( space[read][x] != result[x] ){
fprintf(stderr,"Position: %d, values: %f, %f\n",
x,space[read][x],result[x]);
failed = true;
break;
}
}
return !failed;
}
/******************************************************************************
* Command Line Parsing
*
* Each benchmark has its own command line parsing because the
* options vary slightly depending on the tiling approach used.
******************************************************************************/
typedef struct {
// common parameters
int T; // time step
int globalSeed;
int cores;
int problemSize;
bool verify;
bool printtime;
//==== needed for tiling (ignored by some)
int timeBand; // time band
int width_max;
// diamond tiling approaches derived from iscc
// Height (i.e., number of slices) in diamond slab.
// Equivalent to timeBand, but not using that because error checking
// is related to tau and different.
// See Jacobi2D-DiamondSlabISCCParam-OMP.test.c for error checking.
int subset_s;
// width between tiling hyperplanes, only use command-line param
// if tau was not set at compile time
// See Jacobi2D-DiamondSlabISCCParam-OMP.test.c after call to
// parseCmdLineArgs to see an example of how this works.
int tau_runtime;
// this is being used for the naive space tiling
int tile_len_x;
int tile_len_y;
} Params;
int parseCmdLineArgs(Params *cmdLineArgs, int argc, char* argv[]){
// set default values
cmdLineArgs->T = 100;
cmdLineArgs->globalSeed = time(NULL);
//cmdLineArgs->cores = omp_thread_count();
cmdLineArgs->cores = omp_get_max_threads();
cmdLineArgs->problemSize = 100;
cmdLineArgs->verify = false;
cmdLineArgs->printtime = true;
cmdLineArgs->timeBand = 10;
cmdLineArgs->width_max = 54701;
// diamond tile size, can be any multiple of 3 >=15
cmdLineArgs->tau_runtime = 30;
// max val for this
cmdLineArgs->subset_s = (cmdLineArgs->tau_runtime / 3) -2;
// this is a random number, so don't ask me why I chose it
cmdLineArgs->tile_len_x = 128;
cmdLineArgs->tile_len_y = 128;
// process incoming
char c;
while ((c = getopt (argc, argv, "nc:s:p:T:x:y:a:w:t:hv")) != -1){
switch( c ) {
case 'n': // print time
cmdLineArgs->printtime = false;
break;
case 'c': // cores
cmdLineArgs->cores = parseInt( optarg );
if(cmdLineArgs->cores <= 0){
fprintf(stderr, "cores must be greater than 0: %d\n",
cmdLineArgs->cores);
exit( -1 );
}
break;
case 'p': // problem size
cmdLineArgs->problemSize = parseInt( optarg );
if( cmdLineArgs->problemSize <= 0 ){
fprintf(stderr, "problemSize must be greater than 0: %d\n",
cmdLineArgs->problemSize);
exit( -1 );
}
break;
case 'T': // T (time steps)
cmdLineArgs->T = parseInt( optarg );
if( cmdLineArgs->T <= 0 ){
fprintf(stderr, "T must be greater than 0: %d\n", cmdLineArgs->T);
exit( -1 );
}
break;
case 't': // timeBand
cmdLineArgs->timeBand = parseInt( optarg );
if( cmdLineArgs->timeBand <= 0 ){
fprintf(stderr, "t must be greater than 0: %d\n",
cmdLineArgs->timeBand);
exit( -1 );
}
break;
case 'w': // width
cmdLineArgs->width_max = parseInt( optarg );
if( cmdLineArgs->width_max <= 0 ){
fprintf(stderr, "w must be greater than 0: %d\n",
cmdLineArgs->width_max);
exit( -1 );
}
break;
case 'a': // tau_runtime
cmdLineArgs->tau_runtime = parseInt( optarg );
if( cmdLineArgs->tau_runtime <= 1 ){
fprintf(stderr,
"-a tau must be greater than 1:"
" current value is %d\n",
cmdLineArgs->tau_runtime);
exit( -1 );
}
break;
case 'x': // tile_len
cmdLineArgs->tile_len_x = parseInt( optarg );
if( cmdLineArgs->tile_len_x < 1){
fprintf(stderr, "-x: must be >= 1\n");
exit(-1);
}
break;
case 'y': // tile_len
cmdLineArgs->tile_len_y = parseInt( optarg );
if( cmdLineArgs->tile_len_y < 1){
fprintf(stderr, "-y: must be >= 1\n");
exit(-1);
}
break;
// Have to check in driver as well.
// See Jacobi2D-DiamondSlabISCCParam-OMP.test.c for same check.
case 's': // subset_s
cmdLineArgs->subset_s = parseInt( optarg );
// s is the number of non-pointy bit 2D slices of diamond tiling
// that is available for the current tile size.
int s = (cmdLineArgs->tau_runtime/3) - 2;
// subset_s is an input parameter indicating how many of those
// slices we want to use in the repeated tiling pattern.
// subset_s should be less than s and greater than or equal to 2.
if (cmdLineArgs->subset_s > s || cmdLineArgs->subset_s<2) {
fprintf(stderr, "-s: need 2<=subset_s<=s\n");
exit(-1);
}
break;
case 'h': // help
printf("usage: %s\n"
"-n \t dont print time \n"
"-p <problem size> \t problem size in elements \n"
"-T <time steps>\t number of time steps\n"
"-c <cores>\tnumber of threads\n"
"-w <max tile width>\tmax tile width for Jacobi1D-DiamondSlabByHand\n"
"-a <tau>\tdistance between tiling hyperplanes (all diamond(slab) but ByHand)\n"
"-s <subset_s>\tnumber of slices in slab (all diamondslab but ByHand)\n"
"-h\tusage help, this dialogue\n"
"-v\tverify output\n", argv[0]);
exit(0);
case 'v': // verify;
cmdLineArgs->verify = true;
break;
case '?':
if (optopt == 'p'){
fprintf (stderr,
"Option -%c requires positive int argument: problem size.\n",
optopt);
}else if (optopt == 'T'){
fprintf (stderr,
"Option -%c requires positive int argument: T.\n",
optopt);
}else if (optopt == 's'){
fprintf (stderr,
"Option -%c requires int argument: subset_s.\n",
optopt);
}else if (optopt == 'c'){
fprintf (stderr,
"Option -%c requires int argument: number of cores.\n",
optopt);
}else if (isprint (optopt)){
fprintf (stderr, "Unknown option `-%c'.\n", optopt);
}else{
fprintf(stderr, "Unknown option character `\\x%x'.\n", optopt);
}
exit(-1);
default:
exit(0);
}
}
omp_set_num_threads( cmdLineArgs->cores );
return 0;
}
// returns true if valid result
bool verifyResultJacobi2D( double** result,int problemSize,int seed,int steps){
int i;
int lowerBound = 1;
int upperBound = lowerBound + problemSize - 1;
// allocate and initialize the space
double** space[2];
// allocate x axis
space[0] = (double**) malloc( (problemSize + 2) * sizeof(double*));
space[1] = (double**) malloc( (problemSize + 2) * sizeof(double*));
if( space[0] == NULL || space[1] == NULL ){
printf( "Could not allocate x axis of space array\n" );
exit(0);
}
// allocate y axis
for( i = 0; i < problemSize + 2; ++i ){
space[0][i] = (double*) malloc( (problemSize + 2) * sizeof(double));
space[1][i] = (double*) malloc( (problemSize + 2) * sizeof(double));
if( space[0][i] == NULL || space[1][i] == NULL ){
printf( "Could not allocate y axis of space array\n" );
exit(0);
}
}
// use global seed to seed the random number gen (will be constant)
srand(seed);
// seed the space.
int x, y;
for( x = lowerBound; x <= upperBound; ++x ){
for( y = lowerBound; y <= upperBound; ++y ){
space[0][x][y] = rand() / (double)rand();
}
}
// set halo values (sanity)
for( i = 0; i < problemSize + 2; ++i){
space[0][i][0] = 0;
space[1][i][0] = 0;
space[0][i][problemSize + 1] = 0;
space[1][i][problemSize + 1] = 0;
space[0][0][i] = 0;
space[1][0][i] = 0;
space[0][problemSize + 1][i] = 0;
space[1][problemSize + 1][i] = 0;
}
int t,read = 0, write = 1;
for( t = 1; t <= steps; ++t ){
for( x = lowerBound; x <= upperBound; ++x ){
for( y = lowerBound; y <= upperBound; ++y ){
space[write][x][y] = ( space[read][x-1][y] +
space[read][x][y] +
space[read][x+1][y] +
space[read][x][y+1] +
space[read][x][y-1] )/5;
}
}
read = write;
write = 1 - write;
}
bool failed = false;
for( x = lowerBound; x <= upperBound; ++x ){
for( y = lowerBound; y <= upperBound; ++y ){
if( result[x][y] != space[ steps & 1 ][x][y] ){
failed = true;
break;
}
}
if( failed ) break;
}
return !failed;
}
|
GB_binop__lxor_bool.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__lxor_bool)
// A.*B function (eWiseMult): GB (_AemultB_08__lxor_bool)
// A.*B function (eWiseMult): GB (_AemultB_02__lxor_bool)
// A.*B function (eWiseMult): GB (_AemultB_04__lxor_bool)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__lxor_bool)
// A*D function (colscale): GB (_AxD__lxor_bool)
// D*A function (rowscale): GB (_DxB__lxor_bool)
// C+=B function (dense accum): GB (_Cdense_accumB__lxor_bool)
// C+=b function (dense accum): GB (_Cdense_accumb__lxor_bool)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__lxor_bool)
// C=scalar+B GB (_bind1st__lxor_bool)
// C=scalar+B' GB (_bind1st_tran__lxor_bool)
// C=A+scalar GB (_bind2nd__lxor_bool)
// C=A'+scalar GB (_bind2nd_tran__lxor_bool)
// C type: bool
// A type: bool
// A pattern? 0
// B type: bool
// B pattern? 0
// BinaryOp: cij = (aij != bij)
#define GB_ATYPE \
bool
#define GB_BTYPE \
bool
#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 \
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) \
bool aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
bool bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x != y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LXOR || GxB_NO_BOOL || GxB_NO_LXOR_BOOL)
//------------------------------------------------------------------------------
// 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__lxor_bool)
(
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__lxor_bool)
(
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__lxor_bool)
(
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 bool
bool bwork = (*((bool *) 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__lxor_bool)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__lxor_bool)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__lxor_bool)
(
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) ;
bool alpha_scalar ;
bool beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((bool *) alpha_scalar_in)) ;
beta_scalar = (*((bool *) 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__lxor_bool)
(
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__lxor_bool)
(
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__lxor_bool)
(
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__lxor_bool)
(
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__lxor_bool)
(
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 ;
bool x = (*((bool *) x_input)) ;
bool *Bx = (bool *) 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 ;
bool 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__lxor_bool)
(
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 ;
bool *Ax = (bool *) Ax_input ;
bool y = (*((bool *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
bool 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) \
{ \
bool aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x != aij) ; \
}
GrB_Info GB (_bind1st_tran__lxor_bool)
(
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 \
bool
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool x = (*((const bool *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
bool
}
//------------------------------------------------------------------------------
// 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) \
{ \
bool aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij != y) ; \
}
GrB_Info GB (_bind2nd_tran__lxor_bool)
(
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
bool y = (*((const bool *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
SpatialConvolutionMM.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/SpatialConvolutionMM.c"
#else
static inline void THNN_(SpatialConvolutionMM_shapeCheck)(
THTensor *input, THTensor *gradOutput,
THTensor *weight, THTensor *bias,
int kH, int kW, int dH, int dW, int padH, int padW) {
THArgCheck(kW > 0 && kH > 0, 9,
"kernel size should be greater than zero, but got kH: %d kW: %d", kH, kW);
THArgCheck(dW > 0 && dH > 0, 11,
"stride should be greater than zero, but got dH: %d dW: %d", dH, dW);
THNN_ARGCHECK(weight->nDimension == 2 || weight->nDimension == 4, 5, weight,
"2D or 4D weight tensor expected, but got: %s");
if (bias != NULL) {
THNN_CHECK_DIM_SIZE(bias, 1, 0, weight->size[0]);
}
int ndim = input->nDimension;
int dimf = 0;
int dimh = 1;
int dimw = 2;
if (ndim == 4) {
dimf++;
dimh++;
dimw++;
}
THNN_ARGCHECK(ndim == 3 || ndim == 4, 2, input,
"3D or 4D input tensor expected but got: %s");
int64_t nInputPlane = weight->size[1] / (kH * kW);
int64_t inputHeight = input->size[dimh];
int64_t inputWidth = input->size[dimw];
int64_t nOutputPlane = weight->size[0];
int64_t outputHeight = (inputHeight + 2*padH - kH) / dH + 1;
int64_t outputWidth = (inputWidth + 2*padW - kW) / dW + 1;
if (outputWidth < 1 || outputHeight < 1)
THError("Given input size: (%d x %d x %d). "
"Calculated output size: (%d x %d x %d). Output size is too small",
nInputPlane,inputHeight,inputWidth,nOutputPlane,outputHeight,outputWidth);
THNN_CHECK_DIM_SIZE(input, ndim, dimf, nInputPlane);
if (gradOutput != NULL) {
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimf, nOutputPlane);
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimh, outputHeight);
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimw, outputWidth);
}
}
static THTensor* THNN_(view_weight_MM2d)(THTensor *weight) {
weight = THTensor_(newContiguous)(weight);
if (weight->nDimension == 4) {
int64_t s1 = weight->size[0];
int64_t s2 = weight->size[1] * weight->size[2] * weight->size[3];
THTensor *old_weight = weight;
weight = THTensor_(newWithStorage2d)(weight->storage, weight->storageOffset,
s1, -1, s2, -1);
THTensor_(free)(old_weight);
}
return weight;
}
static void THNN_(SpatialConvolutionMM_updateOutput_frame)(
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH,
int64_t nInputPlane,
int64_t inputWidth,
int64_t inputHeight,
int64_t nOutputPlane,
int64_t outputWidth,
int64_t outputHeight)
{
int64_t i;
THTensor *output2d;
THNN_(unfolded_copy)(finput, input, kW, kH, dW, dH, padW, padH,
nInputPlane, inputWidth, inputHeight,
outputWidth, outputHeight);
output2d = THTensor_(newWithStorage2d)(output->storage, output->storageOffset,
nOutputPlane, -1,
outputHeight*outputWidth, -1);
if (bias) {
for(i = 0; i < nOutputPlane; i++)
THVector_(fill)
(output->storage->data + output->storageOffset + output->stride[0] * i,
THTensor_(get1d)(bias, i), outputHeight*outputWidth);
} else {
THTensor_(zero)(output);
}
THTensor_(addmm)(output2d, 1, output2d, 1, weight, finput);
THTensor_(free)(output2d);
}
void THNN_(SpatialConvolutionMM_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH)
{
weight = THNN_(view_weight_MM2d)(weight);
THNN_(SpatialConvolutionMM_shapeCheck)
(input, NULL, weight, bias, kH, kW, dH, dW, padH, padW);
input = THTensor_(newContiguous)(input);
int ndim = input->nDimension;
int dimf = 0;
int dimh = 1;
int dimw = 2;
if (ndim == 4) {
dimf++;
dimh++;
dimw++;
}
int64_t nInputPlane = input->size[dimf];
int64_t inputHeight = input->size[dimh];
int64_t inputWidth = input->size[dimw];
int64_t nOutputPlane = weight->size[0];
int64_t outputHeight = (inputHeight + 2*padH - kH) / dH + 1;
int64_t outputWidth = (inputWidth + 2*padW - kW) / dW + 1;
if(input->nDimension == 3)
{
THTensor_(resize2d)(finput, kW*kH*nInputPlane, outputHeight*outputWidth);
THTensor_(resize3d)(output, nOutputPlane, outputHeight, outputWidth);
THNN_(SpatialConvolutionMM_updateOutput_frame)
(input, output, weight, bias, finput,
kW, kH, dW, dH, padW, padH,
nInputPlane, inputWidth, inputHeight,
nOutputPlane, outputWidth, outputHeight);
}
else
{
int64_t T = input->size[0];
int64_t t;
THTensor_(resize3d)(finput, T, kW*kH*nInputPlane, outputHeight*outputWidth);
THTensor_(resize4d)(output, T, nOutputPlane, outputHeight, outputWidth);
#pragma omp parallel for private(t)
for(t = 0; t < T; t++)
{
THTensor *input_t = THTensor_(newSelect)(input, 0, t);
THTensor *output_t = THTensor_(newSelect)(output, 0, t);
THTensor *finput_t = THTensor_(newSelect)(finput, 0, t);
THNN_(SpatialConvolutionMM_updateOutput_frame)
(input_t, output_t, weight, bias, finput_t,
kW, kH, dW, dH, padW, padH,
nInputPlane, inputWidth, inputHeight,
nOutputPlane, outputWidth, outputHeight);
THTensor_(free)(input_t);
THTensor_(free)(output_t);
THTensor_(free)(finput_t);
}
}
THTensor_(free)(input);
THTensor_(free)(weight);
}
static void THNN_(SpatialConvolutionMM_updateGradInput_frame)(
THTensor *gradInput,
THTensor *gradOutput,
THTensor *weight,
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH)
{
THTensor *gradOutput2d = THTensor_(newWithStorage2d)
(gradOutput->storage, gradOutput->storageOffset,
gradOutput->size[0], -1,
gradOutput->size[1]*gradOutput->size[2], -1);
THTensor_(addmm)(fgradInput, 0, fgradInput, 1, weight, gradOutput2d);
THTensor_(free)(gradOutput2d);
THTensor_(zero)(gradInput);
THNN_(unfolded_acc)(fgradInput, gradInput, kW, kH, dW, dH,
padW, padH,
gradInput->size[0], gradInput->size[2], gradInput->size[1],
gradOutput->size[2], gradOutput->size[1]);
}
void THNN_(SpatialConvolutionMM_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *finput,
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH)
{
weight = THNN_(view_weight_MM2d)(weight);
THNN_(SpatialConvolutionMM_shapeCheck)
(input, gradOutput, weight, NULL, kH, kW, dH, dW, padH, padW);
input = THTensor_(newContiguous)(input);
gradOutput = THTensor_(newContiguous)(gradOutput);
THTensor_(resizeAs)(gradInput, input);
THTensor_(resizeAs)(fgradInput, finput);
// depending on the BLAS library, fgradInput (result tensor) might
// be left uninitialized on zero alpha, which might lead to weird behavior
// hence, to be safe, zero it
THTensor_(zero)(fgradInput);
THTensor *tweight = THTensor_(new)();
THTensor_(transpose)(tweight, weight, 0, 1);
if(input->nDimension == 3)
{
THNN_(SpatialConvolutionMM_updateGradInput_frame)(gradInput, gradOutput,
tweight, fgradInput,
kW, kH, dW, dH, padW, padH);
}
else
{
int64_t T = input->size[0];
int64_t t;
#pragma omp parallel for private(t)
for(t = 0; t < T; t++)
{
THTensor *gradInput_t = THTensor_(newSelect)(gradInput, 0, t);
THTensor *gradOutput_t = THTensor_(newSelect)(gradOutput, 0, t);
THTensor *fgradInput_t = THTensor_(newSelect)(fgradInput, 0, t);
THNN_(SpatialConvolutionMM_updateGradInput_frame)(gradInput_t, gradOutput_t,
tweight, fgradInput_t,
kW, kH, dW, dH, padW, padH);
THTensor_(free)(gradInput_t);
THTensor_(free)(gradOutput_t);
THTensor_(free)(fgradInput_t);
}
}
THTensor_(free)(tweight);
THTensor_(free)(input);
THTensor_(free)(gradOutput);
THTensor_(free)(weight);
}
static void THNN_(SpatialConvolutionMM_accGradParameters_frame)(
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
real scale)
{
int64_t i;
THTensor *gradOutput2d = THTensor_(newWithStorage2d)
(gradOutput->storage, gradOutput->storageOffset,
gradOutput->size[0], -1,
gradOutput->size[1]*gradOutput->size[2], -1);
THTensor *tfinput = THTensor_(new)();
THTensor_(transpose)(tfinput, finput, 0, 1);
THTensor_(addmm)(gradWeight, 1, gradWeight, scale, gradOutput2d, tfinput);
THTensor_(free)(tfinput);
if (gradBias) {
for(i = 0; i < gradBias->size[0]; i++)
{
int64_t k;
real sum = 0;
real *data = gradOutput2d->storage->data + gradOutput2d->storageOffset + i*gradOutput2d->stride[0];
for(k = 0; k < gradOutput2d->size[1]; k++)
sum += data[k];
(gradBias->storage->data + gradBias->storageOffset)[i] += scale*sum;
}
}
THTensor_(free)(gradOutput2d);
}
void THNN_(SpatialConvolutionMM_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH,
accreal scale_)
{
THArgCheck(THTensor_(isContiguous)(gradWeight), 4, "gradWeight needs to be contiguous");
if (gradBias)
THArgCheck(THTensor_(isContiguous)(gradBias), 5, "gradBias needs to be contiguous");
real scale = TH_CONVERT_ACCREAL_TO_REAL(scale_);
gradWeight = THNN_(view_weight_MM2d)(gradWeight);
THNN_(SpatialConvolutionMM_shapeCheck)
(input, gradOutput, gradWeight, gradBias, kH, kW, dH, dW, padH, padW);
input = THTensor_(newContiguous)(input);
gradOutput = THTensor_(newContiguous)(gradOutput);
if(input->nDimension == 3)
{
THNN_(SpatialConvolutionMM_accGradParameters_frame)(gradOutput, gradWeight,
gradBias, finput, scale);
}
else
{
int64_t T = input->size[0];
int64_t t;
for(t = 0; t < T; t++)
{
THTensor *gradOutput_t = THTensor_(newSelect)(gradOutput, 0, t);
THTensor *finput_t = THTensor_(newSelect)(finput, 0, t);
THNN_(SpatialConvolutionMM_accGradParameters_frame)(gradOutput_t, gradWeight,
gradBias, finput_t, scale);
THTensor_(free)(gradOutput_t);
THTensor_(free)(finput_t);
}
}
THTensor_(free)(input);
THTensor_(free)(gradOutput);
THTensor_(free)(gradWeight);
}
#endif
|
libimagequant.c | /* pngquant.c - quantize the colors in an alphamap down to a specified number
**
** Copyright (C) 1989, 1991 by Jef Poskanzer.
** Copyright (C) 1997, 2000, 2002 by Greg Roelofs; based on an idea by
** Stefan Schneider.
** © 2009-2013 by Kornel Lesinski.
**
** Permission to use, copy, modify, and distribute this software and its
** documentation for any purpose and without fee is hereby granted, provided
** that the above copyright notice appear in all copies and that both that
** copyright notice and this permission notice appear in supporting
** documentation. This software is provided "as is" without express or
** implied warranty.
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdarg.h>
#include <stdbool.h>
#include <stdint.h>
#include <limits.h>
#if !(defined(__STDC_VERSION__) && __STDC_VERSION__ >= 199900L) && !(defined(_MSC_VER) && _MSC_VER >= 1800)
#error "This program requires C99, e.g. -std=c99 switch in GCC or it requires MSVC 18.0 or higher."
#error "Ignore torrent of syntax errors that may follow. It's only because compiler is set to use too old C version."
#endif
#ifdef _OPENMP
#include <omp.h>
#else
#define omp_get_max_threads() 1
#define omp_get_thread_num() 0
#endif
#include "libimagequant.h"
#include "pam.h"
#include "mediancut.h"
#include "nearest.h"
#include "blur.h"
#include "viter.h"
#define LIQ_HIGH_MEMORY_LIMIT (1<<26) /* avoid allocating buffers larger than 64MB */
// each structure has a pointer as a unique identifier that allows type checking at run time
static const char *const liq_attr_magic = "liq_attr", *const liq_image_magic = "liq_image",
*const liq_result_magic = "liq_result", *const liq_remapping_result_magic = "liq_remapping_result",
*const liq_freed_magic = "free";
#define CHECK_STRUCT_TYPE(attr, kind) liq_crash_if_invalid_handle_pointer_given((const liq_attr*)attr, kind ## _magic)
#define CHECK_USER_POINTER(ptr) liq_crash_if_invalid_pointer_given(ptr)
struct liq_attr {
const char *magic_header;
void* (*malloc)(size_t);
void (*free)(void*);
double target_mse, max_mse, voronoi_iteration_limit;
float min_opaque_val;
unsigned int max_colors, max_histogram_entries;
unsigned int min_posterization_output /* user setting */, min_posterization_input /* speed setting */;
unsigned int voronoi_iterations, feedback_loop_trials;
bool last_index_transparent, use_contrast_maps, use_dither_map, fast_palette;
unsigned int speed;
liq_log_callback_function *log_callback;
void *log_callback_user_info;
liq_log_flush_callback_function *log_flush_callback;
void *log_flush_callback_user_info;
};
struct liq_image {
const char *magic_header;
void* (*malloc)(size_t);
void (*free)(void*);
f_pixel *f_pixels;
rgba_pixel **rows;
double gamma;
unsigned int width, height;
unsigned char *noise, *edges, *dither_map;
rgba_pixel *pixels, *temp_row;
f_pixel *temp_f_row;
liq_image_get_rgba_row_callback *row_callback;
void *row_callback_user_info;
float min_opaque_val;
bool free_pixels, free_rows, free_rows_internal;
};
typedef struct liq_remapping_result {
const char *magic_header;
void* (*malloc)(size_t);
void (*free)(void*);
unsigned char *pixels;
colormap *palette;
liq_palette int_palette;
double gamma, palette_error;
float dither_level;
bool use_dither_map;
} liq_remapping_result;
struct liq_result {
const char *magic_header;
void* (*malloc)(size_t);
void (*free)(void*);
liq_remapping_result *remapping;
colormap *palette;
liq_palette int_palette;
float dither_level;
double gamma, palette_error;
int min_posterization_output;
bool use_dither_map, fast_palette;
};
static liq_result *pngquant_quantize(histogram *hist, const liq_attr *options, double gamma);
static void modify_alpha(liq_image *input_image, rgba_pixel *const row_pixels);
static void contrast_maps(liq_image *image);
static histogram *get_histogram(liq_image *input_image, const liq_attr *options);
static const rgba_pixel *liq_image_get_row_rgba(liq_image *input_image, unsigned int row);
static const f_pixel *liq_image_get_row_f(liq_image *input_image, unsigned int row);
static void liq_remapping_result_destroy(liq_remapping_result *result);
static void liq_verbose_printf(const liq_attr *context, const char *fmt, ...)
{
if (context->log_callback) {
va_list va;
va_start(va, fmt);
int required_space = vsnprintf(NULL, 0, fmt, va)+1; // +\0
va_end(va);
char buf[required_space];
va_start(va, fmt);
vsnprintf(buf, required_space, fmt, va);
va_end(va);
context->log_callback(context, buf, context->log_callback_user_info);
}
}
inline static void verbose_print(const liq_attr *attr, const char *msg)
{
if (attr->log_callback) {
attr->log_callback(attr, msg, attr->log_callback_user_info);
}
}
static void liq_verbose_printf_flush(liq_attr *attr)
{
if (attr->log_flush_callback) {
attr->log_flush_callback(attr, attr->log_flush_callback_user_info);
}
}
#if USE_SSE
inline static bool is_sse_available()
{
#if (defined(__x86_64__) || defined(__amd64))
return true;
#else
int a,b,c,d;
cpuid(1, a, b, c, d);
return d & (1<<25); // edx bit 25 is set when SSE is present
#endif
}
#endif
/* make it clear in backtrace when user-supplied handle points to invalid memory */
NEVER_INLINE LIQ_EXPORT bool liq_crash_if_invalid_handle_pointer_given(const liq_attr *user_supplied_pointer, const char *const expected_magic_header);
LIQ_EXPORT bool liq_crash_if_invalid_handle_pointer_given(const liq_attr *user_supplied_pointer, const char *const expected_magic_header)
{
if (!user_supplied_pointer) {
return false;
}
if (user_supplied_pointer->magic_header == liq_freed_magic) {
fprintf(stderr, "%s used after being freed", expected_magic_header);
// this is not normal error handling, this is programmer error that should crash the program.
// program cannot safely continue if memory has been used after it's been freed.
// abort() is nasty, but security vulnerability may be worse.
abort();
}
return user_supplied_pointer->magic_header == expected_magic_header;
}
NEVER_INLINE LIQ_EXPORT bool liq_crash_if_invalid_pointer_given(void *pointer);
LIQ_EXPORT bool liq_crash_if_invalid_pointer_given(void *pointer)
{
if (!pointer) {
return false;
}
// Force a read from the given (potentially invalid) memory location in order to check early whether this crashes the program or not.
// It doesn't matter what value is read, the code here is just to shut the compiler up about unused read.
char test_access = *((volatile char *)pointer);
return test_access || true;
}
static void liq_log_error(const liq_attr *attr, const char *msg) {
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return;
liq_verbose_printf(attr, " error: %s", msg);
}
static double quality_to_mse(long quality)
{
if (quality == 0) {
return MAX_DIFF;
}
if (quality == 100) {
return 0;
}
// curve fudged to be roughly similar to quality of libjpeg
// except lowest 10 for really low number of colors
const double extra_low_quality_fudge = MAX(0,0.016/(0.001+quality) - 0.001);
return extra_low_quality_fudge + 2.5/pow(210.0 + quality, 1.2) * (100.1-quality)/100.0;
}
static unsigned int mse_to_quality(double mse)
{
for(int i=100; i > 0; i--) {
if (mse <= quality_to_mse(i) + 0.000001) { // + epsilon for floating point errors
return i;
}
}
return 0;
}
LIQ_EXPORT liq_error liq_set_quality(liq_attr* attr, int minimum, int target)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return LIQ_INVALID_POINTER;
if (target < 0 || target > 100 || target < minimum || minimum < 0) return LIQ_VALUE_OUT_OF_RANGE;
attr->target_mse = quality_to_mse(target);
attr->max_mse = quality_to_mse(minimum);
return LIQ_OK;
}
LIQ_EXPORT int liq_get_min_quality(const liq_attr *attr)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return -1;
return mse_to_quality(attr->max_mse);
}
LIQ_EXPORT int liq_get_max_quality(const liq_attr *attr)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return -1;
return mse_to_quality(attr->target_mse);
}
LIQ_EXPORT liq_error liq_set_max_colors(liq_attr* attr, int colors)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return LIQ_INVALID_POINTER;
if (colors < 2 || colors > 256) return LIQ_VALUE_OUT_OF_RANGE;
attr->max_colors = colors;
return LIQ_OK;
}
LIQ_EXPORT int liq_get_max_colors(const liq_attr *attr)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return -1;
return attr->max_colors;
}
LIQ_EXPORT liq_error liq_set_min_posterization(liq_attr *attr, int bits)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return LIQ_INVALID_POINTER;
if (bits < 0 || bits > 4) return LIQ_VALUE_OUT_OF_RANGE;
attr->min_posterization_output = bits;
return LIQ_OK;
}
LIQ_EXPORT int liq_get_min_posterization(const liq_attr *attr)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return -1;
return attr->min_posterization_output;
}
LIQ_EXPORT liq_error liq_set_speed(liq_attr* attr, int speed)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return LIQ_INVALID_POINTER;
if (speed < 1 || speed > 10) return LIQ_VALUE_OUT_OF_RANGE;
int iterations = MAX(8-speed,0); iterations += iterations * iterations/2;
attr->voronoi_iterations = iterations;
attr->voronoi_iteration_limit = 1.0/(double)(1<<(23-speed));
attr->feedback_loop_trials = MAX(56-9*speed, 0);
attr->max_histogram_entries = (1<<17) + (1<<18)*(10-speed);
attr->min_posterization_input = (speed >= 8) ? 1 : 0;
attr->fast_palette = (speed >= 7);
attr->use_dither_map = (speed <= (omp_get_max_threads() > 1 ? 7 : 5)); // parallelized dither map might speed up floyd remapping
attr->use_contrast_maps = (speed <= 7) || attr->use_dither_map;
attr->speed = speed;
return LIQ_OK;
}
LIQ_EXPORT int liq_get_speed(const liq_attr *attr)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return -1;
return attr->speed;
}
LIQ_EXPORT liq_error liq_set_output_gamma(liq_result* res, double gamma)
{
if (!CHECK_STRUCT_TYPE(res, liq_result)) return LIQ_INVALID_POINTER;
if (gamma <= 0 || gamma >= 1.0) return LIQ_VALUE_OUT_OF_RANGE;
if (res->remapping) {
liq_remapping_result_destroy(res->remapping);
res->remapping = NULL;
}
res->gamma = gamma;
return LIQ_OK;
}
LIQ_EXPORT liq_error liq_set_min_opacity(liq_attr* attr, int min)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return LIQ_INVALID_POINTER;
if (min < 0 || min > 255) return LIQ_VALUE_OUT_OF_RANGE;
attr->min_opaque_val = (double)min/255.0;
return LIQ_OK;
}
LIQ_EXPORT int liq_get_min_opacity(const liq_attr *attr)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return -1;
return MIN(255, 256.0 * attr->min_opaque_val);
}
LIQ_EXPORT void liq_set_last_index_transparent(liq_attr* attr, int is_last)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return;
attr->last_index_transparent = !!is_last;
}
LIQ_EXPORT void liq_set_log_callback(liq_attr *attr, liq_log_callback_function *callback, void* user_info)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return;
liq_verbose_printf_flush(attr);
attr->log_callback = callback;
attr->log_callback_user_info = user_info;
}
LIQ_EXPORT void liq_set_log_flush_callback(liq_attr *attr, liq_log_flush_callback_function *callback, void* user_info)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return;
attr->log_flush_callback = callback;
attr->log_flush_callback_user_info = user_info;
}
LIQ_EXPORT liq_attr* liq_attr_create()
{
return liq_attr_create_with_allocator(NULL, NULL);
}
LIQ_EXPORT void liq_attr_destroy(liq_attr *attr)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) {
return;
}
liq_verbose_printf_flush(attr);
attr->magic_header = liq_freed_magic;
attr->free(attr);
}
LIQ_EXPORT liq_attr* liq_attr_copy(liq_attr *orig)
{
if (!CHECK_STRUCT_TYPE(orig, liq_attr)) {
return NULL;
}
liq_attr *attr = orig->malloc(sizeof(liq_attr));
if (!attr) return NULL;
*attr = *orig;
return attr;
}
static void *liq_aligned_malloc(size_t size)
{
unsigned char *ptr = malloc(size + 16);
if (!ptr) {
return NULL;
}
uintptr_t offset = 16 - ((uintptr_t)ptr & 15); // also reserves 1 byte for ptr[-1]
ptr += offset;
assert(0 == (((uintptr_t)ptr) & 15));
ptr[-1] = offset ^ 0x59; // store how much pointer was shifted to get the original for free()
return ptr;
}
static void liq_aligned_free(void *inptr)
{
unsigned char *ptr = inptr;
size_t offset = ptr[-1] ^ 0x59;
assert(offset > 0 && offset <= 16);
free(ptr - offset);
}
LIQ_EXPORT liq_attr* liq_attr_create_with_allocator(void* (*custom_malloc)(size_t), void (*custom_free)(void*))
{
#if USE_SSE
if (!is_sse_available()) {
return NULL;
}
#endif
if (!custom_malloc && !custom_free) {
custom_malloc = liq_aligned_malloc;
custom_free = liq_aligned_free;
} else if (!custom_malloc != !custom_free) {
return NULL; // either specify both or none
}
liq_attr *attr = custom_malloc(sizeof(liq_attr));
if (!attr) return NULL;
*attr = (liq_attr) {
.magic_header = liq_attr_magic,
.malloc = custom_malloc,
.free = custom_free,
.max_colors = 256,
.min_opaque_val = 1, // whether preserve opaque colors for IE (1.0=no, does not affect alpha)
.last_index_transparent = false, // puts transparent color at last index. This is workaround for blu-ray subtitles.
.target_mse = 0,
.max_mse = MAX_DIFF,
};
liq_set_speed(attr, 3);
return attr;
}
static bool liq_image_use_low_memory(liq_image *img)
{
img->temp_f_row = img->malloc(sizeof(img->f_pixels[0]) * img->width * omp_get_max_threads());
return img->temp_f_row != NULL;
}
static bool liq_image_should_use_low_memory(liq_image *img, const bool low_memory_hint)
{
return img->width * img->height * sizeof(f_pixel) > (low_memory_hint ? LIQ_HIGH_MEMORY_LIMIT/8 : LIQ_HIGH_MEMORY_LIMIT);
}
static liq_image *liq_image_create_internal(liq_attr *attr, rgba_pixel* rows[], liq_image_get_rgba_row_callback *row_callback, void *row_callback_user_info, int width, int height, double gamma)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) {
return NULL;
}
if (width <= 0 || height <= 0) {
liq_log_error(attr, "width and height must be > 0");
return NULL;
}
if (gamma < 0 || gamma > 1.0) {
liq_log_error(attr, "gamma must be >= 0 and <= 1 (try 1/gamma instead)");
return NULL;
}
if (!rows && !row_callback) {
liq_log_error(attr, "missing row data");
return NULL;
}
liq_image *img = attr->malloc(sizeof(liq_image));
if (!img) return NULL;
*img = (liq_image){
.magic_header = liq_image_magic,
.malloc = attr->malloc,
.free = attr->free,
.width = width, .height = height,
.gamma = gamma ? gamma : 0.45455,
.rows = rows,
.row_callback = row_callback,
.row_callback_user_info = row_callback_user_info,
.min_opaque_val = attr->min_opaque_val,
};
if (!rows || attr->min_opaque_val < 1.f) {
img->temp_row = attr->malloc(sizeof(img->temp_row[0]) * width * omp_get_max_threads());
if (!img->temp_row) return NULL;
}
// if image is huge or converted pixels are not likely to be reused then don't cache converted pixels
if (liq_image_should_use_low_memory(img, !img->temp_row && !attr->use_contrast_maps && !attr->use_dither_map)) {
verbose_print(attr, " conserving memory");
if (!liq_image_use_low_memory(img)) return NULL;
}
if (img->min_opaque_val < 1.f) {
verbose_print(attr, " Working around IE6 bug by making image less transparent...");
}
return img;
}
LIQ_EXPORT liq_error liq_image_set_memory_ownership(liq_image *img, int ownership_flags)
{
if (!CHECK_STRUCT_TYPE(img, liq_image)) return LIQ_INVALID_POINTER;
if (!img->rows || !ownership_flags || (ownership_flags & ~(LIQ_OWN_ROWS|LIQ_OWN_PIXELS))) {
return LIQ_VALUE_OUT_OF_RANGE;
}
if (ownership_flags & LIQ_OWN_ROWS) {
if (img->free_rows_internal) return LIQ_VALUE_OUT_OF_RANGE;
img->free_rows = true;
}
if (ownership_flags & LIQ_OWN_PIXELS) {
img->free_pixels = true;
if (!img->pixels) {
// for simplicity of this API there's no explicit bitmap argument,
// so the row with the lowest address is assumed to be at the start of the bitmap
img->pixels = img->rows[0];
for(unsigned int i=1; i < img->height; i++) {
img->pixels = MIN(img->pixels, img->rows[i]);
}
}
}
return LIQ_OK;
}
LIQ_EXPORT liq_image *liq_image_create_custom(liq_attr *attr, liq_image_get_rgba_row_callback *row_callback, void* user_info, int width, int height, double gamma)
{
return liq_image_create_internal(attr, NULL, row_callback, user_info, width, height, gamma);
}
LIQ_EXPORT liq_image *liq_image_create_rgba_rows(liq_attr *attr, void* rows[], int width, int height, double gamma)
{
if (width <= 0 || height <= 0) {
liq_log_error(attr, "width and height must be > 0");
return NULL;
}
if (width > INT_MAX/16/height || height > INT_MAX/16/width) {
liq_log_error(attr, "image too large");
return NULL;
}
for(int i=0; i < height; i++) {
if (!CHECK_USER_POINTER(rows+i) || !CHECK_USER_POINTER(rows[i])) {
liq_log_error(attr, "invalid row pointers");
return NULL;
}
}
return liq_image_create_internal(attr, (rgba_pixel**)rows, NULL, NULL, width, height, gamma);
}
LIQ_EXPORT liq_image *liq_image_create_rgba(liq_attr *attr, void* bitmap, int width, int height, double gamma)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return NULL;
if (width <= 0 || height <= 0) {
liq_log_error(attr, "width and height must be > 0");
return NULL;
}
if (width > INT_MAX/16/height || height > INT_MAX/16/width) {
liq_log_error(attr, "image too large");
return NULL;
}
if (!CHECK_USER_POINTER(bitmap)) {
liq_log_error(attr, "invalid bitmap pointer");
return NULL;
}
rgba_pixel *pixels = bitmap;
rgba_pixel **rows = attr->malloc(sizeof(rows[0])*height);
if (!rows) return NULL;
for(int i=0; i < height; i++) {
rows[i] = pixels + width * i;
}
liq_image *image = liq_image_create_internal(attr, rows, NULL, NULL, width, height, gamma);
image->free_rows = true;
image->free_rows_internal = true;
return image;
}
NEVER_INLINE LIQ_EXPORT void liq_executing_user_callback(liq_image_get_rgba_row_callback *callback, liq_color *temp_row, int row, int width, void *user_info);
LIQ_EXPORT void liq_executing_user_callback(liq_image_get_rgba_row_callback *callback, liq_color *temp_row, int row, int width, void *user_info)
{
assert(callback);
assert(temp_row);
callback(temp_row, row, width, user_info);
}
inline static bool liq_image_can_use_rows(liq_image *img)
{
const bool iebug = img->min_opaque_val < 1.f;
return (img->rows && !iebug);
}
static const rgba_pixel *liq_image_get_row_rgba(liq_image *img, unsigned int row)
{
if (liq_image_can_use_rows(img)) {
return img->rows[row];
}
assert(img->temp_row);
rgba_pixel *temp_row = img->temp_row + img->width * omp_get_thread_num();
if (img->rows) {
memcpy(temp_row, img->rows[row], img->width * sizeof(temp_row[0]));
} else {
liq_executing_user_callback(img->row_callback, (liq_color*)temp_row, row, img->width, img->row_callback_user_info);
}
if (img->min_opaque_val < 1.f) modify_alpha(img, temp_row);
return temp_row;
}
static void convert_row_to_f(liq_image *img, f_pixel *row_f_pixels, const unsigned int row, const float gamma_lut[])
{
assert(row_f_pixels);
assert(!USE_SSE || 0 == ((uintptr_t)row_f_pixels & 15));
const rgba_pixel *const row_pixels = liq_image_get_row_rgba(img, row);
for(unsigned int col=0; col < img->width; col++) {
row_f_pixels[col] = to_f(gamma_lut, row_pixels[col]);
}
}
static const f_pixel *liq_image_get_row_f(liq_image *img, unsigned int row)
{
if (!img->f_pixels) {
if (img->temp_f_row) {
float gamma_lut[256];
to_f_set_gamma(gamma_lut, img->gamma);
f_pixel *row_for_thread = img->temp_f_row + img->width * omp_get_thread_num();
convert_row_to_f(img, row_for_thread, row, gamma_lut);
return row_for_thread;
}
assert(omp_get_thread_num() == 0);
if (!liq_image_should_use_low_memory(img, false)) {
img->f_pixels = img->malloc(sizeof(img->f_pixels[0]) * img->width * img->height);
}
if (!img->f_pixels) {
if (!liq_image_use_low_memory(img)) return NULL;
return liq_image_get_row_f(img, row);
}
float gamma_lut[256];
to_f_set_gamma(gamma_lut, img->gamma);
for(unsigned int i=0; i < img->height; i++) {
convert_row_to_f(img, &img->f_pixels[i*img->width], i, gamma_lut);
}
}
return img->f_pixels + img->width * row;
}
LIQ_EXPORT int liq_image_get_width(const liq_image *input_image)
{
if (!CHECK_STRUCT_TYPE(input_image, liq_image)) return -1;
return input_image->width;
}
LIQ_EXPORT int liq_image_get_height(const liq_image *input_image)
{
if (!CHECK_STRUCT_TYPE(input_image, liq_image)) return -1;
return input_image->height;
}
typedef void free_func(void*);
free_func *get_default_free_func(liq_image *img)
{
// When default allocator is used then user-supplied pointers must be freed with free()
if (img->free_rows_internal || img->free != liq_aligned_free) {
return img->free;
}
return free;
}
static void liq_image_free_rgba_source(liq_image *input_image)
{
if (input_image->free_pixels && input_image->pixels) {
get_default_free_func(input_image)(input_image->pixels);
input_image->pixels = NULL;
}
if (input_image->free_rows && input_image->rows) {
get_default_free_func(input_image)(input_image->rows);
input_image->rows = NULL;
}
}
LIQ_EXPORT void liq_image_destroy(liq_image *input_image)
{
if (!CHECK_STRUCT_TYPE(input_image, liq_image)) return;
liq_image_free_rgba_source(input_image);
if (input_image->noise) {
input_image->free(input_image->noise);
}
if (input_image->edges) {
input_image->free(input_image->edges);
}
if (input_image->dither_map) {
input_image->free(input_image->dither_map);
}
if (input_image->f_pixels) {
input_image->free(input_image->f_pixels);
}
if (input_image->temp_row) {
input_image->free(input_image->temp_row);
}
input_image->magic_header = liq_freed_magic;
input_image->free(input_image);
}
LIQ_EXPORT liq_result *liq_quantize_image(liq_attr *attr, liq_image *img)
{
if (!CHECK_STRUCT_TYPE(attr, liq_attr)) return NULL;
if (!CHECK_STRUCT_TYPE(img, liq_image)) {
liq_log_error(attr, "invalid image pointer");
return NULL;
}
histogram *hist = get_histogram(img, attr);
if (!hist) {
return NULL;
}
liq_result *result = pngquant_quantize(hist, attr, img->gamma);
pam_freeacolorhist(hist);
return result;
}
LIQ_EXPORT liq_error liq_set_dithering_level(liq_result *res, float dither_level)
{
if (!CHECK_STRUCT_TYPE(res, liq_result)) return LIQ_INVALID_POINTER;
if (res->remapping) {
liq_remapping_result_destroy(res->remapping);
res->remapping = NULL;
}
if (res->dither_level < 0 || res->dither_level > 1.0f) return LIQ_VALUE_OUT_OF_RANGE;
res->dither_level = dither_level;
return LIQ_OK;
}
static liq_remapping_result *liq_remapping_result_create(liq_result *result)
{
if (!CHECK_STRUCT_TYPE(result, liq_result)) {
return NULL;
}
liq_remapping_result *res = result->malloc(sizeof(liq_remapping_result));
if (!res) return NULL;
*res = (liq_remapping_result) {
.magic_header = liq_remapping_result_magic,
.malloc = result->malloc,
.free = result->free,
.dither_level = result->dither_level,
.use_dither_map = result->use_dither_map,
.palette_error = result->palette_error,
.gamma = result->gamma,
.palette = pam_duplicate_colormap(result->palette),
};
return res;
}
LIQ_EXPORT double liq_get_output_gamma(const liq_result *result)
{
if (!CHECK_STRUCT_TYPE(result, liq_result)) return -1;
return result->gamma;
}
static void liq_remapping_result_destroy(liq_remapping_result *result)
{
if (!CHECK_STRUCT_TYPE(result, liq_remapping_result)) return;
if (result->palette) pam_freecolormap(result->palette);
if (result->pixels) result->free(result->pixels);
result->magic_header = liq_freed_magic;
result->free(result);
}
LIQ_EXPORT void liq_result_destroy(liq_result *res)
{
if (!CHECK_STRUCT_TYPE(res, liq_result)) return;
memset(&res->int_palette, 0, sizeof(liq_palette));
if (res->remapping) {
memset(&res->remapping->int_palette, 0, sizeof(liq_palette));
liq_remapping_result_destroy(res->remapping);
}
pam_freecolormap(res->palette);
res->magic_header = liq_freed_magic;
res->free(res);
}
LIQ_EXPORT double liq_get_quantization_error(liq_result *result)
{
if (!CHECK_STRUCT_TYPE(result, liq_result)) return -1;
if (result->palette_error >= 0) {
return result->palette_error*65536.0/6.0;
}
if (result->remapping && result->remapping->palette_error >= 0) {
return result->remapping->palette_error*65536.0/6.0;
}
return result->palette_error;
}
LIQ_EXPORT int liq_get_quantization_quality(liq_result *result)
{
if (!CHECK_STRUCT_TYPE(result, liq_result)) return -1;
if (result->palette_error >= 0) {
return mse_to_quality(result->palette_error);
}
if (result->remapping && result->remapping->palette_error >= 0) {
return mse_to_quality(result->remapping->palette_error);
}
return result->palette_error;
}
static int compare_popularity(const void *ch1, const void *ch2)
{
const float v1 = ((const colormap_item*)ch1)->popularity;
const float v2 = ((const colormap_item*)ch2)->popularity;
return v1 > v2 ? -1 : 1;
}
static void sort_palette_qsort(colormap *map, int start, int nelem)
{
qsort(map->palette + start, nelem, sizeof(map->palette[0]), compare_popularity);
}
#define SWAP_PALETTE(map, a,b) { \
const colormap_item tmp = (map)->palette[(a)]; \
(map)->palette[(a)] = (map)->palette[(b)]; \
(map)->palette[(b)] = tmp; }
static void sort_palette(colormap *map, const liq_attr *options)
{
/*
** Step 3.5 [GRR]: remap the palette colors so that all entries with
** the maximal alpha value (i.e., fully opaque) are at the end and can
** therefore be omitted from the tRNS chunk.
*/
if (options->last_index_transparent) {
for(unsigned int i=0; i < map->colors; i++) {
if (map->palette[i].acolor.a < 1.0/256.0) {
const unsigned int old = i, transparent_dest = map->colors-1;
SWAP_PALETTE(map, transparent_dest, old);
/* colors sorted by popularity make pngs slightly more compressible */
sort_palette_qsort(map, 0, map->colors-1);
return;
}
}
}
/* move transparent colors to the beginning to shrink trns chunk */
unsigned int num_transparent=0;
for(unsigned int i=0; i < map->colors; i++) {
if (map->palette[i].acolor.a < 255.0/256.0) {
// current transparent color is swapped with earlier opaque one
if (i != num_transparent) {
SWAP_PALETTE(map, num_transparent, i);
i--;
}
num_transparent++;
}
}
liq_verbose_printf(options, " eliminated opaque tRNS-chunk entries...%d entr%s transparent", num_transparent, (num_transparent == 1)? "y" : "ies");
/* colors sorted by popularity make pngs slightly more compressible
* opaque and transparent are sorted separately
*/
sort_palette_qsort(map, 0, num_transparent);
sort_palette_qsort(map, num_transparent, map->colors-num_transparent);
if (map->colors > 16) {
SWAP_PALETTE(map, 7, 1); // slightly improves compression
SWAP_PALETTE(map, 8, 2);
SWAP_PALETTE(map, 9, 3);
}
}
inline static unsigned int posterize_channel(unsigned int color, unsigned int bits)
{
return (color & ~((1<<bits)-1)) | (color >> (8-bits));
}
static void set_rounded_palette(liq_palette *const dest, colormap *const map, const double gamma, unsigned int posterize)
{
float gamma_lut[256];
to_f_set_gamma(gamma_lut, gamma);
dest->count = map->colors;
for(unsigned int x = 0; x < map->colors; ++x) {
rgba_pixel px = to_rgb(gamma, map->palette[x].acolor);
px.r = posterize_channel(px.r, posterize);
px.g = posterize_channel(px.g, posterize);
px.b = posterize_channel(px.b, posterize);
px.a = posterize_channel(px.a, posterize);
map->palette[x].acolor = to_f(gamma_lut, px); /* saves rounding error introduced by to_rgb, which makes remapping & dithering more accurate */
if (!px.a) {
px.r = 'L'; px.g = 'i'; px.b = 'q';
}
dest->entries[x] = (liq_color){.r=px.r,.g=px.g,.b=px.b,.a=px.a};
}
}
LIQ_EXPORT const liq_palette *liq_get_palette(liq_result *result)
{
if (!CHECK_STRUCT_TYPE(result, liq_result)) return NULL;
if (result->remapping && result->remapping->int_palette.count) {
return &result->remapping->int_palette;
}
if (!result->int_palette.count) {
set_rounded_palette(&result->int_palette, result->palette, result->gamma, result->min_posterization_output);
}
return &result->int_palette;
}
static float remap_to_palette(liq_image *const input_image, unsigned char *const *const output_pixels, colormap *const map, const bool fast)
{
const int rows = input_image->height;
const unsigned int cols = input_image->width;
const float min_opaque_val = input_image->min_opaque_val;
double remapping_error=0;
if (!liq_image_get_row_f(input_image, 0)) { // trigger lazy conversion
return -1;
}
struct nearest_map *const n = nearest_init(map, fast);
const unsigned int max_threads = omp_get_max_threads();
viter_state average_color[(VITER_CACHE_LINE_GAP+map->colors) * max_threads];
viter_init(map, max_threads, average_color);
#pragma omp parallel for if (rows*cols > 3000) \
schedule(static) default(none) shared(average_color) reduction(+:remapping_error)
for(int row = 0; row < rows; ++row) {
const f_pixel *const row_pixels = liq_image_get_row_f(input_image, row);
unsigned int last_match=0;
for(unsigned int col = 0; col < cols; ++col) {
f_pixel px = row_pixels[col];
float diff;
output_pixels[row][col] = last_match = nearest_search(n, px, last_match, min_opaque_val, &diff);
remapping_error += diff;
viter_update_color(px, 1.0, map, last_match, omp_get_thread_num(), average_color);
}
}
viter_finalize(map, max_threads, average_color);
nearest_free(n);
return remapping_error / (input_image->width * input_image->height);
}
inline static f_pixel get_dithered_pixel(const float dither_level, const float max_dither_error, const f_pixel thiserr, const f_pixel px)
{
/* Use Floyd-Steinberg errors to adjust actual color. */
const float sr = thiserr.r * dither_level,
sg = thiserr.g * dither_level,
sb = thiserr.b * dither_level,
sa = thiserr.a * dither_level;
float ratio = 1.0;
// allowing some overflow prevents undithered bands caused by clamping of all channels
if (px.r + sr > 1.03) ratio = MIN(ratio, (1.03-px.r)/sr);
else if (px.r + sr < 0) ratio = MIN(ratio, px.r/-sr);
if (px.g + sg > 1.03) ratio = MIN(ratio, (1.03-px.g)/sg);
else if (px.g + sg < 0) ratio = MIN(ratio, px.g/-sg);
if (px.b + sb > 1.03) ratio = MIN(ratio, (1.03-px.b)/sb);
else if (px.b + sb < 0) ratio = MIN(ratio, px.b/-sb);
float a = px.a + sa;
if (a > 1.0) { a = 1.0; }
else if (a < 0) { a = 0; }
// If dithering error is crazy high, don't propagate it that much
// This prevents crazy geen pixels popping out of the blue (or red or black! ;)
const float dither_error = sr*sr + sg*sg + sb*sb + sa*sa;
if (dither_error > max_dither_error) {
ratio *= 0.8;
} else if (dither_error < 2.f/256.f/256.f) {
// don't dither areas that don't have noticeable error — makes file smaller
return px;
}
return (f_pixel){
.r=px.r + sr * ratio,
.g=px.g + sg * ratio,
.b=px.b + sb * ratio,
.a=a,
};
}
/**
Uses edge/noise map to apply dithering only to flat areas. Dithering on edges creates jagged lines, and noisy areas are "naturally" dithered.
If output_image_is_remapped is true, only pixels noticeably changed by error diffusion will be written to output image.
*/
static void remap_to_palette_floyd(liq_image *input_image, unsigned char *const output_pixels[], const colormap *map, const float max_dither_error, const bool use_dither_map, const bool output_image_is_remapped, float base_dithering_level)
{
const unsigned int rows = input_image->height, cols = input_image->width;
const unsigned char *dither_map = use_dither_map ? (input_image->dither_map ? input_image->dither_map : input_image->edges) : NULL;
const float min_opaque_val = input_image->min_opaque_val;
const colormap_item *acolormap = map->palette;
struct nearest_map *const n = nearest_init(map, false);
/* Initialize Floyd-Steinberg error vectors. */
f_pixel *restrict thiserr, *restrict nexterr;
thiserr = input_image->malloc((cols + 2) * sizeof(*thiserr) * 2); // +2 saves from checking out of bounds access
nexterr = thiserr + (cols + 2);
srand(12345); /* deterministic dithering is better for comparing results */
if (!thiserr) return;
for (unsigned int col = 0; col < cols + 2; ++col) {
const double rand_max = RAND_MAX;
thiserr[col].r = ((double)rand() - rand_max/2.0)/rand_max/255.0;
thiserr[col].g = ((double)rand() - rand_max/2.0)/rand_max/255.0;
thiserr[col].b = ((double)rand() - rand_max/2.0)/rand_max/255.0;
thiserr[col].a = ((double)rand() - rand_max/2.0)/rand_max/255.0;
}
// response to this value is non-linear and without it any value < 0.8 would give almost no dithering
base_dithering_level = 1.0 - (1.0-base_dithering_level)*(1.0-base_dithering_level)*(1.0-base_dithering_level);
if (dither_map) {
base_dithering_level *= 1.0/255.0; // convert byte to float
}
base_dithering_level *= 15.0/16.0; // prevent small errors from accumulating
bool fs_direction = true;
unsigned int last_match=0;
for (unsigned int row = 0; row < rows; ++row) {
memset(nexterr, 0, (cols + 2) * sizeof(*nexterr));
unsigned int col = (fs_direction) ? 0 : (cols - 1);
const f_pixel *const row_pixels = liq_image_get_row_f(input_image, row);
do {
float dither_level = base_dithering_level;
if (dither_map) {
dither_level *= dither_map[row*cols + col];
}
const f_pixel spx = get_dithered_pixel(dither_level, max_dither_error, thiserr[col + 1], row_pixels[col]);
const unsigned int guessed_match = output_image_is_remapped ? output_pixels[row][col] : last_match;
output_pixels[row][col] = last_match = nearest_search(n, spx, guessed_match, min_opaque_val, NULL);
const f_pixel xp = acolormap[last_match].acolor;
f_pixel err = {
.r = (spx.r - xp.r),
.g = (spx.g - xp.g),
.b = (spx.b - xp.b),
.a = (spx.a - xp.a),
};
// If dithering error is crazy high, don't propagate it that much
// This prevents crazy geen pixels popping out of the blue (or red or black! ;)
if (err.r*err.r + err.g*err.g + err.b*err.b + err.a*err.a > max_dither_error) {
dither_level *= 0.75;
}
const float colorimp = (3.0f + acolormap[last_match].acolor.a)/4.0f * dither_level;
err.r *= colorimp;
err.g *= colorimp;
err.b *= colorimp;
err.a *= dither_level;
/* Propagate Floyd-Steinberg error terms. */
if (fs_direction) {
thiserr[col + 2].a += err.a * (7.f/16.f);
thiserr[col + 2].r += err.r * (7.f/16.f);
thiserr[col + 2].g += err.g * (7.f/16.f);
thiserr[col + 2].b += err.b * (7.f/16.f);
nexterr[col + 2].a = err.a * (1.f/16.f);
nexterr[col + 2].r = err.r * (1.f/16.f);
nexterr[col + 2].g = err.g * (1.f/16.f);
nexterr[col + 2].b = err.b * (1.f/16.f);
nexterr[col + 1].a += err.a * (5.f/16.f);
nexterr[col + 1].r += err.r * (5.f/16.f);
nexterr[col + 1].g += err.g * (5.f/16.f);
nexterr[col + 1].b += err.b * (5.f/16.f);
nexterr[col ].a += err.a * (3.f/16.f);
nexterr[col ].r += err.r * (3.f/16.f);
nexterr[col ].g += err.g * (3.f/16.f);
nexterr[col ].b += err.b * (3.f/16.f);
} else {
thiserr[col ].a += err.a * (7.f/16.f);
thiserr[col ].r += err.r * (7.f/16.f);
thiserr[col ].g += err.g * (7.f/16.f);
thiserr[col ].b += err.b * (7.f/16.f);
nexterr[col ].a = err.a * (1.f/16.f);
nexterr[col ].r = err.r * (1.f/16.f);
nexterr[col ].g = err.g * (1.f/16.f);
nexterr[col ].b = err.b * (1.f/16.f);
nexterr[col + 1].a += err.a * (5.f/16.f);
nexterr[col + 1].r += err.r * (5.f/16.f);
nexterr[col + 1].g += err.g * (5.f/16.f);
nexterr[col + 1].b += err.b * (5.f/16.f);
nexterr[col + 2].a += err.a * (3.f/16.f);
nexterr[col + 2].r += err.r * (3.f/16.f);
nexterr[col + 2].g += err.g * (3.f/16.f);
nexterr[col + 2].b += err.b * (3.f/16.f);
}
// remapping is done in zig-zag
if (fs_direction) {
++col;
if (col >= cols) break;
} else {
if (col <= 0) break;
--col;
}
} while(1);
f_pixel *const temperr = thiserr;
thiserr = nexterr;
nexterr = temperr;
fs_direction = !fs_direction;
}
input_image->free(MIN(thiserr, nexterr)); // MIN because pointers were swapped
nearest_free(n);
}
/* histogram contains information how many times each color is present in the image, weighted by importance_map */
static histogram *get_histogram(liq_image *input_image, const liq_attr *options)
{
unsigned int ignorebits=MAX(options->min_posterization_output, options->min_posterization_input);
const unsigned int cols = input_image->width, rows = input_image->height;
if (!input_image->noise && options->use_contrast_maps) {
contrast_maps(input_image);
}
/*
** Step 2: attempt to make a histogram of the colors, unclustered.
** If at first we don't succeed, increase ignorebits to increase color
** coherence and try again.
*/
unsigned int maxcolors = options->max_histogram_entries;
struct acolorhash_table *acht;
const bool all_rows_at_once = liq_image_can_use_rows(input_image);
do {
acht = pam_allocacolorhash(maxcolors, rows*cols, ignorebits, options->malloc, options->free);
if (!acht) return NULL;
// histogram uses noise contrast map for importance. Color accuracy in noisy areas is not very important.
// noise map does not include edges to avoid ruining anti-aliasing
for(unsigned int row=0; row < rows; row++) {
bool added_ok;
if (all_rows_at_once) {
added_ok = pam_computeacolorhash(acht, (const rgba_pixel *const *)input_image->rows, cols, rows, input_image->noise);
if (added_ok) break;
} else {
const rgba_pixel* rows_p[1] = { liq_image_get_row_rgba(input_image, row) };
added_ok = pam_computeacolorhash(acht, rows_p, cols, 1, input_image->noise ? &input_image->noise[row * cols] : NULL);
}
if (!added_ok) {
ignorebits++;
liq_verbose_printf(options, " too many colors! Scaling colors to improve clustering... %d", ignorebits);
pam_freeacolorhash(acht);
acht = NULL;
break;
}
}
} while(!acht);
if (input_image->noise) {
input_image->free(input_image->noise);
input_image->noise = NULL;
}
if (input_image->free_pixels && input_image->f_pixels) {
liq_image_free_rgba_source(input_image); // bow can free the RGBA source if copy has been made in f_pixels
}
histogram *hist = pam_acolorhashtoacolorhist(acht, input_image->gamma, options->malloc, options->free);
pam_freeacolorhash(acht);
if (hist) {
liq_verbose_printf(options, " made histogram...%d colors found", hist->size);
}
return hist;
}
static void modify_alpha(liq_image *input_image, rgba_pixel *const row_pixels)
{
/* IE6 makes colors with even slightest transparency completely transparent,
thus to improve situation in IE, make colors that are less than ~10% transparent
completely opaque */
const float min_opaque_val = input_image->min_opaque_val;
const float almost_opaque_val = min_opaque_val * 169.f/256.f;
const unsigned int almost_opaque_val_int = (min_opaque_val * 169.f/256.f)*255.f;
for(unsigned int col = 0; col < input_image->width; col++) {
const rgba_pixel px = row_pixels[col];
/* ie bug: to avoid visible step caused by forced opaqueness, linearily raise opaqueness of almost-opaque colors */
if (px.a >= almost_opaque_val_int) {
float al = px.a / 255.f;
al = almost_opaque_val + (al-almost_opaque_val) * (1.f-almost_opaque_val) / (min_opaque_val-almost_opaque_val);
al *= 256.f;
row_pixels[col].a = al >= 255.f ? 255 : al;
}
}
}
/**
Builds two maps:
noise - approximation of areas with high-frequency noise, except straight edges. 1=flat, 0=noisy.
edges - noise map including all edges
*/
static void contrast_maps(liq_image *image)
{
const int cols = image->width, rows = image->height;
if (cols < 4 || rows < 4 || (3*cols*rows) > LIQ_HIGH_MEMORY_LIMIT) {
return;
}
unsigned char *restrict noise = image->malloc(cols*rows);
unsigned char *restrict edges = image->malloc(cols*rows);
unsigned char *restrict tmp = image->malloc(cols*rows);
if (!noise || !edges || !tmp) {
return;
}
const f_pixel *curr_row, *prev_row, *next_row;
curr_row = prev_row = next_row = liq_image_get_row_f(image, 0);
for (int j=0; j < rows; j++) {
prev_row = curr_row;
curr_row = next_row;
next_row = liq_image_get_row_f(image, MIN(rows-1,j+1));
f_pixel prev, curr = curr_row[0], next=curr;
for (int i=0; i < cols; i++) {
prev=curr;
curr=next;
next = curr_row[MIN(cols-1,i+1)];
// contrast is difference between pixels neighbouring horizontally and vertically
const float a = fabsf(prev.a+next.a - curr.a*2.f),
r = fabsf(prev.r+next.r - curr.r*2.f),
g = fabsf(prev.g+next.g - curr.g*2.f),
b = fabsf(prev.b+next.b - curr.b*2.f);
const f_pixel prevl = prev_row[i];
const f_pixel nextl = next_row[i];
const float a1 = fabsf(prevl.a+nextl.a - curr.a*2.f),
r1 = fabsf(prevl.r+nextl.r - curr.r*2.f),
g1 = fabsf(prevl.g+nextl.g - curr.g*2.f),
b1 = fabsf(prevl.b+nextl.b - curr.b*2.f);
const float horiz = MAX(MAX(a,r),MAX(g,b));
const float vert = MAX(MAX(a1,r1),MAX(g1,b1));
const float edge = MAX(horiz,vert);
float z = edge - fabsf(horiz-vert)*.5f;
z = 1.f - MAX(z,MIN(horiz,vert));
z *= z; // noise is amplified
z *= z;
z *= 256.f;
noise[j*cols+i] = z < 256 ? z : 255;
z = (1.f-edge)*256.f;
edges[j*cols+i] = z < 256 ? z : 255;
}
}
// noise areas are shrunk and then expanded to remove thin edges from the map
liq_max3(noise, tmp, cols, rows);
liq_max3(tmp, noise, cols, rows);
liq_blur(noise, tmp, noise, cols, rows, 3);
liq_max3(noise, tmp, cols, rows);
liq_min3(tmp, noise, cols, rows);
liq_min3(noise, tmp, cols, rows);
liq_min3(tmp, noise, cols, rows);
liq_min3(edges, tmp, cols, rows);
liq_max3(tmp, edges, cols, rows);
for(int i=0; i < cols*rows; i++) edges[i] = MIN(noise[i], edges[i]);
image->free(tmp);
image->noise = noise;
image->edges = edges;
}
/**
* Builds map of neighbor pixels mapped to the same palette entry
*
* For efficiency/simplicity it mainly looks for same consecutive pixels horizontally
* and peeks 1 pixel above/below. Full 2d algorithm doesn't improve it significantly.
* Correct flood fill doesn't have visually good properties.
*/
static void update_dither_map(unsigned char *const *const row_pointers, liq_image *input_image)
{
const unsigned int width = input_image->width;
const unsigned int height = input_image->height;
unsigned char *const edges = input_image->edges;
for(unsigned int row=0; row < height; row++) {
unsigned char lastpixel = row_pointers[row][0];
unsigned int lastcol=0;
for(unsigned int col=1; col < width; col++) {
const unsigned char px = row_pointers[row][col];
if (px != lastpixel || col == width-1) {
float neighbor_count = 2.5f + col-lastcol;
unsigned int i=lastcol;
while(i < col) {
if (row > 0) {
unsigned char pixelabove = row_pointers[row-1][i];
if (pixelabove == lastpixel) neighbor_count += 1.f;
}
if (row < height-1) {
unsigned char pixelbelow = row_pointers[row+1][i];
if (pixelbelow == lastpixel) neighbor_count += 1.f;
}
i++;
}
while(lastcol <= col) {
float e = edges[row*width + lastcol] / 255.f;
e *= 1.f - 2.5f/neighbor_count;
edges[row*width + lastcol++] = e * 255.f;
}
lastpixel = px;
}
}
}
input_image->dither_map = input_image->edges;
input_image->edges = NULL;
}
static void adjust_histogram_callback(hist_item *item, float diff)
{
item->adjusted_weight = (item->perceptual_weight+item->adjusted_weight) * (sqrtf(1.f+diff));
}
/**
Repeats mediancut with different histogram weights to find palette with minimum error.
feedback_loop_trials controls how long the search will take. < 0 skips the iteration.
*/
static colormap *find_best_palette(histogram *hist, const liq_attr *options, double *palette_error_p)
{
unsigned int max_colors = options->max_colors;
// if output is posterized it doesn't make sense to aim for perfrect colors, so increase target_mse
// at this point actual gamma is not set, so very conservative posterization estimate is used
const double target_mse = MAX(options->target_mse, pow((1<<options->min_posterization_output)/1024.0, 2));
int feedback_loop_trials = options->feedback_loop_trials;
colormap *acolormap = NULL;
double least_error = MAX_DIFF;
double target_mse_overshoot = feedback_loop_trials>0 ? 1.05 : 1.0;
const double percent = (double)(feedback_loop_trials>0?feedback_loop_trials:1)/100.0;
do {
colormap *newmap = mediancut(hist, options->min_opaque_val, max_colors,
target_mse * target_mse_overshoot, MAX(MAX(90.0/65536.0, target_mse), least_error)*1.2,
options->malloc, options->free);
if (!newmap) {
return NULL;
}
if (feedback_loop_trials <= 0) {
return newmap;
}
// after palette has been created, total error (MSE) is calculated to keep the best palette
// at the same time Voronoi iteration is done to improve the palette
// and histogram weights are adjusted based on remapping error to give more weight to poorly matched colors
const bool first_run_of_target_mse = !acolormap && target_mse > 0;
double total_error = viter_do_iteration(hist, newmap, options->min_opaque_val, first_run_of_target_mse ? NULL : adjust_histogram_callback, !acolormap || options->fast_palette);
// goal is to increase quality or to reduce number of colors used if quality is good enough
if (!acolormap || total_error < least_error || (total_error <= target_mse && newmap->colors < max_colors)) {
if (acolormap) pam_freecolormap(acolormap);
acolormap = newmap;
if (total_error < target_mse && total_error > 0) {
// voronoi iteration improves quality above what mediancut aims for
// this compensates for it, making mediancut aim for worse
target_mse_overshoot = MIN(target_mse_overshoot*1.25, target_mse/total_error);
}
least_error = total_error;
// if number of colors could be reduced, try to keep it that way
// but allow extra color as a bit of wiggle room in case quality can be improved too
max_colors = MIN(newmap->colors+1, max_colors);
feedback_loop_trials -= 1; // asymptotic improvement could make it go on forever
} else {
for(unsigned int j=0; j < hist->size; j++) {
hist->achv[j].adjusted_weight = (hist->achv[j].perceptual_weight + hist->achv[j].adjusted_weight)/2.0;
}
target_mse_overshoot = 1.0;
feedback_loop_trials -= 6;
// if error is really bad, it's unlikely to improve, so end sooner
if (total_error > least_error*4) feedback_loop_trials -= 3;
pam_freecolormap(newmap);
}
liq_verbose_printf(options, " selecting colors...%d%%",100-MAX(0,(int)(feedback_loop_trials/percent)));
}
while(feedback_loop_trials > 0);
// likely_colormap_index (used and set in viter_do_iteration) can't point to index outside colormap
if (acolormap->colors < 256) {
for(unsigned int j=0; j < hist->size; j++) {
if (hist->achv[j].tmp.likely_colormap_index >= acolormap->colors) {
hist->achv[j].tmp.likely_colormap_index = 0; // actual value doesn't matter, as the guess is out of date anyway
}
}
}
*palette_error_p = least_error;
return acolormap;
}
static liq_result *pngquant_quantize(histogram *hist, const liq_attr *options, const double gamma)
{
colormap *acolormap;
double palette_error = -1;
// no point having perfect match with imperfect colors (ignorebits > 0)
const bool fast_palette = options->fast_palette || hist->ignorebits > 0;
// If image has few colors to begin with (and no quality degradation is required)
// then it's possible to skip quantization entirely
if (hist->size <= options->max_colors && options->target_mse == 0) {
acolormap = pam_colormap(hist->size, options->malloc, options->free);
for(unsigned int i=0; i < hist->size; i++) {
acolormap->palette[i].acolor = hist->achv[i].acolor;
acolormap->palette[i].popularity = hist->achv[i].perceptual_weight;
}
palette_error = 0;
} else {
acolormap = find_best_palette(hist, options, &palette_error);
if (!acolormap) {
return NULL;
}
// Voronoi iteration approaches local minimum for the palette
const double max_mse = options->max_mse;
const double iteration_limit = options->voronoi_iteration_limit;
unsigned int iterations = options->voronoi_iterations;
if (!iterations && palette_error < 0 && max_mse < MAX_DIFF) iterations = 1; // otherwise total error is never calculated and MSE limit won't work
if (iterations) {
verbose_print(options, " moving colormap towards local minimum");
double previous_palette_error = MAX_DIFF;
for(unsigned int i=0; i < iterations; i++) {
palette_error = viter_do_iteration(hist, acolormap, options->min_opaque_val, NULL, i==0 || options->fast_palette);
if (fabs(previous_palette_error-palette_error) < iteration_limit) {
break;
}
if (palette_error > max_mse*1.5) { // probably hopeless
if (palette_error > max_mse*3.0) break; // definitely hopeless
iterations++;
}
previous_palette_error = palette_error;
}
}
if (palette_error > max_mse) {
liq_verbose_printf(options, " image degradation MSE=%.3f (Q=%d) exceeded limit of %.3f (%d)",
palette_error*65536.0/6.0, mse_to_quality(palette_error),
max_mse*65536.0/6.0, mse_to_quality(max_mse));
pam_freecolormap(acolormap);
return NULL;
}
}
sort_palette(acolormap, options);
liq_result *result = options->malloc(sizeof(liq_result));
if (!result) return NULL;
*result = (liq_result){
.magic_header = liq_result_magic,
.malloc = options->malloc,
.free = options->free,
.palette = acolormap,
.palette_error = palette_error,
.fast_palette = fast_palette,
.use_dither_map = options->use_dither_map,
.gamma = gamma,
.min_posterization_output = options->min_posterization_output,
};
return result;
}
LIQ_EXPORT liq_error liq_write_remapped_image(liq_result *result, liq_image *input_image, void *buffer, size_t buffer_size)
{
if (!CHECK_STRUCT_TYPE(result, liq_result)) {
return LIQ_INVALID_POINTER;
}
if (!CHECK_STRUCT_TYPE(input_image, liq_image)) {
return LIQ_INVALID_POINTER;
}
if (!CHECK_USER_POINTER(buffer)) {
return LIQ_INVALID_POINTER;
}
const size_t required_size = input_image->width * input_image->height;
if (buffer_size < required_size) {
return LIQ_BUFFER_TOO_SMALL;
}
unsigned char *rows[input_image->height];
unsigned char *buffer_bytes = buffer;
for(unsigned int i=0; i < input_image->height; i++) {
rows[i] = &buffer_bytes[input_image->width * i];
}
return liq_write_remapped_image_rows(result, input_image, rows);
}
LIQ_EXPORT liq_error liq_write_remapped_image_rows(liq_result *quant, liq_image *input_image, unsigned char **row_pointers)
{
if (!CHECK_STRUCT_TYPE(quant, liq_result)) return LIQ_INVALID_POINTER;
if (!CHECK_STRUCT_TYPE(input_image, liq_image)) return LIQ_INVALID_POINTER;
for(unsigned int i=0; i < input_image->height; i++) {
if (!CHECK_USER_POINTER(row_pointers+i) || !CHECK_USER_POINTER(row_pointers[i])) return LIQ_INVALID_POINTER;
}
if (quant->remapping) {
liq_remapping_result_destroy(quant->remapping);
}
liq_remapping_result *const result = quant->remapping = liq_remapping_result_create(quant);
if (!result) return LIQ_OUT_OF_MEMORY;
if (!input_image->edges && !input_image->dither_map && quant->use_dither_map) {
contrast_maps(input_image);
}
/*
** Step 4: map the colors in the image to their closest match in the
** new colormap, and write 'em out.
*/
float remapping_error = result->palette_error;
if (result->dither_level == 0) {
set_rounded_palette(&result->int_palette, result->palette, result->gamma, quant->min_posterization_output);
remapping_error = remap_to_palette(input_image, row_pointers, result->palette, quant->fast_palette);
} else {
const bool generate_dither_map = result->use_dither_map && (input_image->edges && !input_image->dither_map);
if (generate_dither_map) {
// If dithering (with dither map) is required, this image is used to find areas that require dithering
remapping_error = remap_to_palette(input_image, row_pointers, result->palette, quant->fast_palette);
update_dither_map(row_pointers, input_image);
}
// remapping above was the last chance to do voronoi iteration, hence the final palette is set after remapping
set_rounded_palette(&result->int_palette, result->palette, result->gamma, quant->min_posterization_output);
remap_to_palette_floyd(input_image, row_pointers, result->palette,
MAX(remapping_error*2.4, 16.f/256.f), result->use_dither_map, generate_dither_map, result->dither_level);
}
// remapping error from dithered image is absurd, so always non-dithered value is used
// palette_error includes some perceptual weighting from histogram which is closer correlated with dssim
// so that should be used when possible.
if (result->palette_error < 0) {
result->palette_error = remapping_error;
}
return LIQ_OK;
}
|
for-16.c | // PR 24703
// { dg-do compile }
void work(int);
int work_param;
int sphinx_omp_thread_count;
int schedule_loop_cap;
int measure_omp_parallel_for_dynamic (void)
{
int j;
#pragma omp parallel for schedule(dynamic)
for(j=0; j < sphinx_omp_thread_count * schedule_loop_cap; j++)
work(work_param);
return 0;
}
|
3d7pt.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 24;
tile_size[3] = 1024;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
const double alpha = 0.0876;
const double beta = 0.0765;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,8);t1++) {
lbp=max(ceild(t1,2),ceild(16*t1-Nt+3,16));
ubp=min(floord(Nt+Nz-4,16),floord(8*t1+Nz+5,16));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(t1-2,3)),ceild(16*t2-Nz-20,24));t3<=min(min(min(floord(Nt+Ny-4,24),floord(8*t1+Ny+13,24)),floord(16*t2+Ny+12,24)),floord(16*t1-16*t2+Nz+Ny+11,24));t3++) {
for (t4=max(max(max(0,ceild(t1-127,128)),ceild(16*t2-Nz-1020,1024)),ceild(24*t3-Ny-1020,1024));t4<=min(min(min(min(floord(Nt+Nx-4,1024),floord(8*t1+Nx+13,1024)),floord(16*t2+Nx+12,1024)),floord(24*t3+Nx+20,1024)),floord(16*t1-16*t2+Nz+Nx+11,1024));t4++) {
for (t5=max(max(max(max(max(0,8*t1),16*t1-16*t2+1),16*t2-Nz+2),24*t3-Ny+2),1024*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,8*t1+15),16*t2+14),24*t3+22),1024*t4+1022),16*t1-16*t2+Nz+13);t5++) {
for (t6=max(max(16*t2,t5+1),-16*t1+16*t2+2*t5-15);t6<=min(min(16*t2+15,-16*t1+16*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(24*t3,t5+1);t7<=min(24*t3+23,t5+Ny-2);t7++) {
lbv=max(1024*t4,t5+1);
ubv=min(1024*t4+1023,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = ((alpha * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (beta * (((((A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)] + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1]) + A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays (Causing performance degradation
/* for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
*/
return 0;
}
|
ext_problem.h | #pragma once
#pragma omp declare target
// This file contains a list of the global problem variables
// such as grid size, angles, energy groups, etc.
int nx;
int ny;
int nz;
int ng;
int nang;
int noct;
int cmom;
int nmom;
int nmat;
int ichunk;
int timesteps;
double dt;
double dx;
double dy;
double dz;
int outers;
int inners;
double epsi;
double tolr;
// Data
double* source;
double* flux_in;
double* flux_out;
double* flux_i;
double* flux_j;
double* flux_k;
double* denom;
double dd_i;
double* dd_j;
double* dd_k;
double* mu;
double* eta;
double* xi;
double* scat_coeff;
double* time_delta;
double* total_cross_section;
double* weights;
double* velocity;
double* scalar_flux;
double* xs;
int* mat;
double* fixed_source;
double* gg_cs;
int* lma;
double* g2g_source;
double* scalar_mom;
double* scat_cs;
unsigned int* groups_todo;
double* old_outer_scalar;
double* old_inner_scalar;
double* new_scalar;
// Global variable for the timestep
unsigned int global_timestep;
#pragma omp end declare target
|
matrixio.c | /// \file
/// Matrix I/O.
#include "matrixio.h"
#include <stdio.h>
#include <math.h>
#include "sparseMatrix.h"
#include "constants.h"
/// \details
/// Write out sparsity from sparse matrix.
void writeSparsePattern(char* fname, struct SparseMatrixSt* spmatrix, real_t hthresh)
{
char hrow[spmatrix->hsize];
FILE* sFile;
sFile = fopen(fname, "w");
#pragma omp parallel for
for (int i = 0; i < spmatrix->hsize; i++)
{
for (int j = 0; j < spmatrix->hsize; j++)
{
hrow[j] = '.';
}
for (int j = 0; j < spmatrix->iia[i]; j++)
{
if (ABS(spmatrix->val[i][j]) > hthresh)
{
hrow[spmatrix->jja[i][j]] = '*';
}
}
for (int j = 0; j < spmatrix->hsize;j++)
{
fprintf(sFile, "%c", hrow[j]);
}
fprintf(sFile, "\n");
}
fclose(sFile);
}
/// \details
/// Read in hamiltonian matrix from file in Matrix Market format.
void readMTX(char* fname, struct SparseMatrixSt* hmatrix)
{
int hvalue, msum, irow, icol, ind;
char line[100], header1[20], header2[20], header3[20], header4[20], header5[20];
double value;
FILE* hFile;
hFile = fopen(fname, "r");
// Read in header
fscanf(hFile, "%s %s %s %s %s", header1, header2, header3, header4, header5);
// Read in dimensions of matrix as dense and the number of sparse elements
fscanf(hFile, "%d %d %d", &hvalue, &hvalue, &msum);
// Read in elements for sparse matrix
// Read in as 1-based
for (int i = 0; i < msum; i++)
{
fscanf(hFile, "%d %d %lg", &irow, &icol, &value);
irow--; icol--;
ind = hmatrix->iia[irow];
hmatrix->jja[irow][ind] = icol;
hmatrix->val[irow][ind] = value;
hmatrix->iia[irow]++;
}
fclose(hFile);
}
/// \details
/// Write out sparse matrix in Matrix market format.
void writeMTX(char* fname, struct SparseMatrixSt* spmatrix)
{
FILE* mFile;
int msum;
mFile = fopen(fname, "w");
// Write header
fprintf(mFile, "%%%%%%MatrixMarket matrix coordinate real general\n");
// Collect number of non-zero elements
// Write out matrix size as dense and number of non-zero elements
msum = 0;
for (int i = 0; i < spmatrix->hsize; i++)
{
msum += spmatrix->iia[i];
}
fprintf(mFile, "%d %d %d\n", spmatrix->hsize, spmatrix->hsize, msum);
// Write out non-zero elements
for (int i = 0; i < spmatrix->hsize; i++)
{
for (int j = 0; j < spmatrix->iia[i]; j++)
{
fprintf(mFile, "%d %d %lg\n", i+1, spmatrix->jja[i][j]+1, spmatrix->val[i][j]);
}
}
fclose(mFile);
}
|
himeno_multi.c | /*
* Original Source : /tmp/tmp.rutwVzhqmN/1.c
* Language : C
* Compiled Time : 2017-12-06 13:11:03
* Compiler Info : XcodeML/C-FrontEnd
* Compiler Version : 1.0.3
*/
# 1 "/tmp/tmp.rutwVzhqmN/1.c"
typedef void * omp_lock_t;
typedef void * omp_nest_lock_t;
enum anon_type_1_acc_device_t {
acc_device_none = 0,
acc_device_default = 1,
acc_device_host = 2,
acc_device_not_host = 3,
acc_device_nvidia = 4,
acc_device_radeon = 5,
acc_device_xeonphi = 6,
acc_device_pgi_opencl = 7,
acc_device_nvidia_opencl = 8,
acc_device_opencl = 9
};
typedef enum anon_type_1_acc_device_t acc_device_t;
typedef unsigned long size_t;
typedef unsigned char __u_char;
typedef unsigned short __u_short;
typedef unsigned int __u_int;
typedef unsigned long __u_long;
typedef char __int8_t;
typedef unsigned char __uint8_t;
typedef short __int16_t;
typedef unsigned short __uint16_t;
typedef int __int32_t;
typedef unsigned int __uint32_t;
typedef long __int64_t;
typedef unsigned long __uint64_t;
typedef long __quad_t;
typedef unsigned long __u_quad_t;
typedef unsigned long __dev_t;
typedef unsigned int __uid_t;
typedef unsigned int __gid_t;
typedef unsigned long __ino_t;
typedef unsigned long __ino64_t;
typedef unsigned int __mode_t;
typedef unsigned long __nlink_t;
typedef long __off_t;
typedef long __off64_t;
typedef int __pid_t;
struct anon_type_2___fsid_t {
int __val[2];
};
typedef struct anon_type_2___fsid_t __fsid_t;
typedef long __clock_t;
typedef unsigned long __rlim_t;
typedef unsigned long __rlim64_t;
typedef unsigned int __id_t;
typedef long __time_t;
typedef unsigned int __useconds_t;
typedef long __suseconds_t;
typedef int __daddr_t;
typedef int __key_t;
typedef int __clockid_t;
typedef void * __timer_t;
typedef long __blksize_t;
typedef long __blkcnt_t;
typedef long __blkcnt64_t;
typedef unsigned long __fsblkcnt_t;
typedef unsigned long __fsblkcnt64_t;
typedef unsigned long __fsfilcnt_t;
typedef unsigned long __fsfilcnt64_t;
typedef long __fsword_t;
typedef long __ssize_t;
typedef long __syscall_slong_t;
typedef unsigned long __syscall_ulong_t;
typedef long __loff_t;
typedef long * __qaddr_t;
typedef char * __caddr_t;
typedef long __intptr_t;
typedef unsigned int __socklen_t;
typedef unsigned int wint_t;
union anon_type_4___value {
unsigned int __wch;
char __wchb[4];
};
typedef struct anon_type_3___mbstate_t __mbstate_t;
struct __pgi_tag {
unsigned int gp_offset;
unsigned int fp_offset;
char * overflow_arg_area;
char * reg_save_area;
};
typedef struct __pgi_tag __pgi_va_list[1];
typedef struct __pgi_tag va_list[1];
typedef struct __pgi_tag __gnuc_va_list[1];
struct _IO_jump_t {
};
typedef void _IO_lock_t;
enum __codecvt_result {
__codecvt_ok = 0,
__codecvt_partial = 1,
__codecvt_error = 2,
__codecvt_noconv = 3
};
struct _IO_FILE_plus {
};
typedef long __io_read_fn(void * __cookie, char * __buf, unsigned long __nbytes);
typedef long __io_write_fn(void * __cookie, char const * __buf, unsigned long __n);
typedef int __io_seek_fn(void * __cookie, long * __pos, int __w);
typedef int __io_close_fn(void * __cookie);
typedef long off_t;
typedef long ssize_t;
typedef int wchar_t;
enum anon_type_7_idtype_t {
P_ALL = 0,
P_PID = 1,
P_PGID = 2
};
typedef enum anon_type_7_idtype_t idtype_t;
struct anon_type_8___wait_terminated {
unsigned int __w_termsig:7;
unsigned int __w_coredump:1;
unsigned int __w_retcode:8;
unsigned int anon_mem_1:16;
};
struct anon_type_9___wait_stopped {
unsigned int __w_stopval:8;
unsigned int __w_stopsig:8;
unsigned int anon_mem_2:16;
};
struct anon_type_10_div_t {
int quot;
int rem;
};
typedef struct anon_type_10_div_t div_t;
struct anon_type_11_ldiv_t {
long quot;
long rem;
};
typedef struct anon_type_11_ldiv_t ldiv_t;
struct anon_type_12_lldiv_t {
long long quot;
long long rem;
};
typedef struct anon_type_12_lldiv_t lldiv_t;
typedef unsigned char u_char;
typedef unsigned short u_short;
typedef unsigned int u_int;
typedef unsigned long u_long;
typedef long quad_t;
typedef unsigned long u_quad_t;
typedef struct anon_type_2___fsid_t fsid_t;
typedef long loff_t;
typedef unsigned long ino_t;
typedef unsigned long dev_t;
typedef unsigned int gid_t;
typedef unsigned int mode_t;
typedef unsigned long nlink_t;
typedef unsigned int uid_t;
typedef int pid_t;
typedef unsigned int id_t;
typedef int daddr_t;
typedef char * caddr_t;
typedef int key_t;
typedef long clock_t;
typedef long time_t;
typedef int clockid_t;
typedef void * timer_t;
typedef unsigned long ulong;
typedef unsigned short ushort;
typedef unsigned int uint;
typedef char int8_t;
typedef short int16_t;
typedef int int32_t;
typedef long int64_t;
typedef unsigned char u_int8_t;
typedef unsigned short u_int16_t;
typedef unsigned int u_int32_t;
typedef unsigned long u_int64_t;
typedef int register_t;
typedef int __sig_atomic_t;
struct anon_type_13___sigset_t {
unsigned long __val[(1024) / ((8) * (sizeof(unsigned long)))];
};
typedef struct anon_type_13___sigset_t __sigset_t;
typedef struct anon_type_13___sigset_t sigset_t;
struct timespec {
long tv_sec;
long tv_nsec;
};
struct timeval {
long tv_sec;
long tv_usec;
};
typedef long suseconds_t;
typedef long __fd_mask;
struct anon_type_14_fd_set {
long __fds_bits[(1024) / ((8) * ((int)(sizeof(long))))];
};
typedef struct anon_type_14_fd_set fd_set;
typedef long fd_mask;
typedef long blksize_t;
typedef long blkcnt_t;
typedef unsigned long fsblkcnt_t;
typedef unsigned long fsfilcnt_t;
typedef unsigned long pthread_t;
union pthread_attr_t {
char __size[56];
long __align;
};
typedef union pthread_attr_t pthread_attr_t;
union anon_type_16_pthread_mutexattr_t {
char __size[4];
int __align;
};
typedef union anon_type_16_pthread_mutexattr_t pthread_mutexattr_t;
struct anon_type_18___data {
int __lock;
unsigned int __futex;
unsigned long long __total_seq;
unsigned long long __wakeup_seq;
unsigned long long __woken_seq;
void * __mutex;
unsigned int __nwaiters;
unsigned int __broadcast_seq;
};
typedef union anon_type_17_pthread_cond_t pthread_cond_t;
union anon_type_19_pthread_condattr_t {
char __size[4];
int __align;
};
typedef union anon_type_19_pthread_condattr_t pthread_condattr_t;
typedef unsigned int pthread_key_t;
typedef int pthread_once_t;
struct anon_type_21___data {
int __lock;
unsigned int __nr_readers;
unsigned int __readers_wakeup;
unsigned int __writer_wakeup;
unsigned int __nr_readers_queued;
unsigned int __nr_writers_queued;
int __writer;
int __shared;
char __rwelision;
unsigned char __pad1[7];
unsigned long __pad2;
unsigned int __flags;
};
typedef union anon_type_20_pthread_rwlock_t pthread_rwlock_t;
union anon_type_22_pthread_rwlockattr_t {
char __size[8];
long __align;
};
typedef union anon_type_22_pthread_rwlockattr_t pthread_rwlockattr_t;
typedef int volatile pthread_spinlock_t;
union anon_type_23_pthread_barrier_t {
char __size[32];
long __align;
};
typedef union anon_type_23_pthread_barrier_t pthread_barrier_t;
union anon_type_24_pthread_barrierattr_t {
char __size[4];
int __align;
};
typedef union anon_type_24_pthread_barrierattr_t pthread_barrierattr_t;
struct random_data {
int * fptr;
int * rptr;
int * state;
int rand_type;
int rand_deg;
int rand_sep;
int * end_ptr;
};
struct drand48_data {
unsigned short __x[3];
unsigned short __old_x[3];
unsigned short __c;
unsigned short __init;
unsigned long long __a;
};
typedef int (* __compar_fn_t)(void const * , void const * );
struct __locale_data {
};
struct timezone {
int tz_minuteswest;
int tz_dsttime;
};
typedef struct timezone * restrict __timezone_ptr_t;
enum __itimer_which {
ITIMER_REAL = 0,
ITIMER_VIRTUAL = 1,
ITIMER_PROF = 2
};
struct itimerval {
struct timeval it_interval;
struct timeval it_value;
};
typedef int __itimer_which_t;
struct Mat {
float * m;
int mnums;
int mrows;
int mcols;
int mdeps;
};
typedef struct Mat Matrix;
struct _IO_FILE;
struct _IO_marker;
typedef struct _IO_FILE FILE;
typedef struct _IO_FILE __FILE;
struct anon_type_3___mbstate_t {
int __count;
union anon_type_4___value __value;
};
struct anon_type_5__G_fpos_t {
long __pos;
struct anon_type_3___mbstate_t __state;
};
typedef struct anon_type_5__G_fpos_t _G_fpos_t;
struct anon_type_6__G_fpos64_t {
long __pos;
struct anon_type_3___mbstate_t __state;
};
typedef struct anon_type_6__G_fpos64_t _G_fpos64_t;
struct _IO_marker {
struct _IO_marker * _next;
struct _IO_FILE * _sbuf;
int _pos;
};
struct _IO_FILE {
int _flags;
char * _IO_read_ptr;
char * _IO_read_end;
char * _IO_read_base;
char * _IO_write_base;
char * _IO_write_ptr;
char * _IO_write_end;
char * _IO_buf_base;
char * _IO_buf_end;
char * _IO_save_base;
char * _IO_backup_base;
char * _IO_save_end;
struct _IO_marker * _markers;
struct _IO_FILE * _chain;
int _fileno;
int _flags2;
long _old_offset;
unsigned short _cur_column;
char _vtable_offset;
char _shortbuf[1];
void * _lock;
long _offset;
void * __pad1;
void * __pad2;
void * __pad3;
void * __pad4;
unsigned long __pad5;
int _mode;
char _unused2[(((15) * (sizeof(int))) - ((4) * (sizeof(void * )))) - (sizeof(unsigned long))];
};
typedef struct _IO_FILE _IO_FILE;
typedef struct anon_type_5__G_fpos_t fpos_t;
union wait {
int w_status;
struct anon_type_8___wait_terminated __wait_terminated;
struct anon_type_9___wait_stopped __wait_stopped;
};
struct __pthread_internal_list;
struct __pthread_internal_list {
struct __pthread_internal_list * __prev;
struct __pthread_internal_list * __next;
};
typedef struct __pthread_internal_list __pthread_list_t;
struct __pthread_mutex_s {
int __lock;
unsigned int __count;
int __owner;
unsigned int __nusers;
int __kind;
short __spins;
short __elision;
struct __pthread_internal_list __list;
};
typedef union anon_type_15_pthread_mutex_t pthread_mutex_t;
union anon_type_17_pthread_cond_t {
struct anon_type_18___data __data;
char __size[48];
long long __align;
};
union anon_type_20_pthread_rwlock_t {
struct anon_type_21___data __data;
char __size[56];
long __align;
};
struct __locale_struct {
struct __locale_data * __locales[13];
unsigned short const * __ctype_b;
int const * __ctype_tolower;
int const * __ctype_toupper;
char const * __names[13];
};
typedef struct __locale_struct * __locale_t;
typedef struct __locale_struct * locale_t;
struct __MaccDataTableEntry;
struct __MaccDataTableEntry {
void * addr;
void * addr_ub;
int type_size;
int entire_lb;
int entire_ub;
int dirty;
int dirty_lb;
int dirty_ub;
int offset;
struct __MaccDataTableEntry * next;
};
struct __MaccDataTable {
struct __MaccDataTableEntry * entries[256];
};
struct __MaccDataWrapCache {
void * addr[256];
struct __MaccDataTableEntry * entry[256];
int offset[256];
int cachenum[16];
};
union anon_type_15_pthread_mutex_t {
struct __pthread_mutex_s __data;
char __size[40];
long __align;
};
void omp_set_num_threads(int num);
int omp_get_num_threads(void);
int omp_get_max_threads(void);
int omp_get_thread_num(void);
int omp_get_num_procs(void);
int omp_in_parallel(void);
void omp_set_dynamic(int dynamic_thds);
int omp_get_dynamic(void);
void omp_set_nested(int n_nested);
int omp_get_nested(void);
double omp_get_wtime(void);
double omp_get_wtick(void);
void omp_init_lock(void * * lock);
void omp_init_nest_lock(void * * lock);
void omp_destroy_lock(void * * lock);
void omp_destroy_nest_lock(void * * lock);
void omp_set_lock(void * * lock);
void omp_set_nest_lock(void * * lock);
void omp_unset_lock(void * * lock);
void omp_unset_nest_lock(void * * lock);
int omp_test_lock(void * * lock);
int omp_test_nest_lock(void * * lock);
void acc_set_default_async(int async);
int acc_get_default_async(void);
extern int acc_get_num_devices(enum anon_type_1_acc_device_t devtype);
extern enum anon_type_1_acc_device_t acc_get_device(void);
extern void acc_set_device_num(int devnum, enum anon_type_1_acc_device_t devtype);
extern int acc_get_device_num(enum anon_type_1_acc_device_t devtype);
extern void acc_init(enum anon_type_1_acc_device_t devtype);
extern void acc_shutdown(enum anon_type_1_acc_device_t devtype);
extern void acc_set_deviceid(int devid);
extern int acc_get_deviceid(int devnum, enum anon_type_1_acc_device_t devtype);
extern int acc_async_test(long async);
extern int acc_async_test_all(void);
extern void acc_async_wait(long async);
extern void acc_async_wait_all(void);
extern void acc_wait(long async);
extern void acc_wait_async(long arg, long async);
extern void acc_wait_all(void);
extern void acc_wait_all_async(long async);
extern int acc_on_device(enum anon_type_1_acc_device_t devtype);
extern void __macc_free(void * );
extern void * acc_memcpy(void * targetptr, void * srcptr, unsigned long bytes);
extern void * acc_memcpy_async(void * targetptr, void * srcptr, unsigned long bytes, long async);
extern void * acc_copyin(void * hostptr, unsigned long bytes);
extern void * acc_copyin_async(void * hostptr, unsigned long bytes, long async);
extern void * acc_pcopyin(void * hostptr, unsigned long bytes);
extern void * acc_pcopyin_async(void * hostptr, unsigned long bytes, long async);
extern void * acc_present_or_copyin(void * hostptr, unsigned long bytes);
extern void * acc_present_or_copyin_async(void * hostptr, unsigned long bytes, long async);
extern void * acc_create(void * hostptr, unsigned long bytes);
extern void * acc_create_async(void * hostptr, unsigned long bytes, long async);
extern void * acc_pcreate(void * hostptr, unsigned long bytes);
extern void * acc_pcreate_async(void * hostptr, unsigned long bytes, long async);
extern void * acc_present_or_create(void * hostptr, unsigned long bytes);
extern void * acc_present_or_create_async(void * hostptr, unsigned long bytes, long async);
extern void acc_copyout(void * hostptr, unsigned long bytes);
extern void acc_copyout_async(void * hostptr, unsigned long bytes, long async);
extern void acc_delete(void * hostptr, unsigned long bytes);
extern void acc_delete_async(void * hostptr, unsigned long bytes, long async);
extern void acc_update_device(void * hostptr, unsigned long bytes);
extern void acc_update_device_async(void * hostptr, unsigned long bytes, long async);
extern void acc_update_self(void * hostptr, unsigned long bytes);
extern void acc_update_self_async(void * hostptr, unsigned long bytes, long async);
extern void acc_update_host(void * hostptr, unsigned long bytes);
extern void acc_update_host_async(void * hostptr, unsigned long bytes, long async);
extern void acc_memcpy_to_device(void * devptr, void * hostptr, unsigned long bytes);
extern void acc_memcpy_to_device_async(void * devptr, void * hostptr, unsigned long bytes, long async);
extern void acc_memcpy_from_device(void * hostptr, void * devptr, unsigned long bytes);
extern void acc_memcpy_from_device_async(void * hostptr, void * devptr, unsigned long bytes, long async);
extern void * acc_memcpy_device(void * targetdevptr, void * srcdevptr, unsigned long bytes);
extern void * acc_memcpy_device_async(void * targetdevptr, void * srcdevptr, unsigned long bytes, long async);
extern void acc_attach(void * * hostptrptr);
extern void acc_attach_async(void * * hostptrptr, long async);
extern void acc_detach(void * * hostptrptr);
extern void acc_detach_async(void * * hostptrptr, long async);
extern void acc_set_device_type(enum anon_type_1_acc_device_t devtype);
extern enum anon_type_1_acc_device_t acc_get_device_type(void);
extern void * __macc_malloc(unsigned long);
extern void * acc_deviceptr(void * hostptr);
extern void * acc_hostptr(void * devptr);
extern void acc_map_data(void * hostptr, void * devptr, unsigned long bytes);
extern void acc_unmap_data(void * hostptr);
extern int acc_is_present(void * hostptr, unsigned long bytes);
extern int acc_present_count(void * hostptr);
extern void acc_updatein(void * hostptr, unsigned long bytes);
extern void acc_updatein_async(void * hostptr, unsigned long bytes, long async);
extern void acc_updateout(void * hostptr, unsigned long bytes);
extern void acc_updateout_async(void * hostptr, unsigned long bytes, long async);
extern void * acc_get_current_cuda_context(void);
extern int acc_get_current_cuda_device(void);
extern void * acc_get_cuda_stream(long);
extern void acc_set_cuda_stream(long, void * );
extern void * acc_cuda_get_context(int);
extern int acc_cuda_get_device(int);
extern void * acc_get_current_opencl_context(void);
extern void * acc_get_current_opencl_device(void);
extern void * acc_get_opencl_queue(long);
extern int atomicaddi(void * address, int val);
extern unsigned int atomicaddu(void * address, unsigned int val);
extern unsigned long long atomicaddul(void * address, unsigned long long val);
extern float atomicaddf(void * address, float val);
extern double atomicaddd(void * address, double val);
extern int atomicsubi(void * address, int val);
extern unsigned int atomicsubu(void * address, unsigned int val);
extern unsigned long long atomicsubul(void * address, unsigned long long val);
extern float atomicsubf(void * address, float val);
extern double atomicsubd(void * address, double val);
extern int atomicmaxi(void * address, int val);
extern unsigned int atomicmaxu(void * address, unsigned int val);
extern unsigned long long atomicmaxul(void * address, unsigned long long val);
extern float atomicmaxf(void * address, float val);
extern double atomicmaxd(void * address, double val);
extern int atomicmini(void * address, int val);
extern unsigned int atomicminu(void * address, unsigned int val);
extern unsigned long long atomicminul(void * address, unsigned long long val);
extern float atomicminf(void * address, float val);
extern double atomicmind(void * address, double val);
extern int atomicandi(void * address, int val);
extern unsigned int atomicandu(void * address, unsigned int val);
extern unsigned long long atomicandul(void * address, unsigned long long val);
extern int atomicori(void * address, int val);
extern unsigned int atomicoru(void * address, unsigned int val);
extern unsigned long long atomicorul(void * address, unsigned long long val);
extern int atomicxori(void * address, int val);
extern unsigned int atomicxoru(void * address, unsigned int val);
extern unsigned long long atomicxorul(void * address, unsigned long long val);
extern int atomicexchi(void * address, int val);
extern unsigned int atomicexchu(void * address, unsigned int val);
extern unsigned long long atomicexchul(void * address, unsigned long long val);
extern float atomicexchf(void * address, float val);
extern double atomicexchd(void * address, double val);
extern unsigned int atomicincu(void * address, unsigned int val);
extern unsigned int atomicdecu(void * address, unsigned int val);
extern int atomiccasi(void * address, int val, int val2);
extern unsigned int atomiccasu(void * address, unsigned int val, unsigned int val2);
extern unsigned long long atomiccasul(void * address, unsigned long long val, unsigned long long val2);
extern float atomiccasf(void * address, float val, float val2);
extern double atomiccasd(void * address, double val, double val2);
extern int __pgi_gangidx(void);
extern int __pgi_workeridx(void);
extern int __pgi_vectoridx(void);
extern int __pgi_blockidx(int);
extern int __pgi_threadidx(int);
extern void * __builtin_va_arg();
extern int __builtin_va_start();
# 315 "/usr/include/libio.h"
extern struct _IO_FILE_plus _IO_2_1_stdin_;
# 316 "/usr/include/libio.h"
extern struct _IO_FILE_plus _IO_2_1_stdout_;
# 317 "/usr/include/libio.h"
extern struct _IO_FILE_plus _IO_2_1_stderr_;
extern int __underflow(struct _IO_FILE * );
extern int __uflow(struct _IO_FILE * );
extern int __overflow(struct _IO_FILE * , int);
extern int _IO_getc(struct _IO_FILE * __fp);
extern int _IO_putc(int __c, struct _IO_FILE * __fp);
extern int _IO_feof(struct _IO_FILE * __fp);
extern int _IO_ferror(struct _IO_FILE * __fp);
extern int _IO_peekc_locked(struct _IO_FILE * __fp);
extern void _IO_flockfile(struct _IO_FILE * );
extern void _IO_funlockfile(struct _IO_FILE * );
extern int _IO_ftrylockfile(struct _IO_FILE * );
extern int _IO_vfscanf(struct _IO_FILE * restrict, char const * restrict, struct __pgi_tag [1], int * restrict);
extern int _IO_vfprintf(struct _IO_FILE * restrict, char const * restrict, struct __pgi_tag [1]);
extern long _IO_padn(struct _IO_FILE * , int, long);
extern unsigned long _IO_sgetn(struct _IO_FILE * , void * , unsigned long);
extern long _IO_seekoff(struct _IO_FILE * , long, int, int);
extern long _IO_seekpos(struct _IO_FILE * , long, int);
extern void _IO_free_backup_area(struct _IO_FILE * );
# 168 "/usr/include/stdio.h"
extern struct _IO_FILE * stdin;
# 169 "/usr/include/stdio.h"
extern struct _IO_FILE * stdout;
# 170 "/usr/include/stdio.h"
extern struct _IO_FILE * stderr;
extern int remove(char const * __filename);
extern int rename(char const * __old, char const * __new);
extern int renameat(int __oldfd, char const * __old, int __newfd, char const * __new);
extern struct _IO_FILE * tmpfile(void);
extern char * tmpnam(char * __s);
extern char * tmpnam_r(char * __s);
extern char * tempnam(char const * __dir, char const * __pfx);
extern int fclose(struct _IO_FILE * __stream);
extern int fflush(struct _IO_FILE * __stream);
extern int fflush_unlocked(struct _IO_FILE * __stream);
extern struct _IO_FILE * fopen(char const * restrict __filename, char const * restrict __modes);
extern struct _IO_FILE * freopen(char const * restrict __filename, char const * restrict __modes, struct _IO_FILE * restrict __stream);
extern struct _IO_FILE * fdopen(int __fd, char const * __modes);
extern struct _IO_FILE * fmemopen(void * __s, unsigned long __len, char const * __modes);
extern struct _IO_FILE * open_memstream(char * * __bufloc, unsigned long * __sizeloc);
extern void setbuf(struct _IO_FILE * restrict __stream, char * restrict __buf);
extern int setvbuf(struct _IO_FILE * restrict __stream, char * restrict __buf, int __modes, unsigned long __n);
extern void setbuffer(struct _IO_FILE * restrict __stream, char * restrict __buf, unsigned long __size);
extern void setlinebuf(struct _IO_FILE * __stream);
extern int fprintf(struct _IO_FILE * restrict __stream, char const * restrict __format, ...);
extern int printf(char const * restrict __format, ...);
extern int sprintf(char * restrict __s, char const * restrict __format, ...);
extern int vfprintf(struct _IO_FILE * restrict __s, char const * restrict __format, struct __pgi_tag __arg[1]);
extern int vprintf(char const * restrict __format, struct __pgi_tag __arg[1]);
extern int vsprintf(char * restrict __s, char const * restrict __format, struct __pgi_tag __arg[1]);
extern __attribute__((format(__printf__, 3, 4))) int snprintf(char * restrict __s, unsigned long __maxlen, char const * restrict __format, ...);
extern __attribute__((format(__printf__, 3, 0))) int vsnprintf(char * restrict __s, unsigned long __maxlen, char const * restrict __format, struct __pgi_tag __arg[1]);
extern __attribute__((format(__printf__, 2, 0))) int vdprintf(int __fd, char const * restrict __fmt, struct __pgi_tag __arg[1]);
extern __attribute__((format(__printf__, 2, 3))) int dprintf(int __fd, char const * restrict __fmt, ...);
extern int fscanf(struct _IO_FILE * restrict __stream, char const * restrict __format, ...);
extern int scanf(char const * restrict __format, ...);
extern int sscanf(char const * restrict __s, char const * restrict __format, ...);
extern int __isoc99_fscanf(struct _IO_FILE * restrict __stream, char const * restrict __format, ...);
extern int __isoc99_scanf(char const * restrict __format, ...);
extern int __isoc99_sscanf(char const * restrict __s, char const * restrict __format, ...);
extern __attribute__((format(__scanf__, 2, 0))) int vfscanf(struct _IO_FILE * restrict __s, char const * restrict __format, struct __pgi_tag __arg[1]);
extern __attribute__((format(__scanf__, 1, 0))) int vscanf(char const * restrict __format, struct __pgi_tag __arg[1]);
extern __attribute__((format(__scanf__, 2, 0))) int vsscanf(char const * restrict __s, char const * restrict __format, struct __pgi_tag __arg[1]);
extern int __isoc99_vfscanf(struct _IO_FILE * restrict __s, char const * restrict __format, struct __pgi_tag __arg[1]);
extern int __isoc99_vscanf(char const * restrict __format, struct __pgi_tag __arg[1]);
extern int __isoc99_vsscanf(char const * restrict __s, char const * restrict __format, struct __pgi_tag __arg[1]);
extern int fgetc(struct _IO_FILE * __stream);
extern int getc(struct _IO_FILE * __stream);
extern int getchar(void);
extern int getc_unlocked(struct _IO_FILE * __stream);
extern int getchar_unlocked(void);
extern int fgetc_unlocked(struct _IO_FILE * __stream);
extern int fputc(int __c, struct _IO_FILE * __stream);
extern int putc(int __c, struct _IO_FILE * __stream);
extern int putchar(int __c);
extern int fputc_unlocked(int __c, struct _IO_FILE * __stream);
extern int putc_unlocked(int __c, struct _IO_FILE * __stream);
extern int putchar_unlocked(int __c);
extern int getw(struct _IO_FILE * __stream);
extern int putw(int __w, struct _IO_FILE * __stream);
extern char * fgets(char * restrict __s, int __n, struct _IO_FILE * restrict __stream);
extern char * gets(char * __s);
extern long __getdelim(char * * restrict __lineptr, unsigned long * restrict __n, int __delimiter, struct _IO_FILE * restrict __stream);
extern long getdelim(char * * restrict __lineptr, unsigned long * restrict __n, int __delimiter, struct _IO_FILE * restrict __stream);
extern long getline(char * * restrict __lineptr, unsigned long * restrict __n, struct _IO_FILE * restrict __stream);
extern int fputs(char const * restrict __s, struct _IO_FILE * restrict __stream);
extern int puts(char const * __s);
extern int ungetc(int __c, struct _IO_FILE * __stream);
extern unsigned long fread(void * restrict __ptr, unsigned long __size, unsigned long __n, struct _IO_FILE * restrict __stream);
extern unsigned long fwrite(void const * restrict __ptr, unsigned long __size, unsigned long __n, struct _IO_FILE * restrict __s);
extern unsigned long fread_unlocked(void * restrict __ptr, unsigned long __size, unsigned long __n, struct _IO_FILE * restrict __stream);
extern unsigned long fwrite_unlocked(void const * restrict __ptr, unsigned long __size, unsigned long __n, struct _IO_FILE * restrict __stream);
extern int fseek(struct _IO_FILE * __stream, long __off, int __whence);
extern long ftell(struct _IO_FILE * __stream);
extern void rewind(struct _IO_FILE * __stream);
extern int fseeko(struct _IO_FILE * __stream, long __off, int __whence);
extern long ftello(struct _IO_FILE * __stream);
extern int fgetpos(struct _IO_FILE * restrict __stream, struct anon_type_5__G_fpos_t * restrict __pos);
extern int fsetpos(struct _IO_FILE * __stream, struct anon_type_5__G_fpos_t const * __pos);
extern void clearerr(struct _IO_FILE * __stream);
extern int feof(struct _IO_FILE * __stream);
extern int ferror(struct _IO_FILE * __stream);
extern void clearerr_unlocked(struct _IO_FILE * __stream);
extern int feof_unlocked(struct _IO_FILE * __stream);
extern int ferror_unlocked(struct _IO_FILE * __stream);
extern void perror(char const * __s);
# 26 "/usr/include/x86_64-linux-gnu/bits/sys_errlist.h"
extern int sys_nerr;
# 27 "/usr/include/x86_64-linux-gnu/bits/sys_errlist.h"
extern char const * const sys_errlist[];
extern int fileno(struct _IO_FILE * __stream);
extern int fileno_unlocked(struct _IO_FILE * __stream);
extern struct _IO_FILE * popen(char const * __command, char const * __modes);
extern int pclose(struct _IO_FILE * __stream);
extern char * ctermid(char * __s);
extern void flockfile(struct _IO_FILE * __stream);
extern int ftrylockfile(struct _IO_FILE * __stream);
extern void funlockfile(struct _IO_FILE * __stream);
# 44 "/usr/include/x86_64-linux-gnu/bits/byteswap-16.h"
static unsigned short __bswap_16(unsigned short __bsx)
{
# 47 "/usr/include/x86_64-linux-gnu/bits/byteswap-16.h"
return (unsigned short)(((__bsx >> (8)) & (255)) | ((__bsx & (255)) << (8)));
}
# 87 "/usr/include/x86_64-linux-gnu/bits/byteswap.h"
static unsigned int __bswap_32(unsigned int __bsx)
{
# 90 "/usr/include/x86_64-linux-gnu/bits/byteswap.h"
return ((((__bsx & (-16777216u)) >> (24)) | ((__bsx & (16711680)) >> (8))) | ((__bsx & (65280)) << (8))) | ((__bsx & (255)) << (24));
}
# 148 "/usr/include/x86_64-linux-gnu/bits/byteswap.h"
static unsigned long __bswap_64(unsigned long __bsx)
{
# 151 "/usr/include/x86_64-linux-gnu/bits/byteswap.h"
return ((((((((__bsx & (0xff00000000000000ull)) >> (56)) | ((__bsx & (0xff000000000000ull)) >> (40))) | ((__bsx & (0xff0000000000ull)) >> (24))) | ((__bsx & (0xff00000000ull)) >> (8))) | ((__bsx & (0x0ff000000ull)) << (8))) | ((__bsx & (0x000ff0000ull)) << (24))) | ((__bsx & (0x00000ff00ull)) << (40))) | ((__bsx & (0x0000000ffull)) << (56));
}
extern unsigned long __ctype_get_mb_cur_max(void);
extern double atof(char const * __nptr);
extern int atoi(char const * __nptr);
extern long atol(char const * __nptr);
extern long long atoll(char const * __nptr);
extern double strtod(char const * restrict __nptr, char * * restrict __endptr);
extern float strtof(char const * restrict __nptr, char * * restrict __endptr);
extern long double strtold(char const * restrict __nptr, char * * restrict __endptr);
extern long strtol(char const * restrict __nptr, char * * restrict __endptr, int __base);
extern unsigned long strtoul(char const * restrict __nptr, char * * restrict __endptr, int __base);
extern long long strtoq(char const * restrict __nptr, char * * restrict __endptr, int __base);
extern unsigned long long strtouq(char const * restrict __nptr, char * * restrict __endptr, int __base);
extern long long strtoll(char const * restrict __nptr, char * * restrict __endptr, int __base);
extern unsigned long long strtoull(char const * restrict __nptr, char * * restrict __endptr, int __base);
extern char * l64a(long __n);
extern long a64l(char const * __s);
extern int select(int __nfds, struct anon_type_14_fd_set * restrict __readfds, struct anon_type_14_fd_set * restrict __writefds, struct anon_type_14_fd_set * restrict __exceptfds, struct timeval * restrict __timeout);
extern int pselect(int __nfds, struct anon_type_14_fd_set * restrict __readfds, struct anon_type_14_fd_set * restrict __writefds, struct anon_type_14_fd_set * restrict __exceptfds, struct timespec const * restrict __timeout, struct anon_type_13___sigset_t const * restrict __sigmask);
extern unsigned int gnu_dev_major(unsigned long long __dev);
extern unsigned int gnu_dev_minor(unsigned long long __dev);
extern unsigned long long gnu_dev_makedev(unsigned int __major, unsigned int __minor);
extern long random(void);
extern void srandom(unsigned int __seed);
extern char * initstate(unsigned int __seed, char * __statebuf, unsigned long __statelen);
extern char * setstate(char * __statebuf);
extern int random_r(struct random_data * restrict __buf, int * restrict __result);
extern int srandom_r(unsigned int __seed, struct random_data * __buf);
extern int initstate_r(unsigned int __seed, char * restrict __statebuf, unsigned long __statelen, struct random_data * restrict __buf);
extern int setstate_r(char * restrict __statebuf, struct random_data * restrict __buf);
extern int rand(void);
extern void srand(unsigned int __seed);
extern int rand_r(unsigned int * __seed);
extern double drand48(void);
extern double erand48(unsigned short __xsubi[3]);
extern long lrand48(void);
extern long nrand48(unsigned short __xsubi[3]);
extern long mrand48(void);
extern long jrand48(unsigned short __xsubi[3]);
extern void srand48(long __seedval);
extern unsigned short * seed48(unsigned short __seed16v[3]);
extern void lcong48(unsigned short __param[7]);
extern int drand48_r(struct drand48_data * restrict __buffer, double * restrict __result);
extern int erand48_r(unsigned short __xsubi[3], struct drand48_data * restrict __buffer, double * restrict __result);
extern int lrand48_r(struct drand48_data * restrict __buffer, long * restrict __result);
extern int nrand48_r(unsigned short __xsubi[3], struct drand48_data * restrict __buffer, long * restrict __result);
extern int mrand48_r(struct drand48_data * restrict __buffer, long * restrict __result);
extern int jrand48_r(unsigned short __xsubi[3], struct drand48_data * restrict __buffer, long * restrict __result);
extern int srand48_r(long __seedval, struct drand48_data * __buffer);
extern int seed48_r(unsigned short __seed16v[3], struct drand48_data * __buffer);
extern int lcong48_r(unsigned short __param[7], struct drand48_data * __buffer);
extern void * malloc(unsigned long __size);
extern void * calloc(unsigned long __nmemb, unsigned long __size);
extern void * realloc(void * __ptr, unsigned long __size);
extern void free(void * __ptr);
extern void cfree(void * __ptr);
extern void * __alloca(unsigned long __size);
extern void * alloca(unsigned long __size);
extern void * __builtin_alloca(unsigned long __size);
extern void * valloc(unsigned long __size);
extern int posix_memalign(void * * __memptr, unsigned long __alignment, unsigned long __size);
extern __attribute__((noreturn)) void abort(void);
extern int atexit(void (* __func)(void));
extern int on_exit(void (* __func)(int, void * ), void * __arg);
extern __attribute__((noreturn)) void exit(int __status);
extern __attribute__((noreturn)) void _Exit(int __status);
extern char * getenv(char const * __name);
extern int putenv(char * __string);
extern int setenv(char const * __name, char const * __value, int __replace);
extern int unsetenv(char const * __name);
extern int clearenv(void);
extern char * mktemp(char * __template);
extern int mkstemp(char * __template);
extern int mkstemps(char * __template, int __suffixlen);
extern char * mkdtemp(char * __template);
extern int system(char const * __command);
extern char * realpath(char const * restrict __name, char * restrict __resolved);
extern void * bsearch(void const * __key, void const * __base, unsigned long __nmemb, unsigned long __size, int (* __compar)(void const * , void const * ));
extern void qsort(void * __base, unsigned long __nmemb, unsigned long __size, int (* __compar)(void const * , void const * ));
extern __attribute__((const)) int abs(int __x);
extern __attribute__((const)) long labs(long __x);
extern __attribute__((const)) long long llabs(long long __x);
extern __attribute__((const)) struct anon_type_10_div_t div(int __numer, int __denom);
extern __attribute__((const)) struct anon_type_11_ldiv_t ldiv(long __numer, long __denom);
extern __attribute__((const)) struct anon_type_12_lldiv_t lldiv(long long __numer, long long __denom);
extern char * ecvt(double __value, int __ndigit, int * restrict __decpt, int * restrict __sign);
extern char * fcvt(double __value, int __ndigit, int * restrict __decpt, int * restrict __sign);
extern char * gcvt(double __value, int __ndigit, char * __buf);
extern char * qecvt(long double __value, int __ndigit, int * restrict __decpt, int * restrict __sign);
extern char * qfcvt(long double __value, int __ndigit, int * restrict __decpt, int * restrict __sign);
extern char * qgcvt(long double __value, int __ndigit, char * __buf);
extern int ecvt_r(double __value, int __ndigit, int * restrict __decpt, int * restrict __sign, char * restrict __buf, unsigned long __len);
extern int fcvt_r(double __value, int __ndigit, int * restrict __decpt, int * restrict __sign, char * restrict __buf, unsigned long __len);
extern int qecvt_r(long double __value, int __ndigit, int * restrict __decpt, int * restrict __sign, char * restrict __buf, unsigned long __len);
extern int qfcvt_r(long double __value, int __ndigit, int * restrict __decpt, int * restrict __sign, char * restrict __buf, unsigned long __len);
extern int mblen(char const * __s, unsigned long __n);
extern int mbtowc(int * restrict __pwc, char const * restrict __s, unsigned long __n);
extern int wctomb(char * __s, int __wchar);
extern unsigned long mbstowcs(int * restrict __pwcs, char const * restrict __s, unsigned long __n);
extern unsigned long wcstombs(char * restrict __s, int const * restrict __pwcs, unsigned long __n);
extern int rpmatch(char const * __response);
extern int getsubopt(char * * restrict __optionp, char * const * restrict __tokens, char * * restrict __valuep);
extern int getloadavg(double __loadavg[], int __nelem);
int __builtin_abs(int);
extern void * malloc_managed(unsigned long);
extern void * calloc_managed(unsigned long, unsigned long);
extern void free_managed(void * );
extern void cfree_managed(void * );
extern void * realloc_managed(void * , unsigned long);
extern void * valloc_managed(unsigned long);
extern void * pvalloc_managed(unsigned long);
extern void * memalign_managed(unsigned long, unsigned long);
extern int posix_memalign_managed(void * * , unsigned long, unsigned long);
extern char * tmpnam_managed(char * );
extern void * memcpy(void * restrict __dest, void const * restrict __src, unsigned long __n);
extern void * memmove(void * __dest, void const * __src, unsigned long __n);
extern void * memccpy(void * restrict __dest, void const * restrict __src, int __c, unsigned long __n);
extern void * memset(void * __s, int __c, unsigned long __n);
extern int memcmp(void const * __s1, void const * __s2, unsigned long __n);
extern void * memchr(void const * __s, int __c, unsigned long __n);
extern char * strcpy(char * restrict __dest, char const * restrict __src);
extern char * strncpy(char * restrict __dest, char const * restrict __src, unsigned long __n);
extern char * strcat(char * restrict __dest, char const * restrict __src);
extern char * strncat(char * restrict __dest, char const * restrict __src, unsigned long __n);
extern int strcmp(char const * __s1, char const * __s2);
extern int strncmp(char const * __s1, char const * __s2, unsigned long __n);
extern int strcoll(char const * __s1, char const * __s2);
extern unsigned long strxfrm(char * restrict __dest, char const * restrict __src, unsigned long __n);
extern int strcoll_l(char const * __s1, char const * __s2, struct __locale_struct * __l);
extern unsigned long strxfrm_l(char * __dest, char const * __src, unsigned long __n, struct __locale_struct * __l);
extern char * strdup(char const * __s);
extern char * strndup(char const * __string, unsigned long __n);
extern char * strchr(char const * __s, int __c);
extern char * strrchr(char const * __s, int __c);
extern unsigned long strcspn(char const * __s, char const * __reject);
extern unsigned long strspn(char const * __s, char const * __accept);
extern char * strpbrk(char const * __s, char const * __accept);
extern char * strstr(char const * __haystack, char const * __needle);
extern char * strtok(char * restrict __s, char const * restrict __delim);
extern char * __strtok_r(char * restrict __s, char const * restrict __delim, char * * restrict __save_ptr);
extern char * strtok_r(char * restrict __s, char const * restrict __delim, char * * restrict __save_ptr);
extern unsigned long strlen(char const * __s);
extern unsigned long strnlen(char const * __string, unsigned long __maxlen);
extern char * strerror(int __errnum);
extern int __xpg_strerror_r(int __errnum, char * __buf, unsigned long __buflen);
extern char * strerror_l(int __errnum, struct __locale_struct * __l);
extern void __bzero(void * __s, unsigned long __n);
extern void bcopy(void const * __src, void * __dest, unsigned long __n);
extern void bzero(void * __s, unsigned long __n);
extern int bcmp(void const * __s1, void const * __s2, unsigned long __n);
extern char * index(char const * __s, int __c);
extern char * rindex(char const * __s, int __c);
extern __attribute__((const)) int ffs(int __i);
extern int strcasecmp(char const * __s1, char const * __s2);
extern int strncasecmp(char const * __s1, char const * __s2, unsigned long __n);
extern char * strsep(char * * restrict __stringp, char const * restrict __delim);
extern char * strsignal(int __sig);
extern char * __stpcpy(char * restrict __dest, char const * restrict __src);
extern char * stpcpy(char * restrict __dest, char const * restrict __src);
extern char * __stpncpy(char * restrict __dest, char const * restrict __src, unsigned long __n);
extern char * stpncpy(char * restrict __dest, char const * restrict __src, unsigned long __n);
# 27 "/tmp/tmp.rutwVzhqmN/1.c"
int __MACC_NUMGPUS = -(1);
# 29 "/tmp/tmp.rutwVzhqmN/1.c"
int __macc_get_num_gpus()
{
# 31 "/tmp/tmp.rutwVzhqmN/1.c"
return acc_get_num_devices(acc_device_nvidia);
}
# 34 "/tmp/tmp.rutwVzhqmN/1.c"
int __MACC_TOPOLOGY[10];
# 36 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_set_gpu_num(int i)
{
# 38 "/tmp/tmp.rutwVzhqmN/1.c"
acc_set_device_num(__MACC_TOPOLOGY[i], acc_device_nvidia);
}
# 61 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTable * __MACC_DATA_TABLE_SET;
# 74 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataWrapCache * __MACC_DATA_WRAP_CACHE_SET;
# 76 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_data_table_insert(int gpu_num, void * ptr, int type_size, int entire_lb, int entire_ub)
{
# 79 "/tmp/tmp.rutwVzhqmN/1.c"
int index = (((long)(ptr)) / (16)) % (256);
# 81 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * new_entry = malloc_managed(sizeof(struct __MaccDataTableEntry));
# 83 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->addr) = ptr;
# 84 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->addr_ub) = (ptr + (entire_ub * type_size));
# 85 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->type_size) = type_size;
# 86 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->entire_lb) = entire_lb;
# 87 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->entire_ub) = entire_ub;
# 88 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->dirty) = (0);
# 89 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->dirty_lb) = (-(1));
# 90 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->dirty_ub) = (-(1));
# 91 "/tmp/tmp.rutwVzhqmN/1.c"
(new_entry->next) = (*(((__MACC_DATA_TABLE_SET + gpu_num)->entries) + index));
# 93 "/tmp/tmp.rutwVzhqmN/1.c"
(*(((__MACC_DATA_TABLE_SET + gpu_num)->entries) + index)) = new_entry;
}
# 96 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * __macc_data_table_find(int gpu_num, void * ptr)
{
# 98 "/tmp/tmp.rutwVzhqmN/1.c"
int index = (((long)(ptr)) / (16)) % (256);
# 99 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * entry = *(((__MACC_DATA_TABLE_SET + gpu_num)->entries) + index);
# 101 "/tmp/tmp.rutwVzhqmN/1.c"
while(entry != ((void * )(0))) {
{
# 102 "/tmp/tmp.rutwVzhqmN/1.c"
if((entry->addr) == ptr) {
# 103 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->offset) = (0);
# 104 "/tmp/tmp.rutwVzhqmN/1.c"
return entry;
}
# 107 "/tmp/tmp.rutwVzhqmN/1.c"
entry = (entry->next);
}
}
{
# 110 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataWrapCache wrap_cache = __MACC_DATA_WRAP_CACHE_SET[gpu_num];
# 111 "/tmp/tmp.rutwVzhqmN/1.c"
int lane = (((long)(ptr)) / (16)) % (16);
{
# 113 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 113 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < (*(((&(wrap_cache))->cachenum) + lane)); i++) {
{
# 114 "/tmp/tmp.rutwVzhqmN/1.c"
if(ptr == (*(((&(wrap_cache))->addr) + ((lane * (16)) + i)))) {
# 115 "/tmp/tmp.rutwVzhqmN/1.c"
entry = (*(((&(wrap_cache))->entry) + ((lane * (16)) + i)));
# 116 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->offset) = (*(((&(wrap_cache))->offset) + ((lane * (16)) + i)));
# 117 "/tmp/tmp.rutwVzhqmN/1.c"
return entry;
}
}
}
}
{
# 121 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 121 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < (256); i++) {
{
# 122 "/tmp/tmp.rutwVzhqmN/1.c"
entry = (*(((__MACC_DATA_TABLE_SET + gpu_num)->entries) + i));
# 124 "/tmp/tmp.rutwVzhqmN/1.c"
while(entry != ((void * )(0))) {
{
# 125 "/tmp/tmp.rutwVzhqmN/1.c"
if(((entry->addr) <= ptr) && (ptr <= (entry->addr_ub))) {
# 126 "/tmp/tmp.rutwVzhqmN/1.c"
int offset = (ptr - (entry->addr)) / (entry->type_size);
# 128 "/tmp/tmp.rutwVzhqmN/1.c"
int cachenum = *(((&(wrap_cache))->cachenum) + lane);
# 130 "/tmp/tmp.rutwVzhqmN/1.c"
if(cachenum == (16)) {
# 131 "/tmp/tmp.rutwVzhqmN/1.c"
cachenum = (0);
}
# 134 "/tmp/tmp.rutwVzhqmN/1.c"
(*(((&(wrap_cache))->addr) + ((lane * (16)) + cachenum))) = (entry->addr);
# 135 "/tmp/tmp.rutwVzhqmN/1.c"
(*(((&(wrap_cache))->entry) + ((lane * (16)) + cachenum))) = entry;
# 136 "/tmp/tmp.rutwVzhqmN/1.c"
(*(((&(wrap_cache))->offset) + ((lane * (16)) + cachenum))) = offset;
# 138 "/tmp/tmp.rutwVzhqmN/1.c"
(*(((&(wrap_cache))->cachenum) + lane)) = (cachenum + (1));
# 140 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->offset) = offset;
# 141 "/tmp/tmp.rutwVzhqmN/1.c"
return entry;
}
# 144 "/tmp/tmp.rutwVzhqmN/1.c"
entry = (entry->next);
}
}
}
}
}
# 148 "/tmp/tmp.rutwVzhqmN/1.c"
fprintf(stderr, "Error on __macc_data_table_find: Not found the item %p\n", ptr);
# 149 "/tmp/tmp.rutwVzhqmN/1.c"
exit(-(1));
# 151 "/tmp/tmp.rutwVzhqmN/1.c"
return (void * )(0);
}
}
# 154 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_data_table_delete(int gpu_num, void * ptr)
{
# 156 "/tmp/tmp.rutwVzhqmN/1.c"
int index = (((long)(ptr)) / (16)) % (256);
# 157 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * entry = *(((__MACC_DATA_TABLE_SET + gpu_num)->entries) + index);
# 158 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * pre = (void * )(0);
# 160 "/tmp/tmp.rutwVzhqmN/1.c"
memset((__MACC_DATA_WRAP_CACHE_SET + gpu_num)->cachenum, 0, (16) * (sizeof(int)));
# 162 "/tmp/tmp.rutwVzhqmN/1.c"
if(entry != ((void * )(0))) {
# 163 "/tmp/tmp.rutwVzhqmN/1.c"
if((entry->addr) == ptr) {
# 164 "/tmp/tmp.rutwVzhqmN/1.c"
(*(((__MACC_DATA_TABLE_SET + gpu_num)->entries) + index)) = (entry->next);
# 165 "/tmp/tmp.rutwVzhqmN/1.c"
free_managed(entry);
# 166 "/tmp/tmp.rutwVzhqmN/1.c"
return ;
}
# 169 "/tmp/tmp.rutwVzhqmN/1.c"
pre = entry;
# 170 "/tmp/tmp.rutwVzhqmN/1.c"
entry = (entry->next);
}
# 173 "/tmp/tmp.rutwVzhqmN/1.c"
while((pre != ((void * )(0))) && (entry != ((void * )(0)))) {
{
# 174 "/tmp/tmp.rutwVzhqmN/1.c"
if((entry->addr) == ptr) {
# 175 "/tmp/tmp.rutwVzhqmN/1.c"
(pre->next) = (entry->next);
# 176 "/tmp/tmp.rutwVzhqmN/1.c"
free_managed(entry);
# 177 "/tmp/tmp.rutwVzhqmN/1.c"
return ;
}
# 180 "/tmp/tmp.rutwVzhqmN/1.c"
pre = entry;
# 181 "/tmp/tmp.rutwVzhqmN/1.c"
entry = (entry->next);
}
}
# 184 "/tmp/tmp.rutwVzhqmN/1.c"
fprintf(stderr, "Error on __macc_data_table_delete: Not found the item %p\n", ptr);
# 185 "/tmp/tmp.rutwVzhqmN/1.c"
exit(-(1));
}
# 188 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_delete(int gpu_num, void * ptr, int type_size, int lb, int length)
{
# 190 "/tmp/tmp.rutwVzhqmN/1.c"
acc_delete_async(ptr + (lb * type_size), length * type_size, gpu_num);
# 191 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_data_table_delete(gpu_num, ptr);
# 192 "/tmp/tmp.rutwVzhqmN/1.c"
acc_wait(gpu_num);
}
# 195 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_copyout(int gpu_num, void * ptr, int type_size, int lb, int length)
{
# 197 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * entry = __macc_data_table_find(gpu_num, ptr);
# 199 "/tmp/tmp.rutwVzhqmN/1.c"
if(entry->dirty) {
# 200 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_self_async((entry->addr) + ((entry->dirty_lb) * (entry->type_size)), (((entry->dirty_ub) - (entry->dirty_lb)) + (1)) * (entry->type_size), gpu_num);
}
# 204 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_delete(gpu_num, ptr, type_size, lb, length);
}
# 207 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_copyin(int gpu_num, void * ptr, int type_size, int lb, int length)
{
# 209 "/tmp/tmp.rutwVzhqmN/1.c"
acc_copyin_async(ptr + (lb * type_size), length * type_size, gpu_num);
# 210 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_data_table_insert(gpu_num, ptr, type_size, lb, (lb + length) - (1));
# 211 "/tmp/tmp.rutwVzhqmN/1.c"
acc_wait(gpu_num);
}
# 214 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_create(int gpu_num, void * ptr, int type_size, int lb, int length)
{
# 216 "/tmp/tmp.rutwVzhqmN/1.c"
acc_create_async(ptr + (lb * type_size), length * type_size, gpu_num);
# 217 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_data_table_insert(gpu_num, ptr, type_size, lb, (lb + length) - (1));
# 218 "/tmp/tmp.rutwVzhqmN/1.c"
acc_wait(gpu_num);
}
# 221 "/tmp/tmp.rutwVzhqmN/1.c"
void * __macc_malloc(unsigned long size)
{
# 223 "/tmp/tmp.rutwVzhqmN/1.c"
void * ret = malloc_managed(size);
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
# 227 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_create(omp_get_thread_num(), ret, 1, 0, size);
}
# 230 "/tmp/tmp.rutwVzhqmN/1.c"
return ret;
}
# 233 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_free(void * ptr)
{
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
# 237 "/tmp/tmp.rutwVzhqmN/1.c"
int gpu_num = omp_get_thread_num();
# 238 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * entry = __macc_data_table_find(gpu_num, ptr);
# 240 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_delete(gpu_num, ptr, 1, 0, (entry->entire_ub) + (1));
}
# 242 "/tmp/tmp.rutwVzhqmN/1.c"
free_managed(ptr);
}
# 245 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_update_self(int gpu_num, void * ptr, int type_size, int lb, int length)
{
# 247 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * entry = __macc_data_table_find(gpu_num, ptr);
# 248 "/tmp/tmp.rutwVzhqmN/1.c"
ptr = (entry->addr);
# 249 "/tmp/tmp.rutwVzhqmN/1.c"
lb += (entry->offset);
{
# 250 "/tmp/tmp.rutwVzhqmN/1.c"
int ub = (lb + length) - (1);
# 252 "/tmp/tmp.rutwVzhqmN/1.c"
if((entry->dirty) && (!(((entry->dirty_lb) > ub) || ((entry->dirty_ub) < lb)))) {
# 253 "/tmp/tmp.rutwVzhqmN/1.c"
int new_lb = ((entry->dirty_lb) > lb) ?(entry->dirty_lb) : lb;
# 254 "/tmp/tmp.rutwVzhqmN/1.c"
int new_ub = ((entry->dirty_ub) < ub) ?(entry->dirty_ub) : ub;
# 255 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_self(ptr + (new_lb * type_size), ((new_ub - new_lb) + (1)) * type_size);
}
}
}
# 259 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_update_device(int gpu_num, void * ptr, int type_size, int lb, int length)
{
# 261 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_device(ptr + (lb * type_size), length * type_size);
}
# 264 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_init_access_region(int gpu_num, int * lb_set, int * ub_set)
{
# 266 "/tmp/tmp.rutwVzhqmN/1.c"
(lb_set[gpu_num]) = (2147483647);
# 267 "/tmp/tmp.rutwVzhqmN/1.c"
(ub_set[gpu_num]) = (-(1));
}
# 270 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_update_access_region(int gpu_num, int * lb_set, int * ub_set, int val)
{
# 272 "/tmp/tmp.rutwVzhqmN/1.c"
(lb_set[gpu_num]) = (((lb_set[gpu_num]) < val) ?(lb_set[gpu_num]) : val);
# 273 "/tmp/tmp.rutwVzhqmN/1.c"
(ub_set[gpu_num]) = (((ub_set[gpu_num]) > val) ?(ub_set[gpu_num]) : val);
}
# 276 "/tmp/tmp.rutwVzhqmN/1.c"
int __macc_region_is_overlapping(int * lb_set, int * ub_set)
{
{
# 278 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 278 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < (__MACC_NUMGPUS - (1)); i++) {
{
{
# 279 "/tmp/tmp.rutwVzhqmN/1.c"
int j;
# 279 "/tmp/tmp.rutwVzhqmN/1.c"
for(j = (i + (1)); j < __MACC_NUMGPUS; j++) {
{
# 280 "/tmp/tmp.rutwVzhqmN/1.c"
if(!(((lb_set[i]) > (ub_set[j])) || ((ub_set[i]) < (lb_set[j])))) {
# 281 "/tmp/tmp.rutwVzhqmN/1.c"
return 1;
}
}
}
}
}
}
}
# 283 "/tmp/tmp.rutwVzhqmN/1.c"
return 0;
}
# 287 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_calc_loop_region(int * loop_lb_set, int * loop_ub_set, int entire_start, int entire_end, int step, int until_equal)
{
# 291 "/tmp/tmp.rutwVzhqmN/1.c"
int tmp = entire_start + (step * ((entire_end - entire_start) / step));
# 292 "/tmp/tmp.rutwVzhqmN/1.c"
entire_end = (tmp - ((until_equal || (entire_end != tmp)) ?(0) : step));
{
# 294 "/tmp/tmp.rutwVzhqmN/1.c"
int len = (entire_end - entire_start) + step;
# 295 "/tmp/tmp.rutwVzhqmN/1.c"
int width = (int)(((float)(len)) / __MACC_NUMGPUS);
# 296 "/tmp/tmp.rutwVzhqmN/1.c"
width -= (width % step);
{
# 297 "/tmp/tmp.rutwVzhqmN/1.c"
int rem = (len - (width * __MACC_NUMGPUS)) / step;
# 298 "/tmp/tmp.rutwVzhqmN/1.c"
width -= step;
{
# 300 "/tmp/tmp.rutwVzhqmN/1.c"
int pos = entire_start;
{
# 302 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 302 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < __MACC_NUMGPUS; i++) {
{
# 303 "/tmp/tmp.rutwVzhqmN/1.c"
(loop_lb_set[i]) = pos;
# 304 "/tmp/tmp.rutwVzhqmN/1.c"
pos = ((width < (0)) ? pos : ((((pos + width) + ((i < rem) ? step : (0))) < entire_end) ?((pos + width) + ((i < rem) ? step : (0))) : entire_end));
# 305 "/tmp/tmp.rutwVzhqmN/1.c"
(loop_ub_set[i]) = pos;
# 306 "/tmp/tmp.rutwVzhqmN/1.c"
pos = (((pos + step) < entire_end) ?(pos + step) : entire_end);
}
}
}
}
}
}
}
# 310 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_adjust_data_region(void * ptr, int gpu_num, int * lb_set, int * ub_set)
{
# 312 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * entry = __macc_data_table_find(gpu_num, ptr);
# 314 "/tmp/tmp.rutwVzhqmN/1.c"
(lb_set[gpu_num]) += (entry->offset);
# 315 "/tmp/tmp.rutwVzhqmN/1.c"
(ub_set[gpu_num]) += (entry->offset);
}
# 318 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_rewrite_loop_region_into_single(int * loop_lb_set, int * loop_ub_set)
{
# 320 "/tmp/tmp.rutwVzhqmN/1.c"
(loop_ub_set[(0)]) = (loop_ub_set[(__MACC_NUMGPUS - (1))]);
{
# 322 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 322 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (1); i < __MACC_NUMGPUS; i++) {
{
# 323 "/tmp/tmp.rutwVzhqmN/1.c"
(loop_lb_set[i]) = (1);
# 324 "/tmp/tmp.rutwVzhqmN/1.c"
(loop_ub_set[i]) = (0);
}
}
}
}
# 328 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_rewrite_data_region_into_single(int * lb_set, int * ub_set)
{
# 330 "/tmp/tmp.rutwVzhqmN/1.c"
int gpu_ub = __MACC_NUMGPUS - (1);
# 331 "/tmp/tmp.rutwVzhqmN/1.c"
(lb_set[(0)]) = (((lb_set[(0)]) < (lb_set[gpu_ub])) ?(lb_set[(0)]) : (lb_set[gpu_ub]));
# 332 "/tmp/tmp.rutwVzhqmN/1.c"
(ub_set[(0)]) = (((ub_set[(0)]) > (ub_set[gpu_ub])) ?(ub_set[(0)]) : (ub_set[gpu_ub]));
}
# 335 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_sync_data(int gpu_num, void * ptr, int type_size, int lb, int ub)
{
# 337 "/tmp/tmp.rutwVzhqmN/1.c"
void * update_addr = ptr + (lb * type_size);
# 338 "/tmp/tmp.rutwVzhqmN/1.c"
unsigned long length_b = ((ub - lb) + (1)) * type_size;
# 340 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_self(update_addr, length_b);
{
# 343 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 343 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < __MACC_NUMGPUS; i++) {
{
# 346 "/tmp/tmp.rutwVzhqmN/1.c"
if(i != gpu_num) {
# 347 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_set_gpu_num(i);
# 348 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_device(update_addr, length_b);
}
}
}
}
# 352 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_set_gpu_num(gpu_num);
}
# 356 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_set_data_region(int gpu_num, void * ptr, int multi, int use_type, int * use_lb_set, int * use_ub_set, int def_type, int * def_lb_set, int * def_ub_set)
{
# 360 "/tmp/tmp.rutwVzhqmN/1.c"
struct __MaccDataTableEntry * entry = __macc_data_table_find(gpu_num, ptr);
# 361 "/tmp/tmp.rutwVzhqmN/1.c"
ptr = (entry->addr);
# 366 "/tmp/tmp.rutwVzhqmN/1.c"
if(((entry->dirty) && (multi || (gpu_num != (0)))) && (__MACC_NUMGPUS > (1))) {
# 367 "/tmp/tmp.rutwVzhqmN/1.c"
int update_all = 0;
# 368 "/tmp/tmp.rutwVzhqmN/1.c"
int update_all_DtoH = 0;
# 370 "/tmp/tmp.rutwVzhqmN/1.c"
if((use_type == (0)) || (def_type == (0))) {
# 371 "/tmp/tmp.rutwVzhqmN/1.c"
update_all = (1);
}
else {
# 373 "/tmp/tmp.rutwVzhqmN/1.c"
if(def_type == (2)) {
{
# 374 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 374 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < __MACC_NUMGPUS; i++) {
{
# 375 "/tmp/tmp.rutwVzhqmN/1.c"
if((i != gpu_num) && (!(((entry->dirty_lb) > (def_ub_set[i])) || ((entry->dirty_ub) < (def_lb_set[i]))))) {
# 378 "/tmp/tmp.rutwVzhqmN/1.c"
update_all = (1);
# 379 "/tmp/tmp.rutwVzhqmN/1.c"
break;
}
}
}
}
}
}
# 384 "/tmp/tmp.rutwVzhqmN/1.c"
if(! update_all) {
# 385 "/tmp/tmp.rutwVzhqmN/1.c"
int every_whole = 1;
# 386 "/tmp/tmp.rutwVzhqmN/1.c"
int unused_lb = entry->dirty_lb;
# 387 "/tmp/tmp.rutwVzhqmN/1.c"
int unused_ub = entry->dirty_ub;
{
# 389 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 389 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < __MACC_NUMGPUS; i++) {
{
# 390 "/tmp/tmp.rutwVzhqmN/1.c"
if(i != gpu_num) {
# 391 "/tmp/tmp.rutwVzhqmN/1.c"
if(((use_lb_set[i]) <= (entry->dirty_lb)) && ((entry->dirty_ub) <= (use_ub_set[i]))) {
# 393 "/tmp/tmp.rutwVzhqmN/1.c"
update_all_DtoH = (1);
}
else {
# 396 "/tmp/tmp.rutwVzhqmN/1.c"
every_whole = (0);
# 398 "/tmp/tmp.rutwVzhqmN/1.c"
if((use_lb_set[i]) <= unused_lb) {
# 399 "/tmp/tmp.rutwVzhqmN/1.c"
unused_lb = ((unused_lb > ((use_ub_set[i]) + (1))) ? unused_lb : ((use_ub_set[i]) + (1)));
}
else {
# 400 "/tmp/tmp.rutwVzhqmN/1.c"
if((use_ub_set[i]) >= unused_ub) {
# 401 "/tmp/tmp.rutwVzhqmN/1.c"
unused_ub = ((unused_ub < ((use_lb_set[i]) - (1))) ? unused_ub : ((use_lb_set[i]) - (1)));
}
}
}
}
}
}
}
# 406 "/tmp/tmp.rutwVzhqmN/1.c"
if(every_whole) {
# 407 "/tmp/tmp.rutwVzhqmN/1.c"
update_all = (1);
}
# 408 "/tmp/tmp.rutwVzhqmN/1.c"
if(unused_ub < unused_lb) {
# 409 "/tmp/tmp.rutwVzhqmN/1.c"
update_all_DtoH = (1);
}
}
# 413 "/tmp/tmp.rutwVzhqmN/1.c"
if(update_all) {
# 414 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_sync_data(gpu_num, ptr, entry->type_size, entry->dirty_lb, entry->dirty_ub);
# 415 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty) = (0);
}
else {
# 419 "/tmp/tmp.rutwVzhqmN/1.c"
if((entry->dirty) && (use_type == (2))) {
# 420 "/tmp/tmp.rutwVzhqmN/1.c"
int thread_num = multi ? __MACC_NUMGPUS : (1);
# 422 "/tmp/tmp.rutwVzhqmN/1.c"
if(update_all_DtoH) {
# 423 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_self(ptr + ((entry->dirty_lb) * (entry->type_size)), (((entry->dirty_ub) - (entry->dirty_lb)) + (1)) * (entry->type_size));
}
{
# 427 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 427 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < thread_num; i++) {
{
# 431 "/tmp/tmp.rutwVzhqmN/1.c"
if((i != gpu_num) && (!(((entry->dirty_lb) > (use_ub_set[i])) || ((entry->dirty_ub) < (use_lb_set[i]))))) {
# 435 "/tmp/tmp.rutwVzhqmN/1.c"
int update_lb = ((entry->dirty_lb) > (use_lb_set[i])) ?(entry->dirty_lb) : (use_lb_set[i]);
# 436 "/tmp/tmp.rutwVzhqmN/1.c"
int update_ub = ((entry->dirty_ub) < (use_ub_set[i])) ?(entry->dirty_ub) : (use_ub_set[i]);
# 437 "/tmp/tmp.rutwVzhqmN/1.c"
void * update_addr = ptr + (update_lb * (entry->type_size));
# 438 "/tmp/tmp.rutwVzhqmN/1.c"
unsigned long length_b = ((update_ub - update_lb) + (1)) * (entry->type_size);
# 440 "/tmp/tmp.rutwVzhqmN/1.c"
if(! update_all_DtoH) {
# 441 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_set_gpu_num(gpu_num);
# 442 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_self(update_addr, length_b);
}
# 444 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_set_gpu_num(i);
# 445 "/tmp/tmp.rutwVzhqmN/1.c"
acc_update_device(update_addr, length_b);
}
}
}
}
# 449 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_set_gpu_num(gpu_num);
}
}
}
# 458 "/tmp/tmp.rutwVzhqmN/1.c"
if((multi || (gpu_num == (0))) && (def_type != (1))) {
# 459 "/tmp/tmp.rutwVzhqmN/1.c"
if(def_type == (0)) {
# 460 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty) = (1);
# 461 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_lb) = (entry->entire_lb);
# 462 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_ub) = (entry->entire_ub);
}
else {
# 465 "/tmp/tmp.rutwVzhqmN/1.c"
if(!(entry->dirty)) {
# 466 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty) = (1);
# 467 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_lb) = (def_lb_set[gpu_num]);
# 468 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_ub) = (def_ub_set[gpu_num]);
}
else {
# 473 "/tmp/tmp.rutwVzhqmN/1.c"
if(((!(((entry->dirty_lb) > (def_ub_set[gpu_num])) || ((entry->dirty_ub) < (def_lb_set[gpu_num])))) || ((entry->dirty_lb) == ((def_ub_set[gpu_num]) + (1)))) || ((def_lb_set[gpu_num]) == ((entry->dirty_ub) + (1)))) {
# 481 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_lb) = (((entry->dirty_lb) < (def_lb_set[gpu_num])) ?(entry->dirty_lb) : (def_lb_set[gpu_num]));
# 482 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_ub) = (((entry->dirty_ub) > (def_ub_set[gpu_num])) ?(entry->dirty_ub) : (def_ub_set[gpu_num]));
}
else {
# 486 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_sync_data(gpu_num, ptr, entry->type_size, entry->dirty_lb, entry->dirty_ub);
# 487 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_lb) = (def_lb_set[gpu_num]);
# 488 "/tmp/tmp.rutwVzhqmN/1.c"
(entry->dirty_ub) = (def_ub_set[gpu_num]);
}
}
}
}
}
# 493 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_set_data_region_multi(int gpu_num, int multi, int len, void * * ptrs, int * use_type, int * * use_lb_set, int * * use_ub_set, int * def_type, int * * def_lb_set, int * * def_ub_set)
{
{
# 499 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 499 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < len; i++) {
{
# 502 "/tmp/tmp.rutwVzhqmN/1.c"
int tnum = i;
# 504 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_set_gpu_num(gpu_num);
# 506 "/tmp/tmp.rutwVzhqmN/1.c"
__macc_set_data_region(gpu_num, ptrs[tnum], multi, use_type[tnum], use_lb_set[tnum], use_ub_set[tnum], def_type[tnum], def_lb_set[tnum], def_ub_set[tnum]);
}
}
}
}
# 513 "/tmp/tmp.rutwVzhqmN/1.c"
void __macc_init()
{
# 515 "/tmp/tmp.rutwVzhqmN/1.c"
char * env_macc_numgpus = getenv("MACC_NUMGPUS");
# 517 "/tmp/tmp.rutwVzhqmN/1.c"
if(env_macc_numgpus != ((void * )(0))) {
# 518 "/tmp/tmp.rutwVzhqmN/1.c"
__MACC_NUMGPUS = (atoi(env_macc_numgpus));
}
else {
# 521 "/tmp/tmp.rutwVzhqmN/1.c"
__MACC_NUMGPUS = (__macc_get_num_gpus());
}
# 524 "/tmp/tmp.rutwVzhqmN/1.c"
if(__MACC_NUMGPUS <= (0)) {
# 525 "/tmp/tmp.rutwVzhqmN/1.c"
fputs("[MACC ERROR] No GPU device found.", stderr);
# 526 "/tmp/tmp.rutwVzhqmN/1.c"
exit(-(1));
}
{
# 529 "/tmp/tmp.rutwVzhqmN/1.c"
char * topo = getenv("MACC_TOPOLOGY");
# 531 "/tmp/tmp.rutwVzhqmN/1.c"
if(topo != ((void * )(0))) {
# 532 "/tmp/tmp.rutwVzhqmN/1.c"
int i = 0;
# 533 "/tmp/tmp.rutwVzhqmN/1.c"
topo = (strtok(topo, ","));
# 534 "/tmp/tmp.rutwVzhqmN/1.c"
while(topo != ((void * )(0))) {
{
# 535 "/tmp/tmp.rutwVzhqmN/1.c"
(__MACC_TOPOLOGY[i]) = (atoi(topo));
# 536 "/tmp/tmp.rutwVzhqmN/1.c"
topo = (strtok((void * )(0), ","));
# 537 "/tmp/tmp.rutwVzhqmN/1.c"
i++;
}
}
}
else {
{
# 540 "/tmp/tmp.rutwVzhqmN/1.c"
int i;
# 540 "/tmp/tmp.rutwVzhqmN/1.c"
for(i = (0); i < __MACC_NUMGPUS; i++) {
{
# 541 "/tmp/tmp.rutwVzhqmN/1.c"
(__MACC_TOPOLOGY[i]) = i;
}
}
}
}
# 557 "/tmp/tmp.rutwVzhqmN/1.c"
__MACC_DATA_TABLE_SET = (calloc_managed(__MACC_NUMGPUS, sizeof(struct __MaccDataTable)));
# 558 "/tmp/tmp.rutwVzhqmN/1.c"
__MACC_DATA_WRAP_CACHE_SET = (calloc_managed(__MACC_NUMGPUS, sizeof(struct __MaccDataWrapCache)));
{
# 561 "/tmp/tmp.rutwVzhqmN/1.c"
int t;
# 561 "/tmp/tmp.rutwVzhqmN/1.c"
for(t = (0); t < (10); t++) {
{
# 562 "/tmp/tmp.rutwVzhqmN/1.c"
printf("[MACC] Wake up (%d)\n", t);
{
# 564 "/tmp/tmp.rutwVzhqmN/1.c"
int n = ((256) * (1024)) * (1024);
# 565 "/tmp/tmp.rutwVzhqmN/1.c"
int * tmp = malloc_managed(n * (sizeof(int)));
{
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
__macc_copyin(__macc_tnum, tmp, sizeof(int), 0, n);
}
}
{
{
static int __macc_region_is_changed = 1;
static int __macc_multi = 1;
static void * __macc_ptrs[1];
static int __macc_use_types[1];
static int * __macc_use_lb_sets[1];
static int * __macc_use_ub_sets[1];
static int __macc_def_types[1];
static int * __macc_def_lb_sets[1];
static int * __macc_def_ub_sets[1];
static int __macc_tmp_def_ub_set[10];
static int __macc_tmp_def_lb_set[10];
static int __macc_tmp_use_ub_set[10];
static int __macc_tmp_use_lb_set[10];
static int __macc_n_last;
static int __macc_i_loop_lb_set[10];
static int __macc_i_loop_ub_set[10];
__macc_region_is_changed = (__macc_region_is_changed || (n != __macc_n_last));
if(__macc_region_is_changed) {
__macc_multi = (1);
__macc_region_is_changed = (0);
{
__macc_n_last = n;
}
{
__macc_calc_loop_region(__macc_i_loop_lb_set, __macc_i_loop_ub_set, 1, n - (1), 1, 1);
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_gpu_num;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_gpu_num = (omp_get_thread_num());
{
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_gpu_num]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_gpu_num]);
}
{
{
{
__macc_init_access_region(__macc_gpu_num, __macc_tmp_use_lb_set, __macc_tmp_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set);
{
}
{
__macc_update_access_region(__macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set, __macc_top_loop_lb);
__macc_update_access_region(__macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set, __macc_top_loop_ub);
}
__macc_adjust_data_region(tmp, __macc_gpu_num, __macc_tmp_use_lb_set, __macc_tmp_use_ub_set);
__macc_adjust_data_region(tmp, __macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set);
}
(__macc_ptrs[0]) = tmp;
(__macc_use_types[0]) = (1);
(__macc_use_lb_sets[0]) = __macc_tmp_use_lb_set;
(__macc_use_ub_sets[0]) = __macc_tmp_use_ub_set;
(__macc_def_types[0]) = (2);
(__macc_def_lb_sets[0]) = __macc_tmp_def_lb_set;
(__macc_def_ub_sets[0]) = __macc_tmp_def_ub_set;
}
}
}
if(__macc_region_is_overlapping(__macc_tmp_def_lb_set, __macc_tmp_def_ub_set)) {
__macc_multi = (0);
{
__macc_rewrite_loop_region_into_single(__macc_i_loop_lb_set, __macc_i_loop_ub_set);
{
__macc_rewrite_data_region_into_single(__macc_tmp_def_lb_set, __macc_tmp_def_ub_set);
}
}
}
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
int __macc_num_gangs;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_tnum]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_tnum]);
__macc_set_data_region_multi(__macc_tnum, __macc_multi, 1, __macc_ptrs, __macc_use_types, __macc_use_lb_sets, __macc_use_ub_sets, __macc_def_types, __macc_def_lb_sets, __macc_def_ub_sets);
#pragma omp barrier
__macc_num_gangs = ( __macc_multi ? (((512) + __MACC_NUMGPUS) - (1)) / __MACC_NUMGPUS : 512 );
#pragma acc parallel present ( tmp ) num_gangs (__macc_num_gangs) vector_length ( 1024 )
#pragma acc loop gang vector
# 571 "/tmp/tmp.rutwVzhqmN/1.c"
# 571 "/tmp/tmp.rutwVzhqmN/1.c"
for(int i= __macc_top_loop_lb; i <= __macc_top_loop_ub; i++) {
{
# 572 "/tmp/tmp.rutwVzhqmN/1.c"
(tmp[i]) = i;
}
}
}
}
}
{
static int __macc_region_is_changed = 1;
static int __macc_multi = 1;
static void * __macc_ptrs[1];
static int __macc_use_types[1];
static int * __macc_use_lb_sets[1];
static int * __macc_use_ub_sets[1];
static int __macc_def_types[1];
static int * __macc_def_lb_sets[1];
static int * __macc_def_ub_sets[1];
static int __macc_tmp_def_ub_set[10];
static int __macc_tmp_def_lb_set[10];
static int __macc_tmp_use_ub_set[10];
static int __macc_tmp_use_lb_set[10];
static int __macc_n_last;
static int __macc_i_loop_lb_set[10];
static int __macc_i_loop_ub_set[10];
__macc_region_is_changed = (__macc_region_is_changed || (n != __macc_n_last));
if(__macc_region_is_changed) {
__macc_multi = (1);
__macc_region_is_changed = (0);
{
__macc_n_last = n;
}
{
__macc_calc_loop_region(__macc_i_loop_lb_set, __macc_i_loop_ub_set, 1, n - (1), 1, 1);
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_gpu_num;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_gpu_num = (omp_get_thread_num());
{
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_gpu_num]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_gpu_num]);
}
{
{
{
__macc_init_access_region(__macc_gpu_num, __macc_tmp_use_lb_set, __macc_tmp_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_tmp_use_lb_set, __macc_tmp_use_ub_set, n - __macc_top_loop_lb);
__macc_update_access_region(__macc_gpu_num, __macc_tmp_use_lb_set, __macc_tmp_use_ub_set, n - __macc_top_loop_ub);
}
{
__macc_update_access_region(__macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set, n - __macc_top_loop_lb);
__macc_update_access_region(__macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set, n - __macc_top_loop_ub);
}
__macc_adjust_data_region(tmp, __macc_gpu_num, __macc_tmp_use_lb_set, __macc_tmp_use_ub_set);
__macc_adjust_data_region(tmp, __macc_gpu_num, __macc_tmp_def_lb_set, __macc_tmp_def_ub_set);
}
(__macc_ptrs[0]) = tmp;
(__macc_use_types[0]) = (2);
(__macc_use_lb_sets[0]) = __macc_tmp_use_lb_set;
(__macc_use_ub_sets[0]) = __macc_tmp_use_ub_set;
(__macc_def_types[0]) = (2);
(__macc_def_lb_sets[0]) = __macc_tmp_def_lb_set;
(__macc_def_ub_sets[0]) = __macc_tmp_def_ub_set;
}
}
}
if(__macc_region_is_overlapping(__macc_tmp_def_lb_set, __macc_tmp_def_ub_set)) {
__macc_multi = (0);
{
__macc_rewrite_loop_region_into_single(__macc_i_loop_lb_set, __macc_i_loop_ub_set);
{
__macc_rewrite_data_region_into_single(__macc_tmp_use_lb_set, __macc_tmp_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_tmp_def_lb_set, __macc_tmp_def_ub_set);
}
}
}
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
int __macc_num_gangs;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_tnum]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_tnum]);
__macc_set_data_region_multi(__macc_tnum, __macc_multi, 1, __macc_ptrs, __macc_use_types, __macc_use_lb_sets, __macc_use_ub_sets, __macc_def_types, __macc_def_lb_sets, __macc_def_ub_sets);
#pragma omp barrier
__macc_num_gangs = ( __macc_multi ? (((512) + __MACC_NUMGPUS) - (1)) / __MACC_NUMGPUS : 512 );
#pragma acc parallel present ( tmp ) num_gangs (__macc_num_gangs) vector_length ( 1024 )
#pragma acc loop gang vector
# 576 "/tmp/tmp.rutwVzhqmN/1.c"
# 576 "/tmp/tmp.rutwVzhqmN/1.c"
for(int i= __macc_top_loop_lb; i <= __macc_top_loop_ub; i++) {
{
# 577 "/tmp/tmp.rutwVzhqmN/1.c"
(tmp[(n - i)]) += i;
}
}
}
}
}
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
__macc_copyout(__macc_tnum, tmp, sizeof(int), 0, n);
}
}
}
# 580 "/tmp/tmp.rutwVzhqmN/1.c"
free_managed(tmp);
}
}
}
}
}
}
extern void * malloc_managed(unsigned long);
extern void * calloc_managed(unsigned long, unsigned long);
extern void free_managed(void * );
extern void cfree_managed(void * );
extern void * realloc_managed(void * , unsigned long);
extern void * valloc_managed(unsigned long);
extern void * pvalloc_managed(unsigned long);
extern void * memalign_managed(unsigned long, unsigned long);
extern int posix_memalign_managed(void * * , unsigned long, unsigned long);
extern char * tmpnam_managed(char * );
extern int gettimeofday(struct timeval * restrict __tv, struct timezone * restrict __tz);
extern int settimeofday(struct timeval const * __tv, struct timezone const * __tz);
extern int adjtime(struct timeval const * __delta, struct timeval * __olddelta);
extern int getitimer(int __which, struct itimerval * __value);
extern int setitimer(int __which, struct itimerval const * restrict __new, struct itimerval * restrict __old);
extern int utimes(char const * __file, struct timeval const __tvp[2]);
extern int lutimes(char const * __file, struct timeval const __tvp[2]);
extern int futimes(int __fd, struct timeval const __tvp[2]);
int newMat(struct Mat * Mat, int mnums, int mrows, int mcols, int mdeps);
void clearMat(struct Mat * Mat);
void set_param(int is[], char * size);
void mat_set(struct Mat * Mat, int l, float val);
void mat_set_init(struct Mat * Mat);
float jacobi(int nn, struct Mat * a, struct Mat * b, struct Mat * c, struct Mat * p, struct Mat * bnd, struct Mat * wrk1, struct Mat * wrk2);
double fflop(int mx, int my, int mz);
double mflops(int nn, double cpu, double flop);
# 32 "/tmp/tmp.rutwVzhqmN/in.c"
double second()
{
# 35 "/tmp/tmp.rutwVzhqmN/in.c"
struct timeval tm;
# 36 "/tmp/tmp.rutwVzhqmN/in.c"
double t;
# 38 "/tmp/tmp.rutwVzhqmN/in.c"
static int base_sec = 0;
# 38 "/tmp/tmp.rutwVzhqmN/in.c"
static int base_usec = 0;
# 40 "/tmp/tmp.rutwVzhqmN/in.c"
gettimeofday(&(tm), (void * )(0));
# 42 "/tmp/tmp.rutwVzhqmN/in.c"
if((base_sec == (0)) && (base_usec == (0))) {
# 44 "/tmp/tmp.rutwVzhqmN/in.c"
base_sec = ((&(tm))->tv_sec);
# 45 "/tmp/tmp.rutwVzhqmN/in.c"
base_usec = ((&(tm))->tv_usec);
# 46 "/tmp/tmp.rutwVzhqmN/in.c"
t = (0.0);
}
else {
# 48 "/tmp/tmp.rutwVzhqmN/in.c"
t = (((double)(((&(tm))->tv_sec) - base_sec)) + (((double)(((&(tm))->tv_usec) - base_usec)) / (1.0e6)));
}
# 52 "/tmp/tmp.rutwVzhqmN/in.c"
return t;
}
# 55 "/tmp/tmp.rutwVzhqmN/in.c"
float omega = 0.8;
# 56 "/tmp/tmp.rutwVzhqmN/in.c"
struct Mat a;
# 56 "/tmp/tmp.rutwVzhqmN/in.c"
struct Mat b;
# 56 "/tmp/tmp.rutwVzhqmN/in.c"
struct Mat c;
# 56 "/tmp/tmp.rutwVzhqmN/in.c"
struct Mat p;
# 56 "/tmp/tmp.rutwVzhqmN/in.c"
struct Mat bnd;
# 56 "/tmp/tmp.rutwVzhqmN/in.c"
struct Mat wrk1;
# 56 "/tmp/tmp.rutwVzhqmN/in.c"
struct Mat wrk2;
# 58 "/tmp/tmp.rutwVzhqmN/in.c"
int main(int argc, char * argv[])
{
__macc_init();
{
# 61 "/tmp/tmp.rutwVzhqmN/in.c"
int i;
# 61 "/tmp/tmp.rutwVzhqmN/in.c"
int j;
# 61 "/tmp/tmp.rutwVzhqmN/in.c"
int k;
# 61 "/tmp/tmp.rutwVzhqmN/in.c"
int nn;
# 62 "/tmp/tmp.rutwVzhqmN/in.c"
int imax;
# 62 "/tmp/tmp.rutwVzhqmN/in.c"
int jmax;
# 62 "/tmp/tmp.rutwVzhqmN/in.c"
int kmax;
# 62 "/tmp/tmp.rutwVzhqmN/in.c"
int mimax;
# 62 "/tmp/tmp.rutwVzhqmN/in.c"
int mjmax;
# 62 "/tmp/tmp.rutwVzhqmN/in.c"
int mkmax;
# 62 "/tmp/tmp.rutwVzhqmN/in.c"
int msize[3];
# 63 "/tmp/tmp.rutwVzhqmN/in.c"
float gosa;
# 63 "/tmp/tmp.rutwVzhqmN/in.c"
float target;
# 64 "/tmp/tmp.rutwVzhqmN/in.c"
double cpu0;
# 64 "/tmp/tmp.rutwVzhqmN/in.c"
double cpu1;
# 64 "/tmp/tmp.rutwVzhqmN/in.c"
double cpu;
# 64 "/tmp/tmp.rutwVzhqmN/in.c"
double flop;
# 65 "/tmp/tmp.rutwVzhqmN/in.c"
char size[10];
# 66 "/tmp/tmp.rutwVzhqmN/in.c"
unsigned long bs;
# 67 "/tmp/tmp.rutwVzhqmN/in.c"
float * a_m;
# 67 "/tmp/tmp.rutwVzhqmN/in.c"
float * b_m;
# 67 "/tmp/tmp.rutwVzhqmN/in.c"
float * c_m;
# 67 "/tmp/tmp.rutwVzhqmN/in.c"
float * p_m;
# 67 "/tmp/tmp.rutwVzhqmN/in.c"
float * bnd_m;
# 67 "/tmp/tmp.rutwVzhqmN/in.c"
float * wrk1_m;
# 67 "/tmp/tmp.rutwVzhqmN/in.c"
float * wrk2_m;
# 69 "/tmp/tmp.rutwVzhqmN/in.c"
if(argc == (2)) {
# 70 "/tmp/tmp.rutwVzhqmN/in.c"
strcpy(size, argv[1]);
}
else {
# 72 "/tmp/tmp.rutwVzhqmN/in.c"
printf("For example: \n");
# 73 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Grid-size= XS (32x32x64)\n");
# 74 "/tmp/tmp.rutwVzhqmN/in.c"
printf("\t S (64x64x128)\n");
# 75 "/tmp/tmp.rutwVzhqmN/in.c"
printf("\t M (128x128x256)\n");
# 76 "/tmp/tmp.rutwVzhqmN/in.c"
printf("\t L (256x256x512)\n");
# 77 "/tmp/tmp.rutwVzhqmN/in.c"
printf("\t XL (512x512x1024)\n\n");
# 78 "/tmp/tmp.rutwVzhqmN/in.c"
printf("Grid-size = ");
# 79 "/tmp/tmp.rutwVzhqmN/in.c"
__isoc99_scanf("%s", size);
# 80 "/tmp/tmp.rutwVzhqmN/in.c"
printf("\n");
}
# 83 "/tmp/tmp.rutwVzhqmN/in.c"
set_param(msize, size);
# 85 "/tmp/tmp.rutwVzhqmN/in.c"
mimax = (msize[0]);
# 86 "/tmp/tmp.rutwVzhqmN/in.c"
mjmax = (msize[1]);
# 87 "/tmp/tmp.rutwVzhqmN/in.c"
mkmax = (msize[2]);
# 88 "/tmp/tmp.rutwVzhqmN/in.c"
imax = (mimax - (1));
# 89 "/tmp/tmp.rutwVzhqmN/in.c"
jmax = (mjmax - (1));
# 90 "/tmp/tmp.rutwVzhqmN/in.c"
kmax = (mkmax - (1));
# 91 "/tmp/tmp.rutwVzhqmN/in.c"
bs = ((mimax * mjmax) * mkmax);
# 93 "/tmp/tmp.rutwVzhqmN/in.c"
target = (60.0);
# 95 "/tmp/tmp.rutwVzhqmN/in.c"
printf("mimax = %d mjmax = %d mkmax = %d\n", mimax, mjmax, mkmax);
# 96 "/tmp/tmp.rutwVzhqmN/in.c"
printf("imax = %d jmax = %d kmax =%d\n", imax, jmax, kmax);
# 101 "/tmp/tmp.rutwVzhqmN/in.c"
newMat(&(p), 1, mimax, mjmax, mkmax);
# 102 "/tmp/tmp.rutwVzhqmN/in.c"
newMat(&(bnd), 1, mimax, mjmax, mkmax);
# 103 "/tmp/tmp.rutwVzhqmN/in.c"
newMat(&(wrk1), 1, mimax, mjmax, mkmax);
# 104 "/tmp/tmp.rutwVzhqmN/in.c"
newMat(&(wrk2), 1, mimax, mjmax, mkmax);
# 105 "/tmp/tmp.rutwVzhqmN/in.c"
newMat(&(a), 4, mimax, mjmax, mkmax);
# 106 "/tmp/tmp.rutwVzhqmN/in.c"
newMat(&(b), 3, mimax, mjmax, mkmax);
# 107 "/tmp/tmp.rutwVzhqmN/in.c"
newMat(&(c), 3, mimax, mjmax, mkmax);
# 109 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set_init(&(p));
# 110 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(bnd), 0, 1.0);
# 111 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(wrk1), 0, 0.0);
# 112 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(wrk2), 0, 0.0);
# 113 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(a), 0, 1.0);
# 114 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(a), 1, 1.0);
# 115 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(a), 2, 1.0);
# 116 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(a), 3, (1.0) / (6.0));
# 117 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(b), 0, 0.0);
# 118 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(b), 1, 0.0);
# 119 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(b), 2, 0.0);
# 120 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(c), 0, 1.0);
# 121 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(c), 1, 1.0);
# 122 "/tmp/tmp.rutwVzhqmN/in.c"
mat_set(&(c), 2, 1.0);
# 128 "/tmp/tmp.rutwVzhqmN/in.c"
a_m = ((&(a))->m);
# 129 "/tmp/tmp.rutwVzhqmN/in.c"
b_m = ((&(b))->m);
# 130 "/tmp/tmp.rutwVzhqmN/in.c"
c_m = ((&(c))->m);
# 131 "/tmp/tmp.rutwVzhqmN/in.c"
p_m = ((&(p))->m);
# 132 "/tmp/tmp.rutwVzhqmN/in.c"
bnd_m = ((&(bnd))->m);
# 133 "/tmp/tmp.rutwVzhqmN/in.c"
wrk1_m = ((&(wrk1))->m);
# 134 "/tmp/tmp.rutwVzhqmN/in.c"
wrk2_m = ((&(wrk2))->m);
{
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
__macc_copyin(__macc_tnum, p_m, sizeof(float), 0, bs);
}
}
{
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
__macc_copyin(__macc_tnum, a_m, sizeof(float), 0, bs * (4));
__macc_copyin(__macc_tnum, b_m, sizeof(float), 0, bs * (3));
__macc_copyin(__macc_tnum, c_m, sizeof(float), 0, bs * (3));
__macc_copyin(__macc_tnum, bnd_m, sizeof(float), 0, bs);
__macc_copyin(__macc_tnum, wrk1_m, sizeof(float), 0, bs);
__macc_copyin(__macc_tnum, wrk2_m, sizeof(float), 0, bs);
}
}
{
# 141 "/tmp/tmp.rutwVzhqmN/in.c"
jacobi(1, &(a), &(b), &(c), &(p), &(bnd), &(wrk1), &(wrk2));
# 143 "/tmp/tmp.rutwVzhqmN/in.c"
nn = (3);
# 144 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Start rehearsal measurement process.\n");
# 145 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Measure the performance in %d times.\n\n", nn);
# 147 "/tmp/tmp.rutwVzhqmN/in.c"
cpu0 = (second());
# 148 "/tmp/tmp.rutwVzhqmN/in.c"
gosa = (jacobi(nn, &(a), &(b), &(c), &(p), &(bnd), &(wrk1), &(wrk2)));
# 149 "/tmp/tmp.rutwVzhqmN/in.c"
cpu1 = (second());
# 150 "/tmp/tmp.rutwVzhqmN/in.c"
cpu = (cpu1 - cpu0);
# 151 "/tmp/tmp.rutwVzhqmN/in.c"
flop = (fflop(imax, jmax, kmax));
# 153 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" MFLOPS: %f time(s): %f %e\n\n", mflops(nn, cpu, flop), cpu, gosa);
# 156 "/tmp/tmp.rutwVzhqmN/in.c"
nn = ((int)(target / (cpu / (3.0))));
# 158 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Now, start the actual measurement process.\n");
# 159 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" The loop will be excuted in %d times\n", nn);
# 160 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" This will take about one minute.\n");
# 161 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Wait for a while\n\n");
# 163 "/tmp/tmp.rutwVzhqmN/in.c"
cpu0 = (second());
# 164 "/tmp/tmp.rutwVzhqmN/in.c"
gosa = (jacobi(nn, &(a), &(b), &(c), &(p), &(bnd), &(wrk1), &(wrk2)));
# 165 "/tmp/tmp.rutwVzhqmN/in.c"
cpu1 = (second());
# 166 "/tmp/tmp.rutwVzhqmN/in.c"
cpu = (cpu1 - cpu0);
# 168 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Loop executed for %d times\n", nn);
# 169 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Gosa : %e \n", gosa);
# 170 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" MFLOPS measured : %f\tcpu : %f\n", mflops(nn, cpu, flop), cpu);
# 171 "/tmp/tmp.rutwVzhqmN/in.c"
printf(" Score based on Pentium III 600MHz using Fortran 77: %f\n", (mflops(nn, cpu, flop)) / (82), 84);
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
__macc_delete(__macc_tnum, a_m, sizeof(float), 0, bs * (4));
__macc_delete(__macc_tnum, b_m, sizeof(float), 0, bs * (3));
__macc_delete(__macc_tnum, c_m, sizeof(float), 0, bs * (3));
__macc_delete(__macc_tnum, bnd_m, sizeof(float), 0, bs);
__macc_delete(__macc_tnum, wrk1_m, sizeof(float), 0, bs);
__macc_delete(__macc_tnum, wrk2_m, sizeof(float), 0, bs);
}
}
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
__macc_copyout(__macc_tnum, p_m, sizeof(float), 0, bs);
}
}
}
# 178 "/tmp/tmp.rutwVzhqmN/in.c"
clearMat(&(p));
# 179 "/tmp/tmp.rutwVzhqmN/in.c"
clearMat(&(bnd));
# 180 "/tmp/tmp.rutwVzhqmN/in.c"
clearMat(&(wrk1));
# 181 "/tmp/tmp.rutwVzhqmN/in.c"
clearMat(&(wrk2));
# 182 "/tmp/tmp.rutwVzhqmN/in.c"
clearMat(&(a));
# 183 "/tmp/tmp.rutwVzhqmN/in.c"
clearMat(&(b));
# 184 "/tmp/tmp.rutwVzhqmN/in.c"
clearMat(&(c));
# 186 "/tmp/tmp.rutwVzhqmN/in.c"
return 0;
}
}
# 189 "/tmp/tmp.rutwVzhqmN/in.c"
double fflop(int mx, int my, int mz)
{
# 192 "/tmp/tmp.rutwVzhqmN/in.c"
return ((((double)(mz - (2))) * ((double)(my - (2)))) * ((double)(mx - (2)))) * (34.0);
}
# 195 "/tmp/tmp.rutwVzhqmN/in.c"
double mflops(int nn, double cpu, double flop)
{
# 198 "/tmp/tmp.rutwVzhqmN/in.c"
return ((flop / cpu) * (1.e-6)) * ((double)(nn));
}
# 201 "/tmp/tmp.rutwVzhqmN/in.c"
void set_param(int is[], char * size)
{
# 204 "/tmp/tmp.rutwVzhqmN/in.c"
if((!(strcmp(size, "XS"))) || (!(strcmp(size, "xs")))) {
# 205 "/tmp/tmp.rutwVzhqmN/in.c"
(is[0]) = (32);
# 206 "/tmp/tmp.rutwVzhqmN/in.c"
(is[1]) = (32);
# 207 "/tmp/tmp.rutwVzhqmN/in.c"
(is[2]) = (64);
# 208 "/tmp/tmp.rutwVzhqmN/in.c"
return ;
}
# 210 "/tmp/tmp.rutwVzhqmN/in.c"
if((!(strcmp(size, "S"))) || (!(strcmp(size, "s")))) {
# 211 "/tmp/tmp.rutwVzhqmN/in.c"
(is[0]) = (64);
# 212 "/tmp/tmp.rutwVzhqmN/in.c"
(is[1]) = (64);
# 213 "/tmp/tmp.rutwVzhqmN/in.c"
(is[2]) = (128);
# 214 "/tmp/tmp.rutwVzhqmN/in.c"
return ;
}
# 216 "/tmp/tmp.rutwVzhqmN/in.c"
if((!(strcmp(size, "M"))) || (!(strcmp(size, "m")))) {
# 217 "/tmp/tmp.rutwVzhqmN/in.c"
(is[0]) = (128);
# 218 "/tmp/tmp.rutwVzhqmN/in.c"
(is[1]) = (128);
# 219 "/tmp/tmp.rutwVzhqmN/in.c"
(is[2]) = (256);
# 220 "/tmp/tmp.rutwVzhqmN/in.c"
return ;
}
# 222 "/tmp/tmp.rutwVzhqmN/in.c"
if((!(strcmp(size, "L"))) || (!(strcmp(size, "l")))) {
# 223 "/tmp/tmp.rutwVzhqmN/in.c"
(is[0]) = (256);
# 224 "/tmp/tmp.rutwVzhqmN/in.c"
(is[1]) = (256);
# 225 "/tmp/tmp.rutwVzhqmN/in.c"
(is[2]) = (512);
# 226 "/tmp/tmp.rutwVzhqmN/in.c"
return ;
}
# 228 "/tmp/tmp.rutwVzhqmN/in.c"
if((!(strcmp(size, "XL"))) || (!(strcmp(size, "xl")))) {
# 229 "/tmp/tmp.rutwVzhqmN/in.c"
(is[0]) = (512);
# 230 "/tmp/tmp.rutwVzhqmN/in.c"
(is[1]) = (512);
# 231 "/tmp/tmp.rutwVzhqmN/in.c"
(is[2]) = (1024);
# 232 "/tmp/tmp.rutwVzhqmN/in.c"
return ;
}
else {
# 234 "/tmp/tmp.rutwVzhqmN/in.c"
printf("Invalid input character !!\n");
# 235 "/tmp/tmp.rutwVzhqmN/in.c"
exit(6);
}
}
# 239 "/tmp/tmp.rutwVzhqmN/in.c"
int newMat(struct Mat * Mat, int mnums, int mrows, int mcols, int mdeps)
{
# 242 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mnums) = mnums;
# 243 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mrows) = mrows;
# 244 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mcols) = mcols;
# 245 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mdeps) = mdeps;
# 246 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->m) = ((void * )(0));
# 247 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->m) = ((float * )(malloc_managed((((mnums * mrows) * mcols) * mdeps) * (sizeof(float)))));
# 250 "/tmp/tmp.rutwVzhqmN/in.c"
return ((Mat->m) != ((void * )(0))) ?(1) : (0);
}
# 253 "/tmp/tmp.rutwVzhqmN/in.c"
void clearMat(struct Mat * Mat)
{
# 256 "/tmp/tmp.rutwVzhqmN/in.c"
if(Mat->m) {
# 257 "/tmp/tmp.rutwVzhqmN/in.c"
free_managed(Mat->m);
}
# 258 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->m) = ((void * )(0));
# 259 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mnums) = (0);
# 260 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mcols) = (0);
# 261 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mrows) = (0);
# 262 "/tmp/tmp.rutwVzhqmN/in.c"
(Mat->mdeps) = (0);
}
# 265 "/tmp/tmp.rutwVzhqmN/in.c"
void mat_set(struct Mat * Mat, int l, float val)
{
# 268 "/tmp/tmp.rutwVzhqmN/in.c"
int i;
# 268 "/tmp/tmp.rutwVzhqmN/in.c"
int j;
# 268 "/tmp/tmp.rutwVzhqmN/in.c"
int k;
# 270 "/tmp/tmp.rutwVzhqmN/in.c"
for(i = (0); i < (Mat->mrows); i++) {
{
# 271 "/tmp/tmp.rutwVzhqmN/in.c"
for(j = (0); j < (Mat->mcols); j++) {
{
# 272 "/tmp/tmp.rutwVzhqmN/in.c"
for(k = (0); k < (Mat->mdeps); k++) {
{
# 273 "/tmp/tmp.rutwVzhqmN/in.c"
(*((Mat->m) + ((((((l * (Mat->mrows)) * (Mat->mcols)) * (Mat->mdeps)) + ((i * (Mat->mcols)) * (Mat->mdeps))) + (j * (Mat->mdeps))) + k))) = val;
}
}
}
}
}
}
}
# 276 "/tmp/tmp.rutwVzhqmN/in.c"
void mat_set_init(struct Mat * Mat)
{
# 279 "/tmp/tmp.rutwVzhqmN/in.c"
int i;
# 279 "/tmp/tmp.rutwVzhqmN/in.c"
int j;
# 279 "/tmp/tmp.rutwVzhqmN/in.c"
int k;
# 279 "/tmp/tmp.rutwVzhqmN/in.c"
int l;
# 280 "/tmp/tmp.rutwVzhqmN/in.c"
float tt;
# 282 "/tmp/tmp.rutwVzhqmN/in.c"
for(i = (0); i < (Mat->mrows); i++) {
{
# 283 "/tmp/tmp.rutwVzhqmN/in.c"
for(j = (0); j < (Mat->mcols); j++) {
{
# 284 "/tmp/tmp.rutwVzhqmN/in.c"
for(k = (0); k < (Mat->mdeps); k++) {
{
# 285 "/tmp/tmp.rutwVzhqmN/in.c"
(*((Mat->m) + (((((((0) * (Mat->mrows)) * (Mat->mcols)) * (Mat->mdeps)) + ((i * (Mat->mcols)) * (Mat->mdeps))) + (j * (Mat->mdeps))) + k))) = (((float)(i * i)) / ((float)(((Mat->mrows) - (1)) * ((Mat->mrows) - (1)))));
}
}
}
}
}
}
}
# 300 "/tmp/tmp.rutwVzhqmN/in.c"
float jacobi(int nn, struct Mat * a, struct Mat * b, struct Mat * c, struct Mat * p, struct Mat * bnd, struct Mat * wrk1, struct Mat * wrk2)
{
# 304 "/tmp/tmp.rutwVzhqmN/in.c"
unsigned long mrows = p->mrows;
# 305 "/tmp/tmp.rutwVzhqmN/in.c"
unsigned long mcols = p->mcols;
# 306 "/tmp/tmp.rutwVzhqmN/in.c"
unsigned long mdeps = p->mdeps;
# 308 "/tmp/tmp.rutwVzhqmN/in.c"
int i;
# 308 "/tmp/tmp.rutwVzhqmN/in.c"
int j;
# 308 "/tmp/tmp.rutwVzhqmN/in.c"
int k;
# 308 "/tmp/tmp.rutwVzhqmN/in.c"
int n;
# 308 "/tmp/tmp.rutwVzhqmN/in.c"
int imax;
# 308 "/tmp/tmp.rutwVzhqmN/in.c"
int jmax;
# 308 "/tmp/tmp.rutwVzhqmN/in.c"
int kmax;
# 309 "/tmp/tmp.rutwVzhqmN/in.c"
float gosa;
# 309 "/tmp/tmp.rutwVzhqmN/in.c"
float s0;
# 309 "/tmp/tmp.rutwVzhqmN/in.c"
float ss;
# 311 "/tmp/tmp.rutwVzhqmN/in.c"
float * a_m;
# 311 "/tmp/tmp.rutwVzhqmN/in.c"
float * b_m;
# 311 "/tmp/tmp.rutwVzhqmN/in.c"
float * c_m;
# 311 "/tmp/tmp.rutwVzhqmN/in.c"
float * p_m;
# 311 "/tmp/tmp.rutwVzhqmN/in.c"
float * bnd_m;
# 311 "/tmp/tmp.rutwVzhqmN/in.c"
float * wrk1_m;
# 311 "/tmp/tmp.rutwVzhqmN/in.c"
float * wrk2_m;
# 313 "/tmp/tmp.rutwVzhqmN/in.c"
imax = (mrows - (1));
# 314 "/tmp/tmp.rutwVzhqmN/in.c"
jmax = (mcols - (1));
# 315 "/tmp/tmp.rutwVzhqmN/in.c"
kmax = (mdeps - (1));
# 317 "/tmp/tmp.rutwVzhqmN/in.c"
a_m = (a->m);
# 318 "/tmp/tmp.rutwVzhqmN/in.c"
b_m = (b->m);
# 319 "/tmp/tmp.rutwVzhqmN/in.c"
c_m = (c->m);
# 320 "/tmp/tmp.rutwVzhqmN/in.c"
p_m = (p->m);
# 321 "/tmp/tmp.rutwVzhqmN/in.c"
bnd_m = (bnd->m);
# 322 "/tmp/tmp.rutwVzhqmN/in.c"
wrk1_m = (wrk1->m);
# 323 "/tmp/tmp.rutwVzhqmN/in.c"
wrk2_m = (wrk2->m);
{
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
}
}
# 326 "/tmp/tmp.rutwVzhqmN/in.c"
for(n = (0); n < nn; n++) {
{
# 327 "/tmp/tmp.rutwVzhqmN/in.c"
gosa = (0.0);
{
static int __macc_region_is_changed = 1;
static int __macc_multi = 1;
static void * __macc_ptrs[7];
static int __macc_use_types[7];
static int * __macc_use_lb_sets[7];
static int * __macc_use_ub_sets[7];
static int __macc_def_types[7];
static int * __macc_def_lb_sets[7];
static int * __macc_def_ub_sets[7];
static int __macc_wrk1_m_def_ub_set[10];
static int __macc_wrk1_m_def_lb_set[10];
static int __macc_wrk1_m_use_ub_set[10];
static int __macc_wrk1_m_use_lb_set[10];
static int __macc_p_m_def_ub_set[10];
static int __macc_p_m_def_lb_set[10];
static int __macc_p_m_use_ub_set[10];
static int __macc_p_m_use_lb_set[10];
static int __macc_c_m_def_ub_set[10];
static int __macc_c_m_def_lb_set[10];
static int __macc_c_m_use_ub_set[10];
static int __macc_c_m_use_lb_set[10];
static int __macc_bnd_m_def_ub_set[10];
static int __macc_bnd_m_def_lb_set[10];
static int __macc_bnd_m_use_ub_set[10];
static int __macc_bnd_m_use_lb_set[10];
static int __macc_b_m_def_ub_set[10];
static int __macc_b_m_def_lb_set[10];
static int __macc_b_m_use_ub_set[10];
static int __macc_b_m_use_lb_set[10];
static int __macc_a_m_def_ub_set[10];
static int __macc_a_m_def_lb_set[10];
static int __macc_a_m_use_ub_set[10];
static int __macc_a_m_use_lb_set[10];
static int __macc_wrk2_m_def_ub_set[10];
static int __macc_wrk2_m_def_lb_set[10];
static int __macc_wrk2_m_use_ub_set[10];
static int __macc_wrk2_m_use_lb_set[10];
static int __macc_imax_last;
static unsigned long __macc_mrows_last;
static unsigned long __macc_mcols_last;
static unsigned long __macc_mdeps_last;
static int __macc_i_loop_lb_set[10];
static int __macc_i_loop_ub_set[10];
__macc_region_is_changed = (__macc_region_is_changed || ((mdeps != __macc_mdeps_last) || ((mcols != __macc_mcols_last) || ((mrows != __macc_mrows_last) || (imax != __macc_imax_last)))));
if(__macc_region_is_changed) {
__macc_multi = (1);
__macc_region_is_changed = (0);
{
__macc_mdeps_last = mdeps;
__macc_mcols_last = mcols;
__macc_mrows_last = mrows;
__macc_imax_last = imax;
}
{
__macc_calc_loop_region(__macc_i_loop_lb_set, __macc_i_loop_ub_set, 1, imax - (1), 1, 1);
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_gpu_num;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_gpu_num = (omp_get_thread_num());
{
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_gpu_num]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_gpu_num]);
}
{
{
{
__macc_init_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set);
{
}
{
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
__macc_adjust_data_region(wrk2_m, __macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set);
__macc_adjust_data_region(wrk2_m, __macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set);
}
(__macc_ptrs[0]) = wrk2_m;
(__macc_use_types[0]) = (1);
(__macc_use_lb_sets[0]) = __macc_wrk2_m_use_lb_set;
(__macc_use_ub_sets[0]) = __macc_wrk2_m_use_ub_set;
(__macc_def_types[0]) = (2);
(__macc_def_lb_sets[0]) = __macc_wrk2_m_def_lb_set;
(__macc_def_ub_sets[0]) = __macc_wrk2_m_def_ub_set;
}
{
{
__macc_init_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_a_m_def_lb_set, __macc_a_m_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((3) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
{
}
__macc_adjust_data_region(a_m, __macc_gpu_num, __macc_a_m_use_lb_set, __macc_a_m_use_ub_set);
__macc_adjust_data_region(a_m, __macc_gpu_num, __macc_a_m_def_lb_set, __macc_a_m_def_ub_set);
}
(__macc_ptrs[1]) = a_m;
(__macc_use_types[1]) = (2);
(__macc_use_lb_sets[1]) = __macc_a_m_use_lb_set;
(__macc_use_ub_sets[1]) = __macc_a_m_use_ub_set;
(__macc_def_types[1]) = (1);
(__macc_def_lb_sets[1]) = __macc_a_m_def_lb_set;
(__macc_def_ub_sets[1]) = __macc_a_m_def_ub_set;
}
{
{
__macc_init_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_b_m_def_lb_set, __macc_b_m_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
{
}
__macc_adjust_data_region(b_m, __macc_gpu_num, __macc_b_m_use_lb_set, __macc_b_m_use_ub_set);
__macc_adjust_data_region(b_m, __macc_gpu_num, __macc_b_m_def_lb_set, __macc_b_m_def_ub_set);
}
(__macc_ptrs[2]) = b_m;
(__macc_use_types[2]) = (2);
(__macc_use_lb_sets[2]) = __macc_b_m_use_lb_set;
(__macc_use_ub_sets[2]) = __macc_b_m_use_ub_set;
(__macc_def_types[2]) = (1);
(__macc_def_lb_sets[2]) = __macc_b_m_def_lb_set;
(__macc_def_ub_sets[2]) = __macc_b_m_def_ub_set;
}
{
{
__macc_init_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_bnd_m_def_lb_set, __macc_bnd_m_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
{
}
__macc_adjust_data_region(bnd_m, __macc_gpu_num, __macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set);
__macc_adjust_data_region(bnd_m, __macc_gpu_num, __macc_bnd_m_def_lb_set, __macc_bnd_m_def_ub_set);
}
(__macc_ptrs[3]) = bnd_m;
(__macc_use_types[3]) = (2);
(__macc_use_lb_sets[3]) = __macc_bnd_m_use_lb_set;
(__macc_use_ub_sets[3]) = __macc_bnd_m_use_ub_set;
(__macc_def_types[3]) = (1);
(__macc_def_lb_sets[3]) = __macc_bnd_m_def_lb_set;
(__macc_def_ub_sets[3]) = __macc_bnd_m_def_ub_set;
}
{
{
__macc_init_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_c_m_def_lb_set, __macc_c_m_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((2) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((1) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
{
}
__macc_adjust_data_region(c_m, __macc_gpu_num, __macc_c_m_use_lb_set, __macc_c_m_use_ub_set);
__macc_adjust_data_region(c_m, __macc_gpu_num, __macc_c_m_def_lb_set, __macc_c_m_def_ub_set);
}
(__macc_ptrs[4]) = c_m;
(__macc_use_types[4]) = (2);
(__macc_use_lb_sets[4]) = __macc_c_m_use_lb_set;
(__macc_use_ub_sets[4]) = __macc_c_m_use_ub_set;
(__macc_def_types[4]) = (1);
(__macc_def_lb_sets[4]) = __macc_c_m_def_lb_set;
(__macc_def_ub_sets[4]) = __macc_c_m_def_ub_set;
}
{
{
__macc_init_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub + (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_lb - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + (((__macc_top_loop_ub - (1)) * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) + (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((1) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + (((jmax - (1)) - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) + (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((1) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + ((kmax - (1)) - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
{
}
__macc_adjust_data_region(p_m, __macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set);
__macc_adjust_data_region(p_m, __macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set);
}
(__macc_ptrs[5]) = p_m;
(__macc_use_types[5]) = (2);
(__macc_use_lb_sets[5]) = __macc_p_m_use_lb_set;
(__macc_use_ub_sets[5]) = __macc_p_m_use_ub_set;
(__macc_def_types[5]) = (1);
(__macc_def_lb_sets[5]) = __macc_p_m_def_lb_set;
(__macc_def_ub_sets[5]) = __macc_p_m_def_ub_set;
}
{
{
__macc_init_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_wrk1_m_def_lb_set, __macc_wrk1_m_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
{
}
__macc_adjust_data_region(wrk1_m, __macc_gpu_num, __macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set);
__macc_adjust_data_region(wrk1_m, __macc_gpu_num, __macc_wrk1_m_def_lb_set, __macc_wrk1_m_def_ub_set);
}
(__macc_ptrs[6]) = wrk1_m;
(__macc_use_types[6]) = (2);
(__macc_use_lb_sets[6]) = __macc_wrk1_m_use_lb_set;
(__macc_use_ub_sets[6]) = __macc_wrk1_m_use_ub_set;
(__macc_def_types[6]) = (1);
(__macc_def_lb_sets[6]) = __macc_wrk1_m_def_lb_set;
(__macc_def_ub_sets[6]) = __macc_wrk1_m_def_ub_set;
}
}
}
if(__macc_region_is_overlapping(__macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set)) {
__macc_multi = (0);
{
__macc_rewrite_loop_region_into_single(__macc_i_loop_lb_set, __macc_i_loop_ub_set);
{
__macc_rewrite_data_region_into_single(__macc_wrk1_m_use_lb_set, __macc_wrk1_m_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_p_m_use_lb_set, __macc_p_m_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_c_m_use_lb_set, __macc_c_m_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_bnd_m_use_lb_set, __macc_bnd_m_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_b_m_use_lb_set, __macc_b_m_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_a_m_use_lb_set, __macc_a_m_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set);
}
}
}
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS ) reduction ( + : gosa ) private ( i , j , k )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
int __macc_num_gangs;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_tnum]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_tnum]);
__macc_set_data_region_multi(__macc_tnum, __macc_multi, 7, __macc_ptrs, __macc_use_types, __macc_use_lb_sets, __macc_use_ub_sets, __macc_def_types, __macc_def_lb_sets, __macc_def_ub_sets);
#pragma omp barrier
#pragma acc parallel present ( a_m , b_m , c_m , p_m , bnd_m , wrk1_m , wrk2_m ) vector_length ( 256 ) reduction ( + : gosa )
#pragma acc loop independent collapse ( 3 )
# 330 "/tmp/tmp.rutwVzhqmN/in.c"
for(i = __macc_top_loop_lb; i <= __macc_top_loop_ub; i++) {
{
# 331 "/tmp/tmp.rutwVzhqmN/in.c"
for(j = (1); j < jmax; j++) {
{
# 332 "/tmp/tmp.rutwVzhqmN/in.c"
for(k = (1); k < kmax; k++) {
{
# 333 "/tmp/tmp.rutwVzhqmN/in.c"
s0 = (((((((((((a_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i + (1)) * mcols) * mdeps)) + (j * mdeps)) + k)])) + ((a_m[(((((((1) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + ((j + (1)) * mdeps)) + k)]))) + ((a_m[(((((((2) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + (k + (1)))]))) + ((b_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * ((((p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i + (1)) * mcols) * mdeps)) + ((j + (1)) * mdeps)) + k)]) - (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i + (1)) * mcols) * mdeps)) + ((j - (1)) * mdeps)) + k)])) - (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i - (1)) * mcols) * mdeps)) + ((j + (1)) * mdeps)) + k)])) + (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i - (1)) * mcols) * mdeps)) + ((j - (1)) * mdeps)) + k)])))) + ((b_m[(((((((1) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * ((((p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + ((j + (1)) * mdeps)) + (k + (1)))]) - (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + ((j - (1)) * mdeps)) + (k + (1)))])) - (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + ((j + (1)) * mdeps)) + (k - (1)))])) + (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + ((j - (1)) * mdeps)) + (k - (1)))])))) + ((b_m[(((((((2) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * ((((p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i + (1)) * mcols) * mdeps)) + (j * mdeps)) + (k + (1)))]) - (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i - (1)) * mcols) * mdeps)) + (j * mdeps)) + (k + (1)))])) - (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i + (1)) * mcols) * mdeps)) + (j * mdeps)) + (k - (1)))])) + (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i - (1)) * mcols) * mdeps)) + (j * mdeps)) + (k - (1)))])))) + ((c_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * (p_m[(((((((0) * mrows) * mcols) * mdeps) + (((i - (1)) * mcols) * mdeps)) + (j * mdeps)) + k)]))) + ((c_m[(((((((1) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + ((j - (1)) * mdeps)) + k)]))) + ((c_m[(((((((2) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) * (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + (k - (1)))]))) + (wrk1_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]));
# 350 "/tmp/tmp.rutwVzhqmN/in.c"
ss = (((s0 * (a_m[(((((((3) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)])) - (p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)])) * (bnd_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]));
# 352 "/tmp/tmp.rutwVzhqmN/in.c"
gosa += (ss * ss);
# 353 "/tmp/tmp.rutwVzhqmN/in.c"
(wrk2_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) = ((p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) + (omega * ss));
}
}
}
}
}
}
}
}
}
{
static int __macc_region_is_changed = 1;
static int __macc_multi = 1;
static void * __macc_ptrs[2];
static int __macc_use_types[2];
static int * __macc_use_lb_sets[2];
static int * __macc_use_ub_sets[2];
static int __macc_def_types[2];
static int * __macc_def_lb_sets[2];
static int * __macc_def_ub_sets[2];
static int __macc_wrk2_m_def_ub_set[10];
static int __macc_wrk2_m_def_lb_set[10];
static int __macc_wrk2_m_use_ub_set[10];
static int __macc_wrk2_m_use_lb_set[10];
static int __macc_p_m_def_ub_set[10];
static int __macc_p_m_def_lb_set[10];
static int __macc_p_m_use_ub_set[10];
static int __macc_p_m_use_lb_set[10];
static int __macc_imax_last;
static unsigned long __macc_mrows_last;
static unsigned long __macc_mcols_last;
static unsigned long __macc_mdeps_last;
static int __macc_i_loop_lb_set[10];
static int __macc_i_loop_ub_set[10];
__macc_region_is_changed = (__macc_region_is_changed || ((mdeps != __macc_mdeps_last) || ((mcols != __macc_mcols_last) || ((mrows != __macc_mrows_last) || (imax != __macc_imax_last)))));
if(__macc_region_is_changed) {
__macc_multi = (1);
__macc_region_is_changed = (0);
{
__macc_mdeps_last = mdeps;
__macc_mcols_last = mcols;
__macc_mrows_last = mrows;
__macc_imax_last = imax;
}
{
__macc_calc_loop_region(__macc_i_loop_lb_set, __macc_i_loop_ub_set, 1, imax - (1), 1, 1);
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_gpu_num;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_gpu_num = (omp_get_thread_num());
{
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_gpu_num]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_gpu_num]);
}
{
{
{
__macc_init_access_region(__macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set);
{
}
{
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
__macc_adjust_data_region(p_m, __macc_gpu_num, __macc_p_m_use_lb_set, __macc_p_m_use_ub_set);
__macc_adjust_data_region(p_m, __macc_gpu_num, __macc_p_m_def_lb_set, __macc_p_m_def_ub_set);
}
(__macc_ptrs[0]) = p_m;
(__macc_use_types[0]) = (1);
(__macc_use_lb_sets[0]) = __macc_p_m_use_lb_set;
(__macc_use_ub_sets[0]) = __macc_p_m_use_ub_set;
(__macc_def_types[0]) = (2);
(__macc_def_lb_sets[0]) = __macc_p_m_def_lb_set;
(__macc_def_ub_sets[0]) = __macc_p_m_def_ub_set;
}
{
{
__macc_init_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set);
__macc_init_access_region(__macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set);
{
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_lb * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((1) * mdeps)) + (kmax - (1)));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (1));
__macc_update_access_region(__macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set, ((((((0) * mrows) * mcols) * mdeps) + ((__macc_top_loop_ub * mcols) * mdeps)) + ((jmax - (1)) * mdeps)) + (kmax - (1)));
}
{
}
__macc_adjust_data_region(wrk2_m, __macc_gpu_num, __macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set);
__macc_adjust_data_region(wrk2_m, __macc_gpu_num, __macc_wrk2_m_def_lb_set, __macc_wrk2_m_def_ub_set);
}
(__macc_ptrs[1]) = wrk2_m;
(__macc_use_types[1]) = (2);
(__macc_use_lb_sets[1]) = __macc_wrk2_m_use_lb_set;
(__macc_use_ub_sets[1]) = __macc_wrk2_m_use_ub_set;
(__macc_def_types[1]) = (1);
(__macc_def_lb_sets[1]) = __macc_wrk2_m_def_lb_set;
(__macc_def_ub_sets[1]) = __macc_wrk2_m_def_ub_set;
}
}
}
if(__macc_region_is_overlapping(__macc_p_m_def_lb_set, __macc_p_m_def_ub_set)) {
__macc_multi = (0);
{
__macc_rewrite_loop_region_into_single(__macc_i_loop_lb_set, __macc_i_loop_ub_set);
{
__macc_rewrite_data_region_into_single(__macc_wrk2_m_use_lb_set, __macc_wrk2_m_use_ub_set);
__macc_rewrite_data_region_into_single(__macc_p_m_def_lb_set, __macc_p_m_def_ub_set);
}
}
}
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS ) private ( i , j , k )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
int __macc_num_gangs;
int __macc_top_loop_lb;
int __macc_top_loop_ub;
__macc_top_loop_lb = (__macc_i_loop_lb_set[__macc_tnum]);
__macc_top_loop_ub = (__macc_i_loop_ub_set[__macc_tnum]);
__macc_set_data_region_multi(__macc_tnum, __macc_multi, 2, __macc_ptrs, __macc_use_types, __macc_use_lb_sets, __macc_use_ub_sets, __macc_def_types, __macc_def_lb_sets, __macc_def_ub_sets);
#pragma omp barrier
#pragma acc parallel present ( a_m , b_m , c_m , p_m , bnd_m , wrk1_m , wrk2_m ) vector_length ( 256 )
#pragma acc loop independent collapse ( 3 )
# 357 "/tmp/tmp.rutwVzhqmN/in.c"
for(i = __macc_top_loop_lb; i <= __macc_top_loop_ub; i++) {
{
# 358 "/tmp/tmp.rutwVzhqmN/in.c"
for(j = (1); j < jmax; j++) {
{
# 359 "/tmp/tmp.rutwVzhqmN/in.c"
for(k = (1); k < kmax; k++) {
{
# 360 "/tmp/tmp.rutwVzhqmN/in.c"
(p_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]) = (wrk2_m[(((((((0) * mrows) * mcols) * mdeps) + ((i * mcols) * mdeps)) + (j * mdeps)) + k)]);
}
}
}
}
}
}
}
}
}
}
}
#pragma omp parallel num_threads ( __MACC_NUMGPUS )
{
int __macc_tnum = omp_get_thread_num();
__macc_set_gpu_num(__macc_tnum);
{
}
}
}
# 364 "/tmp/tmp.rutwVzhqmN/in.c"
return gosa;
}
|
IF97_Region2.c | // Copyright Martin Lord 2014-2015.
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
// IAPWS-IF97 Region 2: Single phase vapour region equations
/* *********************************************************************
* ******* VALIDITY ************
*
* 273.15 K <= T <= 623.15 K 0 <= p <= Ps(T) (Eq 30 "Saturation Pressure basic Equation")
* 623.15 K <= T <= 863.15 K 0 <= p <= p(T) (Eq 5 "B23 Region 2 - 3 boundry equation")
* 863.15 K <= T <= 1073.15 K 0 <= p <= 100 MPa
*
* These functions also provide reasonable values for the metastable
* region above 10 MPa
*
* Note: for temperatures between 273.15 and 273.16 K, the part of the
* range of validity between the pressures on the saturation pressure
* line (Eq 30) and on the sublimation line corresponds to metastable
* states
* ****************************************************************** */
/* ********************************************************************
* COMPILE AND LINK INSTRUCTIONS (gcc) *
*
* This library uses math.h, so must have the -lm link flag
*
* The library is programmed to be able to use OpenMP multithreading
* use the -fopenmp complie flag to enable multithreadded code
*
* ****************************************************************** */
#include "IF97_common.h" //PSTAR TSTAR & sqr
#include "IF97_Region2.h"
#include "IF97_Region2bw.h"
#include <math.h> // for pow, log
/* #ifdef _OPENMP // multithreading via libgomp
# include <omp.h>
#endif
*/
#include <stdio.h> //used for debugging only
//***************************************************************
//****** REGION 2 GIBBS FREE ENERGY AND DERIVATIVES**************
// see Table 10
const typIF97Coeffs_Jn GIBBS_COEFFS_R2_O[] = {
{0, 0.0} //0 i starts at 1, so 0th i is not used
,{ 0 , -9.6927686500217 } // 1
,{ 1 , 10.086655968018 }
,{ -5 , -0.0056087911283 }
,{ -4 , 0.0714527380815 }
,{ -3 , -0.4071049822393 }
,{ -2 , 1.4240819171444 }
,{ -1 , -4.383951131945 }
,{ 2 , -0.2840863246077 }
,{ 3 , 0.0212684637533 } //9
};
const int MAX_GIBBS_COEFFS_R2_O = 9;
// ideal gas part of dimensionless gibbs free energy in Region2 : See Equation 16
// checked OK
double if97_r2_Gamma_o (double if97_pi, double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_O; i++) {
dblGammaSum += GIBBS_COEFFS_R2_O[i].ni * pow( if97_tau, GIBBS_COEFFS_R2_O[i].Ji);
}
return log(if97_pi) + dblGammaSum;
}
// See table 11
const typIF97Coeffs_IJn GIBBS_COEFFS_R2_R[] = {
{0, 0, 0.0} //0 i starts at 1, so 0th i is not used
,{1, 0, -1.7731742473213E-003}
,{1, 1, -1.7834862292358E-002}
,{1, 2, -4.5996013696365E-002}
,{1, 3, -5.7581259083432E-002}
,{1, 6, -5.0325278727930E-002}
,{2, 1, -3.3032641670203E-005}
,{2, 2, -1.8948987516315E-004}
,{2, 4, -3.9392777243355E-003}
,{2, 7, -4.3797295650573E-002}
,{2, 36, -2.6674547914087E-005}
,{3, 0, 2.0481737692309E-008}
,{3, 1, 4.3870667284435E-007}
,{3, 3, -3.2277677238570E-005}
,{3, 6, -1.5033924542148E-003}
,{3, 35, -4.0668253562649E-002}
,{4, 1, -7.8847309559367E-010}
,{4, 2, 1.2790717852285E-008}
,{4, 3, 4.8225372718507E-007}
,{5, 7, 2.2922076337661E-006}
,{6, 3, -1.6714766451061E-011}
,{6, 16, -2.1171472321355E-003}
,{6, 35, -2.3895741934104E+001}
,{7, 0, -5.9059564324270E-018}
,{7, 11, -1.2621808899101E-006}
,{7, 25, -3.8946842435739E-002}
,{8, 8, 1.1256211360459E-011}
,{8, 36, -8.2311340897998E+000}
,{9, 13, 1.9809712802088E-008}
,{10, 4, 1.0406965210174E-019}
,{10, 10, -1.0234747095929E-013}
,{10, 14, -1.0018179379511E-009}
,{16, 29, -8.0882908646985E-011}
,{16, 50, 1.0693031879409E-001}
,{18, 57, -3.3662250574171E-001}
,{20, 20, 8.9185845355421E-025}
,{20, 35, 3.0629316876232E-013}
,{20, 48, -4.2002467698208E-006}
,{21, 21, -5.9056029685639E-026}
,{22, 53, 3.7826947613457E-006}
,{23, 39, -1.2768608934681E-015}
,{24, 26, 7.3087610595061E-029}
,{24, 40, 5.5414715350778E-017}
,{24, 58, -9.4369707241210E-007} //43
};
const int MAX_GIBBS_COEFFS_R2_R = 43;
// residual part of dimensionless gibbs free energy in Region2 : See Equation 17
// Checked OK
double if97_r2_Gamma_r (double if97_pi, double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_R; i++) {
dblGammaSum += GIBBS_COEFFS_R2_R[i].ni * pow(if97_pi, GIBBS_COEFFS_R2_R[i].Ii)* pow((if97_tau - 0.5), GIBBS_COEFFS_R2_R[i].Ji) ;
}
return dblGammaSum;
}
// dimensionless gibbs free energy in Region 2 = g/RT: The fundamental equation of region 2. See Equation 15
double if97_r2_Gamma (double if97_pi, double if97_tau) {
return if97_r2_Gamma_o (if97_pi, if97_tau) + if97_r2_Gamma_r (if97_pi, if97_tau);
}
// [d gamma_o / d pi] keeping tau constant
double if97_r2_GammaPi_o (double if97_pi) {
double GammaPi_o = 1.0 / if97_pi;
return GammaPi_o;
}
// [d squared gamma_o / d pi squared] keeping tau constant
double if97_r2_GammaPiPi_o (double if97_pi) {
return -1.0 / sqr (if97_pi);
}
// [d gamma_o / d tau] keeping pi constant
// Checked OK
double if97_r2_GammaTau_o (double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_O; i++) {
dblGammaSum += GIBBS_COEFFS_R2_O[i].ni * GIBBS_COEFFS_R2_O[i].Ji * pow(if97_tau, ( GIBBS_COEFFS_R2_O[i].Ji - 1.0));
}
return dblGammaSum;
}
// [d squared gamma_o / d tau squared] keeping pi constant
double if97_r2_GammaTauTau_o (double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_O; i++) {
dblGammaSum += GIBBS_COEFFS_R2_O[i].ni * GIBBS_COEFFS_R2_O[i].Ji * ( GIBBS_COEFFS_R2_O[i].Ji - 1.0) * pow(if97_tau, ( GIBBS_COEFFS_R2_O[i].Ji - 2.0));
}
return dblGammaSum;
}
// [d squared gamma_o / d pi d tau]
const double if97_r2_GammaPiTau_o = 0.0;
// [d gamma_r / d pi] keeping tau constant
// Checked OK
double if97_r2_GammaPi_r (double if97_pi, double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_R; i++) {
dblGammaSum += GIBBS_COEFFS_R2_R[i].ni * GIBBS_COEFFS_R2_R[i].Ii
* pow( if97_pi, (GIBBS_COEFFS_R2_R[i].Ii - 1.0)) * pow((if97_tau - 0.5), GIBBS_COEFFS_R2_R[i].Ji);
}
return dblGammaSum;
}
// [d squared gamma_r / d pi squared] keeping tau constant
double if97_r2_GammaPiPi_r (double if97_pi, double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_R; i++) {
dblGammaSum += GIBBS_COEFFS_R2_R[i].ni * GIBBS_COEFFS_R2_R[i].Ii * (GIBBS_COEFFS_R2_R[i].Ii - 1.0)
* pow(if97_pi, (GIBBS_COEFFS_R2_R[i].Ii - 2.0)) * pow((if97_tau - 0.5), GIBBS_COEFFS_R2_R[i].Ji);
}
return dblGammaSum;
}
// [d gamma_r / d tau] keeping pi constant
// Checked OK
double if97_r2_GammaTau_r (double if97_pi, double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_R; i++) {
dblGammaSum += GIBBS_COEFFS_R2_R[i].ni * pow( if97_pi, GIBBS_COEFFS_R2_R[i].Ii)
* GIBBS_COEFFS_R2_R[i].Ji * pow((if97_tau - 0.5), (GIBBS_COEFFS_R2_R[i].Ji - 1.0));
}
return dblGammaSum;
}
// [d squared gamma_r / d tau squared] keeping pi constant
// Checked OK
double if97_r2_GammaTauTau_r (double if97_pi, double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_R; i++) {
dblGammaSum += GIBBS_COEFFS_R2_R[i].ni * pow( if97_pi, GIBBS_COEFFS_R2_R[i].Ii) * GIBBS_COEFFS_R2_R[i].Ji
* (GIBBS_COEFFS_R2_R[i].Ji - 1.0)*pow((if97_tau - 0.5), (GIBBS_COEFFS_R2_R[i].Ji - 2.0));
}
return dblGammaSum;
}
// [d squared gamma_r / d tau squared] keeping pi constant
double if97_r2_GammaPiTau_r (double if97_pi, double if97_tau) {
int i;
double dblGammaSum = 0.0;
#pragma omp parallel for reduction(+:dblGammaSum) //handle loop multithreaded
for (i=1; i <= MAX_GIBBS_COEFFS_R2_R; i++) {
dblGammaSum += GIBBS_COEFFS_R2_R[i].ni * GIBBS_COEFFS_R2_R[i].Ii * pow(if97_pi, (GIBBS_COEFFS_R2_R[i].Ii - 1.0))
* GIBBS_COEFFS_R2_R[i].Ji * pow((if97_tau - 0.5), ( GIBBS_COEFFS_R2_R[i].Ji - 1.0));
}
return dblGammaSum;
}
//**********************************************************
//********* REGION 2 PROPERTY EQUATIONS*********************
// specific Gibbs free energy in region 2 (kJ / kg)
double if97_r2_g (double p_MPa , double t_Kelvin) {
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2 / t_Kelvin;
return IF97_R * t_Kelvin * if97_r2_Gamma(if97pi, if97tau);
}
// specific volume in region 2 (metres cubed per kilogram)
// inputs need to convert to pure SI, hence the ´magic´ numbers
// Checked OK
double if97_r2_v (double p_MPa , double t_Kelvin ){
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2 / t_Kelvin;
return (IF97_R *1000 * t_Kelvin / (p_MPa * 1e6) ) * if97pi * ( if97_r2_GammaPi_o(if97pi) + if97_r2_GammaPi_r(if97pi, if97tau));
}
// specific internal energy in region 2 (KJ / Kg)
//Checked OK
double if97_r2_u (double p_MPa , double t_Kelvin ){
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2/t_Kelvin;
return (IF97_R* t_Kelvin ) * ((if97tau * (if97_r2_GammaTau_o(if97tau) + if97_r2_GammaTau_r(if97pi, if97tau)))
- (if97pi * (if97_r2_GammaPi_o(if97pi) + if97_r2_GammaPi_r(if97pi, if97tau)))
);
}
// specific entropy in region 2 (KJ / Kg.K)
// Checked OK
double if97_r2_s (double p_MPa , double t_Kelvin ){
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2/t_Kelvin;
return (IF97_R ) * (if97tau * (if97_r2_GammaTau_o(if97tau) + if97_r2_GammaTau_r(if97pi,if97tau)) - if97_r2_Gamma(if97pi, if97tau)) ;
}
// specific enthalpy in region 2 (KJ / Kg)
// Checked OK
double if97_r2_h (double p_MPa , double t_Kelvin ){
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2/t_Kelvin;
return IF97_R * t_Kelvin * if97tau * (if97_r2_GammaTau_o(if97tau) + if97_r2_GammaTau_r(if97pi, if97tau)) ;
}
// specific isobaric heat capacity in region 2 (KJ / Kg.K)
// Checked OK
double if97_r2_Cp (double p_MPa , double t_Kelvin ){
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2/t_Kelvin;
return (-IF97_R * sqr(if97tau) * (if97_r2_GammaTauTau_o(if97tau) + if97_r2_GammaTauTau_r(if97pi, if97tau))) ;
}
// specific isochoric heat capacity in region 2 (KJ / Kg.K)
double if97_r2_Cv (double p_MPa , double t_Kelvin ){
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2 / t_Kelvin;
return IF97_R * ((- sqr(if97tau) * (if97_r2_GammaTauTau_o(if97tau) + if97_r2_GammaTauTau_r(if97pi, if97tau))) - (
sqr ( 1.0 + if97pi * if97_r2_GammaPi_r(if97pi, if97tau) - if97tau * if97pi * if97_r2_GammaPiTau_r(if97pi, if97tau))
/ (1.0 - sqr(if97pi) * if97_r2_GammaPiPi_r (if97pi, if97tau)))
) ;
}
// speed of sound in region 2 (m/s)
// inputs need to convert to pure SI, hence the ´magic´ number 1000
double if97_r2_w (double p_MPa , double t_Kelvin ){
double if97pi = p_MPa / PSTAR_R2;
double if97tau = TSTAR_R2/t_Kelvin;
return sqrt( IF97_R * 1000 * t_Kelvin * ((1.0 + 2.0 * if97pi * if97_r2_GammaPi_r(if97pi, if97tau) + sqr(if97pi) * sqr(if97_r2_GammaPi_r(if97pi, if97tau))) /
((1.0 - sqr(if97pi) * if97_r2_GammaPiPi_r(if97pi, if97tau)) +
( sqr ( 1.0 + if97pi * if97_r2_GammaPi_r(if97pi, if97tau) - if97tau * if97pi * if97_r2_GammaPiTau_r(if97pi, if97tau)) /
( sqr(if97tau) * (if97_r2_GammaTauTau_o(if97tau) + if97_r2_GammaTauTau_r(if97pi, if97tau)))
)
)
)
);
}
|
GB_binop__iseq_fp32.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__iseq_fp32)
// A.*B function (eWiseMult): GB (_AemultB_08__iseq_fp32)
// A.*B function (eWiseMult): GB (_AemultB_02__iseq_fp32)
// A.*B function (eWiseMult): GB (_AemultB_04__iseq_fp32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__iseq_fp32)
// A*D function (colscale): GB (_AxD__iseq_fp32)
// D*A function (rowscale): GB (_DxB__iseq_fp32)
// C+=B function (dense accum): GB (_Cdense_accumB__iseq_fp32)
// C+=b function (dense accum): GB (_Cdense_accumb__iseq_fp32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__iseq_fp32)
// C=scalar+B GB (_bind1st__iseq_fp32)
// C=scalar+B' GB (_bind1st_tran__iseq_fp32)
// C=A+scalar GB (_bind2nd__iseq_fp32)
// C=A'+scalar GB (_bind2nd_tran__iseq_fp32)
// C type: float
// A type: float
// A pattern? 0
// B type: float
// B pattern? 0
// BinaryOp: cij = (aij == bij)
#define GB_ATYPE \
float
#define GB_BTYPE \
float
#define GB_CTYPE \
float
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
float aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
float bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
float 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_ISEQ || GxB_NO_FP32 || GxB_NO_ISEQ_FP32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__iseq_fp32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__iseq_fp32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__iseq_fp32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type float
float bwork = (*((float *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__iseq_fp32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
float *restrict Cx = (float *) 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__iseq_fp32)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
float *restrict Cx = (float *) 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__iseq_fp32)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
float alpha_scalar ;
float beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((float *) alpha_scalar_in)) ;
beta_scalar = (*((float *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__iseq_fp32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__iseq_fp32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__iseq_fp32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__iseq_fp32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__iseq_fp32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
float *Cx = (float *) Cx_output ;
float x = (*((float *) x_input)) ;
float *Bx = (float *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
float bij = GBX (Bx, p, false) ;
Cx [p] = (x == bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__iseq_fp32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
float *Cx = (float *) Cx_output ;
float *Ax = (float *) Ax_input ;
float y = (*((float *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
float aij = GBX (Ax, p, false) ;
Cx [p] = (aij == y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
float aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x == aij) ; \
}
GrB_Info GB (_bind1st_tran__iseq_fp32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
float
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
float x = (*((const float *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
float
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
float aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij == y) ; \
}
GrB_Info GB (_bind2nd_tran__iseq_fp32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
float y = (*((const float *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
openmp_utils.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ \.
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Riccardo Rossi
//
#ifndef KRATOS_OPENMP_UTILS_H
#define KRATOS_OPENMP_UTILS_H
#include <stdio.h>
#include <vector>
#include <iostream>
#ifdef KRATOS_SMP_OPENMP
#include <omp.h>
#else
#include <ctime>
#endif
#include "parallel_utilities.h"
namespace Kratos
{
///@addtogroup KratosCore
///@{
///@name Kratos Classes
///@{
/// Implements basic tasks for OpenMP parallelism and suitable scalar alternatives
/**
This class defines utility functions that implement some basic OpenMP
capabilities and an equivalent scalar alternative to use in compilations
where OpenMP is not enabled. The idea is to allow Kratos developers to
design their code in parallel, knowing that it will work in scalar runs
as well.
*/
class OpenMPUtils
{
public:
///@name Type definitions
///@{
/// Vector type for the output of DivideInPartitions method
/**
* @see OpenMPUtils::DivideInPartitions
*/
typedef std::vector<int> PartitionVector;
///@}
///@name Operations
///@{
/// Wrapper for omp_get_max_threads().
/**
@return Maximum number of OpenMP threads that will be used in
parallel regions.
*/
KRATOS_DEPRECATED_MESSAGE("This is legacy version, please use the \"ParallelUtilities\" instead") static inline int GetNumThreads()
{
return ParallelUtilities::GetNumThreads();
}
/// Wrapper for omp_get_num_threads().
/**
@return Number of OpenMP threads in the current team.
*/
static int GetCurrentNumberOfThreads()
{
#ifdef _OPENMP
return omp_get_num_threads();
#else
return 1;
#endif
}
/// Wrapper for omp_get_num_procs().
/**
@return Number of processors available to the device.
*/
KRATOS_DEPRECATED_MESSAGE("This is legacy version, please use the \"ParallelUtilities\" instead") static int GetNumberOfProcessors()
{
return ParallelUtilities::GetNumProcs();
}
/// Wrapper for omp_get_dynamic().
/**
@return Dynamic teams are enabled.
*/
static int IsDynamic()
{
#ifdef _OPENMP
return omp_get_dynamic();
#else
return 0;
#endif
}
/// Wrapper for omp_get_thread_num().
/**
@return The thread number for this thread, 0 if scalar run.
*/
static inline int ThisThread()
{
#ifdef _OPENMP
return omp_get_thread_num();
#else
return 0;
#endif
}
/// Wrapper for omp_in_parallel().
/**
@return Maximum number of OpenMP threads that will be used in
parallel regions.
*/
static inline int IsInParallel()
{
#ifdef _OPENMP
return omp_in_parallel();
#else
return 0;
#endif
}
/// Timing routine.
/**
Determine the current time by calling an appropiate
(scalar or parallel) timer class.
@return Current time
*/
KRATOS_DEPRECATED_MESSAGE("This is legacy version, please use the \"utilities/builtin_timer.h\" instead") static double GetCurrentTime()
{
#ifndef _OPENMP
return std::clock()/static_cast<double>(CLOCKS_PER_SEC);
#else
return omp_get_wtime();
#endif
}
/// Divide an array of length NumTerms between NumThreads threads.
/**
Creates a std::vector containing NumThreads + 1 terms, where term k
is the first and position of the array that corresponds to thread k.
The k+1 term is the end of the array, so that the vector can be used
to iterate the array between 'k' and 'k+1' in each thread.
@param NumTerms Number of objects to be divided between the threads.
@param NumThreads The number of parallel threads that will be used.
@param Partitions This object will contain the begin and end positions
for each thread.
*/
static inline void DivideInPartitions(
const int NumTerms,
const int NumThreads,
PartitionVector& Partitions)
{
Partitions.resize(NumThreads + 1);
int PartitionSize = NumTerms / NumThreads;
Partitions[0] = 0;
Partitions[NumThreads] = NumTerms;
for(int i = 1; i < NumThreads; i++)
Partitions[i] = Partitions[i-1] + PartitionSize ;
}
/// Generate a partition for an std::vector-like array, providing iterators to the begin and end positions for each thread.
/** This function assumes that the vector class will have an iterator type and implement begin(), end() and size() methods.
* @param rVector An arary containing the elements to be distributed between the threads.
* @param rBegin Iterator pointing to the first element in rVector to be used in the current thread.
* @param rEnd Iterator pointing to the end position for the current thread in rVector.
*/
template< class TVector >
static void PartitionedIterators(TVector& rVector,
typename TVector::iterator& rBegin,
typename TVector::iterator& rEnd)
{
#ifdef _OPENMP
int NumTerms = rVector.size();
int ThreadNum = omp_get_thread_num();
int NumThreads = omp_get_max_threads();
int PartitionSize = NumTerms / NumThreads;
// Set Partition start
rBegin = rVector.begin() + ThreadNum * PartitionSize;
// Partition ends after 'PartitionSize' terms, except if this is the last partition
if ( (ThreadNum + 1) != NumThreads )
rEnd = rBegin + PartitionSize;
else
rEnd = rVector.end();
#else
rBegin = rVector.begin();
rEnd = rVector.end();
#endif
}
/// A function to set the number of threads from Python.
/**
This is an auxiliary mainly intended for test purposes, to help with the
detection of race conditions.
@param NumThreads Number of threads to use in parallel regions. Note
that values greater than the environment variable OMP_NUM_THREADS
will be ignored.
*/
KRATOS_DEPRECATED_MESSAGE("This is legacy version, please use the \"ParallelUtilities\" instead") static inline void SetNumThreads(int NumThreads = 1)
{
ParallelUtilities::SetNumThreads(NumThreads);
}
/**
A method to print the OMP information
*/
static inline void PrintOMPInfo()
{
#ifdef _OPENMP
int nthreads,tid, procs, maxt, inpar, dynamic, nested;
/* Start parallel region */
#pragma omp parallel private(nthreads, tid)
{
/* Obtain thread number */
tid = omp_get_thread_num();
/* Only master thread does this */
if (tid == 0)
{
printf(" Thread %d getting environment info...\n", tid);
/* Get environment information */
procs = omp_get_num_procs();
nthreads = omp_get_num_threads();
maxt = omp_get_max_threads();
inpar = omp_in_parallel();
//omp_set_dynamic(true);
dynamic = omp_get_dynamic();
//omp_set_nested(true);
nested = omp_get_nested();
/* Print environment information */
printf( " | ------------ OMP IN USE --------- |\n");
printf( " | Machine number of processors = %d |\n", procs);
printf( " | Number of threads set = %d |\n", nthreads);
printf( " | Max threads in use = %d |\n", maxt);
printf( " | In parallel? = %d |\n", inpar);
printf( " | Dynamic threads enabled? = %d |\n", dynamic);
printf( " | Nested parallelism supported? = %d |\n", nested);
printf( " | --------------------------------- |\n");
if( procs < nthreads )
std::cout<<" ( WARNING: Maximimun number of threads is EXCEEDED )"<<std::endl;
}
}
#endif
}
template<class T>
static inline void CreatePartition(unsigned int number_of_threads, const int number_of_rows, T& partitions)
{
partitions.resize(number_of_threads+1);
int partition_size = number_of_rows / number_of_threads;
partitions[0] = 0;
partitions[number_of_threads] = number_of_rows;
for(unsigned int i = 1; i<number_of_threads; i++)
partitions[i] = partitions[i-1] + partition_size ;
}
///@} //Operations
};
///@} //Kratos classes
///@} addtogroup block
}
#endif /* KRATOS_OPENMP_UTILS_H */
|
omp_section_firstprivate.c | <ompts:test>
<ompts:testdescription>Test which checks the omp section firstprivate directive by adding a variable which is defined before the parallel region.</ompts:testdescription>
<ompts:ompversion>2.0</ompts:ompversion>
<ompts:directive>omp firstprivate</ompts:directive>
<ompts:testcode>
#include <stdio.h>
#include "omp_testsuite.h"
int <ompts:testcode:functionname>omp_section_firstprivate</ompts:testcode:functionname>(FILE * logFile){
<ompts:orphan:vars>
int sum;
int sum0;
</ompts:orphan:vars>
int known_sum;
sum0 = 11;
sum = 7;
#pragma omp parallel
{
<ompts:orphan>
#pragma omp sections <ompts:check>firstprivate(sum0)</ompts:check><ompts:crosscheck>private(sum0)</ompts:crosscheck>
{
#pragma omp section
{
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
#pragma omp section
{
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
#pragma omp section
{
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
} /*end of sections*/
</ompts:orphan>
} /* end of parallel */
known_sum = 11 * 3 + 7;
return (known_sum == sum);
} /* end of check_section_firstprivate*/
</ompts:testcode>
</ompts:test>
|
Sema.h | //===--- Sema.h - Semantic Analysis & AST Building --------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Sema class, which performs semantic analysis and
// builds ASTs.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_SEMA_SEMA_H
#define LLVM_CLANG_SEMA_SEMA_H
#include "clang/AST/Attr.h"
#include "clang/AST/Availability.h"
#include "clang/AST/ComparisonCategories.h"
#include "clang/AST/DeclTemplate.h"
#include "clang/AST/DeclarationName.h"
#include "clang/AST/Expr.h"
#include "clang/AST/ExprCXX.h"
#include "clang/AST/ExprObjC.h"
#include "clang/AST/ExternalASTSource.h"
#include "clang/AST/LocInfoType.h"
#include "clang/AST/MangleNumberingContext.h"
#include "clang/AST/NSAPI.h"
#include "clang/AST/PrettyPrinter.h"
#include "clang/AST/StmtCXX.h"
#include "clang/AST/TypeLoc.h"
#include "clang/AST/TypeOrdering.h"
#include "clang/Basic/ExpressionTraits.h"
#include "clang/Basic/Module.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/PragmaKinds.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Basic/TemplateKinds.h"
#include "clang/Basic/TypeTraits.h"
#include "clang/Sema/AnalysisBasedWarnings.h"
#include "clang/Sema/CleanupInfo.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/ExternalSemaSource.h"
#include "clang/Sema/IdentifierResolver.h"
#include "clang/Sema/ObjCMethodList.h"
#include "clang/Sema/Ownership.h"
#include "clang/Sema/Scope.h"
#include "clang/Sema/TypoCorrection.h"
#include "clang/Sema/Weak.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/SmallBitVector.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/TinyPtrVector.h"
#include <deque>
#include <memory>
#include <string>
#include <vector>
namespace llvm {
class APSInt;
template <typename ValueT> struct DenseMapInfo;
template <typename ValueT, typename ValueInfoT> class DenseSet;
class SmallBitVector;
struct InlineAsmIdentifierInfo;
}
namespace clang {
class ADLResult;
class ASTConsumer;
class ASTContext;
class ASTMutationListener;
class ASTReader;
class ASTWriter;
class ArrayType;
class ParsedAttr;
class BindingDecl;
class BlockDecl;
class CapturedDecl;
class CXXBasePath;
class CXXBasePaths;
class CXXBindTemporaryExpr;
typedef SmallVector<CXXBaseSpecifier*, 4> CXXCastPath;
class CXXConstructorDecl;
class CXXConversionDecl;
class CXXDeleteExpr;
class CXXDestructorDecl;
class CXXFieldCollector;
class CXXMemberCallExpr;
class CXXMethodDecl;
class CXXScopeSpec;
class CXXTemporary;
class CXXTryStmt;
class CallExpr;
class ClassTemplateDecl;
class ClassTemplatePartialSpecializationDecl;
class ClassTemplateSpecializationDecl;
class VarTemplatePartialSpecializationDecl;
class CodeCompleteConsumer;
class CodeCompletionAllocator;
class CodeCompletionTUInfo;
class CodeCompletionResult;
class CoroutineBodyStmt;
class Decl;
class DeclAccessPair;
class DeclContext;
class DeclRefExpr;
class DeclaratorDecl;
class DeducedTemplateArgument;
class DependentDiagnostic;
class DesignatedInitExpr;
class Designation;
class EnableIfAttr;
class EnumConstantDecl;
class Expr;
class ExtVectorType;
class FormatAttr;
class FriendDecl;
class FunctionDecl;
class FunctionProtoType;
class FunctionTemplateDecl;
class ImplicitConversionSequence;
typedef MutableArrayRef<ImplicitConversionSequence> ConversionSequenceList;
class InitListExpr;
class InitializationKind;
class InitializationSequence;
class InitializedEntity;
class IntegerLiteral;
class LabelStmt;
class LambdaExpr;
class LangOptions;
class LocalInstantiationScope;
class LookupResult;
class MacroInfo;
typedef ArrayRef<std::pair<IdentifierInfo *, SourceLocation>> ModuleIdPath;
class ModuleLoader;
class MultiLevelTemplateArgumentList;
class NamedDecl;
class ObjCCategoryDecl;
class ObjCCategoryImplDecl;
class ObjCCompatibleAliasDecl;
class ObjCContainerDecl;
class ObjCImplDecl;
class ObjCImplementationDecl;
class ObjCInterfaceDecl;
class ObjCIvarDecl;
template <class T> class ObjCList;
class ObjCMessageExpr;
class ObjCMethodDecl;
class ObjCPropertyDecl;
class ObjCProtocolDecl;
class OMPThreadPrivateDecl;
class OMPRequiresDecl;
class OMPDeclareReductionDecl;
class OMPDeclareSimdDecl;
class OMPClause;
struct OverloadCandidate;
class OverloadCandidateSet;
class OverloadExpr;
class ParenListExpr;
class ParmVarDecl;
class Preprocessor;
class PseudoDestructorTypeStorage;
class PseudoObjectExpr;
class QualType;
class StandardConversionSequence;
class Stmt;
class StringLiteral;
class SwitchStmt;
class TemplateArgument;
class TemplateArgumentList;
class TemplateArgumentLoc;
class TemplateDecl;
class TemplateInstantiationCallback;
class TemplateParameterList;
class TemplatePartialOrderingContext;
class TemplateTemplateParmDecl;
class Token;
class TypeAliasDecl;
class TypedefDecl;
class TypedefNameDecl;
class TypeLoc;
class TypoCorrectionConsumer;
class UnqualifiedId;
class UnresolvedLookupExpr;
class UnresolvedMemberExpr;
class UnresolvedSetImpl;
class UnresolvedSetIterator;
class UsingDecl;
class UsingShadowDecl;
class ValueDecl;
class VarDecl;
class VarTemplateSpecializationDecl;
class VisibilityAttr;
class VisibleDeclConsumer;
class IndirectFieldDecl;
struct DeductionFailureInfo;
class TemplateSpecCandidateSet;
namespace sema {
class AccessedEntity;
class BlockScopeInfo;
class Capture;
class CapturedRegionScopeInfo;
class CapturingScopeInfo;
class CompoundScopeInfo;
class DelayedDiagnostic;
class DelayedDiagnosticPool;
class FunctionScopeInfo;
class LambdaScopeInfo;
class PossiblyUnreachableDiag;
class SemaPPCallbacks;
class TemplateDeductionInfo;
}
namespace threadSafety {
class BeforeSet;
void threadSafetyCleanup(BeforeSet* Cache);
}
// FIXME: No way to easily map from TemplateTypeParmTypes to
// TemplateTypeParmDecls, so we have this horrible PointerUnion.
typedef std::pair<llvm::PointerUnion<const TemplateTypeParmType*, NamedDecl*>,
SourceLocation> UnexpandedParameterPack;
/// Describes whether we've seen any nullability information for the given
/// file.
struct FileNullability {
/// The first pointer declarator (of any pointer kind) in the file that does
/// not have a corresponding nullability annotation.
SourceLocation PointerLoc;
/// The end location for the first pointer declarator in the file. Used for
/// placing fix-its.
SourceLocation PointerEndLoc;
/// Which kind of pointer declarator we saw.
uint8_t PointerKind;
/// Whether we saw any type nullability annotations in the given file.
bool SawTypeNullability = false;
};
/// A mapping from file IDs to a record of whether we've seen nullability
/// information in that file.
class FileNullabilityMap {
/// A mapping from file IDs to the nullability information for each file ID.
llvm::DenseMap<FileID, FileNullability> Map;
/// A single-element cache based on the file ID.
struct {
FileID File;
FileNullability Nullability;
} Cache;
public:
FileNullability &operator[](FileID file) {
// Check the single-element cache.
if (file == Cache.File)
return Cache.Nullability;
// It's not in the single-element cache; flush the cache if we have one.
if (!Cache.File.isInvalid()) {
Map[Cache.File] = Cache.Nullability;
}
// Pull this entry into the cache.
Cache.File = file;
Cache.Nullability = Map[file];
return Cache.Nullability;
}
};
/// Keeps track of expected type during expression parsing. The type is tied to
/// a particular token, all functions that update or consume the type take a
/// start location of the token they are looking at as a parameter. This allows
/// to avoid updating the type on hot paths in the parser.
class PreferredTypeBuilder {
public:
PreferredTypeBuilder() = default;
explicit PreferredTypeBuilder(QualType Type) : Type(Type) {}
void enterCondition(Sema &S, SourceLocation Tok);
void enterReturn(Sema &S, SourceLocation Tok);
void enterVariableInit(SourceLocation Tok, Decl *D);
void enterParenExpr(SourceLocation Tok, SourceLocation LParLoc);
void enterUnary(Sema &S, SourceLocation Tok, tok::TokenKind OpKind,
SourceLocation OpLoc);
void enterBinary(Sema &S, SourceLocation Tok, Expr *LHS, tok::TokenKind Op);
void enterMemAccess(Sema &S, SourceLocation Tok, Expr *Base);
void enterSubscript(Sema &S, SourceLocation Tok, Expr *LHS);
/// Handles all type casts, including C-style cast, C++ casts, etc.
void enterTypeCast(SourceLocation Tok, QualType CastType);
QualType get(SourceLocation Tok) const {
if (Tok == ExpectedLoc)
return Type;
return QualType();
}
private:
/// Start position of a token for which we store expected type.
SourceLocation ExpectedLoc;
/// Expected type for a token starting at ExpectedLoc.
QualType Type;
};
/// Sema - This implements semantic analysis and AST building for C.
class Sema {
Sema(const Sema &) = delete;
void operator=(const Sema &) = delete;
///Source of additional semantic information.
ExternalSemaSource *ExternalSource;
///Whether Sema has generated a multiplexer and has to delete it.
bool isMultiplexExternalSource;
static bool mightHaveNonExternalLinkage(const DeclaratorDecl *FD);
bool isVisibleSlow(const NamedDecl *D);
/// Determine whether two declarations should be linked together, given that
/// the old declaration might not be visible and the new declaration might
/// not have external linkage.
bool shouldLinkPossiblyHiddenDecl(const NamedDecl *Old,
const NamedDecl *New) {
if (isVisible(Old))
return true;
// See comment in below overload for why it's safe to compute the linkage
// of the new declaration here.
if (New->isExternallyDeclarable()) {
assert(Old->isExternallyDeclarable() &&
"should not have found a non-externally-declarable previous decl");
return true;
}
return false;
}
bool shouldLinkPossiblyHiddenDecl(LookupResult &Old, const NamedDecl *New);
void setupImplicitSpecialMemberType(CXXMethodDecl *SpecialMem,
QualType ResultTy,
ArrayRef<QualType> Args);
public:
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef OpaquePtr<QualType> TypeTy;
OpenCLOptions OpenCLFeatures;
FPOptions FPFeatures;
const LangOptions &LangOpts;
Preprocessor &PP;
ASTContext &Context;
ASTConsumer &Consumer;
DiagnosticsEngine &Diags;
SourceManager &SourceMgr;
/// Flag indicating whether or not to collect detailed statistics.
bool CollectStats;
/// Code-completion consumer.
CodeCompleteConsumer *CodeCompleter;
/// CurContext - This is the current declaration context of parsing.
DeclContext *CurContext;
/// Generally null except when we temporarily switch decl contexts,
/// like in \see ActOnObjCTemporaryExitContainerContext.
DeclContext *OriginalLexicalContext;
/// VAListTagName - The declaration name corresponding to __va_list_tag.
/// This is used as part of a hack to omit that class from ADL results.
DeclarationName VAListTagName;
bool MSStructPragmaOn; // True when \#pragma ms_struct on
/// Controls member pointer representation format under the MS ABI.
LangOptions::PragmaMSPointersToMembersKind
MSPointerToMemberRepresentationMethod;
/// Stack of active SEH __finally scopes. Can be empty.
SmallVector<Scope*, 2> CurrentSEHFinally;
/// Source location for newly created implicit MSInheritanceAttrs
SourceLocation ImplicitMSInheritanceAttrLoc;
/// pragma clang section kind
enum PragmaClangSectionKind {
PCSK_Invalid = 0,
PCSK_BSS = 1,
PCSK_Data = 2,
PCSK_Rodata = 3,
PCSK_Text = 4
};
enum PragmaClangSectionAction {
PCSA_Set = 0,
PCSA_Clear = 1
};
struct PragmaClangSection {
std::string SectionName;
bool Valid = false;
SourceLocation PragmaLocation;
void Act(SourceLocation PragmaLocation,
PragmaClangSectionAction Action,
StringLiteral* Name);
};
PragmaClangSection PragmaClangBSSSection;
PragmaClangSection PragmaClangDataSection;
PragmaClangSection PragmaClangRodataSection;
PragmaClangSection PragmaClangTextSection;
enum PragmaMsStackAction {
PSK_Reset = 0x0, // #pragma ()
PSK_Set = 0x1, // #pragma (value)
PSK_Push = 0x2, // #pragma (push[, id])
PSK_Pop = 0x4, // #pragma (pop[, id])
PSK_Show = 0x8, // #pragma (show) -- only for "pack"!
PSK_Push_Set = PSK_Push | PSK_Set, // #pragma (push[, id], value)
PSK_Pop_Set = PSK_Pop | PSK_Set, // #pragma (pop[, id], value)
};
template<typename ValueType>
struct PragmaStack {
struct Slot {
llvm::StringRef StackSlotLabel;
ValueType Value;
SourceLocation PragmaLocation;
SourceLocation PragmaPushLocation;
Slot(llvm::StringRef StackSlotLabel, ValueType Value,
SourceLocation PragmaLocation, SourceLocation PragmaPushLocation)
: StackSlotLabel(StackSlotLabel), Value(Value),
PragmaLocation(PragmaLocation),
PragmaPushLocation(PragmaPushLocation) {}
};
void Act(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
ValueType Value);
// MSVC seems to add artificial slots to #pragma stacks on entering a C++
// method body to restore the stacks on exit, so it works like this:
//
// struct S {
// #pragma <name>(push, InternalPragmaSlot, <current_pragma_value>)
// void Method {}
// #pragma <name>(pop, InternalPragmaSlot)
// };
//
// It works even with #pragma vtordisp, although MSVC doesn't support
// #pragma vtordisp(push [, id], n)
// syntax.
//
// Push / pop a named sentinel slot.
void SentinelAction(PragmaMsStackAction Action, StringRef Label) {
assert((Action == PSK_Push || Action == PSK_Pop) &&
"Can only push / pop #pragma stack sentinels!");
Act(CurrentPragmaLocation, Action, Label, CurrentValue);
}
// Constructors.
explicit PragmaStack(const ValueType &Default)
: DefaultValue(Default), CurrentValue(Default) {}
bool hasValue() const { return CurrentValue != DefaultValue; }
SmallVector<Slot, 2> Stack;
ValueType DefaultValue; // Value used for PSK_Reset action.
ValueType CurrentValue;
SourceLocation CurrentPragmaLocation;
};
// FIXME: We should serialize / deserialize these if they occur in a PCH (but
// we shouldn't do so if they're in a module).
/// Whether to insert vtordisps prior to virtual bases in the Microsoft
/// C++ ABI. Possible values are 0, 1, and 2, which mean:
///
/// 0: Suppress all vtordisps
/// 1: Insert vtordisps in the presence of vbase overrides and non-trivial
/// structors
/// 2: Always insert vtordisps to support RTTI on partially constructed
/// objects
PragmaStack<MSVtorDispAttr::Mode> VtorDispStack;
// #pragma pack.
// Sentinel to represent when the stack is set to mac68k alignment.
static const unsigned kMac68kAlignmentSentinel = ~0U;
PragmaStack<unsigned> PackStack;
// The current #pragma pack values and locations at each #include.
struct PackIncludeState {
unsigned CurrentValue;
SourceLocation CurrentPragmaLocation;
bool HasNonDefaultValue, ShouldWarnOnInclude;
};
SmallVector<PackIncludeState, 8> PackIncludeStack;
// Segment #pragmas.
PragmaStack<StringLiteral *> DataSegStack;
PragmaStack<StringLiteral *> BSSSegStack;
PragmaStack<StringLiteral *> ConstSegStack;
PragmaStack<StringLiteral *> CodeSegStack;
// RAII object to push / pop sentinel slots for all MS #pragma stacks.
// Actions should be performed only if we enter / exit a C++ method body.
class PragmaStackSentinelRAII {
public:
PragmaStackSentinelRAII(Sema &S, StringRef SlotLabel, bool ShouldAct);
~PragmaStackSentinelRAII();
private:
Sema &S;
StringRef SlotLabel;
bool ShouldAct;
};
/// A mapping that describes the nullability we've seen in each header file.
FileNullabilityMap NullabilityMap;
/// Last section used with #pragma init_seg.
StringLiteral *CurInitSeg;
SourceLocation CurInitSegLoc;
/// VisContext - Manages the stack for \#pragma GCC visibility.
void *VisContext; // Really a "PragmaVisStack*"
/// This an attribute introduced by \#pragma clang attribute.
struct PragmaAttributeEntry {
SourceLocation Loc;
ParsedAttr *Attribute;
SmallVector<attr::SubjectMatchRule, 4> MatchRules;
bool IsUsed;
};
/// A push'd group of PragmaAttributeEntries.
struct PragmaAttributeGroup {
/// The location of the push attribute.
SourceLocation Loc;
/// The namespace of this push group.
const IdentifierInfo *Namespace;
SmallVector<PragmaAttributeEntry, 2> Entries;
};
SmallVector<PragmaAttributeGroup, 2> PragmaAttributeStack;
/// The declaration that is currently receiving an attribute from the
/// #pragma attribute stack.
const Decl *PragmaAttributeCurrentTargetDecl;
/// This represents the last location of a "#pragma clang optimize off"
/// directive if such a directive has not been closed by an "on" yet. If
/// optimizations are currently "on", this is set to an invalid location.
SourceLocation OptimizeOffPragmaLocation;
/// Flag indicating if Sema is building a recovery call expression.
///
/// This flag is used to avoid building recovery call expressions
/// if Sema is already doing so, which would cause infinite recursions.
bool IsBuildingRecoveryCallExpr;
/// Used to control the generation of ExprWithCleanups.
CleanupInfo Cleanup;
/// ExprCleanupObjects - This is the stack of objects requiring
/// cleanup that are created by the current full expression. The
/// element type here is ExprWithCleanups::Object.
SmallVector<BlockDecl*, 8> ExprCleanupObjects;
/// Store a list of either DeclRefExprs or MemberExprs
/// that contain a reference to a variable (constant) that may or may not
/// be odr-used in this Expr, and we won't know until all lvalue-to-rvalue
/// and discarded value conversions have been applied to all subexpressions
/// of the enclosing full expression. This is cleared at the end of each
/// full expression.
llvm::SmallPtrSet<Expr*, 2> MaybeODRUseExprs;
std::unique_ptr<sema::FunctionScopeInfo> PreallocatedFunctionScope;
/// Stack containing information about each of the nested
/// function, block, and method scopes that are currently active.
SmallVector<sema::FunctionScopeInfo *, 4> FunctionScopes;
typedef LazyVector<TypedefNameDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadExtVectorDecls, 2, 2>
ExtVectorDeclsType;
/// ExtVectorDecls - This is a list all the extended vector types. This allows
/// us to associate a raw vector type with one of the ext_vector type names.
/// This is only necessary for issuing pretty diagnostics.
ExtVectorDeclsType ExtVectorDecls;
/// FieldCollector - Collects CXXFieldDecls during parsing of C++ classes.
std::unique_ptr<CXXFieldCollector> FieldCollector;
typedef llvm::SmallSetVector<NamedDecl *, 16> NamedDeclSetType;
/// Set containing all declared private fields that are not used.
NamedDeclSetType UnusedPrivateFields;
/// Set containing all typedefs that are likely unused.
llvm::SmallSetVector<const TypedefNameDecl *, 4>
UnusedLocalTypedefNameCandidates;
/// Delete-expressions to be analyzed at the end of translation unit
///
/// This list contains class members, and locations of delete-expressions
/// that could not be proven as to whether they mismatch with new-expression
/// used in initializer of the field.
typedef std::pair<SourceLocation, bool> DeleteExprLoc;
typedef llvm::SmallVector<DeleteExprLoc, 4> DeleteLocs;
llvm::MapVector<FieldDecl *, DeleteLocs> DeleteExprs;
typedef llvm::SmallPtrSet<const CXXRecordDecl*, 8> RecordDeclSetTy;
/// PureVirtualClassDiagSet - a set of class declarations which we have
/// emitted a list of pure virtual functions. Used to prevent emitting the
/// same list more than once.
std::unique_ptr<RecordDeclSetTy> PureVirtualClassDiagSet;
/// ParsingInitForAutoVars - a set of declarations with auto types for which
/// we are currently parsing the initializer.
llvm::SmallPtrSet<const Decl*, 4> ParsingInitForAutoVars;
/// Look for a locally scoped extern "C" declaration by the given name.
NamedDecl *findLocallyScopedExternCDecl(DeclarationName Name);
typedef LazyVector<VarDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadTentativeDefinitions, 2, 2>
TentativeDefinitionsType;
/// All the tentative definitions encountered in the TU.
TentativeDefinitionsType TentativeDefinitions;
typedef LazyVector<const DeclaratorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadUnusedFileScopedDecls, 2, 2>
UnusedFileScopedDeclsType;
/// The set of file scoped decls seen so far that have not been used
/// and must warn if not used. Only contains the first declaration.
UnusedFileScopedDeclsType UnusedFileScopedDecls;
typedef LazyVector<CXXConstructorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadDelegatingConstructors, 2, 2>
DelegatingCtorDeclsType;
/// All the delegating constructors seen so far in the file, used for
/// cycle detection at the end of the TU.
DelegatingCtorDeclsType DelegatingCtorDecls;
/// All the overriding functions seen during a class definition
/// that had their exception spec checks delayed, plus the overridden
/// function.
SmallVector<std::pair<const CXXMethodDecl*, const CXXMethodDecl*>, 2>
DelayedOverridingExceptionSpecChecks;
/// All the function redeclarations seen during a class definition that had
/// their exception spec checks delayed, plus the prior declaration they
/// should be checked against. Except during error recovery, the new decl
/// should always be a friend declaration, as that's the only valid way to
/// redeclare a special member before its class is complete.
SmallVector<std::pair<FunctionDecl*, FunctionDecl*>, 2>
DelayedEquivalentExceptionSpecChecks;
/// All the members seen during a class definition which were both
/// explicitly defaulted and had explicitly-specified exception
/// specifications, along with the function type containing their
/// user-specified exception specification. Those exception specifications
/// were overridden with the default specifications, but we still need to
/// check whether they are compatible with the default specification, and
/// we can't do that until the nesting set of class definitions is complete.
SmallVector<std::pair<CXXMethodDecl*, const FunctionProtoType*>, 2>
DelayedDefaultedMemberExceptionSpecs;
typedef llvm::MapVector<const FunctionDecl *,
std::unique_ptr<LateParsedTemplate>>
LateParsedTemplateMapT;
LateParsedTemplateMapT LateParsedTemplateMap;
/// Callback to the parser to parse templated functions when needed.
typedef void LateTemplateParserCB(void *P, LateParsedTemplate &LPT);
typedef void LateTemplateParserCleanupCB(void *P);
LateTemplateParserCB *LateTemplateParser;
LateTemplateParserCleanupCB *LateTemplateParserCleanup;
void *OpaqueParser;
void SetLateTemplateParser(LateTemplateParserCB *LTP,
LateTemplateParserCleanupCB *LTPCleanup,
void *P) {
LateTemplateParser = LTP;
LateTemplateParserCleanup = LTPCleanup;
OpaqueParser = P;
}
class DelayedDiagnostics;
class DelayedDiagnosticsState {
sema::DelayedDiagnosticPool *SavedPool;
friend class Sema::DelayedDiagnostics;
};
typedef DelayedDiagnosticsState ParsingDeclState;
typedef DelayedDiagnosticsState ProcessingContextState;
/// A class which encapsulates the logic for delaying diagnostics
/// during parsing and other processing.
class DelayedDiagnostics {
/// The current pool of diagnostics into which delayed
/// diagnostics should go.
sema::DelayedDiagnosticPool *CurPool;
public:
DelayedDiagnostics() : CurPool(nullptr) {}
/// Adds a delayed diagnostic.
void add(const sema::DelayedDiagnostic &diag); // in DelayedDiagnostic.h
/// Determines whether diagnostics should be delayed.
bool shouldDelayDiagnostics() { return CurPool != nullptr; }
/// Returns the current delayed-diagnostics pool.
sema::DelayedDiagnosticPool *getCurrentPool() const {
return CurPool;
}
/// Enter a new scope. Access and deprecation diagnostics will be
/// collected in this pool.
DelayedDiagnosticsState push(sema::DelayedDiagnosticPool &pool) {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = &pool;
return state;
}
/// Leave a delayed-diagnostic state that was previously pushed.
/// Do not emit any of the diagnostics. This is performed as part
/// of the bookkeeping of popping a pool "properly".
void popWithoutEmitting(DelayedDiagnosticsState state) {
CurPool = state.SavedPool;
}
/// Enter a new scope where access and deprecation diagnostics are
/// not delayed.
DelayedDiagnosticsState pushUndelayed() {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = nullptr;
return state;
}
/// Undo a previous pushUndelayed().
void popUndelayed(DelayedDiagnosticsState state) {
assert(CurPool == nullptr);
CurPool = state.SavedPool;
}
} DelayedDiagnostics;
/// A RAII object to temporarily push a declaration context.
class ContextRAII {
private:
Sema &S;
DeclContext *SavedContext;
ProcessingContextState SavedContextState;
QualType SavedCXXThisTypeOverride;
public:
ContextRAII(Sema &S, DeclContext *ContextToPush, bool NewThisContext = true)
: S(S), SavedContext(S.CurContext),
SavedContextState(S.DelayedDiagnostics.pushUndelayed()),
SavedCXXThisTypeOverride(S.CXXThisTypeOverride)
{
assert(ContextToPush && "pushing null context");
S.CurContext = ContextToPush;
if (NewThisContext)
S.CXXThisTypeOverride = QualType();
}
void pop() {
if (!SavedContext) return;
S.CurContext = SavedContext;
S.DelayedDiagnostics.popUndelayed(SavedContextState);
S.CXXThisTypeOverride = SavedCXXThisTypeOverride;
SavedContext = nullptr;
}
~ContextRAII() {
pop();
}
};
/// RAII object to handle the state changes required to synthesize
/// a function body.
class SynthesizedFunctionScope {
Sema &S;
Sema::ContextRAII SavedContext;
bool PushedCodeSynthesisContext = false;
public:
SynthesizedFunctionScope(Sema &S, DeclContext *DC)
: S(S), SavedContext(S, DC) {
S.PushFunctionScope();
S.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::PotentiallyEvaluated);
if (auto *FD = dyn_cast<FunctionDecl>(DC))
FD->setWillHaveBody(true);
else
assert(isa<ObjCMethodDecl>(DC));
}
void addContextNote(SourceLocation UseLoc) {
assert(!PushedCodeSynthesisContext);
Sema::CodeSynthesisContext Ctx;
Ctx.Kind = Sema::CodeSynthesisContext::DefiningSynthesizedFunction;
Ctx.PointOfInstantiation = UseLoc;
Ctx.Entity = cast<Decl>(S.CurContext);
S.pushCodeSynthesisContext(Ctx);
PushedCodeSynthesisContext = true;
}
~SynthesizedFunctionScope() {
if (PushedCodeSynthesisContext)
S.popCodeSynthesisContext();
if (auto *FD = dyn_cast<FunctionDecl>(S.CurContext))
FD->setWillHaveBody(false);
S.PopExpressionEvaluationContext();
S.PopFunctionScopeInfo();
}
};
/// WeakUndeclaredIdentifiers - Identifiers contained in
/// \#pragma weak before declared. rare. may alias another
/// identifier, declared or undeclared
llvm::MapVector<IdentifierInfo *, WeakInfo> WeakUndeclaredIdentifiers;
/// ExtnameUndeclaredIdentifiers - Identifiers contained in
/// \#pragma redefine_extname before declared. Used in Solaris system headers
/// to define functions that occur in multiple standards to call the version
/// in the currently selected standard.
llvm::DenseMap<IdentifierInfo*,AsmLabelAttr*> ExtnameUndeclaredIdentifiers;
/// Load weak undeclared identifiers from the external source.
void LoadExternalWeakUndeclaredIdentifiers();
/// WeakTopLevelDecl - Translation-unit scoped declarations generated by
/// \#pragma weak during processing of other Decls.
/// I couldn't figure out a clean way to generate these in-line, so
/// we store them here and handle separately -- which is a hack.
/// It would be best to refactor this.
SmallVector<Decl*,2> WeakTopLevelDecl;
IdentifierResolver IdResolver;
/// Translation Unit Scope - useful to Objective-C actions that need
/// to lookup file scope declarations in the "ordinary" C decl namespace.
/// For example, user-defined classes, built-in "id" type, etc.
Scope *TUScope;
/// The C++ "std" namespace, where the standard library resides.
LazyDeclPtr StdNamespace;
/// The C++ "std::bad_alloc" class, which is defined by the C++
/// standard library.
LazyDeclPtr StdBadAlloc;
/// The C++ "std::align_val_t" enum class, which is defined by the C++
/// standard library.
LazyDeclPtr StdAlignValT;
/// The C++ "std::experimental" namespace, where the experimental parts
/// of the standard library resides.
NamespaceDecl *StdExperimentalNamespaceCache;
/// The C++ "std::initializer_list" template, which is defined in
/// \<initializer_list>.
ClassTemplateDecl *StdInitializerList;
/// The C++ "std::coroutine_traits" template, which is defined in
/// \<coroutine_traits>
ClassTemplateDecl *StdCoroutineTraitsCache;
/// The C++ "type_info" declaration, which is defined in \<typeinfo>.
RecordDecl *CXXTypeInfoDecl;
/// The MSVC "_GUID" struct, which is defined in MSVC header files.
RecordDecl *MSVCGuidDecl;
/// Caches identifiers/selectors for NSFoundation APIs.
std::unique_ptr<NSAPI> NSAPIObj;
/// The declaration of the Objective-C NSNumber class.
ObjCInterfaceDecl *NSNumberDecl;
/// The declaration of the Objective-C NSValue class.
ObjCInterfaceDecl *NSValueDecl;
/// Pointer to NSNumber type (NSNumber *).
QualType NSNumberPointer;
/// Pointer to NSValue type (NSValue *).
QualType NSValuePointer;
/// The Objective-C NSNumber methods used to create NSNumber literals.
ObjCMethodDecl *NSNumberLiteralMethods[NSAPI::NumNSNumberLiteralMethods];
/// The declaration of the Objective-C NSString class.
ObjCInterfaceDecl *NSStringDecl;
/// Pointer to NSString type (NSString *).
QualType NSStringPointer;
/// The declaration of the stringWithUTF8String: method.
ObjCMethodDecl *StringWithUTF8StringMethod;
/// The declaration of the valueWithBytes:objCType: method.
ObjCMethodDecl *ValueWithBytesObjCTypeMethod;
/// The declaration of the Objective-C NSArray class.
ObjCInterfaceDecl *NSArrayDecl;
/// The declaration of the arrayWithObjects:count: method.
ObjCMethodDecl *ArrayWithObjectsMethod;
/// The declaration of the Objective-C NSDictionary class.
ObjCInterfaceDecl *NSDictionaryDecl;
/// The declaration of the dictionaryWithObjects:forKeys:count: method.
ObjCMethodDecl *DictionaryWithObjectsMethod;
/// id<NSCopying> type.
QualType QIDNSCopying;
/// will hold 'respondsToSelector:'
Selector RespondsToSelectorSel;
/// A flag to remember whether the implicit forms of operator new and delete
/// have been declared.
bool GlobalNewDeleteDeclared;
/// A flag to indicate that we're in a context that permits abstract
/// references to fields. This is really a
bool AllowAbstractFieldReference;
/// Describes how the expressions currently being parsed are
/// evaluated at run-time, if at all.
enum class ExpressionEvaluationContext {
/// The current expression and its subexpressions occur within an
/// unevaluated operand (C++11 [expr]p7), such as the subexpression of
/// \c sizeof, where the type of the expression may be significant but
/// no code will be generated to evaluate the value of the expression at
/// run time.
Unevaluated,
/// The current expression occurs within a braced-init-list within
/// an unevaluated operand. This is mostly like a regular unevaluated
/// context, except that we still instantiate constexpr functions that are
/// referenced here so that we can perform narrowing checks correctly.
UnevaluatedList,
/// The current expression occurs within a discarded statement.
/// This behaves largely similarly to an unevaluated operand in preventing
/// definitions from being required, but not in other ways.
DiscardedStatement,
/// The current expression occurs within an unevaluated
/// operand that unconditionally permits abstract references to
/// fields, such as a SIZE operator in MS-style inline assembly.
UnevaluatedAbstract,
/// The current context is "potentially evaluated" in C++11 terms,
/// but the expression is evaluated at compile-time (like the values of
/// cases in a switch statement).
ConstantEvaluated,
/// The current expression is potentially evaluated at run time,
/// which means that code may be generated to evaluate the value of the
/// expression at run time.
PotentiallyEvaluated,
/// The current expression is potentially evaluated, but any
/// declarations referenced inside that expression are only used if
/// in fact the current expression is used.
///
/// This value is used when parsing default function arguments, for which
/// we would like to provide diagnostics (e.g., passing non-POD arguments
/// through varargs) but do not want to mark declarations as "referenced"
/// until the default argument is used.
PotentiallyEvaluatedIfUsed
};
/// Data structure used to record current or nested
/// expression evaluation contexts.
struct ExpressionEvaluationContextRecord {
/// The expression evaluation context.
ExpressionEvaluationContext Context;
/// Whether the enclosing context needed a cleanup.
CleanupInfo ParentCleanup;
/// Whether we are in a decltype expression.
bool IsDecltype;
/// The number of active cleanup objects when we entered
/// this expression evaluation context.
unsigned NumCleanupObjects;
/// The number of typos encountered during this expression evaluation
/// context (i.e. the number of TypoExprs created).
unsigned NumTypos;
llvm::SmallPtrSet<Expr*, 2> SavedMaybeODRUseExprs;
/// The lambdas that are present within this context, if it
/// is indeed an unevaluated context.
SmallVector<LambdaExpr *, 2> Lambdas;
/// The declaration that provides context for lambda expressions
/// and block literals if the normal declaration context does not
/// suffice, e.g., in a default function argument.
Decl *ManglingContextDecl;
/// The context information used to mangle lambda expressions
/// and block literals within this context.
///
/// This mangling information is allocated lazily, since most contexts
/// do not have lambda expressions or block literals.
std::unique_ptr<MangleNumberingContext> MangleNumbering;
/// If we are processing a decltype type, a set of call expressions
/// for which we have deferred checking the completeness of the return type.
SmallVector<CallExpr *, 8> DelayedDecltypeCalls;
/// If we are processing a decltype type, a set of temporary binding
/// expressions for which we have deferred checking the destructor.
SmallVector<CXXBindTemporaryExpr *, 8> DelayedDecltypeBinds;
llvm::SmallPtrSet<const Expr *, 8> PossibleDerefs;
/// \brief Describes whether we are in an expression constext which we have
/// to handle differently.
enum ExpressionKind {
EK_Decltype, EK_TemplateArgument, EK_Other
} ExprContext;
ExpressionEvaluationContextRecord(ExpressionEvaluationContext Context,
unsigned NumCleanupObjects,
CleanupInfo ParentCleanup,
Decl *ManglingContextDecl,
ExpressionKind ExprContext)
: Context(Context), ParentCleanup(ParentCleanup),
NumCleanupObjects(NumCleanupObjects), NumTypos(0),
ManglingContextDecl(ManglingContextDecl), MangleNumbering(),
ExprContext(ExprContext) {}
/// Retrieve the mangling numbering context, used to consistently
/// number constructs like lambdas for mangling.
MangleNumberingContext &getMangleNumberingContext(ASTContext &Ctx);
bool isUnevaluated() const {
return Context == ExpressionEvaluationContext::Unevaluated ||
Context == ExpressionEvaluationContext::UnevaluatedAbstract ||
Context == ExpressionEvaluationContext::UnevaluatedList;
}
bool isConstantEvaluated() const {
return Context == ExpressionEvaluationContext::ConstantEvaluated;
}
};
/// A stack of expression evaluation contexts.
SmallVector<ExpressionEvaluationContextRecord, 8> ExprEvalContexts;
/// Emit a warning for all pending noderef expressions that we recorded.
void WarnOnPendingNoDerefs(ExpressionEvaluationContextRecord &Rec);
/// Compute the mangling number context for a lambda expression or
/// block literal.
///
/// \param DC - The DeclContext containing the lambda expression or
/// block literal.
/// \param[out] ManglingContextDecl - Returns the ManglingContextDecl
/// associated with the context, if relevant.
MangleNumberingContext *getCurrentMangleNumberContext(
const DeclContext *DC,
Decl *&ManglingContextDecl);
/// SpecialMemberOverloadResult - The overloading result for a special member
/// function.
///
/// This is basically a wrapper around PointerIntPair. The lowest bits of the
/// integer are used to determine whether overload resolution succeeded.
class SpecialMemberOverloadResult {
public:
enum Kind {
NoMemberOrDeleted,
Ambiguous,
Success
};
private:
llvm::PointerIntPair<CXXMethodDecl*, 2> Pair;
public:
SpecialMemberOverloadResult() : Pair() {}
SpecialMemberOverloadResult(CXXMethodDecl *MD)
: Pair(MD, MD->isDeleted() ? NoMemberOrDeleted : Success) {}
CXXMethodDecl *getMethod() const { return Pair.getPointer(); }
void setMethod(CXXMethodDecl *MD) { Pair.setPointer(MD); }
Kind getKind() const { return static_cast<Kind>(Pair.getInt()); }
void setKind(Kind K) { Pair.setInt(K); }
};
class SpecialMemberOverloadResultEntry
: public llvm::FastFoldingSetNode,
public SpecialMemberOverloadResult {
public:
SpecialMemberOverloadResultEntry(const llvm::FoldingSetNodeID &ID)
: FastFoldingSetNode(ID)
{}
};
/// A cache of special member function overload resolution results
/// for C++ records.
llvm::FoldingSet<SpecialMemberOverloadResultEntry> SpecialMemberCache;
/// A cache of the flags available in enumerations with the flag_bits
/// attribute.
mutable llvm::DenseMap<const EnumDecl*, llvm::APInt> FlagBitsCache;
/// The kind of translation unit we are processing.
///
/// When we're processing a complete translation unit, Sema will perform
/// end-of-translation-unit semantic tasks (such as creating
/// initializers for tentative definitions in C) once parsing has
/// completed. Modules and precompiled headers perform different kinds of
/// checks.
TranslationUnitKind TUKind;
llvm::BumpPtrAllocator BumpAlloc;
/// The number of SFINAE diagnostics that have been trapped.
unsigned NumSFINAEErrors;
typedef llvm::DenseMap<ParmVarDecl *, llvm::TinyPtrVector<ParmVarDecl *>>
UnparsedDefaultArgInstantiationsMap;
/// A mapping from parameters with unparsed default arguments to the
/// set of instantiations of each parameter.
///
/// This mapping is a temporary data structure used when parsing
/// nested class templates or nested classes of class templates,
/// where we might end up instantiating an inner class before the
/// default arguments of its methods have been parsed.
UnparsedDefaultArgInstantiationsMap UnparsedDefaultArgInstantiations;
// Contains the locations of the beginning of unparsed default
// argument locations.
llvm::DenseMap<ParmVarDecl *, SourceLocation> UnparsedDefaultArgLocs;
/// UndefinedInternals - all the used, undefined objects which require a
/// definition in this translation unit.
llvm::MapVector<NamedDecl *, SourceLocation> UndefinedButUsed;
/// Determine if VD, which must be a variable or function, is an external
/// symbol that nonetheless can't be referenced from outside this translation
/// unit because its type has no linkage and it's not extern "C".
bool isExternalWithNoLinkageType(ValueDecl *VD);
/// Obtain a sorted list of functions that are undefined but ODR-used.
void getUndefinedButUsed(
SmallVectorImpl<std::pair<NamedDecl *, SourceLocation> > &Undefined);
/// Retrieves list of suspicious delete-expressions that will be checked at
/// the end of translation unit.
const llvm::MapVector<FieldDecl *, DeleteLocs> &
getMismatchingDeleteExpressions() const;
typedef std::pair<ObjCMethodList, ObjCMethodList> GlobalMethods;
typedef llvm::DenseMap<Selector, GlobalMethods> GlobalMethodPool;
/// Method Pool - allows efficient lookup when typechecking messages to "id".
/// We need to maintain a list, since selectors can have differing signatures
/// across classes. In Cocoa, this happens to be extremely uncommon (only 1%
/// of selectors are "overloaded").
/// At the head of the list it is recorded whether there were 0, 1, or >= 2
/// methods inside categories with a particular selector.
GlobalMethodPool MethodPool;
/// Method selectors used in a \@selector expression. Used for implementation
/// of -Wselector.
llvm::MapVector<Selector, SourceLocation> ReferencedSelectors;
/// Kinds of C++ special members.
enum CXXSpecialMember {
CXXDefaultConstructor,
CXXCopyConstructor,
CXXMoveConstructor,
CXXCopyAssignment,
CXXMoveAssignment,
CXXDestructor,
CXXInvalid
};
typedef llvm::PointerIntPair<CXXRecordDecl *, 3, CXXSpecialMember>
SpecialMemberDecl;
/// The C++ special members which we are currently in the process of
/// declaring. If this process recursively triggers the declaration of the
/// same special member, we should act as if it is not yet declared.
llvm::SmallPtrSet<SpecialMemberDecl, 4> SpecialMembersBeingDeclared;
/// The function definitions which were renamed as part of typo-correction
/// to match their respective declarations. We want to keep track of them
/// to ensure that we don't emit a "redefinition" error if we encounter a
/// correctly named definition after the renamed definition.
llvm::SmallPtrSet<const NamedDecl *, 4> TypoCorrectedFunctionDefinitions;
/// Stack of types that correspond to the parameter entities that are
/// currently being copy-initialized. Can be empty.
llvm::SmallVector<QualType, 4> CurrentParameterCopyTypes;
void ReadMethodPool(Selector Sel);
void updateOutOfDateSelector(Selector Sel);
/// Private Helper predicate to check for 'self'.
bool isSelfExpr(Expr *RExpr);
bool isSelfExpr(Expr *RExpr, const ObjCMethodDecl *Method);
/// Cause the active diagnostic on the DiagosticsEngine to be
/// emitted. This is closely coupled to the SemaDiagnosticBuilder class and
/// should not be used elsewhere.
void EmitCurrentDiagnostic(unsigned DiagID);
/// Records and restores the FP_CONTRACT state on entry/exit of compound
/// statements.
class FPContractStateRAII {
public:
FPContractStateRAII(Sema &S) : S(S), OldFPFeaturesState(S.FPFeatures) {}
~FPContractStateRAII() { S.FPFeatures = OldFPFeaturesState; }
private:
Sema& S;
FPOptions OldFPFeaturesState;
};
void addImplicitTypedef(StringRef Name, QualType T);
public:
Sema(Preprocessor &pp, ASTContext &ctxt, ASTConsumer &consumer,
TranslationUnitKind TUKind = TU_Complete,
CodeCompleteConsumer *CompletionConsumer = nullptr);
~Sema();
/// Perform initialization that occurs after the parser has been
/// initialized but before it parses anything.
void Initialize();
const LangOptions &getLangOpts() const { return LangOpts; }
OpenCLOptions &getOpenCLOptions() { return OpenCLFeatures; }
FPOptions &getFPOptions() { return FPFeatures; }
DiagnosticsEngine &getDiagnostics() const { return Diags; }
SourceManager &getSourceManager() const { return SourceMgr; }
Preprocessor &getPreprocessor() const { return PP; }
ASTContext &getASTContext() const { return Context; }
ASTConsumer &getASTConsumer() const { return Consumer; }
ASTMutationListener *getASTMutationListener() const;
ExternalSemaSource* getExternalSource() const { return ExternalSource; }
///Registers an external source. If an external source already exists,
/// creates a multiplex external source and appends to it.
///
///\param[in] E - A non-null external sema source.
///
void addExternalSource(ExternalSemaSource *E);
void PrintStats() const;
/// Helper class that creates diagnostics with optional
/// template instantiation stacks.
///
/// This class provides a wrapper around the basic DiagnosticBuilder
/// class that emits diagnostics. SemaDiagnosticBuilder is
/// responsible for emitting the diagnostic (as DiagnosticBuilder
/// does) and, if the diagnostic comes from inside a template
/// instantiation, printing the template instantiation stack as
/// well.
class SemaDiagnosticBuilder : public DiagnosticBuilder {
Sema &SemaRef;
unsigned DiagID;
public:
SemaDiagnosticBuilder(DiagnosticBuilder &DB, Sema &SemaRef, unsigned DiagID)
: DiagnosticBuilder(DB), SemaRef(SemaRef), DiagID(DiagID) { }
// This is a cunning lie. DiagnosticBuilder actually performs move
// construction in its copy constructor (but due to varied uses, it's not
// possible to conveniently express this as actual move construction). So
// the default copy ctor here is fine, because the base class disables the
// source anyway, so the user-defined ~SemaDiagnosticBuilder is a safe no-op
// in that case anwyay.
SemaDiagnosticBuilder(const SemaDiagnosticBuilder&) = default;
~SemaDiagnosticBuilder() {
// If we aren't active, there is nothing to do.
if (!isActive()) return;
// Otherwise, we need to emit the diagnostic. First flush the underlying
// DiagnosticBuilder data, and clear the diagnostic builder itself so it
// won't emit the diagnostic in its own destructor.
//
// This seems wasteful, in that as written the DiagnosticBuilder dtor will
// do its own needless checks to see if the diagnostic needs to be
// emitted. However, because we take care to ensure that the builder
// objects never escape, a sufficiently smart compiler will be able to
// eliminate that code.
FlushCounts();
Clear();
// Dispatch to Sema to emit the diagnostic.
SemaRef.EmitCurrentDiagnostic(DiagID);
}
/// Teach operator<< to produce an object of the correct type.
template<typename T>
friend const SemaDiagnosticBuilder &operator<<(
const SemaDiagnosticBuilder &Diag, const T &Value) {
const DiagnosticBuilder &BaseDiag = Diag;
BaseDiag << Value;
return Diag;
}
};
/// Emit a diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID) {
DiagnosticBuilder DB = Diags.Report(Loc, DiagID);
return SemaDiagnosticBuilder(DB, *this, DiagID);
}
/// Emit a partial diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, const PartialDiagnostic& PD);
/// Build a partial diagnostic.
PartialDiagnostic PDiag(unsigned DiagID = 0); // in SemaInternal.h
bool findMacroSpelling(SourceLocation &loc, StringRef name);
/// Get a string to suggest for zero-initialization of a type.
std::string
getFixItZeroInitializerForType(QualType T, SourceLocation Loc) const;
std::string getFixItZeroLiteralForType(QualType T, SourceLocation Loc) const;
/// Calls \c Lexer::getLocForEndOfToken()
SourceLocation getLocForEndOfToken(SourceLocation Loc, unsigned Offset = 0);
/// Retrieve the module loader associated with the preprocessor.
ModuleLoader &getModuleLoader() const;
void emitAndClearUnusedLocalTypedefWarnings();
void ActOnStartOfTranslationUnit();
void ActOnEndOfTranslationUnit();
void CheckDelegatingCtorCycles();
Scope *getScopeForContext(DeclContext *Ctx);
void PushFunctionScope();
void PushBlockScope(Scope *BlockScope, BlockDecl *Block);
sema::LambdaScopeInfo *PushLambdaScope();
/// This is used to inform Sema what the current TemplateParameterDepth
/// is during Parsing. Currently it is used to pass on the depth
/// when parsing generic lambda 'auto' parameters.
void RecordParsingTemplateParameterDepth(unsigned Depth);
void PushCapturedRegionScope(Scope *RegionScope, CapturedDecl *CD,
RecordDecl *RD,
CapturedRegionKind K);
void
PopFunctionScopeInfo(const sema::AnalysisBasedWarnings::Policy *WP = nullptr,
const Decl *D = nullptr,
const BlockExpr *blkExpr = nullptr);
sema::FunctionScopeInfo *getCurFunction() const {
return FunctionScopes.empty() ? nullptr : FunctionScopes.back();
}
sema::FunctionScopeInfo *getEnclosingFunction() const;
void setFunctionHasBranchIntoScope();
void setFunctionHasBranchProtectedScope();
void setFunctionHasIndirectGoto();
void PushCompoundScope(bool IsStmtExpr);
void PopCompoundScope();
sema::CompoundScopeInfo &getCurCompoundScope() const;
bool isCurCompoundStmtAStmtExpr() const;
bool hasAnyUnrecoverableErrorsInThisFunction() const;
/// Retrieve the current block, if any.
sema::BlockScopeInfo *getCurBlock();
/// Retrieve the current lambda scope info, if any.
/// \param IgnoreNonLambdaCapturingScope true if should find the top-most
/// lambda scope info ignoring all inner capturing scopes that are not
/// lambda scopes.
sema::LambdaScopeInfo *
getCurLambda(bool IgnoreNonLambdaCapturingScope = false);
/// Retrieve the current generic lambda info, if any.
sema::LambdaScopeInfo *getCurGenericLambda();
/// Retrieve the current captured region, if any.
sema::CapturedRegionScopeInfo *getCurCapturedRegion();
/// WeakTopLevelDeclDecls - access to \#pragma weak-generated Decls
SmallVectorImpl<Decl *> &WeakTopLevelDecls() { return WeakTopLevelDecl; }
void ActOnComment(SourceRange Comment);
//===--------------------------------------------------------------------===//
// Type Analysis / Processing: SemaType.cpp.
//
QualType BuildQualifiedType(QualType T, SourceLocation Loc, Qualifiers Qs,
const DeclSpec *DS = nullptr);
QualType BuildQualifiedType(QualType T, SourceLocation Loc, unsigned CVRA,
const DeclSpec *DS = nullptr);
QualType BuildPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildReferenceType(QualType T, bool LValueRef,
SourceLocation Loc, DeclarationName Entity);
QualType BuildArrayType(QualType T, ArrayType::ArraySizeModifier ASM,
Expr *ArraySize, unsigned Quals,
SourceRange Brackets, DeclarationName Entity);
QualType BuildVectorType(QualType T, Expr *VecSize, SourceLocation AttrLoc);
QualType BuildExtVectorType(QualType T, Expr *ArraySize,
SourceLocation AttrLoc);
QualType BuildAddressSpaceAttr(QualType &T, LangAS ASIdx, Expr *AddrSpace,
SourceLocation AttrLoc);
/// Same as above, but constructs the AddressSpace index if not provided.
QualType BuildAddressSpaceAttr(QualType &T, Expr *AddrSpace,
SourceLocation AttrLoc);
bool CheckFunctionReturnType(QualType T, SourceLocation Loc);
/// Build a function type.
///
/// This routine checks the function type according to C++ rules and
/// under the assumption that the result type and parameter types have
/// just been instantiated from a template. It therefore duplicates
/// some of the behavior of GetTypeForDeclarator, but in a much
/// simpler form that is only suitable for this narrow use case.
///
/// \param T The return type of the function.
///
/// \param ParamTypes The parameter types of the function. This array
/// will be modified to account for adjustments to the types of the
/// function parameters.
///
/// \param Loc The location of the entity whose type involves this
/// function type or, if there is no such entity, the location of the
/// type that will have function type.
///
/// \param Entity The name of the entity that involves the function
/// type, if known.
///
/// \param EPI Extra information about the function type. Usually this will
/// be taken from an existing function with the same prototype.
///
/// \returns A suitable function type, if there are no errors. The
/// unqualified type will always be a FunctionProtoType.
/// Otherwise, returns a NULL type.
QualType BuildFunctionType(QualType T,
MutableArrayRef<QualType> ParamTypes,
SourceLocation Loc, DeclarationName Entity,
const FunctionProtoType::ExtProtoInfo &EPI);
QualType BuildMemberPointerType(QualType T, QualType Class,
SourceLocation Loc,
DeclarationName Entity);
QualType BuildBlockPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildParenType(QualType T);
QualType BuildAtomicType(QualType T, SourceLocation Loc);
QualType BuildReadPipeType(QualType T,
SourceLocation Loc);
QualType BuildWritePipeType(QualType T,
SourceLocation Loc);
TypeSourceInfo *GetTypeForDeclarator(Declarator &D, Scope *S);
TypeSourceInfo *GetTypeForDeclaratorCast(Declarator &D, QualType FromTy);
/// Package the given type and TSI into a ParsedType.
ParsedType CreateParsedType(QualType T, TypeSourceInfo *TInfo);
DeclarationNameInfo GetNameForDeclarator(Declarator &D);
DeclarationNameInfo GetNameFromUnqualifiedId(const UnqualifiedId &Name);
static QualType GetTypeFromParser(ParsedType Ty,
TypeSourceInfo **TInfo = nullptr);
CanThrowResult canThrow(const Expr *E);
const FunctionProtoType *ResolveExceptionSpec(SourceLocation Loc,
const FunctionProtoType *FPT);
void UpdateExceptionSpec(FunctionDecl *FD,
const FunctionProtoType::ExceptionSpecInfo &ESI);
bool CheckSpecifiedExceptionType(QualType &T, SourceRange Range);
bool CheckDistantExceptionSpec(QualType T);
bool CheckEquivalentExceptionSpec(FunctionDecl *Old, FunctionDecl *New);
bool CheckEquivalentExceptionSpec(
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool CheckEquivalentExceptionSpec(
const PartialDiagnostic &DiagID, const PartialDiagnostic & NoteID,
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool handlerCanCatch(QualType HandlerType, QualType ExceptionType);
bool CheckExceptionSpecSubset(const PartialDiagnostic &DiagID,
const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const FunctionProtoType *Superset,
SourceLocation SuperLoc,
const FunctionProtoType *Subset,
SourceLocation SubLoc);
bool CheckParamExceptionSpec(const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const FunctionProtoType *Target,
SourceLocation TargetLoc,
const FunctionProtoType *Source,
SourceLocation SourceLoc);
TypeResult ActOnTypeName(Scope *S, Declarator &D);
/// The parser has parsed the context-sensitive type 'instancetype'
/// in an Objective-C message declaration. Return the appropriate type.
ParsedType ActOnObjCInstanceType(SourceLocation Loc);
/// Abstract class used to diagnose incomplete types.
struct TypeDiagnoser {
TypeDiagnoser() {}
virtual void diagnose(Sema &S, SourceLocation Loc, QualType T) = 0;
virtual ~TypeDiagnoser() {}
};
static int getPrintable(int I) { return I; }
static unsigned getPrintable(unsigned I) { return I; }
static bool getPrintable(bool B) { return B; }
static const char * getPrintable(const char *S) { return S; }
static StringRef getPrintable(StringRef S) { return S; }
static const std::string &getPrintable(const std::string &S) { return S; }
static const IdentifierInfo *getPrintable(const IdentifierInfo *II) {
return II;
}
static DeclarationName getPrintable(DeclarationName N) { return N; }
static QualType getPrintable(QualType T) { return T; }
static SourceRange getPrintable(SourceRange R) { return R; }
static SourceRange getPrintable(SourceLocation L) { return L; }
static SourceRange getPrintable(const Expr *E) { return E->getSourceRange(); }
static SourceRange getPrintable(TypeLoc TL) { return TL.getSourceRange();}
template <typename... Ts> class BoundTypeDiagnoser : public TypeDiagnoser {
unsigned DiagID;
std::tuple<const Ts &...> Args;
template <std::size_t... Is>
void emit(const SemaDiagnosticBuilder &DB,
llvm::index_sequence<Is...>) const {
// Apply all tuple elements to the builder in order.
bool Dummy[] = {false, (DB << getPrintable(std::get<Is>(Args)))...};
(void)Dummy;
}
public:
BoundTypeDiagnoser(unsigned DiagID, const Ts &...Args)
: TypeDiagnoser(), DiagID(DiagID), Args(Args...) {
assert(DiagID != 0 && "no diagnostic for type diagnoser");
}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
const SemaDiagnosticBuilder &DB = S.Diag(Loc, DiagID);
emit(DB, llvm::index_sequence_for<Ts...>());
DB << T;
}
};
private:
/// Methods for marking which expressions involve dereferencing a pointer
/// marked with the 'noderef' attribute. Expressions are checked bottom up as
/// they are parsed, meaning that a noderef pointer may not be accessed. For
/// example, in `&*p` where `p` is a noderef pointer, we will first parse the
/// `*p`, but need to check that `address of` is called on it. This requires
/// keeping a container of all pending expressions and checking if the address
/// of them are eventually taken.
void CheckSubscriptAccessOfNoDeref(const ArraySubscriptExpr *E);
void CheckAddressOfNoDeref(const Expr *E);
void CheckMemberAccessOfNoDeref(const MemberExpr *E);
bool RequireCompleteTypeImpl(SourceLocation Loc, QualType T,
TypeDiagnoser *Diagnoser);
struct ModuleScope {
clang::Module *Module = nullptr;
bool ModuleInterface = false;
VisibleModuleSet OuterVisibleModules;
};
/// The modules we're currently parsing.
llvm::SmallVector<ModuleScope, 16> ModuleScopes;
/// Get the module whose scope we are currently within.
Module *getCurrentModule() const {
return ModuleScopes.empty() ? nullptr : ModuleScopes.back().Module;
}
VisibleModuleSet VisibleModules;
public:
/// Get the module owning an entity.
Module *getOwningModule(Decl *Entity) { return Entity->getOwningModule(); }
/// Make a merged definition of an existing hidden definition \p ND
/// visible at the specified location.
void makeMergedDefinitionVisible(NamedDecl *ND);
bool isModuleVisible(const Module *M, bool ModulePrivate = false);
/// Determine whether a declaration is visible to name lookup.
bool isVisible(const NamedDecl *D) {
return !D->isHidden() || isVisibleSlow(D);
}
/// Determine whether any declaration of an entity is visible.
bool
hasVisibleDeclaration(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr) {
return isVisible(D) || hasVisibleDeclarationSlow(D, Modules);
}
bool hasVisibleDeclarationSlow(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules);
bool hasVisibleMergedDefinition(NamedDecl *Def);
bool hasMergedDefinitionInCurrentModule(NamedDecl *Def);
/// Determine if \p D and \p Suggested have a structurally compatible
/// layout as described in C11 6.2.7/1.
bool hasStructuralCompatLayout(Decl *D, Decl *Suggested);
/// Determine if \p D has a visible definition. If not, suggest a declaration
/// that should be made visible to expose the definition.
bool hasVisibleDefinition(NamedDecl *D, NamedDecl **Suggested,
bool OnlyNeedComplete = false);
bool hasVisibleDefinition(const NamedDecl *D) {
NamedDecl *Hidden;
return hasVisibleDefinition(const_cast<NamedDecl*>(D), &Hidden);
}
/// Determine if the template parameter \p D has a visible default argument.
bool
hasVisibleDefaultArgument(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is an explicit
/// specialization declaration for a specialization of a template. (For a
/// member specialization, use hasVisibleMemberSpecialization.)
bool hasVisibleExplicitSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is a member
/// specialization declaration (as opposed to an instantiated declaration).
bool hasVisibleMemberSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if \p A and \p B are equivalent internal linkage declarations
/// from different modules, and thus an ambiguity error can be downgraded to
/// an extension warning.
bool isEquivalentInternalLinkageDeclaration(const NamedDecl *A,
const NamedDecl *B);
void diagnoseEquivalentInternalLinkageDeclarations(
SourceLocation Loc, const NamedDecl *D,
ArrayRef<const NamedDecl *> Equiv);
bool isUsualDeallocationFunction(const CXXMethodDecl *FD);
bool isCompleteType(SourceLocation Loc, QualType T) {
return !RequireCompleteTypeImpl(Loc, T, nullptr);
}
bool RequireCompleteType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireCompleteType(SourceLocation Loc, QualType T,
unsigned DiagID);
template <typename... Ts>
bool RequireCompleteType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteType(Loc, T, Diagnoser);
}
void completeExprArrayBound(Expr *E);
bool RequireCompleteExprType(Expr *E, TypeDiagnoser &Diagnoser);
bool RequireCompleteExprType(Expr *E, unsigned DiagID);
template <typename... Ts>
bool RequireCompleteExprType(Expr *E, unsigned DiagID, const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteExprType(E, Diagnoser);
}
bool RequireLiteralType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID);
template <typename... Ts>
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireLiteralType(Loc, T, Diagnoser);
}
QualType getElaboratedType(ElaboratedTypeKeyword Keyword,
const CXXScopeSpec &SS, QualType T,
TagDecl *OwnedTagDecl = nullptr);
QualType BuildTypeofExprType(Expr *E, SourceLocation Loc);
/// If AsUnevaluated is false, E is treated as though it were an evaluated
/// context, such as when building a type for decltype(auto).
QualType BuildDecltypeType(Expr *E, SourceLocation Loc,
bool AsUnevaluated = true);
QualType BuildUnaryTransformType(QualType BaseType,
UnaryTransformType::UTTKind UKind,
SourceLocation Loc);
//===--------------------------------------------------------------------===//
// Symbol table / Decl tracking callbacks: SemaDecl.cpp.
//
struct SkipBodyInfo {
SkipBodyInfo()
: ShouldSkip(false), CheckSameAsPrevious(false), Previous(nullptr),
New(nullptr) {}
bool ShouldSkip;
bool CheckSameAsPrevious;
NamedDecl *Previous;
NamedDecl *New;
};
DeclGroupPtrTy ConvertDeclToDeclGroup(Decl *Ptr, Decl *OwnedType = nullptr);
void DiagnoseUseOfUnimplementedSelectors();
bool isSimpleTypeSpecifier(tok::TokenKind Kind) const;
ParsedType getTypeName(const IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec *SS = nullptr,
bool isClassName = false, bool HasTrailingDot = false,
ParsedType ObjectType = nullptr,
bool IsCtorOrDtorName = false,
bool WantNontrivialTypeSourceInfo = false,
bool IsClassTemplateDeductionContext = true,
IdentifierInfo **CorrectedII = nullptr);
TypeSpecifierType isTagName(IdentifierInfo &II, Scope *S);
bool isMicrosoftMissingTypename(const CXXScopeSpec *SS, Scope *S);
void DiagnoseUnknownTypeName(IdentifierInfo *&II,
SourceLocation IILoc,
Scope *S,
CXXScopeSpec *SS,
ParsedType &SuggestedType,
bool IsTemplateName = false);
/// Attempt to behave like MSVC in situations where lookup of an unqualified
/// type name has failed in a dependent context. In these situations, we
/// automatically form a DependentTypeName that will retry lookup in a related
/// scope during instantiation.
ParsedType ActOnMSVCUnknownTypeName(const IdentifierInfo &II,
SourceLocation NameLoc,
bool IsTemplateTypeArg);
/// Describes the result of the name lookup and resolution performed
/// by \c ClassifyName().
enum NameClassificationKind {
NC_Unknown,
NC_Error,
NC_Keyword,
NC_Type,
NC_Expression,
NC_NestedNameSpecifier,
NC_TypeTemplate,
NC_VarTemplate,
NC_FunctionTemplate
};
class NameClassification {
NameClassificationKind Kind;
ExprResult Expr;
TemplateName Template;
ParsedType Type;
explicit NameClassification(NameClassificationKind Kind) : Kind(Kind) {}
public:
NameClassification(ExprResult Expr) : Kind(NC_Expression), Expr(Expr) {}
NameClassification(ParsedType Type) : Kind(NC_Type), Type(Type) {}
NameClassification(const IdentifierInfo *Keyword) : Kind(NC_Keyword) {}
static NameClassification Error() {
return NameClassification(NC_Error);
}
static NameClassification Unknown() {
return NameClassification(NC_Unknown);
}
static NameClassification NestedNameSpecifier() {
return NameClassification(NC_NestedNameSpecifier);
}
static NameClassification TypeTemplate(TemplateName Name) {
NameClassification Result(NC_TypeTemplate);
Result.Template = Name;
return Result;
}
static NameClassification VarTemplate(TemplateName Name) {
NameClassification Result(NC_VarTemplate);
Result.Template = Name;
return Result;
}
static NameClassification FunctionTemplate(TemplateName Name) {
NameClassification Result(NC_FunctionTemplate);
Result.Template = Name;
return Result;
}
NameClassificationKind getKind() const { return Kind; }
ParsedType getType() const {
assert(Kind == NC_Type);
return Type;
}
ExprResult getExpression() const {
assert(Kind == NC_Expression);
return Expr;
}
TemplateName getTemplateName() const {
assert(Kind == NC_TypeTemplate || Kind == NC_FunctionTemplate ||
Kind == NC_VarTemplate);
return Template;
}
TemplateNameKind getTemplateNameKind() const {
switch (Kind) {
case NC_TypeTemplate:
return TNK_Type_template;
case NC_FunctionTemplate:
return TNK_Function_template;
case NC_VarTemplate:
return TNK_Var_template;
default:
llvm_unreachable("unsupported name classification.");
}
}
};
/// Perform name lookup on the given name, classifying it based on
/// the results of name lookup and the following token.
///
/// This routine is used by the parser to resolve identifiers and help direct
/// parsing. When the identifier cannot be found, this routine will attempt
/// to correct the typo and classify based on the resulting name.
///
/// \param S The scope in which we're performing name lookup.
///
/// \param SS The nested-name-specifier that precedes the name.
///
/// \param Name The identifier. If typo correction finds an alternative name,
/// this pointer parameter will be updated accordingly.
///
/// \param NameLoc The location of the identifier.
///
/// \param NextToken The token following the identifier. Used to help
/// disambiguate the name.
///
/// \param IsAddressOfOperand True if this name is the operand of a unary
/// address of ('&') expression, assuming it is classified as an
/// expression.
///
/// \param CCC The correction callback, if typo correction is desired.
NameClassification
ClassifyName(Scope *S, CXXScopeSpec &SS, IdentifierInfo *&Name,
SourceLocation NameLoc, const Token &NextToken,
bool IsAddressOfOperand,
std::unique_ptr<CorrectionCandidateCallback> CCC = nullptr);
/// Describes the detailed kind of a template name. Used in diagnostics.
enum class TemplateNameKindForDiagnostics {
ClassTemplate,
FunctionTemplate,
VarTemplate,
AliasTemplate,
TemplateTemplateParam,
DependentTemplate
};
TemplateNameKindForDiagnostics
getTemplateNameKindForDiagnostics(TemplateName Name);
/// Determine whether it's plausible that E was intended to be a
/// template-name.
bool mightBeIntendedToBeTemplateName(ExprResult E, bool &Dependent) {
if (!getLangOpts().CPlusPlus || E.isInvalid())
return false;
Dependent = false;
if (auto *DRE = dyn_cast<DeclRefExpr>(E.get()))
return !DRE->hasExplicitTemplateArgs();
if (auto *ME = dyn_cast<MemberExpr>(E.get()))
return !ME->hasExplicitTemplateArgs();
Dependent = true;
if (auto *DSDRE = dyn_cast<DependentScopeDeclRefExpr>(E.get()))
return !DSDRE->hasExplicitTemplateArgs();
if (auto *DSME = dyn_cast<CXXDependentScopeMemberExpr>(E.get()))
return !DSME->hasExplicitTemplateArgs();
// Any additional cases recognized here should also be handled by
// diagnoseExprIntendedAsTemplateName.
return false;
}
void diagnoseExprIntendedAsTemplateName(Scope *S, ExprResult TemplateName,
SourceLocation Less,
SourceLocation Greater);
Decl *ActOnDeclarator(Scope *S, Declarator &D);
NamedDecl *HandleDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParameterLists);
void RegisterLocallyScopedExternCDecl(NamedDecl *ND, Scope *S);
bool DiagnoseClassNameShadow(DeclContext *DC, DeclarationNameInfo Info);
bool diagnoseQualifiedDeclaration(CXXScopeSpec &SS, DeclContext *DC,
DeclarationName Name, SourceLocation Loc,
bool IsTemplateId);
void
diagnoseIgnoredQualifiers(unsigned DiagID, unsigned Quals,
SourceLocation FallbackLoc,
SourceLocation ConstQualLoc = SourceLocation(),
SourceLocation VolatileQualLoc = SourceLocation(),
SourceLocation RestrictQualLoc = SourceLocation(),
SourceLocation AtomicQualLoc = SourceLocation(),
SourceLocation UnalignedQualLoc = SourceLocation());
static bool adjustContextForLocalExternDecl(DeclContext *&DC);
void DiagnoseFunctionSpecifiers(const DeclSpec &DS);
NamedDecl *getShadowedDeclaration(const TypedefNameDecl *D,
const LookupResult &R);
NamedDecl *getShadowedDeclaration(const VarDecl *D, const LookupResult &R);
void CheckShadow(NamedDecl *D, NamedDecl *ShadowedDecl,
const LookupResult &R);
void CheckShadow(Scope *S, VarDecl *D);
/// Warn if 'E', which is an expression that is about to be modified, refers
/// to a shadowing declaration.
void CheckShadowingDeclModification(Expr *E, SourceLocation Loc);
void DiagnoseShadowingLambdaDecls(const sema::LambdaScopeInfo *LSI);
private:
/// Map of current shadowing declarations to shadowed declarations. Warn if
/// it looks like the user is trying to modify the shadowing declaration.
llvm::DenseMap<const NamedDecl *, const NamedDecl *> ShadowingDecls;
public:
void CheckCastAlign(Expr *Op, QualType T, SourceRange TRange);
void handleTagNumbering(const TagDecl *Tag, Scope *TagScope);
void setTagNameForLinkagePurposes(TagDecl *TagFromDeclSpec,
TypedefNameDecl *NewTD);
void CheckTypedefForVariablyModifiedType(Scope *S, TypedefNameDecl *D);
NamedDecl* ActOnTypedefDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous);
NamedDecl* ActOnTypedefNameDecl(Scope* S, DeclContext* DC, TypedefNameDecl *D,
LookupResult &Previous, bool &Redeclaration);
NamedDecl *ActOnVariableDeclarator(Scope *S, Declarator &D, DeclContext *DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope,
ArrayRef<BindingDecl *> Bindings = None);
NamedDecl *
ActOnDecompositionDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists);
// Returns true if the variable declaration is a redeclaration
bool CheckVariableDeclaration(VarDecl *NewVD, LookupResult &Previous);
void CheckVariableDeclarationType(VarDecl *NewVD);
bool DeduceVariableDeclarationType(VarDecl *VDecl, bool DirectInit,
Expr *&Init);
void CheckCompleteVariableDeclaration(VarDecl *VD);
void CheckCompleteDecompositionDeclaration(DecompositionDecl *DD);
void MaybeSuggestAddingStaticToDecl(const FunctionDecl *D);
NamedDecl* ActOnFunctionDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope);
bool AddOverriddenMethods(CXXRecordDecl *DC, CXXMethodDecl *MD);
bool CheckConstexprFunctionDecl(const FunctionDecl *FD);
bool CheckConstexprFunctionBody(const FunctionDecl *FD, Stmt *Body);
void DiagnoseHiddenVirtualMethods(CXXMethodDecl *MD);
void FindHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
void NoteHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
// Returns true if the function declaration is a redeclaration
bool CheckFunctionDeclaration(Scope *S,
FunctionDecl *NewFD, LookupResult &Previous,
bool IsMemberSpecialization);
bool shouldLinkDependentDeclWithPrevious(Decl *D, Decl *OldDecl);
bool canFullyTypeCheckRedeclaration(ValueDecl *NewD, ValueDecl *OldD,
QualType NewT, QualType OldT);
void CheckMain(FunctionDecl *FD, const DeclSpec &D);
void CheckMSVCRTEntryPoint(FunctionDecl *FD);
Attr *getImplicitCodeSegOrSectionAttrForFunction(const FunctionDecl *FD, bool IsDefinition);
Decl *ActOnParamDeclarator(Scope *S, Declarator &D);
ParmVarDecl *BuildParmVarDeclForTypedef(DeclContext *DC,
SourceLocation Loc,
QualType T);
ParmVarDecl *CheckParameter(DeclContext *DC, SourceLocation StartLoc,
SourceLocation NameLoc, IdentifierInfo *Name,
QualType T, TypeSourceInfo *TSInfo,
StorageClass SC);
void ActOnParamDefaultArgument(Decl *param,
SourceLocation EqualLoc,
Expr *defarg);
void ActOnParamUnparsedDefaultArgument(Decl *param,
SourceLocation EqualLoc,
SourceLocation ArgLoc);
void ActOnParamDefaultArgumentError(Decl *param, SourceLocation EqualLoc);
bool SetParamDefaultArgument(ParmVarDecl *Param, Expr *DefaultArg,
SourceLocation EqualLoc);
void AddInitializerToDecl(Decl *dcl, Expr *init, bool DirectInit);
void ActOnUninitializedDecl(Decl *dcl);
void ActOnInitializerError(Decl *Dcl);
void ActOnPureSpecifier(Decl *D, SourceLocation PureSpecLoc);
void ActOnCXXForRangeDecl(Decl *D);
StmtResult ActOnCXXForRangeIdentifier(Scope *S, SourceLocation IdentLoc,
IdentifierInfo *Ident,
ParsedAttributes &Attrs,
SourceLocation AttrEnd);
void SetDeclDeleted(Decl *dcl, SourceLocation DelLoc);
void SetDeclDefaulted(Decl *dcl, SourceLocation DefaultLoc);
void CheckStaticLocalForDllExport(VarDecl *VD);
void FinalizeDeclaration(Decl *D);
DeclGroupPtrTy FinalizeDeclaratorGroup(Scope *S, const DeclSpec &DS,
ArrayRef<Decl *> Group);
DeclGroupPtrTy BuildDeclaratorGroup(MutableArrayRef<Decl *> Group);
/// Should be called on all declarations that might have attached
/// documentation comments.
void ActOnDocumentableDecl(Decl *D);
void ActOnDocumentableDecls(ArrayRef<Decl *> Group);
void ActOnFinishKNRParamDeclarations(Scope *S, Declarator &D,
SourceLocation LocAfterDecls);
void CheckForFunctionRedefinition(
FunctionDecl *FD, const FunctionDecl *EffectiveDefinition = nullptr,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Decl *D,
SkipBodyInfo *SkipBody = nullptr);
void ActOnStartOfObjCMethodDef(Scope *S, Decl *D);
bool isObjCMethodDecl(Decl *D) {
return D && isa<ObjCMethodDecl>(D);
}
/// Determine whether we can delay parsing the body of a function or
/// function template until it is used, assuming we don't care about emitting
/// code for that function.
///
/// This will be \c false if we may need the body of the function in the
/// middle of parsing an expression (where it's impractical to switch to
/// parsing a different function), for instance, if it's constexpr in C++11
/// or has an 'auto' return type in C++14. These cases are essentially bugs.
bool canDelayFunctionBody(const Declarator &D);
/// Determine whether we can skip parsing the body of a function
/// definition, assuming we don't care about analyzing its body or emitting
/// code for that function.
///
/// This will be \c false only if we may need the body of the function in
/// order to parse the rest of the program (for instance, if it is
/// \c constexpr in C++11 or has an 'auto' return type in C++14).
bool canSkipFunctionBody(Decl *D);
void computeNRVO(Stmt *Body, sema::FunctionScopeInfo *Scope);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body, bool IsInstantiation);
Decl *ActOnSkippedFunctionBody(Decl *Decl);
void ActOnFinishInlineFunctionDef(FunctionDecl *D);
/// ActOnFinishDelayedAttribute - Invoked when we have finished parsing an
/// attribute for which parsing is delayed.
void ActOnFinishDelayedAttribute(Scope *S, Decl *D, ParsedAttributes &Attrs);
/// Diagnose any unused parameters in the given sequence of
/// ParmVarDecl pointers.
void DiagnoseUnusedParameters(ArrayRef<ParmVarDecl *> Parameters);
/// Diagnose whether the size of parameters or return value of a
/// function or obj-c method definition is pass-by-value and larger than a
/// specified threshold.
void
DiagnoseSizeOfParametersAndReturnValue(ArrayRef<ParmVarDecl *> Parameters,
QualType ReturnTy, NamedDecl *D);
void DiagnoseInvalidJumps(Stmt *Body);
Decl *ActOnFileScopeAsmDecl(Expr *expr,
SourceLocation AsmLoc,
SourceLocation RParenLoc);
/// Handle a C++11 empty-declaration and attribute-declaration.
Decl *ActOnEmptyDeclaration(Scope *S, const ParsedAttributesView &AttrList,
SourceLocation SemiLoc);
enum class ModuleDeclKind {
Interface, ///< 'export module X;'
Implementation, ///< 'module X;'
Partition, ///< 'module partition X;'
};
/// The parser has processed a module-declaration that begins the definition
/// of a module interface or implementation.
DeclGroupPtrTy ActOnModuleDecl(SourceLocation StartLoc,
SourceLocation ModuleLoc, ModuleDeclKind MDK,
ModuleIdPath Path);
/// The parser has processed a module import declaration.
///
/// \param AtLoc The location of the '@' symbol, if any.
///
/// \param ImportLoc The location of the 'import' keyword.
///
/// \param Path The module access path.
DeclResult ActOnModuleImport(SourceLocation AtLoc, SourceLocation ImportLoc,
ModuleIdPath Path);
/// The parser has processed a module import translated from a
/// #include or similar preprocessing directive.
void ActOnModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
void BuildModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
/// The parsed has entered a submodule.
void ActOnModuleBegin(SourceLocation DirectiveLoc, Module *Mod);
/// The parser has left a submodule.
void ActOnModuleEnd(SourceLocation DirectiveLoc, Module *Mod);
/// Create an implicit import of the given module at the given
/// source location, for error recovery, if possible.
///
/// This routine is typically used when an entity found by name lookup
/// is actually hidden within a module that we know about but the user
/// has forgotten to import.
void createImplicitModuleImportForErrorRecovery(SourceLocation Loc,
Module *Mod);
/// Kinds of missing import. Note, the values of these enumerators correspond
/// to %select values in diagnostics.
enum class MissingImportKind {
Declaration,
Definition,
DefaultArgument,
ExplicitSpecialization,
PartialSpecialization
};
/// Diagnose that the specified declaration needs to be visible but
/// isn't, and suggest a module import that would resolve the problem.
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
MissingImportKind MIK, bool Recover = true);
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
SourceLocation DeclLoc, ArrayRef<Module *> Modules,
MissingImportKind MIK, bool Recover);
Decl *ActOnStartExportDecl(Scope *S, SourceLocation ExportLoc,
SourceLocation LBraceLoc);
Decl *ActOnFinishExportDecl(Scope *S, Decl *ExportDecl,
SourceLocation RBraceLoc);
/// We've found a use of a templated declaration that would trigger an
/// implicit instantiation. Check that any relevant explicit specializations
/// and partial specializations are visible, and diagnose if not.
void checkSpecializationVisibility(SourceLocation Loc, NamedDecl *Spec);
/// We've found a use of a template specialization that would select a
/// partial specialization. Check that the partial specialization is visible,
/// and diagnose if not.
void checkPartialSpecializationVisibility(SourceLocation Loc,
NamedDecl *Spec);
/// Retrieve a suitable printing policy for diagnostics.
PrintingPolicy getPrintingPolicy() const {
return getPrintingPolicy(Context, PP);
}
/// Retrieve a suitable printing policy for diagnostics.
static PrintingPolicy getPrintingPolicy(const ASTContext &Ctx,
const Preprocessor &PP);
/// Scope actions.
void ActOnPopScope(SourceLocation Loc, Scope *S);
void ActOnTranslationUnitScope(Scope *S);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
RecordDecl *&AnonRecord);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
MultiTemplateParamsArg TemplateParams,
bool IsExplicitInstantiation,
RecordDecl *&AnonRecord);
Decl *BuildAnonymousStructOrUnion(Scope *S, DeclSpec &DS,
AccessSpecifier AS,
RecordDecl *Record,
const PrintingPolicy &Policy);
Decl *BuildMicrosoftCAnonymousStruct(Scope *S, DeclSpec &DS,
RecordDecl *Record);
/// Common ways to introduce type names without a tag for use in diagnostics.
/// Keep in sync with err_tag_reference_non_tag.
enum NonTagKind {
NTK_NonStruct,
NTK_NonClass,
NTK_NonUnion,
NTK_NonEnum,
NTK_Typedef,
NTK_TypeAlias,
NTK_Template,
NTK_TypeAliasTemplate,
NTK_TemplateTemplateArgument,
};
/// Given a non-tag type declaration, returns an enum useful for indicating
/// what kind of non-tag type this is.
NonTagKind getNonTagTypeDeclKind(const Decl *D, TagTypeKind TTK);
bool isAcceptableTagRedeclaration(const TagDecl *Previous,
TagTypeKind NewTag, bool isDefinition,
SourceLocation NewTagLoc,
const IdentifierInfo *Name);
enum TagUseKind {
TUK_Reference, // Reference to a tag: 'struct foo *X;'
TUK_Declaration, // Fwd decl of a tag: 'struct foo;'
TUK_Definition, // Definition of a tag: 'struct foo { int X; } Y;'
TUK_Friend // Friend declaration: 'friend struct foo;'
};
Decl *ActOnTag(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc, const ParsedAttributesView &Attr,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
MultiTemplateParamsArg TemplateParameterLists, bool &OwnedDecl,
bool &IsDependent, SourceLocation ScopedEnumKWLoc,
bool ScopedEnumUsesClassTag, TypeResult UnderlyingType,
bool IsTypeSpecifier, bool IsTemplateParamOrArg,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnTemplatedFriendTag(Scope *S, SourceLocation FriendLoc,
unsigned TagSpec, SourceLocation TagLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr,
MultiTemplateParamsArg TempParamLists);
TypeResult ActOnDependentTag(Scope *S,
unsigned TagSpec,
TagUseKind TUK,
const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation TagLoc,
SourceLocation NameLoc);
void ActOnDefs(Scope *S, Decl *TagD, SourceLocation DeclStart,
IdentifierInfo *ClassName,
SmallVectorImpl<Decl *> &Decls);
Decl *ActOnField(Scope *S, Decl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth);
FieldDecl *HandleField(Scope *S, RecordDecl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS);
MSPropertyDecl *HandleMSProperty(Scope *S, RecordDecl *TagD,
SourceLocation DeclStart, Declarator &D,
Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS,
const ParsedAttr &MSPropertyAttr);
FieldDecl *CheckFieldDecl(DeclarationName Name, QualType T,
TypeSourceInfo *TInfo,
RecordDecl *Record, SourceLocation Loc,
bool Mutable, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
SourceLocation TSSL,
AccessSpecifier AS, NamedDecl *PrevDecl,
Declarator *D = nullptr);
bool CheckNontrivialField(FieldDecl *FD);
void DiagnoseNontrivial(const CXXRecordDecl *Record, CXXSpecialMember CSM);
enum TrivialABIHandling {
/// The triviality of a method unaffected by "trivial_abi".
TAH_IgnoreTrivialABI,
/// The triviality of a method affected by "trivial_abi".
TAH_ConsiderTrivialABI
};
bool SpecialMemberIsTrivial(CXXMethodDecl *MD, CXXSpecialMember CSM,
TrivialABIHandling TAH = TAH_IgnoreTrivialABI,
bool Diagnose = false);
CXXSpecialMember getSpecialMember(const CXXMethodDecl *MD);
void ActOnLastBitfield(SourceLocation DeclStart,
SmallVectorImpl<Decl *> &AllIvarDecls);
Decl *ActOnIvar(Scope *S, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
tok::ObjCKeywordKind visibility);
// This is used for both record definitions and ObjC interface declarations.
void ActOnFields(Scope *S, SourceLocation RecLoc, Decl *TagDecl,
ArrayRef<Decl *> Fields, SourceLocation LBrac,
SourceLocation RBrac, const ParsedAttributesView &AttrList);
/// ActOnTagStartDefinition - Invoked when we have entered the
/// scope of a tag's definition (e.g., for an enumeration, class,
/// struct, or union).
void ActOnTagStartDefinition(Scope *S, Decl *TagDecl);
/// Perform ODR-like check for C/ObjC when merging tag types from modules.
/// Differently from C++, actually parse the body and reject / error out
/// in case of a structural mismatch.
bool ActOnDuplicateDefinition(DeclSpec &DS, Decl *Prev,
SkipBodyInfo &SkipBody);
typedef void *SkippedDefinitionContext;
/// Invoked when we enter a tag definition that we're skipping.
SkippedDefinitionContext ActOnTagStartSkippedDefinition(Scope *S, Decl *TD);
Decl *ActOnObjCContainerStartDefinition(Decl *IDecl);
/// ActOnStartCXXMemberDeclarations - Invoked when we have parsed a
/// C++ record definition's base-specifiers clause and are starting its
/// member declarations.
void ActOnStartCXXMemberDeclarations(Scope *S, Decl *TagDecl,
SourceLocation FinalLoc,
bool IsFinalSpelledSealed,
SourceLocation LBraceLoc);
/// ActOnTagFinishDefinition - Invoked once we have finished parsing
/// the definition of a tag (enumeration, class, struct, or union).
void ActOnTagFinishDefinition(Scope *S, Decl *TagDecl,
SourceRange BraceRange);
void ActOnTagFinishSkippedDefinition(SkippedDefinitionContext Context);
void ActOnObjCContainerFinishDefinition();
/// Invoked when we must temporarily exit the objective-c container
/// scope for parsing/looking-up C constructs.
///
/// Must be followed by a call to \see ActOnObjCReenterContainerContext
void ActOnObjCTemporaryExitContainerContext(DeclContext *DC);
void ActOnObjCReenterContainerContext(DeclContext *DC);
/// ActOnTagDefinitionError - Invoked when there was an unrecoverable
/// error parsing the definition of a tag.
void ActOnTagDefinitionError(Scope *S, Decl *TagDecl);
EnumConstantDecl *CheckEnumConstant(EnumDecl *Enum,
EnumConstantDecl *LastEnumConst,
SourceLocation IdLoc,
IdentifierInfo *Id,
Expr *val);
bool CheckEnumUnderlyingType(TypeSourceInfo *TI);
bool CheckEnumRedeclaration(SourceLocation EnumLoc, bool IsScoped,
QualType EnumUnderlyingTy, bool IsFixed,
const EnumDecl *Prev);
/// Determine whether the body of an anonymous enumeration should be skipped.
/// \param II The name of the first enumerator.
SkipBodyInfo shouldSkipAnonEnumBody(Scope *S, IdentifierInfo *II,
SourceLocation IILoc);
Decl *ActOnEnumConstant(Scope *S, Decl *EnumDecl, Decl *LastEnumConstant,
SourceLocation IdLoc, IdentifierInfo *Id,
const ParsedAttributesView &Attrs,
SourceLocation EqualLoc, Expr *Val);
void ActOnEnumBody(SourceLocation EnumLoc, SourceRange BraceRange,
Decl *EnumDecl, ArrayRef<Decl *> Elements, Scope *S,
const ParsedAttributesView &Attr);
DeclContext *getContainingDC(DeclContext *DC);
/// Set the current declaration context until it gets popped.
void PushDeclContext(Scope *S, DeclContext *DC);
void PopDeclContext();
/// EnterDeclaratorContext - Used when we must lookup names in the context
/// of a declarator's nested name specifier.
void EnterDeclaratorContext(Scope *S, DeclContext *DC);
void ExitDeclaratorContext(Scope *S);
/// Push the parameters of D, which must be a function, into scope.
void ActOnReenterFunctionContext(Scope* S, Decl* D);
void ActOnExitFunctionContext();
DeclContext *getFunctionLevelDeclContext();
/// getCurFunctionDecl - If inside of a function body, this returns a pointer
/// to the function decl for the function being parsed. If we're currently
/// in a 'block', this returns the containing context.
FunctionDecl *getCurFunctionDecl();
/// getCurMethodDecl - If inside of a method body, this returns a pointer to
/// the method decl for the method being parsed. If we're currently
/// in a 'block', this returns the containing context.
ObjCMethodDecl *getCurMethodDecl();
/// getCurFunctionOrMethodDecl - Return the Decl for the current ObjC method
/// or C function we're in, otherwise return null. If we're currently
/// in a 'block', this returns the containing context.
NamedDecl *getCurFunctionOrMethodDecl();
/// Add this decl to the scope shadowed decl chains.
void PushOnScopeChains(NamedDecl *D, Scope *S, bool AddToContext = true);
/// Make the given externally-produced declaration visible at the
/// top level scope.
///
/// \param D The externally-produced declaration to push.
///
/// \param Name The name of the externally-produced declaration.
void pushExternalDeclIntoScope(NamedDecl *D, DeclarationName Name);
/// isDeclInScope - If 'Ctx' is a function/method, isDeclInScope returns true
/// if 'D' is in Scope 'S', otherwise 'S' is ignored and isDeclInScope returns
/// true if 'D' belongs to the given declaration context.
///
/// \param AllowInlineNamespace If \c true, allow the declaration to be in the
/// enclosing namespace set of the context, rather than contained
/// directly within it.
bool isDeclInScope(NamedDecl *D, DeclContext *Ctx, Scope *S = nullptr,
bool AllowInlineNamespace = false);
/// Finds the scope corresponding to the given decl context, if it
/// happens to be an enclosing scope. Otherwise return NULL.
static Scope *getScopeForDeclContext(Scope *S, DeclContext *DC);
/// Subroutines of ActOnDeclarator().
TypedefDecl *ParseTypedefDecl(Scope *S, Declarator &D, QualType T,
TypeSourceInfo *TInfo);
bool isIncompatibleTypedef(TypeDecl *Old, TypedefNameDecl *New);
/// Describes the kind of merge to perform for availability
/// attributes (including "deprecated", "unavailable", and "availability").
enum AvailabilityMergeKind {
/// Don't merge availability attributes at all.
AMK_None,
/// Merge availability attributes for a redeclaration, which requires
/// an exact match.
AMK_Redeclaration,
/// Merge availability attributes for an override, which requires
/// an exact match or a weakening of constraints.
AMK_Override,
/// Merge availability attributes for an implementation of
/// a protocol requirement.
AMK_ProtocolImplementation,
};
/// Describes the kind of priority given to an availability attribute.
///
/// The sum of priorities deteremines the final priority of the attribute.
/// The final priority determines how the attribute will be merged.
/// An attribute with a lower priority will always remove higher priority
/// attributes for the specified platform when it is being applied. An
/// attribute with a higher priority will not be applied if the declaration
/// already has an availability attribute with a lower priority for the
/// specified platform. The final prirority values are not expected to match
/// the values in this enumeration, but instead should be treated as a plain
/// integer value. This enumeration just names the priority weights that are
/// used to calculate that final vaue.
enum AvailabilityPriority : int {
/// The availability attribute was specified explicitly next to the
/// declaration.
AP_Explicit = 0,
/// The availability attribute was applied using '#pragma clang attribute'.
AP_PragmaClangAttribute = 1,
/// The availability attribute for a specific platform was inferred from
/// an availability attribute for another platform.
AP_InferredFromOtherPlatform = 2
};
/// Attribute merging methods. Return true if a new attribute was added.
AvailabilityAttr *mergeAvailabilityAttr(
NamedDecl *D, SourceRange Range, IdentifierInfo *Platform, bool Implicit,
VersionTuple Introduced, VersionTuple Deprecated, VersionTuple Obsoleted,
bool IsUnavailable, StringRef Message, bool IsStrict,
StringRef Replacement, AvailabilityMergeKind AMK, int Priority,
unsigned AttrSpellingListIndex);
TypeVisibilityAttr *mergeTypeVisibilityAttr(Decl *D, SourceRange Range,
TypeVisibilityAttr::VisibilityType Vis,
unsigned AttrSpellingListIndex);
VisibilityAttr *mergeVisibilityAttr(Decl *D, SourceRange Range,
VisibilityAttr::VisibilityType Vis,
unsigned AttrSpellingListIndex);
UuidAttr *mergeUuidAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex, StringRef Uuid);
DLLImportAttr *mergeDLLImportAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
DLLExportAttr *mergeDLLExportAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
MSInheritanceAttr *
mergeMSInheritanceAttr(Decl *D, SourceRange Range, bool BestCase,
unsigned AttrSpellingListIndex,
MSInheritanceAttr::Spelling SemanticSpelling);
FormatAttr *mergeFormatAttr(Decl *D, SourceRange Range,
IdentifierInfo *Format, int FormatIdx,
int FirstArg, unsigned AttrSpellingListIndex);
SectionAttr *mergeSectionAttr(Decl *D, SourceRange Range, StringRef Name,
unsigned AttrSpellingListIndex);
CodeSegAttr *mergeCodeSegAttr(Decl *D, SourceRange Range, StringRef Name,
unsigned AttrSpellingListIndex);
AlwaysInlineAttr *mergeAlwaysInlineAttr(Decl *D, SourceRange Range,
IdentifierInfo *Ident,
unsigned AttrSpellingListIndex);
MinSizeAttr *mergeMinSizeAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
NoSpeculativeLoadHardeningAttr *
mergeNoSpeculativeLoadHardeningAttr(Decl *D,
const NoSpeculativeLoadHardeningAttr &AL);
SpeculativeLoadHardeningAttr *
mergeSpeculativeLoadHardeningAttr(Decl *D,
const SpeculativeLoadHardeningAttr &AL);
OptimizeNoneAttr *mergeOptimizeNoneAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D, const ParsedAttr &AL);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D,
const InternalLinkageAttr &AL);
CommonAttr *mergeCommonAttr(Decl *D, const ParsedAttr &AL);
CommonAttr *mergeCommonAttr(Decl *D, const CommonAttr &AL);
void mergeDeclAttributes(NamedDecl *New, Decl *Old,
AvailabilityMergeKind AMK = AMK_Redeclaration);
void MergeTypedefNameDecl(Scope *S, TypedefNameDecl *New,
LookupResult &OldDecls);
bool MergeFunctionDecl(FunctionDecl *New, NamedDecl *&Old, Scope *S,
bool MergeTypeWithOld);
bool MergeCompatibleFunctionDecls(FunctionDecl *New, FunctionDecl *Old,
Scope *S, bool MergeTypeWithOld);
void mergeObjCMethodDecls(ObjCMethodDecl *New, ObjCMethodDecl *Old);
void MergeVarDecl(VarDecl *New, LookupResult &Previous);
void MergeVarDeclTypes(VarDecl *New, VarDecl *Old, bool MergeTypeWithOld);
void MergeVarDeclExceptionSpecs(VarDecl *New, VarDecl *Old);
bool checkVarDeclRedefinition(VarDecl *OldDefn, VarDecl *NewDefn);
void notePreviousDefinition(const NamedDecl *Old, SourceLocation New);
bool MergeCXXFunctionDecl(FunctionDecl *New, FunctionDecl *Old, Scope *S);
// AssignmentAction - This is used by all the assignment diagnostic functions
// to represent what is actually causing the operation
enum AssignmentAction {
AA_Assigning,
AA_Passing,
AA_Returning,
AA_Converting,
AA_Initializing,
AA_Sending,
AA_Casting,
AA_Passing_CFAudited
};
/// C++ Overloading.
enum OverloadKind {
/// This is a legitimate overload: the existing declarations are
/// functions or function templates with different signatures.
Ovl_Overload,
/// This is not an overload because the signature exactly matches
/// an existing declaration.
Ovl_Match,
/// This is not an overload because the lookup results contain a
/// non-function.
Ovl_NonFunction
};
OverloadKind CheckOverload(Scope *S,
FunctionDecl *New,
const LookupResult &OldDecls,
NamedDecl *&OldDecl,
bool IsForUsingDecl);
bool IsOverload(FunctionDecl *New, FunctionDecl *Old, bool IsForUsingDecl,
bool ConsiderCudaAttrs = true);
/// Checks availability of the function depending on the current
/// function context.Inside an unavailable function,unavailability is ignored.
///
/// \returns true if \p FD is unavailable and current context is inside
/// an available function, false otherwise.
bool isFunctionConsideredUnavailable(FunctionDecl *FD);
ImplicitConversionSequence
TryImplicitConversion(Expr *From, QualType ToType,
bool SuppressUserConversions,
bool AllowExplicit,
bool InOverloadResolution,
bool CStyle,
bool AllowObjCWritebackConversion);
bool IsIntegralPromotion(Expr *From, QualType FromType, QualType ToType);
bool IsFloatingPointPromotion(QualType FromType, QualType ToType);
bool IsComplexPromotion(QualType FromType, QualType ToType);
bool IsPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCWritebackConversion(QualType FromType, QualType ToType,
QualType &ConvertedType);
bool IsBlockPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType);
bool FunctionParamTypesAreEqual(const FunctionProtoType *OldType,
const FunctionProtoType *NewType,
unsigned *ArgPos = nullptr);
void HandleFunctionTypeMismatch(PartialDiagnostic &PDiag,
QualType FromType, QualType ToType);
void maybeExtendBlockObject(ExprResult &E);
CastKind PrepareCastToObjCObjectPointer(ExprResult &E);
bool CheckPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath& BasePath,
bool IgnoreBaseAccess,
bool Diagnose = true);
bool IsMemberPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType &ConvertedType);
bool CheckMemberPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath &BasePath,
bool IgnoreBaseAccess);
bool IsQualificationConversion(QualType FromType, QualType ToType,
bool CStyle, bool &ObjCLifetimeConversion);
bool IsFunctionConversion(QualType FromType, QualType ToType,
QualType &ResultTy);
bool DiagnoseMultipleUserDefinedConversion(Expr *From, QualType ToType);
bool isSameOrCompatibleFunctionType(CanQualType Param, CanQualType Arg);
ExprResult PerformMoveOrCopyInitialization(const InitializedEntity &Entity,
const VarDecl *NRVOCandidate,
QualType ResultType,
Expr *Value,
bool AllowNRVO = true);
bool CanPerformCopyInitialization(const InitializedEntity &Entity,
ExprResult Init);
ExprResult PerformCopyInitialization(const InitializedEntity &Entity,
SourceLocation EqualLoc,
ExprResult Init,
bool TopLevelOfInitList = false,
bool AllowExplicit = false);
ExprResult PerformObjectArgumentInitialization(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
CXXMethodDecl *Method);
/// Check that the lifetime of the initializer (and its subobjects) is
/// sufficient for initializing the entity, and perform lifetime extension
/// (when permitted) if not.
void checkInitializerLifetime(const InitializedEntity &Entity, Expr *Init);
ExprResult PerformContextuallyConvertToBool(Expr *From);
ExprResult PerformContextuallyConvertToObjCPointer(Expr *From);
/// Contexts in which a converted constant expression is required.
enum CCEKind {
CCEK_CaseValue, ///< Expression in a case label.
CCEK_Enumerator, ///< Enumerator value with fixed underlying type.
CCEK_TemplateArg, ///< Value of a non-type template parameter.
CCEK_NewExpr, ///< Constant expression in a noptr-new-declarator.
CCEK_ConstexprIf ///< Condition in a constexpr if statement.
};
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
llvm::APSInt &Value, CCEKind CCE);
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
APValue &Value, CCEKind CCE);
/// Abstract base class used to perform a contextual implicit
/// conversion from an expression to any type passing a filter.
class ContextualImplicitConverter {
public:
bool Suppress;
bool SuppressConversion;
ContextualImplicitConverter(bool Suppress = false,
bool SuppressConversion = false)
: Suppress(Suppress), SuppressConversion(SuppressConversion) {}
/// Determine whether the specified type is a valid destination type
/// for this conversion.
virtual bool match(QualType T) = 0;
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the expression has incomplete class type.
virtual SemaDiagnosticBuilder
diagnoseIncomplete(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the only matching conversion function
/// is explicit.
virtual SemaDiagnosticBuilder diagnoseExplicitConv(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
/// Emits a note for the explicit conversion function.
virtual SemaDiagnosticBuilder
noteExplicitConv(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when there are multiple possible conversion
/// functions.
virtual SemaDiagnosticBuilder
diagnoseAmbiguous(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a note for one of the candidate conversions.
virtual SemaDiagnosticBuilder
noteAmbiguous(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when we picked a conversion function
/// (for cases when we are not allowed to pick a conversion function).
virtual SemaDiagnosticBuilder diagnoseConversion(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
virtual ~ContextualImplicitConverter() {}
};
class ICEConvertDiagnoser : public ContextualImplicitConverter {
bool AllowScopedEnumerations;
public:
ICEConvertDiagnoser(bool AllowScopedEnumerations,
bool Suppress, bool SuppressConversion)
: ContextualImplicitConverter(Suppress, SuppressConversion),
AllowScopedEnumerations(AllowScopedEnumerations) {}
/// Match an integral or (possibly scoped) enumeration type.
bool match(QualType T) override;
SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) override {
return diagnoseNotInt(S, Loc, T);
}
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNotInt(Sema &S, SourceLocation Loc, QualType T) = 0;
};
/// Perform a contextual implicit conversion.
ExprResult PerformContextualImplicitConversion(
SourceLocation Loc, Expr *FromE, ContextualImplicitConverter &Converter);
enum ObjCSubscriptKind {
OS_Array,
OS_Dictionary,
OS_Error
};
ObjCSubscriptKind CheckSubscriptingKind(Expr *FromE);
// Note that LK_String is intentionally after the other literals, as
// this is used for diagnostics logic.
enum ObjCLiteralKind {
LK_Array,
LK_Dictionary,
LK_Numeric,
LK_Boxed,
LK_String,
LK_Block,
LK_None
};
ObjCLiteralKind CheckLiteralKind(Expr *FromE);
ExprResult PerformObjectMemberConversion(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
NamedDecl *Member);
// Members have to be NamespaceDecl* or TranslationUnitDecl*.
// TODO: make this is a typesafe union.
typedef llvm::SmallSetVector<DeclContext *, 16> AssociatedNamespaceSet;
typedef llvm::SmallSetVector<CXXRecordDecl *, 16> AssociatedClassSet;
using ADLCallKind = CallExpr::ADLCallKind;
void AddOverloadCandidate(FunctionDecl *Function, DeclAccessPair FoundDecl,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool AllowExplicit = false,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL,
ConversionSequenceList EarlyConversions = None);
void AddFunctionCandidates(const UnresolvedSetImpl &Functions,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool FirstArgumentIsBase = false);
void AddMethodCandidate(DeclAccessPair FoundDecl,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversion = false);
void AddMethodCandidate(CXXMethodDecl *Method,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
ConversionSequenceList EarlyConversions = None);
void AddMethodTemplateCandidate(FunctionTemplateDecl *MethodTmpl,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
void AddTemplateOverloadCandidate(
FunctionTemplateDecl *FunctionTemplate, DeclAccessPair FoundDecl,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet, bool SuppressUserConversions = false,
bool PartialOverloading = false,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL);
bool CheckNonDependentConversions(FunctionTemplateDecl *FunctionTemplate,
ArrayRef<QualType> ParamTypes,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
ConversionSequenceList &Conversions,
bool SuppressUserConversions,
CXXRecordDecl *ActingContext = nullptr,
QualType ObjectType = QualType(),
Expr::Classification
ObjectClassification = {});
void AddConversionCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
Expr *From, QualType ToType,
OverloadCandidateSet& CandidateSet,
bool AllowObjCConversionOnExplicit,
bool AllowResultConversion = true);
void AddTemplateConversionCandidate(FunctionTemplateDecl *FunctionTemplate,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet,
bool AllowObjCConversionOnExplicit,
bool AllowResultConversion = true);
void AddSurrogateCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
const FunctionProtoType *Proto,
Expr *Object, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddMemberOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
SourceRange OpRange = SourceRange());
void AddBuiltinCandidate(QualType *ParamTys, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool IsAssignmentOperator = false,
unsigned NumContextualBoolArguments = 0);
void AddBuiltinOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddArgumentDependentLookupCandidates(DeclarationName Name,
SourceLocation Loc,
ArrayRef<Expr *> Args,
TemplateArgumentListInfo *ExplicitTemplateArgs,
OverloadCandidateSet& CandidateSet,
bool PartialOverloading = false);
// Emit as a 'note' the specific overload candidate
void NoteOverloadCandidate(NamedDecl *Found, FunctionDecl *Fn,
QualType DestType = QualType(),
bool TakingAddress = false);
// Emit as a series of 'note's all template and non-templates identified by
// the expression Expr
void NoteAllOverloadCandidates(Expr *E, QualType DestType = QualType(),
bool TakingAddress = false);
/// Check the enable_if expressions on the given function. Returns the first
/// failing attribute, or NULL if they were all successful.
EnableIfAttr *CheckEnableIf(FunctionDecl *Function, ArrayRef<Expr *> Args,
bool MissingImplicitThis = false);
/// Find the failed Boolean condition within a given Boolean
/// constant expression, and describe it with a string.
std::pair<Expr *, std::string> findFailedBooleanCondition(Expr *Cond);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// non-ArgDependent DiagnoseIfAttrs.
///
/// Argument-dependent diagnose_if attributes should be checked each time a
/// function is used as a direct callee of a function call.
///
/// Returns true if any errors were emitted.
bool diagnoseArgDependentDiagnoseIfAttrs(const FunctionDecl *Function,
const Expr *ThisArg,
ArrayRef<const Expr *> Args,
SourceLocation Loc);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// ArgDependent DiagnoseIfAttrs.
///
/// Argument-independent diagnose_if attributes should be checked on every use
/// of a function.
///
/// Returns true if any errors were emitted.
bool diagnoseArgIndependentDiagnoseIfAttrs(const NamedDecl *ND,
SourceLocation Loc);
/// Returns whether the given function's address can be taken or not,
/// optionally emitting a diagnostic if the address can't be taken.
///
/// Returns false if taking the address of the function is illegal.
bool checkAddressOfFunctionIsAvailable(const FunctionDecl *Function,
bool Complain = false,
SourceLocation Loc = SourceLocation());
// [PossiblyAFunctionType] --> [Return]
// NonFunctionType --> NonFunctionType
// R (A) --> R(A)
// R (*)(A) --> R (A)
// R (&)(A) --> R (A)
// R (S::*)(A) --> R (A)
QualType ExtractUnqualifiedFunctionType(QualType PossiblyAFunctionType);
FunctionDecl *
ResolveAddressOfOverloadedFunction(Expr *AddressOfExpr,
QualType TargetType,
bool Complain,
DeclAccessPair &Found,
bool *pHadMultipleCandidates = nullptr);
FunctionDecl *
resolveAddressOfOnlyViableOverloadCandidate(Expr *E,
DeclAccessPair &FoundResult);
bool resolveAndFixAddressOfOnlyViableOverloadCandidate(
ExprResult &SrcExpr, bool DoFunctionPointerConversion = false);
FunctionDecl *
ResolveSingleFunctionTemplateSpecialization(OverloadExpr *ovl,
bool Complain = false,
DeclAccessPair *Found = nullptr);
bool ResolveAndFixSingleFunctionTemplateSpecialization(
ExprResult &SrcExpr,
bool DoFunctionPointerConverion = false,
bool Complain = false,
SourceRange OpRangeForComplaining = SourceRange(),
QualType DestTypeForComplaining = QualType(),
unsigned DiagIDForComplaining = 0);
Expr *FixOverloadedFunctionReference(Expr *E,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
ExprResult FixOverloadedFunctionReference(ExprResult,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
void AddOverloadedCallCandidates(UnresolvedLookupExpr *ULE,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool PartialOverloading = false);
// An enum used to represent the different possible results of building a
// range-based for loop.
enum ForRangeStatus {
FRS_Success,
FRS_NoViableFunction,
FRS_DiagnosticIssued
};
ForRangeStatus BuildForRangeBeginEndCall(SourceLocation Loc,
SourceLocation RangeLoc,
const DeclarationNameInfo &NameInfo,
LookupResult &MemberLookup,
OverloadCandidateSet *CandidateSet,
Expr *Range, ExprResult *CallExpr);
ExprResult BuildOverloadedCallExpr(Scope *S, Expr *Fn,
UnresolvedLookupExpr *ULE,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc,
Expr *ExecConfig,
bool AllowTypoCorrection=true,
bool CalleesAddressIsTaken=false);
bool buildOverloadedCallSet(Scope *S, Expr *Fn, UnresolvedLookupExpr *ULE,
MultiExprArg Args, SourceLocation RParenLoc,
OverloadCandidateSet *CandidateSet,
ExprResult *Result);
ExprResult CreateOverloadedUnaryOp(SourceLocation OpLoc,
UnaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *input, bool RequiresADL = true);
ExprResult CreateOverloadedBinOp(SourceLocation OpLoc,
BinaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS,
bool RequiresADL = true);
ExprResult CreateOverloadedArraySubscriptExpr(SourceLocation LLoc,
SourceLocation RLoc,
Expr *Base,Expr *Idx);
ExprResult
BuildCallToMemberFunction(Scope *S, Expr *MemExpr,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult
BuildCallToObjectOfClassType(Scope *S, Expr *Object, SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult BuildOverloadedArrowExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
bool *NoArrowOperatorFound = nullptr);
/// CheckCallReturnType - Checks that a call expression's return type is
/// complete. Returns true on failure. The location passed in is the location
/// that best represents the call.
bool CheckCallReturnType(QualType ReturnType, SourceLocation Loc,
CallExpr *CE, FunctionDecl *FD);
/// Helpers for dealing with blocks and functions.
bool CheckParmsForFunctionDef(ArrayRef<ParmVarDecl *> Parameters,
bool CheckParameterNames);
void CheckCXXDefaultArguments(FunctionDecl *FD);
void CheckExtraCXXDefaultArguments(Declarator &D);
Scope *getNonFieldDeclScope(Scope *S);
/// \name Name lookup
///
/// These routines provide name lookup that is used during semantic
/// analysis to resolve the various kinds of names (identifiers,
/// overloaded operator names, constructor names, etc.) into zero or
/// more declarations within a particular scope. The major entry
/// points are LookupName, which performs unqualified name lookup,
/// and LookupQualifiedName, which performs qualified name lookup.
///
/// All name lookup is performed based on some specific criteria,
/// which specify what names will be visible to name lookup and how
/// far name lookup should work. These criteria are important both
/// for capturing language semantics (certain lookups will ignore
/// certain names, for example) and for performance, since name
/// lookup is often a bottleneck in the compilation of C++. Name
/// lookup criteria is specified via the LookupCriteria enumeration.
///
/// The results of name lookup can vary based on the kind of name
/// lookup performed, the current language, and the translation
/// unit. In C, for example, name lookup will either return nothing
/// (no entity found) or a single declaration. In C++, name lookup
/// can additionally refer to a set of overloaded functions or
/// result in an ambiguity. All of the possible results of name
/// lookup are captured by the LookupResult class, which provides
/// the ability to distinguish among them.
//@{
/// Describes the kind of name lookup to perform.
enum LookupNameKind {
/// Ordinary name lookup, which finds ordinary names (functions,
/// variables, typedefs, etc.) in C and most kinds of names
/// (functions, variables, members, types, etc.) in C++.
LookupOrdinaryName = 0,
/// Tag name lookup, which finds the names of enums, classes,
/// structs, and unions.
LookupTagName,
/// Label name lookup.
LookupLabel,
/// Member name lookup, which finds the names of
/// class/struct/union members.
LookupMemberName,
/// Look up of an operator name (e.g., operator+) for use with
/// operator overloading. This lookup is similar to ordinary name
/// lookup, but will ignore any declarations that are class members.
LookupOperatorName,
/// Look up of a name that precedes the '::' scope resolution
/// operator in C++. This lookup completely ignores operator, object,
/// function, and enumerator names (C++ [basic.lookup.qual]p1).
LookupNestedNameSpecifierName,
/// Look up a namespace name within a C++ using directive or
/// namespace alias definition, ignoring non-namespace names (C++
/// [basic.lookup.udir]p1).
LookupNamespaceName,
/// Look up all declarations in a scope with the given name,
/// including resolved using declarations. This is appropriate
/// for checking redeclarations for a using declaration.
LookupUsingDeclName,
/// Look up an ordinary name that is going to be redeclared as a
/// name with linkage. This lookup ignores any declarations that
/// are outside of the current scope unless they have linkage. See
/// C99 6.2.2p4-5 and C++ [basic.link]p6.
LookupRedeclarationWithLinkage,
/// Look up a friend of a local class. This lookup does not look
/// outside the innermost non-class scope. See C++11 [class.friend]p11.
LookupLocalFriendName,
/// Look up the name of an Objective-C protocol.
LookupObjCProtocolName,
/// Look up implicit 'self' parameter of an objective-c method.
LookupObjCImplicitSelfParam,
/// Look up the name of an OpenMP user-defined reduction operation.
LookupOMPReductionName,
/// Look up the name of an OpenMP user-defined mapper.
LookupOMPMapperName,
/// Look up any declaration with any name.
LookupAnyName
};
/// Specifies whether (or how) name lookup is being performed for a
/// redeclaration (vs. a reference).
enum RedeclarationKind {
/// The lookup is a reference to this name that is not for the
/// purpose of redeclaring the name.
NotForRedeclaration = 0,
/// The lookup results will be used for redeclaration of a name,
/// if an entity by that name already exists and is visible.
ForVisibleRedeclaration,
/// The lookup results will be used for redeclaration of a name
/// with external linkage; non-visible lookup results with external linkage
/// may also be found.
ForExternalRedeclaration
};
RedeclarationKind forRedeclarationInCurContext() {
// A declaration with an owning module for linkage can never link against
// anything that is not visible. We don't need to check linkage here; if
// the context has internal linkage, redeclaration lookup won't find things
// from other TUs, and we can't safely compute linkage yet in general.
if (cast<Decl>(CurContext)
->getOwningModuleForLinkage(/*IgnoreLinkage*/true))
return ForVisibleRedeclaration;
return ForExternalRedeclaration;
}
/// The possible outcomes of name lookup for a literal operator.
enum LiteralOperatorLookupResult {
/// The lookup resulted in an error.
LOLR_Error,
/// The lookup found no match but no diagnostic was issued.
LOLR_ErrorNoDiagnostic,
/// The lookup found a single 'cooked' literal operator, which
/// expects a normal literal to be built and passed to it.
LOLR_Cooked,
/// The lookup found a single 'raw' literal operator, which expects
/// a string literal containing the spelling of the literal token.
LOLR_Raw,
/// The lookup found an overload set of literal operator templates,
/// which expect the characters of the spelling of the literal token to be
/// passed as a non-type template argument pack.
LOLR_Template,
/// The lookup found an overload set of literal operator templates,
/// which expect the character type and characters of the spelling of the
/// string literal token to be passed as template arguments.
LOLR_StringTemplate
};
SpecialMemberOverloadResult LookupSpecialMember(CXXRecordDecl *D,
CXXSpecialMember SM,
bool ConstArg,
bool VolatileArg,
bool RValueThis,
bool ConstThis,
bool VolatileThis);
typedef std::function<void(const TypoCorrection &)> TypoDiagnosticGenerator;
typedef std::function<ExprResult(Sema &, TypoExpr *, TypoCorrection)>
TypoRecoveryCallback;
private:
bool CppLookupName(LookupResult &R, Scope *S);
struct TypoExprState {
std::unique_ptr<TypoCorrectionConsumer> Consumer;
TypoDiagnosticGenerator DiagHandler;
TypoRecoveryCallback RecoveryHandler;
TypoExprState();
TypoExprState(TypoExprState &&other) noexcept;
TypoExprState &operator=(TypoExprState &&other) noexcept;
};
/// The set of unhandled TypoExprs and their associated state.
llvm::MapVector<TypoExpr *, TypoExprState> DelayedTypos;
/// Creates a new TypoExpr AST node.
TypoExpr *createDelayedTypo(std::unique_ptr<TypoCorrectionConsumer> TCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC);
// The set of known/encountered (unique, canonicalized) NamespaceDecls.
//
// The boolean value will be true to indicate that the namespace was loaded
// from an AST/PCH file, or false otherwise.
llvm::MapVector<NamespaceDecl*, bool> KnownNamespaces;
/// Whether we have already loaded known namespaces from an extenal
/// source.
bool LoadedExternalKnownNamespaces;
/// Helper for CorrectTypo and CorrectTypoDelayed used to create and
/// populate a new TypoCorrectionConsumer. Returns nullptr if typo correction
/// should be skipped entirely.
std::unique_ptr<TypoCorrectionConsumer>
makeTypoCorrectionConsumer(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
DeclContext *MemberContext, bool EnteringContext,
const ObjCObjectPointerType *OPT,
bool ErrorRecovery);
public:
const TypoExprState &getTypoExprState(TypoExpr *TE) const;
/// Clears the state of the given TypoExpr.
void clearDelayedTypo(TypoExpr *TE);
/// Look up a name, looking for a single declaration. Return
/// null if the results were absent, ambiguous, or overloaded.
///
/// It is preferable to use the elaborated form and explicitly handle
/// ambiguity and overloaded.
NamedDecl *LookupSingleName(Scope *S, DeclarationName Name,
SourceLocation Loc,
LookupNameKind NameKind,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupName(LookupResult &R, Scope *S,
bool AllowBuiltinCreation = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
bool InUnqualifiedLookup = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
CXXScopeSpec &SS);
bool LookupParsedName(LookupResult &R, Scope *S, CXXScopeSpec *SS,
bool AllowBuiltinCreation = false,
bool EnteringContext = false);
ObjCProtocolDecl *LookupProtocol(IdentifierInfo *II, SourceLocation IdLoc,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupInSuper(LookupResult &R, CXXRecordDecl *Class);
void LookupOverloadedOperatorName(OverloadedOperatorKind Op, Scope *S,
QualType T1, QualType T2,
UnresolvedSetImpl &Functions);
LabelDecl *LookupOrCreateLabel(IdentifierInfo *II, SourceLocation IdentLoc,
SourceLocation GnuLabelLoc = SourceLocation());
DeclContextLookupResult LookupConstructors(CXXRecordDecl *Class);
CXXConstructorDecl *LookupDefaultConstructor(CXXRecordDecl *Class);
CXXConstructorDecl *LookupCopyingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupCopyingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXConstructorDecl *LookupMovingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupMovingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXDestructorDecl *LookupDestructor(CXXRecordDecl *Class);
bool checkLiteralOperatorId(const CXXScopeSpec &SS, const UnqualifiedId &Id);
LiteralOperatorLookupResult LookupLiteralOperator(Scope *S, LookupResult &R,
ArrayRef<QualType> ArgTys,
bool AllowRaw,
bool AllowTemplate,
bool AllowStringTemplate,
bool DiagnoseMissing);
bool isKnownName(StringRef name);
void ArgumentDependentLookup(DeclarationName Name, SourceLocation Loc,
ArrayRef<Expr *> Args, ADLResult &Functions);
void LookupVisibleDecls(Scope *S, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool LoadExternal = true);
void LookupVisibleDecls(DeclContext *Ctx, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool IncludeDependentBases = false,
bool LoadExternal = true);
enum CorrectTypoKind {
CTK_NonError, // CorrectTypo used in a non error recovery situation.
CTK_ErrorRecovery // CorrectTypo used in normal error recovery.
};
TypoCorrection CorrectTypo(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind,
Scope *S, CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr,
bool RecordFailure = true);
TypoExpr *CorrectTypoDelayed(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr);
/// Process any TypoExprs in the given Expr and its children,
/// generating diagnostics as appropriate and returning a new Expr if there
/// were typos that were all successfully corrected and ExprError if one or
/// more typos could not be corrected.
///
/// \param E The Expr to check for TypoExprs.
///
/// \param InitDecl A VarDecl to avoid because the Expr being corrected is its
/// initializer.
///
/// \param Filter A function applied to a newly rebuilt Expr to determine if
/// it is an acceptable/usable result from a single combination of typo
/// corrections. As long as the filter returns ExprError, different
/// combinations of corrections will be tried until all are exhausted.
ExprResult
CorrectDelayedTyposInExpr(Expr *E, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; });
ExprResult
CorrectDelayedTyposInExpr(Expr *E,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(E, nullptr, Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; }) {
return ER.isInvalid() ? ER : CorrectDelayedTyposInExpr(ER.get(), Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(ER, nullptr, Filter);
}
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
bool ErrorRecovery = true);
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
const PartialDiagnostic &PrevNote,
bool ErrorRecovery = true);
void MarkTypoCorrectedFunctionDefinition(const NamedDecl *F);
void FindAssociatedClassesAndNamespaces(SourceLocation InstantiationLoc,
ArrayRef<Expr *> Args,
AssociatedNamespaceSet &AssociatedNamespaces,
AssociatedClassSet &AssociatedClasses);
void FilterLookupForScope(LookupResult &R, DeclContext *Ctx, Scope *S,
bool ConsiderLinkage, bool AllowInlineNamespace);
bool CheckRedeclarationModuleOwnership(NamedDecl *New, NamedDecl *Old);
void DiagnoseAmbiguousLookup(LookupResult &Result);
//@}
ObjCInterfaceDecl *getObjCInterfaceDecl(IdentifierInfo *&Id,
SourceLocation IdLoc,
bool TypoCorrection = false);
NamedDecl *LazilyCreateBuiltin(IdentifierInfo *II, unsigned ID,
Scope *S, bool ForRedeclaration,
SourceLocation Loc);
NamedDecl *ImplicitlyDefineFunction(SourceLocation Loc, IdentifierInfo &II,
Scope *S);
void AddKnownFunctionAttributes(FunctionDecl *FD);
// More parsing and symbol table subroutines.
void ProcessPragmaWeak(Scope *S, Decl *D);
// Decl attributes - this routine is the top level dispatcher.
void ProcessDeclAttributes(Scope *S, Decl *D, const Declarator &PD);
// Helper for delayed processing of attributes.
void ProcessDeclAttributeDelayed(Decl *D,
const ParsedAttributesView &AttrList);
void ProcessDeclAttributeList(Scope *S, Decl *D, const ParsedAttributesView &AL,
bool IncludeCXX11Attributes = true);
bool ProcessAccessDeclAttributeList(AccessSpecDecl *ASDecl,
const ParsedAttributesView &AttrList);
void checkUnusedDeclAttributes(Declarator &D);
/// Determine if type T is a valid subject for a nonnull and similar
/// attributes. By default, we look through references (the behavior used by
/// nonnull), but if the second parameter is true, then we treat a reference
/// type as valid.
bool isValidPointerAttrType(QualType T, bool RefOkay = false);
bool CheckRegparmAttr(const ParsedAttr &attr, unsigned &value);
bool CheckCallingConvAttr(const ParsedAttr &attr, CallingConv &CC,
const FunctionDecl *FD = nullptr);
bool CheckAttrTarget(const ParsedAttr &CurrAttr);
bool CheckAttrNoArgs(const ParsedAttr &CurrAttr);
bool checkStringLiteralArgumentAttr(const ParsedAttr &Attr, unsigned ArgNum,
StringRef &Str,
SourceLocation *ArgLocation = nullptr);
bool checkSectionName(SourceLocation LiteralLoc, StringRef Str);
bool checkTargetAttr(SourceLocation LiteralLoc, StringRef Str);
bool checkMSInheritanceAttrOnDefinition(
CXXRecordDecl *RD, SourceRange Range, bool BestCase,
MSInheritanceAttr::Spelling SemanticSpelling);
void CheckAlignasUnderalignment(Decl *D);
/// Adjust the calling convention of a method to be the ABI default if it
/// wasn't specified explicitly. This handles method types formed from
/// function type typedefs and typename template arguments.
void adjustMemberFunctionCC(QualType &T, bool IsStatic, bool IsCtorOrDtor,
SourceLocation Loc);
// Check if there is an explicit attribute, but only look through parens.
// The intent is to look for an attribute on the current declarator, but not
// one that came from a typedef.
bool hasExplicitCallingConv(QualType &T);
/// Get the outermost AttributedType node that sets a calling convention.
/// Valid types should not have multiple attributes with different CCs.
const AttributedType *getCallingConvAttributedType(QualType T) const;
/// Stmt attributes - this routine is the top level dispatcher.
StmtResult ProcessStmtAttributes(Stmt *Stmt,
const ParsedAttributesView &Attrs,
SourceRange Range);
void WarnConflictingTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
void CheckConflictingOverridingMethod(ObjCMethodDecl *Method,
ObjCMethodDecl *Overridden,
bool IsProtocolMethodDecl);
/// WarnExactTypedMethods - This routine issues a warning if method
/// implementation declaration matches exactly that of its declaration.
void WarnExactTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
typedef llvm::SmallPtrSet<Selector, 8> SelectorSet;
/// CheckImplementationIvars - This routine checks if the instance variables
/// listed in the implelementation match those listed in the interface.
void CheckImplementationIvars(ObjCImplementationDecl *ImpDecl,
ObjCIvarDecl **Fields, unsigned nIvars,
SourceLocation Loc);
/// ImplMethodsVsClassMethods - This is main routine to warn if any method
/// remains unimplemented in the class or category \@implementation.
void ImplMethodsVsClassMethods(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool IncompleteImpl = false);
/// DiagnoseUnimplementedProperties - This routine warns on those properties
/// which must be implemented by this implementation.
void DiagnoseUnimplementedProperties(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl *CDecl,
bool SynthesizeProperties);
/// Diagnose any null-resettable synthesized setters.
void diagnoseNullResettableSynthesizedSetters(const ObjCImplDecl *impDecl);
/// DefaultSynthesizeProperties - This routine default synthesizes all
/// properties which must be synthesized in the class's \@implementation.
void DefaultSynthesizeProperties(Scope *S, ObjCImplDecl *IMPDecl,
ObjCInterfaceDecl *IDecl,
SourceLocation AtEnd);
void DefaultSynthesizeProperties(Scope *S, Decl *D, SourceLocation AtEnd);
/// IvarBacksCurrentMethodAccessor - This routine returns 'true' if 'IV' is
/// an ivar synthesized for 'Method' and 'Method' is a property accessor
/// declared in class 'IFace'.
bool IvarBacksCurrentMethodAccessor(ObjCInterfaceDecl *IFace,
ObjCMethodDecl *Method, ObjCIvarDecl *IV);
/// DiagnoseUnusedBackingIvarInAccessor - Issue an 'unused' warning if ivar which
/// backs the property is not used in the property's accessor.
void DiagnoseUnusedBackingIvarInAccessor(Scope *S,
const ObjCImplementationDecl *ImplD);
/// GetIvarBackingPropertyAccessor - If method is a property setter/getter and
/// it property has a backing ivar, returns this ivar; otherwise, returns NULL.
/// It also returns ivar's property on success.
ObjCIvarDecl *GetIvarBackingPropertyAccessor(const ObjCMethodDecl *Method,
const ObjCPropertyDecl *&PDecl) const;
/// Called by ActOnProperty to handle \@property declarations in
/// class extensions.
ObjCPropertyDecl *HandlePropertyInClassExtension(Scope *S,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
unsigned &Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind);
/// Called by ActOnProperty and HandlePropertyInClassExtension to
/// handle creating the ObjcPropertyDecl for a category or \@interface.
ObjCPropertyDecl *CreatePropertyDecl(Scope *S,
ObjCContainerDecl *CDecl,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
const unsigned Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
/// AtomicPropertySetterGetterRules - This routine enforces the rule (via
/// warning) when atomic property has one but not the other user-declared
/// setter or getter.
void AtomicPropertySetterGetterRules(ObjCImplDecl* IMPDecl,
ObjCInterfaceDecl* IDecl);
void DiagnoseOwningPropertyGetterSynthesis(const ObjCImplementationDecl *D);
void DiagnoseMissingDesignatedInitOverrides(
const ObjCImplementationDecl *ImplD,
const ObjCInterfaceDecl *IFD);
void DiagnoseDuplicateIvars(ObjCInterfaceDecl *ID, ObjCInterfaceDecl *SID);
enum MethodMatchStrategy {
MMS_loose,
MMS_strict
};
/// MatchTwoMethodDeclarations - Checks if two methods' type match and returns
/// true, or false, accordingly.
bool MatchTwoMethodDeclarations(const ObjCMethodDecl *Method,
const ObjCMethodDecl *PrevMethod,
MethodMatchStrategy strategy = MMS_strict);
/// MatchAllMethodDeclarations - Check methods declaraed in interface or
/// or protocol against those declared in their implementations.
void MatchAllMethodDeclarations(const SelectorSet &InsMap,
const SelectorSet &ClsMap,
SelectorSet &InsMapSeen,
SelectorSet &ClsMapSeen,
ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool &IncompleteImpl,
bool ImmediateClass,
bool WarnCategoryMethodImpl=false);
/// CheckCategoryVsClassMethodMatches - Checks that methods implemented in
/// category matches with those implemented in its primary class and
/// warns each time an exact match is found.
void CheckCategoryVsClassMethodMatches(ObjCCategoryImplDecl *CatIMP);
/// Add the given method to the list of globally-known methods.
void addMethodToGlobalList(ObjCMethodList *List, ObjCMethodDecl *Method);
private:
/// AddMethodToGlobalPool - Add an instance or factory method to the global
/// pool. See descriptoin of AddInstanceMethodToGlobalPool.
void AddMethodToGlobalPool(ObjCMethodDecl *Method, bool impl, bool instance);
/// LookupMethodInGlobalPool - Returns the instance or factory method and
/// optionally warns if there are multiple signatures.
ObjCMethodDecl *LookupMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass,
bool instance);
public:
/// - Returns instance or factory methods in global method pool for
/// given selector. It checks the desired kind first, if none is found, and
/// parameter checkTheOther is set, it then checks the other kind. If no such
/// method or only one method is found, function returns false; otherwise, it
/// returns true.
bool
CollectMultipleMethodsInGlobalPool(Selector Sel,
SmallVectorImpl<ObjCMethodDecl*>& Methods,
bool InstanceFirst, bool CheckTheOther,
const ObjCObjectType *TypeBound = nullptr);
bool
AreMultipleMethodsInGlobalPool(Selector Sel, ObjCMethodDecl *BestMethod,
SourceRange R, bool receiverIdOrClass,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
void
DiagnoseMultipleMethodInGlobalPool(SmallVectorImpl<ObjCMethodDecl*> &Methods,
Selector Sel, SourceRange R,
bool receiverIdOrClass);
private:
/// - Returns a selector which best matches given argument list or
/// nullptr if none could be found
ObjCMethodDecl *SelectBestMethod(Selector Sel, MultiExprArg Args,
bool IsInstance,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
/// Record the typo correction failure and return an empty correction.
TypoCorrection FailedCorrection(IdentifierInfo *Typo, SourceLocation TypoLoc,
bool RecordFailure = true) {
if (RecordFailure)
TypoCorrectionFailures[Typo].insert(TypoLoc);
return TypoCorrection();
}
public:
/// AddInstanceMethodToGlobalPool - All instance methods in a translation
/// unit are added to a global pool. This allows us to efficiently associate
/// a selector with a method declaraation for purposes of typechecking
/// messages sent to "id" (where the class of the object is unknown).
void AddInstanceMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/true);
}
/// AddFactoryMethodToGlobalPool - Same as above, but for factory methods.
void AddFactoryMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/false);
}
/// AddAnyMethodToGlobalPool - Add any method, instance or factory to global
/// pool.
void AddAnyMethodToGlobalPool(Decl *D);
/// LookupInstanceMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupInstanceMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/true);
}
/// LookupFactoryMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupFactoryMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/false);
}
const ObjCMethodDecl *SelectorsForTypoCorrection(Selector Sel,
QualType ObjectType=QualType());
/// LookupImplementedMethodInGlobalPool - Returns the method which has an
/// implementation.
ObjCMethodDecl *LookupImplementedMethodInGlobalPool(Selector Sel);
/// CollectIvarsToConstructOrDestruct - Collect those ivars which require
/// initialization.
void CollectIvarsToConstructOrDestruct(ObjCInterfaceDecl *OI,
SmallVectorImpl<ObjCIvarDecl*> &Ivars);
//===--------------------------------------------------------------------===//
// Statement Parsing Callbacks: SemaStmt.cpp.
public:
class FullExprArg {
public:
FullExprArg() : E(nullptr) { }
FullExprArg(Sema &actions) : E(nullptr) { }
ExprResult release() {
return E;
}
Expr *get() const { return E; }
Expr *operator->() {
return E;
}
private:
// FIXME: No need to make the entire Sema class a friend when it's just
// Sema::MakeFullExpr that needs access to the constructor below.
friend class Sema;
explicit FullExprArg(Expr *expr) : E(expr) {}
Expr *E;
};
FullExprArg MakeFullExpr(Expr *Arg) {
return MakeFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation());
}
FullExprArg MakeFullExpr(Expr *Arg, SourceLocation CC) {
return FullExprArg(
ActOnFinishFullExpr(Arg, CC, /*DiscardedValue*/ false).get());
}
FullExprArg MakeFullDiscardedValueExpr(Expr *Arg) {
ExprResult FE =
ActOnFinishFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation(),
/*DiscardedValue*/ true);
return FullExprArg(FE.get());
}
StmtResult ActOnExprStmt(ExprResult Arg, bool DiscardedValue = true);
StmtResult ActOnExprStmtError();
StmtResult ActOnNullStmt(SourceLocation SemiLoc,
bool HasLeadingEmptyMacro = false);
void ActOnStartOfCompoundStmt(bool IsStmtExpr);
void ActOnFinishOfCompoundStmt();
StmtResult ActOnCompoundStmt(SourceLocation L, SourceLocation R,
ArrayRef<Stmt *> Elts, bool isStmtExpr);
/// A RAII object to enter scope of a compound statement.
class CompoundScopeRAII {
public:
CompoundScopeRAII(Sema &S, bool IsStmtExpr = false) : S(S) {
S.ActOnStartOfCompoundStmt(IsStmtExpr);
}
~CompoundScopeRAII() {
S.ActOnFinishOfCompoundStmt();
}
private:
Sema &S;
};
/// An RAII helper that pops function a function scope on exit.
struct FunctionScopeRAII {
Sema &S;
bool Active;
FunctionScopeRAII(Sema &S) : S(S), Active(true) {}
~FunctionScopeRAII() {
if (Active)
S.PopFunctionScopeInfo();
}
void disable() { Active = false; }
};
StmtResult ActOnDeclStmt(DeclGroupPtrTy Decl,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ActOnForEachDeclStmt(DeclGroupPtrTy Decl);
StmtResult ActOnForEachLValueExpr(Expr *E);
ExprResult ActOnCaseExpr(SourceLocation CaseLoc, ExprResult Val);
StmtResult ActOnCaseStmt(SourceLocation CaseLoc, ExprResult LHS,
SourceLocation DotDotDotLoc, ExprResult RHS,
SourceLocation ColonLoc);
void ActOnCaseStmtBody(Stmt *CaseStmt, Stmt *SubStmt);
StmtResult ActOnDefaultStmt(SourceLocation DefaultLoc,
SourceLocation ColonLoc,
Stmt *SubStmt, Scope *CurScope);
StmtResult ActOnLabelStmt(SourceLocation IdentLoc, LabelDecl *TheDecl,
SourceLocation ColonLoc, Stmt *SubStmt);
StmtResult ActOnAttributedStmt(SourceLocation AttrLoc,
ArrayRef<const Attr*> Attrs,
Stmt *SubStmt);
class ConditionResult;
StmtResult ActOnIfStmt(SourceLocation IfLoc, bool IsConstexpr,
Stmt *InitStmt,
ConditionResult Cond, Stmt *ThenVal,
SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult BuildIfStmt(SourceLocation IfLoc, bool IsConstexpr,
Stmt *InitStmt,
ConditionResult Cond, Stmt *ThenVal,
SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult ActOnStartOfSwitchStmt(SourceLocation SwitchLoc,
Stmt *InitStmt,
ConditionResult Cond);
StmtResult ActOnFinishSwitchStmt(SourceLocation SwitchLoc,
Stmt *Switch, Stmt *Body);
StmtResult ActOnWhileStmt(SourceLocation WhileLoc, ConditionResult Cond,
Stmt *Body);
StmtResult ActOnDoStmt(SourceLocation DoLoc, Stmt *Body,
SourceLocation WhileLoc, SourceLocation CondLParen,
Expr *Cond, SourceLocation CondRParen);
StmtResult ActOnForStmt(SourceLocation ForLoc,
SourceLocation LParenLoc,
Stmt *First,
ConditionResult Second,
FullExprArg Third,
SourceLocation RParenLoc,
Stmt *Body);
ExprResult CheckObjCForCollectionOperand(SourceLocation forLoc,
Expr *collection);
StmtResult ActOnObjCForCollectionStmt(SourceLocation ForColLoc,
Stmt *First, Expr *collection,
SourceLocation RParenLoc);
StmtResult FinishObjCForCollectionStmt(Stmt *ForCollection, Stmt *Body);
enum BuildForRangeKind {
/// Initial building of a for-range statement.
BFRK_Build,
/// Instantiation or recovery rebuild of a for-range statement. Don't
/// attempt any typo-correction.
BFRK_Rebuild,
/// Determining whether a for-range statement could be built. Avoid any
/// unnecessary or irreversible actions.
BFRK_Check
};
StmtResult ActOnCXXForRangeStmt(Scope *S, SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
Stmt *LoopVar,
SourceLocation ColonLoc, Expr *Collection,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult BuildCXXForRangeStmt(SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
SourceLocation ColonLoc,
Stmt *RangeDecl, Stmt *Begin, Stmt *End,
Expr *Cond, Expr *Inc,
Stmt *LoopVarDecl,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult FinishCXXForRangeStmt(Stmt *ForRange, Stmt *Body);
StmtResult ActOnGotoStmt(SourceLocation GotoLoc,
SourceLocation LabelLoc,
LabelDecl *TheDecl);
StmtResult ActOnIndirectGotoStmt(SourceLocation GotoLoc,
SourceLocation StarLoc,
Expr *DestExp);
StmtResult ActOnContinueStmt(SourceLocation ContinueLoc, Scope *CurScope);
StmtResult ActOnBreakStmt(SourceLocation BreakLoc, Scope *CurScope);
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind, unsigned NumParams);
typedef std::pair<StringRef, QualType> CapturedParamNameType;
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind,
ArrayRef<CapturedParamNameType> Params);
StmtResult ActOnCapturedRegionEnd(Stmt *S);
void ActOnCapturedRegionError();
RecordDecl *CreateCapturedStmtRecordDecl(CapturedDecl *&CD,
SourceLocation Loc,
unsigned NumParams);
enum CopyElisionSemanticsKind {
CES_Strict = 0,
CES_AllowParameters = 1,
CES_AllowDifferentTypes = 2,
CES_AllowExceptionVariables = 4,
CES_FormerDefault = (CES_AllowParameters),
CES_Default = (CES_AllowParameters | CES_AllowDifferentTypes),
CES_AsIfByStdMove = (CES_AllowParameters | CES_AllowDifferentTypes |
CES_AllowExceptionVariables),
};
VarDecl *getCopyElisionCandidate(QualType ReturnType, Expr *E,
CopyElisionSemanticsKind CESK);
bool isCopyElisionCandidate(QualType ReturnType, const VarDecl *VD,
CopyElisionSemanticsKind CESK);
StmtResult ActOnReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp,
Scope *CurScope);
StmtResult BuildReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnCapScopeReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
bool IsVolatile, unsigned NumOutputs,
unsigned NumInputs, IdentifierInfo **Names,
MultiExprArg Constraints, MultiExprArg Exprs,
Expr *AsmString, MultiExprArg Clobbers,
SourceLocation RParenLoc);
void FillInlineAsmIdentifierInfo(Expr *Res,
llvm::InlineAsmIdentifierInfo &Info);
ExprResult LookupInlineAsmIdentifier(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Id,
bool IsUnevaluatedContext);
bool LookupInlineAsmField(StringRef Base, StringRef Member,
unsigned &Offset, SourceLocation AsmLoc);
ExprResult LookupInlineAsmVarDeclField(Expr *RefExpr, StringRef Member,
SourceLocation AsmLoc);
StmtResult ActOnMSAsmStmt(SourceLocation AsmLoc, SourceLocation LBraceLoc,
ArrayRef<Token> AsmToks,
StringRef AsmString,
unsigned NumOutputs, unsigned NumInputs,
ArrayRef<StringRef> Constraints,
ArrayRef<StringRef> Clobbers,
ArrayRef<Expr*> Exprs,
SourceLocation EndLoc);
LabelDecl *GetOrCreateMSAsmLabel(StringRef ExternalLabelName,
SourceLocation Location,
bool AlwaysCreate);
VarDecl *BuildObjCExceptionDecl(TypeSourceInfo *TInfo, QualType ExceptionType,
SourceLocation StartLoc,
SourceLocation IdLoc, IdentifierInfo *Id,
bool Invalid = false);
Decl *ActOnObjCExceptionDecl(Scope *S, Declarator &D);
StmtResult ActOnObjCAtCatchStmt(SourceLocation AtLoc, SourceLocation RParen,
Decl *Parm, Stmt *Body);
StmtResult ActOnObjCAtFinallyStmt(SourceLocation AtLoc, Stmt *Body);
StmtResult ActOnObjCAtTryStmt(SourceLocation AtLoc, Stmt *Try,
MultiStmtArg Catch, Stmt *Finally);
StmtResult BuildObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw);
StmtResult ActOnObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw,
Scope *CurScope);
ExprResult ActOnObjCAtSynchronizedOperand(SourceLocation atLoc,
Expr *operand);
StmtResult ActOnObjCAtSynchronizedStmt(SourceLocation AtLoc,
Expr *SynchExpr,
Stmt *SynchBody);
StmtResult ActOnObjCAutoreleasePoolStmt(SourceLocation AtLoc, Stmt *Body);
VarDecl *BuildExceptionDeclaration(Scope *S, TypeSourceInfo *TInfo,
SourceLocation StartLoc,
SourceLocation IdLoc,
IdentifierInfo *Id);
Decl *ActOnExceptionDeclarator(Scope *S, Declarator &D);
StmtResult ActOnCXXCatchBlock(SourceLocation CatchLoc,
Decl *ExDecl, Stmt *HandlerBlock);
StmtResult ActOnCXXTryBlock(SourceLocation TryLoc, Stmt *TryBlock,
ArrayRef<Stmt *> Handlers);
StmtResult ActOnSEHTryBlock(bool IsCXXTry, // try (true) or __try (false) ?
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
StmtResult ActOnSEHExceptBlock(SourceLocation Loc,
Expr *FilterExpr,
Stmt *Block);
void ActOnStartSEHFinallyBlock();
void ActOnAbortSEHFinallyBlock();
StmtResult ActOnFinishSEHFinallyBlock(SourceLocation Loc, Stmt *Block);
StmtResult ActOnSEHLeaveStmt(SourceLocation Loc, Scope *CurScope);
void DiagnoseReturnInConstructorExceptionHandler(CXXTryStmt *TryBlock);
bool ShouldWarnIfUnusedFileScopedDecl(const DeclaratorDecl *D) const;
/// If it's a file scoped decl that must warn if not used, keep track
/// of it.
void MarkUnusedFileScopedDecl(const DeclaratorDecl *D);
/// DiagnoseUnusedExprResult - If the statement passed in is an expression
/// whose result is unused, warn.
void DiagnoseUnusedExprResult(const Stmt *S);
void DiagnoseUnusedNestedTypedefs(const RecordDecl *D);
void DiagnoseUnusedDecl(const NamedDecl *ND);
/// Emit \p DiagID if statement located on \p StmtLoc has a suspicious null
/// statement as a \p Body, and it is located on the same line.
///
/// This helps prevent bugs due to typos, such as:
/// if (condition);
/// do_stuff();
void DiagnoseEmptyStmtBody(SourceLocation StmtLoc,
const Stmt *Body,
unsigned DiagID);
/// Warn if a for/while loop statement \p S, which is followed by
/// \p PossibleBody, has a suspicious null statement as a body.
void DiagnoseEmptyLoopBody(const Stmt *S,
const Stmt *PossibleBody);
/// Warn if a value is moved to itself.
void DiagnoseSelfMove(const Expr *LHSExpr, const Expr *RHSExpr,
SourceLocation OpLoc);
/// Warn if we're implicitly casting from a _Nullable pointer type to a
/// _Nonnull one.
void diagnoseNullableToNonnullConversion(QualType DstType, QualType SrcType,
SourceLocation Loc);
/// Warn when implicitly casting 0 to nullptr.
void diagnoseZeroToNullptrConversion(CastKind Kind, const Expr *E);
ParsingDeclState PushParsingDeclaration(sema::DelayedDiagnosticPool &pool) {
return DelayedDiagnostics.push(pool);
}
void PopParsingDeclaration(ParsingDeclState state, Decl *decl);
typedef ProcessingContextState ParsingClassState;
ParsingClassState PushParsingClass() {
return DelayedDiagnostics.pushUndelayed();
}
void PopParsingClass(ParsingClassState state) {
DelayedDiagnostics.popUndelayed(state);
}
void redelayDiagnostics(sema::DelayedDiagnosticPool &pool);
void DiagnoseAvailabilityOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass,
bool ObjCPropertyAccess,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReceiver = nullptr);
bool makeUnavailableInSystemHeader(SourceLocation loc,
UnavailableAttr::ImplicitReason reason);
/// Issue any -Wunguarded-availability warnings in \c FD
void DiagnoseUnguardedAvailabilityViolations(Decl *FD);
//===--------------------------------------------------------------------===//
// Expression Parsing Callbacks: SemaExpr.cpp.
bool CanUseDecl(NamedDecl *D, bool TreatUnavailableAsInvalid);
bool DiagnoseUseOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass = nullptr,
bool ObjCPropertyAccess = false,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReciever = nullptr);
void NoteDeletedFunction(FunctionDecl *FD);
void NoteDeletedInheritingConstructor(CXXConstructorDecl *CD);
std::string getDeletedOrUnavailableSuffix(const FunctionDecl *FD);
bool DiagnosePropertyAccessorMismatch(ObjCPropertyDecl *PD,
ObjCMethodDecl *Getter,
SourceLocation Loc);
void DiagnoseSentinelCalls(NamedDecl *D, SourceLocation Loc,
ArrayRef<Expr *> Args);
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, Decl *LambdaContextDecl = nullptr,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
enum ReuseLambdaContextDecl_t { ReuseLambdaContextDecl };
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, ReuseLambdaContextDecl_t,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
void PopExpressionEvaluationContext();
void DiscardCleanupsInEvaluationContext();
ExprResult TransformToPotentiallyEvaluated(Expr *E);
ExprResult HandleExprEvaluationContextForTypeof(Expr *E);
ExprResult ActOnConstantExpression(ExprResult Res);
// Functions for marking a declaration referenced. These functions also
// contain the relevant logic for marking if a reference to a function or
// variable is an odr-use (in the C++11 sense). There are separate variants
// for expressions referring to a decl; these exist because odr-use marking
// needs to be delayed for some constant variables when we build one of the
// named expressions.
//
// MightBeOdrUse indicates whether the use could possibly be an odr-use, and
// should usually be true. This only needs to be set to false if the lack of
// odr-use cannot be determined from the current context (for instance,
// because the name denotes a virtual function and was written without an
// explicit nested-name-specifier).
void MarkAnyDeclReferenced(SourceLocation Loc, Decl *D, bool MightBeOdrUse);
void MarkFunctionReferenced(SourceLocation Loc, FunctionDecl *Func,
bool MightBeOdrUse = true);
void MarkVariableReferenced(SourceLocation Loc, VarDecl *Var);
void MarkDeclRefReferenced(DeclRefExpr *E, const Expr *Base = nullptr);
void MarkMemberReferenced(MemberExpr *E);
void UpdateMarkingForLValueToRValue(Expr *E);
void CleanupVarDeclMarking();
enum TryCaptureKind {
TryCapture_Implicit, TryCapture_ExplicitByVal, TryCapture_ExplicitByRef
};
/// Try to capture the given variable.
///
/// \param Var The variable to capture.
///
/// \param Loc The location at which the capture occurs.
///
/// \param Kind The kind of capture, which may be implicit (for either a
/// block or a lambda), or explicit by-value or by-reference (for a lambda).
///
/// \param EllipsisLoc The location of the ellipsis, if one is provided in
/// an explicit lambda capture.
///
/// \param BuildAndDiagnose Whether we are actually supposed to add the
/// captures or diagnose errors. If false, this routine merely check whether
/// the capture can occur without performing the capture itself or complaining
/// if the variable cannot be captured.
///
/// \param CaptureType Will be set to the type of the field used to capture
/// this variable in the innermost block or lambda. Only valid when the
/// variable can be captured.
///
/// \param DeclRefType Will be set to the type of a reference to the capture
/// from within the current scope. Only valid when the variable can be
/// captured.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// variables that may or may not be used in certain specializations of
/// a nested generic lambda.
///
/// \returns true if an error occurred (i.e., the variable cannot be
/// captured) and false if the capture succeeded.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc, TryCaptureKind Kind,
SourceLocation EllipsisLoc, bool BuildAndDiagnose,
QualType &CaptureType,
QualType &DeclRefType,
const unsigned *const FunctionScopeIndexToStopAt);
/// Try to capture the given variable.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc,
TryCaptureKind Kind = TryCapture_Implicit,
SourceLocation EllipsisLoc = SourceLocation());
/// Checks if the variable must be captured.
bool NeedToCaptureVariable(VarDecl *Var, SourceLocation Loc);
/// Given a variable, determine the type that a reference to that
/// variable will have in the given scope.
QualType getCapturedDeclRefType(VarDecl *Var, SourceLocation Loc);
/// Mark all of the declarations referenced within a particular AST node as
/// referenced. Used when template instantiation instantiates a non-dependent
/// type -- entities referenced by the type are now referenced.
void MarkDeclarationsReferencedInType(SourceLocation Loc, QualType T);
void MarkDeclarationsReferencedInExpr(Expr *E,
bool SkipLocalVariables = false);
/// Try to recover by turning the given expression into a
/// call. Returns true if recovery was attempted or an error was
/// emitted; this may also leave the ExprResult invalid.
bool tryToRecoverWithCall(ExprResult &E, const PartialDiagnostic &PD,
bool ForceComplain = false,
bool (*IsPlausibleResult)(QualType) = nullptr);
/// Figure out if an expression could be turned into a call.
bool tryExprAsCall(Expr &E, QualType &ZeroArgCallReturnTy,
UnresolvedSetImpl &NonTemplateOverloads);
/// Conditionally issue a diagnostic based on the current
/// evaluation context.
///
/// \param Statement If Statement is non-null, delay reporting the
/// diagnostic until the function body is parsed, and then do a basic
/// reachability analysis to determine if the statement is reachable.
/// If it is unreachable, the diagnostic will not be emitted.
bool DiagRuntimeBehavior(SourceLocation Loc, const Stmt *Statement,
const PartialDiagnostic &PD);
// Primary Expressions.
SourceRange getExprRange(Expr *E) const;
ExprResult ActOnIdExpression(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
UnqualifiedId &Id, bool HasTrailingLParen, bool IsAddressOfOperand,
std::unique_ptr<CorrectionCandidateCallback> CCC = nullptr,
bool IsInlineAsmIdentifier = false, Token *KeywordReplacement = nullptr);
void DecomposeUnqualifiedId(const UnqualifiedId &Id,
TemplateArgumentListInfo &Buffer,
DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *&TemplateArgs);
bool
DiagnoseEmptyLookup(Scope *S, CXXScopeSpec &SS, LookupResult &R,
std::unique_ptr<CorrectionCandidateCallback> CCC,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
ArrayRef<Expr *> Args = None, TypoExpr **Out = nullptr);
ExprResult LookupInObjCMethod(LookupResult &LookUp, Scope *S,
IdentifierInfo *II,
bool AllowBuiltinCreation=false);
ExprResult ActOnDependentIdExpression(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
bool isAddressOfOperand,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclRefExpr(ValueDecl *D, QualType Ty,
ExprValueKind VK,
SourceLocation Loc,
const CXXScopeSpec *SS = nullptr);
ExprResult
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
const CXXScopeSpec *SS = nullptr,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
ExprResult
BuildAnonymousStructUnionMemberReference(
const CXXScopeSpec &SS,
SourceLocation nameLoc,
IndirectFieldDecl *indirectField,
DeclAccessPair FoundDecl = DeclAccessPair::make(nullptr, AS_none),
Expr *baseObjectExpr = nullptr,
SourceLocation opLoc = SourceLocation());
ExprResult BuildPossibleImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S);
ExprResult BuildImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
bool IsDefiniteInstance,
const Scope *S);
bool UseArgumentDependentLookup(const CXXScopeSpec &SS,
const LookupResult &R,
bool HasTrailingLParen);
ExprResult
BuildQualifiedDeclarationNameExpr(CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
bool IsAddressOfOperand, const Scope *S,
TypeSourceInfo **RecoveryTSI = nullptr);
ExprResult BuildDependentDeclRefExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclarationNameExpr(const CXXScopeSpec &SS,
LookupResult &R,
bool NeedsADL,
bool AcceptInvalidDecl = false);
ExprResult BuildDeclarationNameExpr(
const CXXScopeSpec &SS, const DeclarationNameInfo &NameInfo, NamedDecl *D,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr,
bool AcceptInvalidDecl = false);
ExprResult BuildLiteralOperatorCall(LookupResult &R,
DeclarationNameInfo &SuffixInfo,
ArrayRef<Expr *> Args,
SourceLocation LitEndLoc,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
ExprResult BuildPredefinedExpr(SourceLocation Loc,
PredefinedExpr::IdentKind IK);
ExprResult ActOnPredefinedExpr(SourceLocation Loc, tok::TokenKind Kind);
ExprResult ActOnIntegerConstant(SourceLocation Loc, uint64_t Val);
bool CheckLoopHintExpr(Expr *E, SourceLocation Loc);
ExprResult ActOnNumericConstant(const Token &Tok, Scope *UDLScope = nullptr);
ExprResult ActOnCharacterConstant(const Token &Tok,
Scope *UDLScope = nullptr);
ExprResult ActOnParenExpr(SourceLocation L, SourceLocation R, Expr *E);
ExprResult ActOnParenListExpr(SourceLocation L,
SourceLocation R,
MultiExprArg Val);
/// ActOnStringLiteral - The specified tokens were lexed as pasted string
/// fragments (e.g. "foo" "bar" L"baz").
ExprResult ActOnStringLiteral(ArrayRef<Token> StringToks,
Scope *UDLScope = nullptr);
ExprResult ActOnGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<ParsedType> ArgTypes,
ArrayRef<Expr *> ArgExprs);
ExprResult CreateGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<TypeSourceInfo *> Types,
ArrayRef<Expr *> Exprs);
// Binary/Unary Operators. 'Tok' is the token for the operator.
ExprResult CreateBuiltinUnaryOp(SourceLocation OpLoc, UnaryOperatorKind Opc,
Expr *InputExpr);
ExprResult BuildUnaryOp(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opc, Expr *Input);
ExprResult ActOnUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Op, Expr *Input);
bool isQualifiedMemberAccess(Expr *E);
QualType CheckAddressOfOperand(ExprResult &Operand, SourceLocation OpLoc);
ExprResult CreateUnaryExprOrTypeTraitExpr(TypeSourceInfo *TInfo,
SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
SourceRange R);
ExprResult CreateUnaryExprOrTypeTraitExpr(Expr *E, SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind);
ExprResult
ActOnUnaryExprOrTypeTraitExpr(SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
bool IsType, void *TyOrEx,
SourceRange ArgRange);
ExprResult CheckPlaceholderExpr(Expr *E);
bool CheckVecStepExpr(Expr *E);
bool CheckUnaryExprOrTypeTraitOperand(Expr *E, UnaryExprOrTypeTrait ExprKind);
bool CheckUnaryExprOrTypeTraitOperand(QualType ExprType, SourceLocation OpLoc,
SourceRange ExprRange,
UnaryExprOrTypeTrait ExprKind);
ExprResult ActOnSizeofParameterPackExpr(Scope *S,
SourceLocation OpLoc,
IdentifierInfo &Name,
SourceLocation NameLoc,
SourceLocation RParenLoc);
ExprResult ActOnPostfixUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Kind, Expr *Input);
ExprResult ActOnArraySubscriptExpr(Scope *S, Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinArraySubscriptExpr(Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult ActOnOMPArraySectionExpr(Expr *Base, SourceLocation LBLoc,
Expr *LowerBound, SourceLocation ColonLoc,
Expr *Length, SourceLocation RBLoc);
// This struct is for use by ActOnMemberAccess to allow
// BuildMemberReferenceExpr to be able to reinvoke ActOnMemberAccess after
// changing the access operator from a '.' to a '->' (to see if that is the
// change needed to fix an error about an unknown member, e.g. when the class
// defines a custom operator->).
struct ActOnMemberAccessExtraArgs {
Scope *S;
UnqualifiedId &Id;
Decl *ObjCImpDecl;
};
ExprResult BuildMemberReferenceExpr(
Expr *Base, QualType BaseType, SourceLocation OpLoc, bool IsArrow,
CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult
BuildMemberReferenceExpr(Expr *Base, QualType BaseType, SourceLocation OpLoc,
bool IsArrow, const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
bool SuppressQualifierCheck = false,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult BuildFieldReferenceExpr(Expr *BaseExpr, bool IsArrow,
SourceLocation OpLoc,
const CXXScopeSpec &SS, FieldDecl *Field,
DeclAccessPair FoundDecl,
const DeclarationNameInfo &MemberNameInfo);
ExprResult PerformMemberExprBaseConversion(Expr *Base, bool IsArrow);
bool CheckQualifiedMemberReference(Expr *BaseExpr, QualType BaseType,
const CXXScopeSpec &SS,
const LookupResult &R);
ExprResult ActOnDependentMemberExpr(Expr *Base, QualType BaseType,
bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult ActOnMemberAccessExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Member,
Decl *ObjCImpDecl);
void ActOnDefaultCtorInitializers(Decl *CDtorDecl);
bool ConvertArgumentsForCall(CallExpr *Call, Expr *Fn,
FunctionDecl *FDecl,
const FunctionProtoType *Proto,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
bool ExecConfig = false);
void CheckStaticArrayArgument(SourceLocation CallLoc,
ParmVarDecl *Param,
const Expr *ArgExpr);
/// ActOnCallExpr - Handle a call to Fn with the specified array of arguments.
/// This provides the location of the left/right parens and a list of comma
/// locations.
ExprResult ActOnCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr,
bool IsExecConfig = false);
ExprResult
BuildResolvedCallExpr(Expr *Fn, NamedDecl *NDecl, SourceLocation LParenLoc,
ArrayRef<Expr *> Arg, SourceLocation RParenLoc,
Expr *Config = nullptr, bool IsExecConfig = false,
ADLCallKind UsesADL = ADLCallKind::NotADL);
ExprResult ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc,
MultiExprArg ExecConfig,
SourceLocation GGGLoc);
ExprResult ActOnCastExpr(Scope *S, SourceLocation LParenLoc,
Declarator &D, ParsedType &Ty,
SourceLocation RParenLoc, Expr *CastExpr);
ExprResult BuildCStyleCastExpr(SourceLocation LParenLoc,
TypeSourceInfo *Ty,
SourceLocation RParenLoc,
Expr *Op);
CastKind PrepareScalarCast(ExprResult &src, QualType destType);
/// Build an altivec or OpenCL literal.
ExprResult BuildVectorLiteral(SourceLocation LParenLoc,
SourceLocation RParenLoc, Expr *E,
TypeSourceInfo *TInfo);
ExprResult MaybeConvertParenListExprToParenExpr(Scope *S, Expr *ME);
ExprResult ActOnCompoundLiteral(SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc,
Expr *InitExpr);
ExprResult BuildCompoundLiteralExpr(SourceLocation LParenLoc,
TypeSourceInfo *TInfo,
SourceLocation RParenLoc,
Expr *LiteralExpr);
ExprResult ActOnInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult ActOnDesignatedInitializer(Designation &Desig,
SourceLocation Loc,
bool GNUSyntax,
ExprResult Init);
private:
static BinaryOperatorKind ConvertTokenKindToBinaryOpcode(tok::TokenKind Kind);
public:
ExprResult ActOnBinOp(Scope *S, SourceLocation TokLoc,
tok::TokenKind Kind, Expr *LHSExpr, Expr *RHSExpr);
ExprResult BuildBinOp(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opc, Expr *LHSExpr, Expr *RHSExpr);
ExprResult CreateBuiltinBinOp(SourceLocation OpLoc, BinaryOperatorKind Opc,
Expr *LHSExpr, Expr *RHSExpr);
void DiagnoseCommaOperator(const Expr *LHS, SourceLocation Loc);
/// ActOnConditionalOp - Parse a ?: operation. Note that 'LHS' may be null
/// in the case of a the GNU conditional expr extension.
ExprResult ActOnConditionalOp(SourceLocation QuestionLoc,
SourceLocation ColonLoc,
Expr *CondExpr, Expr *LHSExpr, Expr *RHSExpr);
/// ActOnAddrLabel - Parse the GNU address of label extension: "&&foo".
ExprResult ActOnAddrLabel(SourceLocation OpLoc, SourceLocation LabLoc,
LabelDecl *TheDecl);
void ActOnStartStmtExpr();
ExprResult ActOnStmtExpr(SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc); // "({..})"
void ActOnStmtExprError();
// __builtin_offsetof(type, identifier(.identifier|[expr])*)
struct OffsetOfComponent {
SourceLocation LocStart, LocEnd;
bool isBrackets; // true if [expr], false if .ident
union {
IdentifierInfo *IdentInfo;
Expr *E;
} U;
};
/// __builtin_offsetof(type, a.b[123][456].c)
ExprResult BuildBuiltinOffsetOf(SourceLocation BuiltinLoc,
TypeSourceInfo *TInfo,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
ExprResult ActOnBuiltinOffsetOf(Scope *S,
SourceLocation BuiltinLoc,
SourceLocation TypeLoc,
ParsedType ParsedArgTy,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
// __builtin_choose_expr(constExpr, expr1, expr2)
ExprResult ActOnChooseExpr(SourceLocation BuiltinLoc,
Expr *CondExpr, Expr *LHSExpr,
Expr *RHSExpr, SourceLocation RPLoc);
// __builtin_va_arg(expr, type)
ExprResult ActOnVAArg(SourceLocation BuiltinLoc, Expr *E, ParsedType Ty,
SourceLocation RPLoc);
ExprResult BuildVAArgExpr(SourceLocation BuiltinLoc, Expr *E,
TypeSourceInfo *TInfo, SourceLocation RPLoc);
// __null
ExprResult ActOnGNUNullExpr(SourceLocation TokenLoc);
bool CheckCaseExpression(Expr *E);
/// Describes the result of an "if-exists" condition check.
enum IfExistsResult {
/// The symbol exists.
IER_Exists,
/// The symbol does not exist.
IER_DoesNotExist,
/// The name is a dependent name, so the results will differ
/// from one instantiation to the next.
IER_Dependent,
/// An error occurred.
IER_Error
};
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, CXXScopeSpec &SS,
const DeclarationNameInfo &TargetNameInfo);
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, SourceLocation KeywordLoc,
bool IsIfExists, CXXScopeSpec &SS,
UnqualifiedId &Name);
StmtResult BuildMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
NestedNameSpecifierLoc QualifierLoc,
DeclarationNameInfo NameInfo,
Stmt *Nested);
StmtResult ActOnMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
CXXScopeSpec &SS, UnqualifiedId &Name,
Stmt *Nested);
//===------------------------- "Block" Extension ------------------------===//
/// ActOnBlockStart - This callback is invoked when a block literal is
/// started.
void ActOnBlockStart(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockArguments - This callback allows processing of block arguments.
/// If there are no arguments, this is still invoked.
void ActOnBlockArguments(SourceLocation CaretLoc, Declarator &ParamInfo,
Scope *CurScope);
/// ActOnBlockError - If there is an error parsing a block, this callback
/// is invoked to pop the information about the block from the action impl.
void ActOnBlockError(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockStmtExpr - This is called when the body of a block statement
/// literal was successfully completed. ^(int x){...}
ExprResult ActOnBlockStmtExpr(SourceLocation CaretLoc, Stmt *Body,
Scope *CurScope);
//===---------------------------- Clang Extensions ----------------------===//
/// __builtin_convertvector(...)
ExprResult ActOnConvertVectorExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- OpenCL Features -----------------------===//
/// __builtin_astype(...)
ExprResult ActOnAsTypeExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- C++ Features --------------------------===//
// Act on C++ namespaces
Decl *ActOnStartNamespaceDef(Scope *S, SourceLocation InlineLoc,
SourceLocation NamespaceLoc,
SourceLocation IdentLoc, IdentifierInfo *Ident,
SourceLocation LBrace,
const ParsedAttributesView &AttrList,
UsingDirectiveDecl *&UsingDecl);
void ActOnFinishNamespaceDef(Decl *Dcl, SourceLocation RBrace);
NamespaceDecl *getStdNamespace() const;
NamespaceDecl *getOrCreateStdNamespace();
NamespaceDecl *lookupStdExperimentalNamespace();
CXXRecordDecl *getStdBadAlloc() const;
EnumDecl *getStdAlignValT() const;
private:
// A cache representing if we've fully checked the various comparison category
// types stored in ASTContext. The bit-index corresponds to the integer value
// of a ComparisonCategoryType enumerator.
llvm::SmallBitVector FullyCheckedComparisonCategories;
ValueDecl *tryLookupCtorInitMemberDecl(CXXRecordDecl *ClassDecl,
CXXScopeSpec &SS,
ParsedType TemplateTypeTy,
IdentifierInfo *MemberOrBase);
public:
/// Lookup the specified comparison category types in the standard
/// library, an check the VarDecls possibly returned by the operator<=>
/// builtins for that type.
///
/// \return The type of the comparison category type corresponding to the
/// specified Kind, or a null type if an error occurs
QualType CheckComparisonCategoryType(ComparisonCategoryType Kind,
SourceLocation Loc);
/// Tests whether Ty is an instance of std::initializer_list and, if
/// it is and Element is not NULL, assigns the element type to Element.
bool isStdInitializerList(QualType Ty, QualType *Element);
/// Looks for the std::initializer_list template and instantiates it
/// with Element, or emits an error if it's not found.
///
/// \returns The instantiated template, or null on error.
QualType BuildStdInitializerList(QualType Element, SourceLocation Loc);
/// Determine whether Ctor is an initializer-list constructor, as
/// defined in [dcl.init.list]p2.
bool isInitListConstructor(const FunctionDecl *Ctor);
Decl *ActOnUsingDirective(Scope *CurScope, SourceLocation UsingLoc,
SourceLocation NamespcLoc, CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *NamespcName,
const ParsedAttributesView &AttrList);
void PushUsingDirective(Scope *S, UsingDirectiveDecl *UDir);
Decl *ActOnNamespaceAliasDef(Scope *CurScope,
SourceLocation NamespaceLoc,
SourceLocation AliasLoc,
IdentifierInfo *Alias,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *Ident);
void HideUsingShadowDecl(Scope *S, UsingShadowDecl *Shadow);
bool CheckUsingShadowDecl(UsingDecl *UD, NamedDecl *Target,
const LookupResult &PreviousDecls,
UsingShadowDecl *&PrevShadow);
UsingShadowDecl *BuildUsingShadowDecl(Scope *S, UsingDecl *UD,
NamedDecl *Target,
UsingShadowDecl *PrevDecl);
bool CheckUsingDeclRedeclaration(SourceLocation UsingLoc,
bool HasTypenameKeyword,
const CXXScopeSpec &SS,
SourceLocation NameLoc,
const LookupResult &Previous);
bool CheckUsingDeclQualifier(SourceLocation UsingLoc,
bool HasTypename,
const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
SourceLocation NameLoc);
NamedDecl *BuildUsingDeclaration(
Scope *S, AccessSpecifier AS, SourceLocation UsingLoc,
bool HasTypenameKeyword, SourceLocation TypenameLoc, CXXScopeSpec &SS,
DeclarationNameInfo NameInfo, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList, bool IsInstantiation);
NamedDecl *BuildUsingPackDecl(NamedDecl *InstantiatedFrom,
ArrayRef<NamedDecl *> Expansions);
bool CheckInheritingConstructorUsingDecl(UsingDecl *UD);
/// Given a derived-class using shadow declaration for a constructor and the
/// correspnding base class constructor, find or create the implicit
/// synthesized derived class constructor to use for this initialization.
CXXConstructorDecl *
findInheritingConstructor(SourceLocation Loc, CXXConstructorDecl *BaseCtor,
ConstructorUsingShadowDecl *DerivedShadow);
Decl *ActOnUsingDeclaration(Scope *CurScope, AccessSpecifier AS,
SourceLocation UsingLoc,
SourceLocation TypenameLoc, CXXScopeSpec &SS,
UnqualifiedId &Name, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnAliasDeclaration(Scope *CurScope, AccessSpecifier AS,
MultiTemplateParamsArg TemplateParams,
SourceLocation UsingLoc, UnqualifiedId &Name,
const ParsedAttributesView &AttrList,
TypeResult Type, Decl *DeclFromDeclSpec);
/// BuildCXXConstructExpr - Creates a complete call to a constructor,
/// including handling of its default argument expressions.
///
/// \param ConstructKind - a CXXConstructExpr::ConstructionKind
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
/// Build a CXXConstructExpr whose constructor has already been resolved if
/// it denotes an inherited constructor.
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
// FIXME: Can we remove this and have the above BuildCXXConstructExpr check if
// the constructor can be elidable?
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs, bool HadMultipleCandidates,
bool IsListInitialization,
bool IsStdInitListInitialization, bool RequiresZeroInit,
unsigned ConstructKind, SourceRange ParenRange);
ExprResult BuildCXXDefaultInitExpr(SourceLocation Loc, FieldDecl *Field);
/// Instantiate or parse a C++ default argument expression as necessary.
/// Return true on error.
bool CheckCXXDefaultArgExpr(SourceLocation CallLoc, FunctionDecl *FD,
ParmVarDecl *Param);
/// BuildCXXDefaultArgExpr - Creates a CXXDefaultArgExpr, instantiating
/// the default expr if needed.
ExprResult BuildCXXDefaultArgExpr(SourceLocation CallLoc,
FunctionDecl *FD,
ParmVarDecl *Param);
/// FinalizeVarWithDestructor - Prepare for calling destructor on the
/// constructed variable.
void FinalizeVarWithDestructor(VarDecl *VD, const RecordType *DeclInitType);
/// Helper class that collects exception specifications for
/// implicitly-declared special member functions.
class ImplicitExceptionSpecification {
// Pointer to allow copying
Sema *Self;
// We order exception specifications thus:
// noexcept is the most restrictive, but is only used in C++11.
// throw() comes next.
// Then a throw(collected exceptions)
// Finally no specification, which is expressed as noexcept(false).
// throw(...) is used instead if any called function uses it.
ExceptionSpecificationType ComputedEST;
llvm::SmallPtrSet<CanQualType, 4> ExceptionsSeen;
SmallVector<QualType, 4> Exceptions;
void ClearExceptions() {
ExceptionsSeen.clear();
Exceptions.clear();
}
public:
explicit ImplicitExceptionSpecification(Sema &Self)
: Self(&Self), ComputedEST(EST_BasicNoexcept) {
if (!Self.getLangOpts().CPlusPlus11)
ComputedEST = EST_DynamicNone;
}
/// Get the computed exception specification type.
ExceptionSpecificationType getExceptionSpecType() const {
assert(!isComputedNoexcept(ComputedEST) &&
"noexcept(expr) should not be a possible result");
return ComputedEST;
}
/// The number of exceptions in the exception specification.
unsigned size() const { return Exceptions.size(); }
/// The set of exceptions in the exception specification.
const QualType *data() const { return Exceptions.data(); }
/// Integrate another called method into the collected data.
void CalledDecl(SourceLocation CallLoc, const CXXMethodDecl *Method);
/// Integrate an invoked expression into the collected data.
void CalledExpr(Expr *E);
/// Overwrite an EPI's exception specification with this
/// computed exception specification.
FunctionProtoType::ExceptionSpecInfo getExceptionSpec() const {
FunctionProtoType::ExceptionSpecInfo ESI;
ESI.Type = getExceptionSpecType();
if (ESI.Type == EST_Dynamic) {
ESI.Exceptions = Exceptions;
} else if (ESI.Type == EST_None) {
/// C++11 [except.spec]p14:
/// The exception-specification is noexcept(false) if the set of
/// potential exceptions of the special member function contains "any"
ESI.Type = EST_NoexceptFalse;
ESI.NoexceptExpr = Self->ActOnCXXBoolLiteral(SourceLocation(),
tok::kw_false).get();
}
return ESI;
}
};
/// Determine what sort of exception specification a defaulted
/// copy constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDefaultCtorExceptionSpec(SourceLocation Loc,
CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// default constructor of a class will have, and whether the parameter
/// will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyCtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// copy assignment operator of a class will have, and whether the
/// parameter will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyAssignmentExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted move
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveCtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted move
/// assignment operator of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveAssignmentExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// destructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification an inheriting
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeInheritingCtorExceptionSpec(SourceLocation Loc,
CXXConstructorDecl *CD);
/// Evaluate the implicit exception specification for a defaulted
/// special member function.
void EvaluateImplicitExceptionSpec(SourceLocation Loc, CXXMethodDecl *MD);
/// Check the given noexcept-specifier, convert its expression, and compute
/// the appropriate ExceptionSpecificationType.
ExprResult ActOnNoexceptSpec(SourceLocation NoexceptLoc, Expr *NoexceptExpr,
ExceptionSpecificationType &EST);
/// Check the given exception-specification and update the
/// exception specification information with the results.
void checkExceptionSpecification(bool IsTopLevel,
ExceptionSpecificationType EST,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr,
SmallVectorImpl<QualType> &Exceptions,
FunctionProtoType::ExceptionSpecInfo &ESI);
/// Determine if we're in a case where we need to (incorrectly) eagerly
/// parse an exception specification to work around a libstdc++ bug.
bool isLibstdcxxEagerExceptionSpecHack(const Declarator &D);
/// Add an exception-specification to the given member function
/// (or member function template). The exception-specification was parsed
/// after the method itself was declared.
void actOnDelayedExceptionSpecification(Decl *Method,
ExceptionSpecificationType EST,
SourceRange SpecificationRange,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr);
class InheritedConstructorInfo;
/// Determine if a special member function should have a deleted
/// definition when it is defaulted.
bool ShouldDeleteSpecialMember(CXXMethodDecl *MD, CXXSpecialMember CSM,
InheritedConstructorInfo *ICI = nullptr,
bool Diagnose = false);
/// Declare the implicit default constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// default constructor will be added.
///
/// \returns The implicitly-declared default constructor.
CXXConstructorDecl *DeclareImplicitDefaultConstructor(
CXXRecordDecl *ClassDecl);
/// DefineImplicitDefaultConstructor - Checks for feasibility of
/// defining this constructor as the default constructor.
void DefineImplicitDefaultConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit destructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// destructor will be added.
///
/// \returns The implicitly-declared destructor.
CXXDestructorDecl *DeclareImplicitDestructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitDestructor - Checks for feasibility of
/// defining this destructor as the default destructor.
void DefineImplicitDestructor(SourceLocation CurrentLocation,
CXXDestructorDecl *Destructor);
/// Build an exception spec for destructors that don't have one.
///
/// C++11 says that user-defined destructors with no exception spec get one
/// that looks as if the destructor was implicitly declared.
void AdjustDestructorExceptionSpec(CXXDestructorDecl *Destructor);
/// Define the specified inheriting constructor.
void DefineInheritingConstructor(SourceLocation UseLoc,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy constructor will be added.
///
/// \returns The implicitly-declared copy constructor.
CXXConstructorDecl *DeclareImplicitCopyConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitCopyConstructor - Checks for feasibility of
/// defining this constructor as the copy constructor.
void DefineImplicitCopyConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit move constructor for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move constructor will be added.
///
/// \returns The implicitly-declared move constructor, or NULL if it wasn't
/// declared.
CXXConstructorDecl *DeclareImplicitMoveConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitMoveConstructor - Checks for feasibility of
/// defining this constructor as the move constructor.
void DefineImplicitMoveConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy assignment operator for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy assignment operator will be added.
///
/// \returns The implicitly-declared copy assignment operator.
CXXMethodDecl *DeclareImplicitCopyAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared copy assignment operator.
void DefineImplicitCopyAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Declare the implicit move assignment operator for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move assignment operator will be added.
///
/// \returns The implicitly-declared move assignment operator, or NULL if it
/// wasn't declared.
CXXMethodDecl *DeclareImplicitMoveAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared move assignment operator.
void DefineImplicitMoveAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Force the declaration of any implicitly-declared members of this
/// class.
void ForceDeclarationOfImplicitMembers(CXXRecordDecl *Class);
/// Check a completed declaration of an implicit special member.
void CheckImplicitSpecialMemberDeclaration(Scope *S, FunctionDecl *FD);
/// Determine whether the given function is an implicitly-deleted
/// special member function.
bool isImplicitlyDeleted(FunctionDecl *FD);
/// Check whether 'this' shows up in the type of a static member
/// function after the (naturally empty) cv-qualifier-seq would be.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionType(CXXMethodDecl *Method);
/// Whether this' shows up in the exception specification of a static
/// member function.
bool checkThisInStaticMemberFunctionExceptionSpec(CXXMethodDecl *Method);
/// Check whether 'this' shows up in the attributes of the given
/// static member function.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionAttributes(CXXMethodDecl *Method);
/// MaybeBindToTemporary - If the passed in expression has a record type with
/// a non-trivial destructor, this will return CXXBindTemporaryExpr. Otherwise
/// it simply returns the passed in expression.
ExprResult MaybeBindToTemporary(Expr *E);
bool CompleteConstructorCall(CXXConstructorDecl *Constructor,
MultiExprArg ArgsPtr,
SourceLocation Loc,
SmallVectorImpl<Expr*> &ConvertedArgs,
bool AllowExplicit = false,
bool IsListInitialization = false);
ParsedType getInheritingConstructorName(CXXScopeSpec &SS,
SourceLocation NameLoc,
IdentifierInfo &Name);
ParsedType getConstructorName(IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
bool EnteringContext);
ParsedType getDestructorName(SourceLocation TildeLoc,
IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
ParsedType ObjectType,
bool EnteringContext);
ParsedType getDestructorTypeForDecltype(const DeclSpec &DS,
ParsedType ObjectType);
// Checks that reinterpret casts don't have undefined behavior.
void CheckCompatibleReinterpretCast(QualType SrcType, QualType DestType,
bool IsDereference, SourceRange Range);
/// ActOnCXXNamedCast - Parse {dynamic,static,reinterpret,const}_cast's.
ExprResult ActOnCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
SourceLocation LAngleBracketLoc,
Declarator &D,
SourceLocation RAngleBracketLoc,
SourceLocation LParenLoc,
Expr *E,
SourceLocation RParenLoc);
ExprResult BuildCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
TypeSourceInfo *Ty,
Expr *E,
SourceRange AngleBrackets,
SourceRange Parens);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXTypeid - Parse typeid( something ).
ExprResult ActOnCXXTypeid(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXUuidof - Parse __uuidof( something ).
ExprResult ActOnCXXUuidof(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
/// Handle a C++1z fold-expression: ( expr op ... op expr ).
ExprResult ActOnCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
tok::TokenKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
BinaryOperatorKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildEmptyCXXFoldExpr(SourceLocation EllipsisLoc,
BinaryOperatorKind Operator);
//// ActOnCXXThis - Parse 'this' pointer.
ExprResult ActOnCXXThis(SourceLocation loc);
/// Try to retrieve the type of the 'this' pointer.
///
/// \returns The type of 'this', if possible. Otherwise, returns a NULL type.
QualType getCurrentThisType();
/// When non-NULL, the C++ 'this' expression is allowed despite the
/// current context not being a non-static member function. In such cases,
/// this provides the type used for 'this'.
QualType CXXThisTypeOverride;
/// RAII object used to temporarily allow the C++ 'this' expression
/// to be used, with the given qualifiers on the current class type.
class CXXThisScopeRAII {
Sema &S;
QualType OldCXXThisTypeOverride;
bool Enabled;
public:
/// Introduce a new scope where 'this' may be allowed (when enabled),
/// using the given declaration (which is either a class template or a
/// class) along with the given qualifiers.
/// along with the qualifiers placed on '*this'.
CXXThisScopeRAII(Sema &S, Decl *ContextDecl, Qualifiers CXXThisTypeQuals,
bool Enabled = true);
~CXXThisScopeRAII();
};
/// Make sure the value of 'this' is actually available in the current
/// context, if it is a potentially evaluated context.
///
/// \param Loc The location at which the capture of 'this' occurs.
///
/// \param Explicit Whether 'this' is explicitly captured in a lambda
/// capture list.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// 'this' that may or may not be used in certain specializations of
/// a nested generic lambda (depending on whether the name resolves to
/// a non-static member function or a static function).
/// \return returns 'true' if failed, 'false' if success.
bool CheckCXXThisCapture(SourceLocation Loc, bool Explicit = false,
bool BuildAndDiagnose = true,
const unsigned *const FunctionScopeIndexToStopAt = nullptr,
bool ByCopy = false);
/// Determine whether the given type is the type of *this that is used
/// outside of the body of a member function for a type that is currently
/// being defined.
bool isThisOutsideMemberFunctionBody(QualType BaseType);
/// ActOnCXXBoolLiteral - Parse {true,false} literals.
ExprResult ActOnCXXBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
/// ActOnObjCBoolLiteral - Parse {__objc_yes,__objc_no} literals.
ExprResult ActOnObjCBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
ExprResult
ActOnObjCAvailabilityCheckExpr(llvm::ArrayRef<AvailabilitySpec> AvailSpecs,
SourceLocation AtLoc, SourceLocation RParen);
/// ActOnCXXNullPtrLiteral - Parse 'nullptr'.
ExprResult ActOnCXXNullPtrLiteral(SourceLocation Loc);
//// ActOnCXXThrow - Parse throw expressions.
ExprResult ActOnCXXThrow(Scope *S, SourceLocation OpLoc, Expr *expr);
ExprResult BuildCXXThrow(SourceLocation OpLoc, Expr *Ex,
bool IsThrownVarInScope);
bool CheckCXXThrowOperand(SourceLocation ThrowLoc, QualType ThrowTy, Expr *E);
/// ActOnCXXTypeConstructExpr - Parse construction of a specified type.
/// Can be interpreted either as function-style casting ("int(x)")
/// or class type construction ("ClassType(x,y,z)")
/// or creation of a value-initialized type ("int()").
ExprResult ActOnCXXTypeConstructExpr(ParsedType TypeRep,
SourceLocation LParenOrBraceLoc,
MultiExprArg Exprs,
SourceLocation RParenOrBraceLoc,
bool ListInitialization);
ExprResult BuildCXXTypeConstructExpr(TypeSourceInfo *Type,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc,
bool ListInitialization);
/// ActOnCXXNew - Parsed a C++ 'new' expression.
ExprResult ActOnCXXNew(SourceLocation StartLoc, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens, Declarator &D,
Expr *Initializer);
ExprResult BuildCXXNew(SourceRange Range, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens,
QualType AllocType,
TypeSourceInfo *AllocTypeInfo,
Expr *ArraySize,
SourceRange DirectInitRange,
Expr *Initializer);
/// Determine whether \p FD is an aligned allocation or deallocation
/// function that is unavailable.
bool isUnavailableAlignedAllocationFunction(const FunctionDecl &FD) const;
/// Produce diagnostics if \p FD is an aligned allocation or deallocation
/// function that is unavailable.
void diagnoseUnavailableAlignedAllocation(const FunctionDecl &FD,
SourceLocation Loc);
bool CheckAllocatedType(QualType AllocType, SourceLocation Loc,
SourceRange R);
/// The scope in which to find allocation functions.
enum AllocationFunctionScope {
/// Only look for allocation functions in the global scope.
AFS_Global,
/// Only look for allocation functions in the scope of the
/// allocated class.
AFS_Class,
/// Look for allocation functions in both the global scope
/// and in the scope of the allocated class.
AFS_Both
};
/// Finds the overloads of operator new and delete that are appropriate
/// for the allocation.
bool FindAllocationFunctions(SourceLocation StartLoc, SourceRange Range,
AllocationFunctionScope NewScope,
AllocationFunctionScope DeleteScope,
QualType AllocType, bool IsArray,
bool &PassAlignment, MultiExprArg PlaceArgs,
FunctionDecl *&OperatorNew,
FunctionDecl *&OperatorDelete,
bool Diagnose = true);
void DeclareGlobalNewDelete();
void DeclareGlobalAllocationFunction(DeclarationName Name, QualType Return,
ArrayRef<QualType> Params);
bool FindDeallocationFunction(SourceLocation StartLoc, CXXRecordDecl *RD,
DeclarationName Name, FunctionDecl* &Operator,
bool Diagnose = true);
FunctionDecl *FindUsualDeallocationFunction(SourceLocation StartLoc,
bool CanProvideSize,
bool Overaligned,
DeclarationName Name);
FunctionDecl *FindDeallocationFunctionForDestructor(SourceLocation StartLoc,
CXXRecordDecl *RD);
/// ActOnCXXDelete - Parsed a C++ 'delete' expression
ExprResult ActOnCXXDelete(SourceLocation StartLoc,
bool UseGlobal, bool ArrayForm,
Expr *Operand);
void CheckVirtualDtorCall(CXXDestructorDecl *dtor, SourceLocation Loc,
bool IsDelete, bool CallCanBeVirtual,
bool WarnOnNonAbstractTypes,
SourceLocation DtorLoc);
ExprResult ActOnNoexceptExpr(SourceLocation KeyLoc, SourceLocation LParen,
Expr *Operand, SourceLocation RParen);
ExprResult BuildCXXNoexceptExpr(SourceLocation KeyLoc, Expr *Operand,
SourceLocation RParen);
/// Parsed one of the type trait support pseudo-functions.
ExprResult ActOnTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<ParsedType> Args,
SourceLocation RParenLoc);
ExprResult BuildTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<TypeSourceInfo *> Args,
SourceLocation RParenLoc);
/// ActOnArrayTypeTrait - Parsed one of the binary type trait support
/// pseudo-functions.
ExprResult ActOnArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
ParsedType LhsTy,
Expr *DimExpr,
SourceLocation RParen);
ExprResult BuildArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
TypeSourceInfo *TSInfo,
Expr *DimExpr,
SourceLocation RParen);
/// ActOnExpressionTrait - Parsed one of the unary type trait support
/// pseudo-functions.
ExprResult ActOnExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult BuildExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult ActOnStartCXXMemberReference(Scope *S,
Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
ParsedType &ObjectType,
bool &MayBePseudoDestructor);
ExprResult BuildPseudoDestructorExpr(Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
const CXXScopeSpec &SS,
TypeSourceInfo *ScopeType,
SourceLocation CCLoc,
SourceLocation TildeLoc,
PseudoDestructorTypeStorage DestroyedType);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
UnqualifiedId &FirstTypeName,
SourceLocation CCLoc,
SourceLocation TildeLoc,
UnqualifiedId &SecondTypeName);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
SourceLocation TildeLoc,
const DeclSpec& DS);
/// MaybeCreateExprWithCleanups - If the current full-expression
/// requires any cleanups, surround it with a ExprWithCleanups node.
/// Otherwise, just returns the passed-in expression.
Expr *MaybeCreateExprWithCleanups(Expr *SubExpr);
Stmt *MaybeCreateStmtWithCleanups(Stmt *SubStmt);
ExprResult MaybeCreateExprWithCleanups(ExprResult SubExpr);
MaterializeTemporaryExpr *
CreateMaterializeTemporaryExpr(QualType T, Expr *Temporary,
bool BoundToLvalueReference);
ExprResult ActOnFinishFullExpr(Expr *Expr, bool DiscardedValue) {
return ActOnFinishFullExpr(
Expr, Expr ? Expr->getExprLoc() : SourceLocation(), DiscardedValue);
}
ExprResult ActOnFinishFullExpr(Expr *Expr, SourceLocation CC,
bool DiscardedValue, bool IsConstexpr = false);
StmtResult ActOnFinishFullStmt(Stmt *Stmt);
// Marks SS invalid if it represents an incomplete type.
bool RequireCompleteDeclContext(CXXScopeSpec &SS, DeclContext *DC);
DeclContext *computeDeclContext(QualType T);
DeclContext *computeDeclContext(const CXXScopeSpec &SS,
bool EnteringContext = false);
bool isDependentScopeSpecifier(const CXXScopeSpec &SS);
CXXRecordDecl *getCurrentInstantiationOf(NestedNameSpecifier *NNS);
/// The parser has parsed a global nested-name-specifier '::'.
///
/// \param CCLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXGlobalScopeSpecifier(SourceLocation CCLoc, CXXScopeSpec &SS);
/// The parser has parsed a '__super' nested-name-specifier.
///
/// \param SuperLoc The location of the '__super' keyword.
///
/// \param ColonColonLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnSuperScopeSpecifier(SourceLocation SuperLoc,
SourceLocation ColonColonLoc, CXXScopeSpec &SS);
bool isAcceptableNestedNameSpecifier(const NamedDecl *SD,
bool *CanCorrect = nullptr);
NamedDecl *FindFirstQualifierInScope(Scope *S, NestedNameSpecifier *NNS);
/// Keeps information about an identifier in a nested-name-spec.
///
struct NestedNameSpecInfo {
/// The type of the object, if we're parsing nested-name-specifier in
/// a member access expression.
ParsedType ObjectType;
/// The identifier preceding the '::'.
IdentifierInfo *Identifier;
/// The location of the identifier.
SourceLocation IdentifierLoc;
/// The location of the '::'.
SourceLocation CCLoc;
/// Creates info object for the most typical case.
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, ParsedType ObjectType = ParsedType())
: ObjectType(ObjectType), Identifier(II), IdentifierLoc(IdLoc),
CCLoc(ColonColonLoc) {
}
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, QualType ObjectType)
: ObjectType(ParsedType::make(ObjectType)), Identifier(II),
IdentifierLoc(IdLoc), CCLoc(ColonColonLoc) {
}
};
bool isNonTypeNestedNameSpecifier(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo);
bool BuildCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
NamedDecl *ScopeLookupResult,
bool ErrorRecoveryLookup,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
/// The parser has parsed a nested-name-specifier 'identifier::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param IdInfo Parser information about an identifier in the
/// nested-name-spec.
///
/// \param EnteringContext Whether we're entering the context nominated by
/// this nested-name-specifier.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param ErrorRecoveryLookup If true, then this method is called to improve
/// error recovery. In this case do not emit error message.
///
/// \param IsCorrectedToColon If not null, suggestions to replace '::' -> ':'
/// are allowed. The bool value pointed by this parameter is set to 'true'
/// if the identifier is treated as if it was followed by ':', not '::'.
///
/// \param OnlyNamespace If true, only considers namespaces in lookup.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
bool ErrorRecoveryLookup = false,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
ExprResult ActOnDecltypeExpression(Expr *E);
bool ActOnCXXNestedNameSpecifierDecltype(CXXScopeSpec &SS,
const DeclSpec &DS,
SourceLocation ColonColonLoc);
bool IsInvalidUnlessNestedName(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo,
bool EnteringContext);
/// The parser has parsed a nested-name-specifier
/// 'template[opt] template-name < template-args >::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param TemplateKWLoc the location of the 'template' keyword, if any.
/// \param TemplateName the template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
/// \param CCLoc The location of the '::'.
///
/// \param EnteringContext Whether we're entering the context of the
/// nested-name-specifier.
///
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
SourceLocation CCLoc,
bool EnteringContext);
/// Given a C++ nested-name-specifier, produce an annotation value
/// that the parser can use later to reconstruct the given
/// nested-name-specifier.
///
/// \param SS A nested-name-specifier.
///
/// \returns A pointer containing all of the information in the
/// nested-name-specifier \p SS.
void *SaveNestedNameSpecifierAnnotation(CXXScopeSpec &SS);
/// Given an annotation pointer for a nested-name-specifier, restore
/// the nested-name-specifier structure.
///
/// \param Annotation The annotation pointer, produced by
/// \c SaveNestedNameSpecifierAnnotation().
///
/// \param AnnotationRange The source range corresponding to the annotation.
///
/// \param SS The nested-name-specifier that will be updated with the contents
/// of the annotation pointer.
void RestoreNestedNameSpecifierAnnotation(void *Annotation,
SourceRange AnnotationRange,
CXXScopeSpec &SS);
bool ShouldEnterDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclaratorScope - Called when a C++ scope specifier (global
/// scope or nested-name-specifier) is parsed, part of a declarator-id.
/// After this method is called, according to [C++ 3.4.3p3], names should be
/// looked up in the declarator-id's scope, until the declarator is parsed and
/// ActOnCXXExitDeclaratorScope is called.
/// The 'SS' should be a non-empty valid CXXScopeSpec.
bool ActOnCXXEnterDeclaratorScope(Scope *S, CXXScopeSpec &SS);
/// ActOnCXXExitDeclaratorScope - Called when a declarator that previously
/// invoked ActOnCXXEnterDeclaratorScope(), is finished. 'SS' is the same
/// CXXScopeSpec that was passed to ActOnCXXEnterDeclaratorScope as well.
/// Used to indicate that names should revert to being looked up in the
/// defining scope.
void ActOnCXXExitDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclInitializer - Invoked when we are about to parse an
/// initializer for the declaration 'Dcl'.
/// After this method is called, according to [C++ 3.4.1p13], if 'Dcl' is a
/// static data member of class X, names should be looked up in the scope of
/// class X.
void ActOnCXXEnterDeclInitializer(Scope *S, Decl *Dcl);
/// ActOnCXXExitDeclInitializer - Invoked after we are finished parsing an
/// initializer for the declaration 'Dcl'.
void ActOnCXXExitDeclInitializer(Scope *S, Decl *Dcl);
/// Create a new lambda closure type.
CXXRecordDecl *createLambdaClosureType(SourceRange IntroducerRange,
TypeSourceInfo *Info,
bool KnownDependent,
LambdaCaptureDefault CaptureDefault);
/// Start the definition of a lambda expression.
CXXMethodDecl *startLambdaDefinition(CXXRecordDecl *Class,
SourceRange IntroducerRange,
TypeSourceInfo *MethodType,
SourceLocation EndLoc,
ArrayRef<ParmVarDecl *> Params,
bool IsConstexprSpecified);
/// Endow the lambda scope info with the relevant properties.
void buildLambdaScope(sema::LambdaScopeInfo *LSI,
CXXMethodDecl *CallOperator,
SourceRange IntroducerRange,
LambdaCaptureDefault CaptureDefault,
SourceLocation CaptureDefaultLoc,
bool ExplicitParams,
bool ExplicitResultType,
bool Mutable);
/// Perform initialization analysis of the init-capture and perform
/// any implicit conversions such as an lvalue-to-rvalue conversion if
/// not being used to initialize a reference.
ParsedType actOnLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, IdentifierInfo *Id,
LambdaCaptureInitKind InitKind, Expr *&Init) {
return ParsedType::make(buildLambdaInitCaptureInitialization(
Loc, ByRef, Id, InitKind != LambdaCaptureInitKind::CopyInit, Init));
}
QualType buildLambdaInitCaptureInitialization(SourceLocation Loc, bool ByRef,
IdentifierInfo *Id,
bool DirectInit, Expr *&Init);
/// Create a dummy variable within the declcontext of the lambda's
/// call operator, for name lookup purposes for a lambda init capture.
///
/// CodeGen handles emission of lambda captures, ignoring these dummy
/// variables appropriately.
VarDecl *createLambdaInitCaptureVarDecl(SourceLocation Loc,
QualType InitCaptureType,
IdentifierInfo *Id,
unsigned InitStyle, Expr *Init);
/// Build the implicit field for an init-capture.
FieldDecl *buildInitCaptureField(sema::LambdaScopeInfo *LSI, VarDecl *Var);
/// Note that we have finished the explicit captures for the
/// given lambda.
void finishLambdaExplicitCaptures(sema::LambdaScopeInfo *LSI);
/// Introduce the lambda parameters into scope.
void addLambdaParameters(
ArrayRef<LambdaIntroducer::LambdaCapture> Captures,
CXXMethodDecl *CallOperator, Scope *CurScope);
/// Deduce a block or lambda's return type based on the return
/// statements present in the body.
void deduceClosureReturnType(sema::CapturingScopeInfo &CSI);
/// ActOnStartOfLambdaDefinition - This is called just before we start
/// parsing the body of a lambda; it analyzes the explicit captures and
/// arguments, and sets up various data-structures for the body of the
/// lambda.
void ActOnStartOfLambdaDefinition(LambdaIntroducer &Intro,
Declarator &ParamInfo, Scope *CurScope);
/// ActOnLambdaError - If there is an error parsing a lambda, this callback
/// is invoked to pop the information about the lambda.
void ActOnLambdaError(SourceLocation StartLoc, Scope *CurScope,
bool IsInstantiation = false);
/// ActOnLambdaExpr - This is called when the body of a lambda expression
/// was successfully completed.
ExprResult ActOnLambdaExpr(SourceLocation StartLoc, Stmt *Body,
Scope *CurScope);
/// Does copying/destroying the captured variable have side effects?
bool CaptureHasSideEffects(const sema::Capture &From);
/// Diagnose if an explicit lambda capture is unused. Returns true if a
/// diagnostic is emitted.
bool DiagnoseUnusedLambdaCapture(SourceRange CaptureRange,
const sema::Capture &From);
/// Complete a lambda-expression having processed and attached the
/// lambda body.
ExprResult BuildLambdaExpr(SourceLocation StartLoc, SourceLocation EndLoc,
sema::LambdaScopeInfo *LSI);
/// Get the return type to use for a lambda's conversion function(s) to
/// function pointer type, given the type of the call operator.
QualType
getLambdaConversionFunctionResultType(const FunctionProtoType *CallOpType);
/// Define the "body" of the conversion from a lambda object to a
/// function pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToFunctionPointerConversion(
SourceLocation CurrentLoc, CXXConversionDecl *Conv);
/// Define the "body" of the conversion from a lambda object to a
/// block pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToBlockPointerConversion(SourceLocation CurrentLoc,
CXXConversionDecl *Conv);
ExprResult BuildBlockForLambdaConversion(SourceLocation CurrentLocation,
SourceLocation ConvLocation,
CXXConversionDecl *Conv,
Expr *Src);
// ParseObjCStringLiteral - Parse Objective-C string literals.
ExprResult ParseObjCStringLiteral(SourceLocation *AtLocs,
ArrayRef<Expr *> Strings);
ExprResult BuildObjCStringLiteral(SourceLocation AtLoc, StringLiteral *S);
/// BuildObjCNumericLiteral - builds an ObjCBoxedExpr AST node for the
/// numeric literal expression. Type of the expression will be "NSNumber *"
/// or "id" if NSNumber is unavailable.
ExprResult BuildObjCNumericLiteral(SourceLocation AtLoc, Expr *Number);
ExprResult ActOnObjCBoolLiteral(SourceLocation AtLoc, SourceLocation ValueLoc,
bool Value);
ExprResult BuildObjCArrayLiteral(SourceRange SR, MultiExprArg Elements);
/// BuildObjCBoxedExpr - builds an ObjCBoxedExpr AST node for the
/// '@' prefixed parenthesized expression. The type of the expression will
/// either be "NSNumber *", "NSString *" or "NSValue *" depending on the type
/// of ValueType, which is allowed to be a built-in numeric type, "char *",
/// "const char *" or C structure with attribute 'objc_boxable'.
ExprResult BuildObjCBoxedExpr(SourceRange SR, Expr *ValueExpr);
ExprResult BuildObjCSubscriptExpression(SourceLocation RB, Expr *BaseExpr,
Expr *IndexExpr,
ObjCMethodDecl *getterMethod,
ObjCMethodDecl *setterMethod);
ExprResult BuildObjCDictionaryLiteral(SourceRange SR,
MutableArrayRef<ObjCDictionaryElement> Elements);
ExprResult BuildObjCEncodeExpression(SourceLocation AtLoc,
TypeSourceInfo *EncodedTypeInfo,
SourceLocation RParenLoc);
ExprResult BuildCXXMemberCallExpr(Expr *Exp, NamedDecl *FoundDecl,
CXXConversionDecl *Method,
bool HadMultipleCandidates);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc,
SourceLocation EncodeLoc,
SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc);
/// ParseObjCSelectorExpression - Build selector expression for \@selector
ExprResult ParseObjCSelectorExpression(Selector Sel,
SourceLocation AtLoc,
SourceLocation SelLoc,
SourceLocation LParenLoc,
SourceLocation RParenLoc,
bool WarnMultipleSelectors);
/// ParseObjCProtocolExpression - Build protocol expression for \@protocol
ExprResult ParseObjCProtocolExpression(IdentifierInfo * ProtocolName,
SourceLocation AtLoc,
SourceLocation ProtoLoc,
SourceLocation LParenLoc,
SourceLocation ProtoIdLoc,
SourceLocation RParenLoc);
//===--------------------------------------------------------------------===//
// C++ Declarations
//
Decl *ActOnStartLinkageSpecification(Scope *S,
SourceLocation ExternLoc,
Expr *LangStr,
SourceLocation LBraceLoc);
Decl *ActOnFinishLinkageSpecification(Scope *S,
Decl *LinkageSpec,
SourceLocation RBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Classes
//
CXXRecordDecl *getCurrentClass(Scope *S, const CXXScopeSpec *SS);
bool isCurrentClassName(const IdentifierInfo &II, Scope *S,
const CXXScopeSpec *SS = nullptr);
bool isCurrentClassNameTypo(IdentifierInfo *&II, const CXXScopeSpec *SS);
bool ActOnAccessSpecifier(AccessSpecifier Access, SourceLocation ASLoc,
SourceLocation ColonLoc,
const ParsedAttributesView &Attrs);
NamedDecl *ActOnCXXMemberDeclarator(Scope *S, AccessSpecifier AS,
Declarator &D,
MultiTemplateParamsArg TemplateParameterLists,
Expr *BitfieldWidth, const VirtSpecifiers &VS,
InClassInitStyle InitStyle);
void ActOnStartCXXInClassMemberInitializer();
void ActOnFinishCXXInClassMemberInitializer(Decl *VarDecl,
SourceLocation EqualLoc,
Expr *Init);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
SourceLocation LParenLoc,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
SourceLocation EllipsisLoc);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *InitList,
SourceLocation EllipsisLoc);
MemInitResult BuildMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *Init,
SourceLocation EllipsisLoc);
MemInitResult BuildMemberInitializer(ValueDecl *Member,
Expr *Init,
SourceLocation IdLoc);
MemInitResult BuildBaseInitializer(QualType BaseType,
TypeSourceInfo *BaseTInfo,
Expr *Init,
CXXRecordDecl *ClassDecl,
SourceLocation EllipsisLoc);
MemInitResult BuildDelegatingInitializer(TypeSourceInfo *TInfo,
Expr *Init,
CXXRecordDecl *ClassDecl);
bool SetDelegatingInitializer(CXXConstructorDecl *Constructor,
CXXCtorInitializer *Initializer);
bool SetCtorInitializers(CXXConstructorDecl *Constructor, bool AnyErrors,
ArrayRef<CXXCtorInitializer *> Initializers = None);
void SetIvarInitializers(ObjCImplementationDecl *ObjCImplementation);
/// MarkBaseAndMemberDestructorsReferenced - Given a record decl,
/// mark all the non-trivial destructors of its members and bases as
/// referenced.
void MarkBaseAndMemberDestructorsReferenced(SourceLocation Loc,
CXXRecordDecl *Record);
/// The list of classes whose vtables have been used within
/// this translation unit, and the source locations at which the
/// first use occurred.
typedef std::pair<CXXRecordDecl*, SourceLocation> VTableUse;
/// The list of vtables that are required but have not yet been
/// materialized.
SmallVector<VTableUse, 16> VTableUses;
/// The set of classes whose vtables have been used within
/// this translation unit, and a bit that will be true if the vtable is
/// required to be emitted (otherwise, it should be emitted only if needed
/// by code generation).
llvm::DenseMap<CXXRecordDecl *, bool> VTablesUsed;
/// Load any externally-stored vtable uses.
void LoadExternalVTableUses();
/// Note that the vtable for the given class was used at the
/// given location.
void MarkVTableUsed(SourceLocation Loc, CXXRecordDecl *Class,
bool DefinitionRequired = false);
/// Mark the exception specifications of all virtual member functions
/// in the given class as needed.
void MarkVirtualMemberExceptionSpecsNeeded(SourceLocation Loc,
const CXXRecordDecl *RD);
/// MarkVirtualMembersReferenced - Will mark all members of the given
/// CXXRecordDecl referenced.
void MarkVirtualMembersReferenced(SourceLocation Loc,
const CXXRecordDecl *RD);
/// Define all of the vtables that have been used in this
/// translation unit and reference any virtual members used by those
/// vtables.
///
/// \returns true if any work was done, false otherwise.
bool DefineUsedVTables();
void AddImplicitlyDeclaredMembersToClass(CXXRecordDecl *ClassDecl);
void ActOnMemInitializers(Decl *ConstructorDecl,
SourceLocation ColonLoc,
ArrayRef<CXXCtorInitializer*> MemInits,
bool AnyErrors);
/// Check class-level dllimport/dllexport attribute. The caller must
/// ensure that referenceDLLExportedClassMethods is called some point later
/// when all outer classes of Class are complete.
void checkClassLevelDLLAttribute(CXXRecordDecl *Class);
void checkClassLevelCodeSegAttribute(CXXRecordDecl *Class);
void referenceDLLExportedClassMethods();
void propagateDLLAttrToBaseClassTemplate(
CXXRecordDecl *Class, Attr *ClassAttr,
ClassTemplateSpecializationDecl *BaseTemplateSpec,
SourceLocation BaseLoc);
void CheckCompletedCXXClass(CXXRecordDecl *Record);
/// Check that the C++ class annoated with "trivial_abi" satisfies all the
/// conditions that are needed for the attribute to have an effect.
void checkIllFormedTrivialABIStruct(CXXRecordDecl &RD);
void ActOnFinishCXXMemberSpecification(Scope *S, SourceLocation RLoc,
Decl *TagDecl, SourceLocation LBrac,
SourceLocation RBrac,
const ParsedAttributesView &AttrList);
void ActOnFinishCXXMemberDecls();
void ActOnFinishCXXNonNestedClass(Decl *D);
void ActOnReenterCXXMethodParameter(Scope *S, ParmVarDecl *Param);
unsigned ActOnReenterTemplateScope(Scope *S, Decl *Template);
void ActOnStartDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnStartDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnDelayedCXXMethodParameter(Scope *S, Decl *Param);
void ActOnFinishDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnFinishDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnFinishDelayedMemberInitializers(Decl *Record);
void MarkAsLateParsedTemplate(FunctionDecl *FD, Decl *FnD,
CachedTokens &Toks);
void UnmarkAsLateParsedTemplate(FunctionDecl *FD);
bool IsInsideALocalClassWithinATemplateFunction();
Decl *ActOnStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
Expr *AssertMessageExpr,
SourceLocation RParenLoc);
Decl *BuildStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
StringLiteral *AssertMessageExpr,
SourceLocation RParenLoc,
bool Failed);
FriendDecl *CheckFriendTypeDecl(SourceLocation LocStart,
SourceLocation FriendLoc,
TypeSourceInfo *TSInfo);
Decl *ActOnFriendTypeDecl(Scope *S, const DeclSpec &DS,
MultiTemplateParamsArg TemplateParams);
NamedDecl *ActOnFriendFunctionDecl(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParams);
QualType CheckConstructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
void CheckConstructor(CXXConstructorDecl *Constructor);
QualType CheckDestructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
bool CheckDestructor(CXXDestructorDecl *Destructor);
void CheckConversionDeclarator(Declarator &D, QualType &R,
StorageClass& SC);
Decl *ActOnConversionDeclarator(CXXConversionDecl *Conversion);
void CheckDeductionGuideDeclarator(Declarator &D, QualType &R,
StorageClass &SC);
void CheckDeductionGuideTemplate(FunctionTemplateDecl *TD);
void CheckExplicitlyDefaultedSpecialMember(CXXMethodDecl *MD);
void CheckExplicitlyDefaultedMemberExceptionSpec(CXXMethodDecl *MD,
const FunctionProtoType *T);
void CheckDelayedMemberExceptionSpecs();
//===--------------------------------------------------------------------===//
// C++ Derived Classes
//
/// ActOnBaseSpecifier - Parsed a base specifier
CXXBaseSpecifier *CheckBaseSpecifier(CXXRecordDecl *Class,
SourceRange SpecifierRange,
bool Virtual, AccessSpecifier Access,
TypeSourceInfo *TInfo,
SourceLocation EllipsisLoc);
BaseResult ActOnBaseSpecifier(Decl *classdecl,
SourceRange SpecifierRange,
ParsedAttributes &Attrs,
bool Virtual, AccessSpecifier Access,
ParsedType basetype,
SourceLocation BaseLoc,
SourceLocation EllipsisLoc);
bool AttachBaseSpecifiers(CXXRecordDecl *Class,
MutableArrayRef<CXXBaseSpecifier *> Bases);
void ActOnBaseSpecifiers(Decl *ClassDecl,
MutableArrayRef<CXXBaseSpecifier *> Bases);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base,
CXXBasePaths &Paths);
// FIXME: I don't like this name.
void BuildBasePathArray(const CXXBasePaths &Paths, CXXCastPath &BasePath);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
SourceLocation Loc, SourceRange Range,
CXXCastPath *BasePath = nullptr,
bool IgnoreAccess = false);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
unsigned InaccessibleBaseID,
unsigned AmbigiousBaseConvID,
SourceLocation Loc, SourceRange Range,
DeclarationName Name,
CXXCastPath *BasePath,
bool IgnoreAccess = false);
std::string getAmbiguousPathsDisplayString(CXXBasePaths &Paths);
bool CheckOverridingFunctionAttributes(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionReturnType - Checks whether the return types are
/// covariant, according to C++ [class.virtual]p5.
bool CheckOverridingFunctionReturnType(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionExceptionSpec - Checks whether the exception
/// spec is a subset of base spec.
bool CheckOverridingFunctionExceptionSpec(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
bool CheckPureMethod(CXXMethodDecl *Method, SourceRange InitRange);
/// CheckOverrideControl - Check C++11 override control semantics.
void CheckOverrideControl(NamedDecl *D);
/// DiagnoseAbsenceOfOverrideControl - Diagnose if 'override' keyword was
/// not used in the declaration of an overriding method.
void DiagnoseAbsenceOfOverrideControl(NamedDecl *D);
/// CheckForFunctionMarkedFinal - Checks whether a virtual member function
/// overrides a virtual member function marked 'final', according to
/// C++11 [class.virtual]p4.
bool CheckIfOverriddenFunctionIsMarkedFinal(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
//===--------------------------------------------------------------------===//
// C++ Access Control
//
enum AccessResult {
AR_accessible,
AR_inaccessible,
AR_dependent,
AR_delayed
};
bool SetMemberAccessSpecifier(NamedDecl *MemberDecl,
NamedDecl *PrevMemberDecl,
AccessSpecifier LexicalAS);
AccessResult CheckUnresolvedMemberAccess(UnresolvedMemberExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckUnresolvedLookupAccess(UnresolvedLookupExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckAllocationAccess(SourceLocation OperatorLoc,
SourceRange PlacementRange,
CXXRecordDecl *NamingClass,
DeclAccessPair FoundDecl,
bool Diagnose = true);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
bool IsCopyBindingRefToTemp = false);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
const PartialDiagnostic &PDiag);
AccessResult CheckDestructorAccess(SourceLocation Loc,
CXXDestructorDecl *Dtor,
const PartialDiagnostic &PDiag,
QualType objectType = QualType());
AccessResult CheckFriendAccess(NamedDecl *D);
AccessResult CheckMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *NamingClass,
DeclAccessPair Found);
AccessResult
CheckStructuredBindingMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *DecomposedClass,
DeclAccessPair Field);
AccessResult CheckMemberOperatorAccess(SourceLocation Loc,
Expr *ObjectExpr,
Expr *ArgExpr,
DeclAccessPair FoundDecl);
AccessResult CheckAddressOfMemberAccess(Expr *OvlExpr,
DeclAccessPair FoundDecl);
AccessResult CheckBaseClassAccess(SourceLocation AccessLoc,
QualType Base, QualType Derived,
const CXXBasePath &Path,
unsigned DiagID,
bool ForceCheck = false,
bool ForceUnprivileged = false);
void CheckLookupAccess(const LookupResult &R);
bool IsSimplyAccessible(NamedDecl *Decl, CXXRecordDecl *NamingClass,
QualType BaseType);
bool isSpecialMemberAccessibleForDeletion(CXXMethodDecl *decl,
AccessSpecifier access,
QualType objectType);
void HandleDependentAccessCheck(const DependentDiagnostic &DD,
const MultiLevelTemplateArgumentList &TemplateArgs);
void PerformDependentDiagnostics(const DeclContext *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
void HandleDelayedAccessCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
/// When true, access checking violations are treated as SFINAE
/// failures rather than hard errors.
bool AccessCheckingSFINAE;
enum AbstractDiagSelID {
AbstractNone = -1,
AbstractReturnType,
AbstractParamType,
AbstractVariableType,
AbstractFieldType,
AbstractIvarType,
AbstractSynthesizedIvarType,
AbstractArrayType
};
bool isAbstractType(SourceLocation Loc, QualType T);
bool RequireNonAbstractType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
template <typename... Ts>
bool RequireNonAbstractType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireNonAbstractType(Loc, T, Diagnoser);
}
void DiagnoseAbstractType(const CXXRecordDecl *RD);
//===--------------------------------------------------------------------===//
// C++ Overloaded Operators [C++ 13.5]
//
bool CheckOverloadedOperatorDeclaration(FunctionDecl *FnDecl);
bool CheckLiteralOperatorDeclaration(FunctionDecl *FnDecl);
//===--------------------------------------------------------------------===//
// C++ Templates [C++ 14]
//
void FilterAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true);
bool hasAnyAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true);
bool LookupTemplateName(LookupResult &R, Scope *S, CXXScopeSpec &SS,
QualType ObjectType, bool EnteringContext,
bool &MemberOfUnknownSpecialization,
SourceLocation TemplateKWLoc = SourceLocation());
TemplateNameKind isTemplateName(Scope *S,
CXXScopeSpec &SS,
bool hasTemplateKeyword,
const UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template,
bool &MemberOfUnknownSpecialization);
/// Determine whether a particular identifier might be the name in a C++1z
/// deduction-guide declaration.
bool isDeductionGuideName(Scope *S, const IdentifierInfo &Name,
SourceLocation NameLoc,
ParsedTemplateTy *Template = nullptr);
bool DiagnoseUnknownTemplateName(const IdentifierInfo &II,
SourceLocation IILoc,
Scope *S,
const CXXScopeSpec *SS,
TemplateTy &SuggestedTemplate,
TemplateNameKind &SuggestedKind);
bool DiagnoseUninstantiableTemplate(SourceLocation PointOfInstantiation,
NamedDecl *Instantiation,
bool InstantiatedFromMember,
const NamedDecl *Pattern,
const NamedDecl *PatternDef,
TemplateSpecializationKind TSK,
bool Complain = true);
void DiagnoseTemplateParameterShadow(SourceLocation Loc, Decl *PrevDecl);
TemplateDecl *AdjustDeclIfTemplate(Decl *&Decl);
NamedDecl *ActOnTypeParameter(Scope *S, bool Typename,
SourceLocation EllipsisLoc,
SourceLocation KeyLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth, unsigned Position,
SourceLocation EqualLoc,
ParsedType DefaultArg);
QualType CheckNonTypeTemplateParameterType(TypeSourceInfo *&TSI,
SourceLocation Loc);
QualType CheckNonTypeTemplateParameterType(QualType T, SourceLocation Loc);
NamedDecl *ActOnNonTypeTemplateParameter(Scope *S, Declarator &D,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
Expr *DefaultArg);
NamedDecl *ActOnTemplateTemplateParameter(Scope *S,
SourceLocation TmpLoc,
TemplateParameterList *Params,
SourceLocation EllipsisLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
ParsedTemplateArgument DefaultArg);
TemplateParameterList *
ActOnTemplateParameterList(unsigned Depth,
SourceLocation ExportLoc,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ArrayRef<NamedDecl *> Params,
SourceLocation RAngleLoc,
Expr *RequiresClause);
/// The context in which we are checking a template parameter list.
enum TemplateParamListContext {
TPC_ClassTemplate,
TPC_VarTemplate,
TPC_FunctionTemplate,
TPC_ClassTemplateMember,
TPC_FriendClassTemplate,
TPC_FriendFunctionTemplate,
TPC_FriendFunctionTemplateDefinition,
TPC_TypeAliasTemplate
};
bool CheckTemplateParameterList(TemplateParameterList *NewParams,
TemplateParameterList *OldParams,
TemplateParamListContext TPC,
SkipBodyInfo *SkipBody = nullptr);
TemplateParameterList *MatchTemplateParametersToScopeSpecifier(
SourceLocation DeclStartLoc, SourceLocation DeclLoc,
const CXXScopeSpec &SS, TemplateIdAnnotation *TemplateId,
ArrayRef<TemplateParameterList *> ParamLists,
bool IsFriend, bool &IsMemberSpecialization, bool &Invalid);
DeclResult CheckClassTemplate(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name, SourceLocation NameLoc,
const ParsedAttributesView &Attr, TemplateParameterList *TemplateParams,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
SourceLocation FriendLoc, unsigned NumOuterTemplateParamLists,
TemplateParameterList **OuterTemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
TemplateArgumentLoc getTrivialTemplateArgumentLoc(const TemplateArgument &Arg,
QualType NTTPType,
SourceLocation Loc);
void translateTemplateArguments(const ASTTemplateArgsPtr &In,
TemplateArgumentListInfo &Out);
ParsedTemplateArgument ActOnTemplateTypeArgument(TypeResult ParsedType);
void NoteAllFoundTemplates(TemplateName Name);
QualType CheckTemplateIdType(TemplateName Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs);
TypeResult
ActOnTemplateIdType(CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
TemplateTy Template, IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
bool IsCtorOrDtorName = false,
bool IsClassName = false);
/// Parsed an elaborated-type-specifier that refers to a template-id,
/// such as \c class T::template apply<U>.
TypeResult ActOnTagTemplateIdType(TagUseKind TUK,
TypeSpecifierType TagSpec,
SourceLocation TagLoc,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateD,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgsIn,
SourceLocation RAngleLoc);
DeclResult ActOnVarTemplateSpecialization(
Scope *S, Declarator &D, TypeSourceInfo *DI,
SourceLocation TemplateKWLoc, TemplateParameterList *TemplateParams,
StorageClass SC, bool IsPartialSpecialization);
DeclResult CheckVarTemplateId(VarTemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation TemplateNameLoc,
const TemplateArgumentListInfo &TemplateArgs);
ExprResult CheckVarTemplateId(const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
VarTemplateDecl *Template,
SourceLocation TemplateLoc,
const TemplateArgumentListInfo *TemplateArgs);
void diagnoseMissingTemplateArguments(TemplateName Name, SourceLocation Loc);
ExprResult BuildTemplateIdExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
bool RequiresADL,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildQualifiedTemplateIdExpr(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
TemplateNameKind ActOnDependentTemplateName(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
const UnqualifiedId &Name, ParsedType ObjectType, bool EnteringContext,
TemplateTy &Template, bool AllowInjectedClassName = false);
DeclResult ActOnClassTemplateSpecialization(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
SourceLocation ModulePrivateLoc, TemplateIdAnnotation &TemplateId,
const ParsedAttributesView &Attr,
MultiTemplateParamsArg TemplateParameterLists,
SkipBodyInfo *SkipBody = nullptr);
bool CheckTemplatePartialSpecializationArgs(SourceLocation Loc,
TemplateDecl *PrimaryTemplate,
unsigned NumExplicitArgs,
ArrayRef<TemplateArgument> Args);
void CheckTemplatePartialSpecialization(
ClassTemplatePartialSpecializationDecl *Partial);
void CheckTemplatePartialSpecialization(
VarTemplatePartialSpecializationDecl *Partial);
Decl *ActOnTemplateDeclarator(Scope *S,
MultiTemplateParamsArg TemplateParameterLists,
Declarator &D);
bool
CheckSpecializationInstantiationRedecl(SourceLocation NewLoc,
TemplateSpecializationKind NewTSK,
NamedDecl *PrevDecl,
TemplateSpecializationKind PrevTSK,
SourceLocation PrevPtOfInstantiation,
bool &SuppressNew);
bool CheckDependentFunctionTemplateSpecialization(FunctionDecl *FD,
const TemplateArgumentListInfo &ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckFunctionTemplateSpecialization(
FunctionDecl *FD, TemplateArgumentListInfo *ExplicitTemplateArgs,
LookupResult &Previous, bool QualifiedFriend = false);
bool CheckMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
void CompleteMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
DeclResult ActOnExplicitInstantiation(
Scope *S, SourceLocation ExternLoc, SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc, const CXXScopeSpec &SS,
TemplateTy Template, SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc, ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc, const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S, SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
Declarator &D);
TemplateArgumentLoc
SubstDefaultTemplateArgumentIfAvailable(TemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
Decl *Param,
SmallVectorImpl<TemplateArgument>
&Converted,
bool &HasDefaultArg);
/// Specifies the context in which a particular template
/// argument is being checked.
enum CheckTemplateArgumentKind {
/// The template argument was specified in the code or was
/// instantiated with some deduced template arguments.
CTAK_Specified,
/// The template argument was deduced via template argument
/// deduction.
CTAK_Deduced,
/// The template argument was deduced from an array bound
/// via template argument deduction.
CTAK_DeducedFromArrayBound
};
bool CheckTemplateArgument(NamedDecl *Param,
TemplateArgumentLoc &Arg,
NamedDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
unsigned ArgumentPackIndex,
SmallVectorImpl<TemplateArgument> &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
/// Check that the given template arguments can be be provided to
/// the given template, converting the arguments along the way.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateLoc The location of the template name in the source.
///
/// \param TemplateArgs The list of template arguments. If the template is
/// a template template parameter, this function may extend the set of
/// template arguments to also include substituted, defaulted template
/// arguments.
///
/// \param PartialTemplateArgs True if the list of template arguments is
/// intentionally partial, e.g., because we're checking just the initial
/// set of template arguments.
///
/// \param Converted Will receive the converted, canonicalized template
/// arguments.
///
/// \param UpdateArgsWithConversions If \c true, update \p TemplateArgs to
/// contain the converted forms of the template arguments as written.
/// Otherwise, \p TemplateArgs will not be modified.
///
/// \returns true if an error occurred, false otherwise.
bool CheckTemplateArgumentList(TemplateDecl *Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs,
bool PartialTemplateArgs,
SmallVectorImpl<TemplateArgument> &Converted,
bool UpdateArgsWithConversions = true);
bool CheckTemplateTypeArgument(TemplateTypeParmDecl *Param,
TemplateArgumentLoc &Arg,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateArgument(TemplateTypeParmDecl *Param,
TypeSourceInfo *Arg);
ExprResult CheckTemplateArgument(NonTypeTemplateParmDecl *Param,
QualType InstantiatedParamType, Expr *Arg,
TemplateArgument &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
bool CheckTemplateTemplateArgument(TemplateParameterList *Params,
TemplateArgumentLoc &Arg);
ExprResult
BuildExpressionFromDeclTemplateArgument(const TemplateArgument &Arg,
QualType ParamType,
SourceLocation Loc);
ExprResult
BuildExpressionFromIntegralTemplateArgument(const TemplateArgument &Arg,
SourceLocation Loc);
/// Enumeration describing how template parameter lists are compared
/// for equality.
enum TemplateParameterListEqualKind {
/// We are matching the template parameter lists of two templates
/// that might be redeclarations.
///
/// \code
/// template<typename T> struct X;
/// template<typename T> struct X;
/// \endcode
TPL_TemplateMatch,
/// We are matching the template parameter lists of two template
/// template parameters as part of matching the template parameter lists
/// of two templates that might be redeclarations.
///
/// \code
/// template<template<int I> class TT> struct X;
/// template<template<int Value> class Other> struct X;
/// \endcode
TPL_TemplateTemplateParmMatch,
/// We are matching the template parameter lists of a template
/// template argument against the template parameter lists of a template
/// template parameter.
///
/// \code
/// template<template<int Value> class Metafun> struct X;
/// template<int Value> struct integer_c;
/// X<integer_c> xic;
/// \endcode
TPL_TemplateTemplateArgumentMatch
};
bool TemplateParameterListsAreEqual(TemplateParameterList *New,
TemplateParameterList *Old,
bool Complain,
TemplateParameterListEqualKind Kind,
SourceLocation TemplateArgLoc
= SourceLocation());
bool CheckTemplateDeclScope(Scope *S, TemplateParameterList *TemplateParams);
/// Called when the parser has parsed a C++ typename
/// specifier, e.g., "typename T::type".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param II the identifier we're retrieving (e.g., 'type' in the example).
/// \param IdLoc the location of the identifier.
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS, const IdentifierInfo &II,
SourceLocation IdLoc);
/// Called when the parser has parsed a C++ typename
/// specifier that ends in a template-id, e.g.,
/// "typename MetaFun::template apply<T1, T2>".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param TemplateLoc the location of the 'template' keyword, if any.
/// \param TemplateName The template name.
/// \param TemplateII The identifier used to name the template.
/// \param TemplateIILoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateLoc,
TemplateTy TemplateName,
IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc);
TypeSourceInfo *RebuildTypeInCurrentInstantiation(TypeSourceInfo *T,
SourceLocation Loc,
DeclarationName Name);
bool RebuildNestedNameSpecifierInCurrentInstantiation(CXXScopeSpec &SS);
ExprResult RebuildExprInCurrentInstantiation(Expr *E);
bool RebuildTemplateParamsInCurrentInstantiation(
TemplateParameterList *Params);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgumentList &Args);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgument *Args,
unsigned NumArgs);
//===--------------------------------------------------------------------===//
// C++ Variadic Templates (C++0x [temp.variadic])
//===--------------------------------------------------------------------===//
/// Determine whether an unexpanded parameter pack might be permitted in this
/// location. Useful for error recovery.
bool isUnexpandedParameterPackPermitted();
/// The context in which an unexpanded parameter pack is
/// being diagnosed.
///
/// Note that the values of this enumeration line up with the first
/// argument to the \c err_unexpanded_parameter_pack diagnostic.
enum UnexpandedParameterPackContext {
/// An arbitrary expression.
UPPC_Expression = 0,
/// The base type of a class type.
UPPC_BaseType,
/// The type of an arbitrary declaration.
UPPC_DeclarationType,
/// The type of a data member.
UPPC_DataMemberType,
/// The size of a bit-field.
UPPC_BitFieldWidth,
/// The expression in a static assertion.
UPPC_StaticAssertExpression,
/// The fixed underlying type of an enumeration.
UPPC_FixedUnderlyingType,
/// The enumerator value.
UPPC_EnumeratorValue,
/// A using declaration.
UPPC_UsingDeclaration,
/// A friend declaration.
UPPC_FriendDeclaration,
/// A declaration qualifier.
UPPC_DeclarationQualifier,
/// An initializer.
UPPC_Initializer,
/// A default argument.
UPPC_DefaultArgument,
/// The type of a non-type template parameter.
UPPC_NonTypeTemplateParameterType,
/// The type of an exception.
UPPC_ExceptionType,
/// Partial specialization.
UPPC_PartialSpecialization,
/// Microsoft __if_exists.
UPPC_IfExists,
/// Microsoft __if_not_exists.
UPPC_IfNotExists,
/// Lambda expression.
UPPC_Lambda,
/// Block expression,
UPPC_Block
};
/// Diagnose unexpanded parameter packs.
///
/// \param Loc The location at which we should emit the diagnostic.
///
/// \param UPPC The context in which we are diagnosing unexpanded
/// parameter packs.
///
/// \param Unexpanded the set of unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPacks(SourceLocation Loc,
UnexpandedParameterPackContext UPPC,
ArrayRef<UnexpandedParameterPack> Unexpanded);
/// If the given type contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The source location where a diagnostc should be emitted.
///
/// \param T The type that is being checked for unexpanded parameter
/// packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc, TypeSourceInfo *T,
UnexpandedParameterPackContext UPPC);
/// If the given expression contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param E The expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(Expr *E,
UnexpandedParameterPackContext UPPC = UPPC_Expression);
/// If the given nested-name-specifier contains an unexpanded
/// parameter pack, diagnose the error.
///
/// \param SS The nested-name-specifier that is being checked for
/// unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const CXXScopeSpec &SS,
UnexpandedParameterPackContext UPPC);
/// If the given name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param NameInfo The name (with source location information) that
/// is being checked for unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const DeclarationNameInfo &NameInfo,
UnexpandedParameterPackContext UPPC);
/// If the given template name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The location of the template name.
///
/// \param Template The template name that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc,
TemplateName Template,
UnexpandedParameterPackContext UPPC);
/// If the given template argument contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param Arg The template argument that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(TemplateArgumentLoc Arg,
UnexpandedParameterPackContext UPPC);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgument Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgumentLoc Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param T The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(QualType T,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param TL The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TypeLoc TL,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// nested-name-specifier.
///
/// \param NNS The nested-name-specifier that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(NestedNameSpecifierLoc NNS,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// name.
///
/// \param NameInfo The name that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(const DeclarationNameInfo &NameInfo,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Invoked when parsing a template argument followed by an
/// ellipsis, which creates a pack expansion.
///
/// \param Arg The template argument preceding the ellipsis, which
/// may already be invalid.
///
/// \param EllipsisLoc The location of the ellipsis.
ParsedTemplateArgument ActOnPackExpansion(const ParsedTemplateArgument &Arg,
SourceLocation EllipsisLoc);
/// Invoked when parsing a type followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Type The type preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
TypeResult ActOnPackExpansion(ParsedType Type, SourceLocation EllipsisLoc);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
TypeSourceInfo *CheckPackExpansion(TypeSourceInfo *Pattern,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
QualType CheckPackExpansion(QualType Pattern,
SourceRange PatternRange,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult ActOnPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult CheckPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Determine whether we could expand a pack expansion with the
/// given set of parameter packs into separate arguments by repeatedly
/// transforming the pattern.
///
/// \param EllipsisLoc The location of the ellipsis that identifies the
/// pack expansion.
///
/// \param PatternRange The source range that covers the entire pattern of
/// the pack expansion.
///
/// \param Unexpanded The set of unexpanded parameter packs within the
/// pattern.
///
/// \param ShouldExpand Will be set to \c true if the transformer should
/// expand the corresponding pack expansions into separate arguments. When
/// set, \c NumExpansions must also be set.
///
/// \param RetainExpansion Whether the caller should add an unexpanded
/// pack expansion after all of the expanded arguments. This is used
/// when extending explicitly-specified template argument packs per
/// C++0x [temp.arg.explicit]p9.
///
/// \param NumExpansions The number of separate arguments that will be in
/// the expanded form of the corresponding pack expansion. This is both an
/// input and an output parameter, which can be set by the caller if the
/// number of expansions is known a priori (e.g., due to a prior substitution)
/// and will be set by the callee when the number of expansions is known.
/// The callee must set this value when \c ShouldExpand is \c true; it may
/// set this value in other cases.
///
/// \returns true if an error occurred (e.g., because the parameter packs
/// are to be instantiated with arguments of different lengths), false
/// otherwise. If false, \c ShouldExpand (and possibly \c NumExpansions)
/// must be set.
bool CheckParameterPacksForExpansion(SourceLocation EllipsisLoc,
SourceRange PatternRange,
ArrayRef<UnexpandedParameterPack> Unexpanded,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool &ShouldExpand,
bool &RetainExpansion,
Optional<unsigned> &NumExpansions);
/// Determine the number of arguments in the given pack expansion
/// type.
///
/// This routine assumes that the number of arguments in the expansion is
/// consistent across all of the unexpanded parameter packs in its pattern.
///
/// Returns an empty Optional if the type can't be expanded.
Optional<unsigned> getNumArgumentsInExpansion(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Determine whether the given declarator contains any unexpanded
/// parameter packs.
///
/// This routine is used by the parser to disambiguate function declarators
/// with an ellipsis prior to the ')', e.g.,
///
/// \code
/// void f(T...);
/// \endcode
///
/// To determine whether we have an (unnamed) function parameter pack or
/// a variadic function.
///
/// \returns true if the declarator contains any unexpanded parameter packs,
/// false otherwise.
bool containsUnexpandedParameterPacks(Declarator &D);
/// Returns the pattern of the pack expansion for a template argument.
///
/// \param OrigLoc The template argument to expand.
///
/// \param Ellipsis Will be set to the location of the ellipsis.
///
/// \param NumExpansions Will be set to the number of expansions that will
/// be generated from this pack expansion, if known a priori.
TemplateArgumentLoc getTemplateArgumentPackExpansionPattern(
TemplateArgumentLoc OrigLoc,
SourceLocation &Ellipsis,
Optional<unsigned> &NumExpansions) const;
/// Given a template argument that contains an unexpanded parameter pack, but
/// which has already been substituted, attempt to determine the number of
/// elements that will be produced once this argument is fully-expanded.
///
/// This is intended for use when transforming 'sizeof...(Arg)' in order to
/// avoid actually expanding the pack where possible.
Optional<unsigned> getFullyPackExpandedSize(TemplateArgument Arg);
//===--------------------------------------------------------------------===//
// C++ Template Argument Deduction (C++ [temp.deduct])
//===--------------------------------------------------------------------===//
/// Adjust the type \p ArgFunctionType to match the calling convention,
/// noreturn, and optionally the exception specification of \p FunctionType.
/// Deduction often wants to ignore these properties when matching function
/// types.
QualType adjustCCAndNoReturn(QualType ArgFunctionType, QualType FunctionType,
bool AdjustExceptionSpec = false);
/// Describes the result of template argument deduction.
///
/// The TemplateDeductionResult enumeration describes the result of
/// template argument deduction, as returned from
/// DeduceTemplateArguments(). The separate TemplateDeductionInfo
/// structure provides additional information about the results of
/// template argument deduction, e.g., the deduced template argument
/// list (if successful) or the specific template parameters or
/// deduced arguments that were involved in the failure.
enum TemplateDeductionResult {
/// Template argument deduction was successful.
TDK_Success = 0,
/// The declaration was invalid; do nothing.
TDK_Invalid,
/// Template argument deduction exceeded the maximum template
/// instantiation depth (which has already been diagnosed).
TDK_InstantiationDepth,
/// Template argument deduction did not deduce a value
/// for every template parameter.
TDK_Incomplete,
/// Template argument deduction did not deduce a value for every
/// expansion of an expanded template parameter pack.
TDK_IncompletePack,
/// Template argument deduction produced inconsistent
/// deduced values for the given template parameter.
TDK_Inconsistent,
/// Template argument deduction failed due to inconsistent
/// cv-qualifiers on a template parameter type that would
/// otherwise be deduced, e.g., we tried to deduce T in "const T"
/// but were given a non-const "X".
TDK_Underqualified,
/// Substitution of the deduced template argument values
/// resulted in an error.
TDK_SubstitutionFailure,
/// After substituting deduced template arguments, a dependent
/// parameter type did not match the corresponding argument.
TDK_DeducedMismatch,
/// After substituting deduced template arguments, an element of
/// a dependent parameter type did not match the corresponding element
/// of the corresponding argument (when deducing from an initializer list).
TDK_DeducedMismatchNested,
/// A non-depnedent component of the parameter did not match the
/// corresponding component of the argument.
TDK_NonDeducedMismatch,
/// When performing template argument deduction for a function
/// template, there were too many call arguments.
TDK_TooManyArguments,
/// When performing template argument deduction for a function
/// template, there were too few call arguments.
TDK_TooFewArguments,
/// The explicitly-specified template arguments were not valid
/// template arguments for the given template.
TDK_InvalidExplicitArguments,
/// Checking non-dependent argument conversions failed.
TDK_NonDependentConversionFailure,
/// Deduction failed; that's all we know.
TDK_MiscellaneousDeductionFailure,
/// CUDA Target attributes do not match.
TDK_CUDATargetMismatch
};
TemplateDeductionResult
DeduceTemplateArguments(ClassTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(VarTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult SubstituteExplicitTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo &ExplicitTemplateArgs,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
SmallVectorImpl<QualType> &ParamTypes, QualType *FunctionType,
sema::TemplateDeductionInfo &Info);
/// brief A function argument from which we performed template argument
// deduction for a call.
struct OriginalCallArg {
OriginalCallArg(QualType OriginalParamType, bool DecomposedParam,
unsigned ArgIdx, QualType OriginalArgType)
: OriginalParamType(OriginalParamType),
DecomposedParam(DecomposedParam), ArgIdx(ArgIdx),
OriginalArgType(OriginalArgType) {}
QualType OriginalParamType;
bool DecomposedParam;
unsigned ArgIdx;
QualType OriginalArgType;
};
TemplateDeductionResult FinishTemplateArgumentDeduction(
FunctionTemplateDecl *FunctionTemplate,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
unsigned NumExplicitlySpecified, FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
SmallVectorImpl<OriginalCallArg> const *OriginalCallArgs = nullptr,
bool PartialOverloading = false,
llvm::function_ref<bool()> CheckNonDependent = []{ return false; });
TemplateDeductionResult DeduceTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
FunctionDecl *&Specialization, sema::TemplateDeductionInfo &Info,
bool PartialOverloading,
llvm::function_ref<bool(ArrayRef<QualType>)> CheckNonDependent);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ArgFunctionType,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
QualType ToType,
CXXConversionDecl *&Specialization,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
/// Substitute Replacement for \p auto in \p TypeWithAuto
QualType SubstAutoType(QualType TypeWithAuto, QualType Replacement);
/// Substitute Replacement for auto in TypeWithAuto
TypeSourceInfo* SubstAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
/// Completely replace the \c auto in \p TypeWithAuto by
/// \p Replacement. This does not retain any \c auto type sugar.
QualType ReplaceAutoType(QualType TypeWithAuto, QualType Replacement);
/// Result type of DeduceAutoType.
enum DeduceAutoResult {
DAR_Succeeded,
DAR_Failed,
DAR_FailedAlreadyDiagnosed
};
DeduceAutoResult
DeduceAutoType(TypeSourceInfo *AutoType, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None);
DeduceAutoResult
DeduceAutoType(TypeLoc AutoTypeLoc, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None);
void DiagnoseAutoDeductionFailure(VarDecl *VDecl, Expr *Init);
bool DeduceReturnType(FunctionDecl *FD, SourceLocation Loc,
bool Diagnose = true);
/// Declare implicit deduction guides for a class template if we've
/// not already done so.
void DeclareImplicitDeductionGuides(TemplateDecl *Template,
SourceLocation Loc);
QualType DeduceTemplateSpecializationFromInitializer(
TypeSourceInfo *TInfo, const InitializedEntity &Entity,
const InitializationKind &Kind, MultiExprArg Init);
QualType deduceVarTypeFromInitializer(VarDecl *VDecl, DeclarationName Name,
QualType Type, TypeSourceInfo *TSI,
SourceRange Range, bool DirectInit,
Expr *&Init);
TypeLoc getReturnTypeLoc(FunctionDecl *FD) const;
bool DeduceFunctionTypeFromReturnExpr(FunctionDecl *FD,
SourceLocation ReturnLoc,
Expr *&RetExpr, AutoType *AT);
FunctionTemplateDecl *getMoreSpecializedTemplate(FunctionTemplateDecl *FT1,
FunctionTemplateDecl *FT2,
SourceLocation Loc,
TemplatePartialOrderingContext TPOC,
unsigned NumCallArguments1,
unsigned NumCallArguments2);
UnresolvedSetIterator
getMostSpecialized(UnresolvedSetIterator SBegin, UnresolvedSetIterator SEnd,
TemplateSpecCandidateSet &FailedCandidates,
SourceLocation Loc,
const PartialDiagnostic &NoneDiag,
const PartialDiagnostic &AmbigDiag,
const PartialDiagnostic &CandidateDiag,
bool Complain = true, QualType TargetType = QualType());
ClassTemplatePartialSpecializationDecl *
getMoreSpecializedPartialSpecialization(
ClassTemplatePartialSpecializationDecl *PS1,
ClassTemplatePartialSpecializationDecl *PS2,
SourceLocation Loc);
bool isMoreSpecializedThanPrimary(ClassTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
VarTemplatePartialSpecializationDecl *getMoreSpecializedPartialSpecialization(
VarTemplatePartialSpecializationDecl *PS1,
VarTemplatePartialSpecializationDecl *PS2, SourceLocation Loc);
bool isMoreSpecializedThanPrimary(VarTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
bool isTemplateTemplateParameterAtLeastAsSpecializedAs(
TemplateParameterList *P, TemplateDecl *AArg, SourceLocation Loc);
void MarkUsedTemplateParameters(const TemplateArgumentList &TemplateArgs,
bool OnlyDeduced,
unsigned Depth,
llvm::SmallBitVector &Used);
void MarkDeducedTemplateParameters(
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced) {
return MarkDeducedTemplateParameters(Context, FunctionTemplate, Deduced);
}
static void MarkDeducedTemplateParameters(ASTContext &Ctx,
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced);
//===--------------------------------------------------------------------===//
// C++ Template Instantiation
//
MultiLevelTemplateArgumentList
getTemplateInstantiationArgs(NamedDecl *D,
const TemplateArgumentList *Innermost = nullptr,
bool RelativeToPrimary = false,
const FunctionDecl *Pattern = nullptr);
/// A context in which code is being synthesized (where a source location
/// alone is not sufficient to identify the context). This covers template
/// instantiation and various forms of implicitly-generated functions.
struct CodeSynthesisContext {
/// The kind of template instantiation we are performing
enum SynthesisKind {
/// We are instantiating a template declaration. The entity is
/// the declaration we're instantiating (e.g., a CXXRecordDecl).
TemplateInstantiation,
/// We are instantiating a default argument for a template
/// parameter. The Entity is the template parameter whose argument is
/// being instantiated, the Template is the template, and the
/// TemplateArgs/NumTemplateArguments provide the template arguments as
/// specified.
DefaultTemplateArgumentInstantiation,
/// We are instantiating a default argument for a function.
/// The Entity is the ParmVarDecl, and TemplateArgs/NumTemplateArgs
/// provides the template arguments as specified.
DefaultFunctionArgumentInstantiation,
/// We are substituting explicit template arguments provided for
/// a function template. The entity is a FunctionTemplateDecl.
ExplicitTemplateArgumentSubstitution,
/// We are substituting template argument determined as part of
/// template argument deduction for either a class template
/// partial specialization or a function template. The
/// Entity is either a {Class|Var}TemplatePartialSpecializationDecl or
/// a TemplateDecl.
DeducedTemplateArgumentSubstitution,
/// We are substituting prior template arguments into a new
/// template parameter. The template parameter itself is either a
/// NonTypeTemplateParmDecl or a TemplateTemplateParmDecl.
PriorTemplateArgumentSubstitution,
/// We are checking the validity of a default template argument that
/// has been used when naming a template-id.
DefaultTemplateArgumentChecking,
/// We are computing the exception specification for a defaulted special
/// member function.
ExceptionSpecEvaluation,
/// We are instantiating the exception specification for a function
/// template which was deferred until it was needed.
ExceptionSpecInstantiation,
/// We are declaring an implicit special member function.
DeclaringSpecialMember,
/// We are defining a synthesized function (such as a defaulted special
/// member).
DefiningSynthesizedFunction,
/// Added for Template instantiation observation.
/// Memoization means we are _not_ instantiating a template because
/// it is already instantiated (but we entered a context where we
/// would have had to if it was not already instantiated).
Memoization
} Kind;
/// Was the enclosing context a non-instantiation SFINAE context?
bool SavedInNonInstantiationSFINAEContext;
/// The point of instantiation or synthesis within the source code.
SourceLocation PointOfInstantiation;
/// The entity that is being synthesized.
Decl *Entity;
/// The template (or partial specialization) in which we are
/// performing the instantiation, for substitutions of prior template
/// arguments.
NamedDecl *Template;
/// The list of template arguments we are substituting, if they
/// are not part of the entity.
const TemplateArgument *TemplateArgs;
// FIXME: Wrap this union around more members, or perhaps store the
// kind-specific members in the RAII object owning the context.
union {
/// The number of template arguments in TemplateArgs.
unsigned NumTemplateArgs;
/// The special member being declared or defined.
CXXSpecialMember SpecialMember;
};
ArrayRef<TemplateArgument> template_arguments() const {
assert(Kind != DeclaringSpecialMember);
return {TemplateArgs, NumTemplateArgs};
}
/// The template deduction info object associated with the
/// substitution or checking of explicit or deduced template arguments.
sema::TemplateDeductionInfo *DeductionInfo;
/// The source range that covers the construct that cause
/// the instantiation, e.g., the template-id that causes a class
/// template instantiation.
SourceRange InstantiationRange;
CodeSynthesisContext()
: Kind(TemplateInstantiation), Entity(nullptr), Template(nullptr),
TemplateArgs(nullptr), NumTemplateArgs(0), DeductionInfo(nullptr) {}
/// Determines whether this template is an actual instantiation
/// that should be counted toward the maximum instantiation depth.
bool isInstantiationRecord() const;
};
/// List of active code synthesis contexts.
///
/// This vector is treated as a stack. As synthesis of one entity requires
/// synthesis of another, additional contexts are pushed onto the stack.
SmallVector<CodeSynthesisContext, 16> CodeSynthesisContexts;
/// Specializations whose definitions are currently being instantiated.
llvm::DenseSet<std::pair<Decl *, unsigned>> InstantiatingSpecializations;
/// Non-dependent types used in templates that have already been instantiated
/// by some template instantiation.
llvm::DenseSet<QualType> InstantiatedNonDependentTypes;
/// Extra modules inspected when performing a lookup during a template
/// instantiation. Computed lazily.
SmallVector<Module*, 16> CodeSynthesisContextLookupModules;
/// Cache of additional modules that should be used for name lookup
/// within the current template instantiation. Computed lazily; use
/// getLookupModules() to get a complete set.
llvm::DenseSet<Module*> LookupModulesCache;
/// Get the set of additional modules that should be checked during
/// name lookup. A module and its imports become visible when instanting a
/// template defined within it.
llvm::DenseSet<Module*> &getLookupModules();
/// Map from the most recent declaration of a namespace to the most
/// recent visible declaration of that namespace.
llvm::DenseMap<NamedDecl*, NamedDecl*> VisibleNamespaceCache;
/// Whether we are in a SFINAE context that is not associated with
/// template instantiation.
///
/// This is used when setting up a SFINAE trap (\c see SFINAETrap) outside
/// of a template instantiation or template argument deduction.
bool InNonInstantiationSFINAEContext;
/// The number of \p CodeSynthesisContexts that are not template
/// instantiations and, therefore, should not be counted as part of the
/// instantiation depth.
///
/// When the instantiation depth reaches the user-configurable limit
/// \p LangOptions::InstantiationDepth we will abort instantiation.
// FIXME: Should we have a similar limit for other forms of synthesis?
unsigned NonInstantiationEntries;
/// The depth of the context stack at the point when the most recent
/// error or warning was produced.
///
/// This value is used to suppress printing of redundant context stacks
/// when there are multiple errors or warnings in the same instantiation.
// FIXME: Does this belong in Sema? It's tough to implement it anywhere else.
unsigned LastEmittedCodeSynthesisContextDepth = 0;
/// The template instantiation callbacks to trace or track
/// instantiations (objects can be chained).
///
/// This callbacks is used to print, trace or track template
/// instantiations as they are being constructed.
std::vector<std::unique_ptr<TemplateInstantiationCallback>>
TemplateInstCallbacks;
/// The current index into pack expansion arguments that will be
/// used for substitution of parameter packs.
///
/// The pack expansion index will be -1 to indicate that parameter packs
/// should be instantiated as themselves. Otherwise, the index specifies
/// which argument within the parameter pack will be used for substitution.
int ArgumentPackSubstitutionIndex;
/// RAII object used to change the argument pack substitution index
/// within a \c Sema object.
///
/// See \c ArgumentPackSubstitutionIndex for more information.
class ArgumentPackSubstitutionIndexRAII {
Sema &Self;
int OldSubstitutionIndex;
public:
ArgumentPackSubstitutionIndexRAII(Sema &Self, int NewSubstitutionIndex)
: Self(Self), OldSubstitutionIndex(Self.ArgumentPackSubstitutionIndex) {
Self.ArgumentPackSubstitutionIndex = NewSubstitutionIndex;
}
~ArgumentPackSubstitutionIndexRAII() {
Self.ArgumentPackSubstitutionIndex = OldSubstitutionIndex;
}
};
friend class ArgumentPackSubstitutionRAII;
/// For each declaration that involved template argument deduction, the
/// set of diagnostics that were suppressed during that template argument
/// deduction.
///
/// FIXME: Serialize this structure to the AST file.
typedef llvm::DenseMap<Decl *, SmallVector<PartialDiagnosticAt, 1> >
SuppressedDiagnosticsMap;
SuppressedDiagnosticsMap SuppressedDiagnostics;
/// A stack object to be created when performing template
/// instantiation.
///
/// Construction of an object of type \c InstantiatingTemplate
/// pushes the current instantiation onto the stack of active
/// instantiations. If the size of this stack exceeds the maximum
/// number of recursive template instantiations, construction
/// produces an error and evaluates true.
///
/// Destruction of this object will pop the named instantiation off
/// the stack.
struct InstantiatingTemplate {
/// Note that we are instantiating a class template,
/// function template, variable template, alias template,
/// or a member thereof.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
Decl *Entity,
SourceRange InstantiationRange = SourceRange());
struct ExceptionSpecification {};
/// Note that we are instantiating an exception specification
/// of a function template.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionDecl *Entity, ExceptionSpecification,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument in a
/// template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateParameter Param, TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting either explicitly-specified or
/// deduced template arguments during function template argument deduction.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionTemplateDecl *FunctionTemplate,
ArrayRef<TemplateArgument> TemplateArgs,
CodeSynthesisContext::SynthesisKind Kind,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template declaration.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ClassTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a variable template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
VarTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument for a function
/// parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParmVarDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting prior template arguments into a
/// non-type parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
NonTypeTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are substituting prior template arguments into a
/// template template parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
TemplateTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are checking the default template argument
/// against the template parameter for a given template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
NamedDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we have finished instantiating this template.
void Clear();
~InstantiatingTemplate() { Clear(); }
/// Determines whether we have exceeded the maximum
/// recursive template instantiations.
bool isInvalid() const { return Invalid; }
/// Determine whether we are already instantiating this
/// specialization in some surrounding active instantiation.
bool isAlreadyInstantiating() const { return AlreadyInstantiating; }
private:
Sema &SemaRef;
bool Invalid;
bool AlreadyInstantiating;
bool CheckInstantiationDepth(SourceLocation PointOfInstantiation,
SourceRange InstantiationRange);
InstantiatingTemplate(
Sema &SemaRef, CodeSynthesisContext::SynthesisKind Kind,
SourceLocation PointOfInstantiation, SourceRange InstantiationRange,
Decl *Entity, NamedDecl *Template = nullptr,
ArrayRef<TemplateArgument> TemplateArgs = None,
sema::TemplateDeductionInfo *DeductionInfo = nullptr);
InstantiatingTemplate(const InstantiatingTemplate&) = delete;
InstantiatingTemplate&
operator=(const InstantiatingTemplate&) = delete;
};
void pushCodeSynthesisContext(CodeSynthesisContext Ctx);
void popCodeSynthesisContext();
/// Determine whether we are currently performing template instantiation.
bool inTemplateInstantiation() const {
return CodeSynthesisContexts.size() > NonInstantiationEntries;
}
void PrintContextStack() {
if (!CodeSynthesisContexts.empty() &&
CodeSynthesisContexts.size() != LastEmittedCodeSynthesisContextDepth) {
PrintInstantiationStack();
LastEmittedCodeSynthesisContextDepth = CodeSynthesisContexts.size();
}
if (PragmaAttributeCurrentTargetDecl)
PrintPragmaAttributeInstantiationPoint();
}
void PrintInstantiationStack();
void PrintPragmaAttributeInstantiationPoint();
/// Determines whether we are currently in a context where
/// template argument substitution failures are not considered
/// errors.
///
/// \returns An empty \c Optional if we're not in a SFINAE context.
/// Otherwise, contains a pointer that, if non-NULL, contains the nearest
/// template-deduction context object, which can be used to capture
/// diagnostics that will be suppressed.
Optional<sema::TemplateDeductionInfo *> isSFINAEContext() const;
/// Determines whether we are currently in a context that
/// is not evaluated as per C++ [expr] p5.
bool isUnevaluatedContext() const {
assert(!ExprEvalContexts.empty() &&
"Must be in an expression evaluation context");
return ExprEvalContexts.back().isUnevaluated();
}
/// RAII class used to determine whether SFINAE has
/// trapped any errors that occur during template argument
/// deduction.
class SFINAETrap {
Sema &SemaRef;
unsigned PrevSFINAEErrors;
bool PrevInNonInstantiationSFINAEContext;
bool PrevAccessCheckingSFINAE;
bool PrevLastDiagnosticIgnored;
public:
explicit SFINAETrap(Sema &SemaRef, bool AccessCheckingSFINAE = false)
: SemaRef(SemaRef), PrevSFINAEErrors(SemaRef.NumSFINAEErrors),
PrevInNonInstantiationSFINAEContext(
SemaRef.InNonInstantiationSFINAEContext),
PrevAccessCheckingSFINAE(SemaRef.AccessCheckingSFINAE),
PrevLastDiagnosticIgnored(
SemaRef.getDiagnostics().isLastDiagnosticIgnored())
{
if (!SemaRef.isSFINAEContext())
SemaRef.InNonInstantiationSFINAEContext = true;
SemaRef.AccessCheckingSFINAE = AccessCheckingSFINAE;
}
~SFINAETrap() {
SemaRef.NumSFINAEErrors = PrevSFINAEErrors;
SemaRef.InNonInstantiationSFINAEContext
= PrevInNonInstantiationSFINAEContext;
SemaRef.AccessCheckingSFINAE = PrevAccessCheckingSFINAE;
SemaRef.getDiagnostics().setLastDiagnosticIgnored(
PrevLastDiagnosticIgnored);
}
/// Determine whether any SFINAE errors have been trapped.
bool hasErrorOccurred() const {
return SemaRef.NumSFINAEErrors > PrevSFINAEErrors;
}
};
/// RAII class used to indicate that we are performing provisional
/// semantic analysis to determine the validity of a construct, so
/// typo-correction and diagnostics in the immediate context (not within
/// implicitly-instantiated templates) should be suppressed.
class TentativeAnalysisScope {
Sema &SemaRef;
// FIXME: Using a SFINAETrap for this is a hack.
SFINAETrap Trap;
bool PrevDisableTypoCorrection;
public:
explicit TentativeAnalysisScope(Sema &SemaRef)
: SemaRef(SemaRef), Trap(SemaRef, true),
PrevDisableTypoCorrection(SemaRef.DisableTypoCorrection) {
SemaRef.DisableTypoCorrection = true;
}
~TentativeAnalysisScope() {
SemaRef.DisableTypoCorrection = PrevDisableTypoCorrection;
}
};
/// The current instantiation scope used to store local
/// variables.
LocalInstantiationScope *CurrentInstantiationScope;
/// Tracks whether we are in a context where typo correction is
/// disabled.
bool DisableTypoCorrection;
/// The number of typos corrected by CorrectTypo.
unsigned TyposCorrected;
typedef llvm::SmallSet<SourceLocation, 2> SrcLocSet;
typedef llvm::DenseMap<IdentifierInfo *, SrcLocSet> IdentifierSourceLocations;
/// A cache containing identifiers for which typo correction failed and
/// their locations, so that repeated attempts to correct an identifier in a
/// given location are ignored if typo correction already failed for it.
IdentifierSourceLocations TypoCorrectionFailures;
/// Worker object for performing CFG-based warnings.
sema::AnalysisBasedWarnings AnalysisWarnings;
threadSafety::BeforeSet *ThreadSafetyDeclCache;
/// An entity for which implicit template instantiation is required.
///
/// The source location associated with the declaration is the first place in
/// the source code where the declaration was "used". It is not necessarily
/// the point of instantiation (which will be either before or after the
/// namespace-scope declaration that triggered this implicit instantiation),
/// However, it is the location that diagnostics should generally refer to,
/// because users will need to know what code triggered the instantiation.
typedef std::pair<ValueDecl *, SourceLocation> PendingImplicitInstantiation;
/// The queue of implicit template instantiations that are required
/// but have not yet been performed.
std::deque<PendingImplicitInstantiation> PendingInstantiations;
/// Queue of implicit template instantiations that cannot be performed
/// eagerly.
SmallVector<PendingImplicitInstantiation, 1> LateParsedInstantiations;
class GlobalEagerInstantiationScope {
public:
GlobalEagerInstantiationScope(Sema &S, bool Enabled)
: S(S), Enabled(Enabled) {
if (!Enabled) return;
SavedPendingInstantiations.swap(S.PendingInstantiations);
SavedVTableUses.swap(S.VTableUses);
}
void perform() {
if (Enabled) {
S.DefineUsedVTables();
S.PerformPendingInstantiations();
}
}
~GlobalEagerInstantiationScope() {
if (!Enabled) return;
// Restore the set of pending vtables.
assert(S.VTableUses.empty() &&
"VTableUses should be empty before it is discarded.");
S.VTableUses.swap(SavedVTableUses);
// Restore the set of pending implicit instantiations.
assert(S.PendingInstantiations.empty() &&
"PendingInstantiations should be empty before it is discarded.");
S.PendingInstantiations.swap(SavedPendingInstantiations);
}
private:
Sema &S;
SmallVector<VTableUse, 16> SavedVTableUses;
std::deque<PendingImplicitInstantiation> SavedPendingInstantiations;
bool Enabled;
};
/// The queue of implicit template instantiations that are required
/// and must be performed within the current local scope.
///
/// This queue is only used for member functions of local classes in
/// templates, which must be instantiated in the same scope as their
/// enclosing function, so that they can reference function-local
/// types, static variables, enumerators, etc.
std::deque<PendingImplicitInstantiation> PendingLocalImplicitInstantiations;
class LocalEagerInstantiationScope {
public:
LocalEagerInstantiationScope(Sema &S) : S(S) {
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
void perform() { S.PerformPendingInstantiations(/*LocalOnly=*/true); }
~LocalEagerInstantiationScope() {
assert(S.PendingLocalImplicitInstantiations.empty() &&
"there shouldn't be any pending local implicit instantiations");
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
private:
Sema &S;
std::deque<PendingImplicitInstantiation>
SavedPendingLocalImplicitInstantiations;
};
/// A helper class for building up ExtParameterInfos.
class ExtParameterInfoBuilder {
SmallVector<FunctionProtoType::ExtParameterInfo, 16> Infos;
bool HasInteresting = false;
public:
/// Set the ExtParameterInfo for the parameter at the given index,
///
void set(unsigned index, FunctionProtoType::ExtParameterInfo info) {
assert(Infos.size() <= index);
Infos.resize(index);
Infos.push_back(info);
if (!HasInteresting)
HasInteresting = (info != FunctionProtoType::ExtParameterInfo());
}
/// Return a pointer (suitable for setting in an ExtProtoInfo) to the
/// ExtParameterInfo array we've built up.
const FunctionProtoType::ExtParameterInfo *
getPointerOrNull(unsigned numParams) {
if (!HasInteresting) return nullptr;
Infos.resize(numParams);
return Infos.data();
}
};
void PerformPendingInstantiations(bool LocalOnly = false);
TypeSourceInfo *SubstType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity,
bool AllowDeducedTST = false);
QualType SubstType(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstType(TypeLoc TL,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstFunctionDeclType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc,
DeclarationName Entity,
CXXRecordDecl *ThisContext,
Qualifiers ThisTypeQuals);
void SubstExceptionSpec(FunctionDecl *New, const FunctionProtoType *Proto,
const MultiLevelTemplateArgumentList &Args);
bool SubstExceptionSpec(SourceLocation Loc,
FunctionProtoType::ExceptionSpecInfo &ESI,
SmallVectorImpl<QualType> &ExceptionStorage,
const MultiLevelTemplateArgumentList &Args);
ParmVarDecl *SubstParmVarDecl(ParmVarDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
int indexAdjustment,
Optional<unsigned> NumExpansions,
bool ExpectParameterPack);
bool SubstParmTypes(SourceLocation Loc, ArrayRef<ParmVarDecl *> Params,
const FunctionProtoType::ExtParameterInfo *ExtParamInfos,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<QualType> &ParamTypes,
SmallVectorImpl<ParmVarDecl *> *OutParams,
ExtParameterInfoBuilder &ParamInfos);
ExprResult SubstExpr(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Substitute the given template arguments into a list of
/// expressions, expanding pack expansions if required.
///
/// \param Exprs The list of expressions to substitute into.
///
/// \param IsCall Whether this is some form of call, in which case
/// default arguments will be dropped.
///
/// \param TemplateArgs The set of template arguments to substitute.
///
/// \param Outputs Will receive all of the substituted arguments.
///
/// \returns true if an error occurred, false otherwise.
bool SubstExprs(ArrayRef<Expr *> Exprs, bool IsCall,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<Expr *> &Outputs);
StmtResult SubstStmt(Stmt *S,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateParameterList *
SubstTemplateParams(TemplateParameterList *Params, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
Decl *SubstDecl(Decl *D, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
ExprResult SubstInitializer(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool CXXDirectInit);
bool
SubstBaseSpecifiers(CXXRecordDecl *Instantiation,
CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
InstantiateClass(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation, CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK,
bool Complain = true);
bool InstantiateEnum(SourceLocation PointOfInstantiation,
EnumDecl *Instantiation, EnumDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
bool InstantiateInClassInitializer(
SourceLocation PointOfInstantiation, FieldDecl *Instantiation,
FieldDecl *Pattern, const MultiLevelTemplateArgumentList &TemplateArgs);
struct LateInstantiatedAttribute {
const Attr *TmplAttr;
LocalInstantiationScope *Scope;
Decl *NewDecl;
LateInstantiatedAttribute(const Attr *A, LocalInstantiationScope *S,
Decl *D)
: TmplAttr(A), Scope(S), NewDecl(D)
{ }
};
typedef SmallVector<LateInstantiatedAttribute, 16> LateInstantiatedAttrVec;
void InstantiateAttrs(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
void
InstantiateAttrsForDecl(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
bool usesPartialOrExplicitSpecialization(
SourceLocation Loc, ClassTemplateSpecializationDecl *ClassTemplateSpec);
bool
InstantiateClassTemplateSpecialization(SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK,
bool Complain = true);
void InstantiateClassMembers(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
void InstantiateClassTemplateSpecializationMembers(
SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK);
NestedNameSpecifierLoc
SubstNestedNameSpecifierLoc(NestedNameSpecifierLoc NNS,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclarationNameInfo
SubstDeclarationNameInfo(const DeclarationNameInfo &NameInfo,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateName
SubstTemplateName(NestedNameSpecifierLoc QualifierLoc, TemplateName Name,
SourceLocation Loc,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool Subst(const TemplateArgumentLoc *Args, unsigned NumArgs,
TemplateArgumentListInfo &Result,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateExceptionSpec(SourceLocation PointOfInstantiation,
FunctionDecl *Function);
FunctionDecl *InstantiateFunctionDeclaration(FunctionTemplateDecl *FTD,
const TemplateArgumentList *Args,
SourceLocation Loc);
void InstantiateFunctionDefinition(SourceLocation PointOfInstantiation,
FunctionDecl *Function,
bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
VarTemplateSpecializationDecl *BuildVarTemplateInstantiation(
VarTemplateDecl *VarTemplate, VarDecl *FromVar,
const TemplateArgumentList &TemplateArgList,
const TemplateArgumentListInfo &TemplateArgsInfo,
SmallVectorImpl<TemplateArgument> &Converted,
SourceLocation PointOfInstantiation, void *InsertPos,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *StartingScope = nullptr);
VarTemplateSpecializationDecl *CompleteVarTemplateSpecializationDecl(
VarTemplateSpecializationDecl *VarSpec, VarDecl *PatternDecl,
const MultiLevelTemplateArgumentList &TemplateArgs);
void
BuildVariableInstantiation(VarDecl *NewVar, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs,
LateInstantiatedAttrVec *LateAttrs,
DeclContext *Owner,
LocalInstantiationScope *StartingScope,
bool InstantiatingVarTemplate = false);
void InstantiateVariableInitializer(
VarDecl *Var, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateVariableDefinition(SourceLocation PointOfInstantiation,
VarDecl *Var, bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
void InstantiateMemInitializers(CXXConstructorDecl *New,
const CXXConstructorDecl *Tmpl,
const MultiLevelTemplateArgumentList &TemplateArgs);
NamedDecl *FindInstantiatedDecl(SourceLocation Loc, NamedDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool FindingInstantiatedContext = false);
DeclContext *FindInstantiatedContext(SourceLocation Loc, DeclContext *DC,
const MultiLevelTemplateArgumentList &TemplateArgs);
// Objective-C declarations.
enum ObjCContainerKind {
OCK_None = -1,
OCK_Interface = 0,
OCK_Protocol,
OCK_Category,
OCK_ClassExtension,
OCK_Implementation,
OCK_CategoryImplementation
};
ObjCContainerKind getObjCContainerKind() const;
DeclResult actOnObjCTypeParam(Scope *S,
ObjCTypeParamVariance variance,
SourceLocation varianceLoc,
unsigned index,
IdentifierInfo *paramName,
SourceLocation paramLoc,
SourceLocation colonLoc,
ParsedType typeBound);
ObjCTypeParamList *actOnObjCTypeParamList(Scope *S, SourceLocation lAngleLoc,
ArrayRef<Decl *> typeParams,
SourceLocation rAngleLoc);
void popObjCTypeParamList(Scope *S, ObjCTypeParamList *typeParamList);
Decl *ActOnStartClassInterface(
Scope *S, SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *SuperName, SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs, SourceRange SuperTypeArgsRange,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
void ActOnSuperClassOfClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
ObjCInterfaceDecl *IDecl,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange);
void ActOnTypedefedProtocols(SmallVectorImpl<Decl *> &ProtocolRefs,
SmallVectorImpl<SourceLocation> &ProtocolLocs,
IdentifierInfo *SuperName,
SourceLocation SuperLoc);
Decl *ActOnCompatibilityAlias(
SourceLocation AtCompatibilityAliasLoc,
IdentifierInfo *AliasName, SourceLocation AliasLocation,
IdentifierInfo *ClassName, SourceLocation ClassLocation);
bool CheckForwardProtocolDeclarationForCircularDependency(
IdentifierInfo *PName,
SourceLocation &PLoc, SourceLocation PrevLoc,
const ObjCList<ObjCProtocolDecl> &PList);
Decl *ActOnStartProtocolInterface(
SourceLocation AtProtoInterfaceLoc, IdentifierInfo *ProtocolName,
SourceLocation ProtocolLoc, Decl *const *ProtoRefNames,
unsigned NumProtoRefs, const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc, const ParsedAttributesView &AttrList);
Decl *ActOnStartCategoryInterface(
SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *CategoryName, SourceLocation CategoryLoc,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnStartClassImplementation(
SourceLocation AtClassImplLoc,
IdentifierInfo *ClassName, SourceLocation ClassLoc,
IdentifierInfo *SuperClassname,
SourceLocation SuperClassLoc);
Decl *ActOnStartCategoryImplementation(SourceLocation AtCatImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *CatName,
SourceLocation CatLoc);
DeclGroupPtrTy ActOnFinishObjCImplementation(Decl *ObjCImpDecl,
ArrayRef<Decl *> Decls);
DeclGroupPtrTy ActOnForwardClassDeclaration(SourceLocation Loc,
IdentifierInfo **IdentList,
SourceLocation *IdentLocs,
ArrayRef<ObjCTypeParamList *> TypeParamLists,
unsigned NumElts);
DeclGroupPtrTy
ActOnForwardProtocolDeclaration(SourceLocation AtProtoclLoc,
ArrayRef<IdentifierLocPair> IdentList,
const ParsedAttributesView &attrList);
void FindProtocolDeclaration(bool WarnOnDeclarations, bool ForObjCContainer,
ArrayRef<IdentifierLocPair> ProtocolId,
SmallVectorImpl<Decl *> &Protocols);
void DiagnoseTypeArgsAndProtocols(IdentifierInfo *ProtocolId,
SourceLocation ProtocolLoc,
IdentifierInfo *TypeArgId,
SourceLocation TypeArgLoc,
bool SelectProtocolFirst = false);
/// Given a list of identifiers (and their locations), resolve the
/// names to either Objective-C protocol qualifiers or type
/// arguments, as appropriate.
void actOnObjCTypeArgsOrProtocolQualifiers(
Scope *S,
ParsedType baseType,
SourceLocation lAngleLoc,
ArrayRef<IdentifierInfo *> identifiers,
ArrayRef<SourceLocation> identifierLocs,
SourceLocation rAngleLoc,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SourceLocation &protocolRAngleLoc,
bool warnOnIncompleteProtocols);
/// Build a an Objective-C protocol-qualified 'id' type where no
/// base type was specified.
TypeResult actOnObjCProtocolQualifierType(
SourceLocation lAngleLoc,
ArrayRef<Decl *> protocols,
ArrayRef<SourceLocation> protocolLocs,
SourceLocation rAngleLoc);
/// Build a specialized and/or protocol-qualified Objective-C type.
TypeResult actOnObjCTypeArgsAndProtocolQualifiers(
Scope *S,
SourceLocation Loc,
ParsedType BaseType,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<ParsedType> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<Decl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc);
/// Build an Objective-C type parameter type.
QualType BuildObjCTypeParamType(const ObjCTypeParamDecl *Decl,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Build an Objective-C object pointer type.
QualType BuildObjCObjectType(QualType BaseType,
SourceLocation Loc,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<TypeSourceInfo *> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Ensure attributes are consistent with type.
/// \param [in, out] Attributes The attributes to check; they will
/// be modified to be consistent with \p PropertyTy.
void CheckObjCPropertyAttributes(Decl *PropertyPtrTy,
SourceLocation Loc,
unsigned &Attributes,
bool propertyInPrimaryClass);
/// Process the specified property declaration and create decls for the
/// setters and getters as needed.
/// \param property The property declaration being processed
void ProcessPropertyDecl(ObjCPropertyDecl *property);
void DiagnosePropertyMismatch(ObjCPropertyDecl *Property,
ObjCPropertyDecl *SuperProperty,
const IdentifierInfo *Name,
bool OverridingProtocolProperty);
void DiagnoseClassExtensionDupMethods(ObjCCategoryDecl *CAT,
ObjCInterfaceDecl *ID);
Decl *ActOnAtEnd(Scope *S, SourceRange AtEnd,
ArrayRef<Decl *> allMethods = None,
ArrayRef<DeclGroupPtrTy> allTUVars = None);
Decl *ActOnProperty(Scope *S, SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD, ObjCDeclSpec &ODS,
Selector GetterSel, Selector SetterSel,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
Decl *ActOnPropertyImplDecl(Scope *S,
SourceLocation AtLoc,
SourceLocation PropertyLoc,
bool ImplKind,
IdentifierInfo *PropertyId,
IdentifierInfo *PropertyIvar,
SourceLocation PropertyIvarLoc,
ObjCPropertyQueryKind QueryKind);
enum ObjCSpecialMethodKind {
OSMK_None,
OSMK_Alloc,
OSMK_New,
OSMK_Copy,
OSMK_RetainingInit,
OSMK_NonRetainingInit
};
struct ObjCArgInfo {
IdentifierInfo *Name;
SourceLocation NameLoc;
// The Type is null if no type was specified, and the DeclSpec is invalid
// in this case.
ParsedType Type;
ObjCDeclSpec DeclSpec;
/// ArgAttrs - Attribute list for this argument.
ParsedAttributesView ArgAttrs;
};
Decl *ActOnMethodDeclaration(
Scope *S,
SourceLocation BeginLoc, // location of the + or -.
SourceLocation EndLoc, // location of the ; or {.
tok::TokenKind MethodType, ObjCDeclSpec &ReturnQT, ParsedType ReturnType,
ArrayRef<SourceLocation> SelectorLocs, Selector Sel,
// optional arguments. The number of types/arguments is obtained
// from the Sel.getNumArgs().
ObjCArgInfo *ArgInfo, DeclaratorChunk::ParamInfo *CParamInfo,
unsigned CNumArgs, // c-style args
const ParsedAttributesView &AttrList, tok::ObjCKeywordKind MethodImplKind,
bool isVariadic, bool MethodDefinition);
ObjCMethodDecl *LookupMethodInQualifiedType(Selector Sel,
const ObjCObjectPointerType *OPT,
bool IsInstance);
ObjCMethodDecl *LookupMethodInObjectType(Selector Sel, QualType Ty,
bool IsInstance);
bool CheckARCMethodDecl(ObjCMethodDecl *method);
bool inferObjCARCLifetime(ValueDecl *decl);
ExprResult
HandleExprPropertyRefExpr(const ObjCObjectPointerType *OPT,
Expr *BaseExpr,
SourceLocation OpLoc,
DeclarationName MemberName,
SourceLocation MemberLoc,
SourceLocation SuperLoc, QualType SuperType,
bool Super);
ExprResult
ActOnClassPropertyRefExpr(IdentifierInfo &receiverName,
IdentifierInfo &propertyName,
SourceLocation receiverNameLoc,
SourceLocation propertyNameLoc);
ObjCMethodDecl *tryCaptureObjCSelf(SourceLocation Loc);
/// Describes the kind of message expression indicated by a message
/// send that starts with an identifier.
enum ObjCMessageKind {
/// The message is sent to 'super'.
ObjCSuperMessage,
/// The message is an instance message.
ObjCInstanceMessage,
/// The message is a class message, and the identifier is a type
/// name.
ObjCClassMessage
};
ObjCMessageKind getObjCMessageKind(Scope *S,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsSuper,
bool HasTrailingDot,
ParsedType &ReceiverType);
ExprResult ActOnSuperMessage(Scope *S, SourceLocation SuperLoc,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildClassMessage(TypeSourceInfo *ReceiverTypeInfo,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildClassMessageImplicit(QualType ReceiverType,
bool isSuperReceiver,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnClassMessage(Scope *S,
ParsedType Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildInstanceMessage(Expr *Receiver,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildInstanceMessageImplicit(Expr *Receiver,
QualType ReceiverType,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnInstanceMessage(Scope *S,
Expr *Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildObjCBridgedCast(SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
TypeSourceInfo *TSInfo,
Expr *SubExpr);
ExprResult ActOnObjCBridgedCast(Scope *S,
SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
ParsedType Type,
SourceLocation RParenLoc,
Expr *SubExpr);
void CheckTollFreeBridgeCast(QualType castType, Expr *castExpr);
void CheckObjCBridgeRelatedCast(QualType castType, Expr *castExpr);
bool CheckTollFreeBridgeStaticCast(QualType castType, Expr *castExpr,
CastKind &Kind);
bool checkObjCBridgeRelatedComponents(SourceLocation Loc,
QualType DestType, QualType SrcType,
ObjCInterfaceDecl *&RelatedClass,
ObjCMethodDecl *&ClassMethod,
ObjCMethodDecl *&InstanceMethod,
TypedefNameDecl *&TDNDecl,
bool CfToNs, bool Diagnose = true);
bool CheckObjCBridgeRelatedConversions(SourceLocation Loc,
QualType DestType, QualType SrcType,
Expr *&SrcExpr, bool Diagnose = true);
bool ConversionToObjCStringLiteralCheck(QualType DstType, Expr *&SrcExpr,
bool Diagnose = true);
bool checkInitMethod(ObjCMethodDecl *method, QualType receiverTypeIfCall);
/// Check whether the given new method is a valid override of the
/// given overridden method, and set any properties that should be inherited.
void CheckObjCMethodOverride(ObjCMethodDecl *NewMethod,
const ObjCMethodDecl *Overridden);
/// Describes the compatibility of a result type with its method.
enum ResultTypeCompatibilityKind {
RTC_Compatible,
RTC_Incompatible,
RTC_Unknown
};
void CheckObjCMethodOverrides(ObjCMethodDecl *ObjCMethod,
ObjCInterfaceDecl *CurrentClass,
ResultTypeCompatibilityKind RTC);
enum PragmaOptionsAlignKind {
POAK_Native, // #pragma options align=native
POAK_Natural, // #pragma options align=natural
POAK_Packed, // #pragma options align=packed
POAK_Power, // #pragma options align=power
POAK_Mac68k, // #pragma options align=mac68k
POAK_Reset // #pragma options align=reset
};
/// ActOnPragmaClangSection - Called on well formed \#pragma clang section
void ActOnPragmaClangSection(SourceLocation PragmaLoc,
PragmaClangSectionAction Action,
PragmaClangSectionKind SecKind, StringRef SecName);
/// ActOnPragmaOptionsAlign - Called on well formed \#pragma options align.
void ActOnPragmaOptionsAlign(PragmaOptionsAlignKind Kind,
SourceLocation PragmaLoc);
/// ActOnPragmaPack - Called on well formed \#pragma pack(...).
void ActOnPragmaPack(SourceLocation PragmaLoc, PragmaMsStackAction Action,
StringRef SlotLabel, Expr *Alignment);
enum class PragmaPackDiagnoseKind {
NonDefaultStateAtInclude,
ChangedStateAtExit
};
void DiagnoseNonDefaultPragmaPack(PragmaPackDiagnoseKind Kind,
SourceLocation IncludeLoc);
void DiagnoseUnterminatedPragmaPack();
/// ActOnPragmaMSStruct - Called on well formed \#pragma ms_struct [on|off].
void ActOnPragmaMSStruct(PragmaMSStructKind Kind);
/// ActOnPragmaMSComment - Called on well formed
/// \#pragma comment(kind, "arg").
void ActOnPragmaMSComment(SourceLocation CommentLoc, PragmaMSCommentKind Kind,
StringRef Arg);
/// ActOnPragmaMSPointersToMembers - called on well formed \#pragma
/// pointers_to_members(representation method[, general purpose
/// representation]).
void ActOnPragmaMSPointersToMembers(
LangOptions::PragmaMSPointersToMembersKind Kind,
SourceLocation PragmaLoc);
/// Called on well formed \#pragma vtordisp().
void ActOnPragmaMSVtorDisp(PragmaMsStackAction Action,
SourceLocation PragmaLoc,
MSVtorDispAttr::Mode Value);
enum PragmaSectionKind {
PSK_DataSeg,
PSK_BSSSeg,
PSK_ConstSeg,
PSK_CodeSeg,
};
bool UnifySection(StringRef SectionName,
int SectionFlags,
DeclaratorDecl *TheDecl);
bool UnifySection(StringRef SectionName,
int SectionFlags,
SourceLocation PragmaSectionLocation);
/// Called on well formed \#pragma bss_seg/data_seg/const_seg/code_seg.
void ActOnPragmaMSSeg(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
StringLiteral *SegmentName,
llvm::StringRef PragmaName);
/// Called on well formed \#pragma section().
void ActOnPragmaMSSection(SourceLocation PragmaLocation,
int SectionFlags, StringLiteral *SegmentName);
/// Called on well-formed \#pragma init_seg().
void ActOnPragmaMSInitSeg(SourceLocation PragmaLocation,
StringLiteral *SegmentName);
/// Called on #pragma clang __debug dump II
void ActOnPragmaDump(Scope *S, SourceLocation Loc, IdentifierInfo *II);
/// ActOnPragmaDetectMismatch - Call on well-formed \#pragma detect_mismatch
void ActOnPragmaDetectMismatch(SourceLocation Loc, StringRef Name,
StringRef Value);
/// ActOnPragmaUnused - Called on well-formed '\#pragma unused'.
void ActOnPragmaUnused(const Token &Identifier,
Scope *curScope,
SourceLocation PragmaLoc);
/// ActOnPragmaVisibility - Called on well formed \#pragma GCC visibility... .
void ActOnPragmaVisibility(const IdentifierInfo* VisType,
SourceLocation PragmaLoc);
NamedDecl *DeclClonePragmaWeak(NamedDecl *ND, IdentifierInfo *II,
SourceLocation Loc);
void DeclApplyPragmaWeak(Scope *S, NamedDecl *ND, WeakInfo &W);
/// ActOnPragmaWeakID - Called on well formed \#pragma weak ident.
void ActOnPragmaWeakID(IdentifierInfo* WeakName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc);
/// ActOnPragmaRedefineExtname - Called on well formed
/// \#pragma redefine_extname oldname newname.
void ActOnPragmaRedefineExtname(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaWeakAlias - Called on well formed \#pragma weak ident = ident.
void ActOnPragmaWeakAlias(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaFPContract - Called on well formed
/// \#pragma {STDC,OPENCL} FP_CONTRACT and
/// \#pragma clang fp contract
void ActOnPragmaFPContract(LangOptions::FPContractModeKind FPC);
/// ActOnPragmaFenvAccess - Called on well formed
/// \#pragma STDC FENV_ACCESS
void ActOnPragmaFEnvAccess(LangOptions::FEnvAccessModeKind FPC);
/// AddAlignmentAttributesForRecord - Adds any needed alignment attributes to
/// a the record decl, to handle '\#pragma pack' and '\#pragma options align'.
void AddAlignmentAttributesForRecord(RecordDecl *RD);
/// AddMsStructLayoutForRecord - Adds ms_struct layout attribute to record.
void AddMsStructLayoutForRecord(RecordDecl *RD);
/// FreePackedContext - Deallocate and null out PackContext.
void FreePackedContext();
/// PushNamespaceVisibilityAttr - Note that we've entered a
/// namespace with a visibility attribute.
void PushNamespaceVisibilityAttr(const VisibilityAttr *Attr,
SourceLocation Loc);
/// AddPushedVisibilityAttribute - If '\#pragma GCC visibility' was used,
/// add an appropriate visibility attribute.
void AddPushedVisibilityAttribute(Decl *RD);
/// PopPragmaVisibility - Pop the top element of the visibility stack; used
/// for '\#pragma GCC visibility' and visibility attributes on namespaces.
void PopPragmaVisibility(bool IsNamespaceEnd, SourceLocation EndLoc);
/// FreeVisContext - Deallocate and null out VisContext.
void FreeVisContext();
/// AddCFAuditedAttribute - Check whether we're currently within
/// '\#pragma clang arc_cf_code_audited' and, if so, consider adding
/// the appropriate attribute.
void AddCFAuditedAttribute(Decl *D);
void ActOnPragmaAttributeAttribute(ParsedAttr &Attribute,
SourceLocation PragmaLoc,
attr::ParsedSubjectMatchRuleSet Rules);
void ActOnPragmaAttributeEmptyPush(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Called on well-formed '\#pragma clang attribute pop'.
void ActOnPragmaAttributePop(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Adds the attributes that have been specified using the
/// '\#pragma clang attribute push' directives to the given declaration.
void AddPragmaAttributes(Scope *S, Decl *D);
void DiagnoseUnterminatedPragmaAttribute();
/// Called on well formed \#pragma clang optimize.
void ActOnPragmaOptimize(bool On, SourceLocation PragmaLoc);
/// Get the location for the currently active "\#pragma clang optimize
/// off". If this location is invalid, then the state of the pragma is "on".
SourceLocation getOptimizeOffPragmaLocation() const {
return OptimizeOffPragmaLocation;
}
/// Only called on function definitions; if there is a pragma in scope
/// with the effect of a range-based optnone, consider marking the function
/// with attribute optnone.
void AddRangeBasedOptnone(FunctionDecl *FD);
/// Adds the 'optnone' attribute to the function declaration if there
/// are no conflicts; Loc represents the location causing the 'optnone'
/// attribute to be added (usually because of a pragma).
void AddOptnoneAttributeIfNoConflicts(FunctionDecl *FD, SourceLocation Loc);
/// AddAlignedAttr - Adds an aligned attribute to a particular declaration.
void AddAlignedAttr(SourceRange AttrRange, Decl *D, Expr *E,
unsigned SpellingListIndex, bool IsPackExpansion);
void AddAlignedAttr(SourceRange AttrRange, Decl *D, TypeSourceInfo *T,
unsigned SpellingListIndex, bool IsPackExpansion);
/// AddAssumeAlignedAttr - Adds an assume_aligned attribute to a particular
/// declaration.
void AddAssumeAlignedAttr(SourceRange AttrRange, Decl *D, Expr *E, Expr *OE,
unsigned SpellingListIndex);
/// AddAllocAlignAttr - Adds an alloc_align attribute to a particular
/// declaration.
void AddAllocAlignAttr(SourceRange AttrRange, Decl *D, Expr *ParamExpr,
unsigned SpellingListIndex);
/// AddAlignValueAttr - Adds an align_value attribute to a particular
/// declaration.
void AddAlignValueAttr(SourceRange AttrRange, Decl *D, Expr *E,
unsigned SpellingListIndex);
/// AddLaunchBoundsAttr - Adds a launch_bounds attribute to a particular
/// declaration.
void AddLaunchBoundsAttr(SourceRange AttrRange, Decl *D, Expr *MaxThreads,
Expr *MinBlocks, unsigned SpellingListIndex);
/// AddModeAttr - Adds a mode attribute to a particular declaration.
void AddModeAttr(SourceRange AttrRange, Decl *D, IdentifierInfo *Name,
unsigned SpellingListIndex, bool InInstantiation = false);
void AddParameterABIAttr(SourceRange AttrRange, Decl *D,
ParameterABI ABI, unsigned SpellingListIndex);
enum class RetainOwnershipKind {NS, CF, OS};
void AddXConsumedAttr(Decl *D, SourceRange SR, unsigned SpellingIndex,
RetainOwnershipKind K, bool IsTemplateInstantiation);
bool checkNSReturnsRetainedReturnType(SourceLocation loc, QualType type);
//===--------------------------------------------------------------------===//
// C++ Coroutines TS
//
bool ActOnCoroutineBodyStart(Scope *S, SourceLocation KwLoc,
StringRef Keyword);
ExprResult ActOnCoawaitExpr(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult ActOnCoyieldExpr(Scope *S, SourceLocation KwLoc, Expr *E);
StmtResult ActOnCoreturnStmt(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult BuildResolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
ExprResult BuildUnresolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
UnresolvedLookupExpr* Lookup);
ExprResult BuildCoyieldExpr(SourceLocation KwLoc, Expr *E);
StmtResult BuildCoreturnStmt(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
StmtResult BuildCoroutineBodyStmt(CoroutineBodyStmt::CtorArgs);
bool buildCoroutineParameterMoves(SourceLocation Loc);
VarDecl *buildCoroutinePromise(SourceLocation Loc);
void CheckCompletedCoroutineBody(FunctionDecl *FD, Stmt *&Body);
ClassTemplateDecl *lookupCoroutineTraits(SourceLocation KwLoc,
SourceLocation FuncLoc);
//===--------------------------------------------------------------------===//
// OpenCL extensions.
//
private:
std::string CurrOpenCLExtension;
/// Extensions required by an OpenCL type.
llvm::DenseMap<const Type*, std::set<std::string>> OpenCLTypeExtMap;
/// Extensions required by an OpenCL declaration.
llvm::DenseMap<const Decl*, std::set<std::string>> OpenCLDeclExtMap;
public:
llvm::StringRef getCurrentOpenCLExtension() const {
return CurrOpenCLExtension;
}
/// Check if a function declaration \p FD associates with any
/// extensions present in OpenCLDeclExtMap and if so return the
/// extension(s) name(s).
std::string getOpenCLExtensionsFromDeclExtMap(FunctionDecl *FD);
/// Check if a function type \p FT associates with any
/// extensions present in OpenCLTypeExtMap and if so return the
/// extension(s) name(s).
std::string getOpenCLExtensionsFromTypeExtMap(FunctionType *FT);
/// Find an extension in an appropriate extension map and return its name
template<typename T, typename MapT>
std::string getOpenCLExtensionsFromExtMap(T* FT, MapT &Map);
void setCurrentOpenCLExtension(llvm::StringRef Ext) {
CurrOpenCLExtension = Ext;
}
/// Set OpenCL extensions for a type which can only be used when these
/// OpenCL extensions are enabled. If \p Exts is empty, do nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForType(QualType T, llvm::StringRef Exts);
/// Set OpenCL extensions for a declaration which can only be
/// used when these OpenCL extensions are enabled. If \p Exts is empty, do
/// nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForDecl(Decl *FD, llvm::StringRef Exts);
/// Set current OpenCL extensions for a type which can only be used
/// when these OpenCL extensions are enabled. If current OpenCL extension is
/// empty, do nothing.
void setCurrentOpenCLExtensionForType(QualType T);
/// Set current OpenCL extensions for a declaration which
/// can only be used when these OpenCL extensions are enabled. If current
/// OpenCL extension is empty, do nothing.
void setCurrentOpenCLExtensionForDecl(Decl *FD);
bool isOpenCLDisabledDecl(Decl *FD);
/// Check if type \p T corresponding to declaration specifier \p DS
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledTypeDeclSpec(const DeclSpec &DS, QualType T);
/// Check if declaration \p D used by expression \p E
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledDecl(const NamedDecl &D, const Expr &E);
//===--------------------------------------------------------------------===//
// OpenMP directives and clauses.
//
private:
void *VarDataSharingAttributesStack;
/// Number of nested '#pragma omp declare target' directives.
unsigned DeclareTargetNestingLevel = 0;
/// Initialization of data-sharing attributes stack.
void InitDataSharingAttributesStack();
void DestroyDataSharingAttributesStack();
ExprResult
VerifyPositiveIntegerConstantInClause(Expr *Op, OpenMPClauseKind CKind,
bool StrictlyPositive = true);
/// Returns OpenMP nesting level for current directive.
unsigned getOpenMPNestingLevel() const;
/// Adjusts the function scopes index for the target-based regions.
void adjustOpenMPTargetScopeIndex(unsigned &FunctionScopesIndex,
unsigned Level) const;
/// Push new OpenMP function region for non-capturing function.
void pushOpenMPFunctionRegion();
/// Pop OpenMP function region for non-capturing function.
void popOpenMPFunctionRegion(const sema::FunctionScopeInfo *OldFSI);
/// Checks if a type or a declaration is disabled due to the owning extension
/// being disabled, and emits diagnostic messages if it is disabled.
/// \param D type or declaration to be checked.
/// \param DiagLoc source location for the diagnostic message.
/// \param DiagInfo information to be emitted for the diagnostic message.
/// \param SrcRange source range of the declaration.
/// \param Map maps type or declaration to the extensions.
/// \param Selector selects diagnostic message: 0 for type and 1 for
/// declaration.
/// \return true if the type or declaration is disabled.
template <typename T, typename DiagLocT, typename DiagInfoT, typename MapT>
bool checkOpenCLDisabledTypeOrDecl(T D, DiagLocT DiagLoc, DiagInfoT DiagInfo,
MapT &Map, unsigned Selector = 0,
SourceRange SrcRange = SourceRange());
public:
/// Return true if the provided declaration \a VD should be captured by
/// reference.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPCapturedByRef(const ValueDecl *D, unsigned Level) const;
/// Check if the specified variable is used in one of the private
/// clauses (private, firstprivate, lastprivate, reduction etc.) in OpenMP
/// constructs.
VarDecl *isOpenMPCapturedDecl(ValueDecl *D);
ExprResult getOpenMPCapturedExpr(VarDecl *Capture, ExprValueKind VK,
ExprObjectKind OK, SourceLocation Loc);
/// If the current region is a loop-based region, mark the start of the loop
/// construct.
void startOpenMPLoop();
/// Check if the specified variable is used in 'private' clause.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPPrivateDecl(const ValueDecl *D, unsigned Level) const;
/// Sets OpenMP capture kind (OMPC_private, OMPC_firstprivate, OMPC_map etc.)
/// for \p FD based on DSA for the provided corresponding captured declaration
/// \p D.
void setOpenMPCaptureKind(FieldDecl *FD, const ValueDecl *D, unsigned Level);
/// Check if the specified variable is captured by 'target' directive.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPTargetCapturedDecl(const ValueDecl *D, unsigned Level) const;
ExprResult PerformOpenMPImplicitIntegerConversion(SourceLocation OpLoc,
Expr *Op);
/// Called on start of new data sharing attribute block.
void StartOpenMPDSABlock(OpenMPDirectiveKind K,
const DeclarationNameInfo &DirName, Scope *CurScope,
SourceLocation Loc);
/// Start analysis of clauses.
void StartOpenMPClause(OpenMPClauseKind K);
/// End analysis of clauses.
void EndOpenMPClause();
/// Called on end of data sharing attribute block.
void EndOpenMPDSABlock(Stmt *CurDirective);
/// Check if the current region is an OpenMP loop region and if it is,
/// mark loop control variable, used in \p Init for loop initialization, as
/// private by default.
/// \param Init First part of the for loop.
void ActOnOpenMPLoopInitialization(SourceLocation ForLoc, Stmt *Init);
// OpenMP directives and clauses.
/// Called on correct id-expression from the '#pragma omp
/// threadprivate'.
ExprResult ActOnOpenMPIdExpression(Scope *CurScope,
CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id);
/// Called on well-formed '#pragma omp threadprivate'.
DeclGroupPtrTy ActOnOpenMPThreadprivateDirective(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Builds a new OpenMPThreadPrivateDecl and checks its correctness.
OMPThreadPrivateDecl *CheckOMPThreadPrivateDecl(SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Called on well-formed '#pragma omp requires'.
DeclGroupPtrTy ActOnOpenMPRequiresDirective(SourceLocation Loc,
ArrayRef<OMPClause *> ClauseList);
/// Check restrictions on Requires directive
OMPRequiresDecl *CheckOMPRequiresDecl(SourceLocation Loc,
ArrayRef<OMPClause *> Clauses);
/// Check if the specified type is allowed to be used in 'omp declare
/// reduction' construct.
QualType ActOnOpenMPDeclareReductionType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveStart(
Scope *S, DeclContext *DC, DeclarationName Name,
ArrayRef<std::pair<QualType, SourceLocation>> ReductionTypes,
AccessSpecifier AS, Decl *PrevDeclInScope = nullptr);
/// Initialize declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerEnd(Decl *D, Expr *Combiner);
/// Initialize declare reduction construct initializer.
/// \return omp_priv variable.
VarDecl *ActOnOpenMPDeclareReductionInitializerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionInitializerEnd(Decl *D, Expr *Initializer,
VarDecl *OmpPrivParm);
/// Called at the end of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveEnd(
Scope *S, DeclGroupPtrTy DeclReductions, bool IsValid);
/// Check variable declaration in 'omp declare mapper' construct.
TypeResult ActOnOpenMPDeclareMapperVarDecl(Scope *S, Declarator &D);
/// Check if the specified type is allowed to be used in 'omp declare
/// mapper' construct.
QualType ActOnOpenMPDeclareMapperType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare mapper'.
OMPDeclareMapperDecl *ActOnOpenMPDeclareMapperDirectiveStart(
Scope *S, DeclContext *DC, DeclarationName Name, QualType MapperType,
SourceLocation StartLoc, DeclarationName VN, AccessSpecifier AS,
Decl *PrevDeclInScope = nullptr);
/// Build the mapper variable of '#pragma omp declare mapper'.
void ActOnOpenMPDeclareMapperDirectiveVarDecl(OMPDeclareMapperDecl *DMD,
Scope *S, QualType MapperType,
SourceLocation StartLoc,
DeclarationName VN);
/// Called at the end of '#pragma omp declare mapper'.
DeclGroupPtrTy
ActOnOpenMPDeclareMapperDirectiveEnd(OMPDeclareMapperDecl *D, Scope *S,
ArrayRef<OMPClause *> ClauseList);
/// Called on the start of target region i.e. '#pragma omp declare target'.
bool ActOnStartOpenMPDeclareTargetDirective(SourceLocation Loc);
/// Called at the end of target region i.e. '#pragme omp end declare target'.
void ActOnFinishOpenMPDeclareTargetDirective();
/// Called on correct id-expression from the '#pragma omp declare target'.
void ActOnOpenMPDeclareTargetName(Scope *CurScope, CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id,
OMPDeclareTargetDeclAttr::MapTypeTy MT,
NamedDeclSetType &SameDirectiveDecls);
/// Check declaration inside target region.
void
checkDeclIsAllowedInOpenMPTarget(Expr *E, Decl *D,
SourceLocation IdLoc = SourceLocation());
/// Return true inside OpenMP declare target region.
bool isInOpenMPDeclareTargetContext() const {
return DeclareTargetNestingLevel > 0;
}
/// Return true inside OpenMP target region.
bool isInOpenMPTargetExecutionDirective() const;
/// Return true if (un)supported features for the current target should be
/// diagnosed if OpenMP (offloading) is enabled.
bool shouldDiagnoseTargetSupportFromOpenMP() const {
return !getLangOpts().OpenMPIsDevice || isInOpenMPDeclareTargetContext() ||
isInOpenMPTargetExecutionDirective();
}
/// Return the number of captured regions created for an OpenMP directive.
static int getOpenMPCaptureLevels(OpenMPDirectiveKind Kind);
/// Initialization of captured region for OpenMP region.
void ActOnOpenMPRegionStart(OpenMPDirectiveKind DKind, Scope *CurScope);
/// End of OpenMP region.
///
/// \param S Statement associated with the current OpenMP region.
/// \param Clauses List of clauses for the current OpenMP region.
///
/// \returns Statement for finished OpenMP region.
StmtResult ActOnOpenMPRegionEnd(StmtResult S, ArrayRef<OMPClause *> Clauses);
StmtResult ActOnOpenMPExecutableDirective(
OpenMPDirectiveKind Kind, const DeclarationNameInfo &DirName,
OpenMPDirectiveKind CancelRegion, ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc, SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
using VarsWithInheritedDSAType =
llvm::SmallDenseMap<const ValueDecl *, const Expr *, 4>;
/// Called on well-formed '\#pragma omp simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp for' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp for simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp sections' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp section' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSectionDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp single' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSingleDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp master' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp critical' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPCriticalDirective(const DeclarationNameInfo &DirName,
ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel sections' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp task' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTaskDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskyield'.
StmtResult ActOnOpenMPTaskyieldDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp barrier'.
StmtResult ActOnOpenMPBarrierDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskwait'.
StmtResult ActOnOpenMPTaskwaitDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskgroup'.
StmtResult ActOnOpenMPTaskgroupDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp flush'.
StmtResult ActOnOpenMPFlushDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp ordered' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPOrderedDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp atomic' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPAtomicDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target data' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTargetDataDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target enter data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetEnterDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target exit data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetExitDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target parallel' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp cancellation point'.
StmtResult
ActOnOpenMPCancellationPointDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp cancel'.
StmtResult ActOnOpenMPCancelDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp taskloop' after parsing of the
/// associated statement.
StmtResult
ActOnOpenMPTaskLoopDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPDistributeDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target update'.
StmtResult ActOnOpenMPTargetUpdateDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp distribute parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target simd' after parsing of
/// the associated statement.
StmtResult
ActOnOpenMPTargetSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target teams distribute' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for
/// simd' after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Checks correctness of linear modifiers.
bool CheckOpenMPLinearModifier(OpenMPLinearClauseKind LinKind,
SourceLocation LinLoc);
/// Checks that the specified declaration matches requirements for the linear
/// decls.
bool CheckOpenMPLinearDecl(const ValueDecl *D, SourceLocation ELoc,
OpenMPLinearClauseKind LinKind, QualType Type);
/// Called on well-formed '\#pragma omp declare simd' after parsing of
/// the associated method/function.
DeclGroupPtrTy ActOnOpenMPDeclareSimdDirective(
DeclGroupPtrTy DG, OMPDeclareSimdDeclAttr::BranchStateTy BS,
Expr *Simdlen, ArrayRef<Expr *> Uniforms, ArrayRef<Expr *> Aligneds,
ArrayRef<Expr *> Alignments, ArrayRef<Expr *> Linears,
ArrayRef<unsigned> LinModifiers, ArrayRef<Expr *> Steps, SourceRange SR);
OMPClause *ActOnOpenMPSingleExprClause(OpenMPClauseKind Kind,
Expr *Expr,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'if' clause.
OMPClause *ActOnOpenMPIfClause(OpenMPDirectiveKind NameModifier,
Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation NameModifierLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'final' clause.
OMPClause *ActOnOpenMPFinalClause(Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_threads' clause.
OMPClause *ActOnOpenMPNumThreadsClause(Expr *NumThreads,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'safelen' clause.
OMPClause *ActOnOpenMPSafelenClause(Expr *Length,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simdlen' clause.
OMPClause *ActOnOpenMPSimdlenClause(Expr *Length, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'collapse' clause.
OMPClause *ActOnOpenMPCollapseClause(Expr *NumForLoops,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'ordered' clause.
OMPClause *
ActOnOpenMPOrderedClause(SourceLocation StartLoc, SourceLocation EndLoc,
SourceLocation LParenLoc = SourceLocation(),
Expr *NumForLoops = nullptr);
/// Called on well-formed 'grainsize' clause.
OMPClause *ActOnOpenMPGrainsizeClause(Expr *Size, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_tasks' clause.
OMPClause *ActOnOpenMPNumTasksClause(Expr *NumTasks, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'hint' clause.
OMPClause *ActOnOpenMPHintClause(Expr *Hint, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSimpleClause(OpenMPClauseKind Kind,
unsigned Argument,
SourceLocation ArgumentLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'default' clause.
OMPClause *ActOnOpenMPDefaultClause(OpenMPDefaultClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'proc_bind' clause.
OMPClause *ActOnOpenMPProcBindClause(OpenMPProcBindClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSingleExprWithArgClause(
OpenMPClauseKind Kind, ArrayRef<unsigned> Arguments, Expr *Expr,
SourceLocation StartLoc, SourceLocation LParenLoc,
ArrayRef<SourceLocation> ArgumentsLoc, SourceLocation DelimLoc,
SourceLocation EndLoc);
/// Called on well-formed 'schedule' clause.
OMPClause *ActOnOpenMPScheduleClause(
OpenMPScheduleClauseModifier M1, OpenMPScheduleClauseModifier M2,
OpenMPScheduleClauseKind Kind, Expr *ChunkSize, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation M1Loc, SourceLocation M2Loc,
SourceLocation KindLoc, SourceLocation CommaLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPClause(OpenMPClauseKind Kind, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nowait' clause.
OMPClause *ActOnOpenMPNowaitClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'untied' clause.
OMPClause *ActOnOpenMPUntiedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'mergeable' clause.
OMPClause *ActOnOpenMPMergeableClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'read' clause.
OMPClause *ActOnOpenMPReadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'write' clause.
OMPClause *ActOnOpenMPWriteClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'capture' clause.
OMPClause *ActOnOpenMPCaptureClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'seq_cst' clause.
OMPClause *ActOnOpenMPSeqCstClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'threads' clause.
OMPClause *ActOnOpenMPThreadsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simd' clause.
OMPClause *ActOnOpenMPSIMDClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nogroup' clause.
OMPClause *ActOnOpenMPNogroupClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedAddressClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedSharedMemoryClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reverse_offload' clause.
OMPClause *ActOnOpenMPReverseOffloadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dynamic_allocators' clause.
OMPClause *ActOnOpenMPDynamicAllocatorsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'atomic_default_mem_order' clause.
OMPClause *ActOnOpenMPAtomicDefaultMemOrderClause(
OpenMPAtomicDefaultMemOrderClauseKind Kind, SourceLocation KindLoc,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPVarListClause(
OpenMPClauseKind Kind, ArrayRef<Expr *> Vars, Expr *TailExpr,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId, OpenMPDependClauseKind DepKind,
OpenMPLinearClauseKind LinKind,
ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc,
OpenMPMapClauseKind MapType, bool IsMapTypeImplicit,
SourceLocation DepLinMapLoc);
/// Called on well-formed 'private' clause.
OMPClause *ActOnOpenMPPrivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'firstprivate' clause.
OMPClause *ActOnOpenMPFirstprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'lastprivate' clause.
OMPClause *ActOnOpenMPLastprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'shared' clause.
OMPClause *ActOnOpenMPSharedClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reduction' clause.
OMPClause *ActOnOpenMPReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'task_reduction' clause.
OMPClause *ActOnOpenMPTaskReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'in_reduction' clause.
OMPClause *ActOnOpenMPInReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'linear' clause.
OMPClause *
ActOnOpenMPLinearClause(ArrayRef<Expr *> VarList, Expr *Step,
SourceLocation StartLoc, SourceLocation LParenLoc,
OpenMPLinearClauseKind LinKind, SourceLocation LinLoc,
SourceLocation ColonLoc, SourceLocation EndLoc);
/// Called on well-formed 'aligned' clause.
OMPClause *ActOnOpenMPAlignedClause(ArrayRef<Expr *> VarList,
Expr *Alignment,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyin' clause.
OMPClause *ActOnOpenMPCopyinClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyprivate' clause.
OMPClause *ActOnOpenMPCopyprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'flush' pseudo clause.
OMPClause *ActOnOpenMPFlushClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'depend' clause.
OMPClause *
ActOnOpenMPDependClause(OpenMPDependClauseKind DepKind, SourceLocation DepLoc,
SourceLocation ColonLoc, ArrayRef<Expr *> VarList,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'device' clause.
OMPClause *ActOnOpenMPDeviceClause(Expr *Device, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'map' clause.
OMPClause *
ActOnOpenMPMapClause(ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc,
OpenMPMapClauseKind MapType, bool IsMapTypeImplicit,
SourceLocation MapLoc, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'num_teams' clause.
OMPClause *ActOnOpenMPNumTeamsClause(Expr *NumTeams, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'thread_limit' clause.
OMPClause *ActOnOpenMPThreadLimitClause(Expr *ThreadLimit,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'priority' clause.
OMPClause *ActOnOpenMPPriorityClause(Expr *Priority, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dist_schedule' clause.
OMPClause *ActOnOpenMPDistScheduleClause(
OpenMPDistScheduleClauseKind Kind, Expr *ChunkSize,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation KindLoc,
SourceLocation CommaLoc, SourceLocation EndLoc);
/// Called on well-formed 'defaultmap' clause.
OMPClause *ActOnOpenMPDefaultmapClause(
OpenMPDefaultmapClauseModifier M, OpenMPDefaultmapClauseKind Kind,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation MLoc,
SourceLocation KindLoc, SourceLocation EndLoc);
/// Called on well-formed 'to' clause.
OMPClause *ActOnOpenMPToClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'from' clause.
OMPClause *ActOnOpenMPFromClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'use_device_ptr' clause.
OMPClause *ActOnOpenMPUseDevicePtrClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'is_device_ptr' clause.
OMPClause *ActOnOpenMPIsDevicePtrClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// The kind of conversion being performed.
enum CheckedConversionKind {
/// An implicit conversion.
CCK_ImplicitConversion,
/// A C-style cast.
CCK_CStyleCast,
/// A functional-style cast.
CCK_FunctionalCast,
/// A cast other than a C-style cast.
CCK_OtherCast,
/// A conversion for an operand of a builtin overloaded operator.
CCK_ForBuiltinOverloadedOp
};
static bool isCast(CheckedConversionKind CCK) {
return CCK == CCK_CStyleCast || CCK == CCK_FunctionalCast ||
CCK == CCK_OtherCast;
}
/// ImpCastExprToType - If Expr is not of type 'Type', insert an implicit
/// cast. If there is already an implicit cast, merge into the existing one.
/// If isLvalue, the result of the cast is an lvalue.
ExprResult ImpCastExprToType(Expr *E, QualType Type, CastKind CK,
ExprValueKind VK = VK_RValue,
const CXXCastPath *BasePath = nullptr,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
/// ScalarTypeToBooleanCastKind - Returns the cast kind corresponding
/// to the conversion from scalar type ScalarTy to the Boolean type.
static CastKind ScalarTypeToBooleanCastKind(QualType ScalarTy);
/// IgnoredValueConversions - Given that an expression's result is
/// syntactically ignored, perform any conversions that are
/// required.
ExprResult IgnoredValueConversions(Expr *E);
// UsualUnaryConversions - promotes integers (C99 6.3.1.1p2) and converts
// functions and arrays to their respective pointers (C99 6.3.2.1).
ExprResult UsualUnaryConversions(Expr *E);
/// CallExprUnaryConversions - a special case of an unary conversion
/// performed on a function designator of a call expression.
ExprResult CallExprUnaryConversions(Expr *E);
// DefaultFunctionArrayConversion - converts functions and arrays
// to their respective pointers (C99 6.3.2.1).
ExprResult DefaultFunctionArrayConversion(Expr *E, bool Diagnose = true);
// DefaultFunctionArrayLvalueConversion - converts functions and
// arrays to their respective pointers and performs the
// lvalue-to-rvalue conversion.
ExprResult DefaultFunctionArrayLvalueConversion(Expr *E,
bool Diagnose = true);
// DefaultLvalueConversion - performs lvalue-to-rvalue conversion on
// the operand. This is DefaultFunctionArrayLvalueConversion,
// except that it assumes the operand isn't of function or array
// type.
ExprResult DefaultLvalueConversion(Expr *E);
// DefaultArgumentPromotion (C99 6.5.2.2p6). Used for function calls that
// do not have a prototype. Integer promotions are performed on each
// argument, and arguments that have type float are promoted to double.
ExprResult DefaultArgumentPromotion(Expr *E);
/// If \p E is a prvalue denoting an unmaterialized temporary, materialize
/// it as an xvalue. In C++98, the result will still be a prvalue, because
/// we don't have xvalues there.
ExprResult TemporaryMaterializationConversion(Expr *E);
// Used for emitting the right warning by DefaultVariadicArgumentPromotion
enum VariadicCallType {
VariadicFunction,
VariadicBlock,
VariadicMethod,
VariadicConstructor,
VariadicDoesNotApply
};
VariadicCallType getVariadicCallType(FunctionDecl *FDecl,
const FunctionProtoType *Proto,
Expr *Fn);
// Used for determining in which context a type is allowed to be passed to a
// vararg function.
enum VarArgKind {
VAK_Valid,
VAK_ValidInCXX11,
VAK_Undefined,
VAK_MSVCUndefined,
VAK_Invalid
};
// Determines which VarArgKind fits an expression.
VarArgKind isValidVarArgType(const QualType &Ty);
/// Check to see if the given expression is a valid argument to a variadic
/// function, issuing a diagnostic if not.
void checkVariadicArgument(const Expr *E, VariadicCallType CT);
/// Check to see if a given expression could have '.c_str()' called on it.
bool hasCStrMethod(const Expr *E);
/// GatherArgumentsForCall - Collector argument expressions for various
/// form of call prototypes.
bool GatherArgumentsForCall(SourceLocation CallLoc, FunctionDecl *FDecl,
const FunctionProtoType *Proto,
unsigned FirstParam, ArrayRef<Expr *> Args,
SmallVectorImpl<Expr *> &AllArgs,
VariadicCallType CallType = VariadicDoesNotApply,
bool AllowExplicit = false,
bool IsListInitialization = false);
// DefaultVariadicArgumentPromotion - Like DefaultArgumentPromotion, but
// will create a runtime trap if the resulting type is not a POD type.
ExprResult DefaultVariadicArgumentPromotion(Expr *E, VariadicCallType CT,
FunctionDecl *FDecl);
// UsualArithmeticConversions - performs the UsualUnaryConversions on it's
// operands and then handles various conversions that are common to binary
// operators (C99 6.3.1.8). If both operands aren't arithmetic, this
// routine returns the first non-arithmetic type found. The client is
// responsible for emitting appropriate error diagnostics.
QualType UsualArithmeticConversions(ExprResult &LHS, ExprResult &RHS,
bool IsCompAssign = false);
/// AssignConvertType - All of the 'assignment' semantic checks return this
/// enum to indicate whether the assignment was allowed. These checks are
/// done for simple assignments, as well as initialization, return from
/// function, argument passing, etc. The query is phrased in terms of a
/// source and destination type.
enum AssignConvertType {
/// Compatible - the types are compatible according to the standard.
Compatible,
/// PointerToInt - The assignment converts a pointer to an int, which we
/// accept as an extension.
PointerToInt,
/// IntToPointer - The assignment converts an int to a pointer, which we
/// accept as an extension.
IntToPointer,
/// FunctionVoidPointer - The assignment is between a function pointer and
/// void*, which the standard doesn't allow, but we accept as an extension.
FunctionVoidPointer,
/// IncompatiblePointer - The assignment is between two pointers types that
/// are not compatible, but we accept them as an extension.
IncompatiblePointer,
/// IncompatiblePointerSign - The assignment is between two pointers types
/// which point to integers which have a different sign, but are otherwise
/// identical. This is a subset of the above, but broken out because it's by
/// far the most common case of incompatible pointers.
IncompatiblePointerSign,
/// CompatiblePointerDiscardsQualifiers - The assignment discards
/// c/v/r qualifiers, which we accept as an extension.
CompatiblePointerDiscardsQualifiers,
/// IncompatiblePointerDiscardsQualifiers - The assignment
/// discards qualifiers that we don't permit to be discarded,
/// like address spaces.
IncompatiblePointerDiscardsQualifiers,
/// IncompatibleNestedPointerQualifiers - The assignment is between two
/// nested pointer types, and the qualifiers other than the first two
/// levels differ e.g. char ** -> const char **, but we accept them as an
/// extension.
IncompatibleNestedPointerQualifiers,
/// IncompatibleVectors - The assignment is between two vector types that
/// have the same size, which we accept as an extension.
IncompatibleVectors,
/// IntToBlockPointer - The assignment converts an int to a block
/// pointer. We disallow this.
IntToBlockPointer,
/// IncompatibleBlockPointer - The assignment is between two block
/// pointers types that are not compatible.
IncompatibleBlockPointer,
/// IncompatibleObjCQualifiedId - The assignment is between a qualified
/// id type and something else (that is incompatible with it). For example,
/// "id <XXX>" = "Foo *", where "Foo *" doesn't implement the XXX protocol.
IncompatibleObjCQualifiedId,
/// IncompatibleObjCWeakRef - Assigning a weak-unavailable object to an
/// object with __weak qualifier.
IncompatibleObjCWeakRef,
/// Incompatible - We reject this conversion outright, it is invalid to
/// represent it in the AST.
Incompatible
};
/// DiagnoseAssignmentResult - Emit a diagnostic, if required, for the
/// assignment conversion type specified by ConvTy. This returns true if the
/// conversion was invalid or false if the conversion was accepted.
bool DiagnoseAssignmentResult(AssignConvertType ConvTy,
SourceLocation Loc,
QualType DstType, QualType SrcType,
Expr *SrcExpr, AssignmentAction Action,
bool *Complained = nullptr);
/// IsValueInFlagEnum - Determine if a value is allowed as part of a flag
/// enum. If AllowMask is true, then we also allow the complement of a valid
/// value, to be used as a mask.
bool IsValueInFlagEnum(const EnumDecl *ED, const llvm::APInt &Val,
bool AllowMask) const;
/// DiagnoseAssignmentEnum - Warn if assignment to enum is a constant
/// integer not in the range of enum values.
void DiagnoseAssignmentEnum(QualType DstType, QualType SrcType,
Expr *SrcExpr);
/// CheckAssignmentConstraints - Perform type checking for assignment,
/// argument passing, variable initialization, and function return values.
/// C99 6.5.16.
AssignConvertType CheckAssignmentConstraints(SourceLocation Loc,
QualType LHSType,
QualType RHSType);
/// Check assignment constraints and optionally prepare for a conversion of
/// the RHS to the LHS type. The conversion is prepared for if ConvertRHS
/// is true.
AssignConvertType CheckAssignmentConstraints(QualType LHSType,
ExprResult &RHS,
CastKind &Kind,
bool ConvertRHS = true);
/// Check assignment constraints for an assignment of RHS to LHSType.
///
/// \param LHSType The destination type for the assignment.
/// \param RHS The source expression for the assignment.
/// \param Diagnose If \c true, diagnostics may be produced when checking
/// for assignability. If a diagnostic is produced, \p RHS will be
/// set to ExprError(). Note that this function may still return
/// without producing a diagnostic, even for an invalid assignment.
/// \param DiagnoseCFAudited If \c true, the target is a function parameter
/// in an audited Core Foundation API and does not need to be checked
/// for ARC retain issues.
/// \param ConvertRHS If \c true, \p RHS will be updated to model the
/// conversions necessary to perform the assignment. If \c false,
/// \p Diagnose must also be \c false.
AssignConvertType CheckSingleAssignmentConstraints(
QualType LHSType, ExprResult &RHS, bool Diagnose = true,
bool DiagnoseCFAudited = false, bool ConvertRHS = true);
// If the lhs type is a transparent union, check whether we
// can initialize the transparent union with the given expression.
AssignConvertType CheckTransparentUnionArgumentConstraints(QualType ArgType,
ExprResult &RHS);
bool IsStringLiteralToNonConstPointerConversion(Expr *From, QualType ToType);
bool CheckExceptionSpecCompatibility(Expr *From, QualType ToType);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit = false);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit,
ImplicitConversionSequence& ICS);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const ImplicitConversionSequence& ICS,
AssignmentAction Action,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const StandardConversionSequence& SCS,
AssignmentAction Action,
CheckedConversionKind CCK);
ExprResult PerformQualificationConversion(
Expr *E, QualType Ty, ExprValueKind VK = VK_RValue,
CheckedConversionKind CCK = CCK_ImplicitConversion);
/// the following "Check" methods will return a valid/converted QualType
/// or a null QualType (indicating an error diagnostic was issued).
/// type checking binary operators (subroutines of CreateBuiltinBinOp).
QualType InvalidOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType InvalidLogicalVectorOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType CheckPointerToMemberOperands( // C++ 5.5
ExprResult &LHS, ExprResult &RHS, ExprValueKind &VK,
SourceLocation OpLoc, bool isIndirect);
QualType CheckMultiplyDivideOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, bool IsCompAssign,
bool IsDivide);
QualType CheckRemainderOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
bool IsCompAssign = false);
QualType CheckAdditionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, QualType* CompLHSTy = nullptr);
QualType CheckSubtractionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
QualType* CompLHSTy = nullptr);
QualType CheckShiftOperands( // C99 6.5.7
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, bool IsCompAssign = false);
QualType CheckCompareOperands( // C99 6.5.8/9
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckBitwiseOperands( // C99 6.5.[10...12]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckLogicalOperands( // C99 6.5.[13,14]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
// CheckAssignmentOperands is used for both simple and compound assignment.
// For simple assignment, pass both expressions and a null converted type.
// For compound assignment, pass both expressions and the converted type.
QualType CheckAssignmentOperands( // C99 6.5.16.[1,2]
Expr *LHSExpr, ExprResult &RHS, SourceLocation Loc, QualType CompoundType);
ExprResult checkPseudoObjectIncDec(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opcode, Expr *Op);
ExprResult checkPseudoObjectAssignment(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opcode,
Expr *LHS, Expr *RHS);
ExprResult checkPseudoObjectRValue(Expr *E);
Expr *recreateSyntacticForm(PseudoObjectExpr *E);
QualType CheckConditionalOperands( // C99 6.5.15
ExprResult &Cond, ExprResult &LHS, ExprResult &RHS,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation QuestionLoc);
QualType CXXCheckConditionalOperands( // C++ 5.16
ExprResult &cond, ExprResult &lhs, ExprResult &rhs,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation questionLoc);
QualType FindCompositePointerType(SourceLocation Loc, Expr *&E1, Expr *&E2,
bool ConvertArgs = true);
QualType FindCompositePointerType(SourceLocation Loc,
ExprResult &E1, ExprResult &E2,
bool ConvertArgs = true) {
Expr *E1Tmp = E1.get(), *E2Tmp = E2.get();
QualType Composite =
FindCompositePointerType(Loc, E1Tmp, E2Tmp, ConvertArgs);
E1 = E1Tmp;
E2 = E2Tmp;
return Composite;
}
QualType FindCompositeObjCPointerType(ExprResult &LHS, ExprResult &RHS,
SourceLocation QuestionLoc);
bool DiagnoseConditionalForNull(Expr *LHSExpr, Expr *RHSExpr,
SourceLocation QuestionLoc);
void DiagnoseAlwaysNonNullPointer(Expr *E,
Expr::NullPointerConstantKind NullType,
bool IsEqual, SourceRange Range);
/// type checking for vector binary operators.
QualType CheckVectorOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign,
bool AllowBothBool, bool AllowBoolConversion);
QualType GetSignedVectorType(QualType V);
QualType CheckVectorCompareOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckVectorLogicalOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc);
bool areLaxCompatibleVectorTypes(QualType srcType, QualType destType);
bool isLaxVectorConversion(QualType srcType, QualType destType);
/// type checking declaration initializers (C99 6.7.8)
bool CheckForConstantInitializer(Expr *e, QualType t);
// type checking C++ declaration initializers (C++ [dcl.init]).
/// ReferenceCompareResult - Expresses the result of comparing two
/// types (cv1 T1 and cv2 T2) to determine their compatibility for the
/// purposes of initialization by reference (C++ [dcl.init.ref]p4).
enum ReferenceCompareResult {
/// Ref_Incompatible - The two types are incompatible, so direct
/// reference binding is not possible.
Ref_Incompatible = 0,
/// Ref_Related - The two types are reference-related, which means
/// that their unqualified forms (T1 and T2) are either the same
/// or T1 is a base class of T2.
Ref_Related,
/// Ref_Compatible - The two types are reference-compatible.
Ref_Compatible
};
ReferenceCompareResult CompareReferenceRelationship(SourceLocation Loc,
QualType T1, QualType T2,
bool &DerivedToBase,
bool &ObjCConversion,
bool &ObjCLifetimeConversion);
ExprResult checkUnknownAnyCast(SourceRange TypeRange, QualType CastType,
Expr *CastExpr, CastKind &CastKind,
ExprValueKind &VK, CXXCastPath &Path);
/// Force an expression with unknown-type to an expression of the
/// given type.
ExprResult forceUnknownAnyToType(Expr *E, QualType ToType);
/// Type-check an expression that's being passed to an
/// __unknown_anytype parameter.
ExprResult checkUnknownAnyArg(SourceLocation callLoc,
Expr *result, QualType ¶mType);
// CheckVectorCast - check type constraints for vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size.
// returns true if the cast is invalid
bool CheckVectorCast(SourceRange R, QualType VectorTy, QualType Ty,
CastKind &Kind);
/// Prepare `SplattedExpr` for a vector splat operation, adding
/// implicit casts if necessary.
ExprResult prepareVectorSplat(QualType VectorTy, Expr *SplattedExpr);
// CheckExtVectorCast - check type constraints for extended vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size,
// or vectors and the element type of that vector.
// returns the cast expr
ExprResult CheckExtVectorCast(SourceRange R, QualType DestTy, Expr *CastExpr,
CastKind &Kind);
ExprResult BuildCXXFunctionalCastExpr(TypeSourceInfo *TInfo, QualType Type,
SourceLocation LParenLoc,
Expr *CastExpr,
SourceLocation RParenLoc);
enum ARCConversionResult { ACR_okay, ACR_unbridged, ACR_error };
/// Checks for invalid conversions and casts between
/// retainable pointers and other pointer kinds for ARC and Weak.
ARCConversionResult CheckObjCConversion(SourceRange castRange,
QualType castType, Expr *&op,
CheckedConversionKind CCK,
bool Diagnose = true,
bool DiagnoseCFAudited = false,
BinaryOperatorKind Opc = BO_PtrMemD
);
Expr *stripARCUnbridgedCast(Expr *e);
void diagnoseARCUnbridgedCast(Expr *e);
bool CheckObjCARCUnavailableWeakConversion(QualType castType,
QualType ExprType);
/// checkRetainCycles - Check whether an Objective-C message send
/// might create an obvious retain cycle.
void checkRetainCycles(ObjCMessageExpr *msg);
void checkRetainCycles(Expr *receiver, Expr *argument);
void checkRetainCycles(VarDecl *Var, Expr *Init);
/// checkUnsafeAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained type.
bool checkUnsafeAssigns(SourceLocation Loc, QualType LHS, Expr *RHS);
/// checkUnsafeExprAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained expression.
void checkUnsafeExprAssigns(SourceLocation Loc, Expr *LHS, Expr *RHS);
/// CheckMessageArgumentTypes - Check types in an Obj-C message send.
/// \param Method - May be null.
/// \param [out] ReturnType - The return type of the send.
/// \return true iff there were any incompatible types.
bool CheckMessageArgumentTypes(const Expr *Receiver, QualType ReceiverType,
MultiExprArg Args, Selector Sel,
ArrayRef<SourceLocation> SelectorLocs,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage, SourceLocation lbrac,
SourceLocation rbrac, SourceRange RecRange,
QualType &ReturnType, ExprValueKind &VK);
/// Determine the result of a message send expression based on
/// the type of the receiver, the method expected to receive the message,
/// and the form of the message send.
QualType getMessageSendResultType(const Expr *Receiver, QualType ReceiverType,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage);
/// If the given expression involves a message send to a method
/// with a related result type, emit a note describing what happened.
void EmitRelatedResultTypeNote(const Expr *E);
/// Given that we had incompatible pointer types in a return
/// statement, check whether we're in a method with a related result
/// type, and if so, emit a note describing what happened.
void EmitRelatedResultTypeNoteForReturn(QualType destType);
class ConditionResult {
Decl *ConditionVar;
FullExprArg Condition;
bool Invalid;
bool HasKnownValue;
bool KnownValue;
friend class Sema;
ConditionResult(Sema &S, Decl *ConditionVar, FullExprArg Condition,
bool IsConstexpr)
: ConditionVar(ConditionVar), Condition(Condition), Invalid(false),
HasKnownValue(IsConstexpr && Condition.get() &&
!Condition.get()->isValueDependent()),
KnownValue(HasKnownValue &&
!!Condition.get()->EvaluateKnownConstInt(S.Context)) {}
explicit ConditionResult(bool Invalid)
: ConditionVar(nullptr), Condition(nullptr), Invalid(Invalid),
HasKnownValue(false), KnownValue(false) {}
public:
ConditionResult() : ConditionResult(false) {}
bool isInvalid() const { return Invalid; }
std::pair<VarDecl *, Expr *> get() const {
return std::make_pair(cast_or_null<VarDecl>(ConditionVar),
Condition.get());
}
llvm::Optional<bool> getKnownValue() const {
if (!HasKnownValue)
return None;
return KnownValue;
}
};
static ConditionResult ConditionError() { return ConditionResult(true); }
enum class ConditionKind {
Boolean, ///< A boolean condition, from 'if', 'while', 'for', or 'do'.
ConstexprIf, ///< A constant boolean condition from 'if constexpr'.
Switch ///< An integral condition for a 'switch' statement.
};
ConditionResult ActOnCondition(Scope *S, SourceLocation Loc,
Expr *SubExpr, ConditionKind CK);
ConditionResult ActOnConditionVariable(Decl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
DeclResult ActOnCXXConditionDeclaration(Scope *S, Declarator &D);
ExprResult CheckConditionVariable(VarDecl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
ExprResult CheckSwitchCondition(SourceLocation SwitchLoc, Expr *Cond);
/// CheckBooleanCondition - Diagnose problems involving the use of
/// the given expression as a boolean condition (e.g. in an if
/// statement). Also performs the standard function and array
/// decays, possibly changing the input variable.
///
/// \param Loc - A location associated with the condition, e.g. the
/// 'if' keyword.
/// \return true iff there were any errors
ExprResult CheckBooleanCondition(SourceLocation Loc, Expr *E,
bool IsConstexpr = false);
/// DiagnoseAssignmentAsCondition - Given that an expression is
/// being used as a boolean condition, warn if it's an assignment.
void DiagnoseAssignmentAsCondition(Expr *E);
/// Redundant parentheses over an equality comparison can indicate
/// that the user intended an assignment used as condition.
void DiagnoseEqualityWithExtraParens(ParenExpr *ParenE);
/// CheckCXXBooleanCondition - Returns true if conversion to bool is invalid.
ExprResult CheckCXXBooleanCondition(Expr *CondExpr, bool IsConstexpr = false);
/// ConvertIntegerToTypeWarnOnOverflow - Convert the specified APInt to have
/// the specified width and sign. If an overflow occurs, detect it and emit
/// the specified diagnostic.
void ConvertIntegerToTypeWarnOnOverflow(llvm::APSInt &OldVal,
unsigned NewWidth, bool NewSign,
SourceLocation Loc, unsigned DiagID);
/// Checks that the Objective-C declaration is declared in the global scope.
/// Emits an error and marks the declaration as invalid if it's not declared
/// in the global scope.
bool CheckObjCDeclScope(Decl *D);
/// Abstract base class used for diagnosing integer constant
/// expression violations.
class VerifyICEDiagnoser {
public:
bool Suppress;
VerifyICEDiagnoser(bool Suppress = false) : Suppress(Suppress) { }
virtual void diagnoseNotICE(Sema &S, SourceLocation Loc, SourceRange SR) =0;
virtual void diagnoseFold(Sema &S, SourceLocation Loc, SourceRange SR);
virtual ~VerifyICEDiagnoser() { }
};
/// VerifyIntegerConstantExpression - Verifies that an expression is an ICE,
/// and reports the appropriate diagnostics. Returns false on success.
/// Can optionally return the value of the expression.
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
VerifyICEDiagnoser &Diagnoser,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
unsigned DiagID,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E,
llvm::APSInt *Result = nullptr);
/// VerifyBitField - verifies that a bit field expression is an ICE and has
/// the correct width, and that the field type is valid.
/// Returns false on success.
/// Can optionally return whether the bit-field is of width 0
ExprResult VerifyBitField(SourceLocation FieldLoc, IdentifierInfo *FieldName,
QualType FieldTy, bool IsMsStruct,
Expr *BitWidth, bool *ZeroWidth = nullptr);
private:
unsigned ForceCUDAHostDeviceDepth = 0;
public:
/// Increments our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. So long as this count is greater
/// than zero, all functions encountered will be __host__ __device__.
void PushForceCUDAHostDevice();
/// Decrements our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. Returns false if the count is 0
/// before incrementing, so you can emit an error.
bool PopForceCUDAHostDevice();
/// Diagnostics that are emitted only if we discover that the given function
/// must be codegen'ed. Because handling these correctly adds overhead to
/// compilation, this is currently only enabled for CUDA compilations.
llvm::DenseMap<CanonicalDeclPtr<FunctionDecl>,
std::vector<PartialDiagnosticAt>>
CUDADeferredDiags;
/// A pair of a canonical FunctionDecl and a SourceLocation. When used as the
/// key in a hashtable, both the FD and location are hashed.
struct FunctionDeclAndLoc {
CanonicalDeclPtr<FunctionDecl> FD;
SourceLocation Loc;
};
/// FunctionDecls and SourceLocations for which CheckCUDACall has emitted a
/// (maybe deferred) "bad call" diagnostic. We use this to avoid emitting the
/// same deferred diag twice.
llvm::DenseSet<FunctionDeclAndLoc> LocsWithCUDACallDiags;
/// An inverse call graph, mapping known-emitted functions to one of their
/// known-emitted callers (plus the location of the call).
///
/// Functions that we can tell a priori must be emitted aren't added to this
/// map.
llvm::DenseMap</* Callee = */ CanonicalDeclPtr<FunctionDecl>,
/* Caller = */ FunctionDeclAndLoc>
CUDAKnownEmittedFns;
/// A partial call graph maintained during CUDA compilation to support
/// deferred diagnostics.
///
/// Functions are only added here if, at the time they're considered, they are
/// not known-emitted. As soon as we discover that a function is
/// known-emitted, we remove it and everything it transitively calls from this
/// set and add those functions to CUDAKnownEmittedFns.
llvm::DenseMap</* Caller = */ CanonicalDeclPtr<FunctionDecl>,
/* Callees = */ llvm::MapVector<CanonicalDeclPtr<FunctionDecl>,
SourceLocation>>
CUDACallGraph;
/// Diagnostic builder for CUDA errors which may or may not be deferred.
///
/// In CUDA, there exist constructs (e.g. variable-length arrays, try/catch)
/// which are not allowed to appear inside __device__ functions and are
/// allowed to appear in __host__ __device__ functions only if the host+device
/// function is never codegen'ed.
///
/// To handle this, we use the notion of "deferred diagnostics", where we
/// attach a diagnostic to a FunctionDecl that's emitted iff it's codegen'ed.
///
/// This class lets you emit either a regular diagnostic, a deferred
/// diagnostic, or no diagnostic at all, according to an argument you pass to
/// its constructor, thus simplifying the process of creating these "maybe
/// deferred" diagnostics.
class CUDADiagBuilder {
public:
enum Kind {
/// Emit no diagnostics.
K_Nop,
/// Emit the diagnostic immediately (i.e., behave like Sema::Diag()).
K_Immediate,
/// Emit the diagnostic immediately, and, if it's a warning or error, also
/// emit a call stack showing how this function can be reached by an a
/// priori known-emitted function.
K_ImmediateWithCallStack,
/// Create a deferred diagnostic, which is emitted only if the function
/// it's attached to is codegen'ed. Also emit a call stack as with
/// K_ImmediateWithCallStack.
K_Deferred
};
CUDADiagBuilder(Kind K, SourceLocation Loc, unsigned DiagID,
FunctionDecl *Fn, Sema &S);
~CUDADiagBuilder();
/// Convertible to bool: True if we immediately emitted an error, false if
/// we didn't emit an error or we created a deferred error.
///
/// Example usage:
///
/// if (CUDADiagBuilder(...) << foo << bar)
/// return ExprError();
///
/// But see CUDADiagIfDeviceCode() and CUDADiagIfHostCode() -- you probably
/// want to use these instead of creating a CUDADiagBuilder yourself.
operator bool() const { return ImmediateDiag.hasValue(); }
template <typename T>
friend const CUDADiagBuilder &operator<<(const CUDADiagBuilder &Diag,
const T &Value) {
if (Diag.ImmediateDiag.hasValue())
*Diag.ImmediateDiag << Value;
else if (Diag.PartialDiag.hasValue())
*Diag.PartialDiag << Value;
return Diag;
}
private:
Sema &S;
SourceLocation Loc;
unsigned DiagID;
FunctionDecl *Fn;
bool ShowCallStack;
// Invariant: At most one of these Optionals has a value.
// FIXME: Switch these to a Variant once that exists.
llvm::Optional<SemaDiagnosticBuilder> ImmediateDiag;
llvm::Optional<PartialDiagnostic> PartialDiag;
};
/// Creates a CUDADiagBuilder that emits the diagnostic if the current context
/// is "used as device code".
///
/// - If CurContext is a __host__ function, does not emit any diagnostics.
/// - If CurContext is a __device__ or __global__ function, emits the
/// diagnostics immediately.
/// - If CurContext is a __host__ __device__ function and we are compiling for
/// the device, creates a diagnostic which is emitted if and when we realize
/// that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in CUDA device code.
/// if (CUDADiagIfDeviceCode(Loc, diag::err_cuda_vla) << CurrentCUDATarget())
/// return ExprError();
/// // Otherwise, continue parsing as normal.
CUDADiagBuilder CUDADiagIfDeviceCode(SourceLocation Loc, unsigned DiagID);
/// Creates a CUDADiagBuilder that emits the diagnostic if the current context
/// is "used as host code".
///
/// Same as CUDADiagIfDeviceCode, with "host" and "device" switched.
CUDADiagBuilder CUDADiagIfHostCode(SourceLocation Loc, unsigned DiagID);
enum CUDAFunctionTarget {
CFT_Device,
CFT_Global,
CFT_Host,
CFT_HostDevice,
CFT_InvalidTarget
};
/// Determines whether the given function is a CUDA device/host/kernel/etc.
/// function.
///
/// Use this rather than examining the function's attributes yourself -- you
/// will get it wrong. Returns CFT_Host if D is null.
CUDAFunctionTarget IdentifyCUDATarget(const FunctionDecl *D,
bool IgnoreImplicitHDAttr = false);
CUDAFunctionTarget IdentifyCUDATarget(const ParsedAttributesView &Attrs);
/// Gets the CUDA target for the current context.
CUDAFunctionTarget CurrentCUDATarget() {
return IdentifyCUDATarget(dyn_cast<FunctionDecl>(CurContext));
}
// CUDA function call preference. Must be ordered numerically from
// worst to best.
enum CUDAFunctionPreference {
CFP_Never, // Invalid caller/callee combination.
CFP_WrongSide, // Calls from host-device to host or device
// function that do not match current compilation
// mode.
CFP_HostDevice, // Any calls to host/device functions.
CFP_SameSide, // Calls from host-device to host or device
// function matching current compilation mode.
CFP_Native, // host-to-host or device-to-device calls.
};
/// Identifies relative preference of a given Caller/Callee
/// combination, based on their host/device attributes.
/// \param Caller function which needs address of \p Callee.
/// nullptr in case of global context.
/// \param Callee target function
///
/// \returns preference value for particular Caller/Callee combination.
CUDAFunctionPreference IdentifyCUDAPreference(const FunctionDecl *Caller,
const FunctionDecl *Callee);
/// Determines whether Caller may invoke Callee, based on their CUDA
/// host/device attributes. Returns false if the call is not allowed.
///
/// Note: Will return true for CFP_WrongSide calls. These may appear in
/// semantically correct CUDA programs, but only if they're never codegen'ed.
bool IsAllowedCUDACall(const FunctionDecl *Caller,
const FunctionDecl *Callee) {
return IdentifyCUDAPreference(Caller, Callee) != CFP_Never;
}
/// May add implicit CUDAHostAttr and CUDADeviceAttr attributes to FD,
/// depending on FD and the current compilation settings.
void maybeAddCUDAHostDeviceAttrs(FunctionDecl *FD,
const LookupResult &Previous);
public:
/// Check whether we're allowed to call Callee from the current context.
///
/// - If the call is never allowed in a semantically-correct program
/// (CFP_Never), emits an error and returns false.
///
/// - If the call is allowed in semantically-correct programs, but only if
/// it's never codegen'ed (CFP_WrongSide), creates a deferred diagnostic to
/// be emitted if and when the caller is codegen'ed, and returns true.
///
/// Will only create deferred diagnostics for a given SourceLocation once,
/// so you can safely call this multiple times without generating duplicate
/// deferred errors.
///
/// - Otherwise, returns true without emitting any diagnostics.
bool CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee);
/// Set __device__ or __host__ __device__ attributes on the given lambda
/// operator() method.
///
/// CUDA lambdas declared inside __device__ or __global__ functions inherit
/// the __device__ attribute. Similarly, lambdas inside __host__ __device__
/// functions become __host__ __device__ themselves.
void CUDASetLambdaAttrs(CXXMethodDecl *Method);
/// Finds a function in \p Matches with highest calling priority
/// from \p Caller context and erases all functions with lower
/// calling priority.
void EraseUnwantedCUDAMatches(
const FunctionDecl *Caller,
SmallVectorImpl<std::pair<DeclAccessPair, FunctionDecl *>> &Matches);
/// Given a implicit special member, infer its CUDA target from the
/// calls it needs to make to underlying base/field special members.
/// \param ClassDecl the class for which the member is being created.
/// \param CSM the kind of special member.
/// \param MemberDecl the special member itself.
/// \param ConstRHS true if this is a copy operation with a const object on
/// its RHS.
/// \param Diagnose true if this call should emit diagnostics.
/// \return true if there was an error inferring.
/// The result of this call is implicit CUDA target attribute(s) attached to
/// the member declaration.
bool inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl,
CXXSpecialMember CSM,
CXXMethodDecl *MemberDecl,
bool ConstRHS,
bool Diagnose);
/// \return true if \p CD can be considered empty according to CUDA
/// (E.2.3.1 in CUDA 7.5 Programming guide).
bool isEmptyCudaConstructor(SourceLocation Loc, CXXConstructorDecl *CD);
bool isEmptyCudaDestructor(SourceLocation Loc, CXXDestructorDecl *CD);
// \brief Checks that initializers of \p Var satisfy CUDA restrictions. In
// case of error emits appropriate diagnostic and invalidates \p Var.
//
// \details CUDA allows only empty constructors as initializers for global
// variables (see E.2.3.1, CUDA 7.5). The same restriction also applies to all
// __shared__ variables whether they are local or not (they all are implicitly
// static in CUDA). One exception is that CUDA allows constant initializers
// for __constant__ and __device__ variables.
void checkAllowedCUDAInitializer(VarDecl *VD);
/// Check whether NewFD is a valid overload for CUDA. Emits
/// diagnostics and invalidates NewFD if not.
void checkCUDATargetOverload(FunctionDecl *NewFD,
const LookupResult &Previous);
/// Copies target attributes from the template TD to the function FD.
void inheritCUDATargetAttrs(FunctionDecl *FD, const FunctionTemplateDecl &TD);
/// Returns the name of the launch configuration function. This is the name
/// of the function that will be called to configure kernel call, with the
/// parameters specified via <<<>>>.
std::string getCudaConfigureFuncName() const;
/// \name Code completion
//@{
/// Describes the context in which code completion occurs.
enum ParserCompletionContext {
/// Code completion occurs at top-level or namespace context.
PCC_Namespace,
/// Code completion occurs within a class, struct, or union.
PCC_Class,
/// Code completion occurs within an Objective-C interface, protocol,
/// or category.
PCC_ObjCInterface,
/// Code completion occurs within an Objective-C implementation or
/// category implementation
PCC_ObjCImplementation,
/// Code completion occurs within the list of instance variables
/// in an Objective-C interface, protocol, category, or implementation.
PCC_ObjCInstanceVariableList,
/// Code completion occurs following one or more template
/// headers.
PCC_Template,
/// Code completion occurs following one or more template
/// headers within a class.
PCC_MemberTemplate,
/// Code completion occurs within an expression.
PCC_Expression,
/// Code completion occurs within a statement, which may
/// also be an expression or a declaration.
PCC_Statement,
/// Code completion occurs at the beginning of the
/// initialization statement (or expression) in a for loop.
PCC_ForInit,
/// Code completion occurs within the condition of an if,
/// while, switch, or for statement.
PCC_Condition,
/// Code completion occurs within the body of a function on a
/// recovery path, where we do not have a specific handle on our position
/// in the grammar.
PCC_RecoveryInFunction,
/// Code completion occurs where only a type is permitted.
PCC_Type,
/// Code completion occurs in a parenthesized expression, which
/// might also be a type cast.
PCC_ParenthesizedExpression,
/// Code completion occurs within a sequence of declaration
/// specifiers within a function, method, or block.
PCC_LocalDeclarationSpecifiers
};
void CodeCompleteModuleImport(SourceLocation ImportLoc, ModuleIdPath Path);
void CodeCompleteOrdinaryName(Scope *S,
ParserCompletionContext CompletionContext);
void CodeCompleteDeclSpec(Scope *S, DeclSpec &DS,
bool AllowNonIdentifiers,
bool AllowNestedNameSpecifiers);
struct CodeCompleteExpressionData;
void CodeCompleteExpression(Scope *S,
const CodeCompleteExpressionData &Data);
void CodeCompleteExpression(Scope *S, QualType PreferredType,
bool IsParenthesized = false);
void CodeCompleteMemberReferenceExpr(Scope *S, Expr *Base, Expr *OtherOpBase,
SourceLocation OpLoc, bool IsArrow,
bool IsBaseExprStatement,
QualType PreferredType);
void CodeCompletePostfixExpression(Scope *S, ExprResult LHS,
QualType PreferredType);
void CodeCompleteTag(Scope *S, unsigned TagSpec);
void CodeCompleteTypeQualifiers(DeclSpec &DS);
void CodeCompleteFunctionQualifiers(DeclSpec &DS, Declarator &D,
const VirtSpecifiers *VS = nullptr);
void CodeCompleteBracketDeclarator(Scope *S);
void CodeCompleteCase(Scope *S);
/// Reports signatures for a call to CodeCompleteConsumer and returns the
/// preferred type for the current argument. Returned type can be null.
QualType ProduceCallSignatureHelp(Scope *S, Expr *Fn, ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceConstructorSignatureHelp(Scope *S, QualType Type,
SourceLocation Loc,
ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceCtorInitMemberSignatureHelp(Scope *S, Decl *ConstructorDecl,
CXXScopeSpec SS,
ParsedType TemplateTypeTy,
ArrayRef<Expr *> ArgExprs,
IdentifierInfo *II,
SourceLocation OpenParLoc);
void CodeCompleteInitializer(Scope *S, Decl *D);
void CodeCompleteAfterIf(Scope *S);
void CodeCompleteQualifiedId(Scope *S, CXXScopeSpec &SS,
bool EnteringContext, QualType BaseType);
void CodeCompleteUsing(Scope *S);
void CodeCompleteUsingDirective(Scope *S);
void CodeCompleteNamespaceDecl(Scope *S);
void CodeCompleteNamespaceAliasDecl(Scope *S);
void CodeCompleteOperatorName(Scope *S);
void CodeCompleteConstructorInitializer(
Decl *Constructor,
ArrayRef<CXXCtorInitializer *> Initializers);
void CodeCompleteLambdaIntroducer(Scope *S, LambdaIntroducer &Intro,
bool AfterAmpersand);
void CodeCompleteObjCAtDirective(Scope *S);
void CodeCompleteObjCAtVisibility(Scope *S);
void CodeCompleteObjCAtStatement(Scope *S);
void CodeCompleteObjCAtExpression(Scope *S);
void CodeCompleteObjCPropertyFlags(Scope *S, ObjCDeclSpec &ODS);
void CodeCompleteObjCPropertyGetter(Scope *S);
void CodeCompleteObjCPropertySetter(Scope *S);
void CodeCompleteObjCPassingType(Scope *S, ObjCDeclSpec &DS,
bool IsParameter);
void CodeCompleteObjCMessageReceiver(Scope *S);
void CodeCompleteObjCSuperMessage(Scope *S, SourceLocation SuperLoc,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression);
void CodeCompleteObjCClassMessage(Scope *S, ParsedType Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
bool IsSuper = false);
void CodeCompleteObjCInstanceMessage(Scope *S, Expr *Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
ObjCInterfaceDecl *Super = nullptr);
void CodeCompleteObjCForCollection(Scope *S,
DeclGroupPtrTy IterationVar);
void CodeCompleteObjCSelector(Scope *S,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCProtocolReferences(
ArrayRef<IdentifierLocPair> Protocols);
void CodeCompleteObjCProtocolDecl(Scope *S);
void CodeCompleteObjCInterfaceDecl(Scope *S);
void CodeCompleteObjCSuperclass(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationDecl(Scope *S);
void CodeCompleteObjCInterfaceCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCPropertyDefinition(Scope *S);
void CodeCompleteObjCPropertySynthesizeIvar(Scope *S,
IdentifierInfo *PropertyName);
void CodeCompleteObjCMethodDecl(Scope *S, Optional<bool> IsInstanceMethod,
ParsedType ReturnType);
void CodeCompleteObjCMethodDeclSelector(Scope *S,
bool IsInstanceMethod,
bool AtParameterName,
ParsedType ReturnType,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCClassPropertyRefExpr(Scope *S, IdentifierInfo &ClassName,
SourceLocation ClassNameLoc,
bool IsBaseExprStatement);
void CodeCompletePreprocessorDirective(bool InConditional);
void CodeCompleteInPreprocessorConditionalExclusion(Scope *S);
void CodeCompletePreprocessorMacroName(bool IsDefinition);
void CodeCompletePreprocessorExpression();
void CodeCompletePreprocessorMacroArgument(Scope *S,
IdentifierInfo *Macro,
MacroInfo *MacroInfo,
unsigned Argument);
void CodeCompleteIncludedFile(llvm::StringRef Dir, bool IsAngled);
void CodeCompleteNaturalLanguage();
void CodeCompleteAvailabilityPlatformName();
void GatherGlobalCodeCompletions(CodeCompletionAllocator &Allocator,
CodeCompletionTUInfo &CCTUInfo,
SmallVectorImpl<CodeCompletionResult> &Results);
//@}
//===--------------------------------------------------------------------===//
// Extra semantic analysis beyond the C type system
public:
SourceLocation getLocationOfStringLiteralByte(const StringLiteral *SL,
unsigned ByteNo) const;
private:
void CheckArrayAccess(const Expr *BaseExpr, const Expr *IndexExpr,
const ArraySubscriptExpr *ASE=nullptr,
bool AllowOnePastEnd=true, bool IndexNegated=false);
void CheckArrayAccess(const Expr *E);
// Used to grab the relevant information from a FormatAttr and a
// FunctionDeclaration.
struct FormatStringInfo {
unsigned FormatIdx;
unsigned FirstDataArg;
bool HasVAListArg;
};
static bool getFormatStringInfo(const FormatAttr *Format, bool IsCXXMember,
FormatStringInfo *FSI);
bool CheckFunctionCall(FunctionDecl *FDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckObjCMethodCall(ObjCMethodDecl *Method, SourceLocation loc,
ArrayRef<const Expr *> Args);
bool CheckPointerCall(NamedDecl *NDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckOtherCall(CallExpr *TheCall, const FunctionProtoType *Proto);
void CheckConstructorCall(FunctionDecl *FDecl,
ArrayRef<const Expr *> Args,
const FunctionProtoType *Proto,
SourceLocation Loc);
void checkCall(NamedDecl *FDecl, const FunctionProtoType *Proto,
const Expr *ThisArg, ArrayRef<const Expr *> Args,
bool IsMemberFunction, SourceLocation Loc, SourceRange Range,
VariadicCallType CallType);
bool CheckObjCString(Expr *Arg);
ExprResult CheckOSLogFormatStringArg(Expr *Arg);
ExprResult CheckBuiltinFunctionCall(FunctionDecl *FDecl,
unsigned BuiltinID, CallExpr *TheCall);
bool CheckARMBuiltinExclusiveCall(unsigned BuiltinID, CallExpr *TheCall,
unsigned MaxWidth);
bool CheckNeonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckARMBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckAArch64BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinCpu(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinArgument(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSystemZBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinRoundingOrSAE(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinGatherScatterScale(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckPPCBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStart(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStartARMMicrosoft(CallExpr *Call);
bool SemaBuiltinUnorderedCompare(CallExpr *TheCall);
bool SemaBuiltinFPClassification(CallExpr *TheCall, unsigned NumArgs);
bool SemaBuiltinVSX(CallExpr *TheCall);
bool SemaBuiltinOSLogFormat(CallExpr *TheCall);
public:
// Used by C++ template instantiation.
ExprResult SemaBuiltinShuffleVector(CallExpr *TheCall);
ExprResult SemaConvertVectorExpr(Expr *E, TypeSourceInfo *TInfo,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
private:
bool SemaBuiltinPrefetch(CallExpr *TheCall);
bool SemaBuiltinAllocaWithAlign(CallExpr *TheCall);
bool SemaBuiltinAssume(CallExpr *TheCall);
bool SemaBuiltinAssumeAligned(CallExpr *TheCall);
bool SemaBuiltinLongjmp(CallExpr *TheCall);
bool SemaBuiltinSetjmp(CallExpr *TheCall);
ExprResult SemaBuiltinAtomicOverloaded(ExprResult TheCallResult);
ExprResult SemaBuiltinNontemporalOverloaded(ExprResult TheCallResult);
ExprResult SemaAtomicOpsOverloaded(ExprResult TheCallResult,
AtomicExpr::AtomicOp Op);
ExprResult SemaBuiltinOperatorNewDeleteOverloaded(ExprResult TheCallResult,
bool IsDelete);
bool SemaBuiltinConstantArg(CallExpr *TheCall, int ArgNum,
llvm::APSInt &Result);
bool SemaBuiltinConstantArgRange(CallExpr *TheCall, int ArgNum, int Low,
int High, bool RangeIsError = true);
bool SemaBuiltinConstantArgMultiple(CallExpr *TheCall, int ArgNum,
unsigned Multiple);
bool SemaBuiltinARMSpecialReg(unsigned BuiltinID, CallExpr *TheCall,
int ArgNum, unsigned ExpectedFieldNum,
bool AllowName);
public:
enum FormatStringType {
FST_Scanf,
FST_Printf,
FST_NSString,
FST_Strftime,
FST_Strfmon,
FST_Kprintf,
FST_FreeBSDKPrintf,
FST_OSTrace,
FST_OSLog,
FST_Unknown
};
static FormatStringType GetFormatStringType(const FormatAttr *Format);
bool FormatStringHasSArg(const StringLiteral *FExpr);
static bool GetFormatNSStringIdx(const FormatAttr *Format, unsigned &Idx);
private:
bool CheckFormatArguments(const FormatAttr *Format,
ArrayRef<const Expr *> Args,
bool IsCXXMember,
VariadicCallType CallType,
SourceLocation Loc, SourceRange Range,
llvm::SmallBitVector &CheckedVarArgs);
bool CheckFormatArguments(ArrayRef<const Expr *> Args,
bool HasVAListArg, unsigned format_idx,
unsigned firstDataArg, FormatStringType Type,
VariadicCallType CallType,
SourceLocation Loc, SourceRange range,
llvm::SmallBitVector &CheckedVarArgs);
void CheckAbsoluteValueFunction(const CallExpr *Call,
const FunctionDecl *FDecl);
void CheckMaxUnsignedZero(const CallExpr *Call, const FunctionDecl *FDecl);
void CheckMemaccessArguments(const CallExpr *Call,
unsigned BId,
IdentifierInfo *FnName);
void CheckStrlcpycatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckStrncatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckReturnValExpr(Expr *RetValExp, QualType lhsType,
SourceLocation ReturnLoc,
bool isObjCMethod = false,
const AttrVec *Attrs = nullptr,
const FunctionDecl *FD = nullptr);
public:
void CheckFloatComparison(SourceLocation Loc, Expr *LHS, Expr *RHS);
private:
void CheckImplicitConversions(Expr *E, SourceLocation CC = SourceLocation());
void CheckBoolLikeConversion(Expr *E, SourceLocation CC);
void CheckForIntOverflow(Expr *E);
void CheckUnsequencedOperations(Expr *E);
/// Perform semantic checks on a completed expression. This will either
/// be a full-expression or a default argument expression.
void CheckCompletedExpr(Expr *E, SourceLocation CheckLoc = SourceLocation(),
bool IsConstexpr = false);
void CheckBitFieldInitialization(SourceLocation InitLoc, FieldDecl *Field,
Expr *Init);
/// Check if there is a field shadowing.
void CheckShadowInheritedFields(const SourceLocation &Loc,
DeclarationName FieldName,
const CXXRecordDecl *RD,
bool DeclIsField = true);
/// Check if the given expression contains 'break' or 'continue'
/// statement that produces control flow different from GCC.
void CheckBreakContinueBinding(Expr *E);
/// Check whether receiver is mutable ObjC container which
/// attempts to add itself into the container
void CheckObjCCircularContainer(ObjCMessageExpr *Message);
void AnalyzeDeleteExprMismatch(const CXXDeleteExpr *DE);
void AnalyzeDeleteExprMismatch(FieldDecl *Field, SourceLocation DeleteLoc,
bool DeleteWasArrayForm);
public:
/// Register a magic integral constant to be used as a type tag.
void RegisterTypeTagForDatatype(const IdentifierInfo *ArgumentKind,
uint64_t MagicValue, QualType Type,
bool LayoutCompatible, bool MustBeNull);
struct TypeTagData {
TypeTagData() {}
TypeTagData(QualType Type, bool LayoutCompatible, bool MustBeNull) :
Type(Type), LayoutCompatible(LayoutCompatible),
MustBeNull(MustBeNull)
{}
QualType Type;
/// If true, \c Type should be compared with other expression's types for
/// layout-compatibility.
unsigned LayoutCompatible : 1;
unsigned MustBeNull : 1;
};
/// A pair of ArgumentKind identifier and magic value. This uniquely
/// identifies the magic value.
typedef std::pair<const IdentifierInfo *, uint64_t> TypeTagMagicValue;
private:
/// A map from magic value to type information.
std::unique_ptr<llvm::DenseMap<TypeTagMagicValue, TypeTagData>>
TypeTagForDatatypeMagicValues;
/// Peform checks on a call of a function with argument_with_type_tag
/// or pointer_with_type_tag attributes.
void CheckArgumentWithTypeTag(const ArgumentWithTypeTagAttr *Attr,
const ArrayRef<const Expr *> ExprArgs,
SourceLocation CallSiteLoc);
/// Check if we are taking the address of a packed field
/// as this may be a problem if the pointer value is dereferenced.
void CheckAddressOfPackedMember(Expr *rhs);
/// The parser's current scope.
///
/// The parser maintains this state here.
Scope *CurScope;
mutable IdentifierInfo *Ident_super;
mutable IdentifierInfo *Ident___float128;
/// Nullability type specifiers.
IdentifierInfo *Ident__Nonnull = nullptr;
IdentifierInfo *Ident__Nullable = nullptr;
IdentifierInfo *Ident__Null_unspecified = nullptr;
IdentifierInfo *Ident_NSError = nullptr;
/// The handler for the FileChanged preprocessor events.
///
/// Used for diagnostics that implement custom semantic analysis for #include
/// directives, like -Wpragma-pack.
sema::SemaPPCallbacks *SemaPPCallbackHandler;
protected:
friend class Parser;
friend class InitializationSequence;
friend class ASTReader;
friend class ASTDeclReader;
friend class ASTWriter;
public:
/// Retrieve the keyword associated
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability);
/// The struct behind the CFErrorRef pointer.
RecordDecl *CFError = nullptr;
/// Retrieve the identifier "NSError".
IdentifierInfo *getNSErrorIdent();
/// Retrieve the parser's current scope.
///
/// This routine must only be used when it is certain that semantic analysis
/// and the parser are in precisely the same context, which is not the case
/// when, e.g., we are performing any kind of template instantiation.
/// Therefore, the only safe places to use this scope are in the parser
/// itself and in routines directly invoked from the parser and *never* from
/// template substitution or instantiation.
Scope *getCurScope() const { return CurScope; }
void incrementMSManglingNumber() const {
return CurScope->incrementMSManglingNumber();
}
IdentifierInfo *getSuperIdentifier() const;
IdentifierInfo *getFloat128Identifier() const;
Decl *getObjCDeclContext() const;
DeclContext *getCurLexicalContext() const {
return OriginalLexicalContext ? OriginalLexicalContext : CurContext;
}
const DeclContext *getCurObjCLexicalContext() const {
const DeclContext *DC = getCurLexicalContext();
// A category implicitly has the attribute of the interface.
if (const ObjCCategoryDecl *CatD = dyn_cast<ObjCCategoryDecl>(DC))
DC = CatD->getClassInterface();
return DC;
}
/// To be used for checking whether the arguments being passed to
/// function exceeds the number of parameters expected for it.
static bool TooManyArguments(size_t NumParams, size_t NumArgs,
bool PartialOverloading = false) {
// We check whether we're just after a comma in code-completion.
if (NumArgs > 0 && PartialOverloading)
return NumArgs + 1 > NumParams; // If so, we view as an extra argument.
return NumArgs > NumParams;
}
// Emitting members of dllexported classes is delayed until the class
// (including field initializers) is fully parsed.
SmallVector<CXXRecordDecl*, 4> DelayedDllExportClasses;
private:
class SavePendingParsedClassStateRAII {
public:
SavePendingParsedClassStateRAII(Sema &S) : S(S) { swapSavedState(); }
~SavePendingParsedClassStateRAII() {
assert(S.DelayedOverridingExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
assert(S.DelayedEquivalentExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
assert(S.DelayedDefaultedMemberExceptionSpecs.empty() &&
"there shouldn't be any pending delayed defaulted member "
"exception specs");
assert(S.DelayedDllExportClasses.empty() &&
"there shouldn't be any pending delayed DLL export classes");
swapSavedState();
}
private:
Sema &S;
decltype(DelayedOverridingExceptionSpecChecks)
SavedOverridingExceptionSpecChecks;
decltype(DelayedEquivalentExceptionSpecChecks)
SavedEquivalentExceptionSpecChecks;
decltype(DelayedDefaultedMemberExceptionSpecs)
SavedDefaultedMemberExceptionSpecs;
decltype(DelayedDllExportClasses) SavedDllExportClasses;
void swapSavedState() {
SavedOverridingExceptionSpecChecks.swap(
S.DelayedOverridingExceptionSpecChecks);
SavedEquivalentExceptionSpecChecks.swap(
S.DelayedEquivalentExceptionSpecChecks);
SavedDefaultedMemberExceptionSpecs.swap(
S.DelayedDefaultedMemberExceptionSpecs);
SavedDllExportClasses.swap(S.DelayedDllExportClasses);
}
};
/// Helper class that collects misaligned member designations and
/// their location info for delayed diagnostics.
struct MisalignedMember {
Expr *E;
RecordDecl *RD;
ValueDecl *MD;
CharUnits Alignment;
MisalignedMember() : E(), RD(), MD(), Alignment() {}
MisalignedMember(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment)
: E(E), RD(RD), MD(MD), Alignment(Alignment) {}
explicit MisalignedMember(Expr *E)
: MisalignedMember(E, nullptr, nullptr, CharUnits()) {}
bool operator==(const MisalignedMember &m) { return this->E == m.E; }
};
/// Small set of gathered accesses to potentially misaligned members
/// due to the packed attribute.
SmallVector<MisalignedMember, 4> MisalignedMembers;
/// Adds an expression to the set of gathered misaligned members.
void AddPotentialMisalignedMembers(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment);
public:
/// Diagnoses the current set of gathered accesses. This typically
/// happens at full expression level. The set is cleared after emitting the
/// diagnostics.
void DiagnoseMisalignedMembers();
/// This function checks if the expression is in the sef of potentially
/// misaligned members and it is converted to some pointer type T with lower
/// or equal alignment requirements. If so it removes it. This is used when
/// we do not want to diagnose such misaligned access (e.g. in conversions to
/// void*).
void DiscardMisalignedMemberAddress(const Type *T, Expr *E);
/// This function calls Action when it determines that E designates a
/// misaligned member due to the packed attribute. This is used to emit
/// local diagnostics like in reference binding.
void RefersToMemberWithReducedAlignment(
Expr *E,
llvm::function_ref<void(Expr *, RecordDecl *, FieldDecl *, CharUnits)>
Action);
};
/// RAII object that enters a new expression evaluation context.
class EnterExpressionEvaluationContext {
Sema &Actions;
bool Entered = true;
public:
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other,
bool ShouldEnter = true)
: Actions(Actions), Entered(ShouldEnter) {
if (Entered)
Actions.PushExpressionEvaluationContext(NewContext, LambdaContextDecl,
ExprContext);
}
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Sema::ReuseLambdaContextDecl_t,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other)
: Actions(Actions) {
Actions.PushExpressionEvaluationContext(
NewContext, Sema::ReuseLambdaContextDecl, ExprContext);
}
enum InitListTag { InitList };
EnterExpressionEvaluationContext(Sema &Actions, InitListTag,
bool ShouldEnter = true)
: Actions(Actions), Entered(false) {
// In C++11 onwards, narrowing checks are performed on the contents of
// braced-init-lists, even when they occur within unevaluated operands.
// Therefore we still need to instantiate constexpr functions used in such
// a context.
if (ShouldEnter && Actions.isUnevaluatedContext() &&
Actions.getLangOpts().CPlusPlus11) {
Actions.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::UnevaluatedList);
Entered = true;
}
}
~EnterExpressionEvaluationContext() {
if (Entered)
Actions.PopExpressionEvaluationContext();
}
};
DeductionFailureInfo
MakeDeductionFailureInfo(ASTContext &Context, Sema::TemplateDeductionResult TDK,
sema::TemplateDeductionInfo &Info);
/// Contains a late templated function.
/// Will be parsed at the end of the translation unit, used by Sema & Parser.
struct LateParsedTemplate {
CachedTokens Toks;
/// The template function declaration to be late parsed.
Decl *D;
};
} // end namespace clang
namespace llvm {
// Hash a FunctionDeclAndLoc by looking at both its FunctionDecl and its
// SourceLocation.
template <> struct DenseMapInfo<clang::Sema::FunctionDeclAndLoc> {
using FunctionDeclAndLoc = clang::Sema::FunctionDeclAndLoc;
using FDBaseInfo = DenseMapInfo<clang::CanonicalDeclPtr<clang::FunctionDecl>>;
static FunctionDeclAndLoc getEmptyKey() {
return {FDBaseInfo::getEmptyKey(), clang::SourceLocation()};
}
static FunctionDeclAndLoc getTombstoneKey() {
return {FDBaseInfo::getTombstoneKey(), clang::SourceLocation()};
}
static unsigned getHashValue(const FunctionDeclAndLoc &FDL) {
return hash_combine(FDBaseInfo::getHashValue(FDL.FD),
FDL.Loc.getRawEncoding());
}
static bool isEqual(const FunctionDeclAndLoc &LHS,
const FunctionDeclAndLoc &RHS) {
return LHS.FD == RHS.FD && LHS.Loc == RHS.Loc;
}
};
} // namespace llvm
#endif
|
FDTD3D_GPU_VERSION.h | int NumberAlloc=0;
#if defined(CUDA)
cudaDeviceProp deviceProperties;
int *sm13DeviceList; // Device handles for each CUDA >=1.3 capable device
int deviceCount = 0; // Total number of devices
int sm13DeviceCount = 0; // Number of devices that are CUDA >=1.3 capable
//---------------------------------------------------------------//
// Find all CUDA >=1.3-capable devices //
//---------------------------------------------------------------//
// Check for number of devices total
PRINTF("before cudaGetDeviceCount \n");
cudaGetDeviceCount(&deviceCount);
PRINTF("after cudaGetDeviceCount \n");
if(deviceCount == 0)
{
ERROR_STRING("There are no CUDA devices.\n");
}
else
{
PRINTF("There %s %i device%s.\n", deviceCount > 1 ? "are" : "is",
deviceCount,
deviceCount > 1 ? "s" : "");
}
// Make list of devices
sm13DeviceList = (int*) calloc(deviceCount, sizeof(int));
for(int deviceID = 0; deviceID < deviceCount; deviceID++)
{
// Check device properties
if(cudaGetDeviceProperties(&deviceProperties, deviceID) == cudaSuccess)
{
PRINTF("Found device [%d:%d]:\n", sm13DeviceCount, deviceID);
PRINTF(" Name: %s\n", deviceProperties.name);
PRINTF(" Compute capability: %i.%i\n", deviceProperties.major, deviceProperties.minor);
PRINTF(" Total memory: %li bytes\n", deviceProperties.totalGlobalMem);
PRINTF(" Threads per block: %i\n",deviceProperties.maxThreadsPerBlock);
PRINTF(" Max block dimensions: %i x %i x %i\n", deviceProperties.maxThreadsDim[0], deviceProperties.maxThreadsDim[1], deviceProperties.maxThreadsDim[2]);
PRINTF(" Max grid size: %i x %i x %i\n", deviceProperties.maxGridSize[0], deviceProperties.maxGridSize[1], deviceProperties.maxGridSize[2]);
PRINTF(" Shared memory per block: %i bytes\n", (int) deviceProperties.sharedMemPerBlock);
PRINTF(" Registers per block: %i\n", deviceProperties.regsPerBlock);
// Check major/minor CUDA versions
if(deviceProperties.major >=3 && strstr(deviceProperties.name, DefaultGPUDeviceName_pr) )
{
PRINTF(" At least one device available [%s] for calculations \n", deviceProperties.name);
// Add device to 3-capable list
sm13DeviceList[sm13DeviceCount] = deviceID;
sm13DeviceCount++;
}
}
}
// Were any of the devices 1.3-capable?
if(sm13DeviceCount == 0)
{
ERROR_STRING("There are no devices supporting CUDA or that matches selected device.\n");
}
if (INHOST(DefaultGPUDeviceNumber)>= sm13DeviceCount)
{
PRINTF("The requested device [%i] (0-base index) is more than the number of devices available [%i] \n",INHOST(DefaultGPUDeviceNumber),sm13DeviceCount);
ERROR_STRING("Unable to select requested device.\n");
}
PRINTF("Selecting device [%s] with number [%i] for calculations\n", DefaultGPUDeviceName_pr,INHOST(DefaultGPUDeviceNumber));
mxcheckGPUErrors(cudaSetDevice(sm13DeviceList[INHOST(DefaultGPUDeviceNumber)]));
mxcheckGPUErrors(cudaDeviceSetCacheConfig (cudaFuncCachePreferL1));
#endif
#ifdef OPENCL
cl_uint numPlatforms;
int err;
cl_device_id device_id[10]; // compute device id
cl_context context; // compute context
cl_command_queue commands; // compute command queue
cl_program program; // compute program
cl_kernel StressKernel; // compute kernel
cl_kernel ParticleKernel; // compute kernel
cl_kernel SnapShot; // compute kernel
cl_kernel SensorsKernel; // compute kernel
cl_char device_name[1024];
// Find number of platforms
mxcheckGPUErrors(clGetPlatformIDs(0, NULL, &numPlatforms));
if (numPlatforms == 0)
{
ERROR_STRING("Found 0 OPENCL platforms!\n");
}
// Get all platforms
cl_platform_id * Platform = (cl_platform_id*) malloc(numPlatforms*sizeof(cl_platform_id));
mxcheckGPUErrors(clGetPlatformIDs(numPlatforms, Platform, NULL));
// Secure a GPU
unsigned int total_devices;
int SelDevice=-1;
// Create a compute context
for (unsigned int icpu = 0; icpu < numPlatforms; icpu++)
{
err = clGetDeviceIDs(Platform[icpu], CL_DEVICE_TYPE_ALL, 10, device_id, &total_devices);
if (err == CL_SUCCESS)
{
break;
}
}
if (device_id[0] == NULL)
ERROR_STRING("Found 0 OPENCL devices!\n");
for (unsigned int icpu = 0; icpu <total_devices;icpu++)
{
mxcheckGPUErrors(output_device_info(device_id[icpu]));
err = clGetDeviceInfo(device_id[icpu], CL_DEVICE_NAME, sizeof(device_name), &device_name, NULL);
PRINTF("GPU device = %s\n",device_name);
if (NULL!=strstr((char *)device_name,DefaultGPUDeviceName_pr))
{
PRINTF("Found %s device!\n",DefaultGPUDeviceName_pr);
SelDevice=icpu;
break;
}
}
if (SelDevice==-1)
{
PRINTF("Device requested %s \n",DefaultGPUDeviceName_pr);
ERROR_STRING("Device requested was not found!\n");
}
size_t size_bits;
cl_uint address_bits;
clGetDeviceInfo(device_id[SelDevice], CL_DEVICE_ADDRESS_BITS, 0, NULL, &size_bits);
clGetDeviceInfo(device_id[SelDevice], CL_DEVICE_ADDRESS_BITS, size_bits, &address_bits, NULL);
PRINTF("size: %lu , bits: %u\n", size_bits, address_bits);
if (address_bits==32)
{
PRINTF("********************************\n");
PRINTF("WARNING - OpenCL driver only supports 32 bits, simulations only will be\n");
PRINTF("WARNING - useful for domains that uses less than 4 GB in total memory\n");
PRINTF("WARNING - Program may crash without an easy way to catch the error\n");
PRINTF("WARNING - Consider using CUDA backend if NVIDIA GPU in Win or Linux, or METAL backend in MacOS\n");
}
context = clCreateContext(0, 1, &device_id[SelDevice], NULL, NULL, &err);
mxcheckGPUErrors(err);
// Create a command queue
commands = clCreateCommandQueue(context, device_id[SelDevice], 0, &err);
mxcheckGPUErrors(err);
#endif
#ifdef METAL
_PT _c_mex_type[12] = {0,0,0,0,0,0,0,0,0,0,0,0};
_PT _c_uint_type = 0;
_PT HOST_INDEX_MEX[LENGTH_INDEX_MEX][2]; //need to encode 64 bits numbers in 32 arrays...
_PT HOST_INDEX_UINT[LENGTH_INDEX_UINT][2];
ns::Array<mtlpp::Device> AllDev= mtlpp::Device::CopyAllDevices();
mxcheckGPUErrors(((int)AllDev));
if (AllDev.GetSize()==0)
{
ERROR_STRING("Found 0 METAL platforms!\n");
}
unsigned int SelDevice=0;
{
for (int _n = 0;_n<AllDev.GetSize();_n++)
{
PRINTF("Metal device available: %i %s\n",_n,AllDev[_n].GetName().GetCStr());
if (NULL!=strstr(AllDev[_n].GetName().GetCStr(),DefaultGPUDeviceName_pr))
{
PRINTF("Found %s device!\n",DefaultGPUDeviceName_pr);
SelDevice=_n;
break;
}
}
}
if (SelDevice==-1)
{
PRINTF("Device requested %s \n",DefaultGPUDeviceName_pr);
ERROR_STRING("Device requested was not found!\n");
}
mtlpp::Device device= AllDev[SelDevice];
sprintf(BUFFER_FOR_GPU_CODE,"\n#define mexType %s\n#define METAL\n"
"#include <metal_stdlib>\nusing namespace metal;\n"
"#define MAX_SIZE_PML %i\n",MEX_STR,MAX_SIZE_PML);
char * indexingSource = load_file("_indexing.h");
if (indexingSource==0)
{
ERROR_STRING("Unable to read _indexing.h file!!")
}
strncat(BUFFER_FOR_GPU_CODE,indexingSource,MAXP_BUFFER_GPU_CODE);
strncat(BUFFER_FOR_GPU_CODE,"\n",MAXP_BUFFER_GPU_CODE);
free(indexingSource);
char * KernelSource = load_file("_gpu_kernel.c");
if (KernelSource==0)
{
ERROR_STRING("Unable to read _gpu_kernel.c file!!")
}
strncat(BUFFER_FOR_GPU_CODE,KernelSource,MAXP_BUFFER_GPU_CODE);
strncat(BUFFER_FOR_GPU_CODE,"\n",MAXP_BUFFER_GPU_CODE);
free(KernelSource);
PRINTF("After reading files\n");
ns::Error error;
mtlpp::Library library = device.NewLibrary(BUFFER_FOR_GPU_CODE, mtlpp::CompileOptions(), &error);
if (((int)library)==0)
{
FILE * TempKernel;
TempKernel=fopen("__For_Analysis_kernel.m", "w");
fprintf(TempKernel,"%s",BUFFER_FOR_GPU_CODE);
fclose(TempKernel);
PRINTF("GetLocalizedDescription = %s\n",error.GetLocalizedDescription().GetCStr());
PRINTF("GetLocalizedFailureReason = %s\n",error.GetLocalizedFailureReason().GetCStr());
PRINTF("GetLocalizedRecoverySuggestion = %s\n",error.GetLocalizedRecoverySuggestion().GetCStr());
PRINTF("GetLocalizedRecoveryOptions = %s\n",error.GetLocalizedRecoveryOptions().GetCStr());
PRINTF("GetHelpAnchor = %s\n",error.GetHelpAnchor().GetCStr());
ERROR_STRING("Error in compilation, see also file __For_Analysis_kernel.m that was generated with the metal code in the current directory")
}
mxcheckGPUErrors(((int)library));
PRINTF("After compiling code \n");
mtlpp::Function ParticleKernelFunc = library.NewFunction("ParticleKernel");
mxcheckGPUErrors(((int)ParticleKernelFunc));
mtlpp::ComputePipelineState computePipelineStateParticle = device.NewComputePipelineState(ParticleKernelFunc, nullptr);
mxcheckGPUErrors(((int)computePipelineStateParticle));
mtlpp::Function StressKernelFunc = library.NewFunction("StressKernel");
mxcheckGPUErrors(((int)StressKernelFunc));
mtlpp::ComputePipelineState computePipelineStateStress = device.NewComputePipelineState(StressKernelFunc, nullptr);
mxcheckGPUErrors(((int)computePipelineStateStress));
mtlpp::Function SnapShotFunc = library.NewFunction("SnapShot");
mxcheckGPUErrors(((int)SnapShotFunc));
mtlpp::ComputePipelineState computePipelineStateSnapShot = device.NewComputePipelineState(SnapShotFunc, nullptr);
mxcheckGPUErrors(((int)computePipelineStateSnapShot));
mtlpp::Function SensorsKernelFunc = library.NewFunction("SensorsKernel");
mxcheckGPUErrors(((int)SensorsKernelFunc));
mtlpp::ComputePipelineState computePipelineStateSensors = device.NewComputePipelineState(SensorsKernelFunc, nullptr);
mxcheckGPUErrors(((int)computePipelineStateSensors));
PRINTF("After getting all functions code \n");
mtlpp::CommandQueue commandQueue = device.NewCommandQueue();
mxcheckGPUErrors(((int)commandQueue));
mtlpp::Buffer _CONSTANT_BUFFER_UINT = device.NewBuffer(sizeof(unsigned int) * LENGTH_CONST_UINT, mtlpp::ResourceOptions::StorageModeManaged);
mxcheckGPUErrors(((int)_CONSTANT_BUFFER_UINT));
mtlpp::Buffer _CONSTANT_BUFFER_MEX = device.NewBuffer(sizeof(mexType) * LENGTH_CONST_MEX, mtlpp::ResourceOptions::StorageModeManaged);
mxcheckGPUErrors(((int)_CONSTANT_BUFFER_MEX));
#endif
//initilizing constant memory variables
InitSymbol(DT,mexType,G_FLOAT);
InitSymbol(N1,unsigned int,G_INT);
InitSymbol(N2,unsigned int,G_INT);
InitSymbol(N3,unsigned int,G_INT);
InitSymbol(Limit_I_low_PML,unsigned int,G_INT);
InitSymbol(Limit_J_low_PML,unsigned int,G_INT);
InitSymbol(Limit_K_low_PML,unsigned int,G_INT);
InitSymbol(Limit_I_up_PML,unsigned int,G_INT);
InitSymbol(Limit_J_up_PML,unsigned int,G_INT);
InitSymbol(Limit_K_up_PML,unsigned int,G_INT);
InitSymbol(SizeCorrI,unsigned int,G_INT);
InitSymbol(SizeCorrJ,unsigned int,G_INT);
InitSymbol(SizeCorrK,unsigned int,G_INT);
InitSymbol(PML_Thickness,unsigned int,G_INT);
InitSymbol(NumberSources,unsigned int,G_INT);
InitSymbol(LengthSource,unsigned int,G_INT);
InitSymbol(ZoneCount,unsigned int,G_INT);
InitSymbol(SizePMLxp1,unsigned int,G_INT);
InitSymbol(SizePMLyp1,unsigned int,G_INT);
InitSymbol(SizePMLzp1,unsigned int,G_INT);
InitSymbol(SizePML,unsigned int,G_INT);
InitSymbol(SizePMLxp1yp1zp1,unsigned int,G_INT);
InitSymbol(NumberSensors,unsigned int,G_INT);
InitSymbol(TimeSteps,unsigned int,G_INT);
InitSymbol(SelRMSorPeak,unsigned int,G_INT);
InitSymbol(SelMapsRMSPeak,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_ALLV,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Vx,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Vy,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Vz,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Sigmaxx,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Sigmayy,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Sigmazz,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Sigmaxy,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Sigmaxz,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Sigmayz,unsigned int,G_INT);
InitSymbol(IndexRMSPeak_Pressure,unsigned int,G_INT);
InitSymbol(NumberSelRMSPeakMaps,unsigned int,G_INT);
InitSymbol(SelMapsSensors,unsigned int,G_INT);
InitSymbol(IndexSensor_ALLV,unsigned int,G_INT);
InitSymbol(IndexSensor_Vx,unsigned int,G_INT);
InitSymbol(IndexSensor_Vy,unsigned int,G_INT);
InitSymbol(IndexSensor_Vz,unsigned int,G_INT);
InitSymbol(IndexSensor_Sigmaxx,unsigned int,G_INT);
InitSymbol(IndexSensor_Sigmayy,unsigned int,G_INT);
InitSymbol(IndexSensor_Sigmazz,unsigned int,G_INT);
InitSymbol(IndexSensor_Sigmaxy,unsigned int,G_INT);
InitSymbol(IndexSensor_Sigmaxz,unsigned int,G_INT);
InitSymbol(IndexSensor_Sigmayz,unsigned int,G_INT);
InitSymbol(IndexSensor_Pressure,unsigned int,G_INT);
InitSymbol(NumberSelSensorMaps,unsigned int,G_INT);
InitSymbol(SensorSubSampling,unsigned int,G_INT);
InitSymbol(SensorStart,unsigned int,G_INT);
//~
#ifdef CUDA //CUDA specifics
mxcheckGPUErrors(cudaMemcpyToSymbol(gpuInvDXDTpluspr,InvDXDTplus_pr,(INHOST(PML_Thickness)+1)*sizeof(mexType)));
mxcheckGPUErrors(cudaMemcpyToSymbol(gpuDXDTminuspr,DXDTminus_pr,(INHOST(PML_Thickness)+1)*sizeof(mexType)));
mxcheckGPUErrors(cudaMemcpyToSymbol(gpuInvDXDTplushppr,InvDXDTplushp_pr,(INHOST(PML_Thickness)+1)*sizeof(mexType)));
mxcheckGPUErrors(cudaMemcpyToSymbol(gpuDXDTminushppr,DXDTminushp_pr,(INHOST(PML_Thickness)+1)*sizeof(mexType)));
#endif
#if defined(OPENCL) || defined(METAL)
InitSymbolArray(InvDXDTplus,G_FLOAT,INHOST(PML_Thickness)+1);
InitSymbolArray(DXDTminus,G_FLOAT,INHOST(PML_Thickness)+1);
InitSymbolArray(InvDXDTplushp,G_FLOAT,INHOST(PML_Thickness)+1);
InitSymbolArray(DXDTminushp,G_FLOAT,INHOST(PML_Thickness)+1);
#endif
#ifdef OPENCL
//PRINTF("%s",BUFFER_FOR_GPU_CODE);
// size_t szKernelLength = strlen(BUFFER_FOR_GPU_CODE);
// program = clCreateProgramWithSource(context, 1, (const char **) & BUFFER_FOR_GPU_CODE, &szKernelLength, &err);
// mxcheckGPUErrors(err);
char scmd [800];
snprintf(scmd,800,"\"%s\" --device %i",PI_OCL_PATH_pr,SelDevice);
PRINTF("compiling kernel with \"%s\"\n",scmd)
if (system(scmd)!=0)
{
ERROR_STRING("Error when trying to compile program");
}
char * binary;
size_t binary_size;
long l_szie;
cl_int binary_status;
binary = common_read_file("KERNEL.BIN", &l_szie);
binary_size=l_szie;
program = clCreateProgramWithBinary(
context, 1, &device_id[SelDevice], &binary_size,
(const unsigned char **)&binary, &binary_status, &err
);
mxcheckGPUErrors(err);
free(binary);
PRINTF("After clCreateProgramWithSource\n");
// Build the program
err = clBuildProgram(program, 1, &device_id[SelDevice], NULL, NULL, NULL);
if (err != CL_SUCCESS)
{
size_t len;
char buffer[200048];
PRINTF("Error: Failed to build program executable!\n%s\n", opencl_err_code(err));
clGetProgramBuildInfo(program, device_id[SelDevice], CL_PROGRAM_BUILD_LOG, sizeof(buffer), buffer, &len);
PRINTF("%s\n", buffer);
ERROR_STRING("Unable to build program");
}
// Create the compute kernel from the program
StressKernel = clCreateKernel(program, "StressKernel", &err);
mxcheckGPUErrors(err);
ParticleKernel = clCreateKernel(program, "ParticleKernel", &err);
mxcheckGPUErrors(err);
SnapShot = clCreateKernel(program, "SnapShot", &err);
mxcheckGPUErrors(err);
SensorsKernel = clCreateKernel(program, "SensorsKernel", &err);
mxcheckGPUErrors(err);
#endif
//Only used these for the PML
_PT SizeCopy;
ownGpuCalloc(V_x_x,mexType,INHOST(SizePMLxp1));
ownGpuCalloc(V_y_x,mexType,INHOST(SizePMLxp1));
ownGpuCalloc(V_z_x,mexType,INHOST(SizePMLxp1));
ownGpuCalloc(V_x_y,mexType,INHOST(SizePMLyp1));
ownGpuCalloc(V_y_y,mexType,INHOST(SizePMLyp1));
ownGpuCalloc(V_z_y,mexType,INHOST(SizePMLyp1));
ownGpuCalloc(V_x_z,mexType,INHOST(SizePMLzp1));
ownGpuCalloc(V_y_z,mexType,INHOST(SizePMLzp1));
ownGpuCalloc(V_z_z,mexType,INHOST(SizePMLzp1));
ownGpuCalloc(Sigma_x_xx,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_y_xx,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_z_xx,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_x_yy,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_y_yy,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_z_yy,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_x_zz,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_y_zz,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_z_zz,mexType,INHOST(SizePML));
ownGpuCalloc(Sigma_x_xy,mexType,INHOST(SizePMLxp1yp1zp1));
ownGpuCalloc(Sigma_y_xy,mexType,INHOST(SizePMLxp1yp1zp1));
ownGpuCalloc(Sigma_x_xz,mexType,INHOST(SizePMLxp1yp1zp1));
ownGpuCalloc(Sigma_z_xz,mexType,INHOST(SizePMLxp1yp1zp1));
ownGpuCalloc(Sigma_y_yz,mexType,INHOST(SizePMLxp1yp1zp1));
ownGpuCalloc(Sigma_z_yz,mexType,INHOST(SizePMLxp1yp1zp1));
SizeCopy = GET_NUMBER_ELEMS(Sigma_xx_res);
ownGpuCalloc(Rxx,mexType,SizeCopy);
ownGpuCalloc(Ryy,mexType,SizeCopy);
ownGpuCalloc(Rzz,mexType,SizeCopy);
SizeCopy = GET_NUMBER_ELEMS(Sigma_xy_res);
ownGpuCalloc(Rxy,mexType,SizeCopy);
ownGpuCalloc(Rxz,mexType,SizeCopy);
ownGpuCalloc(Ryz,mexType,SizeCopy);
//These come from the user input
CreateAndCopyFromMXVarOnGPU(LambdaMiuMatOverH,mexType);
CreateAndCopyFromMXVarOnGPU(LambdaMatOverH ,mexType);
CreateAndCopyFromMXVarOnGPU(MiuMatOverH,mexType);
CreateAndCopyFromMXVarOnGPU(TauLong,mexType);
CreateAndCopyFromMXVarOnGPU(OneOverTauSigma ,mexType);
CreateAndCopyFromMXVarOnGPU(TauShear,mexType);
CreateAndCopyFromMXVarOnGPU(InvRhoMatH ,mexType);
CreateAndCopyFromMXVarOnGPU(Ox ,mexType);
CreateAndCopyFromMXVarOnGPU(Oy ,mexType);
CreateAndCopyFromMXVarOnGPU(Oz ,mexType);
CreateAndCopyFromMXVarOnGPU(SourceFunctions ,mexType);
CreateAndCopyFromMXVarOnGPU(IndexSensorMap ,unsigned int);
CreateAndCopyFromMXVarOnGPU(SourceMap ,unsigned int);
CreateAndCopyFromMXVarOnGPU(MaterialMap ,unsigned int);
ownGpuCalloc(Vx,mexType,GET_NUMBER_ELEMS(Vx_res));
ownGpuCalloc(Vy,mexType,GET_NUMBER_ELEMS(Vy_res));
ownGpuCalloc(Vz,mexType,GET_NUMBER_ELEMS(Vz_res));
ownGpuCalloc(Sigma_xx,mexType,GET_NUMBER_ELEMS(Sigma_xx_res));
ownGpuCalloc(Sigma_yy,mexType,GET_NUMBER_ELEMS(Sigma_yy_res));
ownGpuCalloc(Sigma_zz,mexType,GET_NUMBER_ELEMS(Sigma_zz_res));
ownGpuCalloc(Sigma_xy,mexType,GET_NUMBER_ELEMS(Sigma_xy_res));
ownGpuCalloc(Sigma_xz,mexType,GET_NUMBER_ELEMS(Sigma_xz_res));
ownGpuCalloc(Sigma_yz,mexType,GET_NUMBER_ELEMS(Sigma_yz_res));
ownGpuCalloc(Pressure,mexType,GET_NUMBER_ELEMS(Pressure_res));
#ifdef CUDA
mexType * gpu_Snapshots_pr=NULL;
InputDataKernel pHost;
#endif
#ifdef OPENCL
cl_mem gpu_Snapshots_pr;
#endif
#ifdef METAL
mtlpp::Buffer gpu_Snapshots_pr;
#endif
CreateAndCopyFromMXVarOnGPU2(Snapshots,mexType);
CreateAndCopyFromMXVarOnGPU(SensorOutput,mexType);
CreateAndCopyFromMXVarOnGPU(SqrAcc,mexType);
#ifdef METAL
mtlpp::Buffer _MEX_BUFFER[12];
for (_PT ii=0;ii<12;ii++)
{
PRINTF("Allocating Buffer %i with %lu float entries\n",ii,_c_mex_type[ii]);
_MEX_BUFFER[ii]= device.NewBuffer(sizeof(mexType) *_c_mex_type[ii],
mtlpp::ResourceOptions::StorageModeManaged);
mxcheckGPUErrors(((int)_MEX_BUFFER[ii]));
if (_MEX_BUFFER[ii].GetLength() != sizeof(mexType) *_c_mex_type[ii])
{
PRINTF("ERROR, size of buffer is not what is expected %lu, %lu\n",_MEX_BUFFER[ii].GetLength(),sizeof(mexType) *_c_mex_type[ii]);
}
}
mtlpp::Buffer _UINT_BUFFER = device.NewBuffer(sizeof(unsigned int) *_c_uint_type,
mtlpp::ResourceOptions::StorageModeManaged);
mxcheckGPUErrors(((int)_UINT_BUFFER));
mtlpp::Buffer _INDEX_MEX = device.NewBuffer(sizeof(unsigned int) *
LENGTH_INDEX_MEX*2,
mtlpp::ResourceOptions::StorageModeManaged);
mxcheckGPUErrors(((int)_INDEX_MEX));
mtlpp::Buffer _INDEX_UINT = device.NewBuffer(sizeof(unsigned int) *
LENGTH_INDEX_UINT*2,
mtlpp::ResourceOptions::StorageModeManaged);
mxcheckGPUErrors(((int)_INDEX_UINT));
{
unsigned int * inData = static_cast<unsigned int *>(_INDEX_MEX.GetContents());
for (uint32_t j=0; j<LENGTH_INDEX_MEX; j++)
{
inData[j*2] = (unsigned int) (0xFFFFFFFF & HOST_INDEX_MEX[j][0]);
inData[j*2+1] = (unsigned int) (HOST_INDEX_MEX[j][0]>>32);
}
_INDEX_MEX.DidModify(ns::Range(0, sizeof(unsigned int) * LENGTH_INDEX_MEX*2));
}
{
unsigned int * inData = static_cast< unsigned int *>(_INDEX_UINT.GetContents());
for (uint32_t j=0; j<LENGTH_INDEX_UINT; j++)
{
inData[j*2] = (unsigned int) (0xFFFFFFFF & HOST_INDEX_UINT[j][0]);
inData[j*2+1] = (unsigned int) (HOST_INDEX_UINT[j][0]>>32);
}
_INDEX_UINT.DidModify(ns::Range(0, sizeof(unsigned int) * LENGTH_INDEX_UINT*2));
}
_CONSTANT_BUFFER_UINT.DidModify(ns::Range(0, sizeof(unsigned int)*LENGTH_CONST_UINT));
_CONSTANT_BUFFER_MEX.DidModify(ns::Range(0,sizeof(mexType) * LENGTH_CONST_MEX));
CompleteCopyToGpu(LambdaMiuMatOverH,mexType);
CompleteCopyToGpu(LambdaMatOverH ,mexType);
CompleteCopyToGpu(MiuMatOverH,mexType);
CompleteCopyToGpu(TauLong,mexType);
CompleteCopyToGpu(OneOverTauSigma ,mexType);
CompleteCopyToGpu(TauShear,mexType);
CompleteCopyToGpu(InvRhoMatH ,mexType);
CompleteCopyToGpu(Ox ,mexType);
CompleteCopyToGpu(Oy ,mexType);
CompleteCopyToGpu(Oz ,mexType);
CompleteCopyToGpu(SourceFunctions ,mexType);
CompleteCopyToGpu(IndexSensorMap ,unsigned int);
CompleteCopyToGpu(SourceMap ,unsigned int);
CompleteCopyToGpu(MaterialMap ,unsigned int);
_PT totalfloat=0;
for (_PT ii=0;ii<12;ii++)
{
_MEX_BUFFER[ii].DidModify(ns::Range(0,sizeof(mexType) *_c_mex_type[ii]));
totalfloat+=_c_mex_type[ii];
}
_UINT_BUFFER.DidModify(ns::Range(0,sizeof(unsigned int) *_c_uint_type));
PRINTF("Total float entries %lu and int entries %lu\n",totalfloat,_c_uint_type);
#endif
//putting Pointers in structure
InParamP(V_x_x);
InParamP(V_y_x);
InParamP(V_z_x);
InParamP(V_x_y);
InParamP(V_y_y);
InParamP(V_z_y);
InParamP(V_x_z);
InParamP(V_y_z);
InParamP(V_z_z);
InParamP(Sigma_x_xx);
InParamP(Sigma_y_xx);
InParamP(Sigma_z_xx);
InParamP(Sigma_x_yy);
InParamP(Sigma_y_yy);
InParamP(Sigma_z_yy);
InParamP(Sigma_x_zz);
InParamP(Sigma_y_zz);
InParamP(Sigma_z_zz);
InParamP(Sigma_x_xy);
InParamP(Sigma_y_xy);
InParamP(Sigma_x_xz);
InParamP(Sigma_z_xz);
InParamP(Sigma_y_yz);
InParamP(Sigma_z_yz);
InParamP(LambdaMiuMatOverH);
InParamP(LambdaMatOverH);
InParamP(MiuMatOverH);
InParamP(TauLong);
InParamP(OneOverTauSigma);
InParamP(TauShear);
InParamP(InvRhoMatH);
InParamP(SourceFunctions);
InParamP(SourceMap);
InParamP(MaterialMap);
InParamP(Vx);
InParamP(Vy);
InParamP(Vz);
InParamP(Rxx);
InParamP(Ryy);
InParamP(Rzz);
InParamP(Rxy);
InParamP(Rxz);
InParamP(Ryz);
InParamP(Sigma_xx);
InParamP(Sigma_yy);
InParamP(Sigma_zz);
InParamP(Sigma_xy);
InParamP(Sigma_xz);
InParamP(Sigma_yz);
InParamP(SqrAcc);
InParamP(Pressure);
#ifdef CUDA
InParamP(SensorOutput);
#endif
InParamP(Ox);
InParamP(Oy);
InParamP(Oz);
//unsigned int MaxIndex = INHOST(InternalIndexCount)> INHOST(EdgeIndexCount) ? INHOST(InternalIndexCount):INHOST(EdgeIndexCount);
#if defined(CUDA)
//copying the structure to GPU memory
InputDataKernel * pGPU;
mxcheckGPUErrors(cudaMalloc((void **)&pGPU,sizeof(InputDataKernel)));
NumberAlloc++;
PRINTF("size of InputDataKernel =%ld\n", sizeof(InputDataKernel));
mxcheckGPUErrors(cudaMemcpy(pGPU, &pHost, sizeof(InputDataKernel), cudaMemcpyHostToDevice));
struct cudaFuncAttributes funcAttrib;
checkCudaErrors(cudaFuncGetAttributes(&funcAttrib, StressKernel));
int blockSizeStress; // The launch configurator returned block size
int minGridSizeStress; // The minimum grid size needed to achieve the
int blockSizeParticle; // The launch configurator returned block size
int minGridSizeParticle; // The minimum grid size needed to achieve the
int blockSizeSnap; // The launch configurator returned block size
int minGridSizeSnap; // The minimum grid size needed to achieve the
int blockSizeSensor; // The launch configurator returned block size
int minGridSizeSensor; // The minimum grid size needed to achieve the
// maximum occupancy for a full device launch
//Calculate the block dimensions
dim3 dimBlockStress;
dim3 dimGridStress;
dim3 dimBlockParticle;
dim3 dimGridParticle;
dim3 dimBlockSnap;
dim3 dimGridSnap;
dim3 dimBlockSensors;
dim3 dimGridSensors;
cudaOccupancyMaxPotentialBlockSize( &minGridSizeStress, &blockSizeStress,
StressKernel, 0, 0);
PRINTF("minGridSize and Blocksize from API for stress = %i and %i\n",minGridSizeStress,blockSizeStress);
dimBlockStress.x=8;
dimBlockStress.y=8;
dimBlockStress.z=(unsigned int)floor(blockSizeStress/(dimBlockStress.y*dimBlockStress.x));
dimGridStress.x = (unsigned int)ceil((float)(INHOST(N1)+1) / dimBlockStress.x);
dimGridStress.y = (unsigned int)ceil((float)(INHOST(N2)+1) / dimBlockStress.y);
dimGridStress.z = (unsigned int)ceil((float)(INHOST(N3)+1) / dimBlockStress.z);
PRINTF(" Stress block size to %dx%dx%d\n", dimBlockStress.x, dimBlockStress.y,dimBlockStress.z);
PRINTF(" Stress grid size to %dx%dx%d\n", dimGridStress.x, dimGridStress.y,dimGridStress.z);
cudaOccupancyMaxPotentialBlockSize( &minGridSizeParticle, &blockSizeParticle,
ParticleKernel, 0, 0);
PRINTF("minGridSize and Blocksize from API for Particle = %i and %i\n",minGridSizeParticle,blockSizeParticle);
dimBlockParticle.x=8;
dimBlockParticle.y=8;
dimBlockParticle.z=(unsigned int)floor(blockSizeParticle/(dimBlockParticle.y*dimBlockParticle.x));
dimGridParticle.x = (unsigned int)ceil((float)(INHOST(N1)+1) / dimBlockParticle.x);
dimGridParticle.y = (unsigned int)ceil((float)(INHOST(N2)+1) / dimBlockParticle.y);
dimGridParticle.z = (unsigned int)ceil((float)(INHOST(N3)+1) / dimBlockParticle.z);
PRINTF(" Particle block size to %dx%dx%d\n", dimBlockParticle.x, dimBlockParticle.y,dimBlockParticle.z);
PRINTF(" Particle grid size to %dx%dx%d\n", dimGridParticle.x, dimGridParticle.y,dimGridParticle.z);
cudaOccupancyMaxPotentialBlockSize( &minGridSizeSnap, &blockSizeSnap,
SnapShot, 0, 0);
PRINTF("N1:minGridSize and Blocksize from API for SnapShot = %i and %i\n",minGridSizeSnap,blockSizeSnap);
dimBlockSnap.x=8;
dimBlockSnap.y=(unsigned int)floor(blockSizeSnap/(dimBlockSnap.x));
dimGridSnap.x = (unsigned int)ceil((float)(INHOST(N1)+1) / dimBlockSnap.x);
dimGridSnap.y = (unsigned int)ceil((float)(INHOST(N2)+1) / dimBlockSnap.y);
PRINTF(" Snapshot block size to %dx%d\n", dimBlockSnap.x, dimBlockSnap.y);
PRINTF(" Snapshot grid size to %dx%d\n", dimGridSnap.x, dimGridSnap.y);
cudaOccupancyMaxPotentialBlockSize( &minGridSizeSensor, &blockSizeSensor,
SensorsKernel, 0, 0);
PRINTF("minGridSize and Blocksize from API for SensorsKernel = %i and %i\n",minGridSizeSensor,blockSizeSensor);
dimBlockSensors.x=blockSizeSensor;
dimBlockSensors.y=1;
dimGridSensors.x = (unsigned int)ceil((float)(INHOST(NumberSensors)) / dimBlockSensors.x);
dimGridSensors.y=1;
PRINTF(" set sensor block size to %dx%d\n", dimBlockSensors.x, dimBlockSensors.y);
PRINTF(" set sensor grid size to %dx%d\n", dimGridSensors.x, dimGridSensors.y);
size_t free_byte ;
size_t total_byte ;
mxcheckGPUErrors(cudaMemGetInfo( &free_byte, &total_byte ));
double free_db = (double)free_byte ;
double total_db = (double)total_byte ;
double used_db = total_db - free_db ;
PRINTF("GPU memory usage: used = %f, free = %f MB, total = %f MB\n",used_db/1024.0/1024.0, free_db/1024.0/1024.0, total_db/1024.0/1024.0);
#define TOTAL_streams 1
cudaStream_t streams[TOTAL_streams];
for (unsigned n =0;n<TOTAL_streams;n++)
mxcheckGPUErrors(cudaStreamCreate ( &streams[n])) ;
#endif
#ifdef OPENCL
const size_t global_stress_particle[3] ={N1,N2,N3};
const size_t global_stress_local[3] ={4,4,4};
const size_t global_sensors[1] ={INHOST(NumberSensors)};
if (NumberSnapshots>0)
{
mxcheckGPUErrors(clSetKernelArg(SnapShot, 1, sizeof(cl_mem), &gpu_Snapshots_pr));
mxcheckGPUErrors(clSetKernelArg(SnapShot, 2, sizeof(cl_mem), &gpu_Sigma_xx_pr));
mxcheckGPUErrors(clSetKernelArg(SnapShot, 3, sizeof(cl_mem), &gpu_Sigma_yy_pr));
mxcheckGPUErrors(clSetKernelArg(SnapShot, 4, sizeof(cl_mem), &gpu_Sigma_zz_pr));
}
mxcheckGPUErrors(clSetKernelArg(SensorsKernel, 54, sizeof(cl_mem), &gpu_SensorOutput_pr));
mxcheckGPUErrors(clSetKernelArg(SensorsKernel, 55, sizeof(cl_mem), &gpu_IndexSensorMap_pr));
#endif
LOCAL_CALLOC(Vx,GET_NUMBER_ELEMS(Vx_res));
LOCAL_CALLOC(Vy,GET_NUMBER_ELEMS(Vy_res));
LOCAL_CALLOC(Vz,GET_NUMBER_ELEMS(Vz_res));
LOCAL_CALLOC(Sigma_xx,GET_NUMBER_ELEMS(Sigma_xx_res));
LOCAL_CALLOC(Sigma_yy,GET_NUMBER_ELEMS(Sigma_yy_res));
LOCAL_CALLOC(Sigma_zz,GET_NUMBER_ELEMS(Sigma_zz_res));
LOCAL_CALLOC(Sigma_xy,GET_NUMBER_ELEMS(Sigma_xy_res));
LOCAL_CALLOC(Sigma_xz,GET_NUMBER_ELEMS(Sigma_xz_res));
LOCAL_CALLOC(Sigma_yz,GET_NUMBER_ELEMS(Sigma_yz_res));
LOCAL_CALLOC(Pressure,GET_NUMBER_ELEMS(Pressure_res));
unsigned int INHOST(nStep)=0;
unsigned int SensorEntry=0;
while(INHOST(nStep)<INHOST(TimeSteps))
{
// if (INHOST(nStep)%100==0)
// PRINTF("nStep %i of %i\n",INHOST(nStep),INHOST(TimeSteps));
#if defined(CUDA)
unsigned int nCurStream=0;
unsigned int maxStream=TOTAL_streams;
if ((INHOST(TimeSteps)-INHOST(nStep))<maxStream)
maxStream=INHOST(TimeSteps)-INHOST(nStep);
while((INHOST(nStep)<INHOST(TimeSteps))&&(nCurStream<TOTAL_streams))
{
StressKernel<<<dimGridStress, dimBlockStress,0,streams[nCurStream]>>>(pGPU,INHOST(nStep),INHOST(TypeSource));
// We let for future reference in case we want to offload the sensor task via memory transfer
// if (((INHOST(nStep) % INHOST(SensorSubSampling))==0) && ((INHOST(nStep) / INHOST(SensorSubSampling))>=INHOST(SensorStart)))
// {
// //We copy pressure to start accumulating over time
// CopyFromGPUToMXAsync(Pressure,mexType,streams[nCurStream]);
// }
//~ //********************************
//********************************
//Then we do the particle displacements
//********************************
ParticleKernel<<<dimGridParticle, dimBlockParticle,0,streams[nCurStream]>>>(pGPU,INHOST(nStep),INHOST(TypeSource));
#endif
#ifdef OPENCL
int nextSnap=-1;
if (NumberSnapshots>0)
nextSnap=SnapshotsPos_pr[INHOST(CurrSnap)]-1;
mxcheckGPUErrors(clSetKernelArg(StressKernel, 54, sizeof(unsigned int), &INHOST(nStep)));
mxcheckGPUErrors(clSetKernelArg(StressKernel, 55, sizeof(unsigned int), &INHOST(TypeSource)));
mxcheckGPUErrors(clSetKernelArg(ParticleKernel, 54, sizeof(unsigned int), &INHOST(nStep)));
mxcheckGPUErrors(clSetKernelArg(ParticleKernel, 55, sizeof(unsigned int), &INHOST(TypeSource)));
mxcheckGPUErrors(clEnqueueNDRangeKernel(commands, StressKernel, 3, NULL, global_stress_particle, NULL, 0, NULL, NULL));
mxcheckGPUErrors(clFinish(commands));
mxcheckGPUErrors(clEnqueueNDRangeKernel(commands, ParticleKernel, 3, NULL, global_stress_particle, NULL, 0, NULL, NULL));
mxcheckGPUErrors(clFinish(commands));
#endif
#ifdef METAL
InitSymbol(nStep,unsigned int,G_INT);
InitSymbol(TypeSource,unsigned int,G_INT);
InitSymbol(SelK,unsigned int,G_INT);
mtlpp::CommandBuffer commandBufferStress = commandQueue.CommandBuffer();
mxcheckGPUErrors(((int)commandBufferStress));
mtlpp::ComputeCommandEncoder commandEncoderStress = commandBufferStress.ComputeCommandEncoder();
commandEncoderStress.SetBuffer(_CONSTANT_BUFFER_UINT, 0, 0);
commandEncoderStress.SetBuffer(_CONSTANT_BUFFER_MEX, 0, 1);
commandEncoderStress.SetBuffer(_INDEX_MEX, 0, 2);
commandEncoderStress.SetBuffer(_INDEX_UINT, 0, 3);
commandEncoderStress.SetBuffer(_UINT_BUFFER, 0, 4);
for (_PT ii=0;ii<12;ii++)
commandEncoderStress.SetBuffer(_MEX_BUFFER[ii], 0, 5+ii);
commandEncoderStress.SetComputePipelineState(computePipelineStateStress);
commandEncoderStress.DispatchThreadgroups(
mtlpp::Size(
(unsigned int)ceil((float)(INHOST(N1)+1) / 4),
(unsigned int)ceil((float)(INHOST(N2)+1) / 4),
(unsigned int)ceil((float)(INHOST(N3)+1) / 4)),
mtlpp::Size(4, 4, 4));
commandEncoderStress.EndEncoding();
mtlpp::BlitCommandEncoder blitCommandEncoderStress = commandBufferStress.BlitCommandEncoder();
blitCommandEncoderStress.EndEncoding();
commandBufferStress.Commit();
commandBufferStress.WaitUntilCompleted();
mtlpp::CommandBuffer commandBufferParticle = commandQueue.CommandBuffer();
mxcheckGPUErrors(((int)commandBufferParticle));
mtlpp::ComputeCommandEncoder commandEncoderParticle = commandBufferParticle.ComputeCommandEncoder();
commandEncoderParticle.SetBuffer(_CONSTANT_BUFFER_UINT, 0, 0);
commandEncoderParticle.SetBuffer(_CONSTANT_BUFFER_MEX, 0, 1);
commandEncoderParticle.SetBuffer(_INDEX_MEX, 0, 2);
commandEncoderParticle.SetBuffer(_INDEX_UINT, 0, 3);
commandEncoderParticle.SetBuffer(_UINT_BUFFER, 0, 4);
for (_PT ii=0;ii<12;ii++)
commandEncoderParticle.SetBuffer(_MEX_BUFFER[ii], 0, 5+ii);
commandEncoderParticle.SetComputePipelineState(computePipelineStateParticle);
commandEncoderParticle.DispatchThreadgroups(
mtlpp::Size(
(unsigned int)ceil((float)(INHOST(N1)+1) / 4),
(unsigned int)ceil((float)(INHOST(N2)+1) / 4),
(unsigned int)ceil((float)(INHOST(N3)+1) / 4)),
mtlpp::Size(4, 4, 4));
commandEncoderParticle.EndEncoding();
mtlpp::BlitCommandEncoder blitCommandEncoderParticle = commandBufferParticle.BlitCommandEncoder();
blitCommandEncoderParticle.EndEncoding();
commandBufferParticle.Commit();
commandBufferParticle.WaitUntilCompleted();
#endif
// Snapshots
if (INHOST(CurrSnap) <NumberSnapshots)
if(INHOST(nStep)==SnapshotsPos_pr[INHOST(CurrSnap)]-1)
{
#if defined(CUDA)
SnapShot<<<dimGridSnap,dimBlockSnap,0,streams[nCurStream]>>>(INHOST(SelK),gpu_Snapshots_pr,gpu_Sigma_xx_pr,gpu_Sigma_yy_pr,gpu_Sigma_zz_pr,INHOST(CurrSnap));
#endif
#if defined(OPENCL)
int selfSlice=INHOST(SelK);
mxcheckGPUErrors(clSetKernelArg(SnapShot, 0, sizeof(unsigned int), &selfSlice));
mxcheckGPUErrors(clSetKernelArg(SnapShot, 5, sizeof(unsigned int), &INHOST(CurrSnap)));
mxcheckGPUErrors(clEnqueueNDRangeKernel(commands, SnapShot, 2, NULL, global_stress_particle, NULL, 0, NULL, NULL));
mxcheckGPUErrors(clFinish(commands));
#endif
#if defined(METAL)
InitSymbol(CurrSnap,unsigned int,G_INT);
mtlpp::CommandBuffer commandBufferSnapShot = commandQueue.CommandBuffer();
mxcheckGPUErrors(((int)commandBufferSnapShot));
mtlpp::ComputeCommandEncoder commandEncoderSnapShot = commandBufferSnapShot.ComputeCommandEncoder();
commandEncoderSnapShot.SetBuffer(_CONSTANT_BUFFER_UINT, 0, 0);
commandEncoderSnapShot.SetBuffer(_CONSTANT_BUFFER_MEX, 0, 1);
commandEncoderSnapShot.SetBuffer(_INDEX_MEX, 0, 2);
commandEncoderSnapShot.SetBuffer(_INDEX_UINT, 0, 3);
commandEncoderSnapShot.SetBuffer(_UINT_BUFFER, 0, 4);
for (_PT ii=0;ii<12;ii++)
commandEncoderSnapShot.SetBuffer(_MEX_BUFFER[ii], 0, 5+ii);
commandEncoderSnapShot.SetBuffer(gpu_Snapshots_pr, 0, 17);
commandEncoderSnapShot.SetComputePipelineState(computePipelineStateSnapShot);
commandEncoderSnapShot.DispatchThreadgroups(
mtlpp::Size(
(unsigned int)ceil((float)(INHOST(N1)+1) / 8),
(unsigned int)ceil((float)(INHOST(N2)+1) / 8),
1),
mtlpp::Size(8, 8,1));
commandEncoderSnapShot.EndEncoding();
mtlpp::BlitCommandEncoder blitCommandEncoderSnapShot = commandBufferSnapShot.BlitCommandEncoder();
blitCommandEncoderSnapShot.EndEncoding();
commandBufferSnapShot.Commit();
commandBufferSnapShot.WaitUntilCompleted();
#endif
INHOST(CurrSnap)++;
}
//~ //Finally, the sensors
if (((((_PT)INHOST(nStep)) % ((_PT)INHOST(SensorSubSampling)))==0) &&
((((_PT)INHOST(nStep)) / ((_PT)INHOST(SensorSubSampling)))>=((_PT)INHOST(SensorStart))) &&
(SensorEntry < MaxSensorSteps))
{
SensorEntry++;
#if defined(CUDA)
SensorsKernel<<<dimGridSensors,dimBlockSensors,0,streams[nCurStream]>>>(pGPU,gpu_IndexSensorMap_pr,INHOST(nStep));
#endif
#if defined(OPENCL)
mxcheckGPUErrors(clSetKernelArg(SensorsKernel, 56, sizeof(unsigned int), &INHOST(nStep)));
mxcheckGPUErrors(clEnqueueNDRangeKernel(commands, SensorsKernel, 1, NULL, global_sensors, NULL, 0, NULL, NULL));
mxcheckGPUErrors(clFinish(commands));
#endif
#if defined(METAL)
mtlpp::CommandBuffer commandBufferSensors = commandQueue.CommandBuffer();
mxcheckGPUErrors(((int)commandBufferSensors));
mtlpp::ComputeCommandEncoder commandEncoderSensors = commandBufferSensors.ComputeCommandEncoder();
commandEncoderSensors.SetBuffer(_CONSTANT_BUFFER_UINT, 0, 0);
commandEncoderSensors.SetBuffer(_CONSTANT_BUFFER_MEX, 0, 1);
commandEncoderSensors.SetBuffer(_INDEX_MEX, 0, 2);
commandEncoderSensors.SetBuffer(_INDEX_UINT, 0, 3);
commandEncoderSensors.SetBuffer(_UINT_BUFFER, 0, 4);
for (_PT ii=0;ii<12;ii++)
commandEncoderSensors.SetBuffer(_MEX_BUFFER[ii], 0, 5+ii);
commandEncoderSensors.SetComputePipelineState(computePipelineStateSensors);
commandEncoderSensors.DispatchThreadgroups(
mtlpp::Size(
(unsigned int)ceil((float)(INHOST(NumberSensors)) / 32),
1,
1),
mtlpp::Size(32, 1, 1));
commandEncoderSensors.EndEncoding();
commandBufferSensors.Commit();
commandBufferSensors.WaitUntilCompleted();
#endif
}
INHOST(nStep)++;
#if defined(CUDA)
nCurStream++;
} //this one closes the bracket for the streams
for(unsigned int nSyncStream=0;nSyncStream<nCurStream;nSyncStream++)
cudaStreamSynchronize(streams[nSyncStream]);
#endif
}
#if defined(METAL)
//#we just synchronize before transferring data back to CPU
mtlpp::CommandBuffer commandBufferSync = commandQueue.CommandBuffer();
mxcheckGPUErrors(((int)commandBufferSync));
mtlpp::BlitCommandEncoder blitCommandEncoderSync = commandBufferSync.BlitCommandEncoder();
for (_PT ii=0;ii<12;ii++)
blitCommandEncoderSync.Synchronize(_MEX_BUFFER[ii]);
blitCommandEncoderSync.EndEncoding();
commandBufferSync.Commit();
commandBufferSync.WaitUntilCompleted();
#endif
//DONE, just to copy to the host the results
#if defined(CUDA) || defined(OPENCL)
CopyFromGPUToMX3(SensorOutput,mexType);
CopyFromGPUToMX3(SqrAcc,mexType);
#else
CopyFromGPUToMX4(SensorOutput,mexType);
CopyFromGPUToMX4(SqrAcc,mexType);
#endif
CopyFromGPUToMX(Vx,mexType);
CopyFromGPUToMX(Vy,mexType);
CopyFromGPUToMX(Vz,mexType);
CopyFromGPUToMX(Sigma_xx,mexType);
CopyFromGPUToMX(Sigma_yy,mexType);
CopyFromGPUToMX(Sigma_xy,mexType);
CopyFromGPUToMX(Sigma_xz,mexType);
CopyFromGPUToMX(Sigma_yz,mexType);
CopyFromGPUToMX(Pressure,mexType);
{
_PT i,j,k,CurZone;
#pragma omp parallel for private(j,i,CurZone)
for(k=0; k<((_PT)INHOST(N3)); k++)
for(j=0; j<((_PT)INHOST(N2)); j++)
for(i=0; i<((_PT)INHOST(N1)); i++)
{
ASSIGN_RES(Vx);
ASSIGN_RES(Vy);
ASSIGN_RES(Vz);
ASSIGN_RES(Sigma_xx);
ASSIGN_RES(Sigma_yy);
ASSIGN_RES(Sigma_zz);
ASSIGN_RES(Sigma_xy);
ASSIGN_RES(Sigma_xz);
ASSIGN_RES(Sigma_yz);
ASSIGN_RES(Pressure);
}
}
#if defined(CUDA)
for (unsigned n =0;n<TOTAL_streams;n++)
mxcheckGPUErrors(cudaStreamDestroy ( streams[n])) ;
#endif
CopyFromGPUToMX3(Snapshots,mexType);
#if defined(CUDA)
mxcheckGPUErrors(cudaFree(pGPU)); NumberAlloc--;
free(sm13DeviceList);
#endif
free(Vx_pr);
free(Vy_pr);
free(Vz_pr);
free(Sigma_xx_pr);
free(Sigma_yy_pr);
free(Sigma_zz_pr);
free(Sigma_xy_pr);
free(Sigma_xz_pr);
free(Sigma_yz_pr);
free(Pressure_pr);
ownGPUFree(SensorOutput);
ownGPUFree(V_x_x);
ownGPUFree(V_y_x);
ownGPUFree(V_z_x);
ownGPUFree(V_x_y);
ownGPUFree(V_y_y);
ownGPUFree(V_z_y);
ownGPUFree(V_x_z);
ownGPUFree(V_y_z);
ownGPUFree(V_z_z);
ownGPUFree(Sigma_x_xx);
ownGPUFree(Sigma_y_xx);
ownGPUFree(Sigma_z_xx);
ownGPUFree(Sigma_x_yy);
ownGPUFree(Sigma_y_yy);
ownGPUFree(Sigma_z_yy);
ownGPUFree(Sigma_x_zz);
ownGPUFree(Sigma_y_zz);
ownGPUFree(Sigma_z_zz);
ownGPUFree(Sigma_x_xy);
ownGPUFree(Sigma_y_xy);
ownGPUFree(Sigma_x_xz);
ownGPUFree(Sigma_z_xz);
ownGPUFree(Sigma_y_yz);
ownGPUFree(Sigma_z_yz);
ownGPUFree(LambdaMiuMatOverH);
ownGPUFree(LambdaMatOverH);
ownGPUFree(MiuMatOverH);
ownGPUFree(TauLong);
ownGPUFree(OneOverTauSigma);
ownGPUFree(TauShear);
ownGPUFree(InvRhoMatH);
ownGPUFree(IndexSensorMap);
ownGPUFree(SourceFunctions);
ownGPUFree(SourceMap);
ownGPUFree(Ox);
ownGPUFree(Oy);
ownGPUFree(Oz);
ownGPUFree(MaterialMap);
ownGPUFree(Vx);
ownGPUFree(Vy);
ownGPUFree(Vz);
ownGPUFree(Sigma_xx);
ownGPUFree(Sigma_yy);
ownGPUFree(Sigma_zz);
ownGPUFree(Sigma_xy);
ownGPUFree(Sigma_xz);
ownGPUFree(Sigma_yz);
ownGPUFree(Pressure);
ownGPUFree(Rxx);
ownGPUFree(Ryy);
ownGPUFree(Rzz);
ownGPUFree(Rxy);
ownGPUFree(Rxz);
ownGPUFree(Ryz);
ownGPUFree(Snapshots);
ownGPUFree(SqrAcc);
#if defined(CUDA)
mxcheckGPUErrors(cudaMemGetInfo( &free_byte, &total_byte ));
free_db = (double)free_byte ;
total_db = (double)total_byte ;
used_db = total_db - free_db ;
PRINTF("GPU memory remaining (free should be equal to total): used = %f, free = %f MB, total = %f MB\n",used_db/1024.0/1024.0, free_db/1024.0/1024.0, total_db/1024.0/1024.0);
#endif
#if defined(OPENCL)
clReleaseProgram(program);
clReleaseKernel(StressKernel);
clReleaseKernel(ParticleKernel);
clReleaseKernel(SensorsKernel);
clReleaseKernel(SnapShot);
clReleaseCommandQueue(commands);
clReleaseContext(context);
free(Platform);
#endif
PRINTF("Number of unfreed allocs (it should be 0):%i\n",NumberAlloc);
|
space_to_batch.h | // Copyright 2018 Xiaomi, Inc. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef MACE_KERNELS_SPACE_TO_BATCH_H_
#define MACE_KERNELS_SPACE_TO_BATCH_H_
#include <memory>
#include <vector>
#include <algorithm>
#include "mace/core/future.h"
#include "mace/core/tensor.h"
#include "mace/public/mace.h"
#ifdef MACE_ENABLE_OPENCL
#include "mace/core/runtime/opencl/cl2_header.h"
#endif // MACE_ENABLE_OPENCL
namespace mace {
namespace kernels {
struct SpaceToBatchFunctorBase {
SpaceToBatchFunctorBase(const std::vector<int> &paddings,
const std::vector<int> &block_shape,
bool b2s)
: paddings_(paddings.begin(), paddings.end()),
block_shape_(block_shape.begin(), block_shape.end()),
b2s_(b2s) {
MACE_CHECK(
block_shape.size() == 2 && block_shape[0] > 1 && block_shape[1] > 1,
"Block's shape should be 1D, and greater than 1");
MACE_CHECK(paddings.size() == 4, "Paddings' shape should be 2D");
}
std::vector<int> paddings_;
std::vector<int> block_shape_;
bool b2s_;
protected:
void CalculateSpaceToBatchOutputShape(const Tensor *input_tensor,
const DataFormat data_format,
index_t *output_shape) {
MACE_CHECK(input_tensor->dim_size() == 4, "Input's shape should be 4D");
index_t batch = input_tensor->dim(0);
index_t channels = 0;
index_t height = 0;
index_t width = 0;
if (data_format == DataFormat::NHWC) {
height = input_tensor->dim(1);
width = input_tensor->dim(2);
channels = input_tensor->dim(3);
} else if (data_format == DataFormat::NCHW) {
height = input_tensor->dim(2);
width = input_tensor->dim(3);
channels = input_tensor->dim(1);
} else {
MACE_NOT_IMPLEMENTED;
}
index_t padded_height = height + paddings_[0] + paddings_[1];
index_t padded_width = width + paddings_[2] + paddings_[3];
MACE_CHECK(padded_height % block_shape_[0] == 0, "padded input height",
padded_height, " is not divisible by block height");
MACE_CHECK(padded_width % block_shape_[1] == 0, "padded input width",
padded_height, " is not divisible by block width");
index_t new_batch = batch * block_shape_[0] * block_shape_[1];
index_t new_height = padded_height / block_shape_[0];
index_t new_width = padded_width / block_shape_[1];
if (data_format == DataFormat::NHWC) {
output_shape[0] = new_batch;
output_shape[1] = new_height;
output_shape[2] = new_width;
output_shape[3] = channels;
} else {
output_shape[0] = new_batch;
output_shape[1] = channels;
output_shape[2] = new_height;
output_shape[3] = new_width;
}
}
void CalculateBatchToSpaceOutputShape(const Tensor *input_tensor,
const DataFormat data_format,
index_t *output_shape) {
MACE_CHECK(input_tensor->dim_size() == 4, "Input's shape should be 4D");
index_t batch = input_tensor->dim(0);
index_t channels = 0;
index_t height = 0;
index_t width = 0;
if (data_format == DataFormat::NHWC) {
height = input_tensor->dim(1);
width = input_tensor->dim(2);
channels = input_tensor->dim(3);
} else if (data_format == DataFormat::NCHW) {
height = input_tensor->dim(2);
width = input_tensor->dim(3);
channels = input_tensor->dim(1);
} else {
MACE_NOT_IMPLEMENTED;
}
index_t new_batch = batch / block_shape_[0] / block_shape_[1];
index_t new_height = height * block_shape_[0] - paddings_[0] - paddings_[1];
index_t new_width = width * block_shape_[1] - paddings_[2] - paddings_[3];
if (data_format == DataFormat::NHWC) {
output_shape[0] = new_batch;
output_shape[1] = new_height;
output_shape[2] = new_width;
output_shape[3] = channels;
} else {
output_shape[0] = new_batch;
output_shape[1] = channels;
output_shape[2] = new_height;
output_shape[3] = new_width;
}
}
};
template<DeviceType D, typename T>
struct SpaceToBatchFunctor;
template<>
struct SpaceToBatchFunctor<DeviceType::CPU, float> : SpaceToBatchFunctorBase {
SpaceToBatchFunctor(const std::vector<int> &paddings,
const std::vector<int> &block_shape,
bool b2s)
: SpaceToBatchFunctorBase(paddings, block_shape, b2s) {}
MaceStatus operator()(Tensor *space_tensor,
Tensor *batch_tensor,
StatsFuture *future) {
MACE_UNUSED(future);
std::vector<index_t> output_shape(4, 0);
if (b2s_) {
CalculateBatchToSpaceOutputShape(batch_tensor,
DataFormat::NCHW,
output_shape.data());
MACE_RETURN_IF_ERROR(space_tensor->Resize(output_shape));
} else {
CalculateSpaceToBatchOutputShape(space_tensor,
DataFormat::NCHW,
output_shape.data());
MACE_RETURN_IF_ERROR(batch_tensor->Resize(output_shape));
}
Tensor::MappingGuard input_guard(space_tensor);
Tensor::MappingGuard output_guard(batch_tensor);
int pad_top = paddings_[0];
int pad_left = paddings_[2];
int block_shape_h = block_shape_[0];
int block_shape_w = block_shape_[1];
if (b2s_) {
const float *input_data = batch_tensor->data<float>();
float *output_data = space_tensor->mutable_data<float>();
index_t in_batches = batch_tensor->dim(0);
index_t in_height = batch_tensor->dim(2);
index_t in_width = batch_tensor->dim(3);
index_t out_batches = space_tensor->dim(0);
index_t channels = space_tensor->dim(1);
index_t out_height = space_tensor->dim(2);
index_t out_width = space_tensor->dim(3);
// 32k/sizeof(float)/out_width/block_shape
index_t
block_h_size =
std::max(static_cast<index_t>(1), 8 * 1024 / block_shape_w / out_width);
// make channel outter loop so we can make best use of cache
#pragma omp parallel for collapse(3)
for (index_t c = 0; c < channels; ++c) {
for (index_t block_h = 0; block_h < in_height;
block_h += block_h_size) {
for (index_t in_b = 0; in_b < in_batches; ++in_b) {
const index_t b = in_b % out_batches;
const index_t tile_index = in_b / out_batches;
const index_t tile_h = tile_index / block_shape_w;
const index_t tile_w = tile_index % block_shape_w;
const index_t valid_h_start = std::max(block_h,
(pad_top - tile_h
+ block_shape_h - 1)
/ block_shape_h);
const index_t valid_h_end = std::min(in_height,
std::min(
block_h + block_h_size,
(out_height + pad_top
- tile_h
+ block_shape_h - 1)
/ block_shape_h));
const index_t valid_w_start = std::max(static_cast<index_t>(0),
(pad_left - tile_w
+ block_shape_w - 1)
/ block_shape_w);
const index_t valid_w_end = std::min(in_width,
(out_width + pad_left - tile_w
+ block_shape_w - 1)
/ block_shape_w);
const float *input_base =
input_data + (in_b * channels + c) * in_height * in_width;
float *output_base =
output_data + (b * channels + c) * out_height * out_width;
index_t h = valid_h_start * block_shape_h + tile_h - pad_top;
for (index_t in_h = valid_h_start; in_h < valid_h_end; ++in_h) {
index_t w = valid_w_start * block_shape_w + tile_w - pad_left;
for (index_t in_w = valid_w_start; in_w < valid_w_end; ++in_w) {
output_base[h * out_width + w] =
input_base[in_h * in_width + in_w];
w += block_shape_w;
} // w
h += block_shape_h;
} // h
} // b
} // block_h
} // c
} else {
const float *input_data = space_tensor->data<float>();
float *output_data = batch_tensor->mutable_data<float>();
index_t in_batches = space_tensor->dim(0);
index_t in_height = space_tensor->dim(2);
index_t in_width = space_tensor->dim(3);
index_t out_batches = batch_tensor->dim(0);
index_t channels = batch_tensor->dim(1);
index_t out_height = batch_tensor->dim(2);
index_t out_width = batch_tensor->dim(3);
index_t block_h_size =
std::max(static_cast<index_t>(1), 8 * 1024 / block_shape_w / in_width);
// make channel outter loop so we can make best use of cache
#pragma omp parallel for collapse(3)
for (index_t c = 0; c < channels; ++c) {
for (index_t block_h = 0; block_h < out_height;
block_h += block_h_size) {
for (index_t b = 0; b < out_batches; ++b) {
const index_t in_b = b % in_batches;
const index_t tile_index = b / in_batches;
const index_t tile_h = tile_index / block_shape_w;
const index_t tile_w = tile_index % block_shape_w;
const index_t valid_h_start = std::max(block_h,
(pad_top - tile_h
+ block_shape_h - 1)
/ block_shape_h);
const index_t valid_h_end = std::min(out_height,
std::min(
block_h + block_h_size,
(in_height + pad_top
- tile_h
+ block_shape_h - 1)
/ block_shape_h));
const index_t valid_w_start = std::max(static_cast<index_t>(0),
(pad_left - tile_w
+ block_shape_w - 1)
/ block_shape_w);
const index_t valid_w_end = std::min(out_width,
(in_width + pad_left - tile_w
+ block_shape_w - 1)
/ block_shape_w);
const float *input_base =
input_data + (in_b * channels + c) * in_height * in_width;
float *output_base =
output_data + (b * channels + c) * out_height * out_width;
memset(output_base + block_h * out_width,
0,
(valid_h_start - block_h) * out_width * sizeof(float));
index_t in_h = valid_h_start * block_shape_h + tile_h - pad_top;
for (index_t h = valid_h_start; h < valid_h_end; ++h) {
memset(output_base + h * out_width,
0,
valid_w_start * sizeof(float));
index_t in_w = valid_w_start * block_shape_w + tile_w - pad_left;
for (index_t w = valid_w_start; w < valid_w_end; ++w) {
output_base[h * out_width + w] =
input_base[in_h * in_width + in_w];
in_w += block_shape_w;
} // w
in_h += block_shape_h;
memset(output_base + h * out_width + valid_w_end,
0,
(out_width - valid_w_end) * sizeof(float));
} // h
memset(output_base + valid_h_end * out_width,
0,
(std::min(out_height, block_h + block_h_size) - valid_h_end)
* out_width * sizeof(float));
} // b
} // block_h
} // c
}
return MACE_SUCCESS;
}
};
#ifdef MACE_ENABLE_OPENCL
template <typename T>
struct SpaceToBatchFunctor<DeviceType::GPU, T> : SpaceToBatchFunctorBase {
SpaceToBatchFunctor(const std::vector<int> &paddings,
const std::vector<int> &block_shape,
bool b2s)
: SpaceToBatchFunctorBase(paddings, block_shape, b2s) {}
MaceStatus operator()(Tensor *space_tensor,
Tensor *batch_tensor,
StatsFuture *future);
cl::Kernel kernel_;
uint32_t kwg_size_;
std::unique_ptr<BufferBase> kernel_error_;
std::vector<index_t> space_shape_;
};
#endif // MACE_ENABLE_OPENCL
} // namespace kernels
} // namespace mace
#endif // MACE_KERNELS_SPACE_TO_BATCH_H_
|
convolution_3x3_pack1to4.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void conv3x3s1_pack1to4_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* bias = _bias;
int nn_outch = 0;
int remain_outch_start = 0;
#if __ARM_NEON && __aarch64__
nn_outch = outch >> 1;
remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp=0; pp<nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p+1);
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + p * 4) : vdupq_n_f32(0.f);
float32x4_t _bias1 = bias ? vld1q_f32((const float*)bias + (p+1) * 4) : vdupq_n_f32(0.f);
out0.fill(_bias0);
out1.fill(_bias1);
const float* k0 = kernel.channel(p);
const float* k1 = kernel.channel(p+1);
for (int q=0; q<inch; q++)
{
float* outptr0 = out0;
float* outptr1 = out1;
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
float32x4_t _k00_0 = vld1q_f32(k0);
float32x4_t _k01_0 = vld1q_f32(k0+4);
float32x4_t _k02_0 = vld1q_f32(k0+8);
float32x4_t _k10_0 = vld1q_f32(k0+12);
float32x4_t _k11_0 = vld1q_f32(k0+16);
float32x4_t _k12_0 = vld1q_f32(k0+20);
float32x4_t _k20_0 = vld1q_f32(k0+24);
float32x4_t _k21_0 = vld1q_f32(k0+28);
float32x4_t _k22_0 = vld1q_f32(k0+32);
float32x4_t _k00_1 = vld1q_f32(k1);
float32x4_t _k01_1 = vld1q_f32(k1+4);
float32x4_t _k02_1 = vld1q_f32(k1+8);
float32x4_t _k10_1 = vld1q_f32(k1+12);
float32x4_t _k11_1 = vld1q_f32(k1+16);
float32x4_t _k12_1 = vld1q_f32(k1+20);
float32x4_t _k20_1 = vld1q_f32(k1+24);
float32x4_t _k21_1 = vld1q_f32(k1+28);
float32x4_t _k22_1 = vld1q_f32(k1+32);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j+3<outw; j+=4)
{
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%0] \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%1] \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v0.4s}, [%2], #16 \n"
"ld1 {v1.2s}, [%2] \n"
"fmla v24.4s, %10.4s, v0.s[0] \n"
"fmla v25.4s, %10.4s, v0.s[1] \n"
"fmla v26.4s, %10.4s, v0.s[2] \n"
"fmla v27.4s, %10.4s, v0.s[3] \n"
"fmla v28.4s, %19.4s, v0.s[0] \n"
"fmla v29.4s, %19.4s, v0.s[1] \n"
"fmla v30.4s, %19.4s, v0.s[2] \n"
"fmla v31.4s, %19.4s, v0.s[3] \n"
"fmla v24.4s, %11.4s, v0.s[1] \n"
"fmla v25.4s, %11.4s, v0.s[2] \n"
"fmla v26.4s, %11.4s, v0.s[3] \n"
"fmla v27.4s, %11.4s, v1.s[0] \n"
"fmla v28.4s, %20.4s, v0.s[1] \n"
"fmla v29.4s, %20.4s, v0.s[2] \n"
"fmla v30.4s, %20.4s, v0.s[3] \n"
"fmla v31.4s, %20.4s, v1.s[0] \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v2.4s}, [%3], #16 \n"
"ld1 {v3.2s}, [%3] \n"
"fmla v24.4s, %12.4s, v0.s[2] \n"
"fmla v25.4s, %12.4s, v0.s[3] \n"
"fmla v26.4s, %12.4s, v1.s[0] \n"
"fmla v27.4s, %12.4s, v1.s[1] \n"
"fmla v28.4s, %21.4s, v0.s[2] \n"
"fmla v29.4s, %21.4s, v0.s[3] \n"
"fmla v30.4s, %21.4s, v1.s[0] \n"
"fmla v31.4s, %21.4s, v1.s[1] \n"
"fmla v24.4s, %13.4s, v2.s[0] \n"
"fmla v25.4s, %13.4s, v2.s[1] \n"
"fmla v26.4s, %13.4s, v2.s[2] \n"
"fmla v27.4s, %13.4s, v2.s[3] \n"
"fmla v28.4s, %22.4s, v2.s[0] \n"
"fmla v29.4s, %22.4s, v2.s[1] \n"
"fmla v30.4s, %22.4s, v2.s[2] \n"
"fmla v31.4s, %22.4s, v2.s[3] \n"
"fmla v24.4s, %14.4s, v2.s[1] \n"
"fmla v25.4s, %14.4s, v2.s[2] \n"
"fmla v26.4s, %14.4s, v2.s[3] \n"
"fmla v27.4s, %14.4s, v3.s[0] \n"
"fmla v28.4s, %23.4s, v2.s[1] \n"
"fmla v29.4s, %23.4s, v2.s[2] \n"
"fmla v30.4s, %23.4s, v2.s[3] \n"
"fmla v31.4s, %23.4s, v3.s[0] \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v0.4s}, [%4], #16 \n"
"ld1 {v1.2s}, [%4] \n"
"fmla v24.4s, %15.4s, v2.s[2] \n"
"fmla v25.4s, %15.4s, v2.s[3] \n"
"fmla v26.4s, %15.4s, v3.s[0] \n"
"fmla v27.4s, %15.4s, v3.s[1] \n"
"fmla v28.4s, %24.4s, v2.s[2] \n"
"fmla v29.4s, %24.4s, v2.s[3] \n"
"fmla v30.4s, %24.4s, v3.s[0] \n"
"fmla v31.4s, %24.4s, v3.s[1] \n"
"fmla v24.4s, %16.4s, v0.s[0] \n"
"fmla v25.4s, %16.4s, v0.s[1] \n"
"fmla v26.4s, %16.4s, v0.s[2] \n"
"fmla v27.4s, %16.4s, v0.s[3] \n"
"fmla v28.4s, %25.4s, v0.s[0] \n"
"fmla v29.4s, %25.4s, v0.s[1] \n"
"fmla v30.4s, %25.4s, v0.s[2] \n"
"fmla v31.4s, %25.4s, v0.s[3] \n"
"fmla v24.4s, %17.4s, v0.s[1] \n"
"fmla v25.4s, %17.4s, v0.s[2] \n"
"fmla v26.4s, %17.4s, v0.s[3] \n"
"fmla v27.4s, %17.4s, v1.s[0] \n"
"fmla v28.4s, %26.4s, v0.s[1] \n"
"fmla v29.4s, %26.4s, v0.s[2] \n"
"fmla v30.4s, %26.4s, v0.s[3] \n"
"fmla v31.4s, %26.4s, v1.s[0] \n"
"fmla v24.4s, %18.4s, v0.s[2] \n"
"fmla v25.4s, %18.4s, v0.s[3] \n"
"fmla v26.4s, %18.4s, v1.s[0] \n"
"fmla v27.4s, %18.4s, v1.s[1] \n"
"fmla v28.4s, %27.4s, v0.s[2] \n"
"fmla v29.4s, %27.4s, v0.s[3] \n"
"fmla v30.4s, %27.4s, v1.s[0] \n"
"fmla v31.4s, %27.4s, v1.s[1] \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%0], #64 \n"
"st1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%1], #64 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00_0), // %10
"w"(_k01_0), // %11
"w"(_k02_0), // %12
"w"(_k10_0), // %13
"w"(_k11_0), // %14
"w"(_k12_0), // %15
"w"(_k20_0), // %16
"w"(_k21_0), // %17
"w"(_k22_0), // %18
"w"(_k00_1), // %19
"w"(_k01_1), // %20
"w"(_k02_1), // %21
"w"(_k10_1), // %22
"w"(_k11_1), // %23
"w"(_k12_1), // %24
"w"(_k20_1), // %25
"w"(_k21_1), // %26
"w"(_k22_1) // %27
: "memory", "v0", "v1", "v2", "v3", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
}
for (; j+1<outw; j+=2)
{
asm volatile(
"prfm pldl1keep, [%0, #256] \n"
"ld1 {v24.4s, v25.4s}, [%0] \n"
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v26.4s, v27.4s}, [%1] \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v0.4s}, [%2] \n"
"add %2, %2, #8 \n"
"fmla v24.4s, %10.4s, v0.s[0] \n"
"fmla v25.4s, %10.4s, v0.s[1] \n"
"fmla v26.4s, %19.4s, v0.s[0] \n"
"fmla v27.4s, %19.4s, v0.s[1] \n"
"fmla v24.4s, %11.4s, v0.s[1] \n"
"fmla v25.4s, %11.4s, v0.s[2] \n"
"fmla v26.4s, %20.4s, v0.s[1] \n"
"fmla v27.4s, %20.4s, v0.s[2] \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v1.4s}, [%3] \n"
"fmla v24.4s, %12.4s, v0.s[2] \n"
"fmla v25.4s, %12.4s, v0.s[3] \n"
"fmla v26.4s, %21.4s, v0.s[2] \n"
"fmla v27.4s, %21.4s, v0.s[3] \n"
"add %3, %3, #8 \n"
"fmla v24.4s, %13.4s, v1.s[0] \n"
"fmla v25.4s, %13.4s, v1.s[1] \n"
"fmla v26.4s, %22.4s, v1.s[0] \n"
"fmla v27.4s, %22.4s, v1.s[1] \n"
"fmla v24.4s, %14.4s, v1.s[1] \n"
"fmla v25.4s, %14.4s, v1.s[2] \n"
"fmla v26.4s, %23.4s, v1.s[1] \n"
"fmla v27.4s, %23.4s, v1.s[2] \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v0.4s}, [%4] \n"
"fmla v24.4s, %15.4s, v1.s[2] \n"
"fmla v25.4s, %15.4s, v1.s[3] \n"
"fmla v26.4s, %24.4s, v1.s[2] \n"
"fmla v27.4s, %24.4s, v1.s[3] \n"
"add %4, %4, #8 \n"
"fmla v24.4s, %16.4s, v0.s[0] \n"
"fmla v25.4s, %16.4s, v0.s[1] \n"
"fmla v26.4s, %25.4s, v0.s[0] \n"
"fmla v27.4s, %25.4s, v0.s[1] \n"
"fmla v24.4s, %17.4s, v0.s[1] \n"
"fmla v25.4s, %17.4s, v0.s[2] \n"
"fmla v26.4s, %26.4s, v0.s[1] \n"
"fmla v27.4s, %26.4s, v0.s[2] \n"
"fmla v24.4s, %18.4s, v0.s[2] \n"
"fmla v25.4s, %18.4s, v0.s[3] \n"
"fmla v26.4s, %27.4s, v0.s[2] \n"
"fmla v27.4s, %27.4s, v0.s[3] \n"
"st1 {v24.4s, v25.4s}, [%0], #32 \n"
"st1 {v26.4s, v27.4s}, [%1], #32 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00_0), // %10
"w"(_k01_0), // %11
"w"(_k02_0), // %12
"w"(_k10_0), // %13
"w"(_k11_0), // %14
"w"(_k12_0), // %15
"w"(_k20_0), // %16
"w"(_k21_0), // %17
"w"(_k22_0), // %18
"w"(_k00_1), // %19
"w"(_k01_1), // %20
"w"(_k02_1), // %21
"w"(_k10_1), // %22
"w"(_k11_1), // %23
"w"(_k12_1), // %24
"w"(_k20_1), // %25
"w"(_k21_1), // %26
"w"(_k22_1) // %27
: "memory", "v0", "v1", "v24", "v25", "v26", "v27"
);
}
for (; j<outw; j++)
{
float32x4_t _sum00 = vld1q_f32(outptr0);
float32x4_t _sum10 = vld1q_f32(outptr1);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r2 = vld1q_f32(r2);
_sum00 = vfmaq_laneq_f32(_sum00, _k00_0, _r0, 0);
_sum00 = vfmaq_laneq_f32(_sum00, _k01_0, _r0, 1);
_sum00 = vfmaq_laneq_f32(_sum00, _k02_0, _r0, 2);
_sum00 = vfmaq_laneq_f32(_sum00, _k10_0, _r1, 0);
_sum00 = vfmaq_laneq_f32(_sum00, _k11_0, _r1, 1);
_sum00 = vfmaq_laneq_f32(_sum00, _k12_0, _r1, 2);
_sum00 = vfmaq_laneq_f32(_sum00, _k20_0, _r2, 0);
_sum00 = vfmaq_laneq_f32(_sum00, _k21_0, _r2, 1);
_sum00 = vfmaq_laneq_f32(_sum00, _k22_0, _r2, 2);
_sum10 = vfmaq_laneq_f32(_sum10, _k00_1, _r0, 0);
_sum10 = vfmaq_laneq_f32(_sum10, _k01_1, _r0, 1);
_sum10 = vfmaq_laneq_f32(_sum10, _k02_1, _r0, 2);
_sum10 = vfmaq_laneq_f32(_sum10, _k10_1, _r1, 0);
_sum10 = vfmaq_laneq_f32(_sum10, _k11_1, _r1, 1);
_sum10 = vfmaq_laneq_f32(_sum10, _k12_1, _r1, 2);
_sum10 = vfmaq_laneq_f32(_sum10, _k20_1, _r2, 0);
_sum10 = vfmaq_laneq_f32(_sum10, _k21_1, _r2, 1);
_sum10 = vfmaq_laneq_f32(_sum10, _k22_1, _r2, 2);
vst1q_f32(outptr0, _sum00);
vst1q_f32(outptr1, _sum10);
r0 += 1;
r1 += 1;
r2 += 1;
outptr0 += 4;
outptr1 += 4;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
k0 += 9*4;
k1 += 9*4;
}
}
#endif // __ARM_NEON && __aarch64__
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + p * 4) : vdupq_n_f32(0.f);
out0.fill(_bias0);
const float* k0 = kernel.channel(p);
for (int q=0; q<inch; q++)
{
float* outptr0 = out0.row(0);
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
float32x4_t _k00 = vld1q_f32(k0);
float32x4_t _k01 = vld1q_f32(k0+4);
float32x4_t _k02 = vld1q_f32(k0+8);
float32x4_t _k10 = vld1q_f32(k0+12);
float32x4_t _k11 = vld1q_f32(k0+16);
float32x4_t _k12 = vld1q_f32(k0+20);
float32x4_t _k20 = vld1q_f32(k0+24);
float32x4_t _k21 = vld1q_f32(k0+28);
float32x4_t _k22 = vld1q_f32(k0+32);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
#if __aarch64__
for (; j+7<outw; j+=8)
{
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%0], #64 \n"
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v0.4s, v1.4s}, [%1], #32 \n"
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%0] \n"
"fmla v24.4s, %8.4s, v0.s[0] \n"
"fmla v25.4s, %8.4s, v0.s[1] \n"
"fmla v26.4s, %8.4s, v0.s[2] \n"
"fmla v27.4s, %8.4s, v0.s[3] \n"
"fmla v28.4s, %8.4s, v1.s[0] \n"
"fmla v29.4s, %8.4s, v1.s[1] \n"
"fmla v30.4s, %8.4s, v1.s[2] \n"
"fmla v31.4s, %8.4s, v1.s[3] \n"
"ld1 {v2.2s}, [%1] \n"
"fmla v24.4s, %9.4s, v0.s[1] \n"
"fmla v25.4s, %9.4s, v0.s[2] \n"
"fmla v26.4s, %9.4s, v0.s[3] \n"
"fmla v27.4s, %9.4s, v1.s[0] \n"
"fmla v28.4s, %9.4s, v1.s[1] \n"
"fmla v29.4s, %9.4s, v1.s[2] \n"
"fmla v30.4s, %9.4s, v1.s[3] \n"
"fmla v31.4s, %9.4s, v2.s[0] \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v4.4s, v5.4s}, [%2], #32 \n"
"fmla v24.4s, %10.4s, v0.s[2] \n"
"fmla v25.4s, %10.4s, v0.s[3] \n"
"fmla v26.4s, %10.4s, v1.s[0] \n"
"fmla v27.4s, %10.4s, v1.s[1] \n"
"fmla v28.4s, %10.4s, v1.s[2] \n"
"fmla v29.4s, %10.4s, v1.s[3] \n"
"fmla v30.4s, %10.4s, v2.s[0] \n"
"fmla v31.4s, %10.4s, v2.s[1] \n"
"ld1 {v2.2s}, [%2] \n"
"fmla v24.4s, %11.4s, v4.s[0] \n"
"fmla v25.4s, %11.4s, v4.s[1] \n"
"fmla v26.4s, %11.4s, v4.s[2] \n"
"fmla v27.4s, %11.4s, v4.s[3] \n"
"fmla v28.4s, %11.4s, v5.s[0] \n"
"fmla v29.4s, %11.4s, v5.s[1] \n"
"fmla v30.4s, %11.4s, v5.s[2] \n"
"fmla v31.4s, %11.4s, v5.s[3] \n"
"fmla v24.4s, %12.4s, v4.s[1] \n"
"fmla v25.4s, %12.4s, v4.s[2] \n"
"fmla v26.4s, %12.4s, v4.s[3] \n"
"fmla v27.4s, %12.4s, v5.s[0] \n"
"fmla v28.4s, %12.4s, v5.s[1] \n"
"fmla v29.4s, %12.4s, v5.s[2] \n"
"fmla v30.4s, %12.4s, v5.s[3] \n"
"fmla v31.4s, %12.4s, v2.s[0] \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4s, v1.4s}, [%3], #32 \n"
"fmla v24.4s, %13.4s, v4.s[2] \n"
"fmla v25.4s, %13.4s, v4.s[3] \n"
"fmla v26.4s, %13.4s, v5.s[0] \n"
"fmla v27.4s, %13.4s, v5.s[1] \n"
"fmla v28.4s, %13.4s, v5.s[2] \n"
"fmla v29.4s, %13.4s, v5.s[3] \n"
"fmla v30.4s, %13.4s, v2.s[0] \n"
"fmla v31.4s, %13.4s, v2.s[1] \n"
"ld1 {v2.2s}, [%3] \n"
"fmla v24.4s, %14.4s, v0.s[0] \n"
"fmla v25.4s, %14.4s, v0.s[1] \n"
"fmla v26.4s, %14.4s, v0.s[2] \n"
"fmla v27.4s, %14.4s, v0.s[3] \n"
"fmla v28.4s, %14.4s, v1.s[0] \n"
"fmla v29.4s, %14.4s, v1.s[1] \n"
"fmla v30.4s, %14.4s, v1.s[2] \n"
"fmla v31.4s, %14.4s, v1.s[3] \n"
"fmla v24.4s, %15.4s, v0.s[1] \n"
"fmla v25.4s, %15.4s, v0.s[2] \n"
"fmla v26.4s, %15.4s, v0.s[3] \n"
"fmla v27.4s, %15.4s, v1.s[0] \n"
"fmla v28.4s, %15.4s, v1.s[1] \n"
"fmla v29.4s, %15.4s, v1.s[2] \n"
"fmla v30.4s, %15.4s, v1.s[3] \n"
"fmla v31.4s, %15.4s, v2.s[0] \n"
"sub %0, %0, #64 \n"
"fmla v24.4s, %16.4s, v0.s[2] \n"
"fmla v25.4s, %16.4s, v0.s[3] \n"
"fmla v26.4s, %16.4s, v1.s[0] \n"
"fmla v27.4s, %16.4s, v1.s[1] \n"
"fmla v28.4s, %16.4s, v1.s[2] \n"
"fmla v29.4s, %16.4s, v1.s[3] \n"
"fmla v30.4s, %16.4s, v2.s[0] \n"
"fmla v31.4s, %16.4s, v2.s[1] \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%0], #64 \n"
"st1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%0], #64 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22) // %16
: "memory", "v0", "v1", "v2", "v4", "v5", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
}
#endif // __aarch64__
for (; j+3<outw; j+=4)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%0] \n"
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v0.4s}, [%1], #16 \n"
"fmla v24.4s, %8.4s, v0.s[0] \n"
"fmla v25.4s, %8.4s, v0.s[1] \n"
"fmla v26.4s, %8.4s, v0.s[2] \n"
"fmla v27.4s, %8.4s, v0.s[3] \n"
"ld1 {v1.2s}, [%1] \n"
"fmla v24.4s, %9.4s, v0.s[1] \n"
"fmla v25.4s, %9.4s, v0.s[2] \n"
"fmla v26.4s, %9.4s, v0.s[3] \n"
"fmla v27.4s, %9.4s, v1.s[0] \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v2.4s}, [%2], #16 \n"
"fmla v24.4s, %10.4s, v0.s[2] \n"
"fmla v25.4s, %10.4s, v0.s[3] \n"
"fmla v26.4s, %10.4s, v1.s[0] \n"
"fmla v27.4s, %10.4s, v1.s[1] \n"
"ld1 {v3.2s}, [%2] \n"
"fmla v24.4s, %11.4s, v2.s[0] \n"
"fmla v25.4s, %11.4s, v2.s[1] \n"
"fmla v26.4s, %11.4s, v2.s[2] \n"
"fmla v27.4s, %11.4s, v2.s[3] \n"
"fmla v24.4s, %12.4s, v2.s[1] \n"
"fmla v25.4s, %12.4s, v2.s[2] \n"
"fmla v26.4s, %12.4s, v2.s[3] \n"
"fmla v27.4s, %12.4s, v3.s[0] \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v0.4s}, [%3], #16 \n"
"fmla v24.4s, %13.4s, v2.s[2] \n"
"fmla v25.4s, %13.4s, v2.s[3] \n"
"fmla v26.4s, %13.4s, v3.s[0] \n"
"fmla v27.4s, %13.4s, v3.s[1] \n"
"ld1 {v1.2s}, [%3] \n"
"fmla v24.4s, %14.4s, v0.s[0] \n"
"fmla v25.4s, %14.4s, v0.s[1] \n"
"fmla v26.4s, %14.4s, v0.s[2] \n"
"fmla v27.4s, %14.4s, v0.s[3] \n"
"fmla v24.4s, %15.4s, v0.s[1] \n"
"fmla v25.4s, %15.4s, v0.s[2] \n"
"fmla v26.4s, %15.4s, v0.s[3] \n"
"fmla v27.4s, %15.4s, v1.s[0] \n"
"fmla v24.4s, %16.4s, v0.s[2] \n"
"fmla v25.4s, %16.4s, v0.s[3] \n"
"fmla v26.4s, %16.4s, v1.s[0] \n"
"fmla v27.4s, %16.4s, v1.s[1] \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%0], #64 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22) // %16
: "memory", "v0", "v1", "v2", "v3", "v24", "v25", "v26", "v27"
);
#else // __aarch64__
asm volatile(
"pld [%0, #512] \n"
"vldm %0, {d24-d31} \n"
"pld [%1, #128] \n"
"vld1.f32 {d0-d1}, [%1]! \n"
"vmla.f32 q12, %q8, d0[0] \n"
"vmla.f32 q13, %q8, d0[1] \n"
"vmla.f32 q14, %q8, d1[0] \n"
"vmla.f32 q15, %q8, d1[1] \n"
"vld1.f32 {d2}, [%1] \n"
"vmla.f32 q12, %q9, d0[1] \n"
"vmla.f32 q13, %q9, d1[0] \n"
"vmla.f32 q14, %q9, d1[1] \n"
"vmla.f32 q15, %q9, d2[0] \n"
"pld [%2, #128] \n"
"vld1.f32 {d4-d5}, [%2]! \n"
"vmla.f32 q12, %q10, d1[0] \n"
"vmla.f32 q13, %q10, d1[1] \n"
"vmla.f32 q14, %q10, d2[0] \n"
"vmla.f32 q15, %q10, d2[1] \n"
"vmla.f32 q12, %q11, d4[0] \n"
"vmla.f32 q13, %q11, d4[1] \n"
"vmla.f32 q14, %q11, d5[0] \n"
"vmla.f32 q15, %q11, d5[1] \n"
"vld1.f32 {d3}, [%2] \n"
"vmla.f32 q12, %q12, d4[1] \n"
"vmla.f32 q13, %q12, d5[0] \n"
"vmla.f32 q14, %q12, d5[1] \n"
"vmla.f32 q15, %q12, d3[0] \n"
"pld [%3, #128] \n"
"vld1.f32 {d0-d1}, [%3]! \n"
"vmla.f32 q12, %q13, d5[0] \n"
"vmla.f32 q13, %q13, d5[1] \n"
"vmla.f32 q14, %q13, d3[0] \n"
"vmla.f32 q15, %q13, d3[1] \n"
"vmla.f32 q12, %q14, d0[0] \n"
"vmla.f32 q13, %q14, d0[1] \n"
"vmla.f32 q14, %q14, d1[0] \n"
"vmla.f32 q15, %q14, d1[1] \n"
"vld1.f32 {d2}, [%3] \n"
"vmla.f32 q12, %q15, d0[1] \n"
"vmla.f32 q13, %q15, d1[0] \n"
"vmla.f32 q14, %q15, d1[1] \n"
"vmla.f32 q15, %q15, d2[0] \n"
"vmla.f32 q12, %q16, d1[0] \n"
"vmla.f32 q13, %q16, d1[1] \n"
"vmla.f32 q14, %q16, d2[0] \n"
"vmla.f32 q15, %q16, d2[1] \n"
"vstm %0!, {d24-d31} \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22) // %16
: "memory", "q0", "q1", "q2", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
for (; j+1<outw; j+=2)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #256] \n"
"ld1 {v24.4s, v25.4s}, [%0] \n"
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v0.4s}, [%1] \n"
"fmul v26.4s, %8.4s, v0.s[0] \n"
"fmul v27.4s, %8.4s, v0.s[1] \n"
"fmla v24.4s, %9.4s, v0.s[1] \n"
"fmla v25.4s, %9.4s, v0.s[2] \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v1.4s}, [%2] \n"
"fmla v26.4s, %10.4s, v0.s[2] \n"
"fmla v27.4s, %10.4s, v0.s[3] \n"
"fmla v24.4s, %11.4s, v1.s[0] \n"
"fmla v25.4s, %11.4s, v1.s[1] \n"
"add %1, %1, #8 \n"
"fmla v26.4s, %12.4s, v1.s[1] \n"
"fmla v27.4s, %12.4s, v1.s[2] \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v0.4s}, [%3] \n"
"fmla v24.4s, %13.4s, v1.s[2] \n"
"fmla v25.4s, %13.4s, v1.s[3] \n"
"fmla v26.4s, %14.4s, v0.s[0] \n"
"fmla v27.4s, %14.4s, v0.s[1] \n"
"add %2, %2, #8 \n"
"fmla v24.4s, %15.4s, v0.s[1] \n"
"fmla v25.4s, %15.4s, v0.s[2] \n"
"fmla v26.4s, %16.4s, v0.s[2] \n"
"fmla v27.4s, %16.4s, v0.s[3] \n"
"add %3, %3, #8 \n"
"fadd v24.4s, v24.4s, v26.4s \n"
"fadd v25.4s, v25.4s, v27.4s \n"
"st1 {v24.4s, v25.4s}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22) // %16
: "memory", "v0", "v1", "v24", "v25", "v26", "v27"
);
#else // __aarch64__
asm volatile(
"pld [%0, #256] \n"
"vld1.f32 {d24-d27}, [%0 :128] \n"
"pld [%1, #128] \n"
"vld1.f32 {d0-d1}, [%1] \n"
"vmul.f32 q14, %q8, d0[0] \n"
"vmul.f32 q15, %q8, d0[1] \n"
"vmla.f32 q12, %q9, d0[1] \n"
"vmla.f32 q13, %q9, d1[0] \n"
"pld [%2, #128] \n"
"vld1.f32 {d2-d3}, [%2] \n"
"vmla.f32 q14, %q10, d1[0] \n"
"vmla.f32 q15, %q10, d1[1] \n"
"vmla.f32 q12, %q11, d2[0] \n"
"vmla.f32 q13, %q11, d2[1] \n"
"add %1, %1, #8 \n"
"vmla.f32 q14, %q12, d2[1] \n"
"vmla.f32 q15, %q12, d3[0] \n"
"pld [%3, #128] \n"
"vld1.f32 {d0-d1}, [%3] \n"
"vmla.f32 q12, %q13, d3[0] \n"
"vmla.f32 q13, %q13, d3[1] \n"
"vmla.f32 q14, %q14, d0[0] \n"
"vmla.f32 q15, %q14, d0[1] \n"
"add %2, %2, #8 \n"
"vmla.f32 q12, %q15, d0[1] \n"
"vmla.f32 q13, %q15, d1[0] \n"
"vmla.f32 q14, %q16, d1[0] \n"
"vmla.f32 q15, %q16, d1[1] \n"
"add %3, %3, #8 \n"
"vadd.f32 q12, q12, q14 \n"
"vadd.f32 q13, q13, q15 \n"
"vst1.f32 {d24-d27}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2) // %3
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"w"(_k00), // %8
"w"(_k01), // %9
"w"(_k02), // %10
"w"(_k10), // %11
"w"(_k11), // %12
"w"(_k12), // %13
"w"(_k20), // %14
"w"(_k21), // %15
"w"(_k22) // %16
: "memory", "q0", "q1", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
for (; j<outw; j++)
{
float32x4_t _sum0 = vld1q_f32(outptr0);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r2 = vld1q_f32(r2);
#if __aarch64__
_sum0 = vfmaq_laneq_f32(_sum0, _k00, _r0, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k01, _r0, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k02, _r0, 2);
_sum0 = vfmaq_laneq_f32(_sum0, _k10, _r1, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k11, _r1, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k12, _r1, 2);
_sum0 = vfmaq_laneq_f32(_sum0, _k20, _r2, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k21, _r2, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k22, _r2, 2);
#else
_sum0 = vmlaq_lane_f32(_sum0, _k00, vget_low_f32(_r0), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k01, vget_low_f32(_r0), 1);
_sum0 = vmlaq_lane_f32(_sum0, _k02, vget_high_f32(_r0), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k10, vget_low_f32(_r1), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k11, vget_low_f32(_r1), 1);
_sum0 = vmlaq_lane_f32(_sum0, _k12, vget_high_f32(_r1), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k20, vget_low_f32(_r2), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k21, vget_low_f32(_r2), 1);
_sum0 = vmlaq_lane_f32(_sum0, _k22, vget_high_f32(_r2), 0);
#endif
vst1q_f32(outptr0, _sum0);
r0 += 1;
r1 += 1;
r2 += 1;
outptr0 += 4;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
k0 += 9*4;
}
}
}
static void conv3x3s2_pack1to4_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2*outw + w;
const float* bias = _bias;
int nn_outch = 0;
int remain_outch_start = 0;
#if __ARM_NEON && __aarch64__
nn_outch = outch >> 1;
remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp=0; pp<nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p+1);
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + p * 4) : vdupq_n_f32(0.f);
float32x4_t _bias1 = bias ? vld1q_f32((const float*)bias + (p+1) * 4) : vdupq_n_f32(0.f);
out0.fill(_bias0);
out1.fill(_bias1);
const float* k0 = kernel.channel(p);
const float* k1 = kernel.channel(p+1);
for (int q=0; q<inch; q++)
{
float* outptr0 = out0;
float* outptr1 = out1;
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
float32x4_t _k00_0 = vld1q_f32(k0);
float32x4_t _k01_0 = vld1q_f32(k0+4);
float32x4_t _k02_0 = vld1q_f32(k0+8);
float32x4_t _k10_0 = vld1q_f32(k0+12);
float32x4_t _k11_0 = vld1q_f32(k0+16);
float32x4_t _k12_0 = vld1q_f32(k0+20);
float32x4_t _k20_0 = vld1q_f32(k0+24);
float32x4_t _k21_0 = vld1q_f32(k0+28);
float32x4_t _k22_0 = vld1q_f32(k0+32);
float32x4_t _k00_1 = vld1q_f32(k1);
float32x4_t _k01_1 = vld1q_f32(k1+4);
float32x4_t _k02_1 = vld1q_f32(k1+8);
float32x4_t _k10_1 = vld1q_f32(k1+12);
float32x4_t _k11_1 = vld1q_f32(k1+16);
float32x4_t _k12_1 = vld1q_f32(k1+20);
float32x4_t _k20_1 = vld1q_f32(k1+24);
float32x4_t _k21_1 = vld1q_f32(k1+28);
float32x4_t _k22_1 = vld1q_f32(k1+32);
int i = 0;
for (; i < outh; i++)
{
int nn = outw >> 2;
int remain = outw & 3;
if (nn > 0)
{
asm volatile(
"0: \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v6.4s, v7.4s, v8.4s, v9.4s}, [%1] \n"// sum0
// r0
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4s, v1.4s}, [%3], #32 \n"
"ld1r {v4.4s}, [%3] \n"
"fmla v6.4s, %12.4s, v0.s[0] \n"
"fmla v7.4s, %12.4s, v0.s[2] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v10.4s, v11.4s, v12.4s, v13.4s}, [%2] \n"// sum1
"fmla v8.4s, %12.4s, v1.s[0] \n"
"fmla v9.4s, %12.4s, v1.s[2] \n"
"fmla v10.4s, %21.4s, v0.s[0] \n"
"fmla v11.4s, %21.4s, v0.s[2] \n"
"fmla v12.4s, %21.4s, v1.s[0] \n"
"fmla v13.4s, %21.4s, v1.s[2] \n"
"fmla v6.4s, %13.4s, v0.s[1] \n"
"fmla v7.4s, %13.4s, v0.s[3] \n"
"fmla v8.4s, %13.4s, v1.s[1] \n"
"fmla v9.4s, %13.4s, v1.s[3] \n"
"fmla v10.4s, %22.4s, v0.s[1] \n"
"fmla v11.4s, %22.4s, v0.s[3] \n"
"fmla v12.4s, %22.4s, v1.s[1] \n"
"fmla v13.4s, %22.4s, v1.s[3] \n"
// r1
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v2.4s, v3.4s}, [%4], #32 \n"
"ld1r {v5.4s}, [%4] \n"
"fmla v6.4s, %14.4s, v0.s[2] \n"
"fmla v7.4s, %14.4s, v1.s[0] \n"
"fmla v8.4s, %14.4s, v1.s[2] \n"
"fmla v9.4s, %14.4s, v4.s[0] \n"
"fmla v10.4s, %23.4s, v0.s[2] \n"
"fmla v11.4s, %23.4s, v1.s[0] \n"
"fmla v12.4s, %23.4s, v1.s[2] \n"
"fmla v13.4s, %23.4s, v4.s[0] \n"
"fmla v6.4s, %15.4s, v2.s[0] \n"
"fmla v7.4s, %15.4s, v2.s[2] \n"
"fmla v8.4s, %15.4s, v3.s[0] \n"
"fmla v9.4s, %15.4s, v3.s[2] \n"
"fmla v10.4s, %24.4s, v2.s[0] \n"
"fmla v11.4s, %24.4s, v2.s[2] \n"
"fmla v12.4s, %24.4s, v3.s[0] \n"
"fmla v13.4s, %24.4s, v3.s[2] \n"
"fmla v6.4s, %16.4s, v2.s[1] \n"
"fmla v7.4s, %16.4s, v2.s[3] \n"
"fmla v8.4s, %16.4s, v3.s[1] \n"
"fmla v9.4s, %16.4s, v3.s[3] \n"
"fmla v10.4s, %25.4s, v2.s[1] \n"
"fmla v11.4s, %25.4s, v2.s[3] \n"
"fmla v12.4s, %25.4s, v3.s[1] \n"
"fmla v13.4s, %25.4s, v3.s[3] \n"
// r2
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v0.4s, v1.4s}, [%5], #32 \n"
"ld1r {v4.4s}, [%5] \n"
"fmla v6.4s, %17.4s, v2.s[2] \n"
"fmla v7.4s, %17.4s, v3.s[0] \n"
"fmla v8.4s, %17.4s, v3.s[2] \n"
"fmla v9.4s, %17.4s, v5.s[0] \n"
"fmla v10.4s, %26.4s, v2.s[2] \n"
"fmla v11.4s, %26.4s, v3.s[0] \n"
"fmla v12.4s, %26.4s, v3.s[2] \n"
"fmla v13.4s, %26.4s, v5.s[0] \n"
"fmla v6.4s, %18.4s, v0.s[0] \n"
"fmla v7.4s, %18.4s, v0.s[2] \n"
"fmla v8.4s, %18.4s, v1.s[0] \n"
"fmla v9.4s, %18.4s, v1.s[2] \n"
"fmla v10.4s, %27.4s, v0.s[0] \n"
"fmla v11.4s, %27.4s, v0.s[2] \n"
"fmla v12.4s, %27.4s, v1.s[0] \n"
"fmla v13.4s, %27.4s, v1.s[2] \n"
"fmla v6.4s, %19.4s, v0.s[1] \n"
"fmla v7.4s, %19.4s, v0.s[3] \n"
"fmla v8.4s, %19.4s, v1.s[1] \n"
"fmla v9.4s, %19.4s, v1.s[3] \n"
"fmla v10.4s, %28.4s, v0.s[1] \n"
"fmla v11.4s, %28.4s, v0.s[3] \n"
"fmla v12.4s, %28.4s, v1.s[1] \n"
"fmla v13.4s, %28.4s, v1.s[3] \n"
"fmla v6.4s, %20.4s, v0.s[2] \n"
"fmla v7.4s, %20.4s, v1.s[0] \n"
"fmla v8.4s, %20.4s, v1.s[2] \n"
"fmla v9.4s, %20.4s, v4.s[0] \n"
"fmla v10.4s, %29.4s, v0.s[2] \n"
"fmla v11.4s, %29.4s, v1.s[0] \n"
"fmla v12.4s, %29.4s, v1.s[2] \n"
"fmla v13.4s, %29.4s, v4.s[0] \n"
"subs %w0, %w0, #1 \n"
"st1 {v6.4s, v7.4s, v8.4s, v9.4s}, [%1], #64 \n"
"st1 {v10.4s, v11.4s, v12.4s, v13.4s}, [%2], #64 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2),
"w"(_k00_0), // %12
"w"(_k01_0), // %13
"w"(_k02_0), // %14
"w"(_k10_0), // %15
"w"(_k11_0), // %16
"w"(_k12_0), // %17
"w"(_k20_0), // %18
"w"(_k21_0), // %19
"w"(_k22_0), // %20
"w"(_k00_1), // %21
"w"(_k01_1), // %22
"w"(_k02_1), // %23
"w"(_k10_1), // %24
"w"(_k11_1), // %25
"w"(_k12_1), // %26
"w"(_k20_1), // %27
"w"(_k21_1), // %28
"w"(_k22_1) // %29
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13"
);
}
for (; remain>0; remain--)
{
float32x4_t _sum0 = vld1q_f32(outptr0);
float32x4_t _sum1 = vld1q_f32(outptr1);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r2 = vld1q_f32(r2);
_sum0 = vfmaq_laneq_f32(_sum0, _k00_0, _r0, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k01_0, _r0, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k02_0, _r0, 2);
_sum0 = vfmaq_laneq_f32(_sum0, _k10_0, _r1, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k11_0, _r1, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k12_0, _r1, 2);
_sum0 = vfmaq_laneq_f32(_sum0, _k20_0, _r2, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k21_0, _r2, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k22_0, _r2, 2);
_sum1 = vfmaq_laneq_f32(_sum1, _k00_1, _r0, 0);
_sum1 = vfmaq_laneq_f32(_sum1, _k01_1, _r0, 1);
_sum1 = vfmaq_laneq_f32(_sum1, _k02_1, _r0, 2);
_sum1 = vfmaq_laneq_f32(_sum1, _k10_1, _r1, 0);
_sum1 = vfmaq_laneq_f32(_sum1, _k11_1, _r1, 1);
_sum1 = vfmaq_laneq_f32(_sum1, _k12_1, _r1, 2);
_sum1 = vfmaq_laneq_f32(_sum1, _k20_1, _r2, 0);
_sum1 = vfmaq_laneq_f32(_sum1, _k21_1, _r2, 1);
_sum1 = vfmaq_laneq_f32(_sum1, _k22_1, _r2, 2);
vst1q_f32(outptr0, _sum0);
vst1q_f32(outptr1, _sum1);
r0 += 2;
r1 += 2;
r2 += 2;
outptr0 += 4;
outptr1 += 4;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
k0 += 9*4;
k1 += 9*4;
}
}
#endif // __ARM_NEON && __aarch64__
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + p * 4) : vdupq_n_f32(0.f);
out0.fill(_bias0);
const float* k0 = kernel.channel(p);
for (int q=0; q<inch; q++)
{
float* outptr0 = out0;
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
float32x4_t _k00 = vld1q_f32(k0);
float32x4_t _k01 = vld1q_f32(k0+4);
float32x4_t _k02 = vld1q_f32(k0+8);
float32x4_t _k10 = vld1q_f32(k0+12);
float32x4_t _k11 = vld1q_f32(k0+16);
float32x4_t _k12 = vld1q_f32(k0+20);
float32x4_t _k20 = vld1q_f32(k0+24);
float32x4_t _k21 = vld1q_f32(k0+28);
float32x4_t _k22 = vld1q_f32(k0+32);
int i = 0;
for (; i < outh; i++)
{
int nn = outw >> 2;
int remain = outw & 3;
#if __aarch64__
if (nn > 0)
{
asm volatile(
"0: \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v6.4s, v7.4s, v8.4s, v9.4s}, [%1] \n"// sum0
// r0
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v0.4s, v1.4s}, [%2], #32 \n"
"ld1r {v4.4s}, [%2] \n"
"fmla v6.4s, %10.4s, v0.s[0] \n"
"fmla v7.4s, %10.4s, v0.s[2] \n"
"fmla v8.4s, %10.4s, v1.s[0] \n"
"fmla v9.4s, %10.4s, v1.s[2] \n"
"fmla v6.4s, %11.4s, v0.s[1] \n"
"fmla v7.4s, %11.4s, v0.s[3] \n"
"fmla v8.4s, %11.4s, v1.s[1] \n"
"fmla v9.4s, %11.4s, v1.s[3] \n"
// r1
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v2.4s, v3.4s}, [%3], #32 \n"
"ld1r {v5.4s}, [%3] \n"
"fmla v6.4s, %12.4s, v0.s[2] \n"
"fmla v7.4s, %12.4s, v1.s[0] \n"
"fmla v8.4s, %12.4s, v1.s[2] \n"
"fmla v9.4s, %12.4s, v4.s[0] \n"
"fmla v6.4s, %13.4s, v2.s[0] \n"
"fmla v7.4s, %13.4s, v2.s[2] \n"
"fmla v8.4s, %13.4s, v3.s[0] \n"
"fmla v9.4s, %13.4s, v3.s[2] \n"
"fmla v6.4s, %14.4s, v2.s[1] \n"
"fmla v7.4s, %14.4s, v2.s[3] \n"
"fmla v8.4s, %14.4s, v3.s[1] \n"
"fmla v9.4s, %14.4s, v3.s[3] \n"
// r2
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v0.4s, v1.4s}, [%4], #32 \n"
"ld1r {v4.4s}, [%4] \n"
"fmla v6.4s, %15.4s, v2.s[2] \n"
"fmla v7.4s, %15.4s, v3.s[0] \n"
"fmla v8.4s, %15.4s, v3.s[2] \n"
"fmla v9.4s, %15.4s, v5.s[0] \n"
"fmla v6.4s, %16.4s, v0.s[0] \n"
"fmla v7.4s, %16.4s, v0.s[2] \n"
"fmla v8.4s, %16.4s, v1.s[0] \n"
"fmla v9.4s, %16.4s, v1.s[2] \n"
"fmla v6.4s, %17.4s, v0.s[1] \n"
"fmla v7.4s, %17.4s, v0.s[3] \n"
"fmla v8.4s, %17.4s, v1.s[1] \n"
"fmla v9.4s, %17.4s, v1.s[3] \n"
"fmla v6.4s, %18.4s, v0.s[2] \n"
"fmla v7.4s, %18.4s, v1.s[0] \n"
"fmla v8.4s, %18.4s, v1.s[2] \n"
"fmla v9.4s, %18.4s, v4.s[0] \n"
"subs %w0, %w0, #1 \n"
"st1 {v6.4s, v7.4s, v8.4s, v9.4s}, [%1], #64 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00), // %10
"w"(_k01), // %11
"w"(_k02), // %12
"w"(_k10), // %13
"w"(_k11), // %14
"w"(_k12), // %15
"w"(_k20), // %16
"w"(_k21), // %17
"w"(_k22) // %18
: "cc", "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9"
);
}
#else // __aarch64__
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%1, #512] \n"
"vldm %1, {d0-d7} \n"// sum0
// r0
"pld [%2, #256] \n"
"vld1.f32 {d8-d11}, [%2]! \n"
"vld1.f32 {d12[]}, [%2] \n"
"vmla.f32 q0, %q10, d8[0] \n"
"vmla.f32 q1, %q10, d9[0] \n"
"vmla.f32 q2, %q10, d10[0] \n"
"vmla.f32 q3, %q10, d11[0] \n"
"vmla.f32 q0, %q11, d8[1] \n"
"vmla.f32 q1, %q11, d9[1] \n"
"vmla.f32 q2, %q11, d10[1] \n"
"vmla.f32 q3, %q11, d11[1] \n"
"vmla.f32 q0, %q12, d9[0] \n"
"vmla.f32 q1, %q12, d10[0] \n"
"vmla.f32 q2, %q12, d11[0] \n"
// r1
"pld [%3, #256] \n"
"vld1.f32 {d8-d11}, [%3]! \n"
"vld1.f32 {d13[]}, [%3] \n"
"vmla.f32 q3, %q12, d12[0] \n"
"vmla.f32 q0, %q13, d8[0] \n"
"vmla.f32 q1, %q13, d9[0] \n"
"vmla.f32 q2, %q13, d10[0] \n"
"vmla.f32 q3, %q13, d11[0] \n"
"vmla.f32 q0, %q14, d8[1] \n"
"vmla.f32 q1, %q14, d9[1] \n"
"vmla.f32 q2, %q14, d10[1] \n"
"vmla.f32 q3, %q14, d11[1] \n"
"vmla.f32 q0, %q15, d9[0] \n"
"vmla.f32 q1, %q15, d10[0] \n"
"vmla.f32 q2, %q15, d11[0] \n"
// r2
"pld [%4, #256] \n"
"vld1.f32 {d8-d11}, [%4]! \n"
"vld1.f32 {d12[]}, [%4] \n"
"vmla.f32 q3, %q15, d13[0] \n"
"vmla.f32 q0, %q16, d8[0] \n"
"vmla.f32 q1, %q16, d9[0] \n"
"vmla.f32 q2, %q16, d10[0] \n"
"vmla.f32 q3, %q16, d11[0] \n"
"vmla.f32 q0, %q17, d8[1] \n"
"vmla.f32 q1, %q17, d9[1] \n"
"vmla.f32 q2, %q17, d10[1] \n"
"vmla.f32 q3, %q17, d11[1] \n"
"vmla.f32 q0, %q18, d9[0] \n"
"vmla.f32 q1, %q18, d10[0] \n"
"vmla.f32 q2, %q18, d11[0] \n"
"vmla.f32 q3, %q18, d12[0] \n"
"subs %0, %0, #1 \n"
"vstm %1!, {d0-d7} \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00), // %10
"w"(_k01), // %11
"w"(_k02), // %12
"w"(_k10), // %13
"w"(_k11), // %14
"w"(_k12), // %15
"w"(_k20), // %16
"w"(_k21), // %17
"w"(_k22) // %18
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6"
);
}
#endif // __aarch64__
for (; remain>0; remain--)
{
float32x4_t _sum0 = vld1q_f32(outptr0);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r2 = vld1q_f32(r2);
#if __aarch64__
_sum0 = vfmaq_laneq_f32(_sum0, _k00, _r0, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k01, _r0, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k02, _r0, 2);
_sum0 = vfmaq_laneq_f32(_sum0, _k10, _r1, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k11, _r1, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k12, _r1, 2);
_sum0 = vfmaq_laneq_f32(_sum0, _k20, _r2, 0);
_sum0 = vfmaq_laneq_f32(_sum0, _k21, _r2, 1);
_sum0 = vfmaq_laneq_f32(_sum0, _k22, _r2, 2);
#else
_sum0 = vmlaq_lane_f32(_sum0, _k00, vget_low_f32(_r0), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k01, vget_low_f32(_r0), 1);
_sum0 = vmlaq_lane_f32(_sum0, _k02, vget_high_f32(_r0), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k10, vget_low_f32(_r1), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k11, vget_low_f32(_r1), 1);
_sum0 = vmlaq_lane_f32(_sum0, _k12, vget_high_f32(_r1), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k20, vget_low_f32(_r2), 0);
_sum0 = vmlaq_lane_f32(_sum0, _k21, vget_low_f32(_r2), 1);
_sum0 = vmlaq_lane_f32(_sum0, _k22, vget_high_f32(_r2), 0);
#endif
vst1q_f32(outptr0, _sum0);
r0 += 2;
r1 += 2;
r2 += 2;
outptr0 += 4;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
k0 += 9*4;
}
}
}
|
convolutiondepthwise_3x3_pack4.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void convdw3x3s1_pack4_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
__m128 _bias0 = bias ? _mm_loadu_ps((const float*)bias + g * 4) : _mm_set1_ps(0.f);
const float* k0 = kernel.row(g);
float* outptr0 = out.row(0);
const Mat img0 = bottom_blob.channel(g);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
__m128 _k00 = _mm_loadu_ps(k0);
__m128 _k01 = _mm_loadu_ps(k0 + 4);
__m128 _k02 = _mm_loadu_ps(k0 + 8);
__m128 _k10 = _mm_loadu_ps(k0 + 12);
__m128 _k11 = _mm_loadu_ps(k0 + 16);
__m128 _k12 = _mm_loadu_ps(k0 + 20);
__m128 _k20 = _mm_loadu_ps(k0 + 24);
__m128 _k21 = _mm_loadu_ps(k0 + 28);
__m128 _k22 = _mm_loadu_ps(k0 + 32);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 7 < outw; j += 8)
{
__m128 _sum0 = _bias0;
__m128 _r00 = _mm_loadu_ps(r0);
__m128 _r01 = _mm_loadu_ps(r0 + 4);
__m128 _r02 = _mm_loadu_ps(r0 + 8);
__m128 _r10 = _mm_loadu_ps(r1);
__m128 _r11 = _mm_loadu_ps(r1 + 4);
__m128 _r12 = _mm_loadu_ps(r1 + 8);
__m128 _r20 = _mm_loadu_ps(r2);
__m128 _r21 = _mm_loadu_ps(r2 + 4);
__m128 _r22 = _mm_loadu_ps(r2 + 8);
_sum0 = _mm_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k22, _r22, _sum0);
__m128 _sum1 = _bias0;
__m128 _r03 = _mm_loadu_ps(r0 + 12);
__m128 _r13 = _mm_loadu_ps(r1 + 12);
__m128 _r23 = _mm_loadu_ps(r2 + 12);
_mm_storeu_ps(outptr0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_k00, _r01, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k01, _r02, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k02, _r03, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k10, _r11, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k11, _r12, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k12, _r13, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k20, _r21, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k21, _r22, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k22, _r23, _sum1);
__m128 _sum2 = _bias0;
__m128 _r04 = _mm_loadu_ps(r0 + 16);
__m128 _r14 = _mm_loadu_ps(r1 + 16);
__m128 _r24 = _mm_loadu_ps(r2 + 16);
_mm_storeu_ps(outptr0 + 4, _sum1);
_sum2 = _mm_comp_fmadd_ps(_k00, _r02, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k01, _r03, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k02, _r04, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k10, _r12, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k11, _r13, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k12, _r14, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k20, _r22, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k21, _r23, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k22, _r24, _sum2);
__m128 _sum3 = _bias0;
__m128 _r05 = _mm_loadu_ps(r0 + 20);
__m128 _r15 = _mm_loadu_ps(r1 + 20);
__m128 _r25 = _mm_loadu_ps(r2 + 20);
_mm_storeu_ps(outptr0 + 8, _sum2);
_sum3 = _mm_comp_fmadd_ps(_k00, _r03, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k01, _r04, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k02, _r05, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k10, _r13, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k11, _r14, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k12, _r15, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k20, _r23, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k21, _r24, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k22, _r25, _sum3);
__m128 _sum4 = _bias0;
__m128 _r06 = _mm_loadu_ps(r0 + 24);
__m128 _r16 = _mm_loadu_ps(r1 + 24);
__m128 _r26 = _mm_loadu_ps(r2 + 24);
_mm_storeu_ps(outptr0 + 12, _sum3);
_sum4 = _mm_comp_fmadd_ps(_k00, _r04, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k01, _r05, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k02, _r06, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k10, _r14, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k11, _r15, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k12, _r16, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k20, _r24, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k21, _r25, _sum4);
_sum4 = _mm_comp_fmadd_ps(_k22, _r26, _sum4);
__m128 _sum5 = _bias0;
__m128 _r07 = _mm_loadu_ps(r0 + 28);
__m128 _r17 = _mm_loadu_ps(r1 + 28);
__m128 _r27 = _mm_loadu_ps(r2 + 28);
_mm_storeu_ps(outptr0 + 16, _sum4);
_sum5 = _mm_comp_fmadd_ps(_k00, _r05, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k01, _r06, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k02, _r07, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k10, _r15, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k11, _r16, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k12, _r17, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k20, _r25, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k21, _r26, _sum5);
_sum5 = _mm_comp_fmadd_ps(_k22, _r27, _sum5);
__m128 _sum6 = _bias0;
__m128 _r08 = _mm_loadu_ps(r0 + 32);
__m128 _r18 = _mm_loadu_ps(r1 + 32);
__m128 _r28 = _mm_loadu_ps(r2 + 32);
_mm_storeu_ps(outptr0 + 20, _sum5);
_sum6 = _mm_comp_fmadd_ps(_k00, _r06, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k01, _r07, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k02, _r08, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k10, _r16, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k11, _r17, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k12, _r18, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k20, _r26, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k21, _r27, _sum6);
_sum6 = _mm_comp_fmadd_ps(_k22, _r28, _sum6);
__m128 _sum7 = _bias0;
__m128 _r09 = _mm_loadu_ps(r0 + 36);
__m128 _r19 = _mm_loadu_ps(r1 + 36);
__m128 _r29 = _mm_loadu_ps(r2 + 36);
_mm_storeu_ps(outptr0 + 24, _sum6);
_sum7 = _mm_comp_fmadd_ps(_k00, _r07, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k01, _r08, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k02, _r09, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k10, _r17, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k11, _r18, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k12, _r19, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k20, _r27, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k21, _r28, _sum7);
_sum7 = _mm_comp_fmadd_ps(_k22, _r29, _sum7);
_mm_storeu_ps(outptr0 + 28, _sum7);
r0 += 32;
r1 += 32;
r2 += 32;
outptr0 += 32;
}
for (; j + 3 < outw; j += 4)
{
__m128 _sum0 = _bias0;
__m128 _r00 = _mm_loadu_ps(r0);
__m128 _r01 = _mm_loadu_ps(r0 + 4);
__m128 _r02 = _mm_loadu_ps(r0 + 8);
__m128 _r10 = _mm_loadu_ps(r1);
__m128 _r11 = _mm_loadu_ps(r1 + 4);
__m128 _r12 = _mm_loadu_ps(r1 + 8);
__m128 _r20 = _mm_loadu_ps(r2);
__m128 _r21 = _mm_loadu_ps(r2 + 4);
__m128 _r22 = _mm_loadu_ps(r2 + 8);
_sum0 = _mm_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k22, _r22, _sum0);
__m128 _sum1 = _bias0;
__m128 _r03 = _mm_loadu_ps(r0 + 12);
__m128 _r13 = _mm_loadu_ps(r1 + 12);
__m128 _r23 = _mm_loadu_ps(r2 + 12);
_mm_storeu_ps(outptr0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_k00, _r01, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k01, _r02, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k02, _r03, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k10, _r11, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k11, _r12, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k12, _r13, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k20, _r21, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k21, _r22, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k22, _r23, _sum1);
__m128 _sum2 = _bias0;
__m128 _r04 = _mm_loadu_ps(r0 + 16);
__m128 _r14 = _mm_loadu_ps(r1 + 16);
__m128 _r24 = _mm_loadu_ps(r2 + 16);
_mm_storeu_ps(outptr0 + 4, _sum1);
_sum2 = _mm_comp_fmadd_ps(_k00, _r02, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k01, _r03, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k02, _r04, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k10, _r12, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k11, _r13, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k12, _r14, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k20, _r22, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k21, _r23, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k22, _r24, _sum2);
__m128 _sum3 = _bias0;
__m128 _r05 = _mm_loadu_ps(r0 + 20);
__m128 _r15 = _mm_loadu_ps(r1 + 20);
__m128 _r25 = _mm_loadu_ps(r2 + 20);
_mm_storeu_ps(outptr0 + 8, _sum2);
_sum3 = _mm_comp_fmadd_ps(_k00, _r03, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k01, _r04, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k02, _r05, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k10, _r13, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k11, _r14, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k12, _r15, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k20, _r23, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k21, _r24, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k22, _r25, _sum3);
_mm_storeu_ps(outptr0 + 12, _sum3);
r0 += 16;
r1 += 16;
r2 += 16;
outptr0 += 16;
}
for (; j + 1 < outw; j += 2)
{
__m128 _sum0 = _bias0;
__m128 _r00 = _mm_loadu_ps(r0);
__m128 _r01 = _mm_loadu_ps(r0 + 4);
__m128 _r02 = _mm_loadu_ps(r0 + 8);
__m128 _r10 = _mm_loadu_ps(r1);
__m128 _r11 = _mm_loadu_ps(r1 + 4);
__m128 _r12 = _mm_loadu_ps(r1 + 8);
__m128 _r20 = _mm_loadu_ps(r2);
__m128 _r21 = _mm_loadu_ps(r2 + 4);
__m128 _r22 = _mm_loadu_ps(r2 + 8);
_sum0 = _mm_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k22, _r22, _sum0);
__m128 _sum1 = _bias0;
__m128 _r03 = _mm_loadu_ps(r0 + 12);
__m128 _r13 = _mm_loadu_ps(r1 + 12);
__m128 _r23 = _mm_loadu_ps(r2 + 12);
_mm_storeu_ps(outptr0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_k00, _r01, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k01, _r02, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k02, _r03, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k10, _r11, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k11, _r12, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k12, _r13, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k20, _r21, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k21, _r22, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k22, _r23, _sum1);
_mm_storeu_ps(outptr0 + 4, _sum1);
r0 += 8;
r1 += 8;
r2 += 8;
outptr0 += 8;
}
for (; j < outw; j++)
{
__m128 _sum0 = _bias0;
__m128 _r00 = _mm_loadu_ps(r0);
__m128 _r01 = _mm_loadu_ps(r0 + 4);
__m128 _r02 = _mm_loadu_ps(r0 + 8);
__m128 _r10 = _mm_loadu_ps(r1);
__m128 _r11 = _mm_loadu_ps(r1 + 4);
__m128 _r12 = _mm_loadu_ps(r1 + 8);
__m128 _r20 = _mm_loadu_ps(r2);
__m128 _r21 = _mm_loadu_ps(r2 + 4);
__m128 _r22 = _mm_loadu_ps(r2 + 8);
_sum0 = _mm_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k22, _r22, _sum0);
_mm_storeu_ps(outptr0, _sum0);
r0 += 4;
r1 += 4;
r2 += 4;
outptr0 += 4;
}
r0 += 2 * 4;
r1 += 2 * 4;
r2 += 2 * 4;
}
}
}
static void convdw3x3s2_pack4_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const int tailstep = (w - 2 * outw + w) * 4;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
__m128 _bias0 = bias ? _mm_loadu_ps((const float*)bias + g * 4) : _mm_set1_ps(0.f);
const float* k0 = kernel.row(g);
float* outptr0 = out.row(0);
const Mat img0 = bottom_blob.channel(g);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
__m128 _k00 = _mm_loadu_ps(k0);
__m128 _k01 = _mm_loadu_ps(k0 + 4);
__m128 _k02 = _mm_loadu_ps(k0 + 8);
__m128 _k10 = _mm_loadu_ps(k0 + 12);
__m128 _k11 = _mm_loadu_ps(k0 + 16);
__m128 _k12 = _mm_loadu_ps(k0 + 20);
__m128 _k20 = _mm_loadu_ps(k0 + 24);
__m128 _k21 = _mm_loadu_ps(k0 + 28);
__m128 _k22 = _mm_loadu_ps(k0 + 32);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
__m128 _sum0 = _bias0;
__m128 _r00 = _mm_loadu_ps(r0);
__m128 _r01 = _mm_loadu_ps(r0 + 4);
__m128 _r02 = _mm_loadu_ps(r0 + 8);
__m128 _r10 = _mm_loadu_ps(r1);
__m128 _r11 = _mm_loadu_ps(r1 + 4);
__m128 _r12 = _mm_loadu_ps(r1 + 8);
__m128 _r20 = _mm_loadu_ps(r2);
__m128 _r21 = _mm_loadu_ps(r2 + 4);
__m128 _r22 = _mm_loadu_ps(r2 + 8);
_sum0 = _mm_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k22, _r22, _sum0);
__m128 _sum1 = _bias0;
__m128 _r03 = _mm_loadu_ps(r0 + 12);
__m128 _r13 = _mm_loadu_ps(r1 + 12);
__m128 _r23 = _mm_loadu_ps(r2 + 12);
__m128 _r04 = _mm_loadu_ps(r0 + 16);
__m128 _r14 = _mm_loadu_ps(r1 + 16);
__m128 _r24 = _mm_loadu_ps(r2 + 16);
_mm_storeu_ps(outptr0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_k00, _r02, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k01, _r03, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k02, _r04, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k10, _r12, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k11, _r13, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k12, _r14, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k20, _r22, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k21, _r23, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k22, _r24, _sum1);
__m128 _sum2 = _bias0;
__m128 _r05 = _mm_loadu_ps(r0 + 20);
__m128 _r15 = _mm_loadu_ps(r1 + 20);
__m128 _r25 = _mm_loadu_ps(r2 + 20);
__m128 _r06 = _mm_loadu_ps(r0 + 24);
__m128 _r16 = _mm_loadu_ps(r1 + 24);
__m128 _r26 = _mm_loadu_ps(r2 + 24);
_mm_storeu_ps(outptr0 + 4, _sum1);
_sum2 = _mm_comp_fmadd_ps(_k00, _r04, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k01, _r05, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k02, _r06, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k10, _r14, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k11, _r15, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k12, _r16, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k20, _r24, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k21, _r25, _sum2);
_sum2 = _mm_comp_fmadd_ps(_k22, _r26, _sum2);
__m128 _sum3 = _bias0;
__m128 _r07 = _mm_loadu_ps(r0 + 28);
__m128 _r17 = _mm_loadu_ps(r1 + 28);
__m128 _r27 = _mm_loadu_ps(r2 + 28);
__m128 _r08 = _mm_loadu_ps(r0 + 32);
__m128 _r18 = _mm_loadu_ps(r1 + 32);
__m128 _r28 = _mm_loadu_ps(r2 + 32);
_mm_storeu_ps(outptr0 + 8, _sum2);
_sum3 = _mm_comp_fmadd_ps(_k00, _r06, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k01, _r07, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k02, _r08, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k10, _r16, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k11, _r17, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k12, _r18, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k20, _r26, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k21, _r27, _sum3);
_sum3 = _mm_comp_fmadd_ps(_k22, _r28, _sum3);
_mm_storeu_ps(outptr0 + 12, _sum3);
r0 += 2 * 16;
r1 += 2 * 16;
r2 += 2 * 16;
outptr0 += 16;
}
for (; j + 1 < outw; j += 2)
{
__m128 _sum0 = _bias0;
__m128 _r00 = _mm_loadu_ps(r0);
__m128 _r01 = _mm_loadu_ps(r0 + 4);
__m128 _r02 = _mm_loadu_ps(r0 + 8);
__m128 _r10 = _mm_loadu_ps(r1);
__m128 _r11 = _mm_loadu_ps(r1 + 4);
__m128 _r12 = _mm_loadu_ps(r1 + 8);
__m128 _r20 = _mm_loadu_ps(r2);
__m128 _r21 = _mm_loadu_ps(r2 + 4);
__m128 _r22 = _mm_loadu_ps(r2 + 8);
_sum0 = _mm_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k22, _r22, _sum0);
__m128 _sum1 = _bias0;
__m128 _r03 = _mm_loadu_ps(r0 + 12);
__m128 _r13 = _mm_loadu_ps(r1 + 12);
__m128 _r23 = _mm_loadu_ps(r2 + 12);
__m128 _r04 = _mm_loadu_ps(r0 + 16);
__m128 _r14 = _mm_loadu_ps(r1 + 16);
__m128 _r24 = _mm_loadu_ps(r2 + 16);
_mm_storeu_ps(outptr0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_k00, _r02, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k01, _r03, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k02, _r04, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k10, _r12, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k11, _r13, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k12, _r14, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k20, _r22, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k21, _r23, _sum1);
_sum1 = _mm_comp_fmadd_ps(_k22, _r24, _sum1);
_mm_storeu_ps(outptr0 + 4, _sum1);
r0 += 2 * 8;
r1 += 2 * 8;
r2 += 2 * 8;
outptr0 += 8;
}
for (; j < outw; j++)
{
__m128 _sum0 = _bias0;
__m128 _r00 = _mm_loadu_ps(r0);
__m128 _r01 = _mm_loadu_ps(r0 + 4);
__m128 _r02 = _mm_loadu_ps(r0 + 8);
__m128 _r10 = _mm_loadu_ps(r1);
__m128 _r11 = _mm_loadu_ps(r1 + 4);
__m128 _r12 = _mm_loadu_ps(r1 + 8);
__m128 _r20 = _mm_loadu_ps(r2);
__m128 _r21 = _mm_loadu_ps(r2 + 4);
__m128 _r22 = _mm_loadu_ps(r2 + 8);
_sum0 = _mm_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm_comp_fmadd_ps(_k22, _r22, _sum0);
_mm_storeu_ps(outptr0, _sum0);
r0 += 2 * 4;
r1 += 2 * 4;
r2 += 2 * 4;
outptr0 += 4;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
}
}
|
convolution_sgemm_pack1to4_int8.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void im2col_sgemm_pack1to4_int8_sse(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt)
{
#if NCNN_AVX512VNNI && __AVX512F__ && !__AVX512VNNI__
if (ncnn::cpu_support_x86_avx512_vnni())
{
extern void im2col_sgemm_pack1to4_int8_sse_avx512vnni(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt);
im2col_sgemm_pack1to4_int8_sse_avx512vnni(bottom_im2col, top_blob, kernel, opt);
return;
}
#endif
#if NCNN_AVXVNNI && __AVX2__ && !__AVXVNNI__
if (ncnn::cpu_support_x86_avx_vnni())
{
extern void im2col_sgemm_pack1to4_int8_sse_avxvnni(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt);
im2col_sgemm_pack1to4_int8_sse_avxvnni(bottom_im2col, top_blob, kernel, opt);
return;
}
#endif
#if NCNN_AVX2 && __AVX__ && !__AVX2__
if (ncnn::cpu_support_x86_avx2())
{
extern void im2col_sgemm_pack1to4_int8_sse_avx2(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt);
im2col_sgemm_pack1to4_int8_sse_avx2(bottom_im2col, top_blob, kernel, opt);
return;
}
#endif
#if NCNN_XOP && __SSE2__ && !__XOP__
if (ncnn::cpu_support_x86_xop())
{
extern void im2col_sgemm_pack1to4_int8_sse_xop(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt);
im2col_sgemm_pack1to4_int8_sse_xop(bottom_im2col, top_blob, kernel, opt);
return;
}
#endif
// Mat bottom_im2col(size, maxk, inch, 8u, 8, opt.workspace_allocator);
const int size = bottom_im2col.w;
const int maxk = bottom_im2col.h;
const int inch = bottom_im2col.c;
const int outch = top_blob.c;
// permute
Mat tmp;
if (inch >= 4)
{
#if __AVX2__
if (size >= 4)
tmp.create(4 * maxk, inch / 4 + inch % 4, size / 4 + (size % 4) / 2 + size % 2, 4u, 4, opt.workspace_allocator);
else if (size >= 2)
tmp.create(2 * maxk, inch / 4 + inch % 4, size / 2 + size % 2, 4u, 4, opt.workspace_allocator);
else
tmp.create(maxk, inch / 4 + inch % 4, size, 4u, 4, opt.workspace_allocator);
#else
if (size >= 2)
tmp.create(2 * maxk, inch / 4 + inch % 4, size / 2 + size % 2, 4u, 4, opt.workspace_allocator);
else
tmp.create(maxk, inch / 4 + inch % 4, size, 4u, 4, opt.workspace_allocator);
#endif
}
else
{
#if __AVX2__
if (size >= 4)
tmp.create(4 * maxk, inch, size / 4 + (size % 4) / 2 + size % 2, 1u, 1, opt.workspace_allocator);
else if (size >= 2)
tmp.create(2 * maxk, inch, size / 2 + size % 2, 1u, 1, opt.workspace_allocator);
else
tmp.create(maxk, inch, size, 1u, 1, opt.workspace_allocator);
#else
if (size >= 2)
tmp.create(2 * maxk, inch, size / 2 + size % 2, 1u, 1, opt.workspace_allocator);
else
tmp.create(maxk, inch, size, 1u, 1, opt.workspace_allocator);
#endif
}
{
#if __AVX2__
int remain_size_start = 0;
int nn_size = size >> 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 4;
signed char* tmpptr = tmp.channel(i / 4);
int q = 0;
for (; q + 3 < inch; q += 4)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
const signed char* img1 = (const signed char*)bottom_im2col.channel(q + 1) + i;
const signed char* img2 = (const signed char*)bottom_im2col.channel(q + 2) + i;
const signed char* img3 = (const signed char*)bottom_im2col.channel(q + 3) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
tmpptr[1] = img1[0];
tmpptr[2] = img2[0];
tmpptr[3] = img3[0];
tmpptr[4] = img0[1];
tmpptr[5] = img1[1];
tmpptr[6] = img2[1];
tmpptr[7] = img3[1];
tmpptr[8] = img0[2];
tmpptr[9] = img1[2];
tmpptr[10] = img2[2];
tmpptr[11] = img3[2];
tmpptr[12] = img0[3];
tmpptr[13] = img1[3];
tmpptr[14] = img2[3];
tmpptr[15] = img3[3];
tmpptr += 16;
img0 += size;
img1 += size;
img2 += size;
img3 += size;
}
}
for (; q < inch; q++)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
tmpptr[1] = img0[1];
tmpptr[2] = img0[2];
tmpptr[3] = img0[3];
tmpptr += 4;
img0 += size;
}
}
}
remain_size_start += nn_size << 2;
nn_size = (size - remain_size_start) >> 1;
#else
int remain_size_start = 0;
int nn_size = (size - remain_size_start) >> 1;
#endif
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 2;
#if __AVX2__
signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2);
#else
signed char* tmpptr = tmp.channel(i / 2);
#endif
int q = 0;
for (; q + 3 < inch; q += 4)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
const signed char* img1 = (const signed char*)bottom_im2col.channel(q + 1) + i;
const signed char* img2 = (const signed char*)bottom_im2col.channel(q + 2) + i;
const signed char* img3 = (const signed char*)bottom_im2col.channel(q + 3) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
tmpptr[1] = img1[0];
tmpptr[2] = img2[0];
tmpptr[3] = img3[0];
tmpptr[4] = img0[1];
tmpptr[5] = img1[1];
tmpptr[6] = img2[1];
tmpptr[7] = img3[1];
tmpptr += 8;
img0 += size;
img1 += size;
img2 += size;
img3 += size;
}
}
for (; q < inch; q++)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
tmpptr[1] = img0[1];
tmpptr += 2;
img0 += size;
}
}
}
remain_size_start += nn_size << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = remain_size_start; i < size; i++)
{
#if __AVX2__
signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2 + i % 2);
#else
signed char* tmpptr = tmp.channel(i / 2 + i % 2);
#endif
int q = 0;
for (; q + 3 < inch; q += 4)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
const signed char* img1 = (const signed char*)bottom_im2col.channel(q + 1) + i;
const signed char* img2 = (const signed char*)bottom_im2col.channel(q + 2) + i;
const signed char* img3 = (const signed char*)bottom_im2col.channel(q + 3) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
tmpptr[1] = img1[0];
tmpptr[2] = img2[0];
tmpptr[3] = img3[0];
tmpptr += 4;
img0 += size;
img1 += size;
img2 += size;
img3 += size;
}
}
for (; q < inch; q++)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
tmpptr += 1;
img0 += size;
}
}
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
int* outptr0 = top_blob.channel(p);
int i = 0;
#if __AVX2__
for (; i + 3 < size; i += 4)
{
const signed char* tmpptr = tmp.channel(i / 4);
const signed char* kptr0 = kernel.channel(p);
int nn4 = (inch / 4) * maxk;
int nn1 = (inch % 4) * maxk;
__m256i _sum00_12 = _mm256_setzero_si256();
__m256i _sum20_32 = _mm256_setzero_si256();
if (nn4 > 0)
{
#if __AVXVNNI__ || __AVX512VNNI__
__m256i _sum10_02 = _mm256_setzero_si256();
__m256i _sum30_22 = _mm256_setzero_si256();
#else
__m256i _sum10_02 = _mm256_setzero_si256();
__m256i _sum01_13 = _mm256_setzero_si256();
__m256i _sum11_03 = _mm256_setzero_si256();
__m256i _sum30_22 = _mm256_setzero_si256();
__m256i _sum21_33 = _mm256_setzero_si256();
__m256i _sum31_23 = _mm256_setzero_si256();
#endif
int j = 0;
for (; j < nn4; j++)
{
__m128i _val0123 = _mm_loadu_si128((const __m128i*)tmpptr);
__m256i _val0123_16 = _mm256_cvtepi8_epi16(_val0123);
__m256i _val01_16 = _mm256_permute4x64_epi64(_val0123_16, _MM_SHUFFLE(1, 1, 0, 0));
__m256i _val23_16 = _mm256_permute4x64_epi64(_val0123_16, _MM_SHUFFLE(3, 3, 2, 2));
__m128i _w01 = _mm_loadu_si128((const __m128i*)kptr0);
__m256i _w01_16 = _mm256_cvtepi8_epi16(_w01);
__m256i _val10_16 = _mm256_permute4x64_epi64(_val01_16, 78);
__m256i _val32_16 = _mm256_permute4x64_epi64(_val23_16, 78);
#if __AVXVNNI__ || __AVX512VNNI__
_sum00_12 = _mm256_dpwssd_epi32(_sum00_12, _val01_16, _w01_16);
_sum10_02 = _mm256_dpwssd_epi32(_sum10_02, _val10_16, _w01_16);
_sum20_32 = _mm256_dpwssd_epi32(_sum20_32, _val23_16, _w01_16);
_sum30_22 = _mm256_dpwssd_epi32(_sum30_22, _val32_16, _w01_16);
#else
__m256i _sl00_11 = _mm256_mullo_epi16(_val01_16, _w01_16);
__m256i _sh00_11 = _mm256_mulhi_epi16(_val01_16, _w01_16);
__m256i _sl10_01 = _mm256_mullo_epi16(_val10_16, _w01_16);
__m256i _sh10_01 = _mm256_mulhi_epi16(_val10_16, _w01_16);
__m256i _sl20_31 = _mm256_mullo_epi16(_val23_16, _w01_16);
__m256i _sh20_31 = _mm256_mulhi_epi16(_val23_16, _w01_16);
__m256i _sl30_21 = _mm256_mullo_epi16(_val32_16, _w01_16);
__m256i _sh30_21 = _mm256_mulhi_epi16(_val32_16, _w01_16);
_sum00_12 = _mm256_add_epi32(_sum00_12, _mm256_unpacklo_epi16(_sl00_11, _sh00_11));
_sum10_02 = _mm256_add_epi32(_sum10_02, _mm256_unpacklo_epi16(_sl10_01, _sh10_01));
_sum01_13 = _mm256_add_epi32(_sum01_13, _mm256_unpackhi_epi16(_sl00_11, _sh00_11));
_sum11_03 = _mm256_add_epi32(_sum11_03, _mm256_unpackhi_epi16(_sl10_01, _sh10_01));
_sum20_32 = _mm256_add_epi32(_sum20_32, _mm256_unpacklo_epi16(_sl20_31, _sh20_31));
_sum30_22 = _mm256_add_epi32(_sum30_22, _mm256_unpacklo_epi16(_sl30_21, _sh30_21));
_sum21_33 = _mm256_add_epi32(_sum21_33, _mm256_unpackhi_epi16(_sl20_31, _sh20_31));
_sum31_23 = _mm256_add_epi32(_sum31_23, _mm256_unpackhi_epi16(_sl30_21, _sh30_21));
#endif
tmpptr += 16;
kptr0 += 16;
}
#if __AVXVNNI__ || __AVX512VNNI__
_sum00_12 = _mm256_hadd_epi32(_sum00_12, _sum10_02);
_sum20_32 = _mm256_hadd_epi32(_sum20_32, _sum30_22);
_sum00_12 = _mm256_permute4x64_epi64(_sum00_12, _MM_SHUFFLE(2, 1, 3, 0));
_sum20_32 = _mm256_permute4x64_epi64(_sum20_32, _MM_SHUFFLE(2, 1, 3, 0));
#else
// transpose 4x8
{
__m256i _tmp0, _tmp1, _tmp2, _tmp3;
_tmp0 = _mm256_unpacklo_epi32(_sum00_12, _sum10_02);
_tmp1 = _mm256_unpacklo_epi32(_sum01_13, _sum11_03);
_tmp2 = _mm256_unpackhi_epi32(_sum00_12, _sum10_02);
_tmp3 = _mm256_unpackhi_epi32(_sum01_13, _sum11_03);
_sum00_12 = _mm256_unpacklo_epi64(_tmp0, _tmp1);
_sum10_02 = _mm256_unpackhi_epi64(_tmp0, _tmp1);
_sum01_13 = _mm256_unpacklo_epi64(_tmp2, _tmp3);
_sum11_03 = _mm256_unpackhi_epi64(_tmp2, _tmp3);
}
{
__m256i _tmp0, _tmp1, _tmp2, _tmp3;
_tmp0 = _mm256_unpacklo_epi32(_sum20_32, _sum30_22);
_tmp1 = _mm256_unpacklo_epi32(_sum21_33, _sum31_23);
_tmp2 = _mm256_unpackhi_epi32(_sum20_32, _sum30_22);
_tmp3 = _mm256_unpackhi_epi32(_sum21_33, _sum31_23);
_sum20_32 = _mm256_unpacklo_epi64(_tmp0, _tmp1);
_sum30_22 = _mm256_unpackhi_epi64(_tmp0, _tmp1);
_sum21_33 = _mm256_unpacklo_epi64(_tmp2, _tmp3);
_sum31_23 = _mm256_unpackhi_epi64(_tmp2, _tmp3);
}
_sum00_12 = _mm256_add_epi32(_sum00_12, _sum10_02);
_sum01_13 = _mm256_add_epi32(_sum01_13, _sum11_03);
_sum00_12 = _mm256_add_epi32(_sum00_12, _sum01_13);
_sum20_32 = _mm256_add_epi32(_sum20_32, _sum30_22);
_sum21_33 = _mm256_add_epi32(_sum21_33, _sum31_23);
_sum20_32 = _mm256_add_epi32(_sum20_32, _sum21_33);
__m256i _perm_mask = _mm256_set_epi32(6, 4, 3, 1, 7, 5, 2, 0);
_sum00_12 = _mm256_permutevar8x32_epi32(_sum00_12, _perm_mask);
_sum20_32 = _mm256_permutevar8x32_epi32(_sum20_32, _perm_mask);
#endif
}
__m128i _sum00 = _mm256_extracti128_si256(_sum00_12, 0);
__m128i _sum10 = _mm256_extracti128_si256(_sum00_12, 1);
__m128i _sum20 = _mm256_extracti128_si256(_sum20_32, 0);
__m128i _sum30 = _mm256_extracti128_si256(_sum20_32, 1);
int j = 0;
for (; j < nn1; j++)
{
__m128i _val01 = _mm_set_epi16(tmpptr[1], tmpptr[1], tmpptr[1], tmpptr[1], tmpptr[0], tmpptr[0], tmpptr[0], tmpptr[0]);
__m128i _val23 = _mm_set_epi16(tmpptr[3], tmpptr[3], tmpptr[3], tmpptr[3], tmpptr[2], tmpptr[2], tmpptr[2], tmpptr[2]);
__m128i _w0123 = _mm_set_epi16(kptr0[3], kptr0[2], kptr0[1], kptr0[0], kptr0[3], kptr0[2], kptr0[1], kptr0[0]);
__m128i _sl00 = _mm_mullo_epi16(_val01, _w0123);
__m128i _sh00 = _mm_mulhi_epi16(_val01, _w0123);
__m128i _sl10 = _mm_mullo_epi16(_val23, _w0123);
__m128i _sh10 = _mm_mulhi_epi16(_val23, _w0123);
_sum00 = _mm_add_epi32(_sum00, _mm_unpacklo_epi16(_sl00, _sh00));
_sum10 = _mm_add_epi32(_sum10, _mm_unpackhi_epi16(_sl00, _sh00));
_sum20 = _mm_add_epi32(_sum20, _mm_unpacklo_epi16(_sl10, _sh10));
_sum30 = _mm_add_epi32(_sum30, _mm_unpackhi_epi16(_sl10, _sh10));
tmpptr += 4;
kptr0 += 4;
}
_mm_storeu_si128((__m128i*)outptr0, _sum00);
_mm_storeu_si128((__m128i*)(outptr0 + 4), _sum10);
_mm_storeu_si128((__m128i*)(outptr0 + 8), _sum20);
_mm_storeu_si128((__m128i*)(outptr0 + 12), _sum30);
outptr0 += 16;
}
#endif
for (; i + 1 < size; i += 2)
{
#if __AVX2__
const signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2);
#else
const signed char* tmpptr = tmp.channel(i / 2);
#endif
const signed char* kptr0 = kernel.channel(p);
int nn4 = (inch / 4) * maxk;
int nn1 = (inch % 4) * maxk;
#if __AVX2__
__m256i _sum00_12 = _mm256_setzero_si256();
#else
__m128i _sum00 = _mm_setzero_si128();
__m128i _sum10 = _mm_setzero_si128();
#endif
if (nn4 > 0)
{
#if __AVX2__
#if __AVXVNNI__ || __AVX512VNNI__
__m256i _sum10_02 = _mm256_setzero_si256();
#else
__m256i _sum10_02 = _mm256_setzero_si256();
__m256i _sum01_13 = _mm256_setzero_si256();
__m256i _sum11_03 = _mm256_setzero_si256();
#endif
#else
#if __XOP__
__m128i _sum01 = _mm_setzero_si128();
__m128i _sum11 = _mm_setzero_si128();
#else
__m128i _sum01 = _mm_setzero_si128();
__m128i _sum02 = _mm_setzero_si128();
__m128i _sum03 = _mm_setzero_si128();
__m128i _sum11 = _mm_setzero_si128();
__m128i _sum12 = _mm_setzero_si128();
__m128i _sum13 = _mm_setzero_si128();
#endif
#endif
int j = 0;
for (; j < nn4; j++)
{
#if __AVX2__
__m128i _val01 = _mm_loadu_si128((const __m128i*)tmpptr);
__m256i _val01_16 = _mm256_cvtepi8_epi16(_val01);
_val01_16 = _mm256_permute4x64_epi64(_val01_16, _MM_SHUFFLE(1, 1, 0, 0));
__m128i _w01 = _mm_loadu_si128((const __m128i*)kptr0);
__m256i _w01_16 = _mm256_cvtepi8_epi16(_w01);
__m256i _val10_16 = _mm256_permute4x64_epi64(_val01_16, 78);
#if __AVXVNNI__ || __AVX512VNNI__
_sum00_12 = _mm256_dpwssd_epi32(_sum00_12, _val01_16, _w01_16);
_sum10_02 = _mm256_dpwssd_epi32(_sum10_02, _val10_16, _w01_16);
#else
__m256i _sl00_11 = _mm256_mullo_epi16(_val01_16, _w01_16);
__m256i _sh00_11 = _mm256_mulhi_epi16(_val01_16, _w01_16);
__m256i _sl10_01 = _mm256_mullo_epi16(_val10_16, _w01_16);
__m256i _sh10_01 = _mm256_mulhi_epi16(_val10_16, _w01_16);
_sum00_12 = _mm256_add_epi32(_sum00_12, _mm256_unpacklo_epi16(_sl00_11, _sh00_11));
_sum10_02 = _mm256_add_epi32(_sum10_02, _mm256_unpacklo_epi16(_sl10_01, _sh10_01));
_sum01_13 = _mm256_add_epi32(_sum01_13, _mm256_unpackhi_epi16(_sl00_11, _sh00_11));
_sum11_03 = _mm256_add_epi32(_sum11_03, _mm256_unpackhi_epi16(_sl10_01, _sh10_01));
#endif
#else
__m128i _val01 = _mm_loadl_epi64((const __m128i*)tmpptr);
#if __SSE4_1__
_val01 = _mm_cvtepi8_epi16(_val01);
#else
__m128i _extval01 = _mm_cmpgt_epi8(_mm_setzero_si128(), _val01);
_val01 = _mm_unpacklo_epi8(_val01, _extval01);
#endif
__m128i _val0 = _mm_shuffle_epi32(_val01, _MM_SHUFFLE(1, 0, 1, 0));
__m128i _val1 = _mm_shuffle_epi32(_val01, _MM_SHUFFLE(3, 2, 3, 2));
__m128i _w01 = _mm_loadu_si128((const __m128i*)kptr0);
__m128i _extw01 = _mm_cmpgt_epi8(_mm_setzero_si128(), _w01);
__m128i _w0 = _mm_unpacklo_epi8(_w01, _extw01);
__m128i _w1 = _mm_unpackhi_epi8(_w01, _extw01);
#if __XOP__
_sum00 = _mm_maddd_epi16(_val0, _w0, _sum00);
_sum01 = _mm_maddd_epi16(_val0, _w1, _sum01);
_sum10 = _mm_maddd_epi16(_val1, _w0, _sum10);
_sum11 = _mm_maddd_epi16(_val1, _w1, _sum11);
#else
__m128i _sl00 = _mm_mullo_epi16(_val0, _w0);
__m128i _sh00 = _mm_mulhi_epi16(_val0, _w0);
__m128i _sl01 = _mm_mullo_epi16(_val0, _w1);
__m128i _sh01 = _mm_mulhi_epi16(_val0, _w1);
__m128i _sl10 = _mm_mullo_epi16(_val1, _w0);
__m128i _sh10 = _mm_mulhi_epi16(_val1, _w0);
__m128i _sl11 = _mm_mullo_epi16(_val1, _w1);
__m128i _sh11 = _mm_mulhi_epi16(_val1, _w1);
_sum00 = _mm_add_epi32(_sum00, _mm_unpacklo_epi16(_sl00, _sh00));
_sum01 = _mm_add_epi32(_sum01, _mm_unpackhi_epi16(_sl00, _sh00));
_sum02 = _mm_add_epi32(_sum02, _mm_unpacklo_epi16(_sl01, _sh01));
_sum03 = _mm_add_epi32(_sum03, _mm_unpackhi_epi16(_sl01, _sh01));
_sum10 = _mm_add_epi32(_sum10, _mm_unpacklo_epi16(_sl10, _sh10));
_sum11 = _mm_add_epi32(_sum11, _mm_unpackhi_epi16(_sl10, _sh10));
_sum12 = _mm_add_epi32(_sum12, _mm_unpacklo_epi16(_sl11, _sh11));
_sum13 = _mm_add_epi32(_sum13, _mm_unpackhi_epi16(_sl11, _sh11));
#endif
#endif
tmpptr += 8;
kptr0 += 16;
}
#if __AVX2__
#if __AVXVNNI__ || __AVX512VNNI__
_sum00_12 = _mm256_hadd_epi32(_sum00_12, _sum10_02);
_sum00_12 = _mm256_permute4x64_epi64(_sum00_12, _MM_SHUFFLE(2, 1, 3, 0));
#else
// transpose 4x8
{
__m256i _tmp0, _tmp1, _tmp2, _tmp3;
_tmp0 = _mm256_unpacklo_epi32(_sum00_12, _sum10_02);
_tmp1 = _mm256_unpacklo_epi32(_sum01_13, _sum11_03);
_tmp2 = _mm256_unpackhi_epi32(_sum00_12, _sum10_02);
_tmp3 = _mm256_unpackhi_epi32(_sum01_13, _sum11_03);
_sum00_12 = _mm256_unpacklo_epi64(_tmp0, _tmp1);
_sum10_02 = _mm256_unpackhi_epi64(_tmp0, _tmp1);
_sum01_13 = _mm256_unpacklo_epi64(_tmp2, _tmp3);
_sum11_03 = _mm256_unpackhi_epi64(_tmp2, _tmp3);
}
_sum00_12 = _mm256_add_epi32(_sum00_12, _sum10_02);
_sum01_13 = _mm256_add_epi32(_sum01_13, _sum11_03);
_sum00_12 = _mm256_add_epi32(_sum00_12, _sum01_13);
__m256i _perm_mask = _mm256_set_epi32(6, 4, 3, 1, 7, 5, 2, 0);
_sum00_12 = _mm256_permutevar8x32_epi32(_sum00_12, _perm_mask);
#endif
#else
#if __XOP__
_sum00 = _mm_hadd_epi32(_sum00, _sum01);
_sum10 = _mm_hadd_epi32(_sum10, _sum11);
#else
// transpose 4x4
{
__m128i _tmp0, _tmp1, _tmp2, _tmp3;
_tmp0 = _mm_unpacklo_epi32(_sum00, _sum01);
_tmp1 = _mm_unpacklo_epi32(_sum02, _sum03);
_tmp2 = _mm_unpackhi_epi32(_sum00, _sum01);
_tmp3 = _mm_unpackhi_epi32(_sum02, _sum03);
_sum00 = _mm_unpacklo_epi64(_tmp0, _tmp1);
_sum01 = _mm_unpackhi_epi64(_tmp0, _tmp1);
_sum02 = _mm_unpacklo_epi64(_tmp2, _tmp3);
_sum03 = _mm_unpackhi_epi64(_tmp2, _tmp3);
}
{
__m128i _tmp0, _tmp1, _tmp2, _tmp3;
_tmp0 = _mm_unpacklo_epi32(_sum10, _sum11);
_tmp1 = _mm_unpacklo_epi32(_sum12, _sum13);
_tmp2 = _mm_unpackhi_epi32(_sum10, _sum11);
_tmp3 = _mm_unpackhi_epi32(_sum12, _sum13);
_sum10 = _mm_unpacklo_epi64(_tmp0, _tmp1);
_sum11 = _mm_unpackhi_epi64(_tmp0, _tmp1);
_sum12 = _mm_unpacklo_epi64(_tmp2, _tmp3);
_sum13 = _mm_unpackhi_epi64(_tmp2, _tmp3);
}
_sum00 = _mm_add_epi32(_sum00, _sum01);
_sum02 = _mm_add_epi32(_sum02, _sum03);
_sum10 = _mm_add_epi32(_sum10, _sum11);
_sum12 = _mm_add_epi32(_sum12, _sum13);
_sum00 = _mm_add_epi32(_sum00, _sum02);
_sum10 = _mm_add_epi32(_sum10, _sum12);
#endif
#endif
}
#if __AVX2__
__m128i _sum00 = _mm256_extracti128_si256(_sum00_12, 0);
__m128i _sum10 = _mm256_extracti128_si256(_sum00_12, 1);
#endif
int j = 0;
for (; j < nn1; j++)
{
__m128i _val = _mm_set_epi16(tmpptr[1], tmpptr[1], tmpptr[1], tmpptr[1], tmpptr[0], tmpptr[0], tmpptr[0], tmpptr[0]);
__m128i _w0123 = _mm_loadl_epi64((const __m128i*)kptr0);
#if __SSE4_1__
_w0123 = _mm_cvtepi8_epi16(_w0123);
#else
__m128i _extw0123 = _mm_cmpgt_epi8(_mm_setzero_si128(), _w0123);
_w0123 = _mm_unpacklo_epi8(_w0123, _extw0123);
#endif
_w0123 = _mm_shuffle_epi32(_w0123, _MM_SHUFFLE(1, 0, 1, 0));
__m128i _sl00 = _mm_mullo_epi16(_val, _w0123);
__m128i _sh00 = _mm_mulhi_epi16(_val, _w0123);
_sum00 = _mm_add_epi32(_sum00, _mm_unpacklo_epi16(_sl00, _sh00));
_sum10 = _mm_add_epi32(_sum10, _mm_unpackhi_epi16(_sl00, _sh00));
tmpptr += 2;
kptr0 += 4;
}
_mm_storeu_si128((__m128i*)outptr0, _sum00);
_mm_storeu_si128((__m128i*)(outptr0 + 4), _sum10);
outptr0 += 8;
}
for (; i < size; i++)
{
#if __AVX2__
const signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2 + i % 2);
#else
const signed char* tmpptr = tmp.channel(i / 2 + i % 2);
#endif
const signed char* kptr0 = kernel.channel(p);
int nn4 = (inch / 4) * maxk;
int nn1 = (inch % 4) * maxk;
__m128i _sum0 = _mm_setzero_si128();
if (nn4 > 0)
{
__m128i _sum1 = _mm_setzero_si128();
__m128i _sum2 = _mm_setzero_si128();
__m128i _sum3 = _mm_setzero_si128();
int j = 0;
for (; j < nn4; j++)
{
__m128i _val01 = _mm_loadl_epi64((const __m128i*)tmpptr);
#if __SSE4_1__
__m128i _val0 = _mm_cvtepi8_epi16(_val01);
#else
__m128i _extval01 = _mm_cmpgt_epi8(_mm_setzero_si128(), _val01);
__m128i _val0 = _mm_unpacklo_epi8(_val01, _extval01);
#endif
_val0 = _mm_shuffle_epi32(_val0, _MM_SHUFFLE(1, 0, 1, 0));
__m128i _w01 = _mm_loadu_si128((const __m128i*)kptr0);
__m128i _extw01 = _mm_cmpgt_epi8(_mm_setzero_si128(), _w01);
__m128i _w0 = _mm_unpacklo_epi8(_w01, _extw01);
__m128i _w1 = _mm_unpackhi_epi8(_w01, _extw01);
__m128i _sl00 = _mm_mullo_epi16(_val0, _w0);
__m128i _sh00 = _mm_mulhi_epi16(_val0, _w0);
__m128i _sl01 = _mm_mullo_epi16(_val0, _w1);
__m128i _sh01 = _mm_mulhi_epi16(_val0, _w1);
_sum0 = _mm_add_epi32(_sum0, _mm_unpacklo_epi16(_sl00, _sh00));
_sum1 = _mm_add_epi32(_sum1, _mm_unpackhi_epi16(_sl00, _sh00));
_sum2 = _mm_add_epi32(_sum2, _mm_unpacklo_epi16(_sl01, _sh01));
_sum3 = _mm_add_epi32(_sum3, _mm_unpackhi_epi16(_sl01, _sh01));
tmpptr += 4;
kptr0 += 16;
}
// transpose 4x4
{
__m128i _tmp0, _tmp1, _tmp2, _tmp3;
_tmp0 = _mm_unpacklo_epi32(_sum0, _sum1);
_tmp1 = _mm_unpacklo_epi32(_sum2, _sum3);
_tmp2 = _mm_unpackhi_epi32(_sum0, _sum1);
_tmp3 = _mm_unpackhi_epi32(_sum2, _sum3);
_sum0 = _mm_unpacklo_epi64(_tmp0, _tmp1);
_sum1 = _mm_unpackhi_epi64(_tmp0, _tmp1);
_sum2 = _mm_unpacklo_epi64(_tmp2, _tmp3);
_sum3 = _mm_unpackhi_epi64(_tmp2, _tmp3);
}
_sum0 = _mm_add_epi32(_sum0, _sum1);
_sum2 = _mm_add_epi32(_sum2, _sum3);
_sum0 = _mm_add_epi32(_sum0, _sum2);
}
int j = 0;
for (; j < nn1; j++)
{
__m128i _val = _mm_set1_epi16(tmpptr[0]);
__m128i _w0123 = _mm_loadl_epi64((const __m128i*)kptr0);
#if __SSE4_1__
_w0123 = _mm_cvtepi8_epi16(_w0123);
#else
__m128i _extw0123 = _mm_cmpgt_epi8(_mm_setzero_si128(), _w0123);
_w0123 = _mm_unpacklo_epi8(_w0123, _extw0123);
#endif
__m128i _sl00 = _mm_mullo_epi16(_val, _w0123);
__m128i _sh00 = _mm_mulhi_epi16(_val, _w0123);
_sum0 = _mm_add_epi32(_sum0, _mm_unpacklo_epi16(_sl00, _sh00));
tmpptr += 1;
kptr0 += 4;
}
_mm_storeu_si128((__m128i*)outptr0, _sum0);
outptr0 += 4;
}
}
}
static void convolution_im2col_sgemm_transform_kernel_pack1to4_int8_sse(const Mat& _kernel, Mat& kernel_tm, int inch, int outch, int kernel_w, int kernel_h)
{
const int maxk = kernel_w * kernel_h;
// interleave
// src = maxk-inch-outch
// dst = 4a-4b-maxk-inch/4a-outch/4b
Mat kernel = _kernel.reshape(maxk, inch, outch);
if (inch >= 4)
kernel_tm.create(16 * maxk, inch / 4 + inch % 4, outch / 4, (size_t)1u);
else
kernel_tm.create(4 * maxk, inch, outch / 4, (size_t)1u);
for (int q = 0; q + 3 < outch; q += 4)
{
signed char* g00 = kernel_tm.channel(q / 4);
int p = 0;
for (; p + 3 < inch; p += 4)
{
for (int k = 0; k < maxk; k++)
{
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 4; j++)
{
const signed char* k00 = kernel.channel(q + i).row<const signed char>(p + j);
g00[0] = k00[k];
g00++;
}
}
}
}
for (; p < inch; p++)
{
for (int k = 0; k < maxk; k++)
{
for (int i = 0; i < 4; i++)
{
const signed char* k00 = kernel.channel(q + i).row<const signed char>(p);
g00[0] = k00[k];
g00++;
}
}
}
}
}
static void convolution_im2col_sgemm_pack1to4_int8_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, const Option& opt)
{
int w = bottom_blob.w;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
const int size = outw * outh;
const int maxk = kernel_w * kernel_h;
// im2col
Mat bottom_im2col(size, maxk, inch, 1u, 1, opt.workspace_allocator);
{
const int gap = w * stride_h - outw * stride_w;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < inch; p++)
{
const Mat img = bottom_blob.channel(p);
signed char* ptr = bottom_im2col.channel(p);
for (int u = 0; u < kernel_h; u++)
{
for (int v = 0; v < kernel_w; v++)
{
const signed char* sptr = img.row<const signed char>(dilation_h * u) + dilation_w * v;
for (int i = 0; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
ptr[0] = sptr[0];
ptr[1] = sptr[stride_w];
ptr[2] = sptr[stride_w * 2];
ptr[3] = sptr[stride_w * 3];
sptr += stride_w * 4;
ptr += 4;
}
for (; j + 1 < outw; j += 2)
{
ptr[0] = sptr[0];
ptr[1] = sptr[stride_w];
sptr += stride_w * 2;
ptr += 2;
}
for (; j < outw; j++)
{
ptr[0] = sptr[0];
sptr += stride_w;
ptr += 1;
}
sptr += gap;
}
}
}
}
}
im2col_sgemm_pack1to4_int8_sse(bottom_im2col, top_blob, kernel, opt);
}
|
GB_unop__identity_int16_bool.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__identity_int16_bool
// op(A') function: GB_unop_tran__identity_int16_bool
// C type: int16_t
// A type: bool
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
bool
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
int16_t z = (int16_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
bool aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int16_t z = (int16_t) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT16 || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_int16_bool
(
int16_t *Cx, // Cx and Ax may be aliased
const bool *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
bool aij = Ax [p] ;
int16_t z = (int16_t) aij ;
Cx [p] = z ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__identity_int16_bool
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
DRB095-doall2-taskloop-orig-yes.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
Two-dimensional array computation:
Only one loop is associated with omp taskloop.
The inner loop's loop iteration variable will be shared if it is shared in the enclosing context.
Data race pairs (we allow multiple ones to preserve the pattern):
Write_set = {j@69:14, j@69:30}
Read_set = {j@69:21, j@69:30, j@70:16}
Any pair from Write_set vs. Write_set and Write_set vs. Read_set is a data race pair.
*/
#include <stdio.h>
#include <omp.h>
int a[100][100];
int main()
{
int i;
int j;
#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;
}
}
#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] += 1;
}
}
printf("a[50][50]=%d\n",a[50][50]);
return 0;
}
|
DRB030-truedep1-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.
*/
/*
This program has data races due to true dependence within a loop.
Data race pair: a[i+1]@68:5 vs. a[i]@68:12
*/
#include <stdlib.h>
#include <stdio.h>
int main(int argc, char* argv[])
{
int i;
int len=100;
if (argc>1)
len = atoi(argv[1]);
int a[len];
#pragma omp parallel for private(i)
for (i=0;i<len;i++)
a[i]=i;
for (i=0;i<len-1;i++)
a[i+1]=a[i]+1;
for (i=0;i<len;i++)
printf("%d\n", a[i]);
return 0;
}
|
cscm.h | #ifndef CELL_MAPPING_CPP_CSCM_H
#define CELL_MAPPING_CPP_CSCM_H
#include "scm.h"
namespace cm {
template <class IDType>
class CellTree {
private:
IDType cmid; /// Cell mapping ID of the SCM, which this path belongs to
std::vector<IDType> cells;
CellState state;
IDType imageCell; /// This image always belongs to the another-cmid SCM solution
IDType imageCmid; // TODO: Rename CMID to ClasterID
public:
CellTree() {
state = CellState::Untouched;
cmid = 0;
imageCell = 0;
}
CellTree(IDType cmid,
const std::vector<IDType> &cells,
const CellState &state,
IDType imageCell) : cmid(cmid), cells(cells), state(state), imageCell(imageCell) {
/* Nothing to do yet */
}
CellTree(IDType cmid,
const std::vector<IDType> &cells,
const CellState &state) : cmid(cmid), cells(cells), state(state) {
/* Nothing to do yet */
}
void setClusterID(IDType cmid) {
CellTree::cmid = cmid;
}
void setCells(const std::vector<IDType> &cells) {
CellTree::cells = cells;
}
void setState(const CellState &state) {
CellTree::state = state;
}
IDType getClusterID() const {
return cmid;
}
const std::vector<IDType> &getCells() const {
return cells;
}
const CellState &getState() const {
return state;
}
IDType getImageCell() const {
return imageCell;
}
void setImageCell(IDType imageCell) {
CellTree::imageCell = imageCell;
}
IDType getImageCmid() const {
return imageCmid;
}
void setImageCmid(IDType imageCmid) {
CellTree::imageCmid = imageCmid;
}
};
template <class CellType, class IDType, class StateVectorType>
class ClusteredSCM {
private:
SCM<CellType, IDType, StateVectorType>* scm1;
SCM<CellType, IDType, StateVectorType>* scm2;
std::vector<CellTree<IDType>> cellTrees;
void join_stage1(DynamicalSystemBase<StateVectorType>* systemp,
SCM<CellType, IDType, StateVectorType>* scm1p,
SCM<CellType, IDType, StateVectorType>* scm2p,
std::vector<IDType>& sinkDoA1) {
/**
* STAGE 1:
* - Enumerate all cellTrees in the sink DoAs,
* - Tag those cellTrees processed, which lead to
* - the SINK, or
* - to the other SCM's non-0 group number PG/TG
* - Enumerate cellTrees which need to be investigated in Stage 2
*/
IDType cmid1 = scm1p->getCss().getCell(0).getClusterID();
IDType cmid2 = scm2p->getCss().getCell(0).getClusterID();
IDType z; IDType imz; IDType cmidz;
std::vector<IDType> seq;
CellTree<IDType> cellTree;
for(size_t i=0; i<sinkDoA1.size(); i++) {
seq.resize(0);
z = sinkDoA1[i];
// Skip cell if already processed
CellState stz = scm1p->getCss().getCell(z).getState();
if (stz == CellState::Processed || stz == CellState::UnderProcessing) {
// skip cell
} else {
// State is UNTOUCHED
seq.push_back(z);
// Generate sequence from this cell until it leaves its own SCM's state space
bool left = false;
while(!left) {
imz = scm1p->getCss().getCell(z).getImage();
if (imz != 0) {
// Image is not the sink cell, we are still in the original CSS
cmidz = scm1p->getCss().getCell(imz).getClusterID();
if (cmidz == cmid1) {
// Check for cell state before accumulating cellTrees
CellState stimz = scm1p->getCss().getCell(imz).getState();
if(stimz == CellState::UnderProcessing) {
left = true;
// Get the index of the celltree which contains the touched cell
size_t ct = scm1p->getCss().getCell(imz).getCellTreeID();
// Tag cells
for (size_t k = 0; k < seq.size(); k++) {
if (scm1p->getCss().getCell(seq[k]).getState() == CellState::UnderProcessing) {
//cout << "ERROR while appending!\n";
}
scm1p->getCss().getCell(seq[k]).setState(CellState::UnderProcessing);
scm1p->getCss().getCell(seq[k]).setCellTreeID(ct);
}
// Append current seq to that cellpath
std::vector<IDType> cpcells = cellTrees[ct].getCells();
for (size_t w=0; w<cpcells.size(); w++) {
seq.push_back(cpcells[w]);
}
// Now the original seq contains the current seq plus the cells of the touched seq
// Overwrite cells of that seq
cellTrees[ct].setCells(seq);
} else if (stimz == CellState::Processed) {
// Set properties of the current cycle
left = true;
size_t otherG = scm1p->getCss().getCell(imz).getGroup();
size_t otherCmid = scm1p->getCss().getCell(imz).getClusterID();
for (size_t k = 0; k < seq.size(); k++) {
scm1p->getCss().getCell(seq[k]).setClusterID(otherCmid);
scm1p->getCss().getCell(seq[k]).setGroup(otherG);
scm1p->getCss().getCell(seq[k]).setState(CellState::Processed);
}
} else {
// Add cell to seq
seq.push_back(imz);
z = imz;
}
} else {
// We are still in the original CSS, but touching a transiting seq
left = true;
// Set properties of the current seq as the target
size_t otherG = scm1p->getCss().getCell(imz).getGroup();
size_t otherCmid = scm1p->getCss().getCell(imz).getClusterID();
for (size_t k = 0; k < seq.size(); k++) {
scm1p->getCss().getCell(seq[k]).setClusterID(otherCmid);
scm1p->getCss().getCell(seq[k]).setGroup(otherG);
scm1p->getCss().getCell(seq[k]).setState(CellState::Processed);
}
// Terminating current processing cycle
} // end if imz != 0
} else {
// We have left the original CSS
left = true;
// Check whether this state is in the other SCM's state space
StateVectorType center = systemp->step(scm1p->getCss().getCenter(z));
imz = scm2p->getCss().getID(center);
if (imz != 0) {
// The target is a regular cell of the other CSS, get its group number
size_t otherG = scm2p->getCss().getCell(imz).getGroup();
if (otherG != 0) {
// Tag cells and terminate current processing cycle
for (size_t k = 0; k < seq.size(); k++) {
scm1p->getCss().getCell(seq[k]).setClusterID(cmid2);
scm1p->getCss().getCell(seq[k]).setGroup(otherG);
scm1p->getCss().getCell(seq[k]).setState(CellState::Processed);
}
} else {
// Tag cells and Save this tree for later analysis, terminate proc. cycle
// Also set cellTreeIndex of cells in this sequence
size_t ctIndex = cellTrees.size();
for (size_t k = 0; k < seq.size(); k++) {
if (scm1p->getCss().getCell(seq[k]).getState() == CellState::UnderProcessing) {
//cout << "ERROR while saving cycle!\n";
}
scm1p->getCss().getCell(seq[k]).setState(CellState::UnderProcessing);
scm1p->getCss().getCell(seq[k]).setCellTreeID(ctIndex);
}
// Set cell tree properties
cellTree.setCells(seq);
cellTree.setClusterID(cmid1);
cellTree.setState(CellState::UnderProcessing);
cellTree.setImageCell(imz);
cellTree.setImageCmid(cmid2);
cellTrees.push_back(cellTree);
}
} else {
// This seq leads to the (real) sink cell, tag cells, terminate proc. cycle
for (size_t k = 0; k < seq.size(); k++) {
// Since the group number was 0, it is not necessary to overwrite
scm1p->getCss().getCell(seq[k]).setState(CellState::Processed);
}
}
} /* end if */
} /* end while */
} /* end if already processed or under_processing */
} /* end for */
}
void join_stage2(SCM<CellType, IDType, StateVectorType>* scm1p,
SCM<CellType, IDType, StateVectorType>* scm2p) {
IDType cmid1 = scm1p->getCss().getCell(0).getClusterID();
IDType cmid2 = scm2p->getCss().getCell(0).getClusterID();
/*
* STAGE 2: Do an SCM on the cellTrees, their state should be currently UNTOUCHED
*/
for (size_t i=0; i<cellTrees.size(); i++) {
CellState cs = cellTrees[i].getState();
// Select i-th cellTree, check its state
if (cs == CellState::Processed) {
// skip
} else if (cs == CellState::Untouched) {
// Start processing cycle
//cout << "Processing cycle at cellTree: " << i << endl;
std::vector<size_t> cycle;
cycle.push_back(i);
cellTrees[i].setState(CellState::UnderProcessing);
size_t cpImage = i;
CellState cpImageState;
bool processing = true;
while (processing) {
// Before continuing the processing cycle, check if this cellpath leads to an already processed cell
size_t cpImageCell = cellTrees[cpImage].getImageCell();
size_t cpImageCmid = cellTrees[cpImage].getImageCmid();
CellState imageCellState;
size_t imageCellGroup;
// TODO: Rework this part
if (cpImageCmid == cmid1) {
imageCellState = scm1->getCss().getCell(cpImageCell).getState();
imageCellGroup = scm1->getCss().getCell(cpImageCell).getGroup();
} else {
imageCellState = scm2->getCss().getCell(cpImageCell).getState();
imageCellGroup = scm2->getCss().getCell(cpImageCell).getGroup();
}
if (imageCellState == CellState::Processed) {
// Tag current cell paths in cycle as the last processed image
// Tag internal cells (in paths) as well
for (size_t k=0; k<cycle.size(); k++) {
cellTrees[cycle[k]].setState(CellState::Processed);
std::vector<IDType> cellsk = cellTrees[cycle[k]].getCells();
if(cellTrees[cycle[k]].getClusterID() == cmid1) {
for (size_t ck=0; ck<cellsk.size(); ck++) {
scm1->getCss().getCell(cellsk[ck]).setGroup(imageCellGroup);
scm1->getCss().getCell(cellsk[ck]).setState(CellState::Processed);
scm1->getCss().getCell(cellsk[ck]).setClusterID(cmid1);
}
} else {
for (size_t ck=0; ck<cellsk.size(); ck++) {
scm2->getCss().getCell(cellsk[ck]).setGroup(imageCellGroup);
scm2->getCss().getCell(cellsk[ck]).setState(CellState::Processed);
scm2->getCss().getCell(cellsk[ck]).setClusterID(cmid1);
}
}
}
processing = false;
//cout << "Known destination (cell) found, terminating cycle at cellTree: " << i << endl;
} else {
// get the cellpath image index
cpImage = cellPathImage(cellTrees, cpImage);
// get cellpath images state
cpImageState = cellTrees[cpImage].getState();
if (cpImageState == CellState::Untouched) {
// append current cell seq to the cycle, and also tag it as UNDER_PROCESSING
cellTrees[cpImage].setState(CellState::UnderProcessing);
cycle.push_back(cpImage);
//cout << "Cycle size: " << cycle.size() << endl;
} else if (cpImageState == CellState::Processed) {
// TODO: Find the group number of image
size_t imageGroup = 1;
// Tag current cell paths in cycle as the last processed image
// Tag internal cells (in paths) as well
for (size_t k=0; k<cycle.size(); k++) {
cellTrees[cycle[k]].setState(CellState::Processed);
std::vector<IDType> cellsk = cellTrees[cycle[k]].getCells();
if(cellTrees[cycle[k]].getClusterID() == cmid1) {
for (size_t ck=0; ck<cellsk.size(); ck++) {
scm1->getCss().getCell(cellsk[ck]).setGroup(imageGroup);
scm1->getCss().getCell(cellsk[ck]).setState(CellState::Processed);
}
} else {
for (size_t ck=0; ck<cellsk.size(); ck++) {
scm2->getCss().getCell(cellsk[ck]).setGroup(imageGroup);
scm2->getCss().getCell(cellsk[ck]).setState(CellState::Processed);
}
}
}
processing = false;
//cout << "Known destination (cellpath) found, terminating cycle at cellTree: " << i << endl;
} else if (cpImageState == CellState::UnderProcessing) {
// new periodic group found, tag all cells in the cycle
// TODO: Create new group number for clusterID1
size_t newGroup = scm1->getPeriodicGroups() + 1;
scm1->setPeriodicGroups(newGroup);
// Tag internal cells (in paths) as well, also set cmid to cmid1
for (size_t k=0; k<cycle.size(); k++) {
cellTrees[cycle[k]].setState(CellState::Processed);
std::vector<IDType> cellsk = cellTrees[cycle[k]].getCells();
if(cellTrees[cycle[k]].getClusterID() == cmid1) {
for (size_t ck=0; ck<cellsk.size(); ck++) {
scm1->getCss().getCell(cellsk[ck]).setGroup(newGroup);
scm1->getCss().getCell(cellsk[ck]).setState(CellState::Processed);
scm1->getCss().getCell(cellsk[ck]).setClusterID(cmid1);
}
} else {
for (size_t ck=0; ck<cellsk.size(); ck++) {
scm2->getCss().getCell(cellsk[ck]).setGroup(newGroup);
scm2->getCss().getCell(cellsk[ck]).setState(CellState::Processed);
scm2->getCss().getCell(cellsk[ck]).setClusterID(cmid1); // To have the same color
}
}
}
processing = false;
//std::cout << "New " << cycle.size() <<" PG found, terminating cycle at cellTree: " << i << std::endl;
}
}
}
} else {
std::cout << "ERROR: CellTree with UNDER_PROCESSING state found!\n";
// This should not happen
}
}
}
public:
ClusteredSCM(SCM<CellType, IDType, StateVectorType>* scm1p,
SCM<CellType, IDType, StateVectorType>* scm2p) {
ClusteredSCM::scm1 = scm1p;
ClusteredSCM::scm2 = scm2p;
}
/**
* Finds the index of the image of a CellTree within the container cellPaths
*/
size_t cellPathImage(std::vector<CellTree<IDType>>& cellPaths, size_t cellPathId) {
IDType cellPathImageCell = cellPaths[cellPathId].getImageCell();
IDType cellPathImageCmid = cellPaths[cellPathId].getImageCmid();
// Loop on cellPaths and try to find the image
IDType targetCellPath = cellPaths.size();
std::vector<IDType> cells;
for (IDType cp = 0; cp < cellPaths.size(); cp++) {
if (cellPaths[cp].getClusterID() == cellPathImageCmid) {
cells = cellPaths[cp].getCells();
for (IDType cpc = 0; cpc < cells.size(); cpc++) {
if (cells[cpc] == cellPathImageCell) {
targetCellPath = cp;
break;
}
}
}
if (targetCellPath != cellPaths.size()) { break; }
}
if(targetCellPath == cellPaths.size()) {
//cout << "ERROR: Cell path image not found!\n";
}
return targetCellPath;
}
/**
* Joins the two SCM solutions
*/
void join(bool verbose = false) {
/* TODO: Check overlap between the two SCM state spaces, raise error
* TODO: Check whether the two systems are the same!
*/
// Get the DoA of sink cell for both SCMs
std::vector<IDType> sinkDoA1;
std::vector<IDType> sinkDoA2;
if (verbose) std::cout << "\nInitialization: " << std::endl;
size_t scm1count = scm1->getCss().getCellSum();
size_t scm2count = scm2->getCss().getCellSum();
IDType cmid1 = scm1->getCss().getCell(0).getClusterID();
IDType cmid2 = scm2->getCss().getCell(0).getClusterID();
ClusteredSCMDefaultColoring<CellType, IDType> coloringMethod;
if (cmid2 == cmid1) {
cmid2++;
#pragma omp parallel for
for(size_t i=0; i<scm2count; i++) {
scm2->getCss().getCell(i).setClusterID(cmid2);
}
}
// TODO: Check if two SCMs use the same dynamical system!
DynamicalSystemBase<StateVectorType>* systemp = scm1->getSystemPointer();
for(size_t i=1; i<scm1count; i++) {
if (scm1->getCss().getCell(i).getGroup() == 0) {
sinkDoA1.push_back(i);
scm1->getCss().getCell(i).setState(CellState::Untouched);
}
}
for(size_t i=1; i<scm2count; i++) {
if (scm2->getCss().getCell(i).getGroup() == 0) {
sinkDoA2.push_back(i);
scm2->getCss().getCell(i).setState(CellState::Untouched);
}
}
size_t sinkCount = sinkDoA1.size() + sinkDoA2.size();
if (verbose) {
std::cout << " SCM1's sink cell DoA contains: " << sinkDoA1.size() << " cells." << std::endl;
std::cout << " SCM2's sink cell DoA contains: " << sinkDoA2.size() << " cells." << std::endl;
std::cout << " Total number of cells in the joining procedure: " << sinkCount << std::endl;
//scm1->generateImage("scm1_st0.jpg", &coloringMethod);
//scm2->generateImage("scm2_st0.jpg", &coloringMethod);
std::cout << "\nStage 1:" << std::endl;
}
cellTrees.resize(0);
join_stage1(systemp, scm1, scm2, sinkDoA1);
join_stage1(systemp, scm2, scm1, sinkDoA2);
IDType pathsum = 0;
IDType cellStates[3];
if(verbose) {
cellStates[0] = 0;
cellStates[1] = 0;
cellStates[2] = 0;
for (IDType i = 0; i < sinkDoA1.size(); i++) {
cellStates[(int) scm1->getCss().getCell(sinkDoA1[i]).getState()]++;
}
for (IDType i = 0; i < sinkDoA2.size(); i++) {
cellStates[(int) scm2->getCss().getCell(sinkDoA2[i]).getState()]++;
}
//std::cout << "Cell States:\n";
//std::cout << " Untouched:\t\t" << cellStates[(int) CellState::Untouched] << std::endl;
//std::cout << " UnderProcessing:\t" << cellStates[(int) CellState::UnderProcessing] << std::endl;
//std::cout << " Processed:\t\t" << cellStates[(int) CellState::Processed] << std::endl;
//std::cout << (cellStates[0] + cellStates[1] + cellStates[2]) << "/" << sinkCount << "\n";
std::cout << " Processed " << cellStates[(int) CellState::Processed] << " cells (";
std::cout << double(cellStates[(int) CellState::Processed])/sinkCount*100.0 << "%)" << std::endl;
}
// List seq statistics, also reset their state to UNTOUCHED
pathsum = 0;
for (IDType p=0; p < cellTrees.size(); p++) {
//std::cout << "Path " << p << ": clusterID = " << cellTrees[p].getClusterID() << ", cells: " << cellTrees[p].getCells().size() << std::endl;
pathsum += cellTrees[p].getCells().size();
cellTrees[p].setState(CellState::Untouched);
}
if (verbose) {
std::cout << " Cell trees constructed: " << cellTrees.size() << std::endl;
std::cout << " Number of cells in cell trees: " << pathsum << std::endl;
//scm1->generateImage("scm1_st1.jpg", &coloringMethod);
//scm2->generateImage("scm2_st1.jpg", &coloringMethod);
std::cout << "\nStage 2:" << std::endl;
}
join_stage2(scm1, scm2);
if (verbose) {
cellStates[0] = 0;
cellStates[1] = 0;
cellStates[2] = 0;
for (size_t i = 0; i < sinkDoA1.size(); i++) {
cellStates[(int) scm1->getCss().getCell(sinkDoA1[i]).getState()]++;
}
for (size_t i = 0; i < sinkDoA2.size(); i++) {
cellStates[(int) scm2->getCss().getCell(sinkDoA2[i]).getState()]++;
}
size_t processedPaths = 0;
for (size_t p=0; p < cellTrees.size(); p++) {
if(cellTrees[p].getState() == CellState::Processed) {processedPaths++;}
}
//std::cout << "Cell States:\n";
//std::cout << " Untouched:\t\t" << cellStates[(int) CellState::Untouched] << std::endl;
//std::cout << " UnderProcessing:\t" << cellStates[(int) CellState::UnderProcessing] << std::endl;
//std::cout << " Processed:\t\t" << cellStates[(int) CellState::Processed] << std::endl;
//std::cout << (cellStates[0] + cellStates[1] + cellStates[2]) << "/" << sinkCount << "\n";
std::cout << " Processed " << cellStates[(int) CellState::Processed] << " cells (";
std::cout << double(cellStates[(int) CellState::Processed])/sinkCount*100.0 << "%)" << std::endl;
std::cout << " Processed cell trees: " << processedPaths << std::endl;
}
// Shift SCM2's group numbers
IDType groupshift = scm1->getPeriodicGroups();
IDType totalgroups = scm1->getPeriodicGroups() + scm2->getPeriodicGroups();
scm1->setPeriodicGroups(totalgroups);
scm2->setPeriodicGroups(totalgroups);
#pragma omp parallel for
for (IDType z=1; z<scm1->getCss().getCellSum(); z++) {
if (scm1->getCss().getCell(z).getClusterID() == cmid2 && scm1->getCss().getCell(z).getGroup() != 0) {
scm1->getCss().getCell(z).setGroup(scm1->getCss().getCell(z).getGroup()+groupshift);
}
}
#pragma omp parallel for
for (IDType z=1; z<scm2->getCss().getCellSum(); z++) {
if (scm2->getCss().getCell(z).getClusterID() == cmid2 && scm2->getCss().getCell(z).getGroup() != 0) {
scm2->getCss().getCell(z).setGroup(scm2->getCss().getCell(z).getGroup()+groupshift);
}
}
if (verbose) {
scm1->generateImage("scm1_joined.jpg", &coloringMethod);
scm2->generateImage("scm2_joined.jpg", &coloringMethod);
}
}
};
}
#endif //CELL_MAPPING_CPP_CSCM_H
|
GB_unaryop__abs_int16_uint64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_int16_uint64
// op(A') function: GB_tran__abs_int16_uint64
// C type: int16_t
// A type: uint64_t
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = GB_IABS (aij)
#define GB_ATYPE \
uint64_t
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IABS (x) ;
// casting
#define GB_CASTING(z, x) \
int16_t z = (int16_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_INT16 || GxB_NO_UINT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_int16_uint64
(
int16_t *restrict Cx,
const uint64_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_int16_uint64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
attribute.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% AAA TTTTT TTTTT RRRR IIIII BBBB U U TTTTT EEEEE %
% A A T T R R I B B U U T E %
% AAAAA T T RRRR I BBBB U U T EEE %
% A A T T R R I B B U U T E %
% A A T T R R IIIII BBBB UUU T EEEEE %
% %
% %
% MagickCore Get / Set Image Attributes %
% %
% Software Design %
% Cristy %
% October 2002 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/artifact.h"
#include "magick/attribute.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/cache.h"
#include "magick/cache-private.h"
#include "magick/cache-view.h"
#include "magick/client.h"
#include "magick/channel.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colormap.h"
#include "magick/colormap-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/constitute.h"
#include "magick/deprecate.h"
#include "magick/draw.h"
#include "magick/draw-private.h"
#include "magick/effect.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/geometry.h"
#include "magick/histogram.h"
#include "magick/identify.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/memory_.h"
#include "magick/magick.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/paint.h"
#include "magick/pixel.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/random_.h"
#include "magick/resource_.h"
#include "magick/semaphore.h"
#include "magick/segment.h"
#include "magick/splay-tree.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"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e B o u n d i n g B o x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageBoundingBox() returns the bounding box of an image canvas.
%
% The format of the GetImageBoundingBox method is:
%
% RectangleInfo GetImageBoundingBox(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o bounds: Method GetImageBoundingBox returns the bounding box of an
% image canvas.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef struct _EdgeInfo
{
double
left,
right,
top,
bottom;
} EdgeInfo;
static double GetEdgeBackgroundFactor(const Image *image,
const CacheView *image_view,const GravityType gravity,const size_t width,
const size_t height,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
CacheView
*edge_view;
const char
*artifact;
double
factor;
Image
*edge_image;
MagickPixelPacket
background,
pixel;
RectangleInfo
edge_geometry;
const PixelPacket
*p;
ssize_t
y;
/*
Determine the percent of image background for this edge.
*/
switch (gravity)
{
case NorthWestGravity:
case NorthGravity:
default:
{
p=GetCacheViewVirtualPixels(image_view,0,0,1,1,exception);
break;
}
case NorthEastGravity:
case EastGravity:
{
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,0,1,1,
exception);
break;
}
case SouthEastGravity:
case SouthGravity:
{
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,
(ssize_t) image->rows-1,1,1,exception);
break;
}
case SouthWestGravity:
case WestGravity:
{
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-1,1,1,
exception);
break;
}
}
GetMagickPixelPacket(image,&background);
SetMagickPixelPacket(image,p,(IndexPacket *) NULL,&background);
artifact=GetImageArtifact(image,"background");
if (artifact != (const char *) NULL)
(void) QueryMagickColor(artifact,&background,exception);
artifact=GetImageArtifact(image,"trim:background-color");
if (artifact != (const char *) NULL)
(void) QueryMagickColor(artifact,&background,exception);
edge_geometry.width=width;
edge_geometry.height=height;
edge_geometry.x=x_offset;
edge_geometry.y=y_offset;
GravityAdjustGeometry(image->columns,image->rows,gravity,&edge_geometry);
edge_image=CropImage(image,&edge_geometry,exception);
if (edge_image == (Image *) NULL)
return(0.0);
factor=0.0;
GetMagickPixelPacket(edge_image,&pixel);
edge_view=AcquireVirtualCacheView(edge_image,exception);
for (y=0; y < (ssize_t) edge_image->rows; y++)
{
ssize_t
x;
p=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) edge_image->columns; x++)
{
SetMagickPixelPacket(edge_image,p,(IndexPacket *) NULL,&pixel);
if (IsMagickColorSimilar(&pixel,&background) == MagickFalse)
factor++;
p++;
}
}
factor/=((double) edge_image->columns*edge_image->rows);
edge_view=DestroyCacheView(edge_view);
edge_image=DestroyImage(edge_image);
return(factor);
}
static inline double GetMinEdgeBackgroundFactor(const EdgeInfo *edge)
{
double
factor;
factor=MagickMin(MagickMin(MagickMin(edge->left,edge->right),edge->top),
edge->bottom);
return(factor);
}
static RectangleInfo GetEdgeBoundingBox(const Image *image,
ExceptionInfo *exception)
{
CacheView
*edge_view;
const char
*artifact;
double
background_factor,
percent_background;
EdgeInfo
edge,
vertex;
Image
*edge_image;
RectangleInfo
bounds;
/*
Get the image bounding box.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
SetGeometry(image,&bounds);
edge_image=CloneImage(image,0,0,MagickTrue,exception);
if (edge_image == (Image *) NULL)
return(bounds);
(void) ParseAbsoluteGeometry("0x0+0+0",&edge_image->page);
memset(&vertex,0,sizeof(vertex));
edge_view=AcquireVirtualCacheView(edge_image,exception);
edge.left=GetEdgeBackgroundFactor(edge_image,edge_view,WestGravity,
1,0,0,0,exception);
edge.right=GetEdgeBackgroundFactor(edge_image,edge_view,EastGravity,
1,0,0,0,exception);
edge.top=GetEdgeBackgroundFactor(edge_image,edge_view,NorthGravity,
0,1,0,0,exception);
edge.bottom=GetEdgeBackgroundFactor(edge_image,edge_view,SouthGravity,
0,1,0,0,exception);
percent_background=1.0;
artifact=GetImageArtifact(edge_image,"trim:percent-background");
if (artifact != (const char *) NULL)
percent_background=StringToDouble(artifact,(char **) NULL)/100.0;
percent_background=MagickMin(MagickMax(1.0-percent_background,MagickEpsilon),
1.0);
background_factor=GetMinEdgeBackgroundFactor(&edge);
for ( ; background_factor < percent_background;
background_factor=GetMinEdgeBackgroundFactor(&edge))
{
if ((bounds.width == 0) || (bounds.height == 0))
break;
if (fabs(edge.left-background_factor) < MagickEpsilon)
{
/*
Trim left edge.
*/
vertex.left++;
bounds.width--;
edge.left=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthWestGravity,1,bounds.height,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.top=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.bottom=GetEdgeBackgroundFactor(edge_image,edge_view,
SouthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.bottom,exception);
continue;
}
if (fabs(edge.right-background_factor) < MagickEpsilon)
{
/*
Trim right edge.
*/
vertex.right++;
bounds.width--;
edge.right=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthEastGravity,1,bounds.height,(ssize_t) vertex.right,(ssize_t)
vertex.top,exception);
edge.top=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.bottom=GetEdgeBackgroundFactor(edge_image,edge_view,
SouthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.bottom,exception);
continue;
}
if (fabs(edge.top-background_factor) < MagickEpsilon)
{
/*
Trim top edge.
*/
vertex.top++;
bounds.height--;
edge.left=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthWestGravity,1,bounds.height,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.right=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthEastGravity,1,bounds.height,(ssize_t) vertex.right,(ssize_t)
vertex.top,exception);
edge.top=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
continue;
}
if (fabs(edge.bottom-background_factor) < MagickEpsilon)
{
/*
Trim bottom edge.
*/
vertex.bottom++;
bounds.height--;
edge.left=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthWestGravity,1,bounds.height,(ssize_t) vertex.left,(ssize_t)
vertex.top,exception);
edge.right=GetEdgeBackgroundFactor(edge_image,edge_view,
NorthEastGravity,1,bounds.height,(ssize_t) vertex.right,(ssize_t)
vertex.top,exception);
edge.bottom=GetEdgeBackgroundFactor(edge_image,edge_view,
SouthWestGravity,bounds.width,1,(ssize_t) vertex.left,(ssize_t)
vertex.bottom,exception);
continue;
}
}
edge_view=DestroyCacheView(edge_view);
edge_image=DestroyImage(edge_image);
bounds.x=(ssize_t) vertex.left;
bounds.y=(ssize_t) vertex.top;
if ((bounds.width == 0) || (bounds.height == 0))
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
return(bounds);
}
MagickExport RectangleInfo GetImageBoundingBox(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
const char
*artifact;
MagickBooleanType
status;
MagickPixelPacket
target[4],
zero;
RectangleInfo
bounds;
const PixelPacket
*p;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
artifact=GetImageArtifact(image,"trim:percent-background");
if (artifact != (const char *) NULL)
return(GetEdgeBoundingBox(image,exception));
bounds.width=0;
bounds.height=0;
bounds.x=(ssize_t) image->columns;
bounds.y=(ssize_t) image->rows;
GetMagickPixelPacket(image,&target[0]);
image_view=AcquireVirtualCacheView(image,exception);
p=GetCacheViewVirtualPixels(image_view,0,0,1,1,exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
return(bounds);
}
SetMagickPixelPacket(image,p,GetCacheViewVirtualIndexQueue(image_view),
&target[0]);
GetMagickPixelPacket(image,&target[1]);
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,0,1,1,
exception);
if (p != (const PixelPacket *) NULL)
SetMagickPixelPacket(image,p,GetCacheViewVirtualIndexQueue(image_view),
&target[1]);
GetMagickPixelPacket(image,&target[2]);
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-1,1,1,
exception);
if (p != (const PixelPacket *) NULL)
SetMagickPixelPacket(image,p,GetCacheViewVirtualIndexQueue(image_view),
&target[2]);
GetMagickPixelPacket(image,&target[3]);
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,
(ssize_t) image->rows-1,1,1,exception);
if (p != (const PixelPacket *) NULL)
SetMagickPixelPacket(image,p,GetCacheViewVirtualIndexQueue(image_view),
&target[3]);
status=MagickTrue;
GetMagickPixelPacket(image,&zero);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickPixelPacket
pixel;
RectangleInfo
bounding_box;
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
ssize_t
x;
if (status == MagickFalse)
continue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
# pragma omp critical (MagickCore_GetImageBoundingBox)
#endif
bounding_box=bounds;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
if ((x < bounding_box.x) &&
(IsMagickColorSimilar(&pixel,&target[0]) == MagickFalse))
bounding_box.x=x;
if ((x > (ssize_t) bounding_box.width) &&
(IsMagickColorSimilar(&pixel,&target[1]) == MagickFalse))
bounding_box.width=(size_t) x;
if ((y < bounding_box.y) &&
(IsMagickColorSimilar(&pixel,&target[0]) == MagickFalse))
bounding_box.y=y;
if ((y > (ssize_t) bounding_box.height) &&
(IsMagickColorSimilar(&pixel,&target[2]) == MagickFalse))
bounding_box.height=(size_t) y;
if ((x < (ssize_t) bounding_box.width) &&
(y > (ssize_t) bounding_box.height) &&
(IsMagickColorSimilar(&pixel,&target[3]) == MagickFalse))
{
bounding_box.width=(size_t) x;
bounding_box.height=(size_t) y;
}
p++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
# pragma omp critical (MagickCore_GetImageBoundingBox)
#endif
{
if (bounding_box.x < bounds.x)
bounds.x=bounding_box.x;
if (bounding_box.y < bounds.y)
bounds.y=bounding_box.y;
if (bounding_box.width > bounds.width)
bounds.width=bounding_box.width;
if (bounding_box.height > bounds.height)
bounds.height=bounding_box.height;
}
}
image_view=DestroyCacheView(image_view);
if ((bounds.width == 0) || (bounds.height == 0))
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
else
{
bounds.width-=(bounds.x-1);
bounds.height-=(bounds.y-1);
}
return(bounds);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelDepth() returns the depth of a particular image channel.
%
% The format of the GetImageChannelDepth method is:
%
% size_t GetImageDepth(const Image *image,ExceptionInfo *exception)
% size_t GetImageChannelDepth(const Image *image,
% const ChannelType channel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport size_t GetImageDepth(const Image *image,ExceptionInfo *exception)
{
return(GetImageChannelDepth(image,CompositeChannels,exception));
}
MagickExport size_t GetImageChannelDepth(const Image *image,
const ChannelType channel,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
i;
size_t
*current_depth,
depth,
number_threads;
ssize_t
y;
/*
Compute image depth.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
current_depth=(size_t *) AcquireQuantumMemory(number_threads,
sizeof(*current_depth));
if (current_depth == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
status=MagickTrue;
for (i=0; i < (ssize_t) number_threads; i++)
current_depth[i]=1;
if ((image->storage_class == PseudoClass) && (image->matte == MagickFalse))
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->colors,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
const int
id = GetOpenMPThreadId();
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
MagickBooleanType
atDepth;
QuantumAny
range;
atDepth=MagickTrue;
range=GetQuantumRange(current_depth[id]);
if ((channel & RedChannel) != 0)
if (IsPixelAtDepth(image->colormap[i].red,range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & GreenChannel) != 0))
if (IsPixelAtDepth(image->colormap[i].green,range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & BlueChannel) != 0))
if (IsPixelAtDepth(image->colormap[i].blue,range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse))
break;
current_depth[id]++;
}
}
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
image_view=AcquireVirtualCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
DisableMSCWarning(4127)
if (1UL*QuantumRange <= MaxMap)
RestoreMSCWarning
{
size_t
*depth_map;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(size_t *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
{
unsigned int
depth;
for (depth=1; depth < MAGICKCORE_QUANTUM_DEPTH; depth++)
{
Quantum
pixel;
QuantumAny
range;
range=GetQuantumRange(depth);
pixel=(Quantum) i;
if (pixel == ScaleAnyToQuantum(ScaleQuantumToAny(pixel,range),range))
break;
}
depth_map[i]=depth;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
Quantum
pixel;
if ((channel & RedChannel) != 0)
{
pixel=GetPixelRed(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if ((channel & GreenChannel) != 0)
{
pixel=GetPixelGreen(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if ((channel & BlueChannel) != 0)
{
pixel=GetPixelBlue(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
pixel=GetPixelOpacity(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
pixel=GetPixelIndex(indexes+x);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
p++;
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
depth_map=(size_t *) RelinquishMagickMemory(depth_map);
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
#endif
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
MagickBooleanType
atDepth;
QuantumAny
range;
atDepth=MagickTrue;
range=GetQuantumRange(current_depth[id]);
if ((atDepth != MagickFalse) && ((channel & RedChannel) != 0))
if (IsPixelAtDepth(GetPixelRed(p),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & GreenChannel) != 0))
if (IsPixelAtDepth(GetPixelGreen(p),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & BlueChannel) != 0))
if (IsPixelAtDepth(GetPixelBlue(p),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
if (IsPixelAtDepth(GetPixelOpacity(p),range) == MagickFalse)
atDepth=MagickTrue;
if ((atDepth != MagickFalse) && ((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
if (IsPixelAtDepth(GetPixelIndex(indexes+x),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse))
break;
current_depth[id]++;
}
p++;
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e Q u a n t u m D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageQuantumDepth() returns the depth of the image rounded to a legal
% quantum depth: 8, 16, or 32.
%
% The format of the GetImageQuantumDepth method is:
%
% size_t GetImageQuantumDepth(const Image *image,
% const MagickBooleanType constrain)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o constrain: A value other than MagickFalse, constrains the depth to
% a maximum of MAGICKCORE_QUANTUM_DEPTH.
%
*/
MagickExport size_t GetImageQuantumDepth(const Image *image,
const MagickBooleanType constrain)
{
size_t
depth;
depth=image->depth;
if (depth <= 8)
depth=8;
else
if (depth <= 16)
depth=16;
else
if (depth <= 32)
depth=32;
else
if (depth <= 64)
depth=64;
if (constrain != MagickFalse)
depth=(size_t) MagickMin((double) depth,(double) MAGICKCORE_QUANTUM_DEPTH);
return(depth);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageType() returns the potential type of image:
%
% Bilevel Grayscale GrayscaleMatte
% Palette PaletteMatte TrueColor
% TrueColorMatte ColorSeparation ColorSeparationMatte
%
% To ensure the image type matches its potential, use SetImageType():
%
% (void) SetImageType(image,GetImageType(image));
%
% The format of the GetImageType method is:
%
% ImageType GetImageType(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 ImageType GetImageType(const Image *image,ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->colorspace == CMYKColorspace)
{
if (image->matte == MagickFalse)
return(ColorSeparationType);
return(ColorSeparationMatteType);
}
if (IsMonochromeImage(image,exception) != MagickFalse)
return(BilevelType);
if (IsGrayImage(image,exception) != MagickFalse)
{
if (image->matte != MagickFalse)
return(GrayscaleMatteType);
return(GrayscaleType);
}
if (IsPaletteImage(image,exception) != MagickFalse)
{
if (image->matte != MagickFalse)
return(PaletteMatteType);
return(PaletteType);
}
if (image->matte != MagickFalse)
return(TrueColorMatteType);
return(TrueColorType);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e G r a y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% either 0 or QuantumRange. Otherwise undefined is returned.
%
% The format of the IdentifyImageGray method is:
%
% ImageType IdentifyImageGray(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 ImageType IdentifyImageGray(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
ImageType
type;
const PixelPacket
*p;
ssize_t
x;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->type == BilevelType) || (image->type == GrayscaleType) ||
(image->type == GrayscaleMatteType))
return(image->type);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
return(UndefinedType);
type=BilevelType;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsPixelGray(p) == MagickFalse)
{
type=UndefinedType;
break;
}
if ((type == BilevelType) && (IsPixelMonochrome(p) == MagickFalse))
type=GrayscaleType;
p++;
}
if (type == UndefinedType)
break;
}
image_view=DestroyCacheView(image_view);
if ((type == GrayscaleType) && (image->matte != MagickFalse))
type=GrayscaleMatteType;
return(type);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e M o n o c h r o m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentifyImageMonochrome() returns MagickTrue if all the pixels in the image
% have the same red, green, and blue intensities and the intensity is either
% 0 or QuantumRange.
%
% The format of the IdentifyImageMonochrome method is:
%
% MagickBooleanType IdentifyImageMonochrome(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 MagickBooleanType IdentifyImageMonochrome(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
ImageType
type;
ssize_t
x;
const PixelPacket
*p;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->type == BilevelType)
return(MagickTrue);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
return(MagickFalse);
type=BilevelType;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsPixelMonochrome(p) == MagickFalse)
{
type=UndefinedType;
break;
}
p++;
}
if (type == UndefinedType)
break;
}
image_view=DestroyCacheView(image_view);
if (type == BilevelType)
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentifyImageType() returns the potential type of image:
%
% Bilevel Grayscale GrayscaleMatte
% Palette PaletteMatte TrueColor
% TrueColorMatte ColorSeparation ColorSeparationMatte
%
% To ensure the image type matches its potential, use SetImageType():
%
% (void) SetImageType(image,IdentifyImageType(image,exception),exception);
%
% The format of the IdentifyImageType method is:
%
% ImageType IdentifyImageType(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 ImageType IdentifyImageType(const Image *image,
ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->colorspace == CMYKColorspace)
{
if (image->matte == MagickFalse)
return(ColorSeparationType);
return(ColorSeparationMatteType);
}
if (IdentifyImageMonochrome(image,exception) != MagickFalse)
return(BilevelType);
if (IdentifyImageGray(image,exception) != UndefinedType)
{
if (image->matte != MagickFalse)
return(GrayscaleMatteType);
return(GrayscaleType);
}
if (IdentifyPaletteImage(image,exception) != MagickFalse)
{
if (image->matte != MagickFalse)
return(PaletteMatteType);
return(PaletteType);
}
if (image->matte != MagickFalse)
return(TrueColorMatteType);
return(TrueColorType);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s G r a y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsGrayImage() returns MagickTrue if the type of the image is grayscale or
% bi-level.
%
% The format of the IsGrayImage method is:
%
% MagickBooleanType IsGrayImage(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 MagickBooleanType IsGrayImage(const Image *image,
ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
magick_unreferenced(exception);
if ((image->type == BilevelType) || (image->type == GrayscaleType) ||
(image->type == GrayscaleMatteType))
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s M o n o c h r o m e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsMonochromeImage() returns MagickTrue if type of the image is bi-level.
%
% The format of the IsMonochromeImage method is:
%
% MagickBooleanType IsMonochromeImage(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 MagickBooleanType IsMonochromeImage(const Image *image,
ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
magick_unreferenced(exception);
if (image->type == BilevelType)
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s O p a q u e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsOpaqueImage() returns MagickTrue if none of the pixels in the image have
% an opacity value other than opaque (0).
%
% The format of the IsOpaqueImage method is:
%
% MagickBooleanType IsOpaqueImage(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 MagickBooleanType IsOpaqueImage(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
const PixelPacket
*p;
ssize_t
x;
ssize_t
y;
/*
Determine if image is opaque.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->matte == MagickFalse)
return(MagickTrue);
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelOpacity(p) != OpaqueOpacity)
break;
p++;
}
if (x < (ssize_t) image->columns)
break;
}
image_view=DestroyCacheView(image_view);
return(y < (ssize_t) image->rows ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C h a n n e l D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageChannelDepth() sets the depth of the image.
%
% The format of the SetImageChannelDepth method is:
%
% MagickBooleanType SetImageDepth(Image *image,const size_t depth)
% MagickBooleanType SetImageChannelDepth(Image *image,
% const ChannelType channel,const size_t depth)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o depth: the image depth.
%
*/
MagickExport MagickBooleanType SetImageDepth(Image *image,
const size_t depth)
{
return(SetImageChannelDepth(image,CompositeChannels,depth));
}
MagickExport MagickBooleanType SetImageChannelDepth(Image *image,
const ChannelType channel,const size_t depth)
{
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
QuantumAny
range;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (depth >= MAGICKCORE_QUANTUM_DEPTH)
{
image->depth=depth;
return(MagickTrue);
}
range=GetQuantumRange(depth);
if (image->storage_class == PseudoClass)
{
ssize_t
i;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((channel & RedChannel) != 0)
image->colormap[i].red=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].red),range),range);
if ((channel & GreenChannel) != 0)
image->colormap[i].green=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].green),range),range);
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].blue),range),range);
if ((channel & OpacityChannel) != 0)
image->colormap[i].opacity=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].opacity),range),
range);
}
}
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
DisableMSCWarning(4127)
if (1UL*QuantumRange <= MaxMap)
RestoreMSCWarning
{
Quantum
*depth_map;
ssize_t
i;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(Quantum *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (Quantum *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
depth_map[i]=ScaleAnyToQuantum(ScaleQuantumToAny((Quantum) i,range),
range);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelPacket
*magick_restrict q;
ssize_t
x;
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)
SetPixelRed(q,depth_map[ScaleQuantumToMap(GetPixelRed(q))]);
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,depth_map[ScaleQuantumToMap(GetPixelGreen(q))]);
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,depth_map[ScaleQuantumToMap(GetPixelBlue(q))]);
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
SetPixelOpacity(q,depth_map[ScaleQuantumToMap(GetPixelOpacity(q))]);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
{
status=MagickFalse;
continue;
}
}
image_view=DestroyCacheView(image_view);
depth_map=(Quantum *) RelinquishMagickMemory(depth_map);
if (status != MagickFalse)
image->depth=depth;
return(status);
}
#endif
/*
Scale pixels to desired depth.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelPacket
*magick_restrict q;
ssize_t
x;
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)
SetPixelRed(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelRed(q)),range),range));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelGreen(q)),range),range));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelBlue(q)),range),range));
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
SetPixelOpacity(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelOpacity(q)),range),range));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
{
status=MagickFalse;
continue;
}
}
image_view=DestroyCacheView(image_view);
if (status != MagickFalse)
image->depth=depth;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageType() sets the type of image. Choose from these types:
%
% BilevelType, GrayscaleType, GrayscaleMatteType, PaletteType,
% PaletteMatteType, TrueColorType, TrueColorMatteType,
% ColorSeparationType, ColorSeparationMatteType, OptimizeType
%
% The format of the SetImageType method is:
%
% MagickBooleanType SetImageType(Image *image,const ImageType type)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o type: Image type.
%
*/
MagickExport MagickBooleanType SetImageType(Image *image,const ImageType type)
{
const char
*artifact;
ImageInfo
*image_info;
MagickBooleanType
status;
QuantizeInfo
*quantize_info;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
status=MagickTrue;
image_info=AcquireImageInfo();
image_info->dither=image->dither;
artifact=GetImageArtifact(image,"dither");
if (artifact != (const char *) NULL)
(void) SetImageOption(image_info,"dither",artifact);
switch (type)
{
case BilevelType:
{
status=TransformImageColorspace(image,GRAYColorspace);
(void) NormalizeImage(image);
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->number_colors=2;
quantize_info->colorspace=GRAYColorspace;
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
image->matte=MagickFalse;
break;
}
case GrayscaleType:
{
status=TransformImageColorspace(image,GRAYColorspace);
image->matte=MagickFalse;
break;
}
case GrayscaleMatteType:
{
status=TransformImageColorspace(image,GRAYColorspace);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
break;
}
case PaletteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if ((image->storage_class == DirectClass) || (image->colors > 256))
{
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->number_colors=256;
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
}
image->matte=MagickFalse;
break;
}
case PaletteBilevelMatteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
(void) BilevelImageChannel(image,AlphaChannel,(double) QuantumRange/2.0);
quantize_info=AcquireQuantizeInfo(image_info);
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
break;
}
case PaletteMatteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->colorspace=TransparentColorspace;
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
break;
}
case TrueColorType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
image->matte=MagickFalse;
break;
}
case TrueColorMatteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
break;
}
case ColorSeparationType:
{
status=TransformImageColorspace(image,CMYKColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
image->matte=MagickFalse;
break;
}
case ColorSeparationMatteType:
{
status=TransformImageColorspace(image,CMYKColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
break;
}
case OptimizeType:
case UndefinedType:
break;
}
image_info=DestroyImageInfo(image_info);
if (status == MagickFalse)
return(MagickFalse);
image->type=type;
return(MagickTrue);
}
|
3d7pt_var.c | /*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 8;
tile_size[3] = 32;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt-1; t++) {
for (i = 1; i < Nz-1; i++) {
for (j = 1; j < Ny-1; j++) {
for (k = 1; k < Nx-1; k++) {
A[(t+1)%2][i][j][k] = coef[0][i][j][k] * A[t%2][i ][j ][k ] +
coef[1][i][j][k] * A[t%2][i-1][j ][k ] +
coef[2][i][j][k] * A[t%2][i ][j-1][k ] +
coef[3][i][j][k] * A[t%2][i ][j ][k-1] +
coef[4][i][j][k] * A[t%2][i+1][j ][k ] +
coef[5][i][j][k] * A[t%2][i ][j+1][k ] +
coef[6][i][j][k] * A[t%2][i ][j ][k+1];
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
SpatialFullConvolutionMap.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/SpatialFullConvolutionMap.c"
#else
static int nn_(SpatialFullConvolutionMap_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
int kW = luaT_getfieldcheckint(L, 1, "kW");
int kH = luaT_getfieldcheckint(L, 1, "kH");
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
int nInputPlane = luaT_getfieldcheckint(L, 1, "nInputPlane");
int nOutputPlane = luaT_getfieldcheckint(L, 1, "nOutputPlane");
THTensor *connTable = luaT_getfieldcheckudata(L, 1, "connTable", torch_Tensor);
THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
THTensor *bias = luaT_getfieldcheckudata(L, 1, "bias", torch_Tensor);
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_Tensor);
luaL_argcheck(L, input->nDimension == 3, 2, "3D tensor expected");
luaL_argcheck(L, input->size[0] >= nInputPlane, 2, "invalid number of input planes");
THTensor_(resize3d)(output, nOutputPlane,
(input->size[1] - 1) * dH + kH,
(input->size[2] - 1) * dW + kW);
// contiguous
input = THTensor_(newContiguous)(input);
output = THTensor_(newContiguous)(output);
// get raw pointers
real *input_data = THTensor_(data)(input);
real *output_data = THTensor_(data)(output);
real *weight_data = THTensor_(data)(weight);
real *bias_data = THTensor_(data)(bias);
real *connTable_data = THTensor_(data)(connTable);
// and dims
long input_h = input->size[1];
long input_w = input->size[2];
long output_h = output->size[1];
long output_w = output->size[2];
long weight_h = weight->size[1];
long weight_w = weight->size[2];
long p;
#pragma omp parallel for private(p)
for (p = 0; p < nOutputPlane; p++) {
// add bias
real *ptr_output = output_data + p*output_w*output_h;
long j;
for(j = 0; j < output_h*output_w; j++)
ptr_output[j] = bias_data[p];
// convolve all maps
int nweight = connTable->size[0];
long k;
for (k = 0; k < nweight; k++) {
// get offsets for input/output
int o = (int)connTable_data[k*2+1]-1;
int i = (int)connTable_data[k*2+0]-1;
if (o == p)
{
THTensor_(fullConv2Dptr)(output_data + o*output_w*output_h,
1.0,
input_data + i*input_w*input_h, input_h, input_w,
weight_data + k*weight_w*weight_h, weight_h, weight_w,
dH, dW);
}
}
}
// clean up
THTensor_(free)(input);
THTensor_(free)(output);
return 1;
}
static int nn_(SpatialFullConvolutionMap_updateGradInput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
int nInputPlane = luaT_getfieldcheckint(L, 1, "nInputPlane");
THTensor *connTable = luaT_getfieldcheckudata(L, 1, "connTable", torch_Tensor);
THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_Tensor);
// contiguous
gradInput = THTensor_(newContiguous)(gradInput);
gradOutput = THTensor_(newContiguous)(gradOutput);
// Resize/Zero
THTensor_(resizeAs)(gradInput, input);
THTensor_(zero)(gradInput);
// get raw pointers
real *gradInput_data = THTensor_(data)(gradInput);
real *gradOutput_data = THTensor_(data)(gradOutput);
real *weight_data = THTensor_(data)(weight);
real *connTable_data = THTensor_(data)(connTable);
// and dims
long input_h = input->size[1];
long input_w = input->size[2];
long output_h = gradOutput->size[1];
long output_w = gradOutput->size[2];
long weight_h = weight->size[1];
long weight_w = weight->size[2];
long p;
#pragma omp parallel for private(p)
for(p = 0; p < nInputPlane; p++)
{
long k;
// backward all
int nkernel = connTable->size[0];
for(k = 0; k < nkernel; k++)
{
int o = (int)connTable_data[k*2+1]-1;
int i = (int)connTable_data[k*2+0]-1;
if (i == p)
{
// gradient to input
THTensor_(validXCorr2Dptr)(gradInput_data + i*input_w*input_h,
1.0,
gradOutput_data + o*output_w*output_h, output_h, output_w,
weight_data + k*weight_w*weight_h, weight_h, weight_w,
dH, dW);
}
}
}
// clean up
THTensor_(free)(gradInput);
THTensor_(free)(gradOutput);
return 1;
}
static int nn_(SpatialFullConvolutionMap_accGradParameters)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
int nOutputPlane = luaT_getfieldcheckint(L, 1, "nOutputPlane");
real scale = luaL_optnumber(L, 4, 1);
THTensor *connTable = luaT_getfieldcheckudata(L, 1, "connTable", torch_Tensor);
THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
THTensor *gradWeight = luaT_getfieldcheckudata(L, 1, "gradWeight", torch_Tensor);
THTensor *gradBias = luaT_getfieldcheckudata(L, 1, "gradBias", torch_Tensor);
// contiguous
input = THTensor_(newContiguous)(input);
gradOutput = THTensor_(newContiguous)(gradOutput);
// get raw pointers
real *input_data = THTensor_(data)(input);
real *gradOutput_data = THTensor_(data)(gradOutput);
real *gradWeight_data = THTensor_(data)(gradWeight);
real *gradBias_data = THTensor_(data)(gradBias);
// and dims
long input_h = input->size[1];
long input_w = input->size[2];
long output_h = gradOutput->size[1];
long output_w = gradOutput->size[2];
long weight_h = weight->size[1];
long weight_w = weight->size[2];
// gradients wrt bias
long k;
#pragma omp parallel for private(k)
for(k = 0; k < nOutputPlane; k++) {
real *ptr_gradOutput = gradOutput_data + k*output_w*output_h;
long l;
for(l = 0; l < output_h*output_w; l++)
gradBias_data[k] += scale*ptr_gradOutput[l];
}
// gradients wrt weight
int nkernel = connTable->size[0];
#pragma omp parallel for private(k)
for(k = 0; k < nkernel; k++)
{
int o = (int)THTensor_(get2d)(connTable,k,1)-1;
int i = (int)THTensor_(get2d)(connTable,k,0)-1;
// gradient to kernel
THTensor_(validXCorr2DRevptr)(gradWeight_data + k*weight_w*weight_h,
scale,
gradOutput_data + o*output_w*output_h, output_h, output_w,
input_data + i*input_w*input_h, input_h, input_w,
dH, dW);
}
// clean up
THTensor_(free)(input);
THTensor_(free)(gradOutput);
return 0;
}
static const struct luaL_Reg nn_(SpatialFullConvolutionMapStuff__) [] = {
{"SpatialFullConvolutionMap_updateOutput", nn_(SpatialFullConvolutionMap_updateOutput)},
{"SpatialFullConvolutionMap_updateGradInput", nn_(SpatialFullConvolutionMap_updateGradInput)},
{"SpatialFullConvolutionMap_accGradParameters", nn_(SpatialFullConvolutionMap_accGradParameters)},
{NULL, NULL}
};
static void nn_(SpatialFullConvolutionMap_init)(lua_State *L)
{
luaT_pushmetatable(L, torch_Tensor);
luaT_registeratname(L, nn_(SpatialFullConvolutionMapStuff__), "nn");
lua_pop(L,1);
}
#endif
|
md2_fmt_plug.c | /* MD2 cracker patch for JtR. Hacked together during May of 2013 by Dhiru
* Kholia <dhiru at openwall.com>.
*
* This software is Copyright (c) 2013 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.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_md2_;
#elif FMT_REGISTERS_H
john_register_one(&fmt_md2_);
#else
#include <string.h>
#include "arch.h"
#include "sph_md2.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#ifdef _OPENMP
static int omp_t = 1;
#include <omp.h>
// OMP_SCALE tuned on core i7 quad core HT
// 1 - 153k
// 64 - 433k
// 128 - 572k
// 256 - 612k
// 512 - 543k
// 1k - 680k ** chosen
// 2k - 660k
// 4k - 670k
// 8k - 680k
// 16k - 650k
#ifndef OMP_SCALE
#ifdef __MIC__
#define OMP_SCALE 32
#else
#define OMP_SCALE (1024)
#endif // __MIC__
#endif // OMP_SCALE
#endif // _OPENMP
#include "memdbg.h"
#define FORMAT_LABEL "MD2"
#define FORMAT_NAME ""
#define FORMAT_TAG "$md2$"
#define TAG_LENGTH 5
#define ALGORITHM_NAME "MD2 32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define PLAINTEXT_LENGTH 125
#define BINARY_SIZE 16
#define SALT_SIZE 0
#define BINARY_ALIGN 4
#define SALT_ALIGN 1
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
static struct fmt_tests md2__tests[] = {
{"$md2$ab4f496bfb2a530b219ff33031fe06b0", "message digest"},
{"ab4f496bfb2a530b219ff33031fe06b0", "message digest"},
{"921adc047dad311394d2b8553002042d","len=125_____________________________________________________________________________________________________________________x"},
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static uint32_t (*crypt_out)[BINARY_SIZE / sizeof(uint32_t)];
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
crypt_out = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_out));
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *p;
int extra;
p = ciphertext;
if (!strncmp(p, FORMAT_TAG, TAG_LENGTH))
p += TAG_LENGTH;
if (hexlenl(p, &extra) != 32 || extra)
return 0;
return 1;
}
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[TAG_LENGTH + BINARY_SIZE * 2 + 1];
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
ciphertext += TAG_LENGTH;
memcpy(out, FORMAT_TAG, TAG_LENGTH);
strnzcpy(out + TAG_LENGTH, ciphertext, BINARY_SIZE*2 + 1);
return out;
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[32];
ARCH_WORD dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
p = strrchr(ciphertext, '$') + 1;
else
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 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++)
#endif
{
sph_md2_context ctx;
sph_md2_init(&ctx);
sph_md2(&ctx, saved_key[index], strlen(saved_key[index]));
sph_md2_close(&ctx, (unsigned char*)crypt_out[index]);
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
#ifdef _OPENMP
for (; index < count; index++)
#endif
if (!memcmp(binary, crypt_out[index], ARCH_SIZE))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void md2_set_key(char *key, int index)
{
int saved_len = strlen(key);
if (saved_len > PLAINTEXT_LENGTH)
saved_len = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_len);
saved_key[index][saved_len] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
struct fmt_main fmt_md2_ = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
{ NULL },
{ FORMAT_TAG },
md2__tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
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,
md2_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 */
|
callback_openmp.c | // RUN: %clang_cc1 -triple i386-unknown-unknown -fopenmp %s -emit-llvm -o - -disable-llvm-optzns | FileCheck %s
// CHECK: declare !callback ![[cid:[0-9]+]] void @__kmpc_fork_call
// CHECK: declare !callback ![[cid]] void @__kmpc_fork_teams
// CHECK: ![[cid]] = !{![[cidb:[0-9]+]]}
// CHECK: ![[cidb]] = !{i64 2, i64 -1, i64 -1, i1 true}
void work1(int, int);
void work2(int, int);
void work12(int, int);
void foo(int q) {
int p = 2;
#pragma omp parallel firstprivate(q, p)
work1(p, q);
#pragma omp parallel for firstprivate(p, q)
for (int i = 0; i < q; i++)
work2(i, p);
#pragma omp target teams firstprivate(p)
work12(p, p);
}
|
DRB033-truedeplinear-orig-yes.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
A linear expression is used as array subscription.
Data race pair: a[2*i+1]@64:5 vs. a[i]@64:14
*/
#include <stdlib.h>
#include <stdio.h>
int main(int argc, char* argv[])
{
int i;
int a[2000];
#pragma omp parallel for private(i )
for (i=0; i<2000; i++)
a[i]=i;
#pragma omp parallel for firstprivate(i )
for (i=0;i<1000;i++)
a[2*i+1]=a[i]+1;
printf("a[1001]=%d\n", a[1001]);
return 0;
}
|
GB_binop__second_int64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__second_int64
// A.*B function (eWiseMult): GB_AemultB__second_int64
// A*D function (colscale): GB_AxD__second_int64
// D*A function (rowscale): GB_DxB__second_int64
// C+=B function (dense accum): GB_Cdense_accumB__second_int64
// C+=b function (dense accum): GB_Cdense_accumb__second_int64
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__second_int64
// C=scalar+B (none)
// C=scalar+B' (none)
// C=A+scalar GB_bind2nd__second_int64
// C=A'+scalar GB_bind2nd_tran__second_int64
// C type: int64_t
// A type: int64_t
// B,b type: int64_t
// BinaryOp: cij = bij
#define GB_ATYPE \
int64_t
#define GB_BTYPE \
int64_t
#define GB_CTYPE \
int64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
;
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int64_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = y ;
// op is second
#define GB_OP_IS_SECOND \
1
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_SECOND || GxB_NO_INT64 || GxB_NO_SECOND_INT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__second_int64
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__second_int64
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__second_int64
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int64_t
int64_t bwork = (*((int64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__second_int64
(
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
int64_t *GB_RESTRICT Cx = (int64_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__second_int64
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *GB_RESTRICT Cx = (int64_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
#undef GB_FREE_ALL
#define GB_FREE_ALL \
{ \
GB_ek_slice_free (&pstart_Mslice, &kfirst_Mslice, &klast_Mslice) ; \
GB_ek_slice_free (&pstart_Aslice, &kfirst_Aslice, &klast_Aslice) ; \
GB_ek_slice_free (&pstart_Bslice, &kfirst_Bslice, &klast_Bslice) ; \
}
GrB_Info GB_AaddB__second_int64
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_add_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__second_int64
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
#if 0
GrB_Info (none)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *GB_RESTRICT Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *Cx = (int64_t *) Cx_output ;
int64_t x = (*((int64_t *) x_input)) ;
int64_t *Bx = (int64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int64_t bij = Bx [p] ;
Cx [p] = bij ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB_bind2nd__second_int64
(
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 ;
int64_t *Cx = (int64_t *) Cx_output ;
int64_t *Ax = (int64_t *) Ax_input ;
int64_t y = (*((int64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
; ;
Cx [p] = y ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int64_t aij = Ax [pA] ; \
Cx [pC] = aij ; \
}
GrB_Info (none)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t x = (*((const int64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = y ; \
}
GrB_Info GB_bind2nd_tran__second_int64
(
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
int64_t y = (*((const int64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
FFVTA.h | #ifndef FFVTA_H
#define FFVTA_H
#include <cmath>
#include <cfloat>
#include "BlockManager.h"
#include "LocalScalar3D.h"
#include "real.h"
#include "blas.h"
class FFVTA {
public:
FFVTA() {
count = 0;
}
~FFVTA() {
}
private:
int count;
public:
void Init() {
count = 0;
}
void Update(
BlockManager& blockManager,
LocalScalar3D<real>* plsxa,
LocalScalar3D<real>* plsx) {
int vc = plsx->GetVC();
real beta = 1.0/(1.0 + count);
#ifdef _BLOCK_IS_LARGE_
#else
#pragma omp parallel for
#endif
for (int n=0; n<blockManager.getNumBlock(); ++n) {
BlockBase* block = blockManager.getBlock(n);
Vec3i blockSize = block->getSize();
Vec3r cellSize = block->getCellSize();
int sz[3] = {blockSize.x, blockSize.y, blockSize.z};
real* xa = plsxa->GetBlockData(block);
real* x = plsx->GetBlockData(block);
avew_(xa, x, &beta, sz, &vc);
}
plsxa->ImposeBoundaryCondition(blockManager);
count++;
}
};
#endif
|
3d7pt.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 24;
tile_size[3] = 128;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
const double alpha = 0.0876;
const double beta = 0.0765;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,8);t1++) {
lbp=max(ceild(t1,2),ceild(16*t1-Nt+3,16));
ubp=min(floord(Nt+Nz-4,16),floord(8*t1+Nz+5,16));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(t1-2,3)),ceild(16*t2-Nz-20,24));t3<=min(min(min(floord(Nt+Ny-4,24),floord(8*t1+Ny+13,24)),floord(16*t2+Ny+12,24)),floord(16*t1-16*t2+Nz+Ny+11,24));t3++) {
for (t4=max(max(max(0,ceild(t1-15,16)),ceild(16*t2-Nz-124,128)),ceild(24*t3-Ny-124,128));t4<=min(min(min(min(floord(Nt+Nx-4,128),floord(8*t1+Nx+13,128)),floord(16*t2+Nx+12,128)),floord(24*t3+Nx+20,128)),floord(16*t1-16*t2+Nz+Nx+11,128));t4++) {
for (t5=max(max(max(max(max(0,8*t1),16*t1-16*t2+1),16*t2-Nz+2),24*t3-Ny+2),128*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,8*t1+15),16*t2+14),24*t3+22),128*t4+126),16*t1-16*t2+Nz+13);t5++) {
for (t6=max(max(16*t2,t5+1),-16*t1+16*t2+2*t5-15);t6<=min(min(16*t2+15,-16*t1+16*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(24*t3,t5+1);t7<=min(24*t3+23,t5+Ny-2);t7++) {
lbv=max(128*t4,t5+1);
ubv=min(128*t4+127,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = ((alpha * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (beta * (((((A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)] + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1]) + A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays (Causing performance degradation
/* for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
*/
return 0;
}
|
TrainMTCNNprocessor.h | #ifndef _TRAIN_MTCNN_PROCESSOR_H_
#define _TRAIN_MTCNN_PROCESSOR_H_
#pragma once
#include "ZQ_CNN_Net.h"
#include <vector>
#include <string>
#include <iostream>
#include <omp.h>
#include <stdio.h>
#include "opencv2/opencv.hpp"
namespace ZQ
{
class TrainMTCNNprocessor
{
public:
static bool generateWiderProb(const char* anno_file, const char* prob_file,
const char* param_file, const char* model_file, const char* out_blob_name)
{
ZQ_CNN_Net Onet;
ZQ_CNN_Tensor4D_NHW_C_Align128bit input;
if (!Onet.LoadFrom(param_file, model_file))
{
printf("failed to load Onet: %s %s\n", param_file, model_file);
return false;
}
FILE* in = 0, *out = 0;
if (0 != fopen_s(&in, anno_file, "r"))
{
printf("failed to open %s\n", anno_file);
return false;
}
if (0 != fopen_s(&out, prob_file, "w"))
{
printf("failed to create %s\n", prob_file);
fclose(in);
return false;
}
const int BUF_LEN = 1024 * 1024;
char* buf = (char*)malloc(BUF_LEN);
memset(buf, 0, BUF_LEN);
int handled = 0;
while (true)
{
buf[0] = '\0';
fgets(buf, BUF_LEN - 1, in);
if (buf[0] == '\0')
break;
int len = strlen(buf);
if (buf[len - 1] == '\n')
buf[--len] = '\0';
std::vector<std::string> splits = _split_blank(buf);
int split_num = splits.size();
if (split_num % 4 != 1)
{
printf("something is wrong: %s\n", buf);
fclose(in);
fclose(out);
free(buf);
return false;
}
std::string& img_file = splits[0];
int bbox_num = split_num / 4;
cv::Mat img = cv::imread(img_file, 1);
if (img.empty())
{
printf("failed to load image %s\n", img_file.c_str());
fclose(in);
fclose(out);
free(buf);
return false;
}
int img_width = img.cols;
int img_height = img.rows;
fprintf(out, "%s", img_file.c_str());
for (int i = 0; i < bbox_num; i++)
{
int x1 = atoi(splits[i * 4 + 1].c_str());
int y1 = atoi(splits[i * 4 + 2].c_str());
int x2 = atoi(splits[i * 4 + 3].c_str());
int y2 = atoi(splits[i * 4 + 4].c_str());
int w = x2 - x1;
int h = y2 - y1;
int max_side = __max(w, h);
int crop_x1 = __min(img_width - 1, __max(0, x1 + w / 2 - max_side / 2));
int crop_y1 = __min(img_height - 1, __max(0, y1 + h / 2 - max_side / 2));
int crop_x2 = __min(img_width - 1, __max(0, x1 + w / 2 + max_side / 2));
int crop_y2 = __min(img_height - 1, __max(0, y1 + h / 2 + max_side / 2));
cv::Mat crop_im = img(cv::Rect(cv::Point(crop_x1, crop_y1), cv::Point(crop_x2, crop_y2)));
if (crop_im.empty())
{
fprintf(out, " 0.00");
continue;
}
cv::Mat resize_im;
cv::resize(crop_im, resize_im, cv::Size(48, 48));
input.ConvertFromBGR(resize_im.data, resize_im.cols, resize_im.rows, resize_im.step[0]);
if (!Onet.Forward(input))
{
printf("failed to forward\n");
fclose(in);
fclose(out);
free(buf);
return false;
}
const ZQ_CNN_Tensor4D* blob = Onet.GetBlobByName(std::string(out_blob_name));
if (blob == 0)
{
printf("failed to get blob %s\n", out_blob_name);
fclose(in);
fclose(out);
free(buf);
return false;
}
const float* ptr = blob->GetFirstPixelPtr();
fprintf(out, " %.2f", ptr[1]);
}
fprintf(out, "\n");
handled++;
if (handled % 100 == 0)
{
printf("%d handled\n", handled);
}
}
free(buf);
fclose(in);
fclose(out);
return true;
}
static bool generate_data(int size, const char* root, const char* anno_file, const char* prob_file,
int base_num = 1, int thread_num = 4, float prob_thresh = 0.3)
{
const int BUF_LEN = 1000;
char save_dir[BUF_LEN] = { 0 };
char pos_save_dir[BUF_LEN] = { 0 };
char part_save_dir[BUF_LEN] = { 0 };
char neg_save_dir[BUF_LEN] = { 0 };
int len = strlen(root);
if (root[len - 1] == '/' || root[len - 1] == '\\')
{
sprintf_s(save_dir, BUF_LEN - 1, "%sprepare_data/%d", root, size);
}
else
{
sprintf_s(save_dir, BUF_LEN - 1, "%s/prepare_data/%d", root, size);
}
sprintf_s(pos_save_dir, BUF_LEN - 1, "%s/positive", save_dir);
sprintf_s(part_save_dir, BUF_LEN - 1, "%s/part", save_dir);
sprintf_s(neg_save_dir, BUF_LEN - 1, "%s/negative", save_dir);
std::string pos_file = std::string(save_dir) + "/pos.txt";
std::string part_file = std::string(save_dir) + "/part.txt";
std::string neg_file = std::string(save_dir) + "/neg.txt";
std::vector<std::string> image_files;
std::vector<std::vector<float>> all_boxes;
std::vector<std::vector<float>> all_probs;
if (!_load_anno_and_prob(anno_file, prob_file, image_files, all_boxes, all_probs))
{
printf("failed to load anno and prob file\n");
return false;
}
FILE* out_pos = 0, *out_part = 0, *out_neg = 0;
if (0 != fopen_s(&out_pos, pos_file.c_str(), "w"))
{
printf("failed to create file %s\n", pos_file.c_str());
return false;
}
if (0 != fopen_s(&out_part, part_file.c_str(), "w"))
{
printf("failed to create file %s\n", part_file.c_str());
fclose(out_pos);
return false;
}
if (0 != fopen_s(&out_neg, neg_file.c_str(), "w"))
{
printf("failed to create file %s\n", neg_file.c_str());
fclose(out_pos);
fclose(out_part);
return false;
}
int image_num = image_files.size();
int handled[1] = { 0 };
bool ret[1] = { true };
#pragma omp parallel for num_threads(thread_num) schedule(dynamic,10)
for (int i = 0; i < image_num; i++)
{
std::vector<std::string> pos_names, part_names, neg_names;
bool flag = true;
if (ret[0])
{
flag = _generate_data_for_one_image(i, size, image_files[i], all_boxes[i],
all_probs[i], prob_thresh,
pos_save_dir, part_save_dir, neg_save_dir,
base_num, pos_names, part_names, neg_names);
}
#pragma omp critical
{
if (!flag)
ret[0] = false;
for (int j = 0; j < pos_names.size(); j++)
{
fprintf(out_pos, "%s\n", pos_names[j].c_str());
}
for (int j = 0; j < part_names.size(); j++)
{
fprintf(out_part, "%s\n", part_names[j].c_str());
}
for (int j = 0; j < neg_names.size(); j++)
{
fprintf(out_neg, "%s\n", neg_names[j].c_str());
}
handled[0]++;
if (handled[0] % 100 == 0)
{
printf("%d handled\n", handled[0]);
}
}
}
fclose(out_pos);
fclose(out_part);
fclose(out_neg);
return ret[0];
}
static bool generate_landmark(int size, const char* root, const char* celeba_img_fold,
const char* celeba_bbox_file, const char* celeba_landmark_file,
int base_num = 1, int thread_num = 4)
{
const int BUF_LEN = 1000;
char save_dir[BUF_LEN] = { 0 };
char landmark_save_dir[BUF_LEN] = { 0 };
std::string celeba_img_root;
strcpy_s(save_dir, BUF_LEN - 1, celeba_img_fold);
int len = strlen(save_dir);
if (save_dir[len - 1] == '/' || save_dir[len - 1] == '\\')
save_dir[--len] = '\0';
celeba_img_root = save_dir;
len = strlen(root);
if (root[len - 1] == '/' || root[len - 1] == '\\')
{
sprintf_s(save_dir, BUF_LEN - 1, "%sprepare_data/%d", root, size);
}
else
{
sprintf_s(save_dir, BUF_LEN - 1, "%s/prepare_data/%d", root, size);
}
sprintf_s(landmark_save_dir, BUF_LEN - 1, "%s/landmark", save_dir);
std::string landmark_file = std::string(save_dir) + "/landmark.txt";
std::vector<std::string> image_files;
std::vector<std::vector<float>> all_boxes;
std::vector<std::vector<float>> all_landmarks;
if (!_load_celeba_bbox_and_landmarks(celeba_bbox_file, celeba_landmark_file, image_files, all_boxes, all_landmarks))
{
printf("failed to load bbox and landmark file\n");
return false;
}
FILE* out = 0;
if (0 != fopen_s(&out, landmark_file.c_str(), "w"))
{
printf("failed to create file %s\n", landmark_file.c_str());
return false;
}
int image_num = image_files.size();
int handled[1] = { 0 };
bool ret[1] = { true };
#pragma omp parallel for num_threads(thread_num) schedule(dynamic,10)
for (int i = 0; i < image_num; i++)
{
std::vector<std::string> landmark_names;
bool flag = true;
if (ret[0])
{
std::string img_file = celeba_img_root + "/" + image_files[i];
flag = _generate_landmark_for_one_image(i, size, img_file, all_boxes[i],
all_landmarks[i], landmark_save_dir, base_num, landmark_names);
}
#pragma omp critical
{
if (!flag)
ret[0] = false;
for (int j = 0; j < landmark_names.size(); j++)
{
fprintf(out, "%s\n", landmark_names[j].c_str());
}
handled[0]++;
if (handled[0] % 100 == 0)
{
printf("%d handled\n", handled[0]);
}
}
}
fclose(out);
return ret[0];
}
public:
static bool _is_blank_c(char c)
{
return c == ' ' || c == '\t' || c == '\n';
}
static std::vector<std::string> _split_blank(const char* str)
{
std::vector<std::string> out;
int len = strlen(str);
std::vector<char> buf(len + 1);
int i = 0, j = 0;
while (1)
{
//skip blank
for (; i < len && _is_blank_c(str[i]); i++);
if (i >= len)
break;
for (j = i; j < len && !_is_blank_c(str[j]); j++);
int tmp_len = j - i;
if (tmp_len == 0)
break;
memcpy(&buf[0], str + i, tmp_len * sizeof(char));
buf[tmp_len] = '\0';
out.push_back(std::string(&buf[0]));
i = j;
}
return out;
}
static float _IOU(const float cur_box[4], const std::vector<float>& all_boxes, const std::string mode = "Union")
{
int box_num = all_boxes.size() / 4;
//the iou
float max_iou = 0;
float area1 = (cur_box[2] - cur_box[0])*(cur_box[3] - cur_box[1]);
for (int i = 0; i < box_num; i++)
{
float maxY = __max(cur_box[1], all_boxes[i * 4 + 1]);
float maxX = __max(cur_box[0], all_boxes[i * 4 + 0]);
float minY = __min(cur_box[3], all_boxes[i * 4 + 3]);
float minX = __min(cur_box[2], all_boxes[i * 4 + 2]);
//maxX1 and maxY1 reuse
maxX = __max(minX - maxX + 1, 0);
maxY = __max(minY - maxY + 1, 0);
//IOU reuse for the area of two bbox
float IOU = maxX * maxY;
float area2 = (all_boxes[i * 4 + 2] - all_boxes[i * 4])
*(all_boxes[i * 4 + 3] - all_boxes[i * 4 + 1]);
if (!mode.compare("Union"))
IOU = IOU / (area1 + area2 - IOU);
else if (!mode.compare("Min"))
{
IOU = IOU / __min(area1, area2);
}
max_iou = __max(max_iou, IOU);
}
return max_iou;
}
static int _randint(int low, int high)
{
if (high > low)
return rand() % (high - low) + low;
else
return low;
}
static bool _load_anno_and_prob(const char* anno_file, const char* prob_file,
std::vector<std::string>& image_files, std::vector<std::vector<float>>& all_boxes,
std::vector<std::vector<float>>& all_probs)
{
image_files.clear();
all_boxes.clear();
all_probs.clear();
FILE* in = 0, *in2 = 0;
if (0 != fopen_s(&in, anno_file, "r"))
{
printf("failed to open %s\n", anno_file);
return false;
}
if (0 != fopen_s(&in2, prob_file, "r"))
{
printf("failed to open %s\n", prob_file);
fclose(in);
return false;
}
const int BUF_LEN = 1024 * 1024;
char* buf = (char*)malloc(BUF_LEN);
char* buf2 = (char*)malloc(BUF_LEN);
memset(buf, 0, BUF_LEN);
memset(buf2, 0, BUF_LEN);
int handled[1] = { 0 };
while (true)
{
buf[0] = '\0';
buf2[0] = '\0';
fgets(buf, BUF_LEN - 1, in);
fgets(buf2, BUF_LEN - 1, in2);
if (buf[0] == '\0')
break;
int len = strlen(buf);
if (buf[len - 1] == '\n')
buf[--len] = '\0';
int len2 = strlen(buf2);
if (buf2[len2 - 1] == '\n')
buf2[--len2] = '\0';
std::vector<std::string> splits = _split_blank(buf);
std::vector<std::string> splits2 = _split_blank(buf2);
int split_num = splits.size();
int split_num2 = splits2.size();
if (split_num % 4 != 1)
{
printf("something is wrong: %s\n", buf);
fclose(in);
fclose(in2);
free(buf);
free(buf2);
return false;
}
std::string& img_file = splits[0];
int bbox_num = split_num / 4;
if (split_num2 != bbox_num + 1)
{
printf("something is wrong: %s, %s\n", buf, buf2);
fclose(in);
fclose(in2);
free(buf);
free(buf2);
return false;
}
image_files.push_back(img_file);
std::vector<float> boxes(bbox_num * 4);
std::vector<float> probs(bbox_num);
for (int i = 0; i < bbox_num; i++)
{
boxes[i * 4] = atoi(splits[i * 4 + 1].c_str());
boxes[i * 4 + 1] = atoi(splits[i * 4 + 2].c_str());
boxes[i * 4 + 2] = atoi(splits[i * 4 + 3].c_str());
boxes[i * 4 + 3] = atoi(splits[i * 4 + 4].c_str());
probs[i] = atof(splits2[i + 1].c_str());
}
all_boxes.push_back(boxes);
all_probs.push_back(probs);
}
fclose(in);
fclose(in2);
free(buf);
free(buf2);
return true;
}
static bool _load_celeba_bbox_and_landmarks(const char* celeba_bbox_file,
const char* celeba_landmark_file, std::vector<std::string>& image_files,
std::vector<std::vector<float>>& all_boxes,
std::vector<std::vector<float>>& all_landmarks)
{
image_files.clear();
all_boxes.clear();
all_landmarks.clear();
FILE* in = 0, *in2 = 0;
if (0 != fopen_s(&in, celeba_bbox_file, "r"))
{
printf("failed to open %s\n", celeba_bbox_file);
return false;
}
if (0 != fopen_s(&in2, celeba_landmark_file, "r"))
{
printf("failed to open %s\n", celeba_landmark_file);
fclose(in);
return false;
}
int line_id = 0;
int image_num = 0;
const int BUF_LEN = 1024 * 1024;
char* buf = (char*)malloc(BUF_LEN);
char* buf2 = (char*)malloc(BUF_LEN);
memset(buf, 0, BUF_LEN);
memset(buf2, 0, BUF_LEN);
int handled[1] = { 0 };
while (true)
{
buf[0] = '\0';
buf2[0] = '\0';
fgets(buf, BUF_LEN - 1, in);
fgets(buf2, BUF_LEN - 1, in2);
if (buf[0] == '\0')
break;
if (line_id == 0)
{
sscanf_s(buf, "%d", &image_num);
}
if (line_id <= 1)
{
line_id++;
continue;
}
if (line_id + 2 >= image_num)
break;
line_id++;
int len = strlen(buf);
if (buf[len - 1] == '\n')
buf[--len] = '\0';
int len2 = strlen(buf2);
if (buf2[len2 - 1] == '\n')
buf2[--len2] = '\0';
std::vector<std::string> splits = _split_blank(buf);
std::vector<std::string> splits2 = _split_blank(buf2);
int split_num = splits.size();
int split_num2 = splits2.size();
if (split_num % 4 != 1)
{
printf("something is wrong: %s\n", buf);
fclose(in);
fclose(in2);
free(buf);
free(buf2);
return false;
}
std::string& img_file = splits[0];
int bbox_num = split_num / 4;
if (split_num2 != bbox_num*10 + 1)
{
printf("something is wrong: %s, %s\n", buf, buf2);
fclose(in);
fclose(in2);
free(buf);
free(buf2);
return false;
}
image_files.push_back(img_file);
std::vector<float> boxes(bbox_num * 4);
std::vector<float> landmarks(bbox_num * 10);
for (int i = 0; i < bbox_num; i++)
{
for (int j = 0; j < 4; j++)
boxes[i * 4 + j] = atoi(splits[i * 4 + j + 1].c_str());
for (int j = 0; j < 10; j++)
landmarks[i * 10 + j] = atof(splits2[i * 10 + j + 1].c_str());
}
all_boxes.push_back(boxes);
all_landmarks.push_back(landmarks);
}
fclose(in);
fclose(in2);
free(buf);
free(buf2);
return true;
}
static bool _generate_data_for_one_image(int idx, int size, const std::string& image_file,
const std::vector<float>& boxes, const std::vector<float>& probs, float prob_thresh,
const std::string& pos_save_dir, const std::string& part_save_dir,
const std::string& neg_save_dir, int base_num, std::vector<std::string>& pos_names,
std::vector<std::string>& part_names, std::vector<std::string>& neg_names)
{
const int BUF_LEN = 500;
char tmp_buf[BUF_LEN];
std::string file_name, line;
pos_names.clear();
part_names.clear();
neg_names.clear();
int box_num = boxes.size() / 4;
cv::Mat img = cv::imread(image_file, 1);
if (img.empty())
{
printf("failed to load image %s\n", image_file.c_str());
return false;
}
int width = img.cols;
int height = img.rows;
int min_size = __min(width, height) / 2;
if (min_size <= size)
{
return true;
}
cv::Mat resized_im, brighter_im, darker_im;
// neg
int neg_num = 0, pos_num = 0, part_num = 0;
while (neg_num < base_num * 50)
{
int cur_size = _randint(size, min_size);
int nx = rand() % (width - cur_size);
int ny = rand() % (height - cur_size);
float crop_box[4] = { nx, ny, nx + cur_size, ny + cur_size };
float iou = _IOU(crop_box, boxes);
cv::Mat cropped_im = img(cv::Rect(cv::Point(crop_box[0], crop_box[1]), cv::Point(crop_box[2], crop_box[3])));
if (cropped_im.empty())
continue;
if (iou < 0.3)
{
cv::resize(cropped_im, resized_im, cv::Size(size, size));
resized_im.convertTo(brighter_im, resized_im.type(), 1.25);
resized_im.convertTo(darker_im, resized_im.type(), 0.8);
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, neg_num);
file_name = neg_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, resized_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 0", idx, neg_num);
line = neg_save_dir + "/" + std::string(tmp_buf);
neg_names.push_back(line);
neg_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, neg_num);
file_name = neg_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, brighter_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 0", idx, neg_num);
line = neg_save_dir + "/" + std::string(tmp_buf);
neg_names.push_back(line);
neg_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, neg_num);
file_name = neg_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, darker_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 0", idx, neg_num);
line = neg_save_dir + "/" + std::string(tmp_buf);
neg_names.push_back(line);
neg_num++;
}
}
for (int bb = 0; bb < box_num; bb++)
{
int x1 = boxes[bb * 4];
int y1 = boxes[bb * 4 + 1];
int x2 = boxes[bb * 4 + 2];
int y2 = boxes[bb * 4 + 3];
int w = x2 - x1 + 1;
int h = y2 - y1 + 1;
if (__max(w, h) < 40 || x1 < 0 || y1 < 0 || probs[bb] < prob_thresh)
continue;
//neg
for (int i = 0; i < base_num * 2; i++)
{
int cur_size = _randint(size, min_size);
int delta_x = _randint(__max(-cur_size, -x1), w);
int delta_y = _randint(__max(-cur_size, -y1), h);
int nx1 = __max(0, x1 + delta_x);
int ny1 = __max(0, y1 + delta_y);
if (nx1 + cur_size > width || ny1 + cur_size > height)
continue;
float crop_box[4] = { nx1, ny1, nx1 + cur_size, ny1 + cur_size };
float iou = _IOU(crop_box, boxes);
cv::Mat cropped_im = img(cv::Rect(cv::Point(crop_box[0], crop_box[1]), cv::Point(crop_box[2], crop_box[3])));
if (cropped_im.empty())
continue;
if (iou < 0.3)
{
cv::resize(cropped_im, resized_im, cv::Size(size, size));
resized_im.convertTo(brighter_im, resized_im.type(), 1.25);
resized_im.convertTo(darker_im, resized_im.type(), 0.8);
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, neg_num);
file_name = neg_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, resized_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 0", idx, neg_num);
line = neg_save_dir + "/" + std::string(tmp_buf);
neg_names.push_back(line);
neg_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, neg_num);
file_name = neg_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, brighter_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 0", idx, neg_num);
line = neg_save_dir + "/" + std::string(tmp_buf);
neg_names.push_back(line);
neg_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, neg_num);
file_name = neg_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, darker_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 0", idx, neg_num);
line = neg_save_dir + "/" + std::string(tmp_buf);
neg_names.push_back(line);
neg_num++;
}
}
//pos & part
for (int i = 0; i < base_num * 8; i++)
{
int cur_size = _randint(__min(w, h) * 0.8, ceil(1.25 * __max(w, h)));
int delta_x = _randint(-w * 0.2, w * 0.2);
int delta_y = _randint(-h * 0.2, h * 0.2);
int nx1 = int(__max(x1 + w / 2 + delta_x - cur_size / 2, 0));
int ny1 = int(__max(y1 + h / 2 + delta_y - cur_size / 2, 0));
int nx2 = nx1 + cur_size;
int ny2 = ny1 + cur_size;
if (nx2 > width || ny2 > height)
continue;
float crop_box[4] = { nx1, ny1, nx1 + cur_size, ny1 + cur_size };
float iou = _IOU(crop_box, boxes);
cv::Mat cropped_im = img(cv::Rect(cv::Point(crop_box[0], crop_box[1]), cv::Point(crop_box[2], crop_box[3])));
if (cropped_im.empty())
continue;
float offset_x1 = (x1 - nx1) / float(cur_size);
float offset_y1 = (y1 - ny1) / float(cur_size);
float offset_x2 = (x2 - nx2) / float(cur_size);
float offset_y2 = (y2 - ny2) / float(cur_size);
if (iou >= 0.65)
{
cv::resize(cropped_im, resized_im, cv::Size(size, size));
resized_im.convertTo(brighter_im, resized_im.type(), 1.25);
resized_im.convertTo(darker_im, resized_im.type(), 0.8);
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, pos_num);
file_name = pos_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, resized_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 1 %.2f %.2f %.2f %.2f", idx, pos_num,
offset_x1, offset_y1, offset_x2, offset_y2);
line = pos_save_dir + "/" + std::string(tmp_buf);
pos_names.push_back(line);
pos_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, pos_num);
file_name = pos_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, brighter_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 1 %.2f %.2f %.2f %.2f", idx, pos_num,
offset_x1, offset_y1, offset_x2, offset_y2);
line = pos_save_dir + "/" + std::string(tmp_buf);
pos_names.push_back(line);
pos_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, pos_num);
file_name = pos_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, darker_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d 1 %.2f %.2f %.2f %.2f", idx, pos_num,
offset_x1, offset_y1, offset_x2, offset_y2);
line = pos_save_dir + "/" + std::string(tmp_buf);
pos_names.push_back(line);
pos_num++;
}
else if (iou >= 0.4)
{
if (rand() % 100 <= 40)
{
cv::resize(cropped_im, resized_im, cv::Size(size, size));
resized_im.convertTo(brighter_im, resized_im.type(), 1.25);
resized_im.convertTo(darker_im, resized_im.type(), 0.8);
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, part_num);
file_name = part_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, resized_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d -1 %.2f %.2f %.2f %.2f", idx, part_num,
offset_x1, offset_y1, offset_x2, offset_y2);
line = part_save_dir + "/" + std::string(tmp_buf);
part_names.push_back(line);
part_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, part_num);
file_name = part_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, brighter_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d -1 %.2f %.2f %.2f %.2f", idx, part_num,
offset_x1, offset_y1, offset_x2, offset_y2);
line = part_save_dir + "/" + std::string(tmp_buf);
part_names.push_back(line);
part_num++;
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d.jpg", idx, part_num);
file_name = part_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, darker_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN-1, "%d_%d -1 %.2f %.2f %.2f %.2f", idx, part_num,
offset_x1, offset_y1, offset_x2, offset_y2);
line = part_save_dir + "/" + std::string(tmp_buf);
part_names.push_back(line);
part_num++;
}
}
}
}
return true;
}
static bool _generate_landmark_for_one_image(int idx, int size, const std::string& image_file,
const std::vector<float>& boxes, const std::vector<float>& landmarks,
const std::string& landmark_save_dir, int base_num, std::vector<std::string>& landmark_names)
{
const int BUF_LEN = 500;
char tmp_buf[BUF_LEN];
std::string file_name, line;
landmark_names.clear();
int box_num = boxes.size() / 4;
cv::Mat img = cv::imread(image_file, 1);
if (img.empty())
{
printf("failed to load image %s\n", image_file.c_str());
return false;
}
int width = img.cols;
int height = img.rows;
int min_size = __min(width, height) / 2;
if (min_size <= size)
{
return true;
}
cv::Mat rot_im;
cv::Mat resized_im, brighter_im, darker_im;
double angles[13] = { 0,-15,-30,-45,-60,-75,-90,15,30,45,60,75,90 };
int angle_num = 13;
float rot_landmark[10];
int landmark_num = 0;
for (int bb = 0; bb < box_num; bb++)
{
int x1 = boxes[bb * 4];
int y1 = boxes[bb * 4 + 1];
int w = boxes[bb * 4 + 2];
int h = boxes[bb * 4 + 3];
if (__max(w, h) < 40 || x1 < 0 || y1 < 0)
continue;
float cx = landmarks[bb * 10 + 4];
float cy = landmarks[bb * 10 + 5];
for (int aa = 0; aa < angle_num; aa++)
{
cv::Mat rotM = cv::getRotationMatrix2D(cv::Point2f(cx, cy), angles[aa], 1);
for (int i = 0; i < 5; i++)
{
rot_landmark[i * 2 + 0] = rotM.at<double>(0, 0)*landmarks[bb * 10 + i * 2]
+ rotM.at<double>(0, 1)*landmarks[bb * 10 + i * 2 + 1]
+ rotM.at<double>(0, 2);
rot_landmark[i * 2 + 1] = rotM.at<double>(1, 0)*landmarks[bb * 10 + i * 2]
+ rotM.at<double>(1, 1)*landmarks[bb * 10 + i * 2 + 1]
+ rotM.at<double>(1, 2);
}
cv::warpAffine(img, rot_im, rotM, cv::Size(width, height));
for (int i = 0; i < base_num; i++)
{
int cur_size = _randint(__min(w, h) * 0.8, ceil(1.25 * __max(w, h)));
int delta_x = _randint(-w * 0.15, w * 0.15);
int delta_y = _randint(-h * 0.15, h * 0.15);
int nx1 = int(__max(x1 + w / 2 + delta_x - cur_size / 2, 0));
int ny1 = int(__max(y1 + h / 2 + delta_y - cur_size / 2, 0));
int nx2 = nx1 + cur_size;
int ny2 = ny1 + cur_size;
if (nx2 > width || ny2 > height)
continue;
float crop_box[4] = { nx1, ny1, nx1 + cur_size, ny1 + cur_size };
cv::Mat cropped_im = img(cv::Rect(cv::Point(crop_box[0], crop_box[1]), cv::Point(crop_box[2], crop_box[3])));
if (cropped_im.empty())
continue;
float offset_x1 = (rot_landmark[0] - nx1 + 0.5) / float(cur_size);
float offset_y1 = (rot_landmark[1] - ny1 + 0.5) / float(cur_size);
float offset_x2 = (rot_landmark[2] - nx1 + 0.5) / float(cur_size);
float offset_y2 = (rot_landmark[3] - ny1 + 0.5) / float(cur_size);
float offset_x3 = (rot_landmark[4] - nx1 + 0.5) / float(cur_size);
float offset_y3 = (rot_landmark[5] - ny1 + 0.5) / float(cur_size);
float offset_x4 = (rot_landmark[6] - nx1 + 0.5) / float(cur_size);
float offset_y4 = (rot_landmark[7] - ny1 + 0.5) / float(cur_size);
float offset_x5 = (rot_landmark[8] - nx1 + 0.5) / float(cur_size);
float offset_y5 = (rot_landmark[9] - ny1 + 0.5) / float(cur_size);
cv::resize(cropped_im, resized_im, cv::Size(size, size));
resized_im.convertTo(brighter_im, resized_im.type(), 1.25);
resized_im.convertTo(darker_im, resized_im.type(), 0.8);
sprintf_s(tmp_buf, BUF_LEN - 1, "%d_%d.jpg", idx, landmark_num);
file_name = landmark_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, resized_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN - 1, "%d_%d -2 %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f",
idx, landmark_num,
offset_x1, offset_x2, offset_x3, offset_x4, offset_x5,
offset_y1, offset_y2, offset_y3, offset_y4, offset_y5);
line = landmark_save_dir + "/" + std::string(tmp_buf);
landmark_names.push_back(line);
landmark_num++;
sprintf_s(tmp_buf, BUF_LEN - 1, "%d_%d.jpg", idx, landmark_num);
file_name = landmark_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, brighter_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN - 1, "%d_%d -2 %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f",
idx, landmark_num,
offset_x1, offset_x2, offset_x3, offset_x4, offset_x5,
offset_y1, offset_y2, offset_y3, offset_y4, offset_y5);
line = landmark_save_dir + "/" + std::string(tmp_buf);
landmark_names.push_back(line);
landmark_num++;
sprintf_s(tmp_buf, BUF_LEN - 1, "%d_%d.jpg", idx, landmark_num);
file_name = landmark_save_dir + "/" + std::string(tmp_buf);
if (!cv::imwrite(file_name, darker_im))
{
printf("failed to write image %s\n", file_name.c_str());
return false;
}
sprintf_s(tmp_buf, BUF_LEN - 1, "%d_%d -2 %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f",
idx, landmark_num,
offset_x1, offset_x2, offset_x3, offset_x4, offset_x5,
offset_y1, offset_y2, offset_y3, offset_y4, offset_y5);
line = landmark_save_dir + "/" + std::string(tmp_buf);
landmark_names.push_back(line);
landmark_num++;
}
}
}
return true;
}
};
}
#endif
|
target-16.c | extern void abort (void);
void
foo (int n)
{
int a[n], i, err;
for (i = 0; i < n; i++)
a[i] = 7 * i;
#pragma omp target firstprivate (a) map(from:err) private (i)
{
err = 0;
for (i = 0; i < n; i++)
if (a[i] != 7 * i)
err = 1;
}
if (err)
abort ();
}
void
bar (int n)
{
int a[n], i, err;
#pragma omp target private (a) map(from:err)
{
#pragma omp parallel for
for (i = 0; i < n; i++)
a[i] = 7 * i;
err = 0;
#pragma omp parallel for reduction(|:err)
for (i = 0; i < n; i++)
if (a[i] != 7 * i)
err |= 1;
}
if (err)
abort ();
}
int
main ()
{
foo (7);
bar (7);
return 0;
}
|
GB_split_sparse.c | //------------------------------------------------------------------------------
// GB_split_sparse: split a sparse/hypersparse matrix into tiles
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
#define GB_FREE_WORK \
GB_WERK_POP (C_ek_slicing, int64_t) ; \
GB_FREE_WERK (&Wp, Wp_size) ;
#define GB_FREE_ALL \
GB_FREE_WORK ; \
GB_Matrix_free (&C) ;
#include "GB_split.h"
GrB_Info GB_split_sparse // split a sparse matrix
(
GrB_Matrix *Tiles, // 2D row-major array of size m-by-n
const GrB_Index m,
const GrB_Index n,
const int64_t *restrict Tile_rows, // size m+1
const int64_t *restrict Tile_cols, // size n+1
const GrB_Matrix A, // input matrix
GB_Context Context
)
{
//--------------------------------------------------------------------------
// get inputs
//--------------------------------------------------------------------------
GrB_Info info ;
int A_sparsity = GB_sparsity (A) ;
bool A_is_hyper = (A_sparsity == GxB_HYPERSPARSE) ;
ASSERT (A_is_hyper || A_sparsity == GxB_SPARSE) ;
GrB_Matrix C = NULL ;
GB_WERK_DECLARE (C_ek_slicing, int64_t) ;
ASSERT_MATRIX_OK (A, "A sparse for split", GB0) ;
int sparsity_control = A->sparsity_control ;
float hyper_switch = A->hyper_switch ;
bool csc = A->is_csc ;
GrB_Type atype = A->type ;
int64_t avlen = A->vlen ;
int64_t avdim = A->vdim ;
size_t asize = atype->size ;
GB_GET_NTHREADS_MAX (nthreads_max, chunk, Context) ;
int64_t nouter = csc ? n : m ;
int64_t ninner = csc ? m : n ;
const int64_t *Tile_vdim = csc ? Tile_cols : Tile_rows ;
const int64_t *Tile_vlen = csc ? Tile_rows : Tile_cols ;
int64_t anvec = A->nvec ;
const int64_t *restrict Ap = A->p ;
const int64_t *restrict Ah = A->h ;
const int64_t *restrict Ai = A->i ;
const bool A_iso = A->iso ;
//--------------------------------------------------------------------------
// allocate workspace
//--------------------------------------------------------------------------
size_t Wp_size = 0 ;
int64_t *restrict Wp = NULL ;
Wp = GB_MALLOC_WERK (anvec, int64_t, &Wp_size) ;
if (Wp == NULL)
{
// out of memory
GB_FREE_ALL ;
return (GrB_OUT_OF_MEMORY) ;
}
GB_memcpy (Wp, Ap, anvec * sizeof (int64_t), nthreads_max) ;
//--------------------------------------------------------------------------
// split A into tiles
//--------------------------------------------------------------------------
int64_t akend = 0 ;
for (int64_t outer = 0 ; outer < nouter ; outer++)
{
//----------------------------------------------------------------------
// find the starting and ending vector of these tiles
//----------------------------------------------------------------------
// The tile appears in vectors avstart:avend-1 of A, and indices
// aistart:aiend-1.
const int64_t avstart = Tile_vdim [outer] ;
const int64_t avend = Tile_vdim [outer+1] ;
int64_t akstart = akend ;
if (A_is_hyper)
{
// A is hypersparse: look for vector avend in the A->h hyper list.
// The vectors to handle for this outer loop are in
// Ah [akstart:akend-1].
akend = akstart ;
int64_t pright = anvec - 1 ;
bool found ;
GB_SPLIT_BINARY_SEARCH (avend, Ah, akend, pright, found) ;
ASSERT (GB_IMPLIES (akstart <= akend-1, Ah [akend-1] < avend)) ;
}
else
{
// A is sparse; the vectors to handle are akstart:akend-1
akend = avend ;
}
// # of vectors in all tiles in this outer loop
int64_t cnvec = akend - akstart ;
int nth = GB_nthreads (cnvec, chunk, nthreads_max) ;
//----------------------------------------------------------------------
// create all tiles for vectors akstart:akend-1 in A
//----------------------------------------------------------------------
for (int64_t inner = 0 ; inner < ninner ; inner++)
{
//------------------------------------------------------------------
// allocate C, C->p, and C->h for this tile
//------------------------------------------------------------------
const int64_t aistart = Tile_vlen [inner] ;
const int64_t aiend = Tile_vlen [inner+1] ;
const int64_t cvdim = avend - avstart ;
const int64_t cvlen = aiend - aistart ;
C = NULL ;
GB_OK (GB_new (&C, false, // new header
atype, cvlen, cvdim, GB_Ap_malloc, csc, A_sparsity,
hyper_switch, cnvec, Context)) ;
C->sparsity_control = sparsity_control ;
C->hyper_switch = hyper_switch ;
C->nvec = cnvec ;
int64_t *restrict Cp = C->p ;
int64_t *restrict Ch = C->h ;
//------------------------------------------------------------------
// determine the boundaries of this tile
//------------------------------------------------------------------
int64_t k ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (k = akstart ; k < akend ; k++)
{
int64_t pA = Wp [k] ;
const int64_t pA_end = Ap [k+1] ;
const int64_t aknz = pA_end - pA ;
if (aknz == 0 || Ai [pA] >= aiend)
{
// this vector of C is empty
}
else if (aknz > 256)
{
// use binary search to find aiend
bool found ;
int64_t pright = pA_end - 1 ;
GB_SPLIT_BINARY_SEARCH (aiend, Ai, pA, pright, found) ;
#ifdef GB_DEBUG
// check the results with a linear search
int64_t p2 = Wp [k] ;
for ( ; p2 < Ap [k+1] ; p2++)
{
if (Ai [p2] >= aiend) break ;
}
ASSERT (pA == p2) ;
#endif
}
else
{
// use a linear-time search to find aiend
for ( ; pA < pA_end ; pA++)
{
if (Ai [pA] >= aiend) break ;
}
#ifdef GB_DEBUG
// check the results with a binary search
bool found ;
int64_t p2 = Wp [k] ;
int64_t p2_end = Ap [k+1] - 1 ;
GB_SPLIT_BINARY_SEARCH (aiend, Ai, p2, p2_end, found) ;
ASSERT (pA == p2) ;
#endif
}
Cp [k-akstart] = (pA - Wp [k]) ; // # of entries in this vector
if (A_is_hyper)
{
Ch [k-akstart] = Ah [k] - avstart ;
}
}
GB_cumsum (Cp, cnvec, &(C->nvec_nonempty), nth, Context) ;
int64_t cnz = Cp [cnvec] ;
//------------------------------------------------------------------
// allocate C->i and C->x for this tile
//------------------------------------------------------------------
// set C->iso = A_iso OK
GB_OK (GB_bix_alloc (C, cnz, GxB_SPARSE, false, true, A_iso,
Context)) ;
int64_t *restrict Ci = C->i ;
C->magic = GB_MAGIC ; // for GB_nnz_held(C), to slice C
//------------------------------------------------------------------
// copy the tile from A into C
//------------------------------------------------------------------
int C_ntasks, C_nthreads ;
GB_SLICE_MATRIX (C, 8, chunk) ;
bool done = false ;
if (A_iso)
{
//--------------------------------------------------------------
// split an iso matrix A into an iso tile C
//--------------------------------------------------------------
// A is iso and so is C; copy the iso entry
GBURBLE ("(iso sparse split) ") ;
memcpy (C->x, A->x, asize) ;
#define GB_ISO_SPLIT
#define GB_COPY(pC,pA) ;
#include "GB_split_sparse_template.c"
}
else
{
//--------------------------------------------------------------
// split a non-iso matrix A into an non-iso tile C
//--------------------------------------------------------------
#ifndef GBCOMPACT
// no typecasting needed
switch (asize)
{
#undef GB_COPY
#define GB_COPY(pC,pA) Cx [pC] = Ax [pA] ;
case GB_1BYTE : // uint8, int8, bool, or 1-byte user-defined
#define GB_CTYPE uint8_t
#include "GB_split_sparse_template.c"
break ;
case GB_2BYTE : // uint16, int16, or 2-byte user-defined
#define GB_CTYPE uint16_t
#include "GB_split_sparse_template.c"
break ;
case GB_4BYTE : // uint32, int32, float, or 4-byte user
#define GB_CTYPE uint32_t
#include "GB_split_sparse_template.c"
break ;
case GB_8BYTE : // uint64, int64, double, float complex,
// or 8-byte user defined
#define GB_CTYPE uint64_t
#include "GB_split_sparse_template.c"
break ;
case GB_16BYTE : // double complex or 16-byte user-defined
#define GB_CTYPE GB_blob16
// #define GB_CTYPE uint64_t
// #undef GB_COPY
// #define GB_COPY(pC,pA) \
// Cx [2*pC ] = Ax [2*pA ] ; \
// Cx [2*pC+1] = Ax [2*pA+1] ;
#include "GB_split_sparse_template.c"
break ;
default:;
}
#endif
}
if (!done)
{
// user-defined types
#define GB_CTYPE GB_void
#undef GB_COPY
#define GB_COPY(pC,pA) \
memcpy (Cx + (pC)*asize, Ax +(pA)*asize, asize) ;
#include "GB_split_sparse_template.c"
}
//------------------------------------------------------------------
// free workspace
//------------------------------------------------------------------
GB_WERK_POP (C_ek_slicing, int64_t) ;
//------------------------------------------------------------------
// advance to the next tile
//------------------------------------------------------------------
if (inner < ninner - 1)
{
int64_t k ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (k = akstart ; k < akend ; k++)
{
int64_t ck = k - akstart ;
int64_t cknz = Cp [ck+1] - Cp [ck] ;
Wp [k] += cknz ;
}
}
//------------------------------------------------------------------
// conform the tile and save it in the Tiles array
//------------------------------------------------------------------
ASSERT_MATRIX_OK (C, "C for GB_split", GB0) ;
GB_OK (GB_hypermatrix_prune (C, Context)) ;
GB_OK (GB_conform (C, Context)) ;
if (csc)
{
GB_TILE (Tiles, inner, outer) = C ;
}
else
{
GB_TILE (Tiles, outer, inner) = C ;
}
ASSERT_MATRIX_OK (C, "final tile C for GB_split", GB0) ;
C = NULL ;
}
}
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
}
|
test_verify.c | #include "config.h"
#include <limits.h>
#include <math.h>
#include <stddef.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <errno.h>
#include <unistd.h>
#include "kseq.h"
KSEQ_INIT(int, read)
#include "parasail.h"
#include "parasail/cpuid.h"
#include "parasail/memory.h"
#include "parasail/matrix_lookup.h"
#include "func_verify.h"
static int verbose = 0;
typedef struct gap_score {
int open;
int extend;
} gap_score_t;
gap_score_t gap_scores[] = {
{10,1},
{10,2},
{14,2},
{40,2},
{INT_MIN,INT_MIN}
};
static inline void parse_sequences(
const char *filename,
char ***strings_,
unsigned long **sizes_,
unsigned long *count_)
{
FILE* fp;
kseq_t *seq = NULL;
int l = 0;
char **strings = NULL;
unsigned long *sizes = NULL;
unsigned long count = 0;
unsigned long memory = 1000;
fp = fopen(filename, "r");
if(fp == NULL) {
perror("fopen");
exit(1);
}
strings = malloc(sizeof(char*) * memory);
sizes = malloc(sizeof(unsigned long) * memory);
seq = kseq_init(fileno(fp));
while ((l = kseq_read(seq)) >= 0) {
strings[count] = strdup(seq->seq.s);
if (NULL == strings[count]) {
perror("strdup");
exit(1);
}
sizes[count] = seq->seq.l;
++count;
if (count >= memory) {
char **new_strings = NULL;
unsigned long *new_sizes = NULL;
memory *= 2;
new_strings = realloc(strings, sizeof(char*) * memory);
if (NULL == new_strings) {
perror("realloc");
exit(1);
}
strings = new_strings;
new_sizes = realloc(sizes, sizeof(unsigned long) * memory);
if (NULL == new_sizes) {
perror("realloc");
exit(1);
}
sizes = new_sizes;
}
}
kseq_destroy(seq);
fclose(fp);
*strings_ = strings;
*sizes_ = sizes;
*count_ = count;
}
static inline unsigned long binomial_coefficient(
unsigned long n,
unsigned long k)
{
/* from http://blog.plover.com/math/choose.html */
unsigned long r = 1;
unsigned long d;
if (k > n) {
return 0;
}
for (d = 1; d <= k; d++) {
r *= n--;
r /= d;
}
return r;
}
static inline void k_combination2(
unsigned long pos,
unsigned long *a,
unsigned long *b)
{
double s;
double i = floor(sqrt(2.0 * pos)) - 1.0;
if (i <= 1.0) {
i = 1.0;
}
s = i * (i - 1.0) / 2.0;
while (pos - s >= i) {
s += i;
i += 1;
}
*a = (unsigned long)(pos - s);
*b = (unsigned long)(i);
}
static void check_functions(
parasail_function_group_t f,
char **sequences,
unsigned long *sizes,
unsigned long pair_limit,
const parasail_matrix_t *matrix_,
gap_score_t gap)
{
const parasail_function_info_t *functions = f.fs;
unsigned long matrix_index = 0;
unsigned long gap_index = 0;
unsigned long function_index = 0;
unsigned long pair_index = 0;
parasail_function_t *reference_function = NULL;
const parasail_matrix_t ** matrices = parasail_matrices;
const parasail_matrix_t * single_matrix[] = {
matrix_,
NULL
};
if (NULL != matrix_) {
matrices = single_matrix;
}
printf("checking %s functions\n", f.name);
for (matrix_index=0; NULL!=matrices[matrix_index]; ++matrix_index) {
const parasail_matrix_t *matrix = matrices[matrix_index];
const char *matrixname = matrix->name;
if (verbose) printf("\t%s\n", matrixname);
for (gap_index=0; INT_MIN!=gap_scores[gap_index].open; ++gap_index) {
int open = gap_scores[gap_index].open;
int extend = gap_scores[gap_index].extend;
if (gap.open != INT_MIN && gap.extend != INT_MIN) {
open = gap.open;
extend = gap.extend;
}
if (verbose) printf("\t\topen=%d extend=%d\n", open, extend);
reference_function = functions[0].pointer;
for (function_index=1;
NULL!=functions[function_index].pointer;
++function_index) {
if (verbose) printf("\t\t\t%s\n", functions[function_index].name);
unsigned long saturated = 0;
#pragma omp parallel for
for (pair_index=0; pair_index<pair_limit; ++pair_index) {
parasail_result_t *reference_result = NULL;
parasail_result_t *result = NULL;
unsigned long a = 0;
unsigned long b = 1;
k_combination2(pair_index, &a, &b);
//printf("\t\t\t\tpair=%lu (%lu,%lu)\n", pair_index, a, b);
reference_result = reference_function(
sequences[a], sizes[a],
sequences[b], sizes[b],
open, extend,
matrix);
result = functions[function_index].pointer(
sequences[a], sizes[a],
sequences[b], sizes[b],
open, extend,
matrix);
if (result->saturated) {
/* no point in comparing a result that saturated */
parasail_result_free(reference_result);
parasail_result_free(result);
#pragma omp atomic
saturated += 1;
continue;
}
if (reference_result->score != result->score) {
#pragma omp critical(printer)
{
printf("%s(%lu,%lu,%d,%d,%s) wrong score (%d!=%d)\n",
functions[function_index].name,
a, b, open, extend,
matrixname,
reference_result->score, result->score);
}
}
if (reference_result->end_query != result->end_query) {
#pragma omp critical(printer)
{
printf("%s(%lu,%lu,%d,%d,%s) wrong end_query (%d!=%d)\n",
functions[function_index].name,
a, b, open, extend,
matrixname,
reference_result->end_query, result->end_query);
}
}
if (reference_result->end_ref != result->end_ref) {
#pragma omp critical(printer)
{
printf("%s(%lu,%lu,%d,%d,%s) wrong end_ref (%d!=%d)\n",
functions[function_index].name,
a, b, open, extend,
matrixname,
reference_result->end_ref, result->end_ref);
}
}
if (reference_result->matches != result->matches) {
#pragma omp critical(printer)
{
printf("%s(%lu,%lu,%d,%d,%s) wrong matches (%d!=%d)\n",
functions[function_index].name,
a, b, open, extend,
matrixname,
reference_result->matches, result->matches);
}
}
if (reference_result->similar != result->similar) {
#pragma omp critical(printer)
{
printf("%s(%lu,%lu,%d,%d,%s) wrong similar (%d!=%d)\n",
functions[function_index].name,
a, b, open, extend,
matrixname,
reference_result->similar, result->similar);
}
}
if (reference_result->length != result->length) {
#pragma omp critical(printer)
{
printf("%s(%lu,%lu,%d,%d,%s) wrong length (%d!=%d)\n",
functions[function_index].name,
a, b, open, extend,
matrixname,
reference_result->length, result->length);
}
}
parasail_result_free(reference_result);
parasail_result_free(result);
}
if (verbose && saturated) {
printf("%s %d %d %s saturated %lu times\n",
functions[function_index].name,
open, extend,
matrixname,
saturated);
}
}
if (gap.open != INT_MIN && gap.extend != INT_MIN) {
/* user-specified gap, don't loop */
break;
}
}
}
}
int main(int argc, char **argv)
{
unsigned long i = 0;
unsigned long seq_count = 0;
unsigned long limit = 0;
char **sequences = NULL;
unsigned long *sizes = NULL;
char *endptr = NULL;
char *filename = NULL;
int c = 0;
int test_scores = 1;
int test_stats = 0;
char *matrixname = NULL;
const parasail_matrix_t *matrix = NULL;
gap_score_t gap = {INT_MIN,INT_MIN};
int do_sse2 = 1;
int do_sse41 = 1;
int do_avx2 = 1;
int do_disp = 1;
int do_nw = 1;
int do_sg = 1;
int do_sw = 1;
while ((c = getopt(argc, argv, "f:m:n:o:e:vsSi:")) != -1) {
switch (c) {
case 'f':
filename = optarg;
break;
case 'm':
matrixname = optarg;
break;
case 'n':
errno = 0;
seq_count = strtol(optarg, &endptr, 10);
if (errno) {
perror("strtol");
exit(1);
}
break;
case 'o':
errno = 0;
gap.open = strtol(optarg, &endptr, 10);
if (errno) {
perror("strtol gap.open");
exit(1);
}
break;
case 'e':
errno = 0;
gap.extend = strtol(optarg, &endptr, 10);
if (errno) {
perror("strtol gap.extend");
exit(1);
}
break;
case 'v':
verbose = 1;
break;
case 's':
test_stats = 1;
break;
case 'S':
test_scores = 0;
break;
case 'i':
do_sse2 = (NULL == strstr(optarg, "sse2"));
do_sse41 = (NULL == strstr(optarg, "sse41"));
do_avx2 = (NULL == strstr(optarg, "avx2"));
do_disp = (NULL == strstr(optarg, "disp"));
do_nw = (NULL == strstr(optarg, "nw"));
do_sg = (NULL == strstr(optarg, "sg"));
do_sw = (NULL == strstr(optarg, "sw"));
break;
case '?':
if (optopt == 'f' || optopt == 'n') {
fprintf(stderr,
"Option -%c requires an argument.\n",
optopt);
}
else if (isprint(optopt)) {
fprintf(stderr, "Unknown option `-%c'.\n",
optopt);
}
else {
fprintf(stderr,
"Unknown option character `\\x%x'.\n",
optopt);
}
exit(1);
default:
fprintf(stderr, "default case in getopt\n");
exit(1);
}
}
if (filename) {
parse_sequences(filename, &sequences, &sizes, &seq_count);
}
else {
fprintf(stderr, "no filename specified\n");
exit(1);
}
/* select the matrix */
if (matrixname) {
matrix = parasail_matrix_lookup(matrixname);
if (NULL == matrix) {
fprintf(stderr, "Specified substitution matrix not found.\n");
exit(1);
}
}
limit = binomial_coefficient(seq_count, 2);
printf("%lu choose 2 is %lu\n", seq_count, limit);
#if HAVE_SSE2
if (do_sse2 && parasail_can_use_sse2()) {
if (test_scores) {
if (do_nw) check_functions(parasail_nw_sse2, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_sse2, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_sse2, sequences, sizes, limit, matrix, gap);
}
if (test_stats) {
if (do_nw) check_functions(parasail_nw_stats_sse2, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_stats_sse2, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_stats_sse2, sequences, sizes, limit, matrix, gap);
}
}
#endif
#if HAVE_SSE41
if (do_sse41 && parasail_can_use_sse41()) {
if (test_scores) {
if (do_nw) check_functions(parasail_nw_sse41, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_sse41, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_sse41, sequences, sizes, limit, matrix, gap);
}
if (test_stats) {
if (do_nw) check_functions(parasail_nw_stats_sse41, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_stats_sse41, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_stats_sse41, sequences, sizes, limit, matrix, gap);
}
}
#endif
#if HAVE_AVX2
if (do_avx2 && parasail_can_use_avx2()) {
if (test_scores) {
if (do_nw) check_functions(parasail_nw_avx2, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_avx2, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_avx2, sequences, sizes, limit, matrix, gap);
}
if (test_stats) {
if (do_nw) check_functions(parasail_nw_stats_avx2, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_stats_avx2, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_stats_avx2, sequences, sizes, limit, matrix, gap);
}
}
#endif
#if HAVE_KNC
{
if (test_scores) {
if (do_nw) check_functions(parasail_nw_knc, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_knc, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_knc, sequences, sizes, limit, matrix, gap);
}
if (test_stats) {
if (do_nw) check_functions(parasail_nw_stats_knc, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_stats_knc, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_stats_knc, sequences, sizes, limit, matrix, gap);
}
}
#endif
if (do_disp) {
if (test_scores) {
if (do_nw) check_functions(parasail_nw_disp, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_disp, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_disp, sequences, sizes, limit, matrix, gap);
}
if (test_stats) {
if (do_nw) check_functions(parasail_nw_stats_disp, sequences, sizes, limit, matrix, gap);
if (do_sg) check_functions(parasail_sg_stats_disp, sequences, sizes, limit, matrix, gap);
if (do_sw) check_functions(parasail_sw_stats_disp, sequences, sizes, limit, matrix, gap);
}
}
for (i=0; i<seq_count; ++i) {
free(sequences[i]);
}
free(sequences);
free(sizes);
return 0;
}
|
GB_unop__cimag_fp32_fc32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__cimag_fp32_fc32
// op(A') function: GB_unop_tran__cimag_fp32_fc32
// C type: float
// A type: GxB_FC32_t
// cast: GxB_FC32_t cij = (aij)
// unaryop: cij = cimagf (aij)
#define GB_ATYPE \
GxB_FC32_t
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = cimagf (x) ;
// casting
#define GB_CAST(z, aij) \
GxB_FC32_t z = (aij) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC32_t z = (aij) ; \
Cx [pC] = cimagf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_CIMAG || GxB_NO_FP32 || GxB_NO_FC32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__cimag_fp32_fc32
(
float *Cx, // Cx and Ax may be aliased
const GxB_FC32_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC32_t aij = Ax [p] ;
GxB_FC32_t z = (aij) ;
Cx [p] = cimagf (z) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__cimag_fp32_fc32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
main.c | #define STB_IMAGE_IMPLEMENTATION
#include "stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#include "stb_image_write.h"
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <limits.h>
#include <string.h>
#include <stdint.h>
#include <omp.h>
uint32_t *out;
uint32_t *tex;
int w=1024,h=1024;
int tw,th;
#define ABSI(n) ((n) > 0 ? (n) : -(n))
void arrayline(int *ay, int x1, int y1, int x2, int y2)
{
int steep = ABSI(y2-y1) > ABSI(x2-x1);
if(steep) {
int tmp;
tmp=x1;
x1=y1;
y1=tmp;
tmp=x2;
x2=y2;
y2=tmp;
}
if(x1>x2) {
int tmp;
tmp=x1;
x1=x2;
x2=tmp;
tmp=y1;
y1=y2;
y2=tmp;
}
int dx=ABSI(x2-x1);
int dy=ABSI(y2-y1);
int err=dx/2;
int sy;
sy = y1 < y2 ? 1 : -1;
int y = y1;
for(int x=x1;x<=x2;x++) {
if(steep) {
if(x >= 0 && x < h) ay[x] = y;
} else {
if(y >= 0 && y < h) ay[y] = x;
}
err -= dy;
if(err < 0) {
y+=sy;
err+=dx;
}
}
}
#define INTERP(xi,xi1,yi,yi1,x) (yi + ((( yi1 - yi ) * ( x - xi )) / ( xi1 - xi )))
void pppoly(int *xv, int *yv, int *uv, int *vv)
{
int s[3][h];
int m[3][4]; // min x,max x,min y,max y
int miny=INT_MAX,maxy=INT_MIN;
for(int i=0;i<3;i++) memset(s,255,h*sizeof(int));
int x[3],y[3];
int u[3],v[3];
int mii,mai;
for(int i=0;i<3;i++) {
if(yv[i] > maxy) {
maxy = yv[i];
mai = i;
}
if(yv[i] < miny) {
miny = yv[i];
mii = i;
}
}
for(int i=0;i<3;i++) {
if(i == mii) {
x[0] = xv[i];
y[0] = yv[i];
u[0] = uv[i];
v[0] = vv[i];
} else if(i == mai) {
x[2] = xv[i];
y[2] = yv[i];
u[2] = uv[i];
v[2] = vv[i];
} else {
x[1] = xv[i];
y[1] = yv[i];
u[1] = uv[i];
v[1] = vv[i];
}
}
for(int i=0;i<3;i++) {
printf("v[%d]=%d,%d/%d,%d\n",i,xv[i],yv[i],x[i],y[i]);
}
for(int i=0;i<3;i++) {
int x1=x[i],y1=y[i],x2=x[(i+1)%3],y2=y[(i+1)%3];
m[i][0] = x1 < x2 ? x1 : x2;
m[i][1] = x1 > x2 ? x1 : x2;
m[i][2] = y1 < y2 ? y1 : y2;
m[i][3] = y1 > y2 ? y1 : y2;
printf("m[%d]=%d,%d,%d,%d\n",i,m[i][0],m[i][1],m[i][2],m[i][3]);
}
for(int i=0;i<3;i++) {
arrayline(s[i],x[i],y[i],x[(i+1)%3],y[(i+1)%3]);
printf("x[%d]=%d,%d\n",i,s[i][m[i][2]],s[i][m[i][3]]);
}
printf("min=%d,max=%d\n",miny,maxy);
if(miny >= h && maxy < 0) return;
if(miny < 0) miny = 0;
if(maxy >= h) maxy = h - 1;
#pragma omp parallel for
for(int i=miny;i<maxy;i++) {
int sa,sb,tmp;
int ua,ub;
int va,vb;
if(m[0][2] <= i && m[0][3] > i) {
sa = s[0][i];
ua=INTERP(y[0],y[1],u[0],u[1],i);
va=INTERP(y[0],y[1],v[0],v[1],i);
}
if(m[1][2] <= i && m[1][3] > i) {
sa = s[1][i];
ua=INTERP(y[1],y[2],u[1],u[2],i);
va=INTERP(y[1],y[2],v[1],v[2],i);
}
if(m[2][2] <= i && m[2][3] > i) {
sb = s[2][i];
ub=INTERP(y[2],y[0],u[2],u[0],i);
vb=INTERP(y[2],y[0],v[2],v[0],i);
}
if(sa > sb) {
tmp=sa;
sa=sb;
sb=tmp;
tmp=ua;
ua=ub;
ub=tmp;
tmp=va;
va=vb;
vb=tmp;
}
int minx = sa, maxx = sb;
if(sa >= w && sb < 0) continue;
if(sa < 0) sa = 0;
if(sb >= w) sb = w - 1;
for(int j=sa;j<sb;j++) {
int u=INTERP(minx,maxx,ua,ub,j);
int v=INTERP(minx,maxx,va,vb,j);
out[i*w+j] = tex[v*tw+u];
}
}
}
int main(void)
{
out = (uint32_t *)malloc(w*h*sizeof(uint32_t));
memset(out,0x00,w*h*sizeof(uint32_t));
int dmy;
tex = (uint32_t *)stbi_load("tex.png",&tw,&th,&dmy,4);
int x[] = {960,30,1000};
int y[] = {30,540,990};
int u[] = {0,0,255};
int v[] = {0,255,255};
pppoly(x,y,u,v);
stbi_write_png("out.png",w,h,4,out,0);
return 0;
}
|
Example_target_data.3.c | /*
* @@name: target_data.3c
* @@type: C
* @@compilable: yes
* @@linkable: no
* @@expect: success
* @@version: omp_4.0
*/
#include <math.h>
#define COLS 100
void gramSchmidt(float Q[][COLS], const int rows)
{
int cols = COLS;
#pragma omp target data map(Q[0:rows][0:cols])
for(int k=0; k < cols; k++)
{
double tmp = 0.0;
#pragma omp target map(tofrom: tmp)
#pragma omp parallel for reduction(+:tmp)
for(int i=0; i < rows; i++)
tmp += (Q[i][k] * Q[i][k]);
tmp = 1/sqrt(tmp);
#pragma omp target
#pragma omp parallel for
for(int i=0; i < rows; i++)
Q[i][k] *= tmp;
}
}
/* Note: The variable tmp is now mapped with tofrom, for correct
execution with 4.5 (and pre-4.5) compliant compilers. See Devices Intro.
*/
|
GB_unaryop__identity_int16_fp64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__identity_int16_fp64
// op(A') function: GB_tran__identity_int16_fp64
// C type: int16_t
// A type: double
// cast: int16_t cij ; GB_CAST_SIGNED(cij,aij,16)
// unaryop: cij = aij
#define GB_ATYPE \
double
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
int16_t z ; GB_CAST_SIGNED(z,x,16) ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT16 || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_int16_fp64
(
int16_t *restrict Cx,
const double *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_int16_fp64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
packet-inl.h | /*!
* Copyright (c) 2014 by Contributors
* \file packet-inl.h
* \brief Generic packet vectorization code
*/
#ifndef MSHADOW_PACKET_INL_H_
#define MSHADOW_PACKET_INL_H_
#ifdef __APPLE__
#include <stdlib.h>
#else
#include <malloc.h>
#endif
#include "./base.h"
#include "./tensor.h"
#include "./expression.h"
namespace mshadow {
/*! \brief namespace of packet math*/
namespace packet {
enum PacketArch {
kPlain,
kSSE2,
};
#if MSHADOW_USE_SSE
#define MSHADOW_DEFAULT_PACKET ::mshadow::packet::kSSE2
#else
#define MSHADOW_DEFAULT_PACKET ::mshadow::packet::kPlain
#endif
// whether packet operator is enabled.
/*!
* \brief Generic packet type
* \tparam DType The data type of the packet.
* \tparam Arch the Arch of the packet.
*/
template<typename DType, PacketArch Arch = MSHADOW_DEFAULT_PACKET>
struct Packet;
template<PacketArch Arch>
struct AlignBytes {
static const index_t value = 4;
};
} // namespace packet
} // namespace mshadow
namespace mshadow {
namespace packet {
/*!
* \brief analog to cudaMallocPitch, allocate a aligned space with num_line * lspace cells
* \param out_pitch output parameter, the actuall space allocated for each line
* \param lspace number of cells required for each line
* \param num_line number of lines to be allocated
*/
inline void* AlignedMallocPitch(size_t *out_pitch,
size_t lspace,
size_t num_line) {
const index_t bits = AlignBytes<MSHADOW_DEFAULT_PACKET>::value;
const index_t mask = (1 << bits) - 1;
size_t pitch = ((lspace + mask) >> bits) << bits;
*out_pitch = pitch;
#ifdef _MSC_VER
void *res = _aligned_malloc(pitch * num_line, 1 << bits);
#else
void *res;
int ret = posix_memalign(&res, 1 << bits, pitch * num_line);
CHECK_EQ(ret, 0) << "AlignedMallocPitch failed";
#endif
if (res == NULL) {
LOG(FATAL) << "AlignedMallocPitch failed";
}
return res;
}
/*!
* \brief free aligned space
* \param ptr pointer to space to be freed
*/
inline void AlignedFree(void *ptr) {
#ifdef _MSC_VER
_aligned_free(ptr);
#else
free(ptr);
#endif
}
/*! \brief check if a pointer is aligned */
template<PacketArch Arch>
inline bool CheckAlign(size_t pitch) {
const index_t bits = AlignBytes<Arch>::value;
return !(pitch & ((1 << bits) - 1));
}
/*! \brief check if a pointer is aligned */
template<PacketArch Arch>
inline bool CheckAlign(void *ptr) {
return CheckAlign<Arch>(reinterpret_cast<size_t>(ptr));
}
/*!
* \brief get upper bound of aligned index of size
* \param size size of the array
* \param fsize size of float
*/
template<typename DType, PacketArch Arch>
inline index_t UpperAlign(index_t size) {
const index_t bits = AlignBytes<MSHADOW_DEFAULT_PACKET>::value;
const index_t mask = (1 << bits) - 1;
const index_t fsize = sizeof(DType);
return (((size * fsize + mask) >> bits) << bits) / fsize;
}
/*!
* \brief get lower bound of aligned index of size
* \param size size of the array
* \param fsize size of float
*/
template<typename DType, PacketArch Arch>
inline index_t LowerAlign(index_t size) {
const index_t bits = AlignBytes<MSHADOW_DEFAULT_PACKET>::value;
const index_t fsize = sizeof(DType);
return (((size * fsize) >> bits) << bits) / fsize;
}
/*!
* \brief generic Packet operator
* \tparam OP The operator
* \tparam DType The data type
* \tparam Arch The architecture.
*/
template<typename OP, typename DType, PacketArch Arch>
struct PacketOp {
static const bool kEnabled = false;
};
// specialization of operators
template<typename DType, PacketArch Arch>
struct PacketOp<op::plus, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(const Packet<DType, Arch>& lhs,
const Packet<DType, Arch>& rhs) {
return lhs + rhs;
}
};
template<typename DType, PacketArch Arch>
struct PacketOp<op::minus, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(const Packet<DType, Arch>& lhs,
const Packet<DType, Arch>& rhs) {
return lhs - rhs;
}
};
template<typename DType, PacketArch Arch>
struct PacketOp<op::mul, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(const Packet<DType, Arch>& lhs,
const Packet<DType, Arch>& rhs) {
return lhs * rhs;
}
};
template<typename DType, PacketArch Arch>
struct PacketOp<op::div, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(const Packet<DType, Arch>& lhs,
const Packet<DType, Arch>& rhs) {
return lhs / rhs;
}
};
template<typename DType, PacketArch Arch>
struct PacketOp<op::identity, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(const Packet<DType, Arch>& src) {
return src;
}
};
// savers to do storage
template<typename SV, typename TFloat, PacketArch Arch>
struct Saver{
MSHADOW_CINLINE static void Save(TFloat *dst, const Packet<TFloat, Arch>& src) {
Packet<TFloat, Arch> lhs = Packet<TFloat, Arch>::Load(dst);
Packet<TFloat, Arch> ans = PacketOp<typename SV::OPType, TFloat, Arch>::Map(lhs, src);
ans.Store(dst);
}
};
template<typename TFloat, PacketArch Arch>
struct Saver<sv::saveto, TFloat, Arch> {
MSHADOW_CINLINE static void Save(TFloat *dst, const Packet<TFloat, Arch>& src) {
src.Store(dst);
}
};
} // namespace packet
} // namespace mshadow
#include "packet/plain-inl.h"
#if MSHADOW_USE_SSE && !defined(__CUDACC__)
#include "packet/sse-inl.h"
#endif
namespace mshadow {
namespace expr {
typedef packet::PacketArch PacketArch;
// same as plan, but use packet
template<typename ExpType, typename DType, PacketArch Arch>
class PacketPlan {
public:
/*!
* \brief evaluate the expression at index [y][x],
* x will be aligned to Packet<DType, Arch>::Size()
*/
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y, index_t x) const;
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const;
};
template <typename Device, int dim, typename DType, PacketArch Arch>
class PacketPlan<Tensor<Device, dim, DType>, DType, Arch> {
public:
explicit PacketPlan(const Tensor<Device, dim, DType> &t)
:dptr_(t.dptr_), stride_(t.stride_) {}
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y, index_t x) const {
return packet::Packet<DType, Arch>::Load(&dptr_[y * stride_ + x]);
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const {
return dptr_[y * stride_ + x];
}
private:
const DType *dptr_;
index_t stride_;
};
template<typename DType, PacketArch Arch>
class PacketPlan<ScalarExp<DType>, DType, Arch> {
public:
explicit PacketPlan(DType scalar) : scalar_(scalar) {}
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y, index_t x) const {
return packet::Packet<DType, Arch>::Fill(scalar_);
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const {
return scalar_;
}
private:
DType scalar_;
};
template<typename OP, typename TA, typename TB, int etype, typename DType, PacketArch Arch>
class PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>, DType, Arch> {
public:
PacketPlan(const PacketPlan<TA, DType, Arch> &lhs, const PacketPlan<TB, DType, Arch> &rhs)
: lhs_(lhs), rhs_(rhs) {}
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y, index_t x) const {
return packet::PacketOp<OP, DType, Arch>::Map(lhs_.EvalPacket(y, x), rhs_.EvalPacket(y, x));
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const {
return OP::Map(lhs_.Eval(y, x), rhs_.Eval(y, x));
}
private:
PacketPlan<TA, DType, Arch> lhs_;
PacketPlan<TB, DType, Arch> rhs_;
};
template<typename OP, typename TA, int etype, typename DType, PacketArch Arch>
class PacketPlan<UnaryMapExp<OP, TA, DType, etype>, DType, Arch> {
public:
PacketPlan(const PacketPlan<TA, DType, Arch> &src) : src_(src) {}
MSHADOW_CINLINE packet::Packet<DType> EvalPacket(index_t y, index_t x) const {
return packet::PacketOp<OP, DType, Arch>::Map(src_.EvalPacket(y, x));
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const {
return OP::Map(src_.Eval(y, x));
}
private:
PacketPlan<TA, DType, Arch> src_;
};
template<PacketArch Arch, typename OP, typename TA, typename TB, typename DType, int etype>
inline PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>, DType, Arch>
MakePacketPlan(const BinaryMapExp<OP, TA, TB, DType, etype> &e);
template<PacketArch Arch, typename DType>
inline PacketPlan<ScalarExp<DType>, DType, Arch> MakePacketPlan(const ScalarExp<DType> &e) {
return PacketPlan<ScalarExp<DType>, DType, Arch>(e.scalar_);
}
template<PacketArch Arch, typename T, typename DType>
inline PacketPlan<T, DType, Arch> MakePacketPlan(const RValueExp<T, DType> &e) {
return PacketPlan<T, DType, Arch>(e.self());
}
template<PacketArch Arch, typename T, int dim, typename DType>
inline PacketPlan<T, DType, Arch>
MakePacketPlan(const MakeTensorExp<T, cpu, dim, DType> &e) {
return PacketPlan<T, DType, Arch>(e.real_self());
}
template<PacketArch Arch, typename OP, typename TA, typename DType, int etype>
inline PacketPlan<UnaryMapExp<OP, TA, DType, etype>, DType, Arch>
MakePacketPlan(const UnaryMapExp<OP, TA, DType, etype> &e) {
return PacketPlan<UnaryMapExp<OP, TA, DType, etype>, DType, Arch>(MakePacketPlan<Arch>(e.src_));
}
template<PacketArch Arch, typename OP, typename TA, typename TB, typename DType, int etype>
inline PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>, DType, Arch>
MakePacketPlan(const BinaryMapExp<OP, TA, TB, DType, etype> &e) {
return PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>,
DType, Arch>(MakePacketPlan<Arch>(e.lhs_), MakePacketPlan<Arch>(e.rhs_));
}
/*!
* \brief static check packet enable
*
* \tparam Device the type of Device
* \tparam dim dimension of the tensor
* \tparam E expression
*/
template<typename E, PacketArch Arch>
struct PacketCheck{
static const bool kPass = false;
};
template<PacketArch Arch>
struct PacketCheck<float, Arch> {
static const bool kPass = true;
};
template<PacketArch Arch>
struct PacketCheck<double, Arch> {
static const bool kPass = true;
};
template<typename DType, PacketArch Arch>
struct PacketCheck<ScalarExp<DType>, Arch> {
static const bool kPass = PacketCheck<DType, Arch>::kPass;
};
template<int dim, typename DType, PacketArch Arch>
struct PacketCheck<Tensor<cpu, dim, DType>, Arch> {
static const bool kPass = PacketCheck<DType, Arch>::kPass;
};
template<typename OP, typename TA, typename DType, int etype, PacketArch Arch>
struct PacketCheck<UnaryMapExp<OP, TA, DType, etype>, Arch> {
static const bool kPass = PacketCheck<TA, Arch>::kPass &&
packet::PacketOp<OP, DType, Arch>::kEnabled;
};
template<typename OP, typename TA, typename TB, typename DType, int etype, PacketArch Arch>
struct PacketCheck< BinaryMapExp<OP, TA, TB, DType, etype>, Arch> {
static const bool kPass = packet::PacketOp<OP, DType, Arch>::kEnabled &&
PacketCheck<TA, Arch>::kPass && PacketCheck<TB, Arch>::kPass;
};
//----------------------------------------------------
// Check if data is aligned and allow packet operation
//----------------------------------------------------
template<int dim, typename E, PacketArch Arch>
struct PacketAlignCheck {
inline static bool Check(const E &exp) {
return false;
}
};
template<int dim, typename DType, PacketArch Arch>
struct PacketAlignCheck<dim, ScalarExp<DType>, Arch> {
inline static bool Check(const ScalarExp<DType> &exp) {
return true;
}
};
template<int dim, typename DType, PacketArch Arch>
struct PacketAlignCheck<dim, Tensor<cpu, dim, DType>, Arch> {
inline static bool Check(const Tensor<cpu, dim, DType> &t) {
return packet::CheckAlign<Arch>(t.dptr_) &&
packet::CheckAlign<Arch>(t.stride_ * sizeof(DType));
}
};
template<int dim, typename OP, typename TA, typename DType, int etype, PacketArch Arch>
struct PacketAlignCheck<dim, UnaryMapExp<OP, TA, DType, etype>, Arch> {
inline static bool Check(const UnaryMapExp<OP, TA, DType, etype> &t) {
return PacketAlignCheck<dim, TA, Arch>::Check(t.src_);
}
};
template<int dim, typename OP, typename TA, typename TB,
typename DType, int etype, PacketArch Arch>
struct PacketAlignCheck<dim, BinaryMapExp<OP, TA, TB, DType, etype>, Arch> {
inline static bool Check(const BinaryMapExp<OP, TA, TB, DType, etype> &t) {
return PacketAlignCheck<dim, TA, Arch>::Check(t.lhs_) &&
PacketAlignCheck<dim, TB, Arch>::Check(t.rhs_);
}
};
/*!
* \brief use PacketPlan to compute result
*/
template<typename SV, typename E, int dim, typename DType, PacketArch Arch>
inline void MapPacketPlan(Tensor<cpu, dim, DType> _dst,
const expr::PacketPlan<E, DType, Arch>& plan) {
Tensor<cpu, 2, DType> dst = _dst.FlatTo2D();
const index_t xlen = packet::LowerAlign<DType, Arch>(dst.size(1));
const size_t packetSize = packet::Packet<DType, Arch>::size;
#if (MSHADOW_USE_CUDA == 0)
#pragma omp parallel for
#endif
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
for (index_t x = 0; x < xlen; x += packetSize) {
packet::Saver<SV, DType, Arch>::Save(&dst[y][x], plan.EvalPacket(y, x));
}
for (index_t x = xlen; x < dst.size(1); ++x) {
SV::Save(dst[y][x], plan.Eval(y, x));
}
}
}
} // namespace expr
} // namespace mshadow
#endif // MSHADOW_PACKET_INL_H_
|
builder.h | // Copyright (c) 2015, The Regents of the University of California (Regents)
// See LICENSE.txt for license details
#ifndef BUILDER_H_
#define BUILDER_H_
#include <algorithm>
#include <cinttypes>
#include <fstream>
#include <functional>
#include <type_traits>
#include <utility>
#include "command_line.h"
#include "generator.h"
#include "graph.h"
#include "platform_atomics.h"
#include "pvector.h"
#include "reader.h"
#include "timer.h"
#include "util.h"
/*
GAP Benchmark Suite
Class: BuilderBase
Author: Scott Beamer
Given arguements from the command line (cli), returns a built graph
- MakeGraph() will parse cli and obtain edgelist and call
MakeGraphFromEL(edgelist) to perform actual graph construction
- edgelist can be from file (reader) or synthetically generated (generator)
- Common case: BuilderBase typedef'd (w/ params) to be Builder (benchmark.h)
*/
template <typename NodeID_, typename DestID_ = NodeID_,
typename WeightT_ = NodeID_, bool invert = true>
class BuilderBase {
typedef EdgePair<NodeID_, DestID_> Edge;
typedef pvector<Edge> EdgeList;
const CLBase &cli_;
bool symmetrize_;
bool needs_weights_;
//int64_t num_nodes_ = -1;
uint64_t num_nodes_ = 0;
public:
explicit BuilderBase(const CLBase &cli) : cli_(cli) {
symmetrize_ = cli_.symmetrize();
needs_weights_ = !std::is_same<NodeID_, DestID_>::value;
}
DestID_ GetSource(EdgePair<NodeID_, NodeID_> e) {
return e.u;
}
DestID_ GetSource(EdgePair<NodeID_, NodeWeight<NodeID_, WeightT_>> e) {
return NodeWeight<NodeID_, WeightT_>(e.u, e.v.w);
}
NodeID_ FindMaxNodeID(const EdgeList &el) {
NodeID_ max_seen = 0;
#pragma omp parallel for reduction(max : max_seen)
for (auto it = el.begin(); it < el.end(); it++) {
Edge e = *it;
max_seen = std::max(max_seen, e.u);
max_seen = std::max(max_seen, (NodeID_) e.v);
}
return max_seen;
}
pvector<NodeID_> CountDegrees(const EdgeList &el, bool transpose) {
pvector<NodeID_> degrees(num_nodes_, 0);
#pragma omp parallel for
for (auto it = el.begin(); it < el.end(); it++) {
Edge e = *it;
if (symmetrize_ || (!symmetrize_ && !transpose))
fetch_and_add(degrees[e.u], 1);
if (symmetrize_ || (!symmetrize_ && transpose))
fetch_and_add(degrees[(NodeID_) e.v], 1);
}
return degrees;
}
static
pvector<SGOffset> PrefixSum(const pvector<NodeID_> °rees) {
pvector<SGOffset> sums(degrees.size() + 1);
SGOffset total = 0;
for (size_t n=0; n < degrees.size(); n++) {
sums[n] = total;
total += degrees[n];
}
sums[degrees.size()] = total;
return sums;
}
static
pvector<SGOffset> ParallelPrefixSum(const pvector<NodeID_> °rees) {
const size_t block_size = 1<<20;
const size_t num_blocks = (degrees.size() + block_size - 1) / block_size;
pvector<SGOffset> local_sums(num_blocks);
#pragma omp parallel for
for (size_t block=0; block < num_blocks; block++) {
SGOffset lsum = 0;
size_t block_end = std::min((block + 1) * block_size, degrees.size());
for (size_t i=block * block_size; i < block_end; i++)
lsum += degrees[i];
local_sums[block] = lsum;
}
pvector<SGOffset> bulk_prefix(num_blocks+1);
SGOffset total = 0;
for (size_t block=0; block < num_blocks; block++) {
bulk_prefix[block] = total;
total += local_sums[block];
}
bulk_prefix[num_blocks] = total;
pvector<SGOffset> prefix(degrees.size() + 1);
#pragma omp parallel for
for (size_t block=0; block < num_blocks; block++) {
SGOffset local_total = bulk_prefix[block];
size_t block_end = std::min((block + 1) * block_size, degrees.size());
for (size_t i=block * block_size; i < block_end; i++) {
prefix[i] = local_total;
local_total += degrees[i];
}
}
prefix[degrees.size()] = bulk_prefix[num_blocks];
std::cerr << "prefix[0] : " << prefix[0] << " , prefix[last] : " << prefix[degrees.size()] << " nodes : " << degrees.size() << "\n";
return prefix;
}
// Removes self-loops and redundant edges
// Side effect: neighbor IDs will be sorted
void SquishCSR(const CSRGraph<NodeID_, DestID_, invert> &g, bool transpose,
DestID_*** sq_index, DestID_** sq_neighs) {
pvector<NodeID_> diffs(g.num_nodes());
DestID_ *n_start, *n_end;
#pragma omp parallel for private(n_start, n_end)
for (NodeID_ n=0; n < g.num_nodes(); n++) {
if (transpose) {
n_start = g.in_neigh(n).begin();
n_end = g.in_neigh(n).end();
} else {
n_start = g.out_neigh(n).begin();
n_end = g.out_neigh(n).end();
}
std::sort(n_start, n_end);
DestID_ *new_end = std::unique(n_start, n_end);
new_end = std::remove(n_start, new_end, n);
diffs[n] = new_end - n_start;
}
pvector<SGOffset> sq_offsets = ParallelPrefixSum(diffs);
*sq_neighs = new DestID_[sq_offsets[g.num_nodes()]];
*sq_index = CSRGraph<NodeID_, DestID_>::GenIndex(sq_offsets, *sq_neighs);
#pragma omp parallel for private(n_start)
for (NodeID_ n=0; n < g.num_nodes(); n++) {
if (transpose)
n_start = g.in_neigh(n).begin();
else
n_start = g.out_neigh(n).begin();
std::copy(n_start, n_start+diffs[n], (*sq_index)[n]);
}
}
CSRGraph<NodeID_, DestID_, invert> SquishGraph(
const CSRGraph<NodeID_, DestID_, invert> &g) {
DestID_ **out_index, *out_neighs, **in_index, *in_neighs;
SquishCSR(g, false, &out_index, &out_neighs);
if (g.directed()) {
if (invert)
SquishCSR(g, true, &in_index, &in_neighs);
return CSRGraph<NodeID_, DestID_, invert>(g.num_nodes(), out_index,
out_neighs, in_index,
in_neighs);
} else {
return CSRGraph<NodeID_, DestID_, invert>(g.num_nodes(), out_index,
out_neighs);
}
}
/*
Graph Bulding Steps (for CSR):
- Read edgelist once to determine vertex degrees (CountDegrees)
- Determine vertex offsets by a prefix sum (ParallelPrefixSum)
- Allocate storage and set points according to offsets (GenIndex)
- Copy edges into storage
*/
void MakeCSR(const EdgeList &el, bool transpose, DestID_*** index,
DestID_** neighs) {
pvector<NodeID_> degrees = CountDegrees(el, transpose);
pvector<SGOffset> offsets = ParallelPrefixSum(degrees);
*neighs = new DestID_[offsets[num_nodes_]];
*index = CSRGraph<NodeID_, DestID_>::GenIndex(offsets, *neighs);
#pragma omp parallel for
for (auto it = el.begin(); it < el.end(); it++) {
Edge e = *it;
if (symmetrize_ || (!symmetrize_ && !transpose))
(*neighs)[fetch_and_add(offsets[e.u], 1)] = e.v;
if (symmetrize_ || (!symmetrize_ && transpose))
(*neighs)[fetch_and_add(offsets[static_cast<NodeID_>(e.v)], 1)] =
GetSource(e);
}
}
CSRGraph<NodeID_, DestID_, invert> MakeGraphFromEL(EdgeList &el) {
DestID_ **index = nullptr, **inv_index = nullptr;
DestID_ *neighs = nullptr, *inv_neighs = nullptr;
Timer t;
t.Start();
//if (num_nodes_ == -1)
if (num_nodes_ == 0)
num_nodes_ = FindMaxNodeID(el)+1;
if (needs_weights_)
Generator<NodeID_, DestID_, WeightT_>::InsertWeights(el);
MakeCSR(el, false, &index, &neighs);
if (!symmetrize_ && invert)
MakeCSR(el, true, &inv_index, &inv_neighs);
t.Stop();
PrintTime("Build Time", t.Seconds());
if (symmetrize_)
return CSRGraph<NodeID_, DestID_, invert>(num_nodes_, index, neighs);
else
return CSRGraph<NodeID_, DestID_, invert>(num_nodes_, index, neighs,
inv_index, inv_neighs);
}
CSRGraph<NodeID_, DestID_, invert> MakeGraphFromGR(std::string &filename, std::string &filename_transpose) {
DestID_ **index = nullptr, **inv_index = nullptr;
DestID_ *neighs = nullptr, *inv_neighs = nullptr;
Timer t;
t.Start();
std::ifstream in(filename);
if (!in.is_open()) {
std::cout << "Couldn't open file " << filename << std::endl;
std::exit(-2);
}
Timer timer_ggr;
timer_ggr.Start();
uint64_t header[4];
in.read(reinterpret_cast<char*>(header), sizeof(uint64_t) * 4);
uint64_t version = header[0];
uint32_t numNodes = header[2];
uint64_t numEdges = header[3];
std::cout<<"Disk: NumNodes: "<<numNodes<<" NumEdges: "<<numEdges<<"\n";
std::cerr<<"Disk: NumNodes: "<<numNodes<<" NumEdges: "<<numEdges<<"\n";
num_nodes_ = numNodes;
pvector<SGOffset> offsets(numNodes+1);
uint64_t readPosition = (4 * sizeof(uint64_t));
in.seekg(readPosition);
offsets[0] = 0;
in.read(reinterpret_cast<char*>(&offsets[1]), sizeof(SGOffset)*(numNodes));
std::cerr << " offsets[last]: " << offsets[numNodes] << "\n";
neighs = new DestID_[numEdges];
index = CSRGraph<NodeID_, DestID_>::GenIndex(offsets, neighs);
readPosition = ((4 + numNodes) * sizeof(uint64_t));
in.seekg(readPosition);
std::cout << "version = " << version << "\n";
std::cerr << "version = " << version << "\n";
if(version == 1) {
in.read(reinterpret_cast<char*>((neighs)), sizeof(uint32_t)*numEdges);
readPosition = ((4 + numNodes) * sizeof(uint64_t) + numEdges * sizeof(uint32_t));
// version 1 padding TODO make version agnostic
if (numEdges% 2) {
readPosition += sizeof(uint32_t);
}
} else if(version == 2) {
in.read(reinterpret_cast<char*>((neighs)), sizeof(uint64_t)*numEdges);
readPosition = ((4 + numNodes) * sizeof(uint64_t) + numEdges * sizeof(uint64_t));
if (numEdges % 2) {
readPosition += sizeof(uint64_t);
}
} else {
std::cerr << "ERROR: Unknown graph file version.\n";
abort();
}
std::cout << "Done constructing original graph\n";
std::ifstream in_transpose(filename_transpose);
std::cerr << "read transpose \n";
if (!in_transpose.is_open()) {
std::cout << "Couldn't open file " << filename_transpose << std::endl;
std::exit(-2);
}
readPosition = (4 * sizeof(uint64_t));
offsets[0] = 0;
in_transpose.seekg(readPosition);
in_transpose.read(reinterpret_cast<char*>(&offsets[1]), sizeof(SGOffset)*(numNodes));
std::cerr << "read transpose offset \n";
inv_neighs = new DestID_[numEdges];
inv_index = CSRGraph<NodeID_, DestID_>::GenIndex(offsets, inv_neighs);
std::cerr << "read transpose dst\n";
readPosition = ((4 + numNodes) * sizeof(uint64_t));
in_transpose.seekg(readPosition);
if(version == 1) {
in_transpose.read(reinterpret_cast<char*>((inv_neighs)), sizeof(uint32_t)*numEdges);
readPosition = ((4 + numNodes) * sizeof(uint64_t) + numEdges * sizeof(uint32_t));
// version 1 padding TODO make version agnostic
if (numEdges% 2) {
readPosition += sizeof(uint32_t);
}
} else if(version == 2) {
in_transpose.read(reinterpret_cast<char*>((inv_neighs)), sizeof(uint64_t)*numEdges);
readPosition = ((4 + numNodes) * sizeof(uint64_t) + numEdges * sizeof(uint64_t));
if (numEdges % 2) {
readPosition += sizeof(uint64_t);
}
} else {
std::cerr << "ERROR: Unknown graph file version.\n";
abort();
}
std::cout << "Done constructing transpose graph\n";
return CSRGraph<NodeID_, DestID_, invert>(num_nodes_, index, neighs,
inv_index, inv_neighs);
}
CSRGraph<NodeID_, DestID_, invert> MakeGraph(bool removeDuplicateEdges = true, bool useTranspose = false) {
CSRGraph<NodeID_, DestID_, invert> g;
if(useTranspose){
std::string fname = cli_.filename();
std::string ftname = cli_.filename_transpose();
std::cout << "Original graph : " << fname << "\n";
std::cout << "Transpose graph : " << ftname << "\n";
g = MakeGraphFromGR(fname, ftname);
} else
{ // extra scope to trigger earlier deletion of el (save memory)
EdgeList el;
if (cli_.filename() != "") {
Reader<NodeID_, DestID_, WeightT_, invert> r(cli_.filename());
if ((r.GetSuffix() == ".sg") || (r.GetSuffix() == ".wsg")) {
return r.ReadSerializedGraph();
} else {
el = r.ReadFile(needs_weights_);
}
} else if (cli_.scale() != -1) {
Generator<NodeID_, DestID_> gen(cli_.scale(), cli_.degree());
el = gen.GenerateEL(cli_.uniform());
}
g = MakeGraphFromEL(el);
}
if(removeDuplicateEdges)
return SquishGraph(g);
else
return g;
}
// Relabels (and rebuilds) graph by order of decreasing degree
static
CSRGraph<NodeID_, DestID_, invert> RelabelByDegree(
const CSRGraph<NodeID_, DestID_, invert> &g) {
if (g.directed()) {
std::cout << "Cannot relabel directed graph" << std::endl;
std::exit(-11);
}
Timer t;
t.Start();
typedef std::pair<int64_t, NodeID_> degree_node_p;
pvector<degree_node_p> degree_id_pairs(g.num_nodes());
#pragma omp parallel for
for (NodeID_ n=0; n < g.num_nodes(); n++)
degree_id_pairs[n] = std::make_pair(g.out_degree(n), n);
std::sort(degree_id_pairs.begin(), degree_id_pairs.end(),
std::greater<degree_node_p>());
pvector<NodeID_> degrees(g.num_nodes());
pvector<NodeID_> new_ids(g.num_nodes());
#pragma omp parallel for
for (NodeID_ n=0; n < g.num_nodes(); n++) {
degrees[n] = degree_id_pairs[n].first;
new_ids[degree_id_pairs[n].second] = n;
}
pvector<SGOffset> offsets = ParallelPrefixSum(degrees);
DestID_* neighs = new DestID_[offsets[g.num_nodes()]];
DestID_** index = CSRGraph<NodeID_, DestID_>::GenIndex(offsets, neighs);
#pragma omp parallel for
for (NodeID_ u=0; u < g.num_nodes(); u++) {
for (NodeID_ v : g.out_neigh(u))
neighs[offsets[new_ids[u]]++] = new_ids[v];
std::sort(index[new_ids[u]], index[new_ids[u]+1]);
}
t.Stop();
PrintTime("Relabel", t.Seconds());
return CSRGraph<NodeID_, DestID_, invert>(g.num_nodes(), index, neighs);
}
};
#endif // BUILDER_H_
|
GB_binop__isle_uint8.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__isle_uint8
// A.*B function (eWiseMult): GB_AemultB__isle_uint8
// A*D function (colscale): GB_AxD__isle_uint8
// D*A function (rowscale): GB_DxB__isle_uint8
// C+=B function (dense accum): GB_Cdense_accumB__isle_uint8
// C+=b function (dense accum): GB_Cdense_accumb__isle_uint8
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__isle_uint8
// C=scalar+B GB_bind1st__isle_uint8
// C=scalar+B' GB_bind1st_tran__isle_uint8
// C=A+scalar GB_bind2nd__isle_uint8
// C=A'+scalar GB_bind2nd_tran__isle_uint8
// C type: uint8_t
// A type: uint8_t
// B,b type: uint8_t
// BinaryOp: cij = (aij <= bij)
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
uint8_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint8_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint8_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (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_ISLE || GxB_NO_UINT8 || GxB_NO_ISLE_UINT8)
//------------------------------------------------------------------------------
// 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__isle_uint8
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__isle_uint8
(
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__isle_uint8
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint8_t
uint8_t bwork = (*((uint8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__isle_uint8
(
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
uint8_t *GB_RESTRICT Cx = (uint8_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__isle_uint8
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *GB_RESTRICT Cx = (uint8_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
#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__isle_uint8
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *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__isle_uint8
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const 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__isle_uint8
(
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
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t x = (*((uint8_t *) x_input)) ;
uint8_t *Bx = (uint8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint8_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__isle_uint8
(
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 ;
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t *Ax = (uint8_t *) Ax_input ;
uint8_t y = (*((uint8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint8_t aij = 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) \
{ \
uint8_t aij = Ax [pA] ; \
Cx [pC] = (x <= aij) ; \
}
GrB_Info GB_bind1st_tran__isle_uint8
(
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 \
uint8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t x = (*((const uint8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = Ax [pA] ; \
Cx [pC] = (aij <= y) ; \
}
GrB_Info GB_bind2nd_tran__isle_uint8
(
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
uint8_t y = (*((const uint8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
LogSoftMax.c | #include <math.h>
#include "../thnets.h"
int nnload_LogSoftMax(struct module *mod, struct nnmodule *n)
{
mod->type = MT_LogSoftMax;
mod->updateOutput = nn_LogSoftMax_updateOutput;
return 0;
}
#ifdef ONNX
void onnxload_LogSoftMax(const void *graph, struct module *m, int nodeidx)
{
m->updateOutput = nn_LogSoftMax_updateOutput;
m->type = MT_LogSoftMax;
}
#endif
THFloatTensor *nn_LogSoftMax_updateOutput(struct module *module, THFloatTensor *input)
{
THFloatTensor *output = module->output;
float *input_data, *output_data;
long nframe = 0, dim = 0, stride = 0;
long t;
if(input->nDimension == 1)
{
nframe = 1;
dim = input->size[0];
stride = 1;
}
else if(input->nDimension == 2)
{
nframe = input->size[0];
dim = input->size[1];
stride = 1;
}
else if(input->nDimension == 3)
{
nframe = 1;
dim = input->size[0];
stride = input->size[1]*input->size[2];
}
else if(input->nDimension == 4)
{
nframe = input->size[0];
dim = input->size[1];
stride = input->size[2]*input->size[3];
}
else
THError("1D, 2D, 3D or 4D tensor expected");
THFloatTensor_resizeAs(output, input);
input_data = THFloatTensor_data(input);
output_data = THFloatTensor_data(output);
#pragma omp parallel for private(t)
for(t = 0; t < stride*nframe; t++)
{
float *input_ptr = input_data + (t/stride)*dim*stride + t % stride;
float *output_ptr = output_data + (t/stride)*dim*stride + t % stride;
float logSum = 0;
float inputMax = -THInf;
long d;
for(d = 0; d < dim; d++) {
if (input_ptr[d*stride] >= inputMax) inputMax = input_ptr[d*stride];
}
for(d = 0; d < dim; d++)
logSum += exp(input_ptr[d*stride] - inputMax);
logSum = inputMax + log(logSum);
for(d = 0; d < dim; d++)
output_ptr[d*stride] = input_data[d*stride] - logSum;
}
return output;
}
|
GB_unaryop__identity_int32_uint8.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__identity_int32_uint8
// op(A') function: GB_tran__identity_int32_uint8
// C type: int32_t
// A type: uint8_t
// cast: int32_t cij = (int32_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint8_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint8_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
int32_t z = (int32_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT32 || GxB_NO_UINT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_int32_uint8
(
int32_t *restrict Cx,
const uint8_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_int32_uint8
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
loop-1.c | void foo (void);
int v;
#ifdef __cplusplus
extern "C" {
#endif
int omp_get_thread_num (void);
int omp_get_num_threads (void);
int omp_target_is_present (const void *, int);
int omp_get_cancellation (void);
#ifdef __cplusplus
}
#endif
void
f1 (int *a)
{
int i;
#pragma omp simd order(concurrent)
for (i = 0; i < 64; i++)
{
int j;
#pragma omp loop
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
}
void
f2 (int *a)
{
int i;
#pragma omp for simd order(concurrent)
for (i = 0; i < 64; i++)
{
int j;
#pragma omp loop
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
}
void
f3 (int *a)
{
int i;
#pragma omp for order(concurrent)
for (i = 0; i < 64; i++)
{
int j;
#pragma omp loop
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
}
void
f4 (int *a)
{
int i;
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
#pragma omp parallel
foo ();
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
int j;
#pragma omp simd
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
int j;
#pragma omp loop
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
#pragma omp critical /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
foo ();
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
#pragma omp ordered simd /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
foo ();
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
#pragma omp atomic /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
v++;
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
#pragma omp atomic read /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c++ } } */
a[i] = v; /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c } } */
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
{
#pragma omp atomic write /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c++ } } */
v = a[i]; /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c } } */
}
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
a[i] += omp_get_thread_num (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_thread_num\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
a[i] += omp_get_num_threads (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_num_threads\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
a[i] += omp_target_is_present (a + i, 0); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_target_is_present\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop order(concurrent) bind(parallel)
for (i = 0; i < 64; i++)
a[i] += omp_get_cancellation (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_cancellation\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
}
void
f5 (int *a)
{
int i;
#pragma omp parallel
{
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp parallel
foo ();
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
int j;
#pragma omp simd
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
int j;
#pragma omp loop
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp critical /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
foo ();
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp ordered simd /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
foo ();
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp atomic /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
v++;
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp atomic read /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c++ } } */
a[i] = v; /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c } } */
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp atomic write /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c++ } } */
v = a[i]; /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c } } */
}
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_get_thread_num (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_thread_num\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_get_num_threads (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_num_threads\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_target_is_present (a + i, 0); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_target_is_present\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_get_cancellation (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_cancellation\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
}
}
void
f6 (int *a)
{
int i;
#pragma omp master
{
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp parallel
foo ();
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
int j;
#pragma omp simd
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
int j;
#pragma omp loop
for (j = 0; j < 64; j++)
a[64 * i + j] = i + j;
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp critical /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
foo ();
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp ordered simd /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
foo ();
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp atomic /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" } */
v++;
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp atomic read /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c++ } } */
a[i] = v; /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c } } */
}
#pragma omp loop
for (i = 0; i < 64; i++)
{
#pragma omp atomic write /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c++ } } */
v = a[i]; /* { dg-error "OpenMP constructs other than 'parallel', 'loop' or 'simd' may not be nested inside a 'loop' region" "" { target c } } */
}
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_get_thread_num (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_thread_num\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_get_num_threads (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_num_threads\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_target_is_present (a + i, 0); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_target_is_present\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
#pragma omp loop
for (i = 0; i < 64; i++)
a[i] += omp_get_cancellation (); /* { dg-error "OpenMP runtime API call '\[^\n\r]*omp_get_cancellation\[^\n\r]*' in a region with 'order\\(concurrent\\)' clause" } */
}
}
|
resource_strings.h | #pragma once
#include <torch/csrc/jit/code_template.h>
namespace torch {
namespace jit {
namespace fuser {
namespace cpu {
/*with type_as not checking type of its input, a fusion group can have non-fp32
tensor as input. Correct code for this case is generated, however, nvrtc does
not know how to handle int*_t integer types, so typedefs help it handle those
cases*/
static auto type_declarations_template = CodeTemplate(R"(
#define POS_INFINITY INFINITY
#define NEG_INFINITY -INFINITY
typedef ${IndexType} IndexType;
template<typename T, size_t N>
struct TensorInfo {
T* data;
IndexType sizes[N];
IndexType strides[N];
};
template<typename T>
struct TensorInfo<T, 0> {
T * data;
};
)");
static auto cpu_compilation_unit_template = CodeTemplate(R"(
#include <math.h>
#include <cstddef>
#include <cstdint>
double rsqrt(double x) {
return 1.0/sqrt(x);
}
float rsqrtf(float x) {
return 1.0f/sqrtf(x);
}
double frac(double x) {
return x - trunc(x);
}
float fracf(float x) {
return x - truncf(x);
}
${type_declarations}
#define OMP_THRESHOLD 100000
static void ${kernelName}_kernel(IndexType totalElements, ${formals}) {
#pragma omp parallel for if(totalElements > OMP_THRESHOLD)
for (IndexType linearIndex = 0;
linearIndex < totalElements;
linearIndex += 1) {
// Convert `linearIndex` into an offset of tensor:
${tensorOffsets}
// calculate the results
${kernelBody}
}
}
extern "C"
void ${kernelName}(IndexType totalElements, void ** args) {
${kernelName}_kernel(totalElements ${,argument_loads});
}
)");
} // namespace cpu
} // namespace fuser
} // namespace jit
} // namespace torch
|
parallel_team.c | // RUN: %libomp-compile-and-run | %sort-threads | FileCheck %s
// REQUIRES: ompt, multicpu
// UNSUPPORTED: gcc, icc-19
#include "callback.h"
int main() {
#pragma omp target teams num_teams(1) thread_limit(2)
#pragma omp parallel num_threads(2)
{ printf("In teams\n"); }
return 0;
}
// CHECK: 0: NULL_POINTER=[[NULL:.*$]]
// CHECK-NOT: 0: parallel_data initially not null
// CHECK-NOT: 0: task_data initially not null
// CHECK-NOT: 0: thread_data initially not null
// CHECK: {{^}}[[MASTER:[0-9]+]]: ompt_event_initial_task_begin:
// CHECK-SAME: task_id=[[INIT_TASK:[0-9]+]], {{.*}}, index=1
// CHECK: {{^}}[[MASTER]]: ompt_event_teams_begin:
// CHECK-SAME: parent_task_id=[[INIT_TASK]]
// CHECK-SAME: {{.*}} requested_num_teams=1
// CHECK-SAME: {{.*}} invoker=[[TEAMS_FLAGS:[0-9]+]]
//
// team 0/thread 0
//
// initial task in the teams construct
// CHECK: {{^}}[[MASTER]]: ompt_event_initial_task_begin:
// CHECK-SAME: task_id=[[INIT_TASK_0:[0-9]+]], actual_parallelism=1, index=0
// parallel region forked by runtime
// CHECK: {{^}}[[MASTER]]: ompt_event_parallel_begin:
// CHECK-SAME: {{.*}} parent_task_id=[[INIT_TASK_0]]
// CHECK-SAME: {{.*}} parallel_id=[[PAR_0:[0-9]+]]
// CHECK: {{^}}[[MASTER]]: ompt_event_implicit_task_begin:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_0]], task_id=[[IMPL_TASK_0:[0-9]+]]
// user parallel region
// CHECK: {{^}}[[MASTER]]: ompt_event_parallel_begin:
// CHECK-SAME: {{.*}} parent_task_id=[[IMPL_TASK_0]]
// CHECK-SAME: {{.*}} parallel_id=[[PAR_00:[0-9]+]]
// CHECK-SAME: {{.*}} requested_team_size=2
// CHECK: {{^}}[[MASTER]]: ompt_event_implicit_task_begin:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_00]], task_id=[[IMPL_TASK_00:[0-9]+]]
// CHECK-SAME: {{.*}} team_size=2, thread_num=0
//
// barrier event is here
//
// CHECK: {{^}}[[MASTER]]: ompt_event_implicit_task_end:
// CHECK-SAME: {{.*}} parallel_id={{[0-9]+}}, task_id=[[IMPL_TASK_00]]
// CHECK: {{^}}[[MASTER]]: ompt_event_parallel_end:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_00]], task_id=[[IMPL_TASK_0]]
// CHECK: {{^}}[[MASTER]]: ompt_event_implicit_task_end:
// CHECK-SAME: {{.*}} parallel_id={{[0-9]+}}, task_id=[[IMPL_TASK_0]]
// CHECK: {{^}}[[MASTER]]: ompt_event_parallel_end:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_0]], task_id=[[INIT_TASK_0]]
// CHECK: {{^}}[[MASTER]]: ompt_event_initial_task_end:
// CHECK-SAME: task_id=[[INIT_TASK_0]], actual_parallelism=0, index=0
// CHECK: {{^}}[[MASTER]]: ompt_event_teams_end:
// CHECK-SAME: {{.*}} task_id=[[INIT_TASK]], invoker=[[TEAMS_FLAGS]]
// CHECK: {{^}}[[MASTER]]: ompt_event_initial_task_end:
// CHECK-SAME: task_id=[[INIT_TASK]], {{.*}}, index=1
//
// team 0/thread 1
//
// CHECK: {{^}}[[WORKER:[0-9]+]]: ompt_event_implicit_task_begin:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_00]], task_id=[[IMPL_TASK_01:[0-9]+]]
// CHECK-SAME: {{.*}} team_size=2, thread_num=1
//
// barrier event is here
//
// CHECK: {{^}}[[WORKER]]: ompt_event_implicit_task_end:
// CHECK-SAME: {{.*}} parallel_id={{[0-9]+}}, task_id=[[IMPL_TASK_01]]
|
NDArray.h | /*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
#ifndef NDARRAY_H
#define NDARRAY_H
#include <initializer_list>
#include <functional>
#include <shape.h>
#include "NativeOpExcutioner.h"
#include <memory/Workspace.h>
#include <indexing/NDIndex.h>
#include <indexing/IndicesList.h>
#include <graph/Intervals.h>
#include <array/DataType.h>
#include <stdint.h>
#include <array/ArrayOptions.h>
#include <array/ArrayType.h>
#include <array/ResultSet.h>
namespace nd4j {
template<typename T> class ND4J_EXPORT NDArray;
ND4J_EXPORT NDArray<float> operator-(const float, const NDArray<float>&);
ND4J_EXPORT NDArray<float16> operator-(const float16, const NDArray<float16>&);
ND4J_EXPORT NDArray<double> operator-(const double, const NDArray<double>&);
ND4J_EXPORT NDArray<float> operator+(const float, const NDArray<float>&);
ND4J_EXPORT NDArray<float16> operator+(const float16, const NDArray<float16>&);
ND4J_EXPORT NDArray<double> operator+(const double, const NDArray<double>&);
template<typename T> NDArray<T> mmul(const NDArray<T>&, const NDArray<T>&);
template<typename T>
class NDArray {
protected:
/**
* if true then array doesn't own buffer and simply points to another's buffer
*/
bool _isView = false;
/**
* pointer on flattened data array in memory
*/
T *_buffer = nullptr;
/**
* contains shape info: matrix rank, numbers of elements per each dimension, dimensions strides, element-wise-stride, c-like or fortan-like order
*/
Nd4jLong *_shapeInfo = nullptr;
/**
* pointer on externally allocated memory where _buffer and _shapeInfo are stored
*/
nd4j::memory::Workspace* _workspace = nullptr;
/**
* alternative buffers for special computational devices (like GPUs for CUDA)
*/
T* _bufferD = nullptr;
Nd4jLong *_shapeInfoD = nullptr;
/**
* indicates whether user allocates memory for _buffer/_shapeInfo by himself, in opposite case the memory must be allocated from outside
*/
bool _isShapeAlloc = false;
bool _isBuffAlloc = false;
/**
* Field to store cached length
*/
Nd4jLong _length = -1L;
/**
* type of array elements
*/
DataType _dataType = DataType_FLOAT;
std::string toStringValue(T value);
public:
static NDArray<T>* createEmpty(nd4j::memory::Workspace* workspace = nullptr);
static NDArray<T>* valueOf(const std::initializer_list<Nd4jLong>& shape, const T value, const char order = 'c');
static NDArray<T>* valueOf(const std::vector<Nd4jLong>& shape, const T value, const char order = 'c');
static NDArray<T>* linspace(const T from, const T to, const Nd4jLong numElements);
static NDArray<T>* scalar(const T value);
/**
* default constructor, do not allocate memory, memory for array is passed from outside
*/
NDArray(T *buffer = nullptr, Nd4jLong* shapeInfo = nullptr, nd4j::memory::Workspace* workspace = nullptr);
NDArray(std::initializer_list<Nd4jLong> shape, nd4j::memory::Workspace* workspace = nullptr);
/**
* Constructor for scalar NDArray
*/
NDArray(T scalar);
/**
* copy constructor
*/
NDArray(const NDArray<T>& other);
/**
* move constructor
*/
NDArray(NDArray<T>&& other) noexcept;
#ifndef __JAVACPP_HACK__
// this method only available out of javacpp
/**
* This constructor creates vector of T
*
* @param values
*/
NDArray(std::initializer_list<T> values, nd4j::memory::Workspace* workspace = nullptr);
NDArray(std::vector<T> &values, nd4j::memory::Workspace* workspace = nullptr);
#endif
/**
* constructor, create empty array stored at given workspace
*/
NDArray(nd4j::memory::Workspace* workspace);
/**
* this constructor creates new NDArray with shape matching "other" array, do not copy "other" elements into new array
*/
NDArray(const NDArray<T> *other, const bool copyStrides = false, nd4j::memory::Workspace* workspace = nullptr);
/**
* constructor creates new NDArray using shape information from "shapeInfo", set all elements in new array to be zeros, if copyStrides is true then use stride values from "shapeInfo", else calculate strides independently
*/
NDArray(const Nd4jLong* shapeInfo, const bool copyStrides = false, nd4j::memory::Workspace* workspace = nullptr);
/**
* this constructor creates new array using shape information contained in vector argument
*/
NDArray(const char order, const std::vector<Nd4jLong> &shape, nd4j::memory::Workspace* workspace = nullptr);
/**
* This constructor creates new array with elements copied from data and using shape information stored in shape
*
* PLEASE NOTE: data will be copied AS IS, without respect to specified order. You must ensure order match here.
*/
NDArray(const char order, const std::vector<Nd4jLong> &shape, const std::vector<T> &data, nd4j::memory::Workspace* workspace = nullptr);
/**
* this constructor creates new array using given buffer (without memory allocating) and shape information stored in shape
*/
NDArray(T *buffer, const char order, const std::vector<Nd4jLong> &shape , nd4j::memory::Workspace* workspace = nullptr);
/**
* copy assignment operator
*/
NDArray<T>& operator=(const NDArray<T>& other);
/**
* move assignment operator
*/
NDArray<T>& operator=(NDArray<T>&& other) noexcept;
/**
* assignment operator, assigns the same scalar to all array elements
*/
NDArray<T>& operator=(const T scalar);
/**
* operators for memory allocation and deletion
*/
void* operator new(size_t i);
void operator delete(void* p);
/**
* method replaces existing buffer/shapeinfo, AND releases original pointers (if releaseExisting TRUE)
*/
void replacePointers(T *buffer, Nd4jLong *shapeInfo, const bool releaseExisting = true);
/**
* create a new array by replicating current array by repeats times along given dimension
* dimension - dimension along which to repeat elements
* repeats - number of repetitions
*/
NDArray<T>* repeat(int dimension, const std::vector<Nd4jLong>& repeats) const;
/**
* This method returns quantized copy of given array
*
* @param array
* @return
*/
static NDArray<T> quantize(NDArray<T> &array);
/**
* This method returns quantized copy of given array
*
* @param array
* @return
*/
static NDArray<T>* quantize(NDArray<T> *array);
/**
* fill target array by repeating current array
* dimension - dimension along which to repeat elements
*/
void repeat(int dimension, NDArray<T>& target) const;
/**
* return _dataType;
*/
DataType dataType() const;
/**
* creates array which is view of this array
*/
NDArray<T>* getView();
/**
* creates array which points on certain sub-range of this array, sub-range is defined by given indices
*/
NDArray<T> *subarray(IndicesList& indices) const;
NDArray<T> *subarray(IndicesList& indices, std::vector<Nd4jLong>& strides) const;
NDArray<T>* subarray(const std::initializer_list<NDIndex*>& idx) const;
NDArray<T>* subarray(const Intervals& idx) const;
/**
* cast array elements to given dtype
*/
NDArray<T>* cast(DataType dtype);
void cast(NDArray<T>* target, DataType dtype);
/**
* returns _workspace
*/
nd4j::memory::Workspace* getWorkspace() const {
return _workspace;
}
/**
* returns _buffer
*/
T* getBuffer() const;
T* buffer();
/**
* returns _shapeInfo
*/
Nd4jLong* shapeInfo();
Nd4jLong* getShapeInfo() const;
/**
* if _bufferD==nullptr return _buffer, else return _bufferD
*/
T* specialBuffer();
/**
* Returns True if it's legally empty NDArray, or false otherwise
* @return
*/
FORCEINLINE bool isEmpty() const;
/**
* if _shapeInfoD==nullptr return _shapeInfo, else return _shapeInfoD
*/
Nd4jLong* specialShapeInfo();
/**
* set values for _bufferD and _shapeInfoD
*/
void setSpecialBuffers(T * buffer, Nd4jLong *shape);
/**
* permutes (in-place) the dimensions in array according to "dimensions" array
*/
bool permutei(const std::initializer_list<int>& dimensions);
bool permutei(const std::vector<int>& dimensions);
bool permutei(const int* dimensions, const int rank);
bool permutei(const std::initializer_list<Nd4jLong>& dimensions);
bool permutei(const std::vector<Nd4jLong>& dimensions);
bool permutei(const Nd4jLong* dimensions, const int rank);
bool isFinite();
bool hasNaNs();
bool hasInfs();
/**
* permutes the dimensions in array according to "dimensions" array, new array points on _buffer of this array
*/
NDArray<T>* permute(const std::initializer_list<int>& dimensions) const;
NDArray<T>* permute(const std::vector<int>& dimensions) const;
NDArray<T>* permute(const int* dimensions, const int rank) const;
void permute(const int* dimensions, const int rank, NDArray<T>& target) const;
void permute(const std::vector<int>& dimensions, NDArray<T>& target) const;
NDArray<T>* permute(const std::initializer_list<Nd4jLong>& dimensions) const;
NDArray<T>* permute(const std::vector<Nd4jLong>& dimensions) const;
NDArray<T>* permute(const Nd4jLong* dimensions, const int rank) const;
void permute(const Nd4jLong* dimensions, const int rank, NDArray<T>& target) const;
void permute(const std::vector<Nd4jLong>& dimensions, NDArray<T>& target) const;
/**
* This method streamlines given view or permuted array, and reallocates buffer
*/
void streamline(char order = 'a');
/**
* check whether array is contiguous in memory
*/
bool isContiguous();
/**
* prints information about array shape
* msg - message to print out
*/
void printShapeInfo(const char * msg = nullptr) const;
/**
* prints buffer elements
* msg - message to print out
* limit - number of array elements to print out
*/
void printBuffer(const char* msg = nullptr, Nd4jLong limit = -1);
/**
* prints buffer elements, takes into account offset between elements (element-wise-stride)
* msg - message to print out
* limit - number of array elements to print out
*/
void printIndexedBuffer(const char* msg = nullptr, Nd4jLong limit = -1) const;
std::string asIndexedString(Nd4jLong limit = -1);
std::string asString(Nd4jLong limit = -1);
/**
* this method assigns values of given array to this one
*/
void assign(const NDArray<T>* other);
/**
* this method assigns values of given array to this one
*/
void assign(const NDArray<T>& other);
/**
* this method assigns given value to all elements in array
*/
void assign(const T value);
/**
* returns new copy of this array, optionally in different order
*/
NDArray<T> *dup(const char newOrder = 'a');
/**
* returns sum of all elements of array
*/
T sumNumber() const;
/**
* returns mean number of array
*/
T meanNumber() const;
/**
* This method explicitly enforces new shape for this NDArray, old shape/stride information is lost
*/
void enforce(const std::initializer_list<Nd4jLong> &dimensions, char order = 'a');
void enforce(std::vector<Nd4jLong> &dimensions, char order = 'a');
/**
* calculates sum along dimension(s) in this array and save it to created reduced array
* dimensions - array of dimensions to calculate sum over
* keepDims - if true then put unities in place of reduced dimensions
*/
NDArray<T> *sum(const std::vector<int> &dimensions) const;
/**
* method reduces array by excluding its shapes along dimensions present in given dimensions vector, result is stored in new array to be returned
* dimensions - array of dimensions to reduce along
* keepDims - if true then put unities in place of reduced dimensions
*/
template<typename OpName>
NDArray<T>* reduceAlongDimension(const std::vector<int>& dimensions, const bool keepDims = false, const bool supportOldShapes = false) const;
template<typename OpName>
NDArray<T>* reduceAlongDimension(const std::initializer_list<int>& dimensions, const bool keepDims = false, const bool supportOldShapes = false) const;
template<typename OpName>
NDArray<T> reduceAlongDims(const std::vector<int>& dimensions, const bool keepDims = false, const bool supportOldShapes = false) const;
/**
* method reduces array by excluding its shapes along dimensions present in given dimensions vector
* target - where to save result of reducing
* dimensions - array of dimensions to reduce along
* keepDims - if true then put unities in place of reduced dimensions
* extras - extra parameters
*/
template<typename OpName>
void reduceAlongDimension(NDArray<T>* target, const std::vector<int>& dimensions, const bool keepDims = false, const bool supportOldShapes = false, T *extras = nullptr) const;
/**
* return variance of array elements set
* biasCorrected - if true bias correction will be applied
*/
template<typename OpName>
T varianceNumber(bool biasCorrected = true);
/**
* apply scalar operation to array
* extraParams - extra parameters for operation
*/
template<typename OpName>
T reduceNumber(T *extraParams = nullptr) const;
/**
* returns element index which corresponds to some condition imposed by operation
* extraParams - extra parameters for operation
*/
template<typename OpName>
Nd4jLong indexReduceNumber(T *extraParams = nullptr);
/**
* returns index of max element in a given array (optionally: along given dimension(s))
* dimensions - optional vector with dimensions
*/
Nd4jLong argMax(std::initializer_list<int> dimensions = {});
/**
* apply OpName transformation directly to array
* extraParams - extra parameters for operation
*/
template<typename OpName>
void applyTransform(T *extraParams = nullptr);
/**
* apply OpName transformation to array and store result in target
* target - where to store result
* extraParams - extra parameters for operation
*/
template<typename OpName>
void applyTransform(NDArray<T> *target, T *extraParams = nullptr);
/**
* apply OpName transformation to this array and store result in new array being returned
* extraParams - extra parameters for operation
*/
template<typename OpName>
NDArray<T> transform(T *extraParams = nullptr) const;
/**
* apply pairwise OpName transformation based on "this" and "other" arras elements, store result in this array
* other - second array necessary for pairwise operation
* extraParams - extra parameters for operation
*/
template<typename OpName>
void applyPairwiseTransform(NDArray<T> *other, T *extraParams);
/**
* apply pairwise OpName transformation based on "this" and "other" arras elements, store result in target array
* other - second array necessary for pairwise operation
* target - where to store result
* extraParams - extra parameters for operation
*/
template<typename OpName>
void applyPairwiseTransform(NDArray<T> *other, NDArray<T> *target, T *extraParams);
/**
* apply operation which requires broadcasting, broadcast a smaller array (tad) along bigger one (this)
* tad - array to broadcast
* dimensions - dimensions array to broadcast along
* target - where to store result
* extraParams - extra parameters for operation
*/
template<typename OpName>
void applyBroadcast(std::initializer_list<int> dimensions, const NDArray<T>* tad, NDArray<T>* target = nullptr, T* extraArgs = nullptr);
template <typename OpName>
void applyBroadcast(std::vector<int> &dimensions, const NDArray<T> *tad, NDArray<T> *target = nullptr, T *extraArgs = nullptr);
/**
* apply operation which requires broadcasting, broadcast one tensor along another, also this method checks the possibility of broadcasting
* other - input array
* extraParams - extra parameters for operation
*/
template <typename OpName>
NDArray<T> applyTrueBroadcast(const NDArray<T>& other, T *extraArgs = nullptr) const;
template <typename OpName>
NDArray<T>* applyTrueBroadcast(const NDArray<T>* other, T *extraArgs = nullptr) const;
/**
* apply operation which requires broadcasting, broadcast one tensor along another, also this method checks the possibility of broadcasting
* other - input array
* target - where to store result
* checkTargetShape - if true check whether target shape is suitable for broadcasting
* extraParams - extra parameters for operation
*/
template <typename OpName>
void applyTrueBroadcast(const NDArray<T>* other, NDArray<T>* target, const bool checkTargetShape = true, T *extraArgs = nullptr) const;
/**
* apply a scalar operation to an array
* scalar - input scalar
* target - where to store result
* extraParams - extra parameters for operation
*/
template<typename OpName>
void applyScalar(T scalar, NDArray<T>* target = nullptr, T *extraParams = nullptr) const;
/**
* apply a scalar operation to an array
* scalar - input array which is simple scalar
* target - where to store result
* extraParams - extra parameters for operation
*/
template<typename OpName>
void applyScalar(NDArray<T>& scalar, NDArray<T>* target = nullptr, T *extraParams = nullptr) const;
#ifndef __JAVACPP_HACK__
/**
* apply operation "func" to an array
* func - what operation to apply
* target - where to store result
*/
void applyLambda(const std::function<T(T)>& func, NDArray<T>* target = nullptr);
void applyIndexedLambda(const std::function<T(Nd4jLong, T)>& func, NDArray<T>* target = nullptr);
/**
* apply pairwise operation "func" to an array
* other - input array
* func - what pairwise operation to apply
* target - where to store result
*/
void applyPairwiseLambda(const NDArray<T>* other, const std::function<T(T, T)>& func, NDArray<T>* target = nullptr);
void applyIndexedPairwiseLambda(NDArray<T>* other, const std::function<T(Nd4jLong, T, T)>& func, NDArray<T>* target = nullptr);
void applyTriplewiseLambda(NDArray<T>* second, NDArray<T> *third, const std::function<T(T, T, T)>& func, NDArray<T>* target = nullptr);
#endif
/**
* apply OpName random operation to array
* buffer - pointer on RandomBuffer
* y - optional input array
* z - optional input array
* extraArgs - extra parameters for operation
*/
template<typename OpName>
void applyRandom(nd4j::random::RandomBuffer *buffer, NDArray<T>* y = nullptr, NDArray<T>* z = nullptr, T* extraArgs = nullptr);
/**
* apply transpose operation to the copy of this array, that is this array remains unaffected
*/
NDArray<T>* transpose() const;
NDArray<T> transp() const;
/**
* perform transpose operation and store result in target, this array remains unaffected
* target - where to store result
*/
void transpose(NDArray<T>& target) const;
/**
* apply in-place transpose operation to this array, so this array becomes transposed
*/
void transposei();
/**
* return array pointing on certain range of this array
* index - the number of array to be returned among set of possible arrays
* dimensions - array of dimensions to point on
*/
NDArray<T>* tensorAlongDimension(Nd4jLong index, const std::initializer_list<int>& dimensions) const;
NDArray<T>* tensorAlongDimension(Nd4jLong index, const std::vector<int>& dimensions) const;
/**
* returns the number of arrays pointing on specified dimension(s)
* dimensions - array of dimensions to point on
*/
Nd4jLong tensorsAlongDimension(const std::initializer_list<int> dimensions) const ;
Nd4jLong tensorsAlongDimension(const std::vector<int>& dimensions) const ;
/**
* returns true if elements of two arrays are equal to within given epsilon value
* other - input array to compare
* eps - epsilon, this value defines the precision of elements comparison
*/
bool equalsTo(const NDArray<T> *other, T eps = (T) 1e-5f) const;
bool equalsTo(NDArray<T> &other, T eps = (T) 1e-5f) const;
/**
* add given row vector to all rows of this array
* row - row vector to add
*/
void addiRowVector(const NDArray<T> *row);
/**
* add given row vector to all rows of this array, store result in target
* row - row vector to add
* target - where to store result
*/
void addRowVector(const NDArray<T> *row, NDArray<T>* target) const;
/**
* subtract given row vector from all rows of this array, store result in target
* row - row vector to subtract
* target - where to store result
*/
void subRowVector(const NDArray<T> *row, NDArray<T>* target) const;
/**
* multiply all rows of this array on given row vector, store result in target
* row - row vector to multiply on
* target - where to store result
*/
void mulRowVector(const NDArray<T> *row, NDArray<T>* target) const;
/**
* divide all rows of this array on given row vector, store result in target
* row - row vector to divide on
* target - where to store result
*/
void divRowVector(const NDArray<T> *row, NDArray<T>* target) const;
/**
* add given column vector to all columns of this array, store result in target
* column - column vector to add
* target - where to store result
*/
void addColumnVector(const NDArray<T> *column, NDArray<T>* target) const;
/**
* add given column vector to all columns of this array, this array becomes affected (in-place operation)
* column - column vector to add
*/
void addiColumnVector(const NDArray<T> *column);
/**
* multiply all columns of this array on given column vector, this array becomes affected (in-place operation)
* column - column vector to multiply on
*/
void muliColumnVector(const NDArray<T> *column);
/**
* returns number of bytes used by _buffer & _shapeInfo
*/
Nd4jLong memoryFootprint();
/**
* these methods suited for FlatBuffers use
*/
std::vector<T> getBufferAsVector();
std::vector<Nd4jLong> getShapeAsVector();
std::vector<Nd4jLong> getShapeInfoAsVector();
std::vector<int64_t> getShapeInfoAsFlatVector();
/**
* set new order and shape in case of suitable array length (in-place operation)
* order - order to set
* shape - shape to set
*
* if there was permute applied before or there are weird strides, then new buffer is allocated for array
*/
bool reshapei(const char order, const std::initializer_list<Nd4jLong>& shape);
bool reshapei(const char order, const std::vector<Nd4jLong>& shape);
bool reshapei(const std::initializer_list<Nd4jLong>& shape);
bool reshapei(const std::vector<Nd4jLong>& shape);
/**
* creates new array with corresponding order and shape, new array will point on _buffer of this array
* order - order to set
* shape - shape to set
*
* if permute have been applied before or there are weird strides, then new buffer is allocated for new array
*/
NDArray<T>* reshape(const char order, const std::vector<Nd4jLong>& shape) const;
/**
* calculate strides and set given order
* order - order to set
*/
void updateStrides(const char order);
/**
* change an array by repeating it the number of times given by reps (in-place operation)
* repeats - contains numbers of repetitions
*/
void tilei(const std::vector<Nd4jLong>& repeats);
/**
* returns new array which is created by repeating of this array the number of times given by reps
* repeats - contains numbers of repetitions
*/
NDArray<T> tile(const std::vector<Nd4jLong>& repeats) const;
/**
* change an array by repeating it the number of times given by reps (in-place operation)
* repeats - contains numbers of repetitions
* target - where to store result
*/
void tile(const std::vector<Nd4jLong>& repeats, NDArray<T>& target) const;
/**
* change an array by repeating it the number of times to acquire the new shape which is the same as target shape
* target - where to store result
*/
void tile(NDArray<T>& target) const;
/**
* returns an array which is result of broadcasting of this and other arrays
* other - input array
*/
NDArray<T>* broadcast(const NDArray<T>& other);
/**
* check whether array's rows (arg=0) or columns (arg=1) create orthogonal basis
* arg - 0 -> row, 1 -> column
*/
bool hasOrthonormalBasis(const int arg);
/**
* check whether array is identity matrix
*/
bool isIdentityMatrix();
/**
* check whether array is unitary matrix
*/
bool isUnitary();
/**
* reduces dimensions in this array relying on index operation OpName
* dimensions - vector of dimensions to reduce along
* extraArgs - extra parameters for operation
*/
template<typename OpName>
NDArray<T>* applyIndexReduce(const std::vector<int>& dimensions, const T *extraParams = nullptr) const;
/**
* reduces dimensions in array relying on index operation OpName
* target - where to store result
* dimensions - vector of dimensions to reduce along
* extraArgs - extra parameters for operation
*/
template<typename OpName>
void applyIndexReduce(const NDArray<T>* target, const std::vector<int>& dimensions, const T *extraParams = nullptr) const;
/**
* apply reduce3 operation OpName to this and other array, return result in new output array
* other - input array
* extraArgs - extra parameters for operation
*/
template<typename OpName>
NDArray<T>* applyReduce3(const NDArray<T>* other, const T* extraParams = nullptr) const;
/**
* apply reduce3 operation OpName to this and other array, return result in new output array
* other - input array
* dimensions - vector of dimensions to reduce along (tads not axis)
* extraArgs - extra parameters for operation
*/
template<typename OpName>
NDArray<T>* applyAllReduce3(const NDArray<T>* other, const std::vector<int>& dimensions, const T* extraParams = nullptr) const;
/**
* apply reduce3 (exec) operation OpName to this and other array, return result in new output array
* other - input array
* dimensions - vector of dimensions to reduce along (same as reduceAlongDimension)
* extraArgs - extra parameters for operation
*/
template<typename OpName>
NDArray<T>* applyReduce3(const NDArray<T>* other, const std::vector<int>& dimensions, const T* extraParams = nullptr) const;
/**
* returns variance along given dimensions
* biasCorrected - if true bias correction will be applied
* dimensions - vector of dimensions to calculate variance along
*/
template<typename OpName>
NDArray<T>* varianceAlongDimension(const bool biasCorrected, const std::vector<int>& dimensions) const;
template<typename OpName>
NDArray<T>* varianceAlongDimension(const bool biasCorrected, const std::initializer_list<int>& dimensions) const;
template<typename OpName>
void varianceAlongDimension(const NDArray<T>* target, const bool biasCorrected, const std::vector<int>& dimensions);
template<typename OpName>
void varianceAlongDimension(const NDArray<T>* target, const bool biasCorrected, const std::initializer_list<int>& dimensions);
/**
* operator returns subarray with buffer pointing at this->_buffer with offset defined by given intervals
* idx - intervals of indexes which define the subarrays to point on, idx has form {dim0Start,dim0End, dim1Start,dim1End, ....} and length (2 * this->rankOf())
* when (dimStart == dimEnd) then whole range will be used for current dimension
* keepUnitiesInShape - if false then eliminate unities from resulting array shape, for example {1,a,1,b} -> {a,b}
*/
NDArray<T> operator()(const std::vector<Nd4jLong>& idx, bool keepUnitiesInShape = false) const;
/**
* evaluates subarray with buffer pointing at this->_buffer and offset defined by given sequential index subArrIdx and dimensions in dimsToExclude
* subArrIdx - index of current sub-array
* dimsToExclude - MUST BE SORTED, dimensions to evaluate sub-array along, i.e. when shape is [2,3,4,5] and dimsToExclude={0,2}, then there will be 8 sub-arrays with shape [3,5], and subArrIdx must be in range [0,7]
* if dimsToExclude is empty then idxRanges containing all zeros (means whole array) will be returned.
*/
NDArray<T> operator()(const Nd4jLong subArrIdx, const std::vector<int>& dimsToExclude, bool keepUnitiesInShape = false) const;
/**
* addition operator: array + other
* other - input array to add
*/
NDArray<T> operator+(const NDArray<T>& other) const;
/**
* addition operator: array + scalar
* scalar - input scalar to add
*/
NDArray<T> operator+(const T scalar) const;
/**
* friend functions which implement addition operator: scalar + array
* scalar - input scalar to add
*/
friend NDArray<float> nd4j::operator+(const float scalar, const NDArray<float>& arr);
friend NDArray<float16> nd4j::operator+(const float16 scalar, const NDArray<float16>& arr);
friend NDArray<double> nd4j::operator+(const double scalar, const NDArray<double>& arr);
/**
* addition unary operator array += other
* other - input array to add
*/
void operator+=(const NDArray<T>& other);
/**
* subtraction unary operator array -= other
* other - input array to add
*/
void operator-=(const NDArray<T>& other);
void operator+=(const T other);
void operator-=(const T other);
/**
* subtraction operator: array - other
* other - input array to subtract
*/
NDArray<T> operator-(const NDArray<T>& other) const;
/**
* subtraction operator: array - scalar
* scalar - input scalar to subtract
*/
NDArray<T> operator-(const T& scalar) const;
/**
* negative operator, it changes sign of all array elements on opposite
*/
NDArray<T> operator-() const;
/**
* friend functions which implement subtraction operator: scalar - array
* scalar - input scalar to subtract
*/
friend NDArray<float> nd4j::operator-(const float scalar, const NDArray<float>& arr);
friend NDArray<float16> nd4j::operator-(const float16 scalar, const NDArray<float16>& arr);
friend NDArray<double> nd4j::operator-(const double scalar, const NDArray<double>& arr);
/**
* pairwise multiplication operator: array * other
* other - input array to multiply on
*/
NDArray<T> operator*(const NDArray<T>& other) const;
/**
* multiplication operator: array * scalar
* scalar - input scalar to multiply on
*/
NDArray<T> operator*(const T scalar) const;
/**
* pairwise multiplication unary operator array *= other
* other - input array to multiply on
*/
void operator*=(const NDArray<T>& other);
/**
* multiplication unary operator array *= scalar
* scalar - input scalar to multiply on
*/
void operator*=(const T scalar);
/**
* pairwise division operator: array / other
* other - input array to divide on
*/
NDArray<T> operator/(const NDArray<T>& other) const;
/**
* division operator: array / scalar
* scalar - input scalar to divide each array element on
*/
NDArray<T> operator/(const T scalar) const;
/**
* pairwise division unary operator: array /= other
* other - input array to divide on
*/
void operator/=(const NDArray<T>& other);
/**
* division unary operator: array /= scalar
* scalar - input scalar to divide on
*/
void operator/=(const T scalar);
/**
* friend function which implements mathematical multiplication of two arrays
* left - input array
* right - input array
*/
friend NDArray<T> mmul<>(const NDArray<T>& left, const NDArray<T>& right);
/**
* this method assigns elements of other array to the subarray of this array defined by given intervals
* other - input array to assign elements from
* idx - intervals of indexes which define the subarray
*/
void assign(const NDArray<T>& other, const Intervals& idx);
/**
* return vector containing _buffer as flat binary array
*/
std::vector<int8_t> asByteVector();
/**
* makes array to be identity matrix (not necessarily square), that is set all diagonal elements = 1, rest = 0
*/
void setIdentity();
/**
* swaps the contents of tow arrays,
* PLEASE NOTE: method doesn't take into account the shapes of arrays, shapes may be different except one condition: arrays lengths must be the same
*/
void swapUnsafe(NDArray<T>& other);
/**
* return vector with buffer which points on corresponding diagonal elements of array
* type - means of vector to be returned: column ('c') or row ('r')
*/
NDArray<T>* diagonal(const char type ) const;
/**
* fill matrix with given value starting from specified diagonal in given direction, works only with 2D matrix
*
* diag - diagonal starting from matrix is filled.
* diag = 0 corresponds to main diagonal,
* diag < 0 below main diagonal
* diag > 0 above main diagonal
* direction - in what direction to fill matrix. There are 2 possible directions:
* 'u' - fill up, mathematically this corresponds to lower triangular matrix
* 'l' - fill down, mathematically this corresponds to upper triangular matrix
*/
void setValueInDiagMatrix(const T& value, const int diag, const char direction);
/**
* change an array by repeating it the number of times in order to acquire new shape equal to the input shape
*
* shape - contains new shape to broadcast array to
* target - optional argument, if target != nullptr the resulting array will be placed in target, in opposite case tile operation is done in place
*/
void tileToShape(const std::vector<Nd4jLong>& shape, NDArray<T>* target = nullptr);
void tileToShape(const std::initializer_list<Nd4jLong>& shape, NDArray<T>* target = nullptr);
template <typename N>
NDArray<N>* asT();
/**
* calculates the trace of an array, that is sum of elements on main diagonal = sum array[i, i, i, ...]
*/
T getTrace() const;
/**
* fill array linearly as follows: arr[0] = from, arr[1] = from+step, arr[2] = from+2*step, ...
*/
void linspace(const T from, const T step = 1.0f);
NDArray<T>* createUninitialized() const;
ResultSet<T>* multipleTensorsAlongDimension(const std::vector<int>& indices, const std::vector<int>& dimensions) const;
ResultSet<T>* allTensorsAlongDimension(const std::vector<int>& dimensions) const;
ResultSet<T>* allTensorsAlongDimension(const std::initializer_list<int>& dimensions) const;
ResultSet<T>* allExamples()const ;
template <typename OpName>
void saveResultOfBroadcast(const NDArray<T>& x, const NDArray<T>& y, const bool checkThisShape = false);
/**
* default destructor
*/
~NDArray() noexcept;
/**
* set _shapeInfo
*/
FORCEINLINE void setShapeInfo(Nd4jLong *shapeInfo);
/**
* set _buffer
*/
FORCEINLINE void setBuffer(T* buffer);
/**
* set _isBuffAlloc and _isShapeAlloc
*/
FORCEINLINE void triggerAllocationFlag(bool bufferAllocated, bool shapeAllocated);
/**
* returns the value of "dim" dimension
*/
Nd4jLong sizeAt(const int dim) const;
/**
* returns order of array
*/
FORCEINLINE char ordering() const;
/**
* return _isView
*/
FORCEINLINE bool isView();
/**
* returns shape portion of shapeInfo
*/
FORCEINLINE Nd4jLong* shapeOf() const;
/**
* returns strides portion of shapeInfo
*/
FORCEINLINE Nd4jLong* stridesOf() const;
/**
* returns rank of array
*/
FORCEINLINE int rankOf() const;
/**
* returns length of array
*/
FORCEINLINE Nd4jLong lengthOf() const;
/**
* returns number of rows in array
*/
FORCEINLINE Nd4jLong rows() const;
/**
* returns number of columns in array
*/
FORCEINLINE Nd4jLong columns() const;
/**
* returns size of array elements type
*/
FORCEINLINE int sizeOfT() const;
/**
* returns element-wise-stride
*/
FORCEINLINE Nd4jLong ews() const;
// returns true if arrays have same shape
FORCEINLINE bool isSameShape(const NDArray<T> *other) const;
FORCEINLINE bool isSameShape(NDArray<T> &other) const;
FORCEINLINE bool isSameShape(const std::initializer_list<Nd4jLong>& shape) const;
FORCEINLINE bool isSameShape(const std::vector<Nd4jLong>& shape) const;
/**
* returns true if these two NDArrays have same rank, dimensions, strides, ews and order
*/
FORCEINLINE bool isSameShapeStrict(const NDArray<T> *other) const;
/**
* returns true if buffer && shapeInfo were defined (non nullptr)
*/
FORCEINLINE bool nonNull() const;
/**
* returns array element with given index from linear buffer
* i - element index in array
*/
FORCEINLINE T getScalar(const Nd4jLong i) const;
/**
* returns array element with given index, takes into account offset between elements (element-wise-stride)
* i - element index in array
*/
FORCEINLINE T getIndexedScalar(const Nd4jLong i) const;
/**
* returns element with given indexes from 2D array
* i - number of row
* j - number of column
*/
FORCEINLINE T getScalar(const Nd4jLong i, const Nd4jLong j) const;
/**
* returns element with given indexes from 3D array
* i - height
* j - width
* k - depth
*/
FORCEINLINE T getScalar(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) const;
/**
* assigns given scalar to array element by given index, takes into account offset between elements (element-wise-stride)
* i - element index in array
* value - scalar value to assign
*/
FORCEINLINE void putIndexedScalar(const Nd4jLong i, const T value);
/**
* assigns given scalar to array element by given index, regards array buffer as linear
* i - element index in array
* value - scalar value to assign
*/
FORCEINLINE void putScalar(const Nd4jLong i, const T value);
/**
* assigns given scalar to 2D array element by given indexes
* i - number of row
* j - number of row
* value - scalar value to assign
*/
FORCEINLINE void putScalar(const Nd4jLong i, const Nd4jLong j, const T value);
/**
* assigns given scalar to 3D array element by given indexes
* i - height
* j - width
* k - depth
* value - scalar value to assign
*/
FORCEINLINE void putScalar(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const T value);
/**
* returns true if array is 2D
*/
FORCEINLINE bool isMatrix() const;
/**
* returns true if array is vector
*/
FORCEINLINE bool isVector() const;
/**
* returns true if array is column vector
*/
FORCEINLINE bool isColumnVector() const;
/**
* returns true if array is row vector
*/
FORCEINLINE bool isRowVector() const;
/**
* returns true if array is scalar
*/
FORCEINLINE bool isScalar() const;
/**
* inline accessing operator for matrix, i - absolute index
*/
FORCEINLINE T operator()(const Nd4jLong i) const;
/**
* inline modifying operator for matrix, i - absolute index
*/
FORCEINLINE T& operator()(const Nd4jLong i);
/**
* inline accessing operator for 2D array, i - row, j - column
*/
FORCEINLINE T operator()(const Nd4jLong i, const Nd4jLong j) const;
/**
* inline modifying operator for 2D array, i - row, j - column
*/
FORCEINLINE T& operator()(const Nd4jLong i, const Nd4jLong j);
/**
* inline accessing operator for 3D array, i - height, j - width, k - depth
*/
FORCEINLINE T operator()(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) const;
/**
* inline modifying operator for 3D array, i - height, j - width, k - depth
*/
FORCEINLINE T& operator()(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k);
/**
* inline modifying operator for 4D array, i - height, j - width, k - depth
*/
FORCEINLINE T& operator()(const Nd4jLong t, const Nd4jLong u, const Nd4jLong v, const Nd4jLong w);
/**
* inline accessing operator for 4D array, i - height, j - width, k - depth
*/
FORCEINLINE T operator()(const Nd4jLong t, const Nd4jLong u, const Nd4jLong v, const Nd4jLong w) const;
/**
* inline modifying operator for ND array
* idx - array with corresponding indexes, for example {2,10,0,5,...,8}, number of indexes should be equal to array rank
*/
FORCEINLINE T& operator()(const Nd4jLong* idx);
/**
* inline accessing operator for ND array
* idx - array with corresponding indexes, for example {2,10,0,5,...,8}, number of indexes should be equal to array rank
*/
FORCEINLINE T operator()(const Nd4jLong* idx) const;
template <typename T2>
FORCEINLINE std::vector<T2> asVectorT();
FORCEINLINE bool isAttached();
NDArray<T>* detach();
FORCEINLINE bool operator == (const NDArray<T> &other) const;
};
//////////////////////////////////////////////////////////////////////////
///// IMLEMENTATION OF INLINE METHODS /////
//////////////////////////////////////////////////////////////////////////
template <typename T>
template <typename T2>
std::vector<T2> NDArray<T>::asVectorT() {
std::vector<T2> result(this->lengthOf());
#pragma omp parallel for simd
for (int e = 0; e < this->lengthOf(); e++)
result[e] = static_cast<T2>(this->getIndexedScalar(e));
return result;
}
template<typename T>
bool NDArray<T>::isAttached() {
return this->_workspace != nullptr;
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
void NDArray<T>::setShapeInfo(Nd4jLong *shapeInfo) {
if(_isShapeAlloc && _workspace == nullptr)
delete []_shapeInfo;
_shapeInfo = shapeInfo;
_isShapeAlloc = false;
if (shapeInfo != nullptr)
this->_length = shape::length(shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
void NDArray<T>::setBuffer(T* buffer) {
if(_isBuffAlloc && _workspace == nullptr)
delete []_buffer;
_buffer = buffer;
_isBuffAlloc = false;
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
void NDArray<T>::triggerAllocationFlag(bool bufferAllocated, bool shapeAllocated) {
_isBuffAlloc = bufferAllocated;
_isShapeAlloc = shapeAllocated;
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
char NDArray<T>::ordering() const {
return shape::order(_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isView() {
return _isView;
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
Nd4jLong* NDArray<T>::shapeOf() const {
return shape::shapeOf(_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
Nd4jLong* NDArray<T>::stridesOf() const {
return shape::stride(_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
int NDArray<T>::rankOf() const {
if (isEmpty())
return 0;
return shape::rank(_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
Nd4jLong NDArray<T>::lengthOf() const {
return _length;
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
Nd4jLong NDArray<T>::rows() const {
if (this->rankOf() == 1)
return 1;
if (this->rankOf() > 2)
throw std::runtime_error("Array with rank > 2 can't have rows");
return shapeOf()[0];
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
Nd4jLong NDArray<T>::columns() const {
if (this->rankOf() == 1)
return this->lengthOf();
if (this->rankOf() > 2)
throw std::runtime_error("Array with rank > 2 can't have columns");
return shapeOf()[1];
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
int NDArray<T>::sizeOfT() const {
return sizeof(T);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
Nd4jLong NDArray<T>::ews() const {
if (this->isEmpty() || this->rankOf() == 0)
return 1;
return shape::elementWiseStride(_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::nonNull() const {
if (isEmpty())
return true;
return this->_buffer != nullptr && this->_shapeInfo != nullptr;
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isMatrix() const {
if (isEmpty())
return false;
return shape::isMatrix(this->_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isVector() const {
if (isEmpty())
return false;
return !isScalar() && shape::isVector(this->_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isColumnVector() const {
if (isEmpty())
return false;
return !isScalar() && shape::isColumnVector(this->_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isRowVector() const {
if (isEmpty())
return false;
// 1D edge case
if (shape::rank(this->_shapeInfo) == 1)
return true;
return !isScalar() && shape::isRowVector(this->_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isScalar() const {
return shape::isScalar(this->_shapeInfo);
}
//////////////////////////////////////////////////////////////////////////
// accessing operator for matrix, i - absolute index
template<typename T>
T NDArray<T>::operator()(const Nd4jLong i) const {
if (i >= shape::length(_shapeInfo))
throw std::invalid_argument("NDArray::operator(i): input index is out of array length !");
auto ews = shape::elementWiseStride(_shapeInfo);
char order = ordering();
if(ews == 1 && order == 'c')
return _buffer[i];
else if(ews > 1 && order == 'c')
return _buffer[i*ews];
else {
Nd4jLong idx[MAX_RANK];
shape::ind2subC(rankOf(), shapeOf(), i, idx);
Nd4jLong offset = shape::getOffset(0, shapeOf(), stridesOf(), idx, rankOf());
return _buffer[offset];
}
}
//////////////////////////////////////////////////////////////////////////
// modifying operator for matrix, i - absolute index
template<typename T>
T& NDArray<T>::operator()(const Nd4jLong i) {
if (i >= shape::length(_shapeInfo))
throw std::invalid_argument("NDArray::operator(i): input index is out of array length !");
auto ews = shape::elementWiseStride(_shapeInfo);
auto order = ordering();
if(ews == 1 && order == 'c')
return _buffer[i];
else if(ews > 1 && order == 'c')
return _buffer[i*ews];
else {
Nd4jLong idx[MAX_RANK];
shape::ind2subC(rankOf(), shapeOf(), i, idx);
auto offset = shape::getOffset(0, shapeOf(), stridesOf(), idx, rankOf());
return _buffer[offset];
}
}
//////////////////////////////////////////////////////////////////////////
// accessing operator for 2D matrix, i - row, j - column
template<typename T>
T NDArray<T>::operator()(const Nd4jLong i, const Nd4jLong j) const {
if (rankOf() != 2 || i >= shapeOf()[0] || j >= shapeOf()[1])
throw std::invalid_argument("NDArray::operator(i,j): one of input indexes is out of array length or rank!=2 !");
Nd4jLong coords[2] = {i, j};
auto xOffset = shape::getOffset(0, shapeOf(), stridesOf(), coords, rankOf());
return _buffer[xOffset];
}
//////////////////////////////////////////////////////////////////////////
// modifying operator for 2D matrix, i - row, j - column
template<typename T>
T& NDArray<T>::operator()(const Nd4jLong i, const Nd4jLong j) {
if (rankOf() != 2 || i >= shapeOf()[0] || j >= shapeOf()[1])
throw std::invalid_argument("NDArray::operator(i,j): one of input indexes is out of array length or rank!=2 !");
Nd4jLong coords[2] = {i, j};
auto xOffset = shape::getOffset(0, shapeOf(), stridesOf(), coords, rankOf());
return _buffer[xOffset];
}
//////////////////////////////////////////////////////////////////////////
// accessing operator for 3D array, i - row, j - column
template<typename T>
T NDArray<T>::operator()(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) const {
if (rankOf() != 3 || i >= shapeOf()[0] || j >= shapeOf()[1] || j >= shapeOf()[2])
throw std::invalid_argument("NDArray::operator(i,j,k): one of input indexes is out of array length or rank!=3 !");
Nd4jLong coords[3] = {i, j, k};
auto xOffset = shape::getOffset(0, shapeOf(), stridesOf(), coords, rankOf());
return _buffer[xOffset];
}
//////////////////////////////////////////////////////////////////////////
// modifying operator for 3D array
template<typename T>
T& NDArray<T>::operator()(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) {
if (rankOf() != 3 || i >= shapeOf()[0] || j >= shapeOf()[1] || k >= shapeOf()[2])
throw std::invalid_argument("NDArray::operator(i,j,k): one of input indexes is out of array length or rank!=3 !");
Nd4jLong coords[3] = {i, j, k};
auto xOffset = shape::getOffset(0, shapeOf(), stridesOf(), coords, rankOf());
return _buffer[xOffset];
}
template<typename T>
T NDArray<T>::operator()(const Nd4jLong t, const Nd4jLong u, const Nd4jLong v, const Nd4jLong w) const {
if (rankOf() != 4 || t >= shapeOf()[0] || u >= shapeOf()[1] || v >= shapeOf()[2] || w >= shapeOf()[3])
throw std::invalid_argument("NDArray::operator(t,u,v,w): one of input indexes is out of array length or rank!=4 !");
Nd4jLong coords[4] = {t, u, v, w};
auto xOffset = shape::getOffset(0, shapeOf(), stridesOf(), coords, rankOf());
return _buffer[xOffset];
}
template<typename T>
T& NDArray<T>::operator()(const Nd4jLong t, const Nd4jLong u, const Nd4jLong v, const Nd4jLong w) {
if (rankOf() != 4 || t >= shapeOf()[0] || u >= shapeOf()[1] || v >= shapeOf()[2] || w >= shapeOf()[3])
throw std::invalid_argument("NDArray::operator(t,u,v,w): one of input indexes is out of array length or rank!=4 !");
Nd4jLong coords[4] = {t, u, v, w};
auto xOffset = shape::getOffset(0, shapeOf(), stridesOf(), coords, rankOf());
return _buffer[xOffset];
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
T NDArray<T>::operator()(const Nd4jLong* idx) const {
for(int i = 0; i < rankOf(); ++i)
if (idx[i] >= sizeAt(i))
throw std::invalid_argument("NDArray::operator(const Nd4jLong* idx): input index is out of dimension length !");
return _buffer[shape::getOffset(0, shapeOf(), stridesOf(), idx, rankOf())];
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
T& NDArray<T>::operator()(const Nd4jLong* idx) {
for(int i = 0; i < rankOf(); ++i)
if (idx[i] >= sizeAt(i))
throw std::invalid_argument("NDArray::operator(const Nd4jLong* idx): input index is out of dimension length !");
return _buffer[shape::getOffset(0, shapeOf(), stridesOf(), idx, rankOf())];
}
//////////////////////////////////////////////////////////////////////////
// Return value from linear buffer
template<typename T>
T NDArray<T>::getScalar(const Nd4jLong i) const
{ return (*this)(i); }
//////////////////////////////////////////////////////////////////////////
template<typename T>
T NDArray<T>::getIndexedScalar(const Nd4jLong i) const {
return (*this)(i);
}
//////////////////////////////////////////////////////////////////////////
// Returns value from 2D matrix by coordinates/indexes
template<typename T>
T NDArray<T>::getScalar(const Nd4jLong i, const Nd4jLong j) const
{ return (*this)(i, j); }
//////////////////////////////////////////////////////////////////////////
// returns value from 3D tensor by coordinates
template<typename T>
T NDArray<T>::getScalar(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k) const
{ return (*this)(i, j, k); }
//////////////////////////////////////////////////////////////////////////
template<typename T>
void NDArray<T>::putIndexedScalar(const Nd4jLong i, const T value)
{ (*this)(i) = value; }
//////////////////////////////////////////////////////////////////////////
// This method sets value in linear buffer to position i
template<typename T>
void NDArray<T>::putScalar(const Nd4jLong i, const T value)
{ (*this)(i) = value; }
//////////////////////////////////////////////////////////////////////////
// This method sets value in 2D matrix to position i, j
template<typename T>
void NDArray<T>::putScalar(const Nd4jLong i, const Nd4jLong j, const T value)
{ (*this)(i,j) = value; }
//////////////////////////////////////////////////////////////////////////
// This method sets value in 3D matrix to position i,j,k
template<typename T>
void NDArray<T>::putScalar(const Nd4jLong i, const Nd4jLong j, const Nd4jLong k, const T value)
{ (*this)(i,j,k) = value; }
//////////////////////////////////////////////////////////////////////////
template<typename T>
Nd4jLong NDArray<T>::memoryFootprint() {
Nd4jLong size = this->lengthOf() * this->sizeOfT();
size += shape::shapeInfoByteLength(this->rankOf());
return size;
}
//////////////////////////////////////////////////////////////////////////
// still the definition of inline function must be in header file
template<typename T>
bool NDArray<T>::isSameShape(const std::vector<Nd4jLong>& shape) const{
if (this->isScalar() && shape.size() == 1 && shape[0] == 0)
return true;
if (this->rankOf() != (int) shape.size())
return false;
for (int e = 0; e < this->rankOf(); e++) {
if (this->shapeOf()[e] != shape.at(e) && shape.at(e) != -1)
return false;
}
return true;
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isSameShape(const NDArray<T> *other) const {
if (this->isEmpty() != other->isEmpty())
return false;
return isSameShape(std::vector<Nd4jLong>(other->_shapeInfo+1, other->_shapeInfo+1+other->_shapeInfo[0]));
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isSameShape(NDArray<T> &other) const {
return isSameShape(&other);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
bool NDArray<T>::isSameShape(const std::initializer_list<Nd4jLong>& other) const {
return isSameShape(std::vector<Nd4jLong>(other));
}
//////////////////////////////////////////////////////////////////////////
// returns true if these two NDArrays have same _shapeInfo
// still the definition of inline function must be in header file
template<typename T>
bool NDArray<T>::isSameShapeStrict(const NDArray<T> *other) const {
return shape::equalsStrict(_shapeInfo, other->_shapeInfo);
}
template<typename T>
bool NDArray<T>::isEmpty() const {
return ArrayOptions::arrayType(this->getShapeInfo()) == ArrayType::EMPTY;
}
template <typename T>
bool NDArray<T>::operator ==(const NDArray<T> &other) const {
if (!this->isSameShape(&other))
return false;
return this->equalsTo(&other);
}
}
#endif
|
conv_dw_dilation_kernel_arm.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Copyright (c) 2021, OPEN AI LAB
* Author: haoluo@openailab.com
*/
#ifndef __CONV_DW_DILATION_KERNEL_ARM_H_
#define __CONV_DW_DILATION_KERNEL_ARM_H_
#include "graph/tensor.h"
#include "graph/node.h"
#include "graph/graph.h"
#include "convolution_param.h"
#include "conv_dw_k5_k7_kernel_arm.h"
int conv_dw_dilation_run(float* input_buf, float* weight_buf, float* bias, float* output_buf, int input_h, int input_w,
int channel, int pad, int activation, int num_thread)
{
int channel_size = input_h * input_w;
int mid_w = input_w - pad * 2;
int mid_block_end = (mid_w & -4) + pad;
int mid_end = mid_w + pad;
int w = 0;
#pragma omp parallel for num_threads(num_thread)
for (int c = 0; c < channel; c++)
{
float* input_buf_c = input_buf + c * channel_size;
float* output_buf_c = output_buf + c * channel_size;
float* weight_buf_c = weight_buf + c * 9;
float bias_c = bias ? bias[c] : 0;
for (int h = 0; h < pad; h++)
{
for (w = 0; w < pad; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[5] * input_buf_c[h * input_w + w + pad];
tmp += weight_buf_c[7] * input_buf_c[(h + pad) * input_w + w];
tmp += weight_buf_c[8] * input_buf_c[(h + pad) * input_w + w + pad];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
}
for (; w < mid_block_end; w += 4)
{
float32x4_t tmp_4 = vdupq_n_f32(bias_c);
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[3]), vld1q_f32(input_buf_c + h * input_w + w - pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[4]), vld1q_f32(input_buf_c + h * input_w + w));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[5]), vld1q_f32(input_buf_c + h * input_w + w + pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[6]),
vld1q_f32(input_buf_c + (h + pad) * input_w + w - pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[7]), vld1q_f32(input_buf_c + (h + pad) * input_w + w));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[8]),
vld1q_f32(input_buf_c + (h + pad) * input_w + w + pad));
tmp_4 = vector_activation(tmp_4, activation);
vst1q_f32(output_buf_c + h * input_w + w, tmp_4);
}
for (; w < mid_end; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[3] * input_buf_c[h * input_w + w - pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[5] * input_buf_c[h * input_w + w + pad];
tmp += weight_buf_c[6] * input_buf_c[(h + pad) * input_w + w - pad];
tmp += weight_buf_c[7] * input_buf_c[(h + pad) * input_w + w];
tmp += weight_buf_c[8] * input_buf_c[(h + pad) * input_w + w + pad];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
for (; w < input_w; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[3] * input_buf_c[h * input_w + w - pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[6] * input_buf_c[(h + pad) * input_w + w - pad];
tmp += weight_buf_c[7] * input_buf_c[(h + pad) * input_w + w];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
}
for (int h = pad; h < input_h - pad; h++)
{
for (w = 0; w < pad; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[1] * input_buf_c[(h - pad) * input_w + w];
tmp += weight_buf_c[2] * input_buf_c[(h - pad) * input_w + w + pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[5] * input_buf_c[h * input_w + w + pad];
tmp += weight_buf_c[7] * input_buf_c[(h + pad) * input_w + w];
tmp += weight_buf_c[8] * input_buf_c[(h + pad) * input_w + w + pad];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
for (; w < mid_block_end; w += 4)
{
float32x4_t tmp_4 = vdupq_n_f32(bias_c);
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[0]),
vld1q_f32(input_buf_c + (h - pad) * input_w + w - pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[1]), vld1q_f32(input_buf_c + (h - pad) * input_w + w));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[2]),
vld1q_f32(input_buf_c + (h - pad) * input_w + w + pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[3]), vld1q_f32(input_buf_c + h * input_w + w - pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[4]), vld1q_f32(input_buf_c + h * input_w + w));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[5]), vld1q_f32(input_buf_c + h * input_w + w + pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[6]),
vld1q_f32(input_buf_c + (h + pad) * input_w + w - pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[7]), vld1q_f32(input_buf_c + (h + pad) * input_w + w));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[8]),
vld1q_f32(input_buf_c + (h + pad) * input_w + w + pad));
tmp_4 = vector_activation(tmp_4, activation);
vst1q_f32(output_buf_c + h * input_w + w, tmp_4);
}
for (; w < mid_end; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[0] * input_buf_c[(h - pad) * input_w + w - pad];
tmp += weight_buf_c[1] * input_buf_c[(h - pad) * input_w + w];
tmp += weight_buf_c[2] * input_buf_c[(h - pad) * input_w + w + pad];
tmp += weight_buf_c[3] * input_buf_c[h * input_w + w - pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[5] * input_buf_c[h * input_w + w + pad];
tmp += weight_buf_c[6] * input_buf_c[(h + pad) * input_w + w - pad];
tmp += weight_buf_c[7] * input_buf_c[(h + pad) * input_w + w];
tmp += weight_buf_c[8] * input_buf_c[(h + pad) * input_w + w + pad];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
for (; w < input_w; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[0] * input_buf_c[(h - pad) * input_w + w - pad];
tmp += weight_buf_c[1] * input_buf_c[(h - pad) * input_w + w];
tmp += weight_buf_c[3] * input_buf_c[h * input_w + w - pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[6] * input_buf_c[(h + pad) * input_w + w - pad];
tmp += weight_buf_c[7] * input_buf_c[(h + pad) * input_w + w];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
}
for (int h = input_h - pad; h < input_h; h++)
{
for (w = 0; w < pad; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[1] * input_buf_c[(h - pad) * input_w + w];
tmp += weight_buf_c[2] * input_buf_c[(h - pad) * input_w + w + pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[5] * input_buf_c[h * input_w + w + pad];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
for (; w < mid_block_end; w += 4)
{
float32x4_t tmp_4 = vdupq_n_f32(bias_c);
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[0]),
vld1q_f32(input_buf_c + (h - pad) * input_w + w - pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[1]), vld1q_f32(input_buf_c + (h - pad) * input_w + w));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[2]),
vld1q_f32(input_buf_c + (h - pad) * input_w + w + pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[3]), vld1q_f32(input_buf_c + h * input_w + w - pad));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[4]), vld1q_f32(input_buf_c + h * input_w + w));
tmp_4 = vmlaq_f32(tmp_4, vdupq_n_f32(weight_buf_c[5]), vld1q_f32(input_buf_c + h * input_w + w + pad));
tmp_4 = vector_activation(tmp_4, activation);
vst1q_f32(output_buf_c + h * input_w + w, tmp_4);
}
for (; w < mid_end; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[0] * input_buf_c[(h - pad) * input_w + w - pad];
tmp += weight_buf_c[1] * input_buf_c[(h - pad) * input_w + w];
tmp += weight_buf_c[2] * input_buf_c[(h - pad) * input_w + w + pad];
tmp += weight_buf_c[3] * input_buf_c[h * input_w + w - pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
tmp += weight_buf_c[5] * input_buf_c[h * input_w + w + pad];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
for (; w < input_w; w++)
{
float tmp = bias_c;
tmp += weight_buf_c[0] * input_buf_c[(h - pad) * input_w + w - pad];
tmp += weight_buf_c[1] * input_buf_c[(h - pad) * input_w + w];
tmp += weight_buf_c[3] * input_buf_c[h * input_w + w - pad];
tmp += weight_buf_c[4] * input_buf_c[h * input_w + w];
output_buf_c[h * input_w + w] = elem_activation(tmp, activation);
;
}
}
}
return 0;
}
#endif
|
markstm.c | //** 2 functions called from i2.c **//
/* Move markers by using simple Runge-Kutta method */
void movemarkomp()
{
/* Vx, Vy buffer */
double dvxdx,dvxdy,dvydx,dvydy,celdx,celdy,vx0,vx1,vx2,vx3,vx4,vy0,vy1,vy2,vy3,vy4,ee0,ee1,ee2,ee3,ee4,sp0,sp1,sp2,sp3,sp4,pr0,pr1,pr2,pr3,pr4;
/* Water */
double vxwater,vywater;
long int mm1,marknum1,m10,m20,m30,m1,m2,m3;
/* Erosion-Sedimentation Y/N */
int n1;
int mm2;
/* Nonstabilyty for immobile markers */
double xnonstab=0.50,ynonstab=0.60;
double dpdx,dpdy,e,n,vxkoef,vykoef,dx,dy;
double start;
/* Hydration front progress */
#if setup>9
start=omp_get_wtime();
/* dehydration */
if(vyfluid!=0 && timesum>1e+11) hydration2omp();
fprintf(fp_log,"\n Time taken for hydration = %e s \n",omp_get_wtime()-start);
#endif
/* Save number of markers */
marknum1=marknum;
/* Surface changes */
#if setup>9
start=omp_get_wtime();
if (timestep && erosmod) erosion();
fprintf(fp_log,"\n Time taken for erosion = %e s \n",omp_get_wtime()-start);
#endif
/* Move markers */
#pragma omp parallel for shared(markx,marky,markt,markim,markk,markxx,markxy,markd,markv,markp,markexx,markexy,markw,marke,marknum1,follow,nm,ystpy,m10_hr,m11_hr,marknum,outgrid,eroslev,vyfluid,vymelt,GXKOEF,GYKOEF,markmod,timestep,zdeep,tdeep,markht,xsize,ysize,xnumx,ynumy,gx,gy,pr,esp,exx,exy,vx,vy,markcp,markkt,markkf,markkp,markro,markbb,markaa,marknu,markn0,markn1,markll,marka0,marka1,markb0,markb1,markdh,markdv,markss,markmm,marks1,start_cond,stoksmod) \
private(mm1,mm2,m10,m20,m1,m2,m3,n1,vxwater,vywater,e,n,dpdx,dpdy,a,b,vxkoef,vykoef,vx0,vy0,sp0,ee0,pr0,vx1,vy1,sp1,ee1,pr1,vx2,vy2,sp2,ee2,pr2,vx3,vy3,sp3,ee3,pr3,vx4,vy4,sp4,ee4,pr4,dx,dy) \
schedule(runtime)
for (mm1=0;mm1<marknum;mm1++)
{
/* Marker type */
mm2=(int)markt[mm1]; if (mm2>=100) mm2-=100;
if( ((markx[mm1]>=0 && marky[mm1]>=0 && (markx[mm1])<=xsize && (marky[mm1])<=ysize) || outgrid!=1) && !markim[mm2] )
{
// Search marker location within nodal grid
m10=m1serch(markx[mm1]);
m20=m2serch(marky[mm1]);
/**/
/* Erosion-Sedimentation */
if((marky[mm1])<=eroslev) n1=1; else n1=0;
/* Water marker move */
vxwater=vywater=0;
if(markt[mm1]>=50 && markt[mm1]<100)
{
/* Water velocity */
vywater=vyfluid; if(markd[mm1]>1100.0) vywater=vymelt;
/* Fluid in rock */
if(vyfluid>0 && (markk[mm1]==0 || markk[mm1]>298.0))
{
/* Horizontal,Vertical P-cell index */
m1=m10; if(markx[mm1]>(gx[m1]+gx[m1+1])/2.0) m1+=1;
if(m1<1) m1=1; if(m1>xnumx-2) m1=xnumx-2;
m2=m20; if(marky[mm1]>(gy[m2]+gy[m2+1])/2.0) m2+=1;
if(m2<1) m2=1; if(m2>ynumy-2) m2=ynumy-2;
/* Pressure gradients */
e=(markx[mm1]-(gx[m1-1]+gx[m1])/2.0)/((gx[m1+1]-gx[m1-1])/2.0);
n=(marky[mm1]-(gy[m2-1]+gy[m2])/2.0)/((gy[m2+1]-gy[m2-1])/2.0);
m3=m1*ynumy+m2;
dpdx=2.0*((1.0-n)*(pr[m3+ynumy]-pr[m3])+n*(pr[m3+ynumy+1]-pr[m3+1]))/(gx[m1+1]-gx[m1-1]);
dpdy=2.0*((1.0-e)*(pr[m3+1]-pr[m3])+e*(pr[m3+ynumy+1]-pr[m3+ynumy]))/(gy[m2+1]-gy[m2-1]);
/* Recalc velocity koefficients */
vxkoef=(1000.0*GXKOEF-dpdx)/(2300.0*9.81);
vykoef=(1000.0*GYKOEF-dpdy)/(2300.0*9.81);
if(vxkoef>2.0) vxkoef=2.0; if(vxkoef<-2.0) vxkoef=-2.0;
if(vykoef>2.0) vykoef=2.0; if(vykoef<-2.0) vykoef=-2.0;
/* Recalc velocity */
vxwater=vywater*vxkoef;
vywater*=vykoef;
}
else
/* Fluid in water */
{
vxwater=0;
vywater=-ABSV(vywater);
}
}
/* Motion Calc ///////////////////////////////// */
/* Vx, Vy, EpsII Simple calc */
if(markmod==1)
{
/* Interpolate velocity, pressure?, EE(eii), and ESP (spin) */
// These marker values are not stored, they are used in this routine to move each marker in private, thats it.
allinteriomp(markx[mm1],marky[mm1],m10,m20,&vx0,&vy0,&pr0,&sp0,&ee0);
vx0+=vxwater; vy0+=vywater;
/**/
/* fprintf(fp_log,"SIMPLE %ld %d %e %e %e %e %e",mm1,markt[mm1],markx[mm1],marky[mm1],vx0,vy0,sp0); getchar(); */
}
/* Vx, Vy, EpsII 4 Runge-Kutta koef calc */
else
{
allinteriomp(markx[mm1],marky[mm1],m10,m20,&vx1,&vy1,&pr1,&sp1,&ee1);
vx1+=vxwater; vy1+=vywater;
/**/
//fprintf(fltest,"RK4 %ld %d %e %e %e %e %e %e \n",mm1,markt[mm1],markx[mm1],marky[mm1],vx1,vy1,sp1,ee1);
/**/
allinteriomp(markx[mm1]+vx1*timestep/2.0,marky[mm1]+vy1*timestep/2.0,m10,m20,&vx2,&vy2,&pr2,&sp2,&ee2);
vx2+=vxwater; vy2+=vywater;
/**/
allinteriomp(markx[mm1]+vx2*timestep/2.0,marky[mm1]+vy2*timestep/2.0,m10,m20,&vx3,&vy3,&pr3,&sp3,&ee3);
vx3+=vxwater; vy3+=vywater;
/**/
allinteriomp(markx[mm1]+vx3*timestep,marky[mm1]+vy3*timestep,m10,m20,&vx4,&vy4,&pr4,&sp4,&ee4);
vx4+=vxwater; vy4+=vywater;
/**/
/* Vx,Vy, EpsXX, EpsYY, EpsXY calc after Runge-Kutta */
vx0=(vx1+2.0*vx2+2.0*vx3+vx4)/6.0;
vy0=(vy1+2.0*vy2+2.0*vy3+vy4)/6.0;
if(markmod==2)
{
sp0=(sp1+2.0*sp2+2.0*sp3+sp4)/6.0;
ee0=(ee1+2.0*ee2+2.0*ee3+ee4)/6.0;
}
else
{
sp0=sp1;
ee0=ee1;
}
}
/* Orthogonal motion only */
if (outgrid==2)
{
if(markx[mm1]<0 || (markx[mm1])>xsize) vy0=0;
if(marky[mm1]<0 || (marky[mm1])>ysize) vx0=0;
}
/* Normal markers */
if(markt[mm1]<100)
{
/* Markers coming from below the model */
if(marky[mm1]>zdeep && markk[mm1]<tdeep) markk[mm1]=tdeep;
// If you do not want to apply a large temperature lower boundary condition use:
//if(marky[mm1]>zdeep && vy0<0 && markk[mm1]<tdeep) markk[mm1]=tdeep;
/* Normal markers */
/* X,Y calc after Runge-Kutta */
markx[mm1]+=(timestep*vx0);
marky[mm1]+=(timestep*vy0);
if(marke[mm1]>0)
{
marke[mm1]+=(timestep*ee0);
}
sp0*=timestep;
/* Turcotte & Schubert, 1995 rotation formula */
if(stoksmod==1)
{
sp1=markxx[mm1]*cos(sp0)*cos(sp0)-markxx[mm1]*sin(sp0)*sin(sp0)+markxy[mm1]*sin(2.0*sp0);
sp3=0.5*(-markxx[mm1]-markxx[mm1])*sin(2.0*sp0)+markxy[mm1]*cos(2.0*sp0);
markxx[mm1]=sp1;
markxy[mm1]=sp3;
}
/* Jaumann corrotation formula */
if(stoksmod==2)
{
sp1=markxx[mm1]+markxy[mm1]*2.0*sp0;
sp3=markxy[mm1]+0.5*(-markxx[mm1]-markxx[mm1])*2.0*sp0;
markxx[mm1]=sp1;
markxy[mm1]=sp3;
}
/* Out of grid marker reset */
if(markx[mm1]<0 || marky[mm1]<0 || (markx[mm1])>xsize || (marky[mm1])>ysize)
{
markk[mm1]=0;
markd[mm1]=-1.0;
markw[mm1]=-1.0;
marke[mm1]=0;
}
}
/* Immobile markers */
else
{
/* X,Y calc after Runge-Kutta */
// Which velocity is used here, if were before located outside of grid ...
markx[mm1]+=(timestep*vx0);
marky[mm1]+=(timestep*vy0);
/* Check new position, add marker at end (marknum1) */
// Immobile markers that now enter grid
if(markx[mm1]>=0 && marky[mm1]>=0 && markx[mm1]<=xsize && marky[mm1]<=ysize)
{
#pragma omp critical(newmark)
{
#pragma omp flush(marknum1)
/* Type save */
markt[marknum1]=markt[mm1]-100;
/* X,Y calc after Runge-Kutta */
// Give marker new location (within grid)
markx[marknum1]=markx[mm1];
marky[marknum1]=marky[mm1];
/* Temperature Reset */
markk[marknum1]=0;
markd[marknum1]=-1.0;
markv[marknum1]=0;
/* Strain Reset */
marke[marknum1]=0;
/* Stress Reset */
markxx[marknum1]=0;
markxy[marknum1]=0;
/* Pressure Reset */
markp[marknum1]=0;
/* Strain rate Reset */
markexx[marknum1]=0;
markexy[marknum1]=0;
/* Add aditional markers counter */
marknum1++;
/* X,Y reset for immobile marker */
markx[mm1]=markk[mm1];
marky[mm1]=markv[mm1];
// If new marker is interesting for picking algorithm, flag to follow
// Note is hard-coded in i2.c as well. Only here excluded fluid markers, since immobile can not become fluid
#if setup>9
if (start_cond==1 && marky[marknum1]<85e3 && markx[marknum1]>gx[m10_hr] && markx[marknum1]<gx[m11_hr] && markt[marknum1]>1 && markt[marknum1]<50)
{
follow[marknum1]=1;
// #pragma omp flush(nm)
nm++;
}
#endif
}
}
/* Check,Reset old position */
// Use markk and v as dummy from above, so dx and/or dy are 0 if marker is newly added
dx=markx[mm1]-markk[mm1];
dy=marky[mm1]-markv[mm1];
dy=pow(dx*dx+dy*dy,0.5);
/*
if(dy>ystpy || (marky[mm1]<0 && vy0<0) || (marky[mm1]>ysize && vy0>0) || (markx[mm1]<0 && vx0<0) || (markx[mm1]>xsize && vx0>0))
*/
// If moved by more than one cell, reset to old position ?
if(dy>ystpy)
{
/* X,Y reset for immobile marker */
markx[mm1]=markk[mm1];
marky[mm1]=markv[mm1];
}
}
/* End Motion Calc ///////////////////////////////// */
}
}
// End omp-section move markers
/* Mark num */
if(marknum1>MAXMRK) {fprintf(fp_log,"Space out in markx[]"); fflush(fp_log); exit(0);}
/* Reset aditional markers */
mm1=0;
while(marknum1>marknum && mm1<marknum)
{
/* Reload marker */
if((markx[mm1]<0 || marky[mm1]<0 || (markx[mm1])>xsize || (marky[mm1])>ysize) && markt[mm1]<100)
{
/* Decrease aditional markers counter */
marknum1--;
/* Type save */
markt[mm1]=markt[marknum1];
/* Temperature Reset */
markk[mm1]=0;
markd[mm1]=-1.0;
/* Strain Reset */
marke[mm1]=0;
/* Stress Reset */
markxx[mm1]=0;
markxy[mm1]=0;
/* Pressure Reset */
markp[mm1]=0;
/* Strain rate Reset */
markexx[mm1]=0;
markexy[mm1]=0;
/* X,Y reload */
markx[mm1]=markx[marknum1];
marky[mm1]=marky[marknum1];
}
/* Increase markers counter */
mm1++;
}
fprintf(fp_log,"\n Number of markers: OLD = %ld NEW = %ld \n",marknum,marknum1);fflush(fp_log);
/* Set new marker number */
marknum=marknum1;
/* Incr cycle of sedimentation */
sedimnum++;
}
/* End OMP move markers by using Simple/Runge-Kutta method */
/* ro[],nu[] recalc after marker positions */
void ronurecalcomp()
{
/* Counters */
long int m1,m2,m3,m10,m20;
int mm2,yn,mm3,n1,n2,ncount=0,nt,tid;
long int mm1;
double dx,dy,swt,swt1,celdx,celdy;
double wro,mnu,mgg,maa,mdro,msxxe,msxye,mexxe,mexye,mro,mcp,mkt,mht,mbb,mdi0,mdi1,mwa,dmwa,mxmelt,mhlatent;
double Mgg,Mro,Mwa,Mcp,Mbb,Maa,Mdhh,Mkt;
// Here in this loop epsin is 2nd invariant of visco-plastic strainrate
double sigin,epsin;
/* TD Database variables, dTK,dPB - TK, PB step for tabulation in TD database */
double H0,H1,H2,H3,R0,R1,R2,R3,G0,G1,G2,G3,W0,W1,W2,W3,dTK=20.0,dPB=1000.0,n,e;
/* Phase transition variables */
double p_pl_out,p_ga_in,rokf,p_sp_in,p_ol_out,p_pv_in,p_sp_out,p_st_in;
/* RO, NU equations var */
double mpb=1.0,mtk=300.0,numax=0,numin=0;
double start,xwall,b1,b2,slope_wall,gelbeg;
start=omp_get_wtime();
Mgg=Mro=Mwa=Mcp=Mbb=Maa=Mdhh=Mkt=0;
if (printmod) fprintf(fp_log,"\n Number of nodes = %ld Number of markers = %ld \n",nodenum,marknum);
fflush(fp_log);
#pragma omp parallel
{nt=omp_get_num_threads();}
/* Layering on sediments */
m1=(long int)(sedimnum/sedimcyc);
m2=((long int)(m1/2))*2;
if(m2==m1) yn=3; else yn=4;
/* ADD MARKERS TO THE v-CELLS ========================== */
/* Clear ro[],nu[] wt */
for (m1=0;m1<nodenum;m1++)
{
ro0[m1]=0;
et0[m1]=0;
nu0[m1]=0;
nd0[m1]=0;
gg0[m1]=0;
gd0[m1]=0;
sxxe0[m1]=0;
sppe0[m1]=0;
sbritn0[m1]=0; // yield stress
sxye0[m1]=0;
exxe0[m1]=0;
exye0[m1]=0;
dro0[m1]=0;
drp0[m1]=0;
cp0[m1]=0;
kt0[m1]=0;
ht0[m1]=0;
tk0[m1]=0;
mrx0[m1]=0;
mry0[m1]=0;
mvx0[m1]=0;
mvy0[m1]=0;
sol0[m1]=0;
sol0[nodenum+m1]=0;
sol0[nodenum2+m1]=0;
sol1[m1]=0;
sol1[nodenum+m1]=0;
sol1[nodenum2+m1]=0;
}
#if setup>9
/* (1) Erosion-sedimentation and melting account for all markers */
#pragma omp parallel for shared(markx,marky,markk,markt,marke,markd,marknum,waterlev,erosmod,deserp,dyserp,xsize,ysize,gx,gy,xnumx,ynumy,ep,pr,timesum,res_high) \
private(mm1,mm2,m3,mtk,mpb,m10,m20,mxmelt,mhlatent) \
firstprivate(yn) \
schedule(runtime)
for (mm1=0;mm1<marknum;mm1++)
{
/* Check markers out of grid */
if(markx[mm1]>0 && marky[mm1]>0 && (markx[mm1])<xsize && (marky[mm1])<ysize && markk[mm1]>0 && markt[mm1]<50)
{
/* Up Left Node X,Y Num */
m10=m1serch(markx[mm1]);
m20=m2serch(marky[mm1]);
m3=m10*ynumy+m20;
mm2=(int)markt[mm1];
/* Erosion/sedimentation account */
if(erosmod) erosmarkomp(mm1,yn,m10,markx[mm1],marky[mm1],markt,marke,markd);
/* Water/Air account */
if(markt[mm1]<2)
{
/* Change marker type */
if((marky[mm1])>waterlev) markt[mm1]=1; else markt[mm1]=0;
}
/* P, T parameters calc */
// 1e-5 since convert to bars for melting look-up?
mpb=1e-5*allinterpomp(markx[mm1],marky[mm1],m10,m20);
mtk=markk[mm1];
// Remove initial weak zone for subduction initiation after X My
if(timesum>(48.6e6*3.15576e+7) && markt[mm1]==12)
{markt[mm1]=9;}
/* Serpentinization of brittle mantle faults at sub-surface */
if((markt[mm1]==9 || markt[mm1]==9 || markt[mm1]==9) && marke[mm1]>deserp && marky[mm1]<dyserp)
{
/* Mantle to Antigorite transformation */
markt[mm1]=13;
markd[mm1]=-1.0;
}
/* Mantle to Antigorite transformation */
antigoromp(mtk,mpb,markx[mm1],marky[mm1],mm1,m10,markt);
/* Rocks to rock+melt transformation */
// Note markt passes in address of first element of array to function and allows for modification there
if (meltmod) meltingomp(mtk,mpb,mm1,mm2,markt,marke,&mxmelt,&mhlatent);
}
}
// End OMP section erosion-sedimentation
// Open file for storing marker interface data
if (n0==1)
{
flfric = fopen(fileTxtOutputFric,"w");
fprintf(flfric," rocktype markx marky markpressure sbrit markxx markxy \n");
}
#endif
if (printmod==10000) fprintf(fp_log,"\n Time taken for erosmark/antigor/melting in ronurecalc = %e s \n",omp_get_wtime()-start);
start=omp_get_wtime();
/* (2) Add ro[] nu[] etc. using selected markers */
#pragma omp parallel shared(marknum,gridmod,markx,marky,markk,markt,erosmod,sedilev,markw,markd,eroslev, \
waterlev,zdeep,densimod,markht,marke,markexx,markexy,markxx,markxy,markp, \
nodenum,nodenum2,markvx,markvy,markv,markwa,markim,xsize,ysize,gx,gy,xnumx,ynumy,ep,pr,vx,vy,markf0,markf1,markbb,markaa,markro,markgg, \
markn0,markn1,marks0,marks1,marknu,markcp,markkt,markkf,markkp,nubeg,nuend,strmin,strmax,\
exy,esp,exx,pbmin,pbstp,pbnum,tkmin,tkstp,tknum,pbmin1,pbstp1,pbnum1,tkmin1,tkstp1,tknum1,timesum,td, \
zmpor,tkpor,markll,hidrl,hidry,lambfld,marka0,markb0,marke1,marka1,markb1,marke0,msbrit,msii_old, \
tk_updipsez0,tk_updipsez1,mgamma_vw,mgamma_vs,mvc_vs,mvc_vw,mus_vs,markdh,markdv,markss,markmm,timestepe,cyc0max,start_cond,veldepfric,stoksmod,res_high) \
private(mm1,mm2,tid,m10,m20,m1,m3,mpb,mtk,mro,mbb,maa,mcp,mkt,mht,mnu,mgg,mxmelt,mhlatent,mwa,wro,dmwa,mdi0,mdi1,mdro, \
celdx,celdy,swt,swt1,dx,dy,msxxe,msxye,mexxe,mexye,sigin,epsin,Mgg,Mro,Mwa,Mcp,Mbb,Maa,Mdhh,Mkt,p_pl_out,p_ga_in,rokf,p_sp_in,p_ol_out,p_pv_in,p_sp_out,p_st_in) \
firstprivate(yn)
{
// Initialize temporarily interpolation arrays (capitilized) to zero (inside pragma, so is private)
double* Nu0 = (double*) calloc(nodenum,sizeof(double));
double* Nd0 = (double*) calloc(nodenum,sizeof(double));
double* Gg0 = (double*) calloc(nodenum,sizeof(double));
double* Gd0 = (double*) calloc(nodenum,sizeof(double));
double* Ro0 = (double*) calloc(nodenum,sizeof(double));
double* Sxxe0 = (double*) calloc(nodenum,sizeof(double));
double* Sppe0 = (double*) calloc(nodenum,sizeof(double));
double* Sbritn0 = (double*) calloc(nodenum,sizeof(double));
double* Sxye0 = (double*) calloc(nodenum,sizeof(double));
double* Exxe0 = (double*) calloc(nodenum,sizeof(double));
double* Exye0 = (double*) calloc(nodenum,sizeof(double));
double* Et0 = (double*) calloc(nodenum,sizeof(double));
double* Dro0 = (double*) calloc(nodenum,sizeof(double));
double* Drp0 = (double*) calloc(nodenum,sizeof(double));
double* Cp0 = (double*) calloc(nodenum,sizeof(double));
double* Kt0 = (double*) calloc(nodenum,sizeof(double));
double* Ht0 = (double*) calloc(nodenum,sizeof(double));
double* Tk = (double*) calloc(nodenum,sizeof(double));
double* Mrx0 = (double*) calloc(nodenum,sizeof(double));
double* Mry0 = (double*) calloc(nodenum,sizeof(double));
double* Mvx0 = (double*) calloc(nodenum,sizeof(double));
double* Mvy0 = (double*) calloc(nodenum,sizeof(double));
double* Sol0 = (double*) calloc(nodenum*3,sizeof(double));
double* Sol1 = (double*) calloc(nodenum*3,sizeof(double));
#pragma omp for \
schedule(runtime)
for (mm1=0;mm1<marknum;mm1+=gridmod)
{
/* Check markers out of grid */
if(markx[mm1]>0 && marky[mm1]>0 && (markx[mm1])<xsize && (marky[mm1])<ysize && markk[mm1]>0 && markt[mm1]<50)
{
tid=omp_get_thread_num();
m10=m1serch(markx[mm1]);
m20=m2serch(marky[mm1]);
/* Marker type */
mm2=(int)markt[mm1]; if (mm2>=100) mm2-=100;
#if setup>9
/* 1a. --- Remove water, rocks --- */
if(erosmod==0)
{
if(marky[mm1]>sedilev && mm2<2)
{
mm2=yn; markt[mm1]=yn;
markw[mm1]=0;
markd[mm1]=-1.0;
}
if(marky[mm1]<eroslev && mm2>1)
{
if((marky[mm1])>waterlev) markt[mm1]=1; else markt[mm1]=0;
mm2=markt[mm1];
markw[mm1]=0;
markd[mm1]=-1.0;
}
}
/* 1b. Remove Plumes */
if(marky[mm1]>zdeep && mm2!=10)
{
mm2=10; markt[mm1]=10;
markw[mm1]=0;
markd[mm1]=-1.0;
}
#endif
/* P, T parameters calc */
mpb=1e-5*allinterpomp(markx[mm1],marky[mm1],m10,m20);
mtk=(markk[mm1]);
/* Reset water/air temperature */
// if (mm2<2) mtk=markk[mm1]=273.0;
/* 2.-3. --- Calculate density --- */
// & just points to address of normally defined variables at start of this routine; more efficient for passing! this way variable here can be changed inside subroutine
#if setup>9
dencalcomp(mtk,mpb,markx[mm1],marky[mm1],mm2,&mro,&mbb,&maa);
mcp=markcp[mm2];
mkt=(markkt[mm2]+markkf[mm2]/(mtk+77.0))*exp(markkp[mm2]*mpb);
/* ========================= */
/* Mantle phase transitions */
/* ========================= */
if (densimod==1)
{
/*
if(mm2>=9 && mm2<=14 && markex[mm1]>0) mro*=1.0-0.04*markex[mm1];
*/
/* Eclogitization, St, Pv transitions in oceanic crust */
if(mm2==7 || mm2==8 )
{
/* Eclogitization Ito and Kennedy, 1971 */
/*basalt=>garnet granulite (Ga-In) transition*/
p_ga_in=-9222.0+mtk*14.0;
/*Not to have granulites at pressure lower than 2 kbar*/
if(p_ga_in<2000.0) p_ga_in=2000.0;
/*garnet granulite=>eclogite (Pl-Out) transition*/
p_pl_out=-1460.0+mtk*20.0;
/*Not to have eclogites at pressure lower than 12 kbar*/
if(p_pl_out<12000.0) p_pl_out=12000.0;
if(mpb>p_ga_in)
{
rokf=0;
if(mtk>teclmin)
{
if(mtk>teclmax)
{
rokf=0.16;
}
else
{
rokf=0.16*(mtk-teclmin)/(teclmax-teclmin);
}
}
if(mpb>=p_pl_out)
{
mro*=1.0+rokf;
}
else
{
mro*=(1.0+rokf*(mpb-p_ga_in)/(p_pl_out-p_ga_in));
}
}
/* Coe->St transition Gerya et al., 2004, PCM */
p_st_in=59100.0+mtk*22.6;
if(mpb>p_st_in) mro*=1.06;
/* Pv transition, Mishin et al., 2008 with slope from Ito et al., 1990 */
/* Sp-out transition*/
p_sp_out=354000.0-mtk*40.0;
/* Pv-in transition*/
p_pv_in=352000.0-mtk*40.0;
if(mpb>p_pv_in)
{
rokf=0.08;
if(mpb>=p_sp_out)
{
mro*=1.0+rokf;
}
else
{
mro*=(1.0+rokf*(mpb-p_pv_in)/(p_sp_out-p_pv_in));
}
}
}
/* Ol-Sp and Pv transitions in the mantle */
if(mm2>=9 && mm2<=14)
{
/* Ol-Sp transition, Katsura & Ito, 1989 */
/* Ol-out transition*/
p_ol_out=91000.0+mtk*27.0;
/* Sp-in transition*/
p_sp_in=66000.0+mtk*39.0;
/*Limit width of Sp-Ol transition to 2 kbar */
if(p_sp_in>p_ol_out-2000.0) p_sp_in=p_ol_out-2000.0;
if(mpb>p_sp_in)
{
rokf=0.06;
if(mpb>=p_ol_out)
{
mro*=1.0+rokf;
}
else
{
mro*=(1.0+rokf*(mpb-p_sp_in)/(p_ol_out-p_sp_in));
}
}
/* Pv transition, Ito et al., 1990 */
/* Sp-out transition*/
p_sp_out=304000.0-mtk*40.0;
/* Pv-in transition*/
p_pv_in=302000.0-mtk*40.0;
if(mpb>p_pv_in)
{
rokf=0.11;
if(mpb>=p_sp_out)
{
mro*=1.0+rokf;
}
else
{
mro*=(1.0+rokf*(mpb-p_pv_in)/(p_sp_out-p_pv_in));
}
}
}
}
/* ========================== end */
/* Test Heat conductivity k=ko/(1+b*(T-To)/To) */
if (markkt[mm2]<0) mkt=-markkt[mm2]/(1.0+markkf[mm2]*(mtk-markkp[mm2])/markkp[mm2]);
mht=markht[mm2];
/* 4. Molten rocks */
// Note: Calls viscalc only for melted rocks here !
if (mm2>20) { meltpartomp(mtk,mpb,markx[mm1],marky[mm1],mm1,mm2,&mro,&mbb,&maa,&mnu,&mcp,&mkt,&mgg,&mxmelt,&mhlatent); }
/* ~X Thermodynamic database use for water */
// ATAT QUESTION TARAS: I would suggest to remove this if-statement, since it is harldy use. Do you agree? To avoid what was it included?
/* Density && Water wt% save */
// Hardly used; something that is larger than air or water in rock type number, but has negative density, at very start of model..
if ( densimod==3 && mm2>1 && (timesum<=1e+11 || markd[mm1]<=0) )
{
// tdbasecalc(mtk,mpb,mm2,mm1);
// markw[mm1]=eps[42];
// markd[mm1]=mro;
// ATATOMP QUESTION TARAS: the above form of mro means that it comes from dencalcomp or meltpartomp, and not from tdbasecalc above that stored is as eps.. ; what you wanted ?
// Use capital letters since Taras does not always assign eps value into this loop for m.. (eg mkt in next densimod2 call few lines below)
// ATATOMP QUESTION TARAS: Is this intentionally? With what purpose ? eg for mkt in next densimod2 call few lines below
tdbasecalcomp(markx[mm1],marky[mm1],mtk,mpb,mm2,mm1,m10,&Mgg,&Mro,&Mwa,&Mcp,&Mbb,&Maa,&Mdhh,&Mkt);
markw[mm1]=Mwa;
markd[mm1]=mro;
}
#elif setup<10
// In lab have constant density per rocktype and no thermal evolution, so much faster
mro=markro[mm2];
#endif
/* ---> (3) Marker rheology: calculate viscosity and stresses <--- */
mdi0=0;
mdi1=1.0;
#if setup>9
if(mm2<=20)
#endif
{
// yn = 1 now means that plasticity IS executed in this routine call to viscalc! This is the only successfull call within current code for normal, non-melting rocks !
viscalcomp(mtk,mpb,markx[mm1],marky[mm1],markv[mm1],markwa[mm1],markk[mm1],markp[mm1],markt[mm1],markexx[mm1],markexy[mm1],markxx,markxy,marke,mm1,mm2,1,m10,&mnu,&mdi0);
/* XXX Density correction for the dilation angle XXX = not executed */
if(markf0[mm2]>0 && markf1[mm2]>0 && marke[mm1]>0)
{
/* Second invariant of viscoplastic strain calc, check */
sigin=pow(markxx[mm1]*markxx[mm1]+markxy[mm1]*markxy[mm1],0.5);
epsin=marke[mm1]-sigin/2.0/markgg[mm2];
if(epsin>markf1[mm2]) epsin=markf1[mm2];
if(epsin>0) mdi1=exp(-2.0*epsin*markf0[mm2]);
}
}
msxxe=markxx[mm1];
msxye=markxy[mm1];
mexxe=markexx[mm1];
mexye=markexy[mm1];
mgg=markgg[mm2];
/* Min,Max NU limitation */
if(mnu<nubeg) mnu=nubeg; if(mnu>nuend) mnu=nuend;
/* Water/Air account */
#if setup>9
if(mm2<2)
{
markd[mm1]=mro;
mdi0=0;
mdi1=1.0;
}
#endif
/* End Water/Air account */
/* Calc log density derivative, save new density */
if(markd[mm1]<=0 || densimod==0)
{markd[mm1]=mro; mdi0=0;}
mdro=0;
maa=0;
mdi1=1.0;
#if setup>9
if(timestepe)
{
mdro=mro/markd[mm1];
mdro=log(mdro)-mdi0;
//if(epsin>0 && debugmod) {fprintf(fp_log,"d %ld %d %e %e %e %e %e %e %e %e %e %e",mm1,mm2,markx[mm1],marky[mm1],marke[mm1]*2.0*markgg[mm2],sigin,marke[mm1],epsin,-2.0*epsin*markf0[mm2],markd[mm1],mro,mdro);getchar();}
}
#endif
/* Save new density */
mdro=-mdi0;
markd[mm1]=mro;
/* Correct new density for dilation */
mro*=mdi1;
/* Saving marker viscosity */
markv[mm1]=mnu;
// if(debugmod) {fprintf(fp_log,"num=%ld type=%d x=%e y=%e mpb=%e mtk=%e nu=%e ro=%e cp=%e kt=%e ht=%e",mm1,mm2,markx[mm1],marky[mm1],mpb,mtk,mnu,mro,mcp,mkt,mht);getchar()};
/* --> (4) Interpolation from markers to 4 corners of the cell ====================================*/
/* Marker weight calculation using dimension of current Cell */
celdx=gx[m10+1]-gx[m10];
celdy=gy[m20+1]-gy[m20];
swt1=1.0/celdx/celdy;
/* Marker weights calculation using dimension of current Cell */
celdx=(markx[mm1]-gx[m10])/(gx[m10+1]-gx[m10]);
celdy=(marky[mm1]-gy[m20])/(gy[m20+1]-gy[m20]);
if (celdx<0 || celdy<0 || celdx>1.0 ||celdy>1.0) {fprintf(fp_log," WARNING !!! num=%ld type=%d x=%e y=%e celdx=%e celdy=%e",mm1,mm2,markx[mm1],marky[mm1],celdx,celdy); fflush(fp_log); getchar();}
/* --- Interpolate ro,nu etc to nodes using interpolation coefficients --- */
for (m1=0;m1<4;m1++)
{
/* Marker weight calculation using dimension of current Cell */
/* Different corners */
/* 0 2 */
/* 1 3 */
switch(m1)
{
case 0:
/* Calc node number */
m3=m10*ynumy+m20;
/* Add shear viscosity Nu */
if (celdx<0.5 && celdy<0.5)
{
dx=1.0-2.0*celdx;
dy=1.0-2.0*celdy;
swt=swt1*dx*dy;
Nu0[m3]+=mnu*swt;
Gg0[m3]+=mnu/mgg*swt;
Sxye0[m3]+=msxye*swt;
Exye0[m3]+=mexye*swt;
Sol0[nodenum+m3]+=swt;
}
/* Add Vx and Mx from markers */
if (celdx<0.5)
{
dx=1.0-celdx;
dy=1.0-ABSV(celdy-0.5);
swt=swt1*dx*dy;
Mvx0[m3]+=markvx[mm1]*mro*swt;
Mrx0[m3]+=mro*swt;
Sol0[nodenum2+m3]+=swt;
}
/* Add Vy and My from markers */
if (celdy<0.5)
{
dx=1.0-ABSV(celdx-0.5);
dy=1.0-celdy;
swt=swt1*dx*dy;
Mvy0[m3]+=markvy[mm1]*mro*swt;
Mry0[m3]+=mro*swt;
Sol1[nodenum2+m3]+=swt;
}
// Calculate standard weight for physical properties
swt=swt1*(1.0-celdx)*(1.0-celdy);
break;
case 1:
/* Calc node number */
m3=m10*ynumy+m20+1;
/* Add shear viscosity Nu */
if (celdx<0.5 && celdy>0.5)
{
dx=1.0-2.0*celdx;
dy=2.0*celdy-1.0;
swt=swt1*dx*dy;
Nu0[m3]+=mnu*swt;
Gg0[m3]+=mnu/mgg*swt;
Sxye0[m3]+=msxye*swt;
Exye0[m3]+=mexye*swt;
Sol0[nodenum+m3]+=swt;
}
/* Add Vy and My from markers */
if (celdy>0.5)
{
dx=1.0-ABSV(celdx-0.5);
dy=celdy;
swt=swt1*dx*dy;
Mvy0[m3]+=markvy[mm1]*mro*swt;
Mry0[m3]+=mro*swt;
Sol1[nodenum2+m3]+=swt;
}
// Calculate standard weight for physical properties
swt=swt1*(1.0-celdx)*celdy;
break;
case 2:
/* Calc node number */
m3=(m10+1)*ynumy+m20;
/* Add shear viscosity Nu, Sxy */
if (celdx>0.5 && celdy<0.5)
{
dx=2.0*celdx-1.0;
dy=1.0-2.0*celdy;
swt=swt1*dx*dy;
Nu0[m3]+=mnu*swt;
Gg0[m3]+=mnu/mgg*swt;
Sxye0[m3]+=msxye*swt;
Exye0[m3]+=mexye*swt;
Sol0[nodenum+m3]+=swt;
}
/* Add Vx and Mx from markers */
if (celdx>0.5)
{
dx=celdx;
dy=1.0-ABSV(celdy-0.5);
swt=swt1*dx*dy;
Mvx0[m3]+=markvx[mm1]*mro*swt;
Mrx0[m3]+=mro*swt;
Sol0[nodenum2+m3]+=swt;
}
// Calculate standard weight for physical properties
swt=swt1*celdx*(1.0-celdy);
break;
case 3:
/* Calc node number */
m3=(m10+1)*ynumy+m20+1;
/* Add shear viscosity Nu */
if (celdx>0.5 && celdy>0.5)
{
dx=2.0*celdx-1.0;
dy=2.0*celdy-1.0;
swt=swt1*dx*dy;
Nu0[m3]+=mnu*swt;
Gg0[m3]+=mnu/mgg*swt;
Sxye0[m3]+=msxye*swt;
Exye0[m3]+=mexye*swt;
Sol0[nodenum+m3]+=swt;
}
// Add values to central node once
// Brackets determine the scope of the to here limited variables, but currently make no difference
{
dx=1.0-2.0*ABSV(celdx-0.5);
dy=1.0-2.0*ABSV(celdy-0.5);
swt=swt1*dx*dy;
Nd0[m3]+=mnu*swt;
Gd0[m3]+=mnu/mgg*swt;
Sxxe0[m3]+=msxxe*swt;
Sppe0[m3]+=markp[mm1]*swt;
Sbritn0[m3]+=msbrit[mm1]*swt; // Yield stress in the pressure node
Exxe0[m3]+=mexxe*swt;
Dro0[m3]+=mdro*swt;
Drp0[m3]+=maa*swt;
Sol1[nodenum+m3]+=swt;
}
// Calculate standard weight for physical properties
swt=swt1*celdx*celdy;
break;
}
// End switch of weight calculation
/* Add Physical Properties: ro,nu, etc. */
// fprintf(fp_log,"num=%ld type=%d x=%e y=%e cell=%ld dx=%e dy=%e swt=%e",mm1,mm2,markx[mm1],marky[mm1],m3,dx,dy,swt);getchar();
// nu0[m3]+=mnu*swt;
// ATAT TARAS Why use mcp*MRO? in routines calculate purely from markcp... not done in manuele's, later in heat mrocp, but unrelated
Ro0[m3]+=mro*swt;
Et0[m3]+=mbb*swt;
Cp0[m3]+=mcp*mro*swt;
Kt0[m3]+=mkt*swt;
Ht0[m3]+=mht*swt;
Sol0[m3]+=swt;
/* Add T */
if(!markim[mm2])
{
Tk[m3]+=mtk*swt;
Sol1[m3]+=swt;
}
}
/* End Interpolation from markers to nodes ====================================*/
}
}
// Add interpolation arrays from different processors and free their memory
#pragma omp critical (sumsolarrays)
{
for (m3=0;m3<nodenum;m3++)
{
nu0[m3]+=Nu0[m3];
nd0[m3]+=Nd0[m3];
gd0[m3]+=Gd0[m3];
gg0[m3]+=Gg0[m3];
ro0[m3]+=Ro0[m3];
cp0[m3]+=Cp0[m3];
kt0[m3]+=Kt0[m3];
ht0[m3]+=Ht0[m3];
dro0[m3]+=Dro0[m3];
drp0[m3]+=Drp0[m3];
sxxe0[m3]+=Sxxe0[m3];
sxye0[m3]+=Sxye0[m3];
sppe0[m3]+=Sppe0[m3];
sbritn0[m3]+=Sbritn0[m3];
exxe0[m3]+=Exxe0[m3];
exye0[m3]+=Exye0[m3];
et0[m3]+=Et0[m3];
tk0[m3]+=Tk[m3];
mrx0[m3]+=Mrx0[m3];
mry0[m3]+=Mry0[m3];
mvx0[m3]+=Mvx0[m3];
mvy0[m3]+=Mvy0[m3];
sol0[m3]+=Sol0[m3];
sol1[m3]+=Sol1[m3];
sol0[nodenum+m3]+=Sol0[nodenum+m3];
sol1[nodenum+m3]+=Sol1[nodenum+m3];
sol0[nodenum2+m3]+=Sol0[nodenum2+m3];
sol1[nodenum2+m3]+=Sol1[nodenum2+m3];
}
}
// Free dynamically allocated interpolation arrays
free(Nu0);
free(Nd0);
free(Gg0);
free(Gd0);
free(Ro0);
free(Sxxe0);
free(Sppe0);
free(Sbritn0);
free(Sxye0);
free(Exxe0);
free(Exye0);
free(Et0);
free(Dro0);
free(Drp0);
free(Cp0);
free(Kt0);
free(Ht0);
free(Tk);
free(Mrx0);
free(Mry0);
free(Mvx0);
free(Mvy0);
free(Sol0);
free(Sol1);
}
// End OMP section marker to node interpolation
#if setup>9
if (n0==1){fclose(flfric);}
#endif
if (printmod==10000) fprintf(fp_log,"\n Time taken for rho and vis calc + M->N1 in ronurecalc = %e s \n",omp_get_wtime()-start);
start=omp_get_wtime();
/* Recalculate ro[] nu[] */
for (m1=0;m1<xnumx;m1++)
{
for (m2=0;m2<ynumy;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
/* Shear viscosity recalc check */
if(sol0[nodenum+m3])
{
// Boundary Condition Viscosity (set in mu)
if(mu[m3] && (timesum<timebond || m1<=2 || m2<=2 || m1>=xnumx-4 || m2>=ynumy-3))
{
// BC value defined in init.t3c
if(mu[m3]>0)
{
nu0[m3]=mu[m3];
}
else
{
nu0[m3]/=sol0[nodenum+m3];
if(nu0[m3]>-mu[m3]) nu0[m3]=-mu[m3];
}
}
// Rest; solution
else
{
nu0[m3]/=sol0[nodenum+m3];
}
/* Min,Max NU limitation */
if(nu0[m3]<nubeg) nu0[m3]=nubeg; if(nu0[m3]>nuend) nu0[m3]=nuend;
/* Min,Max NU definition for nu contrast limit */
if(numin==0 || nu0[m3]<numin) numin=nu0[m3]; if(numax==0 || nu0[m3]>numax) numax=nu0[m3];
nu[m3]=nu0[m3];
/* Elastic shear stress Sxy recalc */
sxye[m3]=sxye0[m3]/sol0[nodenum+m3];
exye[m3]=exye0[m3]/sol0[nodenum+m3];
/* Shear shear modulus recalc */
gg[m3]=nu[m3]/(gg0[m3]/sol0[nodenum+m3]);
/* Reset weight */
sol0[nodenum+m3]=0;
}
/* Normal viscosity recalc check */
if(sol1[nodenum+m3])
{
if(mu[m3] && (timesum<timebond || m1<=2 || m2<=2 || m1>=xnumx-4 || m2>=ynumy-3))
{
if(mu[m3]>0)
{
nd0[m3]=mu[m3];
}
else
{
nd0[m3]/=sol1[nodenum+m3];
if(nd0[m3]>-mu[m3]) nd0[m3]=-mu[m3];
}
}
else
{
nd0[m3]/=sol1[nodenum+m3];
}
/* Min,Max NU limitation */
if(nd0[m3]<nubeg) nd0[m3]=nubeg; if(nd0[m3]>nuend) nd0[m3]=nuend;
/* Min,Max NU definition for nu contrast limit */
if(numin==0 || nd0[m3]<numin) numin=nd0[m3]; if(numax==0 || nd0[m3]>numax) numax=nd0[m3];
nd[m3]=nd0[m3];
/* Elastic Normal stress recalc */
sxxe[m3]=sxxe0[m3]/sol1[nodenum+m3];
sppe[m3]=sppe0[m3]/sol1[nodenum+m3];
sbritn[m3]=sbritn0[m3]/sol1[nodenum+m3];
exxe[m3]=exxe0[m3]/sol1[nodenum+m3];
/* Density changes recalc */
dro[m3]=dro0[m3]/sol1[nodenum+m3];
drp[m3]=drp0[m3]/sol1[nodenum+m3];
/* Normal shear modulus recalc */
gd[m3]=nd[m3]/(gd0[m3]/sol1[nodenum+m3]);
/* Reset weight */
sol1[nodenum+m3]=0;
}
/* Vx Mx recalc check */
if(sol0[nodenum2+m3])
{
/* Material constants recalc */
mvx[m3]=mvx0[m3]/mrx0[m3];
mrx[m3]=mrx0[m3]/sol0[nodenum2+m3];
sol0[nodenum2+m3]=0;
}
/* Vy My recalc check */
if(sol1[nodenum2+m3])
{
/* Material constants recalc */
mvy[m3]=mvy0[m3]/mry0[m3];
mry[m3]=mry0[m3]/sol1[nodenum2+m3];
sol1[nodenum2+m3]=0;
}
/* Other variables recalc check */
if(sol0[m3])
{
/* Material constants recalc */
ro[m3]=ro0[m3]/sol0[m3];
#if setup>9
if(gy[m2]<waterlev && ro[m3]<1000.1) ro[m3]=1.0;
if(gy[m2]>=waterlev && ro[m3]<1000.1) ro[m3]=1000.0;
#endif
et[m3]=et0[m3]/sol0[m3];
cp[m3]=(cp0[m3]/sol0[m3])/ro[m3];
kt[m3]=kt0[m3]/sol0[m3];
ht[m3]=ht0[m3]/sol0[m3];
/* Advective addition for T K in nodes recalc */
if (sol1[m3])
{
tk[m3]=tk0[m3]/sol1[m3];
sol1[m3]=0;
}
/* Reset weight */
sol0[m3]=0;
}
}
}
if (printmod) fprintf(fp_log,"Min, Max viscosity %e %e \n",numin,numax); fflush(fp_log);
/* Reset advective temperature */
for (m3=0;m3<nodenum;m3++) {tk3[m3]=0;}
/* Check Upper/Lower limits for nu[] after given contrast */
if(nucontr>1.0 && numin>0) numax=numin*nucontr;
if(nucontr<1.0 && numax>0) numin=numax*nucontr;
for (m3=0;m3<nodenum;m3++)
{
if(nu[m3]<numin) nu[m3]=numin; if(nu[m3]>numax) nu[m3]=numax;
if(nd[m3]<numin) nd[m3]=numin; if(nd[m3]>numax) nd[m3]=numax;
}
/* Water/air density */
#if setup>9
for (m1=0;m1<xnumx;m1++)
for (m2=0;m2<ynumy;m2++)
{
m3=m1*ynumy+m2;
if(gy[m2]<waterlev && ro[m3]<1000.1) ro[m3]=1.0;
if(gy[m2]>=waterlev && ro[m3]<1000.1) ro[m3]=1000.0;
}
#endif
/* ---> 5. Set Boundary conditions for T <---*/
if (printmod) fprintf(fp_log,"\n AVERAGE TEMPERATURE CORRECTION FOR BOUNDARY CONDITIONS ...\n"); fflush(fp_log);
tkrecalc();
if (printmod) fprintf(fp_log,"AVERAGE TEMPERATURE OK!\n"); fflush(fp_log);
/* Adiabate computing */
if(1==0 && timesum<3.15576e+7*1e+3)
{
/* Lower boundary TK - Node Cycle */
for (m1=0;m1<xnumx;m1++)
{
/* Cur Line Num in bondm[] */
m2=(m1+1)*ynumy-1;
m3=bondm[m2+nodenum3];
if(m3)
{bondv[m3][0]=tk[m2-1]*2.0-tk[m2-2];}
}
}
if (printmod==10000) fprintf(fp_log,"\n Time taken for M->N2 in ronurecalc = %e s \n",omp_get_wtime()-start);
/* END ADD MARKERS TO THE v-CELLS ========================== */
}
/* End ro[],nu[] recalc after marker positions - routine */
/* Calc density for given P,T */
void dencalcomp(double mtk, double mpb, double x, double y, int mm2, double *mro, double *mbb, double *maa)
/* mtk - T, K */
/* mpb - P, bar */
/* x,y - XY location of point for Vx,Vy calc */
/* mm2 - Rock number */
{
/* Ro=ro0*(1-bro*(TK-298.15))*(1+aro*(Pkbar-0.001)) */
*mro=markro[mm2]*(1.0-markbb[mm2]*(mtk-298.15))*(1.0+markaa[mm2]*(mpb-1.0)*1e-3);
/* Adiabatic term: al=bro/(1-bro*(Tk-298.15)) */
*mbb=markbb[mm2]/(1.0-markbb[mm2]*(mtk-298.15));
/* Compressibility: be=aro/(1+aro*(Pkbar-0.0001) */
*maa=1.e-8*markaa[mm2]/(1.0+markaa[mm2]*(mpb-1.0)*1e-3);
/* Constant density */
if (densimod==0) *mro=markro[mm2];
}
/* End OMP Calc density for given P,T */
/* OMP Antigorite weakening of mantle */
void antigoromp(double mtk, double mpb, double x, double y, long int mm1, long int m10, char markt[])
/* mtk - T, K */
/* mpb - P, bar */
/* x,y - XY location of point for Vx,Vy calc */
/* mm1 - mark number */
/* m10 - Up Left Node X,Y Num */
{
/* Val buffer */
double k1,sy1,e,hydry,yfiltr,hydryl,tsubd,vxs,vys;
/* Check marker type */
if(markt[mm1]!=11 && markt[mm1]!=13) return;
/* Relativ Normalized coord Calc */
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
/* Erosion surface; oceanic crust top */
sy1=(e*ep[m10+1]+(1.0-e)*ep[m10]);
/* Antigorite weakening of mantle above oceanic crust */
/* Atg stability field after Schmidt and Poli, 1998 */
if((y-sy1)>63000.0)
{
k1=1013.17699-0.060387633e-3*(y-sy1)-0.004289442e-6*(y-sy1)*(y-sy1);
}
else
{
k1=751.490422+6.00773668e-3*(y-sy1)-0.034690759e-6*(y-sy1)*(y-sy1);
}
/* Change marker Type */
/* Serpentinized (13) - to hydrated (11) */
if(k1<=mtk && markt[mm1]==13) markt[mm1]=11;
/* Hydrated(11) - to serpentinized (13) */
if(k1>mtk && markt[mm1]==11) markt[mm1]=13;
}
/* OMP End Antigorite weakening of mantle */
/* Nu calc after reological equation */
// Uses timestepe or computational visco-elastic timestep
/* P-T-stress dependent rheology without/with brittle/ductile transition */
/* Reological equations */
/* Stress>SScr */
/* Power law dislocation creep: SSii={NU0*EEii*exp[(E+PV)/RT]}^(1/n) */
/* Effective viscosity: NU=1/2*{NU0*exp[(E+PV)/RT]}^(1/n)*EEii^[(1-n)/n] */
/* Stress<SScr */
/* Newtonian diffusion creep: SSii=NU1*EEii*exp[(E+PV)/RT] */
/* Effective viscosity: NU=NU0/2*exp[(E+PV)/RT] */
/* NU1=NU0/SScr^(n-1) */
/* SScr - dislocation, diffusion transition stress */
/* SSii - second invariant of deviatoric stress tensor */
/* EEii - epsin - second invariant of strain rate tensor */
/* E - activation energy, J */
/* V - activation volume, J/bar */
/* R - gase constant 8.314 J/K */
/* Viscosity NU calc after reological equations */
/* NU=SSii/(2*EEii) */
/* Brittle - Ductile transition */
/* sbrit=MINV(0.85e+5*pb,60e+6+0.6e+5*pb)*lambda; (Schott & Schmeling, 1998) */
/* sbrit=MINV(0.667e+5*pb,51.2e+6+0.512e+5*pb)*lambda; (Brace & Kohlsstedt, 1980) */
void viscalcomp(double mtk, double mpb, double cmx, double cmy, double Markv, double Markwa, double Markk, double Markp, double Markt, double Markexx, double Markexy, double Markxx[], double Markxy[], double Marke[], long int mm1, int mm2, int yn, long int m10,double *mnu, double *mdi0)
/* mtk - T, K */
/* mpb - P, bar */
/* cmx,cmy - XY location of point for Vx,Vy calc */
/* mm1 - Marker number */
/* mm2 - rock type */
/* yn - plastic reset yes(1)/no(0) - switch from version 1 to 2 ! */
// bbrit_cor - slip velocity dependent correction for friction coefficient
{
/* Val buffer */
double xnu,nnu,e,n,rt=8.314*mtk,k1,e1,epsin,sigin,sduct,sbrit,nueff,strain,abrit,bbrit,nubrit,nunewt,nupowl,nuduct;
/* Reological Eq par */
double sy1,lamb,xelvis,sxxnew,sxynew,siginnew,mnu0,mnu1,mnu2,siginnew0,siginnew1,siginnew2,dsiginnew0,dsiginnew1,dsiginnew2;
/* Counters */
long int m1;
int ncount=0;
// Slip velocity dependent friction
double relvw=60,dvw,dvs;
/* Melted rocks */
// But incoming mm2 is already mm2_actual-20
#if setup>9
if (mm2>20) { *mnu = markn0[mm2]; return; }
#endif
/* Non-melted rocks, mm2 <= 20 */
/* Calc effective strain rate, stress after second strain rate Tenzor invariant EEii=(1/2SUM(EPSik^2))^(1/2) */
// Interpolation to these markers done at end of viterate() of previous timestep
epsin=pow(Markexx*Markexx+Markexy*Markexy,0.5);
sigin=pow(Markxx[mm1]*Markxx[mm1]+Markxy[mm1]*Markxy[mm1],0.5);
/* --- 1. Calculate components of brittle strength; cohesion, friction, and hydrostatic pore pressure weakening factor --- */
// - Lambda brittle weakening factor for hydrostatic pore pressure -
/* Up Left Node X,Y Num */
m1=m10;
/* Relative normalized coord calc */
e=(cmx-gx[m1])/(gx[m1+1]-gx[m1]);
n=(e*ep[m1+1]+(1.0-e)*ep[m1]);
// Pore fluid pressure correction: lamb = Pf/Ps
lamb=markll[mm2];
#if setup>9
// Predefine fluid pressures near surface
if ((cmy-n)<=0) lamb=hidrl;
if ((cmy-n)>0 && (cmy-n)<hidry) lamb=hidrl*(1.0-(cmy-n)/hidry)+lamb*(cmy-n)/hidry;
// Lower friction in fluid/melt present areas
if (Markwa==1) {lamb=lambfld;}
#endif
/* - Strain weakening - */
strain=Marke[mm1];
/* A,B coefficients calc depending on integral strain */
abrit=marka0[mm2];
bbrit=markb0[mm2];
if(strain>marke1[mm2])
{
abrit=marka1[mm2];
bbrit=markb1[mm2];
}
else
{
if(strain>marke0[mm2] && marke1[mm2]>marke0[mm2])
{
abrit=marka0[mm2]+(marka1[mm2]-marka0[mm2])*(strain-marke0[mm2])/(marke1[mm2]-marke0[mm2]);
bbrit=markb0[mm2]+(markb1[mm2]-markb0[mm2])*(strain-marke0[mm2])/(marke1[mm2]-marke0[mm2]);
}
}
/* --- End calculation of brittle strength components; cohesion, friction, and hydrostatic pore pressure weakening factor --- */
/* --- Start ductile viscosity calculation -------------------------------------------*/
/* Inverted value of newtonian NU set */
nunewt=0;
/* Inverted value of power-low NU set */
nupowl=0;
/* Check for the presence of ductile rheology */
// For more viscosity options, see codes of version 1
if (marknu[mm2])
{
/* A) Simple Newtonian rheology */
// - used in laboratory model of van Dinther et al., JGR, 2013a -
/* Newtonian creep: SSii=NU0*2.0*EEii */
/* Effective viscosity: NU=NU0 */
/* Effective viscosity member in Stoks: NUs=NU */
if(markdh[mm2]==0 && markdv[mm2]==0 && (markss[mm2]==0 || markmm[mm2]==1.0))
{
/* Inverted value of newtonian NU calc */
nunewt=1.0/marknu[mm2];
}
/* --> D) P-T-stress dependent rheology without/with brittle/ductile transition <--*/
// - used in large-scale models PhD thesis van Dinther -
/* Reological equations */
/* Stress>SScr */
/* Power law dislocation creep: SSii={NU0*EEii*exp[(E+PV)/RT]}^(1/n) */
/* Effective viscosity: NU=1/2*{NU0*exp[(E+PV)/RT]}^(1/n)*EEii^[(1-n)/n] */
/* Effective viscosity member in Stoks: NUs=NU/n */
/* Stress<SScr */
/* Newtonian diffusion creep: SSii=NU1*EEii*exp[(E+PV)/RT] */
/* Effective viscosity: NU=NU0/2*exp[(E+PV)/RT] */
/* Effective viscosity member in Stoks: NUs=NU */
/* NU1=NU0/SScr^(n-1) */
if(marknu[mm2]>0 && (markdh[mm2]!=0 || markdv[mm2]!=0) && markss[mm2]!=0 && markmm[mm2]!=1.0)
{
// ---> 2. Calculate ductile viscosity <---
/* T-P exponent for effective NU calc */
e1=(markdh[mm2]+markdv[mm2]*mpb)/rt;
if(e1>150.0) e1=150.0;
e1=exp(e1);
/* Koef for stress independent creep NU1 calc */
k1=marknu[mm2]/pow(markss[mm2],markmm[mm2]-1.0);
/* Inverted value of newtonian NU calc for diffusion creep */
nunewt=1.0/(0.5*k1*e1);
mnu2=nunewt;
/* Effective viscosity1 calc */
siginnew1=siginnew=sigin;
nupowl=0;
// Calculate dislocation creep viscosity
if (siginnew>0) nupowl=1.0/(0.5*siginnew*marknu[mm2]*e1/pow(siginnew,markmm[mm2]));
mnu1=nupowl;
//Take arithmetic average of dislocation and diffusionc creep for effective ductile viscosity
mnu0=1.0/(mnu1+mnu2);
// ---> 3. Include elastic part for estimation future viscoelastic stresses <---
// Calculate visco-elasticity factor
xelvis=markgg[mm2]*timestepe/(markgg[mm2]*timestepe+mnu0);
// Calculate viscoelastic stress
siginnew2=2.0*mnu0*epsin*xelvis+sigin*(1.0-xelvis);
dsiginnew1=siginnew2-siginnew1;
/* Effective viscosity2 calc */
// See above for description. Repeated here
siginnew=siginnew2;
nupowl=0;
if (siginnew>0) nupowl=1.0/(0.5*siginnew*marknu[mm2]*e1/pow(siginnew,markmm[mm2]));
mnu1=nupowl;
mnu0=1.0/(mnu1+mnu2);
// Calculate visco-elasticity factor
xelvis=markgg[mm2]*timestepe/(markgg[mm2]*timestepe+mnu0);
// Calculate viscoelastic stress
siginnew=2.0*mnu0*epsin*xelvis+sigin*(1.0-xelvis);
dsiginnew2=siginnew-siginnew2;
/* ---> 4. Local iterations for dislocation viscosity calculation by Bisection method <--- */
ncount=0;
// Locally iterate over nupowl and siginnew until siginnew-siginnew0<10 Pa (or 100 iterations)
do
{
// Check to prevent num issue when stress is not changing: only not true and in if sigma_2_1 = sigma_1_1 = sigma_0 : almost never no stress change?
dsiginnew0=ABSV(dsiginnew1)+ABSV(dsiginnew2);
if(dsiginnew0>0)
{
// Weigth factor: 0.5 = midpoint
dsiginnew0=0.5;
// Calculate midpoint = new estimate stress
siginnew0=siginnew=siginnew1*(1.0-dsiginnew0)+siginnew2*dsiginnew0;
// Update viscosity with that new stress
nupowl=0;
if (siginnew>0) nupowl=1.0/(0.5*siginnew*marknu[mm2]*e1/pow(siginnew,markmm[mm2]));
mnu1=nupowl;
mnu0=1.0/(mnu1+mnu2);
// Update stress estimate with new viscosity
xelvis=markgg[mm2]*timestepe/(markgg[mm2]*timestepe+mnu0);
siginnew=2.0*mnu0*epsin*xelvis+sigin*(1.0-xelvis);
// Calculate difference new and last stress estimate -> converging?
dsiginnew0=siginnew-siginnew0;
// Use this newest estimate for stress change to see if in same direction
// If yes; keep going in that direction; leave oldest estimate behind
if((dsiginnew0>=0 && dsiginnew1>=0) || (dsiginnew0<0 && dsiginnew1<0))
{
siginnew1=siginnew0;
dsiginnew1=dsiginnew0;
}
// If in opposite direction; passed optimal stress so turn back; leave newest 1 estimate behind
else
{
siginnew2=siginnew0;
dsiginnew2=dsiginnew0;
}
}
ncount++;
}
while(ABSV(dsiginnew0)>10.0 && ncount<101);
}
}
/* --- End Ductile viscosity calculation -------------------------------------------*/
// Check ductile effective viscosity calculation
nueff=1.0/(nunewt+nupowl);
/* Mantle viscosity */
#if setup > 9
if((Markt==9 || Markt==10) && timesum<3.15576e+7*1e+4 && nueff<1e+20) nueff=1e+20;
#endif
if(nueff<nubeg) nueff=nubeg; if(nueff>nuend) nueff=nuend;
if(nueff<markn0[mm2]) nueff=markn0[mm2]; if(nueff>markn1[mm2]) nueff=markn1[mm2];
nuduct=nueff;
*mdi0=0;
/* ------------------ Calculate viscoplastic viscosity ---------------------------- */
// Calculate brittle strength - sbrit -
// Plasticity switched off when both terms in the yield strength formulation are 0
if(((1-markll[mm2])*markb0[mm2] || abrit) && epsin)
{
// --- Strong slip velocity dependency of friction coefficient ---
// After Burridge and Knopoff (1967), Ampuero and Ben-Zion (2008), etc.
// Adapt friction parameters based on x-location (lab) or temperature (large-scale)
#if setup==10
if (mm2==7 && cmx>(700e3-shift_km) && cmx<(1150e3-shift_km) && cmy<100e3 && veldepfric==1)
#endif
#if setup==11 // Including off-megathrust rate weakening
if (cmx>(700e3-shift_km) && cmx<(1150e3-shift_km) && cmy<100e3 && veldepfric==1)
#endif
#if setup==12 // Collisional setup - L. Dal Zilio
if (cmx>(1700e3-shift_km) && cmx<(2150e3-shift_km) && cmy<100e3 && veldepfric==1)
#endif
#if setup < 10
if (mm2==5 && veldepfric==1)
#endif
{
// Calculate Relative amount of Velocity-Weakening vs Velocity-Strengthening
#if setup>9
// Velocity-strengthening region
if (Markk<=tk_updipsez0) // && mm2==7)
{ relvw = 0; }
// Transitions to seismogenic zone: updip
else if (Markk>tk_updipsez0 && Markk<tk_updipsez1) // && mm2==7)
{ relvw = (Markk-tk_updipsez0)/(tk_updipsez1-tk_updipsez0); }
// Velocity-weakening for Seismogenic Zone (and off-megathrust region)
else
{ relvw = 1;}
// Note for the off-events setup there is no strengthening outside the subduction channel of basaltic crust
#elif setup < 10
// Change mm2 locally in this viscalc-routine, so that also for viscosity, shear modulus, Pf/Ps etc use this
// Seismogenic Zone = velocity-weakening
if (cmx >= end_updip && cmx <= start_downdip)
{ relvw = 1; mm2 = 6; }
// Transitions to seismogenic zone: updip
else if (cmx >= start_updip && cmx <= end_updip)
{ relvw = (cmx-start_updip)/(2*half_range);}
// Transitions away from seismogenic zone: downdip
else if (cmx >= start_downdip && cmx <= end_downdip)
{ relvw = 1 - ( cmx-start_downdip )/( 2*half_range );}
// Velocity-strenghtening region
else
{ relvw = 0; }
#endif
// Calculate slip-rate dependent change of coefficients
mvslip[mm1] = 2.0*epsin*res_high;
dvw = (1-mgamma_vw)+mgamma_vw/(1.0+mvslip[mm1]/mvc_vw);
dvs = (1-mgamma_vs)+mgamma_vs/(1.0+mvslip[mm1]/mvc_vs);
// Change friction coefficient accordingly
bbrit = mus_vs*dvs + relvw*(markb0[mm2]*dvw-mus_vs*dvs);
// Change cohesion as a function of slip velocity, if desired (if marka0[5]=~marka0[6])
#if setup>9
abrit = marka0[mm2];
#elif setup < 10
abrit = marka0[5] + relvw*(marka0[6]-marka0[5]);
#endif
// Iterate locally to obtain stable estimate of slip-rate
sbrit=abrit+bbrit*(1-lamb)*Markp;
if(sbrit>0 && Markv>0)
{
for(ncount=0;ncount<5;ncount++)
{
if(sbrit>0)
{
// epsin = 0.5* sbrit/eta in viscous formulation
mvslip[mm1] = sbrit/Markv*res_high;
dvw = (1-mgamma_vw)+mgamma_vw/(1.0+mvslip[mm1]/mvc_vw);
dvs = (1-mgamma_vs)+mgamma_vs/(1.0+mvslip[mm1]/mvc_vs);
bbrit = mus_vs*dvs + relvw*(markb0[mm2]*dvw-mus_vs*dvs);
sbrit=abrit+bbrit*(1-lamb)*Markp;
}
else
{
fprintf(fp_log,"LOOK: Sbrit is <= 0 within v-w loop: %e, abrit = %e, bbrit = %e, pr = %e, markvis = %e, x = %e, y = %e \n",sbrit,abrit,bbrit,Markp,Markv,cmx,cmy); fflush(fp_log);
}
}
}
// Calculate average value stresses and strainrates seismogenic zone
// But here do not have proper stress and vel(e) yet ! Only yield strength ..
#if setup < 10
if (relvw==1 && cmy<=gy[n_glayer+1])
{
sbrit_ave = sbrit_ave + (abrit + bbrit*(1-lamb)*Markp);
count_sezm = count_sezm + 1;
}
#endif
}
// In case of no rate dependency also calculate yield strength
else
{
sbrit=abrit+bbrit*(1-lamb)*Markp;
}
// Check strength values
if(sbrit<0) sbrit=0;
if(sbrit>marks1[mm2]) sbrit=marks1[mm2];
// Save frictional properties to file for analyses
// Save time and space by only doing at last timestep in prn output cycle
#if setup > 9
if (n0==1 && start_cond==1 && relvw<=1.0)
{ fprintf(flfric," %d %e %e %e %e %e %e %e %e \n", mm2, cmx, cmy, Markp, sbrit, Markxx[mm1], Markxy[mm1],lamb,bbrit); }
#endif
// Store yield stress for post-processing and interpolation to nodes
msbrit[mm1] = sbrit;
// Store old-stress
msii_old[mm1] = sigin;
/* ---> 5. ! Viscoelastic case ! <--- */
if(stoksmod && timestepe && epsin)
{
/* Future plastic creep */
/* Future stresses calc */
xelvis=markgg[mm2]*timestepe/(markgg[mm2]*timestepe+nueff);
siginnew=2.0*nueff*epsin*xelvis+sigin*(1.0-xelvis);
// Plastic yielding if new estimate or stress of previous timestep exceeds strength
if(sbrit<siginnew || sbrit<sigin)
{
/* Executing plasticity by reseting stresses and viscosities */
// Note yn is defined at call to this viscalc routine
if(yn==1)
{
/* XXX Density correction for the dilation angle XXX */
// We do not use dilation ! Not for any rock type
if(markf0[mm2]>0 && markf1[mm2]>0)
{
/* Second invariant of viscoplastic strain calc, check */
e1=Marke[mm1]-sbrit/2.0/markgg[mm2];
/* Correction of divergence rate for plastic strain rate */
if(e1<markf1[mm2])
{
e1=epsin-sbrit/2.0/nuduct;
if(e1) *mdi0=2.0*e1*markf0[mm2]*timestepe;
}
}
/* ! Recompute stress ! So stress no longer exceed strength */
if(sigin && sbrit<sigin)
{
Markxx[mm1] *= sbrit/sigin;
Markxy[mm1] *= sbrit/sigin;
sigin=sbrit;
}
/* ! Recompute viscosity ! So decrease viscosity accordingly to localize deformation */
nubrit=sbrit/(2.0*epsin+(sigin-sbrit)/timestepe/markgg[mm2]);
if(nubrit<nueff) nueff=nubrit;
/* Set initial plastic strain */
if(Marke[mm1]<=0) Marke[mm1]=1e-20;
}
}
else
{
if(yn==1) Marke[mm1]=0;
}
}
}
/* ------------------ End calculation viscoplastic viscosity ---------------------------- */
/* Check calculated viscosity to be within hard code minimum and maximum */
if(nueff<nubeg) nueff=nubeg; if(nueff>nuend) nueff=nuend;
if(nueff<markn0[mm2]) nueff=markn0[mm2]; if(nueff>markn1[mm2]) nueff=markn1[mm2];
// Pass final viscosity back to main model
*mnu = nueff;
}
/* End OMP: Nu calc after reological equation */
/* Number of nearest left vertical line find */
long int m1serch(double cmx)
/* cmx - X coordinate */
{
/* Variables */
long int m1,m10=0,m11=xnumx-1;
/* Serch cycle */
do
{
m1=(m10+m11)/2;
if (gx[m1]>cmx) m11=m1; else m10=m1;
}
while((m11-m10)>1);
if(m10>xnumx-2) m10=xnumx-2;
return m10;
}
/* Number of nearest left vertical line find */
/* Number of nearest upper horizontal line find */
long int m2serch(double cmy)
/* cmy - Y coordinate */
{
/* Variables */
long int m2,m20=0,m21=ynumy-1;
/* Serch cycle */
do
{
m2=(m20+m21)/2;
if (gy[m2]>cmy) m21=m2; else m20=m2;
}
while((m21-m20)>1);
if(m20>ynumy-2) m20=ynumy-2;
return m20;
}
/* Number of nearest upper horizontal line find */
/* Erosion/Sedimentation Function for markers */
/* mardy - marker vertical size, m */
void erosmarkomp(long int mm1, int yn, long int m10, double x, double y, char markt[], double marke[], double markd[])
/* mm1 - marker number */
/* yn - current sedimnts type 2,3 */
/* m1 - Up Left Node X,Y Num */
{
/* Variables */
double e,e0;
/* Surface level elevation definition */
/* Relativ Normalized coord Calc */
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
/* Surface level elevation for marker definition */
e0=(e*ep[m10+1]+(1.0-e)*ep[m10]);
/* Marker surface elevation definition */
if(markt[mm1]<2)
{
/* Water/Air -> Sediments conversion */
if(y>e0) {markt[mm1]=yn; marke[mm1]=0; markd[mm1]=-1.0;}
}
if(markt[mm1]>1)
{
/* Rock->Water/Air conversion */
if(y<e0) {markt[mm1]=0; marke[mm1]=0; markd[mm1]=-1.0;}
}
}
/* OMP End Erosion/Sedimentation Function for markers */
/* OMP Rock to rock+melt transformation */
void meltingomp(double mtk, double mpb, long int mm1, int mm2, char Markt[], double Marke[], double *mxmelt, double *mhlatent)
/* mtk - T, K */
/* mpb - P, bar */
/* mm1 - mark number */
{
/* Melting related cahnge of the marker type */
/* Check marker type */
if (mm2==3 || mm2==4 || mm2==5 || mm2==6 || mm2==7 || mm2==8 || mm2==11 || mm2==16 || mm2==23 || mm2==24 || mm2==25 || mm2==26 || mm2==27 || mm2==28 || mm2==34 || mm2==36 || mm2==37 || mm2==38)
if (mpb<0) mpb=0;
switch(mm2)
{
/* Sediments, upper crust */
case 3:
case 4:
case 5:
case 17:
case 23:
case 24:
case 25:
case 26:
case 37:
/* Basalt, Gabbro */
case 7:
case 8:
case 16:
case 6:
case 18:
case 27:
case 28:
case 36:
case 38:
// mxmelt and mhlatent are already pointers to mem address, so you can enter them without &
meltpart1omp(mtk,mpb,mm2,mxmelt,mhlatent);
if(*mxmelt>0 && mm2<20) {Markt[mm1]+=20; Marke[mm1]=0;}
if(*mxmelt<=0 && mm2>20) {Markt[mm1]-=20; Marke[mm1]=0;}
return;
/* Hydrated Peridotite */
case 11:
case 34:
meltpart1omp(mtk,mpb,mm2,mxmelt,mhlatent);
if(*mxmelt>0 && mm2==11) {Markt[mm1]=34; Marke[mm1]=0;}
if(*mxmelt<=0 && mm2==34) {Markt[mm1]=14; Marke[mm1]=0;}
return;
/* Others */
default: return;
}
}
/* OMP End Rock to rock+melt transformation */
/* Melt fraction, density, viscosity, heat capacity calculation */
void meltpartomp(double mtk, double mpb, double x, double y, long int mm1, int mm2, double *mro,double *mbb, double *maa, double *mnu, double *mcp, double *mkt, double *mgg, double *mxmelt, double *mhlatent)
/* mtk - T, K */
/* mpb - P, bar */
/* x,y - XY location of point for Vx,Vy calc */
/* mm1 - mark number */
/* mm2 - mark type */
{
/* Val buffer */
double xmelt=0,ival,dmpb,dmtk,sduct,nueff,smin,smax,nmin,nmax,cpadd=0,vx0,vy0,pr0,sp0,ee0;
long int m1,m10,m20;
double Mnu,mdi0;
double p_pl_out,p_ga_in,rokf,p_sp_in,p_ol_out,p_pv_in,p_sp_out,p_st_in;
m10=m1serch(x);
/* Check marker type */
if (mm2==23 || mm2==24 || mm2==25 || mm2==26 || mm2==27 || mm2==28 || mm2==34 || mm2==36 || mm2==37 || mm2==38)
{
/* Calculate melt fraction */
// mxmelt and mhlatent are already pointers to mem address, so you can enter them without &
meltpart1omp(mtk,mpb,mm2,mxmelt,mhlatent);
xmelt = *mxmelt;
/* Standard adiabatic term: al=bro/(1+bro*(Tk-298.15)) */
*mbb=(markbb[mm2]*xmelt+markbb[mm2-20]*(1.0-xmelt))/(1.0-(markbb[mm2]*xmelt+markbb[mm2-20]*(1.0-xmelt))*(mtk-298.15));
*maa=(markaa[mm2]*xmelt+markaa[mm2-20]*(1.0-xmelt))/(1.0+(markaa[mm2]*xmelt+markaa[mm2-20]*(1.0-xmelt))*(mpb-1.0)*1e-3);
/* Density */
/* Ro=ro0 */
if (densimod==0)
{
*mro=markro[mm2]*xmelt+markro[mm2-20]*(1.0-xmelt);
}
/* Ro=ro0*(1-bro*(TK-298.15))*(1+aro*(Pkbar-0.001)) */
else
{
ival=1.0;
/* ========================= */
/* Mantle phase transitions */
/* ========================= */
/*
if(mm2>=29 && mm2<=34 && markex[mm1]>0) ival=1.0-0.04*markex[mm1];
*/
/* Eclogitization, St, Pv transitions in oceanic crust */
if(mm2>=27 && mm2<=28)
{
/* Eclogitization Ito and Kennedy, 1971 */
/*basalt=>garnet granulite (Ga-In) transition*/
p_ga_in=-9222.0+mtk*14.0;
/*Not to have granulites at pressure lower than 2 kbar*/
if(p_ga_in<2000.0) p_ga_in=2000.0;
/*garnet granulite=>eclogite (Pl-Out) transition*/
p_pl_out=-1460.0+mtk*20.0;
/*Not to have eclogites at pressure lower than 12 kbar*/
if(p_pl_out<12000.0) p_pl_out=12000.0;
if(mpb>p_ga_in)
{
rokf=0;
if(mtk>teclmin)
{
if(mtk>teclmax)
{
rokf=0.16;
}
else
{
rokf=0.16*(mtk-teclmin)/(teclmax-teclmin);
}
}
if(mpb>=p_pl_out)
{
ival=1.0+rokf;
}
else
{
ival=(1.0+rokf*(mpb-p_ga_in)/(p_pl_out-p_ga_in));
}
}
/* Coe->St transition Gerya et al., 2004, PCM */
p_st_in=59100.0+mtk*22.6;
if(mpb>p_st_in) ival*=1.06;
/* Pv transition, Mishin et al., 2008 with slope from Ito et al., 1990 */
/* Sp-out transition*/
p_sp_out=354000.0-mtk*40.0;
/* Pv-in transition*/
p_pv_in=352000.0-mtk*40.0;
if(mpb>p_pv_in)
{
rokf=0.08;
if(mpb>=p_sp_out)
{
ival*=1.0+rokf;
}
else
{
ival*=(1.0+rokf*(mpb-p_pv_in)/(p_sp_out-p_pv_in));
}
}
}
/* Ol-Sp and Pv transitions in the mantle */
if(mm2>=29 && mm2<=34)
{
/* Ol-Sp transition, Katsura & Ito, 1989 */
/* Ol-out transition*/
p_ol_out=91000.0+mtk*27.0;
/* Sp-in transition*/
p_sp_in=66000.0+mtk*39.0;
/*Limit width of Sp-Ol transition to 2 kbar */
if(p_sp_in>p_ol_out-2000.0) p_sp_in=p_ol_out-2000.0;
if(mpb>p_sp_in)
{
rokf=0.06;
if(mpb>=p_ol_out)
{
ival*=1.0+rokf;
}
else
{
ival*=(1.0+rokf*(mpb-p_sp_in)/(p_ol_out-p_sp_in));
}
}
/* Pv transition, Ito et al., 1990 */
/* Sp-out transition*/
p_sp_out=304000.0-mtk*40.0;
/* Pv-in transition*/
p_pv_in=302000.0-mtk*40.0;
if(mpb>p_pv_in)
{
rokf=0.11;
if(mpb>=p_sp_out)
{
ival*=1.0+rokf;
}
else
{
ival*=(1.0+rokf*(mpb-p_pv_in)/(p_sp_out-p_pv_in));
}
}
}
/* Density calculation with corrections */
*mro=xmelt*markro[mm2]*(1.0-markbb[mm2]*(mtk-298.15))*(1.0+markaa[mm2]*(mpb-1.0)*1e-3)+(1.0-xmelt)*ival*markro[mm2-20]*(1.0-markbb[mm2-20]*(mtk-298.15))*(1.0+markaa[mm2-20]*(mpb-1.0)*1e-3);
}
/**/
/* Viscosity */
/* Effective NU calc check */
/* Little melt */
// Assume similar to no melt, since go into viscalc..
if(xmelt<0.1)
{
// QUESTION TARAS - why plastic reset here? (i switched yn=1 to yes wrt old version, but before was set to 0 here)
// while mm2 going in is mm2-20 ? And mm2>20 returns immediately; ok that put here mm2-20 ?
viscalcomp(mtk,mpb,markx[mm1],marky[mm1],markv[mm1],markwa[mm1],markk[mm1],markp[mm1],markt[mm1],markexx[mm1],markexy[mm1],markxx,markxy,marke,mm1,mm2-20,1,m10,&Mnu,&mdi0);
*mnu=Mnu;
*mgg=markgg[mm2-20];
}
/* Significant melt */
// Allowed to drop viscosity below minimum for rock type (init.t3c), but not below minimum for whole model (mode.t3c)
else
{
/* Set viscosity and stress limits */
nmin=MAXV(markn0[mm2],nubeg);
nmax=MINV(markn1[mm2],nuend);
smin=MAXV(marks0[mm2],strmin);
smax=MINV(marks1[mm2],strmax);
/* Calc effective strain rate after second strain rate tensor invariant EEii=(1/2SUM(EPSik^2))^(1/2) */
m20=m2serch(y);
allinteriomp(x,y,m10,m20,&vx0,&vy0,&pr0,&sp0,&ee0);
// ee0=pow(eps[6]*eps[6]+eps[4]*eps[4],0.5); (was epsin)
/* Effective NU calc check */
nueff=marknu[mm2]*exp(2.5+pow((1.0-xmelt)/xmelt,0.48)*(1.0-xmelt));
if(nueff<nmin) nueff=nmin;
if(nueff>nmax) nueff=nmax;
/* Ductile stress calc check */
sduct=nueff*2.0*ee0;
if(sduct<smin && ee0) {nueff=0.5*smin/ee0; sduct=smin;}
if(sduct>smax) {nueff=0.5*smax/ee0; sduct=smax;}
*mnu=nueff;
/* Shear modulus */
*mgg=markgg[mm2];
}
/* Heat capacity */
*mcp=markcp[mm2]*xmelt+markcp[mm2-20]*(1.0-xmelt);
/* heat conductivity */
*mkt=((markkt[mm2]+markkf[mm2]/(mtk+77.0))*exp(markkp[mm2]*mpb))*xmelt+((markkt[mm2-20]+markkf[mm2-20]/(mtk+77.0))*exp(markkp[mm2-20]*mpb))*(1.0-xmelt);
/* Additional melting adiabatic term, heat capacity */
if(xmelt>0 && xmelt<1.0)
{
/* Melting adiabatic term: alm=-ro*(dHlat/dP)/T */
/* Numerical differentiation */
dmpb=mpb*0.001;
meltpart1omp(mtk,mpb-dmpb,mm2,mxmelt,mhlatent);
ival= *mhlatent;
meltpart1omp(mtk,mpb+dmpb,mm2,mxmelt,mhlatent);
ival-= *mhlatent;
ival *= *mro / (mtk*2.0*dmpb*1e+5);
*mbb+=ival;
/* Melting heat capacity term: cpm=dHlat/dT */
/* Numerical differentiation */
dmtk=1.0;
meltpart1omp(mtk+dmtk,mpb,mm2,mxmelt,mhlatent);
ival= *mhlatent;
meltpart1omp(mtk-dmtk,mpb,mm2,mxmelt,mhlatent);
ival-= *mhlatent;
ival/=2.0*dmtk;
*mcp+=ival;
}
}
else
{
*maa= *mbb= *mxmelt= *mhlatent= *mro= *mnu= *mcp= *mkt= 0;
}
}
/* End OMP Rock to rock+melt transformation */
/* Melt fraction, latent heat calculation */
void meltpart1omp(double mtk, double mpb, int mm2, double *mxmelt, double *mhlatent)
/* mtk - T, K */
/* mpb - P, bar */
/* x,y - XY location of point for Vx,Vy calc */
/* mm1 - mark number */
/* mm2 - mark type */
/* yn - type of calculation: 0 - Ro, 1 - Nu, 2 - Cp, 3 - kt */
{
/* Val buffer */
double xmelt=0,hlatent=0,ival;
long int m1;
double ykm=mpb*3e-3,ts=0,tl=0;
/* Calculate melt fraction using marker type */
if (ykm>0)
switch(mm2)
{
/* Sediments: latent heat 300 kJ/kg (Bittner & Schmeling, 1995) */
case 3:
case 4:
case 5:
case 17:
case 23:
case 24:
case 25:
case 37:
/* Wet Solidus Temperature, Johannes, 1985, Poli & Schmidt, 2002 */
if (ykm<36.0)
{
ts=889.0+536.6/(ykm+1.609)+18.21/(ykm+1.609)/(ykm+1.609);
}
else
{
ts=831.3+2.0*ykm;
}
/* Dry Granite Liquidus, Johannes, 1985 */
tl=1262.0+3.0*ykm;
hlatent=300000.0;
break;
/* Basalt, Gabbro: latent heat 380 kJ/kg (Bittner & Schmeling, 1995) */
case 7:
case 8:
case 16:
case 27:
case 28:
case 36:
case 6:
case 18:
case 26:
case 38:
/* Wet solidus, Schmidt & Poli, 1998 */
if (ykm<48.0)
{
ts=972.6-2111.0/(ykm+10.63)+70033.0/(ykm+10.63)/(ykm+10.63);
}
else
{
ts=935.4+0.1162*ykm+0.006937*ykm*ykm;
}
/* Dry Toleitic Basalt Liquidus, Hess, 1989 */
tl=1423.15+3.5*ykm;
hlatent=380000.0;
break;
/* Peridotite: latent heat 400 kJ/kg Turcotte & Schubert, 1982, p.171 */
case 11:
case 34:
/* Wet solidus, Schmidt & Poli, 1998 */
if (ykm<72.0)
{
ts=1239.8+1493.0/(ykm+9.701);
}
else
{
ts=1266.3-0.3948*ykm+0.003893*ykm*ykm;
}
/* Dry Peridotite Liquidus, Hess, 1989 */
tl=2073.15+3.8*ykm;
hlatent=400000.0;
break;
/* Other rocks - No melting */
default:
break;
}
/* Melt fraction, latent heat calculation */
*mxmelt = *mhlatent = 0;
if(tl)
{
/* Melt fraction calc, check */
xmelt=(mtk-ts)/(tl-ts);
if(xmelt<0) xmelt=0;
if(xmelt>1.0) xmelt=1.0;
*mxmelt = xmelt;
/* Latent heat calc */
hlatent *= xmelt;
*mhlatent=hlatent;
}
}
/* End OMP Melt fraction, latent heat calculation */
/* Hydration front progress after H2O budget */
double hydration2omp()
{
/* Val buffer */
double ysurf,vfiltr,yfiltr,dydx,dydx1,sy1,sy2,sy3,sy4,sy5,e1,mwamin,x0,y0,x1,y1,vx1,vy1;
double hytimesum,hytimesum0;
/* TD Database variables */
double W0,W1,W2,W3,R0,R1,R2,R3,n,e,dx,dy;
double mtk,mpb,mwa,mro,dmwa,wro;
double Mgg,Mro,Mwa,Mcp,Mbb,Maa,Mdhh,Mkt;
long int m1,m2,m3,mm1,marknum1=marknum;
int mm2,mm3,n1,n2;
fprintf(fp_log,"\n WATER Transport BEGIN \n");fflush(fp_log);
/* Marker steps */
dx=dxwater;
dy=dywater;
/* Min water contents in the hydraten mantle wt% */
mwamin=0.1;
/* Min Distance from erosion surface for water release */
ysurf=8000.0;
/* Clear wa[] wt */
for (m1=0;m1<nodenum;m1++)
{
wa0[m1]=0;
wa1[m1]=0;
sol0[m1]=0;
sol1[m1]=0;
sol0[nodenum+m1]=1e+30;
sol1[nodenum+m1]=-1e+30;
sol0[nodenum2+m1]=1e+30;
sol1[nodenum2+m1]=-1e+30;
fre0[ m1]=1e+30;
fre0[nodenum +m1]=-1e+30;
fre0[nodenum2+m1]=1e+30;
fre0[nodenum3+m1]=-1e+30;
}
/* Fluid marker generation cycle */
double start=omp_get_wtime();
for (mm1=0;mm1<marknum;mm1++)
{
// Reset fluid presence indicator for next marker for loop
markwa[mm1] = 0;
/* Marker type */
mm2=(int)markt[mm1]; if (mm2>=100) mm2-=100;
/* Marker cell number */
m1=m1serch(markx[mm1]);
m2=m2serch(marky[mm1]);
m3=m1*ynumy+m2;
/* Erosion surface */
e1=(markx[mm1]-gx[m1])/(gx[m1+1]-gx[m1]);
sy1=(e1*ep[m1+1]+(1.0-e1)*ep[m1]);
/* Check markers out of grid and within hydration range */
if(markx[mm1]>0 && marky[mm1]>0 && (markx[mm1])<xsize && (marky[mm1])<ysize && (markk[mm1]>0 || markt[mm1]>=50) && markt[mm1]<100)
if((markd[mm1])>=0 && (markw[mm1])>=0 && mm2>1 && mm2!=9 && mm2!=10)
{
if(mm2<50)
{
/* P, T parameters calc */
mpb=1e-5*allinterpomp(markx[mm1],marky[mm1],m1,m2);
mtk=(markk[mm1]);
/* Mantle to Antigorite transformation */
antigoromp(mtk,mpb,markx[mm1],marky[mm1],mm1,m1,markt);
/* Rocks to rock+melt transformation */
if (markt[mm1]>=20)
{
/* Check melting extent */
if(fre0[ +m3]>markx[mm1]-dx) fre0[ m3]=markx[mm1]-dx;
if(fre0[nodenum +m3]<markx[mm1]+dx) fre0[nodenum +m3]=markx[mm1]+dx;
if(fre0[nodenum2+m3]>marky[mm1]-dy) fre0[nodenum2+m3]=marky[mm1]-dy;
if(fre0[nodenum3+m3]<marky[mm1]+dy) fre0[nodenum3+m3]=marky[mm1]+dy;
}
/* Compute TD variables */
tdbasecalcomp(markx[mm1],marky[mm1],mtk,mpb,mm2,mm1,m1,&Mgg,&Mro,&Mwa,&Mcp,&Mbb,&Maa,&Mdhh,&Mkt);
mro=Mro;
mwa=Mwa;
/* Water changes in kg/m3 calc */
dmwa=mro*(mwa-markw[mm1])*1e-2;
//{fprintf(fp_log,"H2O MARKER %ld %d %d %e %e %e %e %e %e %e",mm1,mm2,mm3,mtk-273.15,mpb/1000.0,mwa,mro,markw[mm1],markd[mm1],dmwa);getchar();}
//{fprintf(fp_log,"H2O RELEASE %ld %d %d %e %e %e %e %e %e %e",mm1,mm2,mm3,mtk-273.15,mpb/1000.0,mwa,mro,markw[mm1],markd[mm1],dmwa);getchar();}
/* Add water changes to the current cell, kg/m3 */
/* Water release */
if ((markw[mm1]-mwa)>dmwamin)
{
/* Save new water content */
markw[mm1]=mwa;
/* Generation of fluid marker (NO FLUID From melts */
if (markt[mm1]<20 && marky[mm1]>sy1)
{
markt[marknum1]=markt[mm1]+50;
markx[marknum1]=markx[mm1];
marky[marknum1]=marky[mm1];
markk[marknum1]=markk[mm1];
markd[marknum1]=1050.0;
markw[marknum1]=-dmwa;
/* Add aditional markers counter */
marknum1++;
// If new marker is interesting for picking algorithm, flag to follow
// Note is hard-coded in i2.c as well. Only here excluded fluid markers, since immobile can not become fluid
if ( start_cond==1 && marky[marknum1]<85e3 && markx[marknum1]>gx[m10_hr] && markx[marknum1]<gx[m11_hr] && markt[marknum1]>49 && markt[marknum1]<100)
{
follow[marknum1]=2;
nmf++;
}
/* Check hydration extent */
if(sol0[nodenum+m3]>markx[mm1]-dx) sol0[nodenum+m3]=markx[mm1]-dx;
if(sol1[nodenum+m3]<markx[mm1]+dx) sol1[nodenum+m3]=markx[mm1]+dx;
if(sol0[nodenum2+m3]>marky[mm1]-dy) sol0[nodenum2+m3]=marky[mm1]-dy;
if(sol1[nodenum2+m3]<marky[mm1]+dy) sol1[nodenum2+m3]=marky[mm1]+dy;
}
}
else
/* Water consuming */
{
if(dmwa>0)
{
wa1[m3]+=dmwa;
sol1[m3]+=1.0;
}
}
}
else
/* Fluid marker count */
{
/* Check position */
if(marky[mm1]>sy1)
{
/* Check hydration extent */
if(sol0[nodenum+m3]>markx[mm1]-dx) sol0[nodenum+m3]=markx[mm1]-dx;
if(sol1[nodenum+m3]<markx[mm1]+dx) sol1[nodenum+m3]=markx[mm1]+dx;
if(sol0[nodenum2+m3]>marky[mm1]-dy) sol0[nodenum2+m3]=marky[mm1]-dy;
if(sol1[nodenum2+m3]<marky[mm1]+dy) sol1[nodenum2+m3]=marky[mm1]+dy;
}
else
/* Erase fluid marker */
{
markx[mm1]=-1.0;
markk[mm1]=0;
}
}
}
}
/* Rock hydration cycle: rocks get hydrated by changing marker type mm2 */
start=omp_get_wtime();
for (mm1=0;mm1<marknum;mm1++)
if(markx[mm1]>0 && marky[mm1]>0 && (markx[mm1])<xsize && (marky[mm1])<ysize && markt[mm1]<50)
{
/* Marker cell number */
m1=m1serch(markx[mm1]);
m2=m2serch(marky[mm1]);
m3=m1*ynumy+m2;
/* Check markers within hydration range */
if(markx[mm1]>sol0[nodenum+m3] && marky[mm1]>sol0[nodenum2+m3] && (markx[mm1])<sol1[nodenum+m3] && (marky[mm1])<sol1[nodenum2+m3])
{
/* Fluid presence mark */
markwa[mm1]=1;
if(markt[mm1]==9 || markt[mm1]==10 || markt[mm1]==12 || markt[mm1]==14 || markt[mm1]==5 || markt[mm1]==6)
{
/* Mantle Hydration */
if (markt[mm1]!=5 && markt[mm1]!=6)
{
mm2=markt[mm1]=11;
}
else
{
mm2=markt[mm1]=markt[mm1]+12;
}
/* P, T parameters calc */
mpb=1e-5*allinterpomp(markx[mm1],marky[mm1],m1,m2);
mtk=(markk[mm1]);
/* Mantle to Antigorite transformation */
antigoromp(mtk,mpb,markx[mm1],marky[mm1],mm1,m1,markt);
/* Rocks to rock+melt transformation */
if (markt[mm1]>=20)
{
/* Check melting extent */
if(fre0[ +m3]>markx[mm1]-dx) fre0[ m3]=markx[mm1]-dx;
if(fre0[nodenum +m3]<markx[mm1]+dx) fre0[nodenum +m3]=markx[mm1]+dx;
if(fre0[nodenum2+m3]>marky[mm1]-dy) fre0[nodenum2+m3]=marky[mm1]-dy;
if(fre0[nodenum3+m3]<marky[mm1]+dy) fre0[nodenum3+m3]=marky[mm1]+dy;
}
/* Thermodynamic database use for Ro as function of Water content */
/* Compute TD variables */
tdbasecalcomp(markx[mm1],marky[mm1],mtk,mpb,mm2,mm1,m1,&Mgg,&Mro,&Mwa,&Mcp,&Mbb,&Maa,&Mdhh,&Mkt);
mro=Mro;
mwa=Mwa;
/* Water changes in kg/m3 calc */
dmwa=mro*(mwa-markw[mm1])*1e-2;
/* Add water changes to the current cell, kg/m3 */
/* Water consuming */
if (dmwa>0)
{
wa1[m3]+=dmwa;
sol1[m3]+=1.0;
}
}
}
}
/* Fluid marker computing cycle */
start=omp_get_wtime();
for (mm1=0;mm1<marknum1;mm1++)
{
/* Check markers out of grid and within hydration range */
if(markt[mm1]>=50 && markt[mm1]<100 && markx[mm1]>0 && marky[mm1]>0 && (markx[mm1])<xsize && (marky[mm1])<ysize)
{
/* Marker cell number */
m1=m1serch(markx[mm1]);
m2=m2serch(marky[mm1]);
m3=m1*ynumy+m2;
/* Erosion surface */
e1=(markx[mm1]-gx[m1])/(gx[m1+1]-gx[m1]);
sy1=(e1*ep[m1+1]+(1.0-e1)*ep[m1]);
/* Water in melt region conversion */
if(markd[mm1]<1100.0 && markx[mm1]>fre0[m3] && marky[mm1]>fre0[nodenum2+m3] && markx[mm1]<fre0[nodenum+m3] && marky[mm1]<fre0[nodenum3+m3]) markd[mm1]=1150.0;
/* Check position, no fluid above erosion/sedimentation level, no fluid passing through the melt */
if(marky[mm1]>sy1 && marky[mm1]<zdeep && (markd[mm1]<1100.0 || (markx[mm1]>fre0[m3] && marky[mm1]>fre0[nodenum2+m3] && markx[mm1]<fre0[nodenum+m3] && marky[mm1]<fre0[nodenum3+m3])))
{
wa0[m3]+=markw[mm1];
sol0[m3]+=1.0;
}
else
/* Erase fluid marker */
{
markx[mm1]=-1.0;
markk[mm1]=0;
}
}
}
if (printmod==10000) fprintf(fp_log,"\n Time taken for fluid computing cycle = %e s \n",omp_get_wtime()-start);
/* Fluid marker consuming cycle */
start=omp_get_wtime();
for (mm1=0;mm1<marknum1;mm1++)
{
/* Marker type */
mm2=(int)markt[mm1]; if (mm2>=100) mm2-=100;
// What use? since will not use mm1>100 anyway..
/* Marker cell number */
m1=m1serch(markx[mm1]);
m2=m2serch(marky[mm1]);
m3=m1*ynumy+m2;
/* Change water consuming rocks and fluid makers */
if(markx[mm1]>0 && marky[mm1]>0 && (markx[mm1])<xsize && (marky[mm1])<ysize && (markk[mm1]>0 || markt[mm1]>=50) && markt[mm1]<100)
if((markd[mm1])>=0 && (markw[mm1])>=0 && mm2>1 && mm2!=9 && mm2!=10 && mm2!=12 && mm2!=14 && mm2!=5 && mm2!=6)
{
// For all assimilating rock types: 0-50, except those one line above
if(mm2<50)
{
/* P, T parameters calc */
// Why need to do this every time again?
mpb=1e-5*allinterpomp(markx[mm1],marky[mm1],m1,m2);
mtk=markk[mm1];
/* Thermodynamic database use for Ro, Water */
/* Compute TD variables */
tdbasecalcomp(markx[mm1],marky[mm1],mtk,mpb,mm2,mm1,m1,&Mgg,&Mro,&Mwa,&Mcp,&Mbb,&Maa,&Mdhh,&Mkt);
mwa=Mwa;
mro=Mro;
/* Water change */
dmwa=mwa-markw[mm1];
/* Add water changes to the current cell, kg/m3 */
/* Water consuming */
if(dmwa>0)
{
if (wa1[m3]<=wa0[m3])
{
/* Save complete new water content */
markw[mm1]=mwa;
}
else
{
/* COmpute, Save partial new water content */
markw[mm1]=markw[mm1]+dmwa*wa0[m3]/wa1[m3];
}
}
}
// For all fluid markers: 50-100
else
/* Fluid marker change */
{
// Evaluate wether all free water is finished
if(wa1[m3]<wa0[m3])
{
/* Count water changes for fluid marker */
markw[mm1]*=1.0-wa1[m3]/wa0[m3];
}
else
/* Erase fluid marker */
{
markx[mm1]=-1.0;
markk[mm1]=0;
}
}
}
}
/* Reset aditional markers */
fprintf(fp_log,"\n WATER BEG Number of markers: OLD = %ld NEW = %ld \n",marknum,marknum1); fflush(fp_log);
mm1=0;
while(marknum1>marknum && mm1<marknum)
{
/* Reload marker */
if((markx[mm1]<0 || marky[mm1]<0 || (markx[mm1])>xsize || (marky[mm1])>ysize) && markt[mm1]<100)
{
/* Decrease aditional markers counter */
marknum1--;
if(markx[marknum1]>=0);
{
/* Type save */
markt[mm1]=markt[marknum1];
/* X,Y, water reload */
markx[mm1]=markx[marknum1];
marky[mm1]=marky[marknum1];
markw[mm1]=markw[marknum1];
markd[mm1]=markd[marknum1];
markk[mm1]=markk[marknum1];
}
}
/* Increase markers counter */
mm1++;
}
fprintf(fp_log,"\n WATER END Number of markers: OLD = %ld NEW = %ld \n",marknum,marknum1); fflush(fp_log);
/* Set new marker number */
marknum=marknum1;
return 0;
}
/* End OMP Hydration front progress after H2O budget */
/* Erosion Surface progress */
void erosion()
{
/* Val buffer */
double v0,v1,dydx,x1,vx1,vy1,dy;
double ertimesum,ertimesum0;
long int m1,m2;
/**/
/* Erosion Solution Cycle ------------------------------------------ */
ertimesum=0;
ertimesum0=timestep;
do
{
/* Save old cycle results */
for (m1=0;m1<xnumx;m1++)
{
ep0[m1]=ep[m1];
ep0[xnumx+m1]=ep[xnumx+m1];
}
/**/
/**/
/**/
/* Initial timestep definition */
timestep=ertimesum0-ertimesum;
/**/
/**/
/**/
/* Erosion timestep definition using material velosity field */
for (m1=0;m1<xnumx;m1++)
{
/* Calc horisontal Coordinate */
x1=gx[m1];
/**/
/* EROSION SURFACE */
/* Calc material velocity on the Surface using velosity field */
allinteri(x1,ep0[m1]);
vx1=eps[11];
vy1=eps[12];
/* Check horizontal timestep */
/* Calc x derivative of y position of the Surface using upwind differences */
dydx=0;
if(vx1>0 && m1>0)
{
timestep=MINV(timestep,(gx[m1]-gx[m1-1])/vx1);
/*
fprintf(fp_log,"111 %ld %e %e %e %e %e %e %e",m1,vx1,vy1,(gx[m1]-gx[m1-1])/vx1,ertimesum0,ertimesum,ertimesum0-ertimesum,timestep);getchar();
*/
}
if(vx1<0 && m1<xnumx-1)
{
timestep=MINV(timestep,(gx[m1]-gx[m1+1])/vx1);
/*
fprintf(fp_log,"222 %ld %e %e %e %e %e %e %e",m1,vx1,vy1,(gx[m1]-gx[m1+1])/vx1,ertimesum0,ertimesum,ertimesum0-ertimesum,timestep);getchar();
*/
}
/* Check vertical timestep */
if(vy1)
{
/* Horizontal line num definition */
m2=m2serch(ep0[m1]);
/* Check timestep */
timestep=MINV(timestep,(gy[m2+1]-gy[m2])/ABSV(vy1));
/*
fprintf(fp_log,"333 %ld %e %e %e %e %e %e %e",m2,vx1,vy1,(gy[m2+1]-gy[m2])/ABSV(vy1),ertimesum0,ertimesum,ertimesum0-ertimesum,timestep);getchar();
*/
}
/**/
/**/
/* INITIAL SURFACE */
/* Calc material velocity on the Initial Surface using velosity field */
allinteri(x1,ep0[xnumx+m1]);
vx1=eps[11];
vy1=eps[12];
/* Check horizontal timestep */
/* Calc x derivative of y position of the Surface using upwind differences */
dydx=0;
if(vx1>0 && m1>0)
{
timestep=MINV(timestep,(gx[m1]-gx[m1-1])/vx1);
/*
fprintf(fp_log,"444 %ld %e %e %e %e %e %e %e",m1,vx1,vy1,(gx[m1]-gx[m1-1])/vx1,ertimesum0,ertimesum,ertimesum0-ertimesum,timestep);getchar();
*/
}
if(vx1<0 && m1<xnumx-1)
{
timestep=MINV(timestep,(gx[m1]-gx[m1+1])/vx1);
/*
fprintf(fp_log,"555 %ld %e %e %e %e %e %e %e",m1,vx1,vy1,(gx[m1]-gx[m1+1])/vx1,ertimesum0,ertimesum,ertimesum0-ertimesum,timestep);getchar();
*/
}
/* Check vertical timestep */
if(vy1)
{
/* Horizontal line num definition */
m2=m2serch(ep0[xnumx+m1]);
/* Check timestep */
timestep=MINV(timestep,(gy[m2+1]-gy[m2])/ABSV(vy1));
/*
fprintf(fp_log,"666 %ld %e %e %e %e %e %e %e",m2,vx1,vy1,(gy[m2+1]-gy[m2])/ABSV(vy1),ertimesum0,ertimesum,ertimesum0-ertimesum,timestep);getchar();
*/
}
}
/*
fprintf(fp_log,"777 %e %e %e %e",ertimesum0,ertimesum,ertimesum0-ertimesum,timestep);getchar();
*/
/**/
/**/
/**/
/* Displace Surface boundary */
/*
for (m1=1;m1<xnumx-1;m1++)
*/
for (m1=0;m1<xnumx;m1++)
{
/* EROSION SURFACE */
/* Calculation of errosion rate */
v0=0;
if(ep0[m1]<eroslev)
{
v0=eroscon+eroskoe*(eroslev-ep0[m1]);
}
/* Calculation of sedimentation rate */
v1=0;
if(ep0[m1]>sedilev)
{
v1=sedicon+sedikoe*(ep0[m1]-sedilev);
}
/* Calc horisontal Coordinate */
x1=gx[m1];
/**/
/* Calc material velocity on the Surface using velosity field */
allinteri(x1,ep0[m1]);
vx1=eps[11];
vy1=eps[12];
/**/
/* Erase erosion/sedimentation rate for marginal points */
if((m1==0 && vx1>0) || (m1==xnumx-1 && vx1<0)) v0=v1=0;
/**/
/* Calc x derivative of y position of the Surface using upwind differences */
dydx=0;
if(vx1>0 && m1>0)
{
dydx=(ep0[m1]-ep0[m1-1])/(gx[m1]-gx[m1-1]);
/*
fprintf(fp_log,"AAA %e %e",ep0[m1],dydx);getchar();
*/
}
if(vx1<0 && m1<xnumx-1)
{
dydx=(ep0[m1+1]-ep0[m1])/(gx[m1+1]-gx[m1]);
/*
fprintf(fp_log,"BBB %e %e",ep0[m1],dydx);getchar();
*/
}
/* Recalc new Surface position */
ep[m1]+=timestep*(v0-v1+vy1-dydx*vx1);
/*
fprintf(fp_log,"SURFACE %ld %e %e %e %e %e %e %e %e",m1,x1,v0,v1,vx1,vy1,dydx,ep[m1]);getchar();
*/
/**/
/**/
/**/
/* INITIAL SURFACE */
/* Initial surface displacement */
/* Calc material velocity on the Surface using velosity field */
allinteri(x1,ep0[xnumx+m1]);
vx1=eps[11];
vy1=eps[12];
/* Calc x derivative of y position of Initial Surface using upwind differences */
dydx=0;
if(vx1>0 && m1>0)
{
dydx=(ep0[xnumx+m1]-ep0[xnumx+m1-1])/(gx[m1]-gx[m1-1]);
/*
fprintf(fp_log,"AAA %e ",dydx);getchar();
fprintf(fp_log,"AAA %e ",dydx);getchar();
*/
}
if(vx1<0 && m1<xnumx-1)
{
dydx=(ep0[xnumx+m1+1]-ep0[xnumx+m1])/(gx[m1+1]-gx[m1]);
/*
fprintf(fp_log,"BBB %e ",dydx);getchar();
*/
}
/* Recalc new Initial Surface position */
ep[xnumx+m1]+=timestep*(vy1-dydx*vx1);
/**/
}
/**/
/**/
/**/
/**/
/* Relax EROSION surface */
if (0==0)
for (m1=0;m1<xnumx-1;m1++)
{
/* Calc x derivative of y position */
dydx=(ep[m1+1]-ep[m1])/(gx[m1+1]-gx[m1]);
/* Relax surface for critical slope */
if(dydx>slopemax)
{
dy=((ep[m1+1]-ep[m1])-slopemax*(gx[m1+1]-gx[m1]))/2.0;
ep[m1] +=dy;
ep[m1+1]-=dy;
/*
dydx=(ep[m1+1]-ep[m1])/(gx[m1+1]-gx[m1]);
fprintf(fp_log,"AAA %ld %e %e",m1,slopemax,dydx);getchar();
*/
}
if(dydx<-slopemax)
{
dy=((ep[m1+1]-ep[m1])+slopemax*(gx[m1+1]-gx[m1]))/2.0;
ep[m1] +=dy;
ep[m1+1]-=dy;
/*
dydx=(ep[m1+1]-ep[m1])/(gx[m1+1]-gx[m1]);
fprintf(fp_log,"BBB %ld %e %e",m1,slopemax,dydx);getchar();
*/
}
}
/**/
/**/
/**/
/* Add Erosion step */
ertimesum+=timestep;
/**/
/**/
/**/
/* Print Results */
if (printmod) { fprintf(fp_log,"\n EROSION STEP = %e YEARS EROSION TIME = %e YEARS \n",timestep/3.15576e+7,ertimesum/3.15576e+7); fflush(fp_log); }
}
while(ertimesum<ertimesum0);
/* Restore timestep */
timestep=ertimesum0;
}
/* Erosion Surface progress */
/* Thermodynamic database use for ro, Cp */
// Within a loop over all markers, do:
// Interpolation properties between four nearest points in thermodynamic database dep. on T,P,composition
void tdbasecalcomp(double x, double y, double mtk, double mpb, int mm2, long int mm1, long int m10, double *Mgg, double *Mro, double *Mwa, double *Mcp, double *Mbb, double *Maa, double *Mdhh, double *Mkt)
{
/* TD Database variables, dTK,dPB - TK, PB step for tabulation in TD database */
double H0,H1,H2,H3,R0,R1,R2,R3,G0,G1,G2,G3,W0,W1,W2,W3,n,e;
/* Val Buffers */
int n1,n2,mm3,ynpb;
double mhh0,mhh1,mdhh,maa,mwa,dmwa,wro,mro,mcp,mbb,mgg,mkt,mkt1,pbmax,xold,kr01,kr1,kr10,xkr,krad;
long int m1=m10;
double sy1,e1;
/* Maximal pressure for the shallow database */
pbmax=pbmin+pbstp*(double)(pbnum-1);
/* Adiabate computing */
ynpb=0; if(1==0 && timesum<3.15576e+7*1e+3) {fprintf(fp_log,"in adiabate: can not right ? \n"); fflush(fp_log); mpb*=timesum/(3.15576e+7*1e+3); ynpb=1;}
/* Reset TD variables */
*Mgg=*Mro=*Mwa=*Mcp=*Mbb=*Maa=0;
/* Thermal conductivity */
/* m895 Dry peridotite Fe=12 */
/* Olivine: Hoffmeister, 1999; Hoffmeister & Yuen, 2005 */
if(mpb<235000.0)
{
/* Lattice k */
mkt1=(1.878+770.9/MINV(mtk,1200.0))*(1.0+4.26e-6*mpb);
/* Radiative k 0.1 mm */
kr01=pow(mtk/4000.0,3.0);
/* Radiative k 1 mm */
kr1=pow(mtk/1774.0,3.0);
/* Radiative k 10 mm */
xkr=pow(mtk/1636.0,10.0);
xkr/=xkr+1.0; kr10=pow((mtk-1000.0*xkr)/1011.0,3.0)-0.7713*xkr;
}
/* Perovskite: Hoffmeister, 1999; Hoffmeister & Yuen, 2005 */
else
{
/* Lattice k */
mkt1=(1.291+1157.0/MINV(mtk,2100.0))*(1.0+2.50e-6*mpb);
/* Radiative k 0.1 mm */
kr01=pow(mtk/3591.0,3.0);
/* Radiative k 1 mm */
kr1=pow(mtk/2117.0,3.0);
/* Radiative k 10 mm */
xkr=pow(mtk/1500.0,4.0); xkr/=xkr+1.0;
kr10=pow((mtk+4000.0*xkr)/5776.0,3.0)+2.822*xkr;
}
krad=kr1;
/* Shallow TD base type */
if(mpb<pbmax && ynpb==0)
{
/* TD base type */
switch (mm2)
{
/* Dry Upper crust */
case 5: mm3=11; break;
/* Wet Upper crust */
case 17: mm3=12; break;
/* Dry Lower crust */
case 6: mm3=13; break;
/* Wet Lower crust */
case 18: mm3=14; break;
/* Sediments */
case 2:
case 3:
case 4: mm3=5; break;
/* Molten Sediments */
case 37:
case 25:
case 22:
case 23:
case 24: mm3=6; break;
/* Basalt */
case 16:
case 7: mm3=7; break;
/* Molten Basalt */
case 36:
case 27: mm3=8; break;
/* Gabbro */
case 38:
case 26:
case 8: mm3=3; break;
/* Molten Gabbro */
case 28: mm3=4; break;
/* Dry peridotite */
case 9:
case 12:
case 14:
case 10: mm3=0; break;
/* Wet peridotite */
case 13:
case 11: mm3=1; break;
/* Molten peridotite */
case 34: mm3=2; break;
/* Unknown type */
default: {fprintf(fp_log,"Shallow TD: Unknown rock type for TD database %d, for marker %ld with T= %f, P=%f \n",mm2,mm1,mtk,mpb); fflush(fp_log); exit(0);}
}
/* ABCD-4Cell Number */
// Get weights for nearest points in thermodynamic database
e=(mtk-tkmin)/tkstp;
if(e<0) e=0;
if(e>(double)(tknum-1)) e=(double)(tknum-1);
n=(mpb-pbmin)/pbstp;
if(n<0) n=0;
if(n>(double)(pbnum-1)) n=(double)(pbnum-1);
n1=(int)(e);
if(n1>tknum-2) n1=tknum-2;
n2=(int)(n);
if(n2>pbnum-2) n2=pbnum-2;
/* e,n Calc */
e=(e-(double)(n1));
n=(n-(double)(n2));
/* Ro H values */
/* 0 2 */
/* 1 3 */
R0=td[n1 ][n2 ][mm3][0]*1000.0;
R1=td[n1 ][n2+1][mm3][0]*1000.0;
R2=td[n1+1][n2 ][mm3][0]*1000.0;
R3=td[n1+1][n2+1][mm3][0]*1000.0;
H0=td[n1 ][n2 ][mm3][1]*1000.0*4.1837;
H1=td[n1 ][n2+1][mm3][1]*1000.0*4.1837;
H2=td[n1+1][n2 ][mm3][1]*1000.0*4.1837;
H3=td[n1+1][n2+1][mm3][1]*1000.0*4.1837;
W0=td[n1 ][n2 ][mm3][4];
W1=td[n1 ][n2+1][mm3][4];
W2=td[n1+1][n2 ][mm3][4];
W3=td[n1+1][n2+1][mm3][4];
G0=td[n1 ][n2 ][mm3][3]*1000.0;G0*=G0*R0;
G1=td[n1 ][n2+1][mm3][3]*1000.0;G1*=G1*R1;
G2=td[n1+1][n2 ][mm3][3]*1000.0;G2*=G2*R2;
G3=td[n1+1][n2+1][mm3][3]*1000.0;G3*=G3*R3;
/* Shear modulus calc by interpolation */
mgg=((G0*(1.0-n)+G1*n)*(1.0-e)+(G2*(1.0-n)+G3*n)*e);
/* Ro calc by interpolation */
mro=((R0*(1.0-n)+R1*n)*(1.0-e)+(R2*(1.0-n)+R3*n)*e);
/* Water wt% calc by interpolation */
mwa=((W0*(1.0-n)+W1*n)*(1.0-e)+(W2*(1.0-n)+W3*n)*e);
/* Add pore fluid */
/* Erosion surface */
e1=(x-gx[m10])/(gx[m10+1]-gx[m10]);
sy1=y-(e1*ep[m10+1]+(1.0-e1)*ep[m10]);
if(marks0[mm2]>0 && sy1>0 && sy1<zmpor && mtk<tkpor)
{
dmwa=marks0[mm2]*(tkpor-mtk)/(tkpor-273.15)*(zmpor-sy1)/zmpor;
mwa+=dmwa;
wro=1050.0;
mro=mro/(1.0+dmwa*1e-2*(mro/wro-1.0));
}
/* Cp calc by interpolation */
mcp=((H2-H0)*(1.0-n)+(H3-H1)*n)/tkstp;
if(mcp<1e+2) mcp=1e+2; else if(mcp>5e+4) mcp=5e+4;
/* Effective adiabatic betta=1/V*dV/dT=ro/T*[-dH/dP+V] calc by interpolation */
mbb=(2.0/(R1+R0)-(H1-H0)/pbstp/1e+5)*(1.0-e)+(2.0/(R3+R2)-(H3-H2)/pbstp/1e+5)*e;
mbb*=mro/mtk;
if(mbb<-1e-2) mbb=-1e-2; else if(mbb>1e-2) mbb=1e-2;
/* Effective compressibility term alpha=1/ro*d(ro)/dP calc by interpolation */
maa=(2.0/(R1+R0)*(R1-R0)*(1.0-e)+2.0/(R3+R2)*(R3-R2)*e)/pbstp/1e+5;
if(maa<0) maa=0;
/* Activation enthalpy recalc using enthalpy changes */
/* Current Enthalpy */
mhh1=((H0*(1.0-n)+H1*n)*(1.0-e)+(H2*(1.0-n)+H3*n)*e);
/* Pmin Enthalpy */
mhh0=(td[n1][0 ][mm3][1]*(1.0-e) + td[n1+1][0 ][mm3][1]*e)*1000.0*4.1837;
/* Enthalpy Difference calc */
mdhh=(mhh1-mhh0);
/* Save TD variables */
*Mgg=mgg;
*Mro=mro;
*Mwa=mwa;
*Mcp=mcp;
*Mbb=mbb;
*Maa=maa;
*Mdhh=mdhh;
*Mkt+=krad;
}
/* Deep TD base type */
if(1==0 || mpb>0.75*pbmax || ynpb==1)
{
switch (mm2)
{
/* MORB DATABASE */
/* UPPER, LOWER Crust */
case 5:
case 6:
case 17:
case 18:
case 37:
case 38:
/* Sediments */
case 2:
case 3:
case 4:
/* Molten Sediments */
case 22:
case 23:
case 24:
/* Molten crust */
case 25:
case 26:
/* Basalt */
case 16:
case 7:
/* Molten Basalt */
case 36:
case 27:
/* Gabbro */
case 8:
/* Molten Gabbro */
case 28: mm3=10; break;
/**/
/* PIROLITE DATABASE */
/* Dry peridotite */
case 9:
case 12:
case 14:
case 10:
/* Wet peridotite */
case 13:
case 11:
/* Molten peridotite */
case 34: mm3=9; break;
// Added missing rock types
case 15:
case 19:
case 20:
case 21:
case 29:
case 30:
/* Unknown type */
default: {fprintf(fp_log,"Deep TD: Unknown rock type for TD database %d, for marker %ld with T= %f, P=%f \n",mm2,mm1,mtk,mpb); fflush(fp_log); exit(0);}
}
/* ABCD-4Cell Number */
e=(mtk-tkmin1)/tkstp1;
if(e<0) e=0;
if(e>(double)(tknum1-1)) e=(double)(tknum1-1);
n=(mpb-pbmin1)/pbstp1;
if(n<0) n=0;
if(n>(double)(pbnum1-1)) n=(double)(pbnum1-1);
n1=(int)(e);
if(n1>tknum1-2) n1=tknum1-2;
n2=(int)(n);
if(n2>pbnum1-2) n2=pbnum1-2;
/* e,n Calc */
e=(e-(double)(n1));
n=(n-(double)(n2));
/* Ro H values */
/* 0 2 */
/* 1 3 */
R0=td[n1 ][n2 ][mm3][0]*1000.0;
R1=td[n1 ][n2+1][mm3][0]*1000.0;
R2=td[n1+1][n2 ][mm3][0]*1000.0;
R3=td[n1+1][n2+1][mm3][0]*1000.0;
H0=td[n1 ][n2 ][mm3][1]*1000.0*4.1837;
H1=td[n1 ][n2+1][mm3][1]*1000.0*4.1837;
H2=td[n1+1][n2 ][mm3][1]*1000.0*4.1837;
H3=td[n1+1][n2+1][mm3][1]*1000.0*4.1837;
W0=td[n1 ][n2 ][mm3][4];
W1=td[n1 ][n2+1][mm3][4];
W2=td[n1+1][n2 ][mm3][4];
W3=td[n1+1][n2+1][mm3][4];
G0=td[n1 ][n2 ][mm3][3]*1000.0;G0*=G0*R0;
G1=td[n1 ][n2+1][mm3][3]*1000.0;G1*=G1*R1;
G2=td[n1+1][n2 ][mm3][3]*1000.0;G2*=G2*R2;
G3=td[n1+1][n2+1][mm3][3]*1000.0;G3*=G3*R3;
/* Shear modulus calc by interpolation */
mgg=((G0*(1.0-n)+G1*n)*(1.0-e)+(G2*(1.0-n)+G3*n)*e);
/* Ro calc by interpolation */
mro=((R0*(1.0-n)+R1*n)*(1.0-e)+(R2*(1.0-n)+R3*n)*e);
/* Water wt% calc by interpolation */
mwa=0;
/* Water in crystals */
if(mm2!=9 && mm2!=10 && mm2!=14 && mpb<235000.0)
{
dmwa=0.1;
mwa+=dmwa;
wro=1050.0;
mro=100.0/((100.0-dmwa)/mro+dmwa/wro);
}
/* Cp calc by interpolation */
mcp=((H2-H0)*(1.0-n)+(H3-H1)*n)/tkstp1;
if(mcp<1e+2) mcp=1e+2; else if(mcp>5e+4) mcp=5e+4;
/* Effective adiabatic betta=1/V*dV/dT=ro/T*[-dH/dP+V] calc by interpolation */
mbb=(2.0/(R1+R0)-(H1-H0)/pbstp1/1e+5)*(1.0-e)+(2.0/(R3+R2)-(H3-H2)/pbstp1/1e+5)*e;
mbb*=mro/mtk;
if(mbb<-1e-2) mbb=-1e-2; else if(mbb>1e-2) mbb=1e-2;
/* Effective compressibility term alpha=1/ro*d(ro)/dP calc by interpolation */
maa=(2.0/(R1+R0)*(R1-R0)*(1.0-e)+2.0/(R3+R2)*(R3-R2)*e)/pbstp1/1e+5;
if(maa<0) maa=0;
/* Activation enthalpy recalc using enthalpy changes */
/* Current Enthalpy */
mhh1=((H0*(1.0-n)+H1*n)*(1.0-e)+(H2*(1.0-n)+H3*n)*e);
/* Pmin Enthalpy */
mhh0=(td[n1][0 ][mm3][1]*(1.0-e) + td[n1+1][0 ][mm3][1]*e)*1000.0*4.1837;
/* Enthalpy Difference calc */
mdhh=(mhh1-mhh0);
/* Thermal conductivity */
mkt=mkt1+krad;
/* Computing transitional parameters */
if(1==0 || mpb>pbmax || ynpb==1)
// Manny has 1==1
{
/* Save TD variables */
*Mgg=mgg;
*Mro=mro;
*Mwa=mwa;
*Mcp=mcp;
*Mbb=mbb;
*Maa=maa;
*Mdhh=mdhh;
*Mkt=mkt;
}
else
{
xold=(pbmax-mpb)/(0.25*pbmax);
/* Save TD variables */
// Second column comes from shallow database assignment above, but I never reach into this deep one !
mgg=mgg*(1.0-xold)+ *Mgg *xold;
mro=mro*(1.0-xold)+ *Mro *xold;
mwa=mwa*(1.0-xold)+ *Mwa *xold;
mcp=mcp*(1.0-xold)+ *Mcp *xold;
mbb=mbb*(1.0-xold)+ *Mbb *xold;
maa=maa*(1.0-xold)+ *Maa *xold;
mdhh=mdhh*(1.0-xold)+ *Mdhh *xold;
mkt=mkt*(1.0-xold)+ *Mkt *xold;
*Mgg=mgg;
*Mro=mro;
*Mwa=mwa;
*Mcp=mcp;
*Mbb=mbb;
*Maa=maa;
*Mdhh=mdhh;
*Mkt=mkt;
}
}
}
/* End OMP Thermodynamic database use for ro, Cp */
// *** Interpolation routines using the following nodal locations ***
/* Staggered Nodes num */
/* [0] [3] [6] */
/* T0,xy0 Vy0 T3,xy3 Vy3 */
/* */
/* Vx0 P4,xx4,yy4 Vx3 P7,xx7,yy7 */
/* */
/* [1] [4] [7] */
/* T,xy1 Vy1 T4,xy4 Vy4 */
/* */
/* Vx1 P5,xx5,yy5 Vx4 P8,xx8,yy8 */
/* */
/* [2] [5] [8] */
/* */
/* */
/* Weights for horizontal and vertical nodes calculation for marker interpolation */
void nodewt(long int m1min, long int m1max, long int m2min, long int m2max, double x, double y, int ynx, int yny)
/* m1min,m1max, m2min,m2max - node X,Y number limits */
/* x,y - current pont coordinates */
/* ynx, yny - Type of shifts: No(0), Back(-1), Forw(1) */
{
/* Eyy vertical position */
long int m3;
int nx,ny;
/* Weigths in horizontal directions */
/* Load distances to xn[] */
if(ynx<0)
{
for (m3=m1min;m3<=m1max;m3++)
{
xn[m3-m1min]=(gx[m3]+gx[m3-1])/2.0;
}
}
if(ynx==0)
{
for (m3=m1min;m3<=m1max;m3++)
{
xn[m3-m1min]=gx[m3];
}
}
if(ynx>0)
{
for (m3=m1min;m3<=m1max;m3++)
{
xn[m3-m1min]=(gx[m3]+gx[m3+1])/2.0;
}
}
/* Calc maximal position in xn[] */
nx=(int)(m1max-m1min);
/* Calc coefficients for horizontal direction */
fdweight(nx,0,x);
/**/
/* Reload horizontal coefficients to cn[] */
for (m3=0;m3<=nx;m3++)
{
cn[m3][1]=cn[m3][0];
}
/* Weigths in vertical directions */
/* Load distances to xn[] */
if(yny<0)
{
for (m3=m2min;m3<=m2max;m3++)
{
xn[m3-m2min]=(gy[m3]+gy[m3-1])/2.0;
}
}
if(yny==0)
{
for (m3=m2min;m3<=m2max;m3++)
{
xn[m3-m2min]=gy[m3];
}
}
if(yny>0)
{
for (m3=m2min;m3<=m2max;m3++)
{
xn[m3-m2min]=(gy[m3]+gy[m3+1])/2.0;
}
}
/* Calc maximal position in xn[] */
ny=(int)(m2max-m2min);
/* Calc coefficients for horizontal direction */
fdweight(ny,0,y);
}
/* End Weights for horizontal and vertical nodes calculation for marker interpolation */
/* Calculation of EE,VX,VY,ESP, and PR by Interpolation */
void allinteriomp(double x, double y, long int m10, long int m20, double *VX, double *VY, double *PR, double *ESP, double *EE)
/* x,y - XY location of point for Vx,Vy calc */
{
/* Counters */
long int m1,m2,m3;
/* en-NormalisedDistance */
// Keep EXX and EXY local here, so only calculates EE
double e,n,ival,xrat,EXX,EXY;
/**/
/**/
/* Check X,Y */
if(x<0) x=0; else if(x>xsize) x=xsize;
if(y<0) y=0; else if(y>ysize) y=ysize;
/**/
/**/
/**/
/* Check weighting for interpolation */
xrat=2.0/3.0;
if(x<(gx[0]+gx[1])/2.0) xrat=1.0;
if(x>(gx[xnumx-2]+gx[xnumx-1])/2.0) xrat=1.0;
if(y<(gy[0]+gy[1])/2.0) xrat=1.0;
if(y>(gy[ynumy-2]+gy[ynumy-1])/2.0) xrat=1.0;
/**/
/**/
/**/
// Store for more usage throughout subroutine
m1=m10;
m2=m20;
/**/
/**/
/**/
/* EXY, ESP interpolation ------------------------ */
// Clear buffer
*ESP=0;
/* Horizontal,Vertical limits for interpolation calc */
if(m10<1) m10=1; if(m10>xnumx-3) m10=xnumx-3;
if(m20<1) m20=1; if(m20>ynumy-3) m20=ynumy-3;
/**/
/* Calc normalized distances */
// Note that the nodal distance is now fixed, while before could change it with intermod. If want that again see old scripts in dynwif/CleanOldRun..
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
n=(y-gy[m20])/(gy[m20+1]-gy[m20]);
/* Vx interpolation ------------------------ */
m3=m10*ynumy+m20;
EXY=(1.0-e)*(1.0-n)*exy[m3]+(1.0-e)*n*exy[m3+1]+e*(1.0-n)*exy[m3+ynumy]+e*n*exy[m3+ynumy+1];
*ESP=(1.0-e)*(1.0-n)*esp[m3]+(1.0-e)*n*esp[m3+1]+e*(1.0-n)*esp[m3+ynumy]+e*n*esp[m3+ynumy+1];
/* End EXY, ESP interpolation ------------------------ */
/**/
/**/
/**/
/* Exx, P interpolation ------------------------ */
// Reset and clear buffer
m10=m1;
m20=m2;
*EE=0;
*PR=0;
*VX=0;
*VY=0;
/* Horizontal,Vertical limits for interpolation calc */
if(x>(gx[m10]+gx[m10+1])/2.0) m10++;
if(y>(gy[m20]+gy[m20+1])/2.0) m20++;
if(m10<1) m10=1; if(m10>xnumx-2) m10=xnumx-2;
if(m20<1) m20=1; if(m20>ynumy-2) m20=ynumy-2;
/* Calc normalized distances */
e=(x-(gx[m10-1]+gx[m10])/2.0)/((gx[m10+1]-gx[m10-1])/2.0);
n=(y-(gy[m20-1]+gy[m20])/2.0)/((gy[m20+1]-gy[m20-1])/2.0);
/* Interpolation ------------------------ */
m3=m10*ynumy+m20;
EXX=(1.0-e)*(1.0-n)*exx[m3]+(1.0-e)*n*exx[m3+1]+e*(1.0-n)*exx[m3+ynumy]+e*n*exx[m3+ynumy+1];
// QUESTION TARAS why Interpolate pressure here, do already in interp or d? Now I do port it back, so rm if no need ...
// I guess you could also formulate this more in general, as sometimes I have the feeling some variables are interpolated needlessly. Could you please go over these routines and removed what is not really need to speed the code up?
*PR=(1.0-e)*(1.0-n)*pr[m3]+(1.0-e)*n*pr[m3+1]+e*(1.0-n)*pr[m3+ynumy]+e*n*pr[m3+ynumy+1];
// Include small weight (xrat) from farther away nodes for velocities
*VX=( (1.0-e)*(1.0-n)*(vx[m3-1]+vx[m3-ynumy-1])+(1.0-e)*n*(vx[m3]+vx[m3-ynumy]) +e*(1.0-n)*(vx[m3+ynumy-1]+vx[m3-1])+e*n*(vx[m3+ynumy]+vx[m3]) ) * 0.5*(1.0-xrat);
*VY=( (1.0-e)*(1.0-n)*(vy[m3-ynumy]+vy[m3-ynumy-1])+(1.0-e)*n*(vy[m3-ynumy+1]+vy[m3-ynumy]) +e*(1.0-n)*(vy[m3]+vy[m3-1])+e*n*(vy[m3+1]+vy[m3]) ) * 0.5*(1.0-xrat);
//eps[11]+=ival*(vx[m3-1]+vx[m3-ynumy-1])*0.5*(1.0-xrat); QUESTION TARAS Why use nodes above and left above here ??
//eps[12]+=ival*(vy[m3-ynumy]+vy[m3-ynumy-1])*0.5*(1.0-xrat);
// Calculate second invariant
*EE=pow(EXX*EXX+EXY*EXY,0.5);
/* End SIGxx*EPSxx,SIGyy*EPSyy interpolation ------------------------ */
/* Vx interpolation ------------------------ */
// Reset and clear buffer
m10=m1;
m20=m2;
/* Horizontal,Vertical limits for interpolation calc */
if(y<(gy[m20]+gy[m20+1])/2.0) m20-=1;
if(m10<0) m10=0; if(m10>xnumx-2) m10=xnumx-2;
if(m20<0) m20=0; if(m20>ynumy-3) m20=ynumy-3;
/* Calc normalized distances */
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
n=(y-(gy[m20]+gy[m20+1])/2.0)/((gy[m20+2]-gy[m20])/2.0);
/* Vx interpolation ------------------------ */
m3=m10*ynumy+m20;
*VX+=((1.0-e)*(1.0-n)*vx[m3]+(1.0-e)*n*vx[m3+1]+e*(1.0-n)*vx[m3+ynumy]+e*n*vx[m3+ynumy+1])*xrat;
/* End Vx interpolation ------------------------ */
/**/
/**/
/**/
/* Vy interpolation ------------------------ */
// Reset and clear buffer
m10=m1;
m20=m2;
/* Horizontal,Vertical limits for interpolation calc */
if(x<(gx[m10]+gx[m10+1])/2.0) m10-=1;
if(m10<0) m10=0; if(m10>xnumx-3) m10=xnumx-3;
if(m20<0) m20=0; if(m20>ynumy-2) m20=ynumy-2;
/* Calc normalized distances */
e=(x-(gx[m10]+gx[m10+1])/2.0)/((gx[m10+2]-gx[m10])/2.0);
n=(y-gy[m20])/(gy[m20+1]-gy[m20]);
/* Vy interpolation ------------------------ */
m3=m10*ynumy+m20;
*VY+=((1.0-e)*(1.0-n)*vy[m3]+(1.0-e)*n*vy[m3+1]+e*(1.0-n)*vy[m3+ynumy]+e*n*vy[m3+ynumy+1])*xrat;
/* End Vy interpolation ------------------------ */
/**/
/**/
/**/
}
/* OMP Interpolate Vx,Vy, EPSxx,EPSyy,EPSxy, SPINxy from surrounding nodes to marker at x,y */
/* OMP Calculation of T,T0 for current location by Interpolation */
void allintertomp(double x, double y, long int m10, long int m20, double *TK, double *TK2)
/* x,y - XY location of point for Vx,Vy calc */
/* m10, m20 - Upper left node */
// TK - marker temperature
{
/* Counters */
long int m3;
/* en-NormalizedDistance */
double e,n,ival;
/* Check X,Y */
if(x<0) x=0; else if(x>xsize) x=xsize;
if(y<0) y=0; else if(y>ysize) y=ysize;
/* T interpolation ------------------------ */
/* Buffer clear */
*TK=*TK2=0;
/* Horizontal,Vertical limits for interpolation calc */
if(m10<0) m10=0; if(m10>xnumx-2) m10=xnumx-2;
if(m20<0) m20=0; if(m20>ynumy-2) m20=ynumy-2;
/* Calc normalized distances */
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
n=(y-gy[m20])/(gy[m20+1]-gy[m20]);
/* T interpolation ------------------------ */
m3=m10*ynumy+m20;
*TK=(1.0-e)*(1.0-n)*tk[m3]+(1.0-e)*n*tk[m3+1]+e*(1.0-n)*tk[m3+ynumy]+e*n*tk[m3+ynumy+1];
*TK2=(1.0-e)*(1.0-n)*tk2[m3]+(1.0-e)*n*tk2[m3+1]+e*(1.0-n)*tk2[m3+ynumy]+e*n*tk2[m3+ynumy+1];
/* End T interpolation ------------------------ */
}
/* OMP Calculation of T,T0 for current location by Interpolation */
/* OMP Calculation of P by Interpolation */
double allinterpomp(double x, double y, long int m10, long int m20)
/* x,y - XY location of point for Vx,Vy calc */
/* m10, m20 - Upper left node */
{
/* Counters */
long int m3;
/* en-Normalized distance */
double ival,e,n;
/* Check X,Y */
if(x<0) x=0; else if(x>xsize) x=xsize;
if(y<0) y=0; else if(y>ysize) y=ysize;
/* Buffer clear */
ival=0;
/* Horizontal,Vertical limits for interpolation calc */
if(x>(gx[m10]+gx[m10+1])/2.0) m10++;
if(y>(gy[m20]+gy[m20+1])/2.0) m20++;
if(m10<1) m10=1; if(m10>xnumx-2) m10=xnumx-2;
if(m20<1) m20=1; if(m20>ynumy-2) m20=ynumy-2;
/* Calc normalized distances */
e=(x-(gx[m10-1]+gx[m10])/2.0)/((gx[m10+1]-gx[m10-1])/2.0);
n=(y-(gy[m20-1]+gy[m20])/2.0)/((gy[m20+1]-gy[m20-1])/2.0);
/* P interpolation ------------------------ */
m3=m10*ynumy+m20;
ival=(1.0-e)*(1.0-n)*pr[m3]+(1.0-e)*n*pr[m3+1]+e*(1.0-n)*pr[m3+ynumy]+e*n*pr[m3+ynumy+1];
/* Return pressure */
return ival;
/*
fprintf(fp_log,"eps %e %e ",m1,m2,e,n); getchar();
if(timestep){fprintf(fp_log,"P1 %e %e %ld %ld %e %e %e",x,y,m10,m20,e,n,ival);getchar();}
*/
}
/* OMP End calculation of P by Interpolation */
/* Calculation of SIGij by Interpolation */
void allinterdomp(double x, double y,long int m10, long int m20, double *TK,double *EXY,double *EXYE,double *SXY,double *SXYE,double *EXX,double *SXX,double *PR,double *SXXE,double *SPPE,double *EXXE,double *VX, double *MVX, double *VY, double *MVY)
/* x,y - XY location of point for Vx,Vy calc */
{
/* Counters */
long int m1,m2,m3;
/* en-NormalisedDistance */
double ival,e,n,xrat;
/**/
/**/
/* Check X,Y */
if(x<0) x=0; else if(x>xsize) x=xsize;
if(y<0) y=0; else if(y>ysize) y=ysize;
/**/
/**/
/**/
/* Store Up Left Node X,Y Num for later re-usage */
m1=m10;
m2=m20;
/**/
/**/
/* Check weighting for interpolation */
xrat=2.0/3.0;
if(x<(gx[0]+gx[1])/2.0) xrat=1.0;
if(x>(gx[xnumx-2]+gx[xnumx-1])/2.0) xrat=1.0;
if(y<(gy[0]+gy[1])/2.0) xrat=1.0;
if(y>(gy[ynumy-2]+gy[ynumy-1])/2.0) xrat=1.0;
/**/
/**/
/* T interpolation ------------------------ */
/* Buffer clear */
*TK=0;
/* Horizontal,Vertical limits for interpolation calc */
if(m10<0) m10=0; if(m10>xnumx-2) m10=xnumx-2;
if(m20<0) m20=0; if(m20>ynumy-2) m20=ynumy-2;
/* Calc normalized distances */
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
n=(y-gy[m20])/(gy[m20+1]-gy[m20]);
/* EPSxy Interpolate after interpolation weights */
m3=m10*ynumy+m20;
*TK=(1.0-e)*(1.0-n)*tk[m3]+(1.0-e)*n*tk[m3+1]+e*(1.0-n)*tk[m3+ynumy]+e*n*tk[m3+ynumy+1];
/**/
/* End SIGij old interpolation ------------------------ */
/* End T interpolation ------------------------ */
/**/
/**/
/**/
/* SIGxy interpolation ------------------------ */
// Reset and clear buffer
m10=m1;
m20=m2;
*EXY=*EXYE=*SXY=*SXYE=0;
/* Horizontal,Vertical limits for interpolation calc */
if(m10<1) m10=1; if(m10>xnumx-3) m10=xnumx-3;
if(m20<1) m20=1; if(m20>ynumy-3) m20=ynumy-3;
/* Calc normalized distances */
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
n=(y-gy[m20])/(gy[m20+1]-gy[m20]);
/**/
/* EPSxy Interpolate after interpolation weights */
m3=m10*ynumy+m20;
*EXY=(1.0-e)*(1.0-n)*exy[m3]+(1.0-e)*n*exy[m3+1]+e*(1.0-n)*exy[m3+ynumy]+e*n*exy[m3+ynumy+1];
*EXYE=(1.0-e)*(1.0-n)*exye[m3]+(1.0-e)*n*exye[m3+1]+e*(1.0-n)*exye[m3+ynumy]+e*n*exye[m3+ynumy+1];
*SXY=(1.0-e)*(1.0-n)*sxy[m3]+(1.0-e)*n*sxy[m3+1]+e*(1.0-n)*sxy[m3+ynumy]+e*n*sxy[m3+ynumy+1];
*SXYE=(1.0-e)*(1.0-n)*sxye[m3]+(1.0-e)*n*sxye[m3+1]+e*(1.0-n)*sxye[m3+ynumy]+e*n*sxye[m3+ynumy+1];
/* End SIGxy interpolation ------------------------ */
/**/
/**/
/**/
/* SIGxx,SIGyy interpolation ------------------------ */
// Reset and clear buffer
m10=m1;
m20=m2;
*EXX=*SXX=*PR=*SXXE=*SPPE=*EXXE=0;
*VX=*MVX=0;
*VY=*MVY=0;
/* Horizontal,Vertical limits for interpolation calc */
if(x>(gx[m10]+gx[m10+1])/2.0) m10++;
if(y>(gy[m20]+gy[m20+1])/2.0) m20++;
if(m10<1) m10=1; if(m10>xnumx-2) m10=xnumx-2;
if(m20<1) m20=1; if(m20>ynumy-2) m20=ynumy-2;
/* Calc normalized distances */
e=(x-(gx[m10-1]+gx[m10])/2.0)/((gx[m10+1]-gx[m10-1])/2.0);
n=(y-(gy[m20-1]+gy[m20])/2.0)/((gy[m20+1]-gy[m20-1])/2.0);
/* P interpolation ------------------------ */
m3=m10*ynumy+m20;
*EXX =(1.0-e)*(1.0-n)*exx[m3]+(1.0-e)*n*exx[m3+1]+e*(1.0-n)*exx[m3+ynumy]+e*n*exx[m3+ynumy+1];
*SXX =(1.0-e)*(1.0-n)*sxx[m3]+(1.0-e)*n*sxx[m3+1]+e*(1.0-n)*sxx[m3+ynumy]+e*n*sxx[m3+ynumy+1];
*PR =(1.0-e)*(1.0-n)*pr[m3]+(1.0-e)*n*pr[m3+1]+e*(1.0-n)*pr[m3+ynumy]+e*n*pr[m3+ynumy+1];
*SPPE=(1.0-e)*(1.0-n)*sppe[m3]+(1.0-e)*n*sppe[m3+1]+e*(1.0-n)*sppe[m3+ynumy]+e*n*sppe[m3+ynumy+1];
*SXXE=(1.0-e)*(1.0-n)*sxxe[m3]+(1.0-e)*n*sxxe[m3+1]+e*(1.0-n)*sxxe[m3+ynumy]+e*n*sxxe[m3+ynumy+1];
*EXXE=(1.0-e)*(1.0-n)*exxe[m3]+(1.0-e)*n*exxe[m3+1]+e*(1.0-n)*exxe[m3+ynumy]+e*n*exxe[m3+ynumy+1];
*VX=( (1.0-e)*(1.0-n)*(vx[m3-1]+vx[m3-ynumy-1])+(1.0-e)*n*(vx[m3]+vx[m3-ynumy]) +e*(1.0-n)*(vx[m3+ynumy-1]+vx[m3-1])+e*n*(vx[m3+ynumy]+vx[m3]) )*0.5 *(1.0-xrat);
*VY=( (1.0-e)*(1.0-n)*(vy[m3-ynumy]+vy[m3-ynumy-1])+(1.0-e)*n*(vy[m3-ynumy+1]+vy[m3-ynumy]) +e*(1.0-n)*(vy[m3]+vy[m3-1])+e*n*(vy[m3+1]+vy[m3]) )*0.5 *(1.0-xrat);
*MVX=( (1.0-e)*(1.0-n)*(mvx[m3-1]+mvx[m3-ynumy-1])+(1.0-e)*n*(mvx[m3]+mvx[m3-ynumy]) +e*(1.0-n)*(mvx[m3+ynumy-1]+mvx[m3-1])+e*n*(mvx[m3+ynumy]+mvx[m3]) )*0.5 *(1.0-xrat);
*MVY=( (1.0-e)*(1.0-n)*(mvy[m3-ynumy]+mvy[m3-ynumy-1])+(1.0-e)*n*(mvy[m3-ynumy+1]+mvy[m3-ynumy]) +e*(1.0-n)*(mvy[m3]+mvy[m3-1])+e*n*(mvy[m3+1]+mvy[m3]) )*0.5 *(1.0-xrat);
/* End SIGxx,SIGyy interpolation ------------------------ */
/**/
/**/
/**/
/* Vx interpolation ------------------------ */
// Reset and clear buffer
m10=m1;
m20=m2;
/* Horizontal,Vertical limits for interpolation calc */
if(y<(gy[m20]+gy[m20+1])/2.0) m20-=1;
if(m10<0) m10=0; if(m10>xnumx-2) m10=xnumx-2;
if(m20<0) m20=0; if(m20>ynumy-3) m20=ynumy-3;
/* Calc normalized distances */
e=(x-gx[m10])/(gx[m10+1]-gx[m10]);
n=(y-(gy[m20]+gy[m20+1])/2.0)/((gy[m20+2]-gy[m20])/2.0);
/* Vx interpolation ------------------------ */
m3=m10*ynumy+m20;
//*VX=(1.0-e)*(1.0-n)*vx[m3]+(1.0-e)*n*vx[m3+1]+e*(1.0-n)*vx[m3+ynumy]+e*n*vx[m3+ynumy+1];
//*MVX=(1.0-e)*(1.0-n)*mvx[m3]+(1.0-e)*n*mvx[m3+1]+e*(1.0-n)*mvx[m3+ynumy]+e*n*mvx[m3+ynumy+1];
// Include small weight (xrat) from farther away nodes for velocities
*VX+=((1.0-e)*(1.0-n)*vx[m3]+(1.0-e)*n*vx[m3+1]+e*(1.0-n)*vx[m3+ynumy]+e*n*vx[m3+ynumy+1]) *xrat;
*MVX+=((1.0-e)*(1.0-n)*mvx[m3]+(1.0-e)*n*mvx[m3+1]+e*(1.0-n)*mvx[m3+ynumy]+e*n*mvx[m3+ynumy+1]) *xrat;
/* End Vx interpolation ------------------------ */
/**/
/**/
/**/
/* Vy interpolation ------------------------ */
// Reset and clear buffer
m10=m1;
m20=m2;
/* Horizontal,Vertical limits for interpolation calc */
if(x<(gx[m10]+gx[m10+1])/2.0) m10-=1;
if(m10<0) m10=0; if(m10>xnumx-3) m10=xnumx-3;
if(m20<0) m20=0; if(m20>ynumy-2) m20=ynumy-2;
/* Calc normalized distances */
e=(x-(gx[m10]+gx[m10+1])/2.0)/((gx[m10+2]-gx[m10])/2.0);
n=(y-gy[m20])/(gy[m20+1]-gy[m20]);
/* Vy interpolation ------------------------ */
m3=m10*ynumy+m20;
//*VY=(1.0-e)*(1.0-n)*vy[m3]+(1.0-e)*n*vy[m3+1]+e*(1.0-n)*vy[m3+ynumy]+e*n*vy[m3+ynumy+1];
//*MVY=(1.0-e)*(1.0-n)*mvy[m3]+(1.0-e)*n*mvy[m3+1]+e*(1.0-n)*mvy[m3+ynumy]+e*n*mvy[m3+ynumy+1];
// Include small weight (xrat) from farther away nodes for velocities
*VY+=((1.0-e)*(1.0-n)*vy[m3]+(1.0-e)*n*vy[m3+1]+e*(1.0-n)*vy[m3+ynumy]+e*n*vy[m3+ynumy+1]) *xrat;
*MVY+=((1.0-e)*(1.0-n)*mvy[m3]+(1.0-e)*n*mvy[m3+1]+e*(1.0-n)*mvy[m3+ynumy]+e*n*mvy[m3+ynumy+1]) *xrat;
/* End Vy interpolation ------------------------ */
/*
fprintf(fp_log,"eps %e %e ",m1,m2,e,n); getchar();
*/
}
/* Calculation of SIGij by Interpolation */
/* Calculation of Vx,Vy, EPSxx*SIGxx,EPSyy*SIGyy,EPSxy*SIGxy by Interpolation */
// Not adapted for parallelization
void allinters(double x, double y)
/* x,y - XY location of point for Vx,Vy calc */
{
/* Counters */
long int m1,m2,m3,m10,m20,m1min,m1max,m2min,m2max;
/* en-NormalisedDistance */
double ival;
/**/
/**/
/* Check X,Y */
if(x<0) x=0; else if(x>xsize) x=xsize;
if(y<0) y=0; else if(y>ysize) y=ysize;
/**/
/**/
/**/
/* Up Left Node X,Y Num */
wn[0]=m10=m1serch(x);
wn[1]=m20=m2serch(y);
/**/
/**/
/**/
/* SIGxy*EPSxy interpolation ------------------------ */
/* Buffer clear */
eps[13]=0;
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10; if(m1min<1) m1min=1; if(m1min>xnumx-3) m1min=xnumx-3;
m1max=m1min+1+intermod; if(m1max>xnumx-2) m1max=xnumx-2;
m1min=m1min-intermod; if(m1min<1) m1min=1;
/**/
m2min=m20; if(m2min<1) m2min=1; if(m2min>ynumy-3) m2min=ynumy-3;
m2max=m2min+1+intermod; if(m2max>ynumy-2) m2max=ynumy-2;
m2min=m2min-intermod; if(m2min<1) m2min=1;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,0,0);
/**/
/* SIGxy,EPSxy Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[13]+=ival*sxy[m3]*sxy[m3]/(2.0*nu[m3]);
}
/* End SIGxy*EPSxy interpolation ------------------------ */
/**/
/**/
/**/
/* SIGxx*EPSxx, SIGyy*EPSyy interpolation ------------------------ */
/* Buffer clear */
eps[14]=0;
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10; if(x>(gx[m10]+gx[m10+1])/2.0) m1min+=1;
if(m1min<1) m1min=1; if(m1min>xnumx-2) m1min=xnumx-2;
m1max=m1min+1+intermod; if(m1max>xnumx-1) m1max=xnumx-1;
m1min=m1min-intermod; if(m1min<1) m1min=1;
/**/
m2min=m20; if(y>(gy[m20]+gy[m20+1])/2.0) m2min+=1;
if(m2min<1) m2min=1; if(m2min>ynumy-2) m2min=ynumy-2;
m2max=m2min+1+intermod; if(m2max>ynumy-1) m2max=ynumy-1;
m2min=m2min-intermod; if(m2min<1) m2min=1;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,-1,-1);
/**/
/* SIGxx,EPSxx,SIGyy,EPSyy,P Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[14]+=ival*sxx[m3]*sxx[m3]/(2.0*nd[m3]);
}
/* End SIGxx*EPSxx,SIGyy*EPSyy interpolation ------------------------ */
/**/
/**/
/**/
/* Vx interpolation ------------------------ */
/* Buffer clear */
eps[11]=0;
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10-intermod; if(m1min<0) m1min=0;
m1max=m10+1+intermod; if(m1max>xnumx-1) m1max=xnumx-1;
/**/
m2min=m20; if(y<(gy[m20]+gy[m20+1])/2.0) m2min-=1;
if(m2min<0) m2min=0; if(m2min>ynumy-3) m2min=ynumy-3;
m2max=m2min+1+intermod; if(m2max>ynumy-2) m2max=ynumy-2;
m2min=m2min-intermod; if(m2min<0) m2min=0;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,0,+1);
/**/
/* Vx Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[11]+=ival*vx[m3];
}
/* End Vx interpolation ------------------------ */
/**/
/**/
/**/
/* Vy interpolation ------------------------ */
/* Buffer clear */
eps[12]=0;
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10; if(x<(gx[m10]+gx[m10+1])/2.0) m1min-=1;
if(m1min<0) m1min=0; if(m1min>xnumx-3) m1min=xnumx-3;
m1max=m1min+1+intermod; if(m1max>xnumx-2) m1max=xnumx-2;
m1min=m1min-intermod; if(m1min<0) m1min=0;
/**/
m2min=m20-intermod; if(m2min<0) m2min=0;
m2max=m20+1+intermod; if(m2max>ynumy-1) m2max=ynumy-1;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,+1,0);
/**/
/* Vy Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[12]+=ival*vy[m3];
}
/* End Vy interpolation ------------------------ */
/*
fprintf(fp_log,"eps %e %e ",m1,m2,e,n); getchar();
*/
}
/* Calculation of Vx,Vy, EPSxx*SIGxx,EPSyy*SIGyy,EPSxy*SIGxy by Interpolation */
/* Calculation of Vx,Vy, EPSxx,EPSyy,EPSxy, SPINxy by Interpolation */
// Not adapted for parallelization
void allinteri(double x, double y)
/* x,y - XY location of point for Vx,Vy calc */
{
/* Counters */
long int m1,m2,m3,m10,m20,m1min,m1max,m2min,m2max;
/* en-NormalisedDistance */
double ival,xrat;
/**/
/**/
/* Check X,Y */
if(x<0) x=0; else if(x>xsize) x=xsize;
if(y<0) y=0; else if(y>ysize) y=ysize;
/**/
/**/
/**/
/* Check weighting for interpolation */
xrat=2.0/3.0;
if(x<(gx[0]+gx[1])/2.0) xrat=1.0;
if(x>(gx[xnumx-2]+gx[xnumx-1])/2.0) xrat=1.0;
if(y<(gy[0]+gy[1])/2.0) xrat=1.0;
if(y>(gy[ynumy-2]+gy[ynumy-1])/2.0) xrat=1.0;
/**/
/**/
/**/
/* Up Left Node X,Y Num */
wn[0]=m10=m1serch(x);
wn[1]=m20=m2serch(y);
/**/
/**/
/**/
/* EPSxy, SPINxy interpolation ------------------------ */
/* Buffer clear */
eps[4]=eps[30]=0;
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10; if(m1min<1) m1min=1; if(m1min>xnumx-3) m1min=xnumx-3;
m1max=m1min+1+intermod; if(m1max>xnumx-2) m1max=xnumx-2;
m1min=m1min-intermod; if(m1min<1) m1min=1;
/**/
m2min=m20; if(m2min<1) m2min=1; if(m2min>ynumy-3) m2min=ynumy-3;
m2max=m2min+1+intermod; if(m2max>ynumy-2) m2max=ynumy-2;
m2min=m2min-intermod; if(m2min<1) m2min=1;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,0,0);
/**/
/* SIGxy,EPSxy Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[4]+=ival*exy[m3];
eps[30]+=ival*esp[m3];
}
/* End SIGxy*EPSxy interpolation ------------------------ */
/**/
/**/
/**/
/* EPSxx, EPSyy, P interpolation ------------------------ */
/* Buffer clear */
eps[6]=eps[10]=eps[11]=eps[12]=0;
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10; if(x>(gx[m10]+gx[m10+1])/2.0) m1min+=1;
if(m1min<1) m1min=1; if(m1min>xnumx-2) m1min=xnumx-2;
m1max=m1min+1+intermod; if(m1max>xnumx-1) m1max=xnumx-1;
m1min=m1min-intermod; if(m1min<1) m1min=1;
/**/
m2min=m20; if(y>(gy[m20]+gy[m20+1])/2.0) m2min+=1;
if(m2min<1) m2min=1; if(m2min>ynumy-2) m2min=ynumy-2;
m2max=m2min+1+intermod; if(m2max>ynumy-1) m2max=ynumy-1;
m2min=m2min-intermod; if(m2min<1) m2min=1;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,-1,-1);
/**/
/* SIGxx,EPSxx,SIGyy,EPSyy,P Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[6]+=ival*exx[m3];
eps[10]+=ival*pr[m3];
eps[11]+=ival*(vx[m3-1]+vx[m3-ynumy-1])*0.5*(1.0-xrat);
eps[12]+=ival*(vy[m3-ynumy]+vy[m3-ynumy-1])*0.5*(1.0-xrat);
}
/* End SIGxx*EPSxx,SIGyy*EPSyy interpolation ------------------------ */
/*
depthp(x,y);eps[10]=eps[50];
*/
/**/
/**/
/**/
/* Vx interpolation ------------------------ */
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10-intermod; if(m1min<0) m1min=0;
m1max=m10+1+intermod; if(m1max>xnumx-1) m1max=xnumx-1;
/**/
m2min=m20; if(y<(gy[m20]+gy[m20+1])/2.0) m2min-=1;
if(m2min<0) m2min=0; if(m2min>ynumy-3) m2min=ynumy-3;
m2max=m2min+1+intermod; if(m2max>ynumy-2) m2max=ynumy-2;
m2min=m2min-intermod; if(m2min<0) m2min=0;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,0,+1);
/**/
/* Vx Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[11]+=ival*vx[m3]*xrat;
}
/* End Vx interpolation ------------------------ */
/**/
/**/
/**/
/* Vy interpolation ------------------------ */
/* Horizontal,Vertical limits for interpolation calc */
m1min=m10; if(x<(gx[m10]+gx[m10+1])/2.0) m1min-=1;
if(m1min<0) m1min=0; if(m1min>xnumx-3) m1min=xnumx-3;
m1max=m1min+1+intermod; if(m1max>xnumx-2) m1max=xnumx-2;
m1min=m1min-intermod; if(m1min<0) m1min=0;
/**/
m2min=m20-intermod; if(m2min<0) m2min=0;
m2max=m20+1+intermod; if(m2max>ynumy-1) m2max=ynumy-1;
/**/
/* Interpolation weights calc after Fornberg (1996) */
nodewt(m1min,m1max,m2min,m2max,x,y,+1,0);
/**/
/* Vy Interpolate after interpolation weights */
for (m1=m1min;m1<=m1max;m1++)
for (m2=m2min;m2<=m2max;m2++)
{
/* Current node num, wt */
m3=m1*ynumy+m2;
ival=cn[m1-m1min][1]*cn[m2-m2min][0];
eps[12]+=ival*vy[m3]*xrat;
}
/* End Vy interpolation ------------------------ */
/*
fprintf(fp_log,"eps %e %e ",m1,m2,e,n); getchar();
*/
}
/* Calculation of Vx,Vy, EPSxx,EPSyy,EPSxy, SPINxy by Interpolation */
|
3d7pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 16;
tile_size[3] = 2048;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,8);t1++) {
lbp=max(ceild(t1,2),ceild(16*t1-Nt+3,16));
ubp=min(floord(Nt+Nz-4,16),floord(8*t1+Nz+5,16));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(t1-1,2)),ceild(16*t2-Nz-12,16));t3<=min(min(min(floord(Nt+Ny-4,16),floord(8*t1+Ny+13,16)),floord(16*t2+Ny+12,16)),floord(16*t1-16*t2+Nz+Ny+11,16));t3++) {
for (t4=max(max(max(0,ceild(t1-255,256)),ceild(16*t2-Nz-2044,2048)),ceild(16*t3-Ny-2044,2048));t4<=min(min(min(min(floord(Nt+Nx-4,2048),floord(8*t1+Nx+13,2048)),floord(16*t2+Nx+12,2048)),floord(16*t3+Nx+12,2048)),floord(16*t1-16*t2+Nz+Nx+11,2048));t4++) {
for (t5=max(max(max(max(max(0,8*t1),16*t1-16*t2+1),16*t2-Nz+2),16*t3-Ny+2),2048*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,8*t1+15),16*t2+14),16*t3+14),2048*t4+2046),16*t1-16*t2+Nz+13);t5++) {
for (t6=max(max(16*t2,t5+1),-16*t1+16*t2+2*t5-15);t6<=min(min(16*t2+15,-16*t1+16*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(16*t3,t5+1);t7<=min(16*t3+15,t5+Ny-2);t7++) {
lbv=max(2048*t4,t5+1);
ubv=min(2048*t4+2047,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = (((((((coef[0][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (coef[1][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)])) + (coef[2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)])) + (coef[3][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1])) + (coef[4][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)])) + (coef[5][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)])) + (coef[6][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1]));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
dependences_mutexinoutset.c | // RUN: %libomp-compile-and-run | %sort-threads | FileCheck %s
// REQUIRES: ompt
// GCC does not pass in mutexinoutset
// clang 9 introduced codegen for mutexinoutset
// UNSUPPORTED: gcc
// UNSUPPORTED: clang-4, clang-5, clang-6, clang-7, clang-8
#include "callback.h"
#include <omp.h>
#include <math.h>
#include <unistd.h>
int main() {
int x = 0;
#pragma omp parallel num_threads(2)
{
#pragma omp master
{
print_ids(0);
printf("%" PRIu64 ": address of x: %p\n", ompt_get_thread_data()->value,
&x);
#pragma omp task depend(out : x)
{
x++;
delay(100);
}
print_fuzzy_address(1);
print_ids(0);
#pragma omp task depend(mutexinoutset : x)
{
x++;
delay(100);
}
print_fuzzy_address(2);
print_ids(0);
#pragma omp task depend(in : x)
{ x = -1; }
print_ids(0);
}
}
x++;
return 0;
}
// Check if libomp supports the callbacks for this test.
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_task_create'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_dependences'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_task_depende
// CHECK: {{^}}0: NULL_POINTER=[[NULL:.*$]]
// make sure initial data pointers are null
// CHECK-NOT: 0: new_task_data initially not null
// CHECK: {{^}}[[MASTER_ID:[0-9]+]]: ompt_event_implicit_task_begin:
// CHECK-SAME: parallel_id=[[PARALLEL_ID:[0-9]+]],
// CHECK-SAME: task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]],
// CHECK-SAME: task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT:0x[0-f]+]],
// CHECK-SAME: reenter_frame=[[NULL]]
// CHECK: {{^}}[[MASTER_ID]]: address of x: [[ADDRX:0x[0-f]+]]
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create:
// CHECK-SAME: parent_task_id={{[0-9]+}}, parent_task_frame.exit=[[EXIT]],
// CHECK-SAME: parent_task_frame.reenter={{0x[0-f]+}},
// CHECK-SAME: new_task_id=[[FIRST_TASK:[0-f]+]],
// CHECK-SAME: codeptr_ra=[[RETURN_ADDRESS:0x[0-f]+]]{{[0-f][0-f]}},
// CHECK-SAME: task_type=ompt_task_explicit=4, has_dependences=yes
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_dependences:
// CHECK-SAME: task_id=[[FIRST_TASK]], deps=[([[ADDRX]],
// CHECK-SAME: ompt_dependence_type_inout)], ndeps=1
// CHECK: {{^}}[[MASTER_ID]]: fuzzy_address={{.*}}[[RETURN_ADDRESS]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]],
// CHECK-SAME: task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT]],
// CHECK-SAME: reenter_frame=[[NULL]]
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create:
// CHECK-SAME: parent_task_id={{[0-9]+}}, parent_task_frame.exit=[[EXIT]],
// CHECK-SAME: parent_task_frame.reenter={{0x[0-f]+}},
// CHECK-SAME: new_task_id=[[SECOND_TASK:[0-f]+]],
// CHECK-SAME: codeptr_ra=[[RETURN_ADDRESS:0x[0-f]+]]{{[0-f][0-f]}},
// CHECK-SAME: task_type=ompt_task_explicit=4, has_dependences=yes
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_dependences:
// CHECK-SAME: task_id=[[SECOND_TASK]], deps=[([[ADDRX]],
// CHECK-SAME: ompt_dependence_type_mutexinoutset)], ndeps=1
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_dependence_pair:
// CHECK-SAME: first_task_id=[[FIRST_TASK]], second_task_id=[[SECOND_TASK]]
// CHECK: {{^}}[[MASTER_ID]]: fuzzy_address={{.*}}[[RETURN_ADDRESS]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]],
// CHECK-SAME: task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT]],
// CHECK-SAME: reenter_frame=[[NULL]]
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_create:
// CHECK-SAME: parent_task_id={{[0-9]+}}, parent_task_frame.exit=[[EXIT]],
// CHECK-SAME: parent_task_frame.reenter={{0x[0-f]+}},
// CHECK-SAME: new_task_id=[[THIRD_TASK:[0-f]+]], codeptr_ra={{0x[0-f]+}},
// CHECK-SAME: task_type=ompt_task_explicit=4, has_dependences=yes
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_dependences:
// CHECK-SAME: task_id=[[THIRD_TASK]], deps=[([[ADDRX]],
// CHECK-SAME: ompt_dependence_type_in)], ndeps=1
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_task_dependence_pair:
// CHECK-SAME: first_task_id=[[SECOND_TASK]], second_task_id=[[THIRD_TASK]]
// CHECK: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]],
// CHECK-SAME: task_id=[[IMPLICIT_TASK_ID]], exit_frame=[[EXIT]],
// CHECK-SAME: reenter_frame=[[NULL]]
|
bt.c | /*--------------------------------------------------------------------
NAS Parallel Benchmarks 3.0 structured OpenMP C versions - BT
This benchmark is an OpenMP C version of the NPB BT 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: R. Van der Wijngaart
T. Harris
M. Yarrow
OpenMP C version: S. Satoh
3.0 structure translation: M. Popov
--------------------------------------------------------------------*/
#include "../common/npb-C.h"
/* global variables */
#include "header.h"
/* function declarations */
static void add(void);
static void adi(void);
static void error_norm(double rms[5]);
static void rhs_norm(double rms[5]);
static void exact_rhs(void);
static void exact_solution(double xi, double eta, double zeta,
double dtemp[5]);
static void initialize(void);
static void lhsinit(void);
static void lhsx(void);
static void lhsy(void);
static void lhsz(void);
static void compute_rhs(void);
static void set_constants(void);
static void verify(int no_time_steps, char *class, boolean *verified);
static void x_solve(void);
static void x_backsubstitute(void);
static void x_solve_cell(void);
static void matvec_sub(double ablock[5][5], double avec[5], double bvec[5]);
static void matmul_sub(double ablock[5][5], double bblock[5][5],
double cblock[5][5]);
static void binvcrhs(double lhs[5][5], double c[5][5], double r[5]);
static void binvrhs(double lhs[5][5], double r[5]);
static void y_solve(void);
static void y_backsubstitute(void);
static void y_solve_cell(void);
static void z_solve(void);
static void z_backsubstitute(void);
static void z_solve_cell(void);
/*--------------------------------------------------------------------
program BT
c-------------------------------------------------------------------*/
int main(int argc, char **argv) {
int niter, step, n3;
int nthreads = 1;
double navg, mflops;
double tmax;
boolean verified;
char class;
FILE *fp;
/*--------------------------------------------------------------------
c Root node reads input file (if it exists) else takes
c defaults from parameters
c-------------------------------------------------------------------*/
printf("\n\n NAS Parallel Benchmarks 3.0 structured OpenMP C version"
" - BT Benchmark\n\n");
fp = fopen("inputbt.data", "r");
if (fp != NULL) {
printf(" Reading from input file inputbt.data");
fscanf(fp, "%d", &niter);
while (fgetc(fp) != '\n');
fscanf(fp, "%lg", &dt);
while (fgetc(fp) != '\n');
fscanf(fp, "%d%d%d",
&grid_points[0], &grid_points[1], &grid_points[2]);
fclose(fp);
} else {
printf(" No input file inputbt.data. Using compiled defaults\n");
niter = NITER_DEFAULT;
dt = DT_DEFAULT;
grid_points[0] = PROBLEM_SIZE;
grid_points[1] = PROBLEM_SIZE;
grid_points[2] = PROBLEM_SIZE;
}
printf(" Size: %3dx%3dx%3d\n",
grid_points[0], grid_points[1], grid_points[2]);
printf(" Iterations: %3d dt: %10.6f\n", niter, dt);
if (grid_points[0] > IMAX ||
grid_points[1] > JMAX ||
grid_points[2] > KMAX) {
printf(" %dx%dx%d\n", grid_points[0], grid_points[1], grid_points[2]);
printf(" Problem size too big for compiled array sizes\n");
exit(1);
}
set_constants();
initialize();
lhsinit();
exact_rhs();
/*--------------------------------------------------------------------
c do one time step to touch all code, and reinitialize
c-------------------------------------------------------------------*/
adi();
initialize();
timer_clear(1);
timer_start(1);
for (step = 1; step <= niter; step++) {
if (step%20 == 0 || step == 1) {
printf(" Time step %4d\n", step);
}
adi();
}
{
#if defined(_OPENMP)
nthreads = omp_get_num_threads();
#endif /* _OPENMP */
} /* end parallel */
timer_stop(1);
tmax = timer_read(1);
verify(niter, &class, &verified);
n3 = grid_points[0]*grid_points[1]*grid_points[2];
navg = (grid_points[0]+grid_points[1]+grid_points[2])/3.0;
if ( tmax != 0.0 ) {
mflops = 1.0e-6*(double)niter*
(3478.8*(double)n3-17655.7*pow2(navg)+28023.7*navg) / tmax;
} else {
mflops = 0.0;
}
c_print_results("BT", class, grid_points[0],
grid_points[1], grid_points[2], niter, nthreads,
tmax, mflops, " floating point",
verified, NPBVERSION,COMPILETIME, CS1, CS2, CS3, CS4, CS5,
CS6, "(none)");
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void add(void) {
/*--------------------------------------------------------------------
c addition of update to the vector u
c-------------------------------------------------------------------*/
int i, j, k, m;
#pragma omp parallel for private(j ,k ,m ,i )
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for private(j ,k ,m ,i )
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for private(j ,k ,m ,i )
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for private(j ,k ,m ,i )
for (m = 0; m < 5; m++) {
u[i][j][k][m] = u[i][j][k][m] + rhs[i][j][k][m];
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void adi(void) {
compute_rhs();
x_solve();
y_solve();
z_solve();
add();
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void error_norm(double rms[5]) {
/*--------------------------------------------------------------------
c this function computes the norm of the difference between the
c computed solution and the exact solution
c-------------------------------------------------------------------*/
int i, j, k, m, d;
double xi, eta, zeta, u_exact[5], add;
#pragma omp parallel for private(m )
for (m = 0; m < 5; m++) {
rms[m] = 0.0;
}
for (i = 0; i < grid_points[0]; i++) {
xi = (double)i * dnxm1;
for (j = 0; j < grid_points[1]; j++) {
eta = (double)j * dnym1;
for (k = 0; k < grid_points[2]; k++) {
zeta = (double)k * dnzm1;
exact_solution(xi, eta, zeta, u_exact);
#pragma omp parallel for private(add ,m) firstprivate(k ,j ,i )
for (m = 0; m < 5; m++) {
add = u[i][j][k][m] - u_exact[m];
rms[m] = rms[m] + add*add;
}
}
}
}
#pragma omp parallel for private(d ,m )
for (m = 0; m < 5; m++) {
#pragma omp parallel for firstprivate(m )
for (d = 0; d <= 2; d++) {
rms[m] = rms[m] / (double)(grid_points[d]-2);
}
rms[m] = sqrt(rms[m]);
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void rhs_norm(double rms[5]) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
int i, j, k, d, m;
double add;
#pragma omp parallel for private(m )
for (m = 0; m < 5; m++) {
rms[m] = 0.0;
}
for (i = 1; i < grid_points[0]-1; i++) {
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for private(add, m) firstprivate(k ,j ,i )
for (m = 0; m < 5; m++) {
add = rhs[i][j][k][m];
rms[m] = rms[m] + add*add;
}
}
}
}
#pragma omp parallel for private(d ,m )
for (m = 0; m < 5; m++) {
#pragma omp parallel for firstprivate(m )
for (d = 0; d <= 2; d++) {
rms[m] = rms[m] / (double)(grid_points[d]-2);
}
rms[m] = sqrt(rms[m]);
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void exact_rhs(void) {
{
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c compute the right hand side based on exact solution
c-------------------------------------------------------------------*/
double dtemp[5], xi, eta, zeta, dtpp;
int m, i, j, k, ip1, im1, jp1, jm1, km1, kp1;
/*--------------------------------------------------------------------
c initialize
c-------------------------------------------------------------------*/
#pragma omp parallel for private(j ,k ,m ,i )
for (i = 0; i < grid_points[0]; i++) {
#pragma omp parallel for private(j, k, m) firstprivate(i )
for (j = 0; j < grid_points[1]; j++) {
#pragma omp parallel for private(k, m) firstprivate(j ,i )
for (k = 0; k < grid_points[2]; k++) {
#pragma omp parallel for private(j, k, i, m)
for (m = 0; m < 5; m++) {
forcing[i][j][k][m] = 0.0;
}
}
}
}
/*--------------------------------------------------------------------
c xi-direction flux differences
c-------------------------------------------------------------------*/
#pragma omp parallel for private(m, i, k, j)
for (j = 1; j < grid_points[1]-1; j++) {
eta = (double)j * dnym1;
for (k = 1; k < grid_points[2]-1; k++) {
zeta = (double)k * dnzm1;
for (i = 0; i < grid_points[0]; i++) {
xi = (double)i * dnxm1;
exact_solution(xi, eta, zeta, dtemp);
#pragma omp parallel for firstprivate(i ,k ,j ) private(m)
for (m = 0; m < 5; m++) {
ue[i][m] = dtemp[m];
}
dtpp = 1.0 / dtemp[0];
#pragma omp parallel for firstprivate(dtpp ,i ,k ,j ) private(m)
for (m = 1; m <= 4; m++) {
buf[i][m] = dtpp * dtemp[m];
}
cuf[i] = buf[i][1] * buf[i][1];
buf[i][0] = cuf[i] + buf[i][2] * buf[i][2] +
buf[i][3] * buf[i][3];
q[i] = 0.5*(buf[i][1]*ue[i][1] + buf[i][2]*ue[i][2] +
buf[i][3]*ue[i][3]);
}
#pragma omp parallel for private(i) firstprivate(dx1tx1 ,tx2 ,dx2tx1 ,xxcon1 ,c2 ,dx3tx1 ,xxcon2 ,dx4tx1 ,dx5tx1 ,xxcon5 ,xxcon4 ,xxcon3 ,c1 ,k ,j )
for (i = 1; i < grid_points[0]-1; i++) {
im1 = i-1;
ip1 = i+1;
forcing[i][j][k][0] = forcing[i][j][k][0] -
tx2*(ue[ip1][1]-ue[im1][1])+
dx1tx1*(ue[ip1][0]-2.0*ue[i][0]+ue[im1][0]);
forcing[i][j][k][1] = forcing[i][j][k][1] -
tx2 * ((ue[ip1][1]*buf[ip1][1]+c2*(ue[ip1][4]-q[ip1]))-
(ue[im1][1]*buf[im1][1]+c2*(ue[im1][4]-q[im1])))+
xxcon1*(buf[ip1][1]-2.0*buf[i][1]+buf[im1][1])+
dx2tx1*( ue[ip1][1]-2.0* ue[i][1]+ ue[im1][1]);
forcing[i][j][k][2] = forcing[i][j][k][2] -
tx2 * (ue[ip1][2]*buf[ip1][1]-ue[im1][2]*buf[im1][1])+
xxcon2*(buf[ip1][2]-2.0*buf[i][2]+buf[im1][2])+
dx3tx1*( ue[ip1][2]-2.0* ue[i][2]+ ue[im1][2]);
forcing[i][j][k][3] = forcing[i][j][k][3] -
tx2*(ue[ip1][3]*buf[ip1][1]-ue[im1][3]*buf[im1][1])+
xxcon2*(buf[ip1][3]-2.0*buf[i][3]+buf[im1][3])+
dx4tx1*( ue[ip1][3]-2.0* ue[i][3]+ ue[im1][3]);
forcing[i][j][k][4] = forcing[i][j][k][4] -
tx2*(buf[ip1][1]*(c1*ue[ip1][4]-c2*q[ip1])-
buf[im1][1]*(c1*ue[im1][4]-c2*q[im1]))+
0.5*xxcon3*(buf[ip1][0]-2.0*buf[i][0]+buf[im1][0])+
xxcon4*(cuf[ip1]-2.0*cuf[i]+cuf[im1])+
xxcon5*(buf[ip1][4]-2.0*buf[i][4]+buf[im1][4])+
dx5tx1*( ue[ip1][4]-2.0* ue[i][4]+ ue[im1][4]);
}
/*--------------------------------------------------------------------
c Fourth-order dissipation
c-------------------------------------------------------------------*/
#pragma omp parallel for private(m) firstprivate(dssp ,k ,j )
for (m = 0; m < 5; m++) {
i = 1;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(5.0*ue[i][m] - 4.0*ue[i+1][m] +ue[i+2][m]);
i = 2;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(-4.0*ue[i-1][m] + 6.0*ue[i][m] -
4.0*ue[i+1][m] + ue[i+2][m]);
}
#pragma omp parallel for private(m) firstprivate(dssp ,k ,j )
for (m = 0; m < 5; m++) {
#pragma omp parallel for private(i) firstprivate(dssp ,m ,k ,j )
for (i = 1*3; i <= grid_points[0]-3*1-1; i++) {
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp*
(ue[i-2][m] - 4.0*ue[i-1][m] +
6.0*ue[i][m] - 4.0*ue[i+1][m] + ue[i+2][m]);
}
}
#pragma omp parallel for private(m, i) firstprivate(dssp ,k ,j )
for (m = 0; m < 5; m++) {
i = grid_points[0]-3;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(ue[i-2][m] - 4.0*ue[i-1][m] +
6.0*ue[i][m] - 4.0*ue[i+1][m]);
i = grid_points[0]-2;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(ue[i-2][m] - 4.0*ue[i-1][m] + 5.0*ue[i][m]);
}
}
}
/*--------------------------------------------------------------------
c eta-direction flux differences
c-------------------------------------------------------------------*/
#pragma omp parallel for private(m, j, k, i)
for (i = 1; i < grid_points[0]-1; i++) {
xi = (double)i * dnxm1;
for (k = 1; k < grid_points[2]-1; k++) {
zeta = (double)k * dnzm1;
for (j = 0; j < grid_points[1]; j++) {
eta = (double)j * dnym1;
exact_solution(xi, eta, zeta, dtemp);
#pragma omp parallel for private(i, k, j, m)
for (m = 0; m < 5; m++) {
ue[j][m] = dtemp[m];
}
dtpp = 1.0/dtemp[0];
#pragma omp parallel for private(m) firstprivate(dtpp ,j ,k ,i )
for (m = 1; m <= 4; m++) {
buf[j][m] = dtpp * dtemp[m];
}
cuf[j] = buf[j][2] * buf[j][2];
buf[j][0] = cuf[j] + buf[j][1] * buf[j][1] +
buf[j][3] * buf[j][3];
q[j] = 0.5*(buf[j][1]*ue[j][1] + buf[j][2]*ue[j][2] +
buf[j][3]*ue[j][3]);
}
#pragma omp parallel for private(j) firstprivate(dy1ty1 ,ty2 ,dy2ty1 ,yycon2 ,dy3ty1 ,yycon1 ,c2 ,dy4ty1 ,dy5ty1 ,yycon5 ,yycon4 ,yycon3 ,c1 ,k ,i )
for (j = 1; j < grid_points[1]-1; j++) {
jm1 = j-1;
jp1 = j+1;
forcing[i][j][k][0] = forcing[i][j][k][0] -
ty2*( ue[jp1][2]-ue[jm1][2] )+
dy1ty1*(ue[jp1][0]-2.0*ue[j][0]+ue[jm1][0]);
forcing[i][j][k][1] = forcing[i][j][k][1] -
ty2*(ue[jp1][1]*buf[jp1][2]-ue[jm1][1]*buf[jm1][2])+
yycon2*(buf[jp1][1]-2.0*buf[j][1]+buf[jm1][1])+
dy2ty1*( ue[jp1][1]-2.0* ue[j][1]+ ue[jm1][1]);
forcing[i][j][k][2] = forcing[i][j][k][2] -
ty2*((ue[jp1][2]*buf[jp1][2]+c2*(ue[jp1][4]-q[jp1]))-
(ue[jm1][2]*buf[jm1][2]+c2*(ue[jm1][4]-q[jm1])))+
yycon1*(buf[jp1][2]-2.0*buf[j][2]+buf[jm1][2])+
dy3ty1*( ue[jp1][2]-2.0*ue[j][2] +ue[jm1][2]);
forcing[i][j][k][3] = forcing[i][j][k][3] -
ty2*(ue[jp1][3]*buf[jp1][2]-ue[jm1][3]*buf[jm1][2])+
yycon2*(buf[jp1][3]-2.0*buf[j][3]+buf[jm1][3])+
dy4ty1*( ue[jp1][3]-2.0*ue[j][3]+ ue[jm1][3]);
forcing[i][j][k][4] = forcing[i][j][k][4] -
ty2*(buf[jp1][2]*(c1*ue[jp1][4]-c2*q[jp1])-
buf[jm1][2]*(c1*ue[jm1][4]-c2*q[jm1]))+
0.5*yycon3*(buf[jp1][0]-2.0*buf[j][0]+
buf[jm1][0])+
yycon4*(cuf[jp1]-2.0*cuf[j]+cuf[jm1])+
yycon5*(buf[jp1][4]-2.0*buf[j][4]+buf[jm1][4])+
dy5ty1*(ue[jp1][4]-2.0*ue[j][4]+ue[jm1][4]);
}
/*--------------------------------------------------------------------
c Fourth-order dissipation
c-------------------------------------------------------------------*/
#pragma omp parallel for private(m) firstprivate(dssp ,k ,i )
for (m = 0; m < 5; m++) {
j = 1;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(5.0*ue[j][m] - 4.0*ue[j+1][m] +ue[j+2][m]);
j = 2;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(-4.0*ue[j-1][m] + 6.0*ue[j][m] -
4.0*ue[j+1][m] + ue[j+2][m]);
}
#pragma omp parallel for private(m) firstprivate(dssp ,k ,i )
for (m = 0; m < 5; m++) {
#pragma omp parallel for private(j) firstprivate(dssp ,m ,k ,i )
for (j = 1*3; j <= grid_points[1]-3*1-1; j++) {
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp*
(ue[j-2][m] - 4.0*ue[j-1][m] +
6.0*ue[j][m] - 4.0*ue[j+1][m] + ue[j+2][m]);
}
}
#pragma omp parallel for private(m) firstprivate(dssp ,j ,k ,i )
for (m = 0; m < 5; m++) {
j = grid_points[1]-3;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(ue[j-2][m] - 4.0*ue[j-1][m] +
6.0*ue[j][m] - 4.0*ue[j+1][m]);
j = grid_points[1]-2;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(ue[j-2][m] - 4.0*ue[j-1][m] + 5.0*ue[j][m]);
}
}
}
/*--------------------------------------------------------------------
c zeta-direction flux differences
c-------------------------------------------------------------------*/
#pragma omp parallel for
for (i = 1; i < grid_points[0]-1; i++) {
xi = (double)i * dnxm1;
for (j = 1; j < grid_points[1]-1; j++) {
eta = (double)j * dnym1;
for (k = 0; k < grid_points[2]; k++) {
zeta = (double)k * dnzm1;
exact_solution(xi, eta, zeta, dtemp);
#pragma omp parallel for private(m) firstprivate(k , j ,i )
for (m = 0; m < 5; m++) {
ue[k][m] = dtemp[m];
}
dtpp = 1.0/dtemp[0];
#pragma omp parallel for private(m) firstprivate(dtpp ,k ,j ,i )
for (m = 1; m <= 4; m++) {
buf[k][m] = dtpp * dtemp[m];
}
cuf[k] = buf[k][3] * buf[k][3];
buf[k][0] = cuf[k] + buf[k][1] * buf[k][1] +
buf[k][2] * buf[k][2];
q[k] = 0.5*(buf[k][1]*ue[k][1] + buf[k][2]*ue[k][2] +
buf[k][3]*ue[k][3]);
}
#pragma omp parallel for private(k) firstprivate(dz1tz1 ,tz2 ,dz2tz1 ,zzcon2 ,dz3tz1 ,dz4tz1 ,zzcon1 ,c2 ,dz5tz1 ,zzcon5 ,zzcon4 ,zzcon3 ,c1 ,j ,i )
for (k = 1; k < grid_points[2]-1; k++) {
km1 = k-1;
kp1 = k+1;
forcing[i][j][k][0] = forcing[i][j][k][0] -
tz2*( ue[kp1][3]-ue[km1][3] )+
dz1tz1*(ue[kp1][0]-2.0*ue[k][0]+ue[km1][0]);
forcing[i][j][k][1] = forcing[i][j][k][1] -
tz2 * (ue[kp1][1]*buf[kp1][3]-ue[km1][1]*buf[km1][3])+
zzcon2*(buf[kp1][1]-2.0*buf[k][1]+buf[km1][1])+
dz2tz1*( ue[kp1][1]-2.0* ue[k][1]+ ue[km1][1]);
forcing[i][j][k][2] = forcing[i][j][k][2] -
tz2 * (ue[kp1][2]*buf[kp1][3]-ue[km1][2]*buf[km1][3])+
zzcon2*(buf[kp1][2]-2.0*buf[k][2]+buf[km1][2])+
dz3tz1*(ue[kp1][2]-2.0*ue[k][2]+ue[km1][2]);
forcing[i][j][k][3] = forcing[i][j][k][3] -
tz2 * ((ue[kp1][3]*buf[kp1][3]+c2*(ue[kp1][4]-q[kp1]))-
(ue[km1][3]*buf[km1][3]+c2*(ue[km1][4]-q[km1])))+
zzcon1*(buf[kp1][3]-2.0*buf[k][3]+buf[km1][3])+
dz4tz1*( ue[kp1][3]-2.0*ue[k][3] +ue[km1][3]);
forcing[i][j][k][4] = forcing[i][j][k][4] -
tz2 * (buf[kp1][3]*(c1*ue[kp1][4]-c2*q[kp1])-
buf[km1][3]*(c1*ue[km1][4]-c2*q[km1]))+
0.5*zzcon3*(buf[kp1][0]-2.0*buf[k][0]
+buf[km1][0])+
zzcon4*(cuf[kp1]-2.0*cuf[k]+cuf[km1])+
zzcon5*(buf[kp1][4]-2.0*buf[k][4]+buf[km1][4])+
dz5tz1*( ue[kp1][4]-2.0*ue[k][4]+ ue[km1][4]);
}
/*--------------------------------------------------------------------
c Fourth-order dissipation
c-------------------------------------------------------------------*/
#pragma omp parallel for private(m) firstprivate(dssp ,j ,i )
for (m = 0; m < 5; m++) {
k = 1;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(5.0*ue[k][m] - 4.0*ue[k+1][m] +ue[k+2][m]);
k = 2;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(-4.0*ue[k-1][m] + 6.0*ue[k][m] -
4.0*ue[k+1][m] + ue[k+2][m]);
}
#pragma omp parallel for private(m) firstprivate(dssp ,j ,i )
for (m = 0; m < 5; m++) {
#pragma omp parallel for private(k) firstprivate(dssp ,m ,j ,i )
for (k = 1*3; k <= grid_points[2]-3*1-1; k++) {
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp*
(ue[k-2][m] - 4.0*ue[k-1][m] +
6.0*ue[k][m] - 4.0*ue[k+1][m] + ue[k+2][m]);
}
}
#pragma omp parallel for private(m) firstprivate(dssp ,k ,j ,i )
for (m = 0; m < 5; m++) {
k = grid_points[2]-3;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(ue[k-2][m] - 4.0*ue[k-1][m] +
6.0*ue[k][m] - 4.0*ue[k+1][m]);
k = grid_points[2]-2;
forcing[i][j][k][m] = forcing[i][j][k][m] - dssp *
(ue[k-2][m] - 4.0*ue[k-1][m] + 5.0*ue[k][m]);
}
}
}
/*--------------------------------------------------------------------
c now change the sign of the forcing function,
c-------------------------------------------------------------------*/
#pragma omp parallel for private(i) firstprivate(j ,k ,m )
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for private(j) firstprivate(k ,m ,i )
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for private(k) firstprivate(j ,m ,i )
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for private(m) firstprivate(j ,k ,i )
for (m = 0; m < 5; m++) {
forcing[i][j][k][m] = -1.0 * forcing[i][j][k][m];
}
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void exact_solution(double xi, double eta, double zeta,
double dtemp[5]) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c this function returns the exact solution at point xi, eta, zeta
c-------------------------------------------------------------------*/
int m;
#pragma omp parallel for private(m) firstprivate(zeta ,eta ,xi ,dtemp)
for (m = 0; m < 5; m++) {
dtemp[m] = ce[m][0] +
xi*(ce[m][1] + xi*(ce[m][4] + xi*(ce[m][7]
+ xi*ce[m][10]))) +
eta*(ce[m][2] + eta*(ce[m][5] + eta*(ce[m][8]
+ eta*ce[m][11])))+
zeta*(ce[m][3] + zeta*(ce[m][6] + zeta*(ce[m][9] +
zeta*ce[m][12])));
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void initialize(void) {
{
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c This subroutine initializes the field variable u using
c tri-linear transfinite interpolation of the boundary values
c-------------------------------------------------------------------*/
int i, j, k, m, ix, iy, iz;
double xi, eta, zeta, Pface[2][3][5], Pxi, Peta, Pzeta, temp[5];
/*--------------------------------------------------------------------
c Later (in compute_rhs) we compute 1/u for every element. A few of
c the corner elements are not used, but it convenient (and faster)
c to compute the whole thing with a simple loop. Make sure those
c values are nonzero by initializing the whole thing here.
c-------------------------------------------------------------------*/
#pragma omp parallel for private(i) firstprivate(j ,k ,m)
for (i = 0; i < IMAX; i++) {
#pragma omp parallel for private(j) firstprivate(k ,m ,i)
for (j = 0; j < IMAX; j++) {
#pragma omp parallel for private(k) firstprivate(j ,m ,i )
for (k = 0; k < IMAX; k++) {
#pragma omp parallel for private(m) firstprivate(j ,k ,i )
for (m = 0; m < 5; m++) {
u[i][j][k][m] = 1.0;
}
}
}
}
/*--------------------------------------------------------------------
c first store the "interpolated" values everywhere on the grid
c-------------------------------------------------------------------*/
for (i = 0; i < grid_points[0]; i++) {
xi = (double)i * dnxm1;
for (j = 0; j < grid_points[1]; j++) {
eta = (double)j * dnym1;
for (k = 0; k < grid_points[2]; k++) {
zeta = (double)k * dnzm1;
#pragma omp parallel for private(ix)
for (ix = 0; ix < 2; ix++) {
exact_solution((double)ix, eta, zeta,
&(Pface[ix][0][0]));
}
for (iy = 0; iy < 2; iy++) {
exact_solution(xi, (double)iy , zeta,
&Pface[iy][1][0]);
}
for (iz = 0; iz < 2; iz++) {
exact_solution(xi, eta, (double)iz,
&Pface[iz][2][0]);
}
#pragma omp parallel for
for (m = 0; m < 5; m++) {
Pxi = xi * Pface[1][0][m] +
(1.0-xi) * Pface[0][0][m];
Peta = eta * Pface[1][1][m] +
(1.0-eta) * Pface[0][1][m];
Pzeta = zeta * Pface[1][2][m] +
(1.0-zeta) * Pface[0][2][m];
u[i][j][k][m] = Pxi + Peta + Pzeta -
Pxi*Peta - Pxi*Pzeta - Peta*Pzeta +
Pxi*Peta*Pzeta;
}
}
}
}
/*--------------------------------------------------------------------
c now store the exact values on the boundaries
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c west face
c-------------------------------------------------------------------*/
i = 0;
xi = 0.0;
for (j = 0; j < grid_points[1]; j++) {
eta = (double)j * dnym1;
for (k = 0; k < grid_points[2]; k++) {
zeta = (double)k * dnzm1;
exact_solution(xi, eta, zeta, temp);
#pragma omp parallel for
for (m = 0; m < 5; m++) {
u[i][j][k][m] = temp[m];
}
}
}
/*--------------------------------------------------------------------
c east face
c-------------------------------------------------------------------*/
i = grid_points[0]-1;
xi = 1.0;
for (j = 0; j < grid_points[1]; j++) {
eta = (double)j * dnym1;
for (k = 0; k < grid_points[2]; k++) {
zeta = (double)k * dnzm1;
exact_solution(xi, eta, zeta, temp);
#pragma omp parallel for
for (m = 0; m < 5; m++) {
u[i][j][k][m] = temp[m];
}
}
}
/*--------------------------------------------------------------------
c south face
c-------------------------------------------------------------------*/
j = 0;
eta = 0.0;
for (i = 0; i < grid_points[0]; i++) {
xi = (double)i * dnxm1;
for (k = 0; k < grid_points[2]; k++) {
zeta = (double)k * dnzm1;
exact_solution(xi, eta, zeta, temp);
#pragma omp parallel for
for (m = 0; m < 5; m++) {
u[i][j][k][m] = temp[m];
}
}
}
/*--------------------------------------------------------------------
c north face
c-------------------------------------------------------------------*/
j = grid_points[1]-1;
eta = 1.0;
for (i = 0; i < grid_points[0]; i++) {
xi = (double)i * dnxm1;
for (k = 0; k < grid_points[2]; k++) {
zeta = (double)k * dnzm1;
exact_solution(xi, eta, zeta, temp);
#pragma omp parallel for
for (m = 0; m < 5; m++) {
u[i][j][k][m] = temp[m];
}
}
}
/*--------------------------------------------------------------------
c bottom face
c-------------------------------------------------------------------*/
k = 0;
zeta = 0.0;
for (i = 0; i < grid_points[0]; i++) {
xi = (double)i *dnxm1;
for (j = 0; j < grid_points[1]; j++) {
eta = (double)j * dnym1;
exact_solution(xi, eta, zeta, temp);
for (m = 0; m < 5; m++) {
u[i][j][k][m] = temp[m];
}
}
}
/*--------------------------------------------------------------------
c top face
c-------------------------------------------------------------------*/
k = grid_points[2]-1;
zeta = 1.0;
for (i = 0; i < grid_points[0]; i++) {
xi = (double)i * dnxm1;
for (j = 0; j < grid_points[1]; j++) {
eta = (double)j * dnym1;
exact_solution(xi, eta, zeta, temp);
for (m = 0; m < 5; m++) {
u[i][j][k][m] = temp[m];
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void lhsinit(void) {
{
int i, j, k, m, n;
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c zero the whole left hand side for starters
c-------------------------------------------------------------------*/
#pragma omp parallel for
for (i = 0; i < grid_points[0]; i++) {
#pragma omp parallel for
for (j = 0; j < grid_points[1]; j++) {
#pragma omp parallel for
for (k = 0; k < grid_points[2]; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
#pragma omp parallel for
for (n = 0; n < 5; n++) {
lhs[i][j][k][0][m][n] = 0.0;
lhs[i][j][k][1][m][n] = 0.0;
lhs[i][j][k][2][m][n] = 0.0;
}
}
}
}
}
/*--------------------------------------------------------------------
c next, set all diagonal values to 1. This is overkill, but convenient
c-------------------------------------------------------------------*/
#pragma omp parallel for
for (i = 0; i < grid_points[0]; i++) {
#pragma omp parallel for
for (j = 0; j < grid_points[1]; j++) {
#pragma omp parallel for
for (k = 0; k < grid_points[2]; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
lhs[i][j][k][1][m][m] = 1.0;
}
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void lhsx(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c This function computes the left hand side in the xi-direction
c-------------------------------------------------------------------*/
int i, j, k;
/*--------------------------------------------------------------------
c determine a (labeled f) and n jacobians
c-------------------------------------------------------------------*/
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (i = 0; i < grid_points[0]; i++) {
tmp1 = 1.0 / u[i][j][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
/*--------------------------------------------------------------------
c
c-------------------------------------------------------------------*/
fjac[ i][ j][ k][0][0] = 0.0;
fjac[ i][ j][ k][0][1] = 1.0;
fjac[ i][ j][ k][0][2] = 0.0;
fjac[ i][ j][ k][0][3] = 0.0;
fjac[ i][ j][ k][0][4] = 0.0;
fjac[ i][ j][ k][1][0] = -(u[i][j][k][1] * tmp2 *
u[i][j][k][1])
+ c2 * 0.50 * (u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] ) * tmp2;
fjac[i][j][k][1][1] = ( 2.0 - c2 )
* ( u[i][j][k][1] / u[i][j][k][0] );
fjac[i][j][k][1][2] = - c2 * ( u[i][j][k][2] * tmp1 );
fjac[i][j][k][1][3] = - c2 * ( u[i][j][k][3] * tmp1 );
fjac[i][j][k][1][4] = c2;
fjac[i][j][k][2][0] = - ( u[i][j][k][1]*u[i][j][k][2] ) * tmp2;
fjac[i][j][k][2][1] = u[i][j][k][2] * tmp1;
fjac[i][j][k][2][2] = u[i][j][k][1] * tmp1;
fjac[i][j][k][2][3] = 0.0;
fjac[i][j][k][2][4] = 0.0;
fjac[i][j][k][3][0] = - ( u[i][j][k][1]*u[i][j][k][3] ) * tmp2;
fjac[i][j][k][3][1] = u[i][j][k][3] * tmp1;
fjac[i][j][k][3][2] = 0.0;
fjac[i][j][k][3][3] = u[i][j][k][1] * tmp1;
fjac[i][j][k][3][4] = 0.0;
fjac[i][j][k][4][0] = ( c2 * ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] ) * tmp2
- c1 * ( u[i][j][k][4] * tmp1 ) )
* ( u[i][j][k][1] * tmp1 );
fjac[i][j][k][4][1] = c1 * u[i][j][k][4] * tmp1
- 0.50 * c2
* ( 3.0*u[i][j][k][1]*u[i][j][k][1]
+ u[i][j][k][2]*u[i][j][k][2]
+ u[i][j][k][3]*u[i][j][k][3] ) * tmp2;
fjac[i][j][k][4][2] = - c2 * ( u[i][j][k][2]*u[i][j][k][1] )
* tmp2;
fjac[i][j][k][4][3] = - c2 * ( u[i][j][k][3]*u[i][j][k][1] )
* tmp2;
fjac[i][j][k][4][4] = c1 * ( u[i][j][k][1] * tmp1 );
njac[i][j][k][0][0] = 0.0;
njac[i][j][k][0][1] = 0.0;
njac[i][j][k][0][2] = 0.0;
njac[i][j][k][0][3] = 0.0;
njac[i][j][k][0][4] = 0.0;
njac[i][j][k][1][0] = - con43 * c3c4 * tmp2 * u[i][j][k][1];
njac[i][j][k][1][1] = con43 * c3c4 * tmp1;
njac[i][j][k][1][2] = 0.0;
njac[i][j][k][1][3] = 0.0;
njac[i][j][k][1][4] = 0.0;
njac[i][j][k][2][0] = - c3c4 * tmp2 * u[i][j][k][2];
njac[i][j][k][2][1] = 0.0;
njac[i][j][k][2][2] = c3c4 * tmp1;
njac[i][j][k][2][3] = 0.0;
njac[i][j][k][2][4] = 0.0;
njac[i][j][k][3][0] = - c3c4 * tmp2 * u[i][j][k][3];
njac[i][j][k][3][1] = 0.0;
njac[i][j][k][3][2] = 0.0;
njac[i][j][k][3][3] = c3c4 * tmp1;
njac[i][j][k][3][4] = 0.0;
njac[i][j][k][4][0] = - ( con43 * c3c4
- c1345 ) * tmp3 * (pow2(u[i][j][k][1]))
- ( c3c4 - c1345 ) * tmp3 * (pow2(u[i][j][k][2]))
- ( c3c4 - c1345 ) * tmp3 * (pow2(u[i][j][k][3]))
- c1345 * tmp2 * u[i][j][k][4];
njac[i][j][k][4][1] = ( con43 * c3c4
- c1345 ) * tmp2 * u[i][j][k][1];
njac[i][j][k][4][2] = ( c3c4 - c1345 ) * tmp2 * u[i][j][k][2];
njac[i][j][k][4][3] = ( c3c4 - c1345 ) * tmp2 * u[i][j][k][3];
njac[i][j][k][4][4] = ( c1345 ) * tmp1;
}
/*--------------------------------------------------------------------
c now jacobians set, so form left hand side in x direction
c-------------------------------------------------------------------*/
#pragma omp parallel for
for (i = 1; i < grid_points[0]-1; i++) {
tmp1 = dt * tx1;
tmp2 = dt * tx2;
lhs[i][j][k][AA][0][0] = - tmp2 * fjac[i-1][j][k][0][0]
- tmp1 * njac[i-1][j][k][0][0]
- tmp1 * dx1;
lhs[i][j][k][AA][0][1] = - tmp2 * fjac[i-1][j][k][0][1]
- tmp1 * njac[i-1][j][k][0][1];
lhs[i][j][k][AA][0][2] = - tmp2 * fjac[i-1][j][k][0][2]
- tmp1 * njac[i-1][j][k][0][2];
lhs[i][j][k][AA][0][3] = - tmp2 * fjac[i-1][j][k][0][3]
- tmp1 * njac[i-1][j][k][0][3];
lhs[i][j][k][AA][0][4] = - tmp2 * fjac[i-1][j][k][0][4]
- tmp1 * njac[i-1][j][k][0][4];
lhs[i][j][k][AA][1][0] = - tmp2 * fjac[i-1][j][k][1][0]
- tmp1 * njac[i-1][j][k][1][0];
lhs[i][j][k][AA][1][1] = - tmp2 * fjac[i-1][j][k][1][1]
- tmp1 * njac[i-1][j][k][1][1]
- tmp1 * dx2;
lhs[i][j][k][AA][1][2] = - tmp2 * fjac[i-1][j][k][1][2]
- tmp1 * njac[i-1][j][k][1][2];
lhs[i][j][k][AA][1][3] = - tmp2 * fjac[i-1][j][k][1][3]
- tmp1 * njac[i-1][j][k][1][3];
lhs[i][j][k][AA][1][4] = - tmp2 * fjac[i-1][j][k][1][4]
- tmp1 * njac[i-1][j][k][1][4];
lhs[i][j][k][AA][2][0] = - tmp2 * fjac[i-1][j][k][2][0]
- tmp1 * njac[i-1][j][k][2][0];
lhs[i][j][k][AA][2][1] = - tmp2 * fjac[i-1][j][k][2][1]
- tmp1 * njac[i-1][j][k][2][1];
lhs[i][j][k][AA][2][2] = - tmp2 * fjac[i-1][j][k][2][2]
- tmp1 * njac[i-1][j][k][2][2]
- tmp1 * dx3;
lhs[i][j][k][AA][2][3] = - tmp2 * fjac[i-1][j][k][2][3]
- tmp1 * njac[i-1][j][k][2][3];
lhs[i][j][k][AA][2][4] = - tmp2 * fjac[i-1][j][k][2][4]
- tmp1 * njac[i-1][j][k][2][4];
lhs[i][j][k][AA][3][0] = - tmp2 * fjac[i-1][j][k][3][0]
- tmp1 * njac[i-1][j][k][3][0];
lhs[i][j][k][AA][3][1] = - tmp2 * fjac[i-1][j][k][3][1]
- tmp1 * njac[i-1][j][k][3][1];
lhs[i][j][k][AA][3][2] = - tmp2 * fjac[i-1][j][k][3][2]
- tmp1 * njac[i-1][j][k][3][2];
lhs[i][j][k][AA][3][3] = - tmp2 * fjac[i-1][j][k][3][3]
- tmp1 * njac[i-1][j][k][3][3]
- tmp1 * dx4;
lhs[i][j][k][AA][3][4] = - tmp2 * fjac[i-1][j][k][3][4]
- tmp1 * njac[i-1][j][k][3][4];
lhs[i][j][k][AA][4][0] = - tmp2 * fjac[i-1][j][k][4][0]
- tmp1 * njac[i-1][j][k][4][0];
lhs[i][j][k][AA][4][1] = - tmp2 * fjac[i-1][j][k][4][1]
- tmp1 * njac[i-1][j][k][4][1];
lhs[i][j][k][AA][4][2] = - tmp2 * fjac[i-1][j][k][4][2]
- tmp1 * njac[i-1][j][k][4][2];
lhs[i][j][k][AA][4][3] = - tmp2 * fjac[i-1][j][k][4][3]
- tmp1 * njac[i-1][j][k][4][3];
lhs[i][j][k][AA][4][4] = - tmp2 * fjac[i-1][j][k][4][4]
- tmp1 * njac[i-1][j][k][4][4]
- tmp1 * dx5;
lhs[i][j][k][BB][0][0] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][0][0]
+ tmp1 * 2.0 * dx1;
lhs[i][j][k][BB][0][1] = tmp1 * 2.0 * njac[i][j][k][0][1];
lhs[i][j][k][BB][0][2] = tmp1 * 2.0 * njac[i][j][k][0][2];
lhs[i][j][k][BB][0][3] = tmp1 * 2.0 * njac[i][j][k][0][3];
lhs[i][j][k][BB][0][4] = tmp1 * 2.0 * njac[i][j][k][0][4];
lhs[i][j][k][BB][1][0] = tmp1 * 2.0 * njac[i][j][k][1][0];
lhs[i][j][k][BB][1][1] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][1][1]
+ tmp1 * 2.0 * dx2;
lhs[i][j][k][BB][1][2] = tmp1 * 2.0 * njac[i][j][k][1][2];
lhs[i][j][k][BB][1][3] = tmp1 * 2.0 * njac[i][j][k][1][3];
lhs[i][j][k][BB][1][4] = tmp1 * 2.0 * njac[i][j][k][1][4];
lhs[i][j][k][BB][2][0] = tmp1 * 2.0 * njac[i][j][k][2][0];
lhs[i][j][k][BB][2][1] = tmp1 * 2.0 * njac[i][j][k][2][1];
lhs[i][j][k][BB][2][2] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][2][2]
+ tmp1 * 2.0 * dx3;
lhs[i][j][k][BB][2][3] = tmp1 * 2.0 * njac[i][j][k][2][3];
lhs[i][j][k][BB][2][4] = tmp1 * 2.0 * njac[i][j][k][2][4];
lhs[i][j][k][BB][3][0] = tmp1 * 2.0 * njac[i][j][k][3][0];
lhs[i][j][k][BB][3][1] = tmp1 * 2.0 * njac[i][j][k][3][1];
lhs[i][j][k][BB][3][2] = tmp1 * 2.0 * njac[i][j][k][3][2];
lhs[i][j][k][BB][3][3] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][3][3]
+ tmp1 * 2.0 * dx4;
lhs[i][j][k][BB][3][4] = tmp1 * 2.0 * njac[i][j][k][3][4];
lhs[i][j][k][BB][4][0] = tmp1 * 2.0 * njac[i][j][k][4][0];
lhs[i][j][k][BB][4][1] = tmp1 * 2.0 * njac[i][j][k][4][1];
lhs[i][j][k][BB][4][2] = tmp1 * 2.0 * njac[i][j][k][4][2];
lhs[i][j][k][BB][4][3] = tmp1 * 2.0 * njac[i][j][k][4][3];
lhs[i][j][k][BB][4][4] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][4][4]
+ tmp1 * 2.0 * dx5;
lhs[i][j][k][CC][0][0] = tmp2 * fjac[i+1][j][k][0][0]
- tmp1 * njac[i+1][j][k][0][0]
- tmp1 * dx1;
lhs[i][j][k][CC][0][1] = tmp2 * fjac[i+1][j][k][0][1]
- tmp1 * njac[i+1][j][k][0][1];
lhs[i][j][k][CC][0][2] = tmp2 * fjac[i+1][j][k][0][2]
- tmp1 * njac[i+1][j][k][0][2];
lhs[i][j][k][CC][0][3] = tmp2 * fjac[i+1][j][k][0][3]
- tmp1 * njac[i+1][j][k][0][3];
lhs[i][j][k][CC][0][4] = tmp2 * fjac[i+1][j][k][0][4]
- tmp1 * njac[i+1][j][k][0][4];
lhs[i][j][k][CC][1][0] = tmp2 * fjac[i+1][j][k][1][0]
- tmp1 * njac[i+1][j][k][1][0];
lhs[i][j][k][CC][1][1] = tmp2 * fjac[i+1][j][k][1][1]
- tmp1 * njac[i+1][j][k][1][1]
- tmp1 * dx2;
lhs[i][j][k][CC][1][2] = tmp2 * fjac[i+1][j][k][1][2]
- tmp1 * njac[i+1][j][k][1][2];
lhs[i][j][k][CC][1][3] = tmp2 * fjac[i+1][j][k][1][3]
- tmp1 * njac[i+1][j][k][1][3];
lhs[i][j][k][CC][1][4] = tmp2 * fjac[i+1][j][k][1][4]
- tmp1 * njac[i+1][j][k][1][4];
lhs[i][j][k][CC][2][0] = tmp2 * fjac[i+1][j][k][2][0]
- tmp1 * njac[i+1][j][k][2][0];
lhs[i][j][k][CC][2][1] = tmp2 * fjac[i+1][j][k][2][1]
- tmp1 * njac[i+1][j][k][2][1];
lhs[i][j][k][CC][2][2] = tmp2 * fjac[i+1][j][k][2][2]
- tmp1 * njac[i+1][j][k][2][2]
- tmp1 * dx3;
lhs[i][j][k][CC][2][3] = tmp2 * fjac[i+1][j][k][2][3]
- tmp1 * njac[i+1][j][k][2][3];
lhs[i][j][k][CC][2][4] = tmp2 * fjac[i+1][j][k][2][4]
- tmp1 * njac[i+1][j][k][2][4];
lhs[i][j][k][CC][3][0] = tmp2 * fjac[i+1][j][k][3][0]
- tmp1 * njac[i+1][j][k][3][0];
lhs[i][j][k][CC][3][1] = tmp2 * fjac[i+1][j][k][3][1]
- tmp1 * njac[i+1][j][k][3][1];
lhs[i][j][k][CC][3][2] = tmp2 * fjac[i+1][j][k][3][2]
- tmp1 * njac[i+1][j][k][3][2];
lhs[i][j][k][CC][3][3] = tmp2 * fjac[i+1][j][k][3][3]
- tmp1 * njac[i+1][j][k][3][3]
- tmp1 * dx4;
lhs[i][j][k][CC][3][4] = tmp2 * fjac[i+1][j][k][3][4]
- tmp1 * njac[i+1][j][k][3][4];
lhs[i][j][k][CC][4][0] = tmp2 * fjac[i+1][j][k][4][0]
- tmp1 * njac[i+1][j][k][4][0];
lhs[i][j][k][CC][4][1] = tmp2 * fjac[i+1][j][k][4][1]
- tmp1 * njac[i+1][j][k][4][1];
lhs[i][j][k][CC][4][2] = tmp2 * fjac[i+1][j][k][4][2]
- tmp1 * njac[i+1][j][k][4][2];
lhs[i][j][k][CC][4][3] = tmp2 * fjac[i+1][j][k][4][3]
- tmp1 * njac[i+1][j][k][4][3];
lhs[i][j][k][CC][4][4] = tmp2 * fjac[i+1][j][k][4][4]
- tmp1 * njac[i+1][j][k][4][4]
- tmp1 * dx5;
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void lhsy(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c This function computes the left hand side for the three y-factors
c-------------------------------------------------------------------*/
int i, j, k;
/*--------------------------------------------------------------------
c Compute the indices for storing the tri-diagonal matrix;
c determine a (labeled f) and n jacobians for cell c
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (j = 0; j < grid_points[1]; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
tmp1 = 1.0 / u[i][j][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
fjac[ i][ j][ k][0][0] = 0.0;
fjac[ i][ j][ k][0][1] = 0.0;
fjac[ i][ j][ k][0][2] = 1.0;
fjac[ i][ j][ k][0][3] = 0.0;
fjac[ i][ j][ k][0][4] = 0.0;
fjac[i][j][k][1][0] = - ( u[i][j][k][1]*u[i][j][k][2] )
* tmp2;
fjac[i][j][k][1][1] = u[i][j][k][2] * tmp1;
fjac[i][j][k][1][2] = u[i][j][k][1] * tmp1;
fjac[i][j][k][1][3] = 0.0;
fjac[i][j][k][1][4] = 0.0;
fjac[i][j][k][2][0] = - ( u[i][j][k][2]*u[i][j][k][2]*tmp2)
+ 0.50 * c2 * ( ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] )
* tmp2 );
fjac[i][j][k][2][1] = - c2 * u[i][j][k][1] * tmp1;
fjac[i][j][k][2][2] = ( 2.0 - c2 )
* u[i][j][k][2] * tmp1;
fjac[i][j][k][2][3] = - c2 * u[i][j][k][3] * tmp1;
fjac[i][j][k][2][4] = c2;
fjac[i][j][k][3][0] = - ( u[i][j][k][2]*u[i][j][k][3] )
* tmp2;
fjac[i][j][k][3][1] = 0.0;
fjac[i][j][k][3][2] = u[i][j][k][3] * tmp1;
fjac[i][j][k][3][3] = u[i][j][k][2] * tmp1;
fjac[i][j][k][3][4] = 0.0;
fjac[i][j][k][4][0] = ( c2 * ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] )
* tmp2
- c1 * u[i][j][k][4] * tmp1 )
* u[i][j][k][2] * tmp1;
fjac[i][j][k][4][1] = - c2 * u[i][j][k][1]*u[i][j][k][2]
* tmp2;
fjac[i][j][k][4][2] = c1 * u[i][j][k][4] * tmp1
- 0.50 * c2
* ( ( u[i][j][k][1]*u[i][j][k][1]
+ 3.0 * u[i][j][k][2]*u[i][j][k][2]
+ u[i][j][k][3]*u[i][j][k][3] )
* tmp2 );
fjac[i][j][k][4][3] = - c2 * ( u[i][j][k][2]*u[i][j][k][3] )
* tmp2;
fjac[i][j][k][4][4] = c1 * u[i][j][k][2] * tmp1;
njac[i][j][k][0][0] = 0.0;
njac[i][j][k][0][1] = 0.0;
njac[i][j][k][0][2] = 0.0;
njac[i][j][k][0][3] = 0.0;
njac[i][j][k][0][4] = 0.0;
njac[i][j][k][1][0] = - c3c4 * tmp2 * u[i][j][k][1];
njac[i][j][k][1][1] = c3c4 * tmp1;
njac[i][j][k][1][2] = 0.0;
njac[i][j][k][1][3] = 0.0;
njac[i][j][k][1][4] = 0.0;
njac[i][j][k][2][0] = - con43 * c3c4 * tmp2 * u[i][j][k][2];
njac[i][j][k][2][1] = 0.0;
njac[i][j][k][2][2] = con43 * c3c4 * tmp1;
njac[i][j][k][2][3] = 0.0;
njac[i][j][k][2][4] = 0.0;
njac[i][j][k][3][0] = - c3c4 * tmp2 * u[i][j][k][3];
njac[i][j][k][3][1] = 0.0;
njac[i][j][k][3][2] = 0.0;
njac[i][j][k][3][3] = c3c4 * tmp1;
njac[i][j][k][3][4] = 0.0;
njac[i][j][k][4][0] = - ( c3c4
- c1345 ) * tmp3 * (pow2(u[i][j][k][1]))
- ( con43 * c3c4
- c1345 ) * tmp3 * (pow2(u[i][j][k][2]))
- ( c3c4 - c1345 ) * tmp3 * (pow2(u[i][j][k][3]))
- c1345 * tmp2 * u[i][j][k][4];
njac[i][j][k][4][1] = ( c3c4 - c1345 ) * tmp2 * u[i][j][k][1];
njac[i][j][k][4][2] = ( con43 * c3c4
- c1345 ) * tmp2 * u[i][j][k][2];
njac[i][j][k][4][3] = ( c3c4 - c1345 ) * tmp2 * u[i][j][k][3];
njac[i][j][k][4][4] = ( c1345 ) * tmp1;
}
}
}
/*--------------------------------------------------------------------
c now joacobians set, so form left hand side in y direction
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
tmp1 = dt * ty1;
tmp2 = dt * ty2;
lhs[i][j][k][AA][0][0] = - tmp2 * fjac[i][j-1][k][0][0]
- tmp1 * njac[i][j-1][k][0][0]
- tmp1 * dy1;
lhs[i][j][k][AA][0][1] = - tmp2 * fjac[i][j-1][k][0][1]
- tmp1 * njac[i][j-1][k][0][1];
lhs[i][j][k][AA][0][2] = - tmp2 * fjac[i][j-1][k][0][2]
- tmp1 * njac[i][j-1][k][0][2];
lhs[i][j][k][AA][0][3] = - tmp2 * fjac[i][j-1][k][0][3]
- tmp1 * njac[i][j-1][k][0][3];
lhs[i][j][k][AA][0][4] = - tmp2 * fjac[i][j-1][k][0][4]
- tmp1 * njac[i][j-1][k][0][4];
lhs[i][j][k][AA][1][0] = - tmp2 * fjac[i][j-1][k][1][0]
- tmp1 * njac[i][j-1][k][1][0];
lhs[i][j][k][AA][1][1] = - tmp2 * fjac[i][j-1][k][1][1]
- tmp1 * njac[i][j-1][k][1][1]
- tmp1 * dy2;
lhs[i][j][k][AA][1][2] = - tmp2 * fjac[i][j-1][k][1][2]
- tmp1 * njac[i][j-1][k][1][2];
lhs[i][j][k][AA][1][3] = - tmp2 * fjac[i][j-1][k][1][3]
- tmp1 * njac[i][j-1][k][1][3];
lhs[i][j][k][AA][1][4] = - tmp2 * fjac[i][j-1][k][1][4]
- tmp1 * njac[i][j-1][k][1][4];
lhs[i][j][k][AA][2][0] = - tmp2 * fjac[i][j-1][k][2][0]
- tmp1 * njac[i][j-1][k][2][0];
lhs[i][j][k][AA][2][1] = - tmp2 * fjac[i][j-1][k][2][1]
- tmp1 * njac[i][j-1][k][2][1];
lhs[i][j][k][AA][2][2] = - tmp2 * fjac[i][j-1][k][2][2]
- tmp1 * njac[i][j-1][k][2][2]
- tmp1 * dy3;
lhs[i][j][k][AA][2][3] = - tmp2 * fjac[i][j-1][k][2][3]
- tmp1 * njac[i][j-1][k][2][3];
lhs[i][j][k][AA][2][4] = - tmp2 * fjac[i][j-1][k][2][4]
- tmp1 * njac[i][j-1][k][2][4];
lhs[i][j][k][AA][3][0] = - tmp2 * fjac[i][j-1][k][3][0]
- tmp1 * njac[i][j-1][k][3][0];
lhs[i][j][k][AA][3][1] = - tmp2 * fjac[i][j-1][k][3][1]
- tmp1 * njac[i][j-1][k][3][1];
lhs[i][j][k][AA][3][2] = - tmp2 * fjac[i][j-1][k][3][2]
- tmp1 * njac[i][j-1][k][3][2];
lhs[i][j][k][AA][3][3] = - tmp2 * fjac[i][j-1][k][3][3]
- tmp1 * njac[i][j-1][k][3][3]
- tmp1 * dy4;
lhs[i][j][k][AA][3][4] = - tmp2 * fjac[i][j-1][k][3][4]
- tmp1 * njac[i][j-1][k][3][4];
lhs[i][j][k][AA][4][0] = - tmp2 * fjac[i][j-1][k][4][0]
- tmp1 * njac[i][j-1][k][4][0];
lhs[i][j][k][AA][4][1] = - tmp2 * fjac[i][j-1][k][4][1]
- tmp1 * njac[i][j-1][k][4][1];
lhs[i][j][k][AA][4][2] = - tmp2 * fjac[i][j-1][k][4][2]
- tmp1 * njac[i][j-1][k][4][2];
lhs[i][j][k][AA][4][3] = - tmp2 * fjac[i][j-1][k][4][3]
- tmp1 * njac[i][j-1][k][4][3];
lhs[i][j][k][AA][4][4] = - tmp2 * fjac[i][j-1][k][4][4]
- tmp1 * njac[i][j-1][k][4][4]
- tmp1 * dy5;
lhs[i][j][k][BB][0][0] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][0][0]
+ tmp1 * 2.0 * dy1;
lhs[i][j][k][BB][0][1] = tmp1 * 2.0 * njac[i][j][k][0][1];
lhs[i][j][k][BB][0][2] = tmp1 * 2.0 * njac[i][j][k][0][2];
lhs[i][j][k][BB][0][3] = tmp1 * 2.0 * njac[i][j][k][0][3];
lhs[i][j][k][BB][0][4] = tmp1 * 2.0 * njac[i][j][k][0][4];
lhs[i][j][k][BB][1][0] = tmp1 * 2.0 * njac[i][j][k][1][0];
lhs[i][j][k][BB][1][1] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][1][1]
+ tmp1 * 2.0 * dy2;
lhs[i][j][k][BB][1][2] = tmp1 * 2.0 * njac[i][j][k][1][2];
lhs[i][j][k][BB][1][3] = tmp1 * 2.0 * njac[i][j][k][1][3];
lhs[i][j][k][BB][1][4] = tmp1 * 2.0 * njac[i][j][k][1][4];
lhs[i][j][k][BB][2][0] = tmp1 * 2.0 * njac[i][j][k][2][0];
lhs[i][j][k][BB][2][1] = tmp1 * 2.0 * njac[i][j][k][2][1];
lhs[i][j][k][BB][2][2] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][2][2]
+ tmp1 * 2.0 * dy3;
lhs[i][j][k][BB][2][3] = tmp1 * 2.0 * njac[i][j][k][2][3];
lhs[i][j][k][BB][2][4] = tmp1 * 2.0 * njac[i][j][k][2][4];
lhs[i][j][k][BB][3][0] = tmp1 * 2.0 * njac[i][j][k][3][0];
lhs[i][j][k][BB][3][1] = tmp1 * 2.0 * njac[i][j][k][3][1];
lhs[i][j][k][BB][3][2] = tmp1 * 2.0 * njac[i][j][k][3][2];
lhs[i][j][k][BB][3][3] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][3][3]
+ tmp1 * 2.0 * dy4;
lhs[i][j][k][BB][3][4] = tmp1 * 2.0 * njac[i][j][k][3][4];
lhs[i][j][k][BB][4][0] = tmp1 * 2.0 * njac[i][j][k][4][0];
lhs[i][j][k][BB][4][1] = tmp1 * 2.0 * njac[i][j][k][4][1];
lhs[i][j][k][BB][4][2] = tmp1 * 2.0 * njac[i][j][k][4][2];
lhs[i][j][k][BB][4][3] = tmp1 * 2.0 * njac[i][j][k][4][3];
lhs[i][j][k][BB][4][4] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][4][4]
+ tmp1 * 2.0 * dy5;
lhs[i][j][k][CC][0][0] = tmp2 * fjac[i][j+1][k][0][0]
- tmp1 * njac[i][j+1][k][0][0]
- tmp1 * dy1;
lhs[i][j][k][CC][0][1] = tmp2 * fjac[i][j+1][k][0][1]
- tmp1 * njac[i][j+1][k][0][1];
lhs[i][j][k][CC][0][2] = tmp2 * fjac[i][j+1][k][0][2]
- tmp1 * njac[i][j+1][k][0][2];
lhs[i][j][k][CC][0][3] = tmp2 * fjac[i][j+1][k][0][3]
- tmp1 * njac[i][j+1][k][0][3];
lhs[i][j][k][CC][0][4] = tmp2 * fjac[i][j+1][k][0][4]
- tmp1 * njac[i][j+1][k][0][4];
lhs[i][j][k][CC][1][0] = tmp2 * fjac[i][j+1][k][1][0]
- tmp1 * njac[i][j+1][k][1][0];
lhs[i][j][k][CC][1][1] = tmp2 * fjac[i][j+1][k][1][1]
- tmp1 * njac[i][j+1][k][1][1]
- tmp1 * dy2;
lhs[i][j][k][CC][1][2] = tmp2 * fjac[i][j+1][k][1][2]
- tmp1 * njac[i][j+1][k][1][2];
lhs[i][j][k][CC][1][3] = tmp2 * fjac[i][j+1][k][1][3]
- tmp1 * njac[i][j+1][k][1][3];
lhs[i][j][k][CC][1][4] = tmp2 * fjac[i][j+1][k][1][4]
- tmp1 * njac[i][j+1][k][1][4];
lhs[i][j][k][CC][2][0] = tmp2 * fjac[i][j+1][k][2][0]
- tmp1 * njac[i][j+1][k][2][0];
lhs[i][j][k][CC][2][1] = tmp2 * fjac[i][j+1][k][2][1]
- tmp1 * njac[i][j+1][k][2][1];
lhs[i][j][k][CC][2][2] = tmp2 * fjac[i][j+1][k][2][2]
- tmp1 * njac[i][j+1][k][2][2]
- tmp1 * dy3;
lhs[i][j][k][CC][2][3] = tmp2 * fjac[i][j+1][k][2][3]
- tmp1 * njac[i][j+1][k][2][3];
lhs[i][j][k][CC][2][4] = tmp2 * fjac[i][j+1][k][2][4]
- tmp1 * njac[i][j+1][k][2][4];
lhs[i][j][k][CC][3][0] = tmp2 * fjac[i][j+1][k][3][0]
- tmp1 * njac[i][j+1][k][3][0];
lhs[i][j][k][CC][3][1] = tmp2 * fjac[i][j+1][k][3][1]
- tmp1 * njac[i][j+1][k][3][1];
lhs[i][j][k][CC][3][2] = tmp2 * fjac[i][j+1][k][3][2]
- tmp1 * njac[i][j+1][k][3][2];
lhs[i][j][k][CC][3][3] = tmp2 * fjac[i][j+1][k][3][3]
- tmp1 * njac[i][j+1][k][3][3]
- tmp1 * dy4;
lhs[i][j][k][CC][3][4] = tmp2 * fjac[i][j+1][k][3][4]
- tmp1 * njac[i][j+1][k][3][4];
lhs[i][j][k][CC][4][0] = tmp2 * fjac[i][j+1][k][4][0]
- tmp1 * njac[i][j+1][k][4][0];
lhs[i][j][k][CC][4][1] = tmp2 * fjac[i][j+1][k][4][1]
- tmp1 * njac[i][j+1][k][4][1];
lhs[i][j][k][CC][4][2] = tmp2 * fjac[i][j+1][k][4][2]
- tmp1 * njac[i][j+1][k][4][2];
lhs[i][j][k][CC][4][3] = tmp2 * fjac[i][j+1][k][4][3]
- tmp1 * njac[i][j+1][k][4][3];
lhs[i][j][k][CC][4][4] = tmp2 * fjac[i][j+1][k][4][4]
- tmp1 * njac[i][j+1][k][4][4]
- tmp1 * dy5;
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void lhsz(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c This function computes the left hand side for the three z-factors
c-------------------------------------------------------------------*/
int i, j, k;
/*--------------------------------------------------------------------
c Compute the indices for storing the block-diagonal matrix;
c determine c (labeled f) and s jacobians
c---------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 0; k < grid_points[2]; k++) {
tmp1 = 1.0 / u[i][j][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
fjac[i][j][k][0][0] = 0.0;
fjac[i][j][k][0][1] = 0.0;
fjac[i][j][k][0][2] = 0.0;
fjac[i][j][k][0][3] = 1.0;
fjac[i][j][k][0][4] = 0.0;
fjac[i][j][k][1][0] = - ( u[i][j][k][1]*u[i][j][k][3] )
* tmp2;
fjac[i][j][k][1][1] = u[i][j][k][3] * tmp1;
fjac[i][j][k][1][2] = 0.0;
fjac[i][j][k][1][3] = u[i][j][k][1] * tmp1;
fjac[i][j][k][1][4] = 0.0;
fjac[i][j][k][2][0] = - ( u[i][j][k][2]*u[i][j][k][3] )
* tmp2;
fjac[i][j][k][2][1] = 0.0;
fjac[i][j][k][2][2] = u[i][j][k][3] * tmp1;
fjac[i][j][k][2][3] = u[i][j][k][2] * tmp1;
fjac[i][j][k][2][4] = 0.0;
fjac[i][j][k][3][0] = - (u[i][j][k][3]*u[i][j][k][3] * tmp2 )
+ 0.50 * c2 * ( ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] ) * tmp2 );
fjac[i][j][k][3][1] = - c2 * u[i][j][k][1] * tmp1;
fjac[i][j][k][3][2] = - c2 * u[i][j][k][2] * tmp1;
fjac[i][j][k][3][3] = ( 2.0 - c2 )
* u[i][j][k][3] * tmp1;
fjac[i][j][k][3][4] = c2;
fjac[i][j][k][4][0] = ( c2 * ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] )
* tmp2
- c1 * ( u[i][j][k][4] * tmp1 ) )
* ( u[i][j][k][3] * tmp1 );
fjac[i][j][k][4][1] = - c2 * ( u[i][j][k][1]*u[i][j][k][3] )
* tmp2;
fjac[i][j][k][4][2] = - c2 * ( u[i][j][k][2]*u[i][j][k][3] )
* tmp2;
fjac[i][j][k][4][3] = c1 * ( u[i][j][k][4] * tmp1 )
- 0.50 * c2
* ( ( u[i][j][k][1]*u[i][j][k][1]
+ u[i][j][k][2]*u[i][j][k][2]
+ 3.0*u[i][j][k][3]*u[i][j][k][3] )
* tmp2 );
fjac[i][j][k][4][4] = c1 * u[i][j][k][3] * tmp1;
njac[i][j][k][0][0] = 0.0;
njac[i][j][k][0][1] = 0.0;
njac[i][j][k][0][2] = 0.0;
njac[i][j][k][0][3] = 0.0;
njac[i][j][k][0][4] = 0.0;
njac[i][j][k][1][0] = - c3c4 * tmp2 * u[i][j][k][1];
njac[i][j][k][1][1] = c3c4 * tmp1;
njac[i][j][k][1][2] = 0.0;
njac[i][j][k][1][3] = 0.0;
njac[i][j][k][1][4] = 0.0;
njac[i][j][k][2][0] = - c3c4 * tmp2 * u[i][j][k][2];
njac[i][j][k][2][1] = 0.0;
njac[i][j][k][2][2] = c3c4 * tmp1;
njac[i][j][k][2][3] = 0.0;
njac[i][j][k][2][4] = 0.0;
njac[i][j][k][3][0] = - con43 * c3c4 * tmp2 * u[i][j][k][3];
njac[i][j][k][3][1] = 0.0;
njac[i][j][k][3][2] = 0.0;
njac[i][j][k][3][3] = con43 * c3 * c4 * tmp1;
njac[i][j][k][3][4] = 0.0;
njac[i][j][k][4][0] = - ( c3c4
- c1345 ) * tmp3 * (pow2(u[i][j][k][1]))
- ( c3c4 - c1345 ) * tmp3 * (pow2(u[i][j][k][2]))
- ( con43 * c3c4
- c1345 ) * tmp3 * (pow2(u[i][j][k][3]))
- c1345 * tmp2 * u[i][j][k][4];
njac[i][j][k][4][1] = ( c3c4 - c1345 ) * tmp2 * u[i][j][k][1];
njac[i][j][k][4][2] = ( c3c4 - c1345 ) * tmp2 * u[i][j][k][2];
njac[i][j][k][4][3] = ( con43 * c3c4
- c1345 ) * tmp2 * u[i][j][k][3];
njac[i][j][k][4][4] = ( c1345 )* tmp1;
}
}
}
/*--------------------------------------------------------------------
c now jacobians set, so form left hand side in z direction
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
tmp1 = dt * tz1;
tmp2 = dt * tz2;
lhs[i][j][k][AA][0][0] = - tmp2 * fjac[i][j][k-1][0][0]
- tmp1 * njac[i][j][k-1][0][0]
- tmp1 * dz1;
lhs[i][j][k][AA][0][1] = - tmp2 * fjac[i][j][k-1][0][1]
- tmp1 * njac[i][j][k-1][0][1];
lhs[i][j][k][AA][0][2] = - tmp2 * fjac[i][j][k-1][0][2]
- tmp1 * njac[i][j][k-1][0][2];
lhs[i][j][k][AA][0][3] = - tmp2 * fjac[i][j][k-1][0][3]
- tmp1 * njac[i][j][k-1][0][3];
lhs[i][j][k][AA][0][4] = - tmp2 * fjac[i][j][k-1][0][4]
- tmp1 * njac[i][j][k-1][0][4];
lhs[i][j][k][AA][1][0] = - tmp2 * fjac[i][j][k-1][1][0]
- tmp1 * njac[i][j][k-1][1][0];
lhs[i][j][k][AA][1][1] = - tmp2 * fjac[i][j][k-1][1][1]
- tmp1 * njac[i][j][k-1][1][1]
- tmp1 * dz2;
lhs[i][j][k][AA][1][2] = - tmp2 * fjac[i][j][k-1][1][2]
- tmp1 * njac[i][j][k-1][1][2];
lhs[i][j][k][AA][1][3] = - tmp2 * fjac[i][j][k-1][1][3]
- tmp1 * njac[i][j][k-1][1][3];
lhs[i][j][k][AA][1][4] = - tmp2 * fjac[i][j][k-1][1][4]
- tmp1 * njac[i][j][k-1][1][4];
lhs[i][j][k][AA][2][0] = - tmp2 * fjac[i][j][k-1][2][0]
- tmp1 * njac[i][j][k-1][2][0];
lhs[i][j][k][AA][2][1] = - tmp2 * fjac[i][j][k-1][2][1]
- tmp1 * njac[i][j][k-1][2][1];
lhs[i][j][k][AA][2][2] = - tmp2 * fjac[i][j][k-1][2][2]
- tmp1 * njac[i][j][k-1][2][2]
- tmp1 * dz3;
lhs[i][j][k][AA][2][3] = - tmp2 * fjac[i][j][k-1][2][3]
- tmp1 * njac[i][j][k-1][2][3];
lhs[i][j][k][AA][2][4] = - tmp2 * fjac[i][j][k-1][2][4]
- tmp1 * njac[i][j][k-1][2][4];
lhs[i][j][k][AA][3][0] = - tmp2 * fjac[i][j][k-1][3][0]
- tmp1 * njac[i][j][k-1][3][0];
lhs[i][j][k][AA][3][1] = - tmp2 * fjac[i][j][k-1][3][1]
- tmp1 * njac[i][j][k-1][3][1];
lhs[i][j][k][AA][3][2] = - tmp2 * fjac[i][j][k-1][3][2]
- tmp1 * njac[i][j][k-1][3][2];
lhs[i][j][k][AA][3][3] = - tmp2 * fjac[i][j][k-1][3][3]
- tmp1 * njac[i][j][k-1][3][3]
- tmp1 * dz4;
lhs[i][j][k][AA][3][4] = - tmp2 * fjac[i][j][k-1][3][4]
- tmp1 * njac[i][j][k-1][3][4];
lhs[i][j][k][AA][4][0] = - tmp2 * fjac[i][j][k-1][4][0]
- tmp1 * njac[i][j][k-1][4][0];
lhs[i][j][k][AA][4][1] = - tmp2 * fjac[i][j][k-1][4][1]
- tmp1 * njac[i][j][k-1][4][1];
lhs[i][j][k][AA][4][2] = - tmp2 * fjac[i][j][k-1][4][2]
- tmp1 * njac[i][j][k-1][4][2];
lhs[i][j][k][AA][4][3] = - tmp2 * fjac[i][j][k-1][4][3]
- tmp1 * njac[i][j][k-1][4][3];
lhs[i][j][k][AA][4][4] = - tmp2 * fjac[i][j][k-1][4][4]
- tmp1 * njac[i][j][k-1][4][4]
- tmp1 * dz5;
lhs[i][j][k][BB][0][0] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][0][0]
+ tmp1 * 2.0 * dz1;
lhs[i][j][k][BB][0][1] = tmp1 * 2.0 * njac[i][j][k][0][1];
lhs[i][j][k][BB][0][2] = tmp1 * 2.0 * njac[i][j][k][0][2];
lhs[i][j][k][BB][0][3] = tmp1 * 2.0 * njac[i][j][k][0][3];
lhs[i][j][k][BB][0][4] = tmp1 * 2.0 * njac[i][j][k][0][4];
lhs[i][j][k][BB][1][0] = tmp1 * 2.0 * njac[i][j][k][1][0];
lhs[i][j][k][BB][1][1] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][1][1]
+ tmp1 * 2.0 * dz2;
lhs[i][j][k][BB][1][2] = tmp1 * 2.0 * njac[i][j][k][1][2];
lhs[i][j][k][BB][1][3] = tmp1 * 2.0 * njac[i][j][k][1][3];
lhs[i][j][k][BB][1][4] = tmp1 * 2.0 * njac[i][j][k][1][4];
lhs[i][j][k][BB][2][0] = tmp1 * 2.0 * njac[i][j][k][2][0];
lhs[i][j][k][BB][2][1] = tmp1 * 2.0 * njac[i][j][k][2][1];
lhs[i][j][k][BB][2][2] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][2][2]
+ tmp1 * 2.0 * dz3;
lhs[i][j][k][BB][2][3] = tmp1 * 2.0 * njac[i][j][k][2][3];
lhs[i][j][k][BB][2][4] = tmp1 * 2.0 * njac[i][j][k][2][4];
lhs[i][j][k][BB][3][0] = tmp1 * 2.0 * njac[i][j][k][3][0];
lhs[i][j][k][BB][3][1] = tmp1 * 2.0 * njac[i][j][k][3][1];
lhs[i][j][k][BB][3][2] = tmp1 * 2.0 * njac[i][j][k][3][2];
lhs[i][j][k][BB][3][3] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][3][3]
+ tmp1 * 2.0 * dz4;
lhs[i][j][k][BB][3][4] = tmp1 * 2.0 * njac[i][j][k][3][4];
lhs[i][j][k][BB][4][0] = tmp1 * 2.0 * njac[i][j][k][4][0];
lhs[i][j][k][BB][4][1] = tmp1 * 2.0 * njac[i][j][k][4][1];
lhs[i][j][k][BB][4][2] = tmp1 * 2.0 * njac[i][j][k][4][2];
lhs[i][j][k][BB][4][3] = tmp1 * 2.0 * njac[i][j][k][4][3];
lhs[i][j][k][BB][4][4] = 1.0
+ tmp1 * 2.0 * njac[i][j][k][4][4]
+ tmp1 * 2.0 * dz5;
lhs[i][j][k][CC][0][0] = tmp2 * fjac[i][j][k+1][0][0]
- tmp1 * njac[i][j][k+1][0][0]
- tmp1 * dz1;
lhs[i][j][k][CC][0][1] = tmp2 * fjac[i][j][k+1][0][1]
- tmp1 * njac[i][j][k+1][0][1];
lhs[i][j][k][CC][0][2] = tmp2 * fjac[i][j][k+1][0][2]
- tmp1 * njac[i][j][k+1][0][2];
lhs[i][j][k][CC][0][3] = tmp2 * fjac[i][j][k+1][0][3]
- tmp1 * njac[i][j][k+1][0][3];
lhs[i][j][k][CC][0][4] = tmp2 * fjac[i][j][k+1][0][4]
- tmp1 * njac[i][j][k+1][0][4];
lhs[i][j][k][CC][1][0] = tmp2 * fjac[i][j][k+1][1][0]
- tmp1 * njac[i][j][k+1][1][0];
lhs[i][j][k][CC][1][1] = tmp2 * fjac[i][j][k+1][1][1]
- tmp1 * njac[i][j][k+1][1][1]
- tmp1 * dz2;
lhs[i][j][k][CC][1][2] = tmp2 * fjac[i][j][k+1][1][2]
- tmp1 * njac[i][j][k+1][1][2];
lhs[i][j][k][CC][1][3] = tmp2 * fjac[i][j][k+1][1][3]
- tmp1 * njac[i][j][k+1][1][3];
lhs[i][j][k][CC][1][4] = tmp2 * fjac[i][j][k+1][1][4]
- tmp1 * njac[i][j][k+1][1][4];
lhs[i][j][k][CC][2][0] = tmp2 * fjac[i][j][k+1][2][0]
- tmp1 * njac[i][j][k+1][2][0];
lhs[i][j][k][CC][2][1] = tmp2 * fjac[i][j][k+1][2][1]
- tmp1 * njac[i][j][k+1][2][1];
lhs[i][j][k][CC][2][2] = tmp2 * fjac[i][j][k+1][2][2]
- tmp1 * njac[i][j][k+1][2][2]
- tmp1 * dz3;
lhs[i][j][k][CC][2][3] = tmp2 * fjac[i][j][k+1][2][3]
- tmp1 * njac[i][j][k+1][2][3];
lhs[i][j][k][CC][2][4] = tmp2 * fjac[i][j][k+1][2][4]
- tmp1 * njac[i][j][k+1][2][4];
lhs[i][j][k][CC][3][0] = tmp2 * fjac[i][j][k+1][3][0]
- tmp1 * njac[i][j][k+1][3][0];
lhs[i][j][k][CC][3][1] = tmp2 * fjac[i][j][k+1][3][1]
- tmp1 * njac[i][j][k+1][3][1];
lhs[i][j][k][CC][3][2] = tmp2 * fjac[i][j][k+1][3][2]
- tmp1 * njac[i][j][k+1][3][2];
lhs[i][j][k][CC][3][3] = tmp2 * fjac[i][j][k+1][3][3]
- tmp1 * njac[i][j][k+1][3][3]
- tmp1 * dz4;
lhs[i][j][k][CC][3][4] = tmp2 * fjac[i][j][k+1][3][4]
- tmp1 * njac[i][j][k+1][3][4];
lhs[i][j][k][CC][4][0] = tmp2 * fjac[i][j][k+1][4][0]
- tmp1 * njac[i][j][k+1][4][0];
lhs[i][j][k][CC][4][1] = tmp2 * fjac[i][j][k+1][4][1]
- tmp1 * njac[i][j][k+1][4][1];
lhs[i][j][k][CC][4][2] = tmp2 * fjac[i][j][k+1][4][2]
- tmp1 * njac[i][j][k+1][4][2];
lhs[i][j][k][CC][4][3] = tmp2 * fjac[i][j][k+1][4][3]
- tmp1 * njac[i][j][k+1][4][3];
lhs[i][j][k][CC][4][4] = tmp2 * fjac[i][j][k+1][4][4]
- tmp1 * njac[i][j][k+1][4][4]
- tmp1 * dz5;
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void compute_rhs(void) {
int i, j, k, m;
double rho_inv, uijk, up1, um1, vijk, vp1, vm1, wijk, wp1, wm1;
/*--------------------------------------------------------------------
c compute the reciprocal of density, and the kinetic energy,
c and the speed of sound.
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 0; i < grid_points[0]; i++) {
#pragma omp parallel for
for (j = 0; j < grid_points[1]; j++) {
#pragma omp parallel for
for (k = 0; k < grid_points[2]; k++) {
rho_inv = 1.0/u[i][j][k][0];
rho_i[i][j][k] = rho_inv;
us[i][j][k] = u[i][j][k][1] * rho_inv;
vs[i][j][k] = u[i][j][k][2] * rho_inv;
ws[i][j][k] = u[i][j][k][3] * rho_inv;
square[i][j][k] = 0.5 * (u[i][j][k][1]*u[i][j][k][1] +
u[i][j][k][2]*u[i][j][k][2] +
u[i][j][k][3]*u[i][j][k][3] ) * rho_inv;
qs[i][j][k] = square[i][j][k] * rho_inv;
}
}
}
/*--------------------------------------------------------------------
c copy the exact forcing term to the right hand side; because
c this forcing term is known, we can store it on the whole grid
c including the boundary
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 0; i < grid_points[0]; i++) {
#pragma omp parallel for
for (j = 0; j < grid_points[1]; j++) {
#pragma omp parallel for
for (k = 0; k < grid_points[2]; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = forcing[i][j][k][m];
}
}
}
}
/*--------------------------------------------------------------------
c compute xi-direction fluxes
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
uijk = us[i][j][k];
up1 = us[i+1][j][k];
um1 = us[i-1][j][k];
rhs[i][j][k][0] = rhs[i][j][k][0] + dx1tx1 *
(u[i+1][j][k][0] - 2.0*u[i][j][k][0] +
u[i-1][j][k][0]) -
tx2 * (u[i+1][j][k][1] - u[i-1][j][k][1]);
rhs[i][j][k][1] = rhs[i][j][k][1] + dx2tx1 *
(u[i+1][j][k][1] - 2.0*u[i][j][k][1] +
u[i-1][j][k][1]) +
xxcon2*con43 * (up1 - 2.0*uijk + um1) -
tx2 * (u[i+1][j][k][1]*up1 -
u[i-1][j][k][1]*um1 +
(u[i+1][j][k][4]- square[i+1][j][k]-
u[i-1][j][k][4]+ square[i-1][j][k])*
c2);
rhs[i][j][k][2] = rhs[i][j][k][2] + dx3tx1 *
(u[i+1][j][k][2] - 2.0*u[i][j][k][2] +
u[i-1][j][k][2]) +
xxcon2 * (vs[i+1][j][k] - 2.0*vs[i][j][k] +
vs[i-1][j][k]) -
tx2 * (u[i+1][j][k][2]*up1 -
u[i-1][j][k][2]*um1);
rhs[i][j][k][3] = rhs[i][j][k][3] + dx4tx1 *
(u[i+1][j][k][3] - 2.0*u[i][j][k][3] +
u[i-1][j][k][3]) +
xxcon2 * (ws[i+1][j][k] - 2.0*ws[i][j][k] +
ws[i-1][j][k]) -
tx2 * (u[i+1][j][k][3]*up1 -
u[i-1][j][k][3]*um1);
rhs[i][j][k][4] = rhs[i][j][k][4] + dx5tx1 *
(u[i+1][j][k][4] - 2.0*u[i][j][k][4] +
u[i-1][j][k][4]) +
xxcon3 * (qs[i+1][j][k] - 2.0*qs[i][j][k] +
qs[i-1][j][k]) +
xxcon4 * (up1*up1 - 2.0*uijk*uijk +
um1*um1) +
xxcon5 * (u[i+1][j][k][4]*rho_i[i+1][j][k] -
2.0*u[i][j][k][4]*rho_i[i][j][k] +
u[i-1][j][k][4]*rho_i[i-1][j][k]) -
tx2 * ( (c1*u[i+1][j][k][4] -
c2*square[i+1][j][k])*up1 -
(c1*u[i-1][j][k][4] -
c2*square[i-1][j][k])*um1 );
}
}
}
/*--------------------------------------------------------------------
c add fourth order xi-direction dissipation
c-------------------------------------------------------------------*/
i = 1;
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m]- dssp *
( 5.0*u[i][j][k][m] - 4.0*u[i+1][j][k][m] +
u[i+2][j][k][m]);
}
}
}
i = 2;
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
(-4.0*u[i-1][j][k][m] + 6.0*u[i][j][k][m] -
4.0*u[i+1][j][k][m] + u[i+2][j][k][m]);
}
}
}
#pragma omp for
for (i = 3; i < grid_points[0]-3; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i-2][j][k][m] - 4.0*u[i-1][j][k][m] +
6.0*u[i][j][k][m] - 4.0*u[i+1][j][k][m] +
u[i+2][j][k][m] );
}
}
}
}
i = grid_points[0]-3;
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i-2][j][k][m] - 4.0*u[i-1][j][k][m] +
6.0*u[i][j][k][m] - 4.0*u[i+1][j][k][m] );
}
}
}
i = grid_points[0]-2;
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i-2][j][k][m] - 4.*u[i-1][j][k][m] +
5.0*u[i][j][k][m] );
}
}
}
/*--------------------------------------------------------------------
c compute eta-direction fluxes
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
vijk = vs[i][j][k];
vp1 = vs[i][j+1][k];
vm1 = vs[i][j-1][k];
rhs[i][j][k][0] = rhs[i][j][k][0] + dy1ty1 *
(u[i][j+1][k][0] - 2.0*u[i][j][k][0] +
u[i][j-1][k][0]) -
ty2 * (u[i][j+1][k][2] - u[i][j-1][k][2]);
rhs[i][j][k][1] = rhs[i][j][k][1] + dy2ty1 *
(u[i][j+1][k][1] - 2.0*u[i][j][k][1] +
u[i][j-1][k][1]) +
yycon2 * (us[i][j+1][k] - 2.0*us[i][j][k] +
us[i][j-1][k]) -
ty2 * (u[i][j+1][k][1]*vp1 -
u[i][j-1][k][1]*vm1);
rhs[i][j][k][2] = rhs[i][j][k][2] + dy3ty1 *
(u[i][j+1][k][2] - 2.0*u[i][j][k][2] +
u[i][j-1][k][2]) +
yycon2*con43 * (vp1 - 2.0*vijk + vm1) -
ty2 * (u[i][j+1][k][2]*vp1 -
u[i][j-1][k][2]*vm1 +
(u[i][j+1][k][4] - square[i][j+1][k] -
u[i][j-1][k][4] + square[i][j-1][k])
*c2);
rhs[i][j][k][3] = rhs[i][j][k][3] + dy4ty1 *
(u[i][j+1][k][3] - 2.0*u[i][j][k][3] +
u[i][j-1][k][3]) +
yycon2 * (ws[i][j+1][k] - 2.0*ws[i][j][k] +
ws[i][j-1][k]) -
ty2 * (u[i][j+1][k][3]*vp1 -
u[i][j-1][k][3]*vm1);
rhs[i][j][k][4] = rhs[i][j][k][4] + dy5ty1 *
(u[i][j+1][k][4] - 2.0*u[i][j][k][4] +
u[i][j-1][k][4]) +
yycon3 * (qs[i][j+1][k] - 2.0*qs[i][j][k] +
qs[i][j-1][k]) +
yycon4 * (vp1*vp1 - 2.0*vijk*vijk +
vm1*vm1) +
yycon5 * (u[i][j+1][k][4]*rho_i[i][j+1][k] -
2.0*u[i][j][k][4]*rho_i[i][j][k] +
u[i][j-1][k][4]*rho_i[i][j-1][k]) -
ty2 * ((c1*u[i][j+1][k][4] -
c2*square[i][j+1][k]) * vp1 -
(c1*u[i][j-1][k][4] -
c2*square[i][j-1][k]) * vm1);
}
}
}
/*--------------------------------------------------------------------
c add fourth order eta-direction dissipation
c-------------------------------------------------------------------*/
j = 1;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m]- dssp *
( 5.0*u[i][j][k][m] - 4.0*u[i][j+1][k][m] +
u[i][j+2][k][m]);
}
}
}
j = 2;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
(-4.0*u[i][j-1][k][m] + 6.0*u[i][j][k][m] -
4.0*u[i][j+1][k][m] + u[i][j+2][k][m]);
}
}
}
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 3; j < grid_points[1]-3; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i][j-2][k][m] - 4.0*u[i][j-1][k][m] +
6.0*u[i][j][k][m] - 4.0*u[i][j+1][k][m] +
u[i][j+2][k][m] );
}
}
}
}
j = grid_points[1]-3;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i][j-2][k][m] - 4.0*u[i][j-1][k][m] +
6.0*u[i][j][k][m] - 4.0*u[i][j+1][k][m] );
}
}
}
j = grid_points[1]-2;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i][j-2][k][m] - 4.*u[i][j-1][k][m] +
5.*u[i][j][k][m] );
}
}
}
/*--------------------------------------------------------------------
c compute zeta-direction fluxes
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
wijk = ws[i][j][k];
wp1 = ws[i][j][k+1];
wm1 = ws[i][j][k-1];
rhs[i][j][k][0] = rhs[i][j][k][0] + dz1tz1 *
(u[i][j][k+1][0] - 2.0*u[i][j][k][0] +
u[i][j][k-1][0]) -
tz2 * (u[i][j][k+1][3] - u[i][j][k-1][3]);
rhs[i][j][k][1] = rhs[i][j][k][1] + dz2tz1 *
(u[i][j][k+1][1] - 2.0*u[i][j][k][1] +
u[i][j][k-1][1]) +
zzcon2 * (us[i][j][k+1] - 2.0*us[i][j][k] +
us[i][j][k-1]) -
tz2 * (u[i][j][k+1][1]*wp1 -
u[i][j][k-1][1]*wm1);
rhs[i][j][k][2] = rhs[i][j][k][2] + dz3tz1 *
(u[i][j][k+1][2] - 2.0*u[i][j][k][2] +
u[i][j][k-1][2]) +
zzcon2 * (vs[i][j][k+1] - 2.0*vs[i][j][k] +
vs[i][j][k-1]) -
tz2 * (u[i][j][k+1][2]*wp1 -
u[i][j][k-1][2]*wm1);
rhs[i][j][k][3] = rhs[i][j][k][3] + dz4tz1 *
(u[i][j][k+1][3] - 2.0*u[i][j][k][3] +
u[i][j][k-1][3]) +
zzcon2*con43 * (wp1 - 2.0*wijk + wm1) -
tz2 * (u[i][j][k+1][3]*wp1 -
u[i][j][k-1][3]*wm1 +
(u[i][j][k+1][4] - square[i][j][k+1] -
u[i][j][k-1][4] + square[i][j][k-1])
*c2);
rhs[i][j][k][4] = rhs[i][j][k][4] + dz5tz1 *
(u[i][j][k+1][4] - 2.0*u[i][j][k][4] +
u[i][j][k-1][4]) +
zzcon3 * (qs[i][j][k+1] - 2.0*qs[i][j][k] +
qs[i][j][k-1]) +
zzcon4 * (wp1*wp1 - 2.0*wijk*wijk +
wm1*wm1) +
zzcon5 * (u[i][j][k+1][4]*rho_i[i][j][k+1] -
2.0*u[i][j][k][4]*rho_i[i][j][k] +
u[i][j][k-1][4]*rho_i[i][j][k-1]) -
tz2 * ( (c1*u[i][j][k+1][4] -
c2*square[i][j][k+1])*wp1 -
(c1*u[i][j][k-1][4] -
c2*square[i][j][k-1])*wm1);
}
}
}
/*--------------------------------------------------------------------
c add fourth order zeta-direction dissipation
c-------------------------------------------------------------------*/
k = 1;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m]- dssp *
( 5.0*u[i][j][k][m] - 4.0*u[i][j][k+1][m] +
u[i][j][k+2][m]);
}
}
}
k = 2;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
(-4.0*u[i][j][k-1][m] + 6.0*u[i][j][k][m] -
4.0*u[i][j][k+1][m] + u[i][j][k+2][m]);
}
}
}
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 3; k < grid_points[2]-3; k++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i][j][k-2][m] - 4.0*u[i][j][k-1][m] +
6.0*u[i][j][k][m] - 4.0*u[i][j][k+1][m] +
u[i][j][k+2][m] );
}
}
}
}
k = grid_points[2]-3;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i][j][k-2][m] - 4.0*u[i][j][k-1][m] +
6.0*u[i][j][k][m] - 4.0*u[i][j][k+1][m] );
}
}
}
k = grid_points[2]-2;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (m = 0; m < 5; m++) {
rhs[i][j][k][m] = rhs[i][j][k][m] - dssp *
( u[i][j][k-2][m] - 4.0*u[i][j][k-1][m] +
5.0*u[i][j][k][m] );
}
}
}
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
for (m = 0; m < 5; m++) {
for (i = 1; i < grid_points[0]-1; i++) {
rhs[i][j][k][m] = rhs[i][j][k][m] * dt;
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void set_constants(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
ce[0][0] = 2.0;
ce[0][1] = 0.0;
ce[0][2] = 0.0;
ce[0][3] = 4.0;
ce[0][4] = 5.0;
ce[0][5] = 3.0;
ce[0][6] = 0.5;
ce[0][7] = 0.02;
ce[0][8] = 0.01;
ce[0][9] = 0.03;
ce[0][10] = 0.5;
ce[0][11] = 0.4;
ce[0][12] = 0.3;
ce[1][0] = 1.0;
ce[1][1] = 0.0;
ce[1][2] = 0.0;
ce[1][3] = 0.0;
ce[1][4] = 1.0;
ce[1][5] = 2.0;
ce[1][6] = 3.0;
ce[1][7] = 0.01;
ce[1][8] = 0.03;
ce[1][9] = 0.02;
ce[1][10] = 0.4;
ce[1][11] = 0.3;
ce[1][12] = 0.5;
ce[2][0] = 2.0;
ce[2][1] = 2.0;
ce[2][2] = 0.0;
ce[2][3] = 0.0;
ce[2][4] = 0.0;
ce[2][5] = 2.0;
ce[2][6] = 3.0;
ce[2][7] = 0.04;
ce[2][8] = 0.03;
ce[2][9] = 0.05;
ce[2][10] = 0.3;
ce[2][11] = 0.5;
ce[2][12] = 0.4;
ce[3][0] = 2.0;
ce[3][1] = 2.0;
ce[3][2] = 0.0;
ce[3][3] = 0.0;
ce[3][4] = 0.0;
ce[3][5] = 2.0;
ce[3][6] = 3.0;
ce[3][7] = 0.03;
ce[3][8] = 0.05;
ce[3][9] = 0.04;
ce[3][10] = 0.2;
ce[3][11] = 0.1;
ce[3][12] = 0.3;
ce[4][0] = 5.0;
ce[4][1] = 4.0;
ce[4][2] = 3.0;
ce[4][3] = 2.0;
ce[4][4] = 0.1;
ce[4][5] = 0.4;
ce[4][6] = 0.3;
ce[4][7] = 0.05;
ce[4][8] = 0.04;
ce[4][9] = 0.03;
ce[4][10] = 0.1;
ce[4][11] = 0.3;
ce[4][12] = 0.2;
c1 = 1.4;
c2 = 0.4;
c3 = 0.1;
c4 = 1.0;
c5 = 1.4;
dnxm1 = 1.0 / (double)(grid_points[0]-1);
dnym1 = 1.0 / (double)(grid_points[1]-1);
dnzm1 = 1.0 / (double)(grid_points[2]-1);
c1c2 = c1 * c2;
c1c5 = c1 * c5;
c3c4 = c3 * c4;
c1345 = c1c5 * c3c4;
conz1 = (1.0-c1c5);
tx1 = 1.0 / (dnxm1 * dnxm1);
tx2 = 1.0 / (2.0 * dnxm1);
tx3 = 1.0 / dnxm1;
ty1 = 1.0 / (dnym1 * dnym1);
ty2 = 1.0 / (2.0 * dnym1);
ty3 = 1.0 / dnym1;
tz1 = 1.0 / (dnzm1 * dnzm1);
tz2 = 1.0 / (2.0 * dnzm1);
tz3 = 1.0 / dnzm1;
dx1 = 0.75;
dx2 = 0.75;
dx3 = 0.75;
dx4 = 0.75;
dx5 = 0.75;
dy1 = 0.75;
dy2 = 0.75;
dy3 = 0.75;
dy4 = 0.75;
dy5 = 0.75;
dz1 = 1.0;
dz2 = 1.0;
dz3 = 1.0;
dz4 = 1.0;
dz5 = 1.0;
dxmax = max(dx3, dx4);
dymax = max(dy2, dy4);
dzmax = max(dz2, dz3);
dssp = 0.25 * max(dx1, max(dy1, dz1) );
c4dssp = 4.0 * dssp;
c5dssp = 5.0 * dssp;
dttx1 = dt*tx1;
dttx2 = dt*tx2;
dtty1 = dt*ty1;
dtty2 = dt*ty2;
dttz1 = dt*tz1;
dttz2 = dt*tz2;
c2dttx1 = 2.0*dttx1;
c2dtty1 = 2.0*dtty1;
c2dttz1 = 2.0*dttz1;
dtdssp = dt*dssp;
comz1 = dtdssp;
comz4 = 4.0*dtdssp;
comz5 = 5.0*dtdssp;
comz6 = 6.0*dtdssp;
c3c4tx3 = c3c4*tx3;
c3c4ty3 = c3c4*ty3;
c3c4tz3 = c3c4*tz3;
dx1tx1 = dx1*tx1;
dx2tx1 = dx2*tx1;
dx3tx1 = dx3*tx1;
dx4tx1 = dx4*tx1;
dx5tx1 = dx5*tx1;
dy1ty1 = dy1*ty1;
dy2ty1 = dy2*ty1;
dy3ty1 = dy3*ty1;
dy4ty1 = dy4*ty1;
dy5ty1 = dy5*ty1;
dz1tz1 = dz1*tz1;
dz2tz1 = dz2*tz1;
dz3tz1 = dz3*tz1;
dz4tz1 = dz4*tz1;
dz5tz1 = dz5*tz1;
c2iv = 2.5;
con43 = 4.0/3.0;
con16 = 1.0/6.0;
xxcon1 = c3c4tx3*con43*tx3;
xxcon2 = c3c4tx3*tx3;
xxcon3 = c3c4tx3*conz1*tx3;
xxcon4 = c3c4tx3*con16*tx3;
xxcon5 = c3c4tx3*c1c5*tx3;
yycon1 = c3c4ty3*con43*ty3;
yycon2 = c3c4ty3*ty3;
yycon3 = c3c4ty3*conz1*ty3;
yycon4 = c3c4ty3*con16*ty3;
yycon5 = c3c4ty3*c1c5*ty3;
zzcon1 = c3c4tz3*con43*tz3;
zzcon2 = c3c4tz3*tz3;
zzcon3 = c3c4tz3*conz1*tz3;
zzcon4 = c3c4tz3*con16*tz3;
zzcon5 = c3c4tz3*c1c5*tz3;
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void verify(int no_time_steps, char *class, boolean *verified) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c verification routine
c-------------------------------------------------------------------*/
double xcrref[5],xceref[5],xcrdif[5],xcedif[5],
epsilon, xce[5], xcr[5], dtref;
int m;
/*--------------------------------------------------------------------
c tolerance level
c-------------------------------------------------------------------*/
epsilon = 1.0e-08;
/*--------------------------------------------------------------------
c compute the error norm and the residual norm, and exit if not printing
c-------------------------------------------------------------------*/
error_norm(xce);
compute_rhs();
rhs_norm(xcr);
#pragma omp parallel for
for (m = 0; m < 5; m++) {
xcr[m] = xcr[m] / dt;
}
*class = 'U';
*verified = TRUE;
#pragma omp parallel for
for (m = 0; m < 5; m++) {
xcrref[m] = 1.0;
xceref[m] = 1.0;
}
/*--------------------------------------------------------------------
c reference data for 12X12X12 grids after 100 time steps, with DT = 1.0d-02
c-------------------------------------------------------------------*/
if (grid_points[0] == 12 &&
grid_points[1] == 12 &&
grid_points[2] == 12 &&
no_time_steps == 60) {
*class = 'S';
dtref = 1.0e-2;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual.
c-------------------------------------------------------------------*/
xcrref[0] = 1.7034283709541311e-01;
xcrref[1] = 1.2975252070034097e-02;
xcrref[2] = 3.2527926989486055e-02;
xcrref[3] = 2.6436421275166801e-02;
xcrref[4] = 1.9211784131744430e-01;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error.
c-------------------------------------------------------------------*/
xceref[0] = 4.9976913345811579e-04;
xceref[1] = 4.5195666782961927e-05;
xceref[2] = 7.3973765172921357e-05;
xceref[3] = 7.3821238632439731e-05;
xceref[4] = 8.9269630987491446e-04;
/*--------------------------------------------------------------------
c reference data for 24X24X24 grids after 200 time steps, with DT = 0.8d-3
c-------------------------------------------------------------------*/
} else if (grid_points[0] == 24 &&
grid_points[1] == 24 &&
grid_points[2] == 24 &&
no_time_steps == 200) {
*class = 'W';
dtref = 0.8e-3;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual.
c-------------------------------------------------------------------*/
xcrref[0] = 0.1125590409344e+03;
xcrref[1] = 0.1180007595731e+02;
xcrref[2] = 0.2710329767846e+02;
xcrref[3] = 0.2469174937669e+02;
xcrref[4] = 0.2638427874317e+03;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error.
c-------------------------------------------------------------------*/
xceref[0] = 0.4419655736008e+01;
xceref[1] = 0.4638531260002e+00;
xceref[2] = 0.1011551749967e+01;
xceref[3] = 0.9235878729944e+00;
xceref[4] = 0.1018045837718e+02;
/*--------------------------------------------------------------------
c reference data for 64X64X64 grids after 200 time steps, with DT = 0.8d-3
c-------------------------------------------------------------------*/
} else if (grid_points[0] == 64 &&
grid_points[1] == 64 &&
grid_points[2] == 64 &&
no_time_steps == 200) {
*class = 'A';
dtref = 0.8e-3;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual.
c-------------------------------------------------------------------*/
xcrref[0] = 1.0806346714637264e+02;
xcrref[1] = 1.1319730901220813e+01;
xcrref[2] = 2.5974354511582465e+01;
xcrref[3] = 2.3665622544678910e+01;
xcrref[4] = 2.5278963211748344e+02;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error.
c-------------------------------------------------------------------*/
xceref[0] = 4.2348416040525025e+00;
xceref[1] = 4.4390282496995698e-01;
xceref[2] = 9.6692480136345650e-01;
xceref[3] = 8.8302063039765474e-01;
xceref[4] = 9.7379901770829278e+00;
/*--------------------------------------------------------------------
c reference data for 102X102X102 grids after 200 time steps,
c with DT = 3.0d-04
c-------------------------------------------------------------------*/
} else if (grid_points[0] == 102 &&
grid_points[1] == 102 &&
grid_points[2] == 102 &&
no_time_steps == 200) {
*class = 'B';
dtref = 3.0e-4;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual.
c-------------------------------------------------------------------*/
xcrref[0] = 1.4233597229287254e+03;
xcrref[1] = 9.9330522590150238e+01;
xcrref[2] = 3.5646025644535285e+02;
xcrref[3] = 3.2485447959084092e+02;
xcrref[4] = 3.2707541254659363e+03;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error.
c-------------------------------------------------------------------*/
xceref[0] = 5.2969847140936856e+01;
xceref[1] = 4.4632896115670668e+00;
xceref[2] = 1.3122573342210174e+01;
xceref[3] = 1.2006925323559144e+01;
xceref[4] = 1.2459576151035986e+02;
/*--------------------------------------------------------------------
c reference data for 162X162X162 grids after 200 time steps,
c with DT = 1.0d-04
c-------------------------------------------------------------------*/
} else if (grid_points[0] == 162 &&
grid_points[1] == 162 &&
grid_points[2] == 162 &&
no_time_steps == 200) {
*class = 'C';
dtref = 1.0e-4;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual.
c-------------------------------------------------------------------*/
xcrref[0] = 0.62398116551764615e+04;
xcrref[1] = 0.50793239190423964e+03;
xcrref[2] = 0.15423530093013596e+04;
xcrref[3] = 0.13302387929291190e+04;
xcrref[4] = 0.11604087428436455e+05;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error.
c-------------------------------------------------------------------*/
xceref[0] = 0.16462008369091265e+03;
xceref[1] = 0.11497107903824313e+02;
xceref[2] = 0.41207446207461508e+02;
xceref[3] = 0.37087651059694167e+02;
xceref[4] = 0.36211053051841265e+03;
} else {
*verified = FALSE;
}
/*--------------------------------------------------------------------
c verification test for residuals if gridsize is either 12X12X12 or
c 64X64X64 or 102X102X102 or 162X162X162
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Compute the difference of solution values and the known reference values.
c-------------------------------------------------------------------*/
#pragma omp parallel for
for (m = 0; m < 5; m++) {
xcrdif[m] = fabs((xcr[m]-xcrref[m])/xcrref[m]);
xcedif[m] = fabs((xce[m]-xceref[m])/xceref[m]);
}
/*--------------------------------------------------------------------
c Output the comparison of computed results to known cases.
c-------------------------------------------------------------------*/
if (*class != 'U') {
printf(" Verification being performed for class %1c\n", *class);
printf(" accuracy setting for epsilon = %20.13e\n", epsilon);
if (fabs(dt-dtref) > epsilon) {
*verified = FALSE;
*class = 'U';
printf(" DT does not match the reference value of %15.8e\n", dtref);
}
} else {
printf(" Unknown class\n");
}
if (*class != 'U') {
printf(" Comparison of RMS-norms of residual\n");
} else {
printf(" RMS-norms of residual\n");
}
for (m = 0; m < 5; m++) {
if (*class == 'U') {
printf(" %2d%20.13e\n", m, xcr[m]);
} else if (xcrdif[m] > epsilon) {
*verified = FALSE;
printf(" FAILURE: %2d%20.13e%20.13e%20.13e\n",
m, xcr[m], xcrref[m], xcrdif[m]);
} else {
printf(" %2d%20.13e%20.13e%20.13e\n",
m, xcr[m], xcrref[m], xcrdif[m]);
}
}
if (*class != 'U') {
printf(" Comparison of RMS-norms of solution error\n");
} else {
printf(" RMS-norms of solution error\n");
}
for (m = 0; m < 5; m++) {
if (*class == 'U') {
printf(" %2d%20.13e\n", m, xce[m]);
} else if (xcedif[m] > epsilon) {
*verified = FALSE;
printf(" FAILURE: %2d%20.13e%20.13e%20.13e\n",
m, xce[m], xceref[m], xcedif[m]);
} else {
printf(" %2d%20.13e%20.13e%20.13e\n",
m, xce[m], xceref[m], xcedif[m]);
}
}
if (*class == 'U') {
printf(" No reference values provided\n");
printf(" No verification performed\n");
} else if (*verified == TRUE) {
printf(" Verification Successful\n");
} else {
printf(" Verification failed\n");
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void x_solve(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c
c Performs line solves in X direction by first factoring
c the block-tridiagonal matrix into an upper triangular matrix,
c and then performing back substitution to solve for the unknow
c vectors of each line.
c
c Make sure we treat elements zero to cell_size in the direction
c of the sweep.
c
c-------------------------------------------------------------------*/
lhsx();
x_solve_cell();
x_backsubstitute();
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void x_backsubstitute(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c back solve: if last cell, then generate U(isize)=rhs[isize)
c else assume U(isize) is loaded in un pack backsub_info
c so just use it
c after call u(istart) will be sent to next cell
c-------------------------------------------------------------------*/
int i, j, k, m, n;
for (i = grid_points[0]-2; i >= 0; i--) {
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < BLOCK_SIZE; m++) {
for (n = 0; n < BLOCK_SIZE; n++) {
rhs[i][j][k][m] = rhs[i][j][k][m]
- lhs[i][j][k][CC][m][n]*rhs[i+1][j][k][n];
}
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void x_solve_cell(void) {
/*--------------------------------------------------------------------
c performs guaussian elimination on this cell.
c
c assumes that unpacking routines for non-first cells
c preload C' and rhs' from previous cell.
c
c assumed send happens outside this routine, but that
c c'(IMAX) and rhs'(IMAX) will be sent to next cell
c-------------------------------------------------------------------*/
int i,j,k,isize;
isize = grid_points[0]-1;
/*--------------------------------------------------------------------
c outer most do loops - sweeping in i direction
c-------------------------------------------------------------------*/
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
/*--------------------------------------------------------------------
c multiply c(0,j,k) by b_inverse and copy back to c
c multiply rhs(0) by b_inverse(0) and copy to rhs
c-------------------------------------------------------------------*/
binvcrhs( lhs[0][j][k][BB],
lhs[0][j][k][CC],
rhs[0][j][k] );
}
}
/*--------------------------------------------------------------------
c begin inner most do loop
c do all the elements of the cell unless last
c-------------------------------------------------------------------*/
for (i = 1; i < isize; i++) {
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
/*--------------------------------------------------------------------
c rhs(i) = rhs(i) - A*rhs(i-1)
c-------------------------------------------------------------------*/
matvec_sub(lhs[i][j][k][AA],
rhs[i-1][j][k], rhs[i][j][k]);
/*--------------------------------------------------------------------
c B(i) = B(i) - C(i-1)*A(i)
c-------------------------------------------------------------------*/
matmul_sub(lhs[i][j][k][AA],
lhs[i-1][j][k][CC],
lhs[i][j][k][BB]);
/*--------------------------------------------------------------------
c multiply c(i,j,k) by b_inverse and copy back to c
c multiply rhs(1,j,k) by b_inverse(1,j,k) and copy to rhs
c-------------------------------------------------------------------*/
binvcrhs( lhs[i][j][k][BB],
lhs[i][j][k][CC],
rhs[i][j][k] );
}
}
}
#pragma omp for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = 1; k < grid_points[2]-1; k++) {
/*--------------------------------------------------------------------
c rhs(isize) = rhs(isize) - A*rhs(isize-1)
c-------------------------------------------------------------------*/
matvec_sub(lhs[isize][j][k][AA],
rhs[isize-1][j][k], rhs[isize][j][k]);
/*--------------------------------------------------------------------
c B(isize) = B(isize) - C(isize-1)*A(isize)
c-------------------------------------------------------------------*/
matmul_sub(lhs[isize][j][k][AA],
lhs[isize-1][j][k][CC],
lhs[isize][j][k][BB]);
/*--------------------------------------------------------------------
c multiply rhs() by b_inverse() and copy to rhs
c-------------------------------------------------------------------*/
binvrhs( lhs[i][j][k][BB],
rhs[i][j][k] );
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void matvec_sub(double ablock[5][5], double avec[5], double bvec[5]) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c subtracts bvec=bvec - ablock*avec
c-------------------------------------------------------------------*/
int i;
for (i = 0; i < 5; i++) {
/*--------------------------------------------------------------------
c rhs(i,ic,jc,kc,ccell) = rhs(i,ic,jc,kc,ccell)
c $ - lhs[i,1,ablock,ia,ja,ka,acell)*
c-------------------------------------------------------------------*/
bvec[i] = bvec[i] - ablock[i][0]*avec[0]
- ablock[i][1]*avec[1]
- ablock[i][2]*avec[2]
- ablock[i][3]*avec[3]
- ablock[i][4]*avec[4];
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void matmul_sub(double ablock[5][5], double bblock[5][5],
double cblock[5][5]) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c subtracts a(i,j,k) X b(i,j,k) from c(i,j,k)
c-------------------------------------------------------------------*/
int j;
for (j = 0; j < 5; j++) {
cblock[0][j] = cblock[0][j] - ablock[0][0]*bblock[0][j]
- ablock[0][1]*bblock[1][j]
- ablock[0][2]*bblock[2][j]
- ablock[0][3]*bblock[3][j]
- ablock[0][4]*bblock[4][j];
cblock[1][j] = cblock[1][j] - ablock[1][0]*bblock[0][j]
- ablock[1][1]*bblock[1][j]
- ablock[1][2]*bblock[2][j]
- ablock[1][3]*bblock[3][j]
- ablock[1][4]*bblock[4][j];
cblock[2][j] = cblock[2][j] - ablock[2][0]*bblock[0][j]
- ablock[2][1]*bblock[1][j]
- ablock[2][2]*bblock[2][j]
- ablock[2][3]*bblock[3][j]
- ablock[2][4]*bblock[4][j];
cblock[3][j] = cblock[3][j] - ablock[3][0]*bblock[0][j]
- ablock[3][1]*bblock[1][j]
- ablock[3][2]*bblock[2][j]
- ablock[3][3]*bblock[3][j]
- ablock[3][4]*bblock[4][j];
cblock[4][j] = cblock[4][j] - ablock[4][0]*bblock[0][j]
- ablock[4][1]*bblock[1][j]
- ablock[4][2]*bblock[2][j]
- ablock[4][3]*bblock[3][j]
- ablock[4][4]*bblock[4][j];
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void binvcrhs(double lhs[5][5], double c[5][5], double r[5]) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
double pivot, coeff;
/*--------------------------------------------------------------------
c
c-------------------------------------------------------------------*/
pivot = 1.00/lhs[0][0];
lhs[0][1] = lhs[0][1]*pivot;
lhs[0][2] = lhs[0][2]*pivot;
lhs[0][3] = lhs[0][3]*pivot;
lhs[0][4] = lhs[0][4]*pivot;
c[0][0] = c[0][0]*pivot;
c[0][1] = c[0][1]*pivot;
c[0][2] = c[0][2]*pivot;
c[0][3] = c[0][3]*pivot;
c[0][4] = c[0][4]*pivot;
r[0] = r[0] *pivot;
coeff = lhs[1][0];
lhs[1][1]= lhs[1][1] - coeff*lhs[0][1];
lhs[1][2]= lhs[1][2] - coeff*lhs[0][2];
lhs[1][3]= lhs[1][3] - coeff*lhs[0][3];
lhs[1][4]= lhs[1][4] - coeff*lhs[0][4];
c[1][0] = c[1][0] - coeff*c[0][0];
c[1][1] = c[1][1] - coeff*c[0][1];
c[1][2] = c[1][2] - coeff*c[0][2];
c[1][3] = c[1][3] - coeff*c[0][3];
c[1][4] = c[1][4] - coeff*c[0][4];
r[1] = r[1] - coeff*r[0];
coeff = lhs[2][0];
lhs[2][1]= lhs[2][1] - coeff*lhs[0][1];
lhs[2][2]= lhs[2][2] - coeff*lhs[0][2];
lhs[2][3]= lhs[2][3] - coeff*lhs[0][3];
lhs[2][4]= lhs[2][4] - coeff*lhs[0][4];
c[2][0] = c[2][0] - coeff*c[0][0];
c[2][1] = c[2][1] - coeff*c[0][1];
c[2][2] = c[2][2] - coeff*c[0][2];
c[2][3] = c[2][3] - coeff*c[0][3];
c[2][4] = c[2][4] - coeff*c[0][4];
r[2] = r[2] - coeff*r[0];
coeff = lhs[3][0];
lhs[3][1]= lhs[3][1] - coeff*lhs[0][1];
lhs[3][2]= lhs[3][2] - coeff*lhs[0][2];
lhs[3][3]= lhs[3][3] - coeff*lhs[0][3];
lhs[3][4]= lhs[3][4] - coeff*lhs[0][4];
c[3][0] = c[3][0] - coeff*c[0][0];
c[3][1] = c[3][1] - coeff*c[0][1];
c[3][2] = c[3][2] - coeff*c[0][2];
c[3][3] = c[3][3] - coeff*c[0][3];
c[3][4] = c[3][4] - coeff*c[0][4];
r[3] = r[3] - coeff*r[0];
coeff = lhs[4][0];
lhs[4][1]= lhs[4][1] - coeff*lhs[0][1];
lhs[4][2]= lhs[4][2] - coeff*lhs[0][2];
lhs[4][3]= lhs[4][3] - coeff*lhs[0][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[0][4];
c[4][0] = c[4][0] - coeff*c[0][0];
c[4][1] = c[4][1] - coeff*c[0][1];
c[4][2] = c[4][2] - coeff*c[0][2];
c[4][3] = c[4][3] - coeff*c[0][3];
c[4][4] = c[4][4] - coeff*c[0][4];
r[4] = r[4] - coeff*r[0];
pivot = 1.00/lhs[1][1];
lhs[1][2] = lhs[1][2]*pivot;
lhs[1][3] = lhs[1][3]*pivot;
lhs[1][4] = lhs[1][4]*pivot;
c[1][0] = c[1][0]*pivot;
c[1][1] = c[1][1]*pivot;
c[1][2] = c[1][2]*pivot;
c[1][3] = c[1][3]*pivot;
c[1][4] = c[1][4]*pivot;
r[1] = r[1] *pivot;
coeff = lhs[0][1];
lhs[0][2]= lhs[0][2] - coeff*lhs[1][2];
lhs[0][3]= lhs[0][3] - coeff*lhs[1][3];
lhs[0][4]= lhs[0][4] - coeff*lhs[1][4];
c[0][0] = c[0][0] - coeff*c[1][0];
c[0][1] = c[0][1] - coeff*c[1][1];
c[0][2] = c[0][2] - coeff*c[1][2];
c[0][3] = c[0][3] - coeff*c[1][3];
c[0][4] = c[0][4] - coeff*c[1][4];
r[0] = r[0] - coeff*r[1];
coeff = lhs[2][1];
lhs[2][2]= lhs[2][2] - coeff*lhs[1][2];
lhs[2][3]= lhs[2][3] - coeff*lhs[1][3];
lhs[2][4]= lhs[2][4] - coeff*lhs[1][4];
c[2][0] = c[2][0] - coeff*c[1][0];
c[2][1] = c[2][1] - coeff*c[1][1];
c[2][2] = c[2][2] - coeff*c[1][2];
c[2][3] = c[2][3] - coeff*c[1][3];
c[2][4] = c[2][4] - coeff*c[1][4];
r[2] = r[2] - coeff*r[1];
coeff = lhs[3][1];
lhs[3][2]= lhs[3][2] - coeff*lhs[1][2];
lhs[3][3]= lhs[3][3] - coeff*lhs[1][3];
lhs[3][4]= lhs[3][4] - coeff*lhs[1][4];
c[3][0] = c[3][0] - coeff*c[1][0];
c[3][1] = c[3][1] - coeff*c[1][1];
c[3][2] = c[3][2] - coeff*c[1][2];
c[3][3] = c[3][3] - coeff*c[1][3];
c[3][4] = c[3][4] - coeff*c[1][4];
r[3] = r[3] - coeff*r[1];
coeff = lhs[4][1];
lhs[4][2]= lhs[4][2] - coeff*lhs[1][2];
lhs[4][3]= lhs[4][3] - coeff*lhs[1][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[1][4];
c[4][0] = c[4][0] - coeff*c[1][0];
c[4][1] = c[4][1] - coeff*c[1][1];
c[4][2] = c[4][2] - coeff*c[1][2];
c[4][3] = c[4][3] - coeff*c[1][3];
c[4][4] = c[4][4] - coeff*c[1][4];
r[4] = r[4] - coeff*r[1];
pivot = 1.00/lhs[2][2];
lhs[2][3] = lhs[2][3]*pivot;
lhs[2][4] = lhs[2][4]*pivot;
c[2][0] = c[2][0]*pivot;
c[2][1] = c[2][1]*pivot;
c[2][2] = c[2][2]*pivot;
c[2][3] = c[2][3]*pivot;
c[2][4] = c[2][4]*pivot;
r[2] = r[2] *pivot;
coeff = lhs[0][2];
lhs[0][3]= lhs[0][3] - coeff*lhs[2][3];
lhs[0][4]= lhs[0][4] - coeff*lhs[2][4];
c[0][0] = c[0][0] - coeff*c[2][0];
c[0][1] = c[0][1] - coeff*c[2][1];
c[0][2] = c[0][2] - coeff*c[2][2];
c[0][3] = c[0][3] - coeff*c[2][3];
c[0][4] = c[0][4] - coeff*c[2][4];
r[0] = r[0] - coeff*r[2];
coeff = lhs[1][2];
lhs[1][3]= lhs[1][3] - coeff*lhs[2][3];
lhs[1][4]= lhs[1][4] - coeff*lhs[2][4];
c[1][0] = c[1][0] - coeff*c[2][0];
c[1][1] = c[1][1] - coeff*c[2][1];
c[1][2] = c[1][2] - coeff*c[2][2];
c[1][3] = c[1][3] - coeff*c[2][3];
c[1][4] = c[1][4] - coeff*c[2][4];
r[1] = r[1] - coeff*r[2];
coeff = lhs[3][2];
lhs[3][3]= lhs[3][3] - coeff*lhs[2][3];
lhs[3][4]= lhs[3][4] - coeff*lhs[2][4];
c[3][0] = c[3][0] - coeff*c[2][0];
c[3][1] = c[3][1] - coeff*c[2][1];
c[3][2] = c[3][2] - coeff*c[2][2];
c[3][3] = c[3][3] - coeff*c[2][3];
c[3][4] = c[3][4] - coeff*c[2][4];
r[3] = r[3] - coeff*r[2];
coeff = lhs[4][2];
lhs[4][3]= lhs[4][3] - coeff*lhs[2][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[2][4];
c[4][0] = c[4][0] - coeff*c[2][0];
c[4][1] = c[4][1] - coeff*c[2][1];
c[4][2] = c[4][2] - coeff*c[2][2];
c[4][3] = c[4][3] - coeff*c[2][3];
c[4][4] = c[4][4] - coeff*c[2][4];
r[4] = r[4] - coeff*r[2];
pivot = 1.00/lhs[3][3];
lhs[3][4] = lhs[3][4]*pivot;
c[3][0] = c[3][0]*pivot;
c[3][1] = c[3][1]*pivot;
c[3][2] = c[3][2]*pivot;
c[3][3] = c[3][3]*pivot;
c[3][4] = c[3][4]*pivot;
r[3] = r[3] *pivot;
coeff = lhs[0][3];
lhs[0][4]= lhs[0][4] - coeff*lhs[3][4];
c[0][0] = c[0][0] - coeff*c[3][0];
c[0][1] = c[0][1] - coeff*c[3][1];
c[0][2] = c[0][2] - coeff*c[3][2];
c[0][3] = c[0][3] - coeff*c[3][3];
c[0][4] = c[0][4] - coeff*c[3][4];
r[0] = r[0] - coeff*r[3];
coeff = lhs[1][3];
lhs[1][4]= lhs[1][4] - coeff*lhs[3][4];
c[1][0] = c[1][0] - coeff*c[3][0];
c[1][1] = c[1][1] - coeff*c[3][1];
c[1][2] = c[1][2] - coeff*c[3][2];
c[1][3] = c[1][3] - coeff*c[3][3];
c[1][4] = c[1][4] - coeff*c[3][4];
r[1] = r[1] - coeff*r[3];
coeff = lhs[2][3];
lhs[2][4]= lhs[2][4] - coeff*lhs[3][4];
c[2][0] = c[2][0] - coeff*c[3][0];
c[2][1] = c[2][1] - coeff*c[3][1];
c[2][2] = c[2][2] - coeff*c[3][2];
c[2][3] = c[2][3] - coeff*c[3][3];
c[2][4] = c[2][4] - coeff*c[3][4];
r[2] = r[2] - coeff*r[3];
coeff = lhs[4][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[3][4];
c[4][0] = c[4][0] - coeff*c[3][0];
c[4][1] = c[4][1] - coeff*c[3][1];
c[4][2] = c[4][2] - coeff*c[3][2];
c[4][3] = c[4][3] - coeff*c[3][3];
c[4][4] = c[4][4] - coeff*c[3][4];
r[4] = r[4] - coeff*r[3];
pivot = 1.00/lhs[4][4];
c[4][0] = c[4][0]*pivot;
c[4][1] = c[4][1]*pivot;
c[4][2] = c[4][2]*pivot;
c[4][3] = c[4][3]*pivot;
c[4][4] = c[4][4]*pivot;
r[4] = r[4] *pivot;
coeff = lhs[0][4];
c[0][0] = c[0][0] - coeff*c[4][0];
c[0][1] = c[0][1] - coeff*c[4][1];
c[0][2] = c[0][2] - coeff*c[4][2];
c[0][3] = c[0][3] - coeff*c[4][3];
c[0][4] = c[0][4] - coeff*c[4][4];
r[0] = r[0] - coeff*r[4];
coeff = lhs[1][4];
c[1][0] = c[1][0] - coeff*c[4][0];
c[1][1] = c[1][1] - coeff*c[4][1];
c[1][2] = c[1][2] - coeff*c[4][2];
c[1][3] = c[1][3] - coeff*c[4][3];
c[1][4] = c[1][4] - coeff*c[4][4];
r[1] = r[1] - coeff*r[4];
coeff = lhs[2][4];
c[2][0] = c[2][0] - coeff*c[4][0];
c[2][1] = c[2][1] - coeff*c[4][1];
c[2][2] = c[2][2] - coeff*c[4][2];
c[2][3] = c[2][3] - coeff*c[4][3];
c[2][4] = c[2][4] - coeff*c[4][4];
r[2] = r[2] - coeff*r[4];
coeff = lhs[3][4];
c[3][0] = c[3][0] - coeff*c[4][0];
c[3][1] = c[3][1] - coeff*c[4][1];
c[3][2] = c[3][2] - coeff*c[4][2];
c[3][3] = c[3][3] - coeff*c[4][3];
c[3][4] = c[3][4] - coeff*c[4][4];
r[3] = r[3] - coeff*r[4];
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void binvrhs( double lhs[5][5], double r[5] ) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
double pivot, coeff;
/*--------------------------------------------------------------------
c
c-------------------------------------------------------------------*/
pivot = 1.00/lhs[0][0];
lhs[0][1] = lhs[0][1]*pivot;
lhs[0][2] = lhs[0][2]*pivot;
lhs[0][3] = lhs[0][3]*pivot;
lhs[0][4] = lhs[0][4]*pivot;
r[0] = r[0] *pivot;
coeff = lhs[1][0];
lhs[1][1]= lhs[1][1] - coeff*lhs[0][1];
lhs[1][2]= lhs[1][2] - coeff*lhs[0][2];
lhs[1][3]= lhs[1][3] - coeff*lhs[0][3];
lhs[1][4]= lhs[1][4] - coeff*lhs[0][4];
r[1] = r[1] - coeff*r[0];
coeff = lhs[2][0];
lhs[2][1]= lhs[2][1] - coeff*lhs[0][1];
lhs[2][2]= lhs[2][2] - coeff*lhs[0][2];
lhs[2][3]= lhs[2][3] - coeff*lhs[0][3];
lhs[2][4]= lhs[2][4] - coeff*lhs[0][4];
r[2] = r[2] - coeff*r[0];
coeff = lhs[3][0];
lhs[3][1]= lhs[3][1] - coeff*lhs[0][1];
lhs[3][2]= lhs[3][2] - coeff*lhs[0][2];
lhs[3][3]= lhs[3][3] - coeff*lhs[0][3];
lhs[3][4]= lhs[3][4] - coeff*lhs[0][4];
r[3] = r[3] - coeff*r[0];
coeff = lhs[4][0];
lhs[4][1]= lhs[4][1] - coeff*lhs[0][1];
lhs[4][2]= lhs[4][2] - coeff*lhs[0][2];
lhs[4][3]= lhs[4][3] - coeff*lhs[0][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[0][4];
r[4] = r[4] - coeff*r[0];
pivot = 1.00/lhs[1][1];
lhs[1][2] = lhs[1][2]*pivot;
lhs[1][3] = lhs[1][3]*pivot;
lhs[1][4] = lhs[1][4]*pivot;
r[1] = r[1] *pivot;
coeff = lhs[0][1];
lhs[0][2]= lhs[0][2] - coeff*lhs[1][2];
lhs[0][3]= lhs[0][3] - coeff*lhs[1][3];
lhs[0][4]= lhs[0][4] - coeff*lhs[1][4];
r[0] = r[0] - coeff*r[1];
coeff = lhs[2][1];
lhs[2][2]= lhs[2][2] - coeff*lhs[1][2];
lhs[2][3]= lhs[2][3] - coeff*lhs[1][3];
lhs[2][4]= lhs[2][4] - coeff*lhs[1][4];
r[2] = r[2] - coeff*r[1];
coeff = lhs[3][1];
lhs[3][2]= lhs[3][2] - coeff*lhs[1][2];
lhs[3][3]= lhs[3][3] - coeff*lhs[1][3];
lhs[3][4]= lhs[3][4] - coeff*lhs[1][4];
r[3] = r[3] - coeff*r[1];
coeff = lhs[4][1];
lhs[4][2]= lhs[4][2] - coeff*lhs[1][2];
lhs[4][3]= lhs[4][3] - coeff*lhs[1][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[1][4];
r[4] = r[4] - coeff*r[1];
pivot = 1.00/lhs[2][2];
lhs[2][3] = lhs[2][3]*pivot;
lhs[2][4] = lhs[2][4]*pivot;
r[2] = r[2] *pivot;
coeff = lhs[0][2];
lhs[0][3]= lhs[0][3] - coeff*lhs[2][3];
lhs[0][4]= lhs[0][4] - coeff*lhs[2][4];
r[0] = r[0] - coeff*r[2];
coeff = lhs[1][2];
lhs[1][3]= lhs[1][3] - coeff*lhs[2][3];
lhs[1][4]= lhs[1][4] - coeff*lhs[2][4];
r[1] = r[1] - coeff*r[2];
coeff = lhs[3][2];
lhs[3][3]= lhs[3][3] - coeff*lhs[2][3];
lhs[3][4]= lhs[3][4] - coeff*lhs[2][4];
r[3] = r[3] - coeff*r[2];
coeff = lhs[4][2];
lhs[4][3]= lhs[4][3] - coeff*lhs[2][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[2][4];
r[4] = r[4] - coeff*r[2];
pivot = 1.00/lhs[3][3];
lhs[3][4] = lhs[3][4]*pivot;
r[3] = r[3] *pivot;
coeff = lhs[0][3];
lhs[0][4]= lhs[0][4] - coeff*lhs[3][4];
r[0] = r[0] - coeff*r[3];
coeff = lhs[1][3];
lhs[1][4]= lhs[1][4] - coeff*lhs[3][4];
r[1] = r[1] - coeff*r[3];
coeff = lhs[2][3];
lhs[2][4]= lhs[2][4] - coeff*lhs[3][4];
r[2] = r[2] - coeff*r[3];
coeff = lhs[4][3];
lhs[4][4]= lhs[4][4] - coeff*lhs[3][4];
r[4] = r[4] - coeff*r[3];
pivot = 1.00/lhs[4][4];
r[4] = r[4] *pivot;
coeff = lhs[0][4];
r[0] = r[0] - coeff*r[4];
coeff = lhs[1][4];
r[1] = r[1] - coeff*r[4];
coeff = lhs[2][4];
r[2] = r[2] - coeff*r[4];
coeff = lhs[3][4];
r[3] = r[3] - coeff*r[4];
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void y_solve(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Performs line solves in Y direction by first factoring
c the block-tridiagonal matrix into an upper triangular matrix][
c and then performing back substitution to solve for the unknow
c vectors of each line.
c
c Make sure we treat elements zero to cell_size in the direction
c of the sweep.
c-------------------------------------------------------------------*/
lhsy();
y_solve_cell();
y_backsubstitute();
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void y_backsubstitute(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c back solve: if last cell][ then generate U(jsize)=rhs(jsize)
c else assume U(jsize) is loaded in un pack backsub_info
c so just use it
c after call u(jstart) will be sent to next cell
c-------------------------------------------------------------------*/
int i, j, k, m, n;
for (j = grid_points[1]-2; j >= 0; j--) {
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (k = 1; k < grid_points[2]-1; k++) {
#pragma omp parallel for
for (m = 0; m < BLOCK_SIZE; m++) {
for (n = 0; n < BLOCK_SIZE; n++) {
rhs[i][j][k][m] = rhs[i][j][k][m]
- lhs[i][j][k][CC][m][n]*rhs[i][j+1][k][n];
}
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void y_solve_cell(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c performs guaussian elimination on this cell.
c
c assumes that unpacking routines for non-first cells
c preload C' and rhs' from previous cell.
c
c assumed send happens outside this routine, but that
c c'(JMAX) and rhs'(JMAX) will be sent to next cell
c-------------------------------------------------------------------*/
int i, j, k, jsize;
jsize = grid_points[1]-1;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (k = 1; k < grid_points[2]-1; k++) {
/*--------------------------------------------------------------------
c multiply c(i,0,k) by b_inverse and copy back to c
c multiply rhs(0) by b_inverse(0) and copy to rhs
c-------------------------------------------------------------------*/
binvcrhs( lhs[i][0][k][BB],
lhs[i][0][k][CC],
rhs[i][0][k] );
}
}
/*--------------------------------------------------------------------
c begin inner most do loop
c do all the elements of the cell unless last
c-------------------------------------------------------------------*/
for (j = 1; j < jsize; j++) {
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (k = 1; k < grid_points[2]-1; k++) {
/*--------------------------------------------------------------------
c subtract A*lhs_vector(j-1) from lhs_vector(j)
c
c rhs(j) = rhs(j) - A*rhs(j-1)
c-------------------------------------------------------------------*/
matvec_sub(lhs[i][j][k][AA],
rhs[i][j-1][k], rhs[i][j][k]);
/*--------------------------------------------------------------------
c B(j) = B(j) - C(j-1)*A(j)
c-------------------------------------------------------------------*/
matmul_sub(lhs[i][j][k][AA],
lhs[i][j-1][k][CC],
lhs[i][j][k][BB]);
/*--------------------------------------------------------------------
c multiply c(i,j,k) by b_inverse and copy back to c
c multiply rhs(i,1,k) by b_inverse(i,1,k) and copy to rhs
c-------------------------------------------------------------------*/
binvcrhs( lhs[i][j][k][BB],
lhs[i][j][k][CC],
rhs[i][j][k] );
}
}
}
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (k = 1; k < grid_points[2]-1; k++) {
/*--------------------------------------------------------------------
c rhs(jsize) = rhs(jsize) - A*rhs(jsize-1)
c-------------------------------------------------------------------*/
matvec_sub(lhs[i][jsize][k][AA],
rhs[i][jsize-1][k], rhs[i][jsize][k]);
/*--------------------------------------------------------------------
c B(jsize) = B(jsize) - C(jsize-1)*A(jsize)
c call matmul_sub(aa,i,jsize,k,c,
c $ cc,i,jsize-1,k,c,BB,i,jsize,k)
c-------------------------------------------------------------------*/
matmul_sub(lhs[i][jsize][k][AA],
lhs[i][jsize-1][k][CC],
lhs[i][jsize][k][BB]);
/*--------------------------------------------------------------------
c multiply rhs(jsize) by b_inverse(jsize) and copy to rhs
c-------------------------------------------------------------------*/
binvrhs( lhs[i][jsize][k][BB],
rhs[i][jsize][k] );
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void z_solve(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Performs line solves in Z direction by first factoring
c the block-tridiagonal matrix into an upper triangular matrix,
c and then performing back substitution to solve for the unknow
c vectors of each line.
c
c Make sure we treat elements zero to cell_size in the direction
c of the sweep.
c-------------------------------------------------------------------*/
lhsz();
z_solve_cell();
z_backsubstitute();
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void z_backsubstitute(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c back solve: if last cell, then generate U(ksize)=rhs(ksize)
c else assume U(ksize) is loaded in un pack backsub_info
c so just use it
c after call u(kstart) will be sent to next cell
c-------------------------------------------------------------------*/
int i, j, k, m, n;
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
#pragma omp parallel for
for (j = 1; j < grid_points[1]-1; j++) {
for (k = grid_points[2]-2; k >= 0; k--) {
for (m = 0; m < BLOCK_SIZE; m++) {
for (n = 0; n < BLOCK_SIZE; n++) {
rhs[i][j][k][m] = rhs[i][j][k][m]
- lhs[i][j][k][CC][m][n]*rhs[i][j][k+1][n];
}
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void z_solve_cell(void) {
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c performs guaussian elimination on this cell.
c
c assumes that unpacking routines for non-first cells
c preload C' and rhs' from previous cell.
c
c assumed send happens outside this routine, but that
c c'(KMAX) and rhs'(KMAX) will be sent to next cell.
c-------------------------------------------------------------------*/
int i,j,k,ksize;
ksize = grid_points[2]-1;
/*--------------------------------------------------------------------
c outer most do loops - sweeping in i direction
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (j = 1; j < grid_points[1]-1; j++) {
/*--------------------------------------------------------------------
c multiply c(i,j,0) by b_inverse and copy back to c
c multiply rhs(0) by b_inverse(0) and copy to rhs
c-------------------------------------------------------------------*/
binvcrhs( lhs[i][j][0][BB],
lhs[i][j][0][CC],
rhs[i][j][0] );
}
}
/*--------------------------------------------------------------------
c begin inner most do loop
c do all the elements of the cell unless last
c-------------------------------------------------------------------*/
for (k = 1; k < ksize; k++) {
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (j = 1; j < grid_points[1]-1; j++) {
/*--------------------------------------------------------------------
c subtract A*lhs_vector(k-1) from lhs_vector(k)
c
c rhs(k) = rhs(k) - A*rhs(k-1)
c-------------------------------------------------------------------*/
matvec_sub(lhs[i][j][k][AA],
rhs[i][j][k-1], rhs[i][j][k]);
/*--------------------------------------------------------------------
c B(k) = B(k) - C(k-1)*A(k)
c call matmul_sub(aa,i,j,k,c,cc,i,j,k-1,c,BB,i,j,k)
c-------------------------------------------------------------------*/
matmul_sub(lhs[i][j][k][AA],
lhs[i][j][k-1][CC],
lhs[i][j][k][BB]);
/*--------------------------------------------------------------------
c multiply c(i,j,k) by b_inverse and copy back to c
c multiply rhs(i,j,1) by b_inverse(i,j,1) and copy to rhs
c-------------------------------------------------------------------*/
binvcrhs( lhs[i][j][k][BB],
lhs[i][j][k][CC],
rhs[i][j][k] );
}
}
}
/*--------------------------------------------------------------------
c Now finish up special cases for last cell
c-------------------------------------------------------------------*/
#pragma omp for
for (i = 1; i < grid_points[0]-1; i++) {
for (j = 1; j < grid_points[1]-1; j++) {
/*--------------------------------------------------------------------
c rhs(ksize) = rhs(ksize) - A*rhs(ksize-1)
c-------------------------------------------------------------------*/
matvec_sub(lhs[i][j][ksize][AA],
rhs[i][j][ksize-1], rhs[i][j][ksize]);
/*--------------------------------------------------------------------
c B(ksize) = B(ksize) - C(ksize-1)*A(ksize)
c call matmul_sub(aa,i,j,ksize,c,
c $ cc,i,j,ksize-1,c,BB,i,j,ksize)
c-------------------------------------------------------------------*/
matmul_sub(lhs[i][j][ksize][AA],
lhs[i][j][ksize-1][CC],
lhs[i][j][ksize][BB]);
/*--------------------------------------------------------------------
c multiply rhs(ksize) by b_inverse(ksize) and copy to rhs
c-------------------------------------------------------------------*/
binvrhs( lhs[i][j][ksize][BB],
rhs[i][j][ksize] );
}
}
}
|
multistage-peeling.c |
/******************************************************************************
* INCLUDES
*****************************************************************************/
#include "kt.h"
#include "kt_thread.h"
#include "kt_sbucket.h"
#include <stdbool.h>
#include <inttypes.h>
#include <omp.h>
/*
* Size of chunk in dynamic for loops. Smaller values have been shown to be
* very bad.
*/
#ifndef DYNAMIC_CHUNK
#define DYNAMIC_CHUNK 16
#endif
/*
* Minimum size of frontier to bother with parallelizing the computation.
*/
#ifndef MIN_PAR_SIZE
#define MIN_PAR_SIZE 1
#endif
#define TIMER_PADDING 8
static double frontier_times[KT_MAX_THREADS * TIMER_PADDING] = { 0. };
static double update_times[KT_MAX_THREADS * TIMER_PADDING] = { 0. };
/******************************************************************************
* TYPES
*****************************************************************************/
/*
* Modified non-zero in CSR structures, but include inc/dec to act as a
* doubly-linked list.
*/
typedef struct
{
int32_t vj;
int32_t dec;
int32_t inc;
} aii_s;
/*
* Modified rowptr from CSR structures, but includes start/end that we shrink.
*/
typedef struct
{
int64_t start;
int64_t end;
} xaii_s;
/*
* Dynamic graph structure.
*/
typedef struct
{
int32_t nvtxs;
int64_t nedges; /* number of unique edges */
int64_t total_support;
int32_t * supports;
/* maps aii[] space into edge_t[] space */
ssize_t * ids;
xaii_s * xaii;
aii_s * aii;
} dyn_graph_t;
/******************************************************************************
* PRIVATE FUNCTIONS
*****************************************************************************/
static dyn_graph_t * p_dgraph_alloc(
int32_t const nvtxs,
int64_t const nedges)
{
dyn_graph_t * d_graph = gk_malloc(sizeof(*d_graph), "d_graph");
d_graph->nvtxs = nvtxs;
d_graph->nedges = nedges;
d_graph->xaii = gk_malloc((nvtxs+1) * sizeof(*d_graph->xaii), "xaii");
d_graph->aii = gk_malloc((2*nedges+1) * sizeof(*d_graph->aii), "aii");
d_graph->ids = gk_malloc((2*nedges+1) * sizeof(*d_graph->ids), "ids");
d_graph->supports = gk_malloc(nedges * sizeof(*d_graph->supports), "supports");
/* Go ahead and memset them in parallel to establish NUMA placement */
par_memset(d_graph->xaii, 0, (nvtxs + 1) * sizeof(*d_graph->xaii));
par_memset(d_graph->aii, 0, (2 * nedges + 1) * sizeof(*d_graph->aii));
par_memset(d_graph->supports, 0, nedges * sizeof(*d_graph->supports));
size_t bytes = 0;
bytes += (nvtxs + 1) * sizeof(*d_graph->xaii);
bytes += (2 * nedges + 1) * sizeof(*d_graph->aii);
bytes += (2 * nedges + 1) * sizeof(*d_graph->ids);
bytes += nedges * sizeof(*d_graph->supports);
printf("DYN-GRAPH-BYTES: %0.2fGB\n",
(double) bytes / (1024 * 1024 * 1024));
return d_graph;
}
static void p_dgraph_free(
dyn_graph_t * d_graph)
{
gk_free((void **) &d_graph->aii, LTERM);
gk_free((void **) &d_graph->xaii, LTERM);
gk_free((void **) &d_graph->ids, LTERM);
gk_free((void **) &d_graph->supports, LTERM);
gk_free((void **) &d_graph, LTERM);
}
static void p_init_dgraph(
dyn_graph_t * dgraph,
gk_graph_t const * const ugraph,
edge_t * const edges)
{
/* extract data */
int32_t const nvtxs = ugraph->nvtxs;
ssize_t const * const restrict xadj = ugraph->xadj;
int32_t const * const restrict adjncy = ugraph->adjncy;
int32_t const * const restrict adjwgt = ugraph->iadjwgt;
xaii_s * const restrict xaii = dgraph->xaii;
aii_s * const restrict aii = dgraph->aii;
ssize_t * const restrict ids = dgraph->ids;
int32_t * const restrict supports = dgraph->supports;
/* initialize the start of each adj. list */
#pragma omp parallel for
for(int32_t vi=0; vi < nvtxs; ++vi) {
dgraph->xaii[vi].start = 0;
}
/* Determine size of each adj. list */
int64_t edge_ptr = 0;
for(int32_t vi=0; vi < nvtxs; ++vi) {
for(ssize_t ei = xadj[vi]; ei < xadj[vi+1]; ++ei) {
if (adjwgt[ei] == 0) {
continue;
}
xaii[vi].start++;
xaii[adjncy[ei]].start++;
edges[edge_ptr].vi = vi;
edges[edge_ptr].vj = adjncy[ei];
supports[edge_ptr] = adjwgt[ei];
edge_ptr++;
}
}
/* the MAKECSR equivalent */
for(int32_t vi=1; vi < nvtxs; ++vi) {
xaii[vi].start += xaii[vi-1].start;
}
for(int32_t vi=nvtxs; vi > 0; --vi) {
xaii[vi].start = xaii[vi-1].start;
}
xaii[0].start = 0;
/* populate dgraph two steps to ensure that sorted order is maintained */
edge_ptr = 0;
for(int32_t vi=0; vi < nvtxs; ++vi) {
for(ssize_t ei = xadj[vi]; ei < xadj[vi+1]; ++ei) {
if (adjwgt[ei] == 0) {
continue;
}
int32_t const vj = adjncy[ei];
aii[xaii[vj].start].vj = vi;
aii[xaii[vj].start].inc = 1;
aii[xaii[vj].start].dec = 1;
ids[xaii[vj].start] = edge_ptr;
edges[edge_ptr].eji = xaii[vj].start++;
edge_ptr++;
}
}
edge_ptr = 0;
for(int32_t vi=0; vi < nvtxs; ++vi) {
for(ssize_t ei = xadj[vi]; ei < xadj[vi+1]; ++ei) {
if (adjwgt[ei] == 0) {
continue;
}
aii[xaii[vi].start].vj = adjncy[ei];
aii[xaii[vi].start].inc = 1;
aii[xaii[vi].start].dec = 1;
ids[xaii[vi].start] = edge_ptr;
edges[edge_ptr].eij = xaii[vi].start++;
edge_ptr++;
}
}
/* the SHIFTCSR equivalent */
for(int32_t vi=nvtxs; vi > 0; --vi) {
xaii[vi].start = xaii[vi-1].start;
}
xaii[0].start = 0;
/* record the end in xaii[vi] and from now own, you will be using that */
for(int32_t vi=0; vi < nvtxs; ++vi) {
xaii[vi].end = xaii[vi+1].start;
}
}
static inline void p_intersect_lists(
dyn_graph_t * const dgraph,
int32_t const vi,
int32_t const vj,
thread_ws * ws,
int32_t const * const supports,
int64_t const edge_id,
int32_t const min_support)
{
assert(vi < vj);
int32_t num_triangles = supports[edge_id];
xaii_s const * const restrict xaii = dgraph->xaii;
aii_s const * const restrict aii = dgraph->aii;
ssize_t const * const restrict ids = dgraph->ids;
int64_t ei = xaii[vi].end-1;
int64_t ej = xaii[vj].end-1;
int64_t const eistart = xaii[vi].start;
int64_t const ejstart = xaii[vj].start;
/* decrease the support of the intersection */
while (ei >= eistart && ej >= ejstart) {
int32_t const vik = aii[ei].vj;
int32_t const vjk = aii[ej].vj;
if (vik > vjk) {
ei -= aii[ei].dec;
} else if (vjk > vik) {
ej -= aii[ej].dec;
} else {
/* intersection! */
/*
* We need to queue the triangle for support updates. But, in order to
* avoid duplicate triangle generation, we look at the other two edges
* and ensure that we only queue the lowest-edge which is in the
* frontier.
*
* Thus, we queue this triangle if it is the lowest-ID edge OR if the
* lower-ID edges are not also in the frontier.
*/
int32_t const edge_ei = ids[ei];
int32_t const edge_ej = ids[ej];
int64_t const min_edge = gk_min(edge_ei, edge_ej);
int32_t const min_edge_support = supports[min_edge];
int64_t min_deleted_edge = edge_id;
if((edge_ei < edge_id) && (supports[edge_ei] < min_support)) {
min_deleted_edge = edge_ei;
} else if((edge_ej < edge_id) && (supports[edge_ej] < min_support)) {
min_deleted_edge = edge_ej;
}
/* if we should communicate */
if(edge_id == min_deleted_edge) {
triangle_t tri;
/* sorting network so that u < v < w */
tri.u = gk_min(vi, vik);
tri.v = gk_min(gk_max(vi, vik), vj);
tri.w = gk_max(vik, vj);
tri.uv = edge_ei;
tri.vw = edge_ej;
int const dest = map_vtx_to_bucket(tri.u, ws);
send_thread_tri_msg(&tri, dest, ws);
}
/* exit if we found all of the triangles */
if(--num_triangles == 0) {
break;
}
ei -= aii[ei].dec;
ej -= aii[ej].dec;
}
}
}
static inline void p_delete_edge(
xaii_s * const restrict xaii,
aii_s * const restrict aii,
int32_t const vi,
int64_t const e_id)
{
/* forward link */
if(e_id == xaii[vi].start) {
/* update start of list */
xaii[vi].start += aii[e_id].inc;
} else {
/* delete node, re-route previous to next */
aii[e_id - aii[e_id].dec].inc += aii[e_id].inc;
}
/* backwards link */
if(e_id == xaii[vi].end - 1) {
/* update end of list */
xaii[vi].end -= aii[e_id].dec;
} else {
/* delete node, re-route previous to next */
aii[e_id + aii[e_id].inc].dec += aii[e_id].dec;
}
}
static void p_serial_peel(
dyn_graph_t * dgraph,
edge_t * const edges,
int32_t const ktruss,
int64_t * const restrict frontier_buf,
int64_t const frontier_size,
support_bucket_t * sbuckets,
thread_ws * * thd_ws)
{
}
static int64_t p_gen_frontier(
dyn_graph_t * dgraph,
edge_t * const edges,
int32_t const ktruss,
int64_t * const restrict frontier_buf,
int64_t const frontier_size,
thread_ws * * thd_ws)
{
xaii_s * const restrict xaii = dgraph->xaii;
aii_s * const restrict aii = dgraph->aii;
int32_t * const restrict supports = dgraph->supports;
int32_t const min_support = ktruss - 2;
int64_t delta_support = 0;
int64_t delta_edges = 0;
#pragma omp parallel reduction(+: delta_edges, delta_support) \
if(frontier_size >= MIN_PAR_SIZE)
{
int const tid = omp_get_thread_num();
double my_timer;
gk_clearwctimer(my_timer);
gk_startwctimer(my_timer);
/* Find edges to delete and discover triangles */
#pragma omp for schedule(dynamic, DYNAMIC_CHUNK) nowait
for(int64_t e_ptr = 0; e_ptr < frontier_size; ++e_ptr) {
/* grab edge ID */
int64_t const e = frontier_buf[e_ptr];
assert(supports[e] < min_support);
if(supports[e] > 0) {
int32_t const vi = edges[e].vi;
int32_t const vj = edges[e].vj;
assert(vi < vj);
p_intersect_lists(dgraph, vi, vj, thd_ws[tid], supports, e,
min_support);
}
/* Send both sides of the edge. */
epair_t msg;
msg.key = edges[e].vi;
msg.val = edges[e].eij;
send_thread_epair_msg(&msg,
map_vtx_to_bucket(msg.key, thd_ws[tid]),
thd_ws[tid]);
msg.key = edges[e].vj;
msg.val = edges[e].eji;
send_thread_epair_msg(&msg,
map_vtx_to_bucket(msg.key, thd_ws[tid]),
thd_ws[tid]);
++delta_edges;
delta_support += supports[e];
/* (k-1) was the last valid k-truss for this edge */
supports[e] = -(ktruss - 1);
} /* foreach edge */
/* ensure all edges have been queued */
gk_stopwctimer(my_timer);
#pragma omp barrier
gk_startwctimer(my_timer);
/* actually delete edges from structure */
int const num_buckets = thd_ws[tid]->num_buckets;
#pragma omp for schedule(dynamic, 1) nowait
for(int bucket=0; bucket < num_buckets; ++bucket) {
int64_t num_del_edges = 0;
epair_t * const del_pairs =
get_incoming_epair_bucket(thd_ws, bucket, &num_del_edges);
for(int32_t m=0; m < num_del_edges; ++m) {
int64_t const e_id = del_pairs[m].val;
int32_t const vi = del_pairs[m].key;
p_delete_edge(xaii, aii, vi, e_id);
}
} /* foreach bucket */
gk_stopwctimer(my_timer);
frontier_times[omp_get_thread_num() * TIMER_PADDING] = my_timer;
} /* omp parallel */
dgraph->total_support -= delta_support;
return delta_edges;
}
static int64_t p_update_supports(
dyn_graph_t * dgraph,
edge_t * edges,
int32_t const ktruss,
support_bucket_t * sbuckets,
thread_ws * * thd_ws,
int64_t const frontier_size)
{
int const num_buckets = thd_ws[0]->num_buckets;
int32_t * const restrict supports = dgraph->supports;
int64_t nchanges = 0;
#pragma omp parallel reduction(+: nchanges) \
if(frontier_size > MIN_PAR_SIZE)
{
int const tid = omp_get_thread_num();
int const nthreads = omp_get_num_threads();
double my_timer;
gk_clearwctimer(my_timer);
gk_startwctimer(my_timer);
/* go over incoming messages coming from each thread */
#pragma omp for schedule(dynamic, 1) nowait
for(int bucket=0; bucket < num_buckets; ++bucket) {
/* grab bucket data */
int32_t num_triangles = 0;
triangle_t * const triangles =
get_incoming_triangle_bucket(thd_ws, bucket, &num_triangles);
for(int t=0; t < num_triangles; ++t) {
triangle_t const * const tri = &(triangles[t]);
assert(tri->u < tri->v);
assert(tri->v < tri->w);
assert(tri->uv < dgraph->nedges);
assert(tri->vw < dgraph->nedges);
/* decrement first edge */
int64_t const edge_id = tri->uv;
if(supports[edge_id] > 0) {
supports[edge_id]--;
if(map_edge_to_bucket(edge_id, thd_ws[tid]) == bucket) {
sbucket_update_edge(&(sbuckets[bucket]), edge_id, supports[edge_id],
ktruss);
} else {
/* prepare to update support-based bucket */
int const edge_bucket = map_edge_to_bucket(edge_id, thd_ws[tid]);
send_thread_edge_msg(edge_id, edge_bucket, thd_ws[tid], 1);
}
++nchanges;
}
/* process second edge */
int const bucket_dest = map_vtx_to_bucket(tri->w, thd_ws[tid]);
if(bucket_dest == tri->w) {
int64_t const edge_id = tri->vw;
if(supports[edge_id] > 0) {
supports[edge_id]--;
if(map_edge_to_bucket(edge_id, thd_ws[tid]) == bucket) {
sbucket_update_edge(&(sbuckets[bucket]), edge_id, supports[edge_id],
ktruss);
} else {
/* prepare to update support-based bucket */
int const edge_bucket = map_edge_to_bucket(edge_id, thd_ws[tid]);
send_thread_edge_msg(edge_id, edge_bucket, thd_ws[tid], 1);
}
++nchanges;
}
} else {
/* communicate and process in the next pass */
send_thread_edge_msg(tri->vw, bucket_dest, thd_ws[tid], 0);
}
}
} /* foreach bucket */
gk_stopwctimer(my_timer);
#pragma omp barrier
gk_startwctimer(my_timer);
#pragma omp for schedule(dynamic, 1) nowait
for(int bucket=0; bucket < num_buckets; ++bucket) {
int64_t num_edges = 0;
int64_t * const edges =
get_incoming_edge_bucket(thd_ws, bucket, &num_edges, 0);
for(int64_t e=0; e < num_edges; ++e) {
int64_t const edge_id = edges[e];
if(supports[edge_id] > 0) {
supports[edge_id]--;
/* send to next stage */
if(map_edge_to_bucket(edge_id, thd_ws[tid]) == bucket) {
sbucket_update_edge(&(sbuckets[bucket]), edge_id, supports[edge_id],
ktruss);
} else {
int const edge_bucket = map_edge_to_bucket(edge_id, thd_ws[tid]);
send_thread_edge_msg(edge_id, edge_bucket, thd_ws[tid], 1);
}
++nchanges;
}
}
} /* foreach bucket */
gk_stopwctimer(my_timer);
#pragma omp barrier
gk_startwctimer(my_timer);
/* finally, update all support-based buckets */
#pragma omp for schedule(dynamic, 1) nowait
for(int bucket=0; bucket < num_buckets; ++bucket) {
int64_t num_edges = 0;
int64_t * const edges =
get_incoming_edge_bucket(thd_ws, bucket, &num_edges, 1);
/* foreach edge in bucket */
for(int64_t e=0; e < num_edges; ++e) {
int64_t const edge_id = edges[e];
sbucket_update_edge(&(sbuckets[bucket]), edge_id, supports[edge_id],
ktruss);
}
} /* foreach bucket */
gk_stopwctimer(my_timer);
update_times[omp_get_thread_num() * TIMER_PADDING] = my_timer;
} /* end omp parallel */
return nchanges;
}
/******************************************************************************
* PUBLIC FUNCTIONS
*****************************************************************************/
/*
* k-truss via parallel multi-stage peeling.
*/
int64_t kt_msp(params_t *params, vault_t *vault)
{
gk_startwctimer(vault->timer_tcsetup);
vault->ugraph = kt_PreprocessAndExtractUpper(params, vault);
vault->lgraph = kt_TransposeUforJIK(params, vault->ugraph);
/* Pull these out to save typing. */
int32_t const nvtxs = vault->ugraph->nvtxs;
ssize_t const * const restrict xadj = vault->ugraph->xadj;
int32_t const * const restrict adjncy = vault->ugraph->adjncy;
/* where the support values will be stored */
vault->ugraph->iadjwgt = gk_i32malloc(xadj[nvtxs], "adjwgt");
int32_t * const iadjwgt = vault->ugraph->iadjwgt;
par_memset(iadjwgt, 0, xadj[nvtxs] * sizeof(*iadjwgt));
gk_stopwctimer(vault->timer_tcsetup);
gk_startwctimer(vault->timer_esupport);
int64_t ntriangles = kt_ComputeEdgeSupportPar(params, vault);
gk_stopwctimer(vault->timer_esupport);
gk_graph_Free(&(vault->lgraph));
gk_startwctimer(vault->timer_ktsetup);
/*
* Allocate/initialize edges. We only bother with edges that have non-zero
* support.
*/
int64_t nedges = count_nnz(xadj[nvtxs], iadjwgt);
edge_t * edges = gk_malloc((nedges+1) * sizeof(*edges), "edges");
par_memset(edges, 0, (nedges + 1) * sizeof(*edges));
/* Allocate and fill the dynamic graph */
dyn_graph_t * dgraph = p_dgraph_alloc(nvtxs, nedges);
p_init_dgraph(dgraph, vault->ugraph, edges);
gk_stopwctimer(vault->timer_ktsetup);
size_t edge_bytes = (nedges+1) * sizeof(*edges);
printf("EDGES-BYTES: %0.3fGB\n",
(double) edge_bytes / (1024. * 1024. * 1024));
printf("#triangles before peeling: %"PRId64"\n", ntriangles);
ntriangles = 0;
int64_t edges_left = nedges;
dgraph->total_support = count_support(nedges, dgraph->supports);
printf("THREADS: %d\n", omp_get_max_threads());
printf("DYNAMIC_CHUNK: %d\n", DYNAMIC_CHUNK);
printf("KT_BUCKETS_PER_THREAD: %d\n", KT_BUCKETS_PER_THREAD);
printf("MIN_PAR_SIZE: %d\n", MIN_PAR_SIZE);
printf("\n");
thread_ws * * thd_ws = alloc_thread_ws_big(vault->graph);
/* Setup support-based buckets. */
support_bucket_t * support_buckets = sbucket_alloc(edges, dgraph->supports,
dgraph->nedges, thd_ws);
/* XXX should be much smaller and resize.. */
int64_t * frontier_buf = gk_malloc(dgraph->nedges * sizeof(*frontier_buf),
"frontier_buf");
/*
* Main loop.
*/
/* initial status */
printf("k: %7d; edges-left: %7"PRId64" (%6.2f%%), total-support: %7"PRId64", time (s): %6.3f\n",
3, edges_left, 100. * (double)edges_left / (double)nedges,
dgraph->total_support,
0.);
/* timers */
double timer_currk;
double timer_frontier;
double timer_updates;
double total_frontier_time;
double total_update_time;
gk_clearwctimer(timer_currk);
gk_clearwctimer(timer_frontier);
gk_clearwctimer(timer_updates);
gk_clearwctimer(total_frontier_time);
gk_clearwctimer(total_update_time);
gk_startwctimer(timer_currk);
gk_startwctimer(vault->timer_ktpeeling);
int32_t ktruss = 4;
while(edges_left > 0) {
gk_startwctimer(timer_frontier);
/* ktruss-3 is everything we need to remove */
int64_t const frontier_size = sbucket_get_frontier(support_buckets,
ktruss-3, frontier_buf);
int64_t const delta_edges = p_gen_frontier(dgraph, edges, ktruss,
frontier_buf, frontier_size, thd_ws);
gk_stopwctimer(timer_frontier);
int64_t delta_support;
gk_startwctimer(timer_updates);
if(delta_edges < edges_left) {
delta_support = p_update_supports(dgraph, edges, ktruss,
support_buckets, thd_ws, frontier_size);
} else {
/* if we have removed the remaining edges */
delta_support = dgraph->total_support;
dgraph->total_support = 0;
}
gk_stopwctimer(timer_updates);
#if 0
printf(" frontier:");
thread_time_stats(frontier_times, omp_get_max_threads(), TIMER_PADDING);
printf(" supports:");
thread_time_stats(update_times, omp_get_max_threads(), TIMER_PADDING);
#endif
edges_left -= delta_edges;
dgraph->total_support -= delta_support;
if(edges_left == 0 || (delta_edges == 0 && delta_support == 0)) {
gk_stopwctimer(timer_currk);
printf("k: %7d; edges-left: %7"PRId64" (%6.2f%%), total-support: %7"PRId64", time (s): %6.3f\n",
ktruss, edges_left, 100. * (double)edges_left / (double)nedges,
dgraph->total_support,
timer_currk);
#if 0
printf(" frontier: %6.3fs, updates: %6.3fs\n",
timer_frontier, timer_updates);
#endif
total_frontier_time += timer_frontier;
total_update_time += timer_updates;
++ktruss;
gk_clearwctimer(timer_frontier);
gk_clearwctimer(timer_updates);
gk_clearwctimer(timer_currk);
gk_startwctimer(timer_currk);
}
} /* end main loop */
gk_stopwctimer(vault->timer_ktpeeling);
printf("\n");
#if 0
printf("FRONTIER: %0.3fs UPDATE: %0.3fs\n",
total_frontier_time, total_update_time);
#endif
printf("#triangles after peeling: %"PRId64"\n", ntriangles);
/* adjust for */
if(params->outfile != NULL) {
#pragma omp parallel for schedule(static)
for(int64_t e=0; e < nedges; ++e) {
dgraph->supports[e] += 2;
}
/* create the output of the decomposition */
kt_Sups2KTEdges(params, vault, ktruss-1, dgraph->supports);
}
/*
* Cleanup.
*/
p_dgraph_free(dgraph);
gk_free((void **)&edges, LTERM);
gk_free((void **)&frontier_buf, LTERM);
free_thread_ws(thd_ws);
sbucket_free(support_buckets);
return ntriangles;
}
|
nesting-1.c | /* { dg-do compile } */
/* { dg-options "-fopenmp" } */
void
f1 (void)
{
int i, j;
#pragma omp for
for (i = 0; i < 3; i++)
{
#pragma omp for /* { dg-error "may not be closely nested" } */
for (j = 0; j < 3; j++)
;
#pragma omp sections /* { dg-error "may not be closely nested" } */
{
;
#pragma omp section
;
}
#pragma omp single /* { dg-error "may not be closely nested" } */
;
#pragma omp master /* { dg-error "may not be closely nested" } */
;
#pragma omp barrier /* { dg-error "may not be closely nested" } */
}
#pragma omp sections
{
#pragma omp for /* { dg-error "may not be closely nested" } */
for (j = 0; j < 3; j++)
;
}
#pragma omp sections
{
#pragma omp sections /* { dg-error "may not be closely nested" } */
{
;
#pragma omp section
;
}
}
#pragma omp sections
{
#pragma omp single /* { dg-error "may not be closely nested" } */
;
}
#pragma omp sections
{
#pragma omp master /* { dg-error "may not be closely nested" } */
;
}
#pragma omp sections
{
#pragma omp section
;
}
#pragma omp sections
{
#pragma omp section
#pragma omp for /* { dg-error "may not be closely nested" } */
for (j = 0; j < 3; j++)
;
}
#pragma omp sections
{
#pragma omp section
#pragma omp sections /* { dg-error "may not be closely nested" } */
{
;
#pragma omp section
;
}
}
#pragma omp sections
{
#pragma omp section
#pragma omp single /* { dg-error "may not be closely nested" } */
;
}
#pragma omp sections
{
#pragma omp section
#pragma omp master /* { dg-error "may not be closely nested" } */
;
}
#pragma omp single
{
#pragma omp for /* { dg-error "may not be closely nested" } */
for (j = 0; j < 3; j++)
;
#pragma omp sections /* { dg-error "may not be closely nested" } */
{
;
#pragma omp section
;
}
#pragma omp single /* { dg-error "may not be closely nested" } */
;
#pragma omp master /* { dg-error "may not be closely nested" } */
;
#pragma omp barrier /* { dg-error "may not be closely nested" } */
}
#pragma omp master
{
#pragma omp for /* { dg-error "may not be closely nested" } */
for (j = 0; j < 3; j++)
;
#pragma omp sections /* { dg-error "may not be closely nested" } */
{
;
#pragma omp section
;
}
#pragma omp single /* { dg-error "may not be closely nested" } */
;
#pragma omp master
;
#pragma omp barrier /* { dg-error "may not be closely nested" } */
}
#pragma omp task
{
#pragma omp for /* { dg-error "may not be closely nested" } */
for (j = 0; j < 3; j++)
;
#pragma omp sections /* { dg-error "may not be closely nested" } */
{
;
#pragma omp section
;
}
#pragma omp single /* { dg-error "may not be closely nested" } */
;
#pragma omp master /* { dg-error "may not be closely nested" } */
;
#pragma omp barrier /* { dg-error "may not be closely nested" } */
}
#pragma omp parallel
{
#pragma omp for
for (j = 0; j < 3; j++)
;
#pragma omp sections
{
;
#pragma omp section
;
}
#pragma omp single
;
#pragma omp master
;
#pragma omp barrier
}
}
void
f2 (void)
{
int i, j;
#pragma omp ordered
{
#pragma omp for /* { dg-error "may not be closely nested" } */
for (j = 0; j < 3; j++)
;
#pragma omp sections /* { dg-error "may not be closely nested" } */
{
;
#pragma omp section
;
}
#pragma omp single /* { dg-error "may not be closely nested" } */
;
#pragma omp master
;
#pragma omp barrier /* { dg-error "may not be closely nested" } */
}
}
void
f3 (void)
{
#pragma omp critical
{
#pragma omp ordered /* { dg-error "may not be closely nested" } */
;
}
}
void
f4 (void)
{
#pragma omp task
{
#pragma omp ordered /* { dg-error "may not be closely nested" } */
;
}
}
void
f5 (void)
{
int i;
#pragma omp for
for (i = 0; i < 10; i++)
{
#pragma omp ordered /* { dg-error "must be closely nested" } */
;
}
#pragma omp for ordered
for (i = 0; i < 10; i++)
{
#pragma omp ordered
;
}
}
void
f6 (void)
{
#pragma omp critical (foo)
#pragma omp critical (bar)
;
#pragma omp critical
#pragma omp critical (baz)
;
}
void
f7 (void)
{
#pragma omp critical (foo2)
#pragma omp critical
;
#pragma omp critical (bar)
#pragma omp critical (bar) /* { dg-error "may not be nested" } */
;
#pragma omp critical
#pragma omp critical /* { dg-error "may not be nested" } */
;
}
|
par_vector.c | /******************************************************************************
* Copyright 1998-2019 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
/******************************************************************************
*
* Member functions for hypre_Vector class.
*
*****************************************************************************/
#include "_hypre_parcsr_mv.h"
HYPRE_Int hypre_FillResponseParToVectorAll(void*, HYPRE_Int, HYPRE_Int, void*, MPI_Comm, void**,
HYPRE_Int*);
/*--------------------------------------------------------------------------
* hypre_ParVectorCreate
*--------------------------------------------------------------------------*/
/* If create is called and partitioning is NOT null, then it is assumed that it
is array of length 2 containing the start row of the calling processor
followed by the start row of the next processor - AHB 6/05 */
hypre_ParVector *
hypre_ParVectorCreate( MPI_Comm comm,
HYPRE_BigInt global_size,
HYPRE_BigInt *partitioning_in )
{
hypre_ParVector *vector;
HYPRE_Int num_procs, my_id, local_size;
HYPRE_BigInt partitioning[2];
if (global_size < 0)
{
hypre_error_in_arg(2);
return NULL;
}
vector = hypre_CTAlloc(hypre_ParVector, 1, HYPRE_MEMORY_HOST);
hypre_MPI_Comm_rank(comm, &my_id);
if (!partitioning_in)
{
hypre_MPI_Comm_size(comm, &num_procs);
hypre_GenerateLocalPartitioning(global_size, num_procs, my_id, partitioning);
}
else
{
partitioning[0] = partitioning_in[0];
partitioning[1] = partitioning_in[1];
}
local_size = (HYPRE_Int) (partitioning[1] - partitioning[0]);
hypre_ParVectorAssumedPartition(vector) = NULL;
hypre_ParVectorComm(vector) = comm;
hypre_ParVectorGlobalSize(vector) = global_size;
hypre_ParVectorPartitioning(vector)[0] = partitioning[0];
hypre_ParVectorPartitioning(vector)[1] = partitioning[1];
hypre_ParVectorFirstIndex(vector) = hypre_ParVectorPartitioning(vector)[0];
hypre_ParVectorLastIndex(vector) = hypre_ParVectorPartitioning(vector)[1] - 1;
hypre_ParVectorLocalVector(vector) = hypre_SeqVectorCreate(local_size);
/* set defaults */
hypre_ParVectorOwnsData(vector) = 1;
hypre_ParVectorActualLocalSize(vector) = 0;
return vector;
}
/*--------------------------------------------------------------------------
* hypre_ParMultiVectorCreate
*--------------------------------------------------------------------------*/
hypre_ParVector *
hypre_ParMultiVectorCreate( MPI_Comm comm,
HYPRE_BigInt global_size,
HYPRE_BigInt *partitioning,
HYPRE_Int num_vectors )
{
/* note that global_size is the global length of a single vector */
hypre_ParVector *vector = hypre_ParVectorCreate( comm, global_size, partitioning );
hypre_ParVectorNumVectors(vector) = num_vectors;
return vector;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorDestroy
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorDestroy( hypre_ParVector *vector )
{
if (vector)
{
if ( hypre_ParVectorOwnsData(vector) )
{
hypre_SeqVectorDestroy(hypre_ParVectorLocalVector(vector));
}
if (hypre_ParVectorAssumedPartition(vector))
{
hypre_AssumedPartitionDestroy(hypre_ParVectorAssumedPartition(vector));
}
hypre_TFree(vector, HYPRE_MEMORY_HOST);
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorInitialize
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorInitialize_v2( hypre_ParVector *vector, HYPRE_MemoryLocation memory_location )
{
if (!vector)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
hypre_SeqVectorInitialize_v2(hypre_ParVectorLocalVector(vector), memory_location);
hypre_ParVectorActualLocalSize(vector) = hypre_VectorSize(hypre_ParVectorLocalVector(vector));
return hypre_error_flag;
}
HYPRE_Int
hypre_ParVectorInitialize( hypre_ParVector *vector )
{
return hypre_ParVectorInitialize_v2(vector, hypre_ParVectorMemoryLocation(vector));
}
/*--------------------------------------------------------------------------
* hypre_ParVectorSetDataOwner
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorSetDataOwner( hypre_ParVector *vector,
HYPRE_Int owns_data )
{
if (!vector)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
hypre_ParVectorOwnsData(vector) = owns_data;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorSetNumVectors
* call before calling hypre_ParVectorInitialize
* probably this will do more harm than good, use hypre_ParMultiVectorCreate
*--------------------------------------------------------------------------*/
#if 0
HYPRE_Int
hypre_ParVectorSetNumVectors( hypre_ParVector *vector,
HYPRE_Int num_vectors )
{
HYPRE_Int ierr = 0;
hypre_Vector *local_vector = hypre_ParVectorLocalVector(v);
hypre_SeqVectorSetNumVectors( local_vector, num_vectors );
return ierr;
}
#endif
/*--------------------------------------------------------------------------
* hypre_ParVectorRead
*--------------------------------------------------------------------------*/
hypre_ParVector*
hypre_ParVectorRead( MPI_Comm comm,
const char *file_name )
{
char new_file_name[80];
hypre_ParVector *par_vector;
HYPRE_Int my_id;
HYPRE_BigInt partitioning[2];
HYPRE_BigInt global_size;
FILE *fp;
hypre_MPI_Comm_rank(comm, &my_id);
hypre_sprintf(new_file_name, "%s.INFO.%d", file_name, my_id);
fp = fopen(new_file_name, "r");
hypre_fscanf(fp, "%b\n", &global_size);
hypre_fscanf(fp, "%b\n", &partitioning[0]);
hypre_fscanf(fp, "%b\n", &partitioning[1]);
fclose (fp);
par_vector = hypre_CTAlloc(hypre_ParVector, 1, HYPRE_MEMORY_HOST);
hypre_ParVectorComm(par_vector) = comm;
hypre_ParVectorGlobalSize(par_vector) = global_size;
hypre_ParVectorFirstIndex(par_vector) = partitioning[0];
hypre_ParVectorLastIndex(par_vector) = partitioning[1] - 1;
hypre_ParVectorPartitioning(par_vector)[0] = partitioning[0];
hypre_ParVectorPartitioning(par_vector)[1] = partitioning[1];
hypre_ParVectorOwnsData(par_vector) = 1;
hypre_sprintf(new_file_name, "%s.%d", file_name, my_id);
hypre_ParVectorLocalVector(par_vector) = hypre_SeqVectorRead(new_file_name);
/* multivector code not written yet */
hypre_assert( hypre_ParVectorNumVectors(par_vector) == 1 );
return par_vector;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorPrint
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorPrint( hypre_ParVector *vector,
const char *file_name )
{
char new_file_name[80];
hypre_Vector *local_vector;
MPI_Comm comm;
HYPRE_Int my_id;
HYPRE_BigInt *partitioning;
HYPRE_BigInt global_size;
FILE *fp;
if (!vector)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
local_vector = hypre_ParVectorLocalVector(vector);
comm = hypre_ParVectorComm(vector);
partitioning = hypre_ParVectorPartitioning(vector);
global_size = hypre_ParVectorGlobalSize(vector);
hypre_MPI_Comm_rank(comm, &my_id);
hypre_sprintf(new_file_name, "%s.%d", file_name, my_id);
hypre_SeqVectorPrint(local_vector, new_file_name);
hypre_sprintf(new_file_name, "%s.INFO.%d", file_name, my_id);
fp = fopen(new_file_name, "w");
hypre_fprintf(fp, "%b\n", global_size);
hypre_fprintf(fp, "%b\n", partitioning[0]);
hypre_fprintf(fp, "%b\n", partitioning[1]);
fclose(fp);
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorSetConstantValues
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorSetConstantValues( hypre_ParVector *v,
HYPRE_Complex value )
{
hypre_Vector *v_local = hypre_ParVectorLocalVector(v);
return hypre_SeqVectorSetConstantValues(v_local, value);
}
/*--------------------------------------------------------------------------
* hypre_ParVectorSetRandomValues
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorSetRandomValues( hypre_ParVector *v,
HYPRE_Int seed )
{
HYPRE_Int my_id;
hypre_Vector *v_local = hypre_ParVectorLocalVector(v);
MPI_Comm comm = hypre_ParVectorComm(v);
hypre_MPI_Comm_rank(comm, &my_id);
seed *= (my_id + 1);
return hypre_SeqVectorSetRandomValues(v_local, seed);
}
/*--------------------------------------------------------------------------
* hypre_ParVectorCopy
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorCopy( hypre_ParVector *x,
hypre_ParVector *y )
{
hypre_Vector *x_local = hypre_ParVectorLocalVector(x);
hypre_Vector *y_local = hypre_ParVectorLocalVector(y);
return hypre_SeqVectorCopy(x_local, y_local);
}
/*--------------------------------------------------------------------------
* hypre_ParVectorCloneShallow
* returns a complete copy of a hypre_ParVector x - a shallow copy, re-using
* the partitioning and data arrays of x
*--------------------------------------------------------------------------*/
hypre_ParVector *
hypre_ParVectorCloneShallow( hypre_ParVector *x )
{
hypre_ParVector * y =
hypre_ParVectorCreate(hypre_ParVectorComm(x), hypre_ParVectorGlobalSize(x),
hypre_ParVectorPartitioning(x));
hypre_ParVectorOwnsData(y) = 1;
/* ...This vector owns its local vector, although the local vector doesn't
* own _its_ data */
hypre_SeqVectorDestroy( hypre_ParVectorLocalVector(y) );
hypre_ParVectorLocalVector(y) = hypre_SeqVectorCloneShallow(hypre_ParVectorLocalVector(x) );
hypre_ParVectorFirstIndex(y) = hypre_ParVectorFirstIndex(x);
return y;
}
hypre_ParVector *
hypre_ParVectorCloneDeep_v2( hypre_ParVector *x, HYPRE_MemoryLocation memory_location )
{
hypre_ParVector *y =
hypre_ParVectorCreate(hypre_ParVectorComm(x), hypre_ParVectorGlobalSize(x),
hypre_ParVectorPartitioning(x));
hypre_ParVectorOwnsData(y) = 1;
hypre_SeqVectorDestroy( hypre_ParVectorLocalVector(y) );
hypre_ParVectorLocalVector(y) = hypre_SeqVectorCloneDeep_v2( hypre_ParVectorLocalVector(x),
memory_location );
hypre_ParVectorFirstIndex(y) = hypre_ParVectorFirstIndex(x); //RL: WHY HERE?
return y;
}
HYPRE_Int
hypre_ParVectorMigrate(hypre_ParVector *x, HYPRE_MemoryLocation memory_location)
{
if (!x)
{
return hypre_error_flag;
}
if ( hypre_GetActualMemLocation(memory_location) !=
hypre_GetActualMemLocation(hypre_ParVectorMemoryLocation(x)) )
{
hypre_Vector *x_local = hypre_SeqVectorCloneDeep_v2(hypre_ParVectorLocalVector(x), memory_location);
hypre_SeqVectorDestroy(hypre_ParVectorLocalVector(x));
hypre_ParVectorLocalVector(x) = x_local;
}
else
{
hypre_VectorMemoryLocation(hypre_ParVectorLocalVector(x)) = memory_location;
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorScale
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorScale( HYPRE_Complex alpha,
hypre_ParVector *y )
{
hypre_Vector *y_local = hypre_ParVectorLocalVector(y);
return hypre_SeqVectorScale( alpha, y_local);
}
/*--------------------------------------------------------------------------
* hypre_ParVectorAxpy
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorAxpy( HYPRE_Complex alpha,
hypre_ParVector *x,
hypre_ParVector *y )
{
hypre_Vector *x_local = hypre_ParVectorLocalVector(x);
hypre_Vector *y_local = hypre_ParVectorLocalVector(y);
return hypre_SeqVectorAxpy( alpha, x_local, y_local);
}
/*--------------------------------------------------------------------------
* hypre_ParVectorInnerProd
*--------------------------------------------------------------------------*/
HYPRE_Real
hypre_ParVectorInnerProd( hypre_ParVector *x,
hypre_ParVector *y )
{
MPI_Comm comm = hypre_ParVectorComm(x);
hypre_Vector *x_local = hypre_ParVectorLocalVector(x);
hypre_Vector *y_local = hypre_ParVectorLocalVector(y);
HYPRE_Real result = 0.0;
HYPRE_Real local_result = hypre_SeqVectorInnerProd(x_local, y_local);
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_ALL_REDUCE] -= hypre_MPI_Wtime();
#endif
hypre_MPI_Allreduce(&local_result, &result, 1, HYPRE_MPI_REAL,
hypre_MPI_SUM, comm);
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_ALL_REDUCE] += hypre_MPI_Wtime();
#endif
return result;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorElmdivpy
* y = y + x ./ b [MATLAB Notation]
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorElmdivpy( hypre_ParVector *x,
hypre_ParVector *b,
hypre_ParVector *y )
{
hypre_Vector *x_local = hypre_ParVectorLocalVector(x);
hypre_Vector *b_local = hypre_ParVectorLocalVector(b);
hypre_Vector *y_local = hypre_ParVectorLocalVector(y);
return hypre_SeqVectorElmdivpy(x_local, b_local, y_local);
}
/*--------------------------------------------------------------------------
* hypre_ParVectorElmdivpyMarked
* y[i] += x[i] / b[i] where marker[i] == marker_val
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorElmdivpyMarked( hypre_ParVector *x,
hypre_ParVector *b,
hypre_ParVector *y,
HYPRE_Int *marker,
HYPRE_Int marker_val )
{
hypre_Vector *x_local = hypre_ParVectorLocalVector(x);
hypre_Vector *b_local = hypre_ParVectorLocalVector(b);
hypre_Vector *y_local = hypre_ParVectorLocalVector(y);
return hypre_SeqVectorElmdivpyMarked(x_local, b_local, y_local, marker, marker_val);
}
/*--------------------------------------------------------------------------
* hypre_VectorToParVector:
* generates a ParVector from a Vector on proc 0 and distributes the pieces
* to the other procs in comm
*--------------------------------------------------------------------------*/
hypre_ParVector *
hypre_VectorToParVector ( MPI_Comm comm,
hypre_Vector *v,
HYPRE_BigInt *vec_starts )
{
HYPRE_BigInt global_size;
HYPRE_BigInt *global_vec_starts = NULL;
HYPRE_BigInt first_index;
HYPRE_BigInt last_index;
HYPRE_Int local_size;
HYPRE_Int num_vectors;
HYPRE_Int num_procs, my_id;
HYPRE_Int global_vecstride, vecstride, idxstride;
hypre_ParVector *par_vector;
hypre_Vector *local_vector;
HYPRE_Complex *v_data;
HYPRE_Complex *local_data;
hypre_MPI_Request *requests;
hypre_MPI_Status *status, status0;
HYPRE_Int i, j, k, p;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
if (my_id == 0)
{
global_size = (HYPRE_BigInt)hypre_VectorSize(v);
v_data = hypre_VectorData(v);
num_vectors = hypre_VectorNumVectors(v); /* for multivectors */
global_vecstride = hypre_VectorVectorStride(v);
}
hypre_MPI_Bcast(&global_size, 1, HYPRE_MPI_INT, 0, comm);
hypre_MPI_Bcast(&num_vectors, 1, HYPRE_MPI_INT, 0, comm);
hypre_MPI_Bcast(&global_vecstride, 1, HYPRE_MPI_INT, 0, comm);
if (num_vectors == 1)
{
par_vector = hypre_ParVectorCreate(comm, global_size, vec_starts);
}
else
{
par_vector = hypre_ParMultiVectorCreate(comm, global_size, vec_starts, num_vectors);
}
vec_starts = hypre_ParVectorPartitioning(par_vector);
first_index = hypre_ParVectorFirstIndex(par_vector);
last_index = hypre_ParVectorLastIndex(par_vector);
local_size = (HYPRE_Int)(last_index - first_index) + 1;
if (my_id == 0)
{
global_vec_starts = hypre_CTAlloc(HYPRE_BigInt, num_procs + 1, HYPRE_MEMORY_HOST);
}
hypre_MPI_Gather(&first_index, 1, HYPRE_MPI_BIG_INT, global_vec_starts,
1, HYPRE_MPI_BIG_INT, 0, comm);
if (my_id == 0)
{
global_vec_starts[num_procs] = hypre_ParVectorGlobalSize(par_vector);
}
hypre_ParVectorInitialize(par_vector);
local_vector = hypre_ParVectorLocalVector(par_vector);
local_data = hypre_VectorData(local_vector);
vecstride = hypre_VectorVectorStride(local_vector);
idxstride = hypre_VectorIndexStride(local_vector);
/* so far the only implemented multivector StorageMethod is 0 */
hypre_assert( idxstride == 1 );
if (my_id == 0)
{
requests = hypre_CTAlloc(hypre_MPI_Request, num_vectors * (num_procs - 1), HYPRE_MEMORY_HOST);
status = hypre_CTAlloc(hypre_MPI_Status, num_vectors * (num_procs - 1), HYPRE_MEMORY_HOST);
k = 0;
for (p = 1; p < num_procs; p++)
for (j = 0; j < num_vectors; ++j)
{
hypre_MPI_Isend( &v_data[(HYPRE_Int) global_vec_starts[p]] + j * global_vecstride,
(HYPRE_Int)(global_vec_starts[p + 1] - global_vec_starts[p]),
HYPRE_MPI_COMPLEX, p, 0, comm, &requests[k++] );
}
if (num_vectors == 1)
{
for (i = 0; i < local_size; i++)
{
local_data[i] = v_data[i];
}
}
else
{
for (j = 0; j < num_vectors; ++j)
{
for (i = 0; i < local_size; i++)
{
local_data[i + j * vecstride] = v_data[i + j * global_vecstride];
}
}
}
hypre_MPI_Waitall(num_procs - 1, requests, status);
hypre_TFree(requests, HYPRE_MEMORY_HOST);
hypre_TFree(status, HYPRE_MEMORY_HOST);
}
else
{
for ( j = 0; j < num_vectors; ++j )
hypre_MPI_Recv( local_data + j * vecstride, local_size, HYPRE_MPI_COMPLEX,
0, 0, comm, &status0 );
}
if (global_vec_starts)
{
hypre_TFree(global_vec_starts, HYPRE_MEMORY_HOST);
}
return par_vector;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorToVectorAll:
* generates a Vector on every proc which has a piece of the data
* from a ParVector on several procs in comm,
* vec_starts needs to contain the partitioning across all procs in comm
*--------------------------------------------------------------------------*/
hypre_Vector *
hypre_ParVectorToVectorAll( hypre_ParVector *par_v )
{
MPI_Comm comm = hypre_ParVectorComm(par_v);
HYPRE_BigInt global_size = hypre_ParVectorGlobalSize(par_v);
hypre_Vector *local_vector = hypre_ParVectorLocalVector(par_v);
HYPRE_Int num_procs, my_id;
HYPRE_Int num_vectors = hypre_ParVectorNumVectors(par_v);
hypre_Vector *vector;
HYPRE_Complex *vector_data;
HYPRE_Complex *local_data;
HYPRE_Int local_size;
hypre_MPI_Request *requests;
hypre_MPI_Status *status;
HYPRE_Int i, j;
HYPRE_Int *used_procs;
HYPRE_Int num_types, num_requests;
HYPRE_Int vec_len, proc_id;
HYPRE_Int *new_vec_starts;
HYPRE_Int num_contacts;
HYPRE_Int contact_proc_list[1];
HYPRE_Int contact_send_buf[1];
HYPRE_Int contact_send_buf_starts[2];
HYPRE_Int max_response_size;
HYPRE_Int *response_recv_buf = NULL;
HYPRE_Int *response_recv_buf_starts = NULL;
hypre_DataExchangeResponse response_obj;
hypre_ProcListElements send_proc_obj;
HYPRE_Int *send_info = NULL;
hypre_MPI_Status status1;
HYPRE_Int count, tag1 = 112, tag2 = 223;
HYPRE_Int start;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
local_size = (HYPRE_Int)(hypre_ParVectorLastIndex(par_v) -
hypre_ParVectorFirstIndex(par_v) + 1);
/* determine procs which hold data of par_v and store ids in used_procs */
/* we need to do an exchange data for this. If I own row then I will contact
processor 0 with the endpoint of my local range */
if (local_size > 0)
{
num_contacts = 1;
contact_proc_list[0] = 0;
contact_send_buf[0] = hypre_ParVectorLastIndex(par_v);
contact_send_buf_starts[0] = 0;
contact_send_buf_starts[1] = 1;
}
else
{
num_contacts = 0;
contact_send_buf_starts[0] = 0;
contact_send_buf_starts[1] = 0;
}
/*build the response object*/
/*send_proc_obj will be for saving info from contacts */
send_proc_obj.length = 0;
send_proc_obj.storage_length = 10;
send_proc_obj.id = hypre_CTAlloc(HYPRE_Int, send_proc_obj.storage_length, HYPRE_MEMORY_HOST);
send_proc_obj.vec_starts =
hypre_CTAlloc(HYPRE_Int, send_proc_obj.storage_length + 1, HYPRE_MEMORY_HOST);
send_proc_obj.vec_starts[0] = 0;
send_proc_obj.element_storage_length = 10;
send_proc_obj.elements =
hypre_CTAlloc(HYPRE_BigInt, send_proc_obj.element_storage_length, HYPRE_MEMORY_HOST);
max_response_size = 0; /* each response is null */
response_obj.fill_response = hypre_FillResponseParToVectorAll;
response_obj.data1 = NULL;
response_obj.data2 = &send_proc_obj; /*this is where we keep info from contacts*/
hypre_DataExchangeList(num_contacts,
contact_proc_list, contact_send_buf,
contact_send_buf_starts, sizeof(HYPRE_Int),
//0, &response_obj,
sizeof(HYPRE_Int), &response_obj,
max_response_size, 1,
comm, (void**) &response_recv_buf,
&response_recv_buf_starts);
/* now processor 0 should have a list of ranges for processors that have rows -
these are in send_proc_obj - it needs to create the new list of processors
and also an array of vec starts - and send to those who own row*/
if (my_id)
{
if (local_size)
{
/* look for a message from processor 0 */
hypre_MPI_Probe(0, tag1, comm, &status1);
hypre_MPI_Get_count(&status1, HYPRE_MPI_INT, &count);
send_info = hypre_CTAlloc(HYPRE_Int, count, HYPRE_MEMORY_HOST);
hypre_MPI_Recv(send_info, count, HYPRE_MPI_INT, 0, tag1, comm, &status1);
/* now unpack */
num_types = send_info[0];
used_procs = hypre_CTAlloc(HYPRE_Int, num_types, HYPRE_MEMORY_HOST);
new_vec_starts = hypre_CTAlloc(HYPRE_Int, num_types + 1, HYPRE_MEMORY_HOST);
for (i = 1; i <= num_types; i++)
{
used_procs[i - 1] = (HYPRE_Int)send_info[i];
}
for (i = num_types + 1; i < count; i++)
{
new_vec_starts[i - num_types - 1] = send_info[i] ;
}
}
else /* clean up and exit */
{
hypre_TFree(send_proc_obj.vec_starts, HYPRE_MEMORY_HOST);
hypre_TFree(send_proc_obj.id, HYPRE_MEMORY_HOST);
hypre_TFree(send_proc_obj.elements, HYPRE_MEMORY_HOST);
if (response_recv_buf) { hypre_TFree(response_recv_buf, HYPRE_MEMORY_HOST); }
if (response_recv_buf_starts) { hypre_TFree(response_recv_buf_starts, HYPRE_MEMORY_HOST); }
return NULL;
}
}
else /* my_id ==0 */
{
num_types = send_proc_obj.length;
used_procs = hypre_CTAlloc(HYPRE_Int, num_types, HYPRE_MEMORY_HOST);
new_vec_starts = hypre_CTAlloc(HYPRE_Int, num_types + 1, HYPRE_MEMORY_HOST);
new_vec_starts[0] = 0;
for (i = 0; i < num_types; i++)
{
used_procs[i] = send_proc_obj.id[i];
new_vec_starts[i + 1] = send_proc_obj.elements[i] + 1;
}
hypre_qsort0(used_procs, 0, num_types - 1);
hypre_qsort0(new_vec_starts, 0, num_types);
/*now we need to put into an array to send */
count = 2 * num_types + 2;
send_info = hypre_CTAlloc(HYPRE_Int, count, HYPRE_MEMORY_HOST);
send_info[0] = num_types;
for (i = 1; i <= num_types; i++)
{
send_info[i] = (HYPRE_Int)used_procs[i - 1];
}
for (i = num_types + 1; i < count; i++)
{
send_info[i] = new_vec_starts[i - num_types - 1];
}
requests = hypre_CTAlloc(hypre_MPI_Request, num_types, HYPRE_MEMORY_HOST);
status = hypre_CTAlloc(hypre_MPI_Status, num_types, HYPRE_MEMORY_HOST);
/* don't send to myself - these are sorted so my id would be first*/
start = 0;
if (used_procs[0] == 0)
{
start = 1;
}
for (i = start; i < num_types; i++)
{
hypre_MPI_Isend(send_info, count, HYPRE_MPI_INT, used_procs[i],
tag1, comm, &requests[i - start]);
}
hypre_MPI_Waitall(num_types - start, requests, status);
hypre_TFree(status, HYPRE_MEMORY_HOST);
hypre_TFree(requests, HYPRE_MEMORY_HOST);
}
/* clean up */
hypre_TFree(send_proc_obj.vec_starts, HYPRE_MEMORY_HOST);
hypre_TFree(send_proc_obj.id, HYPRE_MEMORY_HOST);
hypre_TFree(send_proc_obj.elements, HYPRE_MEMORY_HOST);
hypre_TFree(send_info, HYPRE_MEMORY_HOST);
if (response_recv_buf) { hypre_TFree(response_recv_buf, HYPRE_MEMORY_HOST); }
if (response_recv_buf_starts) { hypre_TFree(response_recv_buf_starts, HYPRE_MEMORY_HOST); }
/* now proc 0 can exit if it has no rows */
if (!local_size)
{
hypre_TFree(used_procs, HYPRE_MEMORY_HOST);
hypre_TFree(new_vec_starts, HYPRE_MEMORY_HOST);
return NULL;
}
/* everyone left has rows and knows: new_vec_starts, num_types, and used_procs */
/* this vector should be rather small */
local_data = hypre_VectorData(local_vector);
vector = hypre_SeqVectorCreate((HYPRE_Int)global_size);
hypre_VectorNumVectors(vector) = num_vectors;
hypre_SeqVectorInitialize(vector);
vector_data = hypre_VectorData(vector);
num_requests = 2 * num_types;
requests = hypre_CTAlloc(hypre_MPI_Request, num_requests, HYPRE_MEMORY_HOST);
status = hypre_CTAlloc(hypre_MPI_Status, num_requests, HYPRE_MEMORY_HOST);
/* initialize data exchange among used_procs and generate vector - here we
send to ourself also*/
j = 0;
for (i = 0; i < num_types; i++)
{
proc_id = used_procs[i];
vec_len = (HYPRE_Int)(new_vec_starts[i + 1] - new_vec_starts[i]);
hypre_MPI_Irecv(&vector_data[(HYPRE_Int)new_vec_starts[i]], num_vectors * vec_len,
HYPRE_MPI_COMPLEX, proc_id, tag2, comm, &requests[j++]);
}
for (i = 0; i < num_types; i++)
{
hypre_MPI_Isend(local_data, num_vectors * local_size, HYPRE_MPI_COMPLEX,
used_procs[i], tag2, comm, &requests[j++]);
}
hypre_MPI_Waitall(num_requests, requests, status);
if (num_requests)
{
hypre_TFree(requests, HYPRE_MEMORY_HOST);
hypre_TFree(status, HYPRE_MEMORY_HOST);
hypre_TFree(used_procs, HYPRE_MEMORY_HOST);
}
hypre_TFree(new_vec_starts, HYPRE_MEMORY_HOST);
return vector;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorPrintIJ
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorPrintIJ( hypre_ParVector *vector,
HYPRE_Int base_j,
const char *filename )
{
MPI_Comm comm;
HYPRE_BigInt global_size, j;
HYPRE_BigInt *partitioning;
HYPRE_Complex *local_data;
HYPRE_Int myid, num_procs, i, part0;
char new_filename[255];
FILE *file;
if (!vector)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
comm = hypre_ParVectorComm(vector);
global_size = hypre_ParVectorGlobalSize(vector);
partitioning = hypre_ParVectorPartitioning(vector);
/* multivector code not written yet */
hypre_assert( hypre_ParVectorNumVectors(vector) == 1 );
if ( hypre_ParVectorNumVectors(vector) != 1 ) { hypre_error_in_arg(1); }
hypre_MPI_Comm_rank(comm, &myid);
hypre_MPI_Comm_size(comm, &num_procs);
hypre_sprintf(new_filename, "%s.%05d", filename, myid);
if ((file = fopen(new_filename, "w")) == NULL)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC, "Error: can't open output file %s\n");
return hypre_error_flag;
}
local_data = hypre_VectorData(hypre_ParVectorLocalVector(vector));
hypre_fprintf(file, "%b \n", global_size);
for (i = 0; i < 2; i++)
{
hypre_fprintf(file, "%b ", partitioning[i] + base_j);
}
hypre_fprintf(file, "\n");
part0 = partitioning[0];
for (j = part0; j < partitioning[1]; j++)
{
hypre_fprintf(file, "%b %.14e\n", j + base_j, local_data[(HYPRE_Int)(j - part0)]);
}
fclose(file);
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_ParVectorReadIJ
* Warning: wrong base for assumed partition if base > 0
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_ParVectorReadIJ( MPI_Comm comm,
const char *filename,
HYPRE_Int *base_j_ptr,
hypre_ParVector **vector_ptr )
{
HYPRE_BigInt global_size, J;
hypre_ParVector *vector;
hypre_Vector *local_vector;
HYPRE_Complex *local_data;
HYPRE_BigInt partitioning[2];
HYPRE_Int base_j;
HYPRE_Int myid, num_procs, i, j;
char new_filename[255];
FILE *file;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &myid);
hypre_sprintf(new_filename, "%s.%05d", filename, myid);
if ((file = fopen(new_filename, "r")) == NULL)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC, "Error: can't open output file %s\n");
return hypre_error_flag;
}
hypre_fscanf(file, "%b", &global_size);
/* this may need to be changed so that the base is available in the file! */
hypre_fscanf(file, "%b", partitioning);
for (i = 0; i < 2; i++)
{
hypre_fscanf(file, "%b", partitioning + i);
}
/* This is not yet implemented correctly! */
base_j = 0;
vector = hypre_ParVectorCreate(comm, global_size,
partitioning);
hypre_ParVectorInitialize(vector);
local_vector = hypre_ParVectorLocalVector(vector);
local_data = hypre_VectorData(local_vector);
for (j = 0; j < (HYPRE_Int)(partitioning[1] - partitioning[0]); j++)
{
hypre_fscanf(file, "%b %le", &J, local_data + j);
}
fclose(file);
*base_j_ptr = base_j;
*vector_ptr = vector;
/* multivector code not written yet */
hypre_assert( hypre_ParVectorNumVectors(vector) == 1 );
if ( hypre_ParVectorNumVectors(vector) != 1 ) { hypre_error(HYPRE_ERROR_GENERIC); }
return hypre_error_flag;
}
/*--------------------------------------------------------------------
* hypre_FillResponseParToVectorAll
* Fill response function for determining the send processors
* data exchange
*--------------------------------------------------------------------*/
HYPRE_Int
hypre_FillResponseParToVectorAll( void *p_recv_contact_buf,
HYPRE_Int contact_size,
HYPRE_Int contact_proc,
void *ro,
MPI_Comm comm,
void **p_send_response_buf,
HYPRE_Int *response_message_size )
{
HYPRE_Int myid;
HYPRE_Int i, index, count, elength;
HYPRE_BigInt *recv_contact_buf = (HYPRE_BigInt * ) p_recv_contact_buf;
hypre_DataExchangeResponse *response_obj = (hypre_DataExchangeResponse*)ro;
hypre_ProcListElements *send_proc_obj = (hypre_ProcListElements*)response_obj->data2;
hypre_MPI_Comm_rank(comm, &myid );
/*check to see if we need to allocate more space in send_proc_obj for ids*/
if (send_proc_obj->length == send_proc_obj->storage_length)
{
send_proc_obj->storage_length += 10; /*add space for 10 more processors*/
send_proc_obj->id = hypre_TReAlloc(send_proc_obj->id, HYPRE_Int,
send_proc_obj->storage_length, HYPRE_MEMORY_HOST);
send_proc_obj->vec_starts =
hypre_TReAlloc(send_proc_obj->vec_starts, HYPRE_Int,
send_proc_obj->storage_length + 1, HYPRE_MEMORY_HOST);
}
/*initialize*/
count = send_proc_obj->length;
index = send_proc_obj->vec_starts[count]; /*this is the number of elements*/
/*send proc*/
send_proc_obj->id[count] = contact_proc;
/*do we need more storage for the elements?*/
if (send_proc_obj->element_storage_length < index + contact_size)
{
elength = hypre_max(contact_size, 10);
elength += index;
send_proc_obj->elements = hypre_TReAlloc(send_proc_obj->elements,
HYPRE_BigInt, elength, HYPRE_MEMORY_HOST);
send_proc_obj->element_storage_length = elength;
}
/*populate send_proc_obj*/
for (i = 0; i < contact_size; i++)
{
send_proc_obj->elements[index++] = recv_contact_buf[i];
}
send_proc_obj->vec_starts[count + 1] = index;
send_proc_obj->length++;
/*output - no message to return (confirmation) */
*response_message_size = 0;
return hypre_error_flag;
}
/* -----------------------------------------------------------------------------
* return the sum of all local elements of the vector
* ----------------------------------------------------------------------------- */
HYPRE_Complex hypre_ParVectorLocalSumElts( hypre_ParVector * vector )
{
return hypre_SeqVectorSumElts( hypre_ParVectorLocalVector(vector) );
}
HYPRE_Int
hypre_ParVectorGetValuesHost(hypre_ParVector *vector,
HYPRE_Int num_values,
HYPRE_BigInt *indices,
HYPRE_BigInt base,
HYPRE_Complex *values)
{
HYPRE_Int i, ierr = 0;
HYPRE_BigInt first_index = hypre_ParVectorFirstIndex(vector);
HYPRE_BigInt last_index = hypre_ParVectorLastIndex(vector);
hypre_Vector *local_vector = hypre_ParVectorLocalVector(vector);
HYPRE_Complex *data = hypre_VectorData(local_vector);
/*
if (hypre_VectorOwnsData(local_vector) == 0)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC,"Vector does not own data! -- hypre_ParVectorGetValues.");
return hypre_error_flag;
}
*/
if (indices)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) reduction(+:ierr) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_values; i++)
{
HYPRE_BigInt index = indices[i] - base;
if (index < first_index || index > last_index)
{
ierr ++;
}
else
{
HYPRE_Int local_index = (HYPRE_Int) (index - first_index);
values[i] = data[local_index];
}
}
if (ierr)
{
hypre_error_in_arg(3);
hypre_error_w_msg(HYPRE_ERROR_GENERIC, "Index out of range! -- hypre_ParVectorGetValues.");
hypre_printf("Index out of range! -- hypre_ParVectorGetValues\n");
}
}
else
{
if (num_values > hypre_VectorSize(local_vector))
{
hypre_error_in_arg(2);
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_values; i++)
{
values[i] = data[i];
}
}
return hypre_error_flag;
}
HYPRE_Int
hypre_ParVectorGetValues2(hypre_ParVector *vector,
HYPRE_Int num_values,
HYPRE_BigInt *indices,
HYPRE_BigInt base,
HYPRE_Complex *values)
{
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
if (HYPRE_EXEC_DEVICE == hypre_GetExecPolicy1( hypre_ParVectorMemoryLocation(vector) ))
{
hypre_ParVectorGetValuesDevice(vector, num_values, indices, base, values);
}
else
#endif
{
hypre_ParVectorGetValuesHost(vector, num_values, indices, base, values);
}
return hypre_error_flag;
}
HYPRE_Int
hypre_ParVectorGetValues(hypre_ParVector *vector,
HYPRE_Int num_values,
HYPRE_BigInt *indices,
HYPRE_Complex *values)
{
return hypre_ParVectorGetValues2(vector, num_values, indices, 0, values);
}
|
dist.c | #ifndef _GNU_SOURCE
#define _GNU_SOURCE
#endif
#include <sys/syscall.h>
#include <unistd.h>
#include <string.h>
#include <stdio.h>
#include <stdlib.h>
#include <stdbool.h>
#include <sys/time.h>
#include <omp.h>
#include <mpi.h>
#include <signal.h>
#ifdef TRACE
#include "VT.h"
#endif
#define MB 1024*1024
double omp_get_wtime() {
struct timeval currentTime;
gettimeofday(¤tTime, NULL);
return (double)(currentTime.tv_sec) + (1.0E-06)*(double)(currentTime.tv_usec);
}
char **split(char *str, char *div, int num_args, int *length);
int get_integer(char *str, char* id, int normal);
void communicate(int* data, int transmitter, int reciver);
char *space = "\n-------------------------------------------------\n";
typedef enum disturbance_mode_t {
compute = 0,
memory = 1,
communication = 2,
} disturbance_mode;
typedef enum comunication_mode_t {
pingpong = 0,
roundtrip = 1,
} comunication_mode;
disturbance_mode d_mode = compute;
comunication_mode c_mode = roundtrip;
long window_us_comp = 1000*1000; // default 1 sec
long window_us_pause = 1000*500; // default 500 ms
// long window_us_pause = -1; // constant work
long window_us_size_min = 1000*1000; // default 1 sec
long window_us_size_max = 1000*3000; // default 3 sesc
bool use_random = false;
int rank_number = -1;
int use_multiple_cores = 1;
int disturb_mem_mb_size = 1000;
int *ranks_to_disturb;
int disturb_com_mb_size = 1000;
int num_partner = 0;
int seed = 0;
int abort_program = 0;
int iNumProcs;
#define DEBUG 1
#ifdef DEBUG
static void DEBUG_PRINT(const char * format, ... ) {
fprintf(stderr, "Disturbance -- R#%02d T#%02d (OS_TID:%06ld): --> ", rank_number, omp_get_thread_num(), syscall(SYS_gettid));
va_list argptr;
va_start(argptr, format);
vfprintf(stderr, format, argptr);
va_end(argptr);
}
#else
static void DEBUG_PRINT(const char * format, ... ) { }
#endif
void sig_handler(int signo)
{
if (signo == SIGINT || signo == SIGABRT || signo == SIGTERM) {
DEBUG_PRINT("received signo=%d\n", signo);
abort_program = 1;
}
}
void compute_kernel()
{
int volatile i, j;
int v;
volatile int n = 5000000;
const int length = 8;
float a[length];
float c[length];
int ierr;
for (i = 0; i < length; i++)
{
a[i] = i;
c[i] = 1.0+i*0.01;
}
if (window_us_pause <= 0) {
// long count = 0;
double start_time = omp_get_wtime();
#ifdef TRACE
static int event_compute = -1;
const char *event_compute_name = "disturbance_compute";
if(event_compute == -1) {
ierr = VT_funcdef(event_compute_name, VT_NOCLASS, &event_compute);
}
VT_begin(event_compute);
#endif
while(true)
{
for (i = 0; i < n; i++) {
int tmp = i;
#pragma omp simd
for (v = 0; v < length; v++) {
a[v]=a[v]+c[v]*tmp;
}
}
// #pragma omp master
// {
// count++;
// DEBUG_PRINT("Running step %ld\n", count);
// if (count % 1000 == 0) {
// double elapsed = omp_get_wtime() - start_time;
// DEBUG_PRINT("Elasped time (sec) = %f\n", elapsed);
// }
// }
#ifdef TRACE
VT_end(event_compute);
#endif
if (abort_program) {
break;
}
#ifdef TRACE
VT_begin(event_compute);
#endif
}
} else {
double start_time = omp_get_wtime();
long passed_time = 0;
#ifdef TRACE
static int event_compute = -1;
const char *event_compute_name = "disturbance_compute";
if(event_compute == -1) {
ierr = VT_funcdef(event_compute_name, VT_NOCLASS, &event_compute);
}
VT_begin(event_compute);
#endif
while(true)
{
for (i = 0; i < n; i++) {
int tmp = i;
#pragma omp simd
for (v = 0; v < length; v++) {
a[v]=a[v]+c[v]*tmp;
}
}
passed_time = (long)((omp_get_wtime()-start_time) * 1e6);
if(passed_time > window_us_comp)
{
#ifdef TRACE
VT_end(event_compute);
#endif
#ifdef DEBUG
#pragma omp master
{
DEBUG_PRINT("passed time: %ld us - going to sleep\n", passed_time);
}
#endif
usleep(window_us_pause);
if (abort_program) {
break;
}
start_time = omp_get_wtime();
#ifdef TRACE
VT_begin(event_compute);
#endif
}
}
}
}
void memory_kernel()
{
float size_of_int_array_per_thread = 1.0f*disturb_mem_mb_size*MB/use_multiple_cores/sizeof(int)/2;
DEBUG_PRINT ("Allocating %f MB of RAM\n",size_of_int_array_per_thread*sizeof(int)*use_multiple_cores*2);
int *p = (int*)calloc(size_of_int_array_per_thread,sizeof(int));
int *q = (int*)calloc(size_of_int_array_per_thread,sizeof(int));
DEBUG_PRINT ("Allocaded\n");
int i = 0;
if (window_us_pause <= 0) {
memset(p, 1, size_of_int_array_per_thread);
memcpy(q, p, size_of_int_array_per_thread);
while(true)
{
memset(p, i, size_of_int_array_per_thread);
memcpy(q, p, size_of_int_array_per_thread);
usleep(10);
if (i == 0)
i = 1;
else
i = 0;
}
return;
}
double start_time = omp_get_wtime();
long passed_time = 0;
int count = 0;
while(true)
{
memset(p, i, size_of_int_array_per_thread);
memcpy(q, p, size_of_int_array_per_thread);
if (i == 0)
i = 1;
else
i = 0;
count++;
if(count % 10 == 0) {
count = 0;
passed_time = (long)((omp_get_wtime()-start_time) * 1e6);
if(passed_time > window_us_comp)
{
free(p);
free(q);
usleep(window_us_pause);
start_time = omp_get_wtime();
p = (int*)calloc(size_of_int_array_per_thread,sizeof(int));
q = (int*)calloc(size_of_int_array_per_thread,sizeof(int));
}
}
}
}
void communication_kernel()
{
//com size in Bytes
int size_of_int_array_per_thread = disturb_com_mb_size*MB/use_multiple_cores/sizeof(int);
int thread_id = omp_get_thread_num();
if (num_partner < 2)
return;
int i ,id;
int *data = (int*)calloc(size_of_int_array_per_thread,sizeof(int));
int total_num_partner = num_partner;
for (i = 0; i < num_partner; i++) {
if (ranks_to_disturb[i] == rank_number)
id = i;
}
int previous_rank_id = (id - 1)%num_partner;
if (id == 0) {
previous_rank_id = num_partner - 1;
}
int target_rank_id = (id + 1)%num_partner;
if (c_mode == pingpong) {
if (num_partner%2>0 && id == num_partner-1)
return;
if(id%2==0) {
target_rank_id = id+1;
previous_rank_id = id+1;
}
else {
target_rank_id = id-1;
previous_rank_id = id-1;
}
}
DEBUG_PRINT("Rank get Com ID: %d\n", id);
int target_rank = ranks_to_disturb[target_rank_id];
int previous_rank = ranks_to_disturb[previous_rank_id];
//memset(data, rank_number, disturb_com_mb_size*MB);
MPI_Status status;
if (id == 0) {
DEBUG_PRINT("Starting Communication, sending to RANK:%d\n",target_rank);
MPI_Send(data, size_of_int_array_per_thread, MPI_INT,target_rank , thread_id, MPI_COMM_WORLD);
DEBUG_PRINT("Message Send\n");
}
if (window_us_pause == 0) {
while (true)
{
int* tmp_data = (int*)calloc(size_of_int_array_per_thread,sizeof(int));
DEBUG_PRINT("Wait for message from RANK:%d\n",previous_rank);
MPI_Recv(tmp_data,size_of_int_array_per_thread,MPI_INT,previous_rank,thread_id,MPI_COMM_WORLD, MPI_STATUS_IGNORE);
MPI_Send(data,size_of_int_array_per_thread, MPI_INT, target_rank, thread_id, MPI_COMM_WORLD);
DEBUG_PRINT("Rank %d\t Recived Message from %d, send to %d\n", rank_number, previous_rank, target_rank);
free(tmp_data);
if (abort_program) {
break;
}
}
return;
}
double start_time = 0;
long passed_time = 0;
if (id == 0) {
start_time = omp_get_wtime();
}
while (true)
{
DEBUG_PRINT("Wait for message from RANK:%d\n",previous_rank);
int* tmp_data = (int*)calloc(size_of_int_array_per_thread,sizeof(int));
DEBUG_PRINT("Wait for message from RANK:%d\n",previous_rank);
MPI_Recv(tmp_data, size_of_int_array_per_thread,MPI_INT,previous_rank, thread_id, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
if (id == 0) {
passed_time = (long)((omp_get_wtime()-start_time) * 1e6);
if(passed_time > window_us_comp)
{
usleep(window_us_pause);
start_time = omp_get_wtime();
}
}
MPI_Send(data, size_of_int_array_per_thread, MPI_INT, target_rank, thread_id, MPI_COMM_WORLD);
DEBUG_PRINT("Rank %d\t Recived Message from %d, send to %d\n", rank_number, previous_rank, target_rank);
free(tmp_data);
DEBUG_PRINT("Rank %d\t Recived Message from %d, send to %d\n", rank_number, previous_rank, target_rank);
if (abort_program) {
break;
}
}
}
int main(int argc, char *argv[])
{
fprintf(stderr, "Size: %d\n", sizeof(size_t));
// catch signals to allow controlled way to end application
if (signal(SIGINT, sig_handler) == SIG_ERR)
printf("\ncan't catch SIGINT\n");
if (signal(SIGTERM, sig_handler) == SIG_ERR)
printf("\ncan't catch SIGTERM\n");
if (signal(SIGABRT, sig_handler) == SIG_ERR)
printf("\ncan't catch SIGABRT\n");
int i, k, provided;
int *length = (int*)malloc(sizeof(int));
//MPI_Init(&argc, &argv);
//MPI_Init_thread(NULL, NULL, MPI_THREAD_MULTIPLE, &provided);
MPI_Init_thread(&argc, &argv, MPI_THREAD_MULTIPLE, &provided);
MPI_Comm_size(MPI_COMM_WORLD, &iNumProcs);
MPI_Comm_rank(MPI_COMM_WORLD, &rank_number);
if(provided < MPI_THREAD_MULTIPLE)
{
printf("The threading support level is lesser than that demanded.\n");
MPI_Abort(MPI_COMM_WORLD, EXIT_FAILURE);
}
else
{
printf("The threading support level corresponds to that demanded.\n");
}
#ifdef TRACE
int ierr;
static int event_main = -1;
const char *event_main_name = "disturbance_main";
if(event_main == -1) {
ierr = VT_funcdef(event_main_name, VT_NOCLASS, &event_main);
}
VT_begin(event_main);
#endif
for (i = 1; i < argc; i++)
{
// DEBUG_PRINT("Param %d: Len=%d - %s\n", i, strlen(argv[i]), argv[i]);
char **s = split(argv[i], "=", 2, length);
// DEBUG_PRINT("Param %d: s[0]=%s s[1]=%s\n", i, s[0], s[1]);
if(strcmp(s[0], "--type") == 0)
{
if(strcmp(s[1], "compute") == 0)
{
d_mode = 0;
}
else if(strcmp(s[1], "memory") == 0)
{
d_mode = 1;
}
else if(strcmp(s[1], "communication") == 0)
{
d_mode = 2;
} else
{
fprintf(stderr,space);
fprintf(stderr,"--type was not set correctly!\n");
fprintf(stderr,"please try one of the following:\n");
fprintf(stderr,"\tcompute\n\tmemory\n\tcommunication\n");
fprintf(stderr,space);
continue;
}
}
else if(strcmp(s[0], "--window_us_comp") == 0)
{
window_us_comp = get_integer(s[1], s[0], window_us_comp);
}
else if(strcmp(s[0], "--window_us_size_max") == 0)
{
window_us_size_max = get_integer(s[1], s[0], window_us_size_max);
}
else if(strcmp(s[0], "--window_us_size_min") == 0)
{
window_us_size_min = get_integer(s[1], s[0], window_us_size_min);
}
else if(strcmp(s[0], "--window_us_pause") == 0)
{
window_us_pause = get_integer(s[1], s[0], window_us_pause);
}
else if(strcmp(s[0], "--use_multiple_cores") == 0)
{
use_multiple_cores = get_integer(s[1], s[0], use_multiple_cores);
}
else if(strcmp(s[0], "--use_random") == 0)
{
if(strcmp(s[1], "true") == 0)
{
use_random = true;
}
else if(strcmp(s[1], "false") == 0){
use_random = false;
}
else
{
fprintf(stderr,space);
fprintf(stderr,"--use_random was not set correctly!\n");
fprintf(stderr,"please try one of the following:\n");
fprintf(stderr,"\ttrue\n\tfalse");
fprintf(stderr,space);
continue;
}
}
else if(strcmp(s[0], "--rank_number") == 0)
{
rank_number = get_integer(s[1], s[0], rank_number);
}
else if(strcmp(s[0], "--disturb_mem_mb_size") == 0)
{
disturb_mem_mb_size = get_integer(s[1], s[0], disturb_mem_mb_size);
}
else if(strcmp(s[0], "--disturb_com_mb_size") == 0)
{
disturb_com_mb_size = get_integer(s[1], s[0], disturb_com_mb_size);
}
else if(strcmp(s[0], "--ranks_to_disturb") == 0)
{
//char* tmp = split(s[1],'(',iNumProcs)[1];
//tmp = split(tmp,')',iNumProcs)[0];
//char** partner_list = split(tmp,',',iNumProcs);
char** partner_list = split(s[1], ",", iNumProcs, length);
num_partner = *length;
int *tmp_com_partner = (int*)malloc(sizeof(int)*num_partner);
for (k = 0; k < num_partner; k++) {
if(strcmp(partner_list[k], "") == 1) {
if(atoi(partner_list[k]) < iNumProcs){
tmp_com_partner[k] = atoi(partner_list[k]);
}
else {
tmp_com_partner[k] = 0;
}
}
}
ranks_to_disturb = (int*)malloc(sizeof(int)*num_partner);
char* partners = (char*)malloc(sizeof(char)*num_partner*2);
for (k = 0; k < num_partner; k++) {
ranks_to_disturb[k] = tmp_com_partner[k];
partners[2*k] = (char)(tmp_com_partner[k] + 48);
if(k + 1 < num_partner)
partners[2*k + 1] = ',';
else partners[2*k + 1] = 0;
}
printf("--ranks_to_disturb are set to: (%s)\t number of ranks to disturb: %d\n", partners, *length);
free(tmp_com_partner);
}
else if(strcmp(s[0], "--com_type") == 0)
{
if(strcmp(s[1], "pingpong") == 0)
{
c_mode = pingpong;
}
else if(strcmp(s[1], "roundtrip") == 0)
{
c_mode = roundtrip;
} else
{
printf(space);
printf("--type was not set correctly!\n");
printf("please try one of the following:\n");
printf("\tpingpong\n\troundtrip");
printf(space);
continue;
}
printf("--com_type is set to: %s\n", s[1]);
}
else if(strcmp(argv[i], "--help") == 0)
{
fprintf(stderr,"Possible arguments are:\n");
fprintf(stderr,"\t--type\n");
fprintf(stderr,"\t--window_us_comp\t in micro seconds\n");
fprintf(stderr,"\t--window_us_pause\t in micro seconds\n");
fprintf(stderr,"\t--window_us_size_min\t in micro seconds\n");
fprintf(stderr,"\t--window_us_size_max\t in micro seconds\n");
fprintf(stderr,"\t--use_random\n");
fprintf(stderr,"\t--use_multiple_cores\n");
fprintf(stderr,"\t--rank_number\n");
fprintf(stderr,"\t--disturb_mem_mb_size\t in MB\n");
fprintf(stderr,"\t--com_type\n");
fprintf(stderr,"\t--ranks_to_disturb\t in form 1,2,3\n");
fprintf(stderr,"\t--disturb_com_mb_size\t in MB\n");
return 0;
}
}
DEBUG_PRINT("--type is set to: %d\n", d_mode);
DEBUG_PRINT("--window_us_comp is set to: %ld\n", window_us_comp);
DEBUG_PRINT("--window_us_size_max is set to: %ld\n", window_us_size_max);
DEBUG_PRINT("--window_us_size_min is set to: %ld\n", window_us_size_min);
DEBUG_PRINT("--window_us_pause is set to: %ld\n", window_us_pause);
DEBUG_PRINT("--use_multiple_cores is set to: %ld\n", use_multiple_cores);
DEBUG_PRINT("--use_random is set to: %d\n", use_random);
DEBUG_PRINT("--rank_number is set to: %d\n", rank_number);
DEBUG_PRINT("--disturb_mem_mb_size is set to: %d\n", disturb_mem_mb_size);
DEBUG_PRINT("--com_type is set to: %d\n", c_mode);
//DEBUG_PRINT("--ranks_to_disturb is set to: %d\n", ranks_to_disturb);
DEBUG_PRINT("--disturb_com_mb_size is set to: %d\n", disturb_com_mb_size);
DEBUG_PRINT("--number of ranks to disturb is set to: %d\n", num_partner);
if(d_mode == 2 && c_mode == pingpong && num_partner%2 > 0)
{
fprintf(stderr, "To use Pinpong communication mode, you have to have an even number of disturbance ranks...\tabort...\n");
return 0;
}
if (use_random)
{
seed = (rank_number+1)*42;
srand(seed);
double random = ((double) rand() / (RAND_MAX));
DEBUG_PRINT("Seed = %d, random = %f\n", seed, random);
window_us_comp = random*(window_us_size_max-window_us_size_min) + window_us_size_min;
DEBUG_PRINT("New window comp set to: %d\n", window_us_comp);
}
bool not_disturb = true;
for (int i = 0; i < num_partner; i++) {
if (rank_number == ranks_to_disturb[i])
{
not_disturb = false;
}
}
DEBUG_PRINT(space);
if (not_disturb) {
DEBUG_PRINT("Rank %d will not be disturbed\nExit disturbance\n", rank_number);
DEBUG_PRINT(space);
MPI_Finalize();
return 1;
}
else
{
DEBUG_PRINT("Rank %d will be disturbed\n", rank_number);
}
DEBUG_PRINT(space);
if (window_us_comp <= 0)
{
DEBUG_PRINT("window_us_comp is negative or zero, program will terminate\n");
return 0;
}
int num_threads = use_multiple_cores;
free(length);
#pragma omp parallel num_threads(use_multiple_cores)
{
// DEBUG_PRINT("started thread: %d\n", omp_get_thread_num());
switch (d_mode)
{
case compute:
compute_kernel();
break;
case memory:
memory_kernel();
break;
case communication:
communication_kernel();
break;
default:
break;
}
}
#ifdef TRACE
VT_end(event_main);
#endif
MPI_Finalize();
}
char **split(char *str, char *div, int num_args, int *length)
{
char **result = (char**)malloc(sizeof(char)*num_args);
char * token = strtok(str, div);
int count = 0;
// loop through the string to extract all other tokens
while( token != NULL) {
int tmp_size = strlen(token);
result[count] = (char*) malloc(sizeof(char)*tmp_size);
strcpy(result[count], token);
//printf( "%sEND\n", token); //printing each token
token = strtok(NULL, div);
count++;
if(count >= num_args) {
break;
}
}
*length = count;
return result;
}
int get_integer(char *str, char *id, int normal)
{
int a = atoi(str);
if (a == 0 && (strcmp(str,"0")) || a < 0)
{
printf(space);
printf("%s was not set correctly! (%s)\n", id, str);
printf("please only use positiv integers!");
printf(space);
return normal;
}
printf("%s is set to: %d\n", id, a);
return a;
} |
cvAdvDiff_bnd_omp.c | /* -----------------------------------------------------------------
* Programmer(s): Daniel Reynolds and Ting Yan @ SMU
* Based on cvAdvDiff_bnd.c and parallelized with OpenMP
* -----------------------------------------------------------------
* LLNS/SMU Copyright Start
* Copyright (c) 2017, Southern Methodist University and
* Lawrence Livermore National Security
*
* This work was performed under the auspices of the U.S. Department
* of Energy by Southern Methodist University and Lawrence Livermore
* National Laboratory under Contract DE-AC52-07NA27344.
* Produced at Southern Methodist University and the Lawrence
* Livermore National Laboratory.
*
* All rights reserved.
* For details, see the LICENSE file.
* LLNS/SMU Copyright End
* -----------------------------------------------------------------
* Example problem:
*
* The following is a simple example problem with a banded Jacobian,
* solved using CVODE.
* The problem is the semi-discrete form of the advection-diffusion
* equation in 2-D:
* du/dt = d^2 u / dx^2 + .5 du/dx + d^2 u / dy^2
* on the rectangle 0 <= x <= 2, 0 <= y <= 1, and the time
* interval 0 <= t <= 1. Homogeneous Dirichlet boundary conditions
* are posed, and the initial condition is
* u(x,y,t=0) = x(2-x)y(1-y)exp(5xy).
* The PDE is discretized on a uniform MX+2 by MY+2 grid with
* central differencing, and with boundary values eliminated,
* leaving an ODE system of size NEQ = MX*MY.
* This program solves the problem with the BDF method, Newton
* iteration with the SUNBAND linear solver, and a user-supplied
* Jacobian routine.
* It uses scalar relative and absolute tolerances.
* Output is printed at t = .1, .2, ..., 1.
* Run statistics (optional outputs) are printed at the end.
*
* Optionally, we can set the number of threads from environment
* variable or command line. To check the current value for number
* of threads from environment:
* % echo $OMP_NUM_THREADS
*
* Execution:
*
* To use the default value or the number of threads from the
* environment value, run without arguments:
* % ./cvAdvDiff_bnd_omp
* The environment variable can be over-ridden with a command line
* argument specifying the number of threads to use, e.g:
* % ./cvAdvDiff_bnd_omp 5
* ----------------------------------------------------------------- */
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
/* Header files with a description of contents */
#include <cvode/cvode.h> /* prototypes for CVODE fcts., consts. */
#include <nvector/nvector_openmp.h> /* serial N_Vector types, fcts., macros */
#include <sunmatrix/sunmatrix_band.h> /* access to band SUNMatrix */
#include <sunlinsol/sunlinsol_band.h> /* access to band SUNLinearSolver */
#include <sundials/sundials_types.h> /* definition of type realtype */
#include <sundials/sundials_math.h> /* definition of ABS and EXP */
#ifdef _OPENMP
#include <omp.h>
#endif
/* Problem Constants */
#define XMAX RCONST(2.0) /* domain boundaries */
#define YMAX RCONST(1.0)
#define MX 10 /* mesh dimensions */
#define MY 5
#define NEQ MX*MY /* number of equations */
#define ATOL RCONST(1.0e-5) /* scalar absolute tolerance */
#define T0 RCONST(0.0) /* initial time */
#define T1 RCONST(0.1) /* first output time */
#define DTOUT RCONST(0.1) /* output time increment */
#define NOUT 10 /* number of output times */
#define ZERO RCONST(0.0)
#define HALF RCONST(0.5)
#define ONE RCONST(1.0)
#define TWO RCONST(2.0)
#define FIVE RCONST(5.0)
/* User-defined vector access macro IJth */
/* IJth is defined in order to isolate the translation from the
mathematical 2-dimensional structure of the dependent variable vector
to the underlying 1-dimensional storage.
IJth(vdata,i,j) references the element in the vdata array for
u at mesh point (i,j), where 1 <= i <= MX, 1 <= j <= MY.
The vdata array is obtained via the macro call vdata = NV_DATA_S(v),
where v is an N_Vector.
The variables are ordered by the y index j, then by the x index i. */
#define IJth(vdata,i,j) (vdata[(j-1) + (i-1)*MY])
/* Type : UserData (contains grid constants) */
typedef struct {
realtype dx, dy, hdcoef, hacoef, vdcoef;
int nthreads;
} *UserData;
/* Private Helper Functions */
static void SetIC(N_Vector u, UserData data);
static void PrintHeader(realtype reltol, realtype abstol, realtype umax);
static void PrintOutput(realtype t, realtype umax, long int nst);
static void PrintFinalStats(void *cvode_mem);
/* Private function to check function return values */
static int check_retval(void *returnvalue, const char *funcname, int opt);
/* Functions Called by the Solver */
static int f(realtype t, N_Vector u, N_Vector udot, void *user_data);
static int Jac(realtype t, N_Vector u, N_Vector fu, SUNMatrix J,
void *user_data, N_Vector tmp1, N_Vector tmp2, N_Vector tmp3);
/*
*-------------------------------
* Main Program
*-------------------------------
*/
int main(int argc, char *argv[])
{
realtype dx, dy, reltol, abstol, t, tout, umax;
N_Vector u;
UserData data;
SUNMatrix A;
SUNLinearSolver LS;
void *cvode_mem;
int iout, retval;
long int nst;
int num_threads;
u = NULL;
data = NULL;
A = NULL;
LS = NULL;
cvode_mem = NULL;
/* Set the number of threads to use */
num_threads = 1; /* default value */
#ifdef _OPENMP
num_threads = omp_get_max_threads(); /* Overwrite with OMP_NUM_THREADS environment variable */
#endif
if (argc > 1) /* overwrite with command line value, if supplied */
num_threads = strtol(argv[1], NULL, 0);
/* Create an OpenMP vector */
u = N_VNew_OpenMP(NEQ, num_threads); /* Allocate u vector */
if(check_retval((void*)u, "N_VNew_OpenMP", 0)) return(1);
reltol = ZERO; /* Set the tolerances */
abstol = ATOL;
data = (UserData) malloc(sizeof *data); /* Allocate data memory */
if(check_retval((void *)data, "malloc", 2)) return(1);
dx = data->dx = XMAX/(MX+1); /* Set grid coefficients in data */
dy = data->dy = YMAX/(MY+1);
data->hdcoef = ONE/(dx*dx);
data->hacoef = HALF/(TWO*dx);
data->vdcoef = ONE/(dy*dy);
data->nthreads = num_threads;
SetIC(u, data); /* Initialize u vector */
/* Call CVodeCreate to create the solver memory and specify the
* Backward Differentiation Formula */
cvode_mem = CVodeCreate(CV_BDF);
if(check_retval((void *)cvode_mem, "CVodeCreate", 0)) return(1);
/* Call CVodeInit to initialize the integrator memory and specify the
* user's right hand side function in u'=f(t,u), the inital time T0, and
* the initial dependent variable vector u. */
retval = CVodeInit(cvode_mem, f, T0, u);
if(check_retval(&retval, "CVodeInit", 1)) return(1);
/* Call CVodeSStolerances to specify the scalar relative tolerance
* and scalar absolute tolerance */
retval = CVodeSStolerances(cvode_mem, reltol, abstol);
if (check_retval(&retval, "CVodeSStolerances", 1)) return(1);
/* Set the pointer to user-defined data */
retval = CVodeSetUserData(cvode_mem, data);
if(check_retval(&retval, "CVodeSetUserData", 1)) return(1);
/* Create banded SUNMatrix for use in linear solves -- since this will be factored,
set the storage bandwidth to be the sum of upper and lower bandwidths */
A = SUNBandMatrix(NEQ, MY, MY);
if(check_retval((void *)A, "SUNBandMatrix", 0)) return(1);
/* Create banded SUNLinearSolver object for use by CVode */
LS = SUNLinSol_Band(u, A);
if(check_retval((void *)LS, "SUNLinSol_Band", 0)) return(1);
/* Call CVodeSetLinearSolver to attach the matrix and linear solver to CVode */
retval = CVodeSetLinearSolver(cvode_mem, LS, A);
if(check_retval(&retval, "CVodeSetLinearSolver", 1)) return(1);
/* Set the user-supplied Jacobian routine Jac */
retval = CVodeSetJacFn(cvode_mem, Jac);
if(check_retval(&retval, "CVodeSetJacFn", 1)) return(1);
/* In loop over output points: call CVode, print results, test for errors */
umax = N_VMaxNorm(u);
PrintHeader(reltol, abstol, umax);
for(iout=1, tout=T1; iout <= NOUT; iout++, tout += DTOUT) {
retval = CVode(cvode_mem, tout, u, &t, CV_NORMAL);
if(check_retval(&retval, "CVode", 1)) break;
umax = N_VMaxNorm(u);
retval = CVodeGetNumSteps(cvode_mem, &nst);
check_retval(&retval, "CVodeGetNumSteps", 1);
PrintOutput(t, umax, nst);
}
PrintFinalStats(cvode_mem); /* Print some final statistics */
printf("num_threads = %i\n\n", num_threads);
N_VDestroy_OpenMP(u); /* Free the u vector */
CVodeFree(&cvode_mem); /* Free the integrator memory */
SUNLinSolFree(LS); /* Free the linear solver memory */
SUNMatDestroy(A); /* Free the matrix memory */
free(data); /* Free the user data */
return(0);
}
/*
*-------------------------------
* Functions called by the solver
*-------------------------------
*/
/* f routine. Compute f(t,u). */
static int f(realtype t, N_Vector u,N_Vector udot, void *user_data)
{
realtype uij, udn, uup, ult, urt, hordc, horac, verdc, hdiff, hadv, vdiff;
realtype *udata, *dudata;
int i, j;
UserData data;
udata = NV_DATA_OMP(u);
dudata = NV_DATA_OMP(udot);
/* Extract needed constants from data */
data = (UserData) user_data;
hordc = data->hdcoef;
horac = data->hacoef;
verdc = data->vdcoef;
/* Loop over all grid points. */
#pragma omp parallel for default(shared) private(j, i, uij, udn, uup, ult, urt, hdiff, hadv, vdiff) num_threads(data->nthreads)
for (j=1; j <= MY; j++) {
for (i=1; i <= MX; i++) {
/* Extract u at x_i, y_j and four neighboring points */
uij = IJth(udata, i, j);
udn = (j == 1) ? ZERO : IJth(udata, i, j-1);
uup = (j == MY) ? ZERO : IJth(udata, i, j+1);
ult = (i == 1) ? ZERO : IJth(udata, i-1, j);
urt = (i == MX) ? ZERO : IJth(udata, i+1, j);
/* Set diffusion and advection terms and load into udot */
hdiff = hordc*(ult - TWO*uij + urt);
hadv = horac*(urt - ult);
vdiff = verdc*(uup - TWO*uij + udn);
IJth(dudata, i, j) = hdiff + hadv + vdiff;
}
}
return(0);
}
/* Jacobian routine. Compute J(t,u). */
static int Jac(realtype t, N_Vector u, N_Vector fu,
SUNMatrix J, void *user_data,
N_Vector tmp1, N_Vector tmp2, N_Vector tmp3)
{
sunindextype i, j, k;
realtype *kthCol, hordc, horac, verdc;
UserData data;
/*
The components of f = udot that depend on u(i,j) are
f(i,j), f(i-1,j), f(i+1,j), f(i,j-1), f(i,j+1), with
df(i,j)/du(i,j) = -2 (1/dx^2 + 1/dy^2)
df(i-1,j)/du(i,j) = 1/dx^2 + .25/dx (if i > 1)
df(i+1,j)/du(i,j) = 1/dx^2 - .25/dx (if i < MX)
df(i,j-1)/du(i,j) = 1/dy^2 (if j > 1)
df(i,j+1)/du(i,j) = 1/dy^2 (if j < MY)
*/
data = (UserData) user_data;
hordc = data->hdcoef;
horac = data->hacoef;
verdc = data->vdcoef;
#pragma omp parallel for collapse(2) default(shared) private(i, j, k, kthCol) num_threads(data->nthreads)
for (j=1; j <= MY; j++) {
for (i=1; i <= MX; i++) {
k = j-1 + (i-1)*MY;
kthCol = SUNBandMatrix_Column(J,k);
/* set the kth column of J */
SM_COLUMN_ELEMENT_B(kthCol,k,k) = -TWO*(verdc+hordc);
if (i != 1) SM_COLUMN_ELEMENT_B(kthCol,k-MY,k) = hordc + horac;
if (i != MX) SM_COLUMN_ELEMENT_B(kthCol,k+MY,k) = hordc - horac;
if (j != 1) SM_COLUMN_ELEMENT_B(kthCol,k-1,k) = verdc;
if (j != MY) SM_COLUMN_ELEMENT_B(kthCol,k+1,k) = verdc;
}
}
return(0);
}
/*
*-------------------------------
* Private helper functions
*-------------------------------
*/
/* Set initial conditions in u vector */
static void SetIC(N_Vector u, UserData data)
{
int i, j;
realtype x, y, dx, dy;
realtype *udata;
/* Extract needed constants from data */
dx = data->dx;
dy = data->dy;
/* Set pointer to data array in vector u. */
udata = NV_DATA_OMP(u);
/* Load initial profile into u vector */
#pragma omp parallel for default(shared) private(j, i, y, x)
for (j=1; j <= MY; j++) {
y = j*dy;
for (i=1; i <= MX; i++) {
x = i*dx;
IJth(udata,i,j) = x*(XMAX - x)*y*(YMAX - y)*SUNRexp(FIVE*x*y);
}
}
}
/* Print first lines of output (problem description) */
static void PrintHeader(realtype reltol, realtype abstol, realtype umax)
{
printf("\n2-D Advection-Diffusion Equation\n");
printf("Mesh dimensions = %d X %d\n", MX, MY);
printf("Total system size = %d\n", NEQ);
#if defined(SUNDIALS_EXTENDED_PRECISION)
printf("Tolerance parameters: reltol = %Lg abstol = %Lg\n\n",
reltol, abstol);
printf("At t = %Lg max.norm(u) =%14.6Le \n", T0, umax);
#elif defined(SUNDIALS_DOUBLE_PRECISION)
printf("Tolerance parameters: reltol = %g abstol = %g\n\n",
reltol, abstol);
printf("At t = %g max.norm(u) =%14.6e \n", T0, umax);
#else
printf("Tolerance parameters: reltol = %g abstol = %g\n\n", reltol, abstol);
printf("At t = %g max.norm(u) =%14.6e \n", T0, umax);
#endif
return;
}
/* Print current value */
static void PrintOutput(realtype t, realtype umax, long int nst)
{
#if defined(SUNDIALS_EXTENDED_PRECISION)
printf("At t = %4.2Lf max.norm(u) =%14.6Le nst = %4ld\n", t, umax, nst);
#elif defined(SUNDIALS_DOUBLE_PRECISION)
printf("At t = %4.2f max.norm(u) =%14.6e nst = %4ld\n", t, umax, nst);
#else
printf("At t = %4.2f max.norm(u) =%14.6e nst = %4ld\n", t, umax, nst);
#endif
return;
}
/* Get and print some final statistics */
static void PrintFinalStats(void *cvode_mem)
{
int retval;
long int nst, nfe, nsetups, netf, nni, ncfn, nje, nfeLS;
retval = CVodeGetNumSteps(cvode_mem, &nst);
check_retval(&retval, "CVodeGetNumSteps", 1);
retval = CVodeGetNumRhsEvals(cvode_mem, &nfe);
check_retval(&retval, "CVodeGetNumRhsEvals", 1);
retval = CVodeGetNumLinSolvSetups(cvode_mem, &nsetups);
check_retval(&retval, "CVodeGetNumLinSolvSetups", 1);
retval = CVodeGetNumErrTestFails(cvode_mem, &netf);
check_retval(&retval, "CVodeGetNumErrTestFails", 1);
retval = CVodeGetNumNonlinSolvIters(cvode_mem, &nni);
check_retval(&retval, "CVodeGetNumNonlinSolvIters", 1);
retval = CVodeGetNumNonlinSolvConvFails(cvode_mem, &ncfn);
check_retval(&retval, "CVodeGetNumNonlinSolvConvFails", 1);
retval = CVodeGetNumJacEvals(cvode_mem, &nje);
check_retval(&retval, "CVodeGetNumJacEvals", 1);
retval = CVodeGetNumLinRhsEvals(cvode_mem, &nfeLS);
check_retval(&retval, "CVodeGetNumLinRhsEvals", 1);
printf("\nFinal Statistics:\n");
printf("nst = %-6ld nfe = %-6ld nsetups = %-6ld nfeLS = %-6ld nje = %ld\n",
nst, nfe, nsetups, nfeLS, nje);
printf("nni = %-6ld ncfn = %-6ld netf = %ld\n",
nni, ncfn, netf);
return;
}
/* Check function return value...
opt == 0 means SUNDIALS function allocates memory so check if
returned NULL pointer
opt == 1 means SUNDIALS function returns an integer value so check if
retval < 0
opt == 2 means function allocates memory so check if returned
NULL pointer */
static int check_retval(void *returnvalue, const char *funcname, int opt)
{
int *retval;
/* Check if SUNDIALS function returned NULL pointer - no memory allocated */
if (opt == 0 && returnvalue == NULL) {
fprintf(stderr, "\nSUNDIALS_ERROR: %s() failed - returned NULL pointer\n\n",
funcname);
return(1); }
/* Check if retval < 0 */
else if (opt == 1) {
retval = (int *) returnvalue;
if (*retval < 0) {
fprintf(stderr, "\nSUNDIALS_ERROR: %s() failed with retval = %d\n\n",
funcname, *retval);
return(1); }}
/* Check if function returned NULL pointer - no memory allocated */
else if (opt == 2 && returnvalue == NULL) {
fprintf(stderr, "\nMEMORY_ERROR: %s() failed - returned NULL pointer\n\n",
funcname);
return(1); }
return(0);
}
|
JointWMF.h |
/***************************************************************/
/*
* Distribution code Version 1.1 -- 09/21/2014 by Qi Zhang Copyright 2014, The Chinese University of Hong Kong.
*
* The Code is created based on the method described in the following paper
* [1] "100+ Times Faster Weighted Median Filter", Qi Zhang, Li Xu, Jiaya Jia, IEEE Conference on
* Computer Vision and Pattern Recognition (CVPR), 2014
*
* Due to the adaption for supporting mask and different types of input, this code is
* slightly slower than the one claimed in the original paper. Please use
* our executable on our website for performance comparison.
*
* The code and the algorithm are for non-comercial use only.
*
/***************************************************************/
#ifndef JOINT_WMF_H
#define JOINT_WMF_H
/***************************************************************/
/*
* Standard IO library is required.
* STL String library is required.
*
/***************************************************************/
#include <cstdio>
#include <string>
/***************************************************************/
/*
* OpenCV 2.4 is required.
* The following code is already built on OpenCV 2.4.2.
*
/***************************************************************/
#include "opencv2/core/core.hpp"
#include <time.h>
#include <omp.h>
//Use the namespace of CV and STD
using namespace std;
using namespace cv;
class JointWMF{
public:
/***************************************************************/
/* Function: filter
*
* Description: filter implementation of joint-histogram weighted median framework
* including clustering of feature image, adaptive quantization of input image.
*
* Input arguments:
* I: input image (any # of channels). Accept only CV_32F and CV_8U type.
* feature: the feature image ("F" in the paper). Accept only CV_8UC1 and CV_8UC3 type (the # of channels should be 1 or 3).
* r: radius of filtering kernel, should be a positive integer.
* sigma: filter range standard deviation for the feature image.
* nI: # of quantization level of input image. (only when the input image is CV_32F type)
* nF: # of clusters of feature value. (only when the feature image is 3-channel)
* iter: # of filtering times/iterations. (without changing the feature map)
* weightType: the type of weight definition, including:
* exp: exp(-|I1-I2|^2/(2*sigma^2))
* iv1: (|I1-I2|+sigma)^-1
* iv2: (|I1-I2|^2+sigma^2)^-1
* cos: dot(I1,I2)/(|I1|*|I2|)
* jac: (min(r1,r2)+min(g1,g2)+min(b1,b2))/(max(r1,r2)+max(g1,g2)+max(b1,b2))
* off: unweighted
* mask: a 0-1 mask that has the same size with I. This mask is used to ignore the effect of some pixels. If the pixel value on mask is 0,
* the pixel will be ignored when maintaining the joint-histogram. This is useful for applications like optical flow occlusion handling.
*
* Note:
* 1. When feature image clustering (when F is 3-channel) OR adaptive quantization (when I is floating point image) is
* performed, the result is an approximation. To increase the accuracy, using a larger "nI" or "nF" will help.
*
*/
/***************************************************************/
static Mat filter(Mat &I, Mat &feature, int r, float sigma=25.5, int nI=256, int nF=256, int iter=1, string weightType="exp", Mat mask=Mat()){
Mat F = feature.clone();
//check validation
assert(I.depth() == CV_32F || I.depth() == CV_8U);
assert(F.depth() == CV_8U && (F.channels()==1 || F.channels()==3));
//declaration
Mat result;
//Preprocess I
//OUTPUT OF THIS STEP: Is, iMap
//If I is floating point image, "adaptive quantization" is done in from32FTo32S.
//The mapping of floating value to integer value is stored in iMap (for each channel).
//"Is" stores each channel of "I". The channels are converted to CV_32S type after this step.
vector<float *> iMap(I.channels());
vector<Mat> Is;
{
split(I,Is);
for(int i=0;i<(int)Is.size();i++){
if(I.depth()==CV_32F){
iMap[i] = new float[nI];
from32FTo32S(Is[i],Is[i],nI,iMap[i]);
}
else if(I.depth()==CV_8U){
Is[i].convertTo(Is[i],CV_32S);
}
}
}
//Preprocess F
//OUTPUT OF THIS STEP: F(new), wMap
//If "F" is 3-channel image, "clustering feature image" is done in featureIndexing.
//If "F" is 1-channel image, featureIndexing only does a type-casting on "F".
//The output "F" is CV_32S type, containing indexes of feature values.
//"wMap" is a 2D array that defines the distance between each pair of feature indexes.
// wMap[i][j] is the weight between feature index "i" and "j".
float **wMap;
{
featureIndexing(F, wMap, nF, sigma, weightType);
}
//Filtering - Joint-Histogram Framework
{
for(int i=0;i<(int)Is.size();i++){
for(int k=0;k<iter;k++){
{//Do filtering
Is[i] = filterCore(Is[i], F, wMap, r, nF,nI,mask);
}
}
}
}
float2D_release(wMap);
//Postprocess F
//Convert input image back to the original type.
{
for(int i=0;i<(int)Is.size();i++){
if(I.depth()==CV_32F){
from32STo32F(Is[i],Is[i],iMap[i]);
delete []iMap[i];
}
else if(I.depth()==CV_8U){
Is[i].convertTo(Is[i],CV_8U);
}
}
}
//merge the channels
merge(Is,result);
//end of the function
return result;
}
/***************************************************************/
/* Function: filterCore
*
* Description: filter core implementation only containing joint-histogram weighted median framework
*
* input arguments:
* I: input image. Only accept CV_32S type.
* F: feature image. Only accept CV_32S type.
* wMap: a 2D array that defines the distance between each pair of feature values. wMap[i][j] is the weight between feature value "i" and "j".
* r: radius of filtering kernel, should be a positive integer.
* nI: # of possible values in I, i.e., all values of I should in range [0, nI)
* nF: # of possible values in F, i.e., all values of F should in range [0, nF)
* mask: a 0-1 mask that has the same size with I, for ignoring the effect of some pixels, as introduced in function "filter"
*/
/***************************************************************/
static Mat filterCore(Mat &I, Mat &F, float **wMap, int r=20, int nF=256, int nI=256, Mat mask=Mat()){
// Check validation
assert(I.depth() == CV_32S && I.channels()==1);//input image: 32SC1
assert(F.depth() == CV_32S && F.channels()==1);//feature image: 32SC1
// Configuration and declaration
int rows = I.rows, cols = I.cols;
int alls = rows * cols;
int winSize = (2*r+1)*(2*r+1);
Mat outImg = I.clone();
// Handle Mask
if(mask.empty()){
mask = Mat(I.size(),CV_8U);
mask = Scalar(1);
}
// Allocate memory for joint-histogram and BCB
int **H = int2D(nI,nF);
int *BCB = new int[nF];
// Allocate links for necklace table
int **Hf = int2D(nI,nF);//forward link
int **Hb = int2D(nI,nF);//backward link
int *BCBf = new int[nF];//forward link
int *BCBb = new int[nF];//backward link
// Column Scanning
for(int x=0;x<cols;x++){
// Reset histogram and BCB for each column
memset(BCB, 0, sizeof(int)*nF);
memset(H[0], 0, sizeof(int)*nF*nI);
for(int i=0;i<nI;i++)Hf[i][0]=Hb[i][0]=0;
BCBf[0]=BCBb[0]=0;
// Reset cut-point
int medianVal = -1;
// Precompute "x" range and checks boundary
int downX = max(0,x-r);
int upX = min(cols-1,x+r);
// Initialize joint-histogram and BCB for the first window
{
int upY = min(rows-1,r);
for(int i=0;i<=upY;i++){
int *IPtr = I.ptr<int>(i);
int *FPtr = F.ptr<int>(i);
uchar *maskPtr = mask.ptr<uchar>(i);
for(int j=downX;j<=upX;j++){
if(!maskPtr[j])continue;
int fval = IPtr[j];
int *curHist = H[fval];
int gval = FPtr[j];
// Maintain necklace table of joint-histogram
if(!curHist[gval] && gval){
int *curHf = Hf[fval];
int *curHb = Hb[fval];
int p1=0,p2=curHf[0];
curHf[p1]=gval;
curHf[gval]=p2;
curHb[p2]=gval;
curHb[gval]=p1;
}
curHist[gval]++;
// Maintain necklace table of BCB
updateBCB(BCB[gval],BCBf,BCBb,gval,-1);
}
}
}
for(int y=0;y<rows;y++){
// Find weighted median with help of BCB and joint-histogram
{
float balanceWeight = 0;
int curIndex = F.ptr<int>(y,x)[0];
float *fPtr = wMap[curIndex];
int &curMedianVal = medianVal;
// Compute current balance
int i=0;
do{
balanceWeight += BCB[i]*fPtr[i];
i=BCBf[i];
}while(i);
// Move cut-point to the left
if(balanceWeight >= 0){
for(;balanceWeight >= 0 && curMedianVal;curMedianVal--){
float curWeight = 0;
int *nextHist = H[curMedianVal];
int *nextHf = Hf[curMedianVal];
// Compute weight change by shift cut-point
int i=0;
do{
curWeight += (nextHist[i]<<1)*fPtr[i];
// Update BCB and maintain the necklace table of BCB
updateBCB(BCB[i],BCBf,BCBb,i,-(nextHist[i]<<1));
i=nextHf[i];
}while(i);
balanceWeight -= curWeight;
}
}
// Move cut-point to the right
else if(balanceWeight < 0){
for(;balanceWeight < 0 && curMedianVal != nI-1; curMedianVal++){
float curWeight = 0;
int *nextHist = H[curMedianVal+1];
int *nextHf = Hf[curMedianVal+1];
// Compute weight change by shift cut-point
int i=0;
do{
curWeight += (nextHist[i]<<1)*fPtr[i];
// Update BCB and maintain the necklace table of BCB
updateBCB(BCB[i],BCBf,BCBb,i,nextHist[i]<<1);
i=nextHf[i];
}while(i);
balanceWeight += curWeight;
}
}
// Weighted median is found and written to the output image
if(balanceWeight<0)outImg.ptr<int>(y,x)[0] = curMedianVal+1;
else outImg.ptr<int>(y,x)[0] = curMedianVal;
}
// Update joint-histogram and BCB when local window is shifted.
{
int fval,gval,*curHist;
// Add entering pixels into joint-histogram and BCB
{
int rownum = y + r + 1;
if(rownum < rows){
int *inputImgPtr = I.ptr<int>(rownum);
int *guideImgPtr = F.ptr<int>(rownum);
uchar *maskPtr = mask.ptr<uchar>(rownum);
for(int j=downX;j<=upX;j++){
if(!maskPtr[j])continue;
fval = inputImgPtr[j];
curHist = H[fval];
gval = guideImgPtr[j];
// Maintain necklace table of joint-histogram
if(!curHist[gval] && gval){
int *curHf = Hf[fval];
int *curHb = Hb[fval];
int p1=0,p2=curHf[0];
curHf[gval]=p2;
curHb[gval]=p1;
curHf[p1]=curHb[p2]=gval;
}
curHist[gval]++;
// Maintain necklace table of BCB
updateBCB(BCB[gval],BCBf,BCBb,gval,((fval <= medianVal)<<1)-1);
}
}
}
// Delete leaving pixels into joint-histogram and BCB
{
int rownum = y - r;
if(rownum >= 0){
int *inputImgPtr = I.ptr<int>(rownum);
int *guideImgPtr = F.ptr<int>(rownum);
uchar *maskPtr = mask.ptr<uchar>(rownum);
for(int j=downX;j<=upX;j++){
if(!maskPtr[j])continue;
fval = inputImgPtr[j];
curHist = H[fval];
gval = guideImgPtr[j];
curHist[gval]--;
// Maintain necklace table of joint-histogram
if(!curHist[gval] && gval){
int *curHf = Hf[fval];
int *curHb = Hb[fval];
int p1=curHb[gval],p2=curHf[gval];
curHf[p1]=p2;
curHb[p2]=p1;
}
// Maintain necklace table of BCB
updateBCB(BCB[gval],BCBf,BCBb,gval,-((fval <= medianVal)<<1)+1);
}
}
}
}
}
}
// Deallocate the memory
{
delete []BCB;
delete []BCBf;
delete []BCBb;
int2D_release(H);
int2D_release(Hf);
int2D_release(Hb);
}
// end of the function
return outImg;
}
private:
/***************************************************************/
/* Function: updateBCB
* Description: maintain the necklace table of BCB
/***************************************************************/
static inline void updateBCB(int &num,int *f,int *b,int i,int v){
static int p1,p2;
if(i){
if(!num){ // cell is becoming non-empty
p2=f[0];
f[0]=i;
f[i]=p2;
b[p2]=i;
b[i]=0;
}
else if(!(num+v)){// cell is becoming empty
p1=b[i],p2=f[i];
f[p1]=p2;
b[p2]=p1;
}
}
// update the cell count
num += v;
}
/***************************************************************/
/* Function: float2D
* Description: allocate a 2D float array with dimension "dim1 x dim2"
/***************************************************************/
static float** float2D(int dim1, int dim2){
float **ret = new float*[dim1];
ret[0] = new float[dim1*dim2];
for(int i=1;i<dim1;i++)ret[i] = ret[i-1]+dim2;
return ret;
}
/***************************************************************/
/* Function: float2D_release
* Description: deallocate the 2D array created by float2D()
/***************************************************************/
static void float2D_release(float **p){
delete []p[0];
delete []p;
}
/***************************************************************/
/* Function: int2D
* Description: allocate a 2D integer array with dimension "dim1 x dim2"
/***************************************************************/
static int** int2D(int dim1, int dim2){
int **ret = new int*[dim1];
ret[0] = new int[dim1*dim2];
for(int i=1;i<dim1;i++)ret[i] = ret[i-1]+dim2;
return ret;
}
/***************************************************************/
/* Function: int2D_release
* Description: deallocate the 2D array created by int2D()
/***************************************************************/
static void int2D_release(int **p){
delete []p[0];
delete []p;
}
/***************************************************************/
/* Function: featureIndexing
* Description: convert uchar feature image "F" to CV_32SC1 type.
* If F is 3-channel, perform k-means clustering
* If F is 1-channel, only perform type-casting
/***************************************************************/
static void featureIndexing(Mat &F, float **&wMap, int &nF, float sigmaI, string weightType){
// Configuration and Declaration
Mat FNew;
int cols = F.cols, rows = F.rows;
int alls = cols * rows;
int KmeansAttempts=1;
vector<string> ops;
ops.push_back("exp");
ops.push_back("iv1");
ops.push_back("iv2");
ops.push_back("cos");
ops.push_back("jac");
ops.push_back("off");
// Get weight type number
int numOfOps = (int)ops.size();
int op = 0;
for(;op<numOfOps;op++)if(ops[op] == weightType)break;
if(op>=numOfOps)op=0;
/* For 1 channel feature image (uchar)*/
if(F.channels() == 1){
nF = 256;
// Type-casting
F.convertTo(FNew, CV_32S);
// Computer weight map (weight between each pair of feature index)
{
wMap = float2D(nF,nF);
float nSigmaI = sigmaI;
float divider = (1.0f/(2*nSigmaI*nSigmaI));
for(int i=0;i<nF;i++){
for(int j=i;j<nF;j++){
float diff = fabs((float)(i-j));
if(op==0)wMap[i][j] = wMap[j][i] = exp(-(diff*diff)*divider); // EXP 2
else if(op==2)wMap[i][j] = wMap[j][i] = 1.0f / (diff*diff+nSigmaI*nSigmaI); // IV2
else if(op==1)wMap[i][j] = wMap[j][i] = 1.0f/(diff+nSigmaI);// IV1
else if(op==3)wMap[i][j] = wMap[j][i] = 1.0f; // COS
else if(op==4)wMap[i][j] = wMap[j][i] = (float)(min(i,j)*1.0/max(i,j)); // Jacard
else if(op==5)wMap[i][j] = wMap[j][i] = 1.0f; // Unweighted
}
}
}
}
/* For 3 channel feature image (uchar)*/
else if(F.channels() == 3){
const int shift = 2; // 256(8-bit)->64(6-bit)
const int LOW_NUM = 256>>shift;
static int hash[LOW_NUM][LOW_NUM][LOW_NUM]={0};
memset(hash,0,sizeof(hash));
// throw pixels into a 2D histogram
int candCnt = 0;
{
int lowR,lowG,lowB;
uchar *FPtr = F.ptr<uchar>();
for(int i=0,i3=0;i<alls;i++,i3+=3){
lowB = FPtr[i3]>>shift;
lowG = FPtr[i3+1]>>shift;
lowR = FPtr[i3+2]>>shift;
if(hash[lowB][lowG][lowR]==0){
candCnt++;
hash[lowB][lowG][lowR]=1;
}
}
}
nF = min(nF, candCnt);
Mat samples(candCnt,3,CV_32F);
//prepare for K-means
{
int top=0;
for(int i=0;i<LOW_NUM;i++)for(int j=0;j<LOW_NUM;j++)for(int k=0;k<LOW_NUM;k++){
if(hash[i][j][k]){
samples.ptr<float>(top)[0] = (float)i;
samples.ptr<float>(top)[1] = (float)j;
samples.ptr<float>(top)[2] = (float)k;
top++;
}
}
}
//do K-means
Mat labels;
Mat centers;
{
kmeans(samples, nF, labels, TermCriteria(TermCriteria::MAX_ITER|TermCriteria::EPS, 0, 10000), KmeansAttempts, KMEANS_PP_CENTERS, centers );
}
//make connection (i,j,k) <-> index
{
int top = 0;
for(int i=0;i<LOW_NUM;i++)for(int j=0;j<LOW_NUM;j++)for(int k=0;k<LOW_NUM;k++){
if(hash[i][j][k]){
hash[i][j][k] = labels.ptr<int>(top)[0];
top++;
}
}
}
// generate index map
{
FNew = Mat(F.size(),CV_32SC1);
int lowR,lowG,lowB;
uchar *FPtr = F.ptr<uchar>();
for(int i=0,i3=0;i<alls;i++,i3+=3){
lowB = FPtr[i3]>>shift;
lowG = FPtr[i3+1]>>shift;
lowR = FPtr[i3+2]>>shift;
FNew.ptr<int>()[i] = hash[lowB][lowG][lowR];
}
}
// Computer weight map (weight between each pair of feature index)
{
wMap = float2D(nF,nF);
float nSigmaI = sigmaI/256.0f*LOW_NUM;
float divider = (1.0f/(2*nSigmaI*nSigmaI));
float *length = new float[nF];
for(int i=0;i<nF;i++){
float a0 = centers.ptr<float>(i)[0];
float a1 = centers.ptr<float>(i)[1];
float a2 = centers.ptr<float>(i)[2];
length[i] = sqrt(a0*a0+a1*a1+a2*a2);
}
for(int i=0;i<nF;i++){
for(int j=i;j<nF;j++){
float a0 = centers.ptr<float>(i)[0], b0 = centers.ptr<float>(j)[0];
float a1 = centers.ptr<float>(i)[1], b1 = centers.ptr<float>(j)[1];
float a2 = centers.ptr<float>(i)[2], b2 = centers.ptr<float>(j)[2];
float diff0 = a0-b0;
float diff1 = a1-b1;
float diff2 = a2-b2;
if(op==0)wMap[i][j] = wMap[j][i] = exp(-(diff0*diff0+diff1*diff1+diff2*diff2)*divider); // EXP 2
else if(op==2)wMap[i][j] = wMap[j][i] = 1.0f / (diff0*diff0+diff1*diff1+diff2*diff2+nSigmaI*nSigmaI); // IV2
else if(op==1)wMap[i][j] = wMap[j][i] = 1.0f/(fabs(diff0)+fabs(diff1)+fabs(diff2)+nSigmaI);// IV1
else if(op==3)wMap[i][j] = wMap[j][i] = (a0*b0+a1*b1+a2*b2)/(length[i]*length[j]); // COS
else if(op==4)wMap[i][j] = wMap[j][i] = (min(a0,b0)+min(a1,b1)+min(a2,b2))/(max(a0,b0)+max(a1,b1)+max(a2,b2)); // Jacard
else if(op==5)wMap[i][j] = wMap[j][i] = 1.0f; // Unweighted
}
}
delete []length;
}
}
//end of the function
F = FNew;
}
/***************************************************************/
/* Function: from32FTo32S
* Description: adaptive quantization for changing a floating-point 1D image to integer image.
* The adaptive quantization strategy is based on binary search, which searches an
* upper bound of quantization error.
* The function also return a mapping between quantized value (32F) and quantized index (32S).
* The mapping is used to convert integer image back to floating-point image after filtering.
/***************************************************************/
static void from32FTo32S(Mat &img, Mat &outImg, int nI, float *mapping){
int rows = img.rows, cols = img.cols;
int alls = rows * cols;
float *imgPtr = img.ptr<float>();
typedef pair<float,int> pairFI;
pairFI *data = (pairFI *)malloc(alls*sizeof(pairFI));
// Sort all pixels of the image by ascending order of pixel value
{
#pragma omp parallel for
for(int i=0;i<alls;i++){
data[i].second = i;
data[i].first = imgPtr[i];
}
sort(data,data+alls);
}
// Find lower bound and upper bound of the pixel values
double maxVal,minVal;
minMaxLoc(img,&minVal,&maxVal);
float maxRange = (float)(maxVal - minVal);
float th = 1e-5f;
float l = 0, r = maxRange*2.0f/nI;
// Perform binary search on error bound
while(r-l > th){
float m = (r+l)*0.5f;
bool suc = true;
float base = (float)minVal;
int cnt=0;
for(int i=0;i<alls;i++){
if(data[i].first>base+m){
cnt++;
base = data[i].first;
if(cnt==nI){
suc = false;
break;
}
}
}
if(suc)r=m;
else l=m;
}
Mat retImg(img.size(),CV_32SC1);
int *retImgPtr = retImg.ptr<int>();
// In the sorted list, divide pixel values into clusters according to the minimum error bound
// Quantize each value to the median of its cluster
// Also record the mapping of quantized value and quantized index.
float base = (float)minVal;
int baseI = 0;
int cnt = 0;
for(int i=0;i<=alls;i++){
if(i==alls || data[i].first>base+r){
mapping[cnt] = data[(baseI+i-1)>>1].first; //median
if(i==alls)break;
cnt++;
base = data[i].first;
baseI = i;
}
retImgPtr[data[i].second] = cnt;
}
free(data);
//end of the function
outImg = retImg;
}
/***************************************************************/
/* Function: from32STo32F
* Description: convert the quantization index image back to the floating-point image accroding to the mapping
/***************************************************************/
static void from32STo32F(Mat &img, Mat &outImg, float *mapping){
Mat retImg(img.size(),CV_32F);
int rows = img.rows, cols = img.cols, alls = rows*cols;
float *retImgPtr = retImg.ptr<float>();
int *imgPtr = img.ptr<int>();
// convert 32S index to 32F real value
#pragma omp parallel for
for(int i=0;i<alls;i++){
retImgPtr[i] = mapping[imgPtr[i]];
}
// end of the function
outImg = retImg;
}
};
#endif
|
sstruct_matrix.c | /******************************************************************************
* Copyright 1998-2019 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
/******************************************************************************
*
* Member functions for hypre_SStructPMatrix class.
*
*****************************************************************************/
#include "_hypre_sstruct_mv.h"
#include "_hypre_struct_mv.hpp"
/*==========================================================================
* SStructPMatrix routines
*==========================================================================*/
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixRef( hypre_SStructPMatrix *matrix,
hypre_SStructPMatrix **matrix_ref )
{
hypre_SStructPMatrixRefCount(matrix) ++;
*matrix_ref = matrix;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixCreate( MPI_Comm comm,
hypre_SStructPGrid *pgrid,
hypre_SStructStencil **stencils,
hypre_SStructPMatrix **pmatrix_ptr )
{
hypre_SStructPMatrix *pmatrix;
HYPRE_Int nvars;
HYPRE_Int **smaps;
hypre_StructStencil ***sstencils;
hypre_StructMatrix ***smatrices;
HYPRE_Int **symmetric;
hypre_StructStencil *sstencil;
HYPRE_Int *vars;
hypre_Index *sstencil_shape;
HYPRE_Int sstencil_size;
HYPRE_Int new_dim;
HYPRE_Int *new_sizes;
hypre_Index **new_shapes;
HYPRE_Int size;
hypre_StructGrid *sgrid;
HYPRE_Int vi, vj;
HYPRE_Int i, j, k;
pmatrix = hypre_TAlloc(hypre_SStructPMatrix, 1, HYPRE_MEMORY_HOST);
hypre_SStructPMatrixComm(pmatrix) = comm;
hypre_SStructPMatrixPGrid(pmatrix) = pgrid;
hypre_SStructPMatrixStencils(pmatrix) = stencils;
nvars = hypre_SStructPGridNVars(pgrid);
hypre_SStructPMatrixNVars(pmatrix) = nvars;
/* create sstencils */
smaps = hypre_TAlloc(HYPRE_Int *, nvars, HYPRE_MEMORY_HOST);
sstencils = hypre_TAlloc(hypre_StructStencil **, nvars, HYPRE_MEMORY_HOST);
new_sizes = hypre_TAlloc(HYPRE_Int, nvars, HYPRE_MEMORY_HOST);
new_shapes = hypre_TAlloc(hypre_Index *, nvars, HYPRE_MEMORY_HOST);
size = 0;
for (vi = 0; vi < nvars; vi++)
{
sstencils[vi] = hypre_TAlloc(hypre_StructStencil *, nvars, HYPRE_MEMORY_HOST);
for (vj = 0; vj < nvars; vj++)
{
sstencils[vi][vj] = NULL;
new_sizes[vj] = 0;
}
sstencil = hypre_SStructStencilSStencil(stencils[vi]);
vars = hypre_SStructStencilVars(stencils[vi]);
sstencil_shape = hypre_StructStencilShape(sstencil);
sstencil_size = hypre_StructStencilSize(sstencil);
smaps[vi] = hypre_TAlloc(HYPRE_Int, sstencil_size, HYPRE_MEMORY_HOST);
for (i = 0; i < sstencil_size; i++)
{
j = vars[i];
new_sizes[j]++;
}
for (vj = 0; vj < nvars; vj++)
{
if (new_sizes[vj])
{
new_shapes[vj] = hypre_TAlloc(hypre_Index, new_sizes[vj], HYPRE_MEMORY_HOST);
new_sizes[vj] = 0;
}
}
for (i = 0; i < sstencil_size; i++)
{
j = vars[i];
k = new_sizes[j];
hypre_CopyIndex(sstencil_shape[i], new_shapes[j][k]);
smaps[vi][i] = k;
new_sizes[j]++;
}
new_dim = hypre_StructStencilNDim(sstencil);
for (vj = 0; vj < nvars; vj++)
{
if (new_sizes[vj])
{
sstencils[vi][vj] =
hypre_StructStencilCreate(new_dim, new_sizes[vj], new_shapes[vj]);
}
size = hypre_max(size, new_sizes[vj]);
}
}
hypre_SStructPMatrixSMaps(pmatrix) = smaps;
hypre_SStructPMatrixSStencils(pmatrix) = sstencils;
hypre_TFree(new_sizes, HYPRE_MEMORY_HOST);
hypre_TFree(new_shapes, HYPRE_MEMORY_HOST);
/* create smatrices */
smatrices = hypre_TAlloc(hypre_StructMatrix **, nvars, HYPRE_MEMORY_HOST);
for (vi = 0; vi < nvars; vi++)
{
smatrices[vi] = hypre_TAlloc(hypre_StructMatrix *, nvars, HYPRE_MEMORY_HOST);
for (vj = 0; vj < nvars; vj++)
{
smatrices[vi][vj] = NULL;
if (sstencils[vi][vj] != NULL)
{
sgrid = hypre_SStructPGridSGrid(pgrid, vi);
smatrices[vi][vj] =
hypre_StructMatrixCreate(comm, sgrid, sstencils[vi][vj]);
}
}
}
hypre_SStructPMatrixSMatrices(pmatrix) = smatrices;
/* create symmetric */
symmetric = hypre_TAlloc(HYPRE_Int *, nvars, HYPRE_MEMORY_HOST);
for (vi = 0; vi < nvars; vi++)
{
symmetric[vi] = hypre_TAlloc(HYPRE_Int, nvars, HYPRE_MEMORY_HOST);
for (vj = 0; vj < nvars; vj++)
{
symmetric[vi][vj] = 0;
}
}
hypre_SStructPMatrixSymmetric(pmatrix) = symmetric;
hypre_SStructPMatrixSEntriesSize(pmatrix) = size;
hypre_SStructPMatrixSEntries(pmatrix) = hypre_TAlloc(HYPRE_Int, size, HYPRE_MEMORY_HOST);
hypre_SStructPMatrixRefCount(pmatrix) = 1;
*pmatrix_ptr = pmatrix;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixDestroy( hypre_SStructPMatrix *pmatrix )
{
hypre_SStructStencil **stencils;
HYPRE_Int nvars;
HYPRE_Int **smaps;
hypre_StructStencil ***sstencils;
hypre_StructMatrix ***smatrices;
HYPRE_Int **symmetric;
HYPRE_Int vi, vj;
if (pmatrix)
{
hypre_SStructPMatrixRefCount(pmatrix) --;
if (hypre_SStructPMatrixRefCount(pmatrix) == 0)
{
stencils = hypre_SStructPMatrixStencils(pmatrix);
nvars = hypre_SStructPMatrixNVars(pmatrix);
smaps = hypre_SStructPMatrixSMaps(pmatrix);
sstencils = hypre_SStructPMatrixSStencils(pmatrix);
smatrices = hypre_SStructPMatrixSMatrices(pmatrix);
symmetric = hypre_SStructPMatrixSymmetric(pmatrix);
for (vi = 0; vi < nvars; vi++)
{
HYPRE_SStructStencilDestroy(stencils[vi]);
hypre_TFree(smaps[vi], HYPRE_MEMORY_HOST);
for (vj = 0; vj < nvars; vj++)
{
hypre_StructStencilDestroy(sstencils[vi][vj]);
hypre_StructMatrixDestroy(smatrices[vi][vj]);
}
hypre_TFree(sstencils[vi], HYPRE_MEMORY_HOST);
hypre_TFree(smatrices[vi], HYPRE_MEMORY_HOST);
hypre_TFree(symmetric[vi], HYPRE_MEMORY_HOST);
}
hypre_TFree(stencils, HYPRE_MEMORY_HOST);
hypre_TFree(smaps, HYPRE_MEMORY_HOST);
hypre_TFree(sstencils, HYPRE_MEMORY_HOST);
hypre_TFree(smatrices, HYPRE_MEMORY_HOST);
hypre_TFree(symmetric, HYPRE_MEMORY_HOST);
hypre_TFree(hypre_SStructPMatrixSEntries(pmatrix), HYPRE_MEMORY_HOST);
hypre_TFree(pmatrix, HYPRE_MEMORY_HOST);
}
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixInitialize( hypre_SStructPMatrix *pmatrix )
{
HYPRE_Int nvars = hypre_SStructPMatrixNVars(pmatrix);
HYPRE_Int **symmetric = hypre_SStructPMatrixSymmetric(pmatrix);
hypre_StructMatrix *smatrix;
HYPRE_Int vi, vj;
/* HYPRE_Int num_ghost[2*HYPRE_MAXDIM]; */
/* HYPRE_Int vi, vj, d, ndim; */
#if 0
ndim = hypre_SStructPMatrixNDim(pmatrix);
/* RDF: Why are the ghosts being reset to one? Maybe it needs to be at least
* one to set shared coefficients correctly, but not exactly one? */
for (d = 0; d < ndim; d++)
{
num_ghost[2*d] = num_ghost[2*d+1] = 1;
}
#endif
for (vi = 0; vi < nvars; vi++)
{
for (vj = 0; vj < nvars; vj++)
{
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, vi, vj);
if (smatrix != NULL)
{
HYPRE_StructMatrixSetSymmetric(smatrix, symmetric[vi][vj]);
/* hypre_StructMatrixSetNumGhost(smatrix, num_ghost); */
hypre_StructMatrixInitialize(smatrix);
/* needed to get AddTo accumulation correct between processors */
hypre_StructMatrixClearGhostValues(smatrix);
}
}
}
hypre_SStructPMatrixAccumulated(pmatrix) = 0;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* (action > 0): add-to values
* (action = 0): set values
* (action < 0): get values
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixSetValues( hypre_SStructPMatrix *pmatrix,
hypre_Index index,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
HYPRE_Complex *values,
HYPRE_Int action )
{
hypre_SStructStencil *stencil = hypre_SStructPMatrixStencil(pmatrix, var);
HYPRE_Int *smap = hypre_SStructPMatrixSMap(pmatrix, var);
HYPRE_Int *vars = hypre_SStructStencilVars(stencil);
hypre_StructMatrix *smatrix;
hypre_BoxArray *grid_boxes;
hypre_Box *box, *grow_box;
HYPRE_Int *sentries;
HYPRE_Int i;
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, var, vars[entries[0]]);
sentries = hypre_SStructPMatrixSEntries(pmatrix);
for (i = 0; i < nentries; i++)
{
sentries[i] = smap[entries[i]];
}
/* set values inside the grid */
hypre_StructMatrixSetValues(smatrix, index, nentries, sentries, values,
action, -1, 0);
/* set (AddTo/Get) or clear (Set) values outside the grid in ghost zones */
if (action != 0)
{
/* AddTo/Get */
hypre_SStructPGrid *pgrid = hypre_SStructPMatrixPGrid(pmatrix);
hypre_Index varoffset;
HYPRE_Int done = 0;
grid_boxes = hypre_StructGridBoxes(hypre_StructMatrixGrid(smatrix));
hypre_ForBoxI(i, grid_boxes)
{
box = hypre_BoxArrayBox(grid_boxes, i);
if (hypre_IndexInBox(index, box))
{
done = 1;
break;
}
}
if (!done)
{
grow_box = hypre_BoxCreate(hypre_BoxArrayNDim(grid_boxes));
hypre_SStructVariableGetOffset(hypre_SStructPGridVarType(pgrid, var),
hypre_SStructPGridNDim(pgrid), varoffset);
hypre_ForBoxI(i, grid_boxes)
{
box = hypre_BoxArrayBox(grid_boxes, i);
hypre_CopyBox(box, grow_box);
hypre_BoxGrowByIndex(grow_box, varoffset);
if (hypre_IndexInBox(index, grow_box))
{
hypre_StructMatrixSetValues(smatrix, index, nentries, sentries,
values, action, i, 1);
break;
}
}
hypre_BoxDestroy(grow_box);
}
}
else
{
/* Set */
grid_boxes = hypre_StructGridBoxes(hypre_StructMatrixGrid(smatrix));
hypre_ForBoxI(i, grid_boxes)
{
box = hypre_BoxArrayBox(grid_boxes, i);
if (!hypre_IndexInBox(index, box))
{
hypre_StructMatrixClearValues(smatrix, index, nentries, sentries, i, 1);
}
}
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* (action > 0): add-to values
* (action = 0): set values
* (action < 0): get values
* (action =-2): get values and zero out
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixSetBoxValues( hypre_SStructPMatrix *pmatrix,
hypre_Box *set_box,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
hypre_Box *value_box,
HYPRE_Complex *values,
HYPRE_Int action )
{
HYPRE_Int ndim = hypre_SStructPMatrixNDim(pmatrix);
hypre_SStructStencil *stencil = hypre_SStructPMatrixStencil(pmatrix, var);
HYPRE_Int *smap = hypre_SStructPMatrixSMap(pmatrix, var);
HYPRE_Int *vars = hypre_SStructStencilVars(stencil);
hypre_StructMatrix *smatrix;
hypre_BoxArray *grid_boxes;
HYPRE_Int *sentries;
HYPRE_Int i, j;
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, var, vars[entries[0]]);
sentries = hypre_SStructPMatrixSEntries(pmatrix);
for (i = 0; i < nentries; i++)
{
sentries[i] = smap[entries[i]];
}
/* set values inside the grid */
hypre_StructMatrixSetBoxValues(smatrix, set_box, value_box, nentries, sentries,
values, action, -1, 0);
/* TODO: Why need DeviceSync? */
#if defined(HYPRE_USING_GPU)
hypre_SyncCudaDevice(hypre_handle());
#endif
/* set (AddTo/Get) or clear (Set) values outside the grid in ghost zones */
if (action != 0)
{
/* AddTo/Get */
hypre_SStructPGrid *pgrid = hypre_SStructPMatrixPGrid(pmatrix);
hypre_Index varoffset;
hypre_BoxArray *left_boxes, *done_boxes, *temp_boxes;
hypre_Box *left_box, *done_box, *int_box;
hypre_SStructVariableGetOffset(hypre_SStructPGridVarType(pgrid, var),
hypre_SStructPGridNDim(pgrid), varoffset);
grid_boxes = hypre_StructGridBoxes(hypre_StructMatrixGrid(smatrix));
left_boxes = hypre_BoxArrayCreate(1, ndim);
done_boxes = hypre_BoxArrayCreate(2, ndim);
temp_boxes = hypre_BoxArrayCreate(0, ndim);
/* done_box always points to the first box in done_boxes */
done_box = hypre_BoxArrayBox(done_boxes, 0);
/* int_box always points to the second box in done_boxes */
int_box = hypre_BoxArrayBox(done_boxes, 1);
hypre_CopyBox(set_box, hypre_BoxArrayBox(left_boxes, 0));
hypre_BoxArraySetSize(left_boxes, 1);
hypre_SubtractBoxArrays(left_boxes, grid_boxes, temp_boxes);
hypre_BoxArraySetSize(done_boxes, 0);
hypre_ForBoxI(i, grid_boxes)
{
hypre_SubtractBoxArrays(left_boxes, done_boxes, temp_boxes);
hypre_BoxArraySetSize(done_boxes, 1);
hypre_CopyBox(hypre_BoxArrayBox(grid_boxes, i), done_box);
hypre_BoxGrowByIndex(done_box, varoffset);
hypre_ForBoxI(j, left_boxes)
{
left_box = hypre_BoxArrayBox(left_boxes, j);
hypre_IntersectBoxes(left_box, done_box, int_box);
hypre_StructMatrixSetBoxValues(smatrix, int_box, value_box,
nentries, sentries,
values, action, i, 1);
}
}
hypre_BoxArrayDestroy(left_boxes);
hypre_BoxArrayDestroy(done_boxes);
hypre_BoxArrayDestroy(temp_boxes);
}
else
{
/* Set */
hypre_BoxArray *diff_boxes;
hypre_Box *grid_box, *diff_box;
grid_boxes = hypre_StructGridBoxes(hypre_StructMatrixGrid(smatrix));
diff_boxes = hypre_BoxArrayCreate(0, ndim);
hypre_ForBoxI(i, grid_boxes)
{
grid_box = hypre_BoxArrayBox(grid_boxes, i);
hypre_BoxArraySetSize(diff_boxes, 0);
hypre_SubtractBoxes(set_box, grid_box, diff_boxes);
hypre_ForBoxI(j, diff_boxes)
{
diff_box = hypre_BoxArrayBox(diff_boxes, j);
hypre_StructMatrixClearBoxValues(smatrix, diff_box, nentries, sentries,
i, 1);
}
}
hypre_BoxArrayDestroy(diff_boxes);
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixAccumulate( hypre_SStructPMatrix *pmatrix )
{
hypre_SStructPGrid *pgrid = hypre_SStructPMatrixPGrid(pmatrix);
HYPRE_Int nvars = hypre_SStructPMatrixNVars(pmatrix);
HYPRE_Int ndim = hypre_SStructPGridNDim(pgrid);
HYPRE_SStructVariable *vartypes = hypre_SStructPGridVarTypes(pgrid);
hypre_StructMatrix *smatrix;
hypre_Index varoffset;
HYPRE_Int num_ghost[2*HYPRE_MAXDIM];
hypre_StructGrid *sgrid;
HYPRE_Int vi, vj, d;
hypre_CommInfo *comm_info;
hypre_CommPkg *comm_pkg;
hypre_CommHandle *comm_handle;
/* if values already accumulated, just return */
if (hypre_SStructPMatrixAccumulated(pmatrix))
{
return hypre_error_flag;
}
for (vi = 0; vi < nvars; vi++)
{
for (vj = 0; vj < nvars; vj++)
{
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, vi, vj);
if (smatrix != NULL)
{
sgrid = hypre_StructMatrixGrid(smatrix);
/* assumes vi and vj vartypes are the same */
hypre_SStructVariableGetOffset(vartypes[vi], ndim, varoffset);
for (d = 0; d < ndim; d++)
{
num_ghost[2*d] = num_ghost[2*d+1] = hypre_IndexD(varoffset, d);
}
/* accumulate values from AddTo */
hypre_CreateCommInfoFromNumGhost(sgrid, num_ghost, &comm_info);
hypre_CommPkgCreate(comm_info,
hypre_StructMatrixDataSpace(smatrix),
hypre_StructMatrixDataSpace(smatrix),
hypre_StructMatrixNumValues(smatrix), NULL, 1,
hypre_StructMatrixComm(smatrix),
&comm_pkg);
hypre_InitializeCommunication(comm_pkg,
hypre_StructMatrixData(smatrix),
hypre_StructMatrixData(smatrix),
1, 0, &comm_handle);
hypre_FinalizeCommunication(comm_handle);
hypre_CommInfoDestroy(comm_info);
hypre_CommPkgDestroy(comm_pkg);
}
}
}
hypre_SStructPMatrixAccumulated(pmatrix) = 1;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixAssemble( hypre_SStructPMatrix *pmatrix )
{
HYPRE_Int nvars = hypre_SStructPMatrixNVars(pmatrix);
hypre_StructMatrix *smatrix;
HYPRE_Int vi, vj;
hypre_SStructPMatrixAccumulate(pmatrix);
for (vi = 0; vi < nvars; vi++)
{
for (vj = 0; vj < nvars; vj++)
{
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, vi, vj);
if (smatrix != NULL)
{
hypre_StructMatrixClearGhostValues(smatrix);
hypre_StructMatrixAssemble(smatrix);
}
}
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixSetSymmetric( hypre_SStructPMatrix *pmatrix,
HYPRE_Int var,
HYPRE_Int to_var,
HYPRE_Int symmetric )
{
HYPRE_Int **pmsymmetric = hypre_SStructPMatrixSymmetric(pmatrix);
HYPRE_Int vstart = var;
HYPRE_Int vsize = 1;
HYPRE_Int tstart = to_var;
HYPRE_Int tsize = 1;
HYPRE_Int v, t;
if (var == -1)
{
vstart = 0;
vsize = hypre_SStructPMatrixNVars(pmatrix);
}
if (to_var == -1)
{
tstart = 0;
tsize = hypre_SStructPMatrixNVars(pmatrix);
}
for (v = vstart; v < vsize; v++)
{
for (t = tstart; t < tsize; t++)
{
pmsymmetric[v][t] = symmetric;
}
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructPMatrixPrint( const char *filename,
hypre_SStructPMatrix *pmatrix,
HYPRE_Int all )
{
HYPRE_Int nvars = hypre_SStructPMatrixNVars(pmatrix);
hypre_StructMatrix *smatrix;
HYPRE_Int vi, vj;
char new_filename[255];
for (vi = 0; vi < nvars; vi++)
{
for (vj = 0; vj < nvars; vj++)
{
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, vi, vj);
if (smatrix != NULL)
{
hypre_sprintf(new_filename, "%s.%02d.%02d", filename, vi, vj);
hypre_StructMatrixPrint(new_filename, smatrix, all);
}
}
}
return hypre_error_flag;
}
/*==========================================================================
* SStructUMatrix routines
*==========================================================================*/
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructUMatrixInitialize( hypre_SStructMatrix *matrix )
{
HYPRE_Int ndim = hypre_SStructMatrixNDim(matrix);
HYPRE_IJMatrix ijmatrix = hypre_SStructMatrixIJMatrix(matrix);
HYPRE_Int matrix_type = hypre_SStructMatrixObjectType(matrix);
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(matrix);
hypre_SStructGrid *grid = hypre_SStructGraphGrid(graph);
HYPRE_Int nparts = hypre_SStructGraphNParts(graph);
hypre_SStructPGrid **pgrids = hypre_SStructGraphPGrids(graph);
hypre_SStructStencil ***stencils = hypre_SStructGraphStencils(graph);
HYPRE_Int nUventries = hypre_SStructGraphNUVEntries(graph);
HYPRE_Int *iUventries = hypre_SStructGraphIUVEntries(graph);
hypre_SStructUVEntry **Uventries = hypre_SStructGraphUVEntries(graph);
HYPRE_Int **nvneighbors = hypre_SStructGridNVNeighbors(grid);
hypre_StructGrid *sgrid;
hypre_SStructStencil *stencil;
HYPRE_Int *split;
HYPRE_Int nvars;
HYPRE_Int nrows, rowstart, nnzs ;
HYPRE_Int part, var, entry, b, m, mi;
HYPRE_Int *row_sizes;
HYPRE_Int max_row_size;
hypre_BoxArray *boxes;
hypre_Box *box;
hypre_Box *ghost_box;
hypre_IndexRef start;
hypre_Index loop_size, stride;
HYPRE_IJMatrixSetObjectType(ijmatrix, HYPRE_PARCSR);
#ifdef HYPRE_USING_OPENMP
HYPRE_IJMatrixSetOMPFlag(ijmatrix, 1); /* Use OpenMP */
#endif
if (matrix_type == HYPRE_SSTRUCT || matrix_type == HYPRE_STRUCT)
{
rowstart = hypre_SStructGridGhstartRank(grid);
nrows = hypre_SStructGridGhlocalSize(grid) ;
}
else /* matrix_type == HYPRE_PARCSR */
{
rowstart = hypre_SStructGridStartRank(grid);
nrows = hypre_SStructGridLocalSize(grid);
}
/* set row sizes */
m = 0;
max_row_size = 0;
ghost_box = hypre_BoxCreate(ndim);
row_sizes = hypre_CTAlloc(HYPRE_Int, nrows, HYPRE_MEMORY_HOST);
hypre_SetIndex(stride, 1);
for (part = 0; part < nparts; part++)
{
nvars = hypre_SStructPGridNVars(pgrids[part]);
for (var = 0; var < nvars; var++)
{
sgrid = hypre_SStructPGridSGrid(pgrids[part], var);
stencil = stencils[part][var];
split = hypre_SStructMatrixSplit(matrix, part, var);
nnzs = 0;
for (entry = 0; entry < hypre_SStructStencilSize(stencil); entry++)
{
if (split[entry] == -1)
{
nnzs++;
}
}
#if 0
/* TODO: For now, assume stencil is full/complete */
if (hypre_SStructMatrixSymmetric(matrix))
{
nnzs = 2*nnzs - 1;
}
#endif
boxes = hypre_StructGridBoxes(sgrid);
hypre_ForBoxI(b, boxes)
{
box = hypre_BoxArrayBox(boxes, b);
hypre_CopyBox(box, ghost_box);
if (matrix_type == HYPRE_SSTRUCT || matrix_type == HYPRE_STRUCT)
{
hypre_BoxGrowByArray(ghost_box, hypre_StructGridNumGhost(sgrid));
}
start = hypre_BoxIMin(box);
hypre_BoxGetSize(box, loop_size);
zypre_BoxLoop1Begin(hypre_SStructMatrixNDim(matrix), loop_size,
ghost_box, start, stride, mi);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,mi) HYPRE_SMP_SCHEDULE
#endif
zypre_BoxLoop1For(mi)
{
row_sizes[m+mi] = nnzs;
}
zypre_BoxLoop1End(mi);
m += hypre_BoxVolume(ghost_box);
}
max_row_size = hypre_max(max_row_size, nnzs);
if (nvneighbors[part][var])
{
max_row_size =
hypre_max(max_row_size, hypre_SStructStencilSize(stencil));
}
}
}
hypre_BoxDestroy(ghost_box);
/* GEC0902 essentially for each UVentry we figure out how many extra columns
* we need to add to the rowsizes */
/* RDF: THREAD? */
for (entry = 0; entry < nUventries; entry++)
{
mi = iUventries[entry];
m = hypre_SStructUVEntryRank(Uventries[mi]) - rowstart;
if ((m > -1) && (m < nrows))
{
row_sizes[m] += hypre_SStructUVEntryNUEntries(Uventries[mi]);
max_row_size = hypre_max(max_row_size, row_sizes[m]);
}
}
/* ZTODO: Update row_sizes based on neighbor off-part couplings */
HYPRE_IJMatrixSetRowSizes (ijmatrix, (const HYPRE_Int *) row_sizes);
hypre_TFree(row_sizes, HYPRE_MEMORY_HOST);
hypre_SStructMatrixTmpSize(matrix) = max_row_size;
hypre_SStructMatrixTmpRowCoords(matrix) = hypre_CTAlloc(HYPRE_BigInt, max_row_size, HYPRE_MEMORY_HOST);
hypre_SStructMatrixTmpColCoords(matrix) = hypre_CTAlloc(HYPRE_BigInt, max_row_size, HYPRE_MEMORY_HOST);
hypre_SStructMatrixTmpCoeffs(matrix) = hypre_CTAlloc(HYPRE_Complex, max_row_size, HYPRE_MEMORY_HOST);
hypre_SStructMatrixTmpRowCoordsDevice(matrix) = hypre_CTAlloc(HYPRE_BigInt, max_row_size, HYPRE_MEMORY_DEVICE);
hypre_SStructMatrixTmpColCoordsDevice(matrix) = hypre_CTAlloc(HYPRE_BigInt, max_row_size, HYPRE_MEMORY_DEVICE);
hypre_SStructMatrixTmpCoeffsDevice(matrix) = hypre_CTAlloc(HYPRE_Complex, max_row_size, HYPRE_MEMORY_DEVICE);
HYPRE_IJMatrixInitialize(ijmatrix);
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* (action > 0): add-to values
* (action = 0): set values
* (action < 0): get values
*
* 9/09 - AB: modified to use the box manager - here we need to check the
* neighbor box manager also
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructUMatrixSetValues( hypre_SStructMatrix *matrix,
HYPRE_Int part,
hypre_Index index,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
HYPRE_Complex *values,
HYPRE_Int action )
{
HYPRE_Int ndim = hypre_SStructMatrixNDim(matrix);
HYPRE_IJMatrix ijmatrix = hypre_SStructMatrixIJMatrix(matrix);
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(matrix);
hypre_SStructGrid *grid = hypre_SStructGraphGrid(graph);
hypre_SStructGrid *dom_grid = hypre_SStructGraphDomainGrid(graph);
hypre_SStructStencil *stencil = hypre_SStructGraphStencil(graph, part, var);
HYPRE_Int *vars = hypre_SStructStencilVars(stencil);
hypre_Index *shape = hypre_SStructStencilShape(stencil);
HYPRE_Int size = hypre_SStructStencilSize(stencil);
hypre_IndexRef offset;
hypre_Index to_index;
hypre_SStructUVEntry *Uventry;
hypre_BoxManEntry *boxman_entry;
hypre_SStructBoxManInfo *entry_info;
HYPRE_BigInt row_coord;
HYPRE_BigInt *col_coords;
HYPRE_Int ncoeffs;
HYPRE_Complex *coeffs;
HYPRE_Int i, entry;
HYPRE_BigInt Uverank;
HYPRE_Int matrix_type = hypre_SStructMatrixObjectType(matrix);
HYPRE_Complex *h_values;
hypre_SStructGridFindBoxManEntry(grid, part, index, var, &boxman_entry);
/* if not local, check neighbors */
if (boxman_entry == NULL)
hypre_SStructGridFindNborBoxManEntry(grid, part, index, var, &boxman_entry);
if (boxman_entry == NULL)
{
hypre_error_in_arg(1);
hypre_error_in_arg(2);
hypre_error_in_arg(3);
return hypre_error_flag;
}
else
{
hypre_BoxManEntryGetInfo(boxman_entry, (void **) &entry_info);
}
hypre_SStructBoxManEntryGetGlobalRank(boxman_entry, index,
&row_coord, matrix_type);
col_coords = hypre_SStructMatrixTmpColCoords(matrix);
coeffs = hypre_SStructMatrixTmpCoeffs(matrix);
/* RL: copy values to host since the following for-loop is on CPU */
if ( hypre_GetActualMemLocation(HYPRE_MEMORY_DEVICE) != hypre_MEMORY_HOST )
{
h_values = hypre_TAlloc(HYPRE_Complex, nentries, HYPRE_MEMORY_HOST);
hypre_TMemcpy(h_values, values, HYPRE_Complex, nentries, HYPRE_MEMORY_HOST, HYPRE_MEMORY_DEVICE);
}
else
{
h_values = values;
}
/* RL: TODO Port it to GPU? */
ncoeffs = 0;
for (i = 0; i < nentries; i++)
{
entry = entries[i];
if (entry < size)
{
/* stencil entries */
offset = shape[entry];
hypre_AddIndexes(index, offset, ndim, to_index);
hypre_SStructGridFindBoxManEntry(dom_grid, part, to_index, vars[entry],
&boxman_entry);
/* if not local, check neighbors */
if (boxman_entry == NULL)
{
hypre_SStructGridFindNborBoxManEntry(dom_grid, part, to_index,
vars[entry], &boxman_entry);
}
if (boxman_entry != NULL)
{
hypre_SStructBoxManEntryGetGlobalRank(boxman_entry, to_index,
&col_coords[ncoeffs],matrix_type);
coeffs[ncoeffs] = h_values[i];
ncoeffs++;
}
}
else
{
/* non-stencil entries */
entry -= size;
hypre_SStructGraphGetUVEntryRank(graph, part, var, index, &Uverank);
if (Uverank > -1)
{
Uventry = hypre_SStructGraphUVEntry(graph, Uverank);
col_coords[ncoeffs] = hypre_SStructUVEntryToRank(Uventry, entry);
coeffs[ncoeffs] = h_values[i];
ncoeffs++;
}
}
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_BigInt *d_row_coords = hypre_SStructMatrixTmpRowCoordsDevice(matrix);
HYPRE_BigInt *d_col_coords = hypre_SStructMatrixTmpColCoordsDevice(matrix);
HYPRE_Complex *d_coeffs = hypre_SStructMatrixTmpCoeffsDevice(matrix);
if ( hypre_GetExecPolicy1(hypre_IJMatrixMemoryLocation(ijmatrix)) == HYPRE_EXEC_DEVICE )
{
hypreDevice_BigIntFilln(d_row_coords, ncoeffs, row_coord);
hypre_TMemcpy(d_col_coords, col_coords, HYPRE_BigInt, ncoeffs, HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
hypre_TMemcpy(d_coeffs, coeffs, HYPRE_Complex, ncoeffs, HYPRE_MEMORY_DEVICE, HYPRE_MEMORY_HOST);
if (action > 0)
{
HYPRE_IJMatrixAddToValues(ijmatrix, ncoeffs, NULL, d_row_coords,
(const HYPRE_BigInt *) d_col_coords,
(const HYPRE_Complex *) d_coeffs);
}
else if (action > -1)
{
HYPRE_IJMatrixSetValues(ijmatrix, ncoeffs, NULL, d_row_coords,
(const HYPRE_BigInt *) d_col_coords,
(const HYPRE_Complex *) d_coeffs);
}
else
{
// RL:TODO
HYPRE_IJMatrixGetValues(ijmatrix, 1, &ncoeffs, &row_coord,
col_coords, values);
}
}
else
#endif
{
if (action > 0)
{
HYPRE_IJMatrixAddToValues(ijmatrix, 1, &ncoeffs, &row_coord,
(const HYPRE_BigInt *) col_coords,
(const HYPRE_Complex *) coeffs);
}
else if (action > -1)
{
HYPRE_IJMatrixSetValues(ijmatrix, 1, &ncoeffs, &row_coord,
(const HYPRE_BigInt *) col_coords,
(const HYPRE_Complex *) coeffs);
}
else
{
HYPRE_IJMatrixGetValues(ijmatrix, 1, &ncoeffs, &row_coord,
col_coords, values);
}
}
if (h_values != values)
{
hypre_TFree(h_values, HYPRE_MEMORY_HOST);
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* Note: Entries must all be of type stencil or non-stencil, but not both.
*
* (action > 0): add-to values
* (action = 0): set values
* (action < 0): get values
*
* 9/09 - AB: modified to use the box manager- here we need to check the
* neighbor box manager also
*
* To illustrate what is computed below before calling IJSetValues2(), consider
* the following example of a 5-pt stencil (c,w,e,s,n) on a 3x2 grid (the 'x' in
* arrays 'cols' and 'ijvalues' indicates "no data"):
*
* nrows = 6
* ncols = 3 4 3 3 4 3
* rows = 0 1 2 3 4 5
* row_indexes = 0 5 10 15 20 25
* cols = . . . x x . . . . x . . . x x . . . x x . . . . x . . . x x
* ijvalues = . . . x x . . . . x . . . x x . . . x x . . . . x . . . x x
* entry = c e n c w e n c w n c e s c w e s c w s
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructUMatrixSetBoxValues( hypre_SStructMatrix *matrix,
HYPRE_Int part,
hypre_Box *set_box,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
hypre_Box *value_box,
HYPRE_Complex *values,
HYPRE_Int action )
{
HYPRE_Int ndim = hypre_SStructMatrixNDim(matrix);
HYPRE_IJMatrix ijmatrix = hypre_SStructMatrixIJMatrix(matrix);
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(matrix);
hypre_SStructGrid *grid = hypre_SStructGraphGrid(graph);
hypre_SStructGrid *dom_grid = hypre_SStructGraphDomainGrid(graph);
hypre_SStructStencil *stencil = hypre_SStructGraphStencil(graph, part, var);
HYPRE_Int *vars = hypre_SStructStencilVars(stencil);
hypre_Index *shape = hypre_SStructStencilShape(stencil);
HYPRE_Int size = hypre_SStructStencilSize(stencil);
hypre_IndexRef offset;
hypre_BoxManEntry **boxman_entries;
HYPRE_Int nboxman_entries;
hypre_BoxManEntry **boxman_to_entries;
HYPRE_Int nboxman_to_entries;
HYPRE_Int nrows;
HYPRE_Int *ncols, *row_indexes;;
HYPRE_BigInt *rows, *cols;
HYPRE_Complex *ijvalues;
hypre_Box *box;
hypre_Box *to_box;
hypre_Box *map_box;
hypre_Box *int_box;
hypre_Index index, stride, loop_size;
hypre_IndexRef start;
hypre_Index rs, cs;
HYPRE_BigInt row_base, col_base;
HYPRE_Int ei, entry, ii, jj;
HYPRE_Int matrix_type = hypre_SStructMatrixObjectType(matrix);
box = hypre_BoxCreate(ndim);
/*------------------------------------------
* all stencil entries
*------------------------------------------*/
if (entries[0] < size)
{
to_box = hypre_BoxCreate(ndim);
map_box = hypre_BoxCreate(ndim);
int_box = hypre_BoxCreate(ndim);
nrows = hypre_BoxVolume(set_box);
ncols = hypre_CTAlloc(HYPRE_Int, nrows, HYPRE_MEMORY_DEVICE);
rows = hypre_CTAlloc(HYPRE_BigInt, nrows, HYPRE_MEMORY_DEVICE);
row_indexes = hypre_CTAlloc(HYPRE_Int, nrows, HYPRE_MEMORY_DEVICE);
cols = hypre_CTAlloc(HYPRE_BigInt, nrows*nentries, HYPRE_MEMORY_DEVICE);
ijvalues = hypre_CTAlloc(HYPRE_Complex, nrows*nentries, HYPRE_MEMORY_DEVICE);
hypre_SetIndex(stride, 1);
hypre_SStructGridIntersect(grid, part, var, set_box, -1,
&boxman_entries, &nboxman_entries);
for (ii = 0; ii < nboxman_entries; ii++)
{
hypre_SStructBoxManEntryGetStrides(boxman_entries[ii], rs, matrix_type);
hypre_CopyBox(set_box, box);
hypre_BoxManEntryGetExtents(boxman_entries[ii],
hypre_BoxIMin(map_box), hypre_BoxIMax(map_box));
hypre_IntersectBoxes(box, map_box, int_box);
hypre_CopyBox(int_box, box);
/* For each index in 'box', compute a row of length <= nentries and
* insert it into an nentries-length segment of 'cols' and 'ijvalues'.
* This may result in gaps, but IJSetValues2() is designed for that. */
nrows = hypre_BoxVolume(box);
#undef DEVICE_VAR
#define DEVICE_VAR is_device_ptr(ncols,row_indexes)
hypre_LoopBegin(nrows, i)
{
ncols[i] = 0;
row_indexes[i] = i*nentries;
}
hypre_LoopEnd()
#undef DEVICE_VAR
#define DEVICE_VAR
for (ei = 0; ei < nentries; ei++)
{
entry = entries[ei];
hypre_CopyBox(box, to_box);
offset = shape[entry];
hypre_BoxShiftPos(to_box, offset);
hypre_SStructGridIntersect(dom_grid, part, vars[entry], to_box, -1,
&boxman_to_entries, &nboxman_to_entries);
for (jj = 0; jj < nboxman_to_entries; jj++)
{
hypre_SStructBoxManEntryGetStrides(boxman_to_entries[jj], cs, matrix_type);
hypre_BoxManEntryGetExtents(boxman_to_entries[jj],
hypre_BoxIMin(map_box), hypre_BoxIMax(map_box));
hypre_IntersectBoxes(to_box, map_box, int_box);
hypre_CopyIndex(hypre_BoxIMin(int_box), index);
hypre_SStructBoxManEntryGetGlobalRank(boxman_to_entries[jj],
index, &col_base, matrix_type);
hypre_BoxShiftNeg(int_box, offset);
hypre_CopyIndex(hypre_BoxIMin(int_box), index);
hypre_SStructBoxManEntryGetGlobalRank(boxman_entries[ii],
index, &row_base, matrix_type);
start = hypre_BoxIMin(int_box);
hypre_BoxGetSize(int_box, loop_size);
#if defined(HYPRE_USING_GPU)
hypre_assert(ndim <= 3);
HYPRE_Int rs_0, rs_1, rs_2;
HYPRE_Int cs_0, cs_1, cs_2;
if (ndim > 0)
{
rs_0 = rs[0];
cs_0 = cs[0];
}
if (ndim > 1)
{
rs_1 = rs[1];
cs_1 = cs[1];
}
if (ndim > 2)
{
rs_2 = rs[2];
cs_2 = cs[2];
}
#endif
#undef DEVICE_VAR
#define DEVICE_VAR is_device_ptr(ncols,rows,cols,ijvalues,values)
hypre_BoxLoop2Begin(ndim, loop_size,
box, start, stride, mi,
value_box, start, stride, vi);
{
hypre_Index index;
HYPRE_Int ci;
hypre_BoxLoopGetIndex(index);
ci = mi*nentries + ncols[mi];
rows[mi] = row_base;
cols[ci] = col_base;
#if defined(HYPRE_USING_GPU)
if (ndim > 0)
{
rows[mi] += index[0] * rs_0;
cols[ci] += index[0] * cs_0;
}
if (ndim > 1)
{
rows[mi] += index[1] * rs_1;
cols[ci] += index[1] * cs_1;
}
if (ndim > 2)
{
rows[mi] += index[2] * rs_2;
cols[ci] += index[2] * cs_2;
}
#else
HYPRE_Int d;
for (d = 0; d < ndim; d++)
{
rows[mi] += index[d]*rs[d];
cols[ci] += index[d]*cs[d];
}
#endif
ijvalues[ci] = values[ei + vi*nentries];
ncols[mi]++;
}
hypre_BoxLoop2End(mi, vi);
#undef DEVICE_VAR
#define DEVICE_VAR
} /* end loop through boxman to entries */
hypre_TFree(boxman_to_entries, HYPRE_MEMORY_HOST);
} /* end of ei nentries loop */
if (action > 0)
{
HYPRE_IJMatrixAddToValues2(ijmatrix, nrows, ncols,
(const HYPRE_BigInt *) rows,
(const HYPRE_Int *) row_indexes,
(const HYPRE_BigInt *) cols,
(const HYPRE_Complex *) ijvalues);
}
else if (action > -1)
{
HYPRE_IJMatrixSetValues2(ijmatrix, nrows, ncols,
(const HYPRE_BigInt *) rows,
(const HYPRE_Int *) row_indexes,
(const HYPRE_BigInt *) cols,
(const HYPRE_Complex *) ijvalues);
}
else
{
HYPRE_IJMatrixGetValues(ijmatrix, nrows, ncols, rows, cols, values);
}
} /* end loop through boxman entries */
hypre_TFree(boxman_entries, HYPRE_MEMORY_HOST);
hypre_TFree(ncols, HYPRE_MEMORY_DEVICE);
hypre_TFree(rows, HYPRE_MEMORY_DEVICE);
hypre_TFree(row_indexes, HYPRE_MEMORY_DEVICE);
hypre_TFree(cols, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijvalues, HYPRE_MEMORY_DEVICE);
hypre_BoxDestroy(to_box);
hypre_BoxDestroy(map_box);
hypre_BoxDestroy(int_box);
}
/*------------------------------------------
* non-stencil entries
*------------------------------------------*/
else
{
/* RDF: THREAD (Check safety on UMatrixSetValues call) */
hypre_BoxGetSize(set_box, loop_size);
hypre_SerialBoxLoop0Begin(ndim, loop_size);
{
zypre_BoxLoopGetIndex(index);
hypre_AddIndexes(index, hypre_BoxIMin(set_box), ndim, index);
hypre_SStructUMatrixSetValues(matrix, part, index, var,
nentries, entries, values, action);
values += nentries;
}
hypre_SerialBoxLoop0End();
}
hypre_BoxDestroy(box);
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructUMatrixAssemble( hypre_SStructMatrix *matrix )
{
HYPRE_IJMatrix ijmatrix = hypre_SStructMatrixIJMatrix(matrix);
HYPRE_IJMatrixAssemble(ijmatrix);
HYPRE_IJMatrixGetObject(
ijmatrix, (void **) &hypre_SStructMatrixParCSRMatrix(matrix));
return hypre_error_flag;
}
/*==========================================================================
* SStructMatrix routines
*==========================================================================*/
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructMatrixRef( hypre_SStructMatrix *matrix,
hypre_SStructMatrix **matrix_ref )
{
hypre_SStructMatrixRefCount(matrix) ++;
*matrix_ref = matrix;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructMatrixSplitEntries( hypre_SStructMatrix *matrix,
HYPRE_Int part,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
HYPRE_Int *nSentries_ptr,
HYPRE_Int **Sentries_ptr,
HYPRE_Int *nUentries_ptr,
HYPRE_Int **Uentries_ptr )
{
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(matrix);
HYPRE_Int *split = hypre_SStructMatrixSplit(matrix, part, var);
hypre_SStructStencil *stencil = hypre_SStructGraphStencil(graph, part, var);
HYPRE_Int entry;
HYPRE_Int i;
HYPRE_Int nSentries = 0;
HYPRE_Int *Sentries = hypre_SStructMatrixSEntries(matrix);
HYPRE_Int nUentries = 0;
HYPRE_Int *Uentries = hypre_SStructMatrixUEntries(matrix);
for (i = 0; i < nentries; i++)
{
entry = entries[i];
if (entry < hypre_SStructStencilSize(stencil))
{
/* stencil entries */
if (split[entry] > -1)
{
Sentries[nSentries] = split[entry];
nSentries++;
}
else
{
Uentries[nUentries] = entry;
nUentries++;
}
}
else
{
/* non-stencil entries */
Uentries[nUentries] = entry;
nUentries++;
}
}
*nSentries_ptr = nSentries;
*Sentries_ptr = Sentries;
*nUentries_ptr = nUentries;
*Uentries_ptr = Uentries;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* (action > 0): add-to values
* (action = 0): set values
* (action < 0): get values
* (action =-2): get values and zero out
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructMatrixSetValues( HYPRE_SStructMatrix matrix,
HYPRE_Int part,
HYPRE_Int *index,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
HYPRE_Complex *values,
HYPRE_Int action )
{
HYPRE_Int ndim = hypre_SStructMatrixNDim(matrix);
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(matrix);
hypre_SStructGrid *grid = hypre_SStructGraphGrid(graph);
HYPRE_Int **nvneighbors = hypre_SStructGridNVNeighbors(grid);
HYPRE_Int *Sentries;
HYPRE_Int *Uentries;
HYPRE_Int nSentries;
HYPRE_Int nUentries;
hypre_SStructPMatrix *pmatrix;
hypre_Index cindex;
hypre_SStructMatrixSplitEntries(matrix, part, var, nentries, entries,
&nSentries, &Sentries,
&nUentries, &Uentries);
hypre_CopyToCleanIndex(index, ndim, cindex);
/* S-matrix */
if (nSentries > 0)
{
pmatrix = hypre_SStructMatrixPMatrix(matrix, part);
hypre_SStructPMatrixSetValues(pmatrix, cindex, var,
nSentries, Sentries, values, action);
/* put inter-part couplings in UMatrix and zero them out in PMatrix
* (possibly in ghost zones) */
if (nvneighbors[part][var] > 0)
{
hypre_Box *set_box;
HYPRE_Int d;
/* This creates boxes with zeroed-out extents */
set_box = hypre_BoxCreate(ndim);
for (d = 0; d < ndim; d++)
{
hypre_BoxIMinD(set_box, d) = cindex[d];
hypre_BoxIMaxD(set_box, d) = cindex[d];
}
hypre_SStructMatrixSetInterPartValues(matrix, part, set_box, var, nSentries, entries,
set_box, values, action);
hypre_BoxDestroy(set_box);
}
}
/* U-matrix */
if (nUentries > 0)
{
hypre_SStructUMatrixSetValues(matrix, part, cindex, var,
nUentries, Uentries, values, action);
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* (action > 0): add-to values
* (action = 0): set values
* (action < 0): get values
* (action =-2): get values and zero out
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructMatrixSetBoxValues( HYPRE_SStructMatrix matrix,
HYPRE_Int part,
hypre_Box *set_box,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
hypre_Box *value_box,
HYPRE_Complex *values,
HYPRE_Int action )
{
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(matrix);
hypre_SStructGrid *grid = hypre_SStructGraphGrid(graph);
HYPRE_Int **nvneighbors = hypre_SStructGridNVNeighbors(grid);
HYPRE_Int *Sentries;
HYPRE_Int *Uentries;
HYPRE_Int nSentries;
HYPRE_Int nUentries;
hypre_SStructPMatrix *pmatrix;
hypre_SStructMatrixSplitEntries(matrix, part, var, nentries, entries,
&nSentries, &Sentries,
&nUentries, &Uentries);
/* S-matrix */
if (nSentries > 0)
{
pmatrix = hypre_SStructMatrixPMatrix(matrix, part);
hypre_SStructPMatrixSetBoxValues(pmatrix, set_box, var, nSentries, Sentries,
value_box, values, action);
/* put inter-part couplings in UMatrix and zero them out in PMatrix
* (possibly in ghost zones) */
if (nvneighbors[part][var] > 0)
{
hypre_SStructMatrixSetInterPartValues(matrix, part, set_box, var, nSentries, entries,
value_box, values, action);
}
}
/* U-matrix */
if (nUentries > 0)
{
hypre_SStructUMatrixSetBoxValues(matrix, part, set_box, var, nUentries, Uentries,
value_box, values, action);
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* Put inter-part couplings in UMatrix and zero them out in PMatrix (possibly in
* ghost zones). Assumes that all entries are stencil entries.
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SStructMatrixSetInterPartValues( HYPRE_SStructMatrix matrix,
HYPRE_Int part,
hypre_Box *set_box,
HYPRE_Int var,
HYPRE_Int nentries,
HYPRE_Int *entries,
hypre_Box *value_box,
HYPRE_Complex *values,
HYPRE_Int action )
{
HYPRE_Int ndim = hypre_SStructMatrixNDim(matrix);
hypre_SStructGraph *graph = hypre_SStructMatrixGraph(matrix);
hypre_SStructGrid *grid = hypre_SStructGraphGrid(graph);
hypre_SStructPMatrix *pmatrix;
hypre_SStructPGrid *pgrid;
hypre_SStructStencil *stencil;
hypre_Index *shape;
HYPRE_Int *smap;
HYPRE_Int *vars, frvartype, tovartype;
hypre_StructMatrix *smatrix;
hypre_Box *box, *ibox0, *ibox1, *tobox, *frbox;
hypre_Index stride, loop_size;
hypre_IndexRef offset, start;
hypre_BoxManEntry **frentries, **toentries;
hypre_SStructBoxManInfo *frinfo, *toinfo;
HYPRE_Complex *tvalues = NULL;
HYPRE_Int tvalues_size = 0;
HYPRE_Int nfrentries, ntoentries, frpart, topart;
HYPRE_Int entry, sentry, ei, fri, toi;
pmatrix = hypre_SStructMatrixPMatrix(matrix, part);
pgrid = hypre_SStructPMatrixPGrid(pmatrix);
frvartype = hypre_SStructPGridVarType(pgrid, var);
box = hypre_BoxCreate(ndim);
ibox0 = hypre_BoxCreate(ndim);
ibox1 = hypre_BoxCreate(ndim);
tobox = hypre_BoxCreate(ndim);
frbox = hypre_BoxCreate(ndim);
stencil = hypre_SStructPMatrixStencil(pmatrix, var);
smap = hypre_SStructPMatrixSMap(pmatrix, var);
shape = hypre_SStructStencilShape(stencil);
vars = hypre_SStructStencilVars(stencil);
hypre_SetIndex(stride, 1);
for (ei = 0; ei < nentries; ei++)
{
entry = entries[ei];
sentry = smap[entry];
offset = shape[entry];
smatrix = hypre_SStructPMatrixSMatrix(pmatrix, var, vars[entry]);
tovartype = hypre_SStructPGridVarType(pgrid, vars[entry]);
/* shift box in the stencil offset direction */
hypre_CopyBox(set_box, box);
hypre_AddIndexes(hypre_BoxIMin(box), offset, ndim, hypre_BoxIMin(box));
hypre_AddIndexes(hypre_BoxIMax(box), offset, ndim, hypre_BoxIMax(box));
/* get "to" entries */
hypre_SStructGridIntersect(grid, part, vars[entry], box, -1,
&toentries, &ntoentries);
for (toi = 0; toi < ntoentries; toi++)
{
hypre_BoxManEntryGetExtents(
toentries[toi], hypre_BoxIMin(tobox), hypre_BoxIMax(tobox));
hypre_IntersectBoxes(box, tobox, ibox0);
if (hypre_BoxVolume(ibox0))
{
hypre_SStructBoxManEntryGetPart(toentries[toi], part, &topart);
/* shift ibox0 back */
hypre_SubtractIndexes(hypre_BoxIMin(ibox0), offset, ndim,
hypre_BoxIMin(ibox0));
hypre_SubtractIndexes(hypre_BoxIMax(ibox0), offset, ndim,
hypre_BoxIMax(ibox0));
/* get "from" entries */
hypre_SStructGridIntersect(grid, part, var, ibox0, -1,
&frentries, &nfrentries);
for (fri = 0; fri < nfrentries; fri++)
{
/* don't set couplings within the same part unless possibly for
* cell data (to simplify periodic conditions for users) */
hypre_SStructBoxManEntryGetPart(frentries[fri], part, &frpart);
if (topart == frpart)
{
if ( (frvartype != HYPRE_SSTRUCT_VARIABLE_CELL) ||
(tovartype != HYPRE_SSTRUCT_VARIABLE_CELL) )
{
continue;
}
hypre_BoxManEntryGetInfo(frentries[fri], (void **) &frinfo);
hypre_BoxManEntryGetInfo(toentries[toi], (void **) &toinfo);
if ( hypre_SStructBoxManInfoType(frinfo) ==
hypre_SStructBoxManInfoType(toinfo) )
{
continue;
}
}
hypre_BoxManEntryGetExtents(
frentries[fri], hypre_BoxIMin(frbox), hypre_BoxIMax(frbox));
hypre_IntersectBoxes(ibox0, frbox, ibox1);
if (hypre_BoxVolume(ibox1))
{
HYPRE_Int tvalues_new_size = hypre_BoxVolume(ibox1);
tvalues = hypre_TReAlloc_v2(tvalues, HYPRE_Complex, tvalues_size, HYPRE_Complex, tvalues_new_size, HYPRE_MEMORY_DEVICE);
tvalues_size = tvalues_new_size;
if (action >= 0)
{
/* set or add */
/* copy values into tvalues */
start = hypre_BoxIMin(ibox1);
hypre_BoxGetSize(ibox1, loop_size);
#undef DEVICE_VAR
#define DEVICE_VAR is_device_ptr(tvalues,values)
hypre_BoxLoop2Begin(ndim, loop_size,
ibox1, start, stride, mi,
value_box, start, stride, vi);
{
tvalues[mi] = values[ei + vi*nentries];
}
hypre_BoxLoop2End(mi, vi);
#undef DEVICE_VAR
#define DEVICE_VAR
/* put values into UMatrix */
hypre_SStructUMatrixSetBoxValues(
matrix, part, ibox1, var, 1, &entry, ibox1, tvalues, action);
/* zero out values in PMatrix (possibly in ghost) */
hypre_StructMatrixClearBoxValues(
smatrix, ibox1, 1, &sentry, -1, 1);
}
else
{
/* get */
/* get values from UMatrix */
hypre_SStructUMatrixSetBoxValues(
matrix, part, ibox1, var, 1, &entry, ibox1, tvalues, action);
/* copy tvalues into values */
start = hypre_BoxIMin(ibox1);
hypre_BoxGetSize(ibox1, loop_size);
#undef DEVICE_VAR
#define DEVICE_VAR is_device_ptr(tvalues,values)
hypre_BoxLoop2Begin(ndim, loop_size,
ibox1, start, stride, mi,
value_box, start, stride, vi);
{
values[ei + vi*nentries] = tvalues[mi];
}
hypre_BoxLoop2End(mi, vi);
#undef DEVICE_VAR
#define DEVICE_VAR
} /* end if action */
} /* end if nonzero ibox1 */
} /* end of "from" boxman entries loop */
hypre_TFree(frentries, HYPRE_MEMORY_HOST);
} /* end if nonzero ibox0 */
} /* end of "to" boxman entries loop */
hypre_TFree(toentries, HYPRE_MEMORY_HOST);
} /* end of entries loop */
hypre_BoxDestroy(box);
hypre_BoxDestroy(ibox0);
hypre_BoxDestroy(ibox1);
hypre_BoxDestroy(tobox);
hypre_BoxDestroy(frbox);
hypre_TFree(tvalues, HYPRE_MEMORY_DEVICE);
return hypre_error_flag;
}
|
shape.h | /*
* shape.h
*
* Created on: Dec 28, 2015
* Author: agibsonccc
*/
#ifndef SHAPE_H_
#define SHAPE_H_
#include <cstring>
#include <cstdio>
#include "../dll.h"
#include "../nd4jmalloc.h"
#include "../templatemath.h"
#include "../helpers/logger.h"
#include "../pointercast.h"
#include "../cnpy/cnpy.h"
#include <op_boilerplate.h>
#define MAX_DIMENSION 0x7fffffff
#define MAX_NUM_THREADS 1024
#define MAX_RANK 32
#define MAX_COORD 3
#define PREALLOC_SIZE 33554432
#ifdef __CUDACC__
#include <cuda.h>
#include <cuda_runtime.h>
#include <helpers/sharedmem.h>
#endif
#ifdef __CUDACC__
#define INLINEDEF inline
#else
#define INLINEDEF inline
#endif
#include "../pairwise_util.h"
namespace shape {
/**
* Shape information approximating
* the information on an ndarray
*/
struct ND4J_EXPORT ShapeInformation {
#ifdef __CUDACC__
__host__ __device__
#endif
ShapeInformation(int *shape_ = nullptr, int *stride_ = nullptr, char order_ = 0, int rank_ = 0, int offset_ = 0, int elementWiseStride_ = 0)
: shape(shape_), stride(stride_), order(order_), rank(rank_), offset(offset_), elementWiseStride(elementWiseStride_)
{}
int *shape;
int *stride;
char order;
int rank;
int offset;
int elementWiseStride;
};
/**
* Indexing information
* for bounds checking
*/
struct ND4J_EXPORT CurrentIndexing {
int numElementsPerThread;
int blockStartingIndex;
int startingThreadIndex;
int endingThreadIndex;
};
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool shapeEquals(int shape1Rank,int *shape1,int shape2Rank,int *shape2);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool shapeEquals(int *shapeInfo1,int *shapeInfo2);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool strideEquals(int shape1Rank,int *shape1,int shape2Rank,int *shape2);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool strideEquals(int *shapeInfo1,int *shapeInfo2);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool strideEquals(int *stride1,int rank1,int *stride2,int rank2);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool equalsSoft(int *shapeA, int *shapeB);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool equalsStrict(int *shapeA, int *shapeB);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int sizeAt(int *shape, int dim);
template <typename T>
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void fill(T* buffer, T value, Nd4jIndex length);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void traceNew(int id);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tadIndexForLinear(int linearIndex, int tadLength);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tadLength(int *shapeInfo, int *dimension, int dimensionLength);
#ifdef __CUDACC__
__host__
#endif
ND4J_EXPORT bool canReshape(const int oldRank, int* oldShape, const int newRank, int* newShape, bool isFOrder);
#ifdef __CUDACC__
__host__
#endif
ND4J_EXPORT bool reshapeCF(const int oldRank, int* oldShape, const int newRank, int* newShape, bool isFOrder, int* target);
/**
* Get the shape info buffer
* for the given rank and shape.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeBuffer(int rank, int *shape);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeBuffer(int rank, int *shape, int *buffer);
/**
* Get the shape info buffer
* for the given rank and shape.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeBufferFortran(int rank, int *shape);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeBufferFortran(int rank, int *shape, int *output);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void doPermuteShapeBuffer(int *shapeBuffer,int *rearrange, int *tmpBuffer);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void doPermuteShapeBuffer(int rank,int *shapeBuffer,int *rearrange, int *tmpBuffer);
#ifdef __CUDACC__
template <typename T>
__device__ ND4J_EXPORT int *cuMalloc(int *buffer, long size, UnifiedSharedMemory *manager);
__device__ ND4J_EXPORT int *cuMalloc(int *buffer, long size);
#endif
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int * calcStridesFortran(int *shape, int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int * calcStridesFortran(int *shape, int rank, int* ret);
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* calcStrides(int *shape, int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* calcStrides(int *shape, int rank, int* ret);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void updateStrides(int *shape, const char order);
// check whether input dimensions are permuted, not permuted dimensions order have to be 0,....,rank-1
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool isDimPermuted(const int* dimensions, const int dimSize);
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* calcStridesFortran(int *shape, int rank, int startNum);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* calcStridesFortran(int *shape, int rank, int startNum, int* ret);
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* calcStrides(int *shape, int rank, int startNum);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* calcStrides(int *shape, int rank, int startNum, int* ret);
/**
* @param toCopy the shape to copy
* @return a copy of the original struct
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT ShapeInformation *shapeCopy( ShapeInformation *toCopy);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool strideDescendingCAscendingF(int *shapeBuffer);
/**
* Compute the element wise stride
* for a given shape/stride configuration
* @param rank the rank of the shape/stride
* @param shape the shape
* @param stride the stride
* @param isFOrder 0 or 1 for whether the array is f
* ordered or not
* @return -1 if there is no element wise stride the
* element wise stride of reshape(1,length) otherwise
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int computeElementWiseStride(int rank, int *shape, int *stride, int isFOrder);
/**
* Compute the element wise stride
* for a given shape/stride configuration
* @param rank the rank of the shape/stride
* @param shape the shape
* @param stride the stride
* @param isFOrder 0 or 1 for whether the array is f
* ordered or not
* @return -1 if there is no element wise stride the
* element wise stride of reshape(1,length) otherwise
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int computeElementWiseStride(int rank, int *shape, int *stride, int isFOrder,
int *dimension, int dimensionLength);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeInfoOnlyShapeAndStride(int *shapeInfo, int *dimension, int dimensionLength,bool reverseCopyStride);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeInfoOnlyShapeAndStride(int *shapeInfo, int *dimension, int dimensionLength,bool reverseCopyStride, int *buffer);
/**
*
* @param length
* @param shape
* @param rearrange
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *doPermuteSwap(int length, int *shape, int *rearrange);
/**
* In place permute swap
* @param length
* @param shape
* @param rearrange
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void doPermuteSwap(int length, int **shape, int *rearrange);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *permuteShapeBuffer(int *shapeBuffer,int *rearrange);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void permuteShapeBufferInPlace(int *shapeBuffer,int *rearrange,int *out);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void doPermuteShapeBuffer(int *shapeBuffer,int *rearrange);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void doPermuteShapeBuffer(int rank,int *shapeBuffer,int *rearrange);
/**
* Rearrange the permute indexes
* according to which dimensions are specified.
*
* For example, dimension is implicitly:
* 0,1,2
*
* If you want to do a reduce along dimensions 0 and 1,
* you need to permute the indexes to be:
* 2,0,1
*
* which will give us the ability to ierate along an element
* wise stride.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *createPermuteIndexes(int originalRank,int *dimension,int dimensionLength);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *computeResultShape(int *originalShapeBuffer,int *dimension,int dimensionLength);
/**
* This method does inplace transpose of given shapeBuffer
*
* @param shapeBuffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void transposeInplace(int *shapeBuffer);
/**
* Get the ordering for the device
* @param length
* @param shape
* @param stride
* @param elementStride
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT char getOrder(int length, int *shape, int *stride, int elementStride);
/**
* Ensure that every value in the re arrange
* array is unique
* @param arr
* @param shape
* @param arrLength
* @param shapeLength
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int checkArrangeArray(int *arr, int arrLength, int shapeLength);
/**
* Permute the shape information
* @param info the shape information to permute
* @param rearrange the order to re arrange
* @param rank the rank of the rearrange array
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void permute(ShapeInformation **info, int *rearrange, int rank);
/**
* Returns whether the
* given shape is a vector or not
* @param shape the shape of the array
* @param rank the rank of cthe shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int isVector(int *shape, int rank);
/**
* When 1 dimension is the whole length of the
* array
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int oneDimEqualToLength(int *shape, int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int oneDimEqualToLength(int *shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int isVector(int *shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool isLikeVector(int *shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool isRowVector(int *shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT bool isColumnVector(int *shapeInfo);
/**
* Returns whether the
* given shape is a vector or not
* @param shape the shape of the array
* @param rank the rank of the shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int isMatrix(int *shape, int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int isMatrix(int *shapeInfo);
/**
* Returns the shape portion of an information
* buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeOf(int *buffer);
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *copyOf(int length, int *toCopy);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *copyOf(int length, int *toCopy, int *ret);
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void copyTo(int length, int *from, int *to);
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void copyTo(int length, int *from, int *to, int *indexes);
/**
* Permute the given strides
* in the given rearrange order
* @param toPermute the buffer to permute
* @param shapeRank the length of the buffer to permute
* @param rearrange the rearrange order (must be 0 based indexes
* and all must be filled in)
* @return the rearranged array
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *permutedStrides(int *toPermute, int shapeRank, int *rearrange);
/**
* Return the slice (shape + 1 in pointer arithmetic)
* @param shape the shape to take the slice of
* @return the shape array - the first entry
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *slice(int *shape);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int slices(int *shapeBuffer);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *sliceOfShapeBuffer(int sliceIdx,int *shapeBuffer);
/**
* Returns the length of the
* shape information buffer:
* rank * 2 + 3
* @param rank the rank to get the shape
* info length for
* @return rank * 2 + 4
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int shapeInfoLength(int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int shapeInfoLength(int* shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT size_t shapeInfoByteLength(int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT size_t shapeInfoByteLength(int* shapeInfo);
/**
* Returns the rank portion of
* an information buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int rank( int *buffer);
/**
* Converts a raw int buffer of the layout:
* rank
* shape
* stride
* offset
* elementWiseStride
*
* where shape and stride are both straight int pointers
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT ShapeInformation *infoFromBuffer(int *buffer);
/**
* Returns the stride portion of an information
* buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *stride(int *buffer);
/**
* Compute the length of the given shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT Nd4jIndex length(int *shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT Nd4jIndex length(std::initializer_list<int>& shape);
/***
* Returns the offset portion of an information buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int offset(int *buffer);
/**
* Returns the ordering
* for this shape information buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT char order(int *buffer);
/**
* Returns the element wise stride for this information
* buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int elementWiseStride(int *buffer);
/**
* Returns the element wise stride for this information
* buffer
* relative to a dimension and ordering for a reduction index
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int reductionIndexElementWiseStride(int *buffer, int *dimension, int dimensionLength);
/**
* Returns whether
* the given shape info buffer
* represents a scalar shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int isScalar(int *info);
/**
* Returns whether
* the given shape information
* represents a scalar
* shape or not
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int isScalar(volatile ShapeInformation *info);
/**
* Return a copy of this array with the
* given index omitted
*
* @param data the data to copy
* @param indexes the index of the item to remove
* @param dataLength the length of the data array
* @param indexesLength the length of the data array
* @return the new array with the omitted
*
* item
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void removeIndex(int *data, int *indexes, int dataLength, int indexesLength,
int *out);
/**
* Return a copy of this array with the
* given index omitted
*
* @param data the data to copy
* @param indexes the index of the item to remove
* @param dataLength the length of the data array
* @param indexesLength the length of the data array
* @return the new array with the omitted
*
* item
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int * removeIndex(int *data, int *indexes, int dataLength, int indexesLength);
/**
* Iterate over a given set of indexes
* the begin and end indexes are 0 based.
* 1 padding is automatically assumed for the ending.
*
* For example if you want to iterate over 0 to 4
* it will go to 4 rather than 3.
*
* indexes should be the indexes to exclude
* indexes length should be the length of indexes
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* everyIndexBut(int *indexes,int indexesLength,int begin,int end);
/**
* Computes the offset for accessing
* a global element given the shape information
* and the offset to be read.
*/
//#ifdef __CUDACC__
// __device__
//#endif
// ND4J_EXPORT int tadOffset(shape::ShapeInformation *xInfo, int offset);
/**
* Returns a shape
* forces the given length to be 2.
* @param shape the shape to modify
* @param dimension the dimension (row or column)
* for the shape to be returned as
* @return the new shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* ensureVectorShape(int *shape);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* createScalarShapeInfo();
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* createScalarShapeInfo(int *ret);
/**
* Generate an int buffer
* up to the given length
* at the specified increment
*
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *range(int from, int to, int increment);
/**
* Range between from and two with an
* increment of 1
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *range(int from, int to);
/**
* Keep the given indexes
* in the data
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *keep(volatile int *data, int *index, int indexLength, int dataLength);
/**
* Generate reverse copy of the data
* @param data
* @param length
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *reverseCopy(int *data, int length);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void reverseCopyTo(int *from, int *to, int length);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void reverseCopyTo(int *from, int *to, int *indexes,int length);
/**
*
* @param arr1
* @param arr1Length
* @param arr2
* @param arr2Length
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *concat(int *arr1, int arr1Length, int *arr2, int arr2Length);
/**
*
* @param numArrays
* @param numTotalElements
* @param arr
* @param lengths
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *concat(int numArrays, int numTotalElements, int **arr, int *lengths);
/**
* Get the length per slice of the
* given shape and the dimension
* @param rank the rank of the shape
* @param shape the shape of to get
* the length per slice for
* @param dimension the dimension to
* get the length per slice for
* @param dimensionLength the length of the dimension array
* @return the length per slice of the given shape
* along the given dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int lengthPerSlice(int rank, int *shape, int *dimension, int dimensionLength);
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int sliceOffsetForTensor(int rank,
int index,
int *shape,
int *tensorShape,
int tensorShapeLength,
int *dimension,
int dimensionLength);
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int sliceOffsetForTensor(int index,int tensorLength,int lengthPerSlice2);
/**
* Computes the tensor along dimension
* offset
* @param index the index to get the offset for the tad for
* @param rank the rank of the shapes and strides
* @param info the shape information to use for tad
* @param dimension the dimensions to use for computing the tensor along dimensions
*/
//#ifdef __CUDACC__
// __host__ __device__
//#endif
//
// ND4J_EXPORT int offset(int index,
// int rank,
// shape::ShapeInformation *info,
// int *dimension,
// int dimensionLength);
/**
* Computes the number
* of tensors along
* a given dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tensorsAlongDimension(int rank,
volatile int length,
volatile int *shape,
int *dimension,
int dimensionLength);
/**
* Computes the number
* of tensors along
* a given dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tensorsAlongDimension(int *shapeInfo, int *dimension, int dimensionLength);
/**
* Returns the tensor along dimension
* for the given block index
* @param blockSize
* @param blockIdx
* @param i
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tadForBlockIndex(int blockSize, int blockIdx, int i);
/**
* Computes the number of tads per block
*
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tadsPerBlock(int blockSize, int tads);
//#ifdef __CUDACC__
// __host__ __device__
//#endif
//
// ND4J_EXPORT int *tadShapeInfo(int index, int *xShapeInfo, int *dimension,
// int dimensionLength);
/**
* Returns a shape buffer
* for the shape information metadata.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *toShapeBuffer( ShapeInformation *info);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *toShapeBuffer( ShapeInformation *info, int* ret);
/**
* Returns the number of elements per thread
*/
//#ifdef __CUDACC__
// __device__
//#endif
// int numElementsPerThread(int N);
/**
* Returns the block starting index
*/
//#ifdef __CUDACC__
// __device__
//#endif
// int blockStartingIndex(int N);
/**
* Returns the thread starting index
*/
//#ifdef __CUDACC__
// __device__
//#endif
// int threadStartingIndex(int N, int stride, int offset);
/**
* Returns the thread ending index
*/
//#ifdef __CUDACC__
// __device__
//#endif
// int threadEndingIndex(int N, int stride, int offset);
/**
* Returns indexing information
* for the current kernel invocation
*/
//#ifdef __CUDACC__
// __device__
//#endif
// CurrentIndexing *currentIndex(int N, int offset, int stride);
/** Given an linear index, element wise stride
* and the length of each tad
* map a linear index to a tad
* @param i the index to map
* @param the element wise stride for the tads
* @param numElementsPerTad the number of elements
* per tad
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tadIndex(int i, int elementWiseStride, int numElementsPerTad);
/**
* Map a tad to a
* reduction index.
* @param tadIndexForOriginal the original tad index for the
* split up problem (eg: split is dimension 3 mapping to a 2,3 problem)
* @param tadsForReduced the number of tads for the shrunk down problem (eg: 2,3)
* @param tadsForOriginal the number of tads for the smaller problem (eg: 3)
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int reductionIndexForTad(int tadIndexForOriginal, int tadsForReduced,
int tadsForOriginal);
/**
* Computes the number of tads
* per reduce index for the
* reduction tad.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int tadsPerReduceIndex(int tadsForReduce, int tadsForOriginal);
/**
* Maps a linear index to a reduction index
* @param i the linear index to map
* @param elementWiseStride the element wise stride
* for the multiple problem
* @param tadNum the number of tads for the shrunken problem
* @param originalTadNum the tad number for the reduced version of the problem
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int reductionIndexForLinear(int i, int elementWiseStride, int numElementsPerTad,
int tadNum, int originalTadNum);
/**
* Returns the prod of the data
* up to the given length
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int prod(int *data, int length);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT Nd4jIndex prodLong( int *data, int length);
/**
* Returns the rear most left over item not present in
* the dimension array. This assumes that the dimension array is sorted.
*
* For example, given a dimension array of:
* 0,2
*
* and
*
* 12,4,2,1 in data
*
* You end up with 1 (data[3])
* since the first item won't match
* the last item of the dimension array
*/
//#ifdef __CUDACC__
// __host__ __device__
//#endif
// int rearMostLeftOverItem(int *data,int length,int *dimension,int dimensionLength);
/**
* Get an offset for retrieval
* from a data buffer
* based on the given
* shape stride and given indices
* @param baseOffset the offset to start from
* @param shape the shape of the array
* @param stride the stride of the array
* @param indices the indices to iterate over
* @return the double at the specified index
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT Nd4jIndex getOffset(Nd4jIndex baseOffset, int *shape, int *stride, int *indices,int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* createShapeInfo(int *shape, int *stride, int rank);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* createShapeInfo(int *shape, int *stride, int rank, int *buffer);
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* ind2sub(int rank, int *shape,int index,int numIndices);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *ind2sub(int rank, int *shape,int index);
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void ind2sub(int rank,int *shape,int index,int numIndices,int *out);
/**
* Convert a linear index to
* the equivalent nd index.
* Infers the number of indices from the specified shape.
*
* @param shape the shape of the dimensions
* @param index the index to map
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void ind2sub(int rank, int *shape, int index, int *out);
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* ind2subC(int rank, int *shape, int index);
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int* ind2subC(int rank, int *shape, int index, int numIndices);
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void ind2subC(int rank, int *shape, int index, int numIndices, int *out);
/**
* Convert a linear index to
* the equivalent nd index.
* Infers the number of indices from the specified shape.
*
* @param shape the shape of the dimensions
* @param index the index to map
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void ind2subC(int rank, int *shape, int index, int *out);
/**
* Convert the given index (such as 1,1)
* to a linear index
* @param shape the shape of the indexes to convert
* @param indices the index to convert
* @return the linear index given the shape
* and indices
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int sub2Ind(int rank, int *shape, int *indices);
/**
* Compute the real linear indices for the given shape and stride
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT Nd4jIndex *computeIndices(int rank, int *shape, int *stride);
/**
* Compute the real linear indices for the
* given shape buffer. Shape,stride and rank are derived
* from the buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT Nd4jIndex *computeIndices( int *shapeBuffer);
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void ind2subOrder(int *shapeInfo,int index,int numIndices,int *out);
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void ind2subOrder(int *shapeInfo,int index,int *out);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void printShapeInfo(int *shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void printShapeInfoLinear(int *shapeInfo);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void printIntArray(int *arr,int length);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT void printArray(float *arr,int length);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeBufferOfNpy(int rank, unsigned int *shape,bool fortranOrder);
#ifdef __CUDACC__
__host__ __device__
#endif
ND4J_EXPORT int *shapeBufferOfNpy(cnpy::NpyArray arr);
//#ifdef __CUDACC__
// __host__ __device__
//#endif
// ND4J_EXPORT int *shapeBufferOfNpyBuffer(char *buffer);
#ifdef __CUDACC__
__host__
#endif
// this function checks the consistence of dimensions with array rank (negative dimensions, too large dimensions, too big number of dimensions)
// also sort input array of dimensions, this operation is also necessary for creating TAD object
ND4J_EXPORT void checkDimensions(const int rank, std::vector<int>& dimensions);
#ifdef __CUDACC__
__host__
#endif
// return absolute index of array min, min is sub-array of max, index to be returned is min index and corresponds to maxIdx of max array
ND4J_EXPORT Nd4jIndex subArrayIndex(const int* maxShapeInfo, const int* minShapeInfo, const int maxIdx);
//END HEADERS
//BEGIN IMPLEMENTATIONS
#ifdef __CUDACC__
template <typename T>
__device__ INLINEDEF int *cuMalloc(int *buffer, long size, UnifiedSharedMemory *manager) {
// if we go for 3 dimensions coord space or below - just use shared memory for that
if (size <= MAX_COORD * 4) {
int *ptr = new int[size / 4];//manager->getSharedCoordBuffer() + (threadIdx.x * MAX_COORD);
return ptr;
} else {
// otherwise go to preallocated global memory :(
int tid = blockIdx.x * blockDim.x + threadIdx.x;
if (tid * size > PREALLOC_SIZE - size) {
return (int *) malloc(size);
} else {
int *ret = buffer;
ret += (tid * size);
return ret;
}
}
}
#endif
#ifdef __CUDACC__
/**
* BEWARE: THIS METHOD DOES NOT CHECKS ALLOCATION BOUNDARIES
*/
__device__ INLINEDEF int *cuMalloc(int *buffer, long size) {
int *ret = buffer;
ret += (threadIdx.x * size);
return ret;
}
#endif
/**
* Length of a tad given
* the shape information
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tadLength(int *shapeInfo, int *dimension, int dimensionLength) {
if(dimensionLength == 1) {
return shape::shapeOf(shapeInfo)[dimension[0]];
}
else {
int ret = 1;
for(int i = 0; i < shape::rank(shapeInfo); i++) {
for(int j = 0; j < dimensionLength; j++) {
if(i == dimension[j])
ret *= shape::shapeOf(shapeInfo)[dimension[j]];
}
}
return ret;
}
}
/**
* Tad element wise stride:
* given the inner most dimension (the sorted dimension of the last)
* the element wise stride of the tad (disregarding order) is the
* last dimension's stride.
*
* For a given singular dimension this will just be the only entry.
* For example, given the following c order shape/stride:
* 2,2,3,2
* 12,6,2,1
*
* The tad element wise stride for 3 will be 1.
* For zero it wil be 12
*
* For 2,3 it's 1
*
* Note here that the multi dimensional 2,3 case
* is equivalent to the singular 3 case.
*
*
* Note that this is for the dimension that ultimately
* ends up removed.
*
* Again: this may not preserve ordering of the tad
* but maybe used for reductions.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tadElementWiseStride(int *shapeInfo,int *dimension,int dimensionLength) {
return reductionIndexElementWiseStride(shapeInfo,dimension,dimensionLength);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool shapeEquals(int shape1Rank,int *shape1,int shape2Rank,int *shape2) {
if(shape1Rank != shape2Rank)
return false;
//rank not equals
for(int i = 0; i < shape1Rank; i++) {
if(shape1[i] != shape2[i])
return false;
}
return true;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool shapeEquals(int *shapeInfo1,int *shapeInfo2) {
return shape::shapeEquals(shape::rank(shapeInfo1),shape::shapeOf(shapeInfo1),shape::rank(shapeInfo2),shape::shapeOf(shapeInfo2));
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool strideEquals(int shape1Rank,int *shape1,int shape2Rank,int *shape2) {
if(shape1Rank != shape2Rank)
return false;
//rank not equals
for(int i = 0; i < shape1Rank; i++) {
if(shape1[i] != shape2[i])
return false;
}
return true;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool strideEquals(int *shapeInfo1,int *shapeInfo2) {
return shape::strideEquals(shape::rank(shapeInfo1),shape::stride(shapeInfo1),shape::rank(shapeInfo2),shape::stride(shapeInfo2));
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool strideEquals(int *stride1,int rank1 , int *stride2, int rank2) {
if(rank1 != rank2)
return false;
for(int i = 0; i < rank1; i++) {
if(stride1[i] != stride2[i])
return false;
}
return true;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *computeResultShape(int *originalShapeBuffer,int *dimension,int dimensionLength) {
int *retShape;
int retShapeLength;
if(dimensionLength == 1 && dimension[0] == 2147483647) {
retShape = new int[2];
retShape[0] = 1;
retShape[1] = 1;
retShapeLength = 2;
}
else {
retShape = shape::removeIndex(shape::shapeOf(originalShapeBuffer), dimension,
shape::shapeInfoLength(shape::rank(originalShapeBuffer)), dimensionLength);
retShapeLength = shape::rank(originalShapeBuffer) - dimensionLength;
}
//ensure vector is proper shape
if (retShapeLength == 1) {
if (dimension[0] == 0) {
int *newRetShape = new int[2]{1, retShape[0]};
delete[] retShape;
retShape = newRetShape;
retShapeLength = 2;
}
else {
int *newRetShape = new int[2]{retShape[0], 1};
delete[] retShape;
retShape = newRetShape;
retShapeLength = 2;
}
} else if (retShapeLength == 0) {
int *newRetShape = new int[2]{1, 1};
delete[] retShape;
retShape = newRetShape;
retShapeLength = 2;
}
int *ret = shape::shapeBuffer(retShapeLength,retShape);
delete[] retShape;
return ret;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeInfoOnlyShapeAndStride(int *shapeInfo, int *dimension, int dimensionLength,bool reverseCopyStride, int *buffer) {
int *theShape = shape::shapeOf(shapeInfo);
int *theStride = shape::stride(shapeInfo);
int rank = dimensionLength == 1 ? 2 : dimensionLength;
int *ret = buffer;
//set the rank
ret[0] = rank;
int *retShape = shape::shapeOf(ret);
int *retStride = shape::stride(ret);
int len = rank;
if(dimensionLength == 1) {
if(shape::isMatrix(theShape,shape::rank(shapeInfo))) {
if(dimension[0] == 0) {
int newStride[2] = {theStride[dimension[0]],1};
int newShape[2] = {theShape[dimension[0]],1};
retShape[0] = newShape[0];
retShape[1] = newShape[1];
retStride[0] = newStride[0];
retStride[1] = newStride[1];
}
else {
int newStride[2] = {theStride[dimension[0]],1};
int newShape[2] = {theShape[dimension[0]],1};
retShape[0] = newShape[0];
retShape[1] = newShape[1];
retStride[0] = newStride[0];
retStride[1] = newStride[1];
}
}
else {
int newStride[2] = {1,theStride[dimension[0]]};
int newShape[2] = {1,theShape[dimension[0]]};
retShape[0] = newShape[0];
retShape[1] = newShape[1];
retStride[0] = newStride[0];
retStride[1] = newStride[1];
}
}
else {
int *newIndexes = dimension;
if(reverseCopyStride)
shape::reverseCopyTo(theStride, retStride, newIndexes, len);
else
shape::copyTo(len, theStride, retStride, newIndexes);
shape::copyTo(len, theShape, retShape, newIndexes);
}
ret[shape::shapeInfoLength(rank) - 1] = shape::order(shapeInfo);
return ret;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeInfoOnlyShapeAndStride(int *shapeInfo, int *dimension, int dimensionLength,bool reverseCopyStride) {
int rank = dimensionLength == 1 ? 2 : dimensionLength;
traceNew(4);
int *ret = new int[shape::shapeInfoLength(rank)];
return shapeInfoOnlyShapeAndStride(shapeInfo, dimension, dimensionLength, reverseCopyStride, ret);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * createShapeInfo(int *shape, int *stride, int rank) {
traceNew(5);
int *ret = new int[shape::shapeInfoLength(rank)];
return createShapeInfo(shape, stride, rank, ret);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * createShapeInfo(int *shape, int *stride, int rank, int *buffer) {
buffer[0] = rank;
int *retShape = shape::shapeOf(buffer);
int *retStride = shape::stride(buffer);
for(int i = 0;i < rank; i++) {
retShape[i] = shape[i];
retStride[i] = stride[i];
}
return buffer;
}
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * calcStridesFortran(int *shape, int rank, int startNum) {
if (isVector(shape, rank)) {
traceNew(5);
int *ret = new int[2];
for (int i = 0; i < 2; i++)
ret[i] = 1;
return ret;
}
int dimensions = rank;
traceNew(6);
int *stride = new int[dimensions];
int st = startNum;
for (int j = 0; j < rank; j++) {
stride[j] = st;
st *= shape[j];
}
return stride;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * calcStridesFortran(int *shape, int rank, int startNum, int *ret) {
if (isVector(shape, rank)) {
for (int i = 0; i < 2; i++)
ret[i] = 1;
return ret;
}
int dimensions = rank;
int st = startNum;
for (int j = 0; j < rank; j++) {
ret[j] = st;
st *= shape[j];
}
return ret;
}
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * calcStrides(int *shape, int rank, int startNum) {
traceNew(7);
int *stride = new int[rank];
if (rank == 1) {
stride[0] = 1;
return stride;
}
if (shape::isVector(shape, rank)) {
for (int i = 0; i < 2; i++)
stride[i] = 1;
return stride;
}
int st = startNum;
for (int j = rank - 1; j >= 0; j--) {
stride[j] = st;
st *= shape[j];
}
return stride;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * calcStrides(int *shape, int rank, int startNum, int* ret) {
if (rank == 1) {
ret[0] = 1;
return ret;
}
if (shape::isVector(shape, rank)) {
for (int i = 0; i < 2; i++)
ret[i] = 1;
return ret;
}
int st = startNum;
for (int j = rank - 1; j >= 0; j--) {
ret[j] = st;
st *= shape[j];
}
return ret;
}
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * calcStridesFortran(int *shape, int rank) {
return calcStridesFortran(shape, rank, 1);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * calcStridesFortran(int *shape, int rank, int* ret) {
return calcStridesFortran(shape, rank, 1, ret);
}
/**
* Computes the standard packed array strides for a given shape.
*
* @param shape the shape of a matrix:
* @param startNum the start number for the strides
* @return the strides for a matrix of n dimensions
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int* calcStrides(int *shape, int rank) {
return calcStrides(shape, rank, 1);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int* calcStrides(int *shape, int rank, int* ret) {
return calcStrides(shape, rank, 1, ret);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void updateStrides(int *shape, const char order) {
int rank = shape[0];
int doubleRank = 2*rank;
if(order == 'c') {
if (rank > 0) {
shape[doubleRank] = 1; // set unity as last stride for c order
for(int j=1; j<rank; ++j)
shape[doubleRank-j] = shape[doubleRank-j+1]*shape[rank+1-j];
}
}
else {
if (rank > 0) {
shape[rank+1] = 1; // set unity as first stride for f order
for(int j=rank+1; j<doubleRank; ++j)
shape[j+1] = shape[j]*shape[j-rank];
}
}
// set last 3 elements in shape
shape[doubleRank + 1] = 0;
shape[doubleRank + 2] = 1;
shape[doubleRank + 3] = (int)order;
}
// check whether input dimensions are permuted, not permuted dimensions order have to be 0,....,rank-1
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool isDimPermuted(const int* dimensions, const int dimSize ) {
for(int i=0; i<dimSize-1; ++i)
if(dimensions[i] > dimensions[i+1])
return true;
return false;
}
/**
* @param toCopy the shape to copy
* @return a copy of the original struct
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF ShapeInformation *shapeCopy( ShapeInformation *toCopy) {
ShapeInformation *copy = new ShapeInformation;
traceNew(8);
copy->shape = new int[toCopy->rank];
memcpy(copy->shape, toCopy->shape, toCopy->rank * sizeof(int));
traceNew(9);
copy->stride = new int[toCopy->rank];
for (int i = 0; i < toCopy->rank; i++) {
copy->stride[i] = toCopy->stride[i];
}
copy->order = toCopy->order;
copy->rank = toCopy->rank;
copy->offset = toCopy->offset;
copy->elementWiseStride = toCopy->elementWiseStride;
return copy;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int computeElementWiseStride(int rank, int *shape, int *stride, int isFOrder) {
if(shape::isVector(shape,rank)) {
return stride[rank - 1];
}
else {
int oldnd;
int *olddims = shape::copyOf(rank, shape);
int *oldstrides = shape::copyOf(rank, stride);
int np, op, last_stride;
int oi, oj, ok, ni, nj, nk;
traceNew(10);
int *newStrides = new int[rank];
oldnd = 0;
//set the shape to be 1 x length
int newShapeRank = 2;
int *newShape = new int[newShapeRank];
newShape[0] = 1;
newShape[1] = shape::prodLong(shape, rank);
/*
* Remove axes with dimension 1 from the old array. They have no effect
* but would need special cases since their strides do not matter.
*/
for (oi = 0; oi < rank; oi++) {
if (shape[oi] != 1) {
olddims[oldnd] = shape[oi];
oldstrides[oldnd] = stride[oi];
oldnd++;
}
}
np = 1;
for (ni = 0; ni < newShapeRank; ni++) {
np *= newShape[ni];
}
op = 1;
for (oi = 0; oi < oldnd; oi++) {
op *= olddims[oi];
}
if (np != op) {
/* different total sizes; no hope */
delete[] newStrides;
delete[] newShape;
delete[] oldstrides;
delete[] olddims;
return -1;
}
if (np == 0) {
/* the current code does not handle 0-sized arrays, so give up */
delete[] newStrides;
delete[] newShape;
delete[] oldstrides;
delete[] olddims;
return -1;
}
/* oi to oj and ni to nj give the axis ranges currently worked with */
oi = 0;
oj = 1;
ni = 0;
nj = 1;
while (ni < newShapeRank && oi < oldnd) {
np = newShape[ni];
op = olddims[oi];
while (np != op) {
if (np < op) {
/* Misses trailing 1s, these are handled later */
np *= newShape[nj++];
} else {
op *= olddims[oj++];
}
}
/* Check whether the original axes can be combined */
for (ok = oi; ok < oj - 1; ok++) {
if (isFOrder) {
if (oldstrides[ok + 1] != olddims[ok] * oldstrides[ok]) {
/* not contiguous enough */
delete[] newStrides;
delete[] newShape;
delete[] oldstrides;
delete[] olddims;
return -1;
}
} else {
/* C order */
if (oldstrides[ok] != olddims[ok + 1] * oldstrides[ok + 1]) {
/* not contiguous enough */
delete[] newStrides;
delete[] newShape;
delete[] oldstrides;
delete[] olddims;
return -1;
}
}
}
/* Calculate new strides for all axes currently worked with */
if (isFOrder) {
newStrides[ni] = oldstrides[oi];
for (nk = ni + 1; nk < nj; nk++) {
newStrides[nk] = newStrides[nk - 1] * newShape[nk - 1];
}
} else {
/* C order */
newStrides[nj - 1] = oldstrides[oj - 1];
for (nk = nj - 1; nk > ni; nk--) {
newStrides[nk - 1] = newStrides[nk] * newShape[nk];
}
}
ni = nj++;
oi = oj++;
}
/*
* Set strides corresponding to trailing 1s of the new shape.
*/
if (ni >= 1) {
last_stride = newStrides[ni - 1];
} else {
last_stride = stride[rank - 1];
}
if (isFOrder) {
if (ni >= 1)
last_stride *= newShape[ni - 1];
}
for (nk = ni; nk < newShapeRank; nk++) {
newStrides[nk] = last_stride;
}
//returns the last element of the new stride array
int ret = last_stride;
delete[] newStrides;
delete[] newShape;
delete[] oldstrides;
delete[] olddims;
return ret;
}
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int computeElementWiseStride(int rank, int *shape, int *stride, int isFOrder,
int *dimension, int dimensionLength) {
if(dimensionLength == 1) {
return stride[dimension[0]];
}
return -1;
}
/**
* Get the shape info buffer
* for the given rank and shape.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeBuffer(int rank, int *shape) {
int *stride = shape::calcStrides(shape, rank);
traceNew(11);
shape::ShapeInformation * shapeInfo = new shape::ShapeInformation();
shapeInfo->shape = shape;
shapeInfo->stride = stride;
shapeInfo->offset = 0;
shapeInfo->rank = rank;
int elementWiseStride = shape::computeElementWiseStride(rank, shape, stride,
0);
shapeInfo->order = 'c';
shapeInfo->elementWiseStride = elementWiseStride;
int *shapeInfoBuffer = shape::toShapeBuffer(shapeInfo);
delete[] stride;
delete shapeInfo;
return shapeInfoBuffer;
}
/**
* This is special method, it returns ONLY 2D shapebuffer.
*
* This method is used only for SoftMax
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeBuffer(int rank, int *shape, int *buffer) {
int stride[MAX_RANK];
shape::calcStrides(shape,rank, stride);
shape::ShapeInformation shapeInfo;
shapeInfo.shape = shape;
shapeInfo.stride = stride;
shapeInfo.offset = 0;
shapeInfo.rank = rank;
int elementWiseStride = shape::computeElementWiseStride(rank, shape, stride, 0);
shapeInfo.order = 'c';
shapeInfo.elementWiseStride = elementWiseStride;
shape::toShapeBuffer(&shapeInfo, buffer);
return buffer;
}
/**
* Get the shape info buffer
* for the given rank and shape.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeBufferFortran(int rank, int *shape) {
int *stride = shape::calcStridesFortran(shape,rank);
traceNew(12);
shape::ShapeInformation * shapeInfo = new shape::ShapeInformation();
shapeInfo->shape = shape;
shapeInfo->stride = stride;
shapeInfo->offset = 0;
shapeInfo->rank = rank;
int elementWiseStride = shape::computeElementWiseStride(rank, shape, stride, 0);
shapeInfo->order = 'f';
shapeInfo->elementWiseStride = elementWiseStride;
int *shapeInfoBuffer = shape::toShapeBuffer(shapeInfo);
delete[] stride;
delete shapeInfo;
return shapeInfoBuffer;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeBufferFortran(int rank, int *shape, int *output) {
int stride[MAX_RANK];
shape::calcStridesFortran(shape,rank, stride);
shape::ShapeInformation shapeInfo;
shapeInfo.shape = shape;
shapeInfo.stride = stride;
shapeInfo.offset = 0;
shapeInfo.rank = rank;
int elementWiseStride = shape::computeElementWiseStride(rank, shape, stride, 0);
shapeInfo.order = 'f';
shapeInfo.elementWiseStride = elementWiseStride;
shape::toShapeBuffer(&shapeInfo, output);
return output;
}
/**
* Compute the real linear indices for the given shape and stride
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF Nd4jIndex *computeIndices(int rank, int *shape, int *stride) {
Nd4jIndex length = shape::prodLong(shape,rank);
traceNew(13);
Nd4jIndex *ret = new Nd4jIndex[length];
for(int i = 0; i < length; i++) {
int *idx = shape::ind2sub(rank, shape, i);
ret[i] = shape::getOffset(0, shape, stride, idx, rank);
delete[] idx;
}
return ret;
}
/**
* Compute the real linear indices for the given shape and stride
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF Nd4jIndex *computeIndices(int *shapeBuffer) {
return computeIndices(shape::rank(shapeBuffer),shape::shapeOf(shapeBuffer),shape::stride(shapeBuffer));
}
/**
* Convert the given index (such as 1,1)
* to a linear index
* @param shape the shape of the indexes to convert
* @param indices the index to convert
* @return the linear index given the shape
* and indices
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int sub2Ind(int rank, int *shape, int *indices) {
int index = 0;
int shift = 1;
for(int i = 0; i < rank; i++) {
index += shift * indices[i];
shift *= shape[i];
}
return index;
}
template <typename T>
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void fill(T* buffer, T value, Nd4jIndex length) {
#pragma omp simd
for (int e = 0; e < length; e++)
buffer[e] = value;
}
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int* ind2sub(int rank, int *shape, int index,int numIndices) {
traceNew(14);
int *ret = new int[rank];
ind2sub(rank, shape, index, numIndices, ret);
return ret;
}
/**
* Convert a linear index to
* the equivalent nd index.
* Infers the number of indices from the specified shape.
*
* @param shape the shape of the dimensions
* @param index the index to map
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int* ind2sub(int rank, int *shape, int index) {
return ind2sub(rank,shape, index,shape::prodLong(shape,rank));
}
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void ind2sub(int rank, int *shape, int index, int numIndices, int *ret) {
int denom = numIndices;
for(int i = rank - 1; i >= 0; i--) {
denom /= shape[i];
ret[i] = index / denom;
index %= denom;
}
}
/**
* Convert a linear index to
* the equivalent nd index.
* Infers the number of indices from the specified shape.
*
* @param shape the shape of the dimensions
* @param index the index to map
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void ind2sub(int rank,int *shape,int index, int *out) {
ind2sub(rank,shape, index,shape::prodLong(shape,rank),out);
}
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * ind2subC(int rank, int *shape, int index, int numIndices) {
traceNew(15);
int *ret = new int[rank];
ind2subC(rank, shape, index, numIndices, ret);
return ret;
}
/**
* Convert a linear index to
* the equivalent nd index.
* Infers the number of indices from the specified shape.
*
* @param shape the shape of the dimensions
* @param index the index to map
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *ind2subC(int rank, int *shape, int index) {
return ind2subC(rank,shape, index, shape::prodLong(shape,rank));
}
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void ind2subC(int rank, int *shape, int index, int numIndices, int *ret) {
int denom = numIndices;
for(int i = 0; i < rank; i++) {
denom /= shape[i];
if(denom > 0) {
ret[i] = index / denom;
index %= denom;
}
else
ret[i] = 0;
}
}
/**
* Convert a linear index to
* the equivalent nd index.
* Infers the number of indices from the specified shape.
*
* @param shape the shape of the dimensions
* @param index the index to map
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void ind2subC(int rank, int *shape, int index, int *out) {
ind2subC(rank,shape, index,shape::prodLong(shape,rank),out);
}
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void ind2subOrder(int *shapeInfo, int index, int numIndices,int *out) {
if(shape::order(shapeInfo) == 'f') {
shape::ind2sub(
shape::rank(shapeInfo),
shape::shapeOf(shapeInfo),
index,
numIndices,
out);
}
else {
shape::ind2subC(
shape::rank(shapeInfo),
shape::shapeOf(shapeInfo),
index,
numIndices,
out);
}
}
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void ind2subOrder(int *shapeInfo, int index, int *out) {
ind2subOrder(shapeInfo,index,shape::length(shapeInfo),out);
}
/**
* Convert a linear index to
* the equivalent nd index
* @param shape the shape of the dimensions
* @param index the index to map
* @param numIndices the number of total indices (typically prod of shape(
* @return the mapped indexes along each dimension
*/
/**
*
* @param length
* @param shape
* @param rearrange
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *doPermuteSwap(int length, int *shape, int *rearrange) {
traceNew(16);
int *ret = new int[length];
for (int i = 0; i < length; i++) {
ret[i] = shape[rearrange[i]];
}
return ret;
}
/**
*
* @param length
* @param shape
* @param rearrange
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void doPermuteSwap(int length, int **shape, int *rearrange) {
bool inOrder = true;
for(int i = 0; i < length - 1; i++) {
inOrder = inOrder && rearrange[i] + 1 == rearrange[i + 1];
}
//all in order, nothing to do
if(inOrder)
return;
int *shapeDeref = *shape;
//we know they are just reversed, dimension length of 2
if(length == 2) {
int shapeFirst = shapeDeref[0];
int shapeSecond = shapeDeref[1];
shapeDeref[0] = shapeSecond;
shapeDeref[1] = shapeFirst;
return;
}
int *temp = new int[length];
memcpy(temp,shapeDeref,sizeof(int) * length);
for (int i = 0; i < length; i++) {
shapeDeref[i] = temp[rearrange[i]];
}
delete[] temp;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void permuteShapeBufferInPlace(int *shapeBuffer,int *rearrange,int *out) {
if(shapeBuffer != out)
memcpy(out,shapeBuffer,sizeof(int) * shape::shapeInfoLength(shape::rank(shapeBuffer)));
doPermuteShapeBuffer(shape::rank(shapeBuffer),shapeBuffer,rearrange,out);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *permuteShapeBuffer(int *shapeBuffer,int *rearrange) {
int len = shape::shapeInfoLength(shape::rank(shapeBuffer));
int *copy = shape::copyOf(len,shapeBuffer);
doPermuteShapeBuffer(copy,rearrange);
return copy;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void doPermuteShapeBuffer(int *shapeBuffer,int *rearrange) {
int *shapeRef = shapeBuffer;
//rank of the rearrange array == rank of shape buffer
int rearrageRank = shape::rank(shapeRef);
int *shape = shape::shapeOf(shapeRef);
int *stride = shape::stride(shapeRef);
shape::doPermuteSwap(rearrageRank,&shape,rearrange);
shape::doPermuteSwap(rearrageRank,&stride,rearrange);
shapeRef[shapeInfoLength(rearrageRank) - 2] = -1;
shapeRef[shape::shapeInfoLength(rearrageRank) - 1] = shape::getOrder(rearrageRank,shape,stride,1);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void doPermuteShapeBuffer(int *shapeBuffer,int *rearrange, int *tmpBuffer) {
int *shapeRef = shapeBuffer;
//rank of the rearrange array == rank of shape buffer
int rearrageRank = shape::rank(shapeRef);
int *shape = shape::shapeOf(shapeRef);
int *stride = shape::stride(shapeRef);
shape::copyOf(rearrageRank,rearrange, tmpBuffer);
shape::doPermuteSwap(rearrageRank,&shape,tmpBuffer);
shape::copyOf(rearrageRank,rearrange, tmpBuffer);
shape::doPermuteSwap(rearrageRank,&stride,tmpBuffer);
shapeRef[shapeInfoLength(rearrageRank) - 2] = -1;
shapeRef[shape::shapeInfoLength(rearrageRank) - 1] = shape::getOrder(rearrageRank,shape,stride,1);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void doPermuteShapeBuffer(int rank,int *shapeBuffer,int *rearrange) {
int *shapeRef = shapeBuffer;
//rank of the rearrange array == rank of shape buffer
int rearrageRank = rank;
int *shape = shape::shapeOf(shapeRef);
int *stride = shape::stride(shapeRef);
int *rearrangeCopy1 = shape::copyOf(rearrageRank,rearrange);
shape::doPermuteSwap(rearrageRank,&shape,rearrangeCopy1);
delete[] rearrangeCopy1;
int *rearrangeCopy2 = shape::copyOf(rearrageRank,rearrange);
shape::doPermuteSwap(rearrageRank,&stride,rearrangeCopy2);
shapeBuffer[shape::shapeInfoLength(rank) - 1] = shape::getOrder(rank,shape,stride,1);
shapeBuffer[shape::shapeInfoLength(rank) - 2] = -1;
delete[] rearrangeCopy2;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void doPermuteShapeBuffer(int rank,int *shapeBuffer,int *rearrange, int *tmpBuffer) {
int *shapeRef = shapeBuffer;
//rank of the rearrange array == rank of shape buffer
int rearrageRank = rank;
int *shape = shape::shapeOf(shapeRef);
int *stride = shape::stride(shapeRef);
if(shapeBuffer != tmpBuffer)
shape::copyOf(rearrageRank,shapeBuffer, tmpBuffer);
shape::doPermuteSwap(rearrageRank,&shape,rearrange);
shape::doPermuteSwap(rearrageRank,&stride,rearrange);
shapeRef[shapeInfoLength(rank) - 2] = -1;
shapeRef[shape::shapeInfoLength(rank) - 1] = shape::getOrder(rank,shape,stride,1);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *createPermuteIndexes(int originalRank,int *dimension,int dimensionLength) {
int delta = originalRank - dimensionLength;
traceNew(17);
int *ret = new int[originalRank];
for(int i = 0; i < delta; i++) {
ret[i] = i + dimensionLength;
}
for(int i = delta; i < originalRank; i++) {
ret[i] = i - delta;
}
return ret;
}
/**
* Get the ordering for the device
* @param length
* @param shape
* @param stride
* @param elementStride
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF char getOrder(int length, int *shape, int *stride, int elementStride) {
int sd = -1;
int dim = -1;
int i = -1;
int cContiguous = 1;
int isFortran = 1;
sd = 1;
for (i = length - 1; i >= 0; --i) {
dim = shape[i];
if (stride[i] != sd) {
cContiguous = 0;
break;
}
/* contiguous, if it got this far */
if (dim == 0) {
break;
}
sd *= dim;
}
/* check if fortran contiguous */
sd = elementStride;
for (i = 0; i < length; ++i) {
dim = shape[i];
if (stride[i] != sd) {
isFortran = 0;
}
if (dim == 0) {
break;
}
sd *= dim;
}
if (isFortran && cContiguous)
return 'a';
else if (isFortran && !cContiguous)
return 'f';
else if (!isFortran && !cContiguous)
return 'c';
else
return 'c';
}
/**
* Ensure that every value in the re arrange
* array is unique
* @param arr
* @param shape
* @param arrLength
* @param shapeLength
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int checkArrangeArray(int *arr, int arrLength, int shapeLength) {
if (arrLength != shapeLength)
return -1;
for (int i = 0; i < arrLength; i++) {
if (arr[i] >= arrLength || arr[i] < 0)
return -1;
}
for (int i = 0; i < arrLength; i++) {
for (int j = 0; j < arrLength; j++) {
if (i != j && arr[i] == arr[j])
return -1;
}
}
return 1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void traceNew(int id) {
//printf("new happened: [%i]\n", id);
#ifndef __CUDACC__
//fflush(stdout);
#endif
}
/**
* Permute the shape information
* @param info the shape information to permute
* @param rearrange the order to re arrange
* @param rank the rank of the rearrange array
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void permute(ShapeInformation **info, int *rearrange, int rank) {
ShapeInformation *infoDeref = *info;
checkArrangeArray(rearrange, rank, rank);
shape::doPermuteSwap(rank, &infoDeref->shape, rearrange);
shape::doPermuteSwap(rank, &infoDeref->stride, rearrange);
char order = getOrder(rank,
infoDeref->shape,
infoDeref->stride,
infoDeref->elementWiseStride);
infoDeref->order = order;
}
/**
* Returns whether the
* given shape is a vector or not
* @param shape the shape of the array
* @param rank the rank of the shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int isVector(int *shape, int rank) {
if (rank == 1)
return 1;
if (rank > 2)
return 0;
else if (rank <= 2) {
if (shape[0] == 1 || shape[1] == 1)
return 1;
}
return 0;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool isLikeVector(int *shapeInfo) {
int numOfNonUnity = 0;
for(int i = 1; i <= shapeInfo[0]; ++i) {
if(shapeInfo[i] != 1)
++numOfNonUnity;
}
return numOfNonUnity == 1 && shapeInfo[0] > 2;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int isVector(int *shapeInfo) {
return isVector(shape::shapeOf(shapeInfo),shape::rank(shapeInfo));
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool isRowVector(int *shapeInfo) {
bool isVector = shape::isVector(shapeInfo) == 1;
bool shapeFirstOne = shape::shapeOf(shapeInfo)[0] == 1;
return isVector && shapeFirstOne;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool isColumnVector(int *shapeInfo) {
bool isVector = shape::isVector(shapeInfo) == 1;
bool shapeFirstOne = shape::shapeOf(shapeInfo)[0] == 1;
return isVector && !shapeFirstOne;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int oneDimEqualToLength(int *shape, int rank) {
for(int i = 0; i < rank; i++) {
if(shape[i] == shape::prod(shape,rank))
return 1;
}
return 0;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int oneDimEqualToLength(int *shapeInfo) {
return oneDimEqualToLength(shape::shapeOf(shapeInfo),shape::rank(shapeInfo));
}
/**
* Returns whether the
* given shape is a vector or not
* @param shape the shape of the array
* @param rank the rank of the shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int isMatrix(int *shape, int rank) {
if (rank > 2)
return 0;
else if (rank <= 2) {
if (shape[0] == 1 || shape[1] == 1)
return 0;
}
return 1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int isMatrix(int *shapeInfo) {
return isMatrix(shape::shapeOf(shapeInfo),shape::rank(shapeInfo));
}
/**
* Returns the shape portion of an information
* buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeOf(int *buffer) {
return buffer + 1;
}
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *copyOf(int length, int *toCopy) {
traceNew(18);
int *ret = new int[length];
return copyOf(length, toCopy, ret);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *copyOf(int length, int *toCopy, int *ret) {
memcpy(ret, toCopy, sizeof(int)*length);
return ret;
}
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void copyTo(int length, int *from, int *to) {
memcpy(to, from, sizeof(int)*length);
}
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void copyTo(int length, int *from, int *to, int *indexes) {
for(int i = 0; i < length; i++) {
to[i] = from[indexes[i]];
}
}
/**
* Permute the given strides
* in the given rearrange order
* @param toPermute the buffer to permute
* @param shapeRank the length of the buffer to permute
* @param rearrange the rearrange order (must be 0 based indexes
* and all must be filled in)
* @return the rearranged array
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *permutedStrides(int *toPermute, int shapeRank, int *rearrange) {
int *strideCopy = copyOf(shapeRank, toPermute);
checkArrangeArray(rearrange, shapeRank, shapeRank);
int *newStride = doPermuteSwap(shapeRank, strideCopy, rearrange);
delete[] strideCopy;
return newStride;
}
/**
* Return the slice (shape + 1 in pointer arithmetic)
* @param shape the shape to take the slice of
* @return the shape array - the first entry
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *slice(int *shape) {
return shape + 1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int slices(int *shapeBuffer) {
return shape::shapeOf(shapeBuffer)[0];
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *sliceOfShapeBuffer(int sliceIdx,int *shapeBuffer) {
int rank = shape::rank(shapeBuffer);
int newRank = rank - 1;
if(newRank < 2)
newRank = 2;
int *newShapeBuffer = new int[shape::shapeInfoLength(newRank)];
newShapeBuffer[0] = newRank;
int *currShape = shape::shapeOf(shapeBuffer);
int *currStride = shape::stride(shapeBuffer);
//initialize new shape and stride by taking the shape and stride + 1
//and adding to the shape information
//a slice is always just taking the existing shape and cutting the first index off
//of the shape and stride
int *newShape = shape::shapeOf(newShapeBuffer);
int *newStride = shape::stride(newShapeBuffer);
if(shape::isVector(shapeBuffer)) {
int *currShape = shape::shapeOf(shapeBuffer);
//row vector: slice index 0 is a valid index, just copy the whole thing
if(currShape[0] == 1) {
if(sliceIdx == 0) {
memcpy(newShapeBuffer,shapeBuffer,shape::shapeInfoLength(shape::rank(shapeBuffer) * sizeof(int)));
return newShapeBuffer;
}
}
//column vector: this will be a scalar
else {
delete[] newShapeBuffer;
int *scalar = shape::createScalarShapeInfo();
int offset = shape::offset(shapeBuffer);
scalar[shape::shapeInfoLength(2) - 3] = offset + sliceIdx;
return scalar;
}
}
else if(shape::isMatrix(shapeBuffer)) {
newShape[0] = 1;
newShape[1] = currShape[1];
newStride[0] = 1;
newStride[1] = currStride[1];
}
else {
for(int i = 0; i < newRank; i++) {
newShape[i] = currShape[i + 1];
newStride[i] = currStride[i + 1];
}
}
int *indices = new int[rank];
memset((void *) indices,0,rank * sizeof(int));
indices[0] = sliceIdx;
Nd4jIndex offset = shape::getOffset(0,newShape,newStride,indices,rank);
newShapeBuffer[shape::shapeInfoLength(newRank) - 3] = offset;
if(shape::isMatrix(shapeBuffer)) {
newShapeBuffer[shape::shapeInfoLength(newRank) - 2] = currStride[1];
}
else {
newShapeBuffer[shape::shapeInfoLength(newRank) - 2] = shape::elementWiseStride(shapeBuffer);
}
newShapeBuffer[shape::shapeInfoLength(newRank) - 1] = shape::getOrder(newRank,newShape,newStride,1);
delete[] indices;
return newShapeBuffer;
}
/**
* Returns the length of the
* shape information buffer:
* rank * 2 + 3
* @param rank the rank to get the shape
* info length for
* @return rank * 2 + 4
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int shapeInfoLength(int rank) {
//FIXME magic numbers
return rank * 2 + 4;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int shapeInfoLength(int* shape) {
return shapeInfoLength(shape[0]);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF size_t shapeInfoByteLength(int rank) {
//FIXME magic numbers
return (rank * 2 + 4) * sizeof(int);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF size_t shapeInfoByteLength(int* shapeInfo) {
//FIXME magic numbers
return shapeInfoByteLength(shapeInfo[0]);
}
/**
* Returns the rank portion of
* an information buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int rank( int *buffer) {
return buffer[0];
}
/**
* Converts a raw int buffer of the layout:
* rank
* shape
* stride
* offset
* elementWiseStride
*
* where shape and stride are both straight int pointers
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF ShapeInformation *infoFromBuffer(int *buffer) {
traceNew(19);
ShapeInformation *info = new ShapeInformation;
int length = shapeInfoLength(rank(buffer));
int rank = buffer[0];
//start after rank
info->shape = buffer + 1;
info->stride = buffer + (1 + rank);
info->rank = rank;
info->offset = buffer[length - 3];
info->elementWiseStride = buffer[length - 2];
int *stride = buffer + 1 + rank;
info->stride = stride;
info->order = (char) buffer[length - 1];
return info;
}
/**
* Returns the stride portion of an information
* buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *stride( int *buffer) {
return buffer + (1 + rank(buffer));
}
/**
* Compute the length of the given shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF Nd4jIndex length(int *shapeInfo) {
if (shape::rank(shapeInfo) == 0)
return 1L;
return shape::prodLong(shape::shapeOf(shapeInfo), shape::rank(shapeInfo));
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF Nd4jIndex length(std::initializer_list<int>& shape) {
Nd4jIndex ret = 1;
for (auto v : shape) {
ret *= v;
}
return ret;
}
/***
* Returns the offset
* portion of an information buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int offset(int *buffer) {
return buffer[shape::shapeInfoLength(shape::rank(buffer)) - 3];
}
/**
* Returns the ordering
* for this shape information buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF char order(int *buffer) {
//FIXME magic numbers
return (char) buffer[(buffer[0] * 2 + 4) - 1];
}
/**
* Returns the element wise stride for this information
* buffer
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int elementWiseStride(int *buffer) {
return buffer[shapeInfoLength(buffer[0]) - 2];
}
/**
* Returns the element wise stride for this information
* buffer relative to a dimension and reduction index
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int reductionIndexElementWiseStride(int *buffer, int *dimension, int dimensionLength) {
if(dimensionLength > 1) {
if(shape::order(buffer) == 'f') {
/**
* The element wise stride belongs to a reduction index.
* When used out of order, we can get rid of the data
* dependencies and rely on using the max dimension
* specified for stride instead.
* Say we take the sum(0,1) along arr
* we can use arr.stride(1) as a representation
* along which to iterate.
*/
if(shape::shapeOf(buffer)[dimension[dimensionLength - 1]] != 1) {
//int tadElementWiseStride = shape::stride(buffer)[dimension[dimensionLength - 1]];
//return tadElementWiseStride;
int tadElementWiseStride = shape::stride(buffer)[dimension[0]];
return tadElementWiseStride;
}
return 1;
}
else {
/**
* The element wise stride belongs to a reduction index.
* When used out of order, we can get rid of the data
* dependencies and rely on using the max dimension
* specified for stride instead.
* Say we take the sum(0,1) along arr
* we can use arr.stride(1) as a representation
* along which to iterate.
*/
if(shape::shapeOf(buffer)[dimension[dimensionLength - 1]] != 1) {
int tadElementWiseStride = shape::stride(buffer)[dimension[dimensionLength - 1]];
return tadElementWiseStride;
}
return 1;
}
}
else {
if(shape::order(buffer) == 'f') {
/**
* The element wise stride belongs to a reduction index.
* When used out of order, we can get rid of the data
* dependencies and rely on using the max dimension
* specified for stride instead.
* Say we take the sum(0,1) along arr
* we can use arr.stride(1) as a representation
* along which to iterate.
*/
int tadElementWiseStride = shape::stride(buffer)[dimension[0]];
return tadElementWiseStride;
}
else {
/**
* The element wise stride belongs to a reduction index.
* When used out of order, we can get rid of the data
* dependencies and rely on using the max dimension
* specified for stride instead.
* Say we take the sum(0,1) along arr
* we can use arr.stride(1) as a representation
* along which to iterate.
*/
int tadElementWiseStride = shape::stride(buffer)[dimension[dimensionLength - 1]];
return tadElementWiseStride;
}
}
}
/**
* Returns whether
* the given shape info buffer
* represents a scalar shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int isScalar(int *info) {
if (shape::rank(info) == 0)
return 1;
if (shape::rank(info) > 2)
return 0;
if (shape::rank(info) == 1)
return shape::shapeOf(info)[0] == 1;
else if (rank(info) == 2) {
return shape::shapeOf(info)[0] == 1 && shape::shapeOf(info)[1] == 1;
}
return 0;
}
/**
* Returns whether
* the given shape information
* represents a scalar
* shape or not
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int isScalar(volatile ShapeInformation *info) {
if (info->rank > 2)
return 0;
if (info->rank == 1)
return info->shape[0] == 1;
else if (info->rank == 2) {
return info->shape[0] == 1 && info->shape[1] == 1;
}
return 0;
}
/**
* Return a copy of this array with the
* given index omitted
*
* @param data the data to copy
* @param indexes the index of the item to remove
* @param dataLength the length of the data array
* @param indexesLength the length of the data array
* @return the new array with the omitted
*
* item
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void removeIndex(int *data, int *indexes, int dataLength, int indexesLength,
int *ret) {
int count = 0;
int absLength = dataLength - indexesLength;
for (int i = 0; i < dataLength && count < absLength; i++) {
int contains = 0;
for (int j = 0; j < indexesLength; j++) {
if (i == indexes[j]) {
contains = 1;
break;
}
}
if (!contains) {
ret[count] = data[i];
count++;
}
}
}
/**
* Return a copy of this array with the
* given index omitted
*
* @param data the data to copy
* @param indexes the index of the item to remove
* @param dataLength the length of the data array
* @param indexesLength the length of the data array
* @return the new array with the omitted
*
* item
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int * removeIndex(int *data, int *indexes, int dataLength, int indexesLength) {
int lengthOfArr = dataLength - indexesLength;
if(lengthOfArr < 0) {
printf("Remove index call created a <= 0 length array. This was likely not intended.");
}
int *ret = new int[lengthOfArr];
removeIndex(data,indexes,dataLength,indexesLength,ret);
return ret;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int* everyIndexBut(int *indexes,int indexesLength,int begin,int end) {
int len = end - indexesLength;
traceNew(20);
int *ret = new int[len];
int retIdx = 0;
//not here that we do 0 based indexing for end - this assumes things like:
//0 to 4 are specified
for(int i = begin; i < end ; i++) {
bool found = false;
for(int j = 0; j < indexesLength; j++) {
if(indexes[j] == i) {
found = true;
break;
}
}
if(!found) {
ret[retIdx++] = i;
}
}
return ret;
}
/**
* Computes the offset for accessing
* a global element given the shape information
* and the offset to be read.
*/
#ifdef __CUDACC__
INLINEDEF __device__ int tadOffset(ShapeInformation *xInfo, int offset) {
return offset + threadIdx.x * xInfo->elementWiseStride;
}
#endif
/**
* Returns a shape
* forces the given length to be 2.
* @param shape the shape to modify
* @param dimension the dimension (row or column)
* for the shape to be returned as
* @return the new shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *ensureVectorShape(int *shape, int dimension) {
traceNew(21);
int *ret = new int[2];
if (dimension == 0) {
ret[0] = 1;
ret[1] = shape[0];
} else {
ret[0] = shape[0];
ret[1] = 1;
}
return ret;
}
/**
* Returns a shape
* forces the given length to be 2.
* @param shape the shape to modify
* @param dimension the dimension (row or column)
* for the shape to be returned as
* @return the new shape
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *ensureVectorShape(int *shape) {
return ensureVectorShape(shape, 0);
}
/**
* This method does STRICT comparison for two shape buffers
*
* @param shape
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool equalsStrict(int *shapeA, int *shapeB) {
if (shapeA[0] != shapeB[0])
return false;
if (shapeA[0] == 0)
return true;
// we do full comparison here
int length = shape::shapeInfoLength(shapeA[0]);
for (int e = 1; e < length; e++)
if (shapeA[e] != shapeB[e])
return false;
return true;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int sizeAt(int *shape, int dim) {
if (dim >= 0)
return shape[1+dim];
else
return shape[1+(rank(shape) + dim)];
}
/**
* This method does SOFT comparison for two shape buffers, we compare only rank & shapes
*
* @param shape
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool equalsSoft(int *shapeA, int *shapeB) {
if (shapeA[0] != shapeB[0])
return false;
if (shapeA[0] == 0)
return true;
// we compare only shapes, and ignoring stride & ews
int length = shapeA[0];
for (int e = 1; e <= length; e++)
if (shapeA[e] != shapeB[e])
return false;
return true;
}
/**
* Generate an int buffer
* up to the given length
* at the specified increment
*
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *range(int from, int to, int increment) {
int diff = nd4j::math::nd4j_abs<int>(from - to);
int retLength = diff / increment;
int *ret;
traceNew(22);
if(diff / increment < 1)
ret = new int[1];
else
ret = new int[diff / increment];
if (from < to) {
int count = 0;
for (int i = from; i < to; i += increment) {
if (count >= retLength)
break;
ret[count++] = i;
}
} else if (from > to) {
int count = 0;
for (int i = from - 1; i >= to; i -= increment) {
if (count >= retLength)
break;
ret[count++] = i;
}
}
return ret;
}
/**
* Generate a range
* beginning at from and ending at to
* incrementing by 1
* @param from the start
* @param to the end
* @return the int array starting at from and ending at to
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *range(int from, int to) {
return range(from, to, 1);
}
/**
* Keep the given indexes in the data
* @param data
* @param index
* @param indexLength
* @param dataLength
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *keep(volatile int *data, int *index, int indexLength, int dataLength) {
traceNew(23);
int *ret = new int[indexLength];
int count = 0;
for (int i = 0; i < dataLength; i++) {
int contains = 0;
for (int j = 0; j < indexLength; j++) {
if (i == index[j]) {
contains = 1;
break;
}
}
if (contains)
ret[count++] = data[i];
}
return ret;
}
/**
* Generate a reverse
* copy of the data
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *reverseCopy(int *data, int length) {
if (length < 1)
return nullptr;
traceNew(24);
int *copy = new int[length];
for (int i = 0; i <= length / 2; i++) {
int temp = data[i];
copy[i] = data[length - i - 1];
copy[length - i - 1] = temp;
}
return copy;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void reverseCopyTo(int *from, int *to, int length) {
if (length < 1)
return;
for (int i = 0; i <= length / 2; i++) {
int temp = from[i];
to[i] = from[length - i - 1];
to[length - i - 1] = temp;
}
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void reverseCopyTo(int *from, int *to, int *indexes, int length) {
if (length < 1)
return;
for (int i = 0; i <= length / 2; i++) {
int temp = from[indexes[i]];
to[i] = from[indexes[length - i - 1]];
to[length - i - 1] = temp;
}
}
/**
*
* @param arr1
* @param arr1Length
* @param arr2
* @param arr2Length
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *concat(int *arr1, int arr1Length, int *arr2, int arr2Length) {
traceNew(25);
int *ret = new int[arr1Length + arr2Length];
std::memcpy(ret, arr1, arr1Length * sizeof(int));
std::memcpy(ret + arr1Length, arr2, arr2Length * sizeof(int));
return ret;
}
/**
*
* @param numArrays
* @param numTotalElements
* @param arr
* @param lengths
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *concat(int numArrays, int numTotalElements, int **arr, int *lengths) {
int *ret = new int[numTotalElements];
int count = 0;
for (int i = 0; i < numArrays; i++) {
for (int j = 0; j < lengths[i]; j++) {
ret[count++] = arr[i][j];
}
}
return ret;
}
/**
* Get the length per slice of the
* given shape and the dimension
* @param rank the rank of the shape
* @param shape the shape of to get
* the length per slice for
* @param dimension the dimension to
* get the length per slice for
* @param dimensionLength the length of the dimension array
* @return the length per slice of the given shape
* along the given dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int lengthPerSlice(int rank, int *shape, int *dimension, int dimensionLength) {
if(shape::isVector(shape,rank)) {
//return total length for row vectors
if(dimensionLength == 1 && shape[0] == 1) {
return shape::prod(shape,rank);
}
}
else if(rank == dimensionLength)
return shape::prod(shape,rank);
int absSelta = nd4j::math::nd4j_abs<int>(rank - dimensionLength);
traceNew(27);
int *ret2 = shape::removeIndex(shape,dimension,rank,dimensionLength);
int ret = prod(ret2, absSelta);
delete[] ret2;
return ret;
}
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int sliceOffsetForTensor(int rank, int index, int *shape, int *tensorShape,
int tensorShapeLength, int *dimension, int dimensionLength) {
int tensorLength = prodLong(tensorShape, tensorShapeLength);
int lengthPerSlice2 = lengthPerSlice(rank, shape, dimension,
dimensionLength);
if (lengthPerSlice2 <= 0) {
return 0;
}
int offset = index * tensorLength / lengthPerSlice2;
return offset;
}
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int sliceOffsetForTensor(int index,int tensorLength,int lengthPerSlice2) {
int offset = index * tensorLength / lengthPerSlice2;
return offset;
}
#ifdef __CUDACC__
/**
* Computes the offset for accessing
* a global element given the shape information
* and the offset to be read.
*/
INLINEDEF __device__ int tadOffset(int *xInfo, int offset) {
return offset + threadIdx.x * elementWiseStride(xInfo);
}
#endif
/**
* Computes the number
* of tensors along
* a given dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tensorsAlongDimension(volatile int rank, volatile int length,
volatile int *shape, int *dimension, int dimensionLength) {
int *tensorShape = shape::keep(shape, dimension, dimensionLength, rank);
int ret = length / shape::prodLong(tensorShape, dimensionLength);
delete[] tensorShape;
return ret;
}
/**
* Computes the number
* of tensors along
* a given dimension
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tensorsAlongDimension(int *shapeInfo, int *dimension, int dimensionLength) {
int *keepShape = shape::shapeOf(shapeInfo);
int *tensorShape = shape::keep(keepShape, dimension, dimensionLength,
rank(shapeInfo));
int ret = shape::length(shapeInfo)
/ shape::prodLong(tensorShape, dimensionLength);
delete[] tensorShape;
return ret;
}
/**
* Get an offset for retrieval
* from a data buffer
* based on the given
* shape stride and given indices
* @param baseOffset the offset to start from
* @param shape the shape of the array
* @param stride the stride of the array
* @param indices the indices to iterate over
* @return the double at the specified index
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF Nd4jIndex getOffset(Nd4jIndex baseOffset, int *shape, int *stride, int *indices, int rank) {
Nd4jIndex offset = baseOffset;
for(int i = 0; i < rank; i++) {
if(indices[i] >= shape[i] && shape[i] != 1) {
printf("Index %d [%d] must not be >= shape[%d].\n", i,indices[i],shape[i]);
return -1;
}
if(shape[i] != 1) {
offset += (Nd4jIndex) indices[i] * (Nd4jIndex) stride[i];
}
}
return offset;
}
/**
* Returns the tensor along dimension
* for the given block index
* @param blockSize
* @param blockIdx
* @param i
* @return
*/
#ifdef __CUDACC__
__device__ __host__
#endif
INLINEDEF int tadForBlockIndex(int blockSize, int blockIdx, int i) {
return blockIdx + i * blockSize;
}
/**
* Computes the number of tads per block
*
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tadsPerBlock(int blockSize, int tads) {
return nd4j::math::nd4j_ceil<double>(tads / (double) blockSize);
}
/**
* Returns a shape buffer
* for the shape information metadata.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *toShapeBuffer( ShapeInformation *info) {
traceNew(29);
int *ret = new int[shapeInfoLength(info->rank)];
int count = 1;
int rank = info->rank;
ret[0] = info->rank;
for (int i = 0; i < rank; i++) {
ret[count++] = info->shape[i];
}
for (int i = 0; i < rank; i++) {
ret[count++] = info->stride[i];
}
ret[count++] = info->offset;
ret[count++] = info->elementWiseStride;
ret[count++] = info->order;
return ret;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *toShapeBuffer( ShapeInformation *info, int* ret) {
int count = 1;
int rank = info->rank;
ret[0] = info->rank;
if (ret[0] == 0) {
ret[1] = 0;
ret[2] = 1;
ret[3] = 99;
return ret;
}
for (int i = 0; i < rank; i++) {
ret[count++] = info->shape[i];
}
for (int i = 0; i < rank; i++) {
ret[count++] = info->stride[i];
}
ret[count++] = info->offset;
ret[count++] = info->elementWiseStride;
ret[count++] = info->order;
return ret;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void printIntArray(int *arr,int length) {
for(int i = 0; i < length; i++) {
printf(" %d ",arr[i]);
}
printf("\n");
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void printShapeInfo(int *shapeInfo) {
int rank = shape::rank(shapeInfo);
int *shape = shape::shapeOf(shapeInfo);
printf("Rank %d\n",rank);
printf("Shape:\n");
for(int i = 0; i < rank; i++) {
printf(" %d ",shape[i]);
}
printf("\n");
int *stride = shape::stride(shapeInfo);
printf("Stride:\n");
for(int i = 0; i < rank; i++) {
printf(" %d ",stride[i]);
}
printf("\n");
printf("Order %c\n",shape::order(shapeInfo));
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void printShapeInfoLinear(int *shapeInfo) {
int rank = shape::rank(shapeInfo);
int lim = shape::shapeInfoLength(rank);
printf("ShapeInfo: [");
for (int i = 0; i < lim; i++) {
printf("%i", shapeInfo[i]);
if (i < lim - 1) {
printf(", ");
}
}
printf("]\n");
#ifndef __CUDACC__
fflush(stdout);
#endif
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void printArray(float *arr,int length) {
printf("Array: [");
for (int i = 0; i < length; i ++) {
printf("%f", arr[i]);
if (i + 1 < length) printf(", ");
}
printf("]\n");
}
/**
* Given an linear index, element wise stride
* and the length of each tad
* map a linear index to a tad
* @param i the index to map
* @param the element wise stride for the tads
* @param numElementsPerTad the number of elements
* per tad
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tadIndex(int i, int elementWiseStride, int numElementsPerTad) {
return i / (numElementsPerTad * elementWiseStride);
}
/**
* Map a tad to a
* reduction index.
* @param tadIndexForOriginal the original tad index for the
* split up problem (eg: split is dimension 3 mapping to a 2,3 problem)
* @param tadsForReduced the number of tads for the shrunk down problem (eg: 2,3)
* @param tadsForOriginal the number of tads for the smaller problem (eg: 3)
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int reductionIndexForTad(int tadIndexForOriginal, int tadsForReduced,
int tadsForOriginal) {
if (tadIndexForOriginal == 0)
return 0;
return tadIndexForOriginal / (tadsForOriginal / tadsForReduced);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF void transposeInplace(int *shapeBuffer) {
int rank = shape::rank(shapeBuffer);
int *shape = shape::shapeOf(shapeBuffer);
int *strides = shape::stride(shapeBuffer);
// swap shape
for (int e = 0; e < rank / 2; e++) {
int idx1 = rank - e - 1;
int idx2 = e;
int tmp = shape[idx2];
shape[idx2] = shape[idx1];
shape[idx1] = tmp;
}
// swap strides
for (int e = 0; e < rank / 2; e++) {
int idx1 = rank - e - 1;
int idx2 = e;
int tmp = strides[idx2];
strides[idx2] = strides[idx1];
strides[idx1] = tmp;
}
if (shape::order(shapeBuffer) == 'c')
shapeBuffer[shape::shapeInfoLength(shapeBuffer) - 1] = 102;
else
shapeBuffer[shape::shapeInfoLength(shapeBuffer) - 1] = 99;
}
/**
* Tad index for linear
* @param linearIndex
* @param tadLength
* @return
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tadIndexForLinear(int linearIndex, int tadLength) {
return linearIndex % tadLength;
}
/**
* Computes the number of tads
* per reduce index for the
* reduction tad.
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int tadsPerReduceIndex(int tadsForReduce, int tadsForOriginal) {
return tadsForOriginal / tadsForReduce;
}
/**
* Maps a linear index to a reduction index
* @param i the linear index to map
* @param elementWiseStride the element wise stride
* for the multiple problem
* @param tadNum the number of tads for the shrunken problem
* @param originalTadNum the tad number for the reduced version of the problem
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int reductionIndexForLinear(int i, int elementWiseStride, int numElementsPerTad,
int tadNum, int originalTadNum) {
int tad = tadIndex(i, elementWiseStride, numElementsPerTad);
return reductionIndexForTad(tad, tadNum, originalTadNum);
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int* createScalarShapeInfo() {
traceNew(30);
int *shape = new int[2];
shape[0] = 1;
shape[1] = 1;
int *stride = new int[2];
stride[0] = 1;
stride[1] = 1;
ShapeInformation *shapeInformation2 = new ShapeInformation();
shapeInformation2->rank = 2;
shapeInformation2->offset = 0;
shapeInformation2->stride = stride;
shapeInformation2->shape = shape;
shapeInformation2->elementWiseStride = 1;
shapeInformation2->order = 99;
int *ret = shape::toShapeBuffer(shapeInformation2);
delete shapeInformation2;
delete[] shape;
delete[] stride;
return ret;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int* createScalarShapeInfo(int *ret) {
ret[0] = 2;
ret[1] = 1;
ret[2] = 1;
ret[3] = 1;
ret[4] = 1;
ret[5] = 0;
ret[6] = 1;
ret[7] = 99;
return ret;
}
/**
* Returns the prod of the data
* up to the given length
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int prod(int *data, int length) {
int prod = 1;
for (int i = 0; i < length; i++) {
prod *= data[i];
}
return prod;
}
/**
* Returns the prod of the data
* up to the given length
*/
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF Nd4jIndex prodLong( int *data, int length) {
Nd4jIndex prod = 1;
for (int i = 0; i < length; i++) {
prod *= data[i];
}
return prod;
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int rearMostLeftOverItem(int *data, int *dimension,int dimensionLength) {
int *stride = shape::stride(data);
//corner case: return the final item when its greater than the max, since its guaranteed to be left over
//note here that strides are interpreted in reverse for tad
//start from the front rather than the back
int rank = shape::rank(data);
if(shape::order(data) == 'f') {
int dimIdx = dimensionLength - 1;
for(int i = rank - 1; i >= 0; i--) {
/**
* Needs to find an algorithm such that:
* looping backwards will find the highest dimension left
* that isn't included in the dimension index list.
*
* This can also be thought of as the last item of the first index
* of the difference between the full list of indices and
* the dimension indices.
*
* We should avoid excessive object creation by only looping backwards.
*/
if(dimension[dimIdx--] != i) {
int ret = stride[i];
return ret;
}
}
}
else {
int dimIdx = dimensionLength - 1;
for(int i = rank - 1; i >= 0; i--) {
/**
* Needs to find an algorithm such that:
* looping backwards will find the highest dimension left
* that isn't included in the dimension index list.
*
* This can also be thought of as the last item of the first index
* of the difference between the full list of indices and
* the dimension indices.
*
* We should avoid excessive object creation by only looping backwards.
*/
if(dimension[dimIdx--] != i) {
int ret = stride[i];
return ret;
}
}
}
int ret = stride[0];
return ret;
}
#ifdef __CUDACC__
__device__ INLINEDEF void sweepShapeInfoBuffer(int *shapeInfoBuffer, int *targetBuffer) {
// we read first element, to find out length of our shapeInfoBuffer
int rank = shapeInfoBuffer[0];
int len = shape::shapeInfoLength(rank);
for (int i = threadIdx.x; i < len; i += blockDim.x)
targetBuffer[i] = shapeInfoBuffer[i];
}
#endif
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeBufferOfNpy(cnpy::NpyArray arr) {
return shape::shapeBufferOfNpy(arr.shape.size(),(unsigned int* )arr.shape.data(),arr.fortranOrder);
}
//#ifdef __CUDACC__
// __host__ __device__
//#endif
// INLINEDEF int *shapeBufferOfNpyBuffer(char *buffer) {
// unsigned int *shape;
// unsigned int ndims, wordSize;
// bool fortranOrder;
// cnpy::parseNpyHeaderStr(std::string(buffer),wordSize,shape,ndims,fortranOrder);
// int * ret = shape::shapeBufferOfNpy(ndims,shape,fortranOrder);
// delete[] shape;
// return ret;
// }
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF int *shapeBufferOfNpy(int rank, unsigned int *shape,bool fortranOrder) {
if(fortranOrder) {
int *shapeBufferRet = shape::shapeBufferFortran(rank,(int *) shape);
return shapeBufferRet;
}
else {
int *newShape = new int[rank];
for(int i = 0; i < rank; i++) {
newShape[i] = shape[i];
}
int *shapeBufferRet = shape::shapeBuffer(rank,newShape);
delete[] newShape;
return shapeBufferRet;
}
}
#ifdef __CUDACC__
__host__ __device__
#endif
INLINEDEF bool strideDescendingCAscendingF(int *shapeBuffer) {
int rank = shape::rank(shapeBuffer);
int *strides = shape::stride(shapeBuffer);
char order = shape::order(shapeBuffer);
if (shape::isRowVector(shapeBuffer) && strides[0] == 1 && strides[1] == 1)
return true;
if (order == 'c') {
for (int i = 1; i < rank; i++)
if (strides[i-1] <= strides[i])
return false;
return true;
} else if (order == 'f') {
for (int i = 1; i < rank; i++)
if (strides[i-1] >= strides[i])
return false;
return true;
} else {
printf("Unknown order for array!\n");
return false;
}
}
#ifdef __CUDACC__
__host__
#endif
INLINEDEF bool reshapeCF(const int oldRank, int* oldShape, const int newRank, int* newShapeOf, bool isFOrder, int* target) {
int oldnd;
int* olddims = shape::copyOf(oldRank, shape::shapeOf(oldShape));
int* oldstrides = shape::copyOf(oldRank, shape::stride(oldShape));
int np, op, last_stride;
int oi, oj, ok, ni, nj, nk;
int* newStrides = new int[newRank];
oldnd = 0;
/*
* Remove axes with dimension 1 from the old array. They have no effect
* but would need special cases since their strides do not matter.
*/
for (oi = 0; oi < oldRank; oi++) {
if (shape::shapeOf(oldShape)[oi] != 1) {
olddims[oldnd] = shape::shapeOf(oldShape)[oi];
oldstrides[oldnd] = shape::stride(oldShape)[oi];
oldnd++;
}
}
np = 1;
for (ni = 0; ni < newRank; ni++) {
np *= newShapeOf[ni];
}
op = 1;
for (oi = 0; oi < oldnd; oi++) {
op *= olddims[oi];
}
if (np != op) {
/* different total sizes; no hope */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
if (np == 0) {
/* the current code does not handle 0-sized arrays, so give up */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
/* oi to oj and ni to nj give the axis ranges currently worked with */
oi = 0;
oj = 1;
ni = 0;
nj = 1;
while (ni < newRank && oi < oldnd) {
np = newShapeOf[ni];
op = olddims[oi];
while (np != op) {
if (np < op) {
/* Misses trailing 1s, these are handled later */
np *= newShapeOf[nj++];
} else {
op *= olddims[oj++];
}
}
/* Check whether the original axes can be combined */
for (ok = oi; ok < oj - 1; ok++) {
if (isFOrder) {
if (oldstrides[ok + 1] != olddims[ok] * oldstrides[ok]) {
/* not contiguous enough */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
} else {
/* C order */
if (oldstrides[ok] != olddims[ok + 1] * oldstrides[ok + 1]) {
/* not contiguous enough */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
}
}
/* Calculate new strides for all axes currently worked with */
if (isFOrder) {
newStrides[ni] = oldstrides[oi];
for (nk = ni + 1; nk < nj; nk++) {
newStrides[nk] = newStrides[nk - 1] * newShapeOf[nk - 1];
}
} else {
/* C order */
newStrides[nj - 1] = oldstrides[oj - 1];
for (nk = nj - 1; nk > ni; nk--) {
newStrides[nk - 1] = newStrides[nk] * newShapeOf[nk];
}
}
ni = nj++;
oi = oj++;
}
if (ni >= 1) {
last_stride = newStrides[ni - 1];
} else {
last_stride = shape::elementWiseStride(oldShape);
}
if (isFOrder && ni >= 1) {
last_stride *= newShapeOf[ni - 1];
}
for (nk = ni; nk < newRank; nk++) {
newStrides[nk] = last_stride;
}
target[0] = newRank;
int cnt = 1;
for (int e = 0; e < newRank; e++)
target[cnt++] = newShapeOf[e];
for (int e = 0; e < newRank; e++)
target[cnt++] = newStrides[e];
target[shape::shapeInfoLength(newRank) - 3] = 0;
target[shape::shapeInfoLength(newRank) - 2] = -1;
target[shape::shapeInfoLength(newRank) - 1] = isFOrder ? 102 : 99;
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return true;
}
#ifdef __CUDACC__
__host__
#endif
INLINEDEF bool canReshape(const int oldRank, int* oldShape, const int newRank, int* newShapeOf, bool isFOrder) {
int oldnd;
int* olddims = shape::copyOf(oldRank, shape::shapeOf(oldShape));
int* oldstrides = shape::copyOf(oldRank, shape::stride(oldShape));
int np, op, last_stride;
int oi, oj, ok, ni, nj, nk;
int* newStrides = new int[newRank];
oldnd = 0;
/*
* Remove axes with dimension 1 from the old array. They have no effect
* but would need special cases since their strides do not matter.
*/
for (oi = 0; oi < oldRank; oi++) {
if (shape::shapeOf(oldShape)[oi] != 1) {
olddims[oldnd] = shape::shapeOf(oldShape)[oi];
oldstrides[oldnd] = shape::stride(oldShape)[oi];
oldnd++;
}
}
np = 1;
for (ni = 0; ni < newRank; ni++) {
np *= newShapeOf[ni];
}
op = 1;
for (oi = 0; oi < oldnd; oi++) {
op *= olddims[oi];
}
if (np != op) {
/* different total sizes; no hope */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
if (np == 0) {
/* the current code does not handle 0-sized arrays, so give up */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
/* oi to oj and ni to nj give the axis ranges currently worked with */
oi = 0;
oj = 1;
ni = 0;
nj = 1;
while (ni < newRank && oi < oldnd) {
np = newShapeOf[ni];
op = olddims[oi];
while (np != op) {
if (np < op) {
/* Misses trailing 1s, these are handled later */
np *= newShapeOf[nj++];
} else {
op *= olddims[oj++];
}
}
/* Check whether the original axes can be combined */
for (ok = oi; ok < oj - 1; ok++) {
if (isFOrder) {
if (oldstrides[ok + 1] != olddims[ok] * oldstrides[ok]) {
/* not contiguous enough */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
} else {
/* C order */
if (oldstrides[ok] != olddims[ok + 1] * oldstrides[ok + 1]) {
/* not contiguous enough */
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return false;
}
}
}
/* Calculate new strides for all axes currently worked with */
if (isFOrder) {
newStrides[ni] = oldstrides[oi];
for (nk = ni + 1; nk < nj; nk++) {
newStrides[nk] = newStrides[nk - 1] * newShapeOf[nk - 1];
}
} else {
/* C order */
newStrides[nj - 1] = oldstrides[oj - 1];
for (nk = nj - 1; nk > ni; nk--) {
newStrides[nk - 1] = newStrides[nk] * newShapeOf[nk];
}
}
ni = nj++;
oi = oj++;
}
delete[] olddims;
delete[] oldstrides;
delete[] newStrides;
return true;
}
#ifdef __CUDACC__
__host__
#endif
// this function checks the consistence of dimensions with array rank (negative dimensions, too large dimensions, too big number of dimensions)
// also sort input array of dimensions, this operation is also necessary for creating TAD object
INLINEDEF void checkDimensions(const int rank, std::vector<int>& dimensions) {
int dimSize = dimensions.size();
if(dimSize == 0)
throw "shape::checkDimensions method: array of dimensions is empty!";
// check presence of negative dimensions and if they are present transform them to positive ones -dim -> rank - |dim|
for(auto& dim : dimensions)
if(dim < 0)
dim += rank;
// sort input array of dimensions, this operation is also necessary for creating TAD object in external methods
if (dimSize > 1) {
std::sort(dimensions.begin(), dimensions.end());
// remove duplicates if they are present
dimensions.erase(std::unique(dimensions.begin(), dimensions.end()), dimensions.end());
}
// check whether number of dimensions is to big (>rank)
dimSize = dimensions.size();
if(dimSize > rank)
throw "shape::checkDimensions method: number of input dimensions is too big ( > rank of array) !";
// check if min dimension is still negative and whether max dimension is bigger then rank-1
if(dimensions[0] < 0 || dimensions.back() > (rank-1))
throw "shape::checkDimensions method: the negative dimension is still present in input array after transform or the too big dimension is present ( > rank of array) !";
return;
}
#ifdef __CUDACC__
__host__
#endif
// return absolute index of array min, min is sub-array of max, index to be returned is min's index and corresponds to maxIdx of max array
INLINEDEF Nd4jIndex subArrayIndex(const int* maxShapeInfo, const int* minShapeInfo, const int maxIdx) {
int *idxPerRank = new int[maxShapeInfo[0]];
ind2subC(maxShapeInfo[0], const_cast<int*>(maxShapeInfo)+1, const_cast<int&>(maxIdx), idxPerRank);
Nd4jIndex minIdx = 0;
for(int i = 0; i < minShapeInfo[0]; ++i) {
if(minShapeInfo[minShapeInfo[0] - i] == 1 || idxPerRank[maxShapeInfo[0] - i - 1] == 0)
continue;
if(idxPerRank[maxShapeInfo[0] - i - 1] >= minShapeInfo[minShapeInfo[0] - i])
idxPerRank[maxShapeInfo[0] - i - 1] %= minShapeInfo[minShapeInfo[0] - i];
minIdx += idxPerRank[maxShapeInfo[0] - i - 1] * stride(const_cast<int*>(minShapeInfo))[minShapeInfo[0] - i - 1];
}
delete[] idxPerRank;
return minIdx;
}
}
#endif /* SHAPE_H_ */
|
atomic-6.c | /* { dg-do compile } */
int x[10], z;
double y[10];
void f1(void)
{
#pragma omp atomic
x[z] /= y[z];
}
|
GB_unop__identity_int16_int32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_int16_int32)
// op(A') function: GB (_unop_tran__identity_int16_int32)
// C type: int16_t
// A type: int32_t
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
int16_t z = (int16_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int16_t z = (int16_t) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT16 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_int16_int32)
(
int16_t *Cx, // Cx and Ax may be aliased
const int32_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
int32_t aij = Ax [p] ;
int16_t z = (int16_t) aij ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
int32_t aij = Ax [p] ;
int16_t z = (int16_t) aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_int16_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
single_producer.c | //===-- single_producer.c - Example with for a single producer ---*- C -*-===//
//
// Part of the LOMP 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
//
//===----------------------------------------------------------------------===//
#include <stdio.h>
#include <unistd.h>
#include <omp.h>
#define NTASKS 16
void produce(double d) {
for (int i = 0; i < NTASKS; i++) {
// create a new task to for another thread to steal
printf("%d: creating task\n", omp_get_thread_num());
#pragma omp task firstprivate(i) firstprivate(d)
{
double answer = i * d;
printf("%d: Hello from task %d and the answer is %lf\n",
omp_get_thread_num(), i, answer);
}
// slow down a little in producing the tasks, so that a worker
// can steal the task from the queue
sleep(1);
}
}
int main(void) {
double d = 42.0;
#pragma omp parallel
{
#pragma omp master
{ produce(d); }
}
return 0;
}
|
VolumetricReplicationPadding.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/VolumetricReplicationPadding.c"
#else
static inline void THNN_(VolumetricReplicationPadding_shapeCheck)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
int pleft, int pright,
int ptop, int pbottom,
int pfront, int pback) {
int dimw = 3;
int dimh = 2;
int dimd = 1;
int dimslices = 0;
int64_t nslices;
int64_t idepth;
int64_t iheight;
int64_t iwidth;
int64_t odepth;
int64_t oheight;
int64_t owidth;
THNN_ARGCHECK(!input->is_empty() && (input->dim() == 4 || input->dim() == 5), 2, input,
"non-empty 4D or 5D (batch mode) tensor expected for input, but got: %s");
if (input->dim() == 5)
{
dimw++;
dimh++;
dimd++;
dimslices++;
}
/* sizes */
nslices = input->size(dimslices);
idepth = input->size(dimd);
iheight = input->size(dimh);
iwidth = input->size(dimw);
odepth = idepth + pfront + pback;
oheight = iheight + ptop + pbottom;
owidth = iwidth + pleft + pright;
THArgCheck(owidth >= 1 || oheight >= 1 || odepth >= 1, 2,
"input (D: %d H: %d, W: %d)is too small."
" Calculated output D: %d H: %d W: %d",
idepth, iheight, iwidth, odepth, oheight, owidth);
if (gradOutput != NULL) {
THArgCheck(nslices == THTensor_(size)(gradOutput, dimslices), 3,
"gradOutput width unexpected. Expected: %d, Got: %d",
nslices, THTensor_(size)(gradOutput, dimslices));
THArgCheck(owidth == THTensor_(size)(gradOutput, dimw), 3,
"gradOutput width unexpected. Expected: %d, Got: %d",
owidth, THTensor_(size)(gradOutput, dimw));
THArgCheck(oheight == THTensor_(size)(gradOutput, dimh), 3,
"gradOutput height unexpected. Expected: %d, Got: %d",
oheight, THTensor_(size)(gradOutput, dimh));
THArgCheck(odepth == THTensor_(size)(gradOutput, dimd), 3,
"gradOutput depth unexpected. Expected: %d, Got: %d",
odepth, THTensor_(size)(gradOutput, dimd));
}
}
static void THNN_(VolumetricReplicationPadding_updateOutput_frame)(
real *input_p, real *output_p,
int64_t nslices,
int64_t iwidth, int64_t iheight, int64_t idepth,
int64_t owidth, int64_t oheight, int64_t odepth,
int pleft, int pright,
int ptop, int pbottom,
int pfront, int pback)
{
int iStartX = fmax(0, -pleft);
int iStartY = fmax(0, -ptop);
int iStartZ = fmax(0, -pfront);
int oStartX = fmax(0, pleft);
int oStartY = fmax(0, ptop);
int oStartZ = fmax(0, pfront);
int64_t k, ip_x, ip_y, ip_z;
#pragma omp parallel for private(k, ip_x, ip_y, ip_z)
for (k = 0; k < nslices; k++) {
int64_t i, j, z;
for (z = 0; z < odepth; z++) {
for (i = 0; i < oheight; i++) {
for (j = 0; j < owidth; j++) {
if (j < pleft) {
ip_x = pleft;
} else if (j >= pleft && j < iwidth + pleft) {
ip_x = j;
} else {
ip_x = iwidth + pleft - 1;
}
ip_x = ip_x - oStartX + iStartX;
if (i < ptop) {
ip_y = ptop;
} else if (i >= ptop && i < iheight + ptop) {
ip_y = i;
} else {
ip_y = iheight + ptop - 1;
}
ip_y = ip_y - oStartY + iStartY;
if (z < pfront) {
ip_z = pfront;
} else if (z >= pfront && z < idepth + pfront) {
ip_z = z;
} else {
ip_z = idepth + pfront - 1;
}
ip_z = ip_z - oStartZ + iStartZ;
real *dest_p = output_p + k * owidth * oheight * odepth +
z * owidth * oheight + i * owidth + j;
real *src_p = input_p + k * iwidth * iheight * idepth +
ip_z * iwidth * iheight + ip_y * iwidth + ip_x;
*dest_p = *src_p;
}
}
}
}
}
void THNN_(VolumetricReplicationPadding_updateOutput)(THNNState *state,
THTensor *input,
THTensor *output,
int pleft, int pright,
int ptop, int pbottom,
int pfront, int pback)
{
int dimw = 3;
int dimh = 2;
int dimd = 1;
int dimslices = 0;
int64_t nbatch = 1;
int64_t nslices;
int64_t idepth;
int64_t iheight;
int64_t iwidth;
int64_t odepth;
int64_t oheight;
int64_t owidth;
real *input_data;
real *output_data;
THNN_(VolumetricReplicationPadding_shapeCheck)(
state, input, NULL, pleft, pright,
ptop, pbottom, pfront, pback);
if (input->dim() == 5)
{
nbatch = input->size(0);
dimw++;
dimh++;
dimd++;
dimslices++;
}
/* sizes */
nslices = input->size(dimslices);
idepth = input->size(dimd);
iheight = input->size(dimh);
iwidth = input->size(dimw);
odepth = idepth + pfront + pback;
oheight = iheight + ptop + pbottom;
owidth = iwidth + pleft + pright;
/* get contiguous input */
input = THTensor_(newContiguous)(input);
/* resize output */
if (input->dim() == 4)
{
THTensor_(resize4d)(output, nslices, odepth, oheight, owidth);
input_data = THTensor_(data)(input);
output_data = THTensor_(data)(output);
THNN_(VolumetricReplicationPadding_updateOutput_frame)(
input_data, output_data, nslices, iwidth, iheight, idepth,
owidth, oheight, odepth, pleft, pright, ptop, pbottom, pfront,
pback);
}
else
{
int64_t p;
THTensor_(resize5d)(output, nbatch, nslices, odepth, oheight, owidth);
input_data = THTensor_(data)(input);
output_data = THTensor_(data)(output);
#pragma omp parallel for private(p)
for (p = 0; p < nbatch; p++)
{
THNN_(VolumetricReplicationPadding_updateOutput_frame)(
input_data + p * nslices * iwidth * iheight * idepth,
output_data + p * nslices * owidth * oheight * odepth,
nslices,
iwidth, iheight, idepth,
owidth, oheight, odepth,
pleft, pright,
ptop, pbottom,
pfront, pback);
}
}
/* cleanup */
THTensor_(free)(input);
}
static void THNN_(VolumetricReplicationPadding_updateGradInput_frame)(
real *ginput_p, real *goutput_p,
int64_t nslices,
int64_t iwidth, int64_t iheight, int64_t idepth,
int64_t owidth, int64_t oheight, int64_t odepth,
int pleft, int pright,
int ptop, int pbottom,
int pfront, int pback)
{
int iStartX = fmax(0, -pleft);
int iStartY = fmax(0, -ptop);
int iStartZ = fmax(0, -pfront);
int oStartX = fmax(0, pleft);
int oStartY = fmax(0, ptop);
int oStartZ = fmax(0, pfront);
int64_t k, ip_x, ip_y, ip_z;
#pragma omp parallel for private(k, ip_x, ip_y, ip_z)
for (k = 0; k < nslices; k++) {
int64_t i, j, z;
for (z = 0; z < odepth; z++) {
for (i = 0; i < oheight; i++) {
for (j = 0; j < owidth; j++) {
if (j < pleft) {
ip_x = pleft;
} else if (j >= pleft && j < iwidth + pleft) {
ip_x = j;
} else {
ip_x = iwidth + pleft - 1;
}
ip_x = ip_x - oStartX + iStartX;
if (i < ptop) {
ip_y = ptop;
} else if (i >= ptop && i < iheight + ptop) {
ip_y = i;
} else {
ip_y = iheight + ptop - 1;
}
ip_y = ip_y - oStartY + iStartY;
if (z < pfront) {
ip_z = pfront;
} else if (z >= pfront && z < idepth + pfront) {
ip_z = z;
} else {
ip_z = idepth + pfront - 1;
}
ip_z = ip_z - oStartZ + iStartZ;
real *src_p = goutput_p + k * owidth * oheight * odepth +
z * owidth * oheight + i * owidth + j;
real *dest_p = ginput_p + k * iwidth * iheight * idepth +
ip_z * iwidth * iheight + ip_y * iwidth + ip_x;
*dest_p += *src_p;
}
}
}
}
}
void THNN_(VolumetricReplicationPadding_updateGradInput)(THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
int pleft, int pright,
int ptop, int pbottom,
int pfront, int pback)
{
int dimw = 3;
int dimh = 2;
int dimd = 1;
int dimslices = 0;
int64_t nbatch = 1;
int64_t nslices;
int64_t idepth;
int64_t iheight;
int64_t iwidth;
int64_t odepth;
int64_t oheight;
int64_t owidth;
if (input->dim() == 5)
{
nbatch = input->size(0);
dimw++;
dimh++;
dimd++;
dimslices++;
}
/* sizes */
nslices = input->size(dimslices);
idepth = input->size(dimd);
iheight = input->size(dimh);
iwidth = input->size(dimw);
odepth = idepth + pfront + pback;
oheight = iheight + ptop + pbottom;
owidth = iwidth + pleft + pright;
THNN_(VolumetricReplicationPadding_shapeCheck)(
state, input, NULL, pleft, pright,
ptop, pbottom, pfront, pback);
/* get contiguous gradOutput */
gradOutput = THTensor_(newContiguous)(gradOutput);
/* resize */
THTensor_(resizeAs)(gradInput, input);
THTensor_(zero)(gradInput);
/* backprop */
if (input->dim() == 4) {
THNN_(VolumetricReplicationPadding_updateGradInput_frame)(
THTensor_(data)(gradInput),
THTensor_(data)(gradOutput),
nslices,
iwidth, iheight, idepth,
owidth, oheight, odepth,
pleft, pright,
ptop, pbottom,
pfront, pback);
} else {
int64_t p;
#pragma omp parallel for private(p)
for (p = 0; p < nbatch; p++) {
THNN_(VolumetricReplicationPadding_updateGradInput_frame)(
THTensor_(data)(gradInput) + p * nslices * idepth * iheight * iwidth,
THTensor_(data)(gradOutput) + p * nslices * odepth * oheight * owidth,
nslices,
iwidth, iheight, idepth,
owidth, oheight, odepth,
pleft, pright,
ptop, pbottom,
pfront, pback);
}
}
/* cleanup */
THTensor_(free)(gradOutput);
}
#endif
|
aec_pk.c | /* This file is part of wgrib2.
* aec_pk.c
* 6/2016 copyright DWD, under GNU GPL
* 6/2016 cleanup, optimizations Wesley Ebisuzaki
*
* wgrib2 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 of the License, or
* (at your option) any later version.
*
* wgrib2 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 wgrib2. If not, see <http://www.gnu.org/licenses/>.
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdint.h>
#include <math.h>
#include <limits.h>
#include "grb2.h"
#include "wgrib2.h"
#include "fnlist.h"
#ifdef USE_AEC
#include <libaec.h>
int aec_grib_out(unsigned char ** sec, float *data, unsigned int ndata, int use_scale,
int dec_scale, int bin_scale, int wanted_bits, int max_bits, struct seq_file *out){
int err, status;
unsigned char *sec0, *sec1, *sec2 , *sec3, *sec4, *sec5, *sec6, *sec7;
unsigned int i, j, n_defined, encodedLength, nbytes;
uint32_t ccsds_flags = 0;
uint32_t ccsds_block_size = 32; /* default value */
uint32_t ccsds_rsi = 128;
float min_val, max_val;
double ref, fmin, frange, scale, dec_factor;
int nbits, ii;
struct aec_stream strm;
unsigned char *inbuffer;
/* printf("aec_grib_out: use_scale = %d dec_scale = %d bin_scale = %d wanted_bits = %d max_bits = %d " ,
use_scale, dec_scale, bin_scale, wanted_bits, max_bits ); */
/* set default flags, TODO pass flags from template */
ccsds_flags = AEC_DATA_MSB | AEC_DATA_PREPROCESS | AEC_DATA_3BYTE;
inbuffer = NULL;
/* required passed sections */
sec0 = sec[0];
sec1 = sec[1];
sec2 = sec[2];
sec3 = sec[3];
sec4 = sec[4];
/* make a sections 5-7 */
n_defined = ndata;
sec6 = mk_bms(data, &n_defined); // make bitmap section, eliminate undefined grid values
min_max_array_all_defined(data, n_defined, &min_val, &max_val);
dec_factor = 1.0;
if (use_scale == 0) {
/* ecmwf style */
fmin = min_val;
frange = max_val - fmin;
ref = fmin;
dec_scale = 0;
if (frange != 0.0) {
frexp(frange, &ii);
bin_scale = ii - wanted_bits;
nbits = wanted_bits;
scale = ldexp(1.0, -bin_scale);
frange = floor((max_val-fmin)*scale + 0.5);
frexp(frange, &ii);
if (ii != nbits) bin_scale++;
}
else {
bin_scale = nbits = 0;
scale = 1;
}
}
else {
if (dec_scale) {
dec_factor = Int_Power(10.0, -dec_scale);
min_val *= dec_factor;
max_val *= dec_factor;
#pragma omp parallel for private(j)
for (j = 0; j < n_defined; j++) {
data[j] *= dec_factor;
}
}
ref = min_val;
scale = ldexp(1.0, -bin_scale);
// ii = (int) ( (max_val - ref)*scale + 0.5);
// frange = (double) ii;
frange = floor( (max_val - ref)*scale + 0.5);
frexp(frange, &nbits);
if (nbits > max_bits) {
bin_scale += (nbits - max_bits);
nbits = max_bits;
}
}
if (bin_scale) {
scale = ldexp(1.0, -bin_scale);
#pragma omp parallel for private(j)
for (j = 0; j < n_defined; j++) {
data[j] = (data[j] - ref)*scale;
}
}
else {
#pragma omp parallel for private(j)
for (j = 0; j < n_defined; j++) {
data[j] = data[j] - ref;
}
}
if (nbits > 0 && n_defined > 0) {
nbytes = (nbits + 7) / 8;
size_t inbuflen = nbytes * (size_t) n_defined;
inbuffer = (unsigned char*) malloc(inbuflen);
if (inbuffer == NULL) fatal_error("aes_pk: memory allocation","");
unsigned long unsigned_val;
#pragma omp parallel for private(i, unsigned_val, j)
for (i=0; i < n_defined; i++){
unsigned_val = (unsigned long) floor(data[i]+0.5);
unsigned_val = unsigned_val > 0 ? unsigned_val : 0; // should not be necessary but ..
for (j = 0; j < nbytes; j++) {
inbuffer[nbytes - 1 - j + i*nbytes] = (unsigned char) (unsigned_val & 255);
unsigned_val = unsigned_val >> 8;
}
}
size_t outbuflen = 10240 + nbytes * (size_t) n_defined;
sec7 = (unsigned char *) malloc(outbuflen + 5);
if (sec7 == NULL) fatal_error("aes_pk: memory allocation","");
strm.flags = ccsds_flags;
strm.bits_per_sample = nbits;
strm.block_size = ccsds_block_size;
strm.rsi = ccsds_rsi;
strm.next_out = sec7 + 5;
strm.avail_out = outbuflen;
strm.next_in = inbuffer;
strm.avail_in = inbuflen;
/* printf("*** Packing with AEC flags: %d bits per sample: %d block size: %d rsi: %d \n", strm.flags, strm.bits_per_sample, strm.block_size, strm.rsi ); */
if((err = aec_buffer_encode(&strm)) != AEC_OK) fatal_error_i("aec_buffer_encode %d", err);
/* printf("*** after aec_buffer_encode() of %d bytes input, strm.avail_in: %d strm.total_in: %d\n" , inbuflen, strm.avail_in, strm.total_in); */
encodedLength = strm.total_out;
}
else {
ref = min_val / dec_factor;
bin_scale = dec_scale = 0;
encodedLength = 0;
sec7 = (unsigned char *) malloc(5);
if (sec7 == NULL) fatal_error("aes_pk: memory allocation","");
}
size_t sec5size = 25;
sec5 = (unsigned char *) malloc(sec5size * sizeof(unsigned char));
if (sec5 == NULL) fatal_error("aes_pk: memory allocation","");
uint_char(sec5size * sizeof (unsigned char), sec5);
sec5[4] = 5; // section 5
uint_char(n_defined, sec5+5); // number of points
uint2_char(42,sec5+9); // data template 42 - AEC
flt2ieee(ref,sec5+11); // reference value
int2_char(bin_scale,sec5+15); // binary scaling
int2_char(-dec_scale,sec5+17); // decimal scaling
sec5[19] = nbits;
sec5[20] = 0; // 0 - float 1=int
sec5[21] = ccsds_flags;
sec5[22] = ccsds_block_size;
uint2_char((unsigned int) ccsds_rsi, sec5+23);
uint_char(encodedLength+5, sec7);
sec7[4] = 7; // section 7
status = wrt_sec(sec0, sec1, sec2, sec3, sec4, sec5, sec6, sec7, out);
free(sec5);
free(sec6);
free(sec7);
if(inbuffer) free(inbuffer);
return status;
}
#endif
|
matMult_neon.c | /*
* File: saxpy.c
* Author: Malcolm Davis
* Course: Computer Architecture II
* Created on May 12, 2018
* Simple matrix multiplication with OpenMP + NEON
*
* Ussage:
* ./argv[0] for default parameters and random vectors or;
* ./argv[0] <m matrix 1 size> <n matrix 1 size> <m matrix 2 size> <n matrix 2 size>
*/
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include <unistd.h>
#include <omp.h>
#include <arm_neon.h>
#define INT_RAND_MAX 10000
#define MATRIX_SIZE_M 1000
#define MATRIX_SIZE_N 1000
#define MATRIX_SIZE_P 1000
#define MATRIX_SIZE_Q 1000
typedef struct intMatrix{
int16_t * data;
long nrows;
long ncols;
} intMatrix;
void generateMatrix(struct intMatrix* mat);
void printMatrix(struct intMatrix* mat);
void matMult(struct intMatrix* A, struct intMatrix* B, struct intMatrix* C);
/*
* Main method, retrive command line options, create the threads
*/
int main(int argc, char const *argv[])
{
const int printMatrixB = getenv("PRINT_MATRIX") ? 1 : 0;
double start_time, run_time;
srand(time(NULL));
// If the vector size is inserted then use it if not then use the default
long m = argc > 1 && atol(argv[1]) > 0 ? atol(argv[1]) : MATRIX_SIZE_M;
long n = argc > 2 && atol(argv[2]) > 0 ? atol(argv[2]) : MATRIX_SIZE_N;
long p = argc > 3 && atol(argv[3]) > 0 ? atol(argv[3]) : MATRIX_SIZE_P;
long q = argc > 4 && atol(argv[4]) > 0 ? atol(argv[4]) : MATRIX_SIZE_Q;
if(n!=q){
printf("Incompatible matrix sizes %ldx%ld and %ldx%ld", m,n,p,q);
return -1;
}
// Allocate memory for the Matrix
struct intMatrix A;
struct intMatrix B;
struct intMatrix C;
A.data = (int16_t*)malloc(sizeof(int16_t)*m*n);
A.nrows = m;
A.ncols = n;
B.data = (int16_t*)malloc(sizeof(int16_t)*p*q);
B.nrows = p;
B.ncols = q;
C.data = (int16_t*)calloc(m*q,sizeof(int16_t));
C.nrows = m;
C.ncols = q;
// Generate random Matrix
generateMatrix(&A);
generateMatrix(&B);
// Print the Matrix
if(printMatrixB){
printf("----C=A*B----\n");
printf("A: ");
printMatrix(&A);
printf("B: ");
printMatrix(&B);
}
//Do the actual matMult and take the time
start_time = omp_get_wtime();
matMult(&A, &B, &C);
run_time = omp_get_wtime() - start_time;
//Print the result
if(printMatrixB){
printf("C: ");
printMatrix(&C);
}
printf("Size(NXM) %ld Seconds(s) %f \n", q*n, run_time);
// Free the allocated memmory
free(A.data);
free(B.data);
free(C.data);
return 0;
}
/*
* matMult Function C = A*B
* @param C the return matrix
* @param A a matrix of ints
* @param B a matrix of ints
*/
void matMult(struct intMatrix* A, struct intMatrix* B, struct intMatrix* C){
long i, j, k;
double sum = 0;
#ifdef PARALLEL
#pragma omp parallel for private(i,j,k, sum) shared(A, B, C)
#endif
for (i = 0; i < A->nrows; i++) {
for (j = 0; j < B->ncols; j++) {
for (k = 0; k < B->nrows; k++) {
sum = sum + A->data[i*A->nrows+k]*B->data[k*B->nrows+j];
}
C->data[i*C->nrows+j] = sum;
sum = 0;
}
}
}
/*
* Function that fills a vector of size "size" with random numbers
* @param (INPUT)size the length of the vector
* @param (OUTPUT)vector the place where the data will be stored.
*/
void generateMatrix(struct intMatrix* matrix){
long i, j;
#ifdef PARALLEL
#pragma omp parallel for private(i, j) shared(matrix)
#endif
for(i=0; i < matrix->nrows; i++){
for(j=0; j < matrix->ncols; j++){
matrix->data[i*matrix->nrows+j] = (int16_t)ceil(((double)rand()/(double)(RAND_MAX)) * INT_RAND_MAX);
}
}
}
/*
* Function that prints a vector on screen
* @param (INPUT)size the length of the vector
* @param (INPUT)vector the place where the data will be stored.
*/
void printMatrix(struct intMatrix* matrix){
for(long i=0; i < matrix->nrows; i++){
printf("[");
for(long j=0; j < matrix->ncols; j++){
printf(" %hd ", matrix->data[i*matrix->nrows+j]);
}
printf("]\n");
}
} |
GeometryConverter.h | /* -*-c++-*- IfcQuery www.ifcquery.com
*
MIT License
Copyright (c) 2017 Fabian Gerold
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
#pragma once
#include <unordered_set>
#include <ifcpp/model/BasicTypes.h>
#include <ifcpp/model/BuildingModel.h>
#include <ifcpp/model/OpenMPIncludes.h>
#include <ifcpp/model/StatusCallback.h>
#include <ifcpp/IFC4/include/IfcCurtainWall.h>
#include <ifcpp/IFC4/include/IfcGloballyUniqueId.h>
#include <ifcpp/IFC4/include/IfcPropertySetDefinitionSet.h>
#include <ifcpp/IFC4/include/IfcRelAggregates.h>
#include <ifcpp/IFC4/include/IfcRelContainedInSpatialStructure.h>
#include <ifcpp/IFC4/include/IfcRelDefinesByProperties.h>
#include <ifcpp/IFC4/include/IfcSpace.h>
#include <ifcpp/IFC4/include/IfcWindow.h>
#include "IncludeCarveHeaders.h"
#include "GeometryInputData.h"
#include "RepresentationConverter.h"
#include "CSG_Adapter.h"
class GeometryConverter : public StatusCallback
{
protected:
shared_ptr<BuildingModel> m_ifc_model;
shared_ptr<GeometrySettings> m_geom_settings;
shared_ptr<RepresentationConverter> m_representation_converter;
std::map<std::string, shared_ptr<ProductShapeData> > m_product_shape_data;
std::map<std::string, shared_ptr<BuildingObject> > m_map_outside_spatial_structure;
double m_recent_progress = 0;
double m_csg_eps = 1.5e-05;
std::map<int, std::vector<shared_ptr<StatusCallback::Message> > > m_messages;
#ifdef ENABLE_OPENMP
Mutex m_writelock_messages;
#endif
public:
// getters and setters
shared_ptr<BuildingModel>& getBuildingModel() { return m_ifc_model; }
shared_ptr<RepresentationConverter>& getRepresentationConverter() { return m_representation_converter; }
shared_ptr<GeometrySettings>& getGeomSettings() { return m_geom_settings; }
std::map<std::string, shared_ptr<ProductShapeData> >& getShapeInputData() { return m_product_shape_data; }
std::map<std::string, shared_ptr<BuildingObject> >& getObjectsOutsideSpatialStructure() { return m_map_outside_spatial_structure; }
GeometryConverter( shared_ptr<BuildingModel>& ifc_model )
{
m_ifc_model = ifc_model;
m_geom_settings = shared_ptr<GeometrySettings>( new GeometrySettings() );
resetNumVerticesPerCircle();
shared_ptr<UnitConverter>& unit_converter = m_ifc_model->getUnitConverter();
m_representation_converter = shared_ptr<RepresentationConverter>( new RepresentationConverter( m_geom_settings, unit_converter ) );
// redirect all messages to this->messageTarget
m_ifc_model->setMessageTarget( this );
m_representation_converter->setMessageTarget( this );
}
virtual ~GeometryConverter() {}
void resetModel()
{
progressTextCallback( L"Unloading model, cleaning up memory..." );
clearInputCache();
m_recent_progress = 0.0;
m_ifc_model->clearCache();
m_ifc_model->clearIfcModel();
progressTextCallback( L"Unloading model done" );
progressValueCallback( 0.0, "parse" );
#ifdef _DEBUG
GeomDebugDump::clearMeshsetDump();
#endif
}
void clearInputCache()
{
m_product_shape_data.clear();
m_map_outside_spatial_structure.clear();
m_representation_converter->clearCache();
m_messages.clear();
}
void resetNumVerticesPerCircle()
{
m_geom_settings->resetNumVerticesPerCircle();
}
void setCsgEps(double eps)
{
m_csg_eps = eps;
}
void setModel( shared_ptr<BuildingModel> model )
{
if( m_ifc_model )
{
m_ifc_model->unsetMessageCallBack();
}
clearInputCache();
m_ifc_model = model;
m_representation_converter->clearCache();
m_representation_converter->setUnitConverter( m_ifc_model->getUnitConverter() );
m_ifc_model->setMessageTarget( this );
}
void resolveProjectStructure( shared_ptr<ProductShapeData>& product_data )
{
if( !product_data )
{
return;
}
if( product_data->m_ifc_object_definition.expired() )
{
return;
}
shared_ptr<IfcObjectDefinition> ifc_object_def(product_data->m_ifc_object_definition);
if (!ifc_object_def)
{
return;
}
product_data->m_added_to_spatial_structure = true;
const std::vector<weak_ptr<IfcRelAggregates> >& vec_IsDecomposedBy = ifc_object_def->m_IsDecomposedBy_inverse;
for( size_t ii = 0; ii < vec_IsDecomposedBy.size(); ++ii )
{
const weak_ptr<IfcRelAggregates>& rel_aggregates_weak_ptr = vec_IsDecomposedBy[ii];
if( rel_aggregates_weak_ptr.expired() )
{
continue;
}
shared_ptr<IfcRelAggregates> rel_aggregates( rel_aggregates_weak_ptr );
if( rel_aggregates )
{
const std::vector<shared_ptr<IfcObjectDefinition> >& vec_related_objects = rel_aggregates->m_RelatedObjects;
for( size_t jj = 0; jj < vec_related_objects.size(); ++jj )
{
const shared_ptr<IfcObjectDefinition>& related_obj_def = vec_related_objects[jj];
if( related_obj_def )
{
std::string related_guid;
if (related_obj_def->m_GlobalId)
{
std::wstring_convert<std::codecvt_utf8<wchar_t>, wchar_t> converterX;
related_guid = converterX.to_bytes(related_obj_def->m_GlobalId->m_value);
}
auto it_product_map = m_product_shape_data.find(related_guid);
if( it_product_map != m_product_shape_data.end() )
{
shared_ptr<ProductShapeData>& related_product_shape = it_product_map->second;
if( related_product_shape )
{
product_data->addChildProduct( related_product_shape, product_data );
resolveProjectStructure( related_product_shape );
}
}
}
}
}
}
shared_ptr<IfcSpatialStructureElement> spatial_ele = dynamic_pointer_cast<IfcSpatialStructureElement>(ifc_object_def);
if( spatial_ele )
{
const std::vector<weak_ptr<IfcRelContainedInSpatialStructure> >& vec_contains = spatial_ele->m_ContainsElements_inverse;
for( size_t ii = 0; ii < vec_contains.size(); ++ii )
{
const weak_ptr<IfcRelContainedInSpatialStructure>& rel_contained_weak_ptr = vec_contains[ii];
if( rel_contained_weak_ptr.expired() )
{
continue;
}
shared_ptr<IfcRelContainedInSpatialStructure> rel_contained( rel_contained_weak_ptr );
if( rel_contained )
{
const std::vector<shared_ptr<IfcProduct> >& vec_related_elements = rel_contained->m_RelatedElements;
for( size_t jj = 0; jj < vec_related_elements.size(); ++jj )
{
const shared_ptr<IfcProduct>& related_product = vec_related_elements[jj];
if( related_product )
{
std::string related_guid;
if (related_product->m_GlobalId)
{
std::wstring_convert<std::codecvt_utf8<wchar_t>, wchar_t> converterX;
related_guid = converterX.to_bytes(related_product->m_GlobalId->m_value);
}
auto it_product_map = m_product_shape_data.find(related_guid);
if( it_product_map != m_product_shape_data.end() )
{
shared_ptr<ProductShapeData>& related_product_shape = it_product_map->second;
if( related_product_shape )
{
product_data->addChildProduct( related_product_shape, product_data );
resolveProjectStructure( related_product_shape );
}
}
}
}
}
}
}
// TODO: handle IfcRelAssignsToProduct
}
void readAppearanceFromPropertySet( const shared_ptr<IfcPropertySet>& prop_set, shared_ptr<ProductShapeData>& product_shape )
{
if( !prop_set )
{
return;
}
for( auto& ifc_property : prop_set->m_HasProperties )
{
if( !ifc_property )
{
continue;
}
shared_ptr<IfcSimpleProperty> simple_property = dynamic_pointer_cast<IfcSimpleProperty>(ifc_property);
if( simple_property )
{
// ENTITY IfcSimpleProperty ABSTRACT SUPERTYPE OF(ONEOF( IfcPropertyBoundedValue, IfcPropertyEnumeratedValue, IfcPropertyListValue,
// IfcPropertyReferenceValue, IfcPropertySingleValue, IfcPropertyTableValue))
shared_ptr<IfcIdentifier> property_name = simple_property->m_Name;
std::wstring name_str = property_name->m_value;
if( name_str.compare( L"LayerName" ) == 0 )
{
// TODO: implement layers
}
shared_ptr<IfcText> description = simple_property->m_Description;
shared_ptr<IfcPropertySingleValue> property_single_value = dynamic_pointer_cast<IfcPropertySingleValue>(simple_property);
if( property_single_value )
{
//shared_ptr<IfcValue>& nominal_value = property_single_value->m_NominalValue; //optional
//shared_ptr<IfcUnit>& unit = property_single_value->m_Unit; //optional
}
continue;
}
shared_ptr<IfcComplexProperty> complex_property = dynamic_pointer_cast<IfcComplexProperty>(ifc_property);
if( complex_property )
{
if( !complex_property->m_UsageName ) continue;
if( complex_property->m_UsageName->m_value.compare( L"Color" ) == 0 )
{
vec4 vec_color;
m_representation_converter->getStylesConverter()->convertIfcComplexPropertyColor( complex_property, vec_color );
shared_ptr<AppearanceData> appearance_data( new AppearanceData( -1 ) );
if( !appearance_data )
{
throw OutOfMemoryException( __FUNC__ );
}
appearance_data->m_apply_to_geometry_type = AppearanceData::GEOM_TYPE_ANY;
appearance_data->m_color_ambient.setColor( vec_color );
appearance_data->m_color_diffuse.setColor( vec_color );
appearance_data->m_color_specular.setColor( vec_color );
appearance_data->m_shininess = 35.f;
product_shape->addAppearance( appearance_data );
}
}
}
}
/*\brief method convertGeometry: Creates geometry for Carve from previously loaded BuildingModel model.
**/
void convertGeometry()
{
progressTextCallback( L"Creating geometry..." );
progressValueCallback( 0, "geometry" );
m_product_shape_data.clear();
m_map_outside_spatial_structure.clear();
m_representation_converter->clearCache();
if( !m_ifc_model )
{
return;
}
shared_ptr<ProductShapeData> ifc_project_data;
std::vector<shared_ptr<IfcObjectDefinition> > vec_object_definitions;
double length_to_meter_factor = 1.0;
if( m_ifc_model->getUnitConverter() )
{
length_to_meter_factor = m_ifc_model->getUnitConverter()->getLengthInMeterFactor();
}
carve::setEpsilon( m_csg_eps );
const std::map<int, shared_ptr<BuildingEntity> >& map_entities = m_ifc_model->getMapIfcEntities();
if (map_entities.size() > 0)
{
for (auto it = map_entities.begin(); it != map_entities.end(); ++it)
{
shared_ptr<BuildingEntity> obj = it->second;
if (obj)
{
shared_ptr<IfcObjectDefinition> object_def = dynamic_pointer_cast<IfcObjectDefinition>(obj);
if (object_def)
{
vec_object_definitions.push_back(object_def);
}
}
}
}
// create geometry for for each IfcProduct independently, spatial structure will be resolved later
std::map<std::string, shared_ptr<ProductShapeData> >* map_products_ptr = &m_product_shape_data;
const int num_object_definitions = (int)vec_object_definitions.size();
#ifdef ENABLE_OPENMP
Mutex writelock_map;
Mutex writelock_ifc_project;
#pragma omp parallel firstprivate(num_object_definitions) shared(map_products_ptr)
{
// time for one product may vary significantly, so schedule not so many
#pragma omp for schedule(dynamic,40)
#endif
for( int i = 0; i < num_object_definitions; ++i )
{
shared_ptr<IfcObjectDefinition> object_def = vec_object_definitions[i];
const int entity_id = object_def->m_entity_id;
std::string guid;
if (object_def->m_GlobalId)
{
std::wstring_convert<std::codecvt_utf8<wchar_t>, wchar_t> converterX;
guid = converterX.to_bytes(object_def->m_GlobalId->m_value);
}
shared_ptr<ProductShapeData> product_geom_input_data( new ProductShapeData( entity_id ) );
product_geom_input_data->m_ifc_object_definition = object_def;
// TODO: check for equal product shapes: each representation and each item must be equal, also openings must be equal: m_HasOpenings_inverse
std::stringstream thread_err;
if( !m_geom_settings->getRenderObjectFilter()(object_def) )
{
// geometry will be created in method subtractOpenings
continue;
}
else if( dynamic_pointer_cast<IfcProject>(object_def) )
{
#ifdef ENABLE_OPENMP
ScopedLock scoped_lock( writelock_ifc_project );
#endif
ifc_project_data = product_geom_input_data;
}
try
{
convertIfcProductShape( product_geom_input_data );
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
thread_err << e.what();
}
catch( carve::exception& e )
{
thread_err << e.str();
}
catch( std::exception& e )
{
thread_err << e.what();
}
catch( ... )
{
thread_err << "undefined error, product id " << entity_id;
}
{
#ifdef ENABLE_OPENMP
ScopedLock scoped_lock( writelock_map );
#endif
map_products_ptr->insert( std::make_pair( guid, product_geom_input_data ) );
if( thread_err.tellp() > 0 )
{
messageCallback( thread_err.str().c_str(), StatusCallback::MESSAGE_TYPE_ERROR, __FUNC__ );
}
}
// progress callback
double progress = (double)i / (double)num_object_definitions;
if( progress - m_recent_progress > 0.02 )
{
#ifdef ENABLE_OPENMP
if( omp_get_thread_num() == 0 )
#endif
{
// leave 10% of progress to openscenegraph internals
progressValueCallback( progress*0.9, "geometry" );
m_recent_progress = progress;
}
}
}
#ifdef ENABLE_OPENMP
} // implicit barrier
#endif
// subtract openings in related objects, such as IFCBUILDINGELEMENTPART connected to a window through IFCRELAGGREGATES
for( auto it = map_products_ptr->begin(); it != map_products_ptr->end(); ++it )
{
shared_ptr<ProductShapeData> product_geom_input_data = it->second;
try
{
subtractOpeningsInRelatedObjects(product_geom_input_data);
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
messageCallback(e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "");
}
catch( carve::exception& e )
{
messageCallback(e.str(), StatusCallback::MESSAGE_TYPE_ERROR, "");
}
catch( std::exception& e )
{
messageCallback(e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "");
}
catch( ... )
{
messageCallback("undefined error", StatusCallback::MESSAGE_TYPE_ERROR, __FUNC__);
}
}
try
{
// now resolve spatial structure
if( ifc_project_data )
{
resolveProjectStructure( ifc_project_data );
}
// check if there are entities that are not in spatial structure
for( auto it_product_shapes = m_product_shape_data.begin(); it_product_shapes != m_product_shape_data.end(); ++it_product_shapes )
{
shared_ptr<ProductShapeData> product_shape = it_product_shapes->second;
if( !product_shape )
{
continue;
}
if( !product_shape->m_added_to_spatial_structure )
{
if( !product_shape->m_ifc_object_definition.expired() )
{
shared_ptr<IfcObjectDefinition> ifc_object_def( product_shape->m_ifc_object_definition );
shared_ptr<IfcFeatureElementSubtraction> opening = dynamic_pointer_cast<IfcFeatureElementSubtraction>(ifc_object_def);
if( !m_geom_settings->getRenderObjectFilter()(ifc_object_def) )
{
continue;
}
std::string guid;
if (ifc_object_def->m_GlobalId)
{
std::wstring_convert<std::codecvt_utf8<wchar_t>, wchar_t> converterX;
guid = converterX.to_bytes(ifc_object_def->m_GlobalId->m_value);
}
m_map_outside_spatial_structure[guid] = ifc_object_def;
}
}
}
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
catch( std::exception& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
catch( ... )
{
messageCallback( "undefined error", StatusCallback::MESSAGE_TYPE_ERROR, __FUNC__ );
}
m_representation_converter->getProfileCache()->clearProfileCache();
progressTextCallback( L"Loading file done" );
progressValueCallback( 1.0, "geometry" );
}
//\brief method convertIfcProduct: Creates geometry objects (meshset with connected vertex-edge-face graph) from an IfcProduct object
// caution: when using OpenMP, this method runs in parallel threads, so every write access to member variables needs a write lock
void convertIfcProductShape( shared_ptr<ProductShapeData>& product_shape )
{
if( product_shape->m_ifc_object_definition.expired() )
{
return;
}
shared_ptr<IfcObjectDefinition> ifc_object_def(product_shape->m_ifc_object_definition);
shared_ptr<IfcProduct> ifc_product = dynamic_pointer_cast<IfcProduct>(ifc_object_def);
if (!ifc_product)
{
return;
}
if( !ifc_product->m_Representation )
{
return;
}
double length_factor = 1.0;
if( m_ifc_model )
{
if( m_ifc_model->getUnitConverter() )
{
length_factor = m_ifc_model->getUnitConverter()->getLengthInMeterFactor();
}
}
// evaluate IFC geometry
shared_ptr<IfcProductRepresentation>& product_representation = ifc_product->m_Representation;
std::vector<shared_ptr<IfcRepresentation> >& vec_representations = product_representation->m_Representations;
for( size_t i_representations = 0; i_representations < vec_representations.size(); ++i_representations )
{
const shared_ptr<IfcRepresentation>& representation = vec_representations[i_representations];
if( !representation )
{
continue;
}
try
{
shared_ptr<RepresentationData> representation_data( new RepresentationData() );
m_representation_converter->convertIfcRepresentation( representation, representation_data );
product_shape->m_vec_representations.push_back( representation_data );
representation_data->m_parent_product = product_shape;
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
catch( std::exception& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
}
// IfcProduct has an ObjectPlacement that can be local or global
product_shape->m_object_placement = ifc_product->m_ObjectPlacement;
if( ifc_product->m_ObjectPlacement )
{
// IfcPlacement2Matrix follows related placements in case of local coordinate systems
std::unordered_set<IfcObjectPlacement*> placement_already_applied;
m_representation_converter->getPlacementConverter()->convertIfcObjectPlacement( ifc_product->m_ObjectPlacement, product_shape, placement_already_applied, false );
}
// handle openings
std::vector<shared_ptr<ProductShapeData> > vec_opening_data;
const shared_ptr<IfcElement> ifc_element = dynamic_pointer_cast<IfcElement>(ifc_product);
if( ifc_element )
{
m_representation_converter->subtractOpenings(ifc_element, product_shape);
}
// Fetch the IFCProduct relationships
if( ifc_product->m_IsDefinedBy_inverse.size() > 0 )
{
std::vector<weak_ptr<IfcRelDefinesByProperties> >& vec_IsDefinedBy_inverse = ifc_product->m_IsDefinedBy_inverse;
for( size_t i = 0; i < vec_IsDefinedBy_inverse.size(); ++i )
{
shared_ptr<IfcRelDefinesByProperties> rel_def( vec_IsDefinedBy_inverse[i] );
shared_ptr<IfcPropertySetDefinitionSelect> relating_property_definition_select = rel_def->m_RelatingPropertyDefinition;
if( relating_property_definition_select )
{
// TYPE IfcPropertySetDefinitionSelect = SELECT (IfcPropertySetDefinition ,IfcPropertySetDefinitionSet);
shared_ptr<IfcPropertySetDefinition> property_set_def = dynamic_pointer_cast<IfcPropertySetDefinition>(relating_property_definition_select);
if( property_set_def )
{
shared_ptr<IfcPropertySet> property_set = dynamic_pointer_cast<IfcPropertySet>(property_set_def);
if( property_set )
{
readAppearanceFromPropertySet( property_set, product_shape );
}
continue;
}
shared_ptr<IfcPropertySetDefinitionSet> property_set_def_set = dynamic_pointer_cast<IfcPropertySetDefinitionSet>(relating_property_definition_select);
if( property_set_def_set )
{
std::vector<shared_ptr<IfcPropertySetDefinition> >& vec_propterty_set_def = property_set_def_set->m_vec;
std::vector<shared_ptr<IfcPropertySetDefinition> >::iterator it_property_set_def;
for( it_property_set_def = vec_propterty_set_def.begin(); it_property_set_def != vec_propterty_set_def.end(); ++it_property_set_def )
{
shared_ptr<IfcPropertySetDefinition> property_set_def2 = (*it_property_set_def);
if( property_set_def2 )
{
shared_ptr<IfcPropertySet> property_set = dynamic_pointer_cast<IfcPropertySet>(property_set_def2);
if( property_set )
{
readAppearanceFromPropertySet( property_set, product_shape );
}
}
}
continue;
}
}
}
}
}
void subtractOpeningsInRelatedObjects(shared_ptr<ProductShapeData>& product_shape)
{
if( product_shape->m_ifc_object_definition.expired() )
{
return;
}
shared_ptr<IfcObjectDefinition> ifc_object_def(product_shape->m_ifc_object_definition);
shared_ptr<IfcProduct> ifc_product = dynamic_pointer_cast<IfcProduct>(ifc_object_def);
if (!ifc_product)
{
return;
}
shared_ptr<IfcElement> ifc_element = dynamic_pointer_cast<IfcElement>(ifc_product);
if( !ifc_element )
{
return;
}
if( ifc_element->m_HasOpenings_inverse.size() == 0 )
{
return;
}
// collect aggregated objects
const std::vector<weak_ptr<IfcRelAggregates> >& vec_decomposed_by = ifc_element->m_IsDecomposedBy_inverse;
for( auto& decomposed_by : vec_decomposed_by )
{
if( decomposed_by.expired() )
{
continue;
}
shared_ptr<IfcRelAggregates> decomposed_by_aggregates(decomposed_by);
std::vector<shared_ptr<IfcObjectDefinition> >& vec_related_objects = decomposed_by_aggregates->m_RelatedObjects;
for( auto& related_object : vec_related_objects )
{
if( !related_object )
{
continue;
}
std::string guid;
if (related_object->m_GlobalId)
{
std::wstring_convert<std::codecvt_utf8<wchar_t>, wchar_t> converterX;
guid = converterX.to_bytes(related_object->m_GlobalId->m_value);
auto it_find_related_shape = m_product_shape_data.find(guid);
if( it_find_related_shape != m_product_shape_data.end() )
{
shared_ptr<ProductShapeData>& related_product_shape = it_find_related_shape->second;
m_representation_converter->subtractOpenings(ifc_element, related_product_shape);
}
}
}
}
}
virtual void messageTarget( void* ptr, shared_ptr<StatusCallback::Message> m )
{
GeometryConverter* myself = (GeometryConverter*)ptr;
if( myself )
{
if( m->m_entity )
{
#ifdef ENABLE_OPENMP
ScopedLock lock( myself->m_writelock_messages );
#endif
// make sure that the same message for one entity does not appear several times
const int entity_id = m->m_entity->m_entity_id;
auto it = myself->m_messages.find( entity_id );
if( it != myself->m_messages.end() )
{
std::vector<shared_ptr<StatusCallback::Message> >& vec_message_for_entity = it->second;
for( size_t i = 0; i < vec_message_for_entity.size(); ++i )
{
shared_ptr<StatusCallback::Message>& existing_message = vec_message_for_entity[i];
if( existing_message->m_message_text.compare( m->m_message_text ) == 0 )
{
// same message for same entity is already there, so ignore message
return;
}
}
vec_message_for_entity.push_back( m );
}
else
{
std::vector<shared_ptr<StatusCallback::Message> >& vec = myself->m_messages.insert( std::make_pair( entity_id, std::vector<shared_ptr<StatusCallback::Message> >() ) ).first->second;
vec.push_back( m );
}
}
myself->messageCallback( m );
}
}
};
|
alt_veclib.c |
#include <stdio.h>
#include <omp.h>
int main(void) {
int isHost = 1;
#pragma omp target map(tofrom: isHost)
{
isHost = omp_is_initial_device();
printf("Hello world. %d\n", 100);
for (int i =0; i<5; i++) {
printf("Hello world. iteration %d\n", i);
}
}
printf("Target region executed on the %s\n", isHost ? "host" : "device");
return isHost;
}
|
thapi.c | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "thnets.h"
static int lasterror, longsize = 8;
#ifdef CUDNN
int cuda_maphostmem;
#endif
THFloatTensor *forward(struct network *net, THFloatTensor *in)
{
int i;
for(i = 0; i < net->nelem; i++)
{
in = net->modules[i].updateOutput(&net->modules[i], in);
//printf("%d) %d %d %ld %ld %ld %ld\n", i+1, net->modules[i].type, in->nDimension, in->size[0], in->size[1], in->size[2], in->size[3]);
}
return in;
}
THNETWORK *THLoadNetwork(const char *path)
{
char tmppath[255];
int i;
THNETWORK *net = calloc(1, sizeof(*net));
sprintf(tmppath, "%s/model.net", path);
net->netobj = malloc(sizeof(*net->netobj));
lasterror = loadtorch(tmppath, net->netobj, longsize);
if(lasterror)
{
free(net->netobj);
free(net);
return 0;
}
//printobject(net->netobj, 0);
net->net = Object2Network(net->netobj);
if(!net->net)
{
lasterror = ERR_WRONGOBJECT;
freeobject(net->netobj);
free(net->netobj);
free(net);
return 0;
}
sprintf(tmppath, "%s/stat.t7", path);
net->statobj = malloc(sizeof(*net->statobj));
lasterror = loadtorch(tmppath, net->statobj, longsize);
if(lasterror)
{
free(net->statobj);
freenetwork(net->net);
freeobject(net->netobj);
free(net->netobj);
free(net);
return 0;
}
if(net->statobj->type != TYPE_TABLE || net->statobj->table->nelem != 2)
{
lasterror = ERR_WRONGOBJECT;
freenetwork(net->net);
freeobject(net->netobj);
free(net->netobj);
freeobject(net->statobj);
free(net->statobj);
free(net);
}
net->std[0] = net->std[1] = net->std[2] = 1;
net->mean[0] = net->mean[1] = net->mean[2] = 0;
for(i = 0; i < net->statobj->table->nelem; i++)
if(net->statobj->table->records[i].name.type == TYPE_STRING)
{
if(!strcmp(net->statobj->table->records[i].name.string.data, "mean"))
memcpy(net->mean, net->statobj->table->records[i].value.tensor->storage->data, sizeof(net->mean));
else if(!strcmp(net->statobj->table->records[i].name.string.data, "std"))
memcpy(net->std, net->statobj->table->records[i].value.tensor->storage->data, sizeof(net->std));
}
return net;
}
void THInit()
{
#if defined CUDNN && defined USECUDAHOSTALLOC
static int init;
if(init)
return;
init = 1;
// cuda_maphostmem = 1 requires that memory was allocated with cudaHostAlloc
// cuda_maphostmem = 2 will work with malloc, but Tegra TX1 does not support cudaHostRegister with cudaHostRegisterMapped
struct cudaDeviceProp prop;
cudaGetDeviceProperties(&prop, 0);
if(prop.canMapHostMemory)
{
errcheck(cudaSetDeviceFlags(cudaDeviceMapHost));
cuda_maphostmem = 1;
}
#endif
}
int THProcessFloat(THNETWORK *network, float *data, int batchsize, int width, int height, float **result, int *outwidth, int *outheight)
{
int b, c, i;
THFloatTensor *t = THFloatTensor_new();
THFloatTensor *out;
t->nDimension = 4;
t->size[0] = batchsize;
t->size[1] = 3;
t->size[2] = height;
t->size[3] = width;
t->stride[0] = 3 * width * height;
t->stride[1] = width * height;
t->stride[2] = width;
t->stride[3] = 1;
t->storage = THFloatStorage_newwithbuffer((float *)data);
#pragma omp parallel for private(b)
for(b = 0; b < batchsize; b++)
for(c = 0; c < 3; c++)
for(i = 0; i < width*height; i++)
data[b * t->stride[0] + c * t->stride[1] + i] =
(data[b * t->stride[0] + c * t->stride[1] + i] - network->mean[c]) / network->std[c];
#ifdef CUDNN
if(network->net->cuda)
{
THFloatTensor *t2 = THCudaTensor_newFromFloatTensor(t);
out = forward(network->net, t2);
THFloatTensor_free(t2);
if(network->out)
THFloatTensor_free(network->out);
network->out = THFloatTensor_newFromCudaTensor(out);
out = network->out;
} else
#endif
out = forward(network->net, t);
THFloatTensor_free(t);
*result = out->storage->data;
if(out->nDimension >= 3)
{
*outwidth = out->size[out->nDimension - 1];
*outheight = out->size[out->nDimension - 2];
} else *outwidth = *outheight = 1;
return THFloatTensor_nElement(out);
}
#define BYTE2FLOAT 0.003921568f // 1/255
void rgb2float(float *dst, const unsigned char *src, int width, int height, int srcstride, const float *mean, const float *std)
{
int c, i, j;
for(c = 0; c < 3; c++)
for(i = 0; i < height; i++)
for(j = 0; j < width; j++)
dst[j + (i + c * height) * width] = (src[c + 3*j + srcstride*i] * BYTE2FLOAT - mean[c]) / std[c];
}
int THProcessImages(THNETWORK *network, unsigned char **images, int batchsize, int width, int height, int stride, float **results, int *outwidth, int *outheight)
{
int i;
THFloatTensor *out;
THFloatStorage *st;
#ifdef CUDNN
if(network->net->cuda)
{
#ifdef HAVEFP16
if(floattype == CUDNN_DATA_HALF)
{
st = THCudaStorage_new(batchsize * ((width * height * 3 + 1) / 2));
for(i = 0; i < batchsize; i++)
cuda_rgb2half(st->data + i * ((width * height * 3 + 1) / 2), images[i], width, height, stride, network->mean, network->std);
} else
#endif
{
st = THCudaStorage_new(batchsize * width * height * 3);
for(i = 0; i < batchsize; i++)
cuda_rgb2float(st->data + i * width * height * 3, images[i], width, height, stride, network->mean, network->std);
}
} else
#endif
{
st = THFloatStorage_new(batchsize * width * height * 3);
#pragma omp parallel for private(i)
for(i = 0; i < batchsize; i++)
rgb2float(st->data + i * width * height * 3, images[i], width, height, stride, network->mean, network->std);
}
THFloatTensor *t = THFloatTensor_new();
t->storage = st;
if(batchsize == 1)
{
t->nDimension = 3;
t->size[0] = 3;
t->size[1] = height;
t->size[2] = width;
t->stride[0] = width * height;
t->stride[1] = width;
t->stride[2] = 1;
} else {
t->nDimension = 4;
t->size[0] = batchsize;
t->size[1] = 3;
t->size[2] = height;
t->size[3] = width;
t->stride[0] = 3 * width * height;
t->stride[1] = width * height;
t->stride[2] = width;
t->stride[3] = 1;
}
#ifdef CUDNN
if(network->net->cuda)
{
out = forward(network->net, t);
if(network->out)
THFloatTensor_free(network->out);
#ifdef HAVEFP16
if(floattype == CUDNN_DATA_HALF)
network->out = THFloatTensor_newFromHalfCudaTensor(out);
else
#endif
network->out = THFloatTensor_newFromCudaTensor(out);
out = network->out;
} else
#endif
out = forward(network->net, t);
THFloatTensor_free(t);
*results = out->storage->data;
if(out->nDimension >= 3)
{
*outwidth = out->size[out->nDimension - 1];
*outheight = out->size[out->nDimension - 2];
} else *outwidth = *outheight = 1;
return THFloatTensor_nElement(out);
}
void THFreeNetwork(THNETWORK *network)
{
freenetwork(network->net);
if(network->netobj)
{
freeobject(network->netobj);
free(network->netobj);
}
if(network->statobj)
{
freeobject(network->statobj);
free(network->statobj);
}
if(network->out)
THFloatTensor_free(network->out);
free(network);
}
int THLastError()
{
return lasterror;
}
void THMakeSpatial(THNETWORK *network)
{
int i, size = 231, nInputPlane = 3;
for(i = 0; i < network->net->nelem; i++)
{
if(network->net->modules[i].type == MT_View || network->net->modules[i].type == MT_Reshape)
{
THFloatTensor_free(network->net->modules[i].output);
memmove(network->net->modules+i, network->net->modules+i+1, sizeof(*network->net->modules) * (network->net->nelem - i - 1));
network->net->nelem--;
i--;
} else if(network->net->modules[i].type == MT_Linear)
{
THFloatTensor_free(network->net->modules[i].Linear.addBuffer);
network->net->modules[i].type = MT_SpatialConvolutionMM;
network->net->modules[i].updateOutput = nn_SpatialConvolutionMM_updateOutput;
struct SpatialConvolution *c = &network->net->modules[i].SpatialConvolution;
c->finput = THFloatTensor_new();
c->padW = c->padH = 0;
c->dW = c->dH = 1;
c->kW = c->kH = size;
c->nInputPlane = nInputPlane;
nInputPlane = c->nOutputPlane = c->weight->size[0];
size = (size + 2*c->padW - c->kW) / c->dW + 1;
} else if(network->net->modules[i].type == MT_SpatialConvolutionMM)
{
struct SpatialConvolution *c = &network->net->modules[i].SpatialConvolution;
size = (size + 2*c->padW - c->kW) / c->dW + 1;
nInputPlane = network->net->modules[i].SpatialConvolution.nOutputPlane;
} else if(network->net->modules[i].type == MT_SpatialMaxPooling)
{
struct SpatialMaxPooling *c = &network->net->modules[i].SpatialMaxPooling;
if(c->ceil_mode)
size = (long)(ceil((float)(size - c->kH + 2*c->padH) / c->dH)) + 1;
else size = (long)(floor((float)(size - c->kH + 2*c->padH) / c->dH)) + 1;
} else if(network->net->modules[i].type == MT_SpatialZeroPadding)
{
struct SpatialZeroPadding *c = &network->net->modules[i].SpatialZeroPadding;
size += c->pad_l + c->pad_r;
}
}
}
int THUseSpatialConvolutionMM(THNETWORK *network, int mm_on)
{
int i;
int rc = 0;
for(i = 0; i < network->net->nelem; i++)
{
if(mm_on && network->net->modules[i].type == MT_SpatialConvolution)
{
struct SpatialConvolution *c = &network->net->modules[i].SpatialConvolution;
network->net->modules[i].type = MT_SpatialConvolutionMM;
network->net->modules[i].updateOutput = nn_SpatialConvolutionMM_updateOutput;
if(c->weight->nDimension == 4)
THFloatTensor_resize2d(c->weight, c->weight->size[0], c->weight->size[1] * c->weight->size[2] * c->weight->size[3]);
} else if(!mm_on && network->net->modules[i].type == MT_SpatialConvolutionMM)
{
struct SpatialConvolution *c = &network->net->modules[i].SpatialConvolution;
if(c->padW || c->padH)
{
rc = ERR_NOTIMPLEMENTED;
continue;
}
network->net->modules[i].type = MT_SpatialConvolution;
network->net->modules[i].updateOutput = nn_SpatialConvolution_updateOutput;
if(c->weight->nDimension == 2)
THFloatTensor_resize4d(c->weight, c->nOutputPlane, c->nInputPlane, c->kH, c->kW);
}
}
return rc;
}
THNETWORK *THCreateCudaNetwork(THNETWORK *net)
{
#ifdef CUDNN
THNETWORK *nn = malloc(sizeof(*nn));
memcpy(nn, net, sizeof(*nn));
nn->netobj = 0;
nn->statobj = 0;
nn->net = THcudnn_ToCUDNN(net->net);
return nn;
#else
return 0;
#endif
}
int THCudaHalfFloat(int enable)
{
#if defined CUDNN && defined HAVEFP16
if(enable)
{
floattype = CUDNN_DATA_HALF;
} else floattype = CUDNN_DATA_FLOAT;
return 0;
#else
return ERR_NOTIMPLEMENTED;
#endif
}
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