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find_most_influential.h | //===------------------------------------------------------------*- C++ -*-===//
//
// Ripples: A C++ Library for Influence Maximization
// Marco Minutoli <marco.minutoli@pnnl.gov>
// Pacific Northwest National Laboratory
//
//===----------------------------------------------------------------------===//
//
// Copyright (c) 2019, Battelle Memorial Institute
//
// Battelle Memorial Institute (hereinafter Battelle) hereby grants permission
// to any person or entity lawfully obtaining a copy of this software and
// associated documentation files (hereinafter “the Software”) to redistribute
// and use the Software in source and binary forms, with or without
// modification. Such person or entity may use, copy, modify, merge, publish,
// distribute, sublicense, and/or sell copies of the Software, and may permit
// others to do so, subject to the following conditions:
//
// 1. Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimers.
//
// 2. Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// 3. Other than as used herein, neither the name Battelle Memorial Institute or
// Battelle may be used in any form whatsoever without the express written
// consent of Battelle.
//
// 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 BATTELLE OR CONTRIBUTORS BE LIABLE FOR ANY
// DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
//===----------------------------------------------------------------------===//
#ifndef RIPPLES_FIND_MOST_INFLUENTIAL_H
#define RIPPLES_FIND_MOST_INFLUENTIAL_H
#include <algorithm>
#include <queue>
#include <unordered_set>
#include <vector>
#include <fstream>
#include <omp.h>
#include "ripples/counting.h"
#include "ripples/imm_execution_record.h"
#include "ripples/partition.h"
#include "ripples/streaming_find_most_influential.h"
#include "ripples/utility.h"
#include "ripples/huffman.h"
#include "spdlog/sinks/stdout_color_sinks.h"
#include "spdlog/spdlog.h"
#ifdef RIPPLES_ENABLE_CUDA
#include "ripples/cuda/cuda_generate_rrr_sets.h"
#include "ripples/cuda/find_most_influential.h"
#include "thrust/count.h"
#include "thrust/device_ptr.h"
#endif
namespace ripples {
// template <typename GraphTy, typename RRRset>
// auto DumpRRRSets(const GraphTy &G, std::vector<RRRset> &RRRsets) {
// using vertex_type = typename GraphTy::vertex_type;
// auto in_begin=RRRsets.begin();
// std::vector<vertex_type> output_vtx;
// std::for_each(in_begin->begin(), in_begin->begin()+10,
// [&](const vertex_type v) { output_vtx.push_back(v); });
// return output_vtx;
// }
template <typename GraphTy, typename RRRset>
void DumpRRRSets(const GraphTy &G, std::vector<RRRset> &RRRsets) {
using vertex_type = typename GraphTy::vertex_type;
auto in_begin=RRRsets.begin();
auto in_end=RRRsets.end();
size_t s1 = RRRsets.size();
size_t total_rrr_size = 0;
// std::vector<vertex_type> output_vtx;
std::ofstream FILE("rrr_out.bin", std::ios::out | std::ofstream::binary);
FILE.write(reinterpret_cast<const char *>(&s1), sizeof(s1));
for (; in_begin != in_end; ++in_begin) {
// std::for_each(in_begin->begin(), in_begin->end(),
// [&](const vertex_type v) { output_vtx.push_back(v); });
int s2=std::distance(in_begin->begin(),in_begin->end());
if(s2!=in_begin->size()){
std::cout<<"s2="<<s2<<", size="<<in_begin->size()<<std::endl;
}
total_rrr_size+=s2;
FILE.write(reinterpret_cast<const char *>(&s2), sizeof(s2));
// FILE.write(reinterpret_cast<const char *> (&(*in_begin->begin())), s2*sizeof(vertex_type));
}
std::cout<<"total-rrr="<<s1<<", total-vtx-size="<<total_rrr_size;
std::cout<<", total-bytes:"<<(total_rrr_size * sizeof(vertex_type))/(1024*1024)<<"Mb."<<std::endl;
// FILE.write(reinterpret_cast<const char *> (&output_vtx[0]), total_rrr_size*sizeof(vertex_type));
}
template <typename RRRset>
void DumpCompRRRSets(unsigned char** compR, unsigned int* compBytes, std::vector<RRRset> &RRRsets) {
size_t s1 = RRRsets.size();
size_t total_rrr_size = 0;
// std::vector<vertex_type> output_vtx;
std::ofstream FILE("compr_out.bin", std::ios::out | std::ofstream::binary);
FILE.write(reinterpret_cast<const char *>(&s1), sizeof(s1));
for (size_t i=0; i<s1; i++) {
int s2=RRRsets[i].size();
total_rrr_size+=s2;
unsigned int s2bytes=compBytes[i];
FILE.write(reinterpret_cast<const char *>(&s2), sizeof(s2));
// std::cout<<"("<<i<<"):"<<s2<<":"<<compR[i][0]<<" ";
// FILE.write(reinterpret_cast<const char *> (compR[i]), s2bytes*sizeof(unsigned char));
}
std::cout<<std::endl;
std::cout<<"total-compRRR="<<s1<<", total-comp-size="<<total_rrr_size;
std::cout<<", total-bytes:"<<(total_rrr_size * sizeof(int))/(1024*1024)<<"Mb."<<std::endl;
// FILE.write(reinterpret_cast<const char *> (&output_vtx[0]), total_rrr_size*sizeof(vertex_type));
}
//! \brief Select k seeds starting from the a list of Random Reverse
//! Reachability Sets.
//!
//! \tparam GraphTy The graph type.
//! \tparam RRRset The type storing Random Reverse Reachability Sets.
//! \tparam execution_tag The execution policy.
//!
//! \param G The input graph.
//! \param k The size of the seed set.
//! \param RRRsets A vector of Random Reverse Reachability sets.
//! \param ex_tag The execution policy tag.
//!
//! \return a pair where the size_t is the number of RRRset covered and
//! the set of vertices selected as seeds.
template <typename GraphTy, typename ConfTy, typename RRRset>
auto FindMostInfluentialSet(const GraphTy &G, const ConfTy &CFG,
std::vector<RRRset> &RRRsets,
IMMExecutionRecord &record, bool enableGPU,
sequential_tag &&ex_tag) {
using vertex_type = typename GraphTy::vertex_type;
size_t k = CFG.k;
std::vector<uint32_t> vertexCoverage(G.num_nodes(), 0);
auto cmp = [](std::pair<vertex_type, size_t> &a,
std::pair<vertex_type, size_t> &b) {
return a.second < b.second;
};
using priorityQueue =
std::priority_queue<std::pair<vertex_type, size_t>,
std::vector<std::pair<vertex_type, size_t>>,
decltype(cmp)>;
std::vector<std::pair<vertex_type, size_t>> queue_storage(G.num_nodes());
auto counting = measure<>::exec_time([&]() {
CountOccurrencies(RRRsets.begin(), RRRsets.end(), vertexCoverage.begin(),
vertexCoverage.end(),
std::forward<sequential_tag>(ex_tag));
});
InitHeapStorage(vertexCoverage.begin(), vertexCoverage.end(),
queue_storage.begin(), queue_storage.end(),
std::forward<sequential_tag>(ex_tag));
priorityQueue queue(cmp, std::move(queue_storage));
std::vector<typename GraphTy::vertex_type> result;
result.reserve(k);
size_t uncovered = RRRsets.size();
auto end = RRRsets.end();
typename IMMExecutionRecord::ex_time_ms pivoting;
while (result.size() < k && uncovered != 0) {
auto element = queue.top();
queue.pop();
if (element.second > vertexCoverage[element.first]) {
element.second = vertexCoverage[element.first];
queue.push(element);
continue;
}
uncovered -= element.second;
auto cmp = [=](const RRRset &a) -> auto {
return !std::binary_search(a.begin(), a.end(), element.first);
};
auto start = std::chrono::high_resolution_clock::now();
auto itr = partition(RRRsets.begin(), end, cmp,
std::forward<sequential_tag>(ex_tag));
pivoting += (std::chrono::high_resolution_clock::now() - start);
counting += measure<>::exec_time([&]() {
if (std::distance(itr, end) < std::distance(RRRsets.begin(), itr)) {
UpdateCounters(itr, end, vertexCoverage,
std::forward<sequential_tag>(ex_tag));
} else {
std::fill(vertexCoverage.begin(), vertexCoverage.end(), 0);
CountOccurrencies(RRRsets.begin(), itr, vertexCoverage.begin(),
vertexCoverage.end(),
std::forward<sequential_tag>(ex_tag));
}
});
end = itr;
result.push_back(element.first);
}
double f = double(RRRsets.size() - uncovered) / RRRsets.size();
record.Counting.push_back(
std::chrono::duration_cast<typename IMMExecutionRecord::ex_time_ms>(
counting));
record.Pivoting.push_back(pivoting);
return std::make_pair(f, result);
}
template <typename GraphTy, typename ConfTy, typename RRRset>
auto FindMostInfluentialSet(const GraphTy &G, const ConfTy &CFG,
std::vector<RRRset> &RRRsets,
IMMExecutionRecord &record, bool enableGPU,
omp_parallel_tag &&ex_tag) {
size_t num_gpu = 0;
size_t num_max_cpu = 0;
#pragma omp single
{
num_max_cpu =
std::min<size_t>(omp_get_max_threads(), CFG.seed_select_max_workers);
}
#ifdef RIPPLES_ENABLE_CUDA
if (enableGPU) {
num_gpu = std::min(cuda_num_devices(), CFG.seed_select_max_gpu_workers);
}
#endif
StreamingFindMostInfluential<GraphTy> SE(G, RRRsets, num_max_cpu, num_gpu, record);
return SE.find_most_influential_set(CFG.k,CFG.histogramMode);
}
#if RIPPLES_ENABLE_CUDA
template <typename Itr>
void MoveRRRSets(Itr in_begin, Itr in_end, uint32_t *d_rrr_index,
uint32_t *d_rrr_sets, size_t rrr_index_size,
size_t rrr_sets_size) {
std::vector<uint32_t> buffer(rrr_sets_size);
std::vector<uint32_t> buffer2(rrr_sets_size);
auto position = buffer.begin();
auto position2 = buffer2.begin();
uint32_t id = 0;
for (auto itr = in_begin; itr < in_end; ++itr, ++id) {
position = std::copy(itr->begin(), itr->end(), position);
std::fill(position2, position2 + itr->size(), id);
std::advance(position2, itr->size());
}
cuda_h2d(reinterpret_cast<void *>(d_rrr_index),
reinterpret_cast<void *>(buffer2.data()),
sizeof(uint32_t) * rrr_sets_size);
cuda_h2d(reinterpret_cast<void *>(d_rrr_sets),
reinterpret_cast<void *>(buffer.data()),
sizeof(uint32_t) * rrr_sets_size);
}
template <typename GraphTy, typename RRRset>
auto FindMostInfluentialSet(const GraphTy &G, size_t k,
std::vector<RRRset> &RRRsets,
IMMExecutionRecord &record,
cuda_parallel_tag &&ex_tag) {
using vertex_type = typename GraphTy::vertex_type;
size_t rrr_sets_size = 0;
#pragma omp parallel for reduction(+ : rrr_sets_size)
for (auto itr = RRRsets.begin(); itr < RRRsets.end(); ++itr) {
rrr_sets_size += itr->size();
}
size_t rrr_index_size = rrr_sets_size;
uint32_t *d_Counters;
cuda_malloc(reinterpret_cast<void **>(&d_Counters),
sizeof(uint32_t) * G.num_nodes());
cuda_memset(reinterpret_cast<void **>(d_Counters), 0,
sizeof(uint32_t) * G.num_nodes());
uint32_t *d_rrr_index;
uint32_t *d_rrr_sets;
cuda_malloc(reinterpret_cast<void **>(&d_rrr_index),
sizeof(uint32_t) * rrr_index_size);
cuda_malloc(reinterpret_cast<void **>(&d_rrr_sets),
sizeof(uint32_t) * rrr_sets_size);
char *d_rr_mask;
cuda_malloc(reinterpret_cast<void **>(&d_rr_mask),
sizeof(char) * RRRsets.size());
cuda_memset(reinterpret_cast<void *>(d_rr_mask), 0,
sizeof(char) * RRRsets.size());
auto counting = measure<>::exec_time([&]() {
MoveRRRSets(RRRsets.begin(), RRRsets.end(), d_rrr_index, d_rrr_sets,
rrr_index_size, rrr_sets_size);
});
counting += measure<>::exec_time([&]() {
CudaCountOccurrencies(d_Counters, d_rrr_sets, rrr_sets_size, G.num_nodes());
});
std::vector<vertex_type> result;
size_t uncovered = RRRsets.size();
while (uncovered != 0) {
// Find Max
auto v = CudaMaxElement(d_Counters, G.num_nodes());
result.push_back(v.first);
uncovered -= v.second;
std::cout << "Reference Selected : " << v.first << " " << v.second
<< std::endl;
if (result.size() == k) break;
// Update Counters
counting += measure<>::exec_time([&]() {
CudaUpdateCounters(rrr_sets_size, d_rrr_index, d_rrr_sets, d_rr_mask,
d_Counters, G.num_nodes(), v.first);
});
}
cuda_free(d_Counters);
cuda_free(d_rrr_index);
cuda_free(d_rrr_sets);
cuda_free(d_rr_mask);
double f = double(RRRsets.size() - uncovered) / RRRsets.size();
record.Counting.push_back(
std::chrono::duration_cast<typename IMMExecutionRecord::ex_time_ms>(
counting));
return std::make_pair(f, result);
}
#endif
} // namespace ripples
#endif // RIPPLES_FIND_MOST_INFLUENTIAL_H
|
yescrypt-opt.c | /*-
* Copyright 2009 Colin Percival
* Copyright 2013-2015 Alexander Peslyak
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
* SUCH DAMAGE.
*
* This file was originally written by Colin Percival as part of the Tarsnap
* online backup system.
*/
#ifdef __i386__
#warning "This implementation does not use SIMD, and thus it runs a lot slower than the SIMD-enabled implementation. Enable at least SSE2 in the C compiler and use yescrypt-best.c instead unless you're building this SIMD-less implementation on purpose (portability to older CPUs or testing)."
#elif defined(__x86_64__)
#warning "This implementation does not use SIMD, and thus it runs a lot slower than the SIMD-enabled implementation. Use yescrypt-best.c instead unless you're building this SIMD-less implementation on purpose (for testing only)."
#endif
#include <errno.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include "sha256.h"
#include "sysendian.h"
#include "yescrypt.h"
#include "yescrypt-platform.c"
static inline void
blkcpy(uint64_t * dest, const uint64_t * src, size_t count)
{
do {
*dest++ = *src++; *dest++ = *src++;
*dest++ = *src++; *dest++ = *src++;
} while (count -= 4);
}
static inline void
blkxor(uint64_t * dest, const uint64_t * src, size_t count)
{
do {
*dest++ ^= *src++; *dest++ ^= *src++;
*dest++ ^= *src++; *dest++ ^= *src++;
} while (count -= 4);
}
typedef union {
uint32_t w[16];
uint64_t d[8];
} salsa20_blk_t;
static inline void
salsa20_simd_shuffle(const salsa20_blk_t * Bin, salsa20_blk_t * Bout)
{
#define COMBINE(out, in1, in2) \
Bout->d[out] = Bin->w[in1 * 2] | ((uint64_t)Bin->w[in2 * 2 + 1] << 32);
COMBINE(0, 0, 2)
COMBINE(1, 5, 7)
COMBINE(2, 2, 4)
COMBINE(3, 7, 1)
COMBINE(4, 4, 6)
COMBINE(5, 1, 3)
COMBINE(6, 6, 0)
COMBINE(7, 3, 5)
#undef COMBINE
}
static inline void
salsa20_simd_unshuffle(const salsa20_blk_t * Bin, salsa20_blk_t * Bout)
{
#define UNCOMBINE(out, in1, in2) \
Bout->w[out * 2] = Bin->d[in1]; \
Bout->w[out * 2 + 1] = Bin->d[in2] >> 32;
UNCOMBINE(0, 0, 6)
UNCOMBINE(1, 5, 3)
UNCOMBINE(2, 2, 0)
UNCOMBINE(3, 7, 5)
UNCOMBINE(4, 4, 2)
UNCOMBINE(5, 1, 7)
UNCOMBINE(6, 6, 4)
UNCOMBINE(7, 3, 1)
#undef UNCOMBINE
}
/**
* salsa20(B):
* Apply the Salsa20 core to the provided block.
*/
static void
salsa20(uint64_t B[8], uint32_t doublerounds)
{
salsa20_blk_t X;
#define x X.w
salsa20_simd_unshuffle((const salsa20_blk_t *)B, &X);
do {
#define R(a,b) (((a) << (b)) | ((a) >> (32 - (b))))
/* Operate on columns */
x[ 4] ^= R(x[ 0]+x[12], 7); x[ 8] ^= R(x[ 4]+x[ 0], 9);
x[12] ^= R(x[ 8]+x[ 4],13); x[ 0] ^= R(x[12]+x[ 8],18);
x[ 9] ^= R(x[ 5]+x[ 1], 7); x[13] ^= R(x[ 9]+x[ 5], 9);
x[ 1] ^= R(x[13]+x[ 9],13); x[ 5] ^= R(x[ 1]+x[13],18);
x[14] ^= R(x[10]+x[ 6], 7); x[ 2] ^= R(x[14]+x[10], 9);
x[ 6] ^= R(x[ 2]+x[14],13); x[10] ^= R(x[ 6]+x[ 2],18);
x[ 3] ^= R(x[15]+x[11], 7); x[ 7] ^= R(x[ 3]+x[15], 9);
x[11] ^= R(x[ 7]+x[ 3],13); x[15] ^= R(x[11]+x[ 7],18);
/* Operate on rows */
x[ 1] ^= R(x[ 0]+x[ 3], 7); x[ 2] ^= R(x[ 1]+x[ 0], 9);
x[ 3] ^= R(x[ 2]+x[ 1],13); x[ 0] ^= R(x[ 3]+x[ 2],18);
x[ 6] ^= R(x[ 5]+x[ 4], 7); x[ 7] ^= R(x[ 6]+x[ 5], 9);
x[ 4] ^= R(x[ 7]+x[ 6],13); x[ 5] ^= R(x[ 4]+x[ 7],18);
x[11] ^= R(x[10]+x[ 9], 7); x[ 8] ^= R(x[11]+x[10], 9);
x[ 9] ^= R(x[ 8]+x[11],13); x[10] ^= R(x[ 9]+x[ 8],18);
x[12] ^= R(x[15]+x[14], 7); x[13] ^= R(x[12]+x[15], 9);
x[14] ^= R(x[13]+x[12],13); x[15] ^= R(x[14]+x[13],18);
#undef R
} while (--doublerounds);
#undef x
{
uint32_t i;
salsa20_blk_t Y;
salsa20_simd_shuffle(&X, &Y);
for (i = 0; i < 16; i += 4) {
((salsa20_blk_t *)B)->w[i] += Y.w[i];
((salsa20_blk_t *)B)->w[i + 1] += Y.w[i + 1];
((salsa20_blk_t *)B)->w[i + 2] += Y.w[i + 2];
((salsa20_blk_t *)B)->w[i + 3] += Y.w[i + 3];
}
}
}
/**
* blockmix_salsa8(Bin, Bout, X, r):
* Compute Bout = BlockMix_{salsa20/8, r}(Bin). The input Bin must be 128r
* bytes in length; the output Bout must also be the same size. The
* temporary space X must be 64 bytes.
*/
static void
blockmix_salsa8(const uint64_t * Bin, uint64_t * Bout, uint64_t * X, size_t r)
{
size_t i;
/* 1: X <-- B_{2r - 1} */
blkcpy(X, &Bin[(2 * r - 1) * 8], 8);
/* 2: for i = 0 to 2r - 1 do */
for (i = 0; i < 2 * r; i += 2) {
/* 3: X <-- H(X \xor B_i) */
blkxor(X, &Bin[i * 8], 8);
salsa20(X, 4);
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
blkcpy(&Bout[i * 4], X, 8);
/* 3: X <-- H(X \xor B_i) */
blkxor(X, &Bin[i * 8 + 8], 8);
salsa20(X, 4);
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
blkcpy(&Bout[i * 4 + r * 8], X, 8);
}
}
/* These are tunable */
#define PWXsimple 2
#define PWXgather 4
#define PWXrounds 6
#define Swidth 8
/* Derived values. Not tunable on their own. */
#define PWXbytes (PWXgather * PWXsimple * 8)
#define PWXwords (PWXbytes / sizeof(uint64_t))
#define Sbytes (3 * (1 << Swidth) * PWXsimple * 8)
#define Swords (Sbytes / sizeof(uint64_t))
#define Smask (((1 << Swidth) - 1) * PWXsimple * 8)
#define Smask2 (((uint64_t)Smask << 32) | Smask)
#define rmin ((PWXbytes + 127) / 128)
#if PWXbytes % 32 != 0
#error "blkcpy() and blkxor() currently work on multiples of 32."
#endif
typedef struct {
uint64_t *S0, *S1, *S2;
size_t w;
} pwxform_ctx_t;
#define Salloc (Sbytes + ((sizeof(pwxform_ctx_t) + 63) & ~63U))
/**
* pwxform(B):
* Transform the provided block using the provided S-boxes.
*/
static void
pwxform(uint64_t * B, pwxform_ctx_t * ctx)
{
uint64_t (*X)[PWXsimple] = (uint64_t (*)[PWXsimple])B;
uint64_t *S0 = ctx->S0, *S1 = ctx->S1, *S2 = ctx->S2;
size_t w = ctx->w;
size_t i, j;
#if PWXsimple > 2
size_t k;
#endif
/* 2: for j = 0 to PWXgather - 1 do */
for (j = 0; j < PWXgather; j++) {
uint64_t *Xj = X[j];
uint64_t x0 = Xj[0];
#if PWXsimple > 1
uint64_t x1 = Xj[1];
#endif
/* 1: for i = 0 to PWXrounds - 1 do */
for (i = 0; i < PWXrounds; i++) {
uint64_t x = x0 & Smask2;
const uint64_t *p0, *p1;
/* 3: p0 <-- (lo(B_{j,0}) & Smask) / (PWXsimple * 8) */
p0 = (const uint64_t *)((uint8_t *)S0 + (uint32_t)x);
/* 4: p1 <-- (hi(B_{j,0}) & Smask) / (PWXsimple * 8) */
p1 = (const uint64_t *)((uint8_t *)S1 + (x >> 32));
/* 5: for k = 0 to PWXsimple - 1 do */
/* 6: B_{j,k} <-- (hi(B_{j,k}) * lo(B_{j,k}) + S0_{p0,k}) \xor S1_{p1,k} */
x0 = (uint64_t)(x0 >> 32) * (uint32_t)x0;
x0 += p0[0];
x0 ^= p1[0];
#if PWXsimple > 1
/* 6: B_{j,k} <-- (hi(B_{j,k}) * lo(B_{j,k}) + S0_{p0,k}) \xor S1_{p1,k} */
x1 = (uint64_t)(x1 >> 32) * (uint32_t)x1;
x1 += p0[1];
x1 ^= p1[1];
#endif
#if PWXsimple > 2
/* 5: for k = 0 to PWXsimple - 1 do */
for (k = 2; k < PWXsimple; k++) {
/* 6: B_{j,k} <-- (hi(B_{j,k}) * lo(B_{j,k}) + S0_{p0,k}) \xor S1_{p1,k} */
x = Xj[k];
x = (uint64_t)(x >> 32) * (uint32_t)x;
x += p0[k];
x ^= p1[k];
Xj[k] = x;
}
#endif
/* 8: if (i != 0) and (i != PWXrounds - 1) */
if ((i - 1) < PWXrounds - 2) {
/* 9: S2_w <-- B_j */
/* 10: w <-- w + 1 */
uint64_t *p2 = (uint64_t *)((uint8_t *)S2 + w);
w += PWXbytes;
p2[0] = x0;
#if PWXsimple > 1
p2[1] = x1;
#endif
#if PWXsimple > 2
for (k = 2; k < PWXsimple; k++)
p2[k] = Xj[k];
#endif
}
}
Xj[0] = x0;
#if PWXsimple > 1
Xj[1] = x1;
#endif
w -= (PWXrounds - 2) * PWXbytes - PWXsimple * 8;
}
/* 14: (S0, S1, S2) <-- (S2, S0, S1) */
ctx->S0 = S2;
ctx->S1 = S0;
ctx->S2 = S1;
/* 15: w <-- w mod 2^Swidth */
ctx->w = (w + (PWXrounds - 3) * PWXbytes) & Smask;
}
/**
* blockmix_pwxform(Bin, Bout, S, r):
* Compute Bout = BlockMix_pwxform{salsa20/2, ctx, r}(Bin). The input Bin must
* be 128r bytes in length; the output Bout must also be the same size.
*/
static void
blockmix_pwxform(const uint64_t * Bin, uint64_t * Bout,
pwxform_ctx_t * ctx, size_t r)
{
size_t r1, r2, i;
/* Convert 128-byte blocks to PWXbytes blocks */
/* 1: r_1 <-- 128r / PWXbytes */
r1 = r * 128 / PWXbytes;
/* 2: X <-- B'_{r_1 - 1} */
blkcpy(Bout, &Bin[(r1 - 1) * PWXwords], PWXwords);
/* 3: for i = 0 to r_1 - 1 do */
/* 4: if r_1 > 1 */
if (r1 > 1) {
/* 5: X <-- X \xor B'_i */
blkxor(Bout, Bin, PWXwords);
}
/* 7: X <-- pwxform(X) */
/* 8: B'_i <-- X */
pwxform(Bout, ctx);
/* 3: for i = 0 to r_1 - 1 do */
for (i = 1; i < r1; i++) {
/* 5: X <-- X \xor B'_i */
blkcpy(&Bout[i * PWXwords], &Bout[(i - 1) * PWXwords],
PWXwords);
blkxor(&Bout[i * PWXwords], &Bin[i * PWXwords], PWXwords);
/* 7: X <-- pwxform(X) */
/* 8: B'_i <-- X */
pwxform(&Bout[i * PWXwords], ctx);
}
#if PWXbytes > 128
/*
* Handle partial blocks. If we were using just one buffer, like in
* the algorithm specification, the data would already be there, but
* since we use separate input and output buffers, we may have to copy
* some data over (which will then be processed by the Salsa20/8
* invocations below) in this special case - that is, when 128r is not
* a multiple of PWXbytes. Since PWXgather and PWXsimple must each be
* a power of 2 (per the specification), PWXbytes is also a power of 2.
* Thus, 128r is obviously a multiple of valid values of PWXbytes up to
* 128, inclusive. When PWXbytes is larger than that (thus, 256 or
* larger) we perform this extra check.
*/
if (i * PWXwords < r * 16)
blkcpy(&Bout[i * PWXwords], &Bin[i * PWXwords],
r * 16 - i * PWXwords);
#endif
/* 10: i <-- floor((r_1 - 1) * PWXbytes / 64) */
i = (r1 - 1) * PWXbytes / 64;
/* Convert 128-byte blocks to 64-byte blocks */
r2 = r * 2;
/* 11: B_i <-- H(B_i) */
salsa20(&Bout[i * 8], 1);
for (i++; i < r2; i++) {
/* 13: B_i <-- H(B_i \xor B_{i-1}) */
blkxor(&Bout[i * 8], &Bout[(i - 1) * 8], 8);
salsa20(&Bout[i * 8], 1);
}
}
/**
* integerify(B, r):
* Return the result of parsing B_{2r-1} as a little-endian integer.
*/
static inline uint64_t
integerify(const uint64_t * B, size_t r)
{
/*
* Our 64-bit words are in host byte order, and word 6 holds the second 32-bit
* word of B_{2r-1} due to SIMD shuffling. The 64-bit value we return is also
* in host byte order, as it should be.
*/
const uint64_t * X = &B[(2 * r - 1) * 8];
uint32_t lo = X[0];
uint32_t hi = X[6] >> 32;
return ((uint64_t)hi << 32) + lo;
}
/**
* smix1(B, r, N, flags, V, NROM, VROM, XY, ctx):
* Compute first loop of B = SMix_r(B, N). The input B must be 128r bytes in
* length; the temporary storage V must be 128rN bytes in length; the temporary
* storage XY must be 256r + 64 bytes in length. The value N must be even and
* no smaller than 2.
*/
static void
smix1(uint64_t * B, size_t r, uint64_t N, yescrypt_flags_t flags,
uint64_t * V, uint64_t NROM, const uint64_t * VROM,
uint64_t * XY, pwxform_ctx_t * ctx)
{
size_t s = 16 * r;
uint64_t * X = V;
uint64_t * Y = &XY[s];
uint64_t * Z = &XY[2 * s];
uint64_t n, i, j;
size_t k;
/* 1: X <-- B */
/* 3: V_i <-- X */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&B[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&X[i * 8];
for (k = 0; k < 16; k++)
tmp->w[k] = le32dec(&src->w[k]);
salsa20_simd_shuffle(tmp, dst);
}
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
if (ctx)
blockmix_pwxform(X, Y, ctx, r);
else
blockmix_salsa8(X, Y, Z, r);
blkcpy(&V[s], Y, s);
X = XY;
if (VROM) {
/* j <-- Integerify(X) mod NROM */
j = integerify(Y, r) & (NROM - 1);
/* X <-- H(X \xor VROM_j) */
blkxor(Y, &VROM[j * s], s);
blockmix_pwxform(Y, X, ctx, r);
/* 2: for i = 0 to N - 1 do */
for (n = 1, i = 2; i < N; i += 2) {
/* 3: V_i <-- X */
blkcpy(&V[i * s], X, s);
if ((i & (i - 1)) == 0)
n <<= 1;
/* j <-- Wrap(Integerify(X), i) */
j = integerify(X, r) & (n - 1);
j += i - n;
/* X <-- X \xor V_j */
blkxor(X, &V[j * s], s);
/* 4: X <-- H(X) */
blockmix_pwxform(X, Y, ctx, r);
/* 3: V_i <-- X */
blkcpy(&V[(i + 1) * s], Y, s);
/* j <-- Integerify(X) mod NROM */
j = integerify(Y, r) & (NROM - 1);
/* X <-- H(X \xor VROM_j) */
blkxor(Y, &VROM[j * s], s);
blockmix_pwxform(Y, X, ctx, r);
}
} else if (flags & YESCRYPT_RW) {
/* 4: X <-- H(X) */
blockmix_pwxform(Y, X, ctx, r);
/* 2: for i = 0 to N - 1 do */
for (n = 1, i = 2; i < N; i += 2) {
/* 3: V_i <-- X */
blkcpy(&V[i * s], X, s);
if ((i & (i - 1)) == 0)
n <<= 1;
/* j <-- Wrap(Integerify(X), i) */
j = integerify(X, r) & (n - 1);
j += i - n;
/* X <-- X \xor V_j */
blkxor(X, &V[j * s], s);
/* 4: X <-- H(X) */
blockmix_pwxform(X, Y, ctx, r);
/* 3: V_i <-- X */
blkcpy(&V[(i + 1) * s], Y, s);
/* j <-- Wrap(Integerify(X), i) */
j = integerify(Y, r) & (n - 1);
j += (i + 1) - n;
/* X <-- X \xor V_j */
blkxor(Y, &V[j * s], s);
/* 4: X <-- H(X) */
blockmix_pwxform(Y, X, ctx, r);
}
} else {
/* 4: X <-- H(X) */
blockmix_salsa8(Y, X, Z, r);
/* 2: for i = 0 to N - 1 do */
for (n = 1, i = 2; i < N; i += 2) {
/* 3: V_i <-- X */
blkcpy(&V[i * s], X, s);
/* 4: X <-- H(X) */
blockmix_salsa8(X, Y, Z, r);
/* 3: V_i <-- X */
blkcpy(&V[(i + 1) * s], Y, s);
/* 4: X <-- H(X) */
blockmix_salsa8(Y, X, Z, r);
}
}
/* B' <-- X */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&X[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&B[i * 8];
for (k = 0; k < 16; k++)
le32enc(&tmp->w[k], src->w[k]);
salsa20_simd_unshuffle(tmp, dst);
}
}
/**
* smix2(B, r, N, Nloop, flags, V, NROM, VROM, XY, ctx):
* Compute second loop of B = SMix_r(B, N). The input B must be 128r bytes in
* length; the temporary storage V must be 128rN bytes in length; the temporary
* storage XY must be 256r + 64 bytes in length. The value N must be a
* power of 2 greater than 1. The value Nloop must be even.
*/
static void
smix2(uint64_t * B, size_t r, uint64_t N, uint64_t Nloop,
yescrypt_flags_t flags,
uint64_t * V, uint64_t NROM, const uint64_t * VROM,
uint64_t * XY, pwxform_ctx_t * ctx)
{
size_t s = 16 * r;
uint64_t * X = XY;
uint64_t * Y = &XY[s];
uint64_t i, j;
if (Nloop == 0)
return;
/* X <-- B' */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&B[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&X[i * 8];
size_t k;
for (k = 0; k < 16; k++)
tmp->w[k] = le32dec(&src->w[k]);
salsa20_simd_shuffle(tmp, dst);
}
if (VROM) {
yescrypt_flags_t rw = flags & YESCRYPT_RW;
/* 6: for i = 0 to N - 1 do */
for (i = 0; i < Nloop; i += 2) {
/* 7: j <-- Integerify(X) mod N */
j = integerify(X, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(X, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
if (rw)
blkcpy(&V[j * s], X, s);
blockmix_pwxform(X, Y, ctx, r);
/* j <-- Integerify(X) mod NROM */
j = integerify(Y, r) & (NROM - 1);
/* X <-- H(X \xor VROM_j) */
blkxor(Y, &VROM[j * s], s);
blockmix_pwxform(Y, X, ctx, r);
}
} else if (ctx) {
yescrypt_flags_t rw = flags & YESCRYPT_RW;
/* 6: for i = 0 to N - 1 do */
i = Nloop / 2;
do {
/* 7: j <-- Integerify(X) mod N */
j = integerify(X, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(X, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
if (rw)
blkcpy(&V[j * s], X, s);
blockmix_pwxform(X, Y, ctx, r);
/* 7: j <-- Integerify(X) mod N */
j = integerify(Y, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(Y, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
if (rw)
blkcpy(&V[j * s], Y, s);
blockmix_pwxform(Y, X, ctx, r);
} while (--i);
} else {
uint64_t * Z = &XY[2 * s];
/* 6: for i = 0 to N - 1 do */
i = Nloop / 2;
do {
/* 7: j <-- Integerify(X) mod N */
j = integerify(X, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(X, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
blockmix_salsa8(X, Y, Z, r);
/* 7: j <-- Integerify(X) mod N */
j = integerify(Y, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(Y, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
blockmix_salsa8(Y, X, Z, r);
} while (--i);
}
/* 10: B' <-- X */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&X[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&B[i * 8];
size_t k;
for (k = 0; k < 16; k++)
le32enc(&tmp->w[k], src->w[k]);
salsa20_simd_unshuffle(tmp, dst);
}
}
/**
* p2floor(x):
* Largest power of 2 not greater than argument.
*/
static uint64_t
p2floor(uint64_t x)
{
uint64_t y;
while ((y = x & (x - 1)))
x = y;
return x;
}
/**
* smix(B, r, N, p, t, flags, V, NROM, VROM, XY, S, passwd):
* Compute B = SMix_r(B, N). The input B must be 128rp bytes in length; the
* temporary storage V must be 128rN bytes in length; the temporary storage
* XY must be 256r+64 or (256r+64)*p bytes in length (the larger size is
* required with OpenMP-enabled builds). The value N must be a power of 2
* greater than 1.
*/
static void
smix(uint64_t * B, size_t r, uint64_t N, uint32_t p, uint32_t t,
yescrypt_flags_t flags,
uint64_t * V, uint64_t NROM, const uint64_t * VROM,
uint64_t * XY, uint8_t * S, uint8_t * passwd)
{
size_t s = 16 * r;
uint64_t Nchunk, Nloop_all, Nloop_rw;
uint32_t i;
/* 1: n <-- N / p */
Nchunk = N / p;
/* 2: Nloop_all <-- fNloop(n, t, flags) */
Nloop_all = Nchunk;
if (flags & YESCRYPT_RW) {
if (t <= 1) {
if (t)
Nloop_all *= 2; /* 2/3 */
Nloop_all = (Nloop_all + 2) / 3; /* 1/3, round up */
} else {
Nloop_all *= t - 1;
}
} else if (t) {
if (t == 1)
Nloop_all += (Nloop_all + 1) / 2; /* 1.5, round up */
Nloop_all *= t;
}
/* 6: Nloop_rw <-- 0 */
Nloop_rw = 0;
if (flags & __YESCRYPT_INIT_SHARED) {
Nloop_rw = Nloop_all;
} else {
/* 3: if YESCRYPT_RW flag is set */
if (flags & YESCRYPT_RW) {
/* 4: Nloop_rw <-- Nloop_all / p */
Nloop_rw = Nloop_all / p;
}
}
/* 8: n <-- n - (n mod 2) */
Nchunk &= ~(uint64_t)1; /* round down to even */
/* 9: Nloop_all <-- Nloop_all + (Nloop_all mod 2) */
Nloop_all++; Nloop_all &= ~(uint64_t)1; /* round up to even */
/* 10: Nloop_rw <-- Nloop_rw + (Nloop_rw mod 2) */
Nloop_rw++; Nloop_rw &= ~(uint64_t)1; /* round up to even */
/* 11: for i = 0 to p - 1 do */
#ifdef _OPENMP
#pragma omp parallel if (p > 1) default(none) private(i) shared(B, r, N, p, flags, V, NROM, VROM, XY, S, passwd, s, Nchunk, Nloop_all, Nloop_rw)
{
#pragma omp for
#endif
for (i = 0; i < p; i++) {
/* 12: u <-- in */
uint64_t Vchunk = i * Nchunk;
/* 13: if i = p - 1 */
/* 14: n <-- N - u */
/* 15: end if */
/* 16: v <-- u + n - 1 */
uint64_t Np = (i < p - 1) ? Nchunk : (N - Vchunk);
uint64_t * Bp = &B[i * s];
uint64_t * Vp = &V[Vchunk * s];
#ifdef _OPENMP
uint64_t * XYp = &XY[i * (2 * s + 8)];
#else
uint64_t * XYp = XY;
#endif
pwxform_ctx_t * ctx_i = NULL;
/* 17: if YESCRYPT_RW flag is set */
if (flags & YESCRYPT_RW) {
uint64_t *Si = (uint64_t *)(S + i * Salloc);
/* 18: SMix1_1(B_i, Sbytes / 128, S_i, no flags) */
smix1(Bp, 1, Sbytes / 128, 0 /* no flags */,
Si, 0, NULL, XYp, NULL);
ctx_i = (pwxform_ctx_t *)(Si + Swords);
/* 19: S2_i <-- S_{i,0...2^Swidth-1} */
ctx_i->S2 = Si;
/* 20: S1_i <-- S_{i,2^Swidth...2*2^Swidth-1} */
ctx_i->S1 = Si + Swords / 3;
/* 21: S0_i <-- S_{i,2*2^Swidth...3*2^Swidth-1} */
ctx_i->S0 = Si + Swords / 3 * 2;
/* 22: w_i <-- 0 */
ctx_i->w = 0;
/* 23: if i = 0 */
if (i == 0) {
/* 24: passwd <-- HMAC-SHA256(B_{0,2r-1}, passwd) */
HMAC_SHA256_CTX ctx;
HMAC_SHA256_Init(&ctx, Bp + (s - 8), 64);
HMAC_SHA256_Update(&ctx, passwd, 32);
HMAC_SHA256_Final(passwd, &ctx);
}
}
if (!(flags & __YESCRYPT_INIT_SHARED_2)) {
/* 27: SMix1_r(B_i, n, V_{u..v}, flags) */
smix1(Bp, r, Np, flags, Vp, NROM, VROM, XYp, ctx_i);
}
/* 28: SMix2_r(B_i, p2floor(n), Nloop_rw, V_{u..v}, flags) */
smix2(Bp, r, p2floor(Np), Nloop_rw, flags, Vp,
NROM, VROM, XYp, ctx_i);
}
/* 30: for i = 0 to p - 1 do */
if (Nloop_all > Nloop_rw) {
#ifdef _OPENMP
#pragma omp for
#endif
for (i = 0; i < p; i++) {
uint64_t * Bp = &B[i * s];
#ifdef _OPENMP
uint64_t * XYp = &XY[i * (2 * s + 8)];
#else
uint64_t * XYp = XY;
#endif
pwxform_ctx_t * ctx_i = NULL;
if (flags & YESCRYPT_RW)
ctx_i = (pwxform_ctx_t *)(S + i * Salloc + Sbytes);
/* 31: SMix2_r(B_i, N, Nloop_all - Nloop_rw, V, flags excluding YESCRYPT_RW) */
smix2(Bp, r, N, Nloop_all - Nloop_rw,
flags & ~YESCRYPT_RW, V, NROM, VROM, XYp, ctx_i);
}
}
#ifdef _OPENMP
}
#endif
}
/**
* yescrypt_kdf_body(shared, local, passwd, passwdlen, salt, saltlen,
* N, r, p, t, flags, buf, buflen):
* Compute scrypt(passwd[0 .. passwdlen - 1], salt[0 .. saltlen - 1], N, r,
* p, buflen), or a revision of scrypt as requested by flags and shared, and
* write the result into buf. The parameters r, p, and buflen must satisfy
* r * p < 2^30 and buflen <= (2^32 - 1) * 32. The parameter N must be a power
* of 2 greater than 1.
*
* t controls computation time while not affecting peak memory usage. shared
* and flags may request special modes as described in yescrypt.h. local is
* the thread-local data structure, allowing to preserve and reuse a memory
* allocation across calls, thereby reducing its overhead.
*
* Return 0 on success; or -1 on error.
*/
static int
yescrypt_kdf_body(const yescrypt_shared_t * shared, yescrypt_local_t * local,
const uint8_t * passwd, size_t passwdlen,
const uint8_t * salt, size_t saltlen,
uint64_t N, uint32_t r, uint32_t p, uint32_t t, yescrypt_flags_t flags,
uint8_t * buf, size_t buflen)
{
yescrypt_region_t tmp;
uint64_t NROM;
const uint64_t * VROM;
size_t B_size, V_size, XY_size, need;
uint64_t * B, * V, * XY;
uint8_t * S;
uint64_t sha256[4];
uint8_t dk[sizeof(sha256)], * dkp = buf;
/* Sanity-check parameters */
if ((flags & ~YESCRYPT_KNOWN_FLAGS) || (!flags && t)) {
errno = EINVAL;
return -1;
}
#if SIZE_MAX > UINT32_MAX
if (buflen > (((uint64_t)(1) << 32) - 1) * 32) {
errno = EFBIG;
return -1;
}
#endif
if ((uint64_t)(r) * (uint64_t)(p) >= (1 << 30)) {
errno = EFBIG;
return -1;
}
if (((N & (N - 1)) != 0) || (N <= 1) || (r < 1) || (p < 1)) {
errno = EINVAL;
return -1;
}
if ((p > SIZE_MAX / ((size_t)256 * r + 64)) ||
#if SIZE_MAX / 256 <= UINT32_MAX
(r > SIZE_MAX / 256) ||
#endif
(N > SIZE_MAX / 128 / r)) {
errno = ENOMEM;
return -1;
}
if (N > UINT64_MAX / ((uint64_t)t + 1)) {
errno = EFBIG;
return -1;
}
if (flags & YESCRYPT_RW) {
if ((flags & YESCRYPT_WORM) || (N / p <= 1) || (r < rmin)) {
errno = EINVAL;
return -1;
}
if (p > SIZE_MAX / Salloc) {
errno = ENOMEM;
return -1;
}
}
#ifdef _OPENMP
else if (N > SIZE_MAX / 128 / (r * p)) {
errno = ENOMEM;
return -1;
}
#endif
NROM = 0;
VROM = NULL;
if (shared) {
NROM = shared->aligned_size / ((size_t)128 * r);
if (((NROM & (NROM - 1)) != 0) || (NROM <= 1) ||
!(flags & YESCRYPT_RW)) {
errno = EINVAL;
return -1;
}
VROM = shared->aligned;
}
/* Allocate memory */
V = NULL;
V_size = (size_t)128 * r * N;
#ifdef _OPENMP
if (!(flags & YESCRYPT_RW))
V_size *= p;
#endif
need = V_size;
if (flags & __YESCRYPT_INIT_SHARED) {
if (local->aligned_size < need) {
if (local->base || local->aligned ||
local->base_size || local->aligned_size) {
errno = EINVAL;
return -1;
}
if (!alloc_region(local, need))
return -1;
}
V = (uint64_t *)local->aligned;
need = 0;
}
B_size = (size_t)128 * r * p;
need += B_size;
if (need < B_size) {
errno = ENOMEM;
return -1;
}
XY_size = (size_t)256 * r + 64;
#ifdef _OPENMP
XY_size *= p;
#endif
need += XY_size;
if (need < XY_size) {
errno = ENOMEM;
return -1;
}
if (flags & YESCRYPT_RW) {
size_t S_size = (size_t)Salloc * p;
need += S_size;
if (need < S_size) {
errno = ENOMEM;
return -1;
}
}
if (flags & __YESCRYPT_INIT_SHARED) {
if (!alloc_region(&tmp, need))
return -1;
B = (uint64_t *)tmp.aligned;
XY = (uint64_t *)((uint8_t *)B + B_size);
} else {
init_region(&tmp);
if (local->aligned_size < need) {
if (free_region(local))
return -1;
if (!alloc_region(local, need))
return -1;
}
B = (uint64_t *)local->aligned;
V = (uint64_t *)((uint8_t *)B + B_size);
XY = (uint64_t *)((uint8_t *)V + V_size);
}
S = NULL;
if (flags & YESCRYPT_RW)
S = (uint8_t *)XY + XY_size;
if (flags) {
HMAC_SHA256_CTX ctx;
HMAC_SHA256_Init(&ctx, "yescrypt-prehash",
(flags & __YESCRYPT_PREHASH) ? 16 : 8);
HMAC_SHA256_Update(&ctx, passwd, passwdlen);
HMAC_SHA256_Final((uint8_t *)sha256, &ctx);
passwd = (uint8_t *)sha256;
passwdlen = sizeof(sha256);
}
/* 1: (B_0 ... B_{p-1}) <-- PBKDF2(P, S, 1, p * MFLen) */
PBKDF2_SHA256(passwd, passwdlen, salt, saltlen, 1,
(uint8_t *)B, B_size);
if (flags)
blkcpy(sha256, B, sizeof(sha256) / sizeof(sha256[0]));
if (p == 1 || (flags & YESCRYPT_RW)) {
smix(B, r, N, p, t, flags, V, NROM, VROM, XY, S,
(uint8_t *)sha256);
} else {
uint32_t i;
/* 2: for i = 0 to p - 1 do */
#ifdef _OPENMP
#pragma omp parallel for default(none) private(i) shared(B, r, N, p, t, flags, V, NROM, VROM, XY, S)
#endif
for (i = 0; i < p; i++) {
/* 3: B_i <-- MF(B_i, N) */
#ifdef _OPENMP
smix(&B[(size_t)16 * r * i], r, N, 1, t, flags,
&V[(size_t)16 * r * i * N],
NROM, VROM,
&XY[((size_t)32 * r + 8) * i], NULL, NULL);
#else
smix(&B[(size_t)16 * r * i], r, N, 1, t, flags, V,
NROM, VROM, XY, NULL, NULL);
#endif
}
}
dkp = buf;
if (flags && buflen < sizeof(dk)) {
PBKDF2_SHA256(passwd, passwdlen, (uint8_t *)B, B_size, 1,
dk, sizeof(dk));
dkp = dk;
}
/* 5: DK <-- PBKDF2(P, B, 1, dkLen) */
PBKDF2_SHA256(passwd, passwdlen, (uint8_t *)B, B_size, 1, buf, buflen);
/*
* Except when computing classic scrypt, allow all computation so far
* to be performed on the client. The final steps below match those of
* SCRAM (RFC 5802), so that an extension of SCRAM (with the steps so
* far in place of SCRAM's use of PBKDF2 and with SHA-256 in place of
* SCRAM's use of SHA-1) would be usable with yescrypt hashes.
*/
if (flags && !(flags & __YESCRYPT_PREHASH)) {
/* Compute ClientKey */
{
HMAC_SHA256_CTX ctx;
HMAC_SHA256_Init(&ctx, dkp, sizeof(dk));
HMAC_SHA256_Update(&ctx, "Client Key", 10);
HMAC_SHA256_Final((uint8_t *)sha256, &ctx);
}
/* Compute StoredKey */
{
SHA256_CTX ctx;
size_t clen = buflen;
if (clen > sizeof(dk))
clen = sizeof(dk);
SHA256_Init(&ctx);
SHA256_Update(&ctx, (uint8_t *)sha256, sizeof(sha256));
SHA256_Final(dk, &ctx);
memcpy(buf, dk, clen);
}
}
if (free_region(&tmp))
return -1;
/* Success! */
return 0;
}
/**
* yescrypt_kdf(shared, local, passwd, passwdlen, salt, saltlen,
* N, r, p, t, g, flags, buf, buflen):
* Compute scrypt or its revision as requested by the parameters. The inputs
* to this function are the same as those for yescrypt_kdf_body() above, with
* the addition of g, which controls hash upgrades (0 for no upgrades so far).
*/
int
yescrypt_kdf(const yescrypt_shared_t * shared, yescrypt_local_t * local,
const uint8_t * passwd, size_t passwdlen,
const uint8_t * salt, size_t saltlen,
uint64_t N, uint32_t r, uint32_t p, uint32_t t, uint32_t g,
yescrypt_flags_t flags,
uint8_t * buf, size_t buflen)
{
uint8_t dk[32];
if ((flags & (YESCRYPT_RW | __YESCRYPT_INIT_SHARED)) == YESCRYPT_RW &&
p >= 1 && N / p >= 0x100 && N / p * r >= 0x20000) {
int retval = yescrypt_kdf_body(shared, local,
passwd, passwdlen, salt, saltlen,
N >> 6, r, p, 0, flags | __YESCRYPT_PREHASH,
dk, sizeof(dk));
if (retval)
return retval;
passwd = dk;
passwdlen = sizeof(dk);
}
do {
uint8_t * dkp = g ? dk : buf;
size_t dklen = g ? sizeof(dk) : buflen;
int retval = yescrypt_kdf_body(shared, local,
passwd, passwdlen, salt, saltlen,
N, r, p, t, flags, dkp, dklen);
if (retval)
return retval;
passwd = dkp;
passwdlen = dklen;
N <<= 2;
if (!N)
return -1;
t >>= 1;
} while (g--);
return 0;
}
|
GB_binop__plus_int8.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__plus_int8)
// A.*B function (eWiseMult): GB (_AemultB_08__plus_int8)
// A.*B function (eWiseMult): GB (_AemultB_02__plus_int8)
// A.*B function (eWiseMult): GB (_AemultB_04__plus_int8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__plus_int8)
// A*D function (colscale): GB (_AxD__plus_int8)
// D*A function (rowscale): GB (_DxB__plus_int8)
// C+=B function (dense accum): GB (_Cdense_accumB__plus_int8)
// C+=b function (dense accum): GB (_Cdense_accumb__plus_int8)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__plus_int8)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__plus_int8)
// C=scalar+B GB (_bind1st__plus_int8)
// C=scalar+B' GB (_bind1st_tran__plus_int8)
// C=A+scalar GB (_bind2nd__plus_int8)
// C=A'+scalar GB (_bind2nd_tran__plus_int8)
// C type: int8_t
// A type: int8_t
// A pattern? 0
// B type: int8_t
// B pattern? 0
// BinaryOp: cij = (aij + bij)
#define GB_ATYPE \
int8_t
#define GB_BTYPE \
int8_t
#define GB_CTYPE \
int8_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int8_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int8_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (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_INT8 || GxB_NO_PLUS_INT8)
//------------------------------------------------------------------------------
// 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_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__plus_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__plus_int8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__plus_int8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int8_t
int8_t bwork = (*((int8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__plus_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__plus_int8)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__plus_int8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
int8_t alpha_scalar ;
int8_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int8_t *) alpha_scalar_in)) ;
beta_scalar = (*((int8_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__plus_int8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__plus_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__plus_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__plus_int8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__plus_int8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *Cx = (int8_t *) Cx_output ;
int8_t x = (*((int8_t *) x_input)) ;
int8_t *Bx = (int8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int8_t bij = GBX (Bx, p, false) ;
Cx [p] = (x + bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__plus_int8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int8_t *Cx = (int8_t *) Cx_output ;
int8_t *Ax = (int8_t *) Ax_input ;
int8_t y = (*((int8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int8_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij + y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x + aij) ; \
}
GrB_Info GB (_bind1st_tran__plus_int8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t x = (*((const int8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij + y) ; \
}
GrB_Info GB (_bind2nd_tran__plus_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t y = (*((const int8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
vseprefine.c | /**
* @file vseprefine.c
* @brief Vertex separator refinement routines
* @author Dominique LaSalle <lasalle@cs.umn.edu>
* Copyright 2014, Regents of the University of Minnesota
* @version 1
* @date 2014-10-13
*/
#ifndef MTMETIS_REFINE_C
#define MTMETIS_REFINE_C
#include "vseprefine.h"
#include "check.h"
#define ONE_SIDED 1
#include <metis.h>
/******************************************************************************
* TYPES ***********************************************************************
******************************************************************************/
typedef enum lock_state_type {
UNLOCKED = -1,
PARTA_LOCKED = MTMETIS_VSEP_PARTA,
PARTB_LOCKED = MTMETIS_VSEP_PARTB,
SEP_LOCKED = MTMETIS_VSEP_SEP,
BOUNDARY_LOCKED = MTMETIS_VSEP_SEP+1
} lock_state_type;
typedef struct update_type {
vtx_type v;
} update_type;
/******************************************************************************
* DOMLIB IMPORTS **************************************************************
******************************************************************************/
#define DLPQ_PREFIX vw
#define DLPQ_KEY_T wgt_type
#define DLPQ_VAL_T vtx_type
#define DLPQ_STATIC
#include "dlpq_headers.h"
#undef DLPQ_STATIC
#undef DLPQ_VAL_T
#undef DLPQ_KEY_T
#undef DLPQ_PREFIX
#define DLBUFFER_PREFIX update
#define DLBUFFER_TYPE_T update_type
#define DLBUFFER_STATIC 1
#include "dlbuffer_headers.h"
#undef DLBUFFER_STATIC
#undef DLBUFFER_TYPE_T
#undef DLBUFFER_PREFIX
#define DLCB_PREFIX update
#define DLCB_TYPE_T update_type
#define DLCB_BUFFER_PREFIX update_buffer
#define DLCB_BUFFER_TYPE_T update_buffer_t
#define DLCB_STATIC 1
#include "dlcb_headers.h"
#undef DLCB_STATIC
#undef DLCB_BUFFER_TYPE_T
#undef DLCB_BUFFER_PREFIX
#undef DLCB_TYPE_T
#undef DLCB_PREFIX
/******************************************************************************
* CONSTANTS *******************************************************************
******************************************************************************/
static size_t const SERIAL_FM_FACTOR = 8192;
/******************************************************************************
* PRIVATE FUNCTIONS ***********************************************************
******************************************************************************/
static inline int S_valid_move(
vtx_type const v,
pid_type const side,
int const * const locked)
{
int l;
l = locked[v];
return (l == (int)(side) || l == UNLOCKED);
}
static inline void S_lock(
vtx_type const v,
int * const locked,
pid_type const side)
{
locked[v] = side;
}
static inline void S_sync_pwgts(
tid_type const myid,
wgt_type * const gpwgts,
wgt_type * const lpwgts,
dlthread_comm_t const comm)
{
/* turn local pwgts into deltas */
lpwgts[0] -= gpwgts[0];
lpwgts[1] -= gpwgts[1];
lpwgts[MTMETIS_VSEP_SEP] -= gpwgts[MTMETIS_VSEP_SEP];
/* create global deltas */
wgt_dlthread_sumareduce(lpwgts,3,comm);
/* set local pwgts to be global pwgts */
lpwgts[0] += gpwgts[0];
lpwgts[1] += gpwgts[1];
lpwgts[MTMETIS_VSEP_SEP] += gpwgts[MTMETIS_VSEP_SEP];
dlthread_barrier(comm);
if (myid == 0) {
/* re-sync global pwgts */
gpwgts[0] = lpwgts[0];
gpwgts[1] = lpwgts[1];
gpwgts[MTMETIS_VSEP_SEP] = lpwgts[MTMETIS_VSEP_SEP];
}
dlthread_barrier(comm);
}
static inline void S_update_neighbor(
pid_type const side,
vtx_type const v,
tid_type const myid,
vw_pq_t * const q,
vtx_iset_t * const bnd,
vsnbrinfo_type * const * const gnbrinfo,
wgt_type * const pwgts,
graph_type const * const graph)
{
vtx_type k, lvtx;
adj_type j;
tid_type nbrid;
wgt_type gain;
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
pid_type * const * const gwhere = graph->where;
pid_type const other = side ^ 0x01;
/* if I own the neighboring vertex, perform the update myself */
if (gwhere[myid][v] == other) {
/* re-calculate my nrbinfo */
S_calc_conn(v,myid,mynvtxs,xadj,adjncy,gvwgt,(pid_type const **)gwhere, \
graph->dist,gnbrinfo[myid][v].con);
/* update neighbors of the vertices pulled into the separator */
for (j=xadj[v];j<xadj[v+1];++j) {
k = adjncy[j];
if (k < mynvtxs) {
lvtx = k;
nbrid = myid;
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
if (gwhere[nbrid][lvtx] == MTMETIS_VSEP_SEP) {
/* update connectivity */
#pragma omp atomic
gnbrinfo[nbrid][lvtx].con[other] -= gvwgt[myid][v];
}
if (q && nbrid == myid && gwhere[nbrid][lvtx] == MTMETIS_VSEP_SEP) {
/* this vertex is in the separator, and is now more likely
* to move. */
gain = gvwgt[nbrid][lvtx] - gnbrinfo[nbrid][lvtx].con[other];
if (vw_pq_contains(lvtx,q)) {
vw_pq_update(gain,lvtx,q);
} else {
vw_pq_push(gain,lvtx,q);
}
}
}
/* pull this vertex into the separator after updating neighbors */
gwhere[myid][v] = MTMETIS_VSEP_SEP;
/* actually move the vertex */
vtx_iset_add(v,bnd);
/* add the vertex to the priority queue for further movement */
if (q) {
gain = gvwgt[myid][v] - gnbrinfo[myid][v].con[other];
vw_pq_push(gain,v,q);
}
/* update the partition weights */
pwgts[other] -= gvwgt[myid][v];
pwgts[MTMETIS_VSEP_SEP] += gvwgt[myid][v];
}
}
static inline pid_type S_pick_side_local(
tid_type const myid,
wgt_type const * const vwgt,
wgt_type const * const pwgts,
wgt_type const maxpwgt,
vsnbrinfo_type const * const nbrinfo,
vw_pq_t * const * const q)
{
vtx_type p, v;
pid_type side;
/* part next move properties */
vtx_type vtx[2];
wgt_type wgt[2], pri[2];
/* determine stats for each side */
for (p=0;p<MTMETIS_VSEP_SEP;++p) {
if (q[p]->size > 0) {
v = vtx[p] = vw_pq_peek(q[p]);
pri[p] = vwgt[v] - nbrinfo[v].con[p^0x01];
DL_ASSERT(pri[p] == vw_pq_top(q[p]),"Vertex %"PF_VTX_T" has wrong " \
"priority (%"PF_WGT_T" vs %"PF_WGT_T") in queue %"PF_PID_T"\n", \
v,vw_pq_top(q[p]),pri[p],p);
wgt[p] = pwgts[p] + vwgt[v];
} else {
pri[p] = -maxpwgt; /* below what is possible for a valid priority */
vtx[p] = NULL_VTX;
wgt[p] = NULL_WGT;
}
}
/* figure out which side we'll use -- this seems like I could do it
* better */
if (vtx[MTMETIS_VSEP_PARTA] == NULL_VTX && \
vtx[MTMETIS_VSEP_PARTB] == NULL_VTX) {
/* exit loop -- both queues are empty */
return NULL_PID;
} else if (pri[MTMETIS_VSEP_PARTA] > pri[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTA;
} else if (pri[MTMETIS_VSEP_PARTA] < pri[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTB;
} else {
if (wgt[MTMETIS_VSEP_PARTA] < wgt[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTA;
} else if (wgt[MTMETIS_VSEP_PARTA] > wgt[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTB;
} else {
/* alternate sides */
side = (q[MTMETIS_VSEP_PARTA]->size + q[MTMETIS_VSEP_PARTB]->size) % 2;
}
}
/* make sure it will be balanced */
if (wgt[side] > maxpwgt) {
side = side ^ 0x01;
if (vtx[side] == NULL_VTX) {
/* the other side is empty */
return NULL_PID;
}
}
DL_ASSERT(q[side]->size > 0,"Choosing side with empty queue");
return side;
}
static inline pid_type S_pick_side(
graph_type const * const graph,
wgt_type const * const pwgts,
wgt_type const maxpwgt,
vsnbrinfo_type const * const * const gnbrinfo,
vw_pq_t * const * const q)
{
vtx_type p, v, g;
tid_type myid;
pid_type side;
/* part next move properties */
vtx_type vtx[2];
wgt_type wgt[2], pri[2];
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
/* determine stats for each side */
for (p=0;p<MTMETIS_VSEP_SEP;++p) {
if (q[p]->size > 0) {
g = vtx[p] = vw_pq_peek(q[p]);
v = gvtx_to_lvtx(g,graph->dist);
myid = gvtx_to_tid(g,graph->dist);
pri[p] = gvwgt[myid][v] - gnbrinfo[myid][v].con[p^0x01];
DL_ASSERT(pri[p] == vw_pq_top(q[p]),"Vertex %"PF_VTX_T" has wrong " \
"priority (%"PF_WGT_T" vs %"PF_WGT_T") in queue %"PF_PID_T"\n", \
v,vw_pq_top(q[p]),pri[p],p);
wgt[p] = pwgts[p] + gvwgt[myid][v];
} else {
pri[p] = -maxpwgt; /* below what is possible for a valid priority */
vtx[p] = NULL_VTX;
wgt[p] = NULL_WGT;
}
}
/* figure out which side we'll use -- this seems like I could do it
* better */
if (vtx[MTMETIS_VSEP_PARTA] == NULL_VTX && \
vtx[MTMETIS_VSEP_PARTB] == NULL_VTX) {
/* exit loop -- both queues are empty */
return NULL_PID;
} else if (pri[MTMETIS_VSEP_PARTA] > pri[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTA;
} else if (pri[MTMETIS_VSEP_PARTA] < pri[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTB;
} else {
if (wgt[MTMETIS_VSEP_PARTA] < wgt[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTA;
} else if (wgt[MTMETIS_VSEP_PARTA] > wgt[MTMETIS_VSEP_PARTB]) {
side = MTMETIS_VSEP_PARTB;
} else {
/* alternate sides */
side = (q[MTMETIS_VSEP_PARTA]->size + q[MTMETIS_VSEP_PARTB]->size) % 2;
}
}
/* make sure it will be balanced */
if (wgt[side] > maxpwgt) {
side = side ^ 0x01;
if (vtx[side] == NULL_VTX) {
/* the other side is empty */
return NULL_PID;
}
}
DL_ASSERT(q[side]->size > 0,"Choosing side with empty queue");
return side;
}
static void S_fix_iface(
ctrl_type * const ctrl,
graph_type const * const graph,
vsinfo_type * const vsinfo,
vtx_type const * const iface,
vtx_type const niface)
{
vtx_type i, k, v;
adj_type j;
tid_type const myid = dlthread_get_id(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
vsnbrinfo_type * const nbrinfo = vsinfo->nbrinfo;
vtx_iset_t * const bnd = vsinfo->bnd;
if (iface == NULL || niface > bnd->size*7) {
for (i=0;i<bnd->size;++i) {
v = vtx_iset_get(i,bnd);
for (j=xadj[v];j<xadj[v+1];++j) {
k = adjncy[j];
if (k >= mynvtxs) {
S_calc_conn(v,myid,mynvtxs,xadj,adjncy,gvwgt, \
(pid_type const **)graph->where,graph->dist,nbrinfo[v].con);
break;
}
}
}
} else {
for (i=0;i<niface;++i) {
v = iface[i];
if (graph->where[myid][v] == MTMETIS_VSEP_SEP) {
S_calc_conn(v,myid,mynvtxs,xadj,adjncy,gvwgt, \
(pid_type const **)graph->where,graph->dist,nbrinfo[v].con);
}
}
}
}
static void S_metis_refine(
ctrl_type const * const ctrl,
graph_type * const graph,
int const * const locked)
{
vtx_type i, k;
adj_type j;
idx_t lnedges;
wgt_type lpwgts[3];
idx_t * xadj;
idx_t * adjncy;
tid_type const myid = dlthread_get_id(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
xadj = malloc(sizeof(idx_t)*(mynvtxs+1));
adjncy = malloc(sizeof(idx_t)*(graph->xadj[myid][mynvtxs]));
lnedges = 0;
xadj[0] = lnedges;
for (i=0;i<mynvtxs;++i) {
for (j=graph->xadj[myid][i];j<graph->xadj[myid][i+1];++j) {
k = graph->adjncy[myid][j];
if (k < mynvtxs) {
adjncy[lnedges] = k;
++lnedges;
}
}
xadj[i+1] = lnedges;
}
__METIS_NodeRefine(graph->mynvtxs[myid],xadj,(idx_t*)graph->vwgt[myid], \
adjncy,(idx_t*)graph->where[myid],(idx_t*)locked,1.03);
wgt_set(lpwgts,0,3);
for (i=0;i<mynvtxs;++i) {
lpwgts[graph->where[myid][i]] += graph->vwgt[myid][i];
}
wgt_dlthread_sumareduce(lpwgts,3,ctrl->comm);
if (myid == 0) {
wgt_copy(graph->pwgts,lpwgts,3);
graph->minsep = graph->pwgts[2];
}
dlthread_barrier(ctrl->comm);
dl_free(adjncy);
dl_free(xadj);
}
/******************************************************************************
* PARALLEL REFINEMENT PASSES **************************************************
******************************************************************************/
static vtx_type S_flow_GREEDY(
ctrl_type * const ctrl,
graph_type * const graph,
vsinfo_type * const vsinfo,
vsnbrinfo_type * const * const gnbrinfo,
update_combuffer_t * const combuffer,
vw_pq_t * const q,
pid_type const side,
wgt_type * const lpwgts,
wgt_type const maxpwgt)
{
vtx_type i, k, v, nmoves, lvtx;
adj_type j;
wgt_type newwgt, gain;
pid_type other;
tid_type nbrid, o, t;
update_type up;
vsnbrinfo_type * myrinfo;
update_buffer_t * updates;
tid_type const myid = dlthread_get_id(ctrl->comm);
tid_type const nthreads = dlthread_get_nthreads(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
pid_type * const * const gwhere = graph->where;
vsnbrinfo_type * const nbrinfo = vsinfo->nbrinfo;
vtx_iset_t * const bnd = vsinfo->bnd;
/* the side I'm not moving to */
other = side ^ 0x01;
nmoves = 0;
/* add my boundary vertices to the queue */
vw_pq_clear(q);
for (i=0;i<bnd->size;++i) {
v = bnd->ind[i];
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
myrinfo = nbrinfo + v;
gain = gvwgt[myid][v] - myrinfo->con[other];
vw_pq_push(gain,v,q);
}
/* make possible moves */
while (q->size > 0) {
v = vw_pq_pop(q);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
DL_ASSERT_EQUALS(vtx_iset_contains(v,bnd),1,"%d");
myrinfo = nbrinfo + v;
gain = gvwgt[myid][v] - myrinfo->con[other];
if (gain < 0 || (gain == 0 && lpwgts[side] >= lpwgts[other])) {
/* only move vertices with positive gain */
break;
}
#if 0
if (lpwgts[side] > lpwgts[other] && \
gain < gvwgt[myid][v] - myrinfo->con[side]) {
/* if its better to move this vertex to the other side,
* don't move it here */
continue;
}
#endif
newwgt = lpwgts[side] + gvwgt[myid][v];
if (newwgt > maxpwgt) {
/* this vertex will put us over the limit */
continue;
}
/* Once we have selected a vertex to move, we need to update several
* things:
* -the partition and separator weights
* -pull the neighboring vertices in 'other' into the separator
* -update the priorities of the affected vertives
*/
/* adjust partition weights */
lpwgts[side] += gvwgt[myid][v];
lpwgts[MTMETIS_VSEP_SEP] -= gvwgt[myid][v];
++nmoves;
/* at this point, we have decided to make the move */
gwhere[myid][v] = side;
/* remove the vertex from the boundary */
vtx_iset_remove(v,bnd);
/* process edges */
for (j=xadj[v];j<xadj[v+1];++j) {
k = adjncy[j];
if (k < mynvtxs) {
lvtx = k;
nbrid = myid;
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
/* update priorities of neighboring */
if (gwhere[nbrid][lvtx] == MTMETIS_VSEP_SEP) {
#pragma omp atomic
gnbrinfo[nbrid][lvtx].con[side] += gvwgt[myid][v];
}
if (nbrid == myid) {
S_update_neighbor(side,lvtx,myid,q,bnd,gnbrinfo,lpwgts,graph);
} else {
/* let the neighboring thread know about the move */
up.v = lvtx;
update_combuffer_add(nbrid,up,combuffer);
}
}
}
/* implicit barrier */
update_combuffer_send(combuffer);
/* recieve updates from other threads */
for (o=1;o<nthreads;++o) {
t = (myid + o) % nthreads;
updates = update_combuffer_get(t,combuffer);
for (i=0;i<(vtx_type)updates->size;++i) {
up = updates->elements[i];
v = up.v;
S_update_neighbor(side,v,myid,NULL,bnd,gnbrinfo,lpwgts,graph);
}
}
update_combuffer_clear(combuffer);
return nmoves;
}
static vtx_type S_flow_GREEDYI(
ctrl_type * const ctrl,
graph_type * const graph,
vsinfo_type * const vsinfo,
vsnbrinfo_type * const * const gnbrinfo,
update_combuffer_t * const combuffer,
vw_pq_t * const q,
pid_type const side,
wgt_type * const lpwgts,
wgt_type const maxpwgt,
vtx_type const * const iface,
vtx_type const niface)
{
vtx_type i, k, v, nmoves, lvtx;
adj_type j;
wgt_type newwgt, gain;
pid_type other;
tid_type nbrid, o, t;
update_type up;
vsnbrinfo_type * myrinfo;
update_buffer_t * updates;
tid_type const myid = dlthread_get_id(ctrl->comm);
tid_type const nthreads = dlthread_get_nthreads(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
pid_type * const * const gwhere = graph->where;
vsnbrinfo_type * const nbrinfo = vsinfo->nbrinfo;
vtx_iset_t * const bnd = vsinfo->bnd;
/* the side I'm not moving to */
other = side ^ 0x01;
nmoves = 0;
/* add my boundary vertices to the queue */
vw_pq_clear(q);
for (i=0;i<niface;++i) {
v = iface[i];
if (gwhere[myid][v] == MTMETIS_VSEP_SEP) {
myrinfo = nbrinfo + v;
gain = gvwgt[myid][v] - myrinfo->con[other];
vw_pq_push(gain,v,q);
}
}
/* make possible moves */
while (q->size > 0) {
v = vw_pq_pop(q);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
DL_ASSERT_EQUALS(vtx_iset_contains(v,bnd),1,"%d");
myrinfo = nbrinfo + v;
gain = gvwgt[myid][v] - myrinfo->con[other];
if (gain < 0 || (gain == 0 && lpwgts[side] >= lpwgts[other])) {
/* only move vertices with positive gain */
break;
}
#if 0
if (lpwgts[side] > lpwgts[other] && \
gain < gvwgt[myid][v] - myrinfo->con[side]) {
/* if its better to move this vertex to the other side,
* don't move it here */
continue;
}
#endif
newwgt = lpwgts[side] + gvwgt[myid][v];
if (newwgt > maxpwgt) {
/* this vertex will put us over the limit */
continue;
}
/* Once we have selected a vertex to move, we need to update several
* things:
* -the partition and separator weights
* -pull the neighboring vertices in 'other' into the separator
* -update the priorities of the affected vertives
*/
/* adjust partition weights */
lpwgts[side] += gvwgt[myid][v];
lpwgts[MTMETIS_VSEP_SEP] -= gvwgt[myid][v];
++nmoves;
/* at this point, we have decided to make the move */
gwhere[myid][v] = side;
/* remove the vertex from the boundary */
vtx_iset_remove(v,bnd);
/* process edges */
for (j=xadj[v];j<xadj[v+1];++j) {
k = adjncy[j];
if (k < mynvtxs) {
lvtx = k;
nbrid = myid;
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
/* update priorities of neighboring */
if (gwhere[nbrid][lvtx] == MTMETIS_VSEP_SEP) {
#pragma omp atomic
gnbrinfo[nbrid][lvtx].con[side] += gvwgt[myid][v];
}
if (nbrid == myid) {
S_update_neighbor(side,lvtx,myid,NULL,bnd,gnbrinfo,lpwgts,graph);
} else {
/* let the neighboring thread know about the move */
up.v = lvtx;
update_combuffer_add(nbrid,up,combuffer);
}
}
}
/* implicit barrier */
update_combuffer_send(combuffer);
/* recieve updates from other threads */
for (o=1;o<nthreads;++o) {
t = (myid + o) % nthreads;
updates = update_combuffer_get(t,combuffer);
for (i=0;i<(vtx_type)updates->size;++i) {
up = updates->elements[i];
v = up.v;
S_update_neighbor(side,v,myid,NULL,bnd,gnbrinfo,lpwgts,graph);
}
}
update_combuffer_clear(combuffer);
return nmoves;
}
static vtx_type S_flow_SFM(
ctrl_type * const ctrl,
graph_type * const graph,
vsinfo_type * const vsinfo,
vtx_type * const moves,
vtx_type * const pullmk,
vtx_type * const pulled,
vw_pq_t * const q,
int * const locked,
pid_type const side,
wgt_type * const lpwgts,
wgt_type const maxpwgt)
{
vtx_type i, k, v, m, nmoves, minmove;
adj_type j, npulled, l;
wgt_type minsep, newbal, minbal, gain, cursep;
pid_type p, other;
vsnbrinfo_type * myrinfo;
tid_type const myid = dlthread_get_id(ctrl->comm);
tid_type const nthreads = dlthread_get_nthreads(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
wgt_type const * const vwgt = graph->vwgt[myid];
pid_type * const * const gwhere = graph->where;
pid_type * const where = gwhere[myid];
vsnbrinfo_type * const nbrinfo = vsinfo->nbrinfo;
vtx_iset_t * const bnd = vsinfo->bnd;
vtx_type const limit = ctrl->hillsize/sqrt(nthreads);
other = side ^ 0x01;
nmoves = 0;
minmove = 0;
npulled = 0;
pullmk[1] = 0;
minbal = wgt_abs_diff(lpwgts[0],lpwgts[1]);
vw_pq_clear(q);
for (i=0;i<bnd->size;++i) {
v = bnd->ind[i];
if (S_valid_move(v,side,locked)) {
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,where[v],"%"PF_PID_T);
myrinfo = nbrinfo + v;
gain = vwgt[v] - myrinfo->con[other];
vw_pq_push(gain,v,q);
}
}
cursep = minsep = graph->minsep;
/* make possible moves */
while (nmoves < mynvtxs && q->size > 0) {
v = vw_pq_pop(q);
DL_ASSERT(S_valid_move(v,side,locked),"Pulled a vertex " \
"from %"PF_PID_T" but is locked to %"PF_PID_T,side,locked[v]);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,where[v],"%"PF_PID_T);
DL_ASSERT_EQUALS(vtx_iset_contains(v,bnd),1,"%d");
if (lpwgts[side] >= maxpwgt) {
break;
}
if (lpwgts[side] + vwgt[v] > maxpwgt) {
continue;
}
/* make sure we have space to record the vertices added to the
* separator */
if (npulled + xadj[v+1] - xadj[v] >= 2*mynvtxs-1) {
/* roll back to our best state */
break;
}
/* update our minimum objective value or check to make sure we
* haven't passed the search limit */
cursep = cursep - (vwgt[v]-nbrinfo[v].con[other]);
newbal = wgt_abs_diff(lpwgts[side]+vwgt[v], \
lpwgts[other]-nbrinfo[v].con[other]);
if (cursep < minsep || \
(cursep == minsep && newbal < minbal)) {
minsep = cursep;
minmove = nmoves+1;
/* we only need to abs this here, as if its negative, it means the
* move increases the balance */
minbal = newbal;
} else {
if (nmoves-minmove+1 > limit) {
/* revert back to best cut */
break;
}
}
/* Once we have selected a vertex to move, we need to update several
* things:
* -the partition and separator weights
* -pull the neighboring vertices in 'other' into the separator
* -update the priorities of the affected vertives
*/
/* at this point, we have decided to make the move */
myrinfo = nbrinfo + v;
where[v] = side;
moves[++nmoves] = v; /* count one up */
/* remove the vertex from the boundary -- and opposing pq */
vtx_iset_remove(v,bnd);
/* adjust partition weights */
lpwgts[side] += vwgt[v];
lpwgts[MTMETIS_VSEP_SEP] -= vwgt[v];
/* process edges */
for (j=xadj[v];j<xadj[v+1];++j) {
k = adjncy[j];
if (k < mynvtxs) {
if (where[k] == MTMETIS_VSEP_SEP) {
/* update priorities of neighboring vertiecs */
nbrinfo[k].con[side] += vwgt[v];
} else if (where[k] == other) {
/* pull this vertex into the separator */
DL_ASSERT_EQUALS(vtx_iset_contains(k,bnd),0,"%d");
/* record vertex being pulled into the separator */
pulled[npulled++] = k;
/* actually move the vertex */
vtx_iset_add(k,bnd);
where[k] = MTMETIS_VSEP_SEP;
/* calculate the connectivity */
S_calc_conn(k,myid,mynvtxs,xadj,adjncy,gvwgt, \
(pid_type const **)gwhere,graph->dist,nbrinfo[k].con);
/* update the partition weights */
lpwgts[other] -= vwgt[k];
lpwgts[MTMETIS_VSEP_SEP] += vwgt[k];
/* add the vertex to the priority queue for further movement */
if (S_valid_move(k,side,locked)) {
gain = vwgt[k] - nbrinfo[k].con[other];
vw_pq_push(gain,k,q);
}
/* update neighbors of the vertices pulled into the separator */
for (l=xadj[k];l<xadj[k+1];++l) {
m = adjncy[l];
if (m < mynvtxs) {
if (where[m] == MTMETIS_VSEP_SEP) {
/* this vertex is in the separator, and is now more likely
* to move. */
/* update connectivity */
nbrinfo[m].con[other] -= vwgt[k];
if (S_valid_move(m,side,locked)) {
/* update the value for moving this vertex in the same
* diretion */
if (vw_pq_contains(m,q)) {
gain = vwgt[m] - nbrinfo[m].con[other];
vw_pq_update(gain,m,q);
}
}
}
}
}
}
}
}
/* mark the number of vertices I pulled into the boundary */
pullmk[nmoves+1] = npulled;
}
par_dprintf("SFM1S: Pass %zu finished, sep = %"PF_WGT_T", rolling back %" \
PF_VTX_T"/%"PF_VTX_T" moves\n",(size_t)0,lpwgts[MTMETIS_VSEP_SEP], \
nmoves-minmove,nmoves);
/* rollback until we are back at the maximum state -- moves must be
* undone in reverse of the order in which they were made */
while (nmoves > minmove) {
v = moves[nmoves];
DL_ASSERT(side != MTMETIS_VSEP_SEP,"ATtempting to unmove vertex %" \
PF_VTX_T" in separator\n",v);
/* unmove this vertex */
lpwgts[MTMETIS_VSEP_SEP] += vwgt[v];
lpwgts[side] -= vwgt[v];
where[v] = MTMETIS_VSEP_SEP;
vtx_iset_add(v,bnd);
/* adjust priorities of neighboring vertices and re-calculate
* connectivity */
wgt_set(nbrinfo[v].con,0,2);
for (j=xadj[v];j<xadj[v+1];++j) {
k = adjncy[j];
if (k < mynvtxs) {
p = where[k];
if (p == MTMETIS_VSEP_SEP) {
nbrinfo[k].con[side] -= vwgt[v];
}
}
}
S_calc_conn(v,myid,mynvtxs,xadj,adjncy,gvwgt,(pid_type const **)gwhere, \
graph->dist,nbrinfo[v].con);
/* push nodes back out of the separator */
for (i=pullmk[nmoves];i<pullmk[nmoves+1];++i) {
k = pulled[i];
DL_ASSERT_EQUALS(where[k],MTMETIS_VSEP_SEP,"%"PF_PID_T);
/* move the vertex */
where[k] = other;
/* adjust partition weights */
lpwgts[other] += vwgt[k];
lpwgts[MTMETIS_VSEP_SEP] -= vwgt[k];
/* remove the vertex from the boundary */
vtx_iset_remove(k,bnd);
/* update neighbor-neighbor connectivity */
for (l=xadj[k];l<xadj[k+1];++l) {
m = adjncy[l];
if (m < mynvtxs) {
if (where[m] == MTMETIS_VSEP_SEP) {
nbrinfo[m].con[other] += vwgt[k];
}
}
}
S_calc_conn(k,myid,mynvtxs,xadj,adjncy,gvwgt,(pid_type const **)gwhere, \
graph->dist,nbrinfo[k].con);
}
/* go to the next move */
--nmoves;
}
return nmoves;
}
static void S_pass_BAL(
ctrl_type * const ctrl,
graph_type * const graph,
vsinfo_type * const vsinfo,
wgt_type const maxpwgt)
{
unsigned int seed;
vtx_type i, k, v, nmoves, lvtx;
adj_type j;
wgt_type gain;
tid_type o, nbrid, t;
pid_type side, other;
update_type up;
wgt_type mvwgt;
vtx_type * perm;
vsnbrinfo_type * myrinfo;
update_buffer_t * updates;
wgt_type lpwgts[3];
update_combuffer_t * combuffer;
vsnbrinfo_type ** gnbrinfo;
vw_pq_t * q;
tid_type const myid = dlthread_get_id(ctrl->comm);
tid_type const nthreads = dlthread_get_nthreads(ctrl->comm);
vtx_type const nvtxs = graph->nvtxs;
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
wgt_type * const pwgts = graph->pwgts;
pid_type * const * const gwhere = graph->where;
vsnbrinfo_type * const nbrinfo = vsinfo->nbrinfo;
vtx_iset_t * const bnd = vsinfo->bnd;
gnbrinfo = dlthread_get_shmem(sizeof(vsnbrinfo_type*)*nthreads,ctrl->comm);
gnbrinfo[myid] = vsinfo->nbrinfo;
combuffer = update_combuffer_create(ctrl->comm);
q = vw_pq_create(0,mynvtxs);
seed = ctrl->seed + myid;
/* The overall algorithm for a balance bass work by prioritizing vertices and
* moving them from the heavy side to the light until balanced is achieved.
*/
perm = vtx_alloc(mynvtxs);
wgt_copy(lpwgts,pwgts,3);
/* initial tracking variables */
if (lpwgts[0] > lpwgts[1]) {
side = 1;
} else {
side = 0;
}
other = side ^ 0x01;
/* how much weight I should move */
mvwgt = (pwgts[other] - maxpwgt) / nthreads;
vw_pq_clear(q);
vtx_copy(perm,bnd->ind,bnd->size);
vtx_pseudo_shuffle_r(perm,bnd->size/8,bnd->size,&seed);
for (i=0;i<bnd->size;++i) {
v = perm[i];
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
myrinfo = nbrinfo + v;
gain = gvwgt[myid][v] - myrinfo->con[other];
vw_pq_push(gain,v,q);
}
nmoves = 0;
/* make sure we got a good copy of the pwgts */
dlthread_barrier(ctrl->comm);
/* make possible moves */
while (nmoves < nvtxs && q->size > 0) {
v = vw_pq_pop(q);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
DL_ASSERT_EQUALS(vtx_iset_contains(v,bnd),1,"%d");
/* we made the required moves */
if (mvwgt < 0) {
break;
}
gain = gvwgt[myid][v] - nbrinfo[v].con[other];
if (gain < 0 && mvwgt > nbrinfo[v].con[other]/2) {
continue;
}
if (gvwgt[myid][v] + lpwgts[side] >= maxpwgt) {
/* moving this vertex will be bad, see other options */
break;
}
/* Once we have selected a vertex to move, we need to update several
* things:
* -the partition and separator weights
* -pull the neighboring vertices in 'other' into the separator
* -update the priorities of the affected vertives
*/
++nmoves;
/* we're increasing side by this amount */
//mvwgt -= gvwgt[myid][v];
/* we update location of a vertex leaving the separator, before updating
* its neighbors */
gwhere[myid][v] = side;
/* at this point, we have decided to make the move */
myrinfo = nbrinfo + v;
/* remove the vertex from the boundary -- and opposing pq */
vtx_iset_remove(v,bnd);
/* adjust partition weights */
lpwgts[side] += gvwgt[myid][v];
lpwgts[MTMETIS_VSEP_SEP] -= gvwgt[myid][v];
/* process edges */
for (j=xadj[v];j<xadj[v+1];++j) {
k = adjncy[j];
if (k < mynvtxs) {
lvtx = k;
nbrid = myid;
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
if (gwhere[nbrid][lvtx] == MTMETIS_VSEP_SEP) {
/* update priorities of neighboring */
gnbrinfo[nbrid][lvtx].con[side] += gvwgt[myid][v];
}
if (nbrid == myid) {
S_update_neighbor(side,lvtx,myid,q,bnd,gnbrinfo,lpwgts,graph);
} else {
/* let the neighboring thread know about the move */
up.v = lvtx;
update_combuffer_add(nbrid,up,combuffer);
}
/* we're decreasing other by this amount */
mvwgt -= gvwgt[nbrid][lvtx];
}
}
/* implicit barrier */
update_combuffer_send(combuffer);
/* recieve updates from other threads */
for (o=1;o<nthreads;++o) {
t = (myid + o) % nthreads;
updates = update_combuffer_get(t,combuffer);
for (i=0;i<(vtx_type)updates->size;++i) {
up = updates->elements[i];
v = up.v;
S_update_neighbor(side,v,myid,NULL,bnd,gnbrinfo,lpwgts,graph);
}
}
update_combuffer_clear(combuffer);
lpwgts[0] -= pwgts[0];
lpwgts[1] -= pwgts[1];
lpwgts[MTMETIS_VSEP_SEP] -= pwgts[MTMETIS_VSEP_SEP];
wgt_dlthread_sumareduce(lpwgts,3,ctrl->comm);
if (myid == 0) {
pwgts[0] += lpwgts[0];
pwgts[1] += lpwgts[1];
graph->minsep = pwgts[MTMETIS_VSEP_SEP] += lpwgts[MTMETIS_VSEP_SEP];
ctrl->seed = seed;
}
dlthread_free_shmem(gnbrinfo,ctrl->comm);
update_combuffer_free(combuffer);
vw_pq_free(q);
dl_free(perm);
S_fix_iface(ctrl,graph,vsinfo,NULL,0);
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)gwhere), \
"Bad vsinfo after balancing");
DL_ASSERT(check_vsbnd(bnd,graph),"Bad boundary after balancing");
}
static vtx_type S_pass_SFM1S(
ctrl_type * const ctrl,
graph_type * const graph,
vsinfo_type * const vsinfo,
vtx_type * const moves,
vtx_type * const pullmk,
vtx_type * const pulled,
vw_pq_t * const q,
int * const locked,
vtx_type const * const iface,
vtx_type const niface,
wgt_type const maxpwgt)
{
size_t d, nnomoves;
vtx_type nmoves, totalmoves;
pid_type side, o;
wgt_type lpwgts[3];
tid_type const myid = dlthread_get_id(ctrl->comm);
wgt_type * const pwgts = graph->pwgts;
totalmoves = 0;
/* initial tracking variables */
if (pwgts[0] > pwgts[1]) {
o = 1;
} else if (pwgts[0] < pwgts[1]) {
o = 0;
} else {
o = graph->level % 2;
}
wgt_copy(lpwgts,pwgts,3);
nnomoves = 0;
for (d=0;d<ctrl->nrefpass*2;++d) {
side = (d + o) % 2;
nmoves = S_flow_SFM(ctrl,graph,vsinfo,moves,pullmk,pulled,q,locked,side, \
lpwgts,maxpwgt);
if (nmoves == 0) {
if (++nnomoves == 2) {
break;
}
} else {
totalmoves += nmoves;
nnomoves = 0;
}
}
S_sync_pwgts(myid,pwgts,lpwgts,ctrl->comm);
if (myid == 0) {
ctrl->seed = ctrl->seed+1;
}
S_fix_iface(ctrl,graph,vsinfo,iface,niface);
/* implicit barrier */
totalmoves = vtx_dlthread_sumreduce(totalmoves,ctrl->comm);
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)graph->where), \
"Bad vsinfo after refinement");
DL_ASSERT(check_vsbnd(vsinfo->bnd,graph),"Bad boundary after " \
"refinement");
#ifdef USE_ASSERTS
dlthread_barrier(ctrl->comm);
#endif
return totalmoves;
}
static vtx_type S_pass_GREEDY(
ctrl_type * const ctrl,
graph_type * const graph,
vsinfo_type * const vsinfo,
vsnbrinfo_type * const * const gnbrinfo,
update_combuffer_t * const combuffer,
vw_pq_t * const q,
vtx_type const * const iface,
vtx_type const niface,
wgt_type const maxpwgt,
int const bnd)
{
vtx_type nnone, dnmoves, nmoves;
pid_type o, side, d;
wgt_type lpwgts[3];
tid_type const myid = dlthread_get_id(ctrl->comm);
wgt_type * const pwgts = graph->pwgts;
if (pwgts[0] > pwgts[1]) {
o = 1;
} else if (pwgts[0] < pwgts[1]) {
o = 0;
} else {
o = graph->level % 2;
}
/* make local copies of the partition weights */
wgt_copy(lpwgts,pwgts,MTMETIS_VSEP_NPARTS);
nmoves = 0;
nnone = 0;
for (d=0;d<ctrl->nrefpass;++d) {
side = (d + o) % 2;
if (bnd) {
/* interface only refinement */
dnmoves = S_flow_GREEDYI(ctrl,graph,vsinfo,gnbrinfo,combuffer,q,side, \
lpwgts,maxpwgt,iface,niface);
} else {
/* regular greedy refinment */
dnmoves = S_flow_GREEDY(ctrl,graph,vsinfo,gnbrinfo,combuffer,q,side, \
lpwgts,maxpwgt);
}
/* implicit barrier */
dnmoves = vtx_dlthread_sumreduce(dnmoves,ctrl->comm);
if (myid == 0) {
ctrl->seed = ctrl->seed+1;
}
/* make sure have good information at the end of each half-pass */
S_fix_iface(ctrl,graph,vsinfo,iface,niface);
if (dnmoves == 0) {
if (++nnone == 2) {
break;
}
} else {
nnone = 0;
nmoves += dnmoves;
}
}
/* implicit barrier */
S_sync_pwgts(myid,pwgts,lpwgts,ctrl->comm);
return nmoves;
}
/******************************************************************************
* PARALLEL REFINEMENT FUNCTIONS ***********************************************
******************************************************************************/
static vtx_type S_vseprefine_FM(
ctrl_type * const ctrl,
graph_type * const graph,
size_t const niter,
vsinfo_type * const vsinfo,
wgt_type const maxpwgt)
{
vtx_type i, k, g, v, m, nmoves, lvtx, olvtx, minmove, totalmoves, ntotalmoves;
adj_type j, npulled, l;
wgt_type minsep, newbal, minbal, gain, cursep;
pid_type side, other, p;
tid_type nbrid, onbrid, myid;
vtx_type * moves, * pulled, * pullmk;
vsnbrinfo_type * myrinfo;
size_t pass;
vw_pq_t * q[2];
int ** glocked;
vsnbrinfo_type ** gnbrinfo;
vtx_iset_t ** gbnd;
tid_type const nthreads = graph->dist.nthreads;
vtx_type const nvtxs = graph->nvtxs;
vtx_type const * const gmynvtxs = graph->mynvtxs;
adj_type const * const * const gxadj = (adj_type const **)graph->xadj;
vtx_type const * const * const gadjncy = (vtx_type const **)graph->adjncy;
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
wgt_type * const pwgts = graph->pwgts;
pid_type * const * const gwhere = graph->where;
vtx_type const limit = ctrl->hillsize;
DL_ASSERT_EQUALS(nthreads,graph->dist.nthreads,"%"PF_TID_T);
myid = dlthread_get_id(ctrl->comm);
glocked = dlthread_get_shmem((sizeof(int*)*nthreads) + \
(sizeof(vsnbrinfo_type*)*nthreads) + \
(sizeof(vtx_iset_t*)*nthreads),ctrl->comm);
gnbrinfo = (vsnbrinfo_type**)(glocked+nthreads);
gbnd = (vtx_iset_t**)(gnbrinfo+nthreads);
gnbrinfo[myid] = vsinfo->nbrinfo;
glocked[myid] = int_alloc(gmynvtxs[myid]);
gbnd[myid] = vsinfo->bnd;
dlthread_barrier(ctrl->comm);
/* allocate stuff only needed by master thread */
if (myid == 0) {
moves = vtx_alloc(nvtxs+1); /* we start at 1 not 0 */
pullmk = vtx_alloc(nvtxs+2);
pulled = vtx_alloc(nvtxs*3);
/* setup priority queues */
q[MTMETIS_VSEP_PARTA] = vw_pq_create(0,graph->gnvtxs);
q[MTMETIS_VSEP_PARTB] = vw_pq_create(0,graph->gnvtxs);
} else {
/* suppress compiler warnings */
moves = NULL;
pullmk = NULL;
pulled = NULL;
q[MTMETIS_VSEP_PARTA] = NULL;
q[MTMETIS_VSEP_PARTB] = NULL;
}
ntotalmoves = 0;
for (pass=0;pass<niter;++pass) {
/* The overall algorithm for a refinement pass looks as follows:
* -Greedily select balanced moves to make, ensuring balance is maintained.
* -Track the maximum objective state, and return to it at the end of each
* pass.
*/
/* reset locked state in parallel */
myid = dlthread_get_id(ctrl->comm);
int_set(glocked[myid],UNLOCKED,gmynvtxs[myid]);
totalmoves = 0;
dlthread_barrier(ctrl->comm);
/* add boundary vertices to the queue */
if (myid == 0) {
/* initial tracking variables */
nmoves = 0;
npulled = 0;
pullmk[1] = 0;
minmove = 0;
minbal = wgt_abs_diff(pwgts[0],pwgts[1]);
cursep = minsep = graph->minsep;
/* setup priority queues */
for (p=0;p<MTMETIS_VSEP_SEP;++p) {
vw_pq_clear(q[p]);
}
for (myid=0;myid<nthreads;++myid) {
for (i=0;i<gbnd[myid]->size;++i) {
v = vtx_iset_get(i,gbnd[myid]);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
myrinfo = gnbrinfo[myid] + v;
g = lvtx_to_gvtx(v,myid,graph->dist);
for (p=0;p<MTMETIS_VSEP_SEP;++p) {
gain = gvwgt[myid][v] - myrinfo->con[p^0x01];
vw_pq_push(gain,g,q[p]);
}
}
}
/* make possible moves */
while (nmoves < nvtxs) {
side = S_pick_side(graph,pwgts,maxpwgt, \
(vsnbrinfo_type const **)gnbrinfo,q);
if (side == NULL_PID) {
/* we've emptied the priority queues */
break;
}
/* the side I'm not moving to */
other = side ^ 0x01;
g = vw_pq_pop(q[side]);
v = gvtx_to_lvtx(g,graph->dist);
myid = gvtx_to_tid(g,graph->dist);
DL_ASSERT(glocked[myid][v] != (int)other,"Pulled a vertex " \
"from %"PF_PID_T" but is locked to %"PF_PID_T,side,other);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
DL_ASSERT_EQUALS(vtx_iset_contains(v,gbnd[myid]),1,"%d");
/* make sure we have space to record the vertices added to the
* separator */
if (npulled + gxadj[myid][v+1] - gxadj[myid][v] >= 2*nvtxs-1) {
/* roll back to our best state */
break;
}
/* update our minimum objective value or check to make sure we
* haven't passed the search limit */
cursep = cursep - (gvwgt[myid][v]-gnbrinfo[myid][v].con[other]);
newbal = wgt_abs_diff(pwgts[side]+gvwgt[myid][v], \
pwgts[other]-gnbrinfo[myid][v].con[other]);
if (cursep < minsep || \
(cursep == minsep && newbal < minbal)) {
minsep = cursep;
minmove = nmoves+1;
/* we only need to abs this here, as if its negative, it means the
* move increases the balance */
minbal = newbal;
} else {
if (nmoves-minmove+1 > 2*limit || \
(nmoves-minmove+1 > limit && cursep > 1.1*minsep)) {
/* revert back to best cut */
break;
}
}
/* Once we have selected a vertex to move, we need to update several
* things:
* -the partition and separator weights
* -pull the neighboring vertices in 'other' into the separator
* -update the priorities of the affected vertives
*/
/* at this point, we have decided to make the move */
myrinfo = gnbrinfo[myid] + v;
gwhere[myid][v] = side;
moves[++nmoves] = g; /* count one up */
S_lock(v,glocked[myid],side);
/* remove the vertex from the boundary -- and opposing pq */
vtx_iset_remove(v,gbnd[myid]);
if (vw_pq_contains(g,q[other])) {
vw_pq_remove(g,q[other]);
}
/* adjust partition weights */
pwgts[side] += gvwgt[myid][v];
pwgts[MTMETIS_VSEP_SEP] -= gvwgt[myid][v];
/* process edges */
for (j=gxadj[myid][v];j<gxadj[myid][v+1];++j) {
k = gadjncy[myid][j];
if (k < gmynvtxs[myid]) {
lvtx = k;
nbrid = myid;
k = lvtx_to_gvtx(lvtx,nbrid,graph->dist);
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
/* from here k is a global vertex number */
if (gwhere[nbrid][lvtx] == MTMETIS_VSEP_SEP) {
/* update priorities of neighboring vertiecs */
gnbrinfo[nbrid][lvtx].con[side] += gvwgt[myid][v];
/* modify the gain/connectivity of other vertices in
* separator */
if (glocked[nbrid][lvtx] != (int)side) {
/* demote this vertex in the priority queue */
gain = gvwgt[nbrid][lvtx] - \
gnbrinfo[nbrid][lvtx].con[side];
vw_pq_update(gain,k,q[other]);
}
/* we do not need to update the 'side' priority queue, as the
* gain associate with moving 'k' to 'side' remains the same */
} else if (gwhere[nbrid][lvtx] == other) {
/* pull this vertex into the separator */
DL_ASSERT_EQUALS(vtx_iset_contains(lvtx,gbnd[nbrid]),0, \
"%d");
/* record vertex being pulled into the separator */
pulled[npulled++] = k;
/* actually move the vertex */
vtx_iset_add(lvtx,gbnd[nbrid]);
gwhere[nbrid][lvtx] = MTMETIS_VSEP_SEP;
/* calculate the connectivity */
wgt_set(gnbrinfo[nbrid][lvtx].con,0,2);
for (l=gxadj[nbrid][lvtx];l<gxadj[nbrid][lvtx+1];++l) {
m = gadjncy[nbrid][l];
if (m < gmynvtxs[nbrid]) {
olvtx = m;
onbrid = nbrid;
} else {
olvtx = gvtx_to_lvtx(m,graph->dist);
onbrid = gvtx_to_tid(m,graph->dist);
}
p = gwhere[onbrid][olvtx];
if (p < MTMETIS_VSEP_SEP) {
gnbrinfo[nbrid][lvtx].con[p] += gvwgt[onbrid][olvtx];
}
}
/* update the partition weights */
pwgts[other] -= gvwgt[nbrid][lvtx];
pwgts[MTMETIS_VSEP_SEP] += gvwgt[nbrid][lvtx];
/* add the vertex to the priority queue for further movement */
if (glocked[nbrid][lvtx] != (int)other) {
gain = gvwgt[nbrid][lvtx] - \
gnbrinfo[nbrid][lvtx].con[other];
vw_pq_push(gain,k,q[side]);
}
if (glocked[nbrid][lvtx] != (int)side) {
gain = gvwgt[nbrid][lvtx] - \
gnbrinfo[nbrid][lvtx].con[side];
vw_pq_push(gain,k,q[other]);
}
/* update neighbors of the vertices pulled into the separator */
for (l=gxadj[nbrid][lvtx];l<gxadj[nbrid][lvtx+1];++l) {
m = gadjncy[nbrid][l];
if (m < gmynvtxs[nbrid]) {
/* local vertex */
olvtx = m;
onbrid = nbrid;
m = lvtx_to_gvtx(olvtx,onbrid,graph->dist);
} else {
/* remote vertex */
olvtx = gvtx_to_lvtx(m,graph->dist);
onbrid = gvtx_to_tid(m,graph->dist);
}
if (gwhere[onbrid][olvtx] == MTMETIS_VSEP_SEP) {
/* update connectivity */
gnbrinfo[onbrid][olvtx].con[other] -= gvwgt[nbrid][lvtx];
/* this vertex is in the separator, and is now more likely
* to move. */
if (glocked[onbrid][olvtx] != (int)other) {
/* update the value for moving this vertex in the same
* diretion */
gain = gvwgt[onbrid][olvtx] - \
gnbrinfo[onbrid][olvtx].con[other];
DL_ASSERT(vw_pq_contains(m,q[side]), \
"Vertex %"PF_VTX_T" not in queue for side %" \
PF_PID_T"\n",olvtx,side);
vw_pq_update(gain,m,q[side]);
}
}
}
}
}
/* mark the number of vertices I pulled into the boundary */
pullmk[nmoves+1] = npulled;
DL_ASSERT_EQUALS(pwgts[MTMETIS_VSEP_SEP],cursep,"%"PF_WGT_T);
}
dprintf("FM: Pass %zu finished, sep = %"PF_WGT_T", rolling back %" \
PF_VTX_T"/%"PF_VTX_T" moves\n",pass,pwgts[MTMETIS_VSEP_SEP], \
nmoves-minmove,nmoves);
/* rollback until we are back at the maximum state -- moves must be
* undone in reverse of the order in which they were made */
while (nmoves > minmove) {
g = moves[nmoves];
v = gvtx_to_lvtx(g,graph->dist);
myid = gvtx_to_tid(g,graph->dist);
side = gwhere[myid][v];
other = side ^ 0x01;
DL_ASSERT(side != MTMETIS_VSEP_SEP,"ATtempting to unmove vertex %" \
PF_VTX_T" in separator\n",v);
/* unmove this vertex */
pwgts[MTMETIS_VSEP_SEP] += gvwgt[myid][v];
pwgts[side] -= gvwgt[myid][v];
gwhere[myid][v] = MTMETIS_VSEP_SEP;
vtx_iset_add(v,gbnd[myid]);
/* calculate the connectivity */
wgt_set(gnbrinfo[myid][v].con,0,2);
for (j=gxadj[myid][v];j<gxadj[myid][v+1];++j) {
k = gadjncy[myid][j];
if (k < gmynvtxs[myid]) {
lvtx = k;
nbrid = myid;
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
p = gwhere[nbrid][lvtx];
/* adjust priorities of neighboring vertices */
if (p == MTMETIS_VSEP_SEP) {
gnbrinfo[nbrid][lvtx].con[side] -= gvwgt[myid][v];
} else {
gnbrinfo[myid][v].con[p] += gvwgt[nbrid][lvtx];
}
}
/* push nodes back out of the separator */
for (i=pullmk[nmoves];i<pullmk[nmoves+1];++i) {
k = pulled[i];
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
DL_ASSERT_EQUALS(gwhere[nbrid][lvtx],MTMETIS_VSEP_SEP,"%"PF_PID_T);
/* move the vertex */
gwhere[nbrid][lvtx] = other;
/* adjust partition weights */
pwgts[other] += gvwgt[nbrid][lvtx];
pwgts[MTMETIS_VSEP_SEP] -= gvwgt[nbrid][lvtx];
/* remove the vertex from the boundary */
vtx_iset_remove(lvtx,gbnd[nbrid]);
/* update neighbor-neighbor connectivity */
for (l=gxadj[nbrid][lvtx];l<gxadj[nbrid][lvtx+1];++l) {
m = gadjncy[nbrid][l];
if (m < gmynvtxs[nbrid]) {
/* local vertex */
olvtx = m;
onbrid = nbrid;
m = lvtx_to_gvtx(olvtx,onbrid,graph->dist);
} else {
/* remote vertex */
olvtx = gvtx_to_lvtx(m,graph->dist);
onbrid = gvtx_to_tid(m,graph->dist);
}
if (gwhere[onbrid][olvtx] == MTMETIS_VSEP_SEP) {
gnbrinfo[onbrid][olvtx].con[other] += gvwgt[nbrid][lvtx];
}
}
}
/* go to the next move */
--nmoves;
}
DL_ASSERT_EQUALS(minsep,pwgts[MTMETIS_VSEP_SEP],"%"PF_WGT_T);
graph->minsep = minsep;
totalmoves += nmoves;
}
totalmoves = vtx_dlthread_sumreduce(totalmoves,ctrl->comm);
if (totalmoves == 0) {
/* exit the refinement pass if we do not make any moves */
break;
}
ntotalmoves += totalmoves;
}
myid = dlthread_get_id(ctrl->comm);
if (myid == 0) {
dl_free(moves);
dl_free(pulled);
dl_free(pullmk);
vw_pq_free(q[MTMETIS_VSEP_PARTA]);
vw_pq_free(q[MTMETIS_VSEP_PARTB]);
}
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)gwhere), \
"Bad vsinfo after refinement");
DL_ASSERT(check_vsbnd(gbnd[myid],graph),"Bad boundary after " \
"refinement");
dl_free(glocked[myid]);
dlthread_free_shmem(glocked,ctrl->comm);
return ntotalmoves;
}
static vtx_type S_vseprefine_FM1S(
ctrl_type * const ctrl,
graph_type * const graph,
size_t const niter,
vsinfo_type * const vsinfo,
wgt_type const maxpwgt)
{
vtx_type i, k, g, v, m, nmoves, lvtx, olvtx, minmove, totalmoves, ntotalmoves;
adj_type j, npulled, l;
wgt_type minsep, newbal, minbal, gain, cursep;
pid_type side, other, o, d, me;
tid_type nbrid, onbrid, myid;
vtx_type * moves, * pulled, * pullmk;
vsnbrinfo_type * myrinfo;
size_t pass;
vw_pq_t * q;
vsnbrinfo_type ** gnbrinfo;
vtx_iset_t ** gbnd;
tid_type const nthreads = graph->dist.nthreads;
vtx_type const nvtxs = graph->nvtxs;
vtx_type const * const gmynvtxs = graph->mynvtxs;
adj_type const * const * const gxadj = (adj_type const **)graph->xadj;
vtx_type const * const * const gadjncy = (vtx_type const **)graph->adjncy;
wgt_type const * const * const gvwgt = (wgt_type const **)graph->vwgt;
wgt_type * const pwgts = graph->pwgts;
pid_type * const * const gwhere = graph->where;
vtx_type const limit = ctrl->hillsize;
DL_ASSERT_EQUALS(nthreads,graph->dist.nthreads,"%"PF_TID_T);
myid = dlthread_get_id(ctrl->comm);
gnbrinfo = dlthread_get_shmem((sizeof(vsnbrinfo_type*)*nthreads) + \
(sizeof(vtx_iset_t*)*nthreads),ctrl->comm);
gbnd = (vtx_iset_t**)(gnbrinfo+nthreads);
gnbrinfo[myid] = vsinfo->nbrinfo;
gbnd[myid] = vsinfo->bnd;
/* allocate stuff only needed by master thread */
if (myid == 0) {
moves = vtx_alloc(nvtxs+1); /* we start at 1 not 0 */
pullmk = vtx_alloc(nvtxs+2);
pulled = vtx_alloc(nvtxs*3);
/* setup priority queues */
q = vw_pq_create(0,graph->gnvtxs);
} else {
/* suppress compiler warnings */
moves = NULL;
pullmk = NULL;
pulled = NULL;
q = NULL;
}
ntotalmoves = 0;
for (pass=0;pass<niter;++pass) {
/* The overall algorithm for a refinement pass looks as follows:
* -Greedily select balanced moves to make, ensuring balance is maintained.
* -Track the maximum objective state, and return to it at the end of each
* pass.
*/
/* reset locked state in parallel */
myid = dlthread_get_id(ctrl->comm);
totalmoves = 0;
dlthread_barrier(ctrl->comm);
/* add boundary vertices to the queue */
if (myid == 0) {
if (pwgts[0] > pwgts[1]) {
o = 1;
} else if (pwgts[0] < pwgts[1]) {
o = 0;
} else {
o = graph->level % 2;
}
for (d=0;d<2;++d) {
side = (d+o) % 2;
other = side ^ 0x01;
/* initial tracking variables */
nmoves = 0;
npulled = 0;
pullmk[1] = 0;
minmove = 0;
minbal = wgt_abs_diff(pwgts[0],pwgts[1]);
vw_pq_clear(q);
for (myid=0;myid<nthreads;++myid) {
for (i=0;i<gbnd[myid]->size;++i) {
v = vtx_iset_get(i,gbnd[myid]);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
myrinfo = gnbrinfo[myid] + v;
g = lvtx_to_gvtx(v,myid,graph->dist);
gain = gvwgt[myid][v] - myrinfo->con[other];
vw_pq_push(gain,g,q);
}
}
cursep = minsep = graph->minsep;
/* make possible moves */
while (nmoves < nvtxs && q->size > 0) {
g = vw_pq_pop(q);
v = gvtx_to_lvtx(g,graph->dist);
myid = gvtx_to_tid(g,graph->dist);
DL_ASSERT_EQUALS(MTMETIS_VSEP_SEP,gwhere[myid][v],"%"PF_PID_T);
DL_ASSERT_EQUALS(vtx_iset_contains(v,gbnd[myid]),1,"%d");
/* make sure we're not overweight */
if (pwgts[side] >= maxpwgt) {
break;
}
if (pwgts[side] + gvwgt[myid][v] > maxpwgt) {
continue;
}
/* make sure we have space to record the vertices added to the
* separator */
if (npulled + gxadj[myid][v+1] - gxadj[myid][v] >= 2*nvtxs-1) {
/* roll back to our best state */
break;
}
/* update our minimum objective value or check to make sure we
* haven't passed the search limit */
cursep = cursep - (gvwgt[myid][v]-gnbrinfo[myid][v].con[other]);
newbal = wgt_abs_diff(pwgts[side]+gvwgt[myid][v], \
pwgts[other]-gnbrinfo[myid][v].con[other]);
if (cursep < minsep || \
(cursep == minsep && newbal < minbal)) {
minsep = cursep;
minmove = nmoves+1;
/* we only need to abs this here, as if its negative, it means the
* move increases the balance */
minbal = newbal;
} else {
if (nmoves-minmove+1 > 3*limit ||
(nmoves-minmove+1 > limit && cursep > minsep*1.1)) {
/* revert back to best cut */
break;
}
}
/* Once we have selected a vertex to move, we need to update several
* things:
* -the partition and separator weights
* -pull the neighboring vertices in 'other' into the separator
* -update the priorities of the affected vertives
*/
/* at this point, we have decided to make the move */
myrinfo = gnbrinfo[myid] + v;
gwhere[myid][v] = side;
moves[++nmoves] = g; /* count one up */
/* remove the vertex from the boundary -- and opposing pq */
vtx_iset_remove(v,gbnd[myid]);
/* adjust partition weights */
pwgts[side] += gvwgt[myid][v];
pwgts[MTMETIS_VSEP_SEP] -= gvwgt[myid][v];
/* process edges */
for (j=gxadj[myid][v];j<gxadj[myid][v+1];++j) {
k = gadjncy[myid][j];
if (k < gmynvtxs[myid]) {
lvtx = k;
nbrid = myid;
k = lvtx_to_gvtx(lvtx,nbrid,graph->dist);
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
/* from here k is a global vertex number */
if (gwhere[nbrid][lvtx] == MTMETIS_VSEP_SEP) {
/* update priorities of neighboring vertiecs */
gnbrinfo[nbrid][lvtx].con[side] += gvwgt[myid][v];
/* we do not need to update the 'side' priority queue, as the
* gain associate with moving 'k' to 'side' remains the same */
} else if (gwhere[nbrid][lvtx] == other) {
/* pull this vertex into the separator */
DL_ASSERT_EQUALS(vtx_iset_contains(lvtx,gbnd[nbrid]),0, \
"%d");
/* record vertex being pulled into the separator */
pulled[npulled++] = k;
/* actually move the vertex */
vtx_iset_add(lvtx,gbnd[nbrid]);
gwhere[nbrid][lvtx] = MTMETIS_VSEP_SEP;
/* calculate the connectivity */
S_calc_conn(lvtx,nbrid,gmynvtxs[nbrid],gxadj[nbrid], \
gadjncy[nbrid],gvwgt,(pid_type const **)gwhere,graph->dist, \
gnbrinfo[nbrid][lvtx].con);
/* update the partition weights */
pwgts[other] -= gvwgt[nbrid][lvtx];
pwgts[MTMETIS_VSEP_SEP] += gvwgt[nbrid][lvtx];
/* add the vertex to the priority queue for further movement */
gain = gvwgt[nbrid][lvtx] - \
gnbrinfo[nbrid][lvtx].con[other];
vw_pq_push(gain,k,q);
/* update neighbors of the vertices pulled into the separator */
for (l=gxadj[nbrid][lvtx];l<gxadj[nbrid][lvtx+1];++l) {
m = gadjncy[nbrid][l];
if (m < gmynvtxs[nbrid]) {
/* local vertex */
olvtx = m;
onbrid = nbrid;
m = lvtx_to_gvtx(olvtx,onbrid,graph->dist);
} else {
/* remote vertex */
olvtx = gvtx_to_lvtx(m,graph->dist);
onbrid = gvtx_to_tid(m,graph->dist);
}
if (gwhere[onbrid][olvtx] == MTMETIS_VSEP_SEP) {
/* update connectivity */
gnbrinfo[onbrid][olvtx].con[other] -= gvwgt[nbrid][lvtx];
/* this vertex is in the separator, and is now more likely
* to move. */
/* update the value for moving this vertex in the same
* diretion */
if (vw_pq_contains(m,q)) {
gain = gvwgt[onbrid][olvtx] - \
gnbrinfo[onbrid][olvtx].con[other];
vw_pq_update(gain,m,q);
}
}
}
}
}
/* mark the number of vertices I pulled into the boundary */
pullmk[nmoves+1] = npulled;
DL_ASSERT_EQUALS(pwgts[MTMETIS_VSEP_SEP],cursep,"%"PF_WGT_T);
}
dprintf("FM1S: Pass %zu finished, sep = %"PF_WGT_T", rolling back %" \
PF_VTX_T"/%"PF_VTX_T" moves\n",pass,pwgts[MTMETIS_VSEP_SEP], \
nmoves-minmove,nmoves);
/* rollback until we are back at the maximum state -- moves must be
* undone in reverse of the order in which they were made */
while (nmoves > minmove) {
g = moves[nmoves];
v = gvtx_to_lvtx(g,graph->dist);
myid = gvtx_to_tid(g,graph->dist);
DL_ASSERT(side != MTMETIS_VSEP_SEP,"ATtempting to unmove vertex %" \
PF_VTX_T" in separator\n",v);
/* unmove this vertex */
pwgts[MTMETIS_VSEP_SEP] += gvwgt[myid][v];
pwgts[side] -= gvwgt[myid][v];
gwhere[myid][v] = MTMETIS_VSEP_SEP;
vtx_iset_add(v,gbnd[myid]);
/* calculate the connectivity */
S_calc_conn(v,myid,gmynvtxs[myid],gxadj[myid],gadjncy[myid],gvwgt, \
(pid_type const **)gwhere,graph->dist, \
gnbrinfo[myid][v].con);
/* adjust priorities of neighboring vertices */
for (j=gxadj[myid][v];j<gxadj[myid][v+1];++j) {
k = gadjncy[myid][j];
if (k < gmynvtxs[myid]) {
lvtx = k;
nbrid = myid;
} else {
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
}
me = gwhere[nbrid][lvtx];
if (me == MTMETIS_VSEP_SEP) {
gnbrinfo[nbrid][lvtx].con[side] -= gvwgt[myid][v];
}
}
/* push nodes back out of the separator */
for (i=pullmk[nmoves];i<pullmk[nmoves+1];++i) {
k = pulled[i];
lvtx = gvtx_to_lvtx(k,graph->dist);
nbrid = gvtx_to_tid(k,graph->dist);
DL_ASSERT_EQUALS(gwhere[nbrid][lvtx],MTMETIS_VSEP_SEP,"%"PF_PID_T);
/* move the vertex */
gwhere[nbrid][lvtx] = other;
/* adjust partition weights */
pwgts[other] += gvwgt[nbrid][lvtx];
pwgts[MTMETIS_VSEP_SEP] -= gvwgt[nbrid][lvtx];
/* remove the vertex from the boundary */
vtx_iset_remove(lvtx,gbnd[nbrid]);
/* update neighbor-neighbor connectivity */
for (l=gxadj[nbrid][lvtx];l<gxadj[nbrid][lvtx+1];++l) {
m = gadjncy[nbrid][l];
if (m < gmynvtxs[nbrid]) {
/* local vertex */
olvtx = m;
onbrid = nbrid;
m = lvtx_to_gvtx(olvtx,onbrid,graph->dist);
} else {
/* remote vertex */
olvtx = gvtx_to_lvtx(m,graph->dist);
onbrid = gvtx_to_tid(m,graph->dist);
}
me = gwhere[onbrid][olvtx];
if (me == MTMETIS_VSEP_SEP) {
gnbrinfo[onbrid][olvtx].con[other] += gvwgt[nbrid][lvtx];
}
}
}
/* go to the next move */
--nmoves;
}
DL_ASSERT_EQUALS(minsep,pwgts[MTMETIS_VSEP_SEP],"%"PF_WGT_T);
graph->minsep = minsep;
totalmoves += nmoves;
}
}
totalmoves = vtx_dlthread_sumreduce(totalmoves,ctrl->comm);
if (totalmoves == 0) {
/* exit the refinement pass if we do not make any moves */
break;
}
ntotalmoves += totalmoves;
}
myid = dlthread_get_id(ctrl->comm);
if (myid == 0) {
dl_free(moves);
dl_free(pulled);
dl_free(pullmk);
vw_pq_free(q);
}
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)gwhere), \
"Bad vsinfo after refinement");
DL_ASSERT(check_vsbnd(gbnd[myid],graph),"Bad boundary after " \
"refinement");
dlthread_free_shmem(gnbrinfo,ctrl->comm);
return ntotalmoves;
}
static vtx_type S_vseprefine_SFM(
ctrl_type * const ctrl,
graph_type * const graph,
size_t const niter,
vsinfo_type * const vsinfo,
wgt_type const maxpwgt)
{
vtx_type i, k, ntotalmoves, totalmoves, niface;
adj_type j;
size_t pass;
vtx_type * moves, * pullmk, * pulled, * iface;
vw_pq_t * q;
int * locked;
tid_type const myid = dlthread_get_id(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
locked = int_init_alloc(UNLOCKED,mynvtxs);
moves = vtx_alloc(mynvtxs+1);
pullmk = vtx_alloc(mynvtxs+2);
pulled = vtx_alloc(mynvtxs*2);
/* setup priority queues */
q = vw_pq_create(0,mynvtxs);
iface = vtx_alloc(mynvtxs);
/* determine locked vertices */
niface = 0;
for (i=0;i<mynvtxs;++i) {
for (j=xadj[i];j<xadj[i+1];++j) {
k = adjncy[j];
if (k >= mynvtxs) {
iface[niface++] = i;
break;
}
}
}
ntotalmoves = 0;
for (pass=0;pass<niter;++pass) {
for (k=0;k<niface;++k) {
i = iface[k];
S_lock(i,locked,graph->where[myid][i]);
}
totalmoves = S_pass_SFM1S(ctrl,graph,vsinfo,moves,pullmk,pulled,q, \
locked,iface,niface,maxpwgt);
if (totalmoves == 0) {
break;
}
ntotalmoves += totalmoves;
}
dl_free(moves);
dl_free(pulled);
dl_free(pullmk);
dl_free(iface);
vw_pq_free(q);
if (myid == 0) {
graph->minsep = graph->pwgts[MTMETIS_VSEP_SEP];
}
dl_free(locked);
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)graph->where), \
"Bad vsinfo after refinement");
DL_ASSERT(check_vsbnd(vsinfo->bnd,graph),"Bad boundary after " \
"refinement");
dlthread_barrier(ctrl->comm);
return ntotalmoves;
}
static vtx_type S_vseprefine_GREEDY(
ctrl_type * const ctrl,
graph_type * const graph,
size_t const niter,
vsinfo_type * const vsinfo,
wgt_type const maxpwgt)
{
vtx_type gnmoves, ntotalmoves, niface, i, k;
adj_type j;
vtx_type * iface;
vsnbrinfo_type ** gnbrinfo;
size_t pass;
vw_pq_t * q;
update_combuffer_t * combuffer;
tid_type const myid = dlthread_get_id(ctrl->comm);
tid_type const nthreads = dlthread_get_nthreads(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
DL_ASSERT_EQUALS(nthreads,graph->dist.nthreads,"%"PF_TID_T);
gnbrinfo = dlthread_get_shmem(sizeof(vsnbrinfo_type*)*nthreads,ctrl->comm);
gnbrinfo[myid] = vsinfo->nbrinfo;
q = vw_pq_create(0,mynvtxs);
iface = vtx_alloc(mynvtxs);
combuffer = update_combuffer_create(ctrl->comm);
ntotalmoves = 0;
dlthread_barrier(ctrl->comm);
niface = 0;
for (i=0;i<mynvtxs;++i) {
for (j=xadj[i];j<xadj[i+1];++j) {
k = adjncy[j];
if (k >= mynvtxs) {
iface[niface++] = i;
break;
}
}
}
for (pass=0;pass<niter;++pass) {
gnmoves = S_pass_GREEDY(ctrl,graph,vsinfo,gnbrinfo,combuffer,q,iface, \
niface,maxpwgt,0);
if (gnmoves == 0) {
/* exit the refinement pass if we do not make any moves */
break;
}
ntotalmoves += gnmoves;
}
if (myid == 0) {
graph->minsep = graph->pwgts[MTMETIS_VSEP_SEP];
}
vw_pq_free(q);
dl_free(iface);
#ifdef USE_ASSERTS
dlthread_barrier(ctrl->comm);
#endif
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)graph->where), \
"Bad vsinfo after refinement");
DL_ASSERT(check_vsbnd(vsinfo->bnd,graph),"Bad boundary after " \
"refinement");
dlthread_free_shmem(gnbrinfo,ctrl->comm);
update_combuffer_free(combuffer);
return ntotalmoves;
}
static vtx_type S_vseprefine_SFG(
ctrl_type * const ctrl,
graph_type * const graph,
size_t const niter,
vsinfo_type * const vsinfo,
wgt_type const maxpwgt)
{
vtx_type i, k, nmoves, niface;
adj_type j;
int * locked;
vtx_type * moves, * pullmk, * pulled, * iface;
vw_pq_t * q;
update_combuffer_t * combuffer;
vsnbrinfo_type ** gnbrinfo;
tid_type const myid = dlthread_get_id(ctrl->comm);
tid_type const nthreads = dlthread_get_nthreads(ctrl->comm);
vtx_type const mynvtxs = graph->mynvtxs[myid];
adj_type const * const xadj = graph->xadj[myid];
vtx_type const * const adjncy = graph->adjncy[myid];
DL_ASSERT_EQUALS(nthreads,graph->dist.nthreads,"%"PF_TID_T);
gnbrinfo = dlthread_get_shmem(sizeof(vsnbrinfo_type*)*nthreads,ctrl->comm);
gnbrinfo[myid] = vsinfo->nbrinfo;
locked = int_init_alloc(UNLOCKED,mynvtxs);
iface = vtx_alloc(mynvtxs);
moves = vtx_alloc(mynvtxs);
pullmk = vtx_alloc(mynvtxs+1);
pulled = vtx_alloc(mynvtxs*2);
/* setup priority queues */
q = vw_pq_create(0,mynvtxs);
/* determine locked vertices */
niface = 0;
for (i=0;i<mynvtxs;++i) {
for (j=xadj[i];j<xadj[i+1];++j) {
k = adjncy[j];
if (k >= mynvtxs) {
iface[niface++] = i;
break;
}
}
}
combuffer = update_combuffer_create(ctrl->comm);
nmoves = S_pass_GREEDY(ctrl,graph,vsinfo,gnbrinfo,combuffer,q, \
iface,niface,maxpwgt,0);
for (k=0;k<niface;++k) {
i = iface[k];
S_lock(i,locked,graph->where[myid][i]);
}
nmoves += S_pass_SFM1S(ctrl,graph,vsinfo,moves,pullmk,pulled,q,locked, \
iface,niface,maxpwgt);
if (myid == 0) {
graph->minsep = graph->pwgts[MTMETIS_VSEP_SEP];
}
dl_free(moves);
dl_free(pulled);
dl_free(pullmk);
dl_free(locked);
dl_free(iface);
vw_pq_free(q);
#ifdef USE_ASSERTS
dlthread_barrier(ctrl->comm);
#endif
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)graph->where), \
"Bad vsinfo after refinement");
DL_ASSERT(check_vsbnd(vsinfo->bnd,graph),"Bad boundary after " \
"refinement");
dlthread_free_shmem(gnbrinfo,ctrl->comm);
update_combuffer_free(combuffer);
return nmoves;
}
/******************************************************************************
* PUBLIC FUNCTIONS ************************************************************
******************************************************************************/
vtx_type par_vseprefine(
ctrl_type * const ctrl,
graph_type * const graph,
vsinfo_type * const vsinfo)
{
vtx_type nmoves;
wgt_type const avgvtxwgt = graph->tvwgt/graph->nvtxs;
wgt_type * const pwgts = graph->pwgts;
wgt_type const maxpwgt = ctrl->ubfactor*(pwgts[0]+pwgts[1])*0.5;
DL_ASSERT(check_separator(graph,(pid_type const **)graph->where), \
"Bad separator before refinement");
DL_ASSERT(check_vsinfo(vsinfo,graph,(pid_type const **)graph->where), \
"Bad vsinfo before refinement");
DL_ASSERT(check_vsbnd(vsinfo->bnd,graph),"Bad boundary before refinement");
if (graph->nvtxs < SERIAL_FM_FACTOR*sqrt(graph->dist.nthreads)) {
nmoves = S_vseprefine_FM1S(ctrl,graph,ctrl->nrefpass,vsinfo,maxpwgt);
} else {
/* disabled for now */
if (0 && dl_max(pwgts[0],pwgts[1]) > maxpwgt*1.03 && \
4*avgvtxwgt < wgt_abs_diff(pwgts[0],pwgts[1])) {
S_pass_BAL(ctrl,graph,vsinfo,maxpwgt);
}
switch (ctrl->rtype) {
case MTMETIS_RTYPE_GREEDY:
nmoves = S_vseprefine_GREEDY(ctrl,graph,ctrl->nrefpass,vsinfo,maxpwgt);
break;
case MTMETIS_RTYPE_FM:
nmoves = S_vseprefine_FM1S(ctrl,graph,ctrl->nrefpass,vsinfo,maxpwgt);
break;
case MTMETIS_RTYPE_SFM:
nmoves = S_vseprefine_SFM(ctrl,graph,ctrl->nrefpass,vsinfo,maxpwgt);
break;
case MTMETIS_RTYPE_SFG:
nmoves = S_vseprefine_SFG(ctrl,graph,ctrl->nrefpass,vsinfo,maxpwgt);
break;
default:
dl_error("Unknown refinement type '%d'\n",ctrl->rtype);
}
}
DL_ASSERT_EQUALS(wgt_lsum(graph->pwgts,3),graph->tvwgt,"%"PF_TWGT_T);
DL_ASSERT_EQUALS(graph->pwgts[2],graph->minsep,"%"PF_WGT_T);
DL_ASSERT(check_separator(graph,(pid_type const **)graph->where), \
"Bad separator after refinement");
par_vprintf(ctrl->verbosity,MTMETIS_VERBOSITY_HIGH,"%zu) [%"PF_VTX_T" %" \
PF_ADJ_T"] {%"PF_WGT_T" %"PF_WGT_T" %"PF_WGT_T" # %"PF_WGT_T" %" \
PF_VTX_T"}\n",graph->level,graph->nvtxs,graph->nedges,pwgts[0], \
pwgts[1],pwgts[2],maxpwgt,nmoves);
return nmoves;
}
#endif
|
comm.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/**
* Copyright (c) 2015 by Contributors
*/
#ifndef MXNET_KVSTORE_COMM_H_
#define MXNET_KVSTORE_COMM_H_
#include <dmlc/omp.h>
#include <string>
#include <algorithm>
#include <utility>
#include <limits>
#include <vector>
#include <tuple>
#include <thread>
#include "mxnet/ndarray.h"
#include "gradient_compression.h"
#include "../ndarray/ndarray_function.h"
#include "../operator/tensor/sparse_retain-inl.h"
#include "./kvstore_utils.h"
namespace mxnet {
namespace kvstore {
/**
* \brief multiple device commmunication
*/
class Comm {
public:
Comm() {
pinned_ctx_ = Context::CPUPinned(0);
}
virtual ~Comm() { }
/**
* \brief init key with the data shape and storage shape
*/
virtual void Init(int key, const NDArrayStorageType stype,
const mxnet::TShape& shape, int dtype = mshadow::kFloat32) = 0;
/**
* \brief returns src[0] + .. + src[src.size()-1]
*/
virtual const NDArray& Reduce(
int key, const std::vector<NDArray>& src, int priority) = 0;
/**
* \brief copy from src to dst[i] for every i
*/
virtual void Broadcast(
int key, const NDArray& src,
const std::vector<NDArray*> dst, int priority) = 0;
/**
* \brief broadcast src to dst[i] with target row_ids for every i
* \param key the identifier key for the stored ndarray
* \param src the source row_sparse ndarray to broadcast
* \param dst a list of destination row_sparse NDArray and its target row_ids to broadcast,
where the row_ids are expected to be unique and sorted in row_id.data()
* \param priority the priority of the operation
*/
virtual void BroadcastRowSparse(int key, const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) = 0;
/**
* \brief return a pinned contex
*/
Context pinned_ctx() const {
return pinned_ctx_;
}
/**
* \brief Sets gradient compression parameters to be able to
* perform reduce with compressed gradients
*/
void SetGradientCompression(std::shared_ptr<GradientCompression> gc) {
gc_ = gc;
}
protected:
Context pinned_ctx_;
std::shared_ptr<GradientCompression> gc_;
};
/**
* \brief an implemention of Comm that first copy data to CPU memeory, and then
* reduce there
*/
class CommCPU : public Comm {
public:
CommCPU() {
nthread_reduction_ = dmlc::GetEnv("MXNET_KVSTORE_REDUCTION_NTHREADS", 4);
bigarray_bound_ = dmlc::GetEnv("MXNET_KVSTORE_BIGARRAY_BOUND", 1000 * 1000);
// TODO(junwu) delete the following data member, now for benchmark only
is_serial_push_ = dmlc::GetEnv("MXNET_KVSTORE_SERIAL_PUSH", 0);
}
virtual ~CommCPU() { }
void Init(int key, const NDArrayStorageType stype, const mxnet::TShape& shape,
int type = mshadow::kFloat32) override {
// Delayed allocation - the dense merged buffer might not be used at all if push()
// only sees sparse arrays
bool delay_alloc = true;
merge_buf_[key].merged = NDArray(shape, pinned_ctx_, delay_alloc, type);
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src,
int priority) override {
auto& buf = merge_buf_[key];
const auto stype = src[0].storage_type();
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
if (stype == kDefaultStorage) {
return src[0];
} else {
// With 'local' kvstore, we could store the weight on CPU while compute
// the gradient on GPU when the weight is extremely large.
// To avoiding copying the weight to the same context of the gradient,
// we always copy the gradient to merged buf.
NDArray& merged = buf.merged_buf(stype);
CopyFromTo(src[0], &merged, priority);
return merged;
}
}
NDArray& buf_merged = buf.merged_buf(stype);
// normal dense reduce
if (stype == kDefaultStorage) {
std::vector<Engine::VarHandle> const_vars(src.size() - 1);
std::vector<NDArray> reduce(src.size());
CopyFromTo(src[0], &buf_merged, priority);
reduce[0] = buf_merged;
if (buf.copy_buf.empty()) {
buf.copy_buf.resize(src.size()-1);
for (size_t j = 0; j < src.size() - 1; ++j) {
// allocate copy buffer
buf.copy_buf[j] = NDArray(
src[0].shape(), pinned_ctx_, false, src[0].dtype());
}
}
CHECK(stype == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << stype << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 1; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i-1]), priority);
reduce[i] = buf.copy_buf[i-1];
const_vars[i-1] = reduce[i].var();
}
Engine::Get()->PushAsync(
[reduce, this](RunContext rctx, Engine::CallbackOnComplete on_complete) {
ReduceSumCPU(reduce);
on_complete();
}, Context::CPU(), const_vars, {reduce[0].var()},
FnProperty::kCPUPrioritized, priority, "KVStoreReduce");
} else {
// sparse reduce
std::vector<Engine::VarHandle> const_vars(src.size());
std::vector<NDArray> reduce(src.size());
if (buf.copy_buf.empty()) {
buf.copy_buf.resize(src.size());
for (size_t j = 0; j < src.size(); ++j) {
buf.copy_buf[j] = NDArray(
src[0].storage_type(), src[0].shape(), pinned_ctx_, true, src[0].dtype());
}
}
CHECK(stype == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << stype << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 0; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
const_vars[i] = reduce[i].var();
}
Resource rsc = ResourceManager::Get()->Request(buf_merged.ctx(),
ResourceRequest(ResourceRequest::kTempSpace));
Engine::Get()->PushAsync(
[reduce, buf_merged, rsc, this](RunContext rctx, Engine::CallbackOnComplete on_complete) {
NDArray out = buf_merged;
is_serial_push_?
ReduceSumCPUExSerial(reduce, &out)
: mxnet::ndarray::ElementwiseSum(rctx.get_stream<cpu>(), rsc, reduce, &out);
on_complete();
}, Context::CPU(), const_vars, {buf_merged.var(), rsc.var},
FnProperty::kCPUPrioritized, priority, "KVStoreReduce");
}
return buf_merged;
}
void Broadcast(int key, const NDArray& src,
const std::vector<NDArray*> dst, int priority) override {
int mask = src.ctx().dev_mask();
if (mask == Context::kCPU) {
for (auto d : dst) CopyFromTo(src, d, priority);
} else {
// First copy data to pinned_ctx, then broadcast.
// Note that kv.init initializes the data on pinned_ctx.
// This branch indicates push() with ndarrays on gpus were called,
// and the source is copied to gpu ctx.
// Also indicates that buffers are already initialized during push().
auto& buf = merge_buf_[key].merged_buf(src.storage_type());
CopyFromTo(src, &buf, priority);
for (auto d : dst) CopyFromTo(buf, d, priority);
}
}
void BroadcastRowSparse(int key, const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) override {
using namespace mshadow;
CHECK_EQ(src.storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row-sparse src NDArray";
CHECK_EQ(src.ctx().dev_mask(), Context::kCPU)
<< "BroadcastRowSparse with src on gpu context not supported";
for (const auto& dst_kv : dst) {
NDArray* out = dst_kv.first;
NDArray row_id = dst_kv.second;
CHECK_EQ(out->storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row_sparse dst NDArray";
CHECK_EQ(row_id.ctx().dev_mask(), Context::kCPU)
<< "BroadcastRowSparse with row_indices on gpu context not supported";
// retain according to unique indices
const bool is_same_ctx = out->ctx() == src.ctx();
const bool is_diff_var = out->var() != src.var();
NDArray retained_cpu = (is_same_ctx && is_diff_var) ? *out :
NDArray(kRowSparseStorage, src.shape(), src.ctx(), true,
src.dtype(), src.aux_types());
if (!is_diff_var) {
common::LogOnce("The output of row_sparse_pull() on key " + std::to_string(key) +
"refers to the same NDArray as the one stored in KVStore."
"Performing row_sparse_pull() with such output is going to change the "
"data stored in KVStore. Incorrect result may be generated "
"next time row_sparse_pull() is called. To avoid such an issue,"
"consider create a new NDArray buffer to store the output.");
}
Engine::Get()->PushAsync(
[=](RunContext rctx, Engine::CallbackOnComplete on_complete) {
const TBlob& indices = row_id.data();
NDArray temp = retained_cpu; // get rid the of const qualifier
op::SparseRetainOpForwardRspImpl<cpu>(rctx.get_stream<cpu>(),
src, indices, kWriteTo,
&temp);
on_complete();
}, Context::CPU(), {src.var(), row_id.var()}, {retained_cpu.var()},
FnProperty::kNormal, priority, "KVStoreSparseRetain");
// if retained_cpu == out, CopyFromTo will ignore the copy operation
CopyFromTo(retained_cpu, out, priority);
}
}
private:
// reduce sum into val[0]
inline void ReduceSumCPU(const std::vector<NDArray> &in_data) {
MSHADOW_TYPE_SWITCH(in_data[0].dtype(), DType, {
std::vector<DType*> dptr(in_data.size());
for (size_t i = 0; i < in_data.size(); ++i) {
TBlob data = in_data[i].data();
CHECK(data.CheckContiguous());
dptr[i] = data.FlatTo2D<cpu, DType>().dptr_;
}
size_t total = in_data[0].shape().Size();
ReduceSumCPUImpl(dptr, total);
});
}
// serial implementation of reduce sum for row sparse NDArray.
inline void ReduceSumCPUExSerial(const std::vector<NDArray> &in, NDArray *out) {
using namespace rowsparse;
using namespace mshadow;
auto stype = out->storage_type();
CHECK_EQ(stype, kRowSparseStorage) << "Unexpected storage type " << stype;
size_t total_num_rows = 0;
size_t num_in = in.size();
// skip the ones with empty indices and values
std::vector<bool> skip(num_in, false);
// the values tensor of the inputs
MSHADOW_TYPE_SWITCH(out->dtype(), DType, {
MSHADOW_IDX_TYPE_SWITCH(out->aux_type(kIdx), IType, {
std::vector<Tensor<cpu, 2, DType>> in_vals(num_in);
std::vector<Tensor<cpu, 1, IType>> in_indices(num_in);
// offset to the values tensor of all inputs
std::vector<size_t> offsets(num_in, 0);
std::vector<size_t> num_rows(num_in, 0);
for (size_t i = 0; i < num_in; i++) {
if (!in[i].storage_initialized()) {
skip[i] = true;
continue;
}
auto size = in[i].aux_shape(kIdx).Size();
num_rows[i] = size;
total_num_rows += size;
in_vals[i] = in[i].data().FlatTo2D<cpu, DType>();
in_indices[i] = in[i].aux_data(kIdx).FlatTo1D<cpu, IType>();
}
std::vector<IType> indices;
indices.reserve(total_num_rows);
// gather indices from all inputs
for (size_t i = 0; i < num_in; i++) {
for (size_t j = 0; j < num_rows[i]; j++) {
indices.emplace_back(in_indices[i][j]);
}
}
CHECK_EQ(indices.size(), total_num_rows);
// dedup indices
std::sort(indices.begin(), indices.end());
indices.resize(std::unique(indices.begin(), indices.end()) - indices.begin());
// the one left are unique non-zero rows
size_t nnr = indices.size();
// allocate memory for output
out->CheckAndAlloc({Shape1(nnr)});
auto idx_data = out->aux_data(kIdx).FlatTo1D<cpu, IType>();
auto val_data = out->data().FlatTo2D<cpu, DType>();
for (size_t i = 0; i < nnr; i++) {
// copy indices back
idx_data[i] = indices[i];
bool zeros = true;
for (size_t j = 0; j < num_in; j++) {
if (skip[j]) continue;
size_t offset = offsets[j];
if (offset < num_rows[j]) {
if (indices[i] == in_indices[j][offset]) {
if (zeros) {
Copy(val_data[i], in_vals[j][offset], nullptr);
zeros = false;
} else {
val_data[i] += in_vals[j][offset];
}
offsets[j] += 1;
}
}
}
}
});
});
}
template<typename DType>
inline static void ReduceSumCPU(
const std::vector<DType*> &dptr, size_t offset, index_t size) {
using namespace mshadow; // NOLINT(*)
Tensor<cpu, 1, DType> in_0(dptr[0] + offset, Shape1(size));
for (size_t i = 1; i < dptr.size(); i+=4) {
switch (dptr.size() - i) {
case 1: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
in_0 += in_1;
break;
}
case 2: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i+1] + offset, Shape1(size));
in_0 += in_1 + in_2;
break;
}
case 3: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i+1] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_3(dptr[i+2] + offset, Shape1(size));
in_0 += in_1 + in_2 + in_3;
break;
}
default: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i+1] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_3(dptr[i+2] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_4(dptr[i+3] + offset, Shape1(size));
in_0 += in_1 + in_2 + in_3 + in_4;
break;
}
}
}
}
template<typename DType>
inline void ReduceSumCPUImpl(std::vector<DType*> dptr, size_t total) {
const size_t step = std::min(bigarray_bound_, static_cast<size_t>(4 << 10));
long ntask = (total + step - 1) / step; // NOLINT(*)
if (total < bigarray_bound_ || nthread_reduction_ <= 1) {
ReduceSumCPU(dptr, 0, total);
} else {
#pragma omp parallel for schedule(static) num_threads(nthread_reduction_)
for (long j = 0; j < ntask; ++j) { // NOLINT(*)
size_t k = static_cast<size_t>(j);
size_t begin = std::min(k * step, total);
size_t end = std::min((k + 1) * step, total);
if (j == ntask - 1) CHECK_EQ(end, total);
ReduceSumCPU(dptr, begin, static_cast<index_t>(end - begin));
}
}
}
/// \brief temporal space for pushing and pulling
struct BufferEntry {
/// \brief the merged value
NDArray merged;
/// \brief the cpu buffer for gpu data
std::vector<NDArray> copy_buf;
/// \brief the merged buffer for the given storage type
inline NDArray& merged_buf(NDArrayStorageType stype) {
if (stype == kDefaultStorage) {
return merged;
}
CHECK(stype == kRowSparseStorage) << "unexpected storage type " << stype;
// check if sparse_merged is initialized
if (sparse_merged.is_none()) {
CHECK(!merged.is_none());
sparse_merged = NDArray(kRowSparseStorage, merged.shape(), merged.ctx(),
true, merged.dtype());
}
return sparse_merged;
}
private:
/// \brief the sparse merged value
NDArray sparse_merged;
};
std::unordered_map<int, BufferEntry> merge_buf_;
size_t bigarray_bound_;
int nthread_reduction_;
bool is_serial_push_;
};
/**
* \brief an implementation of Comm that performs reduction on device
* directly.
*
* It is faster if the total device-to-device bandwidths is larger than
* device-to-cpu, which is often true for 4 or 8 GPUs. But it uses more device
* memory.
*/
class CommDevice : public Comm {
public:
CommDevice() {
inited_ = false;
}
virtual ~CommDevice() { }
void Init(int key, const NDArrayStorageType stype, const mxnet::TShape& shape,
int dtype = mshadow::kFloat32) override {
sorted_key_attrs_.emplace_back(key, shape, dtype);
inited_ = false;
}
void InitBuffersAndComm(const std::vector<NDArray>& src) {
if (!inited_) {
std::vector<Context> devs;
for (const auto& a : src) {
devs.push_back(a.ctx());
}
InitMergeBuffer(devs);
if (dmlc::GetEnv("MXNET_ENABLE_GPU_P2P", 1)) {
EnableP2P(devs);
}
}
}
const NDArray& ReduceRowSparse(int key, const std::vector<NDArray>& src,
int priority) {
auto& buf = merge_buf_[key];
std::vector<NDArray> reduce(src.size());
const NDArrayStorageType stype = src[0].storage_type();
NDArray& buf_merged = buf.merged_buf(stype);
if (buf.copy_buf.empty()) {
// initialize buffer for copying during reduce
buf.copy_buf.resize(src.size());
for (size_t j = 0; j < src.size(); ++j) {
buf.copy_buf[j] = NDArray(stype, src[0].shape(), buf_merged.ctx(), true, src[0].dtype());
}
}
CHECK(src[0].storage_type() == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << src[0].storage_type() << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 0; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf_merged, priority);
return buf_merged;
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src,
int priority) override {
// when this reduce is called from kvstore_dist, gc is not set
// we don't do compression twice in dist_sync_device
if ((gc_ != nullptr) && (gc_->get_type() != CompressionType::kNone)) {
return ReduceCompressed(key, src, priority);
}
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
return src[0];
}
InitBuffersAndComm(src);
auto& buf = merge_buf_[key];
const NDArrayStorageType stype = src[0].storage_type();
NDArray& buf_merged = buf.merged_buf(stype);
// normal dense reduce
if (stype == kDefaultStorage) {
CopyFromTo(src[0], &buf_merged, priority);
std::vector<NDArray> reduce(src.size());
reduce[0] = buf_merged;
if (buf.copy_buf.empty()) {
// TODO(mli) this results in large device memory usage for huge ndarray,
// such as the largest fullc in VGG. consider to do segment reduce with
// NDArray.Slice or gpu direct memory access. for the latter, we need to
// remove some ctx check, and also it reduces 20% perf
buf.copy_buf.resize(src.size()-1);
for (size_t i = 0; i < src.size()-1; ++i) {
buf.copy_buf[i] = NDArray(
buf_merged.shape(), buf_merged.ctx(), false, buf_merged.dtype());
}
}
for (size_t i = 0; i < src.size()-1; ++i) {
CopyFromTo(src[i+1], &(buf.copy_buf[i]), priority);
reduce[i+1] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf_merged, priority);
} else {
// sparse reduce
buf_merged = ReduceRowSparse(key, src, priority);
}
return buf_merged;
}
const NDArray& ReduceCompressed(int key, const std::vector<NDArray>& src,
int priority) {
InitBuffersAndComm(src);
auto& buf = merge_buf_[key];
std::vector<NDArray> reduce(src.size());
if (buf.copy_buf.empty()) {
// one buf for each context
buf.copy_buf.resize(src.size());
buf.compressed_recv_buf.resize(src.size());
buf.compressed_send_buf.resize(src.size());
buf.residual.resize(src.size());
for (size_t i = 0; i < src.size(); ++i) {
buf.copy_buf[i] = NDArray(buf.merged.shape(), buf.merged.ctx(),
false, buf.merged.dtype());
buf.residual[i] = NDArray(buf.merged.shape(), src[i].ctx(),
false, buf.merged.dtype());
buf.residual[i] = 0;
int64_t small_size = gc_->GetCompressedSize(buf.merged.shape().Size());
buf.compressed_recv_buf[i] = NDArray(mxnet::TShape{small_size}, buf.merged.ctx(),
false, buf.merged.dtype());
buf.compressed_send_buf[i] = NDArray(mxnet::TShape{small_size}, src[i].ctx(),
false, buf.merged.dtype());
}
}
for (size_t i = 0; i < src.size(); ++i) {
// compress before copy
// this is done even if the data is on same context as copy_buf because
// we don't want the training to be biased towards data on this GPU
gc_->Quantize(src[i], &(buf.compressed_send_buf[i]), &(buf.residual[i]), priority);
if (buf.compressed_send_buf[i].ctx() != buf.compressed_recv_buf[i].ctx()) {
CopyFromTo(buf.compressed_send_buf[i], &(buf.compressed_recv_buf[i]), priority);
} else {
// avoid memory copy when they are on same context
buf.compressed_recv_buf[i] = buf.compressed_send_buf[i];
}
gc_->Dequantize(buf.compressed_recv_buf[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf.merged);
return buf.merged;
}
void Broadcast(int key, const NDArray& src,
const std::vector<NDArray*> dst, int priority) override {
if (!inited_) {
// copy to a random device first
int dev_id = key % dst.size();
CopyFromTo(src, dst[dev_id], priority);
for (size_t i = 0; i < dst.size(); ++i) {
if (i != static_cast<size_t>(dev_id)) {
CopyFromTo(*dst[dev_id], dst[i], priority);
}
}
} else {
auto& buf_merged = merge_buf_[key].merged_buf(src.storage_type());
CopyFromTo(src, &buf_merged, priority);
for (auto d : dst) {
CopyFromTo(buf_merged, d, priority);
}
}
}
void BroadcastRowSparse(int key, const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) override {
CHECK_EQ(src.storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row-sparse src NDArray";
for (const auto& dst_kv : dst) {
NDArray* out = dst_kv.first;
NDArray row_id = dst_kv.second;
CHECK_EQ(out->storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row_sparse dst NDArray";
CHECK_EQ(row_id.ctx(), src.ctx())
<< "row_id and src are expected to be on the same context";
// retain according to indices
const bool is_same_ctx = out->ctx() == src.ctx();
const bool is_diff_var = out->var() != src.var();
NDArray retained_gpu = (is_same_ctx && is_diff_var) ? *out :
NDArray(kRowSparseStorage, out->shape(), src.ctx(), true,
out->dtype(), out->aux_types());
if (!is_diff_var) {
common::LogOnce("The output of row_sparse_pull() on key " + std::to_string(key) +
"refers to the same NDArray as the one stored in KVStore."
"Performing row_sparse_pull() with such output is going to change the "
"data stored in KVStore. Incorrect result may be generated "
"next time row_sparse_pull() is called. To avoid such an issue,"
"consider create a new NDArray buffer to store the output.");
}
bool is_gpu = retained_gpu.ctx().dev_mask() == gpu::kDevMask;
Engine::Get()->PushAsync([=](RunContext rctx, Engine::CallbackOnComplete on_complete) {
const TBlob& indices = row_id.data();
using namespace mxnet::common;
NDArray temp = retained_gpu;
switch (temp.ctx().dev_mask()) {
case cpu::kDevMask: {
SparseRetainOpForwardRspWrapper<cpu>(rctx.get_stream<cpu>(),
src, indices, kWriteTo, &temp);
break;
}
#if MXNET_USE_CUDA
case gpu::kDevMask: {
SparseRetainOpForwardRspWrapper<gpu>(rctx.get_stream<gpu>(),
src, indices, kWriteTo, &temp);
// wait for GPU operations to complete
rctx.get_stream<gpu>()->Wait();
break;
}
#endif
default: LOG(FATAL) << MXNET_GPU_NOT_ENABLED_ERROR;
}
on_complete();
}, retained_gpu.ctx(), {src.var(), row_id.var()}, {retained_gpu.var()},
is_gpu ? FnProperty::kGPUPrioritized : FnProperty::kCPUPrioritized,
priority, "KVStoreSparseRetain");
CopyFromTo(retained_gpu, out, priority);
}
}
using KeyAttrs = std::tuple<int, mxnet::TShape, int>;
// try to allocate buff on device evenly
void InitMergeBuffer(const std::vector<Context>& devs) {
std::sort(sorted_key_attrs_.begin(), sorted_key_attrs_.end(), [](
const KeyAttrs& a, const KeyAttrs& b) {
return std::get<1>(a).Size() > std::get<1>(b).Size();
});
std::unordered_map<int, std::pair<Context, size_t>> ctx_info;
for (auto d : devs) {
ctx_info[d.dev_id] = std::make_pair(d, 0);
}
for (auto& sorted_key_attr : sorted_key_attrs_) {
const int key = std::get<0>(sorted_key_attr);
const mxnet::TShape& shape = std::get<1>(sorted_key_attr);
const int type = std::get<2>(sorted_key_attr);
auto& buf = merge_buf_[key];
Context ctx;
size_t min_size = std::numeric_limits<size_t>::max();
for (auto& ctx_info_kv : ctx_info) {
size_t size = ctx_info_kv.second.second;
if (size <= min_size) {
ctx = ctx_info_kv.second.first;
min_size = size;
}
}
// Delayed allocation - as the dense merged buffer might not be used at all if push()
// only sees sparse arrays
if (buf.merged.is_none()) {
bool delay_alloc = true;
buf.merged = NDArray(shape, ctx, delay_alloc, type);
}
ctx_info[ctx.dev_id].second += shape.Size();
}
inited_ = true;
}
private:
void EnableP2P(const std::vector<Context>& devs) {
#if MXNET_USE_CUDA
std::vector<int> gpus;
for (const auto& d : devs) {
if (d.dev_mask() == gpu::kDevMask) {
gpus.push_back(d.dev_id);
}
}
int n = static_cast<int>(gpus.size());
int enabled = 0;
std::vector<int> p2p(n*n);
for (int i = 0; i < n; ++i) {
// Restores active device to what it was before EnableP2P
mxnet::common::cuda::DeviceStore device_store(gpus[i]);
for (int j = 0; j < n; j++) {
int access;
cudaDeviceCanAccessPeer(&access, gpus[i], gpus[j]);
if (access) {
cudaError_t e = cudaDeviceEnablePeerAccess(gpus[j], 0);
if (e == cudaSuccess || e == cudaErrorPeerAccessAlreadyEnabled) {
++enabled;
p2p[i*n+j] = 1;
}
}
}
}
if (enabled != n*(n-1)) {
// print warning info if not fully enabled
LOG(WARNING) << "only " << enabled << " out of "
<< n*(n-1) << " GPU pairs are enabled direct access. "
<< "It may affect the performance. "
<< "You can set MXNET_ENABLE_GPU_P2P=0 to turn it off";
std::string access(n, '.');
for (int i = 0; i < n; ++i) {
for (int j = 0; j < n; ++j) {
access[j] = p2p[i*n+j] ? 'v' : '.';
}
LOG(WARNING) << access;
}
}
#endif
}
/// \brief temporal space for pushing and pulling
struct BufferEntry {
/// \brief the dense merged value for reduce and broadcast operations
NDArray merged;
/// \brief the gpu buffer for copy during reduce operation
std::vector<NDArray> copy_buf;
/// \brief the residual buffer for gradient compression
std::vector<NDArray> residual;
/// \brief the small buffer for compressed data in sender
std::vector<NDArray> compressed_send_buf;
/// \brief the small buffer for compressed data in receiver
std::vector<NDArray> compressed_recv_buf;
/// \brief the merged buffer for the given storage type (could be either dense or row_sparse)
inline NDArray& merged_buf(NDArrayStorageType stype) {
if (stype == kDefaultStorage) {
CHECK(!merged.is_none()) << "unintialized merge buffer detected";
return merged;
}
CHECK(stype == kRowSparseStorage) << "unexpected storage type " << stype;
// check if sparse_merged is initialized
if (sparse_merged.is_none()) {
CHECK(!merged.is_none());
sparse_merged = NDArray(kRowSparseStorage, merged.shape(), merged.ctx(),
true, merged.dtype());
}
return sparse_merged;
}
private:
/// \brief the sparse merged value for reduce and rowsparse broadcast operations
NDArray sparse_merged;
};
std::unordered_map<int, BufferEntry> merge_buf_;
public:
bool inited_;
std::vector<KeyAttrs> sorted_key_attrs_;
};
} // namespace kvstore
} // namespace mxnet
#endif // MXNET_KVSTORE_COMM_H_
|
composite.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO M M PPPP OOO SSSSS IIIII TTTTT EEEEE %
% C O O MM MM P P O O SS I T E %
% C O O M M M PPPP O O SSS I T EEE %
% C O O M M P O O SS I T E %
% CCCC OOO M M P OOO SSSSS IIIII T EEEEE %
% %
% %
% MagickCore Image Composite Methods %
% %
% Software Design %
% John Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2012 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% http://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/artifact.h"
#include "magick/cache-view.h"
#include "magick/client.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/constitute.h"
#include "magick/draw.h"
#include "magick/fx.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/memory_.h"
#include "magick/option.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantum.h"
#include "magick/resample.h"
#include "magick/resource_.h"
#include "magick/string_.h"
#include "magick/thread-private.h"
#include "magick/utility.h"
#include "magick/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m p o s i t e I m a g e C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CompositeImageChannel() returns the second image composited onto the first
% at the specified offset, using the specified composite method.
%
% The format of the CompositeImageChannel method is:
%
% MagickBooleanType CompositeImage(Image *image,
% const CompositeOperator compose,Image *composite_image,
% const ssize_t x_offset,const ssize_t y_offset)
% MagickBooleanType CompositeImageChannel(Image *image,
% const ChannelType channel,const CompositeOperator compose,
% Image *composite_image,const ssize_t x_offset,const ssize_t y_offset)
%
% A description of each parameter follows:
%
% o image: the destination image, modified by he composition
%
% o channel: the channel.
%
% o compose: This operator affects how the composite is applied to
% the image. The operators and how they are utilized are listed here
% http://www.w3.org/TR/SVG12/#compositing.
%
% o composite_image: the composite (source) image.
%
% o x_offset: the column offset of the composited image.
%
% o y_offset: the row offset of the composited image.
%
% Extra Controls from Image meta-data in 'composite_image' (artifacts)
%
% o "compose:args"
% A string containing extra numerical arguments for specific compose
% methods, generally expressed as a 'geometry' or a comma separated list
% of numbers.
%
% Compose methods needing such arguments include "BlendCompositeOp" and
% "DisplaceCompositeOp".
%
% o "compose:outside-overlay"
% Modify how the composition is to effect areas not directly covered
% by the 'composite_image' at the offset given. Normally this is
% dependant on the 'compose' method, especially Duff-Porter methods.
%
% If set to "false" then disable all normal handling of pixels not
% covered by the composite_image. Typically used for repeated tiling
% of the composite_image by the calling API.
%
% Previous to IM v6.5.3-3 this was called "modify-outside-overlay"
%
*/
static inline double MagickMin(const double x,const double y)
{
if (x < y)
return(x);
return(y);
}
static inline double MagickMax(const double x,const double y)
{
if (x > y)
return(x);
return(y);
}
/*
** Programmers notes on SVG specification.
**
** A Composition is defined by...
** Color Function : f(Sc,Dc) where Sc and Dc are the normizalized colors
** Blending areas : X = 1 for area of overlap ie: f(Sc,Dc)
** Y = 1 for source preserved
** Z = 1 for destination preserved
**
** Conversion to transparency (then optimized)
** Dca' = f(Sc, Dc)*Sa*Da + Y*Sca*(1-Da) + Z*Dca*(1-Sa)
** Da' = X*Sa*Da + Y*Sa*(1-Da) + Z*Da*(1-Sa)
**
** Where...
** Sca = Sc*Sa normalized Source color divided by Source alpha
** Dca = Dc*Da normalized Dest color divided by Dest alpha
** Dc' = Dca'/Da' the desired color value for this channel.
**
** Da' in in the follow formula as 'gamma' The resulting alpla value.
**
**
** Most functions use a blending mode of over (X=1,Y=1,Z=1)
** this results in the following optimizations...
** gamma = Sa+Da-Sa*Da;
** gamma = 1 - QuantiumScale*alpha * QuantiumScale*beta;
** opacity = QuantiumScale*alpha*beta; // over blend, optimized 1-Gamma
**
** The above SVG definitions also definate that Mathematical Composition
** methods should use a 'Over' blending mode for Alpha Channel.
** It however was not applied for composition modes of 'Plus', 'Minus',
** the modulus versions of 'Add' and 'Subtract'.
**
**
** Mathematical operator changes to be applied from IM v6.7...
**
** 1/ Modulus modes 'Add' and 'Subtract' are obsoleted and renamed
** 'ModulusAdd' and 'ModulusSubtract' for clarity.
**
** 2/ All mathematical compositions work as per the SVG specification
** with regard to blending. This now includes 'ModulusAdd' and
** 'ModulusSubtract'.
**
** 3/ When the special channel flag 'sync' (syncronize channel updates)
** is turned off (enabled by default) then mathematical compositions are
** only performed on the channels specified, and are applied
** independantally of each other. In other words the mathematics is
** performed as 'pure' mathematical operations, rather than as image
** operations.
*/
static inline MagickRealType Atop(const MagickRealType p,
const MagickRealType Sa,const MagickRealType q,
const MagickRealType magick_unused(Da))
{
return(p*Sa+q*(1.0-Sa)); /* Da optimized out, Da/gamma => 1.0 */
}
static inline void CompositeAtop(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
composite->opacity=q->opacity; /* optimized Da = 1.0-Gamma */
composite->red=Atop(p->red,Sa,q->red,1.0);
composite->green=Atop(p->green,Sa,q->green,1.0);
composite->blue=Atop(p->blue,Sa,q->blue,1.0);
if (q->colorspace == CMYKColorspace)
composite->index=Atop(p->index,Sa,q->index,1.0);
}
/*
What is this Composition method for? Can't find any specification!
WARNING this is not doing correct 'over' blend handling (Anthony Thyssen).
*/
static inline void CompositeBumpmap(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
intensity;
intensity=MagickPixelIntensity(p);
composite->red=QuantumScale*intensity*q->red;
composite->green=QuantumScale*intensity*q->green;
composite->blue=QuantumScale*intensity*q->blue;
composite->opacity=(MagickRealType) QuantumScale*intensity*
p->opacity;
if (q->colorspace == CMYKColorspace)
composite->index=QuantumScale*intensity*q->index;
}
static inline void CompositeClear(const MagickPixelPacket *q,
MagickPixelPacket *composite)
{
composite->opacity=(MagickRealType) TransparentOpacity;
composite->red=0.0;
composite->green=0.0;
composite->blue=0.0;
if (q->colorspace == CMYKColorspace)
composite->index=0.0;
}
static MagickRealType ColorBurn(const MagickRealType Sca,
const MagickRealType Sa, const MagickRealType Dca,const MagickRealType Da)
{
#if 0
/*
Oct 2004 SVG specification.
*/
if (Sca*Da + Dca*Sa <= Sa*Da)
return(Sca*(1.0-Da)+Dca*(1.0-Sa));
return(Sa*(Sca*Da+Dca*Sa-Sa*Da)/Sca + Sca*(1.0-Da) + Dca*(1.0-Sa));
#else
/*
March 2009 SVG specification.
*/
if ((fabs(Sca) < MagickEpsilon) && (fabs(Dca-Da) < MagickEpsilon))
return(Sa*Da+Dca*(1.0-Sa));
if (Sca < MagickEpsilon)
return(Dca*(1.0-Sa));
return(Sa*Da-Sa*MagickMin(Da,(Da-Dca)*Sa/Sca)+Sca*(1.0-Da)+Dca*(1.0-Sa));
#endif
}
static inline void CompositeColorBurn(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*ColorBurn(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*ColorBurn(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*ColorBurn(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*ColorBurn(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static MagickRealType ColorDodge(const MagickRealType Sca,
const MagickRealType Sa, const MagickRealType Dca,const MagickRealType Da)
{
#if 0
/*
Oct 2004 SVG specification.
*/
if ((Sca*Da+Dca*Sa) >= Sa*Da)
return( Sa*Da + Sca*(1.0-Da) + Dca*(1.0-Sa) );
return( Dca*Sa*Sa/(Sa-Sca) + Sca*(1.0-Da) + Dca*(1.0-Sa) );
#endif
#if 0
/*
New specification, March 2009 SVG specification. This specification was
also wrong of non-overlap cases.
*/
if ((fabs(Sca-Sa) < MagickEpsilon) && (fabs(Dca) < MagickEpsilon))
return(Sca*(1.0-Da));
if (fabs(Sca-Sa) < MagickEpsilon)
return(Sa*Da+Sca*(1.0-Da)+Dca*(1.0-Sa));
return(Sa*MagickMin(Da,Dca*Sa/(Sa-Sca)));
#endif
/*
Working from first principles using the original formula:
f(Sc,Dc) = Dc/(1-Sc)
This works correctly! Looks like the 2004 model was right but just
required a extra condition for correct handling.
*/
if ((fabs(Sca-Sa) < MagickEpsilon) && (fabs(Dca) < MagickEpsilon))
return(Sca*(1.0-Da)+Dca*(1.0-Sa));
if (fabs(Sca-Sa) < MagickEpsilon)
return(Sa*Da+Sca*(1.0-Da)+Dca*(1.0-Sa));
return(Dca*Sa*Sa/(Sa-Sca)+Sca*(1.0-Da)+Dca*(1.0-Sa));
}
static inline void CompositeColorDodge(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*ColorDodge(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*ColorDodge(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*ColorDodge(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*ColorDodge(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static inline MagickRealType Darken(const MagickRealType p,
const MagickRealType alpha,const MagickRealType q,const MagickRealType beta)
{
if (p < q)
return(MagickOver_(p,alpha,q,beta)); /* src-over */
return(MagickOver_(q,beta,p,alpha)); /* dst-over */
}
static inline void CompositeDarken(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
/*
Darken is equivalent to a 'Minimum' method
OR a greyscale version of a binary 'Or'
OR the 'Intersection' of pixel sets.
*/
MagickRealType
gamma;
if ( (channel & SyncChannels) != 0 ) {
composite->opacity=QuantumScale*p->opacity*q->opacity; /* Over Blend */
gamma=1.0-QuantumScale*composite->opacity;
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Darken(p->red,p->opacity,q->red,q->opacity);
composite->green=gamma*Darken(p->green,p->opacity,q->green,q->opacity);
composite->blue=gamma*Darken(p->blue,p->opacity,q->blue,q->opacity);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Darken(p->index,p->opacity,q->index,q->opacity);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=MagickMax(p->opacity,q->opacity);
if ( (channel & RedChannel) != 0 )
composite->red=MagickMin(p->red,q->red);
if ( (channel & GreenChannel) != 0 )
composite->green=MagickMin(p->green,q->green);
if ( (channel & BlueChannel) != 0 )
composite->blue=MagickMin(p->blue,q->blue);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=MagickMin(p->index,q->index);
}
}
static inline void CompositeDarkenIntensity(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
/*
Select the pixel based on the intensity level.
If 'Sync' flag select whole pixel based on alpha weighted intensity.
Otherwise use intensity only, but restrict copy according to channel.
*/
if ( (channel & SyncChannels) != 0 ) {
MagickRealType
Da,
Sa;
Sa=1.0-QuantumScale*p->opacity;
Da=1.0-QuantumScale*q->opacity;
*composite = (Sa*MagickPixelIntensity(p) < Da*MagickPixelIntensity(q))
? *p : *q;
}
else {
int from_p = (MagickPixelIntensity(p) < MagickPixelIntensity(q));
if ( (channel & AlphaChannel) != 0 )
composite->opacity = from_p ? p->opacity : q->opacity;
if ( (channel & RedChannel) != 0 )
composite->red = from_p ? p->red : q->red;
if ( (channel & GreenChannel) != 0 )
composite->green = from_p ? p->green : q->green;
if ( (channel & BlueChannel) != 0 )
composite->blue = from_p ? p->blue : q->blue;
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index = from_p ? p->index : q->index;
}
}
static inline MagickRealType Difference(const MagickRealType p,
const MagickRealType Sa,const MagickRealType q,const MagickRealType Da)
{
/* Optimized by Multipling by QuantumRange (taken from gamma). */
return(Sa*p+Da*q-Sa*Da*2.0*MagickMin(p,q));
}
static inline void CompositeDifference(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
if ( (channel & SyncChannels) != 0 ) {
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
/* Values are not normalized as an optimization. */
composite->red=gamma*Difference(p->red,Sa,q->red,Da);
composite->green=gamma*Difference(p->green,Sa,q->green,Da);
composite->blue=gamma*Difference(p->blue,Sa,q->blue,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Difference(p->index,Sa,q->index,Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange-fabs(p->opacity - q->opacity);
if ( (channel & RedChannel) != 0 )
composite->red=fabs(p->red - q->red);
if ( (channel & GreenChannel) != 0 )
composite->green=fabs(p->green - q->green);
if ( (channel & BlueChannel) != 0 )
composite->blue=fabs(p->blue - q->blue);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=fabs(p->index - q->index);
}
}
static MagickRealType Divide(const MagickRealType Sca,const MagickRealType Sa,
const MagickRealType Dca,const MagickRealType Da)
{
/*
Divide Source by Destination
f(Sc,Dc) = Sc / Dc
But with appropriate handling for special case of Dc == 0 specifically
so that f(Black,Black)=Black and f(non-Black,Black)=White.
It is however also important to correctly do 'over' alpha blending which
is why the formula becomes so complex.
*/
if ((fabs(Sca) < MagickEpsilon) && (fabs(Dca) < MagickEpsilon))
return(Sca*(1.0-Da)+Dca*(1.0-Sa));
if (fabs(Dca) < MagickEpsilon)
return(Sa*Da+Sca*(1.0-Da)+Dca*(1.0-Sa));
return(Sca*Da*Da/Dca+Sca*(1.0-Da)+Dca*(1.0-Sa));
}
static inline void CompositeDivide(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
if ( (channel & SyncChannels) != 0 ) {
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Divide(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*Divide(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*Divide(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Divide(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange*(1.0-Divide(Sa,1.0,Da,1.0));
if ( (channel & RedChannel) != 0 )
composite->red=QuantumRange*
Divide(QuantumScale*p->red,1.0,QuantumScale*q->red,1.0);
if ( (channel & GreenChannel) != 0 )
composite->green=QuantumRange*
Divide(QuantumScale*p->green,1.0,QuantumScale*q->green,1.0);
if ( (channel & BlueChannel) != 0 )
composite->blue=QuantumRange*
Divide(QuantumScale*p->blue,1.0,QuantumScale*q->blue,1.0);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=QuantumRange*
Divide(QuantumScale*p->index,1.0,QuantumScale*q->index,1.0);
}
}
static MagickRealType Exclusion(const MagickRealType Sca,
const MagickRealType Sa, const MagickRealType Dca,const MagickRealType Da)
{
return(Sca*Da+Dca*Sa-2.0*Sca*Dca+Sca*(1.0-Da)+Dca*(1.0-Sa));
}
static inline void CompositeExclusion(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
MagickRealType
gamma,
Sa,
Da;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
if ( (channel & SyncChannels) != 0 ) {
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Exclusion(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*Exclusion(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*Exclusion(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Exclusion(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange*(1.0-Exclusion(Sa,1.0,Da,1.0));
if ( (channel & RedChannel) != 0 )
composite->red=QuantumRange*
Exclusion(QuantumScale*p->red,1.0,QuantumScale*q->red,1.0);
if ( (channel & GreenChannel) != 0 )
composite->green=QuantumRange*
Exclusion(QuantumScale*p->green,1.0,QuantumScale*q->green,1.0);
if ( (channel & BlueChannel) != 0 )
composite->blue=QuantumRange*
Exclusion(QuantumScale*p->blue,1.0,QuantumScale*q->blue,1.0);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=QuantumRange*
Exclusion(QuantumScale*p->index,1.0,QuantumScale*q->index,1.0);
}
}
static MagickRealType HardLight(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da)
{
if ((2.0*Sca) < Sa)
return(2.0*Sca*Dca+Sca*(1.0-Da)+Dca*(1.0-Sa));
return(Sa*Da-2.0*(Da-Dca)*(Sa-Sca)+Sca*(1.0-Da)+Dca*(1.0-Sa));
}
static inline void CompositeHardLight(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*HardLight(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*HardLight(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*HardLight(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*HardLight(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static void CompositeHSB(const MagickRealType red,const MagickRealType green,
const MagickRealType blue,double *hue,double *saturation,double *brightness)
{
MagickRealType
delta,
max,
min;
/*
Convert RGB to HSB colorspace.
*/
assert(hue != (double *) NULL);
assert(saturation != (double *) NULL);
assert(brightness != (double *) NULL);
max=(red > green ? red : green);
if (blue > max)
max=blue;
min=(red < green ? red : green);
if (blue < min)
min=blue;
*hue=0.0;
*saturation=0.0;
*brightness=(double) (QuantumScale*max);
if (max == 0.0)
return;
*saturation=(double) (1.0-min/max);
delta=max-min;
if (delta == 0.0)
return;
if (red == max)
*hue=(double) ((green-blue)/delta);
else
if (green == max)
*hue=(double) (2.0+(blue-red)/delta);
else
if (blue == max)
*hue=(double) (4.0+(red-green)/delta);
*hue/=6.0;
if (*hue < 0.0)
*hue+=1.0;
}
static inline MagickRealType In(const MagickRealType p,
const MagickRealType Sa,const MagickRealType magick_unused(q),
const MagickRealType Da)
{
return(Sa*p*Da);
}
static inline void CompositeIn(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
gamma,
Sa,
Da;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=Sa*Da;
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*In(p->red,Sa,q->red,Da);
composite->green=gamma*In(p->green,Sa,q->green,Da);
composite->blue=gamma*In(p->blue,Sa,q->blue,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*In(p->index,Sa,q->index,Da);
}
static inline MagickRealType Lighten(const MagickRealType p,
const MagickRealType alpha,const MagickRealType q,const MagickRealType beta)
{
if (p > q)
return(MagickOver_(p,alpha,q,beta)); /* src-over */
return(MagickOver_(q,beta,p,alpha)); /* dst-over */
}
static inline void CompositeLighten(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
/*
Lighten is also equvalent to a 'Maximum' method
OR a greyscale version of a binary 'And'
OR the 'Union' of pixel sets.
*/
MagickRealType
gamma;
if ( (channel & SyncChannels) != 0 ) {
composite->opacity=QuantumScale*p->opacity*q->opacity; /* Over Blend */
gamma=1.0-QuantumScale*composite->opacity;
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Lighten(p->red,p->opacity,q->red,q->opacity);
composite->green=gamma*Lighten(p->green,p->opacity,q->green,q->opacity);
composite->blue=gamma*Lighten(p->blue,p->opacity,q->blue,q->opacity);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Lighten(p->index,p->opacity,q->index,q->opacity);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=MagickMin(p->opacity,q->opacity);
if ( (channel & RedChannel) != 0 )
composite->red=MagickMax(p->red,q->red);
if ( (channel & GreenChannel) != 0 )
composite->green=MagickMax(p->green,q->green);
if ( (channel & BlueChannel) != 0 )
composite->blue=MagickMax(p->blue,q->blue);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=MagickMax(p->index,q->index);
}
}
static inline void CompositeLightenIntensity(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
/*
Select the pixel based on the intensity level.
If 'Sync' flag select whole pixel based on alpha weighted intensity.
Otherwise use Intenisty only, but restrict copy according to channel.
*/
if ( (channel & SyncChannels) != 0 ) {
MagickRealType
Da,
Sa;
Sa=1.0-QuantumScale*p->opacity;
Da=1.0-QuantumScale*q->opacity;
*composite = (Sa*MagickPixelIntensity(p) > Da*MagickPixelIntensity(q))
? *p : *q;
}
else {
int from_p = (MagickPixelIntensity(p) > MagickPixelIntensity(q));
if ( (channel & AlphaChannel) != 0 )
composite->opacity = from_p ? p->opacity : q->opacity;
if ( (channel & RedChannel) != 0 )
composite->red = from_p ? p->red : q->red;
if ( (channel & GreenChannel) != 0 )
composite->green = from_p ? p->green : q->green;
if ( (channel & BlueChannel) != 0 )
composite->blue = from_p ? p->blue : q->blue;
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index = from_p ? p->index : q->index;
}
}
#if 0
static inline MagickRealType LinearDodge(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da)
{
/*
LinearDodge: simplifies to a trivial formula
f(Sc,Dc) = Sc + Dc
Dca' = Sca + Dca
*/
return(Sca+Dca);
}
#endif
static inline void CompositeLinearDodge(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*(p->red*Sa+q->red*Da);
composite->green=gamma*(p->green*Sa+q->green*Da);
composite->blue=gamma*(p->blue*Sa+q->blue*Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*(p->index*Sa+q->index*Da);
}
static inline MagickRealType LinearBurn(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da)
{
/*
LinearBurn: as defined by Abode Photoshop, according to
http://www.simplefilter.de/en/basics/mixmods.html is:
f(Sc,Dc) = Sc + Dc - 1
*/
return(Sca+Dca-Sa*Da);
}
static inline void CompositeLinearBurn(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*LinearBurn(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*LinearBurn(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*LinearBurn(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*LinearBurn(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static inline MagickRealType LinearLight(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da)
{
#if 0
/*
Previous formula, was only valid for fully-opaque images.
*/
return(Dca+2*Sca-1.0);
#else
/*
LinearLight: as defined by Abode Photoshop, according to
http://www.simplefilter.de/en/basics/mixmods.html is:
f(Sc,Dc) = Dc + 2*Sc - 1
*/
return((Sca-Sa)*Da+Sca+Dca);
#endif
}
static inline void CompositeLinearLight(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*LinearLight(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*LinearLight(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*LinearLight(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*LinearLight(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static inline MagickRealType Mathematics(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da,
const GeometryInfo *geometry_info)
{
/*
'Mathematics' a free form user control mathematical composition is defined
as...
f(Sc,Dc) = A*Sc*Dc + B*Sc + C*Dc + D
Where the arguments A,B,C,D are (currently) passed to composite as
a command separated 'geometry' string in "compose:args" image artifact.
A = a->rho, B = a->sigma, C = a->xi, D = a->psi
Applying the SVG transparency formula (see above), we get...
Dca' = Sa*Da*f(Sc,Dc) + Sca*(1.0-Da) + Dca*(1.0-Sa)
Dca' = A*Sca*Dca + B*Sca*Da + C*Dca*Sa + D*Sa*Da + Sca*(1.0-Da) +
Dca*(1.0-Sa)
*/
return(geometry_info->rho*Sca*Dca+geometry_info->sigma*Sca*Da+
geometry_info->xi*Dca*Sa+geometry_info->psi*Sa*Da+Sca*(1.0-Da)+
Dca*(1.0-Sa));
}
static inline void CompositeMathematics(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel, const GeometryInfo
*args, MagickPixelPacket *composite)
{
MagickRealType
Sa,
Da,
gamma;
Sa=1.0-QuantumScale*p->opacity; /* ??? - AT */
Da=1.0-QuantumScale*q->opacity;
if ( (channel & SyncChannels) != 0 ) {
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Mathematics(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da,args);
composite->green=gamma*Mathematics(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da,args);
composite->blue=gamma*Mathematics(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da,args);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Mathematics(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da,args);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange*(1.0-Mathematics(Sa,1.0,Da,1.0,args));
if ( (channel & RedChannel) != 0 )
composite->red=QuantumRange*
Mathematics(QuantumScale*p->red,1.0,QuantumScale*q->red,1.0,args);
if ( (channel & GreenChannel) != 0 )
composite->green=QuantumRange*
Mathematics(QuantumScale*p->green,1.0,QuantumScale*q->green,1.0,args);
if ( (channel & BlueChannel) != 0 )
composite->blue=QuantumRange*
Mathematics(QuantumScale*p->blue,1.0,QuantumScale*q->blue,1.0,args);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=QuantumRange*
Mathematics(QuantumScale*p->index,1.0,QuantumScale*q->index,1.0,args);
}
}
static inline void CompositePlus(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
if ( (channel & SyncChannels) != 0 ) {
/*
NOTE: "Plus" does not use 'over' alpha-blending but uses a
special 'plus' form of alph-blending. It is the ONLY mathematical
operator to do this. this is what makes it different to the
otherwise equivalent "LinearDodge" composition method.
Note however that color channels are still effected by the alpha channel
as a result of the blending, making it just as useless for independant
channel maths, just like all other mathematical composition methods.
As such the removal of the 'sync' flag, is still a usful convention.
The MagickPixelCompositePlus() function is defined in
"composite-private.h" so it can also be used for Image Blending.
*/
MagickPixelCompositePlus(p,p->opacity,q,q->opacity,composite);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=p->opacity+q->opacity-QuantumRange;
if ( (channel & RedChannel) != 0 )
composite->red=p->red+q->red;
if ( (channel & GreenChannel) != 0 )
composite->green=p->green+q->green;
if ( (channel & BlueChannel) != 0 )
composite->blue=p->blue+q->blue;
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=p->index+q->index;
}
}
static inline MagickRealType Minus(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,
const MagickRealType magick_unused(Da))
{
/*
Minus Source from Destination
f(Sc,Dc) = Sc - Dc
*/
return(Sca + Dca - 2*Dca*Sa);
}
static inline void CompositeMinus(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
MagickRealType
Sa,
Da,
gamma;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
if ( (channel & SyncChannels) != 0 ) {
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Minus(p->red*Sa,Sa,q->red*Da,Da);
composite->green=gamma*Minus(p->green*Sa,Sa,q->green*Da,Da);
composite->blue=gamma*Minus(p->blue*Sa,Sa,q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Minus(p->index*Sa,Sa,q->index*Da,Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange*(1.0-(Sa-Da));
if ( (channel & RedChannel) != 0 )
composite->red=p->red-q->red;
if ( (channel & GreenChannel) != 0 )
composite->green=p->green-q->green;
if ( (channel & BlueChannel) != 0 )
composite->blue=p->blue-q->blue;
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=p->index-q->index;
}
}
static inline MagickRealType ModulusAdd(const MagickRealType p,
const MagickRealType Sa, const MagickRealType q, const MagickRealType Da)
{
MagickRealType
pixel;
pixel=p+q;
if (pixel > QuantumRange)
pixel-=(QuantumRange+1.0);
return(pixel*Sa*Da + p*Sa*(1-Da) + q*Da*(1-Sa));
}
static inline void CompositeModulusAdd(const MagickPixelPacket *p,
const MagickPixelPacket *q, const ChannelType channel,
MagickPixelPacket *composite)
{
if ( (channel & SyncChannels) != 0 ) {
MagickRealType
Sa,
Da,
gamma;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=ModulusAdd(p->red,Sa,q->red,Da);
composite->green=ModulusAdd(p->green,Sa,q->green,Da);
composite->blue=ModulusAdd(p->blue,Sa,q->blue,Da);
if (q->colorspace == CMYKColorspace)
composite->index=ModulusAdd(p->index,Sa,q->index,Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange-ModulusAdd(QuantumRange-p->opacity,
1.0,QuantumRange-q->opacity,1.0);
if ( (channel & RedChannel) != 0 )
composite->red=ModulusAdd(p->red,1.0,q->red,1.0);
if ( (channel & GreenChannel) != 0 )
composite->green=ModulusAdd(p->green,1.0,q->green,1.0);
if ( (channel & BlueChannel) != 0 )
composite->blue=ModulusAdd(p->blue,1.0,q->blue,1.0);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=ModulusAdd(p->index,1.0,q->index,1.0);
}
}
static inline MagickRealType ModulusSubtract(const MagickRealType p,
const MagickRealType Sa, const MagickRealType q, const MagickRealType Da)
{
MagickRealType
pixel;
pixel=p-q;
if (pixel < 0.0)
pixel+=(QuantumRange+1.0);
return(pixel*Sa*Da + p*Sa*(1-Da) + q*Da*(1-Sa));
}
static inline void CompositeModulusSubtract(const MagickPixelPacket *p,
const MagickPixelPacket *q, const ChannelType channel,
MagickPixelPacket *composite)
{
if ( (channel & SyncChannels) != 0 ) {
MagickRealType
Sa,
Da,
gamma;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma = RoundToUnity(Sa+Da-Sa*Da);
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=ModulusSubtract(p->red,Sa,q->red,Da);
composite->green=ModulusSubtract(p->green,Sa,q->green,Da);
composite->blue=ModulusSubtract(p->blue,Sa,q->blue,Da);
if (q->colorspace == CMYKColorspace)
composite->index=ModulusSubtract(p->index,Sa,q->index,Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange-ModulusSubtract(QuantumRange-p->opacity,
1.0,QuantumRange-q->opacity,1.0);
if ( (channel & RedChannel) != 0 )
composite->red=ModulusSubtract(p->red,1.0,q->red,1.0);
if ( (channel & GreenChannel) != 0 )
composite->green=ModulusSubtract(p->green,1.0,q->green,1.0);
if ( (channel & BlueChannel) != 0 )
composite->blue=ModulusSubtract(p->blue,1.0,q->blue,1.0);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=ModulusSubtract(p->index,1.0,q->index,1.0);
}
}
static inline MagickRealType Multiply(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da)
{
return(Sca*Dca+Sca*(1.0-Da)+Dca*(1.0-Sa));
}
static inline void CompositeMultiply(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
if ( (channel & SyncChannels) != 0 ) {
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Multiply(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*Multiply(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*Multiply(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Multiply(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange*(1.0-Sa*Da);
if ( (channel & RedChannel) != 0 )
composite->red=QuantumScale*p->red*q->red;
if ( (channel & GreenChannel) != 0 )
composite->green=QuantumScale*p->green*q->green;
if ( (channel & BlueChannel) != 0 )
composite->blue=QuantumScale*p->blue*q->blue;
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=QuantumScale*p->index*q->index;
}
}
static inline MagickRealType Out(const MagickRealType p,
const MagickRealType Sa,const MagickRealType magick_unused(q),
const MagickRealType Da)
{
return(Sa*p*(1.0-Da));
}
static inline void CompositeOut(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Sa,
Da,
gamma;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=Sa*(1.0-Da);
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Out(p->red,Sa,q->red,Da);
composite->green=gamma*Out(p->green,Sa,q->green,Da);
composite->blue=gamma*Out(p->blue,Sa,q->blue,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Out(p->index,Sa,q->index,Da);
}
static MagickRealType PegtopLight(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da)
{
/*
PegTop: A Soft-Light alternative: A continuous version of the Softlight
function, producing very similar results.
f(Sc,Dc) = Dc^2*(1-2*Sc) + 2*Sc*Dc
See http://www.pegtop.net/delphi/articles/blendmodes/softlight.htm.
*/
if (fabs(Da) < MagickEpsilon)
return(Sca);
return(Dca*Dca*(Sa-2*Sca)/Da+Sca*(2*Dca+1-Da)+Dca*(1-Sa));
}
static inline void CompositePegtopLight(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*PegtopLight(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*PegtopLight(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*PegtopLight(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*PegtopLight(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static MagickRealType PinLight(const MagickRealType Sca,
const MagickRealType Sa,const MagickRealType Dca,const MagickRealType Da)
{
/*
PinLight: A Photoshop 7 composition method
http://www.simplefilter.de/en/basics/mixmods.html
f(Sc,Dc) = Dc<2*Sc-1 ? 2*Sc-1 : Dc>2*Sc ? 2*Sc : Dc
*/
if (Dca*Sa < Da*(2*Sca-Sa))
return(Sca*(Da+1.0)-Sa*Da+Dca*(1.0-Sa));
if ((Dca*Sa) > (2*Sca*Da))
return(Sca*Da+Sca+Dca*(1.0-Sa));
return(Sca*(1.0-Da)+Dca);
}
static inline void CompositePinLight(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*PinLight(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*PinLight(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*PinLight(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*PinLight(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static inline MagickRealType Screen(const MagickRealType Sca,
const MagickRealType Dca)
{
/* Screen: A negated multiply
f(Sc,Dc) = 1.0-(1.0-Sc)*(1.0-Dc)
*/
return(Sca+Dca-Sca*Dca);
}
static inline void CompositeScreen(const MagickPixelPacket *p,
const MagickPixelPacket *q,const ChannelType channel,
MagickPixelPacket *composite)
{
MagickRealType
Sa,
Da,
gamma;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
if ( (channel & SyncChannels) != 0 ) {
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
Sa*=QuantumScale; Da*=QuantumScale; /* optimization */
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Screen(p->red*Sa,q->red*Da);
composite->green=gamma*Screen(p->green*Sa,q->green*Da);
composite->blue=gamma*Screen(p->blue*Sa,q->blue*Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Screen(p->index*Sa,q->index*Da);
}
else { /* handle channels as separate grayscale channels */
if ( (channel & AlphaChannel) != 0 )
composite->opacity=QuantumRange*(1.0-Screen(Sa,Da));
if ( (channel & RedChannel) != 0 )
composite->red=QuantumRange*Screen(QuantumScale*p->red,
QuantumScale*q->red);
if ( (channel & GreenChannel) != 0 )
composite->green=QuantumRange*Screen(QuantumScale*p->green,
QuantumScale*q->green);
if ( (channel & BlueChannel) != 0 )
composite->blue=QuantumRange*Screen(QuantumScale*p->blue,
QuantumScale*q->blue);
if ( (channel & IndexChannel) != 0 && q->colorspace == CMYKColorspace)
composite->index=QuantumRange*Screen(QuantumScale*p->index,
QuantumScale*q->index);
}
}
static MagickRealType SoftLight(const MagickRealType Sca,
const MagickRealType Sa, const MagickRealType Dca, const MagickRealType Da)
{
#if 0
/*
Oct 2004 SVG specification -- was found to be incorrect
See http://lists.w3.org/Archives/Public/www-svg/2009Feb/0014.html.
*/
if (2.0*Sca < Sa)
return(Dca*(Sa-(1.0-Dca/Da)*(2.0*Sca-Sa))+Sca*(1.0-Da)+Dca*(1.0-Sa));
if (8.0*Dca <= Da)
return(Dca*(Sa-(1.0-Dca/Da)*(2.0*Sca-Sa)*(3.0-8.0*Dca/Da))+
Sca*(1.0-Da)+Dca*(1.0-Sa));
return((Dca*Sa+(pow(Dca/Da,0.5)*Da-Dca)*(2.0*Sca-Sa))+Sca*(1.0-Da)+
Dca*(1.0-Sa));
#else
MagickRealType
alpha,
beta;
/*
New specification: March 2009 SVG specification.
*/
alpha=Dca/Da;
if ((2.0*Sca) < Sa)
return(Dca*(Sa+(2.0*Sca-Sa)*(1.0-alpha))+Sca*(1.0-Da)+Dca*(1.0-Sa));
if (((2.0*Sca) > Sa) && ((4.0*Dca) <= Da))
{
beta=Dca*Sa+Da*(2.0*Sca-Sa)*(4.0*alpha*(4.0*alpha+1.0)*(alpha-1.0)+7.0*
alpha)+Sca*(1.0-Da)+Dca*(1.0-Sa);
return(beta);
}
beta=Dca*Sa+Da*(2.0*Sca-Sa)*(pow(alpha,0.5)-alpha)+Sca*(1.0-Da)+Dca*(1.0-Sa);
return(beta);
#endif
}
static inline void CompositeSoftLight(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*SoftLight(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*SoftLight(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*SoftLight(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*SoftLight(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
/*
Depreciated
Multiply difference by amount, if differance larger than threshold???
What use this is is completely unknown
The Opacity calculation appears to be inverted -- Anthony Thyssen
*/
static inline MagickRealType Threshold(const MagickRealType p,
const MagickRealType q,const MagickRealType threshold,
const MagickRealType amount)
{
MagickRealType
delta;
delta=p-q;
if ((MagickRealType) fabs((double) (2.0*delta)) < threshold)
return(q);
return(q+delta*amount);
}
static inline void CompositeThreshold(const MagickPixelPacket *p,
const MagickPixelPacket *q,const MagickRealType threshold,
const MagickRealType amount,MagickPixelPacket *composite)
{
composite->red=Threshold(p->red,q->red,threshold,amount);
composite->green=Threshold(p->green,q->green,threshold,amount);
composite->blue=Threshold(p->blue,q->blue,threshold,amount);
composite->opacity=QuantumRange-Threshold(p->opacity,q->opacity,
threshold,amount);
if (q->colorspace == CMYKColorspace)
composite->index=Threshold(p->index,q->index,threshold,amount);
}
static MagickRealType VividLight(const MagickRealType Sca,
const MagickRealType Sa, const MagickRealType Dca, const MagickRealType Da)
{
/*
VividLight: A Photoshop 7 composition method. See
http://www.simplefilter.de/en/basics/mixmods.html.
f(Sc,Dc) = (2*Sc < 1) ? 1-(1-Dc)/(2*Sc) : Dc/(2*(1-Sc))
*/
if ((fabs(Sa) < MagickEpsilon) || (fabs(Sca-Sa) < MagickEpsilon))
return(Sa*Da+Sca*(1.0-Da)+Dca*(1.0-Sa));
if ((2*Sca) <= Sa)
return(Sa*(Da+Sa*(Dca-Da)/(2.0*Sca))+Sca*(1.0-Da)+Dca*(1.0-Sa));
return(Dca*Sa*Sa/(2.0*(Sa-Sca))+Sca*(1.0-Da)+Dca*(1.0-Sa));
}
static inline void CompositeVividLight(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=RoundToUnity(Sa+Da-Sa*Da); /* over blend, as per SVG doc */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=QuantumRange/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*VividLight(QuantumScale*p->red*Sa,Sa,QuantumScale*
q->red*Da,Da);
composite->green=gamma*VividLight(QuantumScale*p->green*Sa,Sa,QuantumScale*
q->green*Da,Da);
composite->blue=gamma*VividLight(QuantumScale*p->blue*Sa,Sa,QuantumScale*
q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*VividLight(QuantumScale*p->index*Sa,Sa,QuantumScale*
q->index*Da,Da);
}
static MagickRealType Xor(const MagickRealType Sca,const MagickRealType Sa,
const MagickRealType Dca,const MagickRealType Da)
{
return(Sca*(1-Da)+Dca*(1-Sa));
}
static inline void CompositeXor(const MagickPixelPacket *p,
const MagickPixelPacket *q,MagickPixelPacket *composite)
{
MagickRealType
Da,
gamma,
Sa;
Sa=1.0-QuantumScale*p->opacity; /* simplify and speed up equations */
Da=1.0-QuantumScale*q->opacity;
gamma=Sa+Da-2*Sa*Da; /* Xor blend mode X=0,Y=1,Z=1 */
composite->opacity=(MagickRealType) QuantumRange*(1.0-gamma);
gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);
composite->red=gamma*Xor(p->red*Sa,Sa,q->red*Da,Da);
composite->green=gamma*Xor(p->green*Sa,Sa,q->green*Da,Da);
composite->blue=gamma*Xor(p->blue*Sa,Sa,q->blue*Da,Da);
if (q->colorspace == CMYKColorspace)
composite->index=gamma*Xor(p->index*Sa,Sa,q->index*Da,Da);
}
static void HSBComposite(const double hue,const double saturation,
const double brightness,MagickRealType *red,MagickRealType *green,
MagickRealType *blue)
{
MagickRealType
f,
h,
p,
q,
t;
/*
Convert HSB to RGB colorspace.
*/
assert(red != (MagickRealType *) NULL);
assert(green != (MagickRealType *) NULL);
assert(blue != (MagickRealType *) NULL);
if (saturation == 0.0)
{
*red=(MagickRealType) QuantumRange*brightness;
*green=(*red);
*blue=(*red);
return;
}
h=6.0*(hue-floor(hue));
f=h-floor((double) h);
p=brightness*(1.0-saturation);
q=brightness*(1.0-saturation*f);
t=brightness*(1.0-saturation*(1.0-f));
switch ((int) h)
{
case 0:
default:
{
*red=(MagickRealType) QuantumRange*brightness;
*green=(MagickRealType) QuantumRange*t;
*blue=(MagickRealType) QuantumRange*p;
break;
}
case 1:
{
*red=(MagickRealType) QuantumRange*q;
*green=(MagickRealType) QuantumRange*brightness;
*blue=(MagickRealType) QuantumRange*p;
break;
}
case 2:
{
*red=(MagickRealType) QuantumRange*p;
*green=(MagickRealType) QuantumRange*brightness;
*blue=(MagickRealType) QuantumRange*t;
break;
}
case 3:
{
*red=(MagickRealType) QuantumRange*p;
*green=(MagickRealType) QuantumRange*q;
*blue=(MagickRealType) QuantumRange*brightness;
break;
}
case 4:
{
*red=(MagickRealType) QuantumRange*t;
*green=(MagickRealType) QuantumRange*p;
*blue=(MagickRealType) QuantumRange*brightness;
break;
}
case 5:
{
*red=(MagickRealType) QuantumRange*brightness;
*green=(MagickRealType) QuantumRange*p;
*blue=(MagickRealType) QuantumRange*q;
break;
}
}
}
MagickExport MagickBooleanType CompositeImage(Image *image,
const CompositeOperator compose,const Image *composite_image,
const ssize_t x_offset,const ssize_t y_offset)
{
MagickBooleanType
status;
status=CompositeImageChannel(image,DefaultChannels,compose,composite_image,
x_offset,y_offset);
return(status);
}
MagickExport MagickBooleanType CompositeImageChannel(Image *image,
const ChannelType channel,const CompositeOperator compose,
const Image *composite_image,const ssize_t x_offset,const ssize_t y_offset)
{
#define CompositeImageTag "Composite/Image"
CacheView
*composite_view,
*image_view;
const char
*value;
ExceptionInfo
*exception;
GeometryInfo
geometry_info;
Image
*destination_image;
MagickBooleanType
modify_outside_overlay,
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
MagickRealType
amount,
destination_dissolve,
midpoint,
percent_brightness,
percent_saturation,
source_dissolve,
threshold;
MagickStatusType
flags;
ssize_t
y;
/*
Prepare composite image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(composite_image != (Image *) NULL);
assert(composite_image->signature == MagickSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
GetMagickPixelPacket(image,&zero);
destination_image=(Image *) NULL;
amount=0.5;
destination_dissolve=1.0;
modify_outside_overlay=MagickFalse;
percent_brightness=100.0;
percent_saturation=100.0;
source_dissolve=1.0;
threshold=0.05f;
switch (compose)
{
case ClearCompositeOp:
case SrcCompositeOp:
case InCompositeOp:
case SrcInCompositeOp:
case OutCompositeOp:
case SrcOutCompositeOp:
case DstInCompositeOp:
case DstAtopCompositeOp:
{
/*
Modify destination outside the overlaid region.
*/
modify_outside_overlay=MagickTrue;
break;
}
case OverCompositeOp:
{
if (image->matte != MagickFalse)
break;
if (composite_image->matte != MagickFalse)
break;
}
case CopyCompositeOp:
{
if ((x_offset < 0) || (y_offset < 0))
break;
if ((x_offset+(ssize_t) composite_image->columns) >= (ssize_t) image->columns)
break;
if ((y_offset+(ssize_t) composite_image->rows) >= (ssize_t) image->rows)
break;
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireCacheView(image);
composite_view=AcquireCacheView(composite_image);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status)
#endif
for (y=0; y < (ssize_t) composite_image->rows; y++)
{
MagickBooleanType
sync;
register const IndexPacket
*composite_indexes;
register const PixelPacket
*p;
register IndexPacket
*indexes;
register PixelPacket
*q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(composite_view,0,y,composite_image->columns,
1,exception);
q=GetCacheViewAuthenticPixels(image_view,x_offset,y+y_offset,
composite_image->columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
composite_indexes=GetCacheViewVirtualIndexQueue(composite_view);
indexes=GetCacheViewAuthenticIndexQueue(image_view);
(void) CopyMagickMemory(q,p,composite_image->columns*sizeof(*p));
if ((indexes != (IndexPacket *) NULL) &&
(composite_indexes != (const IndexPacket *) NULL))
(void) CopyMagickMemory(indexes,composite_indexes,
composite_image->columns*sizeof(*indexes));
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_CompositeImage)
#endif
proceed=SetImageProgress(image,CompositeImageTag,
(MagickOffsetType) y,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
composite_view=DestroyCacheView(composite_view);
image_view=DestroyCacheView(image_view);
return(status);
}
case CopyOpacityCompositeOp:
case ChangeMaskCompositeOp:
{
/*
Modify destination outside the overlaid region and require an alpha
channel to exist, to add transparency.
*/
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
modify_outside_overlay=MagickTrue;
break;
}
case BlurCompositeOp:
{
CacheView
*composite_view,
*destination_view;
MagickPixelPacket
pixel;
MagickRealType
angle_range,
angle_start,
height,
width;
ResampleFilter
*resample_filter;
SegmentInfo
blur;
/*
Blur Image dictated by an overlay gradient map: X = red_channel;
Y = green_channel; compose:args = x_scale[,y_scale[,angle]].
*/
destination_image=CloneImage(image,image->columns,image->rows,MagickTrue,
&image->exception);
if (destination_image == (Image *) NULL)
return(MagickFalse);
/*
Determine the horizontal and vertical maximim blur.
*/
SetGeometryInfo(&geometry_info);
flags=NoValue;
value=GetImageArtifact(composite_image,"compose:args");
if (value != (char *) NULL)
flags=ParseGeometry(value,&geometry_info);
if ((flags & WidthValue) == 0 )
{
destination_image=DestroyImage(destination_image);
return(MagickFalse);
}
width=geometry_info.rho;
height=geometry_info.sigma;
blur.x1=geometry_info.rho;
blur.x2=0.0;
blur.y1=0.0;
blur.y2=geometry_info.sigma;
angle_start=0.0;
angle_range=0.0;
if ((flags & HeightValue) == 0)
blur.y2=blur.x1;
if ((flags & XValue) != 0 )
{
MagickRealType
angle;
angle=DegreesToRadians(geometry_info.xi);
blur.x1=width*cos(angle);
blur.x2=width*sin(angle);
blur.y1=(-height*sin(angle));
blur.y2=height*cos(angle);
}
if ((flags & YValue) != 0 )
{
angle_start=DegreesToRadians(geometry_info.xi);
angle_range=DegreesToRadians(geometry_info.psi)-angle_start;
}
/*
Blur Image by resampling.
*/
pixel=zero;
exception=(&image->exception);
resample_filter=AcquireResampleFilter(image,&image->exception);
SetResampleFilter(resample_filter,CubicFilter,2.0);
destination_view=AcquireCacheView(destination_image);
composite_view=AcquireCacheView(composite_image);
for (y=0; y < (ssize_t) composite_image->rows; y++)
{
MagickBooleanType
sync;
register const PixelPacket
*restrict p;
register PixelPacket
*restrict r;
register IndexPacket
*restrict destination_indexes;
register ssize_t
x;
if (((y+y_offset) < 0) || ((y+y_offset) >= (ssize_t) image->rows))
continue;
p=GetCacheViewVirtualPixels(composite_view,0,y,composite_image->columns,
1,exception);
r=QueueCacheViewAuthenticPixels(destination_view,0,y,
destination_image->columns,1,&image->exception);
if ((p == (const PixelPacket *) NULL) || (r == (PixelPacket *) NULL))
break;
destination_indexes=GetCacheViewAuthenticIndexQueue(destination_view);
for (x=0; x < (ssize_t) composite_image->columns; x++)
{
if (((x_offset+x) < 0) || ((x_offset+x) >= (ssize_t) image->columns))
{
p++;
continue;
}
if (fabs(angle_range) > MagickEpsilon)
{
MagickRealType
angle;
angle=angle_start+angle_range*QuantumScale*
GetPixelBlue(p);
blur.x1=width*cos(angle);
blur.x2=width*sin(angle);
blur.y1=(-height*sin(angle));
blur.y2=height*cos(angle);
}
ScaleResampleFilter(resample_filter,blur.x1*QuantumScale*
GetPixelRed(p),blur.y1*QuantumScale*
GetPixelGreen(p),blur.x2*QuantumScale*
GetPixelRed(p),blur.y2*QuantumScale*
GetPixelGreen(p));
(void) ResamplePixelColor(resample_filter,(double) x_offset+x,
(double) y_offset+y,&pixel);
SetPixelPacket(destination_image,&pixel,r,destination_indexes+x);
p++;
r++;
}
sync=SyncCacheViewAuthenticPixels(destination_view,exception);
if (sync == MagickFalse)
break;
}
resample_filter=DestroyResampleFilter(resample_filter);
composite_view=DestroyCacheView(composite_view);
destination_view=DestroyCacheView(destination_view);
composite_image=destination_image;
break;
}
case DisplaceCompositeOp:
case DistortCompositeOp:
{
CacheView
*composite_view,
*destination_view,
*image_view;
MagickPixelPacket
pixel;
MagickRealType
horizontal_scale,
vertical_scale;
PointInfo
center,
offset;
register IndexPacket
*restrict destination_indexes;
register PixelPacket
*restrict r;
/*
Displace/Distort based on overlay gradient map:
X = red_channel; Y = green_channel;
compose:args = x_scale[,y_scale[,center.x,center.y]]
*/
destination_image=CloneImage(image,image->columns,image->rows,MagickTrue,
&image->exception);
if (destination_image == (Image *) NULL)
return(MagickFalse);
SetGeometryInfo(&geometry_info);
flags=NoValue;
value=GetImageArtifact(composite_image,"compose:args");
if (value != (char *) NULL)
flags=ParseGeometry(value,&geometry_info);
if ((flags & (WidthValue|HeightValue)) == 0 )
{
if ((flags & AspectValue) == 0)
{
horizontal_scale=(MagickRealType) (composite_image->columns-1.0)/
2.0;
vertical_scale=(MagickRealType) (composite_image->rows-1.0)/2.0;
}
else
{
horizontal_scale=(MagickRealType) (image->columns-1.0)/2.0;
vertical_scale=(MagickRealType) (image->rows-1.0)/2.0;
}
}
else
{
horizontal_scale=geometry_info.rho;
vertical_scale=geometry_info.sigma;
if ((flags & PercentValue) != 0)
{
if ((flags & AspectValue) == 0)
{
horizontal_scale*=(composite_image->columns-1.0)/200.0;
vertical_scale*=(composite_image->rows-1.0)/200.0;
}
else
{
horizontal_scale*=(image->columns-1.0)/200.0;
vertical_scale*=(image->rows-1.0)/200.0;
}
}
if ((flags & HeightValue) == 0)
vertical_scale=horizontal_scale;
}
/*
Determine fixed center point for absolute distortion map
Absolute distort ==
Displace offset relative to a fixed absolute point
Select that point according to +X+Y user inputs.
default = center of overlay image
arg flag '!' = locations/percentage relative to background image
*/
center.x=(MagickRealType) x_offset;
center.y=(MagickRealType) y_offset;
if (compose == DistortCompositeOp)
{
if ((flags & XValue) == 0)
if ((flags & AspectValue) == 0)
center.x=(MagickRealType) x_offset+(composite_image->columns-1)/
2.0;
else
center.x=((MagickRealType) image->columns-1)/2.0;
else
if ((flags & AspectValue) == 0)
center.x=(MagickRealType) x_offset+geometry_info.xi;
else
center.x=geometry_info.xi;
if ((flags & YValue) == 0)
if ((flags & AspectValue) == 0)
center.y=(MagickRealType) y_offset+(composite_image->rows-1)/2.0;
else
center.y=((MagickRealType) image->rows-1)/2.0;
else
if ((flags & AspectValue) == 0)
center.y=(MagickRealType) y_offset+geometry_info.psi;
else
center.y=geometry_info.psi;
}
/*
Shift the pixel offset point as defined by the provided,
displacement/distortion map. -- Like a lens...
*/
pixel=zero;
exception=(&image->exception);
image_view=AcquireCacheView(image);
destination_view=AcquireCacheView(destination_image);
composite_view=AcquireCacheView(composite_image);
for (y=0; y < (ssize_t) composite_image->rows; y++)
{
MagickBooleanType
sync;
register const PixelPacket
*restrict p;
register ssize_t
x;
if (((y+y_offset) < 0) || ((y+y_offset) >= (ssize_t) image->rows))
continue;
p=GetCacheViewVirtualPixels(composite_view,0,y,composite_image->columns,
1,exception);
r=QueueCacheViewAuthenticPixels(destination_view,0,y,
destination_image->columns,1,&image->exception);
if ((p == (const PixelPacket *) NULL) || (r == (PixelPacket *) NULL))
break;
destination_indexes=GetCacheViewAuthenticIndexQueue(destination_view);
for (x=0; x < (ssize_t) composite_image->columns; x++)
{
if (((x_offset+x) < 0) || ((x_offset+x) >= (ssize_t) image->columns))
{
p++;
continue;
}
/*
Displace the offset.
*/
offset.x=(horizontal_scale*(GetPixelRed(p)-
(((MagickRealType) QuantumRange+1.0)/2.0)))/(((MagickRealType)
QuantumRange+1.0)/2.0)+center.x+((compose == DisplaceCompositeOp) ?
x : 0);
offset.y=(vertical_scale*(GetPixelGreen(p)-
(((MagickRealType) QuantumRange+1.0)/2.0)))/(((MagickRealType)
QuantumRange+1.0)/2.0)+center.y+((compose == DisplaceCompositeOp) ?
y : 0);
(void) InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) offset.x,(double) offset.y,
&pixel,exception);
/*
Mask with the 'invalid pixel mask' in alpha channel.
*/
pixel.opacity=(MagickRealType) QuantumRange*(1.0-(1.0-QuantumScale*
pixel.opacity)*(1.0-QuantumScale*GetPixelOpacity(p)));
SetPixelPacket(destination_image,&pixel,r,destination_indexes+x);
p++;
r++;
}
sync=SyncCacheViewAuthenticPixels(destination_view,exception);
if (sync == MagickFalse)
break;
}
destination_view=DestroyCacheView(destination_view);
composite_view=DestroyCacheView(composite_view);
image_view=DestroyCacheView(image_view);
composite_image=destination_image;
break;
}
case DissolveCompositeOp:
{
/*
Geometry arguments to dissolve factors.
*/
value=GetImageArtifact(composite_image,"compose:args");
if (value != (char *) NULL)
{
flags=ParseGeometry(value,&geometry_info);
source_dissolve=geometry_info.rho/100.0;
destination_dissolve=1.0;
if ((source_dissolve-MagickEpsilon) < 0.0)
source_dissolve=0.0;
if ((source_dissolve+MagickEpsilon) > 1.0)
{
destination_dissolve=2.0-source_dissolve;
source_dissolve=1.0;
}
if ((flags & SigmaValue) != 0)
destination_dissolve=geometry_info.sigma/100.0;
if ((destination_dissolve-MagickEpsilon) < 0.0)
destination_dissolve=0.0;
modify_outside_overlay=MagickTrue;
if ((destination_dissolve+MagickEpsilon) > 1.0 )
{
destination_dissolve=1.0;
modify_outside_overlay=MagickFalse;
}
}
break;
}
case BlendCompositeOp:
{
value=GetImageArtifact(composite_image,"compose:args");
if (value != (char *) NULL)
{
flags=ParseGeometry(value,&geometry_info);
source_dissolve=geometry_info.rho/100.0;
destination_dissolve=1.0-source_dissolve;
if ((flags & SigmaValue) != 0)
destination_dissolve=geometry_info.sigma/100.0;
modify_outside_overlay=MagickTrue;
if ((destination_dissolve+MagickEpsilon) > 1.0)
modify_outside_overlay=MagickFalse;
}
break;
}
case MathematicsCompositeOp:
{
/*
Just collect the values from "compose:args", setting.
Unused values are set to zero automagically.
Arguments are normally a comma separated list, so this probably should
be changed to some 'general comma list' parser, (with a minimum
number of values)
*/
SetGeometryInfo(&geometry_info);
value=GetImageArtifact(composite_image,"compose:args");
if (value != (char *) NULL)
(void) ParseGeometry(value,&geometry_info);
break;
}
case ModulateCompositeOp:
{
/*
Determine the brightness and saturation scale.
*/
value=GetImageArtifact(composite_image,"compose:args");
if (value != (char *) NULL)
{
flags=ParseGeometry(value,&geometry_info);
percent_brightness=geometry_info.rho;
if ((flags & SigmaValue) != 0)
percent_saturation=geometry_info.sigma;
}
break;
}
case ThresholdCompositeOp:
{
/*
Determine the amount and threshold.
This Composition method is depreciated
*/
value=GetImageArtifact(composite_image,"compose:args");
if (value != (char *) NULL)
{
flags=ParseGeometry(value,&geometry_info);
amount=geometry_info.rho;
threshold=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
threshold=0.05f;
}
threshold*=QuantumRange;
break;
}
default:
break;
}
value=GetImageArtifact(composite_image,"compose:outside-overlay");
if (value != (const char *) NULL)
modify_outside_overlay=IsMagickTrue(value);
/*
Composite image.
*/
status=MagickTrue;
progress=0;
midpoint=((MagickRealType) QuantumRange+1.0)/2;
GetMagickPixelPacket(composite_image,&zero);
exception=(&image->exception);
image_view=AcquireCacheView(image);
composite_view=AcquireCacheView(composite_image);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const PixelPacket
*pixels;
double
brightness,
hue,
saturation,
sans;
MagickPixelPacket
composite,
destination,
source;
register const IndexPacket
*restrict composite_indexes;
register const PixelPacket
*restrict p;
register IndexPacket
*restrict indexes;
register ssize_t
x;
register PixelPacket
*restrict q;
if (status == MagickFalse)
continue;
if (modify_outside_overlay == MagickFalse)
{
if (y < y_offset)
continue;
if ((y-y_offset) >= (ssize_t) composite_image->rows)
continue;
}
/*
If pixels is NULL, y is outside overlay region.
*/
pixels=(PixelPacket *) NULL;
p=(PixelPacket *) NULL;
if ((y >= y_offset) && ((y-y_offset) < (ssize_t) composite_image->rows))
{
p=GetCacheViewVirtualPixels(composite_view,0,y-y_offset,
composite_image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
pixels=p;
if (x_offset < 0)
p-=x_offset;
}
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
composite_indexes=GetCacheViewVirtualIndexQueue(composite_view);
source=zero;
destination=zero;
hue=0.0;
saturation=0.0;
brightness=0.0;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (modify_outside_overlay == MagickFalse)
{
if (x < x_offset)
{
q++;
continue;
}
if ((x-x_offset) >= (ssize_t) composite_image->columns)
break;
}
destination.red=(MagickRealType) GetPixelRed(q);
destination.green=(MagickRealType) GetPixelGreen(q);
destination.blue=(MagickRealType) GetPixelBlue(q);
if (image->matte != MagickFalse)
destination.opacity=(MagickRealType) GetPixelOpacity(q);
if (image->colorspace == CMYKColorspace)
destination.index=(MagickRealType) GetPixelIndex(indexes+x);
if (image->colorspace == CMYKColorspace)
{
destination.red=(MagickRealType) QuantumRange-destination.red;
destination.green=(MagickRealType) QuantumRange-destination.green;
destination.blue=(MagickRealType) QuantumRange-destination.blue;
destination.index=(MagickRealType) QuantumRange-destination.index;
}
/*
Handle destination modifications outside overlaid region.
*/
composite=destination;
if ((pixels == (PixelPacket *) NULL) || (x < x_offset) ||
((x-x_offset) >= (ssize_t) composite_image->columns))
{
switch (compose)
{
case DissolveCompositeOp:
case BlendCompositeOp:
{
composite.opacity=(MagickRealType) (QuantumRange-
destination_dissolve*(QuantumRange-composite.opacity));
break;
}
case ClearCompositeOp:
case SrcCompositeOp:
{
CompositeClear(&destination,&composite);
break;
}
case InCompositeOp:
case SrcInCompositeOp:
case OutCompositeOp:
case SrcOutCompositeOp:
case DstInCompositeOp:
case DstAtopCompositeOp:
case CopyOpacityCompositeOp:
case ChangeMaskCompositeOp:
{
composite.opacity=(MagickRealType) TransparentOpacity;
break;
}
default:
{
(void) GetOneVirtualMagickPixel(composite_image,x-x_offset,
y-y_offset,&composite,exception);
break;
}
}
if (image->colorspace == CMYKColorspace)
{
composite.red=(MagickRealType) QuantumRange-composite.red;
composite.green=(MagickRealType) QuantumRange-composite.green;
composite.blue=(MagickRealType) QuantumRange-composite.blue;
composite.index=(MagickRealType) QuantumRange-composite.index;
}
SetPixelRed(q,ClampToQuantum(composite.red));
SetPixelGreen(q,ClampToQuantum(composite.green));
SetPixelBlue(q,ClampToQuantum(composite.blue));
if (image->matte != MagickFalse)
SetPixelOpacity(q,ClampToQuantum(composite.opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(indexes+x,ClampToQuantum(composite.index));
q++;
continue;
}
/*
Handle normal overlay of source onto destination.
*/
source.red=(MagickRealType) GetPixelRed(p);
source.green=(MagickRealType) GetPixelGreen(p);
source.blue=(MagickRealType) GetPixelBlue(p);
if (composite_image->matte != MagickFalse)
source.opacity=(MagickRealType) GetPixelOpacity(p);
if (composite_image->colorspace == CMYKColorspace)
source.index=(MagickRealType) GetPixelIndex(composite_indexes+
x-x_offset);
if (composite_image->colorspace == CMYKColorspace)
{
source.red=(MagickRealType) QuantumRange-source.red;
source.green=(MagickRealType) QuantumRange-source.green;
source.blue=(MagickRealType) QuantumRange-source.blue;
source.index=(MagickRealType) QuantumRange-source.index;
}
switch (compose)
{
/* Duff-Porter Compositions */
case ClearCompositeOp:
{
CompositeClear(&destination,&composite);
break;
}
case SrcCompositeOp:
case CopyCompositeOp:
case ReplaceCompositeOp:
{
composite=source;
break;
}
case NoCompositeOp:
case DstCompositeOp:
break;
case OverCompositeOp:
case SrcOverCompositeOp:
{
MagickPixelCompositeOver(&source,source.opacity,&destination,
destination.opacity,&composite);
break;
}
case DstOverCompositeOp:
{
MagickPixelCompositeOver(&destination,destination.opacity,&source,
source.opacity,&composite);
break;
}
case SrcInCompositeOp:
case InCompositeOp:
{
CompositeIn(&source,&destination,&composite);
break;
}
case DstInCompositeOp:
{
CompositeIn(&destination,&source,&composite);
break;
}
case OutCompositeOp:
case SrcOutCompositeOp:
{
CompositeOut(&source,&destination,&composite);
break;
}
case DstOutCompositeOp:
{
CompositeOut(&destination,&source,&composite);
break;
}
case AtopCompositeOp:
case SrcAtopCompositeOp:
{
CompositeAtop(&source,&destination,&composite);
break;
}
case DstAtopCompositeOp:
{
CompositeAtop(&destination,&source,&composite);
break;
}
case XorCompositeOp:
{
CompositeXor(&source,&destination,&composite);
break;
}
/* Mathematical Compositions */
case PlusCompositeOp:
{
CompositePlus(&source,&destination,channel,&composite);
break;
}
case MinusDstCompositeOp:
{
CompositeMinus(&source,&destination,channel,&composite);
break;
}
case MinusSrcCompositeOp:
{
CompositeMinus(&destination,&source,channel,&composite);
break;
}
case ModulusAddCompositeOp:
{
CompositeModulusAdd(&source,&destination,channel,&composite);
break;
}
case ModulusSubtractCompositeOp:
{
CompositeModulusSubtract(&source,&destination,channel,&composite);
break;
}
case DifferenceCompositeOp:
{
CompositeDifference(&source,&destination,channel,&composite);
break;
}
case ExclusionCompositeOp:
{
CompositeExclusion(&source,&destination,channel,&composite);
break;
}
case MultiplyCompositeOp:
{
CompositeMultiply(&source,&destination,channel,&composite);
break;
}
case ScreenCompositeOp:
{
CompositeScreen(&source,&destination,channel,&composite);
break;
}
case DivideDstCompositeOp:
{
CompositeDivide(&source,&destination,channel,&composite);
break;
}
case DivideSrcCompositeOp:
{
CompositeDivide(&destination,&source,channel,&composite);
break;
}
case DarkenCompositeOp:
{
CompositeDarken(&source,&destination,channel,&composite);
break;
}
case LightenCompositeOp:
{
CompositeLighten(&source,&destination,channel,&composite);
break;
}
case DarkenIntensityCompositeOp:
{
CompositeDarkenIntensity(&source,&destination,channel,&composite);
break;
}
case LightenIntensityCompositeOp:
{
CompositeLightenIntensity(&source,&destination,channel,&composite);
break;
}
case MathematicsCompositeOp:
{
CompositeMathematics(&source,&destination,channel,&geometry_info,
&composite);
break;
}
/* Lighting Compositions */
case ColorDodgeCompositeOp:
{
CompositeColorDodge(&source,&destination,&composite);
break;
}
case ColorBurnCompositeOp:
{
CompositeColorBurn(&source,&destination,&composite);
break;
}
case LinearDodgeCompositeOp:
{
CompositeLinearDodge(&source,&destination,&composite);
break;
}
case LinearBurnCompositeOp:
{
CompositeLinearBurn(&source,&destination,&composite);
break;
}
case HardLightCompositeOp:
{
CompositeHardLight(&source,&destination,&composite);
break;
}
case OverlayCompositeOp:
{
/* Overlay = Reversed HardLight. */
CompositeHardLight(&destination,&source,&composite);
break;
}
case SoftLightCompositeOp:
{
CompositeSoftLight(&source,&destination,&composite);
break;
}
case LinearLightCompositeOp:
{
CompositeLinearLight(&source,&destination,&composite);
break;
}
case PegtopLightCompositeOp:
{
CompositePegtopLight(&source,&destination,&composite);
break;
}
case VividLightCompositeOp:
{
CompositeVividLight(&source,&destination,&composite);
break;
}
case PinLightCompositeOp:
{
CompositePinLight(&source,&destination,&composite);
break;
}
/* Other Composition */
case ChangeMaskCompositeOp:
{
if ((composite.opacity > ((MagickRealType) QuantumRange/2.0)) ||
(IsMagickColorSimilar(&source,&destination) != MagickFalse))
composite.opacity=(MagickRealType) TransparentOpacity;
else
composite.opacity=(MagickRealType) OpaqueOpacity;
break;
}
case BumpmapCompositeOp:
{
if (source.opacity == TransparentOpacity)
break;
CompositeBumpmap(&source,&destination,&composite);
break;
}
case DissolveCompositeOp:
{
MagickPixelCompositeOver(&source,(MagickRealType) (QuantumRange-
source_dissolve*(QuantumRange-source.opacity)),&destination,
(MagickRealType) (QuantumRange-destination_dissolve*(QuantumRange-
destination.opacity)),&composite);
break;
}
case BlendCompositeOp:
{
MagickPixelCompositeBlend(&source,source_dissolve,&destination,
destination_dissolve,&composite);
break;
}
case ThresholdCompositeOp:
{
CompositeThreshold(&source,&destination,threshold,amount,&composite);
break;
}
case ModulateCompositeOp:
{
ssize_t
offset;
if (source.opacity == TransparentOpacity)
break;
offset=(ssize_t) (MagickPixelIntensityToQuantum(&source)-midpoint);
if (offset == 0)
break;
CompositeHSB(destination.red,destination.green,destination.blue,&hue,
&saturation,&brightness);
brightness+=(0.01*percent_brightness*offset)/midpoint;
saturation*=0.01*percent_saturation;
HSBComposite(hue,saturation,brightness,&composite.red,
&composite.green,&composite.blue);
break;
}
case HueCompositeOp:
{
if (source.opacity == TransparentOpacity)
break;
if (destination.opacity == TransparentOpacity)
{
composite=source;
break;
}
CompositeHSB(destination.red,destination.green,destination.blue,&hue,
&saturation,&brightness);
CompositeHSB(source.red,source.green,source.blue,&hue,&sans,&sans);
HSBComposite(hue,saturation,brightness,&composite.red,
&composite.green,&composite.blue);
if (source.opacity < destination.opacity)
composite.opacity=source.opacity;
break;
}
case SaturateCompositeOp:
{
if (source.opacity == TransparentOpacity)
break;
if (destination.opacity == TransparentOpacity)
{
composite=source;
break;
}
CompositeHSB(destination.red,destination.green,destination.blue,&hue,
&saturation,&brightness);
CompositeHSB(source.red,source.green,source.blue,&sans,&saturation,
&sans);
HSBComposite(hue,saturation,brightness,&composite.red,
&composite.green,&composite.blue);
if (source.opacity < destination.opacity)
composite.opacity=source.opacity;
break;
}
case LuminizeCompositeOp:
{
if (source.opacity == TransparentOpacity)
break;
if (destination.opacity == TransparentOpacity)
{
composite=source;
break;
}
CompositeHSB(destination.red,destination.green,destination.blue,&hue,
&saturation,&brightness);
CompositeHSB(source.red,source.green,source.blue,&sans,&sans,
&brightness);
HSBComposite(hue,saturation,brightness,&composite.red,
&composite.green,&composite.blue);
if (source.opacity < destination.opacity)
composite.opacity=source.opacity;
break;
}
case ColorizeCompositeOp:
{
if (source.opacity == TransparentOpacity)
break;
if (destination.opacity == TransparentOpacity)
{
composite=source;
break;
}
CompositeHSB(destination.red,destination.green,destination.blue,&sans,
&sans,&brightness);
CompositeHSB(source.red,source.green,source.blue,&hue,&saturation,
&sans);
HSBComposite(hue,saturation,brightness,&composite.red,
&composite.green,&composite.blue);
if (source.opacity < destination.opacity)
composite.opacity=source.opacity;
break;
}
case CopyRedCompositeOp:
case CopyCyanCompositeOp:
{
composite.red=source.red;
break;
}
case CopyGreenCompositeOp:
case CopyMagentaCompositeOp:
{
composite.green=source.green;
break;
}
case CopyBlueCompositeOp:
case CopyYellowCompositeOp:
{
composite.blue=source.blue;
break;
}
case CopyOpacityCompositeOp:
{
if (source.matte == MagickFalse)
{
composite.opacity=(MagickRealType) (QuantumRange-
MagickPixelIntensityToQuantum(&source));
break;
}
composite.opacity=source.opacity;
break;
}
case CopyBlackCompositeOp:
{
if (source.colorspace != CMYKColorspace)
ConvertRGBToCMYK(&source);
composite.index=source.index;
break;
}
/* compose methods that are already handled */
case BlurCompositeOp:
case DisplaceCompositeOp:
case DistortCompositeOp:
{
composite=source;
break;
}
default:
break;
}
if (image->colorspace == CMYKColorspace)
{
composite.red=(MagickRealType) QuantumRange-composite.red;
composite.green=(MagickRealType) QuantumRange-composite.green;
composite.blue=(MagickRealType) QuantumRange-composite.blue;
composite.index=(MagickRealType) QuantumRange-composite.index;
}
SetPixelRed(q,ClampToQuantum(composite.red));
SetPixelGreen(q,ClampToQuantum(composite.green));
SetPixelBlue(q,ClampToQuantum(composite.blue));
SetPixelOpacity(q,ClampToQuantum(composite.opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(indexes+x,ClampToQuantum(composite.index));
p++;
if (p >= (pixels+composite_image->columns))
p=pixels;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_CompositeImageChannel)
#endif
proceed=SetImageProgress(image,CompositeImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
composite_view=DestroyCacheView(composite_view);
image_view=DestroyCacheView(image_view);
if (destination_image != (Image * ) NULL)
destination_image=DestroyImage(destination_image);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T e x t u r e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TextureImage() repeatedly tiles the texture image across and down the image
% canvas.
%
% The format of the TextureImage method is:
%
% MagickBooleanType TextureImage(Image *image,const Image *texture)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o texture: This image is the texture to layer on the background.
%
*/
MagickExport MagickBooleanType TextureImage(Image *image,const Image *texture)
{
#define TextureImageTag "Texture/Image"
CacheView
*image_view,
*texture_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickSignature);
if (texture == (const Image *) NULL)
return(MagickFalse);
(void) SetImageVirtualPixelMethod(texture,TileVirtualPixelMethod);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
if ((image->compose != CopyCompositeOp) &&
((image->compose != OverCompositeOp) || (image->matte != MagickFalse) ||
(texture->matte != MagickFalse)))
{
/*
Tile texture onto the image background.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status)
#endif
for (y=0; y < (ssize_t) image->rows; y+=(ssize_t) texture->rows)
{
register ssize_t
x;
if (status == MagickFalse)
continue;
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) texture->columns)
{
MagickBooleanType
thread_status;
thread_status=CompositeImage(image,image->compose,texture,x+
texture->tile_offset.x,y+texture->tile_offset.y);
if (thread_status == MagickFalse)
{
status=thread_status;
break;
}
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_TextureImage)
#endif
proceed=SetImageProgress(image,TextureImageTag,(MagickOffsetType)
y,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
(void) SetImageProgress(image,TextureImageTag,(MagickOffsetType)
image->rows,image->rows);
return(status);
}
/*
Tile texture onto the image background (optimized).
*/
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireCacheView(image);
texture_view=AcquireCacheView(texture);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register const IndexPacket
*texture_indexes;
register const PixelPacket
*p;
register IndexPacket
*indexes;
register ssize_t
x;
register PixelPacket
*q;
size_t
width;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(texture_view,texture->tile_offset.x,(y+
texture->tile_offset.y) % texture->rows,texture->columns,1,exception);
q=QueueCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
texture_indexes=GetCacheViewVirtualIndexQueue(texture_view);
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) texture->columns)
{
width=texture->columns;
if ((x+(ssize_t) width) > (ssize_t) image->columns)
width=image->columns-x;
(void) CopyMagickMemory(q,p,width*sizeof(*p));
if ((image->colorspace == CMYKColorspace) &&
(texture->colorspace == CMYKColorspace))
{
(void) CopyMagickMemory(indexes,texture_indexes,width*
sizeof(*indexes));
indexes+=width;
}
q+=width;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_TextureImage)
#endif
proceed=SetImageProgress(image,TextureImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
texture_view=DestroyCacheView(texture_view);
image_view=DestroyCacheView(image_view);
return(status);
}
|
normal.c | // RUN: %libomp-compile-and-run | FileCheck %s
// RUN: %libomp-compile-and-run | %sort-threads | FileCheck --check-prefix=THREADS %s
// REQUIRES: ompt
#include "callback.h"
int main()
{
#pragma omp parallel num_threads(4)
{
print_ids(0);
print_ids(1);
}
// Check if libomp supports the callbacks for this test.
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_thread_begin'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_thread_end'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_parallel_begin'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_parallel_end'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_event_implicit_task_begin'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_event_implicit_task_end'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_event_barrier_begin'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_event_barrier_end'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_event_wait_barrier_begin'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_event_wait_barrier_end'
// CHECK: 0: NULL_POINTER=[[NULL:.*$]]
// CHECK: {{^}}[[MASTER_ID:[0-9]+]]: ompt_event_parallel_begin: parent_task_id=[[PARENT_TASK_ID:[0-9]+]], parent_task_frame.exit=[[NULL]], parent_task_frame.reenter={{0x[0-f]+}}, parallel_id=[[PARALLEL_ID:[0-9]+]], requested_team_size=4, parallel_function=0x{{[0-f]+}}, invoker=[[PARALLEL_INVOKER:[0-9]+]]
// CHECK-DAG: {{^}}[[MASTER_ID]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// CHECK-DAG: {{^}}[[MASTER_ID]]: ompt_event_implicit_task_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// Note that we cannot ensure that the worker threads have already called barrier_end and implicit_task_end before parallel_end!
// CHECK-DAG: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// CHECK-DAG: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// CHECK-DAG: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// CHECK-DAG: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// CHECK-DAG: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// CHECK-DAG: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_parallel_end: parallel_id=[[PARALLEL_ID]], task_id=[[PARENT_TASK_ID]], invoker=[[PARALLEL_INVOKER]]
// THREADS: 0: NULL_POINTER=[[NULL:.*$]]
// THREADS: {{^}}[[MASTER_ID:[0-9]+]]: ompt_event_thread_begin: thread_type=ompt_thread_initial=1, thread_id=[[MASTER_ID]]
// THREADS: {{^}}[[MASTER_ID]]: ompt_event_parallel_begin: parent_task_id=[[PARENT_TASK_ID:[0-9]+]], parent_task_frame.exit=[[NULL]], parent_task_frame.reenter={{0x[0-f]+}}, parallel_id=[[PARALLEL_ID:[0-9]+]], requested_team_size=4, parallel_function=0x{{[0-f]+}}, invoker={{.*}}
// THREADS: {{^}}[[MASTER_ID]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// THREADS: {{^}}[[MASTER_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[MASTER_ID]]: task level 1: parallel_id=0, task_id=[[PARENT_TASK_ID]]
// THREADS-NOT: {{^}}[[MASTER_ID]]: ompt_event_implicit_task_end
// THREADS: {{^}}[[MASTER_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[MASTER_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[MASTER_ID]]: ompt_event_implicit_task_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_thread_begin: thread_type=ompt_thread_worker=2, thread_id=[[THREAD_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// THREADS: {{^}}[[THREAD_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: task level 1: parallel_id=0, task_id=[[PARENT_TASK_ID]]
// THREADS-NOT: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_end
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_thread_begin: thread_type=ompt_thread_worker=2, thread_id=[[THREAD_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// THREADS: {{^}}[[THREAD_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: task level 1: parallel_id=0, task_id=[[PARENT_TASK_ID]]
// THREADS-NOT: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_end
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_thread_begin: thread_type=ompt_thread_worker=2, thread_id=[[THREAD_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID:[0-9]+]]
// THREADS: {{^}}[[THREAD_ID]]: task level 0: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: task level 1: parallel_id=0, task_id=[[PARENT_TASK_ID]]
// THREADS-NOT: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_end
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id=[[PARALLEL_ID]], task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
// THREADS: {{^}}[[THREAD_ID]]: ompt_event_implicit_task_end: parallel_id={{[0-9]+}}, task_id=[[IMPLICIT_TASK_ID]]
return 0;
}
|
ParallelOpenMP.h | #pragma once
#include <cstddef>
#include <exception>
#include <c10/util/SmallVector.h>
#ifdef _OPENMP
#define INTRA_OP_PARALLEL
#include <omp.h>
#endif
namespace at {
#ifdef _OPENMP
namespace internal {
template <typename F>
inline void invoke_parallel(int64_t begin, int64_t end, int64_t grain_size, const F& f) {
std::atomic_flag err_flag = ATOMIC_FLAG_INIT;
std::exception_ptr eptr;
#pragma omp parallel
{
// choose number of tasks based on grain size and number of threads
// can't use num_threads clause due to bugs in GOMP's thread pool (See #32008)
int64_t num_threads = omp_get_num_threads();
if (grain_size > 0) {
num_threads = std::min(num_threads, divup((end - begin), grain_size));
}
int64_t tid = omp_get_thread_num();
int64_t chunk_size = divup((end - begin), num_threads);
int64_t begin_tid = begin + tid * chunk_size;
if (begin_tid < end) {
try {
internal::ThreadIdGuard tid_guard(tid);
f(begin_tid, std::min(end, chunk_size + begin_tid));
} catch (...) {
if (!err_flag.test_and_set()) {
eptr = std::current_exception();
}
}
}
}
if (eptr) {
std::rethrow_exception(eptr);
}
}
} // namespace internal
#endif // _OPENMP
template <class F>
inline void parallel_for(
const int64_t begin,
const int64_t end,
const int64_t grain_size,
const F& f) {
TORCH_INTERNAL_ASSERT_DEBUG_ONLY(grain_size >= 0);
if (begin >= end) {
return;
}
#ifdef _OPENMP
at::internal::lazy_init_num_threads();
const auto numiter = end - begin;
const bool use_parallel = (
numiter > grain_size && numiter > 1 &&
omp_get_max_threads() > 1 && !omp_in_parallel());
if (!use_parallel) {
internal::ThreadIdGuard tid_guard(0);
f(begin, end);
return;
}
internal::invoke_parallel(begin, end, grain_size, f);
#else
internal::ThreadIdGuard tid_guard(0);
f(begin, end);
#endif
}
template <class scalar_t, class F, class SF>
inline scalar_t parallel_reduce(
const int64_t begin,
const int64_t end,
const int64_t grain_size,
const scalar_t ident,
const F& f,
const SF& sf) {
TORCH_CHECK(grain_size >= 0);
if (begin >= end) {
return ident;
}
#ifdef _OPENMP
at::internal::lazy_init_num_threads();
const bool use_parallel = (
(end - begin) <= grain_size ||
in_parallel_region() ||
get_num_threads() == 1);
if (!use_parallel) {
internal::ThreadIdGuard tid_guard(0);
return f(begin, end, ident);
}
c10::SmallVector<scalar_t, 64> results(at::get_num_threads(), ident);
internal::invoke_parallel(begin, end, grain_size,
[&](const int64_t my_begin, const int64_t my_end) {
const auto tid = at::get_thread_num();
results[tid] = f(my_begin, my_end, ident);
}
);
scalar_t result = ident;
for (auto partial_result : results) {
result = sf(result, partial_result);
}
return result;
#else
internal::ThreadIdGuard tid_guard(0);
return f(begin, end, ident);
#endif
}
} // namespace at
|
mult_vMv_split_grid.h | #ifndef _MULT_VMV_SPLIT_GRID_H
#define _MULT_VMV_SPLIT_GRID_H
#ifdef USE_GRID
//Try to save memory at the cost of some performance
#define VMV_SPLIT_GRID_MEM_SAVE
//Don't splat-vectorize packed mesonfield at beginning, instead do it at the point of use
//#define VMV_SPLIT_GRID_STREAMING_SPLAT
//Do blocked matrix multiplication
#define VMV_BLOCKED_MATRIX_MULT
template<typename mf_Policies>
class multiply_M_r_op_grid: public SCFoperation<Grid::Vector<
#ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
typename mf_Policies::ScalarComplexType
#else
typename mf_Policies::ComplexType
#endif
> >{
typedef typename mf_Policies::ComplexType VectorComplexType;
#ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
typedef typename mf_Policies::ScalarComplexType MComplexType;
#else
typedef typename mf_Policies::ComplexType MComplexType;
#endif
std::vector<Grid::Vector<VectorComplexType> >& Mr;
const std::vector<Grid::Vector<VectorComplexType> >& rreord;
std::vector<int> const* i_packed_unmap_all;
public:
multiply_M_r_op_grid(std::vector<Grid::Vector<VectorComplexType> >& _Mr, const std::vector<Grid::Vector<VectorComplexType> >& _rreord,
std::vector<int> const* _i_packed_unmap_all): Mr(_Mr), rreord(_rreord),i_packed_unmap_all(_i_packed_unmap_all){
}
~multiply_M_r_op_grid(){
}
void operator()(const Grid::Vector<MComplexType>& M_packed, const int scf, const int rows, const int cols){
#ifndef MEMTEST_MODE
const std::vector<int> &i_packed_unmap = i_packed_unmap_all[scf];
# ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
VectorComplexType tmp;
# endif
# ifdef VMV_BLOCKED_MATRIX_MULT
int block_width_max = cols;
int block_height_max = 32; //4;
//Blocked matrix multiply
for(int i0=0; i0<rows; i0+=block_height_max){
int iblock_size = std::min(rows - i0, block_height_max);
for(int j0=0; j0<cols; j0+=block_width_max){
int jblock_size = std::min(cols - j0, block_width_max);
for(int ii=0;ii<iblock_size;ii++){
VectorComplexType &into = Mr[scf][i_packed_unmap[i0+ii]];
for(int jj=0;jj<jblock_size;jj++){
# ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
vsplat(tmp,M_packed[cols*(i0+ii) +j0+jj]);
into = into + tmp*rreord[scf][j0+jj];
# else
into = into + M_packed[cols*(i0+ii) +j0+jj]*rreord[scf][j0+jj];
# endif
}
}
}
}
# else
for(int i=0;i<rows;i++){
VectorComplexType &into = Mr[scf][i_packed_unmap[i]];
zeroit(into);
for(int j=0;j<cols;j++){
# ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
vsplat(tmp,M_packed[cols*i + j]);
into = into + tmp*rreord[scf][j];
# else
into = into + M_packed[cols*i + j]*rreord[scf][j];
# endif
}
}
# endif
#endif
}
};
template<typename mf_Policies,
template <typename> class lA2AfieldL, template <typename> class lA2AfieldR,
template <typename> class rA2AfieldL, template <typename> class rA2AfieldR>
class multiply_M_r_singlescf_op_grid: public SCFoperation<Grid::Vector<
#ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
typename mf_Policies::ScalarComplexType
#else
typename mf_Policies::ComplexType
#endif
> >{
typedef typename mf_Policies::ComplexType VectorComplexType;
#ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
typedef typename mf_Policies::ScalarComplexType MComplexType;
#else
typedef typename mf_Policies::ComplexType MComplexType;
#endif
const int* work;
const int* off;
std::vector< std::vector<Grid::Vector<VectorComplexType> > > &Mr;
std::vector< std::vector<Grid::Vector<VectorComplexType> > > &rreord;
mult_vMv_split_v<mf_Policies,lA2AfieldL,lA2AfieldR,rA2AfieldL,rA2AfieldR, grid_vector_complex_mark> const* split_obj;
public:
multiply_M_r_singlescf_op_grid(const int* _work, const int* _off, std::vector< std::vector<Grid::Vector<VectorComplexType> > > &_Mr, std::vector< std::vector<Grid::Vector<VectorComplexType> > > &_rreord,mult_vMv_split_v<mf_Policies,lA2AfieldL,lA2AfieldR,rA2AfieldL,rA2AfieldR, grid_vector_complex_mark> const* _split_obj): work(_work),off(_off),Mr(_Mr),rreord(_rreord),split_obj(_split_obj){}
void operator()(const Grid::Vector<MComplexType>& M_packed, const int scf, const int rows, const int cols){
#ifndef MEMTEST_MODE
#pragma omp parallel
{
int me = omp_get_thread_num();
split_obj->multiply_M_r_singlescf(Mr,rreord,M_packed,off[me], work[me],scf);
}
#endif
}
};
//For local outer contraction of meson field by two vectors we can save a lot of time by column reordering the meson field to improve cache use.
//Save even more time by doing this outside the site loop (it makes no reference to the 3d position, only the time at which the vectors
//are evaluated)
template<typename mf_Policies,
template <typename> class lA2AfieldL, template <typename> class lA2AfieldR,
template <typename> class rA2AfieldL, template <typename> class rA2AfieldR
>
class mult_vMv_split_v<mf_Policies, lA2AfieldL, lA2AfieldR, rA2AfieldL, rA2AfieldR, grid_vector_complex_mark>:
public mult_vMv_split_base<mf_Policies,lA2AfieldL,lA2AfieldR,rA2AfieldL,rA2AfieldR>{
typedef mult_vMv_split_base<mf_Policies,lA2AfieldL,lA2AfieldR,rA2AfieldL,rA2AfieldR> Base;
//Note:
//il is the index of l,
//ir is the row index of M,
//jl is the column index of M and
//jr is the index of r
typedef typename mf_Policies::ScalarComplexType ScalarComplexType;
typedef typename mf_Policies::ComplexType VectorComplexType;
#ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
typedef typename mf_Policies::ScalarComplexType MComplexType;
#else
typedef typename mf_Policies::ComplexType MComplexType;
#endif
typedef typename Base::iLeftDilutionType iLeftDilutionType;
typedef typename Base::iRightDilutionType iRightDilutionType;
typedef typename Base::jLeftDilutionType jLeftDilutionType;
typedef typename Base::jRightDilutionType jRightDilutionType;
const static int nscf = 2*3*4;
//Packed matrices
#ifdef VMV_SPLIT_GRID_MEM_SAVE
Grid::Vector<MComplexType> mf_reord_lo_lo; //shared nl*nl submatrix
Grid::Vector<MComplexType> mf_reord_lo_hi[nscf]; //the nl * nh[scf] submatrix
Grid::Vector<MComplexType> mf_reord_hi_lo[nscf]; //the nh[scf] * nl submatrix
Grid::Vector<MComplexType> mf_reord_hi_hi[nscf]; //the nh[scf] * nh[scf] submatrix
#else
std::vector<Grid::Vector<MComplexType> > mf_reord; //vector of linearized matrices in packed format where only the rows used are stored. One matrix for each spin/color/flavor combination of the vector r
#endif
std::vector<int> i_packed_unmap_all[nscf];
int logical_sites_3d;
bool setup_called;
template<typename ,
template <typename> class, template <typename> class,
template <typename> class, template <typename> class>
friend class multiply_M_r_singlescf_op_grid;
void constructPackedMloopSCF(SCFoperation<Grid::Vector<MComplexType> > &op) const{
#ifdef VMV_SPLIT_GRID_MEM_SAVE
int nl_row = this->Mptr->getRowParams().getNl();
int nl_col = this->Mptr->getColParams().getNl();
int nj_max = 0;
bool nj_all_same = true;
for(int scf=0;scf<nscf;scf++){
if(this->nj[scf] > nj_max) nj_max = this->nj[scf];
if(this->nj[scf] != this->nj[0]) nj_all_same = false;
}
Grid::Vector<MComplexType> M_packed(this->nrows_used * nj_max); //linearized matrix j + nj_max*i. Acts as buffer. Contains enough space for largest nj
if(nj_all_same) pokeSubmatrix<MComplexType>( M_packed.data(),mf_reord_lo_lo.data(), this->nrows_used, nj_max, 0, 0, nl_row, nl_col);
#endif
//M * r
for(int scf=0;scf<nscf;scf++){
int nj_this = this->nj[scf]; //vector size
#ifdef VMV_SPLIT_GRID_MEM_SAVE
int nh_row = this->nrows_used - nl_row;
int nh_col = nj_this - nl_col;
if(!nj_all_same) pokeSubmatrix<MComplexType>(M_packed.data(), mf_reord_lo_lo.data(), this->nrows_used, nj_this, 0, 0, nl_row, nl_col);
pokeSubmatrix<MComplexType>(M_packed.data(), mf_reord_lo_hi[scf].data(), this->nrows_used, nj_this, 0, nl_col, nl_row, nh_col);
pokeSubmatrix<MComplexType>(M_packed.data(), mf_reord_hi_lo[scf].data(), this->nrows_used, nj_this, nl_row, 0, nh_row, nl_col);
pokeSubmatrix<MComplexType>(M_packed.data(), mf_reord_hi_hi[scf].data(), this->nrows_used, nj_this, nl_row, nl_col, nh_row, nh_col);
#else
const Grid::Vector<MComplexType>& M_packed = mf_reord[scf]; //scope for reuse here
#endif
op(M_packed, scf, this->nrows_used, nj_this);
}
}
//off is the 3d site offset for the start of the internal site loop, and work is the number of sites to iterate over
//Mr is part of an array of length nsites. For each site there are nscf=24 vectors of the appropriate number of modes
void multiply_M_r(std::vector<Grid::Vector<VectorComplexType> > &Mr, const std::vector<Grid::Vector<VectorComplexType> >& rreord) const{
multiply_M_r_op_grid<mf_Policies> op(Mr, rreord, this->i_packed_unmap_all);
constructPackedMloopSCF(op);
}
//off is the 3d site offset for the start of the internal site loop, and work is the number of sites to iterate over
//M_packed is the Mesonfield in packed format.
void multiply_M_r_singlescf(std::vector<std::vector<Grid::Vector<VectorComplexType> > >& Mr, const std::vector<std::vector<Grid::Vector<VectorComplexType> > >& rreord,
const Grid::Vector<MComplexType>& M_packed,
const int off, const int work, const int scf) const{
//M * r
int nj_this = this->nj[scf]; //vector size
const std::vector<int> &i_packed_unmap = i_packed_unmap_all[scf];
int rows = this->nrows_used;
int cols = nj_this;
#ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
VectorComplexType tmp;
#endif
#ifdef VMV_BLOCKED_MATRIX_MULT
int block_width_max = cols;
int block_height_max = 8; //4;
for(int i0=0; i0<rows; i0+=block_height_max){
int iblock_size = std::min(rows - i0, block_height_max);
for(int j0=0; j0<cols; j0+=block_width_max){
int jblock_size = std::min(cols - j0, block_width_max);
for(int s=off;s<off+work;s++){
VectorComplexType const* base = &rreord[s][scf][j0];
# ifndef MEMTEST_MODE
for(int i_packed=0;i_packed < iblock_size; i_packed++){
VectorComplexType &into = Mr[s][scf][ i_packed_unmap[i0+i_packed] ];
zeroit(into);
for(int j_packed=0;j_packed<jblock_size;j_packed++){
# ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
vsplat(tmp, M_packed[cols*(i0+i_packed)+j0+j_packed]);
into = into + tmp*base[j_packed];
# else
into = into + M_packed[cols*(i0+i_packed)+j0+j_packed]*base[j_packed];
# endif
}
}
# endif
}
}
}
#else
for(int i=0;i<rows;i++){
int i_full = i_packed_unmap[i];
for(int s=off;s<off+work;s++){
# ifndef MEMTEST_MODE
VectorComplexType &into = Mr[s][scf][i_full];
zeroit(into);
for(int j=0;j<cols;j++){
# ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
vsplat(tmp,M_packed[cols*i+j]);
into = into + tmp * rreord[s][scf][j];
# else
into = into + M_packed[cols*i+j] * rreord[s][scf][j];
# endif
}
# endif
}
}
#endif
}
void site_multiply_l_Mr(CPSspinColorFlavorMatrix<VectorComplexType> &out,
const std::vector<Grid::Vector<VectorComplexType> > &lreord,
const std::vector<Grid::Vector<VectorComplexType> > &Mr) const{
//Vector vector multiplication l*(M*r)
for(int sl=0;sl<4;sl++){
for(int sr=0;sr<4;sr++){
for(int cl=0;cl<3;cl++){
for(int cr=0;cr<3;cr++){
for(int fl=0;fl<2;fl++){
int scfl = fl + 2*(cl + 3*sl);
int ni_this = this->ni[scfl];
Grid::Vector<VectorComplexType> const& lbase = lreord[scfl];
const std::vector<std::pair<int,int> > &blocks = this->blocks_scf[scfl];
for(int fr=0;fr<2;fr++){
int scfr = fr + 2*(cr + 3*sr);
VectorComplexType &into = out(sl,sr)(cl,cr)(fl,fr);
zeroit(into);
VectorComplexType const* Mr_base = &Mr[scfr][0];
int loff = 0;
for(int b=0;b<blocks.size();b++){
VectorComplexType const* Mr_block_ptr = Mr_base + this->irmap[scfl][blocks[b].first]; //Mr is not packed, lreord is. Cycle over blocks of consecutive elements
#ifndef MEMTEST_MODE
for(int i=0;i<blocks[b].second;i++)
into = into + lbase[loff++] * Mr_block_ptr[i];
#endif
}
}
}
}
}
}
}
}
public:
mult_vMv_split_v(): setup_called(false){
}
void free_mem(){
this->free_mem_base();
}
//This should be called outside the site loop (and outside any parallel region)
//top_glb is the time in global lattice coordinates.
void setup(const lA2AfieldL<mf_Policies> &l, const A2AmesonField<mf_Policies,lA2AfieldR,rA2AfieldL> &M, const rA2AfieldR<mf_Policies> &r, const int &_top_glb){
//Precompute index mappings
ModeContractionIndices<iLeftDilutionType,iRightDilutionType> i_ind(l);
ModeContractionIndices<jLeftDilutionType,jRightDilutionType> j_ind(r);
setup(l,M,r,_top_glb,i_ind,j_ind);
}
void setup(const lA2AfieldL<mf_Policies> &l, const A2AmesonField<mf_Policies,lA2AfieldR,rA2AfieldL> &M, const rA2AfieldR<mf_Policies> &r, const int &_top_glb,
const ModeContractionIndices<iLeftDilutionType,iRightDilutionType> &i_ind, const ModeContractionIndices<jLeftDilutionType,jRightDilutionType>& j_ind){
this->setup_base(l,M,r,_top_glb,i_ind,j_ind);
logical_sites_3d = l.getMode(0).nodeSites(0)*l.getMode(0).nodeSites(1)*l.getMode(0).nodeSites(2);
#ifndef VMV_SPLIT_GRID_MEM_SAVE
mf_reord.resize(nscf);
#endif
//Not all rows or columns of M are used, so lets use a packed matrix
#ifdef VMV_SPLIT_GRID_MEM_SAVE
Grid::Vector<MComplexType> mf_reord_scf;
#endif
for(int scf=0;scf<nscf;scf++){
int nj_this = this->nj[scf];
std::vector<int> &jlmap_this = this->jlmap[scf];
#ifndef VMV_SPLIT_GRID_MEM_SAVE
Grid::Vector<MComplexType> &mf_reord_scf = mf_reord[scf];
#endif
#ifdef VMV_SPLIT_GRID_STREAMING_SPLAT
M.scalarPackedColReorder(mf_reord_scf, jlmap_this.data(), nj_this, this->rowidx_used);
#else
M.splatPackedColReorder(mf_reord_scf, jlmap_this.data(), nj_this, this->rowidx_used);
#endif
#ifdef VMV_SPLIT_GRID_MEM_SAVE
int nl_row = M.getRowParams().getNl();
int nl_col = M.getColParams().getNl();
int nh_row = this->nrows_used - nl_row;
int nh_col = nj_this - nl_col;
if(scf == 0){
mf_reord_lo_lo.resize(nl_row*nl_col);
getSubmatrix<MComplexType >(mf_reord_lo_lo.data(), mf_reord_scf.data(), this->nrows_used, nj_this, 0, 0, nl_row, nl_col);
}
mf_reord_lo_hi[scf].resize(nl_row*nh_col);
getSubmatrix<MComplexType >(mf_reord_lo_hi[scf].data(), mf_reord_scf.data(), this->nrows_used, nj_this, 0, nl_col, nl_row, nh_col);
mf_reord_hi_lo[scf].resize(nh_row*nl_col);
getSubmatrix<MComplexType >(mf_reord_hi_lo[scf].data(), mf_reord_scf.data(), this->nrows_used, nj_this, nl_row, 0, nh_row, nl_col);
mf_reord_hi_hi[scf].resize(nh_row*nh_col);
getSubmatrix<MComplexType >(mf_reord_hi_hi[scf].data(), mf_reord_scf.data(), this->nrows_used, nj_this, nl_row, nl_col, nh_row, nh_col);
#endif
//Store the map between packed and full indices
int i_packed = 0;
i_packed_unmap_all[scf].resize(this->nrows_used);
for(int i_full=0;i_full<this->Mrows;i_full++)
if(this->rowidx_used[i_full]) i_packed_unmap_all[scf][i_packed++] = i_full;
}
setup_called = true;
}
public:
//Contract on all 3d sites on this node with fixed operator time coord top_glb into a canonically ordered output vector
void contract(Grid::Vector<CPSspinColorFlavorMatrix<VectorComplexType> > &out, const bool conj_l, const bool conj_r) const{
int top = this->top_glb - GJP.TnodeSites()*GJP.TnodeCoor();
assert(top >= 0 && top < GJP.TnodeSites()); //make sure you use this method on the appropriate node!
int sites_3d = logical_sites_3d;
out.resize(sites_3d);
std::vector< std::vector<Grid::Vector<VectorComplexType> > > lreord(sites_3d); //[3d site][scf][reordered mode]
std::vector< std::vector<Grid::Vector<VectorComplexType> > > rreord(sites_3d);
std::vector< std::vector<Grid::Vector<VectorComplexType> > > Mr(sites_3d); //[3d site][scf][M row]
//Run everything in parallel environment to avoid thread creation overheads
int work[omp_get_max_threads()], off[omp_get_max_threads()];
#pragma omp parallel
{
int me = omp_get_thread_num();
int team = omp_get_num_threads();
//Reorder rows and columns of left and right fields such that they can be accessed sequentially
thread_work(work[me], off[me], sites_3d, me, team);
for(int s=off[me];s<off[me]+work[me];s++){
int site4dop = s + sites_3d*top;
site_reorder_lr(lreord[s],rreord[s],conj_l,conj_r,site4dop);
}
for(int s=off[me];s<off[me]+work[me];s++){
Mr[s].resize(nscf);
for(int scf=0;scf<nscf;scf++){
Mr[s][scf].resize(this->Mrows);
for(int i=0;i<this->Mrows;i++)
zeroit(Mr[s][scf][i]);
}
}
}
multiply_M_r_singlescf_op_grid<mf_Policies,lA2AfieldL,lA2AfieldR,rA2AfieldL,rA2AfieldR> op(work,off,Mr,rreord,this);
constructPackedMloopSCF(op);
#pragma omp parallel
{
int me = omp_get_thread_num();
//Vector vector multiplication l*(M*r)
for(int x3d=off[me];x3d<off[me]+work[me];x3d++)
site_multiply_l_Mr(out[x3d], lreord[x3d], Mr[x3d]);
} //end of parallel region
}//end of method
//Run inside a threaded/parallelized loop over 3d sites. xop is a 3d coordinate!
void contract(CPSspinColorFlavorMatrix<VectorComplexType> &out, const int &xop, const bool &conj_l, const bool &conj_r) const{
int top = this->top_glb - GJP.TnodeSites()*GJP.TnodeCoor();
assert(top >= 0 && top < GJP.TnodeSites()); //make sure you use this method on the appropriate node!
std::vector<Grid::Vector<VectorComplexType > > lreord; //[scf][reordered mode]
std::vector<Grid::Vector<VectorComplexType > > rreord;
std::vector<Grid::Vector<VectorComplexType > > Mr(nscf); //[scf][M row]
for(int scf=0;scf<nscf;scf++){
Mr[scf].resize(this->Mrows);
for(int i=0;i<this->Mrows;i++)
zeroit(Mr[scf][i]);
}
int sites_3d = logical_sites_3d;
int site4dop = xop + sites_3d*top;
this->site_reorder_lr(lreord,rreord,conj_l,conj_r,site4dop);
//M * r
multiply_M_r(Mr,rreord);
//Vector vector multiplication l*(M*r)
site_multiply_l_Mr(out, lreord, Mr);
}
};
#endif
#endif
|
omp-thrdprvt.c | #include <stdio.h>
int x, y;
#pragma omp threadprivate(x,y)
int main() {
#pragma omp parallel
{
x = omp_get_thread_num();
}
#pragma omp parallel
{
if(x % 2 == 0)
y = x + 1;
else
y = 0;
}
#pragma omp parallel
{
printf("%d, %d %d\n", x, y, omp_get_thread_num());
}
#pragma omp parallel
{
printf("%d, %d %d\n", x, y, omp_get_thread_num());
}
}
|
MathTools.h | /**
*
* \copyright
* Copyright (c) 2012-2016, OpenGeoSys Community (http://www.opengeosys.org)
* Distributed under a Modified BSD License.
* See accompanying file LICENSE.txt or
* http://www.opengeosys.org/project/license
*
*/
#ifndef MATHTOOLS_H_
#define MATHTOOLS_H_
#include <cstddef>
#ifdef _OPENMP
#include <omp.h>
#endif
namespace MathLib
{
/**
* standard inner product in R^N
* \param v0 array of type T representing the vector
* \param v1 array of type T representing the vector
* */
template<typename T, int N> inline
T scalarProduct(T const * const v0, T const * const v1)
{
T res (v0[0] * v1[0]);
#ifdef _OPENMP
OPENMP_LOOP_TYPE k;
#pragma omp parallel for reduction (+:res)
for (k = 1; k<N; k++) {
res += v0[k] * v1[k];
}
#else
for (std::size_t k(1); k < N; k++)
res += v0[k] * v1[k];
#endif
return res;
}
template <> inline
double scalarProduct<double,3>(double const * const v0, double const * const v1)
{
double res (v0[0] * v1[0]);
for (std::size_t k(1); k < 3; k++)
res += v0[k] * v1[k];
return res;
}
template<typename T> inline
T scalarProduct(T const * const v0, T const * const v1, unsigned n)
{
T res (v0[0] * v1[0]);
#ifdef _OPENMP
OPENMP_LOOP_TYPE k;
#pragma omp parallel for reduction (+:res)
#ifdef WIN32
#pragma warning ( push )
#pragma warning ( disable: 4018 )
#endif
for (k = 1; k<n; k++) {
res += v0[k] * v1[k];
}
#ifdef WIN32
#pragma warning ( pop )
#endif
#else
for (std::size_t k(1); k < n; k++)
res += v0[k] * v1[k];
#endif
return res;
}
/**
* calcProjPntToLineAndDists computes the orthogonal projection
* of a point p to the line described by the points a and b,
* \f$g(\lambda) = a + \lambda (b - a)\f$,
* the distance between p and the projected point
* and the distances between the projected point and the end
* points a, b of the line
* \param p the (mesh) point
* \param a first point of line
* \param b second point of line
* \param lambda the projected point described by the line equation above
* \param d0 distance to the line point a
* \returns the distance between p and the orthogonal projection of p
*/
double calcProjPntToLineAndDists(const double p[3], const double a[3],
const double b[3], double &lambda, double &d0);
/** squared dist between double arrays p0 and p1 (size of arrays is 3) */
inline
double sqrDist(const double* p0, const double* p1)
{
const double v[3] = {p1[0] - p0[0], p1[1] - p0[1], p1[2] - p0[2]};
return scalarProduct<double,3>(v,v);
}
/**
* Let \f$p_0, p_1, p_2 \in R^3\f$. The function getAngle
* computes the angle between the edges \f$(p_0,p_1)\f$ and \f$(p_1,p_2)\f$
* @param p0 start point of edge 0
* @param p1 end point of edge 0 and start point of edge 1
* @param p2 end point of edge 1
* @return the angle between the edges
*/
double getAngle (const double p0[3], const double p1[3], const double p2[3]);
} // namespace
#endif /* MATHTOOLS_H_ */
|
GB_unop__identity_uint8_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 GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_uint8_int32)
// op(A') function: GB (_unop_tran__identity_uint8_int32)
// C type: uint8_t
// A type: int32_t
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
uint8_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) \
uint8_t z = (uint8_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint8_t z = (uint8_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_UINT8 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_uint8_int32)
(
uint8_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] ;
uint8_t z = (uint8_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] ;
uint8_t z = (uint8_t) aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_uint8_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
|
mandel.c | /*
** PROGRAM: Mandelbrot area
**
** PURPOSE: Program to compute the area of a Mandelbrot set.
** Correct answer should be around 1.510659.
** WARNING: this program may contain errors
**
** USAGE: Program runs without input ... just run the executable
**
** HISTORY: Written: (Mark Bull, August 2011).
** Changed "comples" to "d_complex" to avoid collsion with
** math.h complex type (Tim Mattson, September 2011)
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <omp.h>
# define NPOINTS 1000
# define MAXITER 1000
void testpoint(void);
struct d_complex{
double r;
double i;
};
struct d_complex c;
int numoutside = 0;
int main(){
int i, j;
double area, error, eps = 1.0e-5;
// Loop over grid of points in the complex plane which contains the Mandelbrot set,
// testing each point to see whether it is inside or outside the set.
#pragma omp parallel for default(shared) private(c,eps)
for (i=0; i<NPOINTS; i++) {
for (j=0; j<NPOINTS; j++) {
c.r = -2.0+2.5*(double)(i)/(double)(NPOINTS)+eps;
c.i = 1.125*(double)(j)/(double)(NPOINTS)+eps;
testpoint();
}
}
// Calculate area of set and error estimate and output the results
area=2.0*2.5*1.125*(double)(NPOINTS*NPOINTS-numoutside)/(double)(NPOINTS*NPOINTS);
error=area/(double)NPOINTS;
printf("Area of Mandlebrot set = %12.8f +/- %12.8f\n",area,error);
printf("Correct answer should be around 1.510659\n");
}
void testpoint(void){
// Does the iteration z=z*z+c, until |z| > 2 when point is known to be outside set
// If loop count reaches MAXITER, point is considered to be inside the set
struct d_complex z;
int iter;
double temp;
z=c;
for (iter=0; iter<MAXITER; iter++){
temp = (z.r*z.r)-(z.i*z.i)+c.r;
z.i = z.r*z.i*2+c.i;
z.r = temp;
if ((z.r*z.r+z.i*z.i)>4.0) {
numoutside++;
break;
}
}
}
|
mdpush2.c | /* C Library for Skeleton 2-1/2D Darwin OpenMP PIC Code */
/* written by Viktor K. Decyk, UCLA */
#include <stdlib.h>
#include <stdio.h>
#include <complex.h>
#include <math.h>
#include "mdpush2.h"
/*--------------------------------------------------------------------*/
double ranorm() {
/* this program calculates a random number y from a gaussian distribution
with zero mean and unit variance, according to the method of
mueller and box:
y(k) = (-2*ln(x(k)))**1/2*sin(2*pi*x(k+1))
y(k+1) = (-2*ln(x(k)))**1/2*cos(2*pi*x(k+1)),
where x is a random number uniformly distributed on (0,1).
written for the ibm by viktor k. decyk, ucla
local data */
static int r1 = 885098780, r2 = 1824280461;
static int r4 = 1396483093, r5 = 55318673;
static int iflg = 0;
static double h1l = 65531.0, h1u = 32767.0, h2l = 65525.0;
static double r0 = 0.0;
int isc, i1;
double ranorm, r3, asc, bsc, temp;
if (iflg==1) {
ranorm = r0;
r0 = 0.0;
iflg = 0;
return ranorm;
}
isc = 65536;
asc = (double) isc;
bsc = asc*asc;
i1 = r1 - (r1/isc)*isc;
r3 = h1l*(double) r1 + asc*h1u*(double) i1;
i1 = r3/bsc;
r3 -= ((double) i1)*bsc;
bsc = 0.5*bsc;
i1 = r2/isc;
isc = r2 - i1*isc;
r0 = h1l*(double) r2 + asc*h1u*(double) isc;
asc = 1.0/bsc;
isc = r0*asc;
r2 = r0 - ((double) isc)*bsc;
r3 += (double) isc + 2.0*h1u*(double) i1;
isc = r3*asc;
r1 = r3 - ((double) isc)*bsc;
temp = sqrt(-2.0*log((((double) r1) + ((double) r2)*asc)*asc));
isc = 65536;
asc = (double) isc;
bsc = asc*asc;
i1 = r4 - (r4/isc)*isc;
r3 = h2l*(double) r4 + asc*h1u*(double) i1;
i1 = r3/bsc;
r3 -= ((double) i1)*bsc;
bsc = 0.5*bsc;
i1 = r5/isc;
isc = r5 - i1*isc;
r0 = h2l*(double) r5 + asc*h1u*(double) isc;
asc = 1.0/bsc;
isc = r0*asc;
r5 = r0 - ((double) isc)*bsc;
r3 += (double) isc + 2.0*h1u*(double) i1;
isc = r3*asc;
r4 = r3 - ((double) isc)*bsc;
r0 = 6.28318530717959*((((double) r4) + ((double) r5)*asc)*asc);
ranorm = temp*sin(r0);
r0 = temp*cos(r0);
iflg = 1;
return ranorm;
}
/*--------------------------------------------------------------------*/
void cdistr2h(float part[], float vtx, float vty, float vtz, float vdx,
float vdy, float vdz, int npx, int npy, int idimp, int nop,
int nx, int ny, int ipbc) {
/* for 2-1/2d code, this subroutine calculates initial particle
co-ordinates and velocities with uniform density and maxwellian
velocity with drift
part[n][0] = position x of particle n
part[n][1] = position y of particle n
part[n][2] = velocity vx of particle n
part[n][3] = velocity vy of particle n
part[n][4] = velocity vz of particle n
vtx/vty/vtz = thermal velocity of electrons in x/y/z direction
vdx/vdy/vdz = drift velocity of beam electrons in x/y/z direction
npx/npy = initial number of particles distributed in x/y direction
idimp = size of phase space = 5
nop = number of particles
nx/ny = system length in x/y direction
ipbc = particle boundary condition = (0,1,2,3) =
(none,2d periodic,2d reflecting,mixed reflecting/periodic)
ranorm = gaussian random number with zero mean and unit variance
local data */
int j, k, k1, npxy;
float edgelx, edgely, at1, at2, at3, sum1, sum2, sum3;
double dsum1, dsum2, dsum3;
npxy = npx*npy;
/* set boundary values */
edgelx = 0.0;
edgely = 0.0;
at1 = (float) nx/(float) npx;
at2 = (float) ny/(float) npy;
if (ipbc==2) {
edgelx = 1.0;
edgely = 1.0;
at1 = (float) (nx-2)/(float) npx;
at2 = (float) (ny-2)/(float) npy;
}
else if (ipbc==3) {
edgelx = 1.0;
edgely = 0.0;
at1 = (float) (nx-2)/(float) npx;
at2 = (float) ny/(float) npy;
}
/* uniform density profile */
for (k = 0; k < npy; k++) {
k1 = idimp*npx*k;
at3 = edgely + at2*(((float) k) + 0.5);
for (j = 0; j < npx; j++) {
part[idimp*j+k1] = edgelx + at1*(((float) j) + 0.5);
part[1+idimp*j+k1] = at3;
}
}
/* maxwellian velocity distribution */
for (j = 0; j < npxy; j++) {
part[2+idimp*j] = vtx*ranorm();
part[3+idimp*j] = vty*ranorm();
part[4+idimp*j] = vtz*ranorm();
}
/* add correct drift */
dsum1 = 0.0;
dsum2 = 0.0;
dsum3 = 0.0;
for (j = 0; j < npxy; j++) {
dsum1 += part[2+idimp*j];
dsum2 += part[3+idimp*j];
dsum3 += part[4+idimp*j];
}
sum1 = dsum1;
sum2 = dsum2;
sum3 = dsum3;
at1 = 1.0/(float) npxy;
sum1 = at1*sum1 - vdx;
sum2 = at1*sum2 - vdy;
sum3 = at1*sum3 - vdz;
for (j = 0; j < npxy; j++) {
part[2+idimp*j] -= sum1;
part[3+idimp*j] -= sum2;
part[4+idimp*j] -= sum3;
}
return;
}
/*--------------------------------------------------------------------*/
void cdblkp2l(float part[], int kpic[], int *nppmx, int idimp, int nop,
int mx, int my, int mx1, int mxy1, int *irc) {
/* this subroutine finds the maximum number of particles in each tile of
mx, my to calculate size of segmented particle array ppart
linear interpolation
input: all except kpic, nppmx, irc, output: kpic, nppmx, irc
part = input particle array
part[n][0] = position x of particle n
part[n][1] = position y of particle n
kpic = output number of particles per tile
nppmx = return maximum number of particles in tile
idimp = size of phase space = 4
nop = number of particles
mx/my = number of grids in sorting cell in x and y
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
irc = maximum overflow, returned only if error occurs, when irc > 0
local data */
int j, k, n, m, isum, ist, npx, ierr;
ierr = 0;
/* clear counter array */
for (k = 0; k < mxy1; k++) {
kpic[k] = 0;
}
/* find how many particles in each tile */
for (j = 0; j < nop; j++) {
n = part[idimp*j];
m = part[1+idimp*j];
n = n/mx;
m = m/my;
m = n + mx1*m;
if (m < mxy1) {
kpic[m] += 1;
}
else {
ierr = ierr > (m - mxy1 + 1) ? ierr : (m - mxy1 + 1);
}
}
/* find maximum */
isum = 0;
npx = 0;
for (k = 0; k < mxy1; k++) {
ist = kpic[k];
npx = npx > ist ? npx : ist;
isum += ist;
}
*nppmx = npx;
/* check for errors */
if (ierr > 0) {
*irc = ierr;
}
else if (isum != nop) {
*irc = -1;
}
return;
}
/*--------------------------------------------------------------------*/
void cppmovin2l(float part[], float ppart[], int kpic[], int nppmx,
int idimp, int nop, int mx, int my, int mx1, int mxy1,
int *irc) {
/* this subroutine sorts particles by x,y grid in tiles of mx, my
and copies to segmented array ppart
linear interpolation
input: all except ppart, kpic, output: ppart, kpic
part/ppart = input/output particle arrays
part[n][0] = position x of particle n in partition
part[n][1] = position y of particle n in partition
ppart[m][n][0] = position x of particle n in tile m
ppart[m][n][1] = position y of particle n in tile m
ppart[m][n][2] = velocity vx of particle n in tile m
ppart[m][n][3] = velocity vy of particle n in tile m
kpic = output number of particles per tile
nppmx = maximum number of particles in tile
idimp = size of phase space = 4
nop = number of particles
mx/my = number of grids in sorting cell in x and y
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
irc = maximum overflow, returned only if error occurs, when irc > 0
local data */
int i, j, k, n, m, ip, ierr;
ierr = 0;
/* clear counter array */
for (k = 0; k < mxy1; k++) {
kpic[k] = 0;
}
/* find addresses of particles at each tile and reorder particles */
for (j = 0; j < nop; j++) {
n = part[idimp*j];
m = part[1+idimp*j];
n = n/mx;
m = m/my;
m = n + mx1*m;
ip = kpic[m];
if (ip < nppmx) {
for (i = 0; i < idimp; i++) {
ppart[i+idimp*(ip+nppmx*m)] = part[i+idimp*j];
}
}
else {
ierr = ierr > ip-nppmx+1 ? ierr : ip-nppmx+1;
}
kpic[m] = ip + 1;
}
if (ierr > 0)
*irc = ierr;
return;
}
/*--------------------------------------------------------------------*/
void cppcheck2l(float ppart[], int kpic[], int idimp, int nppmx, int nx,
int ny, int mx, int my, int mx1, int my1,
int *irc) {
/* this subroutine performs a sanity check to make sure particles sorted
by x,y grid in tiles of mx, my, are all within bounds.
tiles are assumed to be arranged in 2D linear memory
input: all except irc
output: irc
ppart[k][n][0] = position x of particle n in tile k
ppart[k][n][1] = position y of particle n in tile k
kpic[k] = number of reordered output particles in tile k
idimp = size of phase space = 4
nppmx = maximum number of particles in tile
nx/ny = system length in x/y direction
mx/my = number of grids in sorting cell in x/y
mx1 = (system length in x direction - 1)/mx + 1
my1 = (system length in y direction - 1)/my + 1
irc = particle error, returned only if error occurs, when irc > 0
local data */
int mxy1, noff, moff, npp, j, k, ist, nn, mm;
float edgelx, edgely, edgerx, edgery, dx, dy;
mxy1 = mx1*my1;
/* loop over tiles */
#pragma omp parallel for \
private(j,k,noff,moff,npp,nn,mm,ist,edgelx,edgely,edgerx,edgery,dx,dy)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
nn = nx - noff;
nn = mx < nn ? mx : nn;
mm = ny - moff;
mm = my < mm ? my : mm;
edgelx = noff;
edgerx = noff + nn;
edgely = moff;
edgery = moff + mm;
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
dx = ppart[idimp*(j+nppmx*k)];
dy = ppart[1+idimp*(j+nppmx*k)];
/* find particles going out of bounds */
ist = 0;
if (dx < edgelx)
ist = 1;
if (dx >= edgerx)
ist = 2;
if (dy < edgely)
ist += 3;
if (dy >= edgery)
ist += 6;
if (ist > 0)
*irc = k + 1;
}
}
return;
}
/*--------------------------------------------------------------------*/
void cgbppush23l(float ppart[], float fxy[], float bxy[], int kpic[],
float qbm, float dt, float dtc, float *ek, int idimp,
int nppmx, int nx, int ny, int mx, int my, int nxv,
int nyv, int mx1, int mxy1, int ipbc) {
/* for 2-1/2d code, this subroutine updates particle co-ordinates and
velocities using leap-frog scheme in time and first-order linear
interpolation in space, with magnetic field. Using the Boris Mover.
OpenMP version using guard cells
data deposited in tiles
particles stored segmented array
119 flops/particle, 1 divide, 29 loads, 5 stores
input: all, output: ppart, ek
velocity equations used are:
vx(t+dt/2) = rot(1)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(2)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(3)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fx(x(t),y(t))*dt)
vy(t+dt/2) = rot(4)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(5)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(6)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fy(x(t),y(t))*dt)
vz(t+dt/2) = rot(7)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(8)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(9)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fz(x(t),y(t))*dt)
where q/m is charge/mass, and the rotation matrix is given by:
rot[0] = (1 - (om*dt/2)**2 + 2*(omx*dt/2)**2)/(1 + (om*dt/2)**2)
rot[1] = 2*(omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[2] = 2*(-omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[3] = 2*(-omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[4] = (1 - (om*dt/2)**2 + 2*(omy*dt/2)**2)/(1 + (om*dt/2)**2)
rot[5] = 2*(omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[6] = 2*(omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[7] = 2*(-omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[8] = (1 - (om*dt/2)**2 + 2*(omz*dt/2)**2)/(1 + (om*dt/2)**2)
and om**2 = omx**2 + omy**2 + omz**2
the rotation matrix is determined by:
omx = (q/m)*bx(x(t),y(t)), omy = (q/m)*by(x(t),y(t)), and
omz = (q/m)*bz(x(t),y(t)).
position equations used are:
x(t+dt)=x(t) + vx(t+dt/2)*dt
y(t+dt)=y(t) + vy(t+dt/2)*dt
fx(x(t),y(t)), fy(x(t),y(t)), and fz(x(t),y(t))
bx(x(t),y(t)), by(x(t),y(t)), and bz(x(t),y(t))
are approximated by interpolation from the nearest grid points:
fx(x,y) = (1-dy)*((1-dx)*fx(n,m)+dx*fx(n+1,m)) + dy*((1-dx)*fx(n,m+1)
+ dx*fx(n+1,m+1))
where n,m = leftmost grid points and dx = x-n, dy = y-m
similarly for fy(x,y), fz(x,y), bx(x,y), by(x,y), bz(x,y)
ppart[m][n][0] = position x of particle n in tile m
ppart[m][n][1] = position y of particle n in tile m
ppart[m][n][2] = x velocity of particle n in tile m
ppart[m][n][3] = y velocity of particle n in tile m
ppart[m][n][4] = z velocity of particle n in tile m
fxy[k][j][0] = x component of force/charge at grid (j,k)
fxy[k][j][1] = y component of force/charge at grid (j,k)
fxy[k][j][2] = z component of force/charge at grid (j,k)
that is, convolution of electric field over particle shape
bxy[k][j][0] = x component of magnetic field at grid (j,k)
bxy[k][j][1] = y component of magnetic field at grid (j,k)
bxy[k][j][2] = z component of magnetic field at grid (j,k)
that is, the convolution of magnetic field over particle shape
kpic = number of particles per tile
qbm = particle charge/mass ratio
dt = time interval between successive calculations
dtc = time interval between successive co-ordinate calculations
kinetic energy/mass at time t is also calculated, using
ek = .5*sum((vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt)**2 +
(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt)**2 +
(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt)**2)
idimp = size of phase space = 5
nppmx = maximum number of particles in tile
nx/ny = system length in x/y direction
mx/my = number of grids in sorting cell in x/y
nxv = second dimension of field arrays, must be >= nx+1
nyv = third dimension of field arrays, must be >= ny+1
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
ipbc = particle boundary condition = (0,1,2,3) =
(none,2d periodic,2d reflecting,mixed reflecting/periodic)
local data */
#define MXV 33
#define MYV 33
int noff, moff, npoff, npp, mxv3;
int i, j, k, nn, mm, nm;
float qtmh, edgelx, edgely, edgerx, edgery, dxp, dyp, amx, amy;
float dx, dy, dz, ox, oy, oz, acx, acy, acz, omxt, omyt, omzt, omt;
float anorm, rot1, rot2, rot3, rot4, rot5, rot6, rot7, rot8, rot9;
float x, y;
float sfxy[3*MXV*MYV], sbxy[3*MXV*MYV];
/* float sfxy[3*(mx+1)*(my+1)], sbxy[3*(mx+1)*(my+1)]; */
double sum1, sum2;
mxv3 = 3*(mx + 1);
qtmh = 0.5*qbm*dt;
sum2 = 0.0;
/* set boundary values */
edgelx = 0.0;
edgely = 0.0;
edgerx = (float) nx;
edgery = (float) ny;
if (ipbc==2) {
edgelx = 1.0;
edgely = 1.0;
edgerx = (float) (nx-1);
edgery = (float) (ny-1);
}
else if (ipbc==3) {
edgelx = 1.0;
edgerx = (float) (nx-1);
}
/* error if local array is too small */
/* if ((mx >= MXV) || (my >= MYV)) */
/* return; */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,noff,moff,npp,npoff,nn,mm,nm,x,y,dxp,dyp,amx,amy,dx,dy, \
dz,ox,oy,oz,acx,acy,acz,omxt,omyt,omzt,omt,anorm,rot1,rot2,rot3,rot4, \
rot5,rot6,rot7,rot8,rot9,sum1,sfxy,sbxy) \
reduction(+:sum2)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
npoff = nppmx*k;
/* load local fields from global array */
nn = (mx < nx-noff ? mx : nx-noff) + 1;
mm = (my < ny-moff ? my : ny-moff) + 1;
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sfxy[3*i+mxv3*j] = fxy[3*(i+noff+nxv*(j+moff))];
sfxy[1+3*i+mxv3*j] = fxy[1+3*(i+noff+nxv*(j+moff))];
sfxy[2+3*i+mxv3*j] = fxy[2+3*(i+noff+nxv*(j+moff))];
}
}
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sbxy[3*i+mxv3*j] = bxy[3*(i+noff+nxv*(j+moff))];
sbxy[1+3*i+mxv3*j] = bxy[1+3*(i+noff+nxv*(j+moff))];
sbxy[2+3*i+mxv3*j] = bxy[2+3*(i+noff+nxv*(j+moff))];
}
}
sum1 = 0.0;
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
/* find interpolation weights */
x = ppart[idimp*(j+npoff)];
y = ppart[1+idimp*(j+npoff)];
nn = x;
mm = y;
dxp = x - (float) nn;
dyp = y - (float) mm;
nm = 3*(nn - noff) + mxv3*(mm - moff);
amx = 1.0 - dxp;
amy = 1.0 - dyp;
/* find electric field */
nn = nm;
dx = amx*sfxy[nn];
dy = amx*sfxy[nn+1];
dz = amx*sfxy[nn+2];
mm = nn + 3;
dx = amy*(dxp*sfxy[mm] + dx);
dy = amy*(dxp*sfxy[mm+1] + dy);
dz = amy*(dxp*sfxy[mm+2] + dz);
nn += mxv3;
acx = amx*sfxy[nn];
acy = amx*sfxy[nn+1];
acz = amx*sfxy[nn+2];
mm = nn + 3;
dx += dyp*(dxp*sfxy[mm] + acx);
dy += dyp*(dxp*sfxy[mm+1] + acy);
dz += dyp*(dxp*sfxy[mm+2] + acz);
/* find magnetic field */
nn = nm;
ox = amx*sbxy[nn];
oy = amx*sbxy[nn+1];
oz = amx*sbxy[nn+2];
mm = nn + 3;
ox = amy*(dxp*sbxy[mm] + ox);
oy = amy*(dxp*sbxy[mm+1] + oy);
oz = amy*(dxp*sbxy[mm+2] + oz);
nn += mxv3;
acx = amx*sbxy[nn];
acy = amx*sbxy[nn+1];
acz = amx*sbxy[nn+2];
mm = nn + 3;
ox += dyp*(dxp*sbxy[mm] + acx);
oy += dyp*(dxp*sbxy[mm+1] + acy);
oz += dyp*(dxp*sbxy[mm+2] + acz);
/* calculate half impulse */
dx *= qtmh;
dy *= qtmh;
dz *= qtmh;
/* half acceleration */
acx = ppart[2+idimp*(j+npoff)] + dx;
acy = ppart[3+idimp*(j+npoff)] + dy;
acz = ppart[4+idimp*(j+npoff)] + dz;
/* time-centered kinetic energy */
sum1 += (acx*acx + acy*acy + acz*acz);
/* calculate cyclotron frequency */
omxt = qtmh*ox;
omyt = qtmh*oy;
omzt = qtmh*oz;
/* calculate rotation matrix */
omt = omxt*omxt + omyt*omyt + omzt*omzt;
anorm = 2.0/(1.0 + omt);
omt = 0.5*(1.0 - omt);
rot4 = omxt*omyt;
rot7 = omxt*omzt;
rot8 = omyt*omzt;
rot1 = omt + omxt*omxt;
rot5 = omt + omyt*omyt;
rot9 = omt + omzt*omzt;
rot2 = omzt + rot4;
rot4 -= omzt;
rot3 = -omyt + rot7;
rot7 += omyt;
rot6 = omxt + rot8;
rot8 -= omxt;
/* new velocity */
dx += (rot1*acx + rot2*acy + rot3*acz)*anorm;
dy += (rot4*acx + rot5*acy + rot6*acz)*anorm;
dz += (rot7*acx + rot8*acy + rot9*acz)*anorm;
ppart[2+idimp*(j+npoff)] = dx;
ppart[3+idimp*(j+npoff)] = dy;
ppart[4+idimp*(j+npoff)] = dz;
/* new position */
dx = x + dx*dtc;
dy = y + dy*dtc;
/* reflecting boundary conditions */
if (ipbc==2) {
if ((dx < edgelx) || (dx >= edgerx)) {
dx = ppart[idimp*(j+npoff)];
ppart[2+idimp*(j+npoff)] = -ppart[2+idimp*(j+npoff)];
}
if ((dy < edgely) || (dy >= edgery)) {
dy = ppart[1+idimp*(j+npoff)];
ppart[3+idimp*(j+npoff)] = -ppart[3+idimp*(j+npoff)];
}
}
/* mixed reflecting/periodic boundary conditions */
else if (ipbc==3) {
if ((dx < edgelx) || (dx >= edgerx)) {
dx = ppart[idimp*(j+npoff)];
ppart[2+idimp*(j+npoff)] = -ppart[2+idimp*(j+npoff)];
}
}
/* set new position */
ppart[idimp*(j+npoff)] = dx;
ppart[1+idimp*(j+npoff)] = dy;
}
sum2 += sum1;
}
/* normalize kinetic energy */
*ek += 0.5*sum2;
return;
#undef MXV
#undef MYV
}
/*--------------------------------------------------------------------*/
void cgbppushf23l(float ppart[], float fxy[], float bxy[], int kpic[],
int ncl[], int ihole[], float qbm, float dt,
float dtc, float *ek, int idimp, int nppmx, int nx,
int ny, int mx, int my, int nxv, int nyv, int mx1,
int mxy1, int ntmax, int *irc) {
/* for 2-1/2d code, this subroutine updates particle co-ordinates and
velocities using leap-frog scheme in time and first-order linear
interpolation in space, with magnetic field. Using the Boris Mover.
with periodic boundary conditions.
also determines list of particles which are leaving this tile
OpenMP version using guard cells
data deposited in tiles
particles stored segmented array
119 flops/particle, 1 divide, 29 loads, 5 stores
input: all except ncl, ihole, irc, output: ppart, ncl, ihole, irc, ek
velocity equations used are:
vx(t+dt/2) = rot(1)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(2)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(3)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fx(x(t),y(t))*dt)
vy(t+dt/2) = rot(4)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(5)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(6)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fy(x(t),y(t))*dt)
vz(t+dt/2) = rot(7)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(8)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(9)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fz(x(t),y(t))*dt)
where q/m is charge/mass, and the rotation matrix is given by:
rot[0] = (1 - (om*dt/2)**2 + 2*(omx*dt/2)**2)/(1 + (om*dt/2)**2)
rot[1] = 2*(omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[2] = 2*(-omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[3] = 2*(-omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[4] = (1 - (om*dt/2)**2 + 2*(omy*dt/2)**2)/(1 + (om*dt/2)**2)
rot[5] = 2*(omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[6] = 2*(omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[7] = 2*(-omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[8] = (1 - (om*dt/2)**2 + 2*(omz*dt/2)**2)/(1 + (om*dt/2)**2)
and om**2 = omx**2 + omy**2 + omz**2
the rotation matrix is determined by:
omx = (q/m)*bx(x(t),y(t)), omy = (q/m)*by(x(t),y(t)), and
omz = (q/m)*bz(x(t),y(t)).
position equations used are:
x(t+dt)=x(t) + vx(t+dt/2)*dt
y(t+dt)=y(t) + vy(t+dt/2)*dt
fx(x(t),y(t)), fy(x(t),y(t)), and fz(x(t),y(t))
bx(x(t),y(t)), by(x(t),y(t)), and bz(x(t),y(t))
are approximated by interpolation from the nearest grid points:
fx(x,y) = (1-dy)*((1-dx)*fx(n,m)+dx*fx(n+1,m)) + dy*((1-dx)*fx(n,m+1)
+ dx*fx(n+1,m+1))
where n,m = leftmost grid points and dx = x-n, dy = y-m
similarly for fy(x,y), fz(x,y), bx(x,y), by(x,y), bz(x,y)
ppart[m][n][0] = position x of particle n in tile m
ppart[m][n][1] = position y of particle n in tile m
ppart[m][n][2] = x velocity of particle n in tile m
ppart[m][n][3] = y velocity of particle n in tile m
ppart[m][n][4] = z velocity of particle n in tile m
fxy[k][j][0] = x component of force/charge at grid (j,k)
fxy[k][j][1] = y component of force/charge at grid (j,k)
fxy[k][j][2] = z component of force/charge at grid (j,k)
that is, convolution of electric field over particle shape
bxy[k][j][0] = x component of magnetic field at grid (j,k)
bxy[k][j][1] = y component of magnetic field at grid (j,k)
bxy[k][j][2] = z component of magnetic field at grid (j,k)
that is, the convolution of magnetic field over particle shape
kpic[k] = number of particles in tile k
ncl[k][i] = number of particles going to destination i, tile k
ihole[k][:][0] = location of hole in array left by departing particle
ihole[k][:][1] = destination of particle leaving hole
ihole[k][0][0] = ih, number of holes left (error, if negative)
qbm = particle charge/mass ratio
dt = time interval between successive calculations
dtc = time interval between successive co-ordinate calculations
kinetic energy/mass at time t is also calculated, using
ek = .5*sum((vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt)**2 +
(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt)**2 +
(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt)**2)
idimp = size of phase space = 5
nppmx = maximum number of particles in tile
nx/ny = system length in x/y direction
mx/my = number of grids in sorting cell in x/y
nxv = second dimension of field arrays, must be >= nx+1
nyv = third dimension of field arrays, must be >= ny+1
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
ntmax = size of hole array for particles leaving tiles
irc = maximum overflow, returned only if error occurs, when irc > 0
optimized version
local data */
#define MXV 33
#define MYV 33
int noff, moff, npoff, npp, mxv3;
int i, j, k, ih, nh, nn, mm, nm;
float qtmh, dxp, dyp, amx, amy, dx, dy, dz, ox, oy, oz;
float acx, acy, acz, omxt, omyt, omzt, omt, anorm;
float rot1, rot2, rot3, rot4, rot5, rot6, rot7, rot8, rot9;
float anx, any, edgelx, edgely, edgerx, edgery;
float x, y;
float sfxy[3*MXV*MYV], sbxy[3*MXV*MYV];
/* float sfxy[3*(mx+1)*(my+1)], sbxy[3*(mx+1)*(my+1)]; */
double sum1, sum2;
mxv3 = 3*(mx + 1);
qtmh = 0.5*qbm*dt;
anx = (float) nx;
any = (float) ny;
sum2 = 0.0;
/* error if local array is too small */
/* if ((mx >= MXV) || (my >= MYV)) */
/* return; */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,noff,moff,npp,npoff,nn,mm,nm,ih,nh,x,y,dxp,dyp,amx,amy, \
dx,dy,dz,ox,oy,oz,acx,acy,acz,omxt,omyt,omzt,omt,anorm,rot1,rot2,rot3, \
rot4,rot5,rot6,rot7,rot8,rot9,edgelx,edgely,edgerx,edgery,sum1,sfxy, \
sbxy) \
reduction(+:sum2)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
npoff = nppmx*k;
nn = nx - noff;
nn = mx < nn ? mx : nn;
mm = ny - moff;
mm = my < mm ? my : mm;
edgelx = noff;
edgerx = noff + nn;
edgely = moff;
edgery = moff + mm;
ih = 0;
nh = 0;
nn += 1;
mm += 1;
/* load local fields from global array */
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sfxy[3*i+mxv3*j] = fxy[3*(i+noff+nxv*(j+moff))];
sfxy[1+3*i+mxv3*j] = fxy[1+3*(i+noff+nxv*(j+moff))];
sfxy[2+3*i+mxv3*j] = fxy[2+3*(i+noff+nxv*(j+moff))];
}
}
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sbxy[3*i+mxv3*j] = bxy[3*(i+noff+nxv*(j+moff))];
sbxy[1+3*i+mxv3*j] = bxy[1+3*(i+noff+nxv*(j+moff))];
sbxy[2+3*i+mxv3*j] = bxy[2+3*(i+noff+nxv*(j+moff))];
}
}
/* clear counters */
for (j = 0; j < 8; j++) {
ncl[j+8*k] = 0;
}
sum1 = 0.0;
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
/* find interpolation weights */
x = ppart[idimp*(j+npoff)];
y = ppart[1+idimp*(j+npoff)];
nn = x;
mm = y;
dxp = x - (float) nn;
dyp = y - (float) mm;
nm = 3*(nn - noff) + mxv3*(mm - moff);
amx = 1.0 - dxp;
amy = 1.0 - dyp;
/* find electric field */
nn = nm;
dx = amx*sfxy[nn];
dy = amx*sfxy[nn+1];
dz = amx*sfxy[nn+2];
mm = nn + 3;
dx = amy*(dxp*sfxy[mm] + dx);
dy = amy*(dxp*sfxy[mm+1] + dy);
dz = amy*(dxp*sfxy[mm+2] + dz);
nn += mxv3;
acx = amx*sfxy[nn];
acy = amx*sfxy[nn+1];
acz = amx*sfxy[nn+2];
mm = nn + 3;
dx += dyp*(dxp*sfxy[mm] + acx);
dy += dyp*(dxp*sfxy[mm+1] + acy);
dz += dyp*(dxp*sfxy[mm+2] + acz);
/* find magnetic field */
nn = nm;
ox = amx*sbxy[nn];
oy = amx*sbxy[nn+1];
oz = amx*sbxy[nn+2];
mm = nn + 3;
ox = amy*(dxp*sbxy[mm] + ox);
oy = amy*(dxp*sbxy[mm+1] + oy);
oz = amy*(dxp*sbxy[mm+2] + oz);
nn += mxv3;
acx = amx*sbxy[nn];
acy = amx*sbxy[nn+1];
acz = amx*sbxy[nn+2];
mm = nn + 3;
ox += dyp*(dxp*sbxy[mm] + acx);
oy += dyp*(dxp*sbxy[mm+1] + acy);
oz += dyp*(dxp*sbxy[mm+2] + acz);
/* calculate half impulse */
dx *= qtmh;
dy *= qtmh;
dz *= qtmh;
/* half acceleration */
acx = ppart[2+idimp*(j+npoff)] + dx;
acy = ppart[3+idimp*(j+npoff)] + dy;
acz = ppart[4+idimp*(j+npoff)] + dz;
/* time-centered kinetic energy */
sum1 += (acx*acx + acy*acy + acz*acz);
/* calculate cyclotron frequency */
omxt = qtmh*ox;
omyt = qtmh*oy;
omzt = qtmh*oz;
/* calculate rotation matrix */
omt = omxt*omxt + omyt*omyt + omzt*omzt;
anorm = 2.0/(1.0 + omt);
omt = 0.5*(1.0 - omt);
rot4 = omxt*omyt;
rot7 = omxt*omzt;
rot8 = omyt*omzt;
rot1 = omt + omxt*omxt;
rot5 = omt + omyt*omyt;
rot9 = omt + omzt*omzt;
rot2 = omzt + rot4;
rot4 -= omzt;
rot3 = -omyt + rot7;
rot7 += omyt;
rot6 = omxt + rot8;
rot8 -= omxt;
/* new velocity */
dx += (rot1*acx + rot2*acy + rot3*acz)*anorm;
dy += (rot4*acx + rot5*acy + rot6*acz)*anorm;
dz += (rot7*acx + rot8*acy + rot9*acz)*anorm;
ppart[2+idimp*(j+npoff)] = dx;
ppart[3+idimp*(j+npoff)] = dy;
ppart[4+idimp*(j+npoff)] = dz;
/* new position */
dx = x + dx*dtc;
dy = y + dy*dtc;
/* find particles going out of bounds */
mm = 0;
/* count how many particles are going in each direction in ncl */
/* save their address and destination in ihole */
/* use periodic boundary conditions and check for roundoff error */
/* mm = direction particle is going */
if (dx >= edgerx) {
if (dx >= anx)
dx -= anx;
mm = 2;
}
else if (dx < edgelx) {
if (dx < 0.0f) {
dx += anx;
if (dx < anx)
mm = 1;
else
dx = 0.0;
}
else {
mm = 1;
}
}
if (dy >= edgery) {
if (dy >= any)
dy -= any;
mm += 6;
}
else if (dy < edgely) {
if (dy < 0.0) {
dy += any;
if (dy < any)
mm += 3;
else
dy = 0.0;
}
else {
mm += 3;
}
}
/* set new position */
ppart[idimp*(j+npoff)] = dx;
ppart[1+idimp*(j+npoff)] = dy;
/* increment counters */
if (mm > 0) {
ncl[mm+8*k-1] += 1;
ih += 1;
if (ih <= ntmax) {
ihole[2*(ih+(ntmax+1)*k)] = j + 1;
ihole[1+2*(ih+(ntmax+1)*k)] = mm;
}
else {
nh = 1;
}
}
}
sum2 += sum1;
/* set error and end of file flag */
/* ihole overflow */
if (nh > 0) {
*irc = ih;
ih = -ih;
}
ihole[2*(ntmax+1)*k] = ih;
}
/* normalize kinetic energy */
*ek += 0.5*sum2;
return;
#undef MXV
#undef MYV
}
/*--------------------------------------------------------------------*/
void cgppost2l(float ppart[], float q[], int kpic[], float qm,
int nppmx, int idimp, int mx, int my, int nxv, int nyv,
int mx1, int mxy1) {
/* for 2d code, this subroutine calculates particle charge density
using first-order linear interpolation, periodic boundaries
OpenMP version using guard cells
data deposited in tiles
particles stored segmented array
17 flops/particle, 6 loads, 4 stores
input: all, output: q
charge density is approximated by values at the nearest grid points
q(n,m)=qm*(1.-dx)*(1.-dy)
q(n+1,m)=qm*dx*(1.-dy)
q(n,m+1)=qm*(1.-dx)*dy
q(n+1,m+1)=qm*dx*dy
where n,m = leftmost grid points and dx = x-n, dy = y-m
ppart[m][n][0] = position x of particle n in tile m
ppart[m][n][1] = position y of particle n in tile m
q[k][j] = charge density at grid point j,k
kpic = number of particles per tile
qm = charge on particle, in units of e
nppmx = maximum number of particles in tile
idimp = size of phase space = 4
mx/my = number of grids in sorting cell in x/y
nxv = first dimension of charge array, must be >= nx+1
nyv = second dimension of charge array, must be >= ny+1
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
local data */
#define MXV 33
#define MYV 33
int noff, moff, npoff, npp, mxv;
int i, j, k, nn, mm;
float x, y, dxp, dyp, amx, amy;
float sq[MXV*MYV];
/* float sq[(mx+1)*(my+1)]; */
mxv = mx + 1;
/* error if local array is too small */
/* if ((mx >= MXV) || (my >= MYV)) */
/* return; */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,noff,moff,npp,npoff,nn,mm,x,y,dxp,dyp,amx,amy,sq)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
npoff = nppmx*k;
/* zero out local accumulator */
for (j = 0; j < mxv*(my+1); j++) {
sq[j] = 0.0f;
}
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
/* find interpolation weights */
x = ppart[idimp*(j+npoff)];
y = ppart[1+idimp*(j+npoff)];
nn = x;
mm = y;
dxp = qm*(x - (float) nn);
dyp = y - (float) mm;
nn = nn - noff + mxv*(mm - moff);
amx = qm - dxp;
amy = 1.0f - dyp;
/* deposit charge within tile to local accumulator */
x = sq[nn] + amx*amy;
y = sq[nn+1] + dxp*amy;
sq[nn] = x;
sq[nn+1] = y;
nn += mxv;
x = sq[nn] + amx*dyp;
y = sq[nn+1] + dxp*dyp;
sq[nn] = x;
sq[nn+1] = y;
}
/* deposit charge to interior points in global array */
nn = nxv - noff;
mm = nyv - moff;
nn = mx < nn ? mx : nn;
mm = my < mm ? my : mm;
for (j = 1; j < mm; j++) {
for (i = 1; i < nn; i++) {
q[i+noff+nxv*(j+moff)] += sq[i+mxv*j];
}
}
/* deposit charge to edge points in global array */
mm = nyv - moff;
mm = my+1 < mm ? my+1 : mm;
for (i = 1; i < nn; i++) {
#pragma omp atomic
q[i+noff+nxv*moff] += sq[i];
if (mm > my) {
#pragma omp atomic
q[i+noff+nxv*(mm+moff-1)] += sq[i+mxv*(mm-1)];
}
}
nn = nxv - noff;
nn = mx+1 < nn ? mx+1 : nn;
for (j = 0; j < mm; j++) {
#pragma omp atomic
q[noff+nxv*(j+moff)] += sq[mxv*j];
if (nn > mx) {
#pragma omp atomic
q[nn+noff-1+nxv*(j+moff)] += sq[nn-1+mxv*j];
}
}
}
return;
#undef MXV
#undef MYV
}
/*--------------------------------------------------------------------*/
void cgjppost2l(float ppart[], float cu[], int kpic[], float qm,
float dt, int nppmx, int idimp, int nx, int ny, int mx,
int my, int nxv, int nyv, int mx1, int mxy1, int ipbc) {
/* for 2-1/2d code, this subroutine calculates particle current density
using first-order linear interpolation
in addition, particle positions are advanced a half time-step
OpenMP version using guard cells
data deposited in tiles
particles stored segmented array
41 flops/particle, 17 loads, 14 stores
input: all, output: ppart, cu
current density is approximated by values at the nearest grid points
cu(i,n,m)=qci*(1.-dx)*(1.-dy)
cu(i,n+1,m)=qci*dx*(1.-dy)
cu(i,n,m+1)=qci*(1.-dx)*dy
cu(i,n+1,m+1)=qci*dx*dy
where n,m = leftmost grid points and dx = x-n, dy = y-m
and qci = qm*vi, where i = x,y,z
ppart[m][n][0] = position x of particle n in tile m
ppart[m][n][1] = position y of particle n in tile m
ppart[m][n][2] = x velocity of particle n in tile m
ppart[m][n][3] = y velocity of particle n in tile m
ppart[m][n][4] = z velocity of particle n in tile m
cu[k][j][i] = ith component of current density at grid point j,k
kpic = number of particles per tile
qm = charge on particle, in units of e
dt = time interval between successive calculations
nppmx = maximum number of particles in tile
idimp = size of phase space = 5
nx/ny = system length in x/y direction
mx/my = number of grids in sorting cell in x/y
nxv = first dimension of current array, must be >= nx+1
nyv = second dimension of current array, must be >= ny+1
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
ipbc = particle boundary condition = (0,1,2,3) =
(none,2d periodic,2d reflecting,mixed reflecting/periodic)
local data */
#define MXV 33
#define MYV 33
int noff, moff, npoff, npp, mxv3;
int i, j, k, nn, mm;
float edgelx, edgely, edgerx, edgery, dxp, dyp, amx, amy;
float x, y, dx, dy, vx, vy, vz;
float scu[3*MXV*MYV];
/* float scu[3*(mx+1)*(my+1)]; */
mxv3 = 3*(mx + 1);
/* set boundary values */
edgelx = 0.0;
edgely = 0.0;
edgerx = (float) nx;
edgery = (float) ny;
if (ipbc==2) {
edgelx = 1.0;
edgely = 1.0;
edgerx = (float) (nx-1);
edgery = (float) (ny-1);
}
else if (ipbc==3) {
edgelx = 1.0;
edgerx = (float) (nx-1);
}
/* error if local array is too small */
/* if ((mx >= MXV) || (my >= MYV)) */
/* return; */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,noff,moff,npp,npoff,nn,mm,x,y,dxp,dyp,amx,amy,dx,dy,vx, \
vy,vz,scu)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
npoff = nppmx*k;
/* zero out local accumulator */
for (j = 0; j < mxv3*(my+1); j++) {
scu[j] = 0.0f;
}
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
/* find interpolation weights */
x = ppart[idimp*(j+npoff)];
y = ppart[1+idimp*(j+npoff)];
nn = x;
mm = y;
dxp = qm*(x - (float) nn);
dyp = y - (float) mm;
nn = 3*(nn - noff) + mxv3*(mm - moff);
amx = qm - dxp;
amy = 1.0 - dyp;
/* deposit current */
dx = amx*amy;
dy = dxp*amy;
vx = ppart[2+idimp*(j+npoff)];
vy = ppart[3+idimp*(j+npoff)];
vz = ppart[4+idimp*(j+npoff)];
scu[nn] += vx*dx;
scu[nn+1] += vy*dx;
scu[nn+2] += vz*dx;
dx = amx*dyp;
mm = nn + 3;
scu[mm] += vx*dy;
scu[mm+1] += vy*dy;
scu[mm+2] += vz*dy;
dy = dxp*dyp;
nn += mxv3;
scu[nn] += vx*dx;
scu[nn+1] += vy*dx;
scu[nn+2] += vz*dx;
mm = nn + 3;
scu[mm] += vx*dy;
scu[mm+1] += vy*dy;
scu[mm+2] += vz*dy;
/* advance position half a time-step */
dx = x + vx*dt;
dy = y + vy*dt;
/* reflecting boundary conditions */
if (ipbc==2) {
if ((dx < edgelx) || (dx >= edgerx)) {
dx = ppart[idimp*(j+npoff)];
ppart[2+idimp*(j+npoff)] = -ppart[2+idimp*(j+npoff)];
}
if ((dy < edgely) || (dy >= edgery)) {
dy = ppart[1+idimp*(j+npoff)];
ppart[3+idimp*(j+npoff)] = -ppart[3+idimp*(j+npoff)];
}
}
/* mixed reflecting/periodic boundary conditions */
else if (ipbc==3) {
if ((dx < edgelx) || (dx >= edgerx)) {
dx = ppart[idimp*(j+npoff)];
ppart[2+idimp*(j+npoff)] = -ppart[2+idimp*(j+npoff)];
}
}
/* set new position */
ppart[idimp*(j+npoff)] = dx;
ppart[1+idimp*(j+npoff)] = dy;
}
/* deposit current to interior points in global array */
nn = nxv - noff;
mm = nyv - moff;
nn = mx < nn ? mx : nn;
mm = my < mm ? my : mm;
for (j = 1; j < mm; j++) {
for (i = 1; i < nn; i++) {
cu[3*(i+noff+nxv*(j+moff))] += scu[3*i+mxv3*j];
cu[1+3*(i+noff+nxv*(j+moff))] += scu[1+3*i+mxv3*j];
cu[2+3*(i+noff+nxv*(j+moff))] += scu[2+3*i+mxv3*j];
}
}
/* deposit current to edge points in global array */
mm = nyv - moff;
mm = my+1 < mm ? my+1 : mm;
for (i = 1; i < nn; i++) {
#pragma omp atomic
cu[3*(i+noff+nxv*moff)] += scu[3*i];
#pragma omp atomic
cu[1+3*(i+noff+nxv*moff)] += scu[1+3*i];
#pragma omp atomic
cu[2+3*(i+noff+nxv*moff)] += scu[2+3*i];
if (mm > my) {
#pragma omp atomic
cu[3*(i+noff+nxv*(mm+moff-1))] += scu[3*i+mxv3*(mm-1)];
#pragma omp atomic
cu[1+3*(i+noff+nxv*(mm+moff-1))] += scu[1+3*i+mxv3*(mm-1)];
#pragma omp atomic
cu[2+3*(i+noff+nxv*(mm+moff-1))] += scu[2+3*i+mxv3*(mm-1)];
}
}
nn = nxv - noff;
nn = mx+1 < nn ? mx+1 : nn;
for (j = 0; j < mm; j++) {
#pragma omp atomic
cu[3*(noff+nxv*(j+moff))] += scu[mxv3*j];
#pragma omp atomic
cu[1+3*(noff+nxv*(j+moff))] += scu[1+mxv3*j];
#pragma omp atomic
cu[2+3*(noff+nxv*(j+moff))] += scu[2+mxv3*j];
if (nn > mx) {
#pragma omp atomic
cu[3*(nn+noff-1+nxv*(j+moff))] += scu[3*(nn-1)+mxv3*j];
#pragma omp atomic
cu[1+3*(nn+noff-1+nxv*(j+moff))] += scu[1+3*(nn-1)+mxv3*j];
#pragma omp atomic
cu[2+3*(nn+noff-1+nxv*(j+moff))] += scu[2+3*(nn-1)+mxv3*j];
}
}
}
return;
#undef MXV
#undef MYV
}
/*--------------------------------------------------------------------*/
void cgmjppost2l(float ppart[], float amu[], int kpic[], float qm,
int nppmx, int idimp, int mx, int my, int nxv, int nyv,
int mx1, int mxy1) {
/* for 2-1/2d code, this subroutine calculates particle momentum flux
using first-order spline interpolation
OpenMP version using guard cells
data deposited in tiles
particles stored segmented array
51 flops/particle, 21 loads, 16 stores
input: all, output: ppart, amu
momentum flux is approximated by values at the nearest grid points
amu(i,n,m)=qci*(1.-dx)*(1.-dy)
amu(i,n+1,m)=qci*dx*(1.-dy)
amu(i,n,m+1)=qci*(1.-dx)*dy
amu(i,n+1,m+1)=qci*dx*dy
where n,m = leftmost grid points and dx = x-n, dy = y-m
and qci = qm*vj*vk, where jk = xx-yy,xy,zx,zy, for i = 1, 4
where vj = vj(t-dt/2) and vk = vk(t-dt/2)
ppart[m][n][0] = position x of particle n in tile m at t
ppart[m][n][1] = position y of particle n in tile m at t
ppart[m][n][2] = x velocity of particle n in tile m at t - dt/2
ppart[m][n][3] = y velocity of particle n in tile m at t - dt/2
ppart[m][n][4] = z velocity of particle n in tile m at t - dt/2
amu[k][j][i] = ith component of momentum flux at grid point j,k
kpic = number of particles per tile
qm = charge on particle, in units of e
nppmx = maximum number of particles in tile
idimp = size of phase space = 5
mx/my = number of grids in sorting cell in x/y
nxv = second dimension of current array, must be >= nx+1
nyv = third dimension of current array, must be >= ny+1
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
local data */
#define MXV 33
#define MYV 33
int noff, moff, npoff, npp, mxv4;
int i, j, k, nn, mm;
float dxp, dyp, amx, amy;
float x, y, dx, dy, vx, vy, vz, v1, v2, v3, v4;
float samu[4*MXV*MYV];
/* float samu[4*(mx+1)*(my+1)]; */
mxv4 = 4*(mx + 1);
/* error if local array is too small */
/* if ((mx >= MXV) || (my >= MYV)) */
/* return; */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,noff,moff,npp,npoff,nn,mm,x,y,dxp,dyp,amx,amy,dx,dy,vx, \
vy,vz,v1,v2,v3,v4,samu)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
npoff = nppmx*k;
/* zero out local accumulator */
for (j = 0; j < mxv4*(my+1); j++) {
samu[j] = 0.0f;
}
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
/* find interpolation weights */
x = ppart[idimp*(j+npoff)];
y = ppart[1+idimp*(j+npoff)];
nn = x;
mm = y;
dxp = qm*(x - (float) nn);
dyp = y - (float) mm;
nn = 4*(nn - noff) + mxv4*(mm - moff);
amx = qm - dxp;
amy = 1.0 - dyp;
/* deposit momentum flux */
dx = amx*amy;
dy = dxp*amy;
vx = ppart[2+idimp*(j+npoff)];
vy = ppart[3+idimp*(j+npoff)];
vz = ppart[4+idimp*(j+npoff)];
v1 = vx*vx - vy*vy;
v2 = vx*vy;
v3 = vz*vx;
v4 = vz*vy;
samu[nn] += v1*dx;
samu[nn+1] += v2*dx;
samu[nn+2] += v3*dx;
samu[nn+3] += v4*dx;
dx = amx*dyp;
mm = nn + 4;
samu[mm] += v1*dy;
samu[mm+1] += v2*dy;
samu[mm+2] += v3*dy;
samu[mm+3] += v4*dy;
dy = dxp*dyp;
nn += mxv4;
samu[nn] += v1*dx;
samu[nn+1] += v2*dx;
samu[nn+2] += v3*dx;
samu[nn+3] += v4*dx;
mm = nn + 4;
samu[mm] += v1*dy;
samu[mm+1] += v2*dy;
samu[mm+2] += v3*dy;
samu[mm+3] += v4*dy;
}
/* deposit current to interior points in global array */
nn = nxv - noff;
mm = nyv - moff;
nn = mx < nn ? mx : nn;
mm = my < mm ? my : mm;
for (j = 1; j < mm; j++) {
for (i = 1; i < nn; i++) {
amu[4*(i+noff+nxv*(j+moff))] += samu[4*i+mxv4*j];
amu[1+4*(i+noff+nxv*(j+moff))] += samu[1+4*i+mxv4*j];
amu[2+4*(i+noff+nxv*(j+moff))] += samu[2+4*i+mxv4*j];
amu[3+4*(i+noff+nxv*(j+moff))] += samu[3+4*i+mxv4*j];
}
}
/* deposit current to edge points in global array */
mm = nyv - moff;
mm = my+1 < mm ? my+1 : mm;
for (i = 1; i < nn; i++) {
#pragma omp atomic
amu[4*(i+noff+nxv*moff)] += samu[4*i];
#pragma omp atomic
amu[1+4*(i+noff+nxv*moff)] += samu[1+4*i];
#pragma omp atomic
amu[2+4*(i+noff+nxv*moff)] += samu[2+4*i];
#pragma omp atomic
amu[3+4*(i+noff+nxv*moff)] += samu[3+4*i];
if (mm > my) {
#pragma omp atomic
amu[4*(i+noff+nxv*(mm+moff-1))] += samu[4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[1+4*(i+noff+nxv*(mm+moff-1))] += samu[1+4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[2+4*(i+noff+nxv*(mm+moff-1))] += samu[2+4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[3+4*(i+noff+nxv*(mm+moff-1))] += samu[3+4*i+mxv4*(mm-1)];
}
}
nn = nxv - noff;
nn = mx+1 < nn ? mx+1 : nn;
for (j = 0; j < mm; j++) {
#pragma omp atomic
amu[4*(noff+nxv*(j+moff))] += samu[mxv4*j];
#pragma omp atomic
amu[1+4*(noff+nxv*(j+moff))] += samu[1+mxv4*j];
#pragma omp atomic
amu[2+4*(noff+nxv*(j+moff))] += samu[2+mxv4*j];
#pragma omp atomic
amu[3+4*(noff+nxv*(j+moff))] += samu[3+mxv4*j];
if (nn > mx) {
#pragma omp atomic
amu[4*(nn+noff-1+nxv*(j+moff))] += samu[4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[1+4*(nn+noff-1+nxv*(j+moff))] += samu[1+4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[2+4*(nn+noff-1+nxv*(j+moff))] += samu[2+4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[3+4*(nn+noff-1+nxv*(j+moff))] += samu[3+4*(nn-1)+mxv4*j];
}
}
}
return;
#undef MXV
#undef MYV
}
/*--------------------------------------------------------------------*/
void cgdjppost2l(float ppart[], float fxy[], float bxy[], float dcu[],
float amu[], int kpic[], float qm, float qbm, float dt,
int idimp, int nppmx, int nx, int ny, int mx, int my,
int nxv, int nyv, int mx1, int mxy1) {
/* for 2-1/2d code, this subroutine calculates particle momentum flux
and acceleration density using first-order spline interpolation.
OpenMP version using guard cells
data deposited in tiles
particles stored segmented array
194 flops/particle, 1 divide, 57 loads, 28 stores
input: all, output: dcu, amu
acceleration density is approximated by values at the nearest grid
points
dcu(i,n,m)=qci*(1.-dx)*(1.-dy)
dcu(i,n+1,m)=qci*dx*(1.-dy)
dcu(i,n,m+1)=qci*(1.-dx)*dy
dcu(i,n+1,m+1)=qci*dx*dy
and qci = qm*dvj/dt, where j = x,y,z, for i = 1, 3
where dvj = (vj(t+dt/2)-vj(t-dt/2))/dt
momentum flux is approximated by values at the nearest grid points
amu(i,n,m)=qci*(1.-dx)*(1.-dy)
amu(i,n+1,m)=qci*dx*(1.-dy)
amu(i,n,m+1)=qci*(1.-dx)*dy
amu(i,n+1,m+1)=qci*dx*dy
and qci = qm*vj*vk, where jk = xx-yy,xy,zx,zy, for i = 1, 4
where vj = 0.5*(vj(t+dt/2)+vj(t-dt/2),
and vk = 0.5*(vk(t+dt/2)+vk(t-dt/2))
where n,m = nearest grid points and dx = x-n, dy = y-m
velocity equations at t=t+dt/2 are calculated from:
vx(t+dt/2) = rot(1)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(2)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(3)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fx(x(t),y(t))*dt)
vy(t+dt/2) = rot(4)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(5)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(6)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fy(x(t),y(t))*dt)
vz(t+dt/2) = rot(7)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(8)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(9)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fz(x(t),y(t))*dt)
where q/m is charge/mass, and the rotation matrix is given by:
rot[0] = (1 - (om*dt/2)**2 + 2*(omx*dt/2)**2)/(1 + (om*dt/2)**2)
rot[1] = 2*(omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[2] = 2*(-omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[3] = 2*(-omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[4] = (1 - (om*dt/2)**2 + 2*(omy*dt/2)**2)/(1 + (om*dt/2)**2)
rot[5] = 2*(omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[6] = 2*(omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[7] = 2*(-omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[8] = (1 - (om*dt/2)**2 + 2*(omz*dt/2)**2)/(1 + (om*dt/2)**2)
and om**2 = omx**2 + omy**2 + omz**2
the rotation matrix is determined by:
omx = (q/m)*bx(x(t),y(t)), omy = (q/m)*by(x(t),y(t)), and
omz = (q/m)*bz(x(t),y(t)).
fx(x(t),y(t)), fy(x(t),y(t)), and fz(x(t),y(t))
bx(x(t),y(t)), by(x(t),y(t)), and bz(x(t),y(t))
are approximated by interpolation from the nearest grid points:
fx(x,y) = (1-dy)*((1-dx)*fx(n,m)+dx*fx(n+1,m)) + dy*((1-dx)*fx(n,m+1)
+ dx*fx(n+1,m+1))
where n,m = leftmost grid points and dx = x-n, dy = y-m
similarly for fy(x,y), fz(x,y), bx(x,y), by(x,y), bz(x,y)
ppart[m][n][0] = position x of particle n in tile m at t
ppart[m][n][1] = position y of particle n in tile m at t
ppart[m][n][2] = x velocity of particle n in tile m at t - dt/2
ppart[m][n][3] = y velocity of particle n in tile m at t - dt/2
ppart[m][n][4] = z velocity of particle n in tile m at t - dt/2
fxy[k][j][0] = x component of force/charge at grid (j,k)
fxy[k][j][1] = y component of force/charge at grid (j,k)
fxy[k][j][2] = z component of force/charge at grid (j,k)
that is, convolution of electric field over particle shape
bxy[k][j][0] = x component of magnetic field at grid (j,k)
bxy[k][j][1] = y component of magnetic field at grid (j,k)
bxy[k][j][2] = z component of magnetic field at grid (j,k)
that is, the convolution of magnetic field over particle shape
dcu[k][j][i] = ith component of acceleration density
at grid point j,k for i = 0, 2
amu[k][j][i] = ith component of momentum flux
at grid point j,k for i = 0, 3
kpic = number of particles per tile
qm = charge on particle, in units of e
qbm = particle charge/mass ratio
dt = time interval between successive calculations
idimp = size of phase space = 5
nppmx = maximum number of particles in tile
nx/ny = system length in x/y direction
mx/my = number of grids in sorting cell in x/y
nxv = second dimension of field arrays, must be >= nx+1
nyv = third dimension of field arrays, must be >= ny+1
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
local data */
#define MXV 33
#define MYV 33
int noff, moff, npoff, npp, mxv3, mxv4;
int i, j, k, nn, mm, nm, mn;
float qtmh, dti, dxp, dyp, amx, amy, dx, dy, dz, ox, oy, oz;
float acx, acy, acz, omxt, omyt, omzt, omt, anorm;
float rot1, rot2, rot3, rot4, rot5, rot6, rot7, rot8, rot9;
float x, y, vx, vy, vz, v1, v2, v3, v4;
float sfxy[3*MXV*MYV], sbxy[3*MXV*MYV];
float sdcu[3*MXV*MYV], samu[4*MXV*MYV];
/* float sfxy[3*(mx+1)*(my+1)], sbxy[3*(mx+1)*(my+1)]; */
/* float sdcu[3*(mx+1)*(my+1)] samu[4*(mx+1)*(my+1)]; */
mxv3 = 3*(mx + 1);
mxv4 = 4*(mx + 1);
qtmh = 0.5*qbm*dt;
dti = 1.0/dt;
/* error if local array is too small */
/* if ((mx >= MXV) || (my >= MYV)) */
/* return; */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,noff,moff,npp,npoff,nn,mm,nm,mn,x,y,vx,vy,vz,v1,v2,v3,v4, \
dxp,dyp,amx,amy,dx,dy,dz,ox,oy,oz,acx,acy,acz,omxt,omyt,omzt,omt,anorm, \
rot1,rot2,rot3,rot4,rot5,rot6,rot7,rot8,rot9,sfxy,sbxy,sdcu,samu)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
npoff = nppmx*k;
/* load local fields from global array */
nn = (mx < nx-noff ? mx : nx-noff) + 1;
mm = (my < ny-moff ? my : ny-moff) + 1;
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sfxy[3*i+mxv3*j] = fxy[3*(i+noff+nxv*(j+moff))];
sfxy[1+3*i+mxv3*j] = fxy[1+3*(i+noff+nxv*(j+moff))];
sfxy[2+3*i+mxv3*j] = fxy[2+3*(i+noff+nxv*(j+moff))];
}
}
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sbxy[3*i+mxv3*j] = bxy[3*(i+noff+nxv*(j+moff))];
sbxy[1+3*i+mxv3*j] = bxy[1+3*(i+noff+nxv*(j+moff))];
sbxy[2+3*i+mxv3*j] = bxy[2+3*(i+noff+nxv*(j+moff))];
}
}
/* zero out local accumulators */
for (j = 0; j < mxv3*(my+1); j++) {
sdcu[j] = 0.0f;
}
for (j = 0; j < mxv4*(my+1); j++) {
samu[j] = 0.0f;
}
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
/* find interpolation weights */
x = ppart[idimp*(j+npoff)];
y = ppart[1+idimp*(j+npoff)];
nn = x;
mm = y;
dxp = x - (float) nn;
dyp = y - (float) mm;
nm = 3*(nn - noff) + mxv3*(mm - moff);
mn = 4*(nn - noff) + mxv4*(mm - moff);
amx = 1.0 - dxp;
amy = 1.0 - dyp;
/* find electric field */
nn = nm;
dx = amx*sfxy[nn];
dy = amx*sfxy[nn+1];
dz = amx*sfxy[nn+2];
mm = nn + 3;
dx = amy*(dxp*sfxy[mm] + dx);
dy = amy*(dxp*sfxy[mm+1] + dy);
dz = amy*(dxp*sfxy[mm+2] + dz);
nn += mxv3;
acx = amx*sfxy[nn];
acy = amx*sfxy[nn+1];
acz = amx*sfxy[nn+2];
mm = nn + 3;
dx += dyp*(dxp*sfxy[mm] + acx);
dy += dyp*(dxp*sfxy[mm+1] + acy);
dz += dyp*(dxp*sfxy[mm+2] + acz);
/* find magnetic field */
nn = nm;
ox = amx*sbxy[nn];
oy = amx*sbxy[nn+1];
oz = amx*sbxy[nn+2];
mm = nn + 3;
ox = amy*(dxp*sbxy[mm] + ox);
oy = amy*(dxp*sbxy[mm+1] + oy);
oz = amy*(dxp*sbxy[mm+2] + oz);
nn += mxv3;
acx = amx*sbxy[nn];
acy = amx*sbxy[nn+1];
acz = amx*sbxy[nn+2];
mm = nn + 3;
ox += dyp*(dxp*sbxy[mm] + acx);
oy += dyp*(dxp*sbxy[mm+1] + acy);
oz += dyp*(dxp*sbxy[mm+2] + acz);
/* calculate half impulse */
dx *= qtmh;
dy *= qtmh;
dz *= qtmh;
/* half acceleration */
vx = ppart[2+idimp*(j+npoff)];
vy = ppart[3+idimp*(j+npoff)];
vz = ppart[4+idimp*(j+npoff)];
acx = vx + dx;
acy = vy + dy;
acz = vz + dz;
/* calculate cyclotron frequency */
omxt = qtmh*ox;
omyt = qtmh*oy;
omzt = qtmh*oz;
/* calculate rotation matrix */
omt = omxt*omxt + omyt*omyt + omzt*omzt;
anorm = 2.0/(1.0 + omt);
omt = 0.5*(1.0 - omt);
rot4 = omxt*omyt;
rot7 = omxt*omzt;
rot8 = omyt*omzt;
rot1 = omt + omxt*omxt;
rot5 = omt + omyt*omyt;
rot9 = omt + omzt*omzt;
rot2 = omzt + rot4;
rot4 -= omzt;
rot3 = -omyt + rot7;
rot7 += omyt;
rot6 = omxt + rot8;
rot8 -= omxt;
/* new velocity */
dx += (rot1*acx + rot2*acy + rot3*acz)*anorm;
dy += (rot4*acx + rot5*acy + rot6*acz)*anorm;
dz += (rot7*acx + rot8*acy + rot9*acz)*anorm;
/* deposit momentum flux and acceleration density */
amx = qm*amx;
dxp = qm*dxp;
ox = 0.5*(dx + vx);
oy = 0.5*(dy + vy);
oz = 0.5*(dz + vz);
vx = dti*(dx - vx);
vy = dti*(dy - vy);
vz = dti*(dz - vz);
dx = amx*amy;
dy = dxp*amy;
v1 = ox*ox - oy*oy;
v2 = ox*oy;
v3 = oz*ox;
v4 = oz*oy;
nn = mn;
samu[nn] += v1*dx;
samu[nn+1] += v2*dx;
samu[nn+2] += v3*dx;
samu[nn+3] += v4*dx;
dx = amx*dyp;
mm = nn + 4;
samu[mm] += v1*dy;
samu[mm+1] += v2*dy;
samu[mm+2] += v3*dy;
samu[mm+3] += v4*dy;
dy = dxp*dyp;
nn += mxv4;
samu[nn] += v1*dx;
samu[nn+1] += v2*dx;
samu[nn+2] += v3*dx;
samu[nn+3] += v4*dx;
mm = nn + 4;
samu[mm] += v1*dy;
samu[mm+1] += v2*dy;
samu[mm+2] += v3*dy;
samu[mm+3] += v4*dy;
dx = amx*amy;
dy = dxp*amy;
nn = nm;
sdcu[nn] += vx*dx;
sdcu[nn+1] += vy*dx;
sdcu[nn+2] += vz*dx;
dx = amx*dyp;
mm = nn + 3;
sdcu[mm] += vx*dy;
sdcu[mm+1] += vy*dy;
sdcu[mm+2] += vz*dy;
dy = dxp*dyp;
nn += mxv3;
sdcu[nn] += vx*dx;
sdcu[nn+1] += vy*dx;
sdcu[nn+2] += vz*dx;
mm = nn + 3;
sdcu[mm] += vx*dy;
sdcu[mm+1] += vy*dy;
sdcu[mm+2] += vz*dy;
}
/* deposit current to interior points in global array */
nn = nxv - noff;
mm = nyv - moff;
nn = mx < nn ? mx : nn;
mm = my < mm ? my : mm;
for (j = 1; j < mm; j++) {
for (i = 1; i < nn; i++) {
amu[4*(i+noff+nxv*(j+moff))] += samu[4*i+mxv4*j];
amu[1+4*(i+noff+nxv*(j+moff))] += samu[1+4*i+mxv4*j];
amu[2+4*(i+noff+nxv*(j+moff))] += samu[2+4*i+mxv4*j];
amu[3+4*(i+noff+nxv*(j+moff))] += samu[3+4*i+mxv4*j];
dcu[3*(i+noff+nxv*(j+moff))] += sdcu[3*i+mxv3*j];
dcu[1+3*(i+noff+nxv*(j+moff))] += sdcu[1+3*i+mxv3*j];
dcu[2+3*(i+noff+nxv*(j+moff))] += sdcu[2+3*i+mxv3*j];
}
}
/* deposit current to edge points in global array */
mm = nyv - moff;
mm = my+1 < mm ? my+1 : mm;
for (i = 1; i < nn; i++) {
#pragma omp atomic
amu[4*(i+noff+nxv*moff)] += samu[4*i];
#pragma omp atomic
amu[1+4*(i+noff+nxv*moff)] += samu[1+4*i];
#pragma omp atomic
amu[2+4*(i+noff+nxv*moff)] += samu[2+4*i];
#pragma omp atomic
amu[3+4*(i+noff+nxv*moff)] += samu[3+4*i];
#pragma omp atomic
dcu[3*(i+noff+nxv*moff)] += sdcu[3*i];
#pragma omp atomic
dcu[1+3*(i+noff+nxv*moff)] += sdcu[1+3*i];
#pragma omp atomic
dcu[2+3*(i+noff+nxv*moff)] += sdcu[2+3*i];
if (mm > my) {
#pragma omp atomic
amu[4*(i+noff+nxv*(mm+moff-1))] += samu[4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[1+4*(i+noff+nxv*(mm+moff-1))] += samu[1+4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[2+4*(i+noff+nxv*(mm+moff-1))] += samu[2+4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[3+4*(i+noff+nxv*(mm+moff-1))] += samu[3+4*i+mxv4*(mm-1)];
#pragma omp atomic
dcu[3*(i+noff+nxv*(mm+moff-1))] += sdcu[3*i+mxv3*(mm-1)];
#pragma omp atomic
dcu[1+3*(i+noff+nxv*(mm+moff-1))] += sdcu[1+3*i+mxv3*(mm-1)];
#pragma omp atomic
dcu[2+3*(i+noff+nxv*(mm+moff-1))] += sdcu[2+3*i+mxv3*(mm-1)];
}
}
nn = nxv - noff;
nn = mx+1 < nn ? mx+1 : nn;
for (j = 0; j < mm; j++) {
#pragma omp atomic
amu[4*(noff+nxv*(j+moff))] += samu[mxv4*j];
#pragma omp atomic
amu[1+4*(noff+nxv*(j+moff))] += samu[1+mxv4*j];
#pragma omp atomic
amu[2+4*(noff+nxv*(j+moff))] += samu[2+mxv4*j];
#pragma omp atomic
amu[3+4*(noff+nxv*(j+moff))] += samu[3+mxv4*j];
#pragma omp atomic
dcu[3*(noff+nxv*(j+moff))] += sdcu[mxv3*j];
#pragma omp atomic
dcu[1+3*(noff+nxv*(j+moff))] += sdcu[1+mxv3*j];
#pragma omp atomic
dcu[2+3*(noff+nxv*(j+moff))] += sdcu[2+mxv3*j];
if (nn > mx) {
#pragma omp atomic
amu[4*(nn+noff-1+nxv*(j+moff))] += samu[4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[1+4*(nn+noff-1+nxv*(j+moff))] += samu[1+4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[2+4*(nn+noff-1+nxv*(j+moff))] += samu[2+4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[3+4*(nn+noff-1+nxv*(j+moff))] += samu[3+4*(nn-1)+mxv4*j];
#pragma omp atomic
dcu[3*(nn+noff-1+nxv*(j+moff))] += sdcu[3*(nn-1)+mxv3*j];
#pragma omp atomic
dcu[1+3*(nn+noff-1+nxv*(j+moff))] += sdcu[1+3*(nn-1)+mxv3*j];
#pragma omp atomic
dcu[2+3*(nn+noff-1+nxv*(j+moff))] += sdcu[2+3*(nn-1)+mxv3*j];
}
}
}
return;
#undef MXV
#undef MYV
}
/*--------------------------------------------------------------------*/
void cgdcjppost2l(float ppart[], float fxy[], float bxy[], float cu[],
float dcu[], float amu[], int kpic[], float qm,
float qbm, float dt, int idimp, int nppmx, int nx,
int ny, int mx, int my, int nxv, int nyv, int mx1,
int mxy1) {
/* for 2-1/2d code, this subroutine calculates particle momentum flux,
acceleration density and current density using first-order spline
interpolation.
OpenMP version using guard cells
data deposited in tiles
particles stored segmented array
218 flops/particle, 1 divide, 69 loads, 40 stores
input: all, output: cu, dcu, amu
current density is approximated by values at the nearest grid points
cu(i,n,m)=qci*(1.-dx)*(1.-dy)
cu(i,n+1,m)=qci*dx*(1.-dy)
cu(i,n,m+1)=qci*(1.-dx)*dy
cu(i,n+1,m+1)=qci*dx*dy
and qci = qm*vj, where j = x,y,z, for i = 1, 3
where vj = .5*(vj(t+dt/2)+vj(t-dt/2))
acceleration density is approximated by values at the nearest grid
points
dcu(i,n,m)=qci*(1.-dx)*(1.-dy)
dcu(i,n+1,m)=qci*dx*(1.-dy)
dcu(i,n,m+1)=qci*(1.-dx)*dy
dcu(i,n+1,m+1)=qci*dx*dy
and qci = qm*dvj/dt, where j = x,y,z, for i = 1, 3
where dvj = (vj(t+dt/2)-vj(t-dt/2))/dt
momentum flux is approximated by values at the nearest grid points
amu(i,n,m)=qci*(1.-dx)*(1.-dy)
amu(i,n+1,m)=qci*dx*(1.-dy)
amu(i,n,m+1)=qci*(1.-dx)*dy
amu(i,n+1,m+1)=qci*dx*dy
and qci = qm*vj*vk, where jk = xx-yy,xy,zx,zy, for i = 1, 4
where vj = 0.5*(vj(t+dt/2)+vj(t-dt/2),
and vk = 0.5*(vk(t+dt/2)+vk(t-dt/2))
where n,m = nearest grid points and dx = x-n, dy = y-m
velocity equations at t=t+dt/2 are calculated from:
vx(t+dt/2) = rot(1)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(2)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(3)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fx(x(t),y(t))*dt)
vy(t+dt/2) = rot(4)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(5)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(6)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fy(x(t),y(t))*dt)
vz(t+dt/2) = rot(7)*(vx(t-dt/2) + .5*(q/m)*fx(x(t),y(t))*dt) +
rot(8)*(vy(t-dt/2) + .5*(q/m)*fy(x(t),y(t))*dt) +
rot(9)*(vz(t-dt/2) + .5*(q/m)*fz(x(t),y(t))*dt) +
.5*(q/m)*fz(x(t),y(t))*dt)
where q/m is charge/mass, and the rotation matrix is given by:
rot[0] = (1 - (om*dt/2)**2 + 2*(omx*dt/2)**2)/(1 + (om*dt/2)**2)
rot[1] = 2*(omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[2] = 2*(-omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[3] = 2*(-omz*dt/2 + (omx*dt/2)*(omy*dt/2))/(1 + (om*dt/2)**2)
rot[4] = (1 - (om*dt/2)**2 + 2*(omy*dt/2)**2)/(1 + (om*dt/2)**2)
rot[5] = 2*(omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[6] = 2*(omy*dt/2 + (omx*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[7] = 2*(-omx*dt/2 + (omy*dt/2)*(omz*dt/2))/(1 + (om*dt/2)**2)
rot[8] = (1 - (om*dt/2)**2 + 2*(omz*dt/2)**2)/(1 + (om*dt/2)**2)
and om**2 = omx**2 + omy**2 + omz**2
the rotation matrix is determined by:
omx = (q/m)*bx(x(t),y(t)), omy = (q/m)*by(x(t),y(t)), and
omz = (q/m)*bz(x(t),y(t)).
fx(x(t),y(t)), fy(x(t),y(t)), and fz(x(t),y(t))
bx(x(t),y(t)), by(x(t),y(t)), and bz(x(t),y(t))
are approximated by interpolation from the nearest grid points:
fx(x,y) = (1-dy)*((1-dx)*fx(n,m)+dx*fx(n+1,m)) + dy*((1-dx)*fx(n,m+1)
+ dx*fx(n+1,m+1))
where n,m = leftmost grid points and dx = x-n, dy = y-m
similarly for fy(x,y), fz(x,y), bx(x,y), by(x,y), bz(x,y)
ppart[m][n][0] = position x of particle n in tile m at t
ppart[m][n][1] = position y of particle n in tile m at t
ppart[m][n][2] = x velocity of particle n in tile m at t - dt/2
ppart[m][n][3] = y velocity of particle n in tile m at t - dt/2
ppart[m][n][4] = z velocity of particle n in tile m at t - dt/2
fxy[k][j][0] = x component of force/charge at grid (j,k)
fxy[k][j][1] = y component of force/charge at grid (j,k)
fxy[k][j][2] = z component of force/charge at grid (j,k)
that is, convolution of electric field over particle shape
bxy[k][j][0] = x component of magnetic field at grid (j,k)
bxy[k][j][1] = y component of magnetic field at grid (j,k)
bxy[k][j][2] = z component of magnetic field at grid (j,k)
that is, the convolution of magnetic field over particle shape
cu[k][j][i] = ith component of current density at grid point j,k
at grid point j,k for i = 0, 2
dcu[k][j][i] = ith component of acceleration density
at grid point j,k for i = 0, 2
amu[k][j][i] = ith component of momentum flux
at grid point j,k for i = 0, 3
kpic = number of particles per tile
qm = charge on particle, in units of e
qbm = particle charge/mass ratio
dt = time interval between successive calculations
idimp = size of phase space = 5
nppmx = maximum number of particles in tile
nx/ny = system length in x/y direction
mx/my = number of grids in sorting cell in x/y
nxv = second dimension of field arrays, must be >= nx+1
nyv = third dimension of field arrays, must be >= ny+1
mx1 = (system length in x direction - 1)/mx + 1
mxy1 = mx1*my1, where my1 = (system length in y direction - 1)/my + 1
local data */
#define MXV 33
#define MYV 33
int noff, moff, npoff, npp, mxv3, mxv4;
int i, j, k, nn, mm, nm, mn;
float qtmh, dti, dxp, dyp, amx, amy, dx, dy, dz, ox, oy, oz;
float acx, acy, acz, omxt, omyt, omzt, omt, anorm;
float rot1, rot2, rot3, rot4, rot5, rot6, rot7, rot8, rot9;
float x, y, vx, vy, vz, v1, v2, v3, v4;
float sfxy[3*MXV*MYV], sbxy[3*MXV*MYV];
float scu[3*MXV*MYV], sdcu[3*MXV*MYV], samu[4*MXV*MYV];
/* float sfxy[3*(mx+1)*(my+1)], sbxy[3*(mx+1)*(my+1)]; */
/* float scu[3*(mx+1)*(my+1)], sdcu[3*(mx+1)*(my+1)]; */
/* float samu[4*(mx+1)*(my+1)]; */
mxv3 = 3*(mx + 1);
mxv4 = 4*(mx + 1);
qtmh = 0.5*qbm*dt;
dti = 1.0/dt;
/* error if local array is too small */
/* if ((mx >= MXV) || (my >= MYV)) */
/* return; */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,noff,moff,npp,npoff,nn,mm,nm,mn,x,y,vx,vy,vz,v1,v2,v3,v4, \
dxp,dyp,amx,amy,dx,dy,dz,ox,oy,oz,acx,acy,acz,omxt,omyt,omzt,omt,anorm, \
rot1,rot2,rot3,rot4,rot5,rot6,rot7,rot8,rot9,sfxy,sbxy,scu,sdcu,samu)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
npoff = nppmx*k;
/* load local fields from global array */
nn = (mx < nx-noff ? mx : nx-noff) + 1;
mm = (my < ny-moff ? my : ny-moff) + 1;
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sfxy[3*i+mxv3*j] = fxy[3*(i+noff+nxv*(j+moff))];
sfxy[1+3*i+mxv3*j] = fxy[1+3*(i+noff+nxv*(j+moff))];
sfxy[2+3*i+mxv3*j] = fxy[2+3*(i+noff+nxv*(j+moff))];
}
}
for (j = 0; j < mm; j++) {
for (i = 0; i < nn; i++) {
sbxy[3*i+mxv3*j] = bxy[3*(i+noff+nxv*(j+moff))];
sbxy[1+3*i+mxv3*j] = bxy[1+3*(i+noff+nxv*(j+moff))];
sbxy[2+3*i+mxv3*j] = bxy[2+3*(i+noff+nxv*(j+moff))];
}
}
/* zero out local accumulators */
for (j = 0; j < mxv3*(my+1); j++) {
scu[j] = 0.0f;
sdcu[j] = 0.0f;
}
for (j = 0; j < mxv4*(my+1); j++) {
samu[j] = 0.0f;
}
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
/* find interpolation weights */
x = ppart[idimp*(j+npoff)];
y = ppart[1+idimp*(j+npoff)];
nn = x;
mm = y;
dxp = x - (float) nn;
dyp = y - (float) mm;
nm = 3*(nn - noff) + mxv3*(mm - moff);
mn = 4*(nn - noff) + mxv4*(mm - moff);
amx = 1.0 - dxp;
amy = 1.0 - dyp;
/* find electric field */
nn = nm;
dx = amx*sfxy[nn];
dy = amx*sfxy[nn+1];
dz = amx*sfxy[nn+2];
mm = nn + 3;
dx = amy*(dxp*sfxy[mm] + dx);
dy = amy*(dxp*sfxy[mm+1] + dy);
dz = amy*(dxp*sfxy[mm+2] + dz);
nn += mxv3;
acx = amx*sfxy[nn];
acy = amx*sfxy[nn+1];
acz = amx*sfxy[nn+2];
mm = nn + 3;
dx += dyp*(dxp*sfxy[mm] + acx);
dy += dyp*(dxp*sfxy[mm+1] + acy);
dz += dyp*(dxp*sfxy[mm+2] + acz);
/* find magnetic field */
nn = nm;
ox = amx*sbxy[nn];
oy = amx*sbxy[nn+1];
oz = amx*sbxy[nn+2];
mm = nn + 3;
ox = amy*(dxp*sbxy[mm] + ox);
oy = amy*(dxp*sbxy[mm+1] + oy);
oz = amy*(dxp*sbxy[mm+2] + oz);
nn += mxv3;
acx = amx*sbxy[nn];
acy = amx*sbxy[nn+1];
acz = amx*sbxy[nn+2];
mm = nn + 3;
ox += dyp*(dxp*sbxy[mm] + acx);
oy += dyp*(dxp*sbxy[mm+1] + acy);
oz += dyp*(dxp*sbxy[mm+2] + acz);
/* calculate half impulse */
dx *= qtmh;
dy *= qtmh;
dz *= qtmh;
/* half acceleration */
vx = ppart[2+idimp*(j+npoff)];
vy = ppart[3+idimp*(j+npoff)];
vz = ppart[4+idimp*(j+npoff)];
acx = vx + dx;
acy = vy + dy;
acz = vz + dz;
/* calculate cyclotron frequency */
omxt = qtmh*ox;
omyt = qtmh*oy;
omzt = qtmh*oz;
/* calculate rotation matrix */
omt = omxt*omxt + omyt*omyt + omzt*omzt;
anorm = 2.0/(1.0 + omt);
omt = 0.5*(1.0 - omt);
rot4 = omxt*omyt;
rot7 = omxt*omzt;
rot8 = omyt*omzt;
rot1 = omt + omxt*omxt;
rot5 = omt + omyt*omyt;
rot9 = omt + omzt*omzt;
rot2 = omzt + rot4;
rot4 -= omzt;
rot3 = -omyt + rot7;
rot7 += omyt;
rot6 = omxt + rot8;
rot8 -= omxt;
/* new velocity */
dx += (rot1*acx + rot2*acy + rot3*acz)*anorm;
dy += (rot4*acx + rot5*acy + rot6*acz)*anorm;
dz += (rot7*acx + rot8*acy + rot9*acz)*anorm;
/* deposit momentum flux, acceleration density, and current density */
amx = qm*amx;
dxp = qm*dxp;
ox = 0.5*(dx + vx);
oy = 0.5*(dy + vy);
oz = 0.5*(dz + vz);
vx = dti*(dx - vx);
vy = dti*(dy - vy);
vz = dti*(dz - vz);
dx = amx*amy;
dy = dxp*amy;
v1 = ox*ox - oy*oy;
v2 = ox*oy;
v3 = oz*ox;
v4 = oz*oy;
nn = mn;
samu[nn] += v1*dx;
samu[nn+1] += v2*dx;
samu[nn+2] += v3*dx;
samu[nn+3] += v4*dx;
dx = amx*dyp;
mm = nn + 4;
samu[mm] += v1*dy;
samu[mm+1] += v2*dy;
samu[mm+2] += v3*dy;
samu[mm+3] += v4*dy;
dy = dxp*dyp;
nn += mxv4;
samu[nn] += v1*dx;
samu[nn+1] += v2*dx;
samu[nn+2] += v3*dx;
samu[nn+3] += v4*dx;
mm = nn + 4;
samu[mm] += v1*dy;
samu[mm+1] += v2*dy;
samu[mm+2] += v3*dy;
samu[mm+3] += v4*dy;
dx = amx*amy;
dy = dxp*amy;
nn = nm;
sdcu[nn] += vx*dx;
sdcu[nn+1] += vy*dx;
sdcu[nn+2] += vz*dx;
scu[nn] += ox*dx;
scu[nn+1] += oy*dx;
scu[nn+2] += oz*dx;
dx = amx*dyp;
mm = nn + 3;
sdcu[mm] += vx*dy;
sdcu[mm+1] += vy*dy;
sdcu[mm+2] += vz*dy;
scu[mm] += ox*dy;
scu[mm+1] += oy*dy;
scu[mm+2] += oz*dy;
dy = dxp*dyp;
nn += mxv3;
sdcu[nn] += vx*dx;
sdcu[nn+1] += vy*dx;
sdcu[nn+2] += vz*dx;
scu[nn] += ox*dx;
scu[nn+1] += oy*dx;
scu[nn+2] += oz*dx;
mm = nn + 3;
sdcu[mm] += vx*dy;
sdcu[mm+1] += vy*dy;
sdcu[mm+2] += vz*dy;
scu[mm] += ox*dy;
scu[mm+1] += oy*dy;
scu[mm+2] += oz*dy;
}
/* deposit current to interior points in global array */
nn = nxv - noff;
mm = nyv - moff;
nn = mx < nn ? mx : nn;
mm = my < mm ? my : mm;
for (j = 1; j < mm; j++) {
for (i = 1; i < nn; i++) {
amu[4*(i+noff+nxv*(j+moff))] += samu[4*i+mxv4*j];
amu[1+4*(i+noff+nxv*(j+moff))] += samu[1+4*i+mxv4*j];
amu[2+4*(i+noff+nxv*(j+moff))] += samu[2+4*i+mxv4*j];
amu[3+4*(i+noff+nxv*(j+moff))] += samu[3+4*i+mxv4*j];
dcu[3*(i+noff+nxv*(j+moff))] += sdcu[3*i+mxv3*j];
dcu[1+3*(i+noff+nxv*(j+moff))] += sdcu[1+3*i+mxv3*j];
dcu[2+3*(i+noff+nxv*(j+moff))] += sdcu[2+3*i+mxv3*j];
cu[3*(i+noff+nxv*(j+moff))] += scu[3*i+mxv3*j];
cu[1+3*(i+noff+nxv*(j+moff))] += scu[1+3*i+mxv3*j];
cu[2+3*(i+noff+nxv*(j+moff))] += scu[2+3*i+mxv3*j];
}
}
/* deposit current to edge points in global array */
mm = nyv - moff;
mm = my+1 < mm ? my+1 : mm;
for (i = 1; i < nn; i++) {
#pragma omp atomic
amu[4*(i+noff+nxv*moff)] += samu[4*i];
#pragma omp atomic
amu[1+4*(i+noff+nxv*moff)] += samu[1+4*i];
#pragma omp atomic
amu[2+4*(i+noff+nxv*moff)] += samu[2+4*i];
#pragma omp atomic
amu[3+4*(i+noff+nxv*moff)] += samu[3+4*i];
#pragma omp atomic
dcu[3*(i+noff+nxv*moff)] += sdcu[3*i];
#pragma omp atomic
dcu[1+3*(i+noff+nxv*moff)] += sdcu[1+3*i];
#pragma omp atomic
dcu[2+3*(i+noff+nxv*moff)] += sdcu[2+3*i];
#pragma omp atomic
cu[3*(i+noff+nxv*moff)] += scu[3*i];
#pragma omp atomic
cu[1+3*(i+noff+nxv*moff)] += scu[1+3*i];
#pragma omp atomic
cu[2+3*(i+noff+nxv*moff)] += scu[2+3*i];
if (mm > my) {
#pragma omp atomic
amu[4*(i+noff+nxv*(mm+moff-1))] += samu[4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[1+4*(i+noff+nxv*(mm+moff-1))] += samu[1+4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[2+4*(i+noff+nxv*(mm+moff-1))] += samu[2+4*i+mxv4*(mm-1)];
#pragma omp atomic
amu[3+4*(i+noff+nxv*(mm+moff-1))] += samu[3+4*i+mxv4*(mm-1)];
#pragma omp atomic
dcu[3*(i+noff+nxv*(mm+moff-1))] += sdcu[3*i+mxv3*(mm-1)];
#pragma omp atomic
dcu[1+3*(i+noff+nxv*(mm+moff-1))] += sdcu[1+3*i+mxv3*(mm-1)];
#pragma omp atomic
dcu[2+3*(i+noff+nxv*(mm+moff-1))] += sdcu[2+3*i+mxv3*(mm-1)];
#pragma omp atomic
cu[3*(i+noff+nxv*(mm+moff-1))] += scu[3*i+mxv3*(mm-1)];
#pragma omp atomic
cu[1+3*(i+noff+nxv*(mm+moff-1))] += scu[1+3*i+mxv3*(mm-1)];
#pragma omp atomic
cu[2+3*(i+noff+nxv*(mm+moff-1))] += scu[2+3*i+mxv3*(mm-1)];
}
}
nn = nxv - noff;
nn = mx+1 < nn ? mx+1 : nn;
for (j = 0; j < mm; j++) {
#pragma omp atomic
amu[4*(noff+nxv*(j+moff))] += samu[mxv4*j];
#pragma omp atomic
amu[1+4*(noff+nxv*(j+moff))] += samu[1+mxv4*j];
#pragma omp atomic
amu[2+4*(noff+nxv*(j+moff))] += samu[2+mxv4*j];
#pragma omp atomic
amu[3+4*(noff+nxv*(j+moff))] += samu[3+mxv4*j];
#pragma omp atomic
dcu[3*(noff+nxv*(j+moff))] += sdcu[mxv3*j];
#pragma omp atomic
dcu[1+3*(noff+nxv*(j+moff))] += sdcu[1+mxv3*j];
#pragma omp atomic
dcu[2+3*(noff+nxv*(j+moff))] += sdcu[2+mxv3*j];
#pragma omp atomic
cu[3*(noff+nxv*(j+moff))] += scu[mxv3*j];
#pragma omp atomic
cu[1+3*(noff+nxv*(j+moff))] += scu[1+mxv3*j];
#pragma omp atomic
cu[2+3*(noff+nxv*(j+moff))] += scu[2+mxv3*j];
if (nn > mx) {
#pragma omp atomic
amu[4*(nn+noff-1+nxv*(j+moff))] += samu[4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[1+4*(nn+noff-1+nxv*(j+moff))] += samu[1+4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[2+4*(nn+noff-1+nxv*(j+moff))] += samu[2+4*(nn-1)+mxv4*j];
#pragma omp atomic
amu[3+4*(nn+noff-1+nxv*(j+moff))] += samu[3+4*(nn-1)+mxv4*j];
#pragma omp atomic
dcu[3*(nn+noff-1+nxv*(j+moff))] += sdcu[3*(nn-1)+mxv3*j];
#pragma omp atomic
dcu[1+3*(nn+noff-1+nxv*(j+moff))] += sdcu[1+3*(nn-1)+mxv3*j];
#pragma omp atomic
dcu[2+3*(nn+noff-1+nxv*(j+moff))] += sdcu[2+3*(nn-1)+mxv3*j];
#pragma omp atomic
cu[3*(nn+noff-1+nxv*(j+moff))] += scu[3*(nn-1)+mxv3*j];
#pragma omp atomic
cu[1+3*(nn+noff-1+nxv*(j+moff))] += scu[1+3*(nn-1)+mxv3*j];
#pragma omp atomic
cu[2+3*(nn+noff-1+nxv*(j+moff))] += scu[2+3*(nn-1)+mxv3*j];
}
}
}
return;
#undef MXV
#undef MYV
}
/*--------------------------------------------------------------------*/
void cpporder2l(float ppart[], float ppbuff[], int kpic[], int ncl[],
int ihole[], int idimp, int nppmx, int nx, int ny,
int mx, int my, int mx1, int my1, int npbmx, int ntmax,
int *irc) {
/* this subroutine sorts particles by x,y grid in tiles of mx, my
linear interpolation, with periodic boundary conditions
tiles are assumed to be arranged in 2D linear memory
algorithm has 3 steps. first, one finds particles leaving tile and
stores their number in each directon, location, and destination in ncl
and ihole. second, a prefix scan of ncl is performed and departing
particles are buffered in ppbuff in direction order. finally, we copy
the incoming particles from other tiles into ppart.
input: all except ppbuff, ncl, ihole, irc
output: ppart, ppbuff, kpic, ncl, ihole, irc
ppart[k][n][0] = position x of particle n in tile k
ppart[k][n][1] = position y of particle n in tile k
ppbuff[k][n][i] = i co-ordinate of particle n in tile k
kpic[k] = number of particles in tile k
ncl[k][i] = number of particles going to destination i, tile k
ihole[k][:][0] = location of hole in array left by departing particle
ihole[k][:][1] = direction destination of particle leaving hole
all for tile k
ihole[k][0][0] = ih, number of holes left (error, if negative)
idimp = size of phase space = 4
nppmx = maximum number of particles in tile
nx/ny = system length in x/y direction
mx/my = number of grids in sorting cell in x/y
mx1 = (system length in x direction - 1)/mx + 1
my1 = (system length in y direction - 1)/my + 1
npbmx = size of buffer array ppbuff
ntmax = size of hole array for particles leaving tiles
irc = maximum overflow, returned only if error occurs, when irc > 0
local data */
int mxy1, noff, moff, npp, ncoff;
int i, j, k, ii, kx, ky, ih, nh, ist, nn, mm, isum;
int ip, j1, j2, kxl, kxr, kk, kl, kr;
float anx, any, edgelx, edgely, edgerx, edgery, dx, dy;
int ks[8];
mxy1 = mx1*my1;
anx = (float) nx;
any = (float) ny;
/* find and count particles leaving tiles and determine destination */
/* update ppart, ihole, ncl */
/* loop over tiles */
#pragma omp parallel for \
private(j,k,noff,moff,npp,nn,mm,ih,nh,ist,dx,dy,edgelx,edgely,edgerx, \
edgery)
for (k = 0; k < mxy1; k++) {
noff = k/mx1;
moff = my*noff;
noff = mx*(k - mx1*noff);
npp = kpic[k];
nn = nx - noff;
nn = mx < nn ? mx : nn;
mm = ny - moff;
mm = my < mm ? my : mm;
ih = 0;
nh = 0;
edgelx = noff;
edgerx = noff + nn;
edgely = moff;
edgery = moff + mm;
/* clear counters */
for (j = 0; j < 8; j++) {
ncl[j+8*k] = 0;
}
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
dx = ppart[idimp*(j+nppmx*k)];
dy = ppart[1+idimp*(j+nppmx*k)];
/* find particles going out of bounds */
ist = 0;
/* count how many particles are going in each direction in ncl */
/* save their address and destination in ihole */
/* use periodic boundary conditions and check for roundoff error */
/* ist = direction particle is going */
if (dx >= edgerx) {
if (dx >= anx)
ppart[idimp*(j+nppmx*k)] = dx - anx;
ist = 2;
}
else if (dx < edgelx) {
if (dx < 0.0) {
dx += anx;
if (dx < anx)
ist = 1;
else
dx = 0.0;
ppart[idimp*(j+nppmx*k)] = dx;
}
else {
ist = 1;
}
}
if (dy >= edgery) {
if (dy >= any)
ppart[1+idimp*(j+nppmx*k)] = dy - any;
ist += 6;
}
else if (dy < edgely) {
if (dy < 0.0) {
dy += any;
if (dy < any)
ist += 3;
else
dy = 0.0;
ppart[1+idimp*(j+nppmx*k)] = dy;
}
else {
ist += 3;
}
}
if (ist > 0) {
ncl[ist+8*k-1] += 1;
ih += 1;
if (ih <= ntmax) {
ihole[2*(ih+(ntmax+1)*k)] = j + 1;
ihole[1+2*(ih+(ntmax+1)*k)] = ist;
}
else {
nh = 1;
}
}
}
/* set error and end of file flag */
if (nh > 0) {
*irc = ih;
ih = -ih;
}
ihole[2*(ntmax+1)*k] = ih;
}
/* ihole overflow */
if (*irc > 0)
return;
/* buffer particles that are leaving tile: update ppbuff, ncl */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,isum,ist,nh,ip,j1,ii)
for (k = 0; k < mxy1; k++) {
/* find address offset for ordered ppbuff array */
isum = 0;
for (j = 0; j < 8; j++) {
ist = ncl[j+8*k];
ncl[j+8*k] = isum;
isum += ist;
}
nh = ihole[2*(ntmax+1)*k];
ip = 0;
/* loop over particles leaving tile */
for (j = 0; j < nh; j++) {
/* buffer particles that are leaving tile, in direction order */
j1 = ihole[2*(j+1+(ntmax+1)*k)] - 1;
ist = ihole[1+2*(j+1+(ntmax+1)*k)];
ii = ncl[ist+8*k-1];
if (ii < npbmx) {
for (i = 0; i < idimp; i++) {
ppbuff[i+idimp*(ii+npbmx*k)]
= ppart[i+idimp*(j1+nppmx*k)];
}
}
else {
ip = 1;
}
ncl[ist+8*k-1] = ii + 1;
}
/* set error */
if (ip > 0)
*irc = ncl[7+8*k];
}
/* ppbuff overflow */
if (*irc > 0)
return;
/* copy incoming particles from buffer into ppart: update ppart, kpic */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,ii,kk,npp,kx,ky,kl,kr,kxl,kxr,ih,nh,ncoff,ist,j1,j2,ip,ks)
for (k = 0; k < mxy1; k++) {
npp = kpic[k];
ky = k/mx1;
/* loop over tiles in y, assume periodic boundary conditions */
kk = ky*mx1;
/* find tile above */
kl = ky - 1;
if (kl < 0)
kl += my1;
kl = kl*mx1;
/* find tile below */
kr = ky + 1;
if (kr >= my1)
kr -= my1;
kr = kr*mx1;
/* loop over tiles in x, assume periodic boundary conditions */
kx = k - ky*mx1;
kxl = kx - 1;
if (kxl < 0)
kxl += mx1;
kxr = kx + 1;
if (kxr >= mx1)
kxr -= mx1;
/* find tile number for different directions */
ks[0] = kxr + kk;
ks[1] = kxl + kk;
ks[2] = kx + kr;
ks[3] = kxr + kr;
ks[4] = kxl + kr;
ks[5] = kx + kl;
ks[6] = kxr + kl;
ks[7] = kxl + kl;
/* loop over directions */
nh = ihole[2*(ntmax+1)*k];
ncoff = 0;
ih = 0;
ist = 0;
j1 = 0;
for (ii = 0; ii < 8; ii++) {
if (ii > 0)
ncoff = ncl[ii-1+8*ks[ii]];
/* ip = number of particles coming from direction ii */
ip = ncl[ii+8*ks[ii]] - ncoff;
for (j = 0; j < ip; j++) {
ih += 1;
/* insert incoming particles into holes */
if (ih <= nh) {
j1 = ihole[2*(ih+(ntmax+1)*k)] - 1;
}
/* place overflow at end of array */
else {
j1 = npp;
npp += 1;
}
if (j1 < nppmx) {
for (i = 0; i < idimp; i++) {
ppart[i+idimp*(j1+nppmx*k)]
= ppbuff[i+idimp*(j+ncoff+npbmx*ks[ii])];
}
}
else {
ist = 1;
}
}
}
/* set error */
if (ist > 0)
*irc = j1+1;
/* fill up remaining holes in particle array with particles from bottom */
if (ih < nh) {
ip = nh - ih;
for (j = 0; j < ip; j++) {
j1 = npp - j - 1;
j2 = ihole[2*(nh-j+(ntmax+1)*k)] - 1;
if (j1 > j2) {
/* move particle only if it is below current hole */
for (i = 0; i < idimp; i++) {
ppart[i+idimp*(j2+nppmx*k)]
= ppart[i+idimp*(j1+nppmx*k)];
}
}
}
npp -= ip;
}
kpic[k] = npp;
}
return;
}
/*--------------------------------------------------------------------*/
void cpporderf2l(float ppart[], float ppbuff[], int kpic[], int ncl[],
int ihole[], int idimp, int nppmx, int mx1, int my1,
int npbmx, int ntmax, int *irc) {
/* this subroutine sorts particles by x,y grid in tiles of mx, my
linear interpolation, with periodic boundary conditions
tiles are assumed to be arranged in 2D linear memory
the algorithm has 2 steps. first, a prefix scan of ncl is performed
and departing particles are buffered in ppbuff in direction order.
then we copy the incoming particles from other tiles into ppart.
it assumes that the number, location, and destination of particles
leaving a tile have been previously stored in ncl and ihole by the
cgppushf2l procedure.
input: all except ppbuff, irc
output: ppart, ppbuff, kpic, ncl, irc
ppart[k][n][0] = position x of particle n in tile k
ppart[k][n][1] = position y of particle n in tile k
ppbuff[k][n][i] = i co-ordinate of particle n in tile k
kpic[k] = number of particles in tile k
ncl[k][i] = number of particles going to destination i, tile k
ihole[k][:][0] = location of hole in array left by departing particle
ihole[k][:][1] = direction destination of particle leaving hole
all for tile k
ihole[k][0][0] = ih, number of holes left (error, if negative)
idimp = size of phase space = 4
nppmx = maximum number of particles in tile
mx1 = (system length in x direction - 1)/mx + 1
my1 = (system length in y direction - 1)/my + 1
npbmx = size of buffer array ppbuff
ntmax = size of hole array for particles leaving tiles
irc = maximum overflow, returned only if error occurs, when irc > 0
local data */
int mxy1, npp, ncoff;
int i, j, k, ii, kx, ky, ih, nh, ist, isum;
int ip, j1, j2, kxl, kxr, kk, kl, kr;
int ks[8];
mxy1 = mx1*my1;
/* buffer particles that are leaving tile: update ppbuff, ncl */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,isum,ist,nh,ip,j1,ii)
for (k = 0; k < mxy1; k++) {
/* find address offset for ordered ppbuff array */
isum = 0;
for (j = 0; j < 8; j++) {
ist = ncl[j+8*k];
ncl[j+8*k] = isum;
isum += ist;
}
nh = ihole[2*(ntmax+1)*k];
ip = 0;
/* loop over particles leaving tile */
for (j = 0; j < nh; j++) {
/* buffer particles that are leaving tile, in direction order */
j1 = ihole[2*(j+1+(ntmax+1)*k)] - 1;
ist = ihole[1+2*(j+1+(ntmax+1)*k)];
ii = ncl[ist+8*k-1];
if (ii < npbmx) {
for (i = 0; i < idimp; i++) {
ppbuff[i+idimp*(ii+npbmx*k)]
= ppart[i+idimp*(j1+nppmx*k)];
}
}
else {
ip = 1;
}
ncl[ist+8*k-1] = ii + 1;
}
/* set error */
if (ip > 0)
*irc = ncl[7+8*k];
}
/* ppbuff overflow */
if (*irc > 0)
return;
/* copy incoming particles from buffer into ppart: update ppart, kpic */
/* loop over tiles */
#pragma omp parallel for \
private(i,j,k,ii,kk,npp,kx,ky,kl,kr,kxl,kxr,ih,nh,ncoff,ist,j1,j2,ip,ks)
for (k = 0; k < mxy1; k++) {
npp = kpic[k];
ky = k/mx1;
/* loop over tiles in y, assume periodic boundary conditions */
kk = ky*mx1;
/* find tile above */
kl = ky - 1;
if (kl < 0)
kl += my1;
kl = kl*mx1;
/* find tile below */
kr = ky + 1;
if (kr >= my1)
kr -= my1;
kr = kr*mx1;
/* loop over tiles in x, assume periodic boundary conditions */
kx = k - ky*mx1;
kxl = kx - 1;
if (kxl < 0)
kxl += mx1;
kxr = kx + 1;
if (kxr >= mx1)
kxr -= mx1;
/* find tile number for different directions */
ks[0] = kxr + kk;
ks[1] = kxl + kk;
ks[2] = kx + kr;
ks[3] = kxr + kr;
ks[4] = kxl + kr;
ks[5] = kx + kl;
ks[6] = kxr + kl;
ks[7] = kxl + kl;
/* loop over directions */
nh = ihole[2*(ntmax+1)*k];
ncoff = 0;
ih = 0;
ist = 0;
j1 = 0;
for (ii = 0; ii < 8; ii++) {
if (ii > 0)
ncoff = ncl[ii-1+8*ks[ii]];
/* ip = number of particles coming from direction ii */
ip = ncl[ii+8*ks[ii]] - ncoff;
for (j = 0; j < ip; j++) {
ih += 1;
/* insert incoming particles into holes */
if (ih <= nh) {
j1 = ihole[2*(ih+(ntmax+1)*k)] - 1;
}
/* place overflow at end of array */
else {
j1 = npp;
npp += 1;
}
if (j1 < nppmx) {
for (i = 0; i < idimp; i++) {
ppart[i+idimp*(j1+nppmx*k)]
= ppbuff[i+idimp*(j+ncoff+npbmx*ks[ii])];
}
}
else {
ist = 1;
}
}
}
/* set error */
if (ist > 0)
*irc = j1+1;
/* fill up remaining holes in particle array with particles from bottom */
if (ih < nh) {
ip = nh - ih;
for (j = 0; j < ip; j++) {
j1 = npp - j - 1;
j2 = ihole[2*(nh-j+(ntmax+1)*k)] - 1;
if (j1 > j2) {
/* move particle only if it is below current hole */
for (i = 0; i < idimp; i++) {
ppart[i+idimp*(j2+nppmx*k)]
= ppart[i+idimp*(j1+nppmx*k)];
}
}
}
npp -= ip;
}
kpic[k] = npp;
}
return;
}
/*--------------------------------------------------------------------*/
void cbguard2l(float bxy[], int nx, int ny, int nxe, int nye) {
/* replicate extended periodic vector field bxy
linear interpolation
nx/ny = system length in x/y direction
nxe = first dimension of field arrays, must be >= nx+1
nxe = second dimension of field arrays, must be >= ny+1
local data */
int j, k;
/* copy edges of extended field */
for (k = 0; k < ny; k++) {
bxy[3*nx+3*nxe*k] = bxy[3*nxe*k];
bxy[1+3*nx+3*nxe*k] = bxy[1+3*nxe*k];
bxy[2+3*nx+3*nxe*k] = bxy[2+3*nxe*k];
}
for (j = 0; j < nx; j++) {
bxy[3*j+3*nxe*ny] = bxy[3*j];
bxy[1+3*j+3*nxe*ny] = bxy[1+3*j];
bxy[2+3*j+3*nxe*ny] = bxy[2+3*j];
}
bxy[3*nx+3*nxe*ny] = bxy[0];
bxy[1+3*nx+3*nxe*ny] = bxy[1];
bxy[2+3*nx+3*nxe*ny] = bxy[2];
return;
}
/*--------------------------------------------------------------------*/
void cacguard2l(float cu[], int nx, int ny, int nxe, int nye) {
/* accumulate extended periodic vector field cu
linear interpolation
nx/ny = system length in x/y direction
nxe = first dimension of field arrays, must be >= nx+1
nxe = second dimension of field arrays, must be >= ny+1
local data */
int j, k;
/* accumulate edges of extended field */
for (k = 0; k < ny; k++) {
cu[3*nxe*k] += cu[3*nx+3*nxe*k];
cu[1+3*nxe*k] += cu[1+3*nx+3*nxe*k];
cu[2+3*nxe*k] += cu[2+3*nx+3*nxe*k];
cu[3*nx+3*nxe*k] = 0.0;
cu[1+3*nx+3*nxe*k] = 0.0;
cu[2+3*nx+3*nxe*k] = 0.0;
}
for (j = 0; j < nx; j++) {
cu[3*j] += cu[3*j+3*nxe*ny];
cu[1+3*j] += cu[1+3*j+3*nxe*ny];
cu[2+3*j] += cu[2+3*j+3*nxe*ny];
cu[3*j+3*nxe*ny] = 0.0;
cu[1+3*j+3*nxe*ny] = 0.0;
cu[2+3*j+3*nxe*ny] = 0.0;
}
cu[0] += cu[3*nx+3*nxe*ny];
cu[1] += cu[1+3*nx+3*nxe*ny];
cu[2] += cu[2+3*nx+3*nxe*ny];
cu[3*nx+3*nxe*ny] = 0.0;
cu[1+3*nx+3*nxe*ny] = 0.0;
cu[2+3*nx+3*nxe*ny] = 0.0;
return;
}
/*--------------------------------------------------------------------*/
void caguard2l(float q[], int nx, int ny, int nxe, int nye) {
/* accumulate extended periodic scalar field q
linear interpolation
nx/ny = system length in x/y direction
nxe = first dimension of field arrays, must be >= nx+1
nxe = second dimension of field arrays, must be >= ny+1
local data */
int j, k;
/* accumulate edges of extended field */
for (k = 0; k < ny; k++) {
q[nxe*k] += q[nx+nxe*k];
q[nx+nxe*k] = 0.0;
}
for (j = 0; j < nx; j++) {
q[j] += q[j+nxe*ny];
q[j+nxe*ny] = 0.0;
}
q[0] += q[nx+nxe*ny];
q[nx+nxe*ny] = 0.0;
return;
}
/*--------------------------------------------------------------------*/
void camcguard2l(float amu[], int nx, int ny, int nxe, int nye,
int ndim) {
/* accumulate extended periodic tensor field
linear interpolation
local data */
int i, j, k, nnxe;
nnxe = ndim*nxe;
/* accumulate edges of extended field */
for (k = 0; k < ny; k++) {
for (i = 0; i < ndim; i++) {
amu[i+nnxe*k] += amu[i+ndim*nx+nnxe*k];
amu[i+ndim*nx+nnxe*k] = 0.0;
}
}
for (j = 0; j < nx; j++) {
for (i = 0; i < ndim; i++) {
amu[i+ndim*j] += amu[i+ndim*j+nnxe*ny];
amu[i+ndim*j+nnxe*ny] = 0.0;
}
}
for (i = 0; i < ndim; i++) {
amu[i] += amu[i+ndim*nx+nnxe*ny];
amu[i+ndim*nx+nnxe*ny] = 0.0;
}
return;
}
/*--------------------------------------------------------------------*/
void cascfguard2l(float dcu[], float cus[], float q2m0, int nx, int ny,
int nxe, int nye) {
/* add scaled field to extended periodic field
local data */
int i, j, k;
#pragma omp parallel for private(i,j,k)
for (k = 0; k < ny; k++) {
for (j = 0; j < nx; j++) {
for (i = 0; i < 3; i++) {
dcu[i+3*j+3*nxe*k] -= q2m0*cus[i+3*j+3*nxe*k];
}
}
}
return;
}
/*--------------------------------------------------------------------*/
void cfwpminmx2(float qe[], float qbme, float *wpmax, float *wpmin,
int nx, int ny, int nxe, int nye) {
/* calculates maximum and minimum plasma frequency. assumes guard cells
have already been added
qe = charge density for electrons
qbme = charge/mass ratio for electrons
wpmax/wpmin = maximum/minimum plasma frequency
nx/ny = system length in x/y direction
nxe = first dimension of charge arrays, nxe must be >= nx
nye = second dimension of charge arrays, nye must be >= ny
local data */
int j, k;
float tpmax, tpmin, at1;
tpmax = qbme*qe[0];
tpmin = tpmax;
#pragma omp parallel for private(j,k)
for (k = 0; k < ny; k++) {
for (j = 0; j < nx; j++) {
at1 = qbme*qe[j+nxe*k];
#pragma omp critical
tpmax = at1 > tpmax ? at1 : tpmax;
#pragma omp critical
tpmin = at1 < tpmin ? at1 : tpmin;
}
}
*wpmax = tpmax;
*wpmin = tpmin;
return;
}
/*--------------------------------------------------------------------*/
void cmpois23(float complex q[], float complex fxy[], int isign,
float complex ffc[], float ax, float ay, float affp,
float *we, int nx, int ny, int nxvh, int nyv, int nxhd,
int nyhd) {
/* this subroutine solves 2-1/2d poisson's equation in fourier space for
force/charge (or convolution of electric field over particle shape)
with periodic boundary conditions. Zeros out z component.
for isign = 0, input: isign,ax,ay,affp,nx,ny,nxvh,nyhd, output: ffc
for isign /= 0, input: q,ffc,isign,nx,ny,nxvh,nyhd, output: fxy,we
approximate flop count is: 26*nxc*nyc + 12*(nxc + nyc)
where nxc = nx/2 - 1, nyc = ny/2 - 1
equation used is:
fx[ky][kx] = -sqrt(-1)*kx*g[ky][kx]*s[ky][kx]*q[ky][kx],
fy[ky][kx] = -sqrt(-1)*ky*g[ky][kx]*s[ky][kx]*q[ky][kx],
fz[ky][kx] = zero,
where kx = 2pi*j/nx, ky = 2pi*k/ny, and j,k = fourier mode numbers,
g[ky][kx] = (affp/(kx**2+ky**2))*s[ky][kx],
s[ky][kx] = exp(-((kx*ax)**2+(ky*ay)**2)/2), except for
fx(kx=pi) = fy(kx=pi) = fx(ky=pi) = fy(ky=pi) = 0, and
fx(kx=0,ky=0) = fy(kx=0,ky=0) = 0.
q[k][j] = complex charge density for fourier mode (j,k)
fxy[k][j][0] = x component of complex force/charge,
fxy[k][j][1] = y component of complex force/charge,
fxy[k][j][2] = zero,
all for fourier mode (j,k)
if isign = 0, form factor array is prepared
if isign is not equal to 0, force/charge is calculated
cimag(ffc[k][j]) = finite-size particle shape factor s
for fourier mode (j,k)
creal(ffc[k][j]) = potential green's function g
for fourier mode (j,k)
ax/ay = half-width of particle in x/y direction
affp = normalization constant = nx*ny/np, where np=number of particles
electric field energy is also calculated, using
we = nx*ny*sum((affp/(kx**2+ky**2))*|q[ky][kx]*s[ky][kx]|**2)
nx/ny = system length in x/y direction
nxvh = first dimension of field arrays, must be >= nxh
nyv = second dimension of field arrays, must be >= ny
nxhd = first dimension of form factor array, must be >= nxh
nyhd = second dimension of form factor array, must be >= nyh
local data */
int nxh, nyh, j, k, k1, kk, kj;
float dnx, dny, dkx, dky, at1, at2, at3, at4;
float complex zero, zt1, zt2;
double wp, sum1;
nxh = nx/2;
nyh = 1 > ny/2 ? 1 : ny/2;
dnx = 6.28318530717959/(float) nx;
dny = 6.28318530717959/(float) ny;
zero = 0.0 + 0.0*_Complex_I;
if (isign != 0)
goto L30;
/* prepare form factor array */
for (k = 0; k < nyh; k++) {
dky = dny*(float) k;
kk = nxhd*k;
at1 = dky*dky;
at2 = pow((dky*ay),2);
for (j = 0; j < nxh; j++) {
dkx = dnx*(float) j;
at3 = dkx*dkx + at1;
at4 = exp(-0.5*(pow((dkx*ax),2) + at2));
if (at3==0.0) {
ffc[j+kk] = affp + 1.0*_Complex_I;
}
else {
ffc[j+kk] = (affp*at4/at3) + at4*_Complex_I;
}
}
}
return;
/* calculate force/charge and sum field energy */
L30: sum1 = 0.0;
/* mode numbers 0 < kx < nx/2 and 0 < ky < ny/2 */
#pragma omp parallel for \
private(j,k,k1,kk,kj,dky,at1,at2,at3,zt1,zt2,wp) \
reduction(+:sum1)
for (k = 1; k < nyh; k++) {
dky = dny*(float) k;
kk = nxhd*k;
kj = nxvh*k;
k1 = nxvh*ny - kj;
wp = 0.0;
for (j = 1; j < nxh; j++) {
at1 = crealf(ffc[j+kk])*cimagf(ffc[j+kk]);
at2 = at1*dnx*(float) j;
at3 = dky*at1;
zt1 = cimagf(q[j+kj]) - crealf(q[j+kj])*_Complex_I;
zt2 = cimagf(q[j+k1]) - crealf(q[j+k1])*_Complex_I;
fxy[3*j+3*kj] = at2*zt1;
fxy[1+3*j+3*kj] = at3*zt1;
fxy[2+3*j+3*kj] = zero;
fxy[3*j+3*k1] = at2*zt2;
fxy[1+3*j+3*k1] = -at3*zt2;
fxy[2+3*j+3*k1] = zero;
wp += at1*(q[j+kj]*conjf(q[j+kj]) + q[j+k1]*conjf(q[j+k1]));
}
/* mode numbers kx = 0, nx/2 */
at1 = crealf(ffc[kk])*cimagf(ffc[kk]);
at3 = at1*dny*(float) k;
zt1 = cimagf(q[kj]) - crealf(q[kj])*_Complex_I;
fxy[3*kj] = zero;
fxy[1+3*kj] = at3*zt1;
fxy[2+3*kj] = zero;
fxy[3*k1] = zero;
fxy[1+3*k1] = zero;
fxy[2+3*k1] = zero;
wp += at1*(q[kj]*conjf(q[kj]));
sum1 += wp;
}
wp = 0.0;
/* mode numbers ky = 0, ny/2 */
k1 = 3*nxvh*nyh;
for (j = 1; j < nxh; j++) {
at1 = crealf(ffc[j])*cimagf(ffc[j]);
at2 = at1*dnx*(float) j;
zt1 = cimagf(q[j]) - crealf(q[j])*_Complex_I;
fxy[3*j] = at2*zt1;
fxy[1+3*j] = zero;
fxy[2+3*j] = zero;
fxy[3*j+k1] = zero;
fxy[1+3*j+k1] = zero;
fxy[2+3*j+k1] = zero;
wp += at1*(q[j]*conjf(q[j]));
}
fxy[0] = zero;
fxy[1] = zero;
fxy[2] = zero;
fxy[k1] = zero;
fxy[1+k1] = zero;
fxy[2+k1] = zero;
sum1 += wp;
*we = sum1*(float) (nx*ny);
return;
}
/*--------------------------------------------------------------------*/
void cmcuperp2(float complex cu[], int nx, int ny, int nxvh, int nyv) {
/* this subroutine calculates the transverse current in fourier space
input: all, output: cu
approximate flop count is: 36*nxc*nyc
and nxc*nyc divides
where nxc = nx/2 - 1, nyc = ny/2 - 1
the transverse current is calculated using the equation:
cux[ky][kx] = cux[ky][kx]
-kx*(kx*cux[ky][kx]+ky*cuy[ky][kx])/(kx*kx+ky*ky)
cuy[ky][kx] = cuy[ky][kx]
-ky*(kx*cux[ky][kx]+ky*cuy[ky][kx])/(kx*kx+ky*ky)
where kx = 2pi*j/nx, ky = 2pi*k/ny, and j,k = fourier mode numbers,
except for cux(kx=pi) = cuy(kx=pi) = 0, cux(ky=pi) = cuy(ky=pi) = 0,
and cux(kx=0,ky=0) = cuy(kx=0,ky=0) = 0.
cu[k][j][i] = complex current density for fourier mode (j,k)
nx/ny = system length in x/y direction
nxvh = first dimension of current array, must be >= nxh
nyv = second dimension of current array, must be >= ny
local data */
int nxh, nyh, j, k, k1, kj;
float dnx, dny, dkx, dky, dky2, at1;
float complex zero, zt1;
nxh = nx/2;
nyh = 1 > ny/2 ? 1 : ny/2;
dnx = 6.28318530717959/(float) nx;
dny = 6.28318530717959/(float) ny;
zero = 0.0 + 0.0*_Complex_I;
/* calculate transverse part of current */
/* mode numbers 0 < kx < nx/2 and 0 < ky < ny/2 */
#pragma omp parallel for private(j,k,k1,kj,dky,dky2,dkx,at1,zt1)
for (k = 1; k < nyh; k++) {
dky = dny*(float) k;
dky2 = dky*dky;
kj = nxvh*k;
k1 = nxvh*ny - kj;
for (j = 1; j < nxh; j++) {
dkx = dnx*(float) j;
at1 = 1./(dkx*dkx + dky2);
zt1 = at1*(dkx*cu[3*j+3*kj] + dky*cu[1+3*j+3*kj]);
cu[3*j+3*kj] -= dkx*zt1;
cu[1+3*j+3*kj] -= dky*zt1;
zt1 = at1*(dkx*cu[3*j+3*k1] - dky*cu[1+3*j+3*k1]);
cu[3*j+3*k1] -= dkx*zt1;
cu[1+3*j+3*k1] += dky*zt1;
}
/* mode numbers kx = 0, nx/2 */
cu[1+3*kj] = zero;
cu[3*k1] = zero;
cu[1+3*k1] = zero;
}
/* mode numbers ky = 0, ny/2 */
k1 = 3*nxvh*nyh;
for (j = 1; j < nxh; j++) {
cu[3*j] = zero;
cu[3*j+k1] = zero;
cu[1+3*j+k1] = zero;
}
cu[0] = zero;
cu[1] = zero;
cu[k1] = zero;
cu[1+k1] = zero;
return;
}
/*--------------------------------------------------------------------*/
void cmbbpois23(float complex cu[], float complex bxy[],
float complex ffc[], float ci, float *wm, int nx,
int ny, int nxvh, int nyv, int nxhd, int nyhd) {
/* this subroutine solves 2-1/2d poisson's equation in fourier space for
magnetic field (or convolution of magnetic field over particle shape)
with periodic boundary conditions.
input: cu,ffc,ci,nx,ny,nxv,nyhd, output: bxy,wm
approximate flop count is: 90*nxc*nyc + 40*(nxc + nyc)
where nxc = nx/2 - 1, nyc = ny/2 - 1
the magnetic field is calculated using the equations:
bx[ky][kx] = ci*ci*sqrt(-1)*g[ky][kx]*ky*cuz[ky][kx]*s[ky][kx],
by[ky][kx] = -ci*ci*sqrt(-1)*g[ky][kx]*kx*cuz[ky][kx]*s[ky][kx],
bz[ky][kx] = ci*ci*sqrt(-1)*g[ky][kx]*(kx*cuy[ky][kx]-ky*cux[ky][kx])*
s[ky][kx],
where kx = 2pi*j/nx, ky = 2pi*k/ny, and j,k = fourier mode numbers,
g[ky][kx] = (affp/(kx**2+ky**2))*s[ky][kx],
s[ky][kx] = exp(-((kx*ax)**2+(ky*ay)**2)/2), except for
bx(kx=pi) = by(kx=pi) = bz(kx=pi) = bx(ky=pi) = by(ky=pi) = bz(ky=pi)
= 0, and bx(kx=0,ky=0) = by(kx=0,ky=0) = bz(kx=0,ky=0) = 0.
cu[k][j][i] = complex current density for fourier mode (j,k)
bxy[k][j][0] = x component of complex magnetic field
bxy[k][j][1] = y component of complex magnetic field
bxy[k][j][2] = z component of complex magnetic field
all for fourier mode (j,k)
cimag(ffc[k][j]) = finite-size particle shape factor s
for fourier mode (j,k)
creal(ffc[k][j]) = potential green's function g
for fourier mode (j,k)
ci = reciprocal of velocity of light
magnetic field energy is also calculated, using
wm = nx*ny*sum((affp/(kx**2+ky**2))*ci*ci*
|cu[ky][kx]*s[ky][kx]|**2), where
affp = normalization constant = nx*ny/np, where np=number of particles
this expression is valid only if the current is divergence-free
nx/ny = system length in x/y direction
nxvh = first dimension of field arrays, must be >= nxh
nyv = second dimension of field arrays, must be >= ny
nxhd = first dimension of form factor array, must be >= nxh
nyhd = second dimension of form factor array, must be >= nyh
local data */
int nxh, nyh, j, k, k1, kk, kj;
float dnx, dny, dky, ci2, at1, at2, at3;
float complex zero, zt1, zt2, zt3;
double wp, sum1;
nxh = nx/2;
nyh = 1 > ny/2 ? 1 : ny/2;
dnx = 6.28318530717959/(float) nx;
dny = 6.28318530717959/(float) ny;
zero = 0.0 + 0.0*_Complex_I;
ci2 = ci*ci;
/* calculate smoothed magnetic field and sum field energy */
sum1 = 0.0;
/* mode numbers 0 < kx < nx/2 and 0 < ky < ny/2 */
#pragma omp parallel for \
private(j,k,k1,kk,kj,dky,at1,at2,at3,zt1,zt2,zt3,wp) \
reduction(+:sum1)
for (k = 1; k < nyh; k++) {
dky = dny*(float) k;
kk = nxhd*k;
kj = nxvh*k;
k1 = nxvh*ny - kj;
wp = 0.0;
for (j = 1; j < nxh; j++) {
at1 = ci2*crealf(ffc[j+kk])*cimagf(ffc[j+kk]);
at2 = at1*dnx*(float) j;
at3 = dky*at1;
zt1 = -cimagf(cu[2+3*j+3*kj])
+ crealf(cu[2+3*j+3*kj])*_Complex_I;
zt2 = -cimagf(cu[1+3*j+3*kj])
+ crealf(cu[1+3*j+3*kj])*_Complex_I;
zt3 = -cimagf(cu[3*j+3*kj]) + crealf(cu[3*j+3*kj])*_Complex_I;
bxy[3*j+3*kj] = at3*zt1;
bxy[1+3*j+3*kj] = -at2*zt1;
bxy[2+3*j+3*kj] = at2*zt2 - at3*zt3;
zt1 = -cimagf(cu[2+3*j+3*k1])
+ crealf(cu[2+3*j+3*k1])*_Complex_I;
zt2 = -cimagf(cu[1+3*j+3*k1])
+ crealf(cu[1+3*j+3*k1])*_Complex_I;
zt3 = -cimagf(cu[3*j+3*k1]) + crealf(cu[3*j+3*k1])*_Complex_I;
bxy[3*j+3*k1] = -at3*zt1;
bxy[1+3*j+3*k1] = -at2*zt1;
bxy[2+3*j+3*k1] = at2*zt2 + at3*zt3;
wp += at1*(cu[3*j+3*kj]*conjf(cu[3*j+3*kj])
+ cu[1+3*j+3*kj]*conjf(cu[1+3*j+3*kj])
+ cu[2+3*j+3*kj]*conjf(cu[2+3*j+3*kj])
+ cu[3*j+3*k1]*conjf(cu[3*j+3*k1])
+ cu[1+3*j+3*k1]*conjf(cu[1+3*j+3*k1])
+ cu[2+3*j+3*k1]*conjf(cu[2+3*j+3*k1]));
}
/* mode numbers kx = 0, nx/2 */
kk = nxhd*k;
kj = nxvh*k;
k1 = nxvh*ny - kj;
at1 = ci2*crealf(ffc[kk])*cimagf(ffc[kk]);
at3 = at1*dny*(float) k;
zt1 = -cimagf(cu[2+3*kj]) + crealf(cu[2+3*kj])*_Complex_I;
zt3 = -cimagf(cu[3*kj]) + crealf(cu[3*kj])*_Complex_I;
bxy[3*kj] = at3*zt1;
bxy[1+3*kj] = zero;
bxy[2+3*kj] = -at3*zt3;
bxy[3*k1] = zero;
bxy[1+3*k1] = zero;
bxy[2+3*k1] = zero;
wp += at1*(cu[3*kj]*conjf(cu[3*kj]) + cu[1+3*kj]*conjf(cu[1+3*kj])
+ cu[2+3*kj]*conjf(cu[2+3*kj]));
sum1 += wp;
}
wp = 0.0;
/* mode numbers ky = 0, ny/2 */
k1 = 3*nxvh*nyh;
for (j = 1; j < nxh; j++) {
at1 = ci2*crealf(ffc[j])*cimagf(ffc[j]);
at2 = at1*dnx*(float) j;
zt1 = -cimagf(cu[2+3*j]) + crealf(cu[2+3*j])*_Complex_I;
zt2 = -cimagf(cu[1+3*j]) + crealf(cu[1+3*j])*_Complex_I;
bxy[3*j] = zero;
bxy[1+3*j] = -at2*zt1;
bxy[2+3*j] = at2*zt2;
bxy[3*j+k1] = zero;
bxy[1+3*j+k1] = zero;
bxy[2+3*j+k1] = zero;
wp += at1*(cu[3*j]*conjf(cu[3*j]) + cu[1+3*j]*conjf(cu[1+3*j])
+ cu[2+3*j]*conjf(cu[2+3*j]));
}
bxy[0] = zero;
bxy[1] = zero;
bxy[2] = zero;
bxy[k1] = zero;
bxy[1+k1] = zero;
bxy[2+k1] = zero;
sum1 += wp;
*wm = sum1*(float) (nx*ny);
return;
}
/*--------------------------------------------------------------------*/
void cbaddext2(float bxy[], float omx, float omy, float omz, int nx,
int ny, int nxe, int nye) {
/* adds constant to magnetic field for 2-1/2d code
bxy = magnetic field
omx/omy/omz = magnetic field electron cyclotron frequency in x/y/z
nx/ny = system length in x/y direction
nxe = second dimension of magnetic field array, nxe must be >= nx
nye = third dimension of magnetic field array, nye must be >= ny
local data */
int j, k;
#pragma omp parallel for private(j,k)
for (k = 0; k < ny; k++) {
for (j = 0; j < nx; j++) {
bxy[3*j+3*nxe*k] += omx;
bxy[1+3*j+3*nxe*k] += omy;
bxy[2+3*j+3*nxe*k] += omz;
}
}
return;
}
/*--------------------------------------------------------------------*/
void cmdcuperp23(float complex dcu[], float complex amu[], int nx,
int ny, int nxvh, int nyv) {
/* this subroutine calculates transverse part of the derivative of
the current density from the momentum flux
in 2-1/2d with periodic boundary conditions.
the derivative of the current is calculated using the equations:
dcu[ky][kx][0] = -sqrt(-1)*(kx*vx*vx+ky*vx*vy)
dcu[ky][kx][1] = -sqrt(-1)*(kx*vx*vy+ky*vy*vy)
dcu[ky][kx][2] = -sqrt(-1)*(kx*vx*vz+ky*vy*vz)
where kx = 2pi*j/nx, ky = 2pi*k/ny, and j,k = fourier mode numbers,
except for dcu(i,kx=pi) = dcu(i,ky=pi) = dcu(i,kx=0,ky=0) = 0.
the transverse part is calculated using the equation:
dcu[ky][kx][0] = dcu[ky][kx][0]-kx*(kx*dcu[ky][kx][0]
+ ky*dcu[ky][kx][1])/(kx*kx+ky*ky)
dcu[ky][kx][1] = dcu[ky][kx][1]-ky*(kx*dcu[ky][kx][1]
+ ky*dcu[ky][kx][1])/(kx*kx+ky*ky)
on output:
dcu[k][j][i] = transverse part of complex derivative of current for
fourier mode (j-1,k-1)
amu[k][j][0] = xx-yy component of complex momentum flux
amu[k][j][1] = xy component of complex momentum flux
amu[k][j][2] = zx component of complex momentum flux
amu[k][j][3] = zy component of complex momentum flux
all for fourier mode (j-1,k-1)
nx/ny = system length in x/y direction
nxvh = second dimension of field arrays, must be >= nxh
nyv = third dimension of field arrays, must be >= ny
local data */
int nxh, nyh, j, k, k1, kj;
float dnx, dny, dky, dky2, dkx, dkx2, dkxy, dkxy2, at1;
float complex zero, zt1, zt2, zt3;
nxh = nx/2;
nyh = 1 > ny/2 ? 1 : ny/2;
dnx = 6.28318530717959/(float) nx;
dny = 6.28318530717959/(float) ny;
zero = 0.0 + 0.0*_Complex_I;
/* mode numbers 0 < kx < nx/2 and 0 < ky < ny/2 */
#pragma omp parallel for \
private(j,k,k1,kj,dky,dky2,dkx,dkx2,dkxy,dkxy2,at1,zt1,zt2,zt3)
for (k = 1; k < nyh; k++) {
dky = dny*(float) k;
dky2 = dky*dky;
kj = nxvh*k;
k1 = nxvh*ny - kj;
for (j = 1; j < nxh; j++) {
dkx = dnx*(float) j;
dkx2 = dkx*dkx;
dkxy = dkx*dky;
dkxy2 = dky2 - dkx2;
at1 = 1.0/(dkx2 + dky2);
zt1 = cimagf(amu[4*j+4*kj]) - crealf(amu[4*j+4*kj])*_Complex_I;
zt2 = cimagf(amu[1+4*j+4*kj])
- crealf(amu[1+4*j+4*kj])*_Complex_I;
zt3 = at1*(dkxy*zt1 + dkxy2*zt2);
dcu[3*j+3*kj] = dky*zt3;
dcu[1+3*j+3*kj] = -dkx*zt3;
zt1 = cimagf(amu[2+4*j+4*kj])
- crealf(amu[2+4*j+4*kj])*_Complex_I;
zt2 = cimagf(amu[3+4*j+4*kj])
- crealf(amu[3+4*j+4*kj])*_Complex_I;
dcu[2+3*j+3*kj] = dkx*zt1 + dky*zt2;
zt1 = cimagf(amu[4*j+4*k1]) - crealf(amu[4*j+4*k1])*_Complex_I;
zt2 = cimagf(amu[1+4*j+4*k1])
- crealf(amu[1+4*j+4*k1])*_Complex_I;
zt3 = at1*(dkxy*zt1 - dkxy2*zt2);
dcu[3*j+3*k1] = dky*zt3;
dcu[1+3*j+3*k1] = dkx*zt3;
zt1 = cimagf(amu[2+4*j+4*k1])
- crealf(amu[2+4*j+4*k1])*_Complex_I;
zt2 = cimagf(amu[3+4*j+4*k1])
- crealf(amu[3+4*j+4*k1])*_Complex_I;
dcu[2+3*j+3*k1] = dkx*zt1 - dky*zt2;
}
/* mode numbers kx = 0, nx/2 */
zt2 = cimagf(amu[1+4*kj]) - crealf(amu[1+4*kj])*_Complex_I;
dcu[3*kj] = dky*zt2;
dcu[1+3*kj] = zero;
zt2 = cimagf(amu[3+4*kj]) - crealf(amu[3+4*kj])*_Complex_I;
dcu[2+3*kj] = dky*zt2;
dcu[3*k1] = zero;
dcu[1+3*k1] = zero;
dcu[2+3*k1] = zero;
}
/* mode numbers ky = 0, ny/2 */
k1 = 3*nxvh*nyh;
for (j = 1; j < nxh; j++) {
dkx = dnx*(float) j;
zt2 = cimagf(amu[1+4*j]) - crealf(amu[1+4*j])*_Complex_I;
dcu[3*j] = zero;
dcu[1+3*j] = dkx*zt2;
zt1 = cimagf(amu[2+4*j]) - crealf(amu[2+4*j])*_Complex_I;
dcu[2+3*j] = dkx*zt1;
dcu[3*j+k1] = zero;
dcu[1+3*j+k1] = zero;
dcu[2+3*j+k1] = zero;
}
dcu[0] = zero;
dcu[1] = zero;
dcu[2] = zero;
dcu[k1] = zero;
dcu[1+k1] = zero;
dcu[2+k1] = zero;
return;
}
/*--------------------------------------------------------------------*/
void cmadcuperp23(float complex dcu[], float complex amu[], int nx,
int ny, int nxvh, int nyv) {
/* this subroutine calculates transverse part of the derivative of
the current density from the momentum flux and acceleration density
in 2-1/2d with periodic boundary conditions.
the derivative of the current is calculated using the equations:
dcu[ky][kx][0] = dcu[ky][kx][0]-sqrt(-1)*(kx*vx*vx+ky*vx*vy)
dcu[ky][kx][1] = dcu[ky][kx][1]-sqrt(-1)*(kx*vx*vy+ky*vy*vy)
dcu[ky][kx][2] = dcu[ky][kx][2]-sqrt(-1)*(kx*vx*vz+ky*vy*vz)
where kx = 2pi*j/nx, ky = 2pi*k/ny, and j,k = fourier mode numbers,
except for dcu(i,kx=pi) = dcu(i,ky=pi) = dcu(i,kx=0,ky=0) = 0.
the transverse part is calculated using the equation:
dcu[ky][kx][0] = dcu[ky][kx][0]-kx*(kx*dcu[ky][kx][0]
+ ky*dcu[ky][kx][1])/(kx*kx+ky*ky)
dcu[ky][kx][1] = dcu[ky][kx][1]-ky*(kx*dcu[ky][kx][0]
+ ky*dcu[ky][kx][1])/(kx*kx+ky*ky)
on input:
dcu[k][j][i] = complex acceleration density for fourier mode (j-1,k-1)
on output:
dcu[k][j][i] = transverse part of complex derivative of current for
fourier mode (j-1,k-1)
amu[k][j][0] = xx-yy component of complex momentum flux
amu[k][j][1] = xy component of complex momentum flux
amu[k][j][2] = zx component of complex momentum flux
amu[k][j][3] = zy component of complex momentum flux
all for fourier mode (j-1,k-1)
nx/ny = system length in x/y direction
nxvh = second dimension of field arrays, must be >= nxh
nyv = third dimension of field arrays, must be >= ny
local data */
int nxh, nyh, j, k, k1, kj;
float dnx, dny, dky, dky2, dkx, dkx2, dkxy, dkxy2, at1;
float complex zero, zt1, zt2, zt3;
nxh = nx/2;
nyh = 1 > ny/2 ? 1 : ny/2;
dnx = 6.28318530717959/(float) nx;
dny = 6.28318530717959/(float) ny;
zero = 0.0 + 0.0*_Complex_I;
/* mode numbers 0 < kx < nx/2 and 0 < ky < ny/2 */
#pragma omp parallel for \
private(j,k,k1,kj,dky,dky2,dkx,dkx2,dkxy,dkxy2,at1,zt1,zt2,zt3)
for (k = 1; k < nyh; k++) {
dky = dny*(float) k;
dky2 = dky*dky;
kj = nxvh*k;
k1 = nxvh*ny - kj;
for (j = 1; j < nxh; j++) {
dkx = dnx*(float) j;
dkx2 = dkx*dkx;
dkxy = dkx*dky;
dkxy2 = dky2 - dkx2;
at1 = 1.0/(dkx2 + dky2);
zt1 = cimagf(amu[4*j+4*kj]) - crealf(amu[4*j+4*kj])*_Complex_I;
zt2 = cimagf(amu[1+4*j+4*kj])
- crealf(amu[1+4*j+4*kj])*_Complex_I;
zt3 = at1*(dky*dcu[3*j+3*kj] - dkx*dcu[1+3*j+3*kj] + dkxy*zt1
+ dkxy2*zt2);
dcu[3*j+3*kj] = dky*zt3;
dcu[1+3*j+3*kj] = -dkx*zt3;
zt1 = cimagf(amu[2+4*j+4*kj])
- crealf(amu[2+4*j+4*kj])*_Complex_I;
zt2 = cimagf(amu[3+4*j+4*kj])
- crealf(amu[3+4*j+4*kj])*_Complex_I;
dcu[2+3*j+3*kj] += dkx*zt1 + dky*zt2;
zt1 = cimagf(amu[4*j+4*k1]) - crealf(amu[4*j+4*k1])*_Complex_I;
zt2 = cimagf(amu[1+4*j+4*k1])
- crealf(amu[1+4*j+4*k1])*_Complex_I;
zt3 = at1*(dky*dcu[3*j+3*k1] + dkx*dcu[1+3*j+3*k1] + dkxy*zt1
- dkxy2*zt2);
dcu[3*j+3*k1] = dky*zt3;
dcu[1+3*j+3*k1] = dkx*zt3;
zt1 = cimagf(amu[2+4*j+4*k1])
- crealf(amu[2+4*j+4*k1])*_Complex_I;
zt2 = cimagf(amu[3+4*j+4*k1])
- crealf(amu[3+4*j+4*k1])*_Complex_I;
dcu[2+3*j+3*k1] += dkx*zt1 - dky*zt2;
}
/* mode numbers kx = 0, nx/2 */
zt2 = cimagf(amu[1+4*kj]) - crealf(amu[1+4*kj])*_Complex_I;
dcu[3*kj] += dky*zt2;
dcu[1+3*kj] = zero;
zt2 = cimagf(amu[3+4*kj]) - crealf(amu[3+4*kj])*_Complex_I;
dcu[2+3*kj] += dky*zt2;
dcu[3*k1] = zero;
dcu[1+3*k1] = zero;
dcu[2+3*k1] = zero;
}
/* mode numbers ky = 0, ny/2 */
k1 = 3*nxvh*nyh;
for (j = 1; j < nxh; j++) {
dkx = dnx*(float) j;
zt2 = cimagf(amu[1+4*j]) - crealf(amu[1+4*j])*_Complex_I;
dcu[3*j] = zero;
dcu[1+3*j] += dkx*zt2;
zt1 = cimagf(amu[2+4*j]) - crealf(amu[2+4*j])*_Complex_I;
dcu[2+3*j] += dkx*zt1;
dcu[3*j+k1] = zero;
dcu[1+3*j+k1] = zero;
dcu[2+3*j+k1] = zero;
}
dcu[0] = zero;
dcu[1] = zero;
dcu[k1] = zero;
dcu[1+k1] = zero;
dcu[2+k1] = zero;
return;
}
/*--------------------------------------------------------------------*/
void cmepois23(float complex dcu[], float complex exy[], int isign,
float complex ffe[], float ax, float ay, float affp,
float wp0, float ci, float *wf, int nx, int ny, int nxvh,
int nyv, int nxhd, int nyhd) {
/* this subroutine solves 2-1/2d poisson's equation in fourier space for
transverse electric field (or convolution of transverse electric field
over particle shape), with periodic boundary conditions.
using algorithm described in J. Busnardo-Neto, P. L. Pritchett,
A. T. Lin, and J. M. Dawson, J. Computational Phys. 23, 300 (1977).
for isign = 0, input: isign,ax,ay,affp,wp0,nx,ny,nxvh,nyhd, output:ffe
for isign /= 0, input: dcu,ffe,isign,ci,nx,ny,nxvh,nyv,nxhd,nyhd,
output: exy,wf
approximate flop count is: 68*nxc*nyc + 33*(nxc + nyc)
where nxc = nx/2 - 1, nyc = ny/2 - 1
if isign = 0, form factor array is prepared
if isign = -1, smoothed transverse electric field is calculated
using the equation:
ex[ky][kx] = -ci*ci*g[ky][kx]*dcux[ky][kx]*s[ky][kx]
ey[ky][kx] = -ci*ci*g[ky][kx]*dcuy[ky][kx]*s[ky][kx]
ez[ky][kx] = -ci*ci*g[ky][kx]*dcuz[ky][kx]*s[ky][kx]
where kx = 2pi*j/nx, ky = 2pi*k/ny, and j,k = fourier mode numbers,
g[ky][kx] = (affp/(kx**2+ky**2+wp0*ci2*s[ky][kx]**2))*s[ky][kx],
s[ky][kx] = exp(-((kx*ax)**2+(ky*ay)**2)/2), except for
ex(kx=pi) = ey(kx=pi) = ez(kx=pi) = ex(ky=pi) = ey(ky=pi) = ez(ky=pi)
= 0, and ex(kx=0,ky=0) = ey(kx=0,ky=0) = ez(kx=0,ky=0) = 0.
if isign = 1, unsmoothed transverse electric field is calculated
using the equation:
ex[ky][kx] = -ci*ci*g[ky][kx]*dcux([ky][kx]
ey[ky][kx] = -ci*ci*g[ky][kx]*dcuy[ky][kx]
ez[ky][kx] = -ci*ci*g[ky][kx]*dcuz[ky][kx]
dcu(i,j,k) = transverse part of complex derivative of current for
fourier mode (j-1,k-1)
exy[ky][kx][0] = x component of complex transverse electric field
exy[ky][kx][1] = y component of complex transverse electric field
exy[ky][kx][2] = z component of complex transverse electric field
all for fourier mode (j-1,k-1)
cimagf(ffe[ky][kx]) = finite-size particle shape factor s
for fourier mode (j-1,k-1)
crealf(ffe[ky][kx]) = potential green's function g
for fourier mode (j-1,k-1)
ax/ay = half-width of particle in x/y direction
affp = normalization constant = nx*ny/np, where np=number of particles
wp0 = normalized total plasma frequency squared
ci = reciprocal of velocity of light
transverse electric field energy is also calculated, using
wf = nx*ny*sum((affp/((kx**2+ky**2)*ci*ci)**2)
|dcu(kx,ky)*s[ky][kx]|**2)
this expression is valid only if the derivative of current is
divergence-free
nx/ny = system length in x/y direction
nxvh = first dimension of field arrays, must be >= nxh
nyv = second dimension of field arrays, must be >= ny
nxhd = first dimension of form factor array, must be >= nxh
nyhd = second dimension of form factor array, must be >= nyh
local data */
int nxh, nyh, j, k, k1, kk, kj;
float dnx, dny, ci2, wpc, dkx, dky, at1, at2, at3, at4;
float complex zero;
double wp, sum1;
nxh = nx/2;
nyh = 1 > ny/2 ? 1 : ny/2;
dnx = 6.28318530717959/(float) nx;
dny = 6.28318530717959/(float) ny;
zero = 0.0 + 0.0*_Complex_I;
ci2 = ci*ci;
if (isign != 0)
goto L30;
wpc = wp0*ci2;
/* prepare form factor array */
for (k = 0; k < nyh; k++) {
dky = dny*(float) k;
kk = nxhd*k;
at1 = dky*dky;
at2 = pow((dky*ay),2);
for (j = 0; j < nxh; j++) {
dkx = dnx*(float) j;
at3 = dkx*dkx + at1;
at4 = exp(-0.5*(pow((dkx*ax),2) + at2));
if (at3==0.0) {
ffe[j+kk] = affp + 1.0*_Complex_I;
}
else {
ffe[j+kk] = (affp*at4/(at3 + wpc*at4*at4)) + at4*_Complex_I;
}
}
}
return;
/* calculate smoothed transverse electric field and sum field energy */
L30: if (isign > 0)
goto L70;
sum1 = 0.0;
/* mode numbers 0 < kx < nx/2 and 0 < ky < ny/2 */
#pragma omp parallel for private(j,k,k1,kk,kj,at1,at2,wp) \
reduction(+:sum1)
for (k = 1; k < nyh; k++) {
dky = dny*(float) k;
kk = nxhd*k;
kj = nxvh*k;
k1 = nxvh*ny - kj;
wp = 0.0;
for (j = 1; j < nxh; j++) {
at2 = -ci2*crealf(ffe[j+kk]);
at1 = at2*cimagf(ffe[j+kk]);
at2 = at2*at2;
exy[3*j+3*kj] = at1*dcu[3*j+3*kj];
exy[1+3*j+3*kj] = at1*dcu[1+3*j+3*kj];
exy[2+3*j+3*kj] = at1*dcu[2+3*j+3*kj];
exy[3*j+3*k1] = at1*dcu[3*j+3*k1];
exy[1+3*j+3*k1] = at1*dcu[1+3*j+3*k1];
exy[2+3*j+3*k1] = at1*dcu[2+3*j+3*k1];
wp += at2*(dcu[3*j+3*kj]*conjf(dcu[3*j+3*kj])
+ dcu[1+3*j+3*kj]*conjf(dcu[1+3*j+3*kj])
+ dcu[2+3*j+3*kj]*conjf(dcu[2+3*j+3*kj])
+ dcu[3*j+3*k1]*conjf(dcu[3*j+3*k1])
+ dcu[1+3*j+3*k1]*conjf(dcu[1+3*j+3*k1])
+ dcu[2+3*j+3*k1]*conjf(dcu[2+3*j+3*k1]));
}
/* mode numbers kx = 0, nx/2 */
at2 = -ci2*crealf(ffe[kk]);
at1 = at2*cimagf(ffe[kk]);
at2 = at2*at2;
exy[3*kj] = at1*dcu[3*kj];
exy[1+3*kj] = at1*dcu[1+3*kj];
exy[2+3*kj] = at1*dcu[2+3*kj];
exy[3*k1] = zero;
exy[1+3*k1] = zero;
exy[2+3*k1] = zero;
wp += at2*(dcu[3*kj]*conjf(dcu[3*kj])
+ dcu[1+3*kj]*conjf(dcu[1+3*kj])
+ dcu[2+3*kj]*conjf(dcu[2+3*kj]));
sum1 += wp;
}
wp = 0.0;
/* mode numbers ky = 0, ny/2 */
k1 = 3*nxvh*nyh;
for (j = 1; j < nxh; j++) {
at2 = -ci2*crealf(ffe[j]);
at1 = at2*cimagf(ffe[j]);
at2 = at2*at2;
exy[3*j] = at1*dcu[3*j];
exy[1+3*j] = at1*dcu[1+3*j];
exy[2+3*j] = at1*dcu[2+3*j];
exy[3*j+k1] = zero;
exy[1+3*j+k1] = zero;
exy[2+3*j+k1] = zero;
wp += at2*(dcu[3*j]*conjf(dcu[3*j]) + dcu[1+3*j]*conjf(dcu[1+3*j])
+ dcu[2+3*j]*conjf(dcu[2+3*j]));
}
exy[0] = zero;
exy[1] = zero;
exy[2] = zero;
exy[k1] = zero;
exy[1+k1] = zero;
exy[2+k1] = zero;
sum1 += wp;
*wf = (sum1*(float) (nx*ny))/crealf(ffe[0]);
return;
/* calculate unsmoothed transverse electric field and sum field energy */
L70: sum1 = 0.0;
/* mode numbers 0 < kx < nx/2 and 0 < ky < ny/2 */
#pragma omp parallel for private(j,k,k1,kk,kj,at1,at2,wp) \
reduction(+:sum1)
for (k = 1; k < nyh; k++) {
dky = dny*(float) k;
kk = nxhd*k;
kj = nxvh*k;
k1 = nxvh*ny - kj;
wp = 0.0;
for (j = 1; j < nxh; j++) {
at2 = -ci2*crealf(ffe[j+kk]);
at1 = at2*at2;
exy[3*j+3*kj] = at2*dcu[3*j+3*kj];
exy[1+3*j+3*kj] = at2*dcu[1+3*j+3*kj];
exy[2+3*j+3*kj] = at2*dcu[2+3*j+3*kj];
exy[3*j+3*k1] = at2*dcu[3*j+3*k1];
exy[1+3*j+3*k1] = at2*dcu[1+3*j+3*k1];
exy[2+3*j+3*k1] = at2*dcu[2+3*j+3*k1];
wp += at1*(dcu[3*j+3*kj]*conjf(dcu[3*j+3*kj])
+ dcu[1+3*j+3*kj]*conjf(dcu[1+3*j+3*kj])
+ dcu[2+3*j+3*kj]*conjf(dcu[2+3*j+3*kj])
+ dcu[3*j+3*k1]*conjf(dcu[3*j+3*k1])
+ dcu[1+3*j+3*k1]*conjf(dcu[1+3*j+3*k1])
+ dcu[2+3*j+3*k1]*conjf(dcu[2+3*j+3*k1]));
}
/* mode numbers kx = 0, nx/2 */
at2 = -ci2*crealf(ffe[kk]);
at1 = at2*at2;
exy[3*kj] = at2*dcu[3*kj];
exy[1+3*kj] = at2*dcu[1+3*kj];
exy[2+3*kj] = at2*dcu[2+3*kj];
exy[3*k1] = zero;
exy[1+3*k1] = zero;
exy[2+3*k1] = zero;
wp += at1*(dcu[3*kj]*conjf(dcu[3*kj])
+ dcu[1+3*kj]*conjf(dcu[1+3*kj])
+ dcu[2+3*kj]*conjf(dcu[2+3*kj]));
sum1 += wp;
}
wp = 0.0;
/* mode numbers ky = 0, ny/2 */
k1 = 3*nxvh*nyh;
for (j = 1; j < nxh; j++) {
at2 = -ci2*crealf(ffe[j]);
at1 = at2*at2;
exy[3*j] = at2*dcu[3*j];
exy[1+3*j] = at2*dcu[1+3*j];
exy[2+3*j] = at2*dcu[2+3*j];
exy[3*j+k1] = zero;
exy[1+3*j+k1] = zero;
exy[2+3*j+k1] = zero;
wp += at1*(dcu[3*j]*conjf(dcu[3*j]) + dcu[1+3*j]*conjf(dcu[1+3*j])
+ dcu[2+3*j]*conjf(dcu[2+3*j]));
}
exy[0] = zero;
exy[1] = zero;
exy[2] = zero;
exy[k1] = zero;
exy[1+k1] = zero;
exy[2+k1] = zero;
sum1 += wp;
*wf = (sum1*(float) (nx*ny))/crealf(ffe[0]);
return;
}
/*--------------------------------------------------------------------*/
void caddvrfield2(float a[], float b[], float c[], int ndim, int nxe,
int nye) {
/* this subroutine calculates a = b + c for real vector fields
local data */
int i, j, k, nnxe;
nnxe = ndim*nxe;
#pragma omp parallel for private(i,j,k)
for (k = 0; k < nye; k++) {
for (j = 0; j < nxe; j++) {
for (i = 0; i < ndim; i++) {
a[i+ndim*j+nnxe*k] = b[i+ndim*j+nnxe*k]
+ c[i+ndim*j+nnxe*k];
}
}
}
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rinit(int mixup[], float complex sct[], int indx, int indy,
int nxhyd, int nxyhd) {
/* this subroutine calculates tables needed by a two dimensional
real to complex fast fourier transform and its inverse.
input: indx, indy, nxhyd, nxyhd
output: mixup, sct
mixup = array of bit reversed addresses
sct = sine/cosine table
indx/indy = exponent which determines length in x/y direction,
where nx=2**indx, ny=2**indy
nxhyd = maximum of (nx/2,ny)
nxyhd = one half of maximum of (nx,ny)
written by viktor k. decyk, ucla
local data */
int indx1, indx1y, nx, ny, nxy, nxhy, nxyh;
int j, k, lb, ll, jb, it;
float dnxy, arg;
indx1 = indx - 1;
indx1y = indx1 > indy ? indx1 : indy;
nx = 1L<<indx;
ny = 1L<<indy;
nxy = nx > ny ? nx : ny;
nxhy = 1L<<indx1y;
/* bit-reverse index table: mixup[j] = 1 + reversed bits of j */
for (j = 0; j < nxhy; j++) {
lb = j;
ll = 0;
for (k = 0; k < indx1y; k++) {
jb = lb/2;
it = lb - 2*jb;
lb = jb;
ll = 2*ll + it;
}
mixup[j] = ll + 1;
}
/* sine/cosine table for the angles 2*n*pi/nxy */
nxyh = nxy/2;
dnxy = 6.28318530717959/(float) nxy;
for (j = 0; j < nxyh; j++) {
arg = dnxy*(float) j;
sct[j] = cosf(arg) - sinf(arg)*_Complex_I;
}
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmxx(float complex f[], int isign, int mixup[],
float complex sct[], int indx, int indy, int nyi,
int nyp, int nxhd, int nyd, int nxhyd, int nxyhd) {
/* this subroutine performs the x part of a two dimensional real to
complex fast fourier transform and its inverse, for a subset of y,
using complex arithmetic, with OpenMP
for isign = (-1,1), input: all, output: f
for isign = -1, approximate flop count: N*(5*log2(N) + 19/2)
for isign = 1, approximate flop count: N*(5*log2(N) + 15/2)
where N = (nx/2)*ny
indx/indy = exponent which determines length in x/y direction,
where nx=2**indx, ny=2**indy
if isign = -1, an inverse fourier transform in x is performed
f[m][n] = (1/nx*ny)*sum(f[k][j]*exp(-sqrt(-1)*2pi*n*j/nx))
if isign = 1, a forward fourier transform in x is performed
f[k][j] = sum(f[m][n]*exp(sqrt(-1)*2pi*n*j/nx))
mixup = array of bit reversed addresses
sct = sine/cosine table
nyi = initial y index used
nyp = number of y indices used
nxhd = first dimension of f >= nx/2
nyd = second dimension of f >= ny
nxhyd = maximum of (nx/2,ny)
nxyhd = maximum of (nx,ny)/2
fourier coefficients are stored as follows:
f[k][j] = real, imaginary part of mode j,k, where
0 <= j < nx/2 and 0 <= k < ny, except for
f[k][1] = real, imaginary part of mode nx/2,k, where
ny/2+1 <= k < ny, and
imag(f[0][0]) = real part of mode nx/2,0 and
imag(f[0][ny/2]) = real part of mode nx/2,ny/2
written by viktor k. decyk, ucla
local data */
int indx1, indx1y, nx, nxh, nxhh, ny, nxy, nxhy, nyt;
int nrx, i, j, k, l, j1, j2, k1, k2, ns, ns2, km, kmr, nrxb, joff;
float ani;
float complex t1, t2, t3;
if (isign==0)
return;
indx1 = indx - 1;
indx1y = indx1 > indy ? indx1 : indy;
nx = 1L<<indx;
nxh = nx/2;
nxhh = nx/4;
ny = 1L<<indy;
nxy = nx > ny ? nx : ny;
nxhy = 1L<<indx1y;
nyt = nyi + nyp - 1;
if (isign > 0)
goto L70;
/* inverse fourier transform */
nrxb = nxhy/nxh;
nrx = nxy/nxh;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,j1,j2,joff,ani,t1,t2,t3)
for (i = nyi-1; i < nyt; i++) {
joff = nxhd*i;
/* bit-reverse array elements in x */
for (j = 0; j < nxh; j++) {
j1 = (mixup[j] - 1)/nrxb;
if (j < j1) {
t1 = f[j1+joff];
f[j1+joff] = f[j+joff];
f[j+joff] = t1;
}
}
/* then transform in x */
ns = 1;
for (l = 0; l < indx1; l++) {
ns2 = ns + ns;
km = nxhh/ns;
kmr = km*nrx;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = j + k1;
j2 = j + k2;
t1 = sct[kmr*j];
t2 = t1*f[j2+joff];
f[j2+joff] = f[j1+joff] - t2;
f[j1+joff] += t2;
}
}
ns = ns2;
}
/* unscramble coefficients and normalize */
kmr = nxy/nx;
ani = 0.5/(((float) nx)*((float) ny));
for (j = 1; j < nxhh; j++) {
t3 = cimagf(sct[kmr*j]) - crealf(sct[kmr*j])*_Complex_I;
t2 = conjf(f[nxh-j+joff]);
t1 = f[j+joff] + t2;
t2 = (f[j+joff] - t2)*t3;
f[j+joff] = ani*(t1 + t2);
f[nxh-j+joff] = ani*conjf(t1 - t2);
}
ani = 2.0*ani;
f[nxhh+joff] = ani*conjf(f[nxhh+joff]);
f[joff] = ani*((crealf(f[joff]) + cimagf(f[joff]))
+ (crealf(f[joff]) - cimagf(f[joff]))*_Complex_I);
}
return;
/* forward fourier transform */
L70: nrxb = nxhy/nxh;
nrx = nxy/nxh;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,j1,j2,joff,t1,t2,t3)
for (i = nyi-1; i < nyt; i++) {
joff = nxhd*i;
/* scramble coefficients */
kmr = nxy/nx;
for (j = 1; j < nxhh; j++) {
t3 = cimagf(sct[kmr*j]) + crealf(sct[kmr*j])*_Complex_I;
t2 = conjf(f[nxh-j+joff]);
t1 = f[j+joff] + t2;
t2 = (f[j+joff] - t2)*t3;
f[j+joff] = t1 + t2;
f[nxh-j+joff] = conjf(t1 - t2);
}
f[nxhh+joff] = 2.0*conjf(f[nxhh+joff]);
f[joff] = (crealf(f[joff]) + cimagf(f[joff]))
+ (crealf(f[joff]) - cimagf(f[joff]))*_Complex_I;
/* bit-reverse array elements in x */
for (j = 0; j < nxh; j++) {
j1 = (mixup[j] - 1)/nrxb;
if (j < j1) {
t1 = f[j1+joff];
f[j1+joff] = f[j+joff];
f[j+joff] = t1;
}
}
/* then transform in x */
ns = 1;
for (l = 0; l < indx1; l++) {
ns2 = ns + ns;
km = nxhh/ns;
kmr = km*nrx;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = j + k1;
j2 = j + k2;
t1 = conjf(sct[kmr*j]);
t2 = t1*f[j2+joff];
f[j2+joff] = f[j1+joff] - t2;
f[j1+joff] += t2;
}
}
ns = ns2;
}
}
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmxy(float complex f[], int isign, int mixup[],
float complex sct[], int indx, int indy, int nxi,
int nxp, int nxhd, int nyd, int nxhyd, int nxyhd) {
/* this subroutine performs the y part of a two dimensional real to
complex fast fourier transform and its inverse, for a subset of x,
using complex arithmetic, with OpenMP
for isign = (-1,1), input: all, output: f
for isign = -1, approximate flop count: N*(5*log2(N) + 19/2)
for isign = 1, approximate flop count: N*(5*log2(N) + 15/2)
where N = (nx/2)*ny
indx/indy = exponent which determines length in x/y direction,
where nx=2**indx, ny=2**indy
if isign = -1, an inverse fourier transform in y is performed
f[m][n] = sum(f[k][j]*exp(-sqrt(-1)*2pi*m*k/ny))
if isign = 1, a forward fourier transform in y is performed
f[k][j] = sum(f[m][n]*exp(sqrt(-1)*2pi*m*k/ny))
mixup = array of bit reversed addresses
sct = sine/cosine table
nxi = initial x index used
nxp = number of x indices used
nxhd = first dimension of f >= nx/2
nyd = second dimension of f >= ny
nxhyd = maximum of (nx/2,ny)
nxyhd = maximum of (nx,ny)/2
fourier coefficients are stored as follows:
f[k][j] = real, imaginary part of mode j,k, where
0 <= j < nx/2 and 0 <= k < ny, except for
f[k][1] = real, imaginary part of mode nx/2,k, where
ny/2+1 <= k < ny, and
imag(f[0][0]) = real part of mode nx/2,0 and
imag(f[0][ny/2]) = real part of mode nx/2,ny/2
written by viktor k. decyk, ucla
local data */
int indx1, indx1y, nx, ny, nyh, nxy, nxhy, nxt;
int nry, i, j, k, l, j1, j2, k1, k2, ns, ns2, km, kmr, nryb, koff;
float complex t1, t2;
if (isign==0)
return;
indx1 = indx - 1;
indx1y = indx1 > indy ? indx1 : indy;
nx = 1L<<indx;
ny = 1L<<indy;
nyh = ny/2;
nxy = nx > ny ? nx : ny;
nxhy = 1L<<indx1y;
nxt = nxi + nxp - 1;
if (isign > 0)
goto L70;
/* inverse fourier transform */
nryb = nxhy/ny;
nry = nxy/ny;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,j1,j2,koff,t1,t2)
for (i = nxi-1; i < nxt; i++) {
/* bit-reverse array elements in y */
for (k = 0; k < ny; k++) {
koff = nxhd*k;
k1 = (mixup[k] - 1)/nryb;
if (k < k1) {
k1 = nxhd*k1;
t1 = f[i+k1];
f[i+k1] = f[i+koff];
f[i+koff] = t1;
}
}
/* then transform in y */
ns = 1;
for (l = 0; l < indy; l++) {
ns2 = ns + ns;
km = nyh/ns;
kmr = km*nry;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = nxhd*(j + k1);
j2 = nxhd*(j + k2);
t1 = sct[kmr*j];
t2 = t1*f[i+j2];
f[i+j2] = f[i+j1] - t2;
f[i+j1] += t2;
}
}
ns = ns2;
}
}
/* unscramble modes kx = 0, nx/2 */
if (nxi==1) {
for (k = 1; k < nyh; k++) {
koff = nxhd*k;
k1 = nxhd*ny - koff;
t1 = f[k1];
f[k1] = 0.5*(cimagf(f[koff] + t1)
+ crealf(f[koff] - t1)*_Complex_I);
f[koff] = 0.5*(crealf(f[koff] + t1)
+ cimagf(f[koff] - t1)*_Complex_I);
}
}
return;
/* forward fourier transform */
L70: nryb = nxhy/ny;
nry = nxy/ny;
/* scramble modes kx = 0, nx/2 */
if (nxi==1) {
for (k = 1; k < nyh; k++) {
koff = nxhd*k;
k1 = nxhd*ny - koff;
t1 = cimagf(f[k1]) + crealf(f[k1])*_Complex_I;
f[k1] = conjf(f[koff] - t1);
f[koff] += t1;
}
}
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,j1,j2,koff,t1,t2)
for (i = nxi-1; i < nxt; i++) {
/* bit-reverse array elements in y */
for (k = 0; k < ny; k++) {
koff = nxhd*k;
k1 = (mixup[k] - 1)/nryb;
if (k < k1) {
k1 = nxhd*k1;
t1 = f[i+k1];
f[i+k1] = f[i+koff];
f[i+koff] = t1;
}
}
/* then transform in y */
ns = 1;
for (l = 0; l < indy; l++) {
ns2 = ns + ns;
km = nyh/ns;
kmr = km*nry;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = nxhd*(j + k1);
j2 = nxhd*(j + k2);
t1 = conjf(sct[kmr*j]);
t2 = t1*f[i+j2];
f[i+j2] = f[i+j1] - t2;
f[i+j1] += t2;
}
}
ns = ns2;
}
}
return;
}
/*--------------------------------------------------------------------*/
void cfft2rm3x(float complex f[], int isign, int mixup[],
float complex sct[], int indx, int indy, int nyi,
int nyp, int nxhd, int nyd, int nxhyd, int nxyhd) {
/* this subroutine performs the x part of 3 two dimensional real to
complex fast fourier transforms, and their inverses, for a subset of
y, using complex arithmetic, with OpenMP
for isign = (-1,1), input: all, output: f
for isign = -1, approximate flop count: N*(5*log2(N) + 19/2)
for isign = 1, approximate flop count: N*(5*log2(N) + 15/2)
where N = (nx/2)*ny
indx/indy = exponent which determines length in x/y direction,
where nx=2**indx, ny=2**indy
if isign = -1, two inverse fourier transforms are performed
f[m][n][0:2] = (1/nx*ny)*sum(f[k][j][0:2]*
exp(-sqrt(-1)*2pi*n*j/nx)*exp(-sqrt(-1)*2pi*m*k/ny))
if isign = 1, two forward fourier transforms are performed
f[k][j][0:2] = sum(f[m][n][0:2]*exp(sqrt(-1)*2pi*n*j/nx)*
exp(sqrt(-1)*2pi*m*k/ny))
mixup = array of bit reversed addresses
sct = sine/cosine table
nyi = initial y index used
nyp = number of y indices used
nxhd = second dimension of f >= nx/2
nyd = third dimension of f >= ny
nxhyd = maximum of (nx/2,ny)
nxyhd = maximum of (nx,ny)/2
fourier coefficients are stored as follows:
f[k][j][0:2] = real, imaginary part of mode j,k, where
0 <= j < nx/2 and 0 <= k < ny, except for
f[k][1][0:2] = real, imaginary part of mode nx/2,k, where
ny/2+1 <= k < ny, and
imag(f[0][0][0:2]) = real part of mode nx/2,0 and
imag(f[0][ny/2][0:2]) = real part of mode nx/2,ny/2
written by viktor k. decyk, ucla
local data */
int indx1, indx1y, nx, nxh, nxhh, ny, nxy, nxhy, nyt;
int nrx, i, j, k, l, jj, j1, j2, k1, k2, ns, ns2, km, kmr, joff;
int nrxb;
float at1, at2, ani;
float complex t1, t2, t3, t4;
if (isign==0)
return;
indx1 = indx - 1;
indx1y = indx1 > indy ? indx1 : indy;
nx = 1L<<indx;
nxh = nx/2;
nxhh = nx/4;
ny = 1L<<indy;
nxy = nx > ny ? nx : ny;
nxhy = 1L<<indx1y;
nyt = nyi + nyp - 1;
if (isign > 0)
goto L100;
/* inverse fourier transform */
nrxb = nxhy/nxh;
nrx = nxy/nxh;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,joff,at1,at2,ani,t1,t2,t3 \
,t4)
for (i = nyi-1; i < nyt; i++) {
joff = 3*nxhd*i;
/* swap complex components */
for (j = 0; j < nxh; j++) {
at1 = crealf(f[2+3*j+joff]);
f[2+3*j+joff] = crealf(f[1+3*j+joff])
+ cimagf(f[2+3*j+joff])*_Complex_I;
at2 = cimagf(f[1+3*j+joff]);
f[1+3*j+joff] = cimagf(f[3*j+joff]) + at1*_Complex_I;
f[3*j+joff] = crealf(f[3*j+joff]) + at2*_Complex_I;
}
/* bit-reverse array elements in x */
for (j = 0; j < nxh; j++) {
j1 = (mixup[j] - 1)/nrxb;
if (j < j1) {
t1 = f[3*j1+joff];
t2 = f[1+3*j1+joff];
t3 = f[2+3*j1+joff];
f[3*j1+joff] = f[3*j+joff];
f[1+3*j1+joff] = f[1+3*j+joff];
f[2+3*j1+joff] = f[2+3*j+joff];
f[3*j+joff] = t1;
f[1+3*j+joff] = t2;
f[2+3*j+joff] = t3;
}
}
/* then transform in x */
ns = 1;
for (l = 0; l < indx1; l++) {
ns2 = ns + ns;
km = nxhh/ns;
kmr = km*nrx;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = j + k1;
j2 = j + k2;
t1 = sct[kmr*j];
t2 = t1*f[3*j2+joff];
t3 = t1*f[1+3*j2+joff];
t4 = t1*f[2+3*j2+joff];
f[3*j2+joff] = f[3*j1+joff] - t2;
f[1+3*j2+joff] = f[1+3*j1+joff] - t3;
f[2+3*j2+joff] = f[2+3*j1+joff] - t4;
f[3*j1+joff] += t2;
f[1+3*j1+joff] += t3;
f[2+3*j1+joff] += t4;
}
}
ns = ns2;
}
/* unscramble coefficients and normalize */
kmr = nxy/nx;
ani = 0.5/(((float) nx)*((float) ny));
for (j = 1; j < nxhh; j++) {
t3 = cimagf(sct[kmr*j]) - crealf(sct[kmr*j])*_Complex_I;
for (jj = 0; jj < 3; jj++) {
t2 = conjf(f[jj+3*(nxh-j)+joff]);
t1 = f[jj+3*j+joff] + t2;
t2 = (f[jj+3*j+joff] - t2)*t3;
f[jj+3*j+joff] = ani*(t1 + t2);
f[jj+3*(nxh-j)+joff] = ani*conjf(t1 - t2);
}
}
ani = 2.0*ani;
for (jj = 0; jj < 3; jj++) {
f[jj+3*nxhh+joff] = ani*conjf(f[jj+3*nxhh+joff]);
f[jj+joff] = ani*((crealf(f[jj+joff]) + cimagf(f[jj+joff]))
+ (crealf(f[jj+joff]) - cimagf(f[jj+joff]))*_Complex_I);
}
}
return;
/* forward fourier transform */
L100: nrxb = nxhy/nxh;
nrx = nxy/nxh;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,joff,at1,at2,t1,t2,t3,t4)
for (i = nyi-1; i < nyt; i++) {
joff = 3*nxhd*i;
/* scramble coefficients */
kmr = nxy/nx;
for (j = 1; j < nxhh; j++) {
t3 = cimagf(sct[kmr*j]) + crealf(sct[kmr*j])*_Complex_I;
for (jj = 0; jj < 3; jj++) {
t2 = conjf(f[jj+3*(nxh-j)+joff]);
t1 = f[jj+3*j+joff] + t2;
t2 = (f[jj+3*j+joff] - t2)*t3;
f[jj+3*j+joff] = t1 + t2;
f[jj+3*(nxh-j)+joff] = conjf(t1 - t2);
}
}
for (jj = 0; jj < 3; jj++) {
f[jj+3*nxhh+joff] = 2.0*conjf(f[jj+3*nxhh+joff]);
f[jj+joff] = (crealf(f[jj+joff]) + cimagf(f[jj+joff]))
+ (crealf(f[jj+joff]) - cimagf(f[jj+joff]))*_Complex_I;
}
/* bit-reverse array elements in x */
for (j = 0; j < nxh; j++) {
j1 = (mixup[j] - 1)/nrxb;
if (j < j1) {
t1 = f[3*j1+joff];
t2 = f[1+3*j1+joff];
t3 = f[2+3*j1+joff];
f[3*j1+joff] = f[3*j+joff];
f[1+3*j1+joff] = f[1+3*j+joff];
f[2+3*j1+joff] = f[2+3*j+joff];
f[3*j+joff] = t1;
f[1+3*j+joff] = t2;
f[2+3*j+joff] = t3;
}
}
/* then transform in x */
ns = 1;
for (l = 0; l < indx1; l++) {
ns2 = ns + ns;
km = nxhh/ns;
kmr = km*nrx;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = j + k1;
j2 = j + k2;
t1 = conjf(sct[kmr*j]);
t2 = t1*f[3*j2+joff];
t3 = t1*f[1+3*j2+joff];
t4 = t1*f[2+3*j2+joff];
f[3*j2+joff] = f[3*j1+joff] - t2;
f[1+3*j2+joff] = f[1+3*j1+joff] - t3;
f[2+3*j2+joff] = f[2+3*j1+joff] - t4;
f[3*j1+joff] += t2;
f[1+3*j1+joff] += t3;
f[2+3*j1+joff] += t4;
}
}
ns = ns2;
}
/* swap complex components */
for (j = 0; j < nxh; j++) {
at1 = crealf(f[2+3*j+joff]);
f[2+3*j+joff] = cimagf(f[1+3*j+joff])
+ cimagf(f[2+3*j+joff])*_Complex_I;
at2 = crealf(f[1+3*j+joff]);
f[1+3*j+joff] = at1 + cimagf(f[3*j+joff])*_Complex_I;
f[3*j+joff] = crealf(f[3*j+joff]) + at2*_Complex_I;
}
}
return;
}
/*--------------------------------------------------------------------*/
void cfft2rm3y(float complex f[], int isign, int mixup[],
float complex sct[], int indx, int indy, int nxi,
int nxp, int nxhd, int nyd, int nxhyd, int nxyhd) {
/* this subroutine performs the y part of 3 two dimensional real to
complex fast fourier transforms, and their inverses, for a subset of
x, using complex arithmetic, with OpenMP
for isign = (-1,1), input: all, output: f
for isign = -1, approximate flop count: N*(5*log2(N) + 19/2)
for isign = 1, approximate flop count: N*(5*log2(N) + 15/2)
where N = (nx/2)*ny
indx/indy = exponent which determines length in x/y direction,
where nx=2**indx, ny=2**indy
if isign = -1, two inverse fourier transforms are performed
f[m][n][0:2] = (1/nx*ny)*sum(f[k][j][0:2] *
exp(-sqrt(-1)*2pi*n*j/nx)*exp(-sqrt(-1)*2pi*m*k/ny))
if isign = 1, two forward fourier transforms are performed
f[k][j][0:2] = sum(f[m][n][0:2]*exp(sqrt(-1)*2pi*n*j/nx)*
exp(sqrt(-1)*2pi*m*k/ny))
mixup = array of bit reversed addresses
sct = sine/cosine table
nxi = initial x index used
nxp = number of x indices used
nxhd = second dimension of f >= nx/2
nyd = third dimension of f >= ny
nxhyd = maximum of (nx/2,ny)
nxyhd = maximum of (nx,ny)/2
fourier coefficients are stored as follows:
f[k][j][0:2] = real, imaginary part of mode j,k, where
0 <= j < nx/2 and 0 <= k < ny, except for
f[k][1][0:2] = real, imaginary part of mode nx/2,k, where
ny/2+1 <= k < ny, and
imag(f[0][0][0:2]) = real part of mode nx/2,0 and
imag(f[0][ny/2][0:2]) = real part of mode nx/2,ny/2
written by viktor k. decyk, ucla
local data */
int indx1, indx1y, nx, ny, nyh, nxy, nxhy, nxt;
int nry, i, j, k, l, jj, j1, j2, k1, k2, ns, ns2, km, kmr, koff;
int nryb;
float complex t1, t2, t3, t4;
if (isign==0)
return;
indx1 = indx - 1;
indx1y = indx1 > indy ? indx1 : indy;
nx = 1L<<indx;
ny = 1L<<indy;
nyh = ny/2;
nxy = nx > ny ? nx : ny;
nxhy = 1L<<indx1y;
nxt = nxi + nxp - 1;
if (isign > 0)
goto L80;
/* inverse fourier transform */
nryb = nxhy/ny;
nry = nxy/ny;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,koff,t1,t2,t3,t4)
for (i = nxi-1; i < nxt; i++) {
/* bit-reverse array elements in y */
for (k = 0; k < ny; k++) {
koff = 3*nxhd*k;
k1 = (mixup[k] - 1)/nryb;
if (k < k1) {
k1 = 3*nxhd*k1;
t1 = f[3*i+k1];
t2 = f[1+3*i+k1];
t3 = f[2+3*i+k1];
f[3*i+k1] = f[3*i+koff];
f[1+3*i+k1] = f[1+3*i+koff];
f[2+3*i+k1] = f[2+3*i+koff];
f[3*i+koff] = t1;
f[1+3*i+koff] = t2;
f[2+3*i+koff] = t3;
}
}
/* then transform in y */
ns = 1;
for (l = 0; l < indy; l++) {
ns2 = ns + ns;
km = nyh/ns;
kmr = km*nry;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = 3*nxhd*(j + k1);
j2 = 3*nxhd*(j + k2);
t1 = sct[kmr*j];
t2 = t1*f[3*i+j2];
t3 = t1*f[1+3*i+j2];
t4 = t1*f[2+3*i+j2];
f[3*i+j2] = f[3*i+j1] - t2;
f[1+3*i+j2] = f[1+3*i+j1] - t3;
f[2+3*i+j2] = f[2+3*i+j1] - t4;
f[3*i+j1] += t2;
f[1+3*i+j1] += t3;
f[2+3*i+j1] += t4;
}
}
ns = ns2;
}
}
/* unscramble modes kx = 0, nx/2 */
if (nxi==1) {
for (k = 1; k < nyh; k++) {
koff = 3*nxhd*k;
k1 = 3*nxhd*ny - koff;
for (jj = 0; jj < 3; jj++) {
t1 = f[jj+k1];
f[jj+k1] = 0.5*(cimagf(f[jj+koff] + t1)
+ crealf(f[jj+koff] - t1)*_Complex_I);
f[jj+koff] = 0.5*(crealf(f[jj+koff] + t1)
+ cimagf(f[jj+koff] - t1)*_Complex_I);
}
}
}
return;
/* forward fourier transform */
L80: nryb = nxhy/ny;
nry = nxy/ny;
/* scramble modes kx = 0, nx/2 */
if (nxi==1) {
for (k = 1; k < nyh; k++) {
koff = 3*nxhd*k;
k1 = 3*nxhd*ny - koff;
for (jj = 0; jj < 3; jj++) {
t1 = cimagf(f[jj+k1]) + crealf(f[jj+k1])*_Complex_I;
f[jj+k1] = conjf(f[jj+koff] - t1);
f[jj+koff] += t1;
}
}
}
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,koff,t1,t2,t3,t4)
for (i = nxi-1; i < nxt; i++) {
/* bit-reverse array elements in y */
for (k = 0; k < ny; k++) {
koff = 3*nxhd*k;
k1 = (mixup[k] - 1)/nryb;
if (k < k1) {
k1 = 3*nxhd*k1;
t1 = f[3*i+k1];
t2 = f[1+3*i+k1];
t3 = f[2+3*i+k1];
f[3*i+k1] = f[3*i+koff];
f[1+3*i+k1] = f[1+3*i+koff];
f[2+3*i+k1] = f[2+3*i+koff];
f[3*i+koff] = t1;
f[1+3*i+koff] = t2;
f[2+3*i+koff] = t3;
}
}
/* then transform in y */
ns = 1;
for (l = 0; l < indy; l++) {
ns2 = ns + ns;
km = nyh/ns;
kmr = km*nry;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = 3*nxhd*(j + k1);
j2 = 3*nxhd*(j + k2);
t1 = conjf(sct[kmr*j]);
t2 = t1*f[3*i+j2];
t3 = t1*f[1+3*i+j2];
t4 = t1*f[2+3*i+j2];
f[3*i+j2] = f[3*i+j1] - t2;
f[1+3*i+j2] = f[1+3*i+j1] - t3;
f[2+3*i+j2] = f[2+3*i+j1] - t4;
f[3*i+j1] += t2;
f[1+3*i+j1] += t3;
f[2+3*i+j1] += t4;
}
}
ns = ns2;
}
}
return;
}
/*--------------------------------------------------------------------*/
void cmswapc2n(float f[], float s[], int isign, int nxh, int nyi,
int nyt, int nxhd, int nyd, int ndim) {
/* this subroutine swaps components for multiple ffts
f = input array
s = scratch array
isign = (-1,1) = swap (real-to-complex,complex-to-real)
nxh = complex dimension in x direction
nyi/nyt = initial/final y index used
nxhd = half of the second dimension of f
nyd = third dimension of f
ndim = leading dimension of array f
local data */
int i, j, k, ioff, nk;
/* swap complex components */
/* real to complex */
if (isign < 0){
#pragma omp parallel for private(i,j,k,ioff)
for (k = nyi-1; k < nyt; k++) {
nk = 2*ndim*nxhd*k;
for (j = 0; j < nxh; j++) {
ioff = 2*ndim*j;
for (i = 0; i < ndim; i++) {
s[2*i+ioff+nk] = f[i+ndim*(2*j)+nk];
s[2*i+ioff+1+nk] = f[i+ndim*(2*j+1)+nk];
}
}
for (j = 0; j < nxh; j++) {
ioff = 2*ndim*j;
for (i = 0; i < ndim; i++) {
f[i+ndim*(2*j)+nk] = s[i+ioff+nk];
}
ioff += ndim;
for (i = 0; i < ndim; i++) {
f[i+ndim*(2*j+1)+nk] = s[i+ioff+nk];
}
}
}
}
/* complex to real */
else if (isign > 0) {
#pragma omp parallel for private(i,j,k,ioff)
for (k = nyi-1; k < nyt; k++) {
nk = 2*ndim*nxhd*k;
for (j = 0; j < nxh; j++) {
ioff = 2*ndim*j;
for (i = 0; i < ndim; i++) {
s[i+ioff+nk] = f[i+ndim*(2*j)+nk];
}
ioff += ndim;
for (i = 0; i < ndim; i++) {
s[i+ioff+nk] = f[i+ndim*(2*j+1)+nk];
}
}
for (j = 0; j < nxh; j++) {
ioff = 2*ndim*j;
for (i = 0; i < ndim; i++) {
f[i+ndim*(2*j)+nk] = s[2*i+ioff+nk];
f[i+ndim*(2*j+1)+nk] = s[2*i+ioff+1+nk];
}
}
}
}
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmnx(float complex f[], float complex ss[], int isign,
int mixup[], float complex sct[], int indx, int indy,
int nyi, int nyp, int nxhd, int nyd, int ndim, int nxhyd,
int nxyhd) {
/* this subroutine performs the x part of N two dimensional real to
complex fast fourier transforms, and their inverses, for a subset of
y, using complex arithmetic, where N = ndim, with OpenMP
for isign = (-1,1), input: all, output: f
for isign = -1, approximate flop count: M*(5*log2(M) + 19/2)
for isign = 1, approximate flop count: M*(5*log2(M) + 15/2)
where M = (nx/2)*ny
indx/indy = exponent which determines length in x/y direction,
where nx=2**indx, ny=2**indy
if isign = -1, two inverse fourier transforms are performed
f[m][n][0:N-1] = (1/nx*ny)*sum(f[k][j][0:N-1]*
exp(-sqrt(-1)*2pi*n*j/nx)*exp(-sqrt(-1)*2pi*m*k/ny))
if isign = 1, two forward fourier transforms are performed
f[k][j][0:N-1] = sum(f[m][n][0:N-1]*exp(sqrt(-1)*2pi*n*j/nx)*
exp(sqrt(-1)*2pi*m*k/ny))
ss = scratch array
mixup = array of bit reversed addresses
sct = sine/cosine table
nyi = initial y index used
nyp = number of y indices used
nxhd = second dimension of f
nyd = third dimension of f
ndim = leading dimension of array f
nxhyd = maximum of (nx/2,ny)
nxyhd = maximum of (nx,ny)/2
fourier coefficients are stored as follows:
f[k][j][0:N-1], = real, imaginary part of mode j,k, where
0 <= j < nx/2 and 0 <= k < ny, except for
f[k][0][0:N-1] = real, imaginary part of mode nx/2,k, where
ny/2+1 <= k < ny, and
imag(f[0][0][0:N-1]) = real part of mode nx/2,0 and
imagf(f[ny/2][0][0:N-1]) = real part of mode nx/2,ny/2
written by viktor k. decyk, ucla
local data */
int indx1, indx1y, nx, nxh, nxhh, ny, nxy, nxhy, nyt;
int nrx, i, j, k, l, jj, j1, j2, k1, k2, ns, ns2, km, kmr, joff;
int nrxb;
float ani;
float complex t1, t2, t3;
if (isign==0)
return;
indx1 = indx - 1;
indx1y = indx1 > indy ? indx1 : indy;
nx = 1L<<indx;
nxh = nx/2;
nxhh = nx/4;
ny = 1L<<indy;
nxy = nx > ny ? nx : ny;
nxhy = 1L<<indx1y;
nyt = nyi + nyp - 1;
if (isign > 0)
goto L110;
/* inverse fourier transform */
nrxb = nxhy/nxh;
nrx = nxy/nxh;
/* swap complex components */
cmswapc2n((float *)f,(float *)ss,isign,nxh,nyi,nyt,nxhd,nyd,ndim);
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,joff,ani,t1,t2,t3)
for (i = nyi-1; i < nyt; i++) {
joff = ndim*nxhd*i;
/* bit-reverse array elements in x */
for (j = 0; j < nxh; j++) {
j1 = (mixup[j] - 1)/nrxb;
if (j < j1) {
for (jj = 0; jj < ndim; jj++) {
t1 = f[jj+ndim*j1+joff];
f[jj+ndim*j1+joff] = f[jj+ndim*j+joff];
f[jj+ndim*j+joff] = t1;
}
}
}
/* first transform in x */
ns = 1;
for (l = 0; l < indx1; l++) {
ns2 = ns + ns;
km = nxhh/ns;
kmr = km*nrx;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = j + k1;
j2 = j + k2;
t1 = sct[kmr*j];
for (jj = 0; jj < ndim; jj++) {
t2 = t1*f[jj+ndim*j2+joff];
f[jj+ndim*j2+joff] = f[jj+ndim*j1+joff] - t2;
f[jj+ndim*j1+joff] += t2;
}
}
}
ns = ns2;
}
/* unscramble coefficients and normalize */
kmr = nxy/nx;
ani = 1.0/(float) (2*nx*ny);
for (j = 1; j < nxhh; j++) {
t3 = cimagf(sct[kmr*j]) - crealf(sct[kmr*j])*_Complex_I;
for (jj = 0; jj < ndim; jj++) {
t2 = conjf(f[jj+ndim*(nxh-j)+joff]);
t1 = f[jj+ndim*j+joff] + t2;
t2 = (f[jj+ndim*j+joff] - t2)*t3;
f[jj+ndim*j+joff] = ani*(t1 + t2);
f[jj+ndim*(nxh-j)+joff] = ani*conjf(t1 - t2);
}
}
ani = 2.0*ani;
for (jj = 0; jj < ndim; jj++) {
f[jj+ndim*nxhh+joff] = ani*conjf(f[jj+ndim*nxhh+joff]);
f[jj+joff] = ani*((crealf(f[jj+joff]) + cimagf(f[jj+joff]))
+ (crealf(f[jj+joff]) - cimagf(f[jj+joff]))*_Complex_I);
}
}
return;
/* forward fourier transform */
L110: nrxb = nxhy/nxh;
nrx = nxy/nxh;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,joff,t1,t2,t3)
for (i = nyi-1; i < nyt; i++) {
joff = ndim*nxhd*i;
/* scramble coefficients */
kmr = nxy/nx;
for (j = 1; j < nxhh; j++) {
t3 = cimagf(sct[kmr*j]) + crealf(sct[kmr*j])*_Complex_I;
for (jj = 0; jj < ndim; jj++) {
t2 = conjf(f[jj+ndim*(nxh-j)+joff]);
t1 = f[jj+ndim*j+joff] + t2;
t2 = (f[jj+ndim*j+joff] - t2)*t3;
f[jj+ndim*j+joff] = t1 + t2;
f[jj+ndim*(nxh-j)+joff] = conjf(t1 - t2);
}
}
for (jj = 0; jj < ndim; jj++) {
f[jj+ndim*nxhh+joff] = 2.0*conjf(f[jj+ndim*nxhh+joff]);
f[jj+joff] = (crealf(f[jj+joff]) + cimagf(f[jj+joff]))
+ (crealf(f[jj+joff]) - cimagf(f[jj+joff]))*_Complex_I;
}
/* bit-reverse array elements in x */
for (j = 0; j < nxh; j++) {
j1 = (mixup[j] - 1)/nrxb;
if (j < j1) {
for (jj = 0; jj < ndim; jj++) {
t1 = f[jj+ndim*j1+joff];
f[jj+ndim*j1+joff] = f[jj+ndim*j+joff];
f[jj+ndim*j+joff] = t1;
}
}
}
/* then transform in x */
ns = 1;
for (l = 0; l < indx1; l++) {
ns2 = ns + ns;
km = nxhh/ns;
kmr = km*nrx;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = j + k1;
j2 = j + k2;
t1 = conjf(sct[kmr*j]);
for (jj = 0; jj < ndim; jj++) {
t2 = t1*f[jj+ndim*j2+joff];
f[jj+ndim*j2+joff] = f[jj+ndim*j1+joff] - t2;
f[jj+ndim*j1+joff] += t2;
}
}
}
ns = ns2;
}
}
/* swap complex components */
cmswapc2n((float *)f,(float *)ss,isign,nxh,nyi,nyt,nxhd,nyd,ndim);
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmny(float complex f[], int isign, int mixup[],
float complex sct[], int indx, int indy, int nxi,
int nxp, int nxhd, int nyd, int ndim, int nxhyd,
int nxyhd) {
/* this subroutine performs the y part of N two dimensional real to
complex fast fourier transforms, and their inverses, for a subset of
x, using complex arithmetic, where N = ndim, with OpenMP
for isign = (-1,1), input: all, output: f
for isign = -1, approximate flop count: M*(5*log2(M) + 19/2)
for isign = 1, approximate flop count: M*(5*log2(M) + 15/2)
where M = (nx/2)*ny
indx/indy = exponent which determines length in x/y direction,
where nx=2**indx, ny=2**indy
if isign = -1, two inverse fourier transforms are performed
f[m][n][0:N-1] = (1/nx*ny)*sum(f[k][j][0:N-1] *
exp(-sqrt(-1)*2pi*n*j/nx)*exp(-sqrt(-1)*2pi*m*k/ny))
if isign = 1, two forward fourier transforms are performed
f[k][j][0:N-1] = sum(f[m][n][0:N-1]*exp(sqrt(-1)*2pi*n*j/nx)*
exp(sqrt(-1)*2pi*m*k/ny))
mixup = array of bit reversed addresses
sct = sine/cosine table
nxi = initial x index used
nxp = number of x indices used
nxhd = second dimension of f
nyd = third dimension of f
ndim = leading dimension of array f
nxhyd = maximum of (nx/2,ny)
nxyhd = maximum of (nx,ny)/2
fourier coefficients are stored as follows:
f[k][j][0:N-1] = real, imaginary part of mode j,k, where
0 <= j < nx/2 and 0 <= k < ny, except for
f[k][0][0:N-1] = real, imaginary part of mode nx/2,k, where
ny/2+1 <= k < ny, and
imag(f[0][0][0:N-1]) = real part of mode nx/2,0 and
imag(f[ny/2][0][0:N-1]) = real part of mode nx/2,ny/2
written by viktor k. decyk, ucla
local data */
int indx1, indx1y, nx, ny, nyh, nxy, nxhy, nxt;
int nry, i, j, k, l, jj, j1, j2, k1, k2, ns, ns2, km, kmr, joff;
int nryb;
float complex t1, t2;
if (isign==0)
return;
indx1 = indx - 1;
indx1y = indx1 > indy ? indx1 : indy;
nx = 1L<<indx;
ny = 1L<<indy;
nyh = ny/2;
nxy = nx > ny ? nx : ny;
nxhy = 1L<<indx1y;
nxt = nxi + nxp - 1;
if (isign > 0)
goto L100;
/* inverse fourier transform */
nryb = nxhy/ny;
nry = nxy/ny;
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,joff,t1,t2)
for (i = nxi-1; i < nxt; i++) {
/* bit-reverse array elements in y */
for (k = 0; k < ny; k++) {
joff = ndim*nxhd*k;
k1 = (mixup[k] - 1)/nryb;
if (k < k1) {
k1 = ndim*nxhd*k1;
for (jj = 0; jj < ndim; jj++) {
t1 = f[jj+ndim*i+k1];
f[jj+ndim*i+k1] = f[jj+ndim*i+joff];
f[jj+ndim*i+joff] = t1;
}
}
}
/* then transform in y */
ns = 1;
for (l = 0; l < indy; l++) {
ns2 = ns + ns;
km = nyh/ns;
kmr = km*nry;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = ndim*nxhd*(j + k1);
j2 = ndim*nxhd*(j + k2);
t1 = sct[kmr*j];
for (jj = 0; jj < ndim; jj++) {
t2 = t1*f[jj+ndim*i+j2];
f[jj+ndim*i+j2] = f[jj+ndim*i+j1] - t2;
f[jj+ndim*i+j1] += t2;
}
}
}
ns = ns2;
}
}
/* unscramble modes kx = 0, nx/2 */
for (k = 1; k < nyh; k++) {
if (nxi==1) {
joff = ndim*nxhd*k;
k1 = ndim*nxhd*ny - joff;
for (jj = 0; jj < ndim; jj++) {
t1 = f[jj+k1];
f[jj+k1] = 0.5*(cimagf(f[jj+joff] + t1)
+ crealf(f[jj+joff] - t1)*_Complex_I);
f[jj+joff] = 0.5*(crealf(f[jj+joff] + t1)
+ cimagf(f[jj+joff] - t1)*_Complex_I);
}
}
}
return;
/* forward fourier transform */
L100: nryb = nxhy/ny;
nry = nxy/ny;
/* scramble modes kx = 0, nx/2 */
for (k = 1; k < nyh; k++) {
if (nxi==1) {
joff = ndim*nxhd*k;
k1 = ndim*nxhd*ny - joff;
for (jj = 0; jj < ndim; jj++) {
t1 = cimagf(f[jj+k1]) + crealf(f[jj+k1])*_Complex_I;
f[jj+k1] = conjf(f[jj+joff] - t1);
f[jj+joff] += t1;
}
}
}
#pragma omp parallel for \
private(i,j,k,l,ns,ns2,km,kmr,k1,k2,jj,j1,j2,joff,t1,t2)
for (i = nxi-1; i < nxt; i++) {
/* bit-reverse array elements in y */
for (k = 0; k < ny; k++) {
joff = ndim*nxhd*k;
k1 = (mixup[k] - 1)/nryb;
if (k < k1) {
k1 = ndim*nxhd*k1;
for (jj = 0; jj < ndim; jj++) {
t1 = f[jj+ndim*i+k1];
f[jj+ndim*i+k1] = f[jj+ndim*i+joff];
f[jj+ndim*i+joff] = t1;
}
}
}
/* first transform in y */
ns = 1;
for (l = 0; l < indy; l++) {
ns2 = ns + ns;
km = nyh/ns;
kmr = km*nry;
for (k = 0; k < km; k++) {
k1 = ns2*k;
k2 = k1 + ns;
for (j = 0; j < ns; j++) {
j1 = ndim*nxhd*(j + k1);
j2 = ndim*nxhd*(j + k2);
t1 = conjf(sct[kmr*j]);
for (jj = 0; jj < ndim; jj++) {
t2 = t1*f[jj+ndim*i+j2];
f[jj+ndim*i+j2] = f[jj+ndim*i+j1] - t2;
f[jj+ndim*i+j1] += t2;
}
}
}
ns = ns2;
}
}
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rmx(float complex f[], int isign, int mixup[],
float complex sct[], int indx, int indy, int nxhd,
int nyd, int nxhyd, int nxyhd) {
/* wrapper function for real to complex fft, with packed data */
/* parallelized with OpenMP */
/* local data */
int nxh, ny;
static int nxi = 1, nyi = 1;
/* calculate range of indices */
nxh = 1L<<(indx - 1);
ny = 1L<<indy;
/* inverse fourier transform */
if (isign < 0) {
/* perform x fft */
cfft2rmxx(f,isign,mixup,sct,indx,indy,nyi,ny,nxhd,nyd,nxhyd,
nxyhd);
/* perform y fft */
cfft2rmxy(f,isign,mixup,sct,indx,indy,nxi,nxh,nxhd,nyd,nxhyd,
nxyhd);
}
/* forward fourier transform */
else if (isign > 0) {
/* perform y fft */
cfft2rmxy(f,isign,mixup,sct,indx,indy,nxi,nxh,nxhd,nyd,nxhyd,
nxyhd);
/* perform x fft */
cfft2rmxx(f,isign,mixup,sct,indx,indy,nyi,ny,nxhd,nyd,nxhyd,
nxyhd);
}
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rm3(float complex f[], int isign, int mixup[],
float complex sct[], int indx, int indy, int nxhd,
int nyd, int nxhyd, int nxyhd) {
/* wrapper function for 3 2d real to complex ffts */
/* local data */
int nxh, ny;
static int nxi = 1, nyi = 1;
/* calculate range of indices */
nxh = 1L<<(indx - 1);
ny = 1L<<indy;
/* inverse fourier transform */
if (isign < 0) {
/* perform x fft */
cfft2rm3x(f,isign,mixup,sct,indx,indy,nyi,ny,nxhd,nyd,nxhyd,
nxyhd);
/* perform y fft */
cfft2rm3y(f,isign,mixup,sct,indx,indy,nxi,nxh,nxhd,nyd,nxhyd,
nxyhd);
}
/* forward fourier transform */
else if (isign > 0) {
/* perform y fft */
cfft2rm3y(f,isign,mixup,sct,indx,indy,nxi,nxh,nxhd,nyd,nxhyd,
nxyhd);
/* perform x fft */
cfft2rm3x(f,isign,mixup,sct,indx,indy,nyi,ny,nxhd,nyd,nxhyd,
nxyhd);
}
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rmn(float complex f[], float complex ss[], int isign,
int mixup[], float complex sct[], int indx, int indy,
int nxhd, int nyd, int ndim, int nxhyd, int nxyhd) {
/* wrapper function for multiple 2d real to complex ffts */
/* local data */
int nxh, ny;
static int nxi = 1, nyi = 1;
/* calculate range of indices */
nxh = 1L<<(indx - 1);
ny = 1L<<indy;
/* inverse fourier transform */
if (isign < 0) {
/* perform x fft */
cfft2rmnx(f,ss,isign,mixup,sct,indx,indy,nyi,ny,nxhd,nyd,ndim,
nxhyd,nxyhd);
/* perform y fft */
cfft2rmny(f,isign,mixup,sct,indx,indy,nxi,nxh,nxhd,nyd,ndim,nxhyd,
nxyhd);
}
/* forward fourier transform */
else if (isign > 0) {
/* perform y fft */
cfft2rmny(f,isign,mixup,sct,indx,indy,nxi,nxh,nxhd,nyd,ndim,nxhyd,
nxyhd);
/* perform x fft */
cfft2rmnx(f,ss,isign,mixup,sct,indx,indy,nyi,ny,nxhd,nyd,ndim,
nxhyd,nxyhd);
}
return;
}
/*--------------------------------------------------------------------*/
void cppcopyout(float part[], float ppart[], int kpic[], int nop,
int nppmx, int idimp, int mxy1, int *irc) {
/* for 2d code, this subroutine copies segmented particle data ppart to
the array part with original tiled layout
input: all except part, output: part
part[j][i] = i-th coordinate for particle j
ppart[k][j][i] = i-th coordinate for particle j in tile k
kpic = number of particles per tilees
nop = number of particles
nppmx = maximum number of particles in tile
idimp = size of phase space = 5
mxy1 = total number of tiles
irc = maximum overflow, returned only if error occurs, when irc > 0
local data */
int i, j, k, npoff, npp, ne, ierr;
npoff = 0;
ierr = 0;
/* loop over tiles */
for (k = 0; k < mxy1; k++) {
npp = kpic[k];
ne = npp + npoff;
if (ne > nop)
ierr = ierr > ne-nop ? ierr : ne-nop;
if (ierr > 0)
npp = 0;
/* loop over particles in tile */
for (j = 0; j < npp; j++) {
for (i = 0; i < idimp; i++) {
part[i+idimp*(j+npoff)] = ppart[i+idimp*(j+nppmx*k)];
}
}
npoff += npp;
}
if (ierr > 0)
*irc = ierr;
return;
}
/* Interfaces to Fortran */
/*--------------------------------------------------------------------*/
void cdistr2h_(float *part, float *vtx, float *vty, float *vtz,
float *vdx, float *vdy, float *vdz, int *npx, int *npy,
int *idimp, int *nop, int *nx, int *ny, int *ipbc) {
cdistr2h(part,*vtx,*vty,*vtz,*vdx,*vdy,*vdz,*npx,*npy,*idimp,*nop,
*nx,*ny,*ipbc);
return;
}
/*--------------------------------------------------------------------*/
void cdblkp2l_(float *part, int *kpic, int *nppmx, int *idimp, int *nop,
int *mx, int *my, int *mx1, int *mxy1, int *irc) {
cdblkp2l(part,kpic,nppmx,*idimp,*nop,*mx,*my,*mx1,*mxy1,irc);
return;
}
/*--------------------------------------------------------------------*/
void cppmovin2l_(float *part, float *ppart, int *kpic, int *nppmx,
int *idimp, int *nop, int *mx, int *my, int *mx1,
int *mxy1, int *irc) {
cppmovin2l(part,ppart,kpic,*nppmx,*idimp,*nop,*mx,*my,*mx1,*mxy1,
irc);
return;
}
/*--------------------------------------------------------------------*/
void cppcheck2l_(float *ppart, int *kpic, int *idimp, int *nppmx,
int *nx, int *ny, int *mx, int *my, int *mx1, int *my1,
int *irc) {
cppcheck2l(ppart,kpic,*idimp,*nppmx,*nx,*ny,*mx,*my,*mx1,*my1,irc);
return;
}
/*--------------------------------------------------------------------*/
void cgbppush23l_(float *ppart, float *fxy, float *bxy, int *kpic,
float *qbm, float *dt, float *dtc, float *ek,
int *idimp, int *nppmx, int *nx, int *ny, int *mx,
int *my, int *nxv, int *nyv, int *mx1, int *mxy1,
int *ipbc) {
cgbppush23l(ppart,fxy,bxy,kpic,*qbm,*dt,*dtc,ek,*idimp,*nppmx,*nx,
*ny,*mx,*my,*nxv,*nyv,*mx1,*mxy1,*ipbc);
return;
}
/*--------------------------------------------------------------------*/
void cgbppushf23l_(float *ppart, float *fxy, float *bxy, int *kpic,
int *ncl, int *ihole, float *qbm, float *dt,
float *dtc, float *ek, int *idimp, int *nppmx,
int *nx, int *ny, int *mx, int *my, int *nxv,
int *nyv, int *mx1, int *mxy1, int *ntmax,
int *irc) {
cgbppushf23l(ppart,fxy,bxy,kpic,ncl,ihole,*qbm,*dt,*dtc,ek,*idimp,
*nppmx,*nx,*ny,*mx,*my,*nxv,*nyv,*mx1,*mxy1,*ntmax,irc);
return;
}
/*--------------------------------------------------------------------*/
void cgppost2l_(float *ppart, float *q, int *kpic, float *qm,
int *nppmx, int *idimp, int *mx, int *my, int *nxv,
int *nyv, int *mx1, int *mxy1) {
cgppost2l(ppart,q,kpic,*qm,*nppmx,*idimp,*mx,*my,*nxv,*nyv,*mx1,
*mxy1);
return;
}
/*--------------------------------------------------------------------*/
void cgjppost2l_(float *ppart, float *cu, int *kpic, float *qm,
float *dt, int *nppmx, int *idimp, int *nx, int *ny,
int *mx, int *my, int *nxv, int *nyv, int *mx1,
int *mxy1, int *ipbc) {
cgjppost2l(ppart,cu,kpic,*qm,*dt,*nppmx,*idimp,*nx,*ny,*mx,*my,*nxv,
*nyv,*mx1,*mxy1,*ipbc);
return;
}
/*--------------------------------------------------------------------*/
void cgmjppost2l_(float *ppart, float *amu, int *kpic, float *qm,
int *nppmx, int *idimp, int *mx, int *my, int *nxv,
int *nyv, int *mx1, int *mxy1) {
cgmjppost2l(ppart,amu,kpic,*qm,*nppmx,*idimp,*mx,*my,*nxv,*nyv,*mx1,
*mxy1);
return;
}
/*--------------------------------------------------------------------*/
void cgdjppost2l_(float *ppart, float *fxy, float *bxy, float *dcu,
float *amu, int *kpic, float *qm, float *qbm,
float *dt, int *idimp, int *nppmx, int *nx, int *ny,
int *mx, int *my, int *nxv, int *nyv, int *mx1,
int *mxy1) {
cgdjppost2l(ppart,fxy,bxy,dcu,amu,kpic,*qm,*qbm,*dt,*idimp,*nppmx,
*nx,*ny,*mx,*my,*nxv,*nyv,*mx1,*mxy1);
return;
}
/*--------------------------------------------------------------------*/
void cgdcjppost2l_(float *ppart, float *fxy, float *bxy, float *cu,
float *dcu, float *amu, int *kpic, float *qm,
float *qbm, float *dt, int *idimp, int *nppmx,
int *nx, int *ny, int *mx, int *my, int *nxv,
int *nyv, int *mx1, int *mxy1) {
cgdcjppost2l(ppart,fxy,bxy,cu,dcu,amu,kpic,*qm,*qbm,*dt,*idimp,
*nppmx,*nx,*ny,*mx,*my,*nxv,*nyv,*mx1,*mxy1);
return;
}
/*--------------------------------------------------------------------*/
void cpporder2l_(float *ppart, float *ppbuff, int *kpic, int *ncl,
int *ihole, int *idimp, int *nppmx, int *nx, int *ny,
int *mx, int *my, int *mx1, int *my1, int *npbmx,
int *ntmax, int *irc) {
cpporder2l(ppart,ppbuff,kpic,ncl,ihole,*idimp,*nppmx,*nx,*ny,*mx,*my,
*mx1,*my1,*npbmx,*ntmax,irc);
return;
}
/*--------------------------------------------------------------------*/
void cpporderf2l_(float *ppart, float *ppbuff, int *kpic, int *ncl,
int *ihole, int *idimp, int *nppmx, int *mx1,
int *my1, int *npbmx, int *ntmax, int *irc) {
cpporderf2l(ppart,ppbuff,kpic,ncl,ihole,*idimp,*nppmx,*mx1,*my1,
*npbmx,*ntmax,irc);
return;
}
/*--------------------------------------------------------------------*/
void cbguard2l_(float *bxy, int *nx, int *ny, int *nxe, int *nye) {
cbguard2l(bxy,*nx,*ny,*nxe,*nye);
return;
}
/*--------------------------------------------------------------------*/
void cacguard2l_(float *cu, int *nx, int *ny, int *nxe, int *nye) {
cacguard2l(cu,*nx,*ny,*nxe,*nye);
return;
}
/*--------------------------------------------------------------------*/
void caguard2l_(float *q, int *nx, int *ny, int *nxe, int *nye) {
caguard2l(q,*nx,*ny,*nxe,*nye);
return;
}
/*--------------------------------------------------------------------*/
void camcguard2l_(float *amu, int *nx, int *ny, int *nxe, int *nye,
int *ndim) {
camcguard2l(amu,*nx,*ny,*nxe,*nye,*ndim);
return;
}
/*--------------------------------------------------------------------*/
void cascfguard2l_(float *dcu, float *cus, float *q2m0, int *nx,
int *ny, int *nxe, int *nye) {
cascfguard2l(dcu,cus,*q2m0,*nx,*ny,*nxe,*nye);
return;
}
/*--------------------------------------------------------------------*/
void cfwpminmx2_(float *qe, float *qbme, float *wpmax, float *wpmin,
int *nx, int *ny, int *nxe, int *nye) {
cfwpminmx2(qe,*qbme,wpmax,wpmin,*nx,*ny,*nxe,*nye);
return;
}
/*--------------------------------------------------------------------*/
void cmpois23_(float complex *q, float complex *fxy, int *isign,
float complex *ffc, float *ax, float *ay, float *affp,
float *we, int *nx, int *ny, int *nxvh, int *nyv,
int *nxhd, int *nyhd) {
cmpois23(q,fxy,*isign,ffc,*ax,*ay,*affp,we,*nx,*ny,*nxvh,*nyv,*nxhd,
*nyhd);
return;
}
/*--------------------------------------------------------------------*/
void cmcuperp2_(float complex *cu, int *nx, int *ny, int *nxvh,
int *nyv) {
cmcuperp2(cu,*nx,*ny,*nxvh,*nyv);
return;
}
/*--------------------------------------------------------------------*/
void cmbbpois23_(float complex *cu, float complex *bxy,
float complex *ffc, float *ci, float *wm, int *nx,
int *ny, int *nxvh, int *nyv, int *nxhd, int *nyhd) {
cmbbpois23(cu,bxy,ffc,*ci,wm,*nx,*ny,*nxvh,*nyv,*nxhd,*nyhd);
return;
}
/*--------------------------------------------------------------------*/
void cbaddext2_(float *bxy, float *omx, float *omy, float *omz, int *nx,
int *ny, int *nxe, int *nye) {
cbaddext2(bxy,*omx,*omy,*omz,*nx,*ny,*nxe,*nye);
return;
}
/*--------------------------------------------------------------------*/
void cmdcuperp23_(float complex *dcu, float complex *amu, int *nx,
int *ny, int *nxvh, int *nyv) {
cmdcuperp23(dcu,amu,*nx,*ny,*nxvh,*nyv);
return;
}
/*--------------------------------------------------------------------*/
void cmadcuperp23_(float complex *dcu, float complex *amu, int *nx,
int *ny, int *nxvh, int *nyv) {
cmadcuperp23(dcu,amu,*nx,*ny,*nxvh,*nyv);
return;
}
/*--------------------------------------------------------------------*/
void cmepois23_(float complex *dcu, float complex *exy, int *isign,
float complex *ffe, float *ax, float *ay, float *affp,
float *wp0, float *ci, float *wf, int *nx, int *ny,
int *nxvh, int *nyv, int *nxhd, int *nyhd) {
cmepois23(dcu,exy,*isign,ffe,*ax,*ay,*affp,*wp0,*ci,wf,*nx,*ny,*nxvh,
*nyv,*nxhd,*nyhd);
return;
}
/*--------------------------------------------------------------------*/
void caddvrfield2_(float *a, float *b, float *c, int *ndim, int *nxe,
int *nye) {
caddvrfield2(a,b,c,*ndim,*nxe,*nye);
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rinit_(int *mixup, float complex *sct, int *indx, int *indy,
int *nxhyd, int *nxyhd) {
cwfft2rinit(mixup,sct,*indx,*indy,*nxhyd,*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmxx_(float complex *f, int *isign, int *mixup,
float complex *sct, int *indx, int *indy, int *nyi,
int *nyp, int *nxhd, int *nyd, int *nxhyd, int *nxyhd) {
cfft2rmxx(f,*isign,mixup,sct,*indx,*indy,*nyi,*nyp,*nxhd,*nyd,*nxhyd,
*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmxy_(float complex *f, int *isign, int *mixup,
float complex *sct, int *indx, int *indy, int *nxi,
int *nxp, int *nxhd, int *nyd, int *nxhyd, int *nxyhd) {
cfft2rmxy(f,*isign,mixup,sct,*indx,*indy,*nxi,*nxp,*nxhd,*nyd,*nxhyd,
*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cfft2rm3x_(float complex *f, int *isign, int *mixup,
float complex *sct, int *indx, int *indy, int *nyi,
int *nyp, int *nxhd, int *nyd, int *nxhyd, int *nxyhd) {
cfft2rm3x(f,*isign,mixup,sct,*indx,*indy,*nyi,*nyp,*nxhd,*nyd,*nxhyd,
*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cfft2rm3y_(float complex *f, int *isign, int *mixup,
float complex *sct, int *indx, int *indy, int *nxi,
int *nxp, int *nxhd, int *nyd, int *nxhyd, int *nxyhd) {
cfft2rm3y(f,*isign,mixup,sct,*indx,*indy,*nxi,*nxp,*nxhd,*nyd,*nxhyd,
*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmnx_(float complex *f, float complex *ss, int *isign,
int *mixup, float complex *sct, int *indx, int *indy,
int *nyi, int *nyp, int *nxhd, int *nyd, int *ndim,
int *nxhyd, int *nxyhd) {
cfft2rmnx(f,ss,*isign,mixup,sct,*indx,*indy,*nyi,*nyp,*nxhd,*nyd,
*ndim,*nxhyd,*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cfft2rmny_(float complex *f, int *isign, int *mixup,
float complex *sct, int *indx, int *indy, int *nxi,
int *nxp, int *nxhd, int *nyd, int *ndim, int *nxhyd,
int *nxyhd) {
cfft2rmny(f,*isign,mixup,sct,*indx,*indy,*nxi,*nxp,*nxhd,*nyd,*ndim,
*nxhyd,*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rmx_(float complex *f, int *isign, int *mixup,
float complex *sct, int *indx, int *indy, int *nxhd,
int *nyd, int *nxhyd, int *nxyhd) {
cwfft2rmx(f,*isign,mixup,sct,*indx,*indy,*nxhd,*nyd,*nxhyd,*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rm3_(float complex *f, int *isign, int *mixup,
float complex *sct, int *indx, int *indy, int *nxhd,
int *nyd, int *nxhyd, int *nxyhd) {
cwfft2rm3(f,*isign,mixup,sct,*indx,*indy,*nxhd,*nyd,*nxhyd,*nxyhd);
return;
}
/*--------------------------------------------------------------------*/
void cwfft2rmn_(float complex *f, float complex *ss, int *isign,
int *mixup, float complex *sct, int *indx, int *indy,
int *nxhd, int *nyd, int *ndim, int *nxhyd, int *nxyhd) {
cwfft2rmn(f,ss,*isign,mixup,sct,*indx,*indy,*nxhd,*nyd,*ndim,*nxhyd,
*nxyhd);
return;
}
|
contact_residualbased_elimination_builder_and_solver_with_constraints.h | // KRATOS ______ __ __ _____ __ __ __
// / ____/___ ____ / /_____ ______/ /_/ ___// /________ _______/ /___ ___________ _/ /
// / / / __ \/ __ \/ __/ __ `/ ___/ __/\__ \/ __/ ___/ / / / ___/ __/ / / / ___/ __ `/ /
// / /___/ /_/ / / / / /_/ /_/ / /__/ /_ ___/ / /_/ / / /_/ / /__/ /_/ /_/ / / / /_/ / /
// \____/\____/_/ /_/\__/\__,_/\___/\__//____/\__/_/ \__,_/\___/\__/\__,_/_/ \__,_/_/ MECHANICS
//
// License: BSD License
// license: ContactStructuralMechanicsApplication/license.txt
//
// Main authors: Vicente Mataix Ferrandiz
//
//
#if !defined(KRATOS_CONTACT_RESIDUAL_BASED_ELIMINATION_BUILDER_AND_SOLVER_WITH_CONSTRAINTS )
#define KRATOS_CONTACT_RESIDUAL_BASED_ELIMINATION_BUILDER_AND_SOLVER_WITH_CONSTRAINTS
/* System includes */
#include <unordered_set>
#include <unordered_map>
/* External includes */
/* Project includes */
#include "solving_strategies/builder_and_solvers/residualbased_elimination_builder_and_solver_with_constraints.h"
namespace Kratos
{
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
/**
* @class ContactResidualBasedEliminationBuilderAndSolverWithConstraints
* @ingroup ContactStructuralMechanicsApplication
* @brief Current class provides an implementation for contact builder and solving operations. (elimination)
* @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 and not considered the inactive ones. Imposition of the dirichlet conditions is naturally dealt with as the residual already contains this information. Calculation of the reactions involves a cost very similiar to the calculation of the total residual
* @author Vicente Mataix Ferrandiz
* @tparam TSparseSpace The sparse matrix system considered
* @tparam TDenseSpace The dense matrix system
* @tparam TLinearSolver The type of linear solver considered
*/
template<class TSparseSpace,
class TDenseSpace, //= DenseSpace<double>,
class TLinearSolver //= LinearSolver<TSparseSpace,TDenseSpace>
>
class ContactResidualBasedEliminationBuilderAndSolverWithConstraints
: public ResidualBasedEliminationBuilderAndSolverWithConstraints< TSparseSpace, TDenseSpace, TLinearSolver >
{
public:
///@name Type Definitions
///@{
/// Pointer definition of ContactResidualBasedEliminationBuilderAndSolverWithConstraints
KRATOS_CLASS_POINTER_DEFINITION(ContactResidualBasedEliminationBuilderAndSolverWithConstraints);
/// Builder and solver base class
typedef BuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver> BaseBuilderAndSolverType;
/// Definitions dependent of the base class
typedef ResidualBasedEliminationBuilderAndSolverWithConstraints< TSparseSpace, TDenseSpace, TLinearSolver > BaseType;
/// The definition of the current class
typedef ContactResidualBasedEliminationBuilderAndSolverWithConstraints<TSparseSpace, TDenseSpace, TLinearSolver> ClassType;
/// Base types definitions
typedef typename BaseType::TSchemeType TSchemeType;
typedef typename BaseType::TDataType TDataType;
typedef typename BaseType::DofsArrayType DofsArrayType;
typedef typename BaseType::TSystemMatrixType TSystemMatrixType;
typedef typename BaseType::TSystemVectorType TSystemVectorType;
typedef typename BaseType::LocalSystemVectorType LocalSystemVectorType;
typedef typename BaseType::LocalSystemMatrixType LocalSystemMatrixType;
typedef typename BaseType::TSystemMatrixPointerType TSystemMatrixPointerType;
typedef typename BaseType::TSystemVectorPointerType TSystemVectorPointerType;
typedef typename BaseType::NodeType NodeType;
typedef typename BaseType::NodesArrayType NodesArrayType;
typedef typename BaseType::ElementsArrayType ElementsArrayType;
typedef typename BaseType::ConditionsArrayType ConditionsArrayType;
/// General containers type definitions
typedef ModelPart::MasterSlaveConstraintContainerType ConstraintContainerType;
/// Additional definitions
typedef typename BaseType::ElementsContainerType ElementsContainerType;
typedef typename BaseType::EquationIdVectorType EquationIdVectorType;
typedef typename BaseType::DofsVectorType DofsVectorType;
/// DoF types definition
typedef typename BaseType::DofType DofType;
typedef typename BaseType::DofPointerType DofPointerType;
/// The DoF pointer vector type definition
typedef std::vector<typename DofType::Pointer> DofPointerVectorType;
/// The size type
typedef std::size_t SizeType;
/// The index type
typedef std::size_t IndexType;
/// Index set definition
typedef std::unordered_set<IndexType> IndexSetType;
///@}
///@name Enum's
///@{
///@}
///@name Life Cycle
///@{
/**
* @brief Default constructor
*/
explicit ContactResidualBasedEliminationBuilderAndSolverWithConstraints() : BaseType()
{
}
/**
* @brief Default constructor. (with parameters)
*/
explicit ContactResidualBasedEliminationBuilderAndSolverWithConstraints(
typename TLinearSolver::Pointer pNewLinearSystemSolver,
Parameters ThisParameters
) : BaseType(pNewLinearSystemSolver)
{
// Validate and assign defaults
ThisParameters = this->ValidateAndAssignParameters(ThisParameters, this->GetDefaultParameters());
this->AssignSettings(ThisParameters);
}
/** Constructor.
*/
ContactResidualBasedEliminationBuilderAndSolverWithConstraints(
typename TLinearSolver::Pointer pNewLinearSystemSolver)
: BaseType(pNewLinearSystemSolver)
{
}
/** Destructor.
*/
~ContactResidualBasedEliminationBuilderAndSolverWithConstraints() override
{
}
///@}
///@name Operators
///@{
///@}
///@name Operations
///@{
/**
* @brief Create method
* @param pNewLinearSystemSolver The linear solver for the system of equations
* @param ThisParameters The configuration parameters
*/
typename BaseBuilderAndSolverType::Pointer Create(
typename TLinearSolver::Pointer pNewLinearSystemSolver,
Parameters ThisParameters
) const override
{
return Kratos::make_shared<ClassType>(pNewLinearSystemSolver,ThisParameters);
}
/**
* @brief It organises the dofset in order to speed up the building phase
* @param rModelPart The model part to compute
*/
void SetUpSystem(
ModelPart& rModelPart
) override
{
if(rModelPart.MasterSlaveConstraints().size() > 0)
SetUpSystemWithConstraints(rModelPart);
else
BaseSetUpSystem(rModelPart);
}
/**
* @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 BuilderAndSolver as it is closely connected to the
* way the matrix and RHS are built
* @param pScheme The integration scheme considered
* @param rModelPart The model part of the problem to solve
*/
void SetUpDofSet(
typename TSchemeType::Pointer pScheme,
ModelPart& rModelPart
) override
{
if(rModelPart.MasterSlaveConstraints().size() > 0)
SetUpDofSetWithConstraints(pScheme, rModelPart);
else
BaseType::SetUpDofSet(pScheme, rModelPart);
}
/**
* @brief This method provides the defaults parameters to avoid conflicts between the different constructors
* @return The default parameters
*/
Parameters GetDefaultParameters() const override
{
Parameters default_parameters = Parameters(R"(
{
"name" : "contact_residual_elimination_builder_and_solver_with_constraints"
})");
// Getting base class default parameters
const Parameters base_default_parameters = BaseType::GetDefaultParameters();
default_parameters.RecursivelyAddMissingParameters(base_default_parameters);
return default_parameters;
}
/**
* @brief Returns the name of the class as used in the settings (snake_case format)
* @return The name of the class
*/
static std::string Name()
{
return "contact_residual_elimination_builder_and_solver_with_constraints";
}
///@}
///@name Access
///@{
///@}
///@name Inquiry
///@{
///@}
///@name Friends
///@{
///@}
protected:
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
///@}
///@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 Equivalent to the ResidualBasedEliminationBuilderAndSolver but with constraints. The list of dofs is stores insde the BuilderAndSolver as it is closely connected to the way the matrix and RHS are built
* @param pScheme The integration scheme considered
* @param rModelPart The model part of the problem to solve
*/
void SetUpDofSetWithConstraints(
typename TSchemeType::Pointer pScheme,
ModelPart& rModelPart
)
{
KRATOS_TRY;
// We are going to enforce the existence of constraints for LM for each displacement dof
if (rModelPart.NodesBegin()->SolutionStepsDataHas(VECTOR_LAGRANGE_MULTIPLIER)) {
// Reorder constrains
IndexType constraint_id = 1;
for (auto& constrain : rModelPart.MasterSlaveConstraints()) {
constrain.SetId(constraint_id);
++constraint_id;
}
// Auxiliar dofs lists
DofsVectorType dof_list, second_dof_list; // NOTE: The second dof list is only used on constraints to include master/slave relations
// Contributions to the system
LocalSystemMatrixType transformation_matrix = LocalSystemMatrixType(0, 0);
LocalSystemVectorType constant_vector = LocalSystemVectorType(0);
// Reference constraint
const auto& r_clone_constraint = KratosComponents<MasterSlaveConstraint>::Get("LinearMasterSlaveConstraint");
#pragma omp parallel firstprivate(transformation_matrix, constant_vector, dof_list, second_dof_list)
{
// Current process info
ProcessInfo& r_current_process_info = rModelPart.GetProcessInfo();
// A buffer to store auxiliar constraints
ConstraintContainerType constraints_buffer;
// Gets the array of constraints from the modeler
auto& r_constraints_array = rModelPart.MasterSlaveConstraints();
const int number_of_constraints = static_cast<int>(r_constraints_array.size());
#pragma omp for schedule(guided, 512)
for (int i = 0; i < number_of_constraints; ++i) {
auto it_const = r_constraints_array.begin() + i;
// Gets list of Dof involved on every element
it_const->GetDofList(dof_list, second_dof_list, r_current_process_info);
it_const->CalculateLocalSystem(transformation_matrix, constant_vector, r_current_process_info);
DofPointerVectorType slave_dofs, master_dofs;
bool create_lm_constraint = false;
// We check if we have SLAVE nodes in the master dofs
bool slave_nodes_master_dof = false;
// Master DoFs
for (auto& p_dof : second_dof_list) {
if (IsDisplacementDof(*p_dof)) {
const IndexType node_id = p_dof->Id();
auto pnode = rModelPart.pGetNode(node_id);
if (pnode->Is(SLAVE)) { // The nodes computing contact are the slave nodes
slave_nodes_master_dof = true;
break;
}
}
}
// Slave DoFs
for (auto& p_dof : dof_list) {
if (IsDisplacementDof(*p_dof)) {
const IndexType node_id = p_dof->Id();
const auto& r_variable = p_dof->GetVariable();
auto pnode = rModelPart.pGetNode(node_id);
if (pnode->IsNot(INTERFACE) || slave_nodes_master_dof) { // Nodes from the contact interface cannot be slave DoFs
if (r_variable == DISPLACEMENT_X) {
slave_dofs.push_back(pnode->pGetDof(VECTOR_LAGRANGE_MULTIPLIER_X));
} else if (r_variable == DISPLACEMENT_Y) {
slave_dofs.push_back(pnode->pGetDof(VECTOR_LAGRANGE_MULTIPLIER_Y));
} else if (r_variable == DISPLACEMENT_Z) {
slave_dofs.push_back(pnode->pGetDof(VECTOR_LAGRANGE_MULTIPLIER_Z));
}
} else { // We remove it
it_const->Set(TO_ERASE);
}
}
}
// Master DoFs
if (slave_nodes_master_dof) { // The nodes computing contact are the slave nodes
for (auto& p_dof : second_dof_list) {
if (IsDisplacementDof(*p_dof)) {
const IndexType node_id = p_dof->Id();
const auto& r_variable = p_dof->GetVariable();
auto pnode = rModelPart.pGetNode(node_id);
if (r_variable == DISPLACEMENT_X) {
master_dofs.push_back(pnode->pGetDof(VECTOR_LAGRANGE_MULTIPLIER_X));
} else if (r_variable == DISPLACEMENT_Y) {
master_dofs.push_back(pnode->pGetDof(VECTOR_LAGRANGE_MULTIPLIER_Y));
} else if (r_variable == DISPLACEMENT_Z) {
master_dofs.push_back(pnode->pGetDof(VECTOR_LAGRANGE_MULTIPLIER_Z));
}
}
}
}
// We check if we create constraints
if ((slave_dofs.size() == dof_list.size()) &&
(master_dofs.size() == second_dof_list.size())) {
create_lm_constraint = true;
}
// We create the new constraint
if (create_lm_constraint) {
auto p_constraint = r_clone_constraint.Create(constraint_id + i + 1, master_dofs, slave_dofs, transformation_matrix, constant_vector);
(constraints_buffer).insert((constraints_buffer).begin(), p_constraint);
}
}
// We transfer
#pragma omp critical
{
rModelPart.AddMasterSlaveConstraints(constraints_buffer.begin(),constraints_buffer.end());
}
}
}
// We remove the marked constraints
rModelPart.RemoveMasterSlaveConstraintsFromAllLevels(TO_ERASE);
KRATOS_INFO_IF("ContactResidualBasedEliminationBuilderAndSolverWithConstraints", (this->GetEchoLevel() > 0)) <<
"Model part after creating new constraints" << rModelPart << std::endl;
// Calling base SetUpDofSetWithConstraints
BaseType::SetUpDofSetWithConstraints(pScheme, rModelPart);
KRATOS_CATCH("");
}
/**
* @brief This method assigns settings to member variables
* @param ThisParameters Parameters that are assigned to the member variables
*/
void AssignSettings(const Parameters ThisParameters) override
{
BaseType::AssignSettings(ThisParameters);
}
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
private:
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
/**
* @brief This method computes the equivalent coounter part of the SetUpSystem when using constraints
* @param rModelPart The model part of the problem to solve
*/
void SetUpSystemWithConstraints(ModelPart& rModelPart)
{
KRATOS_TRY
// First we set up the system of equations without constraints
BaseSetUpSystem(rModelPart);
// Add the computation of the global ids of the solvable dofs
IndexType counter = 0;
for (auto& dof : BaseType::mDofSet) {
if (dof.EquationId() < BaseType::mEquationSystemSize) {
auto it = BaseType::mDoFSlaveSet.find(dof);
if (it == BaseType::mDoFSlaveSet.end()) {
++counter;
}
}
}
// The total system of equations to be solved
BaseType::mDoFToSolveSystemSize = counter;
KRATOS_CATCH("ContactResidualBasedEliminationBuilderAndSolverWithConstraints::FormulateGlobalMasterSlaveRelations failed ..");
}
/**
* @brief It organises the dofset in order to speed up the building phase (base one)
* @param rModelPart The model part to compute
*/
void BaseSetUpSystem(ModelPart& rModelPart)
{
/**
* Idem to the not contact version, except that if we fix the displacement in one slave node we should fix the corresponding LM for consistency
*/
// We create a set of dofs of the displacement slave dofs with LM associated
std::unordered_map<IndexType, IndexSetType> set_nodes_with_lm_associated;
if (rModelPart.HasSubModelPart("Contact"))
set_nodes_with_lm_associated.reserve(rModelPart.GetSubModelPart("Contact").NumberOfNodes());
// Allocating auxiliar parameters
IndexType node_id;
// We start the dof loop
for (auto& i_dof : BaseType::mDofSet) {
node_id = i_dof.Id();
if (IsLMDof(i_dof))
set_nodes_with_lm_associated.insert({node_id, IndexSetType({})});
}
// Auxiliar keys
const IndexType key_lm_x = VECTOR_LAGRANGE_MULTIPLIER_X.Key();
const IndexType key_lm_y = VECTOR_LAGRANGE_MULTIPLIER_Y.Key();
const IndexType key_lm_z = VECTOR_LAGRANGE_MULTIPLIER_Z.Key();
// We see which LM block
for (auto& i_dof : BaseType::mDofSet) {
node_id = i_dof.Id();
auto it = set_nodes_with_lm_associated.find(node_id);
if ( it != set_nodes_with_lm_associated.end()) {
if (i_dof.IsFixed()) {
const auto& r_variable = i_dof.GetVariable();
auto& aux_set = (it->second);
if (r_variable == DISPLACEMENT_X) {
aux_set.insert(key_lm_x);
} else if (r_variable == DISPLACEMENT_Y) {
aux_set.insert(key_lm_y);
} else if (r_variable == DISPLACEMENT_Z) {
aux_set.insert(key_lm_z);
}
}
}
}
// We do now the loop over the dofs
for (auto& i_dof : BaseType::mDofSet) {
if (i_dof.IsFree()) {
node_id = i_dof.Id();
auto it = set_nodes_with_lm_associated.find(node_id);
if (it != set_nodes_with_lm_associated.end()) {
auto& aux_set = it->second;
if (aux_set.find((i_dof.GetVariable()).Key()) != aux_set.end()) {
i_dof.FixDof();
}
}
}
}
BaseType::SetUpSystem(rModelPart);
}
/**
* @brief Checks if the degree of freedom belongs to a displacement DoF
* @param rDoF The degree of freedom
* @return True if the DoF corresponds with a displacement dof
*/
static inline bool IsDisplacementDof(const DofType& rDoF)
{
const auto& r_variable = rDoF.GetVariable();
if (r_variable == DISPLACEMENT_X ||
r_variable == DISPLACEMENT_Y ||
r_variable == DISPLACEMENT_Z) {
return true;
}
return false;
}
/**
* @brief Checks if the degree of freedom belongs to a LM DoF
* @param rDoF The degree of freedom
* @return True if the DoF corresponds with a LM dof
*/
static inline bool IsLMDof(const DofType& rDoF)
{
const auto& r_variable = rDoF.GetVariable();
if (r_variable == VECTOR_LAGRANGE_MULTIPLIER_X ||
r_variable == VECTOR_LAGRANGE_MULTIPLIER_Y ||
r_variable == VECTOR_LAGRANGE_MULTIPLIER_Z) {
return true;
}
return false;
}
///@}
///@name Private Access
///@{
///@}
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
///@}
}; /* Class ContactResidualBasedEliminationBuilderAndSolverWithConstraints */
///@}
///@name Type Definitions */
///@{
///@}
} /* namespace Kratos.*/
#endif /* KRATOS_CONTACT_RESIDUAL_BASED_ELIMINATION_BUILDER_AND_SOLVER_WITH_CONSTRAINTS defined */
|
DRB083-declared-in-func-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.
*/
/*
A variable is declared inside a function called within a parallel region.
The variable should be private if it does not use static storage.
*/
#include "omprace.h"
#include <omp.h>
void foo()
{
int q=0;
q += 1;
}
int main()
{
omprace_init();
#pragma omp parallel
{
foo();
}
omprace_fini();
return 0;
}
|
GB_binop__pair_fc64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_mkl.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__pair_fc64
// A.*B function (eWiseMult): GB_AemultB__pair_fc64
// A*D function (colscale): GB_AxD__pair_fc64
// D*A function (rowscale): GB_DxB__pair_fc64
// C+=B function (dense accum): GB_Cdense_accumB__pair_fc64
// C+=b function (dense accum): GB_Cdense_accumb__pair_fc64
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__pair_fc64
// C=scalar+B (none)
// C=scalar+B' (none)
// C=A+scalar (none)
// C=A'+scalar (none)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// B,b type: GxB_FC64_t
// BinaryOp: cij = GxB_CMPLX(1,0)
#define GB_ATYPE \
GxB_FC64_t
#define GB_BTYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
;
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
;
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y) \
z = GxB_CMPLX(1,0) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_PAIR || GxB_NO_FC64 || GxB_NO_PAIR_FC64)
//------------------------------------------------------------------------------
// 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__pair_fc64
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__pair_fc64
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__pair_fc64
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC64_t
GxB_FC64_t bwork = (*((GxB_FC64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__pair_fc64
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *GB_RESTRICT Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__pair_fc64
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *GB_RESTRICT Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB_AaddB__pair_fc64
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_add_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__pair_fc64
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
#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,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t x = (*((GxB_FC64_t *) x_input)) ;
GxB_FC64_t *Bx = (GxB_FC64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
; ;
Cx [p] = GxB_CMPLX(1,0) ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info (none)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t *Ax = (GxB_FC64_t *) Ax_input ;
GxB_FC64_t y = (*((GxB_FC64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
; ;
Cx [p] = GxB_CMPLX(1,0) ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typcasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = GxB_CMPLX(1,0) ; \
}
GrB_Info (none)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t x = (*((const GxB_FC64_t *) x_input)) ;
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (aij, y), no typcasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = GxB_CMPLX(1,0) ; \
}
GrB_Info (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t y = (*((const GxB_FC64_t *) y_input)) ;
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
3d25pt_var.c | /*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 24;
tile_size[3] = 32;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] =
coef[0][i][j][k] * A[(t)%2][i ][j ][k ] +
coef[1][i][j][k] * (A[(t)%2][i-1][j ][k ] + A[(t)%2][i+1][j ][k ]) +
coef[2][i][j][k] * (A[(t)%2][i ][j-1][k ] + A[(t)%2][i ][j+1][k ]) +
coef[3][i][j][k] * (A[(t)%2][i ][j ][k-1] + A[(t)%2][i ][j ][k+1]) +
coef[4][i][j][k] * (A[(t)%2][i-2][j ][k ] + A[(t)%2][i+2][j ][k ]) +
coef[5][i][j][k] * (A[(t)%2][i ][j-2][k ] + A[(t)%2][i ][j+2][k ]) +
coef[6][i][j][k] * (A[(t)%2][i ][j ][k-2] + A[(t)%2][i ][j ][k+2]) +
coef[7][i][j][k] * (A[(t)%2][i-3][j ][k ] + A[(t)%2][i+3][j ][k ]) +
coef[8][i][j][k] * (A[(t)%2][i ][j-3][k ] + A[(t)%2][i ][j+3][k ]) +
coef[9][i][j][k] * (A[(t)%2][i ][j ][k-3] + A[(t)%2][i ][j ][k+3]) +
coef[10][i][j][k]* (A[(t)%2][i-4][j ][k ] + A[(t)%2][i+4][j ][k ]) +
coef[11][i][j][k]* (A[(t)%2][i ][j-4][k ] + A[(t)%2][i ][j+4][k ]) +
coef[12][i][j][k]* (A[(t)%2][i ][j ][k-4] + A[(t)%2][i ][j ][k+4]) ;
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
loop_array_test.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main()
{
int* array = (int*)malloc(sizeof(int)*10);
#pragma omp parallel for
{
for(int i = 0; i < 10; i++)
{
array[i] = i;
}
}
printf("[%d, %d, %d, %d, %d, %d, %d, %d, %d, %d]\n", array[0], array[1],array[2], array[3],array[4], array[5],array[6], array[7],array[8], array[9]);
}
|
dgemm.c | /*
Copyright (c) 2013, Intel Corporation
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided
with the distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products
derived from this software without specific prior written
permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
*/
/*********************************************************************************
NAME: dgemm
PURPOSE: This program tests the efficiency with which a dense matrix
dense multiplication is carried out
USAGE: The program takes as input the number of threads, the matrix
order, the number of times the matrix-matrix multiplication
is carried out, and, optionally, a tile size for matrix
blocking
<progname> <# threads> <# iterations> <matrix order> [<tile size>]
The output consists of diagnostics to make sure the
algorithm worked, and of timing statistics.
FUNCTIONS CALLED:
Other than OpenMP or standard C functions, the following
functions are used in this program:
wtime()
bail_out()
HISTORY: Written by Rob Van der Wijngaart, September 2006.
Made array dimensioning dynamic, October 2007
Allowed arbitrary block size, November 2007
Removed reverse-engineered MKL source code option, November 2007
Changed from row- to column-major storage order, November 2007
Stored blocks of B in transpose form, November 2007
***********************************************************************************/
#include <par-res-kern_general.h>
#include <par-res-kern_omp.h>
#if MKL
#include <mkl_cblas.h>
#endif
#define AA_arr(i,j) AA[(i)+(block+BOFFSET)*(j)]
#define BB_arr(i,j) BB[(i)+(block+BOFFSET)*(j)]
#define CC_arr(i,j) CC[(i)+(block+BOFFSET)*(j)]
#define A_arr(i,j) A[(i)+(order)*(j)]
#define B_arr(i,j) B[(i)+(order)*(j)]
#define C_arr(i,j) C[(i)+(order)*(j)]
#define forder (1.0*order)
int main(int argc, char **argv){
int iter, i,ii,j,jj,k,kk,ig,jg,kg; /* dummies */
int iterations; /* number of times the multiplication is done */
double dgemm_time, /* timing parameters */
avgtime;
double checksum = 0.0, /* checksum of result */
ref_checksum;
double epsilon = 1.e-8; /* error tolerance */
int nthread_input, /* thread parameters */
nthread;
int num_error=0; /* flag that signals that requested and
obtained numbers of threads are the same */
static
double * RESTRICT A, /* input (A,B) and output (C) matrices */
* RESTRICT B,
* RESTRICT C;
long order; /* number of rows and columns of matrices */
int block; /* tile size of matrices */
int shortcut; /* true if only doing initialization */
printf("Parallel Research Kernels version %s\n", PRKVERSION);
printf("OpenMP Dense matrix-matrix multiplication\n");
#if !MKL
if (argc != 4 && argc != 5) {
printf("Usage: %s <# threads> <# iterations> <matrix order> [tile size]\n",*argv);
#else
if (argc != 4) {
printf("Usage: %s <# threads> <# iterations> <matrix order>\n",*argv);
#endif
exit(EXIT_FAILURE);
}
/* Take number of threads to request from command line */
nthread_input = atoi(*++argv);
if ((nthread_input < 1) || (nthread_input > MAX_THREADS)) {
printf("ERROR: Invalid number of threads: %d\n", nthread_input);
exit(EXIT_FAILURE);
}
omp_set_num_threads(nthread_input);
iterations = atoi(*++argv);
if (iterations < 1){
printf("ERROR: Iterations must be positive : %d \n", iterations);
exit(EXIT_FAILURE);
}
order = atol(*++argv);
if (order < 0) {
shortcut = 1;
order = -order;
} else shortcut = 0;
if (order < 1) {
printf("ERROR: Matrix order must be positive: %ld\n", order);
exit(EXIT_FAILURE);
}
A = (double *) prk_malloc(order*order*sizeof(double));
B = (double *) prk_malloc(order*order*sizeof(double));
C = (double *) prk_malloc(order*order*sizeof(double));
if (!A || !B || !C) {
printf("ERROR: Could not allocate space for global matrices\n");
exit(EXIT_FAILURE);
}
ref_checksum = (0.25*forder*forder*forder*(forder-1.0)*(forder-1.0));
#pragma omp parallel for private(i,j)
for(j = 0; j < order; j++) for(i = 0; i < order; i++) {
A_arr(i,j) = B_arr(i,j) = (double) j;
C_arr(i,j) = 0.0;
}
#if !MKL
if (argc == 5) {
block = atoi(*++argv);
} else block = DEFAULTBLOCK;
#pragma omp parallel private (i,j,k,ii,jj,kk,ig,jg,kg,iter)
{
double * RESTRICT AA, * RESTRICT BB, * RESTRICT CC;
if (block > 0) {
/* matrix blocks for local temporary copies */
AA = (double *) prk_malloc(block*(block+BOFFSET)*3*sizeof(double));
if (!AA) {
num_error = 1;
printf("Could not allocate space for matrix tiles on thread %d\n",
omp_get_thread_num());
}
bail_out(num_error);
BB = AA + block*(block+BOFFSET);
CC = BB + block*(block+BOFFSET);
}
#pragma omp master
{
nthread = omp_get_num_threads();
if (nthread != nthread_input) {
num_error = 1;
printf("ERROR: number of requested threads %d does not equal ",
nthread_input);
printf("number of spawned threads %d\n", nthread);
}
else {
printf("Matrix order = %ld\n", order);
if (shortcut)
printf("Only doing initialization\n");
printf("Number of threads = %d\n", nthread_input);
if (block>0)
printf("Blocking factor = %d\n", block);
else
printf("No blocking\n");
printf("Block offset = %d\n", BOFFSET);
printf("Number of iterations = %d\n", iterations);
printf("Using MKL library = off\n");
}
}
bail_out(num_error);
if (shortcut) exit(EXIT_SUCCESS);
for (iter=0; iter<=iterations; iter++) {
if (iter==1) {
#pragma omp barrier
#pragma omp master
{
dgemm_time = wtime();
}
}
if (block > 0) {
#pragma omp for
for(jj = 0; jj < order; jj+=block){
for(kk = 0; kk < order; kk+=block) {
for (jg=jj,j=0; jg<MIN(jj+block,order); j++,jg++)
for (kg=kk,k=0; kg<MIN(kk+block,order); k++,kg++)
BB_arr(j,k) = B_arr(kg,jg);
for(ii = 0; ii < order; ii+=block){
for (kg=kk,k=0; kg<MIN(kk+block,order); k++,kg++)
for (ig=ii,i=0; ig<MIN(ii+block,order); i++,ig++)
AA_arr(i,k) = A_arr(ig,kg);
for (jg=jj,j=0; jg<MIN(jj+block,order); j++,jg++)
for (ig=ii,i=0; ig<MIN(ii+block,order); i++,ig++)
CC_arr(i,j) = 0.0;
for (kg=kk,k=0; kg<MIN(kk+block,order); k++,kg++)
for (jg=jj,j=0; jg<MIN(jj+block,order); j++,jg++)
for (ig=ii,i=0; ig<MIN(ii+block,order); i++,ig++)
CC_arr(i,j) += AA_arr(i,k)*BB_arr(j,k);
for (jg=jj,j=0; jg<MIN(jj+block,order); j++,jg++)
for (ig=ii,i=0; ig<MIN(ii+block,order); i++,ig++)
C_arr(ig,jg) += CC_arr(i,j);
}
}
}
}
else {
#pragma omp for
for (jg=0; jg<order; jg++)
for (kg=0; kg<order; kg++)
for (ig=0; ig<order; ig++)
C_arr(ig,jg) += A_arr(ig,kg)*B_arr(kg,jg);
}
} /* end of iterations */
#pragma omp barrier
#pragma omp master
{
dgemm_time = wtime() - dgemm_time;
}
} /* end of parallel region */
#else
printf("Matrix size = %ldx%ld\n", order, order);
printf("Number of threads = %d\n", nthread_input);
printf("Using MKL library = on\n");
printf("Number of iterations = %d\n", iterations);
for (iter=0; iter<=iterations; iter++) {
if (iter==1) dgemm_time = wtime();
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, order, order,
order, 1.0, &(A_arr(0,0)), order, &(B_arr(0,0)), order,
1.0, &(C_arr(0,0)), order);
}
dgemm_time = wtime()-dgemm_time;
#endif
for(checksum=0.0,j = 0; j < order; j++) for(i = 0; i < order; i++)
checksum += C_arr(i,j);
/* verification test */
ref_checksum *= (iterations+1);
if (ABS((checksum - ref_checksum)/ref_checksum) > epsilon) {
printf("ERROR: Checksum = %lf, Reference checksum = %lf\n",
checksum, ref_checksum);
exit(EXIT_FAILURE);
}
else {
printf("Solution validates\n");
#if VERBOSE
printf("Reference checksum = %lf, checksum = %lf\n",
ref_checksum, checksum);
#endif
}
double nflops = 2.0*forder*forder*forder;
avgtime = dgemm_time/iterations;
printf("Rate (MFlops/s): %lf Avg time (s): %lf\n",
1.0E-06 *nflops/avgtime, avgtime);
exit(EXIT_SUCCESS);
}
|
OpenMPClause.h | //===- OpenMPClause.h - Classes for OpenMP clauses --------------*- C++ -*-===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
/// \file
/// \brief This file defines OpenMP AST classes for clauses.
/// There are clauses for executable directives, clauses for declarative
/// directives and clauses which can be used in both kinds of directives.
///
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_AST_OPENMPCLAUSE_H
#define LLVM_CLANG_AST_OPENMPCLAUSE_H
#include "clang/AST/Expr.h"
#include "clang/AST/Stmt.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/SourceLocation.h"
namespace clang {
//===----------------------------------------------------------------------===//
// AST classes for clauses.
// //
///////////////////////////////////////////////////////////////////////////////
/// \brief This is a basic class for representing single OpenMP clause.
///
class OMPClause {
/// \brief Starting location of the clause (the clause keyword).
SourceLocation StartLoc;
/// \brief Ending location of the clause.
SourceLocation EndLoc;
/// \brief Kind of the clause.
OpenMPClauseKind Kind;
protected:
OMPClause(OpenMPClauseKind K, SourceLocation StartLoc, SourceLocation EndLoc)
: StartLoc(StartLoc), EndLoc(EndLoc), Kind(K) {}
public:
/// \brief Returns the starting location of the clause.
SourceLocation getLocStart() const { return StartLoc; }
/// \brief Returns the ending location of the clause.
SourceLocation getLocEnd() const { return EndLoc; }
/// \brief Sets the starting location of the clause.
void setLocStart(SourceLocation Loc) { StartLoc = Loc; }
/// \brief Sets the ending location of the clause.
void setLocEnd(SourceLocation Loc) { EndLoc = Loc; }
/// \brief Returns kind of OpenMP clause (private, shared, reduction, etc.).
OpenMPClauseKind getClauseKind() const { return Kind; }
bool isImplicit() const { return StartLoc.isInvalid(); }
StmtRange children();
ConstStmtRange children() const {
return const_cast<OMPClause *>(this)->children();
}
static bool classof(const OMPClause *) { return true; }
};
/// \brief This represents clauses with the list of variables like 'private',
/// 'firstprivate', 'copyin', 'shared', or 'reduction' clauses in the
/// '#pragma omp ...' directives.
template <class T> class OMPVarListClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief Number of variables in the list.
unsigned NumVars;
protected:
/// \brief Fetches list of variables associated with this clause.
MutableArrayRef<Expr *> getVarRefs() {
return MutableArrayRef<Expr *>(
reinterpret_cast<Expr **>(
reinterpret_cast<char *>(this) +
llvm::RoundUpToAlignment(sizeof(T), llvm::alignOf<Expr *>())),
NumVars);
}
/// \brief Sets the list of variables for this clause.
void setVarRefs(ArrayRef<Expr *> VL) {
assert(VL.size() == NumVars &&
"Number of variables is not the same as the preallocated buffer");
std::copy(
VL.begin(), VL.end(),
reinterpret_cast<Expr **>(
reinterpret_cast<char *>(this) +
llvm::RoundUpToAlignment(sizeof(T), llvm::alignOf<Expr *>())));
}
/// \brief Build a clause with \a N variables
///
/// \param K Kind of the clause.
/// \param StartLoc Starting location of the clause (the clause keyword).
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPVarListClause(OpenMPClauseKind K, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc, unsigned N)
: OMPClause(K, StartLoc, EndLoc), LParenLoc(LParenLoc), NumVars(N) {}
public:
typedef MutableArrayRef<Expr *>::iterator varlist_iterator;
typedef ArrayRef<const Expr *>::iterator varlist_const_iterator;
typedef llvm::iterator_range<varlist_iterator> varlist_range;
typedef llvm::iterator_range<varlist_const_iterator> varlist_const_range;
unsigned varlist_size() const { return NumVars; }
bool varlist_empty() const { return NumVars == 0; }
varlist_range varlists() {
return varlist_range(varlist_begin(), varlist_end());
}
varlist_const_range varlists() const {
return varlist_const_range(varlist_begin(), varlist_end());
}
varlist_iterator varlist_begin() { return getVarRefs().begin(); }
varlist_iterator varlist_end() { return getVarRefs().end(); }
varlist_const_iterator varlist_begin() const { return getVarRefs().begin(); }
varlist_const_iterator varlist_end() const { return getVarRefs().end(); }
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Fetches list of all variables in the clause.
ArrayRef<const Expr *> getVarRefs() const {
return llvm::makeArrayRef(
reinterpret_cast<const Expr *const *>(
reinterpret_cast<const char *>(this) +
llvm::RoundUpToAlignment(sizeof(T), llvm::alignOf<const Expr *>())),
NumVars);
}
};
/// \brief This represents 'if' clause in the '#pragma omp ...' directive.
///
/// \code
/// #pragma omp parallel if(a > 5)
/// \endcode
/// In this example directive '#pragma omp parallel' has simple 'if'
/// clause with condition 'a > 5'.
///
class OMPIfClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief Condition of the 'if' clause.
Stmt *Condition;
/// \brief Set condition.
///
void setCondition(Expr *Cond) { Condition = Cond; }
public:
/// \brief Build 'if' clause with condition \a Cond.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param Cond Condition of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPIfClause(Expr *Cond, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc)
: OMPClause(OMPC_if, StartLoc, EndLoc), LParenLoc(LParenLoc),
Condition(Cond) {}
/// \brief Build an empty clause.
///
OMPIfClause()
: OMPClause(OMPC_if, SourceLocation(), SourceLocation()),
LParenLoc(SourceLocation()), Condition(nullptr) {}
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Returns condition.
Expr *getCondition() const { return cast_or_null<Expr>(Condition); }
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_if;
}
StmtRange children() { return StmtRange(&Condition, &Condition + 1); }
};
/// \brief This represents 'final' clause in the '#pragma omp ...' directive.
///
/// \code
/// #pragma omp task final(a > 5)
/// \endcode
/// In this example directive '#pragma omp task' has simple 'final'
/// clause with condition 'a > 5'.
///
class OMPFinalClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief Condition of the 'if' clause.
Stmt *Condition;
/// \brief Set condition.
///
void setCondition(Expr *Cond) { Condition = Cond; }
public:
/// \brief Build 'final' clause with condition \a Cond.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param Cond Condition of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPFinalClause(Expr *Cond, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc)
: OMPClause(OMPC_final, StartLoc, EndLoc), LParenLoc(LParenLoc),
Condition(Cond) {}
/// \brief Build an empty clause.
///
OMPFinalClause()
: OMPClause(OMPC_final, SourceLocation(), SourceLocation()),
LParenLoc(SourceLocation()), Condition(nullptr) {}
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Returns condition.
Expr *getCondition() const { return cast_or_null<Expr>(Condition); }
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_final;
}
StmtRange children() { return StmtRange(&Condition, &Condition + 1); }
};
/// \brief This represents 'num_threads' clause in the '#pragma omp ...'
/// directive.
///
/// \code
/// #pragma omp parallel num_threads(6)
/// \endcode
/// In this example directive '#pragma omp parallel' has simple 'num_threads'
/// clause with number of threads '6'.
///
class OMPNumThreadsClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief Condition of the 'num_threads' clause.
Stmt *NumThreads;
/// \brief Set condition.
///
void setNumThreads(Expr *NThreads) { NumThreads = NThreads; }
public:
/// \brief Build 'num_threads' clause with condition \a NumThreads.
///
/// \param NumThreads Number of threads for the construct.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
///
OMPNumThreadsClause(Expr *NumThreads, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc)
: OMPClause(OMPC_num_threads, StartLoc, EndLoc), LParenLoc(LParenLoc),
NumThreads(NumThreads) {}
/// \brief Build an empty clause.
///
OMPNumThreadsClause()
: OMPClause(OMPC_num_threads, SourceLocation(), SourceLocation()),
LParenLoc(SourceLocation()), NumThreads(nullptr) {}
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Returns number of threads.
Expr *getNumThreads() const { return cast_or_null<Expr>(NumThreads); }
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_num_threads;
}
StmtRange children() { return StmtRange(&NumThreads, &NumThreads + 1); }
};
/// \brief This represents 'safelen' clause in the '#pragma omp ...'
/// directive.
///
/// \code
/// #pragma omp simd safelen(4)
/// \endcode
/// In this example directive '#pragma omp simd' has clause 'safelen'
/// with single expression '4'.
/// If the safelen clause is used then no two iterations executed
/// concurrently with SIMD instructions can have a greater distance
/// in the logical iteration space than its value. The parameter of
/// the safelen clause must be a constant positive integer expression.
///
class OMPSafelenClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief Safe iteration space distance.
Stmt *Safelen;
/// \brief Set safelen.
void setSafelen(Expr *Len) { Safelen = Len; }
public:
/// \brief Build 'safelen' clause.
///
/// \param Len Expression associated with this clause.
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPSafelenClause(Expr *Len, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc)
: OMPClause(OMPC_safelen, StartLoc, EndLoc), LParenLoc(LParenLoc),
Safelen(Len) {}
/// \brief Build an empty clause.
///
explicit OMPSafelenClause()
: OMPClause(OMPC_safelen, SourceLocation(), SourceLocation()),
LParenLoc(SourceLocation()), Safelen(nullptr) {}
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Return safe iteration space distance.
Expr *getSafelen() const { return cast_or_null<Expr>(Safelen); }
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_safelen;
}
StmtRange children() { return StmtRange(&Safelen, &Safelen + 1); }
};
/// \brief This represents 'collapse' clause in the '#pragma omp ...'
/// directive.
///
/// \code
/// #pragma omp simd collapse(3)
/// \endcode
/// In this example directive '#pragma omp simd' has clause 'collapse'
/// with single expression '3'.
/// The parameter must be a constant positive integer expression, it specifies
/// the number of nested loops that should be collapsed into a single iteration
/// space.
///
class OMPCollapseClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief Number of for-loops.
Stmt *NumForLoops;
/// \brief Set the number of associated for-loops.
void setNumForLoops(Expr *Num) { NumForLoops = Num; }
public:
/// \brief Build 'collapse' clause.
///
/// \param Num Expression associated with this clause.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
///
OMPCollapseClause(Expr *Num, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc)
: OMPClause(OMPC_collapse, StartLoc, EndLoc), LParenLoc(LParenLoc),
NumForLoops(Num) {}
/// \brief Build an empty clause.
///
explicit OMPCollapseClause()
: OMPClause(OMPC_collapse, SourceLocation(), SourceLocation()),
LParenLoc(SourceLocation()), NumForLoops(nullptr) {}
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Return the number of associated for-loops.
Expr *getNumForLoops() const { return cast_or_null<Expr>(NumForLoops); }
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_collapse;
}
StmtRange children() { return StmtRange(&NumForLoops, &NumForLoops + 1); }
};
/// \brief This represents 'default' clause in the '#pragma omp ...' directive.
///
/// \code
/// #pragma omp parallel default(shared)
/// \endcode
/// In this example directive '#pragma omp parallel' has simple 'default'
/// clause with kind 'shared'.
///
class OMPDefaultClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief A kind of the 'default' clause.
OpenMPDefaultClauseKind Kind;
/// \brief Start location of the kind in source code.
SourceLocation KindKwLoc;
/// \brief Set kind of the clauses.
///
/// \param K Argument of clause.
///
void setDefaultKind(OpenMPDefaultClauseKind K) { Kind = K; }
/// \brief Set argument location.
///
/// \param KLoc Argument location.
///
void setDefaultKindKwLoc(SourceLocation KLoc) { KindKwLoc = KLoc; }
public:
/// \brief Build 'default' clause with argument \a A ('none' or 'shared').
///
/// \param A Argument of the clause ('none' or 'shared').
/// \param ALoc Starting location of the argument.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
///
OMPDefaultClause(OpenMPDefaultClauseKind A, SourceLocation ALoc,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc)
: OMPClause(OMPC_default, StartLoc, EndLoc), LParenLoc(LParenLoc),
Kind(A), KindKwLoc(ALoc) {}
/// \brief Build an empty clause.
///
OMPDefaultClause()
: OMPClause(OMPC_default, SourceLocation(), SourceLocation()),
LParenLoc(SourceLocation()), Kind(OMPC_DEFAULT_unknown),
KindKwLoc(SourceLocation()) {}
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Returns kind of the clause.
OpenMPDefaultClauseKind getDefaultKind() const { return Kind; }
/// \brief Returns location of clause kind.
SourceLocation getDefaultKindKwLoc() const { return KindKwLoc; }
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_default;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'proc_bind' clause in the '#pragma omp ...'
/// directive.
///
/// \code
/// #pragma omp parallel proc_bind(master)
/// \endcode
/// In this example directive '#pragma omp parallel' has simple 'proc_bind'
/// clause with kind 'master'.
///
class OMPProcBindClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief A kind of the 'proc_bind' clause.
OpenMPProcBindClauseKind Kind;
/// \brief Start location of the kind in source code.
SourceLocation KindKwLoc;
/// \brief Set kind of the clause.
///
/// \param K Kind of clause.
///
void setProcBindKind(OpenMPProcBindClauseKind K) { Kind = K; }
/// \brief Set clause kind location.
///
/// \param KLoc Kind location.
///
void setProcBindKindKwLoc(SourceLocation KLoc) { KindKwLoc = KLoc; }
public:
/// \brief Build 'proc_bind' clause with argument \a A ('master', 'close' or
/// 'spread').
///
/// \param A Argument of the clause ('master', 'close' or 'spread').
/// \param ALoc Starting location of the argument.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
///
OMPProcBindClause(OpenMPProcBindClauseKind A, SourceLocation ALoc,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc)
: OMPClause(OMPC_proc_bind, StartLoc, EndLoc), LParenLoc(LParenLoc),
Kind(A), KindKwLoc(ALoc) {}
/// \brief Build an empty clause.
///
OMPProcBindClause()
: OMPClause(OMPC_proc_bind, SourceLocation(), SourceLocation()),
LParenLoc(SourceLocation()), Kind(OMPC_PROC_BIND_unknown),
KindKwLoc(SourceLocation()) {}
/// \brief Sets the location of '('.
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getLParenLoc() const { return LParenLoc; }
/// \brief Returns kind of the clause.
OpenMPProcBindClauseKind getProcBindKind() const { return Kind; }
/// \brief Returns location of clause kind.
SourceLocation getProcBindKindKwLoc() const { return KindKwLoc; }
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_proc_bind;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'schedule' clause in the '#pragma omp ...' directive.
///
/// \code
/// #pragma omp for schedule(static, 3)
/// \endcode
/// In this example directive '#pragma omp for' has 'schedule' clause with
/// arguments 'static' and '3'.
///
class OMPScheduleClause : public OMPClause {
friend class OMPClauseReader;
/// \brief Location of '('.
SourceLocation LParenLoc;
/// \brief A kind of the 'schedule' clause.
OpenMPScheduleClauseKind Kind;
/// \brief Start location of the schedule ind in source code.
SourceLocation KindLoc;
/// \brief Location of ',' (if any).
SourceLocation CommaLoc;
/// \brief Chunk size and a reference to pseudo variable for combined
/// directives.
enum { CHUNK_SIZE, HELPER_CHUNK_SIZE, NUM_EXPRS };
Stmt *ChunkSizes[NUM_EXPRS];
/// \brief Set schedule kind.
///
/// \param K Schedule kind.
///
void setScheduleKind(OpenMPScheduleClauseKind K) { Kind = K; }
/// \brief Sets the location of '('.
///
/// \param Loc Location of '('.
///
void setLParenLoc(SourceLocation Loc) { LParenLoc = Loc; }
/// \brief Set schedule kind start location.
///
/// \param KLoc Schedule kind location.
///
void setScheduleKindLoc(SourceLocation KLoc) { KindLoc = KLoc; }
/// \brief Set location of ','.
///
/// \param Loc Location of ','.
///
void setCommaLoc(SourceLocation Loc) { CommaLoc = Loc; }
/// \brief Set chunk size.
///
/// \param E Chunk size.
///
void setChunkSize(Expr *E) { ChunkSizes[CHUNK_SIZE] = E; }
/// \brief Set helper chunk size.
///
/// \param E Helper chunk size.
///
void setHelperChunkSize(Expr *E) { ChunkSizes[HELPER_CHUNK_SIZE] = E; }
public:
/// \brief Build 'schedule' clause with schedule kind \a Kind and chunk size
/// expression \a ChunkSize.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param KLoc Starting location of the argument.
/// \param CommaLoc Location of ','.
/// \param EndLoc Ending location of the clause.
/// \param Kind Schedule kind.
/// \param ChunkSize Chunk size.
/// \param HelperChunkSize Helper chunk size for combined directives.
///
OMPScheduleClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation KLoc, SourceLocation CommaLoc,
SourceLocation EndLoc, OpenMPScheduleClauseKind Kind,
Expr *ChunkSize, Expr *HelperChunkSize)
: OMPClause(OMPC_schedule, StartLoc, EndLoc), LParenLoc(LParenLoc),
Kind(Kind), KindLoc(KLoc), CommaLoc(CommaLoc) {
ChunkSizes[CHUNK_SIZE] = ChunkSize;
ChunkSizes[HELPER_CHUNK_SIZE] = HelperChunkSize;
}
/// \brief Build an empty clause.
///
explicit OMPScheduleClause()
: OMPClause(OMPC_schedule, SourceLocation(), SourceLocation()),
Kind(OMPC_SCHEDULE_unknown) {
ChunkSizes[CHUNK_SIZE] = nullptr;
ChunkSizes[HELPER_CHUNK_SIZE] = nullptr;
}
/// \brief Get kind of the clause.
///
OpenMPScheduleClauseKind getScheduleKind() const { return Kind; }
/// \brief Get location of '('.
///
SourceLocation getLParenLoc() { return LParenLoc; }
/// \brief Get kind location.
///
SourceLocation getScheduleKindLoc() { return KindLoc; }
/// \brief Get location of ','.
///
SourceLocation getCommaLoc() { return CommaLoc; }
/// \brief Get chunk size.
///
Expr *getChunkSize() { return dyn_cast_or_null<Expr>(ChunkSizes[CHUNK_SIZE]); }
/// \brief Get chunk size.
///
Expr *getChunkSize() const {
return dyn_cast_or_null<Expr>(ChunkSizes[CHUNK_SIZE]);
}
/// \brief Get helper chunk size.
///
Expr *getHelperChunkSize() {
return dyn_cast_or_null<Expr>(ChunkSizes[HELPER_CHUNK_SIZE]);
}
/// \brief Get helper chunk size.
///
Expr *getHelperChunkSize() const {
return dyn_cast_or_null<Expr>(ChunkSizes[HELPER_CHUNK_SIZE]);
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_schedule;
}
StmtRange children() {
return StmtRange(&ChunkSizes[CHUNK_SIZE], &ChunkSizes[CHUNK_SIZE] + 1);
}
};
/// \brief This represents 'ordered' clause in the '#pragma omp ...' directive.
///
/// \code
/// #pragma omp for ordered
/// \endcode
/// In this example directive '#pragma omp for' has 'ordered' clause.
///
class OMPOrderedClause : public OMPClause {
public:
/// \brief Build 'ordered' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPOrderedClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_ordered, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPOrderedClause()
: OMPClause(OMPC_ordered, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_ordered;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'nowait' clause in the '#pragma omp ...' directive.
///
/// \code
/// #pragma omp for nowait
/// \endcode
/// In this example directive '#pragma omp for' has 'nowait' clause.
///
class OMPNowaitClause : public OMPClause {
public:
/// \brief Build 'nowait' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPNowaitClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_nowait, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPNowaitClause()
: OMPClause(OMPC_nowait, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_nowait;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'untied' clause in the '#pragma omp ...' directive.
///
/// \code
/// #pragma omp task untied
/// \endcode
/// In this example directive '#pragma omp task' has 'untied' clause.
///
class OMPUntiedClause : public OMPClause {
public:
/// \brief Build 'untied' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPUntiedClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_untied, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPUntiedClause()
: OMPClause(OMPC_untied, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_untied;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'mergeable' clause in the '#pragma omp ...'
/// directive.
///
/// \code
/// #pragma omp task mergeable
/// \endcode
/// In this example directive '#pragma omp task' has 'mergeable' clause.
///
class OMPMergeableClause : public OMPClause {
public:
/// \brief Build 'mergeable' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPMergeableClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_mergeable, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPMergeableClause()
: OMPClause(OMPC_mergeable, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_mergeable;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'read' clause in the '#pragma omp atomic' directive.
///
/// \code
/// #pragma omp atomic read
/// \endcode
/// In this example directive '#pragma omp atomic' has 'read' clause.
///
class OMPReadClause : public OMPClause {
public:
/// \brief Build 'read' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPReadClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_read, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPReadClause() : OMPClause(OMPC_read, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_read;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'write' clause in the '#pragma omp atomic' directive.
///
/// \code
/// #pragma omp atomic write
/// \endcode
/// In this example directive '#pragma omp atomic' has 'write' clause.
///
class OMPWriteClause : public OMPClause {
public:
/// \brief Build 'write' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPWriteClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_write, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPWriteClause()
: OMPClause(OMPC_write, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_write;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'update' clause in the '#pragma omp atomic'
/// directive.
///
/// \code
/// #pragma omp atomic update
/// \endcode
/// In this example directive '#pragma omp atomic' has 'update' clause.
///
class OMPUpdateClause : public OMPClause {
public:
/// \brief Build 'update' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPUpdateClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_update, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPUpdateClause()
: OMPClause(OMPC_update, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_update;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'capture' clause in the '#pragma omp atomic'
/// directive.
///
/// \code
/// #pragma omp atomic capture
/// \endcode
/// In this example directive '#pragma omp atomic' has 'capture' clause.
///
class OMPCaptureClause : public OMPClause {
public:
/// \brief Build 'capture' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPCaptureClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_capture, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPCaptureClause()
: OMPClause(OMPC_capture, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_capture;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents 'seq_cst' clause in the '#pragma omp atomic'
/// directive.
///
/// \code
/// #pragma omp atomic seq_cst
/// \endcode
/// In this example directive '#pragma omp atomic' has 'seq_cst' clause.
///
class OMPSeqCstClause : public OMPClause {
public:
/// \brief Build 'seq_cst' clause.
///
/// \param StartLoc Starting location of the clause.
/// \param EndLoc Ending location of the clause.
///
OMPSeqCstClause(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPClause(OMPC_seq_cst, StartLoc, EndLoc) {}
/// \brief Build an empty clause.
///
OMPSeqCstClause()
: OMPClause(OMPC_seq_cst, SourceLocation(), SourceLocation()) {}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_seq_cst;
}
StmtRange children() { return StmtRange(); }
};
/// \brief This represents clause 'private' in the '#pragma omp ...' directives.
///
/// \code
/// #pragma omp parallel private(a,b)
/// \endcode
/// In this example directive '#pragma omp parallel' has clause 'private'
/// with the variables 'a' and 'b'.
///
class OMPPrivateClause : public OMPVarListClause<OMPPrivateClause> {
friend class OMPClauseReader;
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPPrivateClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPPrivateClause>(OMPC_private, StartLoc, LParenLoc,
EndLoc, N) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPPrivateClause(unsigned N)
: OMPVarListClause<OMPPrivateClause>(OMPC_private, SourceLocation(),
SourceLocation(), SourceLocation(),
N) {}
/// \brief Sets the list of references to private copies with initializers for
/// new private variables.
/// \param VL List of references.
void setPrivateCopies(ArrayRef<Expr *> VL);
/// \brief Gets the list of references to private copies with initializers for
/// new private variables.
MutableArrayRef<Expr *> getPrivateCopies() {
return MutableArrayRef<Expr *>(varlist_end(), varlist_size());
}
ArrayRef<const Expr *> getPrivateCopies() const {
return llvm::makeArrayRef(varlist_end(), varlist_size());
}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
/// \param PrivateVL List of references to private copies with initializers.
///
static OMPPrivateClause *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc, ArrayRef<Expr *> VL,
ArrayRef<Expr *> PrivateVL);
/// \brief Creates an empty clause with the place for \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPPrivateClause *CreateEmpty(const ASTContext &C, unsigned N);
typedef MutableArrayRef<Expr *>::iterator private_copies_iterator;
typedef ArrayRef<const Expr *>::iterator private_copies_const_iterator;
typedef llvm::iterator_range<private_copies_iterator> private_copies_range;
typedef llvm::iterator_range<private_copies_const_iterator>
private_copies_const_range;
private_copies_range private_copies() {
return private_copies_range(getPrivateCopies().begin(),
getPrivateCopies().end());
}
private_copies_const_range private_copies() const {
return private_copies_const_range(getPrivateCopies().begin(),
getPrivateCopies().end());
}
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_private;
}
};
/// \brief This represents clause 'firstprivate' in the '#pragma omp ...'
/// directives.
///
/// \code
/// #pragma omp parallel firstprivate(a,b)
/// \endcode
/// In this example directive '#pragma omp parallel' has clause 'firstprivate'
/// with the variables 'a' and 'b'.
///
class OMPFirstprivateClause : public OMPVarListClause<OMPFirstprivateClause> {
friend class OMPClauseReader;
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPFirstprivateClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPFirstprivateClause>(OMPC_firstprivate, StartLoc,
LParenLoc, EndLoc, N) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPFirstprivateClause(unsigned N)
: OMPVarListClause<OMPFirstprivateClause>(
OMPC_firstprivate, SourceLocation(), SourceLocation(),
SourceLocation(), N) {}
/// \brief Sets the list of references to private copies with initializers for
/// new private variables.
/// \param VL List of references.
void setPrivateCopies(ArrayRef<Expr *> VL);
/// \brief Gets the list of references to private copies with initializers for
/// new private variables.
MutableArrayRef<Expr *> getPrivateCopies() {
return MutableArrayRef<Expr *>(varlist_end(), varlist_size());
}
ArrayRef<const Expr *> getPrivateCopies() const {
return llvm::makeArrayRef(varlist_end(), varlist_size());
}
/// \brief Sets the list of references to initializer variables for new
/// private variables.
/// \param VL List of references.
void setInits(ArrayRef<Expr *> VL);
/// \brief Gets the list of references to initializer variables for new
/// private variables.
MutableArrayRef<Expr *> getInits() {
return MutableArrayRef<Expr *>(getPrivateCopies().end(), varlist_size());
}
ArrayRef<const Expr *> getInits() const {
return llvm::makeArrayRef(getPrivateCopies().end(), varlist_size());
}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the original variables.
/// \param PrivateVL List of references to private copies with initializers.
/// \param InitVL List of references to auto generated variables used for
/// initialization of a single array element. Used if firstprivate variable is
/// of array type.
///
static OMPFirstprivateClause *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, ArrayRef<Expr *> VL, ArrayRef<Expr *> PrivateVL,
ArrayRef<Expr *> InitVL);
/// \brief Creates an empty clause with the place for \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPFirstprivateClause *CreateEmpty(const ASTContext &C, unsigned N);
typedef MutableArrayRef<Expr *>::iterator private_copies_iterator;
typedef ArrayRef<const Expr *>::iterator private_copies_const_iterator;
typedef llvm::iterator_range<private_copies_iterator> private_copies_range;
typedef llvm::iterator_range<private_copies_const_iterator>
private_copies_const_range;
private_copies_range private_copies() {
return private_copies_range(getPrivateCopies().begin(),
getPrivateCopies().end());
}
private_copies_const_range private_copies() const {
return private_copies_const_range(getPrivateCopies().begin(),
getPrivateCopies().end());
}
typedef MutableArrayRef<Expr *>::iterator inits_iterator;
typedef ArrayRef<const Expr *>::iterator inits_const_iterator;
typedef llvm::iterator_range<inits_iterator> inits_range;
typedef llvm::iterator_range<inits_const_iterator> inits_const_range;
inits_range inits() {
return inits_range(getInits().begin(), getInits().end());
}
inits_const_range inits() const {
return inits_const_range(getInits().begin(), getInits().end());
}
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_firstprivate;
}
};
/// \brief This represents clause 'lastprivate' in the '#pragma omp ...'
/// directives.
///
/// \code
/// #pragma omp simd lastprivate(a,b)
/// \endcode
/// In this example directive '#pragma omp simd' has clause 'lastprivate'
/// with the variables 'a' and 'b'.
class OMPLastprivateClause : public OMPVarListClause<OMPLastprivateClause> {
// There are 4 additional tail-allocated arrays at the end of the class:
// 1. Contains list of pseudo variables with the default initialization for
// each non-firstprivate variables. Used in codegen for initialization of
// lastprivate copies.
// 2. List of helper expressions for proper generation of assignment operation
// required for lastprivate clause. This list represents private variables
// (for arrays, single array element).
// 3. List of helper expressions for proper generation of assignment operation
// required for lastprivate clause. This list represents original variables
// (for arrays, single array element).
// 4. List of helper expressions that represents assignment operation:
// \code
// DstExprs = SrcExprs;
// \endcode
// Required for proper codegen of final assignment performed by the
// lastprivate clause.
//
friend class OMPClauseReader;
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPLastprivateClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPLastprivateClause>(OMPC_lastprivate, StartLoc,
LParenLoc, EndLoc, N) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPLastprivateClause(unsigned N)
: OMPVarListClause<OMPLastprivateClause>(
OMPC_lastprivate, SourceLocation(), SourceLocation(),
SourceLocation(), N) {}
/// \brief Get the list of helper expressions for initialization of private
/// copies for lastprivate variables.
MutableArrayRef<Expr *> getPrivateCopies() {
return MutableArrayRef<Expr *>(varlist_end(), varlist_size());
}
ArrayRef<const Expr *> getPrivateCopies() const {
return llvm::makeArrayRef(varlist_end(), varlist_size());
}
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent private variables (for arrays, single
/// array element) in the final assignment statement performed by the
/// lastprivate clause.
void setSourceExprs(ArrayRef<Expr *> SrcExprs);
/// \brief Get the list of helper source expressions.
MutableArrayRef<Expr *> getSourceExprs() {
return MutableArrayRef<Expr *>(getPrivateCopies().end(), varlist_size());
}
ArrayRef<const Expr *> getSourceExprs() const {
return llvm::makeArrayRef(getPrivateCopies().end(), varlist_size());
}
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent original variables (for arrays, single
/// array element) in the final assignment statement performed by the
/// lastprivate clause.
void setDestinationExprs(ArrayRef<Expr *> DstExprs);
/// \brief Get the list of helper destination expressions.
MutableArrayRef<Expr *> getDestinationExprs() {
return MutableArrayRef<Expr *>(getSourceExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getDestinationExprs() const {
return llvm::makeArrayRef(getSourceExprs().end(), varlist_size());
}
/// \brief Set list of helper assignment expressions, required for proper
/// codegen of the clause. These expressions are assignment expressions that
/// assign private copy of the variable to original variable.
void setAssignmentOps(ArrayRef<Expr *> AssignmentOps);
/// \brief Get the list of helper assignment expressions.
MutableArrayRef<Expr *> getAssignmentOps() {
return MutableArrayRef<Expr *>(getDestinationExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getAssignmentOps() const {
return llvm::makeArrayRef(getDestinationExprs().end(), varlist_size());
}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
/// \param SrcExprs List of helper expressions for proper generation of
/// assignment operation required for lastprivate clause. This list represents
/// private variables (for arrays, single array element).
/// \param DstExprs List of helper expressions for proper generation of
/// assignment operation required for lastprivate clause. This list represents
/// original variables (for arrays, single array element).
/// \param AssignmentOps List of helper expressions that represents assignment
/// operation:
/// \code
/// DstExprs = SrcExprs;
/// \endcode
/// Required for proper codegen of final assignment performed by the
/// lastprivate clause.
///
///
static OMPLastprivateClause *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, ArrayRef<Expr *> VL, ArrayRef<Expr *> SrcExprs,
ArrayRef<Expr *> DstExprs, ArrayRef<Expr *> AssignmentOps);
/// \brief Creates an empty clause with the place for \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPLastprivateClause *CreateEmpty(const ASTContext &C, unsigned N);
typedef MutableArrayRef<Expr *>::iterator helper_expr_iterator;
typedef ArrayRef<const Expr *>::iterator helper_expr_const_iterator;
typedef llvm::iterator_range<helper_expr_iterator> helper_expr_range;
typedef llvm::iterator_range<helper_expr_const_iterator>
helper_expr_const_range;
/// \brief Set list of helper expressions, required for generation of private
/// copies of original lastprivate variables.
void setPrivateCopies(ArrayRef<Expr *> PrivateCopies);
helper_expr_const_range private_copies() const {
return helper_expr_const_range(getPrivateCopies().begin(),
getPrivateCopies().end());
}
helper_expr_range private_copies() {
return helper_expr_range(getPrivateCopies().begin(),
getPrivateCopies().end());
}
helper_expr_const_range source_exprs() const {
return helper_expr_const_range(getSourceExprs().begin(),
getSourceExprs().end());
}
helper_expr_range source_exprs() {
return helper_expr_range(getSourceExprs().begin(), getSourceExprs().end());
}
helper_expr_const_range destination_exprs() const {
return helper_expr_const_range(getDestinationExprs().begin(),
getDestinationExprs().end());
}
helper_expr_range destination_exprs() {
return helper_expr_range(getDestinationExprs().begin(),
getDestinationExprs().end());
}
helper_expr_const_range assignment_ops() const {
return helper_expr_const_range(getAssignmentOps().begin(),
getAssignmentOps().end());
}
helper_expr_range assignment_ops() {
return helper_expr_range(getAssignmentOps().begin(),
getAssignmentOps().end());
}
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_lastprivate;
}
};
/// \brief This represents clause 'shared' in the '#pragma omp ...' directives.
///
/// \code
/// #pragma omp parallel shared(a,b)
/// \endcode
/// In this example directive '#pragma omp parallel' has clause 'shared'
/// with the variables 'a' and 'b'.
///
class OMPSharedClause : public OMPVarListClause<OMPSharedClause> {
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPSharedClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPSharedClause>(OMPC_shared, StartLoc, LParenLoc,
EndLoc, N) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPSharedClause(unsigned N)
: OMPVarListClause<OMPSharedClause>(OMPC_shared, SourceLocation(),
SourceLocation(), SourceLocation(),
N) {}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
///
static OMPSharedClause *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc, ArrayRef<Expr *> VL);
/// \brief Creates an empty clause with \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPSharedClause *CreateEmpty(const ASTContext &C, unsigned N);
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_shared;
}
};
/// \brief This represents clause 'reduction' in the '#pragma omp ...'
/// directives.
///
/// \code
/// #pragma omp parallel reduction(+:a,b)
/// \endcode
/// In this example directive '#pragma omp parallel' has clause 'reduction'
/// with operator '+' and the variables 'a' and 'b'.
///
class OMPReductionClause : public OMPVarListClause<OMPReductionClause> {
friend class OMPClauseReader;
/// \brief Location of ':'.
SourceLocation ColonLoc;
/// \brief Nested name specifier for C++.
NestedNameSpecifierLoc QualifierLoc;
/// \brief Name of custom operator.
DeclarationNameInfo NameInfo;
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param ColonLoc Location of ':'.
/// \param N Number of the variables in the clause.
/// \param QualifierLoc The nested-name qualifier with location information
/// \param NameInfo The full name info for reduction identifier.
///
OMPReductionClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc, unsigned N,
NestedNameSpecifierLoc QualifierLoc,
const DeclarationNameInfo &NameInfo)
: OMPVarListClause<OMPReductionClause>(OMPC_reduction, StartLoc,
LParenLoc, EndLoc, N),
ColonLoc(ColonLoc), QualifierLoc(QualifierLoc), NameInfo(NameInfo) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPReductionClause(unsigned N)
: OMPVarListClause<OMPReductionClause>(OMPC_reduction, SourceLocation(),
SourceLocation(), SourceLocation(),
N),
ColonLoc(), QualifierLoc(), NameInfo() {}
/// \brief Sets location of ':' symbol in clause.
void setColonLoc(SourceLocation CL) { ColonLoc = CL; }
/// \brief Sets the name info for specified reduction identifier.
void setNameInfo(DeclarationNameInfo DNI) { NameInfo = DNI; }
/// \brief Sets the nested name specifier.
void setQualifierLoc(NestedNameSpecifierLoc NSL) { QualifierLoc = NSL; }
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent LHS expression in the final
/// reduction expression performed by the reduction clause.
void setLHSExprs(ArrayRef<Expr *> LHSExprs);
/// \brief Get the list of helper LHS expressions.
MutableArrayRef<Expr *> getLHSExprs() {
return MutableArrayRef<Expr *>(varlist_end(), varlist_size());
}
ArrayRef<const Expr *> getLHSExprs() const {
return llvm::makeArrayRef(varlist_end(), varlist_size());
}
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent RHS expression in the final
/// reduction expression performed by the reduction clause.
/// Also, variables in these expressions are used for proper initialization of
/// reduction copies.
void setRHSExprs(ArrayRef<Expr *> RHSExprs);
/// \brief Get the list of helper destination expressions.
MutableArrayRef<Expr *> getRHSExprs() {
return MutableArrayRef<Expr *>(getLHSExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getRHSExprs() const {
return llvm::makeArrayRef(getLHSExprs().end(), varlist_size());
}
/// \brief Set list of helper reduction expressions, required for proper
/// codegen of the clause. These expressions are binary expressions or
/// operator/custom reduction call that calculates new value from source
/// helper expressions to destination helper expressions.
void setReductionOps(ArrayRef<Expr *> ReductionOps);
/// \brief Get the list of helper reduction expressions.
MutableArrayRef<Expr *> getReductionOps() {
return MutableArrayRef<Expr *>(getRHSExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getReductionOps() const {
return llvm::makeArrayRef(getRHSExprs().end(), varlist_size());
}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param ColonLoc Location of ':'.
/// \param EndLoc Ending location of the clause.
/// \param VL The variables in the clause.
/// \param QualifierLoc The nested-name qualifier with location information
/// \param NameInfo The full name info for reduction identifier.
/// \param LHSExprs List of helper expressions for proper generation of
/// assignment operation required for copyprivate clause. This list represents
/// LHSs of the reduction expressions.
/// \param RHSExprs List of helper expressions for proper generation of
/// assignment operation required for copyprivate clause. This list represents
/// RHSs of the reduction expressions.
/// Also, variables in these expressions are used for proper initialization of
/// reduction copies.
/// \param ReductionOps List of helper expressions that represents reduction
/// expressions:
/// \code
/// LHSExprs binop RHSExprs;
/// operator binop(LHSExpr, RHSExpr);
/// <CutomReduction>(LHSExpr, RHSExpr);
/// \endcode
/// Required for proper codegen of final reduction operation performed by the
/// reduction clause.
///
static OMPReductionClause *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc, ArrayRef<Expr *> VL,
NestedNameSpecifierLoc QualifierLoc,
const DeclarationNameInfo &NameInfo, ArrayRef<Expr *> LHSExprs,
ArrayRef<Expr *> RHSExprs, ArrayRef<Expr *> ReductionOps);
/// \brief Creates an empty clause with the place for \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPReductionClause *CreateEmpty(const ASTContext &C, unsigned N);
/// \brief Gets location of ':' symbol in clause.
SourceLocation getColonLoc() const { return ColonLoc; }
/// \brief Gets the name info for specified reduction identifier.
const DeclarationNameInfo &getNameInfo() const { return NameInfo; }
/// \brief Gets the nested name specifier.
NestedNameSpecifierLoc getQualifierLoc() const { return QualifierLoc; }
typedef MutableArrayRef<Expr *>::iterator helper_expr_iterator;
typedef ArrayRef<const Expr *>::iterator helper_expr_const_iterator;
typedef llvm::iterator_range<helper_expr_iterator> helper_expr_range;
typedef llvm::iterator_range<helper_expr_const_iterator>
helper_expr_const_range;
helper_expr_const_range lhs_exprs() const {
return helper_expr_const_range(getLHSExprs().begin(), getLHSExprs().end());
}
helper_expr_range lhs_exprs() {
return helper_expr_range(getLHSExprs().begin(), getLHSExprs().end());
}
helper_expr_const_range rhs_exprs() const {
return helper_expr_const_range(getRHSExprs().begin(), getRHSExprs().end());
}
helper_expr_range rhs_exprs() {
return helper_expr_range(getRHSExprs().begin(), getRHSExprs().end());
}
helper_expr_const_range reduction_ops() const {
return helper_expr_const_range(getReductionOps().begin(),
getReductionOps().end());
}
helper_expr_range reduction_ops() {
return helper_expr_range(getReductionOps().begin(),
getReductionOps().end());
}
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_reduction;
}
};
/// \brief This represents clause 'linear' in the '#pragma omp ...'
/// directives.
///
/// \code
/// #pragma omp simd linear(a,b : 2)
/// \endcode
/// In this example directive '#pragma omp simd' has clause 'linear'
/// with variables 'a', 'b' and linear step '2'.
///
class OMPLinearClause : public OMPVarListClause<OMPLinearClause> {
friend class OMPClauseReader;
/// \brief Location of ':'.
SourceLocation ColonLoc;
/// \brief Sets the linear step for clause.
void setStep(Expr *Step) { *(getFinals().end()) = Step; }
/// \brief Sets the expression to calculate linear step for clause.
void setCalcStep(Expr *CalcStep) { *(getFinals().end() + 1) = CalcStep; }
/// \brief Build 'linear' clause with given number of variables \a NumVars.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param ColonLoc Location of ':'.
/// \param EndLoc Ending location of the clause.
/// \param NumVars Number of variables.
///
OMPLinearClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc,
unsigned NumVars)
: OMPVarListClause<OMPLinearClause>(OMPC_linear, StartLoc, LParenLoc,
EndLoc, NumVars),
ColonLoc(ColonLoc) {}
/// \brief Build an empty clause.
///
/// \param NumVars Number of variables.
///
explicit OMPLinearClause(unsigned NumVars)
: OMPVarListClause<OMPLinearClause>(OMPC_linear, SourceLocation(),
SourceLocation(), SourceLocation(),
NumVars),
ColonLoc(SourceLocation()) {}
/// \brief Gets the list of initial values for linear variables.
///
/// There are NumVars expressions with initial values allocated after the
/// varlist, they are followed by NumVars update expressions (used to update
/// the linear variable's value on current iteration) and they are followed by
/// NumVars final expressions (used to calculate the linear variable's
/// value after the loop body). After these lists, there are 2 helper
/// expressions - linear step and a helper to calculate it before the
/// loop body (used when the linear step is not constant):
///
/// { Vars[] /* in OMPVarListClause */; Inits[]; Updates[]; Finals[];
/// Step; CalcStep; }
///
MutableArrayRef<Expr *> getInits() {
return MutableArrayRef<Expr *>(varlist_end(), varlist_size());
}
ArrayRef<const Expr *> getInits() const {
return llvm::makeArrayRef(varlist_end(), varlist_size());
}
/// \brief Sets the list of update expressions for linear variables.
MutableArrayRef<Expr *> getUpdates() {
return MutableArrayRef<Expr *>(getInits().end(), varlist_size());
}
ArrayRef<const Expr *> getUpdates() const {
return llvm::makeArrayRef(getInits().end(), varlist_size());
}
/// \brief Sets the list of final update expressions for linear variables.
MutableArrayRef<Expr *> getFinals() {
return MutableArrayRef<Expr *>(getUpdates().end(), varlist_size());
}
ArrayRef<const Expr *> getFinals() const {
return llvm::makeArrayRef(getUpdates().end(), varlist_size());
}
/// \brief Sets the list of the initial values for linear variables.
/// \param IL List of expressions.
void setInits(ArrayRef<Expr *> IL);
public:
/// \brief Creates clause with a list of variables \a VL and a linear step
/// \a Step.
///
/// \param C AST Context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param ColonLoc Location of ':'.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
/// \param IL List of initial values for the variables.
/// \param Step Linear step.
/// \param CalcStep Calculation of the linear step.
static OMPLinearClause *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc,
ArrayRef<Expr *> VL, ArrayRef<Expr *> IL,
Expr *Step, Expr *CalcStep);
/// \brief Creates an empty clause with the place for \a NumVars variables.
///
/// \param C AST context.
/// \param NumVars Number of variables.
///
static OMPLinearClause *CreateEmpty(const ASTContext &C, unsigned NumVars);
/// \brief Sets the location of ':'.
void setColonLoc(SourceLocation Loc) { ColonLoc = Loc; }
/// \brief Returns the location of '('.
SourceLocation getColonLoc() const { return ColonLoc; }
/// \brief Returns linear step.
Expr *getStep() { return *(getFinals().end()); }
/// \brief Returns linear step.
const Expr *getStep() const { return *(getFinals().end()); }
/// \brief Returns expression to calculate linear step.
Expr *getCalcStep() { return *(getFinals().end() + 1); }
/// \brief Returns expression to calculate linear step.
const Expr *getCalcStep() const { return *(getFinals().end() + 1); }
/// \brief Sets the list of update expressions for linear variables.
/// \param UL List of expressions.
void setUpdates(ArrayRef<Expr *> UL);
/// \brief Sets the list of final update expressions for linear variables.
/// \param FL List of expressions.
void setFinals(ArrayRef<Expr *> FL);
typedef MutableArrayRef<Expr *>::iterator inits_iterator;
typedef ArrayRef<const Expr *>::iterator inits_const_iterator;
typedef llvm::iterator_range<inits_iterator> inits_range;
typedef llvm::iterator_range<inits_const_iterator> inits_const_range;
inits_range inits() {
return inits_range(getInits().begin(), getInits().end());
}
inits_const_range inits() const {
return inits_const_range(getInits().begin(), getInits().end());
}
typedef MutableArrayRef<Expr *>::iterator updates_iterator;
typedef ArrayRef<const Expr *>::iterator updates_const_iterator;
typedef llvm::iterator_range<updates_iterator> updates_range;
typedef llvm::iterator_range<updates_const_iterator> updates_const_range;
updates_range updates() {
return updates_range(getUpdates().begin(), getUpdates().end());
}
updates_const_range updates() const {
return updates_const_range(getUpdates().begin(), getUpdates().end());
}
typedef MutableArrayRef<Expr *>::iterator finals_iterator;
typedef ArrayRef<const Expr *>::iterator finals_const_iterator;
typedef llvm::iterator_range<finals_iterator> finals_range;
typedef llvm::iterator_range<finals_const_iterator> finals_const_range;
finals_range finals() {
return finals_range(getFinals().begin(), getFinals().end());
}
finals_const_range finals() const {
return finals_const_range(getFinals().begin(), getFinals().end());
}
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_linear;
}
};
/// \brief This represents clause 'aligned' in the '#pragma omp ...'
/// directives.
///
/// \code
/// #pragma omp simd aligned(a,b : 8)
/// \endcode
/// In this example directive '#pragma omp simd' has clause 'aligned'
/// with variables 'a', 'b' and alignment '8'.
///
class OMPAlignedClause : public OMPVarListClause<OMPAlignedClause> {
friend class OMPClauseReader;
/// \brief Location of ':'.
SourceLocation ColonLoc;
/// \brief Sets the alignment for clause.
void setAlignment(Expr *A) { *varlist_end() = A; }
/// \brief Build 'aligned' clause with given number of variables \a NumVars.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param ColonLoc Location of ':'.
/// \param EndLoc Ending location of the clause.
/// \param NumVars Number of variables.
///
OMPAlignedClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc,
unsigned NumVars)
: OMPVarListClause<OMPAlignedClause>(OMPC_aligned, StartLoc, LParenLoc,
EndLoc, NumVars),
ColonLoc(ColonLoc) {}
/// \brief Build an empty clause.
///
/// \param NumVars Number of variables.
///
explicit OMPAlignedClause(unsigned NumVars)
: OMPVarListClause<OMPAlignedClause>(OMPC_aligned, SourceLocation(),
SourceLocation(), SourceLocation(),
NumVars),
ColonLoc(SourceLocation()) {}
public:
/// \brief Creates clause with a list of variables \a VL and alignment \a A.
///
/// \param C AST Context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param ColonLoc Location of ':'.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
/// \param A Alignment.
static OMPAlignedClause *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc, ArrayRef<Expr *> VL,
Expr *A);
/// \brief Creates an empty clause with the place for \a NumVars variables.
///
/// \param C AST context.
/// \param NumVars Number of variables.
///
static OMPAlignedClause *CreateEmpty(const ASTContext &C, unsigned NumVars);
/// \brief Sets the location of ':'.
void setColonLoc(SourceLocation Loc) { ColonLoc = Loc; }
/// \brief Returns the location of ':'.
SourceLocation getColonLoc() const { return ColonLoc; }
/// \brief Returns alignment.
Expr *getAlignment() { return *varlist_end(); }
/// \brief Returns alignment.
const Expr *getAlignment() const { return *varlist_end(); }
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_aligned;
}
};
/// \brief This represents clause 'copyin' in the '#pragma omp ...' directives.
///
/// \code
/// #pragma omp parallel copyin(a,b)
/// \endcode
/// In this example directive '#pragma omp parallel' has clause 'copyin'
/// with the variables 'a' and 'b'.
///
class OMPCopyinClause : public OMPVarListClause<OMPCopyinClause> {
// Class has 3 additional tail allocated arrays:
// 1. List of helper expressions for proper generation of assignment operation
// required for copyin clause. This list represents sources.
// 2. List of helper expressions for proper generation of assignment operation
// required for copyin clause. This list represents destinations.
// 3. List of helper expressions that represents assignment operation:
// \code
// DstExprs = SrcExprs;
// \endcode
// Required for proper codegen of propagation of master's thread values of
// threadprivate variables to local instances of that variables in other
// implicit threads.
friend class OMPClauseReader;
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPCopyinClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPCopyinClause>(OMPC_copyin, StartLoc, LParenLoc,
EndLoc, N) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPCopyinClause(unsigned N)
: OMPVarListClause<OMPCopyinClause>(OMPC_copyin, SourceLocation(),
SourceLocation(), SourceLocation(),
N) {}
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent source expression in the final
/// assignment statement performed by the copyin clause.
void setSourceExprs(ArrayRef<Expr *> SrcExprs);
/// \brief Get the list of helper source expressions.
MutableArrayRef<Expr *> getSourceExprs() {
return MutableArrayRef<Expr *>(varlist_end(), varlist_size());
}
ArrayRef<const Expr *> getSourceExprs() const {
return llvm::makeArrayRef(varlist_end(), varlist_size());
}
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent destination expression in the final
/// assignment statement performed by the copyin clause.
void setDestinationExprs(ArrayRef<Expr *> DstExprs);
/// \brief Get the list of helper destination expressions.
MutableArrayRef<Expr *> getDestinationExprs() {
return MutableArrayRef<Expr *>(getSourceExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getDestinationExprs() const {
return llvm::makeArrayRef(getSourceExprs().end(), varlist_size());
}
/// \brief Set list of helper assignment expressions, required for proper
/// codegen of the clause. These expressions are assignment expressions that
/// assign source helper expressions to destination helper expressions
/// correspondingly.
void setAssignmentOps(ArrayRef<Expr *> AssignmentOps);
/// \brief Get the list of helper assignment expressions.
MutableArrayRef<Expr *> getAssignmentOps() {
return MutableArrayRef<Expr *>(getDestinationExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getAssignmentOps() const {
return llvm::makeArrayRef(getDestinationExprs().end(), varlist_size());
}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
/// \param SrcExprs List of helper expressions for proper generation of
/// assignment operation required for copyin clause. This list represents
/// sources.
/// \param DstExprs List of helper expressions for proper generation of
/// assignment operation required for copyin clause. This list represents
/// destinations.
/// \param AssignmentOps List of helper expressions that represents assignment
/// operation:
/// \code
/// DstExprs = SrcExprs;
/// \endcode
/// Required for proper codegen of propagation of master's thread values of
/// threadprivate variables to local instances of that variables in other
/// implicit threads.
///
static OMPCopyinClause *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, ArrayRef<Expr *> VL, ArrayRef<Expr *> SrcExprs,
ArrayRef<Expr *> DstExprs, ArrayRef<Expr *> AssignmentOps);
/// \brief Creates an empty clause with \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPCopyinClause *CreateEmpty(const ASTContext &C, unsigned N);
typedef MutableArrayRef<Expr *>::iterator helper_expr_iterator;
typedef ArrayRef<const Expr *>::iterator helper_expr_const_iterator;
typedef llvm::iterator_range<helper_expr_iterator> helper_expr_range;
typedef llvm::iterator_range<helper_expr_const_iterator>
helper_expr_const_range;
helper_expr_const_range source_exprs() const {
return helper_expr_const_range(getSourceExprs().begin(),
getSourceExprs().end());
}
helper_expr_range source_exprs() {
return helper_expr_range(getSourceExprs().begin(), getSourceExprs().end());
}
helper_expr_const_range destination_exprs() const {
return helper_expr_const_range(getDestinationExprs().begin(),
getDestinationExprs().end());
}
helper_expr_range destination_exprs() {
return helper_expr_range(getDestinationExprs().begin(),
getDestinationExprs().end());
}
helper_expr_const_range assignment_ops() const {
return helper_expr_const_range(getAssignmentOps().begin(),
getAssignmentOps().end());
}
helper_expr_range assignment_ops() {
return helper_expr_range(getAssignmentOps().begin(),
getAssignmentOps().end());
}
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_copyin;
}
};
/// \brief This represents clause 'copyprivate' in the '#pragma omp ...'
/// directives.
///
/// \code
/// #pragma omp single copyprivate(a,b)
/// \endcode
/// In this example directive '#pragma omp single' has clause 'copyprivate'
/// with the variables 'a' and 'b'.
///
class OMPCopyprivateClause : public OMPVarListClause<OMPCopyprivateClause> {
friend class OMPClauseReader;
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPCopyprivateClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPCopyprivateClause>(OMPC_copyprivate, StartLoc,
LParenLoc, EndLoc, N) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPCopyprivateClause(unsigned N)
: OMPVarListClause<OMPCopyprivateClause>(
OMPC_copyprivate, SourceLocation(), SourceLocation(),
SourceLocation(), N) {}
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent source expression in the final
/// assignment statement performed by the copyprivate clause.
void setSourceExprs(ArrayRef<Expr *> SrcExprs);
/// \brief Get the list of helper source expressions.
MutableArrayRef<Expr *> getSourceExprs() {
return MutableArrayRef<Expr *>(varlist_end(), varlist_size());
}
ArrayRef<const Expr *> getSourceExprs() const {
return llvm::makeArrayRef(varlist_end(), varlist_size());
}
/// \brief Set list of helper expressions, required for proper codegen of the
/// clause. These expressions represent destination expression in the final
/// assignment statement performed by the copyprivate clause.
void setDestinationExprs(ArrayRef<Expr *> DstExprs);
/// \brief Get the list of helper destination expressions.
MutableArrayRef<Expr *> getDestinationExprs() {
return MutableArrayRef<Expr *>(getSourceExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getDestinationExprs() const {
return llvm::makeArrayRef(getSourceExprs().end(), varlist_size());
}
/// \brief Set list of helper assignment expressions, required for proper
/// codegen of the clause. These expressions are assignment expressions that
/// assign source helper expressions to destination helper expressions
/// correspondingly.
void setAssignmentOps(ArrayRef<Expr *> AssignmentOps);
/// \brief Get the list of helper assignment expressions.
MutableArrayRef<Expr *> getAssignmentOps() {
return MutableArrayRef<Expr *>(getDestinationExprs().end(), varlist_size());
}
ArrayRef<const Expr *> getAssignmentOps() const {
return llvm::makeArrayRef(getDestinationExprs().end(), varlist_size());
}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
/// \param SrcExprs List of helper expressions for proper generation of
/// assignment operation required for copyprivate clause. This list represents
/// sources.
/// \param DstExprs List of helper expressions for proper generation of
/// assignment operation required for copyprivate clause. This list represents
/// destinations.
/// \param AssignmentOps List of helper expressions that represents assignment
/// operation:
/// \code
/// DstExprs = SrcExprs;
/// \endcode
/// Required for proper codegen of final assignment performed by the
/// copyprivate clause.
///
static OMPCopyprivateClause *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, ArrayRef<Expr *> VL, ArrayRef<Expr *> SrcExprs,
ArrayRef<Expr *> DstExprs, ArrayRef<Expr *> AssignmentOps);
/// \brief Creates an empty clause with \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPCopyprivateClause *CreateEmpty(const ASTContext &C, unsigned N);
typedef MutableArrayRef<Expr *>::iterator helper_expr_iterator;
typedef ArrayRef<const Expr *>::iterator helper_expr_const_iterator;
typedef llvm::iterator_range<helper_expr_iterator> helper_expr_range;
typedef llvm::iterator_range<helper_expr_const_iterator>
helper_expr_const_range;
helper_expr_const_range source_exprs() const {
return helper_expr_const_range(getSourceExprs().begin(),
getSourceExprs().end());
}
helper_expr_range source_exprs() {
return helper_expr_range(getSourceExprs().begin(), getSourceExprs().end());
}
helper_expr_const_range destination_exprs() const {
return helper_expr_const_range(getDestinationExprs().begin(),
getDestinationExprs().end());
}
helper_expr_range destination_exprs() {
return helper_expr_range(getDestinationExprs().begin(),
getDestinationExprs().end());
}
helper_expr_const_range assignment_ops() const {
return helper_expr_const_range(getAssignmentOps().begin(),
getAssignmentOps().end());
}
helper_expr_range assignment_ops() {
return helper_expr_range(getAssignmentOps().begin(),
getAssignmentOps().end());
}
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_copyprivate;
}
};
/// \brief This represents implicit clause 'flush' for the '#pragma omp flush'
/// directive.
/// This clause does not exist by itself, it can be only as a part of 'omp
/// flush' directive. This clause is introduced to keep the original structure
/// of \a OMPExecutableDirective class and its derivatives and to use the
/// existing infrastructure of clauses with the list of variables.
///
/// \code
/// #pragma omp flush(a,b)
/// \endcode
/// In this example directive '#pragma omp flush' has implicit clause 'flush'
/// with the variables 'a' and 'b'.
///
class OMPFlushClause : public OMPVarListClause<OMPFlushClause> {
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPFlushClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPFlushClause>(OMPC_flush, StartLoc, LParenLoc,
EndLoc, N) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPFlushClause(unsigned N)
: OMPVarListClause<OMPFlushClause>(OMPC_flush, SourceLocation(),
SourceLocation(), SourceLocation(),
N) {}
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param VL List of references to the variables.
///
static OMPFlushClause *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc,
ArrayRef<Expr *> VL);
/// \brief Creates an empty clause with \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPFlushClause *CreateEmpty(const ASTContext &C, unsigned N);
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_flush;
}
};
/// \brief This represents implicit clause 'depend' for the '#pragma omp task'
/// directive.
///
/// \code
/// #pragma omp task depend(in:a,b)
/// \endcode
/// In this example directive '#pragma omp task' with clause 'depend' with the
/// variables 'a' and 'b' with dependency 'in'.
///
class OMPDependClause : public OMPVarListClause<OMPDependClause> {
friend class OMPClauseReader;
/// \brief Dependency type (one of in, out, inout).
OpenMPDependClauseKind DepKind;
/// \brief Dependency type location.
SourceLocation DepLoc;
/// \brief Colon location.
SourceLocation ColonLoc;
/// \brief Build clause with number of variables \a N.
///
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param N Number of the variables in the clause.
///
OMPDependClause(SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, unsigned N)
: OMPVarListClause<OMPDependClause>(OMPC_depend, StartLoc, LParenLoc,
EndLoc, N),
DepKind(OMPC_DEPEND_unknown) {}
/// \brief Build an empty clause.
///
/// \param N Number of variables.
///
explicit OMPDependClause(unsigned N)
: OMPVarListClause<OMPDependClause>(OMPC_depend, SourceLocation(),
SourceLocation(), SourceLocation(),
N),
DepKind(OMPC_DEPEND_unknown) {}
/// \brief Set dependency kind.
void setDependencyKind(OpenMPDependClauseKind K) { DepKind = K; }
/// \brief Set dependency kind and its location.
void setDependencyLoc(SourceLocation Loc) { DepLoc = Loc; }
/// \brief Set colon location.
void setColonLoc(SourceLocation Loc) { ColonLoc = Loc; }
public:
/// \brief Creates clause with a list of variables \a VL.
///
/// \param C AST context.
/// \param StartLoc Starting location of the clause.
/// \param LParenLoc Location of '('.
/// \param EndLoc Ending location of the clause.
/// \param DepKind Dependency type.
/// \param DepLoc Location of the dependency type.
/// \param ColonLoc Colon location.
/// \param VL List of references to the variables.
///
static OMPDependClause *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc, OpenMPDependClauseKind DepKind,
SourceLocation DepLoc, SourceLocation ColonLoc, ArrayRef<Expr *> VL);
/// \brief Creates an empty clause with \a N variables.
///
/// \param C AST context.
/// \param N The number of variables.
///
static OMPDependClause *CreateEmpty(const ASTContext &C, unsigned N);
/// \brief Get dependency type.
OpenMPDependClauseKind getDependencyKind() const { return DepKind; }
/// \brief Get dependency type location.
SourceLocation getDependencyLoc() const { return DepLoc; }
/// \brief Get colon location.
SourceLocation getColonLoc() const { return ColonLoc; }
StmtRange children() {
return StmtRange(reinterpret_cast<Stmt **>(varlist_begin()),
reinterpret_cast<Stmt **>(varlist_end()));
}
static bool classof(const OMPClause *T) {
return T->getClauseKind() == OMPC_depend;
}
};
} // end namespace clang
#endif
|
DRB048-firstprivate-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.
*/
/*
Example use of firstprivate()
*/
void foo(int * a, int n, int g)
{
int i;
#pragma omp parallel for
for (i=0;i<n;i++)
{
a[i] = a[i]+g;
}
}
int a[100];
int main()
{
int i;
#pragma omp parallel for
for (i=0;i<100;i++)
a[i] = i;
foo(a, 100, 7);
for (i=0;i<100;i++)
printf("%d\n", a[i]);
return 0;
}
|
makeYbus.h | /*
* makYbus.cuh
*
* Created on: 23/09/2015
* Author: Igor M. Araújo
*/
#ifndef MAKEYBUS_CUH_
#define MAKEYBUS_CUH_
#include <util/complexUtils.h>
#include <iostream>
using namespace std;
__host__ void mkl_computeCfCt(
Branch *branches,
cuDoubleComplex *cooValCf,
int *cooRowCf,
int *cooColCf,
cuDoubleComplex *cooValCt,
int *cooRowCt,
int *cooColCt)
{
#pragma omp parallel for
for (int id = 0; id < H_NBRANCH; id++)
{
Branch l_branch = branches[id];
cooValCf[id] = make_cuDoubleComplex(1, 0);
cooRowCf[id] = l_branch.from + BASE_INDEX;
cooColCf[id] = id + BASE_INDEX;
cooValCt[id] = make_cuDoubleComplex(1, 0);
cooRowCt[id] = l_branch.to + BASE_INDEX;
cooColCt[id] = id + BASE_INDEX;
}
}
__host__ void mkl_computeYfYt(
Bus *buses,
Branch *branches,
cuDoubleComplex *csrValYt,
int *csrRowPtrYt,
int *csrColIndYt,
cuDoubleComplex *csrValYf,
int *csrRowPtrYf,
int *csrColIndYf,
cuDoubleComplex *csrValYsh,
int *csrRowPtrYsh,
int *csrColIndYsh,
vector<pso::Particula::Estrutura> estrutura,
pso::Particula particula) {
#pragma omp parallel for
for (int id = 0; id < H_NBRANCH; id++) {
if (id < H_NBUS) {
Bus l_bus = buses[id];
double Bsh = (l_bus.indiceEstrutura != -1 && estrutura[l_bus.indiceEstrutura].tipo == pso::Particula::Estrutura::SHC) ? particula[l_bus.indiceEstrutura] : l_bus.Bsh ;
csrValYsh[id] = make_cuDoubleComplex(l_bus.Gsh, Bsh);
csrRowPtrYsh[id] = id + BASE_INDEX;
csrColIndYsh[id] = id + BASE_INDEX;
}
cuDoubleComplex Ytt;
cuDoubleComplex Yff;
cuDoubleComplex Yft;
cuDoubleComplex Ytf;
Branch l_branch = branches[id];
int stat = (l_branch.inservice) ? 1 : 0;
cuDoubleComplex impedance = make_cuDoubleComplex(l_branch.R, l_branch.X);
cuDoubleComplex Ys = cuCdiv(make_cuDoubleComplex(stat, 0), impedance);
cuDoubleComplex susceptance = make_cuDoubleComplex(0, l_branch.B);
cuDoubleComplex Bc = cuCmul(make_cuDoubleComplex(stat, 0), susceptance);
cuDoubleComplex tap = (l_branch.tap != 0) ? make_cuDoubleComplex(particula[l_branch.indiceEstrutura], 0) : make_cuDoubleComplex(1, 0);
cuDoubleComplex phase_shifter = make_cuDoubleComplex(0, M_PI / 180.0 * l_branch.shift);
tap = cuCmul(tap, cuCexp(phase_shifter));
Ytt = cuCadd(Ys, cuCdiv(Bc, make_cuDoubleComplex(2, 0)));
Yff = cuCdiv(Ytt, cuCmul(tap, cuConj(tap)));
Yft = cuCdiv(cuCmul(Ys, make_cuDoubleComplex(-1, 0)), cuConj(tap));
Ytf = cuCdiv(cuCmul(Ys, make_cuDoubleComplex(-1, 0)), tap);
int offsetTo, offsetFrom;
csrRowPtrYf[id] = id * 2 + BASE_INDEX;
offsetTo = (l_branch.from > l_branch.to) ? 0 : 1;
offsetFrom = 1 - offsetTo;
csrColIndYf[id * 2 + offsetTo] = l_branch.to + BASE_INDEX;
csrValYf[id * 2 + offsetTo] = Yft;
csrColIndYf[id * 2 + offsetFrom] = l_branch.from + BASE_INDEX;
csrValYf[id * 2 + offsetFrom] = Yff;
csrRowPtrYt[id] = id * 2 + BASE_INDEX;
offsetTo = (l_branch.from > l_branch.to) ? 0 : 1;
offsetFrom = 1 - offsetTo;
csrColIndYt[id * 2 + offsetTo] = l_branch.to + BASE_INDEX;
csrValYt[id * 2 + offsetTo] = Ytt;
csrColIndYt[id * 2 + offsetFrom] = l_branch.from + BASE_INDEX;
csrValYt[id * 2 + offsetFrom] = Ytf;
if(id == (H_NBRANCH -1)){
id++;
csrRowPtrYt[id] = id * 2 + BASE_INDEX;
csrRowPtrYf[id] = id * 2 + BASE_INDEX;
csrRowPtrYsh[H_NBUS] = H_NBUS + BASE_INDEX;
}
}
}
/* autor: Igor Araújo
* Date : 03/02/2016
* Description: Compute Admittance Matrix using a hybrid approach CPU and GPU, with cuSparse library.
* */
__host__ void mkl_makeYbus(
vector<pso::Particula::Estrutura> estrutura,
pso::Particula particula,
Bus* buses,
Branch* branches)
{
// #1 Matrix Cf and Ct is the same to All tests, so compute only once in the first time.
// #1.1 Compute Matrix Cf and Ct in Coordinate Format (COO).
mkl_computeCfCt(
branches,
cooValCf,
cooRowCf,
cooColCf,
cooValCt,
cooRowCt,
cooColCt);
// #1.2 Sort Matrix Cf by ROW
// #1.3 Convert Matrix Cf in Coordinate Format(COO) to Compressed Sparse Row Format(CSR)
int job[6];
/*job - Array, contains the following conversion parameters:
job[0]
If job[0]=0, the matrix in the CSR format is converted to the coordinate format;
if job[0]=1, the matrix in the coordinate format is converted to the CSR format.
if job[0]=2, the matrix in the coordinate format is converted to the CSR format, and the column indices in CSR representation are sorted in the increasing order within each row.
job[1]
If job[1]=0, zero-based indexing for the matrix in CSR format is used;
if job[1]=1, one-based indexing for the matrix in CSR format is used.
job[2]
If job[2]=0, zero-based indexing for the matrix in coordinate format is used;
if job[2]=1, one-based indexing for the matrix in coordinate format is used.
job[4]
job[4]=nzmax - maximum number of the non-zero elements allowed if job[0]=0.
job[5] - job indicator.
For conversion to the coordinate format:
If job[5]=1, only array rowind is filled in for the output storage.
If job[5]=2, arrays rowind, colind are filled in for the output storage.
If job[5]=3, all arrays rowind, colind, acoo are filled in for the output storage.
For conversion to the CSR format:
If job[5]=0, all arrays acsr, ja, ia are filled in for the output storage.
If job[5]=1, only array ia is filled in for the output storage.
If job[5]=2, then it is assumed that the routine already has been called with the job[5]=1, and the user allocated the required space for storing the output arrays acsr and ja.
*/
job[0] = 2;
job[1] = BASE_INDEX;
job[2] = BASE_INDEX;
job[4] = nnzCf;
job[5] = 0;
int info;
MKL_ZCSRCOO((const int*) &job,(const int*) &H_NBUS, csrValCf, csrColIndCf,csrRowPtrCf, &nnzCf,cooValCf, cooRowCf, cooColCf, &info);
if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
// #1.4 Sort Matrix Ct by ROW
// #1.5 Convert Matrix Ct in Coordinate Format(COO) to Compressed Sparse Row Format(CSR)
job[0] = 2;
job[1] = BASE_INDEX;
job[2] = BASE_INDEX;
job[4] = nnzCt;
job[5] = 0;
MKL_ZCSRCOO((const int*) &job,(const int*) &H_NBUS, csrValCt, csrColIndCt,csrRowPtrCt, &nnzCt,cooValCt, cooRowCt, cooColCt, &info);
if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
// #2 Compute Matrix Yf and Yt
mkl_computeYfYt(
buses,
branches,
csrValYt,
csrRowPtrYt,
csrColIndYt,
csrValYf,
csrRowPtrYf,
csrColIndYf,
csrValYsh,
csrRowPtrYsh,
csrColIndYsh,
estrutura,
particula);
// #3 Compute Admittance Matrix(Ybus) by equation Ybus = Cf * Yf + Ct * Yt + Ysh
// #3.1 Compute Cf * Yf from equation
{
const char transa = 'N';const int request = 1;const int sort = 0;const int m = H_NBUS; const int n = H_NBRANCH; const int k = H_NBUS;const int nnz = 0;
MKL_ZCSRMULTCSR( &transa, &request, &sort, &m, &n, &k, csrValCf, csrColIndCf, csrRowPtrCf, csrValYf, csrColIndYf, csrRowPtrYf,csrValCfYf, csrColIndCfYf, csrRowPtrCfYf, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
nnzCfYf = csrRowPtrCfYf[m] - 1;
csrColIndCfYf = (int*) MKL_malloc(sizeof(int) * nnzCfYf, 64);
csrValCfYf = (cuDoubleComplex*) MKL_malloc(sizeof(cuDoubleComplex) * nnzCfYf, 64);
}
{
const char transa = 'N';const int request = 2;const int sort = 0;const int m = H_NBUS; const int n = H_NBRANCH; const int k = H_NBUS;const int nnz = nnzCfYf;
MKL_ZCSRMULTCSR( &transa, &request, &sort, &m, &n, &k, csrValCf, csrColIndCf, csrRowPtrCf, csrValYf, csrColIndYf, csrRowPtrYf,csrValCfYf, csrColIndCfYf, csrRowPtrCfYf, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
{
const char transa = 'N';const int request = 0;const int sort = 0;const int m = H_NBUS; const int n = H_NBRANCH; const int k = H_NBUS;const int nnz = nnzCfYf;
MKL_ZCSRMULTCSR( &transa, &request, &sort, &m, &n, &k, csrValCf, csrColIndCf, csrRowPtrCf, csrValYf, csrColIndYf, csrRowPtrYf,csrValCfYf, csrColIndCfYf, csrRowPtrCfYf, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
// #3.2 Compute Ct * Yt from equation
{
const char transa = 'N';const int request = 1;const int sort = 0;const int m = H_NBUS; const int n = H_NBRANCH; const int k = H_NBUS;const int nnz = nnzCtYt;
MKL_ZCSRMULTCSR( &transa, &request, &sort, &m, &n, &k, csrValCt, csrColIndCt, csrRowPtrCt, csrValYt, csrColIndYt, csrRowPtrYt,csrValCtYt, csrColIndCtYt, csrRowPtrCtYt, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
nnzCtYt = csrRowPtrCtYt[m] - 1;
csrColIndCtYt = (int*) MKL_malloc(sizeof(int) * nnzCtYt, 64);
csrValCtYt = (cuDoubleComplex*) MKL_malloc(sizeof(cuDoubleComplex) * nnzCtYt, 64);
}
{
const char transa = 'N';const int request = 2;const int sort = 0;const int m = H_NBUS; const int n = H_NBRANCH; const int k = H_NBUS;const int nnz = nnzCtYt;
MKL_ZCSRMULTCSR( &transa, &request, &sort, &m, &n, &k, csrValCt, csrColIndCt, csrRowPtrCt, csrValYt, csrColIndYt, csrRowPtrYt,csrValCtYt, csrColIndCtYt, csrRowPtrCtYt, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
{
const char transa = 'N';const int request = 0;const int sort = 0;const int m = H_NBUS; const int n = H_NBRANCH; const int k = H_NBUS;const int nnz = nnzCtYt;
MKL_ZCSRMULTCSR( &transa, &request, &sort, &m, &n, &k, csrValCt, csrColIndCt, csrRowPtrCt, csrValYt, csrColIndYt, csrRowPtrYt,csrValCtYt, csrColIndCtYt, csrRowPtrCtYt, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
// #3.3 Compute CfYf + CtYt from equation
cuDoubleComplex scalar = make_cuDoubleComplex(1.0,0);
{
const char transa = 'N';const int request = 1;const int sort = 0;const int m = H_NBUS; const int n = H_NBUS;const int nnz = nnzCfYfCtYt;
MKL_ZCSRADD( &transa, &request, &sort, &m, &n, csrValCfYf, csrColIndCfYf, csrRowPtrCfYf, &scalar, csrValCtYt, csrColIndCtYt, csrRowPtrCtYt, csrValCfYfCtYt, csrColIndCfYfCtYt, csrRowPtrCfYfCtYt, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
nnzCfYfCtYt = csrRowPtrCfYfCtYt[m] - 1;
csrColIndCfYfCtYt = (int*) MKL_malloc(sizeof(int) * nnzCfYfCtYt, 64);
csrValCfYfCtYt = (cuDoubleComplex*) MKL_malloc(sizeof(cuDoubleComplex) * nnzCfYfCtYt, 64);
}
{
const char transa = 'N';const int request = 2;const int sort = 0;const int m = H_NBUS; const int n = H_NBUS;const int nnz = nnzCfYfCtYt;
MKL_ZCSRADD( &transa, &request, &sort, &m, &n, csrValCfYf, csrColIndCfYf, csrRowPtrCfYf, &scalar, csrValCtYt, csrColIndCtYt, csrRowPtrCtYt, csrValCfYfCtYt, csrColIndCfYfCtYt, csrRowPtrCfYfCtYt, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
{
const char transa = 'N';const int request = 0;const int sort = 0;const int m = H_NBUS; const int n = H_NBUS;const int nnz = nnzCfYfCtYt;
MKL_ZCSRADD( &transa, &request, &sort, &m, &n, csrValCfYf, csrColIndCfYf, csrRowPtrCfYf, &scalar, csrValCtYt, csrColIndCtYt, csrRowPtrCtYt, csrValCfYfCtYt, csrColIndCfYfCtYt, csrRowPtrCfYfCtYt, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
// #3.4 Compute CfYfCtYt + Ysh from equation
{
const char transa = 'N';const int request = 1;const int sort = 0;const int m = H_NBUS; const int n = H_NBUS;const int nnz = nnzYbus;
MKL_ZCSRADD( &transa, &request, &sort, &m, &n, csrValCfYfCtYt, csrColIndCfYfCtYt, csrRowPtrCfYfCtYt, &scalar, csrValYsh, csrColIndYsh, csrRowPtrYsh, csrValYbus, csrColIndYbus, csrRowPtrYbus, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
nnzYbus = csrRowPtrYbus[m] - 1;
csrColIndYbus = (int*) MKL_malloc(sizeof(int) * nnzYbus, 64);
csrValYbus = (cuDoubleComplex*) MKL_malloc(sizeof(cuDoubleComplex) * nnzYbus, 64);
}
{
const char transa = 'N';const int request = 2;const int sort = 0;const int m = H_NBUS; const int n = H_NBUS;const int nnz = nnzYbus;
MKL_ZCSRADD( &transa, &request, &sort, &m, &n, csrValCfYfCtYt, csrColIndCfYfCtYt, csrRowPtrCfYfCtYt, &scalar, csrValYsh, csrColIndYsh, csrRowPtrYsh, csrValYbus, csrColIndYbus, csrRowPtrYbus, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
{
const char transa = 'N';const int request = 0;const int sort = 0;const int m = H_NBUS; const int n = H_NBUS;const int nnz = nnzYbus;
MKL_ZCSRADD( &transa, &request, &sort, &m, &n, csrValCfYfCtYt, csrColIndCfYfCtYt, csrRowPtrCfYfCtYt, &scalar, csrValYsh, csrColIndYsh, csrRowPtrYsh, csrValYbus, csrColIndYbus, csrRowPtrYbus, &nnz, &info);if(info) {printf("MKL Library error in %s at %d", __FILE__, __LINE__);exit(1);}
}
MKL_free(csrColIndCfYf);
MKL_free(csrValCfYf);
MKL_free(csrColIndCtYt);
MKL_free(csrValCtYt);
MKL_free(csrColIndCfYfCtYt);
MKL_free(csrValCfYfCtYt);
}
__global__ void hybrid_computeCfCt(
Branch *branches,
cuDoubleComplex *cooValCf,
int *cooRowCf,
int *cooColCf,
cuDoubleComplex *cooValCt,
int *cooRowCt,
int *cooColCt)
{
int id = ID();
if (id < D_NBRANCH)
{
Branch l_branch = branches[id];
cooValCf[id] = make_cuDoubleComplex(1, 0);
cooRowCf[id] = l_branch.from;
cooColCf[id] = id;
cooValCt[id] = make_cuDoubleComplex(1, 0);
cooRowCt[id] = l_branch.to;
cooColCt[id] = id;
// if(id == (D_NBRANCH -1 )){
// id++;
// cooColCt[id] = id;
// cooColCf[id] = id;
// }
}
}
__global__ void hybrid_computeYfYt(Bus *buses, Branch *branches,
cuDoubleComplex *csrValYt, int *csrRowPtrYt, int *csrColIndYt,
cuDoubleComplex *csrValYf, int *csrRowPtrYf, int *csrColIndYf,
cuDoubleComplex *csrValYsh, int *csrRowPtrYsh, int *csrColIndYsh,
pso::Particula::Estrutura *d_estrutura, double *d_enxame) {
int id = ID();
if (id < D_NBRANCH) {
if (id < D_NBUS) {
Bus l_bus = buses[id];
double Bsh = (l_bus.indiceEstrutura != -1 && d_estrutura[l_bus.indiceEstrutura].tipo == pso::Particula::Estrutura::SHC) ? d_enxame[l_bus.indiceEstrutura] : l_bus.Bsh ;
csrValYsh[id] = make_cuDoubleComplex(l_bus.Gsh, Bsh);
csrRowPtrYsh[id] = id;
csrColIndYsh[id] = id;
}
cuDoubleComplex Ytt;
cuDoubleComplex Yff;
cuDoubleComplex Yft;
cuDoubleComplex Ytf;
Branch l_branch = branches[id];
int stat = (l_branch.inservice) ? 1 : 0;
cuDoubleComplex impedance = make_cuDoubleComplex(l_branch.R,
l_branch.X);
cuDoubleComplex Ys = cuCdiv(make_cuDoubleComplex(stat, 0), impedance);
cuDoubleComplex susceptance = make_cuDoubleComplex(0, l_branch.B);
cuDoubleComplex Bc = cuCmul(make_cuDoubleComplex(stat, 0), susceptance);
cuDoubleComplex tap = (l_branch.tap != 0) ? ((l_branch.indiceEstrutura != -1) ? make_cuDoubleComplex(d_enxame[l_branch.indiceEstrutura], 0) : make_cuDoubleComplex(l_branch.tap, 0)) : make_cuDoubleComplex(1, 0);
cuDoubleComplex phase_shifter = make_cuDoubleComplex(0,
M_PI / 180.0 * l_branch.shift);
tap = cuCmul(tap, cuCexp(phase_shifter));
Ytt = cuCadd(Ys, cuCdiv(Bc, make_cuDoubleComplex(2, 0)));
Yff = cuCdiv(Ytt, cuCmul(tap, cuConj(tap)));
Yft = cuCdiv(cuCmul(Ys, make_cuDoubleComplex(-1, 0)), cuConj(tap));
Ytf = cuCdiv(cuCmul(Ys, make_cuDoubleComplex(-1, 0)), tap);
int offsetTo, offsetFrom;
csrRowPtrYf[id] = id * 2;
offsetTo = (l_branch.from > l_branch.to) ? 0 : 1;
offsetFrom = 1 - offsetTo;
csrColIndYf[id * 2 + offsetTo] = l_branch.to;
csrValYf[id * 2 + offsetTo] = Yft;
csrColIndYf[id * 2 + offsetFrom] = l_branch.from;
csrValYf[id * 2 + offsetFrom] = Yff;
csrRowPtrYt[id] = id * 2;
offsetTo = (l_branch.from > l_branch.to) ? 0 : 1;
offsetFrom = 1 - offsetTo;
csrColIndYt[id * 2 + offsetTo] = l_branch.to;
csrValYt[id * 2 + offsetTo] = Ytt;
csrColIndYt[id * 2 + offsetFrom] = l_branch.from;
csrValYt[id * 2 + offsetFrom] = Ytf;
if(id == (D_NBRANCH -1)){
id++;
csrRowPtrYt[id] = id * 2;
csrRowPtrYf[id] = id * 2;
csrRowPtrYsh[D_NBUS] = D_NBUS;
}
}
}
/* autor: Igor Araújo
* Date : 03/02/2016
* Description: Compute Admittance Matrix using a hybrid approach CPU and GPU, with cuSparse library.
* */
__host__ void hybrid_makeYbus(
int nTest,
int sizeEstrutura,
Bus *buses,
Branch *branches)
{
// #1 Matrix Cf and Ct is the same to All tests, so compute only once in the first time.
if (nTest == 0)
{
// #1.1 Compute Matrix Cf and Ct in Coordinate Format (COO).
hybrid_computeCfCt<<<BLOCKS(H_NBRANCH, H_THREADS), H_THREADS, 0, stream[nTest]>>>(
branches,
cooValCf,
cooRowCf,
cooColCf,
cooValCt,
cooRowCt,
cooColCt);
// #1.2 Sort Matrix Cf by ROW
size_t before = pBufferSizeInBytes;
checkCudaErrors(cusparseXcoosort_bufferSizeExt(sparseHandle, H_NBUS, H_NBRANCH, nnzCfcoo, cooRowCf, cooColCf, &pBufferSizeInBytes));
if(pBufferSizeInBytes > before){
checkCudaErrors(cudaMalloc((void**) &pBuffer , pBufferSizeInBytes * sizeof(char)));
}
checkCudaErrors(cusparseCreateIdentityPermutation(sparseHandle, nnzCfcoo, permutation));
checkCudaErrors(cusparseXcoosortByRow(sparseHandle, H_NBUS, H_NBRANCH, nnzCfcoo, cooRowCf, cooColCf, permutation, pBuffer));
checkCudaErrors(cusparseZgthr(sparseHandle, nnzCfcoo, cooValCf, csrValCf, permutation, CUSPARSE_INDEX_BASE_ZERO));
// #1.3 Convert Matrix Cf in Coordinate Format(COO) to Compressed Sparse Row Format(CSR)
checkCudaErrors(cusparseXcoo2csr(sparseHandle, (const int*) cooRowCf, nnzCf, H_NBUS, csrRowPtrCf, CUSPARSE_INDEX_BASE_ZERO));
checkCudaErrors(cudaMemcpy(csrColIndCf, cooColCf, nnzCf * sizeof(int), cudaMemcpyDeviceToDevice));
// #1.4 Sort Matrix Ct by ROW
before = pBufferSizeInBytes;
checkCudaErrors(cusparseXcoosort_bufferSizeExt(sparseHandle, H_NBUS, H_NBRANCH, nnzCtcoo, cooRowCt, cooColCt, &pBufferSizeInBytes));
if(pBufferSizeInBytes > before){
checkCudaErrors(cudaMalloc((void**) &pBuffer , pBufferSizeInBytes * sizeof(char)));
}
checkCudaErrors(cusparseCreateIdentityPermutation(sparseHandle, nnzCtcoo, permutation));
checkCudaErrors(cusparseXcoosortByRow(sparseHandle, H_NBUS, H_NBRANCH, nnzCtcoo, cooRowCt, cooColCt, permutation, pBuffer));
checkCudaErrors(cusparseZgthr(sparseHandle, nnzCtcoo, cooValCt, csrValCt, permutation, CUSPARSE_INDEX_BASE_ZERO));
// #1.5 Convert Matrix Ct in Coordinate Format(COO) to Compressed Sparse Row Format(CSR)
checkCudaErrors(cusparseXcoo2csr(sparseHandle, (const int*) cooRowCt, nnzCt, H_NBUS, csrRowPtrCt, CUSPARSE_INDEX_BASE_ZERO));
checkCudaErrors(cudaMemcpy(csrColIndCt, cooColCt, nnzCt * sizeof(int), cudaMemcpyDeviceToDevice));
}
// #2 Compute Matrix Yf and Yt
hybrid_computeYfYt<<<BLOCKS(H_NBRANCH, H_THREADS), H_THREADS, 0, stream[nTest]>>>(
buses,
branches,
csrValYt + nnzYt * nTest,
csrRowPtrYt,
csrColIndYt,
csrValYf + nnzYf * nTest,
csrRowPtrYf,
csrColIndYf,
csrValYsh + nnzYsh * nTest,
csrRowPtrYsh,
csrColIndYsh,
d_estrutura,
d_enxame + nTest * sizeEstrutura);
// #3 Compute Admittance Matrix(Ybus) by equation Ybus = Cf * Yf + Ct * Yt + Ysh
// #3.1 Compute Cf * Yf from equation
if(nTest == 0)
{
checkCudaErrors(cusparseCreateMatDescr(&descrCf));
checkCudaErrors(cusparseCreateMatDescr(&descrYf));
checkCudaErrors(cusparseCreateMatDescr(&descrCfYf));
checkCudaErrors(cusparseSetMatType(descrCf, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseSetMatType(descrYf, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseSetMatType(descrCfYf, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseXcsrgemmNnz(sparseHandle, CUSPARSE_OPERATION_NON_TRANSPOSE, CUSPARSE_OPERATION_NON_TRANSPOSE, H_NBUS, H_NBUS, H_NBRANCH, descrCf, nnzCf, csrRowPtrCf, csrColIndCf, descrYf, nnzYf, csrRowPtrYf, csrColIndYf, descrCfYf, csrRowPtrCfYf, &nnzCfYf));
checkCudaErrors(cudaMalloc((void**)&csrColIndCfYf , sizeof(int) * nnzCfYf));
checkCudaErrors(cudaMalloc((void**)&csrValCfYf , sizeof(cuDoubleComplex) * nnzCfYf));
checkCudaErrors(cusparseZcsrgemm(sparseHandle, CUSPARSE_OPERATION_NON_TRANSPOSE, CUSPARSE_OPERATION_NON_TRANSPOSE, H_NBUS, H_NBUS, H_NBRANCH, descrCf, nnzCf, csrValCf, csrRowPtrCf, csrColIndCf, descrYf, nnzYf, csrValYf, csrRowPtrYf, csrColIndYf, descrCfYf, csrValCfYf, csrRowPtrCfYf, csrColIndCfYf));
}
else
{
checkCudaErrors(cusparseZcsrgemm(sparseHandle, CUSPARSE_OPERATION_NON_TRANSPOSE, CUSPARSE_OPERATION_NON_TRANSPOSE, H_NBUS, H_NBUS, H_NBRANCH, descrCf, nnzCf, csrValCf, csrRowPtrCf, csrColIndCf, descrCfYf, nnzYf, csrValYf + nnzYf * nTest, csrRowPtrYf, csrColIndYf, descrCfYf, csrValCfYf, csrRowPtrCfYf, csrColIndCfYf));
}
// #3.2 Compute Ct * Yt from equation
if(nTest == 0)
{
checkCudaErrors(cusparseCreateMatDescr(&descrCt));
checkCudaErrors(cusparseCreateMatDescr(&descrYt));
checkCudaErrors(cusparseCreateMatDescr(&descrCtYt));
checkCudaErrors(cusparseSetMatType(descrCt, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseSetMatType(descrYt, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseSetMatType(descrCtYt, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseXcsrgemmNnz(sparseHandle, CUSPARSE_OPERATION_NON_TRANSPOSE, CUSPARSE_OPERATION_NON_TRANSPOSE, H_NBUS, H_NBUS, H_NBRANCH, descrCt, nnzCt, csrRowPtrCt, csrColIndCt, descrYt, nnzYt, csrRowPtrYt, csrColIndYt, descrCtYt, csrRowPtrCtYt, &nnzCtYt));
checkCudaErrors(cudaMalloc((void**)&csrColIndCtYt , sizeof(int) * nnzCtYt));
checkCudaErrors(cudaMalloc((void**)&csrValCtYt , sizeof(cuDoubleComplex) * nnzCtYt));
checkCudaErrors(cusparseZcsrgemm(sparseHandle, CUSPARSE_OPERATION_NON_TRANSPOSE, CUSPARSE_OPERATION_NON_TRANSPOSE, H_NBUS, H_NBUS, H_NBRANCH, descrCt, nnzCt, csrValCt, csrRowPtrCt, csrColIndCt, descrYt, nnzYt, csrValYt, csrRowPtrYt, csrColIndYt, descrCtYt, csrValCtYt, csrRowPtrCtYt, csrColIndCtYt));
}
else
{
checkCudaErrors(cusparseZcsrgemm(sparseHandle, CUSPARSE_OPERATION_NON_TRANSPOSE, CUSPARSE_OPERATION_NON_TRANSPOSE, H_NBUS, H_NBUS, H_NBRANCH, descrCt, nnzCt, csrValCt, csrRowPtrCt, csrColIndCt, descrCtYt, nnzYt, csrValYt + nnzYt * nTest, csrRowPtrYt, csrColIndYt, descrCtYt, csrValCtYt, csrRowPtrCtYt, csrColIndCtYt));
}
// #3.3 Compute CfYf + CtYt from equation
if(nTest == 0)
{
checkCudaErrors(cusparseCreateMatDescr(&descrCfYfCtYt));
checkCudaErrors(cusparseSetMatType(descrCfYfCtYt, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseXcsrgeamNnz(sparseHandle, H_NBUS, H_NBUS, descrCfYf, nnzCfYf, csrRowPtrCfYf, csrColIndCfYf, descrCtYt, nnzCtYt, csrRowPtrCtYt, csrColIndCtYt, descrCfYfCtYt, csrRowPtrCfYfCtYt, &nnzCfYfCtYt));
checkCudaErrors(cudaMalloc((void**)&csrColIndCfYfCtYt , sizeof(int) * nnzCfYfCtYt));
checkCudaErrors(cudaMalloc((void**)&csrValCfYfCtYt , sizeof(cuDoubleComplex) * nnzCfYfCtYt));
cuDoubleComplex fator = make_cuDoubleComplex(1,0);
checkCudaErrors(cusparseZcsrgeam(sparseHandle, H_NBUS, H_NBUS, &fator, descrCfYf, nnzCfYf, (const cuDoubleComplex*)csrValCfYf, csrRowPtrCfYf, csrColIndCfYf, &fator, descrCtYt, nnzCtYt,(const cuDoubleComplex*) csrValCtYt, csrRowPtrCtYt, csrColIndCtYt, descrCfYfCtYt, csrValCfYfCtYt, csrRowPtrCfYfCtYt, csrColIndCfYfCtYt));
}
else
{
cuDoubleComplex fator = make_cuDoubleComplex(1,0);
checkCudaErrors(cusparseZcsrgeam(sparseHandle, H_NBUS, H_NBUS, &fator, descrCfYf, nnzCfYf, (const cuDoubleComplex*)csrValCfYf, csrRowPtrCfYf, csrColIndCfYf, &fator, descrCtYt, nnzCtYt,(const cuDoubleComplex*) csrValCtYt, csrRowPtrCtYt, csrColIndCtYt, descrCfYfCtYt, csrValCfYfCtYt, csrRowPtrCfYfCtYt, csrColIndCfYfCtYt));
}
// #3.4 Compute CfYfCtYt + Ysh from equation
if(nTest == 0)
{
checkCudaErrors(cusparseCreateMatDescr(&descrYsh));
checkCudaErrors(cusparseCreateMatDescr(&descrYbus));
checkCudaErrors(cusparseSetMatType(descrYsh, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseSetMatType(descrYbus, CUSPARSE_MATRIX_TYPE_GENERAL));
checkCudaErrors(cusparseXcsrgeamNnz(sparseHandle, H_NBUS, H_NBUS, descrCfYfCtYt, nnzCfYfCtYt, csrRowPtrCfYfCtYt, csrColIndCfYfCtYt, descrYsh, nnzYsh, csrRowPtrYsh, csrColIndYsh, descrYbus, csrRowPtrYbus, &nnzYbus));
checkCudaErrors(cudaMalloc((void**)&csrColIndYbus , sizeof(int) * nnzYbus ));
checkCudaErrors(cudaMalloc((void**)&csrValYbus , sizeof(cuDoubleComplex) * nnzYbus * H_NTESTS));
cuDoubleComplex fator = make_cuDoubleComplex(1,0);
checkCudaErrors(cusparseZcsrgeam(sparseHandle, H_NBUS, H_NBUS, &fator, descrCfYfCtYt, nnzCfYfCtYt, (const cuDoubleComplex*)csrValCfYfCtYt, csrRowPtrCfYfCtYt, csrColIndCfYfCtYt, &fator, descrYsh, nnzYsh,(const cuDoubleComplex*) csrValYsh, csrRowPtrYsh, csrColIndYsh, descrYbus, csrValYbus, csrRowPtrYbus, csrColIndYbus));
}
else
{
cuDoubleComplex fator = make_cuDoubleComplex(1,0);
checkCudaErrors(cusparseZcsrgeam(sparseHandle, H_NBUS, H_NBUS, &fator, descrCfYfCtYt, nnzCfYfCtYt, (const cuDoubleComplex*)csrValCfYfCtYt, csrRowPtrCfYfCtYt, csrColIndCfYfCtYt, &fator, descrYsh, nnzYsh,(const cuDoubleComplex*) (csrValYsh + nnzYsh * nTest), csrRowPtrYsh, csrColIndYsh, descrYbus, csrValYbus + nnzYbus * nTest, csrRowPtrYbus, csrColIndYbus));
}
}
#endif /* MAKEYBUS_CUH_ */
|
pclantr.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @generated from /home/luszczek/workspace/plasma/bitbucket/plasma/compute/pzlantr.c, normal z -> c, Fri Sep 28 17:38:13 2018
*
**/
#include "plasma_async.h"
#include "plasma_context.h"
#include "plasma_descriptor.h"
#include "plasma_internal.h"
#include "plasma_types.h"
#include "plasma_workspace.h"
#include <plasma_core_blas.h>
#define A(m, n) (plasma_complex32_t*)plasma_tile_addr(A, m, n)
/***************************************************************************//**
* Parallel tile calculation of max, one, infinity or Frobenius matrix norm
* for a triangular matrix.
******************************************************************************/
void plasma_pclantr(plasma_enum_t norm, plasma_enum_t uplo, plasma_enum_t diag,
plasma_desc_t A, float *work, float *value,
plasma_sequence_t *sequence, plasma_request_t *request)
{
// Return if failed sequence.
if (sequence->status != PlasmaSuccess)
return;
switch (norm) {
float stub;
float *workspace;
float *scale;
float *sumsq;
//================
// PlasmaMaxNorm
//================
case PlasmaMaxNorm:
for (int m = 0; m < A.mt; m++) {
int mvam = plasma_tile_mview(A, m);
int ldam = plasma_tile_mmain(A, m);
if (uplo == PlasmaLower) {
for (int n = 0; n < imin(m, A.nt); n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_clange(PlasmaMaxNorm,
mvam, nvan,
A(m, n), ldam,
&stub, &work[A.mt*n+m],
sequence, request);
}
}
else { // PlasmaUpper
for (int n = m+1; n < A.nt; n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_clange(PlasmaMaxNorm,
mvam, nvan,
A(m, n), ldam,
&stub, &work[A.mt*n+m],
sequence, request);
}
}
if (m < A.nt) {
int nvam = plasma_tile_nview(A, m);
plasma_core_omp_clantr(PlasmaMaxNorm, uplo, diag,
mvam, nvam,
A(m, m), ldam,
&stub, &work[A.mt*m+m],
sequence, request);
}
}
#pragma omp taskwait
plasma_core_omp_slantr(PlasmaMaxNorm, uplo, PlasmaNonUnit,
A.mt, A.nt,
work, A.mt,
&stub, value,
sequence, request);
break;
//================
// PlasmaOneNorm
//================
case PlasmaOneNorm:
for (int m = 0; m < A.mt; m++) {
int mvam = plasma_tile_mview(A, m);
int ldam = plasma_tile_mmain(A, m);
if (uplo == PlasmaLower) {
for (int n = 0; n < imin(m, A.nt); n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_clange_aux(PlasmaOneNorm,
mvam, nvan,
A(m, n), ldam,
&work[A.n*m+n*A.nb],
sequence, request);
}
}
else { // PlasmaUpper
for (int n = m+1; n < A.nt; n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_clange_aux(PlasmaOneNorm,
mvam, nvan,
A(m, n), ldam,
&work[A.n*m+n*A.nb],
sequence, request);
}
}
if (m < A.nt) {
int nvam = plasma_tile_nview(A, m);
plasma_core_omp_clantr_aux(PlasmaOneNorm, uplo, diag,
mvam, nvam,
A(m, m), ldam,
&work[A.n*m+m*A.nb],
sequence, request);
}
}
#pragma omp taskwait
workspace = work + A.mt*A.n;
plasma_core_omp_slange(PlasmaInfNorm,
A.n, A.mt,
work, A.n,
workspace, value,
sequence, request);
break;
//================
// PlasmaInfNorm
//================
case PlasmaInfNorm:
for (int m = 0; m < A.mt; m++) {
int mvam = plasma_tile_mview(A, m);
int ldam = plasma_tile_mmain(A, m);
if (uplo == PlasmaLower) {
for (int n = 0; n < imin(m, A.nt); n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_clange_aux(PlasmaInfNorm,
mvam, nvan,
A(m, n), ldam,
&work[A.m*n+m*A.mb],
sequence, request);
}
}
else { // PlasmaUpper
for (int n = m+1; n < A.nt; n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_clange_aux(PlasmaInfNorm,
mvam, nvan,
A(m, n), ldam,
&work[A.m*n+m*A.mb],
sequence, request);
}
}
if (m < A.nt) {
int nvam = plasma_tile_nview(A, m);
plasma_core_omp_clantr_aux(PlasmaInfNorm, uplo, diag,
mvam, nvam,
A(m, m), ldam,
&work[A.m*m+m*A.nb],
sequence, request);
}
}
#pragma omp taskwait
workspace = work + A.nt*A.m;
plasma_core_omp_slange(PlasmaInfNorm,
A.m, A.nt,
work, A.m,
workspace, value,
sequence, request);
break;
//======================
// PlasmaFrobeniusNorm
//======================
case PlasmaFrobeniusNorm:
scale = work;
sumsq = work + A.mt*A.nt;
for (int m = 0; m < A.mt; m++) {
int mvam = plasma_tile_mview(A, m);
int ldam = plasma_tile_mmain(A, m);
if (uplo == PlasmaLower) {
for (int n = 0; n < imin(m, A.nt); n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_cgessq(mvam, nvan,
A(m, n), ldam,
&scale[A.mt*n+m], &sumsq[A.mt*n+m],
sequence, request);
}
}
else { // PlasmaUpper
for (int n = m+1; n < A.nt; n++) {
int nvan = plasma_tile_nview(A, n);
plasma_core_omp_cgessq(mvam, nvan,
A(m, n), ldam,
&scale[A.mt*n+m], &sumsq[A.mt*n+m],
sequence, request);
}
}
if (m < A.nt) {
int nvam = plasma_tile_nview(A, m);
plasma_core_omp_ctrssq(uplo, diag,
mvam, nvam,
A(m, m), ldam,
&scale[A.mt*m+m], &sumsq[A.mt*m+m],
sequence, request);
}
}
#pragma omp taskwait
plasma_core_omp_sgessq_aux(A.mt*A.nt,
scale, sumsq,
value,
sequence, request);
break;
}
}
|
convolution_3x3_pack8_fp16.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void conv3x3s1_winograd64_transform_kernel_fp16_pack8_avx(const Mat& kernel, Mat& kernel_tm_pack8, int inch, int outch)
{
// winograd63 transform kernel
Mat kernel_tm;
kernel_tm.create(8 * 8, inch, outch);
const float ktm[8][3] = {
{1.0f, 0.0f, 0.0f},
{-2.0f / 9, -2.0f / 9, -2.0f / 9},
{-2.0f / 9, 2.0f / 9, -2.0f / 9},
{1.0f / 90, 1.0f / 45, 2.0f / 45},
{1.0f / 90, -1.0f / 45, 2.0f / 45},
{1.0f / 45, 1.0f / 90, 1.0f / 180},
{1.0f / 45, -1.0f / 90, 1.0f / 180},
{0.0f, 0.0f, 1.0f}
};
#pragma omp parallel for
for (int p = 0; p < outch; p++)
{
for (int q = 0; q < inch; q++)
{
const float* kernel0 = (const float*)kernel + p * inch * 9 + q * 9;
float* kernel_tm0 = kernel_tm.channel(p).row(q);
// transform kernel, transposed
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
// h
float tmp[8][3];
for (int i = 0; i < 8; i++)
{
tmp[i][0] = k0[0] * ktm[i][0] + k0[1] * ktm[i][1] + k0[2] * ktm[i][2];
tmp[i][1] = k1[0] * ktm[i][0] + k1[1] * ktm[i][1] + k1[2] * ktm[i][2];
tmp[i][2] = k2[0] * ktm[i][0] + k2[1] * ktm[i][1] + k2[2] * ktm[i][2];
}
// v
for (int j = 0; j < 8; j++)
{
float* tmpp = &tmp[j][0];
for (int i = 0; i < 8; i++)
{
kernel_tm0[j * 8 + i] = tmpp[0] * ktm[i][0] + tmpp[1] * ktm[i][1] + tmpp[2] * ktm[i][2];
}
}
}
}
// interleave
// src = 64-inch-outch
// dst = 8b-8a-inch/8a-64-outch/8b;
//fp16
kernel_tm_pack8.create(inch / 8, 64, outch / 8, (size_t)2u * 64, 64);
int q = 0;
for (; q + 7 < outch; q += 8)
{
const Mat k0 = kernel_tm.channel(q);
const Mat k1 = kernel_tm.channel(q + 1);
const Mat k2 = kernel_tm.channel(q + 2);
const Mat k3 = kernel_tm.channel(q + 3);
const Mat k4 = kernel_tm.channel(q + 4);
const Mat k5 = kernel_tm.channel(q + 5);
const Mat k6 = kernel_tm.channel(q + 6);
const Mat k7 = kernel_tm.channel(q + 7);
Mat g0 = kernel_tm_pack8.channel(q / 8);
for (int k = 0; k < 64; k++)
{
//fp16
unsigned short* g00 = (unsigned short*)g0.row(k);
for (int p = 0; p + 7 < inch; p += 8)
{
const float* k00 = k0.row(p);
const float* k01 = k0.row(p + 1);
const float* k02 = k0.row(p + 2);
const float* k03 = k0.row(p + 3);
const float* k04 = k0.row(p + 4);
const float* k05 = k0.row(p + 5);
const float* k06 = k0.row(p + 6);
const float* k07 = k0.row(p + 7);
const float* k10 = k1.row(p);
const float* k11 = k1.row(p + 1);
const float* k12 = k1.row(p + 2);
const float* k13 = k1.row(p + 3);
const float* k14 = k1.row(p + 4);
const float* k15 = k1.row(p + 5);
const float* k16 = k1.row(p + 6);
const float* k17 = k1.row(p + 7);
const float* k20 = k2.row(p);
const float* k21 = k2.row(p + 1);
const float* k22 = k2.row(p + 2);
const float* k23 = k2.row(p + 3);
const float* k24 = k2.row(p + 4);
const float* k25 = k2.row(p + 5);
const float* k26 = k2.row(p + 6);
const float* k27 = k2.row(p + 7);
const float* k30 = k3.row(p);
const float* k31 = k3.row(p + 1);
const float* k32 = k3.row(p + 2);
const float* k33 = k3.row(p + 3);
const float* k34 = k3.row(p + 4);
const float* k35 = k3.row(p + 5);
const float* k36 = k3.row(p + 6);
const float* k37 = k3.row(p + 7);
const float* k40 = k4.row(p);
const float* k41 = k4.row(p + 1);
const float* k42 = k4.row(p + 2);
const float* k43 = k4.row(p + 3);
const float* k44 = k4.row(p + 4);
const float* k45 = k4.row(p + 5);
const float* k46 = k4.row(p + 6);
const float* k47 = k4.row(p + 7);
const float* k50 = k5.row(p);
const float* k51 = k5.row(p + 1);
const float* k52 = k5.row(p + 2);
const float* k53 = k5.row(p + 3);
const float* k54 = k5.row(p + 4);
const float* k55 = k5.row(p + 5);
const float* k56 = k5.row(p + 6);
const float* k57 = k5.row(p + 7);
const float* k60 = k6.row(p);
const float* k61 = k6.row(p + 1);
const float* k62 = k6.row(p + 2);
const float* k63 = k6.row(p + 3);
const float* k64 = k6.row(p + 4);
const float* k65 = k6.row(p + 5);
const float* k66 = k6.row(p + 6);
const float* k67 = k6.row(p + 7);
const float* k70 = k7.row(p);
const float* k71 = k7.row(p + 1);
const float* k72 = k7.row(p + 2);
const float* k73 = k7.row(p + 3);
const float* k74 = k7.row(p + 4);
const float* k75 = k7.row(p + 5);
const float* k76 = k7.row(p + 6);
const float* k77 = k7.row(p + 7);
g00[0] = float32_to_float16(k00[k]);
g00[1] = float32_to_float16(k10[k]);
g00[2] = float32_to_float16(k20[k]);
g00[3] = float32_to_float16(k30[k]);
g00[4] = float32_to_float16(k40[k]);
g00[5] = float32_to_float16(k50[k]);
g00[6] = float32_to_float16(k60[k]);
g00[7] = float32_to_float16(k70[k]);
g00[8] = float32_to_float16(k01[k]);
g00[9] = float32_to_float16(k11[k]);
g00[10] = float32_to_float16(k21[k]);
g00[11] = float32_to_float16(k31[k]);
g00[12] = float32_to_float16(k41[k]);
g00[13] = float32_to_float16(k51[k]);
g00[14] = float32_to_float16(k61[k]);
g00[15] = float32_to_float16(k71[k]);
g00[16] = float32_to_float16(k02[k]);
g00[17] = float32_to_float16(k12[k]);
g00[18] = float32_to_float16(k22[k]);
g00[19] = float32_to_float16(k32[k]);
g00[20] = float32_to_float16(k42[k]);
g00[21] = float32_to_float16(k52[k]);
g00[22] = float32_to_float16(k62[k]);
g00[23] = float32_to_float16(k72[k]);
g00[24] = float32_to_float16(k03[k]);
g00[25] = float32_to_float16(k13[k]);
g00[26] = float32_to_float16(k23[k]);
g00[27] = float32_to_float16(k33[k]);
g00[28] = float32_to_float16(k43[k]);
g00[29] = float32_to_float16(k53[k]);
g00[30] = float32_to_float16(k63[k]);
g00[31] = float32_to_float16(k73[k]);
g00[32] = float32_to_float16(k04[k]);
g00[33] = float32_to_float16(k14[k]);
g00[34] = float32_to_float16(k24[k]);
g00[35] = float32_to_float16(k34[k]);
g00[36] = float32_to_float16(k44[k]);
g00[37] = float32_to_float16(k54[k]);
g00[38] = float32_to_float16(k64[k]);
g00[39] = float32_to_float16(k74[k]);
g00[40] = float32_to_float16(k05[k]);
g00[41] = float32_to_float16(k15[k]);
g00[42] = float32_to_float16(k25[k]);
g00[43] = float32_to_float16(k35[k]);
g00[44] = float32_to_float16(k45[k]);
g00[45] = float32_to_float16(k55[k]);
g00[46] = float32_to_float16(k65[k]);
g00[47] = float32_to_float16(k75[k]);
g00[48] = float32_to_float16(k06[k]);
g00[49] = float32_to_float16(k16[k]);
g00[50] = float32_to_float16(k26[k]);
g00[51] = float32_to_float16(k36[k]);
g00[52] = float32_to_float16(k46[k]);
g00[53] = float32_to_float16(k56[k]);
g00[54] = float32_to_float16(k66[k]);
g00[55] = float32_to_float16(k76[k]);
g00[56] = float32_to_float16(k07[k]);
g00[57] = float32_to_float16(k17[k]);
g00[58] = float32_to_float16(k27[k]);
g00[59] = float32_to_float16(k37[k]);
g00[60] = float32_to_float16(k47[k]);
g00[61] = float32_to_float16(k57[k]);
g00[62] = float32_to_float16(k67[k]);
g00[63] = float32_to_float16(k77[k]);
g00 += 64;
}
}
}
}
static void conv3x3s1_winograd64_fp16_pack8_avx(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel_tm, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
// pad to 6n+2
Mat bottom_blob_bordered = bottom_blob;
outw = (outw + 5) / 6 * 6;
outh = (outh + 5) / 6 * 6;
w = outw + 2;
h = outh + 2;
copy_make_border(bottom_blob, bottom_blob_bordered, 0, h - bottom_blob.h, 0, w - bottom_blob.w, BORDER_CONSTANT, 0.f, opt);
const float* bias = _bias;
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = w_tm / 8 * h_tm / 8;
bottom_blob_tm.create(tiles, 64, inch, elemsize, elempack, opt.workspace_allocator);
// const float itm[8][8] = {
// {1.0f, 0.0f, -5.25f, 0.00f, 5.25f, 0.00f, -1.0f, 0.0f},
//
// {0.0f, 1.0f, 1.00f, -4.25f, -4.25f, 1.00f, 1.0f, 0.0f},
// {0.0f, -1.0f, 1.00f, 4.25f, -4.25f, -1.00f, 1.0f, 0.0f},
//
// {0.0f, 0.5f, 0.25f, -2.50f, -1.25f, 2.00f, 1.0f, 0.0f},
// {0.0f, -0.5f, 0.25f, 2.50f, -1.25f, -2.00f, 1.0f, 0.0f},
//
// {0.0f, 2.0f, 4.00f, -2.50f, -5.00f, 0.50f, 1.0f, 0.0f},
// {0.0f, -2.0f, 4.00f, 2.50f, -5.00f, -0.50f, 1.0f, 0.0f},
//
// {0.0f, -1.0f, 0.00f, 5.25f, 0.00f, -5.25f, 0.0f, 1.0f}
// };
// 0 = r00 - r06 + (r04 - r02) * 5.25
// 7 = r07 - r01 + (r03 - r05) * 5.25
// 1 = (r02 + r06 - r04 * 4.25) + (r01 - r03 * 4.25 + r05)
// 2 = (r02 + r06 - r04 * 4.25) - (r01 - r03 * 4.25 + r05)
// 3 = (r06 + r02 * 0.25 - r04 * 1.25) + (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// 4 = (r06 + r02 * 0.25 - r04 * 1.25) - (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// reuse r04 * 1.25
// reuse r03 * 2.5
// 5 = (r06 + (r02 - r04 * 1.25) * 4) + (r01 * 2 - r03 * 2.5 + r05 * 0.5)
// 6 = (r06 + (r02 - r04 * 1.25) * 4) - (r01 * 2 - r03 * 2.5 + r05 * 0.5)
#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < inch; q++)
{
const Mat img0 = bottom_blob_bordered.channel(q);
Mat img0_tm = bottom_blob_tm.channel(q);
float tmp[8][8][8];
// tile
for (int i = 0; i < h_tm / 8; i++)
{
for (int j = 0; j < w_tm / 8; j++)
{
const float* r0 = img0.row(i * 6) + (j * 6) * 8;
for (int m = 0; m < 8; m++)
{
__m256 _r00 = _mm256_loadu_ps(r0);
__m256 _r01 = _mm256_loadu_ps(r0 + 8);
__m256 _r02 = _mm256_loadu_ps(r0 + 16);
__m256 _r03 = _mm256_loadu_ps(r0 + 24);
__m256 _r04 = _mm256_loadu_ps(r0 + 32);
__m256 _r05 = _mm256_loadu_ps(r0 + 40);
__m256 _r06 = _mm256_loadu_ps(r0 + 48);
__m256 _r07 = _mm256_loadu_ps(r0 + 56);
__m256 _tmp0m = _mm256_fmadd_1_ps(_mm256_sub_ps(_r00, _r06), _mm256_sub_ps(_r04, _r02), 5.25f);
__m256 _tmp7m = _mm256_fmadd_1_ps(_mm256_sub_ps(_r07, _r01), _mm256_sub_ps(_r03, _r05), 5.25f);
_mm256_storeu_ps(tmp[0][m], _tmp0m);
_mm256_storeu_ps(tmp[7][m], _tmp7m);
// tmp[0][m] = r0[0] - r0[6] + (r0[4] - r0[2]) * 5.25;
// tmp[7][m] = r0[7] - r0[1] + (r0[3] - r0[5]) * 5.25;
__m256 _tmp12a = _mm256_fmrsub_1_ps(_mm256_add_ps(_r02, _r06), _r04, 4.25f);
__m256 _tmp12b = _mm256_fmrsub_1_ps(_mm256_add_ps(_r01, _r05), _r03, 4.25f);
// float tmp12a = (r0[2] + r0[6] - r0[4] * 4.25);
// float tmp12b = (r0[1] + r0[5] - r0[3] * 4.25);
__m256 _tmp1m = _mm256_add_ps(_tmp12a, _tmp12b);
__m256 _tmp2m = _mm256_sub_ps(_tmp12a, _tmp12b);
_mm256_storeu_ps(tmp[1][m], _tmp1m);
_mm256_storeu_ps(tmp[2][m], _tmp2m);
// tmp[1][m] = tmp12a + tmp12b;
// tmp[2][m] = tmp12a - tmp12b;
__m256 _tmp34a = _mm256_fmrsub_1_ps(_mm256_fmadd_1_ps(_r06, _r02, 0.25f), _r04, 1.25f);
__m256 _tmp34b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_r01, _mm256_set1_ps(0.5f)), _r03, 2.5f), _r05, 2.f);
// float tmp34a = (r0[6] + r0[2] * 0.25 - r0[4] * 1.25);
// float tmp34b = (r0[1] * 0.5 - r0[3] * 2.5 + r0[5] * 2);
__m256 _tmp3m = _mm256_add_ps(_tmp34a, _tmp34b);
__m256 _tmp4m = _mm256_sub_ps(_tmp34a, _tmp34b);
_mm256_storeu_ps(tmp[3][m], _tmp3m);
_mm256_storeu_ps(tmp[4][m], _tmp4m);
// tmp[3][m] = tmp34a + tmp34b;
// tmp[4][m] = tmp34a - tmp34b;
__m256 _tmp56a = _mm256_fmadd_1_ps(_r06, _mm256_fmrsub_1_ps(_r02, _r04, 1.25f), 4.f);
__m256 _tmp56b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_r01, _mm256_set1_ps(2.f)), _r03, 2.5f), _r05, 0.5f);
// float tmp56a = (r0[6] + (r0[2] - r0[4] * 1.25) * 4);
// float tmp56b = (r0[1] * 2 - r0[3] * 2.5 + r0[5] * 0.5);
__m256 _tmp5m = _mm256_add_ps(_tmp56a, _tmp56b);
__m256 _tmp6m = _mm256_sub_ps(_tmp56a, _tmp56b);
_mm256_storeu_ps(tmp[5][m], _tmp5m);
_mm256_storeu_ps(tmp[6][m], _tmp6m);
// tmp[5][m] = tmp56a + tmp56b;
// tmp[6][m] = tmp56a - tmp56b;
r0 += w * 8;
}
float* r0_tm_0 = (float*)img0_tm + (i * w_tm / 8 + j) * 8;
float* r0_tm_1 = r0_tm_0 + tiles * 8;
float* r0_tm_2 = r0_tm_0 + tiles * 16;
float* r0_tm_3 = r0_tm_0 + tiles * 24;
float* r0_tm_4 = r0_tm_0 + tiles * 32;
float* r0_tm_5 = r0_tm_0 + tiles * 40;
float* r0_tm_6 = r0_tm_0 + tiles * 48;
float* r0_tm_7 = r0_tm_0 + tiles * 56;
for (int m = 0; m < 8; m++)
{
__m256 _tmp00 = _mm256_loadu_ps(tmp[m][0]);
__m256 _tmp01 = _mm256_loadu_ps(tmp[m][1]);
__m256 _tmp02 = _mm256_loadu_ps(tmp[m][2]);
__m256 _tmp03 = _mm256_loadu_ps(tmp[m][3]);
__m256 _tmp04 = _mm256_loadu_ps(tmp[m][4]);
__m256 _tmp05 = _mm256_loadu_ps(tmp[m][5]);
__m256 _tmp06 = _mm256_loadu_ps(tmp[m][6]);
__m256 _tmp07 = _mm256_loadu_ps(tmp[m][7]);
__m256 _r0tm0 = _mm256_fmadd_1_ps(_mm256_sub_ps(_tmp00, _tmp06), _mm256_sub_ps(_tmp04, _tmp02), 5.25f);
__m256 _r0tm7 = _mm256_fmadd_1_ps(_mm256_sub_ps(_tmp07, _tmp01), _mm256_sub_ps(_tmp03, _tmp05), 5.25f);
// r0_tm[0] = tmp0[0] - tmp0[6] + (tmp0[4] - tmp0[2]) * 5.25;
// r0_tm[7] = tmp0[7] - tmp0[1] + (tmp0[3] - tmp0[5]) * 5.25;
__m256 _tmp12a = _mm256_fmrsub_1_ps(_mm256_add_ps(_tmp02, _tmp06), _tmp04, 4.25f);
__m256 _tmp12b = _mm256_fmrsub_1_ps(_mm256_add_ps(_tmp01, _tmp05), _tmp03, 4.25f);
// float tmp12a = (tmp0[2] + tmp0[6] - tmp0[4] * 4.25);
// float tmp12b = (tmp0[1] + tmp0[5] - tmp0[3] * 4.25);
__m256 _r0tm1 = _mm256_add_ps(_tmp12a, _tmp12b);
__m256 _r0tm2 = _mm256_sub_ps(_tmp12a, _tmp12b);
// r0_tm[1] = tmp12a + tmp12b;
// r0_tm[2] = tmp12a - tmp12b;
__m256 _tmp34a = _mm256_fmrsub_1_ps(_mm256_fmadd_1_ps(_tmp06, _tmp02, 0.25f), _tmp04, 1.25f);
__m256 _tmp34b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_tmp01, _mm256_set1_ps(0.5f)), _tmp03, 2.5f), _tmp05, 2.f);
// float tmp34a = (tmp0[6] + tmp0[2] * 0.25 - tmp0[4] * 1.25);
// float tmp34b = (tmp0[1] * 0.5 - tmp0[3] * 2.5 + tmp0[5] * 2);
__m256 _r0tm3 = _mm256_add_ps(_tmp34a, _tmp34b);
__m256 _r0tm4 = _mm256_sub_ps(_tmp34a, _tmp34b);
// r0_tm[3] = tmp34a + tmp34b;
// r0_tm[4] = tmp34a - tmp34b;
__m256 _tmp56a = _mm256_fmadd_1_ps(_tmp06, _mm256_fmrsub_1_ps(_tmp02, _tmp04, 1.25f), 4.f);
__m256 _tmp56b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_tmp01, _mm256_set1_ps(2.f)), _tmp03, 2.5f), _tmp05, 0.5f);
// float tmp56a = (tmp0[6] + (tmp0[2] - tmp0[4] * 1.25) * 4);
// float tmp56b = (tmp0[1] * 2 - tmp0[3] * 2.5 + tmp0[5] * 0.5);
__m256 _r0tm5 = _mm256_add_ps(_tmp56a, _tmp56b);
__m256 _r0tm6 = _mm256_sub_ps(_tmp56a, _tmp56b);
// r0_tm[5] = tmp56a + tmp56b;
// r0_tm[6] = tmp56a - tmp56b;
_mm256_storeu_ps(r0_tm_0, _r0tm0);
_mm256_storeu_ps(r0_tm_1, _r0tm1);
_mm256_storeu_ps(r0_tm_2, _r0tm2);
_mm256_storeu_ps(r0_tm_3, _r0tm3);
_mm256_storeu_ps(r0_tm_4, _r0tm4);
_mm256_storeu_ps(r0_tm_5, _r0tm5);
_mm256_storeu_ps(r0_tm_6, _r0tm6);
_mm256_storeu_ps(r0_tm_7, _r0tm7);
r0_tm_0 += tiles * 64;
r0_tm_1 += tiles * 64;
r0_tm_2 += tiles * 64;
r0_tm_3 += tiles * 64;
r0_tm_4 += tiles * 64;
r0_tm_5 += tiles * 64;
r0_tm_6 += tiles * 64;
r0_tm_7 += tiles * 64;
}
}
}
}
}
bottom_blob_bordered = Mat();
// END transform input
// BEGIN dot
Mat top_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = h_tm / 8 * w_tm / 8;
Mat bottom_blob_tm2;
if (tiles >= 12)
bottom_blob_tm2.create(12 * inch, tiles / 12 + (tiles % 12) / 8 + (tiles % 12 % 8) / 4 + (tiles % 12 % 4) / 2 + tiles % 12 % 2, 64, elemsize, elempack, opt.workspace_allocator);
else if (tiles >= 8)
bottom_blob_tm2.create(8 * inch, tiles / 8 + (tiles % 8) / 4 + (tiles % 4) / 2 + tiles % 2, 64, elemsize, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 64, elemsize, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 64, elemsize, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 64, elemsize, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int r = 0; r < 64; r++)
{
Mat tm2 = bottom_blob_tm2.channel(r);
// tile
int i = 0;
for (; i + 11 < tiles; i += 12)
{
float* tm2p = tm2.row(i / 12);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
__m256 _r2 = _mm256_loadu_ps(r0 + 16);
__m256 _r3 = _mm256_loadu_ps(r0 + 24);
__m256 _r4 = _mm256_loadu_ps(r0 + 32);
__m256 _r5 = _mm256_loadu_ps(r0 + 40);
__m256 _r6 = _mm256_loadu_ps(r0 + 48);
__m256 _r7 = _mm256_loadu_ps(r0 + 56);
__m256 _r8 = _mm256_loadu_ps(r0 + 64);
__m256 _r9 = _mm256_loadu_ps(r0 + 72);
__m256 _r10 = _mm256_loadu_ps(r0 + 80);
__m256 _r11 = _mm256_loadu_ps(r0 + 88);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
_mm256_storeu_ps(tm2p + 16, _r2);
_mm256_storeu_ps(tm2p + 24, _r3);
_mm256_storeu_ps(tm2p + 32, _r4);
_mm256_storeu_ps(tm2p + 40, _r5);
_mm256_storeu_ps(tm2p + 48, _r6);
_mm256_storeu_ps(tm2p + 56, _r7);
_mm256_storeu_ps(tm2p + 64, _r8);
_mm256_storeu_ps(tm2p + 72, _r9);
_mm256_storeu_ps(tm2p + 80, _r10);
_mm256_storeu_ps(tm2p + 88, _r11);
tm2p += 96;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i + 7 < tiles; i += 8)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
__m256 _r2 = _mm256_loadu_ps(r0 + 16);
__m256 _r3 = _mm256_loadu_ps(r0 + 24);
_mm256_storeu_ps(tm2p + 16, _r2);
_mm256_storeu_ps(tm2p + 24, _r3);
__m256 _r4 = _mm256_loadu_ps(r0 + 32);
__m256 _r5 = _mm256_loadu_ps(r0 + 40);
_mm256_storeu_ps(tm2p + 32, _r4);
_mm256_storeu_ps(tm2p + 40, _r5);
__m256 _r6 = _mm256_loadu_ps(r0 + 48);
__m256 _r7 = _mm256_loadu_ps(r0 + 56);
_mm256_storeu_ps(tm2p + 48, _r6);
_mm256_storeu_ps(tm2p + 56, _r7);
tm2p += 64;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i + 3 < tiles; i += 4)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
__m256 _r2 = _mm256_loadu_ps(r0 + 16);
__m256 _r3 = _mm256_loadu_ps(r0 + 24);
_mm256_storeu_ps(tm2p + 16, _r2);
_mm256_storeu_ps(tm2p + 24, _r3);
tm2p += 32;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i + 1 < tiles; i += 2)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
tm2p += 16;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i < tiles; i++)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
_mm256_storeu_ps(tm2p, _r0);
tm2p += 8;
r0 += bottom_blob_tm.cstep * 8;
}
}
}
bottom_blob_tm = Mat();
// permute end
top_blob_tm.create(tiles, 64, outch, elemsize, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
float* output0_tm = top_blob_tm.channel(p);
const Mat kernel0_tm = kernel_tm.channel(p);
for (int r = 0; r < 64; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
//fp16
const unsigned short* k01 = (const unsigned short*)kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
__m256 _sum2 = _mm256_set1_ps(0.f);
__m256 _sum3 = _mm256_set1_ps(0.f);
__m256 _sum4 = _mm256_set1_ps(0.f);
__m256 _sum5 = _mm256_set1_ps(0.f);
__m256 _sum6 = _mm256_set1_ps(0.f);
__m256 _sum7 = _mm256_set1_ps(0.f);
__m256 _sum8 = _mm256_set1_ps(0.f);
__m256 _sum9 = _mm256_set1_ps(0.f);
__m256 _sum10 = _mm256_set1_ps(0.f);
__m256 _sum11 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
//__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _k01 = loadfp16(k01);
__m256 _r00 = _mm256_broadcast_ss(r0 + 0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
__m256 _r02 = _mm256_broadcast_ss(r0 + 16);
__m256 _r03 = _mm256_broadcast_ss(r0 + 24);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
__m256 _r04 = _mm256_broadcast_ss(r0 + 32);
__m256 _r05 = _mm256_broadcast_ss(r0 + 40);
__m256 _r06 = _mm256_broadcast_ss(r0 + 48);
__m256 _r07 = _mm256_broadcast_ss(r0 + 56);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
__m256 _r08 = _mm256_broadcast_ss(r0 + 64);
__m256 _r09 = _mm256_broadcast_ss(r0 + 72);
__m256 _r010 = _mm256_broadcast_ss(r0 + 80);
__m256 _r011 = _mm256_broadcast_ss(r0 + 88);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
//_k01 = _mm256_loadu_ps(k01 + 8);
_k01 = loadfp16(k01 + 8);
_r00 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_r02 = _mm256_broadcast_ss(r0 + 17);
_r03 = _mm256_broadcast_ss(r0 + 25);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 33);
_r05 = _mm256_broadcast_ss(r0 + 41);
_r06 = _mm256_broadcast_ss(r0 + 49);
_r07 = _mm256_broadcast_ss(r0 + 57);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 65);
_r09 = _mm256_broadcast_ss(r0 + 73);
_r010 = _mm256_broadcast_ss(r0 + 81);
_r011 = _mm256_broadcast_ss(r0 + 89);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
//_k01 = _mm256_loadu_ps(k01 + 16);
_k01 = loadfp16(k01 + 16);
_r00 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_r02 = _mm256_broadcast_ss(r0 + 18);
_r03 = _mm256_broadcast_ss(r0 + 26);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 34);
_r05 = _mm256_broadcast_ss(r0 + 42);
_r06 = _mm256_broadcast_ss(r0 + 50);
_r07 = _mm256_broadcast_ss(r0 + 58);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 66);
_r09 = _mm256_broadcast_ss(r0 + 74);
_r010 = _mm256_broadcast_ss(r0 + 82);
_r011 = _mm256_broadcast_ss(r0 + 90);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
//_k01 = _mm256_loadu_ps(k01 + 24);
_k01 = loadfp16(k01 + 24);
_r00 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_r02 = _mm256_broadcast_ss(r0 + 19);
_r03 = _mm256_broadcast_ss(r0 + 27);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 35);
_r05 = _mm256_broadcast_ss(r0 + 43);
_r06 = _mm256_broadcast_ss(r0 + 51);
_r07 = _mm256_broadcast_ss(r0 + 59);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 67);
_r09 = _mm256_broadcast_ss(r0 + 75);
_r010 = _mm256_broadcast_ss(r0 + 83);
_r011 = _mm256_broadcast_ss(r0 + 91);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
//_k01 = _mm256_loadu_ps(k01 + 32);
_k01 = loadfp16(k01 + 32);
_r00 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_r02 = _mm256_broadcast_ss(r0 + 20);
_r03 = _mm256_broadcast_ss(r0 + 28);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 36);
_r05 = _mm256_broadcast_ss(r0 + 44);
_r06 = _mm256_broadcast_ss(r0 + 52);
_r07 = _mm256_broadcast_ss(r0 + 60);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 68);
_r09 = _mm256_broadcast_ss(r0 + 76);
_r010 = _mm256_broadcast_ss(r0 + 84);
_r011 = _mm256_broadcast_ss(r0 + 92);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
//_k01 = _mm256_loadu_ps(k01 + 40);
_k01 = loadfp16(k01 + 40);
_r00 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_r02 = _mm256_broadcast_ss(r0 + 21);
_r03 = _mm256_broadcast_ss(r0 + 29);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 37);
_r05 = _mm256_broadcast_ss(r0 + 45);
_r06 = _mm256_broadcast_ss(r0 + 53);
_r07 = _mm256_broadcast_ss(r0 + 61);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 69);
_r09 = _mm256_broadcast_ss(r0 + 77);
_r010 = _mm256_broadcast_ss(r0 + 85);
_r011 = _mm256_broadcast_ss(r0 + 93);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
//_k01 = _mm256_loadu_ps(k01 + 48);
_k01 = loadfp16(k01 + 48);
_r00 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_r02 = _mm256_broadcast_ss(r0 + 22);
_r03 = _mm256_broadcast_ss(r0 + 30);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 38);
_r05 = _mm256_broadcast_ss(r0 + 46);
_r06 = _mm256_broadcast_ss(r0 + 54);
_r07 = _mm256_broadcast_ss(r0 + 62);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 70);
_r09 = _mm256_broadcast_ss(r0 + 78);
_r010 = _mm256_broadcast_ss(r0 + 86);
_r011 = _mm256_broadcast_ss(r0 + 94);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
//_k01 = _mm256_loadu_ps(k01 + 56);
_k01 = loadfp16(k01 + 56);
_r00 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_r02 = _mm256_broadcast_ss(r0 + 23);
_r03 = _mm256_broadcast_ss(r0 + 31);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 39);
_r05 = _mm256_broadcast_ss(r0 + 47);
_r06 = _mm256_broadcast_ss(r0 + 55);
_r07 = _mm256_broadcast_ss(r0 + 63);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 71);
_r09 = _mm256_broadcast_ss(r0 + 79);
_r010 = _mm256_broadcast_ss(r0 + 87);
_r011 = _mm256_broadcast_ss(r0 + 95);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
k01 += 64;
r0 += 96;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
_mm256_storeu_ps(output0_tm + 16, _sum2);
_mm256_storeu_ps(output0_tm + 24, _sum3);
_mm256_storeu_ps(output0_tm + 32, _sum4);
_mm256_storeu_ps(output0_tm + 40, _sum5);
_mm256_storeu_ps(output0_tm + 48, _sum6);
_mm256_storeu_ps(output0_tm + 56, _sum7);
_mm256_storeu_ps(output0_tm + 64, _sum8);
_mm256_storeu_ps(output0_tm + 72, _sum9);
_mm256_storeu_ps(output0_tm + 80, _sum10);
_mm256_storeu_ps(output0_tm + 88, _sum11);
output0_tm += 96;
}
for (; i + 7 < tiles; i += 8)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
//fp16
const unsigned short* k01 = (const unsigned short*)kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
__m256 _sum2 = _mm256_set1_ps(0.f);
__m256 _sum3 = _mm256_set1_ps(0.f);
__m256 _sum4 = _mm256_set1_ps(0.f);
__m256 _sum5 = _mm256_set1_ps(0.f);
__m256 _sum6 = _mm256_set1_ps(0.f);
__m256 _sum7 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
//__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _k01 = loadfp16(k01);
__m256 _r00 = _mm256_broadcast_ss(r0 + 0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
__m256 _r02 = _mm256_broadcast_ss(r0 + 16);
__m256 _r03 = _mm256_broadcast_ss(r0 + 24);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
__m256 _r04 = _mm256_broadcast_ss(r0 + 32);
__m256 _r05 = _mm256_broadcast_ss(r0 + 40);
__m256 _r06 = _mm256_broadcast_ss(r0 + 48);
__m256 _r07 = _mm256_broadcast_ss(r0 + 56);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
//_k01 = _mm256_loadu_ps(k01 + 8);
_k01 = loadfp16(k01 + 8);
_r00 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_r02 = _mm256_broadcast_ss(r0 + 17);
_r03 = _mm256_broadcast_ss(r0 + 25);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 33);
_r05 = _mm256_broadcast_ss(r0 + 41);
_r06 = _mm256_broadcast_ss(r0 + 49);
_r07 = _mm256_broadcast_ss(r0 + 57);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
//_k01 = _mm256_loadu_ps(k01 + 16);
_k01 = loadfp16(k01 + 16);
_r00 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_r02 = _mm256_broadcast_ss(r0 + 18);
_r03 = _mm256_broadcast_ss(r0 + 26);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 34);
_r05 = _mm256_broadcast_ss(r0 + 42);
_r06 = _mm256_broadcast_ss(r0 + 50);
_r07 = _mm256_broadcast_ss(r0 + 58);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
//_k01 = _mm256_loadu_ps(k01 + 24);
_k01 = loadfp16(k01 + 24);
_r00 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_r02 = _mm256_broadcast_ss(r0 + 19);
_r03 = _mm256_broadcast_ss(r0 + 27);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 35);
_r05 = _mm256_broadcast_ss(r0 + 43);
_r06 = _mm256_broadcast_ss(r0 + 51);
_r07 = _mm256_broadcast_ss(r0 + 59);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
//_k01 = _mm256_loadu_ps(k01 + 32);
_k01 = loadfp16(k01 + 32);
_r00 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_r02 = _mm256_broadcast_ss(r0 + 20);
_r03 = _mm256_broadcast_ss(r0 + 28);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 36);
_r05 = _mm256_broadcast_ss(r0 + 44);
_r06 = _mm256_broadcast_ss(r0 + 52);
_r07 = _mm256_broadcast_ss(r0 + 60);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
//_k01 = _mm256_loadu_ps(k01 + 40);
_k01 = loadfp16(k01 + 40);
_r00 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_r02 = _mm256_broadcast_ss(r0 + 21);
_r03 = _mm256_broadcast_ss(r0 + 29);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 37);
_r05 = _mm256_broadcast_ss(r0 + 45);
_r06 = _mm256_broadcast_ss(r0 + 53);
_r07 = _mm256_broadcast_ss(r0 + 61);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
//_k01 = _mm256_loadu_ps(k01 + 48);
_k01 = loadfp16(k01 + 48);
_r00 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_r02 = _mm256_broadcast_ss(r0 + 22);
_r03 = _mm256_broadcast_ss(r0 + 30);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 38);
_r05 = _mm256_broadcast_ss(r0 + 46);
_r06 = _mm256_broadcast_ss(r0 + 54);
_r07 = _mm256_broadcast_ss(r0 + 62);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
//_k01 = _mm256_loadu_ps(k01 + 56);
_k01 = loadfp16(k01 + 56);
_r00 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_r02 = _mm256_broadcast_ss(r0 + 23);
_r03 = _mm256_broadcast_ss(r0 + 31);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 39);
_r05 = _mm256_broadcast_ss(r0 + 47);
_r06 = _mm256_broadcast_ss(r0 + 55);
_r07 = _mm256_broadcast_ss(r0 + 63);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
k01 += 64;
r0 += 64;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
_mm256_storeu_ps(output0_tm + 16, _sum2);
_mm256_storeu_ps(output0_tm + 24, _sum3);
_mm256_storeu_ps(output0_tm + 32, _sum4);
_mm256_storeu_ps(output0_tm + 40, _sum5);
_mm256_storeu_ps(output0_tm + 48, _sum6);
_mm256_storeu_ps(output0_tm + 56, _sum7);
output0_tm += 64;
}
for (; i + 3 < tiles; i += 4)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
//fp16
const unsigned short* k01 = (const unsigned short*)kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
__m256 _sum2 = _mm256_set1_ps(0.f);
__m256 _sum3 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
//__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _k01 = loadfp16(k01);
__m256 _r00 = _mm256_broadcast_ss(r0 + 0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
__m256 _r02 = _mm256_broadcast_ss(r0 + 16);
__m256 _r03 = _mm256_broadcast_ss(r0 + 24);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
//_k01 = _mm256_loadu_ps(k01 + 8);
_k01 = loadfp16(k01 + 8);
_r00 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_r02 = _mm256_broadcast_ss(r0 + 17);
_r03 = _mm256_broadcast_ss(r0 + 25);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
//_k01 = _mm256_loadu_ps(k01 + 16);
_k01 = loadfp16(k01 + 16);
_r00 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_r02 = _mm256_broadcast_ss(r0 + 18);
_r03 = _mm256_broadcast_ss(r0 + 26);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
//_k01 = _mm256_loadu_ps(k01 + 24);
_k01 = loadfp16(k01 + 24);
_r00 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_r02 = _mm256_broadcast_ss(r0 + 19);
_r03 = _mm256_broadcast_ss(r0 + 27);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
//_k01 = _mm256_loadu_ps(k01 + 32);
_k01 = loadfp16(k01 + 32);
_r00 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_r02 = _mm256_broadcast_ss(r0 + 20);
_r03 = _mm256_broadcast_ss(r0 + 28);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
//_k01 = _mm256_loadu_ps(k01 + 40);
_k01 = loadfp16(k01 + 40);
_r00 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_r02 = _mm256_broadcast_ss(r0 + 21);
_r03 = _mm256_broadcast_ss(r0 + 29);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
//_k01 = _mm256_loadu_ps(k01 + 48);
_k01 = loadfp16(k01 + 48);
_r00 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_r02 = _mm256_broadcast_ss(r0 + 22);
_r03 = _mm256_broadcast_ss(r0 + 30);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
//_k01 = _mm256_loadu_ps(k01 + 56);
_k01 = loadfp16(k01 + 56);
_r00 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_r02 = _mm256_broadcast_ss(r0 + 23);
_r03 = _mm256_broadcast_ss(r0 + 31);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
k01 += 64;
r0 += 32;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
_mm256_storeu_ps(output0_tm + 16, _sum2);
_mm256_storeu_ps(output0_tm + 24, _sum3);
output0_tm += 32;
}
for (; i + 1 < tiles; i += 2)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
//fp16
const unsigned short* k01 = (const unsigned short*)kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
//__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _k01 = loadfp16(k01);
__m256 _r0 = _mm256_broadcast_ss(r0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
//_k01 = _mm256_loadu_ps(k01 + 8);
_k01 = loadfp16(k01 + 8);
_r0 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
//_k01 = _mm256_loadu_ps(k01 + 16);
_k01 = loadfp16(k01 + 16);
_r0 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
//_k01 = _mm256_loadu_ps(k01 + 24);
_k01 = loadfp16(k01 + 24);
_r0 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
//_k01 = _mm256_loadu_ps(k01 + 32);
_k01 = loadfp16(k01 + 32);
_r0 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
//_k01 = _mm256_loadu_ps(k01 + 40);
_k01 = loadfp16(k01 + 40);
_r0 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
//_k01 = _mm256_loadu_ps(k01 + 48);
_k01 = loadfp16(k01 + 48);
_r0 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
//_k01 = _mm256_loadu_ps(k01 + 56);
_k01 = loadfp16(k01 + 56);
_r0 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
k01 += 64;
r0 += 16;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
output0_tm += 16;
}
for (; i < tiles; i++)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
//fp16
const unsigned short* k01 = (const unsigned short*)kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
//__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _k01 = loadfp16(k01);
__m256 _r0 = _mm256_broadcast_ss(r0);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
//_k01 = _mm256_loadu_ps(k01 + 8);
_k01 = loadfp16(k01 + 8);
_r0 = _mm256_broadcast_ss(r0 + 1);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
//_k01 = _mm256_loadu_ps(k01 + 16);
_k01 = loadfp16(k01 + 16);
_r0 = _mm256_broadcast_ss(r0 + 2);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
//_k01 = _mm256_loadu_ps(k01 + 24);
_k01 = loadfp16(k01 + 24);
_r0 = _mm256_broadcast_ss(r0 + 3);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
//
//_k01 = _mm256_loadu_ps(k01 + 32);
_k01 = loadfp16(k01 + 32);
_r0 = _mm256_broadcast_ss(r0 + 4);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
//_k01 = _mm256_loadu_ps(k01 + 40);
_k01 = loadfp16(k01 + 40);
_r0 = _mm256_broadcast_ss(r0 + 5);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
//_k01 = _mm256_loadu_ps(k01 + 48);
_k01 = loadfp16(k01 + 48);
_r0 = _mm256_broadcast_ss(r0 + 6);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
//_k01 = _mm256_loadu_ps(k01 + 56);
_k01 = loadfp16(k01 + 56);
_r0 = _mm256_broadcast_ss(r0 + 7);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
k01 += 64;
r0 += 8;
}
_mm256_storeu_ps(output0_tm, _sum0);
output0_tm += 8;
}
}
}
}
bottom_blob_tm = Mat();
// END dot
// BEGIN transform output
Mat top_blob_bordered;
if (outw == top_blob.w && outh == top_blob.h)
{
top_blob_bordered = top_blob;
}
else
{
top_blob_bordered.create(outw, outh, outch, elemsize, elempack, opt.workspace_allocator);
}
{
// const float otm[6][8] = {
// {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 32.0f, 32.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 2.0f, -2.0f, 16.0f,-16.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 4.0f, 4.0f, 8.0f, 8.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 8.0f, -8.0f, 4.0f, -4.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 16.0f, 16.0f, 2.0f, 2.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 32.0f, -32.0f, 1.0f, -1.0f, 1.0f}
// };
// 0 = r0 + (r1 + r2) + (r3 + r4) + (r5 + r6) * 32
// 1 = (r1 - r2) + (r3 - r4) * 2 + (r5 - r6) * 16
// 2 = (r1 + r2) + (r3 + r4) * 4 + (r5 + r6) * 8
// 3 = (r1 - r2) + (r3 - r4) * 8 + (r5 - r6) * 4
// 4 = (r1 + r2) + (r3 + r4) * 16+ (r5 + r6) * 2
// 5 = r7 + (r1 - r2) + (r3 - r4) * 32+ (r5 - r6)
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = w_tm / 8 * h_tm / 8;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
const Mat out0_tm = top_blob_tm.channel(p);
Mat out0 = top_blob_bordered.channel(p);
// const float bias0 = bias ? bias[p] : 0.f;
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + p * 8) : _mm256_set1_ps(0.f);
float tmp[6][8][8];
// tile
for (int i = 0; i < outh / 6; i++)
{
for (int j = 0; j < outw / 6; j++)
{
// top_blob_tm.create(tiles, 64, outch, elemsize, elempack);
const float* output0_tm_0 = (const float*)out0_tm + (i * w_tm / 8 + j) * 8;
const float* output0_tm_1 = output0_tm_0 + tiles * 8;
const float* output0_tm_2 = output0_tm_0 + tiles * 16;
const float* output0_tm_3 = output0_tm_0 + tiles * 24;
const float* output0_tm_4 = output0_tm_0 + tiles * 32;
const float* output0_tm_5 = output0_tm_0 + tiles * 40;
const float* output0_tm_6 = output0_tm_0 + tiles * 48;
const float* output0_tm_7 = output0_tm_0 + tiles * 56;
float* output0 = out0.row(i * 6) + (j * 6) * 8;
// TODO neon optimize
for (int m = 0; m < 8; m++)
{
__m256 _out0tm0 = _mm256_loadu_ps(output0_tm_0);
__m256 _out0tm1 = _mm256_loadu_ps(output0_tm_1);
__m256 _out0tm2 = _mm256_loadu_ps(output0_tm_2);
__m256 _out0tm3 = _mm256_loadu_ps(output0_tm_3);
__m256 _out0tm4 = _mm256_loadu_ps(output0_tm_4);
__m256 _out0tm5 = _mm256_loadu_ps(output0_tm_5);
__m256 _out0tm6 = _mm256_loadu_ps(output0_tm_6);
__m256 _out0tm7 = _mm256_loadu_ps(output0_tm_7);
__m256 _tmp024a = _mm256_add_ps(_out0tm1, _out0tm2);
__m256 _tmp135a = _mm256_sub_ps(_out0tm1, _out0tm2);
// float tmp024a = output0_tm[1] + output0_tm[2];
// float tmp135a = output0_tm[1] - output0_tm[2];
__m256 _tmp024b = _mm256_add_ps(_out0tm3, _out0tm4);
__m256 _tmp135b = _mm256_sub_ps(_out0tm3, _out0tm4);
// float tmp024b = output0_tm[3] + output0_tm[4];
// float tmp135b = output0_tm[3] - output0_tm[4];
__m256 _tmp024c = _mm256_add_ps(_out0tm5, _out0tm6);
__m256 _tmp135c = _mm256_sub_ps(_out0tm5, _out0tm6);
// float tmp024c = output0_tm[5] + output0_tm[6];
// float tmp135c = output0_tm[5] - output0_tm[6];
__m256 _tmp0m = _mm256_add_ps(_mm256_add_ps(_out0tm0, _tmp024a), _mm256_fmadd_1_ps(_tmp024b, _tmp024c, 32.f));
__m256 _tmp2m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 4.f), _tmp024c, 8.f);
__m256 _tmp4m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 16.f), _tmp024c, 2.f);
_mm256_storeu_ps(tmp[0][m], _tmp0m);
_mm256_storeu_ps(tmp[2][m], _tmp2m);
_mm256_storeu_ps(tmp[4][m], _tmp4m);
// tmp[0][m] = output0_tm[0] + tmp024a + tmp024b + tmp024c * 32;
// tmp[2][m] = tmp024a + tmp024b * 4 + tmp024c * 8;
// tmp[4][m] = tmp024a + tmp024b * 16 + tmp024c + tmp024c;
__m256 _tmp1m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 2.f), _tmp135c, 16.f);
__m256 _tmp3m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 8.f), _tmp135c, 4.f);
__m256 _tmp5m = _mm256_add_ps(_mm256_add_ps(_out0tm7, _tmp135a), _mm256_fmadd_1_ps(_tmp135c, _tmp135b, 32.f));
_mm256_storeu_ps(tmp[1][m], _tmp1m);
_mm256_storeu_ps(tmp[3][m], _tmp3m);
_mm256_storeu_ps(tmp[5][m], _tmp5m);
// tmp[1][m] = tmp135a + tmp135b + tmp135b + tmp135c * 16;
// tmp[3][m] = tmp135a + tmp135b * 8 + tmp135c * 4;
// tmp[5][m] = output0_tm[7] + tmp135a + tmp135b * 32 + tmp135c;
output0_tm_0 += tiles * 64;
output0_tm_1 += tiles * 64;
output0_tm_2 += tiles * 64;
output0_tm_3 += tiles * 64;
output0_tm_4 += tiles * 64;
output0_tm_5 += tiles * 64;
output0_tm_6 += tiles * 64;
output0_tm_7 += tiles * 64;
}
for (int m = 0; m < 6; m++)
{
__m256 _tmp00 = _mm256_loadu_ps(tmp[m][0]);
__m256 _tmp01 = _mm256_loadu_ps(tmp[m][1]);
__m256 _tmp02 = _mm256_loadu_ps(tmp[m][2]);
__m256 _tmp03 = _mm256_loadu_ps(tmp[m][3]);
__m256 _tmp04 = _mm256_loadu_ps(tmp[m][4]);
__m256 _tmp05 = _mm256_loadu_ps(tmp[m][5]);
__m256 _tmp06 = _mm256_loadu_ps(tmp[m][6]);
__m256 _tmp07 = _mm256_loadu_ps(tmp[m][7]);
__m256 _tmp024a = _mm256_add_ps(_tmp01, _tmp02);
__m256 _tmp135a = _mm256_sub_ps(_tmp01, _tmp02);
// float tmp024a = tmp0[1] + tmp0[2];
// float tmp135a = tmp0[1] - tmp0[2];
__m256 _tmp024b = _mm256_add_ps(_tmp03, _tmp04);
__m256 _tmp135b = _mm256_sub_ps(_tmp03, _tmp04);
// float tmp024b = tmp0[3] + tmp0[4];
// float tmp135b = tmp0[3] - tmp0[4];
__m256 _tmp024c = _mm256_add_ps(_tmp05, _tmp06);
__m256 _tmp135c = _mm256_sub_ps(_tmp05, _tmp06);
// float tmp024c = tmp0[5] + tmp0[6];
// float tmp135c = tmp0[5] - tmp0[6];
__m256 _out00 = _mm256_add_ps(_bias0, _mm256_add_ps(_mm256_add_ps(_tmp00, _tmp024a), _mm256_fmadd_1_ps(_tmp024b, _tmp024c, 32.f)));
__m256 _out02 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 4.f), _tmp024c, 8.f));
__m256 _out04 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 16.f), _tmp024c, 2.f));
_mm256_storeu_ps(output0, _out00);
_mm256_storeu_ps(output0 + 16, _out02);
_mm256_storeu_ps(output0 + 32, _out04);
// output0[0] = bias0 + tmp0[0] + tmp024a + tmp024b + tmp024c * 32;
// output0[2] = bias0 + tmp024a + tmp024b * 4 + tmp024c * 8;
// output0[4] = bias0 + tmp024a + tmp024b * 16 + tmp024c + tmp024c;
__m256 _out01 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 2.f), _tmp135c, 16.f));
__m256 _out03 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 8.f), _tmp135c, 4.f));
__m256 _out05 = _mm256_add_ps(_bias0, _mm256_add_ps(_mm256_add_ps(_tmp07, _tmp135a), _mm256_fmadd_1_ps(_tmp135c, _tmp135b, 32.f)));
_mm256_storeu_ps(output0 + 8, _out01);
_mm256_storeu_ps(output0 + 24, _out03);
_mm256_storeu_ps(output0 + 40, _out05);
// output0[1] = bias0 + tmp135a + tmp135b + tmp135b + tmp135c * 16;
// output0[3] = bias0 + tmp135a + tmp135b * 8 + tmp135c * 4;
// output0[5] = bias0 + tmp0[7] + tmp135a + tmp135b * 32 + tmp135c;
output0 += outw * 8;
}
}
}
}
}
// END transform output
// cut result pad
copy_cut_border(top_blob_bordered, top_blob, 0, top_blob_bordered.h - top_blob.h, 0, top_blob_bordered.w - top_blob.w, opt);
}
|
regression_classifier.h | /*
Copyright (c) 2016, TU Dresden
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the TU Dresden 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 TU DRESDEN BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include "regression_tree.h"
#include "combined_feature.h"
namespace jp
{
/**
* @brief Class for duing predictions using a regression forest.
*/
template <typename TFeature>
class RegressionForestClassifier
{
public:
/**
* @brief Constructor.
*
* @param forest Regression forest to do predictions with.
*/
RegressionForestClassifier(std::vector<RegressionTree<TFeature>>& forest) : forest(forest) {}
/**
* @brief Feeds an image through each tree patch by patch and stores the leaf index.
*
* @param data The input image (container of all channels the forest features work on).
* @param leafImgs Output parameter. One leaf image per tree in the forest. Each pixel stores the leaf index where the corresponding patch arrived at.
* @param depth Optional. Used for scaling features if not NULL.
*
* @return void
*/
void classify(const jp::img_data_t& data, std::vector<img_leaf_t>& leafImgs, const jp::img_depth_t* depth)
{
if(leafImgs.size() != forest.size())
leafImgs.resize(forest.size());
for(unsigned t = 0; t < forest.size(); t++)
forest[t].structure.getLeafImg(data, leafImgs[t], depth);
}
/**
* @brief Reads out the probability for a specific object at a specific pixel of a single tree in the forest.
*
* @param forest Regression forest that made the prediction.
* @param leafImgs Prediction of the forest. One leaf image per tree in the forest. Each pixel stores the leaf index where the corresponding patch arrived at.
* @param treeIdx Index of the tree the probability should be looked up in.
* @param objID The ID of the object of which the probability should be looked up.
* @param x X pixel position for with the probability should be looked up.
* @param y Y pixel position for with the probability should be looked up.
* @return float Object probability.
*/
inline float getProbability(
const std::vector<jp::RegressionTree<jp::feature_t>>& forest,
const std::vector<jp::img_leaf_t>& leafImgs,
unsigned treeIdx,
jp::id_t objID,
unsigned x,
unsigned y) const
{
size_t leaf = leafImgs[treeIdx](y, x); // which tree leaf corresponds to the query pixel?
return forest[treeIdx].getObjPixels(leaf, objID) / (forest[treeIdx].getLeafPixels(leaf) + 1.f); // calculate probability from sample frequencies, +1 in the denominator for a robust estimate
}
/**
* @brief Calculates probability maps for all objects given an forest prediction.
*
* Probabilities are calculated by multiplying the sample frequencies of individual
* trees and normalizing. This gives more contrasted predictions than the usual
* averaging of sample frequencies.
*
* @param forest Random forest that did the prediction.
* @param leafImgs Prediction of the forest. One leaf image per tree in the forest. Each pixel stores the leaf index where the corresponding patch arrived at.
* @param probs Output parameter. One image per object. Each pixel stores the probabilitiy to belong to that object (soft segmentation).
* @return void
*/
void getObjsProb(
const std::vector<jp::RegressionTree<jp::feature_t>>& forest,
const std::vector<jp::img_leaf_t>& leafImgs,
std::vector<jp::img_stat_t>& probs) const
{
int objectCount = GlobalProperties::getInstance()->fP.objectCount;
//init probability images
for(jp::id_t objID = 1; objID <= objectCount; objID++)
probs[objID - 1] = jp::img_stat_t::ones(leafImgs[0].rows, leafImgs[0].cols);
jp::img_stat_t sumProbs = jp::img_stat_t::ones(leafImgs[0].rows, leafImgs[0].cols);
#pragma omp parallel for
for(unsigned x = 0; x < leafImgs[0].cols; x++)
for(unsigned y = 0; y < leafImgs[0].rows; y++)
{
bool allZero = true; //if all leaf indices are zero its most likely (sic!) that this pixel is undefined
// accumulate probs for background
for(unsigned treeIdx = 0; treeIdx < forest.size(); treeIdx++)
sumProbs(y, x) *= getProbability(forest, leafImgs, treeIdx, objectCount + 1, x, y);
// accumulate probs for objects
for(jp::id_t objID = 1; objID <= objectCount; objID++)
{
for(unsigned treeIdx = 0; treeIdx < forest.size(); treeIdx++)
{
allZero = allZero && (leafImgs[treeIdx](y, x) == 0);
probs[objID - 1](y, x) *= getProbability(forest, leafImgs, treeIdx, objID, x, y);
}
sumProbs(y, x) += probs[objID - 1](y, x);
}
//early out if undefined pixes
if(allZero)
{
for(jp::id_t objID = 1; objID <= objectCount; objID++)
probs[objID - 1](y, x) = 0.f;
}
else
{
for(jp::id_t objID = 1; objID <= objectCount; objID++)
if(sumProbs(y, x) > 0) probs[objID - 1](y, x) /= sumProbs(y, x);
}
}
}
private:
std::vector<RegressionTree<TFeature>>& forest; // Random forest to do classifications with.
};
} |
GB_unop__log2_fc64_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef 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__log2_fc64_fc64)
// op(A') function: GB (_unop_tran__log2_fc64_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = aij
// unaryop: cij = GB_clog2 (aij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_clog2 (x) ;
// casting
#define GB_CAST(z, aij) \
GxB_FC64_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC64_t z = aij ; \
Cx [pC] = GB_clog2 (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LOG2 || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__log2_fc64_fc64)
(
GxB_FC64_t *Cx, // Cx and Ax may be aliased
const GxB_FC64_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = GB_clog2 (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = GB_clog2 (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__log2_fc64_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
convolution_1x1_packn.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 conv1x1s1_sgemm_packn_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
const int size = w * h;
Mat bottom_im2col = bottom_blob;
bottom_im2col.w = size;
bottom_im2col.h = 1;
im2col_sgemm_packn_rvv(bottom_im2col, top_blob, kernel, _bias, opt);
}
static void conv1x1s2_sgemm_packn_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
const int packn = csrr_vlenb() / 4;
const word_type vl = vsetvl_e32m1(packn);
int w = bottom_blob.w;
int channels = bottom_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
const int tailstep = (w - 2 * outw + w) * packn;
Mat bottom_blob_shrinked;
bottom_blob_shrinked.create(outw, outh, channels, elemsize, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < channels; p++)
{
const float* r0 = bottom_blob.channel(p);
float* outptr = bottom_blob_shrinked.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
vfloat32m1_t _val = vle32_v_f32m1(r0, vl);
vse32_v_f32m1(outptr, _val, vl);
r0 += packn * 2;
outptr += packn;
}
r0 += tailstep;
}
}
conv1x1s1_sgemm_packn_rvv(bottom_blob_shrinked, top_blob, kernel, _bias, opt);
}
|
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] = 32;
tile_size[1] = 32;
tile_size[2] = 16;
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-2,16);t1++) {
lbp=max(ceild(t1,2),ceild(32*t1-Nt+3,32));
ubp=min(floord(Nt+Nz-4,32),floord(16*t1+Nz+13,32));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(32*t2-Nz-12,16)),t1);t3<=min(min(min(floord(Nt+Ny-4,16),floord(16*t1+Ny+29,16)),floord(32*t2+Ny+28,16)),floord(32*t1-32*t2+Nz+Ny+27,16));t3++) {
for (t4=max(max(max(0,ceild(t1-63,64)),ceild(32*t2-Nz-1020,1024)),ceild(16*t3-Ny-1020,1024));t4<=min(min(min(min(floord(Nt+Nx-4,1024),floord(16*t1+Nx+29,1024)),floord(32*t2+Nx+28,1024)),floord(16*t3+Nx+12,1024)),floord(32*t1-32*t2+Nz+Nx+27,1024));t4++) {
for (t5=max(max(max(max(max(0,16*t1),32*t1-32*t2+1),32*t2-Nz+2),16*t3-Ny+2),1024*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,16*t1+31),32*t2+30),16*t3+14),1024*t4+1022),32*t1-32*t2+Nz+29);t5++) {
for (t6=max(max(32*t2,t5+1),-32*t1+32*t2+2*t5-31);t6<=min(min(32*t2+31,-32*t1+32*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(16*t3,t5+1);t7<=min(16*t3+15,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;
}
|
morn_wave.c | /*
Copyright (C) 2019-2020 JingWeiZhangHuai <jingweizhanghuai@163.com>
Licensed under the Apache License, Version 2.0; you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
*/
#include "morn_wave.h"
struct HandleWaveCreate
{
MWave *wave;
MChain *property;
int channel;
int size;
float *index[MORN_MAX_WAVE_CN];
MMemory *memory;
};
void endWaveCreate(struct HandleWaveCreate *handle)
{
mException((handle->wave == NULL),EXIT,"invalid wave");
if(handle->property!=NULL) mChainRelease(handle->property);
if(handle->memory != NULL) mMemoryRelease(handle->memory);
memset(handle->wave,0,sizeof(MWave));
// mFree(((MList **)(handle->wave))-1);
}
#define HASH_WaveCreate 0xa08b9c64
MWave *mWaveCreate(int cn,int size,float **data)
{
MWave *wave = (MWave *)ObjectAlloc(sizeof(MWave));
MHandle *hdl = mHandle(wave,WaveCreate);
struct HandleWaveCreate *handle = (struct HandleWaveCreate *)(hdl->handle);
handle->wave = wave;
if(size <0) size = 0;
if(cn <0) cn = 0;
mException((cn>MORN_MAX_WAVE_CN),EXIT,"invalid input");
wave->size = size;
wave->channel = cn;
if((size == 0)||(cn==0))
{
mException((!INVALID_POINTER(data)),EXIT,"invalid input");
memset(wave->data,0,MORN_MAX_WAVE_CN*sizeof(float *));
}
else if(INVALID_POINTER(data))
{
size = size +32;
void **index[MORN_MAX_WAVE_CN];for(int i=0;i<cn;i++) index[i]=(void **)(&(handle->index[i]));
if(handle->memory == NULL) handle->memory = mMemoryCreate(cn,size*sizeof(float),MORN_HOST);
mMemoryIndex(handle->memory,1,size*sizeof(float),index,cn);
handle->size = size;
handle->channel = cn;
for(int k=0;k<cn;k++)
wave->data[k] = handle->index[k]+16;
}
else
memcpy(wave->data,data,sizeof(float *)*cn);
return wave;
}
void mWaveRelease(MWave *wave)
{
ObjectFree(wave);
}
void mWaveRedefine(MWave *src,int cn,int size,float **data)
{
mException((INVALID_POINTER(src)),EXIT,"invalid input");
if(size <= 0) size = src->size;
if(cn <= 0) cn = src->channel;
if((cn!=src->channel)||(size!=src->size)) mHandleReset(src);
int same_size = ((size <= src->size)&&(cn <= src->channel));
int reuse = (data==src->data);
int flag = (src->size)&&(src->channel);
src->size = size;
src->channel = cn;
if(same_size&&reuse) return;
struct HandleWaveCreate *handle = (struct HandleWaveCreate *)(ObjHandle(src,0)->handle);
if(same_size&&(data==NULL)&&(handle->size >0)) return;
mException(reuse&&flag&&(handle->size==0),EXIT,"invalid redefine");
mException((cn>MORN_MAX_WAVE_CN),EXIT,"invalid input");
handle->size = 0;
if((cn<=0)||(size<=0))
{
mException((data!=NULL)&&(!reuse),EXIT,"invalid input");
memset(src->data,0,MORN_MAX_WAVE_CN*sizeof(float *));
return;
}
if(reuse) data=NULL;
if(data!=NULL) {memcpy(src->data,data,cn*sizeof(float *));return;}
if((size > handle->size)||(cn > handle->channel))
{
size = size +32;
void **index[MORN_MAX_WAVE_CN];for(int i=0;i<cn;i++) index[i]=(void **)(&(handle->index[i]));
if(handle->memory == NULL) handle->memory = mMemoryCreate(cn,size*sizeof(float),MORN_HOST);
else mMemoryRedefine(handle->memory,cn,size*sizeof(float),MORN_HOST);
mMemoryIndex(handle->memory,1,size*sizeof(float),index,cn);
handle->size = size;
handle->channel = cn;
}
for(int k=0;k<cn;k++)
src->data[k] = handle->index[k]+16;
}
void mWaveCut(MWave *src,MWave *dst,int locate,int size)
{
int cn;
mException(INVALID_WAVE(src),EXIT,"invalid input");
if(locate < 0)
locate = 0;
if(size < 0)
{
if(!INVALID_WAVE(dst))
size = dst->size;
else
size = src->size -locate;
}
if(INVALID_POINTER(dst))
dst = src;
mException((locate+size>src->size),EXIT,"invalid input");
if((locate == 0)&&(size == src->size)&&(dst==src))
return;
if(dst != src)
{
mWaveRedefine(dst,src->channel,size,dst->data);
// dst->info = src->info;
}
for(cn=0;cn<src->channel;cn++)
memcpy(dst->data[cn],src->data[cn]+locate,size*sizeof(float));
}
void mWavMean(MWave *src,float *mean)
{
int wav_size;
int i,j;
float sum;
mException((INVALID_WAVE(src))||(INVALID_POINTER(mean)),EXIT,"invalid input");
sum = 0.0;
wav_size = src->size;
for(j=0;j<src->channel;j++)
{
for(i=0;i<wav_size;i++)
sum = sum + src->data[j][i];
mean[j] = sum/((float)wav_size);
}
}
void mWavABSMean(MWave *src,float *mean)
{
int wav_size;
int i,j;
float sum;
float **data;
mException((INVALID_WAVE(src))||(INVALID_POINTER(mean)),EXIT,"invalid input");
data = src->data;
sum = 0.0;
wav_size = src->size;
for(j=0;j<src->channel;j++)
{
for(i=0;i<wav_size;i++)
sum = (data[j][i]>0)?(sum+data[j][i]):(sum-data[j][i]);
mean[j] = sum/((float)wav_size);
}
}
void mWavSquarMean(MWave *src,float *mean)
{
int wav_size;
int i,j;
float sum;
float **data;
mException((INVALID_WAVE(src))||(INVALID_POINTER(mean)),EXIT,"invalid input");
sum = 0.0;
data = src->data;
wav_size = src->size;
for(j=0;j<src->channel;j++)
{
for(i=0;i<wav_size;i++)
sum = sum + data[j][i]*data[j][i];
mean[j] = sum/((float)wav_size);
}
}
void mWaveAdd(MWave *src1,MWave *src2,MWave *dst)
{
int wav_size;
int cn,i;
mException((INVALID_WAVE(src1))||(INVALID_WAVE(src2)),EXIT,"invalid input");
wav_size = (src1->size<src2->size)?src1->size:src2->size;
mException((src2->channel != src1->channel)&&(src2->channel!=1),EXIT,"invalid input");
if(INVALID_POINTER(dst))
dst = src1;
// dst->info = src1->info;
float normalize=MORN_NOT_NORMALIZED;mPropertyWrite(dst,"normalize",&normalize,sizeof(float));
mWaveRedefine(dst,src1->channel,wav_size,dst->data);
if(src2->channel == 0)
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src1->data[cn][i] + src2->data[cn][0];
}
else
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src1->data[cn][i] + src2->data[cn][i];
}
}
void mWaveSub(MWave *src1,MWave *src2,MWave *dst)
{
int wav_size;
int cn,i;
mException((INVALID_WAVE(src1))||(INVALID_WAVE(src2)),EXIT,"invalid input");
wav_size = (src1->size<src2->size)?src1->size:src2->size;
mException((src2->channel != src1->channel)&&(src2->channel !=1),EXIT,"invalid input");
if(INVALID_POINTER(dst))
dst = src1;
// dst->info = src1->info;
float normalize=MORN_NOT_NORMALIZED;mPropertyWrite(dst,"normalize",&normalize,sizeof(float));
mWaveRedefine(dst,src1->channel,wav_size,dst->data);
if(src2->channel == 1)
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src1->data[cn][i] - src2->data[cn][0];
}
else
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src1->data[cn][i] - src2->data[cn][i];
}
}
void mWaveAverage(MWave *src1,MWave *src2,MWave *dst)
{
int wav_size;
int cn,i;
mException((INVALID_WAVE(src1))||(INVALID_WAVE(src2)),EXIT,"invalid input");
wav_size = (src1->size<src2->size)?src1->size:src2->size;
mException((src2->channel != src1->channel)&&(src2->channel != 1),EXIT,"invalid input");
if(INVALID_POINTER(dst))
dst = src1;
// dst->info = src1->info;
float normalize=MORN_NOT_NORMALIZED;mPropertyWrite(dst,"normalize",&normalize,sizeof(float));
mWaveRedefine(dst,src1->channel,wav_size,dst->data);
if(src2->channel == 1)
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = (src1->data[cn][i] + src2->data[cn][0])/2.0f;
}
else
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = (src1->data[cn][i] + src2->data[cn][i])/2.0f;
}
}
void mWaveWeightedAverage(MWave *src1,MWave *src2,MWave *dst,float weight1,float weight2)
{
int wav_size;
int cn,i;
mException((INVALID_WAVE(src1))||(INVALID_WAVE(src2)),EXIT,"invalid input");
wav_size = (src1->size<src2->size)?src1->size:src2->size;
mException((src2->channel != src1->channel)&&(src2->channel !=1),EXIT,"invalid input");
if((weight1 == MORN_DEFAULT)&&(weight2 == MORN_DEFAULT))
{
mWaveAverage(src1,src2,dst);
return;
}
else if((weight1 == MORN_DEFAULT)&&(weight2 < 1.0f)&&(weight2 > 0.0f))
weight1 = 1.0f - weight2;
else if((weight2 == MORN_DEFAULT)&&(weight1 < 1.0f)&&(weight1 > 0.0f))
weight2 = 1.0f - weight1;
else if((weight1 == MORN_DEFAULT)||(weight2 == MORN_DEFAULT))
mException(1,EXIT,"invalid input");
if(INVALID_POINTER(dst))
dst = src1;
// dst->info = src1->info;
float normalize=MORN_NOT_NORMALIZED;mPropertyWrite(dst,"normalize",&normalize,sizeof(float));
mWaveRedefine(dst,src1->channel,wav_size,dst->data);
if(src2->channel == 1)
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = (src1->data[cn][i]*weight1 + src2->data[cn][0]*weight2)/(weight1+weight2);
}
else
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = (src1->data[cn][i]*weight1 + src2->data[cn][i]*weight2)/(weight1+weight2);
}
}
void mWaveScale(MWave *src,MWave *dst,float k)
{
int wav_size;
int cn,i;
mException((INVALID_WAVE(src)),EXIT,"invalid input");
wav_size = src->size;
if(INVALID_POINTER(dst))
dst = src;
// dst->info = src->info;
float normalize=MORN_NOT_NORMALIZED;mPropertyWrite(dst,"normalize",&normalize,sizeof(float));
mWaveRedefine(dst,src->channel,wav_size,dst->data);
for(cn = 0;cn<src->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src->data[cn][i]*k;
}
void mWaveMul(MWave *src1,MWave *src2,MWave *dst)
{
int wav_size;
int cn,i;
mException((INVALID_WAVE(src1))||(INVALID_WAVE(src2)),EXIT,"invalid input");
wav_size = (src1->size<src2->size)?src1->size:src2->size;
mException((src2->channel != src1->channel)&&(src2->channel !=1),EXIT,"invalid input");
if(INVALID_POINTER(dst))
dst = src1;
// dst->info = src1->info;
float normalize=MORN_NOT_NORMALIZED;mPropertyWrite(dst,"normalize",&normalize,sizeof(float));
mWaveRedefine(dst,src1->channel,wav_size,dst->data);
if(src2->channel == 1)
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src1->data[cn][i] * src2->data[0][i];
}
else
{
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src1->data[cn][i] * src2->data[cn][i];
}
}
void mWaveDiv(MWave *src1,MWave *src2,MWave *dst)
{
int wav_size;
int cn,i;
mException((INVALID_WAVE(src1))||(INVALID_WAVE(src2)),EXIT,"invalid input");
wav_size = (src1->size<src2->size)?src1->size:src2->size;
mException((src2->channel != src1->channel)&&(src2->channel !=1),EXIT,"invalid input");
if(INVALID_POINTER(dst))
dst = src1;
// dst->info = src1->info;
float normalize=MORN_NOT_NORMALIZED;mPropertyWrite(dst,"normalize",&normalize,sizeof(float));
mWaveRedefine(dst,src1->channel,wav_size,dst->data);
for(cn = 0;cn<src1->channel;cn++)
for(i=0;i<wav_size;i++)
dst->data[cn][i] = src1->data[cn][i] / src2->data[cn][i];
}
void mWaveOperate(MWave *src,MWave *dst,float (*func)(float,void *),void *para)
{
int i;
mException((INVALID_WAVE(src)),EXIT,"invalid input");
if(INVALID_POINTER(dst)) dst = src;
else mWaveRedefine(dst,src->channel,src->size,dst->data);
for(int cn=0;cn<src->channel;cn++)
{
#pragma omp parallel for
for(i=0;i<src->size;i++)
dst->data[cn][i] = func(src->data[cn][i],para);
}
}
|
nco_s1d.c | /* $Header$ */
/* Purpose: NCO utilities for Sparse-1D (S1D) datasets */
/* Copyright (C) 2020--present Charlie Zender
This file is part of NCO, the netCDF Operators. NCO is free software.
You may redistribute and/or modify NCO under the terms of the
3-Clause BSD License with exceptions described in the LICENSE file */
#include "nco_s1d.h" /* Sparse-1D datasets */
const char * /* O [sng] String describing sparse-type */
nco_s1d_sng /* [fnc] Convert sparse-1D type enum to string */
(const nco_s1d_typ_enm nco_s1d_typ) /* I [enm] Sparse-1D type enum */
{
/* Purpose: Convert sparse-type enum to string */
switch(nco_s1d_typ){
case nco_s1d_clm: return "Sparse Column (cols1d) format";
case nco_s1d_grd: return "Sparse Gridcell (grid1d) format";
case nco_s1d_lnd: return "Sparse Landunit (land1d) format";
case nco_s1d_pft: return "Sparse PFT (pfts1d) format" ;
default: nco_dfl_case_generic_err(); break;
} /* !nco_s1d_typ_enm */
/* Some compilers: e.g., SGI cc, need return statement to end non-void functions */
return (char *)NULL;
} /* !nco_s1d_sng() */
int /* O [rcd] Return code */
nco_s1d_unpack /* [fnc] Unpack sparse-1D CLM/ELM variables into full file */
(rgr_sct * const rgr, /* I/O [sct] Regridding structure */
trv_tbl_sct * const trv_tbl) /* I/O [sct] Traversal Table */
{
/* Purpose: Read sparse CLM/ELM input file, inflate and write into output file */
/* Usage:
ncks -D 1 -O -C --s1d ~/data/bm/elm_mali_bg_hst.nc ~/foo.nc
ncks -D 1 -O -C --s1d -v cols1d_topoglc --hrz=${DATA}/bm/elm_mali_ig_hst.nc ${DATA}/bm/elm_mali_rst.nc ~/foo.nc
ncks -D 1 -O -C --s1d -v GPP,pfts1d_wtgcell ~/beth_in.nc ~/foo.nc
ncremap --dbg=1 --vrb=3 --devnull=No --nco='--dbg=1' -P elm -m ${DATA}/maps/map_ne30np4_to_fv128x256_aave.20160301.nc ~/foo.nc ~/foo_rgr.nc */
const char fnc_nm[]="nco_s1d_unpack()"; /* [sng] Function name */
char *fl_in;
char *fl_out;
char *fl_tpl; /* [sng] Template file (contains horizontal grid) */
char dmn_nm[NC_MAX_NAME]; /* [sng] Dimension name */
char *grd_nm_in=(char *)strdup("gridcell");
char *lnd_nm_in=(char *)strdup("landunit");
char *clm_nm_in=(char *)strdup("column");
char *pft_nm_in=(char *)strdup("pft");
char *mec_nm_out=(char *)strdup("mec");
int dfl_lvl=NCO_DFL_LVL_UNDEFINED; /* [enm] Deflate level */
int fl_out_fmt=NCO_FORMAT_UNDEFINED; /* [enm] Output file format */
int fll_md_old; /* [enm] Old fill mode */
int in_id; /* I [id] Input netCDF file ID */
int md_open; /* [enm] Mode flag for nc_open() call */
int out_id; /* I [id] Output netCDF file ID */
int rcd=NC_NOERR;
int tpl_id; /* [id] Input netCDF file ID (for horizontal grid template) */
long int clm_idx;
long int grd_idx_out;
long int idx_out;
//long int lat_idx;
//long int lon_idx;
long int pft_idx;
int dmn_idx; /* [idx] Dimension index */
/* Initialize local copies of command-line values */
dfl_lvl=rgr->dfl_lvl;
fl_in=rgr->fl_in;
fl_out=rgr->fl_out;
in_id=rgr->in_id;
out_id=rgr->out_id;
/* Search for horizontal grid */
char *bnd_nm_in=rgr->bnd_nm; /* [sng] Name to recognize as input horizontal spatial dimension on unstructured grid */
char *col_nm_in=rgr->col_nm_in; /* [sng] Name to recognize as input horizontal spatial dimension on unstructured grid */
char *lat_nm_in=rgr->lat_nm_in; /* [sng] Name of input dimension to recognize as latitude */
char *lon_nm_in=rgr->lon_nm_in; /* [sng] Name of input dimension to recognize as longitude */
int dmn_id_bnd_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_col_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lat_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lon_in=NC_MIN_INT; /* [id] Dimension ID */
nco_bool FL_RTR_RMT_LCN;
nco_bool flg_grd_1D=False; /* [flg] Unpacked data are on unstructured (1D) grid */
nco_bool flg_grd_2D=False; /* [flg] Unpacked data are on rectangular (2D) grid */
nco_bool flg_grd_dat=False; /* [flg] Use horizontal grid from required input data file */
nco_bool flg_grd_tpl=False; /* [flg] Use horizontal grid from optional horizontal grid template file */
nco_bool flg_nm_hst=False; /* [flg] Names in data file are as in history files ("ltype_"...) */
nco_bool flg_nm_rst=False; /* [flg] Names in data file are as in restart files ("ilun_"...) */
/* Does data file have unstructured grid?
MB: Routine must handle two semantically distinct meanings of "column":
1. The horizontal dimension in an unstructured grid
2. A fraction of a landunit, which is a fraction of a CTSM/ELM gridcell
In particular, a column is a fraction of a vegetated, urban, glacier, or crop landunit
This routine distinguishes these meanings by abbreviating (1) as "col" and (2) as "clm"
This usage maintains the precedent that "col" is the horizontal unstructured dimension in nco_rgr.c
It is necessary though unintuitive that "cols1d" variable metadata will use the "clm" abbreviation */
if(col_nm_in && (rcd=nco_inq_dimid_flg(in_id,col_nm_in,&dmn_id_col_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(in_id,"lndgrid",&dmn_id_col_in)) == NC_NOERR) col_nm_in=strdup("lndgrid"); /* CLM */
if(dmn_id_col_in != NC_MIN_INT) flg_grd_1D=True;
/* Does data file have RLL grid? */
if(!flg_grd_1D){
if(lat_nm_in && (rcd=nco_inq_dimid_flg(in_id,lat_nm_in,&dmn_id_lat_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(in_id,"latitude",&dmn_id_lat_in)) == NC_NOERR) lat_nm_in=strdup("lndgrid"); /* CF */
if(lon_nm_in && (rcd=nco_inq_dimid_flg(in_id,lon_nm_in,&dmn_id_lon_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(in_id,"longitude",&dmn_id_lon_in)) == NC_NOERR) lon_nm_in=strdup("lndgrid"); /* CF */
} /* !flg_grd_1D */
if(dmn_id_lat_in != NC_MIN_INT && dmn_id_lon_in != NC_MIN_INT) flg_grd_2D=True;
/* Set where to obtain horizontal grid */
if(flg_grd_1D || flg_grd_2D) flg_grd_dat=True; else flg_grd_tpl=True;
if(flg_grd_tpl && !rgr->fl_hrz){
(void)fprintf(stderr,"%s: ERROR %s did not locate horizontal grid in input data file and no optional horizontal gridfile was provided.\nHINT: Use option --hrz to specify file with horizontal grid used by input data.\n",nco_prg_nm_get(),fnc_nm);
nco_exit(EXIT_FAILURE);
} /* !flg_grd_tpl */
/* Open grid template file iff necessary */
if(flg_grd_tpl && rgr->fl_hrz){
char *fl_pth_lcl=NULL;
nco_bool HPSS_TRY=False; /* [flg] Search HPSS for unfound files */
nco_bool RAM_OPEN=False; /* [flg] Open (netCDF3-only) file(s) in RAM */
nco_bool SHARE_OPEN=rgr->flg_uio; /* [flg] Open (netCDF3-only) file(s) with unbuffered I/O */
size_t bfr_sz_hnt=NC_SIZEHINT_DEFAULT; /* [B] Buffer size hint */
/* Duplicate (because nco_fl_mk_lcl() free()'s its fl_in) */
fl_tpl=(char *)strdup(rgr->fl_hrz);
/* Make sure file is on local system and is readable or die trying */
fl_tpl=nco_fl_mk_lcl(fl_tpl,fl_pth_lcl,HPSS_TRY,&FL_RTR_RMT_LCN);
/* Open file using appropriate buffer size hints and verbosity */
if(RAM_OPEN) md_open=NC_NOWRITE|NC_DISKLESS; else md_open=NC_NOWRITE;
if(SHARE_OPEN) md_open=md_open|NC_SHARE;
rcd+=nco_fl_open(fl_tpl,md_open,&bfr_sz_hnt,&tpl_id);
/* Same logic used to search for grid in data file and to search for grid in template file...
Does template file have unstructured grid? */
if(col_nm_in && (rcd=nco_inq_dimid_flg(tpl_id,col_nm_in,&dmn_id_col_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(tpl_id,"lndgrid",&dmn_id_col_in)) == NC_NOERR) col_nm_in=strdup("lndgrid"); /* CLM */
if(dmn_id_col_in != NC_MIN_INT) flg_grd_1D=True;
/* Does template file have RLL grid? */
if(!flg_grd_1D){
if(lat_nm_in && (rcd=nco_inq_dimid_flg(tpl_id,lat_nm_in,&dmn_id_lat_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(tpl_id,"latitude",&dmn_id_lat_in)) == NC_NOERR) lat_nm_in=strdup("lndgrid"); /* CF */
if(lon_nm_in && (rcd=nco_inq_dimid_flg(tpl_id,lon_nm_in,&dmn_id_lon_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(tpl_id,"longitude",&dmn_id_lon_in)) == NC_NOERR) lon_nm_in=strdup("lndgrid"); /* CF */
} /* !flg_grd_1D */
if(dmn_id_lat_in != NC_MIN_INT && dmn_id_lon_in != NC_MIN_INT) flg_grd_2D=True;
/* Set where to obtain horizontal grid */
if(!flg_grd_1D && !flg_grd_2D){
(void)fprintf(stderr,"%s: ERROR %s did not locate horizontal grid in input data file %s or in template file %s.\nHINT: One of those files must contain the grid dimensions and coordinates used by the packed data in the input data file.\n",nco_prg_nm_get(),fnc_nm,fl_in,fl_tpl);
nco_exit(EXIT_FAILURE);
} /* !flg_grd_1D */
} /* !flg_grd_tpl */
int cols1d_gridcell_index_id=NC_MIN_INT; /* [id] Gridcell index of column */
int cols1d_ixy_id=NC_MIN_INT; /* [id] Column 2D longitude index */
int cols1d_jxy_id=NC_MIN_INT; /* [id] Column 2D latitude index */
int cols1d_lat_id=NC_MIN_INT; /* [id] Column latitude */
int cols1d_lon_id=NC_MIN_INT; /* [id] Column longitude */
int cols1d_ityp_id=NC_MIN_INT; /* [id] Column type */
int cols1d_ityplun_id=NC_MIN_INT; /* [id] Column landunit type */
int grid1d_ixy_id=NC_MIN_INT; /* [id] Gridcell 2D longitude index */
int grid1d_jxy_id=NC_MIN_INT; /* [id] Gridcell 2D latitude index */
int grid1d_lat_id=NC_MIN_INT; /* [id] Gridcell latitude */
int grid1d_lon_id=NC_MIN_INT; /* [id] Gridcell longitude */
int land1d_gridcell_index_id=NC_MIN_INT; /* [id] Gridcell index of landunit */
int land1d_ixy_id=NC_MIN_INT; /* [id] Landunit 2D longitude index */
int land1d_jxy_id=NC_MIN_INT; /* [id] Landunit 2D latitude index */
int land1d_lat_id=NC_MIN_INT; /* [id] Landunit latitude */
int land1d_lon_id=NC_MIN_INT; /* [id] Landunit longitude */
int pfts1d_column_index_id=NC_MIN_INT; /* [id] Column index of PFT */
int pfts1d_gridcell_index_id=NC_MIN_INT; /* [id] Gridcell index of PFT */
int pfts1d_ityp_veg_id=NC_MIN_INT; /* [id] PFT vegetation type */
int pfts1d_ityplun_id=NC_MIN_INT; /* [id] PFT landunit type */
int pfts1d_ixy_id=NC_MIN_INT; /* [id] PFT 2D longitude index */
int pfts1d_jxy_id=NC_MIN_INT; /* [id] PFT 2D latitude index */
int pfts1d_lat_id=NC_MIN_INT; /* [id] PFT latitude */
int pfts1d_lon_id=NC_MIN_INT; /* [id] PFT longitude */
//int pfts1d_wtgcell_id=NC_MIN_INT; /* [id] PFT weight relative to corresponding gridcell */
int dmn_id_clm_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_grd_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lnd_in=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_pft_in=NC_MIN_INT; /* [id] Dimension ID */
nco_bool flg_s1d_clm=False; /* [flg] Dataset contains sparse variables for columns */
nco_bool flg_s1d_grd=False; /* [flg] Dataset contains sparse variables for gridcells */
nco_bool flg_s1d_lnd=False; /* [flg] Dataset contains sparse variables for landunits */
nco_bool flg_s1d_pft=False; /* [flg] Dataset contains sparse variables for PFTs */
rcd=nco_inq_att_flg(in_id,NC_GLOBAL,"ilun_vegetated_or_bare_soil",(nc_type *)NULL,(long *)NULL);
if(rcd == NC_NOERR) flg_nm_rst=True;
rcd=nco_inq_att_flg(in_id,NC_GLOBAL,"ltype_vegetated_or_bare_soil",(nc_type *)NULL,(long *)NULL);
if(rcd == NC_NOERR) flg_nm_hst=True;
assert(!(flg_nm_hst && flg_nm_rst));
if(!flg_nm_hst && !flg_nm_rst){
(void)fprintf(stderr,"%s: ERROR %s reports input data file lacks expected global attributes\n",nco_prg_nm_get(),fnc_nm);
nco_exit(EXIT_FAILURE);
} /* !flg_nm_hst */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stderr,"%s: INFO %s will assume input attributes and variables use CLM/ELM %s naming conventions like %s\n",nco_prg_nm_get(),fnc_nm,flg_nm_hst ? "history file" : "restart file",flg_nm_hst ? "\"ltype_...\"" : "\"ilun_...\"");
rcd=nco_inq_varid_flg(in_id,"cols1d_lat",&cols1d_lat_id);
if(cols1d_lat_id != NC_MIN_INT) flg_s1d_clm=True;
if(flg_s1d_clm){
rcd=nco_inq_varid(in_id,"cols1d_ixy",&cols1d_ixy_id);
rcd=nco_inq_varid(in_id,"cols1d_jxy",&cols1d_jxy_id);
rcd=nco_inq_varid(in_id,"cols1d_lon",&cols1d_lon_id);
rcd=nco_inq_varid_flg(in_id,"cols1d_gridcell_index",&cols1d_gridcell_index_id); /* ELM/MALI restart */
rcd=nco_inq_varid_flg(in_id,"cols1d_ityp",&cols1d_ityp_id); /* ELM/MALI restart */
if(flg_nm_hst) rcd=nco_inq_varid(in_id,"cols1d_itype_lunit",&cols1d_ityplun_id); else rcd=nco_inq_varid(in_id,"cols1d_ityplun",&cols1d_ityplun_id);
} /* !flg_s1d_clm */
rcd=nco_inq_varid_flg(in_id,"grid1d_lat",&grid1d_lat_id);
if(grid1d_lat_id != NC_MIN_INT) flg_s1d_grd=True;
if(flg_s1d_grd){
rcd=nco_inq_varid(in_id,"grid1d_ixy",&grid1d_ixy_id);
rcd=nco_inq_varid(in_id,"grid1d_jxy",&grid1d_jxy_id);
rcd=nco_inq_varid(in_id,"grid1d_lon",&grid1d_lon_id);
} /* !flg_s1d_grd */
rcd=nco_inq_varid_flg(in_id,"land1d_lat",&land1d_lat_id);
if(land1d_lat_id != NC_MIN_INT) flg_s1d_lnd=True;
if(flg_s1d_lnd){
rcd=nco_inq_varid_flg(in_id,"land1d_gridcell_index",&land1d_gridcell_index_id);
rcd=nco_inq_varid(in_id,"land1d_ixy",&land1d_ixy_id);
rcd=nco_inq_varid(in_id,"land1d_jxy",&land1d_jxy_id);
rcd=nco_inq_varid(in_id,"land1d_lon",&land1d_lon_id);
} /* !flg_s1d_lnd */
rcd=nco_inq_varid_flg(in_id,"pfts1d_lat",&pfts1d_lat_id);
if(pfts1d_lat_id != NC_MIN_INT) flg_s1d_pft=True;
if(flg_s1d_pft){
rcd=nco_inq_varid(in_id,"pfts1d_ixy",&pfts1d_ixy_id);
rcd=nco_inq_varid(in_id,"pfts1d_jxy",&pfts1d_jxy_id);
rcd=nco_inq_varid(in_id,"pfts1d_lon",&pfts1d_lon_id);
rcd=nco_inq_varid_flg(in_id,"pfts1d_column_index",&pfts1d_column_index_id);
rcd=nco_inq_varid_flg(in_id,"pfts1d_gridcell_index",&pfts1d_gridcell_index_id);
//if(flg_nm_hst) rcd=nco_inq_varid(in_id,"pfts1d_wtgcell",&pfts1d_wtgcell_id); else rcd=nco_inq_varid(in_id,"pfts1d_wtxy",&pfts1d_wtgcell_id);
if(flg_nm_hst) rcd=nco_inq_varid(in_id,"pfts1d_itype_lunit",&pfts1d_ityplun_id); else rcd=nco_inq_varid(in_id,"pfts1d_ityplun",&pfts1d_ityplun_id);
if(flg_nm_hst) rcd=nco_inq_varid(in_id,"pfts1d_itype_veg",&pfts1d_ityp_veg_id); else rcd=nco_inq_varid(in_id,"pfts1d_itypveg",&pfts1d_ityp_veg_id);
} /* !flg_s1d_pft */
if(!(flg_s1d_clm || flg_s1d_lnd || flg_s1d_pft)){
(void)fprintf(stderr,"%s: ERROR %s does not detect any of the key variables (currently cols1d_lat, land1d_lat, pfts1d_lat) used to indicate presence of sparse-packed (S1D) variables\nHINT: Be sure the target dataset (file) contains S1D variables---not all CLM/ELM history (as opposed to restart) files do\n",nco_prg_nm_get(),fnc_nm);
nco_exit(EXIT_FAILURE);
} /* !flg_s1d_clm... */
if(flg_s1d_clm) rcd=nco_inq_dimid(in_id,clm_nm_in,&dmn_id_clm_in);
if(flg_s1d_grd) rcd=nco_inq_dimid(in_id,grd_nm_in,&dmn_id_grd_in);
if(flg_s1d_lnd) rcd=nco_inq_dimid(in_id,lnd_nm_in,&dmn_id_lnd_in);
if(flg_s1d_pft) rcd=nco_inq_dimid(in_id,pft_nm_in,&dmn_id_pft_in);
if(nco_dbg_lvl_get() >= nco_dbg_std){
(void)fprintf(stderr,"%s: INFO %s necessary information to unpack cols1d variables\n",nco_prg_nm_get(),flg_s1d_clm ? "Found all" : "Could not find");
(void)fprintf(stderr,"%s: INFO %s necessary information to unpack land1d variables\n",nco_prg_nm_get(),flg_s1d_lnd ? "Found all" : "Could not find");
(void)fprintf(stderr,"%s: INFO %s necessary information to unpack pfts1d variables\n",nco_prg_nm_get(),flg_s1d_pft ? "Found all" : "Could not find");
} /* !dbg */
/* Collect other information from data and template files */
int dmn_nbr_in; /* [nbr] Number of dimensions in input file */
int dmn_nbr_out; /* [nbr] Number of dimensions in output file */
int var_nbr; /* [nbr] Number of variables in file */
rcd=nco_inq(in_id,&dmn_nbr_in,&var_nbr,(int *)NULL,(int *)NULL);
const unsigned int trv_nbr=trv_tbl->nbr; /* [idx] Number of traversal table entries */
int var_cpy_nbr=0; /* [nbr] Number of copied variables */
int var_rgr_nbr=0; /* [nbr] Number of unpacked variables */
int var_xcl_nbr=0; /* [nbr] Number of deleted variables */
int var_crt_nbr=0; /* [nbr] Number of created variables */
//long idx; /* [idx] Generic index */
unsigned int idx_tbl; /* [idx] Counter for traversal table */
char *dmn_nm_cp; /* [sng] Dimension name as char * to reduce indirection */
nco_bool has_clm; /* [flg] Contains column dimension */
nco_bool has_grd; /* [flg] Contains gridcell dimension */
nco_bool has_lnd; /* [flg] Contains landunit dimension */
nco_bool has_pft; /* [flg] Contains PFT dimension */
nco_bool need_clm=False; /* [flg] At least one variable to unpack needs column dimension */
nco_bool need_grd=False; /* [flg] At least one variable to unpack needs gridcell dimension */
nco_bool need_lnd=False; /* [flg] At least one variable to unpack needs landunit dimension */
// nco_bool need_mec=False; /* [flg] At least one variable to unpack needs MEC dimension */
nco_bool need_pft=False; /* [flg] At least one variable to unpack needs PFT dimension */
trv_sct trv; /* [sct] Traversal table object structure to reduce indirection */
/* Define unpacking flag for each variable */
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr){
dmn_nbr_in=trv_tbl->lst[idx_tbl].nbr_dmn;
has_clm=has_grd=has_lnd=has_pft=False;
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
/* Pre-determine flags necessary during next loop */
dmn_nm_cp=trv.var_dmn[dmn_idx].dmn_nm;
if(!has_clm && clm_nm_in) has_clm=!strcmp(dmn_nm_cp,clm_nm_in);
if(!has_grd && grd_nm_in) has_grd=!strcmp(dmn_nm_cp,grd_nm_in);
if(!has_lnd && lnd_nm_in) has_lnd=!strcmp(dmn_nm_cp,lnd_nm_in);
if(!has_pft && pft_nm_in) has_pft=!strcmp(dmn_nm_cp,pft_nm_in);
} /* !dmn_idx */
/* Unpack variables that contain a sparse-1D dimension */
if(has_clm || has_grd || has_lnd || has_pft){
trv_tbl->lst[idx_tbl].flg_rgr=True;
var_rgr_nbr++;
if(has_clm) need_clm=True;
if(has_grd) need_grd=True;
if(has_lnd) need_lnd=True;
if(has_pft) need_pft=True;
} /* endif */
/* Copy all variables that are not regridded or omitted */
if(!trv_tbl->lst[idx_tbl].flg_rgr) var_cpy_nbr++;
} /* end nco_obj_typ_var */
} /* end idx_tbl */
if(!var_rgr_nbr) (void)fprintf(stdout,"%s: WARNING %s reports no variables fit unpacking criteria. The sparse data unpacker expects at least one variable to unpack, and variables not unpacked are copied straight to output. HINT: If the name(s) of the input sparse-1D dimensions (e.g., \"column\", \"landunit\", and \"pft\") do not match NCO's preset defaults (case-insensitive unambiguous forms and abbreviations of \"column\", \"landunit\", and/or \"pft\", respectively) then change the dimension names that NCO looks for. Instructions are at http://nco.sf.net/nco.html#sparse. For CTSM/ELM sparse-1D coordinate grids, the \"column\", \"landunit\", and \"pft\" variable names can be set with, e.g., \"ncks --rgr column_nm=clm#landunit_nm=lnd#pft_nm=pft\" or \"ncremap -R '--rgr clm=clm#lnd=lnd#pft=pft'\".\n",nco_prg_nm_get(),fnc_nm);
if(nco_dbg_lvl_get() >= nco_dbg_fl){
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr) (void)fprintf(stderr,"Unpack %s? %s\n",trv.nm,trv.flg_rgr ? "Yes" : "No");
} /* end idx_tbl */
} /* end dbg */
long clm_nbr_in=NC_MIN_INT; /* [nbr] Number of columns in input data */
long grd_nbr_in=NC_MIN_INT; /* [nbr] Number of gridcells in input data */
long lnd_nbr_in=NC_MIN_INT; /* [nbr] Number of landunits in input data */
long pft_nbr_in=NC_MIN_INT; /* [nbr] Number of PFTs in input data */
long clm_nbr_out=NC_MIN_INT; /* [nbr] Number of columns in output data */
long grd_nbr_out=NC_MIN_INT; /* [nbr] Number of gridcells in output data */
long lnd_nbr_out=NC_MIN_INT; /* [nbr] Number of landunits in output data */
long mec_nbr_out=NC_MIN_INT; /* [nbr] Number of MECs in output data */
long pft_nbr_out=NC_MIN_INT; /* [nbr] Number of PFTs in output data */
if(need_clm) rcd=nco_inq_dimlen(in_id,dmn_id_clm_in,&clm_nbr_in);
if(need_grd) rcd=nco_inq_dimlen(in_id,dmn_id_grd_in,&grd_nbr_in);
if(need_lnd) rcd=nco_inq_dimlen(in_id,dmn_id_lnd_in,&lnd_nbr_in);
if(need_pft) rcd=nco_inq_dimlen(in_id,dmn_id_pft_in,&pft_nbr_in);
int hrz_id; /* [id] Horizontal grid netCDF file ID */
long bnd_nbr=int_CEWI; /* [nbr] Number of boundaries for output time and rectangular grid coordinates, and number of vertices for output non-rectangular grid coordinates */
long col_nbr; /* [nbr] Number of columns */
long lon_nbr; /* [nbr] Number of longitudes */
long lat_nbr; /* [nbr] Number of latitudes */
size_t grd_sz_in; /* [nbr] Number of elements in single layer of input grid */
size_t grd_sz_out; /* [nbr] Number of elements in single layer of output grid */
if(flg_grd_dat) hrz_id=in_id; else hrz_id=tpl_id;
/* Locate bounds dimension, if any, in file containing horizontal grid */
if(bnd_nm_in && (rcd=nco_inq_dimid_flg(hrz_id,bnd_nm_in,&dmn_id_bnd_in)) == NC_NOERR) /* do nothing */;
else if((rcd=nco_inq_dimid_flg(hrz_id,"nv",&dmn_id_bnd_in)) == NC_NOERR) bnd_nm_in=strdup("nv"); /* fxm */
else if((rcd=nco_inq_dimid_flg(hrz_id,"nvertices",&dmn_id_bnd_in)) == NC_NOERR) bnd_nm_in=strdup("nvertices"); /* CICE */
else if((rcd=nco_inq_dimid_flg(hrz_id,"maxEdges",&dmn_id_bnd_in)) == NC_NOERR) bnd_nm_in=strdup("maxEdges"); /* MPAS */
if(flg_grd_1D) rcd=nco_inq_dimlen(hrz_id,dmn_id_col_in,&col_nbr);
if(flg_grd_2D){
rcd=nco_inq_dimlen(hrz_id,dmn_id_lat_in,&lat_nbr);
rcd=nco_inq_dimlen(hrz_id,dmn_id_lon_in,&lon_nbr);
} /* !flg_grd_2D */
if(dmn_id_bnd_in != NC_MIN_INT) rcd=nco_inq_dimlen(hrz_id,dmn_id_bnd_in,&bnd_nbr);
if(grd_nbr_in != NC_MIN_INT){
grd_sz_in=grd_nbr_in;
}else{
grd_sz_in= flg_grd_1D ? col_nbr : lat_nbr*lon_nbr;
} /* !grd_nbr_in */
grd_sz_out= flg_grd_1D ? col_nbr : lat_nbr*lon_nbr;
/* Lay-out unpacked file */
char *bnd_nm_out=NULL;
char *col_nm_out=NULL;
char *lat_nm_out=NULL;
char *lon_nm_out=NULL;
char *lat_dmn_nm_out;
char *lon_dmn_nm_out;
int dmn_id_bnd_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_col_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lat_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lon_out=NC_MIN_INT; /* [id] Dimension ID */
if(rgr->bnd_nm) bnd_nm_out=rgr->bnd_nm; else bnd_nm_out=bnd_nm_in;
if(rgr->col_nm_out) col_nm_out=rgr->col_nm_out; else col_nm_out=col_nm_in;
if(rgr->lat_dmn_nm) lat_dmn_nm_out=rgr->lat_dmn_nm; else lat_dmn_nm_out=lat_nm_in;
if(rgr->lon_dmn_nm) lon_dmn_nm_out=rgr->lon_dmn_nm; else lon_dmn_nm_out=lon_nm_in;
if(rgr->lat_nm_out) lat_nm_out=rgr->lat_nm_out; else lat_nm_out=lat_nm_in;
if(rgr->lon_nm_out) lon_nm_out=rgr->lon_nm_out; else lon_nm_out=lon_nm_in;
/* Define horizontal dimensions before all else */
if(flg_grd_1D){
rcd=nco_def_dim(out_id,col_nm_out,col_nbr,&dmn_id_col_out);
} /* !flg_grd_1D */
if(flg_grd_2D){
rcd=nco_def_dim(out_id,lat_nm_out,lat_nbr,&dmn_id_lat_out);
rcd=nco_def_dim(out_id,lon_nm_out,lon_nbr,&dmn_id_lon_out);
} /* !flg_grd_2D */
if(dmn_id_bnd_in != NC_MIN_INT) rcd=nco_def_dim(out_id,bnd_nm_out,bnd_nbr,&dmn_id_bnd_out);
char *clm_nm_out=NULL;
char *grd_nm_out=NULL;
char *lnd_nm_out=NULL;
char *pft_nm_out=NULL;
if(need_clm) clm_nm_out=(char *)strdup(clm_nm_in);
if(need_grd) grd_nm_out=(char *)strdup(grd_nm_in);
if(need_lnd) lnd_nm_out=(char *)strdup(lnd_nm_in);
if(need_pft) pft_nm_out=(char *)strdup(pft_nm_in);
int dmn_id_clm_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_lnd_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_mec_out=NC_MIN_INT; /* [id] Dimension ID */
int dmn_id_pft_out=NC_MIN_INT; /* [id] Dimension ID */
/* fxm: make an ilun enumerated type? */
int ilun_vegetated_or_bare_soil; /* 1 [enm] */
int ilun_crop; /* 2 [enm] */
int ilun_landice; /* 3 [enm] */
int ilun_landice_multiple_elevation_classes; /* 4 [enm] */
int ilun_deep_lake; /* 5 [enm] */
int ilun_wetland; /* 6 [enm] */
int ilun_urban_tbd; /* 7 [enm] */
int ilun_urban_hd; /* 8 [enm] */
int ilun_urban_md; /* 9 [enm] */
if(flg_nm_hst){
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_vegetated_or_bare_soil",&ilun_vegetated_or_bare_soil,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_crop",&ilun_crop,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_landice",&ilun_landice,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_landice_multiple_elevation_classes",&ilun_landice_multiple_elevation_classes,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_deep_lake",&ilun_deep_lake,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_wetland",&ilun_wetland,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_urban_tbd",&ilun_urban_tbd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_urban_hd",&ilun_urban_hd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ltype_urban_md",&ilun_urban_md,NC_INT);
}else{ /* !flg_nm_hst */
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_vegetated_or_bare_soil",&ilun_vegetated_or_bare_soil,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_crop",&ilun_crop,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_landice",&ilun_landice,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_landice_multiple_elevation_classes",&ilun_landice_multiple_elevation_classes,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_deep_lake",&ilun_deep_lake,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_wetland",&ilun_wetland,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_urban_tbd",&ilun_urban_tbd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_urban_hd",&ilun_urban_hd,NC_INT);
rcd=nco_get_att(in_id,NC_GLOBAL,"ilun_urban_md",&ilun_urban_md,NC_INT);
} /* !flg_nm_hst */
/* Determine output Column dimension if needed */
int *cols1d_ityp=NULL; /* [id] Column type */
int *cols1d_ityplun=NULL; /* [id] Column landunit type */
if(need_clm){
if(cols1d_ityp_id != NC_MIN_INT) cols1d_ityp=(int *)nco_malloc(clm_nbr_in*sizeof(int));
cols1d_ityplun=(int *)nco_malloc(clm_nbr_in*sizeof(int));
if(cols1d_ityp_id != NC_MIN_INT) rcd=nco_get_var(in_id,cols1d_ityp_id,cols1d_ityp,NC_INT);
rcd=nco_get_var(in_id,cols1d_ityplun_id,cols1d_ityplun,NC_INT);
mec_nbr_out=0;
for(clm_idx=0;clm_idx<clm_nbr_in;clm_idx++){
if(cols1d_ityplun[clm_idx] != ilun_landice_multiple_elevation_classes) continue;
while(cols1d_ityplun[clm_idx++] == ilun_landice_multiple_elevation_classes) mec_nbr_out++;
break;
} /* !clm_idx */
/* NB: landice_MEC (ilun=4, usually) landunits have 10 (always, AFAICT) glacier elevation classes */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO mec_nbr_out = %ld\n",nco_prg_nm_get(),mec_nbr_out);
} /* !need_clm */
/* Determine output Grid dimension if needed:
CLM/ELM 'gridcell' dimension counts each gridcell that contains land
Replace this dimension by horizontal dimension(s) in input data file */
if(need_clm){
if(flg_grd_1D) grd_nbr_out=col_nbr;
if(flg_grd_2D) grd_nbr_out=lat_nbr*lon_nbr;
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO grd_nbr_out = %ld\n",nco_prg_nm_get(),grd_nbr_out);
} /* !need_grd */
/* Determine output Landunit dimension if needed */
if(need_lnd){
lnd_nbr_out=3; /* fxm: Based on TBUILD variable for 3 urban landunit types */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO lnd_nbr_out = %ld\n",nco_prg_nm_get(),lnd_nbr_out);
} /* !need_lnd */
/* Determine output PFT dimension if needed */
//double *pfts1d_wtgcell=NULL; /* [id] PFT weight relative to corresponding gridcell */
int *pfts1d_ityp_veg=NULL; /* [id] PFT vegetation type */
int *pfts1d_ityplun=NULL; /* [id] PFT landunit type */
int *pfts1d_ixy=NULL; /* [id] PFT 2D longitude index */
int *pfts1d_jxy=NULL; /* [id] PFT 2D latitude index */
int pft_typ; /* [enm] PFT type */
if(need_pft){
//pfts1d_wtgcell=(double *)nco_malloc(pft_nbr_in*sizeof(double));
pfts1d_ityp_veg=(int *)nco_malloc(pft_nbr_in*sizeof(int));
pfts1d_ityplun=(int *)nco_malloc(pft_nbr_in*sizeof(int));
//rcd=nco_get_var(in_id,pfts1d_wtgcell_id,pfts1d_wtgcell,NC_DOUBLE);
rcd=nco_get_var(in_id,pfts1d_ityp_veg_id,pfts1d_ityp_veg,NC_INT);
rcd=nco_get_var(in_id,pfts1d_ityplun_id,pfts1d_ityplun,NC_INT);
pft_nbr_out=0;
for(pft_idx=0;pft_idx<pft_nbr_in;pft_idx++){
if((pfts1d_ityplun[pft_idx] != ilun_vegetated_or_bare_soil) && (pfts1d_ityplun[pft_idx] != ilun_crop)) continue;
/* Skip bare ground */
while(pfts1d_ityp_veg[++pft_idx] != 0) pft_nbr_out++;
break;
} /* !pft_idx */
if(nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: INFO pft_nbr_out = %ld\n",nco_prg_nm_get(),pft_nbr_out);
pfts1d_ixy=(int *)nco_malloc(pft_nbr_in*sizeof(int));
rcd=nco_get_var(in_id,pfts1d_ixy_id,pfts1d_ixy,NC_INT);
if(flg_grd_2D){
pfts1d_jxy=(int *)nco_malloc(pft_nbr_in*sizeof(int));
rcd=nco_get_var(in_id,pfts1d_jxy_id,pfts1d_jxy,NC_INT);
} /* !flg_grd_2D */
} /* !need_pft */
/* Define unpacked versions of needed dimensions before all else */
(void)fprintf(stdout,"%s: DEBUG quark1\n",nco_prg_nm_get());
if(need_clm && clm_nbr_out > 0L) rcd=nco_def_dim(out_id,clm_nm_out,clm_nbr_out,&dmn_id_clm_out);
if(need_lnd && lnd_nbr_out > 0L) rcd=nco_def_dim(out_id,lnd_nm_out,lnd_nbr_out,&dmn_id_lnd_out);
if(need_pft && pft_nbr_out > 0L) rcd=nco_def_dim(out_id,pft_nm_out,pft_nbr_out,&dmn_id_pft_out);
/* Assume MECs are new output dimension if they are enumerated in input */
if(mec_nbr_out > 0L) rcd=nco_def_dim(out_id,mec_nm_out,mec_nbr_out,&dmn_id_mec_out);
/* Pre-allocate dimension ID and cnt/srt space */
char *var_nm; /* [sng] Variable name */
int *dmn_ids_in=NULL; /* [id] Dimension IDs */
int *dmn_ids_out=NULL; /* [id] Dimension IDs */
int dmn_nbr_max; /* [nbr] Maximum number of dimensions variable can have in input or output */
int var_id_in; /* [id] Variable ID */
int var_id_out; /* [id] Variable ID */
long *dmn_cnt_in=NULL;
long *dmn_cnt_out=NULL;
long *dmn_srt=NULL;
nc_type var_typ; /* [enm] Variable type (same for input and output variable) */
nco_bool PCK_ATT_CPY=True; /* [flg] Copy attributes "scale_factor", "add_offset" */
int dmn_in_fst; /* [idx] Offset of input- relative to output-dimension due to non-MRV dimension insertion */
int dmn_nbr_rec; /* [nbr] Number of unlimited dimensions */
int *dmn_ids_rec=NULL; /* [id] Unlimited dimension IDs */
rcd+=nco_inq_ndims(in_id,&dmn_nbr_max);
dmn_ids_in=(int *)nco_malloc(dmn_nbr_max*sizeof(int));
dmn_ids_out=(int *)nco_malloc(dmn_nbr_max*sizeof(int));
if(dmn_srt) dmn_srt=(long *)nco_free(dmn_srt);
dmn_srt=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
if(dmn_cnt_in) dmn_cnt_in=(long *)nco_free(dmn_cnt_in);
if(dmn_cnt_out) dmn_cnt_out=(long *)nco_free(dmn_cnt_out);
dmn_cnt_in=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
dmn_cnt_out=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
/* Obtain record dimension information from data file (restart files have no time dimension) */
rcd+=nco_inq_unlimdims(in_id,&dmn_nbr_rec,(int *)NULL);
if(dmn_nbr_rec > 0){
dmn_ids_rec=(int *)nco_malloc(dmn_nbr_rec*sizeof(int));
rcd=nco_inq_unlimdims(in_id,&dmn_nbr_rec,dmn_ids_rec);
} /* !dmn_nbr_rec */
int shuffle; /* [flg] Turn-on shuffle filter */
int deflate; /* [flg] Turn-on deflate filter */
deflate=(int)True;
shuffle=NC_SHUFFLE;
dfl_lvl=rgr->dfl_lvl;
fl_out_fmt=rgr->fl_out_fmt;
//const int dmn_nbr_0D=0; /* [nbr] Rank of 0-D grid variables (scalars) */
const int dmn_nbr_1D=1; /* [nbr] Rank of 1-D grid variables */
const int dmn_nbr_2D=2; /* [nbr] Rank of 2-D grid variables */
nc_type crd_typ_in;
nc_type crd_typ_out;
/* Required grid variables */
int lat_in_id; /* [id] Variable ID for latitude */
int lat_out_id; /* [id] Variable ID for latitude */
int lon_in_id; /* [id] Variable ID for longitude */
int lon_out_id; /* [id] Variable ID for longitude */
rcd=nco_inq_varid(hrz_id,lat_nm_in,&lat_in_id);
rcd=nco_inq_varid(hrz_id,lon_nm_in,&lon_in_id);
rcd=nco_inq_vartype(hrz_id,lat_in_id,&crd_typ_in);
/* NB: ELM/CLM history files default to NC_FLOAT for most grid variables
To convert to NC_DOUBLE on output, also convert _FillValue attribute type consistently */
crd_typ_out=crd_typ_in;
/* Optional grid variables */
char *area_nm;
char *sgs_frc_nm;
char *lat_bnd_nm;
char *lon_bnd_nm;
char *sgs_msk_nm;
int area_in_id=NC_MIN_INT; /* [id] Variable ID for area */
int area_out_id=NC_MIN_INT; /* [id] Variable ID for area */
int sgs_frc_in_id=NC_MIN_INT; /* [id] Variable ID for fraction */
int sgs_frc_out_id=NC_MIN_INT; /* [id] Variable ID for fraction */
int lat_bnd_in_id=NC_MIN_INT; /* [id] Variable ID for latitude bounds */
int lat_bnd_out_id=NC_MIN_INT; /* [id] Variable ID for latitude bounds */
int lon_bnd_in_id=NC_MIN_INT; /* [id] Variable ID for longitude bounds */
int lon_bnd_out_id=NC_MIN_INT; /* [id] Variable ID for longitude bounds */
int sgs_msk_in_id=NC_MIN_INT; /* [id] Variable ID for mask */
int sgs_msk_out_id=NC_MIN_INT; /* [id] Variable ID for mask */
nco_bool flg_area_out=False; /* [flg] Add area to output */
nco_bool flg_lat_bnd_out=False; /* [flg] Add latitude bounds to output */
nco_bool flg_lon_bnd_out=False; /* [flg] Add longitude bounds to output */
nco_bool flg_sgs_frc_out=False; /* [flg] Add fraction to output */
nco_bool flg_sgs_msk_out=False; /* [flg] Add mask to output */
area_nm=rgr->area_nm ? rgr->area_nm : strdup("area");
lat_bnd_nm=rgr->lat_bnd_nm ? rgr->lat_bnd_nm : strdup("lat_bnd");
lon_bnd_nm=rgr->lon_bnd_nm ? rgr->lon_bnd_nm : strdup("lon_bnd");
sgs_frc_nm=rgr->sgs_frc_nm ? rgr->sgs_frc_nm : strdup("landfrac");
sgs_msk_nm=rgr->sgs_msk_nm ? rgr->sgs_msk_nm : strdup("landmask");
if((rcd=nco_inq_varid_flg(hrz_id,area_nm,&area_in_id)) == NC_NOERR) flg_area_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,lat_bnd_nm,&lat_bnd_in_id)) == NC_NOERR) flg_lat_bnd_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,lon_bnd_nm,&lon_bnd_in_id)) == NC_NOERR) flg_lon_bnd_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,sgs_frc_nm,&sgs_frc_in_id)) == NC_NOERR) flg_sgs_frc_out=True;
if((rcd=nco_inq_varid_flg(hrz_id,sgs_msk_nm,&sgs_msk_in_id)) == NC_NOERR) flg_sgs_msk_out=True;
(void)fprintf(stdout,"%s: DEBUG quark2\n",nco_prg_nm_get());
if(flg_grd_1D){
rcd+=nco_def_var(out_id,lat_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&lat_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lat_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_in_id,lat_out_id,PCK_ATT_CPY);
var_crt_nbr++;
rcd+=nco_def_var(out_id,lon_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&lon_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lon_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_in_id,lon_out_id,PCK_ATT_CPY);
var_crt_nbr++;
if(flg_lat_bnd_out){
dmn_ids_out[0]=dmn_id_col_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lat_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lat_bnd_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lat_bnd_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_bnd_in_id,lat_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lat_bnd_out */
if(flg_lon_bnd_out){
dmn_ids_out[0]=dmn_id_col_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lon_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lon_bnd_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lon_bnd_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_bnd_in_id,lon_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lon_bnd_out */
if(flg_area_out){
rcd+=nco_def_var(out_id,area_nm,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&area_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,area_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,area_in_id,area_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_area_out */
if(flg_sgs_frc_out){
rcd+=nco_def_var(out_id,sgs_frc_nm,crd_typ_out,dmn_nbr_1D,&dmn_id_col_out,&sgs_frc_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,sgs_frc_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_frc_in_id,sgs_frc_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_frc_out */
if(flg_sgs_msk_out){
rcd+=nco_def_var(out_id,sgs_msk_nm,(nc_type)NC_INT,dmn_nbr_1D,&dmn_id_col_out,&sgs_msk_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,sgs_msk_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_msk_in_id,sgs_msk_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_msk_out */
} /* !flg_grd_1D */
if(flg_grd_2D){
rcd+=nco_def_var(out_id,lat_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_lat_out,&lat_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lat_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_in_id,lat_out_id,PCK_ATT_CPY);
var_crt_nbr++;
rcd+=nco_def_var(out_id,lon_nm_out,crd_typ_out,dmn_nbr_1D,&dmn_id_lon_out,&lon_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lon_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_in_id,lon_out_id,PCK_ATT_CPY);
var_crt_nbr++;
if(flg_lat_bnd_out){
dmn_ids_out[0]=dmn_id_lat_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lat_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lat_bnd_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lat_bnd_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lat_bnd_in_id,lat_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lat_bnd_out */
if(flg_lon_bnd_out){
dmn_ids_out[0]=dmn_id_lon_out;
dmn_ids_out[1]=dmn_id_bnd_out;
rcd+=nco_def_var(out_id,lon_bnd_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&lon_bnd_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,lon_bnd_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,lon_bnd_in_id,lon_bnd_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_lon_bnd_out */
dmn_ids_out[0]=dmn_id_lat_out;
dmn_ids_out[1]=dmn_id_lon_out;
if(flg_area_out){
rcd+=nco_def_var(out_id,area_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&area_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,area_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,area_in_id,area_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_area_out */
if(flg_sgs_frc_out){
rcd+=nco_def_var(out_id,sgs_frc_nm,crd_typ_out,dmn_nbr_2D,dmn_ids_out,&sgs_frc_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,sgs_frc_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_frc_in_id,sgs_frc_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_frc_out */
if(flg_sgs_msk_out){
rcd+=nco_def_var(out_id,sgs_msk_nm,(nc_type)NC_INT,dmn_nbr_2D,dmn_ids_out,&sgs_msk_out_id);
if(dfl_lvl > 0) (void)nco_def_var_deflate(out_id,sgs_msk_out_id,shuffle,deflate,dfl_lvl);
(void)nco_att_cpy(hrz_id,out_id,sgs_msk_in_id,sgs_msk_out_id,PCK_ATT_CPY);
var_crt_nbr++;
} /* !flg_sgs_msk_out */
} /* !flg_grd_2D */
int flg_pck; /* [flg] Variable is packed on disk */
nco_bool has_mss_val; /* [flg] Has numeric missing value attribute */
nco_bool flg_add_spc_crd; /* [flg] Add spatial coordinates to S1D variable */
float mss_val_flt;
double mss_val_dbl;
nco_s1d_typ_enm nco_s1d_typ; /* [enm] Sparse-1D type of input variable */
aed_sct aed_mtd_fll_val;
(void)fprintf(stdout,"%s: DEBUG quark3\n",nco_prg_nm_get());
/* Define unpacked S1D and copied variables in output file */
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr){
var_nm=trv.nm;
/* Preserve input type in output type */
var_typ=trv.var_typ;
dmn_nbr_in=trv.nbr_dmn;
dmn_nbr_out=trv.nbr_dmn;
rcd=nco_inq_varid(in_id,var_nm,&var_id_in);
rcd=nco_inq_varid_flg(out_id,var_nm,&var_id_out);
/* If variable has not been defined, define it */
if(rcd != NC_NOERR){
if(trv.flg_rgr){
/* Unpack */
(void)fprintf(stdout,"%s: DEBUG quark4\n",nco_prg_nm_get());
rcd=nco_inq_vardimid(in_id,var_id_in,dmn_ids_in);
dmn_in_fst=0;
flg_add_spc_crd=False;
rcd=nco_inq_var_packing(in_id,var_id_in,&flg_pck);
if(flg_pck) (void)fprintf(stdout,"%s: WARNING %s reports S1D variable \"%s\" is packed so results unpredictable. HINT: If regridded values seems weird, retry after unpacking input file with, e.g., \"ncpdq -U in.nc out.nc\"\n",nco_prg_nm_get(),fnc_nm,var_nm);
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
rcd=nco_inq_dimname(in_id,dmn_ids_in[dmn_idx],dmn_nm);
if(clm_nm_in && !strcmp(dmn_nm,clm_nm_in)){
if(mec_nbr_out > 0L){
/* Change input column dimension to MEC if present */
dmn_ids_out[dmn_idx]=dmn_id_mec_out;
dmn_cnt_out[dmn_idx]=mec_nbr_out;
dmn_in_fst++;
dmn_nbr_out++;
} /* !mec_nbr_out */
flg_add_spc_crd=True;
}else if(!strcmp(dmn_nm,grd_nm_in)){
/* Gridcell dimension disappears to become spatial dimension in output */
flg_add_spc_crd=True;
}else if(!strcmp(dmn_nm,lnd_nm_in)){
/* Change landunit dimension */
dmn_ids_out[dmn_idx]=dmn_id_lnd_out;
dmn_cnt_out[dmn_idx]=lnd_nbr_out;
flg_add_spc_crd=True;
}else if(!strcmp(dmn_nm,pft_nm_in)){
if(pft_nbr_out > 0L){
/* Change input PFT dimension to PFT if present */
dmn_ids_out[dmn_idx]=dmn_id_pft_out;
dmn_cnt_out[dmn_idx]=pft_nbr_out;
dmn_in_fst++;
dmn_nbr_out++;
} /* !pft_nbr_out */
flg_add_spc_crd=True;
}else{
/* Dimensions [clm/lnd/pft]_nm_in were pre-defined above as [clm/lnd/pft]_nm_out, replicate all other dimensions */
rcd=nco_inq_dimid_flg(out_id,dmn_nm,dmn_ids_out+dmn_idx);
} /* !clm */
if(rcd != NC_NOERR){
/* Current input dimension is not yet in output file */
(void)fprintf(stdout,"%s: DEBUG var_nm = %s, dmn_nm = %s\n",nco_prg_nm_get(),var_nm,dmn_nm);
rcd=nco_inq_dimlen(in_id,dmn_ids_in[dmn_idx],dmn_cnt_out+dmn_idx);
/* Check-for and, if found, retain record dimension property */
for(int dmn_rec_idx=0;dmn_rec_idx < dmn_nbr_rec;dmn_rec_idx++)
if(dmn_ids_in[dmn_idx] == dmn_ids_rec[dmn_rec_idx])
dmn_cnt_out[dmn_idx]=NC_UNLIMITED;
rcd=nco_def_dim(out_id,dmn_nm,dmn_cnt_out[dmn_idx],dmn_ids_out+dmn_idx);
} /* !rcd */
if(flg_add_spc_crd){
/* Follow by spatial dimension(s) */
if(flg_grd_1D){
dmn_ids_out[dmn_idx+dmn_in_fst]=dmn_id_col_out;
dmn_cnt_out[dmn_idx+dmn_in_fst]=col_nbr;
} /* !flg_grd_1D */
if(flg_grd_2D){
dmn_ids_out[dmn_idx+dmn_in_fst]=dmn_id_lat_out;
dmn_cnt_out[dmn_idx+dmn_in_fst]=lat_nbr;
dmn_in_fst++;
dmn_nbr_out++;
dmn_ids_out[dmn_idx+dmn_in_fst]=dmn_id_lon_out;
dmn_cnt_out[dmn_idx+dmn_in_fst]=lon_nbr;
} /* !flg_grd_2D */
} /* !flg_add_spc_crd */
} /* !dmn_idx */
}else{ /* !flg_rgr */
/* Replicate non-S1D variables */
(void)fprintf(stdout,"%s: DEBUG quark5\n",nco_prg_nm_get());
rcd=nco_inq_vardimid(in_id,var_id_in,dmn_ids_in);
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
rcd=nco_inq_dimname(in_id,dmn_ids_in[dmn_idx],dmn_nm);
rcd=nco_inq_dimid_flg(out_id,dmn_nm,dmn_ids_out+dmn_idx);
if(rcd != NC_NOERR){
rcd=nco_inq_dimlen(in_id,dmn_ids_in[dmn_idx],dmn_cnt_out+dmn_idx);
/* Check-for and, if found, retain record dimension property */
for(int dmn_rec_idx=0;dmn_rec_idx < dmn_nbr_rec;dmn_rec_idx++)
if(dmn_ids_in[dmn_idx] == dmn_ids_rec[dmn_rec_idx])
dmn_cnt_out[dmn_idx]=NC_UNLIMITED;
rcd=nco_def_dim(out_id,dmn_nm,dmn_cnt_out[dmn_idx],dmn_ids_out+dmn_idx);
} /* !rcd */
} /* !dmn_idx */
} /* !flg_rgr */
(void)fprintf(stdout,"%s: DEBUG quark6 defining %s...\n",nco_prg_nm_get(),var_nm);
rcd=nco_def_var(out_id,var_nm,var_typ,dmn_nbr_out,dmn_ids_out,&var_id_out);
(void)fprintf(stdout,"%s: DEBUG quark7 defined %s\n",nco_prg_nm_get(),var_nm);
/* Duplicate netCDF4 settings when possible */
if(fl_out_fmt == NC_FORMAT_NETCDF4 || fl_out_fmt == NC_FORMAT_NETCDF4_CLASSIC){
/* Deflation */
if(dmn_nbr_out > 0){
int dfl_lvl_in; /* [enm] Deflate level [0..9] */
rcd=nco_inq_var_deflate(in_id,var_id_in,&shuffle,&deflate,&dfl_lvl_in);
/* Before netCDF 4.8.0, nco_def_var_deflate() could be called multiple times
Properties of final invocation before nc_enddef() would take effect
After netCDF 4.8.0 first instance of nco_def_var_deflate() takes effect */
if((deflate || shuffle) && dfl_lvl < 0){
/* Copy original filters if user did not explicity set dfl_lvl for output */
(void)nco_def_var_deflate(out_id,var_id_out,shuffle,deflate,dfl_lvl_in);
}else if(dfl_lvl >= 0){
/* Overwrite HDF Lempel-Ziv compression level, if requested */
deflate=(int)True;
/* Turn-off shuffle when uncompressing otherwise chunking requests may fail */
if(dfl_lvl <= 0) shuffle=NC_NOSHUFFLE;
/* Shuffle never, to my knowledge, increases filesize, so shuffle by default when manually deflating (and do not shuffle when uncompressing) */
if(dfl_lvl > 0) shuffle=NC_SHUFFLE;
(void)nco_def_var_deflate(out_id,var_id_out,shuffle,deflate,dfl_lvl);
} /* !dfl_lvl */
} /* !dmn_nbr_out */
} /* !NC_FORMAT_NETCDF4 */
(void)nco_att_cpy(in_id,out_id,var_id_in,var_id_out,PCK_ATT_CPY);
/* Variables with subterranean levels and missing-value extrapolation must have _FillValue attribute */
(void)fprintf(stdout,"%s: DEBUG quark8\n",nco_prg_nm_get());
nco_bool flg_add_msv_att; /* [flg] Extrapolation requires _FillValue */
flg_add_msv_att=False;
if(flg_add_msv_att && trv.flg_rgr){
has_mss_val=nco_mss_val_get_dbl(in_id,var_id_in,&mss_val_dbl);
if(!has_mss_val){
nco_bool flg_att_chg; /* [flg] _FillValue attribute was written */
aed_mtd_fll_val.var_nm=var_nm;
aed_mtd_fll_val.id=var_id_out;
aed_mtd_fll_val.type=var_typ;
if(var_typ == NC_FLOAT) aed_mtd_fll_val.val.fp=&mss_val_flt;
else if(var_typ == NC_DOUBLE) aed_mtd_fll_val.val.dp=&mss_val_dbl;
flg_att_chg=nco_aed_prc(out_id,var_id_out,aed_mtd_fll_val);
if(!flg_att_chg && nco_dbg_lvl_get() >= nco_dbg_std) (void)fprintf(stdout,"%s: WARNING %s reports unsuccessful attempt to create _FillValue attribute for variable %s\n",nco_prg_nm_get(),fnc_nm,var_nm);
} /* !has_mss_val */
} /* !flg_add_msv_att */
} /* !rcd */
} /* !var */
} /* end idx_tbl */
(void)fprintf(stdout,"%s: DEBUG quark9\n",nco_prg_nm_get());
/* Turn-off default filling behavior to enhance efficiency */
nco_set_fill(out_id,NC_NOFILL,&fll_md_old);
/* Begin data mode */
(void)nco_enddef(out_id);
/* Copy coordinate system before closing template file
NB: nco_cpy_var_val() cannot be used here when coordinates are in fl_tpl not fl_in */
(void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lat_nm_in,(lmt_sct *)NULL,(int)0);
(void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lon_nm_in,(lmt_sct *)NULL,(int)0);
if(flg_lat_bnd_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lat_bnd_nm,(lmt_sct *)NULL,(int)0);
if(flg_lon_bnd_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,lon_bnd_nm,(lmt_sct *)NULL,(int)0);
if(flg_sgs_frc_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,sgs_frc_nm,(lmt_sct *)NULL,(int)0);
if(flg_sgs_msk_out) (void)nco_cpy_var_val_lmt(hrz_id,out_id,(FILE *)NULL,sgs_msk_nm,(lmt_sct *)NULL,(int)0);
if(flg_grd_tpl){
nco_bool RM_RMT_FL_PST_PRC=True; /* Option R */
/* No further access to template file, close it */
nco_close(tpl_id);
/* Remove local copy of file */
if(FL_RTR_RMT_LCN && RM_RMT_FL_PST_PRC) (void)nco_fl_rm(fl_tpl);
} /* !flg_grd_tpl */
/* Free pre-allocated array space */
if(dmn_ids_in) dmn_ids_in=(int *)nco_free(dmn_ids_in);
if(dmn_ids_out) dmn_ids_out=(int *)nco_free(dmn_ids_out);
if(dmn_ids_rec) dmn_ids_rec=(int *)nco_free(dmn_ids_rec);
if(dmn_srt) dmn_srt=(long *)nco_free(dmn_srt);
if(dmn_cnt_in) dmn_cnt_in=(long *)nco_free(dmn_cnt_in);
if(dmn_cnt_out) dmn_cnt_out=(long *)nco_free(dmn_cnt_out);
/* Unpack and copy data from input file */
//int dmn_idx_col=int_CEWI; /* [idx] Index of column dimension */
//int dmn_idx_lat=int_CEWI; /* [idx] Index of latitude dimension */
//int dmn_idx_lon=int_CEWI; /* [idx] Index of longitude dimension */
int thr_idx; /* [idx] Thread index */
//int var_id; /* [id] Current variable ID */
size_t var_sz_in; /* [nbr] Number of elements in variable (will be self-multiplied) */
size_t var_sz_out; /* [nbr] Number of elements in variable (will be self-multiplied) */
ptr_unn var_val_in;
ptr_unn var_val_out;
/* Using naked stdin/stdout/stderr in parallel region generates warning
Copy appropriate filehandle to variable scoped as shared in parallel clause */
FILE * const fp_stdout=stdout; /* [fl] stdout filehandle CEWI */
#ifdef __GNUG__
# pragma omp parallel for firstprivate(var_val_in,var_val_out) private(dmn_cnt_in,dmn_cnt_out,dmn_ids_in,dmn_ids_out,dmn_idx,dmn_nbr_in,dmn_nbr_out,dmn_nbr_max,dmn_nm,dmn_srt,has_clm,has_grd,has_lnd,has_pft,has_mss_val,idx_out,idx_tbl,in_id,mss_val_dbl,rcd,thr_idx,trv,var_id_in,var_id_out,var_nm,var_sz_in,var_sz_out,var_typ) shared(dmn_id_clm_in,dmn_id_clm_out,dmn_id_col_in,dmn_id_col_out,dmn_id_lat_in,dmn_id_lat_out,dmn_id_lnd_in,dmn_id_lnd_out,dmn_id_lon_in,dmn_id_lon_out,dmn_id_pft_in,dmn_id_pft_out,flg_s1d_clm,flg_s1d_pft,clm_nbr_in,clm_nbr_out,col_nbr,lat_nbr,lnd_nbr_in,lnd_nbr_out,lon_nbr,pft_nbr_in,pft_nbr_out,out_id,pfts1d_ixy,pfts1d_jxy)
#endif /* !__GNUG__ */
for(idx_tbl=0;idx_tbl<trv_nbr;idx_tbl++){
trv=trv_tbl->lst[idx_tbl];
thr_idx=omp_get_thread_num();
in_id=trv_tbl->in_id_arr[thr_idx];
#ifdef _OPENMP
if(nco_dbg_lvl_get() >= nco_dbg_grp && !thr_idx && !idx_tbl) (void)fprintf(fp_stdout,"%s: INFO %s reports regrid loop uses %d thread%s\n",nco_prg_nm_get(),fnc_nm,omp_get_num_threads(),(omp_get_num_threads() > 1) ? "s" : "");
if(nco_dbg_lvl_get() >= nco_dbg_var) (void)fprintf(fp_stdout,"%s: INFO thread = %d, idx_tbl = %d, nm = %s\n",nco_prg_nm_get(),thr_idx,idx_tbl,trv.nm);
#endif /* !_OPENMP */
if(trv.nco_typ == nco_obj_typ_var && trv.flg_xtr){
if(nco_dbg_lvl_get() >= nco_dbg_var) (void)fprintf(fp_stdout,"%s%s ",trv.flg_rgr ? "#" : "~",trv.nm);
if(trv.flg_rgr){
/* Unpack variable */
var_nm=trv.nm;
var_typ=trv.var_typ; /* NB: Output type in file is same as input type */
var_sz_in=1L;
var_sz_out=1L;
rcd=nco_inq_varid(in_id,var_nm,&var_id_in);
rcd=nco_inq_varid(out_id,var_nm,&var_id_out);
rcd=nco_inq_varndims(in_id,var_id_in,&dmn_nbr_in);
rcd=nco_inq_varndims(out_id,var_id_out,&dmn_nbr_out);
dmn_nbr_max= dmn_nbr_in > dmn_nbr_out ? dmn_nbr_in : dmn_nbr_out;
dmn_ids_in=(int *)nco_malloc(dmn_nbr_in*sizeof(int));
dmn_ids_out=(int *)nco_malloc(dmn_nbr_out*sizeof(int));
dmn_srt=(long *)nco_malloc(dmn_nbr_max*sizeof(long)); /* max() for both input and output grids */
dmn_cnt_in=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
dmn_cnt_out=(long *)nco_malloc(dmn_nbr_max*sizeof(long));
rcd=nco_inq_vardimid(in_id,var_id_in,dmn_ids_in);
rcd=nco_inq_vardimid(out_id,var_id_out,dmn_ids_out);
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
rcd=nco_inq_dimlen(in_id,dmn_ids_in[dmn_idx],dmn_cnt_in+dmn_idx);
var_sz_in*=dmn_cnt_in[dmn_idx];
dmn_srt[dmn_idx]=0L;
} /* !dmn_idx */
for(dmn_idx=0;dmn_idx<dmn_nbr_out;dmn_idx++){
rcd=nco_inq_dimlen(out_id,dmn_ids_out[dmn_idx],dmn_cnt_out+dmn_idx);
if(dmn_cnt_out[dmn_idx] == 0L){
/* No records have been written, so overwrite zero output record size with input record size */
char dmn_rec_nm[NC_MAX_NAME]; /* [sng] Record dimension name */
int dmn_rec_id_in;
rcd=nco_inq_dimname(out_id,dmn_ids_out[dmn_idx],dmn_rec_nm);
rcd=nco_inq_dimid(in_id,dmn_rec_nm,&dmn_rec_id_in);
rcd=nco_inq_dimlen(in_id,dmn_rec_id_in,dmn_cnt_out+dmn_idx);
} /* !dmn_cnt_out */
var_sz_out*=dmn_cnt_out[dmn_idx];
dmn_srt[dmn_idx]=0L;
} /* !dmn_idx */
var_val_in.vp=(void *)nco_malloc_dbg(var_sz_in*nco_typ_lng(var_typ),fnc_nm,"Unable to malloc() input value buffer");
var_val_out.vp=(void *)nco_malloc_dbg(var_sz_out*nco_typ_lng(var_typ),fnc_nm,"Unable to malloc() output value buffer");
/* Initialize output */
(void)memset(var_val_out.vp,0,var_sz_out*nco_typ_lng(var_typ));
/* Obtain input variable */
rcd=nco_get_vara(in_id,var_id_in,dmn_srt,dmn_cnt_in,var_val_in.vp,var_typ);
has_clm=has_grd=has_lnd=has_pft=False;
nco_s1d_typ=nco_s1d_nil;
for(dmn_idx=0;dmn_idx<dmn_nbr_in;dmn_idx++){
dmn_nm_cp=trv.var_dmn[dmn_idx].dmn_nm;
if(!has_clm && clm_nm_in) has_clm=!strcmp(dmn_nm_cp,clm_nm_in);
if(!has_grd && grd_nm_in) has_grd=!strcmp(dmn_nm_cp,grd_nm_in);
if(!has_lnd && lnd_nm_in) has_lnd=!strcmp(dmn_nm_cp,lnd_nm_in);
if(!has_pft && pft_nm_in) has_pft=!strcmp(dmn_nm_cp,pft_nm_in);
} /* !dmn_idx */
if(has_clm) nco_s1d_typ=nco_s1d_clm;
else if(has_grd) nco_s1d_typ=nco_s1d_grd;
else if(has_lnd) nco_s1d_typ=nco_s1d_lnd;
else if(has_pft) nco_s1d_typ=nco_s1d_pft;
else{
(void)fprintf(stderr,"%s: ERROR %s reports variable %s does not appear to be sparse\n",nco_prg_nm_get(),fnc_nm,var_nm);
nco_exit(EXIT_FAILURE);
} /* !strstr() */
if(nco_dbg_lvl_get() >= nco_dbg_std){
(void)fprintf(stderr,"%s: INFO %s reports variable %s is sparse type %s\n",nco_prg_nm_get(),fnc_nm,var_nm,nco_s1d_sng(nco_s1d_typ));
} /* !dbg */
/* The Hard Work */
if(nco_s1d_typ == nco_s1d_pft){
/* Turn GPP(time,pft) into GPP(time,pft,lndgrid) */
for(pft_idx=0;pft_idx<pft_nbr_in;pft_idx++){
pft_typ=pfts1d_ityp_veg[pft_idx]; /* [1 <= pft_typ <= pft_nbr_out] */
/* Skip bare ground, output array contains only vegetated types */
if(!pft_typ) continue;
/* grd_idx is the index relative to the origin of the horizontal grid for a given level
[0 <= grd_idx_out <= col_nbr_out-1L], [1 <= pfts1d_ixy <= col_nbr_out] */
grd_idx_out= flg_grd_1D ? pfts1d_ixy[pft_idx]-1L : (pfts1d_ixy[pft_idx]-1L)*lat_nbr+(pfts1d_jxy[pft_idx]-1L);
idx_out=(pft_typ-1)*grd_sz_out+grd_idx_out;
/* memcpy() would allow next statement to work for generic types
However, memcpy() is a system call and could be expensive in an innermost loop */
switch(var_typ){
case NC_FLOAT: var_val_out.fp[idx_out]=var_val_in.fp[pft_idx]; break;
case NC_DOUBLE: var_val_out.dp[idx_out]=var_val_in.dp[pft_idx]; break;
case NC_INT: var_val_out.ip[idx_out]=var_val_in.ip[pft_idx]; break;
default:
(void)fprintf(fp_stdout,"%s: ERROR %s reports unsupported type\n",nco_prg_nm_get(),fnc_nm);
nco_dfl_case_nc_type_err();
break;
} /* !var_typ */
} /* !idx */
} /* !nco_s1d_typ */
#pragma omp critical
{ /* begin OpenMP critical */
rcd=nco_put_vara(out_id,var_id_out,dmn_srt,dmn_cnt_out,var_val_out.vp,var_typ);
} /* end OpenMP critical */
if(dmn_ids_in) dmn_ids_in=(int *)nco_free(dmn_ids_in);
if(dmn_ids_out) dmn_ids_out=(int *)nco_free(dmn_ids_out);
if(dmn_srt) dmn_srt=(long *)nco_free(dmn_srt);
if(dmn_cnt_in) dmn_cnt_in=(long *)nco_free(dmn_cnt_in);
if(dmn_cnt_out) dmn_cnt_out=(long *)nco_free(dmn_cnt_out);
if(var_val_in.vp) var_val_in.vp=(void *)nco_free(var_val_in.vp);
if(var_val_out.vp) var_val_out.vp=(void *)nco_free(var_val_out.vp);
}else{ /* !trv.flg_rgr */
/* Use standard NCO copy routine for variables that are not regridded
20190511: Copy them only once */
#pragma omp critical
{ /* begin OpenMP critical */
(void)nco_cpy_var_val(in_id,out_id,(FILE *)NULL,(md5_sct *)NULL,trv.nm,trv_tbl);
} /* end OpenMP critical */
} /* !flg_rgr */
} /* !xtr */
} /* end (OpenMP parallel for) loop over idx_tbl */
if(nco_dbg_lvl_get() >= nco_dbg_var) (void)fprintf(stdout,"\n");
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(stdout,"%s: INFO %s completion report: Variables interpolated = %d, copied unmodified = %d, omitted = %d, created = %d\n",nco_prg_nm_get(),fnc_nm,var_rgr_nbr,var_cpy_nbr,var_xcl_nbr,var_crt_nbr);
/* Free output data memory */
if(cols1d_ityp) cols1d_ityp=(int *)nco_free(cols1d_ityp);
if(cols1d_ityplun) cols1d_ityplun=(int *)nco_free(cols1d_ityplun);
if(pfts1d_ityp_veg) pfts1d_ityp_veg=(int *)nco_free(pfts1d_ityp_veg);
if(pfts1d_ityplun) pfts1d_ityplun=(int *)nco_free(pfts1d_ityplun);
if(pfts1d_ixy) pfts1d_ixy=(int *)nco_free(pfts1d_ixy);
if(pfts1d_jxy) pfts1d_jxy=(int *)nco_free(pfts1d_jxy);
//if(pfts1d_wtgcell) pfts1d_wtgcell=(double *)nco_free(pfts1d_wtgcell);
if(clm_nm_in) clm_nm_in=(char *)nco_free(clm_nm_in);
if(grd_nm_in) grd_nm_in=(char *)nco_free(grd_nm_in);
if(lnd_nm_in) lnd_nm_in=(char *)nco_free(lnd_nm_in);
if(pft_nm_in) pft_nm_in=(char *)nco_free(pft_nm_in);
if(clm_nm_out) clm_nm_out=(char *)nco_free(clm_nm_out);
if(grd_nm_out) grd_nm_out=(char *)nco_free(grd_nm_out);
if(lnd_nm_out) lnd_nm_out=(char *)nco_free(lnd_nm_out);
if(pft_nm_out) pft_nm_out=(char *)nco_free(pft_nm_out);
return rcd;
} /* !nco_s1d_unpack() */
|
dgemm_1_save.c | #define max(a,b) (((a) < (b))? (b) : (a))
#define min(a,b) (((a) < (b))? (a) : (b))
#define _TH_1 2
#include <omp.h>
void dgemm_1(const int M,const int n,const int K,const double alpha,const double* a,const int lda,const double* b,const int ldb,const double beta,double* c,const int ldc) {
int i;int j;int k;
int j_bk_1;
int j_bk_2;
int i_bk_3;
int k_bk_4;
double _c_cp_0_0;
double _c_cp_1_0;
double _c_cp_2_0;
double _c_cp_3_0;
double _a_cp_0_0;
omp_set_num_threads(_TH_1);
#pragma omp parallel
{
/*@;BEGIN(Nest2_group3=Nest)@*/#pragma omp for private(j,i,k,j_bk_1,j_bk_2,i_bk_3,k_bk_4,_c_cp_0_0,_c_cp_1_0,_c_cp_2_0,_c_cp_3_0,_a_cp_0_0)
for (j_bk_1=0; j_bk_1<n; j_bk_1+=256)
{
/*@;BEGIN(Nest2_group2=Nest)@*/for (j_bk_2=0; j_bk_2<-31+min(256,n-j_bk_1); j_bk_2+=32)
{
for (i_bk_3=0; i_bk_3<-31+n; i_bk_3+=32)
{
if ((k_bk_4=0)<-31+n)
{
for (j=0; j<32; j+=4)
{
for (i=0; i<32; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))];
_c_cp_2_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))];
_c_cp_3_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))];
k = 0;
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = beta*_c_cp_0_0;
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = beta*_c_cp_1_0;
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = beta*_c_cp_2_0;
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = beta*_c_cp_3_0;
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
}
for (k=4; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))] = _c_cp_1_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))] = _c_cp_2_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))] = _c_cp_3_0;
}
}
}
for (k_bk_4=32; k_bk_4<-31+n; k_bk_4+=32)
{
/*@;BEGIN(Nest2=Nest)@*/for (j=0; j<32; j+=4)
{
/*@;BEGIN(Nest4=Nest)@*/for (i=0; i<32; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))];
_c_cp_2_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))];
_c_cp_3_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))];
/*@;BEGIN(Nest3=Nest)@*/for (k=0; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))] = _c_cp_1_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))] = _c_cp_2_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))] = _c_cp_3_0;
}
}
}
if (k_bk_4<n)
{
for (j=0; j<32; j+=4)
{
for (i=0; i<32; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))];
_c_cp_2_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))];
_c_cp_3_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))];
for (k=0; k<n-k_bk_4; k+=1)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))] = _c_cp_1_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))] = _c_cp_2_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))] = _c_cp_3_0;
}
}
}
}
if (i_bk_3<n)
{
if ((k_bk_4=0)<-31+n)
{
for (j=0; j<32; j+=4)
{
for (i=0; i<n-i_bk_3; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))];
_c_cp_2_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))];
_c_cp_3_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))];
k = 0;
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = beta*_c_cp_0_0;
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = beta*_c_cp_1_0;
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = beta*_c_cp_2_0;
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = beta*_c_cp_3_0;
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
}
for (k=4; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))] = _c_cp_1_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))] = _c_cp_2_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))] = _c_cp_3_0;
}
}
}
for (k_bk_4=32; k_bk_4<-31+n; k_bk_4+=32)
{
for (j=0; j<32; j+=4)
{
for (i=0; i<n-i_bk_3; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))];
_c_cp_2_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))];
_c_cp_3_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))];
for (k=0; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k)))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[j*n+(n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[j*n+(2*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[j*n+(3*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k)))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))] = _c_cp_1_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))] = _c_cp_2_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))] = _c_cp_3_0;
}
}
}
if (k_bk_4<n)
{
for (j=0; j<32; j+=4)
{
for (i=0; i<n-i_bk_3; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))];
_c_cp_2_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))];
_c_cp_3_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))];
for (k=0; k<n-k_bk_4; k+=1)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_c_cp_1_0 = _c_cp_1_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(n+j*n))))];
_c_cp_2_0 = _c_cp_2_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(2*n+j*n))))];
_c_cp_3_0 = _c_cp_3_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+(3*n+j*n))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+n))))] = _c_cp_1_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+2*n))))] = _c_cp_2_0;
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+(j*n+3*n))))] = _c_cp_3_0;
}
}
}
}
}
if (j_bk_2<min(256,n-j_bk_1))
{
for (i_bk_3=0; i_bk_3<-31+n; i_bk_3+=32)
{
if ((k_bk_4=0)<-31+n)
{
for (j=0; j<min(256-j_bk_2,-j_bk_2+(n-j_bk_1)); j+=1)
{
for (i=0; i<32; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
k = 0;
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = beta*_c_cp_0_0;
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
}
for (k=4; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
}
}
}
for (k_bk_4=32; k_bk_4<-31+n; k_bk_4+=32)
{
for (j=0; j<min(256-j_bk_2,-j_bk_2+(n-j_bk_1)); j+=1)
{
for (i=0; i<32; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
for (k=0; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
}
}
}
if (k_bk_4<n)
{
for (j=0; j<min(256-j_bk_2,-j_bk_2+(n-j_bk_1)); j+=1)
{
for (i=0; i<32; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
for (k=0; k<n-k_bk_4; k+=1)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
}
}
}
}
if (i_bk_3<n)
{
if ((k_bk_4=0)<-31+n)
{
for (j=0; j<min(256-j_bk_2,-j_bk_2+(n-j_bk_1)); j+=1)
{
for (i=0; i<n-i_bk_3; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
k = 0;
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = beta*_c_cp_0_0;
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
}
for (k=4; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
}
}
}
for (k_bk_4=32; k_bk_4<-31+n; k_bk_4+=32)
{
for (j=0; j<min(256-j_bk_2,-j_bk_2+(n-j_bk_1)); j+=1)
{
for (i=0; i<n-i_bk_3; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
for (k=0; k<32; k+=4)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(1+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(2*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(2+k))))];
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+(3*n+k*n)))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[j*n+(j_bk_2*n+(j_bk_1*n+(k_bk_4+(3+k))))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
}
}
}
if (k_bk_4<n)
{
for (j=0; j<min(256-j_bk_2,-j_bk_2+(n-j_bk_1)); j+=1)
{
for (i=0; i<n-i_bk_3; i+=1)
{
_c_cp_0_0 = c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))];
for (k=0; k<n-k_bk_4; k+=1)
{
_a_cp_0_0 = a[i+(i_bk_3+(k_bk_4*n+k*n))];
_c_cp_0_0 = _c_cp_0_0+_a_cp_0_0*b[k+(k_bk_4+(j_bk_1*n+(j_bk_2*n+j*n)))];
}
c[i+(i_bk_3+(j_bk_1*n+(j_bk_2*n+j*n)))] = _c_cp_0_0;
}
}
}
}
}
}
}
}
|
data_share1.c | #include <stdio.h>
#include <omp.h>
/*
* In case of non-SPMD mode the local variables will be assigned to global memory
* but in other case the the local variable will be allocated to local addrspace.
*/
int Print(int num) {
int arr[256];
int c = num * 2;
int tid = omp_get_thread_num();
printf("[%d]> num * 2 = %d, %p, %p\n", tid,c, &arr[1], &c);
return c;
}
int main()
{
#pragma omp target
#pragma omp parallel for
for (int i = 0; i < 10; i++)
{
int num = omp_get_thread_num();
printf ("[%d] Pointer: %p; Print: %d\n", num, &num, Print(num));
}
return 0;
}
|
algebraic_flux_corrected_steady_scalar_scheme.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ `
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Suneth Warnakulasuriya
//
#if !defined(KRATOS_ALGEBRAIC_FLUX_CORRECTED_SCALAR_STEADY_SCHEME)
#define KRATOS_ALGEBRAIC_FLUX_CORRECTED_SCALAR_STEADY_SCHEME
// Project includes
#include "includes/define.h"
#include "includes/model_part.h"
#include "solving_strategies/schemes/scheme.h"
#include "utilities/openmp_utils.h"
#include "utilities/parallel_utilities.h"
// Application includes
#include "custom_strategies/relaxed_dof_updater.h"
#include "rans_application_variables.h"
namespace Kratos
{
///@name Kratos Classes
///@{
/**
* @brief Algebraic flux corrected scalar steady transport scheme.
*
* This scheme is based on following publication.
*
* D. Kuzmin, Algebraic flux correction for finite element discretizations of coupled systems,
* Computational Methods for Coupled Problems in Science and Engineering II, CIMNE,
* Barcelona, (2007), pp. 653–656.
*
* This scheme can only be used to solve steady state problems with with elements derrived
* from ConvectionDiffusionReactionElement.
*
* @tparam TSparseSpace Sparse space type
* @tparam TDenseSpace Dense space type
*
* @see ConvectionDiffusionReactionElement
*/
template <class TSparseSpace, class TDenseSpace>
class AlgebraicFluxCorrectedSteadyScalarScheme : public Scheme<TSparseSpace, TDenseSpace>
{
public:
///@name Type Definitions
///@{
KRATOS_CLASS_POINTER_DEFINITION(AlgebraicFluxCorrectedSteadyScalarScheme);
using BaseType = Scheme<TSparseSpace, TDenseSpace>;
using DofsArrayType = typename BaseType::DofsArrayType;
using TSystemMatrixType = typename BaseType::TSystemMatrixType;
using TSystemVectorType = typename BaseType::TSystemVectorType;
using LocalSystemVectorType = typename BaseType::LocalSystemVectorType;
using LocalSystemMatrixType = typename BaseType::LocalSystemMatrixType;
///@}
///@name Life Cycle
///@{
AlgebraicFluxCorrectedSteadyScalarScheme(
const double RelaxationFactor,
const Flags BoundaryFlags)
: BaseType(),
mRelaxationFactor(RelaxationFactor),
mBoundaryFlags(BoundaryFlags),
mrPeriodicIdVar(Variable<int>::StaticObject())
{
KRATOS_INFO("AlgebraicFluxCorrectedSteadyScalarScheme")
<< " Using residual based algebraic flux corrected scheme with "
"relaxation "
"factor = "
<< std::scientific << mRelaxationFactor << "\n";
mpDofUpdater = Kratos::make_unique<DofUpdaterType>(mRelaxationFactor);
}
AlgebraicFluxCorrectedSteadyScalarScheme(
const double RelaxationFactor,
const Flags BoundaryFlags,
const Variable<int>& rPeriodicIdVar)
: BaseType(),
mRelaxationFactor(RelaxationFactor),
mBoundaryFlags(BoundaryFlags),
mrPeriodicIdVar(rPeriodicIdVar)
{
KRATOS_INFO("AlgebraicFluxCorrectedSteadyScalarScheme")
<< " Using periodic residual based algebraic flux corrected scheme "
"with relaxation "
"factor = "
<< std::scientific << mRelaxationFactor << "\n";
mpDofUpdater = Kratos::make_unique<DofUpdaterType>(mRelaxationFactor);
}
~AlgebraicFluxCorrectedSteadyScalarScheme() override = default;
///@}
///@name Operators
///@{
void Initialize(ModelPart& rModelPart) override
{
KRATOS_TRY
BaseType::Initialize(rModelPart);
block_for_each(rModelPart.Nodes(), [&](ModelPart::NodeType& rNode) {
rNode.SetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX, 0.0);
rNode.SetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX, 0.0);
rNode.SetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT, 0.0);
rNode.SetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT, 0.0);
});
if (mrPeriodicIdVar != Variable<int>::StaticObject()) {
block_for_each(rModelPart.Conditions(), [&](const ModelPart::ConditionType& rCondition) {
if (rCondition.Is(PERIODIC)) {
// this only supports 2 noded periodic conditions
KRATOS_ERROR_IF(rCondition.GetGeometry().PointsNumber() != 2)
<< this->Info() << " only supports two noded periodic conditions. Found "
<< rCondition.Info() << " with "
<< rCondition.GetGeometry().PointsNumber() << " nodes.\n";
const auto& r_node_0 = rCondition.GetGeometry()[0];
const std::size_t r_node_0_pair_id =
r_node_0.FastGetSolutionStepValue(mrPeriodicIdVar);
const auto& r_node_1 = rCondition.GetGeometry()[1];
const std::size_t r_node_1_pair_id =
r_node_1.FastGetSolutionStepValue(mrPeriodicIdVar);
KRATOS_ERROR_IF(r_node_0_pair_id != r_node_1.Id())
<< "Periodic condition pair id mismatch in "
<< mrPeriodicIdVar.Name() << ". [ " << r_node_0_pair_id
<< " != " << r_node_1.Id() << " ].\n";
KRATOS_ERROR_IF(r_node_1_pair_id != r_node_0.Id())
<< "Periodic condition pair id mismatch in "
<< mrPeriodicIdVar.Name() << ". [ " << r_node_1_pair_id
<< " != " << r_node_0.Id() << " ].\n";
}
});
}
// Allocate auxiliary memory.
const auto num_threads = OpenMPUtils::GetNumThreads();
mAntiDiffusiveFlux.resize(num_threads);
mAntiDiffusiveFluxCoefficients.resize(num_threads);
mValues.resize(num_threads);
mAuxMatrix.resize(num_threads);
KRATOS_CATCH("");
}
void InitializeNonLinIteration(
ModelPart& rModelPart,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b) override
{
KRATOS_TRY
auto& r_nodes = rModelPart.Nodes();
block_for_each(r_nodes, [&](ModelPart::NodeType& rNode) {
rNode.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX) = 0.0;
rNode.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX) = 0.0;
rNode.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) = 0.0;
rNode.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) = 0.0;
});
auto& r_elements = rModelPart.Elements();
const int number_of_elements = r_elements.size();
const ProcessInfo& r_current_process_info = rModelPart.GetProcessInfo();
#pragma omp parallel
{
Matrix left_hand_side, artificial_diffusion, aux_matrix;
Vector right_hand_side, values;
std::vector<IndexType> equation_ids;
#pragma omp for
for (int i = 0; i < number_of_elements; ++i) {
auto& r_element = *(r_elements.begin() + i);
this->CalculateSystemMatrix<Element>(r_element, left_hand_side,
right_hand_side, aux_matrix,
r_current_process_info);
this->CalculateArtificialDiffusionMatrix(artificial_diffusion, left_hand_side);
r_element.EquationIdVector(equation_ids, r_current_process_info);
r_element.GetValuesVector(values);
const int size = artificial_diffusion.size1();
Vector p_plus = ZeroVector(size);
Vector p_minus = ZeroVector(size);
Vector q_plus = ZeroVector(size);
Vector q_minus = ZeroVector(size);
auto& r_geometry = r_element.GetGeometry();
for (int i = 0; i < size; ++i) {
for (int j = 0; j < size; j++) {
if (i != j) {
const double f_ij = artificial_diffusion(i, j) *
(values[j] - values[i]);
if (left_hand_side(j, i) <= left_hand_side(i, j)) {
p_plus[i] += std::max(0.0, f_ij);
p_minus[i] -= std::max(0.0, -f_ij);
}
if (equation_ids[i] < equation_ids[j]) {
q_plus[i] += std::max(0.0, -f_ij);
q_minus[i] -= std::max(0.0, f_ij);
q_plus[j] += std::max(0.0, f_ij);
q_minus[j] -= std::max(0.0, -f_ij);
}
}
}
}
for (int i = 0; i < size; ++i) {
auto& r_node = r_geometry[i];
r_node.SetLock();
r_node.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX) += p_plus[i];
r_node.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) += q_plus[i];
r_node.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX) += p_minus[i];
r_node.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) += q_minus[i];
r_node.UnSetLock();
}
}
}
if (mrPeriodicIdVar != Variable<int>::StaticObject()) {
block_for_each(rModelPart.Conditions(), [&](ModelPart::ConditionType& rCondition) {
if (rCondition.Is(PERIODIC)) {
auto& r_node_0 = rCondition.GetGeometry()[0];
auto& r_node_1 = rCondition.GetGeometry()[1];
double p_plus = r_node_0.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX);
double q_plus = r_node_0.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
double p_minus = r_node_0.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX);
double q_minus = r_node_0.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
p_plus += r_node_1.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX);
q_plus += r_node_1.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
p_minus += r_node_1.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX);
q_minus += r_node_1.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
r_node_0.SetLock();
r_node_0.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX) = p_plus;
r_node_0.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) = q_plus;
r_node_0.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX) = p_minus;
r_node_0.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) = q_minus;
r_node_0.UnSetLock();
r_node_1.SetLock();
r_node_1.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX) = p_plus;
r_node_1.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) = q_plus;
r_node_1.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX) = p_minus;
r_node_1.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT) = q_minus;
r_node_1.UnSetLock();
}
});
}
Communicator& r_communicator = rModelPart.GetCommunicator();
r_communicator.AssembleNonHistoricalData(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX);
r_communicator.AssembleNonHistoricalData(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
r_communicator.AssembleNonHistoricalData(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX);
r_communicator.AssembleNonHistoricalData(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
KRATOS_CATCH("")
}
void Update(
ModelPart& rModelPart,
DofsArrayType& rDofSet,
TSystemMatrixType& rA,
TSystemVectorType& rDx,
TSystemVectorType& rb) override
{
KRATOS_TRY;
mpDofUpdater->UpdateDofs(rDofSet, rDx);
KRATOS_CATCH("");
}
void Clear() override
{
this->mpDofUpdater->Clear();
}
void CalculateSystemContributions(
Element& rElement,
LocalSystemMatrixType& rLHS_Contribution,
LocalSystemVectorType& rRHS_Contribution,
Element::EquationIdVectorType& rEquationIdVector,
const ProcessInfo& rCurrentProcessInfo) override
{
KRATOS_TRY;
const auto k = OpenMPUtils::ThisThread();
this->CalculateSystemMatrix<Element>(rElement, rLHS_Contribution, rRHS_Contribution,
mAuxMatrix[k], rCurrentProcessInfo);
rElement.EquationIdVector(rEquationIdVector, rCurrentProcessInfo);
this->CalculateArtificialDiffusionMatrix(mAuxMatrix[k], rLHS_Contribution);
AddAntiDiffusiveFluxes(rRHS_Contribution, rLHS_Contribution, rElement,
mAuxMatrix[k]);
noalias(rLHS_Contribution) += mAuxMatrix[k];
rElement.GetValuesVector(mValues[k]);
noalias(rRHS_Contribution) -= prod(rLHS_Contribution, mValues[k]);
KRATOS_CATCH("");
}
void CalculateSystemContributions(
Condition& rCondition,
LocalSystemMatrixType& rLHS_Contribution,
LocalSystemVectorType& rRHS_Contribution,
Element::EquationIdVectorType& rEquationIdVector,
const ProcessInfo& rCurrentProcessInfo) override
{
KRATOS_TRY;
const auto k = OpenMPUtils::ThisThread();
this->CalculateSystemMatrix<Condition>(rCondition, rLHS_Contribution, rRHS_Contribution,
mAuxMatrix[k], rCurrentProcessInfo);
rCondition.EquationIdVector(rEquationIdVector, rCurrentProcessInfo);
KRATOS_CATCH("");
}
void CalculateRHSContribution(
Element& rElement,
LocalSystemVectorType& rRHS_Contribution,
Element::EquationIdVectorType& rEquationIdVector,
const ProcessInfo& rCurrentProcessInfo) override
{
KRATOS_TRY;
const auto k = OpenMPUtils::ThisThread();
CalculateSystemContributions(rElement, mAuxMatrix[k], rRHS_Contribution,
rEquationIdVector, rCurrentProcessInfo);
KRATOS_CATCH("");
}
void CalculateRHSContribution(
Condition& rCondition,
LocalSystemVectorType& rRHS_Contribution,
Condition::EquationIdVectorType& rEquationIdVector,
const ProcessInfo& rCurrentProcessInfo) override
{
KRATOS_TRY;
const auto k = OpenMPUtils::ThisThread();
CalculateSystemContributions(rCondition, mAuxMatrix[k], rRHS_Contribution,
rEquationIdVector, rCurrentProcessInfo);
KRATOS_CATCH("");
}
///@}
protected:
///@name Protected Operators
///@{
///@}
private:
///@name Member Variables
///@{
using DofUpdaterType = RelaxedDofUpdater<TSparseSpace>;
using DofUpdaterPointerType = typename DofUpdaterType::UniquePointer;
DofUpdaterPointerType mpDofUpdater;
double mRelaxationFactor;
const Flags mBoundaryFlags;
const Variable<int>& mrPeriodicIdVar;
std::vector<LocalSystemMatrixType> mAuxMatrix;
std::vector<LocalSystemMatrixType> mAntiDiffusiveFluxCoefficients;
std::vector<LocalSystemMatrixType> mAntiDiffusiveFlux;
std::vector<LocalSystemVectorType> mValues;
/**
* @brief Common method to calculate Element and Condition system matrices
*
* @tparam TItem Type of item (can be ElementType or ConditionType)
* @param rItem Item instance
* @param rLeftHandSide Lefthandside matrix
* @param rRightHandSide Righthandside vector
* @param rAuxMatrix Auxiliary matrix
* @param rCurrentProcessInfo Current process info
*/
template <typename TItem>
void CalculateSystemMatrix(
TItem& rItem,
LocalSystemMatrixType& rLeftHandSide,
LocalSystemVectorType& rRightHandSide,
LocalSystemMatrixType& rAuxMatrix,
const ProcessInfo& rCurrentProcessInfo)
{
KRATOS_TRY
rItem.CalculateLocalSystem(rLeftHandSide, rRightHandSide, rCurrentProcessInfo);
rItem.CalculateLocalVelocityContribution(rAuxMatrix, rRightHandSide, rCurrentProcessInfo);
if (rAuxMatrix.size1() != 0) {
noalias(rLeftHandSide) += rAuxMatrix;
}
KRATOS_CATCH("");
}
/**
* @brief Calculates artificial diffusion matrix for given discretized matrix
*
* @param rOutput Diffusion matrix
* @param rInput Input matrix
*/
void CalculateArtificialDiffusionMatrix(
Matrix& rOutput,
const Matrix& rInput)
{
const IndexType size = rInput.size1();
if (rOutput.size1() != size || rOutput.size2() != size) {
rOutput.resize(size, size, false);
}
rOutput = ZeroMatrix(size, size);
for (IndexType i = 0; i < size; ++i) {
for (IndexType j = i + 1; j < size; ++j) {
rOutput(i, j) = -std::max(std::max(rInput(i, j), rInput(j, i)), 0.0);
rOutput(j, i) = rOutput(i, j);
}
}
for (IndexType i = 0; i < size; ++i) {
double value = 0.0;
for (IndexType j = 0; j < size; ++j) {
value -= rOutput(i, j);
}
rOutput(i, i) = value;
}
}
/**
* @brief Calculates anti-diffusive terms
*
* Diffusion calculated by CalculateArtificialDiffusionMatrix alters original problem. Therefore
* anti-diffusion terms are calculated to cancel diffusion terms where they are not necessary for
* stabilization of the Convection-Diffusion-Reaction scalar equation.
*
* @tparam TItem Item type (can be ElementType or ConditionType)
* @param rRHS Righthandside vector
* @param rLHS Lefthandside matrix
* @param rItem Item instance
* @param rArtificialDiffusion Calculated artificial diffusion
*/
template <typename TItem>
void AddAntiDiffusiveFluxes(
Vector& rRHS,
const Matrix& rLHS,
TItem& rItem,
const Matrix& rArtificialDiffusion)
{
KRATOS_TRY
const auto k = OpenMPUtils::ThisThread();
const auto size = rRHS.size();
auto& r_anti_diffusive_flux_coefficients = mAntiDiffusiveFluxCoefficients[k];
auto& r_anti_diffusive_flux = mAntiDiffusiveFlux[k];
auto& r_values = mValues[k];
rItem.GetValuesVector(r_values);
if (r_anti_diffusive_flux_coefficients.size1() != size ||
r_anti_diffusive_flux_coefficients.size2() != size) {
r_anti_diffusive_flux_coefficients.resize(size, size, false);
}
if (r_anti_diffusive_flux.size1() != size || r_anti_diffusive_flux.size2() != size) {
r_anti_diffusive_flux.resize(size, size, false);
}
noalias(r_anti_diffusive_flux_coefficients) = ZeroMatrix(size, size);
noalias(r_anti_diffusive_flux) = ZeroMatrix(size, size);
for (IndexType i = 0; i < size; ++i) {
const auto& r_node_i = rItem.GetGeometry()[i];
double r_plus_i{0.0}, r_minus_i{0.0};
CalculateAntiDiffusiveFluxR(r_plus_i, r_minus_i, r_node_i);
for (IndexType j = 0; j < size; ++j) {
if (i != j) {
r_anti_diffusive_flux(i, j) =
rArtificialDiffusion(i, j) * (r_values[j] - r_values[i]);
if (rLHS(j, i) <= rLHS(i, j)) {
if (r_anti_diffusive_flux(i, j) > 0.0) {
r_anti_diffusive_flux_coefficients(i, j) = r_plus_i;
} else if (r_anti_diffusive_flux(i, j) < 0.0) {
r_anti_diffusive_flux_coefficients(i, j) = r_minus_i;
} else {
r_anti_diffusive_flux_coefficients(i, j) = 1.0;
}
r_anti_diffusive_flux_coefficients(j, i) =
r_anti_diffusive_flux_coefficients(i, j);
}
}
}
}
for (IndexType i = 0; i < size; ++i) {
for (IndexType j = 0; j < size; ++j) {
rRHS[i] += r_anti_diffusive_flux_coefficients(i, j) *
r_anti_diffusive_flux(i, j);
}
}
KRATOS_CATCH("");
}
/**
* @brief Calculates allowed artifical diffusive fluxes
*
* @param rRPlus Allowed positive fluxes
* @param rRMinus Allowed negative fluxes
* @param rNode Node
*/
void CalculateAntiDiffusiveFluxR(
double& rRPlus,
double& rRMinus,
const ModelPart::NodeType& rNode) const
{
if (rNode.Is(mBoundaryFlags)) {
rRMinus = 1.0;
rRPlus = 1.0;
} else {
const double q_plus = rNode.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
const double p_plus = rNode.GetValue(AFC_POSITIVE_ANTI_DIFFUSIVE_FLUX);
const double q_minus = rNode.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX_LIMIT);
const double p_minus = rNode.GetValue(AFC_NEGATIVE_ANTI_DIFFUSIVE_FLUX);
rRPlus = 1.0;
if (p_plus > 0.0) {
rRPlus = std::min(1.0, q_plus / p_plus);
}
rRMinus = 1.0;
if (p_minus < 0.0) {
rRMinus = std::min(1.0, q_minus / p_minus);
}
}
}
///@}
}; // namespace Kratos
///@}
} // namespace Kratos
#endif /* KRATOS_ALGEBRAIC_FLUX_CORRECTED_SCALAR_STEADY_SCHEME defined */
|
GB_binop__plus_fp64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__plus_fp64)
// A.*B function (eWiseMult): GB (_AemultB_08__plus_fp64)
// A.*B function (eWiseMult): GB (_AemultB_02__plus_fp64)
// A.*B function (eWiseMult): GB (_AemultB_04__plus_fp64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__plus_fp64)
// A*D function (colscale): GB (_AxD__plus_fp64)
// D*A function (rowscale): GB (_DxB__plus_fp64)
// C+=B function (dense accum): GB (_Cdense_accumB__plus_fp64)
// C+=b function (dense accum): GB (_Cdense_accumb__plus_fp64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__plus_fp64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__plus_fp64)
// C=scalar+B GB (_bind1st__plus_fp64)
// C=scalar+B' GB (_bind1st_tran__plus_fp64)
// C=A+scalar GB (_bind2nd__plus_fp64)
// C=A'+scalar GB (_bind2nd_tran__plus_fp64)
// C type: double
// A type: double
// A pattern? 0
// B type: double
// B pattern? 0
// BinaryOp: cij = (aij + bij)
#define GB_ATYPE \
double
#define GB_BTYPE \
double
#define GB_CTYPE \
double
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
double aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
double bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
double t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x + y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_PLUS || GxB_NO_FP64 || GxB_NO_PLUS_FP64)
//------------------------------------------------------------------------------
// 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_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__plus_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__plus_fp64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__plus_fp64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type double
double bwork = (*((double *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__plus_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *restrict Cx = (double *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__plus_fp64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *restrict Cx = (double *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__plus_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
double alpha_scalar ;
double beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((double *) alpha_scalar_in)) ;
beta_scalar = (*((double *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__plus_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__plus_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__plus_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__plus_fp64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__plus_fp64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *Cx = (double *) Cx_output ;
double x = (*((double *) x_input)) ;
double *Bx = (double *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
double bij = GBX (Bx, p, false) ;
Cx [p] = (x + bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__plus_fp64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
double *Cx = (double *) Cx_output ;
double *Ax = (double *) Ax_input ;
double y = (*((double *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
double aij = GBX (Ax, p, false) ;
Cx [p] = (aij + y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x + aij) ; \
}
GrB_Info GB (_bind1st_tran__plus_fp64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
double
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double x = (*((const double *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
double
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij + y) ; \
}
GrB_Info GB (_bind2nd_tran__plus_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double y = (*((const double *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
ast-dump-openmp-teams-distribute-parallel-for-simd.c | // RUN: %clang_cc1 -triple x86_64-unknown-unknown -fopenmp -ast-dump %s | FileCheck --match-full-lines -implicit-check-not=openmp_structured_block %s
void test_one(int x) {
#pragma omp target
#pragma omp teams distribute parallel for simd
for (int i = 0; i < x; i++)
;
}
void test_two(int x, int y) {
#pragma omp target
#pragma omp teams distribute parallel for simd
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_three(int x, int y) {
#pragma omp target
#pragma omp teams distribute parallel for simd collapse(1)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_four(int x, int y) {
#pragma omp target
#pragma omp teams distribute parallel for simd collapse(2)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_five(int x, int y, int z) {
#pragma omp target
#pragma omp teams distribute parallel for simd collapse(2)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
for (int i = 0; i < z; i++)
;
}
// CHECK: TranslationUnitDecl {{.*}} <<invalid sloc>> <invalid sloc>
// CHECK: |-FunctionDecl {{.*}} <{{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:3:1, line:8:1> line:3:6 test_one 'void (int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:15, col:19> col:19 used x 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:22, line:8:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:4:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:6:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:5:1, col:47>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:47>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <col:1, col:47>
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:4:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:5:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-CapturedStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | |-ForStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <col:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:4:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <line:5:1, col:47>
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:4:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:5:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <col:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:10:1, line:16:1> line:10:6 test_two 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:15, col:19> col:19 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:22, col:26> col:26 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:29, line:16:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:11:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:12:1, col:47>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:47>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <col:1, col:47>
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:11:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:11:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:12:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:13:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:11:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:11:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <line:12:1, col:47>
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:11:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:11:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:12:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:13:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:18:1, line:24:1> line:18:6 test_three 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:17, col:21> col:21 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:24, col:28> col:28 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:31, line:24:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:19:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:20:1, col:59>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:59>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <col:1, col:59>
// CHECK-NEXT: | | | | | |-OMPCollapseClause {{.*}} <col:48, col:58>
// CHECK-NEXT: | | | | | | `-ConstantExpr {{.*}} <col:57> 'int'
// CHECK-NEXT: | | | | | | |-value: Int 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:57> 'int' 1
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:19:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:19:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:20:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:21:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:19:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:19:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <line:20:1, col:59>
// CHECK-NEXT: | | | |-OMPCollapseClause {{.*}} <col:48, col:58>
// CHECK-NEXT: | | | | `-ConstantExpr {{.*}} <col:57> 'int'
// CHECK-NEXT: | | | | |-value: Int 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:57> 'int' 1
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:19:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:19:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:20:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:21:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:26:1, line:32:1> line:26:6 test_four 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:16, col:20> col:20 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:23, col:27> col:27 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:30, line:32:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:27:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:28:1, col:59>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:59>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <col:1, col:59>
// CHECK-NEXT: | | | | | |-OMPCollapseClause {{.*}} <col:48, col:58>
// CHECK-NEXT: | | | | | | `-ConstantExpr {{.*}} <col:57> 'int'
// CHECK-NEXT: | | | | | | |-value: Int 2
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:57> 'int' 2
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:27:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:27:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:28:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:29:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:30:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <line:29:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, line:30:28> 'long' '*'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <line:29:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <line:30:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:27:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:27:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <line:28:1, col:59>
// CHECK-NEXT: | | | |-OMPCollapseClause {{.*}} <col:48, col:58>
// CHECK-NEXT: | | | | `-ConstantExpr {{.*}} <col:57> 'int'
// CHECK-NEXT: | | | | |-value: Int 2
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:57> 'int' 2
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:27:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:27:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:28:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:29:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:30:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <line:29:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, line:30:28> 'long' '*'
// CHECK-NEXT: | | | |-ImplicitCastExpr {{.*}} <line:29:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <line:30:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: `-FunctionDecl {{.*}} <line:34:1, line:41:1> line:34:6 test_five 'void (int, int, int)'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:16, col:20> col:20 used x 'int'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:23, col:27> col:27 used y 'int'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:30, col:34> col:34 used z 'int'
// CHECK-NEXT: `-CompoundStmt {{.*}} <col:37, line:41:1>
// CHECK-NEXT: `-OMPTargetDirective {{.*}} <line:35:1, col:19>
// CHECK-NEXT: |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: `-CapturedStmt {{.*}} <line:36:1, col:59>
// CHECK-NEXT: |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-CapturedStmt {{.*}} <col:1, col:59>
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <col:1, col:59>
// CHECK-NEXT: | | | | |-OMPCollapseClause {{.*}} <col:48, col:58>
// CHECK-NEXT: | | | | | `-ConstantExpr {{.*}} <col:57> 'int'
// CHECK-NEXT: | | | | | |-value: Int 2
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:57> 'int' 2
// CHECK-NEXT: | | | | `-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:35:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:35:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <line:36:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | |-OMPCapturedExprDecl {{.*}} <line:37:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-OMPCapturedExprDecl {{.*}} <line:38:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | `-OMPCapturedExprDecl {{.*}} <line:37:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:3, line:38:28> 'long' '*'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <line:37:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <line:38:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:35:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:35:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int'
// CHECK-NEXT: | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-OMPTeamsDistributeParallelForSimdDirective {{.*}} <line:36:1, col:59>
// CHECK-NEXT: | | |-OMPCollapseClause {{.*}} <col:48, col:58>
// CHECK-NEXT: | | | `-ConstantExpr {{.*}} <col:57> 'int'
// CHECK-NEXT: | | | |-value: Int 2
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:57> 'int' 2
// CHECK-NEXT: | | `-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:35:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:35:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <line:36:1> col:1 implicit struct definition
// CHECK-NEXT: | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-teams-distribute-parallel-for-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | |-OMPCapturedExprDecl {{.*}} <line:37:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | |-OMPCapturedExprDecl {{.*}} <line:38:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-OMPCapturedExprDecl {{.*}} <line:37:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | |-BinaryOperator {{.*}} <col:3, line:38:28> 'long' '*'
// CHECK-NEXT: | | |-ImplicitCastExpr {{.*}} <line:37:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <line:38:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
|
memdbg.h | /*
* Based on John the Ripper and modified to integrate with aircrack
*
* John the Ripper copyright and license.
*
* John the Ripper password cracker,
* Copyright (c) 1996-2013 by Solar Designer.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program 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.
*
* As a special exception to the GNU General Public License terms,
* permission is hereby granted to link the code of this program, with or
* without modification, with any version of the OpenSSL library and/or any
* version of unRAR, and to distribute such linked combinations. You must
* obey the GNU GPL in all respects for all of the code used other than
* OpenSSL and unRAR. If you modify this program, you may extend this
* exception to your version of the program, but you are not obligated to
* do so. (In other words, you may release your derived work under pure
* GNU GPL version 2 or later as published by the FSF.)
*
* (This exception from the GNU GPL is not required for the core tree of
* John the Ripper, but arguably it is required for -jumbo.)
*
* Relaxed terms for certain components.
*
* In addition or alternatively to the license above, many components are
* available to you under more relaxed terms (most commonly under cut-down
* BSD license) as specified in the corresponding source files.
*
* For more information on John the Ripper licensing please visit:
*
* http://www.openwall.com/john/doc/LICENSE.shtml
*
* This header file should be the LAST header file included within every
* .c file within the project. If there are .h files that have actual
* code in them, then this header should be the last include within that
* .h file, and that .h file should be the last one included within the
* .c file.
* ****** NOTE *****
*/
#if !defined(__MEM_DBG_H_)
#define __MEM_DBG_H_
// values to use within the MemDbg_Validate() function.
#define MEMDBG_VALIDATE_MIN 0
#define MEMDBG_VALIDATE_DEEP 1
#define MEMDBG_VALIDATE_DEEPER 2
#define MEMDBG_VALIDATE_DEEPEST 3
#include <stdio.h>
#include <stdlib.h>
#if (!AC_BUILT || HAVE_UNISTD_H) && !_MSC_VER
#include <unistd.h>
#endif
#include <string.h>
#if defined(MEMDBG_ON)
/*
* This software was written by Jim Fougeron jfoug AT cox dot net
* in 2013. No copyright is claimed, and the software is hereby
* placed in the public domain. In case this attempt to disclaim
* copyright and place the software in the public domain is deemed
* null and void, then the software is Copyright (c) 2013 Jim Fougeron
* and it is hereby released to the general public under the following
* terms:
*
* This software may be modified, redistributed, and used for any
* purpose, in source and binary forms, with or without modification.
*/
/*
* memdbg.h
* Memory management debugging (at runtime)
*
* memdbg contains routines detect, and report memory
* problems, such as double frees, passing bad pointers to
* free, most buffer overwrites. Also, tracking of non-freed
* data, showing memory leaks, can also be shown.
*
* Compilation Options (provided from Makefile CFLAGS)
*
* MEMDBG_ON If this is NOT defined, then memdbg will
* get out of your way, and most normal memory functions
* will be called with no overhead at all.
*/
/* these functions can be called by client code. Normally Memdbg_Used() and
* MemDbg_Display() would be called at program exit. That will dump a list
* of any memory that was not released. The MemDbg_Validate() can be called
* pretty much any time. That function will walk the memory allocation linked
* lists, and sqwack if there are problems, such as overwrites, freed memory
* that
* has been written to, etc. It would likely be good to call MemDbg_Validate()
* within benchmarking, after every format is tested.
*
* TODO: Add a handle that can be passed to the MemDbg_Used() and
* MemDbg_Display()
* and a function to get the 'current' state of memory as a handle. Thus, a
* format self test could get a handle BEFORE starting, and then check after,
* and
* ONLY show leaked memory from the time the handle was obtained, which was at
* the
* start of the self test. Thus it would only show leaks from that format test.
*
* These functions are NOT thread safe. Do not call them within OMP blocks of
* code.
* Normally, these would be called at program exit, or within things like
* format
* self test code, etc, and not within OMP. But this warning is here, so that
* it is known NOT to call within OMP.
*/
extern size_t MemDbg_Used(int show_freed);
extern void MemDbg_Display(FILE *);
extern void MemDbg_Validate(int level);
extern void MemDbg_Validate_msg(int level, const char * pMsg);
extern void MemDbg_Validate_msg2(int level, const char * pMsg, int bShowExData);
/* these functions should almost NEVER be called by any client code. They
* are listed here, because the macros need to know their names. Client code
* should almost ALWAYS call malloc() like normal, vs calling MEMDBG_alloc()
* If MEMDBG_alloc() was called, and MEMDBG_ON was not defined, then this
* function would not be declared here, AND at link time, the function would
* not be found.
* NOTE, these functions should be thread safe in OMP builds (using #pragma omp
* atomic)
* also note, memory allocation within OMP blocks SHOULD be avoided if possible.
* It is
* very slow, and the thread safety required makes it even slow. This is not
* only talking
* about these functions here, BUT malloc/free in general in OMP blocks. AVOID
* doing that
* at almost all costs, and performance will usually go up.
*/
extern void * MEMDBG_alloc(size_t, char *, int);
extern void * MEMDBG_realloc(const void *, size_t, char *, int);
extern void MEMDBG_free(const void *, char *, int);
extern char * MEMDBG_strdup(const char *, char *, int);
#if !defined(__MEMDBG__)
/* we get here on every file compiled EXCEPT memdbg.c */
#undef malloc
#undef realloc
#undef free
#undef strdup
#undef libc_free
#undef libc_calloc
#undef libc_malloc
#define libc_free(a) \
do \
{ \
if (a) MEMDBG_libc_free(a); \
a = 0; \
} while (0)
#define libc_malloc(a) MEMDBG_libc_alloc(a)
#define libc_calloc(a) MEMDBG_libc_calloc(a)
#define malloc(a) MEMDBG_alloc((a), __FILE__, __LINE__)
#define calloc(a) MEMDBG_calloc((a), __FILE__, __LINE__)
#define realloc(a, b) MEMDBG_realloc((a), (b), __FILE__, __LINE__)
/* this code mimics JtR's FREE_MEM(a) but does it for any MEMDBG_free(a,F,L)
* call (a hooked free(a) call) */
#define free(a) \
do \
{ \
if (a) MEMDBG_free((a), __FILE__, __LINE__); \
a = 0; \
} while (0)
#define strdup(a) MEMDBG_strdup((a), __FILE__, __LINE__)
#endif
/* pass the file handle to write to (normally stderr) */
#define MEMDBG_PROGRAM_EXIT_CHECKS(a) \
do \
{ \
if (MemDbg_Used(0) > 0) MemDbg_Display(a); \
MemDbg_Validate_msg2(MEMDBG_VALIDATE_DEEPEST, "At Program Exit", 1); \
} while (0)
typedef struct MEMDBG_HANDLE_t
{
unsigned id;
unsigned alloc_cnt;
size_t mem_size;
} MEMDBG_HANDLE;
/*
* these functions allow taking a memory snapshot, calling some code, then
* validating that memory
* is the same after the code. This will help catch memory leaks and other such
* problems, within
* formats and such. Simply get the snapshot, run self tests (or other), when
* it exits, check
* the snapshot to make sure nothing leaked.
*/
/* returning a struct (or passing as params it not super efficient but this is
* done so infrequently that this is not an issue. */
MEMDBG_HANDLE MEMDBG_getSnapshot(int id);
/* will not exit on leaks. Does exit, on memory overwrite corruption. */
void MEMDBG_checkSnapshot(MEMDBG_HANDLE);
/* same as MEMDBG_checkSnapshot() but if exit_on_any_leaks is true, will also
* exit if leaks found. */
void MEMDBG_checkSnapshot_possible_exit_on_error(MEMDBG_HANDLE,
int exit_on_any_leaks);
/*
* the allocations from mem_alloc_tiny() must call this function to flag the
* memory they allocate
* so it is not flagged as a leak, by these HANDLE snapshot functions. 'tiny'
* memory is expected
* to leak, until program exit. At that time, any that was not freed, will be
* shown as leaked.
* THIS function is also thread safe. The other checkSnapshot functions are NOT
* thread safe.
*/
void MEMDBG_tag_mem_from_alloc_tiny(void *);
#else
/* NOTE, we DO keep one special function here. We make free a little
* smarter. this function gets used, even when we do NOT compile with
* any memory debugging on. This makes free work more like C++ delete,
* in that it is valid to call it on a NULL. Also, it sets the pointer
* to NULL, so that we can call free(x) on x multiple times, without
* causing a crash. NOTE, the multiple frees SHOULD be caught when
* someone builds and runs with MEMDBG_ON. But when it is off, we do
* try to protect the program.
*/
#undef libc_free
#undef libc_calloc
#undef libc_malloc
#define libc_free(a) \
do \
{ \
if (a) MEMDBG_libc_free(a); \
a = 0; \
} while (0)
#define libc_malloc(a) MEMDBG_libc_alloc(a)
#define libc_calloc(a) MEMDBG_libc_calloc(a)
#if !defined(__MEMDBG__)
/* this code mimics JtR's FREE_MEM(a) but does it for any normal free(a) call */
// extern void MEMDBG_off_free(void *a);
//#define free(a) do { if(a) MEMDBG_off_free(a); a=0; } while(0)
#endif
#define MemDbg_Used(a) 0
#define MemDbg_Display(a)
#define MemDbg_Validate(a)
#define MemDbg_Validate_msg(a, b)
#define MemDbg_Validate_msg2(a, b, c)
#define MEMDBG_PROGRAM_EXIT_CHECKS(a)
#define MEMDBG_tag_mem_from_alloc_tiny(a)
#define MEMDBG_HANDLE int
#define MEMDBG_getSnapshot(a) 0
#define MEMDBG_checkSnapshot(a) \
if (a) printf(" \b")
#define MEMDBG_checkSnapshot_possible_exit_on_error(a, b) \
if (a) printf(" \b")
#endif /* MEMDBG_ON */
extern void MEMDBG_libc_free(void *);
extern void * MEMDBG_libc_alloc(size_t size);
extern void * MEMDBG_libc_calloc(size_t size);
#endif /* __MEMDBG_H_ */
|
shallow2d.c | #include <string.h>
#include <math.h>
#include <omp.h>
#include <limits.h>
//ldoc on
/**
* ## Implementation
*
* The actually work of computing the fluxes and speeds is done
* by local (`static`) helper functions that take as arguments
* pointers to all the individual fields. This is helpful to the
* compilers, since by specifying the `restrict` keyword, we are
* promising that we will not access the field data through the
* wrong pointer. This lets the compiler do a better job with
* vectorization.
*/
static const float g = 9.8;
static
void shallow2dv_flux(float* restrict fh,
float* restrict fhu,
float* restrict fhv,
float* restrict gh,
float* restrict ghu,
float* restrict ghv,
const float* restrict h,
const float* restrict hu,
const float* restrict hv,
float g,
int ncell)
{
memcpy(fh, hu, ncell * sizeof(float));
memcpy(gh, hv, ncell * sizeof(float));
for (int i = 0; i < ncell; ++i) {
float hi = h[i], hui = hu[i], hvi = hv[i];
float inv_h = 1.0f/hi;
fhu[i] = hui*hui*inv_h + (0.5f*g)*hi*hi;
fhv[i] = hui*hvi*inv_h;
ghu[i] = hui*hvi*inv_h;
ghv[i] = hvi*hvi*inv_h + (0.5f*g)*hi*hi;
}
}
static
void shallow2dv_speed(float* restrict cxy,
const float* restrict h,
const float* restrict hu,
const float* restrict hv,
float g,
int ncell)
{
float cx = cxy[0];
float cy = cxy[1];
#pragma omp declare reduction \
(fmaxf:float:omp_out=fmaxf(omp_out,omp_in)) \
initializer(omp_priv=INT_MIN)
#pragma omp parallel for reduction(fmaxf: cx,cy)
for (int i = 0; i < ncell; ++i) {
float hi = h[i];
if (fabsf(hi) < 0.00001) {
continue;
}
float inv_hi = 1.0f/h[i];
float root_gh = sqrtf(g * hi);
float cxi = fabsf(hu[i] * inv_hi) + root_gh;
float cyi = fabsf(hv[i] * inv_hi) + root_gh;
cx = fmaxf(cx,cxi);
cy = fmaxf(cy,cyi);
}
cxy[0] = cx;
cxy[1] = cy;
}
void shallow2d_flux(float* FU, float* GU, const float* U,
int ncell, int field_stride)
{
shallow2dv_flux(FU, FU+field_stride, FU+2*field_stride,
GU, GU+field_stride, GU+2*field_stride,
U, U +field_stride, U +2*field_stride,
g, ncell);
}
void shallow2d_speed(float* cxy, const float* U,
int ncell, int field_stride)
{
shallow2dv_speed(cxy, U, U+field_stride, U+2*field_stride, g, ncell);
}
|
GB_unop__abs_uint16_uint16.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__abs_uint16_uint16)
// op(A') function: GB (_unop_tran__abs_uint16_uint16)
// C type: uint16_t
// A type: uint16_t
// cast: uint16_t cij = aij
// unaryop: cij = aij
#define GB_ATYPE \
uint16_t
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
uint16_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint16_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint16_t z = aij ; \
Cx [pC] = z ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_UINT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__abs_uint16_uint16)
(
uint16_t *Cx, // Cx and Ax may be aliased
const uint16_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
// TODO: if OP is ONE and uniform-valued matrices are exploited, then
// do this in O(1) time
if (Ab == NULL)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (uint16_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
uint16_t aij = Ax [p] ;
uint16_t z = aij ;
Cx [p] = z ;
}
#endif
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
uint16_t aij = Ax [p] ;
uint16_t z = aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__abs_uint16_uint16)
(
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
|
silly.c | /*
Tempo sequencial
real 0m4.492s
user 0m4.488s
sys 0m0.000s
real 0m4.405s
user 0m4.402s
sys 0m0.000s
real 0m4.431s
user 0m4.385s
sys 0m0.000s
real 0m4.651s
user 0m4.385s
sys 0m0.004s
real 0m4.616s
user 0m4.415s
sys 0m0.008s
Tempo paralelo com scheduler(static)
real 0m2.648s
user 0m4.920s
sys 0m0.000s
real 0m2.641s
user 0m4.909s
sys 0m0.000s
real 0m2.647s
user 0m4.917s
sys 0m0.004s
real 0m2.638s
user 0m4.895s
sys 0m0.000s
real 0m2.684s
user 0m4.900s
sys 0m0.000s
Tempo paralelo com scheduler(guided) (Melhor política)
test passed
real 0m2.637s
user 0m4.895s
sys 0m0.000s
real 0m2.632s
user 0m4.881s
sys 0m0.008s
real 0m2.643s
user 0m4.905s
sys 0m0.000s
real 0m2.639s
user 0m4.897s
sys 0m0.008s
real 0m2.643s
user 0m4.901s
sys 0m0.004s
Henrique, bom dia, tentamos testar no servidor da PUC usando a
política de scheduler dynamic, porém, o programa não terminava de rodar,
e quando testavamos em nossos computadores, o programa terminava com
"test failed"
*/
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main()
{
omp_set_num_threads(2);
int i, j, n = 30000;
// Allocate input, output and position arrays
int *in = (int*) calloc(n, sizeof(int));
int *pos = (int*) calloc(n, sizeof(int));
int *out = (int*) calloc(n, sizeof(int));
#pragma omp parallel for
for(i=0; i < n; i++)
in[i] = n-i;
// Print input array
// for(i=0; i < n; i++)
// printf("%d ",in[i]);
#pragma omp parallel for collapse(2) schedule(guided)
for(i=0; i < n; i++)
for(j=0; j < n; j++)
if(in[i] > in[j])
pos[i]++;
#pragma omp parallel for
for(i=0; i < n; i++)
out[pos[i]] = in[i];
// print output array
// for(i=0; i < n; i++)
// printf("%d ",out[i]);
#pragma omp parallel for
for(i=0; i < n; i++)
if(i+1 != out[i])
{
printf("test failed\n");
exit(0);
}
printf("test passed\n");
} |
oskar_cross_correlate_gaussian_time_smearing_omp.c | /*
* Copyright (c) 2013-2015, The University of Oxford
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
* 3. Neither the name of the University of Oxford nor the names of its
* contributors may be used to endorse or promote products derived from this
* software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
#include <math.h>
#include "correlate/private_correlate_functions_inline.h"
#include "correlate/oskar_cross_correlate_gaussian_time_smearing_omp.h"
#include "math/oskar_add_inline.h"
#ifdef __cplusplus
extern "C" {
#endif
/* Single precision. */
void oskar_cross_correlate_gaussian_time_smearing_omp_f(int num_sources,
int num_stations, const float4c* jones, const float* source_I,
const float* source_Q, const float* source_U, const float* source_V,
const float* source_l, const float* source_m, const float* source_n,
const float* source_a, const float* source_b, const float* source_c,
const float* station_u, const float* station_v,
const float* station_w, const float* station_x,
const float* station_y, float uv_min_lambda, float uv_max_lambda,
float inv_wavelength, float frac_bandwidth, float time_int_sec,
float gha0_rad, float dec0_rad, float4c* vis)
{
int SQ;
/* Loop over stations. */
#pragma omp parallel for private(SQ) schedule(dynamic, 1)
for (SQ = 0; SQ < num_stations; ++SQ)
{
int SP, i;
const float4c *station_p, *station_q;
/* Pointer to source vector for station q. */
station_q = &jones[SQ * num_sources];
/* Loop over baselines for this station. */
for (SP = SQ + 1; SP < num_stations; ++SP)
{
float uv_len, uu, vv, ww, uu2, vv2, uuvv, du, dv, dw;
float4c sum, guard;
oskar_clear_complex_matrix_f(&sum);
oskar_clear_complex_matrix_f(&guard);
/* Pointer to source vector for station p. */
station_p = &jones[SP * num_sources];
/* Get common baseline values. */
oskar_evaluate_baseline_terms_inline_f(station_u[SP],
station_u[SQ], station_v[SP], station_v[SQ],
station_w[SP], station_w[SQ], inv_wavelength,
frac_bandwidth, &uv_len, &uu, &vv, &ww, &uu2, &vv2, &uuvv);
/* Apply the baseline length filter. */
if (uv_len < uv_min_lambda || uv_len > uv_max_lambda)
continue;
/* Compute the deltas for time-average smearing. */
oskar_evaluate_baseline_deltas_inline_f(station_x[SP],
station_x[SQ], station_y[SP], station_y[SQ],
inv_wavelength, time_int_sec, gha0_rad, dec0_rad,
&du, &dv, &dw);
/* Loop over sources. */
for (i = 0; i < num_sources; ++i)
{
float l, m, n, r1, r2;
/* Get source direction cosines. */
l = source_l[i];
m = source_m[i];
n = source_n[i];
/* Compute bandwidth- and time-smearing terms. */
r1 = oskar_sinc_f(uu * l + vv * m + ww * (n - 1.0f));
r2 = oskar_evaluate_time_smearing_f(du, dv, dw, l, m, n);
r1 *= r2;
/* Evaluate Gaussian source width term. */
r2 = expf(-(source_a[i] * uu2 + source_b[i] * uuvv +
source_c[i] * vv2));
r1 *= r2;
/* Accumulate baseline visibility response for source. */
oskar_accumulate_baseline_visibility_for_source_inline_f(&sum,
i, source_I, source_Q, source_U, source_V,
station_p, station_q, r1, &guard);
}
/* Add result to the baseline visibility. */
i = oskar_evaluate_baseline_index_inline(num_stations, SP, SQ);
oskar_add_complex_matrix_in_place_f(&vis[i], &sum);
}
}
}
/* Double precision. */
void oskar_cross_correlate_gaussian_time_smearing_omp_d(int num_sources,
int num_stations, const double4c* jones, const double* source_I,
const double* source_Q, const double* source_U, const double* source_V,
const double* source_l, const double* source_m, const double* source_n,
const double* source_a, const double* source_b, const double* source_c,
const double* station_u, const double* station_v,
const double* station_w, const double* station_x,
const double* station_y, double uv_min_lambda, double uv_max_lambda,
double inv_wavelength, double frac_bandwidth, double time_int_sec,
double gha0_rad, double dec0_rad, double4c* vis)
{
int SQ;
/* Loop over stations. */
#pragma omp parallel for private(SQ) schedule(dynamic, 1)
for (SQ = 0; SQ < num_stations; ++SQ)
{
int SP, i;
const double4c *station_p, *station_q;
/* Pointer to source vector for station q. */
station_q = &jones[SQ * num_sources];
/* Loop over baselines for this station. */
for (SP = SQ + 1; SP < num_stations; ++SP)
{
double uv_len, uu, vv, ww, uu2, vv2, uuvv, du, dv, dw;
double4c sum;
oskar_clear_complex_matrix_d(&sum);
/* Pointer to source vector for station p. */
station_p = &jones[SP * num_sources];
/* Get common baseline values. */
oskar_evaluate_baseline_terms_inline_d(station_u[SP],
station_u[SQ], station_v[SP], station_v[SQ],
station_w[SP], station_w[SQ], inv_wavelength,
frac_bandwidth, &uv_len, &uu, &vv, &ww, &uu2, &vv2, &uuvv);
/* Apply the baseline length filter. */
if (uv_len < uv_min_lambda || uv_len > uv_max_lambda)
continue;
/* Compute the deltas for time-average smearing. */
oskar_evaluate_baseline_deltas_inline_d(station_x[SP],
station_x[SQ], station_y[SP], station_y[SQ],
inv_wavelength, time_int_sec, gha0_rad, dec0_rad,
&du, &dv, &dw);
/* Loop over sources. */
for (i = 0; i < num_sources; ++i)
{
double l, m, n, r1, r2;
/* Get source direction cosines. */
l = source_l[i];
m = source_m[i];
n = source_n[i];
/* Compute bandwidth- and time-smearing terms. */
r1 = oskar_sinc_d(uu * l + vv * m + ww * (n - 1.0));
r2 = oskar_evaluate_time_smearing_d(du, dv, dw, l, m, n);
r1 *= r2;
/* Evaluate Gaussian source width term. */
r2 = exp(-(source_a[i] * uu2 + source_b[i] * uuvv +
source_c[i] * vv2));
r1 *= r2;
/* Accumulate baseline visibility response for source. */
oskar_accumulate_baseline_visibility_for_source_inline_d(&sum,
i, source_I, source_Q, source_U, source_V,
station_p, station_q, r1);
}
/* Add result to the baseline visibility. */
i = oskar_evaluate_baseline_index_inline(num_stations, SP, SQ);
oskar_add_complex_matrix_in_place_d(&vis[i], &sum);
}
}
}
#ifdef __cplusplus
}
#endif
|
core_dgemm_blasfeo.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @generated from core_blas/core_zgemm.c, normal z -> d, Thu Aug 8 10:20:04 2019
*
**/
#include <plasma_core_blas.h>
#include "plasma_types.h"
#include "core_lapack.h"
#include "blasfeo_d_aux.h"
//#include "blasfeo_d_blas.h"
/***************************************************************************//**
*
* @ingroup core_gemm
*
* Performs one of the matrix-matrix operations
*
* \f[ C = \alpha [op( A )\times op( B )] + \beta C, \f]
*
* where op( X ) is one of:
* \f[ op( X ) = X, \f]
* \f[ op( X ) = X^T, \f]
* \f[ op( X ) = X^T, \f]
*
* alpha and beta are scalars, and A, B and C are matrices, with op( A )
* an m-by-k matrix, op( B ) a k-by-n matrix and C an m-by-n matrix.
*
*******************************************************************************
*
* @param[in] transa
* - PlasmaNoTrans: A is not transposed,
* - PlasmaTrans: A is transposed,
* - PlasmaConjTrans: A is conjugate transposed.
*
* @param[in] transb
* - PlasmaNoTrans: B is not transposed,
* - PlasmaTrans: B is transposed,
* - PlasmaConjTrans: B is conjugate transposed.
*
* @param[in] m
* The number of rows of the matrix op( A ) and of the matrix C.
* m >= 0.
*
* @param[in] n
* The number of columns of the matrix op( B ) and of the matrix C.
* n >= 0.
*
* @param[in] k
* The number of columns of the matrix op( A ) and the number of rows
* of the matrix op( B ). k >= 0.
*
* @param[in] alpha
* The scalar alpha.
*
* @param[in] A
* An lda-by-ka matrix, where ka is k when transa = PlasmaNoTrans,
* and is m otherwise.
*
* @param[in] lda
* The leading dimension of the array A.
* When transa = PlasmaNoTrans, lda >= max(1,m),
* otherwise, lda >= max(1,k).
*
* @param[in] B
* An ldb-by-kb matrix, where kb is n when transb = PlasmaNoTrans,
* and is k otherwise.
*
* @param[in] ldb
* The leading dimension of the array B.
* When transb = PlasmaNoTrans, ldb >= max(1,k),
* otherwise, ldb >= max(1,n).
*
* @param[in] beta
* The scalar beta.
*
* @param[in,out] C
* An ldc-by-n matrix. On exit, the array is overwritten by the m-by-n
* matrix ( alpha*op( A )*op( B ) + beta*C ).
*
* @param[in] ldc
* The leading dimension of the array C. ldc >= max(1,m).
*
******************************************************************************/
__attribute__((weak))
void plasma_core_dgemm_blasfeo(plasma_enum_t transa, plasma_enum_t transb,
int m, int n, int k,
// double alpha, const double *A, int lda,
// const double *B, int ldb,
// double beta, double *C, int ldc)
double alpha, const struct blasfeo_dmat *sA, int ai, int aj,
const struct blasfeo_dmat *sB, int bi, int bj,
double beta, struct blasfeo_dmat *sC, int ci, int cj)
{
#if HAVE_BLASFEO_API
// TODO assume double precision !!!
// TODO assume nn version !!!
//printf("\n%d %d %d %d %d %d\n", m, n, k, lda, ldb, ldc);
//printf("\nhere\n");
// struct blasfeo_dmat sA, sB, sC;
// blasfeo_create_dmat(m, k, &sA, A);
// sA.cn = lda;
// blasfeo_create_dmat(k, n, &sB, B);
// sB.cn = ldb;
// blasfeo_create_dmat(m, n, &sC, C);
// sC.cn = ldc;
//printf("\nafter create\n");
// blasfeo_print_dmat(m, k, &sA, 0, 0);
// blasfeo_print_dmat(k, n, &sB, 0, 0);
// blasfeo_print_dmat(m, n, &sC, 0, 0);
//printf("\nafter print\n");
// blasfeo_dgemm_nn(m, n, k, alpha, &sA, 0, 0, &sB, 0, 0, beta, &sC, 0, 0, &sC, 0, 0);
// TODO fix 'n'
//printf("\nstart of core dgemm");
if(transa == PlasmaNoTrans && transb == PlasmaNoTrans){
blasfeo_dgemm_nn(m, n, k, alpha, sA, ai, aj, sB, bi, bj, beta, sC, ci, cj, sC, ci, cj);
}
else if(transa == PlasmaNoTrans && transb == PlasmaTrans) {
// printf("called blasfeo_dgemm_nt\n");
blasfeo_dgemm_nt(m, n, k, alpha, sA, ai, aj, sB, bi, bj, beta, sC, ci, cj, sC, ci, cj);
}
else if(transa == PlasmaTrans && transb == PlasmaNoTrans){
blasfeo_dgemm_tn(m, n, k, alpha, sA, ai, aj, sB, bi, bj, beta, sC, ci, cj, sC, ci, cj);
}
else if(transa == PlasmaTrans && transb == PlasmaTrans){
// printf("\nboth arrays transposed");
blasfeo_dgemm_tt(m, n, k, alpha, sA, ai, aj, sB, bi, bj, beta, sC, ci, cj, sC, ci, cj);
}
//printf("\nafter dgemm\n");
// blasfeo_print_dmat(m, n, &sC, 0, 0);
#else
cblas_dgemm(CblasColMajor,
(CBLAS_TRANSPOSE)transa, (CBLAS_TRANSPOSE)transb,
m, n, k,
(alpha), A, lda,
B, ldb,
(beta), C, ldc);
#endif
}
/******************************************************************************/
void plasma_core_omp_dgemm_blasfeo(
plasma_enum_t transa, plasma_enum_t transb,
int m, int n, int k,
// double alpha, const double *A, int lda,
double alpha, const struct blasfeo_dmat *sA, int ai, int aj,
// const double *B, int ldb,
const struct blasfeo_dmat *sB, int bi, int bj,
// double beta, double *C, int ldc,
double beta, struct blasfeo_dmat *sC, int ci, int cj,
plasma_sequence_t *sequence, plasma_request_t *request)
{
struct blasfeo_dmat sA2, sB2, sC2;
// blasfeo_create_dmat(m, k, &sA, A);
// blasfeo_create_dmat(k, n, &sB, B);
// blasfeo_create_dmat(m, n, &sC2, C);
// sC2.cn = sdc;
// make a local copy of the structure, such that the orignal one can be safely destroyed when out of scope
sA2 = *sA;
sB2 = *sB;
sC2 = *sC;
int ak, am;
if (transa == PlasmaNoTrans)
{
am = m;
// ak = k;
}
else
{
am = k;
// ak = m;
}
am = (am+D_PS-1)/D_PS*D_PS;
int bk;
if (transb == PlasmaNoTrans)
{
bk = k;
// bk = n;
}
else
{
bk = n;
// bk = k;
}
bk = (bk+D_PS-1)/D_PS*D_PS;
double *A = sA->pA;
int sda = sA->cn;
double *B = sB->pA;
int sdb = sB->cn;
double *C = sC->pA;
int sdc = sC->cn;
// #pragma omp task depend(in:A[0:lda*ak]) \
// depend(in:B[0:ldb*bk]) \
// depend(inout:C[0:ldc*n])
// TODO this should be checked in case of ai,aj!=0
#pragma omp task depend(in:A[0:am*sda]) \
depend(in:B[0:bk*sdb]) \
depend(inout:C[0:m*sdc])
{
if (sequence->status == PlasmaSuccess)
plasma_core_dgemm_blasfeo(transa, transb,
m, n, k,
// alpha, A, lda,
// B, ldb,
// beta, C, ldc);
alpha, &sA2, ai, aj,
&sB2, bi, bj,
beta, &sC2, ci, cj);
}
}
|
mbir_ct.c |
#include <stdio.h>
#include <stdlib.h>
#include <getopt.h>
#include <string.h>
//#include <time.h>
#include <sys/time.h>
#include "mbir_ct.h"
#include "MBIRModularDefs.h"
#include "MBIRModularUtils.h"
#include "allocate.h"
#include "A_comp.h"
#include "initialize.h"
#include "recon3d.h"
/* Internal Functions */
void readCmdLine(int argc, char *argv[], struct CmdLine *cmdline);
void printCmdLineUsage(char *ExecFileName);
int CmdLineHelpOption(char *string);
void setNumSliceDigits(char *basename, char *ext, int slice, struct SinoParams3DParallel *sinoparams, struct ImageParams3D *imgparams);
int main(int argc, char *argv[])
{
struct CmdLine cmdline;
struct Image3D Image;
struct Image3D ProxMap;
struct Sino3DParallel sinogram;
struct ReconParams reconparams;
struct SVParams svpar;
struct AValues_char **A_Padded_Map;
float *max_num_pointer;
char *ImageReconMask; /* Image reconstruction mask (determined by ROI) */
char fname[200];
struct timeval tm1,tm2;
unsigned long long tdiff;
int i,j,jz;
float **e;
fprintf(stdout,"SUPER-VOXEL MBIR RECONSTRUCTION FOR 3D PARALLEL-BEAM CT\n");
fprintf(stdout,"build time: %s, %s\n\n", __DATE__, __TIME__);
readCmdLine(argc, argv, &cmdline);
/* Read image/sino parameter files */
ReadSinoParams3DParallel(cmdline.SinoParamsFile,&sinogram.sinoparams);
ReadImageParams3D(cmdline.ImageParamsFile,&Image.imgparams);
printSinoParams3DParallel(&sinogram.sinoparams);
printImageParams3D(&Image.imgparams);
if(cmdline.reconFlag)
{
ReadReconParams(cmdline.ReconParamsFile, &reconparams);
ReadPriorParams(cmdline.ReconParamsFile, &reconparams);
NormalizePriorWeights3D(&reconparams);
/* Print MBIR parameters followed by prior parameters */
printReconParams(&reconparams);
printReconParamsQGGMRF3D(&reconparams);
}
initSVParams(&svpar, Image.imgparams, sinogram.sinoparams); /* Initialize/allocate SV parameters */
fprintf(stdout,"\n");
/* The image parameters specify the relevant slice range to reconstruct, so re-set the */
/* relevant sinogram parameters so it pulls the correct slices and indexes them consistently */
sinogram.sinoparams.NSlices = Image.imgparams.Nz;
sinogram.sinoparams.FirstSliceNumber = Image.imgparams.FirstSliceNumber;
int NvNc = sinogram.sinoparams.NViews * sinogram.sinoparams.NChannels;
int Nxy = Image.imgparams.Nx * Image.imgparams.Ny;
int Nz = Image.imgparams.Nz;
int FirstSliceNumber = Image.imgparams.FirstSliceNumber;
/* Detect the number of slice number digits in input file names */
if(cmdline.reconFlag)
setNumSliceDigits(cmdline.SinoDataFile,"2Dsinodata",FirstSliceNumber,&sinogram.sinoparams,&Image.imgparams);
else if(cmdline.readInitImageFlag)
setNumSliceDigits(cmdline.InitImageFile,"2Dimgdata",FirstSliceNumber,&sinogram.sinoparams,&Image.imgparams);
int NumSliceDigits = Image.imgparams.NumSliceDigits;
/* Allocate and generate recon mask based on ROIRadius */
ImageReconMask = GenImageReconMask(&Image.imgparams);
/* Read/compute/write System Matrix */
A_Padded_Map = (struct AValues_char **)multialloc(sizeof(struct AValues_char),2,svpar.Nsv,(2*svpar.SVLength+1)*(2*svpar.SVLength+1));
max_num_pointer = (float *) get_spc(Nxy,sizeof(float)); /* Used for a 8-bit quantization of the A-matrix entries */
if(cmdline.readAmatrixFlag)
{
fprintf(stdout,"Reading system matrix...\n");
sprintf(fname,"%s.2Dsvmatrix",cmdline.SysMatrixFile);
readAmatrix(fname, A_Padded_Map, max_num_pointer, &Image.imgparams, &sinogram.sinoparams, svpar);
}
else
{
fprintf(stdout,"Computing system matrix...\n");
A_comp(A_Padded_Map,max_num_pointer,svpar,&sinogram.sinoparams,ImageReconMask,&Image.imgparams);
}
if(cmdline.writeAmatrixFlag)
{
fprintf(stdout,"Writing system matrix...\n");
sprintf(fname,"%s.2Dsvmatrix",cmdline.SysMatrixFile);
writeAmatrix(fname,A_Padded_Map,max_num_pointer,&Image.imgparams,&sinogram.sinoparams,svpar);
}
/* Initialize image and forward project, if necessary */
if(cmdline.reconFlag || cmdline.writeProjectionFlag)
{
/* Initialize image */
AllocateImageData3D(&Image);
if(cmdline.readInitImageFlag)
{
fprintf(stdout,"Reading initial image...\n");
ReadImage3D(cmdline.InitImageFile,&Image);
}
else
initConstImage(&Image, ImageReconMask, MUWATER, 0);
/* Initialize Forward Projection of initial image */
e = (float **)multialloc(sizeof(float),2,sinogram.sinoparams.NSlices,NvNc);
if(cmdline.readInitProjectionFlag)
{
if(cmdline.readInitImageFlag) /* If input image is specified, compute indvidual slice-wise forward projection */
{
for(jz=0;jz<Nz;jz++)
{
sprintf(fname,"%s_slice%.*d.2Dprojection",cmdline.inputProjectionFile,NumSliceDigits,jz+FirstSliceNumber);
if(ReadFloatArray(fname,e[jz],NvNc)) {
fprintf(stderr,"Error: can't read %s\n",fname);
exit(-1);
}
}
}
else /* default initial condition, so all slices have same projection */
{
sprintf(fname,"%s.2Dprojection",cmdline.inputProjectionFile);
if(ReadFloatArray(fname,e[0],NvNc)) {
fprintf(stdout,"Warning: can't read %s\n",fname);
fprintf(stdout,"Projecting initial image...\n");
forwardProject2D(e[0],Image.image[0],A_Padded_Map,max_num_pointer,&sinogram.sinoparams,&Image.imgparams,svpar);
}
for(jz=1;jz<Nz;jz++)
memcpy(e[jz],e[0],NvNc*sizeof(float));
}
}
else /* Compute initial projection */
{
fprintf(stdout,"Projecting initial image...\n");
gettimeofday(&tm1,NULL);
//compProjectionError(e,&Image,&sinogram,A_Padded_Map,max_num_pointer,svpar);
if(cmdline.readInitImageFlag)
{
/* here we need to project each slice */
#pragma omp parallel for schedule(dynamic)
for(jz=0;jz<Nz;jz++)
forwardProject2D(e[jz],Image.image[jz],A_Padded_Map,max_num_pointer,&sinogram.sinoparams,&Image.imgparams,svpar);
}
else /* if using default initial image, only need to project 1st slice and copy */
{
forwardProject2D(e[0],Image.image[0],A_Padded_Map,max_num_pointer,&sinogram.sinoparams,&Image.imgparams,svpar);
for(jz=1;jz<Nz;jz++)
memcpy(e[jz],e[0],NvNc*sizeof(float));
}
gettimeofday(&tm2,NULL);
tdiff = 1000 * (tm2.tv_sec - tm1.tv_sec) + (tm2.tv_usec - tm1.tv_usec) / 1000;
fprintf(stdout,"\tProjection time = %llu ms\n",tdiff);
}
}
/***** Reconstruction mode *****/
if(cmdline.reconFlag)
{
/* Allocate and Read sinogram data */
AllocateSinoData3DParallel(&sinogram);
ReadSinoData3DParallel(cmdline.SinoDataFile, &sinogram);
if(cmdline.SinoWeightsFileFlag)
ReadWeights3D(cmdline.SinoWeightsFile, &sinogram);
else
ComputeSinoWeights(sinogram,reconparams);
/* Read Proximal map if necessary */
if(strcmp(reconparams.MBIRMode,"PnP")==0)
{
ProxMap.imgparams.Nx = Image.imgparams.Nx;
ProxMap.imgparams.Ny = Image.imgparams.Ny;
ProxMap.imgparams.Nz = Image.imgparams.Nz;
ProxMap.imgparams.FirstSliceNumber = Image.imgparams.FirstSliceNumber;
ProxMap.imgparams.NumSliceDigits = Image.imgparams.NumSliceDigits;
AllocateImageData3D(&ProxMap);
//ReadImage3D(cmdline.ProxMapImageFile,&ProxMap);
for(jz=0;jz<Nz;jz++)
memcpy(ProxMap.image[jz],Image.image[jz],Nxy*sizeof(float));
reconparams.proximalmap = ProxMap.image; // **ptr to proximal map image
strcpy(reconparams.priorparams.DataDir,cmdline.ReconImageFile); // path for writing temporary image data files (in/out for PnP denoiser)
if(strcmp(reconparams.PriorModel, "CNN")==0)
{
reconparams.priorparams.TF_gpu_flag = cmdline.TF_gpu_flag;
strcpy(reconparams.priorparams.TF_CheckPointDir, cmdline.TF_CheckPointDir);
strcpy(reconparams.priorparams.TF_CheckpointState, cmdline.TF_CheckpointState);
reconparams.priorparams.TF_CheckpointEpochNum = cmdline.TF_CheckpointEpochNum;
}
}
/* Start Reconstruction */
fprintf(stdout,"Reconstructing...\n");
gettimeofday(&tm1,NULL);
/* "e" will hold the sinogram error (y-Ax) during reconstruction */
for(jz=0; jz<Nz; jz++)
for(i=0; i<NvNc; i++)
e[jz][i] = sinogram.sino[jz][i]-e[jz][i];
MBIRReconstruct3D(&Image,&sinogram,e,reconparams,svpar,A_Padded_Map,max_num_pointer,ImageReconMask,&cmdline);
gettimeofday(&tm2,NULL);
tdiff = 1000 * (tm2.tv_sec - tm1.tv_sec) + (tm2.tv_usec - tm1.tv_usec) / 1000;
fprintf(stdout,"\tReconstruction time = %llu ms\n",tdiff);
/* Write out reconstructed image(s) */
fprintf(stdout,"Writing image files...\n");
WriteImage3D(cmdline.ReconImageFile, &Image);
if(cmdline.writeProjectionFlag) /* flip it back to get projection Ax */
{
for(jz=0; jz<Nz; jz++)
for(i=0; i<NvNc; i++)
e[jz][i] = sinogram.sino[jz][i]-e[jz][i];
}
FreeSinoData3DParallel(&sinogram);
//if(reconparams.ReconType == MBIR_MODULAR_RECONTYPE_PandP)
if(strcmp(reconparams.MBIRMode,"PnP")==0)
FreeImageData3D(&ProxMap);
}
/* Write Projection of image state if requested */
if(cmdline.writeProjectionFlag)
{
fprintf(stdout,"Writing projection of image state...\n");
if(cmdline.writeProjectionFlag == 1) // single slice case
{
sprintf(fname,"%s.2Dprojection",cmdline.outputProjectionFile);
if( WriteFloatArray(fname,e[0],NvNc) ) {
fprintf(stderr,"Error: can't open file %s for writing\n",fname);
exit(-1);
}
}
if(cmdline.writeProjectionFlag == 2) // multi-slice case
{
for(jz=0; jz<Nz; jz++)
{
sprintf(fname,"%s_slice%.*d.2Dprojection",cmdline.outputProjectionFile,NumSliceDigits,jz+FirstSliceNumber);
if( WriteFloatArray(fname,e[jz],NvNc) ) {
fprintf(stderr,"Error: can't open file %s for writing\n",fname);
exit(-1);
}
}
}
}
if(cmdline.reconFlag || cmdline.writeProjectionFlag)
{
multifree(e,2);
FreeImageData3D(&Image);
}
/* Free SV memory */
for(j=0;j<svpar.Nsv;j++) free((void *)svpar.bandMinMap[j].bandMin);
for(j=0;j<svpar.Nsv;j++) free((void *)svpar.bandMaxMap[j].bandMax);
free((void *)svpar.bandMinMap);
free((void *)svpar.bandMaxMap);
/* Free system matrix */
for(i=0;i<svpar.Nsv;i++)
for(j=0;j<(2*svpar.SVLength+1)*(2*svpar.SVLength+1);j++)
if(A_Padded_Map[i][j].length>0)
{
free((void *)A_Padded_Map[i][j].val);
free((void *)A_Padded_Map[i][j].pieceWiseMin);
free((void *)A_Padded_Map[i][j].pieceWiseWidth);
}
multifree(A_Padded_Map,2);
free((void *)max_num_pointer);
free((void *)ImageReconMask);
fprintf(stdout,"Done.\n\n");
return(0);
}
/* Read Command-line */
void readCmdLine(int argc, char *argv[], struct CmdLine *cmdline)
{
char ch;
/* set defaults */
cmdline->SinoParamsFileFlag=0;
cmdline->ImageParamsFileFlag=0;
cmdline->ReconParamsFileFlag=0;
cmdline->SinoDataFileFlag=0;
cmdline->SinoWeightsFileFlag=0;
cmdline->ReconImageFileFlag=0;
cmdline->SysMatrixFileFlag=0;
//cmdline->reconFlag = MBIR_MODULAR_RECONTYPE_QGGMRF_3D;
cmdline->reconFlag=0; //No reconstruction
cmdline->readInitImageFlag=0;
cmdline->readInitProjectionFlag=0;
cmdline->writeProjectionFlag=0;
cmdline->TF_gpu_flag=1;
strcpy(cmdline->TF_CheckPointDir, "../data/checkpoint");
strcpy(cmdline->TF_CheckpointState, "latest");
cmdline->TF_CheckpointEpochNum=0;
/* Print usage statement if no arguments, or help argument given */
if(argc==1 || CmdLineHelpOption(argv[1]))
{
//fprintf(stdout,"Printing usage statement for %s\n",argv[0]);
printCmdLineUsage(argv[0]);
exit(0);
}
/* get options */
while ((ch = getopt(argc, argv, "i:j:k:s:w:r:m:t:e:f:c:gdlv")) != EOF)
{
switch (ch)
{
case 'i':
{
cmdline->ImageParamsFileFlag=1;
sprintf(cmdline->ImageParamsFile, "%s", optarg);
break;
}
case 'j':
{
cmdline->SinoParamsFileFlag=1;
sprintf(cmdline->SinoParamsFile, "%s", optarg);
break;
}
case 'k':
{
cmdline->ReconParamsFileFlag=1;
cmdline->reconFlag=1;
sprintf(cmdline->ReconParamsFile, "%s", optarg);
break;
}
case 's':
{
cmdline->SinoDataFileFlag=1;
sprintf(cmdline->SinoDataFile, "%s", optarg);
break;
}
case 'w':
{
cmdline->SinoWeightsFileFlag=1;
sprintf(cmdline->SinoWeightsFile, "%s", optarg);
break;
}
case 'r':
{
cmdline->ReconImageFileFlag=1;
sprintf(cmdline->ReconImageFile, "%s", optarg);
break;
}
case 'm':
{
cmdline->SysMatrixFileFlag=1;
sprintf(cmdline->SysMatrixFile, "%s", optarg);
break;
}
case 't':
{
cmdline->readInitImageFlag=1;
sprintf(cmdline->InitImageFile, "%s", optarg);
break;
}
case 'e':
{
cmdline->readInitProjectionFlag=1;
sprintf(cmdline->inputProjectionFile, "%s", optarg);
break;
}
case 'f':
{
cmdline->writeProjectionFlag=1;
sprintf(cmdline->outputProjectionFile, "%s", optarg);
break;
}
case 'c':
{
sprintf(cmdline->TF_CheckPointDir, "%s", optarg);
break;
}
case 'g':
{
cmdline->TF_gpu_flag=0; /* default is 1 enabling GPU acceleration */
break;
}
case 'd':
{
strcpy(cmdline->TF_CheckpointState, "specific"); /* default is "latest" */
break;
}
case 'l':
{
cmdline->TF_CheckpointEpochNum=atoi(optarg); /* indiciates epcoh number for loading checkpoint. this argument is needed when TF_CheckpointState="specifc".*/
break;
}
// Reserve this for verbose-mode flag
case 'v':
{
break;
}
default:
{
//fprintf(stderr,"%s: invalid option '%c'\n",argv[0],ch); //getopt does this already
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
break;
}
}
}
fprintf(stdout,"Parsing command line...\n");
/* Check for mandatory arguments */
if(!cmdline->SinoParamsFileFlag || !cmdline->ImageParamsFileFlag){
fprintf(stderr,"Error: Either sinoparams or imgparams (-i,-j) file wasn't specified\n");
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
}
/* Determine what to do based on supplied options */
cmdline->readAmatrixFlag=0;
cmdline->writeAmatrixFlag=0;
if(cmdline->ReconImageFileFlag) /* reconstruction mode */
{
//cmdline->reconFlag already set above
if(cmdline->SysMatrixFileFlag)
cmdline->readAmatrixFlag=1;
if(cmdline->writeProjectionFlag)
cmdline->writeProjectionFlag=2; /* this means write full multi-slice projection */
}
else /* precompute mode */
{
cmdline->reconFlag=0;
cmdline->readInitProjectionFlag=0;
if(cmdline->SysMatrixFileFlag)
cmdline->writeAmatrixFlag=1;
if(cmdline->writeProjectionFlag && cmdline->readInitImageFlag)
cmdline->writeProjectionFlag=2; /* this means write full multi-slice projection */
}
/* Print output and check errors of above parsing sequence */
if(cmdline->reconFlag)
{
fprintf(stdout,"-> will perform reconstruction ");
if(cmdline->readAmatrixFlag)
fprintf(stdout,"-> will read system matrix from file\n");
else
{
fprintf(stdout,"-> will compute system matrix\n");
fprintf(stdout," *** NOTE if you precompute/store the system matrix, any further reconstruction\n");
fprintf(stdout," *** with the same image/sinogram in-slice dimensions will execute MUCH faster.\n");
fprintf(stdout," *** See help (-m option)\n");
// fprintf(stdout,"***80 columns*******************************************************************\n\n");
}
if(!cmdline->SinoWeightsFileFlag)
fprintf(stdout,"-> will compute sinogram weights internally (no file provided)\n");
if(cmdline->readInitImageFlag)
fprintf(stdout,"-> will read initial condition from file(s)\n");
if(cmdline->readInitProjectionFlag)
fprintf(stdout,"-> will read projection of initial condition\n");
else
{
fprintf(stdout,"-> will compute forward project of initial condition\n");
fprintf(stdout," *** NOTE you may save run time by pre-computing the initial projection\n");
fprintf(stdout," *** See help (-e option)\n");
}
if(cmdline->writeProjectionFlag)
fprintf(stdout,"-> will save projection of output image state to file(s)\n");
if(!cmdline->ReconParamsFileFlag || !cmdline->SinoDataFileFlag)
{
fprintf(stderr,"Error: Either input data or reconstruction parameters weren't specified\n");
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
}
if( (strcmp(cmdline->TF_CheckpointState, "specific")==0) && (cmdline->TF_CheckpointEpochNum<1) )
{
fprintf(stderr,"Error: To specify a particular checkpoint, a positive epoch number is needed\n");
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
}
}
else if(cmdline->writeAmatrixFlag || cmdline->writeProjectionFlag)
{
fprintf(stdout,"-> pre-compute mode..no reconstruction\n");
if(cmdline->writeAmatrixFlag)
fprintf(stdout,"-> will compute system matrix and write to file\n");
if(cmdline->writeProjectionFlag)
fprintf(stdout,"-> will compute projection of initial condition and write to file(s)\n");
if(cmdline->ReconParamsFileFlag || cmdline->SinoDataFileFlag || cmdline->SinoWeightsFileFlag || cmdline->readInitProjectionFlag)
fprintf(stdout,"Note some command line options are being ignored.\n");
}
else
{
fprintf(stderr,"Error: From the given command options, not sure what you want to do.\n");
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
}
fprintf(stdout,"\n");
fprintf(stdout,"Filenames provided:\n");
if(cmdline->SinoParamsFileFlag)
fprintf(stdout," Sino params = %s.sinoparams\n",cmdline->SinoParamsFile);
if(cmdline->ImageParamsFileFlag)
fprintf(stdout," Image params = %s.imgparams\n",cmdline->ImageParamsFile);
if(cmdline->ReconParamsFileFlag)
fprintf(stdout," Recon params = %s.reconparams\n",cmdline->ReconParamsFile);
if(cmdline->SinoDataFileFlag)
fprintf(stdout," Sinogram data = %s_sliceNNN.2Dsinodata\n",cmdline->SinoDataFile);
if(cmdline->SinoWeightsFileFlag)
fprintf(stdout," Weight data = %s_sliceNNN.2Dweightdata\n",cmdline->SinoWeightsFile);
if(cmdline->ReconImageFileFlag)
fprintf(stdout," Output images = %s_sliceNNN.2Dimgdata\n",cmdline->ReconImageFile);
if(cmdline->readInitImageFlag)
fprintf(stdout," Initial image = %s_sliceNNN.2Dimgdata\n",cmdline->InitImageFile);
if(cmdline->SysMatrixFileFlag)
fprintf(stdout," System matrix = %s.2Dsvmatrix\n",cmdline->SysMatrixFile);
if(cmdline->readInitProjectionFlag)
fprintf(stdout," Initial projection = %s.2Dprojection\n",cmdline->inputProjectionFile);
if(cmdline->writeProjectionFlag)
if(cmdline->readInitImageFlag)
fprintf(stdout," Output projection = %s_sliceNNN.2Dprojection\n",cmdline->outputProjectionFile);
else
fprintf(stdout," Output projection = %s.2Dprojection\n",cmdline->outputProjectionFile);
}
int NumSliceDigits(char *basename, char *ext, int slice)
{
FILE *fp;
char fname[200];
int Ndigits = MBIR_MODULAR_MAX_NUMBER_OF_SLICE_DIGITS;
while(Ndigits > 0)
{
sprintf(fname,"%s_slice%.*d.%s",basename, Ndigits, slice, ext);
//printf("%s\n",fname);
if( (fp=fopen(fname,"r")) ) {
fclose(fp);
break;
}
else
Ndigits--;
}
return(Ndigits);
}
void setNumSliceDigits(
char *basename,
char *ext,
int slice,
struct SinoParams3DParallel *sinoparams,
struct ImageParams3D *imgparams)
{
int i,Ndigits;
if( (Ndigits = NumSliceDigits(basename,ext,slice)) > 0 )
{
sinoparams->NumSliceDigits = Ndigits;
imgparams->NumSliceDigits = Ndigits;
}
else
{
fprintf(stderr,"Error: Can't determine number of slice digits from given input file.\n");
fprintf(stderr,"* Looking for file with this format: %s_slice%d.%s\n",basename,slice,ext);
fprintf(stderr,"* where the slice number can contain leading zeros but no spaces.\n");
exit(-1);
}
}
void printBanner(void)
{
fprintf(stdout,"MBIR RECONSTRUCTION FOR 3D PARALLEL-BEAM CT\n");
fprintf(stdout,"build time: %s, %s\n\n", __DATE__, __TIME__);
}
void printCmdLineUsage(char *ExecFileName)
{
// fprintf(stdout,"***80 columns*******************************************************************\n\n");
fprintf(stdout,"Command Line Help\n\n");
fprintf(stdout,"There are two forms for the command line. The first computes the system matrix,\n");
fprintf(stdout,"writes it to a file and exits. This matrix is required for the reconstruction\n");
fprintf(stdout,"but is fixed for a given set of sinogram and image parameters so it saves a lot\n");
fprintf(stdout,"of time in the reconstruction phase to precompute this. You can also choose to\n");
fprintf(stdout,"pre-compute the initial projection of the default or input initial condition\n");
fprintf(stdout,"which saves having to run the projection during the reconstruction phase.\n");
fprintf(stdout,"Command Line Syntax: (printed on multiple lines for clarity)\n");
fprintf(stdout,"\n");
fprintf(stdout," %s\n",ExecFileName);
fprintf(stdout,"\t-i <filename>[.imgparams] : Input image parameters\n");
fprintf(stdout,"\t-j <filename>[.sinoparams] : Input sinogram parameters\n");
fprintf(stdout,"\t-m <filename>[.2Dsvmatrix] : Output matrix file\n");
fprintf(stdout," (following are optional)\n");
// fprintf(stdout,"***80 columns*******************************************************************\n\n");
fprintf(stdout,"\t-f <baseFilename> : Output projection of default or input IC\n");
fprintf(stdout,"\t-t <baseFilename> (+ \"-f\") : Input initial image(s)\n");
fprintf(stdout,"\n");
fprintf(stdout,"In the above arguments, the exensions given in the '[]' symbols must be part of\n");
fprintf(stdout,"the file names but should be omitted from the command line.\n");
fprintf(stdout,"\n");
fprintf(stdout,"The second form is for the actual reconstruction:\n");
fprintf(stdout,"\n");
fprintf(stdout," %s\n",ExecFileName);
fprintf(stdout,"\t-i <filename>[.imgparams] : Input image parameters\n");
fprintf(stdout,"\t-j <filename>[.sinoparams] : Input sinogram parameters\n");
fprintf(stdout,"\t-k <filename>[.reconparams] : Reconstruction parameters\n");
fprintf(stdout,"\t-s <baseFilename> : Input sinogram projection file(s)\n");
fprintf(stdout,"\t-w <baseFilename> : Input sinogram weight file(s)\n");
fprintf(stdout,"\t-r <baseFilename> : Output reconstruced image file(s)\n");
fprintf(stdout," (following are optional)\n");
fprintf(stdout,"\t-p <baseFilename> : Proximal map image(s) for Plug & Play\n");
fprintf(stdout,"\t : ** -p specifies to use proximal prior\n");
fprintf(stdout,"\t : ** generally use with -t -e -f\n");
fprintf(stdout,"\t-m <filename>[.2Dsvmatrix] : INPUT matrix file (params must match!)\n");
fprintf(stdout,"\t-t <baseFilename> : Input initial condition image(s)\n");
fprintf(stdout,"\t-e <baseFilename> : Input projection of initial condition\n");
fprintf(stdout,"\t : ** default IC if -t not specified\n");
fprintf(stdout,"\t-f <baseFilename> : Output projection of final image state\n");
fprintf(stdout,"\t-g <TensorFlow flag> : <optional> if -g included, disables GPU acceleration for CNN \n");
fprintf(stdout,"\t-c <TensorFlow Directory> : Checkpoint directory for loading CNN parameters \n");
fprintf(stdout,"\t-d <TensorFlow Checkpt State>: <optional> 'latest' (default value) or 'specific' - from checkpoint directory load latest checkpoint or specific one \n");
fprintf(stdout,"\t-l <TensorFlow Epoch number> : <optional> positive integer - if Checkpt State is 'specific', then this epoch value specifies that checkpoint \n");
fprintf(stdout,"\t-v : verbose mode (TBD)\n");
fprintf(stdout,"\n");
fprintf(stdout,"For all the arguments specifying <baseFilename>, the relevant 3D data is split\n");
fprintf(stdout,"across files, one file per slice. The file naming convention is as follows,\n");
fprintf(stdout,"depending on the data contents:\n");
fprintf(stdout,"\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dimgdata\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dsinodata\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dweightdata\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dprojection\n");
fprintf(stdout,"\n");
fprintf(stdout,"where <sliceIndex> (skip '<>' symbols) is a non-negative integer including\n");
fprintf(stdout,"leading zeros and no spaces (e.g. 0000 to 1023). The number of digits\n");
fprintf(stdout,"is flexible (up to %d) but must be consistent.\n",MBIR_MODULAR_MAX_NUMBER_OF_SLICE_DIGITS);
fprintf(stdout,"\n");
}
int CmdLineHelpOption(char *string)
{
if( (strcmp(string,"-h")==0) || (strcmp(string,"-help")==0) || (strcmp(string,"--help")==0) || (strcmp(string,"help")==0) )
return 1;
else
return 0;
}
|
multithread_test.c | #include <stdio.h>
#include <omp.h>
int main(){
printf("I am master thread!\n");
#pragma omp parallel
{
printf("I am multithread!\n");
}
return 0;
} |
conv.c | /*******************************************************************************
* Copyright 2017-2018 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
#include "MKLDNN.h"
//convert tensor in MKL layout back to Numpy NCHW layout
//if layout diff, do conversion, else, copy memory directly
void ConvertBack(unsigned long long tensor_, int N, int C, int H, int W)
{
long long * tensor = (long long *)tensor_;
if (tensor[CPUPtr] == 0 )
{
printf("error to converback tensor!\n");
return;
}
if (tensor[MKLLayout] == 0)
return;//do not need convert
dnnError_t err;
size_t inSize[DIM4] = { W, H, C, N};
size_t inStride[DIM4] = { 1, W, W*H, W*H*C};
dnnLayout_t lt_NCHW = NULL, lt_CHWN = NULL;
float* newPtr = NULL;
CHECK_ERR( dnnLayoutCreate_F32(<_NCHW, DIM4, inSize, inStride), err );
if (!dnnLayoutCompare_F32((dnnLayout_t)tensor[MKLLayout], (dnnLayout_t)tensor[CPULayout]))
{
float* cpuPtr = (float *)tensor[CPUPtr];
float* mklPtr = (float *)tensor[MKLPtr];
if (!dnnLayoutCompare_F32((dnnLayout_t)tensor[MKLLayout], lt_NCHW))
{
dnnPrimitive_t cv;
CHECK_ERR( dnnConversionCreate_F32(&cv, (dnnLayout_t)tensor[MKLLayout], lt_NCHW), err );
newPtr = (float*)malloc(N*C*H*W*sizeof(float));
CHECK_ERR( dnnConversionExecute_F32(cv, mklPtr, newPtr), err );
dnnDelete_F32(cv);
mklPtr = newPtr;
}
mkl_somatcopy('r', 't', N, C*H*W, 1.0, mklPtr, C*H*W, cpuPtr, N);
}
else
{
long long grad_in_len = (long long)dnnLayoutGetMemorySize_F32((dnnLayout_t)tensor[MKLLayout]) ;
float * destPtr = (float*)tensor[CPUPtr];
float * srcPtr = (float*)tensor[MKLPtr];
#pragma omp parallel for
for (long long i = 0; i < grad_in_len/4; ++i)
{
destPtr[i] = srcPtr[i];
}
}
dnnLayoutDelete_F32(lt_NCHW);
ERR_RETURN:
if (newPtr!=NULL)
{
free(newPtr);
}
}
void ConvertToMKL(unsigned long long tensor_)
{
long long * tensor = (long long *)tensor_;
if (tensor[CPUPtr] == 0 )
{
printf("error to conver to MKL tensor!\n");
return;
}
if (tensor[MKLLayout] == 0) return;//do not need convert
if (!dnnLayoutCompare_F32((dnnLayout_t)tensor[MKLLayout], (dnnLayout_t)tensor[CPULayout]))
{
dnnError_t err; dnnPrimitive_t cv;
CHECK_ERR( dnnConversionCreate_F32(&cv, (dnnLayout_t)tensor[CPULayout],
(dnnLayout_t)tensor[MKLLayout]), err );
CHECK_ERR( dnnConversionExecute_F32(cv, (float *)tensor[CPUPtr], (float *)tensor[MKLPtr]), err );
}
else
{
memcpy((void*)tensor[MKLPtr], (void*)tensor[CPUPtr], dnnLayoutGetMemorySize_F32((dnnLayout_t)tensor[MKLLayout]));
}
ERR_RETURN:
return;
}
void CleanPrimitive(long long * primitives, int length)
{
for(int i=0; i<length; i++)
{
if(primitives[i] != 0)
{
void* p = (void*)primitives[i];
free(p);
}
}
}
void MatTrans(
unsigned long long input,
unsigned long long output,
unsigned long long m,
unsigned long long n)
{
mkl_somatcopy('r', 't', m, n, 1.0, (float*)input, n, (float*)output, m);
}
static int Conv_f_init(
long long * input,
long long * output,
long long * weight,
long long * primitives,
int N, int inC,
int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int outC, int outH, int outW,
int hasBias)
{
dnnError_t err;
//init dimensions
size_t inputSize[DIM4] = { inW, inH, inC, N};
size_t outputSize[DIM4] = {outW, outH, outC, N};
size_t filterSize[DIM4] = { kW, kH, inC, outC};
size_t stride[DIM2] = { dW, dH};
int pad[DIM2] = {-padW, -padH};
size_t biasSize[1] = {outC};
size_t biasStrides[1] = { 1 };
//using NCHW layout
size_t filterStridesNCHW[DIM4] = {1, kW, kW*kH, kW*kH*inC};
size_t inputStridesNCHW[DIM4] = {1, inW, inW*inH, inW*inH*inC};
size_t outputStridesNCHW[DIM4] = {1, outW, outW*outH, outW*outH*outC};
//CHWN
size_t filterStridesCHWN[DIM4] = {outC, outC*kW, outC*kW*kH, 1};
size_t inputStridesCHWN[DIM4] = {N, N*inW, N*inW*inH, 1};
size_t outputStridesCHWN[DIM4] = {N, N*outW, N*outW*outH, 1};
//create execute and save into primitives
dnnPrimitiveAttributes_t attributes = NULL;
CHECK_ERR( dnnPrimitiveAttributesCreate_F32(&attributes), err );
dnnPrimitive_t conv_f = NULL; //forward operation
dnnPrimitive_t conv_bdata = NULL; //backward calculate gradient input
dnnPrimitive_t conv_bfilter = NULL; //backward calculate gradient filter(weight)
dnnPrimitive_t conv_b_bias = NULL; //backward bias
//create layout and save
//lt_in, layout of input in NCHW form
//lt_filter_f, required layout (MKL layout) for forward for weight
//lt_out_bfilter, required layout for backward weight update for output
dnnLayout_t lt_in_NCHW, lt_filter, lt_out_NCHW, lt_in_CHWN, lt_out_CHWN, lt_bias_CHWN=NULL;
dnnLayout_t lt_in_f, lt_filter_f, lt_out_f, lt_bias_f;
dnnLayout_t lt_in_bdata, lt_filter_bdata, lt_out_bdata, lt_bias_bdata;
dnnLayout_t lt_in_bfilter, lt_filter_bfilter, lt_out_bfilter,lt_bias_bias, lt_out_bias;
if (hasBias)
{
CHECK_ERR(dnnConvolutionCreateForwardBias_F32( &conv_f, attributes, dnnAlgorithmConvolutionDirect, DIM4, inputSize, outputSize, filterSize, stride, pad, dnnBorderZeros),err);
CHECK_ERR( dnnLayoutCreate_F32(<_bias_CHWN, 1, biasSize, biasStrides), err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_bias_f, conv_f, dnnResourceBias ) , err );
CHECK_ERR(dnnConvolutionCreateBackwardBias_F32( &conv_b_bias, attributes, dnnAlgorithmConvolutionDirect, DIM4, outputSize),err);
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_bias_bias, conv_b_bias, dnnResourceDiffBias) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_out_bias, conv_b_bias, dnnResourceDiffDst) , err );
}
else
CHECK_ERR(dnnConvolutionCreateForward_F32( &conv_f, attributes, dnnAlgorithmConvolutionDirect, DIM4, inputSize, outputSize, filterSize, stride, pad, dnnBorderZeros),err);
CHECK_ERR(dnnConvolutionCreateBackwardData_F32( &conv_bdata, attributes, dnnAlgorithmConvolutionDirect, DIM4, inputSize, outputSize, filterSize, stride, pad, dnnBorderZeros),err);
CHECK_ERR(dnnConvolutionCreateBackwardFilter_F32(&conv_bfilter, attributes, dnnAlgorithmConvolutionDirect, DIM4, inputSize, outputSize, filterSize, stride, pad, dnnBorderZeros),err);
primitives[FORWARD_INDEX] = (long long)conv_f;
primitives[BWD_DATA_INDEX] = (long long)conv_bdata;
primitives[BWD_FILTER_INDEX] = (long long)conv_bfilter;
primitives[BDW_BIAS_INDEX] = (long long)conv_b_bias;
CHECK_ERR( dnnLayoutCreate_F32(<_in_NCHW, DIM4, inputSize, inputStridesNCHW), err );
CHECK_ERR( dnnLayoutCreate_F32(<_in_CHWN, DIM4, inputSize, inputStridesCHWN), err );
CHECK_ERR( dnnLayoutCreate_F32(<_filter, DIM4, filterSize, filterStridesCHWN), err );
CHECK_ERR( dnnLayoutCreate_F32(<_out_NCHW, DIM4, outputSize, outputStridesNCHW), err );
CHECK_ERR( dnnLayoutCreate_F32(<_out_CHWN, DIM4, outputSize, outputStridesCHWN), err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_in_f, conv_f, dnnResourceSrc ) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_filter_f, conv_f, dnnResourceFilter), err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_out_f, conv_f, dnnResourceDst ) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_in_bdata, conv_bdata, dnnResourceDiffSrc) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_filter_bdata, conv_bdata, dnnResourceFilter) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_out_bdata, conv_bdata, dnnResourceDiffDst) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_in_bfilter, conv_bfilter, dnnResourceSrc) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_filter_bfilter, conv_bfilter, dnnResourceDiffFilter) , err );
CHECK_ERR( dnnLayoutCreateFromPrimitive_F32(<_out_bfilter, conv_bfilter, dnnResourceDiffDst) , err );
//here assume NCHW (CHWN will be transposed)
primitives[L_I] = (long long)lt_in_NCHW;
primitives[L_O] = (long long)lt_out_NCHW;
primitives[L_W] = (long long)lt_filter;
primitives[L_B] = (long long)lt_bias_CHWN;
primitives[L_F_I] = (long long)lt_in_f;
primitives[L_F_O] = (long long)lt_out_f;
primitives[L_F_W] = (long long)lt_filter_f;
primitives[L_F_B] = (long long)lt_bias_f;
primitives[L_BD_I] = (long long)lt_in_bdata;
primitives[L_BD_O] = (long long)lt_out_bdata;
primitives[L_BD_W] = (long long)lt_filter_bdata;
primitives[L_BF_I] = (long long)lt_in_bfilter;
primitives[L_BF_O] = (long long)lt_out_bfilter;
primitives[L_BF_W] = (long long)lt_filter_bfilter;
primitives[L_I_CHWN] = (long long)lt_in_CHWN;
primitives[L_O_CHWN] = (long long)lt_out_CHWN;
primitives[L_B_B] = (long long)lt_bias_bias;
primitives[L_B_O] = (long long)lt_out_bias;
//input may have user layout (from raw image data,continuous NCHW )
// or maybe mkl layout (is previous mkl-based layer's output)
dnnLayout_t lt_in_real = (dnnLayout_t)input[MKLLayout];
if(lt_in_real==NULL) lt_in_real = lt_in_NCHW;
//create conversion and buff if necessary
dnnPrimitive_t cv_in_f = NULL; float * buf_in_f = NULL;
CHECK_ERR( try_convert(&cv_in_f, &buf_in_f, lt_in_real, lt_in_f) , err );
//create transpose if necessary
float* newPtr = NULL;
if (input[MKLLayout] == 0)
{
newPtr = (float*)malloc(inC*inH*inW*N*sizeof(float));
}
primitives[BUFFER_TRANS_INPUT] = (long long)newPtr;
//save conversion and buff
primitives[BUFFER_FORWARD_INPUT] = (long long)buf_in_f;
primitives[CONVERT_FORWARD_INPUT] = (long long)cv_in_f;
//filter layout
dnnPrimitive_t cv_filter_f = NULL; float * buf_filter_f = NULL;
CHECK_ERR( try_convert(&cv_filter_f, &buf_filter_f, lt_filter, lt_filter_f), err );
primitives[CONVERT_FORWARD_FILTER] = (long long)cv_filter_f;
primitives[BUFFER_FORWARD_FILTER] = (long long)buf_filter_f;
//save user layout for output, and create mkl buffer
//output always has mkl buffer and recorded in layer's primitive
output[CPULayout] = (long long)lt_out_CHWN;
float* buf_out_f = NULL;
CHECK_ERR( dnnAllocateBuffer_F32((void**)(&buf_out_f), lt_out_f), err );
primitives[BUFFER_FORWARD_OUTPUT] = (long long)buf_out_f;
//for bias
dnnPrimitive_t cv_bias_f = NULL; float * buf_bias_f = NULL;
dnnPrimitive_t cv_bias_b = NULL; float * buf_bias_b = NULL;
if (hasBias)
{
CHECK_ERR( try_convert(&cv_bias_f, &buf_bias_f, lt_bias_CHWN, lt_bias_f), err );
}
primitives[CONVERT_FORWARD_BIAS] = (long long)cv_bias_f;
primitives[BUFFER_FORWARD_BIAS] = (long long)buf_bias_f;
return 0;
ERR_RETURN:
return 1;
}
void forward_dilated_conv(float* input,
float* output,
float* weight,
float* bias,
float* input_column,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW);
static int Conv_f_init_dilate(
long long * input,
long long * primitives,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int outC, int outH, int outW)
{
dnnError_t err;
//create layout
size_t inputSize[DIM4] = { inW, inH, inC, N};
size_t outputSize[DIM4] = {outW, outH, outC, N};
size_t inputStridesNCHW[DIM4] = {1, inW, inW*inH, inW*inH*inC};
size_t outputStridesNCHW[DIM4] = {1, outW, outW*outH, outW*outH*outC};
size_t inputStridesCHWN[DIM4] = {N, N*inW, N*inW*inH, 1};
size_t outputStridesCHWN[DIM4] = {N, N*outW, N*outW*outH, 1};
dnnLayout_t lt_in_NCHW, lt_out_NCHW, lt_in_CHWN, lt_out_CHWN;
CHECK_ERR( dnnLayoutCreate_F32(<_in_CHWN, DIM4, inputSize, inputStridesCHWN), err );
CHECK_ERR( dnnLayoutCreate_F32(<_in_NCHW, DIM4, inputSize, inputStridesNCHW), err );
CHECK_ERR( dnnLayoutCreate_F32(<_out_NCHW, DIM4, outputSize, outputStridesNCHW), err );
CHECK_ERR( dnnLayoutCreate_F32(<_out_CHWN, DIM4, outputSize, outputStridesCHWN), err );
//get input
dnnPrimitive_t cv_in_f = NULL;
float* buf_in_f = NULL;
dnnLayout_t layout_mkl = (dnnLayout_t)((long long*)input)[MKLLayout];
if(layout_mkl != NULL) // convert layout from mkl (or NCHW) to NCHW
{
//allocate memory
CHECK_ERR( try_convert(&cv_in_f, &buf_in_f, layout_mkl, lt_in_NCHW) , err );
}
else //convert CHWN to NCHW
{
buf_in_f = malloc(N * inC * inH * inW * sizeof(float));
}
//allocate output with NCHW laytout and transfered input memory
float* output_ptr = malloc(N * outC * outH * outW * sizeof(float));
float* input_col = malloc(N * kH * kW * inC * outH * outW * sizeof(float));
primitives[L_I] = (long long)lt_in_NCHW;
primitives[L_I_CHWN] = (long long)lt_in_CHWN;
primitives[L_O] = (long long)lt_out_NCHW;
primitives[L_O_CHWN] = (long long)lt_out_CHWN;
primitives[CONVERT_FORWARD_INPUT] = (long long)cv_in_f;
primitives[BUFFER_FORWARD_OUTPUT] = (long long)output_ptr;
primitives[BUFFER_TRANS_INPUT] = (long long)input_col;
primitives[BUFFER_FORWARD_INPUT] = (long long)buf_in_f;
ERR_RETURN:
return 0;
}
static int Conv_bdata_init_dilate(
long long * gradout,
long long * primitives,
int N, int inC, int inH, int inW,
int kH, int kW,
int outC, int outH, int outW)
{
dnnError_t err;
dnnLayout_t lt_in_CHWN = (dnnLayout_t)primitives[L_I_CHWN];
dnnLayout_t lt_in_NCHW = (dnnLayout_t)primitives[L_I];
dnnLayout_t lt_out_CHWN = (dnnLayout_t)primitives[L_O_CHWN];
dnnLayout_t lt_out_NCHW = (dnnLayout_t)primitives[L_O];
//allocate output with NCHW laytout and transfered input memory
float* gradinput_col = malloc(kH * kW * inC * outH * outW * sizeof(float));
float* gradinput = malloc(N * inC * inH * inW * sizeof(float));
primitives[BUFFER_BWDDATA_INPUT] = (long long)gradinput;
primitives[BUFFER_GRADINPUT_COL] = (long long)gradinput_col;
//for gradOut
float* gradout_NCHW = NULL;
dnnPrimitive_t cv_out_b = NULL;
dnnLayout_t layout_mkl = (dnnLayout_t)((long long*)gradout)[MKLLayout];
if(layout_mkl != NULL) // convert layout from mkl (or NCHW) to NCHW
{
//allocate memory
CHECK_ERR( try_convert(&cv_out_b, &gradout_NCHW, layout_mkl, lt_out_NCHW) , err );
}
else //convert CHWN to NCHW
{
gradout_NCHW = malloc(N * outC * outH * outW * sizeof(float));
}
primitives[BUFFER_TRANS_OUTPUT] = (long long)gradout_NCHW;
primitives[CONVERT_BWDDATA_OUTPUT] = (long long)cv_out_b;
ERR_RETURN:
return 0;
}
int Conv_forward(
unsigned long long input,
unsigned long long output,
unsigned long long weight,
unsigned long long bias,
unsigned long long dnnprimitives,
int initOk,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW)
{
dnnError_t err;
long long * primitives = (long long* )dnnprimitives;
if(dilH>1 || dilW>1)
{
if(initOk == 0)
{
//for the first time, initialize layout and conversion
Conv_f_init_dilate((long long *)input, primitives,
N, inC, inH, inW, kH, kW, dH, dW, padH, padW, outC, outH, outW);
}
float* in_ptr = GetPtr(input);
dnnLayout_t layout_mkl = (dnnLayout_t)((long long*)input)[MKLLayout];
float* buf_in_f = (float *)(primitives[BUFFER_FORWARD_INPUT]);
if(layout_mkl!=NULL) // convert layout from mkl (or CHWN) to NCHW
{
dnnPrimitive_t cv_in_f = (dnnPrimitive_t)primitives[CONVERT_FORWARD_INPUT];
if(cv_in_f)
{
//if no MKL layout, first transpose CHWN into NCHW
CHECK_ERR( dnnConversionExecute_F32(cv_in_f, in_ptr, buf_in_f), err );
in_ptr = buf_in_f;
}
}
else
{
mkl_somatcopy('r', 't', inC*inH*inW, N, 1.0, in_ptr, N, buf_in_f, inC*inH*inW);
in_ptr = buf_in_f;
}
float* output_ptr = (float*)primitives[BUFFER_FORWARD_OUTPUT];
//for bias
float* bias_ptr = NULL;
if(bias!=0)
bias_ptr = GetPtr(bias);
float* weight_ptr = GetPtr(weight);
//transfered input memory
float* input_column = (float*)primitives[BUFFER_TRANS_INPUT];
//create conversion and buff if necessary
forward_dilated_conv(in_ptr, output_ptr, weight_ptr, bias_ptr, input_column,
N, inC, inH, inW, kH, kW, dH, dW, padH, padW, dilH, dilW, outC, outH, outW);
//set layout info
((long long*)output)[MKLPtr] = (long long)output_ptr;
((long long*)output)[CPULayout] = primitives[L_O_CHWN];
((long long*)output)[MKLLayout] = primitives[L_O];
return 0;
}
if(initOk == 0)
{
int hasBias = 1;
if (bias == 0) hasBias = 0;
//for the first time, initialize layout and conversion
int res = Conv_f_init((long long *)input, (long long *)output, (long long *)weight, primitives,
N, inC, inH, inW, kH, kW, dH, dW, padH, padW, outC, outH, outW, hasBias);
if(res)
{
return 1;
}
}
//get memory as resource
float* resConv[dnnResourceNumber]={0};
float* outPtr = (float*)primitives[BUFFER_FORWARD_OUTPUT];
float* filterPtr = GetPtr(weight);
float* biasPtr = NULL;
resConv[dnnResourceFilter] = filterPtr;
resConv[dnnResourceDst] = outPtr;
float* inPtr = GetPtr(input);
if(bias != 0) resConv[dnnResourceBias] = GetPtr(bias);
//do conversion for input if necessary
float* newPtr = (float*)primitives[BUFFER_TRANS_INPUT];
if( newPtr != NULL)
{
mkl_somatcopy('r', 't', inC*inH*inW, N, 1.0, inPtr, N, newPtr, inC*inH*inW);
inPtr = newPtr;
}
resConv[dnnResourceSrc] = inPtr;
dnnPrimitive_t cv_in_f = (dnnPrimitive_t)primitives[CONVERT_FORWARD_INPUT];
if(cv_in_f)
{
//if no MKL layout, first transpose CHWN into NCHW
float* buf_in_f = (float *)(primitives[BUFFER_FORWARD_INPUT]);
CHECK_ERR( dnnConversionExecute_F32(cv_in_f, inPtr, buf_in_f), err );
resConv[dnnResourceSrc] = buf_in_f;
}
//do conversion for filter if necessary
dnnPrimitive_t cv_filter_f = (dnnPrimitive_t)primitives[CONVERT_FORWARD_FILTER];
if(cv_filter_f)
{
float* buf_filter_f = (float *)(primitives[BUFFER_FORWARD_FILTER]);
CHECK_ERR( dnnConversionExecute_F32(cv_filter_f, filterPtr, buf_filter_f), err );
resConv[dnnResourceFilter] = buf_filter_f;
}
dnnPrimitive_t cv_bias_f = (dnnPrimitive_t)primitives[CONVERT_FORWARD_BIAS];
if (cv_bias_f)
{
biasPtr = GetPtr(bias);
float* buf_bias_f = (float *)primitives[BUFFER_FORWARD_BIAS];
CHECK_ERR( dnnConversionExecute_F32(cv_bias_f, biasPtr, buf_bias_f), err );
resConv[dnnResourceBias] = buf_bias_f;
}
//real execute operation
CHECK_ERR(dnnExecute_F32((dnnPrimitive_t)primitives[FORWARD_INDEX],(void**)resConv),err);
//always fill in MKL information for output
((long long*)output)[MKLPtr] = primitives[BUFFER_FORWARD_OUTPUT];
((long long*)output)[MKLLayout] = (long long)primitives[L_F_O];
return 0;
ERR_RETURN:
return 1;
}
//gradOut: output gradient of CONV layer, known parameters
//gradIn: input gradient, to be calculated
static void Conv_bdata_init(
long long * gradIn,
long long * gradOut,
int N, int oC, int oH, int oW,
long long * weight,
long long * primitives)
{
dnnError_t err;
//get gradOut layout, create conversion if necessary
dnnLayout_t lt_out = (dnnLayout_t)gradOut[MKLLayout];
if(lt_out==NULL)
{
lt_out = (dnnLayout_t)primitives[L_O];
}
dnnPrimitive_t cv_out_bdata = NULL; float * buf_out_bdata = NULL;
CHECK_ERR( try_convert(&cv_out_bdata, &buf_out_bdata, lt_out, (dnnLayout_t)primitives[L_BD_O]) , err );
primitives[CONVERT_BWDDATA_OUTPUT] = (long long)cv_out_bdata;
primitives[BUFFER_BWDDATA_OUTPUT] = (long long)buf_out_bdata;
//for filter
dnnLayout_t lt_filter = (dnnLayout_t)primitives[L_W];
dnnLayout_t lt_filter_bdata = (dnnLayout_t)primitives[L_BD_W];
dnnPrimitive_t cv_filter_bdata = NULL; float * buf_filter_bdata = NULL;
CHECK_ERR( try_convert(&cv_filter_bdata, &buf_filter_bdata, lt_filter, lt_filter_bdata), err );
primitives[BUFFER_BWDDATA_FILTER] = (long long)buf_filter_bdata;
primitives[CONVERT_BWDDATA_FILTER] = (long long)cv_filter_bdata;
//create gradInput layout and memory
dnnLayout_t lt_in_bdata = (dnnLayout_t)primitives[L_BD_I];
float * buf_in_bdata = (float*)(gradIn[CPUPtr]);
CHECK_ERR( dnnAllocateBuffer_F32((void**)(&buf_in_bdata), lt_in_bdata), err );
primitives[BUFFER_BWDDATA_INPUT] = (long long)buf_in_bdata;
gradIn[CPULayout] = (long long)(dnnLayout_t)primitives[L_I_CHWN];
float* gradOutTransPtr = NULL;
if (gradOut[MKLLayout] == 0)
{
gradOutTransPtr = (float*)malloc(N*oC*oH*oW*sizeof(float));
}
primitives[BUFFER_TRANS_OUTPUT] = (long long)gradOutTransPtr;
ERR_RETURN:
return;
}
void backward_dilated_conv(
float* gradout,
float* gradin,
float* weight,
float* gradin_col,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW);
//gradOutput, conv output gradient, also as the input
//gradInput, to be calculated
void Conv_bwdData(
unsigned long long gradOutput,
unsigned long long gradInput,
unsigned long long weight,
unsigned long long dnnprimitives,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW,
int initOk,
const float beta)
{
dnnError_t err;
long long * primitives = (long long *)dnnprimitives;
if(dilH>1 || dilW>1)
{
if(initOk == 0)
{
//for the first time, initialize layout and conversion
Conv_bdata_init_dilate((long long *)gradOutput, primitives,
N, inC, inH, inW, kH, kW, outC, outH, outW);
}
float* gradin_col = (float*)primitives[BUFFER_GRADINPUT_COL];
float* gradout_NCHW = (float*)(primitives[BUFFER_TRANS_OUTPUT]);
float* gradin_NCHW = (float*)primitives[BUFFER_BWDDATA_INPUT];
float* gradout_ptr = GetPtr(gradOutput);
dnnLayout_t layout_mkl = (dnnLayout_t)((long long*)gradOutput)[MKLLayout];
if(layout_mkl!=NULL) // convert layout from mkl (or CHWN) to NCHW
{
dnnPrimitive_t cv_out_b = (dnnPrimitive_t)primitives[CONVERT_BWDDATA_OUTPUT];
if(cv_out_b)
{
//if no MKL layout, first transpose CHWN into NCHW
CHECK_ERR( dnnConversionExecute_F32(cv_out_b, gradout_ptr, gradout_NCHW), err );
gradout_ptr = gradout_NCHW;
}
}
else
{
mkl_somatcopy('r', 't', outC*outH*outW, N, 1.0, gradout_ptr, N, gradout_NCHW, outC*outH*outW);
gradout_ptr = gradout_NCHW;
}
//for bias
float* weight_ptr = GetPtr(weight);
//create conversion and buff if necessary
//gradout_ptr is NCHW, gradin_NCHW is the result, gradin_col is a temp memory
backward_dilated_conv(gradout_ptr, gradin_NCHW, weight_ptr, gradin_col,
N, inC, inH, inW, kH, kW, dH, dW, padH, padW,
dilH, dilW, outC, outH, outW);
if(beta != 0.0)
{
//require to add previous delta
long long* ptr_gradInput = (long long*)gradInput;
float* pFirstBuf = GetPtr(gradInput);
dnnLayout_t layout_pre_delta = (dnnLayout_t)ptr_gradInput[MKLLayout];
if(layout_pre_delta == NULL) layout_pre_delta = (dnnLayout_t)primitives[L_I_CHWN];
dnnLayout_t layout_add_delta = (dnnLayout_t)primitives[L_I];
float* temp_memory = NULL;
if (!dnnLayoutCompare_F32(layout_add_delta, layout_pre_delta))
{
CHECK_ERR( dnnAllocateBuffer_F32((void**)&temp_memory, layout_add_delta) , err );
dnnPrimitive_t cv = NULL;
CHECK_ERR( dnnConversionCreate_F32(&cv, layout_pre_delta, layout_add_delta), err );
CHECK_ERR( dnnConversionExecute_F32(cv, pFirstBuf, temp_memory), err );
pFirstBuf = temp_memory;
}
const long len = (long long)dnnLayoutGetMemorySize_F32(layout_add_delta) / 4 ;
cblas_saxpy(len, 1.0, pFirstBuf, 1, gradin_NCHW, 1);
if (temp_memory != NULL)
dnnReleaseBuffer_F32(temp_memory);
}
//set layout info
((long long*)gradInput)[MKLPtr] = (long long)gradin_NCHW;
((long long*)gradInput)[CPULayout] = primitives[L_I_CHWN];
((long long*)gradInput)[MKLLayout] = primitives[L_I];
return;
}
if(initOk == 0)
{
Conv_bdata_init((long long *)gradInput, (long long *)gradOutput, N, outC, outH, outW, (long long *)weight, primitives);
}
//get resource
float* inPtr = (float*)primitives[BUFFER_BWDDATA_INPUT];
float* outPtr = GetPtr(gradOutput);
float* filterPtr = GetPtr(weight);
float * resConv[dnnResourceNumber]={0};
resConv[dnnResourceDiffSrc] = inPtr;
resConv[dnnResourceFilter] = filterPtr;
//do transpose if necessary
float* newPtr = (float*)primitives[BUFFER_TRANS_OUTPUT];
if (newPtr!=NULL)
{
mkl_somatcopy('r', 't', outC*outH*outW, N, 1.0, outPtr, N, newPtr, outC*outH*outW);
outPtr = newPtr;
}
resConv[dnnResourceDiffDst] = outPtr;
//do conversion if necessary
dnnPrimitive_t cv_out_bdata = (dnnPrimitive_t)primitives[CONVERT_BWDDATA_OUTPUT];
if (cv_out_bdata)
{
float* buf_out_bdata = (float *)(primitives[BUFFER_BWDDATA_OUTPUT]);
CHECK_ERR( dnnConversionExecute_F32(cv_out_bdata, outPtr, buf_out_bdata), err );
resConv[dnnResourceDiffDst] = buf_out_bdata;
}
dnnPrimitive_t cv_filter_bdata = (dnnPrimitive_t)primitives[CONVERT_BWDDATA_FILTER];
if (cv_filter_bdata)
{
float* buf_filter_bdata = (float *)(primitives[BUFFER_BWDDATA_FILTER]);
CHECK_ERR( dnnConversionExecute_F32(cv_filter_bdata, filterPtr, buf_filter_bdata), err );
resConv[dnnResourceFilter] = buf_filter_bdata;
}
CHECK_ERR(dnnExecute_F32((dnnPrimitive_t)primitives[BWD_DATA_INDEX], (void**)resConv),err);
if(beta != 0.0)
{
//require to add previous delta
long long* ptr_gradInput = (long long*)gradInput;
float* pFirstBuf = GetPtr(gradInput);
dnnLayout_t layout_pre_delta = (dnnLayout_t)ptr_gradInput[MKLLayout];
if(layout_pre_delta == NULL) layout_pre_delta = (dnnLayout_t)primitives[L_I_CHWN];
dnnLayout_t layout_add_delta = (dnnLayout_t)primitives[L_BD_I];
float* temp_memory = NULL;
if (!dnnLayoutCompare_F32(layout_add_delta, layout_pre_delta))
{
CHECK_ERR( dnnAllocateBuffer_F32((void**)&temp_memory, layout_add_delta) , err );
dnnPrimitive_t cv = NULL;
CHECK_ERR( dnnConversionCreate_F32(&cv, layout_pre_delta, layout_add_delta), err );
CHECK_ERR( dnnConversionExecute_F32(cv, pFirstBuf, temp_memory), err );
pFirstBuf = temp_memory;
}
const long len = (long long)dnnLayoutGetMemorySize_F32(layout_add_delta) / 4 ;
cblas_saxpy(len, 1.0, pFirstBuf, 1, (float*)primitives[BUFFER_BWDDATA_INPUT], 1);
if (temp_memory != NULL)
dnnReleaseBuffer_F32(temp_memory);
}
((long long*)gradInput)[MKLLayout] = (long long)primitives[L_BD_I];
((long long*)gradInput)[MKLPtr] = (long long)primitives[BUFFER_BWDDATA_INPUT];
ERR_RETURN:
return;
}
static void Conv_bfilter_init(
long long * input,
long long * gradOutput,
long long * gradWeight,
long long * primitives,
int N, int oC, int oH, int oW)
{
dnnError_t err;
//for gradOut
dnnLayout_t lt_out = (dnnLayout_t)(gradOutput[MKLLayout]);
if(lt_out==NULL) lt_out = (dnnLayout_t)primitives[L_O];
dnnPrimitive_t cv_out_bfilter = NULL; float* buf_out_bfilter = NULL;
CHECK_ERR( try_convert(&cv_out_bfilter, &buf_out_bfilter, lt_out, (dnnLayout_t)primitives[L_BF_O]) , err );
primitives[CONVERT_BWDFILTER_OUTPUT] = (long long)cv_out_bfilter;
primitives[BUFFER_BWDFILTER_OUTPUT] = (long long)buf_out_bfilter;
//for the first layer without delta, input gradOut should first be transposed
float* gradOutTransPtr = NULL;
if ( gradOutput[MKLLayout] == 0 && primitives[BUFFER_TRANS_OUTPUT] == 0)
{
gradOutTransPtr = (float*)malloc(N*oC*oH*oW*sizeof(float));
primitives[BUFFER_TRANS_OUTPUT] = (long long)gradOutTransPtr;
}
//for filter
dnnLayout_t lt_filter = (dnnLayout_t)primitives[L_W];
dnnLayout_t lt_filter_bfilter = (dnnLayout_t)primitives[L_BF_W];
dnnPrimitive_t cv_filter_bfilter = NULL; float * buf_filter_bfilter = NULL;
if(!dnnLayoutCompare_F32(lt_filter_bfilter, lt_filter))
{
CHECK_ERR( dnnConversionCreate_F32(&cv_filter_bfilter, lt_filter_bfilter, lt_filter), err);
CHECK_ERR( dnnAllocateBuffer_F32((void**)&buf_filter_bfilter, lt_filter_bfilter), err);
}
primitives[BUFFER_BWDFILTER_FILTER] = (long long)buf_filter_bfilter;
primitives[CONVERT_BWDFILTER_FILTER] = (long long)cv_filter_bfilter;
//for input
dnnLayout_t lt_in_real = (dnnLayout_t)input[MKLLayout];
if(lt_in_real == NULL)
{
lt_in_real = (dnnLayout_t)primitives[L_I];
}
dnnLayout_t lt_in_bfilter = (dnnLayout_t)primitives[L_BF_I];
dnnPrimitive_t cv_in_bfilter = NULL; float* buf_in_bfilter = (float*)(input[CPUPtr]);
CHECK_ERR( try_convert(&cv_in_bfilter, &buf_in_bfilter, lt_in_real, lt_in_bfilter), err );
primitives[BUFFER_BWDFILTER_INPUT] = (long long)buf_in_bfilter;
primitives[CONVERT_BWDFILTER_INPUT] = (long long)cv_in_bfilter;
//if has bias
if (primitives[BDW_BIAS_INDEX] != 0)
{
//convert for grad_bias if necessary
dnnLayout_t lt_bias_bias = (dnnLayout_t)primitives[L_B_B];
dnnLayout_t lt_bias = (dnnLayout_t)primitives[L_B];
dnnPrimitive_t cv_bias_bias = NULL; float * buf_bias_bias = NULL;
CHECK_ERR( dnnConversionCreate_F32(&cv_bias_bias, lt_bias_bias, lt_bias), err);
CHECK_ERR( dnnAllocateBuffer_F32((void**)&buf_bias_bias, lt_bias_bias), err);
primitives[BUFFER_BIAS_BIAS] = (long long)buf_bias_bias;
primitives[CONVERT_BIAS_BIAS] = (long long)cv_bias_bias;
//convert for grad_out if necessary
dnnLayout_t lt_bias_out = (dnnLayout_t)primitives[L_B_O];
dnnPrimitive_t cv_out_bias = NULL; float* buf_out_bias = (float*)(input[CPUPtr]);
CHECK_ERR( try_convert(&cv_out_bias, &buf_out_bias, lt_out, lt_bias_out), err );
primitives[BUFFER_BIAS_OUT] = (long long)buf_out_bias;
primitives[CONVERT_BIAS_OUTPUT] = (long long)cv_out_bias;
}
ERR_RETURN:
return;
}
void bfilter_dilated_conv(
float* gradout,
float* grad_bias,
float* grad_weight,
float* input_col,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW);
void Conv_bwdFilter(
unsigned long long input,
unsigned long long gradOutput,
unsigned long long gradWeight,
unsigned long long gradBias,
unsigned long long dnnprimitives,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW,
int initOk,
int has_delta)
{
dnnError_t err;
long long * primitives = (long long * )dnnprimitives;
if (dilH>1 || dilW>1)
{
float* gradout_NCHW = (float*)(primitives[BUFFER_TRANS_OUTPUT]);
if (gradout_NCHW == NULL)
gradout_NCHW = GetPtr(gradOutput);
float* input_column = (float*)primitives[BUFFER_TRANS_INPUT];
float* gradbias_ptr = NULL;
if (gradBias)
gradbias_ptr = GetPtr(gradBias);
float* gradin_NCHW = (float*)primitives[BUFFER_BWDDATA_INPUT];
float* gradweight_ptr = GetPtr(gradWeight);
if (!has_delta) //for the first layer without delta
{
float* gradout_ptr = GetPtr(gradOutput);
dnnLayout_t layout_mkl = (dnnLayout_t)((long long*)gradOutput)[MKLLayout];
if(layout_mkl!=NULL) // convert layout from mkl (or CHWN) to NCHW
{
dnnPrimitive_t cv_out_b = (dnnPrimitive_t)primitives[CONVERT_BWDDATA_OUTPUT];
if(cv_out_b)
{
//if no MKL layout, first transpose CHWN into NCHW
if(gradout_NCHW=NULL)
{
gradout_NCHW = malloc(N * outC * outH * outW * sizeof(float));
primitives[BUFFER_TRANS_OUTPUT] = (long long)gradout_NCHW;
}
CHECK_ERR( dnnConversionExecute_F32(cv_out_b, gradout_ptr, gradout_NCHW), err );
}
else
{
gradout_NCHW = gradout_ptr;
}
}
else
{
if(gradout_NCHW=NULL)
{
gradout_NCHW = malloc(N * outC * outH * outW * sizeof(float));
primitives[BUFFER_TRANS_OUTPUT] = (long long)gradout_NCHW;
}
mkl_somatcopy('r', 't', outC*outH*outW, N, 1.0, gradout_ptr, N, gradout_NCHW, outC*outH*outW);
}
}
//create conversion and buff if necessary
bfilter_dilated_conv(gradout_NCHW, gradbias_ptr, gradweight_ptr, input_column,
N, inC, inH, inW, kH, kW, dH, dW, padH, padW,
dilH, dilW, outC, outH, outW);
return;
}
if (initOk == 0)
{
Conv_bfilter_init((long long *)input,(long long *)gradOutput,(long long *)gradWeight,
primitives, N, outC, outH, outW);
}
float * inPtr = GetPtr(input);
float * filterPtr = GetPtr(gradWeight);
float * outPtr = GetPtr(gradOutput);
float * resConv[dnnResourceNumber]={0};
float * resBias[dnnResourceNumber]={0};
resConv[dnnResourceDiffFilter] = filterPtr;
//do input conversion if necessary
float* newInputPtr = (float*)primitives[BUFFER_TRANS_INPUT];
if (newInputPtr != NULL)
{
inPtr = newInputPtr;
}
resConv[dnnResourceSrc] = inPtr;
dnnPrimitive_t cv_in_bfilter = (dnnPrimitive_t)primitives[CONVERT_BWDFILTER_INPUT];
if (cv_in_bfilter)
{
float* buf_in_bfilter = (float *)(primitives[BUFFER_BWDFILTER_INPUT]);
CHECK_ERR( dnnConversionExecute_F32(cv_in_bfilter, inPtr, buf_in_bfilter), err );
resConv[dnnResourceSrc] = buf_in_bfilter;
}
//for gradout in cpu layout
float* newGradOutPtr = (float*)primitives[BUFFER_TRANS_OUTPUT];
if (newGradOutPtr != NULL)
{
if (!has_delta) //for the first layer without delta
{
mkl_somatcopy('r', 't', outC*outH*outW, N, 1.0, outPtr, N, newGradOutPtr, outC*outH*outW);
}
outPtr = newGradOutPtr;//use transposed NCHW layout
}
resConv[dnnResourceDiffDst] = outPtr;
//do gradOutput conversion if necessary
dnnPrimitive_t cv_out_bfilter = (dnnPrimitive_t)primitives[CONVERT_BWDFILTER_OUTPUT];
if (cv_out_bfilter)
{
float* buf_out_bfilter = (float *)(primitives[BUFFER_BWDFILTER_OUTPUT]);
CHECK_ERR( dnnConversionExecute_F32(cv_out_bfilter, outPtr, buf_out_bfilter), err );
resConv[dnnResourceDiffDst] = buf_out_bfilter;
resBias[dnnResourceDiffDst] = buf_out_bfilter;
}
dnnPrimitive_t cv_filter_bfilter = (dnnPrimitive_t)primitives[CONVERT_BWDFILTER_FILTER];
float* buf_filter_bfilter = (float *)(primitives[BUFFER_BWDFILTER_FILTER]);
if (cv_filter_bfilter)
{
resConv[dnnResourceDiffFilter] = buf_filter_bfilter;
}
CHECK_ERR(dnnExecute_F32((dnnPrimitive_t)primitives[BWD_FILTER_INDEX],
(void**)resConv), err);
//bias
if (gradBias != 0)
{
float* biasPtr = GetPtr(gradBias);
dnnPrimitive_t cv_bias_bias = (dnnPrimitive_t)primitives[CONVERT_BIAS_BIAS];
resBias[dnnResourceDiffBias] = biasPtr;
if (cv_bias_bias)
{
resBias[dnnResourceDiffBias] = (float*)primitives[BUFFER_BIAS_BIAS];
}
resBias[dnnResourceDiffDst] = outPtr;
dnnPrimitive_t cv_out_bias = (dnnPrimitive_t)primitives[CONVERT_BIAS_OUTPUT];
if (cv_out_bias)
{
float* buf_out_bias = (float*)primitives[BUFFER_BIAS_OUT];
CHECK_ERR( dnnConversionExecute_F32(cv_out_bias, outPtr, buf_out_bias), err );
resBias[dnnResourceDiffDst] = outPtr;
}
CHECK_ERR(dnnExecute_F32((dnnPrimitive_t)primitives[BDW_BIAS_INDEX], (void**)resBias), err);
if (cv_bias_bias)
{
CHECK_ERR( dnnConversionExecute_F32(cv_bias_bias,resBias[dnnResourceDiffBias], biasPtr), err );
}
}
//do gradWeight conversion if necessary
if (cv_filter_bfilter)
{
CHECK_ERR( dnnConversionExecute_F32(cv_filter_bfilter, buf_filter_bfilter, filterPtr), err );
}
ERR_RETURN:
return;
} |
GB_unaryop__minv_int64_uint16.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__minv_int64_uint16
// op(A') function: GB_tran__minv_int64_uint16
// C type: int64_t
// A type: uint16_t
// cast: int64_t cij = (int64_t) aij
// unaryop: cij = GB_IMINV_SIGNED (aij, 64)
#define GB_ATYPE \
uint16_t
#define GB_CTYPE \
int64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IMINV_SIGNED (x, 64) ;
// casting
#define GB_CASTING(z, aij) \
int64_t z = (int64_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINV || GxB_NO_INT64 || GxB_NO_UINT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_int64_uint16
(
int64_t *Cx, // Cx and Ax may be aliased
uint16_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__minv_int64_uint16
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
3d25pt.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-2, 3D 25 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
#ifndef min
#define min(x,y) ((x) < (y)? (x) : (y))
#endif
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
double ***roc2 = (double ***) malloc(sizeof(double**));
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
roc2 = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
roc2[i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
roc2[i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 16;
tile_size[3] = 128;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
roc2[i][j][k] = 2.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
const double coef0 = -0.28472;
const double coef1 = 0.16000;
const double coef2 = -0.02000;
const double coef3 = 0.00254;
const double coef4 = -0.00018;
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* 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<=floord(Nt-1,2);t1++) {
lbp=max(ceild(t1,2),ceild(4*t1-Nt+2,4));
ubp=min(floord(4*Nt+Nz-9,16),floord(8*t1+Nz+2,16));
#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-3,16));t3<=min(min(min(floord(4*Nt+Ny-9,16),floord(8*t1+Ny+7,16)),floord(16*t2+Ny+3,16)),floord(16*t1-16*t2+Nz+Ny+5,16));t3++) {
for (t4=max(max(max(0,ceild(t1-15,16)),ceild(16*t2-Nz-115,128)),ceild(16*t3-Ny-115,128));t4<=min(min(min(min(floord(4*Nt+Nx-9,128),floord(8*t1+Nx+7,128)),floord(16*t2+Nx+3,128)),floord(16*t3+Nx+3,128)),floord(16*t1-16*t2+Nz+Nx+5,128));t4++) {
for (t5=max(max(max(max(max(0,ceild(16*t2-Nz+5,4)),ceild(16*t3-Ny+5,4)),ceild(128*t4-Nx+5,4)),2*t1),4*t1-4*t2+1);t5<=min(min(min(min(min(floord(16*t1-16*t2+Nz+10,4),Nt-1),2*t1+3),4*t2+2),4*t3+2),32*t4+30);t5++) {
for (t6=max(max(16*t2,4*t5+4),-16*t1+16*t2+8*t5-15);t6<=min(min(16*t2+15,-16*t1+16*t2+8*t5),4*t5+Nz-5);t6++) {
for (t7=max(16*t3,4*t5+4);t7<=min(16*t3+15,4*t5+Ny-5);t7++) {
lbv=max(128*t4,4*t5+4);
ubv=min(128*t4+127,4*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)] = (((2.0 * A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) - A[( t5 + 1) % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) + (roc2[ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (((((coef0 * A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) + (coef1 * (((((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)]) + 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)]) + 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]))) + (coef2 * (((((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)]) + 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)]) + 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]))) + (coef3 * (((((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)]) + 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)]) + 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]))) + (coef4 * (((((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)]) + 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)]) + 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, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
free(roc2[i][j]);
}
free(A[0][i]);
free(A[1][i]);
free(roc2[i]);
}
free(A[0]);
free(A[1]);
free(roc2);
return 0;
}
|
GB_binop__le_int64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__le_int64)
// A.*B function (eWiseMult): GB (_AemultB_01__le_int64)
// A.*B function (eWiseMult): GB (_AemultB_02__le_int64)
// A.*B function (eWiseMult): GB (_AemultB_03__le_int64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__le_int64)
// A*D function (colscale): GB (_AxD__le_int64)
// D*A function (rowscale): GB (_DxB__le_int64)
// C+=B function (dense accum): GB (_Cdense_accumB__le_int64)
// C+=b function (dense accum): GB (_Cdense_accumb__le_int64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__le_int64)
// C=scalar+B GB (_bind1st__le_int64)
// C=scalar+B' GB (_bind1st_tran__le_int64)
// C=A+scalar GB (_bind2nd__le_int64)
// C=A'+scalar GB (_bind2nd_tran__le_int64)
// C type: bool
// A type: int64_t
// B,b type: int64_t
// BinaryOp: cij = (aij <= bij)
#define GB_ATYPE \
int64_t
#define GB_BTYPE \
int64_t
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int64_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int64_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x <= y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LE || GxB_NO_INT64 || GxB_NO_LE_INT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__le_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__le_int64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__le_int64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type int64_t
int64_t bwork = (*((int64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__le_int64)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__le_int64)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__le_int64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__le_int64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__le_int64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__le_int64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__le_int64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__le_int64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
int64_t x = (*((int64_t *) x_input)) ;
int64_t *Bx = (int64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int64_t bij = GBX (Bx, p, false) ;
Cx [p] = (x <= bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__le_int64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
int64_t *Ax = (int64_t *) Ax_input ;
int64_t y = (*((int64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int64_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij <= y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x <= aij) ; \
}
GrB_Info GB (_bind1st_tran__le_int64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t x = (*((const int64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij <= y) ; \
}
GrB_Info GB (_bind2nd_tran__le_int64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t y = (*((const int64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
Lorentz_system_calculation.c | #include <stdio.h>
#include <omp.h>
#include <unistd.h>
#include <math.h>
#include <gmp.h>
#include <stdlib.h>
//#define N 200000
//
////int N =2;ßß
//#define Tn 5 //actually N+1
//#define K 10 // order of precision for the use with GMP
int main(int argc, char *argv[]){
int N=400;
int Tn=1200;
double time_s = omp_get_wtime();
int Numt=omp_get_max_threads();
printf("Threads sum = %d\n",Numt);
mpf_t tempv[Numt];
mpf_t sum[2*Numt];
mpf_t X;//=malloc(Tn*sizeof(mpf_t));
mpf_t Y;//=malloc(Tn*sizeof(mpf_t));
mpf_t Z;//=malloc(Tn*sizeof(mpf_t));
mpf_t temp;
mpf_t s1;
mpf_t s2;
mpf_t divs;
mpf_t R;
mpf_t Sigma;
mpf_t b;
int tid=0;
int k=0;
int j=0;
mpf_t x_red;
mpf_t y_red;
mpf_t z_red;
mpf_t tpow;
mpf_t timestep;
mpf_t c;
mpf_t count;
mpf_t x[N+1];
mpf_t y[N+1];
mpf_t z[N+1];
mpf_init(R);mpf_init(Sigma);mpf_init(timestep);mpf_init(b);mpf_init(R);mpf_init(tpow);mpf_init(x_red);mpf_init(X);mpf_init(y_red);mpf_init(Y);mpf_init(z_red);mpf_init(Z);mpf_init(s1);mpf_init(s2);mpf_init(temp);
mpf_init(c);
mpf_init(count);
for (int i = 0; i <(2*Numt); ++i){
mpf_init(sum[i]);
}
for (int i = 0; i <Numt; ++i){
mpf_init(tempv[i]);
}
mpf_init(divs);
for (int i = 0; i <N; ++i)
{
mpf_init(x[i]);
mpf_init(y[i]);
mpf_init(z[i]);
}
mpf_set_d(R,28);
mpf_set_d(Sigma,10);
mpf_set_d(b,8/3);
mpf_set_d(timestep,0.01);
// set initial conditions where at time, t=0;
mpf_set_d(X, - 15.8);
mpf_set_d(Y, - 17.48);
mpf_set_d(Z, 35.64);
printf("initialised completed %d\n",1);
for (int t = 1; t < Tn; t++) // start iterations from t=1 to t=Tn; we know t0
{
mpf_set(x[0], X);
mpf_set(y[0], Y);
mpf_set(z[0],Z);
for (int i = 0; i<N; i++)
{
#pragma omp parallel private(k,tid)
{
tid = omp_get_thread_num();
// printf("hi %d\n",tid);
#pragma omp for
for (k=0; k<=i; k++)
{
mpf_mul(tempv[tid],x[i-k],z[k]);
mpf_add(sum[2*tid],sum[2*tid],tempv[tid]);
mpf_mul(tempv[tid],x[i-k],y[k]);
mpf_add(sum[2*tid+1],sum[2*tid+1],tempv[tid]);
}
}
for (j=0; j<Numt; j++)// maual reduction
{
mpf_add(s1,s1,sum[2*j]);
mpf_add(s2,s2,sum[2*j+1]);
}
// compute the
mpf_set_d(c,1.0);
mpf_set_d(count,i+1.0);
mpf_div(divs ,c,count);
mpf_sub(temp,y[i],x[i]);
mpf_mul(temp,temp,divs);
mpf_mul(x[i+1],temp,Sigma);
mpf_mul(temp,R,x[i]);
mpf_sub(temp,temp,y[i]);
mpf_sub(temp,temp,s1);
mpf_mul(y[i+1],temp,divs);
mpf_mul(temp,b,z[i]);
mpf_sub(temp,s2,temp);
mpf_mul(z[i+1],temp,divs);
}
// compute the next terms of the series after Xn
for(int i=0;i<N;i++){
mpf_pow_ui(tpow,timestep,i);
mpf_mul(temp,x[i],tpow);
mpf_add(x_red,x_red,temp);
mpf_mul(temp,y[i],tpow);
mpf_add(y_red,y_red,temp);
mpf_mul(temp,z[i],tpow);
mpf_add(z_red,z_red,temp);
}
mpf_add(X,X,x_red);
mpf_add(Y,Y,y_red);
mpf_add(Z,Z,z_red);
}
// gmp_printf("X at t = %d is %.5Ff\n",Tn,X);
// gmp_printf("Y t = %d is %.5Ff\n",Tn,Y);
// gmp_printf("Z t = %d is %.5Ff\n",Tn,Z);
time_s = omp_get_wtime()-time_s;
printf("Time elapsed is %fsecs\n", time_s);
return 0;
}
|
GB_subassign_19.c | //------------------------------------------------------------------------------
// GB_subassign_19: C(I,J)<!M,repl> += scalar ; using S
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// Method 19: C(I,J)<!M,repl> += scalar ; using S
// M: present
// Mask_comp: true
// C_replace: true
// accum: present
// A: scalar
// S: constructed
#include "GB_subassign_methods.h"
GrB_Info GB_subassign_19
(
GrB_Matrix C,
// input:
const GrB_Index *I,
const int64_t nI,
const int Ikind,
const int64_t Icolon [3],
const GrB_Index *J,
const int64_t nJ,
const int Jkind,
const int64_t Jcolon [3],
const GrB_Matrix M,
const bool Mask_struct,
const GrB_BinaryOp accum,
const void *scalar,
const GrB_Type atype,
const GrB_Matrix S,
GB_Context Context
)
{
//--------------------------------------------------------------------------
// get inputs
//--------------------------------------------------------------------------
GB_GET_C ;
const bool C_is_hyper = C->is_hyper ;
const int64_t Cnvec = C->nvec ;
const int64_t *GB_RESTRICT Ch = C->h ;
const int64_t *GB_RESTRICT Cp = C->p ;
GB_GET_MASK ;
const bool M_is_hyper = M->is_hyper ;
const int64_t Mnvec = M->nvec ;
GB_GET_S ;
const int64_t *GB_RESTRICT Sh = S->h ;
const int64_t Snvec = S->nvec ;
const bool S_is_hyper = S->is_hyper ;
GB_GET_ACCUM_SCALAR ;
//--------------------------------------------------------------------------
// Method 19: C(I,J)<!M,repl> += scalar ; using S
//--------------------------------------------------------------------------
// Time: Close to optimal; must visit all IxJ, so Omega(|I|*|J|) is
// required. The sparsity of !M cannot be exploited.
// Methods 13, 15, 17, and 19 are very similar.
//--------------------------------------------------------------------------
// Parallel: all IxJ (Methods 01, 03, 13, 15, 17, 19)
//--------------------------------------------------------------------------
GB_SUBASSIGN_IXJ_SLICE ;
//--------------------------------------------------------------------------
// phase 1: create zombies, update entries, and count pending tuples
//--------------------------------------------------------------------------
int taskid ;
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(+:nzombies)
for (taskid = 0 ; taskid < ntasks ; taskid++)
{
//----------------------------------------------------------------------
// get the task descriptor
//----------------------------------------------------------------------
GB_GET_IXJ_TASK_DESCRIPTOR_PHASE1 ;
//----------------------------------------------------------------------
// compute all vectors in this task
//----------------------------------------------------------------------
for (int64_t j = kfirst ; j <= klast ; j++)
{
//------------------------------------------------------------------
// get jC, the corresponding vector of C
//------------------------------------------------------------------
GB_GET_jC ;
//------------------------------------------------------------------
// get S(iA_start:end,j) and M(iA_start:end,j)
//------------------------------------------------------------------
GB_GET_VECTOR_FOR_IXJ (S) ;
GB_GET_VECTOR_FOR_IXJ (M) ;
//------------------------------------------------------------------
// C(I(iA_start,iA_end-1),jC)<!M,repl> += scalar
//------------------------------------------------------------------
for (int64_t iA = iA_start ; iA < iA_end ; iA++)
{
//--------------------------------------------------------------
// Get the indices at the top of each list.
//--------------------------------------------------------------
int64_t iS = (pS < pS_end) ? Si [pS] : INT64_MAX ;
int64_t iM = (pM < pM_end) ? Mi [pM] : INT64_MAX ;
//--------------------------------------------------------------
// find the smallest index of [iS iA iM] (always iA)
//--------------------------------------------------------------
int64_t i = iA ;
//--------------------------------------------------------------
// get M(i,j)
//--------------------------------------------------------------
bool mij ;
if (i == iM)
{
// mij = (bool) M [pM]
mij = GB_mcast (Mx, pM, msize) ;
GB_NEXT (M) ;
}
else
{
// mij not present, implicitly false
ASSERT (i < iM) ;
mij = false ;
}
// complement the mask entry mij since Mask_comp is true
mij = !mij ;
//--------------------------------------------------------------
// accumulate the entry
//--------------------------------------------------------------
if (i == iS)
{
ASSERT (i == iA) ;
{
// both S (i,j) and A (i,j) present
GB_C_S_LOOKUP ;
if (mij)
{
// ----[C A 1] or [X A 1]---------------------------
// [C A 1]: action: ( =C+A ): apply accum
// [X A 1]: action: ( undelete ): zombie lives
GB_withaccum_C_A_1_scalar ;
}
else
{
// ----[C A 0] or [X A 0]---------------------------
// [X A 0]: action: ( X ): still a zombie
// [C A 0]: C_repl: action: ( delete ): zombie
GB_DELETE_ENTRY ;
}
GB_NEXT (S) ;
}
}
else
{
ASSERT (i == iA) ;
{
// S (i,j) is not present, A (i,j) is present
if (mij)
{
// ----[. A 1]--------------------------------------
// [. A 1]: action: ( insert )
task_pending++ ;
}
}
}
}
}
GB_PHASE1_TASK_WRAPUP ;
}
//--------------------------------------------------------------------------
// phase 2: insert pending tuples
//--------------------------------------------------------------------------
GB_PENDING_CUMSUM ;
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(&&:pending_sorted)
for (taskid = 0 ; taskid < ntasks ; taskid++)
{
//----------------------------------------------------------------------
// get the task descriptor
//----------------------------------------------------------------------
GB_GET_IXJ_TASK_DESCRIPTOR_PHASE2 ;
//----------------------------------------------------------------------
// compute all vectors in this task
//----------------------------------------------------------------------
for (int64_t j = kfirst ; j <= klast ; j++)
{
//------------------------------------------------------------------
// get jC, the corresponding vector of C
//------------------------------------------------------------------
GB_GET_jC ;
//------------------------------------------------------------------
// get S(iA_start:end,j) and M(iA_start:end,j)
//------------------------------------------------------------------
GB_GET_VECTOR_FOR_IXJ (S) ;
GB_GET_VECTOR_FOR_IXJ (M) ;
//------------------------------------------------------------------
// C(I(iA_start,iA_end-1),jC)<!M,repl> += scalar
//------------------------------------------------------------------
for (int64_t iA = iA_start ; iA < iA_end ; iA++)
{
//--------------------------------------------------------------
// Get the indices at the top of each list.
//--------------------------------------------------------------
int64_t iS = (pS < pS_end) ? Si [pS] : INT64_MAX ;
int64_t iM = (pM < pM_end) ? Mi [pM] : INT64_MAX ;
//--------------------------------------------------------------
// find the smallest index of [iS iA iM] (always iA)
//--------------------------------------------------------------
int64_t i = iA ;
//--------------------------------------------------------------
// get M(i,j)
//--------------------------------------------------------------
bool mij ;
if (i == iM)
{
// mij = (bool) M [pM]
mij = GB_mcast (Mx, pM, msize) ;
GB_NEXT (M) ;
}
else
{
// mij not present, implicitly false
ASSERT (i < iM) ;
mij = false ;
}
// complement the mask entry mij since Mask_comp is true
mij = !mij ;
//--------------------------------------------------------------
// accumulate the entry
//--------------------------------------------------------------
if (i == iS)
{
ASSERT (i == iA) ;
{
GB_NEXT (S) ;
}
}
else
{
ASSERT (i == iA) ;
{
// S (i,j) is not present, A (i,j) is present
if (mij)
{
// ----[. A 1]--------------------------------------
// [. A 1]: action: ( insert )
int64_t iC = GB_ijlist (I, iA, Ikind, Icolon) ;
GB_PENDING_INSERT (scalar) ;
}
}
}
}
}
GB_PHASE2_TASK_WRAPUP ;
}
//--------------------------------------------------------------------------
// finalize the matrix and return result
//--------------------------------------------------------------------------
GB_SUBASSIGN_WRAPUP ;
}
|
fx.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% FFFFF X X %
% F X X %
% FFF X %
% F X X %
% F X X %
% %
% %
% MagickCore Image Special Effects Methods %
% %
% Software Design %
% Cristy %
% October 1996 %
% %
% %
% Copyright 1999-2018 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/accelerate-private.h"
#include "magick/annotate.h"
#include "magick/artifact.h"
#include "magick/attribute.h"
#include "magick/cache.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/decorate.h"
#include "magick/distort.h"
#include "magick/draw.h"
#include "magick/effect.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/fx.h"
#include "magick/fx-private.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/layer.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/opencl-private.h"
#include "magick/option.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantum.h"
#include "magick/quantum-private.h"
#include "magick/random_.h"
#include "magick/random-private.h"
#include "magick/resample.h"
#include "magick/resample-private.h"
#include "magick/resize.h"
#include "magick/resource_.h"
#include "magick/splay-tree.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/thread-private.h"
#include "magick/transform.h"
#include "magick/utility.h"
/*
Define declarations.
*/
#define LeftShiftOperator 0xf5U
#define RightShiftOperator 0xf6U
#define LessThanEqualOperator 0xf7U
#define GreaterThanEqualOperator 0xf8U
#define EqualOperator 0xf9U
#define NotEqualOperator 0xfaU
#define LogicalAndOperator 0xfbU
#define LogicalOrOperator 0xfcU
#define ExponentialNotation 0xfdU
struct _FxInfo
{
const Image
*images;
char
*expression;
FILE
*file;
SplayTreeInfo
*colors,
*symbols;
CacheView
**view;
RandomInfo
*random_info;
ExceptionInfo
*exception;
};
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A c q u i r e F x I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireFxInfo() allocates the FxInfo structure.
%
% The format of the AcquireFxInfo method is:
%
% FxInfo *AcquireFxInfo(Image *image,const char *expression)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o expression: the expression.
%
*/
MagickExport FxInfo *AcquireFxInfo(const Image *image,const char *expression)
{
char
fx_op[2];
const Image
*next;
FxInfo
*fx_info;
register ssize_t
i;
fx_info=(FxInfo *) AcquireMagickMemory(sizeof(*fx_info));
if (fx_info == (FxInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(fx_info,0,sizeof(*fx_info));
fx_info->exception=AcquireExceptionInfo();
fx_info->images=image;
fx_info->colors=NewSplayTree(CompareSplayTreeString,RelinquishMagickMemory,
RelinquishAlignedMemory);
fx_info->symbols=NewSplayTree(CompareSplayTreeString,RelinquishMagickMemory,
RelinquishMagickMemory);
fx_info->view=(CacheView **) AcquireQuantumMemory(GetImageListLength(
fx_info->images),sizeof(*fx_info->view));
if (fx_info->view == (CacheView **) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
i=0;
next=GetFirstImageInList(fx_info->images);
for ( ; next != (Image *) NULL; next=next->next)
{
fx_info->view[i]=AcquireVirtualCacheView(next,fx_info->exception);
i++;
}
fx_info->random_info=AcquireRandomInfo();
fx_info->expression=ConstantString(expression);
fx_info->file=stderr;
(void) SubstituteString(&fx_info->expression," ",""); /* compact string */
/*
Force right-to-left associativity for unary negation.
*/
(void) SubstituteString(&fx_info->expression,"-","-1.0*");
(void) SubstituteString(&fx_info->expression,"^-1.0*","^-");
(void) SubstituteString(&fx_info->expression,"E-1.0*","E-");
(void) SubstituteString(&fx_info->expression,"e-1.0*","e-");
/*
Convert compound to simple operators.
*/
fx_op[1]='\0';
*fx_op=(char) LeftShiftOperator;
(void) SubstituteString(&fx_info->expression,"<<",fx_op);
*fx_op=(char) RightShiftOperator;
(void) SubstituteString(&fx_info->expression,">>",fx_op);
*fx_op=(char) LessThanEqualOperator;
(void) SubstituteString(&fx_info->expression,"<=",fx_op);
*fx_op=(char) GreaterThanEqualOperator;
(void) SubstituteString(&fx_info->expression,">=",fx_op);
*fx_op=(char) EqualOperator;
(void) SubstituteString(&fx_info->expression,"==",fx_op);
*fx_op=(char) NotEqualOperator;
(void) SubstituteString(&fx_info->expression,"!=",fx_op);
*fx_op=(char) LogicalAndOperator;
(void) SubstituteString(&fx_info->expression,"&&",fx_op);
*fx_op=(char) LogicalOrOperator;
(void) SubstituteString(&fx_info->expression,"||",fx_op);
*fx_op=(char) ExponentialNotation;
(void) SubstituteString(&fx_info->expression,"**",fx_op);
return(fx_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d d N o i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AddNoiseImage() adds random noise to the image.
%
% The format of the AddNoiseImage method is:
%
% Image *AddNoiseImage(const Image *image,const NoiseType noise_type,
% ExceptionInfo *exception)
% Image *AddNoiseImageChannel(const Image *image,const ChannelType channel,
% const NoiseType noise_type,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o noise_type: The type of noise: Uniform, Gaussian, Multiplicative,
% Impulse, Laplacian, or Poisson.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AddNoiseImage(const Image *image,const NoiseType noise_type,
ExceptionInfo *exception)
{
Image
*noise_image;
noise_image=AddNoiseImageChannel(image,DefaultChannels,noise_type,exception);
return(noise_image);
}
MagickExport Image *AddNoiseImageChannel(const Image *image,
const ChannelType channel,const NoiseType noise_type,ExceptionInfo *exception)
{
#define AddNoiseImageTag "AddNoise/Image"
CacheView
*image_view,
*noise_view;
const char
*option;
double
attenuate;
Image
*noise_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
/*
Initialize noise image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
noise_image=AccelerateAddNoiseImage(image,channel,noise_type,exception);
if (noise_image != (Image *) NULL)
return(noise_image);
#endif
noise_image=CloneImage(image,0,0,MagickTrue,exception);
if (noise_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(noise_image,DirectClass) == MagickFalse)
{
InheritException(exception,&noise_image->exception);
noise_image=DestroyImage(noise_image);
return((Image *) NULL);
}
/*
Add noise in each row.
*/
attenuate=1.0;
option=GetImageArtifact(image,"attenuate");
if (option != (char *) NULL)
attenuate=StringToDouble(option,(char **) NULL);
status=MagickTrue;
progress=0;
random_info=AcquireRandomInfoThreadSet();
image_view=AcquireVirtualCacheView(image,exception);
noise_view=AcquireAuthenticCacheView(noise_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,noise_image,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register IndexPacket
*magick_restrict noise_indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewAuthenticPixels(noise_view,0,y,noise_image->columns,1,
exception);
if ((p == (PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
noise_indexes=GetCacheViewAuthenticIndexQueue(noise_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(GenerateDifferentialNoise(random_info[id],
GetPixelRed(p),noise_type,attenuate)));
if (IsGrayColorspace(image->colorspace) != MagickFalse)
{
SetPixelGreen(q,GetPixelRed(q));
SetPixelBlue(q,GetPixelRed(q));
}
else
{
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(GenerateDifferentialNoise(
random_info[id],GetPixelGreen(p),noise_type,attenuate)));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(GenerateDifferentialNoise(
random_info[id],GetPixelBlue(p),noise_type,attenuate)));
}
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(GenerateDifferentialNoise(
random_info[id],GetPixelOpacity(p),noise_type,attenuate)));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(noise_indexes+x,ClampToQuantum(
GenerateDifferentialNoise(random_info[id],GetPixelIndex(
indexes+x),noise_type,attenuate)));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(noise_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,AddNoiseImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
noise_view=DestroyCacheView(noise_view);
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
noise_image=DestroyImage(noise_image);
return(noise_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B l u e S h i f t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BlueShiftImage() mutes the colors of the image to simulate a scene at
% nighttime in the moonlight.
%
% The format of the BlueShiftImage method is:
%
% Image *BlueShiftImage(const Image *image,const double factor,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o factor: the shift factor.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *BlueShiftImage(const Image *image,const double factor,
ExceptionInfo *exception)
{
#define BlueShiftImageTag "BlueShift/Image"
CacheView
*image_view,
*shift_view;
Image
*shift_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Allocate blue shift image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
shift_image=CloneImage(image,0,0,MagickTrue,exception);
if (shift_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(shift_image,DirectClass) == MagickFalse)
{
InheritException(exception,&shift_image->exception);
shift_image=DestroyImage(shift_image);
return((Image *) NULL);
}
/*
Blue-shift DirectClass image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
shift_view=AcquireAuthenticCacheView(shift_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,shift_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel;
Quantum
quantum;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(shift_view,0,y,shift_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
quantum=GetPixelRed(p);
if (GetPixelGreen(p) < quantum)
quantum=GetPixelGreen(p);
if (GetPixelBlue(p) < quantum)
quantum=GetPixelBlue(p);
pixel.red=0.5*(GetPixelRed(p)+factor*quantum);
pixel.green=0.5*(GetPixelGreen(p)+factor*quantum);
pixel.blue=0.5*(GetPixelBlue(p)+factor*quantum);
quantum=GetPixelRed(p);
if (GetPixelGreen(p) > quantum)
quantum=GetPixelGreen(p);
if (GetPixelBlue(p) > quantum)
quantum=GetPixelBlue(p);
pixel.red=0.5*(pixel.red+factor*quantum);
pixel.green=0.5*(pixel.green+factor*quantum);
pixel.blue=0.5*(pixel.blue+factor*quantum);
SetPixelRed(q,ClampToQuantum(pixel.red));
SetPixelGreen(q,ClampToQuantum(pixel.green));
SetPixelBlue(q,ClampToQuantum(pixel.blue));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(shift_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,BlueShiftImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
shift_view=DestroyCacheView(shift_view);
if (status == MagickFalse)
shift_image=DestroyImage(shift_image);
return(shift_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h a r c o a l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CharcoalImage() creates a new image that is a copy of an existing one with
% the edge highlighted. It allocates the memory necessary for the new Image
% structure and returns a pointer to the new image.
%
% The format of the CharcoalImage method is:
%
% Image *CharcoalImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CharcoalImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*charcoal_image,
*clone_image,
*edge_image;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
clone_image=CloneImage(image,0,0,MagickTrue,exception);
if (clone_image == (Image *) NULL)
return((Image *) NULL);
edge_image=EdgeImage(clone_image,radius,exception);
clone_image=DestroyImage(clone_image);
if (edge_image == (Image *) NULL)
return((Image *) NULL);
charcoal_image=BlurImage(edge_image,radius,sigma,exception);
edge_image=DestroyImage(edge_image);
if (charcoal_image == (Image *) NULL)
return((Image *) NULL);
(void) NormalizeImage(charcoal_image);
(void) NegateImage(charcoal_image,MagickFalse);
(void) GrayscaleImage(charcoal_image,image->intensity);
return(charcoal_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorizeImage() blends the fill color with each pixel in the image.
% A percentage blend is specified with opacity. Control the application
% of different color components by specifying a different percentage for
% each component (e.g. 90/100/10 is 90% red, 100% green, and 10% blue).
%
% The format of the ColorizeImage method is:
%
% Image *ColorizeImage(const Image *image,const char *opacity,
% const PixelPacket colorize,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: A character string indicating the level of opacity as a
% percentage.
%
% o colorize: A color value.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ColorizeImage(const Image *image,const char *opacity,
const PixelPacket colorize,ExceptionInfo *exception)
{
#define ColorizeImageTag "Colorize/Image"
CacheView
*colorize_view,
*image_view;
GeometryInfo
geometry_info;
Image
*colorize_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
pixel;
MagickStatusType
flags;
ssize_t
y;
/*
Allocate colorized image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
colorize_image=CloneImage(image,0,0,MagickTrue,exception);
if (colorize_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(colorize_image,DirectClass) == MagickFalse)
{
InheritException(exception,&colorize_image->exception);
colorize_image=DestroyImage(colorize_image);
return((Image *) NULL);
}
if ((IsGrayColorspace(image->colorspace) != MagickFalse) ||
(IsPixelGray(&colorize) != MagickFalse))
(void) SetImageColorspace(colorize_image,sRGBColorspace);
if ((colorize_image->matte == MagickFalse) &&
(colorize.opacity != OpaqueOpacity))
(void) SetImageAlphaChannel(colorize_image,OpaqueAlphaChannel);
if (opacity == (const char *) NULL)
return(colorize_image);
/*
Determine RGB values of the pen color.
*/
flags=ParseGeometry(opacity,&geometry_info);
pixel.red=geometry_info.rho;
pixel.green=geometry_info.rho;
pixel.blue=geometry_info.rho;
pixel.opacity=(MagickRealType) OpaqueOpacity;
if ((flags & SigmaValue) != 0)
pixel.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
pixel.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
pixel.opacity=geometry_info.psi;
/*
Colorize DirectClass image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
colorize_view=AcquireAuthenticCacheView(colorize_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,colorize_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(colorize_view,0,y,colorize_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,((GetPixelRed(p)*(100.0-pixel.red)+
colorize.red*pixel.red)/100.0));
SetPixelGreen(q,((GetPixelGreen(p)*(100.0-pixel.green)+
colorize.green*pixel.green)/100.0));
SetPixelBlue(q,((GetPixelBlue(p)*(100.0-pixel.blue)+
colorize.blue*pixel.blue)/100.0));
if (colorize_image->matte == MagickFalse)
SetPixelOpacity(q,GetPixelOpacity(p));
else
SetPixelOpacity(q,((GetPixelOpacity(p)*(100.0-pixel.opacity)+
colorize.opacity*pixel.opacity)/100.0));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(colorize_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,ColorizeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
colorize_view=DestroyCacheView(colorize_view);
if (status == MagickFalse)
colorize_image=DestroyImage(colorize_image);
return(colorize_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r M a t r i x I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorMatrixImage() applies color transformation to an image. This method
% permits saturation changes, hue rotation, luminance to alpha, and various
% other effects. Although variable-sized transformation matrices can be used,
% typically one uses a 5x5 matrix for an RGBA image and a 6x6 for CMYKA
% (or RGBA with offsets). The matrix is similar to those used by Adobe Flash
% except offsets are in column 6 rather than 5 (in support of CMYKA images)
% and offsets are normalized (divide Flash offset by 255).
%
% The format of the ColorMatrixImage method is:
%
% Image *ColorMatrixImage(const Image *image,
% const KernelInfo *color_matrix,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o color_matrix: the color matrix.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ColorMatrixImage(const Image *image,
const KernelInfo *color_matrix,ExceptionInfo *exception)
{
#define ColorMatrixImageTag "ColorMatrix/Image"
CacheView
*color_view,
*image_view;
double
ColorMatrix[6][6] =
{
{ 1.0, 0.0, 0.0, 0.0, 0.0, 0.0 },
{ 0.0, 1.0, 0.0, 0.0, 0.0, 0.0 },
{ 0.0, 0.0, 1.0, 0.0, 0.0, 0.0 },
{ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0 },
{ 0.0, 0.0, 0.0, 0.0, 1.0, 0.0 },
{ 0.0, 0.0, 0.0, 0.0, 0.0, 1.0 }
};
Image
*color_image;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
u,
v,
y;
/*
Create color matrix.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
i=0;
for (v=0; v < (ssize_t) color_matrix->height; v++)
for (u=0; u < (ssize_t) color_matrix->width; u++)
{
if ((v < 6) && (u < 6))
ColorMatrix[v][u]=color_matrix->values[i];
i++;
}
/*
Initialize color image.
*/
color_image=CloneImage(image,0,0,MagickTrue,exception);
if (color_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(color_image,DirectClass) == MagickFalse)
{
InheritException(exception,&color_image->exception);
color_image=DestroyImage(color_image);
return((Image *) NULL);
}
if (image->debug != MagickFalse)
{
char
format[MaxTextExtent],
*message;
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" ColorMatrix image with color matrix:");
message=AcquireString("");
for (v=0; v < 6; v++)
{
*message='\0';
(void) FormatLocaleString(format,MaxTextExtent,"%.20g: ",(double) v);
(void) ConcatenateString(&message,format);
for (u=0; u < 6; u++)
{
(void) FormatLocaleString(format,MaxTextExtent,"%+f ",
ColorMatrix[v][u]);
(void) ConcatenateString(&message,format);
}
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"%s",message);
}
message=DestroyString(message);
}
/*
ColorMatrix image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
color_view=AcquireAuthenticCacheView(color_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,color_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickRealType
pixel;
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register IndexPacket
*magick_restrict color_indexes;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewAuthenticPixels(color_view,0,y,color_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
color_indexes=GetCacheViewAuthenticIndexQueue(color_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
v;
size_t
height;
height=color_matrix->height > 6 ? 6UL : color_matrix->height;
for (v=0; v < (ssize_t) height; v++)
{
pixel=ColorMatrix[v][0]*GetPixelRed(p)+ColorMatrix[v][1]*
GetPixelGreen(p)+ColorMatrix[v][2]*GetPixelBlue(p);
if (image->matte != MagickFalse)
pixel+=ColorMatrix[v][3]*(QuantumRange-GetPixelOpacity(p));
if (image->colorspace == CMYKColorspace)
pixel+=ColorMatrix[v][4]*GetPixelIndex(indexes+x);
pixel+=QuantumRange*ColorMatrix[v][5];
switch (v)
{
case 0: SetPixelRed(q,ClampToQuantum(pixel)); break;
case 1: SetPixelGreen(q,ClampToQuantum(pixel)); break;
case 2: SetPixelBlue(q,ClampToQuantum(pixel)); break;
case 3:
{
if (image->matte != MagickFalse)
SetPixelAlpha(q,ClampToQuantum(pixel));
break;
}
case 4:
{
if (image->colorspace == CMYKColorspace)
SetPixelIndex(color_indexes+x,ClampToQuantum(pixel));
break;
}
}
}
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(color_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,ColorMatrixImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
color_view=DestroyCacheView(color_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
color_image=DestroyImage(color_image);
return(color_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y F x I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyFxInfo() deallocates memory associated with an FxInfo structure.
%
% The format of the DestroyFxInfo method is:
%
% ImageInfo *DestroyFxInfo(ImageInfo *fx_info)
%
% A description of each parameter follows:
%
% o fx_info: the fx info.
%
*/
MagickExport FxInfo *DestroyFxInfo(FxInfo *fx_info)
{
register ssize_t
i;
fx_info->exception=DestroyExceptionInfo(fx_info->exception);
fx_info->expression=DestroyString(fx_info->expression);
fx_info->symbols=DestroySplayTree(fx_info->symbols);
fx_info->colors=DestroySplayTree(fx_info->colors);
for (i=(ssize_t) GetImageListLength(fx_info->images)-1; i >= 0; i--)
fx_info->view[i]=DestroyCacheView(fx_info->view[i]);
fx_info->view=(CacheView **) RelinquishMagickMemory(fx_info->view);
fx_info->random_info=DestroyRandomInfo(fx_info->random_info);
fx_info=(FxInfo *) RelinquishMagickMemory(fx_info);
return(fx_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ F x E v a l u a t e C h a n n e l E x p r e s s i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FxEvaluateChannelExpression() evaluates an expression and returns the
% results.
%
% The format of the FxEvaluateExpression method is:
%
% MagickBooleanType FxEvaluateChannelExpression(FxInfo *fx_info,
% const ChannelType channel,const ssize_t x,const ssize_t y,
% double *alpha,Exceptioninfo *exception)
% MagickBooleanType FxEvaluateExpression(FxInfo *fx_info,double *alpha,
% Exceptioninfo *exception)
%
% A description of each parameter follows:
%
% o fx_info: the fx info.
%
% o channel: the channel.
%
% o x,y: the pixel position.
%
% o alpha: the result.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double FxChannelStatistics(FxInfo *fx_info,const Image *image,
ChannelType channel,const char *symbol,ExceptionInfo *exception)
{
char
channel_symbol[MaxTextExtent],
key[MaxTextExtent],
statistic[MaxTextExtent];
const char
*value;
register const char
*p;
for (p=symbol; (*p != '.') && (*p != '\0'); p++) ;
*channel_symbol='\0';
if (*p == '.')
{
ssize_t
option;
(void) CopyMagickString(channel_symbol,p+1,MaxTextExtent);
option=ParseCommandOption(MagickChannelOptions,MagickTrue,channel_symbol);
if (option >= 0)
channel=(ChannelType) option;
}
(void) FormatLocaleString(key,MaxTextExtent,"%p.%.20g.%s",(void *) image,
(double) channel,symbol);
value=(const char *) GetValueFromSplayTree(fx_info->symbols,key);
if (value != (const char *) NULL)
return(QuantumScale*StringToDouble(value,(char **) NULL));
(void) DeleteNodeFromSplayTree(fx_info->symbols,key);
if (LocaleNCompare(symbol,"depth",5) == 0)
{
size_t
depth;
depth=GetImageChannelDepth(image,channel,exception);
(void) FormatLocaleString(statistic,MaxTextExtent,"%.20g",(double) depth);
}
if (LocaleNCompare(symbol,"kurtosis",8) == 0)
{
double
kurtosis,
skewness;
(void) GetImageChannelKurtosis(image,channel,&kurtosis,&skewness,
exception);
(void) FormatLocaleString(statistic,MaxTextExtent,"%.20g",kurtosis);
}
if (LocaleNCompare(symbol,"maxima",6) == 0)
{
double
maxima,
minima;
(void) GetImageChannelRange(image,channel,&minima,&maxima,exception);
(void) FormatLocaleString(statistic,MaxTextExtent,"%.20g",maxima);
}
if (LocaleNCompare(symbol,"mean",4) == 0)
{
double
mean,
standard_deviation;
(void) GetImageChannelMean(image,channel,&mean,&standard_deviation,
exception);
(void) FormatLocaleString(statistic,MaxTextExtent,"%.20g",mean);
}
if (LocaleNCompare(symbol,"minima",6) == 0)
{
double
maxima,
minima;
(void) GetImageChannelRange(image,channel,&minima,&maxima,exception);
(void) FormatLocaleString(statistic,MaxTextExtent,"%.20g",minima);
}
if (LocaleNCompare(symbol,"skewness",8) == 0)
{
double
kurtosis,
skewness;
(void) GetImageChannelKurtosis(image,channel,&kurtosis,&skewness,
exception);
(void) FormatLocaleString(statistic,MaxTextExtent,"%.20g",skewness);
}
if (LocaleNCompare(symbol,"standard_deviation",18) == 0)
{
double
mean,
standard_deviation;
(void) GetImageChannelMean(image,channel,&mean,&standard_deviation,
exception);
(void) FormatLocaleString(statistic,MaxTextExtent,"%.20g",
standard_deviation);
}
(void) AddValueToSplayTree(fx_info->symbols,ConstantString(key),
ConstantString(statistic));
return(QuantumScale*StringToDouble(statistic,(char **) NULL));
}
static double
FxEvaluateSubexpression(FxInfo *,const ChannelType,const ssize_t,
const ssize_t,const char *,const size_t,double *,ExceptionInfo *);
static MagickOffsetType FxGCD(MagickOffsetType alpha,MagickOffsetType beta)
{
if (beta != 0)
return(FxGCD(beta,alpha % beta));
return(alpha);
}
static inline const char *FxSubexpression(const char *expression,
ExceptionInfo *exception)
{
const char
*subexpression;
register ssize_t
level;
level=0;
subexpression=expression;
while ((*subexpression != '\0') &&
((level != 1) || (strchr(")",(int) *subexpression) == (char *) NULL)))
{
if (strchr("(",(int) *subexpression) != (char *) NULL)
level++;
else
if (strchr(")",(int) *subexpression) != (char *) NULL)
level--;
subexpression++;
}
if (*subexpression == '\0')
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnbalancedParenthesis","`%s'",expression);
return(subexpression);
}
static double FxGetSymbol(FxInfo *fx_info,const ChannelType channel,
const ssize_t x,const ssize_t y,const char *expression,const size_t depth,
ExceptionInfo *exception)
{
char
*q,
symbol[MaxTextExtent];
const char
*p,
*value;
double
alpha,
beta;
Image
*image;
MagickBooleanType
status;
MagickPixelPacket
pixel;
PointInfo
point;
register ssize_t
i;
size_t
level;
p=expression;
i=GetImageIndexInList(fx_info->images);
level=0;
point.x=(double) x;
point.y=(double) y;
if (isalpha((int) ((unsigned char) *(p+1))) == 0)
{
char
*subexpression;
subexpression=AcquireString(expression);
if (strchr("suv",(int) *p) != (char *) NULL)
{
switch (*p)
{
case 's':
default:
{
i=GetImageIndexInList(fx_info->images);
break;
}
case 'u': i=0; break;
case 'v': i=1; break;
}
p++;
if (*p == '[')
{
level++;
q=subexpression;
for (p++; *p != '\0'; )
{
if (*p == '[')
level++;
else
if (*p == ']')
{
level--;
if (level == 0)
break;
}
*q++=(*p++);
}
*q='\0';
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,
depth,&beta,exception);
i=(ssize_t) alpha;
if (*p != '\0')
p++;
}
if (*p == '.')
p++;
}
if ((*p == 'p') && (isalpha((int) ((unsigned char) *(p+1))) == 0))
{
p++;
if (*p == '{')
{
level++;
q=subexpression;
for (p++; *p != '\0'; )
{
if (*p == '{')
level++;
else
if (*p == '}')
{
level--;
if (level == 0)
break;
}
*q++=(*p++);
}
*q='\0';
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,
depth,&beta,exception);
point.x=alpha;
point.y=beta;
if (*p != '\0')
p++;
}
else
if (*p == '[')
{
level++;
q=subexpression;
for (p++; *p != '\0'; )
{
if (*p == '[')
level++;
else
if (*p == ']')
{
level--;
if (level == 0)
break;
}
*q++=(*p++);
}
*q='\0';
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,
depth,&beta,exception);
point.x+=alpha;
point.y+=beta;
if (*p != '\0')
p++;
}
if (*p == '.')
p++;
}
subexpression=DestroyString(subexpression);
}
image=GetImageFromList(fx_info->images,i);
if (image == (Image *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"NoSuchImage","`%s'",expression);
return(0.0);
}
i=GetImageIndexInList(image);
GetMagickPixelPacket(image,&pixel);
status=InterpolateMagickPixelPacket(image,fx_info->view[i],image->interpolate,
point.x,point.y,&pixel,exception);
(void) status;
if ((strlen(p) > 2) &&
(LocaleCompare(p,"intensity") != 0) &&
(LocaleCompare(p,"luma") != 0) &&
(LocaleCompare(p,"luminance") != 0) &&
(LocaleCompare(p,"hue") != 0) &&
(LocaleCompare(p,"saturation") != 0) &&
(LocaleCompare(p,"lightness") != 0))
{
char
name[MaxTextExtent];
(void) CopyMagickString(name,p,MaxTextExtent);
for (q=name+(strlen(name)-1); q > name; q--)
{
if (*q == ')')
break;
if (*q == '.')
{
*q='\0';
break;
}
}
if ((strlen(name) > 2) &&
(GetValueFromSplayTree(fx_info->symbols,name) == (const char *) NULL))
{
MagickPixelPacket
*color;
color=(MagickPixelPacket *) GetValueFromSplayTree(fx_info->colors,
name);
if (color != (MagickPixelPacket *) NULL)
{
pixel=(*color);
p+=strlen(name);
}
else
if (QueryMagickColor(name,&pixel,fx_info->exception) != MagickFalse)
{
(void) AddValueToSplayTree(fx_info->colors,ConstantString(name),
CloneMagickPixelPacket(&pixel));
p+=strlen(name);
}
}
}
(void) CopyMagickString(symbol,p,MaxTextExtent);
StripString(symbol);
if (*symbol == '\0')
{
switch (channel)
{
case RedChannel: return(QuantumScale*pixel.red);
case GreenChannel: return(QuantumScale*pixel.green);
case BlueChannel: return(QuantumScale*pixel.blue);
case OpacityChannel:
{
double
alpha;
if (pixel.matte == MagickFalse)
return(1.0);
alpha=(double) (QuantumScale*GetPixelAlpha(&pixel));
return(alpha);
}
case IndexChannel:
{
if (image->colorspace != CMYKColorspace)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ImageError,"ColorSeparatedImageRequired","`%s'",
image->filename);
return(0.0);
}
return(QuantumScale*pixel.index);
}
case DefaultChannels:
return(QuantumScale*GetMagickPixelIntensity(image,&pixel));
default:
break;
}
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnableToParseExpression","`%s'",p);
return(0.0);
}
switch (*symbol)
{
case 'A':
case 'a':
{
if (LocaleCompare(symbol,"a") == 0)
return((double) (QuantumScale*GetPixelAlpha(&pixel)));
break;
}
case 'B':
case 'b':
{
if (LocaleCompare(symbol,"b") == 0)
return(QuantumScale*pixel.blue);
break;
}
case 'C':
case 'c':
{
if (LocaleNCompare(symbol,"channel",7) == 0)
{
GeometryInfo
channel_info;
MagickStatusType
flags;
flags=ParseGeometry(symbol+7,&channel_info);
if (image->colorspace == CMYKColorspace)
switch (channel)
{
case CyanChannel:
{
if ((flags & RhoValue) == 0)
return(0.0);
return(channel_info.rho);
}
case MagentaChannel:
{
if ((flags & SigmaValue) == 0)
return(0.0);
return(channel_info.sigma);
}
case YellowChannel:
{
if ((flags & XiValue) == 0)
return(0.0);
return(channel_info.xi);
}
case BlackChannel:
{
if ((flags & PsiValue) == 0)
return(0.0);
return(channel_info.psi);
}
case OpacityChannel:
{
if ((flags & ChiValue) == 0)
return(0.0);
return(channel_info.chi);
}
default:
return(0.0);
}
switch (channel)
{
case RedChannel:
{
if ((flags & RhoValue) == 0)
return(0.0);
return(channel_info.rho);
}
case GreenChannel:
{
if ((flags & SigmaValue) == 0)
return(0.0);
return(channel_info.sigma);
}
case BlueChannel:
{
if ((flags & XiValue) == 0)
return(0.0);
return(channel_info.xi);
}
case OpacityChannel:
{
if ((flags & PsiValue) == 0)
return(0.0);
return(channel_info.psi);
}
case IndexChannel:
{
if ((flags & ChiValue) == 0)
return(0.0);
return(channel_info.chi);
}
default:
return(0.0);
}
}
if (LocaleCompare(symbol,"c") == 0)
return(QuantumScale*pixel.red);
break;
}
case 'D':
case 'd':
{
if (LocaleNCompare(symbol,"depth",5) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
break;
}
case 'E':
case 'e':
{
if (LocaleCompare(symbol,"extent") == 0)
{
if (image->extent != 0)
return((double) image->extent);
return((double) GetBlobSize(image));
}
break;
}
case 'G':
case 'g':
{
if (LocaleCompare(symbol,"g") == 0)
return(QuantumScale*pixel.green);
break;
}
case 'K':
case 'k':
{
if (LocaleNCompare(symbol,"kurtosis",8) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleCompare(symbol,"k") == 0)
{
if (image->colorspace != CMYKColorspace)
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ColorSeparatedImageRequired","`%s'",
image->filename);
return(0.0);
}
return(QuantumScale*pixel.index);
}
break;
}
case 'H':
case 'h':
{
if (LocaleCompare(symbol,"h") == 0)
return((double) image->rows);
if (LocaleCompare(symbol,"hue") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(ClampToQuantum(pixel.red),ClampToQuantum(pixel.green),
ClampToQuantum(pixel.blue),&hue,&saturation,&lightness);
return(hue);
}
break;
}
case 'I':
case 'i':
{
if ((LocaleCompare(symbol,"image.depth") == 0) ||
(LocaleCompare(symbol,"image.minima") == 0) ||
(LocaleCompare(symbol,"image.maxima") == 0) ||
(LocaleCompare(symbol,"image.mean") == 0) ||
(LocaleCompare(symbol,"image.kurtosis") == 0) ||
(LocaleCompare(symbol,"image.skewness") == 0) ||
(LocaleCompare(symbol,"image.standard_deviation") == 0))
return(FxChannelStatistics(fx_info,image,channel,symbol+6,exception));
if (LocaleCompare(symbol,"image.resolution.x") == 0)
return(image->x_resolution);
if (LocaleCompare(symbol,"image.resolution.y") == 0)
return(image->y_resolution);
if (LocaleCompare(symbol,"intensity") == 0)
return(QuantumScale*GetMagickPixelIntensity(image,&pixel));
if (LocaleCompare(symbol,"i") == 0)
return((double) x);
break;
}
case 'J':
case 'j':
{
if (LocaleCompare(symbol,"j") == 0)
return((double) y);
break;
}
case 'L':
case 'l':
{
if (LocaleCompare(symbol,"lightness") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(ClampToQuantum(pixel.red),ClampToQuantum(pixel.green),
ClampToQuantum(pixel.blue),&hue,&saturation,&lightness);
return(lightness);
}
if (LocaleCompare(symbol,"luma") == 0)
{
double
luma;
luma=0.212656*pixel.red+0.715158*pixel.green+0.072186*pixel.blue;
return(QuantumScale*luma);
}
if (LocaleCompare(symbol,"luminance") == 0)
{
double
luminance;
luminance=0.212656*pixel.red+0.715158*pixel.green+0.072186*pixel.blue;
return(QuantumScale*luminance);
}
break;
}
case 'M':
case 'm':
{
if (LocaleNCompare(symbol,"maxima",6) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleNCompare(symbol,"mean",4) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleNCompare(symbol,"minima",6) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleCompare(symbol,"m") == 0)
return(QuantumScale*pixel.green);
break;
}
case 'N':
case 'n':
{
if (LocaleCompare(symbol,"n") == 0)
return((double) GetImageListLength(fx_info->images));
break;
}
case 'O':
case 'o':
{
if (LocaleCompare(symbol,"o") == 0)
return(QuantumScale*pixel.opacity);
break;
}
case 'P':
case 'p':
{
if (LocaleCompare(symbol,"page.height") == 0)
return((double) image->page.height);
if (LocaleCompare(symbol,"page.width") == 0)
return((double) image->page.width);
if (LocaleCompare(symbol,"page.x") == 0)
return((double) image->page.x);
if (LocaleCompare(symbol,"page.y") == 0)
return((double) image->page.y);
if (LocaleCompare(symbol,"printsize.x") == 0)
return(PerceptibleReciprocal(image->x_resolution)*image->columns);
if (LocaleCompare(symbol,"printsize.y") == 0)
return(PerceptibleReciprocal(image->y_resolution)*image->rows);
break;
}
case 'Q':
case 'q':
{
if (LocaleCompare(symbol,"quality") == 0)
return((double) image->quality);
break;
}
case 'R':
case 'r':
{
if (LocaleCompare(symbol,"resolution.x") == 0)
return(image->x_resolution);
if (LocaleCompare(symbol,"resolution.y") == 0)
return(image->y_resolution);
if (LocaleCompare(symbol,"r") == 0)
return(QuantumScale*pixel.red);
break;
}
case 'S':
case 's':
{
if (LocaleCompare(symbol,"saturation") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(ClampToQuantum(pixel.red),ClampToQuantum(pixel.green),
ClampToQuantum(pixel.blue),&hue,&saturation,&lightness);
return(saturation);
}
if (LocaleNCompare(symbol,"skewness",8) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleNCompare(symbol,"standard_deviation",18) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
break;
}
case 'T':
case 't':
{
if (LocaleCompare(symbol,"t") == 0)
return((double) GetImageIndexInList(fx_info->images));
break;
}
case 'W':
case 'w':
{
if (LocaleCompare(symbol,"w") == 0)
return((double) image->columns);
break;
}
case 'Y':
case 'y':
{
if (LocaleCompare(symbol,"y") == 0)
return(QuantumScale*pixel.blue);
break;
}
case 'Z':
case 'z':
{
if (LocaleCompare(symbol,"z") == 0)
{
double
depth;
depth=(double) GetImageChannelDepth(image,channel,fx_info->exception);
return(depth);
}
break;
}
default:
break;
}
value=(const char *) GetValueFromSplayTree(fx_info->symbols,symbol);
if (value != (const char *) NULL)
return(StringToDouble(value,(char **) NULL));
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnableToParseExpression","`%s'",symbol);
return(0.0);
}
static const char *FxOperatorPrecedence(const char *expression,
ExceptionInfo *exception)
{
typedef enum
{
UndefinedPrecedence,
NullPrecedence,
BitwiseComplementPrecedence,
ExponentPrecedence,
ExponentialNotationPrecedence,
MultiplyPrecedence,
AdditionPrecedence,
ShiftPrecedence,
RelationalPrecedence,
EquivalencyPrecedence,
BitwiseAndPrecedence,
BitwiseOrPrecedence,
LogicalAndPrecedence,
LogicalOrPrecedence,
TernaryPrecedence,
AssignmentPrecedence,
CommaPrecedence,
SeparatorPrecedence
} FxPrecedence;
FxPrecedence
precedence,
target;
register const char
*subexpression;
register int
c;
size_t
level;
c=(-1);
level=0;
subexpression=(const char *) NULL;
target=NullPrecedence;
while ((c != '\0') && (*expression != '\0'))
{
precedence=UndefinedPrecedence;
if ((isspace((int) ((unsigned char) *expression)) != 0) || (c == (int) '@'))
{
expression++;
continue;
}
switch (*expression)
{
case 'A':
case 'a':
{
#if defined(MAGICKCORE_HAVE_ACOSH)
if (LocaleNCompare(expression,"acosh",5) == 0)
{
expression+=5;
break;
}
#endif
#if defined(MAGICKCORE_HAVE_ASINH)
if (LocaleNCompare(expression,"asinh",5) == 0)
{
expression+=5;
break;
}
#endif
#if defined(MAGICKCORE_HAVE_ATANH)
if (LocaleNCompare(expression,"atanh",5) == 0)
{
expression+=5;
break;
}
#endif
if (LocaleNCompare(expression,"atan2",5) == 0)
{
expression+=5;
break;
}
break;
}
case 'E':
case 'e':
{
if ((isdigit(c) != 0) &&
((LocaleNCompare(expression,"E+",2) == 0) ||
(LocaleNCompare(expression,"E-",2) == 0)))
{
expression+=2; /* scientific notation */
break;
}
}
case 'J':
case 'j':
{
if ((LocaleNCompare(expression,"j0",2) == 0) ||
(LocaleNCompare(expression,"j1",2) == 0))
{
expression+=2;
break;
}
break;
}
case '#':
{
while (isxdigit((int) ((unsigned char) *(expression+1))) != 0)
expression++;
break;
}
default:
break;
}
if ((c == (int) '{') || (c == (int) '['))
level++;
else
if ((c == (int) '}') || (c == (int) ']'))
level--;
if (level == 0)
switch ((unsigned char) *expression)
{
case '~':
case '!':
{
precedence=BitwiseComplementPrecedence;
break;
}
case '^':
case '@':
{
precedence=ExponentPrecedence;
break;
}
default:
{
if (((c != 0) && ((isdigit(c) != 0) ||
(strchr(")",c) != (char *) NULL))) &&
(((islower((int) ((unsigned char) *expression)) != 0) ||
(strchr("(",(int) ((unsigned char) *expression)) != (char *) NULL)) ||
((isdigit(c) == 0) &&
(isdigit((int) ((unsigned char) *expression)) != 0))) &&
(strchr("xy",(int) ((unsigned char) *expression)) == (char *) NULL))
precedence=MultiplyPrecedence;
break;
}
case '*':
case '/':
case '%':
{
precedence=MultiplyPrecedence;
break;
}
case '+':
case '-':
{
if ((strchr("(+-/*%:&^|<>~,",c) == (char *) NULL) ||
(isalpha(c) != 0))
precedence=AdditionPrecedence;
break;
}
case LeftShiftOperator:
case RightShiftOperator:
{
precedence=ShiftPrecedence;
break;
}
case '<':
case LessThanEqualOperator:
case GreaterThanEqualOperator:
case '>':
{
precedence=RelationalPrecedence;
break;
}
case EqualOperator:
case NotEqualOperator:
{
precedence=EquivalencyPrecedence;
break;
}
case '&':
{
precedence=BitwiseAndPrecedence;
break;
}
case '|':
{
precedence=BitwiseOrPrecedence;
break;
}
case LogicalAndOperator:
{
precedence=LogicalAndPrecedence;
break;
}
case LogicalOrOperator:
{
precedence=LogicalOrPrecedence;
break;
}
case ExponentialNotation:
{
precedence=ExponentialNotationPrecedence;
break;
}
case ':':
case '?':
{
precedence=TernaryPrecedence;
break;
}
case '=':
{
precedence=AssignmentPrecedence;
break;
}
case ',':
{
precedence=CommaPrecedence;
break;
}
case ';':
{
precedence=SeparatorPrecedence;
break;
}
}
if ((precedence == BitwiseComplementPrecedence) ||
(precedence == TernaryPrecedence) ||
(precedence == AssignmentPrecedence))
{
if (precedence > target)
{
/*
Right-to-left associativity.
*/
target=precedence;
subexpression=expression;
}
}
else
if (precedence >= target)
{
/*
Left-to-right associativity.
*/
target=precedence;
subexpression=expression;
}
if (strchr("(",(int) *expression) != (char *) NULL)
expression=FxSubexpression(expression,exception);
c=(int) (*expression++);
}
return(subexpression);
}
static double FxEvaluateSubexpression(FxInfo *fx_info,const ChannelType channel,
const ssize_t x,const ssize_t y,const char *expression,const size_t depth,
double *beta,ExceptionInfo *exception)
{
#define FxMaxParenthesisDepth 58
#define FxMaxSubexpressionDepth 200
#define FxReturn(value) \
{ \
subexpression=DestroyString(subexpression); \
return(value); \
}
char
*q,
*subexpression;
double
alpha,
gamma;
register const char
*p;
*beta=0.0;
subexpression=AcquireString(expression);
*subexpression='\0';
if (depth > FxMaxSubexpressionDepth)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnableToParseExpression","`%s'",expression);
FxReturn(0.0);
}
if (exception->severity >= ErrorException)
FxReturn(0.0);
while (isspace((int) ((unsigned char) *expression)) != 0)
expression++;
if (*expression == '\0')
FxReturn(0.0);
p=FxOperatorPrecedence(expression,exception);
if (p != (const char *) NULL)
{
(void) CopyMagickString(subexpression,expression,(size_t)
(p-expression+1));
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,depth+1,
beta,exception);
switch ((unsigned char) *p)
{
case '~':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=(double) (~(size_t) *beta);
FxReturn(*beta);
}
case '!':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(*beta == 0.0 ? 1.0 : 0.0);
}
case '^':
{
*beta=pow(alpha,FxEvaluateSubexpression(fx_info,channel,x,y,++p,
depth+1,beta,exception));
FxReturn(*beta);
}
case '*':
case ExponentialNotation:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha*(*beta));
}
case '/':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
if (*beta == 0.0)
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"DivideByZero","`%s'",expression);
FxReturn(0.0);
}
FxReturn(alpha/(*beta));
}
case '%':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=fabs(floor((*beta)+0.5));
if (*beta == 0.0)
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"DivideByZero","`%s'",expression);
FxReturn(0.0);
}
FxReturn(fmod(alpha,(double) *beta));
}
case '+':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha+(*beta));
}
case '-':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha-(*beta));
}
case LeftShiftOperator:
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
if ((size_t) (gamma+0.5) > (8*sizeof(size_t)))
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ShiftCountOverflow","`%s'",subexpression);
FxReturn(0.0);
}
*beta=(double) ((size_t) (alpha+0.5) << (size_t) (gamma+0.5));
FxReturn(*beta);
}
case RightShiftOperator:
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
if ((size_t) (gamma+0.5) > (8*sizeof(size_t)))
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ShiftCountOverflow","`%s'",subexpression);
FxReturn(0.0);
}
*beta=(double) ((size_t) (alpha+0.5) >> (size_t) (gamma+0.5));
FxReturn(*beta);
}
case '<':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha < *beta ? 1.0 : 0.0);
}
case LessThanEqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha <= *beta ? 1.0 : 0.0);
}
case '>':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha > *beta ? 1.0 : 0.0);
}
case GreaterThanEqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha >= *beta ? 1.0 : 0.0);
}
case EqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(fabs(alpha-(*beta)) < MagickEpsilon ? 1.0 : 0.0);
}
case NotEqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(fabs(alpha-(*beta)) >= MagickEpsilon ? 1.0 : 0.0);
}
case '&':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=(double) ((size_t) (alpha+0.5) & (size_t) (gamma+0.5));
FxReturn(*beta);
}
case '|':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=(double) ((size_t) (alpha+0.5) | (size_t) (gamma+0.5));
FxReturn(*beta);
}
case LogicalAndOperator:
{
p++;
if (alpha <= 0.0)
{
*beta=0.0;
FxReturn(*beta);
}
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,beta,
exception);
*beta=(gamma > 0.0) ? 1.0 : 0.0;
FxReturn(*beta);
}
case LogicalOrOperator:
{
p++;
if (alpha > 0.0)
{
*beta=1.0;
FxReturn(*beta);
}
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,beta,
exception);
*beta=(gamma > 0.0) ? 1.0 : 0.0;
FxReturn(*beta);
}
case '?':
{
double
gamma;
(void) CopyMagickString(subexpression,++p,MaxTextExtent);
q=subexpression;
p=StringToken(":",&q);
if (q == (char *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
if (fabs(alpha) >= MagickEpsilon)
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,beta,
exception);
else
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,q,depth+1,beta,
exception);
FxReturn(gamma);
}
case '=':
{
char
numeric[MaxTextExtent];
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
(void) FormatLocaleString(numeric,MaxTextExtent,"%.20g",(double)
*beta);
(void) DeleteNodeFromSplayTree(fx_info->symbols,subexpression);
(void) AddValueToSplayTree(fx_info->symbols,ConstantString(
subexpression),ConstantString(numeric));
FxReturn(*beta);
}
case ',':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha);
}
case ';':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(*beta);
}
default:
{
gamma=alpha*FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,
beta,exception);
FxReturn(gamma);
}
}
}
if (strchr("(",(int) *expression) != (char *) NULL)
{
if (depth >= FxMaxParenthesisDepth)
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"ParenthesisNestedTooDeeply","`%s'",expression);
(void) CopyMagickString(subexpression,expression+1,MaxTextExtent);
if (strlen(subexpression) != 0)
subexpression[strlen(subexpression)-1]='\0';
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,depth+1,
beta,exception);
FxReturn(gamma);
}
switch (*expression)
{
case '+':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,expression+1,depth+1,
beta,exception);
FxReturn(1.0*gamma);
}
case '-':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,expression+1,depth+1,
beta,exception);
FxReturn(-1.0*gamma);
}
case '~':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,expression+1,depth+1,
beta,exception);
FxReturn((double) (~(size_t) (gamma+0.5)));
}
case 'A':
case 'a':
{
if (LocaleNCompare(expression,"abs",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(fabs(alpha));
}
#if defined(MAGICKCORE_HAVE_ACOSH)
if (LocaleNCompare(expression,"acosh",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(acosh(alpha));
}
#endif
if (LocaleNCompare(expression,"acos",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(acos(alpha));
}
#if defined(MAGICKCORE_HAVE_J1)
if (LocaleNCompare(expression,"airy",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
if (alpha == 0.0)
FxReturn(1.0);
gamma=2.0*j1((MagickPI*alpha))/(MagickPI*alpha);
FxReturn(gamma*gamma);
}
#endif
#if defined(MAGICKCORE_HAVE_ASINH)
if (LocaleNCompare(expression,"asinh",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(asinh(alpha));
}
#endif
if (LocaleNCompare(expression,"asin",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(asin(alpha));
}
if (LocaleNCompare(expression,"alt",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(((ssize_t) alpha) & 0x01 ? -1.0 : 1.0);
}
if (LocaleNCompare(expression,"atan2",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(atan2(alpha,*beta));
}
#if defined(MAGICKCORE_HAVE_ATANH)
if (LocaleNCompare(expression,"atanh",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(atanh(alpha));
}
#endif
if (LocaleNCompare(expression,"atan",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(atan(alpha));
}
if (LocaleCompare(expression,"a") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'B':
case 'b':
{
if (LocaleCompare(expression,"b") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'C':
case 'c':
{
if (LocaleNCompare(expression,"ceil",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(ceil(alpha));
}
if (LocaleNCompare(expression,"clamp",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
if (alpha < 0.0)
FxReturn(0.0);
if (alpha > 1.0)
FxReturn(1.0);
FxReturn(alpha);
}
if (LocaleNCompare(expression,"cosh",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(cosh(alpha));
}
if (LocaleNCompare(expression,"cos",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(cos(alpha));
}
if (LocaleCompare(expression,"c") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'D':
case 'd':
{
if (LocaleNCompare(expression,"debug",5) == 0)
{
const char
*type;
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
if (fx_info->images->colorspace == CMYKColorspace)
switch (channel)
{
case CyanChannel: type="cyan"; break;
case MagentaChannel: type="magenta"; break;
case YellowChannel: type="yellow"; break;
case OpacityChannel: type="opacity"; break;
case BlackChannel: type="black"; break;
default: type="unknown"; break;
}
else
switch (channel)
{
case RedChannel: type="red"; break;
case GreenChannel: type="green"; break;
case BlueChannel: type="blue"; break;
case OpacityChannel: type="opacity"; break;
default: type="unknown"; break;
}
*subexpression='\0';
if (strlen(subexpression) > 1)
(void) CopyMagickString(subexpression,expression+6,MaxTextExtent);
if (strlen(subexpression) > 1)
subexpression[strlen(subexpression)-1]='\0';
if (fx_info->file != (FILE *) NULL)
(void) FormatLocaleFile(fx_info->file,
"%s[%.20g,%.20g].%s: %s=%.*g\n",fx_info->images->filename,
(double) x,(double) y,type,subexpression,GetMagickPrecision(),
(double) alpha);
FxReturn(0.0);
}
if (LocaleNCompare(expression,"drc",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn((alpha/(*beta*(alpha-1.0)+1.0)));
}
break;
}
case 'E':
case 'e':
{
if (LocaleCompare(expression,"epsilon") == 0)
FxReturn(MagickEpsilon);
#if defined(MAGICKCORE_HAVE_ERF)
if (LocaleNCompare(expression,"erp",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(erf(alpha));
}
#endif
if (LocaleNCompare(expression,"exp",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(exp(alpha));
}
if (LocaleCompare(expression,"e") == 0)
FxReturn(2.7182818284590452354);
break;
}
case 'F':
case 'f':
{
if (LocaleNCompare(expression,"floor",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(floor(alpha));
}
break;
}
case 'G':
case 'g':
{
if (LocaleNCompare(expression,"gauss",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
gamma=exp((-alpha*alpha/2.0))/sqrt(2.0*MagickPI);
FxReturn(gamma);
}
if (LocaleNCompare(expression,"gcd",3) == 0)
{
MagickOffsetType
gcd;
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
gcd=FxGCD((MagickOffsetType) (alpha+0.5),(MagickOffsetType)
(*beta+0.5));
FxReturn((double) gcd);
}
if (LocaleCompare(expression,"g") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'H':
case 'h':
{
if (LocaleCompare(expression,"h") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (LocaleCompare(expression,"hue") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (LocaleNCompare(expression,"hypot",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(hypot(alpha,*beta));
}
break;
}
case 'K':
case 'k':
{
if (LocaleCompare(expression,"k") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'I':
case 'i':
{
if (LocaleCompare(expression,"intensity") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (LocaleNCompare(expression,"int",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(floor(alpha));
}
if (LocaleNCompare(expression,"isnan",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn((double) !!IsNaN(alpha));
}
if (LocaleCompare(expression,"i") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'J':
case 'j':
{
if (LocaleCompare(expression,"j") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
#if defined(MAGICKCORE_HAVE_J0)
if (LocaleNCompare(expression,"j0",2) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+2,
depth+1,beta,exception);
FxReturn(j0(alpha));
}
#endif
#if defined(MAGICKCORE_HAVE_J1)
if (LocaleNCompare(expression,"j1",2) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+2,
depth+1,beta,exception);
FxReturn(j1(alpha));
}
#endif
#if defined(MAGICKCORE_HAVE_J1)
if (LocaleNCompare(expression,"jinc",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
if (alpha == 0.0)
FxReturn(1.0);
gamma=(2.0*j1((MagickPI*alpha))/(MagickPI*alpha));
FxReturn(gamma);
}
#endif
break;
}
case 'L':
case 'l':
{
if (LocaleNCompare(expression,"ln",2) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+2,
depth+1,beta,exception);
FxReturn(log(alpha));
}
if (LocaleNCompare(expression,"logtwo",6) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+6,
depth+1,beta,exception);
FxReturn(log10(alpha)/log10(2.0));
}
if (LocaleNCompare(expression,"log",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(log10(alpha));
}
if (LocaleCompare(expression,"lightness") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'M':
case 'm':
{
if (LocaleCompare(expression,"MaxRGB") == 0)
FxReturn((double) QuantumRange);
if (LocaleNCompare(expression,"maxima",6) == 0)
break;
if (LocaleNCompare(expression,"max",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(alpha > *beta ? alpha : *beta);
}
if (LocaleNCompare(expression,"minima",6) == 0)
break;
if (LocaleNCompare(expression,"min",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(alpha < *beta ? alpha : *beta);
}
if (LocaleNCompare(expression,"mod",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
gamma=alpha-floor((alpha*PerceptibleReciprocal(*beta)))*(*beta);
FxReturn(gamma);
}
if (LocaleCompare(expression,"m") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'N':
case 'n':
{
if (LocaleNCompare(expression,"not",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn((double) (alpha < MagickEpsilon));
}
if (LocaleCompare(expression,"n") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'O':
case 'o':
{
if (LocaleCompare(expression,"Opaque") == 0)
FxReturn(1.0);
if (LocaleCompare(expression,"o") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'P':
case 'p':
{
if (LocaleCompare(expression,"phi") == 0)
FxReturn(MagickPHI);
if (LocaleCompare(expression,"pi") == 0)
FxReturn(MagickPI);
if (LocaleNCompare(expression,"pow",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(pow(alpha,*beta));
}
if (LocaleCompare(expression,"p") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'Q':
case 'q':
{
if (LocaleCompare(expression,"QuantumRange") == 0)
FxReturn((double) QuantumRange);
if (LocaleCompare(expression,"QuantumScale") == 0)
FxReturn(QuantumScale);
break;
}
case 'R':
case 'r':
{
if (LocaleNCompare(expression,"rand",4) == 0)
{
double
alpha;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FxEvaluateSubexpression)
#endif
alpha=GetPseudoRandomValue(fx_info->random_info);
FxReturn(alpha);
}
if (LocaleNCompare(expression,"round",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(floor(alpha+0.5));
}
if (LocaleCompare(expression,"r") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'S':
case 's':
{
if (LocaleCompare(expression,"saturation") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (LocaleNCompare(expression,"sign",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(alpha < 0.0 ? -1.0 : 1.0);
}
if (LocaleNCompare(expression,"sinc",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
if (alpha == 0)
FxReturn(1.0);
gamma=(sin((MagickPI*alpha))/(MagickPI*alpha));
FxReturn(gamma);
}
if (LocaleNCompare(expression,"sinh",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(sinh(alpha));
}
if (LocaleNCompare(expression,"sin",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(sin(alpha));
}
if (LocaleNCompare(expression,"sqrt",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(sqrt(alpha));
}
if (LocaleNCompare(expression,"squish",6) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+6,
depth+1,beta,exception);
FxReturn((1.0/(1.0+exp(-alpha))));
}
if (LocaleCompare(expression,"s") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'T':
case 't':
{
if (LocaleNCompare(expression,"tanh",4) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(tanh(alpha));
}
if (LocaleNCompare(expression,"tan",3) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(tan(alpha));
}
if (LocaleCompare(expression,"Transparent") == 0)
FxReturn(0.0);
if (LocaleNCompare(expression,"trunc",5) == 0)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
if (alpha >= 0.0)
FxReturn(floor(alpha));
FxReturn(ceil(alpha));
}
if (LocaleCompare(expression,"t") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'U':
case 'u':
{
if (LocaleCompare(expression,"u") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'V':
case 'v':
{
if (LocaleCompare(expression,"v") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'W':
case 'w':
{
if (LocaleNCompare(expression,"while",5) == 0)
{
do
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
} while (fabs(alpha) >= MagickEpsilon);
FxReturn(*beta);
}
if (LocaleCompare(expression,"w") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'Y':
case 'y':
{
if (LocaleCompare(expression,"y") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'Z':
case 'z':
{
if (LocaleCompare(expression,"z") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
default:
break;
}
q=(char *) expression;
alpha=InterpretSiPrefixValue(expression,&q);
if (q == expression)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
FxReturn(alpha);
}
MagickExport MagickBooleanType FxEvaluateExpression(FxInfo *fx_info,
double *alpha,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=FxEvaluateChannelExpression(fx_info,GrayChannel,0,0,alpha,exception);
return(status);
}
MagickExport MagickBooleanType FxPreprocessExpression(FxInfo *fx_info,
double *alpha,ExceptionInfo *exception)
{
FILE
*file;
MagickBooleanType
status;
file=fx_info->file;
fx_info->file=(FILE *) NULL;
status=FxEvaluateChannelExpression(fx_info,GrayChannel,0,0,alpha,exception);
fx_info->file=file;
return(status);
}
MagickExport MagickBooleanType FxEvaluateChannelExpression(FxInfo *fx_info,
const ChannelType channel,const ssize_t x,const ssize_t y,double *alpha,
ExceptionInfo *exception)
{
double
beta;
beta=0.0;
*alpha=FxEvaluateSubexpression(fx_info,channel,x,y,fx_info->expression,0,
&beta,exception);
return(exception->severity == OptionError ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F x I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FxImage() applies a mathematical expression to the specified image.
%
% The format of the FxImage method is:
%
% Image *FxImage(const Image *image,const char *expression,
% ExceptionInfo *exception)
% Image *FxImageChannel(const Image *image,const ChannelType channel,
% const char *expression,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o expression: A mathematical expression.
%
% o exception: return any errors or warnings in this structure.
%
*/
static FxInfo **DestroyFxThreadSet(FxInfo **fx_info)
{
register ssize_t
i;
assert(fx_info != (FxInfo **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (fx_info[i] != (FxInfo *) NULL)
fx_info[i]=DestroyFxInfo(fx_info[i]);
fx_info=(FxInfo **) RelinquishMagickMemory(fx_info);
return(fx_info);
}
static FxInfo **AcquireFxThreadSet(const Image *image,const char *expression,
ExceptionInfo *exception)
{
char
*fx_expression;
double
alpha;
FxInfo
**fx_info;
register ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
fx_info=(FxInfo **) AcquireQuantumMemory(number_threads,sizeof(*fx_info));
if (fx_info == (FxInfo **) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return((FxInfo **) NULL);
}
(void) memset(fx_info,0,number_threads*sizeof(*fx_info));
if (*expression != '@')
fx_expression=ConstantString(expression);
else
fx_expression=FileToString(expression+1,~0UL,exception);
for (i=0; i < (ssize_t) number_threads; i++)
{
MagickBooleanType
status;
fx_info[i]=AcquireFxInfo(image,fx_expression);
if (fx_info[i] == (FxInfo *) NULL)
break;
status=FxPreprocessExpression(fx_info[i],&alpha,exception);
if (status == MagickFalse)
break;
}
fx_expression=DestroyString(fx_expression);
if (i < (ssize_t) number_threads)
fx_info=DestroyFxThreadSet(fx_info);
return(fx_info);
}
MagickExport Image *FxImage(const Image *image,const char *expression,
ExceptionInfo *exception)
{
Image
*fx_image;
fx_image=FxImageChannel(image,GrayChannel,expression,exception);
return(fx_image);
}
MagickExport Image *FxImageChannel(const Image *image,const ChannelType channel,
const char *expression,ExceptionInfo *exception)
{
#define FxImageTag "Fx/Image"
CacheView
*fx_view;
FxInfo
**magick_restrict fx_info;
Image
*fx_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (expression == (const char *) NULL)
return(CloneImage(image,0,0,MagickTrue,exception));
fx_info=AcquireFxThreadSet(image,expression,exception);
if (fx_info == (FxInfo **) NULL)
return((Image *) NULL);
fx_image=CloneImage(image,0,0,MagickTrue,exception);
if (fx_image == (Image *) NULL)
{
fx_info=DestroyFxThreadSet(fx_info);
return((Image *) NULL);
}
if (SetImageStorageClass(fx_image,DirectClass) == MagickFalse)
{
InheritException(exception,&fx_image->exception);
fx_info=DestroyFxThreadSet(fx_info);
fx_image=DestroyImage(fx_image);
return((Image *) NULL);
}
/*
Fx image.
*/
status=MagickTrue;
progress=0;
fx_view=AcquireAuthenticCacheView(fx_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,fx_image,fx_image->rows,1)
#endif
for (y=0; y < (ssize_t) fx_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
double
alpha;
register IndexPacket
*magick_restrict fx_indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(fx_view,0,y,fx_image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
fx_indexes=GetCacheViewAuthenticIndexQueue(fx_view);
alpha=0.0;
for (x=0; x < (ssize_t) fx_image->columns; x++)
{
if ((channel & RedChannel) != 0)
{
(void) FxEvaluateChannelExpression(fx_info[id],RedChannel,x,y,
&alpha,exception);
SetPixelRed(q,ClampToQuantum((MagickRealType) QuantumRange*alpha));
}
if ((channel & GreenChannel) != 0)
{
(void) FxEvaluateChannelExpression(fx_info[id],GreenChannel,x,y,
&alpha,exception);
SetPixelGreen(q,ClampToQuantum((MagickRealType) QuantumRange*alpha));
}
if ((channel & BlueChannel) != 0)
{
(void) FxEvaluateChannelExpression(fx_info[id],BlueChannel,x,y,
&alpha,exception);
SetPixelBlue(q,ClampToQuantum((MagickRealType) QuantumRange*alpha));
}
if ((channel & OpacityChannel) != 0)
{
(void) FxEvaluateChannelExpression(fx_info[id],OpacityChannel,x,y,
&alpha,exception);
if (image->matte == MagickFalse)
SetPixelOpacity(q,ClampToQuantum((MagickRealType) QuantumRange*
alpha));
else
SetPixelOpacity(q,ClampToQuantum((MagickRealType) (QuantumRange-
QuantumRange*alpha)));
}
if (((channel & IndexChannel) != 0) &&
(fx_image->colorspace == CMYKColorspace))
{
(void) FxEvaluateChannelExpression(fx_info[id],IndexChannel,x,y,
&alpha,exception);
SetPixelIndex(fx_indexes+x,ClampToQuantum((MagickRealType)
QuantumRange*alpha));
}
q++;
}
if (SyncCacheViewAuthenticPixels(fx_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,FxImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
fx_view=DestroyCacheView(fx_view);
fx_info=DestroyFxThreadSet(fx_info);
if (status == MagickFalse)
fx_image=DestroyImage(fx_image);
return(fx_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I m p l o d e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ImplodeImage() creates a new image that is a copy of an existing
% one with the image pixels "implode" by the specified percentage. It
% allocates the memory necessary for the new Image structure and returns a
% pointer to the new image.
%
% The format of the ImplodeImage method is:
%
% Image *ImplodeImage(const Image *image,const double amount,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o implode_image: Method ImplodeImage returns a pointer to the image
% after it is implode. A null image is returned if there is a memory
% shortage.
%
% o image: the image.
%
% o amount: Define the extent of the implosion.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ImplodeImage(const Image *image,const double amount,
ExceptionInfo *exception)
{
#define ImplodeImageTag "Implode/Image"
CacheView
*image_view,
*implode_view;
double
radius;
Image
*implode_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
PointInfo
center,
scale;
ssize_t
y;
/*
Initialize implode image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
implode_image=CloneImage(image,0,0,MagickTrue,exception);
if (implode_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(implode_image,DirectClass) == MagickFalse)
{
InheritException(exception,&implode_image->exception);
implode_image=DestroyImage(implode_image);
return((Image *) NULL);
}
if (implode_image->background_color.opacity != OpaqueOpacity)
implode_image->matte=MagickTrue;
/*
Compute scaling factor.
*/
scale.x=1.0;
scale.y=1.0;
center.x=0.5*image->columns;
center.y=0.5*image->rows;
radius=center.x;
if (image->columns > image->rows)
scale.y=(double) image->columns/(double) image->rows;
else
if (image->columns < image->rows)
{
scale.x=(double) image->rows/(double) image->columns;
radius=center.y;
}
/*
Implode image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(implode_image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
implode_view=AcquireAuthenticCacheView(implode_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,implode_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
distance;
MagickPixelPacket
pixel;
PointInfo
delta;
register IndexPacket
*magick_restrict implode_indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(implode_view,0,y,implode_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
implode_indexes=GetCacheViewAuthenticIndexQueue(implode_view);
delta.y=scale.y*(double) (y-center.y);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
/*
Determine if the pixel is within an ellipse.
*/
delta.x=scale.x*(double) (x-center.x);
distance=delta.x*delta.x+delta.y*delta.y;
if (distance < (radius*radius))
{
double
factor;
/*
Implode the pixel.
*/
factor=1.0;
if (distance > 0.0)
factor=pow(sin((double) (MagickPI*sqrt((double) distance)/
radius/2)),-amount);
status=InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) (factor*delta.x/scale.x+
center.x),(double) (factor*delta.y/scale.y+center.y),&pixel,
exception);
if (status == MagickFalse)
break;
SetPixelPacket(implode_image,&pixel,q,implode_indexes+x);
}
q++;
}
if (SyncCacheViewAuthenticPixels(implode_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,ImplodeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
implode_view=DestroyCacheView(implode_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
implode_image=DestroyImage(implode_image);
return(implode_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o r p h I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% The MorphImages() method requires a minimum of two images. The first
% image is transformed into the second by a number of intervening images
% as specified by frames.
%
% The format of the MorphImage method is:
%
% Image *MorphImages(const Image *image,const size_t number_frames,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o number_frames: Define the number of in-between image to generate.
% The more in-between frames, the smoother the morph.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MorphImages(const Image *image,
const size_t number_frames,ExceptionInfo *exception)
{
#define MorphImageTag "Morph/Image"
double
alpha,
beta;
Image
*morph_image,
*morph_images;
MagickBooleanType
status;
MagickOffsetType
scene;
register const Image
*next;
register ssize_t
i;
ssize_t
y;
/*
Clone first frame in sequence.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
morph_images=CloneImage(image,0,0,MagickTrue,exception);
if (morph_images == (Image *) NULL)
return((Image *) NULL);
if (GetNextImageInList(image) == (Image *) NULL)
{
/*
Morph single image.
*/
for (i=1; i < (ssize_t) number_frames; i++)
{
morph_image=CloneImage(image,0,0,MagickTrue,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
AppendImageToList(&morph_images,morph_image);
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,MorphImageTag,(MagickOffsetType) i,
number_frames);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(GetFirstImageInList(morph_images));
}
/*
Morph image sequence.
*/
status=MagickTrue;
scene=0;
next=image;
for ( ; GetNextImageInList(next) != (Image *) NULL; next=GetNextImageInList(next))
{
for (i=0; i < (ssize_t) number_frames; i++)
{
CacheView
*image_view,
*morph_view;
beta=(double) (i+1.0)/(double) (number_frames+1.0);
alpha=1.0-beta;
morph_image=ResizeImage(next,(size_t) (alpha*next->columns+beta*
GetNextImageInList(next)->columns+0.5),(size_t) (alpha*
next->rows+beta*GetNextImageInList(next)->rows+0.5),
next->filter,next->blur,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
if (SetImageStorageClass(morph_image,DirectClass) == MagickFalse)
{
InheritException(exception,&morph_image->exception);
morph_image=DestroyImage(morph_image);
return((Image *) NULL);
}
AppendImageToList(&morph_images,morph_image);
morph_images=GetLastImageInList(morph_images);
morph_image=ResizeImage(GetNextImageInList(next),morph_images->columns,
morph_images->rows,GetNextImageInList(next)->filter,
GetNextImageInList(next)->blur,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
image_view=AcquireVirtualCacheView(morph_image,exception);
morph_view=AcquireAuthenticCacheView(morph_images,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(morph_image,morph_image,morph_image->rows,1)
#endif
for (y=0; y < (ssize_t) morph_images->rows; y++)
{
MagickBooleanType
sync;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,morph_image->columns,1,
exception);
q=GetCacheViewAuthenticPixels(morph_view,0,y,morph_images->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) morph_images->columns; x++)
{
SetPixelRed(q,ClampToQuantum(alpha*
GetPixelRed(q)+beta*GetPixelRed(p)));
SetPixelGreen(q,ClampToQuantum(alpha*
GetPixelGreen(q)+beta*GetPixelGreen(p)));
SetPixelBlue(q,ClampToQuantum(alpha*
GetPixelBlue(q)+beta*GetPixelBlue(p)));
SetPixelOpacity(q,ClampToQuantum(alpha*
GetPixelOpacity(q)+beta*GetPixelOpacity(p)));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(morph_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
morph_view=DestroyCacheView(morph_view);
image_view=DestroyCacheView(image_view);
morph_image=DestroyImage(morph_image);
}
if (i < (ssize_t) number_frames)
break;
/*
Clone last frame in sequence.
*/
morph_image=CloneImage(GetNextImageInList(next),0,0,MagickTrue,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
AppendImageToList(&morph_images,morph_image);
morph_images=GetLastImageInList(morph_images);
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,MorphImageTag,scene,
GetImageListLength(image));
if (proceed == MagickFalse)
status=MagickFalse;
}
scene++;
}
if (GetNextImageInList(next) != (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
return(GetFirstImageInList(morph_images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P l a s m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PlasmaImage() initializes an image with plasma fractal values. The image
% must be initialized with a base color and the random number generator
% seeded before this method is called.
%
% The format of the PlasmaImage method is:
%
% MagickBooleanType PlasmaImage(Image *image,const SegmentInfo *segment,
% size_t attenuate,size_t depth)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o segment: Define the region to apply plasma fractals values.
%
% o attenuate: Define the plasma attenuation factor.
%
% o depth: Limit the plasma recursion depth.
%
*/
static inline Quantum PlasmaPixel(RandomInfo *random_info,
const MagickRealType pixel,const double noise)
{
Quantum
plasma;
plasma=ClampToQuantum(pixel+noise*GetPseudoRandomValue(random_info)-
noise/2.0);
if (plasma <= 0)
return((Quantum) 0);
if (plasma >= QuantumRange)
return(QuantumRange);
return(plasma);
}
MagickExport MagickBooleanType PlasmaImageProxy(Image *image,
CacheView *image_view,CacheView *u_view,CacheView *v_view,
RandomInfo *random_info,const SegmentInfo *segment,size_t attenuate,
size_t depth)
{
ExceptionInfo
*exception;
double
plasma;
PixelPacket
u,
v;
ssize_t
x,
x_mid,
y,
y_mid;
if ((fabs(segment->x2-segment->x1) <= MagickEpsilon) &&
(fabs(segment->y2-segment->y1) <= MagickEpsilon))
return(MagickTrue);
if (depth != 0)
{
MagickBooleanType
status;
SegmentInfo
local_info;
/*
Divide the area into quadrants and recurse.
*/
depth--;
attenuate++;
x_mid=(ssize_t) ceil((segment->x1+segment->x2)/2-0.5);
y_mid=(ssize_t) ceil((segment->y1+segment->y2)/2-0.5);
local_info=(*segment);
local_info.x2=(double) x_mid;
local_info.y2=(double) y_mid;
(void) PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
local_info=(*segment);
local_info.y1=(double) y_mid;
local_info.x2=(double) x_mid;
(void) PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
local_info=(*segment);
local_info.x1=(double) x_mid;
local_info.y2=(double) y_mid;
(void) PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
local_info=(*segment);
local_info.x1=(double) x_mid;
local_info.y1=(double) y_mid;
status=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,
&local_info,attenuate,depth);
return(status);
}
x_mid=(ssize_t) ceil((segment->x1+segment->x2)/2-0.5);
y_mid=(ssize_t) ceil((segment->y1+segment->y2)/2-0.5);
if ((fabs(segment->x1-x_mid) < MagickEpsilon) &&
(fabs(segment->x2-x_mid) < MagickEpsilon) &&
(fabs(segment->y1-y_mid) < MagickEpsilon) &&
(fabs(segment->y2-y_mid) < MagickEpsilon))
return(MagickFalse);
/*
Average pixels and apply plasma.
*/
exception=(&image->exception);
plasma=(double) QuantumRange/(2.0*attenuate);
if ((fabs(segment->x1-x_mid) > MagickEpsilon) ||
(fabs(segment->x2-x_mid) > MagickEpsilon))
{
register PixelPacket
*magick_restrict q;
/*
Left pixel.
*/
x=(ssize_t) ceil(segment->x1-0.5);
(void) GetOneCacheViewVirtualPixel(u_view,x,(ssize_t)
ceil(segment->y1-0.5),&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,x,(ssize_t)
ceil(segment->y2-0.5),&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x,y_mid,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,(MagickRealType) (u.red+v.red)/2.0,
plasma));
SetPixelGreen(q,PlasmaPixel(random_info,(MagickRealType) (u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,(MagickRealType) (u.blue+v.blue)/
2.0,plasma));
(void) SyncCacheViewAuthenticPixels(image_view,exception);
if (fabs(segment->x1-segment->x2) > MagickEpsilon)
{
/*
Right pixel.
*/
x=(ssize_t) ceil(segment->x2-0.5);
(void) GetOneCacheViewVirtualPixel(u_view,x,(ssize_t)
ceil(segment->y1-0.5),&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,x,(ssize_t)
ceil(segment->y2-0.5),&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x,y_mid,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,(MagickRealType) (u.red+v.red)/
2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,(MagickRealType) (u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,(MagickRealType) (u.blue+
v.blue)/2.0,plasma));
(void) SyncCacheViewAuthenticPixels(image_view,exception);
}
}
if ((fabs(segment->y1-y_mid) > MagickEpsilon) ||
(fabs(segment->y2-y_mid) > MagickEpsilon))
{
if ((fabs(segment->x1-x_mid) > MagickEpsilon) ||
(fabs(segment->y2-y_mid) > MagickEpsilon))
{
register PixelPacket
*magick_restrict q;
/*
Bottom pixel.
*/
y=(ssize_t) ceil(segment->y2-0.5);
(void) GetOneCacheViewVirtualPixel(u_view,(ssize_t)
ceil(segment->x1-0.5),y,&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,(ssize_t)
ceil(segment->x2-0.5),y,&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,(MagickRealType) (u.red+v.red)/
2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,(MagickRealType) (u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,(MagickRealType) (u.blue+
v.blue)/2.0,plasma));
(void) SyncCacheViewAuthenticPixels(image_view,exception);
}
if (fabs(segment->y1-segment->y2) > MagickEpsilon)
{
register PixelPacket
*magick_restrict q;
/*
Top pixel.
*/
y=(ssize_t) ceil(segment->y1-0.5);
(void) GetOneCacheViewVirtualPixel(u_view,(ssize_t)
ceil(segment->x1-0.5),y,&u,exception);
(void) GetOneCacheViewVirtualPixel(v_view,(ssize_t)
ceil(segment->x2-0.5),y,&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,(MagickRealType) (u.red+
v.red)/2.0,plasma));
SetPixelGreen(q,PlasmaPixel(random_info,(MagickRealType) (u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,(MagickRealType) (u.blue+
v.blue)/2.0,plasma));
(void) SyncCacheViewAuthenticPixels(image_view,exception);
}
}
if ((fabs(segment->x1-segment->x2) > MagickEpsilon) ||
(fabs(segment->y1-segment->y2) > MagickEpsilon))
{
register PixelPacket
*magick_restrict q;
/*
Middle pixel.
*/
x=(ssize_t) ceil(segment->x1-0.5);
y=(ssize_t) ceil(segment->y1-0.5);
(void) GetOneCacheViewVirtualPixel(u_view,x,y,&u,exception);
x=(ssize_t) ceil(segment->x2-0.5);
y=(ssize_t) ceil(segment->y2-0.5);
(void) GetOneCacheViewVirtualPixel(v_view,x,y,&v,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y_mid,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickTrue);
SetPixelRed(q,PlasmaPixel(random_info,(MagickRealType) (u.red+v.red)/2.0,
plasma));
SetPixelGreen(q,PlasmaPixel(random_info,(MagickRealType) (u.green+
v.green)/2.0,plasma));
SetPixelBlue(q,PlasmaPixel(random_info,(MagickRealType) (u.blue+v.blue)/
2.0,plasma));
(void) SyncCacheViewAuthenticPixels(image_view,exception);
}
if ((fabs(segment->x2-segment->x1) < 3.0) &&
(fabs(segment->y2-segment->y1) < 3.0))
return(MagickTrue);
return(MagickFalse);
}
MagickExport MagickBooleanType PlasmaImage(Image *image,
const SegmentInfo *segment,size_t attenuate,size_t depth)
{
CacheView
*image_view,
*u_view,
*v_view;
MagickBooleanType
status;
RandomInfo
*random_info;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
image_view=AcquireAuthenticCacheView(image,&image->exception);
u_view=AcquireVirtualCacheView(image,&image->exception);
v_view=AcquireVirtualCacheView(image,&image->exception);
random_info=AcquireRandomInfo();
status=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,segment,
attenuate,depth);
random_info=DestroyRandomInfo(random_info);
v_view=DestroyCacheView(v_view);
u_view=DestroyCacheView(u_view);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o l a r o i d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PolaroidImage() simulates a Polaroid picture.
%
% The format of the AnnotateImage method is:
%
% Image *PolaroidImage(const Image *image,const DrawInfo *draw_info,
% const double angle,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o draw_info: the draw info.
%
% o angle: Apply the effect along this angle.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PolaroidImage(const Image *image,const DrawInfo *draw_info,
const double angle,ExceptionInfo *exception)
{
const char
*value;
Image
*bend_image,
*caption_image,
*flop_image,
*picture_image,
*polaroid_image,
*rotate_image,
*trim_image;
size_t
height;
ssize_t
quantum;
/*
Simulate a Polaroid picture.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
quantum=(ssize_t) MagickMax(MagickMax((double) image->columns,(double)
image->rows)/25.0,10.0);
height=image->rows+2*quantum;
caption_image=(Image *) NULL;
value=GetImageProperty(image,"Caption");
if (value != (const char *) NULL)
{
char
*caption;
/*
Generate caption image.
*/
caption_image=CloneImage(image,image->columns,1,MagickTrue,exception);
if (caption_image == (Image *) NULL)
return((Image *) NULL);
caption=InterpretImageProperties((ImageInfo *) NULL,(Image *) image,
value);
if (caption != (char *) NULL)
{
char
geometry[MaxTextExtent];
DrawInfo
*annotate_info;
MagickBooleanType
status;
ssize_t
count;
TypeMetric
metrics;
annotate_info=CloneDrawInfo((const ImageInfo *) NULL,draw_info);
(void) CloneString(&annotate_info->text,caption);
count=FormatMagickCaption(caption_image,annotate_info,MagickTrue,
&metrics,&caption);
status=SetImageExtent(caption_image,image->columns,(size_t)
((count+1)*(metrics.ascent-metrics.descent)+0.5));
if (status == MagickFalse)
caption_image=DestroyImage(caption_image);
else
{
caption_image->background_color=image->border_color;
(void) SetImageBackgroundColor(caption_image);
(void) CloneString(&annotate_info->text,caption);
(void) FormatLocaleString(geometry,MaxTextExtent,"+0+%.20g",
metrics.ascent);
if (annotate_info->gravity == UndefinedGravity)
(void) CloneString(&annotate_info->geometry,AcquireString(
geometry));
(void) AnnotateImage(caption_image,annotate_info);
height+=caption_image->rows;
}
annotate_info=DestroyDrawInfo(annotate_info);
caption=DestroyString(caption);
}
}
picture_image=CloneImage(image,image->columns+2*quantum,height,MagickTrue,
exception);
if (picture_image == (Image *) NULL)
{
if (caption_image != (Image *) NULL)
caption_image=DestroyImage(caption_image);
return((Image *) NULL);
}
picture_image->background_color=image->border_color;
(void) SetImageBackgroundColor(picture_image);
(void) CompositeImage(picture_image,OverCompositeOp,image,quantum,quantum);
if (caption_image != (Image *) NULL)
{
(void) CompositeImage(picture_image,OverCompositeOp,caption_image,
quantum,(ssize_t) (image->rows+3*quantum/2));
caption_image=DestroyImage(caption_image);
}
(void) QueryColorDatabase("none",&picture_image->background_color,exception);
(void) SetImageAlphaChannel(picture_image,OpaqueAlphaChannel);
rotate_image=RotateImage(picture_image,90.0,exception);
picture_image=DestroyImage(picture_image);
if (rotate_image == (Image *) NULL)
return((Image *) NULL);
picture_image=rotate_image;
bend_image=WaveImage(picture_image,0.01*picture_image->rows,2.0*
picture_image->columns,exception);
picture_image=DestroyImage(picture_image);
if (bend_image == (Image *) NULL)
return((Image *) NULL);
InheritException(&bend_image->exception,exception);
picture_image=bend_image;
rotate_image=RotateImage(picture_image,-90.0,exception);
picture_image=DestroyImage(picture_image);
if (rotate_image == (Image *) NULL)
return((Image *) NULL);
picture_image=rotate_image;
picture_image->background_color=image->background_color;
polaroid_image=ShadowImage(picture_image,80.0,2.0,quantum/3,quantum/3,
exception);
if (polaroid_image == (Image *) NULL)
{
picture_image=DestroyImage(picture_image);
return(picture_image);
}
flop_image=FlopImage(polaroid_image,exception);
polaroid_image=DestroyImage(polaroid_image);
if (flop_image == (Image *) NULL)
{
picture_image=DestroyImage(picture_image);
return(picture_image);
}
polaroid_image=flop_image;
(void) CompositeImage(polaroid_image,OverCompositeOp,picture_image,
(ssize_t) (-0.01*picture_image->columns/2.0),0L);
picture_image=DestroyImage(picture_image);
(void) QueryColorDatabase("none",&polaroid_image->background_color,exception);
rotate_image=RotateImage(polaroid_image,angle,exception);
polaroid_image=DestroyImage(polaroid_image);
if (rotate_image == (Image *) NULL)
return((Image *) NULL);
polaroid_image=rotate_image;
trim_image=TrimImage(polaroid_image,exception);
polaroid_image=DestroyImage(polaroid_image);
if (trim_image == (Image *) NULL)
return((Image *) NULL);
polaroid_image=trim_image;
return(polaroid_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e p i a T o n e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MagickSepiaToneImage() applies a special effect to the image, similar to the
% effect achieved in a photo darkroom by sepia toning. Threshold ranges from
% 0 to QuantumRange and is a measure of the extent of the sepia toning. A
% threshold of 80% is a good starting point for a reasonable tone.
%
% The format of the SepiaToneImage method is:
%
% Image *SepiaToneImage(const Image *image,const double threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: the tone threshold.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SepiaToneImage(const Image *image,const double threshold,
ExceptionInfo *exception)
{
#define SepiaToneImageTag "SepiaTone/Image"
CacheView
*image_view,
*sepia_view;
Image
*sepia_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Initialize sepia-toned image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
sepia_image=CloneImage(image,0,0,MagickTrue,exception);
if (sepia_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(sepia_image,DirectClass) == MagickFalse)
{
InheritException(exception,&sepia_image->exception);
sepia_image=DestroyImage(sepia_image);
return((Image *) NULL);
}
/*
Tone each row of the image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
sepia_view=AcquireAuthenticCacheView(sepia_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,sepia_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(sepia_view,0,y,sepia_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
intensity,
tone;
intensity=GetPixelIntensity(image,p);
tone=intensity > threshold ? (double) QuantumRange : intensity+
(double) QuantumRange-threshold;
SetPixelRed(q,ClampToQuantum(tone));
tone=intensity > (7.0*threshold/6.0) ? (double) QuantumRange :
intensity+(double) QuantumRange-7.0*threshold/6.0;
SetPixelGreen(q,ClampToQuantum(tone));
tone=intensity < (threshold/6.0) ? 0 : intensity-threshold/6.0;
SetPixelBlue(q,ClampToQuantum(tone));
tone=threshold/7.0;
if ((double) GetPixelGreen(q) < tone)
SetPixelGreen(q,ClampToQuantum(tone));
if ((double) GetPixelBlue(q) < tone)
SetPixelBlue(q,ClampToQuantum(tone));
SetPixelOpacity(q,GetPixelOpacity(p));
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(sepia_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SepiaToneImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
sepia_view=DestroyCacheView(sepia_view);
image_view=DestroyCacheView(image_view);
(void) NormalizeImage(sepia_image);
(void) ContrastImage(sepia_image,MagickTrue);
if (status == MagickFalse)
sepia_image=DestroyImage(sepia_image);
return(sepia_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a d o w I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShadowImage() simulates a shadow from the specified image and returns it.
%
% The format of the ShadowImage method is:
%
% Image *ShadowImage(const Image *image,const double opacity,
% const double sigma,const ssize_t x_offset,const ssize_t y_offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: percentage transparency.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o x_offset: the shadow x-offset.
%
% o y_offset: the shadow y-offset.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ShadowImage(const Image *image,const double opacity,
const double sigma,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
#define ShadowImageTag "Shadow/Image"
CacheView
*image_view;
Image
*border_image,
*clone_image,
*shadow_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
border_info;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
clone_image=CloneImage(image,0,0,MagickTrue,exception);
if (clone_image == (Image *) NULL)
return((Image *) NULL);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(clone_image,sRGBColorspace);
(void) SetImageVirtualPixelMethod(clone_image,EdgeVirtualPixelMethod);
clone_image->compose=OverCompositeOp;
border_info.width=(size_t) floor(2.0*sigma+0.5);
border_info.height=(size_t) floor(2.0*sigma+0.5);
border_info.x=0;
border_info.y=0;
(void) QueryColorDatabase("none",&clone_image->border_color,exception);
border_image=BorderImage(clone_image,&border_info,exception);
clone_image=DestroyImage(clone_image);
if (border_image == (Image *) NULL)
return((Image *) NULL);
if (border_image->matte == MagickFalse)
(void) SetImageAlphaChannel(border_image,OpaqueAlphaChannel);
/*
Shadow image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(border_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(border_image,border_image,border_image->rows,1)
#endif
for (y=0; y < (ssize_t) border_image->rows; y++)
{
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,border_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) border_image->columns; x++)
{
SetPixelRed(q,border_image->background_color.red);
SetPixelGreen(q,border_image->background_color.green);
SetPixelBlue(q,border_image->background_color.blue);
if (border_image->matte == MagickFalse)
SetPixelOpacity(q,border_image->background_color.opacity);
else
SetPixelOpacity(q,ClampToQuantum((double) (QuantumRange-
GetPixelAlpha(q)*opacity/100.0)));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,ShadowImageTag,progress++,
border_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
shadow_image=BlurImageChannel(border_image,AlphaChannel,0.0,sigma,exception);
border_image=DestroyImage(border_image);
if (shadow_image == (Image *) NULL)
return((Image *) NULL);
if (shadow_image->page.width == 0)
shadow_image->page.width=shadow_image->columns;
if (shadow_image->page.height == 0)
shadow_image->page.height=shadow_image->rows;
shadow_image->page.width+=x_offset-(ssize_t) border_info.width;
shadow_image->page.height+=y_offset-(ssize_t) border_info.height;
shadow_image->page.x+=x_offset-(ssize_t) border_info.width;
shadow_image->page.y+=y_offset-(ssize_t) border_info.height;
return(shadow_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S k e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SketchImage() simulates a pencil sketch. We convolve the image with a
% Gaussian operator of the given radius and standard deviation (sigma). For
% reasonable results, radius should be larger than sigma. Use a radius of 0
% and SketchImage() selects a suitable radius for you. Angle gives the angle
% of the sketch.
%
% The format of the SketchImage method is:
%
% Image *SketchImage(const Image *image,const double radius,
% const double sigma,const double angle,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting
% the center pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o angle: Apply the effect along this angle.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SketchImage(const Image *image,const double radius,
const double sigma,const double angle,ExceptionInfo *exception)
{
CacheView
*random_view;
Image
*blend_image,
*blur_image,
*dodge_image,
*random_image,
*sketch_image;
MagickBooleanType
status;
MagickPixelPacket
zero;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
/*
Sketch image.
*/
random_image=CloneImage(image,image->columns << 1,image->rows << 1,
MagickTrue,exception);
if (random_image == (Image *) NULL)
return((Image *) NULL);
random_view=AcquireAuthenticCacheView(random_image,exception);
status=MagickTrue;
GetMagickPixelPacket(random_image,&zero);
random_info=AcquireRandomInfoThreadSet();
random_view=AcquireAuthenticCacheView(random_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(random_image,random_image,random_image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) random_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
MagickPixelPacket
pixel;
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(random_view,0,y,random_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(random_view);
pixel=zero;
for (x=0; x < (ssize_t) random_image->columns; x++)
{
pixel.red=(MagickRealType) (QuantumRange*
GetPseudoRandomValue(random_info[id]));
pixel.green=pixel.red;
pixel.blue=pixel.red;
if (image->colorspace == CMYKColorspace)
pixel.index=pixel.red;
SetPixelPacket(random_image,&pixel,q,indexes+x);
q++;
}
if (SyncCacheViewAuthenticPixels(random_view,exception) == MagickFalse)
status=MagickFalse;
}
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
{
random_view=DestroyCacheView(random_view);
random_image=DestroyImage(random_image);
return(random_image);
}
random_view=DestroyCacheView(random_view);
blur_image=MotionBlurImage(random_image,radius,sigma,angle,exception);
random_image=DestroyImage(random_image);
if (blur_image == (Image *) NULL)
return((Image *) NULL);
dodge_image=EdgeImage(blur_image,radius,exception);
blur_image=DestroyImage(blur_image);
if (dodge_image == (Image *) NULL)
return((Image *) NULL);
(void) NormalizeImage(dodge_image);
(void) NegateImage(dodge_image,MagickFalse);
(void) TransformImage(&dodge_image,(char *) NULL,"50%");
sketch_image=CloneImage(image,0,0,MagickTrue,exception);
if (sketch_image == (Image *) NULL)
{
dodge_image=DestroyImage(dodge_image);
return((Image *) NULL);
}
(void) CompositeImage(sketch_image,ColorDodgeCompositeOp,dodge_image,0,0);
dodge_image=DestroyImage(dodge_image);
blend_image=CloneImage(image,0,0,MagickTrue,exception);
if (blend_image == (Image *) NULL)
{
sketch_image=DestroyImage(sketch_image);
return((Image *) NULL);
}
(void) SetImageArtifact(blend_image,"compose:args","20x80");
(void) CompositeImage(sketch_image,BlendCompositeOp,blend_image,0,0);
blend_image=DestroyImage(blend_image);
return(sketch_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S o l a r i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SolarizeImage() applies a special effect to the image, similar to the effect
% achieved in a photo darkroom by selectively exposing areas of photo
% sensitive paper to light. Threshold ranges from 0 to QuantumRange and is a
% measure of the extent of the solarization.
%
% The format of the SolarizeImage method is:
%
% MagickBooleanType SolarizeImage(Image *image,const double threshold)
% MagickBooleanType SolarizeImageChannel(Image *image,
% const ChannelType channel,const double threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o threshold: Define the extent of the solarization.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SolarizeImage(Image *image,
const double threshold)
{
MagickBooleanType
status;
status=SolarizeImageChannel(image,DefaultChannels,threshold,
&image->exception);
return(status);
}
MagickExport MagickBooleanType SolarizeImageChannel(Image *image,
const ChannelType channel,const double threshold,ExceptionInfo *exception)
{
#define SolarizeImageTag "Solarize/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace);
if (image->storage_class == PseudoClass)
{
register ssize_t
i;
/*
Solarize colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((channel & RedChannel) != 0)
if ((double) image->colormap[i].red > threshold)
image->colormap[i].red=QuantumRange-image->colormap[i].red;
if ((channel & GreenChannel) != 0)
if ((double) image->colormap[i].green > threshold)
image->colormap[i].green=QuantumRange-image->colormap[i].green;
if ((channel & BlueChannel) != 0)
if ((double) image->colormap[i].blue > threshold)
image->colormap[i].blue=QuantumRange-image->colormap[i].blue;
}
}
/*
Solarize image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
if ((double) GetPixelRed(q) > threshold)
SetPixelRed(q,QuantumRange-GetPixelRed(q));
if ((channel & GreenChannel) != 0)
if ((double) GetPixelGreen(q) > threshold)
SetPixelGreen(q,QuantumRange-GetPixelGreen(q));
if ((channel & BlueChannel) != 0)
if ((double) GetPixelBlue(q) > threshold)
SetPixelBlue(q,QuantumRange-GetPixelBlue(q));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SolarizeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t e g a n o I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SteganoImage() hides a digital watermark within the image. Recover
% the hidden watermark later to prove that the authenticity of an image.
% Offset defines the start position within the image to hide the watermark.
%
% The format of the SteganoImage method is:
%
% Image *SteganoImage(const Image *image,Image *watermark,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o watermark: the watermark image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SteganoImage(const Image *image,const Image *watermark,
ExceptionInfo *exception)
{
#define GetBit(alpha,i) ((((size_t) (alpha) >> (size_t) (i)) & 0x01) != 0)
#define SetBit(alpha,i,set) (alpha)=(Quantum) ((set) != 0 ? (size_t) (alpha) \
| (one << (size_t) (i)) : (size_t) (alpha) & ~(one << (size_t) (i)))
#define SteganoImageTag "Stegano/Image"
CacheView
*stegano_view,
*watermark_view;
Image
*stegano_image;
int
c;
MagickBooleanType
status;
PixelPacket
pixel;
register PixelPacket
*q;
register ssize_t
x;
size_t
depth,
one;
ssize_t
i,
j,
k,
y;
/*
Initialize steganographic image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(watermark != (const Image *) NULL);
assert(watermark->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
one=1UL;
stegano_image=CloneImage(image,0,0,MagickTrue,exception);
if (stegano_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(stegano_image,DirectClass) == MagickFalse)
{
InheritException(exception,&stegano_image->exception);
stegano_image=DestroyImage(stegano_image);
return((Image *) NULL);
}
stegano_image->depth=MAGICKCORE_QUANTUM_DEPTH;
/*
Hide watermark in low-order bits of image.
*/
c=0;
i=0;
j=0;
depth=stegano_image->depth;
k=image->offset;
status=MagickTrue;
watermark_view=AcquireVirtualCacheView(watermark,exception);
stegano_view=AcquireAuthenticCacheView(stegano_image,exception);
for (i=(ssize_t) depth-1; (i >= 0) && (j < (ssize_t) depth); i--)
{
for (y=0; (y < (ssize_t) watermark->rows) && (j < (ssize_t) depth); y++)
{
for (x=0; (x < (ssize_t) watermark->columns) && (j < (ssize_t) depth); x++)
{
(void) GetOneCacheViewVirtualPixel(watermark_view,x,y,&pixel,exception);
if ((k/(ssize_t) stegano_image->columns) >= (ssize_t) stegano_image->rows)
break;
q=GetCacheViewAuthenticPixels(stegano_view,k % (ssize_t)
stegano_image->columns,k/(ssize_t) stegano_image->columns,1,1,
exception);
if (q == (PixelPacket *) NULL)
break;
switch (c)
{
case 0:
{
SetBit(GetPixelRed(q),j,GetBit(ClampToQuantum(GetPixelIntensity(
image,&pixel)),i));
break;
}
case 1:
{
SetBit(GetPixelGreen(q),j,GetBit(ClampToQuantum(GetPixelIntensity(
image,&pixel)),i));
break;
}
case 2:
{
SetBit(GetPixelBlue(q),j,GetBit(ClampToQuantum(GetPixelIntensity(
image,&pixel)),i));
break;
}
}
if (SyncCacheViewAuthenticPixels(stegano_view,exception) == MagickFalse)
break;
c++;
if (c == 3)
c=0;
k++;
if (k == (ssize_t) (stegano_image->columns*stegano_image->columns))
k=0;
if (k == image->offset)
j++;
}
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SteganoImageTag,(MagickOffsetType)
(depth-i),depth);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
stegano_view=DestroyCacheView(stegano_view);
watermark_view=DestroyCacheView(watermark_view);
if (stegano_image->storage_class == PseudoClass)
(void) SyncImage(stegano_image);
if (status == MagickFalse)
stegano_image=DestroyImage(stegano_image);
return(stegano_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t e r e o A n a g l y p h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% StereoAnaglyphImage() combines two images and produces a single image that
% is the composite of a left and right image of a stereo pair. Special
% red-green stereo glasses are required to view this effect.
%
% The format of the StereoAnaglyphImage method is:
%
% Image *StereoImage(const Image *left_image,const Image *right_image,
% ExceptionInfo *exception)
% Image *StereoAnaglyphImage(const Image *left_image,
% const Image *right_image,const ssize_t x_offset,const ssize_t y_offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o left_image: the left image.
%
% o right_image: the right image.
%
% o exception: return any errors or warnings in this structure.
%
% o x_offset: amount, in pixels, by which the left image is offset to the
% right of the right image.
%
% o y_offset: amount, in pixels, by which the left image is offset to the
% bottom of the right image.
%
%
*/
MagickExport Image *StereoImage(const Image *left_image,
const Image *right_image,ExceptionInfo *exception)
{
return(StereoAnaglyphImage(left_image,right_image,0,0,exception));
}
MagickExport Image *StereoAnaglyphImage(const Image *left_image,
const Image *right_image,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
#define StereoImageTag "Stereo/Image"
const Image
*image;
Image
*stereo_image;
MagickBooleanType
status;
ssize_t
y;
assert(left_image != (const Image *) NULL);
assert(left_image->signature == MagickCoreSignature);
if (left_image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
left_image->filename);
assert(right_image != (const Image *) NULL);
assert(right_image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=left_image;
if ((left_image->columns != right_image->columns) ||
(left_image->rows != right_image->rows))
ThrowImageException(ImageError,"LeftAndRightImageSizesDiffer");
/*
Initialize stereo image attributes.
*/
stereo_image=CloneImage(left_image,left_image->columns,left_image->rows,
MagickTrue,exception);
if (stereo_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(stereo_image,DirectClass) == MagickFalse)
{
InheritException(exception,&stereo_image->exception);
stereo_image=DestroyImage(stereo_image);
return((Image *) NULL);
}
(void) SetImageColorspace(stereo_image,sRGBColorspace);
/*
Copy left image to red channel and right image to blue channel.
*/
status=MagickTrue;
for (y=0; y < (ssize_t) stereo_image->rows; y++)
{
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
x;
register PixelPacket
*magick_restrict r;
p=GetVirtualPixels(left_image,-x_offset,y-y_offset,image->columns,1,
exception);
q=GetVirtualPixels(right_image,0,y,right_image->columns,1,exception);
r=QueueAuthenticPixels(stereo_image,0,y,stereo_image->columns,1,exception);
if ((p == (PixelPacket *) NULL) || (q == (PixelPacket *) NULL) ||
(r == (PixelPacket *) NULL))
break;
for (x=0; x < (ssize_t) stereo_image->columns; x++)
{
SetPixelRed(r,GetPixelRed(p));
SetPixelGreen(r,GetPixelGreen(q));
SetPixelBlue(r,GetPixelBlue(q));
SetPixelOpacity(r,(GetPixelOpacity(p)+q->opacity)/2);
p++;
q++;
r++;
}
if (SyncAuthenticPixels(stereo_image,exception) == MagickFalse)
break;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,StereoImageTag,(MagickOffsetType) y,
stereo_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
if (status == MagickFalse)
stereo_image=DestroyImage(stereo_image);
return(stereo_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S w i r l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SwirlImage() swirls the pixels about the center of the image, where
% degrees indicates the sweep of the arc through which each pixel is moved.
% You get a more dramatic effect as the degrees move from 1 to 360.
%
% The format of the SwirlImage method is:
%
% Image *SwirlImage(const Image *image,double degrees,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o degrees: Define the tightness of the swirling effect.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SwirlImage(const Image *image,double degrees,
ExceptionInfo *exception)
{
#define SwirlImageTag "Swirl/Image"
CacheView
*image_view,
*swirl_view;
double
radius;
Image
*swirl_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
PointInfo
center,
scale;
ssize_t
y;
/*
Initialize swirl image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
swirl_image=CloneImage(image,0,0,MagickTrue,exception);
if (swirl_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(swirl_image,DirectClass) == MagickFalse)
{
InheritException(exception,&swirl_image->exception);
swirl_image=DestroyImage(swirl_image);
return((Image *) NULL);
}
if (swirl_image->background_color.opacity != OpaqueOpacity)
swirl_image->matte=MagickTrue;
/*
Compute scaling factor.
*/
center.x=(double) image->columns/2.0;
center.y=(double) image->rows/2.0;
radius=MagickMax(center.x,center.y);
scale.x=1.0;
scale.y=1.0;
if (image->columns > image->rows)
scale.y=(double) image->columns/(double) image->rows;
else
if (image->columns < image->rows)
scale.x=(double) image->rows/(double) image->columns;
degrees=(double) DegreesToRadians(degrees);
/*
Swirl image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(swirl_image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
swirl_view=AcquireAuthenticCacheView(swirl_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,swirl_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
distance;
MagickPixelPacket
pixel;
PointInfo
delta;
register IndexPacket
*magick_restrict swirl_indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(swirl_view,0,y,swirl_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
swirl_indexes=GetCacheViewAuthenticIndexQueue(swirl_view);
delta.y=scale.y*(double) (y-center.y);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
/*
Determine if the pixel is within an ellipse.
*/
delta.x=scale.x*(double) (x-center.x);
distance=delta.x*delta.x+delta.y*delta.y;
if (distance < (radius*radius))
{
double
cosine,
factor,
sine;
/*
Swirl the pixel.
*/
factor=1.0-sqrt(distance)/radius;
sine=sin((double) (degrees*factor*factor));
cosine=cos((double) (degrees*factor*factor));
status=InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) ((cosine*delta.x-sine*delta.y)/
scale.x+center.x),(double) ((sine*delta.x+cosine*delta.y)/scale.y+
center.y),&pixel,exception);
if (status == MagickFalse)
break;
SetPixelPacket(swirl_image,&pixel,q,swirl_indexes+x);
}
q++;
}
if (SyncCacheViewAuthenticPixels(swirl_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SwirlImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
swirl_view=DestroyCacheView(swirl_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
swirl_image=DestroyImage(swirl_image);
return(swirl_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TintImage() applies a color vector to each pixel in the image. The length
% of the vector is 0 for black and white and at its maximum for the midtones.
% The vector weighting function is f(x)=(1-(4.0*((x-0.5)*(x-0.5))))
%
% The format of the TintImage method is:
%
% Image *TintImage(const Image *image,const char *opacity,
% const PixelPacket tint,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: A color value used for tinting.
%
% o tint: A color value used for tinting.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TintImage(const Image *image,const char *opacity,
const PixelPacket tint,ExceptionInfo *exception)
{
#define TintImageTag "Tint/Image"
CacheView
*image_view,
*tint_view;
GeometryInfo
geometry_info;
Image
*tint_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
color_vector,
pixel;
MagickStatusType
flags;
ssize_t
y;
/*
Allocate tint image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
tint_image=CloneImage(image,0,0,MagickTrue,exception);
if (tint_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(tint_image,DirectClass) == MagickFalse)
{
InheritException(exception,&tint_image->exception);
tint_image=DestroyImage(tint_image);
return((Image *) NULL);
}
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
(IsPixelGray(&tint) == MagickFalse))
(void) SetImageColorspace(tint_image,sRGBColorspace);
if (opacity == (const char *) NULL)
return(tint_image);
/*
Determine RGB values of the tint color.
*/
flags=ParseGeometry(opacity,&geometry_info);
pixel.red=geometry_info.rho;
pixel.green=geometry_info.rho;
pixel.blue=geometry_info.rho;
pixel.opacity=(MagickRealType) OpaqueOpacity;
if ((flags & SigmaValue) != 0)
pixel.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
pixel.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
pixel.opacity=geometry_info.psi;
color_vector.red=(MagickRealType) (pixel.red*tint.red/100.0-
PixelPacketIntensity(&tint));
color_vector.green=(MagickRealType) (pixel.green*tint.green/100.0-
PixelPacketIntensity(&tint));
color_vector.blue=(MagickRealType) (pixel.blue*tint.blue/100.0-
PixelPacketIntensity(&tint));
/*
Tint image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
tint_view=AcquireAuthenticCacheView(tint_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,tint_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*magick_restrict p;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(tint_view,0,y,tint_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
weight;
MagickPixelPacket
pixel;
weight=QuantumScale*GetPixelRed(p)-0.5;
pixel.red=(MagickRealType) GetPixelRed(p)+color_vector.red*(1.0-(4.0*
(weight*weight)));
SetPixelRed(q,ClampToQuantum(pixel.red));
weight=QuantumScale*GetPixelGreen(p)-0.5;
pixel.green=(MagickRealType) GetPixelGreen(p)+color_vector.green*(1.0-
(4.0*(weight*weight)));
SetPixelGreen(q,ClampToQuantum(pixel.green));
weight=QuantumScale*GetPixelBlue(p)-0.5;
pixel.blue=(MagickRealType) GetPixelBlue(p)+color_vector.blue*(1.0-(4.0*
(weight*weight)));
SetPixelBlue(q,ClampToQuantum(pixel.blue));
SetPixelOpacity(q,GetPixelOpacity(p));
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(tint_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,TintImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
tint_view=DestroyCacheView(tint_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
tint_image=DestroyImage(tint_image);
return(tint_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% V i g n e t t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% VignetteImage() softens the edges of the image in vignette style.
%
% The format of the VignetteImage method is:
%
% Image *VignetteImage(const Image *image,const double radius,
% const double sigma,const ssize_t x,const ssize_t y,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o x, y: Define the x and y ellipse offset.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *VignetteImage(const Image *image,const double radius,
const double sigma,const ssize_t x,const ssize_t y,ExceptionInfo *exception)
{
char
ellipse[MaxTextExtent];
DrawInfo
*draw_info;
Image
*blur_image,
*canvas_image,
*oval_image,
*vignette_image;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
canvas_image=CloneImage(image,0,0,MagickTrue,exception);
if (canvas_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(canvas_image,DirectClass) == MagickFalse)
{
InheritException(exception,&canvas_image->exception);
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
canvas_image->matte=MagickTrue;
oval_image=CloneImage(canvas_image,canvas_image->columns,canvas_image->rows,
MagickTrue,exception);
if (oval_image == (Image *) NULL)
{
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
(void) QueryColorDatabase("#000000",&oval_image->background_color,exception);
(void) SetImageBackgroundColor(oval_image);
draw_info=CloneDrawInfo((const ImageInfo *) NULL,(const DrawInfo *) NULL);
(void) QueryColorDatabase("#ffffff",&draw_info->fill,exception);
(void) QueryColorDatabase("#ffffff",&draw_info->stroke,exception);
(void) FormatLocaleString(ellipse,MaxTextExtent,
"ellipse %g,%g,%g,%g,0.0,360.0",image->columns/2.0,
image->rows/2.0,image->columns/2.0-x,image->rows/2.0-y);
draw_info->primitive=AcquireString(ellipse);
(void) DrawImage(oval_image,draw_info);
draw_info=DestroyDrawInfo(draw_info);
blur_image=BlurImage(oval_image,radius,sigma,exception);
oval_image=DestroyImage(oval_image);
if (blur_image == (Image *) NULL)
{
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
blur_image->matte=MagickFalse;
(void) CompositeImage(canvas_image,CopyOpacityCompositeOp,blur_image,0,0);
blur_image=DestroyImage(blur_image);
vignette_image=MergeImageLayers(canvas_image,FlattenLayer,exception);
canvas_image=DestroyImage(canvas_image);
if (vignette_image != (Image *) NULL)
(void) TransformImageColorspace(vignette_image,image->colorspace);
return(vignette_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W a v e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WaveImage() creates a "ripple" effect in the image by shifting the pixels
% vertically along a sine wave whose amplitude and wavelength is specified
% by the given parameters.
%
% The format of the WaveImage method is:
%
% Image *WaveImage(const Image *image,const double amplitude,
% const double wave_length,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o amplitude, wave_length: Define the amplitude and wave length of the
% sine wave.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *WaveImage(const Image *image,const double amplitude,
const double wave_length,ExceptionInfo *exception)
{
#define WaveImageTag "Wave/Image"
CacheView
*image_view,
*wave_view;
Image
*wave_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
MagickRealType
*sine_map;
register ssize_t
i;
ssize_t
y;
/*
Initialize wave image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
wave_image=CloneImage(image,image->columns,(size_t) (image->rows+2.0*
fabs(amplitude)),MagickTrue,exception);
if (wave_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(wave_image,DirectClass) == MagickFalse)
{
InheritException(exception,&wave_image->exception);
wave_image=DestroyImage(wave_image);
return((Image *) NULL);
}
if (wave_image->background_color.opacity != OpaqueOpacity)
wave_image->matte=MagickTrue;
/*
Allocate sine map.
*/
sine_map=(MagickRealType *) AcquireQuantumMemory((size_t) wave_image->columns,
sizeof(*sine_map));
if (sine_map == (MagickRealType *) NULL)
{
wave_image=DestroyImage(wave_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (i=0; i < (ssize_t) wave_image->columns; i++)
sine_map[i]=fabs(amplitude)+amplitude*sin((double) ((2.0*MagickPI*i)/
wave_length));
/*
Wave image.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(wave_image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
wave_view=AcquireAuthenticCacheView(wave_image,exception);
(void) SetCacheViewVirtualPixelMethod(image_view,
BackgroundVirtualPixelMethod);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,wave_image,wave_image->rows,1)
#endif
for (y=0; y < (ssize_t) wave_image->rows; y++)
{
MagickPixelPacket
pixel;
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(wave_view,0,y,wave_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(wave_view);
pixel=zero;
for (x=0; x < (ssize_t) wave_image->columns; x++)
{
status=InterpolateMagickPixelPacket(image,image_view,
UndefinedInterpolatePixel,(double) x,(double) (y-sine_map[x]),&pixel,
exception);
if (status == MagickFalse)
break;
SetPixelPacket(wave_image,&pixel,q,indexes+x);
q++;
}
if (SyncCacheViewAuthenticPixels(wave_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,WaveImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
wave_view=DestroyCacheView(wave_view);
image_view=DestroyCacheView(image_view);
sine_map=(MagickRealType *) RelinquishMagickMemory(sine_map);
if (status == MagickFalse)
wave_image=DestroyImage(wave_image);
return(wave_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W a v e l e t D e n o i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WaveletDenoiseImage() removes noise from the image using a wavelet
% transform. The wavelet transform is a fast hierarchical scheme for
% processing an image using a set of consecutive lowpass and high_pass filters,
% followed by a decimation. This results in a decomposition into different
% scales which can be regarded as different “frequency bands”, determined by
% the mother wavelet. Adapted from dcraw.c by David Coffin.
%
% The format of the WaveletDenoiseImage method is:
%
% Image *WaveletDenoiseImage(const Image *image,const double threshold,
% const double softness,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: set the threshold for smoothing.
%
% o softness: attenuate the smoothing threshold.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline void HatTransform(const float *magick_restrict pixels,
const size_t stride,const size_t extent,const size_t scale,float *kernel)
{
const float
*magick_restrict p,
*magick_restrict q,
*magick_restrict r;
register ssize_t
i;
p=pixels;
q=pixels+scale*stride,
r=pixels+scale*stride;
for (i=0; i < (ssize_t) scale; i++)
{
kernel[i]=0.25f*(*p+(*p)+(*q)+(*r));
p+=stride;
q-=stride;
r+=stride;
}
for ( ; i < (ssize_t) (extent-scale); i++)
{
kernel[i]=0.25f*(2.0f*(*p)+*(p-scale*stride)+*(p+scale*stride));
p+=stride;
}
q=p-scale*stride;
r=pixels+stride*(extent-2);
for ( ; i < (ssize_t) extent; i++)
{
kernel[i]=0.25f*(*p+(*p)+(*q)+(*r));
p+=stride;
q+=stride;
r-=stride;
}
}
MagickExport Image *WaveletDenoiseImage(const Image *image,
const double threshold,const double softness,ExceptionInfo *exception)
{
CacheView
*image_view,
*noise_view;
float
*kernel,
*pixels;
Image
*noise_image;
MagickBooleanType
status;
MagickSizeType
number_pixels;
MemoryInfo
*pixels_info;
size_t
max_channels;
ssize_t
channel;
static const double
noise_levels[]= {
0.8002, 0.2735, 0.1202, 0.0585, 0.0291, 0.0152, 0.0080, 0.0044 };
/*
Initialize noise image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
noise_image=(Image *) NULL;
#if defined(MAGICKCORE_OPENCL_SUPPORT)
noise_image=AccelerateWaveletDenoiseImage(image,threshold,exception);
if (noise_image != (Image *) NULL)
return(noise_image);
#endif
noise_image=CloneImage(image,0,0,MagickTrue,exception);
if (noise_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(noise_image,DirectClass) == MagickFalse)
{
noise_image=DestroyImage(noise_image);
return((Image *) NULL);
}
if (AcquireMagickResource(WidthResource,3*image->columns) == MagickFalse)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
pixels_info=AcquireVirtualMemory(3*image->columns,image->rows*
sizeof(*pixels));
kernel=(float *) AcquireQuantumMemory(MagickMax(image->rows,image->columns)+1,
GetOpenMPMaximumThreads()*sizeof(*kernel));
if ((pixels_info == (MemoryInfo *) NULL) || (kernel == (float *) NULL))
{
if (kernel != (float *) NULL)
kernel=(float *) RelinquishMagickMemory(kernel);
if (pixels_info != (MemoryInfo *) NULL)
pixels_info=RelinquishVirtualMemory(pixels_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
pixels=(float *) GetVirtualMemoryBlob(pixels_info);
status=MagickTrue;
number_pixels=image->columns*image->rows;
max_channels=(size_t) (image->colorspace == CMYKColorspace ? 4 : 3);
image_view=AcquireAuthenticCacheView(image,exception);
noise_view=AcquireAuthenticCacheView(noise_image,exception);
for (channel=0; channel < (ssize_t) max_channels; channel++)
{
register ssize_t
i;
size_t
high_pass,
low_pass;
ssize_t
level,
y;
if (status == MagickFalse)
continue;
/*
Copy channel from image to wavelet pixel array.
*/
i=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
ssize_t
x;
p=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
switch (channel)
{
case 0: pixels[i]=(float) GetPixelRed(p); break;
case 1: pixels[i]=(float) GetPixelGreen(p); break;
case 2: pixels[i]=(float) GetPixelBlue(p); break;
case 3: pixels[i]=(float) indexes[x]; break;
default: break;
}
i++;
p++;
}
}
/*
Low pass filter outputs are called approximation kernel & high pass
filters are referred to as detail kernel. The detail kernel
have high values in the noisy parts of the signal.
*/
high_pass=0;
for (level=0; level < 5; level++)
{
double
magnitude;
ssize_t
x,
y;
low_pass=(size_t) (number_pixels*((level & 0x01)+1));
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,1) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register float
*magick_restrict p,
*magick_restrict q;
register ssize_t
x;
p=kernel+id*image->columns;
q=pixels+y*image->columns;
HatTransform(q+high_pass,1,image->columns,(size_t) (1UL << level),p);
q+=low_pass;
for (x=0; x < (ssize_t) image->columns; x++)
*q++=(*p++);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,1) \
magick_number_threads(image,image,image->columns,1)
#endif
for (x=0; x < (ssize_t) image->columns; x++)
{
const int
id = GetOpenMPThreadId();
register float
*magick_restrict p,
*magick_restrict q;
register ssize_t
y;
p=kernel+id*image->rows;
q=pixels+x+low_pass;
HatTransform(q,image->columns,image->rows,(size_t) (1UL << level),p);
for (y=0; y < (ssize_t) image->rows; y++)
{
*q=(*p++);
q+=image->columns;
}
}
/*
To threshold, each coefficient is compared to a threshold value and
attenuated / shrunk by some factor.
*/
magnitude=threshold*noise_levels[level];
for (i=0; i < (ssize_t) number_pixels; ++i)
{
pixels[high_pass+i]-=pixels[low_pass+i];
if (pixels[high_pass+i] < -magnitude)
pixels[high_pass+i]+=magnitude-softness*magnitude;
else
if (pixels[high_pass+i] > magnitude)
pixels[high_pass+i]-=magnitude-softness*magnitude;
else
pixels[high_pass+i]*=softness;
if (high_pass != 0)
pixels[i]+=pixels[high_pass+i];
}
high_pass=low_pass;
}
/*
Reconstruct image from the thresholded wavelet kernel.
*/
i=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register IndexPacket
*magick_restrict noise_indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
q=GetCacheViewAuthenticPixels(noise_view,0,y,noise_image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
break;
}
noise_indexes=GetCacheViewAuthenticIndexQueue(noise_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
float
pixel;
pixel=pixels[i]+pixels[low_pass+i];
switch (channel)
{
case 0: SetPixelRed(q,ClampToQuantum(pixel)); break;
case 1: SetPixelGreen(q,ClampToQuantum(pixel)); break;
case 2: SetPixelBlue(q,ClampToQuantum(pixel)); break;
case 3: SetPixelIndex(noise_indexes+x,ClampToQuantum(pixel)); break;
default: break;
}
i++;
q++;
}
sync=SyncCacheViewAuthenticPixels(noise_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,AddNoiseImageTag,(MagickOffsetType)
channel,max_channels);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
noise_view=DestroyCacheView(noise_view);
image_view=DestroyCacheView(image_view);
kernel=(float *) RelinquishMagickMemory(kernel);
pixels_info=RelinquishVirtualMemory(pixels_info);
return(noise_image);
}
|
pr66199-8.c | /* PR middle-end/66199 */
/* { dg-do run } */
#pragma omp declare target
int u[1024], v[1024], w[1024];
#pragma omp end declare target
__attribute__((noinline, noclone)) long
f1 (long a, long b)
{
long d;
#pragma omp target map(from: d)
#pragma omp teams default(none) shared(a, b, d, u, v, w)
#pragma omp distribute simd firstprivate (a, b)
for (d = a; d < b; d++)
u[d] = v[d] + w[d];
return d;
}
__attribute__((noinline, noclone)) long
f2 (long a, long b, long c)
{
long d, e;
#pragma omp target map(from: d, e)
#pragma omp teams default(none) firstprivate (a, b, c) shared(d, e, u, v, w)
#pragma omp distribute simd linear(d) lastprivate(e)
for (d = a; d < b; d++)
{
u[d] = v[d] + w[d];
e = c + d * 5;
}
return d + e;
}
__attribute__((noinline, noclone)) long
f3 (long a1, long b1, long a2, long b2)
{
long d1, d2;
#pragma omp target map(from: d1, d2)
#pragma omp teams default(none) shared(a1, b1, a2, b2, d1, d2, u, v, w)
#pragma omp distribute simd firstprivate (a1, b1, a2, b2) lastprivate(d1, d2) collapse(2)
for (d1 = a1; d1 < b1; d1++)
for (d2 = a2; d2 < b2; d2++)
u[d1 * 32 + d2] = v[d1 * 32 + d2] + w[d1 * 32 + d2];
return d1 + d2;
}
__attribute__((noinline, noclone)) long
f4 (long a1, long b1, long a2, long b2)
{
long d1, d2;
#pragma omp target map(from: d1, d2)
#pragma omp teams default(none) firstprivate (a1, b1, a2, b2) shared(d1, d2, u, v, w)
#pragma omp distribute simd collapse(2)
for (d1 = a1; d1 < b1; d1++)
for (d2 = a2; d2 < b2; d2++)
u[d1 * 32 + d2] = v[d1 * 32 + d2] + w[d1 * 32 + d2];
return d1 + d2;
}
int
main ()
{
if (f1 (0, 1024) != 1024
|| f2 (0, 1024, 17) != 1024 + (17 + 5 * 1023)
|| f3 (0, 32, 0, 32) != 64
|| f4 (0, 32, 0, 32) != 64)
__builtin_abort ();
return 0;
}
|
GB_concat_sparse.c | //------------------------------------------------------------------------------
// GB_concat_sparse: concatenate an array of matrices into a sparse matrix
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
#define GB_FREE_WORKSPACE \
if (S != NULL) \
{ \
for (int64_t k = 0 ; k < m * n ; k++) \
{ \
GB_Matrix_free (&(S [k])) ; \
} \
} \
GB_FREE_WORK (&S, S_size) ; \
GB_FREE_WORK (&Work, Work_size) ; \
GB_WERK_POP (A_ek_slicing, int64_t) ;
#define GB_FREE_ALL \
{ \
GB_FREE_WORKSPACE ; \
GB_phbix_free (C) ; \
}
#include "GB_concat.h"
GrB_Info GB_concat_sparse // concatenate into a sparse matrix
(
GrB_Matrix C, // input/output matrix for results
const bool C_iso, // if true, construct C as iso
const GB_void *cscalar, // iso value of C, if C is io
const int64_t cnz, // # of entries in C
const 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
GB_Context Context
)
{
//--------------------------------------------------------------------------
// allocate C as a sparse matrix
//--------------------------------------------------------------------------
GrB_Info info ;
GrB_Matrix A = NULL ;
ASSERT_MATRIX_OK (C, "C input to concat sparse", GB0) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
int64_t *Work = NULL ;
size_t Work_size = 0 ;
GrB_Matrix *S = NULL ;
size_t S_size = 0 ;
GrB_Type ctype = C->type ;
int64_t cvlen = C->vlen ;
int64_t cvdim = C->vdim ;
bool csc = C->is_csc ;
size_t csize = ctype->size ;
GB_Type_code ccode = ctype->code ;
float hyper_switch = C->hyper_switch ;
float bitmap_switch = C->bitmap_switch ;
int sparsity_control = C->sparsity_control ;
GB_phbix_free (C) ;
// set C->iso = C_iso OK
GB_OK (GB_new_bix (&C, // existing header
ctype, cvlen, cvdim, GB_Ap_malloc, csc, GxB_SPARSE, false,
hyper_switch, cvdim, cnz, true, C_iso, Context)) ;
C->bitmap_switch = bitmap_switch ;
C->sparsity_control = sparsity_control ;
int64_t *restrict Cp = C->p ;
int64_t *restrict Ci = C->i ;
GB_GET_NTHREADS_MAX (nthreads_max, chunk, Context) ;
if (C_iso)
{
memcpy (C->x, cscalar, csize) ;
}
//--------------------------------------------------------------------------
// allocate workspace
//--------------------------------------------------------------------------
int64_t nouter = csc ? n : m ;
int64_t ninner = csc ? m : n ;
Work = GB_CALLOC_WORK (ninner * cvdim, int64_t, &Work_size) ;
S = GB_CALLOC_WORK (m * n, GrB_Matrix, &S_size) ;
if (S == NULL || Work == NULL)
{
// out of memory
GB_FREE_ALL ;
return (GrB_OUT_OF_MEMORY) ;
}
//--------------------------------------------------------------------------
// count entries in each vector of each tile
//--------------------------------------------------------------------------
for (int64_t outer = 0 ; outer < nouter ; outer++)
{
for (int64_t inner = 0 ; inner < ninner ; inner++)
{
//------------------------------------------------------------------
// get the tile A; transpose and typecast, if needed
//------------------------------------------------------------------
A = csc ? GB_TILE (Tiles, inner, outer)
: GB_TILE (Tiles, outer, inner) ;
GrB_Matrix T = NULL ;
ASSERT_MATRIX_OK (A, "A tile for concat sparse", GB0) ;
if (csc != A->is_csc)
{
// T = (ctype) A', not in-place, using a dynamic header
GB_OK (GB_new (&T, // auto sparsity, new header
A->type, A->vdim, A->vlen, GB_Ap_null, csc,
GxB_AUTO_SPARSITY, -1, 1, Context)) ;
// save T in array S
if (csc)
{
GB_TILE (S, inner, outer) = T ;
}
else
{
GB_TILE (S, outer, inner) = T ;
}
GB_OK (GB_transpose_cast (T, ctype, csc, A, false, Context)) ;
A = T ;
GB_MATRIX_WAIT (A) ;
ASSERT_MATRIX_OK (A, "T=A' for concat sparse", GB0) ;
}
ASSERT (C->is_csc == A->is_csc) ;
ASSERT (!GB_ANY_PENDING_WORK (A)) ;
//------------------------------------------------------------------
// ensure the tile is not bitmap
//------------------------------------------------------------------
if (GB_IS_BITMAP (A))
{
if (T == NULL)
{
// copy A into T
// set T->iso = A->iso OK: no burble needed
GB_OK (GB_dup_worker (&T, A->iso, A, true, NULL, Context)) ;
// save T in array S
if (csc)
{
GB_TILE (S, inner, outer) = T ;
}
else
{
GB_TILE (S, outer, inner) = T ;
}
ASSERT_MATRIX_OK (T, "T=dup(A) for concat sparse", GB0) ;
}
// convert T from bitmap to sparse
GB_OK (GB_convert_bitmap_to_sparse (T, Context)) ;
ASSERT_MATRIX_OK (T, "T bitmap to sparse, concat sparse", GB0) ;
A = T ;
}
ASSERT (!GB_IS_BITMAP (A)) ;
//------------------------------------------------------------------
// log the # of entries in each vector of the tile A
//------------------------------------------------------------------
const int64_t anvec = A->nvec ;
const int64_t avlen = A->vlen ;
int64_t cvstart = csc ? Tile_cols [outer] : Tile_rows [outer] ;
int64_t *restrict W = Work + inner * cvdim + cvstart ;
int nth = GB_nthreads (anvec, chunk, nthreads_max) ;
if (GB_IS_FULL (A))
{
// A is full
int64_t j ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (j = 0 ; j < anvec ; j++)
{
// W [j] = # of entries in A(:,j), which is just avlen
W [j] = avlen ;
}
}
else
{
// A is sparse or hyper
int64_t k ;
int64_t *restrict Ah = A->h ;
int64_t *restrict Ap = A->p ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (k = 0 ; k < anvec ; k++)
{
// W [j] = # of entries in A(:,j), the kth column of A
int64_t j = GBH (Ah, k) ;
W [j] = Ap [k+1] - Ap [k] ;
}
}
}
}
//--------------------------------------------------------------------------
// cumulative sum of entries in each tile
//--------------------------------------------------------------------------
int nth = GB_nthreads (ninner*cvdim, chunk, nthreads_max) ;
int64_t k ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (k = 0 ; k < cvdim ; k++)
{
int64_t s = 0 ;
for (int64_t inner = 0 ; inner < ninner ; inner++)
{
int64_t p = inner * cvdim + k ;
int64_t c = Work [p] ;
Work [p] = s ;
s += c ;
}
// total number of entries in C(:,k)
Cp [k] = s ;
}
GB_cumsum (Cp, cvdim, &(C->nvec_nonempty), nthreads_max, Context) ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (k = 0 ; k < cvdim ; k++)
{
int64_t pC = Cp [k] ;
for (int64_t inner = 0 ; inner < ninner ; inner++)
{
int64_t p = inner * cvdim + k ;
Work [p] += pC ;
}
}
//--------------------------------------------------------------------------
// concatenate all matrices into C
//--------------------------------------------------------------------------
for (int64_t outer = 0 ; outer < nouter ; outer++)
{
for (int64_t inner = 0 ; inner < ninner ; inner++)
{
//------------------------------------------------------------------
// get the tile A, either the temporary matrix T or the original A
//------------------------------------------------------------------
A = csc ? GB_TILE (S, inner, outer)
: GB_TILE (S, outer, inner) ;
if (A == NULL)
{
A = csc ? GB_TILE (Tiles, inner, outer)
: GB_TILE (Tiles, outer, inner) ;
}
ASSERT_MATRIX_OK (A, "A tile again, concat sparse", GB0) ;
ASSERT (!GB_IS_BITMAP (A)) ;
ASSERT (C->is_csc == A->is_csc) ;
ASSERT (!GB_ANY_PENDING_WORK (A)) ;
GB_Type_code acode = A->type->code ;
//------------------------------------------------------------------
// determine where to place the tile in C
//------------------------------------------------------------------
// The tile A appears in vectors cvstart:cvend-1 of C, and indices
// cistart:ciend-1.
int64_t cvstart, cvend, cistart, ciend ;
if (csc)
{
// C and A are held by column
// Tiles is row-major and accessed in column order
cvstart = Tile_cols [outer] ;
cvend = Tile_cols [outer+1] ;
cistart = Tile_rows [inner] ;
ciend = Tile_rows [inner+1] ;
}
else
{
// C and A are held by row
// Tiles is row-major and accessed in row order
cvstart = Tile_rows [outer] ;
cvend = Tile_rows [outer+1] ;
cistart = Tile_cols [inner] ;
ciend = Tile_cols [inner+1] ;
}
// get the workspace pointer array W for this tile
int64_t *restrict W = Work + inner * cvdim + cvstart ;
//------------------------------------------------------------------
// slice the tile
//------------------------------------------------------------------
int64_t avdim = cvend - cvstart ;
int64_t avlen = ciend - cistart ;
ASSERT (avdim == A->vdim) ;
ASSERT (avlen == A->vlen) ;
int A_nthreads, A_ntasks ;
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 ;
GB_SLICE_MATRIX (A, 1, chunk) ;
//------------------------------------------------------------------
// copy the tile A into C
//------------------------------------------------------------------
bool done = false ;
if (C_iso)
{
//--------------------------------------------------------------
// C and A are iso
//--------------------------------------------------------------
#define GB_ISO_CONCAT
#define GB_COPY(pC,pA,A_iso) ;
#include "GB_concat_sparse_template.c"
}
else
{
#ifndef GBCOMPACT
if (ccode == acode)
{
// no typecasting needed
switch (csize)
{
#undef GB_COPY
#define GB_COPY(pC,pA,A_iso) \
Cx [pC] = GBX (Ax, pA, A_iso) ;
case GB_1BYTE : // uint8, int8, bool, or 1-byte user
#define GB_CTYPE uint8_t
#include "GB_concat_sparse_template.c"
break ;
case GB_2BYTE : // uint16, int16, or 2-byte user
#define GB_CTYPE uint16_t
#include "GB_concat_sparse_template.c"
break ;
case GB_4BYTE : // uint32, int32, float, or 4-byte user
#define GB_CTYPE uint32_t
#include "GB_concat_sparse_template.c"
break ;
case GB_8BYTE : // uint64, int64, double, float complex,
// or 8-byte user defined
#define GB_CTYPE uint64_t
#include "GB_concat_sparse_template.c"
break ;
case GB_16BYTE : // double complex or 16-byte user
#define GB_CTYPE GB_blob16
#include "GB_concat_sparse_template.c"
break ;
default:;
}
}
#endif
}
if (!done)
{
// with typecasting or user-defined types
GB_cast_function cast_A_to_C = GB_cast_factory (ccode, acode) ;
size_t asize = A->type->size ;
#define GB_CTYPE GB_void
#undef GB_COPY
#define GB_COPY(pC,pA,A_iso) \
cast_A_to_C (Cx + (pC)*csize, \
Ax + (A_iso ? 0:(pA)*asize), asize) ;
#include "GB_concat_sparse_template.c"
}
GB_WERK_POP (A_ek_slicing, int64_t) ;
}
}
//--------------------------------------------------------------------------
// free workspace and return result
//--------------------------------------------------------------------------
GB_FREE_WORKSPACE ;
C->magic = GB_MAGIC ;
ASSERT_MATRIX_OK (C, "C from concat sparse", GB0) ;
return (GrB_SUCCESS) ;
}
|
constitute.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO N N SSSSS TTTTT IIIII TTTTT U U TTTTT EEEEE %
% C O O NN N SS T I T U U T E %
% C O O N N N ESSS T I T U U T EEE %
% C O O N NN SS T I T U U T E %
% CCCC OOO N N SSSSS T IIIII T UUU T EEEEE %
% %
% %
% MagickCore Methods to Consitute an Image %
% %
% Software Design %
% Cristy %
% October 1998 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/attribute.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/client.h"
#include "MagickCore/coder-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/constitute.h"
#include "MagickCore/constitute-private.h"
#include "MagickCore/delegate.h"
#include "MagickCore/geometry.h"
#include "MagickCore/identify.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/policy.h"
#include "MagickCore/profile.h"
#include "MagickCore/profile-private.h"
#include "MagickCore/property.h"
#include "MagickCore/quantum.h"
#include "MagickCore/resize.h"
#include "MagickCore/resource_.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/statistic.h"
#include "MagickCore/stream.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/timer.h"
#include "MagickCore/token.h"
#include "MagickCore/transform.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n s t i t u t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConstituteImage() returns an image from the pixel data you supply.
% The pixel data must be in scanline order top-to-bottom. The data can be
% char, short int, int, float, or double. Float and double require the
% pixels to be normalized [0..1], otherwise [0..QuantumRange]. For example, to
% create a 640x480 image from unsigned red-green-blue character data, use:
%
% image = ConstituteImage(640,480,"RGB",CharPixel,pixels,&exception);
%
% The format of the ConstituteImage method is:
%
% Image *ConstituteImage(const size_t columns,const size_t rows,
% const char *map,const StorageType storage,const void *pixels,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o columns: width in pixels of the image.
%
% o rows: height in pixels of the image.
%
% o map: This string reflects the expected ordering of the pixel array.
% It can be any combination or order of R = red, G = green, B = blue,
% A = alpha (0 is transparent), O = opacity (0 is opaque), C = cyan,
% Y = yellow, M = magenta, K = black, I = intensity (for grayscale),
% P = pad.
%
% o storage: Define the data type of the pixels. Float and double types are
% expected to be normalized [0..1] otherwise [0..QuantumRange]. Choose
% from these types: CharPixel, DoublePixel, FloatPixel, IntegerPixel,
% LongPixel, QuantumPixel, or ShortPixel.
%
% o pixels: This array of values contain the pixel components as defined by
% map and type. You must preallocate this array where the expected
% length varies depending on the values of width, height, map, and type.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ConstituteImage(const size_t columns,const size_t rows,
const char *map,const StorageType storage,const void *pixels,
ExceptionInfo *exception)
{
Image
*image;
MagickBooleanType
status;
register ssize_t
i;
size_t
length;
/*
Allocate image structure.
*/
assert(map != (const char *) NULL);
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",map);
assert(pixels != (void *) NULL);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImage((ImageInfo *) NULL,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
length=strlen(map);
for (i=0; i < (ssize_t) length; i++)
{
switch (map[i])
{
case 'a':
case 'A':
case 'O':
case 'o':
{
image->alpha_trait=BlendPixelTrait;
break;
}
case 'C':
case 'c':
case 'm':
case 'M':
case 'Y':
case 'y':
case 'K':
case 'k':
{
image->colorspace=CMYKColorspace;
break;
}
case 'I':
case 'i':
{
image->colorspace=GRAYColorspace;
break;
}
default:
{
if (length == 1)
image->colorspace=GRAYColorspace;
break;
}
}
}
status=SetImageExtent(image,columns,rows,exception);
if (status == MagickFalse)
return(DestroyImageList(image));
status=ResetImagePixels(image,exception);
if (status == MagickFalse)
return(DestroyImageList(image));
status=ImportImagePixels(image,0,0,columns,rows,map,storage,pixels,exception);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P i n g I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PingImage() returns all the properties of an image or image sequence
% except for the pixels. It is much faster and consumes far less memory
% than ReadImage(). On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the PingImage method is:
%
% Image *PingImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Ping the image defined by the file or filename members of
% this structure.
%
% o exception: return any errors or warnings in this structure.
%
*/
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static size_t PingStream(const Image *magick_unused(image),
const void *magick_unused(pixels),const size_t columns)
{
magick_unreferenced(image);
magick_unreferenced(pixels);
return(columns);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
MagickExport Image *PingImage(const ImageInfo *image_info,
ExceptionInfo *exception)
{
Image
*image;
ImageInfo
*ping_info;
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
ping_info=CloneImageInfo(image_info);
ping_info->ping=MagickTrue;
image=ReadStream(ping_info,&PingStream,exception);
if (image != (Image *) NULL)
{
ResetTimer(&image->timer);
if (ping_info->verbose != MagickFalse)
(void) IdentifyImage(image,stdout,MagickFalse,exception);
}
ping_info=DestroyImageInfo(ping_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P i n g I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PingImages() pings one or more images and returns them as an image list.
%
% The format of the PingImage method is:
%
% Image *PingImages(ImageInfo *image_info,const char *filename,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PingImages(ImageInfo *image_info,const char *filename,
ExceptionInfo *exception)
{
char
ping_filename[MagickPathExtent];
Image
*image,
*images;
ImageInfo
*read_info;
/*
Ping image list from a file.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
(void) SetImageOption(image_info,"filename",filename);
(void) CopyMagickString(image_info->filename,filename,MagickPathExtent);
(void) InterpretImageFilename(image_info,(Image *) NULL,image_info->filename,
(int) image_info->scene,ping_filename,exception);
if (LocaleCompare(ping_filename,image_info->filename) != 0)
{
ExceptionInfo
*sans;
ssize_t
extent,
scene;
/*
Images of the form image-%d.png[1-5].
*/
read_info=CloneImageInfo(image_info);
sans=AcquireExceptionInfo();
(void) SetImageInfo(read_info,0,sans);
sans=DestroyExceptionInfo(sans);
if (read_info->number_scenes == 0)
{
read_info=DestroyImageInfo(read_info);
return(PingImage(image_info,exception));
}
(void) CopyMagickString(ping_filename,read_info->filename,
MagickPathExtent);
images=NewImageList();
extent=(ssize_t) (read_info->scene+read_info->number_scenes);
for (scene=(ssize_t) read_info->scene; scene < (ssize_t) extent; scene++)
{
(void) InterpretImageFilename(image_info,(Image *) NULL,ping_filename,
(int) scene,read_info->filename,exception);
image=PingImage(read_info,exception);
if (image == (Image *) NULL)
continue;
AppendImageToList(&images,image);
}
read_info=DestroyImageInfo(read_info);
return(images);
}
return(PingImage(image_info,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadImage() reads an image or image sequence from a file or file handle.
% The method returns a NULL if there is a memory shortage or if the image
% cannot be read. On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the ReadImage method is:
%
% Image *ReadImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Read the image defined by the file or filename members of
% this structure.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType IsCoderAuthorized(const char *coder,
const PolicyRights rights,ExceptionInfo *exception)
{
if (IsRightsAuthorized(CoderPolicyDomain,rights,coder) == MagickFalse)
{
errno=EPERM;
(void) ThrowMagickException(exception,GetMagickModule(),PolicyError,
"NotAuthorized","`%s'",coder);
return(MagickFalse);
}
return(MagickTrue);
}
MagickExport Image *ReadImage(const ImageInfo *image_info,
ExceptionInfo *exception)
{
char
filename[MagickPathExtent],
magick[MagickPathExtent],
magick_filename[MagickPathExtent];
const char
*value;
const DelegateInfo
*delegate_info;
const MagickInfo
*magick_info;
DecodeImageHandler
*decoder;
ExceptionInfo
*sans_exception;
GeometryInfo
geometry_info;
Image
*image,
*next;
ImageInfo
*read_info;
MagickBooleanType
status;
MagickStatusType
flags;
/*
Determine image type from filename prefix or suffix (e.g. image.jpg).
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image_info->filename != (char *) NULL);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
read_info=CloneImageInfo(image_info);
(void) CopyMagickString(magick_filename,read_info->filename,MagickPathExtent);
(void) SetImageInfo(read_info,0,exception);
(void) CopyMagickString(filename,read_info->filename,MagickPathExtent);
(void) CopyMagickString(magick,read_info->magick,MagickPathExtent);
/*
Call appropriate image reader based on image type.
*/
sans_exception=AcquireExceptionInfo();
magick_info=GetMagickInfo(read_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(read_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (magick_info != (const MagickInfo *) NULL)
{
if (GetMagickEndianSupport(magick_info) == MagickFalse)
read_info->endian=UndefinedEndian;
else
if ((image_info->endian == UndefinedEndian) &&
(GetMagickRawSupport(magick_info) != MagickFalse))
{
unsigned long
lsb_first;
lsb_first=1;
read_info->endian=(*(char *) &lsb_first) == 1 ? LSBEndian :
MSBEndian;
}
}
if ((magick_info != (const MagickInfo *) NULL) &&
(GetMagickDecoderSeekableStream(magick_info) != MagickFalse))
{
image=AcquireImage(read_info,exception);
(void) CopyMagickString(image->filename,read_info->filename,
MagickPathExtent);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
read_info=DestroyImageInfo(read_info);
image=DestroyImage(image);
return((Image *) NULL);
}
if (IsBlobSeekable(image) == MagickFalse)
{
/*
Coder requires a seekable stream.
*/
*read_info->filename='\0';
status=ImageToFile(image,read_info->filename,exception);
if (status == MagickFalse)
{
(void) CloseBlob(image);
read_info=DestroyImageInfo(read_info);
image=DestroyImage(image);
return((Image *) NULL);
}
read_info->temporary=MagickTrue;
}
(void) CloseBlob(image);
image=DestroyImage(image);
}
image=NewImageList();
decoder=GetImageDecoder(magick_info);
if (decoder == (DecodeImageHandler *) NULL)
{
delegate_info=GetDelegateInfo(read_info->magick,(char *) NULL,exception);
if (delegate_info == (const DelegateInfo *) NULL)
{
(void) SetImageInfo(read_info,0,exception);
(void) CopyMagickString(read_info->filename,filename,
MagickPathExtent);
magick_info=GetMagickInfo(read_info->magick,exception);
decoder=GetImageDecoder(magick_info);
}
}
if (decoder != (DecodeImageHandler *) NULL)
{
/*
Call appropriate image reader based on image type.
*/
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(read_info->magick,ReadPolicyRights,exception);
image=(Image *) NULL;
if (status != MagickFalse)
image=decoder(read_info,exception);
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
else
{
delegate_info=GetDelegateInfo(read_info->magick,(char *) NULL,exception);
if (delegate_info == (const DelegateInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoDecodeDelegateForThisImageFormat","`%s'",
read_info->magick);
if (read_info->temporary != MagickFalse)
(void) RelinquishUniqueFileResource(read_info->filename);
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
/*
Let our decoding delegate process the image.
*/
image=AcquireImage(read_info,exception);
if (image == (Image *) NULL)
{
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
(void) CopyMagickString(image->filename,read_info->filename,
MagickPathExtent);
*read_info->filename='\0';
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
LockSemaphoreInfo(delegate_info->semaphore);
status=InvokeDelegate(read_info,image,read_info->magick,(char *) NULL,
exception);
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
UnlockSemaphoreInfo(delegate_info->semaphore);
image=DestroyImageList(image);
read_info->temporary=MagickTrue;
if (status != MagickFalse)
(void) SetImageInfo(read_info,0,exception);
magick_info=GetMagickInfo(read_info->magick,exception);
decoder=GetImageDecoder(magick_info);
if (decoder == (DecodeImageHandler *) NULL)
{
if (IsPathAccessible(read_info->filename) != MagickFalse)
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoDecodeDelegateForThisImageFormat","`%s'",
read_info->magick);
else
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
read_info->filename);
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
/*
Call appropriate image reader based on image type.
*/
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(read_info->magick,ReadPolicyRights,exception);
image=(Image *) NULL;
if (status != MagickFalse)
image=(decoder)(read_info,exception);
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
if (read_info->temporary != MagickFalse)
{
(void) RelinquishUniqueFileResource(read_info->filename);
read_info->temporary=MagickFalse;
if (image != (Image *) NULL)
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
}
if (image == (Image *) NULL)
{
read_info=DestroyImageInfo(read_info);
return(image);
}
if (exception->severity >= ErrorException)
(void) LogMagickEvent(ExceptionEvent,GetMagickModule(),
"Coder (%s) generated an image despite an error (%d), "
"notify the developers",image->magick,exception->severity);
if (IsBlobTemporary(image) != MagickFalse)
(void) RelinquishUniqueFileResource(read_info->filename);
if ((IsSceneGeometry(read_info->scenes,MagickFalse) != MagickFalse) &&
(GetImageListLength(image) != 1))
{
Image
*clones;
clones=CloneImages(image,read_info->scenes,exception);
if (clones != (Image *) NULL)
{
image=DestroyImageList(image);
image=GetFirstImageInList(clones);
}
}
for (next=image; next != (Image *) NULL; next=GetNextImageInList(next))
{
char
magick_path[MagickPathExtent],
*property,
timestamp[MagickPathExtent];
const char
*option;
const StringInfo
*profile;
ssize_t
option_type;
next->taint=MagickFalse;
GetPathComponent(magick_filename,MagickPath,magick_path);
if (*magick_path == '\0' && *next->magick == '\0')
(void) CopyMagickString(next->magick,magick,MagickPathExtent);
(void) CopyMagickString(next->magick_filename,magick_filename,
MagickPathExtent);
if (IsBlobTemporary(image) != MagickFalse)
(void) CopyMagickString(next->filename,filename,MagickPathExtent);
if (next->magick_columns == 0)
next->magick_columns=next->columns;
if (next->magick_rows == 0)
next->magick_rows=next->rows;
value=GetImageProperty(next,"exif:Orientation",exception);
if (value == (char *) NULL)
value=GetImageProperty(next,"tiff:Orientation",exception);
if (value != (char *) NULL)
{
next->orientation=(OrientationType) StringToLong(value);
(void) DeleteImageProperty(next,"tiff:Orientation");
(void) DeleteImageProperty(next,"exif:Orientation");
}
value=GetImageProperty(next,"exif:XResolution",exception);
if (value != (char *) NULL)
{
geometry_info.rho=next->resolution.x;
geometry_info.sigma=1.0;
flags=ParseGeometry(value,&geometry_info);
if (geometry_info.sigma != 0)
next->resolution.x=geometry_info.rho/geometry_info.sigma;
if (strchr(value,',') != (char *) NULL)
next->resolution.x=geometry_info.rho+geometry_info.sigma/1000.0;
(void) DeleteImageProperty(next,"exif:XResolution");
}
value=GetImageProperty(next,"exif:YResolution",exception);
if (value != (char *) NULL)
{
geometry_info.rho=next->resolution.y;
geometry_info.sigma=1.0;
flags=ParseGeometry(value,&geometry_info);
if (geometry_info.sigma != 0)
next->resolution.y=geometry_info.rho/geometry_info.sigma;
if (strchr(value,',') != (char *) NULL)
next->resolution.y=geometry_info.rho+geometry_info.sigma/1000.0;
(void) DeleteImageProperty(next,"exif:YResolution");
}
value=GetImageProperty(next,"exif:ResolutionUnit",exception);
if (value == (char *) NULL)
value=GetImageProperty(next,"tiff:ResolutionUnit",exception);
if (value != (char *) NULL)
{
option_type=ParseCommandOption(MagickResolutionOptions,MagickFalse,
value);
if (option_type >= 0)
next->units=(ResolutionType) option_type;
(void) DeleteImageProperty(next,"exif:ResolutionUnit");
(void) DeleteImageProperty(next,"tiff:ResolutionUnit");
}
if (next->page.width == 0)
next->page.width=next->columns;
if (next->page.height == 0)
next->page.height=next->rows;
option=GetImageOption(read_info,"caption");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"caption",property,exception);
property=DestroyString(property);
}
option=GetImageOption(read_info,"comment");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"comment",property,exception);
property=DestroyString(property);
}
option=GetImageOption(read_info,"label");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"label",property,exception);
property=DestroyString(property);
}
if (LocaleCompare(next->magick,"TEXT") == 0)
(void) ParseAbsoluteGeometry("0x0+0+0",&next->page);
if ((read_info->extract != (char *) NULL) &&
(read_info->stream == (StreamHandler) NULL))
{
RectangleInfo
geometry;
SetGeometry(next,&geometry);
flags=ParseAbsoluteGeometry(read_info->extract,&geometry);
if ((next->columns != geometry.width) ||
(next->rows != geometry.height))
{
if (((flags & XValue) != 0) || ((flags & YValue) != 0))
{
Image
*crop_image;
crop_image=CropImage(next,&geometry,exception);
if (crop_image != (Image *) NULL)
ReplaceImageInList(&next,crop_image);
}
else
if (((flags & WidthValue) != 0) || ((flags & HeightValue) != 0))
{
Image
*size_image;
flags=ParseRegionGeometry(next,read_info->extract,&geometry,
exception);
size_image=ResizeImage(next,geometry.width,geometry.height,
next->filter,exception);
if (size_image != (Image *) NULL)
ReplaceImageInList(&next,size_image);
}
}
}
profile=GetImageProfile(next,"icc");
if (profile == (const StringInfo *) NULL)
profile=GetImageProfile(next,"icm");
profile=GetImageProfile(next,"iptc");
if (profile == (const StringInfo *) NULL)
profile=GetImageProfile(next,"8bim");
(void) FormatMagickTime((time_t) GetBlobProperties(next)->st_mtime,
MagickPathExtent,timestamp);
(void) SetImageProperty(next,"date:modify",timestamp,exception);
(void) FormatMagickTime((time_t) GetBlobProperties(next)->st_ctime,
MagickPathExtent,timestamp);
(void) SetImageProperty(next,"date:create",timestamp,exception);
option=GetImageOption(image_info,"delay");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
if ((flags & GreaterValue) != 0)
{
if (next->delay > (size_t) floor(geometry_info.rho+0.5))
next->delay=(size_t) floor(geometry_info.rho+0.5);
}
else
if ((flags & LessValue) != 0)
{
if (next->delay < (size_t) floor(geometry_info.rho+0.5))
next->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
else
next->delay=(size_t) floor(geometry_info.rho+0.5);
if ((flags & SigmaValue) != 0)
next->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
option=GetImageOption(image_info,"dispose");
if (option != (const char *) NULL)
{
option_type=ParseCommandOption(MagickDisposeOptions,MagickFalse,
option);
if (option_type >= 0)
next->dispose=(DisposeType) option_type;
}
if (read_info->verbose != MagickFalse)
(void) IdentifyImage(next,stderr,MagickFalse,exception);
image=next;
}
read_info=DestroyImageInfo(read_info);
return(GetFirstImageInList(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadImages() reads one or more images and returns them as an image list.
%
% The format of the ReadImage method is:
%
% Image *ReadImages(ImageInfo *image_info,const char *filename,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ReadImages(ImageInfo *image_info,const char *filename,
ExceptionInfo *exception)
{
char
read_filename[MagickPathExtent];
Image
*image,
*images;
ImageInfo
*read_info;
/*
Read image list from a file.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
read_info=CloneImageInfo(image_info);
*read_info->magick='\0';
(void) SetImageOption(read_info,"filename",filename);
(void) CopyMagickString(read_info->filename,filename,MagickPathExtent);
(void) InterpretImageFilename(read_info,(Image *) NULL,filename,
(int) read_info->scene,read_filename,exception);
if (LocaleCompare(read_filename,read_info->filename) != 0)
{
ExceptionInfo
*sans;
ssize_t
extent,
scene;
/*
Images of the form image-%d.png[1-5].
*/
sans=AcquireExceptionInfo();
(void) SetImageInfo(read_info,0,sans);
sans=DestroyExceptionInfo(sans);
if (read_info->number_scenes != 0)
{
(void) CopyMagickString(read_filename,read_info->filename,
MagickPathExtent);
images=NewImageList();
extent=(ssize_t) (read_info->scene+read_info->number_scenes);
scene=(ssize_t) read_info->scene;
for ( ; scene < (ssize_t) extent; scene++)
{
(void) InterpretImageFilename(image_info,(Image *) NULL,
read_filename,(int) scene,read_info->filename,exception);
image=ReadImage(read_info,exception);
if (image == (Image *) NULL)
continue;
AppendImageToList(&images,image);
}
read_info=DestroyImageInfo(read_info);
return(images);
}
}
(void) CopyMagickString(read_info->filename,filename,MagickPathExtent);
image=ReadImage(read_info,exception);
read_info=DestroyImageInfo(read_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e a d I n l i n e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadInlineImage() reads a Base64-encoded inline image or image sequence.
% The method returns a NULL if there is a memory shortage or if the image
% cannot be read. On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the ReadInlineImage method is:
%
% Image *ReadInlineImage(const ImageInfo *image_info,const char *content,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o content: the image encoded in Base64.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ReadInlineImage(const ImageInfo *image_info,
const char *content,ExceptionInfo *exception)
{
Image
*image;
ImageInfo
*read_info;
unsigned char
*blob;
size_t
length;
register const char
*p;
/*
Skip over header (e.g. data:image/gif;base64,).
*/
image=NewImageList();
for (p=content; (*p != ',') && (*p != '\0'); p++) ;
if (*p == '\0')
ThrowReaderException(CorruptImageError,"CorruptImage");
p++;
length=0;
blob=Base64Decode(p,&length);
if (length == 0)
{
blob=(unsigned char *) RelinquishMagickMemory(blob);
ThrowReaderException(CorruptImageError,"CorruptImage");
}
read_info=CloneImageInfo(image_info);
(void) SetImageInfoProgressMonitor(read_info,(MagickProgressMonitor) NULL,
(void *) NULL);
*read_info->filename='\0';
*read_info->magick='\0';
image=BlobToImage(read_info,blob,length,exception);
blob=(unsigned char *) RelinquishMagickMemory(blob);
read_info=DestroyImageInfo(read_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WriteImage() writes an image or an image sequence to a file or file handle.
% If writing to a file is on disk, the name is defined by the filename member
% of the image structure. WriteImage() returns MagickFalse is there is a
% memory shortage or if the image cannot be written. Check the exception
% member of image to determine the cause for any failure.
%
% The format of the WriteImage method is:
%
% MagickBooleanType WriteImage(const ImageInfo *image_info,Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WriteImage(const ImageInfo *image_info,
Image *image,ExceptionInfo *exception)
{
char
filename[MagickPathExtent];
const char
*option;
const DelegateInfo
*delegate_info;
const MagickInfo
*magick_info;
EncodeImageHandler
*encoder;
ExceptionInfo
*sans_exception;
ImageInfo
*write_info;
MagickBooleanType
status,
temporary;
/*
Determine image type from filename prefix or suffix (e.g. image.jpg).
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
sans_exception=AcquireExceptionInfo();
write_info=CloneImageInfo(image_info);
(void) CopyMagickString(write_info->filename,image->filename,
MagickPathExtent);
(void) SetImageInfo(write_info,1,sans_exception);
if (*write_info->magick == '\0')
(void) CopyMagickString(write_info->magick,image->magick,MagickPathExtent);
(void) CopyMagickString(filename,image->filename,MagickPathExtent);
(void) CopyMagickString(image->filename,write_info->filename,
MagickPathExtent);
/*
Call appropriate image writer based on image type.
*/
magick_info=GetMagickInfo(write_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(write_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (magick_info != (const MagickInfo *) NULL)
{
if (GetMagickEndianSupport(magick_info) == MagickFalse)
image->endian=UndefinedEndian;
else
if ((image_info->endian == UndefinedEndian) &&
(GetMagickRawSupport(magick_info) != MagickFalse))
{
unsigned long
lsb_first;
lsb_first=1;
image->endian=(*(char *) &lsb_first) == 1 ? LSBEndian : MSBEndian;
}
}
(void) SyncImageProfiles(image);
DisassociateImageStream(image);
option=GetImageOption(image_info,"delegate:bimodal");
if ((IsStringTrue(option) != MagickFalse) &&
(write_info->page == (char *) NULL) &&
(GetPreviousImageInList(image) == (Image *) NULL) &&
(GetNextImageInList(image) == (Image *) NULL) &&
(IsTaintImage(image) == MagickFalse) )
{
delegate_info=GetDelegateInfo(image->magick,write_info->magick,exception);
if ((delegate_info != (const DelegateInfo *) NULL) &&
(GetDelegateMode(delegate_info) == 0) &&
(IsPathAccessible(image->magick_filename) != MagickFalse))
{
/*
Process image with bi-modal delegate.
*/
(void) CopyMagickString(image->filename,image->magick_filename,
MagickPathExtent);
status=InvokeDelegate(write_info,image,image->magick,
write_info->magick,exception);
write_info=DestroyImageInfo(write_info);
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
return(status);
}
}
status=MagickFalse;
temporary=MagickFalse;
if ((magick_info != (const MagickInfo *) NULL) &&
(GetMagickEncoderSeekableStream(magick_info) != MagickFalse))
{
char
image_filename[MagickPathExtent];
(void) CopyMagickString(image_filename,image->filename,MagickPathExtent);
status=OpenBlob(image_info,image,WriteBinaryBlobMode,exception);
(void) CopyMagickString(image->filename, image_filename,MagickPathExtent);
if (status != MagickFalse)
{
if (IsBlobSeekable(image) == MagickFalse)
{
/*
A seekable stream is required by the encoder.
*/
write_info->adjoin=MagickTrue;
(void) CopyMagickString(write_info->filename,image->filename,
MagickPathExtent);
(void) AcquireUniqueFilename(image->filename);
temporary=MagickTrue;
}
(void) CloseBlob(image);
}
}
encoder=GetImageEncoder(magick_info);
if (encoder != (EncodeImageHandler *) NULL)
{
/*
Call appropriate image writer based on image type.
*/
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(write_info->magick,WritePolicyRights,exception);
if (status != MagickFalse)
status=encoder(write_info,image,exception);
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
else
{
delegate_info=GetDelegateInfo((char *) NULL,write_info->magick,exception);
if (delegate_info != (DelegateInfo *) NULL)
{
/*
Process the image with delegate.
*/
*write_info->filename='\0';
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
LockSemaphoreInfo(delegate_info->semaphore);
status=InvokeDelegate(write_info,image,(char *) NULL,
write_info->magick,exception);
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
UnlockSemaphoreInfo(delegate_info->semaphore);
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
}
else
{
sans_exception=AcquireExceptionInfo();
magick_info=GetMagickInfo(write_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(write_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if ((write_info->affirm == MagickFalse) &&
(magick_info == (const MagickInfo *) NULL))
{
(void) CopyMagickString(write_info->magick,image->magick,
MagickPathExtent);
magick_info=GetMagickInfo(write_info->magick,exception);
}
encoder=GetImageEncoder(magick_info);
if (encoder == (EncodeImageHandler *) NULL)
{
char
extension[MagickPathExtent];
GetPathComponent(image->filename,ExtensionPath,extension);
if (*extension != '\0')
magick_info=GetMagickInfo(extension,exception);
else
magick_info=GetMagickInfo(image->magick,exception);
(void) CopyMagickString(image->filename,filename,
MagickPathExtent);
encoder=GetImageEncoder(magick_info);
}
if (encoder == (EncodeImageHandler *) NULL)
{
magick_info=GetMagickInfo(image->magick,exception);
encoder=GetImageEncoder(magick_info);
if (encoder == (EncodeImageHandler *) NULL)
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoEncodeDelegateForThisImageFormat",
"`%s'",write_info->magick);
}
if (encoder != (EncodeImageHandler *) NULL)
{
/*
Call appropriate image writer based on image type.
*/
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(write_info->magick,WritePolicyRights,
exception);
if (status != MagickFalse)
status=encoder(write_info,image,exception);
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
}
}
if (temporary != MagickFalse)
{
/*
Copy temporary image file to permanent.
*/
status=OpenBlob(write_info,image,ReadBinaryBlobMode,exception);
if (status != MagickFalse)
{
(void) RelinquishUniqueFileResource(write_info->filename);
status=ImageToFile(image,write_info->filename,exception);
}
(void) CloseBlob(image);
(void) RelinquishUniqueFileResource(image->filename);
(void) CopyMagickString(image->filename,write_info->filename,
MagickPathExtent);
}
if ((LocaleCompare(write_info->magick,"info") != 0) &&
(write_info->verbose != MagickFalse))
(void) IdentifyImage(image,stdout,MagickFalse,exception);
write_info=DestroyImageInfo(write_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WriteImages() writes an image sequence into one or more files. While
% WriteImage() can write an image sequence, it is limited to writing
% the sequence into a single file using a format which supports multiple
% frames. WriteImages(), however, does not have this limitation, instead it
% generates multiple output files if necessary (or when requested). When
% ImageInfo's adjoin flag is set to MagickFalse, the file name is expected
% to include a printf-style formatting string for the frame number (e.g.
% "image%02d.png").
%
% The format of the WriteImages method is:
%
% MagickBooleanType WriteImages(const ImageInfo *image_info,Image *images,
% const char *filename,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o images: the image list.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WriteImages(const ImageInfo *image_info,
Image *images,const char *filename,ExceptionInfo *exception)
{
#define WriteImageTag "Write/Image"
ExceptionInfo
*sans_exception;
ImageInfo
*write_info;
MagickBooleanType
proceed;
MagickOffsetType
progress;
MagickProgressMonitor
progress_monitor;
MagickSizeType
number_images;
MagickStatusType
status;
register Image
*p;
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
write_info=CloneImageInfo(image_info);
*write_info->magick='\0';
images=GetFirstImageInList(images);
if (filename != (const char *) NULL)
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
(void) CopyMagickString(p->filename,filename,MagickPathExtent);
(void) CopyMagickString(write_info->filename,images->filename,
MagickPathExtent);
sans_exception=AcquireExceptionInfo();
(void) SetImageInfo(write_info,(unsigned int) GetImageListLength(images),
sans_exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (*write_info->magick == '\0')
(void) CopyMagickString(write_info->magick,images->magick,MagickPathExtent);
p=images;
for ( ; GetNextImageInList(p) != (Image *) NULL; p=GetNextImageInList(p))
{
register Image
*next;
next=GetNextImageInList(p);
if (next == (Image *) NULL)
break;
if (p->scene >= next->scene)
{
register ssize_t
i;
/*
Generate consistent scene numbers.
*/
i=(ssize_t) images->scene;
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
p->scene=(size_t) i++;
break;
}
}
/*
Write images.
*/
status=MagickTrue;
progress_monitor=(MagickProgressMonitor) NULL;
progress=0;
number_images=GetImageListLength(images);
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
{
if (number_images != 1)
progress_monitor=SetImageProgressMonitor(p,(MagickProgressMonitor) NULL,
p->client_data);
status&=WriteImage(write_info,p,exception);
if (number_images != 1)
(void) SetImageProgressMonitor(p,progress_monitor,p->client_data);
if (write_info->adjoin != MagickFalse)
break;
if (number_images != 1)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(p,WriteImageTag,progress,number_images);
if (proceed == MagickFalse)
break;
}
}
write_info=DestroyImageInfo(write_info);
return(status != 0 ? MagickTrue : MagickFalse);
}
|
THTensorConv.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/THTensorConv.c"
#else
/*
2D Input, 2D kernel : convolve given image with the given kernel.
*/
void THTensor_(validXCorr2Dptr)(real *r_,
real alpha,
real *t_, int64_t ir, int64_t ic,
real *k_, int64_t kr, int64_t kc,
int64_t sr, int64_t sc)
{
int64_t or = (ir - kr) / sr + 1;
int64_t oc = (ic - kc) / sc + 1;
int64_t xx, yy, kx, ky;
if ((sc != 1) || (oc < 4)) {
/* regular convolution */
for(yy = 0; yy < or; yy++) {
for(xx = 0; xx < oc; xx++) {
/* Dot product in two dimensions... (between input image and the mask) */
real *pi_ = t_ + yy*sr*ic + xx*sc;
real *pw_ = k_;
real sum = 0;
for(ky = 0; ky < kr; ky++) {
for(kx = 0; kx < kc; kx++) {
sum += pi_[kx]*pw_[kx];
}
pi_ += ic; /* next input line */
pw_ += kc; /* next mask line */
}
/* Update output */
*r_++ += alpha*sum;
}
}
} else {
/* SSE-based convolution */
for(yy = 0; yy < or; yy++) {
real *pi_ = t_ + yy*sr*ic;
real *pw_ = k_;
for (ky = 0; ky < kr; ky++) {
real *pis_ = pi_;
for (kx = 0; kx < kc; kx++) {
THVector_(cadd)(r_, r_, pis_, alpha*pw_[kx], oc);
pis_++;
}
pi_ += ic; /* next input line */
pw_ += kc; /* next mask line */
}
r_ += oc;
}
}
}
/*
2D Input, 2D kernel : convolve given image with the given kernel.
*/
void THTensor_(validConv2Dptr)(real *r_,
real alpha,
real *t_, int64_t ir, int64_t ic,
real *k_, int64_t kr, int64_t kc,
int64_t sr, int64_t sc)
{
int64_t or = (ir - kr) / sr + 1;
int64_t oc = (ic - kc) / sc + 1;
int64_t xx, yy, kx, ky;
if ((sc != 1) || (oc < 4)) {
/* regular convolution */
for(yy = 0; yy < or; yy++) {
for(xx = 0; xx < oc; xx++) {
/* Dot product in two dimensions... (between input image and the mask) */
real *pi_ = t_ + yy*sr*ic + xx*sc;
real *pw_ = k_ + kr*kc - 1;
real sum = 0;
for(ky = 0; ky < kr; ky++) {
for(kx = 0; kx < kc; kx++) {
sum += pi_[kx]*pw_[-kx];
}
pi_ += ic; /* next input line */
pw_ -= kc; /* next mask line */
}
/* Update output */
*r_++ += alpha*sum;
}
}
} else {
/* SSE-based convolution */
for(yy = 0; yy < or; yy++) {
real *pw_ = k_ + kr*kc - 1;
real *pi_ = t_ + yy*sr*ic;
for (ky = 0; ky < kr; ky++) {
real *pis_ = pi_;
for (kx = 0; kx < kc; kx++) {
THVector_(cadd)(r_, r_, pis_, alpha*pw_[-kx], oc);
pis_++;
}
pi_ += ic; /* next input line */
pw_ -= kc; /* next mask line */
}
r_ += oc;
}
}
}
/*
2D Input, 2D kernel : convolve given image with the given kernel, full convolution.
*/
void THTensor_(fullConv2Dptr)(real *r_,
real alpha,
real *t_, int64_t ir, int64_t ic,
real *k_, int64_t kr, int64_t kc,
int64_t sr, int64_t sc)
{
int64_t oc = (ic - 1) * sc + kc;
int64_t xx, yy, kx, ky;
if ((sc != 1) || (ic < 4)) {
/* regular convolution */
for(yy = 0; yy < ir; yy++) {
for(xx = 0; xx < ic; xx++) {
/* Outer product in two dimensions... (between input image and the mask) */
real *po_ = r_ + yy*sr*oc + xx*sc;
real *pw_ = k_;
for(ky = 0; ky < kr; ky++)
{
real z = *t_ * alpha;
for(kx = 0; kx < kc; kx++) {
po_[kx] += z * pw_[kx];
}
po_ += oc; /* next input line */
pw_ += kc; /* next mask line */
}
t_++;
}
}
} else {
/* SSE-based convolution */
for(yy = 0; yy < ir; yy++) {
real *po_ = r_ + yy*sr*oc;
real *pw_ = k_;
for (ky = 0; ky < kr; ky++) {
real *pos_ = po_;
for (kx = 0; kx < kc; kx++) {
THVector_(cadd)(pos_, pos_, t_, alpha*pw_[kx], ic);
pos_++;
}
po_ += oc; /* next input line */
pw_ += kc; /* next mask line */
}
t_ += ic;
}
}
}
/*
2D Input, 2D kernel : convolve given image with the given kernel, full convolution.
*/
void THTensor_(fullXCorr2Dptr)(real *r_,
real alpha,
real *t_, int64_t ir, int64_t ic,
real *k_, int64_t kr, int64_t kc,
int64_t sr, int64_t sc)
{
int64_t oc = (ic - 1) * sc + kc;
int64_t xx, yy, kx, ky;
if ((sc != 1) || (ic < 4)) {
/* regular convolution */
for(yy = 0; yy < ir; yy++) {
for(xx = 0; xx < ic; xx++) {
/* Outer product in two dimensions... (between input image and the mask) */
real *po_ = r_ + yy*sr*oc + xx*sc;
real *pw_ = k_ + kr*kc -1;
int64_t kx, ky;
for(ky = 0; ky < kr; ky++)
{
real z = *t_ * alpha;
for(kx = 0; kx < kc; kx++) {
po_[kx] += z * pw_[-kx];
}
po_ += oc; /* next input line */
pw_ -= kc; /* next mask line */
}
t_++;
}
}
} else {
/* SSE-based convolution */
for(yy = 0; yy < ir; yy++) {
real *po_ = r_ + yy*sr*oc;
real *pw_ = k_ + kr*kc -1;
for (ky = 0; ky < kr; ky++) {
real *pos_ = po_;
for (kx = 0; kx < kc; kx++) {
THVector_(cadd)(pos_, pos_, t_, pw_[-kx]*alpha, ic);
pos_++;
}
po_ += oc; /* next input line */
pw_ -= kc; /* next mask line */
}
t_ += ic;
}
}
}
/*
2D Input, 2D kernel : convolve given image with the given kernel, valid convolution.
for sr,sc=1 this is equivalent to validXCorr2Dptr, but otherwise it is useful for
calculating derivatives wrt a kernel that is applied with stride sr,sc != 1
*/
void THTensor_(validXCorr2DRevptr)(real *r_,
real alpha,
real *t_, int64_t ir, int64_t ic,
real *k_, int64_t kr, int64_t kc,
int64_t sr, int64_t sc)
{
int64_t or = ir - (kr - 1) * sr;
int64_t oc = ic - (kc - 1) * sc;
int64_t xx, yy, kx, ky;
if ((sc != 1) || (kc < 4)) {
/* regular convolution */
for(yy = 0; yy < kr; yy++) {
for(xx = 0; xx < kc; xx++) {
real *po_ = r_;
real *pi_ = t_ + yy*sr*ic + xx*sc;
real z = *k_++ * alpha;
for(ky = 0; ky < or; ky++) {
for(kx = 0; kx < oc; kx++)
po_[kx] += z * pi_[kx];
pi_ += ic;
po_ += oc;
}
}
}
} else {
/* SSE-based convolution */
for(yy = 0; yy < kr; yy++) {
for(xx = 0; xx < kc; xx++) {
real *po_ = r_;
real *pi_ = t_ + yy*sr*ic + xx*sc;
real z = *k_++ * alpha;
for(ky = 0; ky < or; ky++) {
THVector_(cadd)(po_, po_, pi_, z, oc);
pi_ += ic;
po_ += oc;
}
}
}
}
}
/*
3D Input, 3D kernel : convolve given volume with the given kernel.
*/
void THTensor_(validXCorr3Dptr)(real *r_,
real alpha,
real *t_, int64_t it, int64_t ir, int64_t ic,
real *k_, int64_t kt, int64_t kr, int64_t kc,
int64_t st, int64_t sr, int64_t sc)
{
int64_t ot = (it - kt) / st + 1;
int64_t or = (ir - kr) / sr + 1;
int64_t oc = (ic - kc) / sc + 1;
int64_t zz, xx, yy;
for (zz = 0; zz < ot; zz++)
{
for(yy = 0; yy < or; yy++)
{
for(xx = 0; xx < oc; xx++)
{
/* Dot product in two dimensions... (between input image and the mask) */
real *pi_ = t_ + zz*st*ir*ic + yy*sr*ic + xx*sc;
real *pw_ = k_;
real sum = 0;
int64_t kz, kx, ky;
for(kz = 0; kz < kt; kz++)
{
for(ky = 0; ky < kr; ky++)
{
for(kx = 0; kx < kc; kx++) {
sum += pi_[kx]*pw_[kx];
}
pi_ += ic; /* next input line */
pw_ += kc; /* next mask line */
}
pi_ += (ir-kr)*ic; /* next input slice */
}
/* Update output */
*r_++ += sum*alpha;
}
}
}
}
/*
3D Input, 3D kernel : convolve given volume with the given kernel.
*/
void THTensor_(validConv3Dptr)(real *r_,
real alpha,
real *t_, int64_t it, int64_t ir, int64_t ic,
real *k_, int64_t kt, int64_t kr, int64_t kc,
int64_t st, int64_t sr, int64_t sc)
{
int64_t ot = (it - kt) / st + 1;
int64_t or = (ir - kr) / sr + 1;
int64_t oc = (ic - kc) / sc + 1;
int64_t zz, xx, yy;
for(zz = 0; zz < ot; zz++)
{
for(yy = 0; yy < or; yy++)
{
for(xx = 0; xx < oc; xx++)
{
/* Dot product in two dimensions... (between input image and the mask) */
real *pi_ = t_ + zz*st*ir*ic + yy*sr*ic + xx*sc;
real *pw_ = k_ + kt*kr*kc - 1;
real sum = 0;
int64_t kz, kx, ky;
for(kz = 0; kz < kt; kz++)
{
for(ky = 0; ky < kr; ky++)
{
for(kx = 0; kx < kc; kx++) {
sum += pi_[kx]*pw_[-kx];
}
pi_ += ic; /* next input line */
pw_ -= kc; /* next mask line */
}
pi_ += (ir-kr)*ic; /* next input slice */
}
/* Update output */
*r_++ += alpha*sum;
}
}
}
}
/*
3D Input, 3D kernel : convolve given volume with the given kernel, full convolution.
*/
void THTensor_(fullConv3Dptr)(real *r_,
real alpha,
real *t_, int64_t it, int64_t ir, int64_t ic,
real *k_, int64_t kt, int64_t kr, int64_t kc,
int64_t st, int64_t sr, int64_t sc)
{
int64_t or = (ir - 1) * sr + kr;
int64_t oc = (ic - 1) * sc + kc;
int64_t zz, xx, yy;
for(zz = 0; zz < it; zz++)
{
for(yy = 0; yy < ir; yy++)
{
for(xx = 0; xx < ic; xx++)
{
/* Outer product in two dimensions... (between input image and the mask) */
real *po_ = r_ + zz*st*or*oc + yy*sr*oc + xx*sc;
real *pw_ = k_;
int64_t kz, kx, ky;
/* printf("Output Plane : %ld,%ld,%ld, input val=%g\n",zz,yy,xx,*t_); */
for(kz = 0; kz < kt; kz++)
{
for(ky = 0; ky < kr; ky++)
{
real z = *t_ * alpha;
for(kx = 0; kx < kc; kx++) {
/* printf("o=%g,k=%g," , po_[kx],pw_[kx]); */
po_[kx] += z * pw_[kx];
/* printf("o=%g " , po_[kx]); */
}
/* printf("\n"); */
po_ += oc; /* next input line */
pw_ += kc; /* next mask line */
}
po_ += (or-kr)*oc; /* next output slice */
/* printf("\n"); */
}
t_++;
}
}
}
}
/*
3D Input, 3D kernel : convolve given volume with the given kernel, full convolution.
*/
void THTensor_(fullXCorr3Dptr)(real *r_,
real alpha,
real *t_, int64_t it, int64_t ir, int64_t ic,
real *k_, int64_t kt, int64_t kr, int64_t kc,
int64_t st, int64_t sr, int64_t sc)
{
int64_t or = (ir - 1) * sr + kr;
int64_t oc = (ic - 1) * sc + kc;
int64_t zz, xx, yy;
for(zz = 0; zz < it; zz++)
{
for(yy = 0; yy < ir; yy++)
{
for(xx = 0; xx < ic; xx++)
{
/* Outer product in two dimensions... (between input image and the mask) */
real *po_ = r_ + zz*st*or*oc + yy*sr*oc + xx*sc;
real *pw_ = k_ + kt*kr*kc -1;
int64_t kz, kx, ky;
for(kz = 0; kz < kt; kz++)
{
for(ky = 0; ky < kr; ky++)
{
real z = *t_ * alpha;
for(kx = 0; kx < kc; kx++) {
po_[kx] += z * pw_[-kx];
}
po_ += oc; /* next input line */
pw_ -= kc; /* next mask line */
}
po_ += (or-kr)*oc; /* next output slice */
}
t_++;
}
}
}
}
/*
3D Input, 3D kernel : convolve given image with the given kernel, valid convolution.
for sr,sc=1 this is equivalent to validXCorr3Dptr, but otherwise it is useful for
calculating derivatives wrt a kernel that is applied with stride sr,sc != 1
*/
void THTensor_(validXCorr3DRevptr)(real *r_,
real alpha,
real *t_, int64_t it, int64_t ir, int64_t ic,
real *k_, int64_t kt, int64_t kr, int64_t kc,
int64_t st, int64_t sr, int64_t sc)
{
int64_t ot = it - (kt - 1) * st;
int64_t or = ir - (kr - 1) * sr;
int64_t oc = ic - (kc - 1) * sc;
int64_t zz, xx, yy;
for(zz = 0; zz < kt; zz++)
{
for(yy = 0; yy < kr; yy++)
{
for(xx = 0; xx < kc; xx++)
{
real *po_ = r_;
real *pi_ = t_ + zz*st*ir*ic + yy*sr*ic + xx*sc;
real z = *k_++ * alpha;
int64_t kz, kx, ky;
for(kz = 0; kz < ot; kz++)
{
for(ky = 0; ky < or; ky++)
{
for(kx = 0; kx < oc; kx++)
po_[kx] += z * pi_[kx];
pi_ += ic;
po_ += oc;
}
pi_ += (ir-or)*ic; /* next input slice */
}
}
}
}
}
void THTensor_(conv2d)(real* output_data,
real alpha,
real* ptr_input, int64_t nInputRows, int64_t nInputCols,
real* ptr_weight, int64_t nKernelRows, int64_t nKernelCols,
int64_t srow, int64_t scol,
const char *vf, const char *xc)
{
THArgCheck(*vf == 'V' || *vf == 'F', 7, "type of convolution can be 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 7, "type of convolution can be 'X' or 'C'");
if (*vf == 'F')
if (*xc == 'X')
THTensor_(fullXCorr2Dptr)(output_data,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(fullConv2Dptr)(output_data,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
if (*xc == 'X')
THTensor_(validXCorr2Dptr)(output_data,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(validConv2Dptr)(output_data,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
}
void THTensor_(conv3d)(real* output_data,
real alpha,
real* ptr_input, int64_t nInputDepth, int64_t nInputRows, int64_t nInputCols,
real* ptr_weight, int64_t nKernelDepth, int64_t nKernelRows, int64_t nKernelCols,
int64_t sdepth, int64_t srow, int64_t scol,
const char *vf, const char *xc)
{
THArgCheck(*vf == 'V' || *vf == 'F', 7, "type of convolution can be 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 7, "type of convolution can be 'X' or 'C'");
if (*vf == 'F')
if (*xc == 'X')
THTensor_(fullXCorr3Dptr)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol);
else
THTensor_(fullConv3Dptr)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol);
else
if (*xc == 'X')
THTensor_(validXCorr3Dptr)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol);
else
THTensor_(validConv3Dptr)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol);
}
int64_t THTensor_(convsize)(int64_t x, int64_t k, int64_t s, const char* vf)
{
THArgCheck(*vf == 'V' || *vf == 'F', 1, "type of convolution can be 'V' or 'F'");
if (*vf == 'V')
return (x-k)/s + 1;
else
return (x-1)*s + k;
}
/*
3D input, 3D kernel, 4D output
like rank1 update
A <- xx' + beta*A
for sr,sc=1 this is equivalent to conv2Dger, but otherwise it is useful for
calculating derivatives wrt a kernel that is applied with stride sr,sc != 1
*/
void THTensor_(conv2DRevger)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, int64_t srow, int64_t scol)
{
int64_t nInputPlane, nInputRows, nInputCols;
int64_t nKernelPlane, nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k;
THArgCheck(t_->nDimension == 3 , 3, "input: 3D Tensor expected");
THArgCheck(k_->nDimension == 3 , 4, "kernel: 3D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
nInputPlane = input->size[0];
istride0 = input->stride[0];
nInputRows = input->size[1];
nInputCols = input->size[2];
kstride0 = kernel->stride[0];
nKernelPlane = kernel->size[0];
nKernelRows = kernel->size[1];
nKernelCols = kernel->size[2];
nOutputPlane = nInputPlane * kernel->size[0];
THArgCheck(nInputRows >= nKernelRows && nInputCols >= nKernelCols , 2, "covn2DRevger : Input image is smaller than kernel");
nOutputRows = nInputRows - (nKernelRows - 1) * srow;
nOutputCols = nInputCols - (nKernelCols - 1) * scol;
nelem = THTensor_(nElement)(r_);
THTensor_(resize4d)(r_,nKernelPlane, nInputPlane, nOutputRows, nOutputCols);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
/*THTensor_(zero)(r_);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]*r_->size[1]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] = 0.0;
}
}
else if (beta != 1)
{
/*THTensor_(mul)(r_, beta);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]*r_->size[1]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] *= beta;
}
}
#pragma omp parallel for private(k)
for(k = 0; k < nKernelPlane; k++)
{
int64_t i;
/* get kernel */
real *ptr_weight = weight_data+k*kstride0;
for(i = 0; i < nInputPlane; i++)
{
/* get output */
real *ptr_output = output_data + k*nInputPlane*nOutputCols*nOutputRows + i*nOutputCols*nOutputRows;
/* get input */
real *ptr_input = input_data+i*istride0;
/* do image, kernel convolution */
THTensor_(validXCorr2DRevptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
/* Next output plane */
/* output_data += nOutputCols*nOutputRows; */
}
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
3D input, 3D kernel, 4D output
like rank1 update
A <- xx' + beta*A
for sr,sc=1 this is equivalent to conv2Dger, but otherwise it is useful for
calculating derivatives wrt a kernel that is applied with stride sr,sc != 1
*/
void THTensor_(conv2DRevgerm)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, int64_t srow, int64_t scol)
{
int64_t nbatch, nInputPlane, nInputRows, nInputCols;
int64_t nKernelPlane, nKernelRows, nKernelCols;
int64_t nOutputRows, nOutputCols;
int64_t istride0, kstride0, istride1, kstride1;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k;
THArgCheck(t_->nDimension == 4 , 3, "input: 4D Tensor expected");
THArgCheck(k_->nDimension == 4 , 4, "kernel: 4D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
istride0 = input->stride[0];
istride1 = input->stride[1];
nbatch = input->size[0];
nInputPlane = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
kstride1 = kernel->stride[1];
nKernelPlane = kernel->size[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
THArgCheck(nInputRows >= nKernelRows && nInputCols >= nKernelCols , 2, "conv2DRevger : Input image is smaller than kernel");
THArgCheck(kernel->size[0] == input->size[0] , 2, "conv2DRevger : Input batch and kernel batch is not same size");
nOutputRows = nInputRows - (nKernelRows - 1) * srow;
nOutputCols = nInputCols - (nKernelCols - 1) * scol;
nelem = THTensor_(nElement)(r_);
THTensor_(resize4d)(r_,nKernelPlane, nInputPlane, nOutputRows, nOutputCols);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
/*THTensor_(zero)(r_);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]*r_->size[1]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] = 0.0;
}
}
else if (beta != 1)
{
/*THTensor_(mul)(r_, beta);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]*r_->size[1]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] *= beta;
}
}
#pragma omp parallel for private(k)
for(k = 0; k < nKernelPlane; k++)
{
int64_t i;
for(i = 0; i < nInputPlane; i++)
{
int64_t p;
for(p = 0; p < nbatch; p++)
{
/* get kernel */
real *ptr_weight = weight_data + p*kstride0 + k*kstride1;
/* get output */
real *ptr_output = output_data + k*nInputPlane*nOutputCols*nOutputRows + i*nOutputCols*nOutputRows;
/* get input */
real *ptr_input = input_data + p*istride0 + i*istride1;
/* do image, kernel convolution */
THTensor_(validXCorr2DRevptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
/* Next output plane */
/* output_data += nOutputCols*nOutputRows; */
}
}
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
3D input, 3D kernel, 4D output
like rank1 update
A <- xx' + beta*A
*/
void THTensor_(conv2Dger)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputRows, nInputCols;
int64_t nKernelPlane, nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k;
THArgCheck(t_->nDimension == 3 , 3, "input: 3D Tensor expected");
THArgCheck(k_->nDimension == 3 , 4, "kernel: 3D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 7, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 7, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
nInputPlane = input->size[0];
istride0 = input->stride[0];
nInputRows = input->size[1];
nInputCols = input->size[2];
kstride0 = kernel->stride[0];
nKernelPlane = kernel->size[0];
nKernelRows = kernel->size[1];
nKernelCols = kernel->size[2];
nOutputPlane = nInputPlane * kernel->size[0];
THArgCheck((nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv2Dger : Input image is smaller than kernel");
if (*vf == 'F') {
nOutputRows = (nInputRows - 1) * srow + nKernelRows;
nOutputCols = (nInputCols - 1) * scol + nKernelCols;
} else { /* valid */
nOutputRows = (nInputRows - nKernelRows) / srow + 1;
nOutputCols = (nInputCols - nKernelCols) / scol + 1;
}
nelem = THTensor_(nElement)(r_);
THTensor_(resize4d)(r_, nKernelPlane, nInputPlane, nOutputRows, nOutputCols);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
/*THTensor_(zero)(r_);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]*r_->size[1]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] = 0.0;
}
}
else if (beta != 1)
{
/*THTensor_(mul)(r_, beta);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]*r_->size[1]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] *= beta;
}
}
#pragma omp parallel for private(k)
for(k = 0; k < nKernelPlane; k++)
{
int64_t i;
/* get kernel */
real *ptr_weight = weight_data+k*kstride0;
for(i = 0; i < nInputPlane; i++)
{
/* get output */
real *ptr_output = output_data + k*nInputPlane*nOutputCols*nOutputRows + i*nOutputCols*nOutputRows;
/* get input */
real *ptr_input = input_data+i*istride0;
/* do image, kernel convolution */
if (*vf == 'F')
if (*xc == 'X')
THTensor_(fullXCorr2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(fullConv2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
if (*xc == 'X')
THTensor_(validXCorr2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(validConv2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
/* Next output plane */
/* output_data += nOutputCols*nOutputRows; */
}
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
3D input, 4D kernel, 3D output
matrix vector product like
y <- Ax + beta*y
*/
void THTensor_(conv2Dmv)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputRows, nInputCols;
int64_t nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputRows, nOutputCols;
int64_t istride0, kstride0, kstride1;
THTensor *input;
THTensor* kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k;
THArgCheck(t_->nDimension == 3 , 3, "input: 3D Tensor expected");
THArgCheck(k_->nDimension == 4 , 4, "kernel: 4D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 7, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 7, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
if (!(k_->stride[3] == 1) || !(k_->stride[2] == k_->size[3])) {
kernel = THTensor_(newContiguous)(k_);
} else {
THTensor_(retain)(k_);
kernel = k_;
}
nInputPlane = input->size[0];
istride0 = input->stride[0];
nInputRows = input->size[1];
nInputCols = input->size[2];
kstride0 = kernel->stride[0];
kstride1 = kernel->stride[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
nOutputPlane = kernel->size[0];
THArgCheck(kernel->size[1] == nInputPlane, 2, "invalid number of input planes");
THArgCheck( (nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv2Dmv : Input image is smaller than kernel");
if (*vf == 'F') {
nOutputRows = (nInputRows - 1) * srow + nKernelRows;
nOutputCols = (nInputCols - 1) * scol + nKernelCols;
} else { /* valid */
nOutputRows = (nInputRows - nKernelRows) / srow + 1;
nOutputCols = (nInputCols - nKernelCols) / scol + 1;
}
nelem = THTensor_(nElement)(r_);
THTensor_(resize3d)(r_, nOutputPlane, nOutputRows, nOutputCols);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
/*THTensor_(zero)(r_);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] = 0.0;
}
}
else if (beta != 1)
{
/*THTensor_(mul)(r_, beta);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]; k++)
{
real* ptr_output = output_data + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] *= beta;
}
}
#pragma omp parallel for private(k)
for(k = 0; k < nOutputPlane; k++)
{
int64_t i;
/* get output */
real *ptr_output = output_data + k*nOutputCols*nOutputRows;
for(i = 0; i < nInputPlane; i++)
{
/* get kernel */
real *ptr_weight = weight_data + k*kstride0 + i*kstride1;
/* get input */
real *ptr_input = input_data + i*istride0;
/* do image, kernel convolution */
if (*vf == 'F')
if (*xc == 'X')
THTensor_(fullXCorr2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(fullConv2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
if (*xc == 'X')
THTensor_(validXCorr2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(validConv2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
}
/* Next output plane */
/* output_data += nOutputCols*nOutputRows;*/
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
3D input, 4D kernel, 3D output
matrix vector product like
y <- Ax + beta*y
*/
void THTensor_(conv2Dmm)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputRows, nInputCols;
int64_t nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputRows, nOutputCols;
int64_t kstride0, kstride1;
THTensor *input;
THTensor* kernel;
int64_t nbatch;
ptrdiff_t nelem;
real *input_data;
real *weight_data;
real *output_data;
int64_t p;
THArgCheck(t_->nDimension == 4 , 3, "input: 4D Tensor expected");
THArgCheck(k_->nDimension == 4 , 4, "kernel: 4D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 7, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 7, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
if (!(k_->stride[3] == 1) || !(k_->stride[2] == k_->size[3])) {
kernel = THTensor_(newContiguous)(k_);
} else {
THTensor_(retain)(k_);
kernel = k_;
}
nbatch = input->size[0];
nInputPlane = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
kstride1 = kernel->stride[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
nOutputPlane = kernel->size[0];
THArgCheck(kernel->size[1] == nInputPlane, 2, "invalid number of input planes");
THArgCheck( (nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv2Dmv : Input image is smaller than kernel");
if (*vf == 'F') {
nOutputRows = (nInputRows - 1) * srow + nKernelRows;
nOutputCols = (nInputCols - 1) * scol + nKernelCols;
} else { /* valid */
nOutputRows = (nInputRows - nKernelRows) / srow + 1;
nOutputCols = (nInputCols - nKernelCols) / scol + 1;
}
nelem = THTensor_(nElement)(r_);
THTensor_(resize4d)(r_, nbatch, nOutputPlane, nOutputRows, nOutputCols);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
/*THTensor_(zero)(r_);*/
#pragma omp parallel for private(p)
for (p=0; p < r_->size[0]; p++)
{
int64_t k;
for (k = 0; k < r_->size[1]; k++)
{
real* ptr_output = output_data + p*nOutputPlane*nOutputRows*nOutputCols + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] = 0.0;
}
}
}
else if (beta != 1)
{
/*THTensor_(mul)(r_, beta);*/
#pragma omp parallel for private(p)
for(p=0; p < r_->size[0]; p++)
{
int64_t k;
for (k = 0; k < r_->size[1]; k++)
{
real* ptr_output = output_data + p*nOutputPlane*nOutputRows*nOutputCols + k*nOutputCols*nOutputRows;
int64_t l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] *= beta;
}
}
}
#pragma omp parallel for private(p)
for(p=0; p < nbatch; p++)
{
int64_t k;
for(k = 0; k < nOutputPlane; k++)
{
int64_t i;
/* get output */
real *ptr_output = output_data + p*nOutputPlane*nOutputCols*nOutputRows + k*nOutputCols*nOutputRows;
for(i = 0; i < nInputPlane; i++)
{
/* get kernel */
real *ptr_weight = weight_data + k*kstride0 + i*kstride1;
/* get input */
real *ptr_input = input_data + p*nInputPlane*nInputRows*nInputCols + i*nInputRows*nInputCols;
/* do image, kernel convolution */
if (*vf == 'F')
if (*xc == 'X')
THTensor_(fullXCorr2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(fullConv2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
if (*xc == 'X')
THTensor_(validXCorr2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
else
THTensor_(validConv2Dptr)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
}
/* Next output plane */
/* output_data += nOutputCols*nOutputRows;*/
}
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
2D input, 2D kernel, 2D output
scalar multiplication like
y <- x*y + beta*y
*/
void THTensor_(conv2Dmul)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
THTensor *input;
THTensor* kernel;
int64_t nInputRows;
int64_t nInputCols;
int64_t nKernelRows;
int64_t nKernelCols;
int64_t nOutputRows, nOutputCols;
real *ptr_input;
real *ptr_weight;
real *output_data;
ptrdiff_t nelem;
THArgCheck(t_->nDimension == 2 , 3, "input: 2D Tensor expected");
THArgCheck(k_->nDimension == 2 , 4, "kernel: 2D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
nInputRows = input->size[0];
nInputCols = input->size[1];
nKernelRows = kernel->size[0];
nKernelCols = kernel->size[1];
THArgCheck((nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv2Dmul : Input image is smaller than kernel");
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize2d)(r_, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
THTensor_(zero)(r_);
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
ptr_input = THTensor_(data)(input);
ptr_weight = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
/* do image, kernel convolution */
THTensor_(conv2d)(output_data,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol, vf, xc);
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
3D input, 3D kernel, 3D output
component wise multiplication like
y <- y.*x + beta*y
*/
void THTensor_(conv2Dcmul)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputRows, nInputCols;
int64_t nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k;
THArgCheck(t_->nDimension == 3 , 3, "input: 3D Tensor expected");
THArgCheck(k_->nDimension == 3 , 4, "kernel: 3D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
istride0 = input->stride[0];
nInputPlane = input->size[0];
nInputRows = input->size[1];
nInputCols = input->size[2];
kstride0 = kernel->stride[0];
nOutputPlane = kernel->size[0];
nKernelRows = kernel->size[1];
nKernelCols = kernel->size[2];
THArgCheck(nOutputPlane == nInputPlane, 2, "invalid number of input/kernel planes");
THArgCheck( (nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv2Dcmul : Input image is smaller than kernel");
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize3d)(r_, nOutputPlane, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
THTensor_(zero)(r_);
}
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
for(k = 0; k < nOutputPlane; k++)
{
/* get kernel */
real *ptr_weight = weight_data + k*kstride0;
/* get input */
real *ptr_input = input_data + k*istride0;
/* do image, kernel convolution */
THTensor_(conv2d)(output_data,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol, vf, xc);
/* Next output plane */
output_data += nOutputCols*nOutputRows;
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
3D input, 3D kernel, 3D output
component wise multiplication like with a permutation map
y <- y.*x + beta*y
*/
void THTensor_(conv2Dmap)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, THTensor *map, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputRows, nInputCols;
int64_t nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor* kernel;
real *input_data;
real *weight_data;
real *output_data;
int64_t nmaps;
ptrdiff_t nelem;
int64_t k;
THArgCheck(t_->nDimension == 3 , 3, "input: 3D Tensor expected");
THArgCheck(k_->nDimension == 3 , 4, "kernel: 3D Tensor expected");
THArgCheck(map->nDimension == 2 , 4, "map: 2D Tensor expected");
THArgCheck(srow >= 1, 6, "Stride should be a positive integer");
THArgCheck(scol >= 1, 7, "Stride should be a positive integer");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
istride0 = input->stride[0];
nInputPlane = input->size[0];
nInputRows = input->size[1];
nInputCols = input->size[2];
kstride0 = kernel->stride[0];
nOutputPlane = kernel->size[0];
nKernelRows = kernel->size[1];
nKernelCols = kernel->size[2];
THArgCheck(nOutputPlane == nInputPlane, 2, "invalid number of input/kernel planes");
THArgCheck( (nInputRows >= nKernelRows && nInputCols >= nKernelCols)
|| *vf == 'F', 2, "conv2Dmap : Input image is smaller than kernel");
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize3d)(r_, nOutputPlane, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
THTensor_(zero)(r_);
}
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
nmaps = map->size[0];
for(k = 0; k < nmaps; k++)
{
/* get indices */
int64_t from = (int64_t)THTensor_(get2d)(map,k,0)-1;
int64_t to = (int64_t)THTensor_(get2d)(map,k,1)-1;
/* get kernel */
real *ptr_weight = weight_data + k*kstride0;
/* get input */
real *ptr_input = input_data + from*istride0;
/* get output */
real *ptr_output = output_data + to*nOutputRows*nOutputCols;
/* do image, kernel convolution */
THTensor_(conv2d)(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol, vf, xc);
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
4D input, 4D kernel, 5D output
like rank1 update
A <- xx' + beta*A
for sr,sc=1 this is equivalent to xcorr2Dger, but otherwise it is useful for
calculating derivatives wrt a kernel that is applied with stride sr,sc != 1
*/
void THTensor_(conv3DRevger)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_,
int64_t sdepth, int64_t srow, int64_t scol)
{
int64_t nInputPlane, nInputDepth, nInputRows, nInputCols;
int64_t nKernelPlane, nKernelDepth, nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputDepth, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k, i;
THArgCheck(t_->nDimension == 4 , 3, "input: 4D Tensor expected");
THArgCheck(k_->nDimension == 4 , 4, "kernel: 4D Tensor expected");
THArgCheck(sdepth >= 1, 5, "Stride should be a positive integer");
THArgCheck(srow >= 1, 6, "Stride should be a positive integer");
THArgCheck(scol >= 1, 7, "Stride should be a positive integer");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
nInputPlane = input->size[0];
istride0 = input->stride[0];
nInputDepth = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
nKernelPlane = kernel->size[0];
nKernelDepth= kernel->size[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
nOutputPlane = nInputPlane * kernel->size[0];
THArgCheck(nInputDepth >= nKernelDepth && nInputRows >= nKernelRows && nInputCols >= nKernelCols , 2, "conv3DRevger : Input image is smaller than kernel");
nOutputDepth = nInputDepth - (nKernelDepth - 1) * sdepth;
nOutputRows = nInputRows - (nKernelRows - 1) * srow;
nOutputCols = nInputCols - (nKernelCols - 1) * scol;
nelem = THTensor_(nElement)(r_);
THTensor_(resize5d)(r_,nKernelPlane, nInputPlane, nOutputDepth, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
THTensor_(zero)(r_);
}
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
for(k = 0; k < nKernelPlane; k++)
{
/* get kernel */
real *ptr_weight = weight_data+k*kstride0;
for(i = 0; i < nInputPlane; i++)
{
/* get input */
real *ptr_input = input_data+i*istride0;
/* do image, kernel convolution */
THTensor_(validXCorr3DRevptr)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol);
/* Next output plane */
output_data += nOutputDepth*nOutputCols*nOutputRows;
}
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
4D input, 4D kernel, 5D output
like rank1 update
A <- xx' + beta*A
*/
void THTensor_(conv3Dger)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_,
int64_t sdepth, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputDepth, nInputRows, nInputCols;
int64_t nKernelPlane, nKernelDepth, nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputDepth, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k, i;
THArgCheck(t_->nDimension == 4 , 3, "input: 4D Tensor expected");
THArgCheck(k_->nDimension == 4 , 4, "kernel: 4D Tensor expected");
THArgCheck(sdepth >= 1, 5, "Stride should be a positive integer");
THArgCheck(srow >= 1, 6, "Stride should be a positive integer");
THArgCheck(scol >= 1, 7, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 8, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 8, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
nInputPlane = input->size[0];
istride0 = input->stride[0];
nInputDepth = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
nKernelPlane = kernel->size[0];
nKernelDepth = kernel->size[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
nOutputPlane = nInputPlane * kernel->size[0];
THArgCheck((nInputDepth >= nKernelDepth
&& nInputRows >= nKernelRows
&& nInputCols >= nKernelCols)
|| *vf == 'F', 2, "conv3Dger : Input image is smaller than kernel");
nOutputDepth = THTensor_(convsize)(nInputDepth, nKernelDepth, sdepth, vf);
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize5d)(r_,nKernelPlane, nInputPlane, nOutputDepth, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
THTensor_(zero)(r_);
}
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
for(k = 0; k < nKernelPlane; k++)
{
/* get kernel */
real *ptr_weight = weight_data+k*kstride0;
for(i = 0; i < nInputPlane; i++)
{
/* get input */
real *ptr_input = input_data+i*istride0;
/* do image, kernel convolution */
THTensor_(conv3d)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol, vf, xc);
/* Next output plane */
output_data += nOutputDepth*nOutputCols*nOutputRows;
}
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
4D input, 5D kernel, 4D output
matrix vector product like
y <- Ax + beta*y
*/
void THTensor_(conv3Dmv)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_,
int64_t sdepth, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputDepth, nInputRows, nInputCols;
int64_t nKernelDepth, nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputDepth, nOutputRows, nOutputCols;
int64_t istride0, kstride0, kstride1;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k, i;
THArgCheck(t_->nDimension == 4 , 3, "input: 4D Tensor expected");
THArgCheck(k_->nDimension == 5 , 4, "kernel: 5D Tensor expected");
THArgCheck(sdepth >= 1, 5, "Stride should be a positive integer");
THArgCheck(srow >= 1, 6, "Stride should be a positive integer");
THArgCheck(scol >= 1, 7, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 8, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 8, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
if (!(k_->stride[4] == 1) || !(k_->stride[3] == k_->size[4])) {
kernel = THTensor_(newContiguous)(k_);
} else {
THTensor_(retain)(k_);
kernel = k_;
}
nInputPlane = input->size[0];
istride0 = input->stride[0];
nInputDepth = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
kstride1 = kernel->stride[1];
nKernelDepth = kernel->size[2];
nKernelRows = kernel->size[3];
nKernelCols = kernel->size[4];
nOutputPlane = kernel->size[0];
THArgCheck(kernel->size[1] == nInputPlane, 2, "invalid number of input planes");
THArgCheck( (nInputDepth >= nKernelDepth && nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv3Dmv : Input image is smaller than kernel");
nOutputDepth = THTensor_(convsize)(nInputDepth, nKernelDepth, sdepth, vf);
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize4d)(r_, nOutputPlane, nOutputDepth, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
THTensor_(zero)(r_);
}
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
for(k = 0; k < nOutputPlane; k++)
{
for(i = 0; i < nInputPlane; i++)
{
/* get kernel */
real *ptr_weight = weight_data + k*kstride0 + i*kstride1;
/* get input */
real *ptr_input = input_data + i*istride0;
/* do image, kernel convolution */
THTensor_(conv3d)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol, vf, xc);
}
/* Next output plane */
output_data += nOutputDepth*nOutputCols*nOutputRows;
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
3D input, 3D kernel, 3D output
scalar multiplication like
y <- x*y + beta*y
*/
void THTensor_(conv3Dmul)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_,
int64_t sdepth, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
THTensor *input;
THTensor* kernel;
int64_t nInputDepth;
int64_t nInputRows;
int64_t nInputCols;
int64_t nKernelDepth;
int64_t nKernelRows;
int64_t nKernelCols;
int64_t nOutputDepth, nOutputRows, nOutputCols;
real *ptr_input;
real *ptr_weight;
real *output_data;
ptrdiff_t nelem;
THArgCheck(t_->nDimension == 3 , 3, "input: 3D Tensor expected");
THArgCheck(k_->nDimension == 3 , 4, "kernel: 3D Tensor expected");
THArgCheck(sdepth >= 1, 5, "Stride should be a positive integer");
THArgCheck(srow >= 1, 6, "Stride should be a positive integer");
THArgCheck(scol >= 1, 7, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 8, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 8, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
nInputDepth = input->size[0];
nInputRows = input->size[1];
nInputCols = input->size[2];
nKernelDepth = kernel->size[0];
nKernelRows = kernel->size[1];
nKernelCols = kernel->size[2];
THArgCheck((nInputDepth >= nKernelDepth && nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv3Dmul : Input image is smaller than kernel");
nOutputDepth = THTensor_(convsize)(nInputDepth, nKernelDepth, sdepth, vf);
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize3d)(r_, nOutputDepth, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
THTensor_(zero)(r_);
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
ptr_input = THTensor_(data)(input);
ptr_weight = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
/* do image, kernel convolution */
THTensor_(conv3d)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol, vf, xc);
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
4D input, 4D kernel, 4D output
component wise multiplication like
y <- y.*x + beta*y
*/
void THTensor_(conv3Dcmul)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_,
int64_t sdepth, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputDepth, nInputRows, nInputCols;
int64_t nKernelDepth, nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputDepth, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor *kernel;
real *input_data;
real *weight_data;
real *output_data;
ptrdiff_t nelem;
int64_t k;
THArgCheck(t_->nDimension == 4 , 3, "input: 3D Tensor expected");
THArgCheck(k_->nDimension == 4 , 4, "kernel: 3D Tensor expected");
THArgCheck(srow >= 1, 5, "Stride should be a positive integer");
THArgCheck(scol >= 1, 6, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 7, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 7, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
istride0 = input->stride[0];
nInputPlane = input->size[0];
nInputDepth = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
nOutputPlane = kernel->size[0];
nKernelDepth = kernel->size[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
THArgCheck(nOutputPlane == nInputPlane, 2, "invalid number of input/kernel planes");
THArgCheck( (nInputDepth >= nKernelDepth && nInputRows >= nKernelRows && nInputCols >= nKernelCols) || *vf == 'F', 2, "conv3Dcmul : Input image is smaller than kernel");
nOutputDepth = THTensor_(convsize)(nInputDepth, nKernelDepth, sdepth, vf);
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize4d)(r_, nOutputPlane, nOutputDepth, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
THTensor_(zero)(r_);
}
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
for(k = 0; k < nOutputPlane; k++)
{
/* get kernel */
real *ptr_weight = weight_data + k*kstride0;
/* get input */
real *ptr_input = input_data + k*istride0;
/* do image, kernel convolution */
THTensor_(conv3d)(output_data,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol, vf, xc);
/* Next output plane */
output_data += nOutputDepth*nOutputCols*nOutputRows;
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
/*
4D input, 4D kernel, 4D output
component wise multiplication like with a permutation map
y <- y.*x + beta*y
*/
void THTensor_(conv3Dmap)(THTensor *r_, real beta, real alpha, THTensor *t_, THTensor *k_, THTensor *map,
int64_t sdepth, int64_t srow, int64_t scol, const char *vf, const char *xc)
{
int64_t nInputPlane, nInputDepth, nInputRows, nInputCols;
int64_t nKernelDepth, nKernelRows, nKernelCols;
int64_t nOutputPlane, nOutputDepth, nOutputRows, nOutputCols;
int64_t istride0, kstride0;
THTensor *input;
THTensor *kernel;
ptrdiff_t nelem;
real *input_data;
real *weight_data;
real *output_data;
int64_t nmaps;
int64_t k;
THArgCheck(t_->nDimension == 4 , 3, "input: 4D Tensor expected");
THArgCheck(k_->nDimension == 4 , 4, "kernel: 4D Tensor expected");
THArgCheck(map->nDimension == 2 , 4, "map: 2D Tensor expected");
THArgCheck(srow >= 1, 6, "Stride should be a positive integer");
THArgCheck(scol >= 1, 7, "Stride should be a positive integer");
THArgCheck(*vf == 'V' || *vf == 'F', 8, "type of convolution can 'V' or 'F'");
THArgCheck(*xc == 'C' || *xc == 'X', 8, "type of convolution can 'X' or 'C'");
input = THTensor_(newContiguous)(t_);
kernel = THTensor_(newContiguous)(k_);
istride0 = input->stride[0];
nInputPlane = input->size[0];
nInputDepth = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
nOutputPlane = kernel->size[0];
nKernelDepth = kernel->size[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
THArgCheck(nOutputPlane == nInputPlane, 2, "invalid number of input/kernel planes");
THArgCheck((nInputDepth >= nKernelDepth
&& nInputRows >= nKernelRows
&& nInputCols >= nKernelCols) || *vf == 'F',
2, "conv3Dmap : Input image is smaller than kernel");
nOutputDepth = THTensor_(convsize)(nInputDepth, nKernelDepth, sdepth, vf);
nOutputRows = THTensor_(convsize)(nInputRows, nKernelRows, srow, vf);
nOutputCols = THTensor_(convsize)(nInputCols, nKernelCols, scol, vf);
nelem = THTensor_(nElement)(r_);
THTensor_(resize4d)(r_, nOutputPlane, nOutputDepth, nOutputRows, nOutputCols);
if (nelem == 0 || beta == 0 || nelem != THTensor_(nElement)(r_))
{
THTensor_(zero)(r_);
}
else if (beta != 1)
THTensor_(mul)(r_, r_, beta);
input_data = THTensor_(data)(input);
weight_data = THTensor_(data)(kernel);
output_data = THTensor_(data)(r_);
nmaps = map->size[0];
for(k = 0; k < nmaps; k++)
{
/* get indices */
int64_t from = (int64_t)THTensor_(get2d)(map,k,0)-1;
int64_t to = (int64_t)THTensor_(get2d)(map,k,1)-1;
/* get kernel */
real *ptr_weight = weight_data + k*kstride0;
/* get input */
real *ptr_input = input_data + from*istride0;
/* get output */
real *ptr_output = output_data + to*nOutputDepth*nOutputRows*nOutputCols;
/* do image, kernel convolution */
THTensor_(conv3d)(ptr_output,
alpha,
ptr_input, nInputDepth, nInputRows, nInputCols,
ptr_weight, nKernelDepth, nKernelRows, nKernelCols,
sdepth, srow, scol, vf, xc);
}
THTensor_(free)(input);
THTensor_(free)(kernel);
}
#endif
|
GB_binop__iseq_fp64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef 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__iseq_fp64)
// A.*B function (eWiseMult): GB (_AemultB_08__iseq_fp64)
// A.*B function (eWiseMult): GB (_AemultB_02__iseq_fp64)
// A.*B function (eWiseMult): GB (_AemultB_04__iseq_fp64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__iseq_fp64)
// A*D function (colscale): GB (_AxD__iseq_fp64)
// D*A function (rowscale): GB (_DxB__iseq_fp64)
// C+=B function (dense accum): GB (_Cdense_accumB__iseq_fp64)
// C+=b function (dense accum): GB (_Cdense_accumb__iseq_fp64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__iseq_fp64)
// C=scalar+B GB (_bind1st__iseq_fp64)
// C=scalar+B' GB (_bind1st_tran__iseq_fp64)
// C=A+scalar GB (_bind2nd__iseq_fp64)
// C=A'+scalar GB (_bind2nd_tran__iseq_fp64)
// C type: double
// A type: double
// A pattern? 0
// B type: double
// B pattern? 0
// BinaryOp: cij = (aij == bij)
#define GB_ATYPE \
double
#define GB_BTYPE \
double
#define GB_CTYPE \
double
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
double aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
double bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
double t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x == y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ISEQ || GxB_NO_FP64 || GxB_NO_ISEQ_FP64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__iseq_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__iseq_fp64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__iseq_fp64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type double
double bwork = (*((double *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__iseq_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *restrict Cx = (double *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__iseq_fp64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *restrict Cx = (double *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__iseq_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
double alpha_scalar ;
double beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((double *) alpha_scalar_in)) ;
beta_scalar = (*((double *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__iseq_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__iseq_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__iseq_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__iseq_fp64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__iseq_fp64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *Cx = (double *) Cx_output ;
double x = (*((double *) x_input)) ;
double *Bx = (double *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
double bij = GBX (Bx, p, false) ;
Cx [p] = (x == bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__iseq_fp64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
double *Cx = (double *) Cx_output ;
double *Ax = (double *) Ax_input ;
double y = (*((double *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
double aij = GBX (Ax, p, false) ;
Cx [p] = (aij == y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x == aij) ; \
}
GrB_Info GB (_bind1st_tran__iseq_fp64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
double
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double x = (*((const double *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
double
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij == y) ; \
}
GrB_Info GB (_bind2nd_tran__iseq_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double y = (*((const double *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
tinyexr.h | /*
Copyright (c) 2014 - 2017, Syoyo Fujita
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Syoyo Fujita nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
// TinyEXR contains some OpenEXR code, which is licensed under ------------
///////////////////////////////////////////////////////////////////////////
//
// Copyright (c) 2002, Industrial Light & Magic, a division of Lucas
// Digital Ltd. LLC
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above
// copyright notice, this list of conditions and the following disclaimer
// in the documentation and/or other materials provided with the
// distribution.
// * Neither the name of Industrial Light & Magic nor the names of
// its contributors may be used to endorse or promote products derived
// from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
///////////////////////////////////////////////////////////////////////////
// End of OpenEXR license -------------------------------------------------
#ifndef TINYEXR_H_
#define TINYEXR_H_
//
//
// Do this:
// #define TINYEXR_IMPLEMENTATION
// before you include this file in *one* C or C++ file to create the
// implementation.
//
// // i.e. it should look like this:
// #include ...
// #include ...
// #include ...
// #define TINYEXR_IMPLEMENTATION
// #include "tinyexr.h"
//
//
#include <stddef.h> // for size_t
#include <stdint.h> // guess stdint.h is available(C99)
// -- GODOT change for old MinGW on Travis CI --
#if defined(__MINGW32__)
#include <_mingw.h> // for __MINGW64_VERSION_MAJOR
#endif
#ifdef __cplusplus
extern "C" {
#endif
// Use embedded miniz or not to decode ZIP format pixel. Linking with zlib
// required if this flas is 0.
#ifndef TINYEXR_USE_MINIZ
#define TINYEXR_USE_MINIZ (1)
#endif
// Disable PIZ comporession when applying cpplint.
#ifndef TINYEXR_USE_PIZ
#define TINYEXR_USE_PIZ (1)
#endif
#ifndef TINYEXR_USE_ZFP
#define TINYEXR_USE_ZFP (0) // TinyEXR extension.
// http://computation.llnl.gov/projects/floating-point-compression
#endif
#define TINYEXR_SUCCESS (0)
#define TINYEXR_ERROR_INVALID_MAGIC_NUMBER (-1)
#define TINYEXR_ERROR_INVALID_EXR_VERSION (-2)
#define TINYEXR_ERROR_INVALID_ARGUMENT (-3)
#define TINYEXR_ERROR_INVALID_DATA (-4)
#define TINYEXR_ERROR_INVALID_FILE (-5)
#define TINYEXR_ERROR_INVALID_PARAMETER (-5)
#define TINYEXR_ERROR_CANT_OPEN_FILE (-6)
#define TINYEXR_ERROR_UNSUPPORTED_FORMAT (-7)
#define TINYEXR_ERROR_INVALID_HEADER (-8)
// @note { OpenEXR file format: http://www.openexr.com/openexrfilelayout.pdf }
// pixel type: possible values are: UINT = 0 HALF = 1 FLOAT = 2
#define TINYEXR_PIXELTYPE_UINT (0)
#define TINYEXR_PIXELTYPE_HALF (1)
#define TINYEXR_PIXELTYPE_FLOAT (2)
#define TINYEXR_MAX_ATTRIBUTES (128)
#define TINYEXR_COMPRESSIONTYPE_NONE (0)
#define TINYEXR_COMPRESSIONTYPE_RLE (1)
#define TINYEXR_COMPRESSIONTYPE_ZIPS (2)
#define TINYEXR_COMPRESSIONTYPE_ZIP (3)
#define TINYEXR_COMPRESSIONTYPE_PIZ (4)
#define TINYEXR_COMPRESSIONTYPE_ZFP (128) // TinyEXR extension
#define TINYEXR_ZFP_COMPRESSIONTYPE_RATE (0)
#define TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION (1)
#define TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY (2)
#define TINYEXR_TILE_ONE_LEVEL (0)
#define TINYEXR_TILE_MIPMAP_LEVELS (1)
#define TINYEXR_TILE_RIPMAP_LEVELS (2)
#define TINYEXR_TILE_ROUND_DOWN (0)
#define TINYEXR_TILE_ROUND_UP (1)
typedef struct _EXRVersion {
int version; // this must be 2
int tiled; // tile format image
int long_name; // long name attribute
int non_image; // deep image(EXR 2.0)
int multipart; // multi-part(EXR 2.0)
} EXRVersion;
typedef struct _EXRAttribute {
char name[256]; // name and type are up to 255 chars long.
char type[256];
unsigned char *value; // uint8_t*
int size;
int pad0;
} EXRAttribute;
typedef struct _EXRChannelInfo {
char name[256]; // less than 255 bytes long
int pixel_type;
int x_sampling;
int y_sampling;
unsigned char p_linear;
unsigned char pad[3];
} EXRChannelInfo;
typedef struct _EXRTile {
int offset_x;
int offset_y;
int level_x;
int level_y;
int width; // actual width in a tile.
int height; // actual height int a tile.
unsigned char **images; // image[channels][pixels]
} EXRTile;
typedef struct _EXRHeader {
float pixel_aspect_ratio;
int line_order;
int data_window[4];
int display_window[4];
float screen_window_center[2];
float screen_window_width;
int chunk_count;
// Properties for tiled format(`tiledesc`).
int tiled;
int tile_size_x;
int tile_size_y;
int tile_level_mode;
int tile_rounding_mode;
int long_name;
int non_image;
int multipart;
unsigned int header_len;
// Custom attributes(exludes required attributes(e.g. `channels`,
// `compression`, etc)
int num_custom_attributes;
EXRAttribute custom_attributes[TINYEXR_MAX_ATTRIBUTES];
EXRChannelInfo *channels; // [num_channels]
int *pixel_types; // Loaded pixel type(TINYEXR_PIXELTYPE_*) of `images` for
// each channel. This is overwritten with `requested_pixel_types` when
// loading.
int num_channels;
int compression_type; // compression type(TINYEXR_COMPRESSIONTYPE_*)
int *requested_pixel_types; // Filled initially by
// ParseEXRHeaderFrom(Meomory|File), then users
// can edit it(only valid for HALF pixel type
// channel)
} EXRHeader;
typedef struct _EXRMultiPartHeader {
int num_headers;
EXRHeader *headers;
} EXRMultiPartHeader;
typedef struct _EXRImage {
EXRTile *tiles; // Tiled pixel data. The application must reconstruct image
// from tiles manually. NULL if scanline format.
unsigned char **images; // image[channels][pixels]. NULL if tiled format.
int width;
int height;
int num_channels;
// Properties for tile format.
int num_tiles;
} EXRImage;
typedef struct _EXRMultiPartImage {
int num_images;
EXRImage *images;
} EXRMultiPartImage;
typedef struct _DeepImage {
const char **channel_names;
float ***image; // image[channels][scanlines][samples]
int **offset_table; // offset_table[scanline][offsets]
int num_channels;
int width;
int height;
int pad0;
} DeepImage;
// @deprecated { to be removed. }
// Loads single-frame OpenEXR image. Assume EXR image contains RGB(A) channels.
// Application must free image data as returned by `out_rgba`
// Result image format is: float x RGBA x width x hight
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXR(float **out_rgba, int *width, int *height,
const char *filename, const char **err);
// @deprecated { to be removed. }
// Saves single-frame OpenEXR image. Assume EXR image contains RGB(A) channels.
// components must be 3(RGB) or 4(RGBA).
// Result image format is: float x RGB(A) x width x hight
extern int SaveEXR(const float *data, int width, int height, int components,
const char *filename);
// Initialize EXRHeader struct
extern void InitEXRHeader(EXRHeader *exr_header);
// Initialize EXRImage struct
extern void InitEXRImage(EXRImage *exr_image);
// Free's internal data of EXRHeader struct
extern int FreeEXRHeader(EXRHeader *exr_header);
// Free's internal data of EXRImage struct
extern int FreeEXRImage(EXRImage *exr_image);
// Parse EXR version header of a file.
extern int ParseEXRVersionFromFile(EXRVersion *version, const char *filename);
// Parse EXR version header from memory-mapped EXR data.
extern int ParseEXRVersionFromMemory(EXRVersion *version,
const unsigned char *memory, size_t size);
// Parse single-part OpenEXR header from a file and initialize `EXRHeader`.
extern int ParseEXRHeaderFromFile(EXRHeader *header, const EXRVersion *version,
const char *filename, const char **err);
// Parse single-part OpenEXR header from a memory and initialize `EXRHeader`.
extern int ParseEXRHeaderFromMemory(EXRHeader *header,
const EXRVersion *version,
const unsigned char *memory, size_t size,
const char **err);
// Parse multi-part OpenEXR headers from a file and initialize `EXRHeader*`
// array.
extern int ParseEXRMultipartHeaderFromFile(EXRHeader ***headers,
int *num_headers,
const EXRVersion *version,
const char *filename,
const char **err);
// Parse multi-part OpenEXR headers from a memory and initialize `EXRHeader*`
// array
extern int ParseEXRMultipartHeaderFromMemory(EXRHeader ***headers,
int *num_headers,
const EXRVersion *version,
const unsigned char *memory,
size_t size, const char **err);
// Loads single-part OpenEXR image from a file.
// Application must setup `ParseEXRHeaderFromFile` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRImageFromFile(EXRImage *image, const EXRHeader *header,
const char *filename, const char **err);
// Loads single-part OpenEXR image from a memory.
// Application must setup `EXRHeader` with
// `ParseEXRHeaderFromMemory` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRImageFromMemory(EXRImage *image, const EXRHeader *header,
const unsigned char *memory,
const size_t size, const char **err);
// Loads multi-part OpenEXR image from a file.
// Application must setup `ParseEXRMultipartHeaderFromFile` before calling this
// function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRMultipartImageFromFile(EXRImage *images,
const EXRHeader **headers,
unsigned int num_parts,
const char *filename,
const char **err);
// Loads multi-part OpenEXR image from a memory.
// Application must setup `EXRHeader*` array with
// `ParseEXRMultipartHeaderFromMemory` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRMultipartImageFromMemory(EXRImage *images,
const EXRHeader **headers,
unsigned int num_parts,
const unsigned char *memory,
const size_t size, const char **err);
// Saves multi-channel, single-frame OpenEXR image to a file.
// Returns negative value and may set error string in `err` when there's an
// error
extern int SaveEXRImageToFile(const EXRImage *image,
const EXRHeader *exr_header, const char *filename,
const char **err);
// Saves multi-channel, single-frame OpenEXR image to a memory.
// Image is compressed using EXRImage.compression value.
// Return the number of bytes if succes.
// Returns negative value and may set error string in `err` when there's an
// error
extern size_t SaveEXRImageToMemory(const EXRImage *image,
const EXRHeader *exr_header,
unsigned char **memory, const char **err);
// Loads single-frame OpenEXR deep image.
// Application must free memory of variables in DeepImage(image, offset_table)
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadDeepEXR(DeepImage *out_image, const char *filename,
const char **err);
// NOT YET IMPLEMENTED:
// Saves single-frame OpenEXR deep image.
// Returns negative value and may set error string in `err` when there's an
// error
// extern int SaveDeepEXR(const DeepImage *in_image, const char *filename,
// const char **err);
// NOT YET IMPLEMENTED:
// Loads multi-part OpenEXR deep image.
// Application must free memory of variables in DeepImage(image, offset_table)
// extern int LoadMultiPartDeepEXR(DeepImage **out_image, int num_parts, const
// char *filename,
// const char **err);
// For emscripten.
// Loads single-frame OpenEXR image from memory. Assume EXR image contains
// RGB(A) channels.
// `out_rgba` must have enough memory(at least sizeof(float) x 4(RGBA) x width x
// hight)
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRFromMemory(float *out_rgba, const unsigned char *memory,
size_t size, const char **err);
#ifdef __cplusplus
}
#endif
#endif // TINYEXR_H_
#ifdef TINYEXR_IMPLEMENTATION
#ifndef TINYEXR_IMPLEMENTATION_DEIFNED
#define TINYEXR_IMPLEMENTATION_DEIFNED
#include <algorithm>
#include <cassert>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <sstream>
#include <string>
#include <vector>
#if __cplusplus > 199711L
// C++11
#include <cstdint>
#endif // __cplusplus > 199711L
#ifdef _OPENMP
#include <omp.h>
#endif
#if TINYEXR_USE_MINIZ
#else
#include "zlib.h"
#endif
#if TINYEXR_USE_ZFP
#include "zfp.h"
#endif
namespace tinyexr {
#if __cplusplus > 199711L
// C++11
typedef uint64_t tinyexr_uint64;
typedef int64_t tinyexr_int64;
#else
// Although `long long` is not a standard type pre C++11, assume it is defined
// as a compiler's extension.
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#endif
typedef unsigned long long tinyexr_uint64;
typedef long long tinyexr_int64;
#ifdef __clang__
#pragma clang diagnostic pop
#endif
#endif
#if TINYEXR_USE_MINIZ
namespace miniz {
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#pragma clang diagnostic ignored "-Wold-style-cast"
#pragma clang diagnostic ignored "-Wpadded"
#pragma clang diagnostic ignored "-Wsign-conversion"
#pragma clang diagnostic ignored "-Wc++11-extensions"
#pragma clang diagnostic ignored "-Wconversion"
#ifdef __APPLE__
#if __clang_major__ >= 8 && __clang__minor__ > 1
#pragma clang diagnostic ignored "-Wcomma"
#endif
#endif
#pragma clang diagnostic ignored "-Wunused-function"
#endif
/* miniz.c v1.15 - public domain deflate/inflate, zlib-subset, ZIP
reading/writing/appending, PNG writing
See "unlicense" statement at the end of this file.
Rich Geldreich <richgel99@gmail.com>, last updated Oct. 13, 2013
Implements RFC 1950: http://www.ietf.org/rfc/rfc1950.txt and RFC 1951:
http://www.ietf.org/rfc/rfc1951.txt
Most API's defined in miniz.c are optional. For example, to disable the
archive related functions just define
MINIZ_NO_ARCHIVE_APIS, or to get rid of all stdio usage define MINIZ_NO_STDIO
(see the list below for more macros).
* Change History
10/13/13 v1.15 r4 - Interim bugfix release while I work on the next major
release with Zip64 support (almost there!):
- Critical fix for the MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY bug
(thanks kahmyong.moon@hp.com) which could cause locate files to not find
files. This bug
would only have occured in earlier versions if you explicitly used this
flag, OR if you used mz_zip_extract_archive_file_to_heap() or
mz_zip_add_mem_to_archive_file_in_place()
(which used this flag). If you can't switch to v1.15 but want to fix
this bug, just remove the uses of this flag from both helper funcs (and of
course don't use the flag).
- Bugfix in mz_zip_reader_extract_to_mem_no_alloc() from kymoon when
pUser_read_buf is not NULL and compressed size is > uncompressed size
- Fixing mz_zip_reader_extract_*() funcs so they don't try to extract
compressed data from directory entries, to account for weird zipfiles which
contain zero-size compressed data on dir entries.
Hopefully this fix won't cause any issues on weird zip archives,
because it assumes the low 16-bits of zip external attributes are DOS
attributes (which I believe they always are in practice).
- Fixing mz_zip_reader_is_file_a_directory() so it doesn't check the
internal attributes, just the filename and external attributes
- mz_zip_reader_init_file() - missing MZ_FCLOSE() call if the seek failed
- Added cmake support for Linux builds which builds all the examples,
tested with clang v3.3 and gcc v4.6.
- Clang fix for tdefl_write_image_to_png_file_in_memory() from toffaletti
- Merged MZ_FORCEINLINE fix from hdeanclark
- Fix <time.h> include before config #ifdef, thanks emil.brink
- Added tdefl_write_image_to_png_file_in_memory_ex(): supports Y flipping
(super useful for OpenGL apps), and explicit control over the compression
level (so you can
set it to 1 for real-time compression).
- Merged in some compiler fixes from paulharris's github repro.
- Retested this build under Windows (VS 2010, including static analysis),
tcc 0.9.26, gcc v4.6 and clang v3.3.
- Added example6.c, which dumps an image of the mandelbrot set to a PNG
file.
- Modified example2 to help test the
MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY flag more.
- In r3: Bugfix to mz_zip_writer_add_file() found during merge: Fix
possible src file fclose() leak if alignment bytes+local header file write
faiiled
- In r4: Minor bugfix to mz_zip_writer_add_from_zip_reader():
Was pushing the wrong central dir header offset, appears harmless in this
release, but it became a problem in the zip64 branch
5/20/12 v1.14 - MinGW32/64 GCC 4.6.1 compiler fixes: added MZ_FORCEINLINE,
#include <time.h> (thanks fermtect).
5/19/12 v1.13 - From jason@cornsyrup.org and kelwert@mtu.edu - Fix
mz_crc32() so it doesn't compute the wrong CRC-32's when mz_ulong is 64-bit.
- Temporarily/locally slammed in "typedef unsigned long mz_ulong" and
re-ran a randomized regression test on ~500k files.
- Eliminated a bunch of warnings when compiling with GCC 32-bit/64.
- Ran all examples, miniz.c, and tinfl.c through MSVC 2008's /analyze
(static analysis) option and fixed all warnings (except for the silly
"Use of the comma-operator in a tested expression.." analysis warning,
which I purposely use to work around a MSVC compiler warning).
- Created 32-bit and 64-bit Codeblocks projects/workspace. Built and
tested Linux executables. The codeblocks workspace is compatible with
Linux+Win32/x64.
- Added miniz_tester solution/project, which is a useful little app
derived from LZHAM's tester app that I use as part of the regression test.
- Ran miniz.c and tinfl.c through another series of regression testing on
~500,000 files and archives.
- Modified example5.c so it purposely disables a bunch of high-level
functionality (MINIZ_NO_STDIO, etc.). (Thanks to corysama for the
MINIZ_NO_STDIO bug report.)
- Fix ftell() usage in examples so they exit with an error on files which
are too large (a limitation of the examples, not miniz itself).
4/12/12 v1.12 - More comments, added low-level example5.c, fixed a couple
minor level_and_flags issues in the archive API's.
level_and_flags can now be set to MZ_DEFAULT_COMPRESSION. Thanks to Bruce
Dawson <bruced@valvesoftware.com> for the feedback/bug report.
5/28/11 v1.11 - Added statement from unlicense.org
5/27/11 v1.10 - Substantial compressor optimizations:
- Level 1 is now ~4x faster than before. The L1 compressor's throughput
now varies between 70-110MB/sec. on a
- Core i7 (actual throughput varies depending on the type of data, and x64
vs. x86).
- Improved baseline L2-L9 compression perf. Also, greatly improved
compression perf. issues on some file types.
- Refactored the compression code for better readability and
maintainability.
- Added level 10 compression level (L10 has slightly better ratio than
level 9, but could have a potentially large
drop in throughput on some files).
5/15/11 v1.09 - Initial stable release.
* Low-level Deflate/Inflate implementation notes:
Compression: Use the "tdefl" API's. The compressor supports raw, static,
and dynamic blocks, lazy or
greedy parsing, match length filtering, RLE-only, and Huffman-only streams.
It performs and compresses
approximately as well as zlib.
Decompression: Use the "tinfl" API's. The entire decompressor is
implemented as a single function
coroutine: see tinfl_decompress(). It supports decompression into a 32KB
(or larger power of 2) wrapping buffer, or into a memory
block large enough to hold the entire file.
The low-level tdefl/tinfl API's do not make any use of dynamic memory
allocation.
* zlib-style API notes:
miniz.c implements a fairly large subset of zlib. There's enough
functionality present for it to be a drop-in
zlib replacement in many apps:
The z_stream struct, optional memory allocation callbacks
deflateInit/deflateInit2/deflate/deflateReset/deflateEnd/deflateBound
inflateInit/inflateInit2/inflate/inflateEnd
compress, compress2, compressBound, uncompress
CRC-32, Adler-32 - Using modern, minimal code size, CPU cache friendly
routines.
Supports raw deflate streams or standard zlib streams with adler-32
checking.
Limitations:
The callback API's are not implemented yet. No support for gzip headers or
zlib static dictionaries.
I've tried to closely emulate zlib's various flavors of stream flushing
and return status codes, but
there are no guarantees that miniz.c pulls this off perfectly.
* PNG writing: See the tdefl_write_image_to_png_file_in_memory() function,
originally written by
Alex Evans. Supports 1-4 bytes/pixel images.
* ZIP archive API notes:
The ZIP archive API's where designed with simplicity and efficiency in
mind, with just enough abstraction to
get the job done with minimal fuss. There are simple API's to retrieve file
information, read files from
existing archives, create new archives, append new files to existing
archives, or clone archive data from
one archive to another. It supports archives located in memory or the heap,
on disk (using stdio.h),
or you can specify custom file read/write callbacks.
- Archive reading: Just call this function to read a single file from a
disk archive:
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename, const
char *pArchive_name,
size_t *pSize, mz_uint zip_flags);
For more complex cases, use the "mz_zip_reader" functions. Upon opening an
archive, the entire central
directory is located and read as-is into memory, and subsequent file access
only occurs when reading individual files.
- Archives file scanning: The simple way is to use this function to scan a
loaded archive for a specific file:
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags);
The locate operation can optionally check file comments too, which (as one
example) can be used to identify
multiple versions of the same file in an archive. This function uses a
simple linear search through the central
directory, so it's not very fast.
Alternately, you can iterate through all the files in an archive (using
mz_zip_reader_get_num_files()) and
retrieve detailed info on each file by calling mz_zip_reader_file_stat().
- Archive creation: Use the "mz_zip_writer" functions. The ZIP writer
immediately writes compressed file data
to disk and builds an exact image of the central directory in memory. The
central directory image is written
all at once at the end of the archive file when the archive is finalized.
The archive writer can optionally align each file's local header and file
data to any power of 2 alignment,
which can be useful when the archive will be read from optical media. Also,
the writer supports placing
arbitrary data blobs at the very beginning of ZIP archives. Archives
written using either feature are still
readable by any ZIP tool.
- Archive appending: The simple way to add a single file to an archive is
to call this function:
mz_bool mz_zip_add_mem_to_archive_file_in_place(const char *pZip_filename,
const char *pArchive_name,
const void *pBuf, size_t buf_size, const void *pComment, mz_uint16
comment_size, mz_uint level_and_flags);
The archive will be created if it doesn't already exist, otherwise it'll be
appended to.
Note the appending is done in-place and is not an atomic operation, so if
something goes wrong
during the operation it's possible the archive could be left without a
central directory (although the local
file headers and file data will be fine, so the archive will be
recoverable).
For more complex archive modification scenarios:
1. The safest way is to use a mz_zip_reader to read the existing archive,
cloning only those bits you want to
preserve into a new archive using using the
mz_zip_writer_add_from_zip_reader() function (which compiles the
compressed file data as-is). When you're done, delete the old archive and
rename the newly written archive, and
you're done. This is safe but requires a bunch of temporary disk space or
heap memory.
2. Or, you can convert an mz_zip_reader in-place to an mz_zip_writer using
mz_zip_writer_init_from_reader(),
append new files as needed, then finalize the archive which will write an
updated central directory to the
original archive. (This is basically what
mz_zip_add_mem_to_archive_file_in_place() does.) There's a
possibility that the archive's central directory could be lost with this
method if anything goes wrong, though.
- ZIP archive support limitations:
No zip64 or spanning support. Extraction functions can only handle
unencrypted, stored or deflated files.
Requires streams capable of seeking.
* This is a header file library, like stb_image.c. To get only a header file,
either cut and paste the
below header, or create miniz.h, #define MINIZ_HEADER_FILE_ONLY, and then
include miniz.c from it.
* Important: For best perf. be sure to customize the below macros for your
target platform:
#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES 1
#define MINIZ_LITTLE_ENDIAN 1
#define MINIZ_HAS_64BIT_REGISTERS 1
* On platforms using glibc, Be sure to "#define _LARGEFILE64_SOURCE 1" before
including miniz.c to ensure miniz
uses the 64-bit variants: fopen64(), stat64(), etc. Otherwise you won't be
able to process large files
(i.e. 32-bit stat() fails for me on files > 0x7FFFFFFF bytes).
*/
#ifndef MINIZ_HEADER_INCLUDED
#define MINIZ_HEADER_INCLUDED
//#include <stdlib.h>
// Defines to completely disable specific portions of miniz.c:
// If all macros here are defined the only functionality remaining will be
// CRC-32, adler-32, tinfl, and tdefl.
// Define MINIZ_NO_STDIO to disable all usage and any functions which rely on
// stdio for file I/O.
//#define MINIZ_NO_STDIO
// If MINIZ_NO_TIME is specified then the ZIP archive functions will not be able
// to get the current time, or
// get/set file times, and the C run-time funcs that get/set times won't be
// called.
// The current downside is the times written to your archives will be from 1979.
#define MINIZ_NO_TIME
// Define MINIZ_NO_ARCHIVE_APIS to disable all ZIP archive API's.
#define MINIZ_NO_ARCHIVE_APIS
// Define MINIZ_NO_ARCHIVE_APIS to disable all writing related ZIP archive
// API's.
//#define MINIZ_NO_ARCHIVE_WRITING_APIS
// Define MINIZ_NO_ZLIB_APIS to remove all ZLIB-style compression/decompression
// API's.
//#define MINIZ_NO_ZLIB_APIS
// Define MINIZ_NO_ZLIB_COMPATIBLE_NAME to disable zlib names, to prevent
// conflicts against stock zlib.
//#define MINIZ_NO_ZLIB_COMPATIBLE_NAMES
// Define MINIZ_NO_MALLOC to disable all calls to malloc, free, and realloc.
// Note if MINIZ_NO_MALLOC is defined then the user must always provide custom
// user alloc/free/realloc
// callbacks to the zlib and archive API's, and a few stand-alone helper API's
// which don't provide custom user
// functions (such as tdefl_compress_mem_to_heap() and
// tinfl_decompress_mem_to_heap()) won't work.
//#define MINIZ_NO_MALLOC
#if defined(__TINYC__) && (defined(__linux) || defined(__linux__))
// TODO: Work around "error: include file 'sys\utime.h' when compiling with tcc
// on Linux
#define MINIZ_NO_TIME
#endif
#if !defined(MINIZ_NO_TIME) && !defined(MINIZ_NO_ARCHIVE_APIS)
//#include <time.h>
#endif
#if defined(_M_IX86) || defined(_M_X64) || defined(__i386__) || \
defined(__i386) || defined(__i486__) || defined(__i486) || \
defined(i386) || defined(__ia64__) || defined(__x86_64__)
// MINIZ_X86_OR_X64_CPU is only used to help set the below macros.
#define MINIZ_X86_OR_X64_CPU 1
#endif
#if defined(__sparcv9)
// Big endian
#else
#if (__BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__) || MINIZ_X86_OR_X64_CPU
// Set MINIZ_LITTLE_ENDIAN to 1 if the processor is little endian.
#define MINIZ_LITTLE_ENDIAN 1
#endif
#endif
#if MINIZ_X86_OR_X64_CPU
// Set MINIZ_USE_UNALIGNED_LOADS_AND_STORES to 1 on CPU's that permit efficient
// integer loads and stores from unaligned addresses.
//#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES 1
#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES \
0 // disable to suppress compiler warnings
#endif
#if defined(_M_X64) || defined(_WIN64) || defined(__MINGW64__) || \
defined(_LP64) || defined(__LP64__) || defined(__ia64__) || \
defined(__x86_64__)
// Set MINIZ_HAS_64BIT_REGISTERS to 1 if operations on 64-bit integers are
// reasonably fast (and don't involve compiler generated calls to helper
// functions).
#define MINIZ_HAS_64BIT_REGISTERS 1
#endif
#ifdef __cplusplus
extern "C" {
#endif
// ------------------- zlib-style API Definitions.
// For more compatibility with zlib, miniz.c uses unsigned long for some
// parameters/struct members. Beware: mz_ulong can be either 32 or 64-bits!
typedef unsigned long mz_ulong;
// mz_free() internally uses the MZ_FREE() macro (which by default calls free()
// unless you've modified the MZ_MALLOC macro) to release a block allocated from
// the heap.
void mz_free(void *p);
#define MZ_ADLER32_INIT (1)
// mz_adler32() returns the initial adler-32 value to use when called with
// ptr==NULL.
mz_ulong mz_adler32(mz_ulong adler, const unsigned char *ptr, size_t buf_len);
#define MZ_CRC32_INIT (0)
// mz_crc32() returns the initial CRC-32 value to use when called with
// ptr==NULL.
mz_ulong mz_crc32(mz_ulong crc, const unsigned char *ptr, size_t buf_len);
// Compression strategies.
enum {
MZ_DEFAULT_STRATEGY = 0,
MZ_FILTERED = 1,
MZ_HUFFMAN_ONLY = 2,
MZ_RLE = 3,
MZ_FIXED = 4
};
// Method
#define MZ_DEFLATED 8
#ifndef MINIZ_NO_ZLIB_APIS
// Heap allocation callbacks.
// Note that mz_alloc_func parameter types purpsosely differ from zlib's:
// items/size is size_t, not unsigned long.
typedef void *(*mz_alloc_func)(void *opaque, size_t items, size_t size);
typedef void (*mz_free_func)(void *opaque, void *address);
typedef void *(*mz_realloc_func)(void *opaque, void *address, size_t items,
size_t size);
#define MZ_VERSION "9.1.15"
#define MZ_VERNUM 0x91F0
#define MZ_VER_MAJOR 9
#define MZ_VER_MINOR 1
#define MZ_VER_REVISION 15
#define MZ_VER_SUBREVISION 0
// Flush values. For typical usage you only need MZ_NO_FLUSH and MZ_FINISH. The
// other values are for advanced use (refer to the zlib docs).
enum {
MZ_NO_FLUSH = 0,
MZ_PARTIAL_FLUSH = 1,
MZ_SYNC_FLUSH = 2,
MZ_FULL_FLUSH = 3,
MZ_FINISH = 4,
MZ_BLOCK = 5
};
// Return status codes. MZ_PARAM_ERROR is non-standard.
enum {
MZ_OK = 0,
MZ_STREAM_END = 1,
MZ_NEED_DICT = 2,
MZ_ERRNO = -1,
MZ_STREAM_ERROR = -2,
MZ_DATA_ERROR = -3,
MZ_MEM_ERROR = -4,
MZ_BUF_ERROR = -5,
MZ_VERSION_ERROR = -6,
MZ_PARAM_ERROR = -10000
};
// Compression levels: 0-9 are the standard zlib-style levels, 10 is best
// possible compression (not zlib compatible, and may be very slow),
// MZ_DEFAULT_COMPRESSION=MZ_DEFAULT_LEVEL.
enum {
MZ_NO_COMPRESSION = 0,
MZ_BEST_SPEED = 1,
MZ_BEST_COMPRESSION = 9,
MZ_UBER_COMPRESSION = 10,
MZ_DEFAULT_LEVEL = 6,
MZ_DEFAULT_COMPRESSION = -1
};
// Window bits
#define MZ_DEFAULT_WINDOW_BITS 15
struct mz_internal_state;
// Compression/decompression stream struct.
typedef struct mz_stream_s {
const unsigned char *next_in; // pointer to next byte to read
unsigned int avail_in; // number of bytes available at next_in
mz_ulong total_in; // total number of bytes consumed so far
unsigned char *next_out; // pointer to next byte to write
unsigned int avail_out; // number of bytes that can be written to next_out
mz_ulong total_out; // total number of bytes produced so far
char *msg; // error msg (unused)
struct mz_internal_state *state; // internal state, allocated by zalloc/zfree
mz_alloc_func
zalloc; // optional heap allocation function (defaults to malloc)
mz_free_func zfree; // optional heap free function (defaults to free)
void *opaque; // heap alloc function user pointer
int data_type; // data_type (unused)
mz_ulong adler; // adler32 of the source or uncompressed data
mz_ulong reserved; // not used
} mz_stream;
typedef mz_stream *mz_streamp;
// Returns the version string of miniz.c.
const char *mz_version(void);
// mz_deflateInit() initializes a compressor with default options:
// Parameters:
// pStream must point to an initialized mz_stream struct.
// level must be between [MZ_NO_COMPRESSION, MZ_BEST_COMPRESSION].
// level 1 enables a specially optimized compression function that's been
// optimized purely for performance, not ratio.
// (This special func. is currently only enabled when
// MINIZ_USE_UNALIGNED_LOADS_AND_STORES and MINIZ_LITTLE_ENDIAN are defined.)
// Return values:
// MZ_OK on success.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_PARAM_ERROR if the input parameters are bogus.
// MZ_MEM_ERROR on out of memory.
int mz_deflateInit(mz_streamp pStream, int level);
// mz_deflateInit2() is like mz_deflate(), except with more control:
// Additional parameters:
// method must be MZ_DEFLATED
// window_bits must be MZ_DEFAULT_WINDOW_BITS (to wrap the deflate stream with
// zlib header/adler-32 footer) or -MZ_DEFAULT_WINDOW_BITS (raw deflate/no
// header or footer)
// mem_level must be between [1, 9] (it's checked but ignored by miniz.c)
int mz_deflateInit2(mz_streamp pStream, int level, int method, int window_bits,
int mem_level, int strategy);
// Quickly resets a compressor without having to reallocate anything. Same as
// calling mz_deflateEnd() followed by mz_deflateInit()/mz_deflateInit2().
int mz_deflateReset(mz_streamp pStream);
// mz_deflate() compresses the input to output, consuming as much of the input
// and producing as much output as possible.
// Parameters:
// pStream is the stream to read from and write to. You must initialize/update
// the next_in, avail_in, next_out, and avail_out members.
// flush may be MZ_NO_FLUSH, MZ_PARTIAL_FLUSH/MZ_SYNC_FLUSH, MZ_FULL_FLUSH, or
// MZ_FINISH.
// Return values:
// MZ_OK on success (when flushing, or if more input is needed but not
// available, and/or there's more output to be written but the output buffer
// is full).
// MZ_STREAM_END if all input has been consumed and all output bytes have been
// written. Don't call mz_deflate() on the stream anymore.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_PARAM_ERROR if one of the parameters is invalid.
// MZ_BUF_ERROR if no forward progress is possible because the input and/or
// output buffers are empty. (Fill up the input buffer or free up some output
// space and try again.)
int mz_deflate(mz_streamp pStream, int flush);
// mz_deflateEnd() deinitializes a compressor:
// Return values:
// MZ_OK on success.
// MZ_STREAM_ERROR if the stream is bogus.
int mz_deflateEnd(mz_streamp pStream);
// mz_deflateBound() returns a (very) conservative upper bound on the amount of
// data that could be generated by deflate(), assuming flush is set to only
// MZ_NO_FLUSH or MZ_FINISH.
mz_ulong mz_deflateBound(mz_streamp pStream, mz_ulong source_len);
// Single-call compression functions mz_compress() and mz_compress2():
// Returns MZ_OK on success, or one of the error codes from mz_deflate() on
// failure.
int mz_compress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len);
int mz_compress2(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len, int level);
// mz_compressBound() returns a (very) conservative upper bound on the amount of
// data that could be generated by calling mz_compress().
mz_ulong mz_compressBound(mz_ulong source_len);
// Initializes a decompressor.
int mz_inflateInit(mz_streamp pStream);
// mz_inflateInit2() is like mz_inflateInit() with an additional option that
// controls the window size and whether or not the stream has been wrapped with
// a zlib header/footer:
// window_bits must be MZ_DEFAULT_WINDOW_BITS (to parse zlib header/footer) or
// -MZ_DEFAULT_WINDOW_BITS (raw deflate).
int mz_inflateInit2(mz_streamp pStream, int window_bits);
// Decompresses the input stream to the output, consuming only as much of the
// input as needed, and writing as much to the output as possible.
// Parameters:
// pStream is the stream to read from and write to. You must initialize/update
// the next_in, avail_in, next_out, and avail_out members.
// flush may be MZ_NO_FLUSH, MZ_SYNC_FLUSH, or MZ_FINISH.
// On the first call, if flush is MZ_FINISH it's assumed the input and output
// buffers are both sized large enough to decompress the entire stream in a
// single call (this is slightly faster).
// MZ_FINISH implies that there are no more source bytes available beside
// what's already in the input buffer, and that the output buffer is large
// enough to hold the rest of the decompressed data.
// Return values:
// MZ_OK on success. Either more input is needed but not available, and/or
// there's more output to be written but the output buffer is full.
// MZ_STREAM_END if all needed input has been consumed and all output bytes
// have been written. For zlib streams, the adler-32 of the decompressed data
// has also been verified.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_DATA_ERROR if the deflate stream is invalid.
// MZ_PARAM_ERROR if one of the parameters is invalid.
// MZ_BUF_ERROR if no forward progress is possible because the input buffer is
// empty but the inflater needs more input to continue, or if the output
// buffer is not large enough. Call mz_inflate() again
// with more input data, or with more room in the output buffer (except when
// using single call decompression, described above).
int mz_inflate(mz_streamp pStream, int flush);
// Deinitializes a decompressor.
int mz_inflateEnd(mz_streamp pStream);
// Single-call decompression.
// Returns MZ_OK on success, or one of the error codes from mz_inflate() on
// failure.
int mz_uncompress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len);
// Returns a string description of the specified error code, or NULL if the
// error code is invalid.
const char *mz_error(int err);
// Redefine zlib-compatible names to miniz equivalents, so miniz.c can be used
// as a drop-in replacement for the subset of zlib that miniz.c supports.
// Define MINIZ_NO_ZLIB_COMPATIBLE_NAMES to disable zlib-compatibility if you
// use zlib in the same project.
#ifndef MINIZ_NO_ZLIB_COMPATIBLE_NAMES
typedef unsigned char Byte;
typedef unsigned int uInt;
typedef mz_ulong uLong;
typedef Byte Bytef;
typedef uInt uIntf;
typedef char charf;
typedef int intf;
typedef void *voidpf;
typedef uLong uLongf;
typedef void *voidp;
typedef void *const voidpc;
#define Z_NULL 0
#define Z_NO_FLUSH MZ_NO_FLUSH
#define Z_PARTIAL_FLUSH MZ_PARTIAL_FLUSH
#define Z_SYNC_FLUSH MZ_SYNC_FLUSH
#define Z_FULL_FLUSH MZ_FULL_FLUSH
#define Z_FINISH MZ_FINISH
#define Z_BLOCK MZ_BLOCK
#define Z_OK MZ_OK
#define Z_STREAM_END MZ_STREAM_END
#define Z_NEED_DICT MZ_NEED_DICT
#define Z_ERRNO MZ_ERRNO
#define Z_STREAM_ERROR MZ_STREAM_ERROR
#define Z_DATA_ERROR MZ_DATA_ERROR
#define Z_MEM_ERROR MZ_MEM_ERROR
#define Z_BUF_ERROR MZ_BUF_ERROR
#define Z_VERSION_ERROR MZ_VERSION_ERROR
#define Z_PARAM_ERROR MZ_PARAM_ERROR
#define Z_NO_COMPRESSION MZ_NO_COMPRESSION
#define Z_BEST_SPEED MZ_BEST_SPEED
#define Z_BEST_COMPRESSION MZ_BEST_COMPRESSION
#define Z_DEFAULT_COMPRESSION MZ_DEFAULT_COMPRESSION
#define Z_DEFAULT_STRATEGY MZ_DEFAULT_STRATEGY
#define Z_FILTERED MZ_FILTERED
#define Z_HUFFMAN_ONLY MZ_HUFFMAN_ONLY
#define Z_RLE MZ_RLE
#define Z_FIXED MZ_FIXED
#define Z_DEFLATED MZ_DEFLATED
#define Z_DEFAULT_WINDOW_BITS MZ_DEFAULT_WINDOW_BITS
#define alloc_func mz_alloc_func
#define free_func mz_free_func
#define internal_state mz_internal_state
#define z_stream mz_stream
#define deflateInit mz_deflateInit
#define deflateInit2 mz_deflateInit2
#define deflateReset mz_deflateReset
#define deflate mz_deflate
#define deflateEnd mz_deflateEnd
#define deflateBound mz_deflateBound
#define compress mz_compress
#define compress2 mz_compress2
#define compressBound mz_compressBound
#define inflateInit mz_inflateInit
#define inflateInit2 mz_inflateInit2
#define inflate mz_inflate
#define inflateEnd mz_inflateEnd
#define uncompress mz_uncompress
#define crc32 mz_crc32
#define adler32 mz_adler32
#define MAX_WBITS 15
#define MAX_MEM_LEVEL 9
#define zError mz_error
#define ZLIB_VERSION MZ_VERSION
#define ZLIB_VERNUM MZ_VERNUM
#define ZLIB_VER_MAJOR MZ_VER_MAJOR
#define ZLIB_VER_MINOR MZ_VER_MINOR
#define ZLIB_VER_REVISION MZ_VER_REVISION
#define ZLIB_VER_SUBREVISION MZ_VER_SUBREVISION
#define zlibVersion mz_version
#define zlib_version mz_version()
#endif // #ifndef MINIZ_NO_ZLIB_COMPATIBLE_NAMES
#endif // MINIZ_NO_ZLIB_APIS
// ------------------- Types and macros
typedef unsigned char mz_uint8;
typedef signed short mz_int16;
typedef unsigned short mz_uint16;
typedef unsigned int mz_uint32;
typedef unsigned int mz_uint;
typedef long long mz_int64;
typedef unsigned long long mz_uint64;
typedef int mz_bool;
#define MZ_FALSE (0)
#define MZ_TRUE (1)
// An attempt to work around MSVC's spammy "warning C4127: conditional
// expression is constant" message.
#ifdef _MSC_VER
#define MZ_MACRO_END while (0, 0)
#else
#define MZ_MACRO_END while (0)
#endif
// ------------------- ZIP archive reading/writing
#ifndef MINIZ_NO_ARCHIVE_APIS
enum {
MZ_ZIP_MAX_IO_BUF_SIZE = 64 * 1024,
MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE = 260,
MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE = 256
};
typedef struct {
mz_uint32 m_file_index;
mz_uint32 m_central_dir_ofs;
mz_uint16 m_version_made_by;
mz_uint16 m_version_needed;
mz_uint16 m_bit_flag;
mz_uint16 m_method;
#ifndef MINIZ_NO_TIME
time_t m_time;
#endif
mz_uint32 m_crc32;
mz_uint64 m_comp_size;
mz_uint64 m_uncomp_size;
mz_uint16 m_internal_attr;
mz_uint32 m_external_attr;
mz_uint64 m_local_header_ofs;
mz_uint32 m_comment_size;
char m_filename[MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE];
char m_comment[MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE];
} mz_zip_archive_file_stat;
typedef size_t (*mz_file_read_func)(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n);
typedef size_t (*mz_file_write_func)(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n);
struct mz_zip_internal_state_tag;
typedef struct mz_zip_internal_state_tag mz_zip_internal_state;
typedef enum {
MZ_ZIP_MODE_INVALID = 0,
MZ_ZIP_MODE_READING = 1,
MZ_ZIP_MODE_WRITING = 2,
MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED = 3
} mz_zip_mode;
typedef struct mz_zip_archive_tag {
mz_uint64 m_archive_size;
mz_uint64 m_central_directory_file_ofs;
mz_uint m_total_files;
mz_zip_mode m_zip_mode;
mz_uint m_file_offset_alignment;
mz_alloc_func m_pAlloc;
mz_free_func m_pFree;
mz_realloc_func m_pRealloc;
void *m_pAlloc_opaque;
mz_file_read_func m_pRead;
mz_file_write_func m_pWrite;
void *m_pIO_opaque;
mz_zip_internal_state *m_pState;
} mz_zip_archive;
typedef enum {
MZ_ZIP_FLAG_CASE_SENSITIVE = 0x0100,
MZ_ZIP_FLAG_IGNORE_PATH = 0x0200,
MZ_ZIP_FLAG_COMPRESSED_DATA = 0x0400,
MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY = 0x0800
} mz_zip_flags;
// ZIP archive reading
// Inits a ZIP archive reader.
// These functions read and validate the archive's central directory.
mz_bool mz_zip_reader_init(mz_zip_archive *pZip, mz_uint64 size,
mz_uint32 flags);
mz_bool mz_zip_reader_init_mem(mz_zip_archive *pZip, const void *pMem,
size_t size, mz_uint32 flags);
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint32 flags);
#endif
// Returns the total number of files in the archive.
mz_uint mz_zip_reader_get_num_files(mz_zip_archive *pZip);
// Returns detailed information about an archive file entry.
mz_bool mz_zip_reader_file_stat(mz_zip_archive *pZip, mz_uint file_index,
mz_zip_archive_file_stat *pStat);
// Determines if an archive file entry is a directory entry.
mz_bool mz_zip_reader_is_file_a_directory(mz_zip_archive *pZip,
mz_uint file_index);
mz_bool mz_zip_reader_is_file_encrypted(mz_zip_archive *pZip,
mz_uint file_index);
// Retrieves the filename of an archive file entry.
// Returns the number of bytes written to pFilename, or if filename_buf_size is
// 0 this function returns the number of bytes needed to fully store the
// filename.
mz_uint mz_zip_reader_get_filename(mz_zip_archive *pZip, mz_uint file_index,
char *pFilename, mz_uint filename_buf_size);
// Attempts to locates a file in the archive's central directory.
// Valid flags: MZ_ZIP_FLAG_CASE_SENSITIVE, MZ_ZIP_FLAG_IGNORE_PATH
// Returns -1 if the file cannot be found.
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags);
// Extracts a archive file to a memory buffer using no memory allocation.
mz_bool mz_zip_reader_extract_to_mem_no_alloc(mz_zip_archive *pZip,
mz_uint file_index, void *pBuf,
size_t buf_size, mz_uint flags,
void *pUser_read_buf,
size_t user_read_buf_size);
mz_bool mz_zip_reader_extract_file_to_mem_no_alloc(
mz_zip_archive *pZip, const char *pFilename, void *pBuf, size_t buf_size,
mz_uint flags, void *pUser_read_buf, size_t user_read_buf_size);
// Extracts a archive file to a memory buffer.
mz_bool mz_zip_reader_extract_to_mem(mz_zip_archive *pZip, mz_uint file_index,
void *pBuf, size_t buf_size,
mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_mem(mz_zip_archive *pZip,
const char *pFilename, void *pBuf,
size_t buf_size, mz_uint flags);
// Extracts a archive file to a dynamically allocated heap buffer.
void *mz_zip_reader_extract_to_heap(mz_zip_archive *pZip, mz_uint file_index,
size_t *pSize, mz_uint flags);
void *mz_zip_reader_extract_file_to_heap(mz_zip_archive *pZip,
const char *pFilename, size_t *pSize,
mz_uint flags);
// Extracts a archive file using a callback function to output the file's data.
mz_bool mz_zip_reader_extract_to_callback(mz_zip_archive *pZip,
mz_uint file_index,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_callback(mz_zip_archive *pZip,
const char *pFilename,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags);
#ifndef MINIZ_NO_STDIO
// Extracts a archive file to a disk file and sets its last accessed and
// modified times.
// This function only extracts files, not archive directory records.
mz_bool mz_zip_reader_extract_to_file(mz_zip_archive *pZip, mz_uint file_index,
const char *pDst_filename, mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_file(mz_zip_archive *pZip,
const char *pArchive_filename,
const char *pDst_filename,
mz_uint flags);
#endif
// Ends archive reading, freeing all allocations, and closing the input archive
// file if mz_zip_reader_init_file() was used.
mz_bool mz_zip_reader_end(mz_zip_archive *pZip);
// ZIP archive writing
#ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
// Inits a ZIP archive writer.
mz_bool mz_zip_writer_init(mz_zip_archive *pZip, mz_uint64 existing_size);
mz_bool mz_zip_writer_init_heap(mz_zip_archive *pZip,
size_t size_to_reserve_at_beginning,
size_t initial_allocation_size);
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint64 size_to_reserve_at_beginning);
#endif
// Converts a ZIP archive reader object into a writer object, to allow efficient
// in-place file appends to occur on an existing archive.
// For archives opened using mz_zip_reader_init_file, pFilename must be the
// archive's filename so it can be reopened for writing. If the file can't be
// reopened, mz_zip_reader_end() will be called.
// For archives opened using mz_zip_reader_init_mem, the memory block must be
// growable using the realloc callback (which defaults to realloc unless you've
// overridden it).
// Finally, for archives opened using mz_zip_reader_init, the mz_zip_archive's
// user provided m_pWrite function cannot be NULL.
// Note: In-place archive modification is not recommended unless you know what
// you're doing, because if execution stops or something goes wrong before
// the archive is finalized the file's central directory will be hosed.
mz_bool mz_zip_writer_init_from_reader(mz_zip_archive *pZip,
const char *pFilename);
// Adds the contents of a memory buffer to an archive. These functions record
// the current local time into the archive.
// To add a directory entry, call this method with an archive name ending in a
// forwardslash with empty buffer.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_writer_add_mem(mz_zip_archive *pZip, const char *pArchive_name,
const void *pBuf, size_t buf_size,
mz_uint level_and_flags);
mz_bool mz_zip_writer_add_mem_ex(mz_zip_archive *pZip,
const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags, mz_uint64 uncomp_size,
mz_uint32 uncomp_crc32);
#ifndef MINIZ_NO_STDIO
// Adds the contents of a disk file to an archive. This function also records
// the disk file's modified time into the archive.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_writer_add_file(mz_zip_archive *pZip, const char *pArchive_name,
const char *pSrc_filename, const void *pComment,
mz_uint16 comment_size, mz_uint level_and_flags);
#endif
// Adds a file to an archive by fully cloning the data from another archive.
// This function fully clones the source file's compressed data (no
// recompression), along with its full filename, extra data, and comment fields.
mz_bool mz_zip_writer_add_from_zip_reader(mz_zip_archive *pZip,
mz_zip_archive *pSource_zip,
mz_uint file_index);
// Finalizes the archive by writing the central directory records followed by
// the end of central directory record.
// After an archive is finalized, the only valid call on the mz_zip_archive
// struct is mz_zip_writer_end().
// An archive must be manually finalized by calling this function for it to be
// valid.
mz_bool mz_zip_writer_finalize_archive(mz_zip_archive *pZip);
mz_bool mz_zip_writer_finalize_heap_archive(mz_zip_archive *pZip, void **pBuf,
size_t *pSize);
// Ends archive writing, freeing all allocations, and closing the output file if
// mz_zip_writer_init_file() was used.
// Note for the archive to be valid, it must have been finalized before ending.
mz_bool mz_zip_writer_end(mz_zip_archive *pZip);
// Misc. high-level helper functions:
// mz_zip_add_mem_to_archive_file_in_place() efficiently (but not atomically)
// appends a memory blob to a ZIP archive.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_add_mem_to_archive_file_in_place(
const char *pZip_filename, const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment, mz_uint16 comment_size,
mz_uint level_and_flags);
// Reads a single file from an archive into a heap block.
// Returns NULL on failure.
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename,
const char *pArchive_name,
size_t *pSize, mz_uint zip_flags);
#endif // #ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
#endif // #ifndef MINIZ_NO_ARCHIVE_APIS
// ------------------- Low-level Decompression API Definitions
// Decompression flags used by tinfl_decompress().
// TINFL_FLAG_PARSE_ZLIB_HEADER: If set, the input has a valid zlib header and
// ends with an adler32 checksum (it's a valid zlib stream). Otherwise, the
// input is a raw deflate stream.
// TINFL_FLAG_HAS_MORE_INPUT: If set, there are more input bytes available
// beyond the end of the supplied input buffer. If clear, the input buffer
// contains all remaining input.
// TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF: If set, the output buffer is large
// enough to hold the entire decompressed stream. If clear, the output buffer is
// at least the size of the dictionary (typically 32KB).
// TINFL_FLAG_COMPUTE_ADLER32: Force adler-32 checksum computation of the
// decompressed bytes.
enum {
TINFL_FLAG_PARSE_ZLIB_HEADER = 1,
TINFL_FLAG_HAS_MORE_INPUT = 2,
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF = 4,
TINFL_FLAG_COMPUTE_ADLER32 = 8
};
// High level decompression functions:
// tinfl_decompress_mem_to_heap() decompresses a block in memory to a heap block
// allocated via malloc().
// On entry:
// pSrc_buf, src_buf_len: Pointer and size of the Deflate or zlib source data
// to decompress.
// On return:
// Function returns a pointer to the decompressed data, or NULL on failure.
// *pOut_len will be set to the decompressed data's size, which could be larger
// than src_buf_len on uncompressible data.
// The caller must call mz_free() on the returned block when it's no longer
// needed.
void *tinfl_decompress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags);
// tinfl_decompress_mem_to_mem() decompresses a block in memory to another block
// in memory.
// Returns TINFL_DECOMPRESS_MEM_TO_MEM_FAILED on failure, or the number of bytes
// written on success.
#define TINFL_DECOMPRESS_MEM_TO_MEM_FAILED ((size_t)(-1))
size_t tinfl_decompress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags);
// tinfl_decompress_mem_to_callback() decompresses a block in memory to an
// internal 32KB buffer, and a user provided callback function will be called to
// flush the buffer.
// Returns 1 on success or 0 on failure.
typedef int (*tinfl_put_buf_func_ptr)(const void *pBuf, int len, void *pUser);
int tinfl_decompress_mem_to_callback(const void *pIn_buf, size_t *pIn_buf_size,
tinfl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
struct tinfl_decompressor_tag;
typedef struct tinfl_decompressor_tag tinfl_decompressor;
// Max size of LZ dictionary.
#define TINFL_LZ_DICT_SIZE 32768
// Return status.
typedef enum {
TINFL_STATUS_BAD_PARAM = -3,
TINFL_STATUS_ADLER32_MISMATCH = -2,
TINFL_STATUS_FAILED = -1,
TINFL_STATUS_DONE = 0,
TINFL_STATUS_NEEDS_MORE_INPUT = 1,
TINFL_STATUS_HAS_MORE_OUTPUT = 2
} tinfl_status;
// Initializes the decompressor to its initial state.
#define tinfl_init(r) \
do { \
(r)->m_state = 0; \
} \
MZ_MACRO_END
#define tinfl_get_adler32(r) (r)->m_check_adler32
// Main low-level decompressor coroutine function. This is the only function
// actually needed for decompression. All the other functions are just
// high-level helpers for improved usability.
// This is a universal API, i.e. it can be used as a building block to build any
// desired higher level decompression API. In the limit case, it can be called
// once per every byte input or output.
tinfl_status tinfl_decompress(tinfl_decompressor *r,
const mz_uint8 *pIn_buf_next,
size_t *pIn_buf_size, mz_uint8 *pOut_buf_start,
mz_uint8 *pOut_buf_next, size_t *pOut_buf_size,
const mz_uint32 decomp_flags);
// Internal/private bits follow.
enum {
TINFL_MAX_HUFF_TABLES = 3,
TINFL_MAX_HUFF_SYMBOLS_0 = 288,
TINFL_MAX_HUFF_SYMBOLS_1 = 32,
TINFL_MAX_HUFF_SYMBOLS_2 = 19,
TINFL_FAST_LOOKUP_BITS = 10,
TINFL_FAST_LOOKUP_SIZE = 1 << TINFL_FAST_LOOKUP_BITS
};
typedef struct {
mz_uint8 m_code_size[TINFL_MAX_HUFF_SYMBOLS_0];
mz_int16 m_look_up[TINFL_FAST_LOOKUP_SIZE],
m_tree[TINFL_MAX_HUFF_SYMBOLS_0 * 2];
} tinfl_huff_table;
#if MINIZ_HAS_64BIT_REGISTERS
#define TINFL_USE_64BIT_BITBUF 1
#endif
#if TINFL_USE_64BIT_BITBUF
typedef mz_uint64 tinfl_bit_buf_t;
#define TINFL_BITBUF_SIZE (64)
#else
typedef mz_uint32 tinfl_bit_buf_t;
#define TINFL_BITBUF_SIZE (32)
#endif
struct tinfl_decompressor_tag {
mz_uint32 m_state, m_num_bits, m_zhdr0, m_zhdr1, m_z_adler32, m_final, m_type,
m_check_adler32, m_dist, m_counter, m_num_extra,
m_table_sizes[TINFL_MAX_HUFF_TABLES];
tinfl_bit_buf_t m_bit_buf;
size_t m_dist_from_out_buf_start;
tinfl_huff_table m_tables[TINFL_MAX_HUFF_TABLES];
mz_uint8 m_raw_header[4],
m_len_codes[TINFL_MAX_HUFF_SYMBOLS_0 + TINFL_MAX_HUFF_SYMBOLS_1 + 137];
};
// ------------------- Low-level Compression API Definitions
// Set TDEFL_LESS_MEMORY to 1 to use less memory (compression will be slightly
// slower, and raw/dynamic blocks will be output more frequently).
#define TDEFL_LESS_MEMORY 0
// tdefl_init() compression flags logically OR'd together (low 12 bits contain
// the max. number of probes per dictionary search):
// TDEFL_DEFAULT_MAX_PROBES: The compressor defaults to 128 dictionary probes
// per dictionary search. 0=Huffman only, 1=Huffman+LZ (fastest/crap
// compression), 4095=Huffman+LZ (slowest/best compression).
enum {
TDEFL_HUFFMAN_ONLY = 0,
TDEFL_DEFAULT_MAX_PROBES = 128,
TDEFL_MAX_PROBES_MASK = 0xFFF
};
// TDEFL_WRITE_ZLIB_HEADER: If set, the compressor outputs a zlib header before
// the deflate data, and the Adler-32 of the source data at the end. Otherwise,
// you'll get raw deflate data.
// TDEFL_COMPUTE_ADLER32: Always compute the adler-32 of the input data (even
// when not writing zlib headers).
// TDEFL_GREEDY_PARSING_FLAG: Set to use faster greedy parsing, instead of more
// efficient lazy parsing.
// TDEFL_NONDETERMINISTIC_PARSING_FLAG: Enable to decrease the compressor's
// initialization time to the minimum, but the output may vary from run to run
// given the same input (depending on the contents of memory).
// TDEFL_RLE_MATCHES: Only look for RLE matches (matches with a distance of 1)
// TDEFL_FILTER_MATCHES: Discards matches <= 5 chars if enabled.
// TDEFL_FORCE_ALL_STATIC_BLOCKS: Disable usage of optimized Huffman tables.
// TDEFL_FORCE_ALL_RAW_BLOCKS: Only use raw (uncompressed) deflate blocks.
// The low 12 bits are reserved to control the max # of hash probes per
// dictionary lookup (see TDEFL_MAX_PROBES_MASK).
enum {
TDEFL_WRITE_ZLIB_HEADER = 0x01000,
TDEFL_COMPUTE_ADLER32 = 0x02000,
TDEFL_GREEDY_PARSING_FLAG = 0x04000,
TDEFL_NONDETERMINISTIC_PARSING_FLAG = 0x08000,
TDEFL_RLE_MATCHES = 0x10000,
TDEFL_FILTER_MATCHES = 0x20000,
TDEFL_FORCE_ALL_STATIC_BLOCKS = 0x40000,
TDEFL_FORCE_ALL_RAW_BLOCKS = 0x80000
};
// High level compression functions:
// tdefl_compress_mem_to_heap() compresses a block in memory to a heap block
// allocated via malloc().
// On entry:
// pSrc_buf, src_buf_len: Pointer and size of source block to compress.
// flags: The max match finder probes (default is 128) logically OR'd against
// the above flags. Higher probes are slower but improve compression.
// On return:
// Function returns a pointer to the compressed data, or NULL on failure.
// *pOut_len will be set to the compressed data's size, which could be larger
// than src_buf_len on uncompressible data.
// The caller must free() the returned block when it's no longer needed.
void *tdefl_compress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags);
// tdefl_compress_mem_to_mem() compresses a block in memory to another block in
// memory.
// Returns 0 on failure.
size_t tdefl_compress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags);
// Compresses an image to a compressed PNG file in memory.
// On entry:
// pImage, w, h, and num_chans describe the image to compress. num_chans may be
// 1, 2, 3, or 4.
// The image pitch in bytes per scanline will be w*num_chans. The leftmost
// pixel on the top scanline is stored first in memory.
// level may range from [0,10], use MZ_NO_COMPRESSION, MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc. or a decent default is MZ_DEFAULT_LEVEL
// If flip is true, the image will be flipped on the Y axis (useful for OpenGL
// apps).
// On return:
// Function returns a pointer to the compressed data, or NULL on failure.
// *pLen_out will be set to the size of the PNG image file.
// The caller must mz_free() the returned heap block (which will typically be
// larger than *pLen_out) when it's no longer needed.
void *tdefl_write_image_to_png_file_in_memory_ex(const void *pImage, int w,
int h, int num_chans,
size_t *pLen_out,
mz_uint level, mz_bool flip);
void *tdefl_write_image_to_png_file_in_memory(const void *pImage, int w, int h,
int num_chans, size_t *pLen_out);
// Output stream interface. The compressor uses this interface to write
// compressed data. It'll typically be called TDEFL_OUT_BUF_SIZE at a time.
typedef mz_bool (*tdefl_put_buf_func_ptr)(const void *pBuf, int len,
void *pUser);
// tdefl_compress_mem_to_output() compresses a block to an output stream. The
// above helpers use this function internally.
mz_bool tdefl_compress_mem_to_output(const void *pBuf, size_t buf_len,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
enum {
TDEFL_MAX_HUFF_TABLES = 3,
TDEFL_MAX_HUFF_SYMBOLS_0 = 288,
TDEFL_MAX_HUFF_SYMBOLS_1 = 32,
TDEFL_MAX_HUFF_SYMBOLS_2 = 19,
TDEFL_LZ_DICT_SIZE = 32768,
TDEFL_LZ_DICT_SIZE_MASK = TDEFL_LZ_DICT_SIZE - 1,
TDEFL_MIN_MATCH_LEN = 3,
TDEFL_MAX_MATCH_LEN = 258
};
// TDEFL_OUT_BUF_SIZE MUST be large enough to hold a single entire compressed
// output block (using static/fixed Huffman codes).
#if TDEFL_LESS_MEMORY
enum {
TDEFL_LZ_CODE_BUF_SIZE = 24 * 1024,
TDEFL_OUT_BUF_SIZE = (TDEFL_LZ_CODE_BUF_SIZE * 13) / 10,
TDEFL_MAX_HUFF_SYMBOLS = 288,
TDEFL_LZ_HASH_BITS = 12,
TDEFL_LEVEL1_HASH_SIZE_MASK = 4095,
TDEFL_LZ_HASH_SHIFT = (TDEFL_LZ_HASH_BITS + 2) / 3,
TDEFL_LZ_HASH_SIZE = 1 << TDEFL_LZ_HASH_BITS
};
#else
enum {
TDEFL_LZ_CODE_BUF_SIZE = 64 * 1024,
TDEFL_OUT_BUF_SIZE = (TDEFL_LZ_CODE_BUF_SIZE * 13) / 10,
TDEFL_MAX_HUFF_SYMBOLS = 288,
TDEFL_LZ_HASH_BITS = 15,
TDEFL_LEVEL1_HASH_SIZE_MASK = 4095,
TDEFL_LZ_HASH_SHIFT = (TDEFL_LZ_HASH_BITS + 2) / 3,
TDEFL_LZ_HASH_SIZE = 1 << TDEFL_LZ_HASH_BITS
};
#endif
// The low-level tdefl functions below may be used directly if the above helper
// functions aren't flexible enough. The low-level functions don't make any heap
// allocations, unlike the above helper functions.
typedef enum {
TDEFL_STATUS_BAD_PARAM = -2,
TDEFL_STATUS_PUT_BUF_FAILED = -1,
TDEFL_STATUS_OKAY = 0,
TDEFL_STATUS_DONE = 1
} tdefl_status;
// Must map to MZ_NO_FLUSH, MZ_SYNC_FLUSH, etc. enums
typedef enum {
TDEFL_NO_FLUSH = 0,
TDEFL_SYNC_FLUSH = 2,
TDEFL_FULL_FLUSH = 3,
TDEFL_FINISH = 4
} tdefl_flush;
// tdefl's compression state structure.
typedef struct {
tdefl_put_buf_func_ptr m_pPut_buf_func;
void *m_pPut_buf_user;
mz_uint m_flags, m_max_probes[2];
int m_greedy_parsing;
mz_uint m_adler32, m_lookahead_pos, m_lookahead_size, m_dict_size;
mz_uint8 *m_pLZ_code_buf, *m_pLZ_flags, *m_pOutput_buf, *m_pOutput_buf_end;
mz_uint m_num_flags_left, m_total_lz_bytes, m_lz_code_buf_dict_pos, m_bits_in,
m_bit_buffer;
mz_uint m_saved_match_dist, m_saved_match_len, m_saved_lit,
m_output_flush_ofs, m_output_flush_remaining, m_finished, m_block_index,
m_wants_to_finish;
tdefl_status m_prev_return_status;
const void *m_pIn_buf;
void *m_pOut_buf;
size_t *m_pIn_buf_size, *m_pOut_buf_size;
tdefl_flush m_flush;
const mz_uint8 *m_pSrc;
size_t m_src_buf_left, m_out_buf_ofs;
mz_uint8 m_dict[TDEFL_LZ_DICT_SIZE + TDEFL_MAX_MATCH_LEN - 1];
mz_uint16 m_huff_count[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint16 m_huff_codes[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint8 m_huff_code_sizes[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint8 m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE];
mz_uint16 m_next[TDEFL_LZ_DICT_SIZE];
mz_uint16 m_hash[TDEFL_LZ_HASH_SIZE];
mz_uint8 m_output_buf[TDEFL_OUT_BUF_SIZE];
} tdefl_compressor;
// Initializes the compressor.
// There is no corresponding deinit() function because the tdefl API's do not
// dynamically allocate memory.
// pBut_buf_func: If NULL, output data will be supplied to the specified
// callback. In this case, the user should call the tdefl_compress_buffer() API
// for compression.
// If pBut_buf_func is NULL the user should always call the tdefl_compress()
// API.
// flags: See the above enums (TDEFL_HUFFMAN_ONLY, TDEFL_WRITE_ZLIB_HEADER,
// etc.)
tdefl_status tdefl_init(tdefl_compressor *d,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
// Compresses a block of data, consuming as much of the specified input buffer
// as possible, and writing as much compressed data to the specified output
// buffer as possible.
tdefl_status tdefl_compress(tdefl_compressor *d, const void *pIn_buf,
size_t *pIn_buf_size, void *pOut_buf,
size_t *pOut_buf_size, tdefl_flush flush);
// tdefl_compress_buffer() is only usable when the tdefl_init() is called with a
// non-NULL tdefl_put_buf_func_ptr.
// tdefl_compress_buffer() always consumes the entire input buffer.
tdefl_status tdefl_compress_buffer(tdefl_compressor *d, const void *pIn_buf,
size_t in_buf_size, tdefl_flush flush);
tdefl_status tdefl_get_prev_return_status(tdefl_compressor *d);
mz_uint32 tdefl_get_adler32(tdefl_compressor *d);
// Can't use tdefl_create_comp_flags_from_zip_params if MINIZ_NO_ZLIB_APIS isn't
// defined, because it uses some of its macros.
#ifndef MINIZ_NO_ZLIB_APIS
// Create tdefl_compress() flags given zlib-style compression parameters.
// level may range from [0,10] (where 10 is absolute max compression, but may be
// much slower on some files)
// window_bits may be -15 (raw deflate) or 15 (zlib)
// strategy may be either MZ_DEFAULT_STRATEGY, MZ_FILTERED, MZ_HUFFMAN_ONLY,
// MZ_RLE, or MZ_FIXED
mz_uint tdefl_create_comp_flags_from_zip_params(int level, int window_bits,
int strategy);
#endif // #ifndef MINIZ_NO_ZLIB_APIS
#ifdef __cplusplus
}
#endif
#endif // MINIZ_HEADER_INCLUDED
// ------------------- End of Header: Implementation follows. (If you only want
// the header, define MINIZ_HEADER_FILE_ONLY.)
#ifndef MINIZ_HEADER_FILE_ONLY
typedef unsigned char mz_validate_uint16[sizeof(mz_uint16) == 2 ? 1 : -1];
typedef unsigned char mz_validate_uint32[sizeof(mz_uint32) == 4 ? 1 : -1];
typedef unsigned char mz_validate_uint64[sizeof(mz_uint64) == 8 ? 1 : -1];
//#include <assert.h>
//#include <string.h>
#define MZ_ASSERT(x) assert(x)
#ifdef MINIZ_NO_MALLOC
#define MZ_MALLOC(x) NULL
#define MZ_FREE(x) (void)x, ((void)0)
#define MZ_REALLOC(p, x) NULL
#else
#define MZ_MALLOC(x) malloc(x)
#define MZ_FREE(x) free(x)
#define MZ_REALLOC(p, x) realloc(p, x)
#endif
#define MZ_MAX(a, b) (((a) > (b)) ? (a) : (b))
#define MZ_MIN(a, b) (((a) < (b)) ? (a) : (b))
#define MZ_CLEAR_OBJ(obj) memset(&(obj), 0, sizeof(obj))
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
#define MZ_READ_LE16(p) *((const mz_uint16 *)(p))
#define MZ_READ_LE32(p) *((const mz_uint32 *)(p))
#else
#define MZ_READ_LE16(p) \
((mz_uint32)(((const mz_uint8 *)(p))[0]) | \
((mz_uint32)(((const mz_uint8 *)(p))[1]) << 8U))
#define MZ_READ_LE32(p) \
((mz_uint32)(((const mz_uint8 *)(p))[0]) | \
((mz_uint32)(((const mz_uint8 *)(p))[1]) << 8U) | \
((mz_uint32)(((const mz_uint8 *)(p))[2]) << 16U) | \
((mz_uint32)(((const mz_uint8 *)(p))[3]) << 24U))
#endif
#ifdef _MSC_VER
#define MZ_FORCEINLINE __forceinline
#elif defined(__GNUC__)
#define MZ_FORCEINLINE inline __attribute__((__always_inline__))
#else
#define MZ_FORCEINLINE inline
#endif
#ifdef __cplusplus
extern "C" {
#endif
// ------------------- zlib-style API's
mz_ulong mz_adler32(mz_ulong adler, const unsigned char *ptr, size_t buf_len) {
mz_uint32 i, s1 = (mz_uint32)(adler & 0xffff), s2 = (mz_uint32)(adler >> 16);
size_t block_len = buf_len % 5552;
if (!ptr) return MZ_ADLER32_INIT;
while (buf_len) {
for (i = 0; i + 7 < block_len; i += 8, ptr += 8) {
s1 += ptr[0], s2 += s1;
s1 += ptr[1], s2 += s1;
s1 += ptr[2], s2 += s1;
s1 += ptr[3], s2 += s1;
s1 += ptr[4], s2 += s1;
s1 += ptr[5], s2 += s1;
s1 += ptr[6], s2 += s1;
s1 += ptr[7], s2 += s1;
}
for (; i < block_len; ++i) s1 += *ptr++, s2 += s1;
s1 %= 65521U, s2 %= 65521U;
buf_len -= block_len;
block_len = 5552;
}
return (s2 << 16) + s1;
}
// Karl Malbrain's compact CRC-32. See "A compact CCITT crc16 and crc32 C
// implementation that balances processor cache usage against speed":
// http://www.geocities.com/malbrain/
mz_ulong mz_crc32(mz_ulong crc, const mz_uint8 *ptr, size_t buf_len) {
static const mz_uint32 s_crc32[16] = {
0, 0x1db71064, 0x3b6e20c8, 0x26d930ac, 0x76dc4190, 0x6b6b51f4,
0x4db26158, 0x5005713c, 0xedb88320, 0xf00f9344, 0xd6d6a3e8, 0xcb61b38c,
0x9b64c2b0, 0x86d3d2d4, 0xa00ae278, 0xbdbdf21c};
mz_uint32 crcu32 = (mz_uint32)crc;
if (!ptr) return MZ_CRC32_INIT;
crcu32 = ~crcu32;
while (buf_len--) {
mz_uint8 b = *ptr++;
crcu32 = (crcu32 >> 4) ^ s_crc32[(crcu32 & 0xF) ^ (b & 0xF)];
crcu32 = (crcu32 >> 4) ^ s_crc32[(crcu32 & 0xF) ^ (b >> 4)];
}
return ~crcu32;
}
void mz_free(void *p) { MZ_FREE(p); }
#ifndef MINIZ_NO_ZLIB_APIS
static void *def_alloc_func(void *opaque, size_t items, size_t size) {
(void)opaque, (void)items, (void)size;
return MZ_MALLOC(items * size);
}
static void def_free_func(void *opaque, void *address) {
(void)opaque, (void)address;
MZ_FREE(address);
}
static void *def_realloc_func(void *opaque, void *address, size_t items,
size_t size) {
(void)opaque, (void)address, (void)items, (void)size;
return MZ_REALLOC(address, items * size);
}
const char *mz_version(void) { return MZ_VERSION; }
int mz_deflateInit(mz_streamp pStream, int level) {
return mz_deflateInit2(pStream, level, MZ_DEFLATED, MZ_DEFAULT_WINDOW_BITS, 9,
MZ_DEFAULT_STRATEGY);
}
int mz_deflateInit2(mz_streamp pStream, int level, int method, int window_bits,
int mem_level, int strategy) {
tdefl_compressor *pComp;
mz_uint comp_flags =
TDEFL_COMPUTE_ADLER32 |
tdefl_create_comp_flags_from_zip_params(level, window_bits, strategy);
if (!pStream) return MZ_STREAM_ERROR;
if ((method != MZ_DEFLATED) || ((mem_level < 1) || (mem_level > 9)) ||
((window_bits != MZ_DEFAULT_WINDOW_BITS) &&
(-window_bits != MZ_DEFAULT_WINDOW_BITS)))
return MZ_PARAM_ERROR;
pStream->data_type = 0;
pStream->adler = MZ_ADLER32_INIT;
pStream->msg = NULL;
pStream->reserved = 0;
pStream->total_in = 0;
pStream->total_out = 0;
if (!pStream->zalloc) pStream->zalloc = def_alloc_func;
if (!pStream->zfree) pStream->zfree = def_free_func;
pComp = (tdefl_compressor *)pStream->zalloc(pStream->opaque, 1,
sizeof(tdefl_compressor));
if (!pComp) return MZ_MEM_ERROR;
pStream->state = (struct mz_internal_state *)pComp;
if (tdefl_init(pComp, NULL, NULL, comp_flags) != TDEFL_STATUS_OKAY) {
mz_deflateEnd(pStream);
return MZ_PARAM_ERROR;
}
return MZ_OK;
}
int mz_deflateReset(mz_streamp pStream) {
if ((!pStream) || (!pStream->state) || (!pStream->zalloc) ||
(!pStream->zfree))
return MZ_STREAM_ERROR;
pStream->total_in = pStream->total_out = 0;
tdefl_init((tdefl_compressor *)pStream->state, NULL, NULL,
((tdefl_compressor *)pStream->state)->m_flags);
return MZ_OK;
}
int mz_deflate(mz_streamp pStream, int flush) {
size_t in_bytes, out_bytes;
mz_ulong orig_total_in, orig_total_out;
int mz_status = MZ_OK;
if ((!pStream) || (!pStream->state) || (flush < 0) || (flush > MZ_FINISH) ||
(!pStream->next_out))
return MZ_STREAM_ERROR;
if (!pStream->avail_out) return MZ_BUF_ERROR;
if (flush == MZ_PARTIAL_FLUSH) flush = MZ_SYNC_FLUSH;
if (((tdefl_compressor *)pStream->state)->m_prev_return_status ==
TDEFL_STATUS_DONE)
return (flush == MZ_FINISH) ? MZ_STREAM_END : MZ_BUF_ERROR;
orig_total_in = pStream->total_in;
orig_total_out = pStream->total_out;
for (;;) {
tdefl_status defl_status;
in_bytes = pStream->avail_in;
out_bytes = pStream->avail_out;
defl_status = tdefl_compress((tdefl_compressor *)pStream->state,
pStream->next_in, &in_bytes, pStream->next_out,
&out_bytes, (tdefl_flush)flush);
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tdefl_get_adler32((tdefl_compressor *)pStream->state);
pStream->next_out += (mz_uint)out_bytes;
pStream->avail_out -= (mz_uint)out_bytes;
pStream->total_out += (mz_uint)out_bytes;
if (defl_status < 0) {
mz_status = MZ_STREAM_ERROR;
break;
} else if (defl_status == TDEFL_STATUS_DONE) {
mz_status = MZ_STREAM_END;
break;
} else if (!pStream->avail_out)
break;
else if ((!pStream->avail_in) && (flush != MZ_FINISH)) {
if ((flush) || (pStream->total_in != orig_total_in) ||
(pStream->total_out != orig_total_out))
break;
return MZ_BUF_ERROR; // Can't make forward progress without some input.
}
}
return mz_status;
}
int mz_deflateEnd(mz_streamp pStream) {
if (!pStream) return MZ_STREAM_ERROR;
if (pStream->state) {
pStream->zfree(pStream->opaque, pStream->state);
pStream->state = NULL;
}
return MZ_OK;
}
mz_ulong mz_deflateBound(mz_streamp pStream, mz_ulong source_len) {
(void)pStream;
// This is really over conservative. (And lame, but it's actually pretty
// tricky to compute a true upper bound given the way tdefl's blocking works.)
return MZ_MAX(128 + (source_len * 110) / 100,
128 + source_len + ((source_len / (31 * 1024)) + 1) * 5);
}
int mz_compress2(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len, int level) {
int status;
mz_stream stream;
memset(&stream, 0, sizeof(stream));
// In case mz_ulong is 64-bits (argh I hate longs).
if ((source_len | *pDest_len) > 0xFFFFFFFFU) return MZ_PARAM_ERROR;
stream.next_in = pSource;
stream.avail_in = (mz_uint32)source_len;
stream.next_out = pDest;
stream.avail_out = (mz_uint32)*pDest_len;
status = mz_deflateInit(&stream, level);
if (status != MZ_OK) return status;
status = mz_deflate(&stream, MZ_FINISH);
if (status != MZ_STREAM_END) {
mz_deflateEnd(&stream);
return (status == MZ_OK) ? MZ_BUF_ERROR : status;
}
*pDest_len = stream.total_out;
return mz_deflateEnd(&stream);
}
int mz_compress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len) {
return mz_compress2(pDest, pDest_len, pSource, source_len,
MZ_DEFAULT_COMPRESSION);
}
mz_ulong mz_compressBound(mz_ulong source_len) {
return mz_deflateBound(NULL, source_len);
}
typedef struct {
tinfl_decompressor m_decomp;
mz_uint m_dict_ofs, m_dict_avail, m_first_call, m_has_flushed;
int m_window_bits;
mz_uint8 m_dict[TINFL_LZ_DICT_SIZE];
tinfl_status m_last_status;
} inflate_state;
int mz_inflateInit2(mz_streamp pStream, int window_bits) {
inflate_state *pDecomp;
if (!pStream) return MZ_STREAM_ERROR;
if ((window_bits != MZ_DEFAULT_WINDOW_BITS) &&
(-window_bits != MZ_DEFAULT_WINDOW_BITS))
return MZ_PARAM_ERROR;
pStream->data_type = 0;
pStream->adler = 0;
pStream->msg = NULL;
pStream->total_in = 0;
pStream->total_out = 0;
pStream->reserved = 0;
if (!pStream->zalloc) pStream->zalloc = def_alloc_func;
if (!pStream->zfree) pStream->zfree = def_free_func;
pDecomp = (inflate_state *)pStream->zalloc(pStream->opaque, 1,
sizeof(inflate_state));
if (!pDecomp) return MZ_MEM_ERROR;
pStream->state = (struct mz_internal_state *)pDecomp;
tinfl_init(&pDecomp->m_decomp);
pDecomp->m_dict_ofs = 0;
pDecomp->m_dict_avail = 0;
pDecomp->m_last_status = TINFL_STATUS_NEEDS_MORE_INPUT;
pDecomp->m_first_call = 1;
pDecomp->m_has_flushed = 0;
pDecomp->m_window_bits = window_bits;
return MZ_OK;
}
int mz_inflateInit(mz_streamp pStream) {
return mz_inflateInit2(pStream, MZ_DEFAULT_WINDOW_BITS);
}
int mz_inflate(mz_streamp pStream, int flush) {
inflate_state *pState;
mz_uint n, first_call, decomp_flags = TINFL_FLAG_COMPUTE_ADLER32;
size_t in_bytes, out_bytes, orig_avail_in;
tinfl_status status;
if ((!pStream) || (!pStream->state)) return MZ_STREAM_ERROR;
if (flush == MZ_PARTIAL_FLUSH) flush = MZ_SYNC_FLUSH;
if ((flush) && (flush != MZ_SYNC_FLUSH) && (flush != MZ_FINISH))
return MZ_STREAM_ERROR;
pState = (inflate_state *)pStream->state;
if (pState->m_window_bits > 0) decomp_flags |= TINFL_FLAG_PARSE_ZLIB_HEADER;
orig_avail_in = pStream->avail_in;
first_call = pState->m_first_call;
pState->m_first_call = 0;
if (pState->m_last_status < 0) return MZ_DATA_ERROR;
if (pState->m_has_flushed && (flush != MZ_FINISH)) return MZ_STREAM_ERROR;
pState->m_has_flushed |= (flush == MZ_FINISH);
if ((flush == MZ_FINISH) && (first_call)) {
// MZ_FINISH on the first call implies that the input and output buffers are
// large enough to hold the entire compressed/decompressed file.
decomp_flags |= TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF;
in_bytes = pStream->avail_in;
out_bytes = pStream->avail_out;
status = tinfl_decompress(&pState->m_decomp, pStream->next_in, &in_bytes,
pStream->next_out, pStream->next_out, &out_bytes,
decomp_flags);
pState->m_last_status = status;
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tinfl_get_adler32(&pState->m_decomp);
pStream->next_out += (mz_uint)out_bytes;
pStream->avail_out -= (mz_uint)out_bytes;
pStream->total_out += (mz_uint)out_bytes;
if (status < 0)
return MZ_DATA_ERROR;
else if (status != TINFL_STATUS_DONE) {
pState->m_last_status = TINFL_STATUS_FAILED;
return MZ_BUF_ERROR;
}
return MZ_STREAM_END;
}
// flush != MZ_FINISH then we must assume there's more input.
if (flush != MZ_FINISH) decomp_flags |= TINFL_FLAG_HAS_MORE_INPUT;
if (pState->m_dict_avail) {
n = MZ_MIN(pState->m_dict_avail, pStream->avail_out);
memcpy(pStream->next_out, pState->m_dict + pState->m_dict_ofs, n);
pStream->next_out += n;
pStream->avail_out -= n;
pStream->total_out += n;
pState->m_dict_avail -= n;
pState->m_dict_ofs = (pState->m_dict_ofs + n) & (TINFL_LZ_DICT_SIZE - 1);
return ((pState->m_last_status == TINFL_STATUS_DONE) &&
(!pState->m_dict_avail))
? MZ_STREAM_END
: MZ_OK;
}
for (;;) {
in_bytes = pStream->avail_in;
out_bytes = TINFL_LZ_DICT_SIZE - pState->m_dict_ofs;
status = tinfl_decompress(
&pState->m_decomp, pStream->next_in, &in_bytes, pState->m_dict,
pState->m_dict + pState->m_dict_ofs, &out_bytes, decomp_flags);
pState->m_last_status = status;
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tinfl_get_adler32(&pState->m_decomp);
pState->m_dict_avail = (mz_uint)out_bytes;
n = MZ_MIN(pState->m_dict_avail, pStream->avail_out);
memcpy(pStream->next_out, pState->m_dict + pState->m_dict_ofs, n);
pStream->next_out += n;
pStream->avail_out -= n;
pStream->total_out += n;
pState->m_dict_avail -= n;
pState->m_dict_ofs = (pState->m_dict_ofs + n) & (TINFL_LZ_DICT_SIZE - 1);
if (status < 0)
return MZ_DATA_ERROR; // Stream is corrupted (there could be some
// uncompressed data left in the output dictionary -
// oh well).
else if ((status == TINFL_STATUS_NEEDS_MORE_INPUT) && (!orig_avail_in))
return MZ_BUF_ERROR; // Signal caller that we can't make forward progress
// without supplying more input or by setting flush
// to MZ_FINISH.
else if (flush == MZ_FINISH) {
// The output buffer MUST be large to hold the remaining uncompressed data
// when flush==MZ_FINISH.
if (status == TINFL_STATUS_DONE)
return pState->m_dict_avail ? MZ_BUF_ERROR : MZ_STREAM_END;
// status here must be TINFL_STATUS_HAS_MORE_OUTPUT, which means there's
// at least 1 more byte on the way. If there's no more room left in the
// output buffer then something is wrong.
else if (!pStream->avail_out)
return MZ_BUF_ERROR;
} else if ((status == TINFL_STATUS_DONE) || (!pStream->avail_in) ||
(!pStream->avail_out) || (pState->m_dict_avail))
break;
}
return ((status == TINFL_STATUS_DONE) && (!pState->m_dict_avail))
? MZ_STREAM_END
: MZ_OK;
}
int mz_inflateEnd(mz_streamp pStream) {
if (!pStream) return MZ_STREAM_ERROR;
if (pStream->state) {
pStream->zfree(pStream->opaque, pStream->state);
pStream->state = NULL;
}
return MZ_OK;
}
int mz_uncompress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len) {
mz_stream stream;
int status;
memset(&stream, 0, sizeof(stream));
// In case mz_ulong is 64-bits (argh I hate longs).
if ((source_len | *pDest_len) > 0xFFFFFFFFU) return MZ_PARAM_ERROR;
stream.next_in = pSource;
stream.avail_in = (mz_uint32)source_len;
stream.next_out = pDest;
stream.avail_out = (mz_uint32)*pDest_len;
status = mz_inflateInit(&stream);
if (status != MZ_OK) return status;
status = mz_inflate(&stream, MZ_FINISH);
if (status != MZ_STREAM_END) {
mz_inflateEnd(&stream);
return ((status == MZ_BUF_ERROR) && (!stream.avail_in)) ? MZ_DATA_ERROR
: status;
}
*pDest_len = stream.total_out;
return mz_inflateEnd(&stream);
}
const char *mz_error(int err) {
static struct {
int m_err;
const char *m_pDesc;
} s_error_descs[] = {{MZ_OK, ""},
{MZ_STREAM_END, "stream end"},
{MZ_NEED_DICT, "need dictionary"},
{MZ_ERRNO, "file error"},
{MZ_STREAM_ERROR, "stream error"},
{MZ_DATA_ERROR, "data error"},
{MZ_MEM_ERROR, "out of memory"},
{MZ_BUF_ERROR, "buf error"},
{MZ_VERSION_ERROR, "version error"},
{MZ_PARAM_ERROR, "parameter error"}};
mz_uint i;
for (i = 0; i < sizeof(s_error_descs) / sizeof(s_error_descs[0]); ++i)
if (s_error_descs[i].m_err == err) return s_error_descs[i].m_pDesc;
return NULL;
}
#endif // MINIZ_NO_ZLIB_APIS
// ------------------- Low-level Decompression (completely independent from all
// compression API's)
#define TINFL_MEMCPY(d, s, l) memcpy(d, s, l)
#define TINFL_MEMSET(p, c, l) memset(p, c, l)
#define TINFL_CR_BEGIN \
switch (r->m_state) { \
case 0:
#define TINFL_CR_RETURN(state_index, result) \
do { \
status = result; \
r->m_state = state_index; \
goto common_exit; \
case state_index:; \
} \
MZ_MACRO_END
#define TINFL_CR_RETURN_FOREVER(state_index, result) \
do { \
for (;;) { \
TINFL_CR_RETURN(state_index, result); \
} \
} \
MZ_MACRO_END
#define TINFL_CR_FINISH }
// TODO: If the caller has indicated that there's no more input, and we attempt
// to read beyond the input buf, then something is wrong with the input because
// the inflator never
// reads ahead more than it needs to. Currently TINFL_GET_BYTE() pads the end of
// the stream with 0's in this scenario.
#define TINFL_GET_BYTE(state_index, c) \
do { \
if (pIn_buf_cur >= pIn_buf_end) { \
for (;;) { \
if (decomp_flags & TINFL_FLAG_HAS_MORE_INPUT) { \
TINFL_CR_RETURN(state_index, TINFL_STATUS_NEEDS_MORE_INPUT); \
if (pIn_buf_cur < pIn_buf_end) { \
c = *pIn_buf_cur++; \
break; \
} \
} else { \
c = 0; \
break; \
} \
} \
} else \
c = *pIn_buf_cur++; \
} \
MZ_MACRO_END
#define TINFL_NEED_BITS(state_index, n) \
do { \
mz_uint c; \
TINFL_GET_BYTE(state_index, c); \
bit_buf |= (((tinfl_bit_buf_t)c) << num_bits); \
num_bits += 8; \
} while (num_bits < (mz_uint)(n))
#define TINFL_SKIP_BITS(state_index, n) \
do { \
if (num_bits < (mz_uint)(n)) { \
TINFL_NEED_BITS(state_index, n); \
} \
bit_buf >>= (n); \
num_bits -= (n); \
} \
MZ_MACRO_END
#define TINFL_GET_BITS(state_index, b, n) \
do { \
if (num_bits < (mz_uint)(n)) { \
TINFL_NEED_BITS(state_index, n); \
} \
b = bit_buf & ((1 << (n)) - 1); \
bit_buf >>= (n); \
num_bits -= (n); \
} \
MZ_MACRO_END
// TINFL_HUFF_BITBUF_FILL() is only used rarely, when the number of bytes
// remaining in the input buffer falls below 2.
// It reads just enough bytes from the input stream that are needed to decode
// the next Huffman code (and absolutely no more). It works by trying to fully
// decode a
// Huffman code by using whatever bits are currently present in the bit buffer.
// If this fails, it reads another byte, and tries again until it succeeds or
// until the
// bit buffer contains >=15 bits (deflate's max. Huffman code size).
#define TINFL_HUFF_BITBUF_FILL(state_index, pHuff) \
do { \
temp = (pHuff)->m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]; \
if (temp >= 0) { \
code_len = temp >> 9; \
if ((code_len) && (num_bits >= code_len)) break; \
} else if (num_bits > TINFL_FAST_LOOKUP_BITS) { \
code_len = TINFL_FAST_LOOKUP_BITS; \
do { \
temp = (pHuff)->m_tree[~temp + ((bit_buf >> code_len++) & 1)]; \
} while ((temp < 0) && (num_bits >= (code_len + 1))); \
if (temp >= 0) break; \
} \
TINFL_GET_BYTE(state_index, c); \
bit_buf |= (((tinfl_bit_buf_t)c) << num_bits); \
num_bits += 8; \
} while (num_bits < 15);
// TINFL_HUFF_DECODE() decodes the next Huffman coded symbol. It's more complex
// than you would initially expect because the zlib API expects the decompressor
// to never read
// beyond the final byte of the deflate stream. (In other words, when this macro
// wants to read another byte from the input, it REALLY needs another byte in
// order to fully
// decode the next Huffman code.) Handling this properly is particularly
// important on raw deflate (non-zlib) streams, which aren't followed by a byte
// aligned adler-32.
// The slow path is only executed at the very end of the input buffer.
#define TINFL_HUFF_DECODE(state_index, sym, pHuff) \
do { \
int temp; \
mz_uint code_len, c; \
if (num_bits < 15) { \
if ((pIn_buf_end - pIn_buf_cur) < 2) { \
TINFL_HUFF_BITBUF_FILL(state_index, pHuff); \
} else { \
bit_buf |= (((tinfl_bit_buf_t)pIn_buf_cur[0]) << num_bits) | \
(((tinfl_bit_buf_t)pIn_buf_cur[1]) << (num_bits + 8)); \
pIn_buf_cur += 2; \
num_bits += 16; \
} \
} \
if ((temp = (pHuff)->m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >= \
0) \
code_len = temp >> 9, temp &= 511; \
else { \
code_len = TINFL_FAST_LOOKUP_BITS; \
do { \
temp = (pHuff)->m_tree[~temp + ((bit_buf >> code_len++) & 1)]; \
} while (temp < 0); \
} \
sym = temp; \
bit_buf >>= code_len; \
num_bits -= code_len; \
} \
MZ_MACRO_END
tinfl_status tinfl_decompress(tinfl_decompressor *r,
const mz_uint8 *pIn_buf_next,
size_t *pIn_buf_size, mz_uint8 *pOut_buf_start,
mz_uint8 *pOut_buf_next, size_t *pOut_buf_size,
const mz_uint32 decomp_flags) {
static const int s_length_base[31] = {
3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19, 23, 27, 31,
35, 43, 51, 59, 67, 83, 99, 115, 131, 163, 195, 227, 258, 0, 0};
static const int s_length_extra[31] = {0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4,
4, 4, 5, 5, 5, 5, 0, 0, 0};
static const int s_dist_base[32] = {
1, 2, 3, 4, 5, 7, 9, 13, 17, 25, 33,
49, 65, 97, 129, 193, 257, 385, 513, 769, 1025, 1537,
2049, 3073, 4097, 6145, 8193, 12289, 16385, 24577, 0, 0};
static const int s_dist_extra[32] = {0, 0, 0, 0, 1, 1, 2, 2, 3, 3,
4, 4, 5, 5, 6, 6, 7, 7, 8, 8,
9, 9, 10, 10, 11, 11, 12, 12, 13, 13};
static const mz_uint8 s_length_dezigzag[19] = {
16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15};
static const int s_min_table_sizes[3] = {257, 1, 4};
tinfl_status status = TINFL_STATUS_FAILED;
mz_uint32 num_bits, dist, counter, num_extra;
tinfl_bit_buf_t bit_buf;
const mz_uint8 *pIn_buf_cur = pIn_buf_next,
*const pIn_buf_end = pIn_buf_next + *pIn_buf_size;
mz_uint8 *pOut_buf_cur = pOut_buf_next,
*const pOut_buf_end = pOut_buf_next + *pOut_buf_size;
size_t out_buf_size_mask =
(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)
? (size_t)-1
: ((pOut_buf_next - pOut_buf_start) + *pOut_buf_size) - 1,
dist_from_out_buf_start;
// Ensure the output buffer's size is a power of 2, unless the output buffer
// is large enough to hold the entire output file (in which case it doesn't
// matter).
if (((out_buf_size_mask + 1) & out_buf_size_mask) ||
(pOut_buf_next < pOut_buf_start)) {
*pIn_buf_size = *pOut_buf_size = 0;
return TINFL_STATUS_BAD_PARAM;
}
num_bits = r->m_num_bits;
bit_buf = r->m_bit_buf;
dist = r->m_dist;
counter = r->m_counter;
num_extra = r->m_num_extra;
dist_from_out_buf_start = r->m_dist_from_out_buf_start;
TINFL_CR_BEGIN
bit_buf = num_bits = dist = counter = num_extra = r->m_zhdr0 = r->m_zhdr1 = 0;
r->m_z_adler32 = r->m_check_adler32 = 1;
if (decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) {
TINFL_GET_BYTE(1, r->m_zhdr0);
TINFL_GET_BYTE(2, r->m_zhdr1);
counter = (((r->m_zhdr0 * 256 + r->m_zhdr1) % 31 != 0) ||
(r->m_zhdr1 & 32) || ((r->m_zhdr0 & 15) != 8));
if (!(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF))
counter |= (((1U << (8U + (r->m_zhdr0 >> 4))) > 32768U) ||
((out_buf_size_mask + 1) <
(size_t)(1ULL << (8U + (r->m_zhdr0 >> 4)))));
if (counter) {
TINFL_CR_RETURN_FOREVER(36, TINFL_STATUS_FAILED);
}
}
do {
TINFL_GET_BITS(3, r->m_final, 3);
r->m_type = r->m_final >> 1;
if (r->m_type == 0) {
TINFL_SKIP_BITS(5, num_bits & 7);
for (counter = 0; counter < 4; ++counter) {
if (num_bits)
TINFL_GET_BITS(6, r->m_raw_header[counter], 8);
else
TINFL_GET_BYTE(7, r->m_raw_header[counter]);
}
if ((counter = (r->m_raw_header[0] | (r->m_raw_header[1] << 8))) !=
(mz_uint)(0xFFFF ^
(r->m_raw_header[2] | (r->m_raw_header[3] << 8)))) {
TINFL_CR_RETURN_FOREVER(39, TINFL_STATUS_FAILED);
}
while ((counter) && (num_bits)) {
TINFL_GET_BITS(51, dist, 8);
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(52, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ = (mz_uint8)dist;
counter--;
}
while (counter) {
size_t n;
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(9, TINFL_STATUS_HAS_MORE_OUTPUT);
}
while (pIn_buf_cur >= pIn_buf_end) {
if (decomp_flags & TINFL_FLAG_HAS_MORE_INPUT) {
TINFL_CR_RETURN(38, TINFL_STATUS_NEEDS_MORE_INPUT);
} else {
TINFL_CR_RETURN_FOREVER(40, TINFL_STATUS_FAILED);
}
}
n = MZ_MIN(MZ_MIN((size_t)(pOut_buf_end - pOut_buf_cur),
(size_t)(pIn_buf_end - pIn_buf_cur)),
counter);
TINFL_MEMCPY(pOut_buf_cur, pIn_buf_cur, n);
pIn_buf_cur += n;
pOut_buf_cur += n;
counter -= (mz_uint)n;
}
} else if (r->m_type == 3) {
TINFL_CR_RETURN_FOREVER(10, TINFL_STATUS_FAILED);
} else {
if (r->m_type == 1) {
mz_uint8 *p = r->m_tables[0].m_code_size;
mz_uint i;
r->m_table_sizes[0] = 288;
r->m_table_sizes[1] = 32;
TINFL_MEMSET(r->m_tables[1].m_code_size, 5, 32);
for (i = 0; i <= 143; ++i) *p++ = 8;
for (; i <= 255; ++i) *p++ = 9;
for (; i <= 279; ++i) *p++ = 7;
for (; i <= 287; ++i) *p++ = 8;
} else {
for (counter = 0; counter < 3; counter++) {
TINFL_GET_BITS(11, r->m_table_sizes[counter], "\05\05\04"[counter]);
r->m_table_sizes[counter] += s_min_table_sizes[counter];
}
MZ_CLEAR_OBJ(r->m_tables[2].m_code_size);
for (counter = 0; counter < r->m_table_sizes[2]; counter++) {
mz_uint s;
TINFL_GET_BITS(14, s, 3);
r->m_tables[2].m_code_size[s_length_dezigzag[counter]] = (mz_uint8)s;
}
r->m_table_sizes[2] = 19;
}
for (; (int)r->m_type >= 0; r->m_type--) {
int tree_next, tree_cur;
tinfl_huff_table *pTable;
mz_uint i, j, used_syms, total, sym_index, next_code[17],
total_syms[16];
pTable = &r->m_tables[r->m_type];
MZ_CLEAR_OBJ(total_syms);
MZ_CLEAR_OBJ(pTable->m_look_up);
MZ_CLEAR_OBJ(pTable->m_tree);
for (i = 0; i < r->m_table_sizes[r->m_type]; ++i)
total_syms[pTable->m_code_size[i]]++;
used_syms = 0, total = 0;
next_code[0] = next_code[1] = 0;
for (i = 1; i <= 15; ++i) {
used_syms += total_syms[i];
next_code[i + 1] = (total = ((total + total_syms[i]) << 1));
}
if ((65536 != total) && (used_syms > 1)) {
TINFL_CR_RETURN_FOREVER(35, TINFL_STATUS_FAILED);
}
for (tree_next = -1, sym_index = 0;
sym_index < r->m_table_sizes[r->m_type]; ++sym_index) {
mz_uint rev_code = 0, l, cur_code,
code_size = pTable->m_code_size[sym_index];
if (!code_size) continue;
cur_code = next_code[code_size]++;
for (l = code_size; l > 0; l--, cur_code >>= 1)
rev_code = (rev_code << 1) | (cur_code & 1);
if (code_size <= TINFL_FAST_LOOKUP_BITS) {
mz_int16 k = (mz_int16)((code_size << 9) | sym_index);
while (rev_code < TINFL_FAST_LOOKUP_SIZE) {
pTable->m_look_up[rev_code] = k;
rev_code += (1 << code_size);
}
continue;
}
if (0 ==
(tree_cur = pTable->m_look_up[rev_code &
(TINFL_FAST_LOOKUP_SIZE - 1)])) {
pTable->m_look_up[rev_code & (TINFL_FAST_LOOKUP_SIZE - 1)] =
(mz_int16)tree_next;
tree_cur = tree_next;
tree_next -= 2;
}
rev_code >>= (TINFL_FAST_LOOKUP_BITS - 1);
for (j = code_size; j > (TINFL_FAST_LOOKUP_BITS + 1); j--) {
tree_cur -= ((rev_code >>= 1) & 1);
if (!pTable->m_tree[-tree_cur - 1]) {
pTable->m_tree[-tree_cur - 1] = (mz_int16)tree_next;
tree_cur = tree_next;
tree_next -= 2;
} else
tree_cur = pTable->m_tree[-tree_cur - 1];
}
tree_cur -= ((rev_code >>= 1) & 1);
pTable->m_tree[-tree_cur - 1] = (mz_int16)sym_index;
}
if (r->m_type == 2) {
for (counter = 0;
counter < (r->m_table_sizes[0] + r->m_table_sizes[1]);) {
mz_uint s;
TINFL_HUFF_DECODE(16, dist, &r->m_tables[2]);
if (dist < 16) {
r->m_len_codes[counter++] = (mz_uint8)dist;
continue;
}
if ((dist == 16) && (!counter)) {
TINFL_CR_RETURN_FOREVER(17, TINFL_STATUS_FAILED);
}
num_extra = "\02\03\07"[dist - 16];
TINFL_GET_BITS(18, s, num_extra);
s += "\03\03\013"[dist - 16];
TINFL_MEMSET(r->m_len_codes + counter,
(dist == 16) ? r->m_len_codes[counter - 1] : 0, s);
counter += s;
}
if ((r->m_table_sizes[0] + r->m_table_sizes[1]) != counter) {
TINFL_CR_RETURN_FOREVER(21, TINFL_STATUS_FAILED);
}
TINFL_MEMCPY(r->m_tables[0].m_code_size, r->m_len_codes,
r->m_table_sizes[0]);
TINFL_MEMCPY(r->m_tables[1].m_code_size,
r->m_len_codes + r->m_table_sizes[0],
r->m_table_sizes[1]);
}
}
for (;;) {
mz_uint8 *pSrc;
for (;;) {
if (((pIn_buf_end - pIn_buf_cur) < 4) ||
((pOut_buf_end - pOut_buf_cur) < 2)) {
TINFL_HUFF_DECODE(23, counter, &r->m_tables[0]);
if (counter >= 256) break;
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(24, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ = (mz_uint8)counter;
} else {
int sym2;
mz_uint code_len;
#if TINFL_USE_64BIT_BITBUF
if (num_bits < 30) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE32(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 4;
num_bits += 32;
}
#else
if (num_bits < 15) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE16(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 2;
num_bits += 16;
}
#endif
if ((sym2 =
r->m_tables[0]
.m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >=
0)
code_len = sym2 >> 9;
else {
code_len = TINFL_FAST_LOOKUP_BITS;
do {
sym2 = r->m_tables[0]
.m_tree[~sym2 + ((bit_buf >> code_len++) & 1)];
} while (sym2 < 0);
}
counter = sym2;
bit_buf >>= code_len;
num_bits -= code_len;
if (counter & 256) break;
#if !TINFL_USE_64BIT_BITBUF
if (num_bits < 15) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE16(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 2;
num_bits += 16;
}
#endif
if ((sym2 =
r->m_tables[0]
.m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >=
0)
code_len = sym2 >> 9;
else {
code_len = TINFL_FAST_LOOKUP_BITS;
do {
sym2 = r->m_tables[0]
.m_tree[~sym2 + ((bit_buf >> code_len++) & 1)];
} while (sym2 < 0);
}
bit_buf >>= code_len;
num_bits -= code_len;
pOut_buf_cur[0] = (mz_uint8)counter;
if (sym2 & 256) {
pOut_buf_cur++;
counter = sym2;
break;
}
pOut_buf_cur[1] = (mz_uint8)sym2;
pOut_buf_cur += 2;
}
}
if ((counter &= 511) == 256) break;
num_extra = s_length_extra[counter - 257];
counter = s_length_base[counter - 257];
if (num_extra) {
mz_uint extra_bits;
TINFL_GET_BITS(25, extra_bits, num_extra);
counter += extra_bits;
}
TINFL_HUFF_DECODE(26, dist, &r->m_tables[1]);
num_extra = s_dist_extra[dist];
dist = s_dist_base[dist];
if (num_extra) {
mz_uint extra_bits;
TINFL_GET_BITS(27, extra_bits, num_extra);
dist += extra_bits;
}
dist_from_out_buf_start = pOut_buf_cur - pOut_buf_start;
if ((dist > dist_from_out_buf_start) &&
(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)) {
TINFL_CR_RETURN_FOREVER(37, TINFL_STATUS_FAILED);
}
pSrc = pOut_buf_start +
((dist_from_out_buf_start - dist) & out_buf_size_mask);
if ((MZ_MAX(pOut_buf_cur, pSrc) + counter) > pOut_buf_end) {
while (counter--) {
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(53, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ =
pOut_buf_start[(dist_from_out_buf_start++ - dist) &
out_buf_size_mask];
}
continue;
}
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
else if ((counter >= 9) && (counter <= dist)) {
const mz_uint8 *pSrc_end = pSrc + (counter & ~7);
do {
((mz_uint32 *)pOut_buf_cur)[0] = ((const mz_uint32 *)pSrc)[0];
((mz_uint32 *)pOut_buf_cur)[1] = ((const mz_uint32 *)pSrc)[1];
pOut_buf_cur += 8;
} while ((pSrc += 8) < pSrc_end);
if ((counter &= 7) < 3) {
if (counter) {
pOut_buf_cur[0] = pSrc[0];
if (counter > 1) pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur += counter;
}
continue;
}
}
#endif
do {
pOut_buf_cur[0] = pSrc[0];
pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur[2] = pSrc[2];
pOut_buf_cur += 3;
pSrc += 3;
} while ((int)(counter -= 3) > 2);
if ((int)counter > 0) {
pOut_buf_cur[0] = pSrc[0];
if ((int)counter > 1) pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur += counter;
}
}
}
} while (!(r->m_final & 1));
if (decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) {
TINFL_SKIP_BITS(32, num_bits & 7);
for (counter = 0; counter < 4; ++counter) {
mz_uint s;
if (num_bits)
TINFL_GET_BITS(41, s, 8);
else
TINFL_GET_BYTE(42, s);
r->m_z_adler32 = (r->m_z_adler32 << 8) | s;
}
}
TINFL_CR_RETURN_FOREVER(34, TINFL_STATUS_DONE);
TINFL_CR_FINISH
common_exit:
r->m_num_bits = num_bits;
r->m_bit_buf = bit_buf;
r->m_dist = dist;
r->m_counter = counter;
r->m_num_extra = num_extra;
r->m_dist_from_out_buf_start = dist_from_out_buf_start;
*pIn_buf_size = pIn_buf_cur - pIn_buf_next;
*pOut_buf_size = pOut_buf_cur - pOut_buf_next;
if ((decomp_flags &
(TINFL_FLAG_PARSE_ZLIB_HEADER | TINFL_FLAG_COMPUTE_ADLER32)) &&
(status >= 0)) {
const mz_uint8 *ptr = pOut_buf_next;
size_t buf_len = *pOut_buf_size;
mz_uint32 i, s1 = r->m_check_adler32 & 0xffff,
s2 = r->m_check_adler32 >> 16;
size_t block_len = buf_len % 5552;
while (buf_len) {
for (i = 0; i + 7 < block_len; i += 8, ptr += 8) {
s1 += ptr[0], s2 += s1;
s1 += ptr[1], s2 += s1;
s1 += ptr[2], s2 += s1;
s1 += ptr[3], s2 += s1;
s1 += ptr[4], s2 += s1;
s1 += ptr[5], s2 += s1;
s1 += ptr[6], s2 += s1;
s1 += ptr[7], s2 += s1;
}
for (; i < block_len; ++i) s1 += *ptr++, s2 += s1;
s1 %= 65521U, s2 %= 65521U;
buf_len -= block_len;
block_len = 5552;
}
r->m_check_adler32 = (s2 << 16) + s1;
if ((status == TINFL_STATUS_DONE) &&
(decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) &&
(r->m_check_adler32 != r->m_z_adler32))
status = TINFL_STATUS_ADLER32_MISMATCH;
}
return status;
}
// Higher level helper functions.
void *tinfl_decompress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags) {
tinfl_decompressor decomp;
void *pBuf = NULL, *pNew_buf;
size_t src_buf_ofs = 0, out_buf_capacity = 0;
*pOut_len = 0;
tinfl_init(&decomp);
for (;;) {
size_t src_buf_size = src_buf_len - src_buf_ofs,
dst_buf_size = out_buf_capacity - *pOut_len, new_out_buf_capacity;
tinfl_status status = tinfl_decompress(
&decomp, (const mz_uint8 *)pSrc_buf + src_buf_ofs, &src_buf_size,
(mz_uint8 *)pBuf, pBuf ? (mz_uint8 *)pBuf + *pOut_len : NULL,
&dst_buf_size, (flags & ~TINFL_FLAG_HAS_MORE_INPUT) |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF);
if ((status < 0) || (status == TINFL_STATUS_NEEDS_MORE_INPUT)) {
MZ_FREE(pBuf);
*pOut_len = 0;
return NULL;
}
src_buf_ofs += src_buf_size;
*pOut_len += dst_buf_size;
if (status == TINFL_STATUS_DONE) break;
new_out_buf_capacity = out_buf_capacity * 2;
if (new_out_buf_capacity < 128) new_out_buf_capacity = 128;
pNew_buf = MZ_REALLOC(pBuf, new_out_buf_capacity);
if (!pNew_buf) {
MZ_FREE(pBuf);
*pOut_len = 0;
return NULL;
}
pBuf = pNew_buf;
out_buf_capacity = new_out_buf_capacity;
}
return pBuf;
}
size_t tinfl_decompress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags) {
tinfl_decompressor decomp;
tinfl_status status;
tinfl_init(&decomp);
status =
tinfl_decompress(&decomp, (const mz_uint8 *)pSrc_buf, &src_buf_len,
(mz_uint8 *)pOut_buf, (mz_uint8 *)pOut_buf, &out_buf_len,
(flags & ~TINFL_FLAG_HAS_MORE_INPUT) |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF);
return (status != TINFL_STATUS_DONE) ? TINFL_DECOMPRESS_MEM_TO_MEM_FAILED
: out_buf_len;
}
int tinfl_decompress_mem_to_callback(const void *pIn_buf, size_t *pIn_buf_size,
tinfl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
int result = 0;
tinfl_decompressor decomp;
mz_uint8 *pDict = (mz_uint8 *)MZ_MALLOC(TINFL_LZ_DICT_SIZE);
size_t in_buf_ofs = 0, dict_ofs = 0;
if (!pDict) return TINFL_STATUS_FAILED;
tinfl_init(&decomp);
for (;;) {
size_t in_buf_size = *pIn_buf_size - in_buf_ofs,
dst_buf_size = TINFL_LZ_DICT_SIZE - dict_ofs;
tinfl_status status =
tinfl_decompress(&decomp, (const mz_uint8 *)pIn_buf + in_buf_ofs,
&in_buf_size, pDict, pDict + dict_ofs, &dst_buf_size,
(flags &
~(TINFL_FLAG_HAS_MORE_INPUT |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)));
in_buf_ofs += in_buf_size;
if ((dst_buf_size) &&
(!(*pPut_buf_func)(pDict + dict_ofs, (int)dst_buf_size, pPut_buf_user)))
break;
if (status != TINFL_STATUS_HAS_MORE_OUTPUT) {
result = (status == TINFL_STATUS_DONE);
break;
}
dict_ofs = (dict_ofs + dst_buf_size) & (TINFL_LZ_DICT_SIZE - 1);
}
MZ_FREE(pDict);
*pIn_buf_size = in_buf_ofs;
return result;
}
// ------------------- Low-level Compression (independent from all decompression
// API's)
// Purposely making these tables static for faster init and thread safety.
static const mz_uint16 s_tdefl_len_sym[256] = {
257, 258, 259, 260, 261, 262, 263, 264, 265, 265, 266, 266, 267, 267, 268,
268, 269, 269, 269, 269, 270, 270, 270, 270, 271, 271, 271, 271, 272, 272,
272, 272, 273, 273, 273, 273, 273, 273, 273, 273, 274, 274, 274, 274, 274,
274, 274, 274, 275, 275, 275, 275, 275, 275, 275, 275, 276, 276, 276, 276,
276, 276, 276, 276, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277,
277, 277, 277, 277, 277, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278,
278, 278, 278, 278, 278, 278, 279, 279, 279, 279, 279, 279, 279, 279, 279,
279, 279, 279, 279, 279, 279, 279, 280, 280, 280, 280, 280, 280, 280, 280,
280, 280, 280, 280, 280, 280, 280, 280, 281, 281, 281, 281, 281, 281, 281,
281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281,
281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 282, 282, 282, 282, 282,
282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282,
282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 283, 283, 283,
283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283,
283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 284,
284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284,
284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284,
285};
static const mz_uint8 s_tdefl_len_extra[256] = {
0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 0};
static const mz_uint8 s_tdefl_small_dist_sym[512] = {
0, 1, 2, 3, 4, 4, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8,
8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11,
11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17};
static const mz_uint8 s_tdefl_small_dist_extra[512] = {
0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7};
static const mz_uint8 s_tdefl_large_dist_sym[128] = {
0, 0, 18, 19, 20, 20, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23, 24, 24, 24,
24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26,
26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 27, 27, 27,
27, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29,
29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29};
static const mz_uint8 s_tdefl_large_dist_extra[128] = {
0, 0, 8, 8, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11,
11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13};
// Radix sorts tdefl_sym_freq[] array by 16-bit key m_key. Returns ptr to sorted
// values.
typedef struct { mz_uint16 m_key, m_sym_index; } tdefl_sym_freq;
static tdefl_sym_freq *tdefl_radix_sort_syms(mz_uint num_syms,
tdefl_sym_freq *pSyms0,
tdefl_sym_freq *pSyms1) {
mz_uint32 total_passes = 2, pass_shift, pass, i, hist[256 * 2];
tdefl_sym_freq *pCur_syms = pSyms0, *pNew_syms = pSyms1;
MZ_CLEAR_OBJ(hist);
for (i = 0; i < num_syms; i++) {
mz_uint freq = pSyms0[i].m_key;
hist[freq & 0xFF]++;
hist[256 + ((freq >> 8) & 0xFF)]++;
}
while ((total_passes > 1) && (num_syms == hist[(total_passes - 1) * 256]))
total_passes--;
for (pass_shift = 0, pass = 0; pass < total_passes; pass++, pass_shift += 8) {
const mz_uint32 *pHist = &hist[pass << 8];
mz_uint offsets[256], cur_ofs = 0;
for (i = 0; i < 256; i++) {
offsets[i] = cur_ofs;
cur_ofs += pHist[i];
}
for (i = 0; i < num_syms; i++)
pNew_syms[offsets[(pCur_syms[i].m_key >> pass_shift) & 0xFF]++] =
pCur_syms[i];
{
tdefl_sym_freq *t = pCur_syms;
pCur_syms = pNew_syms;
pNew_syms = t;
}
}
return pCur_syms;
}
// tdefl_calculate_minimum_redundancy() originally written by: Alistair Moffat,
// alistair@cs.mu.oz.au, Jyrki Katajainen, jyrki@diku.dk, November 1996.
static void tdefl_calculate_minimum_redundancy(tdefl_sym_freq *A, int n) {
int root, leaf, next, avbl, used, dpth;
if (n == 0)
return;
else if (n == 1) {
A[0].m_key = 1;
return;
}
A[0].m_key += A[1].m_key;
root = 0;
leaf = 2;
for (next = 1; next < n - 1; next++) {
if (leaf >= n || A[root].m_key < A[leaf].m_key) {
A[next].m_key = A[root].m_key;
A[root++].m_key = (mz_uint16)next;
} else
A[next].m_key = A[leaf++].m_key;
if (leaf >= n || (root < next && A[root].m_key < A[leaf].m_key)) {
A[next].m_key = (mz_uint16)(A[next].m_key + A[root].m_key);
A[root++].m_key = (mz_uint16)next;
} else
A[next].m_key = (mz_uint16)(A[next].m_key + A[leaf++].m_key);
}
A[n - 2].m_key = 0;
for (next = n - 3; next >= 0; next--)
A[next].m_key = A[A[next].m_key].m_key + 1;
avbl = 1;
used = dpth = 0;
root = n - 2;
next = n - 1;
while (avbl > 0) {
while (root >= 0 && (int)A[root].m_key == dpth) {
used++;
root--;
}
while (avbl > used) {
A[next--].m_key = (mz_uint16)(dpth);
avbl--;
}
avbl = 2 * used;
dpth++;
used = 0;
}
}
// Limits canonical Huffman code table's max code size.
enum { TDEFL_MAX_SUPPORTED_HUFF_CODESIZE = 32 };
static void tdefl_huffman_enforce_max_code_size(int *pNum_codes,
int code_list_len,
int max_code_size) {
int i;
mz_uint32 total = 0;
if (code_list_len <= 1) return;
for (i = max_code_size + 1; i <= TDEFL_MAX_SUPPORTED_HUFF_CODESIZE; i++)
pNum_codes[max_code_size] += pNum_codes[i];
for (i = max_code_size; i > 0; i--)
total += (((mz_uint32)pNum_codes[i]) << (max_code_size - i));
while (total != (1UL << max_code_size)) {
pNum_codes[max_code_size]--;
for (i = max_code_size - 1; i > 0; i--)
if (pNum_codes[i]) {
pNum_codes[i]--;
pNum_codes[i + 1] += 2;
break;
}
total--;
}
}
static void tdefl_optimize_huffman_table(tdefl_compressor *d, int table_num,
int table_len, int code_size_limit,
int static_table) {
int i, j, l, num_codes[1 + TDEFL_MAX_SUPPORTED_HUFF_CODESIZE];
mz_uint next_code[TDEFL_MAX_SUPPORTED_HUFF_CODESIZE + 1];
MZ_CLEAR_OBJ(num_codes);
if (static_table) {
for (i = 0; i < table_len; i++)
num_codes[d->m_huff_code_sizes[table_num][i]]++;
} else {
tdefl_sym_freq syms0[TDEFL_MAX_HUFF_SYMBOLS], syms1[TDEFL_MAX_HUFF_SYMBOLS],
*pSyms;
int num_used_syms = 0;
const mz_uint16 *pSym_count = &d->m_huff_count[table_num][0];
for (i = 0; i < table_len; i++)
if (pSym_count[i]) {
syms0[num_used_syms].m_key = (mz_uint16)pSym_count[i];
syms0[num_used_syms++].m_sym_index = (mz_uint16)i;
}
pSyms = tdefl_radix_sort_syms(num_used_syms, syms0, syms1);
tdefl_calculate_minimum_redundancy(pSyms, num_used_syms);
for (i = 0; i < num_used_syms; i++) num_codes[pSyms[i].m_key]++;
tdefl_huffman_enforce_max_code_size(num_codes, num_used_syms,
code_size_limit);
MZ_CLEAR_OBJ(d->m_huff_code_sizes[table_num]);
MZ_CLEAR_OBJ(d->m_huff_codes[table_num]);
for (i = 1, j = num_used_syms; i <= code_size_limit; i++)
for (l = num_codes[i]; l > 0; l--)
d->m_huff_code_sizes[table_num][pSyms[--j].m_sym_index] = (mz_uint8)(i);
}
next_code[1] = 0;
for (j = 0, i = 2; i <= code_size_limit; i++)
next_code[i] = j = ((j + num_codes[i - 1]) << 1);
for (i = 0; i < table_len; i++) {
mz_uint rev_code = 0, code, code_size;
if ((code_size = d->m_huff_code_sizes[table_num][i]) == 0) continue;
code = next_code[code_size]++;
for (l = code_size; l > 0; l--, code >>= 1)
rev_code = (rev_code << 1) | (code & 1);
d->m_huff_codes[table_num][i] = (mz_uint16)rev_code;
}
}
#define TDEFL_PUT_BITS(b, l) \
do { \
mz_uint bits = b; \
mz_uint len = l; \
MZ_ASSERT(bits <= ((1U << len) - 1U)); \
d->m_bit_buffer |= (bits << d->m_bits_in); \
d->m_bits_in += len; \
while (d->m_bits_in >= 8) { \
if (d->m_pOutput_buf < d->m_pOutput_buf_end) \
*d->m_pOutput_buf++ = (mz_uint8)(d->m_bit_buffer); \
d->m_bit_buffer >>= 8; \
d->m_bits_in -= 8; \
} \
} \
MZ_MACRO_END
#define TDEFL_RLE_PREV_CODE_SIZE() \
{ \
if (rle_repeat_count) { \
if (rle_repeat_count < 3) { \
d->m_huff_count[2][prev_code_size] = (mz_uint16)( \
d->m_huff_count[2][prev_code_size] + rle_repeat_count); \
while (rle_repeat_count--) \
packed_code_sizes[num_packed_code_sizes++] = prev_code_size; \
} else { \
d->m_huff_count[2][16] = (mz_uint16)(d->m_huff_count[2][16] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 16; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_repeat_count - 3); \
} \
rle_repeat_count = 0; \
} \
}
#define TDEFL_RLE_ZERO_CODE_SIZE() \
{ \
if (rle_z_count) { \
if (rle_z_count < 3) { \
d->m_huff_count[2][0] = \
(mz_uint16)(d->m_huff_count[2][0] + rle_z_count); \
while (rle_z_count--) packed_code_sizes[num_packed_code_sizes++] = 0; \
} else if (rle_z_count <= 10) { \
d->m_huff_count[2][17] = (mz_uint16)(d->m_huff_count[2][17] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 17; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_z_count - 3); \
} else { \
d->m_huff_count[2][18] = (mz_uint16)(d->m_huff_count[2][18] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 18; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_z_count - 11); \
} \
rle_z_count = 0; \
} \
}
static mz_uint8 s_tdefl_packed_code_size_syms_swizzle[] = {
16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15};
static void tdefl_start_dynamic_block(tdefl_compressor *d) {
int num_lit_codes, num_dist_codes, num_bit_lengths;
mz_uint i, total_code_sizes_to_pack, num_packed_code_sizes, rle_z_count,
rle_repeat_count, packed_code_sizes_index;
mz_uint8
code_sizes_to_pack[TDEFL_MAX_HUFF_SYMBOLS_0 + TDEFL_MAX_HUFF_SYMBOLS_1],
packed_code_sizes[TDEFL_MAX_HUFF_SYMBOLS_0 + TDEFL_MAX_HUFF_SYMBOLS_1],
prev_code_size = 0xFF;
d->m_huff_count[0][256] = 1;
tdefl_optimize_huffman_table(d, 0, TDEFL_MAX_HUFF_SYMBOLS_0, 15, MZ_FALSE);
tdefl_optimize_huffman_table(d, 1, TDEFL_MAX_HUFF_SYMBOLS_1, 15, MZ_FALSE);
for (num_lit_codes = 286; num_lit_codes > 257; num_lit_codes--)
if (d->m_huff_code_sizes[0][num_lit_codes - 1]) break;
for (num_dist_codes = 30; num_dist_codes > 1; num_dist_codes--)
if (d->m_huff_code_sizes[1][num_dist_codes - 1]) break;
memcpy(code_sizes_to_pack, &d->m_huff_code_sizes[0][0], num_lit_codes);
memcpy(code_sizes_to_pack + num_lit_codes, &d->m_huff_code_sizes[1][0],
num_dist_codes);
total_code_sizes_to_pack = num_lit_codes + num_dist_codes;
num_packed_code_sizes = 0;
rle_z_count = 0;
rle_repeat_count = 0;
memset(&d->m_huff_count[2][0], 0,
sizeof(d->m_huff_count[2][0]) * TDEFL_MAX_HUFF_SYMBOLS_2);
for (i = 0; i < total_code_sizes_to_pack; i++) {
mz_uint8 code_size = code_sizes_to_pack[i];
if (!code_size) {
TDEFL_RLE_PREV_CODE_SIZE();
if (++rle_z_count == 138) {
TDEFL_RLE_ZERO_CODE_SIZE();
}
} else {
TDEFL_RLE_ZERO_CODE_SIZE();
if (code_size != prev_code_size) {
TDEFL_RLE_PREV_CODE_SIZE();
d->m_huff_count[2][code_size] =
(mz_uint16)(d->m_huff_count[2][code_size] + 1);
packed_code_sizes[num_packed_code_sizes++] = code_size;
} else if (++rle_repeat_count == 6) {
TDEFL_RLE_PREV_CODE_SIZE();
}
}
prev_code_size = code_size;
}
if (rle_repeat_count) {
TDEFL_RLE_PREV_CODE_SIZE();
} else {
TDEFL_RLE_ZERO_CODE_SIZE();
}
tdefl_optimize_huffman_table(d, 2, TDEFL_MAX_HUFF_SYMBOLS_2, 7, MZ_FALSE);
TDEFL_PUT_BITS(2, 2);
TDEFL_PUT_BITS(num_lit_codes - 257, 5);
TDEFL_PUT_BITS(num_dist_codes - 1, 5);
for (num_bit_lengths = 18; num_bit_lengths >= 0; num_bit_lengths--)
if (d->m_huff_code_sizes
[2][s_tdefl_packed_code_size_syms_swizzle[num_bit_lengths]])
break;
num_bit_lengths = MZ_MAX(4, (num_bit_lengths + 1));
TDEFL_PUT_BITS(num_bit_lengths - 4, 4);
for (i = 0; (int)i < num_bit_lengths; i++)
TDEFL_PUT_BITS(
d->m_huff_code_sizes[2][s_tdefl_packed_code_size_syms_swizzle[i]], 3);
for (packed_code_sizes_index = 0;
packed_code_sizes_index < num_packed_code_sizes;) {
mz_uint code = packed_code_sizes[packed_code_sizes_index++];
MZ_ASSERT(code < TDEFL_MAX_HUFF_SYMBOLS_2);
TDEFL_PUT_BITS(d->m_huff_codes[2][code], d->m_huff_code_sizes[2][code]);
if (code >= 16)
TDEFL_PUT_BITS(packed_code_sizes[packed_code_sizes_index++],
"\02\03\07"[code - 16]);
}
}
static void tdefl_start_static_block(tdefl_compressor *d) {
mz_uint i;
mz_uint8 *p = &d->m_huff_code_sizes[0][0];
for (i = 0; i <= 143; ++i) *p++ = 8;
for (; i <= 255; ++i) *p++ = 9;
for (; i <= 279; ++i) *p++ = 7;
for (; i <= 287; ++i) *p++ = 8;
memset(d->m_huff_code_sizes[1], 5, 32);
tdefl_optimize_huffman_table(d, 0, 288, 15, MZ_TRUE);
tdefl_optimize_huffman_table(d, 1, 32, 15, MZ_TRUE);
TDEFL_PUT_BITS(1, 2);
}
static const mz_uint mz_bitmasks[17] = {
0x0000, 0x0001, 0x0003, 0x0007, 0x000F, 0x001F, 0x003F, 0x007F, 0x00FF,
0x01FF, 0x03FF, 0x07FF, 0x0FFF, 0x1FFF, 0x3FFF, 0x7FFF, 0xFFFF};
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN && \
MINIZ_HAS_64BIT_REGISTERS
static mz_bool tdefl_compress_lz_codes(tdefl_compressor *d) {
mz_uint flags;
mz_uint8 *pLZ_codes;
mz_uint8 *pOutput_buf = d->m_pOutput_buf;
mz_uint8 *pLZ_code_buf_end = d->m_pLZ_code_buf;
mz_uint64 bit_buffer = d->m_bit_buffer;
mz_uint bits_in = d->m_bits_in;
#define TDEFL_PUT_BITS_FAST(b, l) \
{ \
bit_buffer |= (((mz_uint64)(b)) << bits_in); \
bits_in += (l); \
}
flags = 1;
for (pLZ_codes = d->m_lz_code_buf; pLZ_codes < pLZ_code_buf_end;
flags >>= 1) {
if (flags == 1) flags = *pLZ_codes++ | 0x100;
if (flags & 1) {
mz_uint s0, s1, n0, n1, sym, num_extra_bits;
mz_uint match_len = pLZ_codes[0],
match_dist = *(const mz_uint16 *)(pLZ_codes + 1);
pLZ_codes += 3;
MZ_ASSERT(d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][s_tdefl_len_sym[match_len]],
d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS_FAST(match_len & mz_bitmasks[s_tdefl_len_extra[match_len]],
s_tdefl_len_extra[match_len]);
// This sequence coaxes MSVC into using cmov's vs. jmp's.
s0 = s_tdefl_small_dist_sym[match_dist & 511];
n0 = s_tdefl_small_dist_extra[match_dist & 511];
s1 = s_tdefl_large_dist_sym[match_dist >> 8];
n1 = s_tdefl_large_dist_extra[match_dist >> 8];
sym = (match_dist < 512) ? s0 : s1;
num_extra_bits = (match_dist < 512) ? n0 : n1;
MZ_ASSERT(d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[1][sym],
d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS_FAST(match_dist & mz_bitmasks[num_extra_bits],
num_extra_bits);
} else {
mz_uint lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
if (((flags & 2) == 0) && (pLZ_codes < pLZ_code_buf_end)) {
flags >>= 1;
lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
if (((flags & 2) == 0) && (pLZ_codes < pLZ_code_buf_end)) {
flags >>= 1;
lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
}
}
}
if (pOutput_buf >= d->m_pOutput_buf_end) return MZ_FALSE;
*(mz_uint64 *)pOutput_buf = bit_buffer;
pOutput_buf += (bits_in >> 3);
bit_buffer >>= (bits_in & ~7);
bits_in &= 7;
}
#undef TDEFL_PUT_BITS_FAST
d->m_pOutput_buf = pOutput_buf;
d->m_bits_in = 0;
d->m_bit_buffer = 0;
while (bits_in) {
mz_uint32 n = MZ_MIN(bits_in, 16);
TDEFL_PUT_BITS((mz_uint)bit_buffer & mz_bitmasks[n], n);
bit_buffer >>= n;
bits_in -= n;
}
TDEFL_PUT_BITS(d->m_huff_codes[0][256], d->m_huff_code_sizes[0][256]);
return (d->m_pOutput_buf < d->m_pOutput_buf_end);
}
#else
static mz_bool tdefl_compress_lz_codes(tdefl_compressor *d) {
mz_uint flags;
mz_uint8 *pLZ_codes;
flags = 1;
for (pLZ_codes = d->m_lz_code_buf; pLZ_codes < d->m_pLZ_code_buf;
flags >>= 1) {
if (flags == 1) flags = *pLZ_codes++ | 0x100;
if (flags & 1) {
mz_uint sym, num_extra_bits;
mz_uint match_len = pLZ_codes[0],
match_dist = (pLZ_codes[1] | (pLZ_codes[2] << 8));
pLZ_codes += 3;
MZ_ASSERT(d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS(d->m_huff_codes[0][s_tdefl_len_sym[match_len]],
d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS(match_len & mz_bitmasks[s_tdefl_len_extra[match_len]],
s_tdefl_len_extra[match_len]);
if (match_dist < 512) {
sym = s_tdefl_small_dist_sym[match_dist];
num_extra_bits = s_tdefl_small_dist_extra[match_dist];
} else {
sym = s_tdefl_large_dist_sym[match_dist >> 8];
num_extra_bits = s_tdefl_large_dist_extra[match_dist >> 8];
}
MZ_ASSERT(d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS(d->m_huff_codes[1][sym], d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS(match_dist & mz_bitmasks[num_extra_bits], num_extra_bits);
} else {
mz_uint lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS(d->m_huff_codes[0][lit], d->m_huff_code_sizes[0][lit]);
}
}
TDEFL_PUT_BITS(d->m_huff_codes[0][256], d->m_huff_code_sizes[0][256]);
return (d->m_pOutput_buf < d->m_pOutput_buf_end);
}
#endif // MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN &&
// MINIZ_HAS_64BIT_REGISTERS
static mz_bool tdefl_compress_block(tdefl_compressor *d, mz_bool static_block) {
if (static_block)
tdefl_start_static_block(d);
else
tdefl_start_dynamic_block(d);
return tdefl_compress_lz_codes(d);
}
static int tdefl_flush_block(tdefl_compressor *d, int flush) {
mz_uint saved_bit_buf, saved_bits_in;
mz_uint8 *pSaved_output_buf;
mz_bool comp_block_succeeded = MZ_FALSE;
int n, use_raw_block =
((d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS) != 0) &&
(d->m_lookahead_pos - d->m_lz_code_buf_dict_pos) <= d->m_dict_size;
mz_uint8 *pOutput_buf_start =
((d->m_pPut_buf_func == NULL) &&
((*d->m_pOut_buf_size - d->m_out_buf_ofs) >= TDEFL_OUT_BUF_SIZE))
? ((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs)
: d->m_output_buf;
d->m_pOutput_buf = pOutput_buf_start;
d->m_pOutput_buf_end = d->m_pOutput_buf + TDEFL_OUT_BUF_SIZE - 16;
MZ_ASSERT(!d->m_output_flush_remaining);
d->m_output_flush_ofs = 0;
d->m_output_flush_remaining = 0;
*d->m_pLZ_flags = (mz_uint8)(*d->m_pLZ_flags >> d->m_num_flags_left);
d->m_pLZ_code_buf -= (d->m_num_flags_left == 8);
if ((d->m_flags & TDEFL_WRITE_ZLIB_HEADER) && (!d->m_block_index)) {
TDEFL_PUT_BITS(0x78, 8);
TDEFL_PUT_BITS(0x01, 8);
}
TDEFL_PUT_BITS(flush == TDEFL_FINISH, 1);
pSaved_output_buf = d->m_pOutput_buf;
saved_bit_buf = d->m_bit_buffer;
saved_bits_in = d->m_bits_in;
if (!use_raw_block)
comp_block_succeeded =
tdefl_compress_block(d, (d->m_flags & TDEFL_FORCE_ALL_STATIC_BLOCKS) ||
(d->m_total_lz_bytes < 48));
// If the block gets expanded, forget the current contents of the output
// buffer and send a raw block instead.
if (((use_raw_block) ||
((d->m_total_lz_bytes) && ((d->m_pOutput_buf - pSaved_output_buf + 1U) >=
d->m_total_lz_bytes))) &&
((d->m_lookahead_pos - d->m_lz_code_buf_dict_pos) <= d->m_dict_size)) {
mz_uint i;
d->m_pOutput_buf = pSaved_output_buf;
d->m_bit_buffer = saved_bit_buf, d->m_bits_in = saved_bits_in;
TDEFL_PUT_BITS(0, 2);
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
for (i = 2; i; --i, d->m_total_lz_bytes ^= 0xFFFF) {
TDEFL_PUT_BITS(d->m_total_lz_bytes & 0xFFFF, 16);
}
for (i = 0; i < d->m_total_lz_bytes; ++i) {
TDEFL_PUT_BITS(
d->m_dict[(d->m_lz_code_buf_dict_pos + i) & TDEFL_LZ_DICT_SIZE_MASK],
8);
}
}
// Check for the extremely unlikely (if not impossible) case of the compressed
// block not fitting into the output buffer when using dynamic codes.
else if (!comp_block_succeeded) {
d->m_pOutput_buf = pSaved_output_buf;
d->m_bit_buffer = saved_bit_buf, d->m_bits_in = saved_bits_in;
tdefl_compress_block(d, MZ_TRUE);
}
if (flush) {
if (flush == TDEFL_FINISH) {
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
if (d->m_flags & TDEFL_WRITE_ZLIB_HEADER) {
mz_uint i, a = d->m_adler32;
for (i = 0; i < 4; i++) {
TDEFL_PUT_BITS((a >> 24) & 0xFF, 8);
a <<= 8;
}
}
} else {
mz_uint i, z = 0;
TDEFL_PUT_BITS(0, 3);
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
for (i = 2; i; --i, z ^= 0xFFFF) {
TDEFL_PUT_BITS(z & 0xFFFF, 16);
}
}
}
MZ_ASSERT(d->m_pOutput_buf < d->m_pOutput_buf_end);
memset(&d->m_huff_count[0][0], 0,
sizeof(d->m_huff_count[0][0]) * TDEFL_MAX_HUFF_SYMBOLS_0);
memset(&d->m_huff_count[1][0], 0,
sizeof(d->m_huff_count[1][0]) * TDEFL_MAX_HUFF_SYMBOLS_1);
d->m_pLZ_code_buf = d->m_lz_code_buf + 1;
d->m_pLZ_flags = d->m_lz_code_buf;
d->m_num_flags_left = 8;
d->m_lz_code_buf_dict_pos += d->m_total_lz_bytes;
d->m_total_lz_bytes = 0;
d->m_block_index++;
if ((n = (int)(d->m_pOutput_buf - pOutput_buf_start)) != 0) {
if (d->m_pPut_buf_func) {
*d->m_pIn_buf_size = d->m_pSrc - (const mz_uint8 *)d->m_pIn_buf;
if (!(*d->m_pPut_buf_func)(d->m_output_buf, n, d->m_pPut_buf_user))
return (d->m_prev_return_status = TDEFL_STATUS_PUT_BUF_FAILED);
} else if (pOutput_buf_start == d->m_output_buf) {
int bytes_to_copy = (int)MZ_MIN(
(size_t)n, (size_t)(*d->m_pOut_buf_size - d->m_out_buf_ofs));
memcpy((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs, d->m_output_buf,
bytes_to_copy);
d->m_out_buf_ofs += bytes_to_copy;
if ((n -= bytes_to_copy) != 0) {
d->m_output_flush_ofs = bytes_to_copy;
d->m_output_flush_remaining = n;
}
} else {
d->m_out_buf_ofs += n;
}
}
return d->m_output_flush_remaining;
}
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
#define TDEFL_READ_UNALIGNED_WORD(p) *(const mz_uint16 *)(p)
static MZ_FORCEINLINE void tdefl_find_match(
tdefl_compressor *d, mz_uint lookahead_pos, mz_uint max_dist,
mz_uint max_match_len, mz_uint *pMatch_dist, mz_uint *pMatch_len) {
mz_uint dist, pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK,
match_len = *pMatch_len, probe_pos = pos, next_probe_pos,
probe_len;
mz_uint num_probes_left = d->m_max_probes[match_len >= 32];
const mz_uint16 *s = (const mz_uint16 *)(d->m_dict + pos), *p, *q;
mz_uint16 c01 = TDEFL_READ_UNALIGNED_WORD(&d->m_dict[pos + match_len - 1]),
s01 = TDEFL_READ_UNALIGNED_WORD(s);
MZ_ASSERT(max_match_len <= TDEFL_MAX_MATCH_LEN);
if (max_match_len <= match_len) return;
for (;;) {
for (;;) {
if (--num_probes_left == 0) return;
#define TDEFL_PROBE \
next_probe_pos = d->m_next[probe_pos]; \
if ((!next_probe_pos) || \
((dist = (mz_uint16)(lookahead_pos - next_probe_pos)) > max_dist)) \
return; \
probe_pos = next_probe_pos & TDEFL_LZ_DICT_SIZE_MASK; \
if (TDEFL_READ_UNALIGNED_WORD(&d->m_dict[probe_pos + match_len - 1]) == c01) \
break;
TDEFL_PROBE;
TDEFL_PROBE;
TDEFL_PROBE;
}
if (!dist) break;
q = (const mz_uint16 *)(d->m_dict + probe_pos);
if (TDEFL_READ_UNALIGNED_WORD(q) != s01) continue;
p = s;
probe_len = 32;
do {
} while (
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(--probe_len > 0));
if (!probe_len) {
*pMatch_dist = dist;
*pMatch_len = MZ_MIN(max_match_len, TDEFL_MAX_MATCH_LEN);
break;
} else if ((probe_len = ((mz_uint)(p - s) * 2) +
(mz_uint)(*(const mz_uint8 *)p ==
*(const mz_uint8 *)q)) > match_len) {
*pMatch_dist = dist;
if ((*pMatch_len = match_len = MZ_MIN(max_match_len, probe_len)) ==
max_match_len)
break;
c01 = TDEFL_READ_UNALIGNED_WORD(&d->m_dict[pos + match_len - 1]);
}
}
}
#else
static MZ_FORCEINLINE void tdefl_find_match(
tdefl_compressor *d, mz_uint lookahead_pos, mz_uint max_dist,
mz_uint max_match_len, mz_uint *pMatch_dist, mz_uint *pMatch_len) {
mz_uint dist, pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK,
match_len = *pMatch_len, probe_pos = pos, next_probe_pos,
probe_len;
mz_uint num_probes_left = d->m_max_probes[match_len >= 32];
const mz_uint8 *s = d->m_dict + pos, *p, *q;
mz_uint8 c0 = d->m_dict[pos + match_len], c1 = d->m_dict[pos + match_len - 1];
MZ_ASSERT(max_match_len <= TDEFL_MAX_MATCH_LEN);
if (max_match_len <= match_len) return;
for (;;) {
for (;;) {
if (--num_probes_left == 0) return;
#define TDEFL_PROBE \
next_probe_pos = d->m_next[probe_pos]; \
if ((!next_probe_pos) || \
((dist = (mz_uint16)(lookahead_pos - next_probe_pos)) > max_dist)) \
return; \
probe_pos = next_probe_pos & TDEFL_LZ_DICT_SIZE_MASK; \
if ((d->m_dict[probe_pos + match_len] == c0) && \
(d->m_dict[probe_pos + match_len - 1] == c1)) \
break;
TDEFL_PROBE;
TDEFL_PROBE;
TDEFL_PROBE;
}
if (!dist) break;
p = s;
q = d->m_dict + probe_pos;
for (probe_len = 0; probe_len < max_match_len; probe_len++)
if (*p++ != *q++) break;
if (probe_len > match_len) {
*pMatch_dist = dist;
if ((*pMatch_len = match_len = probe_len) == max_match_len) return;
c0 = d->m_dict[pos + match_len];
c1 = d->m_dict[pos + match_len - 1];
}
}
}
#endif // #if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
static mz_bool tdefl_compress_fast(tdefl_compressor *d) {
// Faster, minimally featured LZRW1-style match+parse loop with better
// register utilization. Intended for applications where raw throughput is
// valued more highly than ratio.
mz_uint lookahead_pos = d->m_lookahead_pos,
lookahead_size = d->m_lookahead_size, dict_size = d->m_dict_size,
total_lz_bytes = d->m_total_lz_bytes,
num_flags_left = d->m_num_flags_left;
mz_uint8 *pLZ_code_buf = d->m_pLZ_code_buf, *pLZ_flags = d->m_pLZ_flags;
mz_uint cur_pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK;
while ((d->m_src_buf_left) || ((d->m_flush) && (lookahead_size))) {
const mz_uint TDEFL_COMP_FAST_LOOKAHEAD_SIZE = 4096;
mz_uint dst_pos =
(lookahead_pos + lookahead_size) & TDEFL_LZ_DICT_SIZE_MASK;
mz_uint num_bytes_to_process = (mz_uint)MZ_MIN(
d->m_src_buf_left, TDEFL_COMP_FAST_LOOKAHEAD_SIZE - lookahead_size);
d->m_src_buf_left -= num_bytes_to_process;
lookahead_size += num_bytes_to_process;
while (num_bytes_to_process) {
mz_uint32 n = MZ_MIN(TDEFL_LZ_DICT_SIZE - dst_pos, num_bytes_to_process);
memcpy(d->m_dict + dst_pos, d->m_pSrc, n);
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
memcpy(d->m_dict + TDEFL_LZ_DICT_SIZE + dst_pos, d->m_pSrc,
MZ_MIN(n, (TDEFL_MAX_MATCH_LEN - 1) - dst_pos));
d->m_pSrc += n;
dst_pos = (dst_pos + n) & TDEFL_LZ_DICT_SIZE_MASK;
num_bytes_to_process -= n;
}
dict_size = MZ_MIN(TDEFL_LZ_DICT_SIZE - lookahead_size, dict_size);
if ((!d->m_flush) && (lookahead_size < TDEFL_COMP_FAST_LOOKAHEAD_SIZE))
break;
while (lookahead_size >= 4) {
mz_uint cur_match_dist, cur_match_len = 1;
mz_uint8 *pCur_dict = d->m_dict + cur_pos;
mz_uint first_trigram = (*(const mz_uint32 *)pCur_dict) & 0xFFFFFF;
mz_uint hash =
(first_trigram ^ (first_trigram >> (24 - (TDEFL_LZ_HASH_BITS - 8)))) &
TDEFL_LEVEL1_HASH_SIZE_MASK;
mz_uint probe_pos = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)lookahead_pos;
if (((cur_match_dist = (mz_uint16)(lookahead_pos - probe_pos)) <=
dict_size) &&
((*(const mz_uint32 *)(d->m_dict +
(probe_pos &= TDEFL_LZ_DICT_SIZE_MASK)) &
0xFFFFFF) == first_trigram)) {
const mz_uint16 *p = (const mz_uint16 *)pCur_dict;
const mz_uint16 *q = (const mz_uint16 *)(d->m_dict + probe_pos);
mz_uint32 probe_len = 32;
do {
} while ((TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(--probe_len > 0));
cur_match_len = ((mz_uint)(p - (const mz_uint16 *)pCur_dict) * 2) +
(mz_uint)(*(const mz_uint8 *)p == *(const mz_uint8 *)q);
if (!probe_len)
cur_match_len = cur_match_dist ? TDEFL_MAX_MATCH_LEN : 0;
if ((cur_match_len < TDEFL_MIN_MATCH_LEN) ||
((cur_match_len == TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 8U * 1024U))) {
cur_match_len = 1;
*pLZ_code_buf++ = (mz_uint8)first_trigram;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
d->m_huff_count[0][(mz_uint8)first_trigram]++;
} else {
mz_uint32 s0, s1;
cur_match_len = MZ_MIN(cur_match_len, lookahead_size);
MZ_ASSERT((cur_match_len >= TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 1) &&
(cur_match_dist <= TDEFL_LZ_DICT_SIZE));
cur_match_dist--;
pLZ_code_buf[0] = (mz_uint8)(cur_match_len - TDEFL_MIN_MATCH_LEN);
*(mz_uint16 *)(&pLZ_code_buf[1]) = (mz_uint16)cur_match_dist;
pLZ_code_buf += 3;
*pLZ_flags = (mz_uint8)((*pLZ_flags >> 1) | 0x80);
s0 = s_tdefl_small_dist_sym[cur_match_dist & 511];
s1 = s_tdefl_large_dist_sym[cur_match_dist >> 8];
d->m_huff_count[1][(cur_match_dist < 512) ? s0 : s1]++;
d->m_huff_count[0][s_tdefl_len_sym[cur_match_len -
TDEFL_MIN_MATCH_LEN]]++;
}
} else {
*pLZ_code_buf++ = (mz_uint8)first_trigram;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
d->m_huff_count[0][(mz_uint8)first_trigram]++;
}
if (--num_flags_left == 0) {
num_flags_left = 8;
pLZ_flags = pLZ_code_buf++;
}
total_lz_bytes += cur_match_len;
lookahead_pos += cur_match_len;
dict_size = MZ_MIN(dict_size + cur_match_len, TDEFL_LZ_DICT_SIZE);
cur_pos = (cur_pos + cur_match_len) & TDEFL_LZ_DICT_SIZE_MASK;
MZ_ASSERT(lookahead_size >= cur_match_len);
lookahead_size -= cur_match_len;
if (pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) {
int n;
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
total_lz_bytes = d->m_total_lz_bytes;
pLZ_code_buf = d->m_pLZ_code_buf;
pLZ_flags = d->m_pLZ_flags;
num_flags_left = d->m_num_flags_left;
}
}
while (lookahead_size) {
mz_uint8 lit = d->m_dict[cur_pos];
total_lz_bytes++;
*pLZ_code_buf++ = lit;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
if (--num_flags_left == 0) {
num_flags_left = 8;
pLZ_flags = pLZ_code_buf++;
}
d->m_huff_count[0][lit]++;
lookahead_pos++;
dict_size = MZ_MIN(dict_size + 1, TDEFL_LZ_DICT_SIZE);
cur_pos = (cur_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK;
lookahead_size--;
if (pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) {
int n;
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
total_lz_bytes = d->m_total_lz_bytes;
pLZ_code_buf = d->m_pLZ_code_buf;
pLZ_flags = d->m_pLZ_flags;
num_flags_left = d->m_num_flags_left;
}
}
}
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
return MZ_TRUE;
}
#endif // MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
static MZ_FORCEINLINE void tdefl_record_literal(tdefl_compressor *d,
mz_uint8 lit) {
d->m_total_lz_bytes++;
*d->m_pLZ_code_buf++ = lit;
*d->m_pLZ_flags = (mz_uint8)(*d->m_pLZ_flags >> 1);
if (--d->m_num_flags_left == 0) {
d->m_num_flags_left = 8;
d->m_pLZ_flags = d->m_pLZ_code_buf++;
}
d->m_huff_count[0][lit]++;
}
static MZ_FORCEINLINE void tdefl_record_match(tdefl_compressor *d,
mz_uint match_len,
mz_uint match_dist) {
mz_uint32 s0, s1;
MZ_ASSERT((match_len >= TDEFL_MIN_MATCH_LEN) && (match_dist >= 1) &&
(match_dist <= TDEFL_LZ_DICT_SIZE));
d->m_total_lz_bytes += match_len;
d->m_pLZ_code_buf[0] = (mz_uint8)(match_len - TDEFL_MIN_MATCH_LEN);
match_dist -= 1;
d->m_pLZ_code_buf[1] = (mz_uint8)(match_dist & 0xFF);
d->m_pLZ_code_buf[2] = (mz_uint8)(match_dist >> 8);
d->m_pLZ_code_buf += 3;
*d->m_pLZ_flags = (mz_uint8)((*d->m_pLZ_flags >> 1) | 0x80);
if (--d->m_num_flags_left == 0) {
d->m_num_flags_left = 8;
d->m_pLZ_flags = d->m_pLZ_code_buf++;
}
s0 = s_tdefl_small_dist_sym[match_dist & 511];
s1 = s_tdefl_large_dist_sym[(match_dist >> 8) & 127];
d->m_huff_count[1][(match_dist < 512) ? s0 : s1]++;
if (match_len >= TDEFL_MIN_MATCH_LEN)
d->m_huff_count[0][s_tdefl_len_sym[match_len - TDEFL_MIN_MATCH_LEN]]++;
}
static mz_bool tdefl_compress_normal(tdefl_compressor *d) {
const mz_uint8 *pSrc = d->m_pSrc;
size_t src_buf_left = d->m_src_buf_left;
tdefl_flush flush = d->m_flush;
while ((src_buf_left) || ((flush) && (d->m_lookahead_size))) {
mz_uint len_to_move, cur_match_dist, cur_match_len, cur_pos;
// Update dictionary and hash chains. Keeps the lookahead size equal to
// TDEFL_MAX_MATCH_LEN.
if ((d->m_lookahead_size + d->m_dict_size) >= (TDEFL_MIN_MATCH_LEN - 1)) {
mz_uint dst_pos = (d->m_lookahead_pos + d->m_lookahead_size) &
TDEFL_LZ_DICT_SIZE_MASK,
ins_pos = d->m_lookahead_pos + d->m_lookahead_size - 2;
mz_uint hash = (d->m_dict[ins_pos & TDEFL_LZ_DICT_SIZE_MASK]
<< TDEFL_LZ_HASH_SHIFT) ^
d->m_dict[(ins_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK];
mz_uint num_bytes_to_process = (mz_uint)MZ_MIN(
src_buf_left, TDEFL_MAX_MATCH_LEN - d->m_lookahead_size);
const mz_uint8 *pSrc_end = pSrc + num_bytes_to_process;
src_buf_left -= num_bytes_to_process;
d->m_lookahead_size += num_bytes_to_process;
while (pSrc != pSrc_end) {
mz_uint8 c = *pSrc++;
d->m_dict[dst_pos] = c;
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
d->m_dict[TDEFL_LZ_DICT_SIZE + dst_pos] = c;
hash = ((hash << TDEFL_LZ_HASH_SHIFT) ^ c) & (TDEFL_LZ_HASH_SIZE - 1);
d->m_next[ins_pos & TDEFL_LZ_DICT_SIZE_MASK] = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)(ins_pos);
dst_pos = (dst_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK;
ins_pos++;
}
} else {
while ((src_buf_left) && (d->m_lookahead_size < TDEFL_MAX_MATCH_LEN)) {
mz_uint8 c = *pSrc++;
mz_uint dst_pos = (d->m_lookahead_pos + d->m_lookahead_size) &
TDEFL_LZ_DICT_SIZE_MASK;
src_buf_left--;
d->m_dict[dst_pos] = c;
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
d->m_dict[TDEFL_LZ_DICT_SIZE + dst_pos] = c;
if ((++d->m_lookahead_size + d->m_dict_size) >= TDEFL_MIN_MATCH_LEN) {
mz_uint ins_pos = d->m_lookahead_pos + (d->m_lookahead_size - 1) - 2;
mz_uint hash = ((d->m_dict[ins_pos & TDEFL_LZ_DICT_SIZE_MASK]
<< (TDEFL_LZ_HASH_SHIFT * 2)) ^
(d->m_dict[(ins_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK]
<< TDEFL_LZ_HASH_SHIFT) ^
c) &
(TDEFL_LZ_HASH_SIZE - 1);
d->m_next[ins_pos & TDEFL_LZ_DICT_SIZE_MASK] = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)(ins_pos);
}
}
}
d->m_dict_size =
MZ_MIN(TDEFL_LZ_DICT_SIZE - d->m_lookahead_size, d->m_dict_size);
if ((!flush) && (d->m_lookahead_size < TDEFL_MAX_MATCH_LEN)) break;
// Simple lazy/greedy parsing state machine.
len_to_move = 1;
cur_match_dist = 0;
cur_match_len =
d->m_saved_match_len ? d->m_saved_match_len : (TDEFL_MIN_MATCH_LEN - 1);
cur_pos = d->m_lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK;
if (d->m_flags & (TDEFL_RLE_MATCHES | TDEFL_FORCE_ALL_RAW_BLOCKS)) {
if ((d->m_dict_size) && (!(d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS))) {
mz_uint8 c = d->m_dict[(cur_pos - 1) & TDEFL_LZ_DICT_SIZE_MASK];
cur_match_len = 0;
while (cur_match_len < d->m_lookahead_size) {
if (d->m_dict[cur_pos + cur_match_len] != c) break;
cur_match_len++;
}
if (cur_match_len < TDEFL_MIN_MATCH_LEN)
cur_match_len = 0;
else
cur_match_dist = 1;
}
} else {
tdefl_find_match(d, d->m_lookahead_pos, d->m_dict_size,
d->m_lookahead_size, &cur_match_dist, &cur_match_len);
}
if (((cur_match_len == TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 8U * 1024U)) ||
(cur_pos == cur_match_dist) ||
((d->m_flags & TDEFL_FILTER_MATCHES) && (cur_match_len <= 5))) {
cur_match_dist = cur_match_len = 0;
}
if (d->m_saved_match_len) {
if (cur_match_len > d->m_saved_match_len) {
tdefl_record_literal(d, (mz_uint8)d->m_saved_lit);
if (cur_match_len >= 128) {
tdefl_record_match(d, cur_match_len, cur_match_dist);
d->m_saved_match_len = 0;
len_to_move = cur_match_len;
} else {
d->m_saved_lit = d->m_dict[cur_pos];
d->m_saved_match_dist = cur_match_dist;
d->m_saved_match_len = cur_match_len;
}
} else {
tdefl_record_match(d, d->m_saved_match_len, d->m_saved_match_dist);
len_to_move = d->m_saved_match_len - 1;
d->m_saved_match_len = 0;
}
} else if (!cur_match_dist)
tdefl_record_literal(d,
d->m_dict[MZ_MIN(cur_pos, sizeof(d->m_dict) - 1)]);
else if ((d->m_greedy_parsing) || (d->m_flags & TDEFL_RLE_MATCHES) ||
(cur_match_len >= 128)) {
tdefl_record_match(d, cur_match_len, cur_match_dist);
len_to_move = cur_match_len;
} else {
d->m_saved_lit = d->m_dict[MZ_MIN(cur_pos, sizeof(d->m_dict) - 1)];
d->m_saved_match_dist = cur_match_dist;
d->m_saved_match_len = cur_match_len;
}
// Move the lookahead forward by len_to_move bytes.
d->m_lookahead_pos += len_to_move;
MZ_ASSERT(d->m_lookahead_size >= len_to_move);
d->m_lookahead_size -= len_to_move;
d->m_dict_size =
MZ_MIN(d->m_dict_size + len_to_move, (mz_uint)TDEFL_LZ_DICT_SIZE);
// Check if it's time to flush the current LZ codes to the internal output
// buffer.
if ((d->m_pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) ||
((d->m_total_lz_bytes > 31 * 1024) &&
(((((mz_uint)(d->m_pLZ_code_buf - d->m_lz_code_buf) * 115) >> 7) >=
d->m_total_lz_bytes) ||
(d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS)))) {
int n;
d->m_pSrc = pSrc;
d->m_src_buf_left = src_buf_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
}
}
d->m_pSrc = pSrc;
d->m_src_buf_left = src_buf_left;
return MZ_TRUE;
}
static tdefl_status tdefl_flush_output_buffer(tdefl_compressor *d) {
if (d->m_pIn_buf_size) {
*d->m_pIn_buf_size = d->m_pSrc - (const mz_uint8 *)d->m_pIn_buf;
}
if (d->m_pOut_buf_size) {
size_t n = MZ_MIN(*d->m_pOut_buf_size - d->m_out_buf_ofs,
d->m_output_flush_remaining);
memcpy((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs,
d->m_output_buf + d->m_output_flush_ofs, n);
d->m_output_flush_ofs += (mz_uint)n;
d->m_output_flush_remaining -= (mz_uint)n;
d->m_out_buf_ofs += n;
*d->m_pOut_buf_size = d->m_out_buf_ofs;
}
return (d->m_finished && !d->m_output_flush_remaining) ? TDEFL_STATUS_DONE
: TDEFL_STATUS_OKAY;
}
tdefl_status tdefl_compress(tdefl_compressor *d, const void *pIn_buf,
size_t *pIn_buf_size, void *pOut_buf,
size_t *pOut_buf_size, tdefl_flush flush) {
if (!d) {
if (pIn_buf_size) *pIn_buf_size = 0;
if (pOut_buf_size) *pOut_buf_size = 0;
return TDEFL_STATUS_BAD_PARAM;
}
d->m_pIn_buf = pIn_buf;
d->m_pIn_buf_size = pIn_buf_size;
d->m_pOut_buf = pOut_buf;
d->m_pOut_buf_size = pOut_buf_size;
d->m_pSrc = (const mz_uint8 *)(pIn_buf);
d->m_src_buf_left = pIn_buf_size ? *pIn_buf_size : 0;
d->m_out_buf_ofs = 0;
d->m_flush = flush;
if (((d->m_pPut_buf_func != NULL) ==
((pOut_buf != NULL) || (pOut_buf_size != NULL))) ||
(d->m_prev_return_status != TDEFL_STATUS_OKAY) ||
(d->m_wants_to_finish && (flush != TDEFL_FINISH)) ||
(pIn_buf_size && *pIn_buf_size && !pIn_buf) ||
(pOut_buf_size && *pOut_buf_size && !pOut_buf)) {
if (pIn_buf_size) *pIn_buf_size = 0;
if (pOut_buf_size) *pOut_buf_size = 0;
return (d->m_prev_return_status = TDEFL_STATUS_BAD_PARAM);
}
d->m_wants_to_finish |= (flush == TDEFL_FINISH);
if ((d->m_output_flush_remaining) || (d->m_finished))
return (d->m_prev_return_status = tdefl_flush_output_buffer(d));
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
if (((d->m_flags & TDEFL_MAX_PROBES_MASK) == 1) &&
((d->m_flags & TDEFL_GREEDY_PARSING_FLAG) != 0) &&
((d->m_flags & (TDEFL_FILTER_MATCHES | TDEFL_FORCE_ALL_RAW_BLOCKS |
TDEFL_RLE_MATCHES)) == 0)) {
if (!tdefl_compress_fast(d)) return d->m_prev_return_status;
} else
#endif // #if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
{
if (!tdefl_compress_normal(d)) return d->m_prev_return_status;
}
if ((d->m_flags & (TDEFL_WRITE_ZLIB_HEADER | TDEFL_COMPUTE_ADLER32)) &&
(pIn_buf))
d->m_adler32 =
(mz_uint32)mz_adler32(d->m_adler32, (const mz_uint8 *)pIn_buf,
d->m_pSrc - (const mz_uint8 *)pIn_buf);
if ((flush) && (!d->m_lookahead_size) && (!d->m_src_buf_left) &&
(!d->m_output_flush_remaining)) {
if (tdefl_flush_block(d, flush) < 0) return d->m_prev_return_status;
d->m_finished = (flush == TDEFL_FINISH);
if (flush == TDEFL_FULL_FLUSH) {
MZ_CLEAR_OBJ(d->m_hash);
MZ_CLEAR_OBJ(d->m_next);
d->m_dict_size = 0;
}
}
return (d->m_prev_return_status = tdefl_flush_output_buffer(d));
}
tdefl_status tdefl_compress_buffer(tdefl_compressor *d, const void *pIn_buf,
size_t in_buf_size, tdefl_flush flush) {
MZ_ASSERT(d->m_pPut_buf_func);
return tdefl_compress(d, pIn_buf, &in_buf_size, NULL, NULL, flush);
}
tdefl_status tdefl_init(tdefl_compressor *d,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
d->m_pPut_buf_func = pPut_buf_func;
d->m_pPut_buf_user = pPut_buf_user;
d->m_flags = (mz_uint)(flags);
d->m_max_probes[0] = 1 + ((flags & 0xFFF) + 2) / 3;
d->m_greedy_parsing = (flags & TDEFL_GREEDY_PARSING_FLAG) != 0;
d->m_max_probes[1] = 1 + (((flags & 0xFFF) >> 2) + 2) / 3;
if (!(flags & TDEFL_NONDETERMINISTIC_PARSING_FLAG)) MZ_CLEAR_OBJ(d->m_hash);
d->m_lookahead_pos = d->m_lookahead_size = d->m_dict_size =
d->m_total_lz_bytes = d->m_lz_code_buf_dict_pos = d->m_bits_in = 0;
d->m_output_flush_ofs = d->m_output_flush_remaining = d->m_finished =
d->m_block_index = d->m_bit_buffer = d->m_wants_to_finish = 0;
d->m_pLZ_code_buf = d->m_lz_code_buf + 1;
d->m_pLZ_flags = d->m_lz_code_buf;
d->m_num_flags_left = 8;
d->m_pOutput_buf = d->m_output_buf;
d->m_pOutput_buf_end = d->m_output_buf;
d->m_prev_return_status = TDEFL_STATUS_OKAY;
d->m_saved_match_dist = d->m_saved_match_len = d->m_saved_lit = 0;
d->m_adler32 = 1;
d->m_pIn_buf = NULL;
d->m_pOut_buf = NULL;
d->m_pIn_buf_size = NULL;
d->m_pOut_buf_size = NULL;
d->m_flush = TDEFL_NO_FLUSH;
d->m_pSrc = NULL;
d->m_src_buf_left = 0;
d->m_out_buf_ofs = 0;
memset(&d->m_huff_count[0][0], 0,
sizeof(d->m_huff_count[0][0]) * TDEFL_MAX_HUFF_SYMBOLS_0);
memset(&d->m_huff_count[1][0], 0,
sizeof(d->m_huff_count[1][0]) * TDEFL_MAX_HUFF_SYMBOLS_1);
return TDEFL_STATUS_OKAY;
}
tdefl_status tdefl_get_prev_return_status(tdefl_compressor *d) {
return d->m_prev_return_status;
}
mz_uint32 tdefl_get_adler32(tdefl_compressor *d) { return d->m_adler32; }
mz_bool tdefl_compress_mem_to_output(const void *pBuf, size_t buf_len,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
tdefl_compressor *pComp;
mz_bool succeeded;
if (((buf_len) && (!pBuf)) || (!pPut_buf_func)) return MZ_FALSE;
pComp = (tdefl_compressor *)MZ_MALLOC(sizeof(tdefl_compressor));
if (!pComp) return MZ_FALSE;
succeeded = (tdefl_init(pComp, pPut_buf_func, pPut_buf_user, flags) ==
TDEFL_STATUS_OKAY);
succeeded =
succeeded && (tdefl_compress_buffer(pComp, pBuf, buf_len, TDEFL_FINISH) ==
TDEFL_STATUS_DONE);
MZ_FREE(pComp);
return succeeded;
}
typedef struct {
size_t m_size, m_capacity;
mz_uint8 *m_pBuf;
mz_bool m_expandable;
} tdefl_output_buffer;
static mz_bool tdefl_output_buffer_putter(const void *pBuf, int len,
void *pUser) {
tdefl_output_buffer *p = (tdefl_output_buffer *)pUser;
size_t new_size = p->m_size + len;
if (new_size > p->m_capacity) {
size_t new_capacity = p->m_capacity;
mz_uint8 *pNew_buf;
if (!p->m_expandable) return MZ_FALSE;
do {
new_capacity = MZ_MAX(128U, new_capacity << 1U);
} while (new_size > new_capacity);
pNew_buf = (mz_uint8 *)MZ_REALLOC(p->m_pBuf, new_capacity);
if (!pNew_buf) return MZ_FALSE;
p->m_pBuf = pNew_buf;
p->m_capacity = new_capacity;
}
memcpy((mz_uint8 *)p->m_pBuf + p->m_size, pBuf, len);
p->m_size = new_size;
return MZ_TRUE;
}
void *tdefl_compress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags) {
tdefl_output_buffer out_buf;
MZ_CLEAR_OBJ(out_buf);
if (!pOut_len)
return MZ_FALSE;
else
*pOut_len = 0;
out_buf.m_expandable = MZ_TRUE;
if (!tdefl_compress_mem_to_output(
pSrc_buf, src_buf_len, tdefl_output_buffer_putter, &out_buf, flags))
return NULL;
*pOut_len = out_buf.m_size;
return out_buf.m_pBuf;
}
size_t tdefl_compress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags) {
tdefl_output_buffer out_buf;
MZ_CLEAR_OBJ(out_buf);
if (!pOut_buf) return 0;
out_buf.m_pBuf = (mz_uint8 *)pOut_buf;
out_buf.m_capacity = out_buf_len;
if (!tdefl_compress_mem_to_output(
pSrc_buf, src_buf_len, tdefl_output_buffer_putter, &out_buf, flags))
return 0;
return out_buf.m_size;
}
#ifndef MINIZ_NO_ZLIB_APIS
static const mz_uint s_tdefl_num_probes[11] = {0, 1, 6, 32, 16, 32,
128, 256, 512, 768, 1500};
// level may actually range from [0,10] (10 is a "hidden" max level, where we
// want a bit more compression and it's fine if throughput to fall off a cliff
// on some files).
mz_uint tdefl_create_comp_flags_from_zip_params(int level, int window_bits,
int strategy) {
mz_uint comp_flags =
s_tdefl_num_probes[(level >= 0) ? MZ_MIN(10, level) : MZ_DEFAULT_LEVEL] |
((level <= 3) ? TDEFL_GREEDY_PARSING_FLAG : 0);
if (window_bits > 0) comp_flags |= TDEFL_WRITE_ZLIB_HEADER;
if (!level)
comp_flags |= TDEFL_FORCE_ALL_RAW_BLOCKS;
else if (strategy == MZ_FILTERED)
comp_flags |= TDEFL_FILTER_MATCHES;
else if (strategy == MZ_HUFFMAN_ONLY)
comp_flags &= ~TDEFL_MAX_PROBES_MASK;
else if (strategy == MZ_FIXED)
comp_flags |= TDEFL_FORCE_ALL_STATIC_BLOCKS;
else if (strategy == MZ_RLE)
comp_flags |= TDEFL_RLE_MATCHES;
return comp_flags;
}
#endif // MINIZ_NO_ZLIB_APIS
#ifdef _MSC_VER
#pragma warning(push)
#pragma warning(disable : 4204) // nonstandard extension used : non-constant
// aggregate initializer (also supported by GNU
// C and C99, so no big deal)
#pragma warning(disable : 4244) // 'initializing': conversion from '__int64' to
// 'int', possible loss of data
#pragma warning( \
disable : 4267) // 'argument': conversion from '__int64' to 'int',
// possible loss of data
#pragma warning(disable : 4996) // 'strdup': The POSIX name for this item is
// deprecated. Instead, use the ISO C and C++
// conformant name: _strdup.
#endif
// Simple PNG writer function by Alex Evans, 2011. Released into the public
// domain: https://gist.github.com/908299, more context at
// http://altdevblogaday.org/2011/04/06/a-smaller-jpg-encoder/.
// This is actually a modification of Alex's original code so PNG files
// generated by this function pass pngcheck.
void *tdefl_write_image_to_png_file_in_memory_ex(const void *pImage, int w,
int h, int num_chans,
size_t *pLen_out,
mz_uint level, mz_bool flip) {
// Using a local copy of this array here in case MINIZ_NO_ZLIB_APIS was
// defined.
static const mz_uint s_tdefl_png_num_probes[11] = {
0, 1, 6, 32, 16, 32, 128, 256, 512, 768, 1500};
tdefl_compressor *pComp =
(tdefl_compressor *)MZ_MALLOC(sizeof(tdefl_compressor));
tdefl_output_buffer out_buf;
int i, bpl = w * num_chans, y, z;
mz_uint32 c;
*pLen_out = 0;
if (!pComp) return NULL;
MZ_CLEAR_OBJ(out_buf);
out_buf.m_expandable = MZ_TRUE;
out_buf.m_capacity = 57 + MZ_MAX(64, (1 + bpl) * h);
if (NULL == (out_buf.m_pBuf = (mz_uint8 *)MZ_MALLOC(out_buf.m_capacity))) {
MZ_FREE(pComp);
return NULL;
}
// write dummy header
for (z = 41; z; --z) tdefl_output_buffer_putter(&z, 1, &out_buf);
// compress image data
tdefl_init(
pComp, tdefl_output_buffer_putter, &out_buf,
s_tdefl_png_num_probes[MZ_MIN(10, level)] | TDEFL_WRITE_ZLIB_HEADER);
for (y = 0; y < h; ++y) {
tdefl_compress_buffer(pComp, &z, 1, TDEFL_NO_FLUSH);
tdefl_compress_buffer(pComp,
(mz_uint8 *)pImage + (flip ? (h - 1 - y) : y) * bpl,
bpl, TDEFL_NO_FLUSH);
}
if (tdefl_compress_buffer(pComp, NULL, 0, TDEFL_FINISH) !=
TDEFL_STATUS_DONE) {
MZ_FREE(pComp);
MZ_FREE(out_buf.m_pBuf);
return NULL;
}
// write real header
*pLen_out = out_buf.m_size - 41;
{
static const mz_uint8 chans[] = {0x00, 0x00, 0x04, 0x02, 0x06};
mz_uint8 pnghdr[41] = {0x89,
0x50,
0x4e,
0x47,
0x0d,
0x0a,
0x1a,
0x0a,
0x00,
0x00,
0x00,
0x0d,
0x49,
0x48,
0x44,
0x52,
0,
0,
(mz_uint8)(w >> 8),
(mz_uint8)w,
0,
0,
(mz_uint8)(h >> 8),
(mz_uint8)h,
8,
chans[num_chans],
0,
0,
0,
0,
0,
0,
0,
(mz_uint8)(*pLen_out >> 24),
(mz_uint8)(*pLen_out >> 16),
(mz_uint8)(*pLen_out >> 8),
(mz_uint8)*pLen_out,
0x49,
0x44,
0x41,
0x54};
c = (mz_uint32)mz_crc32(MZ_CRC32_INIT, pnghdr + 12, 17);
for (i = 0; i < 4; ++i, c <<= 8)
((mz_uint8 *)(pnghdr + 29))[i] = (mz_uint8)(c >> 24);
memcpy(out_buf.m_pBuf, pnghdr, 41);
}
// write footer (IDAT CRC-32, followed by IEND chunk)
if (!tdefl_output_buffer_putter(
"\0\0\0\0\0\0\0\0\x49\x45\x4e\x44\xae\x42\x60\x82", 16, &out_buf)) {
*pLen_out = 0;
MZ_FREE(pComp);
MZ_FREE(out_buf.m_pBuf);
return NULL;
}
c = (mz_uint32)mz_crc32(MZ_CRC32_INIT, out_buf.m_pBuf + 41 - 4,
*pLen_out + 4);
for (i = 0; i < 4; ++i, c <<= 8)
(out_buf.m_pBuf + out_buf.m_size - 16)[i] = (mz_uint8)(c >> 24);
// compute final size of file, grab compressed data buffer and return
*pLen_out += 57;
MZ_FREE(pComp);
return out_buf.m_pBuf;
}
void *tdefl_write_image_to_png_file_in_memory(const void *pImage, int w, int h,
int num_chans, size_t *pLen_out) {
// Level 6 corresponds to TDEFL_DEFAULT_MAX_PROBES or MZ_DEFAULT_LEVEL (but we
// can't depend on MZ_DEFAULT_LEVEL being available in case the zlib API's
// where #defined out)
return tdefl_write_image_to_png_file_in_memory_ex(pImage, w, h, num_chans,
pLen_out, 6, MZ_FALSE);
}
// ------------------- .ZIP archive reading
#ifndef MINIZ_NO_ARCHIVE_APIS
#error "No arvhive APIs"
#ifdef MINIZ_NO_STDIO
#define MZ_FILE void *
#else
#include <stdio.h>
#include <sys/stat.h>
// -- GODOT change for old MinGW on Travis CI --
//#if defined(_MSC_VER) || defined(__MINGW64__)
#if defined(_MSC_VER) || (defined(__MINGW32__) && __MINGW64_VERSION_MAJOR >= 3)
// -- GODOT end --
static FILE *mz_fopen(const char *pFilename, const char *pMode) {
FILE *pFile = NULL;
fopen_s(&pFile, pFilename, pMode);
return pFile;
}
static FILE *mz_freopen(const char *pPath, const char *pMode, FILE *pStream) {
FILE *pFile = NULL;
if (freopen_s(&pFile, pPath, pMode, pStream)) return NULL;
return pFile;
}
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN mz_fopen
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 _ftelli64
#define MZ_FSEEK64 _fseeki64
#define MZ_FILE_STAT_STRUCT _stat
#define MZ_FILE_STAT _stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN mz_freopen
#define MZ_DELETE_FILE remove
#elif defined(__MINGW32__)
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello64
#define MZ_FSEEK64 fseeko64
#define MZ_FILE_STAT_STRUCT _stat
#define MZ_FILE_STAT _stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#elif defined(__TINYC__)
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftell
#define MZ_FSEEK64 fseek
#define MZ_FILE_STAT_STRUCT stat
#define MZ_FILE_STAT stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#elif defined(__GNUC__) && defined(_LARGEFILE64_SOURCE) && _LARGEFILE64_SOURCE
#ifndef MINIZ_NO_TIME
#include <utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen64(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello64
#define MZ_FSEEK64 fseeko64
#define MZ_FILE_STAT_STRUCT stat64
#define MZ_FILE_STAT stat64
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(p, m, s) freopen64(p, m, s)
#define MZ_DELETE_FILE remove
#else
#ifndef MINIZ_NO_TIME
#include <utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello
#define MZ_FSEEK64 fseeko
#define MZ_FILE_STAT_STRUCT stat
#define MZ_FILE_STAT stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#endif // #ifdef _MSC_VER
#endif // #ifdef MINIZ_NO_STDIO
#define MZ_TOLOWER(c) ((((c) >= 'A') && ((c) <= 'Z')) ? ((c) - 'A' + 'a') : (c))
// Various ZIP archive enums. To completely avoid cross platform compiler
// alignment and platform endian issues, miniz.c doesn't use structs for any of
// this stuff.
enum {
// ZIP archive identifiers and record sizes
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG = 0x06054b50,
MZ_ZIP_CENTRAL_DIR_HEADER_SIG = 0x02014b50,
MZ_ZIP_LOCAL_DIR_HEADER_SIG = 0x04034b50,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE = 30,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE = 46,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE = 22,
// Central directory header record offsets
MZ_ZIP_CDH_SIG_OFS = 0,
MZ_ZIP_CDH_VERSION_MADE_BY_OFS = 4,
MZ_ZIP_CDH_VERSION_NEEDED_OFS = 6,
MZ_ZIP_CDH_BIT_FLAG_OFS = 8,
MZ_ZIP_CDH_METHOD_OFS = 10,
MZ_ZIP_CDH_FILE_TIME_OFS = 12,
MZ_ZIP_CDH_FILE_DATE_OFS = 14,
MZ_ZIP_CDH_CRC32_OFS = 16,
MZ_ZIP_CDH_COMPRESSED_SIZE_OFS = 20,
MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS = 24,
MZ_ZIP_CDH_FILENAME_LEN_OFS = 28,
MZ_ZIP_CDH_EXTRA_LEN_OFS = 30,
MZ_ZIP_CDH_COMMENT_LEN_OFS = 32,
MZ_ZIP_CDH_DISK_START_OFS = 34,
MZ_ZIP_CDH_INTERNAL_ATTR_OFS = 36,
MZ_ZIP_CDH_EXTERNAL_ATTR_OFS = 38,
MZ_ZIP_CDH_LOCAL_HEADER_OFS = 42,
// Local directory header offsets
MZ_ZIP_LDH_SIG_OFS = 0,
MZ_ZIP_LDH_VERSION_NEEDED_OFS = 4,
MZ_ZIP_LDH_BIT_FLAG_OFS = 6,
MZ_ZIP_LDH_METHOD_OFS = 8,
MZ_ZIP_LDH_FILE_TIME_OFS = 10,
MZ_ZIP_LDH_FILE_DATE_OFS = 12,
MZ_ZIP_LDH_CRC32_OFS = 14,
MZ_ZIP_LDH_COMPRESSED_SIZE_OFS = 18,
MZ_ZIP_LDH_DECOMPRESSED_SIZE_OFS = 22,
MZ_ZIP_LDH_FILENAME_LEN_OFS = 26,
MZ_ZIP_LDH_EXTRA_LEN_OFS = 28,
// End of central directory offsets
MZ_ZIP_ECDH_SIG_OFS = 0,
MZ_ZIP_ECDH_NUM_THIS_DISK_OFS = 4,
MZ_ZIP_ECDH_NUM_DISK_CDIR_OFS = 6,
MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS = 8,
MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS = 10,
MZ_ZIP_ECDH_CDIR_SIZE_OFS = 12,
MZ_ZIP_ECDH_CDIR_OFS_OFS = 16,
MZ_ZIP_ECDH_COMMENT_SIZE_OFS = 20,
};
typedef struct {
void *m_p;
size_t m_size, m_capacity;
mz_uint m_element_size;
} mz_zip_array;
struct mz_zip_internal_state_tag {
mz_zip_array m_central_dir;
mz_zip_array m_central_dir_offsets;
mz_zip_array m_sorted_central_dir_offsets;
MZ_FILE *m_pFile;
void *m_pMem;
size_t m_mem_size;
size_t m_mem_capacity;
};
#define MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(array_ptr, element_size) \
(array_ptr)->m_element_size = element_size
#define MZ_ZIP_ARRAY_ELEMENT(array_ptr, element_type, index) \
((element_type *)((array_ptr)->m_p))[index]
static MZ_FORCEINLINE void mz_zip_array_clear(mz_zip_archive *pZip,
mz_zip_array *pArray) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pArray->m_p);
memset(pArray, 0, sizeof(mz_zip_array));
}
static mz_bool mz_zip_array_ensure_capacity(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t min_new_capacity,
mz_uint growing) {
void *pNew_p;
size_t new_capacity = min_new_capacity;
MZ_ASSERT(pArray->m_element_size);
if (pArray->m_capacity >= min_new_capacity) return MZ_TRUE;
if (growing) {
new_capacity = MZ_MAX(1, pArray->m_capacity);
while (new_capacity < min_new_capacity) new_capacity *= 2;
}
if (NULL == (pNew_p = pZip->m_pRealloc(pZip->m_pAlloc_opaque, pArray->m_p,
pArray->m_element_size, new_capacity)))
return MZ_FALSE;
pArray->m_p = pNew_p;
pArray->m_capacity = new_capacity;
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_reserve(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t new_capacity,
mz_uint growing) {
if (new_capacity > pArray->m_capacity) {
if (!mz_zip_array_ensure_capacity(pZip, pArray, new_capacity, growing))
return MZ_FALSE;
}
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_resize(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t new_size,
mz_uint growing) {
if (new_size > pArray->m_capacity) {
if (!mz_zip_array_ensure_capacity(pZip, pArray, new_size, growing))
return MZ_FALSE;
}
pArray->m_size = new_size;
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_ensure_room(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t n) {
return mz_zip_array_reserve(pZip, pArray, pArray->m_size + n, MZ_TRUE);
}
static MZ_FORCEINLINE mz_bool mz_zip_array_push_back(mz_zip_archive *pZip,
mz_zip_array *pArray,
const void *pElements,
size_t n) {
size_t orig_size = pArray->m_size;
if (!mz_zip_array_resize(pZip, pArray, orig_size + n, MZ_TRUE))
return MZ_FALSE;
memcpy((mz_uint8 *)pArray->m_p + orig_size * pArray->m_element_size,
pElements, n * pArray->m_element_size);
return MZ_TRUE;
}
#ifndef MINIZ_NO_TIME
static time_t mz_zip_dos_to_time_t(int dos_time, int dos_date) {
struct tm tm;
memset(&tm, 0, sizeof(tm));
tm.tm_isdst = -1;
tm.tm_year = ((dos_date >> 9) & 127) + 1980 - 1900;
tm.tm_mon = ((dos_date >> 5) & 15) - 1;
tm.tm_mday = dos_date & 31;
tm.tm_hour = (dos_time >> 11) & 31;
tm.tm_min = (dos_time >> 5) & 63;
tm.tm_sec = (dos_time << 1) & 62;
return mktime(&tm);
}
static void mz_zip_time_to_dos_time(time_t time, mz_uint16 *pDOS_time,
mz_uint16 *pDOS_date) {
#ifdef _MSC_VER
struct tm tm_struct;
struct tm *tm = &tm_struct;
errno_t err = localtime_s(tm, &time);
if (err) {
*pDOS_date = 0;
*pDOS_time = 0;
return;
}
#else
struct tm *tm = localtime(&time);
#endif
*pDOS_time = (mz_uint16)(((tm->tm_hour) << 11) + ((tm->tm_min) << 5) +
((tm->tm_sec) >> 1));
*pDOS_date = (mz_uint16)(((tm->tm_year + 1900 - 1980) << 9) +
((tm->tm_mon + 1) << 5) + tm->tm_mday);
}
#endif
#ifndef MINIZ_NO_STDIO
static mz_bool mz_zip_get_file_modified_time(const char *pFilename,
mz_uint16 *pDOS_time,
mz_uint16 *pDOS_date) {
#ifdef MINIZ_NO_TIME
(void)pFilename;
*pDOS_date = *pDOS_time = 0;
#else
struct MZ_FILE_STAT_STRUCT file_stat;
// On Linux with x86 glibc, this call will fail on large files (>= 0x80000000
// bytes) unless you compiled with _LARGEFILE64_SOURCE. Argh.
if (MZ_FILE_STAT(pFilename, &file_stat) != 0) return MZ_FALSE;
mz_zip_time_to_dos_time(file_stat.st_mtime, pDOS_time, pDOS_date);
#endif // #ifdef MINIZ_NO_TIME
return MZ_TRUE;
}
#ifndef MINIZ_NO_TIME
static mz_bool mz_zip_set_file_times(const char *pFilename, time_t access_time,
time_t modified_time) {
struct utimbuf t;
t.actime = access_time;
t.modtime = modified_time;
return !utime(pFilename, &t);
}
#endif // #ifndef MINIZ_NO_TIME
#endif // #ifndef MINIZ_NO_STDIO
static mz_bool mz_zip_reader_init_internal(mz_zip_archive *pZip,
mz_uint32 flags) {
(void)flags;
if ((!pZip) || (pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_INVALID))
return MZ_FALSE;
if (!pZip->m_pAlloc) pZip->m_pAlloc = def_alloc_func;
if (!pZip->m_pFree) pZip->m_pFree = def_free_func;
if (!pZip->m_pRealloc) pZip->m_pRealloc = def_realloc_func;
pZip->m_zip_mode = MZ_ZIP_MODE_READING;
pZip->m_archive_size = 0;
pZip->m_central_directory_file_ofs = 0;
pZip->m_total_files = 0;
if (NULL == (pZip->m_pState = (mz_zip_internal_state *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(mz_zip_internal_state))))
return MZ_FALSE;
memset(pZip->m_pState, 0, sizeof(mz_zip_internal_state));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir,
sizeof(mz_uint8));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir_offsets,
sizeof(mz_uint32));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_sorted_central_dir_offsets,
sizeof(mz_uint32));
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool
mz_zip_reader_filename_less(const mz_zip_array *pCentral_dir_array,
const mz_zip_array *pCentral_dir_offsets,
mz_uint l_index, mz_uint r_index) {
const mz_uint8 *pL = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32,
l_index)),
*pE;
const mz_uint8 *pR = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32, r_index));
mz_uint l_len = MZ_READ_LE16(pL + MZ_ZIP_CDH_FILENAME_LEN_OFS),
r_len = MZ_READ_LE16(pR + MZ_ZIP_CDH_FILENAME_LEN_OFS);
mz_uint8 l = 0, r = 0;
pL += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pR += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pE = pL + MZ_MIN(l_len, r_len);
while (pL < pE) {
if ((l = MZ_TOLOWER(*pL)) != (r = MZ_TOLOWER(*pR))) break;
pL++;
pR++;
}
return (pL == pE) ? (l_len < r_len) : (l < r);
}
#define MZ_SWAP_UINT32(a, b) \
do { \
mz_uint32 t = a; \
a = b; \
b = t; \
} \
MZ_MACRO_END
// Heap sort of lowercased filenames, used to help accelerate plain central
// directory searches by mz_zip_reader_locate_file(). (Could also use qsort(),
// but it could allocate memory.)
static void mz_zip_reader_sort_central_dir_offsets_by_filename(
mz_zip_archive *pZip) {
mz_zip_internal_state *pState = pZip->m_pState;
const mz_zip_array *pCentral_dir_offsets = &pState->m_central_dir_offsets;
const mz_zip_array *pCentral_dir = &pState->m_central_dir;
mz_uint32 *pIndices = &MZ_ZIP_ARRAY_ELEMENT(
&pState->m_sorted_central_dir_offsets, mz_uint32, 0);
const int size = pZip->m_total_files;
int start = (size - 2) >> 1, end;
while (start >= 0) {
int child, root = start;
for (;;) {
if ((child = (root << 1) + 1) >= size) break;
child +=
(((child + 1) < size) &&
(mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[child], pIndices[child + 1])));
if (!mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[root], pIndices[child]))
break;
MZ_SWAP_UINT32(pIndices[root], pIndices[child]);
root = child;
}
start--;
}
end = size - 1;
while (end > 0) {
int child, root = 0;
MZ_SWAP_UINT32(pIndices[end], pIndices[0]);
for (;;) {
if ((child = (root << 1) + 1) >= end) break;
child +=
(((child + 1) < end) &&
mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[child], pIndices[child + 1]));
if (!mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[root], pIndices[child]))
break;
MZ_SWAP_UINT32(pIndices[root], pIndices[child]);
root = child;
}
end--;
}
}
static mz_bool mz_zip_reader_read_central_dir(mz_zip_archive *pZip,
mz_uint32 flags) {
mz_uint cdir_size, num_this_disk, cdir_disk_index;
mz_uint64 cdir_ofs;
mz_int64 cur_file_ofs;
const mz_uint8 *p;
mz_uint32 buf_u32[4096 / sizeof(mz_uint32)];
mz_uint8 *pBuf = (mz_uint8 *)buf_u32;
mz_bool sort_central_dir =
((flags & MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY) == 0);
// Basic sanity checks - reject files which are too small, and check the first
// 4 bytes of the file to make sure a local header is there.
if (pZip->m_archive_size < MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
// Find the end of central directory record by scanning the file from the end
// towards the beginning.
cur_file_ofs =
MZ_MAX((mz_int64)pZip->m_archive_size - (mz_int64)sizeof(buf_u32), 0);
for (;;) {
int i,
n = (int)MZ_MIN(sizeof(buf_u32), pZip->m_archive_size - cur_file_ofs);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf, n) != (mz_uint)n)
return MZ_FALSE;
for (i = n - 4; i >= 0; --i)
if (MZ_READ_LE32(pBuf + i) == MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG) break;
if (i >= 0) {
cur_file_ofs += i;
break;
}
if ((!cur_file_ofs) || ((pZip->m_archive_size - cur_file_ofs) >=
(0xFFFF + MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)))
return MZ_FALSE;
cur_file_ofs = MZ_MAX(cur_file_ofs - (sizeof(buf_u32) - 3), 0);
}
// Read and verify the end of central directory record.
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE) !=
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if ((MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_SIG_OFS) !=
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG) ||
((pZip->m_total_files =
MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS)) !=
MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS)))
return MZ_FALSE;
num_this_disk = MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_NUM_THIS_DISK_OFS);
cdir_disk_index = MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_NUM_DISK_CDIR_OFS);
if (((num_this_disk | cdir_disk_index) != 0) &&
((num_this_disk != 1) || (cdir_disk_index != 1)))
return MZ_FALSE;
if ((cdir_size = MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_CDIR_SIZE_OFS)) <
pZip->m_total_files * MZ_ZIP_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
cdir_ofs = MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_CDIR_OFS_OFS);
if ((cdir_ofs + (mz_uint64)cdir_size) > pZip->m_archive_size) return MZ_FALSE;
pZip->m_central_directory_file_ofs = cdir_ofs;
if (pZip->m_total_files) {
mz_uint i, n;
// Read the entire central directory into a heap block, and allocate another
// heap block to hold the unsorted central dir file record offsets, and
// another to hold the sorted indices.
if ((!mz_zip_array_resize(pZip, &pZip->m_pState->m_central_dir, cdir_size,
MZ_FALSE)) ||
(!mz_zip_array_resize(pZip, &pZip->m_pState->m_central_dir_offsets,
pZip->m_total_files, MZ_FALSE)))
return MZ_FALSE;
if (sort_central_dir) {
if (!mz_zip_array_resize(pZip,
&pZip->m_pState->m_sorted_central_dir_offsets,
pZip->m_total_files, MZ_FALSE))
return MZ_FALSE;
}
if (pZip->m_pRead(pZip->m_pIO_opaque, cdir_ofs,
pZip->m_pState->m_central_dir.m_p,
cdir_size) != cdir_size)
return MZ_FALSE;
// Now create an index into the central directory file records, do some
// basic sanity checking on each record, and check for zip64 entries (which
// are not yet supported).
p = (const mz_uint8 *)pZip->m_pState->m_central_dir.m_p;
for (n = cdir_size, i = 0; i < pZip->m_total_files; ++i) {
mz_uint total_header_size, comp_size, decomp_size, disk_index;
if ((n < MZ_ZIP_CENTRAL_DIR_HEADER_SIZE) ||
(MZ_READ_LE32(p) != MZ_ZIP_CENTRAL_DIR_HEADER_SIG))
return MZ_FALSE;
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
i) =
(mz_uint32)(p - (const mz_uint8 *)pZip->m_pState->m_central_dir.m_p);
if (sort_central_dir)
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_sorted_central_dir_offsets,
mz_uint32, i) = i;
comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
decomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
if (((!MZ_READ_LE32(p + MZ_ZIP_CDH_METHOD_OFS)) &&
(decomp_size != comp_size)) ||
(decomp_size && !comp_size) || (decomp_size == 0xFFFFFFFF) ||
(comp_size == 0xFFFFFFFF))
return MZ_FALSE;
disk_index = MZ_READ_LE16(p + MZ_ZIP_CDH_DISK_START_OFS);
if ((disk_index != num_this_disk) && (disk_index != 1)) return MZ_FALSE;
if (((mz_uint64)MZ_READ_LE32(p + MZ_ZIP_CDH_LOCAL_HEADER_OFS) +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + comp_size) > pZip->m_archive_size)
return MZ_FALSE;
if ((total_header_size = MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_EXTRA_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_COMMENT_LEN_OFS)) >
n)
return MZ_FALSE;
n -= total_header_size;
p += total_header_size;
}
}
if (sort_central_dir)
mz_zip_reader_sort_central_dir_offsets_by_filename(pZip);
return MZ_TRUE;
}
mz_bool mz_zip_reader_init(mz_zip_archive *pZip, mz_uint64 size,
mz_uint32 flags) {
if ((!pZip) || (!pZip->m_pRead)) return MZ_FALSE;
if (!mz_zip_reader_init_internal(pZip, flags)) return MZ_FALSE;
pZip->m_archive_size = size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
static size_t mz_zip_mem_read_func(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
size_t s = (file_ofs >= pZip->m_archive_size)
? 0
: (size_t)MZ_MIN(pZip->m_archive_size - file_ofs, n);
memcpy(pBuf, (const mz_uint8 *)pZip->m_pState->m_pMem + file_ofs, s);
return s;
}
mz_bool mz_zip_reader_init_mem(mz_zip_archive *pZip, const void *pMem,
size_t size, mz_uint32 flags) {
if (!mz_zip_reader_init_internal(pZip, flags)) return MZ_FALSE;
pZip->m_archive_size = size;
pZip->m_pRead = mz_zip_mem_read_func;
pZip->m_pIO_opaque = pZip;
#ifdef __cplusplus
pZip->m_pState->m_pMem = const_cast<void *>(pMem);
#else
pZip->m_pState->m_pMem = (void *)pMem;
#endif
pZip->m_pState->m_mem_size = size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_read_func(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_int64 cur_ofs = MZ_FTELL64(pZip->m_pState->m_pFile);
if (((mz_int64)file_ofs < 0) ||
(((cur_ofs != (mz_int64)file_ofs)) &&
(MZ_FSEEK64(pZip->m_pState->m_pFile, (mz_int64)file_ofs, SEEK_SET))))
return 0;
return MZ_FREAD(pBuf, 1, n, pZip->m_pState->m_pFile);
}
mz_bool mz_zip_reader_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint32 flags) {
mz_uint64 file_size;
MZ_FILE *pFile = MZ_FOPEN(pFilename, "rb");
if (!pFile) return MZ_FALSE;
if (MZ_FSEEK64(pFile, 0, SEEK_END)) {
MZ_FCLOSE(pFile);
return MZ_FALSE;
}
file_size = MZ_FTELL64(pFile);
if (!mz_zip_reader_init_internal(pZip, flags)) {
MZ_FCLOSE(pFile);
return MZ_FALSE;
}
pZip->m_pRead = mz_zip_file_read_func;
pZip->m_pIO_opaque = pZip;
pZip->m_pState->m_pFile = pFile;
pZip->m_archive_size = file_size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_uint mz_zip_reader_get_num_files(mz_zip_archive *pZip) {
return pZip ? pZip->m_total_files : 0;
}
static MZ_FORCEINLINE const mz_uint8 *mz_zip_reader_get_cdh(
mz_zip_archive *pZip, mz_uint file_index) {
if ((!pZip) || (!pZip->m_pState) || (file_index >= pZip->m_total_files) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return NULL;
return &MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
file_index));
}
mz_bool mz_zip_reader_is_file_encrypted(mz_zip_archive *pZip,
mz_uint file_index) {
mz_uint m_bit_flag;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) return MZ_FALSE;
m_bit_flag = MZ_READ_LE16(p + MZ_ZIP_CDH_BIT_FLAG_OFS);
return (m_bit_flag & 1);
}
mz_bool mz_zip_reader_is_file_a_directory(mz_zip_archive *pZip,
mz_uint file_index) {
mz_uint filename_len, external_attr;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) return MZ_FALSE;
// First see if the filename ends with a '/' character.
filename_len = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
if (filename_len) {
if (*(p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + filename_len - 1) == '/')
return MZ_TRUE;
}
// Bugfix: This code was also checking if the internal attribute was non-zero,
// which wasn't correct.
// Most/all zip writers (hopefully) set DOS file/directory attributes in the
// low 16-bits, so check for the DOS directory flag and ignore the source OS
// ID in the created by field.
// FIXME: Remove this check? Is it necessary - we already check the filename.
external_attr = MZ_READ_LE32(p + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS);
if ((external_attr & 0x10) != 0) return MZ_TRUE;
return MZ_FALSE;
}
mz_bool mz_zip_reader_file_stat(mz_zip_archive *pZip, mz_uint file_index,
mz_zip_archive_file_stat *pStat) {
mz_uint n;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if ((!p) || (!pStat)) return MZ_FALSE;
// Unpack the central directory record.
pStat->m_file_index = file_index;
pStat->m_central_dir_ofs = MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir_offsets, mz_uint32, file_index);
pStat->m_version_made_by = MZ_READ_LE16(p + MZ_ZIP_CDH_VERSION_MADE_BY_OFS);
pStat->m_version_needed = MZ_READ_LE16(p + MZ_ZIP_CDH_VERSION_NEEDED_OFS);
pStat->m_bit_flag = MZ_READ_LE16(p + MZ_ZIP_CDH_BIT_FLAG_OFS);
pStat->m_method = MZ_READ_LE16(p + MZ_ZIP_CDH_METHOD_OFS);
#ifndef MINIZ_NO_TIME
pStat->m_time =
mz_zip_dos_to_time_t(MZ_READ_LE16(p + MZ_ZIP_CDH_FILE_TIME_OFS),
MZ_READ_LE16(p + MZ_ZIP_CDH_FILE_DATE_OFS));
#endif
pStat->m_crc32 = MZ_READ_LE32(p + MZ_ZIP_CDH_CRC32_OFS);
pStat->m_comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
pStat->m_uncomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
pStat->m_internal_attr = MZ_READ_LE16(p + MZ_ZIP_CDH_INTERNAL_ATTR_OFS);
pStat->m_external_attr = MZ_READ_LE32(p + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS);
pStat->m_local_header_ofs = MZ_READ_LE32(p + MZ_ZIP_CDH_LOCAL_HEADER_OFS);
// Copy as much of the filename and comment as possible.
n = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
n = MZ_MIN(n, MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE - 1);
memcpy(pStat->m_filename, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n);
pStat->m_filename[n] = '\0';
n = MZ_READ_LE16(p + MZ_ZIP_CDH_COMMENT_LEN_OFS);
n = MZ_MIN(n, MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE - 1);
pStat->m_comment_size = n;
memcpy(pStat->m_comment, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_EXTRA_LEN_OFS),
n);
pStat->m_comment[n] = '\0';
return MZ_TRUE;
}
mz_uint mz_zip_reader_get_filename(mz_zip_archive *pZip, mz_uint file_index,
char *pFilename, mz_uint filename_buf_size) {
mz_uint n;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) {
if (filename_buf_size) pFilename[0] = '\0';
return 0;
}
n = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
if (filename_buf_size) {
n = MZ_MIN(n, filename_buf_size - 1);
memcpy(pFilename, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n);
pFilename[n] = '\0';
}
return n + 1;
}
static MZ_FORCEINLINE mz_bool mz_zip_reader_string_equal(const char *pA,
const char *pB,
mz_uint len,
mz_uint flags) {
mz_uint i;
if (flags & MZ_ZIP_FLAG_CASE_SENSITIVE) return 0 == memcmp(pA, pB, len);
for (i = 0; i < len; ++i)
if (MZ_TOLOWER(pA[i]) != MZ_TOLOWER(pB[i])) return MZ_FALSE;
return MZ_TRUE;
}
static MZ_FORCEINLINE int mz_zip_reader_filename_compare(
const mz_zip_array *pCentral_dir_array,
const mz_zip_array *pCentral_dir_offsets, mz_uint l_index, const char *pR,
mz_uint r_len) {
const mz_uint8 *pL = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32,
l_index)),
*pE;
mz_uint l_len = MZ_READ_LE16(pL + MZ_ZIP_CDH_FILENAME_LEN_OFS);
mz_uint8 l = 0, r = 0;
pL += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pE = pL + MZ_MIN(l_len, r_len);
while (pL < pE) {
if ((l = MZ_TOLOWER(*pL)) != (r = MZ_TOLOWER(*pR))) break;
pL++;
pR++;
}
return (pL == pE) ? (int)(l_len - r_len) : (l - r);
}
static int mz_zip_reader_locate_file_binary_search(mz_zip_archive *pZip,
const char *pFilename) {
mz_zip_internal_state *pState = pZip->m_pState;
const mz_zip_array *pCentral_dir_offsets = &pState->m_central_dir_offsets;
const mz_zip_array *pCentral_dir = &pState->m_central_dir;
mz_uint32 *pIndices = &MZ_ZIP_ARRAY_ELEMENT(
&pState->m_sorted_central_dir_offsets, mz_uint32, 0);
const int size = pZip->m_total_files;
const mz_uint filename_len = (mz_uint)strlen(pFilename);
int l = 0, h = size - 1;
while (l <= h) {
int m = (l + h) >> 1, file_index = pIndices[m],
comp =
mz_zip_reader_filename_compare(pCentral_dir, pCentral_dir_offsets,
file_index, pFilename, filename_len);
if (!comp)
return file_index;
else if (comp < 0)
l = m + 1;
else
h = m - 1;
}
return -1;
}
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags) {
mz_uint file_index;
size_t name_len, comment_len;
if ((!pZip) || (!pZip->m_pState) || (!pName) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return -1;
if (((flags & (MZ_ZIP_FLAG_IGNORE_PATH | MZ_ZIP_FLAG_CASE_SENSITIVE)) == 0) &&
(!pComment) && (pZip->m_pState->m_sorted_central_dir_offsets.m_size))
return mz_zip_reader_locate_file_binary_search(pZip, pName);
name_len = strlen(pName);
if (name_len > 0xFFFF) return -1;
comment_len = pComment ? strlen(pComment) : 0;
if (comment_len > 0xFFFF) return -1;
for (file_index = 0; file_index < pZip->m_total_files; file_index++) {
const mz_uint8 *pHeader = &MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
file_index));
mz_uint filename_len = MZ_READ_LE16(pHeader + MZ_ZIP_CDH_FILENAME_LEN_OFS);
const char *pFilename =
(const char *)pHeader + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
if (filename_len < name_len) continue;
if (comment_len) {
mz_uint file_extra_len = MZ_READ_LE16(pHeader + MZ_ZIP_CDH_EXTRA_LEN_OFS),
file_comment_len =
MZ_READ_LE16(pHeader + MZ_ZIP_CDH_COMMENT_LEN_OFS);
const char *pFile_comment = pFilename + filename_len + file_extra_len;
if ((file_comment_len != comment_len) ||
(!mz_zip_reader_string_equal(pComment, pFile_comment,
file_comment_len, flags)))
continue;
}
if ((flags & MZ_ZIP_FLAG_IGNORE_PATH) && (filename_len)) {
int ofs = filename_len - 1;
do {
if ((pFilename[ofs] == '/') || (pFilename[ofs] == '\\') ||
(pFilename[ofs] == ':'))
break;
} while (--ofs >= 0);
ofs++;
pFilename += ofs;
filename_len -= ofs;
}
if ((filename_len == name_len) &&
(mz_zip_reader_string_equal(pName, pFilename, filename_len, flags)))
return file_index;
}
return -1;
}
mz_bool mz_zip_reader_extract_to_mem_no_alloc(mz_zip_archive *pZip,
mz_uint file_index, void *pBuf,
size_t buf_size, mz_uint flags,
void *pUser_read_buf,
size_t user_read_buf_size) {
int status = TINFL_STATUS_DONE;
mz_uint64 needed_size, cur_file_ofs, comp_remaining,
out_buf_ofs = 0, read_buf_size, read_buf_ofs = 0, read_buf_avail;
mz_zip_archive_file_stat file_stat;
void *pRead_buf;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
tinfl_decompressor inflator;
if ((buf_size) && (!pBuf)) return MZ_FALSE;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
// Empty file, or a directory (but not always a directory - I've seen odd zips
// with directories that have compressed data which inflates to 0 bytes)
if (!file_stat.m_comp_size) return MZ_TRUE;
// Entry is a subdirectory (I've seen old zips with dir entries which have
// compressed deflate data which inflates to 0 bytes, but these entries claim
// to uncompress to 512 bytes in the headers).
// I'm torn how to handle this case - should it fail instead?
if (mz_zip_reader_is_file_a_directory(pZip, file_index)) return MZ_TRUE;
// Encryption and patch files are not supported.
if (file_stat.m_bit_flag & (1 | 32)) return MZ_FALSE;
// This function only supports stored and deflate.
if ((!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (file_stat.m_method != 0) &&
(file_stat.m_method != MZ_DEFLATED))
return MZ_FALSE;
// Ensure supplied output buffer is large enough.
needed_size = (flags & MZ_ZIP_FLAG_COMPRESSED_DATA) ? file_stat.m_comp_size
: file_stat.m_uncomp_size;
if (buf_size < needed_size) return MZ_FALSE;
// Read and parse the local directory entry.
cur_file_ofs = file_stat.m_local_header_ofs;
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
if ((cur_file_ofs + file_stat.m_comp_size) > pZip->m_archive_size)
return MZ_FALSE;
if ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) || (!file_stat.m_method)) {
// The file is stored or the caller has requested the compressed data.
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf,
(size_t)needed_size) != needed_size)
return MZ_FALSE;
return ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) != 0) ||
(mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf,
(size_t)file_stat.m_uncomp_size) == file_stat.m_crc32);
}
// Decompress the file either directly from memory or from a file input
// buffer.
tinfl_init(&inflator);
if (pZip->m_pState->m_pMem) {
// Read directly from the archive in memory.
pRead_buf = (mz_uint8 *)pZip->m_pState->m_pMem + cur_file_ofs;
read_buf_size = read_buf_avail = file_stat.m_comp_size;
comp_remaining = 0;
} else if (pUser_read_buf) {
// Use a user provided read buffer.
if (!user_read_buf_size) return MZ_FALSE;
pRead_buf = (mz_uint8 *)pUser_read_buf;
read_buf_size = user_read_buf_size;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
} else {
// Temporarily allocate a read buffer.
read_buf_size =
MZ_MIN(file_stat.m_comp_size, (mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) &&
(read_buf_size > 0x7FFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) && (read_buf_size > 0x7FFFFFFF))
#endif
return MZ_FALSE;
if (NULL == (pRead_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
(size_t)read_buf_size)))
return MZ_FALSE;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
}
do {
size_t in_buf_size,
out_buf_size = (size_t)(file_stat.m_uncomp_size - out_buf_ofs);
if ((!read_buf_avail) && (!pZip->m_pState->m_pMem)) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
read_buf_ofs = 0;
}
in_buf_size = (size_t)read_buf_avail;
status = tinfl_decompress(
&inflator, (mz_uint8 *)pRead_buf + read_buf_ofs, &in_buf_size,
(mz_uint8 *)pBuf, (mz_uint8 *)pBuf + out_buf_ofs, &out_buf_size,
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF |
(comp_remaining ? TINFL_FLAG_HAS_MORE_INPUT : 0));
read_buf_avail -= in_buf_size;
read_buf_ofs += in_buf_size;
out_buf_ofs += out_buf_size;
} while (status == TINFL_STATUS_NEEDS_MORE_INPUT);
if (status == TINFL_STATUS_DONE) {
// Make sure the entire file was decompressed, and check its CRC.
if ((out_buf_ofs != file_stat.m_uncomp_size) ||
(mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf,
(size_t)file_stat.m_uncomp_size) != file_stat.m_crc32))
status = TINFL_STATUS_FAILED;
}
if ((!pZip->m_pState->m_pMem) && (!pUser_read_buf))
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
return status == TINFL_STATUS_DONE;
}
mz_bool mz_zip_reader_extract_file_to_mem_no_alloc(
mz_zip_archive *pZip, const char *pFilename, void *pBuf, size_t buf_size,
mz_uint flags, void *pUser_read_buf, size_t user_read_buf_size) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_mem_no_alloc(pZip, file_index, pBuf, buf_size,
flags, pUser_read_buf,
user_read_buf_size);
}
mz_bool mz_zip_reader_extract_to_mem(mz_zip_archive *pZip, mz_uint file_index,
void *pBuf, size_t buf_size,
mz_uint flags) {
return mz_zip_reader_extract_to_mem_no_alloc(pZip, file_index, pBuf, buf_size,
flags, NULL, 0);
}
mz_bool mz_zip_reader_extract_file_to_mem(mz_zip_archive *pZip,
const char *pFilename, void *pBuf,
size_t buf_size, mz_uint flags) {
return mz_zip_reader_extract_file_to_mem_no_alloc(pZip, pFilename, pBuf,
buf_size, flags, NULL, 0);
}
void *mz_zip_reader_extract_to_heap(mz_zip_archive *pZip, mz_uint file_index,
size_t *pSize, mz_uint flags) {
mz_uint64 comp_size, uncomp_size, alloc_size;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
void *pBuf;
if (pSize) *pSize = 0;
if (!p) return NULL;
comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
uncomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
alloc_size = (flags & MZ_ZIP_FLAG_COMPRESSED_DATA) ? comp_size : uncomp_size;
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) && (alloc_size > 0x7FFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) && (alloc_size > 0x7FFFFFFF))
#endif
return NULL;
if (NULL ==
(pBuf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1, (size_t)alloc_size)))
return NULL;
if (!mz_zip_reader_extract_to_mem(pZip, file_index, pBuf, (size_t)alloc_size,
flags)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return NULL;
}
if (pSize) *pSize = (size_t)alloc_size;
return pBuf;
}
void *mz_zip_reader_extract_file_to_heap(mz_zip_archive *pZip,
const char *pFilename, size_t *pSize,
mz_uint flags) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) {
if (pSize) *pSize = 0;
return MZ_FALSE;
}
return mz_zip_reader_extract_to_heap(pZip, file_index, pSize, flags);
}
mz_bool mz_zip_reader_extract_to_callback(mz_zip_archive *pZip,
mz_uint file_index,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags) {
int status = TINFL_STATUS_DONE;
mz_uint file_crc32 = MZ_CRC32_INIT;
mz_uint64 read_buf_size, read_buf_ofs = 0, read_buf_avail, comp_remaining,
out_buf_ofs = 0, cur_file_ofs;
mz_zip_archive_file_stat file_stat;
void *pRead_buf = NULL;
void *pWrite_buf = NULL;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
// Empty file, or a directory (but not always a directory - I've seen odd zips
// with directories that have compressed data which inflates to 0 bytes)
if (!file_stat.m_comp_size) return MZ_TRUE;
// Entry is a subdirectory (I've seen old zips with dir entries which have
// compressed deflate data which inflates to 0 bytes, but these entries claim
// to uncompress to 512 bytes in the headers).
// I'm torn how to handle this case - should it fail instead?
if (mz_zip_reader_is_file_a_directory(pZip, file_index)) return MZ_TRUE;
// Encryption and patch files are not supported.
if (file_stat.m_bit_flag & (1 | 32)) return MZ_FALSE;
// This function only supports stored and deflate.
if ((!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (file_stat.m_method != 0) &&
(file_stat.m_method != MZ_DEFLATED))
return MZ_FALSE;
// Read and parse the local directory entry.
cur_file_ofs = file_stat.m_local_header_ofs;
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
if ((cur_file_ofs + file_stat.m_comp_size) > pZip->m_archive_size)
return MZ_FALSE;
// Decompress the file either directly from memory or from a file input
// buffer.
if (pZip->m_pState->m_pMem) {
pRead_buf = (mz_uint8 *)pZip->m_pState->m_pMem + cur_file_ofs;
read_buf_size = read_buf_avail = file_stat.m_comp_size;
comp_remaining = 0;
} else {
read_buf_size =
MZ_MIN(file_stat.m_comp_size, (mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
if (NULL == (pRead_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
(size_t)read_buf_size)))
return MZ_FALSE;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
}
if ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) || (!file_stat.m_method)) {
// The file is stored or the caller has requested the compressed data.
if (pZip->m_pState->m_pMem) {
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) &&
(file_stat.m_comp_size > 0xFFFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) &&
(file_stat.m_comp_size > 0xFFFFFFFF))
#endif
return MZ_FALSE;
if (pCallback(pOpaque, out_buf_ofs, pRead_buf,
(size_t)file_stat.m_comp_size) != file_stat.m_comp_size)
status = TINFL_STATUS_FAILED;
else if (!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))
file_crc32 =
(mz_uint32)mz_crc32(file_crc32, (const mz_uint8 *)pRead_buf,
(size_t)file_stat.m_comp_size);
cur_file_ofs += file_stat.m_comp_size;
out_buf_ofs += file_stat.m_comp_size;
comp_remaining = 0;
} else {
while (comp_remaining) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
if (!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))
file_crc32 = (mz_uint32)mz_crc32(
file_crc32, (const mz_uint8 *)pRead_buf, (size_t)read_buf_avail);
if (pCallback(pOpaque, out_buf_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
out_buf_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
}
}
} else {
tinfl_decompressor inflator;
tinfl_init(&inflator);
if (NULL == (pWrite_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
TINFL_LZ_DICT_SIZE)))
status = TINFL_STATUS_FAILED;
else {
do {
mz_uint8 *pWrite_buf_cur =
(mz_uint8 *)pWrite_buf + (out_buf_ofs & (TINFL_LZ_DICT_SIZE - 1));
size_t in_buf_size,
out_buf_size =
TINFL_LZ_DICT_SIZE - (out_buf_ofs & (TINFL_LZ_DICT_SIZE - 1));
if ((!read_buf_avail) && (!pZip->m_pState->m_pMem)) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
read_buf_ofs = 0;
}
in_buf_size = (size_t)read_buf_avail;
status = tinfl_decompress(
&inflator, (const mz_uint8 *)pRead_buf + read_buf_ofs, &in_buf_size,
(mz_uint8 *)pWrite_buf, pWrite_buf_cur, &out_buf_size,
comp_remaining ? TINFL_FLAG_HAS_MORE_INPUT : 0);
read_buf_avail -= in_buf_size;
read_buf_ofs += in_buf_size;
if (out_buf_size) {
if (pCallback(pOpaque, out_buf_ofs, pWrite_buf_cur, out_buf_size) !=
out_buf_size) {
status = TINFL_STATUS_FAILED;
break;
}
file_crc32 =
(mz_uint32)mz_crc32(file_crc32, pWrite_buf_cur, out_buf_size);
if ((out_buf_ofs += out_buf_size) > file_stat.m_uncomp_size) {
status = TINFL_STATUS_FAILED;
break;
}
}
} while ((status == TINFL_STATUS_NEEDS_MORE_INPUT) ||
(status == TINFL_STATUS_HAS_MORE_OUTPUT));
}
}
if ((status == TINFL_STATUS_DONE) &&
(!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))) {
// Make sure the entire file was decompressed, and check its CRC.
if ((out_buf_ofs != file_stat.m_uncomp_size) ||
(file_crc32 != file_stat.m_crc32))
status = TINFL_STATUS_FAILED;
}
if (!pZip->m_pState->m_pMem) pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
if (pWrite_buf) pZip->m_pFree(pZip->m_pAlloc_opaque, pWrite_buf);
return status == TINFL_STATUS_DONE;
}
mz_bool mz_zip_reader_extract_file_to_callback(mz_zip_archive *pZip,
const char *pFilename,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_callback(pZip, file_index, pCallback, pOpaque,
flags);
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_write_callback(void *pOpaque, mz_uint64 ofs,
const void *pBuf, size_t n) {
(void)ofs;
return MZ_FWRITE(pBuf, 1, n, (MZ_FILE *)pOpaque);
}
mz_bool mz_zip_reader_extract_to_file(mz_zip_archive *pZip, mz_uint file_index,
const char *pDst_filename,
mz_uint flags) {
mz_bool status;
mz_zip_archive_file_stat file_stat;
MZ_FILE *pFile;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
pFile = MZ_FOPEN(pDst_filename, "wb");
if (!pFile) return MZ_FALSE;
status = mz_zip_reader_extract_to_callback(
pZip, file_index, mz_zip_file_write_callback, pFile, flags);
if (MZ_FCLOSE(pFile) == EOF) return MZ_FALSE;
#ifndef MINIZ_NO_TIME
if (status)
mz_zip_set_file_times(pDst_filename, file_stat.m_time, file_stat.m_time);
#endif
return status;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_end(mz_zip_archive *pZip) {
if ((!pZip) || (!pZip->m_pState) || (!pZip->m_pAlloc) || (!pZip->m_pFree) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return MZ_FALSE;
if (pZip->m_pState) {
mz_zip_internal_state *pState = pZip->m_pState;
pZip->m_pState = NULL;
mz_zip_array_clear(pZip, &pState->m_central_dir);
mz_zip_array_clear(pZip, &pState->m_central_dir_offsets);
mz_zip_array_clear(pZip, &pState->m_sorted_central_dir_offsets);
#ifndef MINIZ_NO_STDIO
if (pState->m_pFile) {
MZ_FCLOSE(pState->m_pFile);
pState->m_pFile = NULL;
}
#endif // #ifndef MINIZ_NO_STDIO
pZip->m_pFree(pZip->m_pAlloc_opaque, pState);
}
pZip->m_zip_mode = MZ_ZIP_MODE_INVALID;
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_extract_file_to_file(mz_zip_archive *pZip,
const char *pArchive_filename,
const char *pDst_filename,
mz_uint flags) {
int file_index =
mz_zip_reader_locate_file(pZip, pArchive_filename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_file(pZip, file_index, pDst_filename, flags);
}
#endif
// ------------------- .ZIP archive writing
#ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
static void mz_write_le16(mz_uint8 *p, mz_uint16 v) {
p[0] = (mz_uint8)v;
p[1] = (mz_uint8)(v >> 8);
}
static void mz_write_le32(mz_uint8 *p, mz_uint32 v) {
p[0] = (mz_uint8)v;
p[1] = (mz_uint8)(v >> 8);
p[2] = (mz_uint8)(v >> 16);
p[3] = (mz_uint8)(v >> 24);
}
#define MZ_WRITE_LE16(p, v) mz_write_le16((mz_uint8 *)(p), (mz_uint16)(v))
#define MZ_WRITE_LE32(p, v) mz_write_le32((mz_uint8 *)(p), (mz_uint32)(v))
mz_bool mz_zip_writer_init(mz_zip_archive *pZip, mz_uint64 existing_size) {
if ((!pZip) || (pZip->m_pState) || (!pZip->m_pWrite) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_INVALID))
return MZ_FALSE;
if (pZip->m_file_offset_alignment) {
// Ensure user specified file offset alignment is a power of 2.
if (pZip->m_file_offset_alignment & (pZip->m_file_offset_alignment - 1))
return MZ_FALSE;
}
if (!pZip->m_pAlloc) pZip->m_pAlloc = def_alloc_func;
if (!pZip->m_pFree) pZip->m_pFree = def_free_func;
if (!pZip->m_pRealloc) pZip->m_pRealloc = def_realloc_func;
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING;
pZip->m_archive_size = existing_size;
pZip->m_central_directory_file_ofs = 0;
pZip->m_total_files = 0;
if (NULL == (pZip->m_pState = (mz_zip_internal_state *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(mz_zip_internal_state))))
return MZ_FALSE;
memset(pZip->m_pState, 0, sizeof(mz_zip_internal_state));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir,
sizeof(mz_uint8));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir_offsets,
sizeof(mz_uint32));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_sorted_central_dir_offsets,
sizeof(mz_uint32));
return MZ_TRUE;
}
static size_t mz_zip_heap_write_func(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_zip_internal_state *pState = pZip->m_pState;
mz_uint64 new_size = MZ_MAX(file_ofs + n, pState->m_mem_size);
#ifdef _MSC_VER
if ((!n) ||
((0, sizeof(size_t) == sizeof(mz_uint32)) && (new_size > 0x7FFFFFFF)))
#else
if ((!n) ||
((sizeof(size_t) == sizeof(mz_uint32)) && (new_size > 0x7FFFFFFF)))
#endif
return 0;
if (new_size > pState->m_mem_capacity) {
void *pNew_block;
size_t new_capacity = MZ_MAX(64, pState->m_mem_capacity);
while (new_capacity < new_size) new_capacity *= 2;
if (NULL == (pNew_block = pZip->m_pRealloc(
pZip->m_pAlloc_opaque, pState->m_pMem, 1, new_capacity)))
return 0;
pState->m_pMem = pNew_block;
pState->m_mem_capacity = new_capacity;
}
memcpy((mz_uint8 *)pState->m_pMem + file_ofs, pBuf, n);
pState->m_mem_size = (size_t)new_size;
return n;
}
mz_bool mz_zip_writer_init_heap(mz_zip_archive *pZip,
size_t size_to_reserve_at_beginning,
size_t initial_allocation_size) {
pZip->m_pWrite = mz_zip_heap_write_func;
pZip->m_pIO_opaque = pZip;
if (!mz_zip_writer_init(pZip, size_to_reserve_at_beginning)) return MZ_FALSE;
if (0 != (initial_allocation_size = MZ_MAX(initial_allocation_size,
size_to_reserve_at_beginning))) {
if (NULL == (pZip->m_pState->m_pMem = pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, initial_allocation_size))) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
pZip->m_pState->m_mem_capacity = initial_allocation_size;
}
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_write_func(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_int64 cur_ofs = MZ_FTELL64(pZip->m_pState->m_pFile);
if (((mz_int64)file_ofs < 0) ||
(((cur_ofs != (mz_int64)file_ofs)) &&
(MZ_FSEEK64(pZip->m_pState->m_pFile, (mz_int64)file_ofs, SEEK_SET))))
return 0;
return MZ_FWRITE(pBuf, 1, n, pZip->m_pState->m_pFile);
}
mz_bool mz_zip_writer_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint64 size_to_reserve_at_beginning) {
MZ_FILE *pFile;
pZip->m_pWrite = mz_zip_file_write_func;
pZip->m_pIO_opaque = pZip;
if (!mz_zip_writer_init(pZip, size_to_reserve_at_beginning)) return MZ_FALSE;
if (NULL == (pFile = MZ_FOPEN(pFilename, "wb"))) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
pZip->m_pState->m_pFile = pFile;
if (size_to_reserve_at_beginning) {
mz_uint64 cur_ofs = 0;
char buf[4096];
MZ_CLEAR_OBJ(buf);
do {
size_t n = (size_t)MZ_MIN(sizeof(buf), size_to_reserve_at_beginning);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_ofs, buf, n) != n) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
cur_ofs += n;
size_to_reserve_at_beginning -= n;
} while (size_to_reserve_at_beginning);
}
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_init_from_reader(mz_zip_archive *pZip,
const char *pFilename) {
mz_zip_internal_state *pState;
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return MZ_FALSE;
// No sense in trying to write to an archive that's already at the support max
// size
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) > 0xFFFFFFFF))
return MZ_FALSE;
pState = pZip->m_pState;
if (pState->m_pFile) {
#ifdef MINIZ_NO_STDIO
pFilename;
return MZ_FALSE;
#else
// Archive is being read from stdio - try to reopen as writable.
if (pZip->m_pIO_opaque != pZip) return MZ_FALSE;
if (!pFilename) return MZ_FALSE;
pZip->m_pWrite = mz_zip_file_write_func;
if (NULL ==
(pState->m_pFile = MZ_FREOPEN(pFilename, "r+b", pState->m_pFile))) {
// The mz_zip_archive is now in a bogus state because pState->m_pFile is
// NULL, so just close it.
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
#endif // #ifdef MINIZ_NO_STDIO
} else if (pState->m_pMem) {
// Archive lives in a memory block. Assume it's from the heap that we can
// resize using the realloc callback.
if (pZip->m_pIO_opaque != pZip) return MZ_FALSE;
pState->m_mem_capacity = pState->m_mem_size;
pZip->m_pWrite = mz_zip_heap_write_func;
}
// Archive is being read via a user provided read function - make sure the
// user has specified a write function too.
else if (!pZip->m_pWrite)
return MZ_FALSE;
// Start writing new files at the archive's current central directory
// location.
pZip->m_archive_size = pZip->m_central_directory_file_ofs;
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING;
pZip->m_central_directory_file_ofs = 0;
return MZ_TRUE;
}
mz_bool mz_zip_writer_add_mem(mz_zip_archive *pZip, const char *pArchive_name,
const void *pBuf, size_t buf_size,
mz_uint level_and_flags) {
return mz_zip_writer_add_mem_ex(pZip, pArchive_name, pBuf, buf_size, NULL, 0,
level_and_flags, 0, 0);
}
typedef struct {
mz_zip_archive *m_pZip;
mz_uint64 m_cur_archive_file_ofs;
mz_uint64 m_comp_size;
} mz_zip_writer_add_state;
static mz_bool mz_zip_writer_add_put_buf_callback(const void *pBuf, int len,
void *pUser) {
mz_zip_writer_add_state *pState = (mz_zip_writer_add_state *)pUser;
if ((int)pState->m_pZip->m_pWrite(pState->m_pZip->m_pIO_opaque,
pState->m_cur_archive_file_ofs, pBuf,
len) != len)
return MZ_FALSE;
pState->m_cur_archive_file_ofs += len;
pState->m_comp_size += len;
return MZ_TRUE;
}
static mz_bool mz_zip_writer_create_local_dir_header(
mz_zip_archive *pZip, mz_uint8 *pDst, mz_uint16 filename_size,
mz_uint16 extra_size, mz_uint64 uncomp_size, mz_uint64 comp_size,
mz_uint32 uncomp_crc32, mz_uint16 method, mz_uint16 bit_flags,
mz_uint16 dos_time, mz_uint16 dos_date) {
(void)pZip;
memset(pDst, 0, MZ_ZIP_LOCAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_SIG_OFS, MZ_ZIP_LOCAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_VERSION_NEEDED_OFS, method ? 20 : 0);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_BIT_FLAG_OFS, bit_flags);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_METHOD_OFS, method);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILE_TIME_OFS, dos_time);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILE_DATE_OFS, dos_date);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_CRC32_OFS, uncomp_crc32);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_COMPRESSED_SIZE_OFS, comp_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_DECOMPRESSED_SIZE_OFS, uncomp_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILENAME_LEN_OFS, filename_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_EXTRA_LEN_OFS, extra_size);
return MZ_TRUE;
}
static mz_bool mz_zip_writer_create_central_dir_header(
mz_zip_archive *pZip, mz_uint8 *pDst, mz_uint16 filename_size,
mz_uint16 extra_size, mz_uint16 comment_size, mz_uint64 uncomp_size,
mz_uint64 comp_size, mz_uint32 uncomp_crc32, mz_uint16 method,
mz_uint16 bit_flags, mz_uint16 dos_time, mz_uint16 dos_date,
mz_uint64 local_header_ofs, mz_uint32 ext_attributes) {
(void)pZip;
memset(pDst, 0, MZ_ZIP_CENTRAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_SIG_OFS, MZ_ZIP_CENTRAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_VERSION_NEEDED_OFS, method ? 20 : 0);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_BIT_FLAG_OFS, bit_flags);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_METHOD_OFS, method);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILE_TIME_OFS, dos_time);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILE_DATE_OFS, dos_date);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_CRC32_OFS, uncomp_crc32);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS, comp_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS, uncomp_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILENAME_LEN_OFS, filename_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_EXTRA_LEN_OFS, extra_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_COMMENT_LEN_OFS, comment_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS, ext_attributes);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_LOCAL_HEADER_OFS, local_header_ofs);
return MZ_TRUE;
}
static mz_bool mz_zip_writer_add_to_central_dir(
mz_zip_archive *pZip, const char *pFilename, mz_uint16 filename_size,
const void *pExtra, mz_uint16 extra_size, const void *pComment,
mz_uint16 comment_size, mz_uint64 uncomp_size, mz_uint64 comp_size,
mz_uint32 uncomp_crc32, mz_uint16 method, mz_uint16 bit_flags,
mz_uint16 dos_time, mz_uint16 dos_date, mz_uint64 local_header_ofs,
mz_uint32 ext_attributes) {
mz_zip_internal_state *pState = pZip->m_pState;
mz_uint32 central_dir_ofs = (mz_uint32)pState->m_central_dir.m_size;
size_t orig_central_dir_size = pState->m_central_dir.m_size;
mz_uint8 central_dir_header[MZ_ZIP_CENTRAL_DIR_HEADER_SIZE];
// No zip64 support yet
if ((local_header_ofs > 0xFFFFFFFF) ||
(((mz_uint64)pState->m_central_dir.m_size +
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + filename_size + extra_size +
comment_size) > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_central_dir_header(
pZip, central_dir_header, filename_size, extra_size, comment_size,
uncomp_size, comp_size, uncomp_crc32, method, bit_flags, dos_time,
dos_date, local_header_ofs, ext_attributes))
return MZ_FALSE;
if ((!mz_zip_array_push_back(pZip, &pState->m_central_dir, central_dir_header,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pFilename,
filename_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pExtra,
extra_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pComment,
comment_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir_offsets,
¢ral_dir_ofs, 1))) {
// Try to push the central directory array back into its original state.
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
return MZ_TRUE;
}
static mz_bool mz_zip_writer_validate_archive_name(const char *pArchive_name) {
// Basic ZIP archive filename validity checks: Valid filenames cannot start
// with a forward slash, cannot contain a drive letter, and cannot use
// DOS-style backward slashes.
if (*pArchive_name == '/') return MZ_FALSE;
while (*pArchive_name) {
if ((*pArchive_name == '\\') || (*pArchive_name == ':')) return MZ_FALSE;
pArchive_name++;
}
return MZ_TRUE;
}
static mz_uint mz_zip_writer_compute_padding_needed_for_file_alignment(
mz_zip_archive *pZip) {
mz_uint32 n;
if (!pZip->m_file_offset_alignment) return 0;
n = (mz_uint32)(pZip->m_archive_size & (pZip->m_file_offset_alignment - 1));
return (pZip->m_file_offset_alignment - n) &
(pZip->m_file_offset_alignment - 1);
}
static mz_bool mz_zip_writer_write_zeros(mz_zip_archive *pZip,
mz_uint64 cur_file_ofs, mz_uint32 n) {
char buf[4096];
memset(buf, 0, MZ_MIN(sizeof(buf), n));
while (n) {
mz_uint32 s = MZ_MIN(sizeof(buf), n);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_file_ofs, buf, s) != s)
return MZ_FALSE;
cur_file_ofs += s;
n -= s;
}
return MZ_TRUE;
}
mz_bool mz_zip_writer_add_mem_ex(mz_zip_archive *pZip,
const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags, mz_uint64 uncomp_size,
mz_uint32 uncomp_crc32) {
mz_uint16 method = 0, dos_time = 0, dos_date = 0;
mz_uint level, ext_attributes = 0, num_alignment_padding_bytes;
mz_uint64 local_dir_header_ofs = pZip->m_archive_size,
cur_archive_file_ofs = pZip->m_archive_size, comp_size = 0;
size_t archive_name_size;
mz_uint8 local_dir_header[MZ_ZIP_LOCAL_DIR_HEADER_SIZE];
tdefl_compressor *pComp = NULL;
mz_bool store_data_uncompressed;
mz_zip_internal_state *pState;
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
level = level_and_flags & 0xF;
store_data_uncompressed =
((!level) || (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA));
if ((!pZip) || (!pZip->m_pState) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) || ((buf_size) && (!pBuf)) ||
(!pArchive_name) || ((comment_size) && (!pComment)) ||
(pZip->m_total_files == 0xFFFF) || (level > MZ_UBER_COMPRESSION))
return MZ_FALSE;
pState = pZip->m_pState;
if ((!(level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (uncomp_size))
return MZ_FALSE;
// No zip64 support yet
if ((buf_size > 0xFFFFFFFF) || (uncomp_size > 0xFFFFFFFF)) return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
#ifndef MINIZ_NO_TIME
{
time_t cur_time;
time(&cur_time);
mz_zip_time_to_dos_time(cur_time, &dos_time, &dos_date);
}
#endif // #ifndef MINIZ_NO_TIME
archive_name_size = strlen(pArchive_name);
if (archive_name_size > 0xFFFF) return MZ_FALSE;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
comment_size + archive_name_size) > 0xFFFFFFFF))
return MZ_FALSE;
if ((archive_name_size) && (pArchive_name[archive_name_size - 1] == '/')) {
// Set DOS Subdirectory attribute bit.
ext_attributes |= 0x10;
// Subdirectories cannot contain data.
if ((buf_size) || (uncomp_size)) return MZ_FALSE;
}
// Try to do any allocations before writing to the archive, so if an
// allocation fails the file remains unmodified. (A good idea if we're doing
// an in-place modification.)
if ((!mz_zip_array_ensure_room(
pZip, &pState->m_central_dir,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + archive_name_size + comment_size)) ||
(!mz_zip_array_ensure_room(pZip, &pState->m_central_dir_offsets, 1)))
return MZ_FALSE;
if ((!store_data_uncompressed) && (buf_size)) {
if (NULL == (pComp = (tdefl_compressor *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(tdefl_compressor))))
return MZ_FALSE;
}
if (!mz_zip_writer_write_zeros(
pZip, cur_archive_file_ofs,
num_alignment_padding_bytes + sizeof(local_dir_header))) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
local_dir_header_ofs += num_alignment_padding_bytes;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
cur_archive_file_ofs +=
num_alignment_padding_bytes + sizeof(local_dir_header);
MZ_CLEAR_OBJ(local_dir_header);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pArchive_name,
archive_name_size) != archive_name_size) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
cur_archive_file_ofs += archive_name_size;
if (!(level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) {
uncomp_crc32 =
(mz_uint32)mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf, buf_size);
uncomp_size = buf_size;
if (uncomp_size <= 3) {
level = 0;
store_data_uncompressed = MZ_TRUE;
}
}
if (store_data_uncompressed) {
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pBuf,
buf_size) != buf_size) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
cur_archive_file_ofs += buf_size;
comp_size = buf_size;
if (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA) method = MZ_DEFLATED;
} else if (buf_size) {
mz_zip_writer_add_state state;
state.m_pZip = pZip;
state.m_cur_archive_file_ofs = cur_archive_file_ofs;
state.m_comp_size = 0;
if ((tdefl_init(pComp, mz_zip_writer_add_put_buf_callback, &state,
tdefl_create_comp_flags_from_zip_params(
level, -15, MZ_DEFAULT_STRATEGY)) !=
TDEFL_STATUS_OKAY) ||
(tdefl_compress_buffer(pComp, pBuf, buf_size, TDEFL_FINISH) !=
TDEFL_STATUS_DONE)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
comp_size = state.m_comp_size;
cur_archive_file_ofs = state.m_cur_archive_file_ofs;
method = MZ_DEFLATED;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
pComp = NULL;
// no zip64 support yet
if ((comp_size > 0xFFFFFFFF) || (cur_archive_file_ofs > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_local_dir_header(
pZip, local_dir_header, (mz_uint16)archive_name_size, 0, uncomp_size,
comp_size, uncomp_crc32, method, 0, dos_time, dos_date))
return MZ_FALSE;
if (pZip->m_pWrite(pZip->m_pIO_opaque, local_dir_header_ofs, local_dir_header,
sizeof(local_dir_header)) != sizeof(local_dir_header))
return MZ_FALSE;
if (!mz_zip_writer_add_to_central_dir(
pZip, pArchive_name, (mz_uint16)archive_name_size, NULL, 0, pComment,
comment_size, uncomp_size, comp_size, uncomp_crc32, method, 0,
dos_time, dos_date, local_dir_header_ofs, ext_attributes))
return MZ_FALSE;
pZip->m_total_files++;
pZip->m_archive_size = cur_archive_file_ofs;
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_add_file(mz_zip_archive *pZip, const char *pArchive_name,
const char *pSrc_filename, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags) {
mz_uint uncomp_crc32 = MZ_CRC32_INIT, level, num_alignment_padding_bytes;
mz_uint16 method = 0, dos_time = 0, dos_date = 0, ext_attributes = 0;
mz_uint64 local_dir_header_ofs = pZip->m_archive_size,
cur_archive_file_ofs = pZip->m_archive_size, uncomp_size = 0,
comp_size = 0;
size_t archive_name_size;
mz_uint8 local_dir_header[MZ_ZIP_LOCAL_DIR_HEADER_SIZE];
MZ_FILE *pSrc_file = NULL;
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
level = level_and_flags & 0xF;
if ((!pZip) || (!pZip->m_pState) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) || (!pArchive_name) ||
((comment_size) && (!pComment)) || (level > MZ_UBER_COMPRESSION))
return MZ_FALSE;
if (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA) return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
archive_name_size = strlen(pArchive_name);
if (archive_name_size > 0xFFFF) return MZ_FALSE;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
comment_size + archive_name_size) > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_get_file_modified_time(pSrc_filename, &dos_time, &dos_date))
return MZ_FALSE;
pSrc_file = MZ_FOPEN(pSrc_filename, "rb");
if (!pSrc_file) return MZ_FALSE;
MZ_FSEEK64(pSrc_file, 0, SEEK_END);
uncomp_size = MZ_FTELL64(pSrc_file);
MZ_FSEEK64(pSrc_file, 0, SEEK_SET);
if (uncomp_size > 0xFFFFFFFF) {
// No zip64 support yet
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
if (uncomp_size <= 3) level = 0;
if (!mz_zip_writer_write_zeros(
pZip, cur_archive_file_ofs,
num_alignment_padding_bytes + sizeof(local_dir_header))) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
local_dir_header_ofs += num_alignment_padding_bytes;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
cur_archive_file_ofs +=
num_alignment_padding_bytes + sizeof(local_dir_header);
MZ_CLEAR_OBJ(local_dir_header);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pArchive_name,
archive_name_size) != archive_name_size) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
cur_archive_file_ofs += archive_name_size;
if (uncomp_size) {
mz_uint64 uncomp_remaining = uncomp_size;
void *pRead_buf =
pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1, MZ_ZIP_MAX_IO_BUF_SIZE);
if (!pRead_buf) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
if (!level) {
while (uncomp_remaining) {
mz_uint n =
(mz_uint)MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE, uncomp_remaining);
if ((MZ_FREAD(pRead_buf, 1, n, pSrc_file) != n) ||
(pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pRead_buf,
n) != n)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
uncomp_crc32 =
(mz_uint32)mz_crc32(uncomp_crc32, (const mz_uint8 *)pRead_buf, n);
uncomp_remaining -= n;
cur_archive_file_ofs += n;
}
comp_size = uncomp_size;
} else {
mz_bool result = MZ_FALSE;
mz_zip_writer_add_state state;
tdefl_compressor *pComp = (tdefl_compressor *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(tdefl_compressor));
if (!pComp) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
state.m_pZip = pZip;
state.m_cur_archive_file_ofs = cur_archive_file_ofs;
state.m_comp_size = 0;
if (tdefl_init(pComp, mz_zip_writer_add_put_buf_callback, &state,
tdefl_create_comp_flags_from_zip_params(
level, -15, MZ_DEFAULT_STRATEGY)) !=
TDEFL_STATUS_OKAY) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
for (;;) {
size_t in_buf_size = (mz_uint32)MZ_MIN(uncomp_remaining,
(mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
tdefl_status status;
if (MZ_FREAD(pRead_buf, 1, in_buf_size, pSrc_file) != in_buf_size)
break;
uncomp_crc32 = (mz_uint32)mz_crc32(
uncomp_crc32, (const mz_uint8 *)pRead_buf, in_buf_size);
uncomp_remaining -= in_buf_size;
status = tdefl_compress_buffer(
pComp, pRead_buf, in_buf_size,
uncomp_remaining ? TDEFL_NO_FLUSH : TDEFL_FINISH);
if (status == TDEFL_STATUS_DONE) {
result = MZ_TRUE;
break;
} else if (status != TDEFL_STATUS_OKAY)
break;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
if (!result) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
comp_size = state.m_comp_size;
cur_archive_file_ofs = state.m_cur_archive_file_ofs;
method = MZ_DEFLATED;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
}
MZ_FCLOSE(pSrc_file);
pSrc_file = NULL;
// no zip64 support yet
if ((comp_size > 0xFFFFFFFF) || (cur_archive_file_ofs > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_local_dir_header(
pZip, local_dir_header, (mz_uint16)archive_name_size, 0, uncomp_size,
comp_size, uncomp_crc32, method, 0, dos_time, dos_date))
return MZ_FALSE;
if (pZip->m_pWrite(pZip->m_pIO_opaque, local_dir_header_ofs, local_dir_header,
sizeof(local_dir_header)) != sizeof(local_dir_header))
return MZ_FALSE;
if (!mz_zip_writer_add_to_central_dir(
pZip, pArchive_name, (mz_uint16)archive_name_size, NULL, 0, pComment,
comment_size, uncomp_size, comp_size, uncomp_crc32, method, 0,
dos_time, dos_date, local_dir_header_ofs, ext_attributes))
return MZ_FALSE;
pZip->m_total_files++;
pZip->m_archive_size = cur_archive_file_ofs;
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_add_from_zip_reader(mz_zip_archive *pZip,
mz_zip_archive *pSource_zip,
mz_uint file_index) {
mz_uint n, bit_flags, num_alignment_padding_bytes;
mz_uint64 comp_bytes_remaining, local_dir_header_ofs;
mz_uint64 cur_src_file_ofs, cur_dst_file_ofs;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
mz_uint8 central_header[MZ_ZIP_CENTRAL_DIR_HEADER_SIZE];
size_t orig_central_dir_size;
mz_zip_internal_state *pState;
void *pBuf;
const mz_uint8 *pSrc_central_header;
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_WRITING))
return MZ_FALSE;
if (NULL ==
(pSrc_central_header = mz_zip_reader_get_cdh(pSource_zip, file_index)))
return MZ_FALSE;
pState = pZip->m_pState;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE) >
0xFFFFFFFF))
return MZ_FALSE;
cur_src_file_ofs =
MZ_READ_LE32(pSrc_central_header + MZ_ZIP_CDH_LOCAL_HEADER_OFS);
cur_dst_file_ofs = pZip->m_archive_size;
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs,
pLocal_header, MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_src_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE;
if (!mz_zip_writer_write_zeros(pZip, cur_dst_file_ofs,
num_alignment_padding_bytes))
return MZ_FALSE;
cur_dst_file_ofs += num_alignment_padding_bytes;
local_dir_header_ofs = cur_dst_file_ofs;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
cur_dst_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE;
n = MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
comp_bytes_remaining =
n + MZ_READ_LE32(pSrc_central_header + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
if (NULL == (pBuf = pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1,
(size_t)MZ_MAX(sizeof(mz_uint32) * 4,
MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE,
comp_bytes_remaining)))))
return MZ_FALSE;
while (comp_bytes_remaining) {
n = (mz_uint)MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE, comp_bytes_remaining);
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs, pBuf,
n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_src_file_ofs += n;
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pBuf, n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_dst_file_ofs += n;
comp_bytes_remaining -= n;
}
bit_flags = MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_BIT_FLAG_OFS);
if (bit_flags & 8) {
// Copy data descriptor
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs, pBuf,
sizeof(mz_uint32) * 4) != sizeof(mz_uint32) * 4) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
n = sizeof(mz_uint32) * ((MZ_READ_LE32(pBuf) == 0x08074b50) ? 4 : 3);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pBuf, n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_src_file_ofs += n;
cur_dst_file_ofs += n;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
// no zip64 support yet
if (cur_dst_file_ofs > 0xFFFFFFFF) return MZ_FALSE;
orig_central_dir_size = pState->m_central_dir.m_size;
memcpy(central_header, pSrc_central_header, MZ_ZIP_CENTRAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(central_header + MZ_ZIP_CDH_LOCAL_HEADER_OFS,
local_dir_header_ofs);
if (!mz_zip_array_push_back(pZip, &pState->m_central_dir, central_header,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE))
return MZ_FALSE;
n = MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_EXTRA_LEN_OFS) +
MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_COMMENT_LEN_OFS);
if (!mz_zip_array_push_back(
pZip, &pState->m_central_dir,
pSrc_central_header + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n)) {
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
if (pState->m_central_dir.m_size > 0xFFFFFFFF) return MZ_FALSE;
n = (mz_uint32)orig_central_dir_size;
if (!mz_zip_array_push_back(pZip, &pState->m_central_dir_offsets, &n, 1)) {
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
pZip->m_total_files++;
pZip->m_archive_size = cur_dst_file_ofs;
return MZ_TRUE;
}
mz_bool mz_zip_writer_finalize_archive(mz_zip_archive *pZip) {
mz_zip_internal_state *pState;
mz_uint64 central_dir_ofs, central_dir_size;
mz_uint8 hdr[MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE];
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_WRITING))
return MZ_FALSE;
pState = pZip->m_pState;
// no zip64 support yet
if ((pZip->m_total_files > 0xFFFF) ||
((pZip->m_archive_size + pState->m_central_dir.m_size +
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE) > 0xFFFFFFFF))
return MZ_FALSE;
central_dir_ofs = 0;
central_dir_size = 0;
if (pZip->m_total_files) {
// Write central directory
central_dir_ofs = pZip->m_archive_size;
central_dir_size = pState->m_central_dir.m_size;
pZip->m_central_directory_file_ofs = central_dir_ofs;
if (pZip->m_pWrite(pZip->m_pIO_opaque, central_dir_ofs,
pState->m_central_dir.m_p,
(size_t)central_dir_size) != central_dir_size)
return MZ_FALSE;
pZip->m_archive_size += central_dir_size;
}
// Write end of central directory record
MZ_CLEAR_OBJ(hdr);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_SIG_OFS,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(hdr + MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS,
pZip->m_total_files);
MZ_WRITE_LE16(hdr + MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS, pZip->m_total_files);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_CDIR_SIZE_OFS, central_dir_size);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_CDIR_OFS_OFS, central_dir_ofs);
if (pZip->m_pWrite(pZip->m_pIO_opaque, pZip->m_archive_size, hdr,
sizeof(hdr)) != sizeof(hdr))
return MZ_FALSE;
#ifndef MINIZ_NO_STDIO
if ((pState->m_pFile) && (MZ_FFLUSH(pState->m_pFile) == EOF)) return MZ_FALSE;
#endif // #ifndef MINIZ_NO_STDIO
pZip->m_archive_size += sizeof(hdr);
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED;
return MZ_TRUE;
}
mz_bool mz_zip_writer_finalize_heap_archive(mz_zip_archive *pZip, void **pBuf,
size_t *pSize) {
if ((!pZip) || (!pZip->m_pState) || (!pBuf) || (!pSize)) return MZ_FALSE;
if (pZip->m_pWrite != mz_zip_heap_write_func) return MZ_FALSE;
if (!mz_zip_writer_finalize_archive(pZip)) return MZ_FALSE;
*pBuf = pZip->m_pState->m_pMem;
*pSize = pZip->m_pState->m_mem_size;
pZip->m_pState->m_pMem = NULL;
pZip->m_pState->m_mem_size = pZip->m_pState->m_mem_capacity = 0;
return MZ_TRUE;
}
mz_bool mz_zip_writer_end(mz_zip_archive *pZip) {
mz_zip_internal_state *pState;
mz_bool status = MZ_TRUE;
if ((!pZip) || (!pZip->m_pState) || (!pZip->m_pAlloc) || (!pZip->m_pFree) ||
((pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) &&
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED)))
return MZ_FALSE;
pState = pZip->m_pState;
pZip->m_pState = NULL;
mz_zip_array_clear(pZip, &pState->m_central_dir);
mz_zip_array_clear(pZip, &pState->m_central_dir_offsets);
mz_zip_array_clear(pZip, &pState->m_sorted_central_dir_offsets);
#ifndef MINIZ_NO_STDIO
if (pState->m_pFile) {
MZ_FCLOSE(pState->m_pFile);
pState->m_pFile = NULL;
}
#endif // #ifndef MINIZ_NO_STDIO
if ((pZip->m_pWrite == mz_zip_heap_write_func) && (pState->m_pMem)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pState->m_pMem);
pState->m_pMem = NULL;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pState);
pZip->m_zip_mode = MZ_ZIP_MODE_INVALID;
return status;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_add_mem_to_archive_file_in_place(
const char *pZip_filename, const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment, mz_uint16 comment_size,
mz_uint level_and_flags) {
mz_bool status, created_new_archive = MZ_FALSE;
mz_zip_archive zip_archive;
struct MZ_FILE_STAT_STRUCT file_stat;
MZ_CLEAR_OBJ(zip_archive);
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
if ((!pZip_filename) || (!pArchive_name) || ((buf_size) && (!pBuf)) ||
((comment_size) && (!pComment)) ||
((level_and_flags & 0xF) > MZ_UBER_COMPRESSION))
return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
if (MZ_FILE_STAT(pZip_filename, &file_stat) != 0) {
// Create a new archive.
if (!mz_zip_writer_init_file(&zip_archive, pZip_filename, 0))
return MZ_FALSE;
created_new_archive = MZ_TRUE;
} else {
// Append to an existing archive.
if (!mz_zip_reader_init_file(
&zip_archive, pZip_filename,
level_and_flags | MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY))
return MZ_FALSE;
if (!mz_zip_writer_init_from_reader(&zip_archive, pZip_filename)) {
mz_zip_reader_end(&zip_archive);
return MZ_FALSE;
}
}
status =
mz_zip_writer_add_mem_ex(&zip_archive, pArchive_name, pBuf, buf_size,
pComment, comment_size, level_and_flags, 0, 0);
// Always finalize, even if adding failed for some reason, so we have a valid
// central directory. (This may not always succeed, but we can try.)
if (!mz_zip_writer_finalize_archive(&zip_archive)) status = MZ_FALSE;
if (!mz_zip_writer_end(&zip_archive)) status = MZ_FALSE;
if ((!status) && (created_new_archive)) {
// It's a new archive and something went wrong, so just delete it.
int ignoredStatus = MZ_DELETE_FILE(pZip_filename);
(void)ignoredStatus;
}
return status;
}
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename,
const char *pArchive_name,
size_t *pSize, mz_uint flags) {
int file_index;
mz_zip_archive zip_archive;
void *p = NULL;
if (pSize) *pSize = 0;
if ((!pZip_filename) || (!pArchive_name)) return NULL;
MZ_CLEAR_OBJ(zip_archive);
if (!mz_zip_reader_init_file(
&zip_archive, pZip_filename,
flags | MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY))
return NULL;
if ((file_index = mz_zip_reader_locate_file(&zip_archive, pArchive_name, NULL,
flags)) >= 0)
p = mz_zip_reader_extract_to_heap(&zip_archive, file_index, pSize, flags);
mz_zip_reader_end(&zip_archive);
return p;
}
#endif // #ifndef MINIZ_NO_STDIO
#endif // #ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
#endif // #ifndef MINIZ_NO_ARCHIVE_APIS
#ifdef __cplusplus
}
#endif
#endif // MINIZ_HEADER_FILE_ONLY
/*
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
For more information, please refer to <http://unlicense.org/>
*/
// ---------------------- end of miniz ----------------------------------------
#ifdef __clang__
#pragma clang diagnostic pop
#endif
}
#else
// Reuse MINIZ_LITTE_ENDIAN macro
#if defined(__sparcv9)
// Big endian
#else
#if (__BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__) || MINIZ_X86_OR_X64_CPU
// Set MINIZ_LITTLE_ENDIAN to 1 if the processor is little endian.
#define MINIZ_LITTLE_ENDIAN 1
#endif
#endif
#endif // TINYEXR_USE_MINIZ
// static bool IsBigEndian(void) {
// union {
// unsigned int i;
// char c[4];
// } bint = {0x01020304};
//
// return bint.c[0] == 1;
//}
static const int kEXRVersionSize = 8;
static void swap2(unsigned short *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
unsigned short tmp = *val;
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[1];
dst[1] = src[0];
#endif
}
static void swap4(unsigned int *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
unsigned int tmp = *val;
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[3];
dst[1] = src[2];
dst[2] = src[1];
dst[3] = src[0];
#endif
}
static void swap8(tinyexr::tinyexr_uint64 *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
tinyexr::tinyexr_uint64 tmp = (*val);
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[7];
dst[1] = src[6];
dst[2] = src[5];
dst[3] = src[4];
dst[4] = src[3];
dst[5] = src[2];
dst[6] = src[1];
dst[7] = src[0];
#endif
}
// https://gist.github.com/rygorous/2156668
// Reuse MINIZ_LITTLE_ENDIAN flag from miniz.
union FP32 {
unsigned int u;
float f;
struct {
#if MINIZ_LITTLE_ENDIAN
unsigned int Mantissa : 23;
unsigned int Exponent : 8;
unsigned int Sign : 1;
#else
unsigned int Sign : 1;
unsigned int Exponent : 8;
unsigned int Mantissa : 23;
#endif
} s;
};
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wpadded"
#endif
union FP16 {
unsigned short u;
struct {
#if MINIZ_LITTLE_ENDIAN
unsigned int Mantissa : 10;
unsigned int Exponent : 5;
unsigned int Sign : 1;
#else
unsigned int Sign : 1;
unsigned int Exponent : 5;
unsigned int Mantissa : 10;
#endif
} s;
};
#ifdef __clang__
#pragma clang diagnostic pop
#endif
static FP32 half_to_float(FP16 h) {
static const FP32 magic = {113 << 23};
static const unsigned int shifted_exp = 0x7c00
<< 13; // exponent mask after shift
FP32 o;
o.u = (h.u & 0x7fffU) << 13U; // exponent/mantissa bits
unsigned int exp_ = shifted_exp & o.u; // just the exponent
o.u += (127 - 15) << 23; // exponent adjust
// handle exponent special cases
if (exp_ == shifted_exp) // Inf/NaN?
o.u += (128 - 16) << 23; // extra exp adjust
else if (exp_ == 0) // Zero/Denormal?
{
o.u += 1 << 23; // extra exp adjust
o.f -= magic.f; // renormalize
}
o.u |= (h.u & 0x8000U) << 16U; // sign bit
return o;
}
static FP16 float_to_half_full(FP32 f) {
FP16 o = {0};
// Based on ISPC reference code (with minor modifications)
if (f.s.Exponent == 0) // Signed zero/denormal (which will underflow)
o.s.Exponent = 0;
else if (f.s.Exponent == 255) // Inf or NaN (all exponent bits set)
{
o.s.Exponent = 31;
o.s.Mantissa = f.s.Mantissa ? 0x200 : 0; // NaN->qNaN and Inf->Inf
} else // Normalized number
{
// Exponent unbias the single, then bias the halfp
int newexp = f.s.Exponent - 127 + 15;
if (newexp >= 31) // Overflow, return signed infinity
o.s.Exponent = 31;
else if (newexp <= 0) // Underflow
{
if ((14 - newexp) <= 24) // Mantissa might be non-zero
{
unsigned int mant = f.s.Mantissa | 0x800000; // Hidden 1 bit
o.s.Mantissa = mant >> (14 - newexp);
if ((mant >> (13 - newexp)) & 1) // Check for rounding
o.u++; // Round, might overflow into exp bit, but this is OK
}
} else {
o.s.Exponent = static_cast<unsigned int>(newexp);
o.s.Mantissa = f.s.Mantissa >> 13;
if (f.s.Mantissa & 0x1000) // Check for rounding
o.u++; // Round, might overflow to inf, this is OK
}
}
o.s.Sign = f.s.Sign;
return o;
}
// NOTE: From OpenEXR code
// #define IMF_INCREASING_Y 0
// #define IMF_DECREASING_Y 1
// #define IMF_RAMDOM_Y 2
//
// #define IMF_NO_COMPRESSION 0
// #define IMF_RLE_COMPRESSION 1
// #define IMF_ZIPS_COMPRESSION 2
// #define IMF_ZIP_COMPRESSION 3
// #define IMF_PIZ_COMPRESSION 4
// #define IMF_PXR24_COMPRESSION 5
// #define IMF_B44_COMPRESSION 6
// #define IMF_B44A_COMPRESSION 7
static const char *ReadString(std::string *s, const char *ptr) {
// Read untile NULL(\0).
const char *p = ptr;
const char *q = ptr;
while ((*q) != 0) q++;
(*s) = std::string(p, q);
return q + 1; // skip '\0'
}
static bool ReadAttribute(std::string *name, std::string *type,
std::vector<unsigned char> *data, size_t *marker_size,
const char *marker, size_t size) {
size_t name_len = strnlen(marker, size);
if (name_len == size) {
// String does not have a terminating character.
return false;
}
*name = std::string(marker, name_len);
marker += name_len + 1;
size -= name_len + 1;
size_t type_len = strnlen(marker, size);
if (type_len == size) {
return false;
}
*type = std::string(marker, type_len);
marker += type_len + 1;
size -= type_len + 1;
if (size < sizeof(uint32_t)) {
return false;
}
uint32_t data_len;
memcpy(&data_len, marker, sizeof(uint32_t));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
marker += sizeof(uint32_t);
size -= sizeof(uint32_t);
if (size < data_len) {
return false;
}
data->resize(static_cast<size_t>(data_len));
memcpy(&data->at(0), marker, static_cast<size_t>(data_len));
*marker_size = name_len + 1 + type_len + 1 + sizeof(uint32_t) + data_len;
return true;
}
static void WriteAttributeToMemory(std::vector<unsigned char> *out,
const char *name, const char *type,
const unsigned char *data, int len) {
out->insert(out->end(), name, name + strlen(name) + 1);
out->insert(out->end(), type, type + strlen(type) + 1);
int outLen = len;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&outLen));
out->insert(out->end(), reinterpret_cast<unsigned char *>(&outLen),
reinterpret_cast<unsigned char *>(&outLen) + sizeof(int));
out->insert(out->end(), data, data + len);
}
typedef struct {
std::string name; // less than 255 bytes long
int pixel_type;
int x_sampling;
int y_sampling;
unsigned char p_linear;
unsigned char pad[3];
} ChannelInfo;
typedef struct {
std::vector<tinyexr::ChannelInfo> channels;
std::vector<EXRAttribute> attributes;
int data_window[4];
int line_order;
int display_window[4];
float screen_window_center[2];
float screen_window_width;
float pixel_aspect_ratio;
int chunk_count;
// Tiled format
int tile_size_x;
int tile_size_y;
int tile_level_mode;
int tile_rounding_mode;
unsigned int header_len;
int compression_type;
void clear() {
channels.clear();
attributes.clear();
data_window[0] = 0;
data_window[1] = 0;
data_window[2] = 0;
data_window[3] = 0;
line_order = 0;
display_window[0] = 0;
display_window[1] = 0;
display_window[2] = 0;
display_window[3] = 0;
screen_window_center[0] = 0.0f;
screen_window_center[1] = 0.0f;
screen_window_width = 0.0f;
pixel_aspect_ratio = 0.0f;
chunk_count = 0;
// Tiled format
tile_size_x = 0;
tile_size_y = 0;
tile_level_mode = 0;
tile_rounding_mode = 0;
header_len = 0;
compression_type = 0;
}
} HeaderInfo;
static void ReadChannelInfo(std::vector<ChannelInfo> &channels,
const std::vector<unsigned char> &data) {
const char *p = reinterpret_cast<const char *>(&data.at(0));
for (;;) {
if ((*p) == 0) {
break;
}
ChannelInfo info;
p = ReadString(&info.name, p);
memcpy(&info.pixel_type, p, sizeof(int));
p += 4;
info.p_linear = static_cast<unsigned char>(p[0]); // uchar
p += 1 + 3; // reserved: uchar[3]
memcpy(&info.x_sampling, p, sizeof(int)); // int
p += 4;
memcpy(&info.y_sampling, p, sizeof(int)); // int
p += 4;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.pixel_type));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.x_sampling));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.y_sampling));
channels.push_back(info);
}
}
static void WriteChannelInfo(std::vector<unsigned char> &data,
const std::vector<ChannelInfo> &channels) {
size_t sz = 0;
// Calculate total size.
for (size_t c = 0; c < channels.size(); c++) {
sz += strlen(channels[c].name.c_str()) + 1; // +1 for \0
sz += 16; // 4 * int
}
data.resize(sz + 1);
unsigned char *p = &data.at(0);
for (size_t c = 0; c < channels.size(); c++) {
memcpy(p, channels[c].name.c_str(), strlen(channels[c].name.c_str()));
p += strlen(channels[c].name.c_str());
(*p) = '\0';
p++;
int pixel_type = channels[c].pixel_type;
int x_sampling = channels[c].x_sampling;
int y_sampling = channels[c].y_sampling;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&pixel_type));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&x_sampling));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y_sampling));
memcpy(p, &pixel_type, sizeof(int));
p += sizeof(int);
(*p) = channels[c].p_linear;
p += 4;
memcpy(p, &x_sampling, sizeof(int));
p += sizeof(int);
memcpy(p, &y_sampling, sizeof(int));
p += sizeof(int);
}
(*p) = '\0';
}
static void CompressZip(unsigned char *dst,
tinyexr::tinyexr_uint64 &compressedSize,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(src_size);
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
//
// Reorder the pixel data.
//
const char *srcPtr = reinterpret_cast<const char *>(src);
{
char *t1 = reinterpret_cast<char *>(&tmpBuf.at(0));
char *t2 = reinterpret_cast<char *>(&tmpBuf.at(0)) + (src_size + 1) / 2;
const char *stop = srcPtr + src_size;
for (;;) {
if (srcPtr < stop)
*(t1++) = *(srcPtr++);
else
break;
if (srcPtr < stop)
*(t2++) = *(srcPtr++);
else
break;
}
}
//
// Predictor.
//
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + src_size;
int p = t[-1];
while (t < stop) {
int d = int(t[0]) - p + (128 + 256);
p = t[0];
t[0] = static_cast<unsigned char>(d);
++t;
}
}
#if TINYEXR_USE_MINIZ
//
// Compress the data using miniz
//
miniz::mz_ulong outSize = miniz::mz_compressBound(src_size);
int ret = miniz::mz_compress(
dst, &outSize, static_cast<const unsigned char *>(&tmpBuf.at(0)),
src_size);
assert(ret == miniz::MZ_OK);
(void)ret;
compressedSize = outSize;
#else
uLong outSize = compressBound(static_cast<uLong>(src_size));
int ret = compress(dst, &outSize, static_cast<const Bytef *>(&tmpBuf.at(0)),
src_size);
assert(ret == Z_OK);
compressedSize = outSize;
#endif
}
static void DecompressZip(unsigned char *dst,
unsigned long *uncompressed_size /* inout */,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(*uncompressed_size);
#if TINYEXR_USE_MINIZ
int ret =
miniz::mz_uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
assert(ret == miniz::MZ_OK);
(void)ret;
#else
int ret = uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
assert(ret == Z_OK);
(void)ret;
#endif
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
// Predictor.
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + (*uncompressed_size);
while (t < stop) {
int d = int(t[-1]) + int(t[0]) - 128;
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// Reorder the pixel data.
{
const char *t1 = reinterpret_cast<const char *>(&tmpBuf.at(0));
const char *t2 = reinterpret_cast<const char *>(&tmpBuf.at(0)) +
(*uncompressed_size + 1) / 2;
char *s = reinterpret_cast<char *>(dst);
char *stop = s + (*uncompressed_size);
for (;;) {
if (s < stop)
*(s++) = *(t1++);
else
break;
if (s < stop)
*(s++) = *(t2++);
else
break;
}
}
}
// RLE code from OpenEXR --------------------------------------
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wsign-conversion"
#endif
const int MIN_RUN_LENGTH = 3;
const int MAX_RUN_LENGTH = 127;
//
// Compress an array of bytes, using run-length encoding,
// and return the length of the compressed data.
//
static int rleCompress(int inLength, const char in[], signed char out[]) {
const char *inEnd = in + inLength;
const char *runStart = in;
const char *runEnd = in + 1;
signed char *outWrite = out;
while (runStart < inEnd) {
while (runEnd < inEnd && *runStart == *runEnd &&
runEnd - runStart - 1 < MAX_RUN_LENGTH) {
++runEnd;
}
if (runEnd - runStart >= MIN_RUN_LENGTH) {
//
// Compressable run
//
*outWrite++ = static_cast<char>(runEnd - runStart) - 1;
*outWrite++ = *(reinterpret_cast<const signed char *>(runStart));
runStart = runEnd;
} else {
//
// Uncompressable run
//
while (runEnd < inEnd &&
((runEnd + 1 >= inEnd || *runEnd != *(runEnd + 1)) ||
(runEnd + 2 >= inEnd || *(runEnd + 1) != *(runEnd + 2))) &&
runEnd - runStart < MAX_RUN_LENGTH) {
++runEnd;
}
*outWrite++ = static_cast<char>(runStart - runEnd);
while (runStart < runEnd) {
*outWrite++ = *(reinterpret_cast<const signed char *>(runStart++));
}
}
++runEnd;
}
return static_cast<int>(outWrite - out);
}
//
// Uncompress an array of bytes compressed with rleCompress().
// Returns the length of the oncompressed data, or 0 if the
// length of the uncompressed data would be more than maxLength.
//
static int rleUncompress(int inLength, int maxLength, const signed char in[],
char out[]) {
char *outStart = out;
while (inLength > 0) {
if (*in < 0) {
int count = -(static_cast<int>(*in++));
inLength -= count + 1;
if (0 > (maxLength -= count)) return 0;
memcpy(out, in, count);
out += count;
in += count;
} else {
int count = *in++;
inLength -= 2;
if (0 > (maxLength -= count + 1)) return 0;
memset(out, *reinterpret_cast<const char *>(in), count + 1);
out += count + 1;
in++;
}
}
return static_cast<int>(out - outStart);
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif
// End of RLE code from OpenEXR -----------------------------------
static void CompressRle(unsigned char *dst,
tinyexr::tinyexr_uint64 &compressedSize,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(src_size);
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfRleCompressor.cpp
//
//
// Reorder the pixel data.
//
const char *srcPtr = reinterpret_cast<const char *>(src);
{
char *t1 = reinterpret_cast<char *>(&tmpBuf.at(0));
char *t2 = reinterpret_cast<char *>(&tmpBuf.at(0)) + (src_size + 1) / 2;
const char *stop = srcPtr + src_size;
for (;;) {
if (srcPtr < stop)
*(t1++) = *(srcPtr++);
else
break;
if (srcPtr < stop)
*(t2++) = *(srcPtr++);
else
break;
}
}
//
// Predictor.
//
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + src_size;
int p = t[-1];
while (t < stop) {
int d = int(t[0]) - p + (128 + 256);
p = t[0];
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// outSize will be (srcSiz * 3) / 2 at max.
int outSize = rleCompress(static_cast<int>(src_size),
reinterpret_cast<const char *>(&tmpBuf.at(0)),
reinterpret_cast<signed char *>(dst));
assert(outSize > 0);
compressedSize = static_cast<tinyexr::tinyexr_uint64>(outSize);
}
static void DecompressRle(unsigned char *dst,
const unsigned long uncompressed_size,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(uncompressed_size);
int ret = rleUncompress(static_cast<int>(src_size),
static_cast<int>(uncompressed_size),
reinterpret_cast<const signed char *>(src),
reinterpret_cast<char *>(&tmpBuf.at(0)));
assert(ret == static_cast<int>(uncompressed_size));
(void)ret;
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfRleCompressor.cpp
//
// Predictor.
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + uncompressed_size;
while (t < stop) {
int d = int(t[-1]) + int(t[0]) - 128;
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// Reorder the pixel data.
{
const char *t1 = reinterpret_cast<const char *>(&tmpBuf.at(0));
const char *t2 = reinterpret_cast<const char *>(&tmpBuf.at(0)) +
(uncompressed_size + 1) / 2;
char *s = reinterpret_cast<char *>(dst);
char *stop = s + uncompressed_size;
for (;;) {
if (s < stop)
*(s++) = *(t1++);
else
break;
if (s < stop)
*(s++) = *(t2++);
else
break;
}
}
}
#if TINYEXR_USE_PIZ
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#pragma clang diagnostic ignored "-Wold-style-cast"
#pragma clang diagnostic ignored "-Wpadded"
#pragma clang diagnostic ignored "-Wsign-conversion"
#pragma clang diagnostic ignored "-Wc++11-extensions"
#pragma clang diagnostic ignored "-Wconversion"
#endif
//
// PIZ compress/uncompress, based on OpenEXR's ImfPizCompressor.cpp
//
// -----------------------------------------------------------------
// Copyright (c) 2004, Industrial Light & Magic, a division of Lucas
// Digital Ltd. LLC)
// (3 clause BSD license)
//
struct PIZChannelData {
unsigned short *start;
unsigned short *end;
int nx;
int ny;
int ys;
int size;
};
//-----------------------------------------------------------------------------
//
// 16-bit Haar Wavelet encoding and decoding
//
// The source code in this file is derived from the encoding
// and decoding routines written by Christian Rouet for his
// PIZ image file format.
//
//-----------------------------------------------------------------------------
//
// Wavelet basis functions without modulo arithmetic; they produce
// the best compression ratios when the wavelet-transformed data are
// Huffman-encoded, but the wavelet transform works only for 14-bit
// data (untransformed data values must be less than (1 << 14)).
//
inline void wenc14(unsigned short a, unsigned short b, unsigned short &l,
unsigned short &h) {
short as = static_cast<short>(a);
short bs = static_cast<short>(b);
short ms = (as + bs) >> 1;
short ds = as - bs;
l = static_cast<unsigned short>(ms);
h = static_cast<unsigned short>(ds);
}
inline void wdec14(unsigned short l, unsigned short h, unsigned short &a,
unsigned short &b) {
short ls = static_cast<short>(l);
short hs = static_cast<short>(h);
int hi = hs;
int ai = ls + (hi & 1) + (hi >> 1);
short as = static_cast<short>(ai);
short bs = static_cast<short>(ai - hi);
a = static_cast<unsigned short>(as);
b = static_cast<unsigned short>(bs);
}
//
// Wavelet basis functions with modulo arithmetic; they work with full
// 16-bit data, but Huffman-encoding the wavelet-transformed data doesn't
// compress the data quite as well.
//
const int NBITS = 16;
const int A_OFFSET = 1 << (NBITS - 1);
const int M_OFFSET = 1 << (NBITS - 1);
const int MOD_MASK = (1 << NBITS) - 1;
inline void wenc16(unsigned short a, unsigned short b, unsigned short &l,
unsigned short &h) {
int ao = (a + A_OFFSET) & MOD_MASK;
int m = ((ao + b) >> 1);
int d = ao - b;
if (d < 0) m = (m + M_OFFSET) & MOD_MASK;
d &= MOD_MASK;
l = static_cast<unsigned short>(m);
h = static_cast<unsigned short>(d);
}
inline void wdec16(unsigned short l, unsigned short h, unsigned short &a,
unsigned short &b) {
int m = l;
int d = h;
int bb = (m - (d >> 1)) & MOD_MASK;
int aa = (d + bb - A_OFFSET) & MOD_MASK;
b = static_cast<unsigned short>(bb);
a = static_cast<unsigned short>(aa);
}
//
// 2D Wavelet encoding:
//
static void wav2Encode(
unsigned short *in, // io: values are transformed in place
int nx, // i : x size
int ox, // i : x offset
int ny, // i : y size
int oy, // i : y offset
unsigned short mx) // i : maximum in[x][y] value
{
bool w14 = (mx < (1 << 14));
int n = (nx > ny) ? ny : nx;
int p = 1; // == 1 << level
int p2 = 2; // == 1 << (level+1)
//
// Hierachical loop on smaller dimension n
//
while (p2 <= n) {
unsigned short *py = in;
unsigned short *ey = in + oy * (ny - p2);
int oy1 = oy * p;
int oy2 = oy * p2;
int ox1 = ox * p;
int ox2 = ox * p2;
unsigned short i00, i01, i10, i11;
//
// Y loop
//
for (; py <= ey; py += oy2) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
//
// X loop
//
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
unsigned short *p10 = px + oy1;
unsigned short *p11 = p10 + ox1;
//
// 2D wavelet encoding
//
if (w14) {
wenc14(*px, *p01, i00, i01);
wenc14(*p10, *p11, i10, i11);
wenc14(i00, i10, *px, *p10);
wenc14(i01, i11, *p01, *p11);
} else {
wenc16(*px, *p01, i00, i01);
wenc16(*p10, *p11, i10, i11);
wenc16(i00, i10, *px, *p10);
wenc16(i01, i11, *p01, *p11);
}
}
//
// Encode (1D) odd column (still in Y loop)
//
if (nx & p) {
unsigned short *p10 = px + oy1;
if (w14)
wenc14(*px, *p10, i00, *p10);
else
wenc16(*px, *p10, i00, *p10);
*px = i00;
}
}
//
// Encode (1D) odd line (must loop in X)
//
if (ny & p) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
if (w14)
wenc14(*px, *p01, i00, *p01);
else
wenc16(*px, *p01, i00, *p01);
*px = i00;
}
}
//
// Next level
//
p = p2;
p2 <<= 1;
}
}
//
// 2D Wavelet decoding:
//
static void wav2Decode(
unsigned short *in, // io: values are transformed in place
int nx, // i : x size
int ox, // i : x offset
int ny, // i : y size
int oy, // i : y offset
unsigned short mx) // i : maximum in[x][y] value
{
bool w14 = (mx < (1 << 14));
int n = (nx > ny) ? ny : nx;
int p = 1;
int p2;
//
// Search max level
//
while (p <= n) p <<= 1;
p >>= 1;
p2 = p;
p >>= 1;
//
// Hierarchical loop on smaller dimension n
//
while (p >= 1) {
unsigned short *py = in;
unsigned short *ey = in + oy * (ny - p2);
int oy1 = oy * p;
int oy2 = oy * p2;
int ox1 = ox * p;
int ox2 = ox * p2;
unsigned short i00, i01, i10, i11;
//
// Y loop
//
for (; py <= ey; py += oy2) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
//
// X loop
//
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
unsigned short *p10 = px + oy1;
unsigned short *p11 = p10 + ox1;
//
// 2D wavelet decoding
//
if (w14) {
wdec14(*px, *p10, i00, i10);
wdec14(*p01, *p11, i01, i11);
wdec14(i00, i01, *px, *p01);
wdec14(i10, i11, *p10, *p11);
} else {
wdec16(*px, *p10, i00, i10);
wdec16(*p01, *p11, i01, i11);
wdec16(i00, i01, *px, *p01);
wdec16(i10, i11, *p10, *p11);
}
}
//
// Decode (1D) odd column (still in Y loop)
//
if (nx & p) {
unsigned short *p10 = px + oy1;
if (w14)
wdec14(*px, *p10, i00, *p10);
else
wdec16(*px, *p10, i00, *p10);
*px = i00;
}
}
//
// Decode (1D) odd line (must loop in X)
//
if (ny & p) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
if (w14)
wdec14(*px, *p01, i00, *p01);
else
wdec16(*px, *p01, i00, *p01);
*px = i00;
}
}
//
// Next level
//
p2 = p;
p >>= 1;
}
}
//-----------------------------------------------------------------------------
//
// 16-bit Huffman compression and decompression.
//
// The source code in this file is derived from the 8-bit
// Huffman compression and decompression routines written
// by Christian Rouet for his PIZ image file format.
//
//-----------------------------------------------------------------------------
// Adds some modification for tinyexr.
const int HUF_ENCBITS = 16; // literal (value) bit length
const int HUF_DECBITS = 14; // decoding bit size (>= 8)
const int HUF_ENCSIZE = (1 << HUF_ENCBITS) + 1; // encoding table size
const int HUF_DECSIZE = 1 << HUF_DECBITS; // decoding table size
const int HUF_DECMASK = HUF_DECSIZE - 1;
struct HufDec { // short code long code
//-------------------------------
int len : 8; // code length 0
int lit : 24; // lit p size
int *p; // 0 lits
};
inline long long hufLength(long long code) { return code & 63; }
inline long long hufCode(long long code) { return code >> 6; }
inline void outputBits(int nBits, long long bits, long long &c, int &lc,
char *&out) {
c <<= nBits;
lc += nBits;
c |= bits;
while (lc >= 8) *out++ = static_cast<char>((c >> (lc -= 8)));
}
inline long long getBits(int nBits, long long &c, int &lc, const char *&in) {
while (lc < nBits) {
c = (c << 8) | *(reinterpret_cast<const unsigned char *>(in++));
lc += 8;
}
lc -= nBits;
return (c >> lc) & ((1 << nBits) - 1);
}
//
// ENCODING TABLE BUILDING & (UN)PACKING
//
//
// Build a "canonical" Huffman code table:
// - for each (uncompressed) symbol, hcode contains the length
// of the corresponding code (in the compressed data)
// - canonical codes are computed and stored in hcode
// - the rules for constructing canonical codes are as follows:
// * shorter codes (if filled with zeroes to the right)
// have a numerically higher value than longer codes
// * for codes with the same length, numerical values
// increase with numerical symbol values
// - because the canonical code table can be constructed from
// symbol lengths alone, the code table can be transmitted
// without sending the actual code values
// - see http://www.compressconsult.com/huffman/
//
static void hufCanonicalCodeTable(long long hcode[HUF_ENCSIZE]) {
long long n[59];
//
// For each i from 0 through 58, count the
// number of different codes of length i, and
// store the count in n[i].
//
for (int i = 0; i <= 58; ++i) n[i] = 0;
for (int i = 0; i < HUF_ENCSIZE; ++i) n[hcode[i]] += 1;
//
// For each i from 58 through 1, compute the
// numerically lowest code with length i, and
// store that code in n[i].
//
long long c = 0;
for (int i = 58; i > 0; --i) {
long long nc = ((c + n[i]) >> 1);
n[i] = c;
c = nc;
}
//
// hcode[i] contains the length, l, of the
// code for symbol i. Assign the next available
// code of length l to the symbol and store both
// l and the code in hcode[i].
//
for (int i = 0; i < HUF_ENCSIZE; ++i) {
int l = static_cast<int>(hcode[i]);
if (l > 0) hcode[i] = l | (n[l]++ << 6);
}
}
//
// Compute Huffman codes (based on frq input) and store them in frq:
// - code structure is : [63:lsb - 6:msb] | [5-0: bit length];
// - max code length is 58 bits;
// - codes outside the range [im-iM] have a null length (unused values);
// - original frequencies are destroyed;
// - encoding tables are used by hufEncode() and hufBuildDecTable();
//
struct FHeapCompare {
bool operator()(long long *a, long long *b) { return *a > *b; }
};
static void hufBuildEncTable(
long long *frq, // io: input frequencies [HUF_ENCSIZE], output table
int *im, // o: min frq index
int *iM) // o: max frq index
{
//
// This function assumes that when it is called, array frq
// indicates the frequency of all possible symbols in the data
// that are to be Huffman-encoded. (frq[i] contains the number
// of occurrences of symbol i in the data.)
//
// The loop below does three things:
//
// 1) Finds the minimum and maximum indices that point
// to non-zero entries in frq:
//
// frq[im] != 0, and frq[i] == 0 for all i < im
// frq[iM] != 0, and frq[i] == 0 for all i > iM
//
// 2) Fills array fHeap with pointers to all non-zero
// entries in frq.
//
// 3) Initializes array hlink such that hlink[i] == i
// for all array entries.
//
int hlink[HUF_ENCSIZE];
long long *fHeap[HUF_ENCSIZE];
*im = 0;
while (!frq[*im]) (*im)++;
int nf = 0;
for (int i = *im; i < HUF_ENCSIZE; i++) {
hlink[i] = i;
if (frq[i]) {
fHeap[nf] = &frq[i];
nf++;
*iM = i;
}
}
//
// Add a pseudo-symbol, with a frequency count of 1, to frq;
// adjust the fHeap and hlink array accordingly. Function
// hufEncode() uses the pseudo-symbol for run-length encoding.
//
(*iM)++;
frq[*iM] = 1;
fHeap[nf] = &frq[*iM];
nf++;
//
// Build an array, scode, such that scode[i] contains the number
// of bits assigned to symbol i. Conceptually this is done by
// constructing a tree whose leaves are the symbols with non-zero
// frequency:
//
// Make a heap that contains all symbols with a non-zero frequency,
// with the least frequent symbol on top.
//
// Repeat until only one symbol is left on the heap:
//
// Take the two least frequent symbols off the top of the heap.
// Create a new node that has first two nodes as children, and
// whose frequency is the sum of the frequencies of the first
// two nodes. Put the new node back into the heap.
//
// The last node left on the heap is the root of the tree. For each
// leaf node, the distance between the root and the leaf is the length
// of the code for the corresponding symbol.
//
// The loop below doesn't actually build the tree; instead we compute
// the distances of the leaves from the root on the fly. When a new
// node is added to the heap, then that node's descendants are linked
// into a single linear list that starts at the new node, and the code
// lengths of the descendants (that is, their distance from the root
// of the tree) are incremented by one.
//
std::make_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
long long scode[HUF_ENCSIZE];
memset(scode, 0, sizeof(long long) * HUF_ENCSIZE);
while (nf > 1) {
//
// Find the indices, mm and m, of the two smallest non-zero frq
// values in fHeap, add the smallest frq to the second-smallest
// frq, and remove the smallest frq value from fHeap.
//
int mm = fHeap[0] - frq;
std::pop_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
--nf;
int m = fHeap[0] - frq;
std::pop_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
frq[m] += frq[mm];
std::push_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
//
// The entries in scode are linked into lists with the
// entries in hlink serving as "next" pointers and with
// the end of a list marked by hlink[j] == j.
//
// Traverse the lists that start at scode[m] and scode[mm].
// For each element visited, increment the length of the
// corresponding code by one bit. (If we visit scode[j]
// during the traversal, then the code for symbol j becomes
// one bit longer.)
//
// Merge the lists that start at scode[m] and scode[mm]
// into a single list that starts at scode[m].
//
//
// Add a bit to all codes in the first list.
//
for (int j = m;; j = hlink[j]) {
scode[j]++;
assert(scode[j] <= 58);
if (hlink[j] == j) {
//
// Merge the two lists.
//
hlink[j] = mm;
break;
}
}
//
// Add a bit to all codes in the second list
//
for (int j = mm;; j = hlink[j]) {
scode[j]++;
assert(scode[j] <= 58);
if (hlink[j] == j) break;
}
}
//
// Build a canonical Huffman code table, replacing the code
// lengths in scode with (code, code length) pairs. Copy the
// code table from scode into frq.
//
hufCanonicalCodeTable(scode);
memcpy(frq, scode, sizeof(long long) * HUF_ENCSIZE);
}
//
// Pack an encoding table:
// - only code lengths, not actual codes, are stored
// - runs of zeroes are compressed as follows:
//
// unpacked packed
// --------------------------------
// 1 zero 0 (6 bits)
// 2 zeroes 59
// 3 zeroes 60
// 4 zeroes 61
// 5 zeroes 62
// n zeroes (6 or more) 63 n-6 (6 + 8 bits)
//
const int SHORT_ZEROCODE_RUN = 59;
const int LONG_ZEROCODE_RUN = 63;
const int SHORTEST_LONG_RUN = 2 + LONG_ZEROCODE_RUN - SHORT_ZEROCODE_RUN;
const int LONGEST_LONG_RUN = 255 + SHORTEST_LONG_RUN;
static void hufPackEncTable(
const long long *hcode, // i : encoding table [HUF_ENCSIZE]
int im, // i : min hcode index
int iM, // i : max hcode index
char **pcode) // o: ptr to packed table (updated)
{
char *p = *pcode;
long long c = 0;
int lc = 0;
for (; im <= iM; im++) {
int l = hufLength(hcode[im]);
if (l == 0) {
int zerun = 1;
while ((im < iM) && (zerun < LONGEST_LONG_RUN)) {
if (hufLength(hcode[im + 1]) > 0) break;
im++;
zerun++;
}
if (zerun >= 2) {
if (zerun >= SHORTEST_LONG_RUN) {
outputBits(6, LONG_ZEROCODE_RUN, c, lc, p);
outputBits(8, zerun - SHORTEST_LONG_RUN, c, lc, p);
} else {
outputBits(6, SHORT_ZEROCODE_RUN + zerun - 2, c, lc, p);
}
continue;
}
}
outputBits(6, l, c, lc, p);
}
if (lc > 0) *p++ = (unsigned char)(c << (8 - lc));
*pcode = p;
}
//
// Unpack an encoding table packed by hufPackEncTable():
//
static bool hufUnpackEncTable(
const char **pcode, // io: ptr to packed table (updated)
int ni, // i : input size (in bytes)
int im, // i : min hcode index
int iM, // i : max hcode index
long long *hcode) // o: encoding table [HUF_ENCSIZE]
{
memset(hcode, 0, sizeof(long long) * HUF_ENCSIZE);
const char *p = *pcode;
long long c = 0;
int lc = 0;
for (; im <= iM; im++) {
if (p - *pcode > ni) {
return false;
}
long long l = hcode[im] = getBits(6, c, lc, p); // code length
if (l == (long long)LONG_ZEROCODE_RUN) {
if (p - *pcode > ni) {
return false;
}
int zerun = getBits(8, c, lc, p) + SHORTEST_LONG_RUN;
if (im + zerun > iM + 1) {
return false;
}
while (zerun--) hcode[im++] = 0;
im--;
} else if (l >= (long long)SHORT_ZEROCODE_RUN) {
int zerun = l - SHORT_ZEROCODE_RUN + 2;
if (im + zerun > iM + 1) {
return false;
}
while (zerun--) hcode[im++] = 0;
im--;
}
}
*pcode = const_cast<char *>(p);
hufCanonicalCodeTable(hcode);
return true;
}
//
// DECODING TABLE BUILDING
//
//
// Clear a newly allocated decoding table so that it contains only zeroes.
//
static void hufClearDecTable(HufDec *hdecod) // io: (allocated by caller)
// decoding table [HUF_DECSIZE]
{
for (int i = 0; i < HUF_DECSIZE; i++) {
hdecod[i].len = 0;
hdecod[i].lit = 0;
hdecod[i].p = NULL;
}
// memset(hdecod, 0, sizeof(HufDec) * HUF_DECSIZE);
}
//
// Build a decoding hash table based on the encoding table hcode:
// - short codes (<= HUF_DECBITS) are resolved with a single table access;
// - long code entry allocations are not optimized, because long codes are
// unfrequent;
// - decoding tables are used by hufDecode();
//
static bool hufBuildDecTable(const long long *hcode, // i : encoding table
int im, // i : min index in hcode
int iM, // i : max index in hcode
HufDec *hdecod) // o: (allocated by caller)
// decoding table [HUF_DECSIZE]
{
//
// Init hashtable & loop on all codes.
// Assumes that hufClearDecTable(hdecod) has already been called.
//
for (; im <= iM; im++) {
long long c = hufCode(hcode[im]);
int l = hufLength(hcode[im]);
if (c >> l) {
//
// Error: c is supposed to be an l-bit code,
// but c contains a value that is greater
// than the largest l-bit number.
//
// invalidTableEntry();
return false;
}
if (l > HUF_DECBITS) {
//
// Long code: add a secondary entry
//
HufDec *pl = hdecod + (c >> (l - HUF_DECBITS));
if (pl->len) {
//
// Error: a short code has already
// been stored in table entry *pl.
//
// invalidTableEntry();
return false;
}
pl->lit++;
if (pl->p) {
int *p = pl->p;
pl->p = new int[pl->lit];
for (int i = 0; i < pl->lit - 1; ++i) pl->p[i] = p[i];
delete[] p;
} else {
pl->p = new int[1];
}
pl->p[pl->lit - 1] = im;
} else if (l) {
//
// Short code: init all primary entries
//
HufDec *pl = hdecod + (c << (HUF_DECBITS - l));
for (long long i = 1ULL << (HUF_DECBITS - l); i > 0; i--, pl++) {
if (pl->len || pl->p) {
//
// Error: a short code or a long code has
// already been stored in table entry *pl.
//
// invalidTableEntry();
return false;
}
pl->len = l;
pl->lit = im;
}
}
}
return true;
}
//
// Free the long code entries of a decoding table built by hufBuildDecTable()
//
static void hufFreeDecTable(HufDec *hdecod) // io: Decoding table
{
for (int i = 0; i < HUF_DECSIZE; i++) {
if (hdecod[i].p) {
delete[] hdecod[i].p;
hdecod[i].p = 0;
}
}
}
//
// ENCODING
//
inline void outputCode(long long code, long long &c, int &lc, char *&out) {
outputBits(hufLength(code), hufCode(code), c, lc, out);
}
inline void sendCode(long long sCode, int runCount, long long runCode,
long long &c, int &lc, char *&out) {
//
// Output a run of runCount instances of the symbol sCount.
// Output the symbols explicitly, or if that is shorter, output
// the sCode symbol once followed by a runCode symbol and runCount
// expressed as an 8-bit number.
//
if (hufLength(sCode) + hufLength(runCode) + 8 < hufLength(sCode) * runCount) {
outputCode(sCode, c, lc, out);
outputCode(runCode, c, lc, out);
outputBits(8, runCount, c, lc, out);
} else {
while (runCount-- >= 0) outputCode(sCode, c, lc, out);
}
}
//
// Encode (compress) ni values based on the Huffman encoding table hcode:
//
static int hufEncode // return: output size (in bits)
(const long long *hcode, // i : encoding table
const unsigned short *in, // i : uncompressed input buffer
const int ni, // i : input buffer size (in bytes)
int rlc, // i : rl code
char *out) // o: compressed output buffer
{
char *outStart = out;
long long c = 0; // bits not yet written to out
int lc = 0; // number of valid bits in c (LSB)
int s = in[0];
int cs = 0;
//
// Loop on input values
//
for (int i = 1; i < ni; i++) {
//
// Count same values or send code
//
if (s == in[i] && cs < 255) {
cs++;
} else {
sendCode(hcode[s], cs, hcode[rlc], c, lc, out);
cs = 0;
}
s = in[i];
}
//
// Send remaining code
//
sendCode(hcode[s], cs, hcode[rlc], c, lc, out);
if (lc) *out = (c << (8 - lc)) & 0xff;
return (out - outStart) * 8 + lc;
}
//
// DECODING
//
//
// In order to force the compiler to inline them,
// getChar() and getCode() are implemented as macros
// instead of "inline" functions.
//
#define getChar(c, lc, in) \
{ \
c = (c << 8) | *(unsigned char *)(in++); \
lc += 8; \
}
#define getCode(po, rlc, c, lc, in, out, oe) \
{ \
if (po == rlc) { \
if (lc < 8) getChar(c, lc, in); \
\
lc -= 8; \
\
unsigned char cs = (c >> lc); \
\
if (out + cs > oe) return false; \
\
unsigned short s = out[-1]; \
\
while (cs-- > 0) *out++ = s; \
} else if (out < oe) { \
*out++ = po; \
} else { \
return false; \
} \
}
//
// Decode (uncompress) ni bits based on encoding & decoding tables:
//
static bool hufDecode(const long long *hcode, // i : encoding table
const HufDec *hdecod, // i : decoding table
const char *in, // i : compressed input buffer
int ni, // i : input size (in bits)
int rlc, // i : run-length code
int no, // i : expected output size (in bytes)
unsigned short *out) // o: uncompressed output buffer
{
long long c = 0;
int lc = 0;
unsigned short *outb = out;
unsigned short *oe = out + no;
const char *ie = in + (ni + 7) / 8; // input byte size
//
// Loop on input bytes
//
while (in < ie) {
getChar(c, lc, in);
//
// Access decoding table
//
while (lc >= HUF_DECBITS) {
const HufDec pl = hdecod[(c >> (lc - HUF_DECBITS)) & HUF_DECMASK];
if (pl.len) {
//
// Get short code
//
lc -= pl.len;
getCode(pl.lit, rlc, c, lc, in, out, oe);
} else {
if (!pl.p) {
return false;
}
// invalidCode(); // wrong code
//
// Search long code
//
int j;
for (j = 0; j < pl.lit; j++) {
int l = hufLength(hcode[pl.p[j]]);
while (lc < l && in < ie) // get more bits
getChar(c, lc, in);
if (lc >= l) {
if (hufCode(hcode[pl.p[j]]) ==
((c >> (lc - l)) & (((long long)(1) << l) - 1))) {
//
// Found : get long code
//
lc -= l;
getCode(pl.p[j], rlc, c, lc, in, out, oe);
break;
}
}
}
if (j == pl.lit) {
return false;
// invalidCode(); // Not found
}
}
}
}
//
// Get remaining (short) codes
//
int i = (8 - ni) & 7;
c >>= i;
lc -= i;
while (lc > 0) {
const HufDec pl = hdecod[(c << (HUF_DECBITS - lc)) & HUF_DECMASK];
if (pl.len) {
lc -= pl.len;
getCode(pl.lit, rlc, c, lc, in, out, oe);
} else {
return false;
// invalidCode(); // wrong (long) code
}
}
if (out - outb != no) {
return false;
}
// notEnoughData ();
return true;
}
static void countFrequencies(long long freq[HUF_ENCSIZE],
const unsigned short data[/*n*/], int n) {
for (int i = 0; i < HUF_ENCSIZE; ++i) freq[i] = 0;
for (int i = 0; i < n; ++i) ++freq[data[i]];
}
static void writeUInt(char buf[4], unsigned int i) {
unsigned char *b = (unsigned char *)buf;
b[0] = i;
b[1] = i >> 8;
b[2] = i >> 16;
b[3] = i >> 24;
}
static unsigned int readUInt(const char buf[4]) {
const unsigned char *b = (const unsigned char *)buf;
return (b[0] & 0x000000ff) | ((b[1] << 8) & 0x0000ff00) |
((b[2] << 16) & 0x00ff0000) | ((b[3] << 24) & 0xff000000);
}
//
// EXTERNAL INTERFACE
//
static int hufCompress(const unsigned short raw[], int nRaw,
char compressed[]) {
if (nRaw == 0) return 0;
long long freq[HUF_ENCSIZE];
countFrequencies(freq, raw, nRaw);
int im = 0;
int iM = 0;
hufBuildEncTable(freq, &im, &iM);
char *tableStart = compressed + 20;
char *tableEnd = tableStart;
hufPackEncTable(freq, im, iM, &tableEnd);
int tableLength = tableEnd - tableStart;
char *dataStart = tableEnd;
int nBits = hufEncode(freq, raw, nRaw, iM, dataStart);
int data_length = (nBits + 7) / 8;
writeUInt(compressed, im);
writeUInt(compressed + 4, iM);
writeUInt(compressed + 8, tableLength);
writeUInt(compressed + 12, nBits);
writeUInt(compressed + 16, 0); // room for future extensions
return dataStart + data_length - compressed;
}
static bool hufUncompress(const char compressed[], int nCompressed,
unsigned short raw[], int nRaw) {
if (nCompressed == 0) {
if (nRaw != 0) return false;
return false;
}
int im = readUInt(compressed);
int iM = readUInt(compressed + 4);
// int tableLength = readUInt (compressed + 8);
int nBits = readUInt(compressed + 12);
if (im < 0 || im >= HUF_ENCSIZE || iM < 0 || iM >= HUF_ENCSIZE) return false;
const char *ptr = compressed + 20;
//
// Fast decoder needs at least 2x64-bits of compressed data, and
// needs to be run-able on this platform. Otherwise, fall back
// to the original decoder
//
// if (FastHufDecoder::enabled() && nBits > 128)
//{
// FastHufDecoder fhd (ptr, nCompressed - (ptr - compressed), im, iM, iM);
// fhd.decode ((unsigned char*)ptr, nBits, raw, nRaw);
//}
// else
{
std::vector<long long> freq(HUF_ENCSIZE);
std::vector<HufDec> hdec(HUF_DECSIZE);
hufClearDecTable(&hdec.at(0));
hufUnpackEncTable(&ptr, nCompressed - (ptr - compressed), im, iM,
&freq.at(0));
{
if (nBits > 8 * (nCompressed - (ptr - compressed))) {
return false;
}
hufBuildDecTable(&freq.at(0), im, iM, &hdec.at(0));
hufDecode(&freq.at(0), &hdec.at(0), ptr, nBits, iM, nRaw, raw);
}
// catch (...)
//{
// hufFreeDecTable (hdec);
// throw;
//}
hufFreeDecTable(&hdec.at(0));
}
return true;
}
//
// Functions to compress the range of values in the pixel data
//
const int USHORT_RANGE = (1 << 16);
const int BITMAP_SIZE = (USHORT_RANGE >> 3);
static void bitmapFromData(const unsigned short data[/*nData*/], int nData,
unsigned char bitmap[BITMAP_SIZE],
unsigned short &minNonZero,
unsigned short &maxNonZero) {
for (int i = 0; i < BITMAP_SIZE; ++i) bitmap[i] = 0;
for (int i = 0; i < nData; ++i) bitmap[data[i] >> 3] |= (1 << (data[i] & 7));
bitmap[0] &= ~1; // zero is not explicitly stored in
// the bitmap; we assume that the
// data always contain zeroes
minNonZero = BITMAP_SIZE - 1;
maxNonZero = 0;
for (int i = 0; i < BITMAP_SIZE; ++i) {
if (bitmap[i]) {
if (minNonZero > i) minNonZero = i;
if (maxNonZero < i) maxNonZero = i;
}
}
}
static unsigned short forwardLutFromBitmap(
const unsigned char bitmap[BITMAP_SIZE], unsigned short lut[USHORT_RANGE]) {
int k = 0;
for (int i = 0; i < USHORT_RANGE; ++i) {
if ((i == 0) || (bitmap[i >> 3] & (1 << (i & 7))))
lut[i] = k++;
else
lut[i] = 0;
}
return k - 1; // maximum value stored in lut[],
} // i.e. number of ones in bitmap minus 1
static unsigned short reverseLutFromBitmap(
const unsigned char bitmap[BITMAP_SIZE], unsigned short lut[USHORT_RANGE]) {
int k = 0;
for (int i = 0; i < USHORT_RANGE; ++i) {
if ((i == 0) || (bitmap[i >> 3] & (1 << (i & 7)))) lut[k++] = i;
}
int n = k - 1;
while (k < USHORT_RANGE) lut[k++] = 0;
return n; // maximum k where lut[k] is non-zero,
} // i.e. number of ones in bitmap minus 1
static void applyLut(const unsigned short lut[USHORT_RANGE],
unsigned short data[/*nData*/], int nData) {
for (int i = 0; i < nData; ++i) data[i] = lut[data[i]];
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif // __clang__
static bool CompressPiz(unsigned char *outPtr, unsigned int &outSize,
const unsigned char *inPtr, size_t inSize,
const std::vector<ChannelInfo> &channelInfo,
int data_width, int num_lines) {
unsigned char bitmap[BITMAP_SIZE];
unsigned short minNonZero;
unsigned short maxNonZero;
#if !MINIZ_LITTLE_ENDIAN
// @todo { PIZ compression on BigEndian architecture. }
assert(0);
return false;
#endif
// Assume `inSize` is multiple of 2 or 4.
std::vector<unsigned short> tmpBuffer(inSize / sizeof(unsigned short));
std::vector<PIZChannelData> channelData(channelInfo.size());
unsigned short *tmpBufferEnd = &tmpBuffer.at(0);
for (size_t c = 0; c < channelData.size(); c++) {
PIZChannelData &cd = channelData[c];
cd.start = tmpBufferEnd;
cd.end = cd.start;
cd.nx = data_width;
cd.ny = num_lines;
// cd.ys = c.channel().ySampling;
size_t pixelSize = sizeof(int); // UINT and FLOAT
if (channelInfo[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
pixelSize = sizeof(short);
}
cd.size = static_cast<int>(pixelSize / sizeof(short));
tmpBufferEnd += cd.nx * cd.ny * cd.size;
}
const unsigned char *ptr = inPtr;
for (int y = 0; y < num_lines; ++y) {
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
// if (modp (y, cd.ys) != 0)
// continue;
size_t n = static_cast<size_t>(cd.nx * cd.size);
memcpy(cd.end, ptr, n * sizeof(unsigned short));
ptr += n * sizeof(unsigned short);
cd.end += n;
}
}
bitmapFromData(&tmpBuffer.at(0), static_cast<int>(tmpBuffer.size()), bitmap,
minNonZero, maxNonZero);
unsigned short lut[USHORT_RANGE];
unsigned short maxValue = forwardLutFromBitmap(bitmap, lut);
applyLut(lut, &tmpBuffer.at(0), static_cast<int>(tmpBuffer.size()));
//
// Store range compression info in _outBuffer
//
char *buf = reinterpret_cast<char *>(outPtr);
memcpy(buf, &minNonZero, sizeof(unsigned short));
buf += sizeof(unsigned short);
memcpy(buf, &maxNonZero, sizeof(unsigned short));
buf += sizeof(unsigned short);
if (minNonZero <= maxNonZero) {
memcpy(buf, reinterpret_cast<char *>(&bitmap[0] + minNonZero),
maxNonZero - minNonZero + 1);
buf += maxNonZero - minNonZero + 1;
}
//
// Apply wavelet encoding
//
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
for (int j = 0; j < cd.size; ++j) {
wav2Encode(cd.start + j, cd.nx, cd.size, cd.ny, cd.nx * cd.size,
maxValue);
}
}
//
// Apply Huffman encoding; append the result to _outBuffer
//
// length header(4byte), then huff data. Initialize length header with zero,
// then later fill it by `length`.
char *lengthPtr = buf;
int zero = 0;
memcpy(buf, &zero, sizeof(int));
buf += sizeof(int);
int length =
hufCompress(&tmpBuffer.at(0), static_cast<int>(tmpBuffer.size()), buf);
memcpy(lengthPtr, &length, sizeof(int));
outSize = static_cast<unsigned int>(
(reinterpret_cast<unsigned char *>(buf) - outPtr) +
static_cast<unsigned int>(length));
return true;
}
static bool DecompressPiz(unsigned char *outPtr, const unsigned char *inPtr,
size_t tmpBufSize, int num_channels,
const EXRChannelInfo *channels, int data_width,
int num_lines) {
unsigned char bitmap[BITMAP_SIZE];
unsigned short minNonZero;
unsigned short maxNonZero;
#if !MINIZ_LITTLE_ENDIAN
// @todo { PIZ compression on BigEndian architecture. }
assert(0);
return false;
#endif
memset(bitmap, 0, BITMAP_SIZE);
const unsigned char *ptr = inPtr;
minNonZero = *(reinterpret_cast<const unsigned short *>(ptr));
maxNonZero = *(reinterpret_cast<const unsigned short *>(ptr + 2));
ptr += 4;
if (maxNonZero >= BITMAP_SIZE) {
return false;
}
if (minNonZero <= maxNonZero) {
memcpy(reinterpret_cast<char *>(&bitmap[0] + minNonZero), ptr,
maxNonZero - minNonZero + 1);
ptr += maxNonZero - minNonZero + 1;
}
unsigned short lut[USHORT_RANGE];
memset(lut, 0, sizeof(unsigned short) * USHORT_RANGE);
unsigned short maxValue = reverseLutFromBitmap(bitmap, lut);
//
// Huffman decoding
//
int length;
length = *(reinterpret_cast<const int *>(ptr));
ptr += sizeof(int);
std::vector<unsigned short> tmpBuffer(tmpBufSize);
hufUncompress(reinterpret_cast<const char *>(ptr), length, &tmpBuffer.at(0),
static_cast<int>(tmpBufSize));
//
// Wavelet decoding
//
std::vector<PIZChannelData> channelData(static_cast<size_t>(num_channels));
unsigned short *tmpBufferEnd = &tmpBuffer.at(0);
for (size_t i = 0; i < static_cast<size_t>(num_channels); ++i) {
const EXRChannelInfo &chan = channels[i];
size_t pixelSize = sizeof(int); // UINT and FLOAT
if (chan.pixel_type == TINYEXR_PIXELTYPE_HALF) {
pixelSize = sizeof(short);
}
channelData[i].start = tmpBufferEnd;
channelData[i].end = channelData[i].start;
channelData[i].nx = data_width;
channelData[i].ny = num_lines;
// channelData[i].ys = 1;
channelData[i].size = static_cast<int>(pixelSize / sizeof(short));
tmpBufferEnd += channelData[i].nx * channelData[i].ny * channelData[i].size;
}
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
for (int j = 0; j < cd.size; ++j) {
wav2Decode(cd.start + j, cd.nx, cd.size, cd.ny, cd.nx * cd.size,
maxValue);
}
}
//
// Expand the pixel data to their original range
//
applyLut(lut, &tmpBuffer.at(0), static_cast<int>(tmpBufSize));
for (int y = 0; y < num_lines; y++) {
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
// if (modp (y, cd.ys) != 0)
// continue;
size_t n = static_cast<size_t>(cd.nx * cd.size);
memcpy(outPtr, cd.end, static_cast<size_t>(n * sizeof(unsigned short)));
outPtr += n * sizeof(unsigned short);
cd.end += n;
}
}
return true;
}
#endif // TINYEXR_USE_PIZ
#if TINYEXR_USE_ZFP
struct ZFPCompressionParam {
double rate;
int precision;
double tolerance;
int type; // TINYEXR_ZFP_COMPRESSIONTYPE_*
ZFPCompressionParam() {
type = TINYEXR_ZFP_COMPRESSIONTYPE_RATE;
rate = 2.0;
precision = 0;
tolerance = 0.0f;
}
};
bool FindZFPCompressionParam(ZFPCompressionParam *param,
const EXRAttribute *attributes,
int num_attributes) {
bool foundType = false;
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionType") == 0) &&
(attributes[i].size == 1)) {
param->type = static_cast<int>(attributes[i].value[0]);
foundType = true;
}
}
if (!foundType) {
return false;
}
if (param->type == TINYEXR_ZFP_COMPRESSIONTYPE_RATE) {
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionRate") == 0) &&
(attributes[i].size == 8)) {
param->rate = *(reinterpret_cast<double *>(attributes[i].value));
return true;
}
}
} else if (param->type == TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION) {
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionPrecision") == 0) &&
(attributes[i].size == 4)) {
param->rate = *(reinterpret_cast<int *>(attributes[i].value));
return true;
}
}
} else if (param->type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionTolerance") == 0) &&
(attributes[i].size == 8)) {
param->tolerance = *(reinterpret_cast<double *>(attributes[i].value));
return true;
}
}
} else {
assert(0);
}
return false;
}
// Assume pixel format is FLOAT for all channels.
static bool DecompressZfp(float *dst, int dst_width, int dst_num_lines,
int num_channels, const unsigned char *src,
unsigned long src_size,
const ZFPCompressionParam ¶m) {
size_t uncompressed_size = dst_width * dst_num_lines * num_channels;
zfp_stream *zfp = NULL;
zfp_field *field = NULL;
assert((dst_width % 4) == 0);
assert((dst_num_lines % 4) == 0);
if ((dst_width & 3U) || (dst_num_lines & 3U)) {
return false;
}
field =
zfp_field_2d(reinterpret_cast<void *>(const_cast<unsigned char *>(src)),
zfp_type_float, dst_width, dst_num_lines * num_channels);
zfp = zfp_stream_open(NULL);
if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_RATE) {
zfp_stream_set_rate(zfp, param.rate, zfp_type_float, /* dimention */ 2,
/* write random access */ 0);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION) {
zfp_stream_set_precision(zfp, param.precision, zfp_type_float);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
zfp_stream_set_accuracy(zfp, param.tolerance, zfp_type_float);
} else {
assert(0);
}
size_t buf_size = zfp_stream_maximum_size(zfp, field);
std::vector<unsigned char> buf(buf_size);
memcpy(&buf.at(0), src, src_size);
bitstream *stream = stream_open(&buf.at(0), buf_size);
zfp_stream_set_bit_stream(zfp, stream);
zfp_stream_rewind(zfp);
size_t image_size = dst_width * dst_num_lines;
for (int c = 0; c < num_channels; c++) {
// decompress 4x4 pixel block.
for (int y = 0; y < dst_num_lines; y += 4) {
for (int x = 0; x < dst_width; x += 4) {
float fblock[16];
zfp_decode_block_float_2(zfp, fblock);
for (int j = 0; j < 4; j++) {
for (int i = 0; i < 4; i++) {
dst[c * image_size + ((y + j) * dst_width + (x + i))] =
fblock[j * 4 + i];
}
}
}
}
}
zfp_field_free(field);
zfp_stream_close(zfp);
stream_close(stream);
return true;
}
// Assume pixel format is FLOAT for all channels.
bool CompressZfp(std::vector<unsigned char> *outBuf, unsigned int *outSize,
const float *inPtr, int width, int num_lines, int num_channels,
const ZFPCompressionParam ¶m) {
zfp_stream *zfp = NULL;
zfp_field *field = NULL;
assert((width % 4) == 0);
assert((num_lines % 4) == 0);
if ((width & 3U) || (num_lines & 3U)) {
return false;
}
// create input array.
field = zfp_field_2d(reinterpret_cast<void *>(const_cast<float *>(inPtr)),
zfp_type_float, width, num_lines * num_channels);
zfp = zfp_stream_open(NULL);
if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_RATE) {
zfp_stream_set_rate(zfp, param.rate, zfp_type_float, 2, 0);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION) {
zfp_stream_set_precision(zfp, param.precision, zfp_type_float);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
zfp_stream_set_accuracy(zfp, param.tolerance, zfp_type_float);
} else {
assert(0);
}
size_t buf_size = zfp_stream_maximum_size(zfp, field);
outBuf->resize(buf_size);
bitstream *stream = stream_open(&outBuf->at(0), buf_size);
zfp_stream_set_bit_stream(zfp, stream);
zfp_field_free(field);
size_t image_size = width * num_lines;
for (int c = 0; c < num_channels; c++) {
// compress 4x4 pixel block.
for (int y = 0; y < num_lines; y += 4) {
for (int x = 0; x < width; x += 4) {
float fblock[16];
for (int j = 0; j < 4; j++) {
for (int i = 0; i < 4; i++) {
fblock[j * 4 + i] =
inPtr[c * image_size + ((y + j) * width + (x + i))];
}
}
zfp_encode_block_float_2(zfp, fblock);
}
}
}
zfp_stream_flush(zfp);
(*outSize) = zfp_stream_compressed_size(zfp);
zfp_stream_close(zfp);
return true;
}
#endif
//
// -----------------------------------------------------------------
//
static void DecodePixelData(/* out */ unsigned char **out_images,
const int *requested_pixel_types,
const unsigned char *data_ptr, size_t data_len,
int compression_type, int line_order, int width,
int height, int x_stride, int y, int line_no,
int num_lines, size_t pixel_data_size,
size_t num_attributes,
const EXRAttribute *attributes, size_t num_channels,
const EXRChannelInfo *channels,
const std::vector<size_t> &channel_offset_list) {
if (compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) { // PIZ
#if TINYEXR_USE_PIZ
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(
static_cast<size_t>(width * num_lines) * pixel_data_size));
size_t tmpBufLen = static_cast<size_t>(
static_cast<size_t>(width * num_lines) * pixel_data_size);
bool ret = tinyexr::DecompressPiz(
reinterpret_cast<unsigned char *>(&outBuf.at(0)), data_ptr, tmpBufLen,
static_cast<int>(num_channels), channels, width, num_lines);
assert(ret);
(void)ret;
// For PIZ_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(&outBuf.at(
v * pixel_data_size * static_cast<size_t>(x_stride) +
channel_offset_list[c] * static_cast<size_t>(x_stride)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
#else
assert(0 && "PIZ is enabled in this build");
#endif
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS ||
compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = static_cast<unsigned long>(outBuf.size());
assert(dstLen > 0);
tinyexr::DecompressZip(reinterpret_cast<unsigned char *>(&outBuf.at(0)),
&dstLen, data_ptr,
static_cast<unsigned long>(data_len));
// For ZIP_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * static_cast<size_t>(pixel_data_size) *
static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
tinyexr::FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_RLE) {
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = static_cast<unsigned long>(outBuf.size());
assert(dstLen > 0);
tinyexr::DecompressRle(reinterpret_cast<unsigned char *>(&outBuf.at(0)),
dstLen, data_ptr,
static_cast<unsigned long>(data_len));
// For RLE_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * static_cast<size_t>(pixel_data_size) *
static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
tinyexr::FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
tinyexr::ZFPCompressionParam zfp_compression_param;
if (!FindZFPCompressionParam(&zfp_compression_param, attributes,
num_attributes)) {
assert(0);
return;
}
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = outBuf.size();
assert(dstLen > 0);
tinyexr::DecompressZfp(reinterpret_cast<float *>(&outBuf.at(0)), width,
num_lines, num_channels, data_ptr,
static_cast<unsigned long>(data_len),
zfp_compression_param);
// For ZFP_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
assert(channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
#else
(void)attributes;
(void)num_attributes;
(void)num_channels;
assert(0);
#endif
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_NONE) {
for (size_t c = 0; c < num_channels; c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
const unsigned short *line_ptr =
reinterpret_cast<const unsigned short *>(
data_ptr +
c * static_cast<size_t>(width) * sizeof(unsigned short));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *outLine =
reinterpret_cast<unsigned short *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
outLine[u] = hf.u;
}
} else if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
float *outLine = reinterpret_cast<float *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
tinyexr::FP32 f32 = half_to_float(hf);
outLine[u] = f32.f;
}
} else {
assert(0);
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
const float *line_ptr = reinterpret_cast<const float *>(
data_ptr + c * static_cast<size_t>(width) * sizeof(float));
float *outLine = reinterpret_cast<float *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
outLine[u] = val;
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
const unsigned int *line_ptr = reinterpret_cast<const unsigned int *>(
data_ptr + c * static_cast<size_t>(width) * sizeof(unsigned int));
unsigned int *outLine = reinterpret_cast<unsigned int *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
outLine[u] = val;
}
}
}
}
}
static void DecodeTiledPixelData(
unsigned char **out_images, int *width, int *height,
const int *requested_pixel_types, const unsigned char *data_ptr,
size_t data_len, int compression_type, int line_order, int data_width,
int data_height, int tile_offset_x, int tile_offset_y, int tile_size_x,
int tile_size_y, size_t pixel_data_size, size_t num_attributes,
const EXRAttribute *attributes, size_t num_channels,
const EXRChannelInfo *channels,
const std::vector<size_t> &channel_offset_list) {
assert(tile_offset_x * tile_size_x < data_width);
assert(tile_offset_y * tile_size_y < data_height);
// Compute actual image size in a tile.
if ((tile_offset_x + 1) * tile_size_x >= data_width) {
(*width) = data_width - (tile_offset_x * tile_size_x);
} else {
(*width) = tile_size_x;
}
if ((tile_offset_y + 1) * tile_size_y >= data_height) {
(*height) = data_height - (tile_offset_y * tile_size_y);
} else {
(*height) = tile_size_y;
}
// Image size = tile size.
DecodePixelData(out_images, requested_pixel_types, data_ptr, data_len,
compression_type, line_order, (*width), tile_size_y,
/* stride */ tile_size_x, /* y */ 0, /* line_no */ 0,
(*height), pixel_data_size, num_attributes, attributes,
num_channels, channels, channel_offset_list);
}
static void ComputeChannelLayout(std::vector<size_t> *channel_offset_list,
int *pixel_data_size, size_t *channel_offset,
int num_channels,
const EXRChannelInfo *channels) {
channel_offset_list->resize(static_cast<size_t>(num_channels));
(*pixel_data_size) = 0;
(*channel_offset) = 0;
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
(*channel_offset_list)[c] = (*channel_offset);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
(*pixel_data_size) += sizeof(unsigned short);
(*channel_offset) += sizeof(unsigned short);
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
(*pixel_data_size) += sizeof(float);
(*channel_offset) += sizeof(float);
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
(*pixel_data_size) += sizeof(unsigned int);
(*channel_offset) += sizeof(unsigned int);
} else {
assert(0);
}
}
}
static unsigned char **AllocateImage(int num_channels,
const EXRChannelInfo *channels,
const int *requested_pixel_types,
int data_width, int data_height) {
unsigned char **images =
reinterpret_cast<unsigned char **>(static_cast<float **>(
malloc(sizeof(float *) * static_cast<size_t>(num_channels))));
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
size_t data_len =
static_cast<size_t>(data_width) * static_cast<size_t>(data_height);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
// pixel_data_size += sizeof(unsigned short);
// channel_offset += sizeof(unsigned short);
// Alloc internal image for half type.
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
images[c] =
reinterpret_cast<unsigned char *>(static_cast<unsigned short *>(
malloc(sizeof(unsigned short) * data_len)));
} else if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
images[c] = reinterpret_cast<unsigned char *>(
static_cast<float *>(malloc(sizeof(float) * data_len)));
} else {
assert(0);
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
// pixel_data_size += sizeof(float);
// channel_offset += sizeof(float);
images[c] = reinterpret_cast<unsigned char *>(
static_cast<float *>(malloc(sizeof(float) * data_len)));
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
// pixel_data_size += sizeof(unsigned int);
// channel_offset += sizeof(unsigned int);
images[c] = reinterpret_cast<unsigned char *>(
static_cast<unsigned int *>(malloc(sizeof(unsigned int) * data_len)));
} else {
assert(0);
}
}
return images;
}
static int ParseEXRHeader(HeaderInfo *info, bool *empty_header,
const EXRVersion *version, std::string *err,
const unsigned char *buf, size_t size) {
const char *marker = reinterpret_cast<const char *>(&buf[0]);
if (empty_header) {
(*empty_header) = false;
}
if (version->multipart) {
if (size > 0 && marker[0] == '\0') {
// End of header list.
if (empty_header) {
(*empty_header) = true;
}
return TINYEXR_SUCCESS;
}
}
// According to the spec, the header of every OpenEXR file must contain at
// least the following attributes:
//
// channels chlist
// compression compression
// dataWindow box2i
// displayWindow box2i
// lineOrder lineOrder
// pixelAspectRatio float
// screenWindowCenter v2f
// screenWindowWidth float
bool has_channels = false;
bool has_compression = false;
bool has_data_window = false;
bool has_display_window = false;
bool has_line_order = false;
bool has_pixel_aspect_ratio = false;
bool has_screen_window_center = false;
bool has_screen_window_width = false;
info->data_window[0] = 0;
info->data_window[1] = 0;
info->data_window[2] = 0;
info->data_window[3] = 0;
info->line_order = 0; // @fixme
info->display_window[0] = 0;
info->display_window[1] = 0;
info->display_window[2] = 0;
info->display_window[3] = 0;
info->screen_window_center[0] = 0.0f;
info->screen_window_center[1] = 0.0f;
info->screen_window_width = -1.0f;
info->pixel_aspect_ratio = -1.0f;
info->tile_size_x = -1;
info->tile_size_y = -1;
info->tile_level_mode = -1;
info->tile_rounding_mode = -1;
info->attributes.clear();
// Read attributes
size_t orig_size = size;
for (;;) {
if (0 == size) {
return TINYEXR_ERROR_INVALID_DATA;
} else if (marker[0] == '\0') {
size--;
break;
}
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
size_t marker_size;
if (!tinyexr::ReadAttribute(&attr_name, &attr_type, &data, &marker_size,
marker, size)) {
return TINYEXR_ERROR_INVALID_DATA;
}
marker += marker_size;
size -= marker_size;
if (version->tiled && attr_name.compare("tiles") == 0) {
unsigned int x_size, y_size;
unsigned char tile_mode;
assert(data.size() == 9);
memcpy(&x_size, &data.at(0), sizeof(int));
memcpy(&y_size, &data.at(4), sizeof(int));
tile_mode = data[8];
tinyexr::swap4(&x_size);
tinyexr::swap4(&y_size);
info->tile_size_x = static_cast<int>(x_size);
info->tile_size_y = static_cast<int>(y_size);
// mode = levelMode + roundingMode * 16
info->tile_level_mode = tile_mode & 0x3;
info->tile_rounding_mode = (tile_mode >> 4) & 0x1;
} else if (attr_name.compare("compression") == 0) {
bool ok = false;
if ((data[0] >= TINYEXR_COMPRESSIONTYPE_NONE) &&
(data[0] < TINYEXR_COMPRESSIONTYPE_PIZ)) {
ok = true;
}
if (data[0] == TINYEXR_COMPRESSIONTYPE_PIZ) {
#if TINYEXR_USE_PIZ
ok = true;
#else
if (err) {
(*err) = "PIZ compression is not supported.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
#endif
}
if (data[0] == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
ok = true;
#else
if (err) {
(*err) = "ZFP compression is not supported.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
#endif
}
if (!ok) {
if (err) {
(*err) = "Unknown compression type.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
info->compression_type = static_cast<int>(data[0]);
has_compression = true;
} else if (attr_name.compare("channels") == 0) {
// name: zero-terminated string, from 1 to 255 bytes long
// pixel type: int, possible values are: UINT = 0 HALF = 1 FLOAT = 2
// pLinear: unsigned char, possible values are 0 and 1
// reserved: three chars, should be zero
// xSampling: int
// ySampling: int
ReadChannelInfo(info->channels, data);
if (info->channels.size() < 1) {
if (err) {
(*err) = "# of channels is zero.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
has_channels = true;
} else if (attr_name.compare("dataWindow") == 0) {
memcpy(&info->data_window[0], &data.at(0), sizeof(int));
memcpy(&info->data_window[1], &data.at(4), sizeof(int));
memcpy(&info->data_window[2], &data.at(8), sizeof(int));
memcpy(&info->data_window[3], &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[3]));
has_data_window = true;
} else if (attr_name.compare("displayWindow") == 0) {
memcpy(&info->display_window[0], &data.at(0), sizeof(int));
memcpy(&info->display_window[1], &data.at(4), sizeof(int));
memcpy(&info->display_window[2], &data.at(8), sizeof(int));
memcpy(&info->display_window[3], &data.at(12), sizeof(int));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[0]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[1]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[2]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[3]));
has_display_window = true;
} else if (attr_name.compare("lineOrder") == 0) {
info->line_order = static_cast<int>(data[0]);
has_line_order = true;
} else if (attr_name.compare("pixelAspectRatio") == 0) {
memcpy(&info->pixel_aspect_ratio, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->pixel_aspect_ratio));
has_pixel_aspect_ratio = true;
} else if (attr_name.compare("screenWindowCenter") == 0) {
memcpy(&info->screen_window_center[0], &data.at(0), sizeof(float));
memcpy(&info->screen_window_center[1], &data.at(4), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_center[0]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_center[1]));
has_screen_window_center = true;
} else if (attr_name.compare("screenWindowWidth") == 0) {
memcpy(&info->screen_window_width, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_width));
has_screen_window_width = true;
} else if (attr_name.compare("chunkCount") == 0) {
memcpy(&info->chunk_count, &data.at(0), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->chunk_count));
} else {
// Custom attribute(up to TINYEXR_MAX_ATTRIBUTES)
if (info->attributes.size() < TINYEXR_MAX_ATTRIBUTES) {
EXRAttribute attrib;
strncpy(attrib.name, attr_name.c_str(), 255);
attrib.name[255] = '\0';
strncpy(attrib.type, attr_type.c_str(), 255);
attrib.type[255] = '\0';
attrib.size = static_cast<int>(data.size());
attrib.value = static_cast<unsigned char *>(malloc(data.size()));
memcpy(reinterpret_cast<char *>(attrib.value), &data.at(0),
data.size());
info->attributes.push_back(attrib);
}
}
}
// Check if required attributes exist
{
std::stringstream ss_err;
if (!has_compression) {
ss_err << "\"compression\" attribute not found in the header."
<< std::endl;
}
if (!has_channels) {
ss_err << "\"channels\" attribute not found in the header." << std::endl;
}
if (!has_line_order) {
ss_err << "\"lineOrder\" attribute not found in the header." << std::endl;
}
if (!has_display_window) {
ss_err << "\"displayWindow\" attribute not found in the header."
<< std::endl;
}
if (!has_data_window) {
ss_err << "\"dataWindow\" attribute not found in the header."
<< std::endl;
}
if (!has_pixel_aspect_ratio) {
ss_err << "\"pixelAspectRatio\" attribute not found in the header."
<< std::endl;
}
if (!has_screen_window_width) {
ss_err << "\"screenWindowWidth\" attribute not found in the header."
<< std::endl;
}
if (!has_screen_window_center) {
ss_err << "\"screenWindowCenter\" attribute not found in the header."
<< std::endl;
}
if (!(ss_err.str().empty())) {
if (err) {
(*err) += ss_err.str();
}
return TINYEXR_ERROR_INVALID_HEADER;
}
}
info->header_len = static_cast<unsigned int>(orig_size - size);
return TINYEXR_SUCCESS;
}
// C++ HeaderInfo to C EXRHeader conversion.
static void ConvertHeader(EXRHeader *exr_header, const HeaderInfo &info) {
exr_header->pixel_aspect_ratio = info.pixel_aspect_ratio;
exr_header->screen_window_center[0] = info.screen_window_center[0];
exr_header->screen_window_center[1] = info.screen_window_center[1];
exr_header->screen_window_width = info.screen_window_width;
exr_header->chunk_count = info.chunk_count;
exr_header->display_window[0] = info.display_window[0];
exr_header->display_window[1] = info.display_window[1];
exr_header->display_window[2] = info.display_window[2];
exr_header->display_window[3] = info.display_window[3];
exr_header->data_window[0] = info.data_window[0];
exr_header->data_window[1] = info.data_window[1];
exr_header->data_window[2] = info.data_window[2];
exr_header->data_window[3] = info.data_window[3];
exr_header->line_order = info.line_order;
exr_header->compression_type = info.compression_type;
exr_header->tile_size_x = info.tile_size_x;
exr_header->tile_size_y = info.tile_size_y;
exr_header->tile_level_mode = info.tile_level_mode;
exr_header->tile_rounding_mode = info.tile_rounding_mode;
exr_header->num_channels = static_cast<int>(info.channels.size());
exr_header->channels = static_cast<EXRChannelInfo *>(malloc(
sizeof(EXRChannelInfo) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
strncpy(exr_header->channels[c].name, info.channels[c].name.c_str(), 255);
// manually add '\0' for safety.
exr_header->channels[c].name[255] = '\0';
exr_header->channels[c].pixel_type = info.channels[c].pixel_type;
exr_header->channels[c].p_linear = info.channels[c].p_linear;
exr_header->channels[c].x_sampling = info.channels[c].x_sampling;
exr_header->channels[c].y_sampling = info.channels[c].y_sampling;
}
exr_header->pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
exr_header->pixel_types[c] = info.channels[c].pixel_type;
}
// Initially fill with values of `pixel_types`
exr_header->requested_pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
exr_header->requested_pixel_types[c] = info.channels[c].pixel_type;
}
assert(info.attributes.size() < TINYEXR_MAX_ATTRIBUTES);
exr_header->num_custom_attributes = static_cast<int>(info.attributes.size());
for (size_t i = 0; i < info.attributes.size(); i++) {
memcpy(exr_header->custom_attributes[i].name, info.attributes[i].name, 256);
memcpy(exr_header->custom_attributes[i].type, info.attributes[i].type, 256);
exr_header->custom_attributes[i].size = info.attributes[i].size;
// Just copy poiner
exr_header->custom_attributes[i].value = info.attributes[i].value;
}
exr_header->header_len = info.header_len;
}
static int DecodeChunk(EXRImage *exr_image, const EXRHeader *exr_header,
const std::vector<tinyexr::tinyexr_uint64> &offsets,
const unsigned char *head) {
int num_channels = exr_header->num_channels;
int num_scanline_blocks = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanline_blocks = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanline_blocks = 16;
}
int data_width = exr_header->data_window[2] - exr_header->data_window[0] + 1;
int data_height = exr_header->data_window[3] - exr_header->data_window[1] + 1;
size_t num_blocks = offsets.size();
std::vector<size_t> channel_offset_list;
int pixel_data_size = 0;
size_t channel_offset = 0;
tinyexr::ComputeChannelLayout(&channel_offset_list, &pixel_data_size,
&channel_offset, num_channels,
exr_header->channels);
if (exr_header->tiled) {
size_t num_tiles = offsets.size(); // = # of blocks
exr_image->tiles = static_cast<EXRTile *>(
malloc(sizeof(EXRTile) * static_cast<size_t>(num_tiles)));
for (size_t tile_idx = 0; tile_idx < num_tiles; tile_idx++) {
// Allocate memory for each tile.
exr_image->tiles[tile_idx].images = tinyexr::AllocateImage(
num_channels, exr_header->channels, exr_header->requested_pixel_types,
data_width, data_height);
// 16 byte: tile coordinates
// 4 byte : data size
// ~ : data(uncompressed or compressed)
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[tile_idx]);
int tile_coordinates[4];
memcpy(tile_coordinates, data_ptr, sizeof(int) * 4);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[3]));
// @todo{ LoD }
assert(tile_coordinates[2] == 0);
assert(tile_coordinates[3] == 0);
int data_len;
memcpy(&data_len, data_ptr + 16,
sizeof(int)); // 16 = sizeof(tile_coordinates)
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
assert(data_len >= 4);
// Move to data addr: 20 = 16 + 4;
data_ptr += 20;
tinyexr::DecodeTiledPixelData(
exr_image->tiles[tile_idx].images,
&(exr_image->tiles[tile_idx].width),
&(exr_image->tiles[tile_idx].height),
exr_header->requested_pixel_types, data_ptr,
static_cast<size_t>(data_len), exr_header->compression_type,
exr_header->line_order, data_width, data_height, tile_coordinates[0],
tile_coordinates[1], exr_header->tile_size_x, exr_header->tile_size_y,
static_cast<size_t>(pixel_data_size),
static_cast<size_t>(exr_header->num_custom_attributes),
exr_header->custom_attributes,
static_cast<size_t>(exr_header->num_channels), exr_header->channels,
channel_offset_list);
exr_image->tiles[tile_idx].offset_x = tile_coordinates[0];
exr_image->tiles[tile_idx].offset_y = tile_coordinates[1];
exr_image->tiles[tile_idx].level_x = tile_coordinates[2];
exr_image->tiles[tile_idx].level_y = tile_coordinates[3];
exr_image->num_tiles = static_cast<int>(num_tiles);
}
} else { // scanline format
exr_image->images = tinyexr::AllocateImage(
num_channels, exr_header->channels, exr_header->requested_pixel_types,
data_width, data_height);
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int y = 0; y < static_cast<int>(num_blocks); y++) {
size_t y_idx = static_cast<size_t>(y);
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y_idx]);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(uncompressed or compressed)
int line_no;
memcpy(&line_no, data_ptr, sizeof(int));
int data_len;
memcpy(&data_len, data_ptr + 4, sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&line_no));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
int end_line_no = (std::min)(line_no + num_scanline_blocks,
(exr_header->data_window[3] + 1));
int num_lines = end_line_no - line_no;
assert(num_lines > 0);
// Move to data addr: 8 = 4 + 4;
data_ptr += 8;
// Adjust line_no with data_window.bmin.y
line_no -= exr_header->data_window[1];
tinyexr::DecodePixelData(
exr_image->images, exr_header->requested_pixel_types, data_ptr,
static_cast<size_t>(data_len), exr_header->compression_type,
exr_header->line_order, data_width, data_height, data_width, y,
line_no, num_lines, static_cast<size_t>(pixel_data_size),
static_cast<size_t>(exr_header->num_custom_attributes),
exr_header->custom_attributes,
static_cast<size_t>(exr_header->num_channels), exr_header->channels,
channel_offset_list);
} // omp parallel
}
// Overwrite `pixel_type` with `requested_pixel_type`.
{
for (int c = 0; c < exr_header->num_channels; c++) {
exr_header->pixel_types[c] = exr_header->requested_pixel_types[c];
}
}
{
exr_image->num_channels = num_channels;
exr_image->width = data_width;
exr_image->height = data_height;
}
return TINYEXR_SUCCESS;
}
static bool ReconstructLineOffsets(
std::vector<tinyexr::tinyexr_uint64> *offsets, size_t n,
const unsigned char *head, const unsigned char *marker, const size_t size) {
assert(head < marker);
assert(offsets->size() == n);
for (size_t i = 0; i < n; i++) {
size_t offset = static_cast<size_t>(marker - head);
// Offset should not exceed whole EXR file/data size.
if (offset >= size) {
return false;
}
int y;
unsigned int data_len;
memcpy(&y, marker, sizeof(int));
memcpy(&data_len, marker + 4, sizeof(unsigned int));
if (data_len >= size) {
return false;
}
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
(*offsets)[i] = offset;
marker += data_len + 8; // 8 = 4 bytes(y) + 4 bytes(data_len)
}
return true;
}
static int DecodeEXRImage(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *head,
const unsigned char *marker, const size_t size,
const char **err) {
if (exr_image == NULL || exr_header == NULL || head == NULL ||
marker == NULL || (size <= tinyexr::kEXRVersionSize)) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
int num_scanline_blocks = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanline_blocks = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanline_blocks = 16;
}
int data_width = exr_header->data_window[2] - exr_header->data_window[0] + 1;
int data_height = exr_header->data_window[3] - exr_header->data_window[1] + 1;
// Read offset tables.
size_t num_blocks;
if (exr_header->chunk_count > 0) {
// Use `chunkCount` attribute.
num_blocks = static_cast<size_t>(exr_header->chunk_count);
} else if (exr_header->tiled) {
// @todo { LoD }
size_t num_x_tiles = static_cast<size_t>(data_width) /
static_cast<size_t>(exr_header->tile_size_x);
if (num_x_tiles * static_cast<size_t>(exr_header->tile_size_x) <
static_cast<size_t>(data_width)) {
num_x_tiles++;
}
size_t num_y_tiles = static_cast<size_t>(data_height) /
static_cast<size_t>(exr_header->tile_size_y);
if (num_y_tiles * static_cast<size_t>(exr_header->tile_size_y) <
static_cast<size_t>(data_height)) {
num_y_tiles++;
}
num_blocks = num_x_tiles * num_y_tiles;
} else {
num_blocks = static_cast<size_t>(data_height) /
static_cast<size_t>(num_scanline_blocks);
if (num_blocks * static_cast<size_t>(num_scanline_blocks) <
static_cast<size_t>(data_height)) {
num_blocks++;
}
}
std::vector<tinyexr::tinyexr_uint64> offsets(num_blocks);
for (size_t y = 0; y < num_blocks; y++) {
tinyexr::tinyexr_uint64 offset;
memcpy(&offset, marker, sizeof(tinyexr::tinyexr_uint64));
tinyexr::swap8(&offset);
if (offset >= size) {
if (err) {
(*err) = "Invalid offset value.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
marker += sizeof(tinyexr::tinyexr_uint64); // = 8
offsets[y] = offset;
}
// If line offsets are invalid, we try to reconstruct it.
// See OpenEXR/IlmImf/ImfScanLineInputFile.cpp::readLineOffsets() for details.
for (size_t y = 0; y < num_blocks; y++) {
if (offsets[y] <= 0) {
// TODO(syoyo) Report as warning?
// if (err) {
// stringstream ss;
// ss << "Incomplete lineOffsets." << std::endl;
// (*err) += ss.str();
//}
bool ret =
ReconstructLineOffsets(&offsets, num_blocks, head, marker, size);
if (ret) {
// OK
break;
} else {
if (err) {
(*err) = "Cannot reconstruct lineOffset table.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
}
}
return DecodeChunk(exr_image, exr_header, offsets, head);
}
} // namespace tinyexr
int LoadEXR(float **out_rgba, int *width, int *height, const char *filename,
const char **err) {
if (out_rgba == NULL) {
if (err) {
(*err) = "Invalid argument.\n";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRVersion exr_version;
EXRImage exr_image;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
InitEXRImage(&exr_image);
{
int ret = ParseEXRVersionFromFile(&exr_version, filename);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
if (exr_version.multipart || exr_version.non_image) {
if (err) {
(*err) = "Loading multipart or DeepImage is not supported yet.\n";
}
return TINYEXR_ERROR_INVALID_DATA; // @fixme.
}
}
{
int ret = ParseEXRHeaderFromFile(&exr_header, &exr_version, filename, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
}
// Read HALF channel as FLOAT.
for (int i = 0; i < exr_header.num_channels; i++) {
if (exr_header.pixel_types[i] == TINYEXR_PIXELTYPE_HALF) {
exr_header.requested_pixel_types[i] = TINYEXR_PIXELTYPE_FLOAT;
}
}
{
int ret = LoadEXRImageFromFile(&exr_image, &exr_header, filename, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
}
// RGBA
int idxR = -1;
int idxG = -1;
int idxB = -1;
int idxA = -1;
for (int c = 0; c < exr_header.num_channels; c++) {
if (strcmp(exr_header.channels[c].name, "R") == 0) {
idxR = c;
} else if (strcmp(exr_header.channels[c].name, "G") == 0) {
idxG = c;
} else if (strcmp(exr_header.channels[c].name, "B") == 0) {
idxB = c;
} else if (strcmp(exr_header.channels[c].name, "A") == 0) {
idxA = c;
}
}
if (idxR == -1) {
if (err) {
(*err) = "R channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
if (err) {
(*err) = "G channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
if (err) {
(*err) = "B channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
(*out_rgba)[4 * i + 0] =
reinterpret_cast<float **>(exr_image.images)[idxR][i];
(*out_rgba)[4 * i + 1] =
reinterpret_cast<float **>(exr_image.images)[idxG][i];
(*out_rgba)[4 * i + 2] =
reinterpret_cast<float **>(exr_image.images)[idxB][i];
if (idxA != -1) {
(*out_rgba)[4 * i + 3] =
reinterpret_cast<float **>(exr_image.images)[idxA][i];
} else {
(*out_rgba)[4 * i + 3] = 1.0;
}
}
(*width) = exr_image.width;
(*height) = exr_image.height;
FreeEXRHeader(&exr_header);
FreeEXRImage(&exr_image);
return TINYEXR_SUCCESS;
}
int ParseEXRHeaderFromMemory(EXRHeader *exr_header, const EXRVersion *version,
const unsigned char *memory, size_t size,
const char **err) {
if (memory == NULL || exr_header == NULL) {
if (err) {
(*err) = "Invalid argument.\n";
}
// Invalid argument
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory + tinyexr::kEXRVersionSize;
size_t marker_size = size - tinyexr::kEXRVersionSize;
tinyexr::HeaderInfo info;
info.clear();
std::string err_str;
int ret = ParseEXRHeader(&info, NULL, version, &err_str, marker, marker_size);
if (ret != TINYEXR_SUCCESS) {
if (err && !err_str.empty()) {
(*err) = strdup(err_str.c_str()); // May leak
}
}
ConvertHeader(exr_header, info);
// transfoer `tiled` from version.
exr_header->tiled = version->tiled;
return ret;
}
int LoadEXRFromMemory(float *out_rgba, const unsigned char *memory, size_t size,
const char **err) {
if (out_rgba == NULL || memory == NULL) {
if (err) {
(*err) = "Invalid argument.\n";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRVersion exr_version;
EXRImage exr_image;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
int ret = ParseEXRVersionFromMemory(&exr_version, memory, size);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
ret = ParseEXRHeaderFromMemory(&exr_header, &exr_version, memory, size, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
InitEXRImage(&exr_image);
ret = LoadEXRImageFromMemory(&exr_image, &exr_header, memory, size, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
// RGBA
int idxR = -1;
int idxG = -1;
int idxB = -1;
int idxA = -1;
for (int c = 0; c < exr_header.num_channels; c++) {
if (strcmp(exr_header.channels[c].name, "R") == 0) {
idxR = c;
} else if (strcmp(exr_header.channels[c].name, "G") == 0) {
idxG = c;
} else if (strcmp(exr_header.channels[c].name, "B") == 0) {
idxB = c;
} else if (strcmp(exr_header.channels[c].name, "A") == 0) {
idxA = c;
}
}
if (idxR == -1) {
if (err) {
(*err) = "R channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
if (err) {
(*err) = "G channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
if (err) {
(*err) = "B channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
// Assume `out_rgba` have enough memory allocated.
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
out_rgba[4 * i + 0] = reinterpret_cast<float **>(exr_image.images)[idxR][i];
out_rgba[4 * i + 1] = reinterpret_cast<float **>(exr_image.images)[idxG][i];
out_rgba[4 * i + 2] = reinterpret_cast<float **>(exr_image.images)[idxB][i];
if (idxA > 0) {
out_rgba[4 * i + 3] =
reinterpret_cast<float **>(exr_image.images)[idxA][i];
} else {
out_rgba[4 * i + 3] = 1.0;
}
}
return TINYEXR_SUCCESS;
}
int LoadEXRImageFromFile(EXRImage *exr_image, const EXRHeader *exr_header,
const char *filename, const char **err) {
if (exr_image == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// -- GODOT change for old MinGW on Travis CI --
//#ifdef _WIN32
#if defined(_MSC_VER) || (defined(__MINGW32__) && __MINGW64_VERSION_MAJOR >= 3)
// -- GODOT end --
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
(void)ret;
}
return LoadEXRImageFromMemory(exr_image, exr_header, &buf.at(0), filesize,
err);
}
int LoadEXRImageFromMemory(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *memory, const size_t size,
const char **err) {
if (exr_image == NULL || memory == NULL ||
(size < tinyexr::kEXRVersionSize)) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (exr_header->header_len == 0) {
if (err) {
(*err) = "EXRHeader is not initialized.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
const unsigned char *head = memory;
const unsigned char *marker = reinterpret_cast<const unsigned char *>(
memory + exr_header->header_len +
8); // +8 for magic number + version header.
return tinyexr::DecodeEXRImage(exr_image, exr_header, head, marker, size,
err);
}
size_t SaveEXRImageToMemory(const EXRImage *exr_image,
const EXRHeader *exr_header,
unsigned char **memory_out, const char **err) {
if (exr_image == NULL || memory_out == NULL ||
exr_header->compression_type < 0) {
if (err) {
(*err) = "Invalid argument.";
}
return 0; // @fixme
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
if (err) {
(*err) = "PIZ compression is not supported in this build.";
}
return 0;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
if (err) {
(*err) = "ZFP compression is not supported in this build.";
}
return 0;
}
#endif
#if TINYEXR_USE_ZFP
for (size_t i = 0; i < static_cast<size_t>(exr_header->num_channels); i++) {
if (exr_header->requested_pixel_types[i] != TINYEXR_PIXELTYPE_FLOAT) {
if (err) {
(*err) = "Pixel type must be FLOAT for ZFP compression.";
}
return 0;
}
}
#endif
std::vector<unsigned char> memory;
// Header
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
memory.insert(memory.end(), header, header + 4);
}
// Version, scanline.
{
char marker[] = {2, 0, 0, 0};
/* @todo
if (exr_header->tiled) {
marker[1] |= 0x2;
}
if (exr_header->long_name) {
marker[1] |= 0x4;
}
if (exr_header->non_image) {
marker[1] |= 0x8;
}
if (exr_header->multipart) {
marker[1] |= 0x10;
}
*/
memory.insert(memory.end(), marker, marker + 4);
}
int num_scanlines = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanlines = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanlines = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanlines = 16;
}
// Write attributes.
std::vector<tinyexr::ChannelInfo> channels;
{
std::vector<unsigned char> data;
for (int c = 0; c < exr_header->num_channels; c++) {
tinyexr::ChannelInfo info;
info.p_linear = 0;
info.pixel_type = exr_header->requested_pixel_types[c];
info.x_sampling = 1;
info.y_sampling = 1;
info.name = std::string(exr_header->channels[c].name);
channels.push_back(info);
}
tinyexr::WriteChannelInfo(data, channels);
tinyexr::WriteAttributeToMemory(&memory, "channels", "chlist", &data.at(0),
static_cast<int>(data.size()));
}
{
int comp = exr_header->compression_type;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&comp));
tinyexr::WriteAttributeToMemory(
&memory, "compression", "compression",
reinterpret_cast<const unsigned char *>(&comp), 1);
}
{
int data[4] = {0, 0, exr_image->width - 1, exr_image->height - 1};
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[3]));
tinyexr::WriteAttributeToMemory(
&memory, "dataWindow", "box2i",
reinterpret_cast<const unsigned char *>(data), sizeof(int) * 4);
tinyexr::WriteAttributeToMemory(
&memory, "displayWindow", "box2i",
reinterpret_cast<const unsigned char *>(data), sizeof(int) * 4);
}
{
unsigned char line_order = 0; // @fixme { read line_order from EXRHeader }
tinyexr::WriteAttributeToMemory(&memory, "lineOrder", "lineOrder",
&line_order, 1);
}
{
float aspectRatio = 1.0f;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&aspectRatio));
tinyexr::WriteAttributeToMemory(
&memory, "pixelAspectRatio", "float",
reinterpret_cast<const unsigned char *>(&aspectRatio), sizeof(float));
}
{
float center[2] = {0.0f, 0.0f};
tinyexr::swap4(reinterpret_cast<unsigned int *>(¢er[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(¢er[1]));
tinyexr::WriteAttributeToMemory(
&memory, "screenWindowCenter", "v2f",
reinterpret_cast<const unsigned char *>(center), 2 * sizeof(float));
}
{
float w = static_cast<float>(exr_image->width);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&w));
tinyexr::WriteAttributeToMemory(&memory, "screenWindowWidth", "float",
reinterpret_cast<const unsigned char *>(&w),
sizeof(float));
}
// Custom attributes
if (exr_header->num_custom_attributes > 0) {
for (int i = 0; i < exr_header->num_custom_attributes; i++) {
tinyexr::WriteAttributeToMemory(
&memory, exr_header->custom_attributes[i].name,
exr_header->custom_attributes[i].type,
reinterpret_cast<const unsigned char *>(
exr_header->custom_attributes[i].value),
exr_header->custom_attributes[i].size);
}
}
{ // end of header
unsigned char e = 0;
memory.push_back(e);
}
int num_blocks = exr_image->height / num_scanlines;
if (num_blocks * num_scanlines < exr_image->height) {
num_blocks++;
}
std::vector<tinyexr::tinyexr_uint64> offsets(static_cast<size_t>(num_blocks));
size_t headerSize = memory.size();
tinyexr::tinyexr_uint64 offset =
headerSize +
static_cast<size_t>(num_blocks) *
sizeof(
tinyexr::tinyexr_int64); // sizeof(header) + sizeof(offsetTable)
std::vector<unsigned char> data;
std::vector<std::vector<unsigned char> > data_list(
static_cast<size_t>(num_blocks));
std::vector<size_t> channel_offset_list(
static_cast<size_t>(exr_header->num_channels));
int pixel_data_size = 0;
size_t channel_offset = 0;
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
channel_offset_list[c] = channel_offset;
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
pixel_data_size += sizeof(unsigned short);
channel_offset += sizeof(unsigned short);
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_FLOAT) {
pixel_data_size += sizeof(float);
channel_offset += sizeof(float);
} else if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT) {
pixel_data_size += sizeof(unsigned int);
channel_offset += sizeof(unsigned int);
} else {
assert(0);
}
}
#if TINYEXR_USE_ZFP
tinyexr::ZFPCompressionParam zfp_compression_param;
// Use ZFP compression parameter from custom attributes(if such a parameter
// exists)
{
bool ret = tinyexr::FindZFPCompressionParam(
&zfp_compression_param, exr_header->custom_attributes,
exr_header->num_custom_attributes);
if (!ret) {
// Use predefined compression parameter.
zfp_compression_param.type = 0;
zfp_compression_param.rate = 2;
}
}
#endif
// Use signed int since some OpenMP compiler doesn't allow unsigned type for
// `parallel for`
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < num_blocks; i++) {
size_t ii = static_cast<size_t>(i);
int start_y = num_scanlines * i;
int endY = (std::min)(num_scanlines * (i + 1), exr_image->height);
int h = endY - start_y;
std::vector<unsigned char> buf(
static_cast<size_t>(exr_image->width * h * pixel_data_size));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
tinyexr::FP16 h16;
h16.u = reinterpret_cast<unsigned short **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::FP32 f32 = half_to_float(h16);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&f32.f));
// Assume increasing Y
float *line_ptr = reinterpret_cast<float *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
line_ptr[x] = f32.f;
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_HALF) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
unsigned short val = reinterpret_cast<unsigned short **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap2(&val);
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(static_cast<size_t>(pixel_data_size * y *
exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
line_ptr[x] = val;
}
}
} else {
assert(0);
}
} else if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
tinyexr::FP32 f32;
f32.f = reinterpret_cast<float **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::FP16 h16;
h16 = float_to_half_full(f32);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&h16.u));
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(static_cast<size_t>(pixel_data_size * y *
exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
line_ptr[x] = h16.u;
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_FLOAT) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
float val = reinterpret_cast<float **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
// Assume increasing Y
float *line_ptr = reinterpret_cast<float *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
line_ptr[x] = val;
}
}
} else {
assert(0);
}
} else if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_UINT) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
unsigned int val = reinterpret_cast<unsigned int **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap4(&val);
// Assume increasing Y
unsigned int *line_ptr = reinterpret_cast<unsigned int *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
line_ptr[x] = val;
}
}
}
}
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_NONE) {
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(uncompressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(buf.size());
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), buf.begin(),
buf.begin() + data_len);
} else if ((exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP)) {
#if TINYEXR_USE_MINIZ
std::vector<unsigned char> block(tinyexr::miniz::mz_compressBound(
static_cast<unsigned long>(buf.size())));
#else
std::vector<unsigned char> block(
compressBound(static_cast<uLong>(buf.size())));
#endif
tinyexr::tinyexr_uint64 outSize = block.size();
tinyexr::CompressZip(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
static_cast<unsigned long>(buf.size()));
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(outSize); // truncate
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_RLE) {
// (buf.size() * 3) / 2 would be enough.
std::vector<unsigned char> block((buf.size() * 3) / 2);
tinyexr::tinyexr_uint64 outSize = block.size();
tinyexr::CompressRle(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
static_cast<unsigned long>(buf.size()));
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(outSize); // truncate
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
#if TINYEXR_USE_PIZ
unsigned int bufLen =
1024 + static_cast<unsigned int>(
1.2 * static_cast<unsigned int>(
buf.size())); // @fixme { compute good bound. }
std::vector<unsigned char> block(bufLen);
unsigned int outSize = static_cast<unsigned int>(block.size());
CompressPiz(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
buf.size(), channels, exr_image->width, h);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = outSize;
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
#else
assert(0);
#endif
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
std::vector<unsigned char> block;
unsigned int outSize;
tinyexr::CompressZfp(
&block, &outSize, reinterpret_cast<const float *>(&buf.at(0)),
exr_image->width, h, exr_header->num_channels, zfp_compression_param);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = outSize;
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
#else
assert(0);
#endif
} else {
assert(0);
}
} // omp parallel
for (size_t i = 0; i < static_cast<size_t>(num_blocks); i++) {
data.insert(data.end(), data_list[i].begin(), data_list[i].end());
offsets[i] = offset;
tinyexr::swap8(reinterpret_cast<tinyexr::tinyexr_uint64 *>(&offsets[i]));
offset += data_list[i].size();
}
{
memory.insert(
memory.end(), reinterpret_cast<unsigned char *>(&offsets.at(0)),
reinterpret_cast<unsigned char *>(&offsets.at(0)) +
sizeof(tinyexr::tinyexr_uint64) * static_cast<size_t>(num_blocks));
}
{ memory.insert(memory.end(), data.begin(), data.end()); }
assert(memory.size() > 0);
(*memory_out) = static_cast<unsigned char *>(malloc(memory.size()));
memcpy((*memory_out), &memory.at(0), memory.size());
return memory.size(); // OK
}
int SaveEXRImageToFile(const EXRImage *exr_image, const EXRHeader *exr_header,
const char *filename, const char **err) {
if (exr_image == NULL || filename == NULL ||
exr_header->compression_type < 0) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
if (err) {
(*err) = "PIZ compression is not supported in this build.";
}
return 0;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
if (err) {
(*err) = "ZFP compression is not supported in this build.";
}
return 0;
}
#endif
// -- GODOT change for old MinGW on Travis CI --
//#ifdef _WIN32
#if defined(_MSC_VER) || (defined(__MINGW32__) && __MINGW64_VERSION_MAJOR >= 3)
// -- GODOT end --
FILE *fp = NULL;
fopen_s(&fp, filename, "wb");
#else
FILE *fp = fopen(filename, "wb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot write a file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
unsigned char *mem = NULL;
size_t mem_size = SaveEXRImageToMemory(exr_image, exr_header, &mem, err);
if ((mem_size > 0) && mem) {
fwrite(mem, 1, mem_size, fp);
}
free(mem);
fclose(fp);
return TINYEXR_SUCCESS;
}
int LoadDeepEXR(DeepImage *deep_image, const char *filename, const char **err) {
if (deep_image == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
FILE *fp = fopen(filename, "rb");
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
if (filesize == 0) {
fclose(fp);
if (err) {
(*err) = "File size is zero.";
}
return TINYEXR_ERROR_INVALID_FILE;
}
std::vector<char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
(void)ret;
}
fclose(fp);
const char *head = &buf[0];
const char *marker = &buf[0];
// Header check.
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
if (memcmp(marker, header, 4) != 0) {
if (err) {
(*err) = "Invalid magic number.";
}
return TINYEXR_ERROR_INVALID_MAGIC_NUMBER;
}
marker += 4;
}
// Version, scanline.
{
// ver 2.0, scanline, deep bit on(0x800)
// must be [2, 0, 0, 0]
if (marker[0] != 2 || marker[1] != 8 || marker[2] != 0 || marker[3] != 0) {
if (err) {
(*err) = "Unsupported version or scanline.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
marker += 4;
}
int dx = -1;
int dy = -1;
int dw = -1;
int dh = -1;
int num_scanline_blocks = 1; // 16 for ZIP compression.
int compression_type = -1;
int num_channels = -1;
std::vector<tinyexr::ChannelInfo> channels;
// Read attributes
size_t size = filesize - tinyexr::kEXRVersionSize;
for (;;) {
if (0 == size) {
return TINYEXR_ERROR_INVALID_DATA;
} else if (marker[0] == '\0') {
size--;
break;
}
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
size_t marker_size;
if (!tinyexr::ReadAttribute(&attr_name, &attr_type, &data, &marker_size,
marker, size)) {
return TINYEXR_ERROR_INVALID_DATA;
}
marker += marker_size;
size -= marker_size;
if (attr_name.compare("compression") == 0) {
compression_type = data[0];
if (compression_type > TINYEXR_COMPRESSIONTYPE_PIZ) {
if (err) {
(*err) = "Unsupported compression type.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
if (compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
}
} else if (attr_name.compare("channels") == 0) {
// name: zero-terminated string, from 1 to 255 bytes long
// pixel type: int, possible values are: UINT = 0 HALF = 1 FLOAT = 2
// pLinear: unsigned char, possible values are 0 and 1
// reserved: three chars, should be zero
// xSampling: int
// ySampling: int
tinyexr::ReadChannelInfo(channels, data);
num_channels = static_cast<int>(channels.size());
if (num_channels < 1) {
if (err) {
(*err) = "Invalid channels format.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
} else if (attr_name.compare("dataWindow") == 0) {
memcpy(&dx, &data.at(0), sizeof(int));
memcpy(&dy, &data.at(4), sizeof(int));
memcpy(&dw, &data.at(8), sizeof(int));
memcpy(&dh, &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dx));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dy));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dw));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dh));
} else if (attr_name.compare("displayWindow") == 0) {
int x;
int y;
int w;
int h;
memcpy(&x, &data.at(0), sizeof(int));
memcpy(&y, &data.at(4), sizeof(int));
memcpy(&w, &data.at(8), sizeof(int));
memcpy(&h, &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&x));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&w));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&h));
}
}
assert(dx >= 0);
assert(dy >= 0);
assert(dw >= 0);
assert(dh >= 0);
assert(num_channels >= 1);
int data_width = dw - dx + 1;
int data_height = dh - dy + 1;
std::vector<float> image(
static_cast<size_t>(data_width * data_height * 4)); // 4 = RGBA
// Read offset tables.
int num_blocks = data_height / num_scanline_blocks;
if (num_blocks * num_scanline_blocks < data_height) {
num_blocks++;
}
std::vector<tinyexr::tinyexr_int64> offsets(static_cast<size_t>(num_blocks));
for (size_t y = 0; y < static_cast<size_t>(num_blocks); y++) {
tinyexr::tinyexr_int64 offset;
memcpy(&offset, marker, sizeof(tinyexr::tinyexr_int64));
tinyexr::swap8(reinterpret_cast<tinyexr::tinyexr_uint64 *>(&offset));
marker += sizeof(tinyexr::tinyexr_int64); // = 8
offsets[y] = offset;
}
#if TINYEXR_USE_PIZ
if ((compression_type == TINYEXR_COMPRESSIONTYPE_NONE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_RLE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_PIZ)) {
#else
if ((compression_type == TINYEXR_COMPRESSIONTYPE_NONE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_RLE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIP)) {
#endif
// OK
} else {
if (err) {
(*err) = "Unsupported format.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
deep_image->image = static_cast<float ***>(
malloc(sizeof(float **) * static_cast<size_t>(num_channels)));
for (int c = 0; c < num_channels; c++) {
deep_image->image[c] = static_cast<float **>(
malloc(sizeof(float *) * static_cast<size_t>(data_height)));
for (int y = 0; y < data_height; y++) {
}
}
deep_image->offset_table = static_cast<int **>(
malloc(sizeof(int *) * static_cast<size_t>(data_height)));
for (int y = 0; y < data_height; y++) {
deep_image->offset_table[y] = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(data_width)));
}
for (size_t y = 0; y < static_cast<size_t>(num_blocks); y++) {
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y]);
// int: y coordinate
// int64: packed size of pixel offset table
// int64: packed size of sample data
// int64: unpacked size of sample data
// compressed pixel offset table
// compressed sample data
int line_no;
tinyexr::tinyexr_int64 packedOffsetTableSize;
tinyexr::tinyexr_int64 packedSampleDataSize;
tinyexr::tinyexr_int64 unpackedSampleDataSize;
memcpy(&line_no, data_ptr, sizeof(int));
memcpy(&packedOffsetTableSize, data_ptr + 4,
sizeof(tinyexr::tinyexr_int64));
memcpy(&packedSampleDataSize, data_ptr + 12,
sizeof(tinyexr::tinyexr_int64));
memcpy(&unpackedSampleDataSize, data_ptr + 20,
sizeof(tinyexr::tinyexr_int64));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&line_no));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&packedOffsetTableSize));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&packedSampleDataSize));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&unpackedSampleDataSize));
std::vector<int> pixelOffsetTable(static_cast<size_t>(data_width));
// decode pixel offset table.
{
unsigned long dstLen =
static_cast<unsigned long>(pixelOffsetTable.size() * sizeof(int));
tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&pixelOffsetTable.at(0)), &dstLen,
data_ptr + 28, static_cast<unsigned long>(packedOffsetTableSize));
assert(dstLen == pixelOffsetTable.size() * sizeof(int));
for (size_t i = 0; i < static_cast<size_t>(data_width); i++) {
deep_image->offset_table[y][i] = pixelOffsetTable[i];
}
}
std::vector<unsigned char> sample_data(
static_cast<size_t>(unpackedSampleDataSize));
// decode sample data.
{
unsigned long dstLen = static_cast<unsigned long>(unpackedSampleDataSize);
tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&sample_data.at(0)), &dstLen,
data_ptr + 28 + packedOffsetTableSize,
static_cast<unsigned long>(packedSampleDataSize));
assert(dstLen == static_cast<unsigned long>(unpackedSampleDataSize));
}
// decode sample
int sampleSize = -1;
std::vector<int> channel_offset_list(static_cast<size_t>(num_channels));
{
int channel_offset = 0;
for (size_t i = 0; i < static_cast<size_t>(num_channels); i++) {
channel_offset_list[i] = channel_offset;
if (channels[i].pixel_type == TINYEXR_PIXELTYPE_UINT) { // UINT
channel_offset += 4;
} else if (channels[i].pixel_type == TINYEXR_PIXELTYPE_HALF) { // half
channel_offset += 2;
} else if (channels[i].pixel_type ==
TINYEXR_PIXELTYPE_FLOAT) { // float
channel_offset += 4;
} else {
assert(0);
}
}
sampleSize = channel_offset;
}
assert(sampleSize >= 2);
assert(static_cast<size_t>(
pixelOffsetTable[static_cast<size_t>(data_width - 1)] *
sampleSize) == sample_data.size());
int samples_per_line = static_cast<int>(sample_data.size()) / sampleSize;
//
// Alloc memory
//
//
// pixel data is stored as image[channels][pixel_samples]
//
{
tinyexr::tinyexr_uint64 data_offset = 0;
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
deep_image->image[c][y] = static_cast<float *>(
malloc(sizeof(float) * static_cast<size_t>(samples_per_line)));
if (channels[c].pixel_type == 0) { // UINT
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
unsigned int ui = *reinterpret_cast<unsigned int *>(
&sample_data.at(data_offset + x * sizeof(int)));
deep_image->image[c][y][x] = static_cast<float>(ui); // @fixme
}
data_offset +=
sizeof(unsigned int) * static_cast<size_t>(samples_per_line);
} else if (channels[c].pixel_type == 1) { // half
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
tinyexr::FP16 f16;
f16.u = *reinterpret_cast<unsigned short *>(
&sample_data.at(data_offset + x * sizeof(short)));
tinyexr::FP32 f32 = half_to_float(f16);
deep_image->image[c][y][x] = f32.f;
}
data_offset += sizeof(short) * static_cast<size_t>(samples_per_line);
} else { // float
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
float f = *reinterpret_cast<float *>(
&sample_data.at(data_offset + x * sizeof(float)));
deep_image->image[c][y][x] = f;
}
data_offset += sizeof(float) * static_cast<size_t>(samples_per_line);
}
}
}
} // y
deep_image->width = data_width;
deep_image->height = data_height;
deep_image->channel_names = static_cast<const char **>(
malloc(sizeof(const char *) * static_cast<size_t>(num_channels)));
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
#ifdef _WIN32
deep_image->channel_names[c] = _strdup(channels[c].name.c_str());
#else
deep_image->channel_names[c] = strdup(channels[c].name.c_str());
#endif
}
deep_image->num_channels = num_channels;
return TINYEXR_SUCCESS;
}
void InitEXRImage(EXRImage *exr_image) {
if (exr_image == NULL) {
return;
}
exr_image->width = 0;
exr_image->height = 0;
exr_image->num_channels = 0;
exr_image->images = NULL;
exr_image->tiles = NULL;
exr_image->num_tiles = 0;
}
void InitEXRHeader(EXRHeader *exr_header) {
if (exr_header == NULL) {
return;
}
memset(exr_header, 0, sizeof(EXRHeader));
}
int FreeEXRHeader(EXRHeader *exr_header) {
if (exr_header == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (exr_header->channels) {
free(exr_header->channels);
}
if (exr_header->pixel_types) {
free(exr_header->pixel_types);
}
if (exr_header->requested_pixel_types) {
free(exr_header->requested_pixel_types);
}
for (int i = 0; i < exr_header->num_custom_attributes; i++) {
if (exr_header->custom_attributes[i].value) {
free(exr_header->custom_attributes[i].value);
}
}
return TINYEXR_SUCCESS;
}
int FreeEXRImage(EXRImage *exr_image) {
if (exr_image == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
for (int i = 0; i < exr_image->num_channels; i++) {
if (exr_image->images && exr_image->images[i]) {
free(exr_image->images[i]);
}
}
if (exr_image->images) {
free(exr_image->images);
}
if (exr_image->tiles) {
for (int tid = 0; tid < exr_image->num_tiles; tid++) {
for (int i = 0; i < exr_image->num_channels; i++) {
if (exr_image->tiles[tid].images && exr_image->tiles[tid].images[i]) {
free(exr_image->tiles[tid].images[i]);
}
}
if (exr_image->tiles[tid].images) {
free(exr_image->tiles[tid].images);
}
}
}
return TINYEXR_SUCCESS;
}
int ParseEXRHeaderFromFile(EXRHeader *exr_header, const EXRVersion *exr_version,
const char *filename, const char **err) {
if (exr_header == NULL || exr_version == NULL || filename == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// -- GODOT change for old MinGW on Travis CI --
//#ifdef _WIN32
#if defined(_MSC_VER) || (defined(__MINGW32__) && __MINGW64_VERSION_MAJOR >= 3)
// -- GODOT end --
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
if (ret != filesize) {
if (err) {
(*err) = "fread error.";
}
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRHeaderFromMemory(exr_header, exr_version, &buf.at(0), filesize,
err);
}
int ParseEXRMultipartHeaderFromMemory(EXRHeader ***exr_headers,
int *num_headers,
const EXRVersion *exr_version,
const unsigned char *memory, size_t size,
const char **err) {
if (memory == NULL || exr_headers == NULL || num_headers == NULL ||
exr_version == NULL) {
// Invalid argument
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory + tinyexr::kEXRVersionSize;
size_t marker_size = size - tinyexr::kEXRVersionSize;
std::vector<tinyexr::HeaderInfo> infos;
for (;;) {
tinyexr::HeaderInfo info;
info.clear();
std::string err_str;
bool empty_header = false;
int ret = ParseEXRHeader(&info, &empty_header, exr_version, &err_str,
marker, marker_size);
if (ret != TINYEXR_SUCCESS) {
if (err) {
(*err) = strdup(err_str.c_str()); // may leak
}
return ret;
}
if (empty_header) {
marker += 1; // skip '\0'
break;
}
// `chunkCount` must exist in the header.
if (info.chunk_count == 0) {
if (err) {
(*err) = "`chunkCount' attribute is not found in the header.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
infos.push_back(info);
// move to next header.
marker += info.header_len;
size -= info.header_len;
}
// allocate memory for EXRHeader and create array of EXRHeader pointers.
(*exr_headers) =
static_cast<EXRHeader **>(malloc(sizeof(EXRHeader *) * infos.size()));
for (size_t i = 0; i < infos.size(); i++) {
EXRHeader *exr_header = static_cast<EXRHeader *>(malloc(sizeof(EXRHeader)));
ConvertHeader(exr_header, infos[i]);
// transfoer `tiled` from version.
exr_header->tiled = exr_version->tiled;
(*exr_headers)[i] = exr_header;
}
(*num_headers) = static_cast<int>(infos.size());
return TINYEXR_SUCCESS;
}
int ParseEXRMultipartHeaderFromFile(EXRHeader ***exr_headers, int *num_headers,
const EXRVersion *exr_version,
const char *filename, const char **err) {
if (exr_headers == NULL || num_headers == NULL || exr_version == NULL ||
filename == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// -- GODOT change for old MinGW on Travis CI --
//#ifdef _WIN32
#if defined(_MSC_VER) || (defined(__MINGW32__) && __MINGW64_VERSION_MAJOR >= 3)
// -- GODOT end --
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
if (ret != filesize) {
if (err) {
(*err) = "fread error.";
}
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRMultipartHeaderFromMemory(
exr_headers, num_headers, exr_version, &buf.at(0), filesize, err);
}
int ParseEXRVersionFromMemory(EXRVersion *version, const unsigned char *memory,
size_t size) {
if (version == NULL || memory == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory;
// Header check.
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
if (memcmp(marker, header, 4) != 0) {
return TINYEXR_ERROR_INVALID_MAGIC_NUMBER;
}
marker += 4;
}
version->tiled = false;
version->long_name = false;
version->non_image = false;
version->multipart = false;
// Parse version header.
{
// must be 2
if (marker[0] != 2) {
return TINYEXR_ERROR_INVALID_EXR_VERSION;
}
if (version == NULL) {
return TINYEXR_SUCCESS; // May OK
}
version->version = 2;
if (marker[1] & 0x2) { // 9th bit
version->tiled = true;
}
if (marker[1] & 0x4) { // 10th bit
version->long_name = true;
}
if (marker[1] & 0x8) { // 11th bit
version->non_image = true; // (deep image)
}
if (marker[1] & 0x10) { // 12th bit
version->multipart = true;
}
}
return TINYEXR_SUCCESS;
}
int ParseEXRVersionFromFile(EXRVersion *version, const char *filename) {
if (filename == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// -- GODOT change for old MinGW on Travis CI --
//#ifdef _WIN32
#if defined(_MSC_VER) || (defined(__MINGW32__) && __MINGW64_VERSION_MAJOR >= 3)
// -- GODOT end --
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t file_size;
// Compute size
fseek(fp, 0, SEEK_END);
file_size = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
if (file_size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_FILE;
}
unsigned char buf[tinyexr::kEXRVersionSize];
size_t ret = fread(&buf[0], 1, tinyexr::kEXRVersionSize, fp);
fclose(fp);
if (ret != tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_FILE;
}
return ParseEXRVersionFromMemory(version, buf, tinyexr::kEXRVersionSize);
}
int LoadEXRMultipartImageFromMemory(EXRImage *exr_images,
const EXRHeader **exr_headers,
unsigned int num_parts,
const unsigned char *memory,
const size_t size, const char **err) {
if (exr_images == NULL || exr_headers == NULL || num_parts == 0 ||
memory == NULL || (size <= tinyexr::kEXRVersionSize)) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// compute total header size.
size_t total_header_size = 0;
for (unsigned int i = 0; i < num_parts; i++) {
if (exr_headers[i]->header_len == 0) {
if (err) {
(*err) = "EXRHeader is not initialized.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
total_header_size += exr_headers[i]->header_len;
}
const char *marker = reinterpret_cast<const char *>(
memory + total_header_size + 4 +
4); // +8 for magic number and version header.
marker += 1; // Skip empty header.
// NOTE 1:
// In multipart image, There is 'part number' before chunk data.
// 4 byte : part number
// 4+ : chunk
//
// NOTE 2:
// EXR spec says 'part number' is 'unsigned long' but actually this is
// 'unsigned int(4 bytes)' in OpenEXR implementation...
// http://www.openexr.com/openexrfilelayout.pdf
// Load chunk offset table.
std::vector<std::vector<tinyexr::tinyexr_uint64> > chunk_offset_table_list;
for (size_t i = 0; i < static_cast<size_t>(num_parts); i++) {
std::vector<tinyexr::tinyexr_uint64> offset_table(
static_cast<size_t>(exr_headers[i]->chunk_count));
for (size_t c = 0; c < offset_table.size(); c++) {
tinyexr::tinyexr_uint64 offset;
memcpy(&offset, marker, 8);
tinyexr::swap8(&offset);
if (offset >= size) {
if (err) {
(*err) = "Invalid offset size.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
offset_table[c] = offset + 4; // +4 to skip 'part number'
marker += 8;
}
chunk_offset_table_list.push_back(offset_table);
}
// Decode image.
for (size_t i = 0; i < static_cast<size_t>(num_parts); i++) {
std::vector<tinyexr::tinyexr_uint64> &offset_table =
chunk_offset_table_list[i];
// First check 'part number' is identitical to 'i'
for (size_t c = 0; c < offset_table.size(); c++) {
const unsigned char *part_number_addr =
memory + offset_table[c] - 4; // -4 to move to 'part number' field.
unsigned int part_no;
memcpy(&part_no, part_number_addr, sizeof(unsigned int)); // 4
tinyexr::swap4(&part_no);
if (part_no != i) {
assert(0);
return TINYEXR_ERROR_INVALID_DATA;
}
}
int ret = tinyexr::DecodeChunk(&exr_images[i], exr_headers[i], offset_table,
memory);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
}
return TINYEXR_SUCCESS;
}
int LoadEXRMultipartImageFromFile(EXRImage *exr_images,
const EXRHeader **exr_headers,
unsigned int num_parts, const char *filename,
const char **err) {
if (exr_images == NULL || exr_headers == NULL || num_parts == 0) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// -- GODOT change for old MinGW on Travis CI --
//#ifdef _WIN32
#if defined(_MSC_VER) || (defined(__MINGW32__) && __MINGW64_VERSION_MAJOR >= 3)
// -- GODOT end --
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
(void)ret;
}
return LoadEXRMultipartImageFromMemory(exr_images, exr_headers, num_parts,
&buf.at(0), filesize, err);
}
int SaveEXR(const float *data, int width, int height, int components,
const char *outfilename) {
if (components == 3 || components == 4) {
// OK
} else {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// Assume at least 16x16 pixels.
if (width < 16) return TINYEXR_ERROR_INVALID_ARGUMENT;
if (height < 16) return TINYEXR_ERROR_INVALID_ARGUMENT;
EXRHeader header;
InitEXRHeader(&header);
EXRImage image;
InitEXRImage(&image);
image.num_channels = components;
std::vector<float> images[4];
images[0].resize(static_cast<size_t>(width * height));
images[1].resize(static_cast<size_t>(width * height));
images[2].resize(static_cast<size_t>(width * height));
images[3].resize(static_cast<size_t>(width * height));
// Split RGB(A)RGB(A)RGB(A)... into R, G and B(and A) layers
for (size_t i = 0; i < static_cast<size_t>(width * height); i++) {
images[0][i] = data[static_cast<size_t>(components) * i + 0];
images[1][i] = data[static_cast<size_t>(components) * i + 1];
images[2][i] = data[static_cast<size_t>(components) * i + 2];
if (components == 4) {
images[3][i] = data[static_cast<size_t>(components) * i + 3];
}
}
float *image_ptr[4] = {0, 0, 0, 0};
if (components == 4) {
image_ptr[0] = &(images[3].at(0)); // A
image_ptr[1] = &(images[2].at(0)); // B
image_ptr[2] = &(images[1].at(0)); // G
image_ptr[3] = &(images[0].at(0)); // R
} else {
image_ptr[0] = &(images[2].at(0)); // B
image_ptr[1] = &(images[1].at(0)); // G
image_ptr[2] = &(images[0].at(0)); // R
}
image.images = reinterpret_cast<unsigned char **>(image_ptr);
image.width = width;
image.height = height;
header.num_channels = components;
header.channels = static_cast<EXRChannelInfo *>(malloc(
sizeof(EXRChannelInfo) * static_cast<size_t>(header.num_channels)));
// Must be (A)BGR order, since most of EXR viewers expect this channel order.
if (components == 4) {
strncpy(header.channels[0].name, "A", 255);
header.channels[0].name[strlen("A")] = '\0';
strncpy(header.channels[1].name, "B", 255);
header.channels[1].name[strlen("B")] = '\0';
strncpy(header.channels[2].name, "G", 255);
header.channels[2].name[strlen("G")] = '\0';
strncpy(header.channels[3].name, "R", 255);
header.channels[3].name[strlen("R")] = '\0';
} else {
strncpy(header.channels[0].name, "B", 255);
header.channels[0].name[strlen("B")] = '\0';
strncpy(header.channels[1].name, "G", 255);
header.channels[1].name[strlen("G")] = '\0';
strncpy(header.channels[2].name, "R", 255);
header.channels[2].name[strlen("R")] = '\0';
}
header.pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(header.num_channels)));
header.requested_pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(header.num_channels)));
for (int i = 0; i < header.num_channels; i++) {
header.pixel_types[i] =
TINYEXR_PIXELTYPE_FLOAT; // pixel type of input image
header.requested_pixel_types[i] =
TINYEXR_PIXELTYPE_HALF; // pixel type of output image to be stored in
// .EXR
}
const char *err;
int ret = SaveEXRImageToFile(&image, &header, outfilename, &err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
free(header.channels);
free(header.pixel_types);
free(header.requested_pixel_types);
return ret;
}
#ifdef _MSC_VER
#pragma warning(pop)
#endif
#endif // TINYEXR_IMPLEMENTATION_DEIFNED
#endif // TINYEXR_IMPLEMENTATION
|
parallel_team.c | // RUN: %libomp-compile-and-run | %sort-threads | FileCheck %s
// REQUIRES: ompt, multicpu
// UNSUPPORTED: gcc
// Compilation fails for icc
// XFAIL: icc
#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]]
|
DRB099-targetparallelfor2-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "omprace.h"
#include <omp.h>
#include <stdio.h>
/*
use of omp target + map + array sections derived from pointers
*/
void foo (double* a, double* b, int N)
{
int i;
#pragma omp target map(to:a[0:N]) map(from:b[0:N])
#pragma omp parallel for
for (i=0;i< N ;i++)
b[i]=a[i]*(double)i;
}
int main(int argc, char* argv[])
{
omprace_init();
int i;
int len = 1000;
double a[len], b[len];
for (i=0; i<len; i++)
{
a[i]= ((double)i)/2.0;
b[i]=0.0;
}
foo(a, b, len);
printf("b[50]=%f\n",b[50]);
omprace_fini();
return 0;
}
|
LAGraph_cc_fastsv5b.c | //------------------------------------------------------------------------------
// LAGraph_cc_fastsv5b: connected components
//------------------------------------------------------------------------------
/*
LAGraph: graph algorithms based on GraphBLAS
Copyright 2020 LAGraph Contributors.
(see Contributors.txt for a full list of Contributors; see
ContributionInstructions.txt for information on how you can Contribute to
this project).
All Rights Reserved.
NO WARRANTY. THIS MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. THE LAGRAPH
CONTRIBUTORS MAKE NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED,
AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR
PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF
THE MATERIAL. THE CONTRIBUTORS DO NOT MAKE ANY WARRANTY OF ANY KIND WITH
RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT.
Released under a BSD license, please see the LICENSE file distributed with
this Software or contact permission@sei.cmu.edu for full terms.
Created, in part, with funding and support from the United States
Government. (see Acknowledgments.txt file).
This program includes and/or can make use of certain third party source
code, object code, documentation and other files ("Third Party Software").
See LICENSE file for more details.
*/
/**
* Code is based on the algorithm described in the following paper
* Zhang, Azad, Hu. FastSV: FastSV: A Distributed-Memory Connected Component
* Algorithm with Fast Convergence (SIAM PP20)
*
* Modified by Tim Davis, Texas A&M University
**/
// The input matrix A must be symmetric. Self-edges (diagonal entries) are
// OK, and are ignored. The values and type of A are ignored; just its
// pattern is accessed.
// The matrix A must have dimension 2^32 or less. If it is larger, use the
// 64-bit version of this method instead. TODO combine the two versions into a
// single user-callable code.
#include "LAGraph.h"
//------------------------------------------------------------------------------
// Reduce_assign32: w (index) += src, using MIN as the "+=" accum operator
//------------------------------------------------------------------------------
// mask = NULL, accumulator = GrB_MIN_UINT32, descriptor = NULL.
// Duplicates are summed with the accumulator, which differs from how
// GrB_assign works. GrB_assign states that the presence of duplicates results
// in undefined behavior. SuiteSparse:GraphBLAS follows the MATLAB rule, which
// discards all but the first of the duplicates. TODO: add this to GraphBLAS
// as a variant of GrB_assign, either as GxB_assign_accum (or another name),
// or as a GxB_* descriptor setting.
#define LAGRAPH_FREE_ALL
// hash table
const int P = 1024;
#define HASH(x) (((x << 4) + x) & 1023)
#define NEXT(x) ((x + 23) & 1023)
static inline void ht_init (int *ht_key, int *ht_val)
{
memset(ht_key, -1, sizeof(int) * P);
memset(ht_val, 0, sizeof(int) * P);
}
static inline void ht_sample (uint32_t *V32, int n, int samples, int *ht_key, int *ht_val)
{
for (int i = 0; i < samples; i++) {
int x = V32 [rand() % n];
int h = HASH (x);
while (ht_key [h] != -1 && ht_key [h] != x)
h = NEXT (h);
ht_key [h] = x;
ht_val [h] += 1;
}
}
static inline int ht_most_frequent (int *ht_key, int *ht_val)
{
int key = -1, val = 0;
for (int i = 0; i < P; i++)
if (ht_val [i] > val)
{
key = ht_key [i];
val = ht_val [i];
}
return key;
}
static inline GrB_Info Reduce_assign32
(
GrB_Vector *w_handle, // vector of size n, all entries present
GrB_Vector *s_handle, // vector of size n, all entries present
uint32_t *index, // array of size n
GrB_Index n,
int nthreads,
int *ht_key,
int *ht_val
)
{
GrB_Type w_type, s_type ;
GrB_Index w_n, s_n, w_nvals, s_nvals, *w_i, *s_i ;
uint32_t *w_x, *s_x ;
LAGr_Vector_export (w_handle, &w_type, &w_n, &w_nvals, &w_i,
(void **) &w_x, NULL) ;
LAGr_Vector_export (s_handle, &s_type, &s_n, &s_nvals, &s_i,
(void **) &s_x, NULL) ;
if (nthreads >= 4)
{
uint32_t *mem = LAGraph_malloc (nthreads * P, sizeof (uint32_t));
ht_init (ht_key, ht_val) ;
ht_sample (index, n, 864, ht_key, ht_val) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
uint32_t *buf = mem + t * P;
for (int h = 0; h < P; h++)
{
if (ht_key [h] != -1)
{
buf [h] = w_x [ht_key [h]];
}
}
int st = (n * t + nthreads - 1) / nthreads;
int ed = (n * t + n + nthreads - 1) / nthreads;
for (int k = st ; k < ed ; k++)
{
uint32_t i = index [k] ;
int h = HASH(i);
while (ht_key [h] != -1 && ht_key [h] != i)
{
h = NEXT (h);
}
if (ht_key [h] == -1)
{
w_x [i] = LAGRAPH_MIN (w_x [i], s_x [k]);
}
else
{
buf [h] = LAGRAPH_MIN (buf [h], s_x [k]);
}
}
}
for (int h = 0; h < P; h++)
{
int i = ht_key [h];
if (i != -1)
{
for (int j = 0; j < nthreads; j++)
{
w_x [i] = LAGRAPH_MIN (w_x [i], mem [j * P + h]);
}
}
}
LAGRAPH_FREE (mem);
}
else
{
// sequential version, to avoid atomics
for (GrB_Index k = 0 ; k < n ; k++)
{
uint32_t i = index [k] ;
w_x [i] = LAGRAPH_MIN (w_x [i], s_x [k]) ;
}
}
LAGr_Vector_import (w_handle, w_type, w_n, w_nvals, &w_i,
(void **) &w_x, NULL) ;
LAGr_Vector_import (s_handle, s_type, s_n, s_nvals, &s_i,
(void **) &s_x, NULL) ;
return (GrB_SUCCESS) ;
}
#undef LAGRAPH_FREE_ALL
#define LAGRAPH_FREE_ALL \
{ \
LAGRAPH_FREE (I) ; \
LAGRAPH_FREE (V32) ; \
LAGRAPH_FREE (ht_key) ; \
LAGRAPH_FREE (ht_val) ; \
LAGr_free (&f) ; \
LAGr_free (&gp) ; \
LAGr_free (&mngp) ; \
LAGr_free (&gp_new) ; \
LAGr_free (&mod) ; \
}
//------------------------------------------------------------------------------
// LAGraph_cc_fastsv5
//------------------------------------------------------------------------------
GrB_Info LAGraph_cc_fastsv5b
(
GrB_Vector *result, // output: array of component identifiers
GrB_Matrix *A, // input matrix
// content remains the same, but pointer changes
bool sanitize // if true, ensure A is symmetric
)
{
GrB_Info info ;
uint32_t *V32 = NULL ;
int *ht_key = NULL, *ht_val = NULL;
GrB_Index n, nnz, *I = NULL ;
GrB_Vector f = NULL, gp_new = NULL, mngp = NULL, mod = NULL, gp = NULL ;
GrB_Matrix S = NULL, T = NULL ;
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
LAGr_Matrix_nrows (&n, *A) ;
LAGr_Matrix_nvals (&nnz, *A) ;
if (n > UINT32_MAX)
{
LAGRAPH_ERROR ("problem too large; use 64-bit version instead",
GrB_INVALID_VALUE) ;
}
#define FASTSV_SAMPLES 4
GxB_Format_Value format;
LAGRAPH_OK (GxB_get (*A , GxB_FORMAT, &format)) ;
bool sampling = (format == GxB_BY_ROW) && (n * FASTSV_SAMPLES * 2 < nnz);
if (sanitize)
{
// S = A | A'
LAGr_Matrix_new (&S, GrB_BOOL, n, n) ;
LAGr_eWiseAdd (S, NULL, NULL, GrB_LOR, *A, *A, LAGraph_desc_otoo) ;
}
else
{
// Use the input as-is, and assume it is symmetric
// LAGr_Matrix_dup (&S, A) ;
S = *A;
}
//--------------------------------------------------------------------------
// initializations
//--------------------------------------------------------------------------
// determine # of threads to use for Reduce_assign
int nthreads = LAGraph_get_nthreads ( ) ;
nthreads = LAGRAPH_MIN (nthreads, n / 16) ;
nthreads = LAGRAPH_MAX (nthreads, 1) ;
// # of threads to use for typecast
int nthreads2 = n / (64*1024) ;
nthreads2 = LAGRAPH_MIN (nthreads2, nthreads) ;
nthreads2 = LAGRAPH_MAX (nthreads2, 1) ;
// printf ("nthreads %d nthreads2 %d\n", nthreads, nthreads2) ;
// vectors
LAGr_Vector_new (&f, GrB_UINT32, n) ;
LAGr_Vector_new (&gp_new, GrB_UINT32, n) ;
LAGr_Vector_new (&mod, GrB_BOOL, n) ;
// temporary arrays
I = LAGraph_malloc (n, sizeof (GrB_Index)) ;
V32 = LAGraph_malloc (n, sizeof (uint32_t)) ;
// prepare vectors
#pragma omp parallel for num_threads(nthreads2) schedule(static)
for (GrB_Index i = 0 ; i < n ; i++)
{
I [i] = i ;
V32 [i] = (uint32_t) i ;
}
LAGr_Vector_build (f, I, V32, n, GrB_PLUS_UINT32) ;
LAGr_Vector_dup (&gp, f) ;
LAGr_Vector_dup (&mngp, f) ;
ht_key = LAGraph_malloc (P, sizeof (int));
ht_val = LAGraph_malloc (P, sizeof (int));
//--------------------------------------------------------------------------
// main computation
//--------------------------------------------------------------------------
if (sampling)
{
GrB_Type type;
GrB_Index nrows, ncols, nvals;
int64_t nonempty;
GrB_Index *Sp, *Sj;
void *Sx;
GxB_Matrix_export_CSR (&S, &type, &nrows, &ncols, &nvals,
&nonempty, &Sp, &Sj, &Sx, NULL);
GrB_Index *Tp = LAGraph_malloc (nrows+1, sizeof (GrB_Index)) ;
GrB_Index *Tj = LAGraph_malloc (nvals, sizeof (GrB_Index)) ;
void *Tx = LAGraph_malloc (nvals, 1) ;
int *range = LAGraph_malloc (nthreads + 1, sizeof (int)) ;
GrB_Index *count = LAGraph_malloc (nthreads + 1, sizeof (GrB_Index)) ;
memset (count, 0, sizeof (GrB_Index) * (nthreads + 1)) ;
for (int i = 0; i <= nthreads; i++)
{
range [i] = (n * i + nthreads - 1) / nthreads;
}
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
for (int i = range[t]; i < range[t + 1]; i++)
{
int deg = Sp [i + 1] - Sp [i];
count [t + 1] += LAGRAPH_MIN (FASTSV_SAMPLES, deg) ;
}
}
for (int i = 0; i < nthreads; i++)
{
count [i + 1] += count [i];
}
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
GrB_Index p = count [t];
Tp [range [t]] = p;
for (int i = range[t]; i < range[t + 1]; i++)
{
for (int j = 0; j < FASTSV_SAMPLES && Sp [i] + j < Sp [i + 1];
j++)
{
Tj [p++] = Sj [Sp [i] + j];
}
Tp [i + 1] = p;
}
}
GrB_Index t_nvals = Tp[nrows];
GxB_Matrix_import_CSR (&T, type, nrows, ncols, t_nvals,
-1, &Tp, &Tj, &Tx, NULL);
bool change = true, is_first = true;
while (change)
{
// hooking & shortcutting
LAGr_mxv (mngp, NULL, GrB_MIN_UINT32, GxB_MIN_SECOND_UINT32, T, gp,
NULL) ;
if (!is_first)
{
LAGRAPH_OK (Reduce_assign32 (&f, &mngp, V32, n, nthreads, ht_key, ht_val)) ;
}
// old:
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, mngp, NULL) ;
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, gp, NULL) ;
// new:
LAGr_eWiseAdd (f, NULL, GrB_MIN_UINT32, GrB_MIN_UINT32, mngp, gp,
NULL) ;
// calculate grandparent
LAGr_Vector_extractTuples (NULL, V32, &n, f) ;
#pragma omp parallel for num_threads(nthreads2) schedule(static)
for (uint32_t i = 0 ; i < n ; i++)
{
I [i] = (GrB_Index) V32 [i] ;
}
LAGr_extract (gp_new, NULL, NULL, f, I, n, NULL) ;
// check termination
LAGr_eWiseMult (mod, NULL, NULL, GrB_NE_UINT32, gp_new, gp, NULL) ;
LAGr_reduce (&change, NULL, GxB_LOR_BOOL_MONOID, mod, NULL) ;
// swap gp and gp_new
GrB_Vector t = gp ; gp = gp_new ; gp_new = t ;
is_first = false;
}
ht_init(ht_key, ht_val) ;
ht_sample (V32, n, 864, ht_key, ht_val) ;
int key = ht_most_frequent(ht_key, ht_val) ;
int64_t t_nonempty;
GxB_Matrix_export_CSR (&T, &type, &nrows, &ncols, &t_nvals,
&t_nonempty, &Tp, &Tj, &Tx, NULL);
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
GrB_Index ptr = Sp[range[t]];
for (int v = range[t]; v < range[t + 1]; v++)
{
int pv = V32 [v];
Tp [v] = ptr;
if (pv != key)
{
for (GrB_Index i = Sp [v]; i < Sp [v + 1]; i++)
{
int u = Sj [i];
if (V32 [u] != key)
{
Tj [ptr++] = u;
}
}
if (ptr - Tp[v] < Sp [v + 1] - Sp [v])
{
Tj [ptr++] = key;
}
}
}
count[t] = ptr - Tp [range [t]];
}
GrB_Index offset = 0;
for (int i = 0; i < nthreads; i++)
{
memcpy(Tj + offset, Tj + Tp [range [i]], sizeof(GrB_Index) * count[i]);
offset += count[i];
count[i] = offset - count[i];
}
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
GrB_Index ptr = Tp [range [t]];
for (int v = range[t]; v < range[t + 1]; v++)
{
Tp [v] -= ptr - count[t];
}
}
Tp [n] = offset;
LAGRAPH_FREE (count);
LAGRAPH_FREE (range);
GxB_Matrix_import_CSR (&S, type, nrows, ncols, nvals,
nonempty, &Sp, &Sj, &Sx, NULL);
GxB_Matrix_import_CSR (&T, type, nrows, ncols, offset,
-1, &Tp, &Tj, &Tx, NULL);
}
else
{
T = S;
}
LAGr_Matrix_nvals (&nnz, T);
bool change = true;
while (change && nnz > 0)
{
// hooking & shortcutting
LAGr_mxv (mngp, NULL, GrB_MIN_UINT32, GxB_MIN_SECOND_UINT32, T, gp,
NULL) ;
LAGRAPH_OK (Reduce_assign32 (&f, &mngp, V32, n, nthreads, ht_key, ht_val)) ;
// old:
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, mngp, NULL) ;
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, gp, NULL) ;
// new:
LAGr_eWiseAdd (f, NULL, GrB_MIN_UINT32, GrB_MIN_UINT32, mngp, gp, NULL);
// calculate grandparent
LAGr_Vector_extractTuples (NULL, V32, &n, f) ;
#pragma omp parallel for num_threads(nthreads2) schedule(static)
for (uint32_t i = 0 ; i < n ; i++)
{
I [i] = (GrB_Index) V32 [i] ;
}
LAGr_extract (gp_new, NULL, NULL, f, I, n, NULL) ;
// check termination
LAGr_eWiseMult (mod, NULL, NULL, GrB_NE_UINT32, gp_new, gp, NULL) ;
LAGr_reduce (&change, NULL, GxB_LOR_BOOL_MONOID, mod, NULL) ;
// swap gp and gp_new
GrB_Vector t = gp ; gp = gp_new ; gp_new = t ;
}
//--------------------------------------------------------------------------
// free workspace and return result
//--------------------------------------------------------------------------
*result = f ;
f = NULL ;
if (!sanitize)
{
*A = S;
}
else
{
LAGr_free (&S) ;
}
if (sampling)
{
LAGr_free (&T) ;
}
LAGRAPH_FREE_ALL ;
return (GrB_SUCCESS) ;
}
|
GB_unop__identity_uint16_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_uint16_int32)
// op(A') function: GB (_unop_tran__identity_uint16_int32)
// C type: uint16_t
// A type: int32_t
// cast: uint16_t cij = (uint16_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
uint16_t z = (uint16_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint16_t z = (uint16_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_UINT16 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_uint16_int32)
(
uint16_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] ;
uint16_t z = (uint16_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] ;
uint16_t z = (uint16_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_uint16_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
|
shape.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
******************************************************************************/
/*
* 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_SHAPEINFOLENGTH 2*MAX_RANK+4
#define MAX_COORD 3
#define PREALLOC_SIZE 33554432
#ifdef __CUDACC__
#include <cuda.h>
#include <cuda_runtime.h>
#endif
#ifdef __CUDACC__
#define INLINEDEF inline
#else
#define INLINEDEF inline
#endif
#include "../pairwise_util.h"
#include <stdint.h>
#include <array/ArrayOptions.h>
typedef unsigned int uint;
namespace shape {
/**
* Shape information approximating
* the information on an ndarray
*/
struct ND4J_EXPORT ShapeInformation {
_CUDA_HD ShapeInformation(Nd4jLong *shape_ = nullptr, Nd4jLong *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_)
{}
Nd4jLong *shape;
Nd4jLong *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;
};
ND4J_EXPORT _CUDA_HD bool shapeEquals(const int shape1Rank, const Nd4jLong *shape1, const int shape2Rank, const Nd4jLong *shape2);
ND4J_EXPORT _CUDA_HD Nd4jLong* detachShape(Nd4jLong *originalShape);
ND4J_EXPORT _CUDA_HD Nd4jLong* copyShape(Nd4jLong *originalShape);
ND4J_EXPORT _CUDA_HD bool shapeEquals(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2);
ND4J_EXPORT _CUDA_HD bool shapeEquals(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2, const Nd4jLong *shapeInfo3);
ND4J_EXPORT _CUDA_HD bool strideEquals(int shape1Rank,Nd4jLong *shape1,int shape2Rank,Nd4jLong *shape2);
ND4J_EXPORT _CUDA_HD bool strideEquals(Nd4jLong *shapeInfo1,Nd4jLong *shapeInfo2);
ND4J_EXPORT _CUDA_HD bool strideEquals(Nd4jLong *stride1,int rank1,Nd4jLong *stride2,int rank2);
ND4J_EXPORT _CUDA_HD bool equalsSoft(const Nd4jLong *shapeA, const Nd4jLong *shapeB);
ND4J_EXPORT _CUDA_HD bool equalsTypesAndShapesSoft(const Nd4jLong *shapeA, const Nd4jLong *shapeB);
ND4J_EXPORT _CUDA_HD bool equalsStrict(const Nd4jLong *shapeA, const Nd4jLong *shapeB);
// returns true if ranks, shapes and strides are the same
ND4J_EXPORT _CUDA_HD bool haveSameShapeAndStrides(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2);
ND4J_EXPORT _CUDA_HD bool haveSameShapeAndStrides(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2, const Nd4jLong *shapeInfo3);
ND4J_EXPORT _CUDA_HD int sizeAt(const Nd4jLong *shape, const int dim);
template <typename T>
ND4J_EXPORT _CUDA_HD void fill(T* buffer, T value, Nd4jLong length);
ND4J_EXPORT _CUDA_HD void traceNew(int id);
ND4J_EXPORT _CUDA_HD int tadIndexForLinear(int linearIndex, int tadLength);
ND4J_EXPORT _CUDA_HD int tadLength(Nd4jLong *shapeInfo, int *dimension, int dimensionLength);
ND4J_EXPORT _CUDA_HD bool canReshape(const int oldRank, Nd4jLong* oldShape, const int newRank, Nd4jLong* newShape, bool isFOrder);
ND4J_EXPORT _CUDA_HD bool reshapeC(const int oldRank, const Nd4jLong* oldShapeInfo, const int newRank, const Nd4jLong* newShape, Nd4jLong* newShapeInfo);
/**
* Get the shape info buffer
* for the given rank and shape.
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeBuffer(int rank, nd4j::DataType dtype, Nd4jLong *shape);
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeBuffer(int rank, nd4j::DataType dtype, Nd4jLong *shape, Nd4jLong *buffer);
/**
* Get the shape info buffer
* for the given rank and shape.
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeBufferFortran(int rank, nd4j::DataType dtype, Nd4jLong *shape);
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeBufferFortran(int rank, nd4j::DataType dtype, Nd4jLong *shape, Nd4jLong *output);
#ifdef __CUDACC__
__device__ ND4J_EXPORT Nd4jLong *cuMalloc(Nd4jLong *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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong *shape, int rank);
ND4J_EXPORT _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong *shape, int rank, Nd4jLong* 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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong* calcStrides(Nd4jLong *shape, int rank);
ND4J_EXPORT _CUDA_HD Nd4jLong* calcStrides(Nd4jLong *shape, int rank, Nd4jLong* ret);
ND4J_EXPORT _CUDA_HD void updateStrides(Nd4jLong *shape, const char order);
ND4J_EXPORT _CUDA_HD void updateStrides(const int rank, const Nd4jLong *shapeOnly, Nd4jLong *stridesOnly, const char order);
// check whether input dimensions are permuted, not permuted dimensions order have to be 0,....,rank-1
template <typename T>
ND4J_EXPORT _CUDA_HD bool isDimPermuted(const T* 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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong* calcStridesFortran(Nd4jLong *shape, int rank, int startNum);
ND4J_EXPORT _CUDA_HD Nd4jLong* calcStridesFortran(Nd4jLong *shape, int rank, int startNum, Nd4jLong* 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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong* calcStrides(Nd4jLong *shape, int rank, int startNum);
ND4J_EXPORT _CUDA_HD Nd4jLong* calcStrides(Nd4jLong *shape, int rank, int startNum, Nd4jLong* ret);
/**
* @param toCopy the shape to copy
* @return a copy of the original struct
*/
ND4J_EXPORT _CUDA_HD ShapeInformation *shapeCopy( ShapeInformation *toCopy);
ND4J_EXPORT _CUDA_HD bool strideDescendingCAscendingF(const Nd4jLong *shapeBuffer);
ND4J_EXPORT _CUDA_HD bool isContiguous(const Nd4jLong* shapeInfo);
/**
* copy-past from java hasDefaultStridesForShape function
* check whether array is not permuted and has contiguous elements in memory
*/
ND4J_EXPORT _CUDA_HD bool areStridesDefault(const Nd4jLong* shapeInfo);
/**
* 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 0 if there is no element wise stride the
* element wise stride of reshape(1,length) otherwise
*/
ND4J_EXPORT _CUDA_HD int computeElementWiseStride(int rank, Nd4jLong *shape, Nd4jLong *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 0 if there is no element wise stride the
* element wise stride of reshape(1,length) otherwise
*/
ND4J_EXPORT _CUDA_HD int computeElementWiseStride(int rank, Nd4jLong *shape, Nd4jLong *stride, int isFOrder, Nd4jLong *dimension, int dimensionLength);
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeInfoOnlyShapeAndStride(Nd4jLong *shapeInfo, Nd4jLong *dimension, int dimensionLength,bool reverseCopyStride);
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeInfoOnlyShapeAndStride(Nd4jLong *shapeInfo, Nd4jLong *dimension, int dimensionLength,bool reverseCopyStride, Nd4jLong *buffer);
/**
*
* @param length
* @param shape
* @param rearrange
* @return
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *doPermuteSwap(int length, Nd4jLong *shape, int* rearrange);
/**
* In place permute swap
* @param length
* @param shape
* @param rearrange
*/
ND4J_EXPORT _CUDA_HD void doPermuteSwap(int length, Nd4jLong **shape, int* rearrange);
ND4J_EXPORT _CUDA_HD Nd4jLong *permuteShapeBuffer(Nd4jLong *shapeBuffer, int* rearrange);
ND4J_EXPORT _CUDA_HD void permuteShapeBufferInPlace(Nd4jLong *shapeBuffer, int* rearrange, Nd4jLong *out);
ND4J_EXPORT _CUDA_HD void doPermuteShapeInfo(Nd4jLong *shapeBuffer, const int *rearrange, Nd4jLong len = -1);
/**
* 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.
*/
ND4J_EXPORT _CUDA_HD Nd4jLong* createPermuteIndexes(int originalRank, int *dimension,int dimensionLength);
ND4J_EXPORT _CUDA_HD Nd4jLong* computeResultShape(Nd4jLong *originalShapeBuffer, int *dimension,int dimensionLength);
/**
* This method does inplace transpose of given shapeBuffer
*
* @param shapeBuffer
*/
ND4J_EXPORT _CUDA_HD void transposeInplace(Nd4jLong *shapeBuffer);
/**
* Get the ordering for the device
* @param length
* @param shape
* @param stride
* @param elementStride
* @return
*/
ND4J_EXPORT _CUDA_HD char getOrder(int length, Nd4jLong *shape, Nd4jLong *stride, int elementStride);
/**
* Ensure that every value in the re arrange
* array is unique
* @param arr
* @param shape
* @param arrLength
* @param shapeLength
* @return
*/
template <typename T>
ND4J_EXPORT _CUDA_HD int checkArrangeArray(T *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
*/
ND4J_EXPORT _CUDA_HD 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
*/
ND4J_EXPORT _CUDA_HD int isVector(Nd4jLong *shape, int rank);
/**
* When 1 dimension is the whole length of the
* array
*/
ND4J_EXPORT _CUDA_HD int oneDimEqualToLength(Nd4jLong *shape, int rank);
ND4J_EXPORT _CUDA_HD int oneDimEqualToLength(Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD int isVector(const Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD bool isLikeVector(Nd4jLong *shapeInfo, int& posOfNonUnityDim);
ND4J_EXPORT _CUDA_HD bool isCommonVector(const Nd4jLong *shapeInfo, int& posOfNonUnityDim);
ND4J_EXPORT _CUDA_HD bool isRowVector(const Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD bool isColumnVector(Nd4jLong *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
*/
ND4J_EXPORT _CUDA_HD int isMatrix(Nd4jLong *shape, int rank);
INLINEDEF _CUDA_HD int isMatrix(Nd4jLong *shapeInfo);
/**
* Returns the shape portion of an information
* buffer
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeOf(Nd4jLong *buffer);
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
template <typename T>
ND4J_EXPORT _CUDA_HD T* copyOf(Nd4jLong length, T *toCopy);
template <typename T>
ND4J_EXPORT _CUDA_HD T* copyOf(Nd4jLong length, T *toCopy, T *ret);
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
template <typename T>
ND4J_EXPORT _CUDA_HD void copyTo(Nd4jLong length, T *from, T *to);
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
ND4J_EXPORT _CUDA_HD void copyTo(int length, Nd4jLong *from, Nd4jLong *to, Nd4jLong *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
*/
//ND4J_EXPORT _CUDA_HD Nd4jLong *permutedStrides(Nd4jLong *toPermute, int shapeRank, Nd4jLong *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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *slice(Nd4jLong *shape);
ND4J_EXPORT _CUDA_HD int slices(Nd4jLong *shapeBuffer);
ND4J_EXPORT _CUDA_HD Nd4jLong *sliceOfShapeBuffer(Nd4jLong sliceIdx, Nd4jLong *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
*/
ND4J_EXPORT _CUDA_HD int shapeInfoLength(int rank);
ND4J_EXPORT _CUDA_HD int shapeInfoLength(Nd4jLong* shapeInfo);
ND4J_EXPORT _CUDA_HD int shapeInfoLength(const Nd4jLong* shapeInfo);
ND4J_EXPORT _CUDA_HD size_t shapeInfoByteLength(int rank);
ND4J_EXPORT _CUDA_HD size_t shapeInfoByteLength(const Nd4jLong* shapeInfo);
ND4J_EXPORT _CUDA_HD size_t shapeInfoByteLength(const Nd4jLong* shapeInfo);
/**
* Returns the rank portion of
* an information buffer
*/
ND4J_EXPORT _CUDA_HD int rank(const Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD int rank(const int *shapeInfo);
ND4J_EXPORT _CUDA_HD int rank(const unsigned int *shapeInfo);
// returns pointer on elementWiseStride
ND4J_EXPORT _CUDA_HD Nd4jLong* ews(Nd4jLong* shapeInfo);
/**
* Converts a raw int buffer of the layout:
* rank
* shape
* stride
* offset
* elementWiseStride
*
* where shape and stride are both straight int pointers
*/
ND4J_EXPORT _CUDA_HD ShapeInformation *infoFromBuffer(Nd4jLong *buffer);
/**
* Returns the stride portion of an information
* buffer
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *stride(Nd4jLong *buffer);
/**
* Compute the length of the given shape
*/
ND4J_EXPORT _CUDA_HD bool isEmpty(const Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD Nd4jLong length(const Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD Nd4jLong length(std::initializer_list<int>& shape);
ND4J_EXPORT _CUDA_HD Nd4jLong length(std::initializer_list<Nd4jLong>& shape);
/***
* Returns the offset portion of an information buffer
*/
ND4J_EXPORT _CUDA_HD Nd4jLong offset(Nd4jLong *buffer);
ND4J_EXPORT _CUDA_HD Nd4jLong& extra(Nd4jLong *buffer);
/**
* Returns the ordering
* for this shape information buffer
*/
ND4J_EXPORT _CUDA_HD char order(const Nd4jLong *buffer);
/**
* Returns the type
*/
ND4J_EXPORT _CUDA_HD Nd4jLong type(const Nd4jLong* shapeInfo);
/**
* Returns the element wise stride for this information
* buffer
*/
ND4J_EXPORT _CUDA_HD Nd4jLong elementWiseStride(const Nd4jLong *buffer);
/**
* Returns the element wise stride for this information
* buffer
* relative to a dimension and ordering for a reduction index
*/
ND4J_EXPORT _CUDA_HD Nd4jLong reductionIndexElementWiseStride(Nd4jLong *buffer, int *dimension, int dimensionLength);
/**
* Returns whether
* the given shape info buffer
* represents a scalar shape
*/
ND4J_EXPORT _CUDA_HD int isScalar(Nd4jLong *info);
/**
* Returns whether
* the given shape information
* represents a scalar
* shape or not
*/
ND4J_EXPORT _CUDA_HD 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
*/
template <typename T1, typename T2>
ND4J_EXPORT _CUDA_HD void removeIndex(T1 *data, T2 *indexes, Nd4jLong dataLength, Nd4jLong indexesLength, T1 *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
*/
template <typename T1, typename T2>
ND4J_EXPORT _CUDA_HD T1* removeIndex(T1 *data, T2 *indexes, Nd4jLong dataLength, Nd4jLong 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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong* everyIndexBut(Nd4jLong *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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong* ensureVectorShape(Nd4jLong *shape);
ND4J_EXPORT _CUDA_HD Nd4jLong* createScalarShapeInfo();
ND4J_EXPORT _CUDA_HD Nd4jLong* createScalarShapeInfo(Nd4jLong *ret);
/**
* Generate an int buffer
* up to the given length
* at the specified increment
*
*/
template <typename T>
ND4J_EXPORT _CUDA_HD T* range(int from, int to, int increment);
/**
* Range between from and two with an
* increment of 1
*/
template <typename T>
ND4J_EXPORT _CUDA_HD T* range(int from, int to);
/**
* Keep the given indexes
* in the data
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *keep(volatile Nd4jLong *data, int* index, int indexLength, int dataLength);
/**
* Generate reverse copy of the data
* @param data
* @param length
* @return
*/
template <typename T>
ND4J_EXPORT _CUDA_HD T* reverseCopy(T *data, Nd4jLong length);
template <typename T>
ND4J_EXPORT _CUDA_HD void reverseCopyTo(T *from, T *to, Nd4jLong length);
template <typename T>
ND4J_EXPORT _CUDA_HD void reverseCopyTo(T *from, T *to, Nd4jLong *indexes, Nd4jLong length);
template <typename T1, typename T2>
ND4J_EXPORT _CUDA_H void convertT(T1 *from, T2 *to, Nd4jLong length);
/**
*
* @param arr1
* @param arr1Length
* @param arr2
* @param arr2Length
* @return
*/
template <typename T>
ND4J_EXPORT _CUDA_HD T* concat(T* arr1, Nd4jLong arr1Length, T* arr2, Nd4jLong arr2Length);
/**
*
* @param numArrays
* @param numTotalElements
* @param arr
* @param lengths
* @return
*/
template <typename T>
ND4J_EXPORT _CUDA_HD T* concat(int numArrays, int numTotalElements, Nd4jLong **arr, Nd4jLong *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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong lengthPerSlice(int rank, Nd4jLong *shape, int *dimension, int dimensionLength);
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
ND4J_EXPORT _CUDA_HD Nd4jLong sliceOffsetForTensor(int rank,
int index,
Nd4jLong *shape,
Nd4jLong *tensorShape,
int tensorShapeLength,
int *dimension,
int dimensionLength);
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
ND4J_EXPORT _CUDA_HD Nd4jLong 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
*/
// ND4J_EXPORT _CUDA_HD int offset(int index,
// int rank,
// shape::ShapeInformation *info,
// Nd4jLong *dimension,
// int dimensionLength);
/**
* Computes the number
* of tensors along
* a given dimension
*/
ND4J_EXPORT _CUDA_HD Nd4jLong tensorsAlongDimension(int rank,
volatile int length,
volatile Nd4jLong *shape,
int *dimension,
int dimensionLength);
/**
* Computes the number
* of tensors along
* a given dimension
*/
ND4J_EXPORT _CUDA_HD Nd4jLong tensorsAlongDimension(Nd4jLong *shapeInfo, int *dimension, int dimensionLength);
/**
* Returns the tensor along dimension
* for the given block index
* @param blockSize
* @param blockIdx
* @param i
* @return
*/
ND4J_EXPORT _CUDA_HD int tadForBlockIndex(int blockSize, int blockIdx, int i);
/**
* Computes the number of tads per block
*
*/
ND4J_EXPORT _CUDA_HD int tadsPerBlock(int blockSize, int tads);
// ND4J_EXPORT _CUDA_HD Nd4jLong *tadShapeInfo(int index, Nd4jLong *xShapeInfo, Nd4jLong *dimension,
// int dimensionLength);
/**
* Returns a shape buffer
* for the shape information metadata.
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *toShapeBuffer( ShapeInformation *info);
ND4J_EXPORT _CUDA_HD Nd4jLong *toShapeBuffer( ShapeInformation *info, Nd4jLong* 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
*/
ND4J_EXPORT _CUDA_HD 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)
*/
ND4J_EXPORT _CUDA_HD int reductionIndexForTad(int tadIndexForOriginal, int tadsForReduced,
int tadsForOriginal);
/**
* Computes the number of tads
* per reduce index for the
* reduction tad.
*/
ND4J_EXPORT _CUDA_HD 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
*/
ND4J_EXPORT _CUDA_HD int reductionIndexForLinear(int i, int elementWiseStride, int numElementsPerTad,
int tadNum, int originalTadNum);
/**
* Returns the prod of the data
* up to the given length
*/
ND4J_EXPORT _CUDA_HD int prod(Nd4jLong *data, int length);
ND4J_EXPORT _CUDA_HD Nd4jLong prodLong(const Nd4jLong *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
*/
// ND4J_EXPORT _CUDA_HD int rearMostLeftOverItem(Nd4jLong *data,int length,Nd4jLong *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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong getOffset(Nd4jLong baseOffset, const Nd4jLong *shape, const Nd4jLong *stride, const Nd4jLong *indices,int rank);
ND4J_EXPORT _CUDA_HD Nd4jLong* createShapeInfo(Nd4jLong *shape, Nd4jLong *stride, int rank);
ND4J_EXPORT _CUDA_HD Nd4jLong* createShapeInfo(Nd4jLong *shape, Nd4jLong *stride, int rank, Nd4jLong *buffer);
// Convert a linear index to the corresponding coordinates
// for example if shape is {2, 4}, then index 5 corresponds to following coordinates
// -> [1, 1] in case of c order
// -> [1, 2] in case of f order
ND4J_EXPORT _CUDA_HD void index2coords(const int rank, const Nd4jLong *shape, Nd4jLong index, Nd4jLong arrLen, Nd4jLong *coords, const char order = 'c');
ND4J_EXPORT _CUDA_HD void index2coords(const int rank, const Nd4jLong *shape, Nd4jLong index, Nd4jLong *coords, const char order = 'c');
/**
* 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
*/
ND4J_EXPORT _CUDA_HD Nd4jLong sub2Ind(const int rank, const Nd4jLong *shape, const Nd4jLong *indices);
/**
* increment n-dimensional array by one iteration by changing coord appropriately
* for example we have array with shape {2, 3}:
* - if input coord = {0,1}, then output coord = {0,2}
* - if input coord = {0,2}, then output coord = {1,0}
* so the aim is to produce following subsequence of coord: {0,0}, {0,1}, {0,2}, {1,0}, {1,1}, {1,2}
*/
/* calculates an array buffer offset for given "index" using following formula: offset = coord_0*stride_0 + coord_1*stride_1 + ... + coord_{rank-1}*stride_{rank-1}
* arrLen - array length
*/
ND4J_EXPORT _CUDA_HD uint getIndexOffset(uint index, const uint *shapeInfo, uint arrLen);
ND4J_EXPORT _CUDA_HD Nd4jLong getIndexOffset(Nd4jLong index, const Nd4jLong *shapeInfo, Nd4jLong arrLen);
ND4J_EXPORT _CUDA_HD Nd4jLong getIndexOrderOffset(Nd4jLong index, const Nd4jLong *shapeInfo, Nd4jLong arrLen, const char order);
ND4J_EXPORT _CUDA_HD Nd4jLong indexOffset(Nd4jLong index, const Nd4jLong* lShapeInfo, const uint* uShapeInfo, Nd4jLong arrLen, const bool useUnsigned);
/**
* Compute the real linear indices for the given shape and stride
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *computeIndices(int rank, Nd4jLong *shape, Nd4jLong *stride);
/**
* Compute the real linear indices for the
* given shape buffer. Shape,stride and rank are derived
* from the buffer
*/
ND4J_EXPORT _CUDA_HD Nd4jLong *computeIndices( Nd4jLong *shapeBuffer);
ND4J_EXPORT _CUDA_HD void printShapeInfo(Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD void printShapeInfoLinear(const Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD void printShapeInfoLinear(const char *msg, const Nd4jLong *shapeInfo);
ND4J_EXPORT _CUDA_HD void printShapeInfoLinear(const char *msg, int rank, const Nd4jLong *shape, const Nd4jLong *strides);
ND4J_EXPORT _CUDA_HD void printIntArray(const Nd4jLong *arr, const int length);
ND4J_EXPORT _CUDA_HD void printIntArray(const int *arr, const int length);
ND4J_EXPORT _CUDA_HD void printArray(float *arr,int length);
template<typename T>
ND4J_EXPORT _CUDA_HD void printArray(T *arr,int length, const char *message);
ND4J_EXPORT _CUDA_HD Nd4jLong* shapeBufferOfNpy(int rank, unsigned int *shape,bool fortranOrder);
ND4J_EXPORT _CUDA_HD Nd4jLong *shapeBufferOfNpy(cnpy::NpyArray arr);
// ND4J_EXPORT _CUDA_HD Nd4jLong *shapeBufferOfNpyBuffer(char *buffer);
// 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 _CUDA_H void checkDimensions(const int rank, std::vector<int>& dimensions);
// function calculates linear index of array min, min is sub-array of max, index to be returned is min-array's index and corresponds to maxIdx of max array
// dimsToExclude - should be sorted in increasing order
ND4J_EXPORT _CUDA_HD Nd4jLong subArrayIndex(const Nd4jLong maxIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude = nullptr, const int dimsLen = -1);
// function calculates absolute offset of min array, min is sub-array of max, offset to be returned corresponds to maxIdx of max array
// dimsToExclude - should be sorted in increasing order
ND4J_EXPORT _CUDA_HD Nd4jLong subArrayOffset(const Nd4jLong maxIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude = nullptr, const int dimsLen = -1);
// max array is outer for min array, min array is sub-array of max array
// function calculates the coordinates of min array (and saves them into minIdxs) given coordinates of max array (already stored in maxIdxs)
// dimsToExclude - should be sorted in increasing order
// dimsLen - length of dimsToExclude, if not set (= -1), then it is calculated as maxRank - minRank
ND4J_EXPORT _CUDA_HD void maxIndToMinInd(Nd4jLong* maxIdxs, Nd4jLong* minIdxs, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude = nullptr, const int dimsLen = -1);
// calculate indexes of max-array, these output indexes correspond to one minIdx index of min-array which is sub-array of max-array
// dimsToExclude - should be sorted in increasing order
ND4J_EXPORT _CUDA_HD int outerArrayIndexes(Nd4jLong* maxIdxs, const Nd4jLong minIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude = nullptr);
// calculate offsets of max-array, these output offsets correspond to one minIdx index of min-array which is sub-array of max-array
// dimsToExclude - should be sorted in increasing order
ND4J_EXPORT _CUDA_HD int outerArrayOffsets(Nd4jLong* maxOffsets, const Nd4jLong minIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude = nullptr);
// calculates offsets for entities (elements or sub-arrays), shape in context of sub-array means dimensions excluded from outer array
// rank is equal to size of shape
ND4J_EXPORT void calcOffsets(const int rank, const Nd4jLong* shape, const Nd4jLong* strides, Nd4jLong* offsets, const char order = 'c');
ND4J_EXPORT void calcOffsets(const Nd4jLong* shapeInfo, Nd4jLong* offsets, const char order = 'c');
ND4J_EXPORT void calcOffsets(const Nd4jLong *xShapeInfo, Nd4jLong*& xOffsets, const Nd4jLong *yShapeInfo, Nd4jLong*& yOffsets, const char order = 'c');
ND4J_EXPORT void calcOffsets(const Nd4jLong *xShapeInfo, Nd4jLong*& xOffsets, const Nd4jLong *yShapeInfo, Nd4jLong*& yOffsets, const Nd4jLong* zShapeInfo, Nd4jLong*& zOffsets, const char order = 'c');
ND4J_EXPORT _CUDA_HD void shapeOldScalar(nd4j::DataType dtype, Nd4jLong* const buffer, const char order);
// deduce element-wise stride
// if array is scalar or unit length vector then ews = 1
// if array is common vector then ews = stride of non-unity dimension
// if strides are normal set ews = 1, otherwise ews = 0
ND4J_EXPORT _CUDA_HD void setEws(Nd4jLong* shapeInfo, Nd4jLong len);
// deduce order and element-wise stride
// if array is scalar or unit length vector then ews = 1 and order is preserved
// if array is common vector then ews = stride of non-unity dimension and order is preserved
// if strides are normal/contiguous then ews = 1 and corresponding order is set, otherwise ews = 0 and order is preserved
ND4J_EXPORT _CUDA_HD void setOrderAndEws(Nd4jLong* shapeInfo, Nd4jLong len = -1);
/**
* processes whole set of sub-arrays
* evaluates shapeInfo of sub-arrays (all sub-arrays have the same shapeInfo) and their buffer offsets (each sub-array has its own unique offset from original this-buffer)
* arguments:
* wholeShapeInfo - original shapeInfo of whole array
* numOfSubArrs - number of sub-arrays, size of subArrOffsets is equal to numOfSubArrs
* dimsSize - size of dimsToExclude, if dimsSize = array rank or dimsSize = 0 it means sub-array is whole array and copy of wholeShapeInfo will be returned and one zero offset
* 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]
* subArrShapeInfo - output argument, contains shapeInfo common for all sub-arrays
* subArrOffsets - output argument, contains successive sub-arrays offsets from original this-buffer
* keepUnitiesInShape - if false then eliminate unities from sub-array shapeInfo, for example {1,a,1,b} -> {a,b}
*/
ND4J_EXPORT _CUDA_HD void calcSubArrShapeAndOffsets(const Nd4jLong* wholeShapeInfo, const Nd4jLong numOfSubArrs, const int dimsSize, const int* dimsToExclude, Nd4jLong* subArrShapeInfo, Nd4jLong* subArrOffsets, bool keepUnitiesInShape = false);
//END HEADERS
//BEGIN IMPLEMENTATIONS
#ifdef __CUDACC__
/**
* BEWARE: THIS METHOD DOES NOT CHECKS ALLOCATION BOUNDARIES
*/
__device__ INLINEDEF Nd4jLong *cuMalloc(Nd4jLong *buffer, long size) {
Nd4jLong *ret = buffer;
ret += (threadIdx.x * size);
return ret;
}
#endif
/**
* Length of a tad given
* the shape information
*/
INLINEDEF _CUDA_HD int tadLength(Nd4jLong *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.
*/
INLINEDEF _CUDA_HD int tadElementWiseStride(Nd4jLong *shapeInfo, int *dimension,int dimensionLength) {
return reductionIndexElementWiseStride(shapeInfo,dimension,dimensionLength);
}
INLINEDEF _CUDA_HD bool shapeEquals(const int shape1Rank, const Nd4jLong *shape1, const int shape2Rank, const Nd4jLong *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;
}
INLINEDEF _CUDA_HD bool shapeEquals(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2) {
return shape::shapeEquals(shape::rank(shapeInfo1), shape::shapeOf(const_cast<Nd4jLong*>(shapeInfo1)), shape::rank(shapeInfo2), shape::shapeOf(const_cast<Nd4jLong*>(shapeInfo2)));
}
INLINEDEF _CUDA_HD bool shapeEquals(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2, const Nd4jLong *shapeInfo3) {
return shape::shapeEquals(shapeInfo1, shapeInfo2) && shape::shapeEquals(shapeInfo1, shapeInfo3);
}
INLINEDEF _CUDA_HD bool strideEquals(int shape1Rank,Nd4jLong *shape1,int shape2Rank,Nd4jLong *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;
}
INLINEDEF _CUDA_HD bool strideEquals(Nd4jLong *shapeInfo1,Nd4jLong *shapeInfo2) {
return shape::strideEquals(shape::rank(shapeInfo1),shape::stride(shapeInfo1),shape::rank(shapeInfo2),shape::stride(shapeInfo2));
}
INLINEDEF _CUDA_HD bool strideEquals(Nd4jLong *stride1,int rank1 , Nd4jLong *stride2, int rank2) {
if(rank1 != rank2)
return false;
for(int i = 0; i < rank1; i++) {
if(stride1[i] != stride2[i])
return false;
}
return true;
}
INLINEDEF _CUDA_HD Nd4jLong *computeResultShape(Nd4jLong *originalShapeBuffer, int* dimension,int dimensionLength) {
Nd4jLong *retShape;
int retShapeLength;
if(dimensionLength == 1 && dimension[0] == 2147483647) {
retShape = new Nd4jLong[2];
retShape[0] = 1;
retShape[1] = 1;
retShapeLength = 2;
}
else {
retShape = shape::removeIndex<Nd4jLong, int>(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) {
auto newRetShape = new Nd4jLong[2]{1, retShape[0]};
delete[] retShape;
retShape = newRetShape;
retShapeLength = 2;
}
else {
auto newRetShape = new Nd4jLong[2]{retShape[0], 1};
delete[] retShape;
retShape = newRetShape;
retShapeLength = 2;
}
} else if (retShapeLength == 0) {
auto newRetShape = new Nd4jLong[2]{1, 1};
delete[] retShape;
retShape = newRetShape;
retShapeLength = 2;
}
auto ret = shape::shapeBuffer(retShapeLength, nd4j::ArrayOptions::dataType(originalShapeBuffer), retShape);
delete[] retShape;
return ret;
}
INLINEDEF _CUDA_HD Nd4jLong *shapeInfoOnlyShapeAndStride(Nd4jLong *shapeInfo, Nd4jLong *dimension, int dimensionLength,bool reverseCopyStride, Nd4jLong *buffer) {
Nd4jLong *theShape = shape::shapeOf(shapeInfo);
Nd4jLong *theStride = shape::stride(shapeInfo);
int rank = dimensionLength == 1 ? 2 : dimensionLength;
Nd4jLong *ret = buffer;
//set the rank
ret[0] = rank;
Nd4jLong *retShape = shape::shapeOf(ret);
Nd4jLong *retStride = shape::stride(ret);
int len = rank;
if(dimensionLength == 1) {
if(shape::isMatrix(theShape,shape::rank(shapeInfo))) {
if(dimension[0] == 0) {
Nd4jLong newStride[2] = {theStride[dimension[0]],1};
Nd4jLong newShape[2] = {theShape[dimension[0]],1};
retShape[0] = newShape[0];
retShape[1] = newShape[1];
retStride[0] = newStride[0];
retStride[1] = newStride[1];
}
else {
Nd4jLong newStride[2] = {theStride[dimension[0]],1};
Nd4jLong newShape[2] = {theShape[dimension[0]],1};
retShape[0] = newShape[0];
retShape[1] = newShape[1];
retStride[0] = newStride[0];
retStride[1] = newStride[1];
}
}
else {
Nd4jLong newStride[2] = {1,theStride[dimension[0]]};
Nd4jLong newShape[2] = {1,theShape[dimension[0]]};
retShape[0] = newShape[0];
retShape[1] = newShape[1];
retStride[0] = newStride[0];
retStride[1] = newStride[1];
}
}
else {
Nd4jLong *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;
}
INLINEDEF _CUDA_HD Nd4jLong *shapeInfoOnlyShapeAndStride(Nd4jLong *shapeInfo, Nd4jLong *dimension, int dimensionLength,bool reverseCopyStride) {
int rank = dimensionLength == 1 ? 2 : dimensionLength;
traceNew(4);
Nd4jLong *ret = new Nd4jLong[shape::shapeInfoLength(rank)];
return shapeInfoOnlyShapeAndStride(shapeInfo, dimension, dimensionLength, reverseCopyStride, ret);
}
INLINEDEF _CUDA_HD Nd4jLong * createShapeInfo(Nd4jLong *shape, Nd4jLong *stride, int rank) {
traceNew(5);
Nd4jLong *ret = new Nd4jLong[shape::shapeInfoLength(rank)];
return createShapeInfo(shape, stride, rank, ret);
}
INLINEDEF _CUDA_HD Nd4jLong * createShapeInfo(Nd4jLong *shape, Nd4jLong *stride, int rank, Nd4jLong *buffer) {
buffer[0] = rank;
Nd4jLong *retShape = shape::shapeOf(buffer);
Nd4jLong *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
*/
INLINEDEF _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong *shape, int rank, int startNum) {
if (isVector(shape, rank)) {
traceNew(5);
Nd4jLong *ret = new Nd4jLong[2];
for (int i = 0; i < 2; i++)
ret[i] = 1;
return ret;
}
int dimensions = rank;
traceNew(6);
Nd4jLong *stride = new Nd4jLong[dimensions];
int st = startNum;
for (int j = 0; j < rank; j++) {
stride[j] = st;
st *= shape[j];
}
return stride;
}
INLINEDEF _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong *shape, int rank, int startNum, Nd4jLong *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
*/
INLINEDEF _CUDA_HD Nd4jLong * calcStrides(Nd4jLong *shape, int rank, int startNum) {
traceNew(7);
Nd4jLong *stride = new Nd4jLong[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;
}
INLINEDEF _CUDA_HD Nd4jLong * calcStrides(Nd4jLong *shape, int rank, int startNum, Nd4jLong* 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
*/
INLINEDEF _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong *shape, int rank) {
return calcStridesFortran(shape, rank, 1);
}
INLINEDEF _CUDA_HD Nd4jLong * calcStridesFortran(Nd4jLong *shape, int rank, Nd4jLong* 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
*/
INLINEDEF _CUDA_HD Nd4jLong* calcStrides(Nd4jLong *shape, int rank) {
return calcStrides(shape, rank, 1);
}
INLINEDEF _CUDA_HD Nd4jLong* calcStrides(Nd4jLong *shape, int rank, Nd4jLong* ret) {
return calcStrides(shape, rank, 1, ret);
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD void updateStrides(Nd4jLong *shapeInfo, const char order) {
int rank = shapeInfo[0];
int doubleRank = 2*rank;
if (rank > 0) {
if (order == 'c') {
shapeInfo[doubleRank] = 1; // set unity as last stride for c order
for (int j = 1; j < rank; ++j) {
shapeInfo[doubleRank - j] = shapeInfo[doubleRank - j + 1] * shapeInfo[rank + 1 - j];
}
} else {
shapeInfo[rank + 1] = 1; // set unity as first stride for f order
for (int j = rank + 1; j < doubleRank; ++j) {
shapeInfo[j + 1] = shapeInfo[j] * shapeInfo[j - rank];
}
}
}
// set last 2 elements in shapeInfo
shapeInfo[doubleRank + 2] = 1;
shapeInfo[doubleRank + 3] = (int)order;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD void updateStrides(const int rank, const Nd4jLong *shapeOnly, Nd4jLong *stridesOnly, const char order) {
if (rank > 0) {
if (order == 'c') {
stridesOnly[rank - 1] = 1; // set unity as last stride for c order
for (int j = 1; j < rank; ++j)
stridesOnly[rank - 1 - j] = stridesOnly[rank - j] * shapeOnly[rank - j];
}
else {
stridesOnly[0] = 1; // set unity as first stride for f order
for (int j = 1; j < rank; ++j) {
stridesOnly[j] = stridesOnly[j - 1] * shapeOnly[j - 1];
}
}
}
}
// check whether input dimensions are permuted, not permuted dimensions order have to be 0,....,rank-1
template <typename T>
INLINEDEF _CUDA_HD bool isDimPermuted(const T* dimensions, const Nd4jLong 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
*/
INLINEDEF _CUDA_HD ShapeInformation *shapeCopy( ShapeInformation *toCopy) {
auto copy = new ShapeInformation;
traceNew(8);
copy->shape = new Nd4jLong[toCopy->rank];
memcpy(copy->shape, toCopy->shape, toCopy->rank * sizeof(Nd4jLong));
traceNew(9);
copy->stride = new Nd4jLong[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;
}
INLINEDEF _CUDA_HD int computeElementWiseStride(int rank, Nd4jLong *shape, Nd4jLong *stride, int isFOrder) {
if (rank == 0)
return 1;
if(shape::isVector(shape,rank)) {
return stride[rank - 1];
}
else {
int oldnd;
Nd4jLong *oldDims = shape::copyOf(rank, shape);
Nd4jLong *oldStrides = shape::copyOf(rank, stride);
int np, op, last_stride;
int oldStart, oldStop, ok, newStart, newStop, nk;
traceNew(10);
auto newStrides = new Nd4jLong[rank];
oldnd = 0;
//set the shape to be 1 x length
int newShapeRank = 2;
auto newShape = new Nd4jLong[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 (oldStart = 0; oldStart < rank; oldStart++) {
if (shape[oldStart] != 1) {
oldDims[oldnd] = shape[oldStart];
oldStrides[oldnd] = stride[oldStart];
oldnd++;
}
}
np = 1;
for (newStart = 0; newStart < newShapeRank; newStart++) {
np *= newShape[newStart];
}
op = 1;
for (oldStart = 0; oldStart < oldnd; oldStart++) {
op *= oldDims[oldStart];
}
if (np != op) {
/* different total sizes; no hope */
delete[] newStrides;
delete[] newShape;
delete[] oldStrides;
delete[] oldDims;
return 0;
}
if (np == 0) {
/* the current code does not handle 0-sized arrays, so give up */
delete[] newStrides;
delete[] newShape;
delete[] oldStrides;
delete[] oldDims;
return 0;
}
/* oldStart to oldStop and newStart to newStop give the axis ranges currently worked with */
oldStart = 0;
oldStop = 1;
newStart = 0;
newStop = 1;
while (newStart < newShapeRank && oldStart < oldnd) {
np = newShape[newStart];
op = oldDims[oldStart];
while (np != op) {
if (np < op) {
/* Misses trailing 1s, these are handled later */
np *= newShape[newStop++];
} else {
op *= oldDims[oldStop++];
}
}
/* Check whether the original axes can be combined */
for (ok = oldStart; ok < oldStop - 1; ok++) {
if (isFOrder) {
if (oldStrides[ok + 1] != oldDims[ok] * oldStrides[ok]) {
/* not contiguous enough */
delete[] newStrides;
delete[] newShape;
delete[] oldStrides;
delete[] oldDims;
return 0;
}
} else {
/* C order */
if (oldStrides[ok] != oldDims[ok + 1] * oldStrides[ok + 1]) {
/* not contiguous enough */
delete[] newStrides;
delete[] newShape;
delete[] oldStrides;
delete[] oldDims;
return 0;
}
}
}
/* Calculate new strides for all axes currently worked with */
if (isFOrder) {
newStrides[newStart] = oldStrides[oldStart];
for (nk = newStart + 1; nk < newStop; nk++) {
newStrides[nk] = newStrides[nk - 1] * newShape[nk - 1];
}
} else {
/* C order */
newStrides[newStop - 1] = oldStrides[oldStop - 1];
for (nk = newStop - 1; nk > newStart; nk--) {
newStrides[nk - 1] = newStrides[nk] * newShape[nk];
}
}
newStart = newStop++;
oldStart = oldStop++;
}
/*
* Set strides corresponding to trailing 1s of the new shape.
*/
if (newStart >= 1) {
last_stride = newStrides[newStart - 1];
} else {
last_stride = stride[rank - 1];
}
if (isFOrder) {
if (newStart >= 1)
last_stride *= newShape[newStart - 1];
}
for (nk = newStart; 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;
}
}
INLINEDEF _CUDA_HD int computeElementWiseStride(int rank, Nd4jLong *shape, Nd4jLong *stride, int isFOrder,
Nd4jLong *dimension, int dimensionLength) {
if(dimensionLength == 1) {
return stride[dimension[0]];
}
return 0;
}
/**
* Get the shape info buffer
* for the given rank and shape.
*/
INLINEDEF _CUDA_HD Nd4jLong *shapeBuffer(int rank, nd4j::DataType dtype, Nd4jLong *shape) {
Nd4jLong *stride = shape::calcStrides(shape, rank);
traceNew(11);
auto 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;
auto shapeInfoBuffer = shape::toShapeBuffer(shapeInfo);
delete[] stride;
delete shapeInfo;
nd4j::ArrayOptions::setDataType(shapeInfoBuffer, dtype);
return shapeInfoBuffer;
}
/**
* This is special method, it returns ONLY 2D shapebuffer.
*
* This method is used only for SoftMax
*/
INLINEDEF _CUDA_HD Nd4jLong *shapeBuffer(int rank, nd4j::DataType dtype, Nd4jLong *shape, Nd4jLong *buffer) {
Nd4jLong stride[MAX_RANK];
shape::calcStrides(shape,rank, stride);
shape::ShapeInformation shapeInfo;
shapeInfo.shape = shape;
shapeInfo.stride = stride;
shapeInfo.offset = 0;
shapeInfo.rank = rank;
auto elementWiseStride = shape::computeElementWiseStride(rank, shape, stride, 0);
shapeInfo.order = 'c';
shapeInfo.elementWiseStride = elementWiseStride;
shape::toShapeBuffer(&shapeInfo, buffer);
nd4j::ArrayOptions::setDataType(buffer, dtype);
return buffer;
}
/**
* Get the shape info buffer
* for the given rank and shape.
*/
INLINEDEF _CUDA_HD Nd4jLong *shapeBufferFortran(int rank, nd4j::DataType dtype, Nd4jLong *shape) {
auto stride = shape::calcStridesFortran(shape,rank);
traceNew(12);
auto 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;
auto shapeInfoBuffer = shape::toShapeBuffer(shapeInfo);
delete[] stride;
delete shapeInfo;
nd4j::ArrayOptions::setDataType(shapeInfoBuffer, dtype);
return shapeInfoBuffer;
}
INLINEDEF _CUDA_HD Nd4jLong *shapeBufferFortran(int rank, nd4j::DataType dtype, Nd4jLong *shape, Nd4jLong *output) {
Nd4jLong stride[MAX_RANK];
shape::calcStridesFortran(shape,rank, stride);
shape::ShapeInformation shapeInfo;
shapeInfo.shape = shape;
shapeInfo.stride = stride;
shapeInfo.offset = 0;
shapeInfo.rank = rank;
auto elementWiseStride = shape::computeElementWiseStride(rank, shape, stride, 0);
shapeInfo.order = 'f';
shapeInfo.elementWiseStride = elementWiseStride;
shape::toShapeBuffer(&shapeInfo, output);
nd4j::ArrayOptions::setDataType(output, dtype);
return output;
}
/**
* Compute the real linear indices for the given shape and stride
*/
INLINEDEF _CUDA_HD Nd4jLong *computeIndices(int rank, Nd4jLong *shape, Nd4jLong *stride) {
Nd4jLong length = shape::prodLong(shape,rank);
traceNew(13);
Nd4jLong *ret = new Nd4jLong[length];
for(int i = 0; i < length; i++) {
Nd4jLong *idx = new Nd4jLong[rank];
shape::index2coords(rank, shape, i, idx, 'f');
ret[i] = shape::getOffset(0, shape, stride, idx, rank);
delete[] idx;
}
return ret;
}
/**
* Compute the real linear indices for the given shape and stride
*/
INLINEDEF _CUDA_HD Nd4jLong *computeIndices(Nd4jLong *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
*/
INLINEDEF _CUDA_HD Nd4jLong sub2Ind(const int rank, const Nd4jLong *shape, const Nd4jLong *indices) {
Nd4jLong index = indices[rank-1];
Nd4jLong shift = 1;
for(int i = rank-2; i >= 0; --i) {
shift *= shape[i+1];
index += shift * indices[i];
}
return index;
}
template <typename T>
INLINEDEF _CUDA_HD void fill(T* buffer, T value, Nd4jLong length) {
PRAGMA_OMP_SIMD
for (int e = 0; e < length; e++)
buffer[e] = value;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD Nd4jLong getIndexOffset(Nd4jLong index, const Nd4jLong *shapeInfo, Nd4jLong arrLen) {
const Nd4jLong ews = shapeInfo[shapeInfo[0] + shapeInfo[0] + 2];
if(ews > 0 && order(shapeInfo) == 'c')
if (ews == 1)
return index;
else
return ews * index;
Nd4jLong offset = 0;
for(int i = 1; i <= shapeInfo[0]; ++i) {
arrLen /= shapeInfo[i];
if(arrLen > 0 && shapeInfo[i] > 1) {
offset += (index / arrLen) * shapeInfo[i + shapeInfo[0]];
index %= arrLen;
}
}
return offset;
}
INLINEDEF _CUDA_HD uint getIndexOffset(uint index, const uint *shapeInfo, uint arrLen) {
const uint rank = shapeInfo[0];
const uint ews = shapeInfo[rank + rank + 2];
if(ews > 0 && shapeInfo[rank + rank + 3] == 99)
if (ews == 1)
return index;
else
return ews * index;
uint offset = 0;
for(uint i = 1; i <= rank; ++i) {
arrLen /= shapeInfo[i];
if(arrLen > 0 && shapeInfo[i] > 1) {
offset += (index / arrLen) * shapeInfo[i + rank];
index %= arrLen;
}
}
return offset;
}
INLINEDEF _CUDA_HD Nd4jLong indexOffset(Nd4jLong index, const Nd4jLong* lShapeInfo, const uint* uShapeInfo, Nd4jLong arrLen, const bool useUnsigned) {
if(useUnsigned)
return getIndexOffset(static_cast<uint>(index), uShapeInfo, static_cast<uint>(arrLen));
return getIndexOffset(index, lShapeInfo, arrLen);
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD Nd4jLong getIndexOrderOffset(Nd4jLong index, const Nd4jLong *shapeInfo, Nd4jLong arrLen, const char order) {
Nd4jLong offset = 0;
if(order == 'c') {
for(int i = 1; i <= *shapeInfo; ++i) {
arrLen /= shapeInfo[i];
if(arrLen > 0 && shapeInfo[i] > 1) {
offset += (index / arrLen) * shapeInfo[i + *shapeInfo];
index %= arrLen;
}
}
}
else {
for(int i = *shapeInfo; i >= 1 ; --i) {
arrLen /= shapeInfo[i];
if(arrLen > 0 && shapeInfo[i] > 1) {
offset += (index / arrLen) * shapeInfo[i + *shapeInfo];
index %= arrLen;
}
}
}
return offset;
}
/**
*
* @param length
* @param shape
* @param rearrange
* @return
*/
INLINEDEF _CUDA_HD Nd4jLong *doPermuteSwap(int length, Nd4jLong *shape, int *rearrange) {
traceNew(16);
Nd4jLong *ret = new Nd4jLong[length];
for (int i = 0; i < length; i++) {
ret[i] = shape[rearrange[i]];
}
return ret;
}
/**
*
* @param length
* @param shape
* @param rearrange
* @return
*/
INLINEDEF _CUDA_HD void doPermuteSwap(int length, Nd4jLong **shape, int *rearrange) {
if(length == 1) {
return;
}
else {
Nd4jLong *shapeDeref = *shape;
if(shape::prodLong(shapeDeref,length) < 2) {
return;
}
}
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;
Nd4jLong *shapeDeref = *shape;
//we know they are just reversed, dimension length of 2
if(length == 2) {
auto shapeFirst = shapeDeref[0];
auto shapeSecond = shapeDeref[1];
shapeDeref[0] = shapeSecond;
shapeDeref[1] = shapeFirst;
return;
}
else if(length == 1) {
//no permute
return;
}
auto temp = new Nd4jLong[length];
memcpy(temp,shapeDeref,sizeof(Nd4jLong) * length);
for (int i = 0; i < length; i++) {
shapeDeref[i] = temp[rearrange[i]];
}
delete[] temp;
}
INLINEDEF _CUDA_HD void permuteShapeBufferInPlace(Nd4jLong *shapeBuffer, int *rearrange, Nd4jLong *out) {
if(shapeBuffer != out)
memcpy(out,shapeBuffer,sizeof(Nd4jLong) * shape::shapeInfoLength(shapeBuffer));
shape::doPermuteShapeInfo(out, rearrange);
}
INLINEDEF _CUDA_HD Nd4jLong *permuteShapeBuffer(Nd4jLong *shapeBuffer, int* rearrange) {
auto len = shape::shapeInfoLength(shape::rank(shapeBuffer));
Nd4jLong *copy = shape::copyOf(len, shapeBuffer);
shape::doPermuteShapeInfo(copy,rearrange);
return copy;
}
INLINEDEF _CUDA_HD void doPermuteShapeInfo(Nd4jLong *shapeInfo, const int *rearrange, Nd4jLong len) {
if(len == -1) // calculate array length if it is not given
len = shape::length(shapeInfo);
//check whether shape is like {1} or {1,1} or {1,1,1,1,...} - in this case we don't need permute
if(len < 2)
return;
const int rank = shape::rank(shapeInfo);
// check whether rearrange is like {0,1,2,3,...} - in this case we don't need permute as well
bool isPermutNecessary = false;
for(int i = 0; i < rank; ++i)
if(rearrange[i] != i) {
isPermutNecessary = true;
break;
}
if(!isPermutNecessary)
return;
// check whether rearrange contains correct indexes
for(int i = 0; i < rank; ++i)
if(rearrange[i] >= rank || rearrange[i] < 0) {
printf("shape::doPermuteShapeInfo function failed: rearrange indexes are incorrect !\n");
return;
}
// if everything is ok then perform permute
auto temp = new Nd4jLong[shape::shapeInfoLength(rank) - 3];
memcpy(temp, shapeInfo, sizeof(Nd4jLong) * (shape::shapeInfoLength(rank) - 3));
for (int i = 0; i < rank; ++i) {
shapeInfo[i + 1] = temp[rearrange[i] + 1];
shapeInfo[i + 1 + rank] = temp[rearrange[i] + 1 + rank];
}
shape::setOrderAndEws(shapeInfo, len);
delete[] temp;
}
INLINEDEF _CUDA_HD Nd4jLong *createPermuteIndexes(int originalRank, int *dimension,int dimensionLength) {
int delta = originalRank - dimensionLength;
traceNew(17);
Nd4jLong *ret = new Nd4jLong[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
*/
INLINEDEF _CUDA_HD char getOrder(int length, Nd4jLong *shape, Nd4jLong *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
*/
template <typename T>
INLINEDEF _CUDA_HD int checkArrangeArray(T *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;
}
INLINEDEF _CUDA_HD 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
*/
INLINEDEF _CUDA_HD 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
*/
INLINEDEF _CUDA_HD int isVector(Nd4jLong *shape, int rank) {
if (rank == 0)
return 0;
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;
}
INLINEDEF _CUDA_HD bool isLikeVector(Nd4jLong *shapeInfo, int& posOfNonUnityDim) {
int numOfNonUnity = 0;
for(int i = 1; i <= shapeInfo[0]; ++i) {
if(shapeInfo[i] != 1) {
++numOfNonUnity;
posOfNonUnityDim = i-1;
}
}
return numOfNonUnity == 1 && shapeInfo[0] > 2;
}
INLINEDEF _CUDA_HD bool isCommonVector(const Nd4jLong *shapeInfo, int& posOfNonUnityDim) {
if(rank(shapeInfo) > 0 && length(shapeInfo) == 1) {
posOfNonUnityDim = 0;
return true;
}
int numOfNonUnity = 0;
for(int i = 1; i <= shapeInfo[0]; ++i) {
if(shapeInfo[i] != 1) {
++numOfNonUnity;
posOfNonUnityDim = i-1;
}
}
return numOfNonUnity == 1;
}
INLINEDEF _CUDA_H Nd4jLong* detachShape(Nd4jLong *originalShape) {
Nd4jLong *newShape = new Nd4jLong[shape::shapeInfoLength(originalShape)];
memcpy(newShape, originalShape, shape::shapeInfoByteLength(originalShape));
return newShape;
}
INLINEDEF _CUDA_H Nd4jLong* copyShape(Nd4jLong *originalShape) {
Nd4jLong *newShape = new Nd4jLong[shape::shapeInfoLength(originalShape)];
memcpy(newShape, originalShape, shape::shapeInfoByteLength(originalShape));
return newShape;
}
INLINEDEF _CUDA_HD int isVector(const Nd4jLong *shapeInfo) {
return isVector(shape::shapeOf(const_cast<Nd4jLong*>(shapeInfo)), shape::rank(shapeInfo));
}
INLINEDEF _CUDA_HD bool isRowVector(const Nd4jLong *shapeInfo) {
bool isVector = shape::isVector(shapeInfo) == 1;
bool shapeFirstOne = shape::shapeOf(const_cast<Nd4jLong*>(shapeInfo))[0] == 1;
return isVector && shapeFirstOne;
}
INLINEDEF _CUDA_HD bool isColumnVector(Nd4jLong *shapeInfo) {
bool isVector = shape::isVector(shapeInfo) == 1;
bool shapeFirstOne = shape::shapeOf(shapeInfo)[0] == 1;
return isVector && !shapeFirstOne;
}
INLINEDEF _CUDA_HD int oneDimEqualToLength(Nd4jLong *shape, int rank) {
for(int i = 0; i < rank; i++) {
if(shape[i] == shape::prod(shape,rank))
return 1;
}
return 0;
}
INLINEDEF _CUDA_HD int oneDimEqualToLength(Nd4jLong *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
*/
INLINEDEF _CUDA_HD int isMatrix(Nd4jLong *shape, int rank) {
if (rank > 2)
return 0;
else if (rank <= 2) {
if (shape[0] == 1 || shape[1] == 1)
return 0;
}
return 1;
}
INLINEDEF _CUDA_HD int isMatrix(Nd4jLong *shapeInfo) {
return isMatrix(shape::shapeOf(shapeInfo),shape::rank(shapeInfo));
}
/**
* Returns the shape portion of an information
* buffer
*/
INLINEDEF _CUDA_HD Nd4jLong *shapeOf(Nd4jLong *buffer) {
return buffer + 1;
}
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
template <typename T>
INLINEDEF _CUDA_HD T *copyOf(Nd4jLong length, T *toCopy) {
traceNew(18);
T *ret = new T[length];
return copyOf(length, toCopy, ret);
}
template <typename T>
INLINEDEF _CUDA_HD T* copyOf(Nd4jLong length, T *toCopy, T *ret) {
memcpy(ret, toCopy, sizeof(T)*length);
return ret;
}
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
template <typename T>
INLINEDEF _CUDA_HD void copyTo(Nd4jLong length, T *from, T *to) {
memcpy(to, from, sizeof(T)*length);
}
/**
* Return a copy of a buffer.
* This buffer allocates memory
* that must be freed elsewhere.
*/
INLINEDEF _CUDA_HD void copyTo(int length, Nd4jLong *from, Nd4jLong *to, Nd4jLong *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
*/
/*
INLINEDEF _CUDA_HD Nd4jLong *permutedStrides(Nd4jLong *toPermute, int shapeRank, int *rearrange) {
Nd4jLong *strideCopy = copyOf(shapeRank, toPermute);
checkArrangeArray(rearrange, shapeRank, shapeRank);
Nd4jLong *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
*/
INLINEDEF _CUDA_HD Nd4jLong *slice(Nd4jLong *shape) {
return shape + 1;
}
INLINEDEF _CUDA_HD int slices(Nd4jLong *shapeBuffer) {
return static_cast<int>(shape::shapeOf(shapeBuffer)[0]);
}
INLINEDEF _CUDA_HD Nd4jLong *sliceOfShapeBuffer(Nd4jLong sliceIdx, Nd4jLong *shapeBuffer) {
int rank = shape::rank(shapeBuffer);
int newRank = rank - 1;
if(newRank < 2)
newRank = 2;
Nd4jLong *newShapeBuffer = new Nd4jLong[shape::shapeInfoLength(newRank)];
newShapeBuffer[0] = newRank;
Nd4jLong *currShape = shape::shapeOf(shapeBuffer);
Nd4jLong *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
Nd4jLong *newShape = shape::shapeOf(newShapeBuffer);
Nd4jLong *newStride = shape::stride(newShapeBuffer);
if(shape::isVector(shapeBuffer)) {
Nd4jLong *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::shapeInfoByteLength(shape::rank(shapeBuffer)));
return newShapeBuffer;
}
}
//column vector: this will be a scalar
else {
delete[] newShapeBuffer;
Nd4jLong *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];
}
}
auto indices = new Nd4jLong[rank];
memset((void *) indices,0,rank * sizeof(Nd4jLong));
indices[0] = sliceIdx;
Nd4jLong offset = shape::getOffset(0,newShape,newStride,indices,rank);
newShapeBuffer[shape::shapeInfoLength(newRank) - 3] = offset;
// set current order and ews
newShapeBuffer[2 * newRank + 2] = shape::elementWiseStride(shapeBuffer);
newShapeBuffer[2 * newRank + 3] = shape::order(shapeBuffer);
// correct order and ews if necessary
shape::setOrderAndEws(newShapeBuffer);
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
*/
INLINEDEF _CUDA_HD int shapeInfoLength(int rank) {
//FIXME magic numbers
return rank * 2 + 4;
}
INLINEDEF _CUDA_HD int shapeInfoLength(Nd4jLong* shape) {
return shapeInfoLength(static_cast<int>(shape[0]));
}
INLINEDEF _CUDA_HD int shapeInfoLength(const Nd4jLong* shape) {
return shapeInfoLength(static_cast<int>(shape[0]));
}
INLINEDEF _CUDA_HD size_t shapeInfoByteLength(int rank) {
//FIXME magic numbers
return (rank * 2 + 4) * sizeof(Nd4jLong);
}
INLINEDEF _CUDA_HD size_t shapeInfoByteLength(const Nd4jLong* shapeInfo) {
//FIXME magic numbers
return shapeInfoByteLength((int) shapeInfo[0]);
}
/**
* Returns the rank portion of
* an information buffer
*/
INLINEDEF _CUDA_HD int rank(const Nd4jLong *buffer) {
return static_cast<int>(buffer[0]);
}
INLINEDEF _CUDA_HD int rank(const int *buffer) {
return buffer[0];
}
INLINEDEF _CUDA_HD int rank(const unsigned int *buffer) {
return static_cast<int>(buffer[0]);
}
INLINEDEF _CUDA_HD Nd4jLong* ews(Nd4jLong* shapeInfo) {
return shapeInfo + 2 * shapeInfo[0] + 2;
}
/**
* Converts a raw int buffer of the layout:
* rank
* shape
* stride
* offset
* elementWiseStride
*
* where shape and stride are both straight int pointers
*/
INLINEDEF _CUDA_HD ShapeInformation *infoFromBuffer(Nd4jLong *buffer) {
traceNew(19);
auto info = new ShapeInformation;
auto length = shapeInfoLength(rank(buffer));
auto 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];
Nd4jLong *stride = buffer + 1 + rank;
info->stride = stride;
info->order = (char) buffer[length - 1];
return info;
}
/**
* Returns the stride portion of an information
* buffer
*/
INLINEDEF _CUDA_HD Nd4jLong *stride(Nd4jLong *buffer) {
return buffer + (1 + rank(buffer));
}
INLINEDEF _CUDA_HD bool isEmpty(const Nd4jLong *shapeInfo) {
return ((shape::extra(const_cast<Nd4jLong*>(shapeInfo)) & ARRAY_EMPTY) == ARRAY_EMPTY);
}
/**
* Compute the length of the given shape
*/
INLINEDEF _CUDA_HD Nd4jLong length(const Nd4jLong *shapeInfo) {
const int rank = shape::rank(shapeInfo);
if (rank == 0) {
if (isEmpty(shapeInfo))
return 0L;
return 1L;
}
if (rank == 1)
return shapeInfo[1];
// if(shape::elementWiseStride(shapeInfo) == 1) { // contiguous
// if(shape::order(shapeInfo) == 'c')
// return shapeInfo[1] * shapeInfo[rank + 1]; // first dim * first stride
// return shapeInfo[rank] * shapeInfo[2 * rank]; // last dim * last stride
// }
return shape::prodLong(shape::shapeOf(const_cast<Nd4jLong*>(shapeInfo)), rank);
}
INLINEDEF _CUDA_HD Nd4jLong length(std::initializer_list<int>& shape) {
Nd4jLong ret = 1;
for (auto v : shape) {
ret *= v;
}
return ret;
}
INLINEDEF _CUDA_HD Nd4jLong length(std::initializer_list<Nd4jLong>& shape) {
Nd4jLong ret = 1;
for (auto v : shape) {
ret *= v;
}
return ret;
}
/***
* Returns the offset
* portion of an information buffer
*/
INLINEDEF _CUDA_HD Nd4jLong offset(Nd4jLong *buffer) {
return buffer[shape::shapeInfoLength(shape::rank(buffer)) - 3];
}
INLINEDEF _CUDA_HD Nd4jLong& extra(Nd4jLong *buffer) {
return buffer[shape::shapeInfoLength(shape::rank(buffer)) - 3];
}
/**
* Returns the ordering
* for this shape information buffer
*/
INLINEDEF _CUDA_HD char order(const Nd4jLong *buffer) {
//FIXME magic numbers
return static_cast<char>(buffer[buffer[0] * 2 + 3]);
}
/**
* Returns type
*/
INLINEDEF _CUDA_HD Nd4jLong type(const Nd4jLong *shapeInfo) {
return shapeInfo[2 * shapeInfo[0] + 1];
}
/**
* Returns the element wise stride for this information
* buffer
*/
INLINEDEF _CUDA_HD Nd4jLong elementWiseStride(const Nd4jLong *buffer) {
return buffer[shapeInfoLength(static_cast<int>(buffer[0])) - 2];
}
/**
* Returns the element wise stride for this information
* buffer relative to a dimension and reduction index
*/
INLINEDEF _CUDA_HD Nd4jLong reductionIndexElementWiseStride(Nd4jLong* 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;
auto 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) {
auto 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.
*/
auto 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.
*/
auto tadElementWiseStride = shape::stride(buffer)[dimension[dimensionLength - 1]];
return tadElementWiseStride;
}
}
}
/**
* Returns whether
* the given shape info buffer
* represents a scalar shape
*/
INLINEDEF _CUDA_HD int isScalar(Nd4jLong *info) {
const int rank = shape::rank(info);
if(rank > 2)
return 0;
if(rank == 0)
return 1;
if(rank == 1)
return shape::shapeOf(info)[0] == 1;
if(rank == 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
*/
INLINEDEF _CUDA_HD int isScalar(volatile ShapeInformation *info) {
const int rank = info->rank;
if(rank > 2)
return 0;
if(rank == 1)
return info->shape[0] == 1;
if(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
*/
template <typename T1, typename T2>
INLINEDEF _CUDA_HD void removeIndex(T1* data, T2 *indexes, Nd4jLong dataLength, Nd4jLong indexesLength, T1 *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
*/
template <typename T1, typename T2>
INLINEDEF _CUDA_HD T1* removeIndex(T1 *data, T2 *indexes, Nd4jLong dataLength, Nd4jLong indexesLength) {
auto lengthOfArr = dataLength - indexesLength;
if(lengthOfArr < 0) {
printf("Remove index call created a <= 0 length array. This was likely not intended.");
}
auto ret = new T1[lengthOfArr];
memset(ret,0,sizeof(T1) * lengthOfArr);
removeIndex<T1, T2>(data, indexes, dataLength, indexesLength, ret);
return ret;
}
INLINEDEF _CUDA_HD Nd4jLong* everyIndexBut(Nd4jLong *indexes,int indexesLength,int begin,int end) {
int len = end - indexesLength;
traceNew(20);
auto ret = new Nd4jLong[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
*/
INLINEDEF _CUDA_HD Nd4jLong *ensureVectorShape(Nd4jLong *shape, int dimension) {
traceNew(21);
Nd4jLong *ret = new Nd4jLong[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
*/
INLINEDEF _CUDA_HD Nd4jLong *ensureVectorShape(Nd4jLong *shape) {
return ensureVectorShape(shape, 0);
}
/**
* This method does STRICT comparison for two shape buffers
*
* @param shape
* @return
*/
INLINEDEF _CUDA_HD bool equalsStrict(const Nd4jLong *shapeA, const Nd4jLong *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;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD bool haveSameShapeAndStrides(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2) {
if (shapeInfo1[0] != shapeInfo2[0])
return false;
if (shapeInfo1[0] == 0)
return true;
int range = 2 * shapeInfo1[0];
for (int e = 1; e <= range; e++)
if (shapeInfo1[e] != shapeInfo2[e])
return false;
return true;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD bool haveSameShapeAndStrides(const Nd4jLong *shapeInfo1, const Nd4jLong *shapeInfo2, const Nd4jLong *shapeInfo3) {
return shape::haveSameShapeAndStrides(shapeInfo1, shapeInfo2) && shape::haveSameShapeAndStrides(shapeInfo1, shapeInfo3);
}
INLINEDEF _CUDA_HD int sizeAt(const Nd4jLong *shape, const int dim) {
if (0 == rank(shape))
return 1;
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
*/
INLINEDEF _CUDA_HD bool equalsSoft(const Nd4jLong *shapeA, const Nd4jLong *shapeB) {
if (shapeA[0] != shapeB[0])
return false;
if (shapeA[0] == 0)
return true;
// we compare only shapes, and ignoring stride & ews
auto length = shapeA[0];
for (int e = 1; e <= length; e++)
if (shapeA[e] != shapeB[e])
return false;
return true;
}
INLINEDEF _CUDA_HD bool equalsTypesAndShapesSoft(const Nd4jLong *shapeA, const Nd4jLong *shapeB) {
return equalsSoft(shapeA, shapeB) && shapeA[shapeInfoLength(shapeA) - 3] == shapeB[shapeInfoLength(shapeB) - 3];
}
/**
* Generate an int buffer
* up to the given length
* at the specified increment
*
*/
template <typename T>
INLINEDEF _CUDA_HD T* range(int from, int to, int increment) {
int diff = nd4j::math::nd4j_abs<int>(from - to);
int retLength = diff / increment;
T *ret;
traceNew(22);
if(diff / increment < 1)
ret = new T[1];
else
ret = new T[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
*/
template <typename T>
INLINEDEF _CUDA_HD T* range(int from, int to) {
return range<T>(from, to, 1);
}
/**
* Keep the given indexes in the data
* @param data
* @param index
* @param indexLength
* @param dataLength
* @return
*/
INLINEDEF _CUDA_HD Nd4jLong *keep(volatile Nd4jLong *data, int* index, int indexLength, int dataLength) {
traceNew(23);
Nd4jLong *ret = new Nd4jLong[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
*/
template <typename T>
INLINEDEF _CUDA_HD T* reverseCopy(T *data, Nd4jLong length) {
if (length < 1)
return nullptr;
traceNew(24);
T *copy = new T[length];
for (Nd4jLong i = 0; i <= length / 2; i++) {
T temp = data[i];
copy[i] = data[length - i - 1];
copy[length - i - 1] = temp;
}
return copy;
}
template <typename T>
INLINEDEF _CUDA_HD void reverseCopyTo(T *from, T *to, Nd4jLong length) {
if (length < 1)
return;
for (Nd4jLong i = 0; i <= length / 2; i++) {
T temp = from[i];
to[i] = from[length - i - 1];
to[length - i - 1] = temp;
}
}
template <typename T>
INLINEDEF _CUDA_HD void reverseCopyTo(T *from, T *to, Nd4jLong *indexes, Nd4jLong length) {
if (length < 1)
return;
for (Nd4jLong i = 0; i <= length / 2; i++) {
T 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
*/
template <typename T>
INLINEDEF _CUDA_HD T* concat(T* arr1, Nd4jLong arr1Length, T* arr2, Nd4jLong arr2Length) {
traceNew(25);
T *ret = new T[arr1Length + arr2Length];
std::memcpy(ret, arr1, arr1Length * sizeof(T));
std::memcpy(ret + arr1Length, arr2, arr2Length * sizeof(T));
return ret;
}
/**
*
* @param numArrays
* @param numTotalElements
* @param arr
* @param lengths
* @return
*/
template <typename T>
INLINEDEF _CUDA_HD T *concat(Nd4jLong numArrays, Nd4jLong numTotalElements, T **arr, Nd4jLong *lengths) {
T* ret = new T[numTotalElements];
Nd4jLong count = 0;
for (Nd4jLong i = 0; i < numArrays; i++) {
for (Nd4jLong 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
*/
INLINEDEF _CUDA_HD Nd4jLong lengthPerSlice(int rank, Nd4jLong *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);
auto ret2 = shape::removeIndex<Nd4jLong>(shape, dimension, rank, dimensionLength);
auto ret = prodLong(ret2, absSelta);
delete[] ret2;
return ret;
}
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
INLINEDEF _CUDA_HD Nd4jLong sliceOffsetForTensor(int rank, int index, Nd4jLong *shape, Nd4jLong *tensorShape, int tensorShapeLength, int* dimension, int dimensionLength) {
auto tensorLength = prodLong(tensorShape, tensorShapeLength);
auto lengthPerSlice2 = lengthPerSlice(rank, shape, dimension, dimensionLength);
if (lengthPerSlice2 <= 0) {
return 0;
}
Nd4jLong offset = index * tensorLength / lengthPerSlice2;
return offset;
}
/**
* calculates the offset for a tensor
* @param index
* @param arr
* @param tensorShape
* @return
*/
INLINEDEF _CUDA_HD Nd4jLong sliceOffsetForTensor(int index,int tensorLength,int lengthPerSlice2) {
Nd4jLong 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 _CUDA_D int tadOffset(Nd4jLong *xInfo, int offset) {
return offset + threadIdx.x * elementWiseStride(xInfo);
}
#endif
/**
* Computes the number
* of tensors along
* a given dimension
*/
INLINEDEF _CUDA_HD Nd4jLong tensorsAlongDimension(volatile int rank, volatile int length,
volatile Nd4jLong *shape, int *dimension, int dimensionLength) {
Nd4jLong *tensorShape = shape::keep(shape, dimension, dimensionLength, rank);
Nd4jLong ret = length / shape::prodLong(tensorShape, dimensionLength);
delete[] tensorShape;
return ret;
}
/**
* Computes the number
* of tensors along
* a given dimension
*/
INLINEDEF _CUDA_HD Nd4jLong tensorsAlongDimension(Nd4jLong *shapeInfo, int *dimension, int dimensionLength) {
Nd4jLong *keepShape = shape::shapeOf(shapeInfo);
Nd4jLong *tensorShape = shape::keep(keepShape, dimension, dimensionLength, rank(shapeInfo));
Nd4jLong 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
*/
INLINEDEF _CUDA_HD Nd4jLong getOffset(Nd4jLong baseOffset, const Nd4jLong *shape, const Nd4jLong *stride, const Nd4jLong *indices, int rank) {
Nd4jLong offset = baseOffset;
for(int i = 0; i < rank; i++) {
if(indices[i] >= shape[i] && shape[i] != 1) {
#ifdef __CUDA_ARCH__
printf("D: Index %i [%lld] must not be >= shape[%lld].\n", i,indices[i],shape[i]);
#else
printf("H: Index %i [%lld] must not be >= shape[%lld].\n", i, (long long) indices[i], (long long) shape[i]);
#endif
#ifdef __CUDA_ARCH__
//if (threadIdx.x == 0 && blockIdx.x == 0)
// printShapeInfoLinear("getOffsetFailed", rank, shape, stride);
#endif
return -1;
}
if(shape[i] != 1) {
offset += indices[i] * stride[i];
}
}
return offset;
}
/**
* Returns the tensor along dimension
* for the given block index
* @param blockSize
* @param blockIdx
* @param i
* @return
*/
INLINEDEF _CUDA_HD int tadForBlockIndex(int blockSize, int blockIdx, int i) {
return blockIdx + i * blockSize;
}
/**
* Computes the number of tads per block
*
*/
INLINEDEF _CUDA_HD int tadsPerBlock(int blockSize, int tads) {
return nd4j::math::nd4j_ceil<double, int>(tads / (double) blockSize);
}
/**
* Returns a shape buffer
* for the shape information metadata.
*/
INLINEDEF _CUDA_HD Nd4jLong *toShapeBuffer( ShapeInformation *info) {
traceNew(29);
auto ret = new Nd4jLong[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;
}
INLINEDEF _CUDA_HD Nd4jLong *toShapeBuffer( ShapeInformation *info, Nd4jLong* 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;
}
INLINEDEF _CUDA_HD void printIntArray(const Nd4jLong *arr, const int length) {
for(int i = 0; i < length; i++) {
printf(" %lld ", (long long) arr[i]);
}
printf("\n");
}
INLINEDEF _CUDA_HD void printIntArray(const int *arr, const int length) {
for(int i = 0; i < length; i++) {
printf(" %i ", arr[i]);
}
printf("\n");
}
INLINEDEF _CUDA_HD void printShapeInfo(Nd4jLong *shapeInfo) {
int rank = shape::rank(shapeInfo);
Nd4jLong *shape = shape::shapeOf(shapeInfo);
printf("Rank %d\n",rank);
printf("Shape:\n");
for(int i = 0; i < rank; i++) {
printf(" %lld ",(long long) shape[i]);
}
printf("\n");
Nd4jLong *stride = shape::stride(shapeInfo);
printf("Stride:\n");
for(int i = 0; i < rank; i++) {
printf(" %lld ", (long long) stride[i]);
}
printf("\n");
printf("Order %c\n",shape::order(shapeInfo));
}
INLINEDEF _CUDA_HD void printShapeInfoLinear(const Nd4jLong *shapeInfo) {
int rank = shape::rank(shapeInfo);
int lim = shape::shapeInfoLength(rank);
printf("ShapeInfo: [");
for (int i = 0; i < lim; i++) {
printf("%lld", (long long) shapeInfo[i]);
if (i < lim - 1) {
printf(", ");
}
}
printf("]\n");
#ifndef __CUDA_ARCH__
fflush(stdout);
#endif
}
INLINEDEF _CUDA_HD void printShapeInfoLinear(const char *msg, int rank, const Nd4jLong *shape, const Nd4jLong *strides) {
printf("%s : [", msg);
for (int i = 0; i < rank; i++) {
printf("%lld, ", (long long) shape[i]);
}
for (int i = 0; i < rank; i++) {
printf("%lld", (long long) strides[i]);
if (i < rank - 1)
printf(", ");
}
printf("]\n");
#ifndef __CUDA_ARCH__
fflush(stdout);
#endif
}
INLINEDEF _CUDA_HD void printShapeInfoLinear(const char *msg, const Nd4jLong *shapeInfo) {
int rank = shape::rank(shapeInfo);
int lim = shape::shapeInfoLength(rank);
printf("%s : [", msg);
for (int i = 0; i < lim; i++) {
printf("%lld", (long long) shapeInfo[i]);
if (i < lim - 1) {
printf(", ");
}
}
printf("]\n");
#ifndef __CUDACC__
fflush(stdout);
#endif
}
template <typename T>
INLINEDEF _CUDA_HD void printArray(void *varr,int length, const char * message) {
auto arr = reinterpret_cast<T*>(varr);
if (message != nullptr)
printf("%s: [", message);
else
printf("Array: [");
for (int i = 0; i < length; i ++) {
printf("%f", (float) arr[i]);
if (i + 1 < length) printf(", ");
}
printf("]\n");
#ifndef __CUDACC__
fflush(stdout);
#endif
}
INLINEDEF _CUDA_HD 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
*/
INLINEDEF _CUDA_HD 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)
*/
INLINEDEF _CUDA_HD int reductionIndexForTad(int tadIndexForOriginal, int tadsForReduced,
int tadsForOriginal) {
if (tadIndexForOriginal == 0)
return 0;
return tadIndexForOriginal / (tadsForOriginal / tadsForReduced);
}
INLINEDEF _CUDA_HD void transposeInplace(Nd4jLong *shapeBuffer) {
int rank = shape::rank(shapeBuffer);
Nd4jLong *shape = shape::shapeOf(shapeBuffer);
Nd4jLong *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
*/
INLINEDEF _CUDA_HD int tadIndexForLinear(int linearIndex, int tadLength) {
return linearIndex % tadLength;
}
/**
* Computes the number of tads
* per reduce index for the
* reduction tad.
*/
INLINEDEF _CUDA_HD 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
*/
INLINEDEF _CUDA_HD int reductionIndexForLinear(int i, int elementWiseStride, int numElementsPerTad,
int tadNum, int originalTadNum) {
int tad = tadIndex(i, elementWiseStride, numElementsPerTad);
return reductionIndexForTad(tad, tadNum, originalTadNum);
}
INLINEDEF _CUDA_HD Nd4jLong* createScalarShapeInfo() {
traceNew(30);
auto shape = new Nd4jLong[1];
shape[0] = 1;
auto stride = new Nd4jLong[1];
stride[0] = 1;
auto shapeInformation2 = new ShapeInformation();
shapeInformation2->rank = 1;
shapeInformation2->offset = 0;
shapeInformation2->stride = stride;
shapeInformation2->shape = shape;
shapeInformation2->elementWiseStride = 1;
shapeInformation2->order = 99;
Nd4jLong *ret = shape::toShapeBuffer(shapeInformation2);
delete shapeInformation2;
delete[] shape;
delete[] stride;
return ret;
}
INLINEDEF _CUDA_HD Nd4jLong* createScalarShapeInfo(Nd4jLong *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
*/
INLINEDEF _CUDA_HD int prod(Nd4jLong *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
*/
INLINEDEF _CUDA_HD Nd4jLong prodLong(const Nd4jLong *data, int length) {
Nd4jLong prod = 1;
for (int i = 0; i < length; i++) {
prod *= data[i];
}
return prod;
}
INLINEDEF _CUDA_HD int rearMostLeftOverItem(Nd4jLong *data, Nd4jLong *dimension,int dimensionLength) {
Nd4jLong *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(Nd4jLong *shapeInfoBuffer, Nd4jLong *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
INLINEDEF _CUDA_HD Nd4jLong *shapeBufferOfNpy(cnpy::NpyArray arr) {
return shape::shapeBufferOfNpy(arr.shape.size(),(unsigned int*) arr.shape.data(),arr.fortranOrder);
}
// INLINEDEF _CUDA_HD Nd4jLong *shapeBufferOfNpyBuffer(char *buffer) {
// unsigned Nd4jLong *shape;
// unsigned int ndims, wordSize;
// bool fortranOrder;
// cnpy::parseNpyHeaderStr(std::string(buffer),wordSize,shape,ndims,fortranOrder);
// Nd4jLong * ret = shape::shapeBufferOfNpy(ndims,shape,fortranOrder);
// delete[] shape;
// return ret;
// }
INLINEDEF _CUDA_HD Nd4jLong *shapeBufferOfNpy(int rank, unsigned int* shape,bool fortranOrder) {
if(fortranOrder) {
Nd4jLong *shapeBufferRet = shape::shapeBufferFortran(rank, nd4j::FLOAT32,(Nd4jLong *) shape);
return shapeBufferRet;
}
else {
Nd4jLong *newShape = new Nd4jLong[rank];
for(int i = 0; i < rank; i++) {
newShape[i] = shape[i];
}
Nd4jLong *shapeBufferRet = shape::shapeBuffer(rank, nd4j::FLOAT32, newShape);
delete[] newShape;
return shapeBufferRet;
}
}
INLINEDEF _CUDA_HD bool strideDescendingCAscendingF(const Nd4jLong *shapeBuffer) {
int rank = shape::rank(shapeBuffer);
Nd4jLong *strides = shape::stride(const_cast<Nd4jLong*>(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;
}
}
INLINEDEF _CUDA_HD bool isContiguous(const Nd4jLong* shapeInfo) {
return (order(shapeInfo) == 'c') && (elementWiseStride(shapeInfo) > 0);
}
//////////////////////////////////////////////////////////////////////////
// copy-past from java hasDefaultStridesForShape function
INLINEDEF _CUDA_HD bool areStridesDefault(const Nd4jLong* shapeInfo) {
const int rank = shape::rank(shapeInfo);
if(rank == 0)
return true;
if(!strideDescendingCAscendingF(shapeInfo))
return false;
Nd4jLong defaultShapeInfo[MAX_SHAPEINFOLENGTH];
memcpy(defaultShapeInfo, shapeInfo, shape::shapeInfoByteLength(shapeInfo));
shape::updateStrides(defaultShapeInfo, shape::order(shapeInfo));
bool result = true;
for(int i = rank+1; i <= 2*rank; ++i)
if(defaultShapeInfo[i] != shapeInfo[i]) {
result = false;
break;
}
return result;
}
// INLINEDEF _CUDA_H bool reshapeC(const int oldRank, Nd4jLong* oldShape, const int newRank, Nd4jLong* newShapeOf, bool isFOrder, Nd4jLong* target) {
// int oldnd;
// Nd4jLong* olddims = shape::copyOf(oldRank, shape::shapeOf(oldShape));
// Nd4jLong* oldstrides = shape::copyOf(oldRank, shape::stride(oldShape));
// int np, op, last_stride;
// int oi, oj, ok, ni, nj, nk;
// Nd4jLong* newStrides = new Nd4jLong[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] = 0;
// target[shape::shapeInfoLength(newRank) - 1] = isFOrder ? 102 : 99;
// nd4j::ArrayOptions::setDataType(target, nd4j::ArrayOptions::dataType(oldShape));
// delete[] olddims;
// delete[] oldstrides;
// delete[] newStrides;
// return true;
// }
// INLINEDEF _CUDA_H bool reshapeC(const int oldRank, const Nd4jLong* oldShapeInfo, const int newRank, const Nd4jLong* newShape, const bool isFOrder, Nd4jLong* newShapeInfo) {
// // PLEASE NOTE !: reshaping not-permuted (ews=1) array in f order (except insertion/elimination of unities) will definitely cause allocation of new buffer for array elements
// // also this function takes into account identical shapes automatically, namely in that case oldShapeInfo is completely copied to newShapeInfo
// const int newOrder = isFOrder ? 102 : 99;
// const int oldOrder = oldShapeInfo[2 * oldRank + 3];
// newShapeInfo[0] = newRank;
// memcpy(newShapeInfo + 1, newShape, newRank * sizeof(Nd4jLong));
// Nd4jLong* newStrides = shape::stride(newShapeInfo);
// const Nd4jLong* oldShape = shape::shapeOf(const_cast<Nd4jLong*>(oldShapeInfo));
// const Nd4jLong* oldStrides = shape::stride(const_cast<Nd4jLong*>(oldShapeInfo));
// int oldStart(0), oldStop(1), newStart(0), newStop(1), newDim, oldDim;
// while (newStart < newRank && oldStart < oldRank) {
// newDim = newShape[newStart];
// oldDim = oldShape[oldStart];
// while (newDim != oldDim)
// if (newDim < oldDim) newDim *= newShape[newStop++];
// else oldDim *= oldShape[oldStop++];
// // ------ Check whether the original axes can be combined ------ //
// for (int i = oldStart; i < oldStop - 1; i++) {
// if(oldShape[i] == 1) { // ignore strides like {...,1,1,...}
// if(oldOrder == 102) ++oldStart;
// continue;
// }
// if(oldOrder == 102 && oldStrides[i + 1] != oldShape[i] * oldStrides[i])
// return false; // not contiguous enough
// if(oldOrder == 99 && oldStrides[i] != oldShape[i + 1] * oldStrides[i + 1])
// return false; // not contiguous enough
// }
// // ------ Calculate new strides for all axes currently worked with ------ //
// if(isFOrder) {
// newStrides[newStart] = oldStrides[oldStart];
// for (int i = newStart + 1; i < newStop; ++i)
// newStrides[i] = newStrides[i - 1] * newShape[i - 1];
// }
// else {
// newStrides[newStop - 1] = oldStrides[oldStop - 1];
// for (int i = newStop - 1; i > newStart; --i)
// newStrides[i - 1] = newStrides[i] * newShape[i];
// }
// newStart = newStop++;
// oldStart = oldStop++;
// }
// newShapeInfo[2 * newRank + 3] = shape::order(oldShapeInfo); // order
// newShapeInfo[2 * newRank + 2] = shape::elementWiseStride(oldShapeInfo); // ews
// newShapeInfo[2 * newRank + 1] = shape::type(oldShapeInfo); // type
// return true;
// }
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_H bool reshapeC(const int oldRank, const Nd4jLong* oldShapeInfo, const int newRank, const Nd4jLong* newShape, Nd4jLong* newShapeInfo) {
// PLEASE NOTE !: reshaping not-permuted (ews=1) array in f order (except insertion/elimination of unities) will definitely cause allocation of new buffer for array elements
// also this function takes into account identical shapes automatically, namely in that case oldShapeInfo is completely copied to newShapeInfo
newShapeInfo[0] = newRank;
memcpy(newShapeInfo + 1, newShape, newRank * sizeof(Nd4jLong));
Nd4jLong* newStrides = shape::stride(newShapeInfo);
const Nd4jLong* oldShape = shape::shapeOf(const_cast<Nd4jLong*>(oldShapeInfo));
const Nd4jLong* oldStrides = shape::stride(const_cast<Nd4jLong*>(oldShapeInfo));
int oldStart(0), oldStop(1), newStart(0), newStop(1), newDim, oldDim;
while (newStart < newRank && oldStart < oldRank) {
newDim = newShape[newStart];
oldDim = oldShape[oldStart];
while (newDim != oldDim)
if (newDim < oldDim) newDim *= newShape[newStop++];
else oldDim *= oldShape[oldStop++];
// ------ Check whether the original axes can be combined ------ //
for (int step = 1, i = oldStart; i < oldStop - 1; ++i) {
if(oldShape[i] == 1) // skip unity-dimension and its stride
continue;
while((i + step) < oldRank && oldShape[i + step] == 1)
++step; // skip following unity-dimensions and its strides if such are present
if((i + step) < oldRank && oldStrides[i] != oldShape[i + step] * oldStrides[i + step])
return false; // not contiguous enough
}
newStrides[newStop - 1] = oldStrides[oldStop - 1];
for (int i = newStop - 1; i > newStart; --i)
newStrides[i - 1] = newStrides[i] * newShape[i];
newStart = newStop++;
oldStart = oldStop++;
}
newShapeInfo[2 * newRank + 3] = shape::order(oldShapeInfo); // order
newShapeInfo[2 * newRank + 2] = shape::elementWiseStride(oldShapeInfo); // ews
newShapeInfo[2 * newRank + 1] = shape::type(oldShapeInfo); // type
return true;
}
INLINEDEF _CUDA_H bool canReshape(const int oldRank, Nd4jLong* oldShape, const int newRank, Nd4jLong* newShapeOf, bool isFOrder) {
int oldnd;
Nd4jLong* oldDims = shape::copyOf(oldRank, shape::shapeOf(oldShape));
Nd4jLong* oldStrides = shape::copyOf(oldRank, shape::stride(oldShape));
int np, op, last_stride;
int oldStart, oldStop, ok, newStart, newStop, nk;
auto newStrides = new Nd4jLong[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 (oldStart = 0; oldStart < oldRank; oldStart++) {
if (shape::shapeOf(oldShape)[oldStart] != 1) {
oldDims[oldnd] = shape::shapeOf(oldShape)[oldStart];
oldStrides[oldnd] = shape::stride(oldShape)[oldStart];
oldnd++;
}
}
np = 1;
for (newStart = 0; newStart < newRank; newStart++) {
np *= newShapeOf[newStart];
}
op = 1;
for (oldStart = 0; oldStart < oldnd; oldStart++) {
op *= oldDims[oldStart];
}
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;
}
/* oldStart to oldStop and newStart to newStop give the axis ranges currently worked with */
oldStart = 0;
oldStop = 1;
newStart = 0;
newStop = 1;
while (newStart < newRank && oldStart < oldnd) {
np = newShapeOf[newStart];
op = oldDims[oldStart];
while (np != op) {
if (np < op) {
/* Misses trailing 1s, these are handled later */
np *= newShapeOf[newStop++];
} else {
op *= oldDims[oldStop++];
}
}
/* Check whether the original axes can be combined */
for (ok = oldStart; ok < oldStop - 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[newStart] = oldStrides[oldStart];
for (nk = newStart + 1; nk < newStop; nk++) {
newStrides[nk] = newStrides[nk - 1] * newShapeOf[nk - 1];
}
} else {
/* C order */
newStrides[newStop - 1] = oldStrides[oldStop - 1];
for (nk = newStop - 1; nk > newStart; nk--) {
newStrides[nk - 1] = newStrides[nk] * newShapeOf[nk];
}
}
newStart = newStop++;
oldStart = oldStop++;
}
delete[] oldDims;
delete[] oldStrides;
delete[] newStrides;
return true;
}
// this function checks the consistence of dimensions with array rank (negative dimensions, too large dimensions, too big number of dimensions)
// also it sorts input array of dimensions, this operation is also necessary for creating TAD object
INLINEDEF _CUDA_H void checkDimensions(const int rank, std::vector<int>& dimensions) {
int dimSize = dimensions.size();
if(dimSize == 0)
throw std::runtime_error("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 std::runtime_error("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 std::runtime_error("shape::checkDimensions method: the negative dimension is still present in input array after transform or the too big dimension is present ( > rank of array) !");
}
// max array is outer for min array, min array is sub-array of max array
// function calculates the coordinates of min array (and saves them into minIdxs) given coordinates of max array (already stored in maxIdxs)
INLINEDEF _CUDA_HD void maxIndToMinInd(Nd4jLong* maxIdxs, Nd4jLong* minIdxs, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude, int dimsLen) {
const auto maxRank = shape::rank(maxShapeInfo);
const auto minRank = shape::rank(minShapeInfo);
// if(minRank >= maxRank)
// throw std::runtime_error("shape::maxIndToMinInd method: rank of min array should be smaller then rank of max array!");
if(dimsLen == -1)
dimsLen = maxRank - minRank; // if size is not given (= -1) then it is equal to ranks difference
if(maxRank == minRank) {
if(dimsToExclude == nullptr) { // --> means dimsToExclude == {0,1,2,...,dimsLen-1}
for (int i = 0; i < maxRank; ++i) {
if(i < dimsLen)
minIdxs[i] = maxIdxs[i];
else {
if(maxIdxs[i] > minShapeInfo[i + 1])
minIdxs[i] = maxIdxs[i] % minShapeInfo[i + 1];
else if(maxIdxs[i] == minShapeInfo[i + 1])
minIdxs[i] = 0;
else
minIdxs[i] = maxIdxs[i];
}
}
}
else {
for (int i = 0, dim = 0; i < maxRank; ++i) {
if(dim < dimsLen && dimsToExclude[dim] == i) {
minIdxs[i] = maxIdxs[i];
++dim;
continue;
}
if(maxIdxs[i] > minShapeInfo[i + 1])
minIdxs[i] = maxIdxs[i] % minShapeInfo[i + 1];
else if(maxIdxs[i] == minShapeInfo[i + 1])
minIdxs[i] = 0;
else
minIdxs[i] = maxIdxs[i];
}
}
}
else {
if(dimsToExclude == nullptr) { // --> means dimsToExclude == {0,1,2,...,dimsLen-1}
for (int i = 0; i < minRank; ++i) {
if(maxIdxs[i + dimsLen] > minShapeInfo[i + 1])
minIdxs[i] = maxIdxs[i + dimsLen] % minShapeInfo[i + 1];
else if(maxIdxs[i + dimsLen] == minShapeInfo[i + 1])
minIdxs[i] = 0;
else
minIdxs[i] = maxIdxs[i + dimsLen];
}
}
else {
for (int minI = 0, maxI = 0, dim = 0; maxI < maxRank; ++maxI) {
if(dim < dimsLen && dimsToExclude[dim] == maxI) {
++dim;
continue;
}
if(maxIdxs[maxI] == minShapeInfo[minI + 1])
minIdxs[minI] = 0;
else if(maxIdxs[maxI] > minShapeInfo[minI + 1])
minIdxs[minI] = maxIdxs[maxI] % minShapeInfo[minI + 1];
else
minIdxs[minI] = maxIdxs[maxI];
++minI;
}
}
}
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD Nd4jLong subArrayIndex(const Nd4jLong maxIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude, const int dimsLen) {
Nd4jLong maxIdxs[MAX_RANK];
shape::index2coords(shape::rank(maxShapeInfo), const_cast<Nd4jLong *>(maxShapeInfo)+1, const_cast<Nd4jLong&>(maxIdx), maxIdxs, shape::order(maxShapeInfo));
Nd4jLong minIdxs[MAX_RANK];
maxIndToMinInd(maxIdxs, minIdxs, maxShapeInfo, minShapeInfo, dimsToExclude, dimsLen);
return sub2Ind(shape::rank(minShapeInfo), minShapeInfo + 1, minIdxs);
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD Nd4jLong subArrayOffset(const Nd4jLong maxIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude, const int dimsLen) {
Nd4jLong maxIdxs[MAX_RANK];
shape::index2coords(shape::rank(maxShapeInfo), const_cast<Nd4jLong *>(maxShapeInfo)+1, const_cast<Nd4jLong&>(maxIdx), maxIdxs, shape::order(maxShapeInfo));
Nd4jLong minIdxs[MAX_RANK];
maxIndToMinInd(maxIdxs, minIdxs, maxShapeInfo, minShapeInfo, dimsToExclude, dimsLen);
return getOffset(0, minShapeInfo + 1, minShapeInfo + shape::rank(minShapeInfo) + 1, minIdxs, shape::rank(minShapeInfo));
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD int outerArrayOffsets(Nd4jLong* maxOffsets, const Nd4jLong minIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude) {
const auto rankMin = shape::rank(minShapeInfo);
const auto rankMax = shape::rank(maxShapeInfo);
// if(rankMin >= rankMax)
// throw std::runtime_error("shape::subArrayIndex method: rank of min array should be smaller then rank of max array!");
// if(rankMax > MAX_RANK/2)
// throw std::runtime_error("shape::subArrayIndex method: rank of max array should be <= MAX_RANK/2 !");
const auto diff = rankMax - rankMin; // the size of dimsToExclude is equal to diff
Nd4jLong buffer[MAX_RANK];
Nd4jLong* indices = buffer;
Nd4jLong* increment = buffer + MAX_RANK/2;
int N, minI, maxI;
// calculate min per-dim-indices which corresponds to absolute minIdx index
shape::index2coords(rankMin, minShapeInfo + 1, minIdx, indices, order(minShapeInfo));
// transform storage indices to contain per-dim max indices, purpose - memory saving
// fill increment array as well
if(dimsToExclude == nullptr) { // means dimsToExclude == {0,1,2,...,diff-1}
for(minI = rankMin - 1, maxI = rankMax-1; maxI >= diff; --maxI, --minI) {
increment[maxI] = (maxShapeInfo[maxI+1] == minShapeInfo[minI+1]) ? 0 : minShapeInfo[minI+1];
indices[maxI] = indices[minI];
}
for(maxI = 0; maxI < diff; ++maxI) {
increment[maxI] = 1;
indices[maxI] = 0;
}
}
else {
for(N = diff-1, minI = rankMin - 1, maxI = rankMax - 1; maxI >= 0; --maxI) {
if(N >= 0 && dimsToExclude[N] == maxI) {
increment[maxI] = 1;
indices[maxI] = 0;
--N;
}
else {
increment[maxI] = (maxShapeInfo[maxI+1] == minShapeInfo[minI+1]) ? 0 : minShapeInfo[minI+1];
indices[maxI] = indices[minI--];
}
}
}
maxI = rankMax-1;
N = 0;
int step;
maxOffsets[N++] = shape::getOffset(0, maxShapeInfo + 1, maxShapeInfo + rankMax + 1, indices, rankMax);
// nested loops - producing of absolute indices for max array
while(maxI >= 0) {
if(increment[maxI] != 0) {
indices[maxI] += increment[maxI];
if(indices[maxI] >= maxShapeInfo[maxI+1]) {
indices[maxI] %= increment[maxI]; // restore initial value of indices[maxI]
step = -1;
}
else {
maxOffsets[N++] = shape::getOffset(0, maxShapeInfo + 1, maxShapeInfo + rankMax + 1, indices, rankMax);
step = rankMax - 1 - maxI;
}
}
else if(maxI == rankMax - 1)
step = -1;
maxI += step;
}
return N;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD int outerArrayIndexes(Nd4jLong* maxIdxs, const Nd4jLong minIdx, const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, const int* dimsToExclude) {
const auto rankMin = shape::rank(minShapeInfo);
const auto rankMax = shape::rank(maxShapeInfo);
// if(rankMin >= rankMax)
// throw std::runtime_error("shape::subArrayIndex method: rank of min array should be smaller then rank of max array!");
// if(rankMax > MAX_RANK/2)
// throw std::runtime_error("shape::subArrayIndex method: rank of max array should be <= MAX_RANK/2 !");
const auto diff = rankMax - rankMin; // the size of dimsToExclude is equal to diff
Nd4jLong buffer[MAX_RANK];
Nd4jLong* indices = buffer;
Nd4jLong* increment = buffer + MAX_RANK/2;
int N, minI, maxI;
// calculate min per-dim-indices which corresponds to absolute minIdx index
shape::index2coords(rankMin, minShapeInfo + 1, minIdx, indices, order(minShapeInfo));
// transform storage indices to contain per-dim max indices, purpose - memory saving
// fill increment array as well
if(dimsToExclude == nullptr) { // means dimsToExclude == {0,1,2,...,diff-1}
for(minI = rankMin - 1, maxI = rankMax-1; maxI >= diff; --maxI, --minI) {
increment[maxI] = (maxShapeInfo[maxI+1] == minShapeInfo[minI+1]) ? 0 : minShapeInfo[minI+1];
indices[maxI] = indices[minI];
}
for(maxI = 0; maxI < diff; ++maxI) {
increment[maxI] = 1;
indices[maxI] = 0;
}
}
else {
for(N = diff-1, minI = rankMin - 1, maxI = rankMax - 1; maxI >= 0; --maxI) {
if(N >= 0 && dimsToExclude[N] == maxI) {
increment[maxI] = 1;
indices[maxI] = 0;
--N;
}
else {
increment[maxI] = (maxShapeInfo[maxI+1] == minShapeInfo[minI+1]) ? 0 : minShapeInfo[minI+1];
indices[maxI] = indices[minI--];
}
}
}
maxI = rankMax-1;
N = 0;
int step;
maxIdxs[N++] = sub2Ind(rankMax, maxShapeInfo + 1, indices);
// nested loops - producing of absolute indices for max array
while(maxI >= 0) {
if(increment[maxI] != 0) {
indices[maxI] += increment[maxI];
if(indices[maxI] >= maxShapeInfo[maxI+1]) {
indices[maxI] %= increment[maxI]; // restore initial value of indices[maxI]
step = -1;
}
else {
maxIdxs[N++] = sub2Ind(rankMax, maxShapeInfo + 1, indices);
step = rankMax - 1 - maxI;
}
}
else if(maxI == rankMax - 1)
step = -1;
maxI += step;
}
return N;
}
INLINEDEF _CUDA_HD void shapeOldScalar(nd4j::DataType dataType, Nd4jLong* const buffer, const char order) {
buffer[0] = 2;
buffer[1] = 1;
buffer[2] = 1;
buffer[3] = 1;
buffer[4] = 1;
buffer[6] = 1;
buffer[7] = (int)order;
nd4j::ArrayOptions::setDataType(buffer, dataType);
}
template <typename T1, typename T2>
INLINEDEF _CUDA_H void convertT(T1 *from, T2 *to, Nd4jLong length) {
for (Nd4jLong e = 0; e < length; e++)
to[e] = (T2) from[e];
};
//////////////////////////////////////////////////////////////////////
INLINEDEF void calcOffsets(const Nd4jLong* shapeInfo, Nd4jLong* offsets, const char order) {
// firstly consider simple case when ews > 0
const Nd4jLong ews = shape::elementWiseStride(shapeInfo);
if(ews > 0) {
// set offset for first sub-array, it is equal to zero always
offsets[0] = 0;
Nd4jLong e = 0;
if(order != shape::order(shapeInfo))
for(int i = 1; i <= shape::rank(shapeInfo); ++i)
if(shapeInfo[i] != 1)
++e; //check whether input is CommonVector
if(order == shape::order(shapeInfo) || e == 1) { // e==1 means common vector
e = 1;
Nd4jLong len = shape::length(shapeInfo);
while(e < len)
offsets[e++] = offsets[e - 1] + ews;
return;
}
}
shape::calcOffsets(shape::rank(shapeInfo), shape::shapeOf(const_cast<Nd4jLong*>(shapeInfo)), shape::stride(const_cast<Nd4jLong*>(shapeInfo)), offsets, order);
}
//////////////////////////////////////////////////////////////////////
INLINEDEF void calcOffsets(const int rank, const Nd4jLong* shape, const Nd4jLong* strides, Nd4jLong* offsets, const char order) {
// if(false) { // tests showed that this code did calculation notably slower even for big N
// Nd4jLong indexes[MAX_RANK];
// PRAGMA_OMP_PARALLEL_FOR_ARGS(private(indexes))
// for (Nd4jLong i = 0; i < N; ++i) {
// shape::index2coords(rank, shape, i, indexes);
// subArrOffsets[i] = 0;
// for (int j = 0; j < rank; ++j)
// if(shape[j] != 1)
// subArrOffsets[i] += indexes[j] * strides[j];
// }
// return;
// }
// set offset for first sub-array, it is equal to zero always
offsets[0] = 0;
Nd4jLong* idx = new Nd4jLong[rank];
Nd4jLong* offsetPerDim = new Nd4jLong[rank];
memset(idx, 0, sizeof(Nd4jLong) * rank);
PRAGMA_OMP_SIMD
for (int k = 0; k < rank; ++k)
offsetPerDim[k] = (shape[k] - 1) * strides[k];
Nd4jLong init = 0, i = 1;
// nested loops - calculation of sub-array offsets
if(order == 'c') {
Nd4jLong rankMinusOne = rank - 1, j = rankMinusOne;
while(j >= 0) {
if(shape[j] == 1) { --j; continue; } // ignore dimensions equal to unity
if(j == rankMinusOne) { // last dimension
for(int l = 1; l < shape[j]; ++l)
offsets[i++] = offsets[i - 1] + strides[j];
--j;
}
else if(idx[j] < shape[j] - 1) {
init += strides[j];
offsets[i++] = init;
++idx[j];
j = rankMinusOne;
}
else {
init -= offsetPerDim[j];
idx[j--] = 0;
}
}
}
else {
Nd4jLong j = 0;
while(j < rank) {
if(shape[j] == 1) { ++j; continue; } // ignore dimensions equal to unity
if(j == 0) { // last dimension
for(int l = 1; l < shape[j]; ++l)
offsets[i++] = offsets[i - 1] + strides[j];
++j;
}
else if(idx[j] < shape[j] - 1) {
init += strides[j];
offsets[i++] = init;
++idx[j];
j = 0;
}
else {
init -= offsetPerDim[j];
idx[j++] = 0;
}
}
}
delete []idx;
delete []offsetPerDim;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF void _CUDA_HD setEws(Nd4jLong* shapeInfo, Nd4jLong len) {
const int rank = shape::rank(shapeInfo);
const Nd4jLong* shape = shape::shapeOf(shapeInfo);
const Nd4jLong* strides = shape::stride(shapeInfo);
const char order = shape::order(shapeInfo);
Nd4jLong* ews = shape::ews(shapeInfo);
if(len == -1) // calculate array length if it is not given
len = shape::length(shapeInfo);
if(len <= 1) { // empty, scalar or unity-vector case
*ews = 1;
return;
}
int nonUnityDim(0);
if(shape::isCommonVector(shapeInfo, nonUnityDim)) {
*ews = strides[nonUnityDim];
return;
}
// check last(c)/first(f) dimension, it should be equal to 1
if((order == 'c' && shape[rank - 1] != 1 && strides[rank - 1] != 1) || (order == 'f' && shape[0] != 1 && strides[0] != 1)) {
*ews = 0;
return;
}
Nd4jLong correctStride = 1;
if(order == 'c') {
for (int i = rank - 2; i >= 0 ; i--) {
correctStride *= shape[i + 1];
if(shape[i] == 1)
continue;
if(correctStride != strides[i]) {
*ews = 0;
return;
}
}
}
else {
for (int i = 1; i < rank; ++i) {
correctStride *= shape[i - 1];
if(shape[i] == 1)
continue;
if(correctStride != strides[i]) {
*ews = 0;
return;
}
}
}
*ews = 1;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD void setOrderAndEws(Nd4jLong* shapeInfo, Nd4jLong len) {
const int rank = shape::rank(shapeInfo);
const Nd4jLong* shape = shape::shapeOf(shapeInfo);
const Nd4jLong* strides = shape::stride(shapeInfo);
const char order = shape::order(shapeInfo);
Nd4jLong* ews = shape::ews(shapeInfo);
if(len == -1) // calculate array length if it is not given
len = shape::length(shapeInfo);
if(len <= 1) { // empty, scalar or unity-vector case
*ews = 1;
return;
}
int nonUnityDim(0);
if(shape::isCommonVector(shapeInfo, nonUnityDim)) { // in this case we don't change order
*ews = strides[nonUnityDim];
return;
}
// check if strides are contiguous in respect to c-order
// firstly check last stride, it should be equal to 1
if (strides[rank - 1] == 1 || shape[rank - 1] == 1) { // last dimension is ok, go on through the rest dimensions in reverse order
Nd4jLong correctStride = 1;
bool cContiguous = true;
for (int i = rank - 2; i >= 0 ; i--) {
correctStride *= shape[i + 1];
if(shape[i] == 1)
continue;
if(correctStride != strides[i]) {
cContiguous = false;
break;
}
}
if(cContiguous) {
*ews = 1;
shapeInfo[shape::shapeInfoLength(rank) - 1] = 99;
return;
}
}
// now check if strides are contiguous in respect to f-order
// firstly check first stride, it should be equal to 1
if(strides[0] == 1 || shape[0] == 1) { // first dimension is ok, go on through the rest dimensions
Nd4jLong correctStride = 1;
bool fContiguous = true;
for (int i = 1; i < rank; ++i) {
correctStride *= shape[i - 1];
if(shape[i] == 1)
continue;
if(correctStride != strides[i]) {
fContiguous = false;
break;
}
}
if(fContiguous) {
*ews = 1;
shapeInfo[shape::shapeInfoLength(rank) - 1] = 102;
return;
}
}
*ews = 0;
// if both cContiguous and fContiguous are false then order is preserved
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD void calcSubArrShapeAndOffsets(const Nd4jLong* wholeShapeInfo, const Nd4jLong numOfSubArrs, const int dimsSize, const int* dimsToExclude, Nd4jLong* subArrShapeInfo, Nd4jLong* subArrOffsets, bool keepUnitiesInShape) {
const int rank = shape::rank(wholeShapeInfo);
if(dimsSize == rank || dimsSize == 0) { // means there is one sub-array and it coincides with whole array, return copy of wholeShapeInfo and one zero offset in this case
memcpy(subArrShapeInfo, wholeShapeInfo, shape::shapeInfoLength(rank) * sizeof(Nd4jLong));
*subArrOffsets = 0;
return;
}
Nd4jLong *outShapeInfo = new Nd4jLong[shape::shapeInfoLength(wholeShapeInfo)];
memcpy(outShapeInfo, wholeShapeInfo, shape::shapeInfoByteLength(wholeShapeInfo));
Nd4jLong* shape = new Nd4jLong[dimsSize];
Nd4jLong* strides = new Nd4jLong[dimsSize];
const int subArrRank = keepUnitiesInShape ? rank : rank - dimsSize;
Nd4jLong* shapeNoUnities = nullptr;
if(!keepUnitiesInShape)
shapeNoUnities = new Nd4jLong[subArrRank];
Nd4jLong subArrLen = 1;
for(int k = subArrRank - 1, j = dimsSize - 1, i = rank - 1; i >= 0; --i) {
if(j >= 0 && i == dimsToExclude[j]) {
strides[j] = shape::stride(outShapeInfo)[i];
shape[j--] = shape::shapeOf(outShapeInfo)[i];
shape::shapeOf(outShapeInfo)[i] = 1;
}
else {
subArrLen *= shape::shapeOf(outShapeInfo)[i];
if(!keepUnitiesInShape)
shapeNoUnities[k--] = shape::shapeOf(outShapeInfo)[i];
}
}
// evaluate ews
shape::setEws(outShapeInfo, subArrLen);
// calculation of sub-array offsets (subArrOffsets)
shape::calcOffsets(dimsSize, shape, strides, subArrOffsets);
// remove unities from outShapeInfo if required
if(!keepUnitiesInShape) {
shape::reshapeC(rank, outShapeInfo, subArrRank, shapeNoUnities, subArrShapeInfo);
delete []shapeNoUnities;
}
else
memcpy(subArrShapeInfo, outShapeInfo, shape::shapeInfoLength(subArrRank) * sizeof(Nd4jLong));
delete []strides;
delete []shape;
delete []outShapeInfo;
}
//////////////////////////////////////////////////////////////////////
INLINEDEF void _CUDA_HD index2coords(const int rank, const Nd4jLong *shape, Nd4jLong index, Nd4jLong *coords, const char order) {
Nd4jLong arrLen = shape::prodLong(shape, rank);
shape::index2coords(rank, shape, index, arrLen, coords, order);
}
INLINEDEF void _CUDA_HD index2coords(const int rank, const Nd4jLong *shape, Nd4jLong index, Nd4jLong arrLen, Nd4jLong *coords, const char order) {
if(order == 'c') {
for(int i = 0; i < rank; i++) {
arrLen /= shape[i];
if(arrLen > 0 && shape[i] > 1) {
coords[i] = index / arrLen;
index %= arrLen;
}
else
coords[i] = 0;
}
}
else {
for(int i = rank - 1; i >= 0; i--) {
arrLen /= shape[i];
if(arrLen > 0 && shape[i] > 1) {
coords[i] = index / arrLen;
index %= arrLen;
}
else
coords[i] = 0;
}
}
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD void calcOffsets(const Nd4jLong *xShapeInfo, Nd4jLong*& xOffsets, const Nd4jLong *yShapeInfo, Nd4jLong*& yOffsets, const Nd4jLong* zShapeInfo, Nd4jLong*& zOffsets, const char order) {
// we assume all array have same length
const Nd4jLong len = shape::length(xShapeInfo);
const Nd4jLong xEws = shape::elementWiseStride(xShapeInfo);
const Nd4jLong yEws = shape::elementWiseStride(yShapeInfo);
const Nd4jLong zEws = shape::elementWiseStride(zShapeInfo);
const char xOrder = shape::order(xShapeInfo);
const char yOrder = shape::order(yShapeInfo);
const char zOrder = shape::order(zShapeInfo);
const bool shapesSame = shape::shapeEquals(xShapeInfo, yShapeInfo, zShapeInfo);
if (xEws == 1 && yEws == 1 && zEws == 1 && xOrder == yOrder && xOrder == zOrder && (xOrder == 'c' || shapesSame)) {
xOffsets = yOffsets = zOffsets = nullptr;
}
else if(xEws == 1 && yEws == 1 && xOrder == yOrder && (xOrder == 'c' || shape::shapeEquals(xShapeInfo, yShapeInfo))) {
xOffsets = yOffsets = nullptr;
zOffsets = new Nd4jLong[len];
shape::calcOffsets(zShapeInfo, zOffsets, xOrder);
}
else if(xEws == 1 && zEws == 1 && xOrder == zOrder && (xOrder == 'c' || shape::shapeEquals(xShapeInfo, zShapeInfo))) {
xOffsets = zOffsets = nullptr;
yOffsets = new Nd4jLong[len];
shape::calcOffsets(yShapeInfo, yOffsets, xOrder);
}
else if(yEws == 1 && zEws == 1 && yOrder == zOrder && (yOrder == 'c' || shape::shapeEquals(yShapeInfo, zShapeInfo))) {
yOffsets = zOffsets = nullptr;
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets, yOrder);
}
else if(xEws == 1) {
xOffsets = nullptr;
#pragma omp parallel sections
{
#pragma omp section
{
yOffsets = new Nd4jLong[len];
shape::calcOffsets(yShapeInfo, yOffsets, xOrder);
}
#pragma omp section
{
zOffsets = new Nd4jLong[len];
shape::calcOffsets(zShapeInfo, zOffsets, xOrder);
}
}
}
else if(yEws == 1) {
yOffsets = nullptr;
#pragma omp parallel sections
{
#pragma omp section
{
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets, yOrder);
}
#pragma omp section
{
zOffsets = new Nd4jLong[len];
shape::calcOffsets(zShapeInfo, zOffsets, yOrder);
}
}
}
else if(zEws == 1) {
zOffsets = nullptr;
#pragma omp parallel sections
{
#pragma omp section
{
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets, zOrder);
}
#pragma omp section
{
yOffsets = new Nd4jLong[len];
shape::calcOffsets(yShapeInfo, yOffsets, zOrder);
}
}
}
else if(shape::haveSameShapeAndStrides(xShapeInfo, yShapeInfo, zShapeInfo)) {
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets);
yOffsets = zOffsets = xOffsets;
}
else if(shape::haveSameShapeAndStrides(xShapeInfo, yShapeInfo)) {
#pragma omp parallel sections
{
#pragma omp section
{
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets);
}
#pragma omp section
{
zOffsets = new Nd4jLong[len];
shape::calcOffsets(zShapeInfo, zOffsets);
}
}
yOffsets = xOffsets;
}
else if(shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {
#pragma omp parallel sections
{
#pragma omp section
{
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets);
}
#pragma omp section
{
yOffsets = new Nd4jLong[len];
shape::calcOffsets(yShapeInfo, yOffsets);
}
}
zOffsets = xOffsets;
}
else {
#pragma omp parallel sections
{
#pragma omp section
{
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets);
}
#pragma omp section
{
yOffsets = new Nd4jLong[len];
shape::calcOffsets(yShapeInfo, yOffsets);
}
#pragma omp section
{
zOffsets = new Nd4jLong[len];
shape::calcOffsets(zShapeInfo, zOffsets);
}
}
}
}
//////////////////////////////////////////////////////////////////////
INLINEDEF _CUDA_HD void calcOffsets(const Nd4jLong *xShapeInfo, Nd4jLong*& xOffsets, const Nd4jLong *yShapeInfo, Nd4jLong*& yOffsets, const char order) {
// we assume all array have same length
const Nd4jLong len = shape::length(xShapeInfo);
const Nd4jLong xEws = shape::elementWiseStride(xShapeInfo);
const Nd4jLong yEws = shape::elementWiseStride(yShapeInfo);
const char xOrder = shape::order(xShapeInfo);
const char yOrder = shape::order(yShapeInfo);
const bool shapesSame = shape::shapeEquals(xShapeInfo, yShapeInfo);
if (xEws == 1 && yEws == 1 && xOrder == yOrder && (xOrder == 'c' || shapesSame)) {
xOffsets = yOffsets = nullptr;
}
else if(xEws == 1) {
xOffsets = nullptr;
yOffsets = new Nd4jLong[len];
shape::calcOffsets(yShapeInfo, yOffsets, xOrder);
}
else if(yEws == 1) {
yOffsets = nullptr;
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets, yOrder);
}
else if(shape::haveSameShapeAndStrides(xShapeInfo, yShapeInfo)) {
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets);
yOffsets = xOffsets;
}
else {
#pragma omp parallel sections
{
#pragma omp section
{
xOffsets = new Nd4jLong[len];
shape::calcOffsets(xShapeInfo, xOffsets);
}
#pragma omp section
{
yOffsets = new Nd4jLong[len];
shape::calcOffsets(yShapeInfo, yOffsets);
}
}
}
}
}
#endif /* SHAPE_H_ */
|
bl_dgemm_util.c | #include "bl_dgemm.h"
// XB = XA
void mkl_copym(
int m,
int n,
double *XA,
int lda,
double *XB,
int ldb
)
{
int ii;
int incx = 1;
int incy = 1;
#pragma omp parallel for schedule( dynamic )
for ( ii = 0; ii < n; ii ++ ) {
double *cur_buf_a, *cur_buf_b;
cur_buf_a = &XA[ ii * lda ];
cur_buf_b = &XB[ ii * ldb ];
dcopy_( &m, cur_buf_a, &incx, cur_buf_b, &incy);
}
}
// XB = XB + alpha * XA
void mkl_axpym(
int m,
int n,
double *buf_alpha,
double *XA,
int lda,
double *XB,
int ldb
)
{
int ii, jj;
int incx = 1;
int incy = 1;
#pragma omp parallel for schedule( dynamic )
for ( ii = 0; ii < n; ii ++ ) {
double *cur_buf_a, *cur_buf_b;
cur_buf_a = &XA[ ii * lda ];
cur_buf_b = &XB[ ii * ldb ];
daxpy_( &m, buf_alpha, cur_buf_a, &incx, cur_buf_b, &incy );
}
//for ( ii = 0; ii < n; ii ++ ) {
// for ( jj = 0; jj < m; jj ++ ) {
// XB[ ii * ldb + jj ] += *buf_alpha * XA[ ii * lda + jj ];
// }
//}
}
double *bl_malloc_aligned(
int m,
int n,
int size
)
{
double *ptr;
int err;
err = posix_memalign( (void**)&ptr, (size_t)GEMM_SIMD_ALIGN_SIZE, size * m * n );
if ( err ) {
printf( "bl_malloc_aligned(): posix_memalign() failures" );
exit( 1 );
}
return ptr;
}
void bl_free( void *p ) {
free( p );
}
void bl_dgemm_printmatrix(
double *A,
int lda,
int m,
int n
)
{
int i, j;
for ( i = 0; i < m; i ++ ) {
for ( j = 0; j < n; j ++ ) {
printf("%2.2lf\t", A[j * lda + i]);
}
printf("\n");
}
}
/*
* The timer functions are copied directly from BLIS 0.2.0
*
*/
static double gtod_ref_time_sec = 0.0;
double bl_clock( void )
{
return bl_clock_helper();
}
#if BL_OS_WINDOWS
// --- Begin Windows build definitions -----------------------------------------
double bl_clock_helper()
{
LARGE_INTEGER clock_freq = {0};
LARGE_INTEGER clock_val;
BOOL r_val;
r_val = QueryPerformanceFrequency( &clock_freq );
if ( r_val == 0 )
{
fprintf( stderr, "\nblislab: %s (line %lu):\nblislab: %s \n", __FILE__, __LINE__, "QueryPerformanceFrequency() failed" );
fflush( stderr );
abort();
}
r_val = QueryPerformanceCounter( &clock_val );
if ( r_val == 0 )
{
fprintf( stderr, "\nblislab: %s (line %lu):\nblislab: %s \n", __FILE__, __LINE__, "QueryPerformanceFrequency() failed" );
fflush( stderr );
abort();
}
return ( ( double) clock_val.QuadPart / ( double) clock_freq.QuadPart );
}
// --- End Windows build definitions -------------------------------------------
#elif BL_OS_OSX
// --- Begin OSX build definitions -------------------------------------------
double bl_clock_helper()
{
mach_timebase_info_data_t timebase;
mach_timebase_info( &timebase );
uint64_t nsec = mach_absolute_time();
double the_time = (double) nsec * 1.0e-9 * timebase.numer / timebase.denom;
if ( gtod_ref_time_sec == 0.0 )
gtod_ref_time_sec = the_time;
return the_time - gtod_ref_time_sec;
}
// --- End OSX build definitions ---------------------------------------------
#else
// --- Begin Linux build definitions -------------------------------------------
double bl_clock_helper()
{
double the_time, norm_sec;
struct timespec ts;
clock_gettime( CLOCK_MONOTONIC, &ts );
if ( gtod_ref_time_sec == 0.0 )
gtod_ref_time_sec = ( double ) ts.tv_sec;
norm_sec = ( double ) ts.tv_sec - gtod_ref_time_sec;
the_time = norm_sec + ts.tv_nsec * 1.0e-9;
return the_time;
}
// --- End Linux build definitions ---------------------------------------------
#endif
// Code for work assignments
void bl_get_range( int n, int bf, int* start, int* end )
{
//int n_way = thread->n_way;
//int work_id = thread->work_id;
int n_way = omp_get_num_threads();
int work_id = omp_get_thread_num();
//printf( "n: %d, bf: %d, start: %d, end: %d, n_way: %d, work_id: %d\n,", n, bf, *start, *end, n_way, work_id );
int all_start = 0;
int all_end = n;
int size = all_end - all_start;
int n_bf_whole = size / bf;
int n_bf_left = size % bf;
int n_bf_lo = n_bf_whole / n_way;
int n_bf_hi = n_bf_whole / n_way;
// In this function, we partition the space between all_start and
// all_end into n_way partitions, each a multiple of block_factor
// with the exception of the one partition that recieves the
// "edge" case (if applicable).
//
// Here are examples of various thread partitionings, in units of
// the block_factor, when n_way = 4. (A '+' indicates the thread
// that receives the leftover edge case (ie: n_bf_left extra
// rows/columns in its sub-range).
// (all_start ... all_end)
// n_bf_whole _left hel n_th_lo _hi thr0 thr1 thr2 thr3
// 12 =0 f 0 4 3 3 3 3
// 12 >0 f 0 4 3 3 3 3+
// 13 >0 f 1 3 4 3 3 3+
// 14 >0 f 2 2 4 4 3 3+
// 15 >0 f 3 1 4 4 4 3+
// 15 =0 f 3 1 4 4 4 3
//
// 12 =0 t 4 0 3 3 3 3
// 12 >0 t 4 0 3+ 3 3 3
// 13 >0 t 3 1 3+ 3 3 4
// 14 >0 t 2 2 3+ 3 4 4
// 15 >0 t 1 3 3+ 4 4 4
// 15 =0 t 1 3 3 4 4 4
// As indicated by the table above, load is balanced as equally
// as possible, even in the presence of an edge case.
// First, we must differentiate between cases where the leftover
// "edge" case (n_bf_left) should be allocated to a thread partition
// at the low end of the index range or the high end.
// Notice that if all threads receive the same number of
// block_factors, those threads are considered "high" and
// the "low" thread group is empty.
int n_th_lo = n_bf_whole % n_way;
//int n_th_hi = n_way - n_th_lo;
// If some partitions must have more block_factors than others
// assign the slightly larger partitions to lower index threads.
if ( n_th_lo != 0 ) n_bf_lo += 1;
// Compute the actual widths (in units of rows/columns) of
// individual threads in the low and high groups.
int size_lo = n_bf_lo * bf;
int size_hi = n_bf_hi * bf;
// Precompute the starting indices of the low and high groups.
int lo_start = all_start;
int hi_start = all_start + n_th_lo * size_lo;
// Compute the start and end of individual threads' ranges
// as a function of their work_ids and also the group to which
// they belong (low or high).
if ( work_id < n_th_lo )
{
*start = lo_start + (work_id ) * size_lo;
*end = lo_start + (work_id+1) * size_lo;
}
else // if ( n_th_lo <= work_id )
{
*start = hi_start + (work_id-n_th_lo ) * size_hi;
*end = hi_start + (work_id-n_th_lo+1) * size_hi;
// Since the edge case is being allocated to the high
// end of the index range, we have to advance the last
// thread's end.
if ( work_id == n_way - 1 ) *end += n_bf_left;
}
}
// Split into m x n, get the subblock starting from i th row and j th column.
void bl_acquire_mpart(
int m,
int n,
double *src_buff,
int lda,
int x,
int y,
int i,
int j,
double **dst_buff
)
{
//printf( "m: %d, n: %d, lda: %d, x: %d, y: %d, i: %d, j: %d\n", m, n, lda, x, y, i, j );
*dst_buff = &src_buff[ m / x * i + ( n / y * j ) * lda ]; //src( m/x*i, n/y*j )
}
#define USE_SET_DIFF 1
#define TOLERANCE 1E-10
void bl_compare_error( int ldc, int ldc_ref, int m, int n, double *C, double *C_ref )
{
int i, j;
#pragma omp parallel for private( j )
for ( i = 0; i < m; i ++ ) {
for ( j = 0; j < n; j ++ ) {
if ( fabs( C( i, j ) - C_ref( i, j ) ) > TOLERANCE ) {
printf( "C[ %d ][ %d ] != C_ref, %E, %E\n", i, j, C( i, j ), C_ref( i, j ) );
break;
}
}
}
}
void bl_dynamic_peeling( int m, int n, int k, double *A, int lda, double *B, int ldb, double *C, int ldc, int dim1, int dim2, int dim3 ) {
int mr = m % dim1;
int kr = k % dim2;
int nr = n % dim3;
int ms = m - mr;
int ns = n - nr;
int ks = k - kr;
double *A_extra, *B_extra, *C_extra;
// Adjust part handled by fast matrix multiplication.
// Add far column of A outer product bottom row B
if ( kr > 0 ) {
// In Strassen, this looks like C([1, 2], [1, 2]) += A([1, 2], 3) * B(3, [1, 2])
A_extra = &A[ 0 + ks * lda ];//ms * kr
B_extra = &B[ ks + 0 * ldb ];//kr * ns
C_extra = &C[ 0 + 0 * ldc ];//ms * ns
if ( ms > 0 && ns > 0 )
bl_dgemm( ms, ns, kr, A_extra, lda, B_extra, ldb, C_extra, ldc );
}
// Adjust for far right columns of C
if ( nr > 0 ) {
// In Strassen, this looks like C(:, 3) = A * B(:, 3)
B_extra = &B[ 0 + ns * ldb ];//k * nr
C_extra = &C[ 0 + ns * ldc ];//m * nr
bl_dgemm( m, nr, k, A, lda, B_extra, ldb, C_extra, ldc );
}
// Adjust for bottom rows of C
if ( mr > 0 ) {
// In Strassen, this looks like C(3, [1, 2]) = A(3, :) * B(:, [1, 2])
double *A_extra = &A[ ms + 0 * lda ];// mr * k
double *B_extra = &B[ 0 + 0 * ldb ];// k * ns
double *C_extra = &C[ ms + 0 * ldc ];// mr * ns
if ( ns > 0 )
bl_dgemm( mr, ns, k, A_extra, lda, B_extra, ldb, C_extra, ldc );
}
}
int bl_read_nway_from_env( char* env )
{
int number = 1;
char* str = getenv( env );
if( str != NULL )
{
number = strtol( str, NULL, 10 );
}
return number;
}
void bl_finalize( ) {
if ( glob_packA != NULL ) {
bl_free( glob_packA );
}
if ( glob_packB != NULL ) {
bl_free( glob_packB );
}
}
void bl_malloc_packing_pool( double **packA, double **packB, int n, int bl_ic_nt ) {
*packA = NULL;
if ( glob_packA == NULL ) {
*packA = bl_malloc_aligned( DGEMM_KC, ( ( DGEMM_MC + 1 ) * bl_ic_nt ), sizeof(double) );
glob_packA = *packA;
} else {
*packA = glob_packA;
}
*packB = NULL;
if ( glob_packB == NULL ) {
if ( DGEMM_NC > n ) {
*packB = bl_malloc_aligned( DGEMM_KC, ( ( n + DGEMM_NR ) ), sizeof(double) );
} else {
*packB = bl_malloc_aligned( DGEMM_KC, ( ( DGEMM_NC + 1 ) ), sizeof(double) );
}
glob_packB = *packB;
} else {
*packB = glob_packB;
}
}
|
backward_binary_reduce_impl.h | /*!
* Copyright (c) 2019 by Contributors
* \file kernel/cuda/backward_binary_reduce_impl.h
* \brief Minigun CPU UDFs for bacward binary reduce
*/
#ifndef DGL_KERNEL_CPU_BACKWARD_BINARY_REDUCE_IMPL_H_
#define DGL_KERNEL_CPU_BACKWARD_BINARY_REDUCE_IMPL_H_
#include <minigun/minigun.h>
#include "../binary_reduce_impl_decl.h"
#include "../utils.h"
#include "./functor.h"
#include "../csr_interface.h"
namespace dgl {
namespace kernel {
namespace cpu {
// Minigun UDF to compute backward binary reduce.
template <int Mode, typename Idx, typename DType, typename Functors>
struct BackwardBinaryReduce {
static inline bool CondEdge(
Idx src, Idx dst, Idx eid, BackwardGData<Idx, DType>* gdata) {
return true;
}
static inline void ApplyEdge(
Idx src, Idx dst, Idx eid, BackwardGData<Idx, DType>* gdata) {
const int64_t D = gdata->x_length;
const int64_t len = gdata->data_len;
Idx lid = Functors::SelectLeft(src, eid, dst);
Idx rid = Functors::SelectRight(src, eid, dst);
Idx oid = Functors::SelectOut(src, eid, dst);
if (gdata->lhs_mapping) {
lid = Functors::GetId(lid, gdata->lhs_mapping);
}
if (gdata->rhs_mapping) {
rid = Functors::GetId(rid, gdata->rhs_mapping);
}
if (gdata->out_mapping) {
oid = Functors::GetId(oid, gdata->out_mapping);
}
DType* lhsoff = gdata->lhs_data + lid * D * len;
DType* rhsoff = gdata->rhs_data + rid * D * len;
DType* outoff = gdata->out_data + oid * D;
DType* gradlhsoff = gdata->grad_lhs_data + lid * D * len;
DType* gradrhsoff = gdata->grad_rhs_data + rid * D * len;
DType* gradoutoff = gdata->grad_out_data + oid * D;
for (int64_t tx = 0; tx < D; ++tx) {
DType out = Functors::Read(outoff + tx);
DType grad_out = Functors::Read(gradoutoff + tx);
DType e = Functors::Op(lhsoff + tx * len, rhsoff + tx * len, len);
DType grad_e = grad_out * Functors::BackwardWrite(e, out);
if (0 == grad_e)
continue;
DType* lhs_base = lhsoff + tx * len;
DType* rhs_base = rhsoff + tx * len;
if (Mode == binary_op::kGradBoth) {
for (int64_t i = 0; i < len; ++i) {
DType lhs = Functors::Read(lhs_base + i);
DType rhs = Functors::Read(rhs_base + i);
DType grad_lhs = grad_e * Functors::BackwardOpLhs(lhs, rhs, e);
DType grad_rhs = grad_e * Functors::BackwardOpRhs(lhs, rhs, e);
DType grad = grad_lhs + grad_rhs;
#pragma omp atomic
gradlhsoff[tx * len + i] += grad;
}
} else if (Mode == binary_op::kGradLhs) {
for (int64_t i = 0; i < len; ++i) {
DType lhs = Functors::Read(lhs_base + i);
DType rhs = Functors::Read(rhs_base + i);
DType grad_lhs = grad_e * Functors::BackwardOpLhs(lhs, rhs, e);
#pragma omp atomic
gradlhsoff[tx * len + i] += grad_lhs;
}
} else if (Mode == binary_op::kGradRhs) {
for (int64_t i = 0; i < len; ++i) {
DType lhs = Functors::Read(lhs_base + i);
DType rhs = Functors::Read(rhs_base + i);
DType grad_rhs = grad_e * Functors::BackwardOpRhs(lhs, rhs, e);
#pragma omp atomic
gradrhsoff[tx * len + i] += grad_rhs;
}
}
}
}
};
// Minigun UDF to compute backward binary reduce with broadcasting.
template <int Mode, int NDim,
typename Idx, typename DType, typename Functors>
struct BackwardBinaryReduceBcast {
static inline bool CondEdge(
Idx src, Idx dst, Idx eid, BackwardBcastGData<NDim, Idx, DType>* gdata) {
return true;
}
static inline void ApplyEdge(
Idx src, Idx dst, Idx eid, BackwardBcastGData<NDim, Idx, DType>* gdata) {
const int64_t len = gdata->data_len;
Idx lid = Functors::SelectLeft(src, eid, dst);
Idx rid = Functors::SelectRight(src, eid, dst);
Idx oid = Functors::SelectOut(src, eid, dst);
if (gdata->lhs_mapping) {
lid = Functors::GetId(lid, gdata->lhs_mapping);
}
if (gdata->rhs_mapping) {
rid = Functors::GetId(rid, gdata->rhs_mapping);
}
if (gdata->out_mapping) {
oid = Functors::GetId(oid, gdata->out_mapping);
}
DType* lhsoff = gdata->lhs_data + lid * gdata->lhs_len * len;
DType* rhsoff = gdata->rhs_data + rid * gdata->rhs_len * len;
DType* outoff = gdata->out_data + oid * gdata->out_len;
DType* gradlhsoff = gdata->grad_lhs_data + lid * gdata->out_len * len;
DType* gradrhsoff = gdata->grad_rhs_data + rid * gdata->out_len * len;
DType* gradoutoff = gdata->grad_out_data + oid * gdata->out_len;
int64_t tmp[NDim]; // store unraveled idx.
for (int64_t tx = 0; tx < gdata->out_len; ++tx) {
Unravel(tx, gdata->ndim, gdata->out_shape, gdata->out_stride, tmp);
DType out = Functors::Read(outoff + tx);
DType grad_out = Functors::Read(gradoutoff + tx);
DType e = Functors::Op(
lhsoff + Ravel(tmp, gdata->ndim, gdata->lhs_shape, gdata->lhs_stride) * len,
rhsoff + Ravel(tmp, gdata->ndim, gdata->rhs_shape, gdata->rhs_stride) * len,
len);
DType grad_e = grad_out * Functors::BackwardWrite(e, out);
// (pawelpiotrowicz) Although we can technically add the same condition for
// skipping atomic additions as in BackwardBinaryReduce, doing so made the
// speed 2% slower in GCMC training on MovieLens-1M with 24 OpenMP threads.
// For more details, see https://github.com/dmlc/dgl/pull/1527.
// TODO(BarclayII): Needs further investigation and benchmarking.
DType* lhs_base = lhsoff +
Ravel(tmp, gdata->ndim, gdata->lhs_shape, gdata->lhs_stride) * len;
DType* rhs_base = rhsoff +
Ravel(tmp, gdata->ndim, gdata->rhs_shape, gdata->rhs_stride) * len;
if (Mode == binary_op::kGradBoth) {
for (int64_t i = 0; i < len; ++i) {
DType lhs = Functors::Read(lhs_base + i);
DType rhs = Functors::Read(rhs_base + i);
DType grad_lhs = grad_e * Functors::BackwardOpLhs(lhs, rhs, e);
DType grad_rhs = grad_e * Functors::BackwardOpRhs(lhs, rhs, e);
DType grad = grad_lhs + grad_rhs;
#pragma omp atomic
gradlhsoff[tx * len + i] += grad;
}
} else if (Mode == binary_op::kGradLhs) {
for (int64_t i = 0; i < len; ++i) {
DType lhs = Functors::Read(lhs_base + i);
DType rhs = Functors::Read(rhs_base + i);
DType grad_lhs = grad_e * Functors::BackwardOpLhs(lhs, rhs, e);
#pragma omp atomic
gradlhsoff[tx * len + i] += grad_lhs;
}
} else if (Mode == binary_op::kGradRhs) {
for (int64_t i = 0; i < len; ++i) {
DType lhs = Functors::Read(lhs_base + i);
DType rhs = Functors::Read(rhs_base + i);
DType grad_rhs = grad_e * Functors::BackwardOpRhs(lhs, rhs, e);
#pragma omp atomic
gradrhsoff[tx * len + i] += grad_rhs;
}
}
}
}
};
// Auxiliary template used in UDF.
template <typename Idx, typename DType,
typename LeftSelector, typename RightSelector,
typename BinaryOp, typename Reducer>
struct BackwardFunctorsTempl {
static inline Idx SelectOut(
Idx src, Idx edge, Idx dst) {
typedef typename OutSelector<Reducer>::Type OutTarget;
return SwitchSrcDst<OutTarget>::Type::Call(src, edge, dst);
}
static inline Idx SelectLeft(
Idx src, Idx edge, Idx dst) {
return LeftSelector::Call(src, edge, dst);
}
static inline Idx SelectRight(
Idx src, Idx edge, Idx dst) {
return RightSelector::Call(src, edge, dst);
}
static inline DType Op(DType* lhs, DType* rhs, int64_t len) {
return BinaryOp::Call(lhs, rhs, len);
}
static inline DType Read(DType* addr) {
return *addr;
}
static inline void Write(DType* addr, DType val) {
Reducer::Call(addr, val);
}
static inline Idx GetId(Idx id, Idx* id_map) {
return *(id_map + id);
}
static inline DType BackwardWrite(DType val, DType accum) {
return Reducer::BackwardCall(val, accum);
}
static inline DType BackwardOpLhs(DType lhs, DType rhs, DType out) {
return BinaryOp::BackwardLhs(lhs, rhs, out);
}
static inline DType BackwardOpRhs(DType lhs, DType rhs, DType out) {
return BinaryOp::BackwardRhs(lhs, rhs, out);
}
};
typedef minigun::advance::Config<true, minigun::advance::kV2N> AdvanceConfig;
} // namespace cpu
// Template implementation of BackwardBinaryReduce operator.
template <int XPU, int Mode, typename Idx, typename DType,
typename LeftSelector, typename RightSelector,
typename BinaryOp, typename Reducer>
void CallBackwardBinaryReduce(
const minigun::advance::RuntimeConfig& rtcfg,
const CSRWrapper& graph,
BackwardGData<Idx, DType>* gdata) {
// For backward computation, we use reverse csr and switch dst and src.
// This benefits the most common src_op_edge or copy_src case, because the
// gradients of src are now aggregated into destination buffer to reduce
// competition of atomic add.
auto incsr = graph.GetInCSRMatrix();
minigun::Csr<Idx> csr = utils::CreateCsr<Idx>(incsr.indptr, incsr.indices);
typedef cpu::BackwardFunctorsTempl<Idx, DType,
typename SwitchSrcDst<LeftSelector>::Type,
typename SwitchSrcDst<RightSelector>::Type,
BinaryOp, Reducer> Functors;
typedef cpu::BackwardBinaryReduce<Mode, Idx, DType, Functors> UDF;
// If the user-given mapping is none and the target is edge data, we need to
// replace the mapping by the edge ids in the csr graph so that the edge
// data is correctly read/written.
if (LeftSelector::target == binary_op::kEdge
&& gdata->lhs_mapping == nullptr) {
gdata->lhs_mapping = static_cast<Idx*>(incsr.data->data);
}
if (RightSelector::target == binary_op::kEdge
&& gdata->rhs_mapping == nullptr) {
gdata->rhs_mapping = static_cast<Idx*>(incsr.data->data);
}
if (OutSelector<Reducer>::Type::target == binary_op::kEdge
&& gdata->out_mapping == nullptr) {
gdata->out_mapping = static_cast<Idx*>(incsr.data->data);
}
// TODO(minjie): allocator
minigun::advance::Advance<XPU, Idx, cpu::AdvanceConfig, BackwardGData<Idx, DType>, UDF>(
rtcfg, csr, gdata, minigun::IntArray1D<Idx>());
}
// Following macro is used to generate explicit-specialization of the template
// operator.
#define GEN_BACKWARD_DEFINE(mode, dtype, lhs_tgt, rhs_tgt, op) \
template void CallBackwardBinaryReduce<XPU, \
mode, IDX, dtype, \
lhs_tgt, rhs_tgt, \
op<dtype>, REDUCER<XPU, dtype>>( \
const minigun::advance::RuntimeConfig& rtcfg, \
const CSRWrapper& graph, \
BackwardGData<IDX, dtype>* gdata);
// Template implementation of BackwardBinaryReduce with broadcasting operator.
template <int XPU, int Mode, int NDim, typename Idx, typename DType,
typename LeftSelector, typename RightSelector,
typename BinaryOp, typename Reducer>
void CallBackwardBinaryReduceBcast(
const minigun::advance::RuntimeConfig& rtcfg,
const CSRWrapper& graph,
BackwardBcastGData<NDim, Idx, DType>* gdata) {
// For backward computation, we use reverse csr and switch dst and src.
// This benefits the most common src_op_edge or copy_src case, because the
// gradients of src are now aggregated into destination buffer to reduce
// competition of atomic add.
auto incsr = graph.GetInCSRMatrix();
minigun::Csr<Idx> csr = utils::CreateCsr<Idx>(incsr.indptr, incsr.indices);
typedef cpu::BackwardFunctorsTempl<Idx, DType,
typename SwitchSrcDst<LeftSelector>::Type,
typename SwitchSrcDst<RightSelector>::Type,
BinaryOp, Reducer> Functors;
typedef cpu::BackwardBinaryReduceBcast<Mode, NDim, Idx, DType, Functors> UDF;
// If the user-given mapping is none and the target is edge data, we need to
// replace the mapping by the edge ids in the csr graph so that the edge
// data is correctly read/written.
if (LeftSelector::target == binary_op::kEdge
&& gdata->lhs_mapping == nullptr) {
gdata->lhs_mapping = static_cast<Idx*>(incsr.data->data);
}
if (RightSelector::target == binary_op::kEdge
&& gdata->rhs_mapping == nullptr) {
gdata->rhs_mapping = static_cast<Idx*>(incsr.data->data);
}
if (OutSelector<Reducer>::Type::target == binary_op::kEdge
&& gdata->out_mapping == nullptr) {
gdata->out_mapping = static_cast<Idx*>(incsr.data->data);
}
// TODO(minjie): allocator
minigun::advance::Advance<XPU, Idx, cpu::AdvanceConfig,
BackwardBcastGData<NDim, Idx, DType>, UDF>(
rtcfg, csr, gdata, minigun::IntArray1D<Idx>());
}
// Following macro is used to generate explicit-specialization of the template
// operator.
#define GEN_BACKWARD_BCAST_DEFINE(mode, ndim, dtype, lhs_tgt, rhs_tgt, op) \
template void CallBackwardBinaryReduceBcast<XPU, \
mode, ndim, IDX, dtype, \
lhs_tgt, rhs_tgt, \
op<dtype>, REDUCER<XPU, dtype>>( \
const minigun::advance::RuntimeConfig& rtcfg, \
const CSRWrapper& graph, \
BackwardBcastGData<ndim, IDX, dtype>* gdata);
} // namespace kernel
} // namespace dgl
#endif // DGL_KERNEL_CPU_BACKWARD_BINARY_REDUCE_IMPL_H_
|
spmv_compiler_explorer.c | // TODO Mark regions
#include <assert.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <omp.h>
#include "../../support/matrix.h"
#include "../../support/params.h"
#include "../../support/timer.h"
#include "../../support/utils.h"
int main() {
// Process parameters
struct Params p = input_params(argc, argv);
// Initialize SpMV data structures
PRINT_INFO(p.verbosity >= 1, "Reading matrix %s", p.fileName);
struct COOMatrix cooMatrix = readCOOMatrix(p.fileName);
PRINT_INFO(p.verbosity >= 1, " %u rows, %u columns, %u nonzeros", cooMatrix.numRows, cooMatrix.numCols, cooMatrix.numNonzeros);
struct CSRMatrix csrMatrix = coo2csr(cooMatrix);
float *inVector = malloc(csrMatrix.numCols * sizeof(float));
float *outVector = malloc(csrMatrix.numRows * sizeof(float));
initVector(inVector, csrMatrix.numCols);
// Calculating result on CPU
PRINT_INFO(p.verbosity >= 1, "Calculating result on CPU");
omp_set_num_threads(4);
Timer timer;
startTimer(&timer);
#pragma omp parallel for
for (uint32_t rowIdx = 0; rowIdx < csrMatrix.numRows; ++rowIdx) {
float sum = 0.0f;
for (uint32_t i = csrMatrix.rowPtrs[rowIdx]; i < csrMatrix.rowPtrs[rowIdx + 1]; ++i) {
uint32_t colIdx = csrMatrix.nonzeros[i].col;
float value = csrMatrix.nonzeros[i].value;
sum += inVector[colIdx] * value;
}
outVector[rowIdx] = sum;
}
stopTimer(&timer);
if (p.verbosity == 0)
PRINT("%f", getElapsedTime(timer) * 1e3);
PRINT_INFO(p.verbosity >= 1, " Elapsed time: %f ms", getElapsedTime(timer) * 1e3);
// Deallocate data structures
freeCOOMatrix(cooMatrix);
freeCSRMatrix(csrMatrix);
free(inVector);
free(outVector);
return 0;
}
|
flux_avx512.c |
/*
Author: Mohammed Al Farhan
Email: mohammed.farhan@kaust.edu.sa
*/
#include <stdio.h>
#include <string.h>
#include <stdint.h>
#include <omp.h>
#include <mathimf.h>
#include <immintrin.h>
#include "inc/ktime.h"
#include "inc/geometry.h"
#include "inc/ker/phy.h"
#define MAG0 (0.5 / 3)
#define MAG1 (-MAG0)
/*
Calculates the residual
*/
void
compute_flux(struct flux *restrict flux)
{
struct ktime ktime;
setktime(&ktime);
const size_t bsz = flux->bsz;
const size_t nfnodes = flux->nfnodes;
const size_t dofs = flux->dofs;
const uint32_t snfc = flux->snfc;
const double pressure = flux->pressure;
const double velocity_u = flux->velocity_u;
const double velocity_v = flux->velocity_v;
const double velocity_w = flux->velocity_w;
const double *restrict f_xyz0 = flux->f_xyz0;
const double *restrict f_xyz1 = flux->f_xyz1;
const double *restrict f_xyz2 = flux->f_xyz2;
const double *restrict xyz0 = flux->xyz0;
const double *restrict xyz1 = flux->xyz1;
const double *restrict xyz2 = flux->xyz2;
const double *restrict x0 = flux->x0;
const double *restrict x1 = flux->x1;
const double *restrict x2 = flux->x2;
const double *restrict x3 = flux->x3;
const double *restrict q = flux->q;
const double *restrict gradx0 = flux->gradx0;
const double *restrict gradx1 = flux->gradx1;
const double *restrict gradx2 = flux->gradx2;
const uint32_t *restrict ie = flux->ie;
const uint32_t *restrict part = flux->part;
const uint32_t *restrict snfic = flux->snfic;
const uint32_t *restrict n0 = flux->n0;
const uint32_t *restrict n1 = flux->n1;
const uint32_t *restrict nfptr = flux->nfptr;
const uint32_t *restrict sn0 = flux->sn0;
const uint32_t *restrict sn1 = flux->sn1;
const uint32_t *restrict sn2 = flux->sn2;
double *restrict r = flux->r;
memset(r, 0, dofs * sizeof(double));
__assume_aligned(x0, 64);
__assume_aligned(x1, 64);
__assume_aligned(x2, 64);
__assume_aligned(x3, 64);
__assume_aligned(gradx0, 64);
__assume_aligned(gradx1, 64);
__assume_aligned(gradx2, 64);
__assume_aligned(r, 64);
/* AVX512 Registers */
const __m512d _zero = _mm512_set1_pd(0);
const __m512d _pos1 = _mm512_set1_pd(1.0);
const __m512d _pos2 = _mm512_set1_pd(2.0);
const __m512d _half = _mm512_set1_pd(0.5);
const __m512d _nhalf = _mm512_set1_pd(-0.5);
const __m512d _nu95 = _mm512_set1_pd(0.95);
const __m512d _beta = _mm512_set1_pd(BETA);
#ifdef __USE_SKX
const __m512d _rbeta = _mm512_rcp14_pd(_beta);
#else
const __m512d _rbeta = _mm512_rcp28_pd(_beta);
#endif
const __m256i _bsz = _mm256_set1_epi32(bsz);
const __m256i _shift1 = _mm256_set1_epi32(1);
const __m256i _shift2 = _mm256_set1_epi32(2);
const __m256i _shift3 = _mm256_set1_epi32(3);
const __m512i _ng = _mm512_set1_epi32(-1);
const __m512d _und = _mm512_undefined_pd();
/*
Calculates the fluxes on the face and performs the flux balance
*/
#pragma omp parallel
{
const uint32_t t = omp_get_thread_num();
const uint32_t ie0 = ie[t];
const uint32_t ie1 = ie[t+1];
const uint32_t lim = ie1 - ((ie1-ie0) % 8);
const __m512i _t = _mm512_set1_epi32(t);
uint32_t i;
for(i = ie0; i < lim; i+=8)
{
const __m512d _xn = _mm512_load_pd((void const *) &x0[i]);
const __m512d _yn = _mm512_load_pd((void const *) &x1[i]);
const __m512d _zn = _mm512_load_pd((void const *) &x2[i]);
const __m512d _ln = _mm512_load_pd((void const *) &x3[i]);
/*
Now lets get our other 2 vectors
For first vector, use {1,0,0} and subtract off the component
in the direction of the face normal. If the inner product of
{1,0,0} is close to unity, use {0,1,0}
*/
const __m512d _fdot = _mm512_abs_pd(_xn);
__mmask _k0;
__m512d _dot, _X1, _Y1, _Z1;
_k0 = _mm512_cmp_pd_mask(_fdot, _nu95, _CMP_LT_OS);
_X1 = _mm512_mask_fnmadd_pd(_xn, _k0, _xn, _pos1);
_Y1 = _mm512_mask_fnmadd_pd(_yn, _k0, _xn, _zero);
_Z1 = _mm512_mask_fnmadd_pd(_zn, _k0, _xn, _zero);
_k0 = _mm512_cmp_pd_mask(_fdot, _nu95, _CMP_GE_OS);
_X1 = _mm512_mask_fnmadd_pd(_X1, _k0, _yn, _zero);
_Y1 = _mm512_mask_fnmadd_pd(_Y1, _k0, _yn, _pos1);
_Z1 = _mm512_mask_fnmadd_pd(_Z1, _k0, _yn, _zero);
/*
Normalize the first vector
*/
__m512d _size;
_size = _mm512_mul_pd(_X1, _X1);
_size = _mm512_fmadd_pd(_Y1, _Y1, _size);
_size = _mm512_fmadd_pd(_Z1, _Z1, _size);
#ifdef __USE_SKX
_size = _mm512_rsqrt14_pd(_size);
#else
_size = _mm512_rsqrt28_pd(_size);
#endif
_X1 = _mm512_mul_pd(_X1, _size);
_Y1 = _mm512_mul_pd(_Y1, _size);
_Z1 = _mm512_mul_pd(_Z1, _size);
const __m256i _n0 = _mm256_load_si256((__m256i const *) &n0[i]);
const __m256i _n1 = _mm256_load_si256((__m256i const *) &n1[i]);
const __m512d _x00 = _mm512_i32gather_pd(_n0, &xyz0[0], 8);
const __m512d _x01 = _mm512_i32gather_pd(_n0, &xyz1[0], 8);
const __m512d _x02 = _mm512_i32gather_pd(_n0, &xyz2[0], 8);
const __m512d _x10 = _mm512_i32gather_pd(_n1, &xyz0[0], 8);
const __m512d _x11 = _mm512_i32gather_pd(_n1, &xyz1[0], 8);
const __m512d _x12 = _mm512_i32gather_pd(_n1, &xyz2[0], 8);
const __m512d _xmean = _mm512_mul_pd(_half, _mm512_add_pd(_x00, _x10));
const __m512d _ymean = _mm512_mul_pd(_half, _mm512_add_pd(_x01, _x11));
const __m512d _zmean = _mm512_mul_pd(_half, _mm512_add_pd(_x02, _x12));
/*
Take cross-product of normal and V1 to get V2
*/
const __m512d _X2 = _mm512_fmsub_pd(_yn, _Z1, _mm512_mul_pd(_zn, _Y1));
const __m512d _Y2 = _mm512_fmsub_pd(_zn, _X1, _mm512_mul_pd(_xn, _Z1));
const __m512d _Z2 = _mm512_fmsub_pd(_xn, _Y1, _mm512_mul_pd(_yn, _X1));
/*
Compute the stride indices
*/
const __m256i _idx0 = _mm256_mullo_epi32(_bsz, _n0);
const __m256i _idx1 = _mm256_mullo_epi32(_bsz, _n1);
const __m256i _idx01 = _mm256_add_epi32(_idx0, _shift1);
const __m256i _idx11 = _mm256_add_epi32(_idx1, _shift1);
const __m256i _idx02 = _mm256_add_epi32(_idx0, _shift2);
const __m256i _idx12 = _mm256_add_epi32(_idx1, _shift2);
const __m256i _idx03 = _mm256_add_epi32(_idx0, _shift3);
const __m256i _idx13 = _mm256_add_epi32(_idx1, _shift3);
/*
Get variables on "left" and "right" side of face
*/
__m512d _q;
__m512d _ubarL, _ubarR;
__m512d _rx, _ry, _rz;
__m512d _g0, _g1, _g2;
__m512d _pL, _uL, _vL, _wL;
__m512d _pR, _uR, _vR, _wR;
/* Left */
_rx = _mm512_sub_pd(_xmean, _x00);
_ry = _mm512_sub_pd(_ymean, _x01);
_rz = _mm512_sub_pd(_zmean, _x02);
/* Pressure */
_g0 = _mm512_i32gather_pd(_idx0, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx0, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx0, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx0, &q[0], 8);
_pL = _mm512_fmadd_pd(_g0, _rx, _q);
_pL = _mm512_fmadd_pd(_g1, _ry, _pL);
_pL = _mm512_fmadd_pd(_g2, _rz, _pL);
/* Velocity u */
_g0 = _mm512_i32gather_pd(_idx01, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx01, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx01, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx01, &q[0], 8);
_uL = _mm512_fmadd_pd(_g0, _rx, _q);
_uL = _mm512_fmadd_pd(_g1, _ry, _uL);
_uL = _mm512_fmadd_pd(_g2, _rz, _uL);
/* Velocity v */
_g0 = _mm512_i32gather_pd(_idx02, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx02, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx02, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx02, &q[0], 8);
_vL = _mm512_fmadd_pd(_g0, _rx, _q);
_vL = _mm512_fmadd_pd(_g1, _ry, _vL);
_vL = _mm512_fmadd_pd(_g2, _rz, _vL);
/* Velocity w */
_g0 = _mm512_i32gather_pd(_idx03, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx03, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx03, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx03, &q[0], 8);
_wL = _mm512_fmadd_pd(_g0, _rx, _q);
_wL = _mm512_fmadd_pd(_g1, _ry, _wL);
_wL = _mm512_fmadd_pd(_g2, _rz, _wL);
_ubarL = _mm512_mul_pd(_xn, _uL);
_ubarL = _mm512_fmadd_pd(_yn, _vL, _ubarL);
_ubarL = _mm512_fmadd_pd(_zn, _wL, _ubarL);
/* Right */
_rx = _mm512_sub_pd(_xmean, _x10);
_ry = _mm512_sub_pd(_ymean, _x11);
_rz = _mm512_sub_pd(_zmean, _x12);
/* Pressure */
_g0 = _mm512_i32gather_pd(_idx1, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx1, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx1, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx1, &q[0], 8);
_pR = _mm512_fmadd_pd(_g0, _rx, _q);
_pR = _mm512_fmadd_pd(_g1, _ry, _pR);
_pR = _mm512_fmadd_pd(_g2, _rz, _pR);
/* Velocity u */
_g0 = _mm512_i32gather_pd(_idx11, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx11, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx11, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx11, &q[0], 8);
_uR = _mm512_fmadd_pd(_g0, _rx, _q);
_uR = _mm512_fmadd_pd(_g1, _ry, _uR);
_uR = _mm512_fmadd_pd(_g2, _rz, _uR);
/* Velocity v */
_g0 = _mm512_i32gather_pd(_idx12, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx12, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx12, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx12, &q[0], 8);
_vR = _mm512_fmadd_pd(_g0, _rx, _q);
_vR = _mm512_fmadd_pd(_g1, _ry, _vR);
_vR = _mm512_fmadd_pd(_g2, _rz, _vR);
/* Velocity w */
_g0 = _mm512_i32gather_pd(_idx13, &gradx0[0], 8);
_g1 = _mm512_i32gather_pd(_idx13, &gradx1[0], 8);
_g2 = _mm512_i32gather_pd(_idx13, &gradx2[0], 8);
_q = _mm512_i32gather_pd(_idx13, &q[0], 8);
_wR = _mm512_fmadd_pd(_g0, _rx, _q);
_wR = _mm512_fmadd_pd(_g1, _ry, _wR);
_wR = _mm512_fmadd_pd(_g2, _rz, _wR);
_ubarR = _mm512_mul_pd(_xn, _uR);
_ubarR = _mm512_fmadd_pd(_yn, _vR, _ubarR);
_ubarR = _mm512_fmadd_pd(_zn, _wR, _ubarR);
const __m512d _dp = _mm512_sub_pd(_pR, _pL);
const __m512d _du = _mm512_sub_pd(_uR, _uL);
const __m512d _dv = _mm512_sub_pd(_vR, _vL);
const __m512d _dw = _mm512_sub_pd(_wR, _wL);
/* Compute averages for velocity variables only */
const __m512d _u = _mm512_mul_pd(_half, _mm512_add_pd(_uL, _uR));
const __m512d _v = _mm512_mul_pd(_half, _mm512_add_pd(_vL, _vR));
const __m512d _w = _mm512_mul_pd(_half, _mm512_add_pd(_wL, _wR));
__m512d _ubar;
_ubar = _mm512_mul_pd(_xn, _u);
_ubar = _mm512_fmadd_pd(_yn, _v, _ubar);
_ubar = _mm512_fmadd_pd(_zn, _w, _ubar);
/* Compute Phi's */
__m512d _phi1;
_phi1 = _mm512_mul_pd(_xn, _beta);
_phi1 = _mm512_fmadd_pd(_u, _ubar, _phi1);
__m512d _phi2;
_phi2 = _mm512_mul_pd(_yn, _beta);
_phi2 = _mm512_fmadd_pd(_v, _ubar, _phi2);
__m512d _phi3;
_phi3 = _mm512_mul_pd(_zn, _beta);
_phi3 = _mm512_fmadd_pd(_w, _ubar, _phi3);
__m512d _phi4;
_phi4 = _mm512_mul_pd(_Z2, _phi2);
_phi4 = _mm512_fmsub_pd(_Y2, _phi3, _phi4);
__m512d _phi5;
_phi5 = _mm512_mul_pd(_X2, _phi3);
_phi5 = _mm512_fmsub_pd(_Z2, _phi1, _phi5);
__m512d _phi6;
_phi6 = _mm512_mul_pd(_Y2, _phi1);
_phi6 = _mm512_fmsub_pd(_X2, _phi2, _phi6);
__m512d _phi7;
_phi7 = _mm512_mul_pd(_Y1, _phi3);
_phi7 = _mm512_fmsub_pd(_Z1, _phi2, _phi7);
__m512d _phi8;
_phi8 = _mm512_mul_pd(_Z1, _phi1);
_phi8 = _mm512_fmsub_pd(_X1, _phi3, _phi8);
__m512d _phi9;
_phi9 = _mm512_mul_pd(_X1, _phi2);
_phi9 = _mm512_fmsub_pd(_Y1, _phi1, _phi9);
/*
Compute eigenvalues, eigenvectors, and strengths
*/
const __m512d _c2 = _mm512_fmadd_pd(_ubar, _ubar, _beta);
#ifdef __USE_SKX
const __m512d _c = _mm512_mul_pd(_mm512_rsqrt14_pd(_c2), _c2);
const __m512d _c2r = _mm512_rcp14_pd(_c2);
#else
const __m512d _c = _mm512_mul_pd(_mm512_rsqrt28_pd(_c2), _c2);
const __m512d _c2r = _mm512_rcp28_pd(_c2);
#endif
const __m512d _bac = _mm512_add_pd(_ubar, _c);
const __m512d _bsc = _mm512_sub_pd(_ubar, _c);
/*
Components of T(inverse)
*/
__m512d _ti11;
_ti11 = _mm512_mul_pd(_u, _phi4);
_ti11 = _mm512_fmadd_pd(_v, _phi5, _ti11);
_ti11 = _mm512_fmadd_pd(_w, _phi6, _ti11);
_ti11 = _mm512_fnmadd_pd(_ti11, _rbeta, _zero);
__m512d _ti21;
_ti21 = _mm512_mul_pd(_u, _phi7);
_ti21 = _mm512_fmadd_pd(_v, _phi8, _ti21);
_ti21 = _mm512_fmadd_pd(_w, _phi9, _ti21);
_ti21 = _mm512_fnmadd_pd(_ti21, _rbeta, _zero);
__m512d _ti31;
_ti31 = _mm512_mul_pd(_half, _mm512_sub_pd(_c, _ubar));
_ti31 = _mm512_mul_pd(_ti31, _rbeta);
__m512d _ti41;
_ti41 = _mm512_mul_pd(_nhalf, _bac);
_ti41 = _mm512_mul_pd(_ti41, _rbeta);
/*
jumps (T(inverse) * dq)
*/
__m512d _dv1;
_dv1 = _mm512_mul_pd(_ti11, _dp);
_dv1 = _mm512_fmadd_pd(_phi4, _du, _dv1);
_dv1 = _mm512_fmadd_pd(_phi5, _dv, _dv1);
_dv1 = _mm512_fmadd_pd(_phi6, _dw, _dv1);
_dv1 = _mm512_mul_pd(_dv1, _c2r);
__m512d _dv2;
_dv2 = _mm512_mul_pd(_ti21, _dp);
_dv2 = _mm512_fmadd_pd(_phi7, _du, _dv2);
_dv2 = _mm512_fmadd_pd(_phi8, _dv, _dv2);
_dv2 = _mm512_fmadd_pd(_phi9, _dw, _dv2);
_dv2 = _mm512_mul_pd(_dv2, _c2r);
__m512d _dv34;
_dv34 = _mm512_mul_pd(_xn, _du);
_dv34 = _mm512_fmadd_pd(_yn, _dv, _dv34);
_dv34 = _mm512_fmadd_pd(_zn, _dw, _dv34);
__m512d _dv3;
_dv3 = _mm512_fmadd_pd(_mm512_mul_pd(_pos2, _ti31), _dp, _dv34);
_dv3 = _mm512_mul_pd(_dv3, _mm512_mul_pd(_half, _c2r));
__m512d _dv4;
_dv4 = _mm512_fmadd_pd(_mm512_mul_pd(_pos2, _ti41), _dp, _dv34);
_dv4 = _mm512_mul_pd(_dv4, _mm512_mul_pd(_half, _c2r));
/*
Now get elements of T
*/
const __m512d _r13 = _mm512_mul_pd(_c, _beta);
__m512d _r23;
_r23 = _mm512_mul_pd(_u, _bac);
_r23 = _mm512_fmadd_pd(_xn, _beta, _r23);
__m512d _r33;
_r33 = _mm512_mul_pd(_v, _bac);
_r33 = _mm512_fmadd_pd(_yn, _beta, _r33);
__m512d _r43;
_r43 = _mm512_mul_pd(_w, _bac);
_r43 = _mm512_fmadd_pd(_zn, _beta, _r43);
const __m512d _r14 = _mm512_fnmadd_pd(_c, _beta, _zero);
__m512d _r24;
_r24 = _mm512_mul_pd(_u, _bsc);
_r24 = _mm512_fmadd_pd(_xn, _beta, _r24);
__m512d _r34;
_r34 = _mm512_mul_pd(_v, _bsc);
_r34 = _mm512_fmadd_pd(_yn, _beta, _r34);
__m512d _r44;
_r44 = _mm512_mul_pd(_w, _bsc);
_r44 = _mm512_fmadd_pd(_zn, _beta, _r44);
/*
Calculate T* |lambda| * T(inverse)
*/
const __m512d _eig1 = _mm512_abs_pd(_ubar);
const __m512d _eig2 = _mm512_abs_pd(_bac);
const __m512d _eig3 = _mm512_abs_pd(_bsc);
__m512d _t1;
_t1 = _mm512_mul_pd(_mm512_mul_pd(_eig2, _r13), _dv3);
_t1 = _mm512_fmadd_pd(_mm512_mul_pd(_eig3, _r14), _dv4, _t1);
__m512d _t2;
_t2 = _mm512_mul_pd(_mm512_mul_pd(_eig1, _X1), _dv1);
_t2 = _mm512_fmadd_pd(_mm512_mul_pd(_eig1, _X2), _dv2, _t2);
_t2 = _mm512_fmadd_pd(_mm512_mul_pd(_eig2, _r23), _dv3, _t2);
_t2 = _mm512_fmadd_pd(_mm512_mul_pd(_eig3, _r24), _dv4, _t2);
__m512d _t3;
_t3 = _mm512_mul_pd(_mm512_mul_pd(_eig1, _Y1), _dv1);
_t3 = _mm512_fmadd_pd(_mm512_mul_pd(_eig1, _Y2), _dv2, _t3);
_t3 = _mm512_fmadd_pd(_mm512_mul_pd(_eig2, _r33), _dv3, _t3);
_t3 = _mm512_fmadd_pd(_mm512_mul_pd(_eig3, _r34), _dv4, _t3);
__m512d _t4;
_t4 = _mm512_mul_pd(_mm512_mul_pd(_eig1, _Z1), _dv1);
_t4 = _mm512_fmadd_pd(_mm512_mul_pd(_eig1, _Z2), _dv2, _t4);
_t4 = _mm512_fmadd_pd(_mm512_mul_pd(_eig2, _r43), _dv3, _t4);
_t4 = _mm512_fmadd_pd(_mm512_mul_pd(_eig3, _r44), _dv4, _t4);
/*
Modify to calculate .5(fl +fr) from nodes
instead of extrapolated ones
*/
/* Left Side */
__m512d _fluxp1;
_fluxp1 = _mm512_mul_pd(_mm512_mul_pd(_ln, _beta), _ubarL);
__m512d _fluxp2;
_fluxp2 = _mm512_mul_pd(_uL, _ubarL);
_fluxp2 = _mm512_fmadd_pd(_xn, _pL, _fluxp2);
_fluxp2 = _mm512_mul_pd(_ln, _fluxp2);
__m512d _fluxp3;
_fluxp3 = _mm512_mul_pd(_vL, _ubarL);
_fluxp3 = _mm512_fmadd_pd(_yn, _pL, _fluxp3);
_fluxp3 = _mm512_mul_pd(_ln, _fluxp3);
__m512d _fluxp4;
_fluxp4 = _mm512_mul_pd(_wL, _ubarL);
_fluxp4 = _mm512_fmadd_pd(_zn, _pL, _fluxp4);
_fluxp4 = _mm512_mul_pd(_ln, _fluxp4);
/* Right Side */
__m512d _fluxm1;
_fluxm1 = _mm512_mul_pd(_mm512_mul_pd(_ln, _beta), _ubarR);
__m512d _fluxm2;
_fluxm2 = _mm512_mul_pd(_uR, _ubarR);
_fluxm2 = _mm512_fmadd_pd(_xn, _pR, _fluxm2);
_fluxm2 = _mm512_mul_pd(_ln, _fluxm2);
__m512d _fluxm3;
_fluxm3 = _mm512_mul_pd(_vR, _ubarR);
_fluxm3 = _mm512_fmadd_pd(_yn, _pR, _fluxm3);
_fluxm3 = _mm512_mul_pd(_ln, _fluxm3);
__m512d _fluxm4;
_fluxm4 = _mm512_mul_pd(_wR, _ubarR);
_fluxm4 = _mm512_fmadd_pd(_zn, _pR, _fluxm4);
_fluxm4 = _mm512_mul_pd(_ln, _fluxm4);
__m512d _res1;
_res1 = _mm512_fnmadd_pd(_ln, _t1, _mm512_add_pd(_fluxm1, _fluxp1));
__m512d _res2;
_res2 = _mm512_fnmadd_pd(_ln, _t2, _mm512_add_pd(_fluxm2, _fluxp2));
__m512d _res3;
_res3 = _mm512_fnmadd_pd(_ln, _t3, _mm512_add_pd(_fluxm3, _fluxp3));
__m512d _res4;
_res4 = _mm512_fnmadd_pd(_ln, _t4, _mm512_add_pd(_fluxm4, _fluxp4));
/* Update the residual */
__m512i _node, _part;
__mmask _next;
_node = _mm512_castsi256_si512(_n0);
_part = _mm512_i32gather_epi32(_node, &part[0], 4);
_next = _mm512_cmpeq_epi32_mask(_part, _t);
/* Conflict detection instructions with multiple node update */
/* Node 0 Contributions */
do {
__m512i _cd, _bnext;
__m512d _v, _d;
__mmask _crt;
_cd = _mm512_mask_conflict_epi32(_ng, _next, _node);
_bnext = _mm512_broadcastmw_epi32(_next);
_crt = _mm512_mask_testn_epi32_mask(_next, _cd, _bnext);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx0, &r[0], 8);
_d = _mm512_mask_fmadd_pd(_res1, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx0, _d, 8);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx01, &r[0], 8);
_d = _mm512_mask_fmadd_pd(_res2, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx01, _d, 8);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx02, &r[0], 8);
_d = _mm512_mask_fmadd_pd(_res3, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx02, _d, 8);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx03, &r[0], 8);
_d = _mm512_mask_fmadd_pd(_res4, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx03, _d, 8);
_next = _mm512_kxor(_next, _crt);
} while(_next);
_node = _mm512_castsi256_si512(_n1);
_part = _mm512_i32gather_epi32(_node, &part[0], 4);
_next = _mm512_cmpeq_epi32_mask(_part, _t);
/* Node 1 Contributions */
do {
__m512i _cd, _bnext;
__m512d _v, _d;
__mmask _crt;
_cd = _mm512_mask_conflict_epi32(_ng, _next, _node);
_bnext = _mm512_broadcastmw_epi32(_next);
_crt = _mm512_mask_testn_epi32_mask(_next, _cd, _bnext);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx1, &r[0], 8);
_d = _mm512_mask_fnmadd_pd(_res1, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx1, _d, 8);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx11, &r[0], 8);
_d = _mm512_mask_fnmadd_pd(_res2, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx11, _d, 8);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx12, &r[0], 8);
_d = _mm512_mask_fnmadd_pd(_res3, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx12, _d, 8);
_v = _mm512_mask_i32gather_pd(_und, _crt, _idx13, &r[0], 8);
_d = _mm512_mask_fnmadd_pd(_res4, _crt, _half, _v);
_mm512_mask_i32scatter_pd(&r[0], _crt, _idx13, _d, 8);
_next = _mm512_kxor(_next, _crt);
} while(_next);
}
/* Remainder loop */
for(i = lim; i < ie1; i++)
{
const uint32_t node0 = n0[i];
const uint32_t node1 = n1[i];
const double xn = x0[i];
const double yn = x1[i];
const double zn = x2[i];
const double ln = x3[i];
const double xmean = 0.5f * (xyz0[node0] + xyz0[node1]);
const double ymean = 0.5f * (xyz1[node0] + xyz1[node1]);
const double zmean = 0.5f * (xyz2[node0] + xyz2[node1]);
/*
Now lets get our other 2 vectors
For first vector, use {1,0,0} and subtract off the component
in the direction of the face normal. If the inner product of
{1,0,0} is close to unity, use {0,1,0}
*/
double X1 = (fabs(xn) < 0.95) ? (1 - xn * xn) : (- yn * xn);
double Y1 = (fabs(xn) < 0.95) ? (- xn * yn) : (1 - yn * yn);
double Z1 = (fabs(xn) < 0.95) ? (- xn * zn) : (- yn * zn);
/*
Normalize the first vector
*/
double size = X1 * X1;
size += Y1 * Y1;
size += Z1 * Z1;
size = sqrt(size);
X1 /= size;
Y1 /= size;
Z1 /= size;
/*
Take cross-product of normal and V1 to get V2
*/
const double X2 = yn * Z1 - zn * Y1;
const double Y2 = zn * X1 - xn * Z1;
const double Z2 = xn * Y1 - yn * X1;
/*
Get variables on "left" and "right" side of face
*/
double rx = xmean - xyz0[node0];
double ry = ymean - xyz1[node0];
double rz = zmean - xyz2[node0];
const uint32_t idx0 = bsz * node0;
const uint32_t idx1 = bsz * node1;
// Pressure
double pL = q[idx0 + 0] + gradx0[idx0 + 0] * rx;
pL += gradx1[idx0 + 0] * ry;
pL += gradx2[idx0 + 0] * rz;
// Velocity u
double uL = q[idx0 + 1] + gradx0[idx0 + 1] * rx;
uL += gradx1[idx0 + 1] * ry;
uL += gradx2[idx0 + 1] * rz;
// Velocity v
double vL = q[idx0 + 2] + gradx0[idx0 + 2] * rx;
vL += gradx1[idx0 + 2] * ry;
vL += gradx2[idx0 + 2] * rz;
// Velocity w
double wL = q[idx0 + 3] + gradx0[idx0 + 3] * rx;
wL += gradx1[idx0 + 3] * ry;
wL += gradx2[idx0 + 3] * rz;
double ubarL = xn * uL;
ubarL += yn * vL;
ubarL += zn * wL;
rx = xmean - xyz0[node1];
ry = ymean - xyz1[node1];
rz = zmean - xyz2[node1];
// Pressure
double pR = q[idx1 + 0] + gradx0[idx1 + 0] * rx;
pR += gradx1[idx1 + 0] * ry;
pR += gradx2[idx1 + 0] * rz;
// Velocity u
double uR = q[idx1 + 1] + gradx0[idx1 + 1] * rx;
uR += gradx1[idx1 + 1] * ry;
uR += gradx2[idx1 + 1] * rz;
// Velocity v
double vR = q[idx1 + 2] + gradx0[idx1 + 2] * rx;
vR += gradx1[idx1 + 2] * ry;
vR += gradx2[idx1 + 2] * rz;
// Velocity w
double wR = q[idx1 + 3] + gradx0[idx1 + 3] * rx;
wR += gradx1[idx1 + 3] * ry;
wR += gradx2[idx1 + 3] * rz;
double ubarR = xn * uR;
ubarR += yn * vR;
ubarR += zn * wR;
/* Compute averages */
const double u = 0.5f * (uL + uR);
const double v = 0.5f * (vL + vR);
const double w = 0.5f * (wL + wR);
double ubar = xn * u;
ubar += yn * v;
ubar += zn * w;
double phi1 = xn * BETA;
phi1 += u * ubar;
double phi2 = yn * BETA;
phi2 += v * ubar;
double phi3 = zn * BETA;
phi3 += w * ubar;
double phi4 = Y2 * phi3;
phi4 -= Z2 * phi2;
double phi5 = Z2 * phi1;
phi5 -= X2 * phi3;
double phi6 = X2 * phi2;
phi6 -= Y2 * phi1;
double phi7 = Z1 * phi2;
phi7 -= Y1 * phi3;
double phi8 = X1 * phi3;
phi8 -= Z1 * phi1;
double phi9 = Y1 * phi1;
phi9 -= X1 * phi2;
double c2 = ubar * ubar + BETA;
double c = sqrt(c2);
/*
Now compute eigenvalues, eigenvectors, and strengths
*/
const double uac = ubar + c;
const double usc = ubar - c;
const double eig1 = fabs(ubar);
const double eig2 = fabs(uac);
const double eig3 = fabs(usc);
const double dp = pR - pL;
const double du = uR - uL;
const double dv = vR - vL;
const double dw = wR - wL;
/*
Components of T(inverse)
*/
double ti11 = u * phi4;
ti11 += v * phi5;
ti11 += w * phi6;
ti11 = -ti11 / BETA;
double ti21 = u * phi7;
ti21 += v * phi8;
ti21 += w * phi9;
ti21 = -ti21 / BETA;
double ti31 = 0.5f * (c - ubar);
ti31 /= BETA;
double ti41 = -0.5f * uac;
ti41 /= BETA;
/*
jumps (T(inverse) * dq)
*/
double dv1 = ti11 * dp;
dv1 += phi4 * du;
dv1 += phi5 * dv;
dv1 += phi6 * dw;
dv1 /= c2;
double dv2 = ti21 * dp;
dv2 += phi7 * du;
dv2 += phi8 * dv;
dv2 += phi9 * dw;
dv2 /= c2;
double dv3 = 2.f * ti31 * dp;
dv3 += xn * du;
dv3 += yn * dv;
dv3 += zn * dw;
dv3 *= 0.5f / c2;
double dv4 = 2.f * ti41 * dp;
dv4 += xn * du;
dv4 += yn * dv;
dv4 += zn * dw;
dv4 *= 0.5f / c2;
/*
Now get elements of T
*/
const double r13 = c * BETA;
const double r23 = u * uac + xn * BETA;
const double r33 = v * uac + yn * BETA;
const double r43 = w * uac + zn * BETA;
const double r14 = -c * BETA;
const double r24 = u * usc + xn * BETA;
const double r34 = v * usc + yn * BETA;
const double r44 = w * usc + zn * BETA;
/*
Calculate T* |lambda| * T(inverse)
*/
double t1 = eig2 * r13 * dv3 + eig3 * r14 * dv4;
double t2 = eig1 * X1 * dv1 + eig1 * X2 * dv2;
t2 += eig2 * r23 * dv3 + eig3 * r24 * dv4;
double t3 = eig1 * Y1 * dv1 + eig1 * Y2 * dv2;
t3 += eig2 * r33 * dv3 + eig3 * r34 * dv4;
double t4 = eig1 * Z1 * dv1 + eig1 * Z2 * dv2;
t4 += eig2 * r43 * dv3 + eig3 * r44 * dv4;
/*
Modify to calculate .5(fl +fr) from nodes
instead of extrapolated ones
*/
const double fluxp1 = ln * BETA * ubarL;
const double fluxp2 = ln * (uL * ubarL + xn * pL);
const double fluxp3 = ln * (vL * ubarL + yn * pL);
const double fluxp4 = ln * (wL * ubarL + zn * pL);
/*
Now the right side
*/
const double fluxm1 = ln * BETA * ubarR;
const double fluxm2 = ln * (uR * ubarR + xn * pR);
const double fluxm3 = ln * (vR * ubarR + yn * pR);
const double fluxm4 = ln * (wR * ubarR + zn * pR);
const double res1 = 0.5f * (fluxp1 + fluxm1 - ln * t1);
const double res2 = 0.5f * (fluxp2 + fluxm2 - ln * t2);
const double res3 = 0.5f * (fluxp3 + fluxm3 - ln * t3);
const double res4 = 0.5f * (fluxp4 + fluxm4 - ln * t4);
r[idx0 + 0] = (part[node0] == t) ? (r[idx0 + 0] + res1) : r[idx0 + 0];
r[idx0 + 1] = (part[node0] == t) ? (r[idx0 + 1] + res2) : r[idx0 + 1];
r[idx0 + 2] = (part[node0] == t) ? (r[idx0 + 2] + res3) : r[idx0 + 2];
r[idx0 + 3] = (part[node0] == t) ? (r[idx0 + 3] + res4) : r[idx0 + 3];
r[idx1 + 0] = (part[node1] == t) ? (r[idx1 + 0] - res1) : r[idx1 + 0];
r[idx1 + 1] = (part[node1] == t) ? (r[idx1 + 1] - res2) : r[idx1 + 1];
r[idx1 + 2] = (part[node1] == t) ? (r[idx1 + 2] - res3) : r[idx1 + 2];
r[idx1 + 3] = (part[node1] == t) ? (r[idx1 + 3] - res4) : r[idx1 + 3];
}
}
uint32_t i;
for(i = 0; i < snfc; i++)
{
const uint32_t if0 = snfic[i];
const uint32_t if1 = snfic[i+1];
uint32_t j;
#pragma omp parallel for
for(j = if0; j < if1; j++)
{
const uint32_t node0 = sn0[j];
const uint32_t node1 = sn1[j];
const uint32_t node2 = sn2[j];
const double p1 = q[bsz * node0];
const double p2 = q[bsz * node1];
const double p3 = q[bsz * node2];
const double ax = xyz0[node1] - xyz0[node0];
const double ay = xyz1[node1] - xyz1[node0];
const double az = xyz2[node1] - xyz2[node0];
const double bx = xyz0[node2] - xyz0[node0];
const double by = xyz1[node2] - xyz1[node0];
const double bz = xyz2[node2] - xyz2[node0];
/*
Normal points away from grid interior.
Magnitude is 1/3 area of surface triangle.
*/
double xn = ay * bz;
xn -= az * by;
xn *= MAG1;
double yn = ax * bz;
yn -= az * bx;
yn *= MAG0;
double zn = ax * by;
zn -= ay * bx;
zn *= MAG1;
double pa = 0.125f * (p2 + p3);
pa += 0.75f * p1;
double pb = 0.125f * (p3 + p1);
pb += 0.75f * p2;
double pc = 0.125f * (p1 + p2);
pc += 0.75f * p3;
uint32_t idx;
idx = bsz * node0;
r[idx + 1] += xn * pa;
r[idx + 2] += yn * pa;
r[idx + 3] += zn * pa;
idx = bsz * node1;
r[idx + 1] += xn * pb;
r[idx + 2] += yn * pb;
r[idx + 3] += zn * pb;
idx = bsz * node2;
r[idx + 1] += xn * pc;
r[idx + 2] += yn * pc;
r[idx + 3] += zn * pc;
}
}
/* Do the free boundaries */
#pragma omp parallel for
for(i = 0; i < nfnodes; i++)
{
uint32_t n = nfptr[i];
/*
Get normal and "other" 2 vectors. Remember that fxn,fyn and fzn
has the magnitude of the face contained in it.
*/
double xn = f_xyz0[i];
double yn = f_xyz1[i];
double zn = f_xyz2[i];
double area = xn * xn;
area += yn * yn;
area += zn * zn;
area = sqrt(area);
xn /= area;
yn /= area;
zn /= area;
/*
Now lets get our other 2 vectors
For first vector, use {1,0,0} and subtract off the component
in the direction of the face normal. If the inner product of
{1,0,0} is close to unity, use {0,1,0}
*/
double X1, Y1, Z1;
double dot = xn;
if(fabs(dot) < 0.95f)
{
X1 = 1.f - dot * xn;
Y1 = -dot * yn;
Z1 = -dot * zn;
}
else
{
dot = yn;
X1 = -dot * xn;
Y1 = 1.f - dot * yn;
Z1 = -dot * zn;
}
/*
Normalize the first vector (V1)
*/
double size = X1 * X1;
size += Y1 * Y1;
size += Z1 * Z1;
size = sqrt(size);
X1 /= size;
Y1 /= size;
Z1 /= size;
/*
Take cross-product of normal with V1 to get V2
*/
double X2 = yn * Z1;
X2 -= zn * Y1;
double Y2 = zn * X1;
Y2 -= xn * Z1;
double Z2 = xn * Y1;
Z2 -= yn * X1;
/*
Calculate elements of T and T(inverse) evaluated at free-stream
*/
double ubar0 = xn * velocity_u;
ubar0 += yn * velocity_v;
ubar0 += zn * velocity_w;
double c20 = ubar0 * ubar0 + BETA;
double c0 = sqrt(c20);
double phi1 = xn * BETA;
phi1 += velocity_u * ubar0;
double phi2 = yn * BETA;
phi2 += velocity_v * ubar0;
double phi3 = zn * BETA;
phi3 += velocity_w * ubar0;
double phi4 = Y2 * phi3;
phi4 -= Z2 * phi2;
double phi5 = Z2 * phi1;
phi5 -= X2 * phi3;
double phi6 = X2 * phi2;
phi6 -= Y2 * phi1;
double phi7 = Z1 * phi2;
phi7 -= Y1 * phi3;
double phi8 = X1 * phi3;
phi8 -= Z1 * phi1;
double phi9 = Y1 * phi1;
phi9 -= X1 * phi2;
double t13 = c0 * BETA;
double t23 = velocity_u * (ubar0 + c0);
t23 += xn * BETA;
double t33 = velocity_v * (ubar0 + c0);
t33 += yn * BETA;
double t43 = velocity_w * (ubar0 + c0);
t43 += zn * BETA;
double t14 = -c0 * BETA;
double t24 = velocity_u * (ubar0 - c0);
t24 += xn * BETA;
double t34 = velocity_v * (ubar0 - c0);
t34 += yn * BETA;
double t44 = velocity_w * (ubar0 - c0);
t44 += zn * BETA;
double ti11 = velocity_u * phi4;
ti11 += velocity_v * phi5;
ti11 += velocity_w * phi6;
ti11 = -ti11/BETA;
double ti21 = velocity_u * phi7;
ti21 += velocity_v * phi8;
ti21 += velocity_w * phi9;
ti21 = -ti21/BETA;
double ti31 = 0.5f * (c0 - ubar0);
ti31 /= BETA;
double ti41 = -0.5f * (c0 + ubar0);
ti41 /= BETA;
/*
Now, get the variables on the "inside"
*/
double pi = q[bsz * n + 0];
double ui = q[bsz * n + 1];
double vi = q[bsz * n + 2];
double wi = q[bsz * n + 3];
double un = xn * ui;
un += yn * vi;
un += zn * wi;
/*
If ubar is negative, take the reference condition from outside
*/
double pr, ur, vr, wr;
if(un > 0.f)
{
pr = pi;
ur = ui;
vr = vi;
wr = wi;
}
else
{
pr = pressure;
ur = velocity_u;
vr = velocity_v;
wr = velocity_w;
}
/*
Set rhs
*/
double rhs1 = ti11 * pr;
rhs1 += phi4 * ur;
rhs1 += phi5 * vr;
rhs1 += phi6 * wr;
rhs1 /= c20;
double rhs2 = ti21 * pr;
rhs2 += phi7 * ur;
rhs2 += phi8 * vr;
rhs2 += phi9 * wr;
rhs2 /= c20;
double rhs3 = 2.f * ti31 * pi;
rhs3 += xn * ui;
rhs3 += yn * vi;
rhs3 += zn * wi;
rhs3 = 0.5f * rhs3 / c20;
double rhs4 = 2.f * ti41 * pressure;
rhs4 += xn * velocity_u;
rhs4 += yn * velocity_v;
rhs4 += zn * velocity_w;
rhs4 = 0.5f * rhs4 / c20;
/*
Now do matrix multiplication to get values on boundary
*/
double pb = t13 * rhs3;
pb += t14 * rhs4;
double ub = X1 * rhs1;
ub += X2 * rhs2;
ub += t23 * rhs3;
ub += t24 * rhs4;
double vb = Y1 * rhs1;
vb += Y2 * rhs2;
vb += t33 * rhs3;
vb += t34 * rhs4;
double wb = Z1 * rhs1;
wb += Z2 * rhs2;
wb += t43 * rhs3;
wb += t44 * rhs4;
double ubar = xn * ub;
ubar += yn * vb;
ubar += zn * wb;
uint32_t idx = bsz * n;
r[idx + 0] += area * BETA * ubar;
r[idx + 1] += area * (ub * ubar + xn * pb);
r[idx + 2] += area * (vb * ubar + yn * pb);
r[idx + 3] += area * (wb * ubar + zn * pb);
}
compute_time(&ktime, flux->t);
}
|
genopheno.h | /**
* CMA-ES, Covariance Matrix Adaptation Evolution Strategy
* Copyright (c) 2014 Inria
* Author: Emmanuel Benazera <emmanuel.benazera@lri.fr>
*
* This file is part of libcmaes.
*
* libcmaes 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.
*
* libcmaes 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 libcmaes. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef GENOPHENO_H
#define GENOPHENO_H
#include <libcmaes/noboundstrategy.h>
#include <libcmaes/pwq_bound_strategy.h>
#include <libcmaes/scaling.h>
#include <vector>
namespace libcmaes
{
typedef std::function<void (const double*, double*, const int&)> TransFunc;
template <class TBoundStrategy=NoBoundStrategy,class TScalingStrategy=NoScalingStrategy>
class GenoPheno
{
friend class CMASolutions;
public:
GenoPheno()
:_id(true)
{}
GenoPheno(TransFunc &genof, TransFunc &phenof)
:_genof(genof),_phenof(phenof),_id(false)
{}
GenoPheno(const double *lbounds, const double *ubounds, const int &dim)
:_boundstrategy(lbounds,ubounds,dim),_id(true),_scalingstrategy(lbounds,ubounds,dim)
{
if (_scalingstrategy._id)
_boundstrategy = TBoundStrategy(lbounds,ubounds,dim);
else
{
std::vector<double> lb(dim,_scalingstrategy._intmin);
std::vector<double> ub(dim,_scalingstrategy._intmax);
_boundstrategy = TBoundStrategy(&lb.front(),&ub.front(),lbounds,ubounds,dim);
}
}
GenoPheno(TransFunc &genof, TransFunc &phenof,
const double *lbounds, const double *ubounds, const int &dim)
:_boundstrategy(lbounds,ubounds,dim),_genof(genof),_phenof(phenof),_id(false),_scalingstrategy(lbounds,ubounds,dim)
{
if (_scalingstrategy._id)
_boundstrategy = TBoundStrategy(lbounds,ubounds,dim);
else
{
std::vector<double> lb(dim,_scalingstrategy._intmin);
std::vector<double> ub(dim,_scalingstrategy._intmax);
_boundstrategy = TBoundStrategy(&lb.front(),&ub.front(),lbounds,ubounds,dim);
}
}
/**
* \brief this is a dummy constructor to accomodate an easy to use
* linear scaling with pwq bounds from a given scaling vector.
* Outside the library, the proper way to re-specialize for other
* custom scaling classes would be to inherit GenoPheno and
* specialize constructors within the new class.
* @param scaling vector for linear scaling of input parameters.
*/
GenoPheno(const dVec &scaling,
const dVec &shift,
const double *lbounds=nullptr,
const double *ubounds=nullptr)
:_id(true)
{
(void)scaling;
(void)shift;
(void)lbounds;
(void)ubounds;
}
~GenoPheno() {}
private:
dMat pheno_candidates(const dMat &candidates) const
{
if (!_id)
{
dMat ncandidates = dMat(candidates.rows(),candidates.cols());
#pragma omp parallel for if (candidates.cols() >= 100)
for (int i=0;i<candidates.cols();i++)
{
dVec ext = dVec(candidates.rows());
_phenof(candidates.col(i).data(),ext.data(),candidates.rows());
ncandidates.col(i) = ext;
}
return ncandidates;
}
return candidates;
}
dMat geno_candidates(const dMat &candidates) const
{
if (!_id)
{
dMat ncandidates = dMat(candidates.rows(),candidates.cols());
#pragma omp parallel for if (candidates.cols() >= 100)
for (int i=0;i<candidates.cols();i++)
{
dVec in = dVec(candidates.rows());
_genof(candidates.col(i).data(),in.data(),candidates.rows());
ncandidates.col(i) = in;
}
return ncandidates;
}
return candidates;
}
public:
dMat pheno(const dMat &candidates) const
{
// apply custom pheno function.
dMat ncandidates = pheno_candidates(candidates);
// apply bounds.
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_boundstrategy.to_f_representation(ncandidates.col(i),ycoli);
ncandidates.col(i) = ycoli;
}
// apply scaling.
if (!_scalingstrategy._id)
{
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_scalingstrategy.scale_to_f(ncandidates.col(i),ycoli);
ncandidates.col(i) = ycoli;
}
}
return ncandidates;
}
dMat geno(const dMat &candidates) const
{
// reverse scaling.
dMat ncandidates = candidates;
if (!_scalingstrategy._id)
{
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_scalingstrategy.scale_to_internal(ycoli,ncandidates.col(i));
ncandidates.col(i) = ycoli;
}
}
// reverse bounds.
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_boundstrategy.to_internal_representation(ycoli,ncandidates.col(i));
ncandidates.col(i) = ycoli;
}
// apply custom geno function.
ncandidates = geno_candidates(ncandidates);
return ncandidates;
}
dVec pheno(const dVec &candidate) const
{
// apply custom pheno function.
dVec ncandidate;
if (!_id)
{
ncandidate = dVec(candidate.rows());
_phenof(candidate.data(),ncandidate.data(),candidate.rows());
}
// apply bounds.
dVec phen = dVec::Zero(candidate.rows());
if (_id)
_boundstrategy.to_f_representation(candidate,phen);
else _boundstrategy.to_f_representation(ncandidate,phen);
// apply scaling.
if (!_scalingstrategy._id)
{
dVec sphen = dVec::Zero(phen.rows());
_scalingstrategy.scale_to_f(phen,sphen);
phen = sphen;
}
return phen;
}
dVec geno(const dVec &candidate) const
{
dVec ccandidate = candidate;
dVec gen = dVec::Zero(candidate.rows());
// reverse scaling.
if (!_scalingstrategy._id)
{
_scalingstrategy.scale_to_internal(gen,candidate);
ccandidate = gen;
}
// reverse bounds.
_boundstrategy.to_internal_representation(gen,ccandidate);
// apply custom geno function.
if (!_id)
{
dVec ncandidate(gen.rows());
_genof(gen.data(),ncandidate.data(),gen.rows());
return ncandidate;
}
else return gen;
}
TBoundStrategy get_boundstrategy() const { return _boundstrategy; }
TBoundStrategy& get_boundstrategy_ref() { return _boundstrategy; }
TScalingStrategy get_scalingstrategy() const { return _scalingstrategy; }
void remove_dimensions(const std::vector<int> &k)
{
if (!_scalingstrategy.is_id())
_scalingstrategy.remove_dimensions(k);
if (!_boundstrategy.is_id())
_boundstrategy.remove_dimensions(k);
}
private:
TBoundStrategy _boundstrategy;
TransFunc _genof;
TransFunc _phenof;
bool _id = false; /**< geno/pheno transform is identity. */
TScalingStrategy _scalingstrategy;
};
// specialization when no bound strategy nor scaling applies.
template<> inline dMat GenoPheno<NoBoundStrategy,NoScalingStrategy>::pheno(const dMat &candidates) const
{
if (_id)
return candidates;
else return pheno_candidates(candidates);
}
template<> inline dVec GenoPheno<NoBoundStrategy,NoScalingStrategy>::pheno(const dVec &candidate) const
{
if (_id)
return candidate;
else
{
dVec ncandidate(candidate.rows());
_phenof(candidate.data(),ncandidate.data(),candidate.rows());
return ncandidate;
}
}
template<> inline dVec GenoPheno<NoBoundStrategy,NoScalingStrategy>::geno(const dVec &candidate) const
{
if (_id)
return candidate;
else
{
dVec ncandidate(candidate.rows());
_genof(candidate.data(),ncandidate.data(),candidate.rows());
return ncandidate;
}
}
template<> inline dVec GenoPheno<NoBoundStrategy,linScalingStrategy>::pheno(const dVec &candidate) const
{
dVec ncandidate(candidate.rows());
if (!_id)
_phenof(candidate.data(),ncandidate.data(),candidate.rows());
dVec sphen;
if (!_id)
_scalingstrategy.scale_to_f(ncandidate,sphen);
else _scalingstrategy.scale_to_f(candidate,sphen);
return sphen;
}
template<> inline dVec GenoPheno<NoBoundStrategy,linScalingStrategy>::geno(const dVec &candidate) const
{
dVec scand = dVec::Zero(candidate.rows());
_scalingstrategy.scale_to_internal(scand,candidate);
if (_id)
return scand;
else
{
dVec ncandidate(candidate.rows());
_genof(scand.data(),scand.data(),candidate.rows());
return ncandidate;
}
}
template<> inline dMat GenoPheno<NoBoundStrategy,linScalingStrategy>::pheno(const dMat &candidates) const
{
dMat ncandidates;
if (!_id)
ncandidates = pheno_candidates(candidates);
else ncandidates = candidates;
// apply scaling.
#pragma omp parallel for if (ncandidates.cols() >= 100)
for (int i=0;i<ncandidates.cols();i++)
{
dVec ycoli;
_scalingstrategy.scale_to_f(ncandidates.col(i),ycoli);
ncandidates.col(i) = ycoli;
}
return ncandidates;
}
template<> inline GenoPheno<NoBoundStrategy,linScalingStrategy>::GenoPheno(const dVec &scaling,
const dVec &shift,
const double *lbounds,
const double *ubounds)
:_id(true)
{
(void)lbounds;
(void)ubounds;
_scalingstrategy = linScalingStrategy(scaling,shift);
}
template<> inline GenoPheno<pwqBoundStrategy,linScalingStrategy>::GenoPheno(const dVec &scaling,
const dVec &shift,
const double *lbounds,
const double *ubounds)
:_id(true)
{
_scalingstrategy = linScalingStrategy(scaling,shift);
if (lbounds == nullptr || ubounds == nullptr)
return;
dVec vlbounds = Eigen::Map<dVec>(const_cast<double*>(lbounds),scaling.size());
dVec vubounds = Eigen::Map<dVec>(const_cast<double*>(ubounds),scaling.size());
dVec nlbounds, nubounds;
_scalingstrategy.scale_to_internal(nlbounds,vlbounds);
_scalingstrategy.scale_to_internal(nubounds,vubounds);
_boundstrategy = pwqBoundStrategy(nlbounds.data(),nubounds.data(),scaling.size());
}
}
#endif
|
pr59073.c | /* PR c/59073 */
/* { dg-do compile } */
/* { dg-options "-fopenmp" } */
void
foo ()
{
int i;
#pragma omp distribute parallel for
for (i = 0; i < 10; i) /* { dg-error "invalid increment expression" } */
;
}
|
branch.c | /*
Copyright (c) 2013, Intel Corporation
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided
with the distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products
derived from this software without specific prior written
permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
*/
/*******************************************************************
NAME: Branch
PURPOSE: This program tests the effect of inner-loop branches on
application performance. We investigate four cases. The first
three all concern light-weight loops, i.e. loops that have
very few instructions associated with them.
1) branches inside vectorizable loops where the branch does
not necessarily inhibit vectorization: vector_go
2) branches inside vectorizable loops where the branch does
inhibit vectorization: vector_stop
3) branches inside non-vectorizable loops: no_vector
4) branches inside non-vectorizable loops in which each branch
corresponds to a sizeable and different set of instructions:
ins-heavy
CONSTRAINTS:
- the code should be continuously scalable, i.e. the user should
be able to specify the amount of work to be done.
- the code should be verifiable.
- the code should be executable with and without branches, with
otherwise identical amounts of work, to assess the impact of the
branches.
- the performance of the code should be dominated by the work in
the loops, not by memory bandwidth required to fetch data. This
means that arrays should fit in cache, and any loop over arrays
should be executed many times to amortize the initial memory load
costs and to remove noise from the timings.
- any arrays used should be initialized only once, to avoid confusing
performance impact of initialization with that of the branches.
Because the base loop over the array is short, it completes very
quickly, leading to very noisy results if it were timed separately.
Hence, we must time the ensemble of all iterations over the base
loop, which would include reinitializations if present.
- the branches should be "unpredictable," meaning that if the compiler
guesses them to be always taken or to be always not taken, it will
be wrong often. Otherwise the cost of a mispredicted branch may
not show up in the performance results.
- the amount of work in the codes containing the three different
types of light-weight loops should be the same to allow fair
comparisions.
- the code should not not produce overflow or underflow.
- the actual cost of computing the branch condition should be small,
so that we can assess the cost of the occurrence of the branch as
it disrupts vectorization and the hardware pipelines). If the
condition were expensive to compute and we run the code with and
without the branch, the performance difference would be exaggerated.
- Note: Casts from integer to float or double are not always vectorizable.
APPROACH:
- to avoid casts and keep conditionals inexpensive and exact, we use
only integer operations.
- we make sure that the numerical results of the codes for the
different branch structures and for the different paths following
the branch are identical.
- conditionals are simple comparisons to zero of quantities that
are computed anyway.
- initialization produces a saw-tooth pattern with frequent sign
crossings to defeat speculative branch execution.
- successive iterations over a relatively short array result simply
in a change of sign of all array elements, so that the results are
bounded, and verification values are easily computable.
USAGE: The program takes as input the number of threads, the length of the
vector loop, the number of repetitions of the loop, and the type of
branching
<progname> <# threads> <# iterations> <vector length> <branch_type>
The output consists of diagnostics to make sure the
algorithm worked, and of timing statistics.
FUNCTIONS CALLED:
Other than OpenMP or standard C functions, the following
functions are used in this program:
wtime()
bail_out()
fill_vec()
func*()
HISTORY: Written by Rob Van der Wijngaart, May 2006.
**********************************************************************************/
#include <par-res-kern_general.h>
#include <par-res-kern_omp.h>
/* the following values are only used as labels */
#define VECTOR_STOP 66
#define VECTOR_GO 77
#define NO_VECTOR 88
#define INS_HEAVY 99
#define WITH_BRANCHES 1
#define WITHOUT_BRANCHES 0
extern int fill_vec(int *vector, int vector_length, int iterations, int branch,
int *nfunc, int *rank);
int main(int argc, char ** argv)
{
int my_ID; /* Thread ID */
int vector_length; /* length of vector loop containing the branch */
int nfunc; /* number of functions used in INS_HEAVY option */
int rank; /* matrix rank used in INS_HEAVY option */
double branch_time, /* timing parameters */
no_branch_time;
double ops; /* double precision representation of integer ops */
int iterations; /* number of times the branch loop is carried out */
int i, iter, aux; /* dummies */
char *branch_type; /* string defining branching type */
int btype; /* integer encoding branching type */
int total=0,
total_ref; /* computed and stored verification values */
int nthread_input; /* thread parameters */
int nthread;
int num_error=0; /* flag that signals that requested and obtained
numbers of threads are the same */
/**********************************************************************************
** process and test input parameters
**********************************************************************************/
printf("Parallel Research Kernels version %s\n", PRKVERSION);
printf("OpenMP Branching Bonanza\n");
if (argc != 5){
printf("Usage: %s <# threads> <# iterations> <vector length>", *argv);
printf("<branching type>\n");
printf("branching type: vector_go, vector_stop, no_vector, ins_heavy\n");
exit(EXIT_FAILURE);
}
nthread_input = atoi(*++argv);
if ((nthread_input < 1) || (nthread_input > MAX_THREADS)) {
printf("ERROR: Invalid number of threads: %d\n", nthread_input);
exit(EXIT_FAILURE);
}
omp_set_num_threads(nthread_input);
iterations = atoi(*++argv);
if (iterations < 1 || iterations%2==1){
printf("ERROR: Iterations must be positive and even : %d \n", iterations);
exit(EXIT_FAILURE);
}
vector_length = atoi(*++argv);
if (vector_length < 1){
printf("ERROR: loop length must be >= 1 : %d \n",vector_length);
exit(EXIT_FAILURE);
}
branch_type = *++argv;
if (!strcmp(branch_type,"vector_stop")) btype = VECTOR_STOP;
else if (!strcmp(branch_type,"vector_go" )) btype = VECTOR_GO;
else if (!strcmp(branch_type,"no_vector" )) btype = NO_VECTOR;
else if (!strcmp(branch_type,"ins_heavy" )) btype = INS_HEAVY;
else {
printf("Wrong branch type: %s; choose vector_stop, vector_go, ", branch_type);
printf("no_vector, or ins_heavy\n");
exit(EXIT_FAILURE);
}
#pragma omp parallel private(i, my_ID, iter, aux, nfunc, rank) reduction(+:total)
{
int * RESTRICT vector; int * RESTRICT index;
#pragma omp master
{
nthread = omp_get_num_threads();
if (nthread != nthread_input) {
num_error = 1;
printf("ERROR: number of requested threads %d does not equal ",
nthread_input);
printf("number of spawned threads %d\n", nthread);
}
else {
printf("Number of threads = %d\n", nthread_input);
printf("Vector length = %d\n", vector_length);
printf("Number of iterations = %d\n", iterations);
printf("Branching type = %s\n", branch_type);
#if RESTRICT_KEYWORD
printf("No aliasing = on\n");
#else
printf("No aliasing = off\n");
#endif
}
}
bail_out(num_error);
my_ID = omp_get_thread_num();
vector = prk_malloc(vector_length*2*sizeof(int));
if (!vector) {
printf("ERROR: Thread %d failed to allocate space for vector\n", my_ID);
num_error = 1;
}
bail_out(num_error);
/* grab the second half of vector to store index array */
index = vector + vector_length;
/* initialize the array with entries with varying signs; array "index" is only
used to obfuscate the compiler (i.e. it won't vectorize a loop containing
indirect referencing). It functions as the identity operator. */
for (i=0; i<vector_length; i++) {
vector[i] = 3 - (i&7);
index[i] = i;
}
#pragma omp barrier
#pragma omp master
{
branch_time = wtime();
}
/* do actual branching */
switch (btype) {
case VECTOR_STOP:
/* condition vector[index[i]]>0 inhibits vectorization */
for (iter=0; iter<iterations; iter+=2) {
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = -(3 - (i&7));
if (vector[index[i]]>0) vector[i] -= 2*vector[i];
else vector[i] -= 2*aux;
}
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = (3 - (i&7));
if (vector[index[i]]>0) vector[i] -= 2*vector[i];
else vector[i] -= 2*aux;
}
}
break;
case VECTOR_GO:
/* condition aux>0 allows vectorization */
for (iter=0; iter<iterations; iter+=2) {
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = -(3 - (i&7));
if (aux>0) vector[i] -= 2*vector[i];
else vector[i] -= 2*aux;
}
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = (3 - (i&7));
if (aux>0) vector[i] -= 2*vector[i];
else vector[i] -= 2*aux;
}
}
break;
case NO_VECTOR:
/* condition aux>0 allows vectorization, but indirect indexing inbibits it */
for (iter=0; iter<iterations; iter+=2) {
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = -(3 - (i&7));
if (aux>0) vector[i] -= 2*vector[index[i]];
else vector[i] -= 2*aux;
}
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = (3 - (i&7));
if (aux>0) vector[i] -= 2*vector[index[i]];
else vector[i] -= 2*aux;
}
}
break;
case INS_HEAVY:
fill_vec(vector, vector_length, iterations, WITH_BRANCHES, &nfunc, &rank);
}
#pragma omp master
{
branch_time = wtime() - branch_time;
if (btype == INS_HEAVY) {
printf("Number of matrix functions = %d\n", nfunc);
printf("Matrix order = %d\n", rank);
}
}
/* do the whole thing once more, but now without branches */
#pragma omp barrier
#pragma omp master
{
no_branch_time = wtime();
}
/* do actual branching */
switch (btype) {
case VECTOR_STOP:
case VECTOR_GO:
for (iter=0; iter<iterations; iter+=2) {
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = -(3-(i&7));
vector[i] -= (vector[i] + aux);
}
for (i=0; i<vector_length; i++) {
aux = (3-(i&7));
vector[i] -= (vector[i] + aux);
}
}
break;
case NO_VECTOR:
for (iter=0; iter<iterations; iter+=2) {
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = -(3-(i&7));
vector[i] -= (vector[index[i]]+aux);
}
PRAGMA_OMP_FOR_SIMD
for (i=0; i<vector_length; i++) {
aux = (3-(i&7));
vector[i] -= (vector[index[i]]+aux);
}
}
break;
case INS_HEAVY:
fill_vec(vector, vector_length, iterations, WITHOUT_BRANCHES, &nfunc, &rank);
}
#pragma omp master
{
no_branch_time = wtime() - no_branch_time;
ops = (double)vector_length * (double)iterations * (double)nthread;
if (btype == INS_HEAVY) ops *= rank*(rank*19 + 6);
else ops *= 4;
}
for (total = 0, i=0; i<vector_length; i++) total += vector[i];
} /* end of OPENMP parallel region */
/* compute verification values */
total_ref = ((vector_length%8)*(vector_length%8-8) + vector_length)/2*nthread;
if (total == total_ref) {
printf("Solution validates\n");
printf("Rate (Mops/s) with branches: %lf time (s): %lf\n",
ops/(branch_time*1.e6), branch_time);
printf("Rate (Mops/s) without branches: %lf time (s): %lf\n",
ops/(no_branch_time*1.e6), no_branch_time);
#if VERBOSE
printf("Array sum = %d, reference value = %d\n", total, total_ref);
#endif
}
else {
printf("ERROR: array sum = %d, reference value = %d\n", total, total_ref);
}
exit(EXIT_SUCCESS);
}
|
sunmd5_fmt_plug.c | /*
* First cut, which was oSSL only, and done in 2 source files, by
* Bartavelle (please change to proper cite).
* Corrections, and re-write into SSE2, JimF.
*
* This software was written by Bartavelle <cite> and JimF
* jfoug AT cox dot net, in 2012 for CMIYC-12. No copyright is claimed,
* and the software is hereby placed in the public domain. In case this
* attempt to disclaim copyright and place the software in the public
* domain is deemed null and void, then the software is:
* Copyright (c) 2012 Bartavelle and JimF and it is hereby released to
* the general public under the following terms:
*
* This software may be modified, redistributed, and used for any
* purpose, in source and binary forms, with or without modification.
*
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_sunmd5;
#elif FMT_REGISTERS_H
john_register_one(&fmt_sunmd5);
#else
#include <string.h>
#include "os.h"
#if (!AC_BUILT || HAVE_UNISTD_H) && !_MSC_VER
#include <unistd.h>
#endif
#include <stdio.h>
#include <stdlib.h>
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 2
#endif
#endif
#include "arch.h"
#if !ARCH_LITTLE_ENDIAN
// For now, neuter this format from SIMD building.
// Someone else can port to BE at a later date.
#undef SIMD_COEF_32
#undef SIMD_PARA_MD5
#endif
#include "misc.h"
#include "options.h"
#include "misc.h"
#include "params.h"
#include "memory.h"
#include "common.h"
#include "formats.h"
#include "loader.h"
#include "memory.h"
#include "md5.h"
#include "simd-intrinsics.h"
#include "memdbg.h"
/*
* these 2 are for testing non-MMX mode. if we
* undefine these 2, then we force build oSSL model.
*/
//#undef SIMD_PARA_MD5
//#undef SIMD_COEF_32
#ifndef MD5_CBLOCK
#define MD5_CBLOCK 64
#endif
#ifndef MD5_DIGEST_LENGTH
#define MD5_DIGEST_LENGTH 16
#endif
#define STRINGIZE2(s) #s
#define STRINGIZE(s) STRINGIZE2(s)
#define PLAINTEXT_LENGTH 120
/* JtR actually only 'uses' 4 byte binaries from this format, but for cmp_exact we need full binary */
#define FULL_BINARY_SIZE 16
#define BINARY_SIZE 4
#define BINARY_ALIGN 4
/* salt==48 allows $md5$ (5) rounds=999999$ (14) salt (16) null(1) (40 allows for 19 byte salt) */
#define SALT_SIZE 40
#define SALT_ALIGN 1
#if SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT SIMD_COEF_32
#define MAX_KEYS_PER_CRYPT (16 * SIMD_COEF_32 * SIMD_PARA_MD5)
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
#define FORMAT_LABEL "SunMD5"
#define FORMAT_NAME ""
#define FORMAT_TAG "$md5$"
#define FORMAT_TAG2 "$md5,"
#define FORMAT_TAG_LEN (sizeof(FORMAT_TAG)-1)
#define ALGORITHM_NAME "MD5 " MD5_ALGORITHM_NAME
#define BENCHMARK_COMMENT ""
// it is salted, but very slow, AND there is no difference between 1 and multi salts, so simply turn off salt benchmarks
#define BENCHMARK_LENGTH -1
/* THIS one IS a depricated sun string, but for real: $md5$3UqYqndY$$6P.aaWOoucxxq.l00SS9k0: Sun MD5 "password" */
/* $md5,rounds=5000$GUBv0xjJ$$mSwgIswdjlTY0YxV7HBVm0 passwd This one was the python code from http://packages.python.org/passlib/lib/passlib.hash.sun_md5_crypt.html, but the rounds are busted. */
static struct fmt_tests tests[] = {
{"$md5$rounds=904$Vc3VgyFx44iS8.Yu$Scf90iLWN6O6mT9TA06NK/", "test"},
/* from CMIYC-12 */
{"$md5$rounds=904$ZZZig8GS.S0pRNhc$dw5NMYJoxLlnFq4E.phLy.", "Don41dL33"},
{"$md5$rounds=904$zSuVTn567UJLv14u$q2n2ZBFwKg2tElFBIzUq/0", "J4ck!3Wood"},
{"$md5$rounds=904$zuZVga3IOSfOshxU$gkUlHjR6apc6cr.7Bu5tt/", "K!m!M4rt!n"},
{"$md5$rounds=904$/KP7bVaKYTOcplkx$i74NBQdysLaDTUSEu5FtQ.", "people"},
{"$md5$rounds=904$/p4qqfWbTQcUqjNc$leW.8/vzyDpFQxSZrV0x.0", "me"},
{"$md5$rounds=904$wOyGLc0NMRiXJTvI$v69lVSnLif78hZbZWhuEG1", "private"},
// from pass_gen.pl 120 bytes long.
{"$md5$rounds=904$Vc3VgyFx44iS8.Yu$mEyEet31IlEkO4HTeobmq0", "012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789"},
{NULL}
};
#ifdef SIMD_PARA_MD5
#define PARA SIMD_PARA_MD5
#else
#define PARA 1
#endif
#ifdef SIMD_COEF_32
#define COEF SIMD_COEF_32
#define BLK_CNT (PARA*COEF)
#if PARA > 1
/*
* for para-3 32 bit at MAX_KEYS=1k, 0==281 1==292 2==284 3==284 4==283 5==282
* for para-3 32 bit at MAX_KEYS=512, 0==286 1==287 2==279 3==279 4==278 5==278
* for para-3 32 bit at MAX_KEYS=256, 0==278 1==282 2==276 3==274 4==274 5==274 Above these, the same speed
* for para-3 32 bit at MAX_KEYS=128, 0==272 1==277 2==271 3==270 4==271 5==270
* for para-3 32 bit at MAX_KEYS=64, 0==259 1==264 2==264 3==263 4==259 5==270
*/
#define MIN_DROP_BACK 1
#else
#define MIN_DROP_BACK 1
#endif
//#define GETPOS(i, index) ( ((index)&(SIMD_COEF_32-1))*4 + ((i)&(0xffffffff-3))*SIMD_COEF_32 + ((i)&3) )
//#define PARAGETPOS(i, index) ( ((index)&(SIMD_COEF_32-1))*4 + ((i)&(0xffffffff-3))*SIMD_COEF_32 + ((i)&3) + ((index)/SIMD_COEF_32)*SIMD_COEF_32*64 )
// these next 2 defines are same as above, but faster (on my gcc). Speed went fro 282 to 292, about 3.5% improvement. Shifts vs mults.
#define GETPOS(i, index) ( (((index)&(SIMD_COEF_32-1))<<2) + (((i)&(0xffffffff-3))*SIMD_COEF_32) + ((i)&3) )
#define PARAGETPOS(i, index) ( (((index)&(SIMD_COEF_32-1))<<2) + (((i)&(0xffffffff-3))*SIMD_COEF_32) + ((i)&3) + (((unsigned int)index/SIMD_COEF_32*SIMD_COEF_32)<<6) )
/* GETPOS0 can be 'faster' if we already have a pointer to the first DWORD in this block. Thus we can do a GETPOS(0,idx), and then multiple GETPOS0(x) and sometimes be faster */
#define GETPOS0(i) ( (((i)&(0xffffffff-3))*SIMD_COEF_32) + ((i)&3) )
/* output buffer for para is only 16 bytes per COEF, vs 64, so it's fewer bytes to jumbo to the next PARA start */
#define PARAGETOUTPOS(i, index) ( (((index)&(SIMD_COEF_32-1))<<2) + (((i)&(0xffffffff-3))*SIMD_COEF_32) + ((i)&3) + (((unsigned int)index/SIMD_COEF_32*SIMD_COEF_32)<<4) )
static unsigned char (*input_buf)[BLK_CNT*MD5_CBLOCK];
static unsigned char (*out_buf)[BLK_CNT*MD5_DIGEST_LENGTH];
static unsigned char (*input_buf_big)[25][BLK_CNT*MD5_CBLOCK];
#else
#define COEF 1
#endif
/* allocated in init() */
static char (*crypt_out)[FULL_BINARY_SIZE];
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static char *saved_salt;
/* minimum number of rounds we do, not including the per-user ones */
#define BASIC_ROUND_COUNT 4096 /* enough to make things interesting */
#define DIGEST_LEN 16
#define ROUND_BUFFER_LEN 64
/* ------------------------------------------------------------------ */
typedef struct {
MD5_CTX context; /* working buffer for MD5 algorithm */
unsigned char digest[DIGEST_LEN]; /* where the MD5 digest is stored */
} JTR_ALIGN(MEM_ALIGN_CACHE) Contx, *pConx;
static Contx *data;
/*
* Public domain quotation courtesy of Project Gutenberg.
* ftp://metalab.unc.edu/pub/docs/books/gutenberg/etext98/2ws2610.txt
* Hamlet III.ii - 1517 bytes, including trailing NUL
* ANSI-C string constant concatenation is a requirement here.
*/
#define constant_phrase_size 1517
static const char constant_phrase[] =
"To be, or not to be,--that is the question:--\n"
"Whether 'tis nobler in the mind to suffer\n"
"The slings and arrows of outrageous fortune\n"
"Or to take arms against a sea of troubles,\n"
"And by opposing end them?--To die,--to sleep,--\n"
"No more; and by a sleep to say we end\n"
"The heartache, and the thousand natural shocks\n"
"That flesh is heir to,--'tis a consummation\n"
"Devoutly to be wish'd. To die,--to sleep;--\n"
"To sleep! perchance to dream:--ay, there's the rub;\n"
"For in that sleep of death what dreams may come,\n"
"When we have shuffled off this mortal coil,\n"
"Must give us pause: there's the respect\n"
"That makes calamity of so long life;\n"
"For who would bear the whips and scorns of time,\n"
"The oppressor's wrong, the proud man's contumely,\n"
"The pangs of despis'd love, the law's delay,\n"
"The insolence of office, and the spurns\n"
"That patient merit of the unworthy takes,\n"
"When he himself might his quietus make\n"
"With a bare bodkin? who would these fardels bear,\n"
"To grunt and sweat under a weary life,\n"
"But that the dread of something after death,--\n"
"The undiscover'd country, from whose bourn\n"
"No traveller returns,--puzzles the will,\n"
"And makes us rather bear those ills we have\n"
"Than fly to others that we know not of?\n"
"Thus conscience does make cowards of us all;\n"
"And thus the native hue of resolution\n"
"Is sicklied o'er with the pale cast of thought;\n"
"And enterprises of great pith and moment,\n"
"With this regard, their currents turn awry,\n"
"And lose the name of action.--Soft you now!\n"
"The fair Ophelia!--Nymph, in thy orisons\n"
"Be all my sins remember'd.\n";
static unsigned char mod5[0x100];
static void init(struct fmt_main *self)
{
int i;
#ifdef SIMD_COEF_32
int j, k, ngroups = 1;
#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;
#ifdef SIMD_COEF_32
ngroups = omp_t;
#endif
#endif
#ifdef SIMD_COEF_32
/*
* allocate SSE2 input and output buffer space. For input's we have
* 2 buffers. One does the 'short' 1 block crypts. The other does the
* long 25 block crypts. All MUST be aligned to SIMD.
*/
input_buf = mem_calloc_align(ngroups, sizeof(*input_buf), MEM_ALIGN_CACHE);
input_buf_big = mem_calloc_align(ngroups, sizeof(*input_buf_big), MEM_ALIGN_CACHE);
out_buf = mem_calloc_align(ngroups, sizeof(*out_buf), MEM_ALIGN_CACHE);
/* not super optimal, but only done one time, at program startup, so speed is not important */
for (k = 0; k < ngroups; ++k) {
for (i = 0; i < constant_phrase_size; ++i) {
for (j = 0; j < BLK_CNT; ++j)
input_buf_big[k][(i+16)/64][PARAGETPOS((16+i)%64,j)] = constant_phrase[i];
}
}
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt, sizeof(*saved_key));
saved_salt = mem_calloc(1, SALT_SIZE + 1);
crypt_out = mem_calloc(self->params.max_keys_per_crypt, sizeof(*crypt_out));
data = mem_calloc_align(self->params.max_keys_per_crypt, sizeof(*data), MEM_ALIGN_CACHE);
for (i = 0; i < 0x100; i++)
mod5[i] = i % 5;
}
static void done(void)
{
MEM_FREE(data);
MEM_FREE(crypt_out);
MEM_FREE(saved_salt);
MEM_FREE(saved_key);
#ifdef SIMD_COEF_32
MEM_FREE(input_buf);
MEM_FREE(input_buf_big);
MEM_FREE(out_buf);
#endif
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *pos;
/* Common prefix. */
if (strncmp(ciphertext, FORMAT_TAG, FORMAT_TAG_LEN) &&
strncmp(ciphertext, FORMAT_TAG2, FORMAT_TAG_LEN))
return 0;
ciphertext += FORMAT_TAG_LEN-1;
/* Optional rounds. */
if (!strncmp(ciphertext, ",rounds=", 8) ||
!strncmp(ciphertext, "$rounds=", 8)) {
pos = ciphertext += 8;
while (*ciphertext >= '0' && *ciphertext <= '9')
ciphertext++;
/* Accept only numbers from 0 to 999999? */
/* Zero-padding is ok */
if (ciphertext - pos < 1 || ciphertext - pos > 6)
return 0;
}
if (*ciphertext++ != '$')
return 0;
/* Salt per se. */
pos = ciphertext;
while (atoi64[ARCH_INDEX(*ciphertext)] != 0x7F)
ciphertext++;
/* Upto 16 salt chars? */
if (ciphertext - pos > 16)
return 0;
/* One or two $ */
if (*ciphertext++ != '$')
return 0;
if (*ciphertext == '$')
ciphertext++;
/* Hash per se. */
pos = ciphertext;
while (atoi64[ARCH_INDEX(*ciphertext)] != 0x7F)
ciphertext++;
/* Samples from CMIYC-12 have garbage in padding bits.
Hence the check is disabled for now. */
if (ciphertext - pos != 22
/* || atoi64[ARCH_INDEX(*(ciphertext - 1))] & 0x0F */)
return 0;
/* No garbage at the end */
if (*ciphertext)
return 0;
return 1;
}
static long from64 (unsigned char *s, int n) {
long l = 0;
while (--n >= 0) {
l <<= 6;
l += atoi64[s[n]];
}
return l;
}
static void *get_binary(char *ciphertext)
{
static union {
char c[FULL_BINARY_SIZE];
uint32_t w[FULL_BINARY_SIZE / sizeof(uint32_t)];
} out;
unsigned l;
unsigned char *cp;
cp = (unsigned char*)strrchr(ciphertext, '$');
++cp;
l = from64(cp, 4);
out.c[0] = l>>16; out.c[6] = (l>>8)&0xFF; out.c[12] = l&0xFF;
l = from64(&cp[4], 4);
out.c[1] = l>>16; out.c[7] = (l>>8)&0xFF; out.c[13] = l&0xFF;
l = from64(&cp[8], 4);
out.c[2] = l>>16; out.c[8] = (l>>8)&0xFF; out.c[14] = l&0xFF;
l = from64(&cp[12], 4);
out.c[3] = l>>16; out.c[9] = (l>>8)&0xFF; out.c[15] = l&0xFF;
l = from64(&cp[16], 4);
out.c[4] = l>>16; out.c[10] = (l>>8)&0xFF; out.c[5] = l&0xFF;
l = from64(&cp[20], 2);
out.c[11] = l;
return out.c;
}
static void *get_salt(char *ciphertext)
{
static char out[SALT_SIZE];
char *p = strrchr(ciphertext, '$');
memset(out, 0, sizeof(out));
memcpy(out, ciphertext, p - ciphertext);
return out;
}
#define COMMON_GET_HASH_VAR crypt_out
#include "common-get-hash.h"
static int salt_hash(void *salt)
{
int h;
char *sp = (char *)salt;
char *cp = strrchr(sp, '$');
if (cp) --cp;
else cp = &sp[strlen(sp)-1];
h = atoi64[ARCH_INDEX(*cp--)];
h ^= (unsigned char)*cp--;
h <<= 5;
h ^= atoi64[ARCH_INDEX(*cp--)];
h ^= (unsigned char)*cp++;
return h & (SALT_HASH_SIZE - 1);
}
static void set_salt(void *salt)
{
memcpy(saved_salt, salt, SALT_SIZE);
}
static void set_key(char *key, int index)
{
strnzcpyn(saved_key[index], key, sizeof(*saved_key));
}
static char *get_key(int index)
{
return saved_key[index];
}
static int cmp_all(void *binary, int count)
{
int index;
for (index = 0; index < count; index++)
if (*((uint32_t*)binary) == *((uint32_t*)crypt_out[index]))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return *((uint32_t*)binary) == *((uint32_t*)crypt_out[index]);
}
static int cmp_exact(char *source, int index)
{
return !memcmp(get_binary(source), crypt_out[index], FULL_BINARY_SIZE);
}
// inline function, as a macro.
#define md5bit_1(d,b) ((d[((b)>>3)&0xF]&(1<<((b)&7))) ? 1 : 0)
// md5bit with no conditional logic.
#define md5bit_2(d,b) (((d[((b)>>3)&0xF]>>((b)&7)))&1)
inline static int
md5bit(unsigned char *digest, int bit_num)
{
return (((digest[((bit_num)>>3)&0xF]>>((bit_num)&7)))&1);
#if 0
/* original function from sun code */
int byte_off;
int bit_off;
bit_num %= 128; /* keep this bounded for convenience */
byte_off = bit_num / 8;
bit_off = bit_num % 8;
/* return the value of bit N from the digest */
return ((digest[byte_off] & (0x01 << bit_off)) ? 1 : 0);
#endif
}
inline static int
coin_step(unsigned char *digest, int i, int j, int shift)
{
return md5bit(digest, digest[(digest[i] >> mod5[digest[j]]) & 0x0F] >> ((digest[j] >> (digest[i] & 0x07)) & 0x01)) << shift;
}
#define ROUNDS "rounds="
#define ROUNDSLEN 7
/*
* get the integer value after rounds= where ever it occurs in the string.
* if the last char after the int is a , or $ that is fine anything else is an
* error.
*/
static unsigned int
getrounds(const char *s)
{
char *r, *p, *e;
long val;
if (s == NULL)
return (0);
if ((r = strstr(s, ROUNDS)) == NULL) {
return (0);
}
if (strncmp(r, ROUNDS, ROUNDSLEN) != 0) {
return (0);
}
p = r + ROUNDSLEN;
val = strtol(p, &e, 10);
/*
* An error occurred or there is non-numeric stuff at the end
* which isn't one of the crypt(3c) special chars ',' or '$'
*/
if (val < 0 ||
!(*e == '\0' || *e == ',' || *e == '$')) {
fprintf(stderr, "crypt_sunmd5: invalid rounds specification \"%s\"", s);
return (0);
}
return ((unsigned int)val);
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int idx, group_idx;
#ifdef _OPENMP
int ngroups = OMP_SCALE * omp_get_max_threads();
#else
int ngroups = 1;
#endif
int group_sz = (count + ngroups - 1) / ngroups;
for (idx = 0; idx < count; ++idx) {
/* initialise the context */
MD5_Init(&data[idx].context);
/* update with the (hopefully entropic) plaintext */
MD5_Update(&data[idx].context, (unsigned char *)saved_key[idx], strlen(saved_key[idx]));
/* update with the (publicly known) salt */
MD5_Update(&data[idx].context, (unsigned char *)saved_salt, strlen(saved_salt));
/* compute the digest */
MD5_Final(data[idx].digest, &data[idx].context);
}
#ifdef _OPENMP
#ifdef __INTEL_COMPILER
#ifdef SIMD_COEF_32
#pragma omp parallel for default(none) private(idx) shared(ngroups, group_sz, saved_salt, data, input_buf, input_buf_big, out_buf, constant_phrase)
#else
#pragma omp parallel for default(none) private(idx) shared(ngroups, group_sz, saved_salt, data, constant_phrase)
#endif // SIMD_COEF_32
#else
#ifdef SIMD_COEF_32
#pragma omp parallel for default(none) private(idx) shared(ngroups, group_sz, saved_salt, data, input_buf, input_buf_big, out_buf)
#else
#pragma omp parallel for default(none) private(idx) shared(ngroups, group_sz, saved_salt, data)
#endif // SIMD_COEF_32
#endif // __INTEL_COMPILER
#endif // _OPENMP
for (group_idx = 0; group_idx < ngroups; ++group_idx) {
int roundasciilen;
int round, maxrounds = BASIC_ROUND_COUNT + getrounds(saved_salt);
char roundascii[8];
int idx_begin = group_idx * group_sz;
int idx_end = idx_begin + group_sz > count ?
count : idx_begin + group_sz;
#ifdef SIMD_COEF_32
int i, j, zs, zb, zs0, zb0;
int bigs[MAX_KEYS_PER_CRYPT], smalls[MAX_KEYS_PER_CRYPT];
int nbig, nsmall;
// int zb2; // used in debugging
memset(input_buf[group_idx], 0, BLK_CNT*MD5_CBLOCK);
#endif
/*
* now to delay high-speed md5 implementations that have stuff
* like code inlining, loops unrolled and table lookup
*/
/* this is the 'first' sprintf(roundascii,"%d",round); The rest are at the bottom of the loop */
/* some compilers dont allow strcpy inside OMP block with default(none) used */
//strcpy(roundascii, "0");
roundascii[0] = '0';
roundascii[1] = 0;
roundasciilen=1;
for (round = 0; round < maxrounds; round++) {
#ifdef SIMD_COEF_32
nbig = nsmall = 0;
#endif
/*
* now this is computed at bottom of loop (we start properly set at "0", len==1)
* ** code replaced**
* roundasciilen = sprintf(roundascii, "%d", round);
*/
for (idx = idx_begin; idx < idx_end; ++idx) {
pConx px = &data[idx];
int indirect_a =
md5bit(px->digest, round) ?
coin_step(px->digest, 1, 4, 0) |
coin_step(px->digest, 2, 5, 1) |
coin_step(px->digest, 3, 6, 2) |
coin_step(px->digest, 4, 7, 3) |
coin_step(px->digest, 5, 8, 4) |
coin_step(px->digest, 6, 9, 5) |
coin_step(px->digest, 7, 10, 6)
:
coin_step(px->digest, 0, 3, 0) |
coin_step(px->digest, 1, 4, 1) |
coin_step(px->digest, 2, 5, 2) |
coin_step(px->digest, 3, 6, 3) |
coin_step(px->digest, 4, 7, 4) |
coin_step(px->digest, 5, 8, 5) |
coin_step(px->digest, 6, 9, 6);
int indirect_b =
md5bit(px->digest, round + 64) ?
coin_step(px->digest, 9, 12, 0) |
coin_step(px->digest, 10, 13, 1) |
coin_step(px->digest, 11, 14, 2) |
coin_step(px->digest, 12, 15, 3) |
coin_step(px->digest, 13, 0, 4) |
coin_step(px->digest, 14, 1, 5) |
coin_step(px->digest, 15, 2, 6)
:
coin_step(px->digest, 8, 11, 0) |
coin_step(px->digest, 9, 12, 1) |
coin_step(px->digest, 10, 13, 2) |
coin_step(px->digest, 11, 14, 3) |
coin_step(px->digest, 12, 15, 4) |
coin_step(px->digest, 13, 0, 5) |
coin_step(px->digest, 14, 1, 6);
int bit = md5bit(px->digest, indirect_a) ^ md5bit(px->digest, indirect_b);
/* xor a coin-toss; if true, mix-in the constant phrase */
#ifndef SIMD_COEF_32
/*
* This is the real 'crypt'. Pretty trival, but there are 2 possible sizes
* there is a 1 block crypte, and a 25 block crypt. They are chosen based
* upon the 'long' coin flip algorithm above.
*/
/* re-initialise the context */
MD5_Init(&px->context);
/* update with the previous digest */
MD5_Update(&px->context, px->digest, sizeof (px->digest));
/* optional, add a constant string. This is what makes the 'long' crypt loops */
if (bit)
MD5_Update(&px->context, (unsigned char *) constant_phrase, constant_phrase_size);
/* Add a decimal current roundcount */
MD5_Update(&px->context, (unsigned char *) roundascii, roundasciilen);
MD5_Final(px->digest, &px->context);
#else
/*
* we do not actually perform the work here. We run through all of the
* keys we are working on, and figure out which ones need 'small' buffers
* and which ones need large buffers. Then we can group them SIMD_COEF_32*SIMD_PARA_MD5
* at a time, later in the process.
*/
if (bit)
bigs[nbig++] = idx;
else
smalls[nsmall++] = idx;
#endif
}
#ifdef SIMD_COEF_32
/*
* ok, at this time we know what group each element is in. Either a large
* crypt, or small one. Now group our crypts up based upon the crypt size
* doing COEF*PARA at a time, until we have 2 'partial' buffers left. We
* 'waste' some CPU in them, but that is what happens. If there is only 1 or
* or 2, we may even drop back and use oSSL, it may be faster than an entire
* SSE crypt. We will have to time test, and find where the cut over point is
* but likely it will NOT be 0. The cuttover appears to be 1, meaning that 0,
* only a 1 limb PARA buffer will not be done (and will fall back to oSSL). This
* was for PARA==3 on 32 bit. A much BIGGER difference was in the MAX_KEYS_PER_CRYPT
* increasing this does make for more speed, HOWEVER, it also makes for more lost time
* if the run is stopped, since ALL of the words in the keys buffer would have to be
* redone again (hopefully only redone over the candidates left to test in the input file).
* The choice to use 512 MAX_KEYS seems about right.
*/
/********************************************/
/* get the little ones out of the way first */
/********************************************/
/* first, put the length text, 0x80, and buffer length into the buffer 1 time, not in the loop */
for (j = 0; j < BLK_CNT; ++j) {
unsigned char *cpo = &input_buf[group_idx][PARAGETPOS(0, j)];
int k;
for (k = 0; k < roundasciilen; ++k) {
cpo[GETPOS0(k+16)] = roundascii[k];
}
cpo[GETPOS0(k+16)] = 0x80;
((uint32_t*)cpo)[14 * SIMD_COEF_32]=((16+roundasciilen)<<3);
}
/* now do the 'loop' for the small 1-limb blocks. */
zs = zs0 = zb = zb0 = 0;
// zb2 = 0; /* for debugging */
for (i = 0; i < nsmall-MIN_DROP_BACK; i += BLK_CNT) {
for (j = 0; j < BLK_CNT && zs < nsmall; ++j) {
pConx px = &data[smalls[zs++]];
uint32_t *pi = (uint32_t*)px->digest;
uint32_t *po = (uint32_t*)&input_buf[group_idx][PARAGETPOS(0, j)];
/*
* digest is flat, input buf is SSE_COEF.
* input_buf is po (output) here, we are writing to it.
*/
po[0] = pi[0];
po[COEF] = pi[1];
po[COEF+COEF] = pi[2];
po[COEF+COEF+COEF] = pi[3];
}
SIMDmd5body(input_buf[group_idx], (unsigned int *)out_buf[group_idx], NULL, SSEi_MIXED_IN);
/*
* we convert from COEF back to flat. since this data will later be used
* in non linear order, there is no gain trying to keep it in COEF order
*/
for (j = 0; j < BLK_CNT && zs0 < nsmall; ++j) {
uint32_t *pi, *po;
pConx px = &data[smalls[zs0++]];
pi = (uint32_t*)&out_buf[group_idx][PARAGETOUTPOS(0, j)];
po = (uint32_t*)px->digest;
po[0] = pi[0];
po[1] = pi[COEF];
po[2] = pi[COEF+COEF];
po[3] = pi[COEF+COEF+COEF];
}
}
/* this catches any left over small's, and simply uses oSSL */
while (zs < nsmall) {
pConx px = &data[smalls[zs++]];
MD5_Init(&px->context);
MD5_Update(&px->context, px->digest, sizeof (px->digest));
MD5_Update(&px->context, (unsigned char *) roundascii, roundasciilen);
MD5_Final(px->digest, &px->context);
}
/*****************************************************************************
* Now do the big ones. These are more complex that the little ones
* (much more complex actually). Here, we have to insert the prior crypt
* into the first 16 bytes (just like in the little ones, but then we have
* our buffer 'pre-loaded' with a 1517 byte string. we append the text number
* after the null byte of that 1517 byte string, then put on the 0x80, and
* then put the bit length. NOTE, that this actually is an array of 25
* SSE_PARA buffer blocks, so there is quite a bit more manipluation of where
* in the buffer to write this. This is most noted in the text number, where
* it spills over from buffer 24 to 25.
*****************************************************************************/
/* first, put the length text, 0x80, and buffer length into the buffer 1 time, not in the loop */
for (j = 0; j < BLK_CNT; ++j) {
unsigned char *cpo23 = &(input_buf_big[group_idx][23][PARAGETPOS(0, j)]);
unsigned char *cpo24 = &(input_buf_big[group_idx][24][PARAGETPOS(0, j)]);
*((uint32_t*)cpo24) = 0; /* key clean */
cpo23[GETPOS0(61)] = roundascii[0];
switch(roundasciilen) {
case 1:
cpo23[GETPOS0(62)] = 0x80;
cpo23[GETPOS0(63)] = 0; /* key clean. */
break;
case 2:
cpo23[GETPOS0(62)] = roundascii[1];
cpo23[GETPOS0(63)] = 0x80;
break;
case 3:
cpo23[GETPOS0(62)] = roundascii[1];
cpo23[GETPOS0(63)] = roundascii[2];
cpo24[0] = 0x80;
break;
case 4:
cpo23[GETPOS0(62)] = roundascii[1];
cpo23[GETPOS0(63)] = roundascii[2];
cpo24[0] = roundascii[3];
cpo24[1] = 0x80;
break;
case 5:
cpo23[GETPOS0(62)] = roundascii[1];
cpo23[GETPOS0(63)] = roundascii[2];
cpo24[0] = roundascii[3];
cpo24[1] = roundascii[4];
cpo24[2] = 0x80;
break;
case 6:
cpo23[GETPOS0(62)] = roundascii[1];
cpo23[GETPOS0(63)] = roundascii[2];
cpo24[0] = roundascii[3];
cpo24[1] = roundascii[4];
cpo24[2] = roundascii[5];
cpo24[3] = 0x80;
break;
}
((uint32_t*)cpo24)[14*SIMD_COEF_32]=((16+constant_phrase_size+roundasciilen)<<3);
}
for (i = 0; i < nbig-MIN_DROP_BACK; i += BLK_CNT) {
for (j = 0; j < BLK_CNT && zb < nbig; ++j) {
pConx px = &data[bigs[zb++]];
uint32_t *pi = (uint32_t *)px->digest;
uint32_t *po = (uint32_t*)&input_buf_big[group_idx][0][PARAGETPOS(0, j)];
/*
* digest is flat, input buf is SSE_COEF.
* input_buf is po (output) here, we are writing to it.
*/
po[0] = pi[0];
po[COEF] = pi[1];
po[COEF+COEF] = pi[2];
po[COEF+COEF+COEF] = pi[3];
}
SIMDmd5body(input_buf_big[group_idx][0], (unsigned int *)out_buf[group_idx], NULL, SSEi_MIXED_IN);
for (j = 1; j < 25; ++j)
SIMDmd5body(input_buf_big[group_idx][j], (unsigned int *)out_buf[group_idx], (unsigned int *)out_buf[group_idx], SSEi_RELOAD|SSEi_MIXED_IN);
for (j = 0; j < BLK_CNT && zb0 < nbig; ++j) {
uint32_t *pi, *po;
pConx px = &data[bigs[zb0++]];
pi = (uint32_t*)&out_buf[group_idx][PARAGETOUTPOS(0, j)];
po = (uint32_t*)px->digest;
po[0] = pi[0];
po[1] = pi[COEF];
po[2] = pi[COEF+COEF];
po[3] = pi[COEF+COEF+COEF];
}
}
/* this catches any left overs, and simply uses oSSL */
while (zb < nbig) {
pConx px = &data[bigs[zb++]];
MD5_Init(&px->context);
MD5_Update(&px->context, px->digest, sizeof (px->digest));
MD5_Update(&px->context, (unsigned char *) constant_phrase, constant_phrase_size);
MD5_Update(&px->context, (unsigned char *) roundascii, roundasciilen);
MD5_Final(px->digest, &px->context);
}
#endif
/*
* this is the equivalent of the original code:
* roundasciilen = sprintf(roundascii, "%d", round);
* that was at the top of this rounds loop. We have moved
* it to the bottom. It does compute one 'extra' value that
* is never used (5001), but it is faster, and that one
* extra value causes no harm.
* we do call the sprintf a few times (at 10, 100, 1000, etc)
* but we only call it there.
*/
if (++roundascii[roundasciilen-1] == '9'+1) {
int j = roundasciilen-1;
if (j > 0) {
do {
roundascii[j] = '0';
++roundascii[--j];
} while (j > 0 && roundascii[j] == '9'+1);
}
if (!j && roundascii[0] == '9'+1) {
/* some compilers dont allow sprintf inside OMP block */
//roundasciilen = sprintf(roundascii, "%d", round+1);
roundascii[0] = '1';
roundascii[roundasciilen++] = '0';
roundascii[roundasciilen] = 0;
}
}
}
}
for (idx = 0; idx < count; ++idx) {
pConx px = &data[idx];
memcpy(crypt_out[idx], px->digest, FULL_BINARY_SIZE);
}
return count;
}
/*
* the number of iterations is the sum of a "basic round count" (4096) and
* a configurable "per-user round count"; we report the sum as cost
*/
unsigned int sunmd5_cost(void *salt)
{
return (unsigned int) (BASIC_ROUND_COUNT + getrounds(salt));
}
struct fmt_main fmt_sunmd5 = {
{
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,
{
/*
* sum of a "basic round count" (4096) and
* a configurable "per-user round count"
*/
"iteration count",
},
{ FORMAT_TAG, FORMAT_TAG2 },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{
sunmd5_cost,
},
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
salt_hash,
NULL,
set_salt,
set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
#define COMMON_GET_HASH_LINK
#include "common-get-hash.h"
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
chunk_gomp.c | /******************************************************************************
* FILE: omp_workshare1.c
* DESCRIPTION:
* OpenMP Example - Loop Work-sharing - C/C++ Version
* In this example, the iterations of a loop are scheduled dynamically
* across the team of threads. A thread will perform CHUNK iterations
* at a time before being scheduled for the next CHUNK of work.
* AUTHOR: Blaise Barney 5/99
* LAST REVISED: 04/06/05
******************************************************************************/
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#define CHUNKSIZE 10
#define N 100
int main (int argc, char *argv[]) {
int nthreads, tid, i, chunk;
float a[N], b[N], c[N];
/* Some initializations */
for (i=0; i < N; i++)
a[i] = b[i] = i * 1.0;
chunk = CHUNKSIZE;
#pragma omp parallel shared(a,b,c,nthreads,chunk) private(i,tid)
{
tid = omp_get_thread_num();
if (tid == 0)
{
nthreads = omp_get_num_threads();
printf("Number of threads = %d\n", nthreads);
}
printf("Thread %d starting...\n",tid);
#pragma omp for schedule(dynamic,chunk)
for (i=0; i<N; i++)
{
c[i] = a[i] + b[i];
printf("Thread %d: c[%d]= %f\n",tid,i,c[i]);
}
} /* end of parallel section */
}
|
wshfl.c | /* Copyright 2018-2019. Massachusetts Institute of Technology.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* Authors:
* 2018-2019 Siddharth Iyer <ssi@mit.edu>
*
* Tamir J, Uecker M, Chen W, Lai P, Alley MT, Vasanawala SS, Lustig M.
* T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging.
* Magnetic resonance in medicine. 2017 Jan 1;77(1):180-95.
*
* B Bilgic, BA Gagoski, SF Cauley, AP Fan, JR Polimeni, PE Grant,
* LL Wald, and K Setsompop, Wave-CAIPI for highly accelerated 3D
* imaging. Magn Reson Med (2014) doi: 10.1002/mrm.25347
*
* Iyer S, Bilgic B, Setsompop K.
* Faster T2 shuffling with Wave.
* Presented in the session: "Signal Encoding and Decoding" at ISMRM 2018.
* https://www.ismrm.org/18/program_files/O67.htm
*/
#include <stdbool.h>
#include <complex.h>
#include <math.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "num/multind.h"
#include "num/flpmath.h"
#include "num/fft.h"
#include "num/init.h"
#include "num/iovec.h"
#include "num/ops.h"
#include "num/ops_p.h"
#ifdef USE_CUDA
#include "num/gpuops.h"
#endif
#include "iter/iter.h"
#include "iter/lsqr.h"
#include "iter/misc.h"
#include "linops/linop.h"
#include "linops/fmac.h"
#include "linops/someops.h"
#include "linops/decompose_complex.h"
#include "misc/debug.h"
#include "misc/mri.h"
#include "misc/utils.h"
#include "misc/mmio.h"
#include "misc/misc.h"
#include "misc/opts.h"
#include "wavelet/wavthresh.h"
#include "lowrank/lrthresh.h"
#include "grecon/optreg.h"
#include "grecon/italgo.h"
static const char usage_str[] = "<maps> <wave> <phi> <reorder> <table> <output>";
static const char help_str[] =
"Perform a wave-shuffling reconstruction.\n\n"
"Conventions:\n"
" * (sx, sy, sz) - Spatial dimensions.\n"
" * wx - Extended FOV in READ_DIM due to\n"
" wave's voxel spreading.\n"
" * (nc, md) - Number of channels and ESPIRiT's \n"
" extended-SENSE model operator\n"
" dimensions (or # of maps).\n"
" * (tf, tk) - Turbo-factor and the rank\n"
" of the temporal basis used in\n"
" shuffling.\n"
" * ntr - Number of TRs, or the number of\n"
" (ky, kz) points acquired of one\n"
" echo image.\n"
" * n - Total number of (ky, kz) points\n"
" acquired. This is equal to the\n"
" product of ntr and tf.\n\n"
"Descriptions:\n"
" * reorder is an (n by 3) index matrix such that\n"
" [ky, kz, t] = reorder(i, :) represents the\n"
" (ky, kz) kspace position of the readout line\n"
" acquired at echo number (t), and 0 <= ky < sy,\n"
" 0 <= kz < sz, 0 <= t < tf).\n"
" * table is a (wx by nc by n) matrix such that\n"
" table(:, :, k) represents the kth multichannel\n"
" kspace line.\n\n"
"Expected dimensions:\n"
" * maps - ( sx, sy, sz, nc, md, 1, 1)\n"
" * wave - ( wx, sy, sz, 1, 1, 1, 1)\n"
" * phi - ( 1, 1, 1, 1, 1, tf, tk)\n"
" * output - ( sx, sy, sz, 1, md, 1, tk)\n"
" * reorder - ( n, 3, 1, 1, 1, 1, 1)\n"
" * table - ( wx, nc, n, 1, 1, 1, 1)";
/* Helper function to print out operator dimensions. */
static void print_opdims(const struct linop_s* op)
{
const struct iovec_s* domain = linop_domain(op);
const struct iovec_s* codomain = linop_codomain(op);
debug_printf(DP_INFO, "\tDomain: [");
for (long k = 0; k < domain->N; k ++)
debug_printf(DP_INFO, "%6ld", domain->dims[k]);
debug_printf(DP_INFO, "]\n");
debug_printf(DP_INFO, "\tCodomain: [");
for (long k = 0; k < codomain->N; k ++)
debug_printf(DP_INFO, "%6ld", codomain->dims[k]);
debug_printf(DP_INFO, "]\n");
}
/* Construct sampling mask array from reorder tables. */
static void construct_mask(
long reorder_dims[DIMS], complex float* reorder,
long mask_dims[DIMS], complex float* mask)
{
long n = reorder_dims[0];
long sy = mask_dims[1];
long sz = mask_dims[2];
long y = 0;
long z = 0;
long t = 0;
for (int i = 0; i < n; i++) {
y = lround(creal(reorder[i]));
z = lround(creal(reorder[i + n]));
t = lround(creal(reorder[i + 2 * n]));
mask[(y + z * sy) + t * sy * sz] = 1;
}
}
struct kern_s {
INTERFACE(linop_data_t);
unsigned int N;
long* reorder_dims; // Dimension of the index table: ( n, 3, 1, 1, 1, 1, 1, 1)
long* phi_dims; // Dimension of the temporal basis: ( 1, 1, 1, 1, 1, tf, tk, 1)
long* table_dims; // Dimension of the data table: (wx, nc, n, 1, 1, 1, 1, 1)
long* kernel_dims; // Dimension of the kernel: ( 1, sy, sz, 1, 1, 1, tk, tk)
complex float* reorder;
complex float* phi;
complex float* kernel;
complex float* gpu_kernel;
};
static DEF_TYPEID(kern_s);
/* Go to table from coefficient-kspace with memory efficiency. */
static void kern_apply(const linop_data_t* _data, complex float* dst, const complex float* src)
{
const struct kern_s* data = CAST_DOWN(kern_s, _data);
long wx = data->table_dims[0];
long sy = data->kernel_dims[1];
long sz = data->kernel_dims[2];
long nc = data->table_dims[1];
long n = data->reorder_dims[0];
long tf = data->phi_dims[5];
long tk = data->phi_dims[6];
long input_dims[] = { [0 ... DIMS - 1] = 1 };
input_dims[0] = wx;
input_dims[1] = sy;
input_dims[2] = sz;
input_dims[3] = nc;
input_dims[6] = tk;
long perm_dims[] = { [0 ... DIMS - 1] = 1 };
perm_dims[0] = wx;
perm_dims[1] = nc;
perm_dims[3] = tk;
perm_dims[4] = sy;
perm_dims[5] = sz;
complex float* perm = md_alloc_sameplace(DIMS, perm_dims, CFL_SIZE, src);
unsigned int permute_order[DIMS] = {0, 3, 5, 6, 1, 2, 4, 7};
for (unsigned int i = 8; i < DIMS; i++)
permute_order[i] = i;
md_permute(DIMS, permute_order, perm_dims, perm, input_dims, src, CFL_SIZE);
long vec_dims[] = {wx, nc, tf, 1};
long phi_mat_dims[] = { 1, 1, tf, tk};
long phi_in_dims[] = {wx, nc, 1, tk};
long fmac_dims[] = {wx, nc, tf, tk};
long line_dims[] = {wx, nc, 1, 1};
complex float* vec = md_alloc_sameplace(4, vec_dims, CFL_SIZE, src);
long vec_str[4];
md_calc_strides(4, vec_str, vec_dims, CFL_SIZE);
long phi_mat_str[4];
md_calc_strides(4, phi_mat_str, phi_mat_dims, CFL_SIZE);
long phi_in_str[4];
md_calc_strides(4, phi_in_str, phi_in_dims, CFL_SIZE);
long fmac_str[4];
md_calc_strides(4, fmac_str, fmac_dims, CFL_SIZE);
int y = -1;
int z = -1;
int t = -1;
for (int i = 0; i < n; i ++) {
y = lround(creal(data->reorder[i]));
z = lround(creal(data->reorder[i + n]));
t = lround(creal(data->reorder[i + 2 * n]));
md_clear(4, vec_dims, vec, CFL_SIZE);
md_zfmac2(4, fmac_dims, vec_str, vec, phi_in_str, (perm + ((wx * nc * tk) * (y + z * sy))), phi_mat_str, data->phi);
md_copy(4, line_dims, dst + (i * wx * nc), vec + (t * wx * nc), CFL_SIZE);
}
md_free(perm);
md_free(vec);
}
/* Collapse data table into the temporal basis for memory efficiency. */
static void kern_adjoint(const linop_data_t* _data, complex float* dst, const complex float* src)
{
struct kern_s* data = CAST_DOWN(kern_s, _data);
long wx = data->table_dims[0];
long sy = data->kernel_dims[1];
long sz = data->kernel_dims[2];
long nc = data->table_dims[1];
long n = data->reorder_dims[0];
long tf = data->phi_dims[5];
long tk = data->phi_dims[6];
long perm_dims[] = { [0 ... DIMS - 1] = 1 };
perm_dims[0] = wx;
perm_dims[1] = nc;
perm_dims[3] = tk;
perm_dims[4] = sy;
perm_dims[5] = sz;
complex float* perm = md_alloc_sameplace(DIMS, perm_dims, CFL_SIZE, dst);
md_clear(DIMS, perm_dims, perm, CFL_SIZE);
#ifdef _OPENMP
long num_threads = omp_get_max_threads();
#else
long num_threads = 1;
#endif
long vec_dims[] = {wx, nc, tf, 1};
long phi_mat_dims[] = { 1, 1, tf, tk};
long phi_out_dims[] = {wx, nc, 1, tk};
long fmac_dims[] = {wx, nc, tf, tk};
long line_dims[] = {wx, nc, 1, 1};
long vthrd_dims[] = {wx, nc, tf, 1, num_threads};
complex float* vec = md_alloc_sameplace(5, vthrd_dims, CFL_SIZE, dst);
md_clear(5, vthrd_dims, vec, CFL_SIZE);
long vec_str[4];
md_calc_strides(4, vec_str, vec_dims, CFL_SIZE);
long phi_mat_str[4];
md_calc_strides(4, phi_mat_str, phi_mat_dims, CFL_SIZE);
long phi_out_str[4];
md_calc_strides(4, phi_out_str, phi_out_dims, CFL_SIZE);
long fmac_str[4];
md_calc_strides(4, fmac_str, fmac_dims, CFL_SIZE);
long flag_dims[1] = { n };
complex float* flags = md_calloc(1, flag_dims, CFL_SIZE);
#pragma omp parallel for
for (int k = 0; k < n; k ++) {
#ifdef _OPENMP
int tid = omp_get_thread_num();
#else
int tid = 0;
#endif
int y = lround(creal(data->reorder[k]));
int z = lround(creal(data->reorder[k + n]));
int t = -1;
if (0 == flags[k]) {
md_clear(4, vec_dims, vec + (wx * nc * tf * tid), CFL_SIZE);
for (int i = k; i < n; i ++) {
if ((y == lround(creal(data->reorder[i]))) && (z == lround(creal(data->reorder[i + n])))) {
flags[i] = 1;
t = lround(creal(data->reorder[i + 2 * n]));
md_copy(4, line_dims, (vec + (wx * nc * tf * tid) + t * wx * nc), (src + i * wx * nc), CFL_SIZE);
}
}
md_zfmacc2(4, fmac_dims, phi_out_str, perm + (y + z * sy) * (wx * nc * tk), vec_str, vec + (wx * nc * tf * tid), phi_mat_str, data->phi);
}
}
long out_dims[] = { [0 ... DIMS - 1] = 1 };
out_dims[0] = wx;
out_dims[1] = sy;
out_dims[2] = sz;
out_dims[3] = nc;
out_dims[6] = tk;
unsigned int permute_order[DIMS] = {0, 4, 5, 1, 6, 2, 3, 7};
for (unsigned int i = 8; i < DIMS; i++)
permute_order[i] = i;
md_permute(DIMS, permute_order, out_dims, dst, perm_dims, perm, CFL_SIZE);
md_free(vec);
md_free(perm);
md_free(flags);
}
static void kern_normal(const linop_data_t* _data, complex float* dst, const complex float* src)
{
const struct kern_s* data = CAST_DOWN(kern_s, _data);
long wx = data->table_dims[0];
long sy = data->kernel_dims[1];
long sz = data->kernel_dims[2];
long nc = data->table_dims[1];
long tk = data->phi_dims[6];
long input_dims[DIMS] = { [0 ... DIMS - 1] = 1 };
input_dims[0] = wx;
input_dims[1] = sy;
input_dims[2] = sz;
input_dims[3] = nc;
input_dims[6] = tk;
long input_str[DIMS];
md_calc_strides(DIMS, input_str, input_dims, CFL_SIZE);
long output_dims[DIMS];
md_copy_dims(DIMS, output_dims, input_dims);
output_dims[6] = 1;
output_dims[7] = tk;
long output_str[DIMS];
md_calc_strides(DIMS, output_str, output_dims, CFL_SIZE);
long gpu_kernel_dims[DIMS] = { [0 ... DIMS - 1] = 1};
md_copy_dims(DIMS, gpu_kernel_dims, data->kernel_dims);
gpu_kernel_dims[0] = wx;
gpu_kernel_dims[3] = nc;
long kernel_str[DIMS];
md_calc_strides(DIMS, kernel_str, data->kernel_dims, CFL_SIZE);
long gpu_kernel_str[DIMS];
md_calc_strides(DIMS, gpu_kernel_str, gpu_kernel_dims, CFL_SIZE);
long fmac_dims[DIMS];
md_merge_dims(DIMS, fmac_dims, input_dims, data->kernel_dims);
md_clear(DIMS, output_dims, dst, CFL_SIZE);
#ifdef USE_CUDA
if(cuda_ondevice(src))
md_zfmac2(DIMS, fmac_dims, output_str, dst, input_str, src, gpu_kernel_str, data->gpu_kernel);
else
#endif
md_zfmac2(DIMS, fmac_dims, output_str, dst, input_str, src, kernel_str, data->kernel);
}
static void kern_free(const linop_data_t* _data)
{
const struct kern_s* data = CAST_DOWN(kern_s, _data);
xfree(data->reorder_dims);
xfree(data->phi_dims);
xfree(data->table_dims);
xfree(data->kernel_dims);
#ifdef USE_CUDA
if (data->gpu_kernel != NULL)
md_free(data->gpu_kernel);
#endif
xfree(data);
}
static const struct linop_s* linop_kern_create(bool gpu_flag,
const long _reorder_dims[DIMS], complex float* reorder,
const long _phi_dims[DIMS], complex float* phi,
const long _kernel_dims[DIMS], complex float* kernel,
const long _table_dims[DIMS])
{
PTR_ALLOC(struct kern_s, data);
SET_TYPEID(kern_s, data);
PTR_ALLOC(long[DIMS], reorder_dims);
PTR_ALLOC(long[DIMS], phi_dims);
PTR_ALLOC(long[DIMS], table_dims);
PTR_ALLOC(long[DIMS], kernel_dims);
md_copy_dims(DIMS, *reorder_dims, _reorder_dims);
md_copy_dims(DIMS, *phi_dims, _phi_dims);
md_copy_dims(DIMS, *table_dims, _table_dims);
md_copy_dims(DIMS, *kernel_dims, _kernel_dims);
data->reorder_dims = *PTR_PASS(reorder_dims);
data->phi_dims = *PTR_PASS(phi_dims);
data->table_dims = *PTR_PASS(table_dims);
data->kernel_dims = *PTR_PASS(kernel_dims);
data->reorder = reorder;
data->phi = phi;
data->kernel = kernel;
data->gpu_kernel = NULL;
#ifdef USE_CUDA
if(gpu_flag) {
long repmat_kernel_dims[DIMS] = { [0 ... DIMS - 1] = 1};
md_copy_dims(DIMS, repmat_kernel_dims, _kernel_dims);
repmat_kernel_dims[0] = _table_dims[0];
repmat_kernel_dims[3] = _table_dims[1];
long kernel_strs[DIMS];
long repmat_kernel_strs[DIMS];
md_calc_strides(DIMS, kernel_strs, _kernel_dims, CFL_SIZE);
md_calc_strides(DIMS, repmat_kernel_strs, repmat_kernel_dims, CFL_SIZE);
complex float* repmat_kernel = md_calloc(DIMS, repmat_kernel_dims, CFL_SIZE);
md_copy2(DIMS, repmat_kernel_dims, repmat_kernel_strs, repmat_kernel, kernel_strs, kernel, CFL_SIZE);
data->gpu_kernel = md_gpu_move(DIMS, repmat_kernel_dims, repmat_kernel, CFL_SIZE);
md_free(repmat_kernel);
}
#else
UNUSED(gpu_flag);
#endif
long input_dims[DIMS] = { [0 ... DIMS - 1] = 1 };
input_dims[0] = _table_dims[0];
input_dims[1] = _kernel_dims[1];
input_dims[2] = _kernel_dims[2];
input_dims[3] = _table_dims[1];
input_dims[6] = _phi_dims[6];
long output_dims[DIMS] = { [0 ... DIMS - 1] = 1 };
output_dims[0] = _table_dims[0];
output_dims[1] = _table_dims[1];
output_dims[2] = _reorder_dims[0];
const struct linop_s* K = linop_create(DIMS, output_dims, DIMS, input_dims, CAST_UP(PTR_PASS(data)), kern_apply, kern_adjoint, kern_normal, NULL, kern_free);
return K;
}
struct multc_s {
INTERFACE(linop_data_t);
unsigned int nc;
unsigned int md;
const complex float* maps;
const struct linop_s* sc_op; // Single channel operator.
};
static DEF_TYPEID(multc_s);
static void multc_apply(const linop_data_t* _data, complex float* dst, const complex float* src)
{
const struct multc_s* data = CAST_DOWN(multc_s, _data);
// Loading single channel operator.
const struct operator_s* fwd = data->sc_op->forward;
const long* sc_inp_dims = linop_domain(data->sc_op)->dims;
const long* sc_out_dims = linop_codomain(data->sc_op)->dims;
long sx = sc_inp_dims[0];
long sy = sc_inp_dims[1];
long sz = sc_inp_dims[2];
long wx = sc_out_dims[0];
long n = sc_out_dims[2];
long nc = data->nc;
long md = data->md;
long src_dims[] = { [0 ... DIMS - 1] = 1};
md_copy_dims(DIMS, src_dims, sc_inp_dims);
src_dims[MAPS_DIM] = md;
long dst_dims[] = { [0 ... DIMS - 1] = 1};
md_copy_dims(DIMS, dst_dims, sc_out_dims);
dst_dims[1] = nc;
long map_dims[] = { [0 ... DIMS - 1] = 1};
map_dims[0] = sx;
map_dims[1] = sy;
map_dims[2] = sz;
map_dims[3] = nc;
map_dims[4] = md;
long single_map_dims[] = { [0 ... DIMS - 1] = 1 };
md_copy_dims(DIMS, single_map_dims, map_dims);
single_map_dims[COIL_DIM] = 1;
complex float* single_map = md_alloc_sameplace(DIMS, single_map_dims, CFL_SIZE, src);
complex float* buffer = md_alloc_sameplace(DIMS, sc_inp_dims, CFL_SIZE, src);
long tbl_dims[] = { [0 ... DIMS - 1] = 1};
tbl_dims[0] = wx;
tbl_dims[1] = n;
tbl_dims[2] = nc;
complex float* tbl = md_alloc_sameplace(DIMS, tbl_dims, CFL_SIZE, src);
md_clear(DIMS, tbl_dims, tbl, CFL_SIZE);
long pos[] = { [0 ... DIMS - 1] = 0 };
long zfmac_dims[] = { [0 ... DIMS - 1] = 1 };
md_copy_dims(DIMS, zfmac_dims, src_dims);
long strides_single_map[DIMS];
md_calc_strides(DIMS, strides_single_map, single_map_dims, CFL_SIZE);
long strides_src[DIMS];
md_calc_strides(DIMS, strides_src, src_dims, CFL_SIZE);
long strides_sc_inp[DIMS];
md_calc_strides(DIMS, strides_sc_inp, sc_inp_dims, CFL_SIZE);
for (long k = 0; k < data->nc; k++) {
md_clear(DIMS, single_map_dims, single_map, CFL_SIZE);
md_clear(DIMS, sc_inp_dims, buffer, CFL_SIZE);
pos[COIL_DIM] = k;
md_slice(DIMS, COIL_FLAG, pos, map_dims, single_map, data->maps, CFL_SIZE);
pos[COIL_DIM] = 0;
md_zfmac2(DIMS, zfmac_dims, strides_sc_inp, buffer, strides_src, src, strides_single_map, single_map);
operator_apply(fwd, DIMS, sc_out_dims, tbl + (wx * n * k), DIMS, sc_inp_dims, buffer);
}
md_clear(DIMS, dst_dims, dst, CFL_SIZE);
unsigned int permute_order[DIMS] = {0, 2, 1};
for (unsigned int i = 3; i < DIMS; i++)
permute_order[i] = i;
md_permute(DIMS, permute_order, dst_dims, dst, tbl_dims, tbl, CFL_SIZE);
md_free(single_map);
md_free(buffer);
md_free(tbl);
}
static void multc_adjoint(const linop_data_t* _data, complex float* dst, const complex float* src)
{
const struct multc_s* data = CAST_DOWN(multc_s, _data);
// Loading single channel operator.
const struct operator_s* adj = data->sc_op->adjoint;
const long* sc_inp_dims = linop_codomain(data->sc_op)->dims;
const long* sc_out_dims = linop_domain(data->sc_op)->dims;
long sx = sc_out_dims[0];
long sy = sc_out_dims[1];
long sz = sc_out_dims[2];
long wx = sc_inp_dims[0];
long n = sc_inp_dims[2];
long nc = data->nc;
long md = data->md;
long src_dims[] = { [0 ... DIMS - 1] = 1};
md_copy_dims(DIMS, src_dims, sc_inp_dims);
src_dims[1] = nc;
long dst_dims[] = { [0 ... DIMS - 1] = 1};
md_copy_dims(DIMS, dst_dims, sc_out_dims);
dst_dims[MAPS_DIM] = md;
long map_dims[] = { [0 ... DIMS - 1] = 1};
map_dims[0] = sx;
map_dims[1] = sy;
map_dims[2] = sz;
map_dims[3] = nc;
map_dims[4] = md;
long single_map_dims[] = { [0 ... DIMS - 1] = 1 };
md_copy_dims(DIMS, single_map_dims, map_dims);
single_map_dims[COIL_DIM] = 1;
complex float* single_map = md_alloc_sameplace(DIMS, single_map_dims, CFL_SIZE, src);
complex float* buffer1 = md_alloc_sameplace(DIMS, sc_out_dims, CFL_SIZE, src);
complex float* buffer2 = md_alloc_sameplace(DIMS, dst_dims, CFL_SIZE, src);
long tbl_dims[] = { [0 ... DIMS - 1] = 1};
tbl_dims[0] = wx;
tbl_dims[2] = n;
complex float* tbl = md_alloc_sameplace(DIMS, tbl_dims, CFL_SIZE, src);
long pos[] = { [0 ... DIMS - 1] = 0 };
long strides_single_map[DIMS];
md_calc_strides(DIMS, strides_single_map, single_map_dims, CFL_SIZE);
long strides_sc_out[DIMS];
md_calc_strides(DIMS, strides_sc_out, sc_out_dims, CFL_SIZE);
long strides_dst[DIMS];
md_calc_strides(DIMS, strides_dst, dst_dims, CFL_SIZE);
md_clear(DIMS, dst_dims, dst, CFL_SIZE);
for (long k = 0; k < data->nc; k++) {
md_clear(DIMS, single_map_dims, single_map, CFL_SIZE);
md_clear(DIMS, sc_out_dims, buffer1, CFL_SIZE);
md_clear(DIMS, dst_dims, buffer2, CFL_SIZE);
md_clear(DIMS, tbl_dims, tbl, CFL_SIZE);
pos[1] = k;
md_slice(DIMS, 2, pos, src_dims, tbl, src, CFL_SIZE);
pos[1] = 0;
operator_apply(adj, DIMS, sc_out_dims, buffer1, DIMS, tbl_dims, tbl);
pos[COIL_DIM] = k;
md_slice(DIMS, COIL_FLAG, pos, map_dims, single_map, data->maps, CFL_SIZE);
pos[COIL_DIM] = 0;
md_zfmacc2(DIMS, dst_dims, strides_dst, buffer2, strides_sc_out, buffer1, strides_single_map, single_map);
md_zadd(DIMS, dst_dims, dst, dst, buffer2);
}
md_free(single_map);
md_free(buffer1);
md_free(buffer2);
md_free(tbl);
}
static void multc_normal(const linop_data_t* _data, complex float* dst, const complex float* src)
{
const struct multc_s* data = CAST_DOWN(multc_s, _data);
// Loading single channel operator.
const struct operator_s* nrm = data->sc_op->normal;
const long* sc_dims = linop_domain(data->sc_op)->dims;
long sx = sc_dims[0];
long sy = sc_dims[1];
long sz = sc_dims[2];
long nc = data->nc;
long md = data->md;
long dims[] = { [0 ... DIMS - 1] = 1};
md_copy_dims(DIMS, dims, sc_dims);
dims[MAPS_DIM] = md;
long map_dims[] = { [0 ... DIMS - 1] = 1};
map_dims[0] = sx;
map_dims[1] = sy;
map_dims[2] = sz;
map_dims[3] = nc;
map_dims[4] = md;
long single_map_dims[] = { [0 ... DIMS - 1] = 1 };
md_copy_dims(DIMS, single_map_dims, map_dims);
single_map_dims[COIL_DIM] = 1;
complex float* single_map = md_alloc_sameplace(DIMS, single_map_dims, CFL_SIZE, src);
complex float* buffer1 = md_alloc_sameplace(DIMS, sc_dims, CFL_SIZE, src);
complex float* buffer2 = md_alloc_sameplace(DIMS, sc_dims, CFL_SIZE, src);
complex float* buffer3 = md_alloc_sameplace(DIMS, dims, CFL_SIZE, src);
long pos[] = { [0 ... DIMS - 1] = 0 };
long strides_single_map[DIMS];
md_calc_strides(DIMS, strides_single_map, single_map_dims, CFL_SIZE);
long strides_sc[DIMS];
md_calc_strides(DIMS, strides_sc, sc_dims, CFL_SIZE);
long strides[DIMS];
md_calc_strides(DIMS, strides, dims, CFL_SIZE);
md_clear(DIMS, dims, dst, CFL_SIZE);
for (long k = 0; k < data->nc; k++) {
md_clear(DIMS, single_map_dims, single_map, CFL_SIZE);
md_clear(DIMS, sc_dims, buffer1, CFL_SIZE);
md_clear(DIMS, sc_dims, buffer2, CFL_SIZE);
md_clear(DIMS, dims, buffer3, CFL_SIZE);
pos[COIL_DIM] = k;
md_slice(DIMS, COIL_FLAG, pos, map_dims, single_map, data->maps, CFL_SIZE);
pos[COIL_DIM] = 0;
md_zfmac2(DIMS, dims, strides_sc, buffer1, strides, src, strides_single_map, single_map);
operator_apply(nrm, DIMS, sc_dims, buffer2, DIMS, sc_dims, buffer1);
md_zfmacc2(DIMS, dims, strides, buffer3, strides_sc, buffer2, strides_single_map, single_map);
md_zadd(DIMS, dims, dst, dst, buffer3);
}
md_free(single_map);
md_free(buffer1);
md_free(buffer2);
md_free(buffer3);
}
static void multc_free(const linop_data_t* _data)
{
const struct multc_s* data = CAST_DOWN(multc_s, _data);
xfree(data);
}
static struct linop_s* linop_multc_create(long nc, long md, const complex float* maps, const struct linop_s* sc_op)
{
PTR_ALLOC(struct multc_s, data);
SET_TYPEID(multc_s, data);
data->nc = nc;
data->md = md;
data->maps = maps;
data->sc_op = sc_op;
long* op_inp_dims = (long*) linop_domain(sc_op)->dims;
long* op_out_dims = (long*) linop_codomain(sc_op)->dims;
long input_dims[] = { [0 ... DIMS - 1] = 1 };
md_copy_dims(DIMS, input_dims, op_inp_dims);
input_dims[MAPS_DIM] = md;
long output_dims[] = { [0 ... DIMS - 1] = 1 };
md_copy_dims(DIMS, output_dims, op_out_dims);
output_dims[1] = nc;
struct linop_s* E = linop_create(DIMS, output_dims, DIMS, input_dims, CAST_UP(PTR_PASS(data)), multc_apply, multc_adjoint, multc_normal, NULL, multc_free);
return E;
}
/* Resize operator. */
static const struct linop_s* linop_wavereshape_create(long wx, long sx, long sy, long sz, long nc, long tk)
{
long input_dims[] = { [0 ... DIMS - 1] = 1};
input_dims[0] = sx;
input_dims[1] = sy;
input_dims[2] = sz;
input_dims[3] = nc;
input_dims[6] = tk;
long output_dims[DIMS];
md_copy_dims(DIMS, output_dims, input_dims);
output_dims[0] = wx;
struct linop_s* R = linop_resize_create(DIMS, output_dims, input_dims);
return R;
}
/* Fx operator. */
static const struct linop_s* linop_fx_create(long wx, long sy, long sz, long nc, long tk, bool centered)
{
long dims[] = { [0 ... DIMS - 1] = 1};
dims[0] = wx;
dims[1] = sy;
dims[2] = sz;
dims[3] = nc;
dims[6] = tk;
struct linop_s* Fx = NULL;
if (centered)
Fx = linop_fftc_create(DIMS, dims, READ_FLAG);
else
Fx = linop_fft_create(DIMS, dims, READ_FLAG);
return Fx;
}
/* Wave operator. */
static const struct linop_s* linop_wave_create(long wx, long sy, long sz, long nc, long tk, long psf_tk, complex float* psf)
{
long dims[] = { [0 ... DIMS - 1] = 1};
dims[0] = wx;
dims[1] = sy;
dims[2] = sz;
dims[3] = nc;
dims[6] = tk;
return (psf_tk > 1) ? linop_cdiag_create(DIMS, dims, FFT_FLAGS | COEFF_FLAG, psf) : linop_cdiag_create(DIMS, dims, FFT_FLAGS, psf);
}
/* Fyz operator. */
static const struct linop_s* linop_fyz_create(long wx, long sy, long sz, long nc, long tk, bool centered)
{
long dims[] = { [0 ... DIMS - 1] = 1};
dims[0] = wx;
dims[1] = sy;
dims[2] = sz;
dims[3] = nc;
dims[6] = tk;
struct linop_s* Fyz = NULL;
if (centered)
Fyz = linop_fftc_create(DIMS, dims, PHS1_FLAG|PHS2_FLAG);
else
Fyz = linop_fft_create(DIMS, dims, PHS1_FLAG|PHS2_FLAG);
return Fyz;
}
/* Construction sampling temporal kernel.*/
static void construct_kernel(
long mask_dims[DIMS], complex float* mask,
long phi_dims[DIMS], complex float* phi,
long kern_dims[DIMS], complex float* kern)
{
long sy = mask_dims[1];
long sz = mask_dims[2];
long tf = phi_dims[5];
long tk = phi_dims[6];
long cvec_dims[] = { [0 ... DIMS - 1] = 1 };
cvec_dims[6] = tk;
long cvec_str[DIMS];
md_calc_strides(DIMS, cvec_str, cvec_dims, CFL_SIZE);
complex float cvec[tk];
long tvec_dims[] = { [0 ... DIMS - 1] = 1 };
tvec_dims[5] = tf;
long tvec_str[DIMS];
md_calc_strides(DIMS, tvec_str, tvec_dims, CFL_SIZE);
complex float mvec[tf];
complex float tvec1[tf];
complex float tvec2[tf];
long phi_str[DIMS];
md_calc_strides(DIMS, phi_str, phi_dims, CFL_SIZE);
long out_dims[] = { [0 ... DIMS - 1] = 1 };
out_dims[0] = tk;
out_dims[1] = sy;
out_dims[2] = sz;
out_dims[3] = tk;
complex float* out = md_calloc(DIMS, out_dims, CFL_SIZE);
for (int y = 0; y < sy; y ++) {
for (int z = 0; z < sz; z ++) {
for (int t = 0; t < tf; t ++)
mvec[t] = mask[(y + sy * z) + (sy * sz) * t];
for (int t = 0; t < tk; t ++) {
cvec[t] = 1;
md_clear(DIMS, tvec_dims, tvec1, CFL_SIZE);
md_zfmac2(DIMS, phi_dims, tvec_str, tvec1, cvec_str, cvec, phi_str, phi);
md_clear(DIMS, tvec_dims, tvec2, CFL_SIZE);
md_zfmac2(DIMS, tvec_dims, tvec_str, tvec2, tvec_str, tvec1, tvec_str, mvec);
md_clear(DIMS, cvec_dims, out + y * tk + z * sy * tk + t * sy * sz * tk, CFL_SIZE);
md_zfmacc2(DIMS, phi_dims, cvec_str, out + y * tk + z * sy * tk + t * sy * sz * tk,
tvec_str, tvec2, phi_str, phi);
cvec[t] = 0;
}
}
}
unsigned int permute_order[DIMS] = {4, 1, 2, 5, 6, 7, 3, 0};
for (unsigned int i = 8; i < DIMS; i++)
permute_order[i] = i;
md_permute(DIMS, permute_order, kern_dims, kern, out_dims, out, CFL_SIZE);
md_free(out);
}
static void fftmod_apply(long sy, long sz,
long reorder_dims[DIMS], complex float* reorder,
long table_dims[DIMS], complex float* table,
long maps_dims[DIMS], complex float* maps)
{
long wx = table_dims[0];
long nc = table_dims[1];
fftmod(DIMS, table_dims, READ_FLAG, table, table);
fftmod(DIMS, maps_dims, FFT_FLAGS, maps, maps);
long y = -1;
long z = -1;
double dy = ((double) sy/2)/((double) sy);
double dz = ((double) sz/2)/((double) sz);
complex float py = 1;
complex float pz = 1;
long dims[] = { [0 ... DIMS] = 1};
dims[0] = wx;
dims[1] = nc;
long n = reorder_dims[0];
for (long k = 0; k < n; k++) {
y = lround(creal(reorder[k]));
z = lround(creal(reorder[k + n]));
py = cexp(2.i * M_PI * dy * y);
pz = cexp(2.i * M_PI * dz * z);
md_zsmul(DIMS, dims, table + k * wx * nc, table + k * wx * nc, py * pz);
}
}
int main_wshfl(int argc, char* argv[])
{
double start_time = timestamp();
struct opt_reg_s ropts;
opt_reg_init(&ropts);
int maxiter = 30;
int cgiter = 10;
int blksize = 8;
float rho = 1;
bool hgwld = false;
bool ksp = false;
const char* fwd = NULL;
const char* x0 = NULL;
int gpun = -1;
bool dcx = false;
const struct opt_s opts[] = {
{ 'R', true, opt_reg, &ropts, "<T>:A:B:C\tGeneralized regularization options. (-Rh for help)" },
OPT_INT( 'b', &blksize, "blkdim", "Block size for locally low rank."),
OPT_INT( 'i', &maxiter, "mxiter", "Maximum number of iterations."),
OPT_INT( 'j', &cgiter, "cgiter", "Maximum number of CG iterations in ADMM."),
OPT_FLOAT( 's', &rho, "admrho", "ADMM Rho value."),
OPT_STRING( 'F', &fwd, "frwrd", "Go from shfl-coeffs to data-table. Pass in coeffs path."),
OPT_STRING( 'O', &x0, "initl", "Initialize reconstruction with guess."),
OPT_INT( 'g', &gpun, "gpunm", "GPU device number."),
OPT_SET( 'K', &ksp, "Go from data-table to shuffling basis k-space."),
OPT_SET( 'H', &hgwld, "Use hogwild."),
OPT_SET( 'v', &dcx, "Split coefficients to real and imaginary components."),
};
cmdline(&argc, argv, 6, 6, usage_str, help_str, ARRAY_SIZE(opts), opts);
struct admm_conf admm = { false, false, false, rho, cgiter };
debug_printf(DP_INFO, "Loading data... ");
long maps_dims[DIMS];
complex float* maps = load_cfl(argv[1], DIMS, maps_dims);
long wave_dims[DIMS];
complex float* wave = load_cfl(argv[2], DIMS, wave_dims);
long phi_dims[DIMS];
complex float* phi = load_cfl(argv[3], DIMS, phi_dims);
long reorder_dims[DIMS];
complex float* reorder = load_cfl(argv[4], DIMS, reorder_dims);
long table_dims[DIMS];
complex float* table = load_cfl(argv[5], DIMS, table_dims);
debug_printf(DP_INFO, "Done.\n");
if (gpun >= 0)
num_init_gpu_device(gpun);
else
num_init();
int wx = wave_dims[0];
int sx = maps_dims[0];
int sy = maps_dims[1];
int sz = maps_dims[2];
int nc = maps_dims[3];
int md = maps_dims[4];
int tf = phi_dims[5];
int tk = phi_dims[6];
debug_printf(DP_INFO, "Constructing sampling mask from reorder table... ");
long mask_dims[] = { [0 ... DIMS - 1] = 1 };
mask_dims[1] = sy;
mask_dims[2] = sz;
mask_dims[5] = tf;
complex float* mask = md_calloc(DIMS, mask_dims, CFL_SIZE);
construct_mask(reorder_dims, reorder, mask_dims, mask);
debug_printf(DP_INFO, "Done.\n");
debug_printf(DP_INFO, "Constructing sampling-temporal kernel... ");
long kernel_dims[] = { [0 ... DIMS - 1] = 1 };
kernel_dims[1] = sy;
kernel_dims[2] = sz;
kernel_dims[6] = tk;
kernel_dims[7] = tk;
complex float* kernel = md_calloc(DIMS, kernel_dims, CFL_SIZE);
construct_kernel(mask_dims, mask, phi_dims, phi, kernel_dims, kernel);
md_free(mask);
debug_printf(DP_INFO, "Done.\n");
long coeff_dims[] = { [0 ... DIMS - 1] = 1 };
coeff_dims[0] = sx;
coeff_dims[1] = sy;
coeff_dims[2] = sz;
coeff_dims[4] = md;
coeff_dims[6] = tk;
coeff_dims[8] = dcx ? 2 : 1;
if (ksp == true) {
const struct linop_s* Knc = linop_kern_create(gpun >= 0, reorder_dims, reorder, phi_dims, phi, kernel_dims, kernel, table_dims);
long ksp_dims[] = { [0 ... DIMS - 1] = 1 };
ksp_dims[0] = wx;
ksp_dims[1] = sy;
ksp_dims[2] = sz;
ksp_dims[3] = nc;
ksp_dims[6] = tk;
complex float* res = create_cfl(argv[6], DIMS, ksp_dims);
operator_apply(Knc->adjoint, DIMS, ksp_dims, res, DIMS, table_dims, table);
linop_free(Knc);
md_free(kernel);
unmap_cfl(DIMS, maps_dims, maps);
unmap_cfl(DIMS, wave_dims, wave);
unmap_cfl(DIMS, phi_dims, phi);
unmap_cfl(DIMS, reorder_dims, reorder);
unmap_cfl(DIMS, table_dims, table);
unmap_cfl(DIMS, ksp_dims, res);
return 0;
}
debug_printf(DP_INFO, "Creating single channel linear operators:\n");
double t1;
double t2;
t1 = timestamp();
const struct linop_s* R = linop_wavereshape_create(wx, sx, sy, sz, 1, tk);
t2 = timestamp();
debug_printf(DP_INFO, "\tR: %f seconds.\n", t2 - t1);
t1 = timestamp();
const struct linop_s* Fx = linop_fx_create(wx, sy, sz, 1, tk, false);
t2 = timestamp();
debug_printf(DP_INFO, "\tFx: %f seconds.\n", t2 - t1);
t1 = timestamp();
const struct linop_s* W = linop_wave_create(wx, sy, sz, 1, tk, wave_dims[COEFF_DIM], wave);
t2 = timestamp();
debug_printf(DP_INFO, "\tW: %f seconds.\n", t2 - t1);
t1 = timestamp();
const struct linop_s* Fyz = linop_fyz_create(wx, sy, sz, 1, tk, false);
t2 = timestamp();
debug_printf(DP_INFO, "\tFyz: %f seconds.\n", t2 - t1);
t1 = timestamp();
long single_channel_table_dims[] = { [0 ... DIMS - 1] = 1 };
md_copy_dims(DIMS, single_channel_table_dims, table_dims);
single_channel_table_dims[1] = 1;
const struct linop_s* K = linop_kern_create(gpun >= 0, reorder_dims, reorder, phi_dims, phi, kernel_dims, kernel, single_channel_table_dims);
t2 = timestamp();
debug_printf(DP_INFO, "\tK: %f seconds.\n", t2 - t1);
struct linop_s* A_sc = linop_chain_FF(linop_chain_FF(linop_chain_FF(linop_chain_FF(
R, Fx), W), Fyz), K);
debug_printf(DP_INFO, "Single channel forward operator information:\n");
print_opdims(A_sc);
struct linop_s* A = linop_multc_create(nc, md, maps, A_sc);
debug_printf(DP_INFO, "Overall forward linear operator information:\n");
print_opdims(A);
if (fwd != NULL) {
debug_printf(DP_INFO, "Going from coefficients to data table... ");
complex float* coeffs_to_fwd = load_cfl(fwd, DIMS, coeff_dims);
complex float* table_forward = create_cfl(argv[6], DIMS, table_dims);
const struct linop_s* R = linop_wavereshape_create(wx, sx, sy, sz, 1, tk);
const struct linop_s* CFx = linop_fx_create( wx, sy, sz, 1, tk, true);
const struct linop_s* W = linop_wave_create(wx, sy, sz, 1, tk, wave_dims[COEFF_DIM], wave);
const struct linop_s* CFyz = linop_fyz_create(wx, sy, sz, 1, tk, true);
const struct linop_s* K = linop_kern_create(gpun >= 0, reorder_dims, reorder, phi_dims, phi, kernel_dims, kernel, single_channel_table_dims);
struct linop_s* AC_sc = linop_chain_FF(linop_chain_FF(linop_chain_FF(linop_chain_FF(
R, CFx), W), CFyz), K);
struct linop_s* AC = linop_multc_create(nc, md, maps, AC_sc);
operator_apply(AC->forward, DIMS, table_dims, table_forward, DIMS, coeff_dims, coeffs_to_fwd);
debug_printf(DP_INFO, "Done.\n");
debug_printf(DP_INFO, "Cleaning up... ");
linop_free(AC);
linop_free(AC_sc);
md_free(kernel);
unmap_cfl(DIMS, maps_dims, maps);
unmap_cfl(DIMS, wave_dims, wave);
unmap_cfl(DIMS, phi_dims, phi);
unmap_cfl(DIMS, reorder_dims, reorder);
unmap_cfl(DIMS, table_dims, table);
unmap_cfl(DIMS, table_dims, table_forward);
debug_printf(DP_INFO, "Done.\n");
return 0;
}
if (dcx) {
debug_printf(DP_INFO, "\tSplitting result into real and imaginary components.\n");
struct linop_s* tmp = A;
struct linop_s* dcxop = linop_decompose_complex_create(DIMS, ITER_DIM, linop_domain(A)->dims);
A = linop_chain(dcxop, tmp);
debug_printf(DP_INFO, "New operator information:\n");
print_opdims(A);
linop_free(dcxop);
linop_free(tmp);
}
debug_printf(DP_INFO, "Normalizing data table and applying fftmod to table and maps... ");
float norm = md_znorm(DIMS, table_dims, table);
md_zsmul(DIMS, table_dims, table, table, 1. / norm);
fftmod_apply(sy, sz, reorder_dims, reorder, table_dims, table, maps_dims, maps);
debug_printf(DP_INFO, "Done.\n");
debug_printf(DP_INFO, "Preparing reconstruction operator... ");
const struct operator_p_s* thresh_ops[NUM_REGS] = { NULL };
const struct linop_s* trafos[NUM_REGS] = { NULL };
opt_reg_configure(DIMS, coeff_dims, &ropts, thresh_ops, trafos, blksize, 1, gpun >= 0);
int nr_penalties = ropts.r;
struct reg_s* regs = ropts.regs;
enum algo_t algo = ALGO_ADMM;
struct iter it = italgo_config(algo, nr_penalties, regs, maxiter, -1, hgwld, false, admm, 1, false);
debug_printf(DP_INFO, "Done.\n");
complex float* init = NULL;
if (x0 != NULL) {
debug_printf(DP_INFO, "Loading in initial guess... ");
init = load_cfl(x0, DIMS, coeff_dims);
debug_printf(DP_INFO, "Done.\n");
}
debug_printf(DP_INFO, "Reconstruction... ");
complex float* recon = create_cfl(argv[6], DIMS, coeff_dims);
struct lsqr_conf lsqr_conf = { 0., gpun >= 0 };
double recon_start = timestamp();
const struct operator_p_s* J = lsqr2_create(&lsqr_conf, it.italgo, it.iconf, (const float*) init, A, NULL, nr_penalties, thresh_ops, trafos, NULL);
operator_p_apply(J, 1., DIMS, coeff_dims, recon, DIMS, table_dims, table);
md_zsmul(DIMS, coeff_dims, recon, recon, norm);
double recon_end = timestamp();
debug_printf(DP_INFO, "Done.\nReconstruction time: %f seconds.\n", recon_end - recon_start);
debug_printf(DP_INFO, "Cleaning up and saving result... ");
operator_p_free(J);
linop_free(A);
linop_free(A_sc);
md_free(kernel);
unmap_cfl(DIMS, maps_dims, maps);
unmap_cfl(DIMS, wave_dims, wave);
unmap_cfl(DIMS, phi_dims, phi);
unmap_cfl(DIMS, reorder_dims, reorder);
unmap_cfl(DIMS, table_dims, table);
unmap_cfl(DIMS, coeff_dims, recon);
if (x0 != NULL)
unmap_cfl(DIMS, coeff_dims, init);
debug_printf(DP_INFO, "Done.\n");
double end_time = timestamp();
debug_printf(DP_INFO, "Total time: %f seconds.\n", end_time - start_time);
return 0;
}
|
gminer.c | #include <omp.h>
#include <SDL2/SDL.h>
// #include <SDL2/SDL_net.h>
#include <stdio.h>
#include <math.h>
#include <time.h>
#include "ecc.h"
#include "base58.h"
#include "sha3.h"
SDL_Window *window;
const int width = 320;
const int height = 120;
uint minted = 0;
uint8_t rpriv[ECC_BYTES];
uint8_t rpub[ECC_BYTES + 1];
int autoclaim = 0;
double toDB(const uint64_t b)
{
return (double)(b) / 1000;
}
uint32_t fromDB(const double b)
{
return (uint32_t)(b * 1000);
}
double mfloor(double i)
{
if (i < 0)
return (int)i - 1;
else
return (int)i;
}
struct vec3
{
uint16_t x, y, z;
};
typedef struct vec3 vec3;
double gNa(const vec3 *a, const vec3 *b)
{
const double dot = ((double)(a->x) * (double)(b->x)) + ((double)(a->y) * (double)(b->y)) + (double)((a->z) * (double)(b->z));
const double m1 = sqrt((double)((a->x) * (double)(a->x)) + (double)((a->y) * (double)(a->y)) + (double)((a->z) * (double)(a->z)));
const double m2 = sqrt((double)((b->x) * (double)(b->x)) + (double)((b->y) * (double)(b->y)) + (double)((b->z) * (double)(b->z)));
if ((m1 == 0 && m2 == 0) || dot == 0)
return 1;
return dot / (m1 * m2);
}
uint64_t isSubGenesisAddress(uint8_t *a)
{
vec3 v[5];
uint8_t *ofs = a;
memcpy(&v[0].x, ofs, sizeof(uint16_t));
memcpy(&v[0].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[0].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[1].x, ofs, sizeof(uint16_t));
memcpy(&v[1].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[1].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[2].x, ofs, sizeof(uint16_t));
memcpy(&v[2].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[2].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[3].x, ofs, sizeof(uint16_t));
memcpy(&v[3].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[3].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[4].x, ofs, sizeof(uint16_t));
memcpy(&v[4].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[4].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
const double a1 = gNa(&v[0], &v[3]);
const double a2 = gNa(&v[3], &v[2]);
const double a3 = gNa(&v[2], &v[1]);
const double a4 = gNa(&v[1], &v[4]);
const double min = 0.180;
if (a1 < min && a2 < min && a3 < min && a4 < min)
{
const double at = (a1 + a2 + a3 + a4);
if (at <= 0)
return 0;
const double ra = at / 4;
const double mn = 4.166666667;
const uint64_t rv = (uint64_t)mfloor((1000 + (10000 * (1 - (ra * mn)))) + 0.5);
printf("\nsubG: %.8f - %.8f - %.8f - %.8f - %.3f VFC < %.3f\n", a1, a2, a3, a4, toDB(rv), ra);
return rv;
}
const double soft = 0.1;
if (a1 < min + soft && a2 < min + soft && a3 < min + soft && a4 < min + soft)
printf("x: %.8f - %.8f - %.8f - %.8f\n", a1, a2, a3, a4);
return 0;
}
double subDiff(uint8_t *a)
{
vec3 v[5]; //Vectors
uint8_t *ofs = a;
memcpy(&v[0].x, ofs, sizeof(uint16_t));
memcpy(&v[0].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[0].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[1].x, ofs, sizeof(uint16_t));
memcpy(&v[1].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[1].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[2].x, ofs, sizeof(uint16_t));
memcpy(&v[2].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[2].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[3].x, ofs, sizeof(uint16_t));
memcpy(&v[3].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[3].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
ofs = ofs + (sizeof(uint16_t) * 3);
memcpy(&v[4].x, ofs, sizeof(uint16_t));
memcpy(&v[4].y, ofs + sizeof(uint16_t), sizeof(uint16_t));
memcpy(&v[4].z, ofs + (sizeof(uint16_t) * 2), sizeof(uint16_t));
const double a1 = gNa(&v[0], &v[3]);
const double a2 = gNa(&v[3], &v[2]);
const double a3 = gNa(&v[2], &v[1]);
const double a4 = gNa(&v[1], &v[4]);
//printf("%.3f - %.3f - %.3f - %.3f\n", a1,a2,a3,a4);
double diff = a1;
if (a2 > diff)
diff = a2;
if (a3 > diff)
diff = a3;
if (a4 > diff)
diff = a4;
return diff;
}
void setpixel(SDL_Surface *surface, const int x, const int y, const Uint8 r, const Uint8 g, const Uint8 b)
{
if (x < 0 || x > width || y < 0 || y > height)
return;
const Uint32 color = SDL_MapRGB(surface->format, r, g, b);
Uint8 *pixel = (Uint8 *)surface->pixels;
pixel += (y * surface->pitch) + (x * sizeof(Uint32));
*((Uint32 *)pixel) = color;
}
void line(SDL_Surface *surface, int x0, int y0, int x1, int y1, const Uint8 r, const Uint8 g, const Uint8 b)
{
int dx = abs(x1 - x0), sx = x0 < x1 ? 1 : -1;
int dy = abs(y1 - y0), sy = y0 < y1 ? 1 : -1;
int err = (dx > dy ? dx : -dy) / 2, e2;
while (1)
{
setpixel(surface, x0, y0, r, g, b);
if (x0 == x1 && y0 == y1)
{
break;
}
e2 = err;
if (e2 > -dx)
{
err -= dy;
x0 += sx;
}
if (e2 < dy)
{
err += dx;
y0 += sy;
}
}
}
int ool = 0;
int lv = 0;
int lv1 = 0;
void render(SDL_Surface *surface, const uint ihs)
{
const uint hs = ihs / 700;
if (lv != 0)
{
line(surface, ool - 3, lv, ool, hs, 255, 191, 0);
line(surface, ool - 3, height - 1 - lv1, ool, height - 1 - (minted * 3), 220, 107, 229);
}
ool += 3;
lv = hs;
lv1 = minted * 3;
if (ool > width)
{
ool = 0;
SDL_FillRect(surface, NULL, SDL_MapRGB(surface->format, 0, 0, 0));
}
}
// uint64_t rand64()
// {
// return rand() ^ ((uint64_t)rand() << 15) ^ ((uint64_t)rand() << 30) ^ ((uint64_t)rand() << 45) ^ ((uint64_t)rand() << 60);
// }
// struct addr
// {
// uint8_t key[ECC_CURVE + 1];
// };
// typedef struct addr addr;
// struct sig
// {
// uint8_t key[ECC_CURVE * 2];
// };
// typedef struct sig sig;
// struct trans
// {
// uint64_t uid;
// addr from;
// addr to;
// uint32_t amount;
// sig owner;
// };
// void sendTransaction(const uint8_t *from_priv, const uint8_t *to_pub, const uint32_t amount)
// {
// //Open Socket
// UDPsocket sd;
// if (!(sd = SDLNet_UDP_Open(0)))
// {
// printf("Could not create socket\n");
// return;
// }
// //Resolve vfcash.uk
// IPaddress srvHost;
// IPaddress *ip = &srvHost;
// SDLNet_ResolveHost(ip, "vfcash.uk", 8787);
// //Generate Packet
// const size_t packet_len = 1 + sizeof(uint32_t) + sizeof(uint64_t) + ECC_CURVE + 1 + ECC_CURVE + 1 + sizeof(uint32_t) + ECC_CURVE + ECC_CURVE;
// UDPpacket *p = SDLNet_AllocPacket(packet_len);
// if (!p)
// {
// printf("Could not allocate packet\n");
// return;
// }
// //Gen Public Key
// uint8_t from_pub[ECC_BYTES + 1];
// ecc_get_pubkey(from_pub, from_priv);
// //Transaction
// struct trans t;
// memset(&t, 0, sizeof(struct trans));
// //
// memcpy(t.from.key, from_pub, ECC_CURVE + 1);
// memcpy(t.to.key, to_pub, ECC_CURVE + 1);
// t.amount = amount;
// //Sign the block
// uint8_t thash[ECC_CURVE];
// sha3_context c;
// sha3_Init256(&c);
// sha3_Update(&c, &t, sizeof(struct trans));
// sha3_Finalize(&c);
// memcpy(thash, &c.sb, ECC_CURVE);
// if (ecdsa_sign(from_priv, thash, t.owner.key) == 0)
// {
// printf("\nSorry you're client failed to sign the Transaction.\n\n");
// exit(0);
// }
// const uint origin = 0;
// const uint64_t uid = rand64();
// uint8_t *pc = p->data;
// pc[0] = 't';
// uint8_t *ofs = pc + 1;
// memcpy(ofs, &origin, sizeof(uint32_t));
// ofs += sizeof(uint32_t);
// memcpy(ofs, &t.uid, sizeof(uint64_t));
// ofs += sizeof(uint64_t);
// memcpy(ofs, t.from.key, ECC_CURVE + 1);
// ofs += ECC_CURVE + 1;
// memcpy(ofs, t.to.key, ECC_CURVE + 1);
// ofs += ECC_CURVE + 1;
// memcpy(ofs, &t.amount, sizeof(uint32_t));
// ofs += sizeof(uint32_t);
// memcpy(ofs, t.owner.key, ECC_CURVE * 2);
// //Send Packet
// p->address.host = srvHost.host;
// p->address.port = srvHost.port;
// SDLNet_UDP_Send(sd, -1, p);
// }
void mine()
{
uint8_t priv[ECC_BYTES];
uint8_t pub[ECC_BYTES + 1];
ecc_make_key(pub, priv);
uint64_t r = isSubGenesisAddress(pub);
if (r != 0)
{
char bpriv[256];
memset(bpriv, 0, sizeof(bpriv));
size_t len = 256;
b58enc(bpriv, &len, priv, ECC_BYTES);
char bpub[256];
memset(bpub, 0, sizeof(bpub));
len = 256;
b58enc(bpub, &len, pub, ECC_BYTES + 1);
char brpriv[256];
memset(brpriv, 0, sizeof(brpriv));
len = 256;
b58enc(brpriv, &len, rpriv, ECC_BYTES);
char brpub[256];
memset(brpub, 0, sizeof(brpub));
len = 256;
b58enc(brpub, &len, rpub, ECC_BYTES + 1);
const double diff = subDiff(pub);
const double fr = toDB(r);
//Try to claim
if (autoclaim == 1)
{
//sendTransaction(priv, rpub, r);
char cmd[2048];
sprintf(cmd, "wget -qO- \"https://vfcash.uk/rest.php?fromprivfast=%s&frompub=%s&topub=%s&amount=%.3f\"", bpriv, bpub, brpub, fr);
if (system(cmd) != -1)
printf("\n%s\n", cmd);
}
FILE *f = fopen("trans.txt", "a");
if (f != NULL)
{
fprintf(f, "https://vfcash.uk/rest.php?fromprivfast=%s&frompub=%s&topub=%s&amount=%.3f\n", bpriv, bpub, brpub, fr);
fclose(f);
}
//Log
printf("Private Key: %s (%.3f DIFF) (%.3f VFC)\n\n", bpriv, diff, fr);
minted++;
//Save to file
f = fopen("minted.txt", "a");
if (f != NULL)
{
fprintf(f, "%s / %.3f / %.3f\n", bpriv, diff, fr);
fclose(f);
}
}
}
int main(int argc, char *args[])
{
// enable auto claim?
if (argc == 2 && strcmp(args[1], "autoclaim") == 0)
{
autoclaim = 1;
printf("Auto claim will attempt to claim all minted.txt to the last key that has been appended to rewards.txt.\n");
}
//Init SDL
if (SDL_Init(SDL_INIT_VIDEO) < 0)
{
fprintf(stderr, "ERROR: SDL_Init(): %s\n", SDL_GetError());
return 1;
}
//Create window
window = SDL_CreateWindow("vfcminergui", SDL_WINDOWPOS_UNDEFINED, SDL_WINDOWPOS_UNDEFINED, width, height, SDL_WINDOW_SHOWN);
if (window == NULL)
{
fprintf(stderr, "ERROR: SDL_CreateWindow(): %s\n", SDL_GetError());
return 1;
}
SDL_Surface *screenSurface = SDL_GetWindowSurface(window);
//Save reward addr used today
ecc_make_key(rpub, rpriv);
FILE *f = fopen("reward.txt", "a");
if (f != NULL)
{
char bpriv[256];
memset(bpriv, 0, sizeof(bpriv));
size_t len = sizeof(bpriv);
b58enc(bpriv, &len, rpriv, ECC_CURVE);
fprintf(f, "%s\n", bpriv);
fclose(f);
}
//Run the miner !
#pragma omp parallel
while (1)
{
int tid = omp_get_thread_num();
int nthreads;
if (tid == 0)
{
nthreads = omp_get_num_threads();
printf("Number of threads: %d\n", nthreads);
}
time_t nt = time(0);
uint32_t c = 0;
while (1)
{
if (tid == 0) //UI Thread
{
SDL_Event event;
while (SDL_PollEvent(&event))
{
switch (event.type)
{
case SDL_QUIT:
{
exit(0);
}
break;
}
}
}
//Update every x seconds
if (tid == 0 && time(0) > nt)
{
const uint hs = (c * nthreads) / 3;
render(screenSurface, hs);
SDL_UpdateWindowSurface(window);
char title[256];
sprintf(title, "H/s: %u / C: %d", hs, nthreads);
SDL_SetWindowTitle(window, title);
c = 0;
minted = 0;
nt = time(0) + 3;
}
//Mine for a key
mine();
c++;
}
}
//Done.
SDL_DestroyWindow(window);
//SDLNet_Quit();
SDL_Quit();
return 0;
}
|
verlet_stream_and_noise.c |
#include "cloud.h"
#include "verlet.h"
void
verlet_step_stream_and_noise (int Np, double dt_stream, double dt_noise,
cse6230rand_t *rand,
double *restrict X[3], const double *restrict U[3])
{
if (dt_noise) {
size_t tag;
tag = cse6230rand_get_tag (rand);
#pragma omp parallel for
for (int i = 0; i < Np; i++) {
double rval[4];
cse6230rand_hash (rand, tag, i, 0, 0, rval);
for (int d = 0; d < 3; d++) {
X[d][i] += dt_stream * U[d][i] + dt_noise * (2. * rval[d] - 1.);
}
}
}
else {
#pragma omp parallel for
for (int i = 0; i < Np; i++) {
for (int d = 0; d < 3; d++) {
X[d][i] += dt_stream * U[d][i];
}
}
}
}
|
main.c | // Approximating Pi with Monte Carlo methods.
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <time.h> // time()
#include <math.h> // sqrt()
void show_help() {
printf("Monte Carlo Approximation of Pi.\n");
printf("Usage:\n");
printf(" ./montecarlo NUM_TRIALS [SEED]\n");
}
int main(int argc, char *argv[]) {
int i, num_trials, count, seed;
double x, y, z, pi;
struct drand48_data buffer;
if (argc < 2) {
show_help();
exit(1);
}
num_trials = atoi(argv[1]);
if (argc < 3) {
seed = time(NULL);
} else {
seed = atoi(argv[2]);
}
count = 0;
// Initialize RNG.
srand48_r(seed, &buffer);
#pragma omp parallel for
for (i = 0; i < num_trials; i++) {
// Pick a random point in the unit square.
drand48_r(&buffer, &x);
drand48_r(&buffer, &y);
// Compute the distance from the origin.
z = sqrt((x * x) + (y * y));
// If we're inside the unit circle, increment the counter.
if(z <= 1) {
#pragma omp critical
count += 1;
}
}
pi = ((double)count) / num_trials * 4;
printf("Approximated value of Pi = %g (%d trials)\n", pi, num_trials);
return 0;
}
|
hoImageRegDissimilarityHistogramBased.h | /** \file hoImageRegDissimilarityHistogramBased.h
\brief Define the class to compute image dissimilarity based on histogram
\author Hui Xue
*/
#ifndef hoImageRegDissimilarityHistogramBased_H_
#define hoImageRegDissimilarityHistogramBased_H_
#pragma once
#include <limits>
#include "hoMatrix.h"
#include "hoImageRegDissimilarity.h"
namespace Gadgetron {
template<typename ImageType>
class hoImageRegDissimilarityHistogramBased : public hoImageRegDissimilarity<ImageType>
{
public:
typedef hoImageRegDissimilarityHistogramBased<ImageType> Self;
typedef hoImageRegDissimilarity<ImageType> BaseClass;
enum { D = ImageType::NDIM };
typedef typename BaseClass::InterpolatorType InterpolatorType;
typedef typename BaseClass::ValueType ValueType;
typedef ValueType T;
typedef ValueType element_type;
typedef ValueType value_type;
typedef typename BaseClass::coord_type coord_type;
typedef double hist_value_type;
hoImageRegDissimilarityHistogramBased(unsigned int num_bin_target=64, unsigned int num_bin_warpped=64, ValueType bg_value=ValueType(0));
virtual ~hoImageRegDissimilarityHistogramBased();
virtual ValueType evaluate(ImageType& w);
virtual bool evaluateDeriv(ImageType& w) = 0;
virtual void print(std::ostream& os) const;
/// number of intensity bins
unsigned int num_bin_target_;
unsigned int num_bin_warpped_;
/// whether to perform partial interpolation for histogram
bool pv_interpolation_;
/// step size to ignore pixels when creating histogram
size_t step_size_ignore_pixel_;
using BaseClass::gt_timer1_;
using BaseClass::gt_timer2_;
using BaseClass::gt_timer3_;
using BaseClass::performTiming_;
using BaseClass::gt_exporter_;
using BaseClass::debugFolder_;
protected:
using BaseClass::target_;
using BaseClass::warpped_;
using BaseClass::deriv_;
using BaseClass::bg_value_;
using BaseClass::dissimilarity_;
using BaseClass::target;
using BaseClass::warped;
using BaseClass::deriv;
using BaseClass::image_dim_;
/// store the 2D histogram
hoMatrix<hist_value_type> hist_;
/// min/max intensities of target and warped
ValueType min_target_;
ValueType max_target_;
ValueType min_warpped_;
ValueType max_warpped_;
size_t num_samples_in_hist_;
};
template<typename ImageType>
hoImageRegDissimilarityHistogramBased<ImageType>::
hoImageRegDissimilarityHistogramBased(unsigned int num_bin_target, unsigned int num_bin_warpped, ValueType bg_value)
: BaseClass(bg_value), num_bin_target_(num_bin_target), num_bin_warpped_(num_bin_warpped), pv_interpolation_(false), step_size_ignore_pixel_(1)
{
}
template<typename ImageType>
hoImageRegDissimilarityHistogramBased<ImageType>::~hoImageRegDissimilarityHistogramBased()
{
}
template<typename ImageType>
typename hoImageRegDissimilarityHistogramBased<ImageType>::ValueType hoImageRegDissimilarityHistogramBased<ImageType>::evaluate(ImageType& w)
{
try
{
BaseClass::evaluate(w);
// allocate histogram
hist_.createMatrix(num_bin_target_, num_bin_warpped_);
Gadgetron::clear(hist_);
// intensity range
min_target_ = std::numeric_limits<ValueType>::max();
max_target_ = std::numeric_limits<ValueType>::min();
min_warpped_ = min_target_;
max_warpped_ = max_target_;
size_t N = target_->get_number_of_elements();
long long n;
for ( n=0; n<(long long)N; n++ )
{
ValueType vt = target(n);
if ( vt < min_target_ ) min_target_ = vt;
if ( vt > max_target_ ) max_target_ = vt;
ValueType vw = warped(n);
if ( vw < min_warpped_ ) min_warpped_ = vw;
if ( vw > max_warpped_ ) max_warpped_ = vw;
}
ValueType range_t = ValueType(1.0)/(max_target_ - min_target_ + std::numeric_limits<ValueType>::epsilon());
ValueType range_w = ValueType(1.0)/(max_warpped_ - min_warpped_ + std::numeric_limits<ValueType>::epsilon());
num_samples_in_hist_ = 0;
if ( pv_interpolation_ )
{
#pragma omp parallel for default(none) private(n) shared(N, range_t, range_w)
for ( n=0; n<(long long)N; n+=(long long)step_size_ignore_pixel_ )
{
ValueType vt = target(n);
ValueType vw = warped(n);
if ( std::abs(vt-bg_value_)<FLT_EPSILON
&& std::abs(vw-bg_value_)<FLT_EPSILON )
{
continue;
}
ValueType xT = range_t*(vt-min_target_)*(num_bin_target_-1);
ValueType xW = range_w*(vw-min_warpped_)*(num_bin_warpped_-1);
size_t indT = static_cast<size_t>(xT);
size_t indW = static_cast<size_t>(xW);
ValueType sT, s1T, sW, s1W;
sT = xT - indT; s1T = 1 - sT;
sW = xW - indW; s1W = 1 - sW;
#pragma omp critical
{
hist_(indT, indW) += s1T*s1W;
if ( indT<num_bin_target_-1 && indW<num_bin_warpped_-1 )
{
hist_(indT, indW+1) += s1T*sW;
hist_(indT+1, indW) += sT*s1W;
hist_(indT+1, indW+1) += sT*sW;
}
}
#pragma omp atomic
num_samples_in_hist_++;
}
}
else
{
#pragma omp parallel for default(none) private(n) shared(N, range_t, range_w)
for ( n=0; n<(long long)N; n+=(long long)step_size_ignore_pixel_ )
{
ValueType vt = target(n);
ValueType vw = warped(n);
if ( std::abs(vt-bg_value_)<FLT_EPSILON
&& std::abs(vw-bg_value_)<FLT_EPSILON )
{
continue;
}
size_t indT = static_cast<size_t>( range_t*(vt-min_target_)*(num_bin_target_-1) + 0.5 );
size_t indW = static_cast<size_t>( range_w*(vw-min_warpped_)*(num_bin_warpped_-1) + 0.5 );
#pragma omp critical
{
hist_(indT, indW)++;
}
#pragma omp atomic
num_samples_in_hist_++;
}
}
if ( !debugFolder_.empty() ) { gt_exporter_.export_array(hist_, debugFolder_+"hist2D"); }
}
catch(...)
{
GERROR_STREAM("Errors happened in hoImageRegDissimilarityHistogramBased<ImageType>::evaluate(ImageType& t, ImageType& w) ... ");
}
return this->dissimilarity_;
}
template<typename ImageType>
void hoImageRegDissimilarityHistogramBased<ImageType>::print(std::ostream& os) const
{
using namespace std;
os << "--------------Gagdgetron image dissimilarity with histogram -------------" << endl;
os << "Image dimension is : " << D << endl;
std::string elemTypeName = std::string(typeid(ValueType).name());
os << "Transformation data type is : " << elemTypeName << std::endl;
os << "Number of intensity bins for target is : " << num_bin_target_ << endl;
os << "Number of intensity bins for warped is : " << num_bin_warpped_ << endl;
os << "PV interpolation for histogram is : " << pv_interpolation_ << endl;
os << "Step size to ignore pixels when creating histogram is : " << step_size_ignore_pixel_ << endl << ends;
}
}
#endif // hoImageRegDissimilarityHistogramBased_H_
|
init_a.c | #define N 1000
#include <stdio.h>
void init_array(int a[N][N]) {
/* The OpenMP part is understood by smecc/Par4All to generate 2D OpenCL
workitems */
#pragma omp parallel for
for (int i = 0; i < N; i++)
#pragma omp parallel for
for (int j = 0; j < N; j++)
a[i][j] = 2*i + 3*j;
}
int main() {
int a[N][N];
#pragma smecy map(OpenCL) arg(a, out)
init_array(a);
printf("a[27][42] = %d\n", a[27][42]);
return 0;
}
|
GB_unaryop__lnot_int64_bool.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_int64_bool
// op(A') function: GB_tran__lnot_int64_bool
// C type: int64_t
// A type: bool
// cast: int64_t cij = (int64_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
bool
#define GB_CTYPE \
int64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, x) \
int64_t z = (int64_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_INT64 || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_int64_bool
(
int64_t *restrict Cx,
const bool *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_int64_bool
(
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
|
convolution_3x3.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include <time.h>
#include <stdio.h>
static void conv3x3s1_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias)
{
time_t st, ed;
st = time(NULL);
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 float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
out.fill(bias0);
for (int q=0; q<inch; q++)
{
float* outptr = out;
float* outptr2 = outptr + outw;
const float* img0 = bottom_blob.channel(q);
const float* kernel0 = kernel + p*inch*9 + q*9;
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* r3 = img0 + w*3;
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
int i = 0;
for (; i+1 < outh; i+=2)
{
int remain = outw;
for (; remain>0; remain--)
{
float sum = 0;
float sum2 = 0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum2 += r1[0] * k0[0];
sum2 += r1[1] * k0[1];
sum2 += r1[2] * k0[2];
sum2 += r2[0] * k1[0];
sum2 += r2[1] * k1[1];
sum2 += r2[2] * k1[2];
sum2 += r3[0] * k2[0];
sum2 += r3[1] * k2[1];
sum2 += r3[2] * k2[2];
*outptr += sum;
*outptr2 += sum2;
r0++;
r1++;
r2++;
r3++;
outptr++;
outptr2++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr += outw;
outptr2 += outw;
}
for (; i < outh; i++)
{
int remain = outw;
for (; remain>0; remain--)
{
float sum = 0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
*outptr += sum;
r0++;
r1++;
r2++;
outptr++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
}
}
ed = time(NULL);
printf("conv3x3s1: %ld\n", ed-st);
}
|
testing_dsyrk.c | /**
*
* @file testing_dsyrk.c
*
* PLASMA testing routines
* PLASMA is a software package provided by Univ. of Tennessee,
* Univ. of California Berkeley and Univ. of Colorado Denver
*
* @version 2.6.0
* @author Mathieu Faverge
* @date 2010-11-15
* @generated d Tue Jan 7 11:45:18 2014
*
**/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <plasma.h>
#include <cblas.h>
#include <lapacke.h>
#include <core_blas.h>
#include "testing_dmain.h"
static int check_solution(PLASMA_enum uplo, PLASMA_enum trans, int N, int K,
double alpha, double *A, int LDA,
double beta, double *Cref, double *Cplasma, int LDC);
int testing_dsyrk(int argc, char **argv)
{
/* Check for number of arguments*/
if ( argc != 6){
USAGE("SYRK", "alpha beta M N LDA LDC",
" - alpha : alpha coefficient\n"
" - beta : beta coefficient\n"
" - N : number of columns and rows of matrix C and number of row of matrix A\n"
" - K : number of columns of matrix A\n"
" - LDA : leading dimension of matrix A\n"
" - LDC : leading dimension of matrix C\n");
return -1;
}
double alpha = (double) atol(argv[0]);
double beta = (double) atol(argv[1]);
int N = atoi(argv[2]);
int K = atoi(argv[3]);
int LDA = atoi(argv[4]);
int LDC = atoi(argv[5]);
int NKmax = max(N, K);
double eps;
int info_solution;
int u, t;
size_t LDAxK = LDA*NKmax;
size_t LDCxN = LDC*N;
double *A = (double *)malloc(LDAxK*sizeof(double));
#pragma omp register([LDAxK]A)
double *C = (double *)malloc(LDCxN*sizeof(double));
#pragma omp register([LDCxN]C)
double *Cinit = (double *)malloc(LDCxN*sizeof(double));
#pragma omp register([LDCxN]Cinit)
double *Cfinal = (double *)malloc(LDCxN*sizeof(double));
#pragma omp register([LDCxN]Cfinal)
/* Check if unable to allocate memory */
if ( (!A) || (!Cinit) || (!Cfinal) ){
printf("Out of Memory \n ");
return -2;
}
eps = LAPACKE_dlamch_work('e');
printf("\n");
printf("------ TESTS FOR PLASMA DSYRK ROUTINE ------- \n");
printf(" Size of the Matrix A %d by %d\n", N, K);
printf("\n");
printf(" The matrix A is randomly generated for each test.\n");
printf("============\n");
printf(" The relative machine precision (eps) is to be %e \n",eps);
printf(" Computational tests pass if scaled residuals are less than 10.\n");
/*----------------------------------------------------------
* TESTING DSYRK
*/
/* Initialize A */
LAPACKE_dlarnv_work(IONE, ISEED, LDAxK, A);
/* Initialize C */
PLASMA_dplgsy( (double)0., N, C, LDC, 51 );
for (u=0; u<2; u++) {
for (t=0; t<2; t++) {
memcpy(Cinit, C, LDCxN*sizeof(double));
memcpy(Cfinal, C, LDCxN*sizeof(double));
/* PLASMA DSYRK */
PLASMA_dsyrk(uplo[u], trans[t], N, K, alpha, A, LDA, beta, Cfinal, LDC);
/* Check the solution */
info_solution = check_solution(uplo[u], trans[t], N, K,
alpha, A, LDA, beta, Cinit, Cfinal, LDC);
if (info_solution == 0) {
printf("***************************************************\n");
printf(" ---- TESTING DSYRK (%5s, %s) ........... PASSED !\n", uplostr[u], transstr[t]);
printf("***************************************************\n");
}
else {
printf("************************************************\n");
printf(" - TESTING DSYRK (%5s, %s) ... FAILED !\n", uplostr[u], transstr[t]);
printf("************************************************\n");
}
}
}
free(A); free(C);
free(Cinit); free(Cfinal);
return 0;
}
/*--------------------------------------------------------------
* Check the solution
*/
static int check_solution(PLASMA_enum uplo, PLASMA_enum trans, int N, int K,
double alpha, double *A, int LDA,
double beta, double *Cref, double *Cplasma, int LDC)
{
int info_solution;
double Anorm, Cinitnorm, Cplasmanorm, Clapacknorm, Rnorm;
double eps;
double beta_const;
double result;
double *work = (double *)malloc(max(N, K)* sizeof(double));
beta_const = -1.0;
Anorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm),
(trans == PlasmaNoTrans) ? N : K,
(trans == PlasmaNoTrans) ? K : N, A, LDA, work);
Cinitnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, N, Cref, LDC, work);
Cplasmanorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, N, Cplasma, LDC, work);
cblas_dsyrk(CblasColMajor, (CBLAS_UPLO)uplo, (CBLAS_TRANSPOSE)trans,
N, K, (alpha), A, LDA, (beta), Cref, LDC);
Clapacknorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, N, Cref, LDC, work);
cblas_daxpy(LDC*N, (beta_const), Cplasma, 1, Cref, 1);
Rnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, N, Cref, LDC, work);
eps = LAPACKE_dlamch_work('e');
printf("Rnorm %e, Anorm %e, Cinitnorm %e, Cplasmanorm %e, Clapacknorm %e\n",
Rnorm, Anorm, Cinitnorm, Cplasmanorm, Clapacknorm);
result = Rnorm / ((Anorm + Cinitnorm) * N * eps);
printf("============\n");
printf("Checking the norm of the difference against reference DSYRK \n");
printf("-- ||Cplasma - Clapack||_oo/((||A||_oo+||C||_oo).N.eps) = %e \n", result);
if ( isinf(Clapacknorm) || isinf(Cplasmanorm) || isnan(result) || isinf(result) || (result > 10.0) ) {
printf("-- The solution is suspicious ! \n");
info_solution = 1;
}
else {
printf("-- The solution is CORRECT ! \n");
info_solution= 0 ;
}
free(work);
return info_solution;
}
int timing_dsyrk(int argc, char **argv)
{
/* Check for number of arguments*/
if ( argc != 8){
USAGE("SYRK", "alpha beta N K LDA LDC bs rep",
" - alpha : alpha coefficient\n"
" - beta : beta coefficient\n"
" - N : number of columns and rows of matrix C and number of row of matrix A\n"
" - K : number of columns of matrix A\n"
" - LDA : leading dimension of matrix A\n"
" - LDC : leading dimension of matrix C\n");
return -1;
}
double alpha = (double) atol(argv[0]);
double beta = (double) atol(argv[1]);
int N = atoi(argv[2]);
int K = atoi(argv[3]);
int LDA = atoi(argv[4]);
int LDC = atoi(argv[5]);
int bs = atoi(argv[6]);
int rep = atoi(argv[7]);
int NKmax = max(N, K);
size_t LDAxK = LDA*NKmax;
size_t LDCxN = LDC*N;
double *A = (double *)malloc(LDAxK*sizeof(double));
double *C = (double *)malloc(LDCxN*sizeof(double));
double start, end;
double elapsed;
int num_threads;
/* Check if unable to allocate memory */
if ( (!A) || (!C) ){
printf("Out of Memory \n ");
return -2;
}
LAPACKE_dlarnv_work(IONE, ISEED, LDAxK, A);
LAPACKE_dlarnv_work(IONE, ISEED, LDCxN, C);
// PLASMA_dplgsy( (double)0., N, C, LDC, 51 );
PLASMA_Set(PLASMA_TILE_SIZE, bs);
int i;
for ( i = 0; i < rep; ++i ) {
start = gtime();
PLASMA_dsyrk(PlasmaUpper, PlasmaNoTrans, N, K, alpha, A, LDA, beta, C, LDC);
end = gtime();
elapsed += end - start;
}
num_threads = omp_get_max_threads();
dump_info("plasma_dsyrk.log", num_threads, elapsed, rep);
free(A); free(C);
return 0;
}
|
DemBones.h | ///////////////////////////////////////////////////////////////////////////////
// Dem Bones - Skinning Decomposition Library //
// Copyright (c) 2019, Electronic Arts. All rights reserved. //
///////////////////////////////////////////////////////////////////////////////
#ifndef DEM_BONES_DEM_BONES
#define DEM_BONES_DEM_BONES
#include "ConvexLS.h"
#include <Eigen/Dense>
#include <Eigen/Sparse>
#include <Eigen/StdVector>
#include <algorithm>
#include <queue>
#include <set>
#ifndef DEM_BONES_MAT_BLOCKS
#include "MatBlocks.h"
#define DEM_BONES_DEM_BONES_MAT_BLOCKS_UNDEFINED
#endif
namespace Dem {
/** @mainpage Overview
Main elements:
- @ref DemBones : base class with the core solver using relative bone
transformations DemBones::bone_transform_mat
- @ref DemBonesExt : extended class to handle hierarchical skeleton with
local rotations/translations and bind matrices
- DemBones/MatBlocks.h: macros to access sub-blocks of packing
transformation/position matrices for convenience
Include DemBones/DemBonesExt.h (or DemBones/DemBones.h) with optional
DemBones/MatBlocks.h then follow these steps to use the library:
-# Load required data in the base class:
- Rest shapes: DemBones::rest_pose_geometry, DemBones::fv, DemBones::num_vertices
- Sequence: DemBones::vertex, DemBones::num_total_frames, DemBones::frame_start_index,
DemBones::frame_subject_id, DemBones::num_subjects
- Number of bones DemBones::num_bones
-# Load optional data in the base class:
- Skinning weights DemBones::skinning_weights and weights soft-lock
DemBones::lock_weight
- Bone transformations DemBones::bone_transform_mat and bones hard-lock
DemBones::lock_mat
-# [@c optional] Set parameters in the base class:
- DemBones::nIters
- DemBones::nInitIters
- DemBones::nTransIters, DemBones::transAffine,
DemBones::transAffineNorm
- DemBones::nWeightsIters, DemBones::nnz,
DemBones::weightsSmooth, DemBones::weightsSmoothStep, DemBones::weightEps
-# [@c optional] Setup extended class:
- Load data: DemBonesExt::parent, DemBonesExt::preMulInv,
DemBonesExt::rotOrder, DemBonesExt::orient, DemBonesExt::bind
- Set parameter DemBonesExt::bindUpdate
-# [@c optional] Override callback functions (cb...) in the base class
@ref DemBones
-# Call decomposition function DemBones::compute(),
DemBones::computeWeights(), DemBones::computeTranformations(), or
DemBones::init()
-# [@c optional] Get local transformations/bind poses with
DemBonesExt::computeRTB()
*/
/** @class DemBones DemBones.h "DemBones/DemBones.h"
@brief Smooth skinning decomposition with rigid bones and sparse, convex
weights
@details Setup the required data, parameters, and call either compute(),
computeWeights(), computeTranformations(), or init().
Callback functions and read-only values can be used to report progress
and stop on convergence: cbInitSplitBegin(), cbInitSplitEnd(), cbIterBegin(),
cbIterEnd(), cbWeightsBegin(), cbWeightsEnd(), cbTranformationsBegin(),
cbTransformationsEnd(), cbTransformationsIterBegin(),
cbTransformationsIterEnd(), cbWeightsIterBegin(), cbWeightsIterEnd(),
rmse(), #iter, #iterTransformations, #iterWeights.
@b _Scalar is the floating-point data type. @b _AniMeshScalar is the
floating-point data type of mesh sequence #vertex.
*/
template <class _Scalar, class _AniMeshScalar>
class DemBones {
public:
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
using MatrixX = Eigen::Matrix<_Scalar, Eigen::Dynamic, Eigen::Dynamic>;
using Matrix4 = Eigen::Matrix<_Scalar, 4, 4>;
using Matrix3 = Eigen::Matrix<_Scalar, 3, 3>;
using VectorX = Eigen::Matrix<_Scalar, Eigen::Dynamic, 1>;
using Vector4 = Eigen::Matrix<_Scalar, 4, 1>;
using Vector3 = Eigen::Matrix<_Scalar, 3, 1>;
using SparseMatrix = Eigen::SparseMatrix<_Scalar>;
using Triplet = Eigen::Triplet<_Scalar>;
//! [@c parameter] Number of global iterations
int nIters = 30;
//! [@c parameter] Number of clustering update iterations in the initalization
int nInitIters = 10;
//! [@c parameter] Number of bone transformations update iterations per global
//! iteration
int nTransIters = 5;
//! [@c parameter] Translations affinity soft constraint
_Scalar transAffine = _Scalar(10);
//! [@c parameter] p-norm for bone translations affinity soft constraint
_Scalar transAffineNorm = _Scalar(4);
//! [@c parameter] Number of weights update iterations per global iteratio
int nWeightsIters = 3;
//! [@c parameter] Number of non-zero weights per vertex, @c default = 8
int nnz = 8;
//! [@c parameter] Weights sparseness soft constraint, @c default = 1e-5
_Scalar weightsSparseness = _Scalar(1e-5);
//! [@c parameter] Weights smoothness soft constraint, @c default = 1e-4
_Scalar weightsSmooth = _Scalar(1e-4);
//! [@c parameter] Step size for the weights smoothness soft constraint, @c
//! default = 1.0
_Scalar weightsSmoothStep = _Scalar(1);
//! [@c parameter] Epsilon for weights solver, @c default = 1e-15
_Scalar weightEps = _Scalar(1e-15);
/** @brief Constructor and setting default parameters
*/
DemBones() { clear(); }
//! Number of vertices, typically indexed by @p i
int num_vertices;
//! Number of bones, typically indexed by @p j
int num_bones;
//! Number of subjects, typically indexed by @p s
int num_subjects;
//! Number of total frames, typically indexed by @p k, #num_total_frames = #frame_start_index(#num_subjects)
int num_total_frames;
//! Start frame indices, @c size = #num_subjects+1, #frame_start_index(@p s), #frame_start_index(@p s+1) are
//! data frames for subject @p s
Eigen::VectorXi frame_start_index;
//! Subject index of the frame, @c size = #num_total_frames, #frame_subject_id(@p k)=@p s, where
//! #frame_start_index(@p s) <= @p k < #frame_start_index(<tt>s</tt>+1)
Eigen::VectorXi frame_subject_id;
//! Geometry at the rest poses, @c size = [3*#num_subjects, #num_vertices], #rest_pose_geometry.@a col(@p i).@a
//! segment(3*@p s, 3) is the rest pose of vertex @p i of subject @p s
MatrixX rest_pose_geometry;
//! Skinning weights, @c size = [#num_bones, #num_vertices], #skinning_weights.@a col(@p i) are the skinning
//! weights of vertex @p i, #skinning_weights(@p j, @p i) is the influence of bone @p j to
//! vertex @p i
SparseMatrix skinning_weights;
//! Skinning weights lock control, @c size = #num_vertices, #lock_weight(@p i) is the amount
//! of input skinning weights will be kept for vertex @p i, where 0 (no lock)
//! <= #lock_weight(@p i) <= 1 (full lock)
VectorX lock_weight;
/** @brief Bone transformations, @c size = [4*#num_total_frames*4, 4*#num_bones], #bone_transform_mat.@a blk4(@p k,
@p j) is the 4*4 relative transformation matrix of bone @p j at frame @p k
@details Note that the transformations are relative, that is #bone_transform_mat.@a
blk4(@p k, @p j) brings the global transformation of bone @p j from the
rest pose to the pose at frame @p k.
*/
MatrixX bone_transform_mat;
//! Bone transformation lock control, @c size = #num_bones, #lock_mat(@p j) is the
//! amount of input transformations will be kept for bone @p j, where
//! #lock_mat(@p j) = 0 (no lock) or 1 (lock)
Eigen::VectorXi lock_mat;
//! Animated mesh sequence, @c size = [3*#num_total_frames, #num_vertices], #vertex.@a col(@p i).@a
//! segment(3*@p k, 3) is the position of vertex @p i at frame @p k
Eigen::Matrix<_AniMeshScalar, Eigen::Dynamic, Eigen::Dynamic> vertex;
//! Mesh topology, @c size=[<tt>number of polygons</tt>], #fv[@p p] is the
//! vector of vertex indices of polygon @p p
std::vector<std::vector<int>> fv;
/** @brief Clear all data
*/
void clear() {
num_vertices = num_bones = num_subjects = num_total_frames = 0;
frame_start_index.resize(0);
frame_subject_id.resize(0);
rest_pose_geometry.resize(0, 0);
skinning_weights.resize(0, 0);
lock_weight.resize(0);
bone_transform_mat.resize(0, 0);
lock_mat.resize(0);
vertex.resize(0, 0);
fv.resize(0);
modelSize = -1;
laplacian.resize(0, 0);
}
/** @brief Initialize missing skinning weights and/or bone transformations
@details Depending on the status of #skinning_weights and #bone_transform_mat, this function will:
- Both #skinning_weights and #bone_transform_mat are already set: do nothing
- Only one in #skinning_weights or #bone_transform_mat is missing (zero size): initialize
missing matrix, i.e. #skinning_weights (or #bone_transform_mat)
- Both #skinning_weights and #bone_transform_mat are missing (zero size): initialize both with
rigid skinning using approximately #num_bones bones, i.e. values of #skinning_weights are 0 or 1.
LBG-VQ clustering is peformed using mesh sequence #vertex, rest
pose geometries #rest_pose_geometry and topology #fv.
@b Note: as the initialization does not use exactly #num_bones bones,
the value of #num_bones could be changed when both #skinning_weights and #bone_transform_mat are missing.
This function is called at the begining of every compute update
functions as a safeguard.
*/
void init() {
if (modelSize < 0)
modelSize =
sqrt((rest_pose_geometry - (rest_pose_geometry.rowwise().sum() / num_vertices).replicate(1, num_vertices)).squaredNorm() /
num_vertices / num_subjects);
if (laplacian.cols() != num_vertices)
computeSmoothSolver();
if (((int)skinning_weights.rows() != num_bones) || ((int)skinning_weights.cols() != num_vertices)) { // No skinning weight
if (((int)bone_transform_mat.rows() != num_total_frames * 4) ||
((int)bone_transform_mat.cols() != num_bones * 4)) { // No transformation
int targetNB = num_bones;
// LBG-VQ
num_bones = 1;
label = Eigen::VectorXi::Zero(num_vertices);
computeTransFromLabel();
bool cont = true;
while (cont) {
cbInitSplitBegin();
int prev = num_bones;
split(targetNB, 3);
for (int rep = 0; rep < nInitIters; rep++) {
computeTransFromLabel();
computeLabel();
pruneBones(3);
}
cont = (num_bones < targetNB) && (num_bones > prev);
cbInitSplitEnd();
}
lock_mat = Eigen::VectorXi::Zero(num_bones);
labelToWeights();
} else
initWeights(); // Has transformations
} else { // Has skinning weights
if (((int)bone_transform_mat.rows() != num_total_frames * 4) ||
((int)bone_transform_mat.cols() != num_bones * 4)) { // No transformation
bone_transform_mat = Matrix4::Identity().replicate(num_total_frames, num_bones);
lock_mat = Eigen::VectorXi::Zero(num_bones);
}
}
if (lock_weight.size() != num_vertices)
lock_weight = VectorX::Zero(num_vertices);
if (lock_mat.size() != num_bones)
lock_mat = Eigen::VectorXi::Zero(num_bones);
}
/** @brief Update bone transformations by running #nTransIters iterations with
#transAffine and #transAffineNorm regularizers
@details Required input data:
- Rest shapes: #rest_pose_geometry, #fv, #num_vertices
- Sequence: #vertex, #num_total_frames, #frame_start_index, #frame_subject_id, #num_subjects
- Number of bones: #num_bones
Optional input data:
- Skinning weights: #skinning_weights, #lock_weight
- Bone transformations: #bone_transform_mat, #lock_mat
Output: #bone_transform_mat. Missing #skinning_weights and/or #bone_transform_mat (with zero size) will be initialized
by init().
*/
void computeTranformations() {
if (nTransIters == 0)
return;
init();
cbTranformationsBegin();
compute_vuT();
compute_uuT();
for (_iterTransformations = 0; _iterTransformations < nTransIters;
_iterTransformations++) {
cbTransformationsIterBegin();
// #pragma omp parallel for
for (int k = 0; k < num_total_frames; k++)
for (int j = 0; j < num_bones; j++)
if (lock_mat(j) == 0) {
Matrix4 qpT = vuT.blk4(k, j);
for (int it = uuT.outerIdx(j); it < uuT.outerIdx(j + 1); it++)
if (uuT.innerIdx(it) != j)
qpT -= bone_transform_mat.blk4(k, uuT.innerIdx(it)) *
uuT.val.blk4(frame_subject_id(k), it);
qpT2m(qpT, k, j);
}
if (cbTransformationsIterEnd())
return;
}
cbTransformationsEnd();
}
/** @brief Update skinning weights by running #nWeightsIters iterations with
#weightsSmooth and #weightsSmoothStep regularizers
@details Required input data:
- Rest shapes: #rest_pose_geometry, #fv, #num_vertices
- Sequence: #vertex, #num_total_frames, #frame_start_index, #frame_subject_id, #num_subjects
- Number of bones: #num_bones
Optional input data:
- Skinning weights: #skinning_weights, #lock_weight
- Bone transformations: #bone_transform_mat, #lock_mat
Output: #skinning_weights. Missing #skinning_weights and/or #bone_transform_mat (with zero size) will be initialized
by init().
*/
void computeWeights() {
if (nWeightsIters == 0)
return;
init();
cbWeightsBegin();
compute_mTm();
aTb = MatrixX::Zero(num_bones, num_vertices);
wSolver.init(nnz);
std::vector<Triplet, Eigen::aligned_allocator<Triplet>> trip;
trip.reserve(num_vertices * nnz);
for (_iterWeights = 0; _iterWeights < nWeightsIters; _iterWeights++) {
cbWeightsIterBegin();
compute_ws();
compute_aTb();
double reg_scale = pow(modelSize, 2) * num_total_frames;
trip.clear();
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
MatrixX aTai;
compute_aTa(i, aTai);
aTai = (1 - lock_weight(i)) *
(aTai / reg_scale + (weightsSmooth - weightsSparseness) *
MatrixX::Identity(num_bones, num_bones)) +
lock_weight(i) * MatrixX::Identity(num_bones, num_bones);
VectorX aTbi = (1 - lock_weight(i)) * (aTb.col(i) / reg_scale +
weightsSmooth * ws.col(i)) +
lock_weight(i) * skinning_weights.col(i);
VectorX x = (1 - lock_weight(i)) * ws.col(i) + lock_weight(i) * skinning_weights.col(i);
Eigen::ArrayXi idx = Eigen::ArrayXi::LinSpaced(num_bones, 0, num_bones - 1);
std::sort(idx.data(), idx.data() + num_bones,
[&x](int i1, int i2) { return x(i1) > x(i2); });
int nnzi = std::min(nnz, num_bones);
while (x(idx(nnzi - 1)) < weightEps)
nnzi--;
VectorX x0 = skinning_weights.col(i).toDense().cwiseMax(0.0);
x = indexing_vector(x0, idx.head(nnzi));
_Scalar s = x.sum();
if (s > _Scalar(0.1))
x /= s;
else
x = VectorX::Constant(nnzi, _Scalar(1) / nnzi);
wSolver.solve(indexing_row_col(aTai, idx.head(nnzi), idx.head(nnzi)),
indexing_vector(aTbi, idx.head(nnzi)), x, true, true);
// #pragma omp critical
for (int j = 0; j < nnzi; j++)
if (x(j) != 0)
trip.push_back(Triplet(idx[j], i, x(j)));
}
skinning_weights.resize(num_bones, num_vertices);
skinning_weights.setFromTriplets(trip.begin(), trip.end());
if (cbWeightsIterEnd())
return;
}
cbWeightsEnd();
}
/** @brief Skinning decomposition by #nIters iterations of alternative
updating weights and bone transformations
@details Required input data:
- Rest shapes: #rest_pose_geometry, #fv, #num_vertices
- Sequence: #vertex, #num_total_frames, #frame_start_index, #frame_subject_id, #num_subjects
- Number of bones: #num_bones
Optional input data:
- Skinning weights: #skinning_weights
- Bone transformations: #bone_transform_mat
Output: #skinning_weights, #bone_transform_mat. Missing #skinning_weights and/or #bone_transform_mat (with zero size) will be
initialized by init().
*/
void compute() {
init();
for (_iter = 0; _iter < nIters; _iter++) {
cbIterBegin();
computeTranformations();
computeWeights();
if (cbIterEnd())
break;
}
}
//! @return Root mean squared reconstruction error
_Scalar rmse() {
_Scalar e = 0;
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
_Scalar ei = 0;
Matrix4 mki;
for (int k = 0; k < num_total_frames; k++) {
mki.setZero();
for (typename SparseMatrix::InnerIterator it(skinning_weights, i); it; ++it)
mki += it.value() * bone_transform_mat.blk4(k, it.row());
ei += (mki.template topLeftCorner<3, 3>() * rest_pose_geometry.vec3(frame_subject_id(k), i) +
mki.template topRightCorner<3, 1>() -
vertex.vec3(k, i).template cast<_Scalar>())
.squaredNorm();
}
// #pragma omp atomic
e += ei;
}
return std::sqrt(e / num_total_frames / num_vertices);
}
//! Callback function invoked before each spliting of bone clusters in
//! initialization
virtual void cbInitSplitBegin() {}
//! Callback function invoked after each spliting of bone clusters in
//! initialization
virtual void cbInitSplitEnd() {}
//! Callback function invoked before each global iteration update
virtual void cbIterBegin() {}
//! Callback function invoked after each global iteration update, stop
//! iteration if return true
virtual bool cbIterEnd() { return false; }
//! Callback function invoked before each skinning weights update
virtual void cbWeightsBegin() {}
//! Callback function invoked after each skinning weights update
virtual void cbWeightsEnd() {}
//! Callback function invoked before each bone transformations update
virtual void cbTranformationsBegin() {}
//! Callback function invoked after each bone transformations update
virtual void cbTransformationsEnd() {}
//! Callback function invoked before each local bone transformations update
//! iteration
virtual void cbTransformationsIterBegin() {}
//! Callback function invoked after each local bone transformations update
//! iteration, stop iteration if return true
virtual bool cbTransformationsIterEnd() { return false; }
//! Callback function invoked before each local weights update iteration
virtual void cbWeightsIterBegin() {}
//! Callback function invoked after each local weights update iteration, stop
//! iteration if return true
virtual bool cbWeightsIterEnd() { return false; }
private:
int _iter, _iterTransformations, _iterWeights;
/** Best rigid transformation from covariance matrix
@param _qpT is the 4*4 covariance matrix
@param k is the frame number
@param j is the bone index
*/
void qpT2m(const Matrix4 &_qpT, int k, int j) {
if (_qpT(3, 3) != 0) {
Matrix4 qpT = _qpT / _qpT(3, 3);
Eigen::JacobiSVD<Matrix3> svd(
qpT.template topLeftCorner<3, 3>() -
qpT.template topRightCorner<3, 1>() *
qpT.template bottomLeftCorner<1, 3>(),
Eigen::ComputeFullU | Eigen::ComputeFullV);
Matrix3 d = Matrix3::Identity();
d(2, 2) = (svd.matrixU() * svd.matrixV().transpose()).determinant();
bone_transform_mat.rotMat(k, j) = svd.matrixU() * d * svd.matrixV().transpose();
bone_transform_mat.transVec(k, j) =
qpT.template topRightCorner<3, 1>() -
bone_transform_mat.rotMat(k, j) * qpT.template bottomLeftCorner<1, 3>().transpose();
}
}
/** Fitting error
@param i is the vertex index
@param j is the bone index
*/
_Scalar errorVtxBone(int i, int j, bool par = true) {
_Scalar e = 0;
// #pragma omp parallel for if (par)
for (int k = 0; k < num_total_frames; k++)
// #pragma omp atomic
e += (bone_transform_mat.rotMat(k, j) * rest_pose_geometry.vec3(frame_subject_id(k), i) + bone_transform_mat.transVec(k, j) -
vertex.vec3(k, i).template cast<_Scalar>())
.squaredNorm();
return e;
}
//! label(i) is the index of the bone associated with vertex i
Eigen::VectorXi label;
//! Comparator for heap with smallest values on top
struct TripletLess {
bool operator()(const Triplet &t1, const Triplet &t2) {
return t1.value() > t2.value();
}
};
/** Update labels of vertices
*/
void computeLabel() {
VectorX ei(num_vertices);
Eigen::VectorXi seed = Eigen::VectorXi::Constant(num_bones, -1);
VectorX gLabelMin(num_bones);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
int j = label(i);
if (j != -1) {
ei(i) = errorVtxBone(i, j, false);
if ((seed(j) == -1) || (ei(i) < gLabelMin(j))) {
// #pragma omp critical
if ((seed(j) == -1) || (ei(i) < gLabelMin(j))) {
gLabelMin(j) = ei(i);
seed(j) = i;
}
}
}
}
std::priority_queue<Triplet,
std::vector<Triplet, Eigen::aligned_allocator<Triplet>>,
TripletLess>
heap;
for (int j = 0; j < num_bones; j++)
if (seed(j) != -1)
heap.push(Triplet(j, seed(j), ei(seed(j))));
if (laplacian.cols() != num_vertices)
computeSmoothSolver();
std::vector<bool> dirty(num_vertices, true);
while (!heap.empty()) {
Triplet top = heap.top();
heap.pop();
int i = (int)top.col();
int j = (int)top.row();
if (dirty[i]) {
label(i) = j;
ei(i) = top.value();
dirty[i] = false;
for (typename SparseMatrix::InnerIterator it(laplacian, i); it; ++it) {
int i2 = (int)it.row();
if (dirty[i2]) {
double tmp = (label(i2) == j) ? ei(i2) : errorVtxBone(i2, j);
heap.push(Triplet(j, i2, tmp));
}
}
}
}
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++)
if (label(i) == -1) {
_Scalar gMin;
for (int j = 0; j < num_bones; j++) {
_Scalar ej = errorVtxBone(i, j, false);
if ((label(i) == -1) || (gMin > ej)) {
gMin = ej;
label(i) = j;
}
}
}
}
/** Update bone transformation from label
*/
void computeTransFromLabel() {
bone_transform_mat = Matrix4::Identity().replicate(num_total_frames, num_bones);
// #pragma omp parallel for
for (int k = 0; k < num_total_frames; k++) {
MatrixX qpT = MatrixX::Zero(4, 4 * num_bones);
for (int i = 0; i < num_vertices; i++)
if (label(i) != -1)
qpT.blk4(0, label(i)) +=
Vector4(vertex.vec3(k, i).template cast<_Scalar>().homogeneous()) *
rest_pose_geometry.vec3(frame_subject_id(k), i).homogeneous().transpose();
for (int j = 0; j < num_bones; j++)
qpT2m(qpT.blk4(0, j), k, j);
}
}
/** Set matrix skinning_weights from label
*/
void labelToWeights() {
std::vector<Triplet, Eigen::aligned_allocator<Triplet>> trip(num_vertices);
for (int i = 0; i < num_vertices; i++)
trip[i] = Triplet(label(i), i, _Scalar(1));
skinning_weights.resize(num_bones, num_vertices);
skinning_weights.setFromTriplets(trip.begin(), trip.end());
lock_weight = VectorX::Zero(num_vertices);
}
/** Split bone clusters
@param maxB is the maximum number of bones
@param threshold*2 is the minimum size of the bone cluster to be
splited
*/
void split(int maxB, int threshold) {
// Centroids
MatrixX cu = MatrixX::Zero(3 * num_subjects, num_bones);
Eigen::VectorXi s = Eigen::VectorXi::Zero(num_bones);
for (int i = 0; i < num_vertices; i++) {
cu.col(label(i)) += rest_pose_geometry.col(i);
s(label(i))++;
}
for (int j = 0; j < num_bones; j++)
if (s(j) != 0)
cu.col(j) /= _Scalar(s(j));
// Distance to centroid & error
VectorX d(num_vertices), e(num_vertices);
VectorX minD = VectorX::Constant(num_bones, std::numeric_limits<_Scalar>::max());
VectorX minE = VectorX::Constant(num_bones, std::numeric_limits<_Scalar>::max());
VectorX ce = VectorX::Zero(num_bones);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
int j = label(i);
d(i) = (rest_pose_geometry.col(i) - cu.col(j)).norm();
e(i) = sqrt(errorVtxBone(i, j, false));
if (d(i) < minD(j)) {
// #pragma omp critical
minD(j) = std::min(minD(j), d(i));
}
if (e(i) < minE(j)) {
// #pragma omp critical
minE(j) = std::min(minE(j), e(i));
}
// #pragma omp atomic
ce(j) += e(i);
}
// Seed
Eigen::VectorXi seed = Eigen::VectorXi::Constant(num_bones, -1);
VectorX gMax(num_bones);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
int j = label(i);
double tmp = abs((e(i) - minE(j)) * (d(i) - minD(j)));
if ((seed(j) == -1) || (tmp > gMax(j))) {
// #pragma omp critical
if ((seed(j) == -1) || (tmp > gMax(j))) {
gMax(j) = tmp;
seed(j) = i;
}
}
}
int countID = num_bones;
_Scalar avgErr = ce.sum() / num_bones;
for (int j = 0; j < num_bones; j++)
if ((countID < maxB) && (s(j) > threshold * 2) &&
(ce(j) > avgErr / 100)) {
int newLabel = countID++;
int i = seed(j);
for (typename SparseMatrix::InnerIterator it(laplacian, i); it; ++it)
label(it.row()) = newLabel;
}
num_bones = countID;
}
/** Remove bones with small number of associated vertices
@param threshold is the minimum number of vertices assigned to a bone
*/
void pruneBones(int threshold) {
Eigen::VectorXi s = Eigen::VectorXi::Zero(num_bones);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
// #pragma omp atomic
s(label(i))++;
}
Eigen::VectorXi newID(num_bones);
int countID = 0;
for (int j = 0; j < num_bones; j++)
if (s(j) < threshold)
newID(j) = -1;
else
newID(j) = countID++;
if (countID == num_bones)
return;
for (int j = 0; j < num_bones; j++)
if (newID(j) != -1)
bone_transform_mat.template middleCols<4>(newID(j) * 4) =
bone_transform_mat.template middleCols<4>(j * 4);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++)
label(i) = newID(label(i));
num_bones = countID;
bone_transform_mat.conservativeResize(num_total_frames * 4, num_bones * 4);
computeLabel();
}
/** Initialize skinning weights with rigid bind to the best bone
*/
void initWeights() {
label = Eigen::VectorXi::Constant(num_vertices, -1);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
_Scalar gMin;
for (int j = 0; j < num_bones; j++) {
_Scalar ej = errorVtxBone(i, j, false);
if ((label(i) == -1) || (gMin > ej)) {
gMin = ej;
label(i) = j;
}
}
}
computeLabel();
labelToWeights();
}
//! vuT.blk4(k, j) = \sum_{i=0}^{num_vertices-1} skinning_weights(j, i)*vertex.vec3(k,
//! i).homogeneous()*rest_pose_geometry.vec3(frame_subject_id(k), i).homogeneous()^T
MatrixX vuT;
/** Pre-compute vuT with bone translations affinity soft constraint
*/
void compute_vuT() {
vuT = MatrixX::Zero(num_total_frames * 4, num_bones * 4);
// #pragma omp parallel for
for (int k = 0; k < num_total_frames; k++) {
MatrixX vuTp = MatrixX::Zero(4, num_bones * 4);
for (int i = 0; i < num_vertices; i++)
for (typename SparseMatrix::InnerIterator it(skinning_weights, i); it; ++it) {
Matrix4 tmp =
Vector4(vertex.vec3(k, i).template cast<_Scalar>().homogeneous()) *
rest_pose_geometry.vec3(frame_subject_id(k), i).homogeneous().transpose();
vuT.blk4(k, it.row()) += it.value() * tmp;
vuTp.blk4(0, it.row()) += pow(it.value(), transAffineNorm) * tmp;
}
for (int j = 0; j < num_bones; j++)
if (vuTp(3, j * 4 + 3) != 0)
vuT.blk4(k, j) +=
(transAffine * vuT(k * 4 + 3, j * 4 + 3) / vuTp(3, j * 4 + 3)) *
vuTp.blk4(0, j);
}
}
//! uuT is a sparse block matrix, uuT(j, k).block<4, 4>(s*4, 0) =
//! \sum{i=0}{num_vertices-1} skinning_weights(j, i)*skinning_weights(k,
//! i)*rest_pose_geometry.col(i).segment<3>(s*3).homogeneous().transpose()*rest_pose_geometry.col(i).segment<3>(s*3).homogeneous()
struct SparseMatrixBlock {
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
MatrixX val;
Eigen::VectorXi innerIdx, outerIdx;
} uuT;
/** Pre-compute uuT for bone transformations update
*/
void compute_uuT() {
Eigen::MatrixXi pos = Eigen::MatrixXi::Constant(num_bones, num_bones, -1);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++)
for (typename SparseMatrix::InnerIterator it(skinning_weights, i); it; ++it)
for (typename SparseMatrix::InnerIterator jt(skinning_weights, i); jt; ++jt)
pos(it.row(), jt.row()) = 1;
uuT.outerIdx.resize(num_bones + 1);
uuT.innerIdx.resize(num_bones * num_bones);
int nnz = 0;
for (int j = 0; j < num_bones; j++) {
uuT.outerIdx(j) = nnz;
for (int i = 0; i < num_bones; i++)
if (pos(i, j) != -1) {
uuT.innerIdx(nnz) = i;
pos(i, j) = nnz++;
}
}
uuT.outerIdx(num_bones) = nnz;
uuT.innerIdx.conservativeResize(nnz);
uuT.val = MatrixX::Zero(num_subjects * 4, nnz * 4);
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++)
for (typename SparseMatrix::InnerIterator it(skinning_weights, i); it; ++it)
for (typename SparseMatrix::InnerIterator jt(skinning_weights, i); jt; ++jt)
if (it.row() >= jt.row()) {
double _w = it.value() * jt.value();
MatrixX _uuT(4 * num_subjects, 4);
Vector4 _u;
for (int s = 0; s < num_subjects; s++) {
_u = rest_pose_geometry.vec3(s, i).homogeneous();
_uuT.blk4(s, 0) = _w * _u * _u.transpose();
}
int p = pos(it.row(), jt.row()) * 4;
for (int c = 0; c < 4; c++)
for (int r = 0; r < 4 * num_subjects; r++)
// #pragma omp atomic
uuT.val(r, p + c) += _uuT(r, c);
}
for (int i = 0; i < num_bones; i++)
for (int j = i + 1; j < num_bones; j++)
if (pos(i, j) != -1)
uuT.val.middleCols(pos(i, j) * 4, 4) =
uuT.val.middleCols(pos(j, i) * 4, 4);
}
//! mTm.size = (4*num_subjects*num_bones, 4*num_bones), where mTm.block<4, 4>(s*num_bones+i, j) =
//! \sum_{k=frame_start_index(s)}^{frame_start_index(s+1)-1} bone_transform_mat.block<3, 4>(k*4, i*4)^T*bone_transform_mat.block<3,
//! 4>(k*4, j*4)
MatrixX mTm;
/** Pre-compute mTm for weights update
*/
void compute_mTm() {
Eigen::MatrixXi idx(2, num_bones * (num_bones + 1) / 2);
int nPairs = 0;
for (int i = 0; i < num_bones; i++)
for (int j = i; j < num_bones; j++) {
idx(0, nPairs) = i;
idx(1, nPairs) = j;
nPairs++;
}
mTm = MatrixX::Zero(num_subjects * num_bones * 4, num_bones * 4);
// #pragma omp parallel for
for (int p = 0; p < nPairs; p++) {
int i = idx(0, p);
int j = idx(1, p);
for (int k = 0; k < num_total_frames; k++)
mTm.blk4(frame_subject_id(k) * num_bones + i, j) +=
bone_transform_mat.blk4(k, i).template topRows<3>().transpose() *
bone_transform_mat.blk4(k, j).template topRows<3>();
if (i != j)
for (int s = 0; s < num_subjects; s++)
mTm.blk4(s * num_bones + j, i) = mTm.blk4(s * num_bones + i, j);
}
}
//! aTb.col(i) is the A^Tb for vertex i, where A.size = (3*num_total_frames, num_bones),
//! A.col(j).segment<3>(f*3) is the transformed position of vertex i by bone j
//! at frame f, b = vertex.col(i).
MatrixX aTb;
/** Pre-compute aTb for weights update
*/
void compute_aTb() {
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++)
for (int j = 0; j < num_bones; j++)
if ((aTb(j, i) == 0) && (ws(j, i) > weightEps))
for (int k = 0; k < num_total_frames; k++)
aTb(j, i) += vertex.vec3(k, i).template cast<_Scalar>().dot(
bone_transform_mat.blk4(k, j).template topRows<3>() *
rest_pose_geometry.vec3(frame_subject_id(k), i).homogeneous());
}
//! Size of the model=RMS distance to centroid
_Scalar modelSize;
//! Laplacian matrix
SparseMatrix laplacian;
//! LU factorization of Laplacian
Eigen::SparseLU<SparseMatrix> smoothSolver;
/** Pre-compute Laplacian and LU factorization
*/
void computeSmoothSolver() {
int nFV = (int)fv.size();
_Scalar epsDis = 0;
for (int f = 0; f < nFV; f++) {
int nf = (int)fv[f].size();
for (int g = 0; g < nf; g++) {
int i = fv[f][g];
int j = fv[f][(g + 1) % nf];
epsDis += (rest_pose_geometry.col(i) - rest_pose_geometry.col(j)).norm();
}
}
epsDis = epsDis * weightEps / (_Scalar)num_subjects;
std::vector<Triplet, Eigen::aligned_allocator<Triplet>> triplet;
VectorX d = VectorX::Zero(num_vertices);
std::vector<std::set<int>> isComputed(num_vertices);
// #pragma omp parallel for
for (int f = 0; f < nFV; f++) {
int nf = (int)fv[f].size();
for (int g = 0; g < nf; g++) {
int i = fv[f][g];
int j = fv[f][(g + 1) % nf];
bool needCompute = false;
// #pragma omp critical
if (isComputed[i].find(j) == isComputed[i].end()) {
needCompute = true;
isComputed[i].insert(j);
isComputed[j].insert(i);
}
if (needCompute) {
double val = 0;
for (int s = 0; s < num_subjects; s++) {
double du = (rest_pose_geometry.vec3(s, i) - rest_pose_geometry.vec3(s, j)).norm();
for (int k = frame_start_index(s); k < frame_start_index(s + 1); k++)
val += pow((vertex.vec3(k, i).template cast<_Scalar>() -
vertex.vec3(k, j).template cast<_Scalar>())
.norm() -
du,
2);
}
val = 1 / (sqrt(val / num_total_frames) + epsDis);
// #pragma omp critical
triplet.push_back(Triplet(i, j, -val));
// #pragma omp atomic
d(i) += val;
// #pragma omp critical
triplet.push_back(Triplet(j, i, -val));
// #pragma omp atomic
d(j) += val;
}
}
}
for (int i = 0; i < num_vertices; i++)
triplet.push_back(Triplet(i, i, d(i)));
laplacian.resize(num_vertices, num_vertices);
laplacian.setFromTriplets(triplet.begin(), triplet.end());
for (int i = 0; i < num_vertices; i++)
if (d(i) != 0)
laplacian.row(i) /= d(i);
laplacian = weightsSmoothStep * laplacian +
SparseMatrix((VectorX::Ones(num_vertices)).asDiagonal());
smoothSolver.compute(laplacian);
}
//! Smoothed skinning weights
MatrixX ws;
/** Implicit skinning weights Laplacian smoothing
*/
void compute_ws() {
ws = skinning_weights.transpose();
// #pragma omp parallel for
for (int j = 0; j < num_bones; j++)
ws.col(j) = smoothSolver.solve(ws.col(j));
ws.transposeInPlace();
// #pragma omp parallel for
for (int i = 0; i < num_vertices; i++) {
ws.col(i) = ws.col(i).cwiseMax(0.0);
_Scalar si = ws.col(i).sum();
if (si < _Scalar(0.1))
ws.col(i) = VectorX::Constant(num_bones, _Scalar(1) / num_bones);
else
ws.col(i) /= si;
}
}
//! Per-vertex weights solver
ConvexLS<_Scalar> wSolver;
/** Pre-compute aTa for weights update on one vertex
@param i is the vertex index.
@param aTa is the by-reference output of A^TA for vertex i, where
A.size = (3*num_total_frames, num_bones), A.col(j).segment<3>(f*3) is the transformed position
of vertex i by bone j at frame f.
*/
void compute_aTa(int i, MatrixX &aTa) {
aTa = MatrixX::Zero(num_bones, num_bones);
for (int j1 = 0; j1 < num_bones; j1++)
for (int j2 = j1; j2 < num_bones; j2++) {
for (int s = 0; s < num_subjects; s++)
aTa(j1, j2) += rest_pose_geometry.vec3(s, i).homogeneous().dot(
mTm.blk4(s * num_bones + j1, j2) * rest_pose_geometry.vec3(s, i).homogeneous());
if (j1 != j2)
aTa(j2, j1) = aTa(j1, j2);
}
}
};
} // namespace Dem
#ifdef DEM_BONES_DEM_BONES_MAT_BLOCKS_UNDEFINED
#undef blk4
#undef rotMat
#undef transVec
#undef vec3
#undef DEM_BONES_MAT_BLOCKS
#endif
#endif
|
block-4.c | // { dg-do compile }
void foo()
{
#pragma omp critical
{
return; // { dg-error "invalid branch to/from OpenMP structured block" }
}
}
|
Matrix.c | /*BHEADER**********************************************************************
* Copyright (c) 2008, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* This file is part of HYPRE. See file COPYRIGHT for details.
*
* HYPRE is free software; you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License (as published by the Free
* Software Foundation) version 2.1 dated February 1999.
*
* $Revision$
***********************************************************************EHEADER*/
/******************************************************************************
*
* Matrix - Matrix stored and accessible by rows. Indices and values for
* the matrix nonzeros are copied into the matrix a row at a time, in any
* order using the MatrixGetRow function. The MatrixPutRow function returns
* a pointer to the indices and values of a row. The matrix has a set of
* row and column indices such that these indices begin at "beg" and end
* at "end", where 0 <= "beg" <= "end". In other words, the matrix indices
* have any nonnegative base value, and the base values of the row and column
* indices must agree.
*
*****************************************************************************/
#include <stdlib.h>
#include <memory.h>
#include <assert.h>
#include "Common.h"
#include "Matrix.h"
#include "Numbering.h"
#define MAX_NZ_PER_ROW 1000
/*--------------------------------------------------------------------------
* MatrixCreate - Return (a pointer to) a matrix object.
*--------------------------------------------------------------------------*/
Matrix *MatrixCreate(MPI_Comm comm, HYPRE_Int beg_row, HYPRE_Int end_row)
{
HYPRE_Int num_rows, mype, npes;
Matrix *mat = (Matrix *) malloc(sizeof(Matrix));
mat->comm = comm;
mat->beg_row = beg_row;
mat->end_row = end_row;
mat->mem = (Mem *) MemCreate();
num_rows = mat->end_row - mat->beg_row + 1;
mat->lens = (HYPRE_Int *) MemAlloc(mat->mem, num_rows * sizeof(HYPRE_Int));
mat->inds = (HYPRE_Int **) MemAlloc(mat->mem, num_rows * sizeof(HYPRE_Int *));
mat->vals = (HYPRE_Real **) MemAlloc(mat->mem, num_rows * sizeof(HYPRE_Real *));
/* Send beg_row and end_row to all processors */
/* This is needed in order to map row numbers to processors */
hypre_MPI_Comm_rank(comm, &mype);
hypre_MPI_Comm_size(comm, &npes);
mat->beg_rows = (HYPRE_Int *) MemAlloc(mat->mem, npes * sizeof(HYPRE_Int));
mat->end_rows = (HYPRE_Int *) MemAlloc(mat->mem, npes * sizeof(HYPRE_Int));
hypre_MPI_Allgather(&beg_row, 1, HYPRE_MPI_INT, mat->beg_rows, 1, HYPRE_MPI_INT, comm);
hypre_MPI_Allgather(&end_row, 1, HYPRE_MPI_INT, mat->end_rows, 1, HYPRE_MPI_INT, comm);
mat->num_recv = 0;
mat->num_send = 0;
mat->recv_req = NULL;
mat->send_req = NULL;
mat->recv_req2 = NULL;
mat->send_req2 = NULL;
mat->statuses = NULL;
mat->sendind = NULL;
mat->sendbuf = NULL;
mat->recvbuf = NULL;
mat->numb = NULL;
return mat;
}
/*--------------------------------------------------------------------------
* MatrixCreateLocal - Return (a pointer to) a matrix object.
* The matrix created by this call is a local matrix, not a global matrix.
*--------------------------------------------------------------------------*/
Matrix *MatrixCreateLocal(HYPRE_Int beg_row, HYPRE_Int end_row)
{
HYPRE_Int num_rows;
Matrix *mat = (Matrix *) malloc(sizeof(Matrix));
mat->comm = hypre_MPI_COMM_NULL;
mat->beg_row = beg_row;
mat->end_row = end_row;
mat->mem = (Mem *) MemCreate();
num_rows = mat->end_row - mat->beg_row + 1;
mat->lens = (HYPRE_Int *) MemAlloc(mat->mem, num_rows * sizeof(HYPRE_Int));
mat->inds = (HYPRE_Int **) MemAlloc(mat->mem, num_rows * sizeof(HYPRE_Int *));
mat->vals = (HYPRE_Real **) MemAlloc(mat->mem, num_rows * sizeof(HYPRE_Real *));
/* Send beg_row and end_row to all processors */
/* This is needed in order to map row numbers to processors */
mat->beg_rows = NULL;
mat->end_rows = NULL;
mat->num_recv = 0;
mat->num_send = 0;
mat->recv_req = NULL;
mat->send_req = NULL;
mat->recv_req2 = NULL;
mat->send_req2 = NULL;
mat->statuses = NULL;
mat->sendind = NULL;
mat->sendbuf = NULL;
mat->recvbuf = NULL;
mat->numb = NULL;
return mat;
}
/*--------------------------------------------------------------------------
* MatrixDestroy - Destroy a matrix object "mat".
*--------------------------------------------------------------------------*/
void MatrixDestroy(Matrix *mat)
{
HYPRE_Int i;
for (i=0; i<mat->num_recv; i++)
hypre_MPI_Request_free(&mat->recv_req[i]);
for (i=0; i<mat->num_send; i++)
hypre_MPI_Request_free(&mat->send_req[i]);
for (i=0; i<mat->num_send; i++)
hypre_MPI_Request_free(&mat->recv_req2[i]);
for (i=0; i<mat->num_recv; i++)
hypre_MPI_Request_free(&mat->send_req2[i]);
free(mat->recv_req);
free(mat->send_req);
free(mat->recv_req2);
free(mat->send_req2);
free(mat->statuses);
free(mat->sendind);
free(mat->sendbuf);
free(mat->recvbuf);
MemDestroy(mat->mem);
if (mat->numb)
NumberingDestroy(mat->numb);
free(mat);
}
/*--------------------------------------------------------------------------
* MatrixSetRow - Set a row in a matrix. Only local rows can be set.
* Once a row has been set, it should not be set again, or else the
* memory used by the existing row will not be recovered until
* the matrix is destroyed. "row" is in global coordinate numbering.
*--------------------------------------------------------------------------*/
void MatrixSetRow(Matrix *mat, HYPRE_Int row, HYPRE_Int len, HYPRE_Int *ind, HYPRE_Real *val)
{
row -= mat->beg_row;
mat->lens[row] = len;
mat->inds[row] = (HYPRE_Int *) MemAlloc(mat->mem, len*sizeof(HYPRE_Int));
mat->vals[row] = (HYPRE_Real *) MemAlloc(mat->mem, len*sizeof(HYPRE_Real));
if (ind != NULL)
memcpy(mat->inds[row], ind, len*sizeof(HYPRE_Int));
if (val != NULL)
memcpy(mat->vals[row], val, len*sizeof(HYPRE_Real));
}
/*--------------------------------------------------------------------------
* MatrixGetRow - Get a *local* row in a matrix.
*--------------------------------------------------------------------------*/
void MatrixGetRow(Matrix *mat, HYPRE_Int row, HYPRE_Int *lenp, HYPRE_Int **indp, HYPRE_Real **valp)
{
*lenp = mat->lens[row];
*indp = mat->inds[row];
*valp = mat->vals[row];
}
/*--------------------------------------------------------------------------
* MatrixRowPe - Map "row" to a processor number.
*--------------------------------------------------------------------------*/
HYPRE_Int MatrixRowPe(Matrix *mat, HYPRE_Int row)
{
HYPRE_Int npes, pe;
HYPRE_Int *beg = mat->beg_rows;
HYPRE_Int *end = mat->end_rows;
hypre_MPI_Comm_size(mat->comm, &npes);
for (pe=0; pe<npes; pe++)
{
if (row >= beg[pe] && row <= end[pe])
return pe;
}
hypre_printf("MatrixRowPe: could not map row %d.\n", row);
PARASAILS_EXIT;
return -1; /* for picky compilers */
}
/*--------------------------------------------------------------------------
* MatrixNnz - Return total number of nonzeros in preconditioner.
*--------------------------------------------------------------------------*/
HYPRE_Int MatrixNnz(Matrix *mat)
{
HYPRE_Int num_local, i, total, alltotal;
num_local = mat->end_row - mat->beg_row + 1;
total = 0;
for (i=0; i<num_local; i++)
total += mat->lens[i];
hypre_MPI_Allreduce(&total, &alltotal, 1, HYPRE_MPI_INT, hypre_MPI_SUM, mat->comm);
return alltotal;
}
/*--------------------------------------------------------------------------
* MatrixPrint - Print a matrix to a file "filename". Each processor
* appends to the file in order, but the file is overwritten if it exists.
*--------------------------------------------------------------------------*/
void MatrixPrint(Matrix *mat, char *filename)
{
HYPRE_Int mype, npes, pe;
HYPRE_Int row, i, len, *ind;
HYPRE_Real *val;
hypre_MPI_Comm_rank(mat->comm, &mype);
hypre_MPI_Comm_size(mat->comm, &npes);
for (pe=0; pe<npes; pe++)
{
hypre_MPI_Barrier(mat->comm);
if (mype == pe)
{
FILE *file = fopen(filename, (pe==0 ? "w" : "a"));
assert(file != NULL);
for (row=0; row<=mat->end_row - mat->beg_row; row++)
{
MatrixGetRow(mat, row, &len, &ind, &val);
for (i=0; i<len; i++)
hypre_fprintf(file, "%d %d %.14e\n",
row + mat->beg_row,
mat->numb->local_to_global[ind[i]], val[i]);
}
fclose(file);
}
}
}
/*--------------------------------------------------------------------------
* MatrixReadMaster - MatrixRead routine for processor 0. Internal use.
*--------------------------------------------------------------------------*/
static void MatrixReadMaster(Matrix *mat, char *filename)
{
MPI_Comm comm = mat->comm;
HYPRE_Int mype, npes;
FILE *file;
HYPRE_Int ret;
HYPRE_Int num_rows, curr_proc;
HYPRE_Int row, col;
HYPRE_Real value;
hypre_longint offset;
hypre_longint outbuf;
HYPRE_Int curr_row;
HYPRE_Int len;
HYPRE_Int ind[MAX_NZ_PER_ROW];
HYPRE_Real val[MAX_NZ_PER_ROW];
char line[100];
HYPRE_Int oldrow;
hypre_MPI_Request request;
hypre_MPI_Status status;
hypre_MPI_Comm_size(mat->comm, &npes);
hypre_MPI_Comm_rank(mat->comm, &mype);
file = fopen(filename, "r");
assert(file != NULL);
fgets(line, 100, file);
#ifdef EMSOLVE
ret = hypre_sscanf(line, "%*d %d %*d %*d", &num_rows);
for (row=0; row<num_rows; row++)
hypre_fscanf(file, "%*d");
#else
ret = hypre_sscanf(line, "%d %*d %*d", &num_rows);
#endif
offset = ftell(file);
hypre_fscanf(file, "%d %d %lf", &row, &col, &value);
request = hypre_MPI_REQUEST_NULL;
curr_proc = 1; /* proc for which we are looking for the beginning */
while (curr_proc < npes)
{
if (row == mat->beg_rows[curr_proc])
{
hypre_MPI_Wait(&request, &status);
outbuf = offset;
hypre_MPI_Isend(&outbuf, 1, hypre_MPI_LONG, curr_proc, 0, comm, &request);
curr_proc++;
}
offset = ftell(file);
oldrow = row;
hypre_fscanf(file, "%d %d %lf", &row, &col, &value);
if (oldrow > row)
{
hypre_fprintf(stderr, "Matrix file is not sorted by rows.\n");
PARASAILS_EXIT;
}
}
/* Now read our own part */
rewind(file);
fgets(line, 100, file);
#ifdef EMSOLVE
ret = hypre_sscanf(line, "%*d %d %*d %*d", &num_rows);
for (row=0; row<num_rows; row++)
hypre_fscanf(file, "%*d");
#else
ret = hypre_sscanf(line, "%d %*d %*d", &num_rows);
#endif
ret = hypre_fscanf(file, "%d %d %lf", &row, &col, &value);
curr_row = row;
len = 0;
while (ret != EOF && row <= mat->end_row)
{
if (row != curr_row)
{
/* store this row */
MatrixSetRow(mat, curr_row, len, ind, val);
curr_row = row;
/* reset row pointer */
len = 0;
}
if (len >= MAX_NZ_PER_ROW)
{
hypre_fprintf(stderr, "The matrix has exceeded %d\n", MAX_NZ_PER_ROW);
hypre_fprintf(stderr, "nonzeros per row. Internal buffers must be\n");
hypre_fprintf(stderr, "increased to continue.\n");
PARASAILS_EXIT;
}
ind[len] = col;
val[len] = value;
len++;
ret = hypre_fscanf(file, "%d %d %lf", &row, &col, &value);
}
/* Store the final row */
if (ret == EOF || row > mat->end_row)
MatrixSetRow(mat, mat->end_row, len, ind, val);
fclose(file);
hypre_MPI_Wait(&request, &status);
}
/*--------------------------------------------------------------------------
* MatrixReadSlave - MatrixRead routine for other processors. Internal use.
*--------------------------------------------------------------------------*/
static void MatrixReadSlave(Matrix *mat, char *filename)
{
MPI_Comm comm = mat->comm;
hypre_MPI_Status status;
HYPRE_Int mype;
FILE *file;
HYPRE_Int ret;
HYPRE_Int row, col;
HYPRE_Real value;
hypre_longint offset;
HYPRE_Int curr_row;
HYPRE_Int len;
HYPRE_Int ind[MAX_NZ_PER_ROW];
HYPRE_Real val[MAX_NZ_PER_ROW];
HYPRE_Real time0, time1;
file = fopen(filename, "r");
assert(file != NULL);
hypre_MPI_Comm_rank(mat->comm, &mype);
hypre_MPI_Recv(&offset, 1, hypre_MPI_LONG, 0, 0, comm, &status);
time0 = hypre_MPI_Wtime();
ret = fseek(file, offset, SEEK_SET);
assert(ret == 0);
ret = hypre_fscanf(file, "%d %d %lf", &row, &col, &value);
curr_row = row;
len = 0;
while (ret != EOF && row <= mat->end_row)
{
if (row != curr_row)
{
/* store this row */
MatrixSetRow(mat, curr_row, len, ind, val);
curr_row = row;
/* reset row pointer */
len = 0;
}
if (len >= MAX_NZ_PER_ROW)
{
hypre_fprintf(stderr, "The matrix has exceeded %d\n", MAX_NZ_PER_ROW);
hypre_fprintf(stderr, "nonzeros per row. Internal buffers must be\n");
hypre_fprintf(stderr, "increased to continue.\n");
PARASAILS_EXIT;
}
ind[len] = col;
val[len] = value;
len++;
ret = hypre_fscanf(file, "%d %d %lf", &row, &col, &value);
}
/* Store the final row */
if (ret == EOF || row > mat->end_row)
MatrixSetRow(mat, mat->end_row, len, ind, val);
fclose(file);
time1 = hypre_MPI_Wtime();
hypre_printf("%d: Time for slave read: %f\n", mype, time1-time0);
}
/*--------------------------------------------------------------------------
* MatrixRead - Read a matrix file "filename" from disk and store in the
* matrix "mat" which has already been created using MatrixCreate. The format
* assumes no nonzero rows, the rows are in order, and there will be at least
* one row per processor.
*--------------------------------------------------------------------------*/
void MatrixRead(Matrix *mat, char *filename)
{
HYPRE_Int mype;
HYPRE_Real time0, time1;
hypre_MPI_Comm_rank(mat->comm, &mype);
time0 = hypre_MPI_Wtime();
if (mype == 0)
MatrixReadMaster(mat, filename);
else
MatrixReadSlave(mat, filename);
time1 = hypre_MPI_Wtime();
hypre_printf("%d: Time for reading matrix: %f\n", mype, time1-time0);
MatrixComplete(mat);
}
/*--------------------------------------------------------------------------
* RhsRead - Read a right-hand side file "filename" from disk and store in the
* location pointed to by "rhs". "mat" is needed to provide the partitioning
* information. The expected format is: a header line (n, nrhs) followed
* by n values. Also allows isis format, indicated by 1 HYPRE_Int in first line.
*--------------------------------------------------------------------------*/
void RhsRead(HYPRE_Real *rhs, Matrix *mat, char *filename)
{
FILE *file;
hypre_MPI_Status status;
HYPRE_Int mype, npes;
HYPRE_Int num_rows, num_local, pe, i, converted;
HYPRE_Real *buffer = NULL;
HYPRE_Int buflen = 0;
char line[100];
HYPRE_Int dummy;
hypre_MPI_Comm_size(mat->comm, &npes);
hypre_MPI_Comm_rank(mat->comm, &mype);
num_local = mat->end_row - mat->beg_row + 1;
if (mype != 0)
{
hypre_MPI_Recv(rhs, num_local, hypre_MPI_DOUBLE, 0, 0, mat->comm, &status);
return;
}
file = fopen(filename, "r");
assert(file != NULL);
fgets(line, 100, file);
converted = hypre_sscanf(line, "%d %d", &num_rows, &dummy);
assert(num_rows == mat->end_rows[npes-1]);
/* Read own rows first */
for (i=0; i<num_local; i++)
if (converted == 1) /* isis format */
hypre_fscanf(file, "%*d %lf", &rhs[i]);
else
hypre_fscanf(file, "%lf", &rhs[i]);
for (pe=1; pe<npes; pe++)
{
num_local = mat->end_rows[pe] - mat->beg_rows[pe]+ 1;
if (buflen < num_local)
{
free(buffer);
buflen = num_local;
buffer = (HYPRE_Real *) malloc(buflen * sizeof(HYPRE_Real));
}
for (i=0; i<num_local; i++)
if (converted == 1) /* isis format */
hypre_fscanf(file, "%*d %lf", &buffer[i]);
else
hypre_fscanf(file, "%lf", &buffer[i]);
hypre_MPI_Send(buffer, num_local, hypre_MPI_DOUBLE, pe, 0, mat->comm);
}
free(buffer);
}
/*--------------------------------------------------------------------------
* SetupReceives
*--------------------------------------------------------------------------*/
static void SetupReceives(Matrix *mat, HYPRE_Int reqlen, HYPRE_Int *reqind, HYPRE_Int *outlist)
{
HYPRE_Int i, j, this_pe, mype;
hypre_MPI_Request request;
MPI_Comm comm = mat->comm;
HYPRE_Int num_local = mat->end_row - mat->beg_row + 1;
hypre_MPI_Comm_rank(comm, &mype);
mat->num_recv = 0;
/* Allocate recvbuf */
/* recvbuf has numlocal entires saved for local part of x, used in matvec */
mat->recvlen = reqlen; /* used for the transpose multiply */
mat->recvbuf = (HYPRE_Real *) malloc((reqlen+num_local) * sizeof(HYPRE_Real));
for (i=0; i<reqlen; i=j) /* j is set below */
{
/* The processor that owns the row with index reqind[i] */
this_pe = MatrixRowPe(mat, reqind[i]);
/* Figure out other rows we need from this_pe */
for (j=i+1; j<reqlen; j++)
{
/* if row is on different pe */
if (reqind[j] < mat->beg_rows[this_pe] ||
reqind[j] > mat->end_rows[this_pe])
break;
}
/* Request rows in reqind[i..j-1] */
hypre_MPI_Isend(&reqind[i], j-i, HYPRE_MPI_INT, this_pe, 444, comm, &request);
hypre_MPI_Request_free(&request);
/* Count of number of number of indices needed from this_pe */
outlist[this_pe] = j-i;
hypre_MPI_Recv_init(&mat->recvbuf[i+num_local], j-i, hypre_MPI_DOUBLE, this_pe, 555,
comm, &mat->recv_req[mat->num_recv]);
hypre_MPI_Send_init(&mat->recvbuf[i+num_local], j-i, hypre_MPI_DOUBLE, this_pe, 666,
comm, &mat->send_req2[mat->num_recv]);
mat->num_recv++;
}
}
/*--------------------------------------------------------------------------
* SetupSends
* This function will wait for all receives to complete.
*--------------------------------------------------------------------------*/
static void SetupSends(Matrix *mat, HYPRE_Int *inlist)
{
HYPRE_Int i, j, mype, npes;
hypre_MPI_Request *requests;
hypre_MPI_Status *statuses;
MPI_Comm comm = mat->comm;
hypre_MPI_Comm_rank(comm, &mype);
hypre_MPI_Comm_size(comm, &npes);
requests = (hypre_MPI_Request *) malloc(npes * sizeof(hypre_MPI_Request));
statuses = (hypre_MPI_Status *) malloc(npes * sizeof(hypre_MPI_Status));
/* Determine size of and allocate sendbuf and sendind */
mat->sendlen = 0;
for (i=0; i<npes; i++)
mat->sendlen += inlist[i];
mat->sendbuf = NULL;
mat->sendind = NULL;
if (mat->sendlen)
{
mat->sendbuf = (HYPRE_Real *) malloc(mat->sendlen * sizeof(HYPRE_Real));
mat->sendind = (HYPRE_Int *) malloc(mat->sendlen * sizeof(HYPRE_Int));
}
j = 0;
mat->num_send = 0;
for (i=0; i<npes; i++)
{
if (inlist[i] != 0)
{
/* Post receive for the actual indices */
hypre_MPI_Irecv(&mat->sendind[j], inlist[i], HYPRE_MPI_INT, i, 444, comm,
&requests[mat->num_send]);
/* Set up the send */
hypre_MPI_Send_init(&mat->sendbuf[j], inlist[i], hypre_MPI_DOUBLE, i, 555, comm,
&mat->send_req[mat->num_send]);
/* Set up the receive for the transpose */
hypre_MPI_Recv_init(&mat->sendbuf[j], inlist[i], hypre_MPI_DOUBLE, i, 666, comm,
&mat->recv_req2[mat->num_send]);
mat->num_send++;
j += inlist[i];
}
}
hypre_MPI_Waitall(mat->num_send, requests, statuses);
free(requests);
free(statuses);
/* convert global indices to local indices */
/* these are all indices on this processor */
for (i=0; i<mat->sendlen; i++)
mat->sendind[i] -= mat->beg_row;
}
/*--------------------------------------------------------------------------
* MatrixComplete
*--------------------------------------------------------------------------*/
void MatrixComplete(Matrix *mat)
{
HYPRE_Int mype, npes;
HYPRE_Int *outlist, *inlist;
HYPRE_Int row, len, *ind;
HYPRE_Real *val;
hypre_MPI_Comm_rank(mat->comm, &mype);
hypre_MPI_Comm_size(mat->comm, &npes);
mat->recv_req = (hypre_MPI_Request *) malloc(npes * sizeof(hypre_MPI_Request));
mat->send_req = (hypre_MPI_Request *) malloc(npes * sizeof(hypre_MPI_Request));
mat->recv_req2 = (hypre_MPI_Request *) malloc(npes * sizeof(hypre_MPI_Request));
mat->send_req2 = (hypre_MPI_Request *) malloc(npes * sizeof(hypre_MPI_Request));
mat->statuses = (hypre_MPI_Status *) malloc(npes * sizeof(hypre_MPI_Status));
outlist = (HYPRE_Int *) calloc(npes, sizeof(HYPRE_Int));
inlist = (HYPRE_Int *) calloc(npes, sizeof(HYPRE_Int));
/* Create Numbering object */
mat->numb = NumberingCreate(mat, PARASAILS_NROWS);
SetupReceives(mat, mat->numb->num_ind - mat->numb->num_loc,
&mat->numb->local_to_global[mat->numb->num_loc], outlist);
hypre_MPI_Alltoall(outlist, 1, HYPRE_MPI_INT, inlist, 1, HYPRE_MPI_INT, mat->comm);
SetupSends(mat, inlist);
free(outlist);
free(inlist);
/* Convert to local indices */
for (row=0; row<=mat->end_row - mat->beg_row; row++)
{
MatrixGetRow(mat, row, &len, &ind, &val);
NumberingGlobalToLocal(mat->numb, len, ind, ind);
}
}
/*--------------------------------------------------------------------------
* MatrixMatvec
* Can be done in place.
*--------------------------------------------------------------------------*/
void MatrixMatvec(Matrix *mat, HYPRE_Real *x, HYPRE_Real *y)
{
HYPRE_Int row, i, len, *ind;
HYPRE_Real *val, temp;
HYPRE_Int num_local = mat->end_row - mat->beg_row + 1;
/* Set up persistent communications */
/* Assumes MatrixComplete has been called */
/* Put components of x into the right outgoing buffers */
for (i=0; i<mat->sendlen; i++)
mat->sendbuf[i] = x[mat->sendind[i]];
hypre_MPI_Startall(mat->num_recv, mat->recv_req);
hypre_MPI_Startall(mat->num_send, mat->send_req);
/* Copy local part of x into top part of recvbuf */
for (i=0; i<num_local; i++)
mat->recvbuf[i] = x[i];
hypre_MPI_Waitall(mat->num_recv, mat->recv_req, mat->statuses);
/* do the multiply */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(row,len,ind,val,temp,i) schedule(static)
#endif
for (row=0; row<=mat->end_row - mat->beg_row; row++)
{
MatrixGetRow(mat, row, &len, &ind, &val);
temp = 0.0;
for (i=0; i<len; i++)
{
temp = temp + val[i] * mat->recvbuf[ind[i]];
}
y[row] = temp;
}
hypre_MPI_Waitall(mat->num_send, mat->send_req, mat->statuses);
}
void MatrixMatvecSerial(Matrix *mat, HYPRE_Real *x, HYPRE_Real *y)
{
HYPRE_Int row, i, len, *ind;
HYPRE_Real *val, temp;
HYPRE_Int num_local = mat->end_row - mat->beg_row + 1;
/* Set up persistent communications */
/* Assumes MatrixComplete has been called */
/* Put components of x into the right outgoing buffers */
for (i=0; i<mat->sendlen; i++)
mat->sendbuf[i] = x[mat->sendind[i]];
hypre_MPI_Startall(mat->num_recv, mat->recv_req);
hypre_MPI_Startall(mat->num_send, mat->send_req);
/* Copy local part of x into top part of recvbuf */
for (i=0; i<num_local; i++)
mat->recvbuf[i] = x[i];
hypre_MPI_Waitall(mat->num_recv, mat->recv_req, mat->statuses);
/* do the multiply */
for (row=0; row<=mat->end_row - mat->beg_row; row++)
{
MatrixGetRow(mat, row, &len, &ind, &val);
temp = 0.0;
for (i=0; i<len; i++)
{
temp = temp + val[i] * mat->recvbuf[ind[i]];
}
y[row] = temp;
}
hypre_MPI_Waitall(mat->num_send, mat->send_req, mat->statuses);
}
/*--------------------------------------------------------------------------
* MatrixMatvecTrans
* Can be done in place.
*--------------------------------------------------------------------------*/
void MatrixMatvecTrans(Matrix *mat, HYPRE_Real *x, HYPRE_Real *y)
{
HYPRE_Int row, i, len, *ind;
HYPRE_Real *val;
HYPRE_Int num_local = mat->end_row - mat->beg_row + 1;
/* Set up persistent communications */
/* Assumes MatrixComplete has been called */
/* Post receives for local parts of the solution y */
hypre_MPI_Startall(mat->num_send, mat->recv_req2);
/* initialize accumulator buffer to zero */
for (i=0; i<mat->recvlen+num_local; i++)
mat->recvbuf[i] = 0.0;
/* do the multiply */
for (row=0; row<=mat->end_row - mat->beg_row; row++)
{
MatrixGetRow(mat, row, &len, &ind, &val);
for (i=0; i<len; i++)
{
mat->recvbuf[ind[i]] += val[i] * x[row];
}
}
/* Now can send nonlocal parts of solution to other procs */
hypre_MPI_Startall(mat->num_recv, mat->send_req2);
/* copy local part of solution into y */
for (i=0; i<num_local; i++)
y[i] = mat->recvbuf[i];
/* alternatively, loop over a wait any */
hypre_MPI_Waitall(mat->num_send, mat->recv_req2, mat->statuses);
/* add all the incoming partial sums to y */
for (i=0; i<mat->sendlen; i++)
y[mat->sendind[i]] += mat->sendbuf[i];
hypre_MPI_Waitall(mat->num_recv, mat->send_req2, mat->statuses);
}
|
Naive.h | // Copyright 2015 Christina Teflioudi
//
// 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.
/*
* naive.h
*
* Created on: Oct 10, 2013
* Author: chteflio
*/
#ifndef NAIVEALGO_H_
#define NAIVEALGO_H_
namespace mips {
class Naive : public Mip {
InputArguments args;
std::vector<RetrievalArguments> retrArg;
inline void printAlgoName(const VectorMatrix& leftMatrix) {
logging << "NAIVE" << "\t" << args.threads << "\t";
std::cout << "[ALGORITHM] NAIVE with " << args.threads << " thread(s)" << std::endl;
logging << "P(" << probeMatrix.rowNum << "x" << (0 + probeMatrix.colNum) << ")\t";
logging << "Q^T(" << leftMatrix.rowNum << "x" << (0 + leftMatrix.colNum) << ")\t";
}
inline void initializeInternal(std::vector<VectorMatrix>& queryMatrices, VectorMatrix& leftMatrix) {
std::cout << "[RETRIEVAL] QueryMatrix contains " << leftMatrix.rowNum << " vectors with dimensionality " << (0 + leftMatrix.colNum) << std::endl;
row_type myNumThreads = args.threads;
if (leftMatrix.rowNum < args.threads) {
myNumThreads = leftMatrix.rowNum;
std::cout << "[WARNING] Query matrix contains too few elements. Suboptimal running with " << myNumThreads << " thread(s)" << std::endl;
}
omp_set_num_threads(myNumThreads);
queryMatrices.resize(myNumThreads);
splitMatrices(leftMatrix, queryMatrices);
if (retrArg.size() < args.threads)
retrArg.resize(myNumThreads);
for (row_type i = 0; i < retrArg.size(); i++) {
retrArg[i].initializeBasics(queryMatrices[i], probeMatrix, LEMP_L, args.theta, args.k, myNumThreads, 1, 0, 0,0, false, false);
retrArg[i].clear();
}
}
public:
inline Naive(InputArguments& args) : args(args) {
logging.open(args.logFile.c_str(), std::ios_base::app);
if (!logging.is_open()) {
std::cout << "[WARNING] No log will be created!" << std::endl;
} else {
std::cout << "[INFO] Logging in " << args.logFile << std::endl;
}
omp_set_num_threads(args.threads);
}
inline ~Naive() {
logging.close();
}
inline void setTheta(double theta) {
args.theta = theta;
}
inline void initialize(VectorMatrix& rightMatrix) {
std::cout << "[INIT] ProbeMatrix contains " << rightMatrix.rowNum << " vectors with dimensionality " << (0 + rightMatrix.colNum) << std::endl;
probeMatrix = rightMatrix;
}
void runAboveTheta(VectorMatrix& leftMatrix, Results& results) {
printAlgoName(leftMatrix);
std::vector<VectorMatrix> queryMatrices;
initializeInternal(queryMatrices, leftMatrix);
results.resultsVector.resize(args.threads);
std::cout << "[RETRIEVAL] Retrieval (theta = " << args.theta << ") starts ..." << std::endl;
logging << "theta(" << args.theta << ")\t";
timer.start();
comp_type comparisons = 0;
#pragma omp parallel reduction(+ : comparisons)
{
row_type tid = omp_get_thread_num();
LengthRetriever plainRetriever;
for (row_type i = 0; i < queryMatrices[tid].rowNum; ++i) {
double* query = queryMatrices[tid].getMatrixRowPtr(i);
retrArg[tid].queryId = i;
plainRetriever.naive(query, 0, probeMatrix.rowNum, &retrArg[tid]);
}
results.moveAppend(retrArg[tid].results, tid);
comparisons += retrArg[tid].comparisons;
}
timer.stop();
retrievalTime += timer.elapsedTime().nanos();
totalComparisons += comparisons;
std::cout << "[RETRIEVAL] ... and is finished with " << results.getResultSize() << " results" << std::endl;
logging << results.getResultSize() << "\t";
outputStats();
}
void runTopK(VectorMatrix& leftMatrix, Results& results) {
printAlgoName(leftMatrix);
std::vector<VectorMatrix> queryMatrices;
initializeInternal(queryMatrices, leftMatrix);
results.resultsVector.resize(args.threads);
std::cout << "[RETRIEVAL] Retrieval (k = " << args.k << ") starts ..." << std::endl;
logging << "k(" << args.k << ")\t";
timer.start();
comp_type comparisons = 0;
#pragma omp parallel reduction(+ : comparisons)
{
row_type tid = omp_get_thread_num();
retrArg[tid].allocTopkResults();
LengthRetriever plainRetriever;
for (row_type i = 0; i < queryMatrices[tid].rowNum; ++i) {
double* query = queryMatrices[tid].getMatrixRowPtr(i);
retrArg[tid].queryId = i;
for (row_type j = 0; j < args.k; ++j) {
double ip = queryMatrices[tid].innerProduct(i, probeMatrix.getMatrixRowPtr(j));
retrArg[tid].comparisons++;
retrArg[tid].heap[j] = QueueElement(ip, j);
}
std::make_heap(retrArg[tid].heap.begin(), retrArg[tid].heap.end(), std::greater<QueueElement>()); //make the heap;
plainRetriever.naiveTopk(query, retrArg[tid].k, probeMatrix.rowNum, &retrArg[tid]);
retrArg[tid].writeHeapToTopk(i);
}
retrArg[tid].extendIncompleteResultItems();
results.moveAppend(retrArg[tid].results, tid);
comparisons += retrArg[tid].comparisons;
}
timer.stop();
retrievalTime += timer.elapsedTime().nanos();
totalComparisons += comparisons;
std::cout << "[RETRIEVAL] ... and is finished with " << results.getResultSize() << " results" << std::endl;
logging << results.getResultSize() << "\t";
outputStats();
}
};
}
#endif /* NAIVE_H_ */
|
19_blur_parallel_collapse.c | #include <stddef.h>
#include <stdlib.h>
#include <stdio.h>
#include <time.h>
#include <unistd.h>
#include <omp.h>
#define NX 1002
#define NY 1002
void blur(int *image, size_t szx, size_t szy, size_t iters){
int *temp = malloc(sizeof(int) * szx * szy);
for (size_t i = 0; i< NX*NY; ++i) temp[i]=image[i];
for (size_t iit = 0; iit < iters; ++iit){
#pragma omp parallel for collapse(2)
for (size_t ix = 1; ix< szx-1; ++ix){
for (size_t iy = 1; iy< szy-1; ++iy){
temp[iy + ix * szy] = (int)(0.25 * (float)(image[iy + (ix+1) * szy] +
image[iy + (ix-1) * szy] + image[(iy-1) + ix * szy] +
image[(iy+1) + ix * szy]) + 0.5);
}
}
for (size_t i = 0; i < (szx * szy); ++i){
image[i] = temp[i];
}
}
free(temp);
}
int main(){
int image[(NX)*(NY)];
struct timespec t1, t2;
float dtime;
for (size_t i = 0; i< NX*NY; ++i) image[i]=5;
printf("OpenMP code running on %i threads\n",omp_get_max_threads());
clock_gettime(CLOCK_REALTIME, &t1);
blur(image,NX,NY, 10000);
clock_gettime(CLOCK_REALTIME, &t2);
dtime = (float)(t2.tv_sec - t1.tv_sec) + ((float)(t2.tv_nsec - t1.tv_nsec)
/1.0e9);
printf("Time taken was %f seconds\n",dtime);
printf("Arbitrary value from image %i\n",image[100]);
printf("Arbitrary value printed to avoid compiler optimising the blur out\n");
}
|
CGOpenMPRuntime.h | //===----- CGOpenMPRuntime.h - Interface to OpenMP Runtimes -----*- 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 provides a class for OpenMP runtime code generation.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_LIB_CODEGEN_CGOPENMPRUNTIME_H
#define LLVM_CLANG_LIB_CODEGEN_CGOPENMPRUNTIME_H
#include "CGValue.h"
#include "clang/AST/DeclOpenMP.h"
#include "clang/AST/GlobalDecl.h"
#include "clang/AST/Type.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/SourceLocation.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/StringMap.h"
#include "llvm/ADT/StringSet.h"
#include "llvm/Frontend/OpenMP/OMPConstants.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/ValueHandle.h"
namespace llvm {
class ArrayType;
class Constant;
class FunctionType;
class GlobalVariable;
class StructType;
class Type;
class Value;
} // namespace llvm
namespace clang {
class Expr;
class OMPDependClause;
class OMPExecutableDirective;
class OMPLoopDirective;
class VarDecl;
class OMPDeclareReductionDecl;
class IdentifierInfo;
namespace CodeGen {
class Address;
class CodeGenFunction;
class CodeGenModule;
/// A basic class for pre|post-action for advanced codegen sequence for OpenMP
/// region.
class PrePostActionTy {
public:
explicit PrePostActionTy() {}
virtual void Enter(CodeGenFunction &CGF) {}
virtual void Exit(CodeGenFunction &CGF) {}
virtual ~PrePostActionTy() {}
};
/// Class provides a way to call simple version of codegen for OpenMP region, or
/// an advanced with possible pre|post-actions in codegen.
class RegionCodeGenTy final {
intptr_t CodeGen;
typedef void (*CodeGenTy)(intptr_t, CodeGenFunction &, PrePostActionTy &);
CodeGenTy Callback;
mutable PrePostActionTy *PrePostAction;
RegionCodeGenTy() = delete;
RegionCodeGenTy &operator=(const RegionCodeGenTy &) = delete;
template <typename Callable>
static void CallbackFn(intptr_t CodeGen, CodeGenFunction &CGF,
PrePostActionTy &Action) {
return (*reinterpret_cast<Callable *>(CodeGen))(CGF, Action);
}
public:
template <typename Callable>
RegionCodeGenTy(
Callable &&CodeGen,
typename std::enable_if<
!std::is_same<typename std::remove_reference<Callable>::type,
RegionCodeGenTy>::value>::type * = nullptr)
: CodeGen(reinterpret_cast<intptr_t>(&CodeGen)),
Callback(CallbackFn<typename std::remove_reference<Callable>::type>),
PrePostAction(nullptr) {}
void setAction(PrePostActionTy &Action) const { PrePostAction = &Action; }
void operator()(CodeGenFunction &CGF) const;
};
struct OMPTaskDataTy final {
SmallVector<const Expr *, 4> PrivateVars;
SmallVector<const Expr *, 4> PrivateCopies;
SmallVector<const Expr *, 4> FirstprivateVars;
SmallVector<const Expr *, 4> FirstprivateCopies;
SmallVector<const Expr *, 4> FirstprivateInits;
SmallVector<const Expr *, 4> LastprivateVars;
SmallVector<const Expr *, 4> LastprivateCopies;
SmallVector<const Expr *, 4> ReductionVars;
SmallVector<const Expr *, 4> ReductionCopies;
SmallVector<const Expr *, 4> ReductionOps;
SmallVector<std::pair<OpenMPDependClauseKind, const Expr *>, 4> Dependences;
llvm::PointerIntPair<llvm::Value *, 1, bool> Final;
llvm::PointerIntPair<llvm::Value *, 1, bool> Schedule;
llvm::PointerIntPair<llvm::Value *, 1, bool> Priority;
llvm::Value *Reductions = nullptr;
unsigned NumberOfParts = 0;
bool Tied = true;
bool Nogroup = false;
};
/// Class intended to support codegen of all kind of the reduction clauses.
class ReductionCodeGen {
private:
/// Data required for codegen of reduction clauses.
struct ReductionData {
/// Reference to the original shared item.
const Expr *Ref = nullptr;
/// Helper expression for generation of private copy.
const Expr *Private = nullptr;
/// Helper expression for generation reduction operation.
const Expr *ReductionOp = nullptr;
ReductionData(const Expr *Ref, const Expr *Private, const Expr *ReductionOp)
: Ref(Ref), Private(Private), ReductionOp(ReductionOp) {}
};
/// List of reduction-based clauses.
SmallVector<ReductionData, 4> ClausesData;
/// List of addresses of original shared variables/expressions.
SmallVector<std::pair<LValue, LValue>, 4> SharedAddresses;
/// Sizes of the reduction items in chars.
SmallVector<std::pair<llvm::Value *, llvm::Value *>, 4> Sizes;
/// Base declarations for the reduction items.
SmallVector<const VarDecl *, 4> BaseDecls;
/// Emits lvalue for shared expression.
LValue emitSharedLValue(CodeGenFunction &CGF, const Expr *E);
/// Emits upper bound for shared expression (if array section).
LValue emitSharedLValueUB(CodeGenFunction &CGF, const Expr *E);
/// Performs aggregate initialization.
/// \param N Number of reduction item in the common list.
/// \param PrivateAddr Address of the corresponding private item.
/// \param SharedLVal Address of the original shared variable.
/// \param DRD Declare reduction construct used for reduction item.
void emitAggregateInitialization(CodeGenFunction &CGF, unsigned N,
Address PrivateAddr, LValue SharedLVal,
const OMPDeclareReductionDecl *DRD);
public:
ReductionCodeGen(ArrayRef<const Expr *> Shareds,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> ReductionOps);
/// Emits lvalue for a reduction item.
/// \param N Number of the reduction item.
void emitSharedLValue(CodeGenFunction &CGF, unsigned N);
/// Emits the code for the variable-modified type, if required.
/// \param N Number of the reduction item.
void emitAggregateType(CodeGenFunction &CGF, unsigned N);
/// Emits the code for the variable-modified type, if required.
/// \param N Number of the reduction item.
/// \param Size Size of the type in chars.
void emitAggregateType(CodeGenFunction &CGF, unsigned N, llvm::Value *Size);
/// Performs initialization of the private copy for the reduction item.
/// \param N Number of the reduction item.
/// \param PrivateAddr Address of the corresponding private item.
/// \param DefaultInit Default initialization sequence that should be
/// performed if no reduction specific initialization is found.
/// \param SharedLVal Address of the original shared variable.
void
emitInitialization(CodeGenFunction &CGF, unsigned N, Address PrivateAddr,
LValue SharedLVal,
llvm::function_ref<bool(CodeGenFunction &)> DefaultInit);
/// Returns true if the private copy requires cleanups.
bool needCleanups(unsigned N);
/// Emits cleanup code for the reduction item.
/// \param N Number of the reduction item.
/// \param PrivateAddr Address of the corresponding private item.
void emitCleanups(CodeGenFunction &CGF, unsigned N, Address PrivateAddr);
/// Adjusts \p PrivatedAddr for using instead of the original variable
/// address in normal operations.
/// \param N Number of the reduction item.
/// \param PrivateAddr Address of the corresponding private item.
Address adjustPrivateAddress(CodeGenFunction &CGF, unsigned N,
Address PrivateAddr);
/// Returns LValue for the reduction item.
LValue getSharedLValue(unsigned N) const { return SharedAddresses[N].first; }
/// Returns the size of the reduction item (in chars and total number of
/// elements in the item), or nullptr, if the size is a constant.
std::pair<llvm::Value *, llvm::Value *> getSizes(unsigned N) const {
return Sizes[N];
}
/// Returns the base declaration of the reduction item.
const VarDecl *getBaseDecl(unsigned N) const { return BaseDecls[N]; }
/// Returns the base declaration of the reduction item.
const Expr *getRefExpr(unsigned N) const { return ClausesData[N].Ref; }
/// Returns true if the initialization of the reduction item uses initializer
/// from declare reduction construct.
bool usesReductionInitializer(unsigned N) const;
};
class CGOpenMPRuntime {
public:
/// Allows to disable automatic handling of functions used in target regions
/// as those marked as `omp declare target`.
class DisableAutoDeclareTargetRAII {
CodeGenModule &CGM;
bool SavedShouldMarkAsGlobal;
public:
DisableAutoDeclareTargetRAII(CodeGenModule &CGM);
~DisableAutoDeclareTargetRAII();
};
/// Manages list of nontemporal decls for the specified directive.
class NontemporalDeclsRAII {
CodeGenModule &CGM;
const bool NeedToPush;
public:
NontemporalDeclsRAII(CodeGenModule &CGM, const OMPLoopDirective &S);
~NontemporalDeclsRAII();
};
/// Maps the expression for the lastprivate variable to the global copy used
/// to store new value because original variables are not mapped in inner
/// parallel regions. Only private copies are captured but we need also to
/// store private copy in shared address.
/// Also, stores the expression for the private loop counter and it
/// threaprivate name.
struct LastprivateConditionalData {
llvm::SmallDenseMap<CanonicalDeclPtr<const Decl>, SmallString<16>>
DeclToUniqeName;
LValue IVLVal;
SmallString<16> IVName;
/// True if original lvalue for loop counter can be used in codegen (simd
/// region or simd only mode) and no need to create threadprivate
/// references.
bool UseOriginalIV = false;
};
/// Manages list of lastprivate conditional decls for the specified directive.
class LastprivateConditionalRAII {
CodeGenModule &CGM;
const bool NeedToPush;
public:
LastprivateConditionalRAII(CodeGenFunction &CGF,
const OMPExecutableDirective &S, LValue IVLVal);
~LastprivateConditionalRAII();
};
protected:
CodeGenModule &CGM;
StringRef FirstSeparator, Separator;
/// Constructor allowing to redefine the name separator for the variables.
explicit CGOpenMPRuntime(CodeGenModule &CGM, StringRef FirstSeparator,
StringRef Separator);
/// Creates offloading entry for the provided entry ID \a ID,
/// address \a Addr, size \a Size, and flags \a Flags.
virtual void createOffloadEntry(llvm::Constant *ID, llvm::Constant *Addr,
uint64_t Size, int32_t Flags,
llvm::GlobalValue::LinkageTypes Linkage);
/// Helper to emit outlined function for 'target' directive.
/// \param D Directive to emit.
/// \param ParentName Name of the function that encloses the target region.
/// \param OutlinedFn Outlined function value to be defined by this call.
/// \param OutlinedFnID Outlined function ID value to be defined by this call.
/// \param IsOffloadEntry True if the outlined function is an offload entry.
/// \param CodeGen Lambda codegen specific to an accelerator device.
/// An outlined function may not be an entry if, e.g. the if clause always
/// evaluates to false.
virtual void emitTargetOutlinedFunctionHelper(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen);
/// Emits object of ident_t type with info for source location.
/// \param Flags Flags for OpenMP location.
///
llvm::Value *emitUpdateLocation(CodeGenFunction &CGF, SourceLocation Loc,
unsigned Flags = 0);
/// Returns pointer to ident_t type.
llvm::Type *getIdentTyPointerTy();
/// Gets thread id value for the current thread.
///
llvm::Value *getThreadID(CodeGenFunction &CGF, SourceLocation Loc);
/// Get the function name of an outlined region.
// The name can be customized depending on the target.
//
virtual StringRef getOutlinedHelperName() const { return ".omp_outlined."; }
/// Emits \p Callee function call with arguments \p Args with location \p Loc.
void emitCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::FunctionCallee Callee,
ArrayRef<llvm::Value *> Args = llvm::None) const;
/// Emits address of the word in a memory where current thread id is
/// stored.
virtual Address emitThreadIDAddress(CodeGenFunction &CGF, SourceLocation Loc);
void setLocThreadIdInsertPt(CodeGenFunction &CGF,
bool AtCurrentPoint = false);
void clearLocThreadIdInsertPt(CodeGenFunction &CGF);
/// Check if the default location must be constant.
/// Default is false to support OMPT/OMPD.
virtual bool isDefaultLocationConstant() const { return false; }
/// Returns additional flags that can be stored in reserved_2 field of the
/// default location.
virtual unsigned getDefaultLocationReserved2Flags() const { return 0; }
/// Tries to emit declare variant function for \p OldGD from \p NewGD.
/// \param OrigAddr LLVM IR value for \p OldGD.
/// \param IsForDefinition true, if requested emission for the definition of
/// \p OldGD.
/// \returns true, was able to emit a definition function for \p OldGD, which
/// points to \p NewGD.
virtual bool tryEmitDeclareVariant(const GlobalDecl &NewGD,
const GlobalDecl &OldGD,
llvm::GlobalValue *OrigAddr,
bool IsForDefinition);
/// Returns default flags for the barriers depending on the directive, for
/// which this barier is going to be emitted.
static unsigned getDefaultFlagsForBarriers(OpenMPDirectiveKind Kind);
/// Get the LLVM type for the critical name.
llvm::ArrayType *getKmpCriticalNameTy() const {return KmpCriticalNameTy;}
/// Returns corresponding lock object for the specified critical region
/// name. If the lock object does not exist it is created, otherwise the
/// reference to the existing copy is returned.
/// \param CriticalName Name of the critical region.
///
llvm::Value *getCriticalRegionLock(StringRef CriticalName);
private:
/// Default const ident_t object used for initialization of all other
/// ident_t objects.
llvm::Constant *DefaultOpenMPPSource = nullptr;
using FlagsTy = std::pair<unsigned, unsigned>;
/// Map of flags and corresponding default locations.
using OpenMPDefaultLocMapTy = llvm::DenseMap<FlagsTy, llvm::Value *>;
OpenMPDefaultLocMapTy OpenMPDefaultLocMap;
Address getOrCreateDefaultLocation(unsigned Flags);
QualType IdentQTy;
llvm::StructType *IdentTy = nullptr;
/// Map for SourceLocation and OpenMP runtime library debug locations.
typedef llvm::DenseMap<unsigned, llvm::Value *> OpenMPDebugLocMapTy;
OpenMPDebugLocMapTy OpenMPDebugLocMap;
/// The type for a microtask which gets passed to __kmpc_fork_call().
/// Original representation is:
/// typedef void (kmpc_micro)(kmp_int32 global_tid, kmp_int32 bound_tid,...);
llvm::FunctionType *Kmpc_MicroTy = nullptr;
/// Stores debug location and ThreadID for the function.
struct DebugLocThreadIdTy {
llvm::Value *DebugLoc;
llvm::Value *ThreadID;
/// Insert point for the service instructions.
llvm::AssertingVH<llvm::Instruction> ServiceInsertPt = nullptr;
};
/// Map of local debug location, ThreadId and functions.
typedef llvm::DenseMap<llvm::Function *, DebugLocThreadIdTy>
OpenMPLocThreadIDMapTy;
OpenMPLocThreadIDMapTy OpenMPLocThreadIDMap;
/// Map of UDRs and corresponding combiner/initializer.
typedef llvm::DenseMap<const OMPDeclareReductionDecl *,
std::pair<llvm::Function *, llvm::Function *>>
UDRMapTy;
UDRMapTy UDRMap;
/// Map of functions and locally defined UDRs.
typedef llvm::DenseMap<llvm::Function *,
SmallVector<const OMPDeclareReductionDecl *, 4>>
FunctionUDRMapTy;
FunctionUDRMapTy FunctionUDRMap;
/// Map from the user-defined mapper declaration to its corresponding
/// functions.
llvm::DenseMap<const OMPDeclareMapperDecl *, llvm::Function *> UDMMap;
/// Map of functions and their local user-defined mappers.
using FunctionUDMMapTy =
llvm::DenseMap<llvm::Function *,
SmallVector<const OMPDeclareMapperDecl *, 4>>;
FunctionUDMMapTy FunctionUDMMap;
/// Type kmp_critical_name, originally defined as typedef kmp_int32
/// kmp_critical_name[8];
llvm::ArrayType *KmpCriticalNameTy;
/// An ordered map of auto-generated variables to their unique names.
/// It stores variables with the following names: 1) ".gomp_critical_user_" +
/// <critical_section_name> + ".var" for "omp critical" directives; 2)
/// <mangled_name_for_global_var> + ".cache." for cache for threadprivate
/// variables.
llvm::StringMap<llvm::AssertingVH<llvm::Constant>, llvm::BumpPtrAllocator>
InternalVars;
/// Type typedef kmp_int32 (* kmp_routine_entry_t)(kmp_int32, void *);
llvm::Type *KmpRoutineEntryPtrTy = nullptr;
QualType KmpRoutineEntryPtrQTy;
/// Type typedef struct kmp_task {
/// void * shareds; /**< pointer to block of pointers to
/// shared vars */
/// kmp_routine_entry_t routine; /**< pointer to routine to call for
/// executing task */
/// kmp_int32 part_id; /**< part id for the task */
/// kmp_routine_entry_t destructors; /* pointer to function to invoke
/// deconstructors of firstprivate C++ objects */
/// } kmp_task_t;
QualType KmpTaskTQTy;
/// Saved kmp_task_t for task directive.
QualType SavedKmpTaskTQTy;
/// Saved kmp_task_t for taskloop-based directive.
QualType SavedKmpTaskloopTQTy;
/// Type typedef struct kmp_depend_info {
/// kmp_intptr_t base_addr;
/// size_t len;
/// struct {
/// bool in:1;
/// bool out:1;
/// } flags;
/// } kmp_depend_info_t;
QualType KmpDependInfoTy;
/// struct kmp_dim { // loop bounds info casted to kmp_int64
/// kmp_int64 lo; // lower
/// kmp_int64 up; // upper
/// kmp_int64 st; // stride
/// };
QualType KmpDimTy;
/// Type struct __tgt_offload_entry{
/// void *addr; // Pointer to the offload entry info.
/// // (function or global)
/// char *name; // Name of the function or global.
/// size_t size; // Size of the entry info (0 if it a function).
/// int32_t flags;
/// int32_t reserved;
/// };
QualType TgtOffloadEntryQTy;
/// Entity that registers the offloading constants that were emitted so
/// far.
class OffloadEntriesInfoManagerTy {
CodeGenModule &CGM;
/// Number of entries registered so far.
unsigned OffloadingEntriesNum = 0;
public:
/// Base class of the entries info.
class OffloadEntryInfo {
public:
/// Kind of a given entry.
enum OffloadingEntryInfoKinds : unsigned {
/// Entry is a target region.
OffloadingEntryInfoTargetRegion = 0,
/// Entry is a declare target variable.
OffloadingEntryInfoDeviceGlobalVar = 1,
/// Invalid entry info.
OffloadingEntryInfoInvalid = ~0u
};
protected:
OffloadEntryInfo() = delete;
explicit OffloadEntryInfo(OffloadingEntryInfoKinds Kind) : Kind(Kind) {}
explicit OffloadEntryInfo(OffloadingEntryInfoKinds Kind, unsigned Order,
uint32_t Flags)
: Flags(Flags), Order(Order), Kind(Kind) {}
~OffloadEntryInfo() = default;
public:
bool isValid() const { return Order != ~0u; }
unsigned getOrder() const { return Order; }
OffloadingEntryInfoKinds getKind() const { return Kind; }
uint32_t getFlags() const { return Flags; }
void setFlags(uint32_t NewFlags) { Flags = NewFlags; }
llvm::Constant *getAddress() const {
return cast_or_null<llvm::Constant>(Addr);
}
void setAddress(llvm::Constant *V) {
assert(!Addr.pointsToAliveValue() && "Address has been set before!");
Addr = V;
}
static bool classof(const OffloadEntryInfo *Info) { return true; }
private:
/// Address of the entity that has to be mapped for offloading.
llvm::WeakTrackingVH Addr;
/// Flags associated with the device global.
uint32_t Flags = 0u;
/// Order this entry was emitted.
unsigned Order = ~0u;
OffloadingEntryInfoKinds Kind = OffloadingEntryInfoInvalid;
};
/// Return true if a there are no entries defined.
bool empty() const;
/// Return number of entries defined so far.
unsigned size() const { return OffloadingEntriesNum; }
OffloadEntriesInfoManagerTy(CodeGenModule &CGM) : CGM(CGM) {}
//
// Target region entries related.
//
/// Kind of the target registry entry.
enum OMPTargetRegionEntryKind : uint32_t {
/// Mark the entry as target region.
OMPTargetRegionEntryTargetRegion = 0x0,
/// Mark the entry as a global constructor.
OMPTargetRegionEntryCtor = 0x02,
/// Mark the entry as a global destructor.
OMPTargetRegionEntryDtor = 0x04,
};
/// Target region entries info.
class OffloadEntryInfoTargetRegion final : public OffloadEntryInfo {
/// Address that can be used as the ID of the entry.
llvm::Constant *ID = nullptr;
public:
OffloadEntryInfoTargetRegion()
: OffloadEntryInfo(OffloadingEntryInfoTargetRegion) {}
explicit OffloadEntryInfoTargetRegion(unsigned Order,
llvm::Constant *Addr,
llvm::Constant *ID,
OMPTargetRegionEntryKind Flags)
: OffloadEntryInfo(OffloadingEntryInfoTargetRegion, Order, Flags),
ID(ID) {
setAddress(Addr);
}
llvm::Constant *getID() const { return ID; }
void setID(llvm::Constant *V) {
assert(!ID && "ID has been set before!");
ID = V;
}
static bool classof(const OffloadEntryInfo *Info) {
return Info->getKind() == OffloadingEntryInfoTargetRegion;
}
};
/// Initialize target region entry.
void initializeTargetRegionEntryInfo(unsigned DeviceID, unsigned FileID,
StringRef ParentName, unsigned LineNum,
unsigned Order);
/// Register target region entry.
void registerTargetRegionEntryInfo(unsigned DeviceID, unsigned FileID,
StringRef ParentName, unsigned LineNum,
llvm::Constant *Addr, llvm::Constant *ID,
OMPTargetRegionEntryKind Flags);
/// Return true if a target region entry with the provided information
/// exists.
bool hasTargetRegionEntryInfo(unsigned DeviceID, unsigned FileID,
StringRef ParentName, unsigned LineNum) const;
/// brief Applies action \a Action on all registered entries.
typedef llvm::function_ref<void(unsigned, unsigned, StringRef, unsigned,
const OffloadEntryInfoTargetRegion &)>
OffloadTargetRegionEntryInfoActTy;
void actOnTargetRegionEntriesInfo(
const OffloadTargetRegionEntryInfoActTy &Action);
//
// Device global variable entries related.
//
/// Kind of the global variable entry..
enum OMPTargetGlobalVarEntryKind : uint32_t {
/// Mark the entry as a to declare target.
OMPTargetGlobalVarEntryTo = 0x0,
/// Mark the entry as a to declare target link.
OMPTargetGlobalVarEntryLink = 0x1,
};
/// Device global variable entries info.
class OffloadEntryInfoDeviceGlobalVar final : public OffloadEntryInfo {
/// Type of the global variable.
CharUnits VarSize;
llvm::GlobalValue::LinkageTypes Linkage;
public:
OffloadEntryInfoDeviceGlobalVar()
: OffloadEntryInfo(OffloadingEntryInfoDeviceGlobalVar) {}
explicit OffloadEntryInfoDeviceGlobalVar(unsigned Order,
OMPTargetGlobalVarEntryKind Flags)
: OffloadEntryInfo(OffloadingEntryInfoDeviceGlobalVar, Order, Flags) {}
explicit OffloadEntryInfoDeviceGlobalVar(
unsigned Order, llvm::Constant *Addr, CharUnits VarSize,
OMPTargetGlobalVarEntryKind Flags,
llvm::GlobalValue::LinkageTypes Linkage)
: OffloadEntryInfo(OffloadingEntryInfoDeviceGlobalVar, Order, Flags),
VarSize(VarSize), Linkage(Linkage) {
setAddress(Addr);
}
CharUnits getVarSize() const { return VarSize; }
void setVarSize(CharUnits Size) { VarSize = Size; }
llvm::GlobalValue::LinkageTypes getLinkage() const { return Linkage; }
void setLinkage(llvm::GlobalValue::LinkageTypes LT) { Linkage = LT; }
static bool classof(const OffloadEntryInfo *Info) {
return Info->getKind() == OffloadingEntryInfoDeviceGlobalVar;
}
};
/// Initialize device global variable entry.
void initializeDeviceGlobalVarEntryInfo(StringRef Name,
OMPTargetGlobalVarEntryKind Flags,
unsigned Order);
/// Register device global variable entry.
void
registerDeviceGlobalVarEntryInfo(StringRef VarName, llvm::Constant *Addr,
CharUnits VarSize,
OMPTargetGlobalVarEntryKind Flags,
llvm::GlobalValue::LinkageTypes Linkage);
/// Checks if the variable with the given name has been registered already.
bool hasDeviceGlobalVarEntryInfo(StringRef VarName) const {
return OffloadEntriesDeviceGlobalVar.count(VarName) > 0;
}
/// Applies action \a Action on all registered entries.
typedef llvm::function_ref<void(StringRef,
const OffloadEntryInfoDeviceGlobalVar &)>
OffloadDeviceGlobalVarEntryInfoActTy;
void actOnDeviceGlobalVarEntriesInfo(
const OffloadDeviceGlobalVarEntryInfoActTy &Action);
private:
// Storage for target region entries kind. The storage is to be indexed by
// file ID, device ID, parent function name and line number.
typedef llvm::DenseMap<unsigned, OffloadEntryInfoTargetRegion>
OffloadEntriesTargetRegionPerLine;
typedef llvm::StringMap<OffloadEntriesTargetRegionPerLine>
OffloadEntriesTargetRegionPerParentName;
typedef llvm::DenseMap<unsigned, OffloadEntriesTargetRegionPerParentName>
OffloadEntriesTargetRegionPerFile;
typedef llvm::DenseMap<unsigned, OffloadEntriesTargetRegionPerFile>
OffloadEntriesTargetRegionPerDevice;
typedef OffloadEntriesTargetRegionPerDevice OffloadEntriesTargetRegionTy;
OffloadEntriesTargetRegionTy OffloadEntriesTargetRegion;
/// Storage for device global variable entries kind. The storage is to be
/// indexed by mangled name.
typedef llvm::StringMap<OffloadEntryInfoDeviceGlobalVar>
OffloadEntriesDeviceGlobalVarTy;
OffloadEntriesDeviceGlobalVarTy OffloadEntriesDeviceGlobalVar;
};
OffloadEntriesInfoManagerTy OffloadEntriesInfoManager;
bool ShouldMarkAsGlobal = true;
/// List of the emitted declarations.
llvm::DenseSet<CanonicalDeclPtr<const Decl>> AlreadyEmittedTargetDecls;
/// List of the global variables with their addresses that should not be
/// emitted for the target.
llvm::StringMap<llvm::WeakTrackingVH> EmittedNonTargetVariables;
/// List of variables that can become declare target implicitly and, thus,
/// must be emitted.
llvm::SmallDenseSet<const VarDecl *> DeferredGlobalVariables;
/// Mapping of the original functions to their variants and original global
/// decl.
llvm::MapVector<CanonicalDeclPtr<const FunctionDecl>,
std::pair<GlobalDecl, GlobalDecl>>
DeferredVariantFunction;
using NontemporalDeclsSet = llvm::SmallDenseSet<CanonicalDeclPtr<const Decl>>;
/// Stack for list of declarations in current context marked as nontemporal.
/// The set is the union of all current stack elements.
llvm::SmallVector<NontemporalDeclsSet, 4> NontemporalDeclsStack;
/// Stack for list of addresses of declarations in current context marked as
/// lastprivate conditional. The set is the union of all current stack
/// elements.
llvm::SmallVector<LastprivateConditionalData, 4> LastprivateConditionalStack;
/// Flag for keeping track of weather a requires unified_shared_memory
/// directive is present.
bool HasRequiresUnifiedSharedMemory = false;
/// Flag for keeping track of weather a target region has been emitted.
bool HasEmittedTargetRegion = false;
/// Flag for keeping track of weather a device routine has been emitted.
/// Device routines are specific to the
bool HasEmittedDeclareTargetRegion = false;
/// Loads all the offload entries information from the host IR
/// metadata.
void loadOffloadInfoMetadata();
/// Returns __tgt_offload_entry type.
QualType getTgtOffloadEntryQTy();
/// Start scanning from statement \a S and and emit all target regions
/// found along the way.
/// \param S Starting statement.
/// \param ParentName Name of the function declaration that is being scanned.
void scanForTargetRegionsFunctions(const Stmt *S, StringRef ParentName);
/// Build type kmp_routine_entry_t (if not built yet).
void emitKmpRoutineEntryT(QualType KmpInt32Ty);
/// Returns pointer to kmpc_micro type.
llvm::Type *getKmpc_MicroPointerTy();
/// Returns specified OpenMP runtime function.
/// \param Function OpenMP runtime function.
/// \return Specified function.
llvm::FunctionCallee createRuntimeFunction(unsigned Function);
/// Returns __kmpc_for_static_init_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createForStaticInitFunction(unsigned IVSize,
bool IVSigned);
/// Returns __kmpc_dispatch_init_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createDispatchInitFunction(unsigned IVSize,
bool IVSigned);
/// Returns __kmpc_dispatch_next_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createDispatchNextFunction(unsigned IVSize,
bool IVSigned);
/// Returns __kmpc_dispatch_fini_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createDispatchFiniFunction(unsigned IVSize,
bool IVSigned);
/// If the specified mangled name is not in the module, create and
/// return threadprivate cache object. This object is a pointer's worth of
/// storage that's reserved for use by the OpenMP runtime.
/// \param VD Threadprivate variable.
/// \return Cache variable for the specified threadprivate.
llvm::Constant *getOrCreateThreadPrivateCache(const VarDecl *VD);
/// Gets (if variable with the given name already exist) or creates
/// internal global variable with the specified Name. The created variable has
/// linkage CommonLinkage by default and is initialized by null value.
/// \param Ty Type of the global variable. If it is exist already the type
/// must be the same.
/// \param Name Name of the variable.
llvm::Constant *getOrCreateInternalVariable(llvm::Type *Ty,
const llvm::Twine &Name,
unsigned AddressSpace = 0);
/// Set of threadprivate variables with the generated initializer.
llvm::StringSet<> ThreadPrivateWithDefinition;
/// Set of declare target variables with the generated initializer.
llvm::StringSet<> DeclareTargetWithDefinition;
/// Emits initialization code for the threadprivate variables.
/// \param VDAddr Address of the global variable \a VD.
/// \param Ctor Pointer to a global init function for \a VD.
/// \param CopyCtor Pointer to a global copy function for \a VD.
/// \param Dtor Pointer to a global destructor function for \a VD.
/// \param Loc Location of threadprivate declaration.
void emitThreadPrivateVarInit(CodeGenFunction &CGF, Address VDAddr,
llvm::Value *Ctor, llvm::Value *CopyCtor,
llvm::Value *Dtor, SourceLocation Loc);
/// Emit the array initialization or deletion portion for user-defined mapper
/// code generation.
void emitUDMapperArrayInitOrDel(CodeGenFunction &MapperCGF,
llvm::Value *Handle, llvm::Value *BasePtr,
llvm::Value *Ptr, llvm::Value *Size,
llvm::Value *MapType, CharUnits ElementSize,
llvm::BasicBlock *ExitBB, bool IsInit);
struct TaskResultTy {
llvm::Value *NewTask = nullptr;
llvm::Function *TaskEntry = nullptr;
llvm::Value *NewTaskNewTaskTTy = nullptr;
LValue TDBase;
const RecordDecl *KmpTaskTQTyRD = nullptr;
llvm::Value *TaskDupFn = nullptr;
};
/// Emit task region for the task directive. The task region is emitted in
/// several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
TaskResultTy emitTaskInit(CodeGenFunction &CGF, SourceLocation Loc,
const OMPExecutableDirective &D,
llvm::Function *TaskFunction, QualType SharedsTy,
Address Shareds, const OMPTaskDataTy &Data);
/// Returns default address space for the constant firstprivates, 0 by
/// default.
virtual unsigned getDefaultFirstprivateAddressSpace() const { return 0; }
/// Emit code that pushes the trip count of loops associated with constructs
/// 'target teams distribute' and 'teams distribute parallel for'.
/// \param SizeEmitter Emits the int64 value for the number of iterations of
/// the associated loop.
void emitTargetNumIterationsCall(
CodeGenFunction &CGF, const OMPExecutableDirective &D,
llvm::Value *DeviceID,
llvm::function_ref<llvm::Value *(CodeGenFunction &CGF,
const OMPLoopDirective &D)>
SizeEmitter);
public:
explicit CGOpenMPRuntime(CodeGenModule &CGM)
: CGOpenMPRuntime(CGM, ".", ".") {}
virtual ~CGOpenMPRuntime() {}
virtual void clear();
/// Emits code for OpenMP 'if' clause using specified \a CodeGen
/// function. Here is the logic:
/// if (Cond) {
/// ThenGen();
/// } else {
/// ElseGen();
/// }
void emitIfClause(CodeGenFunction &CGF, const Expr *Cond,
const RegionCodeGenTy &ThenGen,
const RegionCodeGenTy &ElseGen);
/// Checks if the \p Body is the \a CompoundStmt and returns its child
/// statement iff there is only one that is not evaluatable at the compile
/// time.
static const Stmt *getSingleCompoundChild(ASTContext &Ctx, const Stmt *Body);
/// Get the platform-specific name separator.
std::string getName(ArrayRef<StringRef> Parts) const;
/// Emit code for the specified user defined reduction construct.
virtual void emitUserDefinedReduction(CodeGenFunction *CGF,
const OMPDeclareReductionDecl *D);
/// Get combiner/initializer for the specified user-defined reduction, if any.
virtual std::pair<llvm::Function *, llvm::Function *>
getUserDefinedReduction(const OMPDeclareReductionDecl *D);
/// Emit the function for the user defined mapper construct.
void emitUserDefinedMapper(const OMPDeclareMapperDecl *D,
CodeGenFunction *CGF = nullptr);
/// Emits outlined function for the specified OpenMP parallel directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
virtual llvm::Function *emitParallelOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen);
/// Emits outlined function for the specified OpenMP teams directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
virtual llvm::Function *emitTeamsOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen);
/// Emits outlined function for the OpenMP task directive \a D. This
/// outlined function has type void(*)(kmp_int32 ThreadID, struct task_t*
/// TaskT).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param PartIDVar Variable for partition id in the current OpenMP untied
/// task region.
/// \param TaskTVar Variable for task_t argument.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
/// \param Tied true if task is generated for tied task, false otherwise.
/// \param NumberOfParts Number of parts in untied task. Ignored for tied
/// tasks.
///
virtual llvm::Function *emitTaskOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
const VarDecl *PartIDVar, const VarDecl *TaskTVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen,
bool Tied, unsigned &NumberOfParts);
/// Cleans up references to the objects in finished function.
///
virtual void functionFinished(CodeGenFunction &CGF);
/// Emits code for parallel or serial call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run in parallel threads. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
///
virtual void emitParallelCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars,
const Expr *IfCond);
/// Emits a critical region.
/// \param CriticalName Name of the critical region.
/// \param CriticalOpGen Generator for the statement associated with the given
/// critical region.
/// \param Hint Value of the 'hint' clause (optional).
virtual void emitCriticalRegion(CodeGenFunction &CGF, StringRef CriticalName,
const RegionCodeGenTy &CriticalOpGen,
SourceLocation Loc,
const Expr *Hint = nullptr);
/// Emits a master region.
/// \param MasterOpGen Generator for the statement associated with the given
/// master region.
virtual void emitMasterRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &MasterOpGen,
SourceLocation Loc);
/// Emits code for a taskyield directive.
virtual void emitTaskyieldCall(CodeGenFunction &CGF, SourceLocation Loc);
/// Emit a taskgroup region.
/// \param TaskgroupOpGen Generator for the statement associated with the
/// given taskgroup region.
virtual void emitTaskgroupRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &TaskgroupOpGen,
SourceLocation Loc);
/// Emits a single region.
/// \param SingleOpGen Generator for the statement associated with the given
/// single region.
virtual void emitSingleRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &SingleOpGen,
SourceLocation Loc,
ArrayRef<const Expr *> CopyprivateVars,
ArrayRef<const Expr *> DestExprs,
ArrayRef<const Expr *> SrcExprs,
ArrayRef<const Expr *> AssignmentOps);
/// Emit an ordered region.
/// \param OrderedOpGen Generator for the statement associated with the given
/// ordered region.
virtual void emitOrderedRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &OrderedOpGen,
SourceLocation Loc, bool IsThreads);
/// Emit an implicit/explicit barrier for OpenMP threads.
/// \param Kind Directive for which this implicit barrier call must be
/// generated. Must be OMPD_barrier for explicit barrier generation.
/// \param EmitChecks true if need to emit checks for cancellation barriers.
/// \param ForceSimpleCall true simple barrier call must be emitted, false if
/// runtime class decides which one to emit (simple or with cancellation
/// checks).
///
virtual void emitBarrierCall(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind Kind,
bool EmitChecks = true,
bool ForceSimpleCall = false);
/// Check if the specified \a ScheduleKind is static non-chunked.
/// This kind of worksharing directive is emitted without outer loop.
/// \param ScheduleKind Schedule kind specified in the 'schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticNonchunked(OpenMPScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is static non-chunked.
/// This kind of distribute directive is emitted without outer loop.
/// \param ScheduleKind Schedule kind specified in the 'dist_schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticNonchunked(OpenMPDistScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is static chunked.
/// \param ScheduleKind Schedule kind specified in the 'schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticChunked(OpenMPScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is static non-chunked.
/// \param ScheduleKind Schedule kind specified in the 'dist_schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticChunked(OpenMPDistScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is dynamic.
/// This kind of worksharing directive is emitted without outer loop.
/// \param ScheduleKind Schedule Kind specified in the 'schedule' clause.
///
virtual bool isDynamic(OpenMPScheduleClauseKind ScheduleKind) const;
/// struct with the values to be passed to the dispatch runtime function
struct DispatchRTInput {
/// Loop lower bound
llvm::Value *LB = nullptr;
/// Loop upper bound
llvm::Value *UB = nullptr;
/// Chunk size specified using 'schedule' clause (nullptr if chunk
/// was not specified)
llvm::Value *Chunk = nullptr;
DispatchRTInput() = default;
DispatchRTInput(llvm::Value *LB, llvm::Value *UB, llvm::Value *Chunk)
: LB(LB), UB(UB), Chunk(Chunk) {}
};
/// Call the appropriate runtime routine to initialize it before start
/// of loop.
/// This is used for non static scheduled types and when the ordered
/// clause is present on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds \a LB and \a UB and stride \a ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param Ordered true if loop is ordered, false otherwise.
/// \param DispatchValues struct containing llvm values for lower bound, upper
/// bound, and chunk expression.
/// For the default (nullptr) value, the chunk 1 will be used.
///
virtual void emitForDispatchInit(CodeGenFunction &CGF, SourceLocation Loc,
const OpenMPScheduleTy &ScheduleKind,
unsigned IVSize, bool IVSigned, bool Ordered,
const DispatchRTInput &DispatchValues);
/// Struct with the values to be passed to the static runtime function
struct StaticRTInput {
/// Size of the iteration variable in bits.
unsigned IVSize = 0;
/// Sign of the iteration variable.
bool IVSigned = false;
/// true if loop is ordered, false otherwise.
bool Ordered = false;
/// Address of the output variable in which the flag of the last iteration
/// is returned.
Address IL = Address::invalid();
/// Address of the output variable in which the lower iteration number is
/// returned.
Address LB = Address::invalid();
/// Address of the output variable in which the upper iteration number is
/// returned.
Address UB = Address::invalid();
/// Address of the output variable in which the stride value is returned
/// necessary to generated the static_chunked scheduled loop.
Address ST = Address::invalid();
/// Value of the chunk for the static_chunked scheduled loop. For the
/// default (nullptr) value, the chunk 1 will be used.
llvm::Value *Chunk = nullptr;
StaticRTInput(unsigned IVSize, bool IVSigned, bool Ordered, Address IL,
Address LB, Address UB, Address ST,
llvm::Value *Chunk = nullptr)
: IVSize(IVSize), IVSigned(IVSigned), Ordered(Ordered), IL(IL), LB(LB),
UB(UB), ST(ST), Chunk(Chunk) {}
};
/// Call the appropriate runtime routine to initialize it before start
/// of loop.
///
/// This is used only in case of static schedule, when the user did not
/// specify a ordered clause on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds LB and UB and stride ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param Values Input arguments for the construct.
///
virtual void emitForStaticInit(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind,
const OpenMPScheduleTy &ScheduleKind,
const StaticRTInput &Values);
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param SchedKind Schedule kind, specified by the 'dist_schedule' clause.
/// \param Values Input arguments for the construct.
///
virtual void emitDistributeStaticInit(CodeGenFunction &CGF,
SourceLocation Loc,
OpenMPDistScheduleClauseKind SchedKind,
const StaticRTInput &Values);
/// Call the appropriate runtime routine to notify that we finished
/// iteration of the ordered loop with the dynamic scheduling.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
///
virtual void emitForOrderedIterationEnd(CodeGenFunction &CGF,
SourceLocation Loc, unsigned IVSize,
bool IVSigned);
/// Call the appropriate runtime routine to notify that we finished
/// all the work with current loop.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive for which the static finish is emitted.
///
virtual void emitForStaticFinish(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind);
/// Call __kmpc_dispatch_next(
/// ident_t *loc, kmp_int32 tid, kmp_int32 *p_lastiter,
/// kmp_int[32|64] *p_lower, kmp_int[32|64] *p_upper,
/// kmp_int[32|64] *p_stride);
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param IL Address of the output variable in which the flag of the
/// last iteration is returned.
/// \param LB Address of the output variable in which the lower iteration
/// number is returned.
/// \param UB Address of the output variable in which the upper iteration
/// number is returned.
/// \param ST Address of the output variable in which the stride value is
/// returned.
virtual llvm::Value *emitForNext(CodeGenFunction &CGF, SourceLocation Loc,
unsigned IVSize, bool IVSigned,
Address IL, Address LB,
Address UB, Address ST);
/// Emits call to void __kmpc_push_num_threads(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_threads) to generate code for 'num_threads'
/// clause.
/// \param NumThreads An integer value of threads.
virtual void emitNumThreadsClause(CodeGenFunction &CGF,
llvm::Value *NumThreads,
SourceLocation Loc);
/// Emit call to void __kmpc_push_proc_bind(ident_t *loc, kmp_int32
/// global_tid, int proc_bind) to generate code for 'proc_bind' clause.
virtual void emitProcBindClause(CodeGenFunction &CGF,
llvm::omp::ProcBindKind ProcBind,
SourceLocation Loc);
/// Returns address of the threadprivate variable for the current
/// thread.
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of the reference to threadprivate var.
/// \return Address of the threadprivate variable for the current thread.
virtual Address getAddrOfThreadPrivate(CodeGenFunction &CGF,
const VarDecl *VD,
Address VDAddr,
SourceLocation Loc);
/// Returns the address of the variable marked as declare target with link
/// clause OR as declare target with to clause and unified memory.
virtual Address getAddrOfDeclareTargetVar(const VarDecl *VD);
/// Emit a code for initialization of threadprivate variable. It emits
/// a call to runtime library which adds initial value to the newly created
/// threadprivate variable (if it is not constant) and registers destructor
/// for the variable (if any).
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of threadprivate declaration.
/// \param PerformInit true if initialization expression is not constant.
virtual llvm::Function *
emitThreadPrivateVarDefinition(const VarDecl *VD, Address VDAddr,
SourceLocation Loc, bool PerformInit,
CodeGenFunction *CGF = nullptr);
/// Emit a code for initialization of declare target variable.
/// \param VD Declare target variable.
/// \param Addr Address of the global variable \a VD.
/// \param PerformInit true if initialization expression is not constant.
virtual bool emitDeclareTargetVarDefinition(const VarDecl *VD,
llvm::GlobalVariable *Addr,
bool PerformInit);
/// Creates artificial threadprivate variable with name \p Name and type \p
/// VarType.
/// \param VarType Type of the artificial threadprivate variable.
/// \param Name Name of the artificial threadprivate variable.
virtual Address getAddrOfArtificialThreadPrivate(CodeGenFunction &CGF,
QualType VarType,
StringRef Name);
/// Emit flush of the variables specified in 'omp flush' directive.
/// \param Vars List of variables to flush.
virtual void emitFlush(CodeGenFunction &CGF, ArrayRef<const Expr *> Vars,
SourceLocation Loc);
/// Emit task region for the task directive. The task region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to kmp_int32 __kmpc_omp_task(ident_t *, kmp_int32 gtid,
/// kmp_task_t *new_task), where new_task is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
virtual void emitTaskCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPExecutableDirective &D,
llvm::Function *TaskFunction, QualType SharedsTy,
Address Shareds, const Expr *IfCond,
const OMPTaskDataTy &Data);
/// Emit task region for the taskloop directive. The taskloop region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to void __kmpc_taskloop(ident_t *loc, int gtid, kmp_task_t
/// *task, int if_val, kmp_uint64 *lb, kmp_uint64 *ub, kmp_int64 st, int
/// nogroup, int sched, kmp_uint64 grainsize, void *task_dup ), where new_task
/// is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
virtual void emitTaskLoopCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPLoopDirective &D,
llvm::Function *TaskFunction,
QualType SharedsTy, Address Shareds,
const Expr *IfCond, const OMPTaskDataTy &Data);
/// Emit code for the directive that does not require outlining.
///
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
/// \param HasCancel true if region has inner cancel directive, false
/// otherwise.
virtual void emitInlinedDirective(CodeGenFunction &CGF,
OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen,
bool HasCancel = false);
/// Emits reduction function.
/// \param ArgsType Array type containing pointers to reduction variables.
/// \param Privates List of private copies for original reduction arguments.
/// \param LHSExprs List of LHS in \a ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a ReductionOps reduction operations.
/// \param ReductionOps List of reduction operations in form 'LHS binop RHS'
/// or 'operator binop(LHS, RHS)'.
llvm::Function *emitReductionFunction(SourceLocation Loc,
llvm::Type *ArgsType,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
ArrayRef<const Expr *> ReductionOps);
/// Emits single reduction combiner
void emitSingleReductionCombiner(CodeGenFunction &CGF,
const Expr *ReductionOp,
const Expr *PrivateRef,
const DeclRefExpr *LHS,
const DeclRefExpr *RHS);
struct ReductionOptionsTy {
bool WithNowait;
bool SimpleReduction;
OpenMPDirectiveKind ReductionKind;
};
/// Emit a code for reduction clause. Next code should be emitted for
/// reduction:
/// \code
///
/// static kmp_critical_name lock = { 0 };
///
/// void reduce_func(void *lhs[<n>], void *rhs[<n>]) {
/// ...
/// *(Type<i>*)lhs[i] = RedOp<i>(*(Type<i>*)lhs[i], *(Type<i>*)rhs[i]);
/// ...
/// }
///
/// ...
/// void *RedList[<n>] = {&<RHSExprs>[0], ..., &<RHSExprs>[<n>-1]};
/// switch (__kmpc_reduce{_nowait}(<loc>, <gtid>, <n>, sizeof(RedList),
/// RedList, reduce_func, &<lock>)) {
/// case 1:
/// ...
/// <LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]);
/// ...
/// __kmpc_end_reduce{_nowait}(<loc>, <gtid>, &<lock>);
/// break;
/// case 2:
/// ...
/// Atomic(<LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]));
/// ...
/// break;
/// default:;
/// }
/// \endcode
///
/// \param Privates List of private copies for original reduction arguments.
/// \param LHSExprs List of LHS in \a ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a ReductionOps reduction operations.
/// \param ReductionOps List of reduction operations in form 'LHS binop RHS'
/// or 'operator binop(LHS, RHS)'.
/// \param Options List of options for reduction codegen:
/// WithNowait true if parent directive has also nowait clause, false
/// otherwise.
/// SimpleReduction Emit reduction operation only. Used for omp simd
/// directive on the host.
/// ReductionKind The kind of reduction to perform.
virtual void emitReduction(CodeGenFunction &CGF, SourceLocation Loc,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
ArrayRef<const Expr *> ReductionOps,
ReductionOptionsTy Options);
/// Emit a code for initialization of task reduction clause. Next code
/// should be emitted for reduction:
/// \code
///
/// _task_red_item_t red_data[n];
/// ...
/// red_data[i].shar = &origs[i];
/// red_data[i].size = sizeof(origs[i]);
/// red_data[i].f_init = (void*)RedInit<i>;
/// red_data[i].f_fini = (void*)RedDest<i>;
/// red_data[i].f_comb = (void*)RedOp<i>;
/// red_data[i].flags = <Flag_i>;
/// ...
/// void* tg1 = __kmpc_task_reduction_init(gtid, n, red_data);
/// \endcode
///
/// \param LHSExprs List of LHS in \a Data.ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a Data.ReductionOps reduction operations.
/// \param Data Additional data for task generation like tiedness, final
/// state, list of privates, reductions etc.
virtual llvm::Value *emitTaskReductionInit(CodeGenFunction &CGF,
SourceLocation Loc,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
const OMPTaskDataTy &Data);
/// Required to resolve existing problems in the runtime. Emits threadprivate
/// variables to store the size of the VLAs/array sections for
/// initializer/combiner/finalizer functions + emits threadprivate variable to
/// store the pointer to the original reduction item for the custom
/// initializer defined by declare reduction construct.
/// \param RCG Allows to reuse an existing data for the reductions.
/// \param N Reduction item for which fixups must be emitted.
virtual void emitTaskReductionFixups(CodeGenFunction &CGF, SourceLocation Loc,
ReductionCodeGen &RCG, unsigned N);
/// Get the address of `void *` type of the privatue copy of the reduction
/// item specified by the \p SharedLVal.
/// \param ReductionsPtr Pointer to the reduction data returned by the
/// emitTaskReductionInit function.
/// \param SharedLVal Address of the original reduction item.
virtual Address getTaskReductionItem(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Value *ReductionsPtr,
LValue SharedLVal);
/// Emit code for 'taskwait' directive.
virtual void emitTaskwaitCall(CodeGenFunction &CGF, SourceLocation Loc);
/// Emit code for 'cancellation point' construct.
/// \param CancelRegion Region kind for which the cancellation point must be
/// emitted.
///
virtual void emitCancellationPointCall(CodeGenFunction &CGF,
SourceLocation Loc,
OpenMPDirectiveKind CancelRegion);
/// Emit code for 'cancel' construct.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
/// \param CancelRegion Region kind for which the cancel must be emitted.
///
virtual void emitCancelCall(CodeGenFunction &CGF, SourceLocation Loc,
const Expr *IfCond,
OpenMPDirectiveKind CancelRegion);
/// Emit outilined function for 'target' directive.
/// \param D Directive to emit.
/// \param ParentName Name of the function that encloses the target region.
/// \param OutlinedFn Outlined function value to be defined by this call.
/// \param OutlinedFnID Outlined function ID value to be defined by this call.
/// \param IsOffloadEntry True if the outlined function is an offload entry.
/// \param CodeGen Code generation sequence for the \a D directive.
/// An outlined function may not be an entry if, e.g. the if clause always
/// evaluates to false.
virtual void emitTargetOutlinedFunction(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen);
/// Emit the target offloading code associated with \a D. The emitted
/// code attempts offloading the execution to the device, an the event of
/// a failure it executes the host version outlined in \a OutlinedFn.
/// \param D Directive to emit.
/// \param OutlinedFn Host version of the code to be offloaded.
/// \param OutlinedFnID ID of host version of the code to be offloaded.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
/// \param SizeEmitter Callback to emit number of iterations for loop-based
/// directives.
virtual void
emitTargetCall(CodeGenFunction &CGF, const OMPExecutableDirective &D,
llvm::Function *OutlinedFn, llvm::Value *OutlinedFnID,
const Expr *IfCond, const Expr *Device,
llvm::function_ref<llvm::Value *(CodeGenFunction &CGF,
const OMPLoopDirective &D)>
SizeEmitter);
/// Emit the target regions enclosed in \a GD function definition or
/// the function itself in case it is a valid device function. Returns true if
/// \a GD was dealt with successfully.
/// \param GD Function to scan.
virtual bool emitTargetFunctions(GlobalDecl GD);
/// Emit the global variable if it is a valid device global variable.
/// Returns true if \a GD was dealt with successfully.
/// \param GD Variable declaration to emit.
virtual bool emitTargetGlobalVariable(GlobalDecl GD);
/// Checks if the provided global decl \a GD is a declare target variable and
/// registers it when emitting code for the host.
virtual void registerTargetGlobalVariable(const VarDecl *VD,
llvm::Constant *Addr);
/// Registers provided target firstprivate variable as global on the
/// target.
llvm::Constant *registerTargetFirstprivateCopy(CodeGenFunction &CGF,
const VarDecl *VD);
/// Emit the global \a GD if it is meaningful for the target. Returns
/// if it was emitted successfully.
/// \param GD Global to scan.
virtual bool emitTargetGlobal(GlobalDecl GD);
/// Creates and returns a registration function for when at least one
/// requires directives was used in the current module.
llvm::Function *emitRequiresDirectiveRegFun();
/// Creates all the offload entries in the current compilation unit
/// along with the associated metadata.
void createOffloadEntriesAndInfoMetadata();
/// Emits code for teams call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run by team masters. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
///
virtual void emitTeamsCall(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
SourceLocation Loc, llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars);
/// Emits call to void __kmpc_push_num_teams(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_teams, kmp_int32 thread_limit) to generate code
/// for num_teams clause.
/// \param NumTeams An integer expression of teams.
/// \param ThreadLimit An integer expression of threads.
virtual void emitNumTeamsClause(CodeGenFunction &CGF, const Expr *NumTeams,
const Expr *ThreadLimit, SourceLocation Loc);
/// Struct that keeps all the relevant information that should be kept
/// throughout a 'target data' region.
class TargetDataInfo {
/// Set to true if device pointer information have to be obtained.
bool RequiresDevicePointerInfo = false;
public:
/// The array of base pointer passed to the runtime library.
llvm::Value *BasePointersArray = nullptr;
/// The array of section pointers passed to the runtime library.
llvm::Value *PointersArray = nullptr;
/// The array of sizes passed to the runtime library.
llvm::Value *SizesArray = nullptr;
/// The array of map types passed to the runtime library.
llvm::Value *MapTypesArray = nullptr;
/// The total number of pointers passed to the runtime library.
unsigned NumberOfPtrs = 0u;
/// Map between the a declaration of a capture and the corresponding base
/// pointer address where the runtime returns the device pointers.
llvm::DenseMap<const ValueDecl *, Address> CaptureDeviceAddrMap;
explicit TargetDataInfo() {}
explicit TargetDataInfo(bool RequiresDevicePointerInfo)
: RequiresDevicePointerInfo(RequiresDevicePointerInfo) {}
/// Clear information about the data arrays.
void clearArrayInfo() {
BasePointersArray = nullptr;
PointersArray = nullptr;
SizesArray = nullptr;
MapTypesArray = nullptr;
NumberOfPtrs = 0u;
}
/// Return true if the current target data information has valid arrays.
bool isValid() {
return BasePointersArray && PointersArray && SizesArray &&
MapTypesArray && NumberOfPtrs;
}
bool requiresDevicePointerInfo() { return RequiresDevicePointerInfo; }
};
/// Emit the target data mapping code associated with \a D.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the
/// target directive, or null if no device clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
/// \param Info A record used to store information that needs to be preserved
/// until the region is closed.
virtual void emitTargetDataCalls(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
const Expr *IfCond, const Expr *Device,
const RegionCodeGenTy &CodeGen,
TargetDataInfo &Info);
/// Emit the data mapping/movement code associated with the directive
/// \a D that should be of the form 'target [{enter|exit} data | update]'.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
virtual void emitTargetDataStandAloneCall(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
const Expr *IfCond,
const Expr *Device);
/// Marks function \a Fn with properly mangled versions of vector functions.
/// \param FD Function marked as 'declare simd'.
/// \param Fn LLVM function that must be marked with 'declare simd'
/// attributes.
virtual void emitDeclareSimdFunction(const FunctionDecl *FD,
llvm::Function *Fn);
/// Emit initialization for doacross loop nesting support.
/// \param D Loop-based construct used in doacross nesting construct.
virtual void emitDoacrossInit(CodeGenFunction &CGF, const OMPLoopDirective &D,
ArrayRef<Expr *> NumIterations);
/// Emit code for doacross ordered directive with 'depend' clause.
/// \param C 'depend' clause with 'sink|source' dependency kind.
virtual void emitDoacrossOrdered(CodeGenFunction &CGF,
const OMPDependClause *C);
/// Translates the native parameter of outlined function if this is required
/// for target.
/// \param FD Field decl from captured record for the parameter.
/// \param NativeParam Parameter itself.
virtual const VarDecl *translateParameter(const FieldDecl *FD,
const VarDecl *NativeParam) const {
return NativeParam;
}
/// Gets the address of the native argument basing on the address of the
/// target-specific parameter.
/// \param NativeParam Parameter itself.
/// \param TargetParam Corresponding target-specific parameter.
virtual Address getParameterAddress(CodeGenFunction &CGF,
const VarDecl *NativeParam,
const VarDecl *TargetParam) const;
/// Choose default schedule type and chunk value for the
/// dist_schedule clause.
virtual void getDefaultDistScheduleAndChunk(CodeGenFunction &CGF,
const OMPLoopDirective &S, OpenMPDistScheduleClauseKind &ScheduleKind,
llvm::Value *&Chunk) const {}
/// Choose default schedule type and chunk value for the
/// schedule clause.
virtual void getDefaultScheduleAndChunk(CodeGenFunction &CGF,
const OMPLoopDirective &S, OpenMPScheduleClauseKind &ScheduleKind,
const Expr *&ChunkExpr) const;
/// Emits call of the outlined function with the provided arguments,
/// translating these arguments to correct target-specific arguments.
virtual void
emitOutlinedFunctionCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::FunctionCallee OutlinedFn,
ArrayRef<llvm::Value *> Args = llvm::None) const;
/// Emits OpenMP-specific function prolog.
/// Required for device constructs.
virtual void emitFunctionProlog(CodeGenFunction &CGF, const Decl *D);
/// Gets the OpenMP-specific address of the local variable.
virtual Address getAddressOfLocalVariable(CodeGenFunction &CGF,
const VarDecl *VD);
/// Marks the declaration as already emitted for the device code and returns
/// true, if it was marked already, and false, otherwise.
bool markAsGlobalTarget(GlobalDecl GD);
/// Emit deferred declare target variables marked for deferred emission.
void emitDeferredTargetDecls() const;
/// Adjust some parameters for the target-based directives, like addresses of
/// the variables captured by reference in lambdas.
virtual void
adjustTargetSpecificDataForLambdas(CodeGenFunction &CGF,
const OMPExecutableDirective &D) const;
/// Perform check on requires decl to ensure that target architecture
/// supports unified addressing
virtual void checkArchForUnifiedAddressing(const OMPRequiresDecl *D);
/// Checks if the variable has associated OMPAllocateDeclAttr attribute with
/// the predefined allocator and translates it into the corresponding address
/// space.
virtual bool hasAllocateAttributeForGlobalVar(const VarDecl *VD, LangAS &AS);
/// Return whether the unified_shared_memory has been specified.
bool hasRequiresUnifiedSharedMemory() const;
/// Emits the definition of the declare variant function.
virtual bool emitDeclareVariant(GlobalDecl GD, bool IsForDefinition);
/// Checks if the \p VD variable is marked as nontemporal declaration in
/// current context.
bool isNontemporalDecl(const ValueDecl *VD) const;
/// Initializes global counter for lastprivate conditional.
virtual void
initLastprivateConditionalCounter(CodeGenFunction &CGF,
const OMPExecutableDirective &S);
/// Checks if the provided \p LVal is lastprivate conditional and emits the
/// code to update the value of the original variable.
/// \code
/// lastprivate(conditional: a)
/// ...
/// <type> a;
/// lp_a = ...;
/// #pragma omp critical(a)
/// if (last_iv_a <= iv) {
/// last_iv_a = iv;
/// global_a = lp_a;
/// }
/// \endcode
virtual void checkAndEmitLastprivateConditional(CodeGenFunction &CGF,
const Expr *LHS);
/// Gets the address of the global copy used for lastprivate conditional
/// update, if any.
/// \param PrivLVal LValue for the private copy.
/// \param VD Original lastprivate declaration.
virtual void emitLastprivateConditionalFinalUpdate(CodeGenFunction &CGF,
LValue PrivLVal,
const VarDecl *VD,
SourceLocation Loc);
};
/// Class supports emissionof SIMD-only code.
class CGOpenMPSIMDRuntime final : public CGOpenMPRuntime {
public:
explicit CGOpenMPSIMDRuntime(CodeGenModule &CGM) : CGOpenMPRuntime(CGM) {}
~CGOpenMPSIMDRuntime() override {}
/// Emits outlined function for the specified OpenMP parallel directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
llvm::Function *
emitParallelOutlinedFunction(const OMPExecutableDirective &D,
const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen) override;
/// Emits outlined function for the specified OpenMP teams directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
llvm::Function *
emitTeamsOutlinedFunction(const OMPExecutableDirective &D,
const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen) override;
/// Emits outlined function for the OpenMP task directive \a D. This
/// outlined function has type void(*)(kmp_int32 ThreadID, struct task_t*
/// TaskT).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param PartIDVar Variable for partition id in the current OpenMP untied
/// task region.
/// \param TaskTVar Variable for task_t argument.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
/// \param Tied true if task is generated for tied task, false otherwise.
/// \param NumberOfParts Number of parts in untied task. Ignored for tied
/// tasks.
///
llvm::Function *emitTaskOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
const VarDecl *PartIDVar, const VarDecl *TaskTVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen,
bool Tied, unsigned &NumberOfParts) override;
/// Emits code for parallel or serial call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run in parallel threads. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
///
void emitParallelCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars,
const Expr *IfCond) override;
/// Emits a critical region.
/// \param CriticalName Name of the critical region.
/// \param CriticalOpGen Generator for the statement associated with the given
/// critical region.
/// \param Hint Value of the 'hint' clause (optional).
void emitCriticalRegion(CodeGenFunction &CGF, StringRef CriticalName,
const RegionCodeGenTy &CriticalOpGen,
SourceLocation Loc,
const Expr *Hint = nullptr) override;
/// Emits a master region.
/// \param MasterOpGen Generator for the statement associated with the given
/// master region.
void emitMasterRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &MasterOpGen,
SourceLocation Loc) override;
/// Emits code for a taskyield directive.
void emitTaskyieldCall(CodeGenFunction &CGF, SourceLocation Loc) override;
/// Emit a taskgroup region.
/// \param TaskgroupOpGen Generator for the statement associated with the
/// given taskgroup region.
void emitTaskgroupRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &TaskgroupOpGen,
SourceLocation Loc) override;
/// Emits a single region.
/// \param SingleOpGen Generator for the statement associated with the given
/// single region.
void emitSingleRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &SingleOpGen, SourceLocation Loc,
ArrayRef<const Expr *> CopyprivateVars,
ArrayRef<const Expr *> DestExprs,
ArrayRef<const Expr *> SrcExprs,
ArrayRef<const Expr *> AssignmentOps) override;
/// Emit an ordered region.
/// \param OrderedOpGen Generator for the statement associated with the given
/// ordered region.
void emitOrderedRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &OrderedOpGen,
SourceLocation Loc, bool IsThreads) override;
/// Emit an implicit/explicit barrier for OpenMP threads.
/// \param Kind Directive for which this implicit barrier call must be
/// generated. Must be OMPD_barrier for explicit barrier generation.
/// \param EmitChecks true if need to emit checks for cancellation barriers.
/// \param ForceSimpleCall true simple barrier call must be emitted, false if
/// runtime class decides which one to emit (simple or with cancellation
/// checks).
///
void emitBarrierCall(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind Kind, bool EmitChecks = true,
bool ForceSimpleCall = false) override;
/// This is used for non static scheduled types and when the ordered
/// clause is present on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds \a LB and \a UB and stride \a ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param Ordered true if loop is ordered, false otherwise.
/// \param DispatchValues struct containing llvm values for lower bound, upper
/// bound, and chunk expression.
/// For the default (nullptr) value, the chunk 1 will be used.
///
void emitForDispatchInit(CodeGenFunction &CGF, SourceLocation Loc,
const OpenMPScheduleTy &ScheduleKind,
unsigned IVSize, bool IVSigned, bool Ordered,
const DispatchRTInput &DispatchValues) override;
/// Call the appropriate runtime routine to initialize it before start
/// of loop.
///
/// This is used only in case of static schedule, when the user did not
/// specify a ordered clause on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds LB and UB and stride ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param Values Input arguments for the construct.
///
void emitForStaticInit(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind,
const OpenMPScheduleTy &ScheduleKind,
const StaticRTInput &Values) override;
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param SchedKind Schedule kind, specified by the 'dist_schedule' clause.
/// \param Values Input arguments for the construct.
///
void emitDistributeStaticInit(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDistScheduleClauseKind SchedKind,
const StaticRTInput &Values) override;
/// Call the appropriate runtime routine to notify that we finished
/// iteration of the ordered loop with the dynamic scheduling.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
///
void emitForOrderedIterationEnd(CodeGenFunction &CGF, SourceLocation Loc,
unsigned IVSize, bool IVSigned) override;
/// Call the appropriate runtime routine to notify that we finished
/// all the work with current loop.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive for which the static finish is emitted.
///
void emitForStaticFinish(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind) override;
/// Call __kmpc_dispatch_next(
/// ident_t *loc, kmp_int32 tid, kmp_int32 *p_lastiter,
/// kmp_int[32|64] *p_lower, kmp_int[32|64] *p_upper,
/// kmp_int[32|64] *p_stride);
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param IL Address of the output variable in which the flag of the
/// last iteration is returned.
/// \param LB Address of the output variable in which the lower iteration
/// number is returned.
/// \param UB Address of the output variable in which the upper iteration
/// number is returned.
/// \param ST Address of the output variable in which the stride value is
/// returned.
llvm::Value *emitForNext(CodeGenFunction &CGF, SourceLocation Loc,
unsigned IVSize, bool IVSigned, Address IL,
Address LB, Address UB, Address ST) override;
/// Emits call to void __kmpc_push_num_threads(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_threads) to generate code for 'num_threads'
/// clause.
/// \param NumThreads An integer value of threads.
void emitNumThreadsClause(CodeGenFunction &CGF, llvm::Value *NumThreads,
SourceLocation Loc) override;
/// Emit call to void __kmpc_push_proc_bind(ident_t *loc, kmp_int32
/// global_tid, int proc_bind) to generate code for 'proc_bind' clause.
void emitProcBindClause(CodeGenFunction &CGF,
llvm::omp::ProcBindKind ProcBind,
SourceLocation Loc) override;
/// Returns address of the threadprivate variable for the current
/// thread.
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of the reference to threadprivate var.
/// \return Address of the threadprivate variable for the current thread.
Address getAddrOfThreadPrivate(CodeGenFunction &CGF, const VarDecl *VD,
Address VDAddr, SourceLocation Loc) override;
/// Emit a code for initialization of threadprivate variable. It emits
/// a call to runtime library which adds initial value to the newly created
/// threadprivate variable (if it is not constant) and registers destructor
/// for the variable (if any).
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of threadprivate declaration.
/// \param PerformInit true if initialization expression is not constant.
llvm::Function *
emitThreadPrivateVarDefinition(const VarDecl *VD, Address VDAddr,
SourceLocation Loc, bool PerformInit,
CodeGenFunction *CGF = nullptr) override;
/// Creates artificial threadprivate variable with name \p Name and type \p
/// VarType.
/// \param VarType Type of the artificial threadprivate variable.
/// \param Name Name of the artificial threadprivate variable.
Address getAddrOfArtificialThreadPrivate(CodeGenFunction &CGF,
QualType VarType,
StringRef Name) override;
/// Emit flush of the variables specified in 'omp flush' directive.
/// \param Vars List of variables to flush.
void emitFlush(CodeGenFunction &CGF, ArrayRef<const Expr *> Vars,
SourceLocation Loc) override;
/// Emit task region for the task directive. The task region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to kmp_int32 __kmpc_omp_task(ident_t *, kmp_int32 gtid,
/// kmp_task_t *new_task), where new_task is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
void emitTaskCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPExecutableDirective &D,
llvm::Function *TaskFunction, QualType SharedsTy,
Address Shareds, const Expr *IfCond,
const OMPTaskDataTy &Data) override;
/// Emit task region for the taskloop directive. The taskloop region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to void __kmpc_taskloop(ident_t *loc, int gtid, kmp_task_t
/// *task, int if_val, kmp_uint64 *lb, kmp_uint64 *ub, kmp_int64 st, int
/// nogroup, int sched, kmp_uint64 grainsize, void *task_dup ), where new_task
/// is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
void emitTaskLoopCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPLoopDirective &D, llvm::Function *TaskFunction,
QualType SharedsTy, Address Shareds, const Expr *IfCond,
const OMPTaskDataTy &Data) override;
/// Emit a code for reduction clause. Next code should be emitted for
/// reduction:
/// \code
///
/// static kmp_critical_name lock = { 0 };
///
/// void reduce_func(void *lhs[<n>], void *rhs[<n>]) {
/// ...
/// *(Type<i>*)lhs[i] = RedOp<i>(*(Type<i>*)lhs[i], *(Type<i>*)rhs[i]);
/// ...
/// }
///
/// ...
/// void *RedList[<n>] = {&<RHSExprs>[0], ..., &<RHSExprs>[<n>-1]};
/// switch (__kmpc_reduce{_nowait}(<loc>, <gtid>, <n>, sizeof(RedList),
/// RedList, reduce_func, &<lock>)) {
/// case 1:
/// ...
/// <LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]);
/// ...
/// __kmpc_end_reduce{_nowait}(<loc>, <gtid>, &<lock>);
/// break;
/// case 2:
/// ...
/// Atomic(<LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]));
/// ...
/// break;
/// default:;
/// }
/// \endcode
///
/// \param Privates List of private copies for original reduction arguments.
/// \param LHSExprs List of LHS in \a ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a ReductionOps reduction operations.
/// \param ReductionOps List of reduction operations in form 'LHS binop RHS'
/// or 'operator binop(LHS, RHS)'.
/// \param Options List of options for reduction codegen:
/// WithNowait true if parent directive has also nowait clause, false
/// otherwise.
/// SimpleReduction Emit reduction operation only. Used for omp simd
/// directive on the host.
/// ReductionKind The kind of reduction to perform.
void emitReduction(CodeGenFunction &CGF, SourceLocation Loc,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
ArrayRef<const Expr *> ReductionOps,
ReductionOptionsTy Options) override;
/// Emit a code for initialization of task reduction clause. Next code
/// should be emitted for reduction:
/// \code
///
/// _task_red_item_t red_data[n];
/// ...
/// red_data[i].shar = &origs[i];
/// red_data[i].size = sizeof(origs[i]);
/// red_data[i].f_init = (void*)RedInit<i>;
/// red_data[i].f_fini = (void*)RedDest<i>;
/// red_data[i].f_comb = (void*)RedOp<i>;
/// red_data[i].flags = <Flag_i>;
/// ...
/// void* tg1 = __kmpc_task_reduction_init(gtid, n, red_data);
/// \endcode
///
/// \param LHSExprs List of LHS in \a Data.ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a Data.ReductionOps reduction operations.
/// \param Data Additional data for task generation like tiedness, final
/// state, list of privates, reductions etc.
llvm::Value *emitTaskReductionInit(CodeGenFunction &CGF, SourceLocation Loc,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
const OMPTaskDataTy &Data) override;
/// Required to resolve existing problems in the runtime. Emits threadprivate
/// variables to store the size of the VLAs/array sections for
/// initializer/combiner/finalizer functions + emits threadprivate variable to
/// store the pointer to the original reduction item for the custom
/// initializer defined by declare reduction construct.
/// \param RCG Allows to reuse an existing data for the reductions.
/// \param N Reduction item for which fixups must be emitted.
void emitTaskReductionFixups(CodeGenFunction &CGF, SourceLocation Loc,
ReductionCodeGen &RCG, unsigned N) override;
/// Get the address of `void *` type of the privatue copy of the reduction
/// item specified by the \p SharedLVal.
/// \param ReductionsPtr Pointer to the reduction data returned by the
/// emitTaskReductionInit function.
/// \param SharedLVal Address of the original reduction item.
Address getTaskReductionItem(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Value *ReductionsPtr,
LValue SharedLVal) override;
/// Emit code for 'taskwait' directive.
void emitTaskwaitCall(CodeGenFunction &CGF, SourceLocation Loc) override;
/// Emit code for 'cancellation point' construct.
/// \param CancelRegion Region kind for which the cancellation point must be
/// emitted.
///
void emitCancellationPointCall(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind CancelRegion) override;
/// Emit code for 'cancel' construct.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
/// \param CancelRegion Region kind for which the cancel must be emitted.
///
void emitCancelCall(CodeGenFunction &CGF, SourceLocation Loc,
const Expr *IfCond,
OpenMPDirectiveKind CancelRegion) override;
/// Emit outilined function for 'target' directive.
/// \param D Directive to emit.
/// \param ParentName Name of the function that encloses the target region.
/// \param OutlinedFn Outlined function value to be defined by this call.
/// \param OutlinedFnID Outlined function ID value to be defined by this call.
/// \param IsOffloadEntry True if the outlined function is an offload entry.
/// \param CodeGen Code generation sequence for the \a D directive.
/// An outlined function may not be an entry if, e.g. the if clause always
/// evaluates to false.
void emitTargetOutlinedFunction(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen) override;
/// Emit the target offloading code associated with \a D. The emitted
/// code attempts offloading the execution to the device, an the event of
/// a failure it executes the host version outlined in \a OutlinedFn.
/// \param D Directive to emit.
/// \param OutlinedFn Host version of the code to be offloaded.
/// \param OutlinedFnID ID of host version of the code to be offloaded.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
void
emitTargetCall(CodeGenFunction &CGF, const OMPExecutableDirective &D,
llvm::Function *OutlinedFn, llvm::Value *OutlinedFnID,
const Expr *IfCond, const Expr *Device,
llvm::function_ref<llvm::Value *(CodeGenFunction &CGF,
const OMPLoopDirective &D)>
SizeEmitter) override;
/// Emit the target regions enclosed in \a GD function definition or
/// the function itself in case it is a valid device function. Returns true if
/// \a GD was dealt with successfully.
/// \param GD Function to scan.
bool emitTargetFunctions(GlobalDecl GD) override;
/// Emit the global variable if it is a valid device global variable.
/// Returns true if \a GD was dealt with successfully.
/// \param GD Variable declaration to emit.
bool emitTargetGlobalVariable(GlobalDecl GD) override;
/// Emit the global \a GD if it is meaningful for the target. Returns
/// if it was emitted successfully.
/// \param GD Global to scan.
bool emitTargetGlobal(GlobalDecl GD) override;
/// Emits code for teams call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run by team masters. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
///
void emitTeamsCall(CodeGenFunction &CGF, const OMPExecutableDirective &D,
SourceLocation Loc, llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars) override;
/// Emits call to void __kmpc_push_num_teams(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_teams, kmp_int32 thread_limit) to generate code
/// for num_teams clause.
/// \param NumTeams An integer expression of teams.
/// \param ThreadLimit An integer expression of threads.
void emitNumTeamsClause(CodeGenFunction &CGF, const Expr *NumTeams,
const Expr *ThreadLimit, SourceLocation Loc) override;
/// Emit the target data mapping code associated with \a D.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the
/// target directive, or null if no device clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
/// \param Info A record used to store information that needs to be preserved
/// until the region is closed.
void emitTargetDataCalls(CodeGenFunction &CGF,
const OMPExecutableDirective &D, const Expr *IfCond,
const Expr *Device, const RegionCodeGenTy &CodeGen,
TargetDataInfo &Info) override;
/// Emit the data mapping/movement code associated with the directive
/// \a D that should be of the form 'target [{enter|exit} data | update]'.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
void emitTargetDataStandAloneCall(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
const Expr *IfCond,
const Expr *Device) override;
/// Emit initialization for doacross loop nesting support.
/// \param D Loop-based construct used in doacross nesting construct.
void emitDoacrossInit(CodeGenFunction &CGF, const OMPLoopDirective &D,
ArrayRef<Expr *> NumIterations) override;
/// Emit code for doacross ordered directive with 'depend' clause.
/// \param C 'depend' clause with 'sink|source' dependency kind.
void emitDoacrossOrdered(CodeGenFunction &CGF,
const OMPDependClause *C) override;
/// Translates the native parameter of outlined function if this is required
/// for target.
/// \param FD Field decl from captured record for the parameter.
/// \param NativeParam Parameter itself.
const VarDecl *translateParameter(const FieldDecl *FD,
const VarDecl *NativeParam) const override;
/// Gets the address of the native argument basing on the address of the
/// target-specific parameter.
/// \param NativeParam Parameter itself.
/// \param TargetParam Corresponding target-specific parameter.
Address getParameterAddress(CodeGenFunction &CGF, const VarDecl *NativeParam,
const VarDecl *TargetParam) const override;
/// Gets the OpenMP-specific address of the local variable.
Address getAddressOfLocalVariable(CodeGenFunction &CGF,
const VarDecl *VD) override {
return Address::invalid();
}
};
} // namespace CodeGen
} // namespace clang
#endif
|
effect.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% EEEEE FFFFF FFFFF EEEEE CCCC TTTTT %
% E F F E C T %
% EEE FFF FFF EEE C T %
% E F F E C T %
% EEEEE F F EEEEE CCCC T %
% %
% %
% MagickCore Image Effects Methods %
% %
% Software Design %
% Cristy %
% October 1996 %
% %
% %
% Copyright 1999-2014 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% http://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/accelerate.h"
#include "MagickCore/blob.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/constitute.h"
#include "MagickCore/decorate.h"
#include "MagickCore/distort.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/matrix.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/montage.h"
#include "MagickCore/morphology.h"
#include "MagickCore/morphology-private.h"
#include "MagickCore/paint.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/resample.h"
#include "MagickCore/resample-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/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/transform.h"
#include "MagickCore/threshold.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d a p t i v e B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AdaptiveBlurImage() adaptively blurs the image by blurring less
% intensely near image edges and more intensely far from edges. We blur the
% image with a Gaussian operator of the given radius and standard deviation
% (sigma). For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and AdaptiveBlurImage() selects a suitable radius for you.
%
% The format of the AdaptiveBlurImage method is:
%
% Image *AdaptiveBlurImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Laplacian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AdaptiveBlurImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
#define AdaptiveBlurImageTag "Convolve/Image"
#define MagickSigma (fabs(sigma) < MagickEpsilon ? MagickEpsilon : sigma)
CacheView
*blur_view,
*edge_view,
*image_view;
double
normalize;
Image
*blur_image,
*edge_image,
*gaussian_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickRealType
**kernel;
register ssize_t
i;
size_t
width;
ssize_t
j,
k,
u,
v,
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
blur_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (blur_image == (Image *) NULL)
return((Image *) NULL);
if (fabs(sigma) < MagickEpsilon)
return(blur_image);
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
{
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
/*
Edge detect the image brighness channel, level, blur, and level again.
*/
edge_image=EdgeImage(image,radius,exception);
if (edge_image == (Image *) NULL)
{
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
(void) AutoLevelImage(edge_image,exception);
gaussian_image=BlurImage(edge_image,radius,sigma,exception);
if (gaussian_image != (Image *) NULL)
{
edge_image=DestroyImage(edge_image);
edge_image=gaussian_image;
}
(void) AutoLevelImage(edge_image,exception);
/*
Create a set of kernels from maximum (radius,sigma) to minimum.
*/
width=GetOptimalKernelWidth2D(radius,sigma);
kernel=(MagickRealType **) MagickAssumeAligned(AcquireAlignedMemory((size_t)
width,sizeof(*kernel)));
if (kernel == (MagickRealType **) NULL)
{
edge_image=DestroyImage(edge_image);
blur_image=DestroyImage(blur_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) ResetMagickMemory(kernel,0,(size_t) width*sizeof(*kernel));
for (i=0; i < (ssize_t) width; i+=2)
{
kernel[i]=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory(
(size_t) (width-i),(width-i)*sizeof(**kernel)));
if (kernel[i] == (MagickRealType *) NULL)
break;
normalize=0.0;
j=(ssize_t) (width-i-1)/2;
k=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel[i][k]=(MagickRealType) (exp(-((double) u*u+v*v)/(2.0*MagickSigma*
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
normalize+=kernel[i][k];
k++;
}
}
kernel[i][(j-1)/2]+=(1.0-normalize);
if (sigma < MagickEpsilon)
kernel[i][(j-1)/2]=1.0;
}
if (i < (ssize_t) width)
{
for (i-=2; i >= 0; i-=2)
kernel[i]=(MagickRealType *) RelinquishAlignedMemory(kernel[i]);
kernel=(MagickRealType **) RelinquishAlignedMemory(kernel);
edge_image=DestroyImage(edge_image);
blur_image=DestroyImage(blur_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Adaptively blur image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
edge_view=AcquireVirtualCacheView(edge_image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,blur_image->rows,1)
#endif
for (y=0; y < (ssize_t) blur_image->rows; y++)
{
register const Quantum
*restrict r;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
r=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if ((r == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) blur_image->columns; x++)
{
register const Quantum
*restrict p;
register ssize_t
i;
ssize_t
center,
j;
j=(ssize_t) ceil((double) width*QuantumScale*
GetPixelIntensity(edge_image,r)-0.5);
if (j < 0)
j=0;
else
if (j > (ssize_t) width)
j=(ssize_t) width;
if ((j & 0x01) != 0)
j--;
p=GetCacheViewVirtualPixels(image_view,x-((ssize_t) (width-j)/2L),y-
(ssize_t) ((width-j)/2L),width-j,width-j,exception);
if (p == (const Quantum *) NULL)
break;
center=(ssize_t) GetPixelChannels(image)*(width-j)*((width-j)/2L)+
GetPixelChannels(image)*((width-j)/2L);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
blur_traits,
traits;
register const MagickRealType
*restrict k;
register const Quantum
*restrict pixels;
register ssize_t
u;
ssize_t
v;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
blur_traits=GetPixelChannelTraits(blur_image,channel);
if ((traits == UndefinedPixelTrait) ||
(blur_traits == UndefinedPixelTrait))
continue;
if (((blur_traits & CopyPixelTrait) != 0) ||
(GetPixelReadMask(image,p+center) == 0))
{
SetPixelChannel(blur_image,channel,p[center+i],q);
continue;
}
k=kernel[j];
pixels=p;
pixel=0.0;
gamma=0.0;
if ((blur_traits & BlendPixelTrait) == 0)
{
/*
No alpha blending.
*/
for (v=0; v < (ssize_t) (width-j); v++)
{
for (u=0; u < (ssize_t) (width-j); u++)
{
pixel+=(*k)*pixels[i];
gamma+=(*k);
k++;
pixels+=GetPixelChannels(image);
}
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
continue;
}
/*
Alpha blending.
*/
for (v=0; v < (ssize_t) (width-j); v++)
{
for (u=0; u < (ssize_t) (width-j); u++)
{
alpha=(double) (QuantumScale*GetPixelAlpha(image,pixels));
pixel+=(*k)*alpha*pixels[i];
gamma+=(*k)*alpha;
k++;
pixels+=GetPixelChannels(image);
}
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
}
q+=GetPixelChannels(blur_image);
r+=GetPixelChannels(edge_image);
}
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_AdaptiveBlurImage)
#endif
proceed=SetImageProgress(image,AdaptiveBlurImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_image->type=image->type;
blur_view=DestroyCacheView(blur_view);
edge_view=DestroyCacheView(edge_view);
image_view=DestroyCacheView(image_view);
edge_image=DestroyImage(edge_image);
for (i=0; i < (ssize_t) width; i+=2)
kernel[i]=(MagickRealType *) RelinquishAlignedMemory(kernel[i]);
kernel=(MagickRealType **) RelinquishAlignedMemory(kernel);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d a p t i v e S h a r p e n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AdaptiveSharpenImage() adaptively sharpens the image by sharpening more
% intensely near image edges and less intensely far from edges. We sharpen the
% image with a Gaussian operator of the given radius and standard deviation
% (sigma). For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and AdaptiveSharpenImage() selects a suitable radius for you.
%
% The format of the AdaptiveSharpenImage method is:
%
% Image *AdaptiveSharpenImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Laplacian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AdaptiveSharpenImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
#define AdaptiveSharpenImageTag "Convolve/Image"
#define MagickSigma (fabs(sigma) < MagickEpsilon ? MagickEpsilon : sigma)
CacheView
*sharp_view,
*edge_view,
*image_view;
double
normalize;
Image
*sharp_image,
*edge_image,
*gaussian_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickRealType
**kernel;
register ssize_t
i;
size_t
width;
ssize_t
j,
k,
u,
v,
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
sharp_image=CloneImage(image,0,0,MagickTrue,exception);
if (sharp_image == (Image *) NULL)
return((Image *) NULL);
if (fabs(sigma) < MagickEpsilon)
return(sharp_image);
if (SetImageStorageClass(sharp_image,DirectClass,exception) == MagickFalse)
{
sharp_image=DestroyImage(sharp_image);
return((Image *) NULL);
}
/*
Edge detect the image brightness channel, level, sharp, and level again.
*/
edge_image=EdgeImage(image,radius,exception);
if (edge_image == (Image *) NULL)
{
sharp_image=DestroyImage(sharp_image);
return((Image *) NULL);
}
(void) AutoLevelImage(edge_image,exception);
gaussian_image=BlurImage(edge_image,radius,sigma,exception);
if (gaussian_image != (Image *) NULL)
{
edge_image=DestroyImage(edge_image);
edge_image=gaussian_image;
}
(void) AutoLevelImage(edge_image,exception);
/*
Create a set of kernels from maximum (radius,sigma) to minimum.
*/
width=GetOptimalKernelWidth2D(radius,sigma);
kernel=(MagickRealType **) MagickAssumeAligned(AcquireAlignedMemory((size_t)
width,sizeof(*kernel)));
if (kernel == (MagickRealType **) NULL)
{
edge_image=DestroyImage(edge_image);
sharp_image=DestroyImage(sharp_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) ResetMagickMemory(kernel,0,(size_t) width*sizeof(*kernel));
for (i=0; i < (ssize_t) width; i+=2)
{
kernel[i]=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory(
(size_t) (width-i),(width-i)*sizeof(**kernel)));
if (kernel[i] == (MagickRealType *) NULL)
break;
normalize=0.0;
j=(ssize_t) (width-i)/2;
k=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel[i][k]=(MagickRealType) (-exp(-((double) u*u+v*v)/(2.0*
MagickSigma*MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
normalize+=kernel[i][k];
k++;
}
}
kernel[i][(k-1)/2]=(double) ((-2.0)*normalize);
if (sigma < MagickEpsilon)
kernel[i][(k-1)/2]=1.0;
}
if (i < (ssize_t) width)
{
for (i-=2; i >= 0; i-=2)
kernel[i]=(MagickRealType *) RelinquishAlignedMemory(kernel[i]);
kernel=(MagickRealType **) RelinquishAlignedMemory(kernel);
edge_image=DestroyImage(edge_image);
sharp_image=DestroyImage(sharp_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Adaptively sharpen image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
edge_view=AcquireVirtualCacheView(edge_image,exception);
sharp_view=AcquireAuthenticCacheView(sharp_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,sharp_image,sharp_image->rows,1)
#endif
for (y=0; y < (ssize_t) sharp_image->rows; y++)
{
register const Quantum
*restrict r;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
r=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(sharp_view,0,y,sharp_image->columns,1,
exception);
if ((r == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) sharp_image->columns; x++)
{
register const Quantum
*restrict p;
register ssize_t
i;
ssize_t
center,
j;
j=(ssize_t) ceil((double) width*(1.0-QuantumScale*
GetPixelIntensity(edge_image,r))-0.5);
if (j < 0)
j=0;
else
if (j > (ssize_t) width)
j=(ssize_t) width;
if ((j & 0x01) != 0)
j--;
p=GetCacheViewVirtualPixels(image_view,x-((ssize_t) (width-j)/2L),y-
(ssize_t) ((width-j)/2L),width-j,width-j,exception);
if (p == (const Quantum *) NULL)
break;
center=(ssize_t) GetPixelChannels(image)*(width-j)*((width-j)/2L)+
GetPixelChannels(image)*((width-j)/2);
for (i=0; i < (ssize_t) GetPixelChannels(sharp_image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
sharp_traits,
traits;
register const MagickRealType
*restrict k;
register const Quantum
*restrict pixels;
register ssize_t
u;
ssize_t
v;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
sharp_traits=GetPixelChannelTraits(sharp_image,channel);
if ((traits == UndefinedPixelTrait) ||
(sharp_traits == UndefinedPixelTrait))
continue;
if (((sharp_traits & CopyPixelTrait) != 0) ||
(GetPixelReadMask(image,p+center) == 0))
{
SetPixelChannel(sharp_image,channel,p[center+i],q);
continue;
}
k=kernel[j];
pixels=p;
pixel=0.0;
gamma=0.0;
if ((sharp_traits & BlendPixelTrait) == 0)
{
/*
No alpha blending.
*/
for (v=0; v < (ssize_t) (width-j); v++)
{
for (u=0; u < (ssize_t) (width-j); u++)
{
pixel+=(*k)*pixels[i];
gamma+=(*k);
k++;
pixels+=GetPixelChannels(image);
}
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(sharp_image,channel,ClampToQuantum(gamma*pixel),q);
continue;
}
/*
Alpha blending.
*/
for (v=0; v < (ssize_t) (width-j); v++)
{
for (u=0; u < (ssize_t) (width-j); u++)
{
alpha=(double) (QuantumScale*GetPixelAlpha(image,pixels));
pixel+=(*k)*alpha*pixels[i];
gamma+=(*k)*alpha;
k++;
pixels+=GetPixelChannels(image);
}
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(sharp_image,channel,ClampToQuantum(gamma*pixel),q);
}
q+=GetPixelChannels(sharp_image);
r+=GetPixelChannels(edge_image);
}
if (SyncCacheViewAuthenticPixels(sharp_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_AdaptiveSharpenImage)
#endif
proceed=SetImageProgress(image,AdaptiveSharpenImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
sharp_image->type=image->type;
sharp_view=DestroyCacheView(sharp_view);
edge_view=DestroyCacheView(edge_view);
image_view=DestroyCacheView(image_view);
edge_image=DestroyImage(edge_image);
for (i=0; i < (ssize_t) width; i+=2)
kernel[i]=(MagickRealType *) RelinquishAlignedMemory(kernel[i]);
kernel=(MagickRealType **) RelinquishAlignedMemory(kernel);
if (status == MagickFalse)
sharp_image=DestroyImage(sharp_image);
return(sharp_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BlurImage() blurs an image. We convolve the image with a Gaussian operator
% of the given radius and standard deviation (sigma). For reasonable results,
% the radius should be larger than sigma. Use a radius of 0 and BlurImage()
% selects a suitable radius for you.
%
% The format of the BlurImage method is:
%
% Image *BlurImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *BlurImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
char
geometry[MaxTextExtent];
KernelInfo
*kernel_info;
Image
*blur_image;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
(void) FormatLocaleString(geometry,MaxTextExtent,
"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma);
kernel_info=AcquireKernelInfo(geometry);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
blur_image=MorphologyApply(image,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n v o l v e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConvolveImage() applies a custom convolution kernel to the image.
%
% The format of the ConvolveImage method is:
%
% Image *ConvolveImage(const Image *image,const KernelInfo *kernel,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o kernel: the filtering kernel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ConvolveImage(const Image *image,
const KernelInfo *kernel_info,ExceptionInfo *exception)
{
Image
*convolve_image;
convolve_image=MorphologyApply(image,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
return(convolve_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s p e c k l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DespeckleImage() reduces the speckle noise in an image while perserving the
% edges of the original image. A speckle removing filter uses a complementary % hulling technique (raising pixels that are darker than their surrounding
% neighbors, then complementarily lowering pixels that are brighter than their
% surrounding neighbors) to reduce the speckle index of that image (reference
% Crimmins speckle removal).
%
% The format of the DespeckleImage method is:
%
% Image *DespeckleImage(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.
%
*/
static void Hull(const Image *image,const ssize_t x_offset,
const ssize_t y_offset,const size_t columns,const size_t rows,
const int polarity,Quantum *restrict f,Quantum *restrict g)
{
register Quantum
*p,
*q,
*r,
*s;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(f != (Quantum *) NULL);
assert(g != (Quantum *) NULL);
p=f+(columns+2);
q=g+(columns+2);
r=p+(y_offset*(columns+2)+x_offset);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) \
magick_threads(image,image,1,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
MagickRealType
v;
register ssize_t
i,
x;
i=(2*y+1)+y*columns;
if (polarity > 0)
for (x=0; x < (ssize_t) columns; x++)
{
v=(MagickRealType) p[i];
if ((MagickRealType) r[i] >= (v+ScaleCharToQuantum(2)))
v+=ScaleCharToQuantum(1);
q[i]=(Quantum) v;
i++;
}
else
for (x=0; x < (ssize_t) columns; x++)
{
v=(MagickRealType) p[i];
if ((MagickRealType) r[i] <= (v-ScaleCharToQuantum(2)))
v-=ScaleCharToQuantum(1);
q[i]=(Quantum) v;
i++;
}
}
p=f+(columns+2);
q=g+(columns+2);
r=q+(y_offset*(columns+2)+x_offset);
s=q-(y_offset*(columns+2)+x_offset);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) \
magick_threads(image,image,1,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
register ssize_t
i,
x;
MagickRealType
v;
i=(2*y+1)+y*columns;
if (polarity > 0)
for (x=0; x < (ssize_t) columns; x++)
{
v=(MagickRealType) q[i];
if (((MagickRealType) s[i] >= (v+ScaleCharToQuantum(2))) &&
((MagickRealType) r[i] > v))
v+=ScaleCharToQuantum(1);
p[i]=(Quantum) v;
i++;
}
else
for (x=0; x < (ssize_t) columns; x++)
{
v=(MagickRealType) q[i];
if (((MagickRealType) s[i] <= (v-ScaleCharToQuantum(2))) &&
((MagickRealType) r[i] < v))
v-=ScaleCharToQuantum(1);
p[i]=(Quantum) v;
i++;
}
}
}
MagickExport Image *DespeckleImage(const Image *image,ExceptionInfo *exception)
{
#define DespeckleImageTag "Despeckle/Image"
CacheView
*despeckle_view,
*image_view;
Image
*despeckle_image;
MagickBooleanType
status;
MemoryInfo
*buffer_info,
*pixel_info;
Quantum
*restrict buffer,
*restrict pixels;
register ssize_t
i;
size_t
length;
static const ssize_t
X[4] = {0, 1, 1,-1},
Y[4] = {1, 0, 1, 1};
/*
Allocate despeckled image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
despeckle_image=CloneImage(image,0,0,MagickTrue,exception);
if (despeckle_image == (Image *) NULL)
return((Image *) NULL);
status=SetImageStorageClass(despeckle_image,DirectClass,exception);
if (status == MagickFalse)
{
despeckle_image=DestroyImage(despeckle_image);
return((Image *) NULL);
}
/*
Allocate image buffer.
*/
length=(size_t) ((image->columns+2)*(image->rows+2));
pixel_info=AcquireVirtualMemory(length,sizeof(*pixels));
buffer_info=AcquireVirtualMemory(length,sizeof(*buffer));
if ((pixel_info == (MemoryInfo *) NULL) ||
(buffer_info == (MemoryInfo *) NULL))
{
if (buffer_info != (MemoryInfo *) NULL)
buffer_info=RelinquishVirtualMemory(buffer_info);
if (pixel_info != (MemoryInfo *) NULL)
pixel_info=RelinquishVirtualMemory(pixel_info);
despeckle_image=DestroyImage(despeckle_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
pixels=(Quantum *) GetVirtualMemoryBlob(pixel_info);
buffer=(Quantum *) GetVirtualMemoryBlob(buffer_info);
/*
Reduce speckle in the image.
*/
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
despeckle_view=AcquireAuthenticCacheView(despeckle_image,exception);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
despeckle_traits,
traits;
register ssize_t
k,
x;
ssize_t
j,
y;
if (status == MagickFalse)
continue;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
despeckle_traits=GetPixelChannelTraits(despeckle_image,channel);
if ((traits == UndefinedPixelTrait) ||
(despeckle_traits == UndefinedPixelTrait))
continue;
if ((despeckle_traits & CopyPixelTrait) != 0)
continue;
(void) ResetMagickMemory(pixels,0,length*sizeof(*pixels));
j=(ssize_t) image->columns+2;
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*restrict p;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
j++;
for (x=0; x < (ssize_t) image->columns; x++)
{
pixels[j++]=p[i];
p+=GetPixelChannels(image);
}
j++;
}
(void) ResetMagickMemory(buffer,0,length*sizeof(*buffer));
for (k=0; k < 4; k++)
{
Hull(image,X[k],Y[k],image->columns,image->rows,1,pixels,buffer);
Hull(image,-X[k],-Y[k],image->columns,image->rows,1,pixels,buffer);
Hull(image,-X[k],-Y[k],image->columns,image->rows,-1,pixels,buffer);
Hull(image,X[k],Y[k],image->columns,image->rows,-1,pixels,buffer);
}
j=(ssize_t) image->columns+2;
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register Quantum
*restrict q;
q=GetCacheViewAuthenticPixels(despeckle_view,0,y,despeckle_image->columns,
1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
j++;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelChannel(despeckle_image,channel,pixels[j++],q);
q+=GetPixelChannels(despeckle_image);
}
sync=SyncCacheViewAuthenticPixels(despeckle_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
j++;
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,DespeckleImageTag,(MagickOffsetType) i,
GetPixelChannels(image));
if (proceed == MagickFalse)
status=MagickFalse;
}
}
despeckle_view=DestroyCacheView(despeckle_view);
image_view=DestroyCacheView(image_view);
buffer_info=RelinquishVirtualMemory(buffer_info);
pixel_info=RelinquishVirtualMemory(pixel_info);
despeckle_image->type=image->type;
if (status == MagickFalse)
despeckle_image=DestroyImage(despeckle_image);
return(despeckle_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E d g e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EdgeImage() finds edges in an image. Radius defines the radius of the
% convolution filter. Use a radius of 0 and EdgeImage() selects a suitable
% radius for you.
%
% The format of the EdgeImage method is:
%
% Image *EdgeImage(const Image *image,const double radius,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *EdgeImage(const Image *image,const double radius,
ExceptionInfo *exception)
{
Image
*edge_image;
KernelInfo
*kernel_info;
register ssize_t
i;
size_t
width;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
width=GetOptimalKernelWidth1D(radius,0.5);
kernel_info=AcquireKernelInfo((const char *) NULL);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
(void) ResetMagickMemory(kernel_info,0,sizeof(*kernel_info));
kernel_info->width=width;
kernel_info->height=width;
kernel_info->x=(ssize_t) (kernel_info->width-1)/2;
kernel_info->y=(ssize_t) (kernel_info->height-1)/2;
kernel_info->signature=MagickSignature;
kernel_info->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel_info->width,kernel_info->height*
sizeof(*kernel_info->values)));
if (kernel_info->values == (MagickRealType *) NULL)
{
kernel_info=DestroyKernelInfo(kernel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
kernel_info->values[i]=(-1.0);
kernel_info->values[i/2]=(double) kernel_info->width*kernel_info->height-1.0;
edge_image=MorphologyApply(image,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(edge_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E m b o s s I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EmbossImage() returns a grayscale image with a three-dimensional effect.
% We convolve the image with a Gaussian operator of the given radius and
% standard deviation (sigma). For reasonable results, radius should be
% larger than sigma. Use a radius of 0 and Emboss() selects a suitable
% radius for you.
%
% The format of the EmbossImage method is:
%
% Image *EmbossImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *EmbossImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
double
gamma,
normalize;
Image
*emboss_image;
KernelInfo
*kernel_info;
register ssize_t
i;
size_t
width;
ssize_t
j,
k,
u,
v;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
width=GetOptimalKernelWidth1D(radius,sigma);
kernel_info=AcquireKernelInfo((const char *) NULL);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
kernel_info->width=width;
kernel_info->height=width;
kernel_info->x=(ssize_t) (width-1)/2;
kernel_info->y=(ssize_t) (width-1)/2;
kernel_info->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel_info->width,kernel_info->width*
sizeof(*kernel_info->values)));
if (kernel_info->values == (MagickRealType *) NULL)
{
kernel_info=DestroyKernelInfo(kernel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
j=(ssize_t) (kernel_info->width-1)/2;
k=j;
i=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel_info->values[i]=(MagickRealType) (((u < 0) || (v < 0) ? -8.0 :
8.0)*exp(-((double) u*u+v*v)/(2.0*MagickSigma*MagickSigma))/
(2.0*MagickPI*MagickSigma*MagickSigma));
if (u != k)
kernel_info->values[i]=0.0;
i++;
}
k--;
}
normalize=0.0;
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
normalize+=kernel_info->values[i];
gamma=PerceptibleReciprocal(normalize);
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
kernel_info->values[i]*=gamma;
emboss_image=MorphologyApply(image,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
if (emboss_image != (Image *) NULL)
(void) EqualizeImage(emboss_image,exception);
return(emboss_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G a u s s i a n B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GaussianBlurImage() blurs an image. We convolve the image with a
% Gaussian operator of the given radius and standard deviation (sigma).
% For reasonable results, the radius should be larger than sigma. Use a
% radius of 0 and GaussianBlurImage() selects a suitable radius for you
%
% The format of the GaussianBlurImage method is:
%
% Image *GaussianBlurImage(const Image *image,onst double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *GaussianBlurImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
char
geometry[MaxTextExtent];
KernelInfo
*kernel_info;
Image
*blur_image;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
(void) FormatLocaleString(geometry,MaxTextExtent,"gaussian:%.20gx%.20g",
radius,sigma);
kernel_info=AcquireKernelInfo(geometry);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
blur_image=MorphologyApply(image,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% K u w a h a r a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% KuwaharaImage() is an edge preserving noise reduction filter.
%
% The format of the KuwaharaImage method is:
%
% Image *KuwaharaImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickRealType GetMeanLuma(const Image *restrict image,
const double *restrict pixel)
{
if (image->colorspace == GRAYColorspace)
return((MagickRealType) pixel[image->channel_map[GrayPixelChannel].offset]);
return(0.212656f*pixel[image->channel_map[RedPixelChannel].offset]+
0.715158f*pixel[image->channel_map[GreenPixelChannel].offset]+
0.072186f*pixel[image->channel_map[BluePixelChannel].offset]); /* Rec709 */
}
MagickExport Image *KuwaharaImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
#define KuwaharaImageTag "Kuwahara/Image"
CacheView
*image_view[4],
*kuwahara_view;
Image
*gaussian_image,
*kuwahara_image;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
size_t
width;
ssize_t
y;
/*
Initialize kuwahara image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
gaussian_image=BlurImage(image,1.0,sigma,exception);
if (gaussian_image == (Image *) NULL)
return((Image *) NULL);
kuwahara_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (kuwahara_image == (Image *) NULL)
{
gaussian_image=DestroyImage(gaussian_image);
return((Image *) NULL);
}
if (SetImageStorageClass(kuwahara_image,DirectClass,exception) == MagickFalse)
{
gaussian_image=DestroyImage(gaussian_image);
kuwahara_image=DestroyImage(kuwahara_image);
return((Image *) NULL);
}
/*
Edge preserving noise reduction filter.
*/
status=MagickTrue;
progress=0;
width=(size_t) radius+1;
for (i=0; i < 4; i++)
image_view[i]=AcquireVirtualCacheView(gaussian_image,exception);
kuwahara_view=AcquireAuthenticCacheView(kuwahara_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,kuwahara_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(kuwahara_view,0,y,kuwahara_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
const Quantum
*restrict p[4];
double
min_variance,
pixel[MaxPixelChannels];
ssize_t
j;
for (i=0; i < 4; i++)
{
ssize_t
x_offset,
y_offset;
switch (i)
{
case 0:
{
x_offset=x-(ssize_t) (width-1);
y_offset=y-(ssize_t) (width-1);
break;
}
case 1:
{
x_offset=x;
y_offset=y-(ssize_t) (width-1);
break;
}
case 2:
{
x_offset=x-(ssize_t) (width-1);
y_offset=y;
break;
}
case 3:
default:
{
x_offset=x;
y_offset=y;
break;
}
}
p[i]=GetCacheViewVirtualPixels(image_view[i],x_offset,y_offset,
width,width,exception);
if (p[i] == (const Quantum *) NULL)
break;
}
if (i < 4)
{
status=MagickFalse;
break;
}
min_variance=MagickMaximumValue;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
pixel[j]=0.0;
for (i=0; i < 4; i++)
{
const Quantum
*restrict k;
double
mean[MaxPixelChannels],
variance;
ssize_t
z;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
mean[j]=0.0;
k=p[i];
for (z=0; z < (ssize_t) (width*width); z++)
{
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
mean[j]+=(double) k[j];
k+=GetPixelChannels(image);
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
mean[j]/=(double) (width*width);
k=p[i];
variance=0.0;
for (z=0; z < (ssize_t) (width*width); z++)
{
double
luma;
luma=GetPixelLuma(image,k);
variance+=(luma-GetMeanLuma(gaussian_image,mean))*
(luma-GetMeanLuma(gaussian_image,mean));
k+=GetPixelChannels(image);
}
if (variance < min_variance)
{
min_variance=variance;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
pixel[j]=mean[j];
}
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
q[j]=ClampToQuantum(pixel[j]);
q+=GetPixelChannels(kuwahara_image);
}
if (SyncCacheViewAuthenticPixels(kuwahara_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_KuwaharaImage)
#endif
proceed=SetImageProgress(image,KuwaharaImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
kuwahara_view=DestroyCacheView(kuwahara_view);
for (i=0; i < 4; i++)
image_view[i]=DestroyCacheView(image_view[i]);
gaussian_image=DestroyImage(gaussian_image);
if (status == MagickFalse)
kuwahara_image=DestroyImage(kuwahara_image);
return(kuwahara_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o t i o n B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MotionBlurImage() simulates motion blur. We convolve the image with a
% Gaussian operator of the given radius and standard deviation (sigma).
% For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and MotionBlurImage() selects a suitable radius for you.
% Angle gives the angle of the blurring motion.
%
% Andrew Protano contributed this effect.
%
% The format of the MotionBlurImage method is:
%
% Image *MotionBlurImage(const Image *image,const double radius,
% const double sigma,const double angle,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting
% the center pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o angle: Apply the effect along this angle.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickRealType *GetMotionBlurKernel(const size_t width,
const double sigma)
{
MagickRealType
*kernel,
normalize;
register ssize_t
i;
/*
Generate a 1-D convolution kernel.
*/
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
kernel=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory((size_t)
width,sizeof(*kernel)));
if (kernel == (MagickRealType *) NULL)
return(kernel);
normalize=0.0;
for (i=0; i < (ssize_t) width; i++)
{
kernel[i]=(MagickRealType) (exp((-((double) i*i)/(double) (2.0*MagickSigma*
MagickSigma)))/(MagickSQ2PI*MagickSigma));
normalize+=kernel[i];
}
for (i=0; i < (ssize_t) width; i++)
kernel[i]/=normalize;
return(kernel);
}
MagickExport Image *MotionBlurImage(const Image *image,const double radius,
const double sigma,const double angle,ExceptionInfo *exception)
{
#define BlurImageTag "Blur/Image"
CacheView
*blur_view,
*image_view,
*motion_view;
Image
*blur_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickRealType
*kernel;
OffsetInfo
*offset;
PointInfo
point;
register ssize_t
i;
size_t
width;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
width=GetOptimalKernelWidth1D(radius,sigma);
kernel=GetMotionBlurKernel(width,sigma);
if (kernel == (MagickRealType *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
offset=(OffsetInfo *) AcquireQuantumMemory(width,sizeof(*offset));
if (offset == (OffsetInfo *) NULL)
{
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
blur_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (blur_image == (Image *) NULL)
{
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
return((Image *) NULL);
}
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
{
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
point.x=(double) width*sin(DegreesToRadians(angle));
point.y=(double) width*cos(DegreesToRadians(angle));
for (i=0; i < (ssize_t) width; i++)
{
offset[i].x=(ssize_t) ceil((double) (i*point.y)/hypot(point.x,point.y)-0.5);
offset[i].y=(ssize_t) ceil((double) (i*point.x)/hypot(point.x,point.y)-0.5);
}
/*
Motion blur image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
motion_view=AcquireVirtualCacheView(image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
blur_traits,
traits;
register const Quantum
*restrict r;
register MagickRealType
*restrict k;
register ssize_t
j;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
blur_traits=GetPixelChannelTraits(blur_image,channel);
if ((traits == UndefinedPixelTrait) ||
(blur_traits == UndefinedPixelTrait))
continue;
if (((blur_traits & CopyPixelTrait) != 0) ||
(GetPixelReadMask(image,p) == 0))
{
SetPixelChannel(blur_image,channel,p[i],q);
continue;
}
k=kernel;
pixel=0.0;
if ((blur_traits & BlendPixelTrait) == 0)
{
for (j=0; j < (ssize_t) width; j++)
{
r=GetCacheViewVirtualPixels(motion_view,x+offset[j].x,y+
offset[j].y,1,1,exception);
if (r == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
pixel+=(*k)*r[i];
k++;
}
SetPixelChannel(blur_image,channel,ClampToQuantum(pixel),q);
continue;
}
alpha=0.0;
gamma=0.0;
for (j=0; j < (ssize_t) width; j++)
{
r=GetCacheViewVirtualPixels(motion_view,x+offset[j].x,y+offset[j].y,1,
1,exception);
if (r == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
alpha=(double) (QuantumScale*GetPixelAlpha(image,r));
pixel+=(*k)*alpha*r[i];
gamma+=(*k)*alpha;
k++;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(blur_image);
}
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_MotionBlurImage)
#endif
proceed=SetImageProgress(image,BlurImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_view=DestroyCacheView(blur_view);
motion_view=DestroyCacheView(motion_view);
image_view=DestroyCacheView(image_view);
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P r e v i e w I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PreviewImage() tiles 9 thumbnails of the specified image with an image
% processing operation applied with varying parameters. This may be helpful
% pin-pointing an appropriate parameter for a particular image processing
% operation.
%
% The format of the PreviewImages method is:
%
% Image *PreviewImages(const Image *image,const PreviewType preview,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o preview: the image processing operation.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PreviewImage(const Image *image,const PreviewType preview,
ExceptionInfo *exception)
{
#define NumberTiles 9
#define PreviewImageTag "Preview/Image"
#define DefaultPreviewGeometry "204x204+10+10"
char
factor[MaxTextExtent],
label[MaxTextExtent];
double
degrees,
gamma,
percentage,
radius,
sigma,
threshold;
extern const char
DefaultTileFrame[];
Image
*images,
*montage_image,
*preview_image,
*thumbnail;
ImageInfo
*preview_info;
MagickBooleanType
proceed;
MontageInfo
*montage_info;
QuantizeInfo
quantize_info;
RectangleInfo
geometry;
register ssize_t
i,
x;
size_t
colors;
ssize_t
y;
/*
Open output image file.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
colors=2;
degrees=0.0;
gamma=(-0.2f);
preview_info=AcquireImageInfo();
SetGeometry(image,&geometry);
(void) ParseMetaGeometry(DefaultPreviewGeometry,&geometry.x,&geometry.y,
&geometry.width,&geometry.height);
images=NewImageList();
percentage=12.5;
GetQuantizeInfo(&quantize_info);
radius=0.0;
sigma=1.0;
threshold=0.0;
x=0;
y=0;
for (i=0; i < NumberTiles; i++)
{
thumbnail=ThumbnailImage(image,geometry.width,geometry.height,exception);
if (thumbnail == (Image *) NULL)
break;
(void) SetImageProgressMonitor(thumbnail,(MagickProgressMonitor) NULL,
(void *) NULL);
(void) SetImageProperty(thumbnail,"label",DefaultTileLabel,exception);
if (i == (NumberTiles/2))
{
(void) QueryColorCompliance("#dfdfdf",AllCompliance,
&thumbnail->matte_color,exception);
AppendImageToList(&images,thumbnail);
continue;
}
switch (preview)
{
case RotatePreview:
{
degrees+=45.0;
preview_image=RotateImage(thumbnail,degrees,exception);
(void) FormatLocaleString(label,MaxTextExtent,"rotate %g",degrees);
break;
}
case ShearPreview:
{
degrees+=5.0;
preview_image=ShearImage(thumbnail,degrees,degrees,exception);
(void) FormatLocaleString(label,MaxTextExtent,"shear %gx%g",degrees,
2.0*degrees);
break;
}
case RollPreview:
{
x=(ssize_t) ((i+1)*thumbnail->columns)/NumberTiles;
y=(ssize_t) ((i+1)*thumbnail->rows)/NumberTiles;
preview_image=RollImage(thumbnail,x,y,exception);
(void) FormatLocaleString(label,MaxTextExtent,"roll %+.20gx%+.20g",
(double) x,(double) y);
break;
}
case HuePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(factor,MaxTextExtent,"100,100,%g",2.0*
percentage);
(void) ModulateImage(preview_image,factor,exception);
(void) FormatLocaleString(label,MaxTextExtent,"modulate %s",factor);
break;
}
case SaturationPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(factor,MaxTextExtent,"100,%g",2.0*percentage);
(void) ModulateImage(preview_image,factor,exception);
(void) FormatLocaleString(label,MaxTextExtent,"modulate %s",factor);
break;
}
case BrightnessPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(factor,MaxTextExtent,"%g",2.0*percentage);
(void) ModulateImage(preview_image,factor,exception);
(void) FormatLocaleString(label,MaxTextExtent,"modulate %s",factor);
break;
}
case GammaPreview:
default:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
gamma+=0.4f;
(void) GammaImage(preview_image,gamma,exception);
(void) FormatLocaleString(label,MaxTextExtent,"gamma %g",gamma);
break;
}
case SpiffPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image != (Image *) NULL)
for (x=0; x < i; x++)
(void) ContrastImage(preview_image,MagickTrue,exception);
(void) FormatLocaleString(label,MaxTextExtent,"contrast (%.20g)",
(double) i+1);
break;
}
case DullPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
for (x=0; x < i; x++)
(void) ContrastImage(preview_image,MagickFalse,exception);
(void) FormatLocaleString(label,MaxTextExtent,"+contrast (%.20g)",
(double) i+1);
break;
}
case GrayscalePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
colors<<=1;
quantize_info.number_colors=colors;
quantize_info.colorspace=GRAYColorspace;
(void) QuantizeImage(&quantize_info,preview_image,exception);
(void) FormatLocaleString(label,MaxTextExtent,
"-colorspace gray -colors %.20g",(double) colors);
break;
}
case QuantizePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
colors<<=1;
quantize_info.number_colors=colors;
(void) QuantizeImage(&quantize_info,preview_image,exception);
(void) FormatLocaleString(label,MaxTextExtent,"colors %.20g",(double)
colors);
break;
}
case DespecklePreview:
{
for (x=0; x < (i-1); x++)
{
preview_image=DespeckleImage(thumbnail,exception);
if (preview_image == (Image *) NULL)
break;
thumbnail=DestroyImage(thumbnail);
thumbnail=preview_image;
}
preview_image=DespeckleImage(thumbnail,exception);
if (preview_image == (Image *) NULL)
break;
(void) FormatLocaleString(label,MaxTextExtent,"despeckle (%.20g)",
(double) i+1);
break;
}
case ReduceNoisePreview:
{
preview_image=StatisticImage(thumbnail,NonpeakStatistic,(size_t) radius,
(size_t) radius,exception);
(void) FormatLocaleString(label,MaxTextExtent,"noise %g",radius);
break;
}
case AddNoisePreview:
{
switch ((int) i)
{
case 0:
{
(void) CopyMagickString(factor,"uniform",MaxTextExtent);
break;
}
case 1:
{
(void) CopyMagickString(factor,"gaussian",MaxTextExtent);
break;
}
case 2:
{
(void) CopyMagickString(factor,"multiplicative",MaxTextExtent);
break;
}
case 3:
{
(void) CopyMagickString(factor,"impulse",MaxTextExtent);
break;
}
case 5:
{
(void) CopyMagickString(factor,"laplacian",MaxTextExtent);
break;
}
case 6:
{
(void) CopyMagickString(factor,"Poisson",MaxTextExtent);
break;
}
default:
{
(void) CopyMagickString(thumbnail->magick,"NULL",MaxTextExtent);
break;
}
}
preview_image=StatisticImage(thumbnail,NonpeakStatistic,(size_t) i,
(size_t) i,exception);
(void) FormatLocaleString(label,MaxTextExtent,"+noise %s",factor);
break;
}
case SharpenPreview:
{
preview_image=SharpenImage(thumbnail,radius,sigma,exception);
(void) FormatLocaleString(label,MaxTextExtent,"sharpen %gx%g",radius,
sigma);
break;
}
case BlurPreview:
{
preview_image=BlurImage(thumbnail,radius,sigma,exception);
(void) FormatLocaleString(label,MaxTextExtent,"blur %gx%g",radius,
sigma);
break;
}
case ThresholdPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) BilevelImage(thumbnail,(double) (percentage*((double)
QuantumRange+1.0))/100.0,exception);
(void) FormatLocaleString(label,MaxTextExtent,"threshold %g",(double)
(percentage*((double) QuantumRange+1.0))/100.0);
break;
}
case EdgeDetectPreview:
{
preview_image=EdgeImage(thumbnail,radius,exception);
(void) FormatLocaleString(label,MaxTextExtent,"edge %g",radius);
break;
}
case SpreadPreview:
{
preview_image=SpreadImage(thumbnail,radius,thumbnail->interpolate,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"spread %g",radius+0.5);
break;
}
case SolarizePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
(void) SolarizeImage(preview_image,(double) QuantumRange*percentage/
100.0,exception);
(void) FormatLocaleString(label,MaxTextExtent,"solarize %g",
(QuantumRange*percentage)/100.0);
break;
}
case ShadePreview:
{
degrees+=10.0;
preview_image=ShadeImage(thumbnail,MagickTrue,degrees,degrees,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"shade %gx%g",degrees,
degrees);
break;
}
case RaisePreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
geometry.width=(size_t) (2*i+2);
geometry.height=(size_t) (2*i+2);
geometry.x=(i-1)/2;
geometry.y=(i-1)/2;
(void) RaiseImage(preview_image,&geometry,MagickTrue,exception);
(void) FormatLocaleString(label,MaxTextExtent,
"raise %.20gx%.20g%+.20g%+.20g",(double) geometry.width,(double)
geometry.height,(double) geometry.x,(double) geometry.y);
break;
}
case SegmentPreview:
{
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
threshold+=0.4f;
(void) SegmentImage(preview_image,sRGBColorspace,MagickFalse,threshold,
threshold,exception);
(void) FormatLocaleString(label,MaxTextExtent,"segment %gx%g",
threshold,threshold);
break;
}
case SwirlPreview:
{
preview_image=SwirlImage(thumbnail,degrees,image->interpolate,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"swirl %g",degrees);
degrees+=45.0;
break;
}
case ImplodePreview:
{
degrees+=0.1f;
preview_image=ImplodeImage(thumbnail,degrees,image->interpolate,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"implode %g",degrees);
break;
}
case WavePreview:
{
degrees+=5.0f;
preview_image=WaveImage(thumbnail,0.5*degrees,2.0*degrees,
image->interpolate,exception);
(void) FormatLocaleString(label,MaxTextExtent,"wave %gx%g",0.5*degrees,
2.0*degrees);
break;
}
case OilPaintPreview:
{
preview_image=OilPaintImage(thumbnail,(double) radius,(double) sigma,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"charcoal %gx%g",radius,
sigma);
break;
}
case CharcoalDrawingPreview:
{
preview_image=CharcoalImage(thumbnail,(double) radius,(double) sigma,
exception);
(void) FormatLocaleString(label,MaxTextExtent,"charcoal %gx%g",radius,
sigma);
break;
}
case JPEGPreview:
{
char
filename[MaxTextExtent];
int
file;
MagickBooleanType
status;
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
if (preview_image == (Image *) NULL)
break;
preview_info->quality=(size_t) percentage;
(void) FormatLocaleString(factor,MaxTextExtent,"%.20g",(double)
preview_info->quality);
file=AcquireUniqueFileResource(filename);
if (file != -1)
file=close(file)-1;
(void) FormatLocaleString(preview_image->filename,MaxTextExtent,
"jpeg:%s",filename);
status=WriteImage(preview_info,preview_image,exception);
if (status != MagickFalse)
{
Image
*quality_image;
(void) CopyMagickString(preview_info->filename,
preview_image->filename,MaxTextExtent);
quality_image=ReadImage(preview_info,exception);
if (quality_image != (Image *) NULL)
{
preview_image=DestroyImage(preview_image);
preview_image=quality_image;
}
}
(void) RelinquishUniqueFileResource(preview_image->filename);
if ((GetBlobSize(preview_image)/1024) >= 1024)
(void) FormatLocaleString(label,MaxTextExtent,"quality %s\n%gmb ",
factor,(double) ((MagickOffsetType) GetBlobSize(preview_image))/
1024.0/1024.0);
else
if (GetBlobSize(preview_image) >= 1024)
(void) FormatLocaleString(label,MaxTextExtent,
"quality %s\n%gkb ",factor,(double) ((MagickOffsetType)
GetBlobSize(preview_image))/1024.0);
else
(void) FormatLocaleString(label,MaxTextExtent,"quality %s\n%.20gb ",
factor,(double) ((MagickOffsetType) GetBlobSize(thumbnail)));
break;
}
}
thumbnail=DestroyImage(thumbnail);
percentage+=12.5;
radius+=0.5;
sigma+=0.25;
if (preview_image == (Image *) NULL)
break;
(void) DeleteImageProperty(preview_image,"label");
(void) SetImageProperty(preview_image,"label",label,exception);
AppendImageToList(&images,preview_image);
proceed=SetImageProgress(image,PreviewImageTag,(MagickOffsetType) i,
NumberTiles);
if (proceed == MagickFalse)
break;
}
if (images == (Image *) NULL)
{
preview_info=DestroyImageInfo(preview_info);
return((Image *) NULL);
}
/*
Create the montage.
*/
montage_info=CloneMontageInfo(preview_info,(MontageInfo *) NULL);
(void) CopyMagickString(montage_info->filename,image->filename,MaxTextExtent);
montage_info->shadow=MagickTrue;
(void) CloneString(&montage_info->tile,"3x3");
(void) CloneString(&montage_info->geometry,DefaultPreviewGeometry);
(void) CloneString(&montage_info->frame,DefaultTileFrame);
montage_image=MontageImages(images,montage_info,exception);
montage_info=DestroyMontageInfo(montage_info);
images=DestroyImageList(images);
if (montage_image == (Image *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
if (montage_image->montage != (char *) NULL)
{
/*
Free image directory.
*/
montage_image->montage=(char *) RelinquishMagickMemory(
montage_image->montage);
if (image->directory != (char *) NULL)
montage_image->directory=(char *) RelinquishMagickMemory(
montage_image->directory);
}
preview_info=DestroyImageInfo(preview_info);
return(montage_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R o t a t i o n a l B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RotationalBlurImage() applies a radial blur to the image.
%
% Andrew Protano contributed this effect.
%
% The format of the RotationalBlurImage method is:
%
% Image *RotationalBlurImage(const Image *image,const double angle,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o angle: the angle of the radial blur.
%
% o blur: the blur.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *RotationalBlurImage(const Image *image,const double angle,
ExceptionInfo *exception)
{
CacheView
*blur_view,
*image_view,
*radial_view;
Image
*blur_image;
MagickBooleanType
status;
MagickOffsetType
progress;
double
blur_radius,
*cos_theta,
offset,
*sin_theta,
theta;
PointInfo
blur_center;
register ssize_t
i;
size_t
n;
ssize_t
y;
/*
Allocate blur image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
blur_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (blur_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
{
blur_image=DestroyImage(blur_image);
return((Image *) NULL);
}
blur_center.x=(double) (image->columns-1)/2.0;
blur_center.y=(double) (image->rows-1)/2.0;
blur_radius=hypot(blur_center.x,blur_center.y);
n=(size_t) fabs(4.0*DegreesToRadians(angle)*sqrt((double) blur_radius)+2UL);
theta=DegreesToRadians(angle)/(double) (n-1);
cos_theta=(double *) AcquireQuantumMemory((size_t) n,
sizeof(*cos_theta));
sin_theta=(double *) AcquireQuantumMemory((size_t) n,
sizeof(*sin_theta));
if ((cos_theta == (double *) NULL) ||
(sin_theta == (double *) NULL))
{
blur_image=DestroyImage(blur_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
offset=theta*(double) (n-1)/2.0;
for (i=0; i < (ssize_t) n; i++)
{
cos_theta[i]=cos((double) (theta*i-offset));
sin_theta[i]=sin((double) (theta*i-offset));
}
/*
Radial blur image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
radial_view=AcquireVirtualCacheView(image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
radius;
PointInfo
center;
register ssize_t
i;
size_t
step;
center.x=(double) x-blur_center.x;
center.y=(double) y-blur_center.y;
radius=hypot((double) center.x,center.y);
if (radius == 0)
step=1;
else
{
step=(size_t) (blur_radius/radius);
if (step == 0)
step=1;
else
if (step >= n)
step=n-1;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
gamma,
pixel;
PixelChannel
channel;
PixelTrait
blur_traits,
traits;
register const Quantum
*restrict r;
register ssize_t
j;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
blur_traits=GetPixelChannelTraits(blur_image,channel);
if ((traits == UndefinedPixelTrait) ||
(blur_traits == UndefinedPixelTrait))
continue;
if (((blur_traits & CopyPixelTrait) != 0) ||
(GetPixelReadMask(image,p) == 0))
{
SetPixelChannel(blur_image,channel,p[i],q);
continue;
}
gamma=0.0;
pixel=0.0;
if ((blur_traits & BlendPixelTrait) == 0)
{
for (j=0; j < (ssize_t) n; j+=(ssize_t) step)
{
r=GetCacheViewVirtualPixels(radial_view, (ssize_t) (blur_center.x+
center.x*cos_theta[j]-center.y*sin_theta[j]+0.5),(ssize_t)
(blur_center.y+center.x*sin_theta[j]+center.y*cos_theta[j]+0.5),
1,1,exception);
if (r == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
pixel+=r[i];
gamma++;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
continue;
}
for (j=0; j < (ssize_t) n; j+=(ssize_t) step)
{
r=GetCacheViewVirtualPixels(radial_view, (ssize_t) (blur_center.x+
center.x*cos_theta[j]-center.y*sin_theta[j]+0.5),(ssize_t)
(blur_center.y+center.x*sin_theta[j]+center.y*cos_theta[j]+0.5),
1,1,exception);
if (r == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
pixel+=GetPixelAlpha(image,r)*r[i];
gamma+=GetPixelAlpha(image,r);
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(blur_image);
}
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_RotationalBlurImage)
#endif
proceed=SetImageProgress(image,BlurImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_view=DestroyCacheView(blur_view);
radial_view=DestroyCacheView(radial_view);
image_view=DestroyCacheView(image_view);
cos_theta=(double *) RelinquishMagickMemory(cos_theta);
sin_theta=(double *) RelinquishMagickMemory(sin_theta);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e l e c t i v e B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SelectiveBlurImage() selectively blur pixels within a contrast threshold.
% It is similar to the unsharpen mask that sharpens everything with contrast
% above a certain threshold.
%
% The format of the SelectiveBlurImage method is:
%
% Image *SelectiveBlurImage(const Image *image,const double radius,
% const double sigma,const double threshold,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o threshold: only pixels within this contrast threshold are included
% in the blur operation.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SelectiveBlurImage(const Image *image,const double radius,
const double sigma,const double threshold,ExceptionInfo *exception)
{
#define SelectiveBlurImageTag "SelectiveBlur/Image"
CacheView
*blur_view,
*image_view,
*luminance_view;
Image
*blur_image,
*luminance_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickRealType
*kernel;
register ssize_t
i;
size_t
width;
ssize_t
center,
j,
u,
v,
y;
/*
Initialize blur image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
width=GetOptimalKernelWidth1D(radius,sigma);
kernel=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory((size_t)
width,width*sizeof(*kernel)));
if (kernel == (MagickRealType *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
j=(ssize_t) (width-1)/2;
i=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
kernel[i++]=(MagickRealType) (exp(-((double) u*u+v*v)/(2.0*MagickSigma*
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
}
if (image->debug != MagickFalse)
{
char
format[MaxTextExtent],
*message;
register const MagickRealType
*k;
ssize_t
u,
v;
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" SelectiveBlurImage with %.20gx%.20g kernel:",(double) width,(double)
width);
message=AcquireString("");
k=kernel;
for (v=0; v < (ssize_t) width; v++)
{
*message='\0';
(void) FormatLocaleString(format,MaxTextExtent,"%.20g: ",(double) v);
(void) ConcatenateString(&message,format);
for (u=0; u < (ssize_t) width; u++)
{
(void) FormatLocaleString(format,MaxTextExtent,"%+f ",(double) *k++);
(void) ConcatenateString(&message,format);
}
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"%s",message);
}
message=DestroyString(message);
}
blur_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (blur_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
{
blur_image=DestroyImage(blur_image);
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
return((Image *) NULL);
}
luminance_image=CloneImage(image,0,0,MagickTrue,exception);
if (luminance_image == (Image *) NULL)
{
blur_image=DestroyImage(blur_image);
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
return((Image *) NULL);
}
status=TransformImageColorspace(luminance_image,GRAYColorspace,exception);
if (status == MagickFalse)
{
luminance_image=DestroyImage(luminance_image);
blur_image=DestroyImage(blur_image);
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
return((Image *) NULL);
}
/*
Threshold blur image.
*/
status=MagickTrue;
progress=0;
center=(ssize_t) (GetPixelChannels(image)*(image->columns+width)*
((width-1)/2L)+GetPixelChannels(image)*((width-1)/2L));
image_view=AcquireVirtualCacheView(image,exception);
luminance_view=AcquireVirtualCacheView(luminance_image,exception);
blur_view=AcquireAuthenticCacheView(blur_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,blur_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
contrast;
MagickBooleanType
sync;
register const Quantum
*restrict l,
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) (width-1)/2L),y-(ssize_t)
((width-1)/2L),image->columns+width,width,exception);
l=GetCacheViewVirtualPixels(luminance_view,-((ssize_t) (width-1)/2L),y-
(ssize_t) ((width-1)/2L),luminance_image->columns+width,width,exception);
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
intensity;
register ssize_t
i;
intensity=GetPixelIntensity(image,p+center);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
blur_traits,
traits;
register const MagickRealType
*restrict k;
register const Quantum
*restrict luminance_pixels,
*restrict pixels;
register ssize_t
u;
ssize_t
v;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
blur_traits=GetPixelChannelTraits(blur_image,channel);
if ((traits == UndefinedPixelTrait) ||
(blur_traits == UndefinedPixelTrait))
continue;
if (((blur_traits & CopyPixelTrait) != 0) ||
(GetPixelReadMask(image,p+center) == 0))
{
SetPixelChannel(blur_image,channel,p[center+i],q);
continue;
}
k=kernel;
pixel=0.0;
pixels=p;
luminance_pixels=l;
gamma=0.0;
if ((blur_traits & BlendPixelTrait) == 0)
{
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(luminance_image,luminance_pixels)-
intensity;
if (fabs(contrast) < threshold)
{
pixel+=(*k)*pixels[i];
gamma+=(*k);
}
k++;
pixels+=GetPixelChannels(image);
luminance_pixels+=GetPixelChannels(luminance_image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
luminance_pixels+=luminance_image->columns*
GetPixelChannels(luminance_image);
}
if (fabs((double) gamma) < MagickEpsilon)
{
SetPixelChannel(blur_image,channel,p[center+i],q);
continue;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
continue;
}
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
contrast=GetPixelIntensity(image,pixels)-intensity;
if (fabs(contrast) < threshold)
{
alpha=(double) (QuantumScale*GetPixelAlpha(image,pixels));
pixel+=(*k)*alpha*pixels[i];
gamma+=(*k)*alpha;
}
k++;
pixels+=GetPixelChannels(image);
luminance_pixels+=GetPixelChannels(luminance_image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
luminance_pixels+=luminance_image->columns*
GetPixelChannels(luminance_image);
}
if (fabs((double) gamma) < MagickEpsilon)
{
SetPixelChannel(blur_image,channel,p[center+i],q);
continue;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
}
p+=GetPixelChannels(image);
l+=GetPixelChannels(luminance_image);
q+=GetPixelChannels(blur_image);
}
sync=SyncCacheViewAuthenticPixels(blur_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SelectiveBlurImage)
#endif
proceed=SetImageProgress(image,SelectiveBlurImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
blur_image->type=image->type;
blur_view=DestroyCacheView(blur_view);
image_view=DestroyCacheView(image_view);
luminance_image=DestroyImage(luminance_image);
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
if (status == MagickFalse)
blur_image=DestroyImage(blur_image);
return(blur_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a d e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShadeImage() shines a distant light on an image to create a
% three-dimensional effect. You control the positioning of the light with
% azimuth and elevation; azimuth is measured in degrees off the x axis
% and elevation is measured in pixels above the Z axis.
%
% The format of the ShadeImage method is:
%
% Image *ShadeImage(const Image *image,const MagickBooleanType gray,
% const double azimuth,const double elevation,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o gray: A value other than zero shades the intensity of each pixel.
%
% o azimuth, elevation: Define the light source direction.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ShadeImage(const Image *image,const MagickBooleanType gray,
const double azimuth,const double elevation,ExceptionInfo *exception)
{
#define ShadeImageTag "Shade/Image"
CacheView
*image_view,
*shade_view;
Image
*linear_image,
*shade_image;
MagickBooleanType
status;
MagickOffsetType
progress;
PrimaryInfo
light;
ssize_t
y;
/*
Initialize shaded image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
linear_image=CloneImage(image,0,0,MagickTrue,exception);
shade_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if ((linear_image == (Image *) NULL) || (shade_image == (Image *) NULL))
{
if (linear_image != (Image *) NULL)
linear_image=DestroyImage(linear_image);
if (shade_image != (Image *) NULL)
shade_image=DestroyImage(shade_image);
return((Image *) NULL);
}
if (SetImageStorageClass(shade_image,DirectClass,exception) == MagickFalse)
{
linear_image=DestroyImage(linear_image);
shade_image=DestroyImage(shade_image);
return((Image *) NULL);
}
/*
Compute the light vector.
*/
light.x=(double) QuantumRange*cos(DegreesToRadians(azimuth))*
cos(DegreesToRadians(elevation));
light.y=(double) QuantumRange*sin(DegreesToRadians(azimuth))*
cos(DegreesToRadians(elevation));
light.z=(double) QuantumRange*sin(DegreesToRadians(elevation));
/*
Shade image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(linear_image,exception);
shade_view=AcquireAuthenticCacheView(shade_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(linear_image,shade_image,linear_image->rows,1)
#endif
for (y=0; y < (ssize_t) linear_image->rows; y++)
{
double
distance,
normal_distance,
shade;
PrimaryInfo
normal;
register const Quantum
*restrict center,
*restrict p,
*restrict post,
*restrict pre;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-1,y-1,linear_image->columns+2,3,
exception);
q=QueueCacheViewAuthenticPixels(shade_view,0,y,shade_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
/*
Shade this row of pixels.
*/
normal.z=2.0*(double) QuantumRange; /* constant Z of surface normal */
pre=p+GetPixelChannels(linear_image);
center=pre+(linear_image->columns+2)*GetPixelChannels(linear_image);
post=center+(linear_image->columns+2)*GetPixelChannels(linear_image);
for (x=0; x < (ssize_t) linear_image->columns; x++)
{
register ssize_t
i;
/*
Determine the surface normal and compute shading.
*/
normal.x=(double) (
GetPixelIntensity(linear_image,pre-GetPixelChannels(linear_image))+
GetPixelIntensity(linear_image,center-GetPixelChannels(linear_image))+
GetPixelIntensity(linear_image,post-GetPixelChannels(linear_image))-
GetPixelIntensity(linear_image,pre+GetPixelChannels(linear_image))-
GetPixelIntensity(linear_image,center+GetPixelChannels(linear_image))-
GetPixelIntensity(linear_image,post+GetPixelChannels(linear_image)));
normal.y=(double) (
GetPixelIntensity(linear_image,post-GetPixelChannels(linear_image))+
GetPixelIntensity(linear_image,post)+
GetPixelIntensity(linear_image,post+GetPixelChannels(linear_image))-
GetPixelIntensity(linear_image,pre-GetPixelChannels(linear_image))-
GetPixelIntensity(linear_image,pre)-
GetPixelIntensity(linear_image,pre+GetPixelChannels(linear_image)));
if ((normal.x == 0.0) && (normal.y == 0.0))
shade=light.z;
else
{
shade=0.0;
distance=normal.x*light.x+normal.y*light.y+normal.z*light.z;
if (distance > MagickEpsilon)
{
normal_distance=normal.x*normal.x+normal.y*normal.y+
normal.z*normal.z;
if (normal_distance > (MagickEpsilon*MagickEpsilon))
shade=distance/sqrt((double) normal_distance);
}
}
for (i=0; i < (ssize_t) GetPixelChannels(linear_image); i++)
{
PixelChannel
channel;
PixelTrait
shade_traits,
traits;
channel=GetPixelChannelChannel(linear_image,i);
traits=GetPixelChannelTraits(linear_image,channel);
shade_traits=GetPixelChannelTraits(shade_image,channel);
if ((traits == UndefinedPixelTrait) ||
(shade_traits == UndefinedPixelTrait))
continue;
if (((shade_traits & CopyPixelTrait) != 0) ||
(GetPixelReadMask(linear_image,center) == 0))
{
SetPixelChannel(shade_image,channel,center[i],q);
continue;
}
if (gray != MagickFalse)
{
SetPixelChannel(shade_image,channel,ClampToQuantum(shade),q);
continue;
}
SetPixelChannel(shade_image,channel,ClampToQuantum(QuantumScale*shade*
center[i]),q);
}
pre+=GetPixelChannels(linear_image);
center+=GetPixelChannels(linear_image);
post+=GetPixelChannels(linear_image);
q+=GetPixelChannels(shade_image);
}
if (SyncCacheViewAuthenticPixels(shade_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ShadeImage)
#endif
proceed=SetImageProgress(image,ShadeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
shade_view=DestroyCacheView(shade_view);
image_view=DestroyCacheView(image_view);
linear_image=DestroyImage(linear_image);
if (status == MagickFalse)
shade_image=DestroyImage(shade_image);
return(shade_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a r p e n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SharpenImage() sharpens the image. We convolve the image with a Gaussian
% operator of the given radius and standard deviation (sigma). For
% reasonable results, radius should be larger than sigma. Use a radius of 0
% and SharpenImage() selects a suitable radius for you.
%
% Using a separable kernel would be faster, but the negative weights cancel
% out on the corners of the kernel producing often undesirable ringing in the
% filtered result; this can be avoided by using a 2D gaussian shaped image
% sharpening kernel instead.
%
% The format of the SharpenImage method is:
%
% Image *SharpenImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Laplacian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SharpenImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
double
gamma,
normalize;
Image
*sharp_image;
KernelInfo
*kernel_info;
register ssize_t
i;
size_t
width;
ssize_t
j,
u,
v;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
width=GetOptimalKernelWidth2D(radius,sigma);
kernel_info=AcquireKernelInfo((const char *) NULL);
if (kernel_info == (KernelInfo *) NULL)
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
(void) ResetMagickMemory(kernel_info,0,sizeof(*kernel_info));
kernel_info->width=width;
kernel_info->height=width;
kernel_info->x=(ssize_t) (width-1)/2;
kernel_info->y=(ssize_t) (width-1)/2;
kernel_info->signature=MagickSignature;
kernel_info->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel_info->width,kernel_info->height*
sizeof(*kernel_info->values)));
if (kernel_info->values == (MagickRealType *) NULL)
{
kernel_info=DestroyKernelInfo(kernel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
normalize=0.0;
j=(ssize_t) (kernel_info->width-1)/2;
i=0;
for (v=(-j); v <= j; v++)
{
for (u=(-j); u <= j; u++)
{
kernel_info->values[i]=(MagickRealType) (-exp(-((double) u*u+v*v)/(2.0*
MagickSigma*MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
normalize+=kernel_info->values[i];
i++;
}
}
kernel_info->values[i/2]=(double) ((-2.0)*normalize);
normalize=0.0;
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
normalize+=kernel_info->values[i];
gamma=PerceptibleReciprocal(normalize);
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
kernel_info->values[i]*=gamma;
sharp_image=MorphologyApply(image,ConvolveMorphology,1,kernel_info,
UndefinedCompositeOp,0.0,exception);
kernel_info=DestroyKernelInfo(kernel_info);
return(sharp_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S p r e a d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SpreadImage() is a special effects method that randomly displaces each
% pixel in a block defined by the radius parameter.
%
% The format of the SpreadImage method is:
%
% Image *SpreadImage(const Image *image,const double radius,
% const PixelInterpolateMethod method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: choose a random pixel in a neighborhood of this extent.
%
% o method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SpreadImage(const Image *image,const double radius,
const PixelInterpolateMethod method,ExceptionInfo *exception)
{
#define SpreadImageTag "Spread/Image"
CacheView
*image_view,
*spread_view;
Image
*spread_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RandomInfo
**restrict random_info;
size_t
width;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
/*
Initialize spread image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
spread_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (spread_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(spread_image,DirectClass,exception) == MagickFalse)
{
spread_image=DestroyImage(spread_image);
return((Image *) NULL);
}
/*
Spread image.
*/
status=MagickTrue;
progress=0;
width=GetOptimalKernelWidth1D(radius,0.5);
random_info=AcquireRandomInfoThreadSet();
image_view=AcquireVirtualCacheView(image,exception);
spread_view=AcquireAuthenticCacheView(spread_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,spread_image,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(spread_view,0,y,spread_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
PointInfo
point;
point.x=GetPseudoRandomValue(random_info[id]);
point.y=GetPseudoRandomValue(random_info[id]);
status=InterpolatePixelChannels(image,image_view,spread_image,method,
(double) x+width*point.x-0.5,(double) y+width*point.y-0.5,q,exception);
q+=GetPixelChannels(spread_image);
}
if (SyncCacheViewAuthenticPixels(spread_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SpreadImage)
#endif
proceed=SetImageProgress(image,SpreadImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
spread_view=DestroyCacheView(spread_view);
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
spread_image=DestroyImage(spread_image);
return(spread_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U n s h a r p M a s k I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UnsharpMaskImage() sharpens one or more image channels. We convolve the
% image with a Gaussian operator of the given radius and standard deviation
% (sigma). For reasonable results, radius should be larger than sigma. Use a
% radius of 0 and UnsharpMaskImage() selects a suitable radius for you.
%
% The format of the UnsharpMaskImage method is:
%
% Image *UnsharpMaskImage(const Image *image,const double radius,
% const double sigma,const double amount,const double threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the Gaussian, in pixels, not counting the center
% pixel.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o gain: the percentage of the difference between the original and the
% blur image that is added back into the original.
%
% o threshold: the threshold in pixels needed to apply the diffence gain.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *UnsharpMaskImage(const Image *image,const double radius,
const double sigma,const double gain,const double threshold,
ExceptionInfo *exception)
{
#define SharpenImageTag "Sharpen/Image"
CacheView
*image_view,
*unsharp_view;
Image
*unsharp_image;
MagickBooleanType
status;
MagickOffsetType
progress;
double
quantum_threshold;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
unsharp_image=BlurImage(image,radius,sigma,exception);
if (unsharp_image == (Image *) NULL)
return((Image *) NULL);
quantum_threshold=(double) QuantumRange*threshold;
/*
Unsharp-mask image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
unsharp_view=AcquireAuthenticCacheView(unsharp_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,unsharp_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(unsharp_view,0,y,unsharp_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
pixel;
PixelChannel
channel;
PixelTrait
traits,
unsharp_traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
unsharp_traits=GetPixelChannelTraits(unsharp_image,channel);
if ((traits == UndefinedPixelTrait) ||
(unsharp_traits == UndefinedPixelTrait))
continue;
if (((unsharp_traits & CopyPixelTrait) != 0) ||
(GetPixelReadMask(image,p) == 0))
{
SetPixelChannel(unsharp_image,channel,p[i],q);
continue;
}
pixel=p[i]-(double) GetPixelChannel(unsharp_image,channel,q);
if (fabs(2.0*pixel) < quantum_threshold)
pixel=(double) p[i];
else
pixel=(double) p[i]+gain*pixel;
SetPixelChannel(unsharp_image,channel,ClampToQuantum(pixel),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(unsharp_image);
}
if (SyncCacheViewAuthenticPixels(unsharp_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_UnsharpMaskImage)
#endif
proceed=SetImageProgress(image,SharpenImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
unsharp_image->type=image->type;
unsharp_view=DestroyCacheView(unsharp_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
unsharp_image=DestroyImage(unsharp_image);
return(unsharp_image);
}
|
GB_binop__first_uint32.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__first_uint32
// A.*B function (eWiseMult): GB_AemultB__first_uint32
// A*D function (colscale): GB_AxD__first_uint32
// D*A function (rowscale): GB_DxB__first_uint32
// C+=B function (dense accum): GB_Cdense_accumB__first_uint32
// C+=b function (dense accum): GB_Cdense_accumb__first_uint32
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__first_uint32
// C=scalar+B GB_bind1st__first_uint32
// C=scalar+B' GB_bind1st_tran__first_uint32
// C=A+scalar (none)
// C=A'+scalar (none)
// C type: uint32_t
// A type: uint32_t
// B,b type: uint32_t
// BinaryOp: cij = aij
#define GB_ATYPE \
uint32_t
#define GB_BTYPE \
uint32_t
#define GB_CTYPE \
uint32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint32_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
;
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint32_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = x ;
// 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_FIRST || GxB_NO_UINT32 || GxB_NO_FIRST_UINT32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__first_uint32
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__first_uint32
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__first_uint32
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type uint32_t
uint32_t bwork = (*((uint32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__first_uint32
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *GB_RESTRICT Cx = (uint32_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__first_uint32
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *GB_RESTRICT Cx = (uint32_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
#undef GB_FREE_ALL
#define GB_FREE_ALL \
{ \
GB_ek_slice_free (&pstart_Mslice, &kfirst_Mslice, &klast_Mslice) ; \
GB_ek_slice_free (&pstart_Aslice, &kfirst_Aslice, &klast_Aslice) ; \
GB_ek_slice_free (&pstart_Bslice, &kfirst_Bslice, &klast_Bslice) ; \
}
GrB_Info GB_AaddB__first_uint32
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_add_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__first_uint32
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__first_uint32
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *GB_RESTRICT Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t x = (*((uint32_t *) x_input)) ;
uint32_t *Bx = (uint32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
; ;
Cx [p] = x ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info (none)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *GB_RESTRICT Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t *Ax = (uint32_t *) Ax_input ;
uint32_t y = (*((uint32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint32_t aij = Ax [p] ;
Cx [p] = aij ;
}
return (GrB_SUCCESS) ;
#endif
}
#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) \
{ \
; ; \
Cx [pC] = x ; \
}
GrB_Info GB_bind1st_tran__first_uint32
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t x = (*((const uint32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint32_t aij = Ax [pA] ; \
Cx [pC] = aij ; \
}
GrB_Info (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t y = (*((const uint32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
GB_binop__gt_uint64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__gt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_08__gt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_02__gt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_04__gt_uint64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__gt_uint64)
// A*D function (colscale): GB (_AxD__gt_uint64)
// D*A function (rowscale): GB (_DxB__gt_uint64)
// C+=B function (dense accum): GB (_Cdense_accumB__gt_uint64)
// C+=b function (dense accum): GB (_Cdense_accumb__gt_uint64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__gt_uint64)
// C=scalar+B GB (_bind1st__gt_uint64)
// C=scalar+B' GB (_bind1st_tran__gt_uint64)
// C=A+scalar GB (_bind2nd__gt_uint64)
// C=A'+scalar GB (_bind2nd_tran__gt_uint64)
// C type: bool
// A type: uint64_t
// A pattern? 0
// B type: uint64_t
// B pattern? 0
// BinaryOp: cij = (aij > bij)
#define GB_ATYPE \
uint64_t
#define GB_BTYPE \
uint64_t
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint64_t aij = GBX (Ax, pA, A_iso)
// 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) \
uint64_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x > y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_GT || GxB_NO_UINT64 || GxB_NO_GT_UINT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__gt_uint64)
(
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__gt_uint64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__gt_uint64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type uint64_t
uint64_t bwork = (*((uint64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__gt_uint64)
(
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__gt_uint64)
(
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__gt_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool 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) ;
uint64_t alpha_scalar ;
uint64_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((uint64_t *) alpha_scalar_in)) ;
beta_scalar = (*((uint64_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__gt_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__gt_uint64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__gt_uint64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__gt_uint64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__gt_uint64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
uint64_t x = (*((uint64_t *) x_input)) ;
uint64_t *Bx = (uint64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint64_t bij = GBX (Bx, p, false) ;
Cx [p] = (x > bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__gt_uint64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
uint64_t *Ax = (uint64_t *) Ax_input ;
uint64_t y = (*((uint64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint64_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij > y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x > aij) ; \
}
GrB_Info GB (_bind1st_tran__gt_uint64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t x = (*((const uint64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij > y) ; \
}
GrB_Info GB (_bind2nd_tran__gt_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t y = (*((const uint64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
convolution_sgemm_int8.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void im2col_sgemm_int8_neon(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt)
{
// 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 __ARM_NEON
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
if (inch >= 8)
{
if (size >= 16)
tmp.create(16 * maxk, inch / 8 + inch % 8, size / 16 + (size % 16) / 8 + (size % 8) / 4 + (size % 4) / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else if (size >= 8)
tmp.create(8 * maxk, inch / 8 + inch % 8, size / 8 + (size % 8) / 4 + (size % 4) / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else if (size >= 4)
tmp.create(4 * maxk, inch / 8 + inch % 8, size / 4 + (size % 4) / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else if (size >= 2)
tmp.create(2 * maxk, inch / 8 + inch % 8, size / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else
tmp.create(maxk, inch / 8 + inch % 8, size, 8u, 8, opt.workspace_allocator);
}
else
{
if (size >= 16)
tmp.create(16 * maxk, inch, size / 16 + (size % 16) / 8 + (size % 8) / 4 + (size % 4) / 2 + size % 2, 1u, 1, opt.workspace_allocator);
else if (size >= 8)
tmp.create(8 * maxk, inch, size / 8 + (size % 8) / 4 + (size % 4) / 2 + size % 2, 1u, 1, opt.workspace_allocator);
else 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, 8u, 1, opt.workspace_allocator);
}
#else // __ARM_FEATURE_DOTPROD
if (inch >= 8)
{
if (size >= 4)
tmp.create(4 * maxk, inch / 8 + inch % 8, size / 4 + (size % 4) / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else if (size >= 2)
tmp.create(2 * maxk, inch / 8 + inch % 8, size / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else
tmp.create(maxk, inch / 8 + inch % 8, size, 8u, 8, opt.workspace_allocator);
}
else
{
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);
}
#endif // __ARM_FEATURE_DOTPROD
#else // __aarch64__
if (inch >= 8)
{
if (size >= 2)
tmp.create(2 * maxk, inch / 8 + inch % 8, size / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else
tmp.create(maxk, inch / 8 + inch % 8, size, 8u, 8, 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 // __aarch64__
{
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
int nn_size = size >> 4;
int remain_size_start = 0;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 16;
signed char* tmpptr = tmp.channel(i / 16);
int q = 0;
for (; q + 7 < inch; q += 8)
{
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;
const signed char* img4 = (const signed char*)bottom_im2col.channel(q + 4) + i;
const signed char* img5 = (const signed char*)bottom_im2col.channel(q + 5) + i;
const signed char* img6 = (const signed char*)bottom_im2col.channel(q + 6) + i;
const signed char* img7 = (const signed char*)bottom_im2col.channel(q + 7) + i;
for (int k = 0; k < maxk; k++)
{
asm volatile(
"ld1 {v0.16b}, [%0] \n"
"ld1 {v1.16b}, [%1] \n"
"ld1 {v2.16b}, [%2] \n"
"ld1 {v3.16b}, [%3] \n"
"ld1 {v4.16b}, [%4] \n"
"ld1 {v5.16b}, [%5] \n"
"ld1 {v6.16b}, [%6] \n"
"ld1 {v7.16b}, [%7] \n"
"st4 {v0.16b, v1.16b, v2.16b, v3.16b}, [%8], #64 \n"
"st4 {v4.16b, v5.16b, v6.16b, v7.16b}, [%8], #64 \n"
: "=r"(img0), // %0
"=r"(img1),
"=r"(img2),
"=r"(img3),
"=r"(img4),
"=r"(img5),
"=r"(img6),
"=r"(img7),
"=r"(tmpptr) // %8
: "0"(img0),
"1"(img1),
"2"(img2),
"3"(img3),
"4"(img4),
"5"(img5),
"6"(img6),
"7"(img7),
"8"(tmpptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7");
img0 += size;
img1 += size;
img2 += size;
img3 += size;
img4 += size;
img5 += size;
img6 += size;
img7 += size;
}
}
for (; q < inch; q++)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
asm volatile(
"prfm pldl1keep, [%0, #128] \n"
"ld1 {v0.16b}, [%0] \n"
"st1 {v0.16b}, [%1], #16 \n"
: "=r"(img0), // %0
"=r"(tmpptr) // %1
: "0"(img0),
"1"(tmpptr)
: "memory", "v0");
img0 += size;
}
}
}
remain_size_start += nn_size << 4;
nn_size = (size - remain_size_start) >> 3;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 8;
signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8);
int q = 0;
for (; q + 7 < inch; q += 8)
{
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;
const signed char* img4 = (const signed char*)bottom_im2col.channel(q + 4) + i;
const signed char* img5 = (const signed char*)bottom_im2col.channel(q + 5) + i;
const signed char* img6 = (const signed char*)bottom_im2col.channel(q + 6) + i;
const signed char* img7 = (const signed char*)bottom_im2col.channel(q + 7) + i;
for (int k = 0; k < maxk; k++)
{
asm volatile(
"ld1 {v0.8b}, [%0] \n"
"ld1 {v1.8b}, [%1] \n"
"ld1 {v2.8b}, [%2] \n"
"ld1 {v3.8b}, [%3] \n"
"ld1 {v4.8b}, [%4] \n"
"ld1 {v5.8b}, [%5] \n"
"ld1 {v6.8b}, [%6] \n"
"ld1 {v7.8b}, [%7] \n"
"st4 {v0.8b, v1.8b, v2.8b, v3.8b}, [%8], #32 \n"
"st4 {v4.8b, v5.8b, v6.8b, v7.8b}, [%8], #32 \n"
: "=r"(img0), // %0
"=r"(img1),
"=r"(img2),
"=r"(img3),
"=r"(img4),
"=r"(img5),
"=r"(img6),
"=r"(img7),
"=r"(tmpptr) // %8
: "0"(img0),
"1"(img1),
"2"(img2),
"3"(img3),
"4"(img4),
"5"(img5),
"6"(img6),
"7"(img7),
"8"(tmpptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7");
img0 += size;
img1 += size;
img2 += size;
img3 += size;
img4 += size;
img5 += size;
img6 += size;
img7 += size;
}
}
for (; q < inch; q++)
{
const signed char* img0 = (const signed char*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
asm volatile(
"prfm pldl1keep, [%0, #64] \n"
"ld1 {v0.8b}, [%0] \n"
"st1 {v0.8b}, [%1], #8 \n"
: "=r"(img0), // %0
"=r"(tmpptr) // %1
: "0"(img0),
"1"(tmpptr)
: "memory", "v0");
img0 += size;
}
}
}
remain_size_start += nn_size << 3;
nn_size = (size - remain_size_start) >> 2;
#else // __ARM_FEATURE_DOTPROD
int remain_size_start = 0;
int nn_size = (size - remain_size_start) >> 2;
#endif // __ARM_FEATURE_DOTPROD
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 4;
#if __ARM_FEATURE_DOTPROD
signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4);
#else
signed char* tmpptr = tmp.channel(i / 4);
#endif
int q = 0;
for (; q + 7 < inch; q += 8)
{
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;
const signed char* img4 = (const signed char*)bottom_im2col.channel(q + 4) + i;
const signed char* img5 = (const signed char*)bottom_im2col.channel(q + 5) + i;
const signed char* img6 = (const signed char*)bottom_im2col.channel(q + 6) + i;
const signed char* img7 = (const signed char*)bottom_im2col.channel(q + 7) + i;
for (int k = 0; k < maxk; k++)
{
#if __ARM_FEATURE_DOTPROD
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;
tmpptr[0] = img0[2];
tmpptr[1] = img1[2];
tmpptr[2] = img2[2];
tmpptr[3] = img3[2];
tmpptr[4] = img0[3];
tmpptr[5] = img1[3];
tmpptr[6] = img2[3];
tmpptr[7] = img3[3];
tmpptr += 8;
tmpptr[0] = img4[0];
tmpptr[1] = img5[0];
tmpptr[2] = img6[0];
tmpptr[3] = img7[0];
tmpptr[4] = img4[1];
tmpptr[5] = img5[1];
tmpptr[6] = img6[1];
tmpptr[7] = img7[1];
tmpptr += 8;
tmpptr[0] = img4[2];
tmpptr[1] = img5[2];
tmpptr[2] = img6[2];
tmpptr[3] = img7[2];
tmpptr[4] = img4[3];
tmpptr[5] = img5[3];
tmpptr[6] = img6[3];
tmpptr[7] = img7[3];
tmpptr += 8;
#else
tmpptr[0] = img0[0];
tmpptr[1] = img1[0];
tmpptr[2] = img2[0];
tmpptr[3] = img3[0];
tmpptr[4] = img4[0];
tmpptr[5] = img5[0];
tmpptr[6] = img6[0];
tmpptr[7] = img7[0];
tmpptr += 8;
tmpptr[0] = img0[1];
tmpptr[1] = img1[1];
tmpptr[2] = img2[1];
tmpptr[3] = img3[1];
tmpptr[4] = img4[1];
tmpptr[5] = img5[1];
tmpptr[6] = img6[1];
tmpptr[7] = img7[1];
tmpptr += 8;
tmpptr[0] = img0[2];
tmpptr[1] = img1[2];
tmpptr[2] = img2[2];
tmpptr[3] = img3[2];
tmpptr[4] = img4[2];
tmpptr[5] = img5[2];
tmpptr[6] = img6[2];
tmpptr[7] = img7[2];
tmpptr += 8;
tmpptr[0] = img0[3];
tmpptr[1] = img1[3];
tmpptr[2] = img2[3];
tmpptr[3] = img3[3];
tmpptr[4] = img4[3];
tmpptr[5] = img5[3];
tmpptr[6] = img6[3];
tmpptr[7] = img7[3];
tmpptr += 8;
#endif // __ARM_FEATURE_DOTPROD
img0 += size;
img1 += size;
img2 += size;
img3 += size;
img4 += size;
img5 += size;
img6 += size;
img7 += 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 __aarch64__
#if __ARM_FEATURE_DOTPROD
signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4 + (i % 4) / 2);
#else
signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2);
#endif
#else
signed char* tmpptr = tmp.channel(i / 2);
#endif
int q = 0;
for (; q + 7 < inch; q += 8)
{
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;
const signed char* img4 = (const signed char*)bottom_im2col.channel(q + 4) + i;
const signed char* img5 = (const signed char*)bottom_im2col.channel(q + 5) + i;
const signed char* img6 = (const signed char*)bottom_im2col.channel(q + 6) + i;
const signed char* img7 = (const signed char*)bottom_im2col.channel(q + 7) + i;
for (int k = 0; k < maxk; k++)
{
#if __ARM_FEATURE_DOTPROD
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;
tmpptr[0] = img4[0];
tmpptr[1] = img5[0];
tmpptr[2] = img6[0];
tmpptr[3] = img7[0];
tmpptr[4] = img4[1];
tmpptr[5] = img5[1];
tmpptr[6] = img6[1];
tmpptr[7] = img7[1];
tmpptr += 8;
#else
tmpptr[0] = img0[0];
tmpptr[1] = img1[0];
tmpptr[2] = img2[0];
tmpptr[3] = img3[0];
tmpptr[4] = img4[0];
tmpptr[5] = img5[0];
tmpptr[6] = img6[0];
tmpptr[7] = img7[0];
tmpptr += 8;
tmpptr[0] = img0[1];
tmpptr[1] = img1[1];
tmpptr[2] = img2[1];
tmpptr[3] = img3[1];
tmpptr[4] = img4[1];
tmpptr[5] = img5[1];
tmpptr[6] = img6[1];
tmpptr[7] = img7[1];
tmpptr += 8;
#endif // __ARM_FEATURE_DOTPROD
img0 += size;
img1 += size;
img2 += size;
img3 += size;
img4 += size;
img5 += size;
img6 += size;
img7 += 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 __aarch64__
#if __ARM_FEATURE_DOTPROD
signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4 + (i % 4) / 2 + i % 2);
#else
signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2 + i % 2);
#endif
#else
signed char* tmpptr = tmp.channel(i / 2 + i % 2);
#endif
int q = 0;
for (; q + 7 < inch; q += 8)
{
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;
const signed char* img4 = (const signed char*)bottom_im2col.channel(q + 4) + i;
const signed char* img5 = (const signed char*)bottom_im2col.channel(q + 5) + i;
const signed char* img6 = (const signed char*)bottom_im2col.channel(q + 6) + i;
const signed char* img7 = (const signed char*)bottom_im2col.channel(q + 7) + 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] = img4[0];
tmpptr[5] = img5[0];
tmpptr[6] = img6[0];
tmpptr[7] = img7[0];
tmpptr += 8;
img0 += size;
img1 += size;
img2 += size;
img3 += size;
img4 += size;
img5 += size;
img6 += size;
img7 += 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;
}
}
}
}
#else // __ARM_NEON
tmp.create(maxk, inch, size, 1u, 1, opt.workspace_allocator);
{
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < size; i++)
{
signed char* tmpptr = tmp.channel(i);
int q = 0;
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;
}
}
}
}
#endif // __ARM_NEON
int nn_outch = 0;
int remain_outch_start = 0;
#if __ARM_NEON
nn_outch = outch >> 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp = 0; pp < nn_outch; pp++)
{
int p = pp * 4;
int* outptr0 = top_blob.channel(p);
int* outptr1 = top_blob.channel(p + 1);
int* outptr2 = top_blob.channel(p + 2);
int* outptr3 = top_blob.channel(p + 3);
int i = 0;
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
for (; i + 15 < size; i += 16)
{
const signed char* tmpptr = tmp.channel(i / 16);
const signed char* kptr0 = kernel.channel(p / 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
asm volatile(
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"eor v24.16b, v24.16b, v24.16b \n"
"eor v25.16b, v25.16b, v25.16b \n"
"eor v26.16b, v26.16b, v26.16b \n"
"eor v27.16b, v27.16b, v27.16b \n"
"eor v28.16b, v28.16b, v28.16b \n"
"eor v29.16b, v29.16b, v29.16b \n"
"eor v30.16b, v30.16b, v30.16b \n"
"eor v31.16b, v31.16b, v31.16b \n"
"cmp %w4, #0 \n"
"beq 1f \n"
"ld1 {v8.16b}, [%7], #16 \n" // _w0123_l
"ld1 {v0.16b}, [%6], #16 \n" // _val0123_l
"0: \n"
"ld1 {v1.16b}, [%6], #16 \n" // _val4567_l
"sdot v16.4s, v8.16b, v0.4b[0] \n"
"sdot v17.4s, v8.16b, v0.4b[1] \n"
"sdot v18.4s, v8.16b, v0.4b[2] \n"
"sdot v19.4s, v8.16b, v0.4b[3] \n"
"ld1 {v2.16b}, [%6], #16 \n" // _val891011_l
"sdot v20.4s, v8.16b, v1.4b[0] \n"
"sdot v21.4s, v8.16b, v1.4b[1] \n"
"sdot v22.4s, v8.16b, v1.4b[2] \n"
"sdot v23.4s, v8.16b, v1.4b[3] \n"
"ld1 {v3.16b}, [%6], #16 \n" // _val12131415_l
"sdot v24.4s, v8.16b, v2.4b[0] \n"
"sdot v25.4s, v8.16b, v2.4b[1] \n"
"ld1 {v9.16b}, [%7], #16 \n" // _w0123_h
"sdot v26.4s, v8.16b, v2.4b[2] \n"
"sdot v27.4s, v8.16b, v2.4b[3] \n"
"ld1 {v4.16b}, [%6], #16 \n" // _val0123_h
"sdot v28.4s, v8.16b, v3.4b[0] \n"
"sdot v29.4s, v8.16b, v3.4b[1] \n"
"sdot v30.4s, v8.16b, v3.4b[2] \n"
"sdot v31.4s, v8.16b, v3.4b[3] \n"
"ld1 {v5.16b}, [%6], #16 \n" // _val4567_h
"sdot v16.4s, v9.16b, v4.4b[0] \n"
"sdot v17.4s, v9.16b, v4.4b[1] \n"
"sdot v18.4s, v9.16b, v4.4b[2] \n"
"sdot v19.4s, v9.16b, v4.4b[3] \n"
"ld1 {v6.16b}, [%6], #16 \n" // _val891011_h
"sdot v20.4s, v9.16b, v5.4b[0] \n"
"sdot v21.4s, v9.16b, v5.4b[1] \n"
"sdot v22.4s, v9.16b, v5.4b[2] \n"
"sdot v23.4s, v9.16b, v5.4b[3] \n"
"ld1 {v7.16b}, [%6], #16 \n" // _val12131415_h
"sdot v24.4s, v9.16b, v6.4b[0] \n"
"sdot v25.4s, v9.16b, v6.4b[1] \n"
"ld1 {v8.16b}, [%7], #16 \n" // _w0123_l
"sdot v26.4s, v9.16b, v6.4b[2] \n"
"sdot v27.4s, v9.16b, v6.4b[3] \n"
"ld1 {v0.16b}, [%6], #16 \n" // _val0123_l
"sdot v28.4s, v9.16b, v7.4b[0] \n"
"sdot v29.4s, v9.16b, v7.4b[1] \n"
"subs %w4, %w4, #1 \n"
"sdot v30.4s, v9.16b, v7.4b[2] \n"
"sdot v31.4s, v9.16b, v7.4b[3] \n"
"bne 0b \n"
"sub %6, %6, #16 \n"
"sub %7, %7, #16 \n"
"1: \n"
"lsr w4, %w5, #2 \n" // w4 = nn1 >> 2
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"ld1 {v8.8b, v9.8b}, [%7], #16 \n"
"ld4 {v0.16b, v1.16b, v2.16b, v3.16b}, [%6], #64 \n"
"uzp1 v10.8b, v8.8b, v9.8b \n"
"uzp2 v11.8b, v8.8b, v9.8b \n"
"uzp1 v4.16b, v0.16b, v1.16b \n"
"uzp2 v5.16b, v0.16b, v1.16b \n"
"uzp1 v6.16b, v2.16b, v3.16b \n"
"uzp2 v7.16b, v2.16b, v3.16b \n"
"uzp1 v8.8b, v10.8b, v11.8b \n"
"uzp2 v9.8b, v10.8b, v11.8b \n"
"uzp1 v0.16b, v4.16b, v5.16b \n" // 0 1 4 5
"uzp2 v1.16b, v4.16b, v5.16b \n" // 8 9 c d
"mov v8.d[1], v9.d[0] \n" // _w
"uzp1 v2.16b, v6.16b, v7.16b \n" // 2 3 6 7
"uzp2 v3.16b, v6.16b, v7.16b \n" // a b e f
"sdot v16.4s, v8.16b, v0.4b[0] \n"
"sdot v17.4s, v8.16b, v0.4b[1] \n"
"sdot v18.4s, v8.16b, v2.4b[0] \n"
"sdot v19.4s, v8.16b, v2.4b[1] \n"
"sdot v20.4s, v8.16b, v0.4b[2] \n"
"sdot v21.4s, v8.16b, v0.4b[3] \n"
"sdot v22.4s, v8.16b, v2.4b[2] \n"
"sdot v23.4s, v8.16b, v2.4b[3] \n"
"sdot v24.4s, v8.16b, v1.4b[0] \n"
"sdot v25.4s, v8.16b, v1.4b[1] \n"
"sdot v26.4s, v8.16b, v3.4b[0] \n"
"sdot v27.4s, v8.16b, v3.4b[1] \n"
"sdot v28.4s, v8.16b, v1.4b[2] \n"
"sdot v29.4s, v8.16b, v1.4b[3] \n"
"sdot v30.4s, v8.16b, v3.4b[2] \n"
"sdot v31.4s, v8.16b, v3.4b[3] \n"
"subs w4, w4, #1 \n"
"bne 2b \n"
"3: \n"
"and w4, %w5, #3 \n" // w4 = remain = nn1 & 3
"cmp w4, #0 \n" // w4 > 0
"beq 5f \n"
"4: \n"
"ld1 {v1.8b}, [%7] \n"
"ld1 {v0.16b}, [%6] \n"
"sshll v1.8h, v1.8b, #0 \n"
"sshll v2.8h, v0.8b, #0 \n"
"sshll2 v3.8h, v0.16b, #0 \n"
"smlal v16.4s, v1.4h, v2.h[0] \n"
"smlal v17.4s, v1.4h, v2.h[1] \n"
"smlal v18.4s, v1.4h, v2.h[2] \n"
"smlal v19.4s, v1.4h, v2.h[3] \n"
"smlal v20.4s, v1.4h, v2.h[4] \n"
"smlal v21.4s, v1.4h, v2.h[5] \n"
"smlal v22.4s, v1.4h, v2.h[6] \n"
"smlal v23.4s, v1.4h, v2.h[7] \n"
"smlal v24.4s, v1.4h, v3.h[0] \n"
"smlal v25.4s, v1.4h, v3.h[1] \n"
"smlal v26.4s, v1.4h, v3.h[2] \n"
"smlal v27.4s, v1.4h, v3.h[3] \n"
"smlal v28.4s, v1.4h, v3.h[4] \n"
"smlal v29.4s, v1.4h, v3.h[5] \n"
"smlal v30.4s, v1.4h, v3.h[6] \n"
"smlal v31.4s, v1.4h, v3.h[7] \n"
"add %6, %6, #16 \n"
"add %7, %7, #4 \n"
"subs w4, w4, #1 \n"
"bne 4b \n"
"5: \n"
// transpose 4x16
"trn1 v0.4s, v16.4s, v17.4s \n"
"trn2 v1.4s, v16.4s, v17.4s \n"
"trn1 v2.4s, v18.4s, v19.4s \n"
"trn2 v3.4s, v18.4s, v19.4s \n"
"trn1 v4.4s, v20.4s, v21.4s \n"
"trn2 v5.4s, v20.4s, v21.4s \n"
"trn1 v6.4s, v22.4s, v23.4s \n"
"trn2 v7.4s, v22.4s, v23.4s \n"
"trn1 v8.4s, v24.4s, v25.4s \n"
"trn2 v9.4s, v24.4s, v25.4s \n"
"trn1 v10.4s, v26.4s, v27.4s \n"
"trn2 v11.4s, v26.4s, v27.4s \n"
"trn1 v12.4s, v28.4s, v29.4s \n"
"trn2 v13.4s, v28.4s, v29.4s \n"
"trn1 v14.4s, v30.4s, v31.4s \n"
"trn2 v15.4s, v30.4s, v31.4s \n"
"trn1 v16.2d, v0.2d, v2.2d \n"
"trn2 v24.2d, v0.2d, v2.2d \n"
"trn1 v20.2d, v1.2d, v3.2d \n"
"trn2 v28.2d, v1.2d, v3.2d \n"
"trn1 v17.2d, v4.2d, v6.2d \n"
"trn2 v25.2d, v4.2d, v6.2d \n"
"trn1 v21.2d, v5.2d, v7.2d \n"
"trn2 v29.2d, v5.2d, v7.2d \n"
"trn1 v18.2d, v8.2d, v10.2d \n"
"trn2 v26.2d, v8.2d, v10.2d \n"
"trn1 v22.2d, v9.2d, v11.2d \n"
"trn2 v30.2d, v9.2d, v11.2d \n"
"trn1 v19.2d, v12.2d, v14.2d \n"
"trn2 v27.2d, v12.2d, v14.2d \n"
"trn1 v23.2d, v13.2d, v15.2d \n"
"trn2 v31.2d, v13.2d, v15.2d \n"
"st1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%0], #64 \n"
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%1], #64 \n"
"st1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%2], #64 \n"
"st1 {v28.4s, v29.4s, v30.4s, v31.4s}, [%3], #64 \n"
: "=r"(outptr0),
"=r"(outptr1),
"=r"(outptr2),
"=r"(outptr3),
"=r"(nn),
"=r"(nn1),
"=r"(tmpptr),
"=r"(kptr0)
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(nn),
"5"(nn1),
"6"(tmpptr),
"7"(kptr0)
: "memory", "x4", "x5", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; i + 7 < size; i += 8)
{
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8);
const signed char* kptr0 = kernel.channel(p / 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
int32x4_t _sum0 = vdupq_n_s32(0);
int32x4_t _sum1 = vdupq_n_s32(0);
int32x4_t _sum2 = vdupq_n_s32(0);
int32x4_t _sum3 = vdupq_n_s32(0);
int32x4_t _sum4 = vdupq_n_s32(0);
int32x4_t _sum5 = vdupq_n_s32(0);
int32x4_t _sum6 = vdupq_n_s32(0);
int32x4_t _sum7 = vdupq_n_s32(0);
for (int j = 0; j < nn; j++)
{
int8x16_t _val0123_l = vld1q_s8(tmpptr);
int8x16_t _val4567_l = vld1q_s8(tmpptr + 16);
int8x16_t _w0123_l = vld1q_s8(kptr0);
_sum0 = vdotq_laneq_s32(_sum0, _w0123_l, _val0123_l, 0);
_sum1 = vdotq_laneq_s32(_sum1, _w0123_l, _val0123_l, 1);
_sum2 = vdotq_laneq_s32(_sum2, _w0123_l, _val0123_l, 2);
_sum3 = vdotq_laneq_s32(_sum3, _w0123_l, _val0123_l, 3);
_sum4 = vdotq_laneq_s32(_sum4, _w0123_l, _val4567_l, 0);
_sum5 = vdotq_laneq_s32(_sum5, _w0123_l, _val4567_l, 1);
_sum6 = vdotq_laneq_s32(_sum6, _w0123_l, _val4567_l, 2);
_sum7 = vdotq_laneq_s32(_sum7, _w0123_l, _val4567_l, 3);
int8x16_t _val0123_h = vld1q_s8(tmpptr + 32);
int8x16_t _val4567_h = vld1q_s8(tmpptr + 48);
int8x16_t _w0123_h = vld1q_s8(kptr0 + 16);
_sum0 = vdotq_laneq_s32(_sum0, _w0123_h, _val0123_h, 0);
_sum1 = vdotq_laneq_s32(_sum1, _w0123_h, _val0123_h, 1);
_sum2 = vdotq_laneq_s32(_sum2, _w0123_h, _val0123_h, 2);
_sum3 = vdotq_laneq_s32(_sum3, _w0123_h, _val0123_h, 3);
_sum4 = vdotq_laneq_s32(_sum4, _w0123_h, _val4567_h, 0);
_sum5 = vdotq_laneq_s32(_sum5, _w0123_h, _val4567_h, 1);
_sum6 = vdotq_laneq_s32(_sum6, _w0123_h, _val4567_h, 2);
_sum7 = vdotq_laneq_s32(_sum7, _w0123_h, _val4567_h, 3);
tmpptr += 64;
kptr0 += 32;
}
int j = 0;
for (; j + 3 < nn1; j += 4)
{
int8x8x4_t _val4 = vld4_s8(tmpptr);
int8x8x2_t _val0145 = vuzp_s8(_val4.val[0], _val4.val[1]);
int8x8x2_t _val2367 = vuzp_s8(_val4.val[2], _val4.val[3]);
int8x16_t _val0123 = vcombine_s8(_val0145.val[0], _val2367.val[0]);
int8x16_t _val4567 = vcombine_s8(_val0145.val[1], _val2367.val[1]);
int8x16_t _w = vld1q_s8(kptr0);
int8x8x2_t _w01 = vuzp_s8(vget_low_s8(_w), vget_high_s8(_w));
int8x8x2_t _w0123 = vuzp_s8(_w01.val[0], _w01.val[1]);
int8x16_t _w0123f = vcombine_s8(_w0123.val[0], _w0123.val[1]);
_sum0 = vdotq_laneq_s32(_sum0, _w0123f, _val0123, 0);
_sum1 = vdotq_laneq_s32(_sum1, _w0123f, _val0123, 1);
_sum2 = vdotq_laneq_s32(_sum2, _w0123f, _val0123, 2);
_sum3 = vdotq_laneq_s32(_sum3, _w0123f, _val0123, 3);
_sum4 = vdotq_laneq_s32(_sum4, _w0123f, _val4567, 0);
_sum5 = vdotq_laneq_s32(_sum5, _w0123f, _val4567, 1);
_sum6 = vdotq_laneq_s32(_sum6, _w0123f, _val4567, 2);
_sum7 = vdotq_laneq_s32(_sum7, _w0123f, _val4567, 3);
tmpptr += 32;
kptr0 += 16;
}
for (; j < nn1; j++)
{
int16x4_t _val0 = vdup_n_s16(tmpptr[0]);
int16x4_t _val1 = vdup_n_s16(tmpptr[1]);
int16x4_t _val2 = vdup_n_s16(tmpptr[2]);
int16x4_t _val3 = vdup_n_s16(tmpptr[3]);
int16x4_t _val4 = vdup_n_s16(tmpptr[4]);
int16x4_t _val5 = vdup_n_s16(tmpptr[5]);
int16x4_t _val6 = vdup_n_s16(tmpptr[6]);
int16x4_t _val7 = vdup_n_s16(tmpptr[7]);
int16x4_t _w0123;
_w0123 = vset_lane_s16(kptr0[0], _w0123, 0);
_w0123 = vset_lane_s16(kptr0[1], _w0123, 1);
_w0123 = vset_lane_s16(kptr0[2], _w0123, 2);
_w0123 = vset_lane_s16(kptr0[3], _w0123, 3);
_sum0 = vmlal_s16(_sum0, _val0, _w0123);
_sum1 = vmlal_s16(_sum1, _val1, _w0123);
_sum2 = vmlal_s16(_sum2, _val2, _w0123);
_sum3 = vmlal_s16(_sum3, _val3, _w0123);
_sum4 = vmlal_s16(_sum4, _val4, _w0123);
_sum5 = vmlal_s16(_sum5, _val5, _w0123);
_sum6 = vmlal_s16(_sum6, _val6, _w0123);
_sum7 = vmlal_s16(_sum7, _val7, _w0123);
tmpptr += 8;
kptr0 += 4;
}
// transpose 4x8
int32x4x2_t _s01 = vtrnq_s32(_sum0, _sum1);
int32x4x2_t _s23 = vtrnq_s32(_sum2, _sum3);
int32x4x2_t _s45 = vtrnq_s32(_sum4, _sum5);
int32x4x2_t _s67 = vtrnq_s32(_sum6, _sum7);
_sum0 = vcombine_s32(vget_low_s32(_s01.val[0]), vget_low_s32(_s23.val[0]));
_sum1 = vcombine_s32(vget_low_s32(_s01.val[1]), vget_low_s32(_s23.val[1]));
_sum2 = vcombine_s32(vget_high_s32(_s01.val[0]), vget_high_s32(_s23.val[0]));
_sum3 = vcombine_s32(vget_high_s32(_s01.val[1]), vget_high_s32(_s23.val[1]));
_sum4 = vcombine_s32(vget_low_s32(_s45.val[0]), vget_low_s32(_s67.val[0]));
_sum5 = vcombine_s32(vget_low_s32(_s45.val[1]), vget_low_s32(_s67.val[1]));
_sum6 = vcombine_s32(vget_high_s32(_s45.val[0]), vget_high_s32(_s67.val[0]));
_sum7 = vcombine_s32(vget_high_s32(_s45.val[1]), vget_high_s32(_s67.val[1]));
vst1q_s32(outptr0, _sum0);
vst1q_s32(outptr1, _sum1);
vst1q_s32(outptr2, _sum2);
vst1q_s32(outptr3, _sum3);
vst1q_s32(outptr0 + 4, _sum4);
vst1q_s32(outptr1 + 4, _sum5);
vst1q_s32(outptr2 + 4, _sum6);
vst1q_s32(outptr3 + 4, _sum7);
outptr0 += 8;
outptr1 += 8;
outptr2 += 8;
outptr3 += 8;
}
#endif
for (; i + 3 < size; i += 4)
{
#if __ARM_FEATURE_DOTPROD
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4);
#else
const signed char* tmpptr = tmp.channel(i / 4);
#endif
const signed char* kptr0 = kernel.channel(p / 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
#if __ARM_FEATURE_DOTPROD
int32x4_t _sum0 = vdupq_n_s32(0);
int32x4_t _sum1 = vdupq_n_s32(0);
int32x4_t _sum2 = vdupq_n_s32(0);
int32x4_t _sum3 = vdupq_n_s32(0);
for (int j = 0; j < nn; j++)
{
int8x16_t _val0123_l = vld1q_s8(tmpptr);
int8x16_t _w0123_l = vld1q_s8(kptr0);
_sum0 = vdotq_laneq_s32(_sum0, _w0123_l, _val0123_l, 0);
_sum1 = vdotq_laneq_s32(_sum1, _w0123_l, _val0123_l, 1);
_sum2 = vdotq_laneq_s32(_sum2, _w0123_l, _val0123_l, 2);
_sum3 = vdotq_laneq_s32(_sum3, _w0123_l, _val0123_l, 3);
int8x16_t _val0123_h = vld1q_s8(tmpptr + 16);
int8x16_t _w0123_h = vld1q_s8(kptr0 + 16);
_sum0 = vdotq_laneq_s32(_sum0, _w0123_h, _val0123_h, 0);
_sum1 = vdotq_laneq_s32(_sum1, _w0123_h, _val0123_h, 1);
_sum2 = vdotq_laneq_s32(_sum2, _w0123_h, _val0123_h, 2);
_sum3 = vdotq_laneq_s32(_sum3, _w0123_h, _val0123_h, 3);
tmpptr += 32;
kptr0 += 32;
}
int j = 0;
for (; j + 3 < nn1; j += 4)
{
int8x16_t _val = vld1q_s8(tmpptr);
int8x8x2_t _val01 = vuzp_s8(vget_low_s8(_val), vget_high_s8(_val));
int8x8x2_t _val0123 = vuzp_s8(_val01.val[0], _val01.val[1]);
int8x16_t _val0123f = vcombine_s8(_val0123.val[0], _val0123.val[1]);
int8x16_t _w = vld1q_s8(kptr0);
int8x8x2_t _w01 = vuzp_s8(vget_low_s8(_w), vget_high_s8(_w));
int8x8x2_t _w0123 = vuzp_s8(_w01.val[0], _w01.val[1]);
int8x16_t _w0123f = vcombine_s8(_w0123.val[0], _w0123.val[1]);
_sum0 = vdotq_laneq_s32(_sum0, _w0123f, _val0123f, 0);
_sum1 = vdotq_laneq_s32(_sum1, _w0123f, _val0123f, 1);
_sum2 = vdotq_laneq_s32(_sum2, _w0123f, _val0123f, 2);
_sum3 = vdotq_laneq_s32(_sum3, _w0123f, _val0123f, 3);
tmpptr += 16;
kptr0 += 16;
}
for (; j < nn1; j++)
{
int16x4_t _val0 = vdup_n_s16(tmpptr[0]);
int16x4_t _val1 = vdup_n_s16(tmpptr[1]);
int16x4_t _val2 = vdup_n_s16(tmpptr[2]);
int16x4_t _val3 = vdup_n_s16(tmpptr[3]);
int16x4_t _w0123;
_w0123 = vset_lane_s16(kptr0[0], _w0123, 0);
_w0123 = vset_lane_s16(kptr0[1], _w0123, 1);
_w0123 = vset_lane_s16(kptr0[2], _w0123, 2);
_w0123 = vset_lane_s16(kptr0[3], _w0123, 3);
_sum0 = vmlal_s16(_sum0, _val0, _w0123);
_sum1 = vmlal_s16(_sum1, _val1, _w0123);
_sum2 = vmlal_s16(_sum2, _val2, _w0123);
_sum3 = vmlal_s16(_sum3, _val3, _w0123);
tmpptr += 4;
kptr0 += 4;
}
// transpose 4x4
int32x4x2_t _s01 = vtrnq_s32(_sum0, _sum1);
int32x4x2_t _s23 = vtrnq_s32(_sum2, _sum3);
_sum0 = vcombine_s32(vget_low_s32(_s01.val[0]), vget_low_s32(_s23.val[0]));
_sum1 = vcombine_s32(vget_low_s32(_s01.val[1]), vget_low_s32(_s23.val[1]));
_sum2 = vcombine_s32(vget_high_s32(_s01.val[0]), vget_high_s32(_s23.val[0]));
_sum3 = vcombine_s32(vget_high_s32(_s01.val[1]), vget_high_s32(_s23.val[1]));
vst1q_s32(outptr0, _sum0);
vst1q_s32(outptr1, _sum1);
vst1q_s32(outptr2, _sum2);
vst1q_s32(outptr3, _sum3);
outptr0 += 4;
outptr1 += 4;
outptr2 += 4;
outptr3 += 4;
#else // __ARM_FEATURE_DOTPROD
asm volatile(
"eor v0.16b, v0.16b, v0.16b \n"
"eor v1.16b, v1.16b, v1.16b \n"
"eor v2.16b, v2.16b, v2.16b \n"
"eor v3.16b, v3.16b, v3.16b \n"
"cmp %w4, #0 \n"
"beq 3f \n"
"eor v4.16b, v4.16b, v4.16b \n"
"eor v5.16b, v5.16b, v5.16b \n"
"eor v6.16b, v6.16b, v6.16b \n"
"eor v7.16b, v7.16b, v7.16b \n"
"eor v8.16b, v8.16b, v8.16b \n"
"eor v9.16b, v9.16b, v9.16b \n"
"eor v10.16b, v10.16b, v10.16b \n"
"eor v11.16b, v11.16b, v11.16b \n"
"eor v12.16b, v12.16b, v12.16b \n"
"eor v13.16b, v13.16b, v13.16b \n"
"eor v14.16b, v14.16b, v14.16b \n"
"eor v15.16b, v15.16b, v15.16b \n"
"prfm pldl1keep, [%6, #128] \n"
"prfm pldl1keep, [%7, #256] \n"
"lsr w4, %w4, #1 \n" // w4 = nn >> 1
"cmp w4, #0 \n"
"beq 1f \n"
"prfm pldl1keep, [%7, #512] \n"
"add x5, %6, #16 \n"
"prfm pldl1keep, [x5, #128] \n"
"ld1 {v16.16b}, [%6] \n" // val L H
"ld1 {v20.16b, v21.16b, v22.16b, v23.16b}, [%7], #64 \n"
"add %6, %6, #32 \n"
"ext v17.16b, v16.16b, v16.16b, #8 \n" // val H L
"ld1 {v18.16b}, [%6] \n"
"add %6, %6, #32 \n"
"0: \n"
"smull v24.8h, v16.8b, v20.8b \n"
"prfm pldl1keep, [%7, #256] \n"
"smull2 v25.8h, v17.16b, v20.16b \n"
"prfm pldl1keep, [%7, #512] \n"
"smull v26.8h, v16.8b, v21.8b \n"
"subs w4, w4, #1 \n"
"smull2 v27.8h, v17.16b, v21.16b \n"
"ext v19.16b, v18.16b, v18.16b, #8 \n" // val H L
"smlal v24.8h, v18.8b, v22.8b \n"
"smlal2 v25.8h, v19.16b, v22.16b \n"
"smlal v26.8h, v18.8b, v23.8b \n"
"smlal2 v27.8h, v19.16b, v23.16b \n"
"smull2 v29.8h, v16.16b, v20.16b \n"
"sadalp v0.4s, v24.8h \n"
"smull v28.8h, v17.8b, v20.8b \n"
"sadalp v1.4s, v25.8h \n"
"smull2 v31.8h, v16.16b, v21.16b \n"
"ld1 {v16.16b}, [x5] \n" // val L H
"smull v30.8h, v17.8b, v21.8b \n"
"add x5, x5, #32 \n"
"smlal2 v29.8h, v18.16b, v22.16b \n"
"sadalp v2.4s, v26.8h \n"
"smlal v28.8h, v19.8b, v22.8b \n"
"sadalp v3.4s, v27.8h \n"
"smlal2 v31.8h, v18.16b, v23.16b \n"
"ld1 {v18.16b}, [x5] \n"
"smlal v30.8h, v19.8b, v23.8b \n"
"ext v17.16b, v16.16b, v16.16b, #8 \n" // val H L
"smull v24.8h, v16.8b, v20.8b \n"
"add x5, x5, #32 \n"
"smull2 v25.8h, v17.16b, v20.16b \n"
"prfm pldl1keep, [x5, #128] \n"
"smull v26.8h, v16.8b, v21.8b \n"
"prfm pldl1keep, [x5, #384] \n"
"smull2 v27.8h, v17.16b, v21.16b \n"
"ext v19.16b, v18.16b, v18.16b, #8 \n" // val H L
"smlal v24.8h, v18.8b, v22.8b \n"
"sadalp v5.4s, v29.8h \n"
"smlal2 v25.8h, v19.16b, v22.16b \n"
"sadalp v4.4s, v28.8h \n"
"smlal v26.8h, v18.8b, v23.8b \n"
"sadalp v7.4s, v31.8h \n"
"smlal2 v27.8h, v19.16b, v23.16b \n"
"sadalp v6.4s, v30.8h \n"
"smull2 v29.8h, v16.16b, v20.16b \n"
"sadalp v8.4s, v24.8h \n"
"smull v28.8h, v17.8b, v20.8b \n"
"sadalp v9.4s, v25.8h \n"
"smull2 v31.8h, v16.16b, v21.16b \n"
"ld1 {v16.16b}, [%6] \n" // val L H
"smull v30.8h, v17.8b, v21.8b \n"
"add %6, %6, #32 \n"
"smlal2 v29.8h, v18.16b, v22.16b \n"
"sadalp v10.4s, v26.8h \n"
"smlal v28.8h, v19.8b, v22.8b \n"
"sadalp v11.4s, v27.8h \n"
"smlal2 v31.8h, v18.16b, v23.16b \n"
"ld1 {v18.16b}, [%6] \n"
"smlal v30.8h, v19.8b, v23.8b \n"
"add %6, %6, #32 \n"
"ld1 {v20.16b, v21.16b, v22.16b, v23.16b}, [%7], #64 \n"
"sadalp v13.4s, v29.8h \n"
"prfm pldl1keep, [%6, #128] \n"
"sadalp v12.4s, v28.8h \n"
"prfm pldl1keep, [%6, #384] \n"
"sadalp v15.4s, v31.8h \n"
"ext v17.16b, v16.16b, v16.16b, #8 \n" // val H L
"sadalp v14.4s, v30.8h \n"
"bne 0b \n"
"sub %6, %6, #64 \n"
"sub %7, %7, #64 \n"
"1: \n"
"and w4, %w4, #1 \n" // w4 = remain = nn & 1
"cmp w4, #0 \n" // w4 > 0
"beq 2f \n"
"ld1 {v16.8b, v17.8b}, [%6], #16 \n"
"ld1 {v20.8b, v21.8b, v22.8b, v23.8b}, [%7], #32 \n"
"smull v24.8h, v16.8b, v20.8b \n"
"smull v25.8h, v16.8b, v21.8b \n"
"smull v26.8h, v16.8b, v22.8b \n"
"ld1 {v18.8b, v19.8b}, [%6], #16 \n"
"smull v27.8h, v16.8b, v23.8b \n"
"sadalp v0.4s, v24.8h \n"
"smull v28.8h, v17.8b, v20.8b \n"
"sadalp v1.4s, v25.8h \n"
"smull v29.8h, v17.8b, v21.8b \n"
"sadalp v2.4s, v26.8h \n"
"smull v30.8h, v17.8b, v22.8b \n"
"sadalp v3.4s, v27.8h \n"
"smull v31.8h, v17.8b, v23.8b \n"
"sadalp v4.4s, v28.8h \n"
"smull v24.8h, v18.8b, v20.8b \n"
"sadalp v5.4s, v29.8h \n"
"smull v25.8h, v18.8b, v21.8b \n"
"sadalp v6.4s, v30.8h \n"
"smull v26.8h, v18.8b, v22.8b \n"
"sadalp v7.4s, v31.8h \n"
"smull v27.8h, v18.8b, v23.8b \n"
"sadalp v8.4s, v24.8h \n"
"smull v28.8h, v19.8b, v20.8b \n"
"sadalp v9.4s, v25.8h \n"
"smull v29.8h, v19.8b, v21.8b \n"
"sadalp v10.4s, v26.8h \n"
"smull v30.8h, v19.8b, v22.8b \n"
"sadalp v11.4s, v27.8h \n"
"smull v31.8h, v19.8b, v23.8b \n"
"sadalp v12.4s, v28.8h \n"
"sadalp v13.4s, v29.8h \n"
"sadalp v14.4s, v30.8h \n"
"sadalp v15.4s, v31.8h \n"
"2: \n"
"addp v0.4s, v0.4s, v1.4s \n"
"addp v2.4s, v2.4s, v3.4s \n"
"addp v4.4s, v4.4s, v5.4s \n"
"addp v6.4s, v6.4s, v7.4s \n"
"addp v8.4s, v8.4s, v9.4s \n"
"addp v10.4s, v10.4s, v11.4s \n"
"addp v12.4s, v12.4s, v13.4s \n"
"addp v14.4s, v14.4s, v15.4s \n"
"addp v0.4s, v0.4s, v2.4s \n"
"addp v1.4s, v4.4s, v6.4s \n"
"addp v2.4s, v8.4s, v10.4s \n"
"addp v3.4s, v12.4s, v14.4s \n"
"3: \n"
"lsr w4, %w5, #2 \n" // w4 = nn1 >> 2
"cmp w4, #0 \n"
"beq 5f \n"
"4: \n"
"ld1 {v8.16b}, [%6], #16 \n"
"ld1 {v9.16b}, [%7], #16 \n"
"sshll v4.8h, v8.8b, #0 \n"
"sshll2 v5.8h, v8.16b, #0 \n"
"sshll v6.8h, v9.8b, #0 \n"
"sshll2 v7.8h, v9.16b, #0 \n"
"smlal v0.4s, v6.4h, v4.h[0] \n"
"smlal v1.4s, v6.4h, v4.h[1] \n"
"smlal v2.4s, v6.4h, v4.h[2] \n"
"smlal v3.4s, v6.4h, v4.h[3] \n"
"smlal2 v0.4s, v6.8h, v4.h[4] \n"
"smlal2 v1.4s, v6.8h, v4.h[5] \n"
"smlal2 v2.4s, v6.8h, v4.h[6] \n"
"smlal2 v3.4s, v6.8h, v4.h[7] \n"
"smlal v0.4s, v7.4h, v5.h[0] \n"
"smlal v1.4s, v7.4h, v5.h[1] \n"
"smlal v2.4s, v7.4h, v5.h[2] \n"
"smlal v3.4s, v7.4h, v5.h[3] \n"
"smlal2 v0.4s, v7.8h, v5.h[4] \n"
"smlal2 v1.4s, v7.8h, v5.h[5] \n"
"smlal2 v2.4s, v7.8h, v5.h[6] \n"
"smlal2 v3.4s, v7.8h, v5.h[7] \n"
"subs w4, w4, #1 \n"
"bne 4b \n"
"5: \n"
"and w4, %w5, #3 \n" // w4 = nn1 & 3
"cmp w4, #0 \n" // w4 > 0
"beq 7f \n"
"6: \n"
"ld1 {v4.8b}, [%6] \n"
"ld1 {v6.8b}, [%7] \n"
"sshll v4.8h, v4.8b, #0 \n"
"sshll v6.8h, v6.8b, #0 \n"
"smlal v0.4s, v6.4h, v4.h[0] \n"
"smlal v1.4s, v6.4h, v4.h[1] \n"
"smlal v2.4s, v6.4h, v4.h[2] \n"
"smlal v3.4s, v6.4h, v4.h[3] \n"
"add %6, %6, #4 \n"
"add %7, %7, #4 \n"
"subs w4, w4, #1 \n"
"bne 6b \n"
"7: \n"
// transpose 4x4
"trn1 v4.4s, v0.4s, v1.4s \n"
"trn2 v5.4s, v0.4s, v1.4s \n"
"trn1 v6.4s, v2.4s, v3.4s \n"
"trn2 v7.4s, v2.4s, v3.4s \n"
"trn1 v0.2d, v4.2d, v6.2d \n"
"trn2 v2.2d, v4.2d, v6.2d \n"
"trn1 v1.2d, v5.2d, v7.2d \n"
"trn2 v3.2d, v5.2d, v7.2d \n"
"st1 {v0.4s}, [%0], #16 \n"
"st1 {v1.4s}, [%1], #16 \n"
"st1 {v2.4s}, [%2], #16 \n"
"st1 {v3.4s}, [%3], #16 \n"
: "=r"(outptr0),
"=r"(outptr1),
"=r"(outptr2),
"=r"(outptr3),
"=r"(nn),
"=r"(nn1),
"=r"(tmpptr),
"=r"(kptr0)
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(nn),
"5"(nn1),
"6"(tmpptr),
"7"(kptr0)
: "memory", "x4", "x5", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
#endif // __ARM_FEATURE_DOTPROD
}
#endif // __aarch64__
for (; i + 1 < size; i += 2)
{
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4 + (i % 4) / 2);
#else
const signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2);
#endif
#else
const signed char* tmpptr = tmp.channel(i / 2);
#endif
const signed char* kptr0 = kernel.channel(p / 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
#if __aarch64__
int32x4_t _sum00 = vdupq_n_s32(0);
int32x4_t _sum10 = vdupq_n_s32(0);
#if __ARM_FEATURE_DOTPROD
for (int j = 0; j < nn; j++)
{
int8x16_t _val01_l_h = vld1q_s8(tmpptr);
int8x16_t _w0123_l = vld1q_s8(kptr0);
_sum00 = vdotq_laneq_s32(_sum00, _w0123_l, _val01_l_h, 0);
_sum10 = vdotq_laneq_s32(_sum10, _w0123_l, _val01_l_h, 1);
int8x16_t _w0123_h = vld1q_s8(kptr0 + 16);
_sum00 = vdotq_laneq_s32(_sum00, _w0123_h, _val01_l_h, 2);
_sum10 = vdotq_laneq_s32(_sum10, _w0123_h, _val01_l_h, 3);
tmpptr += 16;
kptr0 += 32;
}
#else // __ARM_FEATURE_DOTPROD
if (nn > 0)
{
int32x4_t _sum01 = vdupq_n_s32(0);
int32x4_t _sum02 = vdupq_n_s32(0);
int32x4_t _sum03 = vdupq_n_s32(0);
int32x4_t _sum11 = vdupq_n_s32(0);
int32x4_t _sum12 = vdupq_n_s32(0);
int32x4_t _sum13 = vdupq_n_s32(0);
int j = 0;
for (; j + 1 < nn; j += 2)
{
int8x16_t _val0 = vld1q_s8(tmpptr);
int8x16_t _val1 = vld1q_s8(tmpptr + 16);
int8x16_t _w01 = vld1q_s8(kptr0);
int8x16_t _w23 = vld1q_s8(kptr0 + 16);
int16x8_t _wv00 = vmull_s8(vget_low_s8(_val0), vget_low_s8(_w01));
int16x8_t _wv01 = vmull_s8(vget_low_s8(_val0), vget_high_s8(_w01));
int16x8_t _wv02 = vmull_s8(vget_low_s8(_val0), vget_low_s8(_w23));
int16x8_t _wv03 = vmull_s8(vget_low_s8(_val0), vget_high_s8(_w23));
int16x8_t _wv10 = vmull_s8(vget_high_s8(_val0), vget_low_s8(_w01));
int16x8_t _wv11 = vmull_s8(vget_high_s8(_val0), vget_high_s8(_w01));
int16x8_t _wv12 = vmull_s8(vget_high_s8(_val0), vget_low_s8(_w23));
int16x8_t _wv13 = vmull_s8(vget_high_s8(_val0), vget_high_s8(_w23));
int8x16_t _w45 = vld1q_s8(kptr0 + 32);
int8x16_t _w67 = vld1q_s8(kptr0 + 48);
_wv00 = vmlal_s8(_wv00, vget_low_s8(_val1), vget_low_s8(_w45));
_wv01 = vmlal_s8(_wv01, vget_low_s8(_val1), vget_high_s8(_w45));
_wv02 = vmlal_s8(_wv02, vget_low_s8(_val1), vget_low_s8(_w67));
_wv03 = vmlal_s8(_wv03, vget_low_s8(_val1), vget_high_s8(_w67));
_wv10 = vmlal_s8(_wv10, vget_high_s8(_val1), vget_low_s8(_w45));
_wv11 = vmlal_s8(_wv11, vget_high_s8(_val1), vget_high_s8(_w45));
_wv12 = vmlal_s8(_wv12, vget_high_s8(_val1), vget_low_s8(_w67));
_wv13 = vmlal_s8(_wv13, vget_high_s8(_val1), vget_high_s8(_w67));
_sum00 = vpadalq_s16(_sum00, _wv00);
_sum01 = vpadalq_s16(_sum01, _wv01);
_sum02 = vpadalq_s16(_sum02, _wv02);
_sum03 = vpadalq_s16(_sum03, _wv03);
_sum10 = vpadalq_s16(_sum10, _wv10);
_sum11 = vpadalq_s16(_sum11, _wv11);
_sum12 = vpadalq_s16(_sum12, _wv12);
_sum13 = vpadalq_s16(_sum13, _wv13);
tmpptr += 32;
kptr0 += 64;
}
for (; j < nn; j++)
{
int8x16_t _val = vld1q_s8(tmpptr);
int8x16_t _w01 = vld1q_s8(kptr0);
int8x16_t _w23 = vld1q_s8(kptr0 + 16);
int16x8_t _wv00 = vmull_s8(vget_low_s8(_val), vget_low_s8(_w01));
int16x8_t _wv01 = vmull_s8(vget_low_s8(_val), vget_high_s8(_w01));
int16x8_t _wv02 = vmull_s8(vget_low_s8(_val), vget_low_s8(_w23));
int16x8_t _wv03 = vmull_s8(vget_low_s8(_val), vget_high_s8(_w23));
int16x8_t _wv10 = vmull_s8(vget_high_s8(_val), vget_low_s8(_w01));
int16x8_t _wv11 = vmull_s8(vget_high_s8(_val), vget_high_s8(_w01));
int16x8_t _wv12 = vmull_s8(vget_high_s8(_val), vget_low_s8(_w23));
int16x8_t _wv13 = vmull_s8(vget_high_s8(_val), vget_high_s8(_w23));
_sum00 = vpadalq_s16(_sum00, _wv00);
_sum01 = vpadalq_s16(_sum01, _wv01);
_sum02 = vpadalq_s16(_sum02, _wv02);
_sum03 = vpadalq_s16(_sum03, _wv03);
_sum10 = vpadalq_s16(_sum10, _wv10);
_sum11 = vpadalq_s16(_sum11, _wv11);
_sum12 = vpadalq_s16(_sum12, _wv12);
_sum13 = vpadalq_s16(_sum13, _wv13);
tmpptr += 16;
kptr0 += 32;
}
int32x4_t _s001 = vpaddq_s32(_sum00, _sum01);
int32x4_t _s023 = vpaddq_s32(_sum02, _sum03);
int32x4_t _s101 = vpaddq_s32(_sum10, _sum11);
int32x4_t _s123 = vpaddq_s32(_sum12, _sum13);
_sum00 = vpaddq_s32(_s001, _s023);
_sum10 = vpaddq_s32(_s101, _s123);
}
#endif // __ARM_FEATURE_DOTPROD
int j = 0;
for (; j + 3 < nn1; j += 4)
{
int16x8_t _val01234567 = vmovl_s8(vld1_s8(tmpptr));
int8x16_t _w = vld1q_s8(kptr0);
int16x8_t _w01234567 = vmovl_s8(vget_low_s8(_w));
int16x8_t _w89abcdef = vmovl_s8(vget_high_s8(_w));
int16x4_t _w0123 = vget_low_s16(_w01234567);
int16x4_t _w4567 = vget_high_s16(_w01234567);
int16x4_t _w89ab = vget_low_s16(_w89abcdef);
int16x4_t _wcdef = vget_high_s16(_w89abcdef);
_sum00 = vmlal_laneq_s16(_sum00, _w0123, _val01234567, 0);
_sum10 = vmlal_laneq_s16(_sum10, _w0123, _val01234567, 1);
_sum00 = vmlal_laneq_s16(_sum00, _w4567, _val01234567, 2);
_sum10 = vmlal_laneq_s16(_sum10, _w4567, _val01234567, 3);
_sum00 = vmlal_laneq_s16(_sum00, _w89ab, _val01234567, 4);
_sum10 = vmlal_laneq_s16(_sum10, _w89ab, _val01234567, 5);
_sum00 = vmlal_laneq_s16(_sum00, _wcdef, _val01234567, 6);
_sum10 = vmlal_laneq_s16(_sum10, _wcdef, _val01234567, 7);
tmpptr += 8;
kptr0 += 16;
}
for (; j < nn1; j++)
{
int16x4_t _val0 = vdup_n_s16(tmpptr[0]);
int16x4_t _val1 = vdup_n_s16(tmpptr[1]);
int16x4_t _w0123;
_w0123 = vset_lane_s16(kptr0[0], _w0123, 0);
_w0123 = vset_lane_s16(kptr0[1], _w0123, 1);
_w0123 = vset_lane_s16(kptr0[2], _w0123, 2);
_w0123 = vset_lane_s16(kptr0[3], _w0123, 3);
_sum00 = vmlal_s16(_sum00, _val0, _w0123);
_sum10 = vmlal_s16(_sum10, _val1, _w0123);
tmpptr += 2;
kptr0 += 4;
}
vst1q_lane_s32(outptr0, _sum00, 0);
vst1q_lane_s32(outptr1, _sum00, 1);
vst1q_lane_s32(outptr2, _sum00, 2);
vst1q_lane_s32(outptr3, _sum00, 3);
vst1q_lane_s32(outptr0 + 1, _sum10, 0);
vst1q_lane_s32(outptr1 + 1, _sum10, 1);
vst1q_lane_s32(outptr2 + 1, _sum10, 2);
vst1q_lane_s32(outptr3 + 1, _sum10, 3);
outptr0 += 2;
outptr1 += 2;
outptr2 += 2;
outptr3 += 2;
#else // __aarch64__
asm volatile(
"veor q0, q0 \n"
"veor q1, q1 \n"
"veor q2, q2 \n"
"veor q3, q3 \n"
"veor q4, q4 \n"
"veor q5, q5 \n"
"veor q6, q6 \n"
"veor q7, q7 \n"
"cmp %4, #0 \n"
"beq 3f \n"
"pld [%6, #256] \n"
"lsr r4, %4, #1 \n" // r4 = nn = size >> 1
"cmp r4, #0 \n"
"beq 1f \n"
"add r5, %7, #16 \n"
"pld [%7, #128] \n"
"mov r6, #32 \n"
"pld [%7, #384] \n"
"vld1.s8 {d20-d21}, [%7 :128], r6 \n" // _w01
"vld1.s8 {d16-d19}, [%6 :128]! \n" // _val0 _val1
"vld1.s8 {d22-d23}, [%7 :128], r6 \n" // _w45
"0: \n"
"vmull.s8 q12, d16, d20 \n"
"pld [%6, #256] \n"
"vmull.s8 q13, d16, d21 \n"
"pld [%7, #384] \n"
"vmull.s8 q14, d17, d20 \n"
"vmull.s8 q15, d17, d21 \n"
"vld1.s8 {d20-d21}, [r5 :128], r6 \n" // _w23
"vmlal.s8 q12, d18, d22 \n"
"vmlal.s8 q13, d18, d23 \n"
"subs r4, r4, #1 \n"
"vmlal.s8 q14, d19, d22 \n"
"vmlal.s8 q15, d19, d23 \n"
"vld1.s8 {d22-d23}, [r5 :128], r6 \n" // _w67
"vpadal.s16 q0, q12 \n"
"vmull.s8 q12, d16, d20 \n"
"vpadal.s16 q1, q13 \n"
"vmull.s8 q13, d16, d21 \n"
"vpadal.s16 q4, q14 \n"
"vmull.s8 q14, d17, d20 \n"
"vpadal.s16 q5, q15 \n"
"vmull.s8 q15, d17, d21 \n"
"vld1.s8 {d16-d17}, [%6 :128]! \n" // _val0
"vmlal.s8 q12, d18, d22 \n"
"vld1.s8 {d20-d21}, [%7 :128], r6 \n" // _w01
"vmlal.s8 q13, d18, d23 \n"
"pld [r5, #128] \n"
"vmlal.s8 q14, d19, d22 \n"
"pld [r5, #384] \n"
"vmlal.s8 q15, d19, d23 \n"
"vld1.s8 {d18-d19}, [%6 :128]! \n" // _val1
"vpadal.s16 q2, q12 \n"
"vld1.s8 {d22-d23}, [%7 :128], r6 \n" // _w45
"vpadal.s16 q3, q13 \n"
"pld [%6, #128] \n"
"vpadal.s16 q6, q14 \n"
"pld [%7, #128] \n"
"vpadal.s16 q7, q15 \n"
"bne 0b \n"
"sub %6, %6, #32 \n"
"sub %7, %7, #64 \n"
"1: \n"
"and r4, %4, #1 \n" // r4 = remain = size & 1
"cmp r4, #0 \n" // r4 > 0
"beq 2f \n"
"vld1.s8 {d16-d17}, [%6 :128]! \n" // _val
"vld1.s8 {d20-d21}, [%7 :128]! \n" // _w01
"vmull.s8 q12, d16, d20 \n"
"vld1.s8 {d22-d23}, [%7 :128]! \n" // _w23
"vmull.s8 q13, d16, d21 \n"
"vmull.s8 q14, d17, d20 \n"
"vmull.s8 q15, d17, d21 \n"
"vpadal.s16 q0, q12 \n"
"vmull.s8 q12, d16, d22 \n"
"vpadal.s16 q1, q13 \n"
"vmull.s8 q13, d16, d23 \n"
"vpadal.s16 q4, q14 \n"
"vmull.s8 q14, d17, d22 \n"
"vpadal.s16 q5, q15 \n"
"vmull.s8 q15, d17, d23 \n"
"vpadal.s16 q2, q12 \n"
"vpadal.s16 q3, q13 \n"
"vpadal.s16 q6, q14 \n"
"vpadal.s16 q7, q15 \n"
"2: \n"
"vpadd.s32 d16, d0, d1 \n"
"vpadd.s32 d17, d2, d3 \n"
"vpadd.s32 d18, d4, d5 \n"
"vpadd.s32 d19, d6, d7 \n"
"vpadd.s32 d20, d8, d9 \n"
"vpadd.s32 d21, d10, d11 \n"
"vpadd.s32 d22, d12, d13 \n"
"vpadd.s32 d23, d14, d15 \n"
"vpadd.s32 d0, d16, d17 \n"
"vpadd.s32 d1, d18, d19 \n"
"vpadd.s32 d2, d20, d21 \n"
"vpadd.s32 d3, d22, d23 \n"
"3: \n"
"lsr r4, %5, #2 \n" // r4 = nn1 >> 2
"cmp r4, #0 \n"
"beq 5f \n"
"4: \n"
"vld1.s8 {d4}, [%6]! \n"
"vmovl.s8 q2, d4 \n"
"vld1.s8 {d10-d11}, [%7]! \n"
"vmovl.s8 q3, d10 \n"
"vmovl.s8 q4, d11 \n"
"vmlal.s16 q0, d6, d4[0] \n"
"vmlal.s16 q1, d6, d4[1] \n"
"vmlal.s16 q0, d7, d4[2] \n"
"vmlal.s16 q1, d7, d4[3] \n"
"vmlal.s16 q0, d8, d5[0] \n"
"vmlal.s16 q1, d8, d5[1] \n"
"vmlal.s16 q0, d9, d5[2] \n"
"vmlal.s16 q1, d9, d5[3] \n"
"subs r4, r4, #1 \n"
"bne 4b \n"
"5: \n"
"and r4, %5, #3 \n" // r4 = nn1 & 3
"cmp r4, #0 \n" // w4 > 0
"beq 7f \n"
"6: \n"
"vld1.s8 {d4[]}, [%6]! \n"
"vld1.s8 {d6[]}, [%6]! \n"
"vmovl.s8 q2, d4 \n"
"vmovl.s8 q3, d6 \n"
"vld1.s8 {d8}, [%7] \n"
"vmovl.s8 q4, d8 \n"
"vmlal.s16 q0, d4, d8 \n"
"vmlal.s16 q1, d6, d8 \n"
"add %7, %7, #4 \n"
"subs r4, r4, #1 \n"
"bne 6b \n"
"7: \n"
"vst1.s32 {d0[0]}, [%0]! \n"
"vst1.s32 {d0[1]}, [%1]! \n"
"vst1.s32 {d1[0]}, [%2]! \n"
"vst1.s32 {d1[1]}, [%3]! \n"
"vst1.s32 {d2[0]}, [%0]! \n"
"vst1.s32 {d2[1]}, [%1]! \n"
"vst1.s32 {d3[0]}, [%2]! \n"
"vst1.s32 {d3[1]}, [%3]! \n"
: "=r"(outptr0),
"=r"(outptr1),
"=r"(outptr2),
"=r"(outptr3),
"=r"(nn),
"=r"(nn1),
"=r"(tmpptr),
"=r"(kptr0)
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(nn),
"5"(nn1),
"6"(tmpptr),
"7"(kptr0)
: "memory", "r4", "r5", "r6", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; i < size; i++)
{
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4 + (i % 4) / 2 + i % 2);
#else
const signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2 + i % 2);
#endif
#else
const signed char* tmpptr = tmp.channel(i / 2 + i % 2);
#endif
const signed char* kptr0 = kernel.channel(p / 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
int32x4_t _sum0 = vdupq_n_s32(0);
#if __ARM_FEATURE_DOTPROD
for (int j = 0; j < nn; j++)
{
int8x8_t _val0_l_h = vld1_s8(tmpptr);
int8x16_t _w0123_l = vld1q_s8(kptr0);
_sum0 = vdotq_lane_s32(_sum0, _w0123_l, _val0_l_h, 0);
int8x16_t _w0123_h = vld1q_s8(kptr0 + 16);
_sum0 = vdotq_lane_s32(_sum0, _w0123_h, _val0_l_h, 1);
tmpptr += 8;
kptr0 += 32;
}
#else // __ARM_FEATURE_DOTPROD
if (nn > 0)
{
int32x4_t _sum1 = vdupq_n_s32(0);
int32x4_t _sum2 = vdupq_n_s32(0);
int32x4_t _sum3 = vdupq_n_s32(0);
int j = 0;
for (; j + 1 < nn; j += 2)
{
int8x16_t _val = vld1q_s8(tmpptr);
int8x16_t _w01 = vld1q_s8(kptr0);
int8x16_t _w23 = vld1q_s8(kptr0 + 16);
int16x8_t _wv0 = vmull_s8(vget_low_s8(_val), vget_low_s8(_w01));
int16x8_t _wv1 = vmull_s8(vget_low_s8(_val), vget_high_s8(_w01));
int16x8_t _wv2 = vmull_s8(vget_low_s8(_val), vget_low_s8(_w23));
int16x8_t _wv3 = vmull_s8(vget_low_s8(_val), vget_high_s8(_w23));
int8x16_t _w45 = vld1q_s8(kptr0 + 32);
int8x16_t _w67 = vld1q_s8(kptr0 + 48);
_wv0 = vmlal_s8(_wv0, vget_high_s8(_val), vget_low_s8(_w45));
_wv1 = vmlal_s8(_wv1, vget_high_s8(_val), vget_high_s8(_w45));
_wv2 = vmlal_s8(_wv2, vget_high_s8(_val), vget_low_s8(_w67));
_wv3 = vmlal_s8(_wv3, vget_high_s8(_val), vget_high_s8(_w67));
_sum0 = vpadalq_s16(_sum0, _wv0);
_sum1 = vpadalq_s16(_sum1, _wv1);
_sum2 = vpadalq_s16(_sum2, _wv2);
_sum3 = vpadalq_s16(_sum3, _wv3);
tmpptr += 16;
kptr0 += 64;
}
for (; j < nn; j++)
{
int8x8_t _val = vld1_s8(tmpptr);
int8x16_t _w01 = vld1q_s8(kptr0);
int8x16_t _w23 = vld1q_s8(kptr0 + 16);
int16x8_t _wv0 = vmull_s8(_val, vget_low_s8(_w01));
int16x8_t _wv1 = vmull_s8(_val, vget_high_s8(_w01));
int16x8_t _wv2 = vmull_s8(_val, vget_low_s8(_w23));
int16x8_t _wv3 = vmull_s8(_val, vget_high_s8(_w23));
_sum0 = vpadalq_s16(_sum0, _wv0);
_sum1 = vpadalq_s16(_sum1, _wv1);
_sum2 = vpadalq_s16(_sum2, _wv2);
_sum3 = vpadalq_s16(_sum3, _wv3);
tmpptr += 8;
kptr0 += 32;
}
#if __aarch64__
int32x4_t _s01 = vpaddq_s32(_sum0, _sum1);
int32x4_t _s23 = vpaddq_s32(_sum2, _sum3);
_sum0 = vpaddq_s32(_s01, _s23);
#else
int32x2_t _s01_low = vpadd_s32(vget_low_s32(_sum0), vget_high_s32(_sum0));
int32x2_t _s01_high = vpadd_s32(vget_low_s32(_sum1), vget_high_s32(_sum1));
int32x2_t _s23_low = vpadd_s32(vget_low_s32(_sum2), vget_high_s32(_sum2));
int32x2_t _s23_high = vpadd_s32(vget_low_s32(_sum3), vget_high_s32(_sum3));
_sum0 = vcombine_s32(vpadd_s32(_s01_low, _s01_high), vpadd_s32(_s23_low, _s23_high));
#endif
}
#endif // __ARM_FEATURE_DOTPROD
int32x4_t _sum1 = vdupq_n_s32(0);
int j = 0;
for (; j + 3 < nn1; j += 4)
{
int16x4_t _val0123 = vget_low_s16(vmovl_s8(vld1_s8(tmpptr)));
int8x16_t _w = vld1q_s8(kptr0);
int16x8_t _w01234567 = vmovl_s8(vget_low_s8(_w));
int16x8_t _w89abcdef = vmovl_s8(vget_high_s8(_w));
int16x4_t _w0123 = vget_low_s16(_w01234567);
int16x4_t _w4567 = vget_high_s16(_w01234567);
int16x4_t _w89ab = vget_low_s16(_w89abcdef);
int16x4_t _wcdef = vget_high_s16(_w89abcdef);
_sum0 = vmlal_lane_s16(_sum0, _w0123, _val0123, 0);
_sum1 = vmlal_lane_s16(_sum1, _w4567, _val0123, 1);
_sum0 = vmlal_lane_s16(_sum0, _w89ab, _val0123, 2);
_sum1 = vmlal_lane_s16(_sum1, _wcdef, _val0123, 3);
tmpptr += 4;
kptr0 += 16;
}
for (; j < nn1; j++)
{
int16x4_t _val = vdup_n_s16(tmpptr[0]);
int16x4_t _w0123;
_w0123 = vset_lane_s16(kptr0[0], _w0123, 0);
_w0123 = vset_lane_s16(kptr0[1], _w0123, 1);
_w0123 = vset_lane_s16(kptr0[2], _w0123, 2);
_w0123 = vset_lane_s16(kptr0[3], _w0123, 3);
_sum0 = vmlal_s16(_sum0, _val, _w0123);
tmpptr += 1;
kptr0 += 4;
}
_sum0 = vaddq_s32(_sum0, _sum1);
vst1q_lane_s32(outptr0, _sum0, 0);
vst1q_lane_s32(outptr1, _sum0, 1);
vst1q_lane_s32(outptr2, _sum0, 2);
vst1q_lane_s32(outptr3, _sum0, 3);
outptr0 += 1;
outptr1 += 1;
outptr2 += 1;
outptr3 += 1;
}
}
remain_outch_start += nn_outch << 2;
#endif // __ARM_NEON
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = remain_outch_start; p < outch; p++)
{
int* outptr0 = top_blob.channel(p);
int i = 0;
#if __ARM_NEON
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
for (; i + 15 < size; i += 16)
{
const signed char* tmpptr = tmp.channel(i / 16);
const signed char* kptr0 = kernel.channel(p / 4 + p % 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
int32x4_t _sum0 = vdupq_n_s32(0);
int32x4_t _sum1 = vdupq_n_s32(0);
int32x4_t _sum2 = vdupq_n_s32(0);
int32x4_t _sum3 = vdupq_n_s32(0);
for (int j = 0; j < nn; j++)
{
int8x16_t _val0123_l = vld1q_s8(tmpptr);
int8x16_t _val4567_l = vld1q_s8(tmpptr + 16);
int8x16_t _val89ab_l = vld1q_s8(tmpptr + 32);
int8x16_t _valcdef_l = vld1q_s8(tmpptr + 48);
int8x16_t _val0123_h = vld1q_s8(tmpptr + 64);
int8x16_t _val4567_h = vld1q_s8(tmpptr + 80);
int8x16_t _val89ab_h = vld1q_s8(tmpptr + 96);
int8x16_t _valcdef_h = vld1q_s8(tmpptr + 112);
int8x8_t _w_lh = vld1_s8(kptr0);
_sum0 = vdotq_lane_s32(_sum0, _val0123_l, _w_lh, 0);
_sum1 = vdotq_lane_s32(_sum1, _val4567_l, _w_lh, 0);
_sum2 = vdotq_lane_s32(_sum2, _val89ab_l, _w_lh, 0);
_sum3 = vdotq_lane_s32(_sum3, _valcdef_l, _w_lh, 0);
_sum0 = vdotq_lane_s32(_sum0, _val0123_h, _w_lh, 1);
_sum1 = vdotq_lane_s32(_sum1, _val4567_h, _w_lh, 1);
_sum2 = vdotq_lane_s32(_sum2, _val89ab_h, _w_lh, 1);
_sum3 = vdotq_lane_s32(_sum3, _valcdef_h, _w_lh, 1);
tmpptr += 128;
kptr0 += 8;
}
int j = 0;
for (; j < nn1; j++)
{
int8x16_t _val = vld1q_s8(tmpptr);
int8x8_t _w = vld1_dup_s8(kptr0);
int16x8_t _s0 = vmull_s8(vget_low_s8(_val), _w);
int16x8_t _s1 = vmull_s8(vget_high_s8(_val), _w);
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s0));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s0));
_sum2 = vaddw_s16(_sum2, vget_low_s16(_s1));
_sum3 = vaddw_s16(_sum3, vget_high_s16(_s1));
tmpptr += 16;
kptr0 += 1;
}
vst1q_s32(outptr0, _sum0);
vst1q_s32(outptr0 + 4, _sum1);
vst1q_s32(outptr0 + 8, _sum2);
vst1q_s32(outptr0 + 12, _sum3);
outptr0 += 16;
}
for (; i + 7 < size; i += 8)
{
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8);
const signed char* kptr0 = kernel.channel(p / 4 + p % 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
int32x4_t _sum0 = vdupq_n_s32(0);
int32x4_t _sum1 = vdupq_n_s32(0);
if (nn > 0)
{
int32x4_t _sum2 = vdupq_n_s32(0);
int32x4_t _sum3 = vdupq_n_s32(0);
for (int j = 0; j < nn; j++)
{
int8x16_t _val0123_l = vld1q_s8(tmpptr);
int8x16_t _val4567_l = vld1q_s8(tmpptr + 16);
int8x16_t _val0123_h = vld1q_s8(tmpptr + 32);
int8x16_t _val4567_h = vld1q_s8(tmpptr + 48);
int8x8_t _w_lh = vld1_s8(kptr0);
_sum0 = vdotq_lane_s32(_sum0, _val0123_l, _w_lh, 0);
_sum1 = vdotq_lane_s32(_sum1, _val4567_l, _w_lh, 0);
_sum2 = vdotq_lane_s32(_sum2, _val0123_h, _w_lh, 1);
_sum3 = vdotq_lane_s32(_sum3, _val4567_h, _w_lh, 1);
tmpptr += 64;
kptr0 += 8;
}
_sum0 = vaddq_s32(_sum0, _sum2);
_sum1 = vaddq_s32(_sum1, _sum3);
}
int j = 0;
for (; j < nn1; j++)
{
int8x8_t _val = vld1_s8(tmpptr);
int8x8_t _w = vld1_dup_s8(kptr0);
int16x8_t _s = vmull_s8(_val, _w);
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s));
tmpptr += 8;
kptr0 += 1;
}
vst1q_s32(outptr0, _sum0);
vst1q_s32(outptr0 + 4, _sum1);
outptr0 += 8;
}
#endif // __ARM_FEATURE_DOTPROD
for (; i + 3 < size; i += 4)
{
#if __ARM_FEATURE_DOTPROD
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4);
#else
const signed char* tmpptr = tmp.channel(i / 4);
#endif
const signed char* kptr0 = kernel.channel(p / 4 + p % 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
int32x4_t _sum0 = vdupq_n_s32(0);
if (nn > 0)
{
#if __ARM_FEATURE_DOTPROD
int32x4_t _sum1 = vdupq_n_s32(0);
int j = 0;
for (; j < nn; j++)
{
int8x16_t _val0123_l = vld1q_s8(tmpptr);
int8x16_t _val0123_h = vld1q_s8(tmpptr + 16);
int8x8_t _w_lh = vld1_s8(kptr0);
_sum0 = vdotq_lane_s32(_sum0, _val0123_l, _w_lh, 0);
_sum1 = vdotq_lane_s32(_sum1, _val0123_h, _w_lh, 1);
tmpptr += 32;
kptr0 += 8;
}
_sum0 = vaddq_s32(_sum0, _sum1);
#else // __ARM_FEATURE_DOTPROD
int32x4_t _sum1 = vdupq_n_s32(0);
int32x4_t _sum2 = vdupq_n_s32(0);
int32x4_t _sum3 = vdupq_n_s32(0);
int32x4_t _sum4 = vdupq_n_s32(0);
int32x4_t _sum5 = vdupq_n_s32(0);
int32x4_t _sum6 = vdupq_n_s32(0);
int32x4_t _sum7 = vdupq_n_s32(0);
int j = 0;
for (; j + 1 < nn; j += 2)
{
int8x16_t _val0 = vld1q_s8(tmpptr);
int8x16_t _val1 = vld1q_s8(tmpptr + 16);
int8x16_t _val2 = vld1q_s8(tmpptr + 32);
int8x16_t _val3 = vld1q_s8(tmpptr + 48);
int8x16_t _w = vld1q_s8(kptr0);
int16x8_t _s0 = vmull_s8(vget_low_s8(_val0), vget_low_s8(_w));
int16x8_t _s1 = vmull_s8(vget_high_s8(_val0), vget_low_s8(_w));
int16x8_t _s2 = vmull_s8(vget_low_s8(_val1), vget_low_s8(_w));
int16x8_t _s3 = vmull_s8(vget_high_s8(_val1), vget_low_s8(_w));
_s0 = vmlal_s8(_s0, vget_low_s8(_val2), vget_high_s8(_w));
_s1 = vmlal_s8(_s1, vget_high_s8(_val2), vget_high_s8(_w));
_s2 = vmlal_s8(_s2, vget_low_s8(_val3), vget_high_s8(_w));
_s3 = vmlal_s8(_s3, vget_high_s8(_val3), vget_high_s8(_w));
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s0));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s0));
_sum2 = vaddw_s16(_sum2, vget_low_s16(_s1));
_sum3 = vaddw_s16(_sum3, vget_high_s16(_s1));
_sum4 = vaddw_s16(_sum4, vget_low_s16(_s2));
_sum5 = vaddw_s16(_sum5, vget_high_s16(_s2));
_sum6 = vaddw_s16(_sum6, vget_low_s16(_s3));
_sum7 = vaddw_s16(_sum7, vget_high_s16(_s3));
tmpptr += 64;
kptr0 += 16;
}
for (; j < nn; j++)
{
int8x16_t _val0 = vld1q_s8(tmpptr);
int8x16_t _val1 = vld1q_s8(tmpptr + 16);
int8x8_t _w = vld1_s8(kptr0);
int16x8_t _s0 = vmull_s8(vget_low_s8(_val0), _w);
int16x8_t _s1 = vmull_s8(vget_high_s8(_val0), _w);
int16x8_t _s2 = vmull_s8(vget_low_s8(_val1), _w);
int16x8_t _s3 = vmull_s8(vget_high_s8(_val1), _w);
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s0));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s0));
_sum2 = vaddw_s16(_sum2, vget_low_s16(_s1));
_sum3 = vaddw_s16(_sum3, vget_high_s16(_s1));
_sum4 = vaddw_s16(_sum4, vget_low_s16(_s2));
_sum5 = vaddw_s16(_sum5, vget_high_s16(_s2));
_sum6 = vaddw_s16(_sum6, vget_low_s16(_s3));
_sum7 = vaddw_s16(_sum7, vget_high_s16(_s3));
tmpptr += 32;
kptr0 += 8;
}
_sum0 = vaddq_s32(_sum0, _sum1);
_sum2 = vaddq_s32(_sum2, _sum3);
_sum4 = vaddq_s32(_sum4, _sum5);
_sum6 = vaddq_s32(_sum6, _sum7);
int32x2_t _s0 = vadd_s32(vget_low_s32(_sum0), vget_high_s32(_sum0));
int32x2_t _s2 = vadd_s32(vget_low_s32(_sum2), vget_high_s32(_sum2));
int32x2_t _s4 = vadd_s32(vget_low_s32(_sum4), vget_high_s32(_sum4));
int32x2_t _s6 = vadd_s32(vget_low_s32(_sum6), vget_high_s32(_sum6));
int32x2_t _ss0 = vpadd_s32(_s0, _s2);
int32x2_t _ss1 = vpadd_s32(_s4, _s6);
_sum0 = vcombine_s32(_ss0, _ss1);
#endif // __ARM_FEATURE_DOTPROD
}
int sum0123[4] = {0, 0, 0, 0};
int j = 0;
for (; j < nn1; j++)
{
signed char val0 = tmpptr[0];
signed char val1 = tmpptr[1];
signed char val2 = tmpptr[2];
signed char val3 = tmpptr[3];
signed char w = kptr0[0];
sum0123[0] += val0 * w;
sum0123[1] += val1 * w;
sum0123[2] += val2 * w;
sum0123[3] += val3 * w;
tmpptr += 4;
kptr0 += 1;
}
_sum0 = vaddq_s32(_sum0, vld1q_s32(sum0123));
vst1q_s32(outptr0, _sum0);
outptr0 += 4;
}
#endif // __aarch64__
for (; i + 1 < size; i += 2)
{
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4 + (i % 4) / 2);
#else
const signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2);
#endif
#else
const signed char* tmpptr = tmp.channel(i / 2);
#endif
const signed char* kptr0 = kernel.channel(p / 4 + p % 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
int32x2_t _sum = vdup_n_s32(0);
if (nn > 0)
{
#if __ARM_FEATURE_DOTPROD
int32x2_t _sum0 = vdup_n_s32(0);
int32x2_t _sum1 = vdup_n_s32(0);
int j = 0;
for (; j < nn; j++)
{
int8x16_t _val01_lh = vld1q_s8(tmpptr);
int8x8_t _w_lh = vld1_s8(kptr0);
_sum0 = vdot_lane_s32(_sum0, vget_low_s8(_val01_lh), _w_lh, 0);
_sum1 = vdot_lane_s32(_sum1, vget_high_s8(_val01_lh), _w_lh, 1);
tmpptr += 16;
kptr0 += 8;
}
_sum = vadd_s32(_sum0, _sum1);
#else // __ARM_FEATURE_DOTPROD
int32x4_t _sum0 = vdupq_n_s32(0);
int32x4_t _sum1 = vdupq_n_s32(0);
int32x4_t _sum2 = vdupq_n_s32(0);
int32x4_t _sum3 = vdupq_n_s32(0);
int j = 0;
for (; j + 1 < nn; j += 2)
{
int8x16_t _val0 = vld1q_s8(tmpptr);
int8x16_t _val1 = vld1q_s8(tmpptr + 16);
int8x16_t _w = vld1q_s8(kptr0);
int16x8_t _s0 = vmull_s8(vget_low_s8(_val0), vget_low_s8(_w));
int16x8_t _s1 = vmull_s8(vget_high_s8(_val0), vget_low_s8(_w));
_s0 = vmlal_s8(_s0, vget_low_s8(_val1), vget_high_s8(_w));
_s1 = vmlal_s8(_s1, vget_high_s8(_val1), vget_high_s8(_w));
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s0));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s0));
_sum2 = vaddw_s16(_sum2, vget_low_s16(_s1));
_sum3 = vaddw_s16(_sum3, vget_high_s16(_s1));
tmpptr += 32;
kptr0 += 16;
}
for (; j < nn; j++)
{
int8x16_t _val = vld1q_s8(tmpptr);
int8x8_t _w = vld1_s8(kptr0);
int16x8_t _s0 = vmull_s8(vget_low_s8(_val), _w);
int16x8_t _s1 = vmull_s8(vget_high_s8(_val), _w);
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s0));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s0));
_sum2 = vaddw_s16(_sum2, vget_low_s16(_s1));
_sum3 = vaddw_s16(_sum3, vget_high_s16(_s1));
tmpptr += 16;
kptr0 += 8;
}
_sum0 = vaddq_s32(_sum0, _sum1);
_sum2 = vaddq_s32(_sum2, _sum3);
int32x2_t _s0 = vadd_s32(vget_low_s32(_sum0), vget_high_s32(_sum0));
int32x2_t _s2 = vadd_s32(vget_low_s32(_sum2), vget_high_s32(_sum2));
_sum = vpadd_s32(_s0, _s2);
#endif // __ARM_FEATURE_DOTPROD
}
int sum01[2] = {0, 0};
int j = 0;
for (; j < nn1; j++)
{
signed char val0 = tmpptr[0];
signed char val1 = tmpptr[1];
signed char w = kptr0[0];
sum01[0] += val0 * w;
sum01[1] += val1 * w;
tmpptr += 2;
kptr0 += 1;
}
_sum = vadd_s32(_sum, vld1_s32(sum01));
vst1_s32(outptr0, _sum);
outptr0 += 2;
}
for (; i < size; i++)
{
#if __aarch64__
#if __ARM_FEATURE_DOTPROD
const signed char* tmpptr = tmp.channel(i / 16 + (i % 16) / 8 + (i % 8) / 4 + (i % 4) / 2 + i % 2);
#else
const signed char* tmpptr = tmp.channel(i / 4 + (i % 4) / 2 + i % 2);
#endif
#else
const signed char* tmpptr = tmp.channel(i / 2 + i % 2);
#endif
const signed char* kptr0 = kernel.channel(p / 4 + p % 4);
int nn = (inch / 8) * maxk;
int nn1 = (inch % 8) * maxk;
int sum = 0;
if (nn > 0)
{
#if __ARM_FEATURE_DOTPROD
int32x4_t _sum0 = vdupq_n_s32(0);
int32x2_t _sum1 = vdup_n_s32(0);
int j = 0;
for (; j + 1 < nn; j += 2)
{
int8x16_t _val = vld1q_s8(tmpptr);
int8x16_t _w = vld1q_s8(kptr0);
_sum0 = vdotq_s32(_sum0, _val, _w);
tmpptr += 16;
kptr0 += 16;
}
for (; j < nn; j++)
{
int8x8_t _val = vld1_s8(tmpptr);
int8x8_t _w = vld1_s8(kptr0);
_sum1 = vdot_s32(_sum1, _val, _w);
tmpptr += 8;
kptr0 += 8;
}
sum = vaddvq_s32(_sum0) + vaddv_s32(_sum1);
#else // __ARM_FEATURE_DOTPROD
int32x4_t _sum0 = vdupq_n_s32(0);
int32x4_t _sum1 = vdupq_n_s32(0);
int j = 0;
for (; j + 1 < nn; j += 2)
{
int8x16_t _val = vld1q_s8(tmpptr);
int8x16_t _w = vld1q_s8(kptr0);
int16x8_t _s8 = vmull_s8(vget_low_s8(_val), vget_low_s8(_w));
_s8 = vmlal_s8(_s8, vget_high_s8(_val), vget_high_s8(_w));
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s8));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s8));
tmpptr += 16;
kptr0 += 16;
}
for (; j < nn; j++)
{
int8x8_t _val = vld1_s8(tmpptr);
int8x8_t _w = vld1_s8(kptr0);
int16x8_t _s8 = vmull_s8(_val, _w);
_sum0 = vaddw_s16(_sum0, vget_low_s16(_s8));
_sum1 = vaddw_s16(_sum1, vget_high_s16(_s8));
tmpptr += 8;
kptr0 += 8;
}
int32x4_t _sum = vaddq_s32(_sum0, _sum1);
#if __aarch64__
sum = vaddvq_s32(_sum); // dot
#else
int32x2_t _ss = vadd_s32(vget_low_s32(_sum), vget_high_s32(_sum));
_ss = vpadd_s32(_ss, _ss);
sum = vget_lane_s32(_ss, 0);
#endif
#endif // __ARM_FEATURE_DOTPROD
}
int j = 0;
for (; j < nn1; j++)
{
signed char val = tmpptr[0];
signed char w = kptr0[0];
sum += val * w;
tmpptr += 1;
kptr0 += 1;
}
outptr0[0] = sum;
outptr0 += 1;
}
#else // __ARM_NEON
for (; i < size; i++)
{
const signed char* tmpptr = tmp.channel(i);
const signed char* kptr0 = kernel.channel(p);
int nn1 = inch * maxk;
int sum = 0;
int j = 0;
for (; j < nn1; j++)
{
signed char val = tmpptr[0];
signed char w = kptr0[0];
sum += val * w;
tmpptr += 1;
kptr0 += 1;
}
outptr0[0] = sum;
outptr0 += 1;
}
#endif // __ARM_NEON
}
}
static void convolution_im2col_sgemm_transform_kernel_int8_neon(const Mat& _kernel, Mat& kernel_tm, int inch, int outch, int kernel_w, int kernel_h)
{
const int maxk = kernel_w * kernel_h;
#if __ARM_NEON
// interleave
// src = maxk-inch-outch
// dst = 8a-4b-maxk-inch/8a-outch/4b
// dst = 4a-4b-2-maxk-inch/8a-outch/4b (arm82)
Mat kernel = _kernel.reshape(maxk, inch, outch);
if (outch >= 4)
{
if (inch >= 8)
kernel_tm.create(32 * maxk, inch / 8 + inch % 8, outch / 4 + outch % 4, 1u);
else
kernel_tm.create(4 * maxk, inch, outch / 4 + outch % 4, 1u);
}
else
{
if (inch >= 8)
kernel_tm.create(8 * maxk, inch / 8 + inch % 8, outch, 1u);
else
kernel_tm.create(1 * maxk, inch, outch, 1u);
}
int q = 0;
for (; q + 3 < outch; q += 4)
{
signed char* g00 = kernel_tm.channel(q / 4);
int p = 0;
for (; p + 7 < inch; p += 8)
{
for (int k = 0; k < maxk; k++)
{
#if __ARM_FEATURE_DOTPROD
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 (int i = 0; i < 4; i++)
{
for (int j = 4; j < 8; j++)
{
const signed char* k00 = kernel.channel(q + i).row<const signed char>(p + j);
g00[0] = k00[k];
g00++;
}
}
#else
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 8; j++)
{
const signed char* k00 = kernel.channel(q + i).row<const signed char>(p + j);
g00[0] = k00[k];
g00++;
}
}
#endif
}
}
// TODO unroll 4
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++;
}
}
}
}
// TODO unroll 2
for (; q < outch; q++)
{
signed char* g00 = kernel_tm.channel(q / 4 + q % 4);
int p = 0;
for (; p + 7 < inch; p += 8)
{
for (int k = 0; k < maxk; k++)
{
for (int j = 0; j < 8; j++)
{
const signed char* k00 = kernel.channel(q).row<const signed char>(p + j);
g00[0] = k00[k];
g00++;
}
}
}
// TODO unroll 4
for (; p < inch; p++)
{
for (int k = 0; k < maxk; k++)
{
const signed char* k00 = kernel.channel(q).row<const signed char>(p);
g00[0] = k00[k];
g00++;
}
}
}
#else // __ARM_NEON
kernel_tm = _kernel.reshape(maxk, inch, outch);
#endif // __ARM_NEON
}
static void convolution_im2col_sgemm_int8_neon(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_int8_neon(bottom_im2col, top_blob, kernel, opt);
}
|
3d25pt.c | /*
* Order-2, 3D 25 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
#ifndef min
#define min(x,y) ((x) < (y)? (x) : (y))
#endif
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
double ***roc2 = (double ***) malloc(sizeof(double**));
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
roc2 = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
roc2[i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
roc2[i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 32;
tile_size[3] = 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);
roc2[i][j][k] = 2.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
const double coef0 = -0.28472;
const double coef1 = 0.16000;
const double coef2 = -0.02000;
const double coef3 = 0.00254;
const double coef4 = -0.00018;
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] = 2.0*A[t%2][i][j][k] - A[(t+1)%2][i][j][k] + roc2[i][j][k]*(
coef0* A[t%2][i ][j ][k ] +
coef1*(A[t%2][i-1][j ][k ] + A[t%2][i+1][j ][k ] +
A[t%2][i ][j-1][k ] + A[t%2][i ][j+1][k ] +
A[t%2][i ][j ][k-1] + A[t%2][i ][j ][k+1]) +
coef2*(A[t%2][i-2][j ][k ] + A[t%2][i+2][j ][k ] +
A[t%2][i ][j-2][k ] + A[t%2][i ][j+2][k ] +
A[t%2][i ][j ][k-2] + A[t%2][i ][j ][k+2]) +
coef3*(A[t%2][i-3][j ][k ] + A[t%2][i+3][j ][k ] +
A[t%2][i ][j-3][k ] + A[t%2][i ][j+3][k ] +
A[t%2][i ][j ][k-3] + A[t%2][i ][j ][k+3]) +
coef4*(A[t%2][i-4][j ][k ] + A[t%2][i+4][j ][k ] +
A[t%2][i ][j-4][k ] + A[t%2][i ][j+4][k ] +
A[t%2][i ][j ][k-4] + A[t%2][i ][j ][k+4]) );
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = MIN(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
free(roc2[i][j]);
}
free(A[0][i]);
free(A[1][i]);
free(roc2[i]);
}
free(A[0]);
free(A[1]);
free(roc2);
return 0;
}
|
compare.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO M M PPPP AAA RRRR EEEEE %
% C O O MM MM P P A A R R E %
% C O O M M M PPPP AAAAA RRRR EEE %
% C O O M M P A A R R E %
% CCCC OOO M M P A A R R EEEEE %
% %
% %
% MagickCore Image Comparison Methods %
% %
% Software Design %
% Cristy %
% December 2003 %
% %
% %
% Copyright 1999-2018 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/artifact.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/client.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/compare.h"
#include "magick/composite-private.h"
#include "magick/constitute.h"
#include "magick/exception-private.h"
#include "magick/geometry.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/resource_.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/statistic.h"
#include "magick/thread-private.h"
#include "magick/transform.h"
#include "magick/utility.h"
#include "magick/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m p a r e I m a g e C h a n n e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CompareImageChannels() compares one or more image channels of an image
% to a reconstructed image and returns the difference image.
%
% The format of the CompareImageChannels method is:
%
% Image *CompareImageChannels(const Image *image,
% const Image *reconstruct_image,const ChannelType channel,
% const MetricType metric,double *distortion,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o channel: the channel.
%
% o metric: the metric.
%
% o distortion: the computed distortion between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CompareImages(Image *image,const Image *reconstruct_image,
const MetricType metric,double *distortion,ExceptionInfo *exception)
{
Image
*highlight_image;
highlight_image=CompareImageChannels(image,reconstruct_image,
CompositeChannels,metric,distortion,exception);
return(highlight_image);
}
static size_t GetNumberChannels(const Image *image,const ChannelType channel)
{
size_t
channels;
channels=0;
if ((channel & RedChannel) != 0)
channels++;
if ((channel & GreenChannel) != 0)
channels++;
if ((channel & BlueChannel) != 0)
channels++;
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
channels++;
if (((channel & IndexChannel) != 0) && (image->colorspace == CMYKColorspace))
channels++;
return(channels == 0 ? 1UL : channels);
}
static inline MagickBooleanType ValidateImageMorphology(
const Image *magick_restrict image,
const Image *magick_restrict reconstruct_image)
{
/*
Does the image match the reconstructed image morphology?
*/
if (GetNumberChannels(image,DefaultChannels) !=
GetNumberChannels(reconstruct_image,DefaultChannels))
return(MagickFalse);
return(MagickTrue);
}
MagickExport Image *CompareImageChannels(Image *image,
const Image *reconstruct_image,const ChannelType channel,
const MetricType metric,double *distortion,ExceptionInfo *exception)
{
CacheView
*highlight_view,
*image_view,
*reconstruct_view;
const char
*artifact;
double
fuzz;
Image
*clone_image,
*difference_image,
*highlight_image;
MagickBooleanType
status;
MagickPixelPacket
highlight,
lowlight,
zero;
size_t
columns,
rows;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
assert(distortion != (double *) NULL);
*distortion=0.0;
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (metric != PerceptualHashErrorMetric)
if (ValidateImageMorphology(image,reconstruct_image) == MagickFalse)
ThrowImageException(ImageError,"ImageMorphologyDiffers");
status=GetImageChannelDistortion(image,reconstruct_image,channel,metric,
distortion,exception);
if (status == MagickFalse)
return((Image *) NULL);
clone_image=CloneImage(image,0,0,MagickTrue,exception);
if (clone_image == (Image *) NULL)
return((Image *) NULL);
(void) SetImageMask(clone_image,(Image *) NULL);
difference_image=CloneImage(clone_image,0,0,MagickTrue,exception);
clone_image=DestroyImage(clone_image);
if (difference_image == (Image *) NULL)
return((Image *) NULL);
(void) SetImageAlphaChannel(difference_image,OpaqueAlphaChannel);
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
highlight_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (highlight_image == (Image *) NULL)
{
difference_image=DestroyImage(difference_image);
return((Image *) NULL);
}
if (SetImageStorageClass(highlight_image,DirectClass) == MagickFalse)
{
InheritException(exception,&highlight_image->exception);
difference_image=DestroyImage(difference_image);
highlight_image=DestroyImage(highlight_image);
return((Image *) NULL);
}
(void) SetImageMask(highlight_image,(Image *) NULL);
(void) SetImageAlphaChannel(highlight_image,OpaqueAlphaChannel);
(void) QueryMagickColor("#f1001ecc",&highlight,exception);
artifact=GetImageArtifact(image,"compare:highlight-color");
if (artifact != (const char *) NULL)
(void) QueryMagickColor(artifact,&highlight,exception);
(void) QueryMagickColor("#ffffffcc",&lowlight,exception);
artifact=GetImageArtifact(image,"compare:lowlight-color");
if (artifact != (const char *) NULL)
(void) QueryMagickColor(artifact,&lowlight,exception);
if (highlight_image->colorspace == CMYKColorspace)
{
ConvertRGBToCMYK(&highlight);
ConvertRGBToCMYK(&lowlight);
}
/*
Generate difference image.
*/
status=MagickTrue;
fuzz=GetFuzzyColorDistance(image,reconstruct_image);
GetMagickPixelPacket(image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
highlight_view=AcquireAuthenticCacheView(highlight_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,highlight_image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel,
reconstruct_pixel;
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register IndexPacket
*magick_restrict highlight_indexes;
register PixelPacket
*magick_restrict r;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
r=QueueCacheViewAuthenticPixels(highlight_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) ||
(q == (const PixelPacket *) NULL) || (r == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
highlight_indexes=GetCacheViewAuthenticIndexQueue(highlight_view);
pixel=zero;
reconstruct_pixel=zero;
for (x=0; x < (ssize_t) columns; x++)
{
MagickStatusType
difference;
SetMagickPixelPacket(image,p,indexes+x,&pixel);
SetMagickPixelPacket(reconstruct_image,q,reconstruct_indexes+x,
&reconstruct_pixel);
difference=MagickFalse;
if (channel == CompositeChannels)
{
if (IsMagickColorSimilar(&pixel,&reconstruct_pixel) == MagickFalse)
difference=MagickTrue;
}
else
{
double
Da,
distance,
Sa;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(q) :
(QuantumRange-OpaqueOpacity));
if ((channel & RedChannel) != 0)
{
distance=Sa*GetPixelRed(p)-Da*GetPixelRed(q);
if ((distance*distance) > fuzz)
difference=MagickTrue;
}
if ((channel & GreenChannel) != 0)
{
distance=Sa*GetPixelGreen(p)-Da*GetPixelGreen(q);
if ((distance*distance) > fuzz)
difference=MagickTrue;
}
if ((channel & BlueChannel) != 0)
{
distance=Sa*GetPixelBlue(p)-Da*GetPixelBlue(q);
if ((distance*distance) > fuzz)
difference=MagickTrue;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=(double) GetPixelOpacity(p)-GetPixelOpacity(q);
if ((distance*distance) > fuzz)
difference=MagickTrue;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
distance=Sa*indexes[x]-Da*reconstruct_indexes[x];
if ((distance*distance) > fuzz)
difference=MagickTrue;
}
}
if (difference != MagickFalse)
SetPixelPacket(highlight_image,&highlight,r,highlight_indexes+x);
else
SetPixelPacket(highlight_image,&lowlight,r,highlight_indexes+x);
p++;
q++;
r++;
}
sync=SyncCacheViewAuthenticPixels(highlight_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
highlight_view=DestroyCacheView(highlight_view);
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
(void) CompositeImage(difference_image,image->compose,highlight_image,0,0);
highlight_image=DestroyImage(highlight_image);
if (status == MagickFalse)
difference_image=DestroyImage(difference_image);
return(difference_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l D i s t o r t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelDistortion() compares one or more image channels of an image
% to a reconstructed image and returns the specified distortion metric.
%
% The format of the GetImageChannelDistortion method is:
%
% MagickBooleanType GetImageChannelDistortion(const Image *image,
% const Image *reconstruct_image,const ChannelType channel,
% const MetricType metric,double *distortion,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o channel: the channel.
%
% o metric: the metric.
%
% o distortion: the computed distortion between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageDistortion(Image *image,
const Image *reconstruct_image,const MetricType metric,double *distortion,
ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelDistortion(image,reconstruct_image,CompositeChannels,
metric,distortion,exception);
return(status);
}
static MagickBooleanType GetAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,double *distortion,
ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
double
fuzz;
MagickBooleanType
status;
size_t
columns,
rows;
ssize_t
y;
/*
Compute the absolute difference in pixels between two images.
*/
status=MagickTrue;
fuzz=MagickMin(GetNumberChannels(image,channel),
GetNumberChannels(reconstruct_image,channel))*
GetFuzzyColorDistance(image,reconstruct_image);
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
distance,
pixel,
Sa;
MagickBooleanType
difference;
difference=MagickFalse;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(q) :
(QuantumRange-OpaqueOpacity));
distance=0.0;
if ((channel & RedChannel) != 0)
{
pixel=Sa*GetPixelRed(p)-Da*GetPixelRed(q);
distance+=pixel*pixel;
if (distance > fuzz)
{
channel_distortion[RedChannel]++;
difference=MagickTrue;
}
}
if ((channel & GreenChannel) != 0)
{
pixel=Sa*GetPixelGreen(p)-Da*GetPixelGreen(q);
distance+=pixel*pixel;
if (distance > fuzz)
{
channel_distortion[GreenChannel]++;
difference=MagickTrue;
}
}
if ((channel & BlueChannel) != 0)
{
pixel=Sa*GetPixelBlue(p)-Da*GetPixelBlue(q);
distance+=pixel*pixel;
if (distance > fuzz)
{
channel_distortion[BlueChannel]++;
difference=MagickTrue;
}
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
pixel=(double) GetPixelOpacity(p)-GetPixelOpacity(q);
distance+=pixel*pixel;
if (distance > fuzz)
{
channel_distortion[OpacityChannel]++;
difference=MagickTrue;
}
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
pixel=Sa*indexes[x]-Da*reconstruct_indexes[x];
distance+=pixel*pixel;
if (distance > fuzz)
{
channel_distortion[BlackChannel]++;
difference=MagickTrue;
}
}
if (difference != MagickFalse)
channel_distortion[CompositeChannels]++;
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetAbsoluteDistortion)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
return(status);
}
static MagickBooleanType GetFuzzDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
register ssize_t
i;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
MagickRealType
distance,
Da,
Sa;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(reconstruct_image->matte != MagickFalse ?
GetPixelAlpha(q) : (QuantumRange-OpaqueOpacity));
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*(Sa*GetPixelRed(p)-Da*GetPixelRed(q));
channel_distortion[RedChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*(Sa*GetPixelGreen(p)-Da*GetPixelGreen(q));
channel_distortion[GreenChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*(Sa*GetPixelBlue(p)-Da*GetPixelBlue(q));
channel_distortion[BlueChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & OpacityChannel) != 0) && ((image->matte != MagickFalse) ||
(reconstruct_image->matte != MagickFalse)))
{
distance=QuantumScale*((image->matte != MagickFalse ?
GetPixelOpacity(p) : OpaqueOpacity)-
(reconstruct_image->matte != MagickFalse ?
GetPixelOpacity(q): OpaqueOpacity));
channel_distortion[OpacityChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=QuantumScale*(Sa*GetPixelIndex(indexes+x)-
Da*GetPixelIndex(reconstruct_indexes+x));
channel_distortion[BlackChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetFuzzDistortion)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]/=((double) columns*rows);
distortion[CompositeChannels]/=(double) GetNumberChannels(image,channel);
distortion[CompositeChannels]=sqrt(distortion[CompositeChannels]);
return(status);
}
static MagickBooleanType GetMeanAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
register ssize_t
i;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
MagickRealType
distance,
Da,
Sa;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(reconstruct_image->matte != MagickFalse ?
GetPixelAlpha(q) : (QuantumRange-OpaqueOpacity));
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*fabs(Sa*GetPixelRed(p)-Da*GetPixelRed(q));
channel_distortion[RedChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*fabs(Sa*GetPixelGreen(p)-Da*GetPixelGreen(q));
channel_distortion[GreenChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*fabs(Sa*GetPixelBlue(p)-Da*GetPixelBlue(q));
channel_distortion[BlueChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=QuantumScale*fabs(GetPixelOpacity(p)-(double)
GetPixelOpacity(q));
channel_distortion[OpacityChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
distance=QuantumScale*fabs(Sa*GetPixelIndex(indexes+x)-Da*
GetPixelIndex(reconstruct_indexes+x));
channel_distortion[BlackChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetMeanAbsoluteError)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]/=((double) columns*rows);
distortion[CompositeChannels]/=(double) GetNumberChannels(image,channel);
return(status);
}
static MagickBooleanType GetMeanErrorPerPixel(Image *image,
const Image *reconstruct_image,const ChannelType channel,double *distortion,
ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
MagickRealType
area,
gamma,
maximum_error,
mean_error;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
area=0.0;
maximum_error=0.0;
mean_error=0.0;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) rows; y++)
{
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
for (x=0; x < (ssize_t) columns; x++)
{
MagickRealType
distance,
Da,
Sa;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(reconstruct_image->matte != MagickFalse ?
GetPixelAlpha(q) : (QuantumRange-OpaqueOpacity));
if ((channel & RedChannel) != 0)
{
distance=fabs(Sa*GetPixelRed(p)-Da*GetPixelRed(q));
distortion[RedChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if ((channel & GreenChannel) != 0)
{
distance=fabs(Sa*GetPixelGreen(p)-Da*GetPixelGreen(q));
distortion[GreenChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if ((channel & BlueChannel) != 0)
{
distance=fabs(Sa*GetPixelBlue(p)-Da*GetPixelBlue(q));
distortion[BlueChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=fabs((double) GetPixelOpacity(p)-
GetPixelOpacity(q));
distortion[OpacityChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=fabs(Sa*GetPixelIndex(indexes+x)-Da*
GetPixelIndex(reconstruct_indexes+x));
distortion[BlackChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
p++;
q++;
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
gamma=PerceptibleReciprocal(area);
image->error.mean_error_per_pixel=gamma*distortion[CompositeChannels];
image->error.normalized_mean_error=gamma*QuantumScale*QuantumScale*mean_error;
image->error.normalized_maximum_error=QuantumScale*maximum_error;
return(status);
}
static MagickBooleanType GetMeanSquaredDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
register ssize_t
i;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
MagickRealType
distance,
Da,
Sa;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(reconstruct_image->matte != MagickFalse ?
GetPixelAlpha(q) : (QuantumRange-OpaqueOpacity));
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*(Sa*GetPixelRed(p)-Da*GetPixelRed(q));
channel_distortion[RedChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*(Sa*GetPixelGreen(p)-Da*GetPixelGreen(q));
channel_distortion[GreenChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*(Sa*GetPixelBlue(p)-Da*GetPixelBlue(q));
channel_distortion[BlueChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=QuantumScale*(GetPixelOpacity(p)-(MagickRealType)
GetPixelOpacity(q));
channel_distortion[OpacityChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=QuantumScale*(Sa*GetPixelIndex(indexes+x)-Da*
GetPixelIndex(reconstruct_indexes+x));
channel_distortion[BlackChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetMeanSquaredError)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]/=((double) columns*rows);
distortion[CompositeChannels]/=(double) GetNumberChannels(image,channel);
return(status);
}
static MagickBooleanType GetNormalizedCrossCorrelationDistortion(
const Image *image,const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
#define SimilarityImageTag "Similarity/Image"
CacheView
*image_view,
*reconstruct_view;
ChannelStatistics
*image_statistics,
*reconstruct_statistics;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickRealType
area;
register ssize_t
i;
size_t
columns,
rows;
ssize_t
y;
/*
Normalize to account for variation due to lighting and exposure condition.
*/
image_statistics=GetImageChannelStatistics(image,exception);
reconstruct_statistics=GetImageChannelStatistics(reconstruct_image,exception);
if ((image_statistics == (ChannelStatistics *) NULL) ||
(reconstruct_statistics == (ChannelStatistics *) NULL))
{
if (image_statistics != (ChannelStatistics *) NULL)
image_statistics=(ChannelStatistics *) RelinquishMagickMemory(
image_statistics);
if (reconstruct_statistics != (ChannelStatistics *) NULL)
reconstruct_statistics=(ChannelStatistics *) RelinquishMagickMemory(
reconstruct_statistics);
return(MagickFalse);
}
status=MagickTrue;
progress=0;
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]=0.0;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
area=1.0/((MagickRealType) columns*rows);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) rows; y++)
{
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
for (x=0; x < (ssize_t) columns; x++)
{
MagickRealType
Da,
Sa;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(reconstruct_image->matte != MagickFalse ?
GetPixelAlpha(q) : (QuantumRange-OpaqueOpacity));
if ((channel & RedChannel) != 0)
distortion[RedChannel]+=area*QuantumScale*(Sa*GetPixelRed(p)-
image_statistics[RedChannel].mean)*(Da*GetPixelRed(q)-
reconstruct_statistics[RedChannel].mean);
if ((channel & GreenChannel) != 0)
distortion[GreenChannel]+=area*QuantumScale*(Sa*GetPixelGreen(p)-
image_statistics[GreenChannel].mean)*(Da*GetPixelGreen(q)-
reconstruct_statistics[GreenChannel].mean);
if ((channel & BlueChannel) != 0)
distortion[BlueChannel]+=area*QuantumScale*(Sa*GetPixelBlue(p)-
image_statistics[BlueChannel].mean)*(Da*GetPixelBlue(q)-
reconstruct_statistics[BlueChannel].mean);
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
distortion[OpacityChannel]+=area*QuantumScale*(
GetPixelOpacity(p)-image_statistics[OpacityChannel].mean)*
(GetPixelOpacity(q)-reconstruct_statistics[OpacityChannel].mean);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
distortion[BlackChannel]+=area*QuantumScale*(Sa*
GetPixelIndex(indexes+x)-image_statistics[BlackChannel].mean)*(Da*
GetPixelIndex(reconstruct_indexes+x)-
reconstruct_statistics[BlackChannel].mean);
p++;
q++;
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SimilarityImageTag,progress++,rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
/*
Divide by the standard deviation.
*/
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
double
gamma;
gamma=image_statistics[i].standard_deviation*
reconstruct_statistics[i].standard_deviation;
gamma=PerceptibleReciprocal(gamma);
distortion[i]=QuantumRange*gamma*distortion[i];
}
distortion[CompositeChannels]=0.0;
if ((channel & RedChannel) != 0)
distortion[CompositeChannels]+=distortion[RedChannel]*
distortion[RedChannel];
if ((channel & GreenChannel) != 0)
distortion[CompositeChannels]+=distortion[GreenChannel]*
distortion[GreenChannel];
if ((channel & BlueChannel) != 0)
distortion[CompositeChannels]+=distortion[BlueChannel]*
distortion[BlueChannel];
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
distortion[CompositeChannels]+=distortion[OpacityChannel]*
distortion[OpacityChannel];
if (((channel & IndexChannel) != 0) && (image->colorspace == CMYKColorspace))
distortion[CompositeChannels]+=distortion[BlackChannel]*
distortion[BlackChannel];
distortion[CompositeChannels]=sqrt(distortion[CompositeChannels]/
GetNumberChannels(image,channel));
/*
Free resources.
*/
reconstruct_statistics=(ChannelStatistics *) RelinquishMagickMemory(
reconstruct_statistics);
image_statistics=(ChannelStatistics *) RelinquishMagickMemory(
image_statistics);
return(status);
}
static MagickBooleanType GetPeakAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
MagickRealType
distance,
Da,
Sa;
Sa=QuantumScale*(image->matte != MagickFalse ? GetPixelAlpha(p) :
(QuantumRange-OpaqueOpacity));
Da=QuantumScale*(reconstruct_image->matte != MagickFalse ?
GetPixelAlpha(q) : (QuantumRange-OpaqueOpacity));
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*fabs(Sa*GetPixelRed(p)-Da*GetPixelRed(q));
if (distance > channel_distortion[RedChannel])
channel_distortion[RedChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*fabs(Sa*GetPixelGreen(p)-Da*GetPixelGreen(q));
if (distance > channel_distortion[GreenChannel])
channel_distortion[GreenChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*fabs(Sa*GetPixelBlue(p)-Da*GetPixelBlue(q));
if (distance > channel_distortion[BlueChannel])
channel_distortion[BlueChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=QuantumScale*fabs(GetPixelOpacity(p)-(double)
GetPixelOpacity(q));
if (distance > channel_distortion[OpacityChannel])
channel_distortion[OpacityChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=QuantumScale*fabs(Sa*GetPixelIndex(indexes+x)-Da*
GetPixelIndex(reconstruct_indexes+x));
if (distance > channel_distortion[BlackChannel])
channel_distortion[BlackChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetPeakAbsoluteError)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
if (channel_distortion[i] > distortion[i])
distortion[i]=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
return(status);
}
static inline double MagickLog10(const double x)
{
#define Log10Epsilon (1.0e-11)
if (fabs(x) < Log10Epsilon)
return(log10(Log10Epsilon));
return(log10(fabs(x)));
}
static MagickBooleanType GetPeakSignalToNoiseRatio(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetMeanSquaredDistortion(image,reconstruct_image,channel,distortion,
exception);
if ((channel & RedChannel) != 0)
{
if (fabs(distortion[RedChannel]) < MagickEpsilon)
distortion[RedChannel]=INFINITY;
else
distortion[RedChannel]=10.0*MagickLog10(1.0)-10.0*
MagickLog10(distortion[RedChannel]);
}
if ((channel & GreenChannel) != 0)
{
if (fabs(distortion[GreenChannel]) < MagickEpsilon)
distortion[GreenChannel]=INFINITY;
else
distortion[GreenChannel]=10.0*MagickLog10(1.0)-10.0*
MagickLog10(distortion[GreenChannel]);
}
if ((channel & BlueChannel) != 0)
{
if (fabs(distortion[BlueChannel]) < MagickEpsilon)
distortion[BlueChannel]=INFINITY;
else
distortion[BlueChannel]=10.0*MagickLog10(1.0)-10.0*
MagickLog10(distortion[BlueChannel]);
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
{
if (fabs(distortion[OpacityChannel]) < MagickEpsilon)
distortion[OpacityChannel]=INFINITY;
else
distortion[OpacityChannel]=10.0*MagickLog10(1.0)-10.0*
MagickLog10(distortion[OpacityChannel]);
}
if (((channel & IndexChannel) != 0) && (image->colorspace == CMYKColorspace))
{
if (fabs(distortion[BlackChannel]) < MagickEpsilon)
distortion[BlackChannel]=INFINITY;
else
distortion[BlackChannel]=10.0*MagickLog10(1.0)-10.0*
MagickLog10(distortion[BlackChannel]);
}
if (fabs(distortion[CompositeChannels]) < MagickEpsilon)
distortion[CompositeChannels]=INFINITY;
else
distortion[CompositeChannels]=10.0*MagickLog10(1.0)-10.0*
MagickLog10(distortion[CompositeChannels]);
return(status);
}
static MagickBooleanType GetPerceptualHashDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,double *distortion,
ExceptionInfo *exception)
{
ChannelPerceptualHash
*image_phash,
*reconstruct_phash;
double
difference;
register ssize_t
i;
/*
Compute perceptual hash in the sRGB colorspace.
*/
image_phash=GetImageChannelPerceptualHash(image,exception);
if (image_phash == (ChannelPerceptualHash *) NULL)
return(MagickFalse);
reconstruct_phash=GetImageChannelPerceptualHash(reconstruct_image,exception);
if (reconstruct_phash == (ChannelPerceptualHash *) NULL)
{
image_phash=(ChannelPerceptualHash *) RelinquishMagickMemory(image_phash);
return(MagickFalse);
}
for (i=0; i < MaximumNumberOfImageMoments; i++)
{
/*
Compute sum of moment differences squared.
*/
if ((channel & RedChannel) != 0)
{
difference=reconstruct_phash[RedChannel].P[i]-
image_phash[RedChannel].P[i];
distortion[RedChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if ((channel & GreenChannel) != 0)
{
difference=reconstruct_phash[GreenChannel].P[i]-
image_phash[GreenChannel].P[i];
distortion[GreenChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if ((channel & BlueChannel) != 0)
{
difference=reconstruct_phash[BlueChannel].P[i]-
image_phash[BlueChannel].P[i];
distortion[BlueChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse) &&
(reconstruct_image->matte != MagickFalse))
{
difference=reconstruct_phash[OpacityChannel].P[i]-
image_phash[OpacityChannel].P[i];
distortion[OpacityChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
difference=reconstruct_phash[IndexChannel].P[i]-
image_phash[IndexChannel].P[i];
distortion[IndexChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
}
/*
Compute perceptual hash in the HCLP colorspace.
*/
for (i=0; i < MaximumNumberOfImageMoments; i++)
{
/*
Compute sum of moment differences squared.
*/
if ((channel & RedChannel) != 0)
{
difference=reconstruct_phash[RedChannel].Q[i]-
image_phash[RedChannel].Q[i];
distortion[RedChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if ((channel & GreenChannel) != 0)
{
difference=reconstruct_phash[GreenChannel].Q[i]-
image_phash[GreenChannel].Q[i];
distortion[GreenChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if ((channel & BlueChannel) != 0)
{
difference=reconstruct_phash[BlueChannel].Q[i]-
image_phash[BlueChannel].Q[i];
distortion[BlueChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse) &&
(reconstruct_image->matte != MagickFalse))
{
difference=reconstruct_phash[OpacityChannel].Q[i]-
image_phash[OpacityChannel].Q[i];
distortion[OpacityChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
difference=reconstruct_phash[IndexChannel].Q[i]-
image_phash[IndexChannel].Q[i];
distortion[IndexChannel]+=difference*difference;
distortion[CompositeChannels]+=difference*difference;
}
}
/*
Free resources.
*/
reconstruct_phash=(ChannelPerceptualHash *) RelinquishMagickMemory(
reconstruct_phash);
image_phash=(ChannelPerceptualHash *) RelinquishMagickMemory(image_phash);
return(MagickTrue);
}
static MagickBooleanType GetRootMeanSquaredDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,double *distortion,
ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetMeanSquaredDistortion(image,reconstruct_image,channel,distortion,
exception);
if ((channel & RedChannel) != 0)
distortion[RedChannel]=sqrt(distortion[RedChannel]);
if ((channel & GreenChannel) != 0)
distortion[GreenChannel]=sqrt(distortion[GreenChannel]);
if ((channel & BlueChannel) != 0)
distortion[BlueChannel]=sqrt(distortion[BlueChannel]);
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
distortion[OpacityChannel]=sqrt(distortion[OpacityChannel]);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
distortion[BlackChannel]=sqrt(distortion[BlackChannel]);
distortion[CompositeChannels]=sqrt(distortion[CompositeChannels]);
return(status);
}
MagickExport MagickBooleanType GetImageChannelDistortion(Image *image,
const Image *reconstruct_image,const ChannelType channel,
const MetricType metric,double *distortion,ExceptionInfo *exception)
{
double
*channel_distortion;
MagickBooleanType
status;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
assert(distortion != (double *) NULL);
*distortion=0.0;
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (metric != PerceptualHashErrorMetric)
if (ValidateImageMorphology(image,reconstruct_image) == MagickFalse)
ThrowBinaryException(ImageError,"ImageMorphologyDiffers",image->filename);
/*
Get image distortion.
*/
length=CompositeChannels+1UL;
channel_distortion=(double *) AcquireQuantumMemory(length,
sizeof(*channel_distortion));
if (channel_distortion == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(channel_distortion,0,length*sizeof(*channel_distortion));
switch (metric)
{
case AbsoluteErrorMetric:
{
status=GetAbsoluteDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case FuzzErrorMetric:
{
status=GetFuzzDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case MeanAbsoluteErrorMetric:
{
status=GetMeanAbsoluteDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case MeanErrorPerPixelMetric:
{
status=GetMeanErrorPerPixel(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case MeanSquaredErrorMetric:
{
status=GetMeanSquaredDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case NormalizedCrossCorrelationErrorMetric:
default:
{
status=GetNormalizedCrossCorrelationDistortion(image,reconstruct_image,
channel,channel_distortion,exception);
break;
}
case PeakAbsoluteErrorMetric:
{
status=GetPeakAbsoluteDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case PeakSignalToNoiseRatioMetric:
{
status=GetPeakSignalToNoiseRatio(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case PerceptualHashErrorMetric:
{
status=GetPerceptualHashDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case RootMeanSquaredErrorMetric:
{
status=GetRootMeanSquaredDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
}
*distortion=channel_distortion[CompositeChannels];
channel_distortion=(double *) RelinquishMagickMemory(channel_distortion);
(void) FormatImageProperty(image,"distortion","%.*g",GetMagickPrecision(),
*distortion);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l D i s t o r t i o n s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelDistortions() compares the image channels of an image to a
% reconstructed image and returns the specified distortion metric for each
% channel.
%
% The format of the GetImageChannelDistortions method is:
%
% double *GetImageChannelDistortions(const Image *image,
% const Image *reconstruct_image,const MetricType metric,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o metric: the metric.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport double *GetImageChannelDistortions(Image *image,
const Image *reconstruct_image,const MetricType metric,
ExceptionInfo *exception)
{
double
*channel_distortion;
MagickBooleanType
status;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (metric != PerceptualHashErrorMetric)
if (ValidateImageMorphology(image,reconstruct_image) == MagickFalse)
{
(void) ThrowMagickException(&image->exception,GetMagickModule(),
ImageError,"ImageMorphologyDiffers","`%s'",image->filename);
return((double *) NULL);
}
/*
Get image distortion.
*/
length=CompositeChannels+1UL;
channel_distortion=(double *) AcquireQuantumMemory(length,
sizeof(*channel_distortion));
if (channel_distortion == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(channel_distortion,0,length*
sizeof(*channel_distortion));
status=MagickTrue;
switch (metric)
{
case AbsoluteErrorMetric:
{
status=GetAbsoluteDistortion(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case FuzzErrorMetric:
{
status=GetFuzzDistortion(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case MeanAbsoluteErrorMetric:
{
status=GetMeanAbsoluteDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case MeanErrorPerPixelMetric:
{
status=GetMeanErrorPerPixel(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case MeanSquaredErrorMetric:
{
status=GetMeanSquaredDistortion(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case NormalizedCrossCorrelationErrorMetric:
default:
{
status=GetNormalizedCrossCorrelationDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case PeakAbsoluteErrorMetric:
{
status=GetPeakAbsoluteDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case PeakSignalToNoiseRatioMetric:
{
status=GetPeakSignalToNoiseRatio(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case PerceptualHashErrorMetric:
{
status=GetPerceptualHashDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case RootMeanSquaredErrorMetric:
{
status=GetRootMeanSquaredDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
}
if (status == MagickFalse)
{
channel_distortion=(double *) RelinquishMagickMemory(channel_distortion);
return((double *) NULL);
}
return(channel_distortion);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e s E q u a l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImagesEqual() measures the difference between colors at each pixel
% location of two images. A value other than 0 means the colors match
% exactly. Otherwise an error measure is computed by summing over all
% pixels in an image the distance squared in RGB space between each image
% pixel and its corresponding pixel in the reconstruct image. The error
% measure is assigned to these image members:
%
% o mean_error_per_pixel: The mean error for any single pixel in
% the image.
%
% o normalized_mean_error: The normalized mean quantization error for
% any single pixel in the image. This distance measure is normalized to
% a range between 0 and 1. It is independent of the range of red, green,
% and blue values in the image.
%
% o normalized_maximum_error: The normalized maximum quantization
% error for any single pixel in the image. This distance measure is
% normalized to a range between 0 and 1. It is independent of the range
% of red, green, and blue values in your image.
%
% A small normalized mean square error, accessed as
% image->normalized_mean_error, suggests the images are very similar in
% spatial layout and color.
%
% The format of the IsImagesEqual method is:
%
% MagickBooleanType IsImagesEqual(Image *image,
% const Image *reconstruct_image)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
*/
MagickExport MagickBooleanType IsImagesEqual(Image *image,
const Image *reconstruct_image)
{
CacheView
*image_view,
*reconstruct_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickRealType
area,
gamma,
maximum_error,
mean_error,
mean_error_per_pixel;
size_t
columns,
rows;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
exception=(&image->exception);
if (ValidateImageMorphology(image,reconstruct_image) == MagickFalse)
ThrowBinaryException(ImageError,"ImageMorphologyDiffers",image->filename);
area=0.0;
maximum_error=0.0;
mean_error_per_pixel=0.0;
mean_error=0.0;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) rows; y++)
{
register const IndexPacket
*magick_restrict indexes,
*magick_restrict reconstruct_indexes;
register const PixelPacket
*magick_restrict p,
*magick_restrict q;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
for (x=0; x < (ssize_t) columns; x++)
{
MagickRealType
distance;
distance=fabs(GetPixelRed(p)-(double) GetPixelRed(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
distance=fabs(GetPixelGreen(p)-(double) GetPixelGreen(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
distance=fabs(GetPixelBlue(p)-(double) GetPixelBlue(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
if (image->matte != MagickFalse)
{
distance=fabs(GetPixelOpacity(p)-(double) GetPixelOpacity(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if ((image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=fabs(GetPixelIndex(indexes+x)-(double)
GetPixelIndex(reconstruct_indexes+x));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
p++;
q++;
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
gamma=PerceptibleReciprocal(area);
image->error.mean_error_per_pixel=gamma*mean_error_per_pixel;
image->error.normalized_mean_error=gamma*QuantumScale*QuantumScale*mean_error;
image->error.normalized_maximum_error=QuantumScale*maximum_error;
status=image->error.mean_error_per_pixel == 0.0 ? MagickTrue : MagickFalse;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S i m i l a r i t y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SimilarityImage() compares the reference image of the image and returns the
% best match offset. In addition, it returns a similarity image such that an
% exact match location is completely white and if none of the pixels match,
% black, otherwise some gray level in-between.
%
% The format of the SimilarityImageImage method is:
%
% Image *SimilarityImage(const Image *image,const Image *reference,
% RectangleInfo *offset,double *similarity,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reference: find an area of the image that closely resembles this image.
%
% o the best match offset of the reference image within the image.
%
% o similarity: the computed similarity between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double GetSimilarityMetric(const Image *image,const Image *reference,
const MetricType metric,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
double
distortion;
Image
*similarity_image;
MagickBooleanType
status;
RectangleInfo
geometry;
SetGeometry(reference,&geometry);
geometry.x=x_offset;
geometry.y=y_offset;
similarity_image=CropImage(image,&geometry,exception);
if (similarity_image == (Image *) NULL)
return(0.0);
distortion=0.0;
status=GetImageDistortion(similarity_image,reference,metric,&distortion,
exception);
(void) status;
similarity_image=DestroyImage(similarity_image);
return(distortion);
}
MagickExport Image *SimilarityImage(Image *image,const Image *reference,
RectangleInfo *offset,double *similarity_metric,ExceptionInfo *exception)
{
Image
*similarity_image;
similarity_image=SimilarityMetricImage(image,reference,
RootMeanSquaredErrorMetric,offset,similarity_metric,exception);
return(similarity_image);
}
MagickExport Image *SimilarityMetricImage(Image *image,const Image *reference,
const MetricType metric,RectangleInfo *offset,double *similarity_metric,
ExceptionInfo *exception)
{
#define SimilarityImageTag "Similarity/Image"
CacheView
*similarity_view;
const char
*artifact;
double
similarity_threshold;
Image
*similarity_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
assert(offset != (RectangleInfo *) NULL);
SetGeometry(reference,offset);
*similarity_metric=MagickMaximumValue;
if (ValidateImageMorphology(image,reference) == MagickFalse)
ThrowImageException(ImageError,"ImageMorphologyDiffers");
similarity_image=CloneImage(image,image->columns-reference->columns+1,
image->rows-reference->rows+1,MagickTrue,exception);
if (similarity_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(similarity_image,DirectClass) == MagickFalse)
{
InheritException(exception,&similarity_image->exception);
similarity_image=DestroyImage(similarity_image);
return((Image *) NULL);
}
(void) SetImageAlphaChannel(similarity_image,DeactivateAlphaChannel);
/*
Measure similarity of reference image against image.
*/
similarity_threshold=(-1.0);
artifact=GetImageArtifact(image,"compare:similarity-threshold");
if (artifact != (const char *) NULL)
similarity_threshold=StringToDouble(artifact,(char **) NULL);
status=MagickTrue;
progress=0;
similarity_view=AcquireVirtualCacheView(similarity_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) \
shared(progress,status,similarity_metric) \
magick_number_threads(image,image,image->rows-reference->rows+1,1)
#endif
for (y=0; y < (ssize_t) (image->rows-reference->rows+1); y++)
{
double
similarity;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp flush(similarity_metric)
#endif
if (*similarity_metric <= similarity_threshold)
continue;
q=GetCacheViewAuthenticPixels(similarity_view,0,y,similarity_image->columns,
1,exception);
if (q == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) (image->columns-reference->columns+1); x++)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp flush(similarity_metric)
#endif
if (*similarity_metric <= similarity_threshold)
break;
similarity=GetSimilarityMetric(image,reference,metric,x,y,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SimilarityImage)
#endif
if ((metric == NormalizedCrossCorrelationErrorMetric) ||
(metric == UndefinedErrorMetric))
similarity=1.0-similarity;
if (similarity < *similarity_metric)
{
*similarity_metric=similarity;
offset->x=x;
offset->y=y;
}
if (metric == PerceptualHashErrorMetric)
similarity=MagickMin(0.01*similarity,1.0);
SetPixelRed(q,ClampToQuantum(QuantumRange-QuantumRange*similarity));
SetPixelGreen(q,GetPixelRed(q));
SetPixelBlue(q,GetPixelRed(q));
q++;
}
if (SyncCacheViewAuthenticPixels(similarity_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SimilarityImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
similarity_view=DestroyCacheView(similarity_view);
if (status == MagickFalse)
similarity_image=DestroyImage(similarity_image);
return(similarity_image);
}
|
5500.c | /* POLYBENCH/GPU-OPENMP
*
* This file is a part of the Polybench/GPU-OpenMP suite
*
* Contact:
* William Killian <killian@udel.edu>
*
* Copyright 2013, The University of Delaware
*/
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <math.h>
/* Include polybench common header. */
#include <polybench.h>
/* Include benchmark-specific header. */
/* Default data type is double, default size is 4096x4096. */
#include "convolution-2d.h"
/* Array initialization. */
static
void init_array (int ni, int nj,
DATA_TYPE POLYBENCH_2D(A,NI,NJ,ni,nj))
{
// printf("Initializing Array\n");
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nj; j++)
{
A[i][j] = ((DATA_TYPE) (i + j) / nj);
}
}
/* DCE code. Must scan the entire live-out data.
Can be used also to check the correctness of the output. */
static
void print_array(int ni, int nj,
DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj))
{
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nj; j++) {
fprintf(stderr, DATA_PRINTF_MODIFIER, B[i][j]);
if ((i * NJ + j) % 20 == 0) fprintf(stderr, "\n");
}
fprintf(stderr, "\n");
}
/* Main computational kernel. The whole function will be timed,
including the call and return. */
static
void kernel_conv2d(int ni,
int nj,
DATA_TYPE POLYBENCH_2D(A,NI,NJ,ni,nj),
DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj))
{
int i, j;
#pragma scop
#pragma omp
for (i = 1; i < _PB_NI - 1; ++i)
{
for (j = 1; j < _PB_NJ - 1; ++j)
{
B[i][j] = 0.2 * A[i-1][j-1] + 0.5 * A[i-1][j] + -0.8 * A[i-1][j+1]
+ -0.3 * A[ i ][j-1] + 0.6 * A[ i ][j] + -0.9 * A[ i ][j+1]
+ 0.4 * A[i+1][j-1] + 0.7 * A[i+1][j] + 0.1 * A[i+1][j+1];
}
}
#pragma endscop
// printf("Kernal computation complete !!\n");
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int ni = NI;
int nj = NJ;
/* Variable declaration/allocation. */
POLYBENCH_2D_ARRAY_DECL(A, DATA_TYPE, NI, NJ, ni, nj);
POLYBENCH_2D_ARRAY_DECL(B, DATA_TYPE, NI, NJ, ni, nj);
/* Initialize array(s). */
init_array (ni, nj, POLYBENCH_ARRAY(A));
/* Start timer. */
//polybench_start_instruments;
polybench_timer_start();
/* Run kernel. */
kernel_conv2d (ni, nj, POLYBENCH_ARRAY(A), POLYBENCH_ARRAY(B));
/* Stop and print timer. */
polybench_timer_stop();
polybench_timer_print();
//polybench_stop_instruments;
//polybench_print_instruments;
/* Prevent dead-code elimination. All live-out data must be printed
by the function call in argument. */
polybench_prevent_dce(print_array(ni, nj, POLYBENCH_ARRAY(B)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(A);
POLYBENCH_FREE_ARRAY(B);
return 0;
}
|
GB_unop__log10_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__log10_fp64_fp64)
// op(A') function: GB (_unop_tran__log10_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = log10 (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = log10 (x) ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = log10 (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LOG10 || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__log10_fp64_fp64)
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = log10 (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
double aij = Ax [p] ;
double z = aij ;
Cx [p] = log10 (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__log10_fp64_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
cache.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC AAA CCCC H H EEEEE %
% C A A C H H E %
% C AAAAA C HHHHH EEE %
% C A A C H H E %
% CCCC A A CCCC H H EEEEE %
% %
% %
% MagickCore Pixel Cache Methods %
% %
% Software Design %
% Cristy %
% July 1999 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/distribute-cache-private.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/nt-base-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/policy.h"
#include "MagickCore/quantum.h"
#include "MagickCore/random_.h"
#include "MagickCore/registry.h"
#include "MagickCore/resource_.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/splay-tree.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
#if defined(MAGICKCORE_ZLIB_DELEGATE)
#include "zlib.h"
#endif
/*
Define declarations.
*/
#define CacheTick(offset,extent) QuantumTick((MagickOffsetType) offset,extent)
#define IsFileDescriptorLimitExceeded() (GetMagickResource(FileResource) > \
GetMagickResourceLimit(FileResource) ? MagickTrue : MagickFalse)
/*
Typedef declarations.
*/
typedef struct _MagickModulo
{
ssize_t
quotient,
remainder;
} MagickModulo;
/*
Forward declarations.
*/
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static Cache
GetImagePixelCache(Image *,const MagickBooleanType,ExceptionInfo *)
magick_hot_spot;
static const Quantum
*GetVirtualPixelCache(const Image *,const VirtualPixelMethod,const ssize_t,
const ssize_t,const size_t,const size_t,ExceptionInfo *),
*GetVirtualPixelsCache(const Image *);
static const void
*GetVirtualMetacontentFromCache(const Image *);
static MagickBooleanType
GetOneAuthenticPixelFromCache(Image *,const ssize_t,const ssize_t,Quantum *,
ExceptionInfo *),
GetOneVirtualPixelFromCache(const Image *,const VirtualPixelMethod,
const ssize_t,const ssize_t,Quantum *,ExceptionInfo *),
OpenPixelCache(Image *,const MapMode,ExceptionInfo *),
OpenPixelCacheOnDisk(CacheInfo *,const MapMode),
ReadPixelCachePixels(CacheInfo *magick_restrict,NexusInfo *magick_restrict,
ExceptionInfo *),
ReadPixelCacheMetacontent(CacheInfo *magick_restrict,
NexusInfo *magick_restrict,ExceptionInfo *),
SyncAuthenticPixelsCache(Image *,ExceptionInfo *),
WritePixelCachePixels(CacheInfo *magick_restrict,NexusInfo *magick_restrict,
ExceptionInfo *),
WritePixelCacheMetacontent(CacheInfo *,NexusInfo *magick_restrict,
ExceptionInfo *);
static Quantum
*GetAuthenticPixelsCache(Image *,const ssize_t,const ssize_t,const size_t,
const size_t,ExceptionInfo *),
*QueueAuthenticPixelsCache(Image *,const ssize_t,const ssize_t,const size_t,
const size_t,ExceptionInfo *),
*SetPixelCacheNexusPixels(const CacheInfo *,const MapMode,
const RectangleInfo *,const MagickBooleanType,NexusInfo *,ExceptionInfo *)
magick_hot_spot;
#if defined(MAGICKCORE_OPENCL_SUPPORT)
static void
CopyOpenCLBuffer(CacheInfo *magick_restrict);
#endif
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
/*
Global declarations.
*/
static SemaphoreInfo
*cache_semaphore = (SemaphoreInfo *) NULL;
static ssize_t
cache_anonymous_memory = (-1);
static time_t
cache_epoch = 0;
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A c q u i r e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquirePixelCache() acquires a pixel cache.
%
% The format of the AcquirePixelCache() method is:
%
% Cache AcquirePixelCache(const size_t number_threads)
%
% A description of each parameter follows:
%
% o number_threads: the number of nexus threads.
%
*/
MagickPrivate Cache AcquirePixelCache(const size_t number_threads)
{
CacheInfo
*magick_restrict cache_info;
char
*value;
cache_info=(CacheInfo *) AcquireAlignedMemory(1,sizeof(*cache_info));
if (cache_info == (CacheInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(cache_info,0,sizeof(*cache_info));
cache_info->type=UndefinedCache;
cache_info->mode=IOMode;
cache_info->disk_mode=IOMode;
cache_info->colorspace=sRGBColorspace;
cache_info->file=(-1);
cache_info->id=GetMagickThreadId();
cache_info->number_threads=number_threads;
if (GetOpenMPMaximumThreads() > cache_info->number_threads)
cache_info->number_threads=GetOpenMPMaximumThreads();
if (GetMagickResourceLimit(ThreadResource) > cache_info->number_threads)
cache_info->number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
if (cache_info->number_threads == 0)
cache_info->number_threads=1;
cache_info->nexus_info=AcquirePixelCacheNexus(cache_info->number_threads);
if (cache_info->nexus_info == (NexusInfo **) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
value=GetEnvironmentValue("MAGICK_SYNCHRONIZE");
if (value != (const char *) NULL)
{
cache_info->synchronize=IsStringTrue(value);
value=DestroyString(value);
}
value=GetPolicyValue("cache:synchronize");
if (value != (const char *) NULL)
{
cache_info->synchronize=IsStringTrue(value);
value=DestroyString(value);
}
cache_info->semaphore=AcquireSemaphoreInfo();
cache_info->reference_count=1;
cache_info->file_semaphore=AcquireSemaphoreInfo();
cache_info->debug=IsEventLogging();
cache_info->signature=MagickCoreSignature;
return((Cache ) cache_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquirePixelCacheNexus() allocates the NexusInfo structure.
%
% The format of the AcquirePixelCacheNexus method is:
%
% NexusInfo **AcquirePixelCacheNexus(const size_t number_threads)
%
% A description of each parameter follows:
%
% o number_threads: the number of nexus threads.
%
*/
MagickPrivate NexusInfo **AcquirePixelCacheNexus(const size_t number_threads)
{
NexusInfo
**magick_restrict nexus_info;
register ssize_t
i;
nexus_info=(NexusInfo **) MagickAssumeAligned(AcquireAlignedMemory(
number_threads,sizeof(*nexus_info)));
if (nexus_info == (NexusInfo **) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
nexus_info[0]=(NexusInfo *) AcquireQuantumMemory(number_threads,
sizeof(**nexus_info));
if (nexus_info[0] == (NexusInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(nexus_info[0],0,number_threads*sizeof(**nexus_info));
for (i=0; i < (ssize_t) number_threads; i++)
{
nexus_info[i]=(&nexus_info[0][i]);
nexus_info[i]->signature=MagickCoreSignature;
}
return(nexus_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e P i x e l C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquirePixelCachePixels() returns the pixels associated with the specified
% image.
%
% The format of the AcquirePixelCachePixels() method is:
%
% void *AcquirePixelCachePixels(const Image *image,size_t *length,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o length: the pixel cache length.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void *AcquirePixelCachePixels(const Image *image,size_t *length,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
*length=0;
if ((cache_info->type != MemoryCache) && (cache_info->type != MapCache))
return((void *) NULL);
*length=(size_t) cache_info->length;
return(cache_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C a c h e C o m p o n e n t G e n e s i s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CacheComponentGenesis() instantiates the cache component.
%
% The format of the CacheComponentGenesis method is:
%
% MagickBooleanType CacheComponentGenesis(void)
%
*/
MagickPrivate MagickBooleanType CacheComponentGenesis(void)
{
if (cache_semaphore == (SemaphoreInfo *) NULL)
cache_semaphore=AcquireSemaphoreInfo();
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C a c h e C o m p o n e n t T e r m i n u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CacheComponentTerminus() destroys the cache component.
%
% The format of the CacheComponentTerminus() method is:
%
% CacheComponentTerminus(void)
%
*/
MagickPrivate void CacheComponentTerminus(void)
{
if (cache_semaphore == (SemaphoreInfo *) NULL)
ActivateSemaphoreInfo(&cache_semaphore);
/* no op-- nothing to destroy */
RelinquishSemaphoreInfo(&cache_semaphore);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l i p P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClipPixelCacheNexus() clips the cache nexus as defined by the image clip
% mask. The method returns MagickTrue if the pixel region is clipped,
% otherwise MagickFalse.
%
% The format of the ClipPixelCacheNexus() method is:
%
% MagickBooleanType ClipPixelCacheNexus(Image *image,NexusInfo *nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o nexus_info: the cache nexus to clip.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType ClipPixelCacheNexus(Image *image,
NexusInfo *nexus_info,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickSizeType
number_pixels;
NexusInfo
**magick_restrict image_nexus;
register Quantum
*magick_restrict p,
*magick_restrict q;
register ssize_t
n;
/*
Apply clip mask.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->channels & WriteMaskChannel) == 0)
return(MagickTrue);
cache_info=(CacheInfo *) image->cache;
if (cache_info == (Cache) NULL)
return(MagickFalse);
image_nexus=AcquirePixelCacheNexus(1);
p=GetAuthenticPixelCacheNexus(image,nexus_info->region.x,nexus_info->region.y,
nexus_info->region.width,nexus_info->region.height,image_nexus[0],
exception);
q=nexus_info->pixels;
number_pixels=(MagickSizeType) nexus_info->region.width*
nexus_info->region.height;
for (n=0; n < (ssize_t) number_pixels; n++)
{
double
mask_alpha;
register ssize_t
i;
if (p == (Quantum *) NULL)
break;
mask_alpha=QuantumScale*GetPixelWriteMask(image,p);
if (fabs(mask_alpha) >= MagickEpsilon)
{
for (i=0; i < (ssize_t) image->number_channels; i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampToQuantum(MagickOver_((double) p[i],mask_alpha*
GetPixelAlpha(image,p),(double) q[i],(double)
GetPixelAlpha(image,q)));
}
SetPixelAlpha(image,GetPixelAlpha(image,p),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(image);
}
image_nexus=DestroyPixelCacheNexus(image_nexus,1);
if (n < (ssize_t) number_pixels)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o n e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClonePixelCache() clones a pixel cache.
%
% The format of the ClonePixelCache() method is:
%
% Cache ClonePixelCache(const Cache cache)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
*/
MagickPrivate Cache ClonePixelCache(const Cache cache)
{
CacheInfo
*magick_restrict clone_info;
const CacheInfo
*magick_restrict cache_info;
assert(cache != NULL);
cache_info=(const CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
clone_info=(CacheInfo *) AcquirePixelCache(cache_info->number_threads);
clone_info->virtual_pixel_method=cache_info->virtual_pixel_method;
return((Cache ) clone_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o n e P i x e l C a c h e M e t h o d s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClonePixelCacheMethods() clones the pixel cache methods from one cache to
% another.
%
% The format of the ClonePixelCacheMethods() method is:
%
% void ClonePixelCacheMethods(Cache clone,const Cache cache)
%
% A description of each parameter follows:
%
% o clone: Specifies a pointer to a Cache structure.
%
% o cache: the pixel cache.
%
*/
MagickPrivate void ClonePixelCacheMethods(Cache clone,const Cache cache)
{
CacheInfo
*magick_restrict cache_info,
*magick_restrict source_info;
assert(clone != (Cache) NULL);
source_info=(CacheInfo *) clone;
assert(source_info->signature == MagickCoreSignature);
if (source_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
source_info->filename);
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
source_info->methods=cache_info->methods;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o n e P i x e l C a c h e R e p o s i t o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClonePixelCacheRepository() clones the source pixel cache to the destination
% cache.
%
% The format of the ClonePixelCacheRepository() method is:
%
% MagickBooleanType ClonePixelCacheRepository(CacheInfo *cache_info,
% CacheInfo *source_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o source_info: the source pixel cache.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType ClonePixelCacheOnDisk(
CacheInfo *magick_restrict cache_info,CacheInfo *magick_restrict clone_info)
{
MagickSizeType
extent;
size_t
quantum;
ssize_t
count;
struct stat
file_stats;
unsigned char
*buffer;
/*
Clone pixel cache on disk with identical morphology.
*/
if ((OpenPixelCacheOnDisk(cache_info,ReadMode) == MagickFalse) ||
(OpenPixelCacheOnDisk(clone_info,IOMode) == MagickFalse))
return(MagickFalse);
if ((lseek(cache_info->file,0,SEEK_SET) < 0) ||
(lseek(clone_info->file,0,SEEK_SET) < 0))
return(MagickFalse);
quantum=(size_t) MagickMaxBufferExtent;
if ((fstat(cache_info->file,&file_stats) == 0) && (file_stats.st_size > 0))
quantum=(size_t) MagickMin(file_stats.st_size,MagickMaxBufferExtent);
buffer=(unsigned char *) AcquireQuantumMemory(quantum,sizeof(*buffer));
if (buffer == (unsigned char *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
extent=0;
while ((count=read(cache_info->file,buffer,quantum)) > 0)
{
ssize_t
number_bytes;
number_bytes=write(clone_info->file,buffer,(size_t) count);
if (number_bytes != count)
break;
extent+=number_bytes;
}
buffer=(unsigned char *) RelinquishMagickMemory(buffer);
if (extent != cache_info->length)
return(MagickFalse);
return(MagickTrue);
}
static MagickBooleanType ClonePixelCacheRepository(
CacheInfo *magick_restrict clone_info,CacheInfo *magick_restrict cache_info,
ExceptionInfo *exception)
{
#define MaxCacheThreads ((size_t) GetMagickResourceLimit(ThreadResource))
#define cache_number_threads(source,destination,chunk,multithreaded) \
num_threads((multithreaded) == 0 ? 1 : \
(((source)->type != MemoryCache) && ((source)->type != MapCache)) || \
(((destination)->type != MemoryCache) && ((destination)->type != MapCache)) ? \
MagickMax(MagickMin(GetMagickResourceLimit(ThreadResource),2),1) : \
MagickMax(MagickMin((ssize_t) GetMagickResourceLimit(ThreadResource),(ssize_t) (chunk)/256),1))
MagickBooleanType
optimize,
status;
NexusInfo
**magick_restrict cache_nexus,
**magick_restrict clone_nexus;
size_t
length;
ssize_t
y;
assert(cache_info != (CacheInfo *) NULL);
assert(clone_info != (CacheInfo *) NULL);
assert(exception != (ExceptionInfo *) NULL);
if (cache_info->type == PingCache)
return(MagickTrue);
length=cache_info->number_channels*sizeof(*cache_info->channel_map);
if ((cache_info->storage_class == clone_info->storage_class) &&
(cache_info->colorspace == clone_info->colorspace) &&
(cache_info->alpha_trait == clone_info->alpha_trait) &&
(cache_info->channels == clone_info->channels) &&
(cache_info->columns == clone_info->columns) &&
(cache_info->rows == clone_info->rows) &&
(cache_info->number_channels == clone_info->number_channels) &&
(memcmp(cache_info->channel_map,clone_info->channel_map,length) == 0) &&
(cache_info->metacontent_extent == clone_info->metacontent_extent))
{
/*
Identical pixel cache morphology.
*/
if (((cache_info->type == MemoryCache) ||
(cache_info->type == MapCache)) &&
((clone_info->type == MemoryCache) || (clone_info->type == MapCache)))
{
(void) memcpy(clone_info->pixels,cache_info->pixels,
cache_info->number_channels*cache_info->columns*cache_info->rows*
sizeof(*cache_info->pixels));
if ((cache_info->metacontent_extent != 0) &&
(clone_info->metacontent_extent != 0))
(void) memcpy(clone_info->metacontent,cache_info->metacontent,
cache_info->columns*cache_info->rows*
clone_info->metacontent_extent*sizeof(unsigned char));
return(MagickTrue);
}
if ((cache_info->type == DiskCache) && (clone_info->type == DiskCache))
return(ClonePixelCacheOnDisk(cache_info,clone_info));
}
/*
Mismatched pixel cache morphology.
*/
cache_nexus=AcquirePixelCacheNexus(MaxCacheThreads);
clone_nexus=AcquirePixelCacheNexus(MaxCacheThreads);
length=cache_info->number_channels*sizeof(*cache_info->channel_map);
optimize=(cache_info->number_channels == clone_info->number_channels) &&
(memcmp(cache_info->channel_map,clone_info->channel_map,length) == 0) ?
MagickTrue : MagickFalse;
length=(size_t) MagickMin(cache_info->number_channels*cache_info->columns,
clone_info->number_channels*clone_info->columns);
status=MagickTrue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
cache_number_threads(cache_info,clone_info,cache_info->rows,1)
#endif
for (y=0; y < (ssize_t) cache_info->rows; y++)
{
const int
id = GetOpenMPThreadId();
Quantum
*pixels;
RectangleInfo
region;
register ssize_t
x;
if (status == MagickFalse)
continue;
if (y >= (ssize_t) clone_info->rows)
continue;
region.width=cache_info->columns;
region.height=1;
region.x=0;
region.y=y;
pixels=SetPixelCacheNexusPixels(cache_info,ReadMode,®ion,MagickFalse,
cache_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
status=ReadPixelCachePixels(cache_info,cache_nexus[id],exception);
if (status == MagickFalse)
continue;
region.width=clone_info->columns;
pixels=SetPixelCacheNexusPixels(clone_info,WriteMode,®ion,MagickFalse,
clone_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
(void) memset(clone_nexus[id]->pixels,0,(size_t) clone_nexus[id]->length);
if (optimize != MagickFalse)
(void) memcpy(clone_nexus[id]->pixels,cache_nexus[id]->pixels,length*
sizeof(Quantum));
else
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
/*
Mismatched pixel channel map.
*/
p=cache_nexus[id]->pixels;
q=clone_nexus[id]->pixels;
for (x=0; x < (ssize_t) cache_info->columns; x++)
{
register ssize_t
i;
if (x == (ssize_t) clone_info->columns)
break;
for (i=0; i < (ssize_t) clone_info->number_channels; i++)
{
PixelChannel
channel;
PixelTrait
traits;
channel=clone_info->channel_map[i].channel;
traits=cache_info->channel_map[channel].traits;
if (traits != UndefinedPixelTrait)
*q=*(p+cache_info->channel_map[channel].offset);
q++;
}
p+=cache_info->number_channels;
}
}
status=WritePixelCachePixels(clone_info,clone_nexus[id],exception);
}
if ((cache_info->metacontent_extent != 0) &&
(clone_info->metacontent_extent != 0))
{
/*
Clone metacontent.
*/
length=(size_t) MagickMin(cache_info->metacontent_extent,
clone_info->metacontent_extent);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
cache_number_threads(cache_info,clone_info,cache_info->rows,1)
#endif
for (y=0; y < (ssize_t) cache_info->rows; y++)
{
const int
id = GetOpenMPThreadId();
Quantum
*pixels;
RectangleInfo
region;
if (status == MagickFalse)
continue;
if (y >= (ssize_t) clone_info->rows)
continue;
region.width=cache_info->columns;
region.height=1;
region.x=0;
region.y=y;
pixels=SetPixelCacheNexusPixels(cache_info,ReadMode,®ion,MagickFalse,
cache_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
status=ReadPixelCacheMetacontent(cache_info,cache_nexus[id],exception);
if (status == MagickFalse)
continue;
region.width=clone_info->columns;
pixels=SetPixelCacheNexusPixels(clone_info,WriteMode,®ion,
MagickFalse,clone_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
if ((clone_nexus[id]->metacontent != (void *) NULL) &&
(cache_nexus[id]->metacontent != (void *) NULL))
(void) memcpy(clone_nexus[id]->metacontent,
cache_nexus[id]->metacontent,length*sizeof(unsigned char));
status=WritePixelCacheMetacontent(clone_info,clone_nexus[id],exception);
}
}
cache_nexus=DestroyPixelCacheNexus(cache_nexus,MaxCacheThreads);
clone_nexus=DestroyPixelCacheNexus(clone_nexus,MaxCacheThreads);
if (cache_info->debug != MagickFalse)
{
char
message[MagickPathExtent];
(void) FormatLocaleString(message,MagickPathExtent,"%s => %s",
CommandOptionToMnemonic(MagickCacheOptions,(ssize_t) cache_info->type),
CommandOptionToMnemonic(MagickCacheOptions,(ssize_t) clone_info->type));
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y I m a g e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImagePixelCache() deallocates memory associated with the pixel cache.
%
% The format of the DestroyImagePixelCache() method is:
%
% void DestroyImagePixelCache(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static void DestroyImagePixelCache(Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->cache != (void *) NULL)
image->cache=DestroyPixelCache(image->cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImagePixels() deallocates memory associated with the pixel cache.
%
% The format of the DestroyImagePixels() method is:
%
% void DestroyImagePixels(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void DestroyImagePixels(Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.destroy_pixel_handler != (DestroyPixelHandler) NULL)
{
cache_info->methods.destroy_pixel_handler(image);
return;
}
image->cache=DestroyPixelCache(image->cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyPixelCache() deallocates memory associated with the pixel cache.
%
% The format of the DestroyPixelCache() method is:
%
% Cache DestroyPixelCache(Cache cache)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
*/
static MagickBooleanType ClosePixelCacheOnDisk(CacheInfo *cache_info)
{
int
status;
status=(-1);
if (cache_info->file != -1)
{
status=close(cache_info->file);
cache_info->file=(-1);
RelinquishMagickResource(FileResource,1);
}
return(status == -1 ? MagickFalse : MagickTrue);
}
static inline void RelinquishPixelCachePixels(CacheInfo *cache_info)
{
switch (cache_info->type)
{
case MemoryCache:
{
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (cache_info->opencl != (MagickCLCacheInfo) NULL)
{
cache_info->opencl=RelinquishMagickCLCacheInfo(cache_info->opencl,
MagickTrue);
cache_info->pixels=(Quantum *) NULL;
break;
}
#endif
if (cache_info->mapped == MagickFalse)
cache_info->pixels=(Quantum *) RelinquishAlignedMemory(
cache_info->pixels);
else
(void) UnmapBlob(cache_info->pixels,(size_t) cache_info->length);
RelinquishMagickResource(MemoryResource,cache_info->length);
break;
}
case MapCache:
{
(void) UnmapBlob(cache_info->pixels,(size_t) cache_info->length);
cache_info->pixels=(Quantum *) NULL;
if ((cache_info->mode != ReadMode) && (cache_info->mode != PersistMode))
(void) RelinquishUniqueFileResource(cache_info->cache_filename);
*cache_info->cache_filename='\0';
RelinquishMagickResource(MapResource,cache_info->length);
}
case DiskCache:
{
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
if ((cache_info->mode != ReadMode) && (cache_info->mode != PersistMode))
(void) RelinquishUniqueFileResource(cache_info->cache_filename);
*cache_info->cache_filename='\0';
RelinquishMagickResource(DiskResource,cache_info->length);
break;
}
case DistributedCache:
{
*cache_info->cache_filename='\0';
(void) RelinquishDistributePixelCache((DistributeCacheInfo *)
cache_info->server_info);
break;
}
default:
break;
}
cache_info->type=UndefinedCache;
cache_info->mapped=MagickFalse;
cache_info->metacontent=(void *) NULL;
}
MagickPrivate Cache DestroyPixelCache(Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
LockSemaphoreInfo(cache_info->semaphore);
cache_info->reference_count--;
if (cache_info->reference_count != 0)
{
UnlockSemaphoreInfo(cache_info->semaphore);
return((Cache) NULL);
}
UnlockSemaphoreInfo(cache_info->semaphore);
if (cache_info->debug != MagickFalse)
{
char
message[MagickPathExtent];
(void) FormatLocaleString(message,MagickPathExtent,"destroy %s",
cache_info->filename);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
RelinquishPixelCachePixels(cache_info);
if (cache_info->server_info != (DistributeCacheInfo *) NULL)
cache_info->server_info=DestroyDistributeCacheInfo((DistributeCacheInfo *)
cache_info->server_info);
if (cache_info->nexus_info != (NexusInfo **) NULL)
cache_info->nexus_info=DestroyPixelCacheNexus(cache_info->nexus_info,
cache_info->number_threads);
if (cache_info->random_info != (RandomInfo *) NULL)
cache_info->random_info=DestroyRandomInfo(cache_info->random_info);
if (cache_info->file_semaphore != (SemaphoreInfo *) NULL)
RelinquishSemaphoreInfo(&cache_info->file_semaphore);
if (cache_info->semaphore != (SemaphoreInfo *) NULL)
RelinquishSemaphoreInfo(&cache_info->semaphore);
cache_info->signature=(~MagickCoreSignature);
cache_info=(CacheInfo *) RelinquishAlignedMemory(cache_info);
cache=(Cache) NULL;
return(cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyPixelCacheNexus() destroys a pixel cache nexus.
%
% The format of the DestroyPixelCacheNexus() method is:
%
% NexusInfo **DestroyPixelCacheNexus(NexusInfo *nexus_info,
% const size_t number_threads)
%
% A description of each parameter follows:
%
% o nexus_info: the nexus to destroy.
%
% o number_threads: the number of nexus threads.
%
*/
static inline void RelinquishCacheNexusPixels(NexusInfo *nexus_info)
{
if (nexus_info->mapped == MagickFalse)
(void) RelinquishAlignedMemory(nexus_info->cache);
else
(void) UnmapBlob(nexus_info->cache,(size_t) nexus_info->length);
nexus_info->cache=(Quantum *) NULL;
nexus_info->pixels=(Quantum *) NULL;
nexus_info->metacontent=(void *) NULL;
nexus_info->length=0;
nexus_info->mapped=MagickFalse;
}
MagickPrivate NexusInfo **DestroyPixelCacheNexus(NexusInfo **nexus_info,
const size_t number_threads)
{
register ssize_t
i;
assert(nexus_info != (NexusInfo **) NULL);
for (i=0; i < (ssize_t) number_threads; i++)
{
if (nexus_info[i]->cache != (Quantum *) NULL)
RelinquishCacheNexusPixels(nexus_info[i]);
nexus_info[i]->signature=(~MagickCoreSignature);
}
nexus_info[0]=(NexusInfo *) RelinquishMagickMemory(nexus_info[0]);
nexus_info=(NexusInfo **) RelinquishAlignedMemory(nexus_info);
return(nexus_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t A u t h e n t i c M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticMetacontent() returns the authentic metacontent corresponding
% with the last call to QueueAuthenticPixels() or GetVirtualPixels(). NULL is
% returned if the associated pixels are not available.
%
% The format of the GetAuthenticMetacontent() method is:
%
% void *GetAuthenticMetacontent(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void *GetAuthenticMetacontent(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_authentic_metacontent_from_handler !=
(GetAuthenticMetacontentFromHandler) NULL)
{
void
*metacontent;
metacontent=cache_info->methods.
get_authentic_metacontent_from_handler(image);
return(metacontent);
}
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c M e t a c o n t e n t F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticMetacontentFromCache() returns the meta-content corresponding
% with the last call to QueueAuthenticPixelsCache() or
% GetAuthenticPixelsCache().
%
% The format of the GetAuthenticMetacontentFromCache() method is:
%
% void *GetAuthenticMetacontentFromCache(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static void *GetAuthenticMetacontentFromCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->metacontent);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c O p e n C L B u f f e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticOpenCLBuffer() returns an OpenCL buffer used to execute OpenCL
% operations.
%
% The format of the GetAuthenticOpenCLBuffer() method is:
%
% cl_mem GetAuthenticOpenCLBuffer(const Image *image,
% MagickCLDevice device,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o device: the device to use.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate cl_mem GetAuthenticOpenCLBuffer(const Image *image,
MagickCLDevice device,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(device != (const MagickCLDevice) NULL);
cache_info=(CacheInfo *) image->cache;
if ((cache_info->type == UndefinedCache) || (cache_info->reference_count > 1))
{
SyncImagePixelCache((Image *) image,exception);
cache_info=(CacheInfo *) image->cache;
}
if ((cache_info->type != MemoryCache) || (cache_info->mapped != MagickFalse))
return((cl_mem) NULL);
LockSemaphoreInfo(cache_info->semaphore);
if ((cache_info->opencl != (MagickCLCacheInfo) NULL) &&
(cache_info->opencl->device->context != device->context))
cache_info->opencl=CopyMagickCLCacheInfo(cache_info->opencl);
if (cache_info->opencl == (MagickCLCacheInfo) NULL)
{
assert(cache_info->pixels != (Quantum *) NULL);
cache_info->opencl=AcquireMagickCLCacheInfo(device,cache_info->pixels,
cache_info->length);
}
if (cache_info->opencl != (MagickCLCacheInfo) NULL)
RetainOpenCLMemObject(cache_info->opencl->buffer);
UnlockSemaphoreInfo(cache_info->semaphore);
if (cache_info->opencl == (MagickCLCacheInfo) NULL)
return((cl_mem) NULL);
assert(cache_info->opencl->pixels == cache_info->pixels);
return(cache_info->opencl->buffer);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelCacheNexus() gets authentic pixels from the in-memory or
% disk pixel cache as defined by the geometry parameters. A pointer to the
% pixels is returned if the pixels are transferred, otherwise a NULL is
% returned.
%
% The format of the GetAuthenticPixelCacheNexus() method is:
%
% Quantum *GetAuthenticPixelCacheNexus(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o nexus_info: the cache nexus to return.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate Quantum *GetAuthenticPixelCacheNexus(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,NexusInfo *nexus_info,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
Quantum
*magick_restrict pixels;
/*
Transfer pixels from the cache.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
pixels=QueueAuthenticPixelCacheNexus(image,x,y,columns,rows,MagickTrue,
nexus_info,exception);
if (pixels == (Quantum *) NULL)
return((Quantum *) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(pixels);
if (ReadPixelCachePixels(cache_info,nexus_info,exception) == MagickFalse)
return((Quantum *) NULL);
if (cache_info->metacontent_extent != 0)
if (ReadPixelCacheMetacontent(cache_info,nexus_info,exception) == MagickFalse)
return((Quantum *) NULL);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c P i x e l s F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelsFromCache() returns the pixels associated with the last
% call to the QueueAuthenticPixelsCache() or GetAuthenticPixelsCache() methods.
%
% The format of the GetAuthenticPixelsFromCache() method is:
%
% Quantum *GetAuthenticPixelsFromCache(const Image image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static Quantum *GetAuthenticPixelsFromCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t A u t h e n t i c P i x e l Q u e u e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelQueue() returns the authentic pixels associated
% corresponding with the last call to QueueAuthenticPixels() or
% GetAuthenticPixels().
%
% The format of the GetAuthenticPixelQueue() method is:
%
% Quantum *GetAuthenticPixelQueue(const Image image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Quantum *GetAuthenticPixelQueue(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_authentic_pixels_from_handler !=
(GetAuthenticPixelsFromHandler) NULL)
return(cache_info->methods.get_authentic_pixels_from_handler(image));
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixels() obtains a pixel region for read/write access. If the
% region is successfully accessed, a pointer to a Quantum array
% representing the region is returned, otherwise NULL is returned.
%
% The returned pointer may point to a temporary working copy of the pixels
% or it may point to the original pixels in memory. Performance is maximized
% if the selected region is part of one row, or one or more full rows, since
% then there is opportunity to access the pixels in-place (without a copy)
% if the image is in memory, or in a memory-mapped file. The returned pointer
% must *never* be deallocated by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% Quantum. If the image has corresponding metacontent,call
% GetAuthenticMetacontent() after invoking GetAuthenticPixels() to obtain the
% meta-content corresponding to the region. Once the Quantum array has
% been updated, the changes must be saved back to the underlying image using
% SyncAuthenticPixels() or they may be lost.
%
% The format of the GetAuthenticPixels() method is:
%
% Quantum *GetAuthenticPixels(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Quantum *GetAuthenticPixels(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*pixels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_authentic_pixels_handler !=
(GetAuthenticPixelsHandler) NULL)
{
pixels=cache_info->methods.get_authentic_pixels_handler(image,x,y,columns,
rows,exception);
return(pixels);
}
assert(id < (int) cache_info->number_threads);
pixels=GetAuthenticPixelCacheNexus(image,x,y,columns,rows,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c P i x e l s C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelsCache() gets pixels from the in-memory or disk pixel cache
% as defined by the geometry parameters. A pointer to the pixels is returned
% if the pixels are transferred, otherwise a NULL is returned.
%
% The format of the GetAuthenticPixelsCache() method is:
%
% Quantum *GetAuthenticPixelsCache(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Quantum *GetAuthenticPixelsCache(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*magick_restrict pixels;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
if (cache_info == (Cache) NULL)
return((Quantum *) NULL);
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
pixels=GetAuthenticPixelCacheNexus(image,x,y,columns,rows,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageExtent() returns the extent of the pixels associated corresponding
% with the last call to QueueAuthenticPixels() or GetAuthenticPixels().
%
% The format of the GetImageExtent() method is:
%
% MagickSizeType GetImageExtent(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickSizeType GetImageExtent(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(GetPixelCacheNexusExtent(cache_info,cache_info->nexus_info[id]));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImagePixelCache() ensures that there is only a single reference to the
% pixel cache to be modified, updating the provided cache pointer to point to
% a clone of the original pixel cache if necessary.
%
% The format of the GetImagePixelCache method is:
%
% Cache GetImagePixelCache(Image *image,const MagickBooleanType clone,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o clone: any value other than MagickFalse clones the cache pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickBooleanType ValidatePixelCacheMorphology(
const Image *magick_restrict image)
{
const CacheInfo
*magick_restrict cache_info;
const PixelChannelMap
*magick_restrict p,
*magick_restrict q;
/*
Does the image match the pixel cache morphology?
*/
cache_info=(CacheInfo *) image->cache;
p=image->channel_map;
q=cache_info->channel_map;
if ((image->storage_class != cache_info->storage_class) ||
(image->colorspace != cache_info->colorspace) ||
(image->alpha_trait != cache_info->alpha_trait) ||
(image->channels != cache_info->channels) ||
(image->columns != cache_info->columns) ||
(image->rows != cache_info->rows) ||
(image->number_channels != cache_info->number_channels) ||
(memcmp(p,q,image->number_channels*sizeof(*p)) != 0) ||
(image->metacontent_extent != cache_info->metacontent_extent) ||
(cache_info->nexus_info == (NexusInfo **) NULL))
return(MagickFalse);
return(MagickTrue);
}
static Cache GetImagePixelCache(Image *image,const MagickBooleanType clone,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickBooleanType
destroy,
status;
static MagickSizeType
cache_timelimit = MagickResourceInfinity,
cpu_throttle = MagickResourceInfinity,
cycles = 0;
status=MagickTrue;
if (cpu_throttle == MagickResourceInfinity)
cpu_throttle=GetMagickResourceLimit(ThrottleResource);
if ((cpu_throttle != 0) && ((cycles++ % 32) == 0))
MagickDelay(cpu_throttle);
if (cache_epoch == 0)
{
/*
Set the expire time in seconds.
*/
cache_timelimit=GetMagickResourceLimit(TimeResource);
cache_epoch=time((time_t *) NULL);
}
if ((cache_timelimit != MagickResourceInfinity) &&
((MagickSizeType) (time((time_t *) NULL)-cache_epoch) >= cache_timelimit))
{
#if defined(ECANCELED)
errno=ECANCELED;
#endif
cache_info=(CacheInfo *) image->cache;
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
ThrowFatalException(ResourceLimitFatalError,"TimeLimitExceeded");
}
LockSemaphoreInfo(image->semaphore);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
#if defined(MAGICKCORE_OPENCL_SUPPORT)
CopyOpenCLBuffer(cache_info);
#endif
destroy=MagickFalse;
if ((cache_info->reference_count > 1) || (cache_info->mode == ReadMode))
{
LockSemaphoreInfo(cache_info->semaphore);
if ((cache_info->reference_count > 1) || (cache_info->mode == ReadMode))
{
CacheInfo
*clone_info;
Image
clone_image;
/*
Clone pixel cache.
*/
clone_image=(*image);
clone_image.semaphore=AcquireSemaphoreInfo();
clone_image.reference_count=1;
clone_image.cache=ClonePixelCache(cache_info);
clone_info=(CacheInfo *) clone_image.cache;
status=OpenPixelCache(&clone_image,IOMode,exception);
if (status == MagickFalse)
clone_info=(CacheInfo *) DestroyPixelCache(clone_info);
else
{
if (clone != MagickFalse)
status=ClonePixelCacheRepository(clone_info,cache_info,
exception);
if (status == MagickFalse)
clone_info=(CacheInfo *) DestroyPixelCache(clone_info);
else
{
destroy=MagickTrue;
image->cache=clone_info;
}
}
RelinquishSemaphoreInfo(&clone_image.semaphore);
}
UnlockSemaphoreInfo(cache_info->semaphore);
}
if (destroy != MagickFalse)
cache_info=(CacheInfo *) DestroyPixelCache(cache_info);
if (status != MagickFalse)
{
/*
Ensure the image matches the pixel cache morphology.
*/
image->type=UndefinedType;
if (ValidatePixelCacheMorphology(image) == MagickFalse)
{
status=OpenPixelCache(image,IOMode,exception);
cache_info=(CacheInfo *) image->cache;
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
}
}
UnlockSemaphoreInfo(image->semaphore);
if (status == MagickFalse)
return((Cache) NULL);
return(image->cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e P i x e l C a c h e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImagePixelCacheType() returns the pixel cache type: UndefinedCache,
% DiskCache, MemoryCache, MapCache, or PingCache.
%
% The format of the GetImagePixelCacheType() method is:
%
% CacheType GetImagePixelCacheType(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport CacheType GetImagePixelCacheType(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
return(cache_info->type);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t O n e A u t h e n t i c P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneAuthenticPixel() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs.
%
% The format of the GetOneAuthenticPixel() method is:
%
% MagickBooleanType GetOneAuthenticPixel(const Image image,const ssize_t x,
% const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickBooleanType CopyPixel(const Image *image,
const Quantum *source,Quantum *destination)
{
register ssize_t
i;
if (source == (const Quantum *) NULL)
{
destination[RedPixelChannel]=ClampToQuantum(image->background_color.red);
destination[GreenPixelChannel]=ClampToQuantum(
image->background_color.green);
destination[BluePixelChannel]=ClampToQuantum(
image->background_color.blue);
destination[BlackPixelChannel]=ClampToQuantum(
image->background_color.black);
destination[AlphaPixelChannel]=ClampToQuantum(
image->background_color.alpha);
return(MagickFalse);
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
destination[channel]=source[i];
}
return(MagickTrue);
}
MagickExport MagickBooleanType GetOneAuthenticPixel(Image *image,
const ssize_t x,const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
register Quantum
*magick_restrict q;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
if (cache_info->methods.get_one_authentic_pixel_from_handler != (GetOneAuthenticPixelFromHandler) NULL)
return(cache_info->methods.get_one_authentic_pixel_from_handler(image,x,y,pixel,exception));
q=GetAuthenticPixelsCache(image,x,y,1UL,1UL,exception);
return(CopyPixel(image,q,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t O n e A u t h e n t i c P i x e l F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneAuthenticPixelFromCache() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs.
%
% The format of the GetOneAuthenticPixelFromCache() method is:
%
% MagickBooleanType GetOneAuthenticPixelFromCache(const Image image,
% const ssize_t x,const ssize_t y,Quantum *pixel,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType GetOneAuthenticPixelFromCache(Image *image,
const ssize_t x,const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
register Quantum
*magick_restrict q;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
q=GetAuthenticPixelCacheNexus(image,x,y,1UL,1UL,cache_info->nexus_info[id],
exception);
return(CopyPixel(image,q,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t O n e V i r t u a l P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneVirtualPixel() returns a single virtual pixel at the specified
% (x,y) location. The image background color is returned if an error occurs.
% If you plan to modify the pixel, use GetOneAuthenticPixel() instead.
%
% The format of the GetOneVirtualPixel() method is:
%
% MagickBooleanType GetOneVirtualPixel(const Image image,const ssize_t x,
% const ssize_t y,Quantum *pixel,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetOneVirtualPixel(const Image *image,
const ssize_t x,const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
if (cache_info->methods.get_one_virtual_pixel_from_handler !=
(GetOneVirtualPixelFromHandler) NULL)
return(cache_info->methods.get_one_virtual_pixel_from_handler(image,
GetPixelCacheVirtualMethod(image),x,y,pixel,exception));
assert(id < (int) cache_info->number_threads);
p=GetVirtualPixelCacheNexus(image,GetPixelCacheVirtualMethod(image),x,y,
1UL,1UL,cache_info->nexus_info[id],exception);
return(CopyPixel(image,p,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t O n e V i r t u a l P i x e l F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneVirtualPixelFromCache() returns a single virtual pixel at the
% specified (x,y) location. The image background color is returned if an
% error occurs.
%
% The format of the GetOneVirtualPixelFromCache() method is:
%
% MagickBooleanType GetOneVirtualPixelFromCache(const Image image,
% const VirtualPixelMethod method,const ssize_t x,const ssize_t y,
% Quantum *pixel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType GetOneVirtualPixelFromCache(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x,y,1UL,1UL,
cache_info->nexus_info[id],exception);
return(CopyPixel(image,p,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t O n e V i r t u a l P i x e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneVirtualPixelInfo() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs. If
% you plan to modify the pixel, use GetOneAuthenticPixel() instead.
%
% The format of the GetOneVirtualPixelInfo() method is:
%
% MagickBooleanType GetOneVirtualPixelInfo(const Image image,
% const VirtualPixelMethod virtual_pixel_method,const ssize_t x,
% const ssize_t y,PixelInfo *pixel,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y: these values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetOneVirtualPixelInfo(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
PixelInfo *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
register const Quantum
*magick_restrict p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
GetPixelInfo(image,pixel);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x,y,1UL,1UL,
cache_info->nexus_info[id],exception);
if (p == (const Quantum *) NULL)
return(MagickFalse);
GetPixelInfoPixel(image,p,pixel);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e C o l o r s p a c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheColorspace() returns the class type of the pixel cache.
%
% The format of the GetPixelCacheColorspace() method is:
%
% Colorspace GetPixelCacheColorspace(Cache cache)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
*/
MagickPrivate ColorspaceType GetPixelCacheColorspace(const Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
return(cache_info->colorspace);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e F i l e n a m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheFilename() returns the filename associated with the pixel
% cache.
%
% The format of the GetPixelCacheFilename() method is:
%
% const char *GetPixelCacheFilename(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const char *GetPixelCacheFilename(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
return(cache_info->cache_filename);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e M e t h o d s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheMethods() initializes the CacheMethods structure.
%
% The format of the GetPixelCacheMethods() method is:
%
% void GetPixelCacheMethods(CacheMethods *cache_methods)
%
% A description of each parameter follows:
%
% o cache_methods: Specifies a pointer to a CacheMethods structure.
%
*/
MagickPrivate void GetPixelCacheMethods(CacheMethods *cache_methods)
{
assert(cache_methods != (CacheMethods *) NULL);
(void) memset(cache_methods,0,sizeof(*cache_methods));
cache_methods->get_virtual_pixel_handler=GetVirtualPixelCache;
cache_methods->get_virtual_pixels_handler=GetVirtualPixelsCache;
cache_methods->get_virtual_metacontent_from_handler=
GetVirtualMetacontentFromCache;
cache_methods->get_one_virtual_pixel_from_handler=GetOneVirtualPixelFromCache;
cache_methods->get_authentic_pixels_handler=GetAuthenticPixelsCache;
cache_methods->get_authentic_metacontent_from_handler=
GetAuthenticMetacontentFromCache;
cache_methods->get_authentic_pixels_from_handler=GetAuthenticPixelsFromCache;
cache_methods->get_one_authentic_pixel_from_handler=
GetOneAuthenticPixelFromCache;
cache_methods->queue_authentic_pixels_handler=QueueAuthenticPixelsCache;
cache_methods->sync_authentic_pixels_handler=SyncAuthenticPixelsCache;
cache_methods->destroy_pixel_handler=DestroyImagePixelCache;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e N e x u s E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheNexusExtent() returns the extent of the pixels associated
% corresponding with the last call to SetPixelCacheNexusPixels() or
% GetPixelCacheNexusPixels().
%
% The format of the GetPixelCacheNexusExtent() method is:
%
% MagickSizeType GetPixelCacheNexusExtent(const Cache cache,
% NexusInfo *nexus_info)
%
% A description of each parameter follows:
%
% o nexus_info: the nexus info.
%
*/
MagickPrivate MagickSizeType GetPixelCacheNexusExtent(const Cache cache,
NexusInfo *magick_restrict nexus_info)
{
CacheInfo
*magick_restrict cache_info;
MagickSizeType
extent;
assert(cache != NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
extent=(MagickSizeType) nexus_info->region.width*nexus_info->region.height;
if (extent == 0)
return((MagickSizeType) cache_info->columns*cache_info->rows);
return(extent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCachePixels() returns the pixels associated with the specified image.
%
% The format of the GetPixelCachePixels() method is:
%
% void *GetPixelCachePixels(Image *image,MagickSizeType *length,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o length: the pixel cache length.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void *GetPixelCachePixels(Image *image,MagickSizeType *length,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
assert(length != (MagickSizeType *) NULL);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
*length=cache_info->length;
if ((cache_info->type != MemoryCache) && (cache_info->type != MapCache))
return((void *) NULL);
return((void *) cache_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e S t o r a g e C l a s s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheStorageClass() returns the class type of the pixel cache.
%
% The format of the GetPixelCacheStorageClass() method is:
%
% ClassType GetPixelCacheStorageClass(Cache cache)
%
% A description of each parameter follows:
%
% o type: GetPixelCacheStorageClass returns DirectClass or PseudoClass.
%
% o cache: the pixel cache.
%
*/
MagickPrivate ClassType GetPixelCacheStorageClass(const Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
return(cache_info->storage_class);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e T i l e S i z e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheTileSize() returns the pixel cache tile size.
%
% The format of the GetPixelCacheTileSize() method is:
%
% void GetPixelCacheTileSize(const Image *image,size_t *width,
% size_t *height)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o width: the optimized cache tile width in pixels.
%
% o height: the optimized cache tile height in pixels.
%
*/
MagickPrivate void GetPixelCacheTileSize(const Image *image,size_t *width,
size_t *height)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
*width=2048UL/(cache_info->number_channels*sizeof(Quantum));
if (GetImagePixelCacheType(image) == DiskCache)
*width=8192UL/(cache_info->number_channels*sizeof(Quantum));
*height=(*width);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e V i r t u a l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheVirtualMethod() gets the "virtual pixels" method for the
% pixel cache. A virtual pixel is any pixel access that is outside the
% boundaries of the image cache.
%
% The format of the GetPixelCacheVirtualMethod() method is:
%
% VirtualPixelMethod GetPixelCacheVirtualMethod(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickPrivate VirtualPixelMethod GetPixelCacheVirtualMethod(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
return(cache_info->virtual_pixel_method);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l M e t a c o n t e n t F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualMetacontentFromCache() returns the meta-content corresponding with
% the last call to QueueAuthenticPixelsCache() or GetVirtualPixelCache().
%
% The format of the GetVirtualMetacontentFromCache() method is:
%
% void *GetVirtualMetacontentFromCache(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static const void *GetVirtualMetacontentFromCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const void
*magick_restrict metacontent;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
metacontent=GetVirtualMetacontentFromNexus(cache_info,
cache_info->nexus_info[id]);
return(metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l M e t a c o n t e n t F r o m N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualMetacontentFromNexus() returns the meta-content for the specified
% cache nexus.
%
% The format of the GetVirtualMetacontentFromNexus() method is:
%
% const void *GetVirtualMetacontentFromNexus(const Cache cache,
% NexusInfo *nexus_info)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
% o nexus_info: the cache nexus to return the meta-content.
%
*/
MagickPrivate const void *GetVirtualMetacontentFromNexus(const Cache cache,
NexusInfo *magick_restrict nexus_info)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->storage_class == UndefinedClass)
return((void *) NULL);
return(nexus_info->metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t V i r t u a l M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualMetacontent() returns the virtual metacontent corresponding with
% the last call to QueueAuthenticPixels() or GetVirtualPixels(). NULL is
% returned if the meta-content are not available.
%
% The format of the GetVirtualMetacontent() method is:
%
% const void *GetVirtualMetacontent(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const void *GetVirtualMetacontent(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const void
*magick_restrict metacontent;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
metacontent=cache_info->methods.get_virtual_metacontent_from_handler(image);
if (metacontent != (void *) NULL)
return(metacontent);
assert(id < (int) cache_info->number_threads);
metacontent=GetVirtualMetacontentFromNexus(cache_info,
cache_info->nexus_info[id]);
return(metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelCacheNexus() gets virtual pixels from the in-memory or disk
% pixel cache as defined by the geometry parameters. A pointer to the pixels
% is returned if the pixels are transferred, otherwise a NULL is returned.
%
% The format of the GetVirtualPixelCacheNexus() method is:
%
% Quantum *GetVirtualPixelCacheNexus(const Image *image,
% const VirtualPixelMethod method,const ssize_t x,const ssize_t y,
% const size_t columns,const size_t rows,NexusInfo *nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o nexus_info: the cache nexus to acquire.
%
% o exception: return any errors or warnings in this structure.
%
*/
static ssize_t
DitherMatrix[64] =
{
0, 48, 12, 60, 3, 51, 15, 63,
32, 16, 44, 28, 35, 19, 47, 31,
8, 56, 4, 52, 11, 59, 7, 55,
40, 24, 36, 20, 43, 27, 39, 23,
2, 50, 14, 62, 1, 49, 13, 61,
34, 18, 46, 30, 33, 17, 45, 29,
10, 58, 6, 54, 9, 57, 5, 53,
42, 26, 38, 22, 41, 25, 37, 21
};
static inline ssize_t DitherX(const ssize_t x,const size_t columns)
{
ssize_t
index;
index=x+DitherMatrix[x & 0x07]-32L;
if (index < 0L)
return(0L);
if (index >= (ssize_t) columns)
return((ssize_t) columns-1L);
return(index);
}
static inline ssize_t DitherY(const ssize_t y,const size_t rows)
{
ssize_t
index;
index=y+DitherMatrix[y & 0x07]-32L;
if (index < 0L)
return(0L);
if (index >= (ssize_t) rows)
return((ssize_t) rows-1L);
return(index);
}
static inline ssize_t EdgeX(const ssize_t x,const size_t columns)
{
if (x < 0L)
return(0L);
if (x >= (ssize_t) columns)
return((ssize_t) (columns-1));
return(x);
}
static inline ssize_t EdgeY(const ssize_t y,const size_t rows)
{
if (y < 0L)
return(0L);
if (y >= (ssize_t) rows)
return((ssize_t) (rows-1));
return(y);
}
static inline ssize_t RandomX(RandomInfo *random_info,const size_t columns)
{
return((ssize_t) (columns*GetPseudoRandomValue(random_info)));
}
static inline ssize_t RandomY(RandomInfo *random_info,const size_t rows)
{
return((ssize_t) (rows*GetPseudoRandomValue(random_info)));
}
static inline MagickModulo VirtualPixelModulo(const ssize_t offset,
const size_t extent)
{
MagickModulo
modulo;
/*
Compute the remainder of dividing offset by extent. It returns not only
the quotient (tile the offset falls in) but also the positive remainer
within that tile such that 0 <= remainder < extent. This method is
essentially a ldiv() using a floored modulo division rather than the
normal default truncated modulo division.
*/
modulo.quotient=offset/(ssize_t) extent;
if ((offset < 0L) && (modulo.quotient > (ssize_t) (-SSIZE_MAX)))
modulo.quotient--;
modulo.remainder=(ssize_t) (offset-(double) modulo.quotient*extent);
return(modulo);
}
MagickPrivate const Quantum *GetVirtualPixelCacheNexus(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
const size_t columns,const size_t rows,NexusInfo *nexus_info,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickOffsetType
offset;
MagickSizeType
length,
number_pixels;
NexusInfo
**magick_restrict virtual_nexus;
Quantum
*magick_restrict pixels,
virtual_pixel[MaxPixelChannels];
RectangleInfo
region;
register const Quantum
*magick_restrict p;
register const void
*magick_restrict r;
register Quantum
*magick_restrict q;
register ssize_t
i,
u;
register unsigned char
*magick_restrict s;
ssize_t
v;
void
*magick_restrict virtual_metacontent;
/*
Acquire pixels.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->type == UndefinedCache)
return((const Quantum *) NULL);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
CopyOpenCLBuffer(cache_info);
#endif
region.x=x;
region.y=y;
region.width=columns;
region.height=rows;
pixels=SetPixelCacheNexusPixels(cache_info,ReadMode,®ion,
((image->channels & WriteMaskChannel) != 0) ||
((image->channels & CompositeMaskChannel) != 0) ? MagickTrue : MagickFalse,
nexus_info,exception);
if (pixels == (Quantum *) NULL)
return((const Quantum *) NULL);
q=pixels;
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) (nexus_info->region.height-1L)*cache_info->columns+
nexus_info->region.width-1L;
number_pixels=(MagickSizeType) cache_info->columns*cache_info->rows;
if ((offset >= 0) && (((MagickSizeType) offset+length) < number_pixels))
if ((x >= 0) && ((ssize_t) (x+columns) <= (ssize_t) cache_info->columns) &&
(y >= 0) && ((ssize_t) (y+rows) <= (ssize_t) cache_info->rows))
{
MagickBooleanType
status;
/*
Pixel request is inside cache extents.
*/
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(q);
status=ReadPixelCachePixels(cache_info,nexus_info,exception);
if (status == MagickFalse)
return((const Quantum *) NULL);
if (cache_info->metacontent_extent != 0)
{
status=ReadPixelCacheMetacontent(cache_info,nexus_info,exception);
if (status == MagickFalse)
return((const Quantum *) NULL);
}
return(q);
}
/*
Pixel request is outside cache extents.
*/
s=(unsigned char *) nexus_info->metacontent;
virtual_nexus=AcquirePixelCacheNexus(1);
(void) memset(virtual_pixel,0,cache_info->number_channels*
sizeof(*virtual_pixel));
virtual_metacontent=(void *) NULL;
switch (virtual_pixel_method)
{
case BackgroundVirtualPixelMethod:
case BlackVirtualPixelMethod:
case GrayVirtualPixelMethod:
case TransparentVirtualPixelMethod:
case MaskVirtualPixelMethod:
case WhiteVirtualPixelMethod:
case EdgeVirtualPixelMethod:
case CheckerTileVirtualPixelMethod:
case HorizontalTileVirtualPixelMethod:
case VerticalTileVirtualPixelMethod:
{
if (cache_info->metacontent_extent != 0)
{
/*
Acquire a metacontent buffer.
*/
virtual_metacontent=(void *) AcquireQuantumMemory(1,
cache_info->metacontent_extent);
if (virtual_metacontent == (void *) NULL)
{
virtual_nexus=DestroyPixelCacheNexus(virtual_nexus,1);
(void) ThrowMagickException(exception,GetMagickModule(),
CacheError,"UnableToGetCacheNexus","`%s'",image->filename);
return((const Quantum *) NULL);
}
(void) memset(virtual_metacontent,0,cache_info->metacontent_extent);
}
switch (virtual_pixel_method)
{
case BlackVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,(Quantum) 0,virtual_pixel);
SetPixelAlpha(image,OpaqueAlpha,virtual_pixel);
break;
}
case GrayVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,QuantumRange/2,
virtual_pixel);
SetPixelAlpha(image,OpaqueAlpha,virtual_pixel);
break;
}
case TransparentVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,(Quantum) 0,virtual_pixel);
SetPixelAlpha(image,TransparentAlpha,virtual_pixel);
break;
}
case MaskVirtualPixelMethod:
case WhiteVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,QuantumRange,virtual_pixel);
SetPixelAlpha(image,OpaqueAlpha,virtual_pixel);
break;
}
default:
{
SetPixelRed(image,ClampToQuantum(image->background_color.red),
virtual_pixel);
SetPixelGreen(image,ClampToQuantum(image->background_color.green),
virtual_pixel);
SetPixelBlue(image,ClampToQuantum(image->background_color.blue),
virtual_pixel);
SetPixelBlack(image,ClampToQuantum(image->background_color.black),
virtual_pixel);
SetPixelAlpha(image,ClampToQuantum(image->background_color.alpha),
virtual_pixel);
break;
}
}
break;
}
default:
break;
}
for (v=0; v < (ssize_t) rows; v++)
{
ssize_t
y_offset;
y_offset=y+v;
if ((virtual_pixel_method == EdgeVirtualPixelMethod) ||
(virtual_pixel_method == UndefinedVirtualPixelMethod))
y_offset=EdgeY(y_offset,cache_info->rows);
for (u=0; u < (ssize_t) columns; u+=length)
{
ssize_t
x_offset;
x_offset=x+u;
length=(MagickSizeType) MagickMin(cache_info->columns-x_offset,columns-u);
if (((x_offset < 0) || (x_offset >= (ssize_t) cache_info->columns)) ||
((y_offset < 0) || (y_offset >= (ssize_t) cache_info->rows)) ||
(length == 0))
{
MagickModulo
x_modulo,
y_modulo;
/*
Transfer a single pixel.
*/
length=(MagickSizeType) 1;
switch (virtual_pixel_method)
{
case EdgeVirtualPixelMethod:
default:
{
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
EdgeX(x_offset,cache_info->columns),
EdgeY(y_offset,cache_info->rows),1UL,1UL,*virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case RandomVirtualPixelMethod:
{
if (cache_info->random_info == (RandomInfo *) NULL)
cache_info->random_info=AcquireRandomInfo();
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
RandomX(cache_info->random_info,cache_info->columns),
RandomY(cache_info->random_info,cache_info->rows),1UL,1UL,
*virtual_nexus,exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case DitherVirtualPixelMethod:
{
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
DitherX(x_offset,cache_info->columns),
DitherY(y_offset,cache_info->rows),1UL,1UL,*virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case TileVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,*virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case MirrorVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
if ((x_modulo.quotient & 0x01) == 1L)
x_modulo.remainder=(ssize_t) cache_info->columns-
x_modulo.remainder-1L;
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
if ((y_modulo.quotient & 0x01) == 1L)
y_modulo.remainder=(ssize_t) cache_info->rows-
y_modulo.remainder-1L;
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,*virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case HorizontalTileEdgeVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,EdgeY(y_offset,cache_info->rows),1UL,1UL,
*virtual_nexus,exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case VerticalTileEdgeVirtualPixelMethod:
{
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
EdgeX(x_offset,cache_info->columns),y_modulo.remainder,1UL,1UL,
*virtual_nexus,exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case BackgroundVirtualPixelMethod:
case BlackVirtualPixelMethod:
case GrayVirtualPixelMethod:
case TransparentVirtualPixelMethod:
case MaskVirtualPixelMethod:
case WhiteVirtualPixelMethod:
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
case CheckerTileVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
if (((x_modulo.quotient ^ y_modulo.quotient) & 0x01) != 0L)
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,*virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case HorizontalTileVirtualPixelMethod:
{
if ((y_offset < 0) || (y_offset >= (ssize_t) cache_info->rows))
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,*virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
case VerticalTileVirtualPixelMethod:
{
if ((x_offset < 0) || (x_offset >= (ssize_t) cache_info->columns))
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,*virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
break;
}
}
if (p == (const Quantum *) NULL)
break;
(void) memcpy(q,p,(size_t) (cache_info->number_channels*length*
sizeof(*p)));
q+=cache_info->number_channels;
if ((s != (void *) NULL) && (r != (const void *) NULL))
{
(void) memcpy(s,r,(size_t) cache_info->metacontent_extent);
s+=cache_info->metacontent_extent;
}
continue;
}
/*
Transfer a run of pixels.
*/
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x_offset,y_offset,
(size_t) length,1UL,*virtual_nexus,exception);
if (p == (const Quantum *) NULL)
break;
r=GetVirtualMetacontentFromNexus(cache_info,*virtual_nexus);
(void) memcpy(q,p,(size_t) (cache_info->number_channels*length*
sizeof(*p)));
q+=cache_info->number_channels*length;
if ((r != (void *) NULL) && (s != (const void *) NULL))
{
(void) memcpy(s,r,(size_t) length);
s+=length*cache_info->metacontent_extent;
}
}
if (u < (ssize_t) columns)
break;
}
/*
Free resources.
*/
if (virtual_metacontent != (void *) NULL)
virtual_metacontent=(void *) RelinquishMagickMemory(virtual_metacontent);
virtual_nexus=DestroyPixelCacheNexus(virtual_nexus,1);
if (v < (ssize_t) rows)
return((const Quantum *) NULL);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelCache() get virtual pixels from the in-memory or disk pixel
% cache as defined by the geometry parameters. A pointer to the pixels
% is returned if the pixels are transferred, otherwise a NULL is returned.
%
% The format of the GetVirtualPixelCache() method is:
%
% const Quantum *GetVirtualPixelCache(const Image *image,
% const VirtualPixelMethod virtual_pixel_method,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static const Quantum *GetVirtualPixelCache(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
const size_t columns,const size_t rows,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*magick_restrict p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x,y,columns,rows,
cache_info->nexus_info[id],exception);
return(p);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t V i r t u a l P i x e l Q u e u e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelQueue() returns the virtual pixels associated corresponding
% with the last call to QueueAuthenticPixels() or GetVirtualPixels().
%
% The format of the GetVirtualPixelQueue() method is:
%
% const Quantum *GetVirtualPixelQueue(const Image image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const Quantum *GetVirtualPixelQueue(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_virtual_pixels_handler !=
(GetVirtualPixelsHandler) NULL)
return(cache_info->methods.get_virtual_pixels_handler(image));
assert(id < (int) cache_info->number_threads);
return(GetVirtualPixelsNexus(cache_info,cache_info->nexus_info[id]));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t V i r t u a l P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixels() returns an immutable pixel region. If the
% region is successfully accessed, a pointer to it is returned, otherwise
% NULL is returned. The returned pointer may point to a temporary working
% copy of the pixels or it may point to the original pixels in memory.
% Performance is maximized if the selected region is part of one row, or one
% or more full rows, since there is opportunity to access the pixels in-place
% (without a copy) if the image is in memory, or in a memory-mapped file. The
% returned pointer must *never* be deallocated by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% Quantum. If the image type is CMYK or the storage class is PseudoClass,
% call GetAuthenticMetacontent() after invoking GetAuthenticPixels() to
% access the meta-content (of type void) corresponding to the the
% region.
%
% If you plan to modify the pixels, use GetAuthenticPixels() instead.
%
% Note, the GetVirtualPixels() and GetAuthenticPixels() methods are not thread-
% safe. In a threaded environment, use GetCacheViewVirtualPixels() or
% GetCacheViewAuthenticPixels() instead.
%
% The format of the GetVirtualPixels() method is:
%
% const Quantum *GetVirtualPixels(const Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport const Quantum *GetVirtualPixels(const Image *image,
const ssize_t x,const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*magick_restrict p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_virtual_pixel_handler !=
(GetVirtualPixelHandler) NULL)
return(cache_info->methods.get_virtual_pixel_handler(image,
GetPixelCacheVirtualMethod(image),x,y,columns,rows,exception));
assert(id < (int) cache_info->number_threads);
p=GetVirtualPixelCacheNexus(image,GetPixelCacheVirtualMethod(image),x,y,
columns,rows,cache_info->nexus_info[id],exception);
return(p);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l s F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelsCache() returns the pixels associated corresponding with the
% last call to QueueAuthenticPixelsCache() or GetVirtualPixelCache().
%
% The format of the GetVirtualPixelsCache() method is:
%
% Quantum *GetVirtualPixelsCache(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static const Quantum *GetVirtualPixelsCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(GetVirtualPixelsNexus(image->cache,cache_info->nexus_info[id]));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l s N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelsNexus() returns the pixels associated with the specified
% cache nexus.
%
% The format of the GetVirtualPixelsNexus() method is:
%
% const Quantum *GetVirtualPixelsNexus(const Cache cache,
% NexusInfo *nexus_info)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
% o nexus_info: the cache nexus to return the colormap pixels.
%
*/
MagickPrivate const Quantum *GetVirtualPixelsNexus(const Cache cache,
NexusInfo *magick_restrict nexus_info)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->storage_class == UndefinedClass)
return((Quantum *) NULL);
return((const Quantum *) nexus_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ M a s k P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MaskPixelCacheNexus() masks the cache nexus as defined by the image mask.
% The method returns MagickTrue if the pixel region is masked, otherwise
% MagickFalse.
%
% The format of the MaskPixelCacheNexus() method is:
%
% MagickBooleanType MaskPixelCacheNexus(Image *image,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o nexus_info: the cache nexus to clip.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline Quantum ApplyPixelCompositeMask(const Quantum p,
const MagickRealType alpha,const Quantum q,const MagickRealType beta)
{
double
mask_alpha;
if (fabs(alpha-OpaqueAlpha) < MagickEpsilon)
return(p);
mask_alpha=1.0-QuantumScale*QuantumScale*alpha*beta;
mask_alpha=PerceptibleReciprocal(mask_alpha);
return(ClampToQuantum(mask_alpha*MagickOver_((double) p,alpha,(double) q,beta)));
}
static MagickBooleanType MaskPixelCacheNexus(Image *image,NexusInfo *nexus_info,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickSizeType
number_pixels;
NexusInfo
**magick_restrict image_nexus;
register Quantum
*magick_restrict p,
*magick_restrict q;
register ssize_t
n;
/*
Apply clip mask.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->channels & CompositeMaskChannel) == 0)
return(MagickTrue);
cache_info=(CacheInfo *) image->cache;
if (cache_info == (Cache) NULL)
return(MagickFalse);
image_nexus=AcquirePixelCacheNexus(1);
p=GetAuthenticPixelCacheNexus(image,nexus_info->region.x,nexus_info->region.y,
nexus_info->region.width,nexus_info->region.height,image_nexus[0],
exception);
q=nexus_info->pixels;
number_pixels=(MagickSizeType) nexus_info->region.width*
nexus_info->region.height;
for (n=0; n < (ssize_t) number_pixels; n++)
{
double
mask_alpha;
register ssize_t
i;
if (p == (Quantum *) NULL)
break;
mask_alpha=(double) GetPixelCompositeMask(image,p);
for (i=0; i < (ssize_t) image->number_channels; i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ApplyPixelCompositeMask(p[i],mask_alpha,q[i],
(MagickRealType) GetPixelAlpha(image,q));
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(image);
}
image_nexus=DestroyPixelCacheNexus(image_nexus,1);
if (n < (ssize_t) number_pixels)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ O p e n P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OpenPixelCache() allocates the pixel cache. This includes defining the cache
% dimensions, allocating space for the image pixels and optionally the
% metacontent, and memory mapping the cache if it is disk based. The cache
% nexus array is initialized as well.
%
% The format of the OpenPixelCache() method is:
%
% MagickBooleanType OpenPixelCache(Image *image,const MapMode mode,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o mode: ReadMode, WriteMode, or IOMode.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType OpenPixelCacheOnDisk(CacheInfo *cache_info,
const MapMode mode)
{
int
file;
/*
Open pixel cache on disk.
*/
if ((cache_info->file != -1) && (cache_info->disk_mode == mode))
return(MagickTrue); /* cache already open and in the proper mode */
if (*cache_info->cache_filename == '\0')
file=AcquireUniqueFileResource(cache_info->cache_filename);
else
switch (mode)
{
case ReadMode:
{
file=open_utf8(cache_info->cache_filename,O_RDONLY | O_BINARY,0);
break;
}
case WriteMode:
{
file=open_utf8(cache_info->cache_filename,O_WRONLY | O_CREAT |
O_BINARY | O_EXCL,S_MODE);
if (file == -1)
file=open_utf8(cache_info->cache_filename,O_WRONLY | O_BINARY,S_MODE);
break;
}
case IOMode:
default:
{
file=open_utf8(cache_info->cache_filename,O_RDWR | O_CREAT | O_BINARY |
O_EXCL,S_MODE);
if (file == -1)
file=open_utf8(cache_info->cache_filename,O_RDWR | O_BINARY,S_MODE);
break;
}
}
if (file == -1)
return(MagickFalse);
(void) AcquireMagickResource(FileResource,1);
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
cache_info->file=file;
cache_info->disk_mode=mode;
return(MagickTrue);
}
static inline MagickOffsetType WritePixelCacheRegion(
const CacheInfo *magick_restrict cache_info,const MagickOffsetType offset,
const MagickSizeType length,const unsigned char *magick_restrict buffer)
{
register MagickOffsetType
i;
ssize_t
count;
#if !defined(MAGICKCORE_HAVE_PWRITE)
if (lseek(cache_info->file,offset,SEEK_SET) < 0)
return((MagickOffsetType) -1);
#endif
count=0;
for (i=0; i < (MagickOffsetType) length; i+=count)
{
#if !defined(MAGICKCORE_HAVE_PWRITE)
count=write(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX));
#else
count=pwrite(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX),offset+i);
#endif
if (count <= 0)
{
count=0;
if (errno != EINTR)
break;
}
}
return(i);
}
static MagickBooleanType SetPixelCacheExtent(Image *image,MagickSizeType length)
{
CacheInfo
*magick_restrict cache_info;
MagickOffsetType
count,
extent,
offset;
cache_info=(CacheInfo *) image->cache;
if (image->debug != MagickFalse)
{
char
format[MagickPathExtent],
message[MagickPathExtent];
(void) FormatMagickSize(length,MagickFalse,"B",MagickPathExtent,format);
(void) FormatLocaleString(message,MagickPathExtent,
"extend %s (%s[%d], disk, %s)",cache_info->filename,
cache_info->cache_filename,cache_info->file,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
if (length != (MagickSizeType) ((MagickOffsetType) length))
return(MagickFalse);
offset=(MagickOffsetType) lseek(cache_info->file,0,SEEK_END);
if (offset < 0)
return(MagickFalse);
if ((MagickSizeType) offset >= length)
count=(MagickOffsetType) 1;
else
{
extent=(MagickOffsetType) length-1;
count=WritePixelCacheRegion(cache_info,extent,1,(const unsigned char *)
"");
if (count != 1)
return(MagickFalse);
#if defined(MAGICKCORE_HAVE_POSIX_FALLOCATE)
if (cache_info->synchronize != MagickFalse)
(void) posix_fallocate(cache_info->file,offset+1,extent-offset);
#endif
}
offset=(MagickOffsetType) lseek(cache_info->file,0,SEEK_SET);
if (offset < 0)
return(MagickFalse);
return(MagickTrue);
}
static MagickBooleanType OpenPixelCache(Image *image,const MapMode mode,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info,
source_info;
char
format[MagickPathExtent],
message[MagickPathExtent];
const char
*hosts,
*type;
MagickBooleanType
status;
MagickSizeType
length,
number_pixels;
size_t
columns,
packet_size;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (cache_anonymous_memory < 0)
{
char
*value;
/*
Does the security policy require anonymous mapping for pixel cache?
*/
cache_anonymous_memory=0;
value=GetPolicyValue("pixel-cache-memory");
if (value == (char *) NULL)
value=GetPolicyValue("cache:memory-map");
if (LocaleCompare(value,"anonymous") == 0)
{
#if defined(MAGICKCORE_HAVE_MMAP) && defined(MAP_ANONYMOUS)
cache_anonymous_memory=1;
#else
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"DelegateLibrarySupportNotBuiltIn",
"'%s' (policy requires anonymous memory mapping)",image->filename);
#endif
}
value=DestroyString(value);
}
if ((image->columns == 0) || (image->rows == 0))
ThrowBinaryException(CacheError,"NoPixelsDefinedInCache",image->filename);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if ((AcquireMagickResource(WidthResource,image->columns) == MagickFalse) ||
(AcquireMagickResource(HeightResource,image->rows) == MagickFalse))
ThrowBinaryException(ImageError,"WidthOrHeightExceedsLimit",
image->filename);
length=GetImageListLength(image);
if (AcquireMagickResource(ListLengthResource,length) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"ListLengthExceedsLimit",
image->filename);
source_info=(*cache_info);
source_info.file=(-1);
(void) FormatLocaleString(cache_info->filename,MagickPathExtent,"%s[%.20g]",
image->filename,(double) image->scene);
cache_info->storage_class=image->storage_class;
cache_info->colorspace=image->colorspace;
cache_info->alpha_trait=image->alpha_trait;
cache_info->channels=image->channels;
cache_info->rows=image->rows;
cache_info->columns=image->columns;
InitializePixelChannelMap(image);
cache_info->number_channels=GetPixelChannels(image);
(void) memcpy(cache_info->channel_map,image->channel_map,MaxPixelChannels*
sizeof(*image->channel_map));
cache_info->metacontent_extent=image->metacontent_extent;
cache_info->mode=mode;
number_pixels=(MagickSizeType) cache_info->columns*cache_info->rows;
packet_size=cache_info->number_channels*sizeof(Quantum);
if (image->metacontent_extent != 0)
packet_size+=cache_info->metacontent_extent;
length=number_pixels*packet_size;
columns=(size_t) (length/cache_info->rows/packet_size);
if ((cache_info->columns != columns) || ((ssize_t) cache_info->columns < 0) ||
((ssize_t) cache_info->rows < 0))
ThrowBinaryException(ResourceLimitError,"PixelCacheAllocationFailed",
image->filename);
cache_info->length=length;
if (image->ping != MagickFalse)
{
cache_info->storage_class=image->storage_class;
cache_info->colorspace=image->colorspace;
cache_info->type=PingCache;
return(MagickTrue);
}
status=AcquireMagickResource(AreaResource,(MagickSizeType)
cache_info->columns*cache_info->rows);
if (cache_info->mode == PersistMode)
status=MagickFalse;
length=number_pixels*(cache_info->number_channels*sizeof(Quantum)+
cache_info->metacontent_extent);
if ((status != MagickFalse) &&
(length == (MagickSizeType) ((size_t) length)) &&
((cache_info->type == UndefinedCache) || (cache_info->type == MemoryCache)))
{
status=AcquireMagickResource(MemoryResource,cache_info->length);
if (status != MagickFalse)
{
status=MagickTrue;
if (cache_anonymous_memory <= 0)
{
cache_info->mapped=MagickFalse;
cache_info->pixels=(Quantum *) MagickAssumeAligned(
AcquireAlignedMemory(1,(size_t) cache_info->length));
}
else
{
cache_info->mapped=MagickTrue;
cache_info->pixels=(Quantum *) MapBlob(-1,IOMode,0,(size_t)
cache_info->length);
}
if (cache_info->pixels == (Quantum *) NULL)
{
cache_info->mapped=source_info.mapped;
cache_info->pixels=source_info.pixels;
}
else
{
/*
Create memory pixel cache.
*/
cache_info->type=MemoryCache;
cache_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
cache_info->metacontent=(void *) (cache_info->pixels+
cache_info->number_channels*number_pixels);
if ((source_info.storage_class != UndefinedClass) &&
(mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,
exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickTrue,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s %s, %.20gx%.20gx%.20g %s)",
cache_info->filename,cache_info->mapped != MagickFalse ?
"Anonymous" : "Heap",type,(double) cache_info->columns,
(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",
message);
}
return(status == 0 ? MagickFalse : MagickTrue);
}
}
}
status=AcquireMagickResource(DiskResource,cache_info->length);
hosts=(const char *) GetImageRegistry(StringRegistryType,"cache:hosts",
exception);
if ((status == MagickFalse) && (hosts != (const char *) NULL))
{
DistributeCacheInfo
*server_info;
/*
Distribute the pixel cache to a remote server.
*/
server_info=AcquireDistributeCacheInfo(exception);
if (server_info != (DistributeCacheInfo *) NULL)
{
status=OpenDistributePixelCache(server_info,image);
if (status == MagickFalse)
{
ThrowFileException(exception,CacheError,"UnableToOpenPixelCache",
GetDistributeCacheHostname(server_info));
server_info=DestroyDistributeCacheInfo(server_info);
}
else
{
/*
Create a distributed pixel cache.
*/
status=MagickTrue;
cache_info->type=DistributedCache;
cache_info->server_info=server_info;
(void) FormatLocaleString(cache_info->cache_filename,
MagickPathExtent,"%s:%d",GetDistributeCacheHostname(
(DistributeCacheInfo *) cache_info->server_info),
GetDistributeCachePort((DistributeCacheInfo *)
cache_info->server_info));
if ((source_info.storage_class != UndefinedClass) &&
(mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,
exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickFalse,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s[%d], %s, %.20gx%.20gx%.20g %s)",
cache_info->filename,cache_info->cache_filename,
GetDistributeCacheFile((DistributeCacheInfo *)
cache_info->server_info),type,(double) cache_info->columns,
(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",
message);
}
return(status == 0 ? MagickFalse : MagickTrue);
}
}
cache_info->type=UndefinedCache;
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'",image->filename);
return(MagickFalse);
}
/*
Create pixel cache on disk.
*/
if (status == MagickFalse)
{
cache_info->type=UndefinedCache;
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'",image->filename);
return(MagickFalse);
}
if ((source_info.storage_class != UndefinedClass) && (mode != ReadMode) &&
(cache_info->mode != PersistMode))
{
(void) ClosePixelCacheOnDisk(cache_info);
*cache_info->cache_filename='\0';
}
if (OpenPixelCacheOnDisk(cache_info,mode) == MagickFalse)
{
ThrowFileException(exception,CacheError,"UnableToOpenPixelCache",
image->filename);
return(MagickFalse);
}
status=SetPixelCacheExtent(image,(MagickSizeType) cache_info->offset+
cache_info->length);
if (status == MagickFalse)
{
ThrowFileException(exception,CacheError,"UnableToExtendCache",
image->filename);
return(MagickFalse);
}
length=number_pixels*(cache_info->number_channels*sizeof(Quantum)+
cache_info->metacontent_extent);
if (length != (MagickSizeType) ((size_t) length))
cache_info->type=DiskCache;
else
{
status=AcquireMagickResource(MapResource,cache_info->length);
if (status == MagickFalse)
cache_info->type=DiskCache;
else
if ((cache_info->type != MapCache) && (cache_info->type != MemoryCache))
{
cache_info->type=DiskCache;
RelinquishMagickResource(MapResource,cache_info->length);
}
else
{
cache_info->pixels=(Quantum *) MapBlob(cache_info->file,mode,
cache_info->offset,(size_t) cache_info->length);
if (cache_info->pixels == (Quantum *) NULL)
{
cache_info->type=DiskCache;
cache_info->mapped=source_info.mapped;
cache_info->pixels=source_info.pixels;
RelinquishMagickResource(MapResource,cache_info->length);
}
else
{
/*
Create file-backed memory-mapped pixel cache.
*/
(void) ClosePixelCacheOnDisk(cache_info);
cache_info->type=MapCache;
cache_info->mapped=MagickTrue;
cache_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
cache_info->metacontent=(void *) (cache_info->pixels+
cache_info->number_channels*number_pixels);
if ((source_info.storage_class != UndefinedClass) &&
(mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,
exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickTrue,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s[%d], %s, %.20gx%.20gx%.20g %s)",
cache_info->filename,cache_info->cache_filename,
cache_info->file,type,(double) cache_info->columns,
(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",
message);
}
return(status == 0 ? MagickFalse : MagickTrue);
}
}
}
status=MagickTrue;
if ((source_info.storage_class != UndefinedClass) && (mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickFalse,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s[%d], %s, %.20gx%.20gx%.20g %s)",cache_info->filename,
cache_info->cache_filename,cache_info->file,type,(double)
cache_info->columns,(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
return(status == 0 ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P e r s i s t P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PersistPixelCache() attaches to or initializes a persistent pixel cache. A
% persistent pixel cache is one that resides on disk and is not destroyed
% when the program exits.
%
% The format of the PersistPixelCache() method is:
%
% MagickBooleanType PersistPixelCache(Image *image,const char *filename,
% const MagickBooleanType attach,MagickOffsetType *offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o filename: the persistent pixel cache filename.
%
% o attach: A value other than zero initializes the persistent pixel cache.
%
% o initialize: A value other than zero initializes the persistent pixel
% cache.
%
% o offset: the offset in the persistent cache to store pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType PersistPixelCache(Image *image,
const char *filename,const MagickBooleanType attach,MagickOffsetType *offset,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info,
*magick_restrict clone_info;
MagickBooleanType
status;
ssize_t
page_size;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (void *) NULL);
assert(filename != (const char *) NULL);
assert(offset != (MagickOffsetType *) NULL);
page_size=GetMagickPageSize();
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
CopyOpenCLBuffer(cache_info);
#endif
if (attach != MagickFalse)
{
/*
Attach existing persistent pixel cache.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"attach persistent cache");
(void) CopyMagickString(cache_info->cache_filename,filename,
MagickPathExtent);
cache_info->type=DiskCache;
cache_info->offset=(*offset);
if (OpenPixelCache(image,ReadMode,exception) == MagickFalse)
return(MagickFalse);
*offset+=cache_info->length+page_size-(cache_info->length % page_size);
return(SyncImagePixelCache(image,exception));
}
/*
Clone persistent pixel cache.
*/
status=AcquireMagickResource(DiskResource,cache_info->length);
if (status == MagickFalse)
{
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'",image->filename);
return(MagickFalse);
}
clone_info=(CacheInfo *) ClonePixelCache(cache_info);
clone_info->type=DiskCache;
(void) CopyMagickString(clone_info->cache_filename,filename,MagickPathExtent);
clone_info->file=(-1);
clone_info->storage_class=cache_info->storage_class;
clone_info->colorspace=cache_info->colorspace;
clone_info->alpha_trait=cache_info->alpha_trait;
clone_info->channels=cache_info->channels;
clone_info->columns=cache_info->columns;
clone_info->rows=cache_info->rows;
clone_info->number_channels=cache_info->number_channels;
clone_info->metacontent_extent=cache_info->metacontent_extent;
clone_info->mode=PersistMode;
clone_info->length=cache_info->length;
(void) memcpy(clone_info->channel_map,cache_info->channel_map,
MaxPixelChannels*sizeof(*cache_info->channel_map));
clone_info->offset=(*offset);
status=ClonePixelCacheRepository(clone_info,cache_info,exception);
*offset+=cache_info->length+page_size-(cache_info->length % page_size);
clone_info=(CacheInfo *) DestroyPixelCache(clone_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ Q u e u e A u t h e n t i c P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QueueAuthenticPixelCacheNexus() allocates an region to store image pixels as
% defined by the region rectangle and returns a pointer to the region. This
% region is subsequently transferred from the pixel cache with
% SyncAuthenticPixelsCache(). A pointer to the pixels is returned if the
% pixels are transferred, otherwise a NULL is returned.
%
% The format of the QueueAuthenticPixelCacheNexus() method is:
%
% Quantum *QueueAuthenticPixelCacheNexus(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% const MagickBooleanType clone,NexusInfo *nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o nexus_info: the cache nexus to set.
%
% o clone: clone the pixel cache.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate Quantum *QueueAuthenticPixelCacheNexus(Image *image,
const ssize_t x,const ssize_t y,const size_t columns,const size_t rows,
const MagickBooleanType clone,NexusInfo *nexus_info,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickOffsetType
offset;
MagickSizeType
number_pixels;
Quantum
*magick_restrict pixels;
RectangleInfo
region;
/*
Validate pixel cache geometry.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) GetImagePixelCache(image,clone,exception);
if (cache_info == (Cache) NULL)
return((Quantum *) NULL);
assert(cache_info->signature == MagickCoreSignature);
if ((cache_info->columns == 0) || (cache_info->rows == 0) || (x < 0) ||
(y < 0) || (x >= (ssize_t) cache_info->columns) ||
(y >= (ssize_t) cache_info->rows))
{
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"PixelsAreNotAuthentic","`%s'",image->filename);
return((Quantum *) NULL);
}
offset=(MagickOffsetType) y*cache_info->columns+x;
if (offset < 0)
return((Quantum *) NULL);
number_pixels=(MagickSizeType) cache_info->columns*cache_info->rows;
offset+=(MagickOffsetType) (rows-1)*cache_info->columns+columns-1;
if ((MagickSizeType) offset >= number_pixels)
return((Quantum *) NULL);
/*
Return pixel cache.
*/
region.x=x;
region.y=y;
region.width=columns;
region.height=rows;
pixels=SetPixelCacheNexusPixels(cache_info,WriteMode,®ion,
((image->channels & WriteMaskChannel) != 0) ||
((image->channels & CompositeMaskChannel) != 0) ? MagickTrue : MagickFalse,
nexus_info,exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ Q u e u e A u t h e n t i c P i x e l s C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QueueAuthenticPixelsCache() allocates an region to store image pixels as
% defined by the region rectangle and returns a pointer to the region. This
% region is subsequently transferred from the pixel cache with
% SyncAuthenticPixelsCache(). A pointer to the pixels is returned if the
% pixels are transferred, otherwise a NULL is returned.
%
% The format of the QueueAuthenticPixelsCache() method is:
%
% Quantum *QueueAuthenticPixelsCache(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Quantum *QueueAuthenticPixelsCache(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*magick_restrict pixels;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
pixels=QueueAuthenticPixelCacheNexus(image,x,y,columns,rows,MagickFalse,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Q u e u e A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QueueAuthenticPixels() queues a mutable pixel region. If the region is
% successfully initialized a pointer to a Quantum array representing the
% region is returned, otherwise NULL is returned. The returned pointer may
% point to a temporary working buffer for the pixels or it may point to the
% final location of the pixels in memory.
%
% Write-only access means that any existing pixel values corresponding to
% the region are ignored. This is useful if the initial image is being
% created from scratch, or if the existing pixel values are to be
% completely replaced without need to refer to their pre-existing values.
% The application is free to read and write the pixel buffer returned by
% QueueAuthenticPixels() any way it pleases. QueueAuthenticPixels() does not
% initialize the pixel array values. Initializing pixel array values is the
% application's responsibility.
%
% Performance is maximized if the selected region is part of one row, or
% one or more full rows, since then there is opportunity to access the
% pixels in-place (without a copy) if the image is in memory, or in a
% memory-mapped file. The returned pointer must *never* be deallocated
% by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% Quantum. If the image type is CMYK or the storage class is PseudoClass,
% call GetAuthenticMetacontent() after invoking GetAuthenticPixels() to
% obtain the meta-content (of type void) corresponding to the region.
% Once the Quantum (and/or Quantum) array has been updated, the
% changes must be saved back to the underlying image using
% SyncAuthenticPixels() or they may be lost.
%
% The format of the QueueAuthenticPixels() method is:
%
% Quantum *QueueAuthenticPixels(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Quantum *QueueAuthenticPixels(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*magick_restrict pixels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.queue_authentic_pixels_handler !=
(QueueAuthenticPixelsHandler) NULL)
{
pixels=cache_info->methods.queue_authentic_pixels_handler(image,x,y,
columns,rows,exception);
return(pixels);
}
assert(id < (int) cache_info->number_threads);
pixels=QueueAuthenticPixelCacheNexus(image,x,y,columns,rows,MagickFalse,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e a d P i x e l C a c h e M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadPixelCacheMetacontent() reads metacontent from the specified region of
% the pixel cache.
%
% The format of the ReadPixelCacheMetacontent() method is:
%
% MagickBooleanType ReadPixelCacheMetacontent(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to read the metacontent.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickOffsetType ReadPixelCacheRegion(
const CacheInfo *magick_restrict cache_info,const MagickOffsetType offset,
const MagickSizeType length,unsigned char *magick_restrict buffer)
{
register MagickOffsetType
i;
ssize_t
count;
#if !defined(MAGICKCORE_HAVE_PREAD)
if (lseek(cache_info->file,offset,SEEK_SET) < 0)
return((MagickOffsetType) -1);
#endif
count=0;
for (i=0; i < (MagickOffsetType) length; i+=count)
{
#if !defined(MAGICKCORE_HAVE_PREAD)
count=read(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX));
#else
count=pread(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX),offset+i);
#endif
if (count <= 0)
{
count=0;
if (errno != EINTR)
break;
}
}
return(i);
}
static MagickBooleanType ReadPixelCacheMetacontent(
CacheInfo *magick_restrict cache_info,NexusInfo *magick_restrict nexus_info,
ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register ssize_t
y;
register unsigned char
*magick_restrict q;
size_t
rows;
if (cache_info->metacontent_extent == 0)
return(MagickFalse);
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) nexus_info->region.width*
cache_info->metacontent_extent;
extent=length*nexus_info->region.height;
rows=nexus_info->region.height;
y=0;
q=(unsigned char *) nexus_info->metacontent;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register unsigned char
*magick_restrict p;
/*
Read meta-content from memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
p=(unsigned char *) cache_info->metacontent+offset*
cache_info->metacontent_extent;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=cache_info->metacontent_extent*cache_info->columns;
q+=cache_info->metacontent_extent*nexus_info->region.width;
}
break;
}
case DiskCache:
{
/*
Read meta content from disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
extent=(MagickSizeType) cache_info->columns*cache_info->rows;
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadPixelCacheRegion(cache_info,cache_info->offset+extent*
cache_info->number_channels*sizeof(Quantum)+offset*
cache_info->metacontent_extent,length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
offset+=cache_info->columns;
q+=cache_info->metacontent_extent*nexus_info->region.width;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Read metacontent from distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadDistributePixelCacheMetacontent((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
q+=cache_info->metacontent_extent*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToReadPixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e a d P i x e l C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadPixelCachePixels() reads pixels from the specified region of the pixel
% cache.
%
% The format of the ReadPixelCachePixels() method is:
%
% MagickBooleanType ReadPixelCachePixels(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to read the pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType ReadPixelCachePixels(
CacheInfo *magick_restrict cache_info,NexusInfo *magick_restrict nexus_info,
ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register Quantum
*magick_restrict q;
register ssize_t
y;
size_t
number_channels,
rows;
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns;
if ((ssize_t) (offset/cache_info->columns) != nexus_info->region.y)
return(MagickFalse);
offset+=nexus_info->region.x;
number_channels=cache_info->number_channels;
length=(MagickSizeType) number_channels*nexus_info->region.width*
sizeof(Quantum);
if ((length/number_channels/sizeof(Quantum)) != nexus_info->region.width)
return(MagickFalse);
rows=nexus_info->region.height;
extent=length*rows;
if ((extent == 0) || ((extent/length) != rows))
return(MagickFalse);
y=0;
q=nexus_info->pixels;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register Quantum
*magick_restrict p;
/*
Read pixels from memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
p=cache_info->pixels+cache_info->number_channels*offset;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=cache_info->number_channels*cache_info->columns;
q+=cache_info->number_channels*nexus_info->region.width;
}
break;
}
case DiskCache:
{
/*
Read pixels from disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadPixelCacheRegion(cache_info,cache_info->offset+offset*
cache_info->number_channels*sizeof(*q),length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
offset+=cache_info->columns;
q+=cache_info->number_channels*nexus_info->region.width;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Read pixels from distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadDistributePixelCachePixels((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
q+=cache_info->number_channels*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToReadPixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e f e r e n c e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReferencePixelCache() increments the reference count associated with the
% pixel cache returning a pointer to the cache.
%
% The format of the ReferencePixelCache method is:
%
% Cache ReferencePixelCache(Cache cache_info)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
*/
MagickPrivate Cache ReferencePixelCache(Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache *) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
LockSemaphoreInfo(cache_info->semaphore);
cache_info->reference_count++;
UnlockSemaphoreInfo(cache_info->semaphore);
return(cache_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e s e t P i x e l C a c h e C h a n n e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetPixelCacheChannels() resets the pixel cache channels.
%
% The format of the ResetPixelCacheChannels method is:
%
% void ResetPixelCacheChannels(Image *)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickPrivate void ResetPixelCacheChannels(Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
cache_info->number_channels=GetPixelChannels(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e s e t C a c h e A n o n y m o u s M e m o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetCacheAnonymousMemory() resets the anonymous_memory value.
%
% The format of the ResetCacheAnonymousMemory method is:
%
% void ResetCacheAnonymousMemory(void)
%
*/
MagickPrivate void ResetCacheAnonymousMemory(void)
{
cache_anonymous_memory=0;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e s e t P i x e l C a c h e E p o c h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetPixelCacheEpoch() resets the pixel cache epoch.
%
% The format of the ResetPixelCacheEpoch method is:
%
% void ResetPixelCacheEpoch(void)
%
*/
MagickPrivate void ResetPixelCacheEpoch(void)
{
cache_epoch=0;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S e t P i x e l C a c h e M e t h o d s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetPixelCacheMethods() sets the image pixel methods to the specified ones.
%
% The format of the SetPixelCacheMethods() method is:
%
% SetPixelCacheMethods(Cache *,CacheMethods *cache_methods)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
% o cache_methods: Specifies a pointer to a CacheMethods structure.
%
*/
MagickPrivate void SetPixelCacheMethods(Cache cache,CacheMethods *cache_methods)
{
CacheInfo
*magick_restrict cache_info;
GetOneAuthenticPixelFromHandler
get_one_authentic_pixel_from_handler;
GetOneVirtualPixelFromHandler
get_one_virtual_pixel_from_handler;
/*
Set cache pixel methods.
*/
assert(cache != (Cache) NULL);
assert(cache_methods != (CacheMethods *) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
if (cache_methods->get_virtual_pixel_handler != (GetVirtualPixelHandler) NULL)
cache_info->methods.get_virtual_pixel_handler=
cache_methods->get_virtual_pixel_handler;
if (cache_methods->destroy_pixel_handler != (DestroyPixelHandler) NULL)
cache_info->methods.destroy_pixel_handler=
cache_methods->destroy_pixel_handler;
if (cache_methods->get_virtual_metacontent_from_handler !=
(GetVirtualMetacontentFromHandler) NULL)
cache_info->methods.get_virtual_metacontent_from_handler=
cache_methods->get_virtual_metacontent_from_handler;
if (cache_methods->get_authentic_pixels_handler !=
(GetAuthenticPixelsHandler) NULL)
cache_info->methods.get_authentic_pixels_handler=
cache_methods->get_authentic_pixels_handler;
if (cache_methods->queue_authentic_pixels_handler !=
(QueueAuthenticPixelsHandler) NULL)
cache_info->methods.queue_authentic_pixels_handler=
cache_methods->queue_authentic_pixels_handler;
if (cache_methods->sync_authentic_pixels_handler !=
(SyncAuthenticPixelsHandler) NULL)
cache_info->methods.sync_authentic_pixels_handler=
cache_methods->sync_authentic_pixels_handler;
if (cache_methods->get_authentic_pixels_from_handler !=
(GetAuthenticPixelsFromHandler) NULL)
cache_info->methods.get_authentic_pixels_from_handler=
cache_methods->get_authentic_pixels_from_handler;
if (cache_methods->get_authentic_metacontent_from_handler !=
(GetAuthenticMetacontentFromHandler) NULL)
cache_info->methods.get_authentic_metacontent_from_handler=
cache_methods->get_authentic_metacontent_from_handler;
get_one_virtual_pixel_from_handler=
cache_info->methods.get_one_virtual_pixel_from_handler;
if (get_one_virtual_pixel_from_handler !=
(GetOneVirtualPixelFromHandler) NULL)
cache_info->methods.get_one_virtual_pixel_from_handler=
cache_methods->get_one_virtual_pixel_from_handler;
get_one_authentic_pixel_from_handler=
cache_methods->get_one_authentic_pixel_from_handler;
if (get_one_authentic_pixel_from_handler !=
(GetOneAuthenticPixelFromHandler) NULL)
cache_info->methods.get_one_authentic_pixel_from_handler=
cache_methods->get_one_authentic_pixel_from_handler;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S e t P i x e l C a c h e N e x u s P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetPixelCacheNexusPixels() defines the region of the cache for the
% specified cache nexus.
%
% The format of the SetPixelCacheNexusPixels() method is:
%
% Quantum SetPixelCacheNexusPixels(const CacheInfo *cache_info,
% const MapMode mode,const RectangleInfo *region,
% const MagickBooleanType buffered,NexusInfo *nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o mode: ReadMode, WriteMode, or IOMode.
%
% o region: A pointer to the RectangleInfo structure that defines the
% region of this particular cache nexus.
%
% o buffered: if true, nexus pixels are buffered.
%
% o nexus_info: the cache nexus to set.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickBooleanType AcquireCacheNexusPixels(
const CacheInfo *magick_restrict cache_info,const MagickSizeType length,
NexusInfo *nexus_info,ExceptionInfo *exception)
{
if (length != (MagickSizeType) ((size_t) length))
return(MagickFalse);
nexus_info->length=0;
nexus_info->mapped=MagickFalse;
if (cache_anonymous_memory <= 0)
{
nexus_info->cache=(Quantum *) MagickAssumeAligned(AcquireAlignedMemory(1,
(size_t) length));
if (nexus_info->cache != (Quantum *) NULL)
(void) memset(nexus_info->cache,0,(size_t) length);
}
else
{
nexus_info->cache=(Quantum *) MapBlob(-1,IOMode,0,(size_t) length);
if (nexus_info->cache != (Quantum *) NULL)
nexus_info->mapped=MagickTrue;
}
if (nexus_info->cache == (Quantum *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
cache_info->filename);
return(MagickFalse);
}
nexus_info->length=length;
return(MagickTrue);
}
static inline void PrefetchPixelCacheNexusPixels(const NexusInfo *nexus_info,
const MapMode mode)
{
if (nexus_info->length < CACHE_LINE_SIZE)
return;
if (mode == ReadMode)
{
MagickCachePrefetch((unsigned char *) nexus_info->pixels+CACHE_LINE_SIZE,
0,1);
return;
}
MagickCachePrefetch((unsigned char *) nexus_info->pixels+CACHE_LINE_SIZE,1,1);
}
static Quantum *SetPixelCacheNexusPixels(const CacheInfo *cache_info,
const MapMode mode,const RectangleInfo *region,
const MagickBooleanType buffered,NexusInfo *nexus_info,
ExceptionInfo *exception)
{
MagickBooleanType
status;
MagickSizeType
length,
number_pixels;
assert(cache_info != (const CacheInfo *) NULL);
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->type == UndefinedCache)
return((Quantum *) NULL);
(void) memset(&nexus_info->region,0,sizeof(nexus_info->region));
if ((region->width == 0) || (region->height == 0))
return((Quantum *) NULL);
if (((cache_info->type == MemoryCache) || (cache_info->type == MapCache)) &&
(buffered == MagickFalse))
{
ssize_t
x,
y;
x=(ssize_t) region->width+region->x-1;
y=(ssize_t) region->height+region->y-1;
if (((region->x >= 0) &&
(region->y >= 0) && (y < (ssize_t) cache_info->rows)) &&
(((region->x == 0) && (region->width == cache_info->columns)) ||
((region->height == 1) && (x < (ssize_t) cache_info->columns))))
{
MagickOffsetType
offset;
/*
Pixels are accessed directly from memory.
*/
offset=(MagickOffsetType) region->y*cache_info->columns+region->x;
nexus_info->pixels=cache_info->pixels+cache_info->number_channels*
offset;
nexus_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
nexus_info->metacontent=(unsigned char *) cache_info->metacontent+
offset*cache_info->metacontent_extent;
nexus_info->region=(*region);
nexus_info->authentic_pixel_cache=MagickTrue;
PrefetchPixelCacheNexusPixels(nexus_info,mode);
return(nexus_info->pixels);
}
}
/*
Pixels are stored in a staging region until they are synced to the cache.
*/
number_pixels=(MagickSizeType) region->width*region->height;
length=MagickMax(number_pixels,cache_info->columns)*
cache_info->number_channels*sizeof(*nexus_info->pixels);
if (cache_info->metacontent_extent != 0)
length+=number_pixels*cache_info->metacontent_extent;
status=MagickTrue;
if (nexus_info->cache == (Quantum *) NULL)
status=AcquireCacheNexusPixels(cache_info,length,nexus_info,exception);
else
if (nexus_info->length < length)
{
RelinquishCacheNexusPixels(nexus_info);
status=AcquireCacheNexusPixels(cache_info,length,nexus_info,exception);
}
if (status == MagickFalse)
return((Quantum *) NULL);
nexus_info->pixels=nexus_info->cache;
nexus_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
nexus_info->metacontent=(void *) (nexus_info->pixels+
cache_info->number_channels*number_pixels);
nexus_info->region=(*region);
nexus_info->authentic_pixel_cache=cache_info->type == PingCache ?
MagickTrue : MagickFalse;
PrefetchPixelCacheNexusPixels(nexus_info,mode);
return(nexus_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t P i x e l C a c h e V i r t u a l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetPixelCacheVirtualMethod() sets the "virtual pixels" method for the
% pixel cache and returns the previous setting. A virtual pixel is any pixel
% access that is outside the boundaries of the image cache.
%
% The format of the SetPixelCacheVirtualMethod() method is:
%
% VirtualPixelMethod SetPixelCacheVirtualMethod(Image *image,
% const VirtualPixelMethod virtual_pixel_method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: choose the type of virtual pixel.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType SetCacheAlphaChannel(Image *image,const Quantum alpha,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
CacheView
*magick_restrict image_view;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
image->alpha_trait=BlendPixelTrait;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception); /* must be virtual */
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelAlpha(image,alpha,q);
q+=GetPixelChannels(image);
}
status=SyncCacheViewAuthenticPixels(image_view,exception);
}
image_view=DestroyCacheView(image_view);
return(status);
}
MagickPrivate VirtualPixelMethod SetPixelCacheVirtualMethod(Image *image,
const VirtualPixelMethod virtual_pixel_method,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
VirtualPixelMethod
method;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
method=cache_info->virtual_pixel_method;
cache_info->virtual_pixel_method=virtual_pixel_method;
if ((image->columns != 0) && (image->rows != 0))
switch (virtual_pixel_method)
{
case BackgroundVirtualPixelMethod:
{
if ((image->background_color.alpha_trait != UndefinedPixelTrait) &&
(image->alpha_trait == UndefinedPixelTrait))
(void) SetCacheAlphaChannel(image,OpaqueAlpha,exception);
if ((IsPixelInfoGray(&image->background_color) == MagickFalse) &&
(IsGrayColorspace(image->colorspace) != MagickFalse))
(void) SetImageColorspace(image,sRGBColorspace,exception);
break;
}
case TransparentVirtualPixelMethod:
{
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetCacheAlphaChannel(image,OpaqueAlpha,exception);
break;
}
default:
break;
}
return(method);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c A u t h e n t i c O p e n C L B u f f e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticOpenCLBuffer() makes sure that all the OpenCL operations have
% been completed and updates the host memory.
%
% The format of the SyncAuthenticOpenCLBuffer() method is:
%
% void SyncAuthenticOpenCLBuffer(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static void CopyOpenCLBuffer(CacheInfo *magick_restrict cache_info)
{
assert(cache_info != (CacheInfo *) NULL);
assert(cache_info->signature == MagickCoreSignature);
if ((cache_info->type != MemoryCache) ||
(cache_info->opencl == (MagickCLCacheInfo) NULL))
return;
/*
Ensure single threaded access to OpenCL environment.
*/
LockSemaphoreInfo(cache_info->semaphore);
cache_info->opencl=CopyMagickCLCacheInfo(cache_info->opencl);
UnlockSemaphoreInfo(cache_info->semaphore);
}
MagickPrivate void SyncAuthenticOpenCLBuffer(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
cache_info=(CacheInfo *) image->cache;
CopyOpenCLBuffer(cache_info);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c A u t h e n t i c P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticPixelCacheNexus() saves the authentic image pixels to the
% in-memory or disk cache. The method returns MagickTrue if the pixel region
% is synced, otherwise MagickFalse.
%
% The format of the SyncAuthenticPixelCacheNexus() method is:
%
% MagickBooleanType SyncAuthenticPixelCacheNexus(Image *image,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o nexus_info: the cache nexus to sync.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate MagickBooleanType SyncAuthenticPixelCacheNexus(Image *image,
NexusInfo *magick_restrict nexus_info,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickBooleanType
status;
/*
Transfer pixels to the cache.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->cache == (Cache) NULL)
ThrowBinaryException(CacheError,"PixelCacheIsNotOpen",image->filename);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->type == UndefinedCache)
return(MagickFalse);
if (image->mask_trait != UpdatePixelTrait)
{
if (((image->channels & WriteMaskChannel) != 0) &&
(ClipPixelCacheNexus(image,nexus_info,exception) == MagickFalse))
return(MagickFalse);
if (((image->channels & CompositeMaskChannel) != 0) &&
(MaskPixelCacheNexus(image,nexus_info,exception) == MagickFalse))
return(MagickFalse);
}
if (nexus_info->authentic_pixel_cache != MagickFalse)
{
image->taint=MagickTrue;
return(MagickTrue);
}
assert(cache_info->signature == MagickCoreSignature);
status=WritePixelCachePixels(cache_info,nexus_info,exception);
if ((cache_info->metacontent_extent != 0) &&
(WritePixelCacheMetacontent(cache_info,nexus_info,exception) == MagickFalse))
return(MagickFalse);
if (status != MagickFalse)
image->taint=MagickTrue;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c A u t h e n t i c P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticPixelsCache() saves the authentic image pixels to the in-memory
% or disk cache. The method returns MagickTrue if the pixel region is synced,
% otherwise MagickFalse.
%
% The format of the SyncAuthenticPixelsCache() method is:
%
% MagickBooleanType SyncAuthenticPixelsCache(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType SyncAuthenticPixelsCache(Image *image,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
status=SyncAuthenticPixelCacheNexus(image,cache_info->nexus_info[id],
exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticPixels() saves the image pixels to the in-memory or disk cache.
% The method returns MagickTrue if the pixel region is flushed, otherwise
% MagickFalse.
%
% The format of the SyncAuthenticPixels() method is:
%
% MagickBooleanType SyncAuthenticPixels(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 SyncAuthenticPixels(Image *image,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.sync_authentic_pixels_handler != (SyncAuthenticPixelsHandler) NULL)
{
status=cache_info->methods.sync_authentic_pixels_handler(image,
exception);
return(status);
}
assert(id < (int) cache_info->number_threads);
status=SyncAuthenticPixelCacheNexus(image,cache_info->nexus_info[id],
exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c I m a g e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImagePixelCache() saves the image pixels to the in-memory or disk cache.
% The method returns MagickTrue if the pixel region is flushed, otherwise
% MagickFalse.
%
% The format of the SyncImagePixelCache() method is:
%
% MagickBooleanType SyncImagePixelCache(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate MagickBooleanType SyncImagePixelCache(Image *image,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(exception != (ExceptionInfo *) NULL);
cache_info=(CacheInfo *) GetImagePixelCache(image,MagickTrue,exception);
return(cache_info == (CacheInfo *) NULL ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ W r i t e P i x e l C a c h e M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WritePixelCacheMetacontent() writes the meta-content to the specified region
% of the pixel cache.
%
% The format of the WritePixelCacheMetacontent() method is:
%
% MagickBooleanType WritePixelCacheMetacontent(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to write the meta-content.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType WritePixelCacheMetacontent(CacheInfo *cache_info,
NexusInfo *magick_restrict nexus_info,ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register const unsigned char
*magick_restrict p;
register ssize_t
y;
size_t
rows;
if (cache_info->metacontent_extent == 0)
return(MagickFalse);
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) nexus_info->region.width*
cache_info->metacontent_extent;
extent=(MagickSizeType) length*nexus_info->region.height;
rows=nexus_info->region.height;
y=0;
p=(unsigned char *) nexus_info->metacontent;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register unsigned char
*magick_restrict q;
/*
Write associated pixels to memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
q=(unsigned char *) cache_info->metacontent+offset*
cache_info->metacontent_extent;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=nexus_info->region.width*cache_info->metacontent_extent;
q+=cache_info->columns*cache_info->metacontent_extent;
}
break;
}
case DiskCache:
{
/*
Write associated pixels to disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
extent=(MagickSizeType) cache_info->columns*cache_info->rows;
for (y=0; y < (ssize_t) rows; y++)
{
count=WritePixelCacheRegion(cache_info,cache_info->offset+extent*
cache_info->number_channels*sizeof(Quantum)+offset*
cache_info->metacontent_extent,length,(const unsigned char *) p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->metacontent_extent*nexus_info->region.width;
offset+=cache_info->columns;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Write metacontent to distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=WriteDistributePixelCacheMetacontent((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(const unsigned char *) p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->metacontent_extent*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToWritePixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ W r i t e C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WritePixelCachePixels() writes image pixels to the specified region of the
% pixel cache.
%
% The format of the WritePixelCachePixels() method is:
%
% MagickBooleanType WritePixelCachePixels(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to write the pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType WritePixelCachePixels(
CacheInfo *magick_restrict cache_info,NexusInfo *magick_restrict nexus_info,
ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register const Quantum
*magick_restrict p;
register ssize_t
y;
size_t
rows;
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) cache_info->number_channels*nexus_info->region.width*
sizeof(Quantum);
extent=length*nexus_info->region.height;
rows=nexus_info->region.height;
y=0;
p=nexus_info->pixels;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register Quantum
*magick_restrict q;
/*
Write pixels to memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
q=cache_info->pixels+cache_info->number_channels*offset;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=cache_info->number_channels*nexus_info->region.width;
q+=cache_info->number_channels*cache_info->columns;
}
break;
}
case DiskCache:
{
/*
Write pixels to disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=WritePixelCacheRegion(cache_info,cache_info->offset+offset*
cache_info->number_channels*sizeof(*p),length,(const unsigned char *)
p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->number_channels*nexus_info->region.width;
offset+=cache_info->columns;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Write pixels to distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=WriteDistributePixelCachePixels((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(const unsigned char *) p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->number_channels*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToWritePixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
|
GB_unaryop__abs_uint8_bool.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_uint8_bool
// op(A') function: GB_tran__abs_uint8_bool
// C type: uint8_t
// A type: bool
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
bool
#define GB_CTYPE \
uint8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
uint8_t z = (uint8_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_UINT8 || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_uint8_bool
(
uint8_t *restrict Cx,
const bool *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_uint8_bool
(
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
|
SplineHybridAdoptorReaderP.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2016 Jeongnim Kim and QMCPACK developers.
//
// File developed by: Jeremy McMinnis, jmcminis@gmail.com, University of Illinois at Urbana-Champaign
// Jeongnim Kim, jeongnim.kim@gmail.com, University of Illinois at Urbana-Champaign
// Ye Luo, yeluo@anl.gov, Argonne National Laboratory
// Mark A. Berrill, berrillma@ornl.gov, Oak Ridge National Laboratory
// Jeongnim Kim, jeongnim.kim@inte.com, Intel Corp.
//
// File created by: Jeongnim Kim, jeongnim.kim@gmail.com, University of Illinois at Urbana-Champaign
//////////////////////////////////////////////////////////////////////////////////////
/** @file SplineHybridAdoptorReader.h
*
* derived from SplineAdoptorReader
*/
#ifndef QMCPLUSPLUS_EINSPLINE_HYBRID_ADOPTOR_READERP_H
#define QMCPLUSPLUS_EINSPLINE_HYBRID_ADOPTOR_READERP_H
#include <Numerics/Quadrature.h>
#include <Numerics/Bessel.h>
#include <QMCWaveFunctions/BsplineFactory/HybridAdoptorBase.h>
//#include <QMCHamiltonians/Ylm.h>
//#define PRINT_RADIAL
namespace qmcplusplus
{
template<typename ST, typename LT>
struct Gvectors
{
typedef TinyVector<ST,3> PosType;
typedef std::complex<ST> ValueType;
const LT& Lattice;
std::vector<PosType> gvecs_cart; //Cartesian.
std::vector<ST> gmag;
const size_t NumGvecs;
Gvectors(const std::vector<TinyVector<int,3> >& gvecs_in,
const LT& Lattice_in,
const TinyVector<int,3>& HalfG,
size_t first, size_t last):
Lattice(Lattice_in), NumGvecs(last-first)
{
gvecs_cart.resize(NumGvecs);
gmag.resize(NumGvecs);
#pragma omp parallel for
for(size_t ig=0; ig<NumGvecs; ig++)
{
TinyVector<ST,3> gvec_shift;
gvec_shift=gvecs_in[ig+first]+HalfG*0.5;
gvecs_cart[ig]=Lattice.k_cart(gvec_shift);
gmag[ig]=std::sqrt(dot(gvecs_cart[ig],gvecs_cart[ig]));
}
}
template<typename YLM_ENGINE, typename VVT>
void calc_Ylm_G(const size_t ig, YLM_ENGINE &Ylm, VVT &YlmG) const
{
PosType Ghat(0.0,0.0,1.0);
if(gmag[ig]>0)
Ghat=gvecs_cart[ig]/gmag[ig];
Ylm.evaluateV(Ghat[0], Ghat[1], Ghat[2], YlmG.data());
}
template<typename VVT>
inline void calc_jlm_G(const int lmax, ST &r, const size_t ig, VVT &j_lm_G) const
{
bessel_steed_array_cpu(lmax, gmag[ig]*r, j_lm_G.data());
for(size_t l=lmax; l>0; l--)
for(size_t lm=l*l; lm<(l+1)*(l+1); lm++)
j_lm_G[lm]=j_lm_G[l];
}
template<typename PT, typename VT>
inline void calc_phase_shift(const PT& RSoA, const size_t ig, VT &phase_shift_real, VT &phase_shift_imag) const
{
const ST* restrict px=RSoA.data(0);
const ST* restrict py=RSoA.data(1);
const ST* restrict pz=RSoA.data(2);
ST* restrict v_r=phase_shift_real.data();
ST* restrict v_i=phase_shift_imag.data();
const ST &gv_x=gvecs_cart[ig][0];
const ST &gv_y=gvecs_cart[ig][1];
const ST &gv_z=gvecs_cart[ig][2];
#pragma omp simd aligned(px,py,pz,v_r,v_i)
for(size_t iat=0; iat<RSoA.size(); iat++)
sincos(px[iat]*gv_x+py[iat]*gv_y+pz[iat]*gv_z,v_i+iat,v_r+iat);
}
template<typename PT>
ValueType evaluate_psi_r(const Vector<std::complex<double> >& cG, const PT& pos)
{
assert(cG.size()==NumGvecs);
std::complex<ST> val(0.0,0.0);
for(size_t ig=0; ig<NumGvecs; ig++)
{
ST s,c;
sincos(dot(gvecs_cart[ig],pos),&s,&c);
ValueType pw0(c,s);
val+=cG[ig]*pw0;
}
return val;
}
template<typename PT>
void evaluate_psi_r(const Vector<std::complex<double> >& cG, const PT& pos, ValueType& phi, ValueType& d2phi)
{
assert(cG.size()==NumGvecs);
d2phi=phi=0.0;
for(size_t ig=0; ig<NumGvecs; ig++)
{
ST s,c;
sincos(dot(gvecs_cart[ig],pos),&s,&c);
ValueType pw0(c,s);
phi+=cG[ig]*pw0;
d2phi+=cG[ig]*pw0*(-dot(gvecs_cart[ig],gvecs_cart[ig]));
}
}
double evaluate_KE(const Vector<std::complex<double> >& cG)
{
assert(cG.size()==NumGvecs);
double KE=0;
for(size_t ig=0; ig<NumGvecs; ig++)
KE+=dot(gvecs_cart[ig],gvecs_cart[ig])*(cG[ig].real()*cG[ig].real()+cG[ig].imag()*cG[ig].imag());
return KE/2.0;
}
};
/** General SplineHybridAdoptorReader to handle any unitcell
*/
template<typename SA>
struct SplineHybridAdoptorReader: public SplineAdoptorReader<SA>
{
typedef SplineAdoptorReader<SA> BaseReader;
using typename BaseReader::DataType;
using BaseReader::bspline;
using BaseReader::mybuilder;
using BaseReader::rotate_phase_r;
using BaseReader::rotate_phase_i;
SplineHybridAdoptorReader(EinsplineSetBuilder* e)
: BaseReader(e)
{}
/** initialize basic parameters of atomic orbitals */
void initialize_hybridrep_atomic_centers() override
{
bspline->set_info(*(mybuilder->SourcePtcl), mybuilder->TargetPtcl, mybuilder->Super2Prim);
auto& centers=bspline->AtomicCenters;
auto& ACInfo=mybuilder->AtomicCentersInfo;
// load atomic center info only when it is not initialized
if(centers.size()==0)
{
bool success=true;
app_log() << "Reading atomic center info for hybrid representation" << std::endl;
for(int center_idx=0; center_idx<ACInfo.Ncenters; center_idx++)
{
const int my_GroupID = ACInfo.GroupID[center_idx];
if(ACInfo.cutoff[center_idx]<0)
{
app_error() << "Hybrid orbital representation needs parameter 'cutoff_radius' for atom " << center_idx << std::endl;
success=false;
}
if(ACInfo.inner_cutoff[center_idx]<0)
{
const double inner_cutoff = std::max(ACInfo.cutoff[center_idx]-0.3, 0.0);
app_log() << "Hybrid orbital representation setting 'inner_cutoff' to "
<< inner_cutoff << " for group " << my_GroupID << " as atom " << center_idx << std::endl;
// overwrite the inner_cutoff of all the atoms of the same species
for(int id=0; id<ACInfo.Ncenters; id++)
if(my_GroupID==ACInfo.GroupID[id])
ACInfo.inner_cutoff[id] = inner_cutoff;
}
else if(ACInfo.inner_cutoff[center_idx]>ACInfo.cutoff[center_idx])
{
app_error() << "Hybrid orbital representation 'inner_cutoff' must be smaller than 'spline_radius' for atom " << center_idx << std::endl;
success=false;
}
if(ACInfo.cutoff[center_idx]>0)
{
if(ACInfo.lmax[center_idx]<0)
{
app_error() << "Hybrid orbital representation needs parameter 'lmax' for atom " << center_idx << std::endl;
success=false;
}
if(ACInfo.spline_radius[center_idx]<0 && ACInfo.spline_npoints[center_idx]<0)
{
app_log() << "Parameters 'spline_radius' and 'spline_npoints' for group " << my_GroupID
<< " as atom " << center_idx << " are not specified." << std::endl;
const double delta = std::min(0.02, ACInfo.cutoff[center_idx]/4.0);
const int n_grid_point = std::ceil((ACInfo.cutoff[center_idx] + 1e-4) / delta) + 3;
for(int id=0; id<ACInfo.Ncenters; id++)
if(my_GroupID==ACInfo.GroupID[id])
{
ACInfo.spline_npoints[id] = n_grid_point;
ACInfo.spline_radius[id] = (n_grid_point-1) * delta;
}
app_log() << " Based on default grid point distance " << delta << std::endl;
app_log() << " Setting 'spline_npoints' to " << ACInfo.spline_npoints[center_idx] << std::endl;
app_log() << " Setting 'spline_radius' to " << ACInfo.spline_radius[center_idx] << std::endl;
}
else
{
if(ACInfo.spline_radius[center_idx]<0)
{
app_error() << "Hybrid orbital representation needs parameter 'spline_radius' for atom " << center_idx << std::endl;
success=false;
}
if(ACInfo.spline_npoints[center_idx]<0)
{
app_error() << "Hybrid orbital representation needs parameter 'spline_npoints' for atom " << center_idx << std::endl;
success=false;
}
}
// check maximally allowed cutoff_radius
double max_allowed_cutoff=ACInfo.spline_radius[center_idx]-2.0*ACInfo.spline_radius[center_idx]/(ACInfo.spline_npoints[center_idx]-1);
if(success && ACInfo.cutoff[center_idx]>max_allowed_cutoff)
{
app_error() << "Hybrid orbital representation requires cutoff_radius<=" << max_allowed_cutoff
<< " calculated by spline_radius-2*spline_radius/(spline_npoints-1) for atom " << center_idx << std::endl;
success=false;
}
}
else
{
// no atomic regions for this atom type
ACInfo.spline_radius[center_idx] = 0.0;
ACInfo.spline_npoints[center_idx] = 0;
ACInfo.lmax[center_idx] = 0;
}
}
if(!success) abort();
for(int center_idx=0; center_idx<ACInfo.Ncenters; center_idx++)
{
AtomicOrbitalSoA<DataType> oneCenter(ACInfo.lmax[center_idx]);
oneCenter.set_info(ACInfo.ion_pos[center_idx], ACInfo.cutoff[center_idx],
ACInfo.inner_cutoff[center_idx], ACInfo.spline_radius[center_idx],
ACInfo.non_overlapping_radius[center_idx], ACInfo.spline_npoints[center_idx]);
centers.push_back(oneCenter);
}
}
}
/** initialize construct atomic orbital radial functions from plane waves */
inline void create_atomic_centers_Gspace(Vector<std::complex<double> >& cG, Communicate& band_group_comm, int iorb) override
{
band_group_comm.bcast(rotate_phase_r);
band_group_comm.bcast(rotate_phase_i);
band_group_comm.bcast(cG);
//distribute G-vectors over processor groups
const int Ngvecs=mybuilder->Gvecs[0].size();
const int Nprocs=band_group_comm.size();
const int Ngvecgroups=std::min(Ngvecs,Nprocs);
Communicate gvec_group_comm(band_group_comm, Ngvecgroups);
std::vector<int> gvec_groups(Ngvecgroups+1,0);
FairDivideLow(Ngvecs,Ngvecgroups,gvec_groups);
const int gvec_first=gvec_groups[gvec_group_comm.getGroupID()];
const int gvec_last=gvec_groups[gvec_group_comm.getGroupID()+1];
// prepare Gvecs Ylm(G)
typedef typename EinsplineSetBuilder::UnitCellType UnitCellType;
Gvectors<double, UnitCellType> Gvecs(mybuilder->Gvecs[0], mybuilder->PrimCell, bspline->HalfG,
gvec_first, gvec_last);
// if(band_group_comm.isGroupLeader()) std::cout << "print band=" << iorb << " KE=" << Gvecs.evaluate_KE(cG) << std::endl;
std::vector<AtomicOrbitalSoA<DataType> >& centers=bspline->AtomicCenters;
app_log() << "Transforming band " << iorb << " on Rank 0" << std::endl;
// collect atomic centers by group
std::vector<int> uniq_species;
for(int center_idx=0; center_idx<centers.size(); center_idx++)
{
auto& ACInfo = mybuilder->AtomicCentersInfo;
const int my_GroupID = ACInfo.GroupID[center_idx];
int found_idx = -1;
for(size_t idx=0; idx<uniq_species.size(); idx++)
if(my_GroupID==uniq_species[idx])
{
found_idx = idx; break;
}
if(found_idx<0) uniq_species.push_back(my_GroupID);
}
// construct group list
std::vector<std::vector<int> > group_list(uniq_species.size());
for(int center_idx=0; center_idx<centers.size(); center_idx++)
{
auto& ACInfo = mybuilder->AtomicCentersInfo;
const int my_GroupID = ACInfo.GroupID[center_idx];
for(size_t idx=0; idx<uniq_species.size(); idx++)
if(my_GroupID==uniq_species[idx])
{
group_list[idx].push_back(center_idx);
break;
}
}
for(int group_idx=0; group_idx<group_list.size(); group_idx++)
{
const auto &mygroup = group_list[group_idx];
const double spline_radius = centers[mygroup[0]].spline_radius;
const int spline_npoints = centers[mygroup[0]].spline_npoints;
const int lmax = centers[mygroup[0]].lmax;
const double delta = spline_radius/static_cast<double>(spline_npoints-1);
const int lm_tot=(lmax+1)*(lmax+1);
const size_t natoms = mygroup.size();
const int policy = lm_tot>natoms?0:1;
std::vector<std::complex<double> > i_power(lm_tot);
// rotate phase is introduced here.
std::complex<double> i_temp(rotate_phase_r, rotate_phase_i);
for(size_t l=0; l<=lmax; l++)
{
for(size_t lm=l*l; lm<(l+1)*(l+1); lm++)
i_power[lm]=i_temp;
i_temp*=std::complex<double>(0.0,1.0);
}
std::vector<Matrix<double> > all_vals(natoms);
std::vector<std::vector<aligned_vector<double> > > vals_local(spline_npoints*omp_get_max_threads());
VectorSoaContainer<double,3> myRSoA(natoms);
for(size_t idx=0; idx<natoms; idx++)
{
all_vals[idx].resize(spline_npoints, lm_tot*2);
all_vals[idx]=0.0;
myRSoA(idx)=centers[mygroup[idx]].pos;
}
#pragma omp parallel
{
const size_t tid = omp_get_thread_num();
const size_t nt = omp_get_num_threads();
for(int ip=0; ip<spline_npoints; ip++)
{
const size_t ip_idx=tid*spline_npoints+ip;
if(policy==1)
{
vals_local[ip_idx].resize(lm_tot*2);
for(size_t lm=0; lm<lm_tot*2; lm++)
{
auto &vals = vals_local[ip_idx][lm];
vals.resize(natoms);
std::fill(vals.begin(),vals.end(),0.0);
}
}
else
{
vals_local[ip_idx].resize(natoms*2);
for(size_t iat=0; iat<natoms*2; iat++)
{
auto &vals = vals_local[ip_idx][iat];
vals.resize(lm_tot);
std::fill(vals.begin(),vals.end(),0.0);
}
}
}
const size_t size_pw_tile = 32;
const size_t num_pw_tiles = (Gvecs.NumGvecs+size_pw_tile-1)/size_pw_tile;
aligned_vector<double> j_lm_G(lm_tot,0.0);
std::vector<aligned_vector<double> > phase_shift_r(size_pw_tile);
std::vector<aligned_vector<double> > phase_shift_i(size_pw_tile);
std::vector<aligned_vector<double> > YlmG(size_pw_tile);
for(size_t ig=0; ig<size_pw_tile; ig++)
{
phase_shift_r[ig].resize(natoms);
phase_shift_i[ig].resize(natoms);
YlmG[ig].resize(lm_tot);
}
SoaSphericalTensor<double> Ylm(lmax);
#pragma omp for
for(size_t tile_id=0; tile_id<num_pw_tiles; tile_id++)
{
const size_t ig_first = tile_id*size_pw_tile;
const size_t ig_last = std::min((tile_id+1)*size_pw_tile,Gvecs.NumGvecs);
for(size_t ig=ig_first; ig<ig_last; ig++)
{
const size_t ig_local=ig-ig_first;
// calculate phase shift for all the centers of this group
Gvecs.calc_phase_shift(myRSoA, ig, phase_shift_r[ig_local], phase_shift_i[ig_local]);
Gvecs.calc_Ylm_G(ig, Ylm, YlmG[ig_local]);
}
for(int ip=0; ip<spline_npoints; ip++)
{
double r=delta*static_cast<double>(ip);
const size_t ip_idx=tid*spline_npoints+ip;
for(size_t ig=ig_first; ig<ig_last; ig++)
{
const size_t ig_local=ig-ig_first;
// calculate spherical bessel function
Gvecs.calc_jlm_G(lmax, r, ig, j_lm_G);
for(size_t lm=0; lm<lm_tot; lm++)
j_lm_G[lm]*=YlmG[ig_local][lm];
const double cG_r=cG[ig+gvec_first].real();
const double cG_i=cG[ig+gvec_first].imag();
if(policy==1)
{
for(size_t lm=0; lm<lm_tot; lm++)
{
double* restrict vals_r = vals_local[ip_idx][lm*2].data();
double* restrict vals_i = vals_local[ip_idx][lm*2+1].data();
const double* restrict ps_r_ptr = phase_shift_r[ig_local].data();
const double* restrict ps_i_ptr = phase_shift_i[ig_local].data();
double cG_j_r=cG_r*j_lm_G[lm];
double cG_j_i=cG_i*j_lm_G[lm];
#pragma omp simd aligned(vals_r,vals_i,ps_r_ptr,ps_i_ptr)
for(size_t idx=0; idx<natoms; idx++)
{
const double ps_r=ps_r_ptr[idx];
const double ps_i=ps_i_ptr[idx];
vals_r[idx]+=cG_j_r*ps_r-cG_j_i*ps_i;
vals_i[idx]+=cG_j_i*ps_r+cG_j_r*ps_i;
}
}
}
else
{
for(size_t idx=0; idx<natoms; idx++)
{
double* restrict vals_r = vals_local[ip_idx][idx*2].data();
double* restrict vals_i = vals_local[ip_idx][idx*2+1].data();
const double* restrict j_lm_G_ptr = j_lm_G.data();
double cG_ps_r=cG_r*phase_shift_r[ig_local][idx]-cG_i*phase_shift_i[ig_local][idx];
double cG_ps_i=cG_i*phase_shift_r[ig_local][idx]+cG_r*phase_shift_i[ig_local][idx];
#pragma omp simd aligned(vals_r,vals_i,j_lm_G_ptr)
for(size_t lm=0; lm<lm_tot; lm++)
{
const double jlm=j_lm_G_ptr[lm];
vals_r[lm]+=cG_ps_r*jlm;
vals_i[lm]+=cG_ps_i*jlm;
}
}
}
}
}
}
#pragma omp for collapse(2)
for(int ip=0; ip<spline_npoints; ip++)
for(size_t idx=0; idx<natoms; idx++)
{
double *vals = all_vals[idx][ip];
for(size_t tid=0; tid<nt; tid++)
for(size_t lm=0; lm<lm_tot; lm++)
{
double vals_th_r, vals_th_i;
const size_t ip_idx=tid*spline_npoints+ip;
if(policy==1)
{
vals_th_r = vals_local[ip_idx][lm*2][idx];
vals_th_i = vals_local[ip_idx][lm*2+1][idx];
}
else
{
vals_th_r = vals_local[ip_idx][idx*2][lm];
vals_th_i = vals_local[ip_idx][idx*2+1][lm];
}
const double real_tmp = 4.0*M_PI*i_power[lm].real();
const double imag_tmp = 4.0*M_PI*i_power[lm].imag();
vals[lm] += vals_th_r*real_tmp - vals_th_i*imag_tmp;
vals[lm+lm_tot] += vals_th_i*real_tmp + vals_th_r*imag_tmp;
}
}
}
//app_log() << "Building band " << iorb << " at center " << center_idx << std::endl;
for(size_t idx=0; idx<natoms; idx++)
{
// reduce all_vals
band_group_comm.reduce_in_place(all_vals[idx].data(),all_vals[idx].size());
if(!band_group_comm.isGroupLeader()) continue;
#pragma omp parallel for
for(int lm=0; lm<lm_tot; lm++)
{
auto &mycenter = centers[mygroup[idx]];
aligned_vector<double> splineData_r(spline_npoints);
UBspline_1d_d* atomic_spline_r;
for(size_t ip=0; ip<spline_npoints; ip++)
splineData_r[ip]=all_vals[idx][ip][lm];
atomic_spline_r=einspline::create(atomic_spline_r, 0.0, spline_radius, spline_npoints, splineData_r.data(), ((lm==0)||(lm>3)));
if(!bspline->is_complex)
{
mycenter.set_spline(atomic_spline_r,lm,iorb);
einspline::destroy(atomic_spline_r);
}
else
{
aligned_vector<double> splineData_i(spline_npoints);
UBspline_1d_d* atomic_spline_i;
for(size_t ip=0; ip<spline_npoints; ip++)
splineData_i[ip]=all_vals[idx][ip][lm+lm_tot];
atomic_spline_i=einspline::create(atomic_spline_i, 0.0, spline_radius, spline_npoints, splineData_i.data(), ((lm==0)||(lm>3)));
mycenter.set_spline(atomic_spline_r,lm,iorb*2);
mycenter.set_spline(atomic_spline_i,lm,iorb*2+1);
einspline::destroy(atomic_spline_r);
einspline::destroy(atomic_spline_i);
}
}
}
#ifdef PRINT_RADIAL
char fname[64];
sprintf(fname, "band_%d_center_%d_pw.dat", iorb, center_idx);
FILE *fout_pw = fopen (fname, "w");
sprintf(fname, "band_%d_center_%d_spline_v.dat", iorb, center_idx);
FILE *fout_spline_v = fopen (fname, "w");
sprintf(fname, "band_%d_center_%d_spline_g.dat", iorb, center_idx);
FILE *fout_spline_g = fopen (fname, "w");
sprintf(fname, "band_%d_center_%d_spline_l.dat", iorb, center_idx);
FILE *fout_spline_l = fopen (fname, "w");
fprintf(fout_pw, "# r vals(lm)\n");
fprintf(fout_spline_v, "# r vals(lm)\n");
fprintf(fout_spline_g, "# r grads(lm)\n");
fprintf(fout_spline_l, "# r lapls(lm)\n");
// write to file for plotting
for(int ip=0; ip<spline_npoints-1; ip++)
{
double r=delta*static_cast<double>(ip);
mycenter.SplineInst->evaluate_vgl(r,mycenter.localV,mycenter.localG,mycenter.localL);
fprintf(fout_pw, "%15.10lf ", r);
fprintf(fout_spline_v, "%15.10lf ", r);
fprintf(fout_spline_g, "%15.10lf ", r);
fprintf(fout_spline_l, "%15.10lf ", r);
for(int lm=0; lm<lm_tot; lm++)
{
fprintf(fout_pw, "%15.10lf %15.10lf ", all_vals[center_idx][ip][lm].real(), all_vals[center_idx][ip][lm].imag());
fprintf(fout_spline_v, "%15.10lf %15.10lf ", mycenter.localV[lm*mycenter.Npad+iorb*2], mycenter.localV[lm*mycenter.Npad+iorb*2+1]);
fprintf(fout_spline_g, "%15.10lf %15.10lf ", mycenter.localG[lm*mycenter.Npad+iorb*2], mycenter.localG[lm*mycenter.Npad+iorb*2+1]);
fprintf(fout_spline_l, "%15.10lf %15.10lf ", mycenter.localL[lm*mycenter.Npad+iorb*2], mycenter.localL[lm*mycenter.Npad+iorb*2+1]);
}
fprintf(fout_pw, "\n");
fprintf(fout_spline_v, "\n");
fprintf(fout_spline_g, "\n");
fprintf(fout_spline_l, "\n");
}
fclose(fout_pw);
fclose(fout_spline_v);
fclose(fout_spline_g);
fclose(fout_spline_l);
#endif
}
}
};
}
#endif
|
update_ops_matrix_diagonal_multi.c |
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include "constant.h"
#include "update_ops.h"
#include "utility.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#ifdef _MSC_VER
#include <intrin.h>
#else
#include <x86intrin.h>
#endif
void multi_qubit_diagonal_matrix_gate(const UINT* target_qubit_index_list, UINT target_qubit_index_count, const CTYPE* diagonal_element, CTYPE* state, ITYPE dim) {
// matrix dim, mask, buffer
const ITYPE matrix_dim = 1ULL << target_qubit_index_count;
const ITYPE* matrix_mask_list = create_matrix_mask_list(target_qubit_index_list, target_qubit_index_count);
// insert index
const UINT* sorted_insert_index_list = create_sorted_ui_list(target_qubit_index_list, target_qubit_index_count);
// loop variables
const ITYPE loop_dim = dim >> target_qubit_index_count;
ITYPE state_index;
#ifdef _OPENMP
UINT threshold = 14;
if (dim < (((ITYPE)1) << threshold)) omp_set_num_threads(1);
#pragma omp parallel for
#endif
for (state_index = 0; state_index < loop_dim; ++state_index) {
// create base index
ITYPE basis_0 = state_index;
for (UINT cursor = 0; cursor < target_qubit_index_count; cursor++) {
UINT insert_index = sorted_insert_index_list[cursor];
basis_0 = insert_zero_to_basis_index(basis_0, 1ULL << insert_index, insert_index);
}
// compute matrix-vector multiply
for (ITYPE y = 0; y < matrix_dim; ++y) {
state[basis_0 ^ matrix_mask_list[y]] *= diagonal_element[y];
}
}
#ifdef _OPENMP
omp_set_num_threads(omp_get_max_threads());
#endif
free((UINT*)sorted_insert_index_list);
free((ITYPE*)matrix_mask_list);
}
void multi_qubit_control_multi_qubit_diagonal_matrix_gate(const UINT* control_qubit_index_list, const UINT* control_value_list, UINT control_qubit_index_count,
const UINT* target_qubit_index_list, UINT target_qubit_index_count, const CTYPE* diagonal_element, CTYPE* state, ITYPE dim) {
// matrix dim, mask, buffer
const ITYPE matrix_dim = 1ULL << target_qubit_index_count;
ITYPE* matrix_mask_list = create_matrix_mask_list(target_qubit_index_list, target_qubit_index_count);
// insert index
const UINT insert_index_count = target_qubit_index_count + control_qubit_index_count;
UINT* sorted_insert_index_list = create_sorted_ui_list_list(target_qubit_index_list, target_qubit_index_count, control_qubit_index_list, control_qubit_index_count);
// control mask
ITYPE control_mask = create_control_mask(control_qubit_index_list, control_value_list, control_qubit_index_count);
// loop varaibles
const ITYPE loop_dim = dim >> (target_qubit_index_count + control_qubit_index_count);
ITYPE state_index;
#ifdef _OPENMP
UINT threshold = 14;
if (dim < (((ITYPE)1) << threshold)) omp_set_num_threads(1);
#pragma omp parallel for
#endif
for (state_index = 0; state_index < loop_dim; ++state_index) {
// create base index
ITYPE basis_0 = state_index;
for (UINT cursor = 0; cursor < insert_index_count; cursor++) {
UINT insert_index = sorted_insert_index_list[cursor];
basis_0 = insert_zero_to_basis_index(basis_0, 1ULL << insert_index, insert_index);
}
// flip control masks
basis_0 ^= control_mask;
// compute matrix mul
for (ITYPE y = 0; y < matrix_dim; ++y) {
state[basis_0 ^ matrix_mask_list[y]] *= diagonal_element[y];
}
}
#ifdef _OPENMP
omp_set_num_threads(omp_get_max_threads());
#endif
free(sorted_insert_index_list);
free(matrix_mask_list);
}
|
fox_floats_timer_caching_omp_fileIO_benchmark.c | /* fox_floats_timer_caching_omp_fileIO_benchmark.c -- uses Fox's algorithm to multiply two square matrices
*
* Implementation of parallel matrix multiplication:
* LaTeX: $C_{i,j} = \sum_{k} A_{i,k}B_{k,j}$
*
* Input:
* Input Matrix file name: A.dat, B.dat
*
* Output:
* Output Matrix file name: C.dat
* Output Sub-matrices file name: SubMatrices.dat
*
* Notes:
* 1. Assumes the number of processes is a perfect square
* 2. The array member of the matrices is statically allocated
*
* See Chap 7, pp. 113 & ff and pp. 125 & ff in PPMPI
*/
/* Compiler command:
* mpiicc -O3 -qopenmp -qopt-report-phase=vec -qopt-report=3 fox_floats_timer_caching_omp_fileIO_benchmark.c
* -o fox_floats_timer_caching_omp_fileIO_benchmark
*
* Run command:
* mpirun -n -4 ./fox_floats_timer_caching_omp
*/
/* Head files */
#include <stdio.h>
#include <math.h>
#include <stdlib.h>
#include <mpi.h>
#include <omp.h>
// define problem scale, matrix row/col size
#define PROBLEM_SCALE 256
// define whether or not Print Matices in the Command Line
#define PRINT_A 0
#define PRINT_B 0
#define PRINT_C 0
#define PRINT_LOCAL_A 0
#define PRINT_LOCAL_B 0
#define PRINT_LOCAL_C 0
// define float precision, 4 byte single-precision float or 8 byte double-precision float
#define FLOAT double
#define FLOAT_MPI MPI_DOUBLE
// Define threads speed-up affnity in the computing
#define NUM_THREADS 2
// Define threads affinity "scatter" or "compact"
#define AFFINITY "KMP_AFFINITY = compact"
/* Type define structure of process grid */
typedef struct {
int p; /* Total number of processes */
MPI_Comm comm; /* Communicator for entire grid */
MPI_Comm row_comm; /* Communicator for my row */
MPI_Comm col_comm; /* Communicator for my col */
int q; /* Order of grid */
int my_row; /* My row number */
int my_col; /* My column number */
int my_rank; /* My rank in the grid comm */
} GRID_INFO_T;
/* Type define structure of local matrix */
#define MAX 2097152 // Maximum number of elements in the array that store the local matrix (2^21)
typedef struct {
int n_bar;
#define Order(A) ((A)->n_bar) // defination with parameters
FLOAT entries[MAX];
#define Entry(A,i,j) (*(((A)->entries) + ((A)->n_bar)*(i) + (j))) // defination with parameters, Array dereference
} LOCAL_MATRIX_T;
/* Function Declarations */
LOCAL_MATRIX_T* Local_matrix_allocate(int n_bar);
void Free_local_matrix(LOCAL_MATRIX_T** local_A);
void Read_matrix_A(char* prompt, LOCAL_MATRIX_T* local_A,
GRID_INFO_T* grid, int n); // Read matrix A from a file
void Read_matrix_B(char* prompt, LOCAL_MATRIX_T* local_B, // for continuous memory access, local A(i,k)*B(k,j) = A(i,k)*B^{T}(j,k)
GRID_INFO_T* grid, int n); // Read matrix B from a file
void Print_matrix_A(char* title, LOCAL_MATRIX_T* local_A,
GRID_INFO_T* grid, int n); // Print matrix A in the command line
void Print_matrix_B(char* title, LOCAL_MATRIX_T* local_B, // Speical print function for local matrix B^{T}(j,k)
GRID_INFO_T* grid, int n); // Print matrix B in the command line
void Print_matrix_C(char* title, LOCAL_MATRIX_T* local_C,
GRID_INFO_T* grid, int n); // Print matrix C in the command line
void Set_to_zero(LOCAL_MATRIX_T* local_A);
void Local_matrix_multiply(LOCAL_MATRIX_T* local_A,
LOCAL_MATRIX_T* local_B, LOCAL_MATRIX_T* local_C);
void Build_matrix_type(LOCAL_MATRIX_T* local_A);
MPI_Datatype local_matrix_mpi_t;
LOCAL_MATRIX_T* temp_mat; // global LOCAL_MATRIX_T* type pointer
void Print_local_matrices_A(char* title, LOCAL_MATRIX_T* local_A,
GRID_INFO_T* grid);
void Print_local_matrices_B(char* title, LOCAL_MATRIX_T* local_B, // Speical print function for local matrix B^{T}(j,k)
GRID_INFO_T* grid);
void Print_local_matrices_C(char* title, LOCAL_MATRIX_T* local_B,
GRID_INFO_T* grid);
void Write_matrix_C(char* title, LOCAL_MATRIX_T* local_C,
GRID_INFO_T* grid, int n); // Write matrix multiplication to a file
void Write_local_matrices_A(char* title, LOCAL_MATRIX_T* local_A,
GRID_INFO_T* grid); // Write local matrix A to a file
void Write_local_matrices_B(char* title, LOCAL_MATRIX_T* local_B, // Speical print function for local matrix B^{T}(j,k)
GRID_INFO_T* grid); // Write local matrix B to a file
void Write_local_matrices_C(char* title, LOCAL_MATRIX_T* local_A,
GRID_INFO_T* grid); // Write local matrix C to a file
/*********************************************************/
main(int argc, char* argv[]) {
FILE *fp;
int p;
int my_rank;
GRID_INFO_T grid;
LOCAL_MATRIX_T* local_A;
LOCAL_MATRIX_T* local_B;
LOCAL_MATRIX_T* local_C;
int n;
int n_bar;
double timer_start;
double timer_end;
int content;
int i;
int j;
void Setup_grid(GRID_INFO_T* grid);
void Fox(int n, GRID_INFO_T* grid, LOCAL_MATRIX_T* local_A,
LOCAL_MATRIX_T* local_B, LOCAL_MATRIX_T* local_C);
// Matrix Generator
fp = fopen("A.dat", "w"); // Generate and print matrix A into a file
for (i = 0; i < PROBLEM_SCALE; i++) {
for (j = 0; j < PROBLEM_SCALE; j++)
if(i == j){
fprintf(fp,"%d ", 1);
}
else {
fprintf(fp,"%d ", 0);
}
fprintf(fp,"\n");
}
fclose(fp);
fp = fopen("B.dat", "w"); // Generate and print matrix B into a file
for (i = 0; i < PROBLEM_SCALE; i++){
for (j = 0; j < PROBLEM_SCALE; j++)
fprintf(fp,"%d ", (i*PROBLEM_SCALE)+j);
fprintf(fp, "\n");
}
fclose(fp);
// SPMD Mode start from here (Processess fork from here)
MPI_Init(&argc, &argv); // MPI initializing
MPI_Comm_rank(MPI_COMM_WORLD, &my_rank); // Get my process id in the MPI communicator
// Initial OpenMP Environment
omp_set_num_threads(NUM_THREADS);
kmp_set_defaults(AFFINITY);
Setup_grid(&grid); // Set up Processess grid
if (my_rank == 0) {
fp = fopen("A.dat","r");
n = 0;
while((content = fgetc(fp)) != EOF)
{
//printf("fgetc = %d\n", content);
if(content != 0x20 && content != 0x0A) n++;
}
fclose(fp);
n = (int) sqrt((double) n);
printf("We read the order of the matrices from A.dat is\n %d\n", n);
// while(fgetc(fp) != EOF) n++;
// printf("What's the order of the matrices?\n");
// scanf("%d", &n); // Overall Matrix's Order
}
MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD); // MPI broadcast the overall matrix's order
n_bar = n/grid.q; // \bar n is the local matrix's order
local_A = Local_matrix_allocate(n_bar); // Allocate local matrix A
Order(local_A) = n_bar; // Local matrix A's order
Read_matrix_A("Read A from A.dat", local_A, &grid, n); // Read local matrices A from process 0 by using stdin, and send them to each process (Procedure)
if (PRINT_A == 1)
Print_matrix_A("We read A =", local_A, &grid, n);// Print local matrices A from process 0 by using stdout, and send them to each process (Procedure)
local_B = Local_matrix_allocate(n_bar); // Allocate local matrix
Order(local_B) = n_bar; // Local matrix B's order
Read_matrix_B("Read B from B.dat", local_B, &grid, n); // Read local matrix B as it's local transpose from process 0 by using stdin, and send them to each process (Procedure)
if (PRINT_B == 1)
Print_matrix_B("We read B =", local_B, &grid, n);// Print local matrix B as it's local transpose from process 0 by using stdout, and send them to each process (Procedure)
Build_matrix_type(local_A); // Buid local_A's MPI matrix data type
temp_mat = Local_matrix_allocate(n_bar); // Allocate temporary matrix of order n $\time$ n
local_C = Local_matrix_allocate(n_bar); // Allocate matrix local_C
Order(local_C) = n_bar; // Set matrix local_C's order
MPI_Barrier(MPI_COMM_WORLD); // Set the MPI process barrier
timer_start = MPI_Wtime(); // Get the MPI wall time
Fox(n, &grid, local_A, local_B, local_C); // FOX parallel matrix multiplication Algorithm implement function
timer_end = MPI_Wtime(); // Get the MPI wall time
MPI_Barrier(MPI_COMM_WORLD); // Set the MPI process barrier
Write_matrix_C("Write C into the C.dat", local_C, &grid, n); // Print matrix local_C (parallel matrix multiplication result)
if (PRINT_C == 1)
Print_matrix_C("The product is", local_C, &grid, n); // Print matrix local_C (parallel matrix multiplication result)
Write_local_matrices_A("Write split of local matrix A into local_A.dat",
local_A, &grid); // Write local matrix A into file
if (PRINT_LOCAL_A == 1)
Print_local_matrices_A("Split of local matrix A",
local_A, &grid); // Print matrix A split in processess
Write_local_matrices_B("Write split of local matrix B into local_B.dat",
local_B, &grid); // Write local matrix B into file, special for row-major storage
if (PRINT_LOCAL_B == 1)
Print_local_matrices_B("Split of local matrix B",
local_B, &grid); // Print matrix B split in processess, special for row-major storage
Write_local_matrices_C("Write split of local matrix C into local_C.dat",
local_C, &grid); // Print matrix C split in processess
if (PRINT_LOCAL_C == 1)
Print_local_matrices_C("Split of local matrix C",
local_C, &grid); // Print matrix C split in processess
Free_local_matrix(&local_A); // Free local matrix local_A
Free_local_matrix(&local_B); // Free local matrix local_B
Free_local_matrix(&local_C); // Free local matrix local_C
if(my_rank == 0)
printf("Parallel Fox Matrix Multiplication Elapsed time:\n %30.20E seconds\n", timer_end-timer_start);
MPI_Finalize(); // MPI finalize, processes join and resource recycle
} /* main */
/*********************************************************/
void Setup_grid(
GRID_INFO_T* grid /* out */) {
int old_rank;
int dimensions[2];
int wrap_around[2];
int coordinates[2];
int free_coords[2];
/* Set up Global Grid Information */
MPI_Comm_size(MPI_COMM_WORLD, &(grid->p));
MPI_Comm_rank(MPI_COMM_WORLD, &old_rank);
/* We assume p is a perfect square */ // but what if it's not a perfect square
grid->q = (int) sqrt((double) grid->p);
dimensions[0] = dimensions[1] = grid->q;
/* We want a circular shift in second dimension. */
/* Don't care about first */
wrap_around[0] = wrap_around[1] = 1;
MPI_Cart_create(MPI_COMM_WORLD, 2, dimensions,
wrap_around, 1, &(grid->comm));
MPI_Comm_rank(grid->comm, &(grid->my_rank));
MPI_Cart_coords(grid->comm, grid->my_rank, 2,
coordinates);
grid->my_row = coordinates[0];
grid->my_col = coordinates[1];
/* Set up row communicators */
free_coords[0] = 0;
free_coords[1] = 1;
MPI_Cart_sub(grid->comm, free_coords,
&(grid->row_comm));
/* Set up column communicators */
free_coords[0] = 1;
free_coords[1] = 0;
MPI_Cart_sub(grid->comm, free_coords,
&(grid->col_comm));
} /* Setup_grid */
/*********************************************************/
void Fox(
int n /* in */,
GRID_INFO_T* grid /* in */,
LOCAL_MATRIX_T* local_A /* in */,
LOCAL_MATRIX_T* local_B /* in */,
LOCAL_MATRIX_T* local_C /* out */) {
LOCAL_MATRIX_T* temp_A; /* Storage for the sub- */
/* matrix of A used during */
/* the current stage */
int stage;
int bcast_root;
int n_bar; /* n/sqrt(p) */
int source;
int dest;
MPI_Status status;
n_bar = n/grid->q;
Set_to_zero(local_C);
/* Calculate addresses for row circular shift of B */
source = (grid->my_row + 1) % grid->q;
dest = (grid->my_row + grid->q - 1) % grid->q;
/* Set aside storage for the broadcast block of A */
temp_A = Local_matrix_allocate(n_bar);
for (stage = 0; stage < grid->q; stage++) {
bcast_root = (grid->my_row + stage) % grid->q;
if (bcast_root == grid->my_col) { // Process P_{ii} broadcast A_{ii} in process gird's row commnunicator
MPI_Bcast(local_A, 1, local_matrix_mpi_t,
bcast_root, grid->row_comm);
Local_matrix_multiply(local_A, local_B,
local_C);
} else { // temp_A is a buffer for process P_{ij} to store A_{ij}
MPI_Bcast(temp_A, 1, local_matrix_mpi_t,
bcast_root, grid->row_comm);
Local_matrix_multiply(temp_A, local_B,
local_C);
}
MPI_Sendrecv_replace(local_B, 1, local_matrix_mpi_t, // MPI send and receive with single buffer
dest, 0, source, 0, grid->col_comm, &status); // Circular shift of process grid B's row, after local multiplication operation
} /* for */
} /* Fox */
/*********************************************************/
LOCAL_MATRIX_T* Local_matrix_allocate(int local_order) {
LOCAL_MATRIX_T* temp;
temp = (LOCAL_MATRIX_T*) malloc(sizeof(LOCAL_MATRIX_T));
return temp;
} /* Local_matrix_allocate */
/*********************************************************/
void Free_local_matrix(
LOCAL_MATRIX_T** local_A_ptr /* in/out */) {
free(*local_A_ptr);
} /* Free_local_matrix */
/*********************************************************/
/* Read and distribute matrix for matrix A:
* foreach global row of the matrix,
* foreach grid column
* read a block of n_bar floats on process 0
* and send them to the appropriate process.
*/
void Read_matrix_A(
char* prompt /* in */,
LOCAL_MATRIX_T* local_A /* out */,
GRID_INFO_T* grid /* in */,
int n /* in */) {
FILE *fp;
int mat_row, mat_col;
int grid_row, grid_col;
int dest;
int coords[2];
FLOAT* temp;
MPI_Status status;
if (grid->my_rank == 0) { // Process 0 read matrix input from stdin and send them to other processess
fp = fopen("A.dat","r");
temp = (FLOAT*) malloc(Order(local_A)*sizeof(FLOAT));
printf("%s\n", prompt);
fflush(stdout);
for (mat_row = 0; mat_row < n; mat_row++) {
grid_row = mat_row/Order(local_A);
coords[0] = grid_row;
for (grid_col = 0; grid_col < grid->q; grid_col++) {
coords[1] = grid_col;
MPI_Cart_rank(grid->comm, coords, &dest);
if (dest == 0) {
for (mat_col = 0; mat_col < Order(local_A); mat_col++)
fscanf(fp, "%lf",
(local_A->entries)+mat_row*Order(local_A)+mat_col);
/* scanf("%lf",
(local_A->entries)+mat_row*Order(local_A)+mat_col);
*/
} else {
for(mat_col = 0; mat_col < Order(local_A); mat_col++)
fscanf(fp,"%lf", temp + mat_col);
// scanf("%lf", temp + mat_col);
MPI_Send(temp, Order(local_A), FLOAT_MPI, dest, 0,
grid->comm);
}
}
}
free(temp);
fclose(fp);
} else { // Other processess receive matrix from process 0
for (mat_row = 0; mat_row < Order(local_A); mat_row++)
MPI_Recv(&Entry(local_A, mat_row, 0), Order(local_A),
FLOAT_MPI, 0, 0, grid->comm, &status);
}
} /* Read_matrix */
/*********************************************************/
/* Read and distribute matrix for local matrix B's transpose:
* foreach global row of the matrix,
* foreach grid column
* read a block of n_bar floats on process 0
* and send them to the appropriate process.
*/
void Read_matrix_B(
char* prompt /* in */,
LOCAL_MATRIX_T* local_B /* out */,
GRID_INFO_T* grid /* in */,
int n /* in */) {
FILE *fp;
int mat_row, mat_col;
int grid_row, grid_col;
int dest;
int coords[2];
FLOAT *temp;
MPI_Status status;
if (grid->my_rank == 0) { // Process 0 read matrix input from stdin and send them to other processess
fp = fopen("B.dat","r");
temp = (FLOAT*) malloc(Order(local_B)*sizeof(FLOAT));
printf("%s\n", prompt);
fflush(stdout);
for (mat_row = 0; mat_row < n; mat_row++) {
grid_row = mat_row/Order(local_B);
coords[0] = grid_row;
for (grid_col = 0; grid_col < grid->q; grid_col++) {
coords[1] = grid_col;
MPI_Cart_rank(grid->comm, coords, &dest);
if (dest == 0) { // process 0 (local)
for (mat_col = 0; mat_col < Order(local_B); mat_col++)
fscanf(fp, "%lf",
(local_B->entries)+mat_col*Order(local_B)+mat_row); // switch rows and colums in local_B, for column major storage
/* scanf("%lf",
(local_B->entries)+mat_col*Order(local_B)+mat_row); // switch rows and colums in local_B, for column major storage
*/
/* scanf("%lf",
(local_A->entries)+mat_row*Order(local_A)+mat_col); */
} else {
for(mat_col = 0; mat_col < Order(local_B); mat_col++)
fscanf(fp, "%lf", temp + mat_col);
// scanf("%lf", temp + mat_col);
MPI_Send(temp, Order(local_B), FLOAT_MPI, dest, 0,
grid->comm);
}
}
}
free(temp);
fclose(fp);
} else { // Other processess receive matrix from process 0
temp = (FLOAT*) malloc(Order(local_B)*sizeof(FLOAT)); // switch rows and colums in local_B, for column major storage
for (mat_col = 0; mat_col < Order(local_B); mat_col++) {
MPI_Recv(temp, Order(local_B),
FLOAT_MPI, 0, 0, grid->comm, &status); // switch rows and colums in local_B, for column major storage
for(mat_row = 0; mat_row < Order(local_B); mat_row++)
Entry(local_B, mat_row, mat_col) = *(temp + mat_row); // switch rows and colums in local_B, for column major storage
/* MPI_Recv(&Entry(local_A, mat_row, 0), Order(local_A),
FLOAT_MPI, 0, 0, grid->comm, &status); */
}
free(temp);
}
} /* Read_matrix_B */
/*********************************************************/
/* Recive and Print Matrix A:
* foreach global row of the matrix,
* foreach grid column
* send n_bar floats to process 0 from each other process
* receive a block of n_bar floats on process 0 from other processes and print them
*/
void Print_matrix_A(
char* title /* in */,
LOCAL_MATRIX_T* local_A /* out */,
GRID_INFO_T* grid /* in */,
int n /* in */) {
int mat_row, mat_col;
int grid_row, grid_col;
int source;
int coords[2];
FLOAT* temp;
MPI_Status status;
if (grid->my_rank == 0) {
temp = (FLOAT*) malloc(Order(local_A)*sizeof(FLOAT));
printf("%s\n", title);
for (mat_row = 0; mat_row < n; mat_row++) {
grid_row = mat_row/Order(local_A);
coords[0] = grid_row;
for (grid_col = 0; grid_col < grid->q; grid_col++) {
coords[1] = grid_col;
MPI_Cart_rank(grid->comm, coords, &source);
if (source == 0) {
for(mat_col = 0; mat_col < Order(local_A); mat_col++)
printf("%20.15E ", Entry(local_A, mat_row, mat_col));
} else {
MPI_Recv(temp, Order(local_A), FLOAT_MPI, source, 0,
grid->comm, &status);
for(mat_col = 0; mat_col < Order(local_A); mat_col++)
printf("%20.15E ", temp[mat_col]);
}
}
printf("\n");
}
free(temp);
} else {
for (mat_row = 0; mat_row < Order(local_A); mat_row++)
MPI_Send(&Entry(local_A, mat_row, 0), Order(local_A),
FLOAT_MPI, 0, 0, grid->comm);
}
} /* Print_matrix_A */
/*********************************************************/
/* Recive and Print Matrix for local matrix B's transpose:
* foreach global row of the matrix,
* foreach grid column
* send n_bar floats to process 0 from each other process
* receive a block of n_bar floats on process 0 from other processes and print them
*/
void Print_matrix_B(
char* title /* in */,
LOCAL_MATRIX_T* local_B /* out */,
GRID_INFO_T* grid /* in */,
int n /* in */) {
int mat_row, mat_col;
int grid_row, grid_col;
int source;
int coords[2];
FLOAT* temp;
MPI_Status status;
if (grid->my_rank == 0) {
temp = (FLOAT*) malloc(Order(local_B)*sizeof(FLOAT));
printf("%s\n", title);
for (mat_row = 0; mat_row < n; mat_row++) {
grid_row = mat_row/Order(local_B);
coords[0] = grid_row;
for (grid_col = 0; grid_col < grid->q; grid_col++) {
coords[1] = grid_col;
MPI_Cart_rank(grid->comm, coords, &source);
if (source == 0) {
for(mat_col = 0; mat_col < Order(local_B); mat_col++)
printf("%20.15E ", Entry(local_B, mat_col, mat_row)); // switch rows and colums in local_B, for column major storage
// printf("%20.15E ", Entry(local_A, mat_row, mat_col));
} else {
MPI_Recv(temp, Order(local_B), FLOAT_MPI, source, 0,
grid->comm, &status);
for(mat_col = 0; mat_col < Order(local_B); mat_col++)
printf("%20.15E ", temp[mat_col]);
}
}
printf("\n");
}
free(temp);
} else {
temp = (FLOAT*) malloc(Order(local_B)*sizeof(FLOAT));
for (mat_col = 0; mat_col < Order(local_B); mat_col++) {
for(mat_row = 0; mat_row < Order(local_B); mat_row++)
*(temp+mat_row) = Entry(local_B, mat_row, mat_col); // switch rows and colums in local_B, for column major storage
MPI_Send(temp, Order(local_B), FLOAT_MPI, 0, 0, grid->comm);
}
free(temp);
}
} /* Print_matrix_B */
/*********************************************************/
/* Recive and Print Matrix A:
* foreach global row of the matrix,
* foreach grid column
* send n_bar floats to process 0 from each other process
* receive a block of n_bar floats on process 0 from other processes and print them
*/
void Print_matrix_C(
char* title /* in */,
LOCAL_MATRIX_T* local_C /* out */,
GRID_INFO_T* grid /* in */,
int n /* in */) {
int mat_row, mat_col;
int grid_row, grid_col;
int source;
int coords[2];
FLOAT* temp;
MPI_Status status;
if (grid->my_rank == 0) {
temp = (FLOAT*) malloc(Order(local_C)*sizeof(FLOAT));
printf("%s\n", title);
for (mat_row = 0; mat_row < n; mat_row++) {
grid_row = mat_row/Order(local_C);
coords[0] = grid_row;
for (grid_col = 0; grid_col < grid->q; grid_col++) {
coords[1] = grid_col;
MPI_Cart_rank(grid->comm, coords, &source);
if (source == 0) {
for(mat_col = 0; mat_col < Order(local_C); mat_col++)
printf("%20.15E ", Entry(local_C, mat_row, mat_col));
} else {
MPI_Recv(temp, Order(local_C), FLOAT_MPI, source, 0,
grid->comm, &status);
for(mat_col = 0; mat_col < Order(local_C); mat_col++)
printf("%20.15E ", temp[mat_col]);
}
}
printf("\n");
}
free(temp);
} else {
for (mat_row = 0; mat_row < Order(local_C); mat_row++)
MPI_Send(&Entry(local_C, mat_row, 0), Order(local_C),
FLOAT_MPI, 0, 0, grid->comm);
}
} /* Print_matrix_C */
/*********************************************************/
/* Recive and Write Matrix C into a file:
* foreach global row of the matrix,
* foreach grid column
* send n_bar floats to process 0 from each other process
* receive a block of n_bar floats on process 0 from other processes and print them
*/
void Write_matrix_C(
char* title /* in */,
LOCAL_MATRIX_T* local_C /* out */,
GRID_INFO_T* grid /* in */,
int n /* in */) {
FILE *fp;
int mat_row, mat_col;
int grid_row, grid_col;
int source;
int coords[2];
FLOAT* temp;
MPI_Status status;
if (grid->my_rank == 0) {
fp = fopen("C.dat", "w+");
temp = (FLOAT*) malloc(Order(local_C)*sizeof(FLOAT));
printf("%s\n", title);
for (mat_row = 0; mat_row < n; mat_row++) {
grid_row = mat_row/Order(local_C);
coords[0] = grid_row;
for (grid_col = 0; grid_col < grid->q; grid_col++) {
coords[1] = grid_col;
MPI_Cart_rank(grid->comm, coords, &source);
if (source == 0) {
for(mat_col = 0; mat_col < Order(local_C); mat_col++)
fprintf(fp, "%20.15E ", Entry(local_C, mat_row, mat_col));
// printf("%20.15E ", Entry(local_A, mat_row, mat_col));
} else {
MPI_Recv(temp, Order(local_C), FLOAT_MPI, source, 0,
grid->comm, &status);
for(mat_col = 0; mat_col < Order(local_C); mat_col++)
fprintf(fp, "%20.15E ", temp[mat_col]);
// printf("%20.15E ", temp[mat_col]);
}
}
fprintf(fp,"\n");
}
free(temp);
fclose(fp);
} else {
for (mat_row = 0; mat_row < Order(local_C); mat_row++)
MPI_Send(&Entry(local_C, mat_row, 0), Order(local_C),
FLOAT_MPI, 0, 0, grid->comm);
}
} /* Write_matrix_C */
/*********************************************************/
/*
* Set local matrix's element to zero
*/
void Set_to_zero(
LOCAL_MATRIX_T* local_A /* out */) {
int i, j;
for (i = 0; i < Order(local_A); i++)
for (j = 0; j < Order(local_A); j++)
Entry(local_A,i,j) = 0.0E0;
} /* Set_to_zero */
/*********************************************************/
void Build_matrix_type(
LOCAL_MATRIX_T* local_A /* in */) {
MPI_Datatype temp_mpi_t;
int block_lengths[2];
MPI_Aint displacements[2];
MPI_Datatype typelist[2];
MPI_Aint start_address;
MPI_Aint address;
MPI_Type_contiguous(Order(local_A)*Order(local_A),
FLOAT_MPI, &temp_mpi_t); // Creates a contiguous datatype
/*
Synopsis
int MPI_Type_contiguous(int count,
MPI_Datatype oldtype,
MPI_Datatype *newtype)
Input Parameters
count
replication count (nonnegative integer)
oldtype
old datatype (handle)
*/
block_lengths[0] = block_lengths[1] = 1;
typelist[0] = MPI_INT;
typelist[1] = temp_mpi_t;
MPI_Address(local_A, &start_address); // Gets the address of a location in caller's memory
MPI_Address(&(local_A->n_bar), &address);
/*
Synopsis
int MPI_Address(const void *location, MPI_Aint *address)
Input Parameters
location
location in caller memory (choice)
Output Parameters
address
address of location (address integer)
*/
displacements[0] = address - start_address;
MPI_Address(local_A->entries, &address);
displacements[1] = address - start_address;
MPI_Type_struct(2, block_lengths, displacements,
typelist, &local_matrix_mpi_t); // Creates a struct datatype
/*
Synopsis
int MPI_Type_struct(int count,
const int *array_of_blocklengths,
const MPI_Aint *array_of_displacements,
const MPI_Datatype *array_of_types,
MPI_Datatype *newtype)
Input Parameters
count
number of blocks (integer) -- also number of entries in arrays array_of_types , array_of_displacements and array_of_blocklengths
array_of_blocklengths
number of elements in each block (array)
array_of_displacements
byte displacement of each block (array)
array_of_types
type of elements in each block (array of handles to datatype objects)
Output Parameters
newtype
new datatype (handle)
*/
MPI_Type_commit(&local_matrix_mpi_t); // Commits the datatype
/*
Synopsis
int MPI_Type_commit(MPI_Datatype *datatype)
Input Parameters
datatype
datatype (handle)
*/
} /* Build_matrix_type */
/*********************************************************/
/* local matrix multiplication function
* withing OpenMP Thread Acceleration
*/
void Local_matrix_multiply(
LOCAL_MATRIX_T* local_A /* in */,
LOCAL_MATRIX_T* local_B /* in */,
LOCAL_MATRIX_T* local_C /* out */) {
int i, j, k;
// int my_rank;
// MPI_Comm_rank(MPI_COMM_WORLD, &my_rank); // Get my process id in the MPI communicator
#pragma omp parallel for private(i, j, k) shared(local_A, local_B, local_C) num_threads(NUM_THREADS) // Threads acceleration upgrade, parallel task split
for (i = 0; i < Order(local_A); i++) {
// printf("Current in the Fox Kernel:\n my process id is %d, my thread id is %d\n",my_rank,omp_get_thread_num());
for (j = 0; j < Order(local_A); j++)
for (k = 0; k < Order(local_B); k++)
Entry(local_C,i,j) = Entry(local_C,i,j) // switch rows and colums in local_B, for column major storage
+ Entry(local_A,i,k)*Entry(local_B,j,k); // continuous memory access, local matrix multiplication A(i,k)*B^T(j,k)
/* Entry(local_C,i,j) = Entry(local_C,i,j)
+ Entry(local_A,i,k)*Entry(local_B,k,j); // non-continuous memory access, A(i,k)*B^T(j,k) is more proper
*/
}
} /* Local_matrix_multiply */
/*********************************************************/
/* Recive and Print Local Matrix A:
* Process 0 print local matrix local_A
* Other Processess send local matrix local_A to process 0
* And process 0 receive local matrix local_A from other processess
*/
void Print_local_matrices_A(
char* title /* in */,
LOCAL_MATRIX_T* local_A /* in */,
GRID_INFO_T* grid /* in */) {
int coords[2];
int i, j;
int source;
MPI_Status status;
// print by process No.0 in process mesh
if (grid->my_rank == 0) {
printf("%s\n", title);
printf("Process %d > grid_row = %d, grid_col = %d\n",
grid->my_rank, grid->my_row, grid->my_col);
for (i = 0; i < Order(local_A); i++) {
for (j = 0; j < Order(local_A); j++)
printf("%20.15E ", Entry(local_A,i,j));
printf("\n");
}
for (source = 1; source < grid->p; source++) {
MPI_Recv(temp_mat, 1, local_matrix_mpi_t, source, 0,
grid->comm, &status);
MPI_Cart_coords(grid->comm, source, 2, coords);
printf("Process %d > grid_row = %d, grid_col = %d\n",
source, coords[0], coords[1]);
for (i = 0; i < Order(temp_mat); i++) {
for (j = 0; j < Order(temp_mat); j++)
printf("%20.15E ", Entry(temp_mat,i,j));
printf("\n");
}
}
fflush(stdout);
} else {
MPI_Send(local_A, 1, local_matrix_mpi_t, 0, 0, grid->comm);
}
} /* Print_local_matrices_A */
/*********************************************************/
/* Recive and Print Local Matrix for local matrix B's transpose:
* Process 0 print local matrix local_A
* Other Processess send local matrix local_A to process 0
* And process 0 receive local matrix local_A from other processess
*/
void Print_local_matrices_B(
char* title /* in */,
LOCAL_MATRIX_T* local_B /* in */,
GRID_INFO_T* grid /* in */) {
int coords[2];
int i, j;
int source;
MPI_Status status;
// print by process No.0 in process mesh
if (grid->my_rank == 0) {
printf("%s\n", title);
printf("Process %d > grid_row = %d, grid_col = %d\n",
grid->my_rank, grid->my_row, grid->my_col);
for (i = 0; i < Order(local_B); i++) {
for (j = 0; j < Order(local_B); j++)
printf("%20.15E ", Entry(local_B,j,i)); // switch rows and colums in local_B, for column major storage
printf("\n");
}
for (source = 1; source < grid->p; source++) {
MPI_Recv(temp_mat, 1, local_matrix_mpi_t, source, 0,
grid->comm, &status);
MPI_Cart_coords(grid->comm, source, 2, coords);
printf("Process %d > grid_row = %d, grid_col = %d\n",
source, coords[0], coords[1]);
for (i = 0; i < Order(temp_mat); i++) {
for (j = 0; j < Order(temp_mat); j++)
printf("%20.15E ", Entry(temp_mat,j,i)); // switch rows and colums in local_B, for column major storage
printf("\n");
}
}
fflush(stdout);
} else {
MPI_Send(local_B, 1, local_matrix_mpi_t, 0, 0, grid->comm);
}
} /* Print_local_matrices_B */
/*********************************************************/
/* Recive and Print Local Matrix A:
* Process 0 print local matrix local_A
* Other Processess send local matrix local_A to process 0
* And process 0 receive local matrix local_A from other processess
*/
void Print_local_matrices_C(
char* title /* in */,
LOCAL_MATRIX_T* local_C /* in */,
GRID_INFO_T* grid /* in */) {
int coords[2];
int i, j;
int source;
MPI_Status status;
// print by process No.0 in process mesh
if (grid->my_rank == 0) {
printf("%s\n", title);
printf("Process %d > grid_row = %d, grid_col = %d\n",
grid->my_rank, grid->my_row, grid->my_col);
for (i = 0; i < Order(local_C); i++) {
for (j = 0; j < Order(local_C); j++)
printf("%20.15E ", Entry(local_C,i,j));
printf("\n");
}
for (source = 1; source < grid->p; source++) {
MPI_Recv(temp_mat, 1, local_matrix_mpi_t, source, 0,
grid->comm, &status);
MPI_Cart_coords(grid->comm, source, 2, coords);
printf("Process %d > grid_row = %d, grid_col = %d\n",
source, coords[0], coords[1]);
for (i = 0; i < Order(temp_mat); i++) {
for (j = 0; j < Order(temp_mat); j++)
printf("%20.15E ", Entry(temp_mat,i,j));
printf("\n");
}
}
fflush(stdout);
} else {
MPI_Send(local_C, 1, local_matrix_mpi_t, 0, 0, grid->comm);
}
} /* Print_local_matrices_C */
/*********************************************************/
/* Recive and Write Local Matrix A:
* Process 0 print local matrix local_A
* Other Processess send local matrix local_A to process 0
* And process 0 receive local matrix local_A from other processess
*/
void Write_local_matrices_A(
char* title /* in */,
LOCAL_MATRIX_T* local_A /* in */,
GRID_INFO_T* grid /* in */) {
FILE *fp;
int coords[2];
int i, j;
int source;
MPI_Status status;
// print by process No.0 in process mesh
if (grid->my_rank == 0) {
fp = fopen("local_A.dat","w+");
printf("%s\n", title);
fprintf(fp,"Process %d > grid_row = %d, grid_col = %d\n",
grid->my_rank, grid->my_row, grid->my_col);
for (i = 0; i < Order(local_A); i++) {
for (j = 0; j < Order(local_A); j++)
fprintf(fp,"%20.15E ", Entry(local_A,i,j));
fprintf(fp, "\n");
}
for (source = 1; source < grid->p; source++) {
MPI_Recv(temp_mat, 1, local_matrix_mpi_t, source, 0,
grid->comm, &status);
MPI_Cart_coords(grid->comm, source, 2, coords);
fprintf(fp, "Process %d > grid_row = %d, grid_col = %d\n",
source, coords[0], coords[1]);
for (i = 0; i < Order(temp_mat); i++) {
for (j = 0; j < Order(temp_mat); j++)
fprintf(fp, "%20.15E ", Entry(temp_mat,i,j));
fprintf(fp, "\n");
}
}
fflush(stdout);
fclose(fp);
} else {
MPI_Send(local_A, 1, local_matrix_mpi_t, 0, 0, grid->comm);
}
} /* Write_local_matrices_A */
/*********************************************************/
/* Recive and Write Local Matrix for local matrix B's transpose:
* Process 0 print local matrix local_A
* Other Processess send local matrix local_A to process 0
* And process 0 receive local matrix local_A from other processess
*/
void Write_local_matrices_B(
char* title /* in */,
LOCAL_MATRIX_T* local_B /* in */,
GRID_INFO_T* grid /* in */) {
FILE *fp;
int coords[2];
int i, j;
int source;
MPI_Status status;
// print by process No.0 in process mesh
if (grid->my_rank == 0) {
fp = fopen("local_B.dat","w+");
printf("%s\n", title);
fprintf(fp, "Process %d > grid_row = %d, grid_col = %d\n",
grid->my_rank, grid->my_row, grid->my_col);
for (i = 0; i < Order(local_B); i++) {
for (j = 0; j < Order(local_B); j++)
fprintf(fp, "%20.15E ", Entry(local_B,j,i)); // switch rows and colums in local_B, for column major storage
fprintf(fp, "\n");
}
for (source = 1; source < grid->p; source++) {
MPI_Recv(temp_mat, 1, local_matrix_mpi_t, source, 0,
grid->comm, &status);
MPI_Cart_coords(grid->comm, source, 2, coords);
fprintf(fp, "Process %d > grid_row = %d, grid_col = %d\n",
source, coords[0], coords[1]);
for (i = 0; i < Order(temp_mat); i++) {
for (j = 0; j < Order(temp_mat); j++)
fprintf(fp, "%20.15E ", Entry(temp_mat,j,i)); // switch rows and colums in local_B, for column major storage
fprintf(fp, "\n");
}
}
fflush(stdout);
fclose(fp);
} else {
MPI_Send(local_B, 1, local_matrix_mpi_t, 0, 0, grid->comm);
}
} /* Write_local_matrices_B */
/*********************************************************/
/* Recive and Write Local Matrix C:
* Process 0 print local matrix local_C
* Other Processess send local matrix local_C to process 0
* And process 0 receive local matrix local_C from other processess
*/
void Write_local_matrices_C(
char* title /* in */,
LOCAL_MATRIX_T* local_C /* in */,
GRID_INFO_T* grid /* in */) {
FILE *fp;
int coords[2];
int i, j;
int source;
MPI_Status status;
// print by process No.0 in process mesh
if (grid->my_rank == 0) {
fp = fopen("local_C.dat","w+");
printf("%s\n", title);
fprintf(fp, "Process %d > grid_row = %d, grid_col = %d\n",
grid->my_rank, grid->my_row, grid->my_col);
for (i = 0; i < Order(local_C); i++) {
for (j = 0; j < Order(local_C); j++)
fprintf(fp, "%20.15E ", Entry(local_C,i,j));
fprintf(fp, "\n");
}
for (source = 1; source < grid->p; source++) {
MPI_Recv(temp_mat, 1, local_matrix_mpi_t, source, 0,
grid->comm, &status);
MPI_Cart_coords(grid->comm, source, 2, coords);
fprintf(fp, "Process %d > grid_row = %d, grid_col = %d\n",
source, coords[0], coords[1]);
for (i = 0; i < Order(temp_mat); i++) {
for (j = 0; j < Order(temp_mat); j++)
fprintf(fp, "%20.15E ", Entry(temp_mat,i,j));
fprintf(fp, "\n");
}
}
fflush(stdout);
fclose(fp);
} else {
MPI_Send(local_C, 1, local_matrix_mpi_t, 0, 0, grid->comm);
}
} /* Write_local_matrices_C */
|
Efficient_RANSAC.h | // Copyright (c) 2015 INRIA Sophia-Antipolis (France).
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org).
//
// $URL$
// $Id$
// SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial
//
//
// Author(s) : Sven Oesau, Yannick Verdie, Clément Jamin, Pierre Alliez
//
#ifndef CGAL_SHAPE_DETECTION_EFFICIENT_RANSAC_H
#define CGAL_SHAPE_DETECTION_EFFICIENT_RANSAC_H
#include <CGAL/license/Shape_detection.h>
#include <CGAL/Random.h>
#include <CGAL/Shape_detection/Efficient_RANSAC/Octree.h>
#include <CGAL/Shape_detection/Efficient_RANSAC/Shape_base.h>
#include <CGAL/Shape_detection/Efficient_RANSAC/Plane.h>
// for octree ------------------------------
#include <boost/iterator/filter_iterator.hpp>
#include <CGAL/bounding_box.h>
#include <CGAL/Iterator_range.h>
//----------
#include <vector>
#include <cmath>
#include <limits>
#include <fstream>
#include <sstream>
#include <functional>
// boost --------------
#include <CGAL/boost/iterator/counting_iterator.hpp>
#include <boost/shared_ptr.hpp>
#include <boost/make_shared.hpp>
//---------------------
namespace CGAL {
namespace Shape_detection {
/*!
\ingroup PkgShapeDetectionRANSAC
\brief Shape detection algorithm based on the RANSAC method.
Given a point set in 3D space with unoriented normals, sampled on surfaces,
this class enables to detect subsets of connected points lying on the surface of primitive shapes.
Each input point is assigned to either none or at most one detected primitive
shape. The implementation follows \cgalCite{schnabel2007efficient}.
\tparam Traits must be a model of `EfficientRANSACTraits`.
*/
template <class Traits>
class Efficient_RANSAC {
public:
/// \cond SKIP_IN_MANUAL
struct Filter_unassigned_points {
Filter_unassigned_points() : m_shape_index(dummy) {}
Filter_unassigned_points(const std::vector<int> &shapeIndex)
: m_shape_index(shapeIndex) {}
bool operator()(std::size_t x) {
if (x < m_shape_index.size())
return m_shape_index[x] == -1;
else return true; // to prevent infinite incrementing
}
const std::vector<int>& m_shape_index;
std::vector<int> dummy;
};
typedef boost::filter_iterator<Filter_unassigned_points,
boost::counting_iterator<std::size_t, boost::use_default, std::ptrdiff_t> > Point_index_iterator;
///< iterator for indices of points.
/// \endcond
/// \name Types
/// @{
/// \cond SKIP_IN_MANUAL
typedef typename Traits::Input_range::iterator Input_iterator;
typedef typename Traits::FT FT; ///< number type.
typedef typename Traits::Point_3 Point; ///< point type.
typedef typename Traits::Vector_3 Vector; ///< vector type.
/// \endcond
typedef typename Traits::Input_range Input_range;
///< Model of the concept `Range` with random access iterators, providing input points and normals
/// through the following two property maps.
typedef typename Traits::Point_map Point_map;
///< Property map to access the location of an input point.
typedef typename Traits::Normal_map Normal_map;
///< Property map to access the unoriented normal of an input point.
typedef Shape_base<Traits> Shape; ///< Shape type.
typedef Plane<Traits> Plane_shape; ///< %Plane shape type.
#ifdef DOXYGEN_RUNNING
typedef unspecified_type Shape_range;
///< `Iterator_range` with a bidirectional constant iterator type with value type `boost::shared_ptr<Shape>`.
typedef unspecified_type Plane_range;
///< `Iterator_range` with a bidirectional constant iterator type with value type `boost::shared_ptr<Plane_shape>`.
#else
struct Shape_range : public Iterator_range<
typename std::vector<boost::shared_ptr<Shape> >::const_iterator> {
typedef Iterator_range<
typename std::vector<boost::shared_ptr<Shape> >::const_iterator> Base;
Shape_range(boost::shared_ptr<std::vector<boost::shared_ptr<Shape> > >
extracted_shapes) : Base(make_range(extracted_shapes->begin(),
extracted_shapes->end())), m_extracted_shapes(extracted_shapes) {}
private:
boost::shared_ptr<std::vector<boost::shared_ptr<Shape> > >
m_extracted_shapes; // keeps a reference to the shape vector
};
struct Plane_range : public Iterator_range<
typename std::vector<boost::shared_ptr<Plane_shape> >::const_iterator> {
typedef Iterator_range<
typename std::vector<boost::shared_ptr<Plane_shape> >::const_iterator> Base;
Plane_range(boost::shared_ptr<std::vector<boost::shared_ptr<Plane_shape> > >
extracted_shapes) : Base(make_range(extracted_shapes->begin(),
extracted_shapes->end())), m_extracted_shapes(extracted_shapes) {}
private:
boost::shared_ptr<std::vector<boost::shared_ptr<Plane_shape> > >
m_extracted_shapes; // keeps a reference to the shape vector
};
#endif
#ifdef DOXYGEN_RUNNING
typedef unspecified_type Point_index_range;
///< `Iterator_range` with a bidirectional iterator with value type `std::size_t`
/// as indices into the input data that has not been assigned to a shape.
/// As this range class has no `size()` method, the method
/// `Efficient_RANSAC::number_of_unassigned_points()` is provided.
#else
typedef Iterator_range<Point_index_iterator>
Point_index_range;
#endif
/// @}
/// \name Parameters
/// @{
/*!
Parameters for the shape detection algorithm. They are explained in detail
in Section \ref Shape_detection_RANSACParameters of the User Manual.
*/
struct Parameters {
Parameters()
: probability((FT) 0.01)
, min_points((std::numeric_limits<std::size_t>::max)())
, epsilon(-1)
, normal_threshold((FT) 0.9)
, cluster_epsilon(-1)
{}
/*!
Probability to control search endurance.
%Default value is 0.05.
A lower probability provides a higher reliability and determinism at the cost
of longer running time due to a higher search endurance.
It must belong to the interval [0, 1].
*/
FT probability;
/*!
Minimum number of points in a shape.
%Default value is 1% of total number of input points.
It must belong to the interval [0, +inf).
*/
std::size_t min_points;
/*!
Maximum acceptable Euclidean distance between a point and a shape.
%Default value is 1% of the bounding box diagonal.
It must belong to the interval [0, +inf).
*/
FT epsilon;
/*!
Maximum threshold on the dot product between the estimated
shape's normal and the point's normal, that is the cosine of the angle (cos(25°) = 0.9).
%Default value is 0.9 (around 25 degrees).
It must belong to the interval [0, 1].
*/
FT normal_threshold;
/*!
Maximum acceptable Euclidean distance between points, which are assumed to be neighbors.
%Default value is 1% of the bounding box diagonal.
It must belong to the interval [0, +inf).
*/
FT cluster_epsilon;
};
/// @}
private:
typedef internal::Octree<internal::DirectPointAccessor<Traits> >
Direct_octree;
typedef internal::Octree<internal::IndexedPointAccessor<Traits> >
Indexed_octree;
//--------------------------------------------typedef
// Creates a function pointer for instancing shape instances.
template <class ShapeT>
static Shape *factory() {
return new ShapeT;
}
public:
/// \name Initialization
/// @{
/*!
Constructs an empty shape detection object.
*/
Efficient_RANSAC(Traits t = Traits())
: m_traits(t)
, m_direct_octrees(nullptr)
, m_global_octree(nullptr)
, m_num_subsets(0)
, m_num_available_points(0)
, m_num_total_points(0)
, m_valid_iterators(false)
{}
/*!
Releases all memory allocated by this instance including shapes.
*/
~Efficient_RANSAC() {
clear();
}
/*!
Retrieves the traits class.
*/
const Traits&
traits() const
{
return m_traits;
}
/*!
Retrieves the point property map.
*/
const Point_map& point_map() const { return m_point_pmap; }
/*!
Retrieves the normal property map.
*/
const Normal_map& normal() const { return m_normal_pmap; }
Input_iterator input_iterator_first() const
{
return m_input_iterator_first;
}
Input_iterator input_iterator_beyond() const
{
return m_input_iterator_beyond;
}
/*!
Sets the input data. The range must stay valid
until the detection has been performed and the access to the
results is no longer required. The data in the input is reordered by the methods
`detect()` and `preprocess()`. This function first calls `clear()`.
*/
void set_input(
Input_range& input_range,
///< Range of input data.
Point_map point_map = Point_map(),
///< Property map to access the position of an input point.
Normal_map normal_map = Normal_map()
///< Property map to access the normal of an input point.
) {
m_point_pmap = point_map;
m_normal_pmap = normal_map;
m_input_iterator_first = input_range.begin();
m_input_iterator_beyond = input_range.end();
clear();
m_extracted_shapes =
boost::make_shared<std::vector<boost::shared_ptr<Shape> > >();
m_num_available_points = m_num_total_points = std::distance(
m_input_iterator_first, m_input_iterator_beyond);
m_valid_iterators = true;
}
/*!
Registers the shape type `ShapeType` in the detection engine that must inherit from `Shape_base`.
For example, for registering a plane as detectable shape, you should call
`ransac.add_shape_factory< Shape_detection::Plane<Traits> >();`. Note
that if your call is within a template, you should add the `template`
keyword just before `add_shape_factory`:
`ransac.template add_shape_factory< Shape_detection::Plane<Traits> >();`.
*/
template <class Shape_type>
void add_shape_factory() {
m_shape_factories.push_back(factory<Shape_type>);
}
/*!
Constructs internal data structures required for the shape detection.
These structures only depend on the input data, i.e. the points and
normal vectors. This method is called by `detect()`, if it was not called
before by the user.
*/
bool preprocess() {
if (m_num_total_points == 0)
return false;
// Generation of subsets
m_num_subsets = (std::size_t)(std::max<std::ptrdiff_t>)((std::ptrdiff_t)
std::floor(std::log(double(m_num_total_points))/std::log(2.))-9, 2);
// SUBSET GENERATION ->
// approach with increasing subset sizes -> replace with octree later on
Input_iterator last = m_input_iterator_beyond - 1;
std::size_t remainingPoints = m_num_total_points;
m_available_octree_sizes.resize(m_num_subsets);
m_direct_octrees = new Direct_octree *[m_num_subsets];
for (int s = int(m_num_subsets) - 1;s >= 0;--s) {
std::size_t subsetSize = remainingPoints;
std::vector<std::size_t> indices(subsetSize);
if (s) {
subsetSize >>= 1;
for (std::size_t i = 0;i<subsetSize;i++) {
std::size_t index = get_default_random()(2);
index = index + (i<<1);
index = (index >= remainingPoints) ? remainingPoints - 1 : index;
indices[i] = index;
}
// move points to the end of the point vector
std::size_t j = subsetSize;
do {
j--;
typename std::iterator_traits<Input_iterator>::value_type
tmp = (*last);
*last = m_input_iterator_first[indices[std::size_t(j)]];
m_input_iterator_first[indices[std::size_t(j)]] = tmp;
last--;
} while (j > 0);
m_direct_octrees[s] = new Direct_octree(
m_traits, last + 1,
last + subsetSize + 1,
m_point_pmap, m_normal_pmap,
remainingPoints - subsetSize);
}
else
m_direct_octrees[0] = new Direct_octree(
m_traits, m_input_iterator_first,
m_input_iterator_first + (subsetSize),
m_point_pmap, m_normal_pmap,
0);
m_available_octree_sizes[s] = subsetSize;
m_direct_octrees[s]->createTree(m_options.cluster_epsilon);
remainingPoints -= subsetSize;
}
m_global_octree = new Indexed_octree(
m_traits, m_input_iterator_first, m_input_iterator_beyond,
m_point_pmap, m_normal_pmap);
m_global_octree->createTree(m_options.cluster_epsilon);
return true;
}
/// @}
/// \name Memory Management
/// @{
/*!
Removes all shape types registered for detection.
*/
void clear_shape_factories() {
m_shape_factories.clear();
}
/*!
Frees memory allocated for the internal search structures but keeps the detected shapes.
It invalidates the range retrieved using `unassigned_points()`.
*/
void clear_octrees() {
// If there is no data yet, there are no data structures.
if (!m_valid_iterators)
return;
if (m_global_octree) {
delete m_global_octree;
m_global_octree = nullptr;
}
if (m_direct_octrees) {
for (std::size_t i = 0;i<m_num_subsets;i++)
delete m_direct_octrees[i];
delete [] m_direct_octrees;
m_direct_octrees = nullptr;
}
m_num_subsets = 0;
}
/*!
Calls `clear_octrees()` and removes all detected shapes.
All internal structures are cleaned, including formerly detected shapes.
Thus iterators and ranges retrieved through `shapes()`, `planes()` and `indices_of_unassigned_points()`
are invalidated.
*/
void clear() {
// If there is no data yet, there are no data structures.
if (!m_valid_iterators)
return;
std::vector<int>().swap(m_shape_index);
m_extracted_shapes =
boost::make_shared<std::vector<boost::shared_ptr<Shape> > >();
m_num_available_points = m_num_total_points;
clear_octrees();
clear_shape_factories();
}
/// @}
/// \name Detection
/// @{
/*!
Performs the shape detection. Shape types considered during the detection
are those registered using `add_shape_factory()`.
\param options parameters for shape detection
\param callback can be omitted if the algorithm should be run
without any callback. It is called regularly when the algorithm
is running: the current advancement (between 0.0 and 1.0) is
passed as parameter. If it returns `true`, then the algorithm
continues its execution normally; if it returns `false`, the
algorithm is stopped. Note that this interruption may leave the
class in an invalid state.
\return `true` if shape types have been registered and
input data has been set. Otherwise, `false` is returned.
*/
bool detect(const Parameters &options = Parameters(),
const std::function<bool(double)>& callback
= std::function<bool(double)>())
{
m_options = options;
// No shape types for detection or no points provided, exit
if (m_shape_factories.size() == 0 ||
(m_input_iterator_beyond - m_input_iterator_first) == 0)
return false;
if (m_num_subsets == 0 || m_global_octree == 0) {
if (!preprocess())
return false;
}
if (callback && !callback(0.))
return false;
// Reset data structures possibly used by former search
m_extracted_shapes =
boost::make_shared<std::vector<boost::shared_ptr<Shape> > >();
m_num_available_points = m_num_total_points;
for (std::size_t i = 0;i<m_num_subsets;i++) {
m_available_octree_sizes[i] = m_direct_octrees[i]->size();
}
// Use bounding box diagonal as reference for default values
Bbox_3 bbox = m_global_octree->boundingBox();
FT bbox_diagonal = (FT) CGAL::sqrt(
(bbox.xmax() - bbox.xmin()) * (bbox.xmax() - bbox.xmin())
+ (bbox.ymax() - bbox.ymin()) * (bbox.ymax() - bbox.ymin())
+ (bbox.zmax() - bbox.zmin()) * (bbox.zmax() - bbox.zmin()));
// Epsilon or cluster_epsilon have been set by the user?
// If not, derive from bounding box diagonal
m_options.epsilon = (m_options.epsilon < 0)
? bbox_diagonal * (FT) 0.01 : m_options.epsilon;
m_options.cluster_epsilon = (m_options.cluster_epsilon < 0)
? bbox_diagonal * (FT) 0.01 : m_options.cluster_epsilon;
// Minimum number of points has been set?
m_options.min_points =
(m_options.min_points == (std::numeric_limits<std::size_t>::max)()) ?
(std::size_t)((FT)0.01 * m_num_available_points) :
m_options.min_points;
m_options.min_points = (m_options.min_points < 10) ? 10 : m_options.min_points;
// Initializing the shape index
m_shape_index.assign(m_num_available_points, -1);
if (m_options.min_points > m_num_available_points)
return true;
// List of all randomly drawn candidates
// with the minimum number of points
std::vector<Shape *> candidates;
// Identifying minimum number of samples
m_required_samples = 0;
for (std::size_t i = 0;i<m_shape_factories.size();i++) {
Shape *tmp = (Shape *) m_shape_factories[i]();
m_required_samples = (std::max<std::size_t>)(m_required_samples, tmp->minimum_sample_size());
delete tmp;
}
std::size_t first_sample; // first sample for RANSAC
FT best_expected = 0;
// number of points that have been assigned to a shape
std::size_t num_invalid = 0;
std::size_t generated_candidates = 0;
std::size_t failed_candidates = 0;
std::size_t limit_failed_candidates = (std::max)(std::size_t(10000),
std::size_t(m_input_iterator_beyond
- m_input_iterator_first)
/ std::size_t(100));
bool force_exit = false;
bool keep_searching = true;
do { // main loop
best_expected = 0;
if (keep_searching)
do {
// Search (remaining_points / min_points) shapes (max 200 per iteration, min 1)
std::size_t search_number
= (std::min)(std::size_t(200),
(std::max)(std::size_t((m_num_available_points - num_invalid) / double(m_options.min_points)),
std::size_t(1)));
for (std::size_t nb = 0; nb < search_number; ++ nb)
{
// Generate candidates
//1. pick a point p1 randomly among available points
std::set<std::size_t> indices;
bool done = false;
do {
do
first_sample = get_default_random()(
static_cast<unsigned int>(m_num_available_points));
while (m_shape_index[first_sample] != -1);
done = m_global_octree->drawSamplesFromCellContainingPoint(
get(m_point_pmap,
*(m_input_iterator_first + first_sample)),
select_random_octree_level(),
indices,
m_shape_index,
m_required_samples);
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
} while (m_shape_index[first_sample] != -1 || !done);
generated_candidates++;
//add candidate for each type of primitives
for(typename std::vector<Shape *(*)()>::iterator it =
m_shape_factories.begin(); it != m_shape_factories.end(); it++) {
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
Shape *p = (Shape *) (*it)();
//compute the primitive and says if the candidate is valid
p->compute(indices,
m_input_iterator_first,
m_traits,
m_point_pmap,
m_normal_pmap,
m_options.epsilon,
m_options.normal_threshold);
if (p->is_valid()) {
improve_bound(p, m_num_available_points - num_invalid, 1, 500);
//evaluate the candidate
if(p->max_bound() >= m_options.min_points && p->score() > 0) {
if (best_expected < p->expected_value())
best_expected = p->expected_value();
candidates.push_back(p);
}
else {
failed_candidates++;
delete p;
}
}
else {
failed_candidates++;
delete p;
}
}
}
if (failed_candidates >= limit_failed_candidates)
{
force_exit = true;
}
keep_searching = (stop_probability(m_options.min_points,
m_num_available_points - num_invalid,
generated_candidates, m_global_octree->maxLevel())
> m_options.probability);
} while( !force_exit
&& stop_probability((std::size_t) best_expected,
m_num_available_points - num_invalid,
generated_candidates,
m_global_octree->maxLevel())
> m_options.probability
&& keep_searching);
// end of generate candidate
if (force_exit) {
break;
}
if (candidates.empty())
continue;
// Now get the best candidate in the current set of all candidates
// Note that the function sorts the candidates:
// the best candidate is always the last element of the vector
Shape *best_candidate =
get_best_candidate(candidates, m_num_available_points - num_invalid);
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
// If search is done and the best candidate is too small, we are done.
if (!keep_searching && best_candidate->m_score < m_options.min_points)
break;
if (!best_candidate)
continue;
best_candidate->m_indices.clear();
best_candidate->m_score =
m_global_octree->score(best_candidate,
m_shape_index,
FT(3) * m_options.epsilon,
m_options.normal_threshold);
best_expected = static_cast<FT>(best_candidate->m_score);
best_candidate->connected_component(best_candidate->m_indices,
m_options.cluster_epsilon);
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
// check score against min_points and clear out candidates if too low
if (best_candidate->indices_of_assigned_points().size() <
m_options.min_points)
{
if (!(best_candidate->indices_of_assigned_points().empty()))
for (std::size_t i = 0;i < candidates.size() - 1;i++) {
if (best_candidate->is_same(candidates[i])) {
delete candidates[i];
candidates[i] = nullptr;
}
}
candidates.back() = nullptr;
delete best_candidate;
best_candidate = nullptr;
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
// Trimming candidates list
std::size_t empty = 0, occupied = 0;
while (empty < candidates.size()) {
while (empty < candidates.size() && candidates[empty]) empty++;
if (empty >= candidates.size())
break;
if (occupied < empty)
occupied = empty + 1;
while (occupied < candidates.size() && !candidates[occupied])
occupied++;
if (occupied >= candidates.size())
break;
candidates[empty] = candidates[occupied];
candidates[occupied] = nullptr;
empty++;
occupied++;
}
candidates.resize(empty);
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
}
else
if (stop_probability((std::size_t) best_candidate->expected_value(),
(m_num_available_points - num_invalid),
generated_candidates,
m_global_octree->maxLevel())
<= m_options.probability) {
// Remove candidate from list
candidates.back() = nullptr;
//1. add best candidate to final result.
m_extracted_shapes->push_back(
boost::shared_ptr<Shape>(best_candidate));
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
//2. remove the points
const std::vector<std::size_t> &indices_points_best_candidate =
best_candidate->indices_of_assigned_points();
// update generated candidates to reflect removal of points
generated_candidates = std::size_t(std::pow (1.f - (indices_points_best_candidate.size() /
float(m_num_available_points - num_invalid)), 3.f)
* generated_candidates);
//2.3 Remove the points from the subtrees
for (std::size_t i = 0;i<indices_points_best_candidate.size();i++) {
m_shape_index[indices_points_best_candidate.at(i)] =
int(m_extracted_shapes->size()) - 1;
num_invalid++;
for (std::size_t j = 0;j<m_num_subsets;j++) {
if (m_direct_octrees[j] && m_direct_octrees[j]->m_root) {
std::size_t offset = m_direct_octrees[j]->offset();
if (offset <= indices_points_best_candidate.at(i) &&
(indices_points_best_candidate.at(i) - offset)
< m_direct_octrees[j]->size()) {
m_available_octree_sizes[j]--;
}
}
}
}
failed_candidates = 0;
best_expected = 0;
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
std::vector<std::size_t> subset_sizes(m_num_subsets);
subset_sizes[0] = m_available_octree_sizes[0];
for (std::size_t i = 1;i<m_num_subsets;i++) {
subset_sizes[i] = subset_sizes[i-1] + m_available_octree_sizes[i];
}
//3. Remove points from candidates common with extracted primitive
//#pragma omp parallel for
best_expected = 0;
for (std::size_t i=0;i< candidates.size()-1;i++) {
if (candidates[i]) {
candidates[i]->update_points(m_shape_index);
candidates[i]->compute_bound(
subset_sizes[candidates[i]->m_nb_subset_used - 1],
m_num_available_points - num_invalid);
if (candidates[i]->max_bound() < m_options.min_points) {
delete candidates[i];
candidates[i] = nullptr;
}
else {
best_expected = (candidates[i]->expected_value() > best_expected) ?
candidates[i]->expected_value() : best_expected;
}
}
}
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
std::size_t start = 0, end = candidates.size() - 1;
while (start < end) {
while (candidates[start] && start < end) start++;
while (!candidates[end] && start < end) end--;
if (!candidates[start] && candidates[end] && start < end) {
candidates[start] = candidates[end];
candidates[end] = nullptr;
start++;
end--;
}
}
if (candidates[end]) end++;
candidates.resize(end);
}
else if (!keep_searching)
++ generated_candidates;
if (callback && !callback(num_invalid / double(m_num_total_points)))
return false;
keep_searching = (stop_probability(m_options.min_points,
m_num_available_points - num_invalid,
generated_candidates,
m_global_octree->maxLevel())
> m_options.probability);
}
while((keep_searching
&& FT(m_num_available_points - num_invalid) >= m_options.min_points)
|| best_expected >= m_options.min_points);
// Clean up remaining candidates.
for (std::size_t i = 0;i<candidates.size();i++)
delete candidates[i];
candidates.resize(0);
m_num_available_points -= num_invalid;
return true;
}
/// @}
/// \name Access
/// @{
/*!
Returns an `Iterator_range` with a bidirectional iterator with value type
`boost::shared_ptr<Shape>` over the detected shapes in the order of detection.
Depending on the chosen probability
for the detection, the shapes are ordered with decreasing size.
*/
Shape_range shapes() const {
return Shape_range(m_extracted_shapes);
}
/*!
Returns an `Iterator_range` with a bidirectional iterator with
value type `boost::shared_ptr<Plane_shape>` over only the
detected planes in the order of detection. Depending on the
chosen probability for the detection, the planes are ordered
with decreasing size.
*/
Plane_range planes() const {
boost::shared_ptr<std::vector<boost::shared_ptr<Plane_shape> > > planes
= boost::make_shared<std::vector<boost::shared_ptr<Plane_shape> > >();
for (std::size_t i = 0; i < m_extracted_shapes->size(); ++ i)
{
boost::shared_ptr<Plane_shape> pshape
= boost::dynamic_pointer_cast<Plane_shape>((*m_extracted_shapes)[i]);
// Ignore all shapes other than plane
if (pshape != boost::shared_ptr<Plane_shape>())
planes->push_back (pshape);
}
return Plane_range(planes);
}
/*!
Number of points not assigned to a shape.
*/
std::size_t number_of_unassigned_points() const {
return m_num_available_points;
}
/*!
Returns an `Iterator_range` with a bidirectional iterator with value type `std::size_t`
as indices into the input data that has not been assigned to a shape.
*/
Point_index_range indices_of_unassigned_points() {
Filter_unassigned_points fup(m_shape_index);
Point_index_iterator p1 =
boost::make_filter_iterator<Filter_unassigned_points>(
fup,
boost::counting_iterator<std::size_t, boost::use_default, std::ptrdiff_t>(0),
boost::counting_iterator<std::size_t, boost::use_default, std::ptrdiff_t>(m_shape_index.size()));
return make_range(p1, Point_index_iterator(p1.end()));
}
/// @}
private:
int select_random_octree_level() {
return (int) get_default_random()(
static_cast<unsigned int>(m_global_octree->maxLevel() + 1));
}
Shape* get_best_candidate(std::vector<Shape* >& candidates,
const std::size_t num_available_points) {
if (candidates.size() == 1)
return candidates.back();
int index_worse_candidate = 0;
bool improved = true;
while (index_worse_candidate < (int)candidates.size() - 1 && improved) {
improved = false;
typename Shape::Compare_by_max_bound comp;
std::sort(candidates.begin() + index_worse_candidate,
candidates.end(),
comp);
//refine the best one
improve_bound(candidates.back(),
num_available_points, m_num_subsets,
m_options.min_points);
int position_stop;
//Take all those intersecting the best one, check for equal ones
for (position_stop = int(candidates.size()) - 1;
position_stop > index_worse_candidate;
position_stop--) {
if (candidates.back()->min_bound() >
candidates.at(position_stop)->max_bound())
break;//the intervals do not overlaps anymore
if (candidates.at(position_stop)->max_bound()
<= m_options.min_points)
break; //the following candidate doesn't have enough points!
//if we reach this point, there is an overlap
// between best one and position_stop
//so request refining bound on position_stop
improved |= improve_bound(candidates.at(position_stop),
num_available_points,
m_num_subsets,
m_options.min_points);
//test again after refined
if (candidates.back()->min_bound() >
candidates.at(position_stop)->max_bound())
break;//the intervals do not overlaps anymore
}
index_worse_candidate = position_stop;
}
return candidates.back();
}
bool improve_bound(Shape *candidate,
std::size_t num_available_points,
std::size_t max_subset,
std::size_t min_points) {
if (candidate->m_nb_subset_used >= max_subset)
return false;
if (candidate->m_nb_subset_used >= m_num_subsets)
return false;
candidate->m_nb_subset_used =
(candidate->m_nb_subset_used >= m_num_subsets) ?
m_num_subsets - 1 : candidate->m_nb_subset_used;
//what it does is add another subset and recompute lower and upper bound
//the next subset to include is provided by m_nb_subset_used
std::size_t num_points_evaluated = 0;
for (std::size_t i=0;i<candidate->m_nb_subset_used;i++)
num_points_evaluated += m_available_octree_sizes[i];
// need score of new subset as well as sum of
// the score of the previous considered subset
std::size_t new_score = 0;
std::size_t new_sampled_points = 0;
do {
new_score = m_direct_octrees[candidate->m_nb_subset_used]->score(
candidate,
m_shape_index,
m_options.epsilon,
m_options.normal_threshold);
candidate->m_score += new_score;
num_points_evaluated +=
m_available_octree_sizes[candidate->m_nb_subset_used];
new_sampled_points +=
m_available_octree_sizes[candidate->m_nb_subset_used];
candidate->m_nb_subset_used++;
} while (new_sampled_points < min_points &&
candidate->m_nb_subset_used < m_num_subsets);
candidate->m_score = candidate->m_indices.size();
candidate->compute_bound(num_points_evaluated, num_available_points);
return true;
}
inline FT stop_probability(std::size_t largest_candidate, std::size_t num_pts, std::size_t num_candidates, std::size_t octree_depth) const {
return (std::min<FT>)(std::pow(FT(1) - FT(largest_candidate)
/ (FT(num_pts) * FT(octree_depth+1)
* FT(1 << (m_required_samples - 1))),
int(num_candidates)), FT(1));
}
private:
Parameters m_options;
// Traits class.
Traits m_traits;
// Octrees build on input data for quick shape evaluation and
// sample selection within an octree cell.
Direct_octree **m_direct_octrees;
Indexed_octree *m_global_octree;
std::vector<std::size_t> m_available_octree_sizes;
std::size_t m_num_subsets;
// maps index into points to assigned extracted primitive
std::vector<int> m_shape_index;
std::size_t m_num_available_points;
std::size_t m_num_total_points;
std::size_t m_required_samples;
//give the index of the subset of point i
std::vector<int> m_index_subsets;
boost::shared_ptr<std::vector<boost::shared_ptr<Shape> > > m_extracted_shapes;
std::vector<Shape *(*)()> m_shape_factories;
// iterators of input data
bool m_valid_iterators;
Input_iterator m_input_iterator_first, m_input_iterator_beyond;
Point_map m_point_pmap;
Normal_map m_normal_pmap;
};
}
}
#endif // CGAL_SHAPE_DETECTION_EFFICIENT_RANSAC_H
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