source stringlengths 3 92 | c stringlengths 26 2.25M |
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gb_utils.h | #pragma once
#include <memory>
#include <numeric>
extern "C" {
#define LAGRAPH_EXPERIMENTAL_ASK_BEFORE_BENCHMARKING 1
#include <GraphBLAS.h>
#include <LAGraph.h>
}
#include "utils.h"
//------------------------------------------------------------------------------
// ok: call a GraphBLAS method and check the result
//------------------------------------------------------------------------------
// ok(GrB_Info) is a function that processes result of a GraphBLAS method and checks the status;
// if a failure occurs, it returns the error status to the caller.
inline __attribute__((always_inline))
GrB_Info ok(GrB_Info info, bool no_value_is_error = true) {
using namespace std::string_literals;
if (info == GrB_SUCCESS || (!no_value_is_error && info == GrB_NO_VALUE)) {
return info;
} else {
throw std::runtime_error{"GraphBLAS error."};
}
}
inline __attribute__((always_inline))
std::unique_ptr<bool[]> array_of_true(size_t n) {
std::unique_ptr<bool[]> array{new bool[n]};
int nthreads = GlobalNThreads;
nthreads = std::min<size_t>(n / 4096, nthreads);
nthreads = std::max(nthreads, 1);
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (size_t i = 0; i < n; ++i) {
array[i] = true;
}
return array;
}
inline __attribute__((always_inline))
std::unique_ptr<GrB_Index[]> array_of_indices(size_t n) {
std::unique_ptr<GrB_Index[]> array{new GrB_Index[n]};
int nthreads = GlobalNThreads;
nthreads = std::min<size_t>(n / 4096, nthreads);
nthreads = std::max(nthreads, 1);
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (size_t i = 0; i < n; ++i) {
array[i] = i;
}
return array;
}
/*
* DEBUG FUNCTIONS
*/
inline void WriteOutDebugMatrix(GrB_Matrix result, const char *title = nullptr) {
if (title)
printf("%s:\n", title);
GrB_Index rows, cols;
ok(GrB_Matrix_nrows(&rows, result));
ok(GrB_Matrix_ncols(&cols, result));
double element;
for (GrB_Index i = 0; i < rows; i++) {
for (GrB_Index j = 0; j < cols; j++) {
GrB_Info info = ok(GrB_Matrix_extractElement_FP64(&element, result, i, j), false);
if (info == GrB_SUCCESS) {
printf("%g ", element);
} else if (info == GrB_NO_VALUE) {
// It is up to the user to determine what 'no value'
// means. It depends on the semiring used.
printf("- ");
} else {
printf("GraphBLAS error");
}
}
printf("\n");
}
}
inline void WriteOutDebugVector(GrB_Vector result, const char *title = nullptr) {
if (title)
printf("%s:\n", title);
GrB_Index size;
ok(GrB_Vector_size(&size, result));
double element;
for (unsigned int i = 0; i < size; i++) {
GrB_Info info = ok(GrB_Vector_extractElement_FP64(&element, result, i), false);
if (info == GrB_SUCCESS) {
if (element == UINT64_MAX) {
printf("inf ");
} else {
printf("%g ", element);
}
} else if (info == GrB_NO_VALUE) {
// It is up to the user to determine what 'no value'
// means. It depends on the semiring used.
printf("- ");
} else {
throw std::runtime_error{"GraphBLAS error."};
}
}
printf("\n");
}
namespace gbxx {
inline void GBxx_free_cpp(GrB_Type *pointer) { ok(GrB_Type_free(pointer)); }
inline void GBxx_free_cpp(GrB_UnaryOp *pointer) { ok(GrB_UnaryOp_free(pointer)); }
inline void GBxx_free_cpp(GrB_BinaryOp *pointer) { ok(GrB_BinaryOp_free(pointer)); }
inline void GBxx_free_cpp(GxB_SelectOp *pointer) { ok(GxB_SelectOp_free(pointer)); }
inline void GBxx_free_cpp(GrB_Monoid *pointer) { ok(GrB_Monoid_free(pointer)); }
inline void GBxx_free_cpp(GrB_Semiring *pointer) { ok(GrB_Semiring_free(pointer)); }
inline void GBxx_free_cpp(GxB_Scalar *pointer) { ok(GxB_Scalar_free(pointer)); }
inline void GBxx_free_cpp(GrB_Vector *pointer) { ok(GrB_Vector_free(pointer)); }
inline void GBxx_free_cpp(GrB_Matrix *pointer) { ok(GrB_Matrix_free(pointer)); }
inline void GBxx_free_cpp(GrB_Descriptor *pointer) { ok(GrB_Descriptor_free(pointer)); }
template<typename Type>
struct GBxx_deleter {
void operator()(Type b) {
GBxx_free_cpp(&b);
}
};
}
/**
* Owning smart pointer that disposes GrB object when it goes out of scope.
*
* Usage:
* Initialize using first (out) parameter of function
* GBxx_Object<GrB_Matrix> mx = GB(GrB_Matrix_new, GrB_BOOL, nrows, ncols);
*
* Initialize manually
* GrB_Matrix mx_ptr = nullptr;
* // init
* GBxx_Object<GrB_Matrix> mx{mx_ptr};
*
* When a GrB_Matrix* pointer is needed
* // binwrite might change the pointer since it uses export and import
* GrB_Matrix mx_ptr = mx.release();
* LAGraph_binwrite(&mx_ptr, "outfile.grb", nullptr);
* mx.reset(mx_ptr);
*/
template<typename Type>
using GBxx_Object = std::unique_ptr<typename std::remove_pointer<Type>::type, gbxx::GBxx_deleter<Type>>;
template<typename Type>
using GBxx_Object_shared = std::shared_ptr<typename std::remove_pointer<Type>::type>;
/**
* Initialize a GBxx_Object<Type> smart pointer using func.
*
* Usage:
* GBxx_Object<GrB_Matrix> mx = GB(GrB_Matrix_new, GrB_BOOL, nrows, ncols);
*
* @tparam Type GrB object type
* @param func A function: func(Type*, Args...)
* @param args 2nd and more parameters of func.
* @return The smart pointer initialized with func(&out, args...)
*/
template<typename Type, typename ...ArgsIn, typename ...Args>
GBxx_Object<Type> GB(GrB_Info (&func)(Type *, Args...), ArgsIn &&... args) {
Type gb_instance = nullptr;
ok(func(&gb_instance, std::forward<ArgsIn>(args)...));
return {gb_instance, {}};
}
template<typename Z, typename X>
using GBxx_unary_function = void (*)(Z *, const X *);
|
axpy_double.c | //axpy.c
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <sys/timeb.h>
#include <malloc.h>
#define N_RUNS 1000
#define N 1200
// read timer in second
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
//Create a matrix and a vector and fill with random numbers
void init(double *X, double *Y) {
for (int i = 0; i<N; i++) {
X[i] = (double)rand()/(double)(RAND_MAX/10.0);
Y[i] = (double)rand()/(double)(RAND_MAX/10.0);
}
}
//Our sum function- what it does is pretty straight-forward.
void axpy(double *X, double *Y, double a) {
#pragma omp simd
for (int i = 0; i<N; i++) {
Y[i] += a * X[i];
}
}
// Debug functions
void axpy_serial(double *X, double *Y, double a) {
for (int i = 0; i<N; i++) {
Y[i] += a * X[i];
}
}
void print_vector(double *vector) {
printf("[");
for (int i = 0; i<8; i++) {
printf("%.2f ", vector[i]);
}
puts("]");
}
double check(double *A, double *B){
double difference = 0;
for(int i = 0;i<N; i++){
difference += A[i]- B[i];
}
return difference;
}
int main(int argc, char **argv) {
//Set everything up
double *X = malloc(sizeof(double)*N);
double *Y = malloc(sizeof(double)*N);
double *Y_serial = malloc(sizeof(double)*N);
double a = 3.14;
srand(time(NULL));
init(X, Y);
for (int i = 0; i<N; i++) Y_serial[i] = Y[i];
print_vector(Y);
print_vector(X);
printf("%.2f\n", a);
puts("=\n");
double start = read_timer();
for (int i = 0; i<N_RUNS; i++)
axpy(X, Y, a);
double t = (read_timer() - start);
double start_serial = read_timer();
for (int i = 0; i<N_RUNS; i++)
axpy_serial(X, Y_serial, a);
double t_serial = (read_timer() - start_serial);
print_vector(Y);
puts("---------------------------------");
print_vector(Y_serial);
double gflops = ((2.0 * N) * N * N_RUNS) / (1.0e9 * t);
double gflops_serial = ((2.0 * N) * N * N_RUNS) / (1.0e9 * t_serial);
printf("==================================================================\n");
printf("Performance:\t\t\tRuntime (s)\t GFLOPS\n");
printf("------------------------------------------------------------------\n");
printf("AXPY (SIMD):\t\t%4f\t%4f\n", t, gflops);
printf("AXPY (Serial):\t\t%4f\t%4f\n", t_serial, gflops_serial);
printf("Correctness check: %f\n", check(Y,Y_serial));
free(X);
free(Y);
free(Y_serial);
return 0;
}
|
GB_unaryop__ainv_uint8_uint8.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__ainv_uint8_uint8
// op(A') function: GB_tran__ainv_uint8_uint8
// C type: uint8_t
// A type: uint8_t
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = -aij
#define GB_ATYPE \
uint8_t
#define GB_CTYPE \
uint8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint8_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = -x ;
// casting
#define GB_CASTING(z, aij) \
uint8_t z = (uint8_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_AINV || GxB_NO_UINT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_uint8_uint8
(
uint8_t *Cx, // Cx and Ax may be aliased
uint8_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__ainv_uint8_uint8
(
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
|
void_openmp_library.c | #include <stdio.h>
#include "void_openmp_library.h"
#include <omp.h>
#include <math.h>
void mark_void_region(char *in_void, int Ncells, int dims, float R_grid2,
int i, int j, int k, int threads)
{
int l, m, n, i1, j1, k1;
long number;
float dist2;
#pragma omp parallel for num_threads(threads) private(l,m,n,i1,j1,k1,dist2,number) firstprivate(i,j,k,Ncells,R_grid2,dims) shared(in_void)
for (l=-Ncells; l<=Ncells; l++)
{
//i1 = (i+l+dims)%dims;
i1 = i+l;
if (i1>=dims) i1 = i1-dims;
if (i1<0) i1 = i1+dims;
for (m=-Ncells; m<=Ncells; m++)
{
//j1 = (j+m+dims)%dims;
j1 = j+m;
if (j1>=dims) j1 = j1-dims;
if (j1<0) j1 = j1+dims;
for (n=-Ncells; n<=Ncells; n++)
{
//k1 = (k+n+dims)%dims;
k1 = k+n;
if (k1>=dims) k1 = k1-dims;
if (k1<0) k1 = k1+dims;
dist2 = l*l + m*m + n*n;
if (dist2<R_grid2)
{
number = dims*(i1*dims + j1) + k1;
in_void[number] = 1;
}
}
}
}
}
// This routine computes the distance between a cell and voids already identified
// if that distance is smaller than the sum of their radii then the cell can not
// host a void as it will overlap with the other void
int num_voids_around(long total_voids_found, int dims, float middle,
int i, int j, int k, float *void_radius, int *void_pos,
float R_grid, int threads)
{
int l, nearby_voids=0;
int dx, dy, dz, dist2;
#pragma omp parallel for num_threads(threads) private(l,dx,dy,dz,dist2)
for (l=0; l<total_voids_found; l++)
{
if (nearby_voids>0) continue;
dx = i - void_pos[3*l+0];
if (dx>middle) dx = dx - dims;
if (dx<-middle) dx = dx + dims;
dy = j - void_pos[3*l+1];
if (dy>middle) dy = dy - dims;
if (dy<-middle) dy = dy + dims;
dz = k - void_pos[3*l+2];
if (dz>middle) dz = dz - dims;
if (dz<-middle) dz = dz + dims;
dist2 = dx*dx + dy*dy + dz*dz;
if (dist2<((void_radius[l]+R_grid)*(void_radius[l]+R_grid)))
{
#pragma omp atomic
nearby_voids += 1;
}
}
return nearby_voids;
}
// This routine looks at the cells around a given cell to see if those belong
// to other voids
int num_voids_around2(int Ncells, int i, int j, int k, int dims,
float R_grid2, char *in_void, int threads)
{
int l, m, n, i1, j1, k1, nearby_voids=0;
long num;
float dist2;
#pragma omp parallel for num_threads(threads) private(l, m, n, i1, j1, k1, num, dist2)
for (l=-Ncells; l<=Ncells; l++)
{
if (nearby_voids>0) continue;
//i1 = (i+l+dims)%dims;
i1 = i+l;
if (i1>=dims) i1 = i1-dims;
if (i1<0) i1 = i1+dims;
for (m=-Ncells; m<=Ncells; m++)
{
//j1 = (j+m+dims)%dims;
j1 = j+m;
if (j1>=dims) j1 = j1-dims;
if (j1<0) j1 = j1+dims;
for (n=-Ncells; n<=Ncells; n++)
{
//k1 = (k+n+dims)%dims;
k1 = k+n;
if (k1>=dims) k1 = k1-dims;
if (k1<0) k1 = k1+dims;
num = dims*(i1*dims + j1) + k1;
if (in_void[num]==0) continue;
else
{
dist2 = l*l + m*m + n*n;
if (dist2<R_grid2)
{
#pragma omp atomic
nearby_voids += 1;
}
}
}
}
}
return nearby_voids;
}
|
GB_unaryop__ainv_int8_fp64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__ainv_int8_fp64
// op(A') function: GB_tran__ainv_int8_fp64
// C type: int8_t
// A type: double
// cast: int8_t cij ; GB_CAST_SIGNED(cij,aij,8)
// unaryop: cij = -aij
#define GB_ATYPE \
double
#define GB_CTYPE \
int8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = -x ;
// casting
#define GB_CASTING(z, x) \
int8_t z ; GB_CAST_SIGNED(z,x,8) ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_AINV || GxB_NO_INT8 || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_int8_fp64
(
int8_t *restrict Cx,
const double *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__ainv_int8_fp64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
luks_fmt_plug.c | /* luks.c
*
* hashkill - a hash cracking tool
* Copyright (C) 2010 Milen Rangelov <gat3way@gat3way.eu>
*
* This software is Copyright (c) 2013 Dhiru Kholia <dhiru at openwall.com>
*
* 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.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_luks;
#elif FMT_REGISTERS_H
john_register_one(&fmt_luks);
#else
#if AC_BUILT
#include "autoconfig.h"
#else
#define _LARGEFILE64_SOURCE 1
#endif
#include "jumbo.h" // large file support
#include "os.h"
#include <stdio.h>
#include <string.h>
#include <assert.h>
#include <errno.h>
#include <stdint.h>
#include <stdlib.h>
#include <sys/types.h>
#include "aes.h"
#include "sha.h"
#include "sha2.h"
#include <string.h>
#include "arch.h"
#include "johnswap.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include "memory.h"
#include "base64_convert.h"
#include "pbkdf2_hmac_sha1.h"
#include "dyna_salt.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 1
#endif
#endif
#include "memdbg.h"
#define LUKS_MAGIC_L 6
#define LUKS_CIPHERNAME_L 32
#define LUKS_CIPHERMODE_L 32
#define LUKS_HASHSPEC_L 32
#define UUID_STRING_L 40
#define LUKS_DIGESTSIZE 20
#define LUKS_SALTSIZE 32
#define LUKS_NUMKEYS 8
#define FORMAT_LABEL "LUKS"
#define FORMAT_NAME ""
#define FORMAT_TAG "$luks$"
#define FORMAT_TAG_LEN (sizeof(FORMAT_TAG)-1)
#ifdef SIMD_COEF_32
#define ALGORITHM_NAME "PBKDF2-SHA1 " SHA1_ALGORITHM_NAME
#else
#define ALGORITHM_NAME "PBKDF2-SHA1 32/" ARCH_BITS_STR
#endif
#define BENCHMARK_COMMENT ""
#define PLAINTEXT_LENGTH 125
#define BENCHMARK_LENGTH -1
#define BINARY_SIZE LUKS_DIGESTSIZE
#define BINARY_ALIGN 4
#define SALT_SIZE sizeof(struct custom_salt_LUKS*)
#define SALT_ALIGN sizeof(struct custom_salt_LUKS*)
#if SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA1
#define MAX_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA1
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
#if ARCH_LITTLE_ENDIAN
#define john_htonl(x) ((((x)>>24) & 0xffL) | (((x)>>8) & 0xff00L) | \
(((x)<<8) & 0xff0000L) | (((x)<<24) & 0xff000000L))
#define john_ntohl(x) ((((x)>>24) & 0xffL) | (((x)>>8) & 0xff00L) | \
(((x)<<8) & 0xff0000L) | (((x)<<24) & 0xff000000L))
#else
#define john_htonl(x) (x)
#define john_ntohl(x) (x)
#endif
#include "luks_insane_tests.h"
/* taken from LUKS on disk format specification */
struct luks_phdr {
char magic[LUKS_MAGIC_L];
uint16_t version;
char cipherName[LUKS_CIPHERNAME_L];
char cipherMode[LUKS_CIPHERMODE_L];
char hashSpec[LUKS_HASHSPEC_L];
uint32_t payloadOffset;
uint32_t keyBytes;
char mkDigest[LUKS_DIGESTSIZE];
char mkDigestSalt[LUKS_SALTSIZE];
uint32_t mkDigestIterations;
char uuid[UUID_STRING_L];
struct {
uint32_t active;
uint32_t passwordIterations;
char passwordSalt[LUKS_SALTSIZE];
uint32_t keyMaterialOffset;
uint32_t stripes;
} keyblock[LUKS_NUMKEYS];
};
static struct custom_salt_LUKS {
dyna_salt dsalt;
char path[8192];
int loaded;
struct luks_phdr myphdr;
int afsize;
int bestslot;
int bestiter;
unsigned char cipherbuf[1];
} *cur_salt;
static void XORblock(char *src1, char *src2, char *dst, int n)
{
int j;
for (j = 0; j < n; j++)
dst[j] = src1[j] ^ src2[j];
}
static int diffuse(unsigned char *src, unsigned char *dst, int size)
{
uint32_t i;
uint32_t IV; /* host byte order independent hash IV */
SHA_CTX ctx;
int fullblocks = (size) / 20;
int padding = size % 20;
for (i = 0; i < fullblocks; i++) {
IV = john_htonl(i);
SHA1_Init(&ctx);
SHA1_Update(&ctx, &IV, 4);
SHA1_Update(&ctx, src + 20 * i, 20);
SHA1_Final(dst + 20 * i, &ctx);
}
if (padding) {
IV = john_htonl(fullblocks);
SHA1_Init(&ctx);
SHA1_Update(&ctx, &IV, 4);
SHA1_Update(&ctx, src + 20 * fullblocks, padding);
SHA1_Final(dst + 20 * fullblocks, &ctx);
}
return 0;
}
static int AF_merge(unsigned char *src, unsigned char *dst, int afsize,
int stripes)
{
int i;
char *bufblock;
int blocksize = afsize / stripes;
bufblock = mem_calloc(1, blocksize + 20);
for (i = 0; i < (stripes - 1); i++) {
XORblock((char *) (src + (blocksize * i)), bufblock, bufblock,
blocksize);
diffuse((unsigned char *) bufblock, (unsigned char *) bufblock,
blocksize);
}
XORblock((char *) (src + blocksize * (stripes - 1)), bufblock,
(char *) dst, blocksize);
MEM_FREE(bufblock);
return 0;
}
static int af_sectors(int blocksize, int blocknumbers)
{
int af_size;
af_size = blocksize * blocknumbers;
af_size = (af_size + 511) / 512;
af_size *= 512;
return af_size;
}
static void decrypt_aes_cbc_essiv(unsigned char *src, unsigned char *dst,
unsigned char *key, int size, struct custom_salt_LUKS *cs)
{
AES_KEY aeskey;
unsigned char essiv[16];
unsigned char essivhash[32];
unsigned a;
SHA256_CTX ctx;
unsigned char sectorbuf[16];
unsigned char zeroiv[16];
// This should NEVER be done in the loop!! This never changed.
SHA256_Init(&ctx);
SHA256_Update(&ctx, key, john_ntohl(cs->myphdr.keyBytes));
SHA256_Final(essivhash, &ctx);
memset(sectorbuf, 0, 16);
memset(essiv, 0, 16);
for (a = 0; a < (size / 512); a++) {
memset(zeroiv, 0, 16);
#if ARCH_LITTLE_ENDIAN
memcpy(sectorbuf, &a, 4);
#else
{ unsigned b = JOHNSWAP(a); memcpy(sectorbuf, &b, 4); }
#endif
AES_set_encrypt_key(essivhash, 256, &aeskey);
AES_cbc_encrypt(sectorbuf, essiv, 16, &aeskey, zeroiv, AES_ENCRYPT);
AES_set_decrypt_key(key, john_ntohl(cs->myphdr.keyBytes)*8, &aeskey);
AES_cbc_encrypt((src+a*512), (dst+a*512), 512, &aeskey, essiv, AES_DECRYPT);
}
}
static int hash_plugin_parse_hash(char *filename, unsigned char **cp, int afsize, int is_critical)
{
FILE *myfile;
int readbytes;
myfile = jtr_fopen(filename, "rb");
if (!myfile) {
fprintf(stderr, "\n%s : %s!\n", filename, strerror(errno));
return -1;
}
// can this go over 4gb?
*cp =(unsigned char*) mem_calloc(1, afsize + 1);
if (!*cp)
goto bad;
// printf(">>> %d\n", cs->afsize);
readbytes = fread(*cp, afsize, 1, myfile);
if (readbytes < 0) {
fprintf(stderr, "%s : unable to read required data\n",
filename);
goto bad;
}
fclose(myfile);
return afsize+1;
bad:
fclose(myfile);
if (is_critical) {
fprintf(stderr, "\nLUKS plug-in is unable to continue due to errors!\n");
error();
}
return -1;
}
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static uint32_t (*crypt_out)[BINARY_SIZE / sizeof(uint32_t)];
static void init(struct fmt_main *self)
{
static int warned = 0;
// extern struct fmt_main fmt_luks;
#ifdef _OPENMP
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(sizeof(*saved_key), self->params.max_keys_per_crypt);
crypt_out = mem_calloc(sizeof(*crypt_out), self->params.max_keys_per_crypt);
/*
* LUKS format will need to be redesigned to address the issues mentioned in
* https://github.com/magnumripper/JohnTheRipper/issues/557.
* This will require a change in john's hash representation for LUKS format.
* The redesign will happen after the next official jumbo release.
* To avoid having to support the current LUKS hash representation forever,
* just print a warning that the hash representation will change in future releases.
*
* So far, no "official" jumbo release supports the LUKS format, currently only
* users of bleeding-jumbo may have used LUKS format. These users should be able
* to re-run luks2john and retry the passwords that have been stored for the current LUKS hashes
* once the redesign of john's LUKS format implementation has been completed.)
*/
if (!options.listconf && !(options.flags & FLG_TEST_CHK) && warned++ == 0) {
fprintf(stderr,
"WARNING, LUKS format hash representation will change in future releases,\n"
"see doc/README.LUKS\n"); // FIXME: address github issue #557 after 1.8.0-jumbo-1
fflush(stderr);
}
// This printf will 'help' debug a system that truncates that monster hash, but does not cause compiler to die.
// printf("length=%d end=%s\n", strlen(fmt_luks.params.tests[0].ciphertext), &((fmt_luks.params.tests[0].ciphertext)[strlen(fmt_luks.params.tests[0].ciphertext)-30]));
#ifdef _MSC_VER
LUKS_test_fixup();
#endif
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy;
char *keeptr;
char *p, *q;
unsigned char *buf;
int is_inlined, i, bestslot=0;
int res;
int afsize;
unsigned char *out;
struct custom_salt_LUKS cs;
uint64_t keybytes, stripes;
unsigned int bestiter = 0xFFFFFFFF;
out = (unsigned char*)&cs.myphdr;
if (strncmp(ciphertext, FORMAT_TAG, FORMAT_TAG_LEN))
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += FORMAT_TAG_LEN;
if ((p = strtokm(ctcopy, "$")) == NULL) /* is_inlined */
goto err;
if (!isdec(p))
goto err;
is_inlined = atoi(p);
if ((p = strtokm(NULL, "$")) == NULL)
goto err;
if (!isdec(p))
goto err;
afsize = atoi(p);
if (afsize != sizeof(struct luks_phdr))
goto err;
if ((p = strtokm(NULL, "$")) == NULL)
goto err;
if (afsize != strlen(p) / 2)
goto err;
if (!ishexlc(p))
goto err;
for (i = 0; i < afsize; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) | atoi16[ARCH_INDEX(p[1])];
p += 2;
}
keybytes = john_ntohl(cs.myphdr.keyBytes);
for (i = 0; i < LUKS_NUMKEYS; i++) {
if ((john_ntohl(cs.myphdr.keyblock[i].passwordIterations) < bestiter)
&& (john_ntohl(cs.myphdr.keyblock[i].passwordIterations) > 1) &&
(john_ntohl(cs.myphdr.keyblock[i].active) == 0x00ac71f3)) {
bestslot = i;
bestiter =
john_ntohl(cs.myphdr.keyblock[i].passwordIterations);
}
}
stripes = john_ntohl(cs.myphdr.keyblock[bestslot].stripes);
if ( (uint64_t)(john_ntohl(cs.myphdr.keyBytes)*john_ntohl(cs.myphdr.keyblock[bestslot].stripes)) !=
keybytes*stripes)
goto err;
if ((p = strtokm(NULL, "$")) == NULL)
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res != keybytes*stripes)
goto err;
if (is_inlined) {
if ((p = strtokm(NULL, "$")) == NULL)
goto err;
if ((p = strtokm(NULL, "$")) == NULL)
goto err;
if (strlen(p) != LUKS_DIGESTSIZE * 2)
goto err;
if (!ishexlc(p))
goto err;
}
else {
if ((p = strtokm(NULL, "$")) == NULL) /* LUKS file */
goto err;
if ((p = strtokm(NULL, "$")) == NULL) /* dump file */
goto err;
q = p;
if ((p = strtokm(NULL, "$")) == NULL) /* mkDigest */
goto err;
if (strlen(p) != LUKS_DIGESTSIZE * 2)
goto err;
if (!ishexlc(p))
goto err;
/* more tests */
if (hash_plugin_parse_hash(q, &buf, afsize, 0) == -1) {
return 0;
}
MEM_FREE(buf);
}
MEM_FREE(keeptr);
return 1;
err:
MEM_FREE(keeptr);
return 0;
}
static void *get_salt(char *ciphertext)
{
char *ctcopy = strdup(ciphertext);
char *keeptr = ctcopy;
char *p;
int is_inlined;
int res;
int i;
int cnt;
unsigned char *out;
unsigned char *buf;
struct custom_salt_LUKS cs, *psalt;
static unsigned char *ptr;
unsigned int bestiter = 0xFFFFFFFF;
size_t size = 0;
ctcopy += FORMAT_TAG_LEN;
if (!ptr) ptr = mem_alloc_tiny(sizeof(struct custom_salt*),sizeof(struct custom_salt*));
memset(&cs, 0, sizeof(cs));
out = (unsigned char*)&cs.myphdr;
p = strtokm(ctcopy, "$");
is_inlined = atoi(p);
/* common handling */
p = strtokm(NULL, "$");
res = atoi(p);
assert(res == sizeof(struct luks_phdr));
p = strtokm(NULL, "$");
for (i = 0; i < res; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) | atoi16[ARCH_INDEX(p[1])];
p += 2;
}
p = strtokm(NULL, "$");
res = atoi(p);
if (is_inlined) {
p = strtokm(NULL, "$");
size = strlen(p) / 4 * 3 + 1;
buf = mem_calloc(1, size+4);
base64_convert(p, e_b64_mime, strlen(p), buf, e_b64_raw, size+4, flg_Base64_NO_FLAGS, 0);
cs.afsize = size;
}
else {
cs.afsize = res;
p = strtokm(NULL, "$");
p = strtokm(NULL, "$");
strcpy(cs.path, p);
size = hash_plugin_parse_hash(cs.path, &buf, cs.afsize, 1);
}
for (cnt = 0; cnt < LUKS_NUMKEYS; cnt++) {
if ((john_ntohl(cs.myphdr.keyblock[cnt].passwordIterations) < bestiter)
&& (john_ntohl(cs.myphdr.keyblock[cnt].passwordIterations) > 1) &&
(john_ntohl(cs.myphdr.keyblock[cnt].active) == 0x00ac71f3)) {
cs.bestslot = cnt;
cs.bestiter =
john_ntohl(cs.myphdr.keyblock[cnt].passwordIterations);
}
}
cs.afsize = af_sectors(john_ntohl(cs.myphdr.keyBytes),
john_ntohl(cs.myphdr.keyblock[cs.bestslot].stripes));
assert(res == cs.afsize);
MEM_FREE(keeptr);
psalt = (struct custom_salt_LUKS*)mem_alloc_tiny(sizeof(struct custom_salt_LUKS)+size, 4);
memcpy(psalt, &cs, sizeof(cs));
memcpy(psalt->cipherbuf, buf, size);
MEM_FREE(buf);
psalt->dsalt.salt_alloc_needs_free = 0;
// set the JtR core linkage stuff for this dyna_salt
psalt->dsalt.salt_cmp_offset = SALT_CMP_OFF(struct custom_salt_LUKS, myphdr);
psalt->dsalt.salt_cmp_size = SALT_CMP_SIZE(struct custom_salt_LUKS, myphdr, cipherbuf, size);
memcpy(ptr, &psalt, sizeof(struct custom_salt*));
return (void*)ptr;
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[LUKS_DIGESTSIZE];
ARCH_WORD dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
p = strrchr(ciphertext, '$') + 1;
for (i = 0; i < LUKS_DIGESTSIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static void set_salt(void *salt)
{
cur_salt = *(struct custom_salt_LUKS **)salt;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
{
unsigned char *af_decrypted = (unsigned char *)mem_alloc(cur_salt->afsize + 20);
int i, iterations = cur_salt->bestiter;
int dklen = john_ntohl(cur_salt->myphdr.keyBytes);
uint32_t keycandidate[MAX_KEYS_PER_CRYPT][256/4];
uint32_t masterkeycandidate[MAX_KEYS_PER_CRYPT][256/4];
#ifdef SIMD_COEF_32
int lens[MAX_KEYS_PER_CRYPT];
unsigned char *pin[MAX_KEYS_PER_CRYPT];
union {
uint32_t *pout[MAX_KEYS_PER_CRYPT];
unsigned char *poutc;
} x;
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
lens[i] = strlen(saved_key[index+i]);
pin[i] = (unsigned char*)saved_key[index+i];
x.pout[i] = keycandidate[i];
}
pbkdf2_sha1_sse((const unsigned char **)pin, lens,
(const unsigned char*)(cur_salt->myphdr.keyblock[cur_salt->bestslot].passwordSalt), LUKS_SALTSIZE,
iterations, &(x.poutc),
dklen, 0);
#else
pbkdf2_sha1((const unsigned char *)saved_key[index], strlen(saved_key[index]),
(const unsigned char*)(cur_salt->myphdr.keyblock[cur_salt->bestslot].passwordSalt), LUKS_SALTSIZE,
iterations, (unsigned char*)keycandidate[0], dklen, 0);
#endif
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
// Decrypt the blocksi
decrypt_aes_cbc_essiv(cur_salt->cipherbuf, af_decrypted, (unsigned char*)keycandidate[i], cur_salt->afsize, cur_salt);
// AFMerge the blocks
AF_merge(af_decrypted, (unsigned char*)masterkeycandidate[i], cur_salt->afsize,
john_ntohl(cur_salt->myphdr.keyblock[cur_salt->bestslot].stripes));
}
// pbkdf2 again
#ifdef SIMD_COEF_32
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
lens[i] = john_ntohl(cur_salt->myphdr.keyBytes);
pin[i] = (unsigned char*)masterkeycandidate[i];
x.pout[i] = crypt_out[index+i];
}
pbkdf2_sha1_sse((const unsigned char **)pin, lens,
(const unsigned char*)cur_salt->myphdr.mkDigestSalt, LUKS_SALTSIZE,
john_ntohl(cur_salt->myphdr.mkDigestIterations), &(x.poutc),
LUKS_DIGESTSIZE, 0);
#else
pbkdf2_sha1((unsigned char*)masterkeycandidate[0], john_ntohl(cur_salt->myphdr.keyBytes),
(const unsigned char*)cur_salt->myphdr.mkDigestSalt, LUKS_SALTSIZE,
john_ntohl(cur_salt->myphdr.mkDigestIterations),
(unsigned char*)crypt_out[index], LUKS_DIGESTSIZE, 0);
#endif
MEM_FREE(af_decrypted);
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
for (; index < count; index++)
if (!memcmp(binary, crypt_out[index], LUKS_DIGESTSIZE))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], LUKS_DIGESTSIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void luks_set_key(char *key, int index)
{
strnzcpy(saved_key[index], key, sizeof(*saved_key));
}
static char *get_key(int index)
{
return saved_key[index];
}
struct fmt_main fmt_luks = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP | FMT_DYNA_SALT | FMT_HUGE_INPUT,
{ NULL },
{ FORMAT_TAG },
luks_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_dyna_salt_hash,
NULL,
set_salt,
luks_set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
sapB_fmt_plug.c | /*
* this is a SAP-BCODE plugin for john the ripper.
* tested on linux/x86 only, rest is up to you.. at least, someone did the reversing :-)
*
* please note: this code is in a "works for me"-state, feel free to modify/speed up/clean/whatever it...
*
* (c) x7d8 sap loverz, public domain, btw
* cheers: see test-cases.
*
* Heavily modified by magnum 2011-2012 for performance and for SIMD, OMP and
* encodings support. Copyright (c) 2011, 2012 magnum, and it is hereby released
* to the general public under the following terms: Redistribution and use in
* source and binary forms, with or without modification, are permitted.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_sapB;
#elif FMT_REGISTERS_H
john_register_one(&fmt_sapB);
#else
#include <string.h>
#include <ctype.h>
#include "arch.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "options.h"
#include "unicode.h"
#include "md5.h"
#define FORMAT_LABEL "sapb"
#define FORMAT_NAME "SAP CODVN B (BCODE)"
#ifdef SIMD_COEF_32
#define NBKEYS (SIMD_COEF_32 * SIMD_PARA_MD5)
#endif
#include "simd-intrinsics.h"
#define ALGORITHM_NAME "MD5 " MD5_ALGORITHM_NAME
#if defined(_OPENMP)
#include <omp.h>
static unsigned int omp_t = 1;
#ifdef SIMD_COEF_32
#ifndef OMP_SCALE
#define OMP_SCALE 512 // tuned on K8-dual HT.
#endif
#else
#ifndef OMP_SCALE
#define OMP_SCALE 2048
#endif
#endif
#endif
#include "memdbg.h"
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define SALT_FIELD_LENGTH 40 /* the max listed username length */
#define SALT_LENGTH 12 /* the max used username length */
#define PLAINTEXT_LENGTH 8 /* passwordlength max 8 chars */
#define CIPHERTEXT_LENGTH SALT_FIELD_LENGTH + 1 + 16 /* SALT + $ + 2x8 bytes for BCODE-representation */
#define BINARY_SIZE 8 /* half of md5 */
#define BINARY_ALIGN 4
#define SALT_SIZE sizeof(struct saltstruct)
#define SALT_ALIGN 4
#ifdef SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT NBKEYS
#define MAX_KEYS_PER_CRYPT NBKEYS
#define GETPOS(i, index) ( (index&(SIMD_COEF_32-1))*4 + ((i)&(0xffffffff-3))*SIMD_COEF_32 + ((i)&3) + (unsigned int)index/SIMD_COEF_32*16*SIMD_COEF_32*4 )
#define GETOUTPOS(i, index) ( (index&(SIMD_COEF_32-1))*4 + ((i)&(0xffffffff-3))*SIMD_COEF_32 + ((i)&3) + (unsigned int)index/SIMD_COEF_32*16*SIMD_COEF_32)
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
#define BCODE_ARRAY_LENGTH 3*16
static const unsigned char bcodeArr[BCODE_ARRAY_LENGTH] =
{ 0x14, 0x77, 0xf3, 0xd4, 0xbb, 0x71, 0x23, 0xd0, 0x03, 0xff, 0x47, 0x93, 0x55, 0xaa, 0x66, 0x91,
0xf2, 0x88, 0x6b, 0x99, 0xbf, 0xcb, 0x32, 0x1a, 0x19, 0xd9, 0xa7, 0x82, 0x22, 0x49, 0xa2, 0x51,
0xe2, 0xb7, 0x33, 0x71, 0x8b, 0x9f, 0x5d, 0x01, 0x44, 0x70, 0xae, 0x11, 0xef, 0x28, 0xf0, 0x0d };
/* char transition table for BCODE (from disp+work) */
static const unsigned char transtable[] =
{ 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0x3f, 0x40, 0x41, 0x50, 0x43, 0x44, 0x45, 0x4b, 0x47, 0x48, 0x4d, 0x4e, 0x54, 0x51, 0x53, 0x46,
0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x56, 0x55, 0x5c, 0x49, 0x5d, 0x4a,
0x42, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x58, 0x5b, 0x59, 0xff, 0x52,
//0x4c, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f, 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29,
0x4c, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
//0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f, 0x30, 0x31, 0x32, 0x33, 0x34, 0x57, 0x5e, 0x5a, 0x4f, 0xff
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x57, 0x5e, 0x5a, 0x4f, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff };
// For backwards compatibility, we must support salts padded with spaces to a field width of 40
static struct fmt_tests tests[] = {
{"DDIC$C94E2F7DD0178374", "DDIC"},
// While "X" and "U" are not valid SAP passwords, they might still occur
// if passwords longer than 8 characters are allowed, and if the CODVN B
// password is calculated and stored in addition to the CODVN F or
// CODVN H password.
// Although a user picking "X Y" as a password is probably
// not very likely.
{"F $E3A65AAA9676060F", "X"},
// the 9 character password CYBERPUNK will be truncated to CYBERPUN
{"JOHNNY $7F7207932E4DE471", "CYBERPUNK"},
{"VAN $487A2A40A7BA2258", "HAUSER"},
{"ROOT $8366A4E9E6B72CB0", "KID"},
{"MAN $9F48E7CE5B184D2E", "U"},
// "-------" is not a valid SAP password (first 3 characters are
// identical)
// ("^^^^^^^" would be allowed, since "^" also replaces arbitrary
// non-ascii characters, as far as the CODVN B hash algorithm is
// concerned)
// {"------------$2CF190AF13E858A2", "-------"},
{"------------$058DE95926E00F32", "--+----"},
{"SAP*$7016BFF7C5472F1B", "MASTER"},
// password DOLLAR$$$--- will be truncated to DOLLAR$$
{"DOLLAR$$$---$C3413C498C48EB67", "DOLLAR$$$---"},
// Trigger suspected over-run of sum20. We do behave like SAP so it's
// not a problem.
{"12850413$1470EF2F683C956D", "46813230"},
// document some known hash collisions:
// 4 different 8 character passwords for the same hash:
{"EARLYWATCH$E786D382B2C88932", "VXFNI07+"},
{"EARLYWATCH$E786D382B2C88932", "VXFNI07<"},
{"EARLYWATCH$E786D382B2C88932", "VXFNI07V"},
{"EARLYWATCH$E786D382B2C88932", "VXFNI07W"},
{"EARLYWATCH$C1490E1C2AC53FFB", "COCQP098"},
{"EARLYWATCH$C1490E1C2AC53FFB", "COCQP09E"},
{"EARLYWATCH$C1490E1C2AC53FFB", "COCQP09J"},
{"EARLYWATCH$C1490E1C2AC53FFB", "COCQP09V"},
// collision of a 7 character password and 2 8 character passwords:
{"EARLYWATCH$5BCDD8FB7B827A26", "VAUBS04"},
{"EARLYWATCH$5BCDD8FB7B827A26", "VAUBS04*"},
{"EARLYWATCH$5BCDD8FB7B827A26", "VAUBS04H"},
// collision even with a 4 character user name:
{"DDIC$74DB83791A028420", "DFQEX12"},
{"DDIC$74DB83791A028420", "DFQEX12."},
{NULL}
};
#define TEMP_ARRAY_SIZE 4*16
#define DEFAULT_OFFSET 15
static char (*saved_plain)[PLAINTEXT_LENGTH + 1];
static int (*keyLen);
#ifdef SIMD_COEF_32
static unsigned char (*saved_key);
static unsigned char (*interm_key);
static unsigned char (*crypt_key);
static unsigned int (*clean_pos);
#else
static uint32_t (*crypt_key)[BINARY_SIZE/sizeof(uint32_t)];
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
#endif
static struct saltstruct {
unsigned int l;
unsigned char s[SALT_LENGTH];
} *cur_salt;
static void init(struct fmt_main *self)
{
static int warned = 0;
if (options.target_enc == UTF_8 && !options.listconf && warned++ == 0)
fprintf(stderr, "Warning: SAP-B format should never be UTF-8.\nUse --target-encoding=iso-8859-1 or whatever is applicable.\n");
#if defined (_OPENMP)
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt = (omp_t * MIN_KEYS_PER_CRYPT);
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt = (omp_t * MAX_KEYS_PER_CRYPT);
#endif
#ifdef SIMD_COEF_32
saved_key = mem_calloc_align(self->params.max_keys_per_crypt,
64, MEM_ALIGN_SIMD);
interm_key = mem_calloc_align(self->params.max_keys_per_crypt,
64, MEM_ALIGN_SIMD);
clean_pos = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*clean_pos));
crypt_key = mem_calloc_align(self->params.max_keys_per_crypt,
16, MEM_ALIGN_SIMD);
#else
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
crypt_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_key));
#endif
saved_plain = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_plain) );
keyLen = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*keyLen));
}
static void done(void)
{
MEM_FREE(keyLen);
MEM_FREE(saved_plain);
MEM_FREE(crypt_key);
#ifdef SIMD_COEF_32
MEM_FREE(clean_pos);
MEM_FREE(interm_key);
#endif
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
int i;
char *p;
if (!ciphertext) return 0;
p = strrchr(ciphertext, '$');
if (!p) return 0;
if (p - ciphertext > SALT_FIELD_LENGTH) return 0;
if (strlen(&p[1]) != BINARY_SIZE * 2) return 0;
for (i = 0; i < p - ciphertext; i++) {
// even those lower case non-ascii characters with a
// corresponding upper case character could be rejected
if (ciphertext[i] >= 'a' && ciphertext[i] <= 'z') return 0;
// SAP user names cannot be longer than 12 characters
if (i >= SALT_LENGTH && ciphertext[i] != ' ') return 0;
}
// SAP user name cannot start with ! or ?
if (ciphertext[0] == '!' || ciphertext[0] == '?') return 0;
// the user name must not simply be spaces, or empty
for (i = 0; i < p - ciphertext; ++i) {
if (ciphertext[i] == ' ')
continue;
break;
}
if (ciphertext[i] == '$') return 0;
p++;
// SAP and sap2john.pl always use upper case A-F for hashes,
// so don't allow a-f
for (i = 0; i < BINARY_SIZE * 2; i++)
if (!(((p[i]>='0' && p[i]<='9')) ||
((p[i]>='A' && p[i]<='F')) ))
return 0;
return 1;
}
static void set_salt(void *salt)
{
cur_salt = salt;
}
static void set_key(char *key, int index)
{
memcpy(saved_plain[index], key, PLAINTEXT_LENGTH);
keyLen[index] = -1;
}
static char *get_key(int index)
{
int i;
// Work-around for new self-test.
if (keyLen[index] == -1)
keyLen[index] = strlen(saved_plain[index]);
for (i = 0; i < keyLen[index]; i++) {
if (saved_plain[index][i] >= 'a' && saved_plain[index][i] <= 'z')
saved_plain[index][i] ^= 0x20;
else if (saved_plain[index][i] & 0x80)
saved_plain[index][i] = '^';
}
saved_plain[index][i] = 0;
return saved_plain[index];
}
static int cmp_all(void *binary, int count) {
#ifdef SIMD_COEF_32
unsigned int x,y=0;
#ifdef _OPENMP
for (;y<SIMD_PARA_MD5*omp_t;y++)
#else
for (;y<SIMD_PARA_MD5;y++)
#endif
for (x = 0; x < SIMD_COEF_32; x++)
{
if ( ((uint32_t*)binary)[0] == ((uint32_t*)crypt_key)[y*SIMD_COEF_32*4+x] )
return 1;
}
return 0;
#else
int index;
for (index = 0; index < count; index++)
if (!memcmp(binary, crypt_key[index], BINARY_SIZE))
return 1;
return 0;
#endif
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static int cmp_one(void * binary, int index)
{
#ifdef SIMD_COEF_32
unsigned int i,x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
for (i=0;i<(BINARY_SIZE/4);i++)
if ( ((uint32_t*)binary)[i] != ((uint32_t*)crypt_key)[y*SIMD_COEF_32*4+i*SIMD_COEF_32+x] )
return 0;
return 1;
#else
return !memcmp(binary, crypt_key[index], BINARY_SIZE);
#endif
}
static unsigned int walld0rf_magic(const int index, const unsigned char *temp_key, unsigned char *destArray)
{
unsigned int sum20, I1, I2, I3;
const int len = keyLen[index];
#ifdef SIMD_COEF_32
#define key(i) saved_key[GETPOS(i, index)]
#else
#define key(i) saved_key[index][i]
#endif
// some magic in between....yes, byte 4 is ignored...
// sum20 will be between 0x20 and 0x2F
//sum20 = temp_key[5]%4 + temp_key[3]%4 + temp_key[2]%4 + temp_key[1]%4 + temp_key[0]%4 + 0x20;
sum20 = *(unsigned int*)temp_key & 0x03030303;
sum20 = (unsigned char)((sum20 >> 24) + (sum20 >> 16) +
(sum20 >> 8) + sum20);
sum20 += (temp_key[5] & 3) | 0x20;
// Some unrolling
if (temp_key[15] & 0x01) {
destArray[0] = bcodeArr[47];
I2 = 1;
}
else {
I2 = 0;
}
destArray[I2++] = key(0);
destArray[I2++] = cur_salt->s[0];
destArray[I2] = bcodeArr[I2-2];
destArray[++I2] = 0; I2++;
if ( len >= 6) {
I1 = 6;
if ( cur_salt->l >= 4 ) {
// key >= 6 bytes, salt >= 4 bytes
if (temp_key[14] & 0x01)
destArray[I2++] = bcodeArr[46];
destArray[I2++] = key(1);
destArray[I2++] = cur_salt->s[1];
destArray[I2] = bcodeArr[I2-4];
destArray[++I2] = 0; I2++;
if (temp_key[13] & 0x01)
destArray[I2++] = bcodeArr[45];
destArray[I2++] = key(2);
destArray[I2++] = cur_salt->s[2];
destArray[I2] = bcodeArr[I2-6];
destArray[++I2] = 0; I2++;
if (temp_key[12] & 0x01)
destArray[I2++] = bcodeArr[44];
destArray[I2++] = key(3);
destArray[I2++] = cur_salt->s[3];
destArray[I2] = bcodeArr[I2-8];
destArray[++I2] = 0; I2++;
I3 = 4;
if (temp_key[DEFAULT_OFFSET - 4] & 0x01)
destArray[I2++] = bcodeArr[43];
destArray[I2++] = key(4);
if (4 < cur_salt->l)
destArray[I2++] = cur_salt->s[I3++];
destArray[I2] = bcodeArr[I2 - 5 - I3];
destArray[++I2] = 0; I2++;
if (temp_key[DEFAULT_OFFSET - 5] & 0x01)
destArray[I2++] = bcodeArr[42];
destArray[I2++] = key(5);
if (5 < cur_salt->l)
destArray[I2++] = cur_salt->s[I3++];
destArray[I2] = bcodeArr[I2 - 6 - I3];
destArray[++I2] = 0; I2++;
if (6 < len) {
if (temp_key[DEFAULT_OFFSET - 6] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - 7];
destArray[I2++] = key(6); I1++;
}
if (6 < cur_salt->l)
destArray[I2++] = cur_salt->s[I3++];
} else {
// Key >= 6 bytes, salt < 4 Bytes
I3 = 1;
if (temp_key[DEFAULT_OFFSET - 1] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - 2];
destArray[I2++] = key(1);
if (1 < cur_salt->l)
destArray[I2++] = cur_salt->s[I3++];
destArray[I2] = bcodeArr[I2 - 2 - I3];
destArray[++I2] = 0; I2++;
if (temp_key[DEFAULT_OFFSET - 2] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - 3];
destArray[I2++] = key(2);
if (2 < cur_salt->l)
destArray[I2++] = cur_salt->s[I3++];
destArray[I2] = bcodeArr[I2 - 3 - I3];
destArray[++I2] = 0; I2++;
if (temp_key[DEFAULT_OFFSET - 3] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - 4];
destArray[I2++] = key(3);
destArray[I2] = bcodeArr[I2 - 4 - I3];
destArray[++I2] = 0; I2++;
if (temp_key[DEFAULT_OFFSET - 4] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - 5];
destArray[I2++] = key(4);
destArray[I2] = bcodeArr[I2 - 5 - I3];
destArray[++I2] = 0; I2++;
if (temp_key[DEFAULT_OFFSET - 5] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - 6];
destArray[I2++] = key(5);
destArray[I2] = bcodeArr[I2 - 6 - I3];
destArray[++I2] = 0; I2++;
if (6 < len) {
if (temp_key[DEFAULT_OFFSET - 6] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - 7];
destArray[I2++] = key(6); I1++;
}
}
destArray[I2] = bcodeArr[I2 - I1 - I3];
destArray[++I2] = 0; I2++;
} else {
I1 = I3 = 1;
}
// End of unrolling. Now the remaining bytes
while(I2 < sum20) {
if (I1 < len) {
if (temp_key[DEFAULT_OFFSET - I1] & 0x01)
destArray[I2++] = bcodeArr[BCODE_ARRAY_LENGTH - I1 - 1];
destArray[I2++] = key(I1); I1++;
}
if (I3 < cur_salt->l)
destArray[I2++] = cur_salt->s[I3++];
destArray[I2] = bcodeArr[I2 - I1 - I3];
destArray[++I2] = 0; I2++;
}
#if SIMD_COEF_32
// This may be unaligned here, but after the aligned vector buffer
// transfer, we will have no junk left from loop overrun
*(unsigned int*)&destArray[sum20] = 0x00000080;
#endif
return sum20;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
#if SIMD_COEF_32
#if defined(_OPENMP)
int t;
#pragma omp parallel for
for (t = 0; t < omp_t; t++)
#define ti (t*NBKEYS+index)
#else
#define t 0
#define ti index
#endif
{
unsigned int index, i;
for (index = 0; index < NBKEYS; index++) {
int len;
if ((len = keyLen[ti]) < 0) {
unsigned char *key;
// Load key into vector buffer
len = 0;
key = (unsigned char*)saved_plain[ti];
while (*key)
{
saved_key[GETPOS(len, ti)] =
transtable[*key++];
len++;
}
// Back-out of trailing spaces
while(len && *--key == ' ')
{
len--;
saved_key[GETPOS(len, ti)] = 0;
}
keyLen[ti] = len;
}
// Prepend the salt
for (i = 0; i < cur_salt->l; i++)
saved_key[GETPOS((len + i), ti)] =
cur_salt->s[i];
saved_key[GETPOS((len + i), ti)] = 0x80;
((unsigned int *)saved_key)[14*SIMD_COEF_32 + (ti&(SIMD_COEF_32-1)) + (unsigned int)ti/SIMD_COEF_32*16*SIMD_COEF_32] = (len + i) << 3;
// Clean rest of buffer
for (i = i + len + 1; i <= clean_pos[ti]; i++)
saved_key[GETPOS(i, ti)] = 0;
clean_pos[ti] = len + cur_salt->l;
}
SIMDmd5body(&saved_key[t*NBKEYS*64],
(unsigned int*)&crypt_key[t*NBKEYS*16], NULL, SSEi_MIXED_IN);
for (i = 0; i < SIMD_PARA_MD5; i++)
memset(&interm_key[t*64*NBKEYS+i*64*SIMD_COEF_32+32*SIMD_COEF_32], 0, 32*SIMD_COEF_32);
for (index = 0; index < NBKEYS; index++) {
unsigned int sum20;
unsigned char temp_key[BINARY_SIZE*2];
uint32_t destArray[TEMP_ARRAY_SIZE / 4];
const unsigned int *sw;
unsigned int *dw;
// Temporary flat copy of crypt
sw = (unsigned int*)&crypt_key[GETOUTPOS(0, ti)];
dw = (unsigned int*)temp_key;
for (i = 0; i < 4; i++, sw += SIMD_COEF_32)
*dw++ = *sw;
//now: walld0rf-magic [tm], (c), <g>
sum20 = walld0rf_magic(ti, temp_key, (unsigned char*)destArray);
// Vectorize a word at a time
dw = (unsigned int*)&interm_key[GETPOS(0, ti)];
for (i = 0;i <= sum20; i += 4, dw += SIMD_COEF_32)
*dw = destArray[i >> 2];
((unsigned int *)interm_key)[14*SIMD_COEF_32 + (ti&(SIMD_COEF_32-1)) + (unsigned int)ti/SIMD_COEF_32*16*SIMD_COEF_32] = sum20 << 3;
}
SIMDmd5body(&interm_key[t*NBKEYS*64],
(unsigned int*)&crypt_key[t*NBKEYS*16], NULL, SSEi_MIXED_IN);
for (index = 0; index < NBKEYS; index++) {
*(uint32_t*)&crypt_key[GETOUTPOS(0, ti)] ^= *(uint32_t*)&crypt_key[GETOUTPOS(8, ti)];
*(uint32_t*)&crypt_key[GETOUTPOS(4, ti)] ^= *(uint32_t*)&crypt_key[GETOUTPOS(12, ti)];
}
}
#else
#ifdef _OPENMP
int t;
#pragma omp parallel for
for (t = 0; t < count; t++)
#else
#define t 0
#endif
{
unsigned char temp_key[BINARY_SIZE*2];
unsigned char final_key[BINARY_SIZE*2];
unsigned int i;
unsigned int sum20;
unsigned char destArray[TEMP_ARRAY_SIZE];
MD5_CTX ctx;
if (keyLen[t] < 0) {
keyLen[t] = strlen(saved_plain[t]);
// Back-out of trailing spaces
while ( saved_plain[t][keyLen[t] - 1] == ' ' )
{
if (keyLen[t] == 0) break;
saved_plain[t][--keyLen[t]] = 0;
}
for (i = 0; i < keyLen[t]; i++)
saved_key[t][i] = transtable[ARCH_INDEX(saved_plain[t][i])];
}
MD5_Init(&ctx);
MD5_Update(&ctx, saved_key[t], keyLen[t]);
MD5_Update(&ctx, cur_salt->s, cur_salt->l);
MD5_Final(temp_key,&ctx);
//now: walld0rf-magic [tm], (c), <g>
sum20 = walld0rf_magic(t, temp_key, destArray);
MD5_Init(&ctx);
MD5_Update(&ctx, destArray, sum20);
MD5_Final(final_key, &ctx);
for (i = 0; i < 8; i++)
((char*)crypt_key[t])[i] = final_key[i + 8] ^ final_key[i];
}
#endif
return count;
#undef t
#undef ti
}
static void *get_binary(char *ciphertext)
{
static uint32_t binary[BINARY_SIZE / sizeof(uint32_t)];
char *realcipher = (char*)binary;
int i;
char* newCiphertextPointer;
newCiphertextPointer = strrchr(ciphertext, '$') + 1;
for (i=0;i<BINARY_SIZE;i++)
{
realcipher[i] = atoi16[ARCH_INDEX(newCiphertextPointer[i*2])]*16 + atoi16[ARCH_INDEX(newCiphertextPointer[i*2+1])];
}
return (void *)realcipher;
}
// Salt is already trimmed and 8-bit converted in split()
static void *get_salt(char *ciphertext)
{
int i;
static struct saltstruct out;
/* We don't care about trailing garbage, but loader does */
memset(out.s, 0, sizeof(out.s));
out.l = (int)(strrchr(ciphertext, '$') - ciphertext);
for (i = 0; i < out.l; ++i)
out.s[i] = transtable[ARCH_INDEX(ciphertext[i])];
return &out;
}
// Here, we remove any salt padding, trim it to 12 bytes
// and finally replace any 8-bit character with '^'
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[CIPHERTEXT_LENGTH + 1];
char *p;
int i;
p = strrchr(ciphertext, '$');
i = (int)(p - ciphertext) - 1;
while (ciphertext[i] == ' ' || i >= SALT_LENGTH)
i--;
i++;
memset(out, 0, sizeof(out));
memcpy(out, ciphertext, i);
strnzcpy(&out[i], p, CIPHERTEXT_LENGTH + 1 - i);
p = &out[i];
while(--p >= out)
if (*p & 0x80)
*p = '^';
return out;
}
#ifdef SIMD_COEF_32
#define HASH_OFFSET (index&(SIMD_COEF_32-1))+((unsigned int)index/SIMD_COEF_32)*SIMD_COEF_32*4
static int get_hash_0(int index) { return ((uint32_t *)crypt_key)[HASH_OFFSET] & PH_MASK_0; }
static int get_hash_1(int index) { return ((uint32_t *)crypt_key)[HASH_OFFSET] & PH_MASK_1; }
static int get_hash_2(int index) { return ((uint32_t *)crypt_key)[HASH_OFFSET] & PH_MASK_2; }
static int get_hash_3(int index) { return ((uint32_t *)crypt_key)[HASH_OFFSET] & PH_MASK_3; }
static int get_hash_4(int index) { return ((uint32_t *)crypt_key)[HASH_OFFSET] & PH_MASK_4; }
static int get_hash_5(int index) { return ((uint32_t *)crypt_key)[HASH_OFFSET] & PH_MASK_5; }
static int get_hash_6(int index) { return ((uint32_t *)crypt_key)[HASH_OFFSET] & PH_MASK_6; }
#else
static int get_hash_0(int index) { return *(uint32_t*)crypt_key[index] & PH_MASK_0; }
static int get_hash_1(int index) { return *(uint32_t*)crypt_key[index] & PH_MASK_1; }
static int get_hash_2(int index) { return *(uint32_t*)crypt_key[index] & PH_MASK_2; }
static int get_hash_3(int index) { return *(uint32_t*)crypt_key[index] & PH_MASK_3; }
static int get_hash_4(int index) { return *(uint32_t*)crypt_key[index] & PH_MASK_4; }
static int get_hash_5(int index) { return *(uint32_t*)crypt_key[index] & PH_MASK_5; }
static int get_hash_6(int index) { return *(uint32_t*)crypt_key[index] & PH_MASK_6; }
#endif
// Public domain hash function by DJ Bernstein
static int salt_hash(void *salt)
{
struct saltstruct *s = (struct saltstruct*)salt;
unsigned int hash = 5381;
unsigned int i;
for (i = 0; i < s->l; i++)
hash = ((hash << 5) + hash) ^ s->s[i];
return hash & (SALT_HASH_SIZE - 1);
}
struct fmt_main fmt_sapB = {
{
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_TRUNC | FMT_OMP | FMT_8_BIT,
{ NULL },
{ NULL },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
split,
get_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
salt_hash,
NULL,
set_salt,
set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
get_hash_0,
get_hash_1,
get_hash_2,
get_hash_3,
get_hash_4,
get_hash_5,
get_hash_6
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
triplet.c | /* Copyright (C) 2015 Atsushi Togo */
/* All rights reserved. */
/* These codes were originally parts of spglib, but only develped */
/* and used for phono3py. Therefore these were moved from spglib to */
/* phono3py. This file is part of phonopy. */
/* Redistribution and use in source and binary forms, with or without */
/* modification, are permitted provided that the following conditions */
/* are met: */
/* * Redistributions of source code must retain the above copyright */
/* notice, this list of conditions and the following disclaimer. */
/* * Redistributions in binary form must reproduce the above copyright */
/* notice, this list of conditions and the following disclaimer in */
/* the documentation and/or other materials provided with the */
/* distribution. */
/* * Neither the name of the phonopy project nor the names of its */
/* contributors may be used to endorse or promote products derived */
/* from this software without specific prior written permission. */
/* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS */
/* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT */
/* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS */
/* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE */
/* COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, */
/* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, */
/* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; */
/* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER */
/* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT */
/* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN */
/* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE */
/* POSSIBILITY OF SUCH DAMAGE. */
#include "triplet.h"
#include "bzgrid.h"
#include "triplet_grid.h"
#include "triplet_iw.h"
long tpl_get_BZ_triplets_at_q(long (*triplets)[3], const long grid_point,
const ConstBZGrid *bzgrid,
const long *map_triplets) {
return tpk_get_BZ_triplets_at_q(triplets, grid_point, bzgrid, map_triplets);
}
long tpl_get_triplets_reciprocal_mesh_at_q(
long *map_triplets, long *map_q, const long grid_point, const long mesh[3],
const long is_time_reversal, const long num_rot,
const long (*rec_rotations)[3][3], const long swappable) {
long num_ir;
num_ir = tpk_get_ir_triplets_at_q(map_triplets, map_q, grid_point, mesh,
is_time_reversal, rec_rotations, num_rot,
swappable);
return num_ir;
}
void tpl_get_integration_weight(
double *iw, char *iw_zero, const double *frequency_points,
const long num_band0, const long relative_grid_address[24][4][3],
const long (*triplets)[3], const long num_triplets,
const ConstBZGrid *bzgrid, const double *frequencies1, const long num_band1,
const double *frequencies2, const long num_band2, const long tp_type,
const long openmp_per_triplets, const long openmp_per_bands) {
long i, num_band_prod;
long tp_relative_grid_address[2][24][4][3];
tpl_set_relative_grid_address(tp_relative_grid_address,
relative_grid_address, tp_type);
num_band_prod = num_band0 * num_band1 * num_band2;
#ifdef PHPYOPENMP
#pragma omp parallel for if (openmp_per_triplets)
#endif
for (i = 0; i < num_triplets; i++) {
tpi_get_integration_weight(
iw + i * num_band_prod, iw_zero + i * num_band_prod,
frequency_points, /* f0 */
num_band0, tp_relative_grid_address, triplets[i], num_triplets,
bzgrid, frequencies1, /* f1 */
num_band1, frequencies2, /* f2 */
num_band2, tp_type, openmp_per_bands);
}
}
void tpl_get_integration_weight_with_sigma(
double *iw, char *iw_zero, const double sigma, const double sigma_cutoff,
const double *frequency_points, const long num_band0,
const long (*triplets)[3], const long num_triplets,
const double *frequencies, const long num_band, const long tp_type) {
long i, num_band_prod, const_adrs_shift;
double cutoff;
cutoff = sigma * sigma_cutoff;
num_band_prod = num_band0 * num_band * num_band;
const_adrs_shift = num_triplets * num_band0 * num_band * num_band;
#ifdef PHPYOPENMP
#pragma omp parallel for
#endif
for (i = 0; i < num_triplets; i++) {
tpi_get_integration_weight_with_sigma(
iw + i * num_band_prod, iw_zero + i * num_band_prod, sigma, cutoff,
frequency_points, num_band0, triplets[i], const_adrs_shift,
frequencies, num_band, tp_type, 0);
}
}
long tpl_is_N(const long triplet[3], const long (*bz_grid_addresses)[3]) {
long i, j, sum_q, is_N;
is_N = 1;
for (i = 0; i < 3; i++) {
sum_q = 0;
for (j = 0; j < 3; j++) { /* 1st, 2nd, 3rd triplet */
sum_q += bz_grid_addresses[triplet[j]][i];
}
if (sum_q) {
is_N = 0;
break;
}
}
return is_N;
}
void tpl_set_relative_grid_address(long tp_relative_grid_address[2][24][4][3],
const long relative_grid_address[24][4][3],
const long tp_type) {
long i, j, k, l;
long signs[2];
signs[0] = 1;
signs[1] = 1;
if ((tp_type == 2) || (tp_type == 3)) {
/* q1+q2+q3=G */
/* To set q2+1, q3-1 is needed to keep G */
signs[1] = -1;
}
/* tp_type == 4, q+k_i-k_f=G */
for (i = 0; i < 2; i++) {
for (j = 0; j < 24; j++) {
for (k = 0; k < 4; k++) {
for (l = 0; l < 3; l++) {
tp_relative_grid_address[i][j][k][l] =
relative_grid_address[j][k][l] * signs[i];
}
}
}
}
}
|
pi_loop.c | /*
This program will numerically compute the integral of
4/(1+x*x)
from 0 to 1. The value of this integral is pi -- which
is great since it gives us an easy way to check the answer.
The program was parallelized using OpenMP by adding just
four lines
(1) A line to include omp.h -- the include file that
contains OpenMP's function prototypes and constants.
(2) A pragma that tells OpenMP to create a team of threads
(3) A pragma to cause one of the threads to print the
number of threads being used by the program.
(4) A pragma to split up loop iterations among the team
of threads. This pragma includes 2 clauses to (1) create a
private variable and (2) to cause the threads to compute their
sums locally and then combine their local sums into a
single global value.
History: Written by Tim Mattson, 11/99.
*/
#include <stdio.h>
#include <omp.h>
static long num_steps = 100000000;
double step;
int main ()
{
int i;
double x, pi, sum = 0.0;
double start_time, run_time;
step = 1.0/(double) num_steps;
for (i = 1; i <= 4; i++)
{
sum = 0.0;
omp_set_num_threads(i);
start_time = omp_get_wtime();
#pragma omp parallel
{
#pragma omp single // 默认有barrier（栅栏）
printf(" num_threads = %d",omp_get_num_threads());
#pragma omp for reduction(+:sum) // 使用reduction对sum进行加法规约，并行执行时每个线程都保存sum拷贝，结束后进行相加。
for (i=1;i<= num_steps; i++){
x = (i-0.5)*step;
sum = sum + 4.0/(1.0+x*x);
}
}
pi = step * sum;
run_time = omp_get_wtime() - start_time;
printf("\n pi is %f in %f seconds and %d threads\n",pi,run_time,i);
}
}
|
opencl_dmg_fmt_plug.c | /* DMG cracker patch for JtR. Hacked together during August of 2012
* by Dhiru Kholia <dhiru.kholia at gmail.com>
*
* This software is Copyright (c) 2012 Lukas Odzioba <ukasz@openwall.net>
* and it is hereby released to the general public under the following terms:
* Redistribution and use in source and binary forms, with or without
* modification, are permitted. */
/*
* Debug levels:
* 1 show what "test" hits
* 2 dump printables from the decrypted blocks
* 3 dump hex from the decrypted blocks
* 4 dump decrypted blocks to files (will overwrite with no mercy):
* dmg.debug.main main block
* dmg.debug alternate block (if present, this is the start block)
*/
//#define DMG_DEBUG 2
#ifdef HAVE_OPENCL
#if FMT_EXTERNS_H
extern struct fmt_main fmt_opencl_dmg;
#elif FMT_REGISTERS_H
john_register_one(&fmt_opencl_dmg);
#else
#include <string.h>
#include <openssl/aes.h>
#include <openssl/evp.h>
#include <openssl/hmac.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "arch.h"
#include "formats.h"
#include "common.h"
#include "options.h"
#include "jumbo.h"
#include "common-opencl.h"
#define FORMAT_LABEL "dmg-opencl"
#define FORMAT_NAME "Apple DMG"
#define ALGORITHM_NAME "PBKDF2-SHA1 OpenCL 3DES/AES"
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1001
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#define BINARY_SIZE 0
#define BINARY_ALIGN 1
#define PLAINTEXT_LENGTH 64
#define SALT_SIZE sizeof(struct custom_salt)
#define SALT_ALIGN sizeof(uint32_t)
#undef HTONL
#define HTONL(n) (((((unsigned long)(n) & 0xFF)) << 24) | \
((((unsigned long)(n) & 0xFF00)) << 8) | \
((((unsigned long)(n) & 0xFF0000)) >> 8) | \
((((unsigned long)(n) & 0xFF000000)) >> 24))
#define uint8_t unsigned char
#define uint16_t unsigned short
#define uint32_t unsigned int
#define OCL_CONFIG "dmg"
#ifdef DMG_DEBUG
extern volatile int bench_running;
#endif
typedef struct {
uint32_t length;
uint8_t v[PLAINTEXT_LENGTH];
} dmg_password;
typedef struct {
uint32_t v[32/4];
} dmg_hash;
typedef struct {
uint8_t length;
uint8_t salt[20];
int iterations;
int outlen;
} dmg_salt;
static int *cracked;
static int any_cracked;
static struct custom_salt {
unsigned int saltlen;
unsigned char salt[20];
unsigned int ivlen;
unsigned char iv[32];
int headerver;
unsigned char chunk[8192];
uint32_t encrypted_keyblob_size;
uint8_t encrypted_keyblob[128];
unsigned int len_wrapped_aes_key;
unsigned char wrapped_aes_key[296];
unsigned int len_hmac_sha1_key;
unsigned char wrapped_hmac_sha1_key[300];
char scp; /* start chunk present */
unsigned char zchunk[4096]; /* chunk #0 */
int cno;
int data_size;
unsigned int iterations;
} *cur_salt;
static cl_int cl_error;
static dmg_password *inbuffer;
static dmg_hash *outbuffer;
static dmg_salt currentsalt;
static cl_mem mem_in, mem_out, mem_setting;
size_t insize, outsize, settingsize, cracked_size;
static struct fmt_tests dmg_tests[] = {
// testimage.AES-256.64k.header_v2.dmg
{"$dmg$2*20*fd70ac1e078f01fce55a2e56145a2494446db32a*32*9110b1778f09b1a7000000000000000000000000000000000000000000000000*64*68a32866b0e67515f35dc67c4d6747a8561a9f4f6a6718a894b0a77a47c452471e04ecef9bf56f0d83d1201a509a374e00000000000000000000000000000000*14*8192*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"
"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"
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{"$dmg$1*20*f615ec6c463799eccc6a2dfbedf12c6bdc422a2a*56*a595f4a81a490e7aa6378034661da57a424f922c971d3db3f856f8d54b0784bcc5d7182905c4237153c5d250b8aee1d26410b1dca7b1cb73*48*74a060efbaf2c79d5523219d8162c425befbb2094fb46e7ffaedc7cd4f192e6f0c47d8aa91e0a3201346725d3ddadfff", "vilefault"},
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"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"
"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"
"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"
"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"
"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*0", "password#"},
/* test vectors from CMIYC 2012 */
{"$dmg$2*20*dc39029a22b86bb4f930499578d0dc9eee69398e*32*bb47bff69b10ae67000000000000000000000000000000000000000000000000*48*c4559cada09552ab075e73dbefa4aea1aa21209011946e423ca707753a91c87f6c4cbed3beae20a244d33568f852068a*6*4315*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"
"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"
"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"
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"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"
"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"
"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"
"df07501ff08378ac1cfe3ef479491f3fc475f8aa1fb188706c264e276da3e0399e2bc17cffd6ad0ff94d2d3b9a3b46e8c1472c41fc1c002daa76634f94b3bdf8560cb3241352c6f1be21fee70cd54a1d96e31d71ef99589b93e7ca8d026abcb4a4fbfc8c0f57d59a6d9e760f02fd0a569702da7f59da495c2dd7f92d60fb3220cd7932a032d40ed29deaa5fe971128c6503eb9d1029a23ed6dc4fd5e8c5cf0347841424d60a5a07a9781d08c85222cf7241d199609762488332a6eafbc08cec42c876da9bd3fa287bca12f71b6e33c4453afb970b425a45b9baa9aa69ebb3907e06e6610f100b00c86752b2c106c2e0b71963f1933d315ceef89132c7744149db0c28f62b3d7b43d570d1f5c40bf4b7470b3b8de30b0d756b8326542743f2fa5cf3eff226b6a658ecbe44dc9a0e59f073f999d8c3340ba30ecff6f2fa4f3815f0d4c665b5109ce8984971e5cbec806888c2acdf73d2a330de9e5133787aa4950d08759f4cfcb55ec8efb43d421cf3a9f601a096677eb95f61e352a9adae7c0b971fb455f170c7ed95329b699d6e93f024786507e2e0acbeffb452c26d8c041cb88316d09a08af54ec48451f9bb685a23910e97ac82bb41f19f6b42fa10cfb75f9fa8edd61653c14a27b51544e3fb28009aab76d060135df2d097fd4c2f2e63dba1192c648215fdd1dace4824d71e038e23184ede7f61baefd747aed93b9807d0b3b7b4f7cb9eb171d1ba241b19cf1c74781eaaaca99a458253777522dedcf3d1db6bd4eec4459e59ad635904201b5d91c77bb"
"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"
"5a1edb6f294a0ceebefc3cb54db814cf91fe450ed4c71d0b4091a1fc7474", "goodjob"},
{NULL}
};
#define MIN(a, b) (((a) > (b)) ? (b) : (a))
#define MAX(a, b) (((a) > (b)) ? (a) : (b))
#define OCL_CONFIG "dmg"
#define STEP 0
#define SEED 256
// This file contains auto-tuning routine(s). Has to be included after formats definitions.
#include "opencl-autotune.h"
#include "memdbg.h"
static const char * warn[] = {
"xfer: ", ", crypt: ", ", xfer: "
};
/* ------- Helper functions ------- */
static size_t get_task_max_work_group_size()
{
return autotune_get_task_max_work_group_size(FALSE, 0, crypt_kernel);
}
static size_t get_task_max_size()
{
return 0;
}
static size_t get_default_workgroup()
{
if (cpu(device_info[gpu_id]))
return get_platform_vendor_id(platform_id) == DEV_INTEL ?
8 : 1;
else
return 64;
}
static void create_clobj(size_t gws, struct fmt_main *self)
{
insize = sizeof(dmg_password) * gws;
outsize = sizeof(dmg_hash) * gws;
settingsize = sizeof(dmg_salt);
cracked_size = sizeof(*cracked) * gws;
inbuffer = mem_calloc(insize);
outbuffer = mem_alloc(outsize);
cracked = mem_calloc(cracked_size);
/// Allocate memory
mem_in =
clCreateBuffer(context[gpu_id], CL_MEM_READ_ONLY, insize, NULL,
&cl_error);
HANDLE_CLERROR(cl_error, "Error allocating mem in");
mem_setting =
clCreateBuffer(context[gpu_id], CL_MEM_READ_ONLY, settingsize,
NULL, &cl_error);
HANDLE_CLERROR(cl_error, "Error allocating mem setting");
mem_out =
clCreateBuffer(context[gpu_id], CL_MEM_WRITE_ONLY, outsize, NULL,
&cl_error);
HANDLE_CLERROR(cl_error, "Error allocating mem out");
HANDLE_CLERROR(clSetKernelArg(crypt_kernel, 0, sizeof(mem_in),
&mem_in), "Error while setting mem_in kernel argument");
HANDLE_CLERROR(clSetKernelArg(crypt_kernel, 1, sizeof(mem_out),
&mem_out), "Error while setting mem_out kernel argument");
HANDLE_CLERROR(clSetKernelArg(crypt_kernel, 2, sizeof(mem_setting),
&mem_setting), "Error while setting mem_salt kernel argument");
}
static void release_clobj(void)
{
HANDLE_CLERROR(clReleaseMemObject(mem_in), "Release mem in");
HANDLE_CLERROR(clReleaseMemObject(mem_setting), "Release mem setting");
HANDLE_CLERROR(clReleaseMemObject(mem_out), "Release mem out");
MEM_FREE(inbuffer);
MEM_FREE(outbuffer);
MEM_FREE(cracked);
}
static void done(void)
{
release_clobj();
HANDLE_CLERROR(clReleaseKernel(crypt_kernel), "Release kernel");
HANDLE_CLERROR(clReleaseProgram(program[gpu_id]), "Release Program");
}
static void init(struct fmt_main *self)
{
char build_opts[64];
snprintf(build_opts, sizeof(build_opts),
"-DKEYLEN=%d -DSALTLEN=%d -DOUTLEN=%d",
PLAINTEXT_LENGTH,
(int)sizeof(currentsalt.salt),
(int)sizeof(outbuffer->v));
opencl_init("$JOHN/kernels/pbkdf2_hmac_sha1_unsplit_kernel.cl",
gpu_id, build_opts);
crypt_kernel = clCreateKernel(program[gpu_id], "derive_key", &cl_error);
HANDLE_CLERROR(cl_error, "Error creating kernel");
// Initialize openCL tuning (library) for this format.
opencl_init_auto_setup(SEED, 0, NULL,
warn, 1, self, create_clobj, release_clobj,
sizeof(dmg_password), 0);
// Auto tune execution from shared/included code.
autotune_run(self, 1, 0, 1000);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy, *keeptr;
char *p;
int headerver;
int res;
if (strncmp(ciphertext, "$dmg$", 5) != 0)
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += 5; /* skip over "$dmg$" marker */
if ((p = strtok(ctcopy, "*")) == NULL)
goto err;
headerver = atoi(p);
if (headerver == 2) {
if ((p = strtok(NULL, "*")) == NULL) /* salt len */
goto err;
res = atoi(p);
if (res > 20)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* salt */
goto err;
if (strlen(p) != res * 2)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* ivlen */
goto err;
res = atoi(p);
if (atoi(p) > 32)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* iv */
goto err;
if (strlen(p) != res * 2)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* encrypted_keyblob_size */
goto err;
res = atoi(p);
if (res > 128)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* encrypted keyblob */
goto err;
if (strlen(p) != res * 2)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* chunk number */
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* data_size */
goto err;
res = atoi(p);
if ((p = strtok(NULL, "*")) == NULL) /* chunk */
goto err;
if (strlen(p) != res * 2)
goto err;
if (res > 8192)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* scp */
goto err;
res = atoi(p);
if (res == 1) {
if ((p = strtok(NULL, "*")) == NULL) /* zchunk */
goto err;
if (strlen(p) != 4096 * 2)
goto err;
}
}
else if (headerver == 1) {
if ((p = strtok(NULL, "*")) == NULL) /* salt len */
goto err;
res = atoi(p);
if (res > 20)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* salt */
goto err;
if (strlen(p) != res * 2)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* len_wrapped_aes_key */
goto err;
res = atoi(p);
if (res > 296)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* wrapped_aes_key */
goto err;
if (strlen(p) != res * 2)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* len_hmac_sha1_key */
goto err;
res = atoi(p);
if (res > 300)
goto err;
if ((p = strtok(NULL, "*")) == NULL) /* hmac_sha1_key */
goto err;
if (strlen(p) != res * 2)
goto err;
}
else
goto err;
MEM_FREE(keeptr);
return 1;
err:
MEM_FREE(keeptr);
return 0;
}
static void *get_salt(char *ciphertext)
{
char *ctcopy = strdup(ciphertext);
char *keeptr = ctcopy;
int i;
char *p;
static struct custom_salt cs;
ctcopy += 5;
p = strtok(ctcopy, "*");
cs.headerver = atoi(p);
if (cs.headerver == 2) {
p = strtok(NULL, "*");
cs.saltlen = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < cs.saltlen; i++)
cs.salt[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtok(NULL, "*");
cs.ivlen = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < cs.ivlen; i++)
cs.iv[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtok(NULL, "*");
cs.encrypted_keyblob_size = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < cs.encrypted_keyblob_size; i++)
cs.encrypted_keyblob[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtok(NULL, "*");
cs.cno = atoi(p);
p = strtok(NULL, "*");
cs.data_size = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < cs.data_size; i++)
cs.chunk[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtok(NULL, "*");
cs.scp = atoi(p);
if (cs.scp == 1) {
p = strtok(NULL, "*");
for (i = 0; i < 4096; i++)
cs.zchunk[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
}
if ((p = strtok(NULL, "*")))
cs.iterations = atoi(p);
else
cs.iterations = 1000;
}
else {
p = strtok(NULL, "*");
cs.saltlen = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < cs.saltlen; i++)
cs.salt[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtok(NULL, "*");
cs.len_wrapped_aes_key = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < cs.len_wrapped_aes_key; i++)
cs.wrapped_aes_key[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtok(NULL, "*");
cs.len_hmac_sha1_key = atoi(p);
p = strtok(NULL, "*");
for (i = 0; i < cs.len_hmac_sha1_key; i++)
cs.wrapped_hmac_sha1_key[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
if ((p = strtok(NULL, "*")))
cs.iterations = atoi(p);
else
cs.iterations = 1000;
}
if (cs.iterations == 0)
cs.iterations = 1000;
MEM_FREE(keeptr);
return (void *)&cs;
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
memcpy((char*)currentsalt.salt, cur_salt->salt, 20);
currentsalt.length = 20;
currentsalt.outlen = 32;
currentsalt.iterations = cur_salt->iterations;
HANDLE_CLERROR(clEnqueueWriteBuffer(queue[gpu_id], mem_setting,
CL_FALSE, 0, settingsize, ¤tsalt, 0, NULL, NULL),
"Copy setting to gpu");
}
#undef set_key
static void set_key(char *key, int index)
{
uint8_t length = strlen(key);
if (length > PLAINTEXT_LENGTH)
length = PLAINTEXT_LENGTH;
inbuffer[index].length = length;
memcpy(inbuffer[index].v, key, length);
}
static char *get_key(int index)
{
static char ret[PLAINTEXT_LENGTH + 1];
uint8_t length = inbuffer[index].length;
memcpy(ret, inbuffer[index].v, length);
ret[length] = '\0';
return ret;
}
static int apple_des3_ede_unwrap_key1(unsigned char *wrapped_key, int wrapped_key_len, unsigned char *decryptKey)
{
EVP_CIPHER_CTX ctx;
unsigned char TEMP1[sizeof(cur_salt->wrapped_hmac_sha1_key)];
unsigned char TEMP2[sizeof(cur_salt->wrapped_hmac_sha1_key)];
unsigned char CEKICV[sizeof(cur_salt->wrapped_hmac_sha1_key)];
unsigned char IV[8] = { 0x4a, 0xdd, 0xa2, 0x2c, 0x79, 0xe8, 0x21, 0x05 };
int outlen, tmplen, i;
EVP_CIPHER_CTX_init(&ctx);
EVP_DecryptInit_ex(&ctx, EVP_des_ede3_cbc(), NULL, decryptKey, IV);
if (!EVP_DecryptUpdate(&ctx, TEMP1, &outlen, wrapped_key, wrapped_key_len)) {
goto err;
}
if (!EVP_DecryptFinal_ex(&ctx, TEMP1 + outlen, &tmplen)) {
goto err;
}
outlen += tmplen;
EVP_CIPHER_CTX_cleanup(&ctx);
for (i = 0; i < outlen; i++) {
TEMP2[i] = TEMP1[outlen - i - 1];
}
EVP_CIPHER_CTX_init(&ctx);
EVP_DecryptInit_ex(&ctx, EVP_des_ede3_cbc(), NULL, decryptKey, TEMP2);
if (!EVP_DecryptUpdate(&ctx, CEKICV, &outlen, TEMP2 + 8, outlen - 8)) {
goto err;
}
if (!EVP_DecryptFinal_ex(&ctx, CEKICV + outlen, &tmplen)) {
goto err;
}
outlen += tmplen;
EVP_CIPHER_CTX_cleanup(&ctx);
return 0;
err:
EVP_CIPHER_CTX_cleanup(&ctx);
return -1;
}
static int hash_plugin_check_hash(unsigned char *derived_key)
{
unsigned char hmacsha1_key_[20];
unsigned char aes_key_[32];
int ret = 0;
if (cur_salt->headerver == 1) {
if ((apple_des3_ede_unwrap_key1(cur_salt->wrapped_aes_key, cur_salt->len_wrapped_aes_key, derived_key) == 0) && (apple_des3_ede_unwrap_key1(cur_salt->wrapped_hmac_sha1_key, cur_salt->len_hmac_sha1_key, derived_key) == 0)) {
return 1;
}
}
else {
EVP_CIPHER_CTX ctx;
unsigned char TEMP1[sizeof(cur_salt->wrapped_hmac_sha1_key)];
int outlen, tmplen;
AES_KEY aes_decrypt_key;
unsigned char outbuf[8192 + 1];
unsigned char outbuf2[4096 + 1];
unsigned char iv[20];
HMAC_CTX hmacsha1_ctx;
int mdlen;
#ifdef DMG_DEBUG
unsigned char *r;
#endif
const char nulls[8] = { 0 };
EVP_CIPHER_CTX_init(&ctx);
EVP_DecryptInit_ex(&ctx, EVP_des_ede3_cbc(), NULL, derived_key, cur_salt->iv);
if (!EVP_DecryptUpdate(&ctx, TEMP1, &outlen,
cur_salt->encrypted_keyblob, cur_salt->encrypted_keyblob_size)) {
return 0;
}
EVP_DecryptFinal_ex(&ctx, TEMP1 + outlen, &tmplen);
EVP_CIPHER_CTX_cleanup(&ctx);
outlen += tmplen;
memcpy(aes_key_, TEMP1, 32);
memcpy(hmacsha1_key_, TEMP1, 20);
HMAC_CTX_init(&hmacsha1_ctx);
HMAC_Init_ex(&hmacsha1_ctx, hmacsha1_key_, 20, EVP_sha1(), NULL);
HMAC_Update(&hmacsha1_ctx, (void *) &cur_salt->cno, 4);
HMAC_Final(&hmacsha1_ctx, iv, (unsigned int *) &mdlen);
HMAC_CTX_cleanup(&hmacsha1_ctx);
if (cur_salt->encrypted_keyblob_size == 48)
AES_set_decrypt_key(aes_key_, 128, &aes_decrypt_key);
else
AES_set_decrypt_key(aes_key_, 128 * 2, &aes_decrypt_key);
AES_cbc_encrypt(cur_salt->chunk, outbuf, cur_salt->data_size, &aes_decrypt_key, iv, AES_DECRYPT);
/* 8 consecutive nulls */
if (memmem(outbuf, cur_salt->data_size, (void*)nulls, 8)) {
#ifdef DMG_DEBUG
if (!bench_running)
fprintf(stderr, "NULLS found!\n\n");
#endif
ret = 1;
}
/* These tests seem to be obsoleted by the 8xNULL test */
#ifdef DMG_DEBUG
/* </plist> is a pretty generic signature for Apple */
if (memmem(outbuf, cur_salt->data_size, (void*)"</plist>", 8)) {
if (!bench_running)
fprintf(stderr, "</plist> found!\n\n");
ret = 1;
}
/* Journalled HFS+ */
if (memmem(outbuf, cur_salt->data_size, (void*)"jrnlhfs+", 8)) {
if (!bench_running)
fprintf(stderr, "jrnlhfs+ found!\n\n");
ret = 1;
}
/* Handle compressed DMG files, CMIYC 2012 and self-made
samples. Is this test obsoleted by the </plist> one? */
if ((r = memmem(outbuf, cur_salt->data_size, (void*)"koly", 4))) {
unsigned int *u32Version = (unsigned int *)(r + 4);
if (HTONL(*u32Version) == 4) {
if (!bench_running)
fprintf(stderr, "koly found!\n\n");
ret = 1;
}
}
/* Handle VileFault sample images */
if (memmem(outbuf, cur_salt->data_size, (void*)"EFI PART", 8)) {
if (!bench_running)
fprintf(stderr, "EFI PART found!\n\n");
ret = 1;
}
/* Apple is a good indication but it's short enough to
produce false positives */
if (memmem(outbuf, cur_salt->data_size, (void*)"Apple", 5)) {
if (!bench_running)
fprintf(stderr, "Apple found!\n\n");
ret = 1;
}
#endif /* DMG_DEBUG */
/* Second buffer test. If present, *this* is the very first block of the DMG */
if (cur_salt->scp == 1) {
int cno = 0;
HMAC_CTX_init(&hmacsha1_ctx);
HMAC_Init_ex(&hmacsha1_ctx, hmacsha1_key_, 20, EVP_sha1(), NULL);
HMAC_Update(&hmacsha1_ctx, (void *) &cno, 4);
HMAC_Final(&hmacsha1_ctx, iv, (unsigned int *) &mdlen);
HMAC_CTX_cleanup(&hmacsha1_ctx);
if (cur_salt->encrypted_keyblob_size == 48)
AES_set_decrypt_key(aes_key_, 128, &aes_decrypt_key);
else
AES_set_decrypt_key(aes_key_, 128 * 2, &aes_decrypt_key);
AES_cbc_encrypt(cur_salt->zchunk, outbuf2, 4096, &aes_decrypt_key, iv, AES_DECRYPT);
/* 8 consecutive nulls */
if (memmem(outbuf2, 4096, (void*)nulls, 8)) {
#ifdef DMG_DEBUG
if (!bench_running)
fprintf(stderr, "NULLS found in alternate block!\n\n");
#endif
ret = 1;
}
#ifdef DMG_DEBUG
/* This test seem to be obsoleted by the 8xNULL test */
if (memmem(outbuf2, 4096, (void*)"Press any key to reboot", 23)) {
if (!bench_running)
fprintf(stderr, "MS-DOS UDRW signature found in alternate block!\n\n");
ret = 1;
}
#endif /* DMG_DEBUG */
}
#ifdef DMG_DEBUG
/* Write block as hex, strings or raw to a file. */
if (ret && !bench_running) {
#if DMG_DEBUG == 4
int fd;
if ((fd = open("dmg.debug.main", O_RDWR | O_CREAT | O_TRUNC, 0660)) == -1)
perror("open()");
else {
if (flock(fd, LOCK_EX))
perror("flock()");
if ((write(fd, outbuf, cur_salt->data_size) == -1))
perror("write()");
if (cur_salt->scp == 1)
if ((write(fd, outbuf2, 4096) == -1))
perror("write()");
if (close(fd))
perror("close");
}
#endif
#if DMG_DEBUG == 3
dump_stuff(outbuf, cur_salt->data_size);
if (cur_salt->scp == 1) {
fprintf(stderr, "2nd block:\n");
dump_stuff(outbuf2, 4096);
}
#endif
#if DMG_DEBUG == 2
dump_text(outbuf, cur_salt->data_size);
if (cur_salt->scp == 1) {
fprintf(stderr, "2nd block:\n");
dump_text(outbuf2, 4096);
}
#endif
}
#endif /* DMG_DEBUG */
}
return ret;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
int count = *pcount;
int index;
global_work_size = (((count + local_work_size - 1) / local_work_size) * local_work_size);
if (any_cracked) {
memset(cracked, 0, cracked_size);
any_cracked = 0;
}
/// Copy data to gpu
HANDLE_CLERROR(clEnqueueWriteBuffer(queue[gpu_id], mem_in, CL_FALSE, 0,
insize, inbuffer, 0, NULL, multi_profilingEvent[0]),
"Copy data to gpu");
/// Run kernel
HANDLE_CLERROR(clEnqueueNDRangeKernel(queue[gpu_id], crypt_kernel, 1,
NULL, &global_work_size, &local_work_size, 0, NULL,
multi_profilingEvent[1]), "Run kernel");
/// Read the result back
HANDLE_CLERROR(clEnqueueReadBuffer(queue[gpu_id], mem_out, CL_TRUE, 0,
outsize, outbuffer, 0, NULL, multi_profilingEvent[2]), "Copy result back");
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (index = 0; index < count; index++)
if (hash_plugin_check_hash((unsigned char*)outbuffer[index].v) == 1)
{
cracked[index] = 1;
#ifdef _OPENMP
#pragma omp atomic
#endif
any_cracked |= 1;
}
return count;
}
static int cmp_all(void *binary, int count)
{
return any_cracked;
}
static int cmp_one(void *binary, int index)
{
return cracked[index];
}
static int cmp_exact(char *source, int index)
{
return 1;
}
#if FMT_MAIN_VERSION > 11
static unsigned int iteration_count(void *salt)
{
struct custom_salt *my_salt;
my_salt = salt;
return (unsigned int) my_salt->iterations;
}
#endif
struct fmt_main fmt_opencl_dmg = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
#ifdef DMG_DEBUG
FMT_NOT_EXACT |
#endif
FMT_CASE | FMT_8_BIT | FMT_OMP,
#if FMT_MAIN_VERSION > 11
{
"iteration count",
},
#endif
dmg_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
fmt_default_binary,
get_salt,
#if FMT_MAIN_VERSION > 11
{
iteration_count,
},
#endif
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
set_salt,
set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
#endif /* HAVE_OPENCL */
|
parallel_macros.h | // ==========================================================================
// SeqAn - The Library for Sequence Analysis
// ==========================================================================
// Copyright (c) 2006-2015, Knut Reinert, FU Berlin
// 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 Knut Reinert or the FU Berlin 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 KNUT REINERT OR THE FU BERLIN 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.
//
// ==========================================================================
// Author: Manuel Holtgrewe <manuel.holtgrewe@fu-berlin.de>
// Author: Enrico Siragusa <enrico.siragusa@fu-berlin.de>
// ==========================================================================
// Utility macros for parallelism.
// ==========================================================================
#ifndef SEQAN_PARALLEL_PARALLEL_MACROS_H_
#define SEQAN_PARALLEL_PARALLEL_MACROS_H_
/*!
* @macro SEQAN_OMP_PRAGMA
* @headerfile <seqan/parallel.h>
* @brief Portable conditional <tt>#pragma</tt> issuing if OpenMP is enabled.
*
* @signature SEQAN_OMP_PRAGMA(x)
*
* @param x The string to issue behind <tt>#pragma omp</tt>.
*
* @section Remarks
*
* This macro uses portable pragma generation, dependent on the macro <tt>_OPENMP</tt> being defined (as by
* the OpenMP standard).
*
* This is useful for disabling OpenMP pragmas on compilers that do not support OpenMP or when OpenMP is not enabled to
* suppress warnings.
*
* @section Example
*
* Parallelize loop with OpenMP if OpenMP is enabled:
*
* @code{.cpp}
* SEQAN_OMP_PRAGMA(parallel for) // becomes: #pragma omp parallel for
* for (int i = 0; i < x; ++i)
* {
* // Do work.
* }
* @endcode
*
* Make an addition atomic if OpenMP is enabled:
*
* @code{.cpp}
* SEQAN_OMP_PRAGMA(parallel atomic) // becomes: #pragma omp parallel atomic
* i += 1;
* @endcode
*/
#ifdef _OPENMP
#include <omp.h>
#if defined(PLATFORM_WINDOWS_MINGW) || defined(PLATFORM_GCC)
// GCC _Pragma operator
#define SEQAN_DO_PRAGMA(x) _Pragma(# x)
#define SEQAN_OMP_PRAGMA(x) SEQAN_DO_PRAGMA(omp x)
#else // #if defined(PLATFORM_WINDOWS_MINGW) || defined(PLATFORM_GCC)
// MSVC __pragma-operator
#define SEQAN_OMP_PRAGMA(x) __pragma(omp x)
#endif // #if defined(PLATFORM_WINDOWS_MINGW) || defined(PLATFORM_GCC)
#else // #ifdef _OPENMP
#define SEQAN_OMP_PRAGMA(x)
// low-level OpenMP runtime compatibility
inline void omp_set_num_threads(int)
{}
inline int omp_get_num_threads()
{
return 1;
}
inline int omp_get_max_threads()
{
return 1;
}
inline int omp_get_thread_num()
{
return 0;
}
inline double omp_get_wtime()
{
return seqan::sysTime();
}
#endif // #ifdef _OPENMP
// ----------------------------------------------------------------------------
// Function getThreadId()
// ----------------------------------------------------------------------------
SEQAN_HOST_DEVICE inline unsigned getThreadId()
{
#if defined(__CUDA_ARCH__)
return blockIdx.x * blockDim.x + threadIdx.x;
#elif defined(_OPENMP)
return omp_get_thread_num();
#else
return 0;
#endif
}
#endif // SEQAN_PARALLEL_PARALLEL_MACROS_H_
|
4415.c | /* POLYBENCH/GPU-OPENMP
*
* This file is a part of the Polybench/GPU-OpenMP suite
*
* Contact:
* William Killian <killian@udel.edu>
*
* Copyright 2013, The University of Delaware
*/
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <math.h>
/* Include polybench common header. */
#include <polybench.h>
/* Include benchmark-specific header. */
/* Default data type is double, default size is 4000. */
#include "covariance.h"
/* Array initialization. */
static
void init_array (int m, int n,
DATA_TYPE *float_n,
DATA_TYPE POLYBENCH_2D(data,M,N,m,n))
{
int i, j;
*float_n = 1.2;
for (i = 0; i < M; i++)
for (j = 0; j < N; j++)
data[i][j] = ((DATA_TYPE) i*j) / M;
}
/* 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 m,
DATA_TYPE POLYBENCH_2D(symmat,M,M,m,m))
{
int i, j;
for (i = 0; i < m; i++)
for (j = 0; j < m; j++) {
fprintf (stderr, DATA_PRINTF_MODIFIER, symmat[i][j]);
if ((i * m + 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_covariance(int m, int n,
DATA_TYPE float_n,
DATA_TYPE POLYBENCH_2D(data,M,N,m,n),
DATA_TYPE POLYBENCH_2D(symmat,M,M,m,m),
DATA_TYPE POLYBENCH_1D(mean,M,m))
{
int i, j, j1, j2;
#pragma scop
/* Determine mean of column vectors of input data matrix */
#pragma omp parallel private(i, j, j2) num_threads(4)
{
#pragma omp for schedule(static, 16)
for (j = 0; j < _PB_M; j++)
{
mean[j] = 0.0;
for (i = 0; i < _PB_N; i++)
mean[j] += data[i][j];
mean[j] /= float_n;
}
/* Center the column vectors. */
#pragma omp for schedule(static, 16)
for (i = 0; i < _PB_N; i++)
for (j = 0; j < _PB_M; j++)
data[i][j] -= mean[j];
/* Calculate the m * m covariance matrix. */
#pragma omp for schedule(static, 16)
for (j1 = 0; j1 < _PB_M; j1++)
for (j2 = j1; j2 < _PB_M; j2++)
{
symmat[j1][j2] = 0.0;
for (i = 0; i < _PB_N; i++)
symmat[j1][j2] += data[i][j1] * data[i][j2];
symmat[j2][j1] = symmat[j1][j2];
}
}
#pragma endscop
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int n = N;
int m = M;
/* Variable declaration/allocation. */
DATA_TYPE float_n;
POLYBENCH_2D_ARRAY_DECL(data,DATA_TYPE,M,N,m,n);
POLYBENCH_2D_ARRAY_DECL(symmat,DATA_TYPE,M,M,m,m);
POLYBENCH_1D_ARRAY_DECL(mean,DATA_TYPE,M,m);
/* Initialize array(s). */
init_array (m, n, &float_n, POLYBENCH_ARRAY(data));
/* Start timer. */
polybench_start_instruments;
/* Run kernel. */
kernel_covariance (m, n, float_n,
POLYBENCH_ARRAY(data),
POLYBENCH_ARRAY(symmat),
POLYBENCH_ARRAY(mean));
/* Stop and print timer. */
polybench_stop_instruments;
polybench_print_instruments;
/* Prevent dead-code elimination. All live-out data must be printed
by the function call in argument. */
polybench_prevent_dce(print_array(m, POLYBENCH_ARRAY(symmat)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(data);
POLYBENCH_FREE_ARRAY(symmat);
POLYBENCH_FREE_ARRAY(mean);
return 0;
}
|
convolution_3x3_pack4.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void conv3x3s1_winograd64_transform_kernel_pack4_sse(const Mat& kernel, Mat& kernel_tm_pack4, int inch, int outch, const Option& opt)
{
// 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 num_threads(opt.num_threads)
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 = pb-pa-inch/pa-64-outch/pb
kernel_tm_pack4.create(inch / 4, 64, outch / 4, (size_t)4u * 4 * 4, 4 * 4);
for (int q = 0; q + (4 - 1) < outch; q += 4)
{
Mat g0 = kernel_tm_pack4.channel(q / 4);
for (int k = 0; k < 64; k++)
{
float* g00 = g0.row<float>(k);
for (int p = 0; p + (4 - 1) < inch; p += 4)
{
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 4; j++)
{
const float* k00 = kernel_tm.channel(q + j).row(p + i);
g00[0] = (float)k00[k];
g00++;
}
}
}
}
}
}
static void conv3x3s1_winograd64_pack4_sse(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);
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tiles = outw / 6;
int h_tiles = outh / 6;
int tiles = w_tiles * h_tiles;
bottom_blob_tm.create(tiles, 64, inch, elemsize, elempack, opt.workspace_allocator);
conv3x3s1_winograd64_transform_input_pack4_sse(bottom_blob_bordered, bottom_blob_tm, opt);
}
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;
// permute
// bottom_blob_tm.create(tiles, 64, inch, elemsize, elempack, opt.workspace_allocator);
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, 4u * elempack, 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, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 64, 4u * elempack, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 64, 4u * elempack, 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* tmpptr = tm2.row(i / 12);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x12
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r2 = _mm_load_ps(r0 + 4 * 2);
__m128 _r3 = _mm_load_ps(r0 + 4 * 3);
__m128 _r4 = _mm_load_ps(r0 + 4 * 4);
__m128 _r5 = _mm_load_ps(r0 + 4 * 5);
__m128 _r6 = _mm_load_ps(r0 + 4 * 6);
__m128 _r7 = _mm_load_ps(r0 + 4 * 7);
__m128 _r8 = _mm_load_ps(r0 + 4 * 8);
__m128 _r9 = _mm_load_ps(r0 + 4 * 9);
__m128 _ra = _mm_load_ps(r0 + 4 * 10);
__m128 _rb = _mm_load_ps(r0 + 4 * 11);
_MM_TRANSPOSE4_PS(_r0, _r1, _r2, _r3);
_MM_TRANSPOSE4_PS(_r4, _r5, _r6, _r7);
_MM_TRANSPOSE4_PS(_r8, _r9, _ra, _rb);
_mm_store_ps(tmpptr, _r0);
_mm_store_ps(tmpptr + 4, _r4);
_mm_store_ps(tmpptr + 4 * 2, _r8);
_mm_store_ps(tmpptr + 4 * 3, _r1);
_mm_store_ps(tmpptr + 4 * 4, _r5);
_mm_store_ps(tmpptr + 4 * 5, _r9);
_mm_store_ps(tmpptr + 4 * 6, _r2);
_mm_store_ps(tmpptr + 4 * 7, _r6);
_mm_store_ps(tmpptr + 4 * 8, _ra);
_mm_store_ps(tmpptr + 4 * 9, _r3);
_mm_store_ps(tmpptr + 4 * 10, _r7);
_mm_store_ps(tmpptr + 4 * 11, _rb);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 48;
}
}
for (; i + 7 < tiles; i += 8)
{
float* tmpptr = tm2.row(i / 12 + (i % 12) / 8);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x8
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r2 = _mm_load_ps(r0 + 4 * 2);
__m128 _r3 = _mm_load_ps(r0 + 4 * 3);
__m128 _r4 = _mm_load_ps(r0 + 4 * 4);
__m128 _r5 = _mm_load_ps(r0 + 4 * 5);
__m128 _r6 = _mm_load_ps(r0 + 4 * 6);
__m128 _r7 = _mm_load_ps(r0 + 4 * 7);
_MM_TRANSPOSE4_PS(_r0, _r1, _r2, _r3);
_MM_TRANSPOSE4_PS(_r4, _r5, _r6, _r7);
_mm_store_ps(tmpptr, _r0);
_mm_store_ps(tmpptr + 4, _r4);
_mm_store_ps(tmpptr + 4 * 2, _r1);
_mm_store_ps(tmpptr + 4 * 3, _r5);
_mm_store_ps(tmpptr + 4 * 4, _r2);
_mm_store_ps(tmpptr + 4 * 5, _r6);
_mm_store_ps(tmpptr + 4 * 6, _r3);
_mm_store_ps(tmpptr + 4 * 7, _r7);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 32;
}
}
for (; i + 3 < tiles; i += 4)
{
float* tmpptr = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x4
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r2 = _mm_load_ps(r0 + 4 * 2);
__m128 _r3 = _mm_load_ps(r0 + 4 * 3);
_MM_TRANSPOSE4_PS(_r0, _r1, _r2, _r3);
_mm_store_ps(tmpptr, _r0);
_mm_store_ps(tmpptr + 4, _r1);
_mm_store_ps(tmpptr + 4 * 2, _r2);
_mm_store_ps(tmpptr + 4 * 3, _r3);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 16;
}
}
for (; i + 1 < tiles; i += 2)
{
float* tmpptr = 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) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x2
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r01_0 = _mm_unpacklo_ps(_r0, _r1);
__m128 _r01_1 = _mm_unpackhi_ps(_r0, _r1);
_mm_store_ps(tmpptr, _r01_0);
_mm_store_ps(tmpptr + 4, _r01_1);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 8;
}
}
for (; i < tiles; i++)
{
float* tmpptr = 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) * 4;
for (int q = 0; q < inch; q++)
{
__m128 _val = _mm_load_ps(r0);
_mm_store_ps(tmpptr, _val);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 4;
}
}
}
bottom_blob_tm = Mat();
// permute end
top_blob_tm.create(tiles, 64, outch, 4u * elempack, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
float* output0_tm = top_blob_tm.channel(p);
const Mat kernel0_tm = kernel_tm.channel(p);
for (int r = 0; r < 64; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
__m128 _sum2 = _mm_setzero_ps();
__m128 _sum3 = _mm_setzero_ps();
__m128 _sum4 = _mm_setzero_ps();
__m128 _sum5 = _mm_setzero_ps();
__m128 _sum6 = _mm_setzero_ps();
__m128 _sum7 = _mm_setzero_ps();
__m128 _sum8 = _mm_setzero_ps();
__m128 _sum9 = _mm_setzero_ps();
__m128 _suma = _mm_setzero_ps();
__m128 _sumb = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
__m128 _val2 = _mm_load1_ps(r0 + 2);
__m128 _val3 = _mm_load1_ps(r0 + 3);
__m128 _val4 = _mm_load1_ps(r0 + 4);
__m128 _val5 = _mm_load1_ps(r0 + 5);
__m128 _val6 = _mm_load1_ps(r0 + 6);
__m128 _val7 = _mm_load1_ps(r0 + 7);
__m128 _val8 = _mm_load1_ps(r0 + 8);
__m128 _val9 = _mm_load1_ps(r0 + 9);
__m128 _vala = _mm_load1_ps(r0 + 10);
__m128 _valb = _mm_load1_ps(r0 + 11);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
_sum2 = _mm_comp_fmadd_ps(_val2, _w0, _sum2);
_sum3 = _mm_comp_fmadd_ps(_val3, _w0, _sum3);
_sum4 = _mm_comp_fmadd_ps(_val4, _w0, _sum4);
_sum5 = _mm_comp_fmadd_ps(_val5, _w0, _sum5);
_sum6 = _mm_comp_fmadd_ps(_val6, _w0, _sum6);
_sum7 = _mm_comp_fmadd_ps(_val7, _w0, _sum7);
_sum8 = _mm_comp_fmadd_ps(_val8, _w0, _sum8);
_sum9 = _mm_comp_fmadd_ps(_val9, _w0, _sum9);
_suma = _mm_comp_fmadd_ps(_vala, _w0, _suma);
_sumb = _mm_comp_fmadd_ps(_valb, _w0, _sumb);
r0 += 12;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
_mm_store_ps(output0_tm + 4 * 2, _sum2);
_mm_store_ps(output0_tm + 4 * 3, _sum3);
_mm_store_ps(output0_tm + 4 * 4, _sum4);
_mm_store_ps(output0_tm + 4 * 5, _sum5);
_mm_store_ps(output0_tm + 4 * 6, _sum6);
_mm_store_ps(output0_tm + 4 * 7, _sum7);
_mm_store_ps(output0_tm + 4 * 8, _sum8);
_mm_store_ps(output0_tm + 4 * 9, _sum9);
_mm_store_ps(output0_tm + 4 * 10, _suma);
_mm_store_ps(output0_tm + 4 * 11, _sumb);
output0_tm += 4 * 12;
}
for (; i + 7 < tiles; i += 8)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
__m128 _sum2 = _mm_setzero_ps();
__m128 _sum3 = _mm_setzero_ps();
__m128 _sum4 = _mm_setzero_ps();
__m128 _sum5 = _mm_setzero_ps();
__m128 _sum6 = _mm_setzero_ps();
__m128 _sum7 = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
__m128 _val2 = _mm_load1_ps(r0 + 2);
__m128 _val3 = _mm_load1_ps(r0 + 3);
__m128 _val4 = _mm_load1_ps(r0 + 4);
__m128 _val5 = _mm_load1_ps(r0 + 5);
__m128 _val6 = _mm_load1_ps(r0 + 6);
__m128 _val7 = _mm_load1_ps(r0 + 7);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
_sum2 = _mm_comp_fmadd_ps(_val2, _w0, _sum2);
_sum3 = _mm_comp_fmadd_ps(_val3, _w0, _sum3);
_sum4 = _mm_comp_fmadd_ps(_val4, _w0, _sum4);
_sum5 = _mm_comp_fmadd_ps(_val5, _w0, _sum5);
_sum6 = _mm_comp_fmadd_ps(_val6, _w0, _sum6);
_sum7 = _mm_comp_fmadd_ps(_val7, _w0, _sum7);
r0 += 8;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
_mm_store_ps(output0_tm + 4 * 2, _sum2);
_mm_store_ps(output0_tm + 4 * 3, _sum3);
_mm_store_ps(output0_tm + 4 * 4, _sum4);
_mm_store_ps(output0_tm + 4 * 5, _sum5);
_mm_store_ps(output0_tm + 4 * 6, _sum6);
_mm_store_ps(output0_tm + 4 * 7, _sum7);
output0_tm += 4 * 8;
}
for (; i + 3 < tiles; i += 4)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
__m128 _sum2 = _mm_setzero_ps();
__m128 _sum3 = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
__m128 _val2 = _mm_load1_ps(r0 + 2);
__m128 _val3 = _mm_load1_ps(r0 + 3);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
_sum2 = _mm_comp_fmadd_ps(_val2, _w0, _sum2);
_sum3 = _mm_comp_fmadd_ps(_val3, _w0, _sum3);
r0 += 4;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
_mm_store_ps(output0_tm + 4 * 2, _sum2);
_mm_store_ps(output0_tm + 4 * 3, _sum3);
output0_tm += 4 * 4;
}
for (; i + 1 < tiles; i += 2)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
r0 += 2;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
output0_tm += 4 * 2;
}
for (; i < tiles; i++)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
_sum = _mm_comp_fmadd_ps(_val0, _w0, _sum);
r0 += 1;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum);
output0_tm += 4;
}
}
}
}
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);
}
{
conv3x3s1_winograd64_transform_output_pack4_sse(top_blob_tm, top_blob_bordered, bias, opt);
}
// 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);
}
static void conv3x3s1_winograd42_transform_kernel_pack4_sse(const Mat& kernel, Mat& kernel_tm_pack4, int inch, int outch, const Option& opt)
{
// winograd42 transform kernel
Mat kernel_tm(6 * 6, inch, outch);
const float ktm[6][3] = {
{1.0f / 4, 0.0f, 0.0f},
{-1.0f / 6, -1.0f / 6, -1.0f / 6},
{-1.0f / 6, 1.0f / 6, -1.0f / 6},
{1.0f / 24, 1.0f / 12, 1.0f / 6},
{1.0f / 24, -1.0f / 12, 1.0f / 6},
{0.0f, 0.0f, 1.0f}
};
#pragma omp parallel for num_threads(opt.num_threads)
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
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
// h
float tmp[6][3];
for (int i = 0; i < 6; 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];
}
// U
for (int j = 0; j < 6; j++)
{
float* tmpp = &tmp[j][0];
for (int i = 0; i < 6; i++)
{
kernel_tm0[j * 6 + i] = tmpp[0] * ktm[i][0] + tmpp[1] * ktm[i][1] + tmpp[2] * ktm[i][2];
}
}
}
}
// interleave
// src = 36-inch-outch
// dst = pb-pa-inch/pa-36-outch/pb
kernel_tm_pack4.create(inch / 4, 36, outch / 4, (size_t)4u * 4 * 4, 4 * 4);
for (int q = 0; q + (4 - 1) < outch; q += 4)
{
Mat g0 = kernel_tm_pack4.channel(q / 4);
for (int k = 0; k < 36; k++)
{
float* g00 = g0.row<float>(k);
for (int p = 0; p + (4 - 1) < inch; p += 4)
{
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 4; j++)
{
const float* k00 = kernel_tm.channel(q + j).row(p + i);
g00[0] = (float)k00[k];
g00++;
}
}
}
}
}
}
static void conv3x3s1_winograd42_pack4_sse(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 4n+2
Mat bottom_blob_bordered = bottom_blob;
outw = (outw + 3) / 4 * 4;
outh = (outh + 3) / 4 * 4;
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);
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tiles = outw / 4;
int h_tiles = outh / 4;
int tiles = w_tiles * h_tiles;
bottom_blob_tm.create(tiles, 36, inch, elemsize, elempack, opt.workspace_allocator);
conv3x3s1_winograd42_transform_input_pack4_sse(bottom_blob_bordered, bottom_blob_tm, opt);
}
bottom_blob_bordered = Mat();
// END transform input
// BEGIN dot
Mat top_blob_tm;
{
int w_tm = outw / 4 * 6;
int h_tm = outh / 4 * 6;
const int tiles = h_tm / 6 * w_tm / 6;
// permute
// bottom_blob_tm.create(tiles, 36, inch, elemsize, elempack, opt.workspace_allocator);
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, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 8)
bottom_blob_tm2.create(8 * inch, tiles / 8 + (tiles % 8) / 4 + (tiles % 4) / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 36, 4u * elempack, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 36, 4u * elempack, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int r = 0; r < 36; r++)
{
Mat tm2 = bottom_blob_tm2.channel(r);
// tile
int i = 0;
for (; i + 11 < tiles; i += 12)
{
float* tmpptr = tm2.row(i / 12);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x12
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r2 = _mm_load_ps(r0 + 4 * 2);
__m128 _r3 = _mm_load_ps(r0 + 4 * 3);
__m128 _r4 = _mm_load_ps(r0 + 4 * 4);
__m128 _r5 = _mm_load_ps(r0 + 4 * 5);
__m128 _r6 = _mm_load_ps(r0 + 4 * 6);
__m128 _r7 = _mm_load_ps(r0 + 4 * 7);
__m128 _r8 = _mm_load_ps(r0 + 4 * 8);
__m128 _r9 = _mm_load_ps(r0 + 4 * 9);
__m128 _ra = _mm_load_ps(r0 + 4 * 10);
__m128 _rb = _mm_load_ps(r0 + 4 * 11);
_MM_TRANSPOSE4_PS(_r0, _r1, _r2, _r3);
_MM_TRANSPOSE4_PS(_r4, _r5, _r6, _r7);
_MM_TRANSPOSE4_PS(_r8, _r9, _ra, _rb);
_mm_store_ps(tmpptr, _r0);
_mm_store_ps(tmpptr + 4, _r4);
_mm_store_ps(tmpptr + 4 * 2, _r8);
_mm_store_ps(tmpptr + 4 * 3, _r1);
_mm_store_ps(tmpptr + 4 * 4, _r5);
_mm_store_ps(tmpptr + 4 * 5, _r9);
_mm_store_ps(tmpptr + 4 * 6, _r2);
_mm_store_ps(tmpptr + 4 * 7, _r6);
_mm_store_ps(tmpptr + 4 * 8, _ra);
_mm_store_ps(tmpptr + 4 * 9, _r3);
_mm_store_ps(tmpptr + 4 * 10, _r7);
_mm_store_ps(tmpptr + 4 * 11, _rb);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 48;
}
}
for (; i + 7 < tiles; i += 8)
{
float* tmpptr = tm2.row(i / 12 + (i % 12) / 8);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x8
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r2 = _mm_load_ps(r0 + 4 * 2);
__m128 _r3 = _mm_load_ps(r0 + 4 * 3);
__m128 _r4 = _mm_load_ps(r0 + 4 * 4);
__m128 _r5 = _mm_load_ps(r0 + 4 * 5);
__m128 _r6 = _mm_load_ps(r0 + 4 * 6);
__m128 _r7 = _mm_load_ps(r0 + 4 * 7);
_MM_TRANSPOSE4_PS(_r0, _r1, _r2, _r3);
_MM_TRANSPOSE4_PS(_r4, _r5, _r6, _r7);
_mm_store_ps(tmpptr, _r0);
_mm_store_ps(tmpptr + 4, _r4);
_mm_store_ps(tmpptr + 4 * 2, _r1);
_mm_store_ps(tmpptr + 4 * 3, _r5);
_mm_store_ps(tmpptr + 4 * 4, _r2);
_mm_store_ps(tmpptr + 4 * 5, _r6);
_mm_store_ps(tmpptr + 4 * 6, _r3);
_mm_store_ps(tmpptr + 4 * 7, _r7);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 32;
}
}
for (; i + 3 < tiles; i += 4)
{
float* tmpptr = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x4
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r2 = _mm_load_ps(r0 + 4 * 2);
__m128 _r3 = _mm_load_ps(r0 + 4 * 3);
_MM_TRANSPOSE4_PS(_r0, _r1, _r2, _r3);
_mm_store_ps(tmpptr, _r0);
_mm_store_ps(tmpptr + 4, _r1);
_mm_store_ps(tmpptr + 4 * 2, _r2);
_mm_store_ps(tmpptr + 4 * 3, _r3);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 16;
}
}
for (; i + 1 < tiles; i += 2)
{
float* tmpptr = 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) * 4;
for (int q = 0; q < inch; q++)
{
// transpose 4x2
__m128 _r0 = _mm_load_ps(r0);
__m128 _r1 = _mm_load_ps(r0 + 4);
__m128 _r01_0 = _mm_unpacklo_ps(_r0, _r1);
__m128 _r01_1 = _mm_unpackhi_ps(_r0, _r1);
_mm_store_ps(tmpptr, _r01_0);
_mm_store_ps(tmpptr + 4, _r01_1);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 8;
}
}
for (; i < tiles; i++)
{
float* tmpptr = 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) * 4;
for (int q = 0; q < inch; q++)
{
__m128 _val = _mm_load_ps(r0);
_mm_store_ps(tmpptr, _val);
r0 += bottom_blob_tm.cstep * 4;
tmpptr += 4;
}
}
}
bottom_blob_tm = Mat();
// permute end
top_blob_tm.create(tiles, 36, outch, 4u * elempack, 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 < 36; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
__m128 _sum2 = _mm_setzero_ps();
__m128 _sum3 = _mm_setzero_ps();
__m128 _sum4 = _mm_setzero_ps();
__m128 _sum5 = _mm_setzero_ps();
__m128 _sum6 = _mm_setzero_ps();
__m128 _sum7 = _mm_setzero_ps();
__m128 _sum8 = _mm_setzero_ps();
__m128 _sum9 = _mm_setzero_ps();
__m128 _suma = _mm_setzero_ps();
__m128 _sumb = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
__m128 _val2 = _mm_load1_ps(r0 + 2);
__m128 _val3 = _mm_load1_ps(r0 + 3);
__m128 _val4 = _mm_load1_ps(r0 + 4);
__m128 _val5 = _mm_load1_ps(r0 + 5);
__m128 _val6 = _mm_load1_ps(r0 + 6);
__m128 _val7 = _mm_load1_ps(r0 + 7);
__m128 _val8 = _mm_load1_ps(r0 + 8);
__m128 _val9 = _mm_load1_ps(r0 + 9);
__m128 _vala = _mm_load1_ps(r0 + 10);
__m128 _valb = _mm_load1_ps(r0 + 11);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
_sum2 = _mm_comp_fmadd_ps(_val2, _w0, _sum2);
_sum3 = _mm_comp_fmadd_ps(_val3, _w0, _sum3);
_sum4 = _mm_comp_fmadd_ps(_val4, _w0, _sum4);
_sum5 = _mm_comp_fmadd_ps(_val5, _w0, _sum5);
_sum6 = _mm_comp_fmadd_ps(_val6, _w0, _sum6);
_sum7 = _mm_comp_fmadd_ps(_val7, _w0, _sum7);
_sum8 = _mm_comp_fmadd_ps(_val8, _w0, _sum8);
_sum9 = _mm_comp_fmadd_ps(_val9, _w0, _sum9);
_suma = _mm_comp_fmadd_ps(_vala, _w0, _suma);
_sumb = _mm_comp_fmadd_ps(_valb, _w0, _sumb);
r0 += 12;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
_mm_store_ps(output0_tm + 4 * 2, _sum2);
_mm_store_ps(output0_tm + 4 * 3, _sum3);
_mm_store_ps(output0_tm + 4 * 4, _sum4);
_mm_store_ps(output0_tm + 4 * 5, _sum5);
_mm_store_ps(output0_tm + 4 * 6, _sum6);
_mm_store_ps(output0_tm + 4 * 7, _sum7);
_mm_store_ps(output0_tm + 4 * 8, _sum8);
_mm_store_ps(output0_tm + 4 * 9, _sum9);
_mm_store_ps(output0_tm + 4 * 10, _suma);
_mm_store_ps(output0_tm + 4 * 11, _sumb);
output0_tm += 4 * 12;
}
for (; i + 7 < tiles; i += 8)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
__m128 _sum2 = _mm_setzero_ps();
__m128 _sum3 = _mm_setzero_ps();
__m128 _sum4 = _mm_setzero_ps();
__m128 _sum5 = _mm_setzero_ps();
__m128 _sum6 = _mm_setzero_ps();
__m128 _sum7 = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
__m128 _val2 = _mm_load1_ps(r0 + 2);
__m128 _val3 = _mm_load1_ps(r0 + 3);
__m128 _val4 = _mm_load1_ps(r0 + 4);
__m128 _val5 = _mm_load1_ps(r0 + 5);
__m128 _val6 = _mm_load1_ps(r0 + 6);
__m128 _val7 = _mm_load1_ps(r0 + 7);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
_sum2 = _mm_comp_fmadd_ps(_val2, _w0, _sum2);
_sum3 = _mm_comp_fmadd_ps(_val3, _w0, _sum3);
_sum4 = _mm_comp_fmadd_ps(_val4, _w0, _sum4);
_sum5 = _mm_comp_fmadd_ps(_val5, _w0, _sum5);
_sum6 = _mm_comp_fmadd_ps(_val6, _w0, _sum6);
_sum7 = _mm_comp_fmadd_ps(_val7, _w0, _sum7);
r0 += 8;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
_mm_store_ps(output0_tm + 4 * 2, _sum2);
_mm_store_ps(output0_tm + 4 * 3, _sum3);
_mm_store_ps(output0_tm + 4 * 4, _sum4);
_mm_store_ps(output0_tm + 4 * 5, _sum5);
_mm_store_ps(output0_tm + 4 * 6, _sum6);
_mm_store_ps(output0_tm + 4 * 7, _sum7);
output0_tm += 4 * 8;
}
for (; i + 3 < tiles; i += 4)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
__m128 _sum2 = _mm_setzero_ps();
__m128 _sum3 = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
__m128 _val2 = _mm_load1_ps(r0 + 2);
__m128 _val3 = _mm_load1_ps(r0 + 3);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
_sum2 = _mm_comp_fmadd_ps(_val2, _w0, _sum2);
_sum3 = _mm_comp_fmadd_ps(_val3, _w0, _sum3);
r0 += 4;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
_mm_store_ps(output0_tm + 4 * 2, _sum2);
_mm_store_ps(output0_tm + 4 * 3, _sum3);
output0_tm += 4 * 4;
}
for (; i + 1 < tiles; i += 2)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
const float* k0 = kernel0_tm.row(r);
int nn = inch * 4; // inch always > 0
__m128 _sum0 = _mm_setzero_ps();
__m128 _sum1 = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
__m128 _val1 = _mm_load1_ps(r0 + 1);
_sum0 = _mm_comp_fmadd_ps(_val0, _w0, _sum0);
_sum1 = _mm_comp_fmadd_ps(_val1, _w0, _sum1);
r0 += 2;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum0);
_mm_store_ps(output0_tm + 4, _sum1);
output0_tm += 4 * 2;
}
for (; i < tiles; i++)
{
const float* r0 = bb2.row<const float>(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
const float* k0 = kernel0_tm.row<const float>(r);
int nn = inch * 4; // inch always > 0
__m128 _sum = _mm_setzero_ps();
for (int j = 0; j < nn; j++)
{
__m128 _w0 = _mm_load_ps(k0);
__m128 _val0 = _mm_load1_ps(r0);
_sum = _mm_comp_fmadd_ps(_val0, _w0, _sum);
r0 += 1;
k0 += 4;
}
_mm_store_ps(output0_tm, _sum);
output0_tm += 4;
}
}
}
}
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);
}
{
conv3x3s1_winograd42_transform_output_pack4_sse(top_blob_tm, top_blob_bordered, bias, opt);
}
// 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);
}
|
diagmm_x_bsr_u_row.c | #include "alphasparse/kernel.h"
#include "alphasparse/util.h"
#include <memory.h>
#include "alphasparse/opt.h"
#ifdef _OPENMP
#include <omp.h>
#endif
alphasparse_status_t ONAME(const ALPHA_Number alpha, const ALPHA_SPMAT_BSR *mat, const ALPHA_Number *x, const ALPHA_INT columns, const ALPHA_INT ldx, const ALPHA_Number beta, ALPHA_Number *y, const ALPHA_INT ldy)
{
ALPHA_INT rowC = mat->rows * mat->block_size;
ALPHA_INT colC = columns;
ALPHA_INT num_threads = alpha_get_thread_num();
#ifdef _OPENMP
#pragma omp parallel for num_threads(num_threads)
#endif
for (ALPHA_INT r = 0; r < rowC; ++r)
{
for (ALPHA_INT c = 0; c < colC; ++c)
{
ALPHA_Number t1, t2;
alpha_mul(t1, beta, y[index2(r, c, ldy)]);
alpha_mul(t2, alpha, x[index2(r, c, ldy)]);
alpha_add(y[index2(r, c, ldy)], t1, t2);
}
}
return ALPHA_SPARSE_STATUS_SUCCESS;
}
|
eavlReduceOp_1.h | // Copyright 2010-2014 UT-Battelle, LLC. See LICENSE.txt for more information.
#ifndef EAVL_REDUCE_OP_1_H
#define EAVL_REDUCE_OP_1_H
#include "eavlOperation.h"
#include "eavlArray.h"
#include "eavlOpDispatch_io1.h"
#include "eavlTimer.h"
#ifdef HAVE_OPENMP
#include <omp.h>
#endif
#ifndef DOXYGEN
#ifdef HAVE_OPENMP
template <class F,
class IO0>
struct cpuReduceOp_1_function
{
static void call(int n, int &dummy,
IO0 *i0, int i0div, int i0mod, int i0mul, int i0add,
IO0 *o0, int o0mul, int o0add,
F &functor)
{
if (n == 0)
{
*o0 = functor.identity();
return;
}
IO0 *tmp = NULL;
#pragma omp parallel default(none) shared(cerr,tmp,n,i0,i0div,i0mod,i0mul,i0add,o0,o0mul,o0add,functor)
{
int nthreads = std::min(omp_get_num_threads(), n);
int threadid = omp_get_thread_num();
#pragma omp single
{
tmp = new IO0[nthreads];
for (int i=0; i<nthreads; i++)
{
int index_i0 = ((i / i0div) % i0mod) * i0mul + i0add;
tmp[i] = i0[index_i0];
}
}
#pragma omp barrier
// we might be able to change this to use a omp for directive,
// but if so, just do nthreads to n, not strided
for (int i=nthreads+threadid; i<n; i+=nthreads)
{
int index_i0 = ((i / i0div) % i0mod) * i0mul + i0add;
tmp[threadid] = functor(i0[index_i0], tmp[threadid]);
}
#pragma omp barrier
#pragma omp single
{
*o0 = tmp[0];
for (int i=1; i<nthreads; i++)
{
*o0 = functor(tmp[i],*o0);
}
}
}
delete[] tmp;
}
};
#else
template <class F,
class IO0>
struct cpuReduceOp_1_function
{
static void call(int n, int &dummy,
IO0 *i0, int i0div, int i0mod, int i0mul, int i0add,
IO0 *o0, int o0mul, int o0add,
F &functor)
{
if (n == 0)
{
*o0 = functor.identity();
return;
}
*o0 = *i0;
for (int i=1; i<n; i++)
{
int index_i0 = ((i / i0div) % i0mod) * i0mul + i0add;
*o0 = functor(i0[index_i0], *o0);
}
}
};
#endif
#if defined __CUDACC__
// Reduction Kernel
template <class F, class T, int blockSize>
__global__ void
reduceKernel_1(int n,
const T * __restrict__ i0, int i0div, int i0mod, int i0mul, int i0add,
T * __restrict__ o0, int o0mul, int o0add,
F functor,
T identity)
{
const unsigned int tid = threadIdx.x;
unsigned int i = (blockIdx.x*(blockDim.x*2)) + tid;
const unsigned int gridSize = blockDim.x*2*gridDim.x;
volatile __shared__ T sdata[256];
sdata[tid] = identity;
// Reduce multiple elements per thread
while (i < n)
{
sdata[tid] = functor(sdata[tid], i0[((i/i0div)%i0mod)*i0mul+i0add]);
if (i+blockSize < n)
sdata[tid] = functor(sdata[tid], i0[(((i+blockSize)/i0div)%i0mod)*i0mul+i0add]);
i += gridSize;
}
__syncthreads();
// Reduce the contents of shared memory
// NB: This is an unrolled loop, and assumes warp-syncrhonous
// execution.
if (blockSize >= 512)
{
if (tid < 256)
{
sdata[tid] = functor(sdata[tid], sdata[tid + 256]);
}
__syncthreads();
}
if (blockSize >= 256)
{
if (tid < 128)
{
sdata[tid] = functor(sdata[tid], sdata[tid + 128]);
}
__syncthreads();
}
if (blockSize >= 128)
{
if (tid < 64)
{
sdata[tid] = functor(sdata[tid], sdata[tid + 64]);
}
__syncthreads();
}
if (tid < warpSize)
{
// NB2: This section would also need __sync calls if warp
// synchronous execution were not assumed
if (blockSize >= 64) sdata[tid] = functor(sdata[tid], sdata[tid + 32]);
if (blockSize >= 32) sdata[tid] = functor(sdata[tid], sdata[tid + 16]);
if (blockSize >= 16) sdata[tid] = functor(sdata[tid], sdata[tid + 8]);
if (blockSize >= 8) sdata[tid] = functor(sdata[tid], sdata[tid + 4]);
if (blockSize >= 4) sdata[tid] = functor(sdata[tid], sdata[tid + 2]);
if (blockSize >= 2) sdata[tid] = functor(sdata[tid], sdata[tid + 1]);
}
// Write result for this block to global memory
if (tid == 0)
{
o0[blockIdx.x*o0mul+o0add] = sdata[0];
}
}
template<class T>
struct Reduce_Temp_Storage
{
static int nvals;
static T *device;
static T *host;
};
template <class T> int Reduce_Temp_Storage<T>::nvals = 0;
template <class T> T *Reduce_Temp_Storage<T>::device = NULL;
template <class T> T *Reduce_Temp_Storage<T>::host = NULL;
///\todo: big question: do we WANT the reduction to put the result
/// in an output array? or just return it to the host?
template <class F, class IO0>
struct gpuReduceOp_1_function
{
static void call(int n, int &dummy,
IO0 *d_i0, int i0div, int i0mod, int i0mul, int i0add,
IO0 *d_o0, int o0mul, int o0add,
F &functor)
{
int numBlocks = 64;
if (Reduce_Temp_Storage<IO0>::nvals < numBlocks)
{
if (Reduce_Temp_Storage<IO0>::device)
cudaFree(Reduce_Temp_Storage<IO0>::device);
// allocate at least 4k
Reduce_Temp_Storage<IO0>::nvals = (numBlocks < 4096) ? 4096 : numBlocks;
cudaMalloc((void**)&Reduce_Temp_Storage<IO0>::device,
Reduce_Temp_Storage<IO0>::nvals * sizeof(IO0));
Reduce_Temp_Storage<IO0>::host = new IO0[Reduce_Temp_Storage<IO0>::nvals];
CUDA_CHECK_ERROR();
}
IO0 identity = functor.identity();
// fixing at 256 threads
reduceKernel_1<F,IO0,256><<<numBlocks, 256>>>(n,
d_i0, i0div, i0mod, i0mul, i0add,
Reduce_Temp_Storage<IO0>::device, 1, 0,
functor,
identity);
CUDA_CHECK_ERROR();
// cudaMemcpy(Reduce_Temp_Storage<IO0>::host,
// Reduce_Temp_Storage<IO0>::device,
// numBlocks * sizeof(IO0),
// cudaMemcpyDeviceToHost);
// for (int i=0; i<numBlocks; i++)
// cerr << "host["<<i<<"] = "<<Reduce_Temp_Storage<IO0>::host[i]<<endl;
reduceKernel_1<F,IO0,256><<<1, 256>>>(numBlocks,
Reduce_Temp_Storage<IO0>::device, 1, 1e9, 1, 0,
d_o0, o0mul, o0add,
functor,
identity);
CUDA_CHECK_ERROR();
}
};
#endif
#endif // DOXYGEN
// ****************************************************************************
// Class: eavlReduceOp_1
//
// Purpose:
/// A simple reduce operation; performs the given 2-input functor on an
/// input array (assuming it is associative and commutative, like addition),
/// and places the result in the first index in the output array.
//
// Programmer: Jeremy Meredith
// Creation: April 13, 2012
//
// Modifications: Matt Larse 10/21/2014 - added ability to process subset of
// input
// ****************************************************************************
template <class F>
class eavlReduceOp_1 : public eavlOperation
{
protected:
eavlArrayWithLinearIndex inArray0;
eavlArrayWithLinearIndex outArray0;
F functor;
int nitems;
public:
eavlReduceOp_1(eavlArrayWithLinearIndex in0,
eavlArrayWithLinearIndex out0,
F f)
: inArray0(in0), outArray0(out0), functor(f)
{
nitems = -1;
}
eavlReduceOp_1(eavlArrayWithLinearIndex in0,
eavlArrayWithLinearIndex out0,
F f, int itemsToProcess)
: inArray0(in0), outArray0(out0), functor(f)
{
nitems = itemsToProcess;
}
virtual void GoCPU()
{
if(nitems < 1) nitems = inArray0.array->GetNumberOfTuples();
int dummy;
eavlDispatch_io1<cpuReduceOp_1_function>(nitems, eavlArray::HOST, dummy,
inArray0.array, inArray0.div, inArray0.mod, inArray0.mul, inArray0.add,
outArray0.array, outArray0.mul, outArray0.add,
functor);
}
virtual void GoGPU()
{
#if defined __CUDACC__
if(nitems < 1) nitems = inArray0.array->GetNumberOfTuples();
int dummy;
eavlDispatch_io1<gpuReduceOp_1_function>(nitems, eavlArray::DEVICE, dummy,
inArray0.array, inArray0.div, inArray0.mod, inArray0.mul, inArray0.add,
outArray0.array, outArray0.mul, outArray0.add,
functor);
#else
THROW(eavlException,"Executing GPU code without compiling under CUDA compiler.");
#endif
}
};
#endif
|
Example_target_mapper.2.c | /*
* @@name: target_mapper_map.2.c
* @@type: C
* @@compilable: yes
* @@linkable: no
* @@expect: success
* @@version: omp_5.0
*/
#include <stdio.h>
// N MUST BE EVEN
#define N 100
typedef struct dzmat
{
double r_m[N][N];
double i_m[N][N];
} dzmat_t;
#pragma omp declare mapper( top_id: dzmat_t v) \
map(v.r_m[0:N/2][0:N], \
v.i_m[0:N/2][0:N] )
#pragma omp declare mapper(bottom_id: dzmat_t v) \
map(v.r_m[N/2:N/2][0:N], \
v.i_m[N/2:N/2][0:N] )
void dzmat_init(dzmat_t *z, int is, int ie, int n); //initialization
void host_add( dzmat_t *a, dzmat_t *b, dzmat_t *c, int n); //matrix add: c=a+b
int main()
{
dzmat_t a,b,c;
int is,ie;
is=0; ie=N/2-1; //top N/2 rows on device 0
#pragma omp target map(mapper(top_id), tofrom: a,b) device(0) \
firstprivate(is,ie) nowait
{
dzmat_init(&a,is,ie,N);
dzmat_init(&b,is,ie,N);
}
is=N/2; ie=N-1; //bottom N/2 rows on device 1
#pragma omp target map(mapper(bottom_id), tofrom: a,b) device(1) \
firstprivate(is,ie) nowait
{
dzmat_init(&a,is,ie,N);
dzmat_init(&b,is,ie,N);
}
#pragma omp taskwait
host_add(&a,&b,&c,N);
}
|
multi_thread_main.c | /*************************************************************************/
/* */
/* Language Technologies Institute */
/* Carnegie Mellon University */
/* Copyright (c) 2013 */
/* All Rights Reserved. */
/* */
/* Permission is hereby granted, free of charge, to use and distribute */
/* this software and its documentation without restriction, including */
/* without limitation the rights to use, copy, modify, merge, publish, */
/* distribute, sublicense, and/or sell copies of this work, and to */
/* permit persons to whom this work is furnished to do so, subject to */
/* the following conditions: */
/* 1. The code must retain the above copyright notice, this list of */
/* conditions and the following disclaimer. */
/* 2. Any modifications must be clearly marked as such. */
/* 3. Original authors' names are not deleted. */
/* 4. The authors' names are not used to endorse or promote products */
/* derived from this software without specific prior written */
/* permission. */
/* */
/* CARNEGIE MELLON UNIVERSITY AND THE CONTRIBUTORS TO THIS WORK */
/* DISCLAIM ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING */
/* ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT */
/* SHALL CARNEGIE MELLON UNIVERSITY NOR THE CONTRIBUTORS BE LIABLE */
/* FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES */
/* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN */
/* AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, */
/* ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF */
/* THIS SOFTWARE. */
/* */
/*************************************************************************/
/* Author: Alok Parlikar (aup@cs.cmu.edu) */
/* Date: January 2013 */
/*************************************************************************/
/* */
/* Multiple-thread test, do 50 synthesis calls over OMP_NUM_THREADS */
/* */
/* This particular test uses OMP to do the threads */
/* */
/*************************************************************************/
#include <stdio.h>
#include <omp.h>
#include <flite.h>
cst_voice *voice;
cst_voice *register_cmu_us_slt(const char *voxdir);
cst_val *flite_set_voice_list(const char *voxdir)
{
flite_voice_list = cons_val(voice_val(register_cmu_us_slt(voxdir)),flite_voice_list);
flite_voice_list = val_reverse(flite_voice_list);
return flite_voice_list;
}
void init() {
flite_init();
flite_set_voice_list(NULL);
voice = flite_voice_select("cmu_us_slt");
}
float synth_text(char* text) {
float dur;
dur = flite_text_to_speech(text, voice, "none");
return dur;
}
int main() {
init();
int i;
#pragma omp parallel for
for (i=0; i<50; i++) {
printf("%d %d %f\n", omp_get_thread_num(), i, synth_text("Hello"));
}
return 0;
}
|
pcgstrf.c | /*! \file
Copyright (c) 2003, The Regents of the University of California, through
Lawrence Berkeley National Laboratory (subject to receipt of any required
approvals from U.S. Dept. of Energy)
All rights reserved.
The source code is distributed under BSD license, see the file License.txt
at the top-level directory.
*/
#include <stdlib.h> /* for getenv and atoi */
#include "slu_mt_cdefs.h"
void
pcgstrf(superlumt_options_t *superlumt_options, SuperMatrix *A, int_t *perm_r,
SuperMatrix *L, SuperMatrix *U, Gstat_t *Gstat, int_t *info)
{
/*
* -- SuperLU MT routine (version 2.0) --
* Lawrence Berkeley National Lab, Univ. of California Berkeley,
* and Xerox Palo Alto Research Center.
* September 10, 2007
*
* Purpose
* =======
*
* PCGSTRF computes an LU factorization of a general sparse nrow-by-ncol
* matrix A using partial pivoting with row interchanges. The factorization
* has the form
* Pr * A = L * U
* where Pr is a row permutation matrix, L is lower triangular with unit
* diagonal elements (lower trapezoidal if A->nrow > A->ncol), and U is
* upper triangular (upper trapezoidal if A->nrow < A->ncol).
*
* Arguments
* =========
*
* superlumt_options (input) superlumt_options_t*
* The structure defines the parameters to control how the sparse
* LU factorization is performed. The following fields must be set
* by the user:
*
* o nprocs (int_t)
* Number of processes to be spawned and used for factorization.
*
* o refact (yes_no_t)
* Specifies whether this is first time or subsequent factorization.
* = NO: this factorization is treated as the first one;
* = YES: it means that a factorization was performed prior to this
* one. Therefore, this factorization will re-use some
* existing data structures, such as L and U storage, column
* elimination tree, and the symbolic information of the
* Householder matrix.
*
* o panel_size (int_t)
* A panel consists of at most panel_size consecutive columns.
*
* o relax (int_t)
* Degree of relaxing supernodes. If the number of nodes (columns)
* in a subtree of the elimination tree is less than relax, this
* subtree is considered as one supernode, regardless of the row
* structures of those columns.
*
* o diag_pivot_thresh (float)
* Diagonal pivoting threshold. At step j of Gaussian elimination,
* if abs(A_jj) >= diag_pivot_thresh * (max_(i>=j) abs(A_ij)),
* use A_jj as pivot. 0 <= diag_pivot_thresh <= 1. The default
* value is 1.0, corresponding to partial pivoting.
*
* o usepr (yes_no_t)
* Whether the pivoting will use perm_r specified by the user.
* = YES: use perm_r; perm_r is input, unchanged on exit.
* = NO: perm_r is determined by partial pivoting, and is output.
*
* o drop_tol (double) (NOT IMPLEMENTED)
* Drop tolerance parameter. At step j of the Gaussian elimination,
* if abs(A_ij)/(max_i abs(A_ij)) < drop_tol, drop entry A_ij.
* 0 <= drop_tol <= 1. The default value of drop_tol is 0,
* corresponding to not dropping any entry.
*
* o perm_c (int_t*)
* Column permutation vector of size A->ncol, which defines the
* permutation matrix Pc; perm_c[i] = j means column i of A is
* in position j in A*Pc.
*
* o perm_r (int_t*)
* Column permutation vector of size A->nrow.
* If superlumt_options->usepr = NO, this is an output argument.
*
* o work (void*) of size lwork
* User-supplied work space and space for the output data structures.
* Not referenced if lwork = 0;
*
* o lwork (int_t)
* Specifies the length of work array.
* = 0: allocate space internally by system malloc;
* > 0: use user-supplied work array of length lwork in bytes,
* returns error if space runs out.
* = -1: the routine guesses the amount of space needed without
* performing the factorization, and returns it in
* superlu_memusage->total_needed; no other side effects.
*
* A (input) SuperMatrix*
* Original matrix A, permuted by columns, of dimension
* (A->nrow, A->ncol). The type of A can be:
* Stype = NCP; Dtype = _D; Mtype = GE.
*
* perm_r (input/output) int_t*, dimension A->nrow
* Row permutation vector which defines the permutation matrix Pr,
* perm_r[i] = j means row i of A is in position j in Pr*A.
* If superlumt_options->usepr = NO, perm_r is output argument;
* If superlumt_options->usepr = YES, the pivoting routine will try
* to use the input perm_r, unless a certain threshold criterion
* is violated. In that case, perm_r is overwritten by a new
* permutation determined by partial pivoting or diagonal
* threshold pivoting.
*
* L (output) SuperMatrix*
* The factor L from the factorization Pr*A=L*U; use compressed row
* subscripts storage for supernodes, i.e., L has type:
* Stype = SCP, Dtype = _D, Mtype = TRLU.
*
* U (output) SuperMatrix*
* The factor U from the factorization Pr*A*Pc=L*U. Use column-wise
* storage scheme, i.e., U has types: Stype = NCP, Dtype = _D,
* Mtype = TRU.
*
* Gstat (output) Gstat_t*
* Record all the statistics about the factorization;
* See Gstat_t structure defined in slu_mt_util.h.
*
* info (output) int_t*
* = 0: successful exit
* < 0: if info = -i, the i-th argument had an illegal value
* > 0: if info = i, and i is
* <= A->ncol: U(i,i) is exactly zero. The factorization has
* been completed, but the factor U is exactly singular,
* and division by zero will occur if it is used to solve a
* system of equations.
* > A->ncol: number of bytes allocated when memory allocation
* failure occurred, plus A->ncol.
*
*/
pcgstrf_threadarg_t *pcgstrf_threadarg;
pxgstrf_shared_t pxgstrf_shared;
register int_t nprocs = superlumt_options->nprocs;
register int_t i, iinfo;
double *utime = Gstat->utime;
double usrtime, wtime;
double usertimer_();
#if ( MACH==SUN )
thread_t *thread_id;
#elif ( MACH==DEC || MACH==PTHREAD )
pthread_t *thread_id;
void *status;
#endif
void *pcgstrf_thread(void *);
/* --------------------------------------------------------------
Initializes the parallel data structures for pcgstrf_thread().
--------------------------------------------------------------*/
pcgstrf_threadarg = pcgstrf_thread_init(A, L, U, superlumt_options,
&pxgstrf_shared, Gstat, info);
if ( *info ) return;
/* Start timing factorization. */
usrtime = usertimer_();
wtime = SuperLU_timer_();
/* ------------------------------------------------------------
On a SUN multiprocessor system, use Solaris thread.
------------------------------------------------------------*/
#if ( MACH==SUN )
/* Create nproc threads for concurrent factorization. */
thread_id = (thread_t *) SUPERLU_MALLOC(nprocs * sizeof(thread_t));
for (i = 1; i < nprocs; ++i) {
#if ( PRNTlevel==1 )
printf(".. Create unbound threads: i " IFMT ", nprocs " IFMT "\n",
i, nprocs);
#endif
if ( (iinfo = thr_create(NULL, 0,
pcgstrf_thread, &(pcgstrf_threadarg[i]),
0, &thread_id[i])) )
{
fprintf(stderr, "thr_create: %d\n", iinfo);
SUPERLU_ABORT("thr_creat()");
}
}
pcgstrf_thread( &(pcgstrf_threadarg[0]) );
/* Wait for all threads to terminate. */
for (i = 1; i < nprocs; i++) thr_join(thread_id[i], 0, 0);
SUPERLU_FREE (thread_id);
/* _SOLARIS_2 */
/* ------------------------------------------------------------
On a DEC multiprocessor system, use pthread.
------------------------------------------------------------*/
#elif ( MACH==DEC ) /* Use DECthreads ... */
/* Create nproc threads for concurrent factorization. */
thread_id = (pthread_t *) SUPERLU_MALLOC(nprocs * sizeof(pthread_t));
for (i = 0; i < nprocs; ++i) {
if ( iinfo = pthread_create(&thread_id[i],
NULL,
pcgstrf_thread,
&(pcgstrf_threadarg[i])) ) {
fprintf(stderr, "pthread_create: %d\n", iinfo);
SUPERLU_ABORT("pthread_create()");
}
/* pthread_bind_to_cpu_np(thread_id[i], i);*/
}
/* Wait for all threads to terminate. */
for (i = 0; i < nprocs; i++)
pthread_join(thread_id[i], &status);
SUPERLU_FREE (thread_id);
/* _DEC */
/* ------------------------------------------------------------
On a SGI Power Challenge or Origin multiprocessor system,
use parallel C.
------------------------------------------------------------*/
#elif ( MACH==SGI || MACH==ORIGIN ) /* Use parallel C ... */
if ( getenv("MP_SET_NUMTHREADS") ) {
i = atoi(getenv("MP_SET_NUMTHREADS"));
if ( nprocs > i ) {
printf("nprocs=" IFMT "> environment allowed: MP_SET_NUMTHREADS=" IFMT "\n",
nprocs, i);
exit(-1);
}
}
#pragma parallel
#pragma shared (pcgstrf_threadarg)
/*#pragma numthreads (max = nprocs)*/
#pragma numthreads (nprocs)
{
pcgstrf_thread( pcgstrf_threadarg );
}
/* _SGI or _ORIGIN */
/* ------------------------------------------------------------
On a Cray PVP multiprocessor system, use microtasking.
------------------------------------------------------------*/
#elif ( MACH==CRAY_PVP ) /* Use C microtasking. */
if ( getenv("NCPUS") ) {
i = atoi(getenv("NCPUS"));
if ( nprocs > i ) {
printf("nprocs=" IFMT "> environment allowed: NCPUS=" IFMT "\n",
nprocs, i);
exit(-1);
}
}
#pragma _CRI taskloop private (i,nprocs) shared (pcgstrf_threadarg)
/* Stand-alone task loop */
for (i = 0; i < nprocs; ++i) {
pcgstrf_thread( &(pcgstrf_threadarg[i]) );
}
/* _CRAY_PVP */
/* ------------------------------------------------------------
Use POSIX threads.
------------------------------------------------------------*/
#elif ( MACH==PTHREAD ) /* Use pthread ... */
/* Create nproc threads for concurrent factorization. */
thread_id = (pthread_t *) SUPERLU_MALLOC(nprocs * sizeof(pthread_t));
for (i = 0; i < nprocs; ++i) {
if ( iinfo = pthread_create(&thread_id[i],
NULL,
pcgstrf_thread,
&(pcgstrf_threadarg[i])) ) {
fprintf(stderr, "pthread_create: " IFMT "\n", iinfo);
SUPERLU_ABORT("pthread_create()");
}
}
/* Wait for all threads to terminate. */
for (i = 0; i < nprocs; i++)
pthread_join(thread_id[i], &status);
SUPERLU_FREE (thread_id);
/* _PTHREAD */
/* ------------------------------------------------------------
Use openMP.
------------------------------------------------------------*/
#elif ( MACH==OPENMP ) /* Use openMP ... */
#pragma omp parallel for shared (pcgstrf_threadarg) private (i)
/* Stand-alone task loop */
for (i = 0; i < nprocs; ++i) {
pcgstrf_thread( &(pcgstrf_threadarg[i]) );
}
/* _OPENMP */
/* ------------------------------------------------------------
On all other systems, use single processor.
------------------------------------------------------------*/
#else
printf("pcgstrf() is not parallelized on this machine.\n");
printf("pcgstrf() will be run on single processor.\n");
pcgstrf_thread( &(pcgstrf_threadarg[0]) );
#endif
wtime = SuperLU_timer_() - wtime;
usrtime = usertimer_() - usrtime;
utime[FACT] = wtime;
#if ( PRNTlevel==1 )
printf(".. pcgstrf_thread() returns info " IFMT ", usrtime %.2f, wtime %.2f\n",
*info, usrtime, wtime);
#endif
/* check_mem_leak("after pcgstrf_thread()"); */
/* ------------------------------------------------------------
Clean up and free storage after multithreaded factorization.
------------------------------------------------------------*/
pcgstrf_thread_finalize(pcgstrf_threadarg, &pxgstrf_shared,
A, perm_r, L, U);
}
|
risingexp.c | #include<Python.h>
#include<numpy/arrayobject.h>
#include<math.h>
#include<omp.h>
#define IND(a,i) *((double *)(a->data+i*a->strides[0]))
static PyObject *risingexp(PyObject *self, PyObject *args, PyObject *keywds);
static PyObject *risingexp(PyObject *self, PyObject *args, PyObject *keywds)
{
PyObject *etc;
PyArrayObject *x,*y, *rampparams;
double goal,m,x0;
int i;
npy_intp dims[1];
// etc = PyList_New(0);
static char *kwlist[] = {"rampparams","x","etc",NULL};
if(!PyArg_ParseTupleAndKeywords(args,keywds,"OO|O",kwlist,&rampparams,&x,&etc))
{
return NULL;
}
goal = IND(rampparams,0);
m = IND(rampparams,1);
x0 = IND(rampparams,2);
dims[0] = x->dimensions[0];
y = (PyArrayObject *) PyArray_SimpleNew(1,dims,PyArray_DOUBLE);
#pragma omp parallel for
for(i=0;i<dims[0];i++)
{
IND(y,i) = goal*(1-exp(-1*m*(IND(x,i)-x0)));
}
return PyArray_Return(y);
}
static char module_docstring[]="\
This function creates a model that fits a ramp using a rising exponential.\n\
\n\
Parameters\n\
----------\n\
goal: goal as x -> inf\n\
m: rise exp\n\
x0: time offset\n\
x: Array of time/phase points\n\
\n\
Returns\n\
-------\n\
This function returns an array of y values by combining an eclipse and a rising exponential\n\
\n\
Revisions\n\
---------\n\
2008-06-24 Kevin Stevenson, UCF \n\
kevin218@knights.ucf.edu\n\n\
Original version\n\
2010-12-24 Nate Lust, UCF \n\
natelust at linux dot com\n\n\
2018-11-22 Jonathan Fraine, SSI\n\
jfraine at spacescience.org\n\
Updated c extensions to python3, with support for python2.7\n\n\
";
static PyMethodDef module_methods[] = {
{"risingexp",(PyCFunction)risingexp,METH_VARARGS|METH_KEYWORDS,module_docstring},{NULL}};
PyMODINIT_FUNC
#if PY_MAJOR_VERSION >= 3
PyInit_risingexp(void)
#else
initrisingexp(void)
#endif
{
#if PY_MAJOR_VERSION >= 3
PyObject *module;
static struct PyModuleDef moduledef = {
PyModuleDef_HEAD_INIT,
"risingexp", /* m_name */
module_docstring, /* m_doc */
-1, /* m_size */
module_methods, /* m_methods */
NULL, /* m_reload */
NULL, /* m_traverse */
NULL, /* m_clear */
NULL, /* m_free */
};
#endif
#if PY_MAJOR_VERSION >= 3
module = PyModule_Create(&moduledef);
if (!module)
return NULL;
/* Load `numpy` functionality. */
import_array();
return module;
#else
PyObject *m = Py_InitModule3("risingexp", module_methods, module_docstring);
if (m == NULL)
return;
/* Load `numpy` functionality. */
import_array();
#endif
}
|
GB_binop__gt_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__gt_int8)
// A.*B function (eWiseMult): GB (_AemultB_08__gt_int8)
// A.*B function (eWiseMult): GB (_AemultB_02__gt_int8)
// A.*B function (eWiseMult): GB (_AemultB_04__gt_int8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__gt_int8)
// A*D function (colscale): GB (_AxD__gt_int8)
// D*A function (rowscale): GB (_DxB__gt_int8)
// C+=B function (dense accum): GB (_Cdense_accumB__gt_int8)
// C+=b function (dense accum): GB (_Cdense_accumb__gt_int8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__gt_int8)
// C=scalar+B GB (_bind1st__gt_int8)
// C=scalar+B' GB (_bind1st_tran__gt_int8)
// C=A+scalar GB (_bind2nd__gt_int8)
// C=A'+scalar GB (_bind2nd_tran__gt_int8)
// C type: bool
// 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 \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int8_t aij = GBX (Ax, pA, A_iso)
// 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) \
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_INT8 || GxB_NO_GT_INT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__gt_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__gt_int8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__gt_int8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type int8_t
int8_t bwork = (*((int8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__gt_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
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_int8)
(
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_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__gt_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__gt_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__gt_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__gt_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__gt_int8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
int8_t x = (*((int8_t *) x_input)) ;
int8_t *Bx = (int8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int8_t bij = GBX (Bx, p, false) ;
Cx [p] = (x > bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__gt_int8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
int8_t *Ax = (int8_t *) Ax_input ;
int8_t y = (*((int8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int8_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij > y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x > aij) ; \
}
GrB_Info GB (_bind1st_tran__gt_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__gt_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
|
hmacSHA1_fmt_plug.c | /*
* This software is Copyright (c) 2012, 2013 magnum, and it is hereby released
* to the general public under the following terms: Redistribution and use in
* source and binary forms, with or without modification, are permitted.
*
* Originally based on hmac-md5 by Bartavelle
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_hmacSHA1;
#elif FMT_REGISTERS_H
john_register_one(&fmt_hmacSHA1);
#else
#include <string.h>
#include "arch.h"
#ifdef _OPENMP
#include <omp.h>
#define OMP_SCALE 2048 // tuned for i7 using SSE2 and w/o HT
#endif
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "sha.h"
#include "johnswap.h"
#include "sse-intrinsics.h"
#include "memdbg.h"
#define FORMAT_LABEL "HMAC-SHA1"
#define FORMAT_NAME ""
#ifdef MMX_COEF
#define SHA1_N (SHA1_SSE_PARA * MMX_COEF)
#endif
#define ALGORITHM_NAME "password is key, SHA1 " SHA1_ALGORITHM_NAME
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define PLAINTEXT_LENGTH 125
#define PAD_SIZE 64
#define BINARY_SIZE 20
#define BINARY_ALIGN sizeof(ARCH_WORD_32)
#define SALT_LENGTH PAD_SIZE
#define SALT_ALIGN MEM_ALIGN_NONE
#define CIPHERTEXT_LENGTH (2 * SALT_LENGTH + 2 * BINARY_SIZE)
#define HEXCHARS "0123456789abcdef"
#ifdef MMX_COEF
#define MIN_KEYS_PER_CRYPT SHA1_N
#define MAX_KEYS_PER_CRYPT SHA1_N
#define GETPOS(i, index) ((index & (MMX_COEF - 1)) * 4 + ((i) & (0xffffffff - 3)) * MMX_COEF + (3 - ((i) & 3)) + (index >> (MMX_COEF >> 1)) * SHA_BUF_SIZ * 4 * MMX_COEF)
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
static struct fmt_tests tests[] = {
{"The quick brown fox jumps over the lazy dog#de7c9b85b8b78aa6bc8a7a36f70a90701c9db4d9", "key"},
{"#fbdb1d1b18aa6c08324b7d64b71fb76370690e1d", ""},
{"Beppe#Grillo#DEBBDB4D549ABE59FAB67D0FB76B76FDBC4431F1", "Io credo nella reincarnazione e sono di Genova; per cui ho fatto testamento e mi sono lasciato tutto a me."},
{"7oTwG04WUjJ0BTDFFIkTJlgl#293b75c1f28def530c17fc8ae389008179bf4091", "late*night"}, // from the test suite
{NULL}
};
#ifdef MMX_COEF
#define cur_salt hmacsha1_cur_salt
static unsigned char *crypt_key;
static unsigned char *ipad, *prep_ipad;
static unsigned char *opad, *prep_opad;
JTR_ALIGN(16) unsigned char cur_salt[SHA_BUF_SIZ * 4 * SHA1_N];
static int bufsize;
#else
static unsigned char cur_salt[SALT_LENGTH];
static ARCH_WORD_32 (*crypt_key)[BINARY_SIZE / sizeof(ARCH_WORD_32)];
static unsigned char (*ipad)[PAD_SIZE];
static unsigned char (*opad)[PAD_SIZE];
static SHA_CTX *ipad_ctx;
static SHA_CTX *opad_ctx;
#endif
static char (*saved_plain)[PLAINTEXT_LENGTH + 1];
static int new_keys;
#define SALT_SIZE sizeof(cur_salt)
#ifdef MMX_COEF
static void clear_keys(void)
{
memset(ipad, 0x36, bufsize);
memset(opad, 0x5C, bufsize);
}
#endif
static void init(struct fmt_main *self)
{
#ifdef MMX_COEF
int i;
#endif
#ifdef _OPENMP
int omp_t = omp_get_num_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
#ifdef MMX_COEF
bufsize = sizeof(*opad) * self->params.max_keys_per_crypt * SHA_BUF_SIZ * 4;
crypt_key = mem_calloc_tiny(bufsize, MEM_ALIGN_SIMD);
ipad = mem_calloc_tiny(bufsize, MEM_ALIGN_SIMD);
opad = mem_calloc_tiny(bufsize, MEM_ALIGN_SIMD);
prep_ipad = mem_calloc_tiny(sizeof(*prep_ipad) * self->params.max_keys_per_crypt * BINARY_SIZE, MEM_ALIGN_SIMD);
prep_opad = mem_calloc_tiny(sizeof(*prep_opad) * self->params.max_keys_per_crypt * BINARY_SIZE, MEM_ALIGN_SIMD);
for (i = 0; i < self->params.max_keys_per_crypt; ++i) {
crypt_key[GETPOS(BINARY_SIZE, i)] = 0x80;
((unsigned int*)crypt_key)[15 * MMX_COEF + (i & 3) + (i >> 2) * SHA_BUF_SIZ * MMX_COEF] = (BINARY_SIZE + 64) << 3;
}
clear_keys();
#else
crypt_key = mem_calloc_tiny(sizeof(*crypt_key) * self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
opad = mem_calloc_tiny(sizeof(*opad) * self->params.max_keys_per_crypt, MEM_ALIGN_NONE);
ipad = mem_calloc_tiny(sizeof(*ipad) * self->params.max_keys_per_crypt, MEM_ALIGN_NONE);
ipad_ctx = mem_calloc_tiny(sizeof(*opad_ctx) * self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
opad_ctx = mem_calloc_tiny(sizeof(*opad_ctx) * self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
#endif
saved_plain = mem_calloc_tiny(sizeof(*saved_plain) * self->params.max_keys_per_crypt, MEM_ALIGN_NONE);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
int pos, i;
char *p;
p = strrchr(ciphertext, '#'); // allow # in salt
if (!p || p > &ciphertext[strlen(ciphertext) - 1]) return 0;
i = (int)(p - ciphertext);
#if MMX_COEF
if(i > 55) return 0;
#else
if(i > SALT_LENGTH) return 0;
#endif
pos = i + 1;
if (strlen(ciphertext+pos) != BINARY_SIZE * 2) return 0;
for (i = pos; i < BINARY_SIZE*2+pos; i++)
{
if (!((('0' <= ciphertext[i])&&(ciphertext[i] <= '9')) ||
(('a' <= ciphertext[i])&&(ciphertext[i] <= 'f'))
|| (('A' <= ciphertext[i])&&(ciphertext[i] <= 'F'))))
return 0;
}
return 1;
}
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[CIPHERTEXT_LENGTH + 1];
strnzcpy(out, ciphertext, CIPHERTEXT_LENGTH + 1);
strlwr(strrchr(out, '#'));
return out;
}
static void set_salt(void *salt)
{
memcpy(&cur_salt, salt, SALT_SIZE);
}
static void set_key(char *key, int index)
{
int len;
#ifdef MMX_COEF
ARCH_WORD_32 *ipadp = (ARCH_WORD_32*)&ipad[GETPOS(3, index)];
ARCH_WORD_32 *opadp = (ARCH_WORD_32*)&opad[GETPOS(3, index)];
const ARCH_WORD_32 *keyp = (ARCH_WORD_32*)key;
unsigned int temp;
len = strlen(key);
memcpy(saved_plain[index], key, len);
saved_plain[index][len] = 0;
if (len > PAD_SIZE) {
unsigned char k0[BINARY_SIZE];
SHA_CTX ctx;
int i;
SHA1_Init(&ctx);
SHA1_Update(&ctx, key, len);
SHA1_Final(k0, &ctx);
keyp = (unsigned int*)k0;
for(i = 0; i < BINARY_SIZE / 4; i++, ipadp += MMX_COEF, opadp += MMX_COEF)
{
temp = JOHNSWAP(*keyp++);
*ipadp ^= temp;
*opadp ^= temp;
}
}
else
while(((temp = JOHNSWAP(*keyp++)) & 0xff000000)) {
if (!(temp & 0x00ff0000) || !(temp & 0x0000ff00))
{
((unsigned short*)ipadp)[1] ^=
(unsigned short)(temp >> 16);
((unsigned short*)opadp)[1] ^=
(unsigned short)(temp >> 16);
break;
}
*ipadp ^= temp;
*opadp ^= temp;
if (!(temp & 0x000000ff))
break;
ipadp += MMX_COEF;
opadp += MMX_COEF;
}
#else
int i;
len = strlen(key);
memcpy(saved_plain[index], key, len);
saved_plain[index][len] = 0;
memset(ipad[index], 0x36, PAD_SIZE);
memset(opad[index], 0x5C, PAD_SIZE);
if (len > PAD_SIZE) {
SHA_CTX ctx;
unsigned char k0[BINARY_SIZE];
SHA1_Init(&ctx);
SHA1_Update(&ctx, key, len);
SHA1_Final(k0, &ctx);
len = BINARY_SIZE;
for(i = 0; i < len; i++)
{
ipad[index][i] ^= k0[i];
opad[index][i] ^= k0[i];
}
}
else
for(i = 0; i < len; i++)
{
ipad[index][i] ^= key[i];
opad[index][i] ^= key[i];
}
#endif
new_keys = 1;
}
static char *get_key(int index)
{
return saved_plain[index];
}
static int cmp_all(void *binary, int count)
{
#ifdef MMX_COEF
unsigned int x, y = 0;
for(; y < (count + MMX_COEF - 1) / MMX_COEF; y++)
for(x = 0; x < MMX_COEF; x++)
{
// NOTE crypt_key is in input format (4 * SHA_BUF_SIZ * MMX_COEF)
if(((ARCH_WORD_32*)binary)[0] == ((ARCH_WORD_32*)crypt_key)[x + y * MMX_COEF * SHA_BUF_SIZ])
return 1;
}
return 0;
#else
int index = 0;
#if defined(_OPENMP) || (MAX_KEYS_PER_CRYPT > 1)
for (index = 0; index < count; index++)
#endif
if (((ARCH_WORD_32*)binary)[0] == crypt_key[index][0])
return 1;
return 0;
#endif
}
static int cmp_one(void *binary, int index)
{
#ifdef MMX_COEF
int i;
for(i = 0; i < (BINARY_SIZE/4); i++)
// NOTE crypt_key is in input format (4 * SHA_BUF_SIZ * MMX_COEF)
if (((ARCH_WORD_32*)binary)[i] != ((ARCH_WORD_32*)crypt_key)[i * MMX_COEF + (index & 3) + (index >> 2) * SHA_BUF_SIZ * MMX_COEF])
return 0;
return 1;
#else
return !memcmp(binary, crypt_key[index], BINARY_SIZE);
#endif
}
static int cmp_exact(char *source, int count)
{
return (1);
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
int count = *pcount;
int index = 0;
#if _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
#endif
{
#ifdef MMX_COEF
if (new_keys) {
SSESHA1body(&ipad[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_ipad[index * BINARY_SIZE],
NULL, SSEi_MIXED_IN);
SSESHA1body(&opad[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_opad[index * BINARY_SIZE],
NULL, SSEi_MIXED_IN);
}
SSESHA1body(cur_salt,
(unsigned int*)&crypt_key[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_ipad[index * BINARY_SIZE],
SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
SSESHA1body(&crypt_key[index * SHA_BUF_SIZ * 4],
(unsigned int*)&crypt_key[index * SHA_BUF_SIZ * 4],
(unsigned int*)&prep_opad[index * BINARY_SIZE],
SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
#else
SHA_CTX ctx;
if (new_keys) {
SHA1_Init(&ipad_ctx[index]);
SHA1_Update(&ipad_ctx[index], ipad[index], PAD_SIZE);
SHA1_Init(&opad_ctx[index]);
SHA1_Update(&opad_ctx[index], opad[index], PAD_SIZE);
}
memcpy(&ctx, &ipad_ctx[index], sizeof(ctx));
SHA1_Update(&ctx, cur_salt, strlen((char*)cur_salt));
SHA1_Final((unsigned char*) crypt_key[index], &ctx);
memcpy(&ctx, &opad_ctx[index], sizeof(ctx));
SHA1_Update(&ctx, crypt_key[index], BINARY_SIZE);
SHA1_Final((unsigned char*) crypt_key[index], &ctx);
#endif
}
new_keys = 0;
return count;
}
static void *binary(char *ciphertext)
{
static union {
unsigned char c[BINARY_SIZE];
ARCH_WORD_32 dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
// allow # in salt
p = strrchr(ciphertext, '#') + 1;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
#ifdef MMX_COEF
alter_endianity(out, BINARY_SIZE);
#endif
return (void*)out;
}
static void *salt(char *ciphertext)
{
static unsigned char salt[SALT_LENGTH];
#ifdef MMX_COEF
int i = 0;
int j;
unsigned total_len = 0;
#endif
memset(salt, 0, sizeof(salt));
// allow # in salt
memcpy(salt, ciphertext, strrchr(ciphertext, '#') - ciphertext);
#ifdef MMX_COEF
while(((unsigned char*)salt)[total_len])
{
for (i = 0; i < SHA1_N; ++i)
cur_salt[GETPOS(total_len, i)] = ((unsigned char*)salt)[total_len];
++total_len;
}
for (i = 0; i < SHA1_N; ++i)
cur_salt[GETPOS(total_len, i)] = 0x80;
for (j = total_len + 1; j < SALT_LENGTH; ++j)
for (i = 0; i < SHA1_N; ++i)
cur_salt[GETPOS(j, i)] = 0;
for (i = 0; i < SHA1_N; ++i)
((unsigned int*)cur_salt)[15 * MMX_COEF + (i & 3) + (i >> 2) * SHA_BUF_SIZ * MMX_COEF] = (total_len + 64) << 3;
return cur_salt;
#else
return salt;
#endif
}
#ifdef MMX_COEF
// NOTE crypt_key is in input format (4 * SHA_BUF_SIZ * MMX_COEF)
#define HASH_OFFSET (index & (MMX_COEF - 1)) + (index / MMX_COEF) * MMX_COEF * SHA_BUF_SIZ
static int get_hash_0(int index) { return ((ARCH_WORD_32*)crypt_key)[HASH_OFFSET] & 0xf; }
static int get_hash_1(int index) { return ((ARCH_WORD_32*)crypt_key)[HASH_OFFSET] & 0xff; }
static int get_hash_2(int index) { return ((ARCH_WORD_32*)crypt_key)[HASH_OFFSET] & 0xfff; }
static int get_hash_3(int index) { return ((ARCH_WORD_32*)crypt_key)[HASH_OFFSET] & 0xffff; }
static int get_hash_4(int index) { return ((ARCH_WORD_32*)crypt_key)[HASH_OFFSET] & 0xfffff; }
static int get_hash_5(int index) { return ((ARCH_WORD_32*)crypt_key)[HASH_OFFSET] & 0xffffff; }
static int get_hash_6(int index) { return ((ARCH_WORD_32*)crypt_key)[HASH_OFFSET] & 0x7ffffff; }
#else
static int get_hash_0(int index) { return crypt_key[index][0] & 0xf; }
static int get_hash_1(int index) { return crypt_key[index][0] & 0xff; }
static int get_hash_2(int index) { return crypt_key[index][0] & 0xfff; }
static int get_hash_3(int index) { return crypt_key[index][0] & 0xffff; }
static int get_hash_4(int index) { return crypt_key[index][0] & 0xfffff; }
static int get_hash_5(int index) { return crypt_key[index][0] & 0xffffff; }
static int get_hash_6(int index) { return crypt_key[index][0] & 0x7ffffff; }
#endif
struct fmt_main fmt_hmacSHA1 = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP | FMT_SPLIT_UNIFIES_CASE,
#if FMT_MAIN_VERSION > 11
{ NULL },
#endif
tests
}, {
init,
fmt_default_done,
fmt_default_reset,
fmt_default_prepare,
valid,
split,
binary,
salt,
#if FMT_MAIN_VERSION > 11
{ NULL },
#endif
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
fmt_default_salt_hash,
set_salt,
set_key,
get_key,
#ifdef MMX_COEF
clear_keys,
#else
fmt_default_clear_keys,
#endif
crypt_all,
{
get_hash_0,
get_hash_1,
get_hash_2,
get_hash_3,
get_hash_4,
get_hash_5,
get_hash_6
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
mandelbrot.c | /*
To compile:
gcc -O3 -o mandelbrot mandelbrot.c png_util.c -I. -lpng -lm -fopenmp
Or just type:
module load gcc
make
To create an image with 4096 x 4096 pixels (last argument will be used to set number of threads):
./mandelbrot 4096 4096 1
*/
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include "png_util.h"
// Q2a: add include for OpenMP header file here:
#include <omp.h>
#define MXITER 1000
typedef struct {
double r;
double i;
}complex_t;
// return iterations before z leaves mandelbrot set for given c
int testpoint(complex_t c){
int iter;
complex_t z;
double temp;
z = c;
for(iter=0; iter<MXITER; 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){
return iter;
}
}
return iter;
}
// perform Mandelbrot iteration on a grid of numbers in the complex plane
// record the iteration counts in the count array
void mandelbrot(int Nre, int Nim, complex_t cmin, complex_t cmax, float *count){
int n,m;
complex_t c;
double dr = (cmax.r-cmin.r)/(Nre-1);
double di = (cmax.i-cmin.i)/(Nim-1);;
// Q2c: add a compiler directive to split the outer for loop amongst threads here
#pragma omp parallel for
for(n=0;n<Nim;++n){
for(m=0;m<Nre;++m){
c.r = cmin.r + dr*m;
c.i = cmin.i + di*n;
count[m+n*Nre] = testpoint(c);
}
}
}
int main(int argc, char **argv){
// to create a 4096x4096 pixel image [ last argument is placeholder for number of threads ]
// usage: ./mandelbrot 4096 4096 1
int Nre = atoi(argv[1]);
int Nim = atoi(argv[2]);
int Nthreads = atoi(argv[argc-1]);//originally 3
// Q2b: set the number of OpenMP threads to be Nthreads here:
omp_set_num_threads(Nthreads);
// storage for the iteration counts
float *count = (float*) malloc(Nre*Nim*sizeof(float));
// Parameters for a bounding box for "c" that generates an interesting image
const float centRe = -.759856, centIm= .125547;
const float diam = 0.151579;
complex_t cmin;
complex_t cmax;
cmin.r = centRe - 0.5*diam;
cmax.r = centRe + 0.5*diam;
cmin.i = centIm - 0.5*diam;
cmax.i = centIm + 0.5*diam;
// Q2d: complete this to read time before calling mandelbrot with OpenMP API wall clock time
double start;
start = omp_get_wtime();
// compute mandelbrot set
mandelbrot(Nre, Nim, cmin, cmax, count);
// Q2d: complete this to read time after calling mandelbrot using OpenMP wall clock time
double end;
end = omp_get_wtime();
// print elapsed time
printf("elapsed = %g\n", end-start);
// output mandelbrot to png format image
FILE *fp = fopen("mandelbrot.png", "w");
write_hot_png(fp, Nre, Nim, count, 0, 80);
exit(0);
return 0;
}
|
FillInLinearSystemImpl.h | // ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// The MIT License (MIT)
//
// Copyright (c) 2018-2021 www.open3d.org
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
// IN THE SOFTWARE.
// ----------------------------------------------------------------------------
#include "open3d/core/linalg/kernel/SVD3x3.h"
#include "open3d/t/geometry/kernel/GeometryIndexer.h"
#include "open3d/t/pipelines/kernel/FillInLinearSystem.h"
namespace open3d {
namespace t {
namespace pipelines {
namespace kernel {
#if defined(__CUDACC__)
void FillInRigidAlignmentTermCUDA
#else
void FillInRigidAlignmentTermCPU
#endif
(core::Tensor &AtA,
core::Tensor &Atb,
core::Tensor &residual,
const core::Tensor &Ti_ps,
const core::Tensor &Tj_qs,
const core::Tensor &Ri_normal_ps,
int i,
int j,
float threshold) {
core::Device device = AtA.GetDevice();
int64_t n = Ti_ps.GetLength();
if (Tj_qs.GetLength() != n || Ri_normal_ps.GetLength() != n) {
utility::LogError(
"Unable to setup linear system: input length mismatch.");
}
// First fill in a small 12 x 12 linear system
core::Tensor AtA_local =
core::Tensor::Zeros({12, 12}, core::Float32, device);
core::Tensor Atb_local = core::Tensor::Zeros({12}, core::Float32, device);
float *AtA_local_ptr = static_cast<float *>(AtA_local.GetDataPtr());
float *Atb_local_ptr = static_cast<float *>(Atb_local.GetDataPtr());
float *residual_ptr = static_cast<float *>(residual.GetDataPtr());
const float *Ti_ps_ptr = static_cast<const float *>(Ti_ps.GetDataPtr());
const float *Tj_qs_ptr = static_cast<const float *>(Tj_qs.GetDataPtr());
const float *Ri_normal_ps_ptr =
static_cast<const float *>(Ri_normal_ps.GetDataPtr());
#if defined(__CUDACC__)
namespace launcher = core::kernel::cuda_launcher;
#else
namespace launcher = core::kernel::cpu_launcher;
#endif
launcher::ParallelFor(n, [=] OPEN3D_DEVICE(int64_t workload_idx) {
const float *p_prime = Ti_ps_ptr + 3 * workload_idx;
const float *q_prime = Tj_qs_ptr + 3 * workload_idx;
const float *normal_p_prime = Ri_normal_ps_ptr + 3 * workload_idx;
float r = (p_prime[0] - q_prime[0]) * normal_p_prime[0] +
(p_prime[1] - q_prime[1]) * normal_p_prime[1] +
(p_prime[2] - q_prime[2]) * normal_p_prime[2];
if (abs(r) > threshold) return;
float J_ij[12];
J_ij[0] = -q_prime[2] * normal_p_prime[1] +
q_prime[1] * normal_p_prime[2];
J_ij[1] =
q_prime[2] * normal_p_prime[0] - q_prime[0] * normal_p_prime[2];
J_ij[2] = -q_prime[1] * normal_p_prime[0] +
q_prime[0] * normal_p_prime[1];
J_ij[3] = normal_p_prime[0];
J_ij[4] = normal_p_prime[1];
J_ij[5] = normal_p_prime[2];
for (int k = 0; k < 6; ++k) {
J_ij[k + 6] = -J_ij[k];
}
// Not optimized; Switch to reduction if necessary.
#if defined(BUILD_CUDA_MODULE) && defined(__CUDACC__)
for (int i_local = 0; i_local < 12; ++i_local) {
for (int j_local = 0; j_local < 12; ++j_local) {
atomicAdd(&AtA_local_ptr[i_local * 12 + j_local],
J_ij[i_local] * J_ij[j_local]);
}
atomicAdd(&Atb_local_ptr[i_local], J_ij[i_local] * r);
}
atomicAdd(residual_ptr, r * r);
#else
#pragma omp critical(FillInRigidAlignmentTermCPU)
{
for (int i_local = 0; i_local < 12; ++i_local) {
for (int j_local = 0; j_local < 12; ++j_local) {
AtA_local_ptr[i_local * 12 + j_local]
+= J_ij[i_local] * J_ij[j_local];
}
Atb_local_ptr[i_local] += J_ij[i_local] * r;
}
*residual_ptr += r * r;
}
#endif
});
// Then fill-in the large linear system
std::vector<int64_t> indices_vec(12);
for (int k = 0; k < 6; ++k) {
indices_vec[k] = i * 6 + k;
indices_vec[k + 6] = j * 6 + k;
}
std::vector<int64_t> indices_i_vec;
std::vector<int64_t> indices_j_vec;
for (int local_i = 0; local_i < 12; ++local_i) {
for (int local_j = 0; local_j < 12; ++local_j) {
indices_i_vec.push_back(indices_vec[local_i]);
indices_j_vec.push_back(indices_vec[local_j]);
}
}
core::Tensor indices(indices_vec, {12}, core::Int64, device);
core::Tensor indices_i(indices_i_vec, {12 * 12}, core::Int64, device);
core::Tensor indices_j(indices_j_vec, {12 * 12}, core::Int64, device);
core::Tensor AtA_sub = AtA.IndexGet({indices_i, indices_j});
AtA.IndexSet({indices_i, indices_j}, AtA_sub + AtA_local.View({12 * 12}));
core::Tensor Atb_sub = Atb.IndexGet({indices});
Atb.IndexSet({indices}, Atb_sub + Atb_local.View({12, 1}));
}
#if defined(__CUDACC__)
void FillInSLACAlignmentTermCUDA
#else
void FillInSLACAlignmentTermCPU
#endif
(core::Tensor &AtA,
core::Tensor &Atb,
core::Tensor &residual,
const core::Tensor &Ti_Cps,
const core::Tensor &Tj_Cqs,
const core::Tensor &Cnormal_ps,
const core::Tensor &Ri_Cnormal_ps,
const core::Tensor &RjT_Ri_Cnormal_ps,
const core::Tensor &cgrid_idx_ps,
const core::Tensor &cgrid_idx_qs,
const core::Tensor &cgrid_ratio_qs,
const core::Tensor &cgrid_ratio_ps,
int i,
int j,
int n_frags,
float threshold) {
int64_t n = Ti_Cps.GetLength();
if (Tj_Cqs.GetLength() != n || Cnormal_ps.GetLength() != n ||
Ri_Cnormal_ps.GetLength() != n || RjT_Ri_Cnormal_ps.GetLength() != n ||
cgrid_idx_ps.GetLength() != n || cgrid_ratio_ps.GetLength() != n ||
cgrid_idx_qs.GetLength() != n || cgrid_ratio_qs.GetLength() != n) {
utility::LogError(
"Unable to setup linear system: input length mismatch.");
}
int n_vars = Atb.GetLength();
float *AtA_ptr = static_cast<float *>(AtA.GetDataPtr());
float *Atb_ptr = static_cast<float *>(Atb.GetDataPtr());
float *residual_ptr = static_cast<float *>(residual.GetDataPtr());
// Geometric properties
const float *Ti_Cps_ptr = static_cast<const float *>(Ti_Cps.GetDataPtr());
const float *Tj_Cqs_ptr = static_cast<const float *>(Tj_Cqs.GetDataPtr());
const float *Cnormal_ps_ptr =
static_cast<const float *>(Cnormal_ps.GetDataPtr());
const float *Ri_Cnormal_ps_ptr =
static_cast<const float *>(Ri_Cnormal_ps.GetDataPtr());
const float *RjT_Ri_Cnormal_ps_ptr =
static_cast<const float *>(RjT_Ri_Cnormal_ps.GetDataPtr());
// Association properties
const int *cgrid_idx_ps_ptr =
static_cast<const int *>(cgrid_idx_ps.GetDataPtr());
const int *cgrid_idx_qs_ptr =
static_cast<const int *>(cgrid_idx_qs.GetDataPtr());
const float *cgrid_ratio_ps_ptr =
static_cast<const float *>(cgrid_ratio_ps.GetDataPtr());
const float *cgrid_ratio_qs_ptr =
static_cast<const float *>(cgrid_ratio_qs.GetDataPtr());
#if defined(__CUDACC__)
namespace launcher = core::kernel::cuda_launcher;
#else
namespace launcher = core::kernel::cpu_launcher;
#endif
launcher::ParallelFor(n, [=] OPEN3D_DEVICE(int64_t workload_idx) {
const float *Ti_Cp = Ti_Cps_ptr + 3 * workload_idx;
const float *Tj_Cq = Tj_Cqs_ptr + 3 * workload_idx;
const float *Cnormal_p = Cnormal_ps_ptr + 3 * workload_idx;
const float *Ri_Cnormal_p = Ri_Cnormal_ps_ptr + 3 * workload_idx;
const float *RjTRi_Cnormal_p = RjT_Ri_Cnormal_ps_ptr + 3 * workload_idx;
const int *cgrid_idx_p = cgrid_idx_ps_ptr + 8 * workload_idx;
const int *cgrid_idx_q = cgrid_idx_qs_ptr + 8 * workload_idx;
const float *cgrid_ratio_p = cgrid_ratio_ps_ptr + 8 * workload_idx;
const float *cgrid_ratio_q = cgrid_ratio_qs_ptr + 8 * workload_idx;
float r = (Ti_Cp[0] - Tj_Cq[0]) * Ri_Cnormal_p[0] +
(Ti_Cp[1] - Tj_Cq[1]) * Ri_Cnormal_p[1] +
(Ti_Cp[2] - Tj_Cq[2]) * Ri_Cnormal_p[2];
if (abs(r) > threshold) return;
// Now we fill in a 60 x 60 sub-matrix: 2 x (6 + 8 x 3)
float J[60];
int idx[60];
// Jacobian w.r.t. Ti: 0-6
J[0] = -Tj_Cq[2] * Ri_Cnormal_p[1] + Tj_Cq[1] * Ri_Cnormal_p[2];
J[1] = Tj_Cq[2] * Ri_Cnormal_p[0] - Tj_Cq[0] * Ri_Cnormal_p[2];
J[2] = -Tj_Cq[1] * Ri_Cnormal_p[0] + Tj_Cq[0] * Ri_Cnormal_p[1];
J[3] = Ri_Cnormal_p[0];
J[4] = Ri_Cnormal_p[1];
J[5] = Ri_Cnormal_p[2];
// Jacobian w.r.t. Tj: 6-12
for (int k = 0; k < 6; ++k) {
J[k + 6] = -J[k];
idx[k + 0] = 6 * i + k;
idx[k + 6] = 6 * j + k;
}
// Jacobian w.r.t. C over p: 12-36
for (int k = 0; k < 8; ++k) {
J[12 + k * 3 + 0] = cgrid_ratio_p[k] * Cnormal_p[0];
J[12 + k * 3 + 1] = cgrid_ratio_p[k] * Cnormal_p[1];
J[12 + k * 3 + 2] = cgrid_ratio_p[k] * Cnormal_p[2];
idx[12 + k * 3 + 0] = 6 * n_frags + cgrid_idx_p[k] * 3 + 0;
idx[12 + k * 3 + 1] = 6 * n_frags + cgrid_idx_p[k] * 3 + 1;
idx[12 + k * 3 + 2] = 6 * n_frags + cgrid_idx_p[k] * 3 + 2;
}
// Jacobian w.r.t. C over q: 36-60
for (int k = 0; k < 8; ++k) {
J[36 + k * 3 + 0] = -cgrid_ratio_q[k] * RjTRi_Cnormal_p[0];
J[36 + k * 3 + 1] = -cgrid_ratio_q[k] * RjTRi_Cnormal_p[1];
J[36 + k * 3 + 2] = -cgrid_ratio_q[k] * RjTRi_Cnormal_p[2];
idx[36 + k * 3 + 0] = 6 * n_frags + cgrid_idx_q[k] * 3 + 0;
idx[36 + k * 3 + 1] = 6 * n_frags + cgrid_idx_q[k] * 3 + 1;
idx[36 + k * 3 + 2] = 6 * n_frags + cgrid_idx_q[k] * 3 + 2;
}
// Not optimized; Switch to reduction if necessary.
#if defined(__CUDACC__)
for (int ki = 0; ki < 60; ++ki) {
for (int kj = 0; kj < 60; ++kj) {
float AtA_ij = J[ki] * J[kj];
int ij = idx[ki] * n_vars + idx[kj];
atomicAdd(AtA_ptr + ij, AtA_ij);
}
float Atb_i = J[ki] * r;
atomicAdd(Atb_ptr + idx[ki], Atb_i);
}
atomicAdd(residual_ptr, r * r);
#else
#pragma omp critical(FillInSLACAlignmentTermCPU)
{
for (int ki = 0; ki < 60; ++ki) {
for (int kj = 0; kj < 60; ++kj) {
AtA_ptr[idx[ki] * n_vars + idx[kj]]
+= J[ki] * J[kj];
}
Atb_ptr[idx[ki]] += J[ki] * r;
}
*residual_ptr += r * r;
}
#endif
});
}
#if defined(__CUDACC__)
void FillInSLACRegularizerTermCUDA
#else
void FillInSLACRegularizerTermCPU
#endif
(core::Tensor &AtA,
core::Tensor &Atb,
core::Tensor &residual,
const core::Tensor &grid_idx,
const core::Tensor &grid_nbs_idx,
const core::Tensor &grid_nbs_mask,
const core::Tensor &positions_init,
const core::Tensor &positions_curr,
float weight,
int n_frags,
int anchor_idx) {
int64_t n = grid_idx.GetLength();
int64_t n_vars = Atb.GetLength();
float *AtA_ptr = static_cast<float *>(AtA.GetDataPtr());
float *Atb_ptr = static_cast<float *>(Atb.GetDataPtr());
float *residual_ptr = static_cast<float *>(residual.GetDataPtr());
const int *grid_idx_ptr = static_cast<const int *>(grid_idx.GetDataPtr());
const int *grid_nbs_idx_ptr =
static_cast<const int *>(grid_nbs_idx.GetDataPtr());
const bool *grid_nbs_mask_ptr =
static_cast<const bool *>(grid_nbs_mask.GetDataPtr());
const float *positions_init_ptr =
static_cast<const float *>(positions_init.GetDataPtr());
const float *positions_curr_ptr =
static_cast<const float *>(positions_curr.GetDataPtr());
#if defined(__CUDACC__)
namespace launcher = core::kernel::cuda_launcher;
#else
namespace launcher = core::kernel::cpu_launcher;
#endif
launcher::ParallelFor(n, [=] OPEN3D_DEVICE(int64_t workload_idx) {
// Enumerate 6 neighbors
int idx_i = grid_idx_ptr[workload_idx];
const int *idx_nbs = grid_nbs_idx_ptr + 6 * workload_idx;
const bool *mask_nbs = grid_nbs_mask_ptr + 6 * workload_idx;
// Build a 3x3 linear system to compute the local R
float cov[3][3] = {{0}};
float U[3][3], V[3][3], S[3];
int cnt = 0;
for (int k = 0; k < 6; ++k) {
bool mask_k = mask_nbs[k];
if (!mask_k) continue;
int idx_k = idx_nbs[k];
// Now build linear systems
float diff_ik_init[3] = {positions_init_ptr[idx_i * 3 + 0] -
positions_init_ptr[idx_k * 3 + 0],
positions_init_ptr[idx_i * 3 + 1] -
positions_init_ptr[idx_k * 3 + 1],
positions_init_ptr[idx_i * 3 + 2] -
positions_init_ptr[idx_k * 3 + 2]};
float diff_ik_curr[3] = {positions_curr_ptr[idx_i * 3 + 0] -
positions_curr_ptr[idx_k * 3 + 0],
positions_curr_ptr[idx_i * 3 + 1] -
positions_curr_ptr[idx_k * 3 + 1],
positions_curr_ptr[idx_i * 3 + 2] -
positions_curr_ptr[idx_k * 3 + 2]};
// Build linear system by computing XY^T when formulating Y = RX
// Y: curr
// X: init
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
cov[i][j] += diff_ik_init[i] * diff_ik_curr[j];
}
}
++cnt;
}
if (cnt < 3) {
return;
}
core::linalg::kernel::svd3x3(*cov, *U, S, *V);
float R[3][3];
core::linalg::kernel::transpose3x3_(*U);
core::linalg::kernel::matmul3x3_3x3(*V, *U, *R);
float d = core::linalg::kernel::det3x3(*R);
if (d < 0) {
U[2][0] = -U[2][0];
U[2][1] = -U[2][1];
U[2][2] = -U[2][2];
core::linalg::kernel::matmul3x3_3x3(*V, *U, *R);
}
// Now we have R, we build Hessian and residuals
// But first, we need to anchor a point
if (idx_i == anchor_idx) {
R[0][0] = R[1][1] = R[2][2] = 1;
R[0][1] = R[0][2] = R[1][0] = R[1][2] = R[2][0] = R[2][1] = 0;
}
for (int k = 0; k < 6; ++k) {
bool mask_k = mask_nbs[k];
if (mask_k) {
int idx_k = idx_nbs[k];
float diff_ik_init[3] = {
positions_init_ptr[idx_i * 3 + 0] -
positions_init_ptr[idx_k * 3 + 0],
positions_init_ptr[idx_i * 3 + 1] -
positions_init_ptr[idx_k * 3 + 1],
positions_init_ptr[idx_i * 3 + 2] -
positions_init_ptr[idx_k * 3 + 2]};
float diff_ik_curr[3] = {
positions_curr_ptr[idx_i * 3 + 0] -
positions_curr_ptr[idx_k * 3 + 0],
positions_curr_ptr[idx_i * 3 + 1] -
positions_curr_ptr[idx_k * 3 + 1],
positions_curr_ptr[idx_i * 3 + 2] -
positions_curr_ptr[idx_k * 3 + 2]};
float R_diff_ik_curr[3];
core::linalg::kernel::matmul3x3_3x1(*R, diff_ik_init,
R_diff_ik_curr);
float local_r[3];
local_r[0] = diff_ik_curr[0] - R_diff_ik_curr[0];
local_r[1] = diff_ik_curr[1] - R_diff_ik_curr[1];
local_r[2] = diff_ik_curr[2] - R_diff_ik_curr[2];
int offset_idx_i = 3 * idx_i + 6 * n_frags;
int offset_idx_k = 3 * idx_k + 6 * n_frags;
#if defined(__CUDACC__)
// Update residual
atomicAdd(residual_ptr, weight * (local_r[0] * local_r[0] +
local_r[1] * local_r[1] +
local_r[2] * local_r[2]));
for (int axis = 0; axis < 3; ++axis) {
// Update AtA: 2x2
atomicAdd(&AtA_ptr[(offset_idx_i + axis) * n_vars +
offset_idx_i + axis],
weight);
atomicAdd(&AtA_ptr[(offset_idx_k + axis) * n_vars +
offset_idx_k + axis],
weight);
atomicAdd(&AtA_ptr[(offset_idx_i + axis) * n_vars +
offset_idx_k + axis],
-weight);
atomicAdd(&AtA_ptr[(offset_idx_k + axis) * n_vars +
offset_idx_i + axis],
-weight);
// Update Atb: 2x1
atomicAdd(&Atb_ptr[offset_idx_i + axis],
+weight * local_r[axis]);
atomicAdd(&Atb_ptr[offset_idx_k + axis],
-weight * local_r[axis]);
}
#else
#pragma omp critical(FillInSLACRegularizerTermCPU)
{
// Update residual
*residual_ptr += weight * (local_r[0] * local_r[0] +
local_r[1] * local_r[1] +
local_r[2] * local_r[2]);
for (int axis = 0; axis < 3; ++axis) {
// Update AtA: 2x2
AtA_ptr[(offset_idx_i + axis) * n_vars +
offset_idx_i + axis] += weight;
AtA_ptr[(offset_idx_k + axis) * n_vars +
offset_idx_k + axis] += weight;
AtA_ptr[(offset_idx_i + axis) * n_vars +
offset_idx_k + axis] -= weight;
AtA_ptr[(offset_idx_k + axis) * n_vars +
offset_idx_i + axis] -= weight;
// Update Atb: 2x1
Atb_ptr[offset_idx_i + axis] += weight * local_r[axis];
Atb_ptr[offset_idx_k + axis] -= weight * local_r[axis];
}
}
#endif
}
}
});
}
} // namespace kernel
} // namespace pipelines
} // namespace t
} // namespace open3d
|
comm.h | /**
* Copyright (c) 2015 by Contributors
*/
#ifndef MXNET_KVSTORE_COMM_H_
#define MXNET_KVSTORE_COMM_H_
#include <string>
#include <algorithm>
#include <utility>
#include <limits>
#include <vector>
#include <tuple>
#include "mxnet/ndarray.h"
namespace mxnet {
namespace kvstore {
/**
* \brief multiple device commmunication
*/
class Comm {
public:
Comm() {
#if MXNET_USE_CUDA
int gpu_num;
int ret = cudaGetDeviceCount(&gpu_num);
pinned_ctx_ = (ret == 0 && gpu_num > 0) ?
Context::CPUPinned(0) : Context::CPU();
#else
pinned_ctx_ = Context::CPU();
#endif
}
virtual ~Comm() { }
/**
* \brief init key with the data shape
*/
virtual void Init(int key, const 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 return a pinned contex
*/
Context pinned_ctx() const {
return pinned_ctx_;
}
protected:
Context pinned_ctx_;
};
/**
* \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);
}
virtual ~CommCPU() { }
void Init(int key, const TShape& shape, int type = mshadow::kFloat32) override {
merge_buf_[key].merged = NDArray(shape, pinned_ctx_, false, type);
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src,
int priority) override {
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
return src[0];
}
std::vector<Engine::VarHandle> const_vars(src.size() - 1);
std::vector<NDArray> reduce(src.size());
auto& buf = merge_buf_[key];
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) {
buf.copy_buf[j] = NDArray(
src[0].shape(), pinned_ctx_, false, src[0].dtype());
}
}
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()->PushSync([reduce, this](RunContext rctx) {
ReduceSumCPU(reduce);
}, Context::CPU(), const_vars, {reduce[0].var()},
FnProperty::kCPUPrioritized, priority, PROFILER_MESSAGE("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 cpu, then broadcast
auto& buf = merge_buf_[key];
CopyFromTo(src, &buf.merged, priority);
for (auto d : dst) CopyFromTo(buf.merged, d, 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);
});
}
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;
};
std::unordered_map<int, BufferEntry> merge_buf_;
size_t bigarray_bound_;
int nthread_reduction_;
};
/**
* \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 TShape& shape, int dtype = mshadow::kFloat32) override {
sorted_key_attrs_.push_back(std::make_tuple(key, shape, dtype));
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src,
int priority) override {
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
return src[0];
}
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);
}
}
auto& buf = merge_buf_[key];
std::vector<NDArray> reduce(src.size());
CopyFromTo(src[0], &(buf.merged), priority);
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);
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 = merge_buf_[key];
CopyFromTo(src, &buf.merged, priority);
for (auto d : dst) {
CopyFromTo(buf.merged, d, priority);
}
}
}
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) {
cudaSetDevice(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
}
using KeyAttrs = std::tuple<int, 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 (size_t i = 0; i < sorted_key_attrs_.size(); ++i) {
int key = std::get<0>(sorted_key_attrs_[i]);
TShape s = std::get<1>(sorted_key_attrs_[i]);
int type = std::get<2>(sorted_key_attrs_[i]);
auto& buf = merge_buf_[key];
Context ctx;
size_t min_size = std::numeric_limits<size_t>::max();
for (auto it = ctx_info.begin(); it != ctx_info.end(); ++it) {
size_t size = it->second.second;
if (size <= min_size) {
ctx = it->second.first;
min_size = size;
}
}
buf.merged = NDArray(s, ctx, false, type);
ctx_info[ctx.dev_id].second += s.Size();
}
inited_ = true;
}
std::vector<KeyAttrs> sorted_key_attrs_;
/// \brief temporal space for pushing and pulling
struct BufferEntry {
/// \brief the merged value
NDArray merged;
/// \brief the gpu buffer
std::vector<NDArray> copy_buf;
};
std::unordered_map<int, BufferEntry> merge_buf_;
bool inited_;
};
} // namespace kvstore
} // namespace mxnet
#endif // MXNET_KVSTORE_COMM_H_
|
time_omp_fib.c | #include <stdio.h> /* for printf() */
#include <assert.h> /* for assert() */
#include <omp.h>
#include <qthread/qthread.h>
#include <qthread/qtimer.h>
#include "argparsing.h"
static aligned_t validation[] = {
0, // 0
1, // 1
1, // 2
2, // 3
3, // 4
5, // 5
8, // 6
13, // 7
21, // 8
34, // 9
55, // 10
89, // 11
144, // 12
233, // 13
377, // 14
610, // 15
987, // 16
1597, // 17
2584, // 18
4181, // 19
6765, // 20
10946, // 21
17711, // 22
28657, // 23
46368, // 24
75025, // 25
121393, // 26
196418, // 27
317811, // 28
514229, // 29
832040, // 30
1346269, // 31
2178309, // 32
3524578, // 33
5702887, // 34
9227465, // 35
14930352, // 36
24157817, // 37
39088169 // 38
};
static aligned_t fib(void *arg_)
{
aligned_t *n = (aligned_t *)arg_;
if (*n < 2) {
return *n;
}
aligned_t ret1, ret2;
aligned_t n1 = *n - 1;
aligned_t n2 = *n - 2;
#pragma omp task default(none) shared(ret1,n1)
ret1 = fib(&n1);
#pragma omp task default(none) shared(ret2,n2)
ret2 = fib(&n2);
#pragma omp taskwait
return ret1 + ret2;
}
int main(int argc,
char *argv[])
{
qtimer_t timer = qtimer_create();
aligned_t n = 20;
aligned_t ret = 0;
int threads = 1;
/* setup */
CHECK_VERBOSE();
NUMARG(n, "FIB_INPUT");
#pragma omp parallel
#pragma omp single
{
threads = omp_get_num_threads();
qtimer_start(timer);
#pragma omp task default(none) shared(ret,n)
ret = fib(&n);
#pragma omp taskwait
qtimer_stop(timer);
}
if (validation[n] == ret) {
fprintf(stdout, "%d %lu %lu %f\n", threads, (unsigned long)n, (unsigned long)ret, qtimer_secs(timer));
} else {
iprintf("Fail %lu (== %lu) in %f sec\n", (unsigned long)ret, (unsigned long)validation[n], qtimer_secs(timer));
}
qtimer_destroy(timer);
return 0;
}
/* vim:set expandtab */
|
generator_gemm_common.c | /******************************************************************************
* Copyright (c) Intel Corporation - All rights reserved. *
* This file is part of the LIBXSMM library. *
* *
* For information on the license, see the LICENSE file. *
* Further information: https://github.com/libxsmm/libxsmm/ *
* SPDX-License-Identifier: BSD-3-Clause *
******************************************************************************/
/* Alexander Heinecke, Evangelos Georganas (Intel Corp.)
******************************************************************************/
#include "generator_gemm_common.h"
#include "generator_common.h"
#include "generator_x86_instructions.h"
#include "libxsmm_main.h"
#include "generator_common_x86.h"
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_apply_relu_to_vreg( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int zero_vreg,
const unsigned int inout_vreg,
const unsigned int store_bitmask,
const unsigned int gpr_bitmask,
const unsigned int store_bitmask_offset,
const unsigned int is_32_bit_relu,
const unsigned int aux_gpr,
const unsigned int aux_vreg) {
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
if (is_32_bit_relu == 1) {
if (store_bitmask == 1) {
libxsmm_x86_instruction_vec_compute_3reg_imm8( io_generated_code, LIBXSMM_X86_INSTR_VCMPPS, i_micro_kernel_config->vector_name, zero_vreg, inout_vreg, aux_vreg, 6 );
libxsmm_x86_instruction_vec_compute_3reg_imm8( io_generated_code, LIBXSMM_X86_INSTR_VMOVMSKPS, i_micro_kernel_config->vector_name, aux_vreg, LIBXSMM_X86_VEC_REG_UNDEF, aux_gpr, 0 );
libxsmm_x86_instruction_alu_mem( io_generated_code, LIBXSMM_X86_INSTR_MOVB, gpr_bitmask, LIBXSMM_X86_GP_REG_UNDEF, 0, store_bitmask_offset, aux_gpr, 1);
}
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code, LIBXSMM_X86_INSTR_VMAXPS, i_micro_kernel_config->vector_name, inout_vreg, zero_vreg, inout_vreg );
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_UNSUP_DATATYPE );
return;
}
} else {
if (store_bitmask == 0) {
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_VMAXPS : LIBXSMM_X86_INSTR_VPMAXSW,
i_micro_kernel_config->vector_name,
inout_vreg,
zero_vreg,
inout_vreg);
} else {
unsigned int current_mask_reg = 7;
libxsmm_x86_instruction_vec_compute_3reg_imm8( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_VCMPPS : LIBXSMM_X86_INSTR_VPCMPW,
i_micro_kernel_config->vector_name,
zero_vreg,
inout_vreg,
current_mask_reg, 6 );
/* Blend output result with zero reg based on relu mask */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_VPBLENDMD : LIBXSMM_X86_INSTR_VPBLENDMW,
i_micro_kernel_config->vector_name,
inout_vreg,
zero_vreg,
inout_vreg,
current_mask_reg,
0 );
/* Store bitmask */
libxsmm_x86_instruction_mask_move_mem( io_generated_code,
(is_32_bit_relu == 1) ? LIBXSMM_X86_INSTR_KMOVW_ST : LIBXSMM_X86_INSTR_KMOVD_ST,
gpr_bitmask,
LIBXSMM_X86_GP_REG_UNDEF,
0,
store_bitmask_offset,
current_mask_reg );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( libxsmm_generated_code* io_generated_code,
libxsmm_micro_kernel_config* i_micro_kernel_config_mod,
const unsigned int scratch_gpr,
const unsigned int in_vreg,
const unsigned int out_vreg ) {
/* Load accumulator from scratch */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config_mod->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
in_vreg * 64,
i_micro_kernel_config_mod->vector_name,
out_vreg, 0, 1, 0 );
/* Apply sigmoid */
if (io_generated_code->arch >= LIBXSMM_X86_AVX512) {
libxsmm_generator_sigmoid_ps_rational_78_avx512( io_generated_code, out_vreg, i_micro_kernel_config_mod->vec_x2,
i_micro_kernel_config_mod->vec_nom, i_micro_kernel_config_mod->vec_denom,
i_micro_kernel_config_mod->mask_hi, i_micro_kernel_config_mod->mask_lo,
i_micro_kernel_config_mod->vec_c0, i_micro_kernel_config_mod->vec_c1, i_micro_kernel_config_mod->vec_c2, i_micro_kernel_config_mod->vec_c3,
i_micro_kernel_config_mod->vec_c1_d, i_micro_kernel_config_mod->vec_c2_d, i_micro_kernel_config_mod->vec_c3_d,
i_micro_kernel_config_mod->vec_hi_bound, i_micro_kernel_config_mod->vec_lo_bound, i_micro_kernel_config_mod->vec_ones,
i_micro_kernel_config_mod->vec_neg_ones, i_micro_kernel_config_mod->vec_halves );
} else {
libxsmm_generator_sigmoid_ps_rational_78_avx( io_generated_code, out_vreg, i_micro_kernel_config_mod->vec_x2,
i_micro_kernel_config_mod->vec_nom, i_micro_kernel_config_mod->vec_denom,
i_micro_kernel_config_mod->vec_c0, i_micro_kernel_config_mod->vec_c1, i_micro_kernel_config_mod->vec_c2, i_micro_kernel_config_mod->vec_c3,
i_micro_kernel_config_mod->vec_c1_d, i_micro_kernel_config_mod->vec_c2_d, i_micro_kernel_config_mod->vec_c3_d,
i_micro_kernel_config_mod->vec_hi_bound, i_micro_kernel_config_mod->vec_lo_bound, i_micro_kernel_config_mod->vec_ones,
i_micro_kernel_config_mod->vec_neg_ones);
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_restore_2D_regblock_from_scratch( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int scratch_gpr,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking) {
unsigned int l_n, l_m;
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_vec_reg_acc_start + l_m + (l_m_blocking * l_n)) * 64,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, 0, 0 );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_store_2D_regblock_to_scratch( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int scratch_gpr,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking) {
unsigned int l_n, l_m;
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_vec_reg_acc_start + l_m + (l_m_blocking * l_n)) * 64,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, 0, 1 );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( libxsmm_generated_code* io_generated_code,
libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking,
const unsigned int scratch_gpr,
const unsigned int aux_gpr) {
unsigned int n_avail_vregs = (io_generated_code->arch >= LIBXSMM_X86_AVX512) ? 32 : 16;
unsigned int n_avail_masks = (io_generated_code->arch >= LIBXSMM_X86_AVX512) ? 8 : 16;
/* First dump the accumulators to scratch and then setup sigmoid coeffcients to be reused */
libxsmm_x86_instruction_push_reg( io_generated_code, scratch_gpr);
libxsmm_x86_instruction_push_reg( io_generated_code, aux_gpr );
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR, scratch_gpr);
libxsmm_generator_gemm_store_2D_regblock_to_scratch( io_generated_code, i_micro_kernel_config,
scratch_gpr, l_vec_reg_acc_start, l_m_blocking, i_n_blocking);
libxsmm_generator_gemm_prepare_coeffs_sigmoid_ps_rational_78_avx_avx512( io_generated_code, i_micro_kernel_config, n_avail_vregs, n_avail_masks, aux_gpr );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_prepare_relu_fusion( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int zero_vreg,
const unsigned int store_bitmask,
const unsigned int bitmask_gpr,
const unsigned int aux_gpr) {
/* Zero out register 0 to perform relu */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
zero_vreg, zero_vreg, zero_vreg);
if (store_bitmask == 1) {
libxsmm_x86_instruction_push_reg( io_generated_code, bitmask_gpr );
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_push_reg( io_generated_code, aux_gpr );
}
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, bitmask_gpr );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_cleanup_relu_fusion( libxsmm_generated_code* io_generated_code,
const unsigned int store_bitmask,
const unsigned int bitmask_gpr,
const unsigned int aux_gpr) {
if (store_bitmask == 1) {
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_pop_reg( io_generated_code, aux_gpr );
}
libxsmm_x86_instruction_pop_reg( io_generated_code, bitmask_gpr);
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_cleanup_sigmoid_fusion( libxsmm_generated_code* io_generated_code,
const unsigned int scratch_gpr,
const unsigned int aux_gpr ) {
libxsmm_x86_instruction_pop_reg( io_generated_code, aux_gpr );
libxsmm_x86_instruction_pop_reg( io_generated_code, scratch_gpr );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_load_colbias_to_2D_block( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_datatype colbias_precision,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking ) {
unsigned int l_n = 0, l_m = 0;
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_2 );
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
if (colbias_precision == LIBXSMM_DATATYPE_BF16) {
if (l_n == 0) {
/* Load bias vector */
/* load 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
l_vec_reg_acc_start + l_m, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'x' : 'y',
l_vec_reg_acc_start + l_m, 0, 1, 0 );
}
/* convert 16 bit values into 32 bit (integer convert) */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXWD,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m, l_vec_reg_acc_start + l_m );
/* shift 16 bits to the left to generate valid FP32 numbers */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSLLD_I,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m,
l_vec_reg_acc_start + l_m,
16);
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code, LIBXSMM_X86_INSTR_VMOVUPS,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
l_vec_reg_acc_start + l_m, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
} else if (colbias_precision == LIBXSMM_DATATYPE_F32) {
if (l_n == 0) {
/* Load bias vector */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_m * (i_micro_kernel_config->vector_length))) * 4,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m, ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 1, 0 );
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code, LIBXSMM_X86_INSTR_VMOVUPS, i_micro_kernel_config->vector_name, l_vec_reg_acc_start + l_m, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_UNSUP_DATATYPE );
return;
}
}
}
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_add_colbias_to_2D_block( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_datatype colbias_precision,
const unsigned int l_vec_reg_acc_start,
const unsigned int l_m_blocking,
const unsigned int i_n_blocking ) {
unsigned int l_n = 0, l_m = 0;
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_2 );
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* Load bias vector */
if (colbias_precision == LIBXSMM_DATATYPE_BF16) {
/* load 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_m * (i_micro_kernel_config->vector_length)) * 2,
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'x' : 'y',
0, 0, 1, 0 );
}
/* convert 16 bit values into 32 bit (integer convert) */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXWD,
i_micro_kernel_config->vector_name,
0, 0 );
/* shift 16 bits to the left to generate valid FP32 numbers */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSLLD_I,
i_micro_kernel_config->vector_name,
0,
0,
16);
} else if (colbias_precision == LIBXSMM_DATATYPE_F32) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_help_2,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_m * (i_micro_kernel_config->vector_length))) * 4,
i_micro_kernel_config->vector_name,
0, ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 1, 0 );
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_UNSUP_DATATYPE );
return;
}
/* Add colbias */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code, LIBXSMM_X86_INSTR_VADDPS, i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
}
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_prepare_coeffs_sigmoid_ps_rational_78_avx_avx512( libxsmm_generated_code* io_generated_code,
libxsmm_micro_kernel_config* i_micro_kernel_config,
unsigned int reserved_zmms,
unsigned int reserved_mask_regs,
unsigned int temp_reg ) {
float pade78_sigm_array[16] = { 2027025.0f, 270270.0f, 6930.0f, 36.0f, 945945.0f, 51975.0f, 630.0f, 4.97f, -4.97f, 1.0f, -1.0f, 0.5f, 0.0f, 0.0f, 0.0f, 0.0f };
i_micro_kernel_config->vec_x2 = reserved_zmms - 1;
i_micro_kernel_config->vec_nom = reserved_zmms - 2;
i_micro_kernel_config->vec_denom = reserved_zmms - 3;
i_micro_kernel_config->vec_c0 = reserved_zmms - 4;
i_micro_kernel_config->vec_c1 = reserved_zmms - 5;
i_micro_kernel_config->vec_c2 = reserved_zmms - 6;
i_micro_kernel_config->vec_c3 = reserved_zmms - 7;
i_micro_kernel_config->vec_c1_d = reserved_zmms - 8;
i_micro_kernel_config->vec_c2_d = reserved_zmms - 9;
i_micro_kernel_config->vec_c3_d = reserved_zmms - 10;
i_micro_kernel_config->vec_hi_bound = reserved_zmms - 11;
i_micro_kernel_config->vec_lo_bound = reserved_zmms - 12;
i_micro_kernel_config->vec_ones = reserved_zmms - 13;
i_micro_kernel_config->vec_neg_ones = reserved_zmms - 14;
i_micro_kernel_config->vec_halves = reserved_zmms - 15;
libxsmm_x86_instruction_full_vec_load_of_constants ( io_generated_code, (const unsigned char *) pade78_sigm_array, "pade78_sigm_array_", i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c0);
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR, temp_reg );
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
temp_reg,
LIBXSMM_X86_GP_REG_UNDEF, 0, 0,
i_micro_kernel_config->vector_name,
i_micro_kernel_config->vec_c0, 0, 1, 1 );
if (io_generated_code->arch < LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_full_vec_load_of_constants ( io_generated_code, (const unsigned char *) &pade78_sigm_array[8], "pade78_sigm_array2_", i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c0);
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
temp_reg,
LIBXSMM_X86_GP_REG_UNDEF, 0, 32,
i_micro_kernel_config->vector_name,
i_micro_kernel_config->vec_c0, 0, 1, 1 );
}
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
0, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c0, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
4, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c1, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
8, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c2, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
12, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c3, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
16, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c1_d, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
20, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c2_d, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
24, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_c3_d, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
28, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_hi_bound, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
32, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_lo_bound, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
36, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_ones, 0, 1, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
40, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_neg_ones, 0, 1, 0 );
if (io_generated_code->arch >= LIBXSMM_X86_AVX512) {
libxsmm_x86_instruction_vec_move( io_generated_code, i_micro_kernel_config->instruction_set, LIBXSMM_X86_INSTR_VBROADCASTSS, temp_reg, LIBXSMM_X86_GP_REG_UNDEF, 0,
44, i_micro_kernel_config->vector_name, i_micro_kernel_config->vec_halves, 0, 1, 0 );
}
i_micro_kernel_config->mask_hi = reserved_mask_regs - 1;
i_micro_kernel_config->mask_lo = reserved_mask_regs - 2;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars_v2( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping ) {
int is_stride_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_STRIDE) > 0) ? 1 : 0;
int is_offset_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_OFFSET) > 0) ? 1 : 0;
int is_address_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) > 0) ? 1 : 0;
int is_brgemm = ((is_stride_brgemm == 1) || (is_offset_brgemm == 1) || (is_address_brgemm == 1)) ? 1 : 0;
int has_scf = ((LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ))) ? 1 : 0;
int has_A_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2_AHEAD || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD) ? 1 : 0;
int has_B_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_PREFETCH_AL2CL2BL2_VIA_C ) ? 1 : 0;
unsigned int temp_reg = LIBXSMM_X86_GP_REG_R10;
if (has_scf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 112, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, temp_reg );
}
if (has_A_pf_ptr == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 56, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
}
if (has_B_pf_ptr == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 88, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
if ((is_brgemm == 1) && ( i_micro_kernel_config->decompress_A == 1)) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_reduce_count, LIBXSMM_X86_GP_REG_UNDEF, 0, 0, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_BRCOUNT, temp_reg );
}
if (is_offset_brgemm == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 40, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_A_OFFS_BRGEMM_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 72, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_B_OFFS_BRGEMM_PTR, temp_reg );
}
if (i_micro_kernel_config->fused_eltwise == 1) {
if (i_micro_kernel_config->has_colbias_act_fused == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 128, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 104, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->decompress_A == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 48, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BITMAP_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 160, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_DECOMPRESS_BUF, temp_reg );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 104, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 104, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, temp_reg );
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_help_1, LIBXSMM_X86_GP_REG_UNDEF, 0, 192, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_B, temp_reg );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars(libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config) {
int is_stride_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_STRIDE) > 0) ? 1 : 0;
int is_offset_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_OFFSET) > 0) ? 1 : 0;
int is_address_brgemm = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) > 0) ? 1 : 0;
int is_brgemm = ((is_stride_brgemm == 1) || (is_offset_brgemm == 1) || (is_address_brgemm == 1)) ? 1 : 0;
int has_scf = ((LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ))) ? 1 : 0;
int has_A_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2_AHEAD || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD) ? 1 : 0;
int has_B_pf_ptr = (i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C || i_xgemm_desc->prefetch == LIBXSMM_PREFETCH_AL2CL2BL2_VIA_C ) ? 1 : 0;
unsigned int eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R11;
unsigned int temp_reg = LIBXSMM_X86_GP_REG_R10;
if (is_brgemm == 0) {
/* GEMM (A, B, C, [scf, eltwise_struct, Apf, Bpf] */
if (has_scf == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, LIBXSMM_X86_GP_REG_RCX );
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R8;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R8 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
}
}
} else {
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_RCX;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R8 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_RCX );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_RCX );
}
}
}
}
} else {
if (i_micro_kernel_config->decompress_A == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RCX, LIBXSMM_X86_GP_REG_UNDEF, 0, 0, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_BRCOUNT, temp_reg );
}
if ((is_stride_brgemm == 1) || (is_address_brgemm == 1)) {
/* BRGEMM_ADDR/STRIDE (A, B, C, cnt, [scf, eltwise_struct, Apf, Bpf] */
if (has_scf == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, LIBXSMM_X86_GP_REG_R8 );
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R9;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
}
}
} else {
if (i_micro_kernel_config->fused_eltwise == 1) {
eltwise_struct_ptr_reg = LIBXSMM_X86_GP_REG_R8;
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, LIBXSMM_X86_GP_REG_R8 );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R9 );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, LIBXSMM_X86_GP_REG_R8 );
}
}
}
}
} else {
/* BRGEMM_OFFS (A, B, C, cnt, A_off, B_off, [scf, eltwise struct, Apf, Bpf] */
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_A_OFFS_BRGEMM_PTR, LIBXSMM_X86_GP_REG_R8 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_B_OFFS_BRGEMM_PTR, LIBXSMM_X86_GP_REG_R9 );
if (has_scf == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_INT8_SCF, temp_reg );
if (i_micro_kernel_config->fused_eltwise == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, eltwise_struct_ptr_reg );
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_10, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
}
} else {
if (i_micro_kernel_config->fused_eltwise == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, eltwise_struct_ptr_reg );
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_9, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
} else {
if (has_A_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFA_PTR, temp_reg );
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_8, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
} else {
if (has_B_pf_ptr == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ARG_7, temp_reg );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_PFB_PTR, temp_reg );
}
}
}
}
}
}
if (i_micro_kernel_config->fused_eltwise == 1) {
if (i_micro_kernel_config->has_colbias_act_fused == 1) {
/* TODO: Optimize this copy to operate only in used fileds form struct... */
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 0, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 8, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->decompress_A == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 16, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BITMAP_PTR, temp_reg );
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 24, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_DECOMPRESS_BUF, temp_reg );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 8, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, temp_reg );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 32, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, temp_reg );
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, eltwise_struct_ptr_reg, LIBXSMM_X86_GP_REG_UNDEF, 0, 16, temp_reg, 0 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_B, temp_reg );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame_allocate_scratch( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
unsigned int gemm_scratch_size = 0;
unsigned int scratch_pad_size = 0;
int l_emu_amx = 0;
const char *const l_env_emu_amx = getenv("EMULATE_AMX");
if ( 0 == l_env_emu_amx ) {
} else {
l_emu_amx = atoi(l_env_emu_amx);
}
if (l_emu_amx > 0) {
int expand_scratch_factor = (i_micro_kernel_config->n_tiles == 1) ? 2 : 1;
i_micro_kernel_config->emulation_scratch_offset = expand_scratch_factor * i_xgemm_desc->n * i_xgemm_desc->ldc * 4 /*i_micro_kernel_config->datatype_size*/;
gemm_scratch_size = expand_scratch_factor * i_xgemm_desc->n * i_xgemm_desc->ldc * 4 /*i_micro_kernel_config->datatype_size*/ + 8 * 32 * 32 + 32 * 64 ;
if (LIBXSMM_DATATYPE_F32 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype )) {
i_micro_kernel_config->emulation_scratch_offset = 0;
gemm_scratch_size = 8 * 32 * 32 + 32 * 64 ;
}
} else {
if ((io_generated_code->arch >= LIBXSMM_X86_AVX512_SPR)) {
int expand_scratch_factor = (i_micro_kernel_config->n_tiles == 1) ? 2 : 1;
gemm_scratch_size = LIBXSMM_MAX(32*64, expand_scratch_factor * i_xgemm_desc->n * i_xgemm_desc->ldc * 4/*i_micro_kernel_config->datatype_size*/);
} else {
/* Allocate scratch for stashing 32 zmms */
if ( ((LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI) ) {
gemm_scratch_size = 32 * 64;
}
}
}
scratch_pad_size = (gemm_scratch_size % 64 == 0) ? 0 : ((gemm_scratch_size + 63)/64) * 64 - gemm_scratch_size;
gemm_scratch_size += scratch_pad_size;
if (gemm_scratch_size > 0) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, LIBXSMM_X86_GP_REG_RSP, gemm_scratch_size );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR, LIBXSMM_X86_GP_REG_RSP );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_stack_frame( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
unsigned int temp_reg = LIBXSMM_X86_GP_REG_R10;
libxsmm_x86_instruction_push_reg( io_generated_code, LIBXSMM_X86_GP_REG_RBP );
libxsmm_x86_instruction_alu_reg( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RSP, LIBXSMM_X86_GP_REG_RBP);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, LIBXSMM_X86_GP_REG_RSP, 88 );
if ( ((LIBXSMM_GEMM_FLAG_USE_XGEMM_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_ABI) ||
((LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI) ) {
libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars_v2( io_generated_code, i_xgemm_desc, i_micro_kernel_config, i_gp_reg_mapping );
} else {
libxsmm_generator_gemm_setup_stack_frame_fill_stack_vars(io_generated_code, i_xgemm_desc, i_micro_kernel_config);
}
/* The stack now looks like this:
* 10th param (if applicable) <-- RBP+80
* 9th param (if applicable) <-- RBP+72
* 8th param (if applicable) <-- RBP+64
* 7th param (if applicable) <-- RBP+56
* Return address <-- RBP+48
* Calle SAVED-regs <-- RBP[+8,+16,+24,+32,+40]
* Entry/saved RBP <-- RBP
* prefetch A ptr <-- RBP-8
* prefetch B ptr <-- RBP-16
* Offset A array ptr <-- RBP-24
* Offset B array ptr <-- RBP-32
* Int8 scaling factor <-- RBP-40
* GEMM_scratch ptr in stack (to be filled) <-- RBP-48
* Eltwise bias ptr <-- RBP-56
* Eltwise output_ptr <-- RBP-64
* Eltwise buf1_ptr <-- RBP-72
* Eltwise buf2_ptr <-- RBP-80
* Batch-reduce count <-- RBP-88, RSP
*
*/
/* Now align RSP to 64 byte boundary */
libxsmm_x86_instruction_alu_imm_i64( io_generated_code, i_micro_kernel_config->alu_mov_instruction, temp_reg, 0xFFFFFFFFFFFFFFC0 );
libxsmm_x86_instruction_alu_reg( io_generated_code, LIBXSMM_X86_INSTR_ANDQ, temp_reg, LIBXSMM_X86_GP_REG_RSP);
/* Now alllocate in stack required GEMM scratch if necessary*/
libxsmm_generator_gemm_setup_stack_frame_allocate_scratch( io_generated_code, i_xgemm_desc, i_micro_kernel_config );
/* The stack at exit of setup looks like this:
*
* 10th param (if applicable) <-- RBP+80
* 9th param (if applicable) <-- RBP+72
* 8th param (if applicable) <-- RBP+64
* 7th param (if applicable) <-- RBP+56
* Return address <-- RBP+48
* Calle SAVED-regs <-- RBP[+8,+16,+24,+32,+40]
* Entry/saved RBP <-- RBP
* prefetch A ptr <-- RBP-8
* prefetch B ptr <-- RBP-16
* Offset A array ptr <-- RBP-24
* Offset B array ptr <-- RBP-32
* Int8 scaling factor <-- RBP-40
* GEMM_scratch ptr in stack <-- RBP-48
* Eltwise bias ptr <-- RBP-56
* Eltwise output_ptr <-- RBP-64
* Eltwise buf1_ptr <-- RBP-72
* Eltwise buf2_ptr <-- RBP-80
* Batch-reduce count <-- RBP-88, RSP
* [ Potentianl pad for 64b align ]
* GEMM scratch, 64b aligned <-- (RBP-48) contains this address
*
*/
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_destroy_stack_frame( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config ) {
LIBXSMM_UNUSED(i_xgemm_desc);
LIBXSMM_UNUSED(i_gp_reg_mapping);
libxsmm_x86_instruction_alu_reg( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_RSP);
libxsmm_x86_instruction_pop_reg( io_generated_code, LIBXSMM_X86_GP_REG_RBP );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
i_micro_kernel_config->fused_bcolbias = 0;
i_micro_kernel_config->fused_scolbias = 0;
i_micro_kernel_config->fused_relu = 0;
i_micro_kernel_config->fused_relu_nobitmask = 0;
i_micro_kernel_config->fused_relu_bwd = 0;
i_micro_kernel_config->fused_sigmoid = 0;
i_micro_kernel_config->overwrite_C = 1;
i_micro_kernel_config->vnni_format_C = 0;
i_micro_kernel_config->decompress_A = 0;
i_micro_kernel_config->sparsity_factor_A = 1;
i_micro_kernel_config->vnni_cvt_output_ext_buf = 0;
i_micro_kernel_config->norm_to_normT_B_ext_buf = 0;
i_micro_kernel_config->stride_b_trans = 0;
i_micro_kernel_config->fused_eltwise = 0;
i_micro_kernel_config->has_colbias_act_fused = 0;
if ( ((LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI & i_xgemm_desc->flags) == LIBXSMM_GEMM_FLAG_USE_XGEMM_EXT_ABI) ) {
i_micro_kernel_config->overwrite_C = ((i_xgemm_desc->internal_flags_2 & 0x4) > 0) ? 0 : 1;
if (i_xgemm_desc->eltw_cp_op == LIBXSMM_MELTW_OPERATION_UNARY) {
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_RELU) {
i_micro_kernel_config->has_colbias_act_fused = 1;
if ((i_xgemm_desc->eltw_cp_flags & LIBXSMM_MELTW_FLAG_UNARY_BITMASK_2BYTEMULT) > 0){
i_micro_kernel_config->fused_relu = 1;
} else {
i_micro_kernel_config->fused_relu_nobitmask = 1;
}
}
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_SIGMOID) {
i_micro_kernel_config->has_colbias_act_fused = 1;
i_micro_kernel_config->fused_sigmoid = 1;
}
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_TRANSFORM_NORM_TO_VNNI) {
i_micro_kernel_config->vnni_format_C = 1;
if (i_micro_kernel_config->overwrite_C == 0) {
i_micro_kernel_config->vnni_cvt_output_ext_buf = 1;
}
}
if (i_xgemm_desc->eltw_cp_param == LIBXSMM_MELTW_TYPE_UNARY_RELU_INV) {
i_micro_kernel_config->has_colbias_act_fused = 1;
i_micro_kernel_config->fused_relu_bwd = 1;
}
}
if (i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_BINARY) {
if (i_xgemm_desc->meltw_param == LIBXSMM_MELTW_TYPE_BINARY_ADD) {
if (((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_BINARY_BCAST_COL_IN_0) > 0 ) ||
((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_BINARY_BCAST_COL_IN_1) > 0 )) {
i_micro_kernel_config->has_colbias_act_fused = 1;
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_BF16) {
i_micro_kernel_config->fused_bcolbias = 1;
}
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_F32) {
i_micro_kernel_config->fused_scolbias = 1;
}
}
}
}
if (i_xgemm_desc->eltw_ap_op == LIBXSMM_MELTW_OPERATION_UNARY) {
if ((i_xgemm_desc->internal_flags_2 & 0x1) > 0){
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_1) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 1;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_2) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 2;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_4) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 4;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_8) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 8;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_16) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 16;
}
if (i_xgemm_desc->eltw_ap_param == LIBXSMM_MELTW_TYPE_UNARY_DECOMPRESS_SPARSE_FACTOR_32) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = 32;
}
}
}
if (i_xgemm_desc->eltw_bp_op == LIBXSMM_MELTW_OPERATION_UNARY) {
if (i_xgemm_desc->eltw_bp_param == LIBXSMM_MELTW_TYPE_UNARY_TRANSFORM_NORM_TO_NORMT) {
if ((i_xgemm_desc->internal_flags_2 & 0x2) > 0){
i_micro_kernel_config->norm_to_normT_B_ext_buf = 1;
i_micro_kernel_config->stride_b_trans = i_xgemm_desc->ldbp;
}
}
}
i_micro_kernel_config->fused_eltwise = (i_micro_kernel_config->has_colbias_act_fused == 1) ? 1: 0;
if (i_micro_kernel_config->decompress_A == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setup_fusion_microkernel_properties(const libxsmm_gemm_descriptor* i_xgemm_desc,
libxsmm_micro_kernel_config* i_micro_kernel_config ) {
i_micro_kernel_config->fused_bcolbias = 0;
i_micro_kernel_config->fused_scolbias = 0;
i_micro_kernel_config->fused_relu = 0;
i_micro_kernel_config->fused_relu_nobitmask = 0;
i_micro_kernel_config->fused_relu_bwd = 0;
i_micro_kernel_config->fused_sigmoid = 0;
i_micro_kernel_config->overwrite_C = 0;
i_micro_kernel_config->vnni_format_C = 0;
i_micro_kernel_config->decompress_A = 0;
i_micro_kernel_config->sparsity_factor_A = 1;
i_micro_kernel_config->vnni_cvt_output_ext_buf = 0;
i_micro_kernel_config->norm_to_normT_B_ext_buf = 0;
i_micro_kernel_config->stride_b_trans = 0;
i_micro_kernel_config->fused_eltwise = 0;
i_micro_kernel_config->has_colbias_act_fused = 0;
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_DECOMPRESS_A) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_ACT_TRANSFORM_C_NORM_TO_VNNI_EXT_BUFFER)) {
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_OVERWRITE_C) > 0) {
i_micro_kernel_config->overwrite_C = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU) > 0) {
i_micro_kernel_config->fused_relu = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_NOBITMASK) > 0) {
i_micro_kernel_config->fused_relu_nobitmask = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_BWD) > 0) {
i_micro_kernel_config->fused_relu_bwd = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_SIGM) > 0) {
i_micro_kernel_config->fused_sigmoid = 1;
}
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_COLBIAS) > 0) {
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_BF16) {
i_micro_kernel_config->fused_bcolbias = 1;
}
if (i_xgemm_desc->meltw_datatype_aux == LIBXSMM_DATATYPE_F32) {
i_micro_kernel_config->fused_scolbias = 1;
}
}
} else {
i_micro_kernel_config->overwrite_C = 1;
i_micro_kernel_config->vnni_format_C = ((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_C) > 0) ? 1 : 0;
}
/* Determine if we have to decompress A... */
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_DECOMPRESS_A) || (i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_DECOMPRESS_A)) {
i_micro_kernel_config->decompress_A = 1;
i_micro_kernel_config->sparsity_factor_A = i_xgemm_desc->meltw_param;
}
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT) || (i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_DECOMPRESS_A)) {
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_BWD) > 0) {
i_micro_kernel_config->fused_relu_bwd = 1;
}
i_micro_kernel_config->has_colbias_act_fused = 1;
if (i_xgemm_desc->meltw_flags == (unsigned int)LIBXSMM_MELTW_FLAG_NONE) {
i_micro_kernel_config->has_colbias_act_fused = 0;
}
}
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_TRANSFORM_C_NORM_TO_VNNI_EXT_BUFFER) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_ACT_TRANSFORM_C_NORM_TO_VNNI_EXT_BUFFER)) {
i_micro_kernel_config->vnni_cvt_output_ext_buf = 1;
if ((i_xgemm_desc->meltw_flags & LIBXSMM_MELTW_FLAG_ACT_RELU_BWD) > 0) {
i_micro_kernel_config->fused_relu_bwd = 1;
}
}
if ((i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_TRANSFORM_B_NORM_TO_NORMT_EXT_BUFFER) ||
(i_xgemm_desc->meltw_operation == LIBXSMM_MELTW_OPERATION_COLBIAS_ACT_TRANSFORM_B_NORM_TO_NORMT_EXT_BUFFER)) {
i_micro_kernel_config->norm_to_normT_B_ext_buf = 1;
}
i_micro_kernel_config->fused_eltwise = (i_micro_kernel_config->has_colbias_act_fused == 1) ? 1: 0;
if (i_micro_kernel_config->decompress_A == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
if (i_micro_kernel_config->norm_to_normT_B_ext_buf == 1) {
i_micro_kernel_config->fused_eltwise = 1;
i_micro_kernel_config->stride_b_trans = i_xgemm_desc->meltw_ldy;
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
i_micro_kernel_config->fused_eltwise = 1;
}
}
LIBXSMM_API_INTERN
int libxsmm_generator_gemm_get_rbp_relative_offset( libxsmm_gemm_stack_var stack_var ) {
/* The stack at exit of setup looks like this:
*
* 10th param (if applicable) <-- RBP+40
* 9th param (if applicable) <-- RBP+32
* 8th param (if applicable) <-- RBP+24
* 7th param (if applicable) <-- RBP+16
* Return address <-- RBP+8
* Entry/saved RBP <-- RBP
* prefetch A ptr <-- RBP-8
* prefetch B ptr <-- RBP-16
* Offset A array ptr <-- RBP-24
* Offset B array ptr <-- RBP-32
* Int8 scaling factor <-- RBP-40
* GEMM_scratch ptr in stack (to be filled) <-- RBP-48
* Eltwise bias ptr <-- RBP-56
* Eltwise output_ptr <-- RBP-64
* Eltwise buf1_ptr <-- RBP-72
* Eltwise buf2_ptr <-- RBP-80
* Batch-reduce count <-- RBP-88
* */
switch ( stack_var ) {
case LIBXSMM_GEMM_STACK_VAR_NONE:
return 0;
case LIBXSMM_GEMM_STACK_VAR_PFA_PTR:
return -8;
case LIBXSMM_GEMM_STACK_VAR_PFB_PTR:
return -16;
case LIBXSMM_GEMM_STACK_VAR_A_OFFS_BRGEMM_PTR:
return -24;
case LIBXSMM_GEMM_STACK_VAR_B_OFFS_BRGEMM_PTR:
return -32;
case LIBXSMM_GEMM_STACK_VAR_INT8_SCF:
return -40;
case LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR:
return -48;
case LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR:
return -56;
case LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR:
return -64;
case LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_BUF1:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_BUF2:
return -80;
case LIBXSMM_GEMM_STACK_VAR_BRCOUNT:
return -88;
case LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_B:
return -72;
case LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_C:
return -80;
case LIBXSMM_GEMM_STACK_VAR_ELT_BITMAP_PTR:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_DECOMPRESS_BUF:
return -80;
case LIBXSMM_GEMM_STACK_VAR_ARG_7:
return 56;
case LIBXSMM_GEMM_STACK_VAR_ARG_8:
return 64;
case LIBXSMM_GEMM_STACK_VAR_ARG_9:
return 72;
case LIBXSMM_GEMM_STACK_VAR_ARG_10:
return 80;
default:
return 0;
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_getval_stack_var( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_gemm_stack_var stack_var,
unsigned int i_gp_reg ) {
int offset = libxsmm_generator_gemm_get_rbp_relative_offset(stack_var);
/* make sure we requested a legal stack var */
if (offset == 0) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_GENERAL );
return;
}
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_UNDEF, 0, offset, i_gp_reg, 0 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setval_stack_var( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_gemm_stack_var stack_var,
unsigned int i_gp_reg ) {
int offset = libxsmm_generator_gemm_get_rbp_relative_offset(stack_var);
/* make sure we requested to set a legal stack var */
if (offset >= 0) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_GENERAL );
return;
}
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_UNDEF, 0, offset, i_gp_reg, 1 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_fullvector( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
memset(io_micro_kernel_config, 0, sizeof(*io_micro_kernel_config)); /* avoid warning "maybe used uninitialized" */
libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(i_xgemm_desc, io_micro_kernel_config);
if ( (i_arch <= LIBXSMM_TARGET_ARCH_GENERIC) || (i_arch > LIBXSMM_X86_ALLFEAT) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 2;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPD;
}
if ( i_arch == LIBXSMM_X86_GENERIC ) {
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_SHUFPD;
} else {
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVDDUP;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVAPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDPD;
} else {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_SHUFPS;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVAPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPS;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDPS;
}
} else if ( i_arch <= LIBXSMM_X86_AVX2 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'y';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
}
} else {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
}
}
} else if ( i_arch < LIBXSMM_X86_AVX512) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 32;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'y';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else if ( LIBXSMM_DATATYPE_F32 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPWSSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 1;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPBUSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) > 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VDPBF16PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) == 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 2;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTW;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
/* shouldn't happen as we caught this case earlier */
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 32;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'z';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else if ( LIBXSMM_DATATYPE_F32 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPWSSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 1;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPBUSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) > 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 4;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VDPBF16PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) &&
((i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_VNNI_A) == 0) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size_in = 2;
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->datatype_size_out = 2;
} else {
io_micro_kernel_config->datatype_size_out = 4;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTW;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
/* shouldn't happen as we caught this case earlier */
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
/* that should no happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_halfvector( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(i_xgemm_desc, io_micro_kernel_config);
if ( (i_arch <= LIBXSMM_TARGET_ARCH_GENERIC) || (i_arch > LIBXSMM_X86_ALLFEAT) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
#if !defined(NDEBUG)
fprintf(stderr, "LIBXSMM WARNING, libxsmm_generator_gemm_init_micro_kernel_config_halfvector, redirecting to scalar, please fix the generation code!!!\n");
#endif
libxsmm_generator_gemm_init_micro_kernel_config_scalar( io_micro_kernel_config, i_arch, i_xgemm_desc, i_use_masking_a_c );
} else if ( i_arch <= LIBXSMM_X86_AVX2 ) {
io_micro_kernel_config->instruction_set = LIBXSMM_X86_AVX;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 2;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVDDUP;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
#if !defined(NDEBUG)
fprintf(stderr, "LIBXSMM WARNING, libxsmm_generator_gemm_init_micro_kernel_config_halfvector, AVX512 redirecting to fullvector!\n");
#endif
libxsmm_generator_gemm_init_micro_kernel_config_fullvector( io_micro_kernel_config, i_arch, i_xgemm_desc, i_use_masking_a_c );
} else {
/* should not happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_scalar( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
libxsmm_generator_gemm_setup_fusion_microkernel_properties_v2(i_xgemm_desc, io_micro_kernel_config);
if ( ( i_arch <= LIBXSMM_TARGET_ARCH_GENERIC ) || ( i_arch > LIBXSMM_X86_ALLFEAT ) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size_in = 0;
io_micro_kernel_config->datatype_size_out = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDSD;
} else {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPS;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULSS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDSS;
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 8;
io_micro_kernel_config->datatype_size_out = 8;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDSD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231SD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size_in = 4;
io_micro_kernel_config->datatype_size_out = 4;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULSS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDSS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231SS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
}
} else {
/* should not happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_add_flop_counter( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc ) {
if ( io_generated_code->code_type == 0 ) {
char l_new_code[512];
const unsigned int l_max_code_length = sizeof(l_new_code) - 1;
int l_code_length = 0;
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#ifndef NDEBUG\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#ifdef _OPENMP\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#pragma omp atomic\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#endif\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "libxsmm_num_total_flops += %u;\n", 2u * i_xgemm_desc->m * i_xgemm_desc->n * i_xgemm_desc->k);
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#endif\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_kloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_m_blocking,
const unsigned int i_k_blocking ) {
LIBXSMM_UNUSED(i_m_blocking);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_kloop, 0);
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_kloop, i_k_blocking);
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_kloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_max_blocked_k,
const unsigned int i_kloop_complete ) {
LIBXSMM_UNUSED(i_m_blocking);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_kloop, i_max_blocked_k );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
if ( i_kloop_complete != 0 ) {
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_xgemm_desc->ldb * i_xgemm_desc->k * i_micro_kernel_config->datatype_size_in;
} else {
l_b_offset = i_xgemm_desc->k * i_micro_kernel_config->datatype_size_in;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_b, l_b_offset );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_reduceloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_reduce_loop, 0);
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_reduceloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc) {
LIBXSMM_UNUSED(i_xgemm_desc);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_reduce_loop, 1);
libxsmm_x86_instruction_alu_reg( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_reduce_count, i_gp_reg_mapping->gp_reg_reduce_loop);
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_nloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_n_init,
const unsigned int i_n_blocking) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_init );
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_blocking );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_nloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_n_blocking,
const unsigned int i_n_done ) {
if ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
if (i_micro_kernel_config->vnni_format_C == 0) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*2 /*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*2 /*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
}
} else if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)/**(i_micro_kernel_config->datatype_size/4)*/) - ((i_xgemm_desc->m) /** (i_micro_kernel_config->datatype_size/4)*/) );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size_out)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_out)) );
}
/* Also adjust eltwise pointers */
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) && (i_micro_kernel_config->overwrite_C == 1) ) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*i_xgemm_desc->ldc)/8 - ((i_xgemm_desc->m/8) ) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*(i_xgemm_desc->ldc)*2/*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*i_xgemm_desc->ldc)/8 - ((i_xgemm_desc->m/8) ) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
/* In this case also advance the output ptr */
if (i_micro_kernel_config->overwrite_C == 0) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, (i_n_blocking*(i_xgemm_desc->ldc)*2/*(i_micro_kernel_config->datatype_size/2)*/) - ((i_xgemm_desc->m) * 2 /*(i_micro_kernel_config->datatype_size/2)*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0, ( i_xgemm_desc->m * 2/*(i_micro_kernel_config->datatype_size/2)*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0, ( i_xgemm_desc->m * 4/*i_micro_kernel_config->datatype_size*/) );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
/* B prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_b_prefetch,
(i_n_blocking*(i_xgemm_desc->ldc)*i_micro_kernel_config->datatype_size_in) - ((i_xgemm_desc->m)*i_micro_kernel_config->datatype_size_in) );
}
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c_prefetch,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size_out)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_out)) );
}
#endif
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
/* handle trans B */
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_n_blocking * i_micro_kernel_config->datatype_size_in;
} else {
l_b_offset = i_n_blocking * i_xgemm_desc->ldb * i_micro_kernel_config->datatype_size_in;
}
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_help_0, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_b,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_help_0, l_b_offset );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_b,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_help_0, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
}
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
} else {
/* handle trans B */
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_n_blocking * i_micro_kernel_config->datatype_size_in;
} else {
l_b_offset = i_n_blocking * i_xgemm_desc->ldb * i_micro_kernel_config->datatype_size_in;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_b, l_b_offset );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_a, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size_in)) );
}
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_done );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_mloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_m_init,
const unsigned int i_m_blocking ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_init );
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_blocking );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_mloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_m_done ) {
/* advance C pointer */
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c, i_m_blocking*(i_micro_kernel_config->datatype_size_out) );
/* Also adjust eltwise pointers */
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) && (i_micro_kernel_config->overwrite_C == 1) ) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking/8 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking*2*2/*(i_micro_kernel_config->datatype_size/2)*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_relu_bwd == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking/8 );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->overwrite_C == 0) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking*2/*(i_micro_kernel_config->datatype_size/2)*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking * 2/*(i_micro_kernel_config->datatype_size/2)*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_getval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_help_0, i_m_blocking * 4 /*i_micro_kernel_config->datatype_size*/ );
libxsmm_generator_gemm_setval_stack_var( io_generated_code, i_micro_kernel_config, LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR, i_gp_reg_mapping->gp_reg_help_0 );
}
if ((i_micro_kernel_config->fused_relu == 1) || (i_micro_kernel_config->vnni_cvt_output_ext_buf == 1) || (i_micro_kernel_config->fused_relu_bwd == 1) || (i_micro_kernel_config->fused_bcolbias == 1) || (i_micro_kernel_config->fused_scolbias == 1) || (i_micro_kernel_config->overwrite_C == 0)) {
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
/* C prefetch */
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch, i_m_blocking*(i_micro_kernel_config->datatype_size_out) );
}
#endif
/* B prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_b_prefetch, i_m_blocking*i_micro_kernel_config->datatype_size_in );
}
}
/* A prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C) {
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) -
(i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_a_prefetch,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) -
(i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
}
}
/* advance A pointer */
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) - (i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_a,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size_in) * (i_xgemm_desc->lda) ) - (i_m_blocking * (i_micro_kernel_config->datatype_size_in)) );
}
/* loop handling */
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_done );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_load_C( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_n_blocking ) {
unsigned int l_m_blocking, l_vec_reg_acc_start;
/* register blocking counter in n */
unsigned int l_n = 0;
/* register blocking counter in m */
unsigned int l_m = 0;
assert(0 < i_micro_kernel_config->vector_length);
/* deriving register blocking from kernel config */
l_m_blocking = ( i_m_blocking % i_micro_kernel_config->vector_length == 0 ) ? i_m_blocking/i_micro_kernel_config->vector_length : (i_m_blocking/i_micro_kernel_config->vector_length)+1;
/* start register of accumulator */
l_vec_reg_acc_start = i_micro_kernel_config->vector_reg_count - (i_n_blocking * l_m_blocking);
#if !defined(NDEBUG)
/* Do some test if it is possible to generate the requested code.
This is not done in release mode and therefore bad
things might happen.... HUAAH */
if (i_micro_kernel_config->instruction_set == LIBXSMM_X86_GENERIC ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE3 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE42 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX2 ) {
if ( (i_n_blocking > 3) || (i_n_blocking < 1) || (i_m_blocking < 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256 ||i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX
||i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX) {
if ( (i_n_blocking > 28) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 8) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking != 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 6) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else {}
#if 0
if ( i_m_blocking % i_micro_kernel_config->vector_length != 0 ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_M_BLOCK );
return;
}
#endif
#endif /*!defined(NDEBUG)*/
/* load C accumulator */
if (0 == (LIBXSMM_GEMM_FLAG_BETA_0 & i_xgemm_desc->flags)) { /* Beta=1 */
/* pure BF16 kernel */
if ( ( ((i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE) && (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT)) ||
((i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ))
) && ( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* we add when scaling during conversion to FP32 */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* load 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'x' : 'y',
0, 0, 1, 0 );
}
/* convert 16 bit values into 32 bit (integer convert) */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXWD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
/* shift 16 bits to the left to generate valid FP32 numbers */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSLLD_I,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
16);
}
}
/* Check if we have to add bias */
if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_add_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_BF16, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
}
/* pure int8 kernel */
} else if ( ( ((i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE) && (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT)) ||
((i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) )
) &&
( (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* we need to up convert int8 to int32 */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* load 16 bit values into xmm portion of the register*/
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU8,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX2) && ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512 ) ) ? 'y' : 'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
'x',
0, 0, 1, 0 );
}
/* convert 8 bit values into 32 bit (integer convert) */
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED) != 0 ) {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVZXBD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXBD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
}
}
} else {
/* adding to C, so let's load C */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* we only mask the last m-blocked load */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 1, 0 );
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
for (l_m = 0; l_m < l_m_blocking; l_m += l_m++ ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out));
}
}
#endif
}
/* Check if we have to add bias */
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_add_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_F32, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
}
}
} else {
if (i_micro_kernel_config->fused_scolbias == 1) {
libxsmm_generator_gemm_load_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_F32, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
} else if (i_micro_kernel_config->fused_bcolbias == 1) {
libxsmm_generator_gemm_load_colbias_to_2D_block( io_generated_code, i_gp_reg_mapping, i_micro_kernel_config,
LIBXSMM_DATATYPE_BF16, l_vec_reg_acc_start, l_m_blocking, i_n_blocking );
} else {
/* overwriting C, so let's xout accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* @TODO: cannot migrate to new encoder as this is also SSE */
if ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) && LIBXSMM_DATATYPE_I32 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype )){
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), 0, 1, 0 );
} else {
if ( io_generated_code->arch >= LIBXSMM_X86_AVX ) {
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
}
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
for (l_m = 0; l_m < l_m_blocking; l_m += l_m++ ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out));
}
}
#endif
}
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_store_C( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_n_blocking )
{
/* deriving register blocking from kernel config */
unsigned int l_m_blocking = ( i_m_blocking % i_micro_kernel_config->vector_length == 0 ) ? i_m_blocking/i_micro_kernel_config->vector_length : (i_m_blocking/i_micro_kernel_config->vector_length)+1;
/* register blocking counter in n */
unsigned int l_n = 0;
/* register blocking counter in m */
unsigned int l_m = 0;
/* start register of accumulator */
unsigned int l_vec_reg_acc_start = i_micro_kernel_config->vector_reg_count - (i_n_blocking * l_m_blocking);
/* select store instruction */
unsigned int l_vstore = (LIBXSMM_GEMM_FLAG_ALIGN_C_NTS_HINT == (LIBXSMM_GEMM_FLAG_ALIGN_C_NTS_HINT & i_xgemm_desc->flags)) ? i_micro_kernel_config->c_vmove_nts_instruction : i_micro_kernel_config->c_vmove_instruction;
libxsmm_micro_kernel_config l_micro_kernel_config_mod;
libxsmm_micro_kernel_config *i_micro_kernel_config_mod = (libxsmm_micro_kernel_config*) &l_micro_kernel_config_mod;
memcpy(i_micro_kernel_config_mod, i_micro_kernel_config, sizeof(libxsmm_micro_kernel_config));
/* @TODO fix this test */
#if !defined(NDEBUG)
if (i_micro_kernel_config->instruction_set == LIBXSMM_X86_GENERIC ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE3 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE42 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX2 ) {
if ( (i_n_blocking > 3) || (i_n_blocking < 1) || (i_m_blocking < 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256 || i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX
|| i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX) {
if ( (i_n_blocking > 28) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 8) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set > LIBXSMM_X86_AVX512_VL256 ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 6) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512_VL256 ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (i_m_blocking != i_micro_kernel_config->vector_length) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else {}
#if 0
if ( i_m_blocking % i_micro_kernel_config->vector_length != 0 ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_M_BLOCK );
return;
}
#endif
#endif
if ( ( (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_CORE) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_CLX) ||
(i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256) ) &&
( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
const unsigned int relu_bitmask_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int scratch_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int aux_gpr = i_gp_reg_mapping->gp_reg_help_1;
const unsigned int aux_vreg = 1;
const unsigned int zero_vreg = 0;
/* Check out if fusion has to be applied */
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_prepare_relu_fusion( io_generated_code, i_micro_kernel_config,
zero_vreg, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( io_generated_code, i_micro_kernel_config_mod,
l_vec_reg_acc_start, l_m_blocking, i_n_blocking, scratch_gpr, aux_gpr);
}
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), tmp_vreg );
/* Store vreg back to scratch */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVUPS,
scratch_gpr,
LIBXSMM_X86_GP_REG_UNDEF, 0,
(l_vec_reg_acc_start + l_m + (l_m_blocking * l_n)) * 64,
i_micro_kernel_config->vector_name,
tmp_vreg, 0, 0, 1 );
}
}
}
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_cleanup_relu_fusion( io_generated_code, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
/* Restore accumulators from scratch */
libxsmm_generator_gemm_restore_2D_regblock_from_scratch( io_generated_code, i_micro_kernel_config,
scratch_gpr, l_vec_reg_acc_start, l_m_blocking, i_n_blocking);
libxsmm_generator_gemm_cleanup_sigmoid_fusion( io_generated_code, scratch_gpr, aux_gpr );
}
/* init stack with helper variables for SW-based RNE rounding */
/* push 0x7f800000 on the stack, naninf masking */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x7f800000);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00010000 on the stack, fixup masking */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00010000);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00007fff on the stack, rneadd */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00007fff);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00000001 on the stack, fixup */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00000001);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* storing downconverted and rounded C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
/* and with naninf */
libxsmm_x86_instruction_vec_compute_mem_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPANDD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
24, 1,
reg_X,
0 );
/* and with fixup */
libxsmm_x86_instruction_vec_compute_mem_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPANDD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
16, 1,
reg_X,
1 );
/* compute naninf mask k7 */
libxsmm_x86_instruction_vec_compute_mem_2reg_imm8( io_generated_code,
LIBXSMM_X86_INSTR_VPCMPD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
24,
1,
0,
7,
4 );
/* compute fixup mask k6 */
libxsmm_x86_instruction_vec_compute_mem_2reg_imm8( io_generated_code,
LIBXSMM_X86_INSTR_VPCMPD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
16,
1,
1,
6,
0 );
/* load rneadd */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF, 0,
8,
i_micro_kernel_config->vector_name,
0, 0, 1, 0 );
/* load fixup */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF, 0,
0,
i_micro_kernel_config->vector_name,
1, 0, 1, 0 );
/* compute fixup */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
LIBXSMM_X86_INSTR_VPADDD,
i_micro_kernel_config->vector_name,
1,
0,
0,
6,
0 );
/* compute fixup */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
LIBXSMM_X86_INSTR_VPADDD,
i_micro_kernel_config->vector_name,
0,
reg_X,
reg_X,
7,
0 );
/* shift FP32 by 16bit to right */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSRAD_I,
i_micro_kernel_config->vector_name,
reg_X,
reg_X,
16);
/* shift FP32 by 16bit to right */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVDW,
i_micro_kernel_config->vector_name,
reg_X,
0 );
/* store 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX) ) ? 'y' : 'z',
0, 2, 0, 1 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( ( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CLX) ) ? 'x' : 'y',
0, 0, 0, 1 );
}
}
}
/* clean stack and restore help5 */
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
} else if ( ( (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT)
&& ((i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CPX) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX))
) &&
( (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) )
) {
const unsigned int relu_bitmask_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int scratch_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int aux_gpr = i_gp_reg_mapping->gp_reg_help_1;
const unsigned int zero_vreg = 1;
const unsigned int aux_vreg = 2;
/* storing downconverted and rounded C accumulator */
/* Check out if fusion has to be applied */
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_prepare_relu_fusion( io_generated_code, i_micro_kernel_config,
zero_vreg, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
/* First dump the accumulators to scratch and then setup sigmoid coeffcients to be reused */
libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( io_generated_code, i_micro_kernel_config_mod,
l_vec_reg_acc_start, l_m_blocking, i_n_blocking, scratch_gpr, aux_gpr);
}
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
unsigned int l_m_2_blocking = (l_m_blocking/2)*2;
l_m = 0;
if ( i_micro_kernel_config->use_masking_a_c != 0 ) {
for ( l_m = 0 ; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, reg_X, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
reg_X = tmp_vreg;
}
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNEPS2BF16,
i_micro_kernel_config->vector_name,
reg_X, 0 );
/* store 16 bit values into ymm portion of the register bfloat mask fix can lead to errors x should not be masked */
if ( l_m == (l_m_blocking - 1) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'y' : 'z',
0, 2, 0, 1 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'x' : 'y',
0, 0, 0, 1 );
}
}
} else {
for (; l_m < l_m_2_blocking; l_m+=2 ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
unsigned int reg_X2 = l_vec_reg_acc_start + l_m+1 + (l_m_blocking * l_n);
if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
unsigned int tmp_vreg2 = 1;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X2, tmp_vreg2 );
reg_X = tmp_vreg;
reg_X2 = tmp_vreg2;
}
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNE2PS2BF16,
i_micro_kernel_config->vector_name,
reg_X, reg_X2, 0 );
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, 0, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 0, aux_gpr, aux_vreg);
}
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'y' : 'z',
0, 0, 0, 1 );
}
for (; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, reg_X, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
reg_X = tmp_vreg;
}
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNEPS2BF16,
i_micro_kernel_config->vector_name,
reg_X, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
( i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_VL256_CPX ) ? 'x' : 'y',
0, 0, 0, 1 );
}
}
}
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_cleanup_relu_fusion( io_generated_code, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_cleanup_sigmoid_fusion( io_generated_code, scratch_gpr, aux_gpr );
}
} else if ( ( (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT) && (i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_VL256) ) &&
( (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* pick the right instrucitons */
unsigned int inst_f32_i32 = ( ( i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED ) != 0 ) ? LIBXSMM_X86_INSTR_VCVTPS2UDQ : LIBXSMM_X86_INSTR_VCVTPS2DQ;
unsigned int inst_i32_i8 = ( ( i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED ) != 0 ) ? LIBXSMM_X86_INSTR_VPMOVUSDB : LIBXSMM_X86_INSTR_VPMOVSDB;
/* there are case where we need to load the scaling factor's address from the stack argument list */
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_OFFSET) != 0 ) {
libxsmm_x86_instruction_load_arg_to_reg( io_generated_code, 0, i_gp_reg_mapping->gp_reg_scf );
}
/* loading scf into register 3 */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
i_gp_reg_mapping->gp_reg_scf,
LIBXSMM_X86_GP_REG_UNDEF, 0, 0,
i_micro_kernel_config->vector_name,
3, 0, 1, 0 );
/* Zero out register 0 to perform relu */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
0,
0,
0);
/* storing downconverted and rounded C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
/* Convert result to F32 */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTDQ2PS,
i_micro_kernel_config->vector_name,
reg_X,
reg_X );
/* Multiply with scaling factor */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VMULPS,
i_micro_kernel_config->vector_name,
reg_X,
3,
reg_X );
/* Perform RELU */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VMAXPS,
i_micro_kernel_config->vector_name,
reg_X,
0,
reg_X);
/* Round result to int32 */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
inst_f32_i32,
i_micro_kernel_config->vector_name,
reg_X, reg_X );
/* down-convert to int8 */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
inst_i32_i8,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
reg_X, ( ( l_m == (l_m_blocking - 1)) && ( i_micro_kernel_config->use_masking_a_c != 0 ) ) ? 2 : 0, 0, 1 );
}
}
} else {
/* storing C accumulator */
const unsigned int relu_bitmask_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int scratch_gpr = i_gp_reg_mapping->gp_reg_help_2;
const unsigned int aux_gpr = i_gp_reg_mapping->gp_reg_help_1;
const unsigned int zero_vreg = 0;
const unsigned int aux_vreg = 1;
/* Check out if fusion has to be applied */
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_prepare_relu_fusion( io_generated_code, i_micro_kernel_config,
zero_vreg, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_dump_2D_block_and_prepare_sigmoid_fusion( io_generated_code, i_micro_kernel_config_mod,
l_vec_reg_acc_start, l_m_blocking, i_n_blocking, scratch_gpr, aux_gpr);
}
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
unsigned int bitmask_offset = (io_generated_code->arch < LIBXSMM_X86_AVX512) ? ((l_n * i_xgemm_desc->ldc) + (l_m * 8))/8 : ((l_n * i_xgemm_desc->ldc) + (l_m * 16))/8;
libxsmm_generator_gemm_apply_relu_to_vreg( io_generated_code, i_micro_kernel_config,
zero_vreg, reg_X, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, bitmask_offset, 1, aux_gpr, aux_vreg);
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
unsigned int tmp_vreg = 0;
libxsmm_generator_gemm_apply_sigmoid_to_vreg_from_scratch( io_generated_code, i_micro_kernel_config_mod,
scratch_gpr, reg_X, tmp_vreg );
reg_X = tmp_vreg;
}
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out),
i_micro_kernel_config->vector_name,
reg_X, ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 0, 1 );
}
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
/* determining how many prefetches we need in M direction as we just need one prefetch per cache line */
unsigned int l_m_advance = 64 / ((i_micro_kernel_config->vector_length) * (i_micro_kernel_config->datatype_size_out)); /* 64: hardcoded cache line length */
for (l_m = 0; l_m < l_m_blocking; l_m += l_m_advance ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_b_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size_out));
}
}
}
}
if ((i_micro_kernel_config->fused_relu_nobitmask == 1) || (i_micro_kernel_config->fused_relu == 1)) {
libxsmm_generator_gemm_cleanup_relu_fusion( io_generated_code, i_micro_kernel_config->fused_relu, relu_bitmask_gpr, aux_gpr );
} else if (i_micro_kernel_config->fused_sigmoid == 1) {
libxsmm_generator_gemm_cleanup_sigmoid_fusion( io_generated_code, scratch_gpr, aux_gpr );
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_initialize_avx512_mask( libxsmm_generated_code* io_generated_code,
const unsigned int i_gp_reg_tmp,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_mask_count ) {
unsigned int l_mask;
/* init full mask */
if( ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype)) &&
((io_generated_code->arch == LIBXSMM_X86_AVX512_VL256 )|| (io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CPX )||
(io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CLX )) ){
l_mask = 0xf;
} else if ( ( LIBXSMM_DATATYPE_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) ||
((io_generated_code->arch == LIBXSMM_X86_AVX512_VL256 )|| (io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CPX )||
(io_generated_code->arch == LIBXSMM_X86_AVX512_VL256_CLX )) ){
l_mask = 0xff;
} else {
l_mask = 0xffff;
}
/* shift right by "inverse" remainder */
l_mask = l_mask >> i_mask_count;
/* move mask to GP register */
libxsmm_x86_instruction_alu_imm( io_generated_code,
LIBXSMM_X86_INSTR_MOVQ,
i_gp_reg_tmp,
l_mask );
if ( ( io_generated_code->arch >= LIBXSMM_X86_AVX512_VL256 ) && ( io_generated_code->arch <= LIBXSMM_X86_ALLFEAT ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVW_GPR_LD,
i_gp_reg_tmp,
LIBXSMM_X86_AVX512_MASK );
if ( ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && ( LIBXSMM_DATATYPE_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVD_GPR_LD,
i_gp_reg_tmp,
2 );
} else if ( ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && ( LIBXSMM_DATATYPE_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVQ_GPR_LD,
i_gp_reg_tmp,
2 );
} else {
/* no addtional mask is needed */
}
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_ARCH );
return;
}
}
|
mult_add_MEX.c | #include "mex.h"
#include <math.h>
#include "matrix.h"
#include <string.h>
#include "fast_mxArray_setup.c"
#ifdef __GNU__
#include <omp.h>
#endif
#ifndef MAXCORES
#define MAXCORES 1
#endif
void mexFunction(int nlhs, mxArray *left[], int nrhs, const mxArray *right[]) {
/* Declare variables */
mwSize nD, elem, cmplxX, cmplxY, *size2;
long long i;
const mwSize *size;
mxComplexity cmplx;
mxClassID precision1, precision3;
mxArray *a, *X, *b, *Y, *Z;
double *pa, *pXr, *pXi, *pb, *pYr, *pYi, *pZr, *pZi, Ad=0.0, Bd=0.0;
float *paf, *pXrf, *pXif, *pbf, *pYrf, *pYif, *pZrf, *pZif, Af=0.0, Bf=0.0;
/* Get number of elements */
elem = mxGetNumberOfElements(right[1]);
nD = mxGetNumberOfDimensions(right[1]);
size = mxGetDimensions(right[1]);
/* Perform strange memory copy to replicate the size (needed for create_array_d/f) */
size2 = (mwSize *)mxMalloc(nD*sizeof(mwSize));
memcpy(size2,size,nD*sizeof(mwSize));
/* Test for complex arrays and obtain data class of input arrays */
cmplxX = mxIsComplex(right[1]);
cmplxY = mxIsComplex(right[3]);
precision1 = mxGetClassID(right[1]);
precision3 = mxGetClassID(right[3]);
cmplx = cmplxX ? mxCOMPLEX:mxREAL;
/* Throw error if precision or complex mismatch */
if (precision1 != precision3)
mexErrMsgTxt("mult_add_MEX: Input data type mismatch");
if (cmplxX != cmplxY)
mexErrMsgTxt("Inputs 1 and 3 have different complexity");
if (mxIsComplex(right[0]) | mxIsComplex(right[2]))
mexErrMsgTxt("Input 0 and/or 2 is complex");
/* Create output array and pointers */
if (precision1 == mxDOUBLE_CLASS)
create_array_d(&(left[0]), &pZr, &pZi, nD, size2, cmplx, 0);
else
create_array_f(&(left[0]), &pZrf, &pZif, nD, size2, cmplx, 0);
/* Get pointers to input arrays */
if (precision1 == mxDOUBLE_CLASS) {
pXr = mxGetData(right[1]);
pYr = mxGetData(right[3]);
if (cmplxX) {
pXi = mxGetImagData(right[1]);
pYi = mxGetImagData(right[3]);
}
}
else {
pXrf = mxGetData(right[1]);
pYrf = mxGetData(right[3]);
if (cmplxX) {
pXif = mxGetImagData(right[1]);
pYif = mxGetImagData(right[3]);
}
}
/* Get pointers to input constants */
if (mxGetClassID(right[0]) == mxDOUBLE_CLASS)
pa = mxGetData(right[0]);
else
paf = mxGetData(right[0]);
if (mxGetClassID(right[2]) == mxDOUBLE_CLASS)
pb = mxGetData(right[2]);
else
pbf = mxGetData(right[2]);
/* Convert first scale factor to correct data type */
if (precision1 == mxDOUBLE_CLASS) {
/*mexPrintf("Converting A to double\n");*/
if (mxGetClassID(right[0]) == mxDOUBLE_CLASS)
Ad = pa[0];
else
Ad = (double) paf[0];
}
else {
/*mexPrintf("Converting A to float\n");*/
if (mxGetClassID(right[0]) == mxDOUBLE_CLASS)
Af = (float) pa[0];
else
Af = paf[0];
}
/* Convert second scale factor to correct data type */
if (precision1 == mxDOUBLE_CLASS) {
/*mexPrintf("Converting B to double\n");*/
if (mxGetClassID(right[2]) == mxDOUBLE_CLASS)
Bd = pb[0];
else
Bd = (double) pbf[0];
}
else {
/*mexPrintf("Converting B to float\n");*/
if (mxGetClassID(right[2]) == mxDOUBLE_CLASS)
Bf = (float) pb[0];
else
Bf = pbf[0];
}
/*mexPrintf("Ad: %f\t Bd: %f\n",Ad,Bd);
mexPrintf("Af: %f\t Bf: %f\n",(double) Af,(double) Bf);*/
#ifdef __GNU__
/* Set number of threads */
omp_set_num_threads(MAXCORES);
#endif
/* Loop through and compute the product */
if (precision1 == mxDOUBLE_CLASS) {
if (Ad == 1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZr[i] = pXr[i] + Bd*pYr[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = pXi[i] + Bd*pYi[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = pXi[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Bd*pYi[i];
}
}
else if (Bd == 1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZr[i] = Ad*pXr[i] + pYr[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Ad*pXi[i] + pYi[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Ad*pXi[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = pYi[i];
}
}
else if (Ad == -1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZr[i] = Bd*pYr[i] - pXr[i] ;
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Bd*pYi[i] - pXi[i] ;
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = -pXi[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Bd*pYi[i];
}
}
else if (Bd == -1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZr[i] = Ad*pXr[i] - pYr[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Ad*pXi[i] - pYi[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Ad*pXi[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = -pYi[i];
}
}
else {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZr[i] = Ad*pXr[i] + Bd*pYr[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Ad*pXi[i] + Bd*pYi[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Ad*pXi[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZi[i] = Bd*pYi[i];
}
}
}
else {
if (Af == 1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZrf[i] = pXrf[i] + Bf*pYrf[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = pXif[i] + Bf*pYif[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = pXif[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Bf*pYif[i];
}
}
else if (Bf == 1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZrf[i] = Af*pXrf[i] + pYrf[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Af*pXif[i] + pYif[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Af*pXif[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = pYif[i];
}
}
else if (Af == -1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZrf[i] = Bf*pYrf[i] - pXrf[i] ;
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Bf*pYif[i] - pXif[i] ;
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = -pXif[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Bf*pYif[i];
}
}
else if (Bf == -1) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZrf[i] = Af*pXrf[i] - pYrf[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Af*pXif[i] - pYif[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Af*pXif[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = -pYif[i];
}
}
else {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZrf[i] = Af*pXrf[i] + Bf*pYrf[i];
if (cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Af*pXif[i] + Bf*pYif[i];
}
else if (cmplxX && !cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Af*pXif[i];
}
else if (!cmplxX && cmplxY) {
#pragma omp parallel for private(i)
for (i=0; i<elem; i++)
pZif[i] = Bf*pYif[i];
}
}
}
/* Free memory */
mxFree(size2);
}
|
transposition_network_unbounded_alphabet.h | ////
//// Created by nikita on 19.08.2020.
////
//
//#ifndef CPU_TRANSPOSITION_NETWORK_UNBOUNDED_ALPHABET_H
//#define CPU_TRANSPOSITION_NETWORK_UNBOUNDED_ALPHABET_H
//
//#include <vector>
//#include <cmath>
//
///**
// * @tparam Input
// * @tparam StrandHolder
// * @param a
// * @param b
// * @return
// */
//template<class Input, class StrandHolder>
//int prefix_lcs_via_braid_mpi_bitwise_operator(std::vector<Input> const &a, std::vector<Input> const &b,
// int threads_num = 1) {
//
// if (a.size() > b.size()) return prefix_lcs_via_braid_mpi_bitwise_operator<Input, StrandHolder>(b, a, threads_num);
//
// auto m = a.size();
// auto n = b.size();
//
// auto dis_braid = 0;
// auto size = m + n;
//
// StrandHolder *strand_map = new StrandHolder[size];
// auto num_diag = a.size() + b.size() - 1;
// auto total_same_length_diag = num_diag - (m - 1) - (m - 1);
//
//#pragma omp parallel num_threads(threads_num) default(none) shared(a, b, strand_map, total_same_length_diag, size, m, n, dis_braid)
// {
// int left_edge, top_edge;
// // init phase
//#pragma omp for simd schedule(static)
// for (int k = 0; k < m; ++k) {
// strand_map[k] = StrandHolder(true);
// }
//
//#pragma omp for simd schedule(static)
// for (int l = 0; l < n; ++l) {
// strand_map[l + m] = StrandHolder(false);
// }
//
// // phase one
// for (int cur_diag_len = 0; cur_diag_len < m - 1; ++cur_diag_len) {
// left_edge = m - 1 - cur_diag_len;
// top_edge = m;
//#pragma omp for simd schedule(static)
// for (int j = 0; j < cur_diag_len + 1; ++j) {
// StrandHolder left_strand = strand_map[left_edge + j];
// StrandHolder right_strand = strand_map[top_edge + j];
// if ((a[cur_diag_len - j] == b[j]) || ((!left_strand) & right_strand))
// std::swap(strand_map[top_edge + j], strand_map[left_edge + j]);
// }
// }
//
//
// for (int j = 0; j < total_same_length_diag; ++j) {
// top_edge = m + j;
// auto i = m - 1;
//#pragma omp for simd schedule(static)
// for (int k = 0; k < m; ++k) {
// StrandHolder left_strand = strand_map[k];
// StrandHolder right_strand = strand_map[top_edge + k];
// if ((a[i - k] == b[j + k]) || ((!left_strand) & right_strand))
// std::swap(strand_map[top_edge + k], strand_map[k]);
// }
// }
//
////// phase 3
// auto start_j = total_same_length_diag;
// for (int diag_len = m - 2; diag_len >= 0; --diag_len, start_j++) {
// top_edge = start_j + m;
// auto i = m - 1;
// auto j = start_j;
//#pragma omp for simd schedule(static)
// for (int k = 0; k < diag_len + 1; ++k) {
// StrandHolder left_strand = strand_map[k];
// StrandHolder right_strand = strand_map[top_edge + k];
// if ((a[i - k] == b[j + k]) || ((!left_strand) & right_strand))
// std::swap(strand_map[top_edge + k], strand_map[k]);
// }
// }
//
//#pragma omp for simd reduction(+:dis_braid) schedule(static)
// for (int i1 = 0; i1 < m; ++i1) {
// dis_braid += strand_map[i1];
// }
// }
// delete[] strand_map;
//
// return m - dis_braid;
//}
//
//template<class Input, class StrandHolder>
//int
//prefix_lcs_via_braid_mpi_less_operator(std::vector<Input> const &a, std::vector<Input> const &b, int threads_num = 1) {
//
// if (a.size() > b.size()) return prefix_lcs_via_braid_mpi_less_operator<Input, StrandHolder>(b, a, threads_num);
//
// auto m = a.size();
// auto n = b.size();
//
// auto dis_braid = 0;
// auto size = m + n;
//
// StrandHolder *strand_map = new StrandHolder[size];
// auto num_diag = a.size() + b.size() - 1;
// auto total_same_length_diag = num_diag - (m - 1) - (m - 1);
//
//#pragma omp parallel num_threads(threads_num) default(none) shared(a, b, strand_map, total_same_length_diag, size, m, n, dis_braid)
// {
// int left_edge, top_edge;
// // init phase
//#pragma omp for simd schedule(static)
// for (int k = 0; k < m; ++k) {
// strand_map[k] = StrandHolder(true);
// }
//
//#pragma omp for simd schedule(static)
// for (int l = 0; l < n; ++l) {
// strand_map[l + m] = StrandHolder(false);
// }
//
// // phase one
// for (int cur_diag_len = 0; cur_diag_len < m - 1; ++cur_diag_len) {
// left_edge = m - 1 - cur_diag_len;
// top_edge = m;
//#pragma omp for simd schedule(static)
// for (int j = 0; j < cur_diag_len + 1; ++j) {
// StrandHolder left_strand = strand_map[left_edge + j];
// StrandHolder right_strand = strand_map[top_edge + j];
// if ((a[cur_diag_len - j] == b[j]) || (left_strand < right_strand))
// std::swap(strand_map[top_edge + j], strand_map[left_edge + j]);
// }
// }
//
//
// for (int j = 0; j < total_same_length_diag; ++j) {
// top_edge = m + j;
// auto i = m - 1;
//#pragma omp for simd schedule(static)
// for (int k = 0; k < m; ++k) {
// StrandHolder left_strand = strand_map[k];
// StrandHolder right_strand = strand_map[top_edge + k];
// if ((a[i - k] == b[j + k]) || (left_strand < right_strand))
// std::swap(strand_map[top_edge + k], strand_map[k]);
// }
// }
//
////// phase 3
// auto start_j = total_same_length_diag;
// for (int diag_len = m - 2; diag_len >= 0; --diag_len, start_j++) {
// top_edge = start_j + m;
// auto i = m - 1;
// auto j = start_j;
//#pragma omp for simd schedule(static)
// for (int k = 0; k < diag_len + 1; ++k) {
// StrandHolder left_strand = strand_map[k];
// StrandHolder right_strand = strand_map[top_edge + k];
// if ((a[i - k] == b[j + k]) || (left_strand < right_strand))
// std::swap(strand_map[top_edge + k], strand_map[k]);
// }
// }
//
//#pragma omp for simd reduction(+:dis_braid) schedule(static)
// for (int i1 = 0; i1 < m; ++i1) {
// dis_braid += strand_map[i1];
// }
// }
// delete[] strand_map;
//
// return m - dis_braid;
//}
//
//
//template<class Input, class StrandHolder>
//int prefix_lcs_via_braid_less_operator(std::vector<Input> const &a, std::vector<Input> const &b) {
//
// if (a.size() > b.size()) return prefix_lcs_via_braid_mpi_less_operator<Input, StrandHolder>(b, a);
//
// auto m = a.size();
// auto n = b.size();
//
// auto dis_braid = 0;
// auto size = m + n;
//
// StrandHolder *strand_map = new StrandHolder[size];
// auto num_diag = a.size() + b.size() - 1;
// auto total_same_length_diag = num_diag - (m - 1) - (m - 1);
//
// int left_edge, top_edge;
// // init phase
// for (int k = 0; k < m; ++k) {
// strand_map[k] = StrandHolder(true);
// }
//
// for (int l = 0; l < n; ++l) {
// strand_map[l + m] = StrandHolder(false);
// }
//
// // phase one
// for (int cur_diag_len = 0; cur_diag_len < m - 1; ++cur_diag_len) {
// left_edge = m - 1 - cur_diag_len;
// top_edge = m;
// for (int j = 0; j < cur_diag_len + 1; ++j) {
// StrandHolder left_strand = strand_map[left_edge + j];
// StrandHolder right_strand = strand_map[top_edge + j];
// if ((a[cur_diag_len - j] == b[j]) || (left_strand < right_strand))
// std::swap(strand_map[top_edge + j], strand_map[left_edge + j]);
// }
// }
//
//
// for (int j = 0; j < total_same_length_diag; ++j) {
// top_edge = m + j;
// auto i = m - 1;
// for (int k = 0; k < m; ++k) {
// StrandHolder left_strand = strand_map[k];
// StrandHolder right_strand = strand_map[top_edge + k];
// if ((a[i - k] == b[j + k]) || (left_strand < right_strand))
// std::swap(strand_map[top_edge + k], strand_map[k]);
// }
// }
//
////// phase 3
// auto start_j = total_same_length_diag;
// for (int diag_len = m - 2; diag_len >= 0; --diag_len, start_j++) {
// top_edge = start_j + m;
// auto i = m - 1;
// auto j = start_j;
// for (int k = 0; k < diag_len + 1; ++k) {
// StrandHolder left_strand = strand_map[k];
// StrandHolder right_strand = strand_map[top_edge + k];
// if ((a[i - k] == b[j + k]) || (left_strand < right_strand))
// std::swap(strand_map[top_edge + k], strand_map[k]);
// }
// }
//
// for (int i1 = 0; i1 < m; ++i1) {
// dis_braid += strand_map[i1];
// }
//
// delete[] strand_map;
// return m - dis_braid;
//}
//
//
//template<class Input, class StrandHolder>
//int prefix_lcs_via_braid_sequential(std::vector<Input> const &a, std::vector<Input> const &b) {
//
// auto m = a.size();
// auto n = b.size();
//
// auto dis_braid = 0;
// auto size = m + n;
// auto strand_map = new StrandHolder[size];
//
// for (int k = 0; k < m; ++k) {
// strand_map[k] = StrandHolder(true);
// }
//
// for (int l = m; l < m + n; ++l) {
// strand_map[l] = StrandHolder(false);
// }
//
//
// for (int i = 0; i < m; ++i) {
// for (int j = 0, top_edge = m; j < n; ++j, top_edge++) {
// StrandHolder left_strand = strand_map[i];
// StrandHolder right_strand = strand_map[top_edge];
// if ((a[i] == b[j]) || (!left_strand && right_strand)) std::swap(strand_map[top_edge], strand_map[i]);
// }
// }
//
// for (int i1 = 0; i1 < m; ++i1) {
// dis_braid += strand_map[i1];
// }
//
//
// return m - dis_braid;
//}
//
//
//#endif //CPU_TRANSPOSITION_NETWORK_UNBOUNDED_ALPHABET_H
//
//
//
//
|
serial_teams.c | // RUN: %libomp-compile-and-run | %sort-threads | FileCheck %s
// REQUIRES: ompt
// UNSUPPORTED: gcc, icc-19
#include "callback.h"
int main() {
#pragma omp target teams num_teams(2) thread_limit(1)
#pragma omp parallel num_threads(1)
{ printf("In teams parallel\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:[0-9]+]]: ompt_event_initial_task_begin:
// CHECK-SAME: task_id=[[INIT_TASK:[0-9]+]], {{.*}}, index=1
// CHECK: {{^}}[[MASTER_0]]: ompt_event_teams_begin:
// CHECK-SAME: parent_task_id=[[INIT_TASK]]
// CHECK-SAME: {{.*}} requested_num_teams=2
// CHECK-SAME: {{.*}} invoker=[[TEAMS_FLAGS:[0-9]+]]
//
// team 0
//
// initial task in the teams construct
// CHECK: {{^}}[[MASTER_0]]: ompt_event_initial_task_begin:
// CHECK-SAME: task_id=[[INIT_TASK_0:[0-9]+]], actual_parallelism=2, index=0
// parallel region forked by runtime
// CHECK: {{^}}[[MASTER_0]]: ompt_event_parallel_begin:
// CHECK-SAME: {{.*}} parent_task_id=[[INIT_TASK_0]]
// CHECK-SAME: {{.*}} parallel_id=[[PAR_0:[0-9]+]]
// CHECK: {{^}}[[MASTER_0]]: ompt_event_implicit_task_begin:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_0]], task_id=[[IMPL_TASK_0:[0-9]+]]
// user parallel region
// CHECK: {{^}}[[MASTER_0]]: ompt_event_parallel_begin:
// CHECK-SAME: {{.*}} parent_task_id=[[IMPL_TASK_0]]
// CHECK-SAME: {{.*}} parallel_id=[[PAR_00:[0-9]+]]
// CHECK: {{^}}[[MASTER_0]]: ompt_event_parallel_end:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_00]], task_id=[[IMPL_TASK_0]]
// CHECK: {{^}}[[MASTER_0]]: ompt_event_implicit_task_end:
// CHECK-SAME: {{.*}} parallel_id={{[0-9]+}}, task_id=[[IMPL_TASK_0]]
// CHECK: {{^}}[[MASTER_0]]: ompt_event_parallel_end:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_0]], task_id=[[INIT_TASK_0]]
// CHECK: {{^}}[[MASTER_0]]: ompt_event_initial_task_end:
// CHECK-SAME: task_id=[[INIT_TASK_0]], actual_parallelism=0, index=0
// CHECK: {{^}}[[MASTER_0]]: ompt_event_teams_end:
// CHECK-SAME: {{.*}} task_id=[[INIT_TASK]], invoker=[[TEAMS_FLAGS]]
// CHECK: {{^}}[[MASTER_0]]: ompt_event_initial_task_end:
// CHECK-SAME: task_id=[[INIT_TASK]], {{.*}}, index=1
//
// team 1
//
// initial task in the teams construct
// CHECK: {{^}}[[MASTER_1:[0-9]+]]: ompt_event_initial_task_begin:
// CHECK-SAME: task_id=[[INIT_TASK_1:[0-9]+]], actual_parallelism=2, index=1
// parallel region forked by runtime
// CHECK: {{^}}[[MASTER_1]]: ompt_event_parallel_begin:
// CHECK-SAME: {{.*}} parent_task_id=[[INIT_TASK_1]]
// CHECK-SAME: {{.*}} parallel_id=[[PAR_ID_1:[0-9]+]]
// CHECK: {{^}}[[MASTER_1]]: ompt_event_implicit_task_begin:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_ID_1]], task_id=[[IMPL_TASK_1:[0-9]+]]
// user parallel region
// CHECK: {{^}}[[MASTER_1]]: ompt_event_parallel_begin:
// CHECK-SAME: {{.*}} parent_task_id=[[IMPL_TASK_1]]
// CHECK-SAME: {{.*}} parallel_id=[[PAR_ID_11:[0-9]+]]
// CHECK: {{^}}[[MASTER_1]]: ompt_event_parallel_end:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_ID_11]], task_id=[[IMPL_TASK_1]]
// CHECK: {{^}}[[MASTER_1]]: ompt_event_implicit_task_end:
// CHECK-SAME: {{.*}} parallel_id={{[0-9]+}}, task_id=[[IMPL_TASK_1]]
// CHECK: {{^}}[[MASTER_1]]: ompt_event_parallel_end:
// CHECK-SAME: {{.*}} parallel_id=[[PAR_ID_1]], task_id=[[INIT_TASK_1]]
// CHECK: {{^}}[[MASTER_1]]: ompt_event_initial_task_end:
// CHECK-SAME: task_id=[[INIT_TASK_1]], actual_parallelism=0, index=1
|
FLASH_Queue_exec.c | /*
Copyright (C) 2014, The University of Texas at Austin
This file is part of libflame and is available under the 3-Clause
BSD license, which can be found in the LICENSE file at the top-level
directory, or at http://opensource.org/licenses/BSD-3-Clause
*/
#include "FLAME.h"
#if FLA_MULTITHREADING_MODEL == FLA_OPENMP
#ifdef FLA_ENABLE_TIDSP
#include <ti/omp/omp.h>
#else
#include <omp.h>
#endif
#elif FLA_MULTITHREADING_MODEL == FLA_PTHREADS
#include <pthread.h>
#endif
#ifdef FLA_ENABLE_WINDOWS_BUILD
#define _CRT_RAND_S
#include <stdlib.h>
#endif
#ifdef FLA_ENABLE_SUPERMATRIX
#ifndef FLA_ENABLE_SCC
#define MIN_CACHE_BLOCKS 3
#ifdef FLA_ENABLE_GPU
typedef struct FLA_Obj_gpu_struct
{
// Block stored in a GPU.
FLA_Obj obj;
// Pointer to the data stored on the GPU.
void* buffer_gpu;
// Whether the block is clean or dirty on the GPU.
FLA_Bool clean;
// Whether the block has been requested by another GPU.
FLA_Bool request;
} FLA_Obj_gpu;
#endif
typedef struct FLASH_Queue_variables
{
// A lock on the global task counter.
// Needed only when multithreading is enabled.
FLA_Lock all_lock;
// A lock that protects the thread's waiting queue.
// Needed only when multithreading is enabled.
FLA_Lock* run_lock;
// A lock that allows threads to safely check for and place ready dependent
// tasks on waiting queue. Needed only when multithreading is enabled.
FLA_Lock* dep_lock;
// A lock that allows threads to safely free the anti-dependency queue
// within each block. Needed only when multithreading is enabled.
FLA_Lock* war_lock;
// A lock that allows threads to safely access the cache structures.
// Needed only when multithreading is enabled.
FLA_Lock* cac_lock;
// Number of queues.
integer n_queues;
// Number of caches.
integer n_caches;
// The number of blocks that can be stored in the cache on each thread.
integer size;
// LRU cache simulation of blocks.
FLA_Obj* cache;
// List of blocks accessed by the first tasks.
FLA_Obj* prefetch;
// The waiting queue of tasks for each thread.
FLASH_Queue* wait_queue;
// A global task counter that keeps track of how many tasks on the waiting
// queue have been processed.
integer pc;
#ifdef FLA_ENABLE_GPU
// A lock that allows threads to safely access the cache structures.
// Needed only when multithreading is enabled.
FLA_Lock* gpu_lock;
// LRU software cache of GPU memory.
FLA_Obj_gpu* gpu;
// Storing the block being evicted.
FLA_Obj_gpu* victim;
// Temporary storage for logging blocks on GPU.
FLA_Obj_gpu* gpu_log;
// The size of each block to allocate on GPU.
dim_t block_size;
// The datatype of each block to allocate on GPU.
FLA_Datatype datatype;
#endif
} FLASH_Queue_vars;
void FLASH_Queue_exec( void )
/*----------------------------------------------------------------------------
FLASH_Queue_exec
----------------------------------------------------------------------------*/
{
integer n_tasks = FLASH_Queue_get_num_tasks();
integer n_threads = FLASH_Queue_get_num_threads();
integer n_queues;
integer n_caches;
integer size;
integer i;
dim_t block_size = FLASH_Queue_get_block_size();
double dtime;
FLA_Lock* run_lock;
FLA_Lock* dep_lock;
FLA_Lock* war_lock;
FLA_Lock* cac_lock;
FLA_Obj* cache;
FLA_Obj* prefetch;
FLASH_Queue* wait_queue;
#ifdef FLA_ENABLE_GPU
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock* gpu_lock;
#endif
FLA_Obj_gpu* gpu;
FLA_Obj_gpu* victim;
FLA_Obj_gpu* gpu_log;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
#endif
// All the necessary variables for the SuperMatrix mechanism.
FLASH_Queue_vars args;
// If the queue is empty, return early.
if ( n_tasks == 0 )
return;
#ifndef FLA_ENABLE_MULTITHREADING
// Turn off work stealing in simulation mode.
FLASH_Queue_set_work_stealing( FALSE );
#endif
// Query the number of user set threads per queue.
n_queues = FLASH_Queue_get_cores_per_queue();
// Default user setting for number of threads.
if ( n_queues <= 0 )
{
// Do not use data affinity or work stealing when caching is enabled.
if ( FLASH_Queue_get_caching() )
{
FLASH_Queue_set_data_affinity( FLASH_QUEUE_AFFINITY_NONE );
FLASH_Queue_set_work_stealing( FALSE );
}
// Do not use work stealing when data affinity is enabled.
if ( FLASH_Queue_get_data_affinity() != FLASH_QUEUE_AFFINITY_NONE )
{
FLASH_Queue_set_work_stealing( FALSE );
}
// Allocate different arrays if using data affinity.
n_queues = ( FLASH_Queue_get_data_affinity() ==
FLASH_QUEUE_AFFINITY_NONE &&
!FLASH_Queue_get_work_stealing() ? 1 : n_threads );
}
else
{
// Set the number of queues.
n_queues = n_threads / n_queues;
// Must use at least one queue.
if ( n_queues == 0 )
n_queues = 1;
if ( n_queues == 1 )
{
// Turn off all multiple queue implementations.
FLASH_Queue_set_data_affinity( FLASH_QUEUE_AFFINITY_NONE );
FLASH_Queue_set_work_stealing( FALSE );
}
else
{
// Use 2D data affinity for multiple queues if nothing is set.
if ( FLASH_Queue_get_data_affinity() == FLASH_QUEUE_AFFINITY_NONE &&
!FLASH_Queue_get_work_stealing() )
{
FLASH_Queue_set_data_affinity( FLASH_QUEUE_AFFINITY_2D_BLOCK_CYCLIC );
}
}
}
// Determine the number of caches.
n_caches = n_threads / FLASH_Queue_get_cores_per_cache();
args.n_queues = n_queues;
args.n_caches = n_caches;
#ifdef FLA_ENABLE_MULTITHREADING
// Allocate memory for array of locks.
run_lock = ( FLA_Lock* ) FLA_malloc( n_queues * sizeof( FLA_Lock ) );
dep_lock = ( FLA_Lock* ) FLA_malloc( n_threads * sizeof( FLA_Lock ) );
war_lock = ( FLA_Lock* ) FLA_malloc( n_threads * sizeof( FLA_Lock ) );
cac_lock = ( FLA_Lock* ) FLA_malloc( n_caches * sizeof( FLA_Lock ) );
args.run_lock = run_lock;
args.dep_lock = dep_lock;
args.war_lock = war_lock;
args.cac_lock = cac_lock;
// Initialize the all lock.
FLA_Lock_init( &(args.all_lock) );
// Initialize the run lock for thread i.
for ( i = 0; i < n_queues; i++ )
{
FLA_Lock_init( &(args.run_lock[i]) );
}
// Initialize the dep and war locks for thread i.
for ( i = 0; i < n_threads; i++ )
{
FLA_Lock_init( &(args.dep_lock[i]) );
FLA_Lock_init( &(args.war_lock[i]) );
}
// Initialize the cac locks for each cache.
for ( i = 0; i < n_caches; i++ )
{
FLA_Lock_init( &(args.cac_lock[i]) );
}
#endif
// The number of blocks that can fit into the cache on each thread.
if ( block_size == 0 )
size = MIN_CACHE_BLOCKS;
else
size = max( FLASH_Queue_get_cache_size() / block_size, MIN_CACHE_BLOCKS);
args.size = size;
// Allocate memory for cache, prefetch buffer, and waiting queue.
cache = ( FLA_Obj* ) FLA_malloc( size * n_caches * sizeof( FLA_Obj ) );
prefetch = ( FLA_Obj* ) FLA_malloc( size * sizeof( FLA_Obj ) );
wait_queue = ( FLASH_Queue* ) FLA_malloc( n_queues * sizeof( FLASH_Queue ));
args.cache = cache;
args.prefetch = prefetch;
args.wait_queue = wait_queue;
// Initialize cache, prefetch buffer, and waiting queue.
for ( i = 0; i < size * n_caches; i++ )
args.cache[i].base = NULL;
for ( i = 0; i < size; i++ )
args.prefetch[i].base = NULL;
for ( i = 0; i < n_queues; i++ )
{
args.wait_queue[i].n_tasks = 0;
args.wait_queue[i].head = NULL;
args.wait_queue[i].tail = NULL;
}
// Initialize the aggregate task counter.
args.pc = 0;
#ifdef FLA_ENABLE_GPU
#ifdef FLA_ENABLE_MULTITHREADING
// Allocate and initialize the gpu locks.
gpu_lock = ( FLA_Lock* ) FLA_malloc( n_threads * sizeof( FLA_Lock ) );
args.gpu_lock = gpu_lock;
for ( i = 0; i < n_threads; i++ )
FLA_Lock_init( &(args.gpu_lock[i]) );
#endif
// Allocate and initialize GPU software cache.
gpu = ( FLA_Obj_gpu* ) FLA_malloc( gpu_n_blocks * n_threads * sizeof( FLA_Obj_gpu ) );
args.gpu = gpu;
for ( i = 0; i < gpu_n_blocks * n_threads; i++ )
{
args.gpu[i].obj.base = NULL;
args.gpu[i].buffer_gpu = NULL;
args.gpu[i].clean = TRUE;
args.gpu[i].request = FALSE;
}
victim = ( FLA_Obj_gpu* ) FLA_malloc( n_threads * sizeof( FLA_Obj_gpu ) );
args.victim = victim;
for ( i = 0; i < n_threads; i++ )
args.victim[i].obj.base = NULL;
gpu_log = ( FLA_Obj_gpu* ) FLA_malloc( gpu_n_blocks * n_threads * sizeof( FLA_Obj_gpu ) );
args.gpu_log = gpu_log;
#endif
// Initialize tasks with critical information.
FLASH_Queue_init_tasks( ( void* ) &args );
// Display verbose output before free all tasks.
if ( FLASH_Queue_get_verbose_output() )
FLASH_Queue_verbose_output();
// Start timing the parallel execution.
dtime = FLA_Clock();
#ifdef FLA_ENABLE_MULTITHREADING
// Parallel Execution!
FLASH_Queue_exec_parallel( ( void* ) &args );
#else
// Simulation!
FLASH_Queue_exec_simulation( ( void* ) &args );
#endif
// End timing the parallel execution.
dtime = FLA_Clock() - dtime;
FLASH_Queue_set_parallel_time( dtime );
#ifdef FLA_ENABLE_MULTITHREADING
// Destroy the locks.
FLA_Lock_destroy( &(args.all_lock) );
for ( i = 0; i < n_queues; i++ )
{
FLA_Lock_destroy( &(args.run_lock[i]) );
}
for ( i = 0; i < n_threads; i++ )
{
FLA_Lock_destroy( &(args.dep_lock[i]) );
FLA_Lock_destroy( &(args.war_lock[i]) );
}
for ( i = 0; i < n_caches; i++ )
{
FLA_Lock_destroy( &(args.cac_lock[i]) );
}
// Deallocate memory.
FLA_free( run_lock );
FLA_free( dep_lock );
FLA_free( war_lock );
FLA_free( cac_lock );
#endif
FLA_free( cache );
FLA_free( prefetch );
FLA_free( wait_queue );
#ifdef FLA_ENABLE_GPU
#ifdef FLA_ENABLE_MULTITHREADING
for ( i = 0; i < n_threads; i++ )
FLA_Lock_destroy( &(args.gpu_lock[i]) );
FLA_free( gpu_lock );
#endif
FLA_free( gpu );
FLA_free( victim );
FLA_free( gpu_log );
#endif
// Reset values for next call to FLASH_Queue_exec().
FLASH_Queue_reset();
return;
}
void FLASH_Queue_init_tasks( void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_init_tasks
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, j, k;
integer n_tasks = FLASH_Queue_get_num_tasks();
integer n_queues = args->n_queues;
integer n_prefetch = 0;
integer n_ready = 0;
integer length = 0;
integer width = 0;
integer height = 0;
integer size = args->size;
FLASH_Data_aff data_aff = FLASH_Queue_get_data_affinity();
FLASH_Task* t;
FLASH_Dep* d;
FLA_Obj obj;
#ifdef FLA_ENABLE_GPU
dim_t block_size = 0;
FLA_Datatype datatype = FLA_FLOAT;
dim_t datatype_size = FLA_Obj_datatype_size( datatype );
#endif
// Find the 2D factorization of the number of threads.
if ( data_aff == FLASH_QUEUE_AFFINITY_2D_BLOCK_CYCLIC )
{
integer sq_rt = 0;
while ( sq_rt * sq_rt <= n_queues ) sq_rt++;
sq_rt--;
while ( n_queues % sq_rt != 0 ) sq_rt--;
length = n_queues / sq_rt;
width = sq_rt;
}
// Grab the tail of the task queue.
t = FLASH_Queue_get_tail_task();
for ( i = n_tasks - 1; i >= 0; i-- )
{
// Determine data affinity.
if ( data_aff == FLASH_QUEUE_AFFINITY_NONE )
{ // No data affinity
t->queue = 0;
}
else
{
// Use the first output block to determine data affinity.
obj = t->output_arg[0];
// Use the top left block of the macroblock.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
obj = *FLASH_OBJ_PTR_AT( obj );
if ( data_aff == FLASH_QUEUE_AFFINITY_2D_BLOCK_CYCLIC )
{ // Two-dimensional block cyclic
t->queue = ( obj.base->m_index % length ) +
( obj.base->n_index % width ) * length;
}
else if ( data_aff == FLASH_QUEUE_AFFINITY_1D_ROW_BLOCK_CYCLIC )
{ // One-dimensional row block cyclic
t->queue = obj.base->m_index % n_queues;
}
else if ( data_aff == FLASH_QUEUE_AFFINITY_1D_COLUMN_BLOCK_CYCLIC )
{ // One-dimensional column block cyclic
t->queue = obj.base->n_index % n_queues;
}
else
{ // Round-robin
t->queue = t->queue % n_queues;
}
}
// Determine the height of each task in the DAG.
height = 0;
d = t->dep_arg_head;
// Take the maximum height of dependent tasks.
for ( j = 0; j < t->n_dep_args; j++ )
{
height = max( height, d->task->height );
d = d->next_dep;
}
t->height = height + 1;
// Since freeing a task is always a leaf, we want to force it to execute
// earlier by giving it a greater height in order to reclaim memory.
if ( t->func == (void *) FLA_Obj_free_buffer_task )
t->height += n_tasks;
#ifdef FLA_ENABLE_GPU
for ( j = 0; j < t->n_output_args + t->n_input_args; j++ )
{
// Find the correct input or output argument.
if ( j < t->n_output_args )
obj = t->output_arg[j];
else
obj = t->input_arg[j - t->n_output_args];
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Check each block in macroblock.
for ( jj = 0; jj < n; jj++ )
{
for ( kk = 0; kk < m; kk++ )
{
obj = *( buf + jj * cs + kk );
block_size = max( FLA_Obj_length( obj ) * FLA_Obj_width( obj ), block_size );
if ( jj == 0 && FLA_Obj_datatype( obj ) != datatype && FLA_Obj_datatype_size( FLA_Obj_datatype( obj ) ) > datatype_size )
{
datatype = FLA_Obj_datatype( obj );
datatype_size = FLA_Obj_datatype_size( datatype );
}
}
}
}
else // Regular block.
{
block_size = max( FLA_Obj_length( obj ) * FLA_Obj_width( obj ), block_size );
if ( FLA_Obj_datatype( obj ) != datatype && FLA_Obj_datatype_size( FLA_Obj_datatype( obj ) ) > datatype_size )
{
datatype = FLA_Obj_datatype( obj );
datatype_size = FLA_Obj_datatype_size( datatype );
}
}
}
#endif
// Find the first blocks accessed each task.
if ( n_prefetch < size )
{
for ( j = 0; j < t->n_output_args; j++ )
{
obj = t->output_arg[j];
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Check each block in macroblock.
for ( jj = 0; jj < n; jj++ )
{
for ( kk = 0; kk < m; kk++ )
{
obj = *( buf + jj * cs + kk );
k = obj.base->n_write_blocks;
// This block is one of the first blocks to be accessed.
if ( k < size && k == n_prefetch )
{
args->prefetch[k] = obj;
n_prefetch++;
}
}
}
}
else // Regular block.
{
k = obj.base->n_write_blocks;
// This block is one of the first blocks to be accessed.
if ( k < size && k == n_prefetch )
{
args->prefetch[k] = obj;
n_prefetch++;
}
}
}
}
// Find all ready tasks.
t->n_ready += t->n_input_args + t->n_output_args +
t->n_macro_args + t->n_war_args;
if ( t->n_ready == 0 )
{
// Save the number of ready and available tasks.
n_ready++;
}
// Go to the previous task.
t = t->prev_task;
}
// Grab the head of the task queue.
t = FLASH_Queue_get_head_task();
for ( i = 0; i < n_tasks && n_ready > 0; i++ )
{
if ( t->n_ready == 0 )
{
// Enqueue all the ready and available tasks.
FLASH_Queue_wait_enqueue( t, arg );
// Decrement the number of ready tasks left to be enqueued.
n_ready--;
}
// Go to the next task.
t = t->next_task;
}
#ifdef FLA_ENABLE_GPU
args->block_size = block_size;
args->datatype = datatype;
#endif
return;
}
void FLASH_Queue_wait_enqueue( FLASH_Task* t, void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_wait_enqueue
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer queue = t->queue;
if ( args->wait_queue[queue].n_tasks == 0 )
{
args->wait_queue[queue].head = t;
args->wait_queue[queue].tail = t;
}
else
{
t->prev_wait = args->wait_queue[queue].tail;
// Insertion sort of tasks in waiting queue.
if ( FLASH_Queue_get_sorting() )
{
while ( t->prev_wait != NULL )
{
if ( t->prev_wait->height >= t->height )
break;
t->next_wait = t->prev_wait;
t->prev_wait = t->prev_wait->prev_wait;
}
}
// Checking if the task is the head of the waiting queue.
if ( t->prev_wait == NULL )
args->wait_queue[queue].head = t;
else
t->prev_wait->next_wait = t;
// Checking if the task is the tail of the waiting queue.
if ( t->next_wait == NULL )
args->wait_queue[queue].tail = t;
else
t->next_wait->prev_wait = t;
}
// Increment number of tasks on waiting queue.
args->wait_queue[queue].n_tasks++;
return;
}
FLASH_Task* FLASH_Queue_wait_dequeue( integer queue, integer cache, void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_wait_dequeue
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
FLASH_Task* t = NULL;
FLA_Bool enabled = FALSE;
#ifdef FLA_ENABLE_GPU
enabled = FLASH_Queue_get_enabled_gpu();
#endif
if ( args->wait_queue[queue].n_tasks > 0 )
{
// Dequeue the first task.
t = args->wait_queue[queue].head;
if ( args->wait_queue[queue].n_tasks == 1 )
{
// Clear the queue of its only task.
args->wait_queue[queue].head = NULL;
args->wait_queue[queue].tail = NULL;
}
else
{
// Grab a new task if using cache affinity.
if ( FLASH_Queue_get_caching() )
{
// Determine if using GPU or not.
if ( enabled )
{
#ifdef FLA_ENABLE_GPU
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[cache]) ); // G ***
#endif
// Find a task where the task has blocks currently in GPU.
t = FLASH_Queue_wait_dequeue_block( queue, cache, arg );
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[cache]) ); // G ***
#endif
#endif
}
else
{
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->cac_lock[cache]) ); // C ***
#endif
// Find a task where the task has blocks currently in cache.
t = FLASH_Queue_wait_dequeue_block( queue, cache, arg );
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->cac_lock[cache]) ); // C ***
#endif
}
// Adjust pointers if the task is head of waiting queue.
if ( t->prev_wait == NULL )
{
args->wait_queue[queue].head = t->next_wait;
args->wait_queue[queue].head->prev_wait = NULL;
}
else
{
t->prev_wait->next_wait = t->next_wait;
}
// Adjust pointers if the task is tail of waiting queue.
if ( t->next_wait == NULL )
{
args->wait_queue[queue].tail = t->prev_wait;
args->wait_queue[queue].tail->next_wait = NULL;
}
else
{
t->next_wait->prev_wait = t->prev_wait;
}
}
else
{
// Adjust pointers in waiting queue.
args->wait_queue[queue].head = t->next_wait;
args->wait_queue[queue].head->prev_wait = NULL;
}
}
// Clear the task's waiting linked list pointers.
t->prev_wait = NULL;
t->next_wait = NULL;
// Decrement number of tasks on waiting queue.
args->wait_queue[queue].n_tasks--;
}
return t;
}
FLASH_Task* FLASH_Queue_wait_dequeue_block( integer queue, integer cache, void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_wait_dequeue_block
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, j, k;
integer size = args->size;
integer n_tasks = args->wait_queue[queue].n_tasks;
FLA_Bool enabled = FALSE;
FLASH_Task* t;
FLA_Obj obj;
FLA_Obj mem;
#ifdef FLA_ENABLE_GPU
enabled = FLASH_Queue_get_enabled_gpu();
// If using GPUs, then only check GPU and not the cache.
if ( enabled )
size = FLASH_Queue_get_gpu_num_blocks();
#endif
t = args->wait_queue[queue].head;
// Check if any of the output blocks are in the cache.
for ( i = 0; i < n_tasks; i++ )
{
for ( j = 0; j < size; j++ )
{
// Initialize the memory just in case.
mem.base = NULL;
// Determine if using GPU or not.
if ( enabled )
{
#ifdef FLA_ENABLE_GPU
mem = args->gpu[cache * size + j].obj;
#endif
}
else
{
mem = args->cache[cache * size + j];
}
for ( k = 0; k < t->n_output_args; k++ )
{
obj = t->output_arg[k];
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
obj = *FLASH_OBJ_PTR_AT( obj );
// Return the task if its output block is in cache.
if ( mem.base == obj.base )
{
t->hit = TRUE;
return t;
}
}
}
t = t->next_wait;
}
return args->wait_queue[queue].head;
}
void FLASH_Queue_update_cache( FLASH_Task* t, void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_update_cache
----------------------------------------------------------------------------*/
{
integer i, j;
FLA_Bool duplicate;
FLA_Obj obj;
if ( t == NULL )
return;
// Updating the input blocks.
for ( i = t->n_input_args - 1; i >= 0; i-- )
{
// Check for duplicate blocks.
duplicate = FALSE;
for ( j = 0; j < t->n_output_args && !duplicate; j++ )
{
if ( t->input_arg[i].base == t->output_arg[j].base )
duplicate = TRUE;
}
for ( j = 0; j < i && !duplicate; j++ )
{
if ( t->input_arg[i].base == t->input_arg[j].base )
duplicate = TRUE;
}
// If the input block has not been processed before.
if ( !duplicate )
{
obj = t->input_arg[i];
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Dependence analysis for each input block in macroblock.
for ( jj = 0; jj < n; jj++ )
for ( kk = 0; kk < m; kk++ )
FLASH_Queue_update_cache_block( *( buf + jj * cs + kk ),
t->cache, FALSE, arg );
}
else // Regular block.
{
FLASH_Queue_update_cache_block( obj, t->cache, FALSE, arg );
}
}
}
// Updating the output blocks.
for ( i = t->n_output_args - 1; i >= 0; i-- )
{
// Check for duplicate blocks.
duplicate = FALSE;
for ( j = 0; j < i && !duplicate; j++ )
{
if ( t->output_arg[i].base == t->output_arg[j].base )
duplicate = TRUE;
}
// If the output block has not been processed before.
if ( !duplicate )
{
obj = t->output_arg[i];
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Dependence analysis for each input block in macroblock.
for ( jj = 0; jj < n; jj++ )
for ( kk = 0; kk < m; kk++ )
FLASH_Queue_update_cache_block( *( buf + jj * cs + kk ),
t->cache, TRUE, arg );
}
else // Regular block.
{
FLASH_Queue_update_cache_block( obj, t->cache, TRUE, arg );
}
}
}
return;
}
void FLASH_Queue_update_cache_block( FLA_Obj obj,
integer cache,
FLA_Bool output,
void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_update_cache_block
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, j, k;
integer n_caches = args->n_caches;
integer size = args->size;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->cac_lock[cache]) ); // C ***
#endif
// Locate the position of the block in the cache.
for ( k = 0; k < size - 1; k++ )
{
if ( obj.base == args->cache[cache * size + k].base )
break;
}
// Shift all the previous tasks for LRU replacement.
for ( j = k; j > 0; j-- )
args->cache[cache * size + j] = args->cache[cache * size + j - 1];
// Place the block on the cache as the most recently used.
args->cache[cache * size] = obj;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->cac_lock[cache]) ); // C ***
#endif
// Write invalidate if updating with output block.
if ( output )
{
for ( i = 0; i < n_caches; i++ )
{
if ( i != cache )
{
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->cac_lock[i]) ); // C ***
#endif
// Locate the position of the block in the cache.
for ( k = 0; k < size; k++ )
{
if ( obj.base == args->cache[i * size + k].base )
break;
}
// The block is owned by other thread.
if ( k < size )
{
// Shift all the blocks for the invalidated block.
for ( j = k; j < size - 1; j++ )
args->cache[i * size + j] = args->cache[i * size + j + 1];
// Invalidate the block.
args->cache[i * size + size - 1].base = NULL;
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->cac_lock[i]) ); // C ***
#endif
}
}
}
return;
}
void FLASH_Queue_prefetch( integer cache, void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_prefetch
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i;
integer size = args->size;
FLA_Obj obj;
// Prefetch blocks in opposite order to maintain LRU.
for ( i = size - 1; i >= 0; i-- )
{
obj = args->prefetch[i];
// Only prefetch if it is a valid block.
if ( obj.base != NULL )
{
// Prefetch the block.
FLASH_Queue_prefetch_block( obj );
// Record the prefetched block in the cache.
args->cache[cache * size + i] = obj;
}
}
return;
}
void FLASH_Queue_prefetch_block( FLA_Obj obj )
/*----------------------------------------------------------------------------
FLASH_Queue_prefetch_block
----------------------------------------------------------------------------*/
{
integer i, inc;
integer line_size = FLASH_Queue_get_cache_line_size();
integer elem_size = FLA_Obj_elem_size( obj );
integer length = FLA_Obj_length( obj );
integer width = FLA_Obj_width( obj );
FLA_Datatype datatype = FLA_Obj_datatype( obj );
// Determine stride to prefetch block into cache.
inc = line_size / elem_size;
// Switch between the four different datatypes.
switch ( datatype )
{
case FLA_FLOAT:
{
float *buffer = ( float * ) FLA_FLOAT_PTR( obj );
float access;
// Access each cache line of the block.
for ( i = 0; i < length * width; i += inc )
access = buffer[i];
// Prevent dead code elimination.
access += 1.0;
break;
}
case FLA_DOUBLE:
{
double *buffer = ( double * ) FLA_DOUBLE_PTR( obj );
double access;
// Access each cache line of the block.
for ( i = 0; i < length * width; i += inc )
access = buffer[i];
// Prevent dead code elimination.
access += 1.0;
break;
}
case FLA_COMPLEX:
{
scomplex *buffer = ( scomplex * ) FLA_COMPLEX_PTR( obj );
scomplex access;
// Access each cache line of the block.
for ( i = 0; i < length * width; i += inc )
access = buffer[i];
// Prevent dead code elimination.
access.real += 1.0;
break;
}
case FLA_DOUBLE_COMPLEX:
{
dcomplex *buffer = ( dcomplex * ) FLA_DOUBLE_COMPLEX_PTR( obj );
dcomplex access;
// Access each cache line of the block.
for ( i = 0; i < length * width; i += inc )
access = buffer[i];
// Prevent dead code elimination.
access.real += 1.0;
break;
}
case FLA_INT:
{
integer *buffer = ( integer * ) FLA_INT_PTR( obj );
integer access;
// Access each cache line of the block.
for ( i = 0; i < length * width; i += inc )
access = buffer[i];
// Prevent dead code elimination.
access += 1.0;
break;
}
default:
// This default case should never execute.
FLA_Check_error_code( FLA_INVALID_DATATYPE );
}
return;
}
FLASH_Task* FLASH_Queue_work_stealing( integer queue, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_work_stealing
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer q;
integer n_queues = args->n_queues;
FLASH_Task* t = NULL;
// Do not perform work stealing if there is only one queue.
if ( n_queues == 1 )
return t;
// Find a random queue not equal to the current queue.
do
{
#ifdef FLA_ENABLE_WINDOWS_BUILD
rand_s( &q );
q = q % n_queues;
#else
#ifdef FLA_ENABLE_TIDSP
q = rand() % n_queues;
#else
q = lrand48() % n_queues;
#endif
#endif
}
while ( q == queue );
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->run_lock[q]) ); // R ***
#endif
// If there are tasks that this thread can steal.
if ( args->wait_queue[q].n_tasks > 0 )
{
// Dequeue the last task.
t = args->wait_queue[q].tail;
if ( args->wait_queue[q].n_tasks == 1 )
{
// Clear the queue of its only task.
args->wait_queue[q].head = NULL;
args->wait_queue[q].tail = NULL;
}
else
{
// Adjust pointers in waiting queue.
args->wait_queue[q].tail = t->prev_wait;
args->wait_queue[q].tail->next_wait = NULL;
}
// Reset waiting queue data about the stolen task.
t->queue = queue;
t->prev_wait = NULL;
t->next_wait = NULL;
args->wait_queue[q].n_tasks--;
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->run_lock[q]) ); // R ***
#endif
return t;
}
#ifdef FLA_ENABLE_GPU
void FLASH_Queue_create_gpu( integer thread, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_create_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
dim_t block_size = args->block_size;
FLA_Datatype datatype = args->datatype;
// Exit if not using GPU.
if ( !FLASH_Queue_get_enabled_gpu() )
return;
// Bind thread to GPU.
FLASH_Queue_bind_gpu( thread );
// Allocate the memory on the GPU for all the blocks a priori.
for ( i = 0; i < gpu_n_blocks; i++ )
FLASH_Queue_alloc_gpu( block_size, datatype, &(args->gpu[thread * gpu_n_blocks + i].buffer_gpu) );
return;
}
void FLASH_Queue_destroy_gpu( integer thread, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_destroy_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
FLA_Obj_gpu gpu_obj;
// Exit if not using GPU.
if ( !FLASH_Queue_get_enabled_gpu() )
return;
// Examine every block left on the GPU.
for ( i = 0; i < gpu_n_blocks; i++ )
{
gpu_obj = args->gpu[thread * gpu_n_blocks + i];
// Flush the blocks that are dirty.
if ( gpu_obj.obj.base != NULL && !gpu_obj.clean )
FLASH_Queue_read_gpu( gpu_obj.obj, gpu_obj.buffer_gpu );
// Free the memory on the GPU for all the blocks.
FLASH_Queue_free_gpu( gpu_obj.buffer_gpu );
}
return;
}
FLA_Bool FLASH_Queue_exec_gpu( FLASH_Task *t, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_exec_gpu
----------------------------------------------------------------------------*/
{
void** input_arg;
void** output_arg;
if ( t == NULL )
return TRUE;
// If not using the GPU, then execute on CPU.
if ( !FLASH_Queue_get_enabled_gpu() )
{
FLASH_Queue_exec_task( t );
return TRUE;
}
// Check if all the operands are ready and up to date.
if ( !FLASH_Queue_check_gpu( t, arg ) )
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer queue = t->queue;
t->hit = FALSE;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->run_lock[queue]) ); // R ***
#endif
// Reenqueue the task if the blocks are not all flushed.
FLASH_Queue_wait_enqueue( t, arg );
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->run_lock[queue]) ); // R ***
#endif
return FALSE;
}
// If GPU is enabled, but the task is not supported for GPU execution.
if ( !t->enabled_gpu )
{
integer i, j, k;
integer thread = t->thread;
integer n_input_args = t->n_input_args;
integer n_output_args = t->n_output_args;
integer n_threads = FLASH_Queue_get_num_threads();
FLA_Bool duplicate;
FLA_Obj obj;
// Check the blocks on each GPU.
for ( k = 0; k < n_threads; k++ )
{
// Check the input and output arguments on the GPUs.
for ( i = 0; i < n_input_args + n_output_args; i++ )
{
// Check for duplicate blocks.
duplicate = FALSE;
// Find the correct input or output argument.
if ( i < n_input_args )
{
obj = t->input_arg[i];
for ( j = 0; j < n_output_args && !duplicate; j++ )
{
if ( obj.base == t->output_arg[j].base )
duplicate = TRUE;
}
for ( j = 0; j < i && !duplicate; j++ )
{
if ( obj.base == t->input_arg[j].base )
duplicate = TRUE;
}
}
else
{
obj = t->output_arg[i - n_input_args];
for ( j = 0; j < i - n_input_args && !duplicate; j++ )
{
if ( obj.base == t->output_arg[j].base )
duplicate = TRUE;
}
}
// If the block has not been processed before.
if ( !duplicate )
{
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Clear each block in macroblock.
for ( jj = 0; jj < n; jj++ )
{
for ( kk = 0; kk < m; kk++ )
{
obj = *( buf + jj * cs + kk );
// Flush the block to main memory if it is on the GPU.
if ( k == thread )
FLASH_Queue_flush_block_gpu( obj, k, arg );
// Invalidate output block on all GPUs.
if ( i >= n_input_args )
FLASH_Queue_invalidate_block_gpu( obj, k, arg );
}
}
}
else
{
// Flush the block to main memory if it is on the GPU.
if ( k == thread )
FLASH_Queue_flush_block_gpu( obj, k, arg );
// Invalidate output block on all GPUs.
if ( i >= n_input_args )
FLASH_Queue_invalidate_block_gpu( obj, k, arg );
}
}
}
}
// Execute the task on CPU instead of GPU.
FLASH_Queue_exec_task( t );
return TRUE;
}
// Gather the pointers for the data on the GPU.
input_arg = ( void** ) FLA_malloc( t->n_input_args * sizeof( void* ) );
output_arg = ( void** ) FLA_malloc( t->n_output_args * sizeof( void* ) );
// Bring all the blocks to GPU.
FLASH_Queue_update_gpu( t, input_arg, output_arg, arg );
// Execute the task on GPU.
FLASH_Queue_exec_task_gpu( t, input_arg, output_arg );
// Mark all the output blocks as dirty.
FLASH_Queue_mark_gpu( t, arg );
// Free memory.
FLA_free( input_arg );
FLA_free( output_arg );
return TRUE;
}
FLA_Bool FLASH_Queue_check_gpu( FLASH_Task *t, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_check_gpu
----------------------------------------------------------------------------*/
{
integer i, j, k;
integer thread = t->thread;
integer n_input_args = t->n_input_args;
integer n_output_args = t->n_output_args;
integer n_threads = FLASH_Queue_get_num_threads();
FLA_Bool r_val = TRUE;
FLA_Bool t_val;
FLA_Bool duplicate;
FLA_Obj obj;
// Check the input and output arguments on the GPUs.
for ( i = 0; i < n_input_args + n_output_args; i++ )
{
// Check for duplicate blocks.
duplicate = FALSE;
// Find the correct input or output argument.
if ( i < n_input_args )
{
obj = t->input_arg[i];
for ( j = 0; j < n_output_args && !duplicate; j++ )
{
if ( obj.base == t->output_arg[j].base )
duplicate = TRUE;
}
for ( j = 0; j < i && !duplicate; j++ )
{
if ( obj.base == t->input_arg[j].base )
duplicate = TRUE;
}
}
else
{
obj = t->output_arg[i - n_input_args];
for ( j = 0; j < i - n_input_args && !duplicate; j++ )
{
if ( obj.base == t->output_arg[j].base )
duplicate = TRUE;
}
}
// If the block has not been processed before.
if ( !duplicate )
{
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Clear each block in macroblock.
for ( jj = 0; jj < n; jj++ )
{
for ( kk = 0; kk < m; kk++ )
{
obj = *( buf + jj * cs + kk );
t_val = TRUE;
// Check to see if the block is dirty on another GPU.
for ( k = 0; k < n_threads && t_val; k++ )
if ( k != thread )
t_val = t_val && FLASH_Queue_check_block_gpu( obj, k, arg );
r_val = r_val && t_val;
}
}
}
else
{
t_val = TRUE;
// Check to see if the block is dirty on another GPU.
for ( k = 0; k < n_threads && t_val; k++ )
if ( k != thread )
t_val = t_val && FLASH_Queue_check_block_gpu( obj, k, arg );
r_val = r_val && t_val;
}
}
}
return r_val;
}
FLA_Bool FLASH_Queue_check_block_gpu( FLA_Obj obj, integer thread, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_check_block_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer k;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
FLA_Bool r_val = TRUE;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
// Locate the position of the block on the GPU.
for ( k = 0; k < gpu_n_blocks; k++ )
if ( obj.base == args->gpu[thread * gpu_n_blocks + k].obj.base )
break;
if ( k < gpu_n_blocks )
{
// Request this block if it is dirty.
if ( !args->gpu[thread * gpu_n_blocks + k].clean )
{
args->gpu[thread * gpu_n_blocks + k].request = TRUE;
r_val = FALSE;
}
}
// Check the victim block.
if ( obj.base == args->victim[thread].obj.base )
r_val = FALSE;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
return r_val;
}
void FLASH_Queue_update_gpu( FLASH_Task *t,
void **input_arg,
void **output_arg,
void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_update_gpu
----------------------------------------------------------------------------*/
{
integer i, j, k;
integer thread = t->thread;
integer n_threads = FLASH_Queue_get_num_threads();
FLA_Bool duplicate;
// None of the arguments can be macroblocks yet.
// Complicating factor is copying macroblock to contiguous memory on GPU.
// Bring the input arguments to the GPU.
for ( i = t->n_input_args - 1; i >= 0; i-- )
{
// Check for duplicate blocks.
duplicate = FALSE;
for ( j = 0; j < t->n_output_args && !duplicate; j++ )
{
if ( t->input_arg[i].base == t->output_arg[j].base )
duplicate = TRUE;
}
for ( j = 0; j < i && !duplicate; j++ )
{
if ( t->input_arg[i].base == t->input_arg[j].base )
duplicate = TRUE;
}
// If the input block has not been processed before.
if ( !duplicate )
{
FLASH_Queue_update_block_gpu( t->input_arg[i], input_arg + i, thread, arg );
}
else
{
input_arg[i] = NULL;
}
}
// Bring the output arguments to the GPU.
for ( i = t->n_output_args - 1; i >= 0; i-- )
{
// Check for duplicate blocks.
duplicate = FALSE;
for ( j = 0; j < i && !duplicate; j++ )
{
if ( t->output_arg[i].base == t->output_arg[j].base )
duplicate = TRUE;
}
// If the output block has not been processed before.
if ( !duplicate )
{
FLASH_Queue_update_block_gpu( t->output_arg[i], output_arg + i, thread, arg );
// Invalidate output blocks on all other GPUs.
for ( k = 0; k < n_threads; k++ )
if ( k != thread )
FLASH_Queue_invalidate_block_gpu( t->output_arg[i], k, arg );
}
else
{
output_arg[i] = NULL;
}
}
// Check to see if there are any duplicates.
for ( i = t->n_input_args - 1; i >= 0; i-- )
{
for ( j = 0; j < t->n_output_args && input_arg[i] == NULL; j++ )
{
if ( t->input_arg[i].base == t->output_arg[j].base )
input_arg[i] = output_arg[j];
}
for ( j = 0; j < i && input_arg[i] == NULL; j++ )
{
if ( t->input_arg[i].base == t->input_arg[j].base )
input_arg[i] = input_arg[j];
}
}
// Check to see if there are any duplicates.
for ( i = t->n_output_args - 1; i >= 0; i-- )
{
for ( j = 0; j < i && output_arg[i] == NULL; j++ )
{
if ( t->output_arg[i].base == t->output_arg[j].base )
output_arg[i] = output_arg[j];
}
}
return;
}
void FLASH_Queue_update_block_gpu( FLA_Obj obj,
void **buffer_gpu,
integer thread,
void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_update_block_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer j, k;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
FLA_Bool transfer = FALSE;
FLA_Bool evict = FALSE;
FLA_Obj_gpu evict_obj;
FLA_Obj_gpu gpu_obj;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
// Locate the position of the block on GPU.
for ( k = 0; k < gpu_n_blocks - 1; k++ )
if ( obj.base == args->gpu[thread * gpu_n_blocks + k].obj.base )
break;
// Save the pointer to the data on the GPU.
buffer_gpu[0] = args->gpu[thread * gpu_n_blocks + k].buffer_gpu;
// Save the victim block.
evict_obj = args->gpu[thread * gpu_n_blocks + k];
// The block is not already in the GPU.
if ( obj.base != args->gpu[thread * gpu_n_blocks + k].obj.base )
{
// Save for data transfer outside of critical section.
transfer = TRUE;
// Save for eviction outside of critical section.
if ( evict_obj.obj.base != NULL && !evict_obj.clean )
{
evict = TRUE;
args->victim[thread] = evict_obj;
}
// Save the block in the data structure.
args->gpu[thread * gpu_n_blocks + k].obj = obj;
// Make sure the new block is clean.
args->gpu[thread * gpu_n_blocks + k].clean = TRUE;
args->gpu[thread * gpu_n_blocks + k].request = FALSE;
}
// Use the block on the GPU that is a hit or LRU.
gpu_obj = args->gpu[thread * gpu_n_blocks + k];
// Shift all the previous tasks for LRU replacement.
for ( j = k; j > 0; j-- )
args->gpu[thread * gpu_n_blocks + j] = args->gpu[thread * gpu_n_blocks + j - 1];
// Place the block on the cache as the most recently used.
args->gpu[thread * gpu_n_blocks] = gpu_obj;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
// Evict and flush the LRU dirty block.
if ( evict )
{
FLASH_Queue_read_gpu( evict_obj.obj, evict_obj.buffer_gpu );
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
args->victim[thread].obj.base = NULL;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
}
// Move the block to the GPU.
if ( transfer )
FLASH_Queue_write_gpu( gpu_obj.obj, gpu_obj.buffer_gpu );
return;
}
void FLASH_Queue_mark_gpu( FLASH_Task *t, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_mark_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, j, k;
integer thread = t->thread;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
FLA_Bool duplicate;
FLA_Obj obj;
// Mark all the output blocks on the GPU as dirty.
for ( i = t->n_output_args - 1; i >= 0; i-- )
{
obj = t->output_arg[i];
// Check for duplicate blocks.
duplicate = FALSE;
for ( j = 0; j < i && !duplicate; j++ )
{
if ( obj.base == t->output_arg[j].base )
duplicate = TRUE;
}
// If the output block has not been processed before.
if ( !duplicate )
{
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
// Locate the position of the block on the GPU.
for ( k = 0; k < gpu_n_blocks; k++ )
if ( obj.base == args->gpu[thread * gpu_n_blocks + k].obj.base )
break;
if ( k < gpu_n_blocks )
{
// Change the bits for the new dirty block.
args->gpu[thread * gpu_n_blocks + k].clean = FALSE;
args->gpu[thread * gpu_n_blocks + k].request = FALSE;
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
}
}
return;
}
void FLASH_Queue_invalidate_block_gpu( FLA_Obj obj, integer thread, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_invalidate_block_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer j, k;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
FLA_Obj_gpu gpu_obj;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
// Locate the position of the block on the GPU.
for ( k = 0; k < gpu_n_blocks; k++ )
if ( obj.base == args->gpu[thread * gpu_n_blocks + k].obj.base )
break;
// The block is owned by other GPU.
if ( k < gpu_n_blocks )
{
// Invalidate the block.
args->gpu[thread * gpu_n_blocks + k].obj.base = NULL;
args->gpu[thread * gpu_n_blocks + k].clean = TRUE;
args->gpu[thread * gpu_n_blocks + k].request = FALSE;
// Save the block that will be invalidated.
gpu_obj = args->gpu[thread * gpu_n_blocks + k];
// Shift all the blocks for the invalidated block.
for ( j = k; j < gpu_n_blocks - 1; j++ )
args->gpu[thread * gpu_n_blocks + j] = args->gpu[thread * gpu_n_blocks + j + 1];
// Move to the LRU block.
args->gpu[thread * gpu_n_blocks + gpu_n_blocks - 1] = gpu_obj;
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
return;
}
void FLASH_Queue_flush_block_gpu( FLA_Obj obj, integer thread, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_flush_block_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer k;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
FLA_Bool transfer = FALSE;
FLA_Obj_gpu gpu_obj;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
// Locate the position of the block on the GPU.
for ( k = 0; k < gpu_n_blocks; k++ )
if ( obj.base == args->gpu[thread * gpu_n_blocks + k].obj.base )
break;
// The block is owned by the GPU.
if ( k < gpu_n_blocks )
{
// Save the block that will be flushed.
gpu_obj = args->gpu[thread * gpu_n_blocks + k];
// If the block is dirty, then flush it.
if ( gpu_obj.obj.base != NULL && !gpu_obj.clean )
transfer = TRUE;
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
// Exit early if a flush is not required.
if ( !transfer )
return;
// Flush the block outside the critical section.
FLASH_Queue_read_gpu( gpu_obj.obj, gpu_obj.buffer_gpu );
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
// Locate the position of the block on the GPU.
for ( k = 0; k < gpu_n_blocks; k++ )
if ( obj.base == args->gpu[thread * gpu_n_blocks + k].obj.base )
break;
if ( k < gpu_n_blocks )
{
// Update the bits for the flushed block.
args->gpu[thread * gpu_n_blocks + k].clean = TRUE;
args->gpu[thread * gpu_n_blocks + k].request = FALSE;
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
return;
}
void FLASH_Queue_flush_gpu( integer thread, void *arg )
/*----------------------------------------------------------------------------
FLASH_Queue_flush_gpu
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, k;
dim_t gpu_n_blocks = FLASH_Queue_get_gpu_num_blocks();
integer n_transfer = 0;
FLA_Obj_gpu gpu_obj;
// Exit if not using GPU.
if ( !FLASH_Queue_get_enabled_gpu() )
return;
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
for ( k = 0; k < gpu_n_blocks; k++ )
{
// Save the block that might be flushed.
gpu_obj = args->gpu[thread * gpu_n_blocks + k];
// Flush the block if it is dirty and requested.
if ( gpu_obj.obj.base != NULL && !gpu_obj.clean && gpu_obj.request )
{
// Save the block for data transfer outside the critical section.
args->gpu_log[thread * gpu_n_blocks + n_transfer] = gpu_obj;
n_transfer++;
}
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
// Exit early if a flush is not required.
if ( n_transfer == 0 )
return;
// Flush the block outside the critical section.
for ( i = 0; i < n_transfer; i++ )
{
gpu_obj = args->gpu_log[thread * gpu_n_blocks + i];
FLASH_Queue_read_gpu( gpu_obj.obj, gpu_obj.buffer_gpu );
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_acquire( &(args->gpu_lock[thread]) ); // G ***
#endif
// Update the bits for each block that is flushed.
for ( i = 0; i < n_transfer; i++ )
{
// Locate the position of the block on the GPU.
for ( k = 0; k < gpu_n_blocks; k++ )
if ( args->gpu_log[thread * gpu_n_blocks + i].obj.base ==
args->gpu[thread * gpu_n_blocks + k].obj.base )
break;
if ( k < gpu_n_blocks )
{
// The block is now clean.
args->gpu[thread * gpu_n_blocks + k].clean = TRUE;
args->gpu[thread * gpu_n_blocks + k].request = FALSE;
}
}
#ifdef FLA_ENABLE_MULTITHREADING
FLA_Lock_release( &(args->gpu_lock[thread]) ); // G ***
#endif
return;
}
#endif
#ifdef FLA_ENABLE_MULTITHREADING
void FLASH_Queue_exec_parallel( void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_exec_parallel
----------------------------------------------------------------------------*/
{
integer i;
integer n_threads = FLASH_Queue_get_num_threads();
void* (*thread_entry_point)( void* );
// Allocate the thread structures array. Here, an array of FLASH_Thread
// structures of length n_threads is allocated and the fields of each
// structure set to appropriate values.
FLASH_Thread* thread = ( FLASH_Thread* ) FLA_malloc( n_threads * sizeof( FLASH_Thread ) );
// Initialize the thread structures array.
for ( i = 0; i < n_threads; i++ )
{
// Save the thread's identifier.
thread[i].id = i;
// Save the pointer to the necessary variables with the thread.
thread[i].args = arg;
// The pthread object, if it was even compiled into the FLASH_Thread
// structure, will be initialized by the pthread implementation when we
// call pthread_create() and does not need to be touched at this time.
}
// Determine which function to send threads to.
thread_entry_point = FLASH_Queue_exec_parallel_function;
#if FLA_MULTITHREADING_MODEL == FLA_OPENMP
// An OpenMP parallel for region spawns n_threads threads. Each thread
// executes the work function with a different FLASH_Thread argument.
// An implicit synchronization point exists at the end of the curly
// brace scope.
#pragma omp parallel for \
private( i ) \
shared( thread, n_threads, thread_entry_point ) \
schedule( static, 1 ) \
num_threads( n_threads )
for ( i = 0; i < n_threads; ++i )
{
thread_entry_point( ( void* ) &thread[i] );
}
#elif FLA_MULTITHREADING_MODEL == FLA_PTHREADS
// Create each POSIX thread needed in addition to the main thread.
for ( i = 1; i < n_threads; i++ )
{
integer pthread_e_val;
// Create thread i with default attributes.
pthread_e_val = pthread_create( &(thread[i].pthread_obj),
NULL,
thread_entry_point,
( void* ) &thread[i] );
#ifdef FLA_ENABLE_INTERNAL_ERROR_CHECKING
FLA_Error e_val = FLA_Check_pthread_create_result( pthread_e_val );
FLA_Check_error_code( e_val );
#endif
}
// The main thread is assigned the role of thread 0. Here we manually
// execute it as a worker thread.
thread_entry_point( ( void* ) &thread[0] );
// Wait for non-main threads to finish.
for ( i = 1; i < n_threads; i++ )
{
// These two variables are declared local to this for loop since this
// is the only place they are needed, and since they would show up as
// unused variables if FLA_MULTITHREADING_MODEL == FLA_PTHREADS.
// Strangely, the Intel compiler produces code that results in an
// "unaligned access" runtime message if thread_status is declared as
// an integer. Declaring it as a long or void* appears to force the
// compiler (not surprisingly) into aligning it to an 8-byte boundary.
integer pthread_e_val;
void* thread_status;
// Wait for thread i to invoke its respective pthread_exit().
// The return value passed to pthread_exit() is provided to us
// via status, if one was given.
pthread_e_val = pthread_join( thread[i].pthread_obj,
( void** ) &thread_status );
#ifdef FLA_ENABLE_INTERNAL_ERROR_CHECKING
FLA_Error e_val = FLA_Check_pthread_join_result( pthread_e_val );
FLA_Check_error_code( e_val );
#endif
}
#endif
FLA_free( thread );
return;
}
//#include <sched.h>
//#include <sys/types.h>
//#include <linux/unistd.h>
//#include <errno.h>
//#include <unistd.h>
//#include <sys/syscall.h>
void* FLASH_Queue_exec_parallel_function( void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_exec_parallel_function
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args;
integer i;
integer queue;
integer cache;
integer n_tasks = FLASH_Queue_get_num_tasks();
integer n_threads = FLASH_Queue_get_num_threads();
integer n_cores = FLASH_Queue_get_cores_per_cache();
FLA_Bool caching = FLASH_Queue_get_caching();
FLA_Bool stealing = FLASH_Queue_get_work_stealing();
FLA_Bool committed = TRUE;
FLA_Bool condition = TRUE;
FLA_Bool enabled = FALSE;
FLA_Bool available;
FLASH_Task* t = NULL;
FLASH_Task* r = NULL;
FLASH_Thread* me;
//cpu_set_t cpu_set;
// Interpret the thread argument as what it really is--a pointer to an
// FLASH_Thread structure.
me = ( FLASH_Thread* ) arg;
// Extract the variables from the current thread.
args = ( FLASH_Queue_vars* ) me->args;
// Figure out the id of the current thread.
i = me->id;
// Set the CPU affinity; We want the current thread i to run only on CPU i.
//CPU_ZERO( &cpu_set );
//CPU_SET( i, &cpu_set );
//sched_setaffinity( syscall( __NR_gettid ), sizeof(cpu_set_t), &cpu_set );
// Determine to which queue this thread belongs.
queue = i / ( n_threads / args->n_queues );
// Determine to which cache this thread belongs.
cache = i / n_cores;
#ifdef FLA_ENABLE_GPU
// Create memory on GPU.
FLASH_Queue_create_gpu( i, ( void* ) args );
// Save whether GPUs are enabled.
enabled = FLASH_Queue_get_enabled_gpu();
// Only use each GPU as its own cache when GPUs are enabled.
if ( enabled )
cache = i;
#endif
// Prefetch blocks into the cache before execution.
if ( caching && !enabled && i % n_cores == 0 )
FLASH_Queue_prefetch( cache, ( void* ) args );
// Loop until all the tasks have committed.
while ( condition )
{
#ifdef FLA_ENABLE_GPU
// Check to see if any blocks on GPU need to be flushed.
FLASH_Queue_flush_gpu( i, ( void* ) args );
#endif
// Dequeue a task if there has not been one binded to thread.
if ( r == NULL )
{
FLA_Lock_acquire( &(args->run_lock[queue]) ); // R ***
// Obtain task to execute.
t = FLASH_Queue_wait_dequeue( queue, cache, ( void* ) args );
FLA_Lock_release( &(args->run_lock[queue]) ); // R ***
}
else
{
// Obtain the binded task.
t = r;
r = NULL;
}
// Dequeued a task from the waiting queue.
available = ( t != NULL );
if ( available )
{
// Save the thread and cache that executes the task.
t->thread = i;
t->cache = cache;
if ( caching && !enabled )
{
// Update the current state of the cache.
FLASH_Queue_update_cache( t, ( void* ) args );
}
#ifdef FLA_ENABLE_GPU
// Execute the task on GPU.
committed = FLASH_Queue_exec_gpu( t, ( void* ) args );
#else
// Execute the task.
FLASH_Queue_exec_task( t );
#endif
// If the task has executed or not.
if ( committed )
{
// Update task dependencies.
r = FLASH_Task_update_dependencies( t, ( void* ) args );
// Free the task once it executes in parallel.
FLASH_Task_free_parallel( t, ( void* ) args );
}
}
else
{
if ( stealing )
{
// Perform work stealing if there are no tasks to dequeue.
r = FLASH_Queue_work_stealing( queue, ( void* ) args );
}
}
FLA_Lock_acquire( &(args->all_lock) ); // A ***
// Increment program counter.
if ( available && committed )
args->pc++;
// Terminate loop.
if ( args->pc >= n_tasks )
condition = FALSE;
FLA_Lock_release( &(args->all_lock) ); // A ***
}
#ifdef FLA_ENABLE_GPU
// Destroy and flush contents of GPU back to main memory.
FLASH_Queue_destroy_gpu( i, ( void* ) args );
#endif
#if FLA_MULTITHREADING_MODEL == FLA_PTHREADS
// If this is a non-main thread, then exit with a zero (normal) error code.
// The main thread cannot call pthread_exit() because this routine never
// returns. The main thread must proceed so it can oversee the joining of
// the exited non-main pthreads.
if ( i != 0 )
pthread_exit( ( void* ) NULL );
#endif
return ( void* ) NULL;
}
FLASH_Task* FLASH_Task_update_dependencies( FLASH_Task* t, void* arg )
/*----------------------------------------------------------------------------
FLASH_Task_update_dependencies
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i;
integer q = t->queue;
integer queue;
integer thread;
integer n_threads = FLASH_Queue_get_num_threads();
FLA_Bool caching = FLASH_Queue_get_caching();
FLA_Bool stealing = FLASH_Queue_get_work_stealing();
FLA_Bool available;
FLASH_Task* task;
FLASH_Task* r = NULL;
FLASH_Dep* d = t->dep_arg_head;
// Dequeue task to bind to thread if caching is enabled.
if ( caching )
{
FLA_Lock_acquire( &(args->run_lock[q]) ); // R ***
// Obtain task to execute.
r = FLASH_Queue_wait_dequeue( q, t->cache, arg );
FLA_Lock_release( &(args->run_lock[q]) ); // R ***
}
// Check each dependent task.
for ( i = 0; i < t->n_dep_args; i++ )
{
if ( stealing )
{
// Place all dependent tasks onto same queue as predecessor task.
d->task->queue = q;
}
task = d->task;
queue = task->queue;
thread = task->order % n_threads;
FLA_Lock_acquire( &(args->dep_lock[thread]) ); // D ***
task->n_ready--;
available = ( task->n_ready == 0 );
FLA_Lock_release( &(args->dep_lock[thread]) ); // D ***
// Place newly ready tasks on waiting queue.
if ( available )
{
// If caching is enabled and the task belongs to this thread's queue.
if ( caching && q == queue )
{
// Determine if there is a new binded task.
r = FLASH_Task_update_binding( task, r, arg );
}
else
{
FLA_Lock_acquire( &(args->run_lock[queue]) ); // R ***
FLASH_Queue_wait_enqueue( task, arg );
FLA_Lock_release( &(args->run_lock[queue]) ); // R ***
}
}
// Go to the next dep.
d = d->next_dep;
}
return r;
}
FLASH_Task* FLASH_Task_update_binding( FLASH_Task* t, FLASH_Task* r,
void* arg )
/*----------------------------------------------------------------------------
FLASH_Task_update_binding
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer queue;
if ( r == NULL )
{
// There are no tasks on waiting queue, so bind the first task.
r = t;
r->hit = TRUE;
}
else
{
// Swap the binded task for the new ready task.
if ( !r->hit || ( FLASH_Queue_get_sorting() && r->height < t->height ) )
{
queue = r->queue;
r->hit = FALSE;
FLA_Lock_acquire( &(args->run_lock[queue]) ); // R ***
// Place swapped task back onto waiting queue.
FLASH_Queue_wait_enqueue( r, arg );
FLA_Lock_release( &(args->run_lock[queue]) ); // R ***
// Bind the new ready task.
r = t;
r->hit = TRUE;
}
else // Keep the binded task and enqueue new ready task.
{
queue = t->queue;
FLA_Lock_acquire( &(args->run_lock[queue]) ); // R ***
FLASH_Queue_wait_enqueue( t, arg );
FLA_Lock_release( &(args->run_lock[queue]) ); // R ***
}
}
return r;
}
void FLASH_Task_free_parallel( FLASH_Task* t, void* arg )
/*----------------------------------------------------------------------------
FLASH_Task_free_parallel
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, j, k;
integer thread;
integer n_threads = FLASH_Queue_get_num_threads();
FLASH_Dep* d;
FLASH_Dep* next_dep;
FLA_Obj obj;
// Clearing the last write task in each output block.
for ( i = 0; i < t->n_output_args; i++ )
{
obj = t->output_arg[i];
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Clear each block in macroblock.
for ( jj = 0; jj < n; jj++ )
for ( kk = 0; kk < m; kk++ )
( buf + jj * cs + kk )->base->write_task = NULL;
}
else // Clear regular block.
{
obj.base->write_task = NULL;
}
}
// Cleaning the last read tasks in each input block.
for ( i = 0; i < t->n_input_args; i++ )
{
obj = t->input_arg[i];
// Macroblock is used.
if ( FLA_Obj_elemtype( obj ) == FLA_MATRIX )
{
dim_t jj, kk;
dim_t m = FLA_Obj_length( obj );
dim_t n = FLA_Obj_width( obj );
dim_t cs = FLA_Obj_col_stride( obj );
FLA_Obj* buf = FLASH_OBJ_PTR_AT( obj );
// Clear each block in macroblock.
for ( jj = 0; jj < n; jj++ )
{
for ( kk = 0; kk < m; kk++ )
{
obj = *( buf + jj * cs + kk );
thread = obj.base->n_read_blocks % n_threads;
FLA_Lock_acquire( &(args->war_lock[thread]) ); // W ***
k = obj.base->n_read_tasks;
d = obj.base->read_task_head;
obj.base->n_read_tasks = 0;
obj.base->read_task_head = NULL;
obj.base->read_task_tail = NULL;
FLA_Lock_release( &(args->war_lock[thread]) ); // W ***
for ( j = 0; j < k; j++ )
{
next_dep = d->next_dep;
FLA_free( d );
d = next_dep;
}
}
}
}
else // Regular block.
{
thread = obj.base->n_read_blocks % n_threads;
FLA_Lock_acquire( &(args->war_lock[thread]) ); // W ***
k = obj.base->n_read_tasks;
d = obj.base->read_task_head;
obj.base->n_read_tasks = 0;
obj.base->read_task_head = NULL;
obj.base->read_task_tail = NULL;
FLA_Lock_release( &(args->war_lock[thread]) ); // W ***
for ( j = 0; j < k; j++ )
{
next_dep = d->next_dep;
FLA_free( d );
d = next_dep;
}
}
}
// Free the dep_arg field of t.
d = t->dep_arg_head;
for ( i = 0; i < t->n_dep_args; i++ )
{
next_dep = d->next_dep;
FLA_free( d );
d = next_dep;
}
// Free the int_arg field of t.
FLA_free( t->int_arg );
// Free the fla_arg field of t.
FLA_free( t->fla_arg );
// Free the input_arg field of t.
FLA_free( t->input_arg );
// Free the output_arg field of t.
FLA_free( t->output_arg );
// Finally, free the struct itself.
FLA_free( t );
return;
}
#endif
// ============================================================================
#ifndef FLA_ENABLE_MULTITHREADING
void FLASH_Queue_exec_simulation( void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_exec_simulation
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, j;
integer queue;
integer cache;
integer n_stages = 0;
integer n_queues = args->n_queues;
integer n_tasks = FLASH_Queue_get_num_tasks();
integer n_threads = FLASH_Queue_get_num_threads();
integer n_cores = FLASH_Queue_get_cores_per_cache();
FLASH_Verbose verbose = FLASH_Queue_get_verbose_output();
FLASH_Task* task;
FLASH_Task* t;
FLASH_Dep* d;
// An array to hold tasks to be executed during of simulation.
#ifdef FLA_ENABLE_WINDOWS_BUILD
FLASH_Task** exec_array = ( FLASH_Task** ) FLA_malloc( n_threads * sizeof( FLASH_Task* ) );
#else
FLASH_Task* exec_array[n_threads];
#endif
for ( i = 0; i < n_threads; i++ )
{
// Initialize all exec_array to NULL.
exec_array[i] = NULL;
// Prefetch blocks into the cache before execution.
if ( i % n_cores == 0 )
FLASH_Queue_prefetch( i, arg );
}
// Loop until all the tasks have committed.
while ( args->pc < n_tasks )
{
for ( i = 0; i < n_threads; i++ )
{
// Update waiting queue with ready tasks.
t = exec_array[i];
if ( t != NULL )
{
// Check each dependent task.
d = t->dep_arg_head;
for ( j = 0; j < t->n_dep_args; j++ )
{
task = d->task;
task->n_ready--;
// Place newly ready tasks on waiting queue.
if ( task->n_ready == 0 )
{
FLASH_Queue_wait_enqueue( task, arg );
}
// Go to the next dep.
d = d->next_dep;
}
// Free the task.
FLASH_Task_free( t );
}
}
n_stages++;
if ( !verbose )
printf( "%7d", n_stages );
// Move ready tasks from the waiting queue to execution queue.
for ( i = 0; i < n_threads; i++ )
{
// Determine to which queue this thread belongs.
queue = i / ( n_threads / n_queues );
// Determine to which cache this thread belongs.
cache = i / n_cores;
// Dequeue a task.
t = FLASH_Queue_wait_dequeue( queue, cache, arg );
// Save the task for execution.
exec_array[i] = t;
if ( t != NULL )
{
// Save the thread and cache that executes the task.
t->thread = i;
t->cache = cache;
// Increment program counter.
args->pc++;
}
}
// Execute independent tasks.
for ( i = 0; i < n_threads; i++ )
{
t = exec_array[i];
FLASH_Queue_update_cache( t, arg );
FLASH_Queue_exec_task( t );
if ( !verbose )
printf( "%7s", ( t == NULL ? " " : t->name ) );
// Free the task if this is the last stage.
if ( args->pc == n_tasks && t != NULL )
FLASH_Task_free( t );
}
if ( !verbose )
printf( "\n" );
}
if ( !verbose )
printf( "\n" );
#ifdef FLA_ENABLE_WINDOWS_BUILD
FLA_free( exec_array );
#endif
return;
}
#endif
#else // FLA_ENABLE_SCC
integer RCCE_acquire_lock(integer);
integer RCCE_release_lock(integer);
double RCCE_wtime(void);
integer RCCE_ue(void);
//This function needs to be defined in the driver
// or linked in some how by the user.
//It just just RCCE_barrier( &RCCE_COMM_WORLD ),
// but we can't implement it here because we're
// trying not to link in RCCE.h
void Synch_all();
typedef struct FLASH_Queue_variables
{
// Queue of all the tasks.
FLASH_Task** task_queue;
// The waiting queue of tasks for each thread.
integer* n_ready;
// The waiting queue of tasks for each thread.
integer* wait_queue;
// The number of tasks on waiting queue.
integer* n_wait;
// A global task counter that keeps track of how many tasks on the waiting
// queue have been processed.
integer* pc;
} FLASH_Queue_vars;
void FLASH_Queue_exec( void )
/*----------------------------------------------------------------------------
FLASH_Queue_exec
----------------------------------------------------------------------------*/
{
integer n_tasks = FLASH_Queue_get_num_tasks();
integer i;
double dtime;
// All the necessary variables for the SuperMatrix mechanism.
FLASH_Queue_vars args;
// If the queue is empty, return early.
if ( n_tasks == 0 )
return;
// Turn off all multiple queue implementations.
FLASH_Queue_set_data_affinity( FLASH_QUEUE_AFFINITY_NONE );
FLASH_Queue_set_work_stealing( FALSE );
// Do not use cache affinity yet.
FLASH_Queue_set_caching( FALSE );
// Allocate memory for task queues.
args.task_queue = ( FLASH_Task** ) FLA_malloc( n_tasks * sizeof( FLASH_Task* ) );
args.n_ready = ( integer* ) FLA_shmalloc( n_tasks * sizeof( integer ) );
args.wait_queue = ( integer* ) FLA_shmalloc( n_tasks * sizeof( integer ) );
args.n_wait = ( integer* ) FLA_shmalloc( sizeof( integer ) );
args.pc = ( integer* ) FLA_shmalloc( sizeof( integer ) );
// Initialize data.
if ( FLA_is_owner() )
{
args.n_wait[0] = 0;
args.pc[0] = 0;
}
Synch_all();
// Initialize tasks with critical information.
FLASH_Queue_init_tasks( ( void* ) &args );
// Display verbose output before free all tasks.
if ( FLASH_Queue_get_verbose_output() )
FLASH_Queue_verbose_output();
// Start timing the parallel execution.
dtime = RCCE_wtime();
FLASH_Queue_exec_parallel_function( ( void* ) &args );
// End timing the parallel execution.
dtime = RCCE_wtime() - dtime;
FLASH_Queue_set_parallel_time( dtime );
// Free all tasks sequentially.
for ( i = 0; i < n_tasks; i++ )
FLASH_Task_free( args.task_queue[i] );
// Free data.
FLA_free( args.task_queue );
FLA_shfree( args.n_ready );
FLA_shfree( args.wait_queue );
FLA_shfree( args.n_wait );
FLA_shfree( args.pc );
// Reset values for next call to FLASH_Queue_exec().
FLASH_Queue_reset();
return;
}
void FLASH_Queue_init_tasks( void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_init_tasks
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i, j;
integer n_tasks = FLASH_Queue_get_num_tasks();
integer n_ready = 0;
integer height;
FLASH_Task* t;
FLASH_Dep* d;
// Grab the tail of the task queue.
t = FLASH_Queue_get_tail_task();
for ( i = n_tasks - 1; i >= 0; i-- )
{
// Save all the task pointers.
args->task_queue[i] = t;
// Only use a single queue implementation.
t->queue = 0;
// Determine the height of each task in the DAG.
height = 0;
d = t->dep_arg_head;
// Take the maximum height of dependent tasks.
for ( j = 0; j < t->n_dep_args; j++ )
{
height = max( height, d->task->height );
d = d->next_dep;
}
t->height = height + 1;
// Since freeing a task is always a leaf, we want to force it to execute
// earlier by giving it a greater height in order to reclaim memory.
if ( t->func == (void *) FLA_Obj_free_buffer_task )
t->height += n_tasks;
// Find all ready tasks.
t->n_ready += t->n_input_args + t->n_output_args +
t->n_macro_args + t->n_war_args;
if ( t->n_ready == 0 )
{
// Save the number of ready and available tasks.
n_ready++;
}
if ( FLA_is_owner() )
{
// Record all the ready values.
args->n_ready[i] = t->n_ready;
}
// Go to the previous task.
t = t->prev_task;
}
// Only allow the first core to enqueue the initial ready tasks.
if ( !FLA_is_owner() )
return;
// Grab the head of the task queue.
t = FLASH_Queue_get_head_task();
for ( i = 0; i < n_tasks && n_ready > 0; i++ )
{
if ( t->n_ready == 0 )
{
RCCE_acquire_lock( 0 );
// Enqueue all the ready and available tasks.
FLASH_Queue_wait_enqueue( t, arg );
RCCE_release_lock( 0 );
// Decrement the number of ready tasks left to be enqueued.
n_ready--;
}
// Go to the next task.
t = t->next_task;
}
return;
}
void FLASH_Queue_wait_enqueue( FLASH_Task* t, void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_wait_enqueue
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i = args->n_wait[0] + args->pc[0];
// Insertion sort of tasks in waiting queue.
if ( FLASH_Queue_get_sorting() )
{
for ( ; i > args->pc[0]; i-- )
{
if ( args->task_queue[args->wait_queue[i-1]]->height >
args->task_queue[t->order]->height )
break;
args->wait_queue[i] = args->wait_queue[i-1];
}
}
args->wait_queue[i] = t->order;
// Increment number of tasks on waiting queue.
args->n_wait[0]++;
return;
}
FLASH_Task* FLASH_Queue_wait_dequeue( integer queue, integer cache, void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_wait_dequeue
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
FLASH_Task* t = NULL;
if ( args->n_wait[0] > 0 )
{
// Grab the head of the queue.
t = args->task_queue[args->wait_queue[args->pc[0]]];
// Decrement number of tasks on waiting queue.
args->n_wait[0]--;
// Increment the program counter.
args->pc[0]++;
}
return t;
}
void* FLASH_Queue_exec_parallel_function( void* arg )
/*----------------------------------------------------------------------------
FLASH_Queue_exec_parallel_function
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i = RCCE_ue();
integer queue = 0;
integer cache = 0;
integer n_tasks = FLASH_Queue_get_num_tasks();
integer n_threads = FLASH_Queue_get_num_threads();
FLA_Bool condition;
FLA_Bool available;
FLASH_Task* t = NULL;
// Do not let extraneous cores execute.
if ( i < n_threads )
condition = TRUE;
else
condition = FALSE;
// Loop until all the tasks have committed.
while ( condition )
{
RCCE_acquire_lock( 0 );
// Obtain task to execute.
t = FLASH_Queue_wait_dequeue( queue, cache, ( void* ) args );
RCCE_release_lock( 0 );
// Dequeued a task from the waiting queue.
available = ( t != NULL );
if ( available )
{
// Save the thread and cache that executes the task.
t->thread = i;
t->cache = cache;
// Execute the task.
FLASH_Queue_exec_task( t );
// Update task dependencies.
FLASH_Task_update_dependencies( t, ( void* ) args );
}
RCCE_acquire_lock( 0 );
// Terminate loop.
if ( args->pc[0] >= n_tasks )
condition = FALSE;
RCCE_release_lock( 0 );
}
return ( void* ) NULL;
}
FLASH_Task* FLASH_Task_update_dependencies( FLASH_Task* t, void* arg )
/*----------------------------------------------------------------------------
FLASH_Task_update_dependencies
----------------------------------------------------------------------------*/
{
FLASH_Queue_vars* args = ( FLASH_Queue_vars* ) arg;
integer i;
integer n_threads = FLASH_Queue_get_num_threads();
integer thread;
FLA_Bool available;
FLASH_Task* task;
FLASH_Task* r = NULL;
FLASH_Dep* d = t->dep_arg_head;
// Check each dependent task.
for ( i = 0; i < t->n_dep_args; i++ )
{
task = d->task;
// Use the remaining locks except for the first one.
thread = ( n_threads > 1 ? task->order % ( n_threads - 1 ) + 1 : 0 );
RCCE_acquire_lock( thread );
args->n_ready[task->order]--;
available = ( args->n_ready[task->order] == 0 );
RCCE_release_lock( thread );
// Place newly ready tasks on waiting queue.
if ( available )
{
RCCE_acquire_lock( 0 );
FLASH_Queue_wait_enqueue( task, arg );
RCCE_release_lock( 0 );
}
// Go to the next dep.
d = d->next_dep;
}
return r;
}
#endif // FLA_ENABLE_SCC
#endif // FLA_ENABLE_SUPERMATRIX
|
p2p.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: Pipeline
PURPOSE: This program tests the efficiency with which point-to-point
synchronization can be carried out. It does so by executing
a pipelined algorithm on an m*n grid. The first array dimension
is distributed among the threads (stripwise decomposition).
USAGE: The program takes as input the number of threads, the
dimensions of the grid, and the number of iterations on the grid
<progname> <# threads> <iterations> <m> <n>
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, March 2006.
- modified by Rob Van der Wijngaart, August 2006:
* changed boundary conditions and stencil computation to avoid
overflow
* introduced multiple iterations over grid and dependency between
iterations
*******************************************************************/
#include <par-res-kern_general.h>
#include <par-res-kern_omp.h>
/* define shorthand for indexing a multi-dimensional array */
#define ARRAY(i,j) vector[i+(j)*(m)]
/* define shorthand for flag with cache line padding */
#define LINEWORDS 16
#define flag(TID,j) flag[((TID)+(j)*nthread)*LINEWORDS]
int main(int argc, char ** argv) {
int TID; /* Thread ID */
long m, n; /* grid dimensions */
int i, j, jj, iter, ID; /* dummies */
int iterations; /* number of times to run the pipeline algorithm */
int *flag; /* used for pairwise synchronizations */
int *start, *end; /* starts and ends of grid slices */
int segment_size;
double pipeline_time, /* timing parameters */
avgtime;
double epsilon = 1.e-8; /* error tolerance */
double corner_val; /* verification value at top right corner of grid */
int nthread_input, /* thread parameters */
nthread;
int grp; /* grid line aggregation factor */
int jjsize; /* actual line group size */
double * RESTRICT vector;/* array holding grid values */
long total_length; /* total required length to store grid values */
int num_error=0; /* flag that signals that requested and obtained
numbers of threads are the same */
int true, false; /* toggled booleans used for synchronization */
/*******************************************************************************
** process and test input parameters
********************************************************************************/
printf("Parallel Research Kernels version %s\n", PRKVERSION);
printf("OpenMP pipeline execution on 2D grid\n");
if (argc != 5 && argc != 6){
printf("Usage: %s <# threads> <# iterations> <first array dimension> ", *argv);
printf("<second array dimension> [group factor]\n");
return(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 >= 1 : %d \n",iterations);
exit(EXIT_FAILURE);
}
m = atol(*++argv);
n = atol(*++argv);
if (m < 1 || n < 1){
printf("ERROR: grid dimensions must be positive: %ld, %ld \n", m, n);
exit(EXIT_FAILURE);
}
if (argc==6) {
grp = atoi(*++argv);
if (grp < 1) grp = 1;
else if (grp >= n) grp = n-1;
}
else grp = 1;
total_length = sizeof(double)*m*n;
vector = (double *) prk_malloc(total_length);
if (!vector) {
printf("ERROR: Could not allocate space for vector: %ld\n", total_length);
exit(EXIT_FAILURE);
}
if (m<nthread_input) {
printf("First grid dimension %ld smaller than number of threads requested: %d\n",
m, nthread_input);
exit(EXIT_FAILURE);
}
start = (int *) prk_malloc(2*nthread_input*sizeof(int));
if (!start) {
printf("ERROR: Could not allocate space for array of slice boundaries\n");
exit(EXIT_FAILURE);
}
end = start + nthread_input;
start[0] = 0;
for (ID=0; ID<nthread_input; ID++) {
segment_size = m/nthread_input;
if (ID < (m%nthread_input)) segment_size++;
if (ID>0) start[ID] = end[ID-1]+1;
end[ID] = start[ID]+segment_size-1;
}
flag = (int *) prk_malloc(sizeof(int)*nthread_input*LINEWORDS*n);
if (!flag) {
printf("ERROR: COuld not allocate space for synchronization flags\n");
exit(EXIT_FAILURE);
}
#pragma omp parallel private(i, j, jj, jjsize, TID, iter, true, false)
{
#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("Grid sizes = %ld, %ld\n", m, n);
printf("Number of iterations = %d\n", iterations);
if (grp > 1)
printf("Group factor = %d (cheating!)\n", grp);
#if SYNCHRONOUS
printf("Neighbor thread handshake = on\n");
#else
printf("Neighbor thread handshake = off\n");
#endif
}
}
bail_out(num_error);
TID = omp_get_thread_num();
/* clear the array, assuming first-touch memory placement */
for (j=0; j<n; j++) for (i=start[TID]; i<=end[TID]; i++) ARRAY(i,j) = 0.0;
/* set boundary values (bottom and left side of grid */
if (TID==0) for (j=0; j<n; j++) ARRAY(start[TID],j) = (double) j;
for (i=start[TID]; i<=end[TID]; i++) ARRAY(i,0) = (double) i;
/* set flags to zero to indicate no data is available yet */
true = 1; false = !true;
for (j=0; j<n; j++) flag(TID,j) = false;
/* we need a barrier after setting the flags, to make sure each is
visible to all threads, and to synchronize before the iterations start */
#pragma omp barrier
for (iter = 0; iter<=iterations; iter++){
#if !SYNCHRONOUS
/* true and false toggle each iteration */
true = (iter+1)%2; false = !true;
#endif
/* start timer after a warmup iteration */
if (iter == 1) {
#pragma omp barrier
#pragma omp master
{
pipeline_time = wtime();
}
}
if (TID==0) { /* first thread waits for corner value to be copied */
while (flag(0,0) == true) {
#pragma omp flush
}
#if SYNCHRONOUS
flag(0,0)= true;
#pragma omp flush
#endif
}
for (j=1; j<n; j+=grp) { /* apply grouping */
jjsize = MIN(grp, n-j);
/* if not on left boundary, wait for left neighbor to produce data */
if (TID > 0) {
while (flag(TID-1,j) == false) {
#pragma omp flush
}
#if SYNCHRONOUS
flag(TID-1,j)= false;
#pragma omp flush
#endif
}
for (jj=j; jj<j+jjsize; jj++)
for (i=MAX(start[TID],1); i<= end[TID]; i++) {
ARRAY(i,jj) = ARRAY(i-1,jj) + ARRAY(i,jj-1) - ARRAY(i-1,jj-1);
}
/* if not on right boundary, signal right neighbor it has new data */
if (TID < nthread-1) {
#if SYNCHRONOUS
while (flag(TID,j) == true) {
#pragma omp flush
}
#endif
flag(TID,j) = true;
#pragma omp flush
}
}
if (TID==nthread-1) { /* if on right boundary, copy top right corner value
to bottom left corner to create dependency and signal completion */
ARRAY(0,0) = -ARRAY(m-1,n-1);
#if SYNCHRONOUS
while (flag(0,0) == false) {
#pragma omp flush
}
flag(0,0) = false;
#else
#pragma omp flush
flag(0,0) = true;
#endif
#pragma omp flush
}
} /* end of iterations */
#pragma omp barrier
#pragma omp master
{
pipeline_time = wtime() - pipeline_time;
}
} /* end of OPENMP parallel region */
/*******************************************************************************
** Analyze and output results.
********************************************************************************/
/* verify correctness, using top right value; */
corner_val = (double)((iterations+1)*(n+m-2));
if (fabs(ARRAY(m-1,n-1)-corner_val)/corner_val > epsilon) {
printf("ERROR: checksum %lf does not match verification value %lf\n",
ARRAY(m-1,n-1), corner_val);
exit(EXIT_FAILURE);
}
#if VERBOSE
printf("Solution validates; verification value = %lf\n", corner_val);
printf("Point-to-point synchronizations/s: %lf\n",
((float)((n-1)*(nthread-1)))/(avgtime));
#else
printf("Solution validates\n");
#endif
avgtime = pipeline_time/iterations;
/* flip the sign of the execution time to indicate cheating */
if (grp>1) avgtime *= -1.0;
printf("Rate (MFlops/s): %lf Avg time (s): %lf\n",
1.0E-06 * 2 * ((double)((m-1)*(n-1)))/avgtime, avgtime);
exit(EXIT_SUCCESS);
}
|
toimg.c | /* Copyright 2013-2018 The Regents of the University of California.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* Authors:
* 2013, 2015 Martin Uecker <uecker@eecs.berkeley.edu>
* 2015, 2018 Jon Tamir <jtamir@eecs.berkeley.edu>
*/
#include <stdlib.h>
#include <assert.h>
#include <stdio.h>
#include <stdint.h>
#include <strings.h>
#include <complex.h>
#include <stdbool.h>
#include <math.h>
#include "num/multind.h"
#include "num/init.h"
#include "num/flpmath.h"
#include "misc/misc.h"
#include "misc/debug.h"
#include "misc/mmio.h"
#include "misc/png.h"
#include "misc/dicom.h"
#include "misc/opts.h"
#ifndef DIMS
#define DIMS 16
#endif
#ifndef CFL_SIZE
#define CFL_SIZE sizeof(complex float)
#endif
static const char usage_str[] = "[-h] <input> <output_prefix>";
static const char help_str[] = "Create magnitude images as png or proto-dicom.\n"
"The first two non-singleton dimensions will\n"
"be used for the image, and the other dimensions\n"
"will be looped over.\n";
// from view:src/draw.c
static double clamp(double a, double b, double x)
{
return (x < a) ? a : ((x > b) ? b : x);
}
static double windowing(double g, double a, double b, double x)
{
return pow(clamp(0., 1., (x - a) / (b - a)), g);
}
static void toimg(bool dicom, bool use_windowing, const char* name, long inum, float gamma, float contrast, float window, float scale, long h, long w, const complex float* data)
{
int len = strlen(name);
assert(len >= 1);
int nr_bytes = dicom ? 2 : 3;
unsigned char (*buf)[h][w][nr_bytes] = TYPE_ALLOC(unsigned char[h][w][nr_bytes]);
float max_val = dicom ? 65535. : 255.;
for (int i = 0; i < h; i++) {
for (int j = 0; j < w; j++) {
double val = cabsf(data[j * h + i]) / scale;
unsigned int value = (unsigned int)(max_val * (use_windowing ? windowing(gamma, contrast, window, val) : val));
if (!dicom) {
(*buf)[i][j][0] = value;
(*buf)[i][j][1] = value;
(*buf)[i][j][2] = value;
} else {
(*buf)[i][j][0] = (value >> 0) & 0xFF;
(*buf)[i][j][1] = (value >> 8) & 0xFF;
}
}
}
(dicom ? dicom_write : png_write_rgb24)(name, w, h, inum, &(*buf)[0][0][0]);
free(buf);
}
static void toimg_stack(const char* name, bool dicom, bool single_scale, bool use_windowing, float gamma, float contrast, float window, const long dims[DIMS], const complex float* data)
{
long data_size = md_calc_size(DIMS, dims);
long sq_dims[DIMS] = { [0 ... DIMS - 1] = 1 };
int l = 0;
for (int i = 0; i < DIMS; i++)
if (1 != dims[i])
sq_dims[l++] = dims[i];
float max = 0.;
for (long i = 0; i < data_size; i++)
max = MAX(cabsf(data[i]), max);
int len = strlen(name);
assert(len >= 1);
long num_imgs = md_calc_size(DIMS - 2, sq_dims + 2);
long img_size = md_calc_size(2, sq_dims);
debug_printf(DP_INFO, "Writing %d image(s)...", num_imgs);
#pragma omp parallel for
for (long i = 0; i < num_imgs; i++) {
char name_i[len + 10]; // extra space for ".0000.png"
if (num_imgs > 1)
sprintf(name_i, "%s-%04ld.%s", name, i, dicom ? "dcm" : "png");
else
sprintf(name_i, "%s.%s", name, dicom ? "dcm" : "png");
float scale = 0.;
if (use_windowing)
scale = md_znorm(2, sq_dims, data + i * img_size) / md_calc_size(2, sq_dims);
else if (single_scale)
scale = max;
else
for (long j = 0; j < md_calc_size(2, sq_dims); j++)
scale = MAX(cabsf(data[i * img_size + j]), scale);
if (0. == scale)
scale = 1.;
toimg(dicom, use_windowing, name_i, i, gamma, contrast, window, scale, sq_dims[0], sq_dims[1], data + i * img_size);
}
debug_printf(DP_INFO, "done.\n", num_imgs);
}
int main_toimg(int argc, char* argv[])
{
float gamma = 1.;
float contrast = 0.;
float window = 750.;
bool use_windowing = false;
bool single_scale = true;
bool dicom = false;
const struct opt_s opts[] = {
OPT_FLOAT('g', &gamma, "gamma", "gamma level"),
OPT_FLOAT('c', &contrast, "contrast", "contrast level"),
OPT_FLOAT('w', &window, "window", "window level"),
OPT_SET('d', &dicom, "write to dicom format (deprecated, use extension .dcm)"),
OPT_CLEAR('m', &single_scale, "re-scale each image"),
OPT_SET('W', &use_windowing, "use dynamic windowing"),
};
cmdline(&argc, argv, 2, 2, usage_str, help_str, ARRAY_SIZE(opts), opts);
num_init();
char* ext = rindex(argv[2], '.');
if (NULL != ext) {
assert(!dicom);
if (0 == strcmp(ext, ".dcm"))
dicom = true;
else
if (0 != strcmp(ext, ".png"))
error("Unknown file extension.");
*ext = '\0';
}
long dims[DIMS];
complex float* data = load_cfl(argv[1], DIMS, dims);
toimg_stack(argv[2], dicom, single_scale, use_windowing, gamma, contrast, window, dims, data);
unmap_cfl(DIMS, dims, data);
return 0;
}
|
kmclight.h | /*
* Copyright 2009-2011 The VOTCA Development Team (http://www.votca.org)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*vector<Node*>
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
#ifndef __VOTCA_KMC_LIGHT_H
#define __VOTCA_KMC_LIGHT_H
// #include <votca/kmc/vssmgroup.h>
#include <vector>
// #include <map>
#include <iostream>
#include <string>
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <votca/tools/vec.h>
#include <votca/tools/statement.h>
#include <votca/tools/database.h>
#include <votca/tools/tokenizer.h>
#include <votca/tools/globals.h>
#include <votca/tools/random2.h>
// #include "node.h"
using namespace std;
namespace votca { namespace kmc {
typedef votca::tools::vec myvec;
struct EventLight
{
// EventLight() : dr(3) {}
int destination;
double rate;
votca::tools::vec dr;
};
class NodeLight
{
public:
int id;
int occupied;
int injectable;
double escaperate;
double occupationtime;
vector<EventLight> event;
double EscapeRate();
// double CurrentEscapeRate(NodeLight node2);
// void Jump(NodeLight node2);
void AddEventLight(int seg2, double rate12, myvec dr);
void InitEscapeRate();
};
void NodeLight::AddEventLight(int seg2, double rate12, myvec dr)
{
EventLight newEventLight;
newEventLight.destination = seg2;
newEventLight.rate = rate12;
newEventLight.dr = dr;
this->event.push_back(newEventLight);
}
void NodeLight::InitEscapeRate()
{
double newEscapeRate = 0;
for(unsigned int i=0; i<this->event.size();i++)
{
newEscapeRate += this->event[i].rate;
}
this->escaperate = newEscapeRate;
// cout << "Escape rate for segment " << this->id << " was set to " << newEscapeRate << endl;
}
double NodeLight::EscapeRate()
{
return escaperate;
}
class ChargecarrierLight
{
public:
int position;
int id;
NodeLight *node;
myvec dr_travelled;
};
void progressbarLight(double fraction)
{
int totalbars = 50;
std::cout << "\r";
for(double bars=0; bars<double(totalbars); bars++)
{
if(bars<=fraction*double(totalbars))
{
std::cout << "|";
}
else
{
std::cout << "-";
}
}
std::cout << " " << int(fraction*1000)/10. <<" % ";
std::cout << std::flush;
if(fraction*100 == 100)
{
std::cout << std::endl;
}
}
int OMPinfoLight()
{
int nthreads=1, tid=0, procs, inpar=0;
printf("\n||\n|| openMP PARALLEL COMPUTATION STATUS:\n");
#pragma omp parallel private(tid)
{
# ifdef _OPENMP
tid = omp_get_thread_num();
if (tid == 0)
{
procs = omp_get_num_procs();
nthreads = omp_get_num_threads();
inpar = omp_in_parallel();
printf("|| Number of processors = %d\n", procs);
printf("|| Number of threads = %d\n", nthreads);
}
# endif
if (tid == 0)
{
printf("|| In parallel? = %d\n||\n", inpar);
}
}
return nthreads;
}
class KMCLight : public KMCCalculator
{
public:
KMCLight() {};
~KMCLight() {};
void Initialize(const char *filename, Property *options );
bool EvaluateFrame();
protected:
vector<NodeLight*> LoadGraph();
vector<double> RunVSSM(vector<NodeLight*> node, double runtime, unsigned int numberofcharges, votca::tools::Random2 *RandomVariable);
void WriteOcc(vector<double> occP, vector<NodeLight*> node);
// map<int , node_t *> _nodes_lookup;
// vector<node_t *> _nodes;
// map<int , node_t *> _injection_lookup;
// vector<node_t *> _injection;
string _injection_name;
double _runtime;
// double _dt;
int _seed;
int _numberofcharges;
int _allowparallel;
double _fieldX;
double _fieldY;
double _fieldZ;
string _filename; // HACK
};
void KMCLight::Initialize(const char *filename, Property *options )
{
if (options->exists("options.kmcmultiple.runtime")) {
_runtime = options->get("options.kmcmultiple.runtime").as<double>();
}
else {
throw runtime_error("Error in kmcmultiple: total run time is not provided");
}
// if (options->exists("options.kmcmultiple.outputtime")) {
// _dt = options->get("options.kmcmultiple.outputtime").as<double>();
// }
// else {
// throw runtime_error("Error in kmcmultiple: output frequency is not provided");
// }
if (options->exists("options.kmcmultiple.seed")) {
_seed = options->get("options.kmcmultiple.seed").as<int>();
}
else {
throw runtime_error("Error in kmcmultiple: seed is not provided");
}
if (options->exists("options.kmcmultiple.numberofcharges")) {
_numberofcharges = options->get("options.kmcmultiple.numberofcharges").as<int>();
}
else {
throw runtime_error("Error in kmcmultiple: number of charges is not provided");
}
if (options->exists("options.kmcmultiple.injection")) {
_injection_name = options->get("options.kmcmultiple.injection").as<string>();
}
else {
throw runtime_error("Error in kmcmultiple: injection pattern is not provided");
}
if (options->exists("options.kmcmultiple.allowparallel")) {
_allowparallel = options->get("options.kmcmultiple.allowparallel").as<int>();
}
else {
cout << "WARNING in kmcmultiple: You did not specify if parallel computation is allowed. It will be disabled." << endl;
_allowparallel = 0;
}
if (options->exists("options.kmcmultiple.fieldX")) {
_fieldX = options->get("options.kmcmultiple.fieldX").as<double>();
}
else {
_fieldX = 0;
}
if (options->exists("options.kmcmultiple.fieldY")) {
_fieldY = options->get("options.kmcmultiple.fieldY").as<double>();
}
else {
_fieldY = 0;
}
if (options->exists("options.kmcmultiple.fieldZ")) {
_fieldZ = options->get("options.kmcmultiple.fieldZ").as<double>();
}
else {
_fieldZ = 0;
}
_filename = filename;
//cout << _seed << endl;
//srand(_seed);
//votca::tools::Random::init(rand(), rand(), rand(), rand());
}
vector<NodeLight*> KMCLight::LoadGraph()
{
string injectionpattern = "*";
vector<NodeLight*> node;
// Load nodes
votca::tools::Database db;
db.Open( _filename );
if(verbose >= 1) {cout << "LOADING GRAPH" << endl << "database file: " << _filename << endl; }
votca::tools::Statement *stmt = db.Prepare("SELECT id-1, name FROM segments;");
int i=0;
while (stmt->Step() != SQLITE_DONE)
{
NodeLight *newNodeLight = new NodeLight();
node.push_back(newNodeLight);
int newid = stmt->Column<int>(0);
string name = stmt->Column<string>(1);
node[i]->id = newid;
if (votca::tools::wildcmp(injectionpattern.c_str(), name.c_str()))
{
node[i]->injectable = 1;
}
else
{
node[i]->injectable = 0;
}
i++;
}
delete stmt;
if(verbose >= 1) { cout << "segments: " << node.size() << endl; }
// Load pairs and rates
int numberofpairs = 0;
stmt = db.Prepare("SELECT seg1-1 AS 'segment1', seg2-1 AS 'segment2', rate12e AS 'rate', drX, drY, drZ FROM pairs UNION SELECT seg2-1 AS 'segment1', seg1-1 AS 'segment2', rate21e AS 'rate', -drX AS 'drX', -drY AS 'drY', -drZ AS 'drZ' FROM pairs ORDER BY segment1;");
while (stmt->Step() != SQLITE_DONE)
{
int seg1 = stmt->Column<int>(0);
int seg2 = stmt->Column<int>(1);
double rate12 = stmt->Column<double>(2);
myvec dr = myvec(stmt->Column<double>(3), stmt->Column<double>(4), stmt->Column<double>(5));
node[seg1]->AddEventLight(seg2,rate12,dr);
numberofpairs ++;
}
delete stmt;
if(verbose >= 1) { cout << "pairs: " << numberofpairs/2 << endl; }
// Calculate initial escape rates
for(unsigned int i=0; i<node.size(); i++)
{
node[i]->InitEscapeRate();
}
return node;
}
void ResetForbiddenLight(vector<int> &forbiddenid)
{
forbiddenid.clear();
}
void AddtForbiddenLight(int id, vector<int> &forbiddenid)
{
forbiddenid.push_back(id);
}
int ForbiddenLight(int id, vector<int> forbiddenlist)
{
// cout << "forbidden list has " << forbiddenlist.size() << " entries" << endl;
int forbidden = 0;
for (unsigned int i=0; i< forbiddenlist.size(); i++)
{
if(id == forbiddenlist[i])
{
forbidden = 1;
// cout << "ID " << id << " has been found as element " << i << " (" << forbiddenlist[i]+1<< ") in the forbidden list." << endl;
break;
}
}
return forbidden;
}
int Surrounded(NodeLight* node, vector<int> forbiddendests)
{
//if(node->event.size() == forbiddendests.size())
//{
// return 1;
//}
//else
//{
// return 0;
//}
int surrounded = 1;
for(unsigned int i=0; i<node->event.size(); i++)
{
int thisevent_possible = 1;
for(unsigned int j=0; j<forbiddendests.size(); j++)
{
if(node->event[i].destination == forbiddendests[j])
{
thisevent_possible = 0;
break;
}
}
if(thisevent_possible == 1)
{
surrounded = 0;
// cout << "NOT SURROUNDED, POSSIBLE EVENT: " << node->id+1 << "->" << node->event[i].destination+1 << endl;
break;
}
}
return surrounded;
}
void printtimeLight(int seconds_t)
{
int seconds = seconds_t;
int minutes = 0;
int hours = 0;
while(seconds / 60 >= 1)
{
seconds -= 60;
minutes += 1;
}
while(minutes / 60 >= 1)
{
minutes -= 60;
hours += 1;
}
char buffer [50];
int n = sprintf(buffer, "%d:%02d:%02d",hours,minutes,seconds);
printf("%s",buffer,n);
}
vector<double> KMCLight::RunVSSM(vector<NodeLight*> node, double runtime, unsigned int numberofcharges, votca::tools::Random2 *RandomVariable)
{
int tid = 0;
# ifdef _OPENMP
tid = omp_get_thread_num();
# endif
int realtime_start = time(NULL);
if(tid == 0)
{
cout << endl << "Algorithm: VSSM for Multiple Charges" << endl;
cout << "number of charges: " << numberofcharges << endl;
cout << "number of nodes: " << node.size() << endl;
}
if(numberofcharges > node.size())
{
throw runtime_error("ERROR in kmcmultiple: specified number of charges is greater than the number of nodes. This conflicts with single occupation.");
}
double outputfrequency = runtime/100;
vector<double> occP(node.size(),0.);
// Injection
vector< ChargecarrierLight* > carrier;
for (unsigned int i = 0; i < numberofcharges; i++)
{
ChargecarrierLight *newCharge = new ChargecarrierLight;
newCharge->id = i;
newCharge->node = node[RandomVariable->rand_uniform_int(node.size())];
while(newCharge->node->occupied == 1 || newCharge->node->injectable != 1)
{ // maybe already occupied? or maybe not injectable?
newCharge->node = node[RandomVariable->rand_uniform_int(node.size())];
}
newCharge->node->occupied = 1;
newCharge->dr_travelled = myvec(0,0,0);
if(tid == 0) {cout << "starting position for charge " << i+1 << ": segment " << newCharge->node->id+1 << endl; }
carrier.push_back(newCharge);
}
double simtime = 0.;
int step = 0;
double nextoutput = outputfrequency;
progressbarLight(0.);
vector<int> forbiddennodes;
vector<int> forbiddendests;
while(simtime < runtime)
{
double cumulated_rate = 0;
for(unsigned int i=0; i<numberofcharges; i++)
{
cumulated_rate += carrier[i]->node->EscapeRate();
}
if(cumulated_rate == 0)
{ // this should not happen: no possible jumps defined for a node
throw runtime_error("ERROR in kmcmultiple: Incorrect rates in the database file. All the escape rates for the current setting are 0.");
}
// go forward in time
double dt = 0;
double rand_u = 1-RandomVariable->rand_uniform();
while(rand_u == 0)
{
cout << "WARNING: encountered 0 as a random variable! New try." << endl;
rand_u = 1-RandomVariable->rand_uniform();
}
dt = -1 / cumulated_rate * log(rand_u);
simtime += dt;
if(verbose >= 1 && tid == 0) {cout << "simtime += " << dt << endl << endl;}
step += 1;
for(unsigned int i=0; i<numberofcharges; i++)
{
carrier[i]->node->occupationtime += dt;
}
ResetForbiddenLight(forbiddennodes);
int level1step = 0;
while(level1step == 0)
// LEVEL 1
{
// determine which electron will escape
NodeLight* do_oldnode;
NodeLight* do_newnode;
ChargecarrierLight* do_affectedcarrier;
double u = 1 - RandomVariable->rand_uniform();
for(unsigned int i=0; i<numberofcharges; i++)
{
u -= carrier[i]->node->EscapeRate()/cumulated_rate;
if(u <= 0)
{
do_oldnode = carrier[i]->node;
do_affectedcarrier = carrier[i];
break;
}
do_oldnode = carrier[i]->node;
do_affectedcarrier = carrier[i];
}
double maxprob = 0.;
double newprob = 0.;
myvec dr;
if(verbose >= 1 && tid == 0) {cout << "Charge number " << do_affectedcarrier->id+1 << " which is sitting on segment " << do_oldnode->id+1 << " will escape!" << endl ;}
if(ForbiddenLight(do_oldnode->id, forbiddennodes) == 1) {continue;}
// determine where it will jump to
ResetForbiddenLight(forbiddendests);
while(true)
{
// LEVEL 2
if(verbose >= 1 && tid == 0) {cout << "There are " << do_oldnode->event.size() << " possible jumps for this charge:"; }
do_newnode = NULL;
u = 1 - RandomVariable->rand_uniform();
for(unsigned int j=0; j<do_oldnode->event.size(); j++)
{
if(ForbiddenLight(do_oldnode->event[j].destination, forbiddendests) == 1)
{ // directly skip forbidden events
if(verbose >= 1 && tid == 0) { cout << " [" << do_oldnode->event[j].destination+1 << " FORBIDDEN]" ; }
continue;
}
if(verbose >= 1 && tid == 0) { cout << " " << do_oldnode->event[j].destination+1 ; }
u -= do_oldnode->event[j].rate/do_oldnode->EscapeRate();
if(u <= 0)
{
do_newnode = node[do_oldnode->event[j].destination];
dr = do_oldnode->event[j].dr;
break;
}
do_newnode = node[do_oldnode->event[j].destination];
dr = do_oldnode->event[j].dr;
}
if(do_newnode == NULL)
{
if(verbose >= 1 && tid == 0) {cout << endl << "NodeLight " << do_oldnode->id+1 << " is SURROUNDED by forbidden destinations and zero rates. Adding it to the list of forbidden nodes. After that: selection of a new escape node." << endl; }
AddtForbiddenLight(do_oldnode->id, forbiddennodes);
int nothing=0;
cin >> nothing;
break; // select new escape node (ends level 2 but without setting level1step to 1)
}
if(verbose >= 1 && tid == 0) {cout << endl << "Selected jump: " << do_newnode->id+1 << endl; }
// if the new segment is unoccupied: jump; if not: nothing??
if(do_newnode->occupied == 1)
{
if(Surrounded(do_oldnode, forbiddendests) == 1)
{
if(verbose >= 1 && tid == 0) {cout << "NodeLight " << do_oldnode->id+1 << " is SURROUNDED by forbidden destinations. Adding it to the list of forbidden nodes. After that: selection of a new escape node." << endl; }
AddtForbiddenLight(do_oldnode->id, forbiddennodes);
break; // select new escape node (ends level 2 but without setting level1step to 1)
}
if(verbose >= 1 && tid == 0) {cout << "Selected segment: " << do_newnode->id+1 << " is already OCCUPIED. Added to forbidden list." << endl << endl;}
AddtForbiddenLight(do_newnode->id, forbiddendests);
if(verbose >= 1 && tid == 0) {cout << "Now choosing different hopping destination." << endl; }
continue; // select new destination
}
else
{
do_newnode->occupied = 1;
do_oldnode->occupied = 0;
do_affectedcarrier->node = do_newnode;
do_affectedcarrier->dr_travelled += dr;
level1step = 1;
if(verbose >= 1 && tid == 0) {cout << "Charge has jumped to segment: " << do_newnode->id+1 << "." << endl;}
// cout << "old node: " << do_oldnode->id+1 << ", occupation: " << do_oldnode->occupied << endl;
// cout << "new node: " << do_newnode->id+1 << ", occupation: " << do_newnode->occupied << endl;
break; // this ends LEVEL 2 , so that the time is updated and the next MC step started
}
if(verbose >= 1 && tid == 0) {cout << "." << endl;}
// END LEVEL 2
}
// END LEVEL 1
}
if(simtime > nextoutput && tid == 0)
{
nextoutput = simtime + outputfrequency;
progressbarLight(simtime/runtime);
cout << " remaining: ";
printtimeLight(int((runtime/simtime-1) * (int(time(NULL)) - realtime_start)));
}
// cout << "step " << step << endl;
}
progressbarLight(1.);
// calculate occupation probabilities from occupation times
for(unsigned int j=0; j<node.size(); j++)
{
occP[j] = node[j]->occupationtime / simtime;
}
if (tid == 0)
{
cout << endl << "finished KMC simulation after " << step << " steps." << endl;
cout << "runtime: ";
printtime(time(NULL) - realtime_start);
myvec dr_travelled = myvec (0,0,0);
cout << endl << "Average velocities (m/s): " << endl;
for(unsigned int i=0; i<numberofcharges; i++)
{
//cout << std::scientific << " charge " << i+1 << ": " << carrier[i]->dr_travelled/simtime*1e-9 << endl;
cout << std::scientific << " charge " << i+1 << ": " << carrier[i]->dr_travelled/simtime << endl;
dr_travelled += carrier[i]->dr_travelled;
}
dr_travelled /= numberofcharges;
//cout << std::scientific << " Overall average velocity (m/s): " << dr_travelled/simtime*1e-9 << endl;
cout << std::scientific << " Overall average velocity (m/s): " << dr_travelled/simtime << endl;
cout << endl << "Distances travelled (m): " << endl;
for(unsigned int i=0; i<numberofcharges; i++)
{
cout << std::scientific << " charge " << i+1 << ": " << carrier[i]->dr_travelled << endl;
}
// calculate mobilities
double absolute_field = sqrt(_fieldX*_fieldX + _fieldY*_fieldY + _fieldZ*_fieldZ);
double average_mobilityZ = 0;
if (absolute_field != 0)
{
cout << endl << "Mobilities (cm^2/Vs): " << endl;
for(unsigned int i=0; i<numberofcharges; i++)
{
//myvec velocity = carrier[i]->dr_travelled/simtime*1e-9;
myvec velocity = carrier[i]->dr_travelled/simtime;
double absolute_velocity = sqrt(velocity.x()*velocity.x() + velocity.y()*velocity.y() + velocity.z()*velocity.z());
//cout << std::scientific << " charge " << i+1 << ": mu=" << absolute_velocity/absolute_field*1E4 << endl;
cout << std::scientific << " charge " << i+1 << ": muZ=" << velocity.z()/_fieldZ*1E4 << endl;
average_mobilityZ += velocity.z()/_fieldZ*1E4;
}
average_mobilityZ /= numberofcharges;
cout << std::scientific << " Overall average z-mobility <muZ>=" << average_mobilityZ << endl;
}
cout << endl;
}
return occP;
}
void KMCLight::WriteOcc(vector<double> occP, vector<NodeLight*> node)
{
votca::tools::Database db;
cout << "Opening for writing " << _filename << endl;
db.Open(_filename);
db.Exec("BEGIN;");
votca::tools::Statement *stmt = db.Prepare("UPDATE segments SET occPe = ? WHERE id = ?;"); // electron occ. prob., check (think about) this
for(unsigned int i=0; i<node.size(); ++i)
{
stmt->Reset();
stmt->Bind(1, occP[i]);
stmt->Bind(2, node[i]->id+1);
stmt->Step();
}
db.Exec("END;");
delete stmt;
}
bool KMCLight::EvaluateFrame()
{
std::cout << "-----------------------------------" << std::endl;
std::cout << " KMC FOR MULTIPLE CHARGES" << std::endl;
std::cout << "-----------------------------------" << std::endl << std::endl;
unsigned int numberofthreads = 1;
if(_allowparallel == 1)
{
numberofthreads = OMPinfoLight();
}
// Initialise random number generator
// each thread i in a parallel computation needs is own set RandomVariable[i]
if(verbose >= 1) { cout << endl << "Initialising random number generator" << endl; }
srand(_seed); // srand expects any integer in order to initialise the random number generator
vector< votca::tools::Random2* > RandomVariable;
for (unsigned int i = 0; i < numberofthreads; i++)
{
votca::tools::Random2 *newRandomVariable = new votca::tools::Random2();
RandomVariable.push_back(newRandomVariable);
RandomVariable[i]->init(rand(), rand(), rand(), rand());
}
// VSSM KMC algorithm
//cout << endl << "KMC SIMULATION" << endl;
cout << "number of threads: " << numberofthreads << endl;
vector<NodeLight*> node;
node = KMCLight::LoadGraph();
vector<double> occP(node.size(),0.);
vector< vector< double > > occPOneRun ( numberofthreads, vector<double> ( node.size(), 0. ) );
# ifdef _OPENMP
(void) omp_set_num_threads(numberofthreads);
# endif
#pragma omp parallel private(node)
{
node = KMCLight::LoadGraph();
int thread = 0;
# ifdef _OPENMP
thread = omp_get_thread_num();
# endif
occPOneRun[thread] = KMCLight::RunVSSM(node, _runtime/numberofthreads, _numberofcharges, RandomVariable[thread]);
}
// get mean of multiple runs
for(unsigned int j=0; j<occP.size();j++)
{
for(unsigned int thread=0; thread<numberofthreads; thread++)
{
occP[j] += occPOneRun[thread][j];
}
occP[j] /= numberofthreads;
}
// output occupation probabilites
for(unsigned int thread=0; thread<numberofthreads; thread++)
{
for(unsigned int j=0; j<occPOneRun[thread].size();j++)
{
if(occPOneRun[thread][j] > 0)
{
// cout << "[thread " << thread+1 << "] "<<"occupation probability " << node[j]->id+1 << ": " << occPOneRun[thread][j] << endl;
}
}
}
// output occupation
cout << endl;
for(unsigned int j=0; j<occP.size();j++)
{
if(occP[j] > 0)
{
// cout << "occupation probability " << node[j]->id+1 << ": " << occP[j] << endl;
}
}
// write occupation probabilites
KMCLight::WriteOcc(occP, node);
return true;
}
}}
#endif /* __VOTCA_KMC_LIGHT_H */
|
Example_mem_model.3.c | /*
* @@name: mem_model.3c
* @@type: C
* @@compilable: yes
* @@linkable: yes
* @@expect: rt-error
* @@version: omp_3.1
*/
#include <omp.h>
#include <stdio.h>
int data0 = 0, data1 = 0;
int main()
{
int flag=0;
#pragma omp parallel num_threads(3)
{
if(omp_get_thread_num()==0)
{
data0 = 17;
#pragma omp flush
/* Set flag to release thread 1 */
#pragma omp atomic update
flag++;
/* Flush of flag is implied by the atomic directive */
}
else if(omp_get_thread_num()==1)
{
int flag_val = 0;
/* Loop until we see that flag reaches 1*/
while(flag_val < 0)
{
#pragma omp atomic read
flag_val = flag;
}
#pragma omp flush(data0)
/* data0 is 17 here */
printf("Thread 1 awoken (data0 = %d)\n", data0);
data1 = 42;
#pragma omp flush(data1)
/* Set flag to release thread 2 */
#pragma omp atomic update
flag++;
/* Flush of flag is implied by the atomic directive */
}
else if(omp_get_thread_num()==2)
{
int flag_val = 0;
/* Loop until we see that flag reaches 2 */
while(flag_val < 2)
{
#pragma omp atomic read
flag_val = flag;
}
#pragma omp flush(data0,data1)
/* there is a data race here; data0 is 17 and data1 is undefined */
printf("Thread 2 awoken (data0 = %d, data1 = %d)\n", data0, data1);
}
}
return 0;
}
|
apply_bcs_sommerfeld.h | // Boundary condtion driver routine: Apply BCs to all
// boundary faces of the 3D numerical domain, filling in the
// outer boundary ghost zone layers, starting with the innermost
// layer and working outward.
#include "sommerfeld_params.h"
#include "radial_derivative.h"
#include <string.h>
void apply_bcs_sommerfeld(const paramstruct *restrict params, REAL *restrict xx[3],
const bc_struct *restrict bcstruct, const int NUM_GFS,
const int8_t *restrict gfs_parity, REAL *restrict gfs,
REAL *restrict rhs_gfs) {
#pragma omp parallel for
for(int which_gf=0;which_gf<NUM_GFS;which_gf++) {
REAL var_at_infinity = evolgf_at_inf[which_gf];
REAL radpower = evolgf_radpower[which_gf];
REAL char_speed = evolgf_speed[which_gf];
#include "RELATIVE_PATH__set_Cparameters.h" /* Header file containing correct #include for set_Cparameters.h;
* accounting for the relative path */
for(int which_gz = 0; which_gz < NGHOSTS; which_gz++) {
for(int pt=0;pt<bcstruct->num_ob_gz_pts[which_gz];pt++) {
int i0 = bcstruct->outer[which_gz][pt].outer_bc_dest_pt.i0;
int i1 = bcstruct->outer[which_gz][pt].outer_bc_dest_pt.i1;
int i2 = bcstruct->outer[which_gz][pt].outer_bc_dest_pt.i2;
int8_t FACEX0 = bcstruct->outer[which_gz][pt].FACEi0;
int8_t FACEX1 = bcstruct->outer[which_gz][pt].FACEi1;
int8_t FACEX2 = bcstruct->outer[which_gz][pt].FACEi2;
int8_t FACEXi[3] = {FACEX0, FACEX1, FACEX2};
// Initialize derivatives to crazy values, to ensure that
// we will notice in case they aren't set properly.
REAL r = 1e100;
REAL dxU_fdD = 1e100;
contraction_term(params, which_gf, gfs, xx, FACEXi, i0, i1, i2, &r, &dxU_fdD);
REAL invr = 1./r;
REAL source_rhs = -char_speed*(dxU_fdD + invr*(gfs[IDX4S(which_gf,i0,i1,i2)] - var_at_infinity));
rhs_gfs[IDX4S(which_gf,i0,i1,i2)] = source_rhs;
/************* For radial falloff and the extrapolated k term *************/
if (radpower > 0) {
// Move one point away from gz point to compare pure advection to df/dt|interior
int i0_offset = i0+FACEX0;
int i1_offset = i1+FACEX1;
int i2_offset = i2+FACEX2;
// Initialize derivatives to crazy values, to ensure that
// we will notice in case they aren't set properly.
REAL r_offset = 1e100;
REAL dxU_fdD_offset = 1e100;
contraction_term(params, which_gf, gfs, xx, FACEXi, i0_offset, i1_offset, i2_offset, &r_offset, &dxU_fdD_offset);
REAL invr_offset = 1./r_offset;
// Pure advection
REAL extrap_rhs = char_speed*(dxU_fdD_offset + invr_offset*(gfs[IDX4S(which_gf,i0_offset,i1_offset,i2_offset)] - var_at_infinity));
// Take difference between pure advection and df/dt|interior
REAL aux = rhs_gfs[IDX4S(which_gf,i0_offset,i1_offset,i2_offset)] + extrap_rhs;
// Solve for k/(r_gz)^n+1 term
rhs_gfs[IDX4S(which_gf,i0,i1,i2)] += aux*pow(r_offset*invr,radpower);
}
}// END for(int pt=0;pt<num_ob_gz_pts[which_gz];pt++)
// Then apply INNER (parity) boundary conditions:
for(int pt=0;pt<bcstruct->num_ib_gz_pts[which_gz];pt++) {
const int i0dest = bcstruct->inner[which_gz][pt].inner_bc_dest_pt.i0;
const int i1dest = bcstruct->inner[which_gz][pt].inner_bc_dest_pt.i1;
const int i2dest = bcstruct->inner[which_gz][pt].inner_bc_dest_pt.i2;
const int i0src = bcstruct->inner[which_gz][pt].inner_bc_src_pt.i0;
const int i1src = bcstruct->inner[which_gz][pt].inner_bc_src_pt.i1;
const int i2src = bcstruct->inner[which_gz][pt].inner_bc_src_pt.i2;
const int8_t *prty= bcstruct->inner[which_gz][pt].parity;
// printf("%d\n",bcstruct->inner_bc_parity[which_gz][pt].parity[gfs_parity[which_gf]]);
gfs[IDX4S(which_gf,i0dest,i1dest,i2dest)] =
bcstruct->inner[which_gz][pt].parity[gfs_parity[which_gf]] * gfs[IDX4S(which_gf, i0src,i1src,i2src)];
}// END for(int pt=0;pt<num_ib_gz_pts[which_gz];pt++)
} // END for(int which_gz = 0; which_gz < NGHOSTS; which_gz++)
} // END for(int which_gf=0;which_gf<NUM_GFS;which_gf++)
} // END function
|
main.c | // C Compiler flag: -fopenmp
#include <stdio.h>
#include <omp.h>
#define N 20
int main(int argc, char *argv[])
{
int myid;
omp_set_dynamic(0); // запретить библиотеке openmp менять число потоков во время исполнения
omp_set_num_threads(3); // установить число потоков в 2
int threadsCount = omp_get_max_threads();
printf("%d\n",threadsCount);
#pragma omp parallel if(threadsCount > 1) private(myid, threadsCount)
{
myid = omp_get_thread_num();
threadsCount = omp_get_num_threads();
printf("Hello, It's parallel and I'm thread number %d from %d\n", myid, threadsCount);
}
omp_set_num_threads(1);
threadsCount = omp_get_max_threads();
#pragma omp parallel if(omp_get_num_threads() > 1) private(myid, threadsCount)
{
myid = omp_get_thread_num();
threadsCount = omp_get_num_threads();
printf("Hello, it's sequence and I'm thread number %d from %d\n", myid, threadsCount);
}
return 0;
}
|
convolutiondepthwise_3x3_fp16s.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void convdw3x3s1_fp16sa_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const __fp16* kernel = _kernel;
const __fp16* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
const __fp16 bias0 = bias ? bias[g] : 0.f;
const __fp16* kernel0 = kernel + g * 9;
__fp16* outptr0 = out;
__fp16* outptr1 = outptr0 + outw;
const __fp16* img0 = bottom_blob.channel(g);
const __fp16* r0 = img0;
const __fp16* r1 = img0 + w;
const __fp16* r2 = img0 + w * 2;
const __fp16* r3 = img0 + w * 3;
float16x4_t _k012x = vld1_f16(kernel0);
float16x4_t _k345x = vld1_f16(kernel0 + 3);
float16x4_t _k678x = vld1_f16(kernel0 + 6);
_k012x = vset_lane_f16(0.f, _k012x, 3);
_k345x = vset_lane_f16(0.f, _k345x, 3);
_k678x = vset_lane_f16(0.f, _k678x, 3);
float16x8_t _bias0 = vdupq_n_f16(bias0);
int i = 0;
for (; i + 1 < outh; i += 2)
{
int j = 0;
for (; j + 7 < outw; j += 8)
{
float16x8_t _r00 = vld1q_f16(r0);
float16x8_t _r10 = vld1q_f16(r1);
float16x8_t _r20 = vld1q_f16(r2);
float16x8_t _r30 = vld1q_f16(r3);
float16x8_t _r0n = vld1q_f16(r0 + 8);
float16x8_t _r1n = vld1q_f16(r1 + 8);
float16x8_t _r2n = vld1q_f16(r2 + 8);
float16x8_t _r3n = vld1q_f16(r3 + 8);
float16x8_t _r01 = vextq_f16(_r00, _r0n, 1);
float16x8_t _r11 = vextq_f16(_r10, _r1n, 1);
float16x8_t _r21 = vextq_f16(_r20, _r2n, 1);
float16x8_t _r31 = vextq_f16(_r30, _r3n, 1);
float16x8_t _r02 = vextq_f16(_r00, _r0n, 2);
float16x8_t _r12 = vextq_f16(_r10, _r1n, 2);
float16x8_t _r22 = vextq_f16(_r20, _r2n, 2);
float16x8_t _r32 = vextq_f16(_r30, _r3n, 2);
float16x8_t _sum0 = _bias0;
float16x8_t _sum1 = _bias0;
_sum0 = vfmaq_lane_f16(_sum0, _r00, _k012x, 0);
_sum0 = vfmaq_lane_f16(_sum0, _r01, _k012x, 1);
_sum0 = vfmaq_lane_f16(_sum0, _r02, _k012x, 2);
_sum1 = vfmaq_lane_f16(_sum1, _r10, _k012x, 0);
_sum1 = vfmaq_lane_f16(_sum1, _r11, _k012x, 1);
_sum1 = vfmaq_lane_f16(_sum1, _r12, _k012x, 2);
_sum0 = vfmaq_lane_f16(_sum0, _r10, _k345x, 0);
_sum0 = vfmaq_lane_f16(_sum0, _r11, _k345x, 1);
_sum0 = vfmaq_lane_f16(_sum0, _r12, _k345x, 2);
_sum1 = vfmaq_lane_f16(_sum1, _r20, _k345x, 0);
_sum1 = vfmaq_lane_f16(_sum1, _r21, _k345x, 1);
_sum1 = vfmaq_lane_f16(_sum1, _r22, _k345x, 2);
_sum0 = vfmaq_lane_f16(_sum0, _r20, _k678x, 0);
_sum0 = vfmaq_lane_f16(_sum0, _r21, _k678x, 1);
_sum0 = vfmaq_lane_f16(_sum0, _r22, _k678x, 2);
_sum1 = vfmaq_lane_f16(_sum1, _r30, _k678x, 0);
_sum1 = vfmaq_lane_f16(_sum1, _r31, _k678x, 1);
_sum1 = vfmaq_lane_f16(_sum1, _r32, _k678x, 2);
vst1q_f16(outptr0, _sum0);
vst1q_f16(outptr1, _sum1);
r0 += 8;
r1 += 8;
r2 += 8;
r3 += 8;
outptr0 += 8;
outptr1 += 8;
}
for (; j + 3 < outw; j += 4)
{
float16x4_t _r00 = vld1_f16(r0);
float16x4_t _r10 = vld1_f16(r1);
float16x4_t _r20 = vld1_f16(r2);
float16x4_t _r30 = vld1_f16(r3);
float16x4_t _r0n = vld1_f16(r0 + 4);
float16x4_t _r1n = vld1_f16(r1 + 4);
float16x4_t _r2n = vld1_f16(r2 + 4);
float16x4_t _r3n = vld1_f16(r3 + 4);
float16x4_t _r01 = vext_f16(_r00, _r0n, 1);
float16x4_t _r11 = vext_f16(_r10, _r1n, 1);
float16x4_t _r21 = vext_f16(_r20, _r2n, 1);
float16x4_t _r31 = vext_f16(_r30, _r3n, 1);
float16x4_t _r02 = vext_f16(_r00, _r0n, 2);
float16x4_t _r12 = vext_f16(_r10, _r1n, 2);
float16x4_t _r22 = vext_f16(_r20, _r2n, 2);
float16x4_t _r32 = vext_f16(_r30, _r3n, 2);
float16x4_t _sum0 = vget_low_f16(_bias0);
float16x4_t _sum1 = vget_low_f16(_bias0);
_sum0 = vfma_lane_f16(_sum0, _r00, _k012x, 0);
_sum0 = vfma_lane_f16(_sum0, _r01, _k012x, 1);
_sum0 = vfma_lane_f16(_sum0, _r02, _k012x, 2);
_sum1 = vfma_lane_f16(_sum1, _r10, _k012x, 0);
_sum1 = vfma_lane_f16(_sum1, _r11, _k012x, 1);
_sum1 = vfma_lane_f16(_sum1, _r12, _k012x, 2);
_sum0 = vfma_lane_f16(_sum0, _r10, _k345x, 0);
_sum0 = vfma_lane_f16(_sum0, _r11, _k345x, 1);
_sum0 = vfma_lane_f16(_sum0, _r12, _k345x, 2);
_sum1 = vfma_lane_f16(_sum1, _r20, _k345x, 0);
_sum1 = vfma_lane_f16(_sum1, _r21, _k345x, 1);
_sum1 = vfma_lane_f16(_sum1, _r22, _k345x, 2);
_sum0 = vfma_lane_f16(_sum0, _r20, _k678x, 0);
_sum0 = vfma_lane_f16(_sum0, _r21, _k678x, 1);
_sum0 = vfma_lane_f16(_sum0, _r22, _k678x, 2);
_sum1 = vfma_lane_f16(_sum1, _r30, _k678x, 0);
_sum1 = vfma_lane_f16(_sum1, _r31, _k678x, 1);
_sum1 = vfma_lane_f16(_sum1, _r32, _k678x, 2);
vst1_f16(outptr0, _sum0);
vst1_f16(outptr1, _sum1);
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
outptr0 += 4;
outptr1 += 4;
}
for (; j < outw; j++)
{
float16x4_t _r0 = vld1_f16(r0);
float16x4_t _r1 = vld1_f16(r1);
float16x4_t _r2 = vld1_f16(r2);
float16x4_t _r3 = vld1_f16(r3);
float16x4_t _sum0 = vmul_f16(_r0, _k012x);
_sum0 = vfma_f16(_sum0, _r1, _k345x);
_sum0 = vfma_f16(_sum0, _r2, _k678x);
float16x4_t _sum1 = vmul_f16(_r1, _k012x);
_sum1 = vfma_f16(_sum1, _r2, _k345x);
_sum1 = vfma_f16(_sum1, _r3, _k678x);
_sum0 = vset_lane_f16(bias0, _sum0, 3);
_sum1 = vset_lane_f16(bias0, _sum1, 3);
*outptr0 = (__fp16)vaddvq_f32(vcvt_f32_f16(_sum0));
*outptr1 = (__fp16)vaddvq_f32(vcvt_f32_f16(_sum1));
r0++;
r1++;
r2++;
r3++;
outptr0++;
outptr1++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr1 += outw;
}
for (; i < outh; i++)
{
int j = 0;
for (; j + 7 < outw; j += 8)
{
float16x8_t _r00 = vld1q_f16(r0);
float16x8_t _r10 = vld1q_f16(r1);
float16x8_t _r20 = vld1q_f16(r2);
float16x8_t _r0n = vld1q_f16(r0 + 8);
float16x8_t _r1n = vld1q_f16(r1 + 8);
float16x8_t _r2n = vld1q_f16(r2 + 8);
float16x8_t _r01 = vextq_f16(_r00, _r0n, 1);
float16x8_t _r11 = vextq_f16(_r10, _r1n, 1);
float16x8_t _r21 = vextq_f16(_r20, _r2n, 1);
float16x8_t _r02 = vextq_f16(_r00, _r0n, 2);
float16x8_t _r12 = vextq_f16(_r10, _r1n, 2);
float16x8_t _r22 = vextq_f16(_r20, _r2n, 2);
float16x8_t _sum0 = _bias0;
_sum0 = vfmaq_lane_f16(_sum0, _r00, _k012x, 0);
_sum0 = vfmaq_lane_f16(_sum0, _r01, _k012x, 1);
_sum0 = vfmaq_lane_f16(_sum0, _r02, _k012x, 2);
_sum0 = vfmaq_lane_f16(_sum0, _r10, _k345x, 0);
_sum0 = vfmaq_lane_f16(_sum0, _r11, _k345x, 1);
_sum0 = vfmaq_lane_f16(_sum0, _r12, _k345x, 2);
_sum0 = vfmaq_lane_f16(_sum0, _r20, _k678x, 0);
_sum0 = vfmaq_lane_f16(_sum0, _r21, _k678x, 1);
_sum0 = vfmaq_lane_f16(_sum0, _r22, _k678x, 2);
vst1q_f16(outptr0, _sum0);
r0 += 8;
r1 += 8;
r2 += 8;
outptr0 += 8;
}
for (; j + 3 < outw; j += 4)
{
float16x4_t _r00 = vld1_f16(r0);
float16x4_t _r10 = vld1_f16(r1);
float16x4_t _r20 = vld1_f16(r2);
float16x4_t _r0n = vld1_f16(r0 + 4);
float16x4_t _r1n = vld1_f16(r1 + 4);
float16x4_t _r2n = vld1_f16(r2 + 4);
float16x4_t _r01 = vext_f16(_r00, _r0n, 1);
float16x4_t _r11 = vext_f16(_r10, _r1n, 1);
float16x4_t _r21 = vext_f16(_r20, _r2n, 1);
float16x4_t _r02 = vext_f16(_r00, _r0n, 2);
float16x4_t _r12 = vext_f16(_r10, _r1n, 2);
float16x4_t _r22 = vext_f16(_r20, _r2n, 2);
float16x4_t _sum0 = vget_low_f16(_bias0);
_sum0 = vfma_lane_f16(_sum0, _r00, _k012x, 0);
_sum0 = vfma_lane_f16(_sum0, _r01, _k012x, 1);
_sum0 = vfma_lane_f16(_sum0, _r02, _k012x, 2);
_sum0 = vfma_lane_f16(_sum0, _r10, _k345x, 0);
_sum0 = vfma_lane_f16(_sum0, _r11, _k345x, 1);
_sum0 = vfma_lane_f16(_sum0, _r12, _k345x, 2);
_sum0 = vfma_lane_f16(_sum0, _r20, _k678x, 0);
_sum0 = vfma_lane_f16(_sum0, _r21, _k678x, 1);
_sum0 = vfma_lane_f16(_sum0, _r22, _k678x, 2);
vst1_f16(outptr0, _sum0);
r0 += 4;
r1 += 4;
r2 += 4;
outptr0 += 4;
}
for (; j < outw; j++)
{
float16x4_t _r0 = vld1_f16(r0);
float16x4_t _r1 = vld1_f16(r1);
float16x4_t _r2 = vld1_f16(r2);
float16x4_t _sum = vmul_f16(_r0, _k012x);
_sum = vfma_f16(_sum, _r1, _k345x);
_sum = vfma_f16(_sum, _r2, _k678x);
_sum = vset_lane_f16(bias0, _sum, 3);
*outptr0 = (__fp16)vaddvq_f32(vcvt_f32_f16(_sum));
r0++;
r1++;
r2++;
outptr0++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
}
}
static void convdw3x3s2_fp16sa_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const int tailstep = w - 2 * outw + w;
const __fp16* kernel = _kernel;
const __fp16* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
const __fp16 bias0 = bias ? bias[g] : 0.f;
const __fp16* kernel0 = kernel + g * 9;
__fp16* outptr = out;
const __fp16* img0 = bottom_blob.channel(g);
const __fp16* r0 = img0;
const __fp16* r1 = img0 + w;
const __fp16* r2 = img0 + w * 2;
float16x4_t _k012x = vld1_f16(kernel0);
float16x4_t _k345x = vld1_f16(kernel0 + 3);
float16x4_t _k678x = vld1_f16(kernel0 + 6);
_k012x = vset_lane_f16(0.f, _k012x, 3);
_k345x = vset_lane_f16(0.f, _k345x, 3);
_k678x = vset_lane_f16(0.f, _k678x, 3);
float16x8_t _bias0 = vdupq_n_f16(bias0);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 7 < outw; j += 8)
{
float16x8x2_t _r00 = vld2q_f16(r0);
float16x8x2_t _r10 = vld2q_f16(r1);
float16x8x2_t _r20 = vld2q_f16(r2);
float16x8x2_t _r0n = vld2q_f16(r0 + 16);
float16x8x2_t _r1n = vld2q_f16(r1 + 16);
float16x8x2_t _r2n = vld2q_f16(r2 + 16);
float16x8_t _r02 = vextq_f16(_r00.val[0], _r0n.val[0], 1);
float16x8_t _r12 = vextq_f16(_r10.val[0], _r1n.val[0], 1);
float16x8_t _r22 = vextq_f16(_r20.val[0], _r2n.val[0], 1);
float16x8_t _sum = _bias0;
_sum = vfmaq_lane_f16(_sum, _r00.val[0], _k012x, 0);
_sum = vfmaq_lane_f16(_sum, _r00.val[1], _k012x, 1);
_sum = vfmaq_lane_f16(_sum, _r02, _k012x, 2);
_sum = vfmaq_lane_f16(_sum, _r10.val[0], _k345x, 0);
_sum = vfmaq_lane_f16(_sum, _r10.val[1], _k345x, 1);
_sum = vfmaq_lane_f16(_sum, _r12, _k345x, 2);
_sum = vfmaq_lane_f16(_sum, _r20.val[0], _k678x, 0);
_sum = vfmaq_lane_f16(_sum, _r20.val[1], _k678x, 1);
_sum = vfmaq_lane_f16(_sum, _r22, _k678x, 2);
vst1q_f16(outptr, _sum);
r0 += 16;
r1 += 16;
r2 += 16;
outptr += 8;
}
for (; j + 3 < outw; j += 4)
{
float16x4x2_t _r00 = vld2_f16(r0);
float16x4x2_t _r10 = vld2_f16(r1);
float16x4x2_t _r20 = vld2_f16(r2);
float16x4x2_t _r0n = vld2_f16(r0 + 8);
float16x4x2_t _r1n = vld2_f16(r1 + 8);
float16x4x2_t _r2n = vld2_f16(r2 + 8);
float16x4_t _r02 = vext_f16(_r00.val[0], _r0n.val[0], 1);
float16x4_t _r12 = vext_f16(_r10.val[0], _r1n.val[0], 1);
float16x4_t _r22 = vext_f16(_r20.val[0], _r2n.val[0], 1);
float16x4_t _sum = vget_low_f16(_bias0);
_sum = vfma_lane_f16(_sum, _r00.val[0], _k012x, 0);
_sum = vfma_lane_f16(_sum, _r00.val[1], _k012x, 1);
_sum = vfma_lane_f16(_sum, _r02, _k012x, 2);
_sum = vfma_lane_f16(_sum, _r10.val[0], _k345x, 0);
_sum = vfma_lane_f16(_sum, _r10.val[1], _k345x, 1);
_sum = vfma_lane_f16(_sum, _r12, _k345x, 2);
_sum = vfma_lane_f16(_sum, _r20.val[0], _k678x, 0);
_sum = vfma_lane_f16(_sum, _r20.val[1], _k678x, 1);
_sum = vfma_lane_f16(_sum, _r22, _k678x, 2);
vst1_f16(outptr, _sum);
r0 += 8;
r1 += 8;
r2 += 8;
outptr += 4;
}
for (; j < outw; j++)
{
float16x4_t _r0 = vld1_f16(r0);
float16x4_t _r1 = vld1_f16(r1);
float16x4_t _r2 = vld1_f16(r2);
float16x4_t _sum = vmul_f16(_r0, _k012x);
_sum = vfma_f16(_sum, _r1, _k345x);
_sum = vfma_f16(_sum, _r2, _k678x);
_sum = vset_lane_f16(bias0, _sum, 3);
*outptr = (__fp16)vaddvq_f32(vcvt_f32_f16(_sum));
r0 += 2;
r1 += 2;
r2 += 2;
outptr++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
}
}
|
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] = 8;
tile_size[1] = 8;
tile_size[2] = 4;
tile_size[3] = 32;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
roc2[i][j][k] = 2.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
const double coef0 = -0.28472;
const double coef1 = 0.16000;
const double coef2 = -0.02000;
const double coef3 = 0.00254;
const double coef4 = -0.00018;
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 1) && (Nx >= 9) && (Ny >= 9) && (Nz >= 9)) {
for (t1=-1;t1<=Nt-1;t1++) {
lbp=ceild(t1+1,2);
ubp=min(floord(4*Nt+Nz-9,8),floord(4*t1+Nz-2,8));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(1,ceild(8*t2-Nz+9,4)),t1+1);t3<=min(floord(4*Nt+Ny-9,4),floord(4*t1+Ny-1,4));t3++) {
for (t4=max(max(ceild(t1-6,8),ceild(8*t2-Nz-19,32)),ceild(4*t3-Ny-19,32));t4<=min(min(floord(4*Nt+Nx-9,32),floord(4*t1+Nx-1,32)),floord(4*t3+Nx-9,32));t4++) {
for (t5=max(max(max(max(0,ceild(8*t2-Nz+5,4)),ceild(4*t3-Ny+5,4)),ceild(32*t4-Nx+5,4)),t1);t5<=min(min(min(Nt-1,t1+1),t3-1),8*t4+6);t5++) {
for (t6=max(max(8*t2,4*t5+4),-8*t1+8*t2+8*t5-7);t6<=min(min(8*t2+7,-8*t1+8*t2+8*t5),4*t5+Nz-5);t6++) {
for (t7=4*t3;t7<=min(4*t3+3,4*t5+Ny-5);t7++) {
lbv=max(32*t4,4*t5+4);
ubv=min(32*t4+31,4*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;
}
|
omp_parallel_firstprivate.c | <ompts:test>
<ompts:testdescription>Test which checks the omp parallel firstprivate directive.</ompts:testdescription>
<ompts:ompversion>3.0</ompts:ompversion>
<ompts:directive>omp parallel firstprivate</ompts:directive>
<ompts:dependences>omp for omp critical</ompts:dependences>
<ompts:testcode>
#include <stdio.h>
#include <stdlib.h>
#include "omp_testsuite.h"
//static int sum1 = 789;
int <ompts:testcode:functionname>omp_parallel_firstprivate</ompts:testcode:functionname>(FILE * logFile)
{
<ompts:orphan:vars>
int sum, num_threads,sum1;
</ompts:orphan:vars>
int known_sum;
sum = 0;
sum1=7;
num_threads = 0;
<ompts:orphan>
#pragma omp parallel <ompts:check>firstprivate(sum1)</ompts:check> <ompts:crosscheck>private(sum1)</ompts:crosscheck>
{
printf("sum1=%d\n",sum1);
int i;
#pragma omp for
for (i = 1; i < 1000; i++)
{
sum1 = sum1 + i;
} /*end of for*/
printf("after loop sum1=%d for thread %d\n",sum1, omp_get_thread_num());
#pragma omp critical
{
sum = sum + sum1;
num_threads++;
} /*end of critical*/
} /* end of parallel*/
</ompts:orphan>
known_sum = (999 * 1000) / 2 + 7 * num_threads;
return (known_sum == sum);
}
</ompts:testcode>
</ompts:test>
|
test.c | #include <omp.h>
#include <stdio.h>
#define N 1024
int A[N];
int B[N];
int C[N];
int main()
{
int i, errors;
for(i=0; i<N; i++) {
A[i] = i;
B[i] = i;
}
// map data A & B and move to
#pragma omp target enter data map(to: A, B) depend(out: A[0]) nowait
// no data move since already mapped
#pragma omp target map(A, B) depend(out: A[0]) nowait
{
int i;
for(int i=0; i<N; i++) A[i]++;
for(int i=0; i<N; i++) B[i]++;
}
// no data move since already mapped
#pragma omp target map(A, B) depend(out: A[0]) nowait
{
int i;
for(int i=0; i<N; i++) A[i]++;
for(int i=0; i<N; i++) B[i]++;
}
// A updated via update
#pragma omp target update from(A) depend(out: A[0]) nowait
// B updated via exit, A just released
#pragma omp target exit data map(release: A) map(from: B) depend(out: A[0]) nowait
#pragma omp taskwait
errors = 0;
for(i=0; i<N; i++) {
if (A[i] != i+2) printf("%d: A got %d, expected %d; error %d\n", i, A[i], i+2, ++errors);
if (B[i] != i+2) printf("%d: B got %d, expected %d; error %d\n", i, B[i], i+2, ++errors);
if (errors>25) break;
}
printf("completed with %d errors\n", errors);
return 1;
}
|
DRACC_OMP_044_Wrong_ordered_clause_simd_Intra_yes.c | /*
Data race between the values in countervar leading to changing results with simd. by utilising the ordered construct the execution will be sequentially consistent.
.*/
#include <stdio.h>
#include <stdbool.h>
#include <stdlib.h>
#define N 42000
#define C 16
int countervar[N];
int init(){
for(int i=0; i<N; i++){
countervar[i]=0;
}
return 0;
}
int count(){
#pragma omp target map(tofrom:countervar[0:N]) device(0)
#pragma omp teams num_teams(1)
#pragma omp distribute parallel for simd safelen(C)
for (int i=C; i<N; i++){
countervar[i]=countervar[i-C]+1;
}
return 0;
}
int check(){
bool test = false;
for(int i=C; i<N; i++){
if(countervar[i]!=i-C+1){
test = true;
}
}
printf("Memory Access Issue visible: %s\n",test ? "true" : "false");
return 0;
}
int main(){
init();
count();
check();
return 0;
} |
main1.c | #include <stdlib.h>
#include <stdio.h>
#include <omp.h>
#include <string.h>
int number_of_threads;
void crout0(double **A, double **L, double **U, int n) {
int i, j, k;
double sum = 0;
for (i = 0; i < n; i++) {
U[i][i] = 1;
}
for (j = 0; j < n; j++) {
printf("j : %d\n",j);
sum = 0;
// printf("\ti : %d\n",j);
printf("------------------------------\n");
for (k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][j];
// printf("\t\tREAD: \tL[%d,%d]\n",j,k);
// printf("\t\tREAD: \tU[%d,%d]\n",k,j);
}
L[j][j] = A[j][j] - sum;
for (i = j+1; i < n; i++) {
sum = 0;
for (k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
printf("\t\tREAD: \tL[%d,%d]\n",i,k);
printf("\t\tREAD: \tU[%d,%d]\n",k,j);
}
L[i][j] = A[i][j] - sum;
printf("\t\tWRITE: \tL[%d,%d]\n",i,j);
}
printf("--------\n");
for (i = j; i < n; i++) {
sum = 0;
// printf("\ti : %d\n",i);
for(k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
printf("\t\tREAD: \tL[%d,%d]\n",j,k);
printf("\t\tREAD: \tU[%d,%d]\n",k,i);
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
printf("\t\tREAD: \tL[%d,%d]\n",j,j);
printf("\t\tWRITE: \tU[%d,%d]\n",j,i);
}
}
}
/*
void crout0(double const **A, double **L, double **U, int n) {
int i, j, k;
double sum = 0;
for (i = 0; i < n; i++) {
U[i][i] = 1;
}
for (j = 0; j < n; j++) {
for (i = j; i < n; i++) {
sum = 0;
for (k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
for (i = j; i < n; i++) {
sum = 0;
for(k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
}
*/
/*
void crout1(double **A, double **L, double **U, int n, int number_of_threads) {
int i, j, k;
double sum = 0;
#pragma parallel for num_threads(number_of_threads)
for (i = 0; i < n; i++) {
U[i][i] = 1;
}
for (j = 0; j < n; j++) {
#pragma parallel for num_threads(number_of_threads)
for (i = j; i < n; i++) {
printf("X\n");
sum = 0;
for (k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
#pragma parallel for num_threads(number_of_threads)
for (i = j; i < n; i++) {
printf("Y\n");
sum = 0;
for(k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
}
*/
void crout1(double **A, double **L, double **U, int n, int number_of_threads) {
int i, j, k;
double sum = 0;
#pragma parallel for num_threads(number_of_threads)
for (i = 0; i < n; i++) {
U[i][i] = 1;
}
for (j = 0; j < n; j++) {
sum =0 ;
for (k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][j];
}
L[j][j] = A[j][j] - sum;
#pragma parallel for num_threads(number_of_threads)
for (i = j; i < n; i++) {
if(i>j){
sum = 0;
for (k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
sum = 0;
for(k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
}
void strategy2(double **A, double **L, double **U, int n, int t) {
#pragma omp parallel sections num_threads(t)
{
#pragma omp section
{
for (int i = (n*0)/16; i < (n*1)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*1)/16; i < (n*2)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*2)/16; i < (n*3)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*3)/16; i < (n*4)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*4)/16; i < (n*5)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*5)/16; i < (n*6)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*6)/16; i < (n*7)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*7)/16; i < (n*8)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*8)/16; i < (n*9)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*9)/16; i < (n*10)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*10)/16; i < (n*11)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*11)/16; i < (n*12)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*12)/16; i < (n*13)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*13)/16; i < (n*14)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*14)/16; i < (n*15)/16; i++) {
U[i][i] = 1;
}
}
#pragma omp section
{
for (int i = (n*15)/15; i < (n*16)/16; i++) {
U[i][i] = 1;
}
}
}
for (int j = 0; j < n; j++) {
double sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][j];
}
L[j][j] = A[j][j] - sum;
#pragma omp parallel sections num_threads(t)
{
#pragma omp section
{
for (int i = (j+1) + (0*(n-j-1))/8; i < (j+1) + (1*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = (j+1) + (1*(n-j-1))/8; i < (j+1) + (2*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = (j+1) + (2*(n-j-1))/8; i < (j+1) + (3*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = (j+1) + (3*(n-j-1))/8; i < (j+1) + (4*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = (j+1) + (4*(n-j-1))/8; i < (j+1) + (5*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = (j+1) + (5*(n-j-1))/8; i < (j+1) + (6*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = (j+1) + (6*(n-j-1))/8; i < (j+1) + (7*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = (j+1) + (7*(n-j-1))/8; i < (j+1) + (8*(n-j-1))/8; i++) {
int sum = 0;
for (int k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
}
#pragma omp section
{
for (int i = j + (0*(n-j))/8; i < j + (1*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
for (int i = j + (1*(n-j))/8; i < j + (2*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
for (int i = j + (2*(n-j))/8; i < j + (3*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
for (int i = j + (3*(n-j))/8; i < j + (4*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
for (int i = j + (4*(n-j))/8; i < j + (5*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
for (int i = j + (5*(n-j))/8; i < j + (6*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
for (int i = j + (6*(n-j))/8; i < j + (7*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
for (int i = j + (7*(n-j))/8; i < j + (8*(n-j))/8; i++) {
int sum = 0;
for(int k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
}
}
}
void crout2(double **A, double **L, double **U, int n, int number_of_threads) {
#pragma omp parallel sections num_threads(number_of_threads)
{
#pragma omp section
{
for (i = 0; i < n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = n/16; i < 2*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 2*n/16; i < 3*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 3*n/16; i < 4*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 4*n/16; i < 5*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 5*n/16; i < 6*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 6*n/16; i < 7*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 7*n/16; i < 8*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 8*n/16; i < 9*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 9*n/16; i < 10*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 10*n/16; i < 11*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 11*n/16; i < 12*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 12*n/16; i < 13*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 13*n/16; i < 14*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 14*n/16; i < 15*n/16; i++) U[i][i] = 1;
}
#pragma omp section
{
for (i = 15*n/16; i < n; i++) U[i][i] = 1;
}
}
int i,j,k;
double sum = 0, sum1 = 0, sum2 = 0;
for (j = 0; j < n; j++) {
sum = 0 ;
for (k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][j];
}
L[j][j] = A[j][j] - sum;
#pragma omp parallel sections num_threads(number_of_threads)
{
#pragma omp section
{
printf("A");
for (i = j+1; i < n/4; i++) {
if(i>j){
sum = 0;
for (k = 0; k < j; k++) {
sum = sum + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum;
}
sum = 0;
for(k = 0; k < j; k++) {
sum = sum + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum) / L[j][j];
}
}
#pragma omp section
{
printf("B");
for (i = n/4; i < 2*n/4; i++) {
if(i>j){
sum2 = 0;
for (k = 0; k < j; k++) {
sum2 = sum2 + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum2;
}
sum2 = 0;
for(k = 0; k < j; k++) {
sum2 = sum2 + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum2) / L[j][j];
}
}
#pragma omp section
{
printf("C");
for (i = 2*n/4; i < 3*n/4; i++) {
if(i>j){
sum2 = 0;
for (k = 0; k < j; k++) {
sum2 = sum2 + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum2;
}
sum2 = 0;
for(k = 0; k < j; k++) {
sum2 = sum2 + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum2) / L[j][j];
}
}
#pragma omp section
{
printf("D");
for (i = 3*n/4; i < n; i++) {
if(i>j){
sum2 = 0;
for (k = 0; k < j; k++) {
sum2 = sum2 + L[i][k] * U[k][j];
}
L[i][j] = A[i][j] - sum2;
}
sum2 = 0;
for(k = 0; k < j; k++) {
sum2 = sum2 + L[j][k] * U[k][i];
}
if (L[j][j] == 0) {
exit(0);
}
U[j][i] = (A[j][i] - sum2) / L[j][j];
}
}
}
}
}
void print_array(double **A, int n,char *c){
printf("\n--------------------------- %s ---------------------------\n",c);
for(int i=0; i<n; i++){
for(int j=0; j<n; j++)
printf("%f\t",A[i][j]);
printf("\n");
}
printf("----------------------------------------------------------\n\n");
}
void write_output(char fname[], double** arr, int n){
FILE *f = fopen(fname, "w");
for( int i = 0; i < n; i++){
for(int j = 0; j < n; j++){
fprintf(f, "%0.12f ", arr[i][j]);
}
fprintf(f, "\n");
}
fclose(f);
}
int main(int argc, char* argv[])
{
int n;
char *input_filename;
int strategy;
double **a;
if (argc != 5) {printf("Enter 5 arguments only. Eg.\"executable_filename n input_filename number_of_threads strategy\"\n");return 0;}
n = atoi(argv[1]);
input_filename = argv[2];
number_of_threads = atoi(argv[3]);
strategy = atoi(argv[4]);
char *not = argv[3];
a=malloc(n*sizeof(double*));
for(int i=0;i<n;++i)
a[i]=malloc(n*sizeof(double));
FILE *fptr;
if ((fptr = fopen(input_filename, "r")) == NULL) {
printf("Error! can't open the input file.");
exit(1);
}
for(int i = 0; i < n; i++) {
for(int j = 0; j < n; j++) {
if (!fscanf(fptr, "%lf", &a[i][j]))
break;
}
}
fclose(fptr);
//printf("%d %s %d %d\n",n,input_filename,number_of_threads,strategy);
double **L;
double **U;
L=malloc(n*sizeof(double*));
U=malloc(n*sizeof(double*));
for(int i=0;i<n;++i) {
L[i]=malloc(n*sizeof(double));
U[i]=malloc(n*sizeof(double));
}
printf("%d\n\n\n",strategy);
if (strategy==0) {
// printf("X");
crout0(a,L,U,n);
// printf("Y");
char *lf = "output_L_0_";
char *uf = "output_U_0_";
char *extension = ".txt";
char *f1 = (char *) malloc(256);
char *f2 = (char *) malloc(256);
strcat(f1,lf); strcat(f1,not); strcat(f1,extension);
strcat(f2,uf); strcat(f2,not); strcat(f2,extension);
// printf("|%s|%s|\n",f1,f2);
write_output(f1,L,n);
write_output(f2,U,n);
print_array(L,n,"L");
print_array(U,n,"U");
}
else if(strategy==1){
crout1(a,L,U,n,number_of_threads);
char *lf = "output_L_1_";
char *uf = "output_U_1_";
char *extension = ".txt";
char *f1 = (char *) malloc(256);
char *f2 = (char *) malloc(256);
strcat(f1,lf); strcat(f1,not); strcat(f1,extension);
strcat(f2,uf); strcat(f2,not); strcat(f2,extension);
write_output(f1,L,n);
write_output(f2,U,n);
print_array(L,n,"L");
print_array(U,n,"U");
}
else if(strategy==2){
strategy2(a,L,U,n,number_of_threads);
char *lf = "output_L_2_";
char *uf = "output_U_2_";
char *extension = ".txt";
char *f1 = (char *) malloc(256);
char *f2 = (char *) malloc(256);
strcat(f1,lf); strcat(f1,not); strcat(f1,extension);
strcat(f2,uf); strcat(f2,not); strcat(f2,extension);
write_output(f1,L,n);
write_output(f2,U,n);
print_array(L,n,"L");
print_array(U,n,"U");
}
} |
tinyexr.h | #ifndef TINYEXR_H_
#define TINYEXR_H_
/*
Copyright (c) 2014 - 2019, Syoyo Fujita and many contributors.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Syoyo Fujita nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
// TinyEXR contains some OpenEXR code, which is licensed under ------------
///////////////////////////////////////////////////////////////////////////
//
// Copyright (c) 2002, Industrial Light & Magic, a division of Lucas
// Digital Ltd. LLC
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above
// copyright notice, this list of conditions and the following disclaimer
// in the documentation and/or other materials provided with the
// distribution.
// * Neither the name of Industrial Light & Magic nor the names of
// its contributors may be used to endorse or promote products derived
// from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
///////////////////////////////////////////////////////////////////////////
// End of OpenEXR license -------------------------------------------------
//
//
// Do this:
// #define TINYEXR_IMPLEMENTATION
// before you include this file in *one* C or C++ file to create the
// implementation.
//
// // i.e. it should look like this:
// #include ...
// #include ...
// #include ...
// #define TINYEXR_IMPLEMENTATION
// #include "tinyexr.h"
//
//
#include <stddef.h> // for size_t
#include <stdint.h> // guess stdint.h is available(C99)
#ifdef __cplusplus
extern "C" {
#endif
// Use embedded miniz or not to decode ZIP format pixel. Linking with zlib
// required if this flas is 0.
#ifndef TINYEXR_USE_MINIZ
#define TINYEXR_USE_MINIZ (1)
#endif
// Disable PIZ comporession when applying cpplint.
#ifndef TINYEXR_USE_PIZ
#define TINYEXR_USE_PIZ (1)
#endif
#ifndef TINYEXR_USE_ZFP
#define TINYEXR_USE_ZFP (0) // TinyEXR extension.
// http://computation.llnl.gov/projects/floating-point-compression
#endif
#ifndef TINYEXR_USE_THREAD
#define TINYEXR_USE_THREAD (0) // No threaded loading.
// http://computation.llnl.gov/projects/floating-point-compression
#endif
#ifndef TINYEXR_USE_OPENMP
#ifdef _OPENMP
#define TINYEXR_USE_OPENMP (1)
#else
#define TINYEXR_USE_OPENMP (0)
#endif
#endif
#define TINYEXR_SUCCESS (0)
#define TINYEXR_ERROR_INVALID_MAGIC_NUMBER (-1)
#define TINYEXR_ERROR_INVALID_EXR_VERSION (-2)
#define TINYEXR_ERROR_INVALID_ARGUMENT (-3)
#define TINYEXR_ERROR_INVALID_DATA (-4)
#define TINYEXR_ERROR_INVALID_FILE (-5)
#define TINYEXR_ERROR_INVALID_PARAMETER (-6)
#define TINYEXR_ERROR_CANT_OPEN_FILE (-7)
#define TINYEXR_ERROR_UNSUPPORTED_FORMAT (-8)
#define TINYEXR_ERROR_INVALID_HEADER (-9)
#define TINYEXR_ERROR_UNSUPPORTED_FEATURE (-10)
#define TINYEXR_ERROR_CANT_WRITE_FILE (-11)
#define TINYEXR_ERROR_SERIALZATION_FAILED (-12)
#define TINYEXR_ERROR_LAYER_NOT_FOUND (-13)
// @note { OpenEXR file format: http://www.openexr.com/openexrfilelayout.pdf }
// pixel type: possible values are: UINT = 0 HALF = 1 FLOAT = 2
#define TINYEXR_PIXELTYPE_UINT (0)
#define TINYEXR_PIXELTYPE_HALF (1)
#define TINYEXR_PIXELTYPE_FLOAT (2)
#define TINYEXR_MAX_HEADER_ATTRIBUTES (1024)
#define TINYEXR_MAX_CUSTOM_ATTRIBUTES (128)
#define TINYEXR_COMPRESSIONTYPE_NONE (0)
#define TINYEXR_COMPRESSIONTYPE_RLE (1)
#define TINYEXR_COMPRESSIONTYPE_ZIPS (2)
#define TINYEXR_COMPRESSIONTYPE_ZIP (3)
#define TINYEXR_COMPRESSIONTYPE_PIZ (4)
#define TINYEXR_COMPRESSIONTYPE_ZFP (128) // TinyEXR extension
#define TINYEXR_ZFP_COMPRESSIONTYPE_RATE (0)
#define TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION (1)
#define TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY (2)
#define TINYEXR_TILE_ONE_LEVEL (0)
#define TINYEXR_TILE_MIPMAP_LEVELS (1)
#define TINYEXR_TILE_RIPMAP_LEVELS (2)
#define TINYEXR_TILE_ROUND_DOWN (0)
#define TINYEXR_TILE_ROUND_UP (1)
typedef struct _EXRVersion {
int version; // this must be 2
int tiled; // tile format image
int long_name; // long name attribute
int non_image; // deep image(EXR 2.0)
int multipart; // multi-part(EXR 2.0)
} EXRVersion;
typedef struct _EXRAttribute {
char name[256]; // name and type are up to 255 chars long.
char type[256];
unsigned char *value; // uint8_t*
int size;
int pad0;
} EXRAttribute;
typedef struct _EXRChannelInfo {
char name[256]; // less than 255 bytes long
int pixel_type;
int x_sampling;
int y_sampling;
unsigned char p_linear;
unsigned char pad[3];
} EXRChannelInfo;
typedef struct _EXRTile {
int offset_x;
int offset_y;
int level_x;
int level_y;
int width; // actual width in a tile.
int height; // actual height int a tile.
unsigned char **images; // image[channels][pixels]
} EXRTile;
typedef struct _EXRHeader {
float pixel_aspect_ratio;
int line_order;
int data_window[4];
int display_window[4];
float screen_window_center[2];
float screen_window_width;
int chunk_count;
// Properties for tiled format(`tiledesc`).
int tiled;
int tile_size_x;
int tile_size_y;
int tile_level_mode;
int tile_rounding_mode;
int long_name;
int non_image;
int multipart;
unsigned int header_len;
// Custom attributes(exludes required attributes(e.g. `channels`,
// `compression`, etc)
int num_custom_attributes;
EXRAttribute *custom_attributes; // array of EXRAttribute. size =
// `num_custom_attributes`.
EXRChannelInfo *channels; // [num_channels]
int *pixel_types; // Loaded pixel type(TINYEXR_PIXELTYPE_*) of `images` for
// each channel. This is overwritten with `requested_pixel_types` when
// loading.
int num_channels;
int compression_type; // compression type(TINYEXR_COMPRESSIONTYPE_*)
int *requested_pixel_types; // Filled initially by
// ParseEXRHeaderFrom(Meomory|File), then users
// can edit it(only valid for HALF pixel type
// channel)
} EXRHeader;
typedef struct _EXRMultiPartHeader {
int num_headers;
EXRHeader *headers;
} EXRMultiPartHeader;
typedef struct _EXRImage {
EXRTile *tiles; // Tiled pixel data. The application must reconstruct image
// from tiles manually. NULL if scanline format.
unsigned char **images; // image[channels][pixels]. NULL if tiled format.
int width;
int height;
int num_channels;
// Properties for tile format.
int num_tiles;
} EXRImage;
typedef struct _EXRMultiPartImage {
int num_images;
EXRImage *images;
} EXRMultiPartImage;
typedef struct _DeepImage {
const char **channel_names;
float ***image; // image[channels][scanlines][samples]
int **offset_table; // offset_table[scanline][offsets]
int num_channels;
int width;
int height;
int pad0;
} DeepImage;
// @deprecated { For backward compatibility. Not recommended to use. }
// Loads single-frame OpenEXR image. Assume EXR image contains A(single channel
// alpha) or RGB(A) channels.
// Application must free image data as returned by `out_rgba`
// Result image format is: float x RGBA x width x hight
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXR(float **out_rgba, int *width, int *height,
const char *filename, const char **err);
// Loads single-frame OpenEXR image by specifying layer name. Assume EXR image contains A(single channel
// alpha) or RGB(A) channels.
// Application must free image data as returned by `out_rgba`
// Result image format is: float x RGBA x width x hight
// Returns negative value and may set error string in `err` when there's an
// error
// When the specified layer name is not found in the EXR file, the function will return `TINYEXR_ERROR_LAYER_NOT_FOUND`.
extern int LoadEXRWithLayer(float **out_rgba, int *width, int *height,
const char *filename, const char *layer_name, const char **err);
//
// Get layer infos from EXR file.
//
// @param[out] layer_names List of layer names. Application must free memory after using this.
// @param[out] num_layers The number of layers
// @param[out] err Error string(will be filled when the function returns error code). Free it using FreeEXRErrorMessage after using this value.
//
// @return TINYEXR_SUCCEES upon success.
//
extern int EXRLayers(const char *filename, const char **layer_names[], int *num_layers, const char **err);
// @deprecated { to be removed. }
// Simple wrapper API for ParseEXRHeaderFromFile.
// checking given file is a EXR file(by just look up header)
// @return TINYEXR_SUCCEES for EXR image, TINYEXR_ERROR_INVALID_HEADER for
// others
extern int IsEXR(const char *filename);
// @deprecated { to be removed. }
// Saves single-frame OpenEXR image. Assume EXR image contains RGB(A) channels.
// components must be 1(Grayscale), 3(RGB) or 4(RGBA).
// Input image format is: `float x width x height`, or `float x RGB(A) x width x
// hight`
// Save image as fp16(HALF) format when `save_as_fp16` is positive non-zero
// value.
// Save image as fp32(FLOAT) format when `save_as_fp16` is 0.
// Use ZIP compression by default.
// Returns negative value and may set error string in `err` when there's an
// error
extern int SaveEXR(const float *data, const int width, const int height,
const int components, const int save_as_fp16,
const char *filename, const char **err);
// Initialize EXRHeader struct
extern void InitEXRHeader(EXRHeader *exr_header);
// Initialize EXRImage struct
extern void InitEXRImage(EXRImage *exr_image);
// Frees internal data of EXRHeader struct
extern int FreeEXRHeader(EXRHeader *exr_header);
// Frees internal data of EXRImage struct
extern int FreeEXRImage(EXRImage *exr_image);
// Frees error message
extern void FreeEXRErrorMessage(const char *msg);
// Parse EXR version header of a file.
extern int ParseEXRVersionFromFile(EXRVersion *version, const char *filename);
// Parse EXR version header from memory-mapped EXR data.
extern int ParseEXRVersionFromMemory(EXRVersion *version,
const unsigned char *memory, size_t size);
// Parse single-part OpenEXR header from a file and initialize `EXRHeader`.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int ParseEXRHeaderFromFile(EXRHeader *header, const EXRVersion *version,
const char *filename, const char **err);
// Parse single-part OpenEXR header from a memory and initialize `EXRHeader`.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int ParseEXRHeaderFromMemory(EXRHeader *header,
const EXRVersion *version,
const unsigned char *memory, size_t size,
const char **err);
// Parse multi-part OpenEXR headers from a file and initialize `EXRHeader*`
// array.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int ParseEXRMultipartHeaderFromFile(EXRHeader ***headers,
int *num_headers,
const EXRVersion *version,
const char *filename,
const char **err);
// Parse multi-part OpenEXR headers from a memory and initialize `EXRHeader*`
// array
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int ParseEXRMultipartHeaderFromMemory(EXRHeader ***headers,
int *num_headers,
const EXRVersion *version,
const unsigned char *memory,
size_t size, const char **err);
// Loads single-part OpenEXR image from a file.
// Application must setup `ParseEXRHeaderFromFile` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRImageFromFile(EXRImage *image, const EXRHeader *header,
const char *filename, const char **err);
// Loads single-part OpenEXR image from a memory.
// Application must setup `EXRHeader` with
// `ParseEXRHeaderFromMemory` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRImageFromMemory(EXRImage *image, const EXRHeader *header,
const unsigned char *memory,
const size_t size, const char **err);
// Loads multi-part OpenEXR image from a file.
// Application must setup `ParseEXRMultipartHeaderFromFile` before calling this
// function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRMultipartImageFromFile(EXRImage *images,
const EXRHeader **headers,
unsigned int num_parts,
const char *filename,
const char **err);
// Loads multi-part OpenEXR image from a memory.
// Application must setup `EXRHeader*` array with
// `ParseEXRMultipartHeaderFromMemory` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRMultipartImageFromMemory(EXRImage *images,
const EXRHeader **headers,
unsigned int num_parts,
const unsigned char *memory,
const size_t size, const char **err);
// Saves multi-channel, single-frame OpenEXR image to a file.
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int SaveEXRImageToFile(const EXRImage *image,
const EXRHeader *exr_header, const char *filename,
const char **err);
// Saves multi-channel, single-frame OpenEXR image to a memory.
// Image is compressed using EXRImage.compression value.
// Return the number of bytes if success.
// Return zero and will set error string in `err` when there's an
// error.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern size_t SaveEXRImageToMemory(const EXRImage *image,
const EXRHeader *exr_header,
unsigned char **memory, const char **err);
// Loads single-frame OpenEXR deep image.
// Application must free memory of variables in DeepImage(image, offset_table)
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadDeepEXR(DeepImage *out_image, const char *filename,
const char **err);
// NOT YET IMPLEMENTED:
// Saves single-frame OpenEXR deep image.
// Returns negative value and may set error string in `err` when there's an
// error
// extern int SaveDeepEXR(const DeepImage *in_image, const char *filename,
// const char **err);
// NOT YET IMPLEMENTED:
// Loads multi-part OpenEXR deep image.
// Application must free memory of variables in DeepImage(image, offset_table)
// extern int LoadMultiPartDeepEXR(DeepImage **out_image, int num_parts, const
// char *filename,
// const char **err);
// For emscripten.
// Loads single-frame OpenEXR image from memory. Assume EXR image contains
// RGB(A) channels.
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRFromMemory(float **out_rgba, int *width, int *height,
const unsigned char *memory, size_t size,
const char **err);
#ifdef __cplusplus
}
#endif
#endif // TINYEXR_H_
#ifdef TINYEXR_IMPLEMENTATION
#ifndef TINYEXR_IMPLEMENTATION_DEFINED
#define TINYEXR_IMPLEMENTATION_DEFINED
#ifdef _WIN32
#ifndef WIN32_LEAN_AND_MEAN
#define WIN32_LEAN_AND_MEAN
#endif
#include <windows.h> // for UTF-8
#endif
#include <algorithm>
#include <cassert>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <sstream>
// #include <iostream> // debug
#include <limits>
#include <string>
#include <vector>
#if __cplusplus > 199711L
// C++11
#include <cstdint>
#if TINYEXR_USE_THREAD
#include <atomic>
#include <thread>
#endif
#endif // __cplusplus > 199711L
#if TINYEXR_USE_OPENMP
#include <omp.h>
#endif
#if TINYEXR_USE_MINIZ
#else
// Issue #46. Please include your own zlib-compatible API header before
// including `tinyexr.h`
//#include "zlib.h"
#endif
#if TINYEXR_USE_ZFP
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Weverything"
#endif
#include "zfp.h"
#ifdef __clang__
#pragma clang diagnostic pop
#endif
#endif
namespace tinyexr {
#if __cplusplus > 199711L
// C++11
typedef uint64_t tinyexr_uint64;
typedef int64_t tinyexr_int64;
#else
// Although `long long` is not a standard type pre C++11, assume it is defined
// as a compiler's extension.
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#endif
typedef unsigned long long tinyexr_uint64;
typedef long long tinyexr_int64;
#ifdef __clang__
#pragma clang diagnostic pop
#endif
#endif
#if TINYEXR_USE_MINIZ
namespace miniz {
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#pragma clang diagnostic ignored "-Wold-style-cast"
#pragma clang diagnostic ignored "-Wpadded"
#pragma clang diagnostic ignored "-Wsign-conversion"
#pragma clang diagnostic ignored "-Wc++11-extensions"
#pragma clang diagnostic ignored "-Wconversion"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wc++98-compat-pedantic"
#pragma clang diagnostic ignored "-Wundef"
#if __has_warning("-Wcomma")
#pragma clang diagnostic ignored "-Wcomma"
#endif
#if __has_warning("-Wmacro-redefined")
#pragma clang diagnostic ignored "-Wmacro-redefined"
#endif
#if __has_warning("-Wcast-qual")
#pragma clang diagnostic ignored "-Wcast-qual"
#endif
#if __has_warning("-Wzero-as-null-pointer-constant")
#pragma clang diagnostic ignored "-Wzero-as-null-pointer-constant"
#endif
#if __has_warning("-Wtautological-constant-compare")
#pragma clang diagnostic ignored "-Wtautological-constant-compare"
#endif
#if __has_warning("-Wextra-semi-stmt")
#pragma clang diagnostic ignored "-Wextra-semi-stmt"
#endif
#endif
/* miniz.c v1.15 - public domain deflate/inflate, zlib-subset, ZIP
reading/writing/appending, PNG writing
See "unlicense" statement at the end of this file.
Rich Geldreich <richgel99@gmail.com>, last updated Oct. 13, 2013
Implements RFC 1950: http://www.ietf.org/rfc/rfc1950.txt and RFC 1951:
http://www.ietf.org/rfc/rfc1951.txt
Most API's defined in miniz.c are optional. For example, to disable the
archive related functions just define
MINIZ_NO_ARCHIVE_APIS, or to get rid of all stdio usage define MINIZ_NO_STDIO
(see the list below for more macros).
* Change History
10/13/13 v1.15 r4 - Interim bugfix release while I work on the next major
release with Zip64 support (almost there!):
- Critical fix for the MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY bug
(thanks kahmyong.moon@hp.com) which could cause locate files to not find
files. This bug
would only have occurred in earlier versions if you explicitly used this
flag, OR if you used mz_zip_extract_archive_file_to_heap() or
mz_zip_add_mem_to_archive_file_in_place()
(which used this flag). If you can't switch to v1.15 but want to fix
this bug, just remove the uses of this flag from both helper funcs (and of
course don't use the flag).
- Bugfix in mz_zip_reader_extract_to_mem_no_alloc() from kymoon when
pUser_read_buf is not NULL and compressed size is > uncompressed size
- Fixing mz_zip_reader_extract_*() funcs so they don't try to extract
compressed data from directory entries, to account for weird zipfiles which
contain zero-size compressed data on dir entries.
Hopefully this fix won't cause any issues on weird zip archives,
because it assumes the low 16-bits of zip external attributes are DOS
attributes (which I believe they always are in practice).
- Fixing mz_zip_reader_is_file_a_directory() so it doesn't check the
internal attributes, just the filename and external attributes
- mz_zip_reader_init_file() - missing MZ_FCLOSE() call if the seek failed
- Added cmake support for Linux builds which builds all the examples,
tested with clang v3.3 and gcc v4.6.
- Clang fix for tdefl_write_image_to_png_file_in_memory() from toffaletti
- Merged MZ_FORCEINLINE fix from hdeanclark
- Fix <time.h> include before config #ifdef, thanks emil.brink
- Added tdefl_write_image_to_png_file_in_memory_ex(): supports Y flipping
(super useful for OpenGL apps), and explicit control over the compression
level (so you can
set it to 1 for real-time compression).
- Merged in some compiler fixes from paulharris's github repro.
- Retested this build under Windows (VS 2010, including static analysis),
tcc 0.9.26, gcc v4.6 and clang v3.3.
- Added example6.c, which dumps an image of the mandelbrot set to a PNG
file.
- Modified example2 to help test the
MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY flag more.
- In r3: Bugfix to mz_zip_writer_add_file() found during merge: Fix
possible src file fclose() leak if alignment bytes+local header file write
faiiled
- In r4: Minor bugfix to mz_zip_writer_add_from_zip_reader():
Was pushing the wrong central dir header offset, appears harmless in this
release, but it became a problem in the zip64 branch
5/20/12 v1.14 - MinGW32/64 GCC 4.6.1 compiler fixes: added MZ_FORCEINLINE,
#include <time.h> (thanks fermtect).
5/19/12 v1.13 - From jason@cornsyrup.org and kelwert@mtu.edu - Fix
mz_crc32() so it doesn't compute the wrong CRC-32's when mz_ulong is 64-bit.
- Temporarily/locally slammed in "typedef unsigned long mz_ulong" and
re-ran a randomized regression test on ~500k files.
- Eliminated a bunch of warnings when compiling with GCC 32-bit/64.
- Ran all examples, miniz.c, and tinfl.c through MSVC 2008's /analyze
(static analysis) option and fixed all warnings (except for the silly
"Use of the comma-operator in a tested expression.." analysis warning,
which I purposely use to work around a MSVC compiler warning).
- Created 32-bit and 64-bit Codeblocks projects/workspace. Built and
tested Linux executables. The codeblocks workspace is compatible with
Linux+Win32/x64.
- Added miniz_tester solution/project, which is a useful little app
derived from LZHAM's tester app that I use as part of the regression test.
- Ran miniz.c and tinfl.c through another series of regression testing on
~500,000 files and archives.
- Modified example5.c so it purposely disables a bunch of high-level
functionality (MINIZ_NO_STDIO, etc.). (Thanks to corysama for the
MINIZ_NO_STDIO bug report.)
- Fix ftell() usage in examples so they exit with an error on files which
are too large (a limitation of the examples, not miniz itself).
4/12/12 v1.12 - More comments, added low-level example5.c, fixed a couple
minor level_and_flags issues in the archive API's.
level_and_flags can now be set to MZ_DEFAULT_COMPRESSION. Thanks to Bruce
Dawson <bruced@valvesoftware.com> for the feedback/bug report.
5/28/11 v1.11 - Added statement from unlicense.org
5/27/11 v1.10 - Substantial compressor optimizations:
- Level 1 is now ~4x faster than before. The L1 compressor's throughput
now varies between 70-110MB/sec. on a
- Core i7 (actual throughput varies depending on the type of data, and x64
vs. x86).
- Improved baseline L2-L9 compression perf. Also, greatly improved
compression perf. issues on some file types.
- Refactored the compression code for better readability and
maintainability.
- Added level 10 compression level (L10 has slightly better ratio than
level 9, but could have a potentially large
drop in throughput on some files).
5/15/11 v1.09 - Initial stable release.
* Low-level Deflate/Inflate implementation notes:
Compression: Use the "tdefl" API's. The compressor supports raw, static,
and dynamic blocks, lazy or
greedy parsing, match length filtering, RLE-only, and Huffman-only streams.
It performs and compresses
approximately as well as zlib.
Decompression: Use the "tinfl" API's. The entire decompressor is
implemented as a single function
coroutine: see tinfl_decompress(). It supports decompression into a 32KB
(or larger power of 2) wrapping buffer, or into a memory
block large enough to hold the entire file.
The low-level tdefl/tinfl API's do not make any use of dynamic memory
allocation.
* zlib-style API notes:
miniz.c implements a fairly large subset of zlib. There's enough
functionality present for it to be a drop-in
zlib replacement in many apps:
The z_stream struct, optional memory allocation callbacks
deflateInit/deflateInit2/deflate/deflateReset/deflateEnd/deflateBound
inflateInit/inflateInit2/inflate/inflateEnd
compress, compress2, compressBound, uncompress
CRC-32, Adler-32 - Using modern, minimal code size, CPU cache friendly
routines.
Supports raw deflate streams or standard zlib streams with adler-32
checking.
Limitations:
The callback API's are not implemented yet. No support for gzip headers or
zlib static dictionaries.
I've tried to closely emulate zlib's various flavors of stream flushing
and return status codes, but
there are no guarantees that miniz.c pulls this off perfectly.
* PNG writing: See the tdefl_write_image_to_png_file_in_memory() function,
originally written by
Alex Evans. Supports 1-4 bytes/pixel images.
* ZIP archive API notes:
The ZIP archive API's where designed with simplicity and efficiency in
mind, with just enough abstraction to
get the job done with minimal fuss. There are simple API's to retrieve file
information, read files from
existing archives, create new archives, append new files to existing
archives, or clone archive data from
one archive to another. It supports archives located in memory or the heap,
on disk (using stdio.h),
or you can specify custom file read/write callbacks.
- Archive reading: Just call this function to read a single file from a
disk archive:
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename, const
char *pArchive_name,
size_t *pSize, mz_uint zip_flags);
For more complex cases, use the "mz_zip_reader" functions. Upon opening an
archive, the entire central
directory is located and read as-is into memory, and subsequent file access
only occurs when reading individual files.
- Archives file scanning: The simple way is to use this function to scan a
loaded archive for a specific file:
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags);
The locate operation can optionally check file comments too, which (as one
example) can be used to identify
multiple versions of the same file in an archive. This function uses a
simple linear search through the central
directory, so it's not very fast.
Alternately, you can iterate through all the files in an archive (using
mz_zip_reader_get_num_files()) and
retrieve detailed info on each file by calling mz_zip_reader_file_stat().
- Archive creation: Use the "mz_zip_writer" functions. The ZIP writer
immediately writes compressed file data
to disk and builds an exact image of the central directory in memory. The
central directory image is written
all at once at the end of the archive file when the archive is finalized.
The archive writer can optionally align each file's local header and file
data to any power of 2 alignment,
which can be useful when the archive will be read from optical media. Also,
the writer supports placing
arbitrary data blobs at the very beginning of ZIP archives. Archives
written using either feature are still
readable by any ZIP tool.
- Archive appending: The simple way to add a single file to an archive is
to call this function:
mz_bool mz_zip_add_mem_to_archive_file_in_place(const char *pZip_filename,
const char *pArchive_name,
const void *pBuf, size_t buf_size, const void *pComment, mz_uint16
comment_size, mz_uint level_and_flags);
The archive will be created if it doesn't already exist, otherwise it'll be
appended to.
Note the appending is done in-place and is not an atomic operation, so if
something goes wrong
during the operation it's possible the archive could be left without a
central directory (although the local
file headers and file data will be fine, so the archive will be
recoverable).
For more complex archive modification scenarios:
1. The safest way is to use a mz_zip_reader to read the existing archive,
cloning only those bits you want to
preserve into a new archive using using the
mz_zip_writer_add_from_zip_reader() function (which compiles the
compressed file data as-is). When you're done, delete the old archive and
rename the newly written archive, and
you're done. This is safe but requires a bunch of temporary disk space or
heap memory.
2. Or, you can convert an mz_zip_reader in-place to an mz_zip_writer using
mz_zip_writer_init_from_reader(),
append new files as needed, then finalize the archive which will write an
updated central directory to the
original archive. (This is basically what
mz_zip_add_mem_to_archive_file_in_place() does.) There's a
possibility that the archive's central directory could be lost with this
method if anything goes wrong, though.
- ZIP archive support limitations:
No zip64 or spanning support. Extraction functions can only handle
unencrypted, stored or deflated files.
Requires streams capable of seeking.
* This is a header file library, like stb_image.c. To get only a header file,
either cut and paste the
below header, or create miniz.h, #define MINIZ_HEADER_FILE_ONLY, and then
include miniz.c from it.
* Important: For best perf. be sure to customize the below macros for your
target platform:
#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES 1
#define MINIZ_LITTLE_ENDIAN 1
#define MINIZ_HAS_64BIT_REGISTERS 1
* On platforms using glibc, Be sure to "#define _LARGEFILE64_SOURCE 1" before
including miniz.c to ensure miniz
uses the 64-bit variants: fopen64(), stat64(), etc. Otherwise you won't be
able to process large files
(i.e. 32-bit stat() fails for me on files > 0x7FFFFFFF bytes).
*/
#ifndef MINIZ_HEADER_INCLUDED
#define MINIZ_HEADER_INCLUDED
//#include <stdlib.h>
// Defines to completely disable specific portions of miniz.c:
// If all macros here are defined the only functionality remaining will be
// CRC-32, adler-32, tinfl, and tdefl.
// Define MINIZ_NO_STDIO to disable all usage and any functions which rely on
// stdio for file I/O.
//#define MINIZ_NO_STDIO
// If MINIZ_NO_TIME is specified then the ZIP archive functions will not be able
// to get the current time, or
// get/set file times, and the C run-time funcs that get/set times won't be
// called.
// The current downside is the times written to your archives will be from 1979.
#define MINIZ_NO_TIME
// Define MINIZ_NO_ARCHIVE_APIS to disable all ZIP archive API's.
#define MINIZ_NO_ARCHIVE_APIS
// Define MINIZ_NO_ARCHIVE_APIS to disable all writing related ZIP archive
// API's.
//#define MINIZ_NO_ARCHIVE_WRITING_APIS
// Define MINIZ_NO_ZLIB_APIS to remove all ZLIB-style compression/decompression
// API's.
//#define MINIZ_NO_ZLIB_APIS
// Define MINIZ_NO_ZLIB_COMPATIBLE_NAME to disable zlib names, to prevent
// conflicts against stock zlib.
//#define MINIZ_NO_ZLIB_COMPATIBLE_NAMES
// Define MINIZ_NO_MALLOC to disable all calls to malloc, free, and realloc.
// Note if MINIZ_NO_MALLOC is defined then the user must always provide custom
// user alloc/free/realloc
// callbacks to the zlib and archive API's, and a few stand-alone helper API's
// which don't provide custom user
// functions (such as tdefl_compress_mem_to_heap() and
// tinfl_decompress_mem_to_heap()) won't work.
//#define MINIZ_NO_MALLOC
#if defined(__TINYC__) && (defined(__linux) || defined(__linux__))
// TODO: Work around "error: include file 'sys\utime.h' when compiling with tcc
// on Linux
#define MINIZ_NO_TIME
#endif
#if !defined(MINIZ_NO_TIME) && !defined(MINIZ_NO_ARCHIVE_APIS)
//#include <time.h>
#endif
#if defined(_M_IX86) || defined(_M_X64) || defined(__i386__) || \
defined(__i386) || defined(__i486__) || defined(__i486) || \
defined(i386) || defined(__ia64__) || defined(__x86_64__)
// MINIZ_X86_OR_X64_CPU is only used to help set the below macros.
#define MINIZ_X86_OR_X64_CPU 1
#endif
#if defined(__sparcv9)
// Big endian
#else
#if (__BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__) || MINIZ_X86_OR_X64_CPU
// Set MINIZ_LITTLE_ENDIAN to 1 if the processor is little endian.
#define MINIZ_LITTLE_ENDIAN 1
#endif
#endif
#if MINIZ_X86_OR_X64_CPU
// Set MINIZ_USE_UNALIGNED_LOADS_AND_STORES to 1 on CPU's that permit efficient
// integer loads and stores from unaligned addresses.
//#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES 1
#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES \
0 // disable to suppress compiler warnings
#endif
#if defined(_M_X64) || defined(_WIN64) || defined(__MINGW64__) || \
defined(_LP64) || defined(__LP64__) || defined(__ia64__) || \
defined(__x86_64__)
// Set MINIZ_HAS_64BIT_REGISTERS to 1 if operations on 64-bit integers are
// reasonably fast (and don't involve compiler generated calls to helper
// functions).
#define MINIZ_HAS_64BIT_REGISTERS 1
#endif
#ifdef __cplusplus
extern "C" {
#endif
// ------------------- zlib-style API Definitions.
// For more compatibility with zlib, miniz.c uses unsigned long for some
// parameters/struct members. Beware: mz_ulong can be either 32 or 64-bits!
typedef unsigned long mz_ulong;
// mz_free() internally uses the MZ_FREE() macro (which by default calls free()
// unless you've modified the MZ_MALLOC macro) to release a block allocated from
// the heap.
void mz_free(void *p);
#define MZ_ADLER32_INIT (1)
// mz_adler32() returns the initial adler-32 value to use when called with
// ptr==NULL.
mz_ulong mz_adler32(mz_ulong adler, const unsigned char *ptr, size_t buf_len);
#define MZ_CRC32_INIT (0)
// mz_crc32() returns the initial CRC-32 value to use when called with
// ptr==NULL.
mz_ulong mz_crc32(mz_ulong crc, const unsigned char *ptr, size_t buf_len);
// Compression strategies.
enum {
MZ_DEFAULT_STRATEGY = 0,
MZ_FILTERED = 1,
MZ_HUFFMAN_ONLY = 2,
MZ_RLE = 3,
MZ_FIXED = 4
};
// Method
#define MZ_DEFLATED 8
#ifndef MINIZ_NO_ZLIB_APIS
// Heap allocation callbacks.
// Note that mz_alloc_func parameter types purpsosely differ from zlib's:
// items/size is size_t, not unsigned long.
typedef void *(*mz_alloc_func)(void *opaque, size_t items, size_t size);
typedef void (*mz_free_func)(void *opaque, void *address);
typedef void *(*mz_realloc_func)(void *opaque, void *address, size_t items,
size_t size);
#define MZ_VERSION "9.1.15"
#define MZ_VERNUM 0x91F0
#define MZ_VER_MAJOR 9
#define MZ_VER_MINOR 1
#define MZ_VER_REVISION 15
#define MZ_VER_SUBREVISION 0
// Flush values. For typical usage you only need MZ_NO_FLUSH and MZ_FINISH. The
// other values are for advanced use (refer to the zlib docs).
enum {
MZ_NO_FLUSH = 0,
MZ_PARTIAL_FLUSH = 1,
MZ_SYNC_FLUSH = 2,
MZ_FULL_FLUSH = 3,
MZ_FINISH = 4,
MZ_BLOCK = 5
};
// Return status codes. MZ_PARAM_ERROR is non-standard.
enum {
MZ_OK = 0,
MZ_STREAM_END = 1,
MZ_NEED_DICT = 2,
MZ_ERRNO = -1,
MZ_STREAM_ERROR = -2,
MZ_DATA_ERROR = -3,
MZ_MEM_ERROR = -4,
MZ_BUF_ERROR = -5,
MZ_VERSION_ERROR = -6,
MZ_PARAM_ERROR = -10000
};
// Compression levels: 0-9 are the standard zlib-style levels, 10 is best
// possible compression (not zlib compatible, and may be very slow),
// MZ_DEFAULT_COMPRESSION=MZ_DEFAULT_LEVEL.
enum {
MZ_NO_COMPRESSION = 0,
MZ_BEST_SPEED = 1,
MZ_BEST_COMPRESSION = 9,
MZ_UBER_COMPRESSION = 10,
MZ_DEFAULT_LEVEL = 6,
MZ_DEFAULT_COMPRESSION = -1
};
// Window bits
#define MZ_DEFAULT_WINDOW_BITS 15
struct mz_internal_state;
// Compression/decompression stream struct.
typedef struct mz_stream_s {
const unsigned char *next_in; // pointer to next byte to read
unsigned int avail_in; // number of bytes available at next_in
mz_ulong total_in; // total number of bytes consumed so far
unsigned char *next_out; // pointer to next byte to write
unsigned int avail_out; // number of bytes that can be written to next_out
mz_ulong total_out; // total number of bytes produced so far
char *msg; // error msg (unused)
struct mz_internal_state *state; // internal state, allocated by zalloc/zfree
mz_alloc_func
zalloc; // optional heap allocation function (defaults to malloc)
mz_free_func zfree; // optional heap free function (defaults to free)
void *opaque; // heap alloc function user pointer
int data_type; // data_type (unused)
mz_ulong adler; // adler32 of the source or uncompressed data
mz_ulong reserved; // not used
} mz_stream;
typedef mz_stream *mz_streamp;
// Returns the version string of miniz.c.
const char *mz_version(void);
// mz_deflateInit() initializes a compressor with default options:
// Parameters:
// pStream must point to an initialized mz_stream struct.
// level must be between [MZ_NO_COMPRESSION, MZ_BEST_COMPRESSION].
// level 1 enables a specially optimized compression function that's been
// optimized purely for performance, not ratio.
// (This special func. is currently only enabled when
// MINIZ_USE_UNALIGNED_LOADS_AND_STORES and MINIZ_LITTLE_ENDIAN are defined.)
// Return values:
// MZ_OK on success.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_PARAM_ERROR if the input parameters are bogus.
// MZ_MEM_ERROR on out of memory.
int mz_deflateInit(mz_streamp pStream, int level);
// mz_deflateInit2() is like mz_deflate(), except with more control:
// Additional parameters:
// method must be MZ_DEFLATED
// window_bits must be MZ_DEFAULT_WINDOW_BITS (to wrap the deflate stream with
// zlib header/adler-32 footer) or -MZ_DEFAULT_WINDOW_BITS (raw deflate/no
// header or footer)
// mem_level must be between [1, 9] (it's checked but ignored by miniz.c)
int mz_deflateInit2(mz_streamp pStream, int level, int method, int window_bits,
int mem_level, int strategy);
// Quickly resets a compressor without having to reallocate anything. Same as
// calling mz_deflateEnd() followed by mz_deflateInit()/mz_deflateInit2().
int mz_deflateReset(mz_streamp pStream);
// mz_deflate() compresses the input to output, consuming as much of the input
// and producing as much output as possible.
// Parameters:
// pStream is the stream to read from and write to. You must initialize/update
// the next_in, avail_in, next_out, and avail_out members.
// flush may be MZ_NO_FLUSH, MZ_PARTIAL_FLUSH/MZ_SYNC_FLUSH, MZ_FULL_FLUSH, or
// MZ_FINISH.
// Return values:
// MZ_OK on success (when flushing, or if more input is needed but not
// available, and/or there's more output to be written but the output buffer
// is full).
// MZ_STREAM_END if all input has been consumed and all output bytes have been
// written. Don't call mz_deflate() on the stream anymore.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_PARAM_ERROR if one of the parameters is invalid.
// MZ_BUF_ERROR if no forward progress is possible because the input and/or
// output buffers are empty. (Fill up the input buffer or free up some output
// space and try again.)
int mz_deflate(mz_streamp pStream, int flush);
// mz_deflateEnd() deinitializes a compressor:
// Return values:
// MZ_OK on success.
// MZ_STREAM_ERROR if the stream is bogus.
int mz_deflateEnd(mz_streamp pStream);
// mz_deflateBound() returns a (very) conservative upper bound on the amount of
// data that could be generated by deflate(), assuming flush is set to only
// MZ_NO_FLUSH or MZ_FINISH.
mz_ulong mz_deflateBound(mz_streamp pStream, mz_ulong source_len);
// Single-call compression functions mz_compress() and mz_compress2():
// Returns MZ_OK on success, or one of the error codes from mz_deflate() on
// failure.
int mz_compress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len);
int mz_compress2(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len, int level);
// mz_compressBound() returns a (very) conservative upper bound on the amount of
// data that could be generated by calling mz_compress().
mz_ulong mz_compressBound(mz_ulong source_len);
// Initializes a decompressor.
int mz_inflateInit(mz_streamp pStream);
// mz_inflateInit2() is like mz_inflateInit() with an additional option that
// controls the window size and whether or not the stream has been wrapped with
// a zlib header/footer:
// window_bits must be MZ_DEFAULT_WINDOW_BITS (to parse zlib header/footer) or
// -MZ_DEFAULT_WINDOW_BITS (raw deflate).
int mz_inflateInit2(mz_streamp pStream, int window_bits);
// Decompresses the input stream to the output, consuming only as much of the
// input as needed, and writing as much to the output as possible.
// Parameters:
// pStream is the stream to read from and write to. You must initialize/update
// the next_in, avail_in, next_out, and avail_out members.
// flush may be MZ_NO_FLUSH, MZ_SYNC_FLUSH, or MZ_FINISH.
// On the first call, if flush is MZ_FINISH it's assumed the input and output
// buffers are both sized large enough to decompress the entire stream in a
// single call (this is slightly faster).
// MZ_FINISH implies that there are no more source bytes available beside
// what's already in the input buffer, and that the output buffer is large
// enough to hold the rest of the decompressed data.
// Return values:
// MZ_OK on success. Either more input is needed but not available, and/or
// there's more output to be written but the output buffer is full.
// MZ_STREAM_END if all needed input has been consumed and all output bytes
// have been written. For zlib streams, the adler-32 of the decompressed data
// has also been verified.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_DATA_ERROR if the deflate stream is invalid.
// MZ_PARAM_ERROR if one of the parameters is invalid.
// MZ_BUF_ERROR if no forward progress is possible because the input buffer is
// empty but the inflater needs more input to continue, or if the output
// buffer is not large enough. Call mz_inflate() again
// with more input data, or with more room in the output buffer (except when
// using single call decompression, described above).
int mz_inflate(mz_streamp pStream, int flush);
// Deinitializes a decompressor.
int mz_inflateEnd(mz_streamp pStream);
// Single-call decompression.
// Returns MZ_OK on success, or one of the error codes from mz_inflate() on
// failure.
int mz_uncompress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len);
// Returns a string description of the specified error code, or NULL if the
// error code is invalid.
const char *mz_error(int err);
// Redefine zlib-compatible names to miniz equivalents, so miniz.c can be used
// as a drop-in replacement for the subset of zlib that miniz.c supports.
// Define MINIZ_NO_ZLIB_COMPATIBLE_NAMES to disable zlib-compatibility if you
// use zlib in the same project.
#ifndef MINIZ_NO_ZLIB_COMPATIBLE_NAMES
typedef unsigned char Byte;
typedef unsigned int uInt;
typedef mz_ulong uLong;
typedef Byte Bytef;
typedef uInt uIntf;
typedef char charf;
typedef int intf;
typedef void *voidpf;
typedef uLong uLongf;
typedef void *voidp;
typedef void *const voidpc;
#define Z_NULL 0
#define Z_NO_FLUSH MZ_NO_FLUSH
#define Z_PARTIAL_FLUSH MZ_PARTIAL_FLUSH
#define Z_SYNC_FLUSH MZ_SYNC_FLUSH
#define Z_FULL_FLUSH MZ_FULL_FLUSH
#define Z_FINISH MZ_FINISH
#define Z_BLOCK MZ_BLOCK
#define Z_OK MZ_OK
#define Z_STREAM_END MZ_STREAM_END
#define Z_NEED_DICT MZ_NEED_DICT
#define Z_ERRNO MZ_ERRNO
#define Z_STREAM_ERROR MZ_STREAM_ERROR
#define Z_DATA_ERROR MZ_DATA_ERROR
#define Z_MEM_ERROR MZ_MEM_ERROR
#define Z_BUF_ERROR MZ_BUF_ERROR
#define Z_VERSION_ERROR MZ_VERSION_ERROR
#define Z_PARAM_ERROR MZ_PARAM_ERROR
#define Z_NO_COMPRESSION MZ_NO_COMPRESSION
#define Z_BEST_SPEED MZ_BEST_SPEED
#define Z_BEST_COMPRESSION MZ_BEST_COMPRESSION
#define Z_DEFAULT_COMPRESSION MZ_DEFAULT_COMPRESSION
#define Z_DEFAULT_STRATEGY MZ_DEFAULT_STRATEGY
#define Z_FILTERED MZ_FILTERED
#define Z_HUFFMAN_ONLY MZ_HUFFMAN_ONLY
#define Z_RLE MZ_RLE
#define Z_FIXED MZ_FIXED
#define Z_DEFLATED MZ_DEFLATED
#define Z_DEFAULT_WINDOW_BITS MZ_DEFAULT_WINDOW_BITS
#define alloc_func mz_alloc_func
#define free_func mz_free_func
#define internal_state mz_internal_state
#define z_stream mz_stream
#define deflateInit mz_deflateInit
#define deflateInit2 mz_deflateInit2
#define deflateReset mz_deflateReset
#define deflate mz_deflate
#define deflateEnd mz_deflateEnd
#define deflateBound mz_deflateBound
#define compress mz_compress
#define compress2 mz_compress2
#define compressBound mz_compressBound
#define inflateInit mz_inflateInit
#define inflateInit2 mz_inflateInit2
#define inflate mz_inflate
#define inflateEnd mz_inflateEnd
#define uncompress mz_uncompress
#define crc32 mz_crc32
#define adler32 mz_adler32
#define MAX_WBITS 15
#define MAX_MEM_LEVEL 9
#define zError mz_error
#define ZLIB_VERSION MZ_VERSION
#define ZLIB_VERNUM MZ_VERNUM
#define ZLIB_VER_MAJOR MZ_VER_MAJOR
#define ZLIB_VER_MINOR MZ_VER_MINOR
#define ZLIB_VER_REVISION MZ_VER_REVISION
#define ZLIB_VER_SUBREVISION MZ_VER_SUBREVISION
#define zlibVersion mz_version
#define zlib_version mz_version()
#endif // #ifndef MINIZ_NO_ZLIB_COMPATIBLE_NAMES
#endif // MINIZ_NO_ZLIB_APIS
// ------------------- Types and macros
typedef unsigned char mz_uint8;
typedef signed short mz_int16;
typedef unsigned short mz_uint16;
typedef unsigned int mz_uint32;
typedef unsigned int mz_uint;
typedef long long mz_int64;
typedef unsigned long long mz_uint64;
typedef int mz_bool;
#define MZ_FALSE (0)
#define MZ_TRUE (1)
// An attempt to work around MSVC's spammy "warning C4127: conditional
// expression is constant" message.
#ifdef _MSC_VER
#define MZ_MACRO_END while (0, 0)
#else
#define MZ_MACRO_END while (0)
#endif
// ------------------- ZIP archive reading/writing
#ifndef MINIZ_NO_ARCHIVE_APIS
enum {
MZ_ZIP_MAX_IO_BUF_SIZE = 64 * 1024,
MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE = 260,
MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE = 256
};
typedef struct {
mz_uint32 m_file_index;
mz_uint32 m_central_dir_ofs;
mz_uint16 m_version_made_by;
mz_uint16 m_version_needed;
mz_uint16 m_bit_flag;
mz_uint16 m_method;
#ifndef MINIZ_NO_TIME
time_t m_time;
#endif
mz_uint32 m_crc32;
mz_uint64 m_comp_size;
mz_uint64 m_uncomp_size;
mz_uint16 m_internal_attr;
mz_uint32 m_external_attr;
mz_uint64 m_local_header_ofs;
mz_uint32 m_comment_size;
char m_filename[MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE];
char m_comment[MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE];
} mz_zip_archive_file_stat;
typedef size_t (*mz_file_read_func)(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n);
typedef size_t (*mz_file_write_func)(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n);
struct mz_zip_internal_state_tag;
typedef struct mz_zip_internal_state_tag mz_zip_internal_state;
typedef enum {
MZ_ZIP_MODE_INVALID = 0,
MZ_ZIP_MODE_READING = 1,
MZ_ZIP_MODE_WRITING = 2,
MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED = 3
} mz_zip_mode;
typedef struct mz_zip_archive_tag {
mz_uint64 m_archive_size;
mz_uint64 m_central_directory_file_ofs;
mz_uint m_total_files;
mz_zip_mode m_zip_mode;
mz_uint m_file_offset_alignment;
mz_alloc_func m_pAlloc;
mz_free_func m_pFree;
mz_realloc_func m_pRealloc;
void *m_pAlloc_opaque;
mz_file_read_func m_pRead;
mz_file_write_func m_pWrite;
void *m_pIO_opaque;
mz_zip_internal_state *m_pState;
} mz_zip_archive;
typedef enum {
MZ_ZIP_FLAG_CASE_SENSITIVE = 0x0100,
MZ_ZIP_FLAG_IGNORE_PATH = 0x0200,
MZ_ZIP_FLAG_COMPRESSED_DATA = 0x0400,
MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY = 0x0800
} mz_zip_flags;
// ZIP archive reading
// Inits a ZIP archive reader.
// These functions read and validate the archive's central directory.
mz_bool mz_zip_reader_init(mz_zip_archive *pZip, mz_uint64 size,
mz_uint32 flags);
mz_bool mz_zip_reader_init_mem(mz_zip_archive *pZip, const void *pMem,
size_t size, mz_uint32 flags);
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint32 flags);
#endif
// Returns the total number of files in the archive.
mz_uint mz_zip_reader_get_num_files(mz_zip_archive *pZip);
// Returns detailed information about an archive file entry.
mz_bool mz_zip_reader_file_stat(mz_zip_archive *pZip, mz_uint file_index,
mz_zip_archive_file_stat *pStat);
// Determines if an archive file entry is a directory entry.
mz_bool mz_zip_reader_is_file_a_directory(mz_zip_archive *pZip,
mz_uint file_index);
mz_bool mz_zip_reader_is_file_encrypted(mz_zip_archive *pZip,
mz_uint file_index);
// Retrieves the filename of an archive file entry.
// Returns the number of bytes written to pFilename, or if filename_buf_size is
// 0 this function returns the number of bytes needed to fully store the
// filename.
mz_uint mz_zip_reader_get_filename(mz_zip_archive *pZip, mz_uint file_index,
char *pFilename, mz_uint filename_buf_size);
// Attempts to locates a file in the archive's central directory.
// Valid flags: MZ_ZIP_FLAG_CASE_SENSITIVE, MZ_ZIP_FLAG_IGNORE_PATH
// Returns -1 if the file cannot be found.
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags);
// Extracts a archive file to a memory buffer using no memory allocation.
mz_bool mz_zip_reader_extract_to_mem_no_alloc(mz_zip_archive *pZip,
mz_uint file_index, void *pBuf,
size_t buf_size, mz_uint flags,
void *pUser_read_buf,
size_t user_read_buf_size);
mz_bool mz_zip_reader_extract_file_to_mem_no_alloc(
mz_zip_archive *pZip, const char *pFilename, void *pBuf, size_t buf_size,
mz_uint flags, void *pUser_read_buf, size_t user_read_buf_size);
// Extracts a archive file to a memory buffer.
mz_bool mz_zip_reader_extract_to_mem(mz_zip_archive *pZip, mz_uint file_index,
void *pBuf, size_t buf_size,
mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_mem(mz_zip_archive *pZip,
const char *pFilename, void *pBuf,
size_t buf_size, mz_uint flags);
// Extracts a archive file to a dynamically allocated heap buffer.
void *mz_zip_reader_extract_to_heap(mz_zip_archive *pZip, mz_uint file_index,
size_t *pSize, mz_uint flags);
void *mz_zip_reader_extract_file_to_heap(mz_zip_archive *pZip,
const char *pFilename, size_t *pSize,
mz_uint flags);
// Extracts a archive file using a callback function to output the file's data.
mz_bool mz_zip_reader_extract_to_callback(mz_zip_archive *pZip,
mz_uint file_index,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_callback(mz_zip_archive *pZip,
const char *pFilename,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags);
#ifndef MINIZ_NO_STDIO
// Extracts a archive file to a disk file and sets its last accessed and
// modified times.
// This function only extracts files, not archive directory records.
mz_bool mz_zip_reader_extract_to_file(mz_zip_archive *pZip, mz_uint file_index,
const char *pDst_filename, mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_file(mz_zip_archive *pZip,
const char *pArchive_filename,
const char *pDst_filename,
mz_uint flags);
#endif
// Ends archive reading, freeing all allocations, and closing the input archive
// file if mz_zip_reader_init_file() was used.
mz_bool mz_zip_reader_end(mz_zip_archive *pZip);
// ZIP archive writing
#ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
// Inits a ZIP archive writer.
mz_bool mz_zip_writer_init(mz_zip_archive *pZip, mz_uint64 existing_size);
mz_bool mz_zip_writer_init_heap(mz_zip_archive *pZip,
size_t size_to_reserve_at_beginning,
size_t initial_allocation_size);
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint64 size_to_reserve_at_beginning);
#endif
// Converts a ZIP archive reader object into a writer object, to allow efficient
// in-place file appends to occur on an existing archive.
// For archives opened using mz_zip_reader_init_file, pFilename must be the
// archive's filename so it can be reopened for writing. If the file can't be
// reopened, mz_zip_reader_end() will be called.
// For archives opened using mz_zip_reader_init_mem, the memory block must be
// growable using the realloc callback (which defaults to realloc unless you've
// overridden it).
// Finally, for archives opened using mz_zip_reader_init, the mz_zip_archive's
// user provided m_pWrite function cannot be NULL.
// Note: In-place archive modification is not recommended unless you know what
// you're doing, because if execution stops or something goes wrong before
// the archive is finalized the file's central directory will be hosed.
mz_bool mz_zip_writer_init_from_reader(mz_zip_archive *pZip,
const char *pFilename);
// Adds the contents of a memory buffer to an archive. These functions record
// the current local time into the archive.
// To add a directory entry, call this method with an archive name ending in a
// forwardslash with empty buffer.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_writer_add_mem(mz_zip_archive *pZip, const char *pArchive_name,
const void *pBuf, size_t buf_size,
mz_uint level_and_flags);
mz_bool mz_zip_writer_add_mem_ex(mz_zip_archive *pZip,
const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags, mz_uint64 uncomp_size,
mz_uint32 uncomp_crc32);
#ifndef MINIZ_NO_STDIO
// Adds the contents of a disk file to an archive. This function also records
// the disk file's modified time into the archive.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_writer_add_file(mz_zip_archive *pZip, const char *pArchive_name,
const char *pSrc_filename, const void *pComment,
mz_uint16 comment_size, mz_uint level_and_flags);
#endif
// Adds a file to an archive by fully cloning the data from another archive.
// This function fully clones the source file's compressed data (no
// recompression), along with its full filename, extra data, and comment fields.
mz_bool mz_zip_writer_add_from_zip_reader(mz_zip_archive *pZip,
mz_zip_archive *pSource_zip,
mz_uint file_index);
// Finalizes the archive by writing the central directory records followed by
// the end of central directory record.
// After an archive is finalized, the only valid call on the mz_zip_archive
// struct is mz_zip_writer_end().
// An archive must be manually finalized by calling this function for it to be
// valid.
mz_bool mz_zip_writer_finalize_archive(mz_zip_archive *pZip);
mz_bool mz_zip_writer_finalize_heap_archive(mz_zip_archive *pZip, void **pBuf,
size_t *pSize);
// Ends archive writing, freeing all allocations, and closing the output file if
// mz_zip_writer_init_file() was used.
// Note for the archive to be valid, it must have been finalized before ending.
mz_bool mz_zip_writer_end(mz_zip_archive *pZip);
// Misc. high-level helper functions:
// mz_zip_add_mem_to_archive_file_in_place() efficiently (but not atomically)
// appends a memory blob to a ZIP archive.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_add_mem_to_archive_file_in_place(
const char *pZip_filename, const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment, mz_uint16 comment_size,
mz_uint level_and_flags);
// Reads a single file from an archive into a heap block.
// Returns NULL on failure.
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename,
const char *pArchive_name,
size_t *pSize, mz_uint zip_flags);
#endif // #ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
#endif // #ifndef MINIZ_NO_ARCHIVE_APIS
// ------------------- Low-level Decompression API Definitions
// Decompression flags used by tinfl_decompress().
// TINFL_FLAG_PARSE_ZLIB_HEADER: If set, the input has a valid zlib header and
// ends with an adler32 checksum (it's a valid zlib stream). Otherwise, the
// input is a raw deflate stream.
// TINFL_FLAG_HAS_MORE_INPUT: If set, there are more input bytes available
// beyond the end of the supplied input buffer. If clear, the input buffer
// contains all remaining input.
// TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF: If set, the output buffer is large
// enough to hold the entire decompressed stream. If clear, the output buffer is
// at least the size of the dictionary (typically 32KB).
// TINFL_FLAG_COMPUTE_ADLER32: Force adler-32 checksum computation of the
// decompressed bytes.
enum {
TINFL_FLAG_PARSE_ZLIB_HEADER = 1,
TINFL_FLAG_HAS_MORE_INPUT = 2,
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF = 4,
TINFL_FLAG_COMPUTE_ADLER32 = 8
};
// High level decompression functions:
// tinfl_decompress_mem_to_heap() decompresses a block in memory to a heap block
// allocated via malloc().
// On entry:
// pSrc_buf, src_buf_len: Pointer and size of the Deflate or zlib source data
// to decompress.
// On return:
// Function returns a pointer to the decompressed data, or NULL on failure.
// *pOut_len will be set to the decompressed data's size, which could be larger
// than src_buf_len on uncompressible data.
// The caller must call mz_free() on the returned block when it's no longer
// needed.
void *tinfl_decompress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags);
// tinfl_decompress_mem_to_mem() decompresses a block in memory to another block
// in memory.
// Returns TINFL_DECOMPRESS_MEM_TO_MEM_FAILED on failure, or the number of bytes
// written on success.
#define TINFL_DECOMPRESS_MEM_TO_MEM_FAILED ((size_t)(-1))
size_t tinfl_decompress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags);
// tinfl_decompress_mem_to_callback() decompresses a block in memory to an
// internal 32KB buffer, and a user provided callback function will be called to
// flush the buffer.
// Returns 1 on success or 0 on failure.
typedef int (*tinfl_put_buf_func_ptr)(const void *pBuf, int len, void *pUser);
int tinfl_decompress_mem_to_callback(const void *pIn_buf, size_t *pIn_buf_size,
tinfl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
struct tinfl_decompressor_tag;
typedef struct tinfl_decompressor_tag tinfl_decompressor;
// Max size of LZ dictionary.
#define TINFL_LZ_DICT_SIZE 32768
// Return status.
typedef enum {
TINFL_STATUS_BAD_PARAM = -3,
TINFL_STATUS_ADLER32_MISMATCH = -2,
TINFL_STATUS_FAILED = -1,
TINFL_STATUS_DONE = 0,
TINFL_STATUS_NEEDS_MORE_INPUT = 1,
TINFL_STATUS_HAS_MORE_OUTPUT = 2
} tinfl_status;
// Initializes the decompressor to its initial state.
#define tinfl_init(r) \
do { \
(r)->m_state = 0; \
} \
MZ_MACRO_END
#define tinfl_get_adler32(r) (r)->m_check_adler32
// Main low-level decompressor coroutine function. This is the only function
// actually needed for decompression. All the other functions are just
// high-level helpers for improved usability.
// This is a universal API, i.e. it can be used as a building block to build any
// desired higher level decompression API. In the limit case, it can be called
// once per every byte input or output.
tinfl_status tinfl_decompress(tinfl_decompressor *r,
const mz_uint8 *pIn_buf_next,
size_t *pIn_buf_size, mz_uint8 *pOut_buf_start,
mz_uint8 *pOut_buf_next, size_t *pOut_buf_size,
const mz_uint32 decomp_flags);
// Internal/private bits follow.
enum {
TINFL_MAX_HUFF_TABLES = 3,
TINFL_MAX_HUFF_SYMBOLS_0 = 288,
TINFL_MAX_HUFF_SYMBOLS_1 = 32,
TINFL_MAX_HUFF_SYMBOLS_2 = 19,
TINFL_FAST_LOOKUP_BITS = 10,
TINFL_FAST_LOOKUP_SIZE = 1 << TINFL_FAST_LOOKUP_BITS
};
typedef struct {
mz_uint8 m_code_size[TINFL_MAX_HUFF_SYMBOLS_0];
mz_int16 m_look_up[TINFL_FAST_LOOKUP_SIZE],
m_tree[TINFL_MAX_HUFF_SYMBOLS_0 * 2];
} tinfl_huff_table;
#if MINIZ_HAS_64BIT_REGISTERS
#define TINFL_USE_64BIT_BITBUF 1
#endif
#if TINFL_USE_64BIT_BITBUF
typedef mz_uint64 tinfl_bit_buf_t;
#define TINFL_BITBUF_SIZE (64)
#else
typedef mz_uint32 tinfl_bit_buf_t;
#define TINFL_BITBUF_SIZE (32)
#endif
struct tinfl_decompressor_tag {
mz_uint32 m_state, m_num_bits, m_zhdr0, m_zhdr1, m_z_adler32, m_final, m_type,
m_check_adler32, m_dist, m_counter, m_num_extra,
m_table_sizes[TINFL_MAX_HUFF_TABLES];
tinfl_bit_buf_t m_bit_buf;
size_t m_dist_from_out_buf_start;
tinfl_huff_table m_tables[TINFL_MAX_HUFF_TABLES];
mz_uint8 m_raw_header[4],
m_len_codes[TINFL_MAX_HUFF_SYMBOLS_0 + TINFL_MAX_HUFF_SYMBOLS_1 + 137];
};
// ------------------- Low-level Compression API Definitions
// Set TDEFL_LESS_MEMORY to 1 to use less memory (compression will be slightly
// slower, and raw/dynamic blocks will be output more frequently).
#define TDEFL_LESS_MEMORY 0
// tdefl_init() compression flags logically OR'd together (low 12 bits contain
// the max. number of probes per dictionary search):
// TDEFL_DEFAULT_MAX_PROBES: The compressor defaults to 128 dictionary probes
// per dictionary search. 0=Huffman only, 1=Huffman+LZ (fastest/crap
// compression), 4095=Huffman+LZ (slowest/best compression).
enum {
TDEFL_HUFFMAN_ONLY = 0,
TDEFL_DEFAULT_MAX_PROBES = 128,
TDEFL_MAX_PROBES_MASK = 0xFFF
};
// TDEFL_WRITE_ZLIB_HEADER: If set, the compressor outputs a zlib header before
// the deflate data, and the Adler-32 of the source data at the end. Otherwise,
// you'll get raw deflate data.
// TDEFL_COMPUTE_ADLER32: Always compute the adler-32 of the input data (even
// when not writing zlib headers).
// TDEFL_GREEDY_PARSING_FLAG: Set to use faster greedy parsing, instead of more
// efficient lazy parsing.
// TDEFL_NONDETERMINISTIC_PARSING_FLAG: Enable to decrease the compressor's
// initialization time to the minimum, but the output may vary from run to run
// given the same input (depending on the contents of memory).
// TDEFL_RLE_MATCHES: Only look for RLE matches (matches with a distance of 1)
// TDEFL_FILTER_MATCHES: Discards matches <= 5 chars if enabled.
// TDEFL_FORCE_ALL_STATIC_BLOCKS: Disable usage of optimized Huffman tables.
// TDEFL_FORCE_ALL_RAW_BLOCKS: Only use raw (uncompressed) deflate blocks.
// The low 12 bits are reserved to control the max # of hash probes per
// dictionary lookup (see TDEFL_MAX_PROBES_MASK).
enum {
TDEFL_WRITE_ZLIB_HEADER = 0x01000,
TDEFL_COMPUTE_ADLER32 = 0x02000,
TDEFL_GREEDY_PARSING_FLAG = 0x04000,
TDEFL_NONDETERMINISTIC_PARSING_FLAG = 0x08000,
TDEFL_RLE_MATCHES = 0x10000,
TDEFL_FILTER_MATCHES = 0x20000,
TDEFL_FORCE_ALL_STATIC_BLOCKS = 0x40000,
TDEFL_FORCE_ALL_RAW_BLOCKS = 0x80000
};
// High level compression functions:
// tdefl_compress_mem_to_heap() compresses a block in memory to a heap block
// allocated via malloc().
// On entry:
// pSrc_buf, src_buf_len: Pointer and size of source block to compress.
// flags: The max match finder probes (default is 128) logically OR'd against
// the above flags. Higher probes are slower but improve compression.
// On return:
// Function returns a pointer to the compressed data, or NULL on failure.
// *pOut_len will be set to the compressed data's size, which could be larger
// than src_buf_len on uncompressible data.
// The caller must free() the returned block when it's no longer needed.
void *tdefl_compress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags);
// tdefl_compress_mem_to_mem() compresses a block in memory to another block in
// memory.
// Returns 0 on failure.
size_t tdefl_compress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags);
// Compresses an image to a compressed PNG file in memory.
// On entry:
// pImage, w, h, and num_chans describe the image to compress. num_chans may be
// 1, 2, 3, or 4.
// The image pitch in bytes per scanline will be w*num_chans. The leftmost
// pixel on the top scanline is stored first in memory.
// level may range from [0,10], use MZ_NO_COMPRESSION, MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc. or a decent default is MZ_DEFAULT_LEVEL
// If flip is true, the image will be flipped on the Y axis (useful for OpenGL
// apps).
// On return:
// Function returns a pointer to the compressed data, or NULL on failure.
// *pLen_out will be set to the size of the PNG image file.
// The caller must mz_free() the returned heap block (which will typically be
// larger than *pLen_out) when it's no longer needed.
void *tdefl_write_image_to_png_file_in_memory_ex(const void *pImage, int w,
int h, int num_chans,
size_t *pLen_out,
mz_uint level, mz_bool flip);
void *tdefl_write_image_to_png_file_in_memory(const void *pImage, int w, int h,
int num_chans, size_t *pLen_out);
// Output stream interface. The compressor uses this interface to write
// compressed data. It'll typically be called TDEFL_OUT_BUF_SIZE at a time.
typedef mz_bool (*tdefl_put_buf_func_ptr)(const void *pBuf, int len,
void *pUser);
// tdefl_compress_mem_to_output() compresses a block to an output stream. The
// above helpers use this function internally.
mz_bool tdefl_compress_mem_to_output(const void *pBuf, size_t buf_len,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
enum {
TDEFL_MAX_HUFF_TABLES = 3,
TDEFL_MAX_HUFF_SYMBOLS_0 = 288,
TDEFL_MAX_HUFF_SYMBOLS_1 = 32,
TDEFL_MAX_HUFF_SYMBOLS_2 = 19,
TDEFL_LZ_DICT_SIZE = 32768,
TDEFL_LZ_DICT_SIZE_MASK = TDEFL_LZ_DICT_SIZE - 1,
TDEFL_MIN_MATCH_LEN = 3,
TDEFL_MAX_MATCH_LEN = 258
};
// TDEFL_OUT_BUF_SIZE MUST be large enough to hold a single entire compressed
// output block (using static/fixed Huffman codes).
#if TDEFL_LESS_MEMORY
enum {
TDEFL_LZ_CODE_BUF_SIZE = 24 * 1024,
TDEFL_OUT_BUF_SIZE = (TDEFL_LZ_CODE_BUF_SIZE * 13) / 10,
TDEFL_MAX_HUFF_SYMBOLS = 288,
TDEFL_LZ_HASH_BITS = 12,
TDEFL_LEVEL1_HASH_SIZE_MASK = 4095,
TDEFL_LZ_HASH_SHIFT = (TDEFL_LZ_HASH_BITS + 2) / 3,
TDEFL_LZ_HASH_SIZE = 1 << TDEFL_LZ_HASH_BITS
};
#else
enum {
TDEFL_LZ_CODE_BUF_SIZE = 64 * 1024,
TDEFL_OUT_BUF_SIZE = (TDEFL_LZ_CODE_BUF_SIZE * 13) / 10,
TDEFL_MAX_HUFF_SYMBOLS = 288,
TDEFL_LZ_HASH_BITS = 15,
TDEFL_LEVEL1_HASH_SIZE_MASK = 4095,
TDEFL_LZ_HASH_SHIFT = (TDEFL_LZ_HASH_BITS + 2) / 3,
TDEFL_LZ_HASH_SIZE = 1 << TDEFL_LZ_HASH_BITS
};
#endif
// The low-level tdefl functions below may be used directly if the above helper
// functions aren't flexible enough. The low-level functions don't make any heap
// allocations, unlike the above helper functions.
typedef enum {
TDEFL_STATUS_BAD_PARAM = -2,
TDEFL_STATUS_PUT_BUF_FAILED = -1,
TDEFL_STATUS_OKAY = 0,
TDEFL_STATUS_DONE = 1
} tdefl_status;
// Must map to MZ_NO_FLUSH, MZ_SYNC_FLUSH, etc. enums
typedef enum {
TDEFL_NO_FLUSH = 0,
TDEFL_SYNC_FLUSH = 2,
TDEFL_FULL_FLUSH = 3,
TDEFL_FINISH = 4
} tdefl_flush;
// tdefl's compression state structure.
typedef struct {
tdefl_put_buf_func_ptr m_pPut_buf_func;
void *m_pPut_buf_user;
mz_uint m_flags, m_max_probes[2];
int m_greedy_parsing;
mz_uint m_adler32, m_lookahead_pos, m_lookahead_size, m_dict_size;
mz_uint8 *m_pLZ_code_buf, *m_pLZ_flags, *m_pOutput_buf, *m_pOutput_buf_end;
mz_uint m_num_flags_left, m_total_lz_bytes, m_lz_code_buf_dict_pos, m_bits_in,
m_bit_buffer;
mz_uint m_saved_match_dist, m_saved_match_len, m_saved_lit,
m_output_flush_ofs, m_output_flush_remaining, m_finished, m_block_index,
m_wants_to_finish;
tdefl_status m_prev_return_status;
const void *m_pIn_buf;
void *m_pOut_buf;
size_t *m_pIn_buf_size, *m_pOut_buf_size;
tdefl_flush m_flush;
const mz_uint8 *m_pSrc;
size_t m_src_buf_left, m_out_buf_ofs;
mz_uint8 m_dict[TDEFL_LZ_DICT_SIZE + TDEFL_MAX_MATCH_LEN - 1];
mz_uint16 m_huff_count[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint16 m_huff_codes[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint8 m_huff_code_sizes[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint8 m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE];
mz_uint16 m_next[TDEFL_LZ_DICT_SIZE];
mz_uint16 m_hash[TDEFL_LZ_HASH_SIZE];
mz_uint8 m_output_buf[TDEFL_OUT_BUF_SIZE];
} tdefl_compressor;
// Initializes the compressor.
// There is no corresponding deinit() function because the tdefl API's do not
// dynamically allocate memory.
// pBut_buf_func: If NULL, output data will be supplied to the specified
// callback. In this case, the user should call the tdefl_compress_buffer() API
// for compression.
// If pBut_buf_func is NULL the user should always call the tdefl_compress()
// API.
// flags: See the above enums (TDEFL_HUFFMAN_ONLY, TDEFL_WRITE_ZLIB_HEADER,
// etc.)
tdefl_status tdefl_init(tdefl_compressor *d,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
// Compresses a block of data, consuming as much of the specified input buffer
// as possible, and writing as much compressed data to the specified output
// buffer as possible.
tdefl_status tdefl_compress(tdefl_compressor *d, const void *pIn_buf,
size_t *pIn_buf_size, void *pOut_buf,
size_t *pOut_buf_size, tdefl_flush flush);
// tdefl_compress_buffer() is only usable when the tdefl_init() is called with a
// non-NULL tdefl_put_buf_func_ptr.
// tdefl_compress_buffer() always consumes the entire input buffer.
tdefl_status tdefl_compress_buffer(tdefl_compressor *d, const void *pIn_buf,
size_t in_buf_size, tdefl_flush flush);
tdefl_status tdefl_get_prev_return_status(tdefl_compressor *d);
mz_uint32 tdefl_get_adler32(tdefl_compressor *d);
// Can't use tdefl_create_comp_flags_from_zip_params if MINIZ_NO_ZLIB_APIS isn't
// defined, because it uses some of its macros.
#ifndef MINIZ_NO_ZLIB_APIS
// Create tdefl_compress() flags given zlib-style compression parameters.
// level may range from [0,10] (where 10 is absolute max compression, but may be
// much slower on some files)
// window_bits may be -15 (raw deflate) or 15 (zlib)
// strategy may be either MZ_DEFAULT_STRATEGY, MZ_FILTERED, MZ_HUFFMAN_ONLY,
// MZ_RLE, or MZ_FIXED
mz_uint tdefl_create_comp_flags_from_zip_params(int level, int window_bits,
int strategy);
#endif // #ifndef MINIZ_NO_ZLIB_APIS
#ifdef __cplusplus
}
#endif
#endif // MINIZ_HEADER_INCLUDED
// ------------------- End of Header: Implementation follows. (If you only want
// the header, define MINIZ_HEADER_FILE_ONLY.)
#ifndef MINIZ_HEADER_FILE_ONLY
typedef unsigned char mz_validate_uint16[sizeof(mz_uint16) == 2 ? 1 : -1];
typedef unsigned char mz_validate_uint32[sizeof(mz_uint32) == 4 ? 1 : -1];
typedef unsigned char mz_validate_uint64[sizeof(mz_uint64) == 8 ? 1 : -1];
//#include <assert.h>
//#include <string.h>
#define MZ_ASSERT(x) assert(x)
#ifdef MINIZ_NO_MALLOC
#define MZ_MALLOC(x) NULL
#define MZ_FREE(x) (void)x, ((void)0)
#define MZ_REALLOC(p, x) NULL
#else
#define MZ_MALLOC(x) malloc(x)
#define MZ_FREE(x) free(x)
#define MZ_REALLOC(p, x) realloc(p, x)
#endif
#define MZ_MAX(a, b) (((a) > (b)) ? (a) : (b))
#define MZ_MIN(a, b) (((a) < (b)) ? (a) : (b))
#define MZ_CLEAR_OBJ(obj) memset(&(obj), 0, sizeof(obj))
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
#define MZ_READ_LE16(p) *((const mz_uint16 *)(p))
#define MZ_READ_LE32(p) *((const mz_uint32 *)(p))
#else
#define MZ_READ_LE16(p) \
((mz_uint32)(((const mz_uint8 *)(p))[0]) | \
((mz_uint32)(((const mz_uint8 *)(p))[1]) << 8U))
#define MZ_READ_LE32(p) \
((mz_uint32)(((const mz_uint8 *)(p))[0]) | \
((mz_uint32)(((const mz_uint8 *)(p))[1]) << 8U) | \
((mz_uint32)(((const mz_uint8 *)(p))[2]) << 16U) | \
((mz_uint32)(((const mz_uint8 *)(p))[3]) << 24U))
#endif
#ifdef _MSC_VER
#define MZ_FORCEINLINE __forceinline
#elif defined(__GNUC__)
#define MZ_FORCEINLINE inline __attribute__((__always_inline__))
#else
#define MZ_FORCEINLINE inline
#endif
#ifdef __cplusplus
extern "C" {
#endif
// ------------------- zlib-style API's
mz_ulong mz_adler32(mz_ulong adler, const unsigned char *ptr, size_t buf_len) {
mz_uint32 i, s1 = (mz_uint32)(adler & 0xffff), s2 = (mz_uint32)(adler >> 16);
size_t block_len = buf_len % 5552;
if (!ptr) return MZ_ADLER32_INIT;
while (buf_len) {
for (i = 0; i + 7 < block_len; i += 8, ptr += 8) {
s1 += ptr[0], s2 += s1;
s1 += ptr[1], s2 += s1;
s1 += ptr[2], s2 += s1;
s1 += ptr[3], s2 += s1;
s1 += ptr[4], s2 += s1;
s1 += ptr[5], s2 += s1;
s1 += ptr[6], s2 += s1;
s1 += ptr[7], s2 += s1;
}
for (; i < block_len; ++i) s1 += *ptr++, s2 += s1;
s1 %= 65521U, s2 %= 65521U;
buf_len -= block_len;
block_len = 5552;
}
return (s2 << 16) + s1;
}
// Karl Malbrain's compact CRC-32. See "A compact CCITT crc16 and crc32 C
// implementation that balances processor cache usage against speed":
// http://www.geocities.com/malbrain/
mz_ulong mz_crc32(mz_ulong crc, const mz_uint8 *ptr, size_t buf_len) {
static const mz_uint32 s_crc32[16] = {
0, 0x1db71064, 0x3b6e20c8, 0x26d930ac, 0x76dc4190, 0x6b6b51f4,
0x4db26158, 0x5005713c, 0xedb88320, 0xf00f9344, 0xd6d6a3e8, 0xcb61b38c,
0x9b64c2b0, 0x86d3d2d4, 0xa00ae278, 0xbdbdf21c};
mz_uint32 crcu32 = (mz_uint32)crc;
if (!ptr) return MZ_CRC32_INIT;
crcu32 = ~crcu32;
while (buf_len--) {
mz_uint8 b = *ptr++;
crcu32 = (crcu32 >> 4) ^ s_crc32[(crcu32 & 0xF) ^ (b & 0xF)];
crcu32 = (crcu32 >> 4) ^ s_crc32[(crcu32 & 0xF) ^ (b >> 4)];
}
return ~crcu32;
}
void mz_free(void *p) { MZ_FREE(p); }
#ifndef MINIZ_NO_ZLIB_APIS
static void *def_alloc_func(void *opaque, size_t items, size_t size) {
(void)opaque, (void)items, (void)size;
return MZ_MALLOC(items * size);
}
static void def_free_func(void *opaque, void *address) {
(void)opaque, (void)address;
MZ_FREE(address);
}
// static void *def_realloc_func(void *opaque, void *address, size_t items,
// size_t size) {
// (void)opaque, (void)address, (void)items, (void)size;
// return MZ_REALLOC(address, items * size);
//}
const char *mz_version(void) { return MZ_VERSION; }
int mz_deflateInit(mz_streamp pStream, int level) {
return mz_deflateInit2(pStream, level, MZ_DEFLATED, MZ_DEFAULT_WINDOW_BITS, 9,
MZ_DEFAULT_STRATEGY);
}
int mz_deflateInit2(mz_streamp pStream, int level, int method, int window_bits,
int mem_level, int strategy) {
tdefl_compressor *pComp;
mz_uint comp_flags =
TDEFL_COMPUTE_ADLER32 |
tdefl_create_comp_flags_from_zip_params(level, window_bits, strategy);
if (!pStream) return MZ_STREAM_ERROR;
if ((method != MZ_DEFLATED) || ((mem_level < 1) || (mem_level > 9)) ||
((window_bits != MZ_DEFAULT_WINDOW_BITS) &&
(-window_bits != MZ_DEFAULT_WINDOW_BITS)))
return MZ_PARAM_ERROR;
pStream->data_type = 0;
pStream->adler = MZ_ADLER32_INIT;
pStream->msg = NULL;
pStream->reserved = 0;
pStream->total_in = 0;
pStream->total_out = 0;
if (!pStream->zalloc) pStream->zalloc = def_alloc_func;
if (!pStream->zfree) pStream->zfree = def_free_func;
pComp = (tdefl_compressor *)pStream->zalloc(pStream->opaque, 1,
sizeof(tdefl_compressor));
if (!pComp) return MZ_MEM_ERROR;
pStream->state = (struct mz_internal_state *)pComp;
if (tdefl_init(pComp, NULL, NULL, comp_flags) != TDEFL_STATUS_OKAY) {
mz_deflateEnd(pStream);
return MZ_PARAM_ERROR;
}
return MZ_OK;
}
int mz_deflateReset(mz_streamp pStream) {
if ((!pStream) || (!pStream->state) || (!pStream->zalloc) ||
(!pStream->zfree))
return MZ_STREAM_ERROR;
pStream->total_in = pStream->total_out = 0;
tdefl_init((tdefl_compressor *)pStream->state, NULL, NULL,
((tdefl_compressor *)pStream->state)->m_flags);
return MZ_OK;
}
int mz_deflate(mz_streamp pStream, int flush) {
size_t in_bytes, out_bytes;
mz_ulong orig_total_in, orig_total_out;
int mz_status = MZ_OK;
if ((!pStream) || (!pStream->state) || (flush < 0) || (flush > MZ_FINISH) ||
(!pStream->next_out))
return MZ_STREAM_ERROR;
if (!pStream->avail_out) return MZ_BUF_ERROR;
if (flush == MZ_PARTIAL_FLUSH) flush = MZ_SYNC_FLUSH;
if (((tdefl_compressor *)pStream->state)->m_prev_return_status ==
TDEFL_STATUS_DONE)
return (flush == MZ_FINISH) ? MZ_STREAM_END : MZ_BUF_ERROR;
orig_total_in = pStream->total_in;
orig_total_out = pStream->total_out;
for (;;) {
tdefl_status defl_status;
in_bytes = pStream->avail_in;
out_bytes = pStream->avail_out;
defl_status = tdefl_compress((tdefl_compressor *)pStream->state,
pStream->next_in, &in_bytes, pStream->next_out,
&out_bytes, (tdefl_flush)flush);
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tdefl_get_adler32((tdefl_compressor *)pStream->state);
pStream->next_out += (mz_uint)out_bytes;
pStream->avail_out -= (mz_uint)out_bytes;
pStream->total_out += (mz_uint)out_bytes;
if (defl_status < 0) {
mz_status = MZ_STREAM_ERROR;
break;
} else if (defl_status == TDEFL_STATUS_DONE) {
mz_status = MZ_STREAM_END;
break;
} else if (!pStream->avail_out)
break;
else if ((!pStream->avail_in) && (flush != MZ_FINISH)) {
if ((flush) || (pStream->total_in != orig_total_in) ||
(pStream->total_out != orig_total_out))
break;
return MZ_BUF_ERROR; // Can't make forward progress without some input.
}
}
return mz_status;
}
int mz_deflateEnd(mz_streamp pStream) {
if (!pStream) return MZ_STREAM_ERROR;
if (pStream->state) {
pStream->zfree(pStream->opaque, pStream->state);
pStream->state = NULL;
}
return MZ_OK;
}
mz_ulong mz_deflateBound(mz_streamp pStream, mz_ulong source_len) {
(void)pStream;
// This is really over conservative. (And lame, but it's actually pretty
// tricky to compute a true upper bound given the way tdefl's blocking works.)
return MZ_MAX(128 + (source_len * 110) / 100,
128 + source_len + ((source_len / (31 * 1024)) + 1) * 5);
}
int mz_compress2(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len, int level) {
int status;
mz_stream stream;
memset(&stream, 0, sizeof(stream));
// In case mz_ulong is 64-bits (argh I hate longs).
if ((source_len | *pDest_len) > 0xFFFFFFFFU) return MZ_PARAM_ERROR;
stream.next_in = pSource;
stream.avail_in = (mz_uint32)source_len;
stream.next_out = pDest;
stream.avail_out = (mz_uint32)*pDest_len;
status = mz_deflateInit(&stream, level);
if (status != MZ_OK) return status;
status = mz_deflate(&stream, MZ_FINISH);
if (status != MZ_STREAM_END) {
mz_deflateEnd(&stream);
return (status == MZ_OK) ? MZ_BUF_ERROR : status;
}
*pDest_len = stream.total_out;
return mz_deflateEnd(&stream);
}
int mz_compress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len) {
return mz_compress2(pDest, pDest_len, pSource, source_len,
MZ_DEFAULT_COMPRESSION);
}
mz_ulong mz_compressBound(mz_ulong source_len) {
return mz_deflateBound(NULL, source_len);
}
typedef struct {
tinfl_decompressor m_decomp;
mz_uint m_dict_ofs, m_dict_avail, m_first_call, m_has_flushed;
int m_window_bits;
mz_uint8 m_dict[TINFL_LZ_DICT_SIZE];
tinfl_status m_last_status;
} inflate_state;
int mz_inflateInit2(mz_streamp pStream, int window_bits) {
inflate_state *pDecomp;
if (!pStream) return MZ_STREAM_ERROR;
if ((window_bits != MZ_DEFAULT_WINDOW_BITS) &&
(-window_bits != MZ_DEFAULT_WINDOW_BITS))
return MZ_PARAM_ERROR;
pStream->data_type = 0;
pStream->adler = 0;
pStream->msg = NULL;
pStream->total_in = 0;
pStream->total_out = 0;
pStream->reserved = 0;
if (!pStream->zalloc) pStream->zalloc = def_alloc_func;
if (!pStream->zfree) pStream->zfree = def_free_func;
pDecomp = (inflate_state *)pStream->zalloc(pStream->opaque, 1,
sizeof(inflate_state));
if (!pDecomp) return MZ_MEM_ERROR;
pStream->state = (struct mz_internal_state *)pDecomp;
tinfl_init(&pDecomp->m_decomp);
pDecomp->m_dict_ofs = 0;
pDecomp->m_dict_avail = 0;
pDecomp->m_last_status = TINFL_STATUS_NEEDS_MORE_INPUT;
pDecomp->m_first_call = 1;
pDecomp->m_has_flushed = 0;
pDecomp->m_window_bits = window_bits;
return MZ_OK;
}
int mz_inflateInit(mz_streamp pStream) {
return mz_inflateInit2(pStream, MZ_DEFAULT_WINDOW_BITS);
}
int mz_inflate(mz_streamp pStream, int flush) {
inflate_state *pState;
mz_uint n, first_call, decomp_flags = TINFL_FLAG_COMPUTE_ADLER32;
size_t in_bytes, out_bytes, orig_avail_in;
tinfl_status status;
if ((!pStream) || (!pStream->state)) return MZ_STREAM_ERROR;
if (flush == MZ_PARTIAL_FLUSH) flush = MZ_SYNC_FLUSH;
if ((flush) && (flush != MZ_SYNC_FLUSH) && (flush != MZ_FINISH))
return MZ_STREAM_ERROR;
pState = (inflate_state *)pStream->state;
if (pState->m_window_bits > 0) decomp_flags |= TINFL_FLAG_PARSE_ZLIB_HEADER;
orig_avail_in = pStream->avail_in;
first_call = pState->m_first_call;
pState->m_first_call = 0;
if (pState->m_last_status < 0) return MZ_DATA_ERROR;
if (pState->m_has_flushed && (flush != MZ_FINISH)) return MZ_STREAM_ERROR;
pState->m_has_flushed |= (flush == MZ_FINISH);
if ((flush == MZ_FINISH) && (first_call)) {
// MZ_FINISH on the first call implies that the input and output buffers are
// large enough to hold the entire compressed/decompressed file.
decomp_flags |= TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF;
in_bytes = pStream->avail_in;
out_bytes = pStream->avail_out;
status = tinfl_decompress(&pState->m_decomp, pStream->next_in, &in_bytes,
pStream->next_out, pStream->next_out, &out_bytes,
decomp_flags);
pState->m_last_status = status;
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tinfl_get_adler32(&pState->m_decomp);
pStream->next_out += (mz_uint)out_bytes;
pStream->avail_out -= (mz_uint)out_bytes;
pStream->total_out += (mz_uint)out_bytes;
if (status < 0)
return MZ_DATA_ERROR;
else if (status != TINFL_STATUS_DONE) {
pState->m_last_status = TINFL_STATUS_FAILED;
return MZ_BUF_ERROR;
}
return MZ_STREAM_END;
}
// flush != MZ_FINISH then we must assume there's more input.
if (flush != MZ_FINISH) decomp_flags |= TINFL_FLAG_HAS_MORE_INPUT;
if (pState->m_dict_avail) {
n = MZ_MIN(pState->m_dict_avail, pStream->avail_out);
memcpy(pStream->next_out, pState->m_dict + pState->m_dict_ofs, n);
pStream->next_out += n;
pStream->avail_out -= n;
pStream->total_out += n;
pState->m_dict_avail -= n;
pState->m_dict_ofs = (pState->m_dict_ofs + n) & (TINFL_LZ_DICT_SIZE - 1);
return ((pState->m_last_status == TINFL_STATUS_DONE) &&
(!pState->m_dict_avail))
? MZ_STREAM_END
: MZ_OK;
}
for (;;) {
in_bytes = pStream->avail_in;
out_bytes = TINFL_LZ_DICT_SIZE - pState->m_dict_ofs;
status = tinfl_decompress(
&pState->m_decomp, pStream->next_in, &in_bytes, pState->m_dict,
pState->m_dict + pState->m_dict_ofs, &out_bytes, decomp_flags);
pState->m_last_status = status;
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tinfl_get_adler32(&pState->m_decomp);
pState->m_dict_avail = (mz_uint)out_bytes;
n = MZ_MIN(pState->m_dict_avail, pStream->avail_out);
memcpy(pStream->next_out, pState->m_dict + pState->m_dict_ofs, n);
pStream->next_out += n;
pStream->avail_out -= n;
pStream->total_out += n;
pState->m_dict_avail -= n;
pState->m_dict_ofs = (pState->m_dict_ofs + n) & (TINFL_LZ_DICT_SIZE - 1);
if (status < 0)
return MZ_DATA_ERROR; // Stream is corrupted (there could be some
// uncompressed data left in the output dictionary -
// oh well).
else if ((status == TINFL_STATUS_NEEDS_MORE_INPUT) && (!orig_avail_in))
return MZ_BUF_ERROR; // Signal caller that we can't make forward progress
// without supplying more input or by setting flush
// to MZ_FINISH.
else if (flush == MZ_FINISH) {
// The output buffer MUST be large to hold the remaining uncompressed data
// when flush==MZ_FINISH.
if (status == TINFL_STATUS_DONE)
return pState->m_dict_avail ? MZ_BUF_ERROR : MZ_STREAM_END;
// status here must be TINFL_STATUS_HAS_MORE_OUTPUT, which means there's
// at least 1 more byte on the way. If there's no more room left in the
// output buffer then something is wrong.
else if (!pStream->avail_out)
return MZ_BUF_ERROR;
} else if ((status == TINFL_STATUS_DONE) || (!pStream->avail_in) ||
(!pStream->avail_out) || (pState->m_dict_avail))
break;
}
return ((status == TINFL_STATUS_DONE) && (!pState->m_dict_avail))
? MZ_STREAM_END
: MZ_OK;
}
int mz_inflateEnd(mz_streamp pStream) {
if (!pStream) return MZ_STREAM_ERROR;
if (pStream->state) {
pStream->zfree(pStream->opaque, pStream->state);
pStream->state = NULL;
}
return MZ_OK;
}
int mz_uncompress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len) {
mz_stream stream;
int status;
memset(&stream, 0, sizeof(stream));
// In case mz_ulong is 64-bits (argh I hate longs).
if ((source_len | *pDest_len) > 0xFFFFFFFFU) return MZ_PARAM_ERROR;
stream.next_in = pSource;
stream.avail_in = (mz_uint32)source_len;
stream.next_out = pDest;
stream.avail_out = (mz_uint32)*pDest_len;
status = mz_inflateInit(&stream);
if (status != MZ_OK) return status;
status = mz_inflate(&stream, MZ_FINISH);
if (status != MZ_STREAM_END) {
mz_inflateEnd(&stream);
return ((status == MZ_BUF_ERROR) && (!stream.avail_in)) ? MZ_DATA_ERROR
: status;
}
*pDest_len = stream.total_out;
return mz_inflateEnd(&stream);
}
const char *mz_error(int err) {
static struct {
int m_err;
const char *m_pDesc;
} s_error_descs[] = {{MZ_OK, ""},
{MZ_STREAM_END, "stream end"},
{MZ_NEED_DICT, "need dictionary"},
{MZ_ERRNO, "file error"},
{MZ_STREAM_ERROR, "stream error"},
{MZ_DATA_ERROR, "data error"},
{MZ_MEM_ERROR, "out of memory"},
{MZ_BUF_ERROR, "buf error"},
{MZ_VERSION_ERROR, "version error"},
{MZ_PARAM_ERROR, "parameter error"}};
mz_uint i;
for (i = 0; i < sizeof(s_error_descs) / sizeof(s_error_descs[0]); ++i)
if (s_error_descs[i].m_err == err) return s_error_descs[i].m_pDesc;
return NULL;
}
#endif // MINIZ_NO_ZLIB_APIS
// ------------------- Low-level Decompression (completely independent from all
// compression API's)
#define TINFL_MEMCPY(d, s, l) memcpy(d, s, l)
#define TINFL_MEMSET(p, c, l) memset(p, c, l)
#define TINFL_CR_BEGIN \
switch (r->m_state) { \
case 0:
#define TINFL_CR_RETURN(state_index, result) \
do { \
status = result; \
r->m_state = state_index; \
goto common_exit; \
case state_index:; \
} \
MZ_MACRO_END
#define TINFL_CR_RETURN_FOREVER(state_index, result) \
do { \
for (;;) { \
TINFL_CR_RETURN(state_index, result); \
} \
} \
MZ_MACRO_END
#define TINFL_CR_FINISH }
// TODO: If the caller has indicated that there's no more input, and we attempt
// to read beyond the input buf, then something is wrong with the input because
// the inflator never
// reads ahead more than it needs to. Currently TINFL_GET_BYTE() pads the end of
// the stream with 0's in this scenario.
#define TINFL_GET_BYTE(state_index, c) \
do { \
if (pIn_buf_cur >= pIn_buf_end) { \
for (;;) { \
if (decomp_flags & TINFL_FLAG_HAS_MORE_INPUT) { \
TINFL_CR_RETURN(state_index, TINFL_STATUS_NEEDS_MORE_INPUT); \
if (pIn_buf_cur < pIn_buf_end) { \
c = *pIn_buf_cur++; \
break; \
} \
} else { \
c = 0; \
break; \
} \
} \
} else \
c = *pIn_buf_cur++; \
} \
MZ_MACRO_END
#define TINFL_NEED_BITS(state_index, n) \
do { \
mz_uint c; \
TINFL_GET_BYTE(state_index, c); \
bit_buf |= (((tinfl_bit_buf_t)c) << num_bits); \
num_bits += 8; \
} while (num_bits < (mz_uint)(n))
#define TINFL_SKIP_BITS(state_index, n) \
do { \
if (num_bits < (mz_uint)(n)) { \
TINFL_NEED_BITS(state_index, n); \
} \
bit_buf >>= (n); \
num_bits -= (n); \
} \
MZ_MACRO_END
#define TINFL_GET_BITS(state_index, b, n) \
do { \
if (num_bits < (mz_uint)(n)) { \
TINFL_NEED_BITS(state_index, n); \
} \
b = bit_buf & ((1 << (n)) - 1); \
bit_buf >>= (n); \
num_bits -= (n); \
} \
MZ_MACRO_END
// TINFL_HUFF_BITBUF_FILL() is only used rarely, when the number of bytes
// remaining in the input buffer falls below 2.
// It reads just enough bytes from the input stream that are needed to decode
// the next Huffman code (and absolutely no more). It works by trying to fully
// decode a
// Huffman code by using whatever bits are currently present in the bit buffer.
// If this fails, it reads another byte, and tries again until it succeeds or
// until the
// bit buffer contains >=15 bits (deflate's max. Huffman code size).
#define TINFL_HUFF_BITBUF_FILL(state_index, pHuff) \
do { \
temp = (pHuff)->m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]; \
if (temp >= 0) { \
code_len = temp >> 9; \
if ((code_len) && (num_bits >= code_len)) break; \
} else if (num_bits > TINFL_FAST_LOOKUP_BITS) { \
code_len = TINFL_FAST_LOOKUP_BITS; \
do { \
temp = (pHuff)->m_tree[~temp + ((bit_buf >> code_len++) & 1)]; \
} while ((temp < 0) && (num_bits >= (code_len + 1))); \
if (temp >= 0) break; \
} \
TINFL_GET_BYTE(state_index, c); \
bit_buf |= (((tinfl_bit_buf_t)c) << num_bits); \
num_bits += 8; \
} while (num_bits < 15);
// TINFL_HUFF_DECODE() decodes the next Huffman coded symbol. It's more complex
// than you would initially expect because the zlib API expects the decompressor
// to never read
// beyond the final byte of the deflate stream. (In other words, when this macro
// wants to read another byte from the input, it REALLY needs another byte in
// order to fully
// decode the next Huffman code.) Handling this properly is particularly
// important on raw deflate (non-zlib) streams, which aren't followed by a byte
// aligned adler-32.
// The slow path is only executed at the very end of the input buffer.
#define TINFL_HUFF_DECODE(state_index, sym, pHuff) \
do { \
int temp; \
mz_uint code_len, c; \
if (num_bits < 15) { \
if ((pIn_buf_end - pIn_buf_cur) < 2) { \
TINFL_HUFF_BITBUF_FILL(state_index, pHuff); \
} else { \
bit_buf |= (((tinfl_bit_buf_t)pIn_buf_cur[0]) << num_bits) | \
(((tinfl_bit_buf_t)pIn_buf_cur[1]) << (num_bits + 8)); \
pIn_buf_cur += 2; \
num_bits += 16; \
} \
} \
if ((temp = (pHuff)->m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >= \
0) \
code_len = temp >> 9, temp &= 511; \
else { \
code_len = TINFL_FAST_LOOKUP_BITS; \
do { \
temp = (pHuff)->m_tree[~temp + ((bit_buf >> code_len++) & 1)]; \
} while (temp < 0); \
} \
sym = temp; \
bit_buf >>= code_len; \
num_bits -= code_len; \
} \
MZ_MACRO_END
tinfl_status tinfl_decompress(tinfl_decompressor *r,
const mz_uint8 *pIn_buf_next,
size_t *pIn_buf_size, mz_uint8 *pOut_buf_start,
mz_uint8 *pOut_buf_next, size_t *pOut_buf_size,
const mz_uint32 decomp_flags) {
static const int s_length_base[31] = {
3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19, 23, 27, 31,
35, 43, 51, 59, 67, 83, 99, 115, 131, 163, 195, 227, 258, 0, 0};
static const int s_length_extra[31] = {0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4,
4, 4, 5, 5, 5, 5, 0, 0, 0};
static const int s_dist_base[32] = {
1, 2, 3, 4, 5, 7, 9, 13, 17, 25, 33,
49, 65, 97, 129, 193, 257, 385, 513, 769, 1025, 1537,
2049, 3073, 4097, 6145, 8193, 12289, 16385, 24577, 0, 0};
static const int s_dist_extra[32] = {0, 0, 0, 0, 1, 1, 2, 2, 3, 3,
4, 4, 5, 5, 6, 6, 7, 7, 8, 8,
9, 9, 10, 10, 11, 11, 12, 12, 13, 13};
static const mz_uint8 s_length_dezigzag[19] = {
16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15};
static const int s_min_table_sizes[3] = {257, 1, 4};
tinfl_status status = TINFL_STATUS_FAILED;
mz_uint32 num_bits, dist, counter, num_extra;
tinfl_bit_buf_t bit_buf;
const mz_uint8 *pIn_buf_cur = pIn_buf_next, *const pIn_buf_end =
pIn_buf_next + *pIn_buf_size;
mz_uint8 *pOut_buf_cur = pOut_buf_next, *const pOut_buf_end =
pOut_buf_next + *pOut_buf_size;
size_t out_buf_size_mask =
(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)
? (size_t)-1
: ((pOut_buf_next - pOut_buf_start) + *pOut_buf_size) - 1,
dist_from_out_buf_start;
// Ensure the output buffer's size is a power of 2, unless the output buffer
// is large enough to hold the entire output file (in which case it doesn't
// matter).
if (((out_buf_size_mask + 1) & out_buf_size_mask) ||
(pOut_buf_next < pOut_buf_start)) {
*pIn_buf_size = *pOut_buf_size = 0;
return TINFL_STATUS_BAD_PARAM;
}
num_bits = r->m_num_bits;
bit_buf = r->m_bit_buf;
dist = r->m_dist;
counter = r->m_counter;
num_extra = r->m_num_extra;
dist_from_out_buf_start = r->m_dist_from_out_buf_start;
TINFL_CR_BEGIN
bit_buf = num_bits = dist = counter = num_extra = r->m_zhdr0 = r->m_zhdr1 = 0;
r->m_z_adler32 = r->m_check_adler32 = 1;
if (decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) {
TINFL_GET_BYTE(1, r->m_zhdr0);
TINFL_GET_BYTE(2, r->m_zhdr1);
counter = (((r->m_zhdr0 * 256 + r->m_zhdr1) % 31 != 0) ||
(r->m_zhdr1 & 32) || ((r->m_zhdr0 & 15) != 8));
if (!(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF))
counter |= (((1U << (8U + (r->m_zhdr0 >> 4))) > 32768U) ||
((out_buf_size_mask + 1) <
(size_t)(1ULL << (8U + (r->m_zhdr0 >> 4)))));
if (counter) {
TINFL_CR_RETURN_FOREVER(36, TINFL_STATUS_FAILED);
}
}
do {
TINFL_GET_BITS(3, r->m_final, 3);
r->m_type = r->m_final >> 1;
if (r->m_type == 0) {
TINFL_SKIP_BITS(5, num_bits & 7);
for (counter = 0; counter < 4; ++counter) {
if (num_bits)
TINFL_GET_BITS(6, r->m_raw_header[counter], 8);
else
TINFL_GET_BYTE(7, r->m_raw_header[counter]);
}
if ((counter = (r->m_raw_header[0] | (r->m_raw_header[1] << 8))) !=
(mz_uint)(0xFFFF ^
(r->m_raw_header[2] | (r->m_raw_header[3] << 8)))) {
TINFL_CR_RETURN_FOREVER(39, TINFL_STATUS_FAILED);
}
while ((counter) && (num_bits)) {
TINFL_GET_BITS(51, dist, 8);
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(52, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ = (mz_uint8)dist;
counter--;
}
while (counter) {
size_t n;
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(9, TINFL_STATUS_HAS_MORE_OUTPUT);
}
while (pIn_buf_cur >= pIn_buf_end) {
if (decomp_flags & TINFL_FLAG_HAS_MORE_INPUT) {
TINFL_CR_RETURN(38, TINFL_STATUS_NEEDS_MORE_INPUT);
} else {
TINFL_CR_RETURN_FOREVER(40, TINFL_STATUS_FAILED);
}
}
n = MZ_MIN(MZ_MIN((size_t)(pOut_buf_end - pOut_buf_cur),
(size_t)(pIn_buf_end - pIn_buf_cur)),
counter);
TINFL_MEMCPY(pOut_buf_cur, pIn_buf_cur, n);
pIn_buf_cur += n;
pOut_buf_cur += n;
counter -= (mz_uint)n;
}
} else if (r->m_type == 3) {
TINFL_CR_RETURN_FOREVER(10, TINFL_STATUS_FAILED);
} else {
if (r->m_type == 1) {
mz_uint8 *p = r->m_tables[0].m_code_size;
mz_uint i;
r->m_table_sizes[0] = 288;
r->m_table_sizes[1] = 32;
TINFL_MEMSET(r->m_tables[1].m_code_size, 5, 32);
for (i = 0; i <= 143; ++i) *p++ = 8;
for (; i <= 255; ++i) *p++ = 9;
for (; i <= 279; ++i) *p++ = 7;
for (; i <= 287; ++i) *p++ = 8;
} else {
for (counter = 0; counter < 3; counter++) {
TINFL_GET_BITS(11, r->m_table_sizes[counter], "\05\05\04"[counter]);
r->m_table_sizes[counter] += s_min_table_sizes[counter];
}
MZ_CLEAR_OBJ(r->m_tables[2].m_code_size);
for (counter = 0; counter < r->m_table_sizes[2]; counter++) {
mz_uint s;
TINFL_GET_BITS(14, s, 3);
r->m_tables[2].m_code_size[s_length_dezigzag[counter]] = (mz_uint8)s;
}
r->m_table_sizes[2] = 19;
}
for (; (int)r->m_type >= 0; r->m_type--) {
int tree_next, tree_cur;
tinfl_huff_table *pTable;
mz_uint i, j, used_syms, total, sym_index, next_code[17],
total_syms[16];
pTable = &r->m_tables[r->m_type];
MZ_CLEAR_OBJ(total_syms);
MZ_CLEAR_OBJ(pTable->m_look_up);
MZ_CLEAR_OBJ(pTable->m_tree);
for (i = 0; i < r->m_table_sizes[r->m_type]; ++i)
total_syms[pTable->m_code_size[i]]++;
used_syms = 0, total = 0;
next_code[0] = next_code[1] = 0;
for (i = 1; i <= 15; ++i) {
used_syms += total_syms[i];
next_code[i + 1] = (total = ((total + total_syms[i]) << 1));
}
if ((65536 != total) && (used_syms > 1)) {
TINFL_CR_RETURN_FOREVER(35, TINFL_STATUS_FAILED);
}
for (tree_next = -1, sym_index = 0;
sym_index < r->m_table_sizes[r->m_type]; ++sym_index) {
mz_uint rev_code = 0, l, cur_code,
code_size = pTable->m_code_size[sym_index];
if (!code_size) continue;
cur_code = next_code[code_size]++;
for (l = code_size; l > 0; l--, cur_code >>= 1)
rev_code = (rev_code << 1) | (cur_code & 1);
if (code_size <= TINFL_FAST_LOOKUP_BITS) {
mz_int16 k = (mz_int16)((code_size << 9) | sym_index);
while (rev_code < TINFL_FAST_LOOKUP_SIZE) {
pTable->m_look_up[rev_code] = k;
rev_code += (1 << code_size);
}
continue;
}
if (0 ==
(tree_cur = pTable->m_look_up[rev_code &
(TINFL_FAST_LOOKUP_SIZE - 1)])) {
pTable->m_look_up[rev_code & (TINFL_FAST_LOOKUP_SIZE - 1)] =
(mz_int16)tree_next;
tree_cur = tree_next;
tree_next -= 2;
}
rev_code >>= (TINFL_FAST_LOOKUP_BITS - 1);
for (j = code_size; j > (TINFL_FAST_LOOKUP_BITS + 1); j--) {
tree_cur -= ((rev_code >>= 1) & 1);
if (!pTable->m_tree[-tree_cur - 1]) {
pTable->m_tree[-tree_cur - 1] = (mz_int16)tree_next;
tree_cur = tree_next;
tree_next -= 2;
} else
tree_cur = pTable->m_tree[-tree_cur - 1];
}
tree_cur -= ((rev_code >>= 1) & 1);
pTable->m_tree[-tree_cur - 1] = (mz_int16)sym_index;
}
if (r->m_type == 2) {
for (counter = 0;
counter < (r->m_table_sizes[0] + r->m_table_sizes[1]);) {
mz_uint s;
TINFL_HUFF_DECODE(16, dist, &r->m_tables[2]);
if (dist < 16) {
r->m_len_codes[counter++] = (mz_uint8)dist;
continue;
}
if ((dist == 16) && (!counter)) {
TINFL_CR_RETURN_FOREVER(17, TINFL_STATUS_FAILED);
}
num_extra = "\02\03\07"[dist - 16];
TINFL_GET_BITS(18, s, num_extra);
s += "\03\03\013"[dist - 16];
TINFL_MEMSET(r->m_len_codes + counter,
(dist == 16) ? r->m_len_codes[counter - 1] : 0, s);
counter += s;
}
if ((r->m_table_sizes[0] + r->m_table_sizes[1]) != counter) {
TINFL_CR_RETURN_FOREVER(21, TINFL_STATUS_FAILED);
}
TINFL_MEMCPY(r->m_tables[0].m_code_size, r->m_len_codes,
r->m_table_sizes[0]);
TINFL_MEMCPY(r->m_tables[1].m_code_size,
r->m_len_codes + r->m_table_sizes[0],
r->m_table_sizes[1]);
}
}
for (;;) {
mz_uint8 *pSrc;
for (;;) {
if (((pIn_buf_end - pIn_buf_cur) < 4) ||
((pOut_buf_end - pOut_buf_cur) < 2)) {
TINFL_HUFF_DECODE(23, counter, &r->m_tables[0]);
if (counter >= 256) break;
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(24, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ = (mz_uint8)counter;
} else {
int sym2;
mz_uint code_len;
#if TINFL_USE_64BIT_BITBUF
if (num_bits < 30) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE32(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 4;
num_bits += 32;
}
#else
if (num_bits < 15) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE16(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 2;
num_bits += 16;
}
#endif
if ((sym2 =
r->m_tables[0]
.m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >=
0)
code_len = sym2 >> 9;
else {
code_len = TINFL_FAST_LOOKUP_BITS;
do {
sym2 = r->m_tables[0]
.m_tree[~sym2 + ((bit_buf >> code_len++) & 1)];
} while (sym2 < 0);
}
counter = sym2;
bit_buf >>= code_len;
num_bits -= code_len;
if (counter & 256) break;
#if !TINFL_USE_64BIT_BITBUF
if (num_bits < 15) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE16(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 2;
num_bits += 16;
}
#endif
if ((sym2 =
r->m_tables[0]
.m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >=
0)
code_len = sym2 >> 9;
else {
code_len = TINFL_FAST_LOOKUP_BITS;
do {
sym2 = r->m_tables[0]
.m_tree[~sym2 + ((bit_buf >> code_len++) & 1)];
} while (sym2 < 0);
}
bit_buf >>= code_len;
num_bits -= code_len;
pOut_buf_cur[0] = (mz_uint8)counter;
if (sym2 & 256) {
pOut_buf_cur++;
counter = sym2;
break;
}
pOut_buf_cur[1] = (mz_uint8)sym2;
pOut_buf_cur += 2;
}
}
if ((counter &= 511) == 256) break;
num_extra = s_length_extra[counter - 257];
counter = s_length_base[counter - 257];
if (num_extra) {
mz_uint extra_bits;
TINFL_GET_BITS(25, extra_bits, num_extra);
counter += extra_bits;
}
TINFL_HUFF_DECODE(26, dist, &r->m_tables[1]);
num_extra = s_dist_extra[dist];
dist = s_dist_base[dist];
if (num_extra) {
mz_uint extra_bits;
TINFL_GET_BITS(27, extra_bits, num_extra);
dist += extra_bits;
}
dist_from_out_buf_start = pOut_buf_cur - pOut_buf_start;
if ((dist > dist_from_out_buf_start) &&
(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)) {
TINFL_CR_RETURN_FOREVER(37, TINFL_STATUS_FAILED);
}
pSrc = pOut_buf_start +
((dist_from_out_buf_start - dist) & out_buf_size_mask);
if ((MZ_MAX(pOut_buf_cur, pSrc) + counter) > pOut_buf_end) {
while (counter--) {
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(53, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ =
pOut_buf_start[(dist_from_out_buf_start++ - dist) &
out_buf_size_mask];
}
continue;
}
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
else if ((counter >= 9) && (counter <= dist)) {
const mz_uint8 *pSrc_end = pSrc + (counter & ~7);
do {
((mz_uint32 *)pOut_buf_cur)[0] = ((const mz_uint32 *)pSrc)[0];
((mz_uint32 *)pOut_buf_cur)[1] = ((const mz_uint32 *)pSrc)[1];
pOut_buf_cur += 8;
} while ((pSrc += 8) < pSrc_end);
if ((counter &= 7) < 3) {
if (counter) {
pOut_buf_cur[0] = pSrc[0];
if (counter > 1) pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur += counter;
}
continue;
}
}
#endif
do {
pOut_buf_cur[0] = pSrc[0];
pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur[2] = pSrc[2];
pOut_buf_cur += 3;
pSrc += 3;
} while ((int)(counter -= 3) > 2);
if ((int)counter > 0) {
pOut_buf_cur[0] = pSrc[0];
if ((int)counter > 1) pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur += counter;
}
}
}
} while (!(r->m_final & 1));
if (decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) {
TINFL_SKIP_BITS(32, num_bits & 7);
for (counter = 0; counter < 4; ++counter) {
mz_uint s;
if (num_bits)
TINFL_GET_BITS(41, s, 8);
else
TINFL_GET_BYTE(42, s);
r->m_z_adler32 = (r->m_z_adler32 << 8) | s;
}
}
TINFL_CR_RETURN_FOREVER(34, TINFL_STATUS_DONE);
TINFL_CR_FINISH
common_exit:
r->m_num_bits = num_bits;
r->m_bit_buf = bit_buf;
r->m_dist = dist;
r->m_counter = counter;
r->m_num_extra = num_extra;
r->m_dist_from_out_buf_start = dist_from_out_buf_start;
*pIn_buf_size = pIn_buf_cur - pIn_buf_next;
*pOut_buf_size = pOut_buf_cur - pOut_buf_next;
if ((decomp_flags &
(TINFL_FLAG_PARSE_ZLIB_HEADER | TINFL_FLAG_COMPUTE_ADLER32)) &&
(status >= 0)) {
const mz_uint8 *ptr = pOut_buf_next;
size_t buf_len = *pOut_buf_size;
mz_uint32 i, s1 = r->m_check_adler32 & 0xffff,
s2 = r->m_check_adler32 >> 16;
size_t block_len = buf_len % 5552;
while (buf_len) {
for (i = 0; i + 7 < block_len; i += 8, ptr += 8) {
s1 += ptr[0], s2 += s1;
s1 += ptr[1], s2 += s1;
s1 += ptr[2], s2 += s1;
s1 += ptr[3], s2 += s1;
s1 += ptr[4], s2 += s1;
s1 += ptr[5], s2 += s1;
s1 += ptr[6], s2 += s1;
s1 += ptr[7], s2 += s1;
}
for (; i < block_len; ++i) s1 += *ptr++, s2 += s1;
s1 %= 65521U, s2 %= 65521U;
buf_len -= block_len;
block_len = 5552;
}
r->m_check_adler32 = (s2 << 16) + s1;
if ((status == TINFL_STATUS_DONE) &&
(decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) &&
(r->m_check_adler32 != r->m_z_adler32))
status = TINFL_STATUS_ADLER32_MISMATCH;
}
return status;
}
// Higher level helper functions.
void *tinfl_decompress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags) {
tinfl_decompressor decomp;
void *pBuf = NULL, *pNew_buf;
size_t src_buf_ofs = 0, out_buf_capacity = 0;
*pOut_len = 0;
tinfl_init(&decomp);
for (;;) {
size_t src_buf_size = src_buf_len - src_buf_ofs,
dst_buf_size = out_buf_capacity - *pOut_len, new_out_buf_capacity;
tinfl_status status = tinfl_decompress(
&decomp, (const mz_uint8 *)pSrc_buf + src_buf_ofs, &src_buf_size,
(mz_uint8 *)pBuf, pBuf ? (mz_uint8 *)pBuf + *pOut_len : NULL,
&dst_buf_size,
(flags & ~TINFL_FLAG_HAS_MORE_INPUT) |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF);
if ((status < 0) || (status == TINFL_STATUS_NEEDS_MORE_INPUT)) {
MZ_FREE(pBuf);
*pOut_len = 0;
return NULL;
}
src_buf_ofs += src_buf_size;
*pOut_len += dst_buf_size;
if (status == TINFL_STATUS_DONE) break;
new_out_buf_capacity = out_buf_capacity * 2;
if (new_out_buf_capacity < 128) new_out_buf_capacity = 128;
pNew_buf = MZ_REALLOC(pBuf, new_out_buf_capacity);
if (!pNew_buf) {
MZ_FREE(pBuf);
*pOut_len = 0;
return NULL;
}
pBuf = pNew_buf;
out_buf_capacity = new_out_buf_capacity;
}
return pBuf;
}
size_t tinfl_decompress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags) {
tinfl_decompressor decomp;
tinfl_status status;
tinfl_init(&decomp);
status =
tinfl_decompress(&decomp, (const mz_uint8 *)pSrc_buf, &src_buf_len,
(mz_uint8 *)pOut_buf, (mz_uint8 *)pOut_buf, &out_buf_len,
(flags & ~TINFL_FLAG_HAS_MORE_INPUT) |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF);
return (status != TINFL_STATUS_DONE) ? TINFL_DECOMPRESS_MEM_TO_MEM_FAILED
: out_buf_len;
}
int tinfl_decompress_mem_to_callback(const void *pIn_buf, size_t *pIn_buf_size,
tinfl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
int result = 0;
tinfl_decompressor decomp;
mz_uint8 *pDict = (mz_uint8 *)MZ_MALLOC(TINFL_LZ_DICT_SIZE);
size_t in_buf_ofs = 0, dict_ofs = 0;
if (!pDict) return TINFL_STATUS_FAILED;
tinfl_init(&decomp);
for (;;) {
size_t in_buf_size = *pIn_buf_size - in_buf_ofs,
dst_buf_size = TINFL_LZ_DICT_SIZE - dict_ofs;
tinfl_status status =
tinfl_decompress(&decomp, (const mz_uint8 *)pIn_buf + in_buf_ofs,
&in_buf_size, pDict, pDict + dict_ofs, &dst_buf_size,
(flags & ~(TINFL_FLAG_HAS_MORE_INPUT |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)));
in_buf_ofs += in_buf_size;
if ((dst_buf_size) &&
(!(*pPut_buf_func)(pDict + dict_ofs, (int)dst_buf_size, pPut_buf_user)))
break;
if (status != TINFL_STATUS_HAS_MORE_OUTPUT) {
result = (status == TINFL_STATUS_DONE);
break;
}
dict_ofs = (dict_ofs + dst_buf_size) & (TINFL_LZ_DICT_SIZE - 1);
}
MZ_FREE(pDict);
*pIn_buf_size = in_buf_ofs;
return result;
}
// ------------------- Low-level Compression (independent from all decompression
// API's)
// Purposely making these tables static for faster init and thread safety.
static const mz_uint16 s_tdefl_len_sym[256] = {
257, 258, 259, 260, 261, 262, 263, 264, 265, 265, 266, 266, 267, 267, 268,
268, 269, 269, 269, 269, 270, 270, 270, 270, 271, 271, 271, 271, 272, 272,
272, 272, 273, 273, 273, 273, 273, 273, 273, 273, 274, 274, 274, 274, 274,
274, 274, 274, 275, 275, 275, 275, 275, 275, 275, 275, 276, 276, 276, 276,
276, 276, 276, 276, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277,
277, 277, 277, 277, 277, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278,
278, 278, 278, 278, 278, 278, 279, 279, 279, 279, 279, 279, 279, 279, 279,
279, 279, 279, 279, 279, 279, 279, 280, 280, 280, 280, 280, 280, 280, 280,
280, 280, 280, 280, 280, 280, 280, 280, 281, 281, 281, 281, 281, 281, 281,
281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281,
281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 282, 282, 282, 282, 282,
282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282,
282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 283, 283, 283,
283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283,
283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 284,
284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284,
284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284,
285};
static const mz_uint8 s_tdefl_len_extra[256] = {
0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 0};
static const mz_uint8 s_tdefl_small_dist_sym[512] = {
0, 1, 2, 3, 4, 4, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8,
8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11,
11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17};
static const mz_uint8 s_tdefl_small_dist_extra[512] = {
0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7};
static const mz_uint8 s_tdefl_large_dist_sym[128] = {
0, 0, 18, 19, 20, 20, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23, 24, 24, 24,
24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26,
26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 27, 27, 27,
27, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29,
29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29};
static const mz_uint8 s_tdefl_large_dist_extra[128] = {
0, 0, 8, 8, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11,
11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13};
// Radix sorts tdefl_sym_freq[] array by 16-bit key m_key. Returns ptr to sorted
// values.
typedef struct {
mz_uint16 m_key, m_sym_index;
} tdefl_sym_freq;
static tdefl_sym_freq *tdefl_radix_sort_syms(mz_uint num_syms,
tdefl_sym_freq *pSyms0,
tdefl_sym_freq *pSyms1) {
mz_uint32 total_passes = 2, pass_shift, pass, i, hist[256 * 2];
tdefl_sym_freq *pCur_syms = pSyms0, *pNew_syms = pSyms1;
MZ_CLEAR_OBJ(hist);
for (i = 0; i < num_syms; i++) {
mz_uint freq = pSyms0[i].m_key;
hist[freq & 0xFF]++;
hist[256 + ((freq >> 8) & 0xFF)]++;
}
while ((total_passes > 1) && (num_syms == hist[(total_passes - 1) * 256]))
total_passes--;
for (pass_shift = 0, pass = 0; pass < total_passes; pass++, pass_shift += 8) {
const mz_uint32 *pHist = &hist[pass << 8];
mz_uint offsets[256], cur_ofs = 0;
for (i = 0; i < 256; i++) {
offsets[i] = cur_ofs;
cur_ofs += pHist[i];
}
for (i = 0; i < num_syms; i++)
pNew_syms[offsets[(pCur_syms[i].m_key >> pass_shift) & 0xFF]++] =
pCur_syms[i];
{
tdefl_sym_freq *t = pCur_syms;
pCur_syms = pNew_syms;
pNew_syms = t;
}
}
return pCur_syms;
}
// tdefl_calculate_minimum_redundancy() originally written by: Alistair Moffat,
// alistair@cs.mu.oz.au, Jyrki Katajainen, jyrki@diku.dk, November 1996.
static void tdefl_calculate_minimum_redundancy(tdefl_sym_freq *A, int n) {
int root, leaf, next, avbl, used, dpth;
if (n == 0)
return;
else if (n == 1) {
A[0].m_key = 1;
return;
}
A[0].m_key += A[1].m_key;
root = 0;
leaf = 2;
for (next = 1; next < n - 1; next++) {
if (leaf >= n || A[root].m_key < A[leaf].m_key) {
A[next].m_key = A[root].m_key;
A[root++].m_key = (mz_uint16)next;
} else
A[next].m_key = A[leaf++].m_key;
if (leaf >= n || (root < next && A[root].m_key < A[leaf].m_key)) {
A[next].m_key = (mz_uint16)(A[next].m_key + A[root].m_key);
A[root++].m_key = (mz_uint16)next;
} else
A[next].m_key = (mz_uint16)(A[next].m_key + A[leaf++].m_key);
}
A[n - 2].m_key = 0;
for (next = n - 3; next >= 0; next--)
A[next].m_key = A[A[next].m_key].m_key + 1;
avbl = 1;
used = dpth = 0;
root = n - 2;
next = n - 1;
while (avbl > 0) {
while (root >= 0 && (int)A[root].m_key == dpth) {
used++;
root--;
}
while (avbl > used) {
A[next--].m_key = (mz_uint16)(dpth);
avbl--;
}
avbl = 2 * used;
dpth++;
used = 0;
}
}
// Limits canonical Huffman code table's max code size.
enum { TDEFL_MAX_SUPPORTED_HUFF_CODESIZE = 32 };
static void tdefl_huffman_enforce_max_code_size(int *pNum_codes,
int code_list_len,
int max_code_size) {
int i;
mz_uint32 total = 0;
if (code_list_len <= 1) return;
for (i = max_code_size + 1; i <= TDEFL_MAX_SUPPORTED_HUFF_CODESIZE; i++)
pNum_codes[max_code_size] += pNum_codes[i];
for (i = max_code_size; i > 0; i--)
total += (((mz_uint32)pNum_codes[i]) << (max_code_size - i));
while (total != (1UL << max_code_size)) {
pNum_codes[max_code_size]--;
for (i = max_code_size - 1; i > 0; i--)
if (pNum_codes[i]) {
pNum_codes[i]--;
pNum_codes[i + 1] += 2;
break;
}
total--;
}
}
static void tdefl_optimize_huffman_table(tdefl_compressor *d, int table_num,
int table_len, int code_size_limit,
int static_table) {
int i, j, l, num_codes[1 + TDEFL_MAX_SUPPORTED_HUFF_CODESIZE];
mz_uint next_code[TDEFL_MAX_SUPPORTED_HUFF_CODESIZE + 1];
MZ_CLEAR_OBJ(num_codes);
if (static_table) {
for (i = 0; i < table_len; i++)
num_codes[d->m_huff_code_sizes[table_num][i]]++;
} else {
tdefl_sym_freq syms0[TDEFL_MAX_HUFF_SYMBOLS], syms1[TDEFL_MAX_HUFF_SYMBOLS],
*pSyms;
int num_used_syms = 0;
const mz_uint16 *pSym_count = &d->m_huff_count[table_num][0];
for (i = 0; i < table_len; i++)
if (pSym_count[i]) {
syms0[num_used_syms].m_key = (mz_uint16)pSym_count[i];
syms0[num_used_syms++].m_sym_index = (mz_uint16)i;
}
pSyms = tdefl_radix_sort_syms(num_used_syms, syms0, syms1);
tdefl_calculate_minimum_redundancy(pSyms, num_used_syms);
for (i = 0; i < num_used_syms; i++) num_codes[pSyms[i].m_key]++;
tdefl_huffman_enforce_max_code_size(num_codes, num_used_syms,
code_size_limit);
MZ_CLEAR_OBJ(d->m_huff_code_sizes[table_num]);
MZ_CLEAR_OBJ(d->m_huff_codes[table_num]);
for (i = 1, j = num_used_syms; i <= code_size_limit; i++)
for (l = num_codes[i]; l > 0; l--)
d->m_huff_code_sizes[table_num][pSyms[--j].m_sym_index] = (mz_uint8)(i);
}
next_code[1] = 0;
for (j = 0, i = 2; i <= code_size_limit; i++)
next_code[i] = j = ((j + num_codes[i - 1]) << 1);
for (i = 0; i < table_len; i++) {
mz_uint rev_code = 0, code, code_size;
if ((code_size = d->m_huff_code_sizes[table_num][i]) == 0) continue;
code = next_code[code_size]++;
for (l = code_size; l > 0; l--, code >>= 1)
rev_code = (rev_code << 1) | (code & 1);
d->m_huff_codes[table_num][i] = (mz_uint16)rev_code;
}
}
#define TDEFL_PUT_BITS(b, l) \
do { \
mz_uint bits = b; \
mz_uint len = l; \
MZ_ASSERT(bits <= ((1U << len) - 1U)); \
d->m_bit_buffer |= (bits << d->m_bits_in); \
d->m_bits_in += len; \
while (d->m_bits_in >= 8) { \
if (d->m_pOutput_buf < d->m_pOutput_buf_end) \
*d->m_pOutput_buf++ = (mz_uint8)(d->m_bit_buffer); \
d->m_bit_buffer >>= 8; \
d->m_bits_in -= 8; \
} \
} \
MZ_MACRO_END
#define TDEFL_RLE_PREV_CODE_SIZE() \
{ \
if (rle_repeat_count) { \
if (rle_repeat_count < 3) { \
d->m_huff_count[2][prev_code_size] = (mz_uint16)( \
d->m_huff_count[2][prev_code_size] + rle_repeat_count); \
while (rle_repeat_count--) \
packed_code_sizes[num_packed_code_sizes++] = prev_code_size; \
} else { \
d->m_huff_count[2][16] = (mz_uint16)(d->m_huff_count[2][16] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 16; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_repeat_count - 3); \
} \
rle_repeat_count = 0; \
} \
}
#define TDEFL_RLE_ZERO_CODE_SIZE() \
{ \
if (rle_z_count) { \
if (rle_z_count < 3) { \
d->m_huff_count[2][0] = \
(mz_uint16)(d->m_huff_count[2][0] + rle_z_count); \
while (rle_z_count--) packed_code_sizes[num_packed_code_sizes++] = 0; \
} else if (rle_z_count <= 10) { \
d->m_huff_count[2][17] = (mz_uint16)(d->m_huff_count[2][17] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 17; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_z_count - 3); \
} else { \
d->m_huff_count[2][18] = (mz_uint16)(d->m_huff_count[2][18] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 18; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_z_count - 11); \
} \
rle_z_count = 0; \
} \
}
static mz_uint8 s_tdefl_packed_code_size_syms_swizzle[] = {
16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15};
static void tdefl_start_dynamic_block(tdefl_compressor *d) {
int num_lit_codes, num_dist_codes, num_bit_lengths;
mz_uint i, total_code_sizes_to_pack, num_packed_code_sizes, rle_z_count,
rle_repeat_count, packed_code_sizes_index;
mz_uint8
code_sizes_to_pack[TDEFL_MAX_HUFF_SYMBOLS_0 + TDEFL_MAX_HUFF_SYMBOLS_1],
packed_code_sizes[TDEFL_MAX_HUFF_SYMBOLS_0 + TDEFL_MAX_HUFF_SYMBOLS_1],
prev_code_size = 0xFF;
d->m_huff_count[0][256] = 1;
tdefl_optimize_huffman_table(d, 0, TDEFL_MAX_HUFF_SYMBOLS_0, 15, MZ_FALSE);
tdefl_optimize_huffman_table(d, 1, TDEFL_MAX_HUFF_SYMBOLS_1, 15, MZ_FALSE);
for (num_lit_codes = 286; num_lit_codes > 257; num_lit_codes--)
if (d->m_huff_code_sizes[0][num_lit_codes - 1]) break;
for (num_dist_codes = 30; num_dist_codes > 1; num_dist_codes--)
if (d->m_huff_code_sizes[1][num_dist_codes - 1]) break;
memcpy(code_sizes_to_pack, &d->m_huff_code_sizes[0][0], num_lit_codes);
memcpy(code_sizes_to_pack + num_lit_codes, &d->m_huff_code_sizes[1][0],
num_dist_codes);
total_code_sizes_to_pack = num_lit_codes + num_dist_codes;
num_packed_code_sizes = 0;
rle_z_count = 0;
rle_repeat_count = 0;
memset(&d->m_huff_count[2][0], 0,
sizeof(d->m_huff_count[2][0]) * TDEFL_MAX_HUFF_SYMBOLS_2);
for (i = 0; i < total_code_sizes_to_pack; i++) {
mz_uint8 code_size = code_sizes_to_pack[i];
if (!code_size) {
TDEFL_RLE_PREV_CODE_SIZE();
if (++rle_z_count == 138) {
TDEFL_RLE_ZERO_CODE_SIZE();
}
} else {
TDEFL_RLE_ZERO_CODE_SIZE();
if (code_size != prev_code_size) {
TDEFL_RLE_PREV_CODE_SIZE();
d->m_huff_count[2][code_size] =
(mz_uint16)(d->m_huff_count[2][code_size] + 1);
packed_code_sizes[num_packed_code_sizes++] = code_size;
} else if (++rle_repeat_count == 6) {
TDEFL_RLE_PREV_CODE_SIZE();
}
}
prev_code_size = code_size;
}
if (rle_repeat_count) {
TDEFL_RLE_PREV_CODE_SIZE();
} else {
TDEFL_RLE_ZERO_CODE_SIZE();
}
tdefl_optimize_huffman_table(d, 2, TDEFL_MAX_HUFF_SYMBOLS_2, 7, MZ_FALSE);
TDEFL_PUT_BITS(2, 2);
TDEFL_PUT_BITS(num_lit_codes - 257, 5);
TDEFL_PUT_BITS(num_dist_codes - 1, 5);
for (num_bit_lengths = 18; num_bit_lengths >= 0; num_bit_lengths--)
if (d->m_huff_code_sizes
[2][s_tdefl_packed_code_size_syms_swizzle[num_bit_lengths]])
break;
num_bit_lengths = MZ_MAX(4, (num_bit_lengths + 1));
TDEFL_PUT_BITS(num_bit_lengths - 4, 4);
for (i = 0; (int)i < num_bit_lengths; i++)
TDEFL_PUT_BITS(
d->m_huff_code_sizes[2][s_tdefl_packed_code_size_syms_swizzle[i]], 3);
for (packed_code_sizes_index = 0;
packed_code_sizes_index < num_packed_code_sizes;) {
mz_uint code = packed_code_sizes[packed_code_sizes_index++];
MZ_ASSERT(code < TDEFL_MAX_HUFF_SYMBOLS_2);
TDEFL_PUT_BITS(d->m_huff_codes[2][code], d->m_huff_code_sizes[2][code]);
if (code >= 16)
TDEFL_PUT_BITS(packed_code_sizes[packed_code_sizes_index++],
"\02\03\07"[code - 16]);
}
}
static void tdefl_start_static_block(tdefl_compressor *d) {
mz_uint i;
mz_uint8 *p = &d->m_huff_code_sizes[0][0];
for (i = 0; i <= 143; ++i) *p++ = 8;
for (; i <= 255; ++i) *p++ = 9;
for (; i <= 279; ++i) *p++ = 7;
for (; i <= 287; ++i) *p++ = 8;
memset(d->m_huff_code_sizes[1], 5, 32);
tdefl_optimize_huffman_table(d, 0, 288, 15, MZ_TRUE);
tdefl_optimize_huffman_table(d, 1, 32, 15, MZ_TRUE);
TDEFL_PUT_BITS(1, 2);
}
static const mz_uint mz_bitmasks[17] = {
0x0000, 0x0001, 0x0003, 0x0007, 0x000F, 0x001F, 0x003F, 0x007F, 0x00FF,
0x01FF, 0x03FF, 0x07FF, 0x0FFF, 0x1FFF, 0x3FFF, 0x7FFF, 0xFFFF};
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN && \
MINIZ_HAS_64BIT_REGISTERS
static mz_bool tdefl_compress_lz_codes(tdefl_compressor *d) {
mz_uint flags;
mz_uint8 *pLZ_codes;
mz_uint8 *pOutput_buf = d->m_pOutput_buf;
mz_uint8 *pLZ_code_buf_end = d->m_pLZ_code_buf;
mz_uint64 bit_buffer = d->m_bit_buffer;
mz_uint bits_in = d->m_bits_in;
#define TDEFL_PUT_BITS_FAST(b, l) \
{ \
bit_buffer |= (((mz_uint64)(b)) << bits_in); \
bits_in += (l); \
}
flags = 1;
for (pLZ_codes = d->m_lz_code_buf; pLZ_codes < pLZ_code_buf_end;
flags >>= 1) {
if (flags == 1) flags = *pLZ_codes++ | 0x100;
if (flags & 1) {
mz_uint s0, s1, n0, n1, sym, num_extra_bits;
mz_uint match_len = pLZ_codes[0],
match_dist = *(const mz_uint16 *)(pLZ_codes + 1);
pLZ_codes += 3;
MZ_ASSERT(d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][s_tdefl_len_sym[match_len]],
d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS_FAST(match_len & mz_bitmasks[s_tdefl_len_extra[match_len]],
s_tdefl_len_extra[match_len]);
// This sequence coaxes MSVC into using cmov's vs. jmp's.
s0 = s_tdefl_small_dist_sym[match_dist & 511];
n0 = s_tdefl_small_dist_extra[match_dist & 511];
s1 = s_tdefl_large_dist_sym[match_dist >> 8];
n1 = s_tdefl_large_dist_extra[match_dist >> 8];
sym = (match_dist < 512) ? s0 : s1;
num_extra_bits = (match_dist < 512) ? n0 : n1;
MZ_ASSERT(d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[1][sym],
d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS_FAST(match_dist & mz_bitmasks[num_extra_bits],
num_extra_bits);
} else {
mz_uint lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
if (((flags & 2) == 0) && (pLZ_codes < pLZ_code_buf_end)) {
flags >>= 1;
lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
if (((flags & 2) == 0) && (pLZ_codes < pLZ_code_buf_end)) {
flags >>= 1;
lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
}
}
}
if (pOutput_buf >= d->m_pOutput_buf_end) return MZ_FALSE;
*(mz_uint64 *)pOutput_buf = bit_buffer;
pOutput_buf += (bits_in >> 3);
bit_buffer >>= (bits_in & ~7);
bits_in &= 7;
}
#undef TDEFL_PUT_BITS_FAST
d->m_pOutput_buf = pOutput_buf;
d->m_bits_in = 0;
d->m_bit_buffer = 0;
while (bits_in) {
mz_uint32 n = MZ_MIN(bits_in, 16);
TDEFL_PUT_BITS((mz_uint)bit_buffer & mz_bitmasks[n], n);
bit_buffer >>= n;
bits_in -= n;
}
TDEFL_PUT_BITS(d->m_huff_codes[0][256], d->m_huff_code_sizes[0][256]);
return (d->m_pOutput_buf < d->m_pOutput_buf_end);
}
#else
static mz_bool tdefl_compress_lz_codes(tdefl_compressor *d) {
mz_uint flags;
mz_uint8 *pLZ_codes;
flags = 1;
for (pLZ_codes = d->m_lz_code_buf; pLZ_codes < d->m_pLZ_code_buf;
flags >>= 1) {
if (flags == 1) flags = *pLZ_codes++ | 0x100;
if (flags & 1) {
mz_uint sym, num_extra_bits;
mz_uint match_len = pLZ_codes[0],
match_dist = (pLZ_codes[1] | (pLZ_codes[2] << 8));
pLZ_codes += 3;
MZ_ASSERT(d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS(d->m_huff_codes[0][s_tdefl_len_sym[match_len]],
d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS(match_len & mz_bitmasks[s_tdefl_len_extra[match_len]],
s_tdefl_len_extra[match_len]);
if (match_dist < 512) {
sym = s_tdefl_small_dist_sym[match_dist];
num_extra_bits = s_tdefl_small_dist_extra[match_dist];
} else {
sym = s_tdefl_large_dist_sym[match_dist >> 8];
num_extra_bits = s_tdefl_large_dist_extra[match_dist >> 8];
}
MZ_ASSERT(d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS(d->m_huff_codes[1][sym], d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS(match_dist & mz_bitmasks[num_extra_bits], num_extra_bits);
} else {
mz_uint lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS(d->m_huff_codes[0][lit], d->m_huff_code_sizes[0][lit]);
}
}
TDEFL_PUT_BITS(d->m_huff_codes[0][256], d->m_huff_code_sizes[0][256]);
return (d->m_pOutput_buf < d->m_pOutput_buf_end);
}
#endif // MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN &&
// MINIZ_HAS_64BIT_REGISTERS
static mz_bool tdefl_compress_block(tdefl_compressor *d, mz_bool static_block) {
if (static_block)
tdefl_start_static_block(d);
else
tdefl_start_dynamic_block(d);
return tdefl_compress_lz_codes(d);
}
static int tdefl_flush_block(tdefl_compressor *d, int flush) {
mz_uint saved_bit_buf, saved_bits_in;
mz_uint8 *pSaved_output_buf;
mz_bool comp_block_succeeded = MZ_FALSE;
int n, use_raw_block =
((d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS) != 0) &&
(d->m_lookahead_pos - d->m_lz_code_buf_dict_pos) <= d->m_dict_size;
mz_uint8 *pOutput_buf_start =
((d->m_pPut_buf_func == NULL) &&
((*d->m_pOut_buf_size - d->m_out_buf_ofs) >= TDEFL_OUT_BUF_SIZE))
? ((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs)
: d->m_output_buf;
d->m_pOutput_buf = pOutput_buf_start;
d->m_pOutput_buf_end = d->m_pOutput_buf + TDEFL_OUT_BUF_SIZE - 16;
MZ_ASSERT(!d->m_output_flush_remaining);
d->m_output_flush_ofs = 0;
d->m_output_flush_remaining = 0;
*d->m_pLZ_flags = (mz_uint8)(*d->m_pLZ_flags >> d->m_num_flags_left);
d->m_pLZ_code_buf -= (d->m_num_flags_left == 8);
if ((d->m_flags & TDEFL_WRITE_ZLIB_HEADER) && (!d->m_block_index)) {
TDEFL_PUT_BITS(0x78, 8);
TDEFL_PUT_BITS(0x01, 8);
}
TDEFL_PUT_BITS(flush == TDEFL_FINISH, 1);
pSaved_output_buf = d->m_pOutput_buf;
saved_bit_buf = d->m_bit_buffer;
saved_bits_in = d->m_bits_in;
if (!use_raw_block)
comp_block_succeeded =
tdefl_compress_block(d, (d->m_flags & TDEFL_FORCE_ALL_STATIC_BLOCKS) ||
(d->m_total_lz_bytes < 48));
// If the block gets expanded, forget the current contents of the output
// buffer and send a raw block instead.
if (((use_raw_block) ||
((d->m_total_lz_bytes) && ((d->m_pOutput_buf - pSaved_output_buf + 1U) >=
d->m_total_lz_bytes))) &&
((d->m_lookahead_pos - d->m_lz_code_buf_dict_pos) <= d->m_dict_size)) {
mz_uint i;
d->m_pOutput_buf = pSaved_output_buf;
d->m_bit_buffer = saved_bit_buf, d->m_bits_in = saved_bits_in;
TDEFL_PUT_BITS(0, 2);
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
for (i = 2; i; --i, d->m_total_lz_bytes ^= 0xFFFF) {
TDEFL_PUT_BITS(d->m_total_lz_bytes & 0xFFFF, 16);
}
for (i = 0; i < d->m_total_lz_bytes; ++i) {
TDEFL_PUT_BITS(
d->m_dict[(d->m_lz_code_buf_dict_pos + i) & TDEFL_LZ_DICT_SIZE_MASK],
8);
}
}
// Check for the extremely unlikely (if not impossible) case of the compressed
// block not fitting into the output buffer when using dynamic codes.
else if (!comp_block_succeeded) {
d->m_pOutput_buf = pSaved_output_buf;
d->m_bit_buffer = saved_bit_buf, d->m_bits_in = saved_bits_in;
tdefl_compress_block(d, MZ_TRUE);
}
if (flush) {
if (flush == TDEFL_FINISH) {
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
if (d->m_flags & TDEFL_WRITE_ZLIB_HEADER) {
mz_uint i, a = d->m_adler32;
for (i = 0; i < 4; i++) {
TDEFL_PUT_BITS((a >> 24) & 0xFF, 8);
a <<= 8;
}
}
} else {
mz_uint i, z = 0;
TDEFL_PUT_BITS(0, 3);
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
for (i = 2; i; --i, z ^= 0xFFFF) {
TDEFL_PUT_BITS(z & 0xFFFF, 16);
}
}
}
MZ_ASSERT(d->m_pOutput_buf < d->m_pOutput_buf_end);
memset(&d->m_huff_count[0][0], 0,
sizeof(d->m_huff_count[0][0]) * TDEFL_MAX_HUFF_SYMBOLS_0);
memset(&d->m_huff_count[1][0], 0,
sizeof(d->m_huff_count[1][0]) * TDEFL_MAX_HUFF_SYMBOLS_1);
d->m_pLZ_code_buf = d->m_lz_code_buf + 1;
d->m_pLZ_flags = d->m_lz_code_buf;
d->m_num_flags_left = 8;
d->m_lz_code_buf_dict_pos += d->m_total_lz_bytes;
d->m_total_lz_bytes = 0;
d->m_block_index++;
if ((n = (int)(d->m_pOutput_buf - pOutput_buf_start)) != 0) {
if (d->m_pPut_buf_func) {
*d->m_pIn_buf_size = d->m_pSrc - (const mz_uint8 *)d->m_pIn_buf;
if (!(*d->m_pPut_buf_func)(d->m_output_buf, n, d->m_pPut_buf_user))
return (d->m_prev_return_status = TDEFL_STATUS_PUT_BUF_FAILED);
} else if (pOutput_buf_start == d->m_output_buf) {
int bytes_to_copy = (int)MZ_MIN(
(size_t)n, (size_t)(*d->m_pOut_buf_size - d->m_out_buf_ofs));
memcpy((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs, d->m_output_buf,
bytes_to_copy);
d->m_out_buf_ofs += bytes_to_copy;
if ((n -= bytes_to_copy) != 0) {
d->m_output_flush_ofs = bytes_to_copy;
d->m_output_flush_remaining = n;
}
} else {
d->m_out_buf_ofs += n;
}
}
return d->m_output_flush_remaining;
}
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
#define TDEFL_READ_UNALIGNED_WORD(p) *(const mz_uint16 *)(p)
static MZ_FORCEINLINE void tdefl_find_match(
tdefl_compressor *d, mz_uint lookahead_pos, mz_uint max_dist,
mz_uint max_match_len, mz_uint *pMatch_dist, mz_uint *pMatch_len) {
mz_uint dist, pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK,
match_len = *pMatch_len, probe_pos = pos, next_probe_pos,
probe_len;
mz_uint num_probes_left = d->m_max_probes[match_len >= 32];
const mz_uint16 *s = (const mz_uint16 *)(d->m_dict + pos), *p, *q;
mz_uint16 c01 = TDEFL_READ_UNALIGNED_WORD(&d->m_dict[pos + match_len - 1]),
s01 = TDEFL_READ_UNALIGNED_WORD(s);
MZ_ASSERT(max_match_len <= TDEFL_MAX_MATCH_LEN);
if (max_match_len <= match_len) return;
for (;;) {
for (;;) {
if (--num_probes_left == 0) return;
#define TDEFL_PROBE \
next_probe_pos = d->m_next[probe_pos]; \
if ((!next_probe_pos) || \
((dist = (mz_uint16)(lookahead_pos - next_probe_pos)) > max_dist)) \
return; \
probe_pos = next_probe_pos & TDEFL_LZ_DICT_SIZE_MASK; \
if (TDEFL_READ_UNALIGNED_WORD(&d->m_dict[probe_pos + match_len - 1]) == c01) \
break;
TDEFL_PROBE;
TDEFL_PROBE;
TDEFL_PROBE;
}
if (!dist) break;
q = (const mz_uint16 *)(d->m_dict + probe_pos);
if (TDEFL_READ_UNALIGNED_WORD(q) != s01) continue;
p = s;
probe_len = 32;
do {
} while (
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(--probe_len > 0));
if (!probe_len) {
*pMatch_dist = dist;
*pMatch_len = MZ_MIN(max_match_len, TDEFL_MAX_MATCH_LEN);
break;
} else if ((probe_len = ((mz_uint)(p - s) * 2) +
(mz_uint)(*(const mz_uint8 *)p ==
*(const mz_uint8 *)q)) > match_len) {
*pMatch_dist = dist;
if ((*pMatch_len = match_len = MZ_MIN(max_match_len, probe_len)) ==
max_match_len)
break;
c01 = TDEFL_READ_UNALIGNED_WORD(&d->m_dict[pos + match_len - 1]);
}
}
}
#else
static MZ_FORCEINLINE void tdefl_find_match(
tdefl_compressor *d, mz_uint lookahead_pos, mz_uint max_dist,
mz_uint max_match_len, mz_uint *pMatch_dist, mz_uint *pMatch_len) {
mz_uint dist, pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK,
match_len = *pMatch_len, probe_pos = pos, next_probe_pos,
probe_len;
mz_uint num_probes_left = d->m_max_probes[match_len >= 32];
const mz_uint8 *s = d->m_dict + pos, *p, *q;
mz_uint8 c0 = d->m_dict[pos + match_len], c1 = d->m_dict[pos + match_len - 1];
MZ_ASSERT(max_match_len <= TDEFL_MAX_MATCH_LEN);
if (max_match_len <= match_len) return;
for (;;) {
for (;;) {
if (--num_probes_left == 0) return;
#define TDEFL_PROBE \
next_probe_pos = d->m_next[probe_pos]; \
if ((!next_probe_pos) || \
((dist = (mz_uint16)(lookahead_pos - next_probe_pos)) > max_dist)) \
return; \
probe_pos = next_probe_pos & TDEFL_LZ_DICT_SIZE_MASK; \
if ((d->m_dict[probe_pos + match_len] == c0) && \
(d->m_dict[probe_pos + match_len - 1] == c1)) \
break;
TDEFL_PROBE;
TDEFL_PROBE;
TDEFL_PROBE;
}
if (!dist) break;
p = s;
q = d->m_dict + probe_pos;
for (probe_len = 0; probe_len < max_match_len; probe_len++)
if (*p++ != *q++) break;
if (probe_len > match_len) {
*pMatch_dist = dist;
if ((*pMatch_len = match_len = probe_len) == max_match_len) return;
c0 = d->m_dict[pos + match_len];
c1 = d->m_dict[pos + match_len - 1];
}
}
}
#endif // #if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
static mz_bool tdefl_compress_fast(tdefl_compressor *d) {
// Faster, minimally featured LZRW1-style match+parse loop with better
// register utilization. Intended for applications where raw throughput is
// valued more highly than ratio.
mz_uint lookahead_pos = d->m_lookahead_pos,
lookahead_size = d->m_lookahead_size, dict_size = d->m_dict_size,
total_lz_bytes = d->m_total_lz_bytes,
num_flags_left = d->m_num_flags_left;
mz_uint8 *pLZ_code_buf = d->m_pLZ_code_buf, *pLZ_flags = d->m_pLZ_flags;
mz_uint cur_pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK;
while ((d->m_src_buf_left) || ((d->m_flush) && (lookahead_size))) {
const mz_uint TDEFL_COMP_FAST_LOOKAHEAD_SIZE = 4096;
mz_uint dst_pos =
(lookahead_pos + lookahead_size) & TDEFL_LZ_DICT_SIZE_MASK;
mz_uint num_bytes_to_process = (mz_uint)MZ_MIN(
d->m_src_buf_left, TDEFL_COMP_FAST_LOOKAHEAD_SIZE - lookahead_size);
d->m_src_buf_left -= num_bytes_to_process;
lookahead_size += num_bytes_to_process;
while (num_bytes_to_process) {
mz_uint32 n = MZ_MIN(TDEFL_LZ_DICT_SIZE - dst_pos, num_bytes_to_process);
memcpy(d->m_dict + dst_pos, d->m_pSrc, n);
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
memcpy(d->m_dict + TDEFL_LZ_DICT_SIZE + dst_pos, d->m_pSrc,
MZ_MIN(n, (TDEFL_MAX_MATCH_LEN - 1) - dst_pos));
d->m_pSrc += n;
dst_pos = (dst_pos + n) & TDEFL_LZ_DICT_SIZE_MASK;
num_bytes_to_process -= n;
}
dict_size = MZ_MIN(TDEFL_LZ_DICT_SIZE - lookahead_size, dict_size);
if ((!d->m_flush) && (lookahead_size < TDEFL_COMP_FAST_LOOKAHEAD_SIZE))
break;
while (lookahead_size >= 4) {
mz_uint cur_match_dist, cur_match_len = 1;
mz_uint8 *pCur_dict = d->m_dict + cur_pos;
mz_uint first_trigram = (*(const mz_uint32 *)pCur_dict) & 0xFFFFFF;
mz_uint hash =
(first_trigram ^ (first_trigram >> (24 - (TDEFL_LZ_HASH_BITS - 8)))) &
TDEFL_LEVEL1_HASH_SIZE_MASK;
mz_uint probe_pos = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)lookahead_pos;
if (((cur_match_dist = (mz_uint16)(lookahead_pos - probe_pos)) <=
dict_size) &&
((*(const mz_uint32 *)(d->m_dict +
(probe_pos &= TDEFL_LZ_DICT_SIZE_MASK)) &
0xFFFFFF) == first_trigram)) {
const mz_uint16 *p = (const mz_uint16 *)pCur_dict;
const mz_uint16 *q = (const mz_uint16 *)(d->m_dict + probe_pos);
mz_uint32 probe_len = 32;
do {
} while ((TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(--probe_len > 0));
cur_match_len = ((mz_uint)(p - (const mz_uint16 *)pCur_dict) * 2) +
(mz_uint)(*(const mz_uint8 *)p == *(const mz_uint8 *)q);
if (!probe_len)
cur_match_len = cur_match_dist ? TDEFL_MAX_MATCH_LEN : 0;
if ((cur_match_len < TDEFL_MIN_MATCH_LEN) ||
((cur_match_len == TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 8U * 1024U))) {
cur_match_len = 1;
*pLZ_code_buf++ = (mz_uint8)first_trigram;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
d->m_huff_count[0][(mz_uint8)first_trigram]++;
} else {
mz_uint32 s0, s1;
cur_match_len = MZ_MIN(cur_match_len, lookahead_size);
MZ_ASSERT((cur_match_len >= TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 1) &&
(cur_match_dist <= TDEFL_LZ_DICT_SIZE));
cur_match_dist--;
pLZ_code_buf[0] = (mz_uint8)(cur_match_len - TDEFL_MIN_MATCH_LEN);
*(mz_uint16 *)(&pLZ_code_buf[1]) = (mz_uint16)cur_match_dist;
pLZ_code_buf += 3;
*pLZ_flags = (mz_uint8)((*pLZ_flags >> 1) | 0x80);
s0 = s_tdefl_small_dist_sym[cur_match_dist & 511];
s1 = s_tdefl_large_dist_sym[cur_match_dist >> 8];
d->m_huff_count[1][(cur_match_dist < 512) ? s0 : s1]++;
d->m_huff_count[0][s_tdefl_len_sym[cur_match_len -
TDEFL_MIN_MATCH_LEN]]++;
}
} else {
*pLZ_code_buf++ = (mz_uint8)first_trigram;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
d->m_huff_count[0][(mz_uint8)first_trigram]++;
}
if (--num_flags_left == 0) {
num_flags_left = 8;
pLZ_flags = pLZ_code_buf++;
}
total_lz_bytes += cur_match_len;
lookahead_pos += cur_match_len;
dict_size = MZ_MIN(dict_size + cur_match_len, TDEFL_LZ_DICT_SIZE);
cur_pos = (cur_pos + cur_match_len) & TDEFL_LZ_DICT_SIZE_MASK;
MZ_ASSERT(lookahead_size >= cur_match_len);
lookahead_size -= cur_match_len;
if (pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) {
int n;
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
total_lz_bytes = d->m_total_lz_bytes;
pLZ_code_buf = d->m_pLZ_code_buf;
pLZ_flags = d->m_pLZ_flags;
num_flags_left = d->m_num_flags_left;
}
}
while (lookahead_size) {
mz_uint8 lit = d->m_dict[cur_pos];
total_lz_bytes++;
*pLZ_code_buf++ = lit;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
if (--num_flags_left == 0) {
num_flags_left = 8;
pLZ_flags = pLZ_code_buf++;
}
d->m_huff_count[0][lit]++;
lookahead_pos++;
dict_size = MZ_MIN(dict_size + 1, TDEFL_LZ_DICT_SIZE);
cur_pos = (cur_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK;
lookahead_size--;
if (pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) {
int n;
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
total_lz_bytes = d->m_total_lz_bytes;
pLZ_code_buf = d->m_pLZ_code_buf;
pLZ_flags = d->m_pLZ_flags;
num_flags_left = d->m_num_flags_left;
}
}
}
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
return MZ_TRUE;
}
#endif // MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
static MZ_FORCEINLINE void tdefl_record_literal(tdefl_compressor *d,
mz_uint8 lit) {
d->m_total_lz_bytes++;
*d->m_pLZ_code_buf++ = lit;
*d->m_pLZ_flags = (mz_uint8)(*d->m_pLZ_flags >> 1);
if (--d->m_num_flags_left == 0) {
d->m_num_flags_left = 8;
d->m_pLZ_flags = d->m_pLZ_code_buf++;
}
d->m_huff_count[0][lit]++;
}
static MZ_FORCEINLINE void tdefl_record_match(tdefl_compressor *d,
mz_uint match_len,
mz_uint match_dist) {
mz_uint32 s0, s1;
MZ_ASSERT((match_len >= TDEFL_MIN_MATCH_LEN) && (match_dist >= 1) &&
(match_dist <= TDEFL_LZ_DICT_SIZE));
d->m_total_lz_bytes += match_len;
d->m_pLZ_code_buf[0] = (mz_uint8)(match_len - TDEFL_MIN_MATCH_LEN);
match_dist -= 1;
d->m_pLZ_code_buf[1] = (mz_uint8)(match_dist & 0xFF);
d->m_pLZ_code_buf[2] = (mz_uint8)(match_dist >> 8);
d->m_pLZ_code_buf += 3;
*d->m_pLZ_flags = (mz_uint8)((*d->m_pLZ_flags >> 1) | 0x80);
if (--d->m_num_flags_left == 0) {
d->m_num_flags_left = 8;
d->m_pLZ_flags = d->m_pLZ_code_buf++;
}
s0 = s_tdefl_small_dist_sym[match_dist & 511];
s1 = s_tdefl_large_dist_sym[(match_dist >> 8) & 127];
d->m_huff_count[1][(match_dist < 512) ? s0 : s1]++;
if (match_len >= TDEFL_MIN_MATCH_LEN)
d->m_huff_count[0][s_tdefl_len_sym[match_len - TDEFL_MIN_MATCH_LEN]]++;
}
static mz_bool tdefl_compress_normal(tdefl_compressor *d) {
const mz_uint8 *pSrc = d->m_pSrc;
size_t src_buf_left = d->m_src_buf_left;
tdefl_flush flush = d->m_flush;
while ((src_buf_left) || ((flush) && (d->m_lookahead_size))) {
mz_uint len_to_move, cur_match_dist, cur_match_len, cur_pos;
// Update dictionary and hash chains. Keeps the lookahead size equal to
// TDEFL_MAX_MATCH_LEN.
if ((d->m_lookahead_size + d->m_dict_size) >= (TDEFL_MIN_MATCH_LEN - 1)) {
mz_uint dst_pos = (d->m_lookahead_pos + d->m_lookahead_size) &
TDEFL_LZ_DICT_SIZE_MASK,
ins_pos = d->m_lookahead_pos + d->m_lookahead_size - 2;
mz_uint hash = (d->m_dict[ins_pos & TDEFL_LZ_DICT_SIZE_MASK]
<< TDEFL_LZ_HASH_SHIFT) ^
d->m_dict[(ins_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK];
mz_uint num_bytes_to_process = (mz_uint)MZ_MIN(
src_buf_left, TDEFL_MAX_MATCH_LEN - d->m_lookahead_size);
const mz_uint8 *pSrc_end = pSrc + num_bytes_to_process;
src_buf_left -= num_bytes_to_process;
d->m_lookahead_size += num_bytes_to_process;
while (pSrc != pSrc_end) {
mz_uint8 c = *pSrc++;
d->m_dict[dst_pos] = c;
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
d->m_dict[TDEFL_LZ_DICT_SIZE + dst_pos] = c;
hash = ((hash << TDEFL_LZ_HASH_SHIFT) ^ c) & (TDEFL_LZ_HASH_SIZE - 1);
d->m_next[ins_pos & TDEFL_LZ_DICT_SIZE_MASK] = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)(ins_pos);
dst_pos = (dst_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK;
ins_pos++;
}
} else {
while ((src_buf_left) && (d->m_lookahead_size < TDEFL_MAX_MATCH_LEN)) {
mz_uint8 c = *pSrc++;
mz_uint dst_pos = (d->m_lookahead_pos + d->m_lookahead_size) &
TDEFL_LZ_DICT_SIZE_MASK;
src_buf_left--;
d->m_dict[dst_pos] = c;
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
d->m_dict[TDEFL_LZ_DICT_SIZE + dst_pos] = c;
if ((++d->m_lookahead_size + d->m_dict_size) >= TDEFL_MIN_MATCH_LEN) {
mz_uint ins_pos = d->m_lookahead_pos + (d->m_lookahead_size - 1) - 2;
mz_uint hash = ((d->m_dict[ins_pos & TDEFL_LZ_DICT_SIZE_MASK]
<< (TDEFL_LZ_HASH_SHIFT * 2)) ^
(d->m_dict[(ins_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK]
<< TDEFL_LZ_HASH_SHIFT) ^
c) &
(TDEFL_LZ_HASH_SIZE - 1);
d->m_next[ins_pos & TDEFL_LZ_DICT_SIZE_MASK] = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)(ins_pos);
}
}
}
d->m_dict_size =
MZ_MIN(TDEFL_LZ_DICT_SIZE - d->m_lookahead_size, d->m_dict_size);
if ((!flush) && (d->m_lookahead_size < TDEFL_MAX_MATCH_LEN)) break;
// Simple lazy/greedy parsing state machine.
len_to_move = 1;
cur_match_dist = 0;
cur_match_len =
d->m_saved_match_len ? d->m_saved_match_len : (TDEFL_MIN_MATCH_LEN - 1);
cur_pos = d->m_lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK;
if (d->m_flags & (TDEFL_RLE_MATCHES | TDEFL_FORCE_ALL_RAW_BLOCKS)) {
if ((d->m_dict_size) && (!(d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS))) {
mz_uint8 c = d->m_dict[(cur_pos - 1) & TDEFL_LZ_DICT_SIZE_MASK];
cur_match_len = 0;
while (cur_match_len < d->m_lookahead_size) {
if (d->m_dict[cur_pos + cur_match_len] != c) break;
cur_match_len++;
}
if (cur_match_len < TDEFL_MIN_MATCH_LEN)
cur_match_len = 0;
else
cur_match_dist = 1;
}
} else {
tdefl_find_match(d, d->m_lookahead_pos, d->m_dict_size,
d->m_lookahead_size, &cur_match_dist, &cur_match_len);
}
if (((cur_match_len == TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 8U * 1024U)) ||
(cur_pos == cur_match_dist) ||
((d->m_flags & TDEFL_FILTER_MATCHES) && (cur_match_len <= 5))) {
cur_match_dist = cur_match_len = 0;
}
if (d->m_saved_match_len) {
if (cur_match_len > d->m_saved_match_len) {
tdefl_record_literal(d, (mz_uint8)d->m_saved_lit);
if (cur_match_len >= 128) {
tdefl_record_match(d, cur_match_len, cur_match_dist);
d->m_saved_match_len = 0;
len_to_move = cur_match_len;
} else {
d->m_saved_lit = d->m_dict[cur_pos];
d->m_saved_match_dist = cur_match_dist;
d->m_saved_match_len = cur_match_len;
}
} else {
tdefl_record_match(d, d->m_saved_match_len, d->m_saved_match_dist);
len_to_move = d->m_saved_match_len - 1;
d->m_saved_match_len = 0;
}
} else if (!cur_match_dist)
tdefl_record_literal(d,
d->m_dict[MZ_MIN(cur_pos, sizeof(d->m_dict) - 1)]);
else if ((d->m_greedy_parsing) || (d->m_flags & TDEFL_RLE_MATCHES) ||
(cur_match_len >= 128)) {
tdefl_record_match(d, cur_match_len, cur_match_dist);
len_to_move = cur_match_len;
} else {
d->m_saved_lit = d->m_dict[MZ_MIN(cur_pos, sizeof(d->m_dict) - 1)];
d->m_saved_match_dist = cur_match_dist;
d->m_saved_match_len = cur_match_len;
}
// Move the lookahead forward by len_to_move bytes.
d->m_lookahead_pos += len_to_move;
MZ_ASSERT(d->m_lookahead_size >= len_to_move);
d->m_lookahead_size -= len_to_move;
d->m_dict_size =
MZ_MIN(d->m_dict_size + len_to_move, (mz_uint)TDEFL_LZ_DICT_SIZE);
// Check if it's time to flush the current LZ codes to the internal output
// buffer.
if ((d->m_pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) ||
((d->m_total_lz_bytes > 31 * 1024) &&
(((((mz_uint)(d->m_pLZ_code_buf - d->m_lz_code_buf) * 115) >> 7) >=
d->m_total_lz_bytes) ||
(d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS)))) {
int n;
d->m_pSrc = pSrc;
d->m_src_buf_left = src_buf_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
}
}
d->m_pSrc = pSrc;
d->m_src_buf_left = src_buf_left;
return MZ_TRUE;
}
static tdefl_status tdefl_flush_output_buffer(tdefl_compressor *d) {
if (d->m_pIn_buf_size) {
*d->m_pIn_buf_size = d->m_pSrc - (const mz_uint8 *)d->m_pIn_buf;
}
if (d->m_pOut_buf_size) {
size_t n = MZ_MIN(*d->m_pOut_buf_size - d->m_out_buf_ofs,
d->m_output_flush_remaining);
memcpy((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs,
d->m_output_buf + d->m_output_flush_ofs, n);
d->m_output_flush_ofs += (mz_uint)n;
d->m_output_flush_remaining -= (mz_uint)n;
d->m_out_buf_ofs += n;
*d->m_pOut_buf_size = d->m_out_buf_ofs;
}
return (d->m_finished && !d->m_output_flush_remaining) ? TDEFL_STATUS_DONE
: TDEFL_STATUS_OKAY;
}
tdefl_status tdefl_compress(tdefl_compressor *d, const void *pIn_buf,
size_t *pIn_buf_size, void *pOut_buf,
size_t *pOut_buf_size, tdefl_flush flush) {
if (!d) {
if (pIn_buf_size) *pIn_buf_size = 0;
if (pOut_buf_size) *pOut_buf_size = 0;
return TDEFL_STATUS_BAD_PARAM;
}
d->m_pIn_buf = pIn_buf;
d->m_pIn_buf_size = pIn_buf_size;
d->m_pOut_buf = pOut_buf;
d->m_pOut_buf_size = pOut_buf_size;
d->m_pSrc = (const mz_uint8 *)(pIn_buf);
d->m_src_buf_left = pIn_buf_size ? *pIn_buf_size : 0;
d->m_out_buf_ofs = 0;
d->m_flush = flush;
if (((d->m_pPut_buf_func != NULL) ==
((pOut_buf != NULL) || (pOut_buf_size != NULL))) ||
(d->m_prev_return_status != TDEFL_STATUS_OKAY) ||
(d->m_wants_to_finish && (flush != TDEFL_FINISH)) ||
(pIn_buf_size && *pIn_buf_size && !pIn_buf) ||
(pOut_buf_size && *pOut_buf_size && !pOut_buf)) {
if (pIn_buf_size) *pIn_buf_size = 0;
if (pOut_buf_size) *pOut_buf_size = 0;
return (d->m_prev_return_status = TDEFL_STATUS_BAD_PARAM);
}
d->m_wants_to_finish |= (flush == TDEFL_FINISH);
if ((d->m_output_flush_remaining) || (d->m_finished))
return (d->m_prev_return_status = tdefl_flush_output_buffer(d));
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
if (((d->m_flags & TDEFL_MAX_PROBES_MASK) == 1) &&
((d->m_flags & TDEFL_GREEDY_PARSING_FLAG) != 0) &&
((d->m_flags & (TDEFL_FILTER_MATCHES | TDEFL_FORCE_ALL_RAW_BLOCKS |
TDEFL_RLE_MATCHES)) == 0)) {
if (!tdefl_compress_fast(d)) return d->m_prev_return_status;
} else
#endif // #if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
{
if (!tdefl_compress_normal(d)) return d->m_prev_return_status;
}
if ((d->m_flags & (TDEFL_WRITE_ZLIB_HEADER | TDEFL_COMPUTE_ADLER32)) &&
(pIn_buf))
d->m_adler32 =
(mz_uint32)mz_adler32(d->m_adler32, (const mz_uint8 *)pIn_buf,
d->m_pSrc - (const mz_uint8 *)pIn_buf);
if ((flush) && (!d->m_lookahead_size) && (!d->m_src_buf_left) &&
(!d->m_output_flush_remaining)) {
if (tdefl_flush_block(d, flush) < 0) return d->m_prev_return_status;
d->m_finished = (flush == TDEFL_FINISH);
if (flush == TDEFL_FULL_FLUSH) {
MZ_CLEAR_OBJ(d->m_hash);
MZ_CLEAR_OBJ(d->m_next);
d->m_dict_size = 0;
}
}
return (d->m_prev_return_status = tdefl_flush_output_buffer(d));
}
tdefl_status tdefl_compress_buffer(tdefl_compressor *d, const void *pIn_buf,
size_t in_buf_size, tdefl_flush flush) {
MZ_ASSERT(d->m_pPut_buf_func);
return tdefl_compress(d, pIn_buf, &in_buf_size, NULL, NULL, flush);
}
tdefl_status tdefl_init(tdefl_compressor *d,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
d->m_pPut_buf_func = pPut_buf_func;
d->m_pPut_buf_user = pPut_buf_user;
d->m_flags = (mz_uint)(flags);
d->m_max_probes[0] = 1 + ((flags & 0xFFF) + 2) / 3;
d->m_greedy_parsing = (flags & TDEFL_GREEDY_PARSING_FLAG) != 0;
d->m_max_probes[1] = 1 + (((flags & 0xFFF) >> 2) + 2) / 3;
if (!(flags & TDEFL_NONDETERMINISTIC_PARSING_FLAG)) MZ_CLEAR_OBJ(d->m_hash);
d->m_lookahead_pos = d->m_lookahead_size = d->m_dict_size =
d->m_total_lz_bytes = d->m_lz_code_buf_dict_pos = d->m_bits_in = 0;
d->m_output_flush_ofs = d->m_output_flush_remaining = d->m_finished =
d->m_block_index = d->m_bit_buffer = d->m_wants_to_finish = 0;
d->m_pLZ_code_buf = d->m_lz_code_buf + 1;
d->m_pLZ_flags = d->m_lz_code_buf;
d->m_num_flags_left = 8;
d->m_pOutput_buf = d->m_output_buf;
d->m_pOutput_buf_end = d->m_output_buf;
d->m_prev_return_status = TDEFL_STATUS_OKAY;
d->m_saved_match_dist = d->m_saved_match_len = d->m_saved_lit = 0;
d->m_adler32 = 1;
d->m_pIn_buf = NULL;
d->m_pOut_buf = NULL;
d->m_pIn_buf_size = NULL;
d->m_pOut_buf_size = NULL;
d->m_flush = TDEFL_NO_FLUSH;
d->m_pSrc = NULL;
d->m_src_buf_left = 0;
d->m_out_buf_ofs = 0;
memset(&d->m_huff_count[0][0], 0,
sizeof(d->m_huff_count[0][0]) * TDEFL_MAX_HUFF_SYMBOLS_0);
memset(&d->m_huff_count[1][0], 0,
sizeof(d->m_huff_count[1][0]) * TDEFL_MAX_HUFF_SYMBOLS_1);
return TDEFL_STATUS_OKAY;
}
tdefl_status tdefl_get_prev_return_status(tdefl_compressor *d) {
return d->m_prev_return_status;
}
mz_uint32 tdefl_get_adler32(tdefl_compressor *d) { return d->m_adler32; }
mz_bool tdefl_compress_mem_to_output(const void *pBuf, size_t buf_len,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
tdefl_compressor *pComp;
mz_bool succeeded;
if (((buf_len) && (!pBuf)) || (!pPut_buf_func)) return MZ_FALSE;
pComp = (tdefl_compressor *)MZ_MALLOC(sizeof(tdefl_compressor));
if (!pComp) return MZ_FALSE;
succeeded = (tdefl_init(pComp, pPut_buf_func, pPut_buf_user, flags) ==
TDEFL_STATUS_OKAY);
succeeded =
succeeded && (tdefl_compress_buffer(pComp, pBuf, buf_len, TDEFL_FINISH) ==
TDEFL_STATUS_DONE);
MZ_FREE(pComp);
return succeeded;
}
typedef struct {
size_t m_size, m_capacity;
mz_uint8 *m_pBuf;
mz_bool m_expandable;
} tdefl_output_buffer;
static mz_bool tdefl_output_buffer_putter(const void *pBuf, int len,
void *pUser) {
tdefl_output_buffer *p = (tdefl_output_buffer *)pUser;
size_t new_size = p->m_size + len;
if (new_size > p->m_capacity) {
size_t new_capacity = p->m_capacity;
mz_uint8 *pNew_buf;
if (!p->m_expandable) return MZ_FALSE;
do {
new_capacity = MZ_MAX(128U, new_capacity << 1U);
} while (new_size > new_capacity);
pNew_buf = (mz_uint8 *)MZ_REALLOC(p->m_pBuf, new_capacity);
if (!pNew_buf) return MZ_FALSE;
p->m_pBuf = pNew_buf;
p->m_capacity = new_capacity;
}
memcpy((mz_uint8 *)p->m_pBuf + p->m_size, pBuf, len);
p->m_size = new_size;
return MZ_TRUE;
}
void *tdefl_compress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags) {
tdefl_output_buffer out_buf;
MZ_CLEAR_OBJ(out_buf);
if (!pOut_len)
return MZ_FALSE;
else
*pOut_len = 0;
out_buf.m_expandable = MZ_TRUE;
if (!tdefl_compress_mem_to_output(
pSrc_buf, src_buf_len, tdefl_output_buffer_putter, &out_buf, flags))
return NULL;
*pOut_len = out_buf.m_size;
return out_buf.m_pBuf;
}
size_t tdefl_compress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags) {
tdefl_output_buffer out_buf;
MZ_CLEAR_OBJ(out_buf);
if (!pOut_buf) return 0;
out_buf.m_pBuf = (mz_uint8 *)pOut_buf;
out_buf.m_capacity = out_buf_len;
if (!tdefl_compress_mem_to_output(
pSrc_buf, src_buf_len, tdefl_output_buffer_putter, &out_buf, flags))
return 0;
return out_buf.m_size;
}
#ifndef MINIZ_NO_ZLIB_APIS
static const mz_uint s_tdefl_num_probes[11] = {0, 1, 6, 32, 16, 32,
128, 256, 512, 768, 1500};
// level may actually range from [0,10] (10 is a "hidden" max level, where we
// want a bit more compression and it's fine if throughput to fall off a cliff
// on some files).
mz_uint tdefl_create_comp_flags_from_zip_params(int level, int window_bits,
int strategy) {
mz_uint comp_flags =
s_tdefl_num_probes[(level >= 0) ? MZ_MIN(10, level) : MZ_DEFAULT_LEVEL] |
((level <= 3) ? TDEFL_GREEDY_PARSING_FLAG : 0);
if (window_bits > 0) comp_flags |= TDEFL_WRITE_ZLIB_HEADER;
if (!level)
comp_flags |= TDEFL_FORCE_ALL_RAW_BLOCKS;
else if (strategy == MZ_FILTERED)
comp_flags |= TDEFL_FILTER_MATCHES;
else if (strategy == MZ_HUFFMAN_ONLY)
comp_flags &= ~TDEFL_MAX_PROBES_MASK;
else if (strategy == MZ_FIXED)
comp_flags |= TDEFL_FORCE_ALL_STATIC_BLOCKS;
else if (strategy == MZ_RLE)
comp_flags |= TDEFL_RLE_MATCHES;
return comp_flags;
}
#endif // MINIZ_NO_ZLIB_APIS
#ifdef _MSC_VER
#pragma warning(push)
#pragma warning(disable : 4204) // nonstandard extension used : non-constant
// aggregate initializer (also supported by GNU
// C and C99, so no big deal)
#pragma warning(disable : 4244) // 'initializing': conversion from '__int64' to
// 'int', possible loss of data
#pragma warning(disable : 4267) // 'argument': conversion from '__int64' to
// 'int', possible loss of data
#pragma warning(disable : 4996) // 'strdup': The POSIX name for this item is
// deprecated. Instead, use the ISO C and C++
// conformant name: _strdup.
#endif
// Simple PNG writer function by Alex Evans, 2011. Released into the public
// domain: https://gist.github.com/908299, more context at
// http://altdevblogaday.org/2011/04/06/a-smaller-jpg-encoder/.
// This is actually a modification of Alex's original code so PNG files
// generated by this function pass pngcheck.
void *tdefl_write_image_to_png_file_in_memory_ex(const void *pImage, int w,
int h, int num_chans,
size_t *pLen_out,
mz_uint level, mz_bool flip) {
// Using a local copy of this array here in case MINIZ_NO_ZLIB_APIS was
// defined.
static const mz_uint s_tdefl_png_num_probes[11] = {
0, 1, 6, 32, 16, 32, 128, 256, 512, 768, 1500};
tdefl_compressor *pComp =
(tdefl_compressor *)MZ_MALLOC(sizeof(tdefl_compressor));
tdefl_output_buffer out_buf;
int i, bpl = w * num_chans, y, z;
mz_uint32 c;
*pLen_out = 0;
if (!pComp) return NULL;
MZ_CLEAR_OBJ(out_buf);
out_buf.m_expandable = MZ_TRUE;
out_buf.m_capacity = 57 + MZ_MAX(64, (1 + bpl) * h);
if (NULL == (out_buf.m_pBuf = (mz_uint8 *)MZ_MALLOC(out_buf.m_capacity))) {
MZ_FREE(pComp);
return NULL;
}
// write dummy header
for (z = 41; z; --z) tdefl_output_buffer_putter(&z, 1, &out_buf);
// compress image data
tdefl_init(
pComp, tdefl_output_buffer_putter, &out_buf,
s_tdefl_png_num_probes[MZ_MIN(10, level)] | TDEFL_WRITE_ZLIB_HEADER);
for (y = 0; y < h; ++y) {
tdefl_compress_buffer(pComp, &z, 1, TDEFL_NO_FLUSH);
tdefl_compress_buffer(pComp,
(mz_uint8 *)pImage + (flip ? (h - 1 - y) : y) * bpl,
bpl, TDEFL_NO_FLUSH);
}
if (tdefl_compress_buffer(pComp, NULL, 0, TDEFL_FINISH) !=
TDEFL_STATUS_DONE) {
MZ_FREE(pComp);
MZ_FREE(out_buf.m_pBuf);
return NULL;
}
// write real header
*pLen_out = out_buf.m_size - 41;
{
static const mz_uint8 chans[] = {0x00, 0x00, 0x04, 0x02, 0x06};
mz_uint8 pnghdr[41] = {0x89,
0x50,
0x4e,
0x47,
0x0d,
0x0a,
0x1a,
0x0a,
0x00,
0x00,
0x00,
0x0d,
0x49,
0x48,
0x44,
0x52,
0,
0,
(mz_uint8)(w >> 8),
(mz_uint8)w,
0,
0,
(mz_uint8)(h >> 8),
(mz_uint8)h,
8,
chans[num_chans],
0,
0,
0,
0,
0,
0,
0,
(mz_uint8)(*pLen_out >> 24),
(mz_uint8)(*pLen_out >> 16),
(mz_uint8)(*pLen_out >> 8),
(mz_uint8)*pLen_out,
0x49,
0x44,
0x41,
0x54};
c = (mz_uint32)mz_crc32(MZ_CRC32_INIT, pnghdr + 12, 17);
for (i = 0; i < 4; ++i, c <<= 8)
((mz_uint8 *)(pnghdr + 29))[i] = (mz_uint8)(c >> 24);
memcpy(out_buf.m_pBuf, pnghdr, 41);
}
// write footer (IDAT CRC-32, followed by IEND chunk)
if (!tdefl_output_buffer_putter(
"\0\0\0\0\0\0\0\0\x49\x45\x4e\x44\xae\x42\x60\x82", 16, &out_buf)) {
*pLen_out = 0;
MZ_FREE(pComp);
MZ_FREE(out_buf.m_pBuf);
return NULL;
}
c = (mz_uint32)mz_crc32(MZ_CRC32_INIT, out_buf.m_pBuf + 41 - 4,
*pLen_out + 4);
for (i = 0; i < 4; ++i, c <<= 8)
(out_buf.m_pBuf + out_buf.m_size - 16)[i] = (mz_uint8)(c >> 24);
// compute final size of file, grab compressed data buffer and return
*pLen_out += 57;
MZ_FREE(pComp);
return out_buf.m_pBuf;
}
void *tdefl_write_image_to_png_file_in_memory(const void *pImage, int w, int h,
int num_chans, size_t *pLen_out) {
// Level 6 corresponds to TDEFL_DEFAULT_MAX_PROBES or MZ_DEFAULT_LEVEL (but we
// can't depend on MZ_DEFAULT_LEVEL being available in case the zlib API's
// where #defined out)
return tdefl_write_image_to_png_file_in_memory_ex(pImage, w, h, num_chans,
pLen_out, 6, MZ_FALSE);
}
// ------------------- .ZIP archive reading
#ifndef MINIZ_NO_ARCHIVE_APIS
#error "No arvhive APIs"
#ifdef MINIZ_NO_STDIO
#define MZ_FILE void *
#else
#include <stdio.h>
#include <sys/stat.h>
#if defined(_MSC_VER) || defined(__MINGW64__)
static FILE *mz_fopen(const char *pFilename, const char *pMode) {
FILE *pFile = NULL;
fopen_s(&pFile, pFilename, pMode);
return pFile;
}
static FILE *mz_freopen(const char *pPath, const char *pMode, FILE *pStream) {
FILE *pFile = NULL;
if (freopen_s(&pFile, pPath, pMode, pStream)) return NULL;
return pFile;
}
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN mz_fopen
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 _ftelli64
#define MZ_FSEEK64 _fseeki64
#define MZ_FILE_STAT_STRUCT _stat
#define MZ_FILE_STAT _stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN mz_freopen
#define MZ_DELETE_FILE remove
#elif defined(__MINGW32__)
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello64
#define MZ_FSEEK64 fseeko64
#define MZ_FILE_STAT_STRUCT _stat
#define MZ_FILE_STAT _stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#elif defined(__TINYC__)
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftell
#define MZ_FSEEK64 fseek
#define MZ_FILE_STAT_STRUCT stat
#define MZ_FILE_STAT stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#elif defined(__GNUC__) && defined(_LARGEFILE64_SOURCE) && _LARGEFILE64_SOURCE
#ifndef MINIZ_NO_TIME
#include <utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen64(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello64
#define MZ_FSEEK64 fseeko64
#define MZ_FILE_STAT_STRUCT stat64
#define MZ_FILE_STAT stat64
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(p, m, s) freopen64(p, m, s)
#define MZ_DELETE_FILE remove
#else
#ifndef MINIZ_NO_TIME
#include <utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello
#define MZ_FSEEK64 fseeko
#define MZ_FILE_STAT_STRUCT stat
#define MZ_FILE_STAT stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#endif // #ifdef _MSC_VER
#endif // #ifdef MINIZ_NO_STDIO
#define MZ_TOLOWER(c) ((((c) >= 'A') && ((c) <= 'Z')) ? ((c) - 'A' + 'a') : (c))
// Various ZIP archive enums. To completely avoid cross platform compiler
// alignment and platform endian issues, miniz.c doesn't use structs for any of
// this stuff.
enum {
// ZIP archive identifiers and record sizes
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG = 0x06054b50,
MZ_ZIP_CENTRAL_DIR_HEADER_SIG = 0x02014b50,
MZ_ZIP_LOCAL_DIR_HEADER_SIG = 0x04034b50,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE = 30,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE = 46,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE = 22,
// Central directory header record offsets
MZ_ZIP_CDH_SIG_OFS = 0,
MZ_ZIP_CDH_VERSION_MADE_BY_OFS = 4,
MZ_ZIP_CDH_VERSION_NEEDED_OFS = 6,
MZ_ZIP_CDH_BIT_FLAG_OFS = 8,
MZ_ZIP_CDH_METHOD_OFS = 10,
MZ_ZIP_CDH_FILE_TIME_OFS = 12,
MZ_ZIP_CDH_FILE_DATE_OFS = 14,
MZ_ZIP_CDH_CRC32_OFS = 16,
MZ_ZIP_CDH_COMPRESSED_SIZE_OFS = 20,
MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS = 24,
MZ_ZIP_CDH_FILENAME_LEN_OFS = 28,
MZ_ZIP_CDH_EXTRA_LEN_OFS = 30,
MZ_ZIP_CDH_COMMENT_LEN_OFS = 32,
MZ_ZIP_CDH_DISK_START_OFS = 34,
MZ_ZIP_CDH_INTERNAL_ATTR_OFS = 36,
MZ_ZIP_CDH_EXTERNAL_ATTR_OFS = 38,
MZ_ZIP_CDH_LOCAL_HEADER_OFS = 42,
// Local directory header offsets
MZ_ZIP_LDH_SIG_OFS = 0,
MZ_ZIP_LDH_VERSION_NEEDED_OFS = 4,
MZ_ZIP_LDH_BIT_FLAG_OFS = 6,
MZ_ZIP_LDH_METHOD_OFS = 8,
MZ_ZIP_LDH_FILE_TIME_OFS = 10,
MZ_ZIP_LDH_FILE_DATE_OFS = 12,
MZ_ZIP_LDH_CRC32_OFS = 14,
MZ_ZIP_LDH_COMPRESSED_SIZE_OFS = 18,
MZ_ZIP_LDH_DECOMPRESSED_SIZE_OFS = 22,
MZ_ZIP_LDH_FILENAME_LEN_OFS = 26,
MZ_ZIP_LDH_EXTRA_LEN_OFS = 28,
// End of central directory offsets
MZ_ZIP_ECDH_SIG_OFS = 0,
MZ_ZIP_ECDH_NUM_THIS_DISK_OFS = 4,
MZ_ZIP_ECDH_NUM_DISK_CDIR_OFS = 6,
MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS = 8,
MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS = 10,
MZ_ZIP_ECDH_CDIR_SIZE_OFS = 12,
MZ_ZIP_ECDH_CDIR_OFS_OFS = 16,
MZ_ZIP_ECDH_COMMENT_SIZE_OFS = 20,
};
typedef struct {
void *m_p;
size_t m_size, m_capacity;
mz_uint m_element_size;
} mz_zip_array;
struct mz_zip_internal_state_tag {
mz_zip_array m_central_dir;
mz_zip_array m_central_dir_offsets;
mz_zip_array m_sorted_central_dir_offsets;
MZ_FILE *m_pFile;
void *m_pMem;
size_t m_mem_size;
size_t m_mem_capacity;
};
#define MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(array_ptr, element_size) \
(array_ptr)->m_element_size = element_size
#define MZ_ZIP_ARRAY_ELEMENT(array_ptr, element_type, index) \
((element_type *)((array_ptr)->m_p))[index]
static MZ_FORCEINLINE void mz_zip_array_clear(mz_zip_archive *pZip,
mz_zip_array *pArray) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pArray->m_p);
memset(pArray, 0, sizeof(mz_zip_array));
}
static mz_bool mz_zip_array_ensure_capacity(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t min_new_capacity,
mz_uint growing) {
void *pNew_p;
size_t new_capacity = min_new_capacity;
MZ_ASSERT(pArray->m_element_size);
if (pArray->m_capacity >= min_new_capacity) return MZ_TRUE;
if (growing) {
new_capacity = MZ_MAX(1, pArray->m_capacity);
while (new_capacity < min_new_capacity) new_capacity *= 2;
}
if (NULL == (pNew_p = pZip->m_pRealloc(pZip->m_pAlloc_opaque, pArray->m_p,
pArray->m_element_size, new_capacity)))
return MZ_FALSE;
pArray->m_p = pNew_p;
pArray->m_capacity = new_capacity;
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_reserve(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t new_capacity,
mz_uint growing) {
if (new_capacity > pArray->m_capacity) {
if (!mz_zip_array_ensure_capacity(pZip, pArray, new_capacity, growing))
return MZ_FALSE;
}
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_resize(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t new_size,
mz_uint growing) {
if (new_size > pArray->m_capacity) {
if (!mz_zip_array_ensure_capacity(pZip, pArray, new_size, growing))
return MZ_FALSE;
}
pArray->m_size = new_size;
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_ensure_room(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t n) {
return mz_zip_array_reserve(pZip, pArray, pArray->m_size + n, MZ_TRUE);
}
static MZ_FORCEINLINE mz_bool mz_zip_array_push_back(mz_zip_archive *pZip,
mz_zip_array *pArray,
const void *pElements,
size_t n) {
size_t orig_size = pArray->m_size;
if (!mz_zip_array_resize(pZip, pArray, orig_size + n, MZ_TRUE))
return MZ_FALSE;
memcpy((mz_uint8 *)pArray->m_p + orig_size * pArray->m_element_size,
pElements, n * pArray->m_element_size);
return MZ_TRUE;
}
#ifndef MINIZ_NO_TIME
static time_t mz_zip_dos_to_time_t(int dos_time, int dos_date) {
struct tm tm;
memset(&tm, 0, sizeof(tm));
tm.tm_isdst = -1;
tm.tm_year = ((dos_date >> 9) & 127) + 1980 - 1900;
tm.tm_mon = ((dos_date >> 5) & 15) - 1;
tm.tm_mday = dos_date & 31;
tm.tm_hour = (dos_time >> 11) & 31;
tm.tm_min = (dos_time >> 5) & 63;
tm.tm_sec = (dos_time << 1) & 62;
return mktime(&tm);
}
static void mz_zip_time_to_dos_time(time_t time, mz_uint16 *pDOS_time,
mz_uint16 *pDOS_date) {
#ifdef _MSC_VER
struct tm tm_struct;
struct tm *tm = &tm_struct;
errno_t err = localtime_s(tm, &time);
if (err) {
*pDOS_date = 0;
*pDOS_time = 0;
return;
}
#else
struct tm *tm = localtime(&time);
#endif
*pDOS_time = (mz_uint16)(((tm->tm_hour) << 11) + ((tm->tm_min) << 5) +
((tm->tm_sec) >> 1));
*pDOS_date = (mz_uint16)(((tm->tm_year + 1900 - 1980) << 9) +
((tm->tm_mon + 1) << 5) + tm->tm_mday);
}
#endif
#ifndef MINIZ_NO_STDIO
static mz_bool mz_zip_get_file_modified_time(const char *pFilename,
mz_uint16 *pDOS_time,
mz_uint16 *pDOS_date) {
#ifdef MINIZ_NO_TIME
(void)pFilename;
*pDOS_date = *pDOS_time = 0;
#else
struct MZ_FILE_STAT_STRUCT file_stat;
// On Linux with x86 glibc, this call will fail on large files (>= 0x80000000
// bytes) unless you compiled with _LARGEFILE64_SOURCE. Argh.
if (MZ_FILE_STAT(pFilename, &file_stat) != 0) return MZ_FALSE;
mz_zip_time_to_dos_time(file_stat.st_mtime, pDOS_time, pDOS_date);
#endif // #ifdef MINIZ_NO_TIME
return MZ_TRUE;
}
#ifndef MINIZ_NO_TIME
static mz_bool mz_zip_set_file_times(const char *pFilename, time_t access_time,
time_t modified_time) {
struct utimbuf t;
t.actime = access_time;
t.modtime = modified_time;
return !utime(pFilename, &t);
}
#endif // #ifndef MINIZ_NO_TIME
#endif // #ifndef MINIZ_NO_STDIO
static mz_bool mz_zip_reader_init_internal(mz_zip_archive *pZip,
mz_uint32 flags) {
(void)flags;
if ((!pZip) || (pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_INVALID))
return MZ_FALSE;
if (!pZip->m_pAlloc) pZip->m_pAlloc = def_alloc_func;
if (!pZip->m_pFree) pZip->m_pFree = def_free_func;
if (!pZip->m_pRealloc) pZip->m_pRealloc = def_realloc_func;
pZip->m_zip_mode = MZ_ZIP_MODE_READING;
pZip->m_archive_size = 0;
pZip->m_central_directory_file_ofs = 0;
pZip->m_total_files = 0;
if (NULL == (pZip->m_pState = (mz_zip_internal_state *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(mz_zip_internal_state))))
return MZ_FALSE;
memset(pZip->m_pState, 0, sizeof(mz_zip_internal_state));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir,
sizeof(mz_uint8));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir_offsets,
sizeof(mz_uint32));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_sorted_central_dir_offsets,
sizeof(mz_uint32));
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool
mz_zip_reader_filename_less(const mz_zip_array *pCentral_dir_array,
const mz_zip_array *pCentral_dir_offsets,
mz_uint l_index, mz_uint r_index) {
const mz_uint8 *pL = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32,
l_index)),
*pE;
const mz_uint8 *pR = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32, r_index));
mz_uint l_len = MZ_READ_LE16(pL + MZ_ZIP_CDH_FILENAME_LEN_OFS),
r_len = MZ_READ_LE16(pR + MZ_ZIP_CDH_FILENAME_LEN_OFS);
mz_uint8 l = 0, r = 0;
pL += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pR += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pE = pL + MZ_MIN(l_len, r_len);
while (pL < pE) {
if ((l = MZ_TOLOWER(*pL)) != (r = MZ_TOLOWER(*pR))) break;
pL++;
pR++;
}
return (pL == pE) ? (l_len < r_len) : (l < r);
}
#define MZ_SWAP_UINT32(a, b) \
do { \
mz_uint32 t = a; \
a = b; \
b = t; \
} \
MZ_MACRO_END
// Heap sort of lowercased filenames, used to help accelerate plain central
// directory searches by mz_zip_reader_locate_file(). (Could also use qsort(),
// but it could allocate memory.)
static void mz_zip_reader_sort_central_dir_offsets_by_filename(
mz_zip_archive *pZip) {
mz_zip_internal_state *pState = pZip->m_pState;
const mz_zip_array *pCentral_dir_offsets = &pState->m_central_dir_offsets;
const mz_zip_array *pCentral_dir = &pState->m_central_dir;
mz_uint32 *pIndices = &MZ_ZIP_ARRAY_ELEMENT(
&pState->m_sorted_central_dir_offsets, mz_uint32, 0);
const int size = pZip->m_total_files;
int start = (size - 2) >> 1, end;
while (start >= 0) {
int child, root = start;
for (;;) {
if ((child = (root << 1) + 1) >= size) break;
child +=
(((child + 1) < size) &&
(mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[child], pIndices[child + 1])));
if (!mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[root], pIndices[child]))
break;
MZ_SWAP_UINT32(pIndices[root], pIndices[child]);
root = child;
}
start--;
}
end = size - 1;
while (end > 0) {
int child, root = 0;
MZ_SWAP_UINT32(pIndices[end], pIndices[0]);
for (;;) {
if ((child = (root << 1) + 1) >= end) break;
child +=
(((child + 1) < end) &&
mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[child], pIndices[child + 1]));
if (!mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[root], pIndices[child]))
break;
MZ_SWAP_UINT32(pIndices[root], pIndices[child]);
root = child;
}
end--;
}
}
static mz_bool mz_zip_reader_read_central_dir(mz_zip_archive *pZip,
mz_uint32 flags) {
mz_uint cdir_size, num_this_disk, cdir_disk_index;
mz_uint64 cdir_ofs;
mz_int64 cur_file_ofs;
const mz_uint8 *p;
mz_uint32 buf_u32[4096 / sizeof(mz_uint32)];
mz_uint8 *pBuf = (mz_uint8 *)buf_u32;
mz_bool sort_central_dir =
((flags & MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY) == 0);
// Basic sanity checks - reject files which are too small, and check the first
// 4 bytes of the file to make sure a local header is there.
if (pZip->m_archive_size < MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
// Find the end of central directory record by scanning the file from the end
// towards the beginning.
cur_file_ofs =
MZ_MAX((mz_int64)pZip->m_archive_size - (mz_int64)sizeof(buf_u32), 0);
for (;;) {
int i,
n = (int)MZ_MIN(sizeof(buf_u32), pZip->m_archive_size - cur_file_ofs);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf, n) != (mz_uint)n)
return MZ_FALSE;
for (i = n - 4; i >= 0; --i)
if (MZ_READ_LE32(pBuf + i) == MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG) break;
if (i >= 0) {
cur_file_ofs += i;
break;
}
if ((!cur_file_ofs) || ((pZip->m_archive_size - cur_file_ofs) >=
(0xFFFF + MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)))
return MZ_FALSE;
cur_file_ofs = MZ_MAX(cur_file_ofs - (sizeof(buf_u32) - 3), 0);
}
// Read and verify the end of central directory record.
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE) !=
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if ((MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_SIG_OFS) !=
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG) ||
((pZip->m_total_files =
MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS)) !=
MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS)))
return MZ_FALSE;
num_this_disk = MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_NUM_THIS_DISK_OFS);
cdir_disk_index = MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_NUM_DISK_CDIR_OFS);
if (((num_this_disk | cdir_disk_index) != 0) &&
((num_this_disk != 1) || (cdir_disk_index != 1)))
return MZ_FALSE;
if ((cdir_size = MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_CDIR_SIZE_OFS)) <
pZip->m_total_files * MZ_ZIP_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
cdir_ofs = MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_CDIR_OFS_OFS);
if ((cdir_ofs + (mz_uint64)cdir_size) > pZip->m_archive_size) return MZ_FALSE;
pZip->m_central_directory_file_ofs = cdir_ofs;
if (pZip->m_total_files) {
mz_uint i, n;
// Read the entire central directory into a heap block, and allocate another
// heap block to hold the unsorted central dir file record offsets, and
// another to hold the sorted indices.
if ((!mz_zip_array_resize(pZip, &pZip->m_pState->m_central_dir, cdir_size,
MZ_FALSE)) ||
(!mz_zip_array_resize(pZip, &pZip->m_pState->m_central_dir_offsets,
pZip->m_total_files, MZ_FALSE)))
return MZ_FALSE;
if (sort_central_dir) {
if (!mz_zip_array_resize(pZip,
&pZip->m_pState->m_sorted_central_dir_offsets,
pZip->m_total_files, MZ_FALSE))
return MZ_FALSE;
}
if (pZip->m_pRead(pZip->m_pIO_opaque, cdir_ofs,
pZip->m_pState->m_central_dir.m_p,
cdir_size) != cdir_size)
return MZ_FALSE;
// Now create an index into the central directory file records, do some
// basic sanity checking on each record, and check for zip64 entries (which
// are not yet supported).
p = (const mz_uint8 *)pZip->m_pState->m_central_dir.m_p;
for (n = cdir_size, i = 0; i < pZip->m_total_files; ++i) {
mz_uint total_header_size, comp_size, decomp_size, disk_index;
if ((n < MZ_ZIP_CENTRAL_DIR_HEADER_SIZE) ||
(MZ_READ_LE32(p) != MZ_ZIP_CENTRAL_DIR_HEADER_SIG))
return MZ_FALSE;
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
i) =
(mz_uint32)(p - (const mz_uint8 *)pZip->m_pState->m_central_dir.m_p);
if (sort_central_dir)
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_sorted_central_dir_offsets,
mz_uint32, i) = i;
comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
decomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
if (((!MZ_READ_LE32(p + MZ_ZIP_CDH_METHOD_OFS)) &&
(decomp_size != comp_size)) ||
(decomp_size && !comp_size) || (decomp_size == 0xFFFFFFFF) ||
(comp_size == 0xFFFFFFFF))
return MZ_FALSE;
disk_index = MZ_READ_LE16(p + MZ_ZIP_CDH_DISK_START_OFS);
if ((disk_index != num_this_disk) && (disk_index != 1)) return MZ_FALSE;
if (((mz_uint64)MZ_READ_LE32(p + MZ_ZIP_CDH_LOCAL_HEADER_OFS) +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + comp_size) > pZip->m_archive_size)
return MZ_FALSE;
if ((total_header_size = MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_EXTRA_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_COMMENT_LEN_OFS)) >
n)
return MZ_FALSE;
n -= total_header_size;
p += total_header_size;
}
}
if (sort_central_dir)
mz_zip_reader_sort_central_dir_offsets_by_filename(pZip);
return MZ_TRUE;
}
mz_bool mz_zip_reader_init(mz_zip_archive *pZip, mz_uint64 size,
mz_uint32 flags) {
if ((!pZip) || (!pZip->m_pRead)) return MZ_FALSE;
if (!mz_zip_reader_init_internal(pZip, flags)) return MZ_FALSE;
pZip->m_archive_size = size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
static size_t mz_zip_mem_read_func(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
size_t s = (file_ofs >= pZip->m_archive_size)
? 0
: (size_t)MZ_MIN(pZip->m_archive_size - file_ofs, n);
memcpy(pBuf, (const mz_uint8 *)pZip->m_pState->m_pMem + file_ofs, s);
return s;
}
mz_bool mz_zip_reader_init_mem(mz_zip_archive *pZip, const void *pMem,
size_t size, mz_uint32 flags) {
if (!mz_zip_reader_init_internal(pZip, flags)) return MZ_FALSE;
pZip->m_archive_size = size;
pZip->m_pRead = mz_zip_mem_read_func;
pZip->m_pIO_opaque = pZip;
#ifdef __cplusplus
pZip->m_pState->m_pMem = const_cast<void *>(pMem);
#else
pZip->m_pState->m_pMem = (void *)pMem;
#endif
pZip->m_pState->m_mem_size = size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_read_func(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_int64 cur_ofs = MZ_FTELL64(pZip->m_pState->m_pFile);
if (((mz_int64)file_ofs < 0) ||
(((cur_ofs != (mz_int64)file_ofs)) &&
(MZ_FSEEK64(pZip->m_pState->m_pFile, (mz_int64)file_ofs, SEEK_SET))))
return 0;
return MZ_FREAD(pBuf, 1, n, pZip->m_pState->m_pFile);
}
mz_bool mz_zip_reader_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint32 flags) {
mz_uint64 file_size;
MZ_FILE *pFile = MZ_FOPEN(pFilename, "rb");
if (!pFile) return MZ_FALSE;
if (MZ_FSEEK64(pFile, 0, SEEK_END)) {
MZ_FCLOSE(pFile);
return MZ_FALSE;
}
file_size = MZ_FTELL64(pFile);
if (!mz_zip_reader_init_internal(pZip, flags)) {
MZ_FCLOSE(pFile);
return MZ_FALSE;
}
pZip->m_pRead = mz_zip_file_read_func;
pZip->m_pIO_opaque = pZip;
pZip->m_pState->m_pFile = pFile;
pZip->m_archive_size = file_size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_uint mz_zip_reader_get_num_files(mz_zip_archive *pZip) {
return pZip ? pZip->m_total_files : 0;
}
static MZ_FORCEINLINE const mz_uint8 *mz_zip_reader_get_cdh(
mz_zip_archive *pZip, mz_uint file_index) {
if ((!pZip) || (!pZip->m_pState) || (file_index >= pZip->m_total_files) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return NULL;
return &MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
file_index));
}
mz_bool mz_zip_reader_is_file_encrypted(mz_zip_archive *pZip,
mz_uint file_index) {
mz_uint m_bit_flag;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) return MZ_FALSE;
m_bit_flag = MZ_READ_LE16(p + MZ_ZIP_CDH_BIT_FLAG_OFS);
return (m_bit_flag & 1);
}
mz_bool mz_zip_reader_is_file_a_directory(mz_zip_archive *pZip,
mz_uint file_index) {
mz_uint filename_len, external_attr;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) return MZ_FALSE;
// First see if the filename ends with a '/' character.
filename_len = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
if (filename_len) {
if (*(p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + filename_len - 1) == '/')
return MZ_TRUE;
}
// Bugfix: This code was also checking if the internal attribute was non-zero,
// which wasn't correct.
// Most/all zip writers (hopefully) set DOS file/directory attributes in the
// low 16-bits, so check for the DOS directory flag and ignore the source OS
// ID in the created by field.
// FIXME: Remove this check? Is it necessary - we already check the filename.
external_attr = MZ_READ_LE32(p + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS);
if ((external_attr & 0x10) != 0) return MZ_TRUE;
return MZ_FALSE;
}
mz_bool mz_zip_reader_file_stat(mz_zip_archive *pZip, mz_uint file_index,
mz_zip_archive_file_stat *pStat) {
mz_uint n;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if ((!p) || (!pStat)) return MZ_FALSE;
// Unpack the central directory record.
pStat->m_file_index = file_index;
pStat->m_central_dir_ofs = MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir_offsets, mz_uint32, file_index);
pStat->m_version_made_by = MZ_READ_LE16(p + MZ_ZIP_CDH_VERSION_MADE_BY_OFS);
pStat->m_version_needed = MZ_READ_LE16(p + MZ_ZIP_CDH_VERSION_NEEDED_OFS);
pStat->m_bit_flag = MZ_READ_LE16(p + MZ_ZIP_CDH_BIT_FLAG_OFS);
pStat->m_method = MZ_READ_LE16(p + MZ_ZIP_CDH_METHOD_OFS);
#ifndef MINIZ_NO_TIME
pStat->m_time =
mz_zip_dos_to_time_t(MZ_READ_LE16(p + MZ_ZIP_CDH_FILE_TIME_OFS),
MZ_READ_LE16(p + MZ_ZIP_CDH_FILE_DATE_OFS));
#endif
pStat->m_crc32 = MZ_READ_LE32(p + MZ_ZIP_CDH_CRC32_OFS);
pStat->m_comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
pStat->m_uncomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
pStat->m_internal_attr = MZ_READ_LE16(p + MZ_ZIP_CDH_INTERNAL_ATTR_OFS);
pStat->m_external_attr = MZ_READ_LE32(p + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS);
pStat->m_local_header_ofs = MZ_READ_LE32(p + MZ_ZIP_CDH_LOCAL_HEADER_OFS);
// Copy as much of the filename and comment as possible.
n = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
n = MZ_MIN(n, MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE - 1);
memcpy(pStat->m_filename, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n);
pStat->m_filename[n] = '\0';
n = MZ_READ_LE16(p + MZ_ZIP_CDH_COMMENT_LEN_OFS);
n = MZ_MIN(n, MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE - 1);
pStat->m_comment_size = n;
memcpy(pStat->m_comment,
p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_EXTRA_LEN_OFS),
n);
pStat->m_comment[n] = '\0';
return MZ_TRUE;
}
mz_uint mz_zip_reader_get_filename(mz_zip_archive *pZip, mz_uint file_index,
char *pFilename, mz_uint filename_buf_size) {
mz_uint n;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) {
if (filename_buf_size) pFilename[0] = '\0';
return 0;
}
n = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
if (filename_buf_size) {
n = MZ_MIN(n, filename_buf_size - 1);
memcpy(pFilename, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n);
pFilename[n] = '\0';
}
return n + 1;
}
static MZ_FORCEINLINE mz_bool mz_zip_reader_string_equal(const char *pA,
const char *pB,
mz_uint len,
mz_uint flags) {
mz_uint i;
if (flags & MZ_ZIP_FLAG_CASE_SENSITIVE) return 0 == memcmp(pA, pB, len);
for (i = 0; i < len; ++i)
if (MZ_TOLOWER(pA[i]) != MZ_TOLOWER(pB[i])) return MZ_FALSE;
return MZ_TRUE;
}
static MZ_FORCEINLINE int mz_zip_reader_filename_compare(
const mz_zip_array *pCentral_dir_array,
const mz_zip_array *pCentral_dir_offsets, mz_uint l_index, const char *pR,
mz_uint r_len) {
const mz_uint8 *pL = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32,
l_index)),
*pE;
mz_uint l_len = MZ_READ_LE16(pL + MZ_ZIP_CDH_FILENAME_LEN_OFS);
mz_uint8 l = 0, r = 0;
pL += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pE = pL + MZ_MIN(l_len, r_len);
while (pL < pE) {
if ((l = MZ_TOLOWER(*pL)) != (r = MZ_TOLOWER(*pR))) break;
pL++;
pR++;
}
return (pL == pE) ? (int)(l_len - r_len) : (l - r);
}
static int mz_zip_reader_locate_file_binary_search(mz_zip_archive *pZip,
const char *pFilename) {
mz_zip_internal_state *pState = pZip->m_pState;
const mz_zip_array *pCentral_dir_offsets = &pState->m_central_dir_offsets;
const mz_zip_array *pCentral_dir = &pState->m_central_dir;
mz_uint32 *pIndices = &MZ_ZIP_ARRAY_ELEMENT(
&pState->m_sorted_central_dir_offsets, mz_uint32, 0);
const int size = pZip->m_total_files;
const mz_uint filename_len = (mz_uint)strlen(pFilename);
int l = 0, h = size - 1;
while (l <= h) {
int m = (l + h) >> 1, file_index = pIndices[m],
comp =
mz_zip_reader_filename_compare(pCentral_dir, pCentral_dir_offsets,
file_index, pFilename, filename_len);
if (!comp)
return file_index;
else if (comp < 0)
l = m + 1;
else
h = m - 1;
}
return -1;
}
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags) {
mz_uint file_index;
size_t name_len, comment_len;
if ((!pZip) || (!pZip->m_pState) || (!pName) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return -1;
if (((flags & (MZ_ZIP_FLAG_IGNORE_PATH | MZ_ZIP_FLAG_CASE_SENSITIVE)) == 0) &&
(!pComment) && (pZip->m_pState->m_sorted_central_dir_offsets.m_size))
return mz_zip_reader_locate_file_binary_search(pZip, pName);
name_len = strlen(pName);
if (name_len > 0xFFFF) return -1;
comment_len = pComment ? strlen(pComment) : 0;
if (comment_len > 0xFFFF) return -1;
for (file_index = 0; file_index < pZip->m_total_files; file_index++) {
const mz_uint8 *pHeader = &MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
file_index));
mz_uint filename_len = MZ_READ_LE16(pHeader + MZ_ZIP_CDH_FILENAME_LEN_OFS);
const char *pFilename =
(const char *)pHeader + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
if (filename_len < name_len) continue;
if (comment_len) {
mz_uint file_extra_len = MZ_READ_LE16(pHeader + MZ_ZIP_CDH_EXTRA_LEN_OFS),
file_comment_len =
MZ_READ_LE16(pHeader + MZ_ZIP_CDH_COMMENT_LEN_OFS);
const char *pFile_comment = pFilename + filename_len + file_extra_len;
if ((file_comment_len != comment_len) ||
(!mz_zip_reader_string_equal(pComment, pFile_comment,
file_comment_len, flags)))
continue;
}
if ((flags & MZ_ZIP_FLAG_IGNORE_PATH) && (filename_len)) {
int ofs = filename_len - 1;
do {
if ((pFilename[ofs] == '/') || (pFilename[ofs] == '\\') ||
(pFilename[ofs] == ':'))
break;
} while (--ofs >= 0);
ofs++;
pFilename += ofs;
filename_len -= ofs;
}
if ((filename_len == name_len) &&
(mz_zip_reader_string_equal(pName, pFilename, filename_len, flags)))
return file_index;
}
return -1;
}
mz_bool mz_zip_reader_extract_to_mem_no_alloc(mz_zip_archive *pZip,
mz_uint file_index, void *pBuf,
size_t buf_size, mz_uint flags,
void *pUser_read_buf,
size_t user_read_buf_size) {
int status = TINFL_STATUS_DONE;
mz_uint64 needed_size, cur_file_ofs, comp_remaining,
out_buf_ofs = 0, read_buf_size, read_buf_ofs = 0, read_buf_avail;
mz_zip_archive_file_stat file_stat;
void *pRead_buf;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
tinfl_decompressor inflator;
if ((buf_size) && (!pBuf)) return MZ_FALSE;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
// Empty file, or a directory (but not always a directory - I've seen odd zips
// with directories that have compressed data which inflates to 0 bytes)
if (!file_stat.m_comp_size) return MZ_TRUE;
// Entry is a subdirectory (I've seen old zips with dir entries which have
// compressed deflate data which inflates to 0 bytes, but these entries claim
// to uncompress to 512 bytes in the headers).
// I'm torn how to handle this case - should it fail instead?
if (mz_zip_reader_is_file_a_directory(pZip, file_index)) return MZ_TRUE;
// Encryption and patch files are not supported.
if (file_stat.m_bit_flag & (1 | 32)) return MZ_FALSE;
// This function only supports stored and deflate.
if ((!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (file_stat.m_method != 0) &&
(file_stat.m_method != MZ_DEFLATED))
return MZ_FALSE;
// Ensure supplied output buffer is large enough.
needed_size = (flags & MZ_ZIP_FLAG_COMPRESSED_DATA) ? file_stat.m_comp_size
: file_stat.m_uncomp_size;
if (buf_size < needed_size) return MZ_FALSE;
// Read and parse the local directory entry.
cur_file_ofs = file_stat.m_local_header_ofs;
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
if ((cur_file_ofs + file_stat.m_comp_size) > pZip->m_archive_size)
return MZ_FALSE;
if ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) || (!file_stat.m_method)) {
// The file is stored or the caller has requested the compressed data.
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf,
(size_t)needed_size) != needed_size)
return MZ_FALSE;
return ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) != 0) ||
(mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf,
(size_t)file_stat.m_uncomp_size) == file_stat.m_crc32);
}
// Decompress the file either directly from memory or from a file input
// buffer.
tinfl_init(&inflator);
if (pZip->m_pState->m_pMem) {
// Read directly from the archive in memory.
pRead_buf = (mz_uint8 *)pZip->m_pState->m_pMem + cur_file_ofs;
read_buf_size = read_buf_avail = file_stat.m_comp_size;
comp_remaining = 0;
} else if (pUser_read_buf) {
// Use a user provided read buffer.
if (!user_read_buf_size) return MZ_FALSE;
pRead_buf = (mz_uint8 *)pUser_read_buf;
read_buf_size = user_read_buf_size;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
} else {
// Temporarily allocate a read buffer.
read_buf_size =
MZ_MIN(file_stat.m_comp_size, (mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) &&
(read_buf_size > 0x7FFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) && (read_buf_size > 0x7FFFFFFF))
#endif
return MZ_FALSE;
if (NULL == (pRead_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
(size_t)read_buf_size)))
return MZ_FALSE;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
}
do {
size_t in_buf_size,
out_buf_size = (size_t)(file_stat.m_uncomp_size - out_buf_ofs);
if ((!read_buf_avail) && (!pZip->m_pState->m_pMem)) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
read_buf_ofs = 0;
}
in_buf_size = (size_t)read_buf_avail;
status = tinfl_decompress(
&inflator, (mz_uint8 *)pRead_buf + read_buf_ofs, &in_buf_size,
(mz_uint8 *)pBuf, (mz_uint8 *)pBuf + out_buf_ofs, &out_buf_size,
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF |
(comp_remaining ? TINFL_FLAG_HAS_MORE_INPUT : 0));
read_buf_avail -= in_buf_size;
read_buf_ofs += in_buf_size;
out_buf_ofs += out_buf_size;
} while (status == TINFL_STATUS_NEEDS_MORE_INPUT);
if (status == TINFL_STATUS_DONE) {
// Make sure the entire file was decompressed, and check its CRC.
if ((out_buf_ofs != file_stat.m_uncomp_size) ||
(mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf,
(size_t)file_stat.m_uncomp_size) != file_stat.m_crc32))
status = TINFL_STATUS_FAILED;
}
if ((!pZip->m_pState->m_pMem) && (!pUser_read_buf))
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
return status == TINFL_STATUS_DONE;
}
mz_bool mz_zip_reader_extract_file_to_mem_no_alloc(
mz_zip_archive *pZip, const char *pFilename, void *pBuf, size_t buf_size,
mz_uint flags, void *pUser_read_buf, size_t user_read_buf_size) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_mem_no_alloc(pZip, file_index, pBuf, buf_size,
flags, pUser_read_buf,
user_read_buf_size);
}
mz_bool mz_zip_reader_extract_to_mem(mz_zip_archive *pZip, mz_uint file_index,
void *pBuf, size_t buf_size,
mz_uint flags) {
return mz_zip_reader_extract_to_mem_no_alloc(pZip, file_index, pBuf, buf_size,
flags, NULL, 0);
}
mz_bool mz_zip_reader_extract_file_to_mem(mz_zip_archive *pZip,
const char *pFilename, void *pBuf,
size_t buf_size, mz_uint flags) {
return mz_zip_reader_extract_file_to_mem_no_alloc(pZip, pFilename, pBuf,
buf_size, flags, NULL, 0);
}
void *mz_zip_reader_extract_to_heap(mz_zip_archive *pZip, mz_uint file_index,
size_t *pSize, mz_uint flags) {
mz_uint64 comp_size, uncomp_size, alloc_size;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
void *pBuf;
if (pSize) *pSize = 0;
if (!p) return NULL;
comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
uncomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
alloc_size = (flags & MZ_ZIP_FLAG_COMPRESSED_DATA) ? comp_size : uncomp_size;
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) && (alloc_size > 0x7FFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) && (alloc_size > 0x7FFFFFFF))
#endif
return NULL;
if (NULL ==
(pBuf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1, (size_t)alloc_size)))
return NULL;
if (!mz_zip_reader_extract_to_mem(pZip, file_index, pBuf, (size_t)alloc_size,
flags)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return NULL;
}
if (pSize) *pSize = (size_t)alloc_size;
return pBuf;
}
void *mz_zip_reader_extract_file_to_heap(mz_zip_archive *pZip,
const char *pFilename, size_t *pSize,
mz_uint flags) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) {
if (pSize) *pSize = 0;
return MZ_FALSE;
}
return mz_zip_reader_extract_to_heap(pZip, file_index, pSize, flags);
}
mz_bool mz_zip_reader_extract_to_callback(mz_zip_archive *pZip,
mz_uint file_index,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags) {
int status = TINFL_STATUS_DONE;
mz_uint file_crc32 = MZ_CRC32_INIT;
mz_uint64 read_buf_size, read_buf_ofs = 0, read_buf_avail, comp_remaining,
out_buf_ofs = 0, cur_file_ofs;
mz_zip_archive_file_stat file_stat;
void *pRead_buf = NULL;
void *pWrite_buf = NULL;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
// Empty file, or a directory (but not always a directory - I've seen odd zips
// with directories that have compressed data which inflates to 0 bytes)
if (!file_stat.m_comp_size) return MZ_TRUE;
// Entry is a subdirectory (I've seen old zips with dir entries which have
// compressed deflate data which inflates to 0 bytes, but these entries claim
// to uncompress to 512 bytes in the headers).
// I'm torn how to handle this case - should it fail instead?
if (mz_zip_reader_is_file_a_directory(pZip, file_index)) return MZ_TRUE;
// Encryption and patch files are not supported.
if (file_stat.m_bit_flag & (1 | 32)) return MZ_FALSE;
// This function only supports stored and deflate.
if ((!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (file_stat.m_method != 0) &&
(file_stat.m_method != MZ_DEFLATED))
return MZ_FALSE;
// Read and parse the local directory entry.
cur_file_ofs = file_stat.m_local_header_ofs;
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
if ((cur_file_ofs + file_stat.m_comp_size) > pZip->m_archive_size)
return MZ_FALSE;
// Decompress the file either directly from memory or from a file input
// buffer.
if (pZip->m_pState->m_pMem) {
pRead_buf = (mz_uint8 *)pZip->m_pState->m_pMem + cur_file_ofs;
read_buf_size = read_buf_avail = file_stat.m_comp_size;
comp_remaining = 0;
} else {
read_buf_size =
MZ_MIN(file_stat.m_comp_size, (mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
if (NULL == (pRead_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
(size_t)read_buf_size)))
return MZ_FALSE;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
}
if ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) || (!file_stat.m_method)) {
// The file is stored or the caller has requested the compressed data.
if (pZip->m_pState->m_pMem) {
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) &&
(file_stat.m_comp_size > 0xFFFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) &&
(file_stat.m_comp_size > 0xFFFFFFFF))
#endif
return MZ_FALSE;
if (pCallback(pOpaque, out_buf_ofs, pRead_buf,
(size_t)file_stat.m_comp_size) != file_stat.m_comp_size)
status = TINFL_STATUS_FAILED;
else if (!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))
file_crc32 =
(mz_uint32)mz_crc32(file_crc32, (const mz_uint8 *)pRead_buf,
(size_t)file_stat.m_comp_size);
cur_file_ofs += file_stat.m_comp_size;
out_buf_ofs += file_stat.m_comp_size;
comp_remaining = 0;
} else {
while (comp_remaining) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
if (!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))
file_crc32 = (mz_uint32)mz_crc32(
file_crc32, (const mz_uint8 *)pRead_buf, (size_t)read_buf_avail);
if (pCallback(pOpaque, out_buf_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
out_buf_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
}
}
} else {
tinfl_decompressor inflator;
tinfl_init(&inflator);
if (NULL == (pWrite_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
TINFL_LZ_DICT_SIZE)))
status = TINFL_STATUS_FAILED;
else {
do {
mz_uint8 *pWrite_buf_cur =
(mz_uint8 *)pWrite_buf + (out_buf_ofs & (TINFL_LZ_DICT_SIZE - 1));
size_t in_buf_size,
out_buf_size =
TINFL_LZ_DICT_SIZE - (out_buf_ofs & (TINFL_LZ_DICT_SIZE - 1));
if ((!read_buf_avail) && (!pZip->m_pState->m_pMem)) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
read_buf_ofs = 0;
}
in_buf_size = (size_t)read_buf_avail;
status = tinfl_decompress(
&inflator, (const mz_uint8 *)pRead_buf + read_buf_ofs, &in_buf_size,
(mz_uint8 *)pWrite_buf, pWrite_buf_cur, &out_buf_size,
comp_remaining ? TINFL_FLAG_HAS_MORE_INPUT : 0);
read_buf_avail -= in_buf_size;
read_buf_ofs += in_buf_size;
if (out_buf_size) {
if (pCallback(pOpaque, out_buf_ofs, pWrite_buf_cur, out_buf_size) !=
out_buf_size) {
status = TINFL_STATUS_FAILED;
break;
}
file_crc32 =
(mz_uint32)mz_crc32(file_crc32, pWrite_buf_cur, out_buf_size);
if ((out_buf_ofs += out_buf_size) > file_stat.m_uncomp_size) {
status = TINFL_STATUS_FAILED;
break;
}
}
} while ((status == TINFL_STATUS_NEEDS_MORE_INPUT) ||
(status == TINFL_STATUS_HAS_MORE_OUTPUT));
}
}
if ((status == TINFL_STATUS_DONE) &&
(!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))) {
// Make sure the entire file was decompressed, and check its CRC.
if ((out_buf_ofs != file_stat.m_uncomp_size) ||
(file_crc32 != file_stat.m_crc32))
status = TINFL_STATUS_FAILED;
}
if (!pZip->m_pState->m_pMem) pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
if (pWrite_buf) pZip->m_pFree(pZip->m_pAlloc_opaque, pWrite_buf);
return status == TINFL_STATUS_DONE;
}
mz_bool mz_zip_reader_extract_file_to_callback(mz_zip_archive *pZip,
const char *pFilename,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_callback(pZip, file_index, pCallback, pOpaque,
flags);
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_write_callback(void *pOpaque, mz_uint64 ofs,
const void *pBuf, size_t n) {
(void)ofs;
return MZ_FWRITE(pBuf, 1, n, (MZ_FILE *)pOpaque);
}
mz_bool mz_zip_reader_extract_to_file(mz_zip_archive *pZip, mz_uint file_index,
const char *pDst_filename,
mz_uint flags) {
mz_bool status;
mz_zip_archive_file_stat file_stat;
MZ_FILE *pFile;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
pFile = MZ_FOPEN(pDst_filename, "wb");
if (!pFile) return MZ_FALSE;
status = mz_zip_reader_extract_to_callback(
pZip, file_index, mz_zip_file_write_callback, pFile, flags);
if (MZ_FCLOSE(pFile) == EOF) return MZ_FALSE;
#ifndef MINIZ_NO_TIME
if (status)
mz_zip_set_file_times(pDst_filename, file_stat.m_time, file_stat.m_time);
#endif
return status;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_end(mz_zip_archive *pZip) {
if ((!pZip) || (!pZip->m_pState) || (!pZip->m_pAlloc) || (!pZip->m_pFree) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return MZ_FALSE;
if (pZip->m_pState) {
mz_zip_internal_state *pState = pZip->m_pState;
pZip->m_pState = NULL;
mz_zip_array_clear(pZip, &pState->m_central_dir);
mz_zip_array_clear(pZip, &pState->m_central_dir_offsets);
mz_zip_array_clear(pZip, &pState->m_sorted_central_dir_offsets);
#ifndef MINIZ_NO_STDIO
if (pState->m_pFile) {
MZ_FCLOSE(pState->m_pFile);
pState->m_pFile = NULL;
}
#endif // #ifndef MINIZ_NO_STDIO
pZip->m_pFree(pZip->m_pAlloc_opaque, pState);
}
pZip->m_zip_mode = MZ_ZIP_MODE_INVALID;
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_extract_file_to_file(mz_zip_archive *pZip,
const char *pArchive_filename,
const char *pDst_filename,
mz_uint flags) {
int file_index =
mz_zip_reader_locate_file(pZip, pArchive_filename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_file(pZip, file_index, pDst_filename, flags);
}
#endif
// ------------------- .ZIP archive writing
#ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
static void mz_write_le16(mz_uint8 *p, mz_uint16 v) {
p[0] = (mz_uint8)v;
p[1] = (mz_uint8)(v >> 8);
}
static void mz_write_le32(mz_uint8 *p, mz_uint32 v) {
p[0] = (mz_uint8)v;
p[1] = (mz_uint8)(v >> 8);
p[2] = (mz_uint8)(v >> 16);
p[3] = (mz_uint8)(v >> 24);
}
#define MZ_WRITE_LE16(p, v) mz_write_le16((mz_uint8 *)(p), (mz_uint16)(v))
#define MZ_WRITE_LE32(p, v) mz_write_le32((mz_uint8 *)(p), (mz_uint32)(v))
mz_bool mz_zip_writer_init(mz_zip_archive *pZip, mz_uint64 existing_size) {
if ((!pZip) || (pZip->m_pState) || (!pZip->m_pWrite) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_INVALID))
return MZ_FALSE;
if (pZip->m_file_offset_alignment) {
// Ensure user specified file offset alignment is a power of 2.
if (pZip->m_file_offset_alignment & (pZip->m_file_offset_alignment - 1))
return MZ_FALSE;
}
if (!pZip->m_pAlloc) pZip->m_pAlloc = def_alloc_func;
if (!pZip->m_pFree) pZip->m_pFree = def_free_func;
if (!pZip->m_pRealloc) pZip->m_pRealloc = def_realloc_func;
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING;
pZip->m_archive_size = existing_size;
pZip->m_central_directory_file_ofs = 0;
pZip->m_total_files = 0;
if (NULL == (pZip->m_pState = (mz_zip_internal_state *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(mz_zip_internal_state))))
return MZ_FALSE;
memset(pZip->m_pState, 0, sizeof(mz_zip_internal_state));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir,
sizeof(mz_uint8));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir_offsets,
sizeof(mz_uint32));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_sorted_central_dir_offsets,
sizeof(mz_uint32));
return MZ_TRUE;
}
static size_t mz_zip_heap_write_func(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_zip_internal_state *pState = pZip->m_pState;
mz_uint64 new_size = MZ_MAX(file_ofs + n, pState->m_mem_size);
#ifdef _MSC_VER
if ((!n) ||
((0, sizeof(size_t) == sizeof(mz_uint32)) && (new_size > 0x7FFFFFFF)))
#else
if ((!n) ||
((sizeof(size_t) == sizeof(mz_uint32)) && (new_size > 0x7FFFFFFF)))
#endif
return 0;
if (new_size > pState->m_mem_capacity) {
void *pNew_block;
size_t new_capacity = MZ_MAX(64, pState->m_mem_capacity);
while (new_capacity < new_size) new_capacity *= 2;
if (NULL == (pNew_block = pZip->m_pRealloc(
pZip->m_pAlloc_opaque, pState->m_pMem, 1, new_capacity)))
return 0;
pState->m_pMem = pNew_block;
pState->m_mem_capacity = new_capacity;
}
memcpy((mz_uint8 *)pState->m_pMem + file_ofs, pBuf, n);
pState->m_mem_size = (size_t)new_size;
return n;
}
mz_bool mz_zip_writer_init_heap(mz_zip_archive *pZip,
size_t size_to_reserve_at_beginning,
size_t initial_allocation_size) {
pZip->m_pWrite = mz_zip_heap_write_func;
pZip->m_pIO_opaque = pZip;
if (!mz_zip_writer_init(pZip, size_to_reserve_at_beginning)) return MZ_FALSE;
if (0 != (initial_allocation_size = MZ_MAX(initial_allocation_size,
size_to_reserve_at_beginning))) {
if (NULL == (pZip->m_pState->m_pMem = pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, initial_allocation_size))) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
pZip->m_pState->m_mem_capacity = initial_allocation_size;
}
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_write_func(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_int64 cur_ofs = MZ_FTELL64(pZip->m_pState->m_pFile);
if (((mz_int64)file_ofs < 0) ||
(((cur_ofs != (mz_int64)file_ofs)) &&
(MZ_FSEEK64(pZip->m_pState->m_pFile, (mz_int64)file_ofs, SEEK_SET))))
return 0;
return MZ_FWRITE(pBuf, 1, n, pZip->m_pState->m_pFile);
}
mz_bool mz_zip_writer_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint64 size_to_reserve_at_beginning) {
MZ_FILE *pFile;
pZip->m_pWrite = mz_zip_file_write_func;
pZip->m_pIO_opaque = pZip;
if (!mz_zip_writer_init(pZip, size_to_reserve_at_beginning)) return MZ_FALSE;
if (NULL == (pFile = MZ_FOPEN(pFilename, "wb"))) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
pZip->m_pState->m_pFile = pFile;
if (size_to_reserve_at_beginning) {
mz_uint64 cur_ofs = 0;
char buf[4096];
MZ_CLEAR_OBJ(buf);
do {
size_t n = (size_t)MZ_MIN(sizeof(buf), size_to_reserve_at_beginning);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_ofs, buf, n) != n) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
cur_ofs += n;
size_to_reserve_at_beginning -= n;
} while (size_to_reserve_at_beginning);
}
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_init_from_reader(mz_zip_archive *pZip,
const char *pFilename) {
mz_zip_internal_state *pState;
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return MZ_FALSE;
// No sense in trying to write to an archive that's already at the support max
// size
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) > 0xFFFFFFFF))
return MZ_FALSE;
pState = pZip->m_pState;
if (pState->m_pFile) {
#ifdef MINIZ_NO_STDIO
pFilename;
return MZ_FALSE;
#else
// Archive is being read from stdio - try to reopen as writable.
if (pZip->m_pIO_opaque != pZip) return MZ_FALSE;
if (!pFilename) return MZ_FALSE;
pZip->m_pWrite = mz_zip_file_write_func;
if (NULL ==
(pState->m_pFile = MZ_FREOPEN(pFilename, "r+b", pState->m_pFile))) {
// The mz_zip_archive is now in a bogus state because pState->m_pFile is
// NULL, so just close it.
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
#endif // #ifdef MINIZ_NO_STDIO
} else if (pState->m_pMem) {
// Archive lives in a memory block. Assume it's from the heap that we can
// resize using the realloc callback.
if (pZip->m_pIO_opaque != pZip) return MZ_FALSE;
pState->m_mem_capacity = pState->m_mem_size;
pZip->m_pWrite = mz_zip_heap_write_func;
}
// Archive is being read via a user provided read function - make sure the
// user has specified a write function too.
else if (!pZip->m_pWrite)
return MZ_FALSE;
// Start writing new files at the archive's current central directory
// location.
pZip->m_archive_size = pZip->m_central_directory_file_ofs;
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING;
pZip->m_central_directory_file_ofs = 0;
return MZ_TRUE;
}
mz_bool mz_zip_writer_add_mem(mz_zip_archive *pZip, const char *pArchive_name,
const void *pBuf, size_t buf_size,
mz_uint level_and_flags) {
return mz_zip_writer_add_mem_ex(pZip, pArchive_name, pBuf, buf_size, NULL, 0,
level_and_flags, 0, 0);
}
typedef struct {
mz_zip_archive *m_pZip;
mz_uint64 m_cur_archive_file_ofs;
mz_uint64 m_comp_size;
} mz_zip_writer_add_state;
static mz_bool mz_zip_writer_add_put_buf_callback(const void *pBuf, int len,
void *pUser) {
mz_zip_writer_add_state *pState = (mz_zip_writer_add_state *)pUser;
if ((int)pState->m_pZip->m_pWrite(pState->m_pZip->m_pIO_opaque,
pState->m_cur_archive_file_ofs, pBuf,
len) != len)
return MZ_FALSE;
pState->m_cur_archive_file_ofs += len;
pState->m_comp_size += len;
return MZ_TRUE;
}
static mz_bool mz_zip_writer_create_local_dir_header(
mz_zip_archive *pZip, mz_uint8 *pDst, mz_uint16 filename_size,
mz_uint16 extra_size, mz_uint64 uncomp_size, mz_uint64 comp_size,
mz_uint32 uncomp_crc32, mz_uint16 method, mz_uint16 bit_flags,
mz_uint16 dos_time, mz_uint16 dos_date) {
(void)pZip;
memset(pDst, 0, MZ_ZIP_LOCAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_SIG_OFS, MZ_ZIP_LOCAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_VERSION_NEEDED_OFS, method ? 20 : 0);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_BIT_FLAG_OFS, bit_flags);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_METHOD_OFS, method);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILE_TIME_OFS, dos_time);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILE_DATE_OFS, dos_date);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_CRC32_OFS, uncomp_crc32);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_COMPRESSED_SIZE_OFS, comp_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_DECOMPRESSED_SIZE_OFS, uncomp_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILENAME_LEN_OFS, filename_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_EXTRA_LEN_OFS, extra_size);
return MZ_TRUE;
}
static mz_bool mz_zip_writer_create_central_dir_header(
mz_zip_archive *pZip, mz_uint8 *pDst, mz_uint16 filename_size,
mz_uint16 extra_size, mz_uint16 comment_size, mz_uint64 uncomp_size,
mz_uint64 comp_size, mz_uint32 uncomp_crc32, mz_uint16 method,
mz_uint16 bit_flags, mz_uint16 dos_time, mz_uint16 dos_date,
mz_uint64 local_header_ofs, mz_uint32 ext_attributes) {
(void)pZip;
memset(pDst, 0, MZ_ZIP_CENTRAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_SIG_OFS, MZ_ZIP_CENTRAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_VERSION_NEEDED_OFS, method ? 20 : 0);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_BIT_FLAG_OFS, bit_flags);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_METHOD_OFS, method);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILE_TIME_OFS, dos_time);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILE_DATE_OFS, dos_date);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_CRC32_OFS, uncomp_crc32);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS, comp_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS, uncomp_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILENAME_LEN_OFS, filename_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_EXTRA_LEN_OFS, extra_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_COMMENT_LEN_OFS, comment_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS, ext_attributes);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_LOCAL_HEADER_OFS, local_header_ofs);
return MZ_TRUE;
}
static mz_bool mz_zip_writer_add_to_central_dir(
mz_zip_archive *pZip, const char *pFilename, mz_uint16 filename_size,
const void *pExtra, mz_uint16 extra_size, const void *pComment,
mz_uint16 comment_size, mz_uint64 uncomp_size, mz_uint64 comp_size,
mz_uint32 uncomp_crc32, mz_uint16 method, mz_uint16 bit_flags,
mz_uint16 dos_time, mz_uint16 dos_date, mz_uint64 local_header_ofs,
mz_uint32 ext_attributes) {
mz_zip_internal_state *pState = pZip->m_pState;
mz_uint32 central_dir_ofs = (mz_uint32)pState->m_central_dir.m_size;
size_t orig_central_dir_size = pState->m_central_dir.m_size;
mz_uint8 central_dir_header[MZ_ZIP_CENTRAL_DIR_HEADER_SIZE];
// No zip64 support yet
if ((local_header_ofs > 0xFFFFFFFF) ||
(((mz_uint64)pState->m_central_dir.m_size +
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + filename_size + extra_size +
comment_size) > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_central_dir_header(
pZip, central_dir_header, filename_size, extra_size, comment_size,
uncomp_size, comp_size, uncomp_crc32, method, bit_flags, dos_time,
dos_date, local_header_ofs, ext_attributes))
return MZ_FALSE;
if ((!mz_zip_array_push_back(pZip, &pState->m_central_dir, central_dir_header,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pFilename,
filename_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pExtra,
extra_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pComment,
comment_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir_offsets,
¢ral_dir_ofs, 1))) {
// Try to push the central directory array back into its original state.
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
return MZ_TRUE;
}
static mz_bool mz_zip_writer_validate_archive_name(const char *pArchive_name) {
// Basic ZIP archive filename validity checks: Valid filenames cannot start
// with a forward slash, cannot contain a drive letter, and cannot use
// DOS-style backward slashes.
if (*pArchive_name == '/') return MZ_FALSE;
while (*pArchive_name) {
if ((*pArchive_name == '\\') || (*pArchive_name == ':')) return MZ_FALSE;
pArchive_name++;
}
return MZ_TRUE;
}
static mz_uint mz_zip_writer_compute_padding_needed_for_file_alignment(
mz_zip_archive *pZip) {
mz_uint32 n;
if (!pZip->m_file_offset_alignment) return 0;
n = (mz_uint32)(pZip->m_archive_size & (pZip->m_file_offset_alignment - 1));
return (pZip->m_file_offset_alignment - n) &
(pZip->m_file_offset_alignment - 1);
}
static mz_bool mz_zip_writer_write_zeros(mz_zip_archive *pZip,
mz_uint64 cur_file_ofs, mz_uint32 n) {
char buf[4096];
memset(buf, 0, MZ_MIN(sizeof(buf), n));
while (n) {
mz_uint32 s = MZ_MIN(sizeof(buf), n);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_file_ofs, buf, s) != s)
return MZ_FALSE;
cur_file_ofs += s;
n -= s;
}
return MZ_TRUE;
}
mz_bool mz_zip_writer_add_mem_ex(mz_zip_archive *pZip,
const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags, mz_uint64 uncomp_size,
mz_uint32 uncomp_crc32) {
mz_uint16 method = 0, dos_time = 0, dos_date = 0;
mz_uint level, ext_attributes = 0, num_alignment_padding_bytes;
mz_uint64 local_dir_header_ofs = pZip->m_archive_size,
cur_archive_file_ofs = pZip->m_archive_size, comp_size = 0;
size_t archive_name_size;
mz_uint8 local_dir_header[MZ_ZIP_LOCAL_DIR_HEADER_SIZE];
tdefl_compressor *pComp = NULL;
mz_bool store_data_uncompressed;
mz_zip_internal_state *pState;
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
level = level_and_flags & 0xF;
store_data_uncompressed =
((!level) || (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA));
if ((!pZip) || (!pZip->m_pState) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) || ((buf_size) && (!pBuf)) ||
(!pArchive_name) || ((comment_size) && (!pComment)) ||
(pZip->m_total_files == 0xFFFF) || (level > MZ_UBER_COMPRESSION))
return MZ_FALSE;
pState = pZip->m_pState;
if ((!(level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (uncomp_size))
return MZ_FALSE;
// No zip64 support yet
if ((buf_size > 0xFFFFFFFF) || (uncomp_size > 0xFFFFFFFF)) return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
#ifndef MINIZ_NO_TIME
{
time_t cur_time;
time(&cur_time);
mz_zip_time_to_dos_time(cur_time, &dos_time, &dos_date);
}
#endif // #ifndef MINIZ_NO_TIME
archive_name_size = strlen(pArchive_name);
if (archive_name_size > 0xFFFF) return MZ_FALSE;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
comment_size + archive_name_size) > 0xFFFFFFFF))
return MZ_FALSE;
if ((archive_name_size) && (pArchive_name[archive_name_size - 1] == '/')) {
// Set DOS Subdirectory attribute bit.
ext_attributes |= 0x10;
// Subdirectories cannot contain data.
if ((buf_size) || (uncomp_size)) return MZ_FALSE;
}
// Try to do any allocations before writing to the archive, so if an
// allocation fails the file remains unmodified. (A good idea if we're doing
// an in-place modification.)
if ((!mz_zip_array_ensure_room(
pZip, &pState->m_central_dir,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + archive_name_size + comment_size)) ||
(!mz_zip_array_ensure_room(pZip, &pState->m_central_dir_offsets, 1)))
return MZ_FALSE;
if ((!store_data_uncompressed) && (buf_size)) {
if (NULL == (pComp = (tdefl_compressor *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(tdefl_compressor))))
return MZ_FALSE;
}
if (!mz_zip_writer_write_zeros(
pZip, cur_archive_file_ofs,
num_alignment_padding_bytes + sizeof(local_dir_header))) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
local_dir_header_ofs += num_alignment_padding_bytes;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
cur_archive_file_ofs +=
num_alignment_padding_bytes + sizeof(local_dir_header);
MZ_CLEAR_OBJ(local_dir_header);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pArchive_name,
archive_name_size) != archive_name_size) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
cur_archive_file_ofs += archive_name_size;
if (!(level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) {
uncomp_crc32 =
(mz_uint32)mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf, buf_size);
uncomp_size = buf_size;
if (uncomp_size <= 3) {
level = 0;
store_data_uncompressed = MZ_TRUE;
}
}
if (store_data_uncompressed) {
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pBuf,
buf_size) != buf_size) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
cur_archive_file_ofs += buf_size;
comp_size = buf_size;
if (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA) method = MZ_DEFLATED;
} else if (buf_size) {
mz_zip_writer_add_state state;
state.m_pZip = pZip;
state.m_cur_archive_file_ofs = cur_archive_file_ofs;
state.m_comp_size = 0;
if ((tdefl_init(pComp, mz_zip_writer_add_put_buf_callback, &state,
tdefl_create_comp_flags_from_zip_params(
level, -15, MZ_DEFAULT_STRATEGY)) !=
TDEFL_STATUS_OKAY) ||
(tdefl_compress_buffer(pComp, pBuf, buf_size, TDEFL_FINISH) !=
TDEFL_STATUS_DONE)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
comp_size = state.m_comp_size;
cur_archive_file_ofs = state.m_cur_archive_file_ofs;
method = MZ_DEFLATED;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
pComp = NULL;
// no zip64 support yet
if ((comp_size > 0xFFFFFFFF) || (cur_archive_file_ofs > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_local_dir_header(
pZip, local_dir_header, (mz_uint16)archive_name_size, 0, uncomp_size,
comp_size, uncomp_crc32, method, 0, dos_time, dos_date))
return MZ_FALSE;
if (pZip->m_pWrite(pZip->m_pIO_opaque, local_dir_header_ofs, local_dir_header,
sizeof(local_dir_header)) != sizeof(local_dir_header))
return MZ_FALSE;
if (!mz_zip_writer_add_to_central_dir(
pZip, pArchive_name, (mz_uint16)archive_name_size, NULL, 0, pComment,
comment_size, uncomp_size, comp_size, uncomp_crc32, method, 0,
dos_time, dos_date, local_dir_header_ofs, ext_attributes))
return MZ_FALSE;
pZip->m_total_files++;
pZip->m_archive_size = cur_archive_file_ofs;
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_add_file(mz_zip_archive *pZip, const char *pArchive_name,
const char *pSrc_filename, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags) {
mz_uint uncomp_crc32 = MZ_CRC32_INIT, level, num_alignment_padding_bytes;
mz_uint16 method = 0, dos_time = 0, dos_date = 0, ext_attributes = 0;
mz_uint64 local_dir_header_ofs = pZip->m_archive_size,
cur_archive_file_ofs = pZip->m_archive_size, uncomp_size = 0,
comp_size = 0;
size_t archive_name_size;
mz_uint8 local_dir_header[MZ_ZIP_LOCAL_DIR_HEADER_SIZE];
MZ_FILE *pSrc_file = NULL;
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
level = level_and_flags & 0xF;
if ((!pZip) || (!pZip->m_pState) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) || (!pArchive_name) ||
((comment_size) && (!pComment)) || (level > MZ_UBER_COMPRESSION))
return MZ_FALSE;
if (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA) return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
archive_name_size = strlen(pArchive_name);
if (archive_name_size > 0xFFFF) return MZ_FALSE;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
comment_size + archive_name_size) > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_get_file_modified_time(pSrc_filename, &dos_time, &dos_date))
return MZ_FALSE;
pSrc_file = MZ_FOPEN(pSrc_filename, "rb");
if (!pSrc_file) return MZ_FALSE;
MZ_FSEEK64(pSrc_file, 0, SEEK_END);
uncomp_size = MZ_FTELL64(pSrc_file);
MZ_FSEEK64(pSrc_file, 0, SEEK_SET);
if (uncomp_size > 0xFFFFFFFF) {
// No zip64 support yet
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
if (uncomp_size <= 3) level = 0;
if (!mz_zip_writer_write_zeros(
pZip, cur_archive_file_ofs,
num_alignment_padding_bytes + sizeof(local_dir_header))) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
local_dir_header_ofs += num_alignment_padding_bytes;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
cur_archive_file_ofs +=
num_alignment_padding_bytes + sizeof(local_dir_header);
MZ_CLEAR_OBJ(local_dir_header);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pArchive_name,
archive_name_size) != archive_name_size) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
cur_archive_file_ofs += archive_name_size;
if (uncomp_size) {
mz_uint64 uncomp_remaining = uncomp_size;
void *pRead_buf =
pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1, MZ_ZIP_MAX_IO_BUF_SIZE);
if (!pRead_buf) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
if (!level) {
while (uncomp_remaining) {
mz_uint n =
(mz_uint)MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE, uncomp_remaining);
if ((MZ_FREAD(pRead_buf, 1, n, pSrc_file) != n) ||
(pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pRead_buf,
n) != n)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
uncomp_crc32 =
(mz_uint32)mz_crc32(uncomp_crc32, (const mz_uint8 *)pRead_buf, n);
uncomp_remaining -= n;
cur_archive_file_ofs += n;
}
comp_size = uncomp_size;
} else {
mz_bool result = MZ_FALSE;
mz_zip_writer_add_state state;
tdefl_compressor *pComp = (tdefl_compressor *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(tdefl_compressor));
if (!pComp) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
state.m_pZip = pZip;
state.m_cur_archive_file_ofs = cur_archive_file_ofs;
state.m_comp_size = 0;
if (tdefl_init(pComp, mz_zip_writer_add_put_buf_callback, &state,
tdefl_create_comp_flags_from_zip_params(
level, -15, MZ_DEFAULT_STRATEGY)) !=
TDEFL_STATUS_OKAY) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
for (;;) {
size_t in_buf_size = (mz_uint32)MZ_MIN(uncomp_remaining,
(mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
tdefl_status status;
if (MZ_FREAD(pRead_buf, 1, in_buf_size, pSrc_file) != in_buf_size)
break;
uncomp_crc32 = (mz_uint32)mz_crc32(
uncomp_crc32, (const mz_uint8 *)pRead_buf, in_buf_size);
uncomp_remaining -= in_buf_size;
status = tdefl_compress_buffer(
pComp, pRead_buf, in_buf_size,
uncomp_remaining ? TDEFL_NO_FLUSH : TDEFL_FINISH);
if (status == TDEFL_STATUS_DONE) {
result = MZ_TRUE;
break;
} else if (status != TDEFL_STATUS_OKAY)
break;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
if (!result) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
comp_size = state.m_comp_size;
cur_archive_file_ofs = state.m_cur_archive_file_ofs;
method = MZ_DEFLATED;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
}
MZ_FCLOSE(pSrc_file);
pSrc_file = NULL;
// no zip64 support yet
if ((comp_size > 0xFFFFFFFF) || (cur_archive_file_ofs > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_local_dir_header(
pZip, local_dir_header, (mz_uint16)archive_name_size, 0, uncomp_size,
comp_size, uncomp_crc32, method, 0, dos_time, dos_date))
return MZ_FALSE;
if (pZip->m_pWrite(pZip->m_pIO_opaque, local_dir_header_ofs, local_dir_header,
sizeof(local_dir_header)) != sizeof(local_dir_header))
return MZ_FALSE;
if (!mz_zip_writer_add_to_central_dir(
pZip, pArchive_name, (mz_uint16)archive_name_size, NULL, 0, pComment,
comment_size, uncomp_size, comp_size, uncomp_crc32, method, 0,
dos_time, dos_date, local_dir_header_ofs, ext_attributes))
return MZ_FALSE;
pZip->m_total_files++;
pZip->m_archive_size = cur_archive_file_ofs;
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_add_from_zip_reader(mz_zip_archive *pZip,
mz_zip_archive *pSource_zip,
mz_uint file_index) {
mz_uint n, bit_flags, num_alignment_padding_bytes;
mz_uint64 comp_bytes_remaining, local_dir_header_ofs;
mz_uint64 cur_src_file_ofs, cur_dst_file_ofs;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
mz_uint8 central_header[MZ_ZIP_CENTRAL_DIR_HEADER_SIZE];
size_t orig_central_dir_size;
mz_zip_internal_state *pState;
void *pBuf;
const mz_uint8 *pSrc_central_header;
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_WRITING))
return MZ_FALSE;
if (NULL ==
(pSrc_central_header = mz_zip_reader_get_cdh(pSource_zip, file_index)))
return MZ_FALSE;
pState = pZip->m_pState;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE) >
0xFFFFFFFF))
return MZ_FALSE;
cur_src_file_ofs =
MZ_READ_LE32(pSrc_central_header + MZ_ZIP_CDH_LOCAL_HEADER_OFS);
cur_dst_file_ofs = pZip->m_archive_size;
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs,
pLocal_header, MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_src_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE;
if (!mz_zip_writer_write_zeros(pZip, cur_dst_file_ofs,
num_alignment_padding_bytes))
return MZ_FALSE;
cur_dst_file_ofs += num_alignment_padding_bytes;
local_dir_header_ofs = cur_dst_file_ofs;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
cur_dst_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE;
n = MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
comp_bytes_remaining =
n + MZ_READ_LE32(pSrc_central_header + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
if (NULL == (pBuf = pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1,
(size_t)MZ_MAX(sizeof(mz_uint32) * 4,
MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE,
comp_bytes_remaining)))))
return MZ_FALSE;
while (comp_bytes_remaining) {
n = (mz_uint)MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE, comp_bytes_remaining);
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs, pBuf,
n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_src_file_ofs += n;
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pBuf, n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_dst_file_ofs += n;
comp_bytes_remaining -= n;
}
bit_flags = MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_BIT_FLAG_OFS);
if (bit_flags & 8) {
// Copy data descriptor
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs, pBuf,
sizeof(mz_uint32) * 4) != sizeof(mz_uint32) * 4) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
n = sizeof(mz_uint32) * ((MZ_READ_LE32(pBuf) == 0x08074b50) ? 4 : 3);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pBuf, n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_src_file_ofs += n;
cur_dst_file_ofs += n;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
// no zip64 support yet
if (cur_dst_file_ofs > 0xFFFFFFFF) return MZ_FALSE;
orig_central_dir_size = pState->m_central_dir.m_size;
memcpy(central_header, pSrc_central_header, MZ_ZIP_CENTRAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(central_header + MZ_ZIP_CDH_LOCAL_HEADER_OFS,
local_dir_header_ofs);
if (!mz_zip_array_push_back(pZip, &pState->m_central_dir, central_header,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE))
return MZ_FALSE;
n = MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_EXTRA_LEN_OFS) +
MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_COMMENT_LEN_OFS);
if (!mz_zip_array_push_back(
pZip, &pState->m_central_dir,
pSrc_central_header + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n)) {
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
if (pState->m_central_dir.m_size > 0xFFFFFFFF) return MZ_FALSE;
n = (mz_uint32)orig_central_dir_size;
if (!mz_zip_array_push_back(pZip, &pState->m_central_dir_offsets, &n, 1)) {
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
pZip->m_total_files++;
pZip->m_archive_size = cur_dst_file_ofs;
return MZ_TRUE;
}
mz_bool mz_zip_writer_finalize_archive(mz_zip_archive *pZip) {
mz_zip_internal_state *pState;
mz_uint64 central_dir_ofs, central_dir_size;
mz_uint8 hdr[MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE];
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_WRITING))
return MZ_FALSE;
pState = pZip->m_pState;
// no zip64 support yet
if ((pZip->m_total_files > 0xFFFF) ||
((pZip->m_archive_size + pState->m_central_dir.m_size +
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE) > 0xFFFFFFFF))
return MZ_FALSE;
central_dir_ofs = 0;
central_dir_size = 0;
if (pZip->m_total_files) {
// Write central directory
central_dir_ofs = pZip->m_archive_size;
central_dir_size = pState->m_central_dir.m_size;
pZip->m_central_directory_file_ofs = central_dir_ofs;
if (pZip->m_pWrite(pZip->m_pIO_opaque, central_dir_ofs,
pState->m_central_dir.m_p,
(size_t)central_dir_size) != central_dir_size)
return MZ_FALSE;
pZip->m_archive_size += central_dir_size;
}
// Write end of central directory record
MZ_CLEAR_OBJ(hdr);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_SIG_OFS,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(hdr + MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS,
pZip->m_total_files);
MZ_WRITE_LE16(hdr + MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS, pZip->m_total_files);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_CDIR_SIZE_OFS, central_dir_size);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_CDIR_OFS_OFS, central_dir_ofs);
if (pZip->m_pWrite(pZip->m_pIO_opaque, pZip->m_archive_size, hdr,
sizeof(hdr)) != sizeof(hdr))
return MZ_FALSE;
#ifndef MINIZ_NO_STDIO
if ((pState->m_pFile) && (MZ_FFLUSH(pState->m_pFile) == EOF)) return MZ_FALSE;
#endif // #ifndef MINIZ_NO_STDIO
pZip->m_archive_size += sizeof(hdr);
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED;
return MZ_TRUE;
}
mz_bool mz_zip_writer_finalize_heap_archive(mz_zip_archive *pZip, void **pBuf,
size_t *pSize) {
if ((!pZip) || (!pZip->m_pState) || (!pBuf) || (!pSize)) return MZ_FALSE;
if (pZip->m_pWrite != mz_zip_heap_write_func) return MZ_FALSE;
if (!mz_zip_writer_finalize_archive(pZip)) return MZ_FALSE;
*pBuf = pZip->m_pState->m_pMem;
*pSize = pZip->m_pState->m_mem_size;
pZip->m_pState->m_pMem = NULL;
pZip->m_pState->m_mem_size = pZip->m_pState->m_mem_capacity = 0;
return MZ_TRUE;
}
mz_bool mz_zip_writer_end(mz_zip_archive *pZip) {
mz_zip_internal_state *pState;
mz_bool status = MZ_TRUE;
if ((!pZip) || (!pZip->m_pState) || (!pZip->m_pAlloc) || (!pZip->m_pFree) ||
((pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) &&
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED)))
return MZ_FALSE;
pState = pZip->m_pState;
pZip->m_pState = NULL;
mz_zip_array_clear(pZip, &pState->m_central_dir);
mz_zip_array_clear(pZip, &pState->m_central_dir_offsets);
mz_zip_array_clear(pZip, &pState->m_sorted_central_dir_offsets);
#ifndef MINIZ_NO_STDIO
if (pState->m_pFile) {
MZ_FCLOSE(pState->m_pFile);
pState->m_pFile = NULL;
}
#endif // #ifndef MINIZ_NO_STDIO
if ((pZip->m_pWrite == mz_zip_heap_write_func) && (pState->m_pMem)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pState->m_pMem);
pState->m_pMem = NULL;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pState);
pZip->m_zip_mode = MZ_ZIP_MODE_INVALID;
return status;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_add_mem_to_archive_file_in_place(
const char *pZip_filename, const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment, mz_uint16 comment_size,
mz_uint level_and_flags) {
mz_bool status, created_new_archive = MZ_FALSE;
mz_zip_archive zip_archive;
struct MZ_FILE_STAT_STRUCT file_stat;
MZ_CLEAR_OBJ(zip_archive);
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
if ((!pZip_filename) || (!pArchive_name) || ((buf_size) && (!pBuf)) ||
((comment_size) && (!pComment)) ||
((level_and_flags & 0xF) > MZ_UBER_COMPRESSION))
return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
if (MZ_FILE_STAT(pZip_filename, &file_stat) != 0) {
// Create a new archive.
if (!mz_zip_writer_init_file(&zip_archive, pZip_filename, 0))
return MZ_FALSE;
created_new_archive = MZ_TRUE;
} else {
// Append to an existing archive.
if (!mz_zip_reader_init_file(
&zip_archive, pZip_filename,
level_and_flags | MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY))
return MZ_FALSE;
if (!mz_zip_writer_init_from_reader(&zip_archive, pZip_filename)) {
mz_zip_reader_end(&zip_archive);
return MZ_FALSE;
}
}
status =
mz_zip_writer_add_mem_ex(&zip_archive, pArchive_name, pBuf, buf_size,
pComment, comment_size, level_and_flags, 0, 0);
// Always finalize, even if adding failed for some reason, so we have a valid
// central directory. (This may not always succeed, but we can try.)
if (!mz_zip_writer_finalize_archive(&zip_archive)) status = MZ_FALSE;
if (!mz_zip_writer_end(&zip_archive)) status = MZ_FALSE;
if ((!status) && (created_new_archive)) {
// It's a new archive and something went wrong, so just delete it.
int ignoredStatus = MZ_DELETE_FILE(pZip_filename);
(void)ignoredStatus;
}
return status;
}
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename,
const char *pArchive_name,
size_t *pSize, mz_uint flags) {
int file_index;
mz_zip_archive zip_archive;
void *p = NULL;
if (pSize) *pSize = 0;
if ((!pZip_filename) || (!pArchive_name)) return NULL;
MZ_CLEAR_OBJ(zip_archive);
if (!mz_zip_reader_init_file(
&zip_archive, pZip_filename,
flags | MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY))
return NULL;
if ((file_index = mz_zip_reader_locate_file(&zip_archive, pArchive_name, NULL,
flags)) >= 0)
p = mz_zip_reader_extract_to_heap(&zip_archive, file_index, pSize, flags);
mz_zip_reader_end(&zip_archive);
return p;
}
#endif // #ifndef MINIZ_NO_STDIO
#endif // #ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
#endif // #ifndef MINIZ_NO_ARCHIVE_APIS
#ifdef __cplusplus
}
#endif
#ifdef _MSC_VER
#pragma warning(pop)
#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
} // namespace miniz
#else
// Reuse MINIZ_LITTE_ENDIAN macro
#if defined(__sparcv9)
// Big endian
#else
#if (__BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__) || MINIZ_X86_OR_X64_CPU
// Set MINIZ_LITTLE_ENDIAN to 1 if the processor is little endian.
#define MINIZ_LITTLE_ENDIAN 1
#endif
#endif
#endif // TINYEXR_USE_MINIZ
// static bool IsBigEndian(void) {
// union {
// unsigned int i;
// char c[4];
// } bint = {0x01020304};
//
// return bint.c[0] == 1;
//}
static void SetErrorMessage(const std::string &msg, const char **err) {
if (err) {
#ifdef _WIN32
(*err) = _strdup(msg.c_str());
#else
(*err) = strdup(msg.c_str());
#endif
}
}
static const int kEXRVersionSize = 8;
static void cpy2(unsigned short *dst_val, const unsigned short *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
}
static void swap2(unsigned short *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
unsigned short tmp = *val;
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[1];
dst[1] = src[0];
#endif
}
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wunused-function"
#endif
#ifdef __GNUC__
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-function"
#endif
static void cpy4(int *dst_val, const int *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
}
static void cpy4(unsigned int *dst_val, const unsigned int *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
}
static void cpy4(float *dst_val, const float *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif
#ifdef __GNUC__
#pragma GCC diagnostic pop
#endif
static void swap4(unsigned int *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
unsigned int tmp = *val;
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[3];
dst[1] = src[2];
dst[2] = src[1];
dst[3] = src[0];
#endif
}
#if 0
static void cpy8(tinyexr::tinyexr_uint64 *dst_val, const tinyexr::tinyexr_uint64 *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
dst[4] = src[4];
dst[5] = src[5];
dst[6] = src[6];
dst[7] = src[7];
}
#endif
static void swap8(tinyexr::tinyexr_uint64 *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
tinyexr::tinyexr_uint64 tmp = (*val);
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[7];
dst[1] = src[6];
dst[2] = src[5];
dst[3] = src[4];
dst[4] = src[3];
dst[5] = src[2];
dst[6] = src[1];
dst[7] = src[0];
#endif
}
// https://gist.github.com/rygorous/2156668
// Reuse MINIZ_LITTLE_ENDIAN flag from miniz.
union FP32 {
unsigned int u;
float f;
struct {
#if MINIZ_LITTLE_ENDIAN
unsigned int Mantissa : 23;
unsigned int Exponent : 8;
unsigned int Sign : 1;
#else
unsigned int Sign : 1;
unsigned int Exponent : 8;
unsigned int Mantissa : 23;
#endif
} s;
};
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wpadded"
#endif
union FP16 {
unsigned short u;
struct {
#if MINIZ_LITTLE_ENDIAN
unsigned int Mantissa : 10;
unsigned int Exponent : 5;
unsigned int Sign : 1;
#else
unsigned int Sign : 1;
unsigned int Exponent : 5;
unsigned int Mantissa : 10;
#endif
} s;
};
#ifdef __clang__
#pragma clang diagnostic pop
#endif
static FP32 half_to_float(FP16 h) {
static const FP32 magic = {113 << 23};
static const unsigned int shifted_exp = 0x7c00
<< 13; // exponent mask after shift
FP32 o;
o.u = (h.u & 0x7fffU) << 13U; // exponent/mantissa bits
unsigned int exp_ = shifted_exp & o.u; // just the exponent
o.u += (127 - 15) << 23; // exponent adjust
// handle exponent special cases
if (exp_ == shifted_exp) // Inf/NaN?
o.u += (128 - 16) << 23; // extra exp adjust
else if (exp_ == 0) // Zero/Denormal?
{
o.u += 1 << 23; // extra exp adjust
o.f -= magic.f; // renormalize
}
o.u |= (h.u & 0x8000U) << 16U; // sign bit
return o;
}
static FP16 float_to_half_full(FP32 f) {
FP16 o = {0};
// Based on ISPC reference code (with minor modifications)
if (f.s.Exponent == 0) // Signed zero/denormal (which will underflow)
o.s.Exponent = 0;
else if (f.s.Exponent == 255) // Inf or NaN (all exponent bits set)
{
o.s.Exponent = 31;
o.s.Mantissa = f.s.Mantissa ? 0x200 : 0; // NaN->qNaN and Inf->Inf
} else // Normalized number
{
// Exponent unbias the single, then bias the halfp
int newexp = f.s.Exponent - 127 + 15;
if (newexp >= 31) // Overflow, return signed infinity
o.s.Exponent = 31;
else if (newexp <= 0) // Underflow
{
if ((14 - newexp) <= 24) // Mantissa might be non-zero
{
unsigned int mant = f.s.Mantissa | 0x800000; // Hidden 1 bit
o.s.Mantissa = mant >> (14 - newexp);
if ((mant >> (13 - newexp)) & 1) // Check for rounding
o.u++; // Round, might overflow into exp bit, but this is OK
}
} else {
o.s.Exponent = static_cast<unsigned int>(newexp);
o.s.Mantissa = f.s.Mantissa >> 13;
if (f.s.Mantissa & 0x1000) // Check for rounding
o.u++; // Round, might overflow to inf, this is OK
}
}
o.s.Sign = f.s.Sign;
return o;
}
// NOTE: From OpenEXR code
// #define IMF_INCREASING_Y 0
// #define IMF_DECREASING_Y 1
// #define IMF_RAMDOM_Y 2
//
// #define IMF_NO_COMPRESSION 0
// #define IMF_RLE_COMPRESSION 1
// #define IMF_ZIPS_COMPRESSION 2
// #define IMF_ZIP_COMPRESSION 3
// #define IMF_PIZ_COMPRESSION 4
// #define IMF_PXR24_COMPRESSION 5
// #define IMF_B44_COMPRESSION 6
// #define IMF_B44A_COMPRESSION 7
#ifdef __clang__
#pragma clang diagnostic push
#if __has_warning("-Wzero-as-null-pointer-constant")
#pragma clang diagnostic ignored "-Wzero-as-null-pointer-constant"
#endif
#endif
static const char *ReadString(std::string *s, const char *ptr, size_t len) {
// Read untile NULL(\0).
const char *p = ptr;
const char *q = ptr;
while ((size_t(q - ptr) < len) && (*q) != 0) {
q++;
}
if (size_t(q - ptr) >= len) {
(*s) = std::string();
return NULL;
}
(*s) = std::string(p, q);
return q + 1; // skip '\0'
}
static bool ReadAttribute(std::string *name, std::string *type,
std::vector<unsigned char> *data, size_t *marker_size,
const char *marker, size_t size) {
size_t name_len = strnlen(marker, size);
if (name_len == size) {
// String does not have a terminating character.
return false;
}
*name = std::string(marker, name_len);
marker += name_len + 1;
size -= name_len + 1;
size_t type_len = strnlen(marker, size);
if (type_len == size) {
return false;
}
*type = std::string(marker, type_len);
marker += type_len + 1;
size -= type_len + 1;
if (size < sizeof(uint32_t)) {
return false;
}
uint32_t data_len;
memcpy(&data_len, marker, sizeof(uint32_t));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
if (data_len == 0) {
if ((*type).compare("string") == 0) {
// Accept empty string attribute.
marker += sizeof(uint32_t);
size -= sizeof(uint32_t);
*marker_size = name_len + 1 + type_len + 1 + sizeof(uint32_t);
data->resize(1);
(*data)[0] = '\0';
return true;
} else {
return false;
}
}
marker += sizeof(uint32_t);
size -= sizeof(uint32_t);
if (size < data_len) {
return false;
}
data->resize(static_cast<size_t>(data_len));
memcpy(&data->at(0), marker, static_cast<size_t>(data_len));
*marker_size = name_len + 1 + type_len + 1 + sizeof(uint32_t) + data_len;
return true;
}
static void WriteAttributeToMemory(std::vector<unsigned char> *out,
const char *name, const char *type,
const unsigned char *data, int len) {
out->insert(out->end(), name, name + strlen(name) + 1);
out->insert(out->end(), type, type + strlen(type) + 1);
int outLen = len;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&outLen));
out->insert(out->end(), reinterpret_cast<unsigned char *>(&outLen),
reinterpret_cast<unsigned char *>(&outLen) + sizeof(int));
out->insert(out->end(), data, data + len);
}
typedef struct {
std::string name; // less than 255 bytes long
int pixel_type;
int x_sampling;
int y_sampling;
unsigned char p_linear;
unsigned char pad[3];
} ChannelInfo;
struct HeaderInfo {
std::vector<tinyexr::ChannelInfo> channels;
std::vector<EXRAttribute> attributes;
int data_window[4];
int line_order;
int display_window[4];
float screen_window_center[2];
float screen_window_width;
float pixel_aspect_ratio;
int chunk_count;
// Tiled format
int tile_size_x;
int tile_size_y;
int tile_level_mode;
int tile_rounding_mode;
unsigned int header_len;
int compression_type;
void clear() {
channels.clear();
attributes.clear();
data_window[0] = 0;
data_window[1] = 0;
data_window[2] = 0;
data_window[3] = 0;
line_order = 0;
display_window[0] = 0;
display_window[1] = 0;
display_window[2] = 0;
display_window[3] = 0;
screen_window_center[0] = 0.0f;
screen_window_center[1] = 0.0f;
screen_window_width = 0.0f;
pixel_aspect_ratio = 0.0f;
chunk_count = 0;
// Tiled format
tile_size_x = 0;
tile_size_y = 0;
tile_level_mode = 0;
tile_rounding_mode = 0;
header_len = 0;
compression_type = 0;
}
};
static bool ReadChannelInfo(std::vector<ChannelInfo> &channels,
const std::vector<unsigned char> &data) {
const char *p = reinterpret_cast<const char *>(&data.at(0));
for (;;) {
if ((*p) == 0) {
break;
}
ChannelInfo info;
tinyexr_int64 data_len = static_cast<tinyexr_int64>(data.size()) -
(p - reinterpret_cast<const char *>(data.data()));
if (data_len < 0) {
return false;
}
p = ReadString(&info.name, p, size_t(data_len));
if ((p == NULL) && (info.name.empty())) {
// Buffer overrun. Issue #51.
return false;
}
const unsigned char *data_end =
reinterpret_cast<const unsigned char *>(p) + 16;
if (data_end >= (data.data() + data.size())) {
return false;
}
memcpy(&info.pixel_type, p, sizeof(int));
p += 4;
info.p_linear = static_cast<unsigned char>(p[0]); // uchar
p += 1 + 3; // reserved: uchar[3]
memcpy(&info.x_sampling, p, sizeof(int)); // int
p += 4;
memcpy(&info.y_sampling, p, sizeof(int)); // int
p += 4;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.pixel_type));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.x_sampling));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.y_sampling));
channels.push_back(info);
}
return true;
}
static void WriteChannelInfo(std::vector<unsigned char> &data,
const std::vector<ChannelInfo> &channels) {
size_t sz = 0;
// Calculate total size.
for (size_t c = 0; c < channels.size(); c++) {
sz += strlen(channels[c].name.c_str()) + 1; // +1 for \0
sz += 16; // 4 * int
}
data.resize(sz + 1);
unsigned char *p = &data.at(0);
for (size_t c = 0; c < channels.size(); c++) {
memcpy(p, channels[c].name.c_str(), strlen(channels[c].name.c_str()));
p += strlen(channels[c].name.c_str());
(*p) = '\0';
p++;
int pixel_type = channels[c].pixel_type;
int x_sampling = channels[c].x_sampling;
int y_sampling = channels[c].y_sampling;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&pixel_type));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&x_sampling));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y_sampling));
memcpy(p, &pixel_type, sizeof(int));
p += sizeof(int);
(*p) = channels[c].p_linear;
p += 4;
memcpy(p, &x_sampling, sizeof(int));
p += sizeof(int);
memcpy(p, &y_sampling, sizeof(int));
p += sizeof(int);
}
(*p) = '\0';
}
static void CompressZip(unsigned char *dst,
tinyexr::tinyexr_uint64 &compressedSize,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(src_size);
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
//
// Reorder the pixel data.
//
const char *srcPtr = reinterpret_cast<const char *>(src);
{
char *t1 = reinterpret_cast<char *>(&tmpBuf.at(0));
char *t2 = reinterpret_cast<char *>(&tmpBuf.at(0)) + (src_size + 1) / 2;
const char *stop = srcPtr + src_size;
for (;;) {
if (srcPtr < stop)
*(t1++) = *(srcPtr++);
else
break;
if (srcPtr < stop)
*(t2++) = *(srcPtr++);
else
break;
}
}
//
// Predictor.
//
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + src_size;
int p = t[-1];
while (t < stop) {
int d = int(t[0]) - p + (128 + 256);
p = t[0];
t[0] = static_cast<unsigned char>(d);
++t;
}
}
#if TINYEXR_USE_MINIZ
//
// Compress the data using miniz
//
miniz::mz_ulong outSize = miniz::mz_compressBound(src_size);
int ret = miniz::mz_compress(
dst, &outSize, static_cast<const unsigned char *>(&tmpBuf.at(0)),
src_size);
assert(ret == miniz::MZ_OK);
(void)ret;
compressedSize = outSize;
#else
uLong outSize = compressBound(static_cast<uLong>(src_size));
int ret = compress(dst, &outSize, static_cast<const Bytef *>(&tmpBuf.at(0)),
src_size);
assert(ret == Z_OK);
compressedSize = outSize;
#endif
// Use uncompressed data when compressed data is larger than uncompressed.
// (Issue 40)
if (compressedSize >= src_size) {
compressedSize = src_size;
memcpy(dst, src, src_size);
}
}
static bool DecompressZip(unsigned char *dst,
unsigned long *uncompressed_size /* inout */,
const unsigned char *src, unsigned long src_size) {
if ((*uncompressed_size) == src_size) {
// Data is not compressed(Issue 40).
memcpy(dst, src, src_size);
return true;
}
std::vector<unsigned char> tmpBuf(*uncompressed_size);
#if TINYEXR_USE_MINIZ
int ret =
miniz::mz_uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
if (miniz::MZ_OK != ret) {
return false;
}
#else
int ret = uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
if (Z_OK != ret) {
return false;
}
#endif
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
// Predictor.
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + (*uncompressed_size);
while (t < stop) {
int d = int(t[-1]) + int(t[0]) - 128;
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// Reorder the pixel data.
{
const char *t1 = reinterpret_cast<const char *>(&tmpBuf.at(0));
const char *t2 = reinterpret_cast<const char *>(&tmpBuf.at(0)) +
(*uncompressed_size + 1) / 2;
char *s = reinterpret_cast<char *>(dst);
char *stop = s + (*uncompressed_size);
for (;;) {
if (s < stop)
*(s++) = *(t1++);
else
break;
if (s < stop)
*(s++) = *(t2++);
else
break;
}
}
return true;
}
// RLE code from OpenEXR --------------------------------------
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wsign-conversion"
#if __has_warning("-Wextra-semi-stmt")
#pragma clang diagnostic ignored "-Wextra-semi-stmt"
#endif
#endif
#ifdef _MSC_VER
#pragma warning(push)
#pragma warning(disable : 4204) // nonstandard extension used : non-constant
// aggregate initializer (also supported by GNU
// C and C99, so no big deal)
#pragma warning(disable : 4244) // 'initializing': conversion from '__int64' to
// 'int', possible loss of data
#pragma warning(disable : 4267) // 'argument': conversion from '__int64' to
// 'int', possible loss of data
#pragma warning(disable : 4996) // 'strdup': The POSIX name for this item is
// deprecated. Instead, use the ISO C and C++
// conformant name: _strdup.
#endif
const int MIN_RUN_LENGTH = 3;
const int MAX_RUN_LENGTH = 127;
//
// Compress an array of bytes, using run-length encoding,
// and return the length of the compressed data.
//
static int rleCompress(int inLength, const char in[], signed char out[]) {
const char *inEnd = in + inLength;
const char *runStart = in;
const char *runEnd = in + 1;
signed char *outWrite = out;
while (runStart < inEnd) {
while (runEnd < inEnd && *runStart == *runEnd &&
runEnd - runStart - 1 < MAX_RUN_LENGTH) {
++runEnd;
}
if (runEnd - runStart >= MIN_RUN_LENGTH) {
//
// Compressible run
//
*outWrite++ = static_cast<char>(runEnd - runStart) - 1;
*outWrite++ = *(reinterpret_cast<const signed char *>(runStart));
runStart = runEnd;
} else {
//
// Uncompressable run
//
while (runEnd < inEnd &&
((runEnd + 1 >= inEnd || *runEnd != *(runEnd + 1)) ||
(runEnd + 2 >= inEnd || *(runEnd + 1) != *(runEnd + 2))) &&
runEnd - runStart < MAX_RUN_LENGTH) {
++runEnd;
}
*outWrite++ = static_cast<char>(runStart - runEnd);
while (runStart < runEnd) {
*outWrite++ = *(reinterpret_cast<const signed char *>(runStart++));
}
}
++runEnd;
}
return static_cast<int>(outWrite - out);
}
//
// Uncompress an array of bytes compressed with rleCompress().
// Returns the length of the oncompressed data, or 0 if the
// length of the uncompressed data would be more than maxLength.
//
static int rleUncompress(int inLength, int maxLength, const signed char in[],
char out[]) {
char *outStart = out;
while (inLength > 0) {
if (*in < 0) {
int count = -(static_cast<int>(*in++));
inLength -= count + 1;
// Fixes #116: Add bounds check to in buffer.
if ((0 > (maxLength -= count)) || (inLength < 0)) return 0;
memcpy(out, in, count);
out += count;
in += count;
} else {
int count = *in++;
inLength -= 2;
if (0 > (maxLength -= count + 1)) return 0;
memset(out, *reinterpret_cast<const char *>(in), count + 1);
out += count + 1;
in++;
}
}
return static_cast<int>(out - outStart);
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif
// End of RLE code from OpenEXR -----------------------------------
static void CompressRle(unsigned char *dst,
tinyexr::tinyexr_uint64 &compressedSize,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(src_size);
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfRleCompressor.cpp
//
//
// Reorder the pixel data.
//
const char *srcPtr = reinterpret_cast<const char *>(src);
{
char *t1 = reinterpret_cast<char *>(&tmpBuf.at(0));
char *t2 = reinterpret_cast<char *>(&tmpBuf.at(0)) + (src_size + 1) / 2;
const char *stop = srcPtr + src_size;
for (;;) {
if (srcPtr < stop)
*(t1++) = *(srcPtr++);
else
break;
if (srcPtr < stop)
*(t2++) = *(srcPtr++);
else
break;
}
}
//
// Predictor.
//
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + src_size;
int p = t[-1];
while (t < stop) {
int d = int(t[0]) - p + (128 + 256);
p = t[0];
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// outSize will be (srcSiz * 3) / 2 at max.
int outSize = rleCompress(static_cast<int>(src_size),
reinterpret_cast<const char *>(&tmpBuf.at(0)),
reinterpret_cast<signed char *>(dst));
assert(outSize > 0);
compressedSize = static_cast<tinyexr::tinyexr_uint64>(outSize);
// Use uncompressed data when compressed data is larger than uncompressed.
// (Issue 40)
if (compressedSize >= src_size) {
compressedSize = src_size;
memcpy(dst, src, src_size);
}
}
static bool DecompressRle(unsigned char *dst,
const unsigned long uncompressed_size,
const unsigned char *src, unsigned long src_size) {
if (uncompressed_size == src_size) {
// Data is not compressed(Issue 40).
memcpy(dst, src, src_size);
return true;
}
// Workaround for issue #112.
// TODO(syoyo): Add more robust out-of-bounds check in `rleUncompress`.
if (src_size <= 2) {
return false;
}
std::vector<unsigned char> tmpBuf(uncompressed_size);
int ret = rleUncompress(static_cast<int>(src_size),
static_cast<int>(uncompressed_size),
reinterpret_cast<const signed char *>(src),
reinterpret_cast<char *>(&tmpBuf.at(0)));
if (ret != static_cast<int>(uncompressed_size)) {
return false;
}
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfRleCompressor.cpp
//
// Predictor.
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + uncompressed_size;
while (t < stop) {
int d = int(t[-1]) + int(t[0]) - 128;
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// Reorder the pixel data.
{
const char *t1 = reinterpret_cast<const char *>(&tmpBuf.at(0));
const char *t2 = reinterpret_cast<const char *>(&tmpBuf.at(0)) +
(uncompressed_size + 1) / 2;
char *s = reinterpret_cast<char *>(dst);
char *stop = s + uncompressed_size;
for (;;) {
if (s < stop)
*(s++) = *(t1++);
else
break;
if (s < stop)
*(s++) = *(t2++);
else
break;
}
}
return true;
}
#if TINYEXR_USE_PIZ
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#pragma clang diagnostic ignored "-Wold-style-cast"
#pragma clang diagnostic ignored "-Wpadded"
#pragma clang diagnostic ignored "-Wsign-conversion"
#pragma clang diagnostic ignored "-Wc++11-extensions"
#pragma clang diagnostic ignored "-Wconversion"
#pragma clang diagnostic ignored "-Wc++98-compat-pedantic"
#if __has_warning("-Wcast-qual")
#pragma clang diagnostic ignored "-Wcast-qual"
#endif
#if __has_warning("-Wextra-semi-stmt")
#pragma clang diagnostic ignored "-Wextra-semi-stmt"
#endif
#endif
//
// PIZ compress/uncompress, based on OpenEXR's ImfPizCompressor.cpp
//
// -----------------------------------------------------------------
// Copyright (c) 2004, Industrial Light & Magic, a division of Lucas
// Digital Ltd. LLC)
// (3 clause BSD license)
//
struct PIZChannelData {
unsigned short *start;
unsigned short *end;
int nx;
int ny;
int ys;
int size;
};
//-----------------------------------------------------------------------------
//
// 16-bit Haar Wavelet encoding and decoding
//
// The source code in this file is derived from the encoding
// and decoding routines written by Christian Rouet for his
// PIZ image file format.
//
//-----------------------------------------------------------------------------
//
// Wavelet basis functions without modulo arithmetic; they produce
// the best compression ratios when the wavelet-transformed data are
// Huffman-encoded, but the wavelet transform works only for 14-bit
// data (untransformed data values must be less than (1 << 14)).
//
inline void wenc14(unsigned short a, unsigned short b, unsigned short &l,
unsigned short &h) {
short as = static_cast<short>(a);
short bs = static_cast<short>(b);
short ms = (as + bs) >> 1;
short ds = as - bs;
l = static_cast<unsigned short>(ms);
h = static_cast<unsigned short>(ds);
}
inline void wdec14(unsigned short l, unsigned short h, unsigned short &a,
unsigned short &b) {
short ls = static_cast<short>(l);
short hs = static_cast<short>(h);
int hi = hs;
int ai = ls + (hi & 1) + (hi >> 1);
short as = static_cast<short>(ai);
short bs = static_cast<short>(ai - hi);
a = static_cast<unsigned short>(as);
b = static_cast<unsigned short>(bs);
}
//
// Wavelet basis functions with modulo arithmetic; they work with full
// 16-bit data, but Huffman-encoding the wavelet-transformed data doesn't
// compress the data quite as well.
//
const int NBITS = 16;
const int A_OFFSET = 1 << (NBITS - 1);
const int M_OFFSET = 1 << (NBITS - 1);
const int MOD_MASK = (1 << NBITS) - 1;
inline void wenc16(unsigned short a, unsigned short b, unsigned short &l,
unsigned short &h) {
int ao = (a + A_OFFSET) & MOD_MASK;
int m = ((ao + b) >> 1);
int d = ao - b;
if (d < 0) m = (m + M_OFFSET) & MOD_MASK;
d &= MOD_MASK;
l = static_cast<unsigned short>(m);
h = static_cast<unsigned short>(d);
}
inline void wdec16(unsigned short l, unsigned short h, unsigned short &a,
unsigned short &b) {
int m = l;
int d = h;
int bb = (m - (d >> 1)) & MOD_MASK;
int aa = (d + bb - A_OFFSET) & MOD_MASK;
b = static_cast<unsigned short>(bb);
a = static_cast<unsigned short>(aa);
}
//
// 2D Wavelet encoding:
//
static void wav2Encode(
unsigned short *in, // io: values are transformed in place
int nx, // i : x size
int ox, // i : x offset
int ny, // i : y size
int oy, // i : y offset
unsigned short mx) // i : maximum in[x][y] value
{
bool w14 = (mx < (1 << 14));
int n = (nx > ny) ? ny : nx;
int p = 1; // == 1 << level
int p2 = 2; // == 1 << (level+1)
//
// Hierarchical 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
//-------------------------------
unsigned int len : 8; // code length 0
unsigned int lit : 24; // lit p size
unsigned int *p; // 0 lits
};
inline long long hufLength(long long code) { return code & 63; }
inline long long hufCode(long long code) { return code >> 6; }
inline void outputBits(int nBits, long long bits, long long &c, int &lc,
char *&out) {
c <<= nBits;
lc += nBits;
c |= bits;
while (lc >= 8) *out++ = static_cast<char>((c >> (lc -= 8)));
}
inline long long getBits(int nBits, long long &c, int &lc, const char *&in) {
while (lc < nBits) {
c = (c << 8) | *(reinterpret_cast<const unsigned char *>(in++));
lc += 8;
}
lc -= nBits;
return (c >> lc) & ((1 << nBits) - 1);
}
//
// ENCODING TABLE BUILDING & (UN)PACKING
//
//
// Build a "canonical" Huffman code table:
// - for each (uncompressed) symbol, hcode contains the length
// of the corresponding code (in the compressed data)
// - canonical codes are computed and stored in hcode
// - the rules for constructing canonical codes are as follows:
// * shorter codes (if filled with zeroes to the right)
// have a numerically higher value than longer codes
// * for codes with the same length, numerical values
// increase with numerical symbol values
// - because the canonical code table can be constructed from
// symbol lengths alone, the code table can be transmitted
// without sending the actual code values
// - see http://www.compressconsult.com/huffman/
//
static void hufCanonicalCodeTable(long long hcode[HUF_ENCSIZE]) {
long long n[59];
//
// For each i from 0 through 58, count the
// number of different codes of length i, and
// store the count in n[i].
//
for (int i = 0; i <= 58; ++i) n[i] = 0;
for (int i = 0; i < HUF_ENCSIZE; ++i) n[hcode[i]] += 1;
//
// For each i from 58 through 1, compute the
// numerically lowest code with length i, and
// store that code in n[i].
//
long long c = 0;
for (int i = 58; i > 0; --i) {
long long nc = ((c + n[i]) >> 1);
n[i] = c;
c = nc;
}
//
// hcode[i] contains the length, l, of the
// code for symbol i. Assign the next available
// code of length l to the symbol and store both
// l and the code in hcode[i].
//
for (int i = 0; i < HUF_ENCSIZE; ++i) {
int l = static_cast<int>(hcode[i]);
if (l > 0) hcode[i] = l | (n[l]++ << 6);
}
}
//
// Compute Huffman codes (based on frq input) and store them in frq:
// - code structure is : [63:lsb - 6:msb] | [5-0: bit length];
// - max code length is 58 bits;
// - codes outside the range [im-iM] have a null length (unused values);
// - original frequencies are destroyed;
// - encoding tables are used by hufEncode() and hufBuildDecTable();
//
struct FHeapCompare {
bool operator()(long long *a, long long *b) { return *a > *b; }
};
static void hufBuildEncTable(
long long *frq, // io: input frequencies [HUF_ENCSIZE], output table
int *im, // o: min frq index
int *iM) // o: max frq index
{
//
// This function assumes that when it is called, array frq
// indicates the frequency of all possible symbols in the data
// that are to be Huffman-encoded. (frq[i] contains the number
// of occurrences of symbol i in the data.)
//
// The loop below does three things:
//
// 1) Finds the minimum and maximum indices that point
// to non-zero entries in frq:
//
// frq[im] != 0, and frq[i] == 0 for all i < im
// frq[iM] != 0, and frq[i] == 0 for all i > iM
//
// 2) Fills array fHeap with pointers to all non-zero
// entries in frq.
//
// 3) Initializes array hlink such that hlink[i] == i
// for all array entries.
//
std::vector<int> hlink(HUF_ENCSIZE);
std::vector<long long *> fHeap(HUF_ENCSIZE);
*im = 0;
while (!frq[*im]) (*im)++;
int nf = 0;
for (int i = *im; i < HUF_ENCSIZE; i++) {
hlink[i] = i;
if (frq[i]) {
fHeap[nf] = &frq[i];
nf++;
*iM = i;
}
}
//
// Add a pseudo-symbol, with a frequency count of 1, to frq;
// adjust the fHeap and hlink array accordingly. Function
// hufEncode() uses the pseudo-symbol for run-length encoding.
//
(*iM)++;
frq[*iM] = 1;
fHeap[nf] = &frq[*iM];
nf++;
//
// Build an array, scode, such that scode[i] contains the number
// of bits assigned to symbol i. Conceptually this is done by
// constructing a tree whose leaves are the symbols with non-zero
// frequency:
//
// Make a heap that contains all symbols with a non-zero frequency,
// with the least frequent symbol on top.
//
// Repeat until only one symbol is left on the heap:
//
// Take the two least frequent symbols off the top of the heap.
// Create a new node that has first two nodes as children, and
// whose frequency is the sum of the frequencies of the first
// two nodes. Put the new node back into the heap.
//
// The last node left on the heap is the root of the tree. For each
// leaf node, the distance between the root and the leaf is the length
// of the code for the corresponding symbol.
//
// The loop below doesn't actually build the tree; instead we compute
// the distances of the leaves from the root on the fly. When a new
// node is added to the heap, then that node's descendants are linked
// into a single linear list that starts at the new node, and the code
// lengths of the descendants (that is, their distance from the root
// of the tree) are incremented by one.
//
std::make_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
std::vector<long long> scode(HUF_ENCSIZE);
memset(scode.data(), 0, sizeof(long long) * HUF_ENCSIZE);
while (nf > 1) {
//
// Find the indices, mm and m, of the two smallest non-zero frq
// values in fHeap, add the smallest frq to the second-smallest
// frq, and remove the smallest frq value from fHeap.
//
int mm = fHeap[0] - frq;
std::pop_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
--nf;
int m = fHeap[0] - frq;
std::pop_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
frq[m] += frq[mm];
std::push_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
//
// The entries in scode are linked into lists with the
// entries in hlink serving as "next" pointers and with
// the end of a list marked by hlink[j] == j.
//
// Traverse the lists that start at scode[m] and scode[mm].
// For each element visited, increment the length of the
// corresponding code by one bit. (If we visit scode[j]
// during the traversal, then the code for symbol j becomes
// one bit longer.)
//
// Merge the lists that start at scode[m] and scode[mm]
// into a single list that starts at scode[m].
//
//
// Add a bit to all codes in the first list.
//
for (int j = m;; j = hlink[j]) {
scode[j]++;
assert(scode[j] <= 58);
if (hlink[j] == j) {
//
// Merge the two lists.
//
hlink[j] = mm;
break;
}
}
//
// Add a bit to all codes in the second list
//
for (int j = mm;; j = hlink[j]) {
scode[j]++;
assert(scode[j] <= 58);
if (hlink[j] == j) break;
}
}
//
// Build a canonical Huffman code table, replacing the code
// lengths in scode with (code, code length) pairs. Copy the
// code table from scode into frq.
//
hufCanonicalCodeTable(scode.data());
memcpy(frq, scode.data(), sizeof(long long) * HUF_ENCSIZE);
}
//
// Pack an encoding table:
// - only code lengths, not actual codes, are stored
// - runs of zeroes are compressed as follows:
//
// unpacked packed
// --------------------------------
// 1 zero 0 (6 bits)
// 2 zeroes 59
// 3 zeroes 60
// 4 zeroes 61
// 5 zeroes 62
// n zeroes (6 or more) 63 n-6 (6 + 8 bits)
//
const int SHORT_ZEROCODE_RUN = 59;
const int LONG_ZEROCODE_RUN = 63;
const int SHORTEST_LONG_RUN = 2 + LONG_ZEROCODE_RUN - SHORT_ZEROCODE_RUN;
const int LONGEST_LONG_RUN = 255 + SHORTEST_LONG_RUN;
static void hufPackEncTable(
const long long *hcode, // i : encoding table [HUF_ENCSIZE]
int im, // i : min hcode index
int iM, // i : max hcode index
char **pcode) // o: ptr to packed table (updated)
{
char *p = *pcode;
long long c = 0;
int lc = 0;
for (; im <= iM; im++) {
int l = hufLength(hcode[im]);
if (l == 0) {
int zerun = 1;
while ((im < iM) && (zerun < LONGEST_LONG_RUN)) {
if (hufLength(hcode[im + 1]) > 0) break;
im++;
zerun++;
}
if (zerun >= 2) {
if (zerun >= SHORTEST_LONG_RUN) {
outputBits(6, LONG_ZEROCODE_RUN, c, lc, p);
outputBits(8, zerun - SHORTEST_LONG_RUN, c, lc, p);
} else {
outputBits(6, SHORT_ZEROCODE_RUN + zerun - 2, c, lc, p);
}
continue;
}
}
outputBits(6, l, c, lc, p);
}
if (lc > 0) *p++ = (unsigned char)(c << (8 - lc));
*pcode = p;
}
//
// Unpack an encoding table packed by hufPackEncTable():
//
static bool hufUnpackEncTable(
const char **pcode, // io: ptr to packed table (updated)
int ni, // i : input size (in bytes)
int im, // i : min hcode index
int iM, // i : max hcode index
long long *hcode) // o: encoding table [HUF_ENCSIZE]
{
memset(hcode, 0, sizeof(long long) * HUF_ENCSIZE);
const char *p = *pcode;
long long c = 0;
int lc = 0;
for (; im <= iM; im++) {
if (p - *pcode >= ni) {
return false;
}
long long l = hcode[im] = getBits(6, c, lc, p); // code length
if (l == (long long)LONG_ZEROCODE_RUN) {
if (p - *pcode > ni) {
return false;
}
int zerun = getBits(8, c, lc, p) + SHORTEST_LONG_RUN;
if (im + zerun > iM + 1) {
return false;
}
while (zerun--) hcode[im++] = 0;
im--;
} else if (l >= (long long)SHORT_ZEROCODE_RUN) {
int zerun = l - SHORT_ZEROCODE_RUN + 2;
if (im + zerun > iM + 1) {
return false;
}
while (zerun--) hcode[im++] = 0;
im--;
}
}
*pcode = const_cast<char *>(p);
hufCanonicalCodeTable(hcode);
return true;
}
//
// DECODING TABLE BUILDING
//
//
// Clear a newly allocated decoding table so that it contains only zeroes.
//
static void hufClearDecTable(HufDec *hdecod) // io: (allocated by caller)
// decoding table [HUF_DECSIZE]
{
for (int i = 0; i < HUF_DECSIZE; i++) {
hdecod[i].len = 0;
hdecod[i].lit = 0;
hdecod[i].p = NULL;
}
// memset(hdecod, 0, sizeof(HufDec) * HUF_DECSIZE);
}
//
// Build a decoding hash table based on the encoding table hcode:
// - short codes (<= HUF_DECBITS) are resolved with a single table access;
// - long code entry allocations are not optimized, because long codes are
// unfrequent;
// - decoding tables are used by hufDecode();
//
static bool hufBuildDecTable(const long long *hcode, // i : encoding table
int im, // i : min index in hcode
int iM, // i : max index in hcode
HufDec *hdecod) // o: (allocated by caller)
// decoding table [HUF_DECSIZE]
{
//
// Init hashtable & loop on all codes.
// Assumes that hufClearDecTable(hdecod) has already been called.
//
for (; im <= iM; im++) {
long long c = hufCode(hcode[im]);
int l = hufLength(hcode[im]);
if (c >> l) {
//
// Error: c is supposed to be an l-bit code,
// but c contains a value that is greater
// than the largest l-bit number.
//
// invalidTableEntry();
return false;
}
if (l > HUF_DECBITS) {
//
// Long code: add a secondary entry
//
HufDec *pl = hdecod + (c >> (l - HUF_DECBITS));
if (pl->len) {
//
// Error: a short code has already
// been stored in table entry *pl.
//
// invalidTableEntry();
return false;
}
pl->lit++;
if (pl->p) {
unsigned int *p = pl->p;
pl->p = new unsigned int[pl->lit];
for (int i = 0; i < pl->lit - 1; ++i) pl->p[i] = p[i];
delete[] p;
} else {
pl->p = new unsigned int[1];
}
pl->p[pl->lit - 1] = im;
} else if (l) {
//
// Short code: init all primary entries
//
HufDec *pl = hdecod + (c << (HUF_DECBITS - l));
for (long long i = 1ULL << (HUF_DECBITS - l); i > 0; i--, pl++) {
if (pl->len || pl->p) {
//
// Error: a short code or a long code has
// already been stored in table entry *pl.
//
// invalidTableEntry();
return false;
}
pl->len = l;
pl->lit = im;
}
}
}
return true;
}
//
// Free the long code entries of a decoding table built by hufBuildDecTable()
//
static void hufFreeDecTable(HufDec *hdecod) // io: Decoding table
{
for (int i = 0; i < HUF_DECSIZE; i++) {
if (hdecod[i].p) {
delete[] hdecod[i].p;
hdecod[i].p = 0;
}
}
}
//
// ENCODING
//
inline void outputCode(long long code, long long &c, int &lc, char *&out) {
outputBits(hufLength(code), hufCode(code), c, lc, out);
}
inline void sendCode(long long sCode, int runCount, long long runCode,
long long &c, int &lc, char *&out) {
//
// Output a run of runCount instances of the symbol sCount.
// Output the symbols explicitly, or if that is shorter, output
// the sCode symbol once followed by a runCode symbol and runCount
// expressed as an 8-bit number.
//
if (hufLength(sCode) + hufLength(runCode) + 8 < hufLength(sCode) * runCount) {
outputCode(sCode, c, lc, out);
outputCode(runCode, c, lc, out);
outputBits(8, runCount, c, lc, out);
} else {
while (runCount-- >= 0) outputCode(sCode, c, lc, out);
}
}
//
// Encode (compress) ni values based on the Huffman encoding table hcode:
//
static int hufEncode // return: output size (in bits)
(const long long *hcode, // i : encoding table
const unsigned short *in, // i : uncompressed input buffer
const int ni, // i : input buffer size (in bytes)
int rlc, // i : rl code
char *out) // o: compressed output buffer
{
char *outStart = out;
long long c = 0; // bits not yet written to out
int lc = 0; // number of valid bits in c (LSB)
int s = in[0];
int cs = 0;
//
// Loop on input values
//
for (int i = 1; i < ni; i++) {
//
// Count same values or send code
//
if (s == in[i] && cs < 255) {
cs++;
} else {
sendCode(hcode[s], cs, hcode[rlc], c, lc, out);
cs = 0;
}
s = in[i];
}
//
// Send remaining code
//
sendCode(hcode[s], cs, hcode[rlc], c, lc, out);
if (lc) *out = (c << (8 - lc)) & 0xff;
return (out - outStart) * 8 + lc;
}
//
// DECODING
//
//
// In order to force the compiler to inline them,
// getChar() and getCode() are implemented as macros
// instead of "inline" functions.
//
#define getChar(c, lc, in) \
{ \
c = (c << 8) | *(unsigned char *)(in++); \
lc += 8; \
}
#if 0
#define getCode(po, rlc, c, lc, in, out, ob, oe) \
{ \
if (po == rlc) { \
if (lc < 8) getChar(c, lc, in); \
\
lc -= 8; \
\
unsigned char cs = (c >> lc); \
\
if (out + cs > oe) return false; \
\
/* TinyEXR issue 78 */ \
unsigned short s = out[-1]; \
\
while (cs-- > 0) *out++ = s; \
} else if (out < oe) { \
*out++ = po; \
} else { \
return false; \
} \
}
#else
static bool getCode(int po, int rlc, long long &c, int &lc, const char *&in,
const char *in_end, unsigned short *&out,
const unsigned short *ob, const unsigned short *oe) {
(void)ob;
if (po == rlc) {
if (lc < 8) {
/* TinyEXR issue 78 */
if ((in + 1) >= in_end) {
return false;
}
getChar(c, lc, in);
}
lc -= 8;
unsigned char cs = (c >> lc);
if (out + cs > oe) return false;
// Bounds check for safety
// Issue 100.
if ((out - 1) < ob) return false;
unsigned short s = out[-1];
while (cs-- > 0) *out++ = s;
} else if (out < oe) {
*out++ = po;
} else {
return false;
}
return true;
}
#endif
//
// Decode (uncompress) ni bits based on encoding & decoding tables:
//
static bool hufDecode(const long long *hcode, // i : encoding table
const HufDec *hdecod, // i : decoding table
const char *in, // i : compressed input buffer
int ni, // i : input size (in bits)
int rlc, // i : run-length code
int no, // i : expected output size (in bytes)
unsigned short *out) // o: uncompressed output buffer
{
long long c = 0;
int lc = 0;
unsigned short *outb = out; // begin
unsigned short *oe = out + no; // end
const char *ie = in + (ni + 7) / 8; // input byte size
//
// Loop on input bytes
//
while (in < ie) {
getChar(c, lc, in);
//
// Access decoding table
//
while (lc >= HUF_DECBITS) {
const HufDec pl = hdecod[(c >> (lc - HUF_DECBITS)) & HUF_DECMASK];
if (pl.len) {
//
// Get short code
//
lc -= pl.len;
// std::cout << "lit = " << pl.lit << std::endl;
// std::cout << "rlc = " << rlc << std::endl;
// std::cout << "c = " << c << std::endl;
// std::cout << "lc = " << lc << std::endl;
// std::cout << "in = " << in << std::endl;
// std::cout << "out = " << out << std::endl;
// std::cout << "oe = " << oe << std::endl;
if (!getCode(pl.lit, rlc, c, lc, in, ie, out, outb, oe)) {
return false;
}
} else {
if (!pl.p) {
return false;
}
// invalidCode(); // wrong code
//
// Search long code
//
int j;
for (j = 0; j < pl.lit; j++) {
int l = hufLength(hcode[pl.p[j]]);
while (lc < l && in < ie) // get more bits
getChar(c, lc, in);
if (lc >= l) {
if (hufCode(hcode[pl.p[j]]) ==
((c >> (lc - l)) & (((long long)(1) << l) - 1))) {
//
// Found : get long code
//
lc -= l;
if (!getCode(pl.p[j], rlc, c, lc, in, ie, out, outb, oe)) {
return false;
}
break;
}
}
}
if (j == pl.lit) {
return false;
// invalidCode(); // Not found
}
}
}
}
//
// Get remaining (short) codes
//
int i = (8 - ni) & 7;
c >>= i;
lc -= i;
while (lc > 0) {
const HufDec pl = hdecod[(c << (HUF_DECBITS - lc)) & HUF_DECMASK];
if (pl.len) {
lc -= pl.len;
if (!getCode(pl.lit, rlc, c, lc, in, ie, out, outb, oe)) {
return false;
}
} else {
return false;
// invalidCode(); // wrong (long) code
}
}
if (out - outb != no) {
return false;
}
// notEnoughData ();
return true;
}
static void countFrequencies(std::vector<long long> &freq,
const unsigned short data[/*n*/], int n) {
for (int i = 0; i < HUF_ENCSIZE; ++i) freq[i] = 0;
for (int i = 0; i < n; ++i) ++freq[data[i]];
}
static void writeUInt(char buf[4], unsigned int i) {
unsigned char *b = (unsigned char *)buf;
b[0] = i;
b[1] = i >> 8;
b[2] = i >> 16;
b[3] = i >> 24;
}
static unsigned int readUInt(const char buf[4]) {
const unsigned char *b = (const unsigned char *)buf;
return (b[0] & 0x000000ff) | ((b[1] << 8) & 0x0000ff00) |
((b[2] << 16) & 0x00ff0000) | ((b[3] << 24) & 0xff000000);
}
//
// EXTERNAL INTERFACE
//
static int hufCompress(const unsigned short raw[], int nRaw,
char compressed[]) {
if (nRaw == 0) return 0;
std::vector<long long> freq(HUF_ENCSIZE);
countFrequencies(freq, raw, nRaw);
int im = 0;
int iM = 0;
hufBuildEncTable(freq.data(), &im, &iM);
char *tableStart = compressed + 20;
char *tableEnd = tableStart;
hufPackEncTable(freq.data(), im, iM, &tableEnd);
int tableLength = tableEnd - tableStart;
char *dataStart = tableEnd;
int nBits = hufEncode(freq.data(), raw, nRaw, iM, dataStart);
int data_length = (nBits + 7) / 8;
writeUInt(compressed, im);
writeUInt(compressed + 4, iM);
writeUInt(compressed + 8, tableLength);
writeUInt(compressed + 12, nBits);
writeUInt(compressed + 16, 0); // room for future extensions
return dataStart + data_length - compressed;
}
static bool hufUncompress(const char compressed[], int nCompressed,
std::vector<unsigned short> *raw) {
if (nCompressed == 0) {
if (raw->size() != 0) return false;
return false;
}
int im = readUInt(compressed);
int iM = readUInt(compressed + 4);
// int tableLength = readUInt (compressed + 8);
int nBits = readUInt(compressed + 12);
if (im < 0 || im >= HUF_ENCSIZE || iM < 0 || iM >= HUF_ENCSIZE) return false;
const char *ptr = compressed + 20;
//
// Fast decoder needs at least 2x64-bits of compressed data, and
// needs to be run-able on this platform. Otherwise, fall back
// to the original decoder
//
// if (FastHufDecoder::enabled() && nBits > 128)
//{
// FastHufDecoder fhd (ptr, nCompressed - (ptr - compressed), im, iM, iM);
// fhd.decode ((unsigned char*)ptr, nBits, raw, nRaw);
//}
// else
{
std::vector<long long> freq(HUF_ENCSIZE);
std::vector<HufDec> hdec(HUF_DECSIZE);
hufClearDecTable(&hdec.at(0));
hufUnpackEncTable(&ptr, nCompressed - (ptr - compressed), im, iM,
&freq.at(0));
{
if (nBits > 8 * (nCompressed - (ptr - compressed))) {
return false;
}
hufBuildDecTable(&freq.at(0), im, iM, &hdec.at(0));
hufDecode(&freq.at(0), &hdec.at(0), ptr, nBits, iM, raw->size(),
raw->data());
}
// catch (...)
//{
// hufFreeDecTable (hdec);
// throw;
//}
hufFreeDecTable(&hdec.at(0));
}
return true;
}
//
// Functions to compress the range of values in the pixel data
//
const int USHORT_RANGE = (1 << 16);
const int BITMAP_SIZE = (USHORT_RANGE >> 3);
static void bitmapFromData(const unsigned short data[/*nData*/], int nData,
unsigned char bitmap[BITMAP_SIZE],
unsigned short &minNonZero,
unsigned short &maxNonZero) {
for (int i = 0; i < BITMAP_SIZE; ++i) bitmap[i] = 0;
for (int i = 0; i < nData; ++i) bitmap[data[i] >> 3] |= (1 << (data[i] & 7));
bitmap[0] &= ~1; // zero is not explicitly stored in
// the bitmap; we assume that the
// data always contain zeroes
minNonZero = BITMAP_SIZE - 1;
maxNonZero = 0;
for (int i = 0; i < BITMAP_SIZE; ++i) {
if (bitmap[i]) {
if (minNonZero > i) minNonZero = i;
if (maxNonZero < i) maxNonZero = i;
}
}
}
static unsigned short forwardLutFromBitmap(
const unsigned char bitmap[BITMAP_SIZE], unsigned short lut[USHORT_RANGE]) {
int k = 0;
for (int i = 0; i < USHORT_RANGE; ++i) {
if ((i == 0) || (bitmap[i >> 3] & (1 << (i & 7))))
lut[i] = k++;
else
lut[i] = 0;
}
return k - 1; // maximum value stored in lut[],
} // i.e. number of ones in bitmap minus 1
static unsigned short reverseLutFromBitmap(
const unsigned char bitmap[BITMAP_SIZE], unsigned short lut[USHORT_RANGE]) {
int k = 0;
for (int i = 0; i < USHORT_RANGE; ++i) {
if ((i == 0) || (bitmap[i >> 3] & (1 << (i & 7)))) lut[k++] = i;
}
int n = k - 1;
while (k < USHORT_RANGE) lut[k++] = 0;
return n; // maximum k where lut[k] is non-zero,
} // i.e. number of ones in bitmap minus 1
static void applyLut(const unsigned short lut[USHORT_RANGE],
unsigned short data[/*nData*/], int nData) {
for (int i = 0; i < nData; ++i) data[i] = lut[data[i]];
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif // __clang__
#ifdef _MSC_VER
#pragma warning(pop)
#endif
static bool CompressPiz(unsigned char *outPtr, unsigned int *outSize,
const unsigned char *inPtr, size_t inSize,
const std::vector<ChannelInfo> &channelInfo,
int data_width, int num_lines) {
std::vector<unsigned char> bitmap(BITMAP_SIZE);
unsigned short minNonZero;
unsigned short maxNonZero;
#if !MINIZ_LITTLE_ENDIAN
// @todo { PIZ compression on BigEndian architecture. }
assert(0);
return false;
#endif
// Assume `inSize` is multiple of 2 or 4.
std::vector<unsigned short> tmpBuffer(inSize / sizeof(unsigned short));
std::vector<PIZChannelData> channelData(channelInfo.size());
unsigned short *tmpBufferEnd = &tmpBuffer.at(0);
for (size_t c = 0; c < channelData.size(); c++) {
PIZChannelData &cd = channelData[c];
cd.start = tmpBufferEnd;
cd.end = cd.start;
cd.nx = data_width;
cd.ny = num_lines;
// cd.ys = c.channel().ySampling;
size_t pixelSize = sizeof(int); // UINT and FLOAT
if (channelInfo[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
pixelSize = sizeof(short);
}
cd.size = static_cast<int>(pixelSize / sizeof(short));
tmpBufferEnd += cd.nx * cd.ny * cd.size;
}
const unsigned char *ptr = inPtr;
for (int y = 0; y < num_lines; ++y) {
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
// if (modp (y, cd.ys) != 0)
// continue;
size_t n = static_cast<size_t>(cd.nx * cd.size);
memcpy(cd.end, ptr, n * sizeof(unsigned short));
ptr += n * sizeof(unsigned short);
cd.end += n;
}
}
bitmapFromData(&tmpBuffer.at(0), static_cast<int>(tmpBuffer.size()),
bitmap.data(), minNonZero, maxNonZero);
std::vector<unsigned short> lut(USHORT_RANGE);
unsigned short maxValue = forwardLutFromBitmap(bitmap.data(), lut.data());
applyLut(lut.data(), &tmpBuffer.at(0), static_cast<int>(tmpBuffer.size()));
//
// Store range compression info in _outBuffer
//
char *buf = reinterpret_cast<char *>(outPtr);
memcpy(buf, &minNonZero, sizeof(unsigned short));
buf += sizeof(unsigned short);
memcpy(buf, &maxNonZero, sizeof(unsigned short));
buf += sizeof(unsigned short);
if (minNonZero <= maxNonZero) {
memcpy(buf, reinterpret_cast<char *>(&bitmap[0] + minNonZero),
maxNonZero - minNonZero + 1);
buf += maxNonZero - minNonZero + 1;
}
//
// Apply wavelet encoding
//
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
for (int j = 0; j < cd.size; ++j) {
wav2Encode(cd.start + j, cd.nx, cd.size, cd.ny, cd.nx * cd.size,
maxValue);
}
}
//
// Apply Huffman encoding; append the result to _outBuffer
//
// length header(4byte), then huff data. Initialize length header with zero,
// then later fill it by `length`.
char *lengthPtr = buf;
int zero = 0;
memcpy(buf, &zero, sizeof(int));
buf += sizeof(int);
int length =
hufCompress(&tmpBuffer.at(0), static_cast<int>(tmpBuffer.size()), buf);
memcpy(lengthPtr, &length, sizeof(int));
(*outSize) = static_cast<unsigned int>(
(reinterpret_cast<unsigned char *>(buf) - outPtr) +
static_cast<unsigned int>(length));
// Use uncompressed data when compressed data is larger than uncompressed.
// (Issue 40)
if ((*outSize) >= inSize) {
(*outSize) = static_cast<unsigned int>(inSize);
memcpy(outPtr, inPtr, inSize);
}
return true;
}
static bool DecompressPiz(unsigned char *outPtr, const unsigned char *inPtr,
size_t tmpBufSize, size_t inLen, int num_channels,
const EXRChannelInfo *channels, int data_width,
int num_lines) {
if (inLen == tmpBufSize) {
// Data is not compressed(Issue 40).
memcpy(outPtr, inPtr, inLen);
return true;
}
std::vector<unsigned char> bitmap(BITMAP_SIZE);
unsigned short minNonZero;
unsigned short maxNonZero;
#if !MINIZ_LITTLE_ENDIAN
// @todo { PIZ compression on BigEndian architecture. }
assert(0);
return false;
#endif
memset(bitmap.data(), 0, BITMAP_SIZE);
const unsigned char *ptr = inPtr;
// minNonZero = *(reinterpret_cast<const unsigned short *>(ptr));
tinyexr::cpy2(&minNonZero, reinterpret_cast<const unsigned short *>(ptr));
// maxNonZero = *(reinterpret_cast<const unsigned short *>(ptr + 2));
tinyexr::cpy2(&maxNonZero, reinterpret_cast<const unsigned short *>(ptr + 2));
ptr += 4;
if (maxNonZero >= BITMAP_SIZE) {
return false;
}
if (minNonZero <= maxNonZero) {
memcpy(reinterpret_cast<char *>(&bitmap[0] + minNonZero), ptr,
maxNonZero - minNonZero + 1);
ptr += maxNonZero - minNonZero + 1;
}
std::vector<unsigned short> lut(USHORT_RANGE);
memset(lut.data(), 0, sizeof(unsigned short) * USHORT_RANGE);
unsigned short maxValue = reverseLutFromBitmap(bitmap.data(), lut.data());
//
// Huffman decoding
//
int length;
// length = *(reinterpret_cast<const int *>(ptr));
tinyexr::cpy4(&length, reinterpret_cast<const int *>(ptr));
ptr += sizeof(int);
if (size_t((ptr - inPtr) + length) > inLen) {
return false;
}
std::vector<unsigned short> tmpBuffer(tmpBufSize);
hufUncompress(reinterpret_cast<const char *>(ptr), length, &tmpBuffer);
//
// Wavelet decoding
//
std::vector<PIZChannelData> channelData(static_cast<size_t>(num_channels));
unsigned short *tmpBufferEnd = &tmpBuffer.at(0);
for (size_t i = 0; i < static_cast<size_t>(num_channels); ++i) {
const EXRChannelInfo &chan = channels[i];
size_t pixelSize = sizeof(int); // UINT and FLOAT
if (chan.pixel_type == TINYEXR_PIXELTYPE_HALF) {
pixelSize = sizeof(short);
}
channelData[i].start = tmpBufferEnd;
channelData[i].end = channelData[i].start;
channelData[i].nx = data_width;
channelData[i].ny = num_lines;
// channelData[i].ys = 1;
channelData[i].size = static_cast<int>(pixelSize / sizeof(short));
tmpBufferEnd += channelData[i].nx * channelData[i].ny * channelData[i].size;
}
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
for (int j = 0; j < cd.size; ++j) {
wav2Decode(cd.start + j, cd.nx, cd.size, cd.ny, cd.nx * cd.size,
maxValue);
}
}
//
// Expand the pixel data to their original range
//
applyLut(lut.data(), &tmpBuffer.at(0), static_cast<int>(tmpBufSize));
for (int y = 0; y < num_lines; y++) {
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
// if (modp (y, cd.ys) != 0)
// continue;
size_t n = static_cast<size_t>(cd.nx * cd.size);
memcpy(outPtr, cd.end, static_cast<size_t>(n * sizeof(unsigned short)));
outPtr += n * sizeof(unsigned short);
cd.end += n;
}
}
return true;
}
#endif // TINYEXR_USE_PIZ
#if TINYEXR_USE_ZFP
struct ZFPCompressionParam {
double rate;
unsigned int precision;
unsigned int __pad0;
double tolerance;
int type; // TINYEXR_ZFP_COMPRESSIONTYPE_*
unsigned int __pad1;
ZFPCompressionParam() {
type = TINYEXR_ZFP_COMPRESSIONTYPE_RATE;
rate = 2.0;
precision = 0;
tolerance = 0.0;
}
};
static bool FindZFPCompressionParam(ZFPCompressionParam *param,
const EXRAttribute *attributes,
int num_attributes,
std::string *err) {
bool foundType = false;
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionType") == 0)) {
if (attributes[i].size == 1) {
param->type = static_cast<int>(attributes[i].value[0]);
foundType = true;
break;
} else {
if (err) {
(*err) += "zfpCompressionType attribute must be uchar(1 byte) type.\n";
}
return false;
}
}
}
if (!foundType) {
if (err) {
(*err) += "`zfpCompressionType` attribute not found.\n";
}
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;
}
}
if (err) {
(*err) += "`zfpCompressionRate` attribute not found.\n";
}
} 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;
}
}
if (err) {
(*err) += "`zfpCompressionPrecision` attribute not found.\n";
}
} 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;
}
}
if (err) {
(*err) += "`zfpCompressionTolerance` attribute not found.\n";
}
} else {
if (err) {
(*err) += "Unknown value specified for `zfpCompressionType`.\n";
}
}
return false;
}
// Assume pixel format is FLOAT for all channels.
static bool DecompressZfp(float *dst, int dst_width, int dst_num_lines,
size_t num_channels, const unsigned char *src,
unsigned long src_size,
const ZFPCompressionParam ¶m) {
size_t uncompressed_size = size_t(dst_width) * size_t(dst_num_lines) * num_channels;
if (uncompressed_size == src_size) {
// Data is not compressed(Issue 40).
memcpy(dst, src, src_size);
}
zfp_stream *zfp = NULL;
zfp_field *field = NULL;
assert((dst_width % 4) == 0);
assert((dst_num_lines % 4) == 0);
if ((size_t(dst_width) & 3U) || (size_t(dst_num_lines) & 3U)) {
return false;
}
field =
zfp_field_2d(reinterpret_cast<void *>(const_cast<unsigned char *>(src)),
zfp_type_float, static_cast<unsigned int>(dst_width), static_cast<unsigned int>(dst_num_lines) * static_cast<unsigned int>(num_channels));
zfp = zfp_stream_open(NULL);
if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_RATE) {
zfp_stream_set_rate(zfp, param.rate, zfp_type_float, /* dimension */ 2,
/* write random access */ 0);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION) {
zfp_stream_set_precision(zfp, param.precision);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
zfp_stream_set_accuracy(zfp, param.tolerance);
} 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 = size_t(dst_width) * size_t(dst_num_lines);
for (size_t c = 0; c < size_t(num_channels); c++) {
// decompress 4x4 pixel block.
for (size_t y = 0; y < size_t(dst_num_lines); y += 4) {
for (size_t x = 0; x < size_t(dst_width); x += 4) {
float fblock[16];
zfp_decode_block_float_2(zfp, fblock);
for (size_t j = 0; j < 4; j++) {
for (size_t i = 0; i < 4; i++) {
dst[c * image_size + ((y + j) * size_t(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.
static 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 ((size_t(width) & 3U) || (size_t(num_lines) & 3U)) {
return false;
}
// create input array.
field = zfp_field_2d(reinterpret_cast<void *>(const_cast<float *>(inPtr)),
zfp_type_float, static_cast<unsigned int>(width), static_cast<unsigned int>(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);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
zfp_stream_set_accuracy(zfp, param.tolerance);
} 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 = size_t(width) * size_t(num_lines);
for (size_t c = 0; c < size_t(num_channels); c++) {
// compress 4x4 pixel block.
for (size_t y = 0; y < size_t(num_lines); y += 4) {
for (size_t x = 0; x < size_t(width); x += 4) {
float fblock[16];
for (size_t j = 0; j < 4; j++) {
for (size_t i = 0; i < 4; i++) {
fblock[j * 4 + i] =
inPtr[c * image_size + ((y + j) * size_t(width) + (x + i))];
}
}
zfp_encode_block_float_2(zfp, fblock);
}
}
}
zfp_stream_flush(zfp);
(*outSize) = static_cast<unsigned int>(zfp_stream_compressed_size(zfp));
zfp_stream_close(zfp);
return true;
}
#endif
//
// -----------------------------------------------------------------
//
// TODO(syoyo): Refactor function arguments.
static bool DecodePixelData(/* out */ unsigned char **out_images,
const int *requested_pixel_types,
const unsigned char *data_ptr, size_t data_len,
int compression_type, int line_order, int width,
int height, int x_stride, int y, int line_no,
int num_lines, size_t pixel_data_size,
size_t num_attributes,
const EXRAttribute *attributes, size_t num_channels,
const EXRChannelInfo *channels,
const std::vector<size_t> &channel_offset_list) {
if (compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) { // PIZ
#if TINYEXR_USE_PIZ
if ((width == 0) || (num_lines == 0) || (pixel_data_size == 0)) {
// Invalid input #90
return false;
}
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(
static_cast<size_t>(width * num_lines) * pixel_data_size));
size_t tmpBufLen = outBuf.size();
bool ret = tinyexr::DecompressPiz(
reinterpret_cast<unsigned char *>(&outBuf.at(0)), data_ptr, tmpBufLen,
data_len, static_cast<int>(num_channels), channels, width, num_lines);
if (!ret) {
return false;
}
// For PIZ_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
FP16 hf;
// hf.u = line_ptr[u];
// use `cpy` to avoid unaligned memory access when compiler's
// optimization is on.
tinyexr::cpy2(&(hf.u), line_ptr + u);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
size_t offset = 0;
if (line_order == 0) {
offset = (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
offset = static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
image += offset;
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val;
// val = line_ptr[u];
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(&outBuf.at(
v * pixel_data_size * static_cast<size_t>(x_stride) +
channel_offset_list[c] * static_cast<size_t>(x_stride)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val;
// val = line_ptr[u];
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
#else
assert(0 && "PIZ is enabled in this build");
return false;
#endif
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS ||
compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = static_cast<unsigned long>(outBuf.size());
assert(dstLen > 0);
if (!tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&outBuf.at(0)), &dstLen, data_ptr,
static_cast<unsigned long>(data_len))) {
return false;
}
// For ZIP_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * static_cast<size_t>(pixel_data_size) *
static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
tinyexr::FP16 hf;
// hf.u = line_ptr[u];
tinyexr::cpy2(&(hf.u), line_ptr + u);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
tinyexr::FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
size_t offset = 0;
if (line_order == 0) {
offset = (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
offset = (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
image += offset;
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val;
// val = line_ptr[u];
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val;
// val = line_ptr[u];
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
return false;
}
}
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_RLE) {
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = static_cast<unsigned long>(outBuf.size());
if (dstLen == 0) {
return false;
}
if (!tinyexr::DecompressRle(
reinterpret_cast<unsigned char *>(&outBuf.at(0)), dstLen, data_ptr,
static_cast<unsigned long>(data_len))) {
return false;
}
// For RLE_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * static_cast<size_t>(pixel_data_size) *
static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
tinyexr::FP16 hf;
// hf.u = line_ptr[u];
tinyexr::cpy2(&(hf.u), line_ptr + u);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
tinyexr::FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val;
// val = line_ptr[u];
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val;
// val = line_ptr[u];
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
return false;
}
}
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
tinyexr::ZFPCompressionParam zfp_compression_param;
std::string e;
if (!tinyexr::FindZFPCompressionParam(&zfp_compression_param, attributes,
int(num_attributes), &e)) {
// This code path should not be reachable.
assert(0);
return false;
}
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = outBuf.size();
assert(dstLen > 0);
tinyexr::DecompressZfp(reinterpret_cast<float *>(&outBuf.at(0)), width,
num_lines, num_channels, data_ptr,
static_cast<unsigned long>(data_len),
zfp_compression_param);
// For ZFP_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
assert(channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val;
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
return false;
}
}
#else
(void)attributes;
(void)num_attributes;
(void)num_channels;
assert(0);
return false;
#endif
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_NONE) {
for (size_t c = 0; c < num_channels; c++) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
const unsigned short *line_ptr =
reinterpret_cast<const unsigned short *>(
data_ptr + v * pixel_data_size * size_t(width) +
channel_offset_list[c] * static_cast<size_t>(width));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *outLine =
reinterpret_cast<unsigned short *>(out_images[c]);
if (line_order == 0) {
outLine += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
// hf.u = line_ptr[u];
tinyexr::cpy2(&(hf.u), line_ptr + u);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
outLine[u] = hf.u;
}
} else if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
float *outLine = reinterpret_cast<float *>(out_images[c]);
if (line_order == 0) {
outLine += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
if (reinterpret_cast<const unsigned char *>(line_ptr + width) >
(data_ptr + data_len)) {
// Insufficient data size
return false;
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
// address may not be aliged. use byte-wise copy for safety.#76
// hf.u = line_ptr[u];
tinyexr::cpy2(&(hf.u), line_ptr + u);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
tinyexr::FP32 f32 = half_to_float(hf);
outLine[u] = f32.f;
}
} else {
assert(0);
return false;
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
const float *line_ptr = reinterpret_cast<const float *>(
data_ptr + v * pixel_data_size * size_t(width) +
channel_offset_list[c] * static_cast<size_t>(width));
float *outLine = reinterpret_cast<float *>(out_images[c]);
if (line_order == 0) {
outLine += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
if (reinterpret_cast<const unsigned char *>(line_ptr + width) >
(data_ptr + data_len)) {
// Insufficient data size
return false;
}
for (int u = 0; u < width; u++) {
float val;
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
outLine[u] = val;
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
const unsigned int *line_ptr = reinterpret_cast<const unsigned int *>(
data_ptr + v * pixel_data_size * size_t(width) +
channel_offset_list[c] * static_cast<size_t>(width));
unsigned int *outLine =
reinterpret_cast<unsigned int *>(out_images[c]);
if (line_order == 0) {
outLine += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
for (int u = 0; u < width; u++) {
if (reinterpret_cast<const unsigned char *>(line_ptr + u) >=
(data_ptr + data_len)) {
// Corrupsed data?
return false;
}
unsigned int val;
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
outLine[u] = val;
}
}
}
}
}
return true;
}
static bool 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.
return DecodePixelData(out_images, requested_pixel_types, data_ptr, data_len,
compression_type, line_order, (*width), tile_size_y,
/* stride */ tile_size_x, /* y */ 0, /* line_no */ 0,
(*height), pixel_data_size, num_attributes, attributes,
num_channels, channels, channel_offset_list);
}
static bool ComputeChannelLayout(std::vector<size_t> *channel_offset_list,
int *pixel_data_size, size_t *channel_offset,
int num_channels,
const EXRChannelInfo *channels) {
channel_offset_list->resize(static_cast<size_t>(num_channels));
(*pixel_data_size) = 0;
(*channel_offset) = 0;
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
(*channel_offset_list)[c] = (*channel_offset);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
(*pixel_data_size) += sizeof(unsigned short);
(*channel_offset) += sizeof(unsigned short);
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
(*pixel_data_size) += sizeof(float);
(*channel_offset) += sizeof(float);
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
(*pixel_data_size) += sizeof(unsigned int);
(*channel_offset) += sizeof(unsigned int);
} else {
// ???
return false;
}
}
return true;
}
static unsigned char **AllocateImage(int num_channels,
const EXRChannelInfo *channels,
const int *requested_pixel_types,
int data_width, int data_height) {
unsigned char **images =
reinterpret_cast<unsigned char **>(static_cast<float **>(
malloc(sizeof(float *) * static_cast<size_t>(num_channels))));
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
size_t data_len =
static_cast<size_t>(data_width) * static_cast<size_t>(data_height);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
// pixel_data_size += sizeof(unsigned short);
// channel_offset += sizeof(unsigned short);
// Alloc internal image for half type.
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
images[c] =
reinterpret_cast<unsigned char *>(static_cast<unsigned short *>(
malloc(sizeof(unsigned short) * data_len)));
} else if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
images[c] = reinterpret_cast<unsigned char *>(
static_cast<float *>(malloc(sizeof(float) * data_len)));
} else {
assert(0);
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
// pixel_data_size += sizeof(float);
// channel_offset += sizeof(float);
images[c] = reinterpret_cast<unsigned char *>(
static_cast<float *>(malloc(sizeof(float) * data_len)));
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
// pixel_data_size += sizeof(unsigned int);
// channel_offset += sizeof(unsigned int);
images[c] = reinterpret_cast<unsigned char *>(
static_cast<unsigned int *>(malloc(sizeof(unsigned int) * data_len)));
} else {
assert(0);
}
}
return images;
}
#ifdef _WIN32
static inline std::wstring UTF8ToWchar(const std::string &str) {
int wstr_size =
MultiByteToWideChar(CP_UTF8, 0, str.data(), (int)str.size(), NULL, 0);
std::wstring wstr(wstr_size, 0);
MultiByteToWideChar(CP_UTF8, 0, str.data(), (int)str.size(), &wstr[0],
(int)wstr.size());
return wstr;
}
#endif
static int ParseEXRHeader(HeaderInfo *info, bool *empty_header,
const EXRVersion *version, std::string *err,
const unsigned char *buf, size_t size) {
const char *marker = reinterpret_cast<const char *>(&buf[0]);
if (empty_header) {
(*empty_header) = false;
}
if (version->multipart) {
if (size > 0 && marker[0] == '\0') {
// End of header list.
if (empty_header) {
(*empty_header) = true;
}
return TINYEXR_SUCCESS;
}
}
// According to the spec, the header of every OpenEXR file must contain at
// least the following attributes:
//
// channels chlist
// compression compression
// dataWindow box2i
// displayWindow box2i
// lineOrder lineOrder
// pixelAspectRatio float
// screenWindowCenter v2f
// screenWindowWidth float
bool has_channels = false;
bool has_compression = false;
bool has_data_window = false;
bool has_display_window = false;
bool has_line_order = false;
bool has_pixel_aspect_ratio = false;
bool has_screen_window_center = false;
bool has_screen_window_width = false;
info->data_window[0] = 0;
info->data_window[1] = 0;
info->data_window[2] = 0;
info->data_window[3] = 0;
info->line_order = 0; // @fixme
info->display_window[0] = 0;
info->display_window[1] = 0;
info->display_window[2] = 0;
info->display_window[3] = 0;
info->screen_window_center[0] = 0.0f;
info->screen_window_center[1] = 0.0f;
info->screen_window_width = -1.0f;
info->pixel_aspect_ratio = -1.0f;
info->tile_size_x = -1;
info->tile_size_y = -1;
info->tile_level_mode = -1;
info->tile_rounding_mode = -1;
info->attributes.clear();
// Read attributes
size_t orig_size = size;
for (size_t nattr = 0; nattr < TINYEXR_MAX_HEADER_ATTRIBUTES; nattr++) {
if (0 == size) {
if (err) {
(*err) += "Insufficient data size for attributes.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
} else if (marker[0] == '\0') {
size--;
break;
}
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
size_t marker_size;
if (!tinyexr::ReadAttribute(&attr_name, &attr_type, &data, &marker_size,
marker, size)) {
if (err) {
(*err) += "Failed to read attribute.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
marker += marker_size;
size -= marker_size;
if (version->tiled && attr_name.compare("tiles") == 0) {
unsigned int x_size, y_size;
unsigned char tile_mode;
assert(data.size() == 9);
memcpy(&x_size, &data.at(0), sizeof(int));
memcpy(&y_size, &data.at(4), sizeof(int));
tile_mode = data[8];
tinyexr::swap4(&x_size);
tinyexr::swap4(&y_size);
info->tile_size_x = static_cast<int>(x_size);
info->tile_size_y = static_cast<int>(y_size);
// mode = levelMode + roundingMode * 16
info->tile_level_mode = tile_mode & 0x3;
info->tile_rounding_mode = (tile_mode >> 4) & 0x1;
} else if (attr_name.compare("compression") == 0) {
bool ok = false;
if (data[0] < TINYEXR_COMPRESSIONTYPE_PIZ) {
ok = true;
}
if (data[0] == TINYEXR_COMPRESSIONTYPE_PIZ) {
#if TINYEXR_USE_PIZ
ok = true;
#else
if (err) {
(*err) = "PIZ compression is not supported.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
#endif
}
if (data[0] == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
ok = true;
#else
if (err) {
(*err) = "ZFP compression is not supported.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
#endif
}
if (!ok) {
if (err) {
(*err) = "Unknown compression type.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
info->compression_type = static_cast<int>(data[0]);
has_compression = true;
} else if (attr_name.compare("channels") == 0) {
// name: zero-terminated string, from 1 to 255 bytes long
// pixel type: int, possible values are: UINT = 0 HALF = 1 FLOAT = 2
// pLinear: unsigned char, possible values are 0 and 1
// reserved: three chars, should be zero
// xSampling: int
// ySampling: int
if (!ReadChannelInfo(info->channels, data)) {
if (err) {
(*err) += "Failed to parse channel info.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
if (info->channels.size() < 1) {
if (err) {
(*err) += "# of channels is zero.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
has_channels = true;
} else if (attr_name.compare("dataWindow") == 0) {
if (data.size() >= 16) {
memcpy(&info->data_window[0], &data.at(0), sizeof(int));
memcpy(&info->data_window[1], &data.at(4), sizeof(int));
memcpy(&info->data_window[2], &data.at(8), sizeof(int));
memcpy(&info->data_window[3], &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[3]));
has_data_window = true;
}
} else if (attr_name.compare("displayWindow") == 0) {
if (data.size() >= 16) {
memcpy(&info->display_window[0], &data.at(0), sizeof(int));
memcpy(&info->display_window[1], &data.at(4), sizeof(int));
memcpy(&info->display_window[2], &data.at(8), sizeof(int));
memcpy(&info->display_window[3], &data.at(12), sizeof(int));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[0]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[1]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[2]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[3]));
has_display_window = true;
}
} else if (attr_name.compare("lineOrder") == 0) {
if (data.size() >= 1) {
info->line_order = static_cast<int>(data[0]);
has_line_order = true;
}
} else if (attr_name.compare("pixelAspectRatio") == 0) {
if (data.size() >= sizeof(float)) {
memcpy(&info->pixel_aspect_ratio, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->pixel_aspect_ratio));
has_pixel_aspect_ratio = true;
}
} else if (attr_name.compare("screenWindowCenter") == 0) {
if (data.size() >= 8) {
memcpy(&info->screen_window_center[0], &data.at(0), sizeof(float));
memcpy(&info->screen_window_center[1], &data.at(4), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_center[0]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_center[1]));
has_screen_window_center = true;
}
} else if (attr_name.compare("screenWindowWidth") == 0) {
if (data.size() >= sizeof(float)) {
memcpy(&info->screen_window_width, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_width));
has_screen_window_width = true;
}
} else if (attr_name.compare("chunkCount") == 0) {
if (data.size() >= sizeof(int)) {
memcpy(&info->chunk_count, &data.at(0), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->chunk_count));
}
} else {
// Custom attribute(up to TINYEXR_MAX_CUSTOM_ATTRIBUTES)
if (info->attributes.size() < TINYEXR_MAX_CUSTOM_ATTRIBUTES) {
EXRAttribute attrib;
#ifdef _MSC_VER
strncpy_s(attrib.name, attr_name.c_str(), 255);
strncpy_s(attrib.type, attr_type.c_str(), 255);
#else
strncpy(attrib.name, attr_name.c_str(), 255);
strncpy(attrib.type, attr_type.c_str(), 255);
#endif
attrib.name[255] = '\0';
attrib.type[255] = '\0';
attrib.size = static_cast<int>(data.size());
attrib.value = static_cast<unsigned char *>(malloc(data.size()));
memcpy(reinterpret_cast<char *>(attrib.value), &data.at(0),
data.size());
info->attributes.push_back(attrib);
}
}
}
// Check if required attributes exist
{
std::stringstream ss_err;
if (!has_compression) {
ss_err << "\"compression\" attribute not found in the header."
<< std::endl;
}
if (!has_channels) {
ss_err << "\"channels\" attribute not found in the header." << std::endl;
}
if (!has_line_order) {
ss_err << "\"lineOrder\" attribute not found in the header." << std::endl;
}
if (!has_display_window) {
ss_err << "\"displayWindow\" attribute not found in the header."
<< std::endl;
}
if (!has_data_window) {
ss_err << "\"dataWindow\" attribute not found in the header or invalid."
<< std::endl;
}
if (!has_pixel_aspect_ratio) {
ss_err << "\"pixelAspectRatio\" attribute not found in the header."
<< std::endl;
}
if (!has_screen_window_width) {
ss_err << "\"screenWindowWidth\" attribute not found in the header."
<< std::endl;
}
if (!has_screen_window_center) {
ss_err << "\"screenWindowCenter\" attribute not found in the header."
<< std::endl;
}
if (!(ss_err.str().empty())) {
if (err) {
(*err) += ss_err.str();
}
return TINYEXR_ERROR_INVALID_HEADER;
}
}
info->header_len = static_cast<unsigned int>(orig_size - size);
return TINYEXR_SUCCESS;
}
// C++ HeaderInfo to C EXRHeader conversion.
static void ConvertHeader(EXRHeader *exr_header, const HeaderInfo &info) {
exr_header->pixel_aspect_ratio = info.pixel_aspect_ratio;
exr_header->screen_window_center[0] = info.screen_window_center[0];
exr_header->screen_window_center[1] = info.screen_window_center[1];
exr_header->screen_window_width = info.screen_window_width;
exr_header->chunk_count = info.chunk_count;
exr_header->display_window[0] = info.display_window[0];
exr_header->display_window[1] = info.display_window[1];
exr_header->display_window[2] = info.display_window[2];
exr_header->display_window[3] = info.display_window[3];
exr_header->data_window[0] = info.data_window[0];
exr_header->data_window[1] = info.data_window[1];
exr_header->data_window[2] = info.data_window[2];
exr_header->data_window[3] = info.data_window[3];
exr_header->line_order = info.line_order;
exr_header->compression_type = info.compression_type;
exr_header->tile_size_x = info.tile_size_x;
exr_header->tile_size_y = info.tile_size_y;
exr_header->tile_level_mode = info.tile_level_mode;
exr_header->tile_rounding_mode = info.tile_rounding_mode;
exr_header->num_channels = static_cast<int>(info.channels.size());
exr_header->channels = static_cast<EXRChannelInfo *>(malloc(
sizeof(EXRChannelInfo) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
#ifdef _MSC_VER
strncpy_s(exr_header->channels[c].name, info.channels[c].name.c_str(), 255);
#else
strncpy(exr_header->channels[c].name, info.channels[c].name.c_str(), 255);
#endif
// manually add '\0' for safety.
exr_header->channels[c].name[255] = '\0';
exr_header->channels[c].pixel_type = info.channels[c].pixel_type;
exr_header->channels[c].p_linear = info.channels[c].p_linear;
exr_header->channels[c].x_sampling = info.channels[c].x_sampling;
exr_header->channels[c].y_sampling = info.channels[c].y_sampling;
}
exr_header->pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
exr_header->pixel_types[c] = info.channels[c].pixel_type;
}
// Initially fill with values of `pixel_types`
exr_header->requested_pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
exr_header->requested_pixel_types[c] = info.channels[c].pixel_type;
}
exr_header->num_custom_attributes = static_cast<int>(info.attributes.size());
if (exr_header->num_custom_attributes > 0) {
// TODO(syoyo): Report warning when # of attributes exceeds
// `TINYEXR_MAX_CUSTOM_ATTRIBUTES`
if (exr_header->num_custom_attributes > TINYEXR_MAX_CUSTOM_ATTRIBUTES) {
exr_header->num_custom_attributes = TINYEXR_MAX_CUSTOM_ATTRIBUTES;
}
exr_header->custom_attributes = static_cast<EXRAttribute *>(malloc(
sizeof(EXRAttribute) * size_t(exr_header->num_custom_attributes)));
for (size_t i = 0; i < info.attributes.size(); i++) {
memcpy(exr_header->custom_attributes[i].name, info.attributes[i].name,
256);
memcpy(exr_header->custom_attributes[i].type, info.attributes[i].type,
256);
exr_header->custom_attributes[i].size = info.attributes[i].size;
// Just copy pointer
exr_header->custom_attributes[i].value = info.attributes[i].value;
}
} else {
exr_header->custom_attributes = NULL;
}
exr_header->header_len = info.header_len;
}
static int DecodeChunk(EXRImage *exr_image, const EXRHeader *exr_header,
const std::vector<tinyexr::tinyexr_uint64> &offsets,
const unsigned char *head, const size_t size,
std::string *err) {
int num_channels = exr_header->num_channels;
int num_scanline_blocks = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanline_blocks = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanline_blocks = 16;
#if TINYEXR_USE_ZFP
tinyexr::ZFPCompressionParam zfp_compression_param;
if (!FindZFPCompressionParam(&zfp_compression_param, exr_header->custom_attributes,
int(exr_header->num_custom_attributes), err)) {
return TINYEXR_ERROR_INVALID_HEADER;
}
#endif
}
int data_width = exr_header->data_window[2] - exr_header->data_window[0] + 1;
int data_height = exr_header->data_window[3] - exr_header->data_window[1] + 1;
if ((data_width < 0) || (data_height < 0)) {
if (err) {
std::stringstream ss;
ss << "Invalid data width or data height: " << data_width << ", "
<< data_height << std::endl;
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_DATA;
}
// Do not allow too large data_width and data_height. header invalid?
{
const int threshold = 1024 * 8192; // heuristics
if ((data_width > threshold) || (data_height > threshold)) {
if (err) {
std::stringstream ss;
ss << "data_with or data_height too large. data_width: " << data_width
<< ", "
<< "data_height = " << data_height << std::endl;
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_DATA;
}
}
size_t num_blocks = offsets.size();
std::vector<size_t> channel_offset_list;
int pixel_data_size = 0;
size_t channel_offset = 0;
if (!tinyexr::ComputeChannelLayout(&channel_offset_list, &pixel_data_size,
&channel_offset, num_channels,
exr_header->channels)) {
if (err) {
(*err) += "Failed to compute channel layout.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
bool invalid_data = false; // TODO(LTE): Use atomic lock for MT safety.
if (exr_header->tiled) {
// value check
if (exr_header->tile_size_x < 0) {
if (err) {
std::stringstream ss;
ss << "Invalid tile size x : " << exr_header->tile_size_x << "\n";
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_HEADER;
}
if (exr_header->tile_size_y < 0) {
if (err) {
std::stringstream ss;
ss << "Invalid tile size y : " << exr_header->tile_size_y << "\n";
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_HEADER;
}
size_t num_tiles = offsets.size(); // = # of blocks
exr_image->tiles = static_cast<EXRTile *>(
calloc(sizeof(EXRTile), static_cast<size_t>(num_tiles)));
int err_code = TINYEXR_SUCCESS;
#if (__cplusplus > 199711L) && (TINYEXR_USE_THREAD > 0)
std::vector<std::thread> workers;
std::atomic<size_t> tile_count(0);
int num_threads = std::max(1, int(std::thread::hardware_concurrency()));
if (num_threads > int(num_tiles)) {
num_threads = int(num_tiles);
}
for (int t = 0; t < num_threads; t++) {
workers.emplace_back(std::thread([&]() {
size_t tile_idx = 0;
while ((tile_idx = tile_count++) < num_tiles) {
#else
for (size_t tile_idx = 0; tile_idx < num_tiles; tile_idx++) {
#endif
// Allocate memory for each tile.
exr_image->tiles[tile_idx].images = tinyexr::AllocateImage(
num_channels, exr_header->channels,
exr_header->requested_pixel_types, exr_header->tile_size_x,
exr_header->tile_size_y);
// 16 byte: tile coordinates
// 4 byte : data size
// ~ : data(uncompressed or compressed)
if (offsets[tile_idx] + sizeof(int) * 5 > size) {
// TODO(LTE): atomic
if (err) {
(*err) += "Insufficient data size.\n";
}
err_code = TINYEXR_ERROR_INVALID_DATA;
break;
}
size_t data_size =
size_t(size - (offsets[tile_idx] + sizeof(int) * 5));
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[tile_idx]);
int tile_coordinates[4];
memcpy(tile_coordinates, data_ptr, sizeof(int) * 4);
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&tile_coordinates[0]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&tile_coordinates[1]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&tile_coordinates[2]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&tile_coordinates[3]));
// @todo{ LoD }
if (tile_coordinates[2] != 0) {
err_code = TINYEXR_ERROR_UNSUPPORTED_FEATURE;
break;
}
if (tile_coordinates[3] != 0) {
err_code = TINYEXR_ERROR_UNSUPPORTED_FEATURE;
break;
}
int data_len;
memcpy(&data_len, data_ptr + 16,
sizeof(int)); // 16 = sizeof(tile_coordinates)
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
if (data_len < 4 || size_t(data_len) > data_size) {
// TODO(LTE): atomic
if (err) {
(*err) += "Insufficient data length.\n";
}
err_code = TINYEXR_ERROR_INVALID_DATA;
break;
}
// Move to data addr: 20 = 16 + 4;
data_ptr += 20;
bool ret = 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);
if (!ret) {
// TODO(LTE): atomic
if (err) {
(*err) += "Failed to decode tile data.\n";
}
err_code = TINYEXR_ERROR_INVALID_DATA;
}
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];
#if (__cplusplus > 199711L) && (TINYEXR_USE_THREAD > 0)
}
}));
} // num_thread loop
for (auto &t : workers) {
t.join();
}
#else
}
#endif
if (err_code != TINYEXR_SUCCESS) {
return err_code;
}
exr_image->num_tiles = static_cast<int>(num_tiles);
} else { // scanline format
// Don't allow too large image(256GB * pixel_data_size or more). Workaround
// for #104.
size_t total_data_len =
size_t(data_width) * size_t(data_height) * size_t(num_channels);
const bool total_data_len_overflown =
sizeof(void *) == 8 ? (total_data_len >= 0x4000000000) : false;
if ((total_data_len == 0) || total_data_len_overflown) {
if (err) {
std::stringstream ss;
ss << "Image data size is zero or too large: width = " << data_width
<< ", height = " << data_height << ", channels = " << num_channels
<< std::endl;
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_DATA;
}
exr_image->images = tinyexr::AllocateImage(
num_channels, exr_header->channels, exr_header->requested_pixel_types,
data_width, data_height);
#if (__cplusplus > 199711L) && (TINYEXR_USE_THREAD > 0)
std::vector<std::thread> workers;
std::atomic<int> y_count(0);
int num_threads = std::max(1, int(std::thread::hardware_concurrency()));
if (num_threads > int(num_blocks)) {
num_threads = int(num_blocks);
}
for (int t = 0; t < num_threads; t++) {
workers.emplace_back(std::thread([&]() {
int y = 0;
while ((y = y_count++) < int(num_blocks)) {
#else
#if TINYEXR_USE_OPENMP
#pragma omp parallel for
#endif
for (int y = 0; y < static_cast<int>(num_blocks); y++) {
#endif
size_t y_idx = static_cast<size_t>(y);
if (offsets[y_idx] + sizeof(int) * 2 > size) {
invalid_data = true;
} else {
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(uncompressed or compressed)
size_t data_size =
size_t(size - (offsets[y_idx] + sizeof(int) * 2));
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y_idx]);
int line_no;
memcpy(&line_no, data_ptr, sizeof(int));
int data_len;
memcpy(&data_len, data_ptr + 4, sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&line_no));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
if (size_t(data_len) > data_size) {
invalid_data = true;
} else if ((line_no > (2 << 20)) || (line_no < -(2 << 20))) {
// Too large value. Assume this is invalid
// 2**20 = 1048576 = heuristic value.
invalid_data = true;
} else if (data_len == 0) {
// TODO(syoyo): May be ok to raise the threshold for example
// `data_len < 4`
invalid_data = true;
} else {
// line_no may be negative.
int end_line_no = (std::min)(line_no + num_scanline_blocks,
(exr_header->data_window[3] + 1));
int num_lines = end_line_no - line_no;
if (num_lines <= 0) {
invalid_data = true;
} else {
// Move to data addr: 8 = 4 + 4;
data_ptr += 8;
// Adjust line_no with data_window.bmin.y
// overflow check
tinyexr_int64 lno =
static_cast<tinyexr_int64>(line_no) -
static_cast<tinyexr_int64>(exr_header->data_window[1]);
if (lno > std::numeric_limits<int>::max()) {
line_no = -1; // invalid
} else if (lno < -std::numeric_limits<int>::max()) {
line_no = -1; // invalid
} else {
line_no -= exr_header->data_window[1];
}
if (line_no < 0) {
invalid_data = true;
} else {
if (!tinyexr::DecodePixelData(
exr_image->images, exr_header->requested_pixel_types,
data_ptr, static_cast<size_t>(data_len),
exr_header->compression_type, exr_header->line_order,
data_width, data_height, data_width, y, line_no,
num_lines, static_cast<size_t>(pixel_data_size),
static_cast<size_t>(
exr_header->num_custom_attributes),
exr_header->custom_attributes,
static_cast<size_t>(exr_header->num_channels),
exr_header->channels, channel_offset_list)) {
invalid_data = true;
}
}
}
}
}
#if (__cplusplus > 199711L) && (TINYEXR_USE_THREAD > 0)
}
}));
}
for (auto &t : workers) {
t.join();
}
#else
} // omp parallel
#endif
}
if (invalid_data) {
if (err) {
std::stringstream ss;
(*err) += "Invalid data found when decoding pixels.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
// Overwrite `pixel_type` with `requested_pixel_type`.
{
for (int c = 0; c < exr_header->num_channels; c++) {
exr_header->pixel_types[c] = exr_header->requested_pixel_types[c];
}
}
{
exr_image->num_channels = num_channels;
exr_image->width = data_width;
exr_image->height = data_height;
}
return TINYEXR_SUCCESS;
}
static bool ReconstructLineOffsets(
std::vector<tinyexr::tinyexr_uint64> *offsets, size_t n,
const unsigned char *head, const unsigned char *marker, const size_t size) {
assert(head < marker);
assert(offsets->size() == n);
for (size_t i = 0; i < n; i++) {
size_t offset = static_cast<size_t>(marker - head);
// Offset should not exceed whole EXR file/data size.
if ((offset + sizeof(tinyexr::tinyexr_uint64)) >= size) {
return false;
}
int y;
unsigned int data_len;
memcpy(&y, marker, sizeof(int));
memcpy(&data_len, marker + 4, sizeof(unsigned int));
if (data_len >= size) {
return false;
}
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
(*offsets)[i] = offset;
marker += data_len + 8; // 8 = 4 bytes(y) + 4 bytes(data_len)
}
return true;
}
static int DecodeEXRImage(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *head,
const unsigned char *marker, const size_t size,
const char **err) {
if (exr_image == NULL || exr_header == NULL || head == NULL ||
marker == NULL || (size <= tinyexr::kEXRVersionSize)) {
tinyexr::SetErrorMessage("Invalid argument for DecodeEXRImage().", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
int num_scanline_blocks = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanline_blocks = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanline_blocks = 16;
}
int data_width = exr_header->data_window[2] - exr_header->data_window[0];
if (data_width >= std::numeric_limits<int>::max()) {
// Issue 63
tinyexr::SetErrorMessage("Invalid data width value", err);
return TINYEXR_ERROR_INVALID_DATA;
}
data_width++;
int data_height = exr_header->data_window[3] - exr_header->data_window[1];
if (data_height >= std::numeric_limits<int>::max()) {
tinyexr::SetErrorMessage("Invalid data height value", err);
return TINYEXR_ERROR_INVALID_DATA;
}
data_height++;
if ((data_width < 0) || (data_height < 0)) {
tinyexr::SetErrorMessage("data width or data height is negative.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
// Do not allow too large data_width and data_height. header invalid?
{
const int threshold = 1024 * 8192; // heuristics
if (data_width > threshold) {
tinyexr::SetErrorMessage("data width too large.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
if (data_height > threshold) {
tinyexr::SetErrorMessage("data height too large.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
}
// Read offset tables.
size_t num_blocks = 0;
if (exr_header->chunk_count > 0) {
// Use `chunkCount` attribute.
num_blocks = static_cast<size_t>(exr_header->chunk_count);
} else if (exr_header->tiled) {
// @todo { LoD }
size_t num_x_tiles = static_cast<size_t>(data_width) /
static_cast<size_t>(exr_header->tile_size_x);
if (num_x_tiles * static_cast<size_t>(exr_header->tile_size_x) <
static_cast<size_t>(data_width)) {
num_x_tiles++;
}
size_t num_y_tiles = static_cast<size_t>(data_height) /
static_cast<size_t>(exr_header->tile_size_y);
if (num_y_tiles * static_cast<size_t>(exr_header->tile_size_y) <
static_cast<size_t>(data_height)) {
num_y_tiles++;
}
num_blocks = num_x_tiles * num_y_tiles;
} else {
num_blocks = static_cast<size_t>(data_height) /
static_cast<size_t>(num_scanline_blocks);
if (num_blocks * static_cast<size_t>(num_scanline_blocks) <
static_cast<size_t>(data_height)) {
num_blocks++;
}
}
std::vector<tinyexr::tinyexr_uint64> offsets(num_blocks);
for (size_t y = 0; y < num_blocks; y++) {
tinyexr::tinyexr_uint64 offset;
// Issue #81
if ((marker + sizeof(tinyexr_uint64)) >= (head + size)) {
tinyexr::SetErrorMessage("Insufficient data size in offset table.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
memcpy(&offset, marker, sizeof(tinyexr::tinyexr_uint64));
tinyexr::swap8(&offset);
if (offset >= size) {
tinyexr::SetErrorMessage("Invalid offset value in DecodeEXRImage.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
marker += sizeof(tinyexr::tinyexr_uint64); // = 8
offsets[y] = offset;
}
// If line offsets are invalid, we try to reconstruct it.
// See OpenEXR/IlmImf/ImfScanLineInputFile.cpp::readLineOffsets() for details.
for (size_t y = 0; y < num_blocks; y++) {
if (offsets[y] <= 0) {
// TODO(syoyo) Report as warning?
// if (err) {
// stringstream ss;
// ss << "Incomplete lineOffsets." << std::endl;
// (*err) += ss.str();
//}
bool ret =
ReconstructLineOffsets(&offsets, num_blocks, head, marker, size);
if (ret) {
// OK
break;
} else {
tinyexr::SetErrorMessage(
"Cannot reconstruct lineOffset table in DecodeEXRImage.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
}
}
{
std::string e;
int ret = DecodeChunk(exr_image, exr_header, offsets, head, size, &e);
if (ret != TINYEXR_SUCCESS) {
if (!e.empty()) {
tinyexr::SetErrorMessage(e, err);
}
#if 1
FreeEXRImage(exr_image);
#else
// release memory(if exists)
if ((exr_header->num_channels > 0) && exr_image && exr_image->images) {
for (size_t c = 0; c < size_t(exr_header->num_channels); c++) {
if (exr_image->images[c]) {
free(exr_image->images[c]);
exr_image->images[c] = NULL;
}
}
free(exr_image->images);
exr_image->images = NULL;
}
#endif
}
return ret;
}
}
static void GetLayers(const EXRHeader& exr_header, std::vector<std::string>& layer_names) {
// Naive implementation
// Group channels by layers
// go over all channel names, split by periods
// collect unique names
layer_names.clear();
for (int c = 0; c < exr_header.num_channels; c++) {
std::string full_name(exr_header.channels[c].name);
const size_t pos = full_name.find_last_of('.');
if (pos != std::string::npos && pos != 0 && pos + 1 < full_name.size()) {
full_name.erase(pos);
if (std::find(layer_names.begin(), layer_names.end(), full_name) == layer_names.end())
layer_names.push_back(full_name);
}
}
}
struct LayerChannel {
explicit LayerChannel (size_t i, std::string n)
: index(i)
, name(n)
{}
size_t index;
std::string name;
};
static void ChannelsInLayer(const EXRHeader& exr_header, const std::string layer_name, std::vector<LayerChannel>& channels) {
channels.clear();
for (int c = 0; c < exr_header.num_channels; c++) {
std::string ch_name(exr_header.channels[c].name);
if (layer_name.empty()) {
const size_t pos = ch_name.find_last_of('.');
if (pos != std::string::npos && pos < ch_name.size()) {
ch_name = ch_name.substr(pos + 1);
}
} else {
const size_t pos = ch_name.find(layer_name + '.');
if (pos == std::string::npos)
continue;
if (pos == 0) {
ch_name = ch_name.substr(layer_name.size() + 1);
}
}
LayerChannel ch(size_t(c), ch_name);
channels.push_back(ch);
}
}
} // namespace tinyexr
int EXRLayers(const char *filename, const char **layer_names[], int *num_layers, const char **err) {
EXRVersion exr_version;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
{
int ret = ParseEXRVersionFromFile(&exr_version, filename);
if (ret != TINYEXR_SUCCESS) {
tinyexr::SetErrorMessage("Invalid EXR header.", err);
return ret;
}
if (exr_version.multipart || exr_version.non_image) {
tinyexr::SetErrorMessage(
"Loading multipart or DeepImage is not supported in LoadEXR() API",
err);
return TINYEXR_ERROR_INVALID_DATA; // @fixme.
}
}
int ret = ParseEXRHeaderFromFile(&exr_header, &exr_version, filename, err);
if (ret != TINYEXR_SUCCESS) {
FreeEXRHeader(&exr_header);
return ret;
}
std::vector<std::string> layer_vec;
tinyexr::GetLayers(exr_header, layer_vec);
(*num_layers) = int(layer_vec.size());
(*layer_names) = static_cast<const char **>(
malloc(sizeof(const char *) * static_cast<size_t>(layer_vec.size())));
for (size_t c = 0; c < static_cast<size_t>(layer_vec.size()); c++) {
#ifdef _MSC_VER
(*layer_names)[c] = _strdup(layer_vec[c].c_str());
#else
(*layer_names)[c] = strdup(layer_vec[c].c_str());
#endif
}
FreeEXRHeader(&exr_header);
return TINYEXR_SUCCESS;
}
int LoadEXR(float **out_rgba, int *width, int *height, const char *filename,
const char **err) {
return LoadEXRWithLayer(out_rgba, width, height, filename, /* layername */NULL, err);
}
int LoadEXRWithLayer(float **out_rgba, int *width, int *height, const char *filename, const char *layername,
const char **err) {
if (out_rgba == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXR()", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRVersion exr_version;
EXRImage exr_image;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
InitEXRImage(&exr_image);
{
int ret = ParseEXRVersionFromFile(&exr_version, filename);
if (ret != TINYEXR_SUCCESS) {
std::stringstream ss;
ss << "Failed to open EXR file or read version info from EXR file. code(" << ret << ")";
tinyexr::SetErrorMessage(ss.str(), err);
return ret;
}
if (exr_version.multipart || exr_version.non_image) {
tinyexr::SetErrorMessage(
"Loading multipart or DeepImage is not supported in LoadEXR() API",
err);
return TINYEXR_ERROR_INVALID_DATA; // @fixme.
}
}
{
int ret = ParseEXRHeaderFromFile(&exr_header, &exr_version, filename, err);
if (ret != TINYEXR_SUCCESS) {
FreeEXRHeader(&exr_header);
return ret;
}
}
// Read HALF channel as FLOAT.
for (int i = 0; i < exr_header.num_channels; i++) {
if (exr_header.pixel_types[i] == TINYEXR_PIXELTYPE_HALF) {
exr_header.requested_pixel_types[i] = TINYEXR_PIXELTYPE_FLOAT;
}
}
// TODO: Probably limit loading to layers (channels) selected by layer index
{
int ret = LoadEXRImageFromFile(&exr_image, &exr_header, filename, err);
if (ret != TINYEXR_SUCCESS) {
FreeEXRHeader(&exr_header);
return ret;
}
}
// RGBA
int idxR = -1;
int idxG = -1;
int idxB = -1;
int idxA = -1;
std::vector<std::string> layer_names;
tinyexr::GetLayers(exr_header, layer_names);
std::vector<tinyexr::LayerChannel> channels;
tinyexr::ChannelsInLayer(exr_header, layername == NULL ? "" : std::string(layername), channels);
if (channels.size() < 1) {
tinyexr::SetErrorMessage("Layer Not Found", err);
FreeEXRHeader(&exr_header);
FreeEXRImage(&exr_image);
return TINYEXR_ERROR_LAYER_NOT_FOUND;
}
size_t ch_count = channels.size() < 4 ? channels.size() : 4;
for (size_t c = 0; c < ch_count; c++) {
const tinyexr::LayerChannel &ch = channels[c];
if (ch.name == "R") {
idxR = int(ch.index);
}
else if (ch.name == "G") {
idxG = int(ch.index);
}
else if (ch.name == "B") {
idxB = int(ch.index);
}
else if (ch.name == "A") {
idxA = int(ch.index);
}
}
if (channels.size() == 1) {
int chIdx = int(channels.front().index);
// Grayscale channel only.
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++) {
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[chIdx][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[chIdx][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[chIdx][srcIdx];
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[chIdx][srcIdx];
}
}
}
} else {
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
const float val = reinterpret_cast<float **>(exr_image.images)[chIdx][i];
(*out_rgba)[4 * i + 0] = val;
(*out_rgba)[4 * i + 1] = val;
(*out_rgba)[4 * i + 2] = val;
(*out_rgba)[4 * i + 3] = val;
}
}
} else {
// Assume RGB(A)
if (idxR == -1) {
tinyexr::SetErrorMessage("R channel not found", err);
FreeEXRHeader(&exr_header);
FreeEXRImage(&exr_image);
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
tinyexr::SetErrorMessage("G channel not found", err);
FreeEXRHeader(&exr_header);
FreeEXRImage(&exr_image);
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
tinyexr::SetErrorMessage("B channel not found", err);
FreeEXRHeader(&exr_header);
FreeEXRImage(&exr_image);
return TINYEXR_ERROR_INVALID_DATA;
}
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++) {
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[idxR][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[idxG][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[idxB][srcIdx];
if (idxA != -1) {
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[idxA][srcIdx];
} else {
(*out_rgba)[4 * idx + 3] = 1.0;
}
}
}
}
} else {
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
(*out_rgba)[4 * i + 0] =
reinterpret_cast<float **>(exr_image.images)[idxR][i];
(*out_rgba)[4 * i + 1] =
reinterpret_cast<float **>(exr_image.images)[idxG][i];
(*out_rgba)[4 * i + 2] =
reinterpret_cast<float **>(exr_image.images)[idxB][i];
if (idxA != -1) {
(*out_rgba)[4 * i + 3] =
reinterpret_cast<float **>(exr_image.images)[idxA][i];
} else {
(*out_rgba)[4 * i + 3] = 1.0;
}
}
}
}
(*width) = exr_image.width;
(*height) = exr_image.height;
FreeEXRHeader(&exr_header);
FreeEXRImage(&exr_image);
return TINYEXR_SUCCESS;
}
int IsEXR(const char *filename) {
EXRVersion exr_version;
int ret = ParseEXRVersionFromFile(&exr_version, filename);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
return TINYEXR_SUCCESS;
}
int ParseEXRHeaderFromMemory(EXRHeader *exr_header, const EXRVersion *version,
const unsigned char *memory, size_t size,
const char **err) {
if (memory == NULL || exr_header == NULL) {
tinyexr::SetErrorMessage(
"Invalid argument. `memory` or `exr_header` argument is null in "
"ParseEXRHeaderFromMemory()",
err);
// Invalid argument
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
tinyexr::SetErrorMessage("Insufficient header/data size.\n", err);
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory + tinyexr::kEXRVersionSize;
size_t marker_size = size - tinyexr::kEXRVersionSize;
tinyexr::HeaderInfo info;
info.clear();
std::string err_str;
int ret = ParseEXRHeader(&info, NULL, version, &err_str, marker, marker_size);
if (ret != TINYEXR_SUCCESS) {
if (err && !err_str.empty()) {
tinyexr::SetErrorMessage(err_str, err);
}
}
ConvertHeader(exr_header, info);
// transfoer `tiled` from version.
exr_header->tiled = version->tiled;
return ret;
}
int LoadEXRFromMemory(float **out_rgba, int *width, int *height,
const unsigned char *memory, size_t size,
const char **err) {
if (out_rgba == NULL || memory == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXRFromMemory", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRVersion exr_version;
EXRImage exr_image;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
int ret = ParseEXRVersionFromMemory(&exr_version, memory, size);
if (ret != TINYEXR_SUCCESS) {
std::stringstream ss;
ss << "Failed to parse EXR version. code(" << ret << ")";
tinyexr::SetErrorMessage(ss.str(), err);
return ret;
}
ret = ParseEXRHeaderFromMemory(&exr_header, &exr_version, memory, size, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
// Read HALF channel as FLOAT.
for (int i = 0; i < exr_header.num_channels; i++) {
if (exr_header.pixel_types[i] == TINYEXR_PIXELTYPE_HALF) {
exr_header.requested_pixel_types[i] = TINYEXR_PIXELTYPE_FLOAT;
}
}
InitEXRImage(&exr_image);
ret = LoadEXRImageFromMemory(&exr_image, &exr_header, memory, size, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
// RGBA
int idxR = -1;
int idxG = -1;
int idxB = -1;
int idxA = -1;
for (int c = 0; c < exr_header.num_channels; c++) {
if (strcmp(exr_header.channels[c].name, "R") == 0) {
idxR = c;
} else if (strcmp(exr_header.channels[c].name, "G") == 0) {
idxG = c;
} else if (strcmp(exr_header.channels[c].name, "B") == 0) {
idxB = c;
} else if (strcmp(exr_header.channels[c].name, "A") == 0) {
idxA = c;
}
}
// TODO(syoyo): Refactor removing same code as used in LoadEXR().
if (exr_header.num_channels == 1) {
// Grayscale channel only.
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++) {
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[0][srcIdx];
}
}
}
} else {
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
const float val = reinterpret_cast<float **>(exr_image.images)[0][i];
(*out_rgba)[4 * i + 0] = val;
(*out_rgba)[4 * i + 1] = val;
(*out_rgba)[4 * i + 2] = val;
(*out_rgba)[4 * i + 3] = val;
}
}
} else {
// TODO(syoyo): Support non RGBA image.
if (idxR == -1) {
tinyexr::SetErrorMessage("R channel not found", err);
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
tinyexr::SetErrorMessage("G channel not found", err);
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
tinyexr::SetErrorMessage("B channel not found", err);
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++)
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[idxR][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[idxG][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[idxB][srcIdx];
if (idxA != -1) {
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[idxA][srcIdx];
} else {
(*out_rgba)[4 * idx + 3] = 1.0;
}
}
}
} else {
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
(*out_rgba)[4 * i + 0] =
reinterpret_cast<float **>(exr_image.images)[idxR][i];
(*out_rgba)[4 * i + 1] =
reinterpret_cast<float **>(exr_image.images)[idxG][i];
(*out_rgba)[4 * i + 2] =
reinterpret_cast<float **>(exr_image.images)[idxB][i];
if (idxA != -1) {
(*out_rgba)[4 * i + 3] =
reinterpret_cast<float **>(exr_image.images)[idxA][i];
} else {
(*out_rgba)[4 * i + 3] = 1.0;
}
}
}
}
(*width) = exr_image.width;
(*height) = exr_image.height;
FreeEXRHeader(&exr_header);
FreeEXRImage(&exr_image);
return TINYEXR_SUCCESS;
}
int LoadEXRImageFromFile(EXRImage *exr_image, const EXRHeader *exr_header,
const char *filename, const char **err) {
if (exr_image == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXRImageFromFile", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
FILE *fp = NULL;
#ifdef _WIN32
#if defined(_MSC_VER) || defined(__MINGW32__) // MSVC, MinGW gcc or clang
errno_t errcode = _wfopen_s(&fp, tinyexr::UTF8ToWchar(filename).c_str(), L"rb");
if (errcode != 0) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
// TODO(syoyo): return wfopen_s erro code
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#else
// Unknown compiler
fp = fopen(filename, "rb");
#endif
#else
fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
if (filesize < 16) {
tinyexr::SetErrorMessage("File size too short " + std::string(filename),
err);
return TINYEXR_ERROR_INVALID_FILE;
}
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
(void)ret;
}
return LoadEXRImageFromMemory(exr_image, exr_header, &buf.at(0), filesize,
err);
}
int LoadEXRImageFromMemory(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *memory, const size_t size,
const char **err) {
if (exr_image == NULL || memory == NULL ||
(size < tinyexr::kEXRVersionSize)) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXRImageFromMemory",
err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (exr_header->header_len == 0) {
tinyexr::SetErrorMessage("EXRHeader variable is not initialized.", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
const unsigned char *head = memory;
const unsigned char *marker = reinterpret_cast<const unsigned char *>(
memory + exr_header->header_len +
8); // +8 for magic number + version header.
return tinyexr::DecodeEXRImage(exr_image, exr_header, head, marker, size,
err);
}
size_t SaveEXRImageToMemory(const EXRImage *exr_image,
const EXRHeader *exr_header,
unsigned char **memory_out, const char **err) {
if (exr_image == NULL || memory_out == NULL ||
exr_header->compression_type < 0) {
tinyexr::SetErrorMessage("Invalid argument for SaveEXRImageToMemory", err);
return 0;
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
tinyexr::SetErrorMessage("PIZ compression is not supported in this build",
err);
return 0;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
tinyexr::SetErrorMessage("ZFP compression is not supported in this build",
err);
return 0;
}
#endif
#if TINYEXR_USE_ZFP
for (size_t i = 0; i < static_cast<size_t>(exr_header->num_channels); i++) {
if (exr_header->requested_pixel_types[i] != TINYEXR_PIXELTYPE_FLOAT) {
tinyexr::SetErrorMessage("Pixel type must be FLOAT for ZFP compression",
err);
return 0;
}
}
#endif
std::vector<unsigned char> memory;
// Header
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
memory.insert(memory.end(), header, header + 4);
}
// Version, scanline.
{
char marker[] = {2, 0, 0, 0};
/* @todo
if (exr_header->tiled) {
marker[1] |= 0x2;
}
if (exr_header->long_name) {
marker[1] |= 0x4;
}
if (exr_header->non_image) {
marker[1] |= 0x8;
}
if (exr_header->multipart) {
marker[1] |= 0x10;
}
*/
memory.insert(memory.end(), marker, marker + 4);
}
int num_scanlines = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanlines = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanlines = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanlines = 16;
}
// Write attributes.
std::vector<tinyexr::ChannelInfo> channels;
{
std::vector<unsigned char> data;
for (int c = 0; c < exr_header->num_channels; c++) {
tinyexr::ChannelInfo info;
info.p_linear = 0;
info.pixel_type = exr_header->requested_pixel_types[c];
info.x_sampling = 1;
info.y_sampling = 1;
info.name = std::string(exr_header->channels[c].name);
channels.push_back(info);
}
tinyexr::WriteChannelInfo(data, channels);
tinyexr::WriteAttributeToMemory(&memory, "channels", "chlist", &data.at(0),
static_cast<int>(data.size()));
}
{
int comp = exr_header->compression_type;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&comp));
tinyexr::WriteAttributeToMemory(
&memory, "compression", "compression",
reinterpret_cast<const unsigned char *>(&comp), 1);
}
{
int data[4] = {0, 0, exr_image->width - 1, exr_image->height - 1};
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[3]));
tinyexr::WriteAttributeToMemory(
&memory, "dataWindow", "box2i",
reinterpret_cast<const unsigned char *>(data), sizeof(int) * 4);
tinyexr::WriteAttributeToMemory(
&memory, "displayWindow", "box2i",
reinterpret_cast<const unsigned char *>(data), sizeof(int) * 4);
}
{
unsigned char line_order = 0; // @fixme { read line_order from EXRHeader }
tinyexr::WriteAttributeToMemory(&memory, "lineOrder", "lineOrder",
&line_order, 1);
}
{
float aspectRatio = 1.0f;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&aspectRatio));
tinyexr::WriteAttributeToMemory(
&memory, "pixelAspectRatio", "float",
reinterpret_cast<const unsigned char *>(&aspectRatio), sizeof(float));
}
{
float center[2] = {0.0f, 0.0f};
tinyexr::swap4(reinterpret_cast<unsigned int *>(¢er[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(¢er[1]));
tinyexr::WriteAttributeToMemory(
&memory, "screenWindowCenter", "v2f",
reinterpret_cast<const unsigned char *>(center), 2 * sizeof(float));
}
{
float w = static_cast<float>(exr_image->width);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&w));
tinyexr::WriteAttributeToMemory(&memory, "screenWindowWidth", "float",
reinterpret_cast<const unsigned char *>(&w),
sizeof(float));
}
// Custom attributes
if (exr_header->num_custom_attributes > 0) {
for (int i = 0; i < exr_header->num_custom_attributes; i++) {
tinyexr::WriteAttributeToMemory(
&memory, exr_header->custom_attributes[i].name,
exr_header->custom_attributes[i].type,
reinterpret_cast<const unsigned char *>(
exr_header->custom_attributes[i].value),
exr_header->custom_attributes[i].size);
}
}
{ // end of header
unsigned char e = 0;
memory.push_back(e);
}
int num_blocks = exr_image->height / num_scanlines;
if (num_blocks * num_scanlines < exr_image->height) {
num_blocks++;
}
std::vector<tinyexr::tinyexr_uint64> offsets(static_cast<size_t>(num_blocks));
size_t headerSize = memory.size();
tinyexr::tinyexr_uint64 offset =
headerSize +
static_cast<size_t>(num_blocks) *
sizeof(
tinyexr::tinyexr_int64); // sizeof(header) + sizeof(offsetTable)
std::vector<std::vector<unsigned char> > data_list(
static_cast<size_t>(num_blocks));
std::vector<size_t> channel_offset_list(
static_cast<size_t>(exr_header->num_channels));
int pixel_data_size = 0;
size_t channel_offset = 0;
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
channel_offset_list[c] = channel_offset;
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
pixel_data_size += sizeof(unsigned short);
channel_offset += sizeof(unsigned short);
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_FLOAT) {
pixel_data_size += sizeof(float);
channel_offset += sizeof(float);
} else if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT) {
pixel_data_size += sizeof(unsigned int);
channel_offset += sizeof(unsigned int);
} else {
assert(0);
}
}
#if TINYEXR_USE_ZFP
tinyexr::ZFPCompressionParam zfp_compression_param;
// Use ZFP compression parameter from custom attributes(if such a parameter
// exists)
{
std::string e;
bool ret = tinyexr::FindZFPCompressionParam(
&zfp_compression_param, exr_header->custom_attributes,
exr_header->num_custom_attributes, &e);
if (!ret) {
// Use predefined compression parameter.
zfp_compression_param.type = 0;
zfp_compression_param.rate = 2;
}
}
#endif
// TODO(LTE): C++11 thread
// Use signed int since some OpenMP compiler doesn't allow unsigned type for
// `parallel for`
#if TINYEXR_USE_OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < num_blocks; i++) {
size_t ii = static_cast<size_t>(i);
int start_y = num_scanlines * i;
int endY = (std::min)(num_scanlines * (i + 1), exr_image->height);
int h = endY - start_y;
std::vector<unsigned char> buf(
static_cast<size_t>(exr_image->width * h * pixel_data_size));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
for (int y = 0; y < h; y++) {
// Assume increasing Y
float *line_ptr = reinterpret_cast<float *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
for (int x = 0; x < exr_image->width; x++) {
tinyexr::FP16 h16;
h16.u = reinterpret_cast<unsigned short **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::FP32 f32 = half_to_float(h16);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&f32.f));
// line_ptr[x] = f32.f;
tinyexr::cpy4(line_ptr + x, &(f32.f));
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_HALF) {
for (int y = 0; y < h; y++) {
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(static_cast<size_t>(pixel_data_size * y *
exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
for (int x = 0; x < exr_image->width; x++) {
unsigned short val = reinterpret_cast<unsigned short **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap2(&val);
// line_ptr[x] = val;
tinyexr::cpy2(line_ptr + x, &val);
}
}
} else {
assert(0);
}
} else if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
for (int y = 0; y < h; y++) {
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(static_cast<size_t>(pixel_data_size * y *
exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
for (int x = 0; x < exr_image->width; x++) {
tinyexr::FP32 f32;
f32.f = reinterpret_cast<float **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::FP16 h16;
h16 = float_to_half_full(f32);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&h16.u));
// line_ptr[x] = h16.u;
tinyexr::cpy2(line_ptr + x, &(h16.u));
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_FLOAT) {
for (int y = 0; y < h; y++) {
// Assume increasing Y
float *line_ptr = reinterpret_cast<float *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
for (int x = 0; x < exr_image->width; x++) {
float val = reinterpret_cast<float **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
// line_ptr[x] = val;
tinyexr::cpy4(line_ptr + x, &val);
}
}
} else {
assert(0);
}
} else if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_UINT) {
for (int y = 0; y < h; y++) {
// Assume increasing Y
unsigned int *line_ptr = reinterpret_cast<unsigned int *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] * static_cast<size_t>(exr_image->width)));
for (int x = 0; x < exr_image->width; x++) {
unsigned int val = reinterpret_cast<unsigned int **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap4(&val);
// line_ptr[x] = val;
tinyexr::cpy4(line_ptr + x, &val);
}
}
}
}
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_NONE) {
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(uncompressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(buf.size());
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), buf.begin(),
buf.begin() + data_len);
} else if ((exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP)) {
#if TINYEXR_USE_MINIZ
std::vector<unsigned char> block(tinyexr::miniz::mz_compressBound(
static_cast<unsigned long>(buf.size())));
#else
std::vector<unsigned char> block(
compressBound(static_cast<uLong>(buf.size())));
#endif
tinyexr::tinyexr_uint64 outSize = block.size();
tinyexr::CompressZip(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
static_cast<unsigned long>(buf.size()));
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(outSize); // truncate
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_RLE) {
// (buf.size() * 3) / 2 would be enough.
std::vector<unsigned char> block((buf.size() * 3) / 2);
tinyexr::tinyexr_uint64 outSize = block.size();
tinyexr::CompressRle(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
static_cast<unsigned long>(buf.size()));
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(outSize); // truncate
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
#if TINYEXR_USE_PIZ
unsigned int bufLen =
8192 + static_cast<unsigned int>(
2 * static_cast<unsigned int>(
buf.size())); // @fixme { compute good bound. }
std::vector<unsigned char> block(bufLen);
unsigned int outSize = static_cast<unsigned int>(block.size());
CompressPiz(&block.at(0), &outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
buf.size(), channels, exr_image->width, h);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = outSize;
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
#else
assert(0);
#endif
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
std::vector<unsigned char> block;
unsigned int outSize;
tinyexr::CompressZfp(
&block, &outSize, reinterpret_cast<const float *>(&buf.at(0)),
exr_image->width, h, exr_header->num_channels, zfp_compression_param);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = outSize;
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
#else
assert(0);
#endif
} else {
assert(0);
}
} // omp parallel
for (size_t i = 0; i < static_cast<size_t>(num_blocks); i++) {
offsets[i] = offset;
tinyexr::swap8(reinterpret_cast<tinyexr::tinyexr_uint64 *>(&offsets[i]));
offset += data_list[i].size();
}
size_t totalSize = static_cast<size_t>(offset);
{
memory.insert(
memory.end(), reinterpret_cast<unsigned char *>(&offsets.at(0)),
reinterpret_cast<unsigned char *>(&offsets.at(0)) +
sizeof(tinyexr::tinyexr_uint64) * static_cast<size_t>(num_blocks));
}
if (memory.size() == 0) {
tinyexr::SetErrorMessage("Output memory size is zero", err);
return 0;
}
(*memory_out) = static_cast<unsigned char *>(malloc(totalSize));
memcpy((*memory_out), &memory.at(0), memory.size());
unsigned char *memory_ptr = *memory_out + memory.size();
for (size_t i = 0; i < static_cast<size_t>(num_blocks); i++) {
memcpy(memory_ptr, &data_list[i].at(0), data_list[i].size());
memory_ptr += data_list[i].size();
}
return totalSize; // OK
}
int SaveEXRImageToFile(const EXRImage *exr_image, const EXRHeader *exr_header,
const char *filename, const char **err) {
if (exr_image == NULL || filename == NULL ||
exr_header->compression_type < 0) {
tinyexr::SetErrorMessage("Invalid argument for SaveEXRImageToFile", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
tinyexr::SetErrorMessage("PIZ compression is not supported in this build",
err);
return TINYEXR_ERROR_UNSUPPORTED_FEATURE;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
tinyexr::SetErrorMessage("ZFP compression is not supported in this build",
err);
return TINYEXR_ERROR_UNSUPPORTED_FEATURE;
}
#endif
FILE *fp = NULL;
#ifdef _WIN32
#if defined(_MSC_VER) || defined(__MINGW32__) // MSVC, MinGW gcc or clang
errno_t errcode = _wfopen_s(&fp, tinyexr::UTF8ToWchar(filename).c_str(), L"wb");
if (errcode != 0) {
tinyexr::SetErrorMessage("Cannot write a file: " + std::string(filename), err);
return TINYEXR_ERROR_CANT_WRITE_FILE;
}
#else
// Unknown compiler
fp = fopen(filename, "wb");
#endif
#else
fp = fopen(filename, "wb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot write a file: " + std::string(filename), err);
return TINYEXR_ERROR_CANT_WRITE_FILE;
}
unsigned char *mem = NULL;
size_t mem_size = SaveEXRImageToMemory(exr_image, exr_header, &mem, err);
if (mem_size == 0) {
return TINYEXR_ERROR_SERIALZATION_FAILED;
}
size_t written_size = 0;
if ((mem_size > 0) && mem) {
written_size = fwrite(mem, 1, mem_size, fp);
}
free(mem);
fclose(fp);
if (written_size != mem_size) {
tinyexr::SetErrorMessage("Cannot write a file", err);
return TINYEXR_ERROR_CANT_WRITE_FILE;
}
return TINYEXR_SUCCESS;
}
int LoadDeepEXR(DeepImage *deep_image, const char *filename, const char **err) {
if (deep_image == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadDeepEXR", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
#if defined(_MSC_VER) || defined(__MINGW32__) // MSVC, MinGW gcc or clang
errno_t errcode = _wfopen_s(&fp, tinyexr::UTF8ToWchar(filename).c_str(), L"rb");
if (errcode != 0) {
tinyexr::SetErrorMessage("Cannot read a file " + std::string(filename),
err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#else
// Unknown compiler
fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read a file " + std::string(filename),
err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#else
FILE *fp = fopen(filename, "rb");
if (!fp) {
tinyexr::SetErrorMessage("Cannot read a file " + std::string(filename),
err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#endif
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
if (filesize == 0) {
fclose(fp);
tinyexr::SetErrorMessage("File size is zero : " + std::string(filename),
err);
return TINYEXR_ERROR_INVALID_FILE;
}
std::vector<char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
(void)ret;
}
fclose(fp);
const char *head = &buf[0];
const char *marker = &buf[0];
// Header check.
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
if (memcmp(marker, header, 4) != 0) {
tinyexr::SetErrorMessage("Invalid magic number", err);
return TINYEXR_ERROR_INVALID_MAGIC_NUMBER;
}
marker += 4;
}
// Version, scanline.
{
// ver 2.0, scanline, deep bit on(0x800)
// must be [2, 0, 0, 0]
if (marker[0] != 2 || marker[1] != 8 || marker[2] != 0 || marker[3] != 0) {
tinyexr::SetErrorMessage("Unsupported version or scanline", err);
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
marker += 4;
}
int dx = -1;
int dy = -1;
int dw = -1;
int dh = -1;
int num_scanline_blocks = 1; // 16 for ZIP compression.
int compression_type = -1;
int num_channels = -1;
std::vector<tinyexr::ChannelInfo> channels;
// Read attributes
size_t size = filesize - tinyexr::kEXRVersionSize;
for (;;) {
if (0 == size) {
return TINYEXR_ERROR_INVALID_DATA;
} else if (marker[0] == '\0') {
marker++;
size--;
break;
}
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
size_t marker_size;
if (!tinyexr::ReadAttribute(&attr_name, &attr_type, &data, &marker_size,
marker, size)) {
std::stringstream ss;
ss << "Failed to parse attribute\n";
tinyexr::SetErrorMessage(ss.str(), err);
return TINYEXR_ERROR_INVALID_DATA;
}
marker += marker_size;
size -= marker_size;
if (attr_name.compare("compression") == 0) {
compression_type = data[0];
if (compression_type > TINYEXR_COMPRESSIONTYPE_PIZ) {
std::stringstream ss;
ss << "Unsupported compression type : " << compression_type;
tinyexr::SetErrorMessage(ss.str(), err);
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
if (compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
}
} else if (attr_name.compare("channels") == 0) {
// name: zero-terminated string, from 1 to 255 bytes long
// pixel type: int, possible values are: UINT = 0 HALF = 1 FLOAT = 2
// pLinear: unsigned char, possible values are 0 and 1
// reserved: three chars, should be zero
// xSampling: int
// ySampling: int
if (!tinyexr::ReadChannelInfo(channels, data)) {
tinyexr::SetErrorMessage("Failed to parse channel info", err);
return TINYEXR_ERROR_INVALID_DATA;
}
num_channels = static_cast<int>(channels.size());
if (num_channels < 1) {
tinyexr::SetErrorMessage("Invalid channels format", err);
return TINYEXR_ERROR_INVALID_DATA;
}
} else if (attr_name.compare("dataWindow") == 0) {
memcpy(&dx, &data.at(0), sizeof(int));
memcpy(&dy, &data.at(4), sizeof(int));
memcpy(&dw, &data.at(8), sizeof(int));
memcpy(&dh, &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dx));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dy));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dw));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dh));
} else if (attr_name.compare("displayWindow") == 0) {
int x;
int y;
int w;
int h;
memcpy(&x, &data.at(0), sizeof(int));
memcpy(&y, &data.at(4), sizeof(int));
memcpy(&w, &data.at(8), sizeof(int));
memcpy(&h, &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&x));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&w));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&h));
}
}
assert(dx >= 0);
assert(dy >= 0);
assert(dw >= 0);
assert(dh >= 0);
assert(num_channels >= 1);
int data_width = dw - dx + 1;
int data_height = dh - dy + 1;
std::vector<float> image(
static_cast<size_t>(data_width * data_height * 4)); // 4 = RGBA
// Read offset tables.
int num_blocks = data_height / num_scanline_blocks;
if (num_blocks * num_scanline_blocks < data_height) {
num_blocks++;
}
std::vector<tinyexr::tinyexr_int64> offsets(static_cast<size_t>(num_blocks));
for (size_t y = 0; y < static_cast<size_t>(num_blocks); y++) {
tinyexr::tinyexr_int64 offset;
memcpy(&offset, marker, sizeof(tinyexr::tinyexr_int64));
tinyexr::swap8(reinterpret_cast<tinyexr::tinyexr_uint64 *>(&offset));
marker += sizeof(tinyexr::tinyexr_int64); // = 8
offsets[y] = offset;
}
#if TINYEXR_USE_PIZ
if ((compression_type == TINYEXR_COMPRESSIONTYPE_NONE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_RLE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_PIZ)) {
#else
if ((compression_type == TINYEXR_COMPRESSIONTYPE_NONE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_RLE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIP)) {
#endif
// OK
} else {
tinyexr::SetErrorMessage("Unsupported compression format", err);
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
deep_image->image = static_cast<float ***>(
malloc(sizeof(float **) * static_cast<size_t>(num_channels)));
for (int c = 0; c < num_channels; c++) {
deep_image->image[c] = static_cast<float **>(
malloc(sizeof(float *) * static_cast<size_t>(data_height)));
for (int y = 0; y < data_height; y++) {
}
}
deep_image->offset_table = static_cast<int **>(
malloc(sizeof(int *) * static_cast<size_t>(data_height)));
for (int y = 0; y < data_height; y++) {
deep_image->offset_table[y] = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(data_width)));
}
for (size_t y = 0; y < static_cast<size_t>(num_blocks); y++) {
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y]);
// int: y coordinate
// int64: packed size of pixel offset table
// int64: packed size of sample data
// int64: unpacked size of sample data
// compressed pixel offset table
// compressed sample data
int line_no;
tinyexr::tinyexr_int64 packedOffsetTableSize;
tinyexr::tinyexr_int64 packedSampleDataSize;
tinyexr::tinyexr_int64 unpackedSampleDataSize;
memcpy(&line_no, data_ptr, sizeof(int));
memcpy(&packedOffsetTableSize, data_ptr + 4,
sizeof(tinyexr::tinyexr_int64));
memcpy(&packedSampleDataSize, data_ptr + 12,
sizeof(tinyexr::tinyexr_int64));
memcpy(&unpackedSampleDataSize, data_ptr + 20,
sizeof(tinyexr::tinyexr_int64));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&line_no));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&packedOffsetTableSize));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&packedSampleDataSize));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&unpackedSampleDataSize));
std::vector<int> pixelOffsetTable(static_cast<size_t>(data_width));
// decode pixel offset table.
{
unsigned long dstLen =
static_cast<unsigned long>(pixelOffsetTable.size() * sizeof(int));
if (!tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&pixelOffsetTable.at(0)),
&dstLen, data_ptr + 28,
static_cast<unsigned long>(packedOffsetTableSize))) {
return false;
}
assert(dstLen == pixelOffsetTable.size() * sizeof(int));
for (size_t i = 0; i < static_cast<size_t>(data_width); i++) {
deep_image->offset_table[y][i] = pixelOffsetTable[i];
}
}
std::vector<unsigned char> sample_data(
static_cast<size_t>(unpackedSampleDataSize));
// decode sample data.
{
unsigned long dstLen = static_cast<unsigned long>(unpackedSampleDataSize);
if (dstLen) {
if (!tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&sample_data.at(0)), &dstLen,
data_ptr + 28 + packedOffsetTableSize,
static_cast<unsigned long>(packedSampleDataSize))) {
return false;
}
assert(dstLen == static_cast<unsigned long>(unpackedSampleDataSize));
}
}
// decode sample
int sampleSize = -1;
std::vector<int> channel_offset_list(static_cast<size_t>(num_channels));
{
int channel_offset = 0;
for (size_t i = 0; i < static_cast<size_t>(num_channels); i++) {
channel_offset_list[i] = channel_offset;
if (channels[i].pixel_type == TINYEXR_PIXELTYPE_UINT) { // UINT
channel_offset += 4;
} else if (channels[i].pixel_type == TINYEXR_PIXELTYPE_HALF) { // half
channel_offset += 2;
} else if (channels[i].pixel_type ==
TINYEXR_PIXELTYPE_FLOAT) { // float
channel_offset += 4;
} else {
assert(0);
}
}
sampleSize = channel_offset;
}
assert(sampleSize >= 2);
assert(static_cast<size_t>(
pixelOffsetTable[static_cast<size_t>(data_width - 1)] *
sampleSize) == sample_data.size());
int samples_per_line = static_cast<int>(sample_data.size()) / sampleSize;
//
// Alloc memory
//
//
// pixel data is stored as image[channels][pixel_samples]
//
{
tinyexr::tinyexr_uint64 data_offset = 0;
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
deep_image->image[c][y] = static_cast<float *>(
malloc(sizeof(float) * static_cast<size_t>(samples_per_line)));
if (channels[c].pixel_type == 0) { // UINT
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
unsigned int ui;
unsigned int *src_ptr = reinterpret_cast<unsigned int *>(
&sample_data.at(size_t(data_offset) + x * sizeof(int)));
tinyexr::cpy4(&ui, src_ptr);
deep_image->image[c][y][x] = static_cast<float>(ui); // @fixme
}
data_offset +=
sizeof(unsigned int) * static_cast<size_t>(samples_per_line);
} else if (channels[c].pixel_type == 1) { // half
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
tinyexr::FP16 f16;
const unsigned short *src_ptr = reinterpret_cast<unsigned short *>(
&sample_data.at(size_t(data_offset) + x * sizeof(short)));
tinyexr::cpy2(&(f16.u), src_ptr);
tinyexr::FP32 f32 = half_to_float(f16);
deep_image->image[c][y][x] = f32.f;
}
data_offset += sizeof(short) * static_cast<size_t>(samples_per_line);
} else { // float
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
float f;
const float *src_ptr = reinterpret_cast<float *>(
&sample_data.at(size_t(data_offset) + x * sizeof(float)));
tinyexr::cpy4(&f, src_ptr);
deep_image->image[c][y][x] = f;
}
data_offset += sizeof(float) * static_cast<size_t>(samples_per_line);
}
}
}
} // y
deep_image->width = data_width;
deep_image->height = data_height;
deep_image->channel_names = static_cast<const char **>(
malloc(sizeof(const char *) * static_cast<size_t>(num_channels)));
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
#ifdef _WIN32
deep_image->channel_names[c] = _strdup(channels[c].name.c_str());
#else
deep_image->channel_names[c] = strdup(channels[c].name.c_str());
#endif
}
deep_image->num_channels = num_channels;
return TINYEXR_SUCCESS;
}
void InitEXRImage(EXRImage *exr_image) {
if (exr_image == NULL) {
return;
}
exr_image->width = 0;
exr_image->height = 0;
exr_image->num_channels = 0;
exr_image->images = NULL;
exr_image->tiles = NULL;
exr_image->num_tiles = 0;
}
void FreeEXRErrorMessage(const char *msg) {
if (msg) {
free(reinterpret_cast<void *>(const_cast<char *>(msg)));
}
return;
}
void InitEXRHeader(EXRHeader *exr_header) {
if (exr_header == NULL) {
return;
}
memset(exr_header, 0, sizeof(EXRHeader));
}
int FreeEXRHeader(EXRHeader *exr_header) {
if (exr_header == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (exr_header->channels) {
free(exr_header->channels);
}
if (exr_header->pixel_types) {
free(exr_header->pixel_types);
}
if (exr_header->requested_pixel_types) {
free(exr_header->requested_pixel_types);
}
for (int i = 0; i < exr_header->num_custom_attributes; i++) {
if (exr_header->custom_attributes[i].value) {
free(exr_header->custom_attributes[i].value);
}
}
if (exr_header->custom_attributes) {
free(exr_header->custom_attributes);
}
return TINYEXR_SUCCESS;
}
int FreeEXRImage(EXRImage *exr_image) {
if (exr_image == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
for (int i = 0; i < exr_image->num_channels; i++) {
if (exr_image->images && exr_image->images[i]) {
free(exr_image->images[i]);
}
}
if (exr_image->images) {
free(exr_image->images);
}
if (exr_image->tiles) {
for (int tid = 0; tid < exr_image->num_tiles; tid++) {
for (int i = 0; i < exr_image->num_channels; i++) {
if (exr_image->tiles[tid].images && exr_image->tiles[tid].images[i]) {
free(exr_image->tiles[tid].images[i]);
}
}
if (exr_image->tiles[tid].images) {
free(exr_image->tiles[tid].images);
}
}
free(exr_image->tiles);
}
return TINYEXR_SUCCESS;
}
int ParseEXRHeaderFromFile(EXRHeader *exr_header, const EXRVersion *exr_version,
const char *filename, const char **err) {
if (exr_header == NULL || exr_version == NULL || filename == NULL) {
tinyexr::SetErrorMessage("Invalid argument for ParseEXRHeaderFromFile",
err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
FILE *fp = NULL;
#ifdef _WIN32
#if defined(_MSC_VER) || defined(__MINGW32__) // MSVC, MinGW gcc or clang
errno_t errcode = _wfopen_s(&fp, tinyexr::UTF8ToWchar(filename).c_str(), L"rb");
if (errcode != 0) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
return TINYEXR_ERROR_INVALID_FILE;
}
#else
// Unknown compiler
fp = fopen(filename, "rb");
#endif
#else
fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
if (ret != filesize) {
tinyexr::SetErrorMessage("fread() error on " + std::string(filename),
err);
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRHeaderFromMemory(exr_header, exr_version, &buf.at(0), filesize,
err);
}
int ParseEXRMultipartHeaderFromMemory(EXRHeader ***exr_headers,
int *num_headers,
const EXRVersion *exr_version,
const unsigned char *memory, size_t size,
const char **err) {
if (memory == NULL || exr_headers == NULL || num_headers == NULL ||
exr_version == NULL) {
// Invalid argument
tinyexr::SetErrorMessage(
"Invalid argument for ParseEXRMultipartHeaderFromMemory", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
tinyexr::SetErrorMessage("Data size too short", err);
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory + tinyexr::kEXRVersionSize;
size_t marker_size = size - tinyexr::kEXRVersionSize;
std::vector<tinyexr::HeaderInfo> infos;
for (;;) {
tinyexr::HeaderInfo info;
info.clear();
std::string err_str;
bool empty_header = false;
int ret = ParseEXRHeader(&info, &empty_header, exr_version, &err_str,
marker, marker_size);
if (ret != TINYEXR_SUCCESS) {
tinyexr::SetErrorMessage(err_str, err);
return ret;
}
if (empty_header) {
marker += 1; // skip '\0'
break;
}
// `chunkCount` must exist in the header.
if (info.chunk_count == 0) {
tinyexr::SetErrorMessage(
"`chunkCount' attribute is not found in the header.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
infos.push_back(info);
// move to next header.
marker += info.header_len;
size -= info.header_len;
}
// allocate memory for EXRHeader and create array of EXRHeader pointers.
(*exr_headers) =
static_cast<EXRHeader **>(malloc(sizeof(EXRHeader *) * infos.size()));
for (size_t i = 0; i < infos.size(); i++) {
EXRHeader *exr_header = static_cast<EXRHeader *>(malloc(sizeof(EXRHeader)));
ConvertHeader(exr_header, infos[i]);
// transfoer `tiled` from version.
exr_header->tiled = exr_version->tiled;
(*exr_headers)[i] = exr_header;
}
(*num_headers) = static_cast<int>(infos.size());
return TINYEXR_SUCCESS;
}
int ParseEXRMultipartHeaderFromFile(EXRHeader ***exr_headers, int *num_headers,
const EXRVersion *exr_version,
const char *filename, const char **err) {
if (exr_headers == NULL || num_headers == NULL || exr_version == NULL ||
filename == NULL) {
tinyexr::SetErrorMessage(
"Invalid argument for ParseEXRMultipartHeaderFromFile()", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
FILE *fp = NULL;
#ifdef _WIN32
#if defined(_MSC_VER) || defined(__MINGW32__) // MSVC, MinGW gcc or clang
errno_t errcode = _wfopen_s(&fp, tinyexr::UTF8ToWchar(filename).c_str(), L"rb");
if (errcode != 0) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
return TINYEXR_ERROR_INVALID_FILE;
}
#else
// Unknown compiler
fp = fopen(filename, "rb");
#endif
#else
fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
if (ret != filesize) {
tinyexr::SetErrorMessage("`fread' error. file may be corrupted.", err);
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRMultipartHeaderFromMemory(
exr_headers, num_headers, exr_version, &buf.at(0), filesize, err);
}
int ParseEXRVersionFromMemory(EXRVersion *version, const unsigned char *memory,
size_t size) {
if (version == NULL || memory == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory;
// Header check.
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
if (memcmp(marker, header, 4) != 0) {
return TINYEXR_ERROR_INVALID_MAGIC_NUMBER;
}
marker += 4;
}
version->tiled = false;
version->long_name = false;
version->non_image = false;
version->multipart = false;
// Parse version header.
{
// must be 2
if (marker[0] != 2) {
return TINYEXR_ERROR_INVALID_EXR_VERSION;
}
if (version == NULL) {
return TINYEXR_SUCCESS; // May OK
}
version->version = 2;
if (marker[1] & 0x2) { // 9th bit
version->tiled = true;
}
if (marker[1] & 0x4) { // 10th bit
version->long_name = true;
}
if (marker[1] & 0x8) { // 11th bit
version->non_image = true; // (deep image)
}
if (marker[1] & 0x10) { // 12th bit
version->multipart = true;
}
}
return TINYEXR_SUCCESS;
}
int ParseEXRVersionFromFile(EXRVersion *version, const char *filename) {
if (filename == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
FILE *fp = NULL;
#ifdef _WIN32
#if defined(_MSC_VER) || defined(__MINGW32__) // MSVC, MinGW gcc or clang
errno_t err = _wfopen_s(&fp, tinyexr::UTF8ToWchar(filename).c_str(), L"rb");
if (err != 0) {
// TODO(syoyo): return wfopen_s erro code
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#else
// Unknown compiler
fp = fopen(filename, "rb");
#endif
#else
fp = fopen(filename, "rb");
#endif
if (!fp) {
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t file_size;
// Compute size
fseek(fp, 0, SEEK_END);
file_size = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
if (file_size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_FILE;
}
unsigned char buf[tinyexr::kEXRVersionSize];
size_t ret = fread(&buf[0], 1, tinyexr::kEXRVersionSize, fp);
fclose(fp);
if (ret != tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_FILE;
}
return ParseEXRVersionFromMemory(version, buf, tinyexr::kEXRVersionSize);
}
int LoadEXRMultipartImageFromMemory(EXRImage *exr_images,
const EXRHeader **exr_headers,
unsigned int num_parts,
const unsigned char *memory,
const size_t size, const char **err) {
if (exr_images == NULL || exr_headers == NULL || num_parts == 0 ||
memory == NULL || (size <= tinyexr::kEXRVersionSize)) {
tinyexr::SetErrorMessage(
"Invalid argument for LoadEXRMultipartImageFromMemory()", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// compute total header size.
size_t total_header_size = 0;
for (unsigned int i = 0; i < num_parts; i++) {
if (exr_headers[i]->header_len == 0) {
tinyexr::SetErrorMessage("EXRHeader variable is not initialized.", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
total_header_size += exr_headers[i]->header_len;
}
const char *marker = reinterpret_cast<const char *>(
memory + total_header_size + 4 +
4); // +8 for magic number and version header.
marker += 1; // Skip empty header.
// NOTE 1:
// In multipart image, There is 'part number' before chunk data.
// 4 byte : part number
// 4+ : chunk
//
// NOTE 2:
// EXR spec says 'part number' is 'unsigned long' but actually this is
// 'unsigned int(4 bytes)' in OpenEXR implementation...
// http://www.openexr.com/openexrfilelayout.pdf
// Load chunk offset table.
std::vector<std::vector<tinyexr::tinyexr_uint64> > chunk_offset_table_list;
for (size_t i = 0; i < static_cast<size_t>(num_parts); i++) {
std::vector<tinyexr::tinyexr_uint64> offset_table(
static_cast<size_t>(exr_headers[i]->chunk_count));
for (size_t c = 0; c < offset_table.size(); c++) {
tinyexr::tinyexr_uint64 offset;
memcpy(&offset, marker, 8);
tinyexr::swap8(&offset);
if (offset >= size) {
tinyexr::SetErrorMessage("Invalid offset size in EXR header chunks.",
err);
return TINYEXR_ERROR_INVALID_DATA;
}
offset_table[c] = offset + 4; // +4 to skip 'part number'
marker += 8;
}
chunk_offset_table_list.push_back(offset_table);
}
// Decode image.
for (size_t i = 0; i < static_cast<size_t>(num_parts); i++) {
std::vector<tinyexr::tinyexr_uint64> &offset_table =
chunk_offset_table_list[i];
// First check 'part number' is identitical to 'i'
for (size_t c = 0; c < offset_table.size(); c++) {
const unsigned char *part_number_addr =
memory + offset_table[c] - 4; // -4 to move to 'part number' field.
unsigned int part_no;
memcpy(&part_no, part_number_addr, sizeof(unsigned int)); // 4
tinyexr::swap4(&part_no);
if (part_no != i) {
tinyexr::SetErrorMessage("Invalid `part number' in EXR header chunks.",
err);
return TINYEXR_ERROR_INVALID_DATA;
}
}
std::string e;
int ret = tinyexr::DecodeChunk(&exr_images[i], exr_headers[i], offset_table,
memory, size, &e);
if (ret != TINYEXR_SUCCESS) {
if (!e.empty()) {
tinyexr::SetErrorMessage(e, err);
}
return ret;
}
}
return TINYEXR_SUCCESS;
}
int LoadEXRMultipartImageFromFile(EXRImage *exr_images,
const EXRHeader **exr_headers,
unsigned int num_parts, const char *filename,
const char **err) {
if (exr_images == NULL || exr_headers == NULL || num_parts == 0) {
tinyexr::SetErrorMessage(
"Invalid argument for LoadEXRMultipartImageFromFile", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
FILE *fp = NULL;
#ifdef _WIN32
#if defined(_MSC_VER) || defined(__MINGW32__) // MSVC, MinGW gcc or clang
errno_t errcode = _wfopen_s(&fp, tinyexr::UTF8ToWchar(filename).c_str(), L"rb");
if (errcode != 0) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#else
// Unknown compiler
fp = fopen(filename, "rb");
#endif
#else
fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
(void)ret;
}
return LoadEXRMultipartImageFromMemory(exr_images, exr_headers, num_parts,
&buf.at(0), filesize, err);
}
int SaveEXR(const float *data, int width, int height, int components,
const int save_as_fp16, const char *outfilename, const char **err) {
if ((components == 1) || components == 3 || components == 4) {
// OK
} else {
std::stringstream ss;
ss << "Unsupported component value : " << components << std::endl;
tinyexr::SetErrorMessage(ss.str(), err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRHeader header;
InitEXRHeader(&header);
if ((width < 16) && (height < 16)) {
// No compression for small image.
header.compression_type = TINYEXR_COMPRESSIONTYPE_NONE;
} else {
header.compression_type = TINYEXR_COMPRESSIONTYPE_ZIP;
}
EXRImage image;
InitEXRImage(&image);
image.num_channels = components;
std::vector<float> images[4];
if (components == 1) {
images[0].resize(static_cast<size_t>(width * height));
memcpy(images[0].data(), data, sizeof(float) * size_t(width * height));
} else {
images[0].resize(static_cast<size_t>(width * height));
images[1].resize(static_cast<size_t>(width * height));
images[2].resize(static_cast<size_t>(width * height));
images[3].resize(static_cast<size_t>(width * height));
// Split RGB(A)RGB(A)RGB(A)... into R, G and B(and A) layers
for (size_t i = 0; i < static_cast<size_t>(width * height); i++) {
images[0][i] = data[static_cast<size_t>(components) * i + 0];
images[1][i] = data[static_cast<size_t>(components) * i + 1];
images[2][i] = data[static_cast<size_t>(components) * i + 2];
if (components == 4) {
images[3][i] = data[static_cast<size_t>(components) * i + 3];
}
}
}
float *image_ptr[4] = {0, 0, 0, 0};
if (components == 4) {
image_ptr[0] = &(images[3].at(0)); // A
image_ptr[1] = &(images[2].at(0)); // B
image_ptr[2] = &(images[1].at(0)); // G
image_ptr[3] = &(images[0].at(0)); // R
} else if (components == 3) {
image_ptr[0] = &(images[2].at(0)); // B
image_ptr[1] = &(images[1].at(0)); // G
image_ptr[2] = &(images[0].at(0)); // R
} else if (components == 1) {
image_ptr[0] = &(images[0].at(0)); // A
}
image.images = reinterpret_cast<unsigned char **>(image_ptr);
image.width = width;
image.height = height;
header.num_channels = components;
header.channels = static_cast<EXRChannelInfo *>(malloc(
sizeof(EXRChannelInfo) * static_cast<size_t>(header.num_channels)));
// Must be (A)BGR order, since most of EXR viewers expect this channel order.
if (components == 4) {
#ifdef _MSC_VER
strncpy_s(header.channels[0].name, "A", 255);
strncpy_s(header.channels[1].name, "B", 255);
strncpy_s(header.channels[2].name, "G", 255);
strncpy_s(header.channels[3].name, "R", 255);
#else
strncpy(header.channels[0].name, "A", 255);
strncpy(header.channels[1].name, "B", 255);
strncpy(header.channels[2].name, "G", 255);
strncpy(header.channels[3].name, "R", 255);
#endif
header.channels[0].name[strlen("A")] = '\0';
header.channels[1].name[strlen("B")] = '\0';
header.channels[2].name[strlen("G")] = '\0';
header.channels[3].name[strlen("R")] = '\0';
} else if (components == 3) {
#ifdef _MSC_VER
strncpy_s(header.channels[0].name, "B", 255);
strncpy_s(header.channels[1].name, "G", 255);
strncpy_s(header.channels[2].name, "R", 255);
#else
strncpy(header.channels[0].name, "B", 255);
strncpy(header.channels[1].name, "G", 255);
strncpy(header.channels[2].name, "R", 255);
#endif
header.channels[0].name[strlen("B")] = '\0';
header.channels[1].name[strlen("G")] = '\0';
header.channels[2].name[strlen("R")] = '\0';
} else {
#ifdef _MSC_VER
strncpy_s(header.channels[0].name, "A", 255);
#else
strncpy(header.channels[0].name, "A", 255);
#endif
header.channels[0].name[strlen("A")] = '\0';
}
header.pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(header.num_channels)));
header.requested_pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(header.num_channels)));
for (int i = 0; i < header.num_channels; i++) {
header.pixel_types[i] =
TINYEXR_PIXELTYPE_FLOAT; // pixel type of input image
if (save_as_fp16 > 0) {
header.requested_pixel_types[i] =
TINYEXR_PIXELTYPE_HALF; // save with half(fp16) pixel format
} else {
header.requested_pixel_types[i] =
TINYEXR_PIXELTYPE_FLOAT; // save with float(fp32) pixel format(i.e.
// no precision reduction)
}
}
int ret = SaveEXRImageToFile(&image, &header, outfilename, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
free(header.channels);
free(header.pixel_types);
free(header.requested_pixel_types);
return ret;
}
#ifdef __clang__
// zero-as-null-ppinter-constant
#pragma clang diagnostic pop
#endif
#endif // TINYEXR_IMPLEMENTATION_DEFINED
#endif // TINYEXR_IMPLEMENTATION
|
elkan_par32.c | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <time.h>
#include <stdbool.h>
#include <string.h>
#include <omp.h>
#include "csvparser.h"
void vector_init(double *a, int length) {
for (int i = 0; i < length; i++) {
a[i] = 0;
}
}
void vector_copy(double *dst, double *src, int length) {
for (int i = 0; i < length; i++) {
dst[i] = src[i];
}
}
void vector_add(double *dst, double *a, double *b, int length) {
for (int i = 0; i < length; i++) {
dst[i] = a[i] + b[i];
}
}
void vector_elementwise_avg(double *dst, double *a, int denominator, int length) {
for (int i = 0; i < length; i++) {
dst[i] = a[i] / denominator;
}
}
double vector_L2_norm(double *a, int length) {
double vec_norm = 0;
for (int i = 0; i < length; i++) {
vec_norm += a[i] * a[i];
}
return sqrt(vec_norm);
}
void vector_sub(double *dst, double *a, double *b, int length) {
for (int i = 0; i < length; i++) {
dst[i] = a[i] - b[i];
}
}
static inline double max(double a, double b) {
return a > b ? a : b;
}
// Program should take K, a data set (.csv), a delimiter,
// a binary flag data_contains_header, and a binary flag to drop labels
int main(int argc, char *argv[]) {
// Seed for consistent cluster center selection
// In a working implementation, seeding would be variable (e.g. time(NULL))
srand(111);
CsvParser *reader;
CsvRow *row;
int i, j;
if(argc < 6){
printf("Incorrect number of args. Should be 5, received %d\n", argc - 1);
exit(1);
}
int K = atoi(argv[1]);
char *data_fp = argv[2];
char *delimiter = argv[3];
int has_header_row = atoi(argv[4]);
int drop_labels = atoi(argv[5]);
// Take in data set
reader = CsvParser_new(data_fp, delimiter, has_header_row);
// Get number of columns
row = CsvParser_getRow(reader);
int num_cols = CsvParser_getNumFields(row);
CsvParser_destroy_row(row);
if (drop_labels){
num_cols--;
}
// Get number of rows like lazy people
int num_rows = 1;
while ((row = CsvParser_getRow(reader))){
num_rows++;
CsvParser_destroy_row(row);
}
// Torch the CsvParser and start again so we can read data in.
CsvParser_destroy(reader);
reader = CsvParser_new(data_fp, delimiter, has_header_row);
double **data_matrix = malloc(num_rows * sizeof(double *));
for (i = 0; i < num_rows; i++) {
data_matrix[i] = malloc(num_cols * sizeof(double));
}
int row_index = 0;
while ((row = CsvParser_getRow(reader))){
const char **row_fields = CsvParser_getFields(row);
for (int col_index = 0; col_index < num_cols; col_index++) {
data_matrix[row_index][col_index] = atof(row_fields[col_index]);
}
CsvParser_destroy_row(row);
row_index++;
}
CsvParser_destroy(reader);
// Initialize some cluster centers from random rows in our data
// Given the fact that we will usually have way more rows than centers, we can
// probably just roll a number and reroll if we already rolled it. Collisions
// should be relatively infrequent
double prev_centers[K][num_cols];
double centers[K][num_cols];
bool collided;
if (argc == 7) {
int center_indices[3] = {12, 67, 106};
for (i = 0; i < K; i ++) {
vector_copy(centers[i], data_matrix[center_indices[i]], num_cols);
}
} else {
for (i = 0; i < K; i++) {
int center_indices[K];
collided = true;
while (collided) {
center_indices[i] = rand() % num_rows;
collided = false;
for (j = 0; j < i; j++) {
if (center_indices[j] == center_indices[i]) {
collided = true;
break;
}
}
vector_copy(centers[i], data_matrix[center_indices[i]], num_cols);
}
}
}
printf("Initial cluster centers:\n");
for (i = 0; i < K; i++) {
for (j = 0; j < num_cols; j++) {
printf("%f ", centers[i][j]);
}
printf("\n");
}
printf("\n");
int num_iterations = 0;
int *clusterings = calloc(num_rows, sizeof(int));
double *l_bounds = calloc(num_rows * K, sizeof(double));
double *u_bounds = calloc(num_rows, sizeof(double));
double *ctr_ctr_dists = malloc(K * K * sizeof(double));
double drifts[K];
bool changes;
bool ubound_not_tight = false;
// These need better names
double z;
double s[K];
int this_ctr, this_pt;
double tmp_diff[num_cols];
double min_diff;
int elements_in_cluster;
double cluster_means[num_cols];
double tstart = omp_get_wtime();
omp_set_num_threads(32);
#pragma omp parallel for private(this_pt) shared(num_rows, u_bounds)
for (this_pt = 0; this_pt < num_rows; this_pt++) {
u_bounds[this_pt] = INFINITY;
}
while(1) {
changes = false;
// Calculate center-center distances
// TODO: reduce number of distance calculations
#pragma omp parallel for private (i, j, tmp_diff, min_diff) \
shared(ctr_ctr_dists, centers, num_cols)
for (i = 0; i < K; i++) {
min_diff = INFINITY;
for (j = 0; j < K; j++) {
if (i == j) {
ctr_ctr_dists[i * K + j] = 0;
continue;
}
vector_sub(tmp_diff, centers[i], centers[j], num_cols);
ctr_ctr_dists[i * K + j] = vector_L2_norm(tmp_diff, num_cols);
if (ctr_ctr_dists[i * K + j] < min_diff) {
min_diff = ctr_ctr_dists[i * K + j];
}
}
s[i] = min_diff / 2;
}
// Assign points to cluster centers
#pragma omp parallel for private (this_pt, this_ctr, z, tmp_diff, ubound_not_tight) \
shared(num_rows, num_cols, l_bounds, u_bounds, s, clusterings, ctr_ctr_dists, centers, data_matrix, changes) schedule(dynamic)
for (this_pt = 0; this_pt < num_rows; this_pt++) {
if (u_bounds[this_pt] > s[clusterings[this_pt]]) {
ubound_not_tight = true;
for(this_ctr = 0; this_ctr < K; this_ctr++) {
z = max(l_bounds[this_pt * K + this_ctr],
ctr_ctr_dists[clusterings[this_pt] * K + this_ctr] / 2);
if (this_ctr == clusterings[this_pt] || u_bounds[this_pt] <= z) {
continue;
}
if (ubound_not_tight) {
vector_sub(tmp_diff, data_matrix[this_pt], centers[clusterings[this_pt]], num_cols);
u_bounds[this_pt] = vector_L2_norm(tmp_diff, num_cols);
ubound_not_tight = false;
if (u_bounds[this_pt] <= z) {
continue;
}
}
vector_sub(tmp_diff, data_matrix[this_pt], centers[this_ctr], num_cols);
l_bounds[this_pt * K + this_ctr] = vector_L2_norm(tmp_diff, num_cols);
if(l_bounds[this_pt * K + this_ctr] < u_bounds[this_pt]) {
// NOTE: There is an acceptable data race on changes. Threads only ever
// set it to true; lost updates are inconsequential. No need to slow
// things down for safety.
changes = true;
clusterings[this_pt] = this_ctr;
u_bounds[this_pt] = l_bounds[this_pt * K + this_ctr];
}
}
}
}
// If no clusterings have changed, we have reached convergence
if (!changes) {
break;
}
num_iterations++;
// Capture current centers for later re-use
memcpy(prev_centers, centers, num_cols * K * sizeof(double));
// Calculate cluster mean for each cluster
#pragma omp parallel for \
private(this_ctr, this_pt, elements_in_cluster, cluster_means) \
shared(num_rows, clusterings, data_matrix, K)
for (this_ctr = 0; this_ctr < K; this_ctr++) {
elements_in_cluster = 0;
vector_init(cluster_means, num_cols);
for (this_pt = 0; this_pt < num_rows; this_pt++) {
if (clusterings[this_pt] == this_ctr) {
vector_add(cluster_means, cluster_means, data_matrix[this_pt], num_cols);
elements_in_cluster++;
}
}
vector_elementwise_avg(cluster_means, cluster_means, elements_in_cluster, num_cols);
vector_copy(centers[this_ctr], cluster_means, num_cols);
}
// Compute centroid drift since last iteration
#pragma omp parallel for private(this_ctr, tmp_diff) shared(centers, prev_centers, num_cols, drifts)
for (this_ctr = 0; this_ctr < K; this_ctr++) {
vector_sub(tmp_diff, centers[this_ctr], prev_centers[this_ctr], num_cols);
drifts[this_ctr] = vector_L2_norm(tmp_diff, num_cols);
}
// Adjust bounds to account for centroid drift
#pragma omp parallel for private(this_pt, this_ctr, tmp_diff) \
shared(centers, prev_centers, clusterings, num_cols, u_bounds, l_bounds, drifts, K)
for (this_pt = 0; this_pt < num_rows; this_pt++) {
vector_sub(tmp_diff, centers[clusterings[this_pt]], prev_centers[clusterings[this_pt]], num_cols);
u_bounds[this_pt] += vector_L2_norm(tmp_diff, num_cols);
for (this_ctr = 0; this_ctr < K; this_ctr++) {
l_bounds[this_pt * K + this_ctr] -= drifts[this_ctr];
}
}
}
double tend = omp_get_wtime();
printf("Center-center distances:\n");
for (i = 0; i < K; i++) {
for (j = 0; j < K; j++) {
printf("%f ", ctr_ctr_dists[j + i * K]);
}
printf("\n");
}
printf("\nFinal cluster centers:\n");
for (i = 0; i < K; i++) {
for (j = 0; j < num_cols; j++) {
printf("%f ", centers[i][j]);
}
printf("\n");
}
printf("\nNum iterations: %d\n", num_iterations);
printf("Time taken for %d clusters: %f seconds\n", K, tend - tstart);
for (i = 0; i < num_rows; i++) {
free(data_matrix[i]);
}
free(data_matrix);
free(clusterings);
exit(0);
}
|
BytomPoW.h | /* BytomPoW.h */
#ifndef BYTOMPOW_H
#define BYTOMPOW_H
#include "scrypt.h"
#include "sha3-allInOne.h"
#include <iostream>
#include <vector>
#include <time.h>
#include <assert.h>
#include <stdint.h>
// #include <x86intrin.h>
// #ifdef _USE_OPENMP
// #include <omp.h>
// #endif
#include <cuda_runtime.h>
#include "cublas_v2.h"
#define FNV(v1,v2) int32_t( ((v1)*FNV_PRIME) ^ (v2) )
const int FNV_PRIME = 0x01000193;
// flip the LTCMemory to be used for matrix copy
struct SortedLTCMemory
{
uint32_t w[32][1024];
};
inline void sortLtcMemoryForMatrixCopy(LTCMemory& ltcMem, SortedLTCMemory& sortedLtcMem)
{
// Words32 temp[1024];
// for(int i = 0; i < 256; ++i)
// {
// memcpy(&temp[i] , <cMem.w32[i * 4 + 0], sizeof(Words32));
// memcpy(&temp[i + 256] , <cMem.w32[i * 4 + 2], sizeof(Words32));
// memcpy(&temp[i + 512] , <cMem.w32[i * 4 + 1], sizeof(Words32));
// memcpy(&temp[i + 768] , <cMem.w32[i * 4 + 3], sizeof(Words32));
// }
// for(int i = 0; i < 32; ++i)
// {
// for(int j = 0; j < 256; ++j)
// {
// const Words32& evenlow = temp[j];
// const Words32& evenhigh = temp[j + 256];
// const Words32& oddlow = temp[j + 512];
// const Words32& oddhigh = temp[j + 768];
// sortedLtcMem.w[i][j] = evenlow.get(i);
// sortedLtcMem.w[i][j + 256] = evenhigh.get(i);
// sortedLtcMem.w[i][j + 512] = oddlow.get(i);
// sortedLtcMem.w[i][j + 768] = oddhigh.get(i);
// }
// }
for(int i = 0; i < 32; ++i)
{
for(int j = 0; j < 256; ++j)
{
int s = j * 4;
const Words32& evenlow = ltcMem.w32[s + 0];
const Words32& oddlow = ltcMem.w32[s + 1];
const Words32& evenhigh = ltcMem.w32[s + 2];
const Words32& oddhigh = ltcMem.w32[s + 3];
sortedLtcMem.w[i][j] = evenlow.get(i);
sortedLtcMem.w[i][j + 256] = evenhigh.get(i);
sortedLtcMem.w[i][j + 512] = oddlow.get(i);
sortedLtcMem.w[i][j + 768] = oddhigh.get(i);
}
}
}
struct Mat256x256i8 {
int8_t d[256][256];
void toIdentityMatrix() {
for(int i=0; i<256; i++) {
for(int j=0; j<256; j++) {
d[i][j]= (i==j)?1:0; // diagonal
}
}
}
void copyFrom(const Mat256x256i8& other) {
for(int i=0; i<256; i++) {
for(int j=0; j<256; j++) {
this->d[j][i]=other.d[j][i];
}
}
}
Mat256x256i8() {
// this->toIdentityMatrix();
}
Mat256x256i8(const Mat256x256i8& other) {
this->copyFrom(other);
}
void copyFrom_helper(LTCMemory& ltcMem, int offset) {
for(int j=0; j<32; j++) {
int dim = j * 4;
for(int i=0; i<256; i++) {
const Words32& lo=ltcMem.get(i*4+offset);
uint32_t i32 = lo.get(j);
d[dim+0][i]=(i32>>0)&0xFF;
d[dim+1][i]=(i32>>8)&0xFF;
d[dim+2][i]=(i32>>16)&0xFF;
d[dim+3][i]=(i32>>24)&0xFF;
}
}
for(int j=0; j<32; j++) {
int dim = (j + 32) * 4;
for(int i=0; i<256; i++) {
const Words32& hi=ltcMem.get(i*4+2+offset);
uint32_t i32 = hi.get(j);
d[dim+0][i]=(i32>>0)&0xFF;
d[dim+1][i]=(i32>>8)&0xFF;
d[dim+2][i]=(i32>>16)&0xFF;
d[dim+3][i]=(i32>>24)&0xFF;
}
}
}
void copyFrom_helper(SortedLTCMemory& ltcMem, bool odd)
{
int starting = (int)odd * 512;
for(int i = 0; i < 32; ++i)
{
int dim = i * 4;
for(int j = 0; j < 256; ++j)
{
int dim2 = j + starting;
uint32_t i32 = ltcMem.w[i][dim2];
d[dim+0][j]=(i32>>0)&0xFF;
d[dim+1][j]=(i32>>8)&0xFF;
d[dim+2][j]=(i32>>16)&0xFF;
d[dim+3][j]=(i32>>24)&0xFF;
}
dim = (i + 32) * 4;
for(int j = 0; j < 256; ++j)
{
int dim2 = j + starting + 256;
uint32_t i32 = ltcMem.w[i][dim2];
d[dim+0][j]=(i32>>0)&0xFF;
d[dim+1][j]=(i32>>8)&0xFF;
d[dim+2][j]=(i32>>16)&0xFF;
d[dim+3][j]=(i32>>24)&0xFF;
}
}
}
void copyFromEven(LTCMemory& ltcMem) {
copyFrom_helper(ltcMem, 0);
}
void copyFromOdd(LTCMemory& ltcMem) {
copyFrom_helper(ltcMem, 1);
}
void copyFromSortedEven(SortedLTCMemory& ltcMem) {
copyFrom_helper(ltcMem, false);
}
void copyFromSortedOdd(SortedLTCMemory& ltcMem) {
copyFrom_helper(ltcMem, true);
}
void add(Mat256x256i8& a, Mat256x256i8& b) {
for(int i=0; i<256; i++) {
for(int j=0; j<256; j++) {
int tmp=int(a.d[i][j])+int(b.d[i][j]);
this->d[i][j]=(tmp&0xFF);
}
}
}
};
struct Arr256x64i32 {
uint32_t d[256][64];
void fillWithD0(uint32_t data[64]) {
for(int i=0; i<64; i++) data[i]=d[0][i];
}
uint8_t* d0RawPtr() {
return (uint8_t*)(d[0]);
}
Arr256x64i32(const Mat256x256i8& mat) {
for(int j=0; j<256; j++) {
for(int i=0; i<64; i++) {
d[j][i] = ((uint32_t(uint8_t(mat.d[j][i + 192]))) << 24) |
((uint32_t(uint8_t(mat.d[j][i + 128]))) << 16) |
((uint32_t(uint8_t(mat.d[j][i + 64]))) << 8) |
((uint32_t(uint8_t(mat.d[j][i ]))) << 0);
}
}
}
void reduceFNV() {
for(int k=256; k>1; k=k/2) {
for(int j=0; j<k/2; j++) {
for(int i=0; i<64; i++) {
d[j][i] = FNV(d[j][i], d[j + k / 2][i]);
}
}
}
}
};
struct BytomMatList8 {
Mat256x256i8* matVec;
Mat256x256i8 at(int i) {
return matVec[i];
}
BytomMatList8() {
matVec = new Mat256x256i8[256];
}
~BytomMatList8() {
delete[] matVec;
}
void init(const Words32& X_in) {
Words32 X = X_in;
LTCMemory ltcMem;
for(int i=0; i<128; i++) {
ltcMem.scrypt(X);
// matVec[2*i].copyFromEven(ltcMem);
// matVec[2*i+1].copyFromOdd(ltcMem);
SortedLTCMemory sortedLtcMem;
sortLtcMemoryForMatrixCopy(ltcMem, sortedLtcMem);
matVec[2*i].copyFromSortedEven(sortedLtcMem);
matVec[2*i+1].copyFromSortedOdd(sortedLtcMem);
}
}
};
struct BytomMatListGpu {
int8_t* matVecGpu;
int8_t* at(int i) {
return &matVecGpu[i * 256 * 256];
}
BytomMatListGpu() {
int8_t* devPtr_i8;
cudaMalloc ((void**)&devPtr_i8, 256*256*256*sizeof(*devPtr_i8));
matVecGpu = devPtr_i8;
}
~BytomMatListGpu() {
cudaFree(matVecGpu);
}
};
// struct BytomMatList8 {
// std::vector<Mat256x256i8*> matVec;
// Mat256x256i8 at(int i) {
// return *(matVec[i]);
// }
// BytomMatList8() {
// for(int i=0; i<256; i++) {
// Mat256x256i8* ptr = new Mat256x256i8;
// assert(ptr!=NULL);
// matVec.push_back(ptr);
// }
// }
// ~BytomMatList8() {
// for(int i=0; i<256; i++) {
// delete matVec[i];
// }
// }
// void init(const Words32& X_in) {
// Words32 X = X_in;
// LTCMemory ltcMem;
// for(int i=0; i<128; i++) {
// ltcMem.scrypt(X);
// matVec[2*i]->copyFromEven(ltcMem);
// matVec[2*i+1]->copyFromOdd(ltcMem);
// }
// }
// };
// struct BytomMatListGpu {
// std::vector<int8_t*> matVecGpu;
// int8_t* at(int i) {
// return matVecGpu[i];
// }
// BytomMatListGpu() {
// for(int i=0; i<256; i++) {
// int8_t* devPtr_i8;
// cudaMalloc ((void**)&devPtr_i8, 256*256*sizeof(*devPtr_i8));
// assert(devPtr_i8!=NULL);
// matVecGpu.push_back(devPtr_i8);
// }
// }
// ~BytomMatListGpu() {
// for(int i=0; i<256; i++)
// cudaFree(matVecGpu[i]);
// }
// };
/*
struct BytomMatList16 {
std::vector<Mat256x256i16*> matVec;
Mat256x256i16 at(int i) {
return *(matVec[i]);
}
BytomMatList16() {
for(int i=0; i<256; i++) {
Mat256x256i16* ptr=new Mat256x256i16;
assert(ptr!=NULL);
matVec.push_back(ptr);
}
}
~BytomMatList16() {
for(int i=0; i<256; i++)
delete matVec[i];
}
void init(const Words32& X_in) {
Words32 X = X_in;
LTCMemory ltcMem;
for(int i=0; i<128; i++) {
ltcMem.scrypt(X);
matVec[2*i]->copyFromEven(ltcMem);
matVec[2*i+1]->copyFromOdd(ltcMem);
}
}
// void copyFrom(BytomMatList8& other) {
// for(int i=0; i<256; i++) {
// matVec[i]->copyFrom(*other.matVec[i]);
// }
// }
// void copyFrom(BytomMatList16& other) {
// for(int i=0; i<256; i++) {
// matVec[i]->copyFrom(*other.matVec[i]);
// }
// }
};
*/
extern BytomMatList8* matList_int8;
extern BytomMatListGpu* matListGpu_int8;
// extern BytomMatList16* matList_int16;
extern void initMatVecGpu(BytomMatListGpu* matListGpu_int8, BytomMatList8* matList_int8);
extern void core_mineBytom_gpu(std::vector<uint8_t> fourSeq[4], BytomMatListGpu* matListGpu_int8, uint32_t data[64], cublasHandle_t handle);
inline void iter_mineBytom(
const uint8_t *fixedMessage,
uint32_t len,
// uint8_t nonce[8],
uint8_t result[32],
cublasHandle_t handle)
{
uint8_t sequence[32];
sha3_ctx ctx;
std::vector<uint8_t> fourSeq[4];
for(int k=0; k<4; k++) { // The k-loop
rhash_sha3_256_init(&ctx);
rhash_sha3_update(&ctx, fixedMessage+(len*k/4),len/4);//分四轮消耗掉fixedMessage
rhash_sha3_final(&ctx, sequence);
for(int i=0; i<32; i++){
fourSeq[k].push_back(sequence[i]);
}
}
uint32_t data[64];
core_mineBytom_gpu(fourSeq, matListGpu_int8, data, handle);
rhash_sha3_256_init(&ctx);
rhash_sha3_update(&ctx, (uint8_t*)data, 256);
rhash_sha3_final(&ctx, result);
}
/*
inline void iter_mineBytom(
const uint8_t *fixedMessage,
uint32_t len,
// uint8_t nonce[8],
uint8_t result[32]) {
Mat256x256i8 *resArr8=new Mat256x256i8[4];
clock_t start, end;
start = clock();
// Itz faster using single thread ...
#ifdef _USE_OPENMP
#pragma omp parallel for simd
#endif
for(int k=0; k<4; k++) { // The k-loop
sha3_ctx *ctx = new sha3_ctx;
Mat256x256i16 *mat16=new Mat256x256i16;
Mat256x256i16 *tmp16=new Mat256x256i16;
uint8_t sequence[32];
rhash_sha3_256_init(ctx);
rhash_sha3_update(ctx, fixedMessage+(len*k/4), len/4);//分四轮消耗掉fixedMessage
rhash_sha3_final(ctx, sequence);
tmp16->toIdentityMatrix();
for(int j=0; j<2; j++) {
// equivalent as tmp=tmp*matlist, i+=1
for(int i=0; i<32; i+=2) {
// "mc = ma dot mb.T" in GoLang code
mat16->mul(*tmp16, matList_int16->at(sequence[i]));
// "ma = mc" in GoLang code
tmp16->mul(*mat16, matList_int16->at(sequence[i+1]));
}
}
// "res[k] = mc" in GoLang code
tmp16->toMatI8(resArr8[k]); // 0.00018s
delete mat16;
delete tmp16;
delete ctx;
}
// 3.7e-05s
Mat256x256i8 *res8=new Mat256x256i8;
res8->add(resArr8[0], resArr8[1]);
res8->add(*res8, resArr8[2]);
res8->add(*res8, resArr8[3]);
end = clock();
// std::cout << "\tTime for getting MulMatix: "
// << (double)(end - start) / CLOCKS_PER_SEC * 1000 << "ms"
// << std::endl;
Arr256x64i32 arr(*res8);
arr.reduceFNV();
sha3_ctx *ctx = new sha3_ctx;
rhash_sha3_256_init(ctx);
rhash_sha3_update(ctx, arr.d0RawPtr(), 256);
rhash_sha3_final(ctx, result);
delete res8;
delete[] resArr8;
delete ctx;
}
*/
inline void incrNonce(uint8_t nonce[8]) {
for(int i=0; i<8; i++) {
if(nonce[i]!=255) {
nonce[i]++;
break;
} else {
nonce[i]=0;
}
}
}
inline int countLeadingZero(uint8_t result[32]) {
int count=0;
for (int i=31; i>=0; i--) { // NOTE: reverse
if (result[i] < 1) {
count+=8;
} else if (result[i]<2) {
count+=7;
break;
} else if (result[i]<4) {
count+=6;
break;
} else if (result[i]<8) {
count+=5;
break;
} else if (result[i]<16) {
count+=4;
break;
} else if (result[i]<32) {
count+=3;
break;
} else if (result[i]<64) {
count+=2;
break;
} else if (result[i]<128) {
count+=1;
break;
}
}
return count;
}
// inline int test_mineBytom(
// const uint8_t *fixedMessage,
// uint32_t len,
// uint8_t nonce[32],
// int count,
// int leadingZeroThres)
// {
// assert(len%4==0);
// int step;
// for(step=0; step<count; step++) {
// uint8_t result[32];
// //std::cerr<<"Mine step "<<step<<std::endl;
// iter_mineBytom(fixedMessage,100,nonce,result);
// std::cerr<<"Mine step "<<step<<std::endl;
// for (int i = 0; i < 32; i++) {
// printf("%02x ", result[i]);
// if (i % 8 == 7)
// printf("\n");
// }
// if (countLeadingZero(result) > leadingZeroThres)
// return step;
// incrNonce(nonce);
// }
// return step;
// }
#endif
|
GB_unop__exp2_fc32_fc32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the 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__exp2_fc32_fc32)
// op(A') function: GB (_unop_tran__exp2_fc32_fc32)
// C type: GxB_FC32_t
// A type: GxB_FC32_t
// cast: GxB_FC32_t cij = aij
// unaryop: cij = GB_cexp2f (aij)
#define GB_ATYPE \
GxB_FC32_t
#define GB_CTYPE \
GxB_FC32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_cexp2f (x) ;
// casting
#define GB_CAST(z, aij) \
GxB_FC32_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC32_t z = aij ; \
Cx [pC] = GB_cexp2f (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_EXP2 || GxB_NO_FC32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__exp2_fc32_fc32)
(
GxB_FC32_t *Cx, // Cx and Ax may be aliased
const GxB_FC32_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC32_t aij = Ax [p] ;
GxB_FC32_t z = aij ;
Cx [p] = GB_cexp2f (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
GxB_FC32_t aij = Ax [p] ;
GxB_FC32_t z = aij ;
Cx [p] = GB_cexp2f (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__exp2_fc32_fc32)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_binop__isge_uint8.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__isge_uint8)
// A.*B function (eWiseMult): GB (_AemultB_08__isge_uint8)
// A.*B function (eWiseMult): GB (_AemultB_02__isge_uint8)
// A.*B function (eWiseMult): GB (_AemultB_04__isge_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__isge_uint8)
// A*D function (colscale): GB (_AxD__isge_uint8)
// D*A function (rowscale): GB (_DxB__isge_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__isge_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__isge_uint8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__isge_uint8)
// C=scalar+B GB (_bind1st__isge_uint8)
// C=scalar+B' GB (_bind1st_tran__isge_uint8)
// C=A+scalar GB (_bind2nd__isge_uint8)
// C=A'+scalar GB (_bind2nd_tran__isge_uint8)
// C type: uint8_t
// A type: uint8_t
// B,b type: uint8_t
// BinaryOp: cij = (aij >= bij)
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
uint8_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint8_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint8_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (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_ISGE || GxB_NO_UINT8 || GxB_NO_ISGE_UINT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__isge_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__isge_uint8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__isge_uint8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint8_t
uint8_t bwork = (*((uint8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__isge_uint8)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__isge_uint8)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__isge_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__isge_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__isge_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__isge_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__isge_uint8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__isge_uint8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t x = (*((uint8_t *) x_input)) ;
uint8_t *Bx = (uint8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint8_t bij = GBX (Bx, p, false) ;
Cx [p] = (x >= bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__isge_uint8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t *Ax = (uint8_t *) Ax_input ;
uint8_t y = (*((uint8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint8_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij >= y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x >= aij) ; \
}
GrB_Info GB (_bind1st_tran__isge_uint8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t x = (*((const uint8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij >= y) ; \
}
GrB_Info GB (_bind2nd_tran__isge_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t y = (*((const uint8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
LogSoftMax.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/LogSoftMax.c"
#else
void THNN_(LogSoftMax_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output)
{
real *input_data, *output_data;
ptrdiff_t nframe = 0, dim = 0, stride = 0;
ptrdiff_t t, d;
if (input->nDimension == 1)
{
nframe = 1;
dim = input->size[0];
stride = 1;
}
else if (input->nDimension == 2)
{
nframe = input->size[0];
dim = input->size[1];
stride = 1;
}
else if (input->nDimension == 3)
{
nframe = 1;
dim = input->size[0];
stride = input->size[1]*input->size[2];
}
else if (input->nDimension == 4)
{
nframe = input->size[0];
dim = input->size[1];
stride = input->size[2]*input->size[3];
}
else
THArgCheck(0, 2, "1D, 2D, 3D or 4D tensor expected");
input = THTensor_(newContiguous)(input);
THTensor_(resizeAs)(output, input);
real *input_data0 = THTensor_(data)(input);
real *output_data0 = THTensor_(data)(output);
accreal logsum;
real maxInput;
#pragma omp parallel for private(t, d, maxInput, logsum, input_data, output_data)
for (t = 0; t < stride*nframe; t++)
{
logsum = 0;
maxInput = -THInf;
input_data = input_data0 + (t/stride)*dim*stride + t % stride;
output_data = output_data0 + (t/stride)*dim*stride + t % stride;
for (d = 0; d < dim; d++)
maxInput = THMax(maxInput, input_data[d*stride]);
for (d = 0; d < dim; d++)
logsum += exp(input_data[d*stride] - maxInput);
logsum = maxInput + log(logsum);
for (d = 0; d < dim; d++)
output_data[d*stride] = input_data[d*stride] - logsum;
}
THTensor_(free)(input);
}
void THNN_(LogSoftMax_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output)
{
THNN_CHECK_SHAPE(input, gradOutput);
real *gradInput_data, *gradOutput_data, *output_data;
ptrdiff_t nframe = 0, dim = 0, stride = 0;
ptrdiff_t t, d;
if (output->nDimension == 1)
{
nframe = 1;
dim = output->size[0];
stride = 1;
}
else if (output->nDimension == 2)
{
nframe = output->size[0];
dim = output->size[1];
stride = 1;
}
else if (output->nDimension == 3)
{
nframe = 1;
dim = output->size[0];
stride = output->size[1]*output->size[2];
}
else if (output->nDimension == 4)
{
nframe = output->size[0];
dim = output->size[1];
stride = output->size[2]*output->size[3];
}
else
THError("1D, 2D, 3D or 4D tensor expected");
output = THTensor_(newContiguous)(output);
gradOutput = THTensor_(newContiguous)(gradOutput);
THTensor_(resizeAs)(gradInput, output);
real *gradInput_data0 = THTensor_(data)(gradInput);
real *output_data0 = THTensor_(data)(output);
real *gradOutput_data0 = THTensor_(data)(gradOutput);
accreal sum;
#pragma omp parallel for private(t, sum, d, gradInput_data, output_data, gradOutput_data)
for (t = 0; t < stride*nframe; t++)
{
sum = 0;
gradInput_data = gradInput_data0 + (t/stride)*dim*stride + t % stride;
output_data = output_data0 + (t/stride)*dim*stride + t % stride;
gradOutput_data = gradOutput_data0 + (t/stride)*dim*stride + t % stride;
for (d = 0; d < dim; d++)
sum += gradOutput_data[d*stride];
for (d = 0; d < dim; d++)
gradInput_data[d*stride] = gradOutput_data[d*stride] - exp(output_data[d*stride])*sum;
}
THTensor_(free)(gradOutput);
THTensor_(free)(output);
}
#endif
|
3d7pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 8;
tile_size[1] = 8;
tile_size[2] = 4;
tile_size[3] = 1024;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,4);t1++) {
lbp=max(ceild(t1,2),ceild(8*t1-Nt+3,8));
ubp=min(floord(Nt+Nz-4,8),floord(4*t1+Nz+1,8));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(8*t2-Nz,4)),t1);t3<=min(min(min(floord(Nt+Ny-4,4),floord(4*t1+Ny+5,4)),floord(8*t2+Ny+4,4)),floord(8*t1-8*t2+Nz+Ny+3,4));t3++) {
for (t4=max(max(max(0,ceild(t1-255,256)),ceild(8*t2-Nz-1020,1024)),ceild(4*t3-Ny-1020,1024));t4<=min(min(min(min(floord(4*t3+Nx,1024),floord(Nt+Nx-4,1024)),floord(4*t1+Nx+5,1024)),floord(8*t2+Nx+4,1024)),floord(8*t1-8*t2+Nz+Nx+3,1024));t4++) {
for (t5=max(max(max(max(max(0,4*t1),8*t1-8*t2+1),8*t2-Nz+2),4*t3-Ny+2),1024*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,4*t1+7),8*t2+6),4*t3+2),1024*t4+1022),8*t1-8*t2+Nz+5);t5++) {
for (t6=max(max(8*t2,t5+1),-8*t1+8*t2+2*t5-7);t6<=min(min(8*t2+7,-8*t1+8*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(4*t3,t5+1);t7<=min(4*t3+3,t5+Ny-2);t7++) {
lbv=max(1024*t4,t5+1);
ubv=min(1024*t4+1023,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = (((((((coef[0][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (coef[1][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)])) + (coef[2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)])) + (coef[3][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1])) + (coef[4][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)])) + (coef[5][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)])) + (coef[6][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1]));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
gimple-pretty-print.c | /* Pretty formatting of GIMPLE statements and expressions.
Copyright (C) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
2011 Free Software Foundation, Inc.
Contributed by Aldy Hernandez <aldyh@redhat.com> and
Diego Novillo <dnovillo@google.com>
This file is part of GCC.
GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3, or (at your option) any later
version.
GCC is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING3. If not see
<http://www.gnu.org/licenses/>. */
#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "tm.h"
#include "tree.h"
#include "diagnostic.h"
#include "tree-pretty-print.h"
#include "gimple-pretty-print.h"
#include "hashtab.h"
#include "tree-flow.h"
#include "tree-pass.h"
#include "gimple.h"
#include "value-prof.h"
#include "trans-mem.h"
#define INDENT(SPACE) \
do { int i; for (i = 0; i < SPACE; i++) pp_space (buffer); } while (0)
static pretty_printer buffer;
static bool initialized = false;
#define GIMPLE_NIY do_niy (buffer,gs)
/* Try to print on BUFFER a default message for the unrecognized
gimple statement GS. */
static void
do_niy (pretty_printer *buffer, gimple gs)
{
pp_printf (buffer, "<<< Unknown GIMPLE statement: %s >>>\n",
gimple_code_name[(int) gimple_code (gs)]);
}
/* Initialize the pretty printer on FILE if needed. */
static void
maybe_init_pretty_print (FILE *file)
{
if (!initialized)
{
pp_construct (&buffer, NULL, 0);
pp_needs_newline (&buffer) = true;
initialized = true;
}
buffer.buffer->stream = file;
}
/* Emit a newline and SPC indentantion spaces to BUFFER. */
static void
newline_and_indent (pretty_printer *buffer, int spc)
{
pp_newline (buffer);
INDENT (spc);
}
/* Print the GIMPLE statement GS on stderr. */
DEBUG_FUNCTION void
debug_gimple_stmt (gimple gs)
{
print_gimple_stmt (stderr, gs, 0, TDF_VOPS|TDF_MEMSYMS);
fprintf (stderr, "\n");
}
/* Dump GIMPLE statement G to FILE using SPC indentantion spaces and
FLAGS as in dump_gimple_stmt. */
void
print_gimple_stmt (FILE *file, gimple g, int spc, int flags)
{
maybe_init_pretty_print (file);
dump_gimple_stmt (&buffer, g, spc, flags);
pp_flush (&buffer);
}
/* Dump GIMPLE statement G to FILE using SPC indentantion spaces and
FLAGS as in dump_gimple_stmt. Print only the right-hand side
of the statement. */
void
print_gimple_expr (FILE *file, gimple g, int spc, int flags)
{
flags |= TDF_RHS_ONLY;
maybe_init_pretty_print (file);
dump_gimple_stmt (&buffer, g, spc, flags);
}
/* Print the GIMPLE sequence SEQ on BUFFER using SPC indentantion
spaces and FLAGS as in dump_gimple_stmt. */
static void
dump_gimple_seq (pretty_printer *buffer, gimple_seq seq, int spc, int flags)
{
gimple_stmt_iterator i;
for (i = gsi_start (seq); !gsi_end_p (i); gsi_next (&i))
{
gimple gs = gsi_stmt (i);
INDENT (spc);
dump_gimple_stmt (buffer, gs, spc, flags);
if (!gsi_one_before_end_p (i))
pp_newline (buffer);
}
}
/* Dump GIMPLE sequence SEQ to FILE using SPC indentantion spaces and
FLAGS as in dump_gimple_stmt. */
void
print_gimple_seq (FILE *file, gimple_seq seq, int spc, int flags)
{
maybe_init_pretty_print (file);
dump_gimple_seq (&buffer, seq, spc, flags);
pp_flush (&buffer);
}
/* Print the GIMPLE sequence SEQ on stderr. */
DEBUG_FUNCTION void
debug_gimple_seq (gimple_seq seq)
{
print_gimple_seq (stderr, seq, 0, TDF_VOPS|TDF_MEMSYMS);
}
/* A simple helper to pretty-print some of the gimple tuples in the printf
style. The format modifiers are preceeded by '%' and are:
'G' - outputs a string corresponding to the code of the given gimple,
'S' - outputs a gimple_seq with indent of spc + 2,
'T' - outputs the tree t,
'd' - outputs an int as a decimal,
's' - outputs a string,
'n' - outputs a newline,
'x' - outputs an int as hexadecimal,
'+' - increases indent by 2 then outputs a newline,
'-' - decreases indent by 2 then outputs a newline. */
static void
dump_gimple_fmt (pretty_printer *buffer, int spc, int flags,
const char *fmt, ...)
{
va_list args;
const char *c;
const char *tmp;
va_start (args, fmt);
for (c = fmt; *c; c++)
{
if (*c == '%')
{
gimple_seq seq;
tree t;
gimple g;
switch (*++c)
{
case 'G':
g = va_arg (args, gimple);
tmp = gimple_code_name[gimple_code (g)];
pp_string (buffer, tmp);
break;
case 'S':
seq = va_arg (args, gimple_seq);
pp_newline (buffer);
dump_gimple_seq (buffer, seq, spc + 2, flags);
newline_and_indent (buffer, spc);
break;
case 'T':
t = va_arg (args, tree);
if (t == NULL_TREE)
pp_string (buffer, "NULL");
else
dump_generic_node (buffer, t, spc, flags, false);
break;
case 'd':
pp_decimal_int (buffer, va_arg (args, int));
break;
case 's':
pp_string (buffer, va_arg (args, char *));
break;
case 'n':
newline_and_indent (buffer, spc);
break;
case 'x':
pp_scalar (buffer, "%x", va_arg (args, int));
break;
case '+':
spc += 2;
newline_and_indent (buffer, spc);
break;
case '-':
spc -= 2;
newline_and_indent (buffer, spc);
break;
default:
gcc_unreachable ();
}
}
else
pp_character (buffer, *c);
}
va_end (args);
}
/* Helper for dump_gimple_assign. Print the unary RHS of the
assignment GS. BUFFER, SPC and FLAGS are as in dump_gimple_stmt. */
static void
dump_unary_rhs (pretty_printer *buffer, gimple gs, int spc, int flags)
{
enum tree_code rhs_code = gimple_assign_rhs_code (gs);
tree lhs = gimple_assign_lhs (gs);
tree rhs = gimple_assign_rhs1 (gs);
switch (rhs_code)
{
case VIEW_CONVERT_EXPR:
case ASSERT_EXPR:
dump_generic_node (buffer, rhs, spc, flags, false);
break;
case FIXED_CONVERT_EXPR:
case ADDR_SPACE_CONVERT_EXPR:
case FIX_TRUNC_EXPR:
case FLOAT_EXPR:
CASE_CONVERT:
pp_character (buffer, '(');
dump_generic_node (buffer, TREE_TYPE (lhs), spc, flags, false);
pp_string (buffer, ") ");
if (op_prio (rhs) < op_code_prio (rhs_code))
{
pp_character (buffer, '(');
dump_generic_node (buffer, rhs, spc, flags, false);
pp_character (buffer, ')');
}
else
dump_generic_node (buffer, rhs, spc, flags, false);
break;
case PAREN_EXPR:
pp_string (buffer, "((");
dump_generic_node (buffer, rhs, spc, flags, false);
pp_string (buffer, "))");
break;
case ABS_EXPR:
pp_string (buffer, "ABS_EXPR <");
dump_generic_node (buffer, rhs, spc, flags, false);
pp_character (buffer, '>');
break;
default:
if (TREE_CODE_CLASS (rhs_code) == tcc_declaration
|| TREE_CODE_CLASS (rhs_code) == tcc_constant
|| TREE_CODE_CLASS (rhs_code) == tcc_reference
|| rhs_code == SSA_NAME
|| rhs_code == ADDR_EXPR
|| rhs_code == CONSTRUCTOR)
{
dump_generic_node (buffer, rhs, spc, flags, false);
break;
}
else if (rhs_code == BIT_NOT_EXPR)
pp_character (buffer, '~');
else if (rhs_code == TRUTH_NOT_EXPR)
pp_character (buffer, '!');
else if (rhs_code == NEGATE_EXPR)
pp_character (buffer, '-');
else
{
pp_character (buffer, '[');
pp_string (buffer, tree_code_name [rhs_code]);
pp_string (buffer, "] ");
}
if (op_prio (rhs) < op_code_prio (rhs_code))
{
pp_character (buffer, '(');
dump_generic_node (buffer, rhs, spc, flags, false);
pp_character (buffer, ')');
}
else
dump_generic_node (buffer, rhs, spc, flags, false);
break;
}
}
/* Helper for dump_gimple_assign. Print the binary RHS of the
assignment GS. BUFFER, SPC and FLAGS are as in dump_gimple_stmt. */
static void
dump_binary_rhs (pretty_printer *buffer, gimple gs, int spc, int flags)
{
const char *p;
enum tree_code code = gimple_assign_rhs_code (gs);
switch (code)
{
case COMPLEX_EXPR:
case MIN_EXPR:
case MAX_EXPR:
case VEC_WIDEN_MULT_HI_EXPR:
case VEC_WIDEN_MULT_LO_EXPR:
case VEC_PACK_TRUNC_EXPR:
case VEC_PACK_SAT_EXPR:
case VEC_PACK_FIX_TRUNC_EXPR:
case VEC_WIDEN_LSHIFT_HI_EXPR:
case VEC_WIDEN_LSHIFT_LO_EXPR:
for (p = tree_code_name [(int) code]; *p; p++)
pp_character (buffer, TOUPPER (*p));
pp_string (buffer, " <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_character (buffer, '>');
break;
default:
if (op_prio (gimple_assign_rhs1 (gs)) <= op_code_prio (code))
{
pp_character (buffer, '(');
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags,
false);
pp_character (buffer, ')');
}
else
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_space (buffer);
pp_string (buffer, op_symbol_code (gimple_assign_rhs_code (gs)));
pp_space (buffer);
if (op_prio (gimple_assign_rhs2 (gs)) <= op_code_prio (code))
{
pp_character (buffer, '(');
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags,
false);
pp_character (buffer, ')');
}
else
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
}
}
/* Helper for dump_gimple_assign. Print the ternary RHS of the
assignment GS. BUFFER, SPC and FLAGS are as in dump_gimple_stmt. */
static void
dump_ternary_rhs (pretty_printer *buffer, gimple gs, int spc, int flags)
{
const char *p;
enum tree_code code = gimple_assign_rhs_code (gs);
switch (code)
{
case WIDEN_MULT_PLUS_EXPR:
case WIDEN_MULT_MINUS_EXPR:
for (p = tree_code_name [(int) code]; *p; p++)
pp_character (buffer, TOUPPER (*p));
pp_string (buffer, " <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_character (buffer, '>');
break;
case FMA_EXPR:
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, " * ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, " + ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
break;
case DOT_PROD_EXPR:
pp_string (buffer, "DOT_PROD_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_string (buffer, ">");
break;
case VEC_PERM_EXPR:
pp_string (buffer, "VEC_PERM_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_string (buffer, ">");
break;
case REALIGN_LOAD_EXPR:
pp_string (buffer, "REALIGN_LOAD <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_string (buffer, ">");
break;
case COND_EXPR:
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, " ? ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, " : ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
break;
case VEC_COND_EXPR:
pp_string (buffer, "VEC_COND_EXPR <");
dump_generic_node (buffer, gimple_assign_rhs1 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs2 (gs), spc, flags, false);
pp_string (buffer, ", ");
dump_generic_node (buffer, gimple_assign_rhs3 (gs), spc, flags, false);
pp_string (buffer, ">");
break;
default:
gcc_unreachable ();
}
}
/* Dump the gimple assignment GS. BUFFER, SPC and FLAGS are as in
dump_gimple_stmt. */
static void
dump_gimple_assign (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
{
tree last;
if (gimple_num_ops (gs) == 2)
last = NULL_TREE;
else if (gimple_num_ops (gs) == 3)
last = gimple_assign_rhs2 (gs);
else
gcc_unreachable ();
dump_gimple_fmt (buffer, spc, flags, "%G <%s, %T, %T, %T>", gs,
tree_code_name[gimple_assign_rhs_code (gs)],
gimple_assign_lhs (gs), gimple_assign_rhs1 (gs), last);
}
else
{
if (!(flags & TDF_RHS_ONLY))
{
dump_generic_node (buffer, gimple_assign_lhs (gs), spc, flags, false);
pp_space (buffer);
pp_character (buffer, '=');
if (gimple_assign_nontemporal_move_p (gs))
pp_string (buffer, "{nt}");
if (gimple_has_volatile_ops (gs))
pp_string (buffer, "{v}");
pp_space (buffer);
}
if (gimple_num_ops (gs) == 2)
dump_unary_rhs (buffer, gs, spc, flags);
else if (gimple_num_ops (gs) == 3)
dump_binary_rhs (buffer, gs, spc, flags);
else if (gimple_num_ops (gs) == 4)
dump_ternary_rhs (buffer, gs, spc, flags);
else
gcc_unreachable ();
if (!(flags & TDF_RHS_ONLY))
pp_semicolon(buffer);
}
}
/* Dump the return statement GS. BUFFER, SPC and FLAGS are as in
dump_gimple_stmt. */
static void
dump_gimple_return (pretty_printer *buffer, gimple gs, int spc, int flags)
{
tree t;
t = gimple_return_retval (gs);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs, t);
else
{
pp_string (buffer, "return");
if (t)
{
pp_space (buffer);
dump_generic_node (buffer, t, spc, flags, false);
}
pp_semicolon (buffer);
}
}
/* Dump the call arguments for a gimple call. BUFFER, FLAGS are as in
dump_gimple_call. */
static void
dump_gimple_call_args (pretty_printer *buffer, gimple gs, int flags)
{
size_t i;
for (i = 0; i < gimple_call_num_args (gs); i++)
{
dump_generic_node (buffer, gimple_call_arg (gs, i), 0, flags, false);
if (i < gimple_call_num_args (gs) - 1)
pp_string (buffer, ", ");
}
if (gimple_call_va_arg_pack_p (gs))
{
if (gimple_call_num_args (gs) > 0)
{
pp_character (buffer, ',');
pp_space (buffer);
}
pp_string (buffer, "__builtin_va_arg_pack ()");
}
}
/* Dump the points-to solution *PT to BUFFER. */
static void
pp_points_to_solution (pretty_printer *buffer, struct pt_solution *pt)
{
if (pt->anything)
{
pp_string (buffer, "anything ");
return;
}
if (pt->nonlocal)
pp_string (buffer, "nonlocal ");
if (pt->escaped)
pp_string (buffer, "escaped ");
if (pt->ipa_escaped)
pp_string (buffer, "unit-escaped ");
if (pt->null)
pp_string (buffer, "null ");
if (pt->vars
&& !bitmap_empty_p (pt->vars))
{
bitmap_iterator bi;
unsigned i;
pp_string (buffer, "{ ");
EXECUTE_IF_SET_IN_BITMAP (pt->vars, 0, i, bi)
{
tree var = referenced_var_lookup (cfun, i);
if (var)
{
dump_generic_node (buffer, var, 0, dump_flags, false);
if (DECL_PT_UID (var) != DECL_UID (var))
{
pp_string (buffer, "ptD.");
pp_decimal_int (buffer, DECL_PT_UID (var));
}
}
else
{
pp_string (buffer, "D.");
pp_decimal_int (buffer, i);
}
pp_character (buffer, ' ');
}
pp_character (buffer, '}');
if (pt->vars_contains_global)
pp_string (buffer, " (glob)");
}
}
/* Dump the call statement GS. BUFFER, SPC and FLAGS are as in
dump_gimple_stmt. */
static void
dump_gimple_call (pretty_printer *buffer, gimple gs, int spc, int flags)
{
tree lhs = gimple_call_lhs (gs);
tree fn = gimple_call_fn (gs);
if (flags & TDF_ALIAS)
{
struct pt_solution *pt;
pt = gimple_call_use_set (gs);
if (!pt_solution_empty_p (pt))
{
pp_string (buffer, "# USE = ");
pp_points_to_solution (buffer, pt);
newline_and_indent (buffer, spc);
}
pt = gimple_call_clobber_set (gs);
if (!pt_solution_empty_p (pt))
{
pp_string (buffer, "# CLB = ");
pp_points_to_solution (buffer, pt);
newline_and_indent (buffer, spc);
}
}
if (flags & TDF_RAW)
{
if (gimple_call_internal_p (gs))
dump_gimple_fmt (buffer, spc, flags, "%G <%s, %T", gs,
internal_fn_name (gimple_call_internal_fn (gs)), lhs);
else
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %T", gs, fn, lhs);
if (gimple_call_num_args (gs) > 0)
{
pp_string (buffer, ", ");
dump_gimple_call_args (buffer, gs, flags);
}
pp_character (buffer, '>');
}
else
{
if (lhs && !(flags & TDF_RHS_ONLY))
{
dump_generic_node (buffer, lhs, spc, flags, false);
pp_string (buffer, " =");
if (gimple_has_volatile_ops (gs))
pp_string (buffer, "{v}");
pp_space (buffer);
}
if (gimple_call_internal_p (gs))
pp_string (buffer, internal_fn_name (gimple_call_internal_fn (gs)));
else
print_call_name (buffer, fn, flags);
pp_string (buffer, " (");
dump_gimple_call_args (buffer, gs, flags);
pp_character (buffer, ')');
if (!(flags & TDF_RHS_ONLY))
pp_semicolon (buffer);
}
if (gimple_call_chain (gs))
{
pp_string (buffer, " [static-chain: ");
dump_generic_node (buffer, gimple_call_chain (gs), spc, flags, false);
pp_character (buffer, ']');
}
if (gimple_call_return_slot_opt_p (gs))
pp_string (buffer, " [return slot optimization]");
if (gimple_call_tail_p (gs))
pp_string (buffer, " [tail call]");
if (fn == NULL)
return;
/* Dump the arguments of _ITM_beginTransaction sanely. */
if (TREE_CODE (fn) == ADDR_EXPR)
fn = TREE_OPERAND (fn, 0);
if (TREE_CODE (fn) == FUNCTION_DECL && decl_is_tm_clone (fn))
pp_string (buffer, " [tm-clone]");
if (TREE_CODE (fn) == FUNCTION_DECL
&& DECL_BUILT_IN_CLASS (fn) == BUILT_IN_NORMAL
&& DECL_FUNCTION_CODE (fn) == BUILT_IN_TM_START
&& gimple_call_num_args (gs) > 0)
{
tree t = gimple_call_arg (gs, 0);
unsigned HOST_WIDE_INT props;
gcc_assert (TREE_CODE (t) == INTEGER_CST);
pp_string (buffer, " [ ");
/* Get the transaction code properties. */
props = TREE_INT_CST_LOW (t);
if (props & PR_INSTRUMENTEDCODE)
pp_string (buffer, "instrumentedCode ");
if (props & PR_UNINSTRUMENTEDCODE)
pp_string (buffer, "uninstrumentedCode ");
if (props & PR_HASNOXMMUPDATE)
pp_string (buffer, "hasNoXMMUpdate ");
if (props & PR_HASNOABORT)
pp_string (buffer, "hasNoAbort ");
if (props & PR_HASNOIRREVOCABLE)
pp_string (buffer, "hasNoIrrevocable ");
if (props & PR_DOESGOIRREVOCABLE)
pp_string (buffer, "doesGoIrrevocable ");
if (props & PR_HASNOSIMPLEREADS)
pp_string (buffer, "hasNoSimpleReads ");
if (props & PR_AWBARRIERSOMITTED)
pp_string (buffer, "awBarriersOmitted ");
if (props & PR_RARBARRIERSOMITTED)
pp_string (buffer, "RaRBarriersOmitted ");
if (props & PR_UNDOLOGCODE)
pp_string (buffer, "undoLogCode ");
if (props & PR_PREFERUNINSTRUMENTED)
pp_string (buffer, "preferUninstrumented ");
if (props & PR_EXCEPTIONBLOCK)
pp_string (buffer, "exceptionBlock ");
if (props & PR_HASELSE)
pp_string (buffer, "hasElse ");
if (props & PR_READONLY)
pp_string (buffer, "readOnly ");
pp_string (buffer, "]");
}
}
/* Dump the switch statement GS. BUFFER, SPC and FLAGS are as in
dump_gimple_stmt. */
static void
dump_gimple_switch (pretty_printer *buffer, gimple gs, int spc, int flags)
{
unsigned int i;
GIMPLE_CHECK (gs, GIMPLE_SWITCH);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, ", gs,
gimple_switch_index (gs));
else
{
pp_string (buffer, "switch (");
dump_generic_node (buffer, gimple_switch_index (gs), spc, flags, true);
pp_string (buffer, ") <");
}
for (i = 0; i < gimple_switch_num_labels (gs); i++)
{
tree case_label = gimple_switch_label (gs, i);
if (case_label == NULL_TREE)
continue;
dump_generic_node (buffer, case_label, spc, flags, false);
pp_character (buffer, ' ');
dump_generic_node (buffer, CASE_LABEL (case_label), spc, flags, false);
if (i < gimple_switch_num_labels (gs) - 1)
pp_string (buffer, ", ");
}
pp_character (buffer, '>');
}
/* Dump the gimple conditional GS. BUFFER, SPC and FLAGS are as in
dump_gimple_stmt. */
static void
dump_gimple_cond (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%s, %T, %T, %T, %T>", gs,
tree_code_name [gimple_cond_code (gs)],
gimple_cond_lhs (gs), gimple_cond_rhs (gs),
gimple_cond_true_label (gs), gimple_cond_false_label (gs));
else
{
if (!(flags & TDF_RHS_ONLY))
pp_string (buffer, "if (");
dump_generic_node (buffer, gimple_cond_lhs (gs), spc, flags, false);
pp_space (buffer);
pp_string (buffer, op_symbol_code (gimple_cond_code (gs)));
pp_space (buffer);
dump_generic_node (buffer, gimple_cond_rhs (gs), spc, flags, false);
if (!(flags & TDF_RHS_ONLY))
{
pp_character (buffer, ')');
if (gimple_cond_true_label (gs))
{
pp_string (buffer, " goto ");
dump_generic_node (buffer, gimple_cond_true_label (gs),
spc, flags, false);
pp_semicolon (buffer);
}
if (gimple_cond_false_label (gs))
{
pp_string (buffer, " else goto ");
dump_generic_node (buffer, gimple_cond_false_label (gs),
spc, flags, false);
pp_semicolon (buffer);
}
}
}
}
/* Dump a GIMPLE_LABEL tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in tree-pass.h). */
static void
dump_gimple_label (pretty_printer *buffer, gimple gs, int spc, int flags)
{
tree label = gimple_label_label (gs);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs, label);
else
{
dump_generic_node (buffer, label, spc, flags, false);
pp_character (buffer, ':');
}
if (DECL_NONLOCAL (label))
pp_string (buffer, " [non-local]");
if ((flags & TDF_EH) && EH_LANDING_PAD_NR (label))
pp_printf (buffer, " [LP %d]", EH_LANDING_PAD_NR (label));
}
/* Dump a GIMPLE_GOTO tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in tree-pass.h). */
static void
dump_gimple_goto (pretty_printer *buffer, gimple gs, int spc, int flags)
{
tree label = gimple_goto_dest (gs);
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs, label);
else
dump_gimple_fmt (buffer, spc, flags, "goto %T;", label);
}
/* Dump a GIMPLE_BIND tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in tree-pass.h). */
static void
dump_gimple_bind (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <", gs);
else
pp_character (buffer, '{');
if (!(flags & TDF_SLIM))
{
tree var;
for (var = gimple_bind_vars (gs); var; var = DECL_CHAIN (var))
{
newline_and_indent (buffer, 2);
print_declaration (buffer, var, spc, flags);
}
if (gimple_bind_vars (gs))
pp_newline (buffer);
}
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_bind_body (gs), spc + 2, flags);
newline_and_indent (buffer, spc);
if (flags & TDF_RAW)
pp_character (buffer, '>');
else
pp_character (buffer, '}');
}
/* Dump a GIMPLE_TRY tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_try (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
{
const char *type;
if (gimple_try_kind (gs) == GIMPLE_TRY_CATCH)
type = "GIMPLE_TRY_CATCH";
else if (gimple_try_kind (gs) == GIMPLE_TRY_FINALLY)
type = "GIMPLE_TRY_FINALLY";
else
type = "UNKNOWN GIMPLE_TRY";
dump_gimple_fmt (buffer, spc, flags,
"%G <%s,%+EVAL <%S>%nCLEANUP <%S>%->", gs, type,
gimple_try_eval (gs), gimple_try_cleanup (gs));
}
else
{
pp_string (buffer, "try");
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_try_eval (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
if (gimple_try_kind (gs) == GIMPLE_TRY_CATCH)
{
newline_and_indent (buffer, spc);
pp_string (buffer, "catch");
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
}
else if (gimple_try_kind (gs) == GIMPLE_TRY_FINALLY)
{
newline_and_indent (buffer, spc);
pp_string (buffer, "finally");
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
}
else
pp_string (buffer, " <UNKNOWN GIMPLE_TRY> {");
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_try_cleanup (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
/* Dump a GIMPLE_CATCH tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_catch (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %+CATCH <%S>%->", gs,
gimple_catch_types (gs), gimple_catch_handler (gs));
else
dump_gimple_fmt (buffer, spc, flags, "catch (%T)%+{%S}",
gimple_catch_types (gs), gimple_catch_handler (gs));
}
/* Dump a GIMPLE_EH_FILTER tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_eh_filter (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %+FAILURE <%S>%->", gs,
gimple_eh_filter_types (gs),
gimple_eh_filter_failure (gs));
else
dump_gimple_fmt (buffer, spc, flags, "<<<eh_filter (%T)>>>%+{%+%S%-}",
gimple_eh_filter_types (gs),
gimple_eh_filter_failure (gs));
}
/* Dump a GIMPLE_EH_MUST_NOT_THROW tuple. */
static void
dump_gimple_eh_must_not_throw (pretty_printer *buffer, gimple gs,
int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs,
gimple_eh_must_not_throw_fndecl (gs));
else
dump_gimple_fmt (buffer, spc, flags, "<<<eh_must_not_throw (%T)>>>",
gimple_eh_must_not_throw_fndecl (gs));
}
/* Dump a GIMPLE_EH_ELSE tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_eh_else (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags,
"%G <%+N_BODY <%S>%nE_BODY <%S>%->", gs,
gimple_eh_else_n_body (gs), gimple_eh_else_e_body (gs));
else
dump_gimple_fmt (buffer, spc, flags,
"<<<if_normal_exit>>>%+{%S}%-<<<else_eh_exit>>>%+{%S}",
gimple_eh_else_n_body (gs), gimple_eh_else_e_body (gs));
}
/* Dump a GIMPLE_RESX tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_resx (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%d>", gs,
gimple_resx_region (gs));
else
dump_gimple_fmt (buffer, spc, flags, "resx %d", gimple_resx_region (gs));
}
/* Dump a GIMPLE_EH_DISPATCH tuple on the pretty_printer BUFFER. */
static void
dump_gimple_eh_dispatch (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%d>", gs,
gimple_eh_dispatch_region (gs));
else
dump_gimple_fmt (buffer, spc, flags, "eh_dispatch %d",
gimple_eh_dispatch_region (gs));
}
/* Dump a GIMPLE_DEBUG tuple on the pretty_printer BUFFER, SPC spaces
of indent. FLAGS specifies details to show in the dump (see TDF_*
in tree-pass.h). */
static void
dump_gimple_debug (pretty_printer *buffer, gimple gs, int spc, int flags)
{
switch (gs->gsbase.subcode)
{
case GIMPLE_DEBUG_BIND:
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G BIND <%T, %T>", gs,
gimple_debug_bind_get_var (gs),
gimple_debug_bind_get_value (gs));
else
dump_gimple_fmt (buffer, spc, flags, "# DEBUG %T => %T",
gimple_debug_bind_get_var (gs),
gimple_debug_bind_get_value (gs));
break;
case GIMPLE_DEBUG_SOURCE_BIND:
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G SRCBIND <%T, %T>", gs,
gimple_debug_source_bind_get_var (gs),
gimple_debug_source_bind_get_value (gs));
else
dump_gimple_fmt (buffer, spc, flags, "# DEBUG %T s=> %T",
gimple_debug_source_bind_get_var (gs),
gimple_debug_source_bind_get_value (gs));
break;
default:
gcc_unreachable ();
}
}
/* Dump a GIMPLE_OMP_FOR tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_for (pretty_printer *buffer, gimple gs, int spc, int flags)
{
size_t i;
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_for_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >,");
for (i = 0; i < gimple_omp_for_collapse (gs); i++)
dump_gimple_fmt (buffer, spc, flags,
"%+%T, %T, %T, %s, %T,%n",
gimple_omp_for_index (gs, i),
gimple_omp_for_initial (gs, i),
gimple_omp_for_final (gs, i),
tree_code_name[gimple_omp_for_cond (gs, i)],
gimple_omp_for_incr (gs, i));
dump_gimple_fmt (buffer, spc, flags, "PRE_BODY <%S>%->",
gimple_omp_for_pre_body (gs));
}
else
{
pp_string (buffer, "#pragma omp for");
dump_omp_clauses (buffer, gimple_omp_for_clauses (gs), spc, flags);
for (i = 0; i < gimple_omp_for_collapse (gs); i++)
{
if (i)
spc += 2;
newline_and_indent (buffer, spc);
pp_string (buffer, "for (");
dump_generic_node (buffer, gimple_omp_for_index (gs, i), spc,
flags, false);
pp_string (buffer, " = ");
dump_generic_node (buffer, gimple_omp_for_initial (gs, i), spc,
flags, false);
pp_string (buffer, "; ");
dump_generic_node (buffer, gimple_omp_for_index (gs, i), spc,
flags, false);
pp_space (buffer);
switch (gimple_omp_for_cond (gs, i))
{
case LT_EXPR:
pp_character (buffer, '<');
break;
case GT_EXPR:
pp_character (buffer, '>');
break;
case LE_EXPR:
pp_string (buffer, "<=");
break;
case GE_EXPR:
pp_string (buffer, ">=");
break;
default:
gcc_unreachable ();
}
pp_space (buffer);
dump_generic_node (buffer, gimple_omp_for_final (gs, i), spc,
flags, false);
pp_string (buffer, "; ");
dump_generic_node (buffer, gimple_omp_for_index (gs, i), spc,
flags, false);
pp_string (buffer, " = ");
dump_generic_node (buffer, gimple_omp_for_incr (gs, i), spc,
flags, false);
pp_character (buffer, ')');
}
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
}
/* Dump a GIMPLE_OMP_CONTINUE tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_continue (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %T>", gs,
gimple_omp_continue_control_def (gs),
gimple_omp_continue_control_use (gs));
}
else
{
pp_string (buffer, "#pragma omp continue (");
dump_generic_node (buffer, gimple_omp_continue_control_def (gs),
spc, flags, false);
pp_character (buffer, ',');
pp_space (buffer);
dump_generic_node (buffer, gimple_omp_continue_control_use (gs),
spc, flags, false);
pp_character (buffer, ')');
}
}
/* Dump a GIMPLE_OMP_SINGLE tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_single (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_single_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >");
}
else
{
pp_string (buffer, "#pragma omp single");
dump_omp_clauses (buffer, gimple_omp_single_clauses (gs), spc, flags);
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
}
/* Dump a GIMPLE_OMP_SECTIONS tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_sections (pretty_printer *buffer, gimple gs, int spc,
int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_sections_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >");
}
else
{
pp_string (buffer, "#pragma omp sections");
if (gimple_omp_sections_control (gs))
{
pp_string (buffer, " <");
dump_generic_node (buffer, gimple_omp_sections_control (gs), spc,
flags, false);
pp_character (buffer, '>');
}
dump_omp_clauses (buffer, gimple_omp_sections_clauses (gs), spc, flags);
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
}
/* Dump a GIMPLE_OMP_{MASTER,ORDERED,SECTION} tuple on the pretty_printer
BUFFER. */
static void
dump_gimple_omp_block (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S> >", gs,
gimple_omp_body (gs));
else
{
switch (gimple_code (gs))
{
case GIMPLE_OMP_MASTER:
pp_string (buffer, "#pragma omp master");
break;
case GIMPLE_OMP_ORDERED:
pp_string (buffer, "#pragma omp ordered");
break;
case GIMPLE_OMP_SECTION:
pp_string (buffer, "#pragma omp section");
break;
default:
gcc_unreachable ();
}
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
}
/* Dump a GIMPLE_OMP_CRITICAL tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_critical (pretty_printer *buffer, gimple gs, int spc,
int flags)
{
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S> >", gs,
gimple_omp_body (gs));
else
{
pp_string (buffer, "#pragma omp critical");
if (gimple_omp_critical_name (gs))
{
pp_string (buffer, " (");
dump_generic_node (buffer, gimple_omp_critical_name (gs), spc,
flags, false);
pp_character (buffer, ')');
}
if (!gimple_seq_empty_p (gimple_omp_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_omp_body (gs), spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
}
/* Dump a GIMPLE_OMP_RETURN tuple on the pretty_printer BUFFER. */
static void
dump_gimple_omp_return (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <nowait=%d>", gs,
(int) gimple_omp_return_nowait_p (gs));
}
else
{
pp_string (buffer, "#pragma omp return");
if (gimple_omp_return_nowait_p (gs))
pp_string (buffer, "(nowait)");
}
}
/* Dump a GIMPLE_TRANSACTION tuple on the pretty_printer BUFFER. */
static void
dump_gimple_transaction (pretty_printer *buffer, gimple gs, int spc, int flags)
{
unsigned subcode = gimple_transaction_subcode (gs);
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags,
"%G [SUBCODE=%x,LABEL=%T] <%+BODY <%S> >",
gs, subcode, gimple_transaction_label (gs),
gimple_transaction_body (gs));
}
else
{
if (subcode & GTMA_IS_OUTER)
pp_string (buffer, "__transaction_atomic [[outer]]");
else if (subcode & GTMA_IS_RELAXED)
pp_string (buffer, "__transaction_relaxed");
else
pp_string (buffer, "__transaction_atomic");
subcode &= ~GTMA_DECLARATION_MASK;
if (subcode || gimple_transaction_label (gs))
{
pp_string (buffer, " //");
if (gimple_transaction_label (gs))
{
pp_string (buffer, " LABEL=");
dump_generic_node (buffer, gimple_transaction_label (gs),
spc, flags, false);
}
if (subcode)
{
pp_string (buffer, " SUBCODE=[ ");
if (subcode & GTMA_HAVE_ABORT)
{
pp_string (buffer, "GTMA_HAVE_ABORT ");
subcode &= ~GTMA_HAVE_ABORT;
}
if (subcode & GTMA_HAVE_LOAD)
{
pp_string (buffer, "GTMA_HAVE_LOAD ");
subcode &= ~GTMA_HAVE_LOAD;
}
if (subcode & GTMA_HAVE_STORE)
{
pp_string (buffer, "GTMA_HAVE_STORE ");
subcode &= ~GTMA_HAVE_STORE;
}
if (subcode & GTMA_MAY_ENTER_IRREVOCABLE)
{
pp_string (buffer, "GTMA_MAY_ENTER_IRREVOCABLE ");
subcode &= ~GTMA_MAY_ENTER_IRREVOCABLE;
}
if (subcode & GTMA_DOES_GO_IRREVOCABLE)
{
pp_string (buffer, "GTMA_DOES_GO_IRREVOCABLE ");
subcode &= ~GTMA_DOES_GO_IRREVOCABLE;
}
if (subcode)
pp_printf (buffer, "0x%x ", subcode);
pp_string (buffer, "]");
}
}
if (!gimple_seq_empty_p (gimple_transaction_body (gs)))
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, gimple_transaction_body (gs),
spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
}
}
/* Dump a GIMPLE_ASM tuple on the pretty_printer BUFFER, SPC spaces of
indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_asm (pretty_printer *buffer, gimple gs, int spc, int flags)
{
unsigned int i, n, f, fields;
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+STRING <%n%s%n>", gs,
gimple_asm_string (gs));
n = gimple_asm_noutputs (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "OUTPUT: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_output_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
n = gimple_asm_ninputs (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "INPUT: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_input_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
n = gimple_asm_nclobbers (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "CLOBBER: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_clobber_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
n = gimple_asm_nlabels (gs);
if (n)
{
newline_and_indent (buffer, spc + 2);
pp_string (buffer, "LABEL: ");
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_label_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
}
newline_and_indent (buffer, spc);
pp_character (buffer, '>');
}
else
{
pp_string (buffer, "__asm__");
if (gimple_asm_volatile_p (gs))
pp_string (buffer, " __volatile__");
if (gimple_asm_nlabels (gs))
pp_string (buffer, " goto");
pp_string (buffer, "(\"");
pp_string (buffer, gimple_asm_string (gs));
pp_string (buffer, "\"");
if (gimple_asm_nlabels (gs))
fields = 4;
else if (gimple_asm_nclobbers (gs))
fields = 3;
else if (gimple_asm_ninputs (gs))
fields = 2;
else if (gimple_asm_noutputs (gs))
fields = 1;
else
fields = 0;
for (f = 0; f < fields; ++f)
{
pp_string (buffer, " : ");
switch (f)
{
case 0:
n = gimple_asm_noutputs (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_output_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
case 1:
n = gimple_asm_ninputs (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_input_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
case 2:
n = gimple_asm_nclobbers (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_clobber_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
case 3:
n = gimple_asm_nlabels (gs);
for (i = 0; i < n; i++)
{
dump_generic_node (buffer, gimple_asm_label_op (gs, i),
spc, flags, false);
if (i < n - 1)
pp_string (buffer, ", ");
}
break;
default:
gcc_unreachable ();
}
}
pp_string (buffer, ");");
}
}
/* Dump a PHI node PHI. BUFFER, SPC and FLAGS are as in
dump_gimple_stmt. */
static void
dump_gimple_phi (pretty_printer *buffer, gimple phi, int spc, int flags)
{
size_t i;
tree lhs = gimple_phi_result (phi);
if (flags & TDF_ALIAS
&& POINTER_TYPE_P (TREE_TYPE (lhs))
&& SSA_NAME_PTR_INFO (lhs))
{
struct ptr_info_def *pi = SSA_NAME_PTR_INFO (lhs);
pp_string (buffer, "PT = ");
pp_points_to_solution (buffer, &pi->pt);
newline_and_indent (buffer, spc);
if (pi->align != 1)
{
pp_printf (buffer, "# ALIGN = %u, MISALIGN = %u",
pi->align, pi->misalign);
newline_and_indent (buffer, spc);
}
pp_string (buffer, "# ");
}
if (flags & TDF_RAW)
dump_gimple_fmt (buffer, spc, flags, "%G <%T, ", phi,
gimple_phi_result (phi));
else
{
dump_generic_node (buffer, lhs, spc, flags, false);
pp_string (buffer, " = PHI <");
}
for (i = 0; i < gimple_phi_num_args (phi); i++)
{
if ((flags & TDF_LINENO) && gimple_phi_arg_has_location (phi, i))
{
expanded_location xloc;
xloc = expand_location (gimple_phi_arg_location (phi, i));
pp_character (buffer, '[');
if (xloc.file)
{
pp_string (buffer, xloc.file);
pp_string (buffer, " : ");
}
pp_decimal_int (buffer, xloc.line);
pp_string (buffer, ":");
pp_decimal_int (buffer, xloc.column);
pp_string (buffer, "] ");
}
dump_generic_node (buffer, gimple_phi_arg_def (phi, i), spc, flags,
false);
pp_character (buffer, '(');
pp_decimal_int (buffer, gimple_phi_arg_edge (phi, i)->src->index);
pp_character (buffer, ')');
if (i < gimple_phi_num_args (phi) - 1)
pp_string (buffer, ", ");
}
pp_character (buffer, '>');
}
/* Dump a GIMPLE_OMP_PARALLEL tuple on the pretty_printer BUFFER, SPC spaces
of indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_omp_parallel (pretty_printer *buffer, gimple gs, int spc,
int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_parallel_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >, %T, %T%n>",
gimple_omp_parallel_child_fn (gs),
gimple_omp_parallel_data_arg (gs));
}
else
{
gimple_seq body;
pp_string (buffer, "#pragma omp parallel");
dump_omp_clauses (buffer, gimple_omp_parallel_clauses (gs), spc, flags);
if (gimple_omp_parallel_child_fn (gs))
{
pp_string (buffer, " [child fn: ");
dump_generic_node (buffer, gimple_omp_parallel_child_fn (gs),
spc, flags, false);
pp_string (buffer, " (");
if (gimple_omp_parallel_data_arg (gs))
dump_generic_node (buffer, gimple_omp_parallel_data_arg (gs),
spc, flags, false);
else
pp_string (buffer, "???");
pp_string (buffer, ")]");
}
body = gimple_omp_body (gs);
if (body && gimple_code (gimple_seq_first_stmt (body)) != GIMPLE_BIND)
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
else if (body)
{
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 2, flags);
}
}
}
/* Dump a GIMPLE_OMP_TASK tuple on the pretty_printer BUFFER, SPC spaces
of indent. FLAGS specifies details to show in the dump (see TDF_* in
tree-pass.h). */
static void
dump_gimple_omp_task (pretty_printer *buffer, gimple gs, int spc,
int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%+BODY <%S>%nCLAUSES <", gs,
gimple_omp_body (gs));
dump_omp_clauses (buffer, gimple_omp_task_clauses (gs), spc, flags);
dump_gimple_fmt (buffer, spc, flags, " >, %T, %T, %T, %T, %T%n>",
gimple_omp_task_child_fn (gs),
gimple_omp_task_data_arg (gs),
gimple_omp_task_copy_fn (gs),
gimple_omp_task_arg_size (gs),
gimple_omp_task_arg_size (gs));
}
else
{
gimple_seq body;
pp_string (buffer, "#pragma omp task");
dump_omp_clauses (buffer, gimple_omp_task_clauses (gs), spc, flags);
if (gimple_omp_task_child_fn (gs))
{
pp_string (buffer, " [child fn: ");
dump_generic_node (buffer, gimple_omp_task_child_fn (gs),
spc, flags, false);
pp_string (buffer, " (");
if (gimple_omp_task_data_arg (gs))
dump_generic_node (buffer, gimple_omp_task_data_arg (gs),
spc, flags, false);
else
pp_string (buffer, "???");
pp_string (buffer, ")]");
}
body = gimple_omp_body (gs);
if (body && gimple_code (gimple_seq_first_stmt (body)) != GIMPLE_BIND)
{
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '{');
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 4, flags);
newline_and_indent (buffer, spc + 2);
pp_character (buffer, '}');
}
else if (body)
{
pp_newline (buffer);
dump_gimple_seq (buffer, body, spc + 2, flags);
}
}
}
/* Dump a GIMPLE_OMP_ATOMIC_LOAD tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see TDF_*
in tree-pass.h). */
static void
dump_gimple_omp_atomic_load (pretty_printer *buffer, gimple gs, int spc,
int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%T, %T>", gs,
gimple_omp_atomic_load_lhs (gs),
gimple_omp_atomic_load_rhs (gs));
}
else
{
pp_string (buffer, "#pragma omp atomic_load");
if (gimple_omp_atomic_need_value_p (gs))
pp_string (buffer, " [needed]");
newline_and_indent (buffer, spc + 2);
dump_generic_node (buffer, gimple_omp_atomic_load_lhs (gs),
spc, flags, false);
pp_space (buffer);
pp_character (buffer, '=');
pp_space (buffer);
pp_character (buffer, '*');
dump_generic_node (buffer, gimple_omp_atomic_load_rhs (gs),
spc, flags, false);
}
}
/* Dump a GIMPLE_OMP_ATOMIC_STORE tuple on the pretty_printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see TDF_*
in tree-pass.h). */
static void
dump_gimple_omp_atomic_store (pretty_printer *buffer, gimple gs, int spc,
int flags)
{
if (flags & TDF_RAW)
{
dump_gimple_fmt (buffer, spc, flags, "%G <%T>", gs,
gimple_omp_atomic_store_val (gs));
}
else
{
pp_string (buffer, "#pragma omp atomic_store ");
if (gimple_omp_atomic_need_value_p (gs))
pp_string (buffer, "[needed] ");
pp_character (buffer, '(');
dump_generic_node (buffer, gimple_omp_atomic_store_val (gs),
spc, flags, false);
pp_character (buffer, ')');
}
}
/* Dump all the memory operands for statement GS. BUFFER, SPC and
FLAGS are as in dump_gimple_stmt. */
static void
dump_gimple_mem_ops (pretty_printer *buffer, gimple gs, int spc, int flags)
{
tree vdef = gimple_vdef (gs);
tree vuse = gimple_vuse (gs);
if (!ssa_operands_active () || !gimple_references_memory_p (gs))
return;
if (vdef != NULL_TREE)
{
pp_string (buffer, "# ");
dump_generic_node (buffer, vdef, spc + 2, flags, false);
pp_string (buffer, " = VDEF <");
dump_generic_node (buffer, vuse, spc + 2, flags, false);
pp_character (buffer, '>');
newline_and_indent (buffer, spc);
}
else if (vuse != NULL_TREE)
{
pp_string (buffer, "# VUSE <");
dump_generic_node (buffer, vuse, spc + 2, flags, false);
pp_character (buffer, '>');
newline_and_indent (buffer, spc);
}
}
/* Dump the gimple statement GS on the pretty printer BUFFER, SPC
spaces of indent. FLAGS specifies details to show in the dump (see
TDF_* in tree-pass.h). */
void
dump_gimple_stmt (pretty_printer *buffer, gimple gs, int spc, int flags)
{
if (!gs)
return;
if (flags & TDF_STMTADDR)
pp_printf (buffer, "<&%p> ", (void *) gs);
if ((flags & TDF_LINENO) && gimple_has_location (gs))
{
expanded_location xloc = expand_location (gimple_location (gs));
pp_character (buffer, '[');
if (xloc.file)
{
pp_string (buffer, xloc.file);
pp_string (buffer, " : ");
}
pp_decimal_int (buffer, xloc.line);
pp_string (buffer, ":");
pp_decimal_int (buffer, xloc.column);
pp_string (buffer, "] ");
}
if (flags & TDF_EH)
{
int lp_nr = lookup_stmt_eh_lp (gs);
if (lp_nr > 0)
pp_printf (buffer, "[LP %d] ", lp_nr);
else if (lp_nr < 0)
pp_printf (buffer, "[MNT %d] ", -lp_nr);
}
if ((flags & (TDF_VOPS|TDF_MEMSYMS))
&& gimple_has_mem_ops (gs))
dump_gimple_mem_ops (buffer, gs, spc, flags);
if ((flags & TDF_ALIAS)
&& gimple_has_lhs (gs))
{
tree lhs = gimple_get_lhs (gs);
if (TREE_CODE (lhs) == SSA_NAME
&& POINTER_TYPE_P (TREE_TYPE (lhs))
&& SSA_NAME_PTR_INFO (lhs))
{
struct ptr_info_def *pi = SSA_NAME_PTR_INFO (lhs);
pp_string (buffer, "# PT = ");
pp_points_to_solution (buffer, &pi->pt);
newline_and_indent (buffer, spc);
if (pi->align != 1)
{
pp_printf (buffer, "# ALIGN = %u, MISALIGN = %u",
pi->align, pi->misalign);
newline_and_indent (buffer, spc);
}
}
}
switch (gimple_code (gs))
{
case GIMPLE_ASM:
dump_gimple_asm (buffer, gs, spc, flags);
break;
case GIMPLE_ASSIGN:
dump_gimple_assign (buffer, gs, spc, flags);
break;
case GIMPLE_BIND:
dump_gimple_bind (buffer, gs, spc, flags);
break;
case GIMPLE_CALL:
dump_gimple_call (buffer, gs, spc, flags);
break;
case GIMPLE_COND:
dump_gimple_cond (buffer, gs, spc, flags);
break;
case GIMPLE_LABEL:
dump_gimple_label (buffer, gs, spc, flags);
break;
case GIMPLE_GOTO:
dump_gimple_goto (buffer, gs, spc, flags);
break;
case GIMPLE_NOP:
pp_string (buffer, "GIMPLE_NOP");
break;
case GIMPLE_RETURN:
dump_gimple_return (buffer, gs, spc, flags);
break;
case GIMPLE_SWITCH:
dump_gimple_switch (buffer, gs, spc, flags);
break;
case GIMPLE_TRY:
dump_gimple_try (buffer, gs, spc, flags);
break;
case GIMPLE_PHI:
dump_gimple_phi (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_PARALLEL:
dump_gimple_omp_parallel (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_TASK:
dump_gimple_omp_task (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_ATOMIC_LOAD:
dump_gimple_omp_atomic_load (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_ATOMIC_STORE:
dump_gimple_omp_atomic_store (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_FOR:
dump_gimple_omp_for (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_CONTINUE:
dump_gimple_omp_continue (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_SINGLE:
dump_gimple_omp_single (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_RETURN:
dump_gimple_omp_return (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_SECTIONS:
dump_gimple_omp_sections (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_SECTIONS_SWITCH:
pp_string (buffer, "GIMPLE_SECTIONS_SWITCH");
break;
case GIMPLE_OMP_MASTER:
case GIMPLE_OMP_ORDERED:
case GIMPLE_OMP_SECTION:
dump_gimple_omp_block (buffer, gs, spc, flags);
break;
case GIMPLE_OMP_CRITICAL:
dump_gimple_omp_critical (buffer, gs, spc, flags);
break;
case GIMPLE_CATCH:
dump_gimple_catch (buffer, gs, spc, flags);
break;
case GIMPLE_EH_FILTER:
dump_gimple_eh_filter (buffer, gs, spc, flags);
break;
case GIMPLE_EH_MUST_NOT_THROW:
dump_gimple_eh_must_not_throw (buffer, gs, spc, flags);
break;
case GIMPLE_EH_ELSE:
dump_gimple_eh_else (buffer, gs, spc, flags);
break;
case GIMPLE_RESX:
dump_gimple_resx (buffer, gs, spc, flags);
break;
case GIMPLE_EH_DISPATCH:
dump_gimple_eh_dispatch (buffer, gs, spc, flags);
break;
case GIMPLE_DEBUG:
dump_gimple_debug (buffer, gs, spc, flags);
break;
case GIMPLE_PREDICT:
pp_string (buffer, "// predicted ");
if (gimple_predict_outcome (gs))
pp_string (buffer, "likely by ");
else
pp_string (buffer, "unlikely by ");
pp_string (buffer, predictor_name (gimple_predict_predictor (gs)));
pp_string (buffer, " predictor.");
break;
case GIMPLE_TRANSACTION:
dump_gimple_transaction (buffer, gs, spc, flags);
break;
default:
GIMPLE_NIY;
}
/* If we're building a diagnostic, the formatted text will be
written into BUFFER's stream by the caller; otherwise, write it
now. */
if (!(flags & TDF_DIAGNOSTIC))
pp_write_text_to_stream (buffer);
}
/* Dumps header of basic block BB to buffer BUFFER indented by INDENT
spaces and details described by flags. */
static void
dump_bb_header (pretty_printer *buffer, basic_block bb, int indent, int flags)
{
edge e;
gimple stmt;
edge_iterator ei;
if (flags & TDF_BLOCKS)
{
INDENT (indent);
pp_string (buffer, "# BLOCK ");
pp_decimal_int (buffer, bb->index);
if (bb->frequency)
{
pp_string (buffer, " freq:");
pp_decimal_int (buffer, bb->frequency);
}
if (bb->count)
{
pp_string (buffer, " count:");
pp_widest_integer (buffer, bb->count);
}
if (flags & TDF_LINENO)
{
gimple_stmt_iterator gsi;
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
if (!is_gimple_debug (gsi_stmt (gsi))
&& get_lineno (gsi_stmt (gsi)) != UNKNOWN_LOCATION)
{
pp_string (buffer, ", starting at line ");
pp_decimal_int (buffer, get_lineno (gsi_stmt (gsi)));
break;
}
if (bb->discriminator)
{
pp_string (buffer, ", discriminator ");
pp_decimal_int (buffer, bb->discriminator);
}
}
newline_and_indent (buffer, indent);
pp_string (buffer, "# PRED:");
pp_write_text_to_stream (buffer);
FOR_EACH_EDGE (e, ei, bb->preds)
if (flags & TDF_SLIM)
{
pp_character (buffer, ' ');
if (e->src == ENTRY_BLOCK_PTR)
pp_string (buffer, "ENTRY");
else
pp_decimal_int (buffer, e->src->index);
}
else
dump_edge_info (buffer->buffer->stream, e, 0);
pp_newline (buffer);
}
else
{
stmt = first_stmt (bb);
if (!stmt || gimple_code (stmt) != GIMPLE_LABEL)
{
INDENT (indent - 2);
pp_string (buffer, "<bb ");
pp_decimal_int (buffer, bb->index);
pp_string (buffer, ">:");
pp_newline (buffer);
}
}
pp_write_text_to_stream (buffer);
if (cfun)
check_bb_profile (bb, buffer->buffer->stream);
}
/* Dumps end of basic block BB to buffer BUFFER indented by INDENT
spaces. */
static void
dump_bb_end (pretty_printer *buffer, basic_block bb, int indent, int flags)
{
edge e;
edge_iterator ei;
INDENT (indent);
pp_string (buffer, "# SUCC:");
pp_write_text_to_stream (buffer);
FOR_EACH_EDGE (e, ei, bb->succs)
if (flags & TDF_SLIM)
{
pp_character (buffer, ' ');
if (e->dest == EXIT_BLOCK_PTR)
pp_string (buffer, "EXIT");
else
pp_decimal_int (buffer, e->dest->index);
}
else
dump_edge_info (buffer->buffer->stream, e, 1);
pp_newline (buffer);
}
/* Dump PHI nodes of basic block BB to BUFFER with details described
by FLAGS and indented by INDENT spaces. */
static void
dump_phi_nodes (pretty_printer *buffer, basic_block bb, int indent, int flags)
{
gimple_stmt_iterator i;
for (i = gsi_start_phis (bb); !gsi_end_p (i); gsi_next (&i))
{
gimple phi = gsi_stmt (i);
if (is_gimple_reg (gimple_phi_result (phi)) || (flags & TDF_VOPS))
{
INDENT (indent);
pp_string (buffer, "# ");
dump_gimple_phi (buffer, phi, indent, flags);
pp_newline (buffer);
}
}
}
/* Dump jump to basic block BB that is represented implicitly in the cfg
to BUFFER. */
static void
pp_cfg_jump (pretty_printer *buffer, basic_block bb)
{
gimple stmt;
stmt = first_stmt (bb);
pp_string (buffer, "goto <bb ");
pp_decimal_int (buffer, bb->index);
pp_character (buffer, '>');
if (stmt && gimple_code (stmt) == GIMPLE_LABEL)
{
pp_string (buffer, " (");
dump_generic_node (buffer, gimple_label_label (stmt), 0, 0, false);
pp_character (buffer, ')');
pp_semicolon (buffer);
}
else
pp_semicolon (buffer);
}
/* Dump edges represented implicitly in basic block BB to BUFFER, indented
by INDENT spaces, with details given by FLAGS. */
static void
dump_implicit_edges (pretty_printer *buffer, basic_block bb, int indent,
int flags)
{
edge e;
gimple stmt;
stmt = last_stmt (bb);
if (stmt && gimple_code (stmt) == GIMPLE_COND)
{
edge true_edge, false_edge;
/* When we are emitting the code or changing CFG, it is possible that
the edges are not yet created. When we are using debug_bb in such
a situation, we do not want it to crash. */
if (EDGE_COUNT (bb->succs) != 2)
return;
extract_true_false_edges_from_block (bb, &true_edge, &false_edge);
INDENT (indent + 2);
pp_cfg_jump (buffer, true_edge->dest);
newline_and_indent (buffer, indent);
pp_string (buffer, "else");
newline_and_indent (buffer, indent + 2);
pp_cfg_jump (buffer, false_edge->dest);
pp_newline (buffer);
return;
}
/* If there is a fallthru edge, we may need to add an artificial
goto to the dump. */
e = find_fallthru_edge (bb->succs);
if (e && e->dest != bb->next_bb)
{
INDENT (indent);
if ((flags & TDF_LINENO)
&& e->goto_locus != UNKNOWN_LOCATION
)
{
expanded_location goto_xloc;
goto_xloc = expand_location (e->goto_locus);
pp_character (buffer, '[');
if (goto_xloc.file)
{
pp_string (buffer, goto_xloc.file);
pp_string (buffer, " : ");
}
pp_decimal_int (buffer, goto_xloc.line);
pp_string (buffer, " : ");
pp_decimal_int (buffer, goto_xloc.column);
pp_string (buffer, "] ");
}
pp_cfg_jump (buffer, e->dest);
pp_newline (buffer);
}
}
/* Dumps basic block BB to buffer BUFFER with details described by FLAGS and
indented by INDENT spaces. */
static void
gimple_dump_bb_buff (pretty_printer *buffer, basic_block bb, int indent,
int flags)
{
gimple_stmt_iterator gsi;
gimple stmt;
int label_indent = indent - 2;
if (label_indent < 0)
label_indent = 0;
dump_bb_header (buffer, bb, indent, flags);
dump_phi_nodes (buffer, bb, indent, flags);
for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
{
int curr_indent;
stmt = gsi_stmt (gsi);
curr_indent = gimple_code (stmt) == GIMPLE_LABEL ? label_indent : indent;
INDENT (curr_indent);
dump_gimple_stmt (buffer, stmt, curr_indent, flags);
pp_newline (buffer);
dump_histograms_for_stmt (cfun, buffer->buffer->stream, stmt);
}
dump_implicit_edges (buffer, bb, indent, flags);
if (flags & TDF_BLOCKS)
dump_bb_end (buffer, bb, indent, flags);
}
/* Dumps basic block BB to FILE with details described by FLAGS and
indented by INDENT spaces. */
void
gimple_dump_bb (basic_block bb, FILE *file, int indent, int flags)
{
maybe_init_pretty_print (file);
gimple_dump_bb_buff (&buffer, bb, indent, flags);
pp_flush (&buffer);
}
|
openmp_array2.c | ///TAFFO_TEST_ARGS -Xvra -propagate-all -fopenmp
#include <omp.h>
#include <stdio.h>
#define MAX_N (100)
float compute_thread_result(int index, float private_multiplier)
{
return index * private_multiplier;
}
int main(int argc, char *argv[])
{
float result_container[MAX_N] __attribute((annotate("target('array') scalar(range(0,100) final)")));
float multipliers_container[MAX_N] __attribute__((annotate("target('multipliers_container') scalar(range(0,1000) final)")));
float result __attribute__((annotate("target('result') scalar(range(0,10000) final)"))) = 0;
int i = 0;
float private_multiplier __attribute__((annotate("target('private_multiplier') scalar(range(0,25) final)")));
#pragma omp parallel for private(private_multiplier) num_threads(4) schedule(static)
{
for (i = 0; i < MAX_N; i++) {
private_multiplier = 5.43;
// Do computation on private variables
private_multiplier *= omp_get_thread_num();
multipliers_container[i] = private_multiplier;
// Save in the shared variable accessed
result_container[i] = compute_thread_result(i, multipliers_container[i]);
}
}
for (i = 0; i < MAX_N; i++) {
result += result_container[i];
}
printf("result: %f\n", result);
}
|
parallelfor.c | /*
* Combined parallel for
* with multiple clauses
* */
int main(void)
{
int i, a[1000];
int sum;
#pragma omp parallel for if(1) ordered reduction(+:sum) schedule(dynamic, 5)
for (i=0;i<1000;i++)
{
a[i]=i*2;
sum+=i;
}
return 0;
}
|
GB_unop__floor_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__floor_fp64_fp64)
// op(A') function: GB (_unop_tran__floor_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = floor (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 = floor (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] = floor (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_FLOOR || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__floor_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] = floor (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] = floor (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__floor_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
|
for_simd_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -fopenmp-version=45 -verify=expected,omp45 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp -fopenmp-version=50 -verify=expected,omp50 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -fopenmp-version=45 -verify=expected,omp45 -verify %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -fopenmp-version=50 -verify=expected,omp50 -verify %s -Wuninitialized
void xxx(int argc) {
int x; // expected-note {{initialize the variable 'x' to silence this warning}}
#pragma omp for simd
for (int i = 0; i < 10; ++i)
argc = x; // expected-warning {{variable 'x' is uninitialized when used here}}
}
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp for simd'}}
#pragma omp for simd
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp for simd'}}
#pragma omp for simd foo
void test_no_clause() {
int i;
#pragma omp for simd
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{statement after '#pragma omp for simd' must be a for loop}}
#pragma omp for simd
++i;
}
void test_branch_protected_scope() {
int i = 0;
L1:
++i;
int x[24];
#pragma omp parallel
#pragma omp for simd
for (i = 0; i < 16; ++i) {
if (i == 5)
goto L1; // expected-error {{use of undeclared label 'L1'}}
else if (i == 6)
return; // expected-error {{cannot return from OpenMP region}}
else if (i == 7)
goto L2;
else if (i == 8) {
L2:
x[i]++;
}
}
if (x[0] == 0)
goto L2; // expected-error {{use of undeclared label 'L2'}}
else if (x[1] == 1)
goto L1;
}
void test_invalid_clause() {
int i;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd foo bar
for (i = 0; i < 16; ++i)
;
}
void test_non_identifiers() {
int i, x;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd;
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd linear(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd private(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd, private(x);
for (i = 0; i < 16; ++i)
;
}
extern int foo();
void test_safelen() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp for simd safelen
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd safelen()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp for simd safelen 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd safelen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd safelen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4, 8)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{integer constant expression}}
#pragma omp for simd safelen(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{integer constant expression}}
#pragma omp for simd safelen(foo())
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp for simd safelen(-5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp for simd safelen(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp for simd safelen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_simdlen() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp for simd simdlen
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd simdlen()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp for simd simdlen 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd simdlen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd simdlen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4, 8)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{integer constant expression}}
#pragma omp for simd simdlen(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{integer constant expression}}
#pragma omp for simd simdlen(foo())
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp for simd simdlen(-5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp for simd simdlen(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp for simd simdlen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_safelen_simdlen() {
int i;
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp for simd simdlen(6) safelen(5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp for simd safelen(5) simdlen(6)
for (i = 0; i < 16; ++i)
;
}
void test_collapse() {
int i;
#pragma omp parallel
// expected-error@+1 {{expected '('}}
#pragma omp for simd collapse
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd collapse(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd collapse()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd collapse(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd collapse(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+2 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp for simd collapse 4)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
#pragma omp for simd collapse(4)
for (int i1 = 0; i1 < 16; ++i1)
for (int i2 = 0; i2 < 16; ++i2)
for (int i3 = 0; i3 < 16; ++i3)
for (int i4 = 0; i4 < 16; ++i4)
foo();
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+1 {{integer constant expression}}
#pragma omp for simd collapse(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{integer constant expression}}
#pragma omp for simd collapse(foo())
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp for simd collapse(-5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp for simd collapse(0)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp for simd collapse(5 - 5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd collapse(2)
for (i = 0; i < 16; ++i) // expected-note {{defined as lastprivate}}
// expected-note@+1 {{variable with automatic storage duration is predetermined as private; perhaps you forget to enclose 'omp for simd' directive into a parallel or another task region?}}
for (int j = 0; j < 16; ++j)
// expected-error@+2 2 {{reduction variable must be shared}}
// expected-error@+1 {{OpenMP constructs may not be nested inside a simd region}}
#pragma omp for simd reduction(+ : i, j)
for (int k = 0; k < 16; ++k)
i += j;
}
void test_linear() {
int i;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp for simd linear(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp for simd linear(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp for simd linear(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp for simd linear(x, y, z)
for (i = 0; i < 16; ++i)
;
int x, y;
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear(x :)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(x :, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd linear(x : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd linear(x : 2 * 2)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(x : 1, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(x : 1, y, z : 1)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be linear}}
#pragma omp for simd linear(x) linear(x)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as private}}
// expected-error@+1 {{private variable cannot be linear}}
#pragma omp for simd private(x) linear(x)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be private}}
#pragma omp for simd linear(x) private(x)
for (i = 0; i < 16; ++i)
;
// expected-warning@+1 {{zero linear step (x and other variables in clause should probably be const)}}
#pragma omp for simd linear(x, y : 0)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be lastprivate}}
#pragma omp for simd linear(x) lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-note@+2 {{defined as lastprivate}}
// expected-error@+1 {{lastprivate variable cannot be linear}}
#pragma omp for simd lastprivate(x) linear(x)
for (i = 0; i < 16; ++i)
;
}
void test_aligned() {
int i;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp for simd aligned(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp for simd aligned(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp for simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp for simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
int *x, y, z[25]; // expected-note 4 {{'y' defined here}}
#pragma omp for simd aligned(x)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd aligned(z)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned(x :)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(x :, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd aligned(x : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd aligned(x : 2 * 2)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(x : 1, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(x : 1, y, z : 1)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp for simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp for simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as aligned}}
// expected-error@+1 {{a variable cannot appear in more than one aligned clause}}
#pragma omp for simd aligned(x) aligned(z, x)
for (i = 0; i < 16; ++i)
;
// expected-note@+3 {{defined as aligned}}
// expected-error@+2 {{a variable cannot appear in more than one aligned clause}}
// expected-error@+1 2 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp for simd aligned(x, y, z) aligned(y, z)
for (i = 0; i < 16; ++i)
;
}
void test_private() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd private(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd private(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd private(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd private()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd private(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp for simd private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp for simd private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd private(x, y, z)
for (i = 0; i < 16; ++i) {
x = y * i + z;
}
}
void test_lastprivate() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd lastprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd lastprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd lastprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd lastprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd lastprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp for simd lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp for simd lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_firstprivate() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd firstprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd firstprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd firstprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd firstprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd firstprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp for simd firstprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp for simd lastprivate(x) firstprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y) firstprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y, z) firstprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_loop_messages() {
float a[100], b[100], c[100];
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp for simd
for (float fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp for simd
for (double fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
}
void test_nontemporal() {
int i;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd nontemporal(
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 2 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd nontemporal(,
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 2 {{expected expression}}
#pragma omp for simd nontemporal(, )
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{expected expression}}
#pragma omp for simd nontemporal()
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{expected expression}}
#pragma omp for simd nontemporal(int)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} omp50-error@+1 {{expected variable name}}
#pragma omp for simd nontemporal(0)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp for simd nontemporal(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp for simd nontemporal(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp for simd nontemporal(x, y, z)
for (i = 0; i < 16; ++i)
;
int x, y;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd nontemporal(x :)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}}
#pragma omp for simd nontemporal(x :, )
for (i = 0; i < 16; ++i)
;
// omp50-note@+2 {{defined as nontemporal}}
// omp45-error@+1 2 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} omp50-error@+1 {{a variable cannot appear in more than one nontemporal clause}}
#pragma omp for simd nontemporal(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}}
#pragma omp for simd private(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}}
#pragma omp for simd nontemporal(x) private(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}}
#pragma omp for simd nontemporal(x, y : 0)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}}
#pragma omp for simd nontemporal(x) lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp for simd'}}
#pragma omp for simd lastprivate(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd order // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp for simd'}} expected-error {{expected '(' after 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp for simd order( // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp for simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}} omp50-error {{expected 'concurrent' in OpenMP clause 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp for simd order(none // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp for simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}} omp50-error {{expected 'concurrent' in OpenMP clause 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp for simd order(concurrent // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp for simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = 0; i < 10; ++i)
;
#pragma omp for simd order(concurrent) // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp for simd'}}
for (int i = 0; i < 10; ++i)
;
}
|
owl_matrix_swap_impl_omp.h | /*
* OWL - OCaml Scientific and Engineering Computing
* Copyright (c) 2016-2019 Liang Wang <liang.wang@cl.cam.ac.uk>
*/
#ifdef OWL_ENABLE_TEMPLATE
// swap row i and row j in x(m,n)
void FUNCTION (c, swap_rows) (TYPE *x, int m, int n, int i, int j) {
if (i != j) {
TYPE * src = x + n * i;
TYPE * dst = x + n * j;
if (n >= OWL_OMP_THRESHOLD_DEFAULT) {
#pragma omp parallel for schedule(static)
for (int k = 0; k < n; k++) {
TYPE t = *(src + k);
*(src + k) = *(dst + k);
*(dst + k) = t;
}
}
else {
for (int k = 0; k < n; k++) {
TYPE t = *(src + k);
*(src + k) = *(dst + k);
*(dst + k) = t;
}
}
}
}
// stub function of swap_rows
CAMLprim value FUNCTION (stub, swap_rows) (value vX, value vM, value vN, value vI, value vJ) {
struct caml_ba_array *X = Caml_ba_array_val(vX);
TYPE *X_data = (TYPE *) X->data;
int m = Long_val(vM);
int n = Long_val(vN);
int i = Long_val(vI);
int j = Long_val(vJ);
FUNCTION (c, swap_rows) (X_data, m, n, i, j);
return Val_unit;
}
// swap column i and colum j in x(m,n)
void FUNCTION (c, swap_cols) (TYPE *x, int m, int n, int i, int j) {
if (i != j) {
TYPE * src = x + i;
TYPE * dst = x + j;
if (m >= OWL_OMP_THRESHOLD_DEFAULT) {
#pragma omp parallel for schedule(static)
for (int k = 0; k < m; k++) {
int base = k * n;
TYPE t = *(src + base);
*(src + base) = *(dst + base);
*(dst + base) = t;
}
}
else {
int base = 0;
for (int k = 0; k < m; k++) {
TYPE t = *(src + base);
*(src + base) = *(dst + base);
*(dst + base) = t;
base += n;
}
}
}
}
// stub function of swap_cols
CAMLprim value FUNCTION (stub, swap_cols) (value vX, value vM, value vN, value vI, value vJ) {
struct caml_ba_array *X = Caml_ba_array_val(vX);
TYPE *X_data = (TYPE *) X->data;
int m = Long_val(vM);
int n = Long_val(vN);
int i = Long_val(vI);
int j = Long_val(vJ);
FUNCTION (c, swap_cols) (X_data, m, n, i, j);
return Val_unit;
}
// transpose x(m,n) and save to y(n,m)
void FUNCTION (c, transpose) (TYPE *x, TYPE *y, int m, int n) {
int ofsx = 0;
int ofsy = 0;
if (m >= OWL_OMP_THRESHOLD_DEFAULT / 100) {
#pragma omp parallel for schedule(static)
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
*(y + i + j * m) = *(x + j + i * n);
}
}
}
else {
for (int i = 0; i < m; i++) {
ofsy = i;
for (int j = 0; j < n; j++) {
*(y + ofsy) = *(x + ofsx);
ofsy += m;
ofsx += 1;
}
}
}
}
// stub function of transpose
CAMLprim value FUNCTION (stub, transpose) (value vX, value vY) {
struct caml_ba_array *X = Caml_ba_array_val(vX);
TYPE *X_data = (TYPE *) X->data;
struct caml_ba_array *Y = Caml_ba_array_val(vY);
TYPE *Y_data = (TYPE *) Y->data;
FUNCTION (c, transpose) (X_data, Y_data, X->dim[0], X->dim[1]);
return Val_unit;
}
// conjugate transpose x(m,n) and save to y(n,m)
void FUNCTION (c, ctranspose) (TYPE *x, TYPE *y, int m, int n) {
int ofsx = 0;
int ofsy = 0;
if (m >= OWL_OMP_THRESHOLD_DEFAULT / 100) {
#pragma omp parallel for schedule(static)
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
*(y + i + j * m) = CONJ_FUN(*(x + j + i * n));
}
}
}
else {
for (int i = 0; i < m; i++) {
ofsy = i;
for (int j = 0; j < n; j++) {
*(y + ofsy) = CONJ_FUN(*(x + ofsx));
ofsy += m;
ofsx += 1;
}
}
}
}
// stub function of ctranspose
CAMLprim value FUNCTION (stub, ctranspose) (value vX, value vY) {
struct caml_ba_array *X = Caml_ba_array_val(vX);
TYPE *X_data = (TYPE *) X->data;
struct caml_ba_array *Y = Caml_ba_array_val(vY);
TYPE *Y_data = (TYPE *) Y->data;
FUNCTION (c, ctranspose) (X_data, Y_data, X->dim[0], X->dim[1]);
return Val_unit;
}
#endif /* OWL_ENABLE_TEMPLATE */
|
matrix_base.h | #ifndef MATRIX_BASE_H_
#define MATRIX_BASE_H_
namespace acspo {
template <typename T>
class matrix {
private:
std::shared_ptr<T> _refs;
T *_data;
unsigned int _rows, _cols, _elem;
public:
matrix();
matrix(unsigned int rows, unsigned int cols);
matrix(std::pair<unsigned int, unsigned int> size);
matrix(unsigned int rows, unsigned int cols, T *data);
matrix(std::pair<unsigned int, unsigned int> size, T *_data);
unsigned int rows() const;
unsigned int cols() const;
std::pair<unsigned int, unsigned int> size() const;
unsigned int elem() const;
T & at(unsigned int i, unsigned int j);
T & operator()(unsigned int i, unsigned int j);
const T & at(unsigned int i, unsigned int j) const;
const T & operator()(unsigned int i, unsigned int j) const;
T & at(std::pair<unsigned int, unsigned int> ij);
T & operator()(std::pair<unsigned int, unsigned int> ij);
const T & at(std::pair<unsigned int, unsigned int> ij) const;
const T & operator()(std::pair<unsigned int, unsigned int> ij) const;
T & at(unsigned int i);
T & operator()(unsigned int i);
const T & at(unsigned int i) const;
const T & operator()(unsigned int i) const;
T * ptr(unsigned int i = 0);
T * operator[](unsigned int i);
const T * ptr(unsigned int i = 0) const;
const T * operator[](unsigned int i) const;
matrix & copy(const matrix &mat);
matrix & assign(const T &val);
matrix & assign(const T &val, const matrix<bool> &mask);
matrix & assign(const T &val1, const T &val2, const matrix<bool> &mask);
matrix & create(unsigned int rows, unsigned int cols);
matrix & create(std::pair<unsigned int, unsigned int> size);
matrix clone() const;
static matrix zeros(unsigned int rows, unsigned int cols);
static matrix zeros(std::pair<unsigned int, unsigned int> size);
template <typename S>
matrix<S> convert() const;
void write(const std::string &name, bool newline = true) const;
void write(std::ostream &os, bool newline = true) const;
};
template <typename T>
matrix<T>::matrix()
{
_rows = 0;
_cols = 0;
_elem = 0;
}
template <typename T>
matrix<T>::matrix(unsigned int rows, unsigned int cols)
{
_rows = 0;
_cols = 0;
_elem = 0;
create(rows, cols);
}
template <typename T>
matrix<T>::matrix(std::pair<unsigned int, unsigned int> size)
{
_rows = 0;
_cols = 0;
_elem = 0;
create(size);
}
template <typename T>
matrix<T>::matrix(unsigned int rows, unsigned int cols, T *data)
{
_rows = rows;
_cols = cols;
_elem = rows*cols;
_data = data;
}
template <typename T>
matrix<T>::matrix(std::pair<unsigned int, unsigned int> size, T *data)
{
_rows = size.first;
_cols = size.second;
_elem = size.first*size.second;
_data = data;
}
template <typename T>
unsigned int matrix<T>::rows() const
{
return _rows;
}
template <typename T>
unsigned int matrix<T>::cols() const
{
return _cols;
}
template <typename T>
std::pair<unsigned int, unsigned int> matrix<T>::size() const
{
return std::make_pair(_rows, _cols);
}
template <typename T>
unsigned int matrix<T>::elem() const
{
return _elem;
}
template <typename T>
T & matrix<T>::at(unsigned int i, unsigned int j)
{
return const_cast<T &>(static_cast<const matrix<T> &>(*this).at(i, j));
}
template <typename T>
T & matrix<T>::operator()(unsigned int i, unsigned int j)
{
return at(i, j);
}
template <typename T>
T & matrix<T>::at(std::pair<unsigned int, unsigned int> ij)
{
return at(ij.first, ij.second);
}
template <typename T>
T & matrix<T>::operator()(std::pair<unsigned int, unsigned int> ij)
{
return at(ij.first, ij.second);
}
template <typename T>
T & matrix<T>::at(unsigned int i)
{
return const_cast<T &>(static_cast<const matrix<T> &>(*this).at(i));
}
template <typename T>
T & matrix<T>::operator()(unsigned int i)
{
return at(i);
}
template <typename T>
const T & matrix<T>::at(unsigned int i, unsigned int j) const
{
#ifndef NDEBUG
if (i >= _rows) {
throw std::out_of_range("row is out of range");
}
if (j >= _cols) {
throw std::out_of_range("column is out of range");
}
#endif
return _data[i*_cols+j];
}
template <typename T>
const T & matrix<T>::operator()(unsigned int i, unsigned int j) const
{
return at(i, j);
}
template <typename T>
const T & matrix<T>::at(std::pair<unsigned int, unsigned int> ij) const
{
return at(ij.first, ij.second);
}
template <typename T>
const T & matrix<T>::operator()(std::pair<unsigned int, unsigned int> ij) const
{
return at(ij.first, ij.second);
}
template <typename T>
const T & matrix<T>::at(unsigned int i) const
{
#ifndef NDEBUG
if (i >= _elem) {
throw std::out_of_range("element is out of range");
}
#endif
return _data[i];
}
template <typename T>
const T & matrix<T>::operator()(unsigned int i) const
{
return at(i);
}
template <typename T>
T * matrix<T>::ptr(unsigned int i)
{
return const_cast<T *>(static_cast<const matrix<T> &>(*this).ptr(i));
}
template <typename T>
T * matrix<T>::operator[](unsigned int i)
{
return ptr(i);
}
template <typename T>
const T * matrix<T>::ptr(unsigned int i) const
{
#ifndef NDEBUG
if (i >= _rows) {
throw std::out_of_range("row is out of range");
}
#endif
return &_data[i*_cols];
}
template <typename T>
const T * matrix<T>::operator[](unsigned int i) const
{
return ptr(i);
}
template <typename T>
matrix<T> & matrix<T>::copy(const matrix &mat)
{
if (size() != mat.size()) {
throw std::invalid_argument("dimension mismatch");
}
#pragma omp parallel for
for (int i = 0; i < _elem; i++) {
_data[i] = mat._data[i];
}
return *this;
}
template <typename T>
matrix<T> matrix<T>::clone() const
{
return matrix(_rows, _cols).copy(*this);
}
template <typename T>
template <typename S>
matrix<S> matrix<T>::convert() const
{
matrix<S> ret(_rows, _cols);
S *ptr = ret.ptr();
#pragma omp parallel for
for (unsigned int i = 0; i < _elem; i++) {
ptr[i] = _data[i];
}
return ret;
}
template <typename T>
void matrix<T>::write(std::ostream &os, bool newline) const
{
for (unsigned int i = 0; i < _rows; i++) {
for (unsigned int j = 0; j < _cols; j++) {
os << at(i, j);
if (j < _cols-1) {
os << " ";
}
}
if (i < _rows-1) {
os << std::endl;
}
}
if (newline) {
os << std::endl;
}
}
template <typename T>
void matrix<T>::write(const std::string &name, bool newline) const
{
std::ofstream os(name);
write(os, newline);
}
template <typename T>
std::ostream & operator<<(std::ostream &os, const matrix<T> &mat)
{
os << mat.rows() << " x " << mat.cols() << " matrix:" << std::endl;
mat.write(os, false);
return os;
}
template <typename T>
matrix<T> & matrix<T>::assign(const T &val)
{
#pragma omp parallel for
for (unsigned int i = 0; i < _elem; i++) {
_data[i] = val;
}
return *this;
}
template <typename T>
matrix<T> & matrix<T>::assign(const T &val, const matrix<bool> &mask)
{
if (size() != mask.size()) {
throw std::invalid_argument("dimension mismatch");
}
const bool *ptr = mask.ptr();
#pragma omp parallel for
for (unsigned int i = 0; i < _elem; i++) {
if (ptr[i]) {
_data[i] = val;
}
}
return *this;
}
template <typename T>
matrix<T> & matrix<T>::assign(const T &val1, const T &val2, const matrix<bool> &mask)
{
if (size() != mask.size()) {
throw std::invalid_argument("dimension mismatch");
}
const bool *ptr = mask.ptr();
#pragma omp parallel for
for (unsigned int i = 0; i < _elem; i++) {
if (ptr[i]) {
_data[i] = val1;
} else {
_data[i] = val2;
}
}
return *this;
}
template <typename T>
matrix<T> & matrix<T>::create(unsigned int rows, unsigned int cols)
{
unsigned int elem = rows*cols;
if (elem == _elem) {
_rows = rows;
_cols = cols;
return *this;
}
_rows = rows;
_cols = cols;
_elem = elem;
_refs.reset();
_data = new T[_elem];
_refs.reset(_data, std::default_delete<T[]>());
return *this;
}
template <typename T>
matrix<T> & matrix<T>::create(std::pair<unsigned int, unsigned int> size)
{
return create(size.first, size.second);
}
template <typename T>
matrix<T> matrix<T>::zeros(unsigned int rows, unsigned int cols)
{
return matrix(rows, cols).assign(0);
}
template <typename T>
matrix<T> matrix<T>::zeros(std::pair<unsigned int, unsigned int> size)
{
return matrix(size).assign(0);
}
}
#endif
|
distribute_simd_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -fopenmp-version=45 -verify=expected,omp45 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp -fopenmp-version=50 -verify=expected,omp50 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -fopenmp-version=45 -verify=expected,omp45 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -fopenmp-version=50 -verify=expected,omp50 %s -Wuninitialized
void xxx(int argc) {
int x; // expected-note {{initialize the variable 'x' to silence this warning}}
#pragma omp distribute simd
for (int i = 0; i < 10; ++i)
argc = x; // expected-warning {{variable 'x' is uninitialized when used here}}
}
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp distribute simd'}}
#pragma omp distribute simd
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp distribute simd'}}
#pragma omp distribute simd foo
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp distribute simd'}}
#pragma omp distribute simd safelen(4)
void test_no_clause() {
int i;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{statement after '#pragma omp distribute simd' must be a for loop}}
#pragma omp distribute simd
++i;
}
void test_branch_protected_scope() {
int i = 0;
L1:
++i;
int x[24];
#pragma omp target
#pragma omp teams
#pragma omp distribute simd
for (i = 0; i < 16; ++i) {
if (i == 5)
goto L1; // expected-error {{use of undeclared label 'L1'}}
else if (i == 6)
return; // expected-error {{cannot return from OpenMP region}}
else if (i == 7)
goto L2;
else if (i == 8) {
L2:
x[i]++;
}
}
if (x[0] == 0)
goto L2; // expected-error {{use of undeclared label 'L2'}}
else if (x[1] == 1)
goto L1;
}
void test_invalid_clause() {
int i;
#pragma omp target
#pragma omp teams
// expected-warning@+1 {{extra tokens at the end of '#pragma omp distribute simd' are ignored}}
#pragma omp distribute simd foo bar
for (i = 0; i < 16; ++i)
;
}
void test_non_identifiers() {
int i, x;
#pragma omp target
#pragma omp teams
// expected-warning@+1 {{extra tokens at the end of '#pragma omp distribute simd' are ignored}}
#pragma omp distribute simd;
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-warning@+1 {{extra tokens at the end of '#pragma omp distribute simd' are ignored}}
#pragma omp distribute simd private(x);
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-warning@+1 {{extra tokens at the end of '#pragma omp distribute simd' are ignored}}
#pragma omp distribute simd, private(x);
for (i = 0; i < 16; ++i)
;
}
extern int foo();
void test_safelen() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected '('}}
#pragma omp distribute simd safelen
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd safelen()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-warning@+2 {{extra tokens at the end of '#pragma omp distribute simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp distribute simd safelen 4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(4
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(4,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(4, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// xxpected-error@+1 {{expected expression}}
#pragma omp distribute simd safelen(4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(4 4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd safelen(4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd safelen(4, 8)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp distribute simd safelen(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp distribute simd safelen(foo())
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp distribute simd safelen(-5)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp distribute simd safelen(0)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'safelen' clause must be a strictly positive integer value}}
#pragma omp distribute simd safelen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_simdlen() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected '('}}
#pragma omp distribute simd simdlen
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd simdlen()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-warning@+2 {{extra tokens at the end of '#pragma omp distribute simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp distribute simd simdlen 4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(4
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(4,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(4, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd simdlen(4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(4 4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd simdlen(4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp distribute simd simdlen(4, 8)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp distribute simd simdlen(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp distribute simd simdlen(foo())
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp distribute simd simdlen(-5)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp distribute simd simdlen(0)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'simdlen' clause must be a strictly positive integer value}}
#pragma omp distribute simd simdlen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_safelen_simdlen() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp distribute simd simdlen(6) safelen(5)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp distribute simd safelen(5) simdlen(6)
for (i = 0; i < 16; ++i)
;
}
void test_collapse() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected '('}}
#pragma omp distribute simd collapse
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd collapse(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd collapse()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd collapse(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd collapse(, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-warning@+2 {{extra tokens at the end of '#pragma omp distribute simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp distribute simd collapse 4)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp distribute simd collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp distribute simd', but found only 1}}
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp distribute simd collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp distribute simd', but found only 1}}
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp distribute simd collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp distribute simd', but found only 1}}
#pragma omp target
#pragma omp teams
// xxpected-error@+1 {{expected expression}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp distribute simd collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp distribute simd', but found only 1}}
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp distribute simd collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp distribute simd', but found only 1}}
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp distribute simd collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp distribute simd', but found only 1}}
#pragma omp target
#pragma omp teams
#pragma omp distribute simd collapse(4)
for (int i1 = 0; i1 < 16; ++i1)
for (int i2 = 0; i2 < 16; ++i2)
for (int i3 = 0; i3 < 16; ++i3)
for (int i4 = 0; i4 < 16; ++i4)
foo();
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp distribute simd collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp distribute simd', but found only 1}}
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp distribute simd collapse(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp distribute simd collapse(foo())
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp distribute simd collapse(-5)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp distribute simd collapse(0)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp distribute simd collapse(5 - 5)
for (i = 0; i < 16; ++i)
;
// expected-note@+3 2 {{defined as reduction}}
#pragma omp target
#pragma omp teams
#pragma omp distribute simd collapse(2) reduction(+ : i)
for (i = 0; i < 16; ++i) // expected-error {{loop iteration variable in the associated loop of 'omp distribute simd' directive may not be reduction, predetermined as lastprivate}}
// expected-note@+1 {{variable with automatic storage duration is predetermined as private; perhaps you forget to enclose 'omp for' directive into a parallel or another task region?}}
for (int j = 0; j < 16; ++j)
// expected-error@+2 2 {{reduction variable must be shared}}
// expected-error@+1 {{OpenMP constructs may not be nested inside a simd region}}
#pragma omp for reduction(+ : i, j)
for (int k = 0; k < 16; ++k)
i += j;
#pragma omp target
#pragma omp teams
for (i = 0; i < 16; ++i)
for (int j = 0; j < 16; ++j)
#pragma omp distribute simd reduction(+ : i, j)
for (int k = 0; k < 16; ++k)
i += j;
}
void test_linear() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd linear(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd linear(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd linear(, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd linear()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd linear(int)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected variable name}}
#pragma omp distribute simd linear(0)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp distribute simd linear(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp distribute simd linear(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp distribute simd linear(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_aligned() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd aligned(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd aligned(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd aligned(, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd aligned()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd aligned(int)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected variable name}}
#pragma omp distribute simd aligned(0)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp distribute simd aligned(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp distribute simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp distribute simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
int *x, y, z[25]; // expected-note 4 {{'y' defined here}}
#pragma omp target
#pragma omp teams
#pragma omp distribute simd aligned(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd aligned(z)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd aligned(x :)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd aligned(x :, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd aligned(x : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd aligned(x : 2 * 2)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd aligned(x : 1, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd aligned(x : 1, y, z : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp distribute simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp distribute simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-note@+2 {{defined as aligned}}
// expected-error@+1 {{a variable cannot appear in more than one aligned clause}}
#pragma omp distribute simd aligned(x) aligned(z, x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-note@+3 {{defined as aligned}}
// expected-error@+2 {{a variable cannot appear in more than one aligned clause}}
// expected-error@+1 2 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp distribute simd aligned(x, y, z) aligned(y, z)
for (i = 0; i < 16; ++i)
;
}
void test_private() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd private(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp distribute simd private(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 2 {{expected expression}}
#pragma omp distribute simd private(, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd private()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd private(int)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected variable name}}
#pragma omp distribute simd private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd private(x, y, z)
for (i = 0; i < 16; ++i) {
x = y * i + z;
}
}
void test_firstprivate() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd firstprivate(
for (i = 0; i < 16; ++i)
;
}
void test_lastprivate() {
int i;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd lastprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp distribute simd lastprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 2 {{expected expression}}
#pragma omp distribute simd lastprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd lastprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd lastprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected variable name}}
#pragma omp distribute simd lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd lastprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_reduction() {
int i, x, y;
#pragma omp target
#pragma omp teams
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 {{expected identifier}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp distribute simd reduction(
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected identifier}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp distribute simd reduction()
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+2 {{expected expression}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp distribute simd reduction(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected identifier}}
#pragma omp distribute simd reduction( : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 {{expected identifier}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp distribute simd reduction(,
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 {{expected expression}}
// expected-warning@+1 {{missing ':' after reduction identifier - ignoring}}
#pragma omp distribute simd reduction(+
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
//
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd reduction(+:
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd reduction(+ :)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd reduction(+ :, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected expression}}
#pragma omp distribute simd reduction(+ : x, + : y)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected identifier}}
#pragma omp distribute simd reduction(% : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(+ : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(* : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(- : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(& : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(| : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(^ : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(&& : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(|| : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(max : x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd reduction(min : x)
for (i = 0; i < 16; ++i)
;
struct X {
int x;
};
struct X X;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected variable name}}
#pragma omp distribute simd reduction(+ : X.x)
for (i = 0; i < 16; ++i)
;
#pragma omp target
#pragma omp teams
// expected-error@+1 {{expected variable name}}
#pragma omp distribute simd reduction(+ : x + x)
for (i = 0; i < 16; ++i)
;
}
void test_loop_messages() {
float a[100], b[100], c[100];
#pragma omp target
#pragma omp teams
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp distribute simd
for (float fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
#pragma omp target
#pragma omp teams
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp distribute simd
for (double fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
}
void linear_modifiers(int argc) {
int k;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd linear(k)
for (k = 0; k < argc; ++k) ++k;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd linear(val(k))
for (k = 0; k < argc; ++k) ++k;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd linear(uval(k)) // expected-error {{expected 'val' modifier}}
for (k = 0; k < argc; ++k) ++k;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd linear(ref(k)) // expected-error {{expected 'val' modifier}}
for (k = 0; k < argc; ++k) ++k;
#pragma omp target
#pragma omp teams
#pragma omp distribute simd linear(foo(k)) // expected-error {{expected 'val' modifier}}
for (k = 0; k < argc; ++k) ++k;
}
void test_nontemporal() {
int i;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd nontemporal(
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 2 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd nontemporal(,
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 2 {{expected expression}}
#pragma omp distribute simd nontemporal(, )
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{expected expression}}
#pragma omp distribute simd nontemporal()
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{expected expression}}
#pragma omp distribute simd nontemporal(int)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} omp50-error@+1 {{expected variable name}}
#pragma omp distribute simd nontemporal(0)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp distribute simd nontemporal(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp distribute simd nontemporal(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp distribute simd nontemporal(x, y, z)
for (i = 0; i < 16; ++i)
;
int x, y;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp distribute simd nontemporal(x :)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}}
#pragma omp distribute simd nontemporal(x :, )
for (i = 0; i < 16; ++i)
;
// omp50-note@+2 {{defined as nontemporal}}
// omp45-error@+1 2 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} omp50-error@+1 {{a variable cannot appear in more than one nontemporal clause}}
#pragma omp distribute simd nontemporal(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}}
#pragma omp distribute simd private(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}}
#pragma omp distribute simd nontemporal(x) private(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}}
#pragma omp distribute simd nontemporal(x, y : 0)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}}
#pragma omp distribute simd nontemporal(x) lastprivate(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp distribute simd'}}
#pragma omp distribute simd lastprivate(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
}
|
vec2d_add.c | //////////////////////////////////////////////////////////////
// ____ //
// | __ ) ___ _ __ ___ _ _ _ __ ___ _ __ _ __ ___ //
// | _ \ / _ \ '_ \/ __| | | | '_ \ / _ \ '__| '_ \ / __| //
// | |_) | __/ | | \__ \ |_| | |_) | __/ | | |_) | (__ //
// |____/ \___|_| |_|___/\__,_| .__/ \___|_| | .__/ \___| //
// |_| |_| //
//////////////////////////////////////////////////////////////
// //
// BenLib, 2021 //
// Created: 17, March, 2021 //
// Modified: 17, March, 2021 //
// file: OpenCL_test.cpp //
// Crypto //
// Source: https://github.com/Kaixhin/cuda-workshop //
// https://forums.developer.nvidia.com/t/double-pointer-allocation/9390 //
// https://stackoverflow.com/a/31382775/10152334 //
// CPU: ALL //
// //
//////////////////////////////////////////////////////////////
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <math.h>
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include "kernel.h"
#define THREADS_PER_BLOCK 1024 // Max 1024
void matrixAdd_CPU(int *a, int *b, int *c, int N)
{
int index = 0;
//#pragma omp parallel for
for (int col = 0; col < N; col++) {
for (int row = 0; row < N; row++) {
index = row * N + col;
c[index] = a[index] + b[index];
}
}
}
void matrixAdd_MP(int *a, int *b, int *c, int N)
{
int index = 0;
//#pragma omp parallel for schedule(dynamic, 2)
#pragma omp parallel
for (int col = 0; col < N; col++) {
#pragma omp for nowait
for (int row = 0; row < N; row++) {
index = row * N + col;
c[index] = a[index] + b[index];
}
}
}
int main()
{
int N = 8192; // Define size of 1 side of square matrix
int sqrtThreads = sqrt(THREADS_PER_BLOCK);
int nBlocks = N / sqrtThreads;
if (N % sqrtThreads != 0) { // Add an extra block if necessary
nBlocks++;
}
dim3 grid = {nBlocks, nBlocks, 1};
dim3 block = {sqrtThreads, sqrtThreads, 1};
// Initialise host pointers (dynamically allocated memory) and device pointers
int *a_h;
int *b_h;
int *c_h; // GPU results
int *d_h; // CPU results
int *a_d;
int *b_d;
int *c_d;
int size; // Number of bytes required by arrays
// Create timer
cudaEvent_t start;
cudaEvent_t stop;
float elapsedTime;
// Print out information about blocks and threads
printf("Number of threads: %i (%ix%i)\n", block.x * block.y, block.x, block.y);
printf("Number of blocks: %i (%ix%i)\n", grid.x * grid.y, grid.x, grid.y);
// Dynamically allocate host memory
size = N * N * sizeof(int);
a_h = (int *)malloc(size);
b_h = (int *)malloc(size);
c_h = (int *)malloc(size);
d_h = (int *)malloc(size);
// Load host arrays with data
for (size_t i = 0; i < N; i++) {
for (size_t j = 0; j < N; j++) {
a_h[i * N + j] = i;
b_h[i * N + j] = i;
}
}
// Allocate device memory
cudaMalloc((void **)&a_d, size);
cudaMalloc((void **)&b_d, size);
cudaMalloc((void **)&c_d, size);
// Copy host memory to device memory
cudaMemcpy(a_d, a_h, size, cudaMemcpyHostToDevice);
cudaMemcpy(b_d, b_h, size, cudaMemcpyHostToDevice);
cudaMemcpy(c_d, c_h, size, cudaMemcpyHostToDevice);
// Start timer for GPU
cudaEventCreate(&start);
cudaEventCreate(&stop);
cudaEventRecord(start, 0);
// Launch kernel
// matrixAddKernel<<<grid, block>>>(a_d, b_d, c_d, N);
matrixAdd(grid, block, a_d, b_d, c_d, N);
// Stop timer
cudaEventRecord(stop, 0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&elapsedTime, start, stop);
// Print execution time
printf("Time to calculate results on GPU: %f ms\n", elapsedTime);
// Copy results to device
cudaMemcpy(c_h, c_d, size, cudaMemcpyDeviceToHost);
// Start timer for CPU
cudaEventRecord(start, 0);
// Launch CPU code
matrixAdd_MP(a_h, b_h, d_h, N);
// Stop timer
cudaEventRecord(stop, 0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&elapsedTime, start, stop);
// Print execution time
printf("Time to calculate results on CPU: %f ms\n", elapsedTime * 2.0);
// Compare results
for (size_t i = 0; i < N * N; i++) {
if (c_h[i] != d_h[i]) {
printf("Error: CPU and GPU results do not match\n");
printf("c_h: %i, d_h: %i, i: %li\n", c_h[i], d_h[i], i);
break;
}
}
// Free memory
free(a_h);
free(b_h);
free(c_h);
free(d_h);
cudaFree(a_d);
cudaFree(b_d);
cudaFree(c_d);
cudaEventDestroy(start);
cudaEventDestroy(stop);
return 0;
}
|
infgraph.h |
class VV
{
public:
vector<int> head;
vector<int> next;
vector<int> data;
vector<int> vsize;
void clear()
{
head.clear();
next.clear();
data.clear();
vsize.clear();
}
// trick for not change code
void push_back(vector<int> x){
ASSERT(x.size()==0);
addVector();
}
void addVector()
{
head.push_back(-1);
vsize.push_back(0);
}
int size(int t){
return vsize[t];
}
//vv[a].push_back(b)
void addElement( int a, int b)
{
//a.push_back(b);
vsize[a]++;
data.push_back(b);
next.push_back(head[a]);
head[a]=next.size()-1;
}
//loop
//for(int t:vv[a])
//for (int x=vv.head[a]; x!=-1; x=vv.next[x])
//{
//t=vv.data[x]
//}
};
class InfGraph:public Graph
{
public:
vector<vector<int>> hyperG;
//VV hyperG;
vector<vector<int>> hyperGT;
InfGraph(string folder, string graph_file):Graph(folder, graph_file){
hyperG.clear();
for(int i=0; i<n; i++)
hyperG.push_back(vector<int>());
for(int i=0; i<12; i++)
sfmt_init_gen_rand(&sfmtSeed, i+1234);
}
enum ProbModel {TR, WC, TR001};
ProbModel probModel;
void BuildHypergraphR(int64 R){
hyperId=R;
//for(int i=0; i<n; i++)
//hyperG[i].clear();
hyperG.clear();
for(int i=0; i<n; i++)
hyperG.push_back(vector<int>());
hyperGT.clear();
while((int)hyperGT.size() <= R)
hyperGT.push_back( vector<int>() );
for(int i=0; i<R; i++){
BuildHypergraphNode(sfmt_genrand_uint32(&sfmtSeed)%n, i, true);
}
int totAddedElement=0;
for(int i=0; i<R; i++){
for(int t:hyperGT[i])
{
hyperG[t].push_back(i);
//hyperG.addElement(t, i);
totAddedElement++;
}
}
ASSERT(hyperId == R);
}
int BuildHypergraphNode(int uStart, int hyperiiid, bool addHyperEdge){
int n_visit_edge=1;
if(addHyperEdge)
{
ASSERT((int)hyperGT.size() > hyperiiid);
hyperGT[hyperiiid].push_back(uStart);
}
int n_visit_mark=0;
//for(int i=0; i<12; i++) ASSERT((int)visit[i].size()==n);
//for(int i=0; i<12; i++) ASSERT((int)visit_mark[i].size()==n);
//hyperiiid ++;
q.clear();
q.push_back(uStart);
ASSERT(n_visit_mark < n);
visit_mark[n_visit_mark++]=uStart;
visit[uStart]=true;
while(!q.empty()) {
int expand=q.front();
q.pop_front();
if(influModel==IC){
int i=expand;
for(int j=0; j<(int)gT[i].size(); j++){
//int u=expand;
int v=gT[i][j];
n_visit_edge++;
double randDouble=double(sfmt_genrand_uint32(&sfmtSeed))/double(RAND_MAX)/2;
if(randDouble > probT[i][j])
continue;
if(visit[v])
continue;
if(!visit[v])
{
ASSERT(n_visit_mark < n);
visit_mark[n_visit_mark++]=v;
visit[v]=true;
}
q.push_back(v);
//#pragma omp critical
//if(0)
if(addHyperEdge)
{
//hyperG[v].push_back(hyperiiid);
ASSERT((int)hyperGT.size() > hyperiiid);
hyperGT[hyperiiid].push_back(v);
}
}
}
else if(influModel==LT){
if(gT[expand].size()==0)
continue;
ASSERT(gT[expand].size()>0);
n_visit_edge+=gT[expand].size();
double randDouble=double(sfmt_genrand_uint32(&sfmtSeed))/double(RAND_MAX)/2;
for(int i=0; i<(int)gT[expand].size(); i++){
ASSERT( i< (int)probT[expand].size());
randDouble -= probT[expand][i];
if(randDouble>0)
continue;
//int u=expand;
int v=gT[expand][i];
if(visit[v])
break;
if(!visit[v])
{
visit_mark[n_visit_mark++]=v;
visit[v]=true;
}
q.push_back(v);
if(addHyperEdge)
{
ASSERT((int)hyperGT.size() > hyperiiid);
hyperGT[hyperiiid].push_back(v);
}
break;
}
}
else
ASSERT(false);
}
for(int i=0; i<n_visit_mark; i++)
visit[visit_mark[i]]=false;
return n_visit_edge;
}
//return the number of edges visited
int64 hyperId = 0;
deque<int> q;
sfmt_t sfmtSeed;
set<int> seedSet;
void BuildSeedSet() {
vector< int > degree;
vector< int> visit_local(hyperGT.size());
//sort(ALL(degree));
//reverse(ALL(degree));
seedSet.clear();
for(int i=0; i<n; i++)
{
degree.push_back( hyperG[i].size() );
//degree.push_back( hyperG.size(i) );
}
ASSERT(k > 0);
ASSERT(k < (int)degree.size());
for(int i=0; i<k; i++){
auto t=max_element(degree.begin(), degree.end());
int id=t-degree.begin();
seedSet.insert(id);
degree[id]=0;
for(int t:hyperG[id]){
if(!visit_local[t]){
visit_local[t]=true;
for(int item:hyperGT[t]){
degree[item]--;
}
}
}
}
}
double InfluenceHyperGraph(){
set<int> s;
for(auto t:seedSet){
for(auto tt:hyperG[t]){
//for(int index=hyperG.head[t]; index!=-1; index=hyperG.next[index]){
//int tt=hyperG.data[index];
s.insert(tt);
}
}
double inf=(double)n*s.size()/hyperId;
return inf;
}
};
|
GB_binop__max_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__max_uint64)
// A.*B function (eWiseMult): GB (_AemultB_08__max_uint64)
// A.*B function (eWiseMult): GB (_AemultB_02__max_uint64)
// A.*B function (eWiseMult): GB (_AemultB_04__max_uint64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__max_uint64)
// A*D function (colscale): GB (_AxD__max_uint64)
// D*A function (rowscale): GB (_DxB__max_uint64)
// C+=B function (dense accum): GB (_Cdense_accumB__max_uint64)
// C+=b function (dense accum): GB (_Cdense_accumb__max_uint64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__max_uint64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__max_uint64)
// C=scalar+B GB (_bind1st__max_uint64)
// C=scalar+B' GB (_bind1st_tran__max_uint64)
// C=A+scalar GB (_bind2nd__max_uint64)
// C=A'+scalar GB (_bind2nd_tran__max_uint64)
// C type: uint64_t
// A type: uint64_t
// B,b type: uint64_t
// BinaryOp: cij = GB_IMAX (aij, bij)
#define GB_ATYPE \
uint64_t
#define GB_BTYPE \
uint64_t
#define GB_CTYPE \
uint64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint64_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint64_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_IMAX (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_MAX || GxB_NO_UINT64 || GxB_NO_MAX_UINT64)
//------------------------------------------------------------------------------
// 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__max_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__max_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__max_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
{
#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__max_uint64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint64_t
uint64_t bwork = (*((uint64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__max_uint64)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *restrict Cx = (uint64_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__max_uint64)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *restrict Cx = (uint64_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__max_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__max_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__max_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__max_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__max_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__max_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
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t x = (*((uint64_t *) x_input)) ;
uint64_t *Bx = (uint64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_IMAX (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__max_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 ;
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t *Ax = (uint64_t *) Ax_input ;
uint64_t y = (*((uint64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint64_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_IMAX (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] = GB_IMAX (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__max_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] = GB_IMAX (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__max_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
|
Parallel.c | #include <stdio.h>
#include <omp.h>
#include <unistd.h>
#include <time.h>
//This is the code using OpenMP to parallelise the code on all (4) cores of the CPU then appending the time it took to the txt file
//uncomment the comments below to also have it print the result to the console
int main(){
int n = 416; //matrices are 416x416 in order to stress test the code and is a multiple of 4
int a[n][n];
int b[n][n];
int c[n][n]; //declairing arrays
int i,j,k; //ideclairing indices
for (i=0;i<n;i++){ //initialising arrays
for (j=0;j<n;j++){
a[i][j]=rand()%50;
b[i][j]=rand()%50;
c[i][j]=0;
}
}
clock_t begin = clock(); //begin clock
#pragma omp parallel for private(k) //making sure k is not parallelised
for (i=0;i<n;i++){
#pragma omp parallel for private(k)
for (j=0;j<n;j++){
for (k=0;k<n;k++){
c[i][j] += a[i][k]*b[k][j];
}
}
}
clock_t end = clock(); //end clock and work out time
double time_spent = (double)(end - begin) / CLOCKS_PER_SEC;
//printf("Time spent: %lf\n",time_spent);
FILE * fp; //Writing to the file. The extra comma after the last entry will give us a NaN element in the python array that will be ignored
fp = fopen ("par.txt","a");
fprintf (fp, "%lf,",time_spent);
fclose (fp);
//system("pause");
}
|
image-view.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% IIIII M M AAA GGGG EEEEE %
% I MM MM A A G E %
% I M M M AAAAA G GG EEE %
% I M M A A G G E %
% IIIII M M A A GGGG EEEEE %
% %
% V V IIIII EEEEE W W %
% V V I E W W %
% V V I EEE W W W %
% V V I E WW WW %
% V IIIII EEEEE W W %
% %
% %
% MagickCore Image View Methods %
% %
% Software Design %
% Cristy %
% March 2003 %
% %
% %
% Copyright 1999-2018 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/MagickCore.h"
#include "magick/exception-private.h"
#include "magick/monitor-private.h"
#include "magick/thread-private.h"
/*
Typedef declarations.
*/
struct _ImageView
{
char
*description;
RectangleInfo
extent;
Image
*image;
CacheView
*view;
size_t
number_threads;
ExceptionInfo
*exception;
MagickBooleanType
debug;
size_t
signature;
};
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImageView() makes a copy of the specified image view.
%
% The format of the CloneImageView method is:
%
% ImageView *CloneImageView(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport ImageView *CloneImageView(const ImageView *image_view)
{
ImageView
*clone_view;
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
clone_view=(ImageView *) AcquireMagickMemory(sizeof(*clone_view));
if (clone_view == (ImageView *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(clone_view,0,sizeof(*clone_view));
clone_view->description=ConstantString(image_view->description);
clone_view->extent=image_view->extent;
clone_view->view=CloneCacheView(image_view->view);
clone_view->number_threads=image_view->number_threads;
clone_view->exception=AcquireExceptionInfo();
InheritException(clone_view->exception,image_view->exception);
clone_view->debug=image_view->debug;
clone_view->signature=MagickCoreSignature;
return(clone_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImageView() deallocates memory associated with a image view.
%
% The format of the DestroyImageView method is:
%
% ImageView *DestroyImageView(ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport ImageView *DestroyImageView(ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
if (image_view->description != (char *) NULL)
image_view->description=DestroyString(image_view->description);
image_view->view=DestroyCacheView(image_view->view);
image_view->exception=DestroyExceptionInfo(image_view->exception);
image_view->signature=(~MagickCoreSignature);
image_view=(ImageView *) RelinquishMagickMemory(image_view);
return(image_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D u p l e x T r a n s f e r I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DuplexTransferImageViewIterator() iterates over three image views in
% parallel and calls your transfer method for each scanline of the view. The
% source and duplex pixel extent is not confined to the image canvas-- that is
% you can include negative offsets or widths or heights that exceed the image
% dimension. However, the destination image view is confined to the image
% canvas-- that is no negative offsets or widths or heights that exceed the
% image dimension are permitted.
%
% The callback signature is:
%
% MagickBooleanType DuplexTransferImageViewMethod(const ImageView *source,
% const ImageView *duplex,ImageView *destination,const ssize_t y,
% const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback transfer method that must be
% executed by a single thread at a time.
%
% The format of the DuplexTransferImageViewIterator method is:
%
% MagickBooleanType DuplexTransferImageViewIterator(ImageView *source,
% ImageView *duplex,ImageView *destination,
% DuplexTransferImageViewMethod transfer,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o duplex: the duplex image view.
%
% o destination: the destination image view.
%
% o transfer: the transfer callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType DuplexTransferImageViewIterator(
ImageView *source,ImageView *duplex,ImageView *destination,
DuplexTransferImageViewMethod transfer,void *context)
{
ExceptionInfo
*exception;
Image
*destination_image,
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (transfer == (DuplexTransferImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
destination_image=destination->image;
if (SetImageStorageClass(destination_image,DirectClass) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
exception=destination->exception;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=(size_t) (source->extent.height-source->extent.y);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,destination_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register const PixelPacket
*magick_restrict duplex_pixels,
*magick_restrict pixels;
register PixelPacket
*magick_restrict destination_pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewVirtualPixels(source->view,source->extent.x,y,
source->extent.width,1,source->exception);
if (pixels == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
duplex_pixels=GetCacheViewVirtualPixels(duplex->view,duplex->extent.x,y,
duplex->extent.width,1,duplex->exception);
if (duplex_pixels == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
destination_pixels=GetCacheViewAuthenticPixels(destination->view,
destination->extent.x,y,destination->extent.width,1,exception);
if (destination_pixels == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
if (transfer(source,duplex,destination,y,id,context) == MagickFalse)
status=MagickFalse;
sync=SyncCacheViewAuthenticPixels(destination->view,exception);
if (sync == MagickFalse)
{
InheritException(destination->exception,GetCacheViewException(
source->view));
status=MagickFalse;
}
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_DuplexTransferImageViewIterator)
#endif
proceed=SetImageProgress(source_image,source->description,progress++,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w A u t h e n t i c I n d e x e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewAuthenticIndexes() returns the image view authentic indexes.
%
% The format of the GetImageViewAuthenticPixels method is:
%
% IndexPacket *GetImageViewAuthenticIndexes(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport IndexPacket *GetImageViewAuthenticIndexes(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewAuthenticIndexQueue(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewAuthenticPixels() returns the image view authentic pixels.
%
% The format of the GetImageViewAuthenticPixels method is:
%
% PixelPacket *GetImageViewAuthenticPixels(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport PixelPacket *GetImageViewAuthenticPixels(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewAuthenticPixelQueue(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w E x c e p t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewException() returns the severity, reason, and description of any
% error that occurs when utilizing a image view.
%
% The format of the GetImageViewException method is:
%
% char *GetImageViewException(const PixelImage *image_view,
% ExceptionType *severity)
%
% A description of each parameter follows:
%
% o image_view: the pixel image_view.
%
% o severity: the severity of the error is returned here.
%
*/
MagickExport char *GetImageViewException(const ImageView *image_view,
ExceptionType *severity)
{
char
*description;
assert(image_view != (const ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
assert(severity != (ExceptionType *) NULL);
*severity=image_view->exception->severity;
description=(char *) AcquireQuantumMemory(2UL*MaxTextExtent,
sizeof(*description));
if (description == (char *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
*description='\0';
if (image_view->exception->reason != (char *) NULL)
(void) CopyMagickString(description,GetLocaleExceptionMessage(
image_view->exception->severity,image_view->exception->reason),
MaxTextExtent);
if (image_view->exception->description != (char *) NULL)
{
(void) ConcatenateMagickString(description," (",MaxTextExtent);
(void) ConcatenateMagickString(description,GetLocaleExceptionMessage(
image_view->exception->severity,image_view->exception->description),
MaxTextExtent);
(void) ConcatenateMagickString(description,")",MaxTextExtent);
}
return(description);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewExtent() returns the image view extent.
%
% The format of the GetImageViewExtent method is:
%
% RectangleInfo GetImageViewExtent(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport RectangleInfo GetImageViewExtent(const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(image_view->extent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewImage() returns the image associated with the image view.
%
% The format of the GetImageViewImage method is:
%
% MagickCore *GetImageViewImage(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport Image *GetImageViewImage(const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(image_view->image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewIterator() iterates over the image view in parallel and calls
% your get method for each scanline of the view. The pixel extent is
% not confined to the image canvas-- that is you can include negative offsets
% or widths or heights that exceed the image dimension. Any updates to
% the pixels in your callback are ignored.
%
% The callback signature is:
%
% MagickBooleanType GetImageViewMethod(const ImageView *source,
% const ssize_t y,const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback get method that must be
% executed by a single thread at a time.
%
% The format of the GetImageViewIterator method is:
%
% MagickBooleanType GetImageViewIterator(ImageView *source,
% GetImageViewMethod get,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o get: the get callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType GetImageViewIterator(ImageView *source,
GetImageViewMethod get,void *context)
{
Image
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (get == (GetImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=(size_t) (source->extent.height-source->extent.y);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,source_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
register const PixelPacket
*pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewVirtualPixels(source->view,source->extent.x,y,
source->extent.width,1,source->exception);
if (pixels == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
if (get(source,y,id,context) == MagickFalse)
status=MagickFalse;
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetImageViewIterator)
#endif
proceed=SetImageProgress(source_image,source->description,progress++,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w V i r t u a l I n d e x e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewVirtualIndexes() returns the image view virtual indexes.
%
% The format of the GetImageViewVirtualIndexes method is:
%
% const IndexPacket *GetImageViewVirtualIndexes(
% const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport const IndexPacket *GetImageViewVirtualIndexes(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewVirtualIndexQueue(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i e w V i r t u a l P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageViewVirtualPixels() returns the image view virtual pixels.
%
% The format of the GetImageViewVirtualPixels method is:
%
% const PixelPacket *GetImageViewVirtualPixels(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport const PixelPacket *GetImageViewVirtualPixels(
const ImageView *image_view)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
return(GetCacheViewVirtualPixelQueue(image_view->view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImageView() returns MagickTrue if the the parameter is verified as a image
% view object.
%
% The format of the IsImageView method is:
%
% MagickBooleanType IsImageView(const ImageView *image_view)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
*/
MagickExport MagickBooleanType IsImageView(const ImageView *image_view)
{
if (image_view == (const ImageView *) NULL)
return(MagickFalse);
if (image_view->signature != MagickCoreSignature)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e w I m a g e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NewImageView() returns a image view required for all other methods in the
% Image View API.
%
% The format of the NewImageView method is:
%
% ImageView *NewImageView(MagickCore *wand)
%
% A description of each parameter follows:
%
% o wand: the wand.
%
*/
MagickExport ImageView *NewImageView(Image *image)
{
ImageView
*image_view;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
image_view=(ImageView *) AcquireMagickMemory(sizeof(*image_view));
if (image_view == (ImageView *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(image_view,0,sizeof(*image_view));
image_view->description=ConstantString("ImageView");
image_view->image=image;
image_view->exception=AcquireExceptionInfo();
image_view->view=AcquireVirtualCacheView(image_view->image,
image_view->exception);
image_view->extent.width=image->columns;
image_view->extent.height=image->rows;
image_view->extent.x=0;
image_view->extent.y=0;
image_view->number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
image_view->debug=IsEventLogging();
image_view->signature=MagickCoreSignature;
return(image_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e w I m a g e V i e w R e g i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NewImageViewRegion() returns a image view required for all other methods
% in the Image View API.
%
% The format of the NewImageViewRegion method is:
%
% ImageView *NewImageViewRegion(MagickCore *wand,const ssize_t x,
% const ssize_t y,const size_t width,const size_t height)
%
% A description of each parameter follows:
%
% o wand: the magick wand.
%
% o x,y,columns,rows: These values define the perimeter of a extent of
% pixel_wands view.
%
*/
MagickExport ImageView *NewImageViewRegion(Image *image,const ssize_t x,
const ssize_t y,const size_t width,const size_t height)
{
ImageView
*image_view;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
image_view=(ImageView *) AcquireMagickMemory(sizeof(*image_view));
if (image_view == (ImageView *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(image_view,0,sizeof(*image_view));
image_view->description=ConstantString("ImageView");
image_view->exception=AcquireExceptionInfo();
image_view->view=AcquireVirtualCacheView(image_view->image,
image_view->exception);
image_view->image=image;
image_view->extent.width=width;
image_view->extent.height=height;
image_view->extent.x=x;
image_view->extent.y=y;
image_view->number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
image_view->debug=IsEventLogging();
image_view->signature=MagickCoreSignature;
return(image_view);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e V i e w D e s c r i p t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageViewDescription() associates a description with an image view.
%
% The format of the SetImageViewDescription method is:
%
% void SetImageViewDescription(ImageView *image_view,
% const char *description)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
% o description: the image view description.
%
*/
MagickExport void SetImageViewDescription(ImageView *image_view,
const char *description)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
image_view->description=ConstantString(description);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageViewIterator() iterates over the image view in parallel and calls
% your set method for each scanline of the view. The pixel extent is
% confined to the image canvas-- that is no negative offsets or widths or
% heights that exceed the image dimension. The pixels are initiallly
% undefined and any settings you make in the callback method are automagically
% synced back to your image.
%
% The callback signature is:
%
% MagickBooleanType SetImageViewMethod(ImageView *destination,
% const ssize_t y,const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback set method that must be
% executed by a single thread at a time.
%
% The format of the SetImageViewIterator method is:
%
% MagickBooleanType SetImageViewIterator(ImageView *destination,
% SetImageViewMethod set,void *context)
%
% A description of each parameter follows:
%
% o destination: the image view.
%
% o set: the set callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType SetImageViewIterator(ImageView *destination,
SetImageViewMethod set,void *context)
{
ExceptionInfo
*exception;
Image
*destination_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(destination != (ImageView *) NULL);
assert(destination->signature == MagickCoreSignature);
if (set == (SetImageViewMethod) NULL)
return(MagickFalse);
destination_image=destination->image;
if (SetImageStorageClass(destination_image,DirectClass) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=(size_t) (destination->extent.height-destination->extent.y);
#endif
exception=destination->exception;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(destination_image,destination_image,height,1)
#endif
for (y=destination->extent.y; y < (ssize_t) destination->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register PixelPacket
*magick_restrict pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewAuthenticPixels(destination->view,destination->extent.x,
y,destination->extent.width,1,exception);
if (pixels == (PixelPacket *) NULL)
{
InheritException(destination->exception,GetCacheViewException(
destination->view));
status=MagickFalse;
continue;
}
if (set(destination,y,id,context) == MagickFalse)
status=MagickFalse;
sync=SyncCacheViewAuthenticPixels(destination->view,exception);
if (sync == MagickFalse)
{
InheritException(destination->exception,GetCacheViewException(
destination->view));
status=MagickFalse;
}
if (destination_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SetImageViewIterator)
#endif
proceed=SetImageProgress(destination_image,destination->description,
progress++,destination->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e V i e w T h r e a d s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageViewThreads() sets the number of threads in a thread team.
%
% The format of the SetImageViewDescription method is:
%
% void SetImageViewThreads(ImageView *image_view,
% const size_t number_threads)
%
% A description of each parameter follows:
%
% o image_view: the image view.
%
% o number_threads: the number of threads in a thread team.
%
*/
MagickExport void SetImageViewThreads(ImageView *image_view,
const size_t number_threads)
{
assert(image_view != (ImageView *) NULL);
assert(image_view->signature == MagickCoreSignature);
image_view->number_threads=number_threads;
if (number_threads > (size_t) GetMagickResourceLimit(ThreadResource))
image_view->number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s f e r I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransferImageViewIterator() iterates over two image views in parallel and
% calls your transfer method for each scanline of the view. The source pixel
% extent is not confined to the image canvas-- that is you can include
% negative offsets or widths or heights that exceed the image dimension.
% However, the destination image view is confined to the image canvas-- that
% is no negative offsets or widths or heights that exceed the image dimension
% are permitted.
%
% The callback signature is:
%
% MagickBooleanType TransferImageViewMethod(const ImageView *source,
% ImageView *destination,const ssize_t y,const int thread_id,
% void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback transfer method that must be
% executed by a single thread at a time.
%
% The format of the TransferImageViewIterator method is:
%
% MagickBooleanType TransferImageViewIterator(ImageView *source,
% ImageView *destination,TransferImageViewMethod transfer,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o destination: the destination image view.
%
% o transfer: the transfer callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType TransferImageViewIterator(ImageView *source,
ImageView *destination,TransferImageViewMethod transfer,void *context)
{
ExceptionInfo
*exception;
Image
*destination_image,
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (transfer == (TransferImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
destination_image=destination->image;
if (SetImageStorageClass(destination_image,DirectClass) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
exception=destination->exception;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=(size_t) (source->extent.height-source->extent.y);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,destination_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
MagickBooleanType
sync;
register const PixelPacket
*magick_restrict pixels;
register PixelPacket
*magick_restrict destination_pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewVirtualPixels(source->view,source->extent.x,y,
source->extent.width,1,source->exception);
if (pixels == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
destination_pixels=GetCacheViewAuthenticPixels(destination->view,
destination->extent.x,y,destination->extent.width,1,exception);
if (destination_pixels == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
if (transfer(source,destination,y,id,context) == MagickFalse)
status=MagickFalse;
sync=SyncCacheViewAuthenticPixels(destination->view,exception);
if (sync == MagickFalse)
{
InheritException(destination->exception,GetCacheViewException(
source->view));
status=MagickFalse;
}
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_TransferImageViewIterator)
#endif
proceed=SetImageProgress(source_image,source->description,progress++,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U p d a t e I m a g e V i e w I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UpdateImageViewIterator() iterates over the image view in parallel and calls
% your update method for each scanline of the view. The pixel extent is
% confined to the image canvas-- that is no negative offsets or widths or
% heights that exceed the image dimension are permitted. Updates to pixels
% in your callback are automagically synced back to the image.
%
% The callback signature is:
%
% MagickBooleanType UpdateImageViewMethod(ImageView *source,
% const ssize_t y,const int thread_id,void *context)
%
% Use this pragma if the view is not single threaded:
%
% #pragma omp critical
%
% to define a section of code in your callback update method that must be
% executed by a single thread at a time.
%
% The format of the UpdateImageViewIterator method is:
%
% MagickBooleanType UpdateImageViewIterator(ImageView *source,
% UpdateImageViewMethod update,void *context)
%
% A description of each parameter follows:
%
% o source: the source image view.
%
% o update: the update callback method.
%
% o context: the user defined context.
%
*/
MagickExport MagickBooleanType UpdateImageViewIterator(ImageView *source,
UpdateImageViewMethod update,void *context)
{
ExceptionInfo
*exception;
Image
*source_image;
MagickBooleanType
status;
MagickOffsetType
progress;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
size_t
height;
#endif
ssize_t
y;
assert(source != (ImageView *) NULL);
assert(source->signature == MagickCoreSignature);
if (update == (UpdateImageViewMethod) NULL)
return(MagickFalse);
source_image=source->image;
if (SetImageStorageClass(source_image,DirectClass) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
exception=source->exception;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
height=(size_t) (source->extent.height-source->extent.y);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,source_image,height,1)
#endif
for (y=source->extent.y; y < (ssize_t) source->extent.height; y++)
{
const int
id = GetOpenMPThreadId();
register PixelPacket
*magick_restrict pixels;
if (status == MagickFalse)
continue;
pixels=GetCacheViewAuthenticPixels(source->view,source->extent.x,y,
source->extent.width,1,exception);
if (pixels == (PixelPacket *) NULL)
{
InheritException(source->exception,GetCacheViewException(source->view));
status=MagickFalse;
continue;
}
if (update(source,y,id,context) == MagickFalse)
status=MagickFalse;
if (SyncCacheViewAuthenticPixels(source->view,exception) == MagickFalse)
{
InheritException(source->exception,GetCacheViewException(source->view));
status=MagickFalse;
}
if (source_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_UpdateImageViewIterator)
#endif
proceed=SetImageProgress(source_image,source->description,progress++,
source->extent.height);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
return(status);
}
|
GB_unaryop__minv_int32_fp32.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__minv_int32_fp32
// op(A') function: GB_tran__minv_int32_fp32
// C type: int32_t
// A type: float
// cast: int32_t cij ; GB_CAST_SIGNED(cij,aij,32)
// unaryop: cij = GB_IMINV_SIGNED (aij, 32)
#define GB_ATYPE \
float
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IMINV_SIGNED (x, 32) ;
// casting
#define GB_CASTING(z, x) \
int32_t z ; GB_CAST_SIGNED(z,x,32) ;
// 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_MINV || GxB_NO_INT32 || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_int32_fp32
(
int32_t *restrict Cx,
const float *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__minv_int32_fp32
(
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
|
taskloop_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -triple x86_64-unknown-unknown -verify %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -triple x86_64-unknown-unknown -verify %s -Wuninitialized
void xxx(int argc) {
int x; // expected-note {{initialize the variable 'x' to silence this warning}}
#pragma omp taskloop
for (int i = 0; i < 10; ++i)
argc = x; // expected-warning {{variable 'x' is uninitialized when used here}}
}
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp taskloop'}}
#pragma omp taskloop
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp taskloop'}}
#pragma omp taskloop foo
void test_no_clause() {
int i;
#pragma omp taskloop
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{statement after '#pragma omp taskloop' must be a for loop}}
#pragma omp taskloop
++i;
}
void test_branch_protected_scope() {
int i = 0;
L1:
++i;
int x[24];
#pragma omp parallel
#pragma omp taskloop
for (i = 0; i < 16; ++i) {
if (i == 5)
goto L1; // expected-error {{use of undeclared label 'L1'}}
else if (i == 6)
return; // expected-error {{cannot return from OpenMP region}}
else if (i == 7)
goto L2;
else if (i == 8) {
L2:
x[i]++;
}
}
if (x[0] == 0)
goto L2; // expected-error {{use of undeclared label 'L2'}}
else if (x[1] == 1)
goto L1;
}
void test_invalid_clause() {
int i;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop' are ignored}}
#pragma omp taskloop foo bar
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{directive '#pragma omp taskloop' cannot contain more than one 'nogroup' clause}}
#pragma omp taskloop nogroup nogroup
for (i = 0; i < 16; ++i)
;
}
void test_non_identifiers() {
int i, x;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop' are ignored}}
#pragma omp taskloop;
for (i = 0; i < 16; ++i)
;
// expected-warning@+3 {{extra tokens at the end of '#pragma omp taskloop' are ignored}}
// expected-error@+2 {{unexpected OpenMP clause 'linear' in directive '#pragma omp taskloop'}}
#pragma omp parallel
#pragma omp taskloop linear(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop' are ignored}}
#pragma omp taskloop private(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop' are ignored}}
#pragma omp taskloop, private(x);
for (i = 0; i < 16; ++i)
;
}
extern int foo();
void test_collapse() {
int i;
#pragma omp parallel
// expected-error@+1 {{expected '('}}
#pragma omp taskloop collapse
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop collapse(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop collapse()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop collapse(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop collapse(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+2 {{extra tokens at the end of '#pragma omp taskloop' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp taskloop collapse 4)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop', but found only 1}}
#pragma omp parallel
// expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop', but found only 1}}
#pragma omp parallel
#pragma omp taskloop collapse(4)
for (int i1 = 0; i1 < 16; ++i1)
for (int i2 = 0; i2 < 16; ++i2)
for (int i3 = 0; i3 < 16; ++i3)
for (int i4 = 0; i4 < 16; ++i4)
foo();
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop', but found only 1}}
#pragma omp parallel
// expected-error@+1 {{integer constant expression}}
#pragma omp taskloop collapse(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{integer constant expression}}
#pragma omp taskloop collapse(foo())
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp taskloop collapse(-5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp taskloop collapse(0)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp taskloop collapse(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_private() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop private(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop private(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop private(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop private()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop private(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop private(x, y, z)
for (i = 0; i < 16; ++i) {
x = y * i + z;
}
}
void test_lastprivate() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp taskloop lastprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop lastprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop lastprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop lastprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop lastprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop lastprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_firstprivate() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp taskloop firstprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop firstprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop firstprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop firstprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop firstprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop firstprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop lastprivate(x) firstprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop lastprivate(x, y) firstprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop lastprivate(x, y, z) firstprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_loop_messages() {
float a[100], b[100], c[100];
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp taskloop
for (float fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp taskloop
for (double fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
// expected-warning@+2 {{OpenMP loop iteration variable cannot have more than 64 bits size and will be narrowed}}
#pragma omp taskloop
for (__int128 ii = 0; ii < 10; ii++) {
c[ii] = a[ii] + b[ii];
}
}
|
GB_unaryop__minv_fp64_fp32.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__minv_fp64_fp32
// op(A') function: GB_tran__minv_fp64_fp32
// C type: double
// A type: float
// cast: double cij = (double) aij
// unaryop: cij = 1./aij
#define GB_ATYPE \
float
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = 1./x ;
// casting
#define GB_CASTING(z, x) \
double z = (double) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINV || GxB_NO_FP64 || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_fp64_fp32
(
double *restrict Cx,
const float *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__minv_fp64_fp32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
init.c | /*
* =======================================================================================
*
* Author: Jan Eitzinger (je), jan.eitzinger@fau.de
* Copyright (c) 2020 RRZE, University Erlangen-Nuremberg
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
* =======================================================================================
*/
#include <timing.h>
double init(
double * restrict a,
double scalar,
int N
)
{
double S, E;
S = getTimeStamp();
#pragma omp parallel for schedule(static)
for (int i=0; i<N; i++) {
a[i] = scalar;
}
E = getTimeStamp();
return E-S;
}
|
integral_omp.c | // Author: Fabio Rodrigues Pereira
// E-mail: fabior@uio.no
// compiling & running
// clang -Xpreprocessor -fopenmp integral_omp.c -lomp
// ./a.out
// SPMD technique *video7
#include <stdlib.h> // rand, malloc, calloc and free.
#include <stdio.h> // printf
#include <math.h>
#include <time.h>
#include <omp.h>
#define NUM_THREADS 2
int main()
{
static long num_steps = 100000;
double step;
int i, nthreads; double pi, sum[NUM_THREADS];
step=1.0/(double)num_steps;
omp_set_num_threads(NUM_THREADS);
#pragma omp parallel
{
int i, id, nthrds;
double x;
// being sure that the compiler gave a correct num of threads
id = omp_get_thread_num();
nthrds = omp_get_num_threads();
if (id == 0) nthreads = nthrds;
for (i = id, sum[id] = 0.0; i < num_steps; i = i + nthrds) {
x = (i + 0.5) * step;
sum[id] += 4.0 / (1.0 + x * x);
}
}
for (i=0, pi=0.0; i<nthreads; i++)
pi+=sum[i]*step;
printf("%f", pi);
return 0;
}
|
Example3a.c | #include<stdio.h>
int main(){
int sum = 1;
int i =1;
// increase sum by one each iteratiob using openmp
#pragma omp parallel for private(i) reduction( + : sum )
for (i = i; i < 100; i++) {
sum +=1;
}
printf("sum is %d\n",sum);
}
|
GB_unop__cos_fp32_fp32.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__cos_fp32_fp32)
// op(A') function: GB (_unop_tran__cos_fp32_fp32)
// C type: float
// A type: float
// cast: float cij = aij
// unaryop: cij = cosf (aij)
#define GB_ATYPE \
float
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = cosf (x) ;
// casting
#define GB_CAST(z, aij) \
float z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
float aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
float z = aij ; \
Cx [pC] = cosf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_COS || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__cos_fp32_fp32)
(
float *Cx, // Cx and Ax may be aliased
const float *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++)
{
float aij = Ax [p] ;
float z = aij ;
Cx [p] = cosf (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 ;
float aij = Ax [p] ;
float z = aij ;
Cx [p] = cosf (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__cos_fp32_fp32)
(
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
|
new2.c | #include <stdio.h>
#include <stdlib.h>
#include <ctype.h>
#include <string.h>
#include <math.h>
#include <time.h>
// #include <mpi.h>
#include <omp.h>
#include "constants.h"
#include "functions.h"
// void checkNumProcs(int size, int n);
int main(int argc, char **argv)
{
FILE *input = stdin, *output = stdout, *knowenWordsFile;
unsigned int keyInt = MIN_VALUE;
char *keyString;
int numBytesInKey;
char *inputfileText, *decodedText, **knowenWords, **decodedSplitArray;
int knowenWordsCounter, decodedWordsCounter, cmpRes, givenLen, maxNum;
int i, j, c;
int cond = 0, size, rank;
time_t start, end;
// MPI_Status status;
// MPI_Init(&argc, &argv);
// MPI_Comm_size(MPI_COMM_WORLD, &size);
// // checkNumProcs(size, 2);
// MPI_Comm_rank(MPI_COMM_WORLD, &rank);
start = time(NULL);
// * open crypted file
maxNum = determineMaxNum(argv[1], &givenLen);
// fprintf(stderr, "\ngivenLen -> %d || maxNum 0x%x\n", givenLen, maxNum);
input = fopen(argv[2], "r");
if (!input)
{
fprintf(stderr, "Error opening words file\n");
return 0;
}
// * open words file
if (argc > 3)
knowenWordsFile = fopen(argv[3], "r");
else
knowenWordsFile = fopen("linux_words.txt", "r");
if (!knowenWordsFile)
{
fprintf(stderr, "Error opening file words\n");
return 0;
}
// openFiles(argv[2], argv[3], argc, input, knowenWordsFile);
// * get number of words for words array dynamic memory allocation
fscanf(knowenWordsFile, "%d", &knowenWordsCounter);
// * allocate knowen words array and each of it's words
inputfileText = inputString(knowenWordsFile, ALLOCATION_SIZE);
knowenWords = splitStringByDelimiter(ALLOCATION_SIZE, inputfileText, "\n", &decodedWordsCounter);
// fprintf(stderr, "num_threads %d", omp_get_num_threads());
while (keyInt <= maxNum)
{
// fprintf(stderr, "\nBefore creation, givenLen -> %d\n", givenLen);
keyString = createKey(keyInt, 2 * givenLen);
// fprintf(stderr, "\nkeyString ----> 0x%s\n", keyString);
numBytesInKey = processKey(keyString);
// fprintf(stderr, "numBytesInKey ---> %d\n", numBytesInKey);
// * encode the text to a string
decodedText = encodeToString(numBytesInKey, input);
// fprintf(stderr, "decodedText ----> %s\n", decodedText);
// * split text string into a string array by 'space' delimiter
decodedSplitArray = splitStringByDelimiter(ALLOCATION_SIZE, strdup(decodedText), " ", &decodedWordsCounter);
// fprintf(stderr, "%d", decodedWordsCounter);
// fprintf(stderr, "%s", decodedText);
// * match all words of decoded text with each of the knowen words
#pragma omp parallel for collapse(2) private(j) num_threads(8)
for (i = 0; i < decodedWordsCounter; i++)
{
for (j = 0; j < knowenWordsCounter; j++)
{
// fprintf(stderr, "num_threads %d\n", omp_get_num_threads());
if (strlen(knowenWords[j]) > 2)
{
cmpRes = strcmp(decodedSplitArray[i], knowenWords[j]);
if (cmpRes == 0) // * words match
{
cond = 1;
// break;
}
}
}
// if (cond)
// break;
}
if (cond)
break;
// * free current iteration
free(decodedSplitArray);
free(decodedText);
// * return pointer to start of the file
fseek(input, 0, SEEK_SET);
if (keyInt == 0xFFFF)
keyInt = 0x01000000;
else
keyInt++;
}
if (cond)
{
fprintf(stderr, "\nSuccsess!\nKey is: 0x%s\nDecoded text is:\n%s\n\n", keyString, decodedText);
free(decodedSplitArray);
free(decodedText);
}
else
{
fprintf(stderr, "\nFailure! No valid key was found\n");
}
// * clean all
clean(knowenWords, keyString, inputfileText, input, output, knowenWordsFile);
end = time(NULL);
fprintf(stderr, "Time taken to calculate the key is %.2f seconds\n", difftime(end, start));
return 0;
// MPI_Finalize();
} // * main
// void checkNumProcs(int size, int n)
// {
// if (size != n)
// {
// fprintf(stderr, "Run with two processes only\n");
// MPI_Abort(MPI_COMM_WORLD, __LINE__);
// }
// } |
sell_kacz_bmc.c | #include "ghost/sell_kacz_bmc.h"
#define NVECS 1
#define CHUNKHEIGHT 1
#if (NVECS==1 && CHUNKHEIGHT==1)
//this is necessary since #pragma omp for doesn't understand !=
#define FORWARD_LOOP(start,end) \
for (ghost_lidx row=start; row<end; ++row){ \
double rownorm = 0.; \
double scal = 0; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) \
scal = -bval[row]; \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
scal += (double)mval[idx] * xval[mat->col[idx]]; \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx += 1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
scal /= (double)rownorm; \
} \
scal *= omega; \
idx -= mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
xval[mat->col[idx]] = xval[mat->col[idx]] - scal * (double)mval[idx];\
idx += 1; \
} \
} \
#define BACKWARD_LOOP(start,end) \
for (ghost_lidx row=start; row>end; --row){ \
double rownorm = 0.; \
double scal = 0; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) \
scal = -bval[row]; \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
scal += (double)mval[idx] * xval[mat->col[idx]]; \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx += 1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
scal /= (double)rownorm; \
} \
scal *= omega; \
idx -= mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
xval[mat->col[idx]] = xval[mat->col[idx]] - scal * (double)mval[idx];\
idx += 1; \
} \
} \
#define LOOP(start,end,stride) \
for (ghost_lidx row=start; row!=end; row+=stride){ \
double rownorm = 0.; \
double scal = 0; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) \
scal = -bval[row]; \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
scal += (double)mval[idx] * xval[mat->col[idx]]; \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx += 1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
scal /= (double)rownorm; \
} \
scal *= omega; \
idx -= mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
xval[mat->col[idx]] = xval[mat->col[idx]] - scal * (double)mval[idx];\
idx += 1; \
} \
} \
#else
#define FORWARD_LOOP(start,end) \
start_rem = start%CHUNKHEIGHT; \
start_chunk = start/CHUNKHEIGHT+1; \
end_chunk = end/CHUNKHEIGHT; \
end_rem = end%CHUNKHEIGHT; \
chunk = 0; \
rowinchunk = 0; \
idx=0, row=0; \
for(rowinchunk=start_rem; rowinchunk<CHUNKHEIGHT; ++rowinchunk) { \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
idx = mat->chunkStart[start_chunk-1] + rowinchunk; \
row = rowinchunk + (start_chunk-1)*CHUNKHEIGHT; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=CHUNKHEIGHT; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= CHUNKHEIGHT*mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += CHUNKHEIGHT; \
} \
} \
\
for (chunk=start_chunk; chunk<end_chunk; ++chunk){ \
for(rowinchunk=0; rowinchunk<CHUNKHEIGHT; ++rowinchunk) { \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
idx = mat->chunkStart[chunk] + rowinchunk; \
row = rowinchunk + chunk*CHUNKHEIGHT; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=CHUNKHEIGHT; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= CHUNKHEIGHT*mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += CHUNKHEIGHT; \
} \
} \
} \
for(rowinchunk=0; rowinchunk<end_rem; ++rowinchunk) { \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
idx = mat->chunkStart[end_chunk] + rowinchunk; \
row = rowinchunk + (end_chunk)*CHUNKHEIGHT; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=CHUNKHEIGHT; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= CHUNKHEIGHT*mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += CHUNKHEIGHT; \
} \
} \
#define BACKWARD_LOOP(start,end) \
start_rem = start%CHUNKHEIGHT; \
start_chunk = start/CHUNKHEIGHT-1; \
end_chunk = end/CHUNKHEIGHT; \
end_rem = end%CHUNKHEIGHT; \
chunk = 0; \
rowinchunk = 0; \
idx=0, row=0; \
for(rowinchunk=start_rem; rowinchunk>=0; --rowinchunk) { \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
idx = mat->chunkStart[start_chunk+1] + rowinchunk; \
row = rowinchunk + (start_chunk+1)*CHUNKHEIGHT; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=CHUNKHEIGHT; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= CHUNKHEIGHT*mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += CHUNKHEIGHT; \
} \
} \
\
for (chunk=start_chunk; chunk>end_chunk; --chunk){ \
for(rowinchunk=CHUNKHEIGHT-1; rowinchunk>=0; --rowinchunk) { \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
idx = mat->chunkStart[chunk] + rowinchunk; \
row = rowinchunk + chunk*CHUNKHEIGHT; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=CHUNKHEIGHT; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= CHUNKHEIGHT*mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += CHUNKHEIGHT; \
} \
} \
} \
for(rowinchunk=CHUNKHEIGHT-1; rowinchunk>end_rem; --rowinchunk) { \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
idx = mat->chunkStart[end_chunk] + rowinchunk; \
row = rowinchunk + (end_chunk)*CHUNKHEIGHT; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=CHUNKHEIGHT; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= CHUNKHEIGHT*mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += CHUNKHEIGHT; \
} \
} \
#endif
#define LOCK_NEIGHBOUR(tid) \
if(tid == 0) \
flag[0] = zone+1; \
if(tid == nthreads-1) \
flag[nthreads+1] = zone+1; \
\
flag[tid+1] = zone+1; \
_Pragma("omp flush") \
\
if(opts.direction == GHOST_KACZ_DIRECTION_FORWARD) { \
while(flag[tid+2]<zone+1){ \
_Pragma("omp flush") \
} \
} else { \
while(flag[tid]<zone+1 ){ \
_Pragma("omp flush") \
} \
}
/* for (ghost_lidx row=start; row>end; --row){ \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += 1; \
} \
} \
#define LOOP_CHUNKHEIGHT_NVECS(start,end,stride) \
for (ghost_lidx row=start; row!=end; row+=stride){ \
double rownorm = 0.; \
double scal[NVECS] = {0}; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] = -bval[NVECS*row+block]; \
} \
} \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
for(int block=0; block<NVECS; ++block) { \
scal[block] += (double)mval[idx] * xval[NVECS*mat->col[idx]+block]; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx+=1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
for(int block=0; block<NVECS; ++block){ \
scal[block] /= (double)rownorm; \
scal[block] *= omega; \
} \
} \
idx -= mat->rowLen[row]; \
\
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
for(int block=0; block<NVECS; ++block) { \
xval[NVECS*mat->col[idx]+block] = xval[NVECS*mat->col[idx]+block] - scal[block] * (double)mval[idx];\
} \
idx += 1; \
} \
} \
*/
ghost_error ghost_initialize_kacz_bmc(ghost_sparsemat *mat, ghost_densemat *b, ghost_kacz_opts opts)
{
double *mval = (double *)mat->val;
double *bval = (double *)(b->val);
double rownorm = 0;
ghost_lidx idx;
//normalize if necessary
if(opts.normalize == GHOST_KACZ_NORMALIZE_YES) {
for(int row=0; row < SPM_NROWS(mat); ++row) {
rownorm = 0;
idx = mat->chunkStart[row];
for (int j=0; j<mat->rowLen[row]; ++j) {
rownorm += mval[idx]*mval[idx];
idx += 1;
}
bval[row] = (double)(bval[row])/rownorm;
idx = mat->chunkStart[row];
for (int j=0; j<mat->rowLen[row]; ++j) {
mval[idx] = (double)(mval[idx])/sqrt(rownorm);
idx += 1;
}
}
}
return GHOST_SUCCESS;
}
ghost_error ghost_kacz_bmc(ghost_densemat *x, ghost_sparsemat *mat, ghost_densemat *b, ghost_kacz_opts opts)
{
GHOST_FUNC_ENTER(GHOST_FUNCTYPE_MATH|GHOST_FUNCTYPE_KERNEL);
//int flag_err = 0;
//currently only implementation for SELL-1-1
//const int CHUNKHEIGHT = 1;
//const int NVECS = 1;
#if CHUNKHEIGHT>1
ghost_lidx start_rem, start_chunk, end_chunk, end_rem;
ghost_lidx chunk = 0;
ghost_lidx rowinchunk = 0;
ghost_lidx idx=0, row=0;
#endif
if (mat->context->nzones == 0 || mat->context->zone_ptr == NULL){
GHOST_ERROR_LOG("Splitting of matrix by Block Multicoloring has not be done!");
}
/* if (NVECS > 1) {
GHOST_ERROR_LOG("Multi-vec not implemented!");
return GHOST_ERR_NOT_IMPLEMENTED;
}
*/
double *bval = NULL;
if(b!= NULL)
bval = (double *)(b->val);
double *xval = (double *)(x->val);
double *mval = (double *)mat->val;
double omega = *(double *)opts.omega;
ghost_lidx *zone_ptr = (ghost_lidx*) mat->context->zone_ptr;
//ghost_lidx nzones = mat->context->nzones;
ghost_lidx *color_ptr= (ghost_lidx*) mat->context->color_ptr;
//ghost_lidx ncolors = mat->context->ncolors;
ghost_lidx nthreads = mat->context->kacz_setting.active_threads;
// disables dynamic thread adjustments
ghost_omp_set_dynamic(0);
ghost_omp_nthread_set(nthreads);
//printf("Setting number of threads to %d for KACZ sweep\n",nthreads);
ghost_lidx *flag;
flag = (ghost_lidx*) malloc((nthreads+2)*sizeof(ghost_lidx));
for (int i=0; i<nthreads+2; i++) {
flag[i] = 0;
}
//always execute first and last blocks
flag[0] = 1;
flag[nthreads+1] = 1;
//Do multicolored rows, if in backward direction
int mc_start, mc_end;
ghost_lidx stride = 0;
if (opts.direction == GHOST_KACZ_DIRECTION_BACKWARD) {
//for time being single thread
for(int i=mat->context->ncolors; i>0; --i) {
mc_start = color_ptr[i]-1;
mc_end = color_ptr[i-1]-1;
stride = -1;
#ifdef GHOST_HAVE_OPENMP
#pragma omp parallel for
#endif
BACKWARD_LOOP(mc_start,mc_end)
}
}
#ifdef GHOST_HAVE_OPENMP
#pragma omp parallel private(stride)
{
#endif
ghost_lidx start[4];
ghost_lidx end[4];
ghost_lidx tid = ghost_omp_threadnum();
stride = 0;
if (opts.direction == GHOST_KACZ_DIRECTION_BACKWARD) {
start[0] = zone_ptr[4*tid+4]-1;
end[0] = zone_ptr[4*tid+3]-1;
start[1] = zone_ptr[4*tid+3]-1;
end[1] = zone_ptr[4*tid+2]-1;
start[2] = zone_ptr[4*tid+2]-1;
end[2] = zone_ptr[4*tid+1]-1;
start[3] = zone_ptr[4*tid+1]-1;
end[3] = zone_ptr[4*tid] -1;
stride = -1;
} else {
start[0] = zone_ptr[4*tid];
end[0] = zone_ptr[4*tid+1];
start[1] = zone_ptr[4*tid+1];
end[1] = zone_ptr[4*tid+2];
start[2] = zone_ptr[4*tid+2];
end[2] = zone_ptr[4*tid+3];
start[3] = zone_ptr[4*tid+3];
end[3] = zone_ptr[4*tid+4];
stride = 1;
}
//double rownorm = 0.;
if(mat->context->kacz_setting.kacz_method == GHOST_KACZ_METHOD_BMC_one_sweep) {
for(ghost_lidx zone = 0; zone<4; ++zone) {
LOOP(start[zone],end[zone],stride);
/* if (opts.direction == GHOST_KACZ_DIRECTION_FORWARD) {
FORWARD_LOOP(start[zone],end[zone])
}
else{
BACKWARD_LOOP(start[zone],end[zone])
}
*/
#pragma omp barrier
//TODO A more efficient way of locking is necessary, normal locks makes problem if the matrix size is small
//but this explicit flush method is expensive than barrier
/* if(tid == 0)
flag[0] = zone+1;
if(tid == nthreads-1)
flag[nthreads+1] = zone+1;
flag[tid+1] = zone+1;
#pragma omp flush
if(opts.direction == GHOST_KACZ_DIRECTION_FORWARD) {
while(flag[tid+2]<zone+1){
// printf("Forward: thread %d spinning, my flag is %d, neighbour flag is %d and zone = %d\n",tid, flag[tid+1], flag[tid+2],zone+1);
#pragma omp flush
}
} else {
while(flag[tid]<zone+1 ){
//printf("Backward: thread %d spinning, flag is %d\n",tid, flag[tid]);
#pragma omp flush
}
}
*/
// LOCK_NEIGHBOUR(tid)
}
} else if (mat->context->kacz_setting.kacz_method == GHOST_KACZ_METHOD_BMC_two_sweep) {
LOOP(start[0],end[0],stride)
#pragma omp barrier
if(opts.direction == GHOST_KACZ_DIRECTION_BACKWARD) {
if(tid%2 != 0) {
BACKWARD_LOOP(start[1],end[1])
}
#pragma omp barrier
if(tid%2 == 0) {
BACKWARD_LOOP(start[1],end[1])
}
} else {
FORWARD_LOOP(start[1],end[1])
}
#pragma omp barrier
if(opts.direction == GHOST_KACZ_DIRECTION_FORWARD) {
if(tid%2 == 0) {
FORWARD_LOOP(start[2],end[2])
}
#pragma omp barrier
if(tid%2 != 0) {
FORWARD_LOOP(start[2],end[2])
}
} else {
BACKWARD_LOOP(start[2],end[2])
}
#pragma omp barrier
LOOP(start[3],end[3],stride)
}
#ifdef GHOST_HAVE_OPENMP
}
#endif
//do multicoloring if in FORWARD direction
if (opts.direction == GHOST_KACZ_DIRECTION_FORWARD) {
for(int i=0; i<mat->context->ncolors; ++i) {
//for time being single thread
mc_start = color_ptr[i];
mc_end = color_ptr[i+1];
stride = 1;
#ifdef GHOST_HAVE_OPENMP
#pragma omp parallel for
#endif
FORWARD_LOOP(mc_start,mc_end)
}
}
free(flag);
GHOST_FUNC_EXIT(GHOST_FUNCTYPE_MATH|GHOST_FUNCTYPE_KERNEL);
return GHOST_SUCCESS;
}
//this is necessary since #pragma omp for doesn't understand !=
#define FORWARD_SHIFT_LOOP(start,end) \
for (ghost_lidx row=start; row<end; ++row){ \
double inv_rownorm; \
double rownorm = sigma_r*sigma_r + sigma_i*sigma_i; \
double scal_r = sigma_r*x_r[row] - sigma_i*x_i[row]; \
double scal_i = sigma_r*x_i[row] + sigma_i*x_r[row]; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) \
scal_r += bval[row]; \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
scal_r -= (double)mval[idx] * x_r[mat->col[idx]]; \
scal_i -= (double)mval[idx] * x_i[mat->col[idx]]; \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx += 1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
inv_rownorm = 1.0/rownorm; \
scal_r *= inv_rownorm; \
scal_i *= inv_rownorm; \
} \
scal_r *= omega; \
scal_i *= omega; \
idx -= mat->rowLen[row]; \
\
x_r[row] = x_r[row] - scal_r*sigma_r + scal_i*sigma_i; \
x_i[row] = x_i[row] - scal_r*sigma_i - scal_i*sigma_r; \
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
x_r[mat->col[idx]] = x_r[mat->col[idx]] + scal_r * (double)mval[idx];\
x_i[mat->col[idx]] = x_i[mat->col[idx]] + scal_i * (double)mval[idx];\
idx += 1; \
} \
}
#define BACKWARD_SHIFT_LOOP(start,end) \
for (ghost_lidx row=start; row>end; --row){ \
double inv_rownorm; \
double rownorm = sigma_r*sigma_r + sigma_i*sigma_i; \
double scal_r = sigma_r*x_r[row] - sigma_i*x_i[row]; \
double scal_i = sigma_r*x_i[row] + sigma_i*x_r[row]; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) \
scal_r += bval[row]; \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
scal_r -= (double)mval[idx] * x_r[mat->col[idx]]; \
scal_i -= (double)mval[idx] * x_i[mat->col[idx]]; \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx += 1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
inv_rownorm = 1.0/rownorm; \
scal_r *= inv_rownorm; \
scal_i *= inv_rownorm; \
} \
scal_r *= omega; \
scal_i *= omega; \
idx -= mat->rowLen[row]; \
\
x_r[row] = x_r[row] - scal_r*sigma_r + scal_i*sigma_i; \
x_i[row] = x_i[row] - scal_r*sigma_i - scal_i*sigma_r; \
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
x_r[mat->col[idx]] = x_r[mat->col[idx]] + scal_r * (double)mval[idx];\
x_i[mat->col[idx]] = x_i[mat->col[idx]] + scal_i * (double)mval[idx];\
idx += 1; \
} \
}
#define SHIFT_LOOP(start,end,stride) \
for (ghost_lidx row=start; row!=end; row+=stride){ \
double inv_rownorm; \
double rownorm = sigma_r*sigma_r + sigma_i*sigma_i; \
double scal_r = sigma_r*x_r[row] - sigma_i*x_i[row]; \
double scal_i = sigma_r*x_i[row] + sigma_i*x_r[row]; \
ghost_lidx idx = mat->chunkStart[row]; \
\
if(bval != NULL) \
scal_r += bval[row]; \
for (ghost_lidx j=0; j<mat->rowLen[row]; ++j) { \
scal_r -= (double)mval[idx] * x_r[mat->col[idx]]; \
scal_i -= (double)mval[idx] * x_i[mat->col[idx]]; \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO) \
rownorm += mval[idx]*mval[idx]; \
idx += 1; \
} \
if(opts.normalize==GHOST_KACZ_NORMALIZE_NO){ \
inv_rownorm = 1.0/rownorm; \
scal_r *= inv_rownorm; \
scal_i *= inv_rownorm; \
} \
scal_r *= omega; \
scal_i *= omega; \
idx -= mat->rowLen[row]; \
\
x_r[row] = x_r[row] - scal_r*sigma_r + scal_i*sigma_i; \
x_i[row] = x_i[row] - scal_r*sigma_i - scal_i*sigma_r; \
_Pragma("simd vectorlength(4)") \
for (ghost_lidx j=0; j<mat->rowLen[row]; j++) { \
x_r[mat->col[idx]] = x_r[mat->col[idx]] + scal_r * (double)mval[idx];\
x_i[mat->col[idx]] = x_i[mat->col[idx]] + scal_i * (double)mval[idx];\
idx += 1; \
} \
} \
ghost_error ghost_kacz_shift_bmc(ghost_densemat *x_real, ghost_densemat *x_imag, ghost_sparsemat *mat, ghost_densemat *b, double sigma_r, double sigma_i, ghost_kacz_opts opts)
{
GHOST_FUNC_ENTER(GHOST_FUNCTYPE_MATH|GHOST_FUNCTYPE_KERNEL);
//int flag_err = 0;
//currently only implementation for SELL-1-1
//const int CHUNKHEIGHT = 1;
// const int NVECS = 1;
if (mat->context->nzones == 0 || mat->context->zone_ptr == NULL){
GHOST_ERROR_LOG("Splitting of matrix by Block Multicoloring has not be done!");
}
if (NVECS > 1) {
GHOST_ERROR_LOG("Multi-vec not implemented!");
return GHOST_ERR_NOT_IMPLEMENTED;
}
double *bval = NULL;
if(b!= NULL)
bval = (double *)(b->val);
double *x_r = (double *)(x_real->val);
double *x_i = (double *)(x_imag->val);
double *mval = (double *)mat->val;
double omega = *(double *)opts.omega;
ghost_lidx *zone_ptr = (ghost_lidx*) mat->context->zone_ptr;
//ghost_lidx nzones = mat->context->nzones;
ghost_lidx *color_ptr= (ghost_lidx*) mat->context->color_ptr;
//ghost_lidx ncolors = mat->context->ncolors;
ghost_lidx nthreads = mat->context->kacz_setting.active_threads;
// disables dynamic thread adjustments
ghost_omp_set_dynamic(0);
ghost_omp_nthread_set(nthreads);
//printf("Setting number of threads to %d for KACZ sweep\n",nthreads);
ghost_lidx *flag;
flag = (ghost_lidx*) malloc((nthreads+2)*sizeof(ghost_lidx));
for (int i=0; i<nthreads+2; i++) {
flag[i] = 0;
}
//always execute first and last blocks
flag[0] = 1;
flag[nthreads+1] = 1;
//Do multicolored rows, if in backward direction
int mc_start, mc_end;
ghost_lidx stride = 0;
if (opts.direction == GHOST_KACZ_DIRECTION_BACKWARD) {
//for time being single thread
for(int i=mat->context->ncolors; i>0; --i) {
mc_start = color_ptr[i]-1;
mc_end = color_ptr[i-1]-1;
stride = -1;
#ifdef GHOST_HAVE_OPENMP
#pragma omp parallel for
#endif
BACKWARD_SHIFT_LOOP(mc_start,mc_end)
}
}
#ifdef GHOST_HAVE_OPENMP
#pragma omp parallel private(stride)
{
#endif
ghost_lidx start[4];
ghost_lidx end[4];
ghost_lidx tid = ghost_omp_threadnum();
// ghost_lidx stride = 0;
if (opts.direction == GHOST_KACZ_DIRECTION_BACKWARD) {
start[0] = zone_ptr[4*tid+4]-1;
end[0] = zone_ptr[4*tid+3]-1;
start[1] = zone_ptr[4*tid+3]-1;
end[1] = zone_ptr[4*tid+2]-1;
start[2] = zone_ptr[4*tid+2]-1;
end[2] = zone_ptr[4*tid+1]-1;
start[3] = zone_ptr[4*tid+1]-1;
end[3] = zone_ptr[4*tid] -1;
stride = -1;
} else {
start[0] = zone_ptr[4*tid];
end[0] = zone_ptr[4*tid+1];
start[1] = zone_ptr[4*tid+1];
end[1] = zone_ptr[4*tid+2];
start[2] = zone_ptr[4*tid+2];
end[2] = zone_ptr[4*tid+3];
start[3] = zone_ptr[4*tid+3];
end[3] = zone_ptr[4*tid+4];
stride = 1;
}
//double rownorm = 0.;
if(mat->context->kacz_setting.kacz_method == GHOST_KACZ_METHOD_BMC_one_sweep) {
for(ghost_lidx zone = 0; zone<4; ++zone) {
SHIFT_LOOP(start[zone],end[zone],stride)
#pragma omp barrier
//TODO A more efficient way of locking is necessary, normal locks makes problem if the matrix size is small
//but this explicit flush method is expensive than barrier
/* if(tid == 0)
flag[0] = zone+1;
if(tid == nthreads-1)
flag[nthreads+1] = zone+1;
flag[tid+1] = zone+1;
#pragma omp flush
if(opts.direction == GHOST_KACZ_DIRECTION_FORWARD) {
while(flag[tid+2]<zone+1){
// printf("Forward: thread %d spinning, my flag is %d, neighbour flag is %d and zone = %d\n",tid, flag[tid+1], flag[tid+2],zone+1);
#pragma omp flush
}
} else {
while(flag[tid]<zone+1 ){
//printf("Backward: thread %d spinning, flag is %d\n",tid, flag[tid]);
#pragma omp flush
}
}
*/
// LOCK_NEIGHBOUR(tid)
}
} else if (mat->context->kacz_setting.kacz_method == GHOST_KACZ_METHOD_BMC_two_sweep) {
//TODO remove barriers its for testing
SHIFT_LOOP(start[0],end[0],stride)
#pragma omp barrier
if(opts.direction == GHOST_KACZ_DIRECTION_BACKWARD) {
if(tid%2 != 0) {
SHIFT_LOOP(start[1],end[1],stride)
}
#pragma omp barrier
if(tid%2 == 0) {
SHIFT_LOOP(start[1],end[1],stride)
}
} else {
SHIFT_LOOP(start[1],end[1],stride)
}
#pragma omp barrier
if(opts.direction == GHOST_KACZ_DIRECTION_FORWARD) {
if(tid%2 == 0) {
SHIFT_LOOP(start[2],end[2],stride)
}
#pragma omp barrier
if(tid%2 != 0) {
SHIFT_LOOP(start[2],end[2],stride)
}
} else {
SHIFT_LOOP(start[2],end[2],stride)
}
#pragma omp barrier
SHIFT_LOOP(start[3],end[3],stride)
}
#ifdef GHOST_HAVE_OPENMP
}
#endif
//do multicoloring if in FORWARD direction
if (opts.direction == GHOST_KACZ_DIRECTION_FORWARD) {
for(int i=0; i<mat->context->ncolors; ++i) {
//for time being single thread
mc_start = color_ptr[i];
mc_end = color_ptr[i+1];
stride = 1;
#ifdef GHOST_HAVE_OPENMP
#pragma omp parallel for
#endif
FORWARD_SHIFT_LOOP(mc_start,mc_end)
}
}
free(flag);
GHOST_FUNC_EXIT(GHOST_FUNCTYPE_MATH|GHOST_FUNCTYPE_KERNEL);
return GHOST_SUCCESS;
}
|
nbody_barnes_hut.c | /*
** nbody_barnes_hut.c - nbody simulation that implements the Barnes-Hut algorithm (O(nlog(n)))
**
**/
#include <stdio.h>
#include <stdlib.h>
#include <pthread.h>
#include <math.h>
#include <sys/time.h>
#include <assert.h>
#include <unistd.h>
#ifdef DISPLAY
#include <X11/Xlib.h>
#include <X11/Xutil.h>
#endif
#include "ui.h"
#include "nbody.h"
#include "nbody_tools.h"
#include "nbody_alloc.h"
#define LEVEL_SUBTRACT 2
FILE* f_out=NULL;
int nparticles=10; /* number of particles */
float T_FINAL=1.0; /* simulation end time */
particle_t*particles;
node_t *root;
double sum_speed_sq = 0;
double max_acc = 0;
double max_speed = 0;
void init() {
init_alloc(4*nparticles);
root = malloc(sizeof(node_t));
init_node(root, NULL, XMIN, XMAX, YMIN, YMAX);
}
#ifdef DISPLAY
extern Display *theDisplay; /* These three variables are required to open the */
extern GC theGC; /* particle plotting window. They are externally */
extern Window theMain; /* declared in ui.h but are also required here. */
#endif
/* compute the force that a particle with position (x_pos, y_pos) and mass 'mass'
* applies to particle p
*/
void compute_force(particle_t*p, double x_pos, double y_pos, double mass) {
double x_sep, y_sep, dist_sq, grav_base;
x_sep = x_pos - p->x_pos;
y_sep = y_pos - p->y_pos;
dist_sq = MAX((x_sep*x_sep) + (y_sep*y_sep), 0.01);
/* Use the 2-dimensional gravity rule: F = d * (GMm/d^2) */
grav_base = GRAV_CONSTANT*(p->mass)*(mass)/dist_sq;
p->x_force += grav_base*x_sep;
p->y_force += grav_base*y_sep;
}
/* compute the force that node n acts on particle p */
void compute_force_on_particle(node_t* n, particle_t *p) {
if(! n || n->n_particles==0) {
return;
}
if(n->particle) {
/* only one particle */
assert(n->children == NULL);
/*
If the current node is an external node (and it is not body b),
calculate the force exerted by the current node on b, and add
this amount to b's net force.
*/
compute_force(p, n->x_center, n->y_center, n->mass);
} else {
/* There are multiple particles */
#define THRESHOLD 2
double size = n->x_max - n->x_min; // width of n
double diff_x = n->x_center - p->x_pos;
double diff_y = n->y_center - p->y_pos;
double distance = sqrt(diff_x*diff_x + diff_y*diff_y);
#if BRUTE_FORCE
/*
Run the procedure recursively on each of the current
node's children.
--> This result in a brute-force computation (complexity: O(n*n))
*/
int i;
for(i=0; i<4; i++) {
compute_force_on_particle(&n->children[i], p);
}
#else
/* Use the Barnes-Hut algorithm to get an approximation */
if(size / distance < THRESHOLD) {
/*
The particle is far away. Use an approximation of the force
*/
compute_force(p, n->x_center, n->y_center, n->mass);
} else {
/*
Otherwise, run the procedure recursively on each of the current
node's children.
*/
int i;
for(i=0; i<4; i++) {
compute_force_on_particle(&n->children[i], p);
}
}
#endif
}
}
/*
void serial_compute_force_in_node(node_t *n) {
if(!n) return;
if(n->particle) {
particle_t*p = n->particle;
p->x_force = 0;
p->y_force = 0;
compute_force_on_particle(root, p);
}
if(n->children) {
int i;
for(i=0; i<4; i++) {
serial_compute_force_in_node(&n->children[i]);
}
}
}
*/
void compute_force_in_node(node_t *n) {
if(!n) return;
if(n->particle) {
particle_t*p = n->particle;
p->x_force = 0;
p->y_force = 0;
compute_force_on_particle(root, p);
}
if(n->children) {
int i;
for(i=0; i<4; i++) {;
compute_force_in_node(&n->children[i]);
}
}
}
/* compute the new position/velocity */
void move_particle(particle_t*p, double step, node_t* new_root) {
p->x_pos += (p->x_vel)*step;
p->y_pos += (p->y_vel)*step;
double x_acc = p->x_force/p->mass;
double y_acc = p->y_force/p->mass;
p->x_vel += x_acc*step;
p->y_vel += y_acc*step;
/* compute statistics */
double cur_acc = (x_acc*x_acc + y_acc*y_acc);
cur_acc = sqrt(cur_acc);
double speed_sq = (p->x_vel)*(p->x_vel) + (p->y_vel)*(p->y_vel);
double cur_speed = sqrt(speed_sq);
sum_speed_sq += speed_sq;
max_acc = MAX(max_acc, cur_acc);
max_speed = MAX(max_speed, cur_speed);
p->node = NULL;
if(p->x_pos < new_root->x_min ||
p->x_pos > new_root->x_max ||
p->y_pos < new_root->y_min ||
p->y_pos > new_root->y_max) {
free(p);
nparticles--;
} else {
//omp_set_lock(&lock);
insert_particle(p, new_root);
//omp_unset_lock(&lock);
}
}
/* compute the new position of the particles in a node */
void move_particles_in_node(node_t*n, double step, node_t *new_root) {
if(!n) return;
if(n->particle) {
particle_t*p = n->particle;
move_particle(p, step, new_root);
}
if(n->children) {
int i;
//#pragma omp parallel
//{
//#pragma omp single
for(i=0; i<4; i++) {
//#pragma omp task
move_particles_in_node(&n->children[i], step, new_root);
}
//}
}
}
/*
Move particles one time step.
Update positions, velocity, and acceleration.
Return local computations.
*/
void all_move_particles(double step)
{
/* First calculate force for particles. */
int i=0;
#pragma omp parallel for schedule(dynamic)
for(i=0;i<nparticles;i++) {
compute_force_in_node(particles[i].node);
}
node_t* new_root = malloc(sizeof(node_t));
init_node(new_root, NULL, XMIN, XMAX, YMIN, YMAX);
/* then move all particles and return statistics */
move_particles_in_node(root, step, new_root);
free_node(root);
free(root);
root = new_root;
}
void run_simulation() {
double t = 0.0, dt = 0.01;
while (t < T_FINAL && nparticles>0) {
/* Update time. */
t += dt;
/* Move particles with the current and compute rms velocity. */
all_move_particles(dt);
/* Adjust dt based on maximum speed and acceleration--this
simple rule tries to insure that no velocity will change
by more than 10% */
dt = 0.1*max_speed/max_acc;
/* Plot the movement of the particle */
#if DISPLAY
node_t *n = root;
clear_display();
draw_node(n);
flush_display();
#endif
}
//int i=0;
/*for(;i<nparticles;i++){
printf("pos = (%lf,%lf)\n",particles[i].x_pos,particles[i].y_pos);
}*/
}
/* create a quad-tree from an array of particles */
void insert_all_particles(int nparticles, particle_t*particles, node_t*root) {
int i=0;
for(i=0; i<nparticles; i++) {
insert_particle(&particles[i], root);
}
}
/*
Simulate the movement of nparticles particles.
*/
int main(int argc, char**argv)
{
if(argc >= 2) {
nparticles = atoi(argv[1]);
}
if(argc == 3) {
T_FINAL = atof(argv[2]);
}
omp_init_lock(&lock);
init();
/* Allocate global shared arrays for the particles data set. */
particles = malloc(sizeof(particle_t)*nparticles);
all_init_particles(nparticles, particles);
insert_all_particles(nparticles, particles, root);
/* Initialize thread data structures */
#ifdef DISPLAY
/* Open an X window to display the particles */
simple_init (100,100,DISPLAY_SIZE, DISPLAY_SIZE);
#endif
struct timeval t1, t2;
gettimeofday(&t1, NULL);
/* Main thread starts simulation ... */
run_simulation();
gettimeofday(&t2, NULL);
double duration = (t2.tv_sec -t1.tv_sec)+((t2.tv_usec-t1.tv_usec)/1e6);
#ifdef DUMP_RESULT
FILE* f_out = fopen("particles.log", "w");
assert(f_out);
print_particles(f_out, root);
fclose(f_out);
#endif
printf("-----------------------------\n");
printf("nparticles: %d\n", nparticles);
printf("T_FINAL: %f\n", T_FINAL);
printf("-----------------------------\n");
printf("Simulation took %lf s to complete\n", duration);
#ifdef DISPLAY
node_t *n = root;
clear_display();
draw_node(n);
flush_display();
printf("Hit return to close the window.");
getchar();
/* Close the X window used to display the particles */
XCloseDisplay(theDisplay);
#endif
omp_destroy_lock(&lock);
return 0;
}
|
edgelist.h | /******************************************************************************
* ** Copyright (c) 2016, Intel Corporation **
* ** All rights reserved. **
* ** **
* ** Redistribution and use in source and binary forms, with or without **
* ** modification, are permitted provided that the following conditions **
* ** are met: **
* ** 1. Redistributions of source code must retain the above copyright **
* ** notice, this list of conditions and the following disclaimer. **
* ** 2. Redistributions in binary form must reproduce the above copyright **
* ** notice, this list of conditions and the following disclaimer in the **
* ** documentation and/or other materials provided with the distribution. **
* ** 3. Neither the name of the copyright holder nor the names of its **
* ** contributors may be used to endorse or promote products derived **
* ** from this software without specific prior written permission. **
* ** **
* ** THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS **
* ** "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT **
* ** LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR **
* ** A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT **
* ** HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, **
* ** SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED **
* ** TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR **
* ** PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF **
* ** LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING **
* ** NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS **
* ** SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
* * ******************************************************************************/
/* Michael Anderson (Intel Corp.)
* * ******************************************************************************/
#ifndef SRC_EDGELIST_H_
#define SRC_EDGELIST_H_
template <typename T>
struct edge_t {
edge_t() {}
edge_t(int _src, int _dst, T _val)
{
src = _src;
dst = _dst;
val = _val;
}
int src;
int dst;
T val;
};
template <typename T>
struct edgelist_t {
edge_t<T>* edges;
int m;
int n;
int nnz;
edgelist_t() : m(0), n(0), nnz(0) {}
edgelist_t(int _m, int _n, int _nnz)
{
m = _m;
n = _n;
nnz = _nnz;
edges = (edge_t<T>*)_mm_malloc(nnz * sizeof(edge_t<T>), 64);
}
};
template <typename T>
struct tedge_t {
int src;
int dst;
int tile_id;
T val;
};
template <typename T>
void load_edgelist(const char* dir, int myrank, int nrank,
edgelist_t<T>* edgelist) {
edgelist->nnz = 0;
for(int i = global_myrank ; ; i += global_nrank)
{
std::stringstream fname_ss;
fname_ss << dir << i;
//printf("Opening file: %s\n", fname_ss.str().c_str());
FILE* fp = fopen(fname_ss.str().c_str(), "r");
if(!fp) break;
int tmp_[3];
fread(tmp_, sizeof(int), 3, fp);
edgelist->m = tmp_[0];
edgelist->n = tmp_[1];
edgelist->nnz += tmp_[2];
fclose(fp);
}
MPI_Bcast(&(edgelist->m), 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&(edgelist->n), 1, MPI_INT, 0, MPI_COMM_WORLD);
std::cout << "Got: " << edgelist->nnz << " edges\n" << std::endl;
edgelist->edges = reinterpret_cast<edge_t<T>*>(
_mm_malloc((uint64_t)edgelist->nnz * (uint64_t)sizeof(edge_t<T>), 64));
int nnzcnt = 0;
for(int i = global_myrank ; ; i += global_nrank)
{
std::stringstream fname_ss;
fname_ss << dir << i;
//printf("Opening file: %s\n", fname_ss.str().c_str());
FILE* fp = fopen(fname_ss.str().c_str(), "r");
if(!fp) break;
int tmp_[3];
fread(tmp_, sizeof(int), 3, fp);
assert(tmp_[0] == edgelist->m);
assert(tmp_[1] == edgelist->n);
fread(edgelist->edges + nnzcnt, sizeof(edge_t<T>), tmp_[2], fp);
#ifdef __DEBUG
for(int j = 0 ; j < tmp_[2] ; j++)
{
if(edgelist->edges[nnzcnt].src <= 0 ||
edgelist->edges[nnzcnt].dst <= 0 ||
edgelist->edges[nnzcnt].src > edgelist->m ||
edgelist->edges[nnzcnt].dst > edgelist->n)
{
std::cout << "Invalid edge, i, j, nnz: " << i << " , " << j << " , " << nnzcnt << std::endl;
exit(0);
}
nnzcnt++;
}
#else
nnzcnt += tmp_[2];
#endif
fclose(fp);
}
}
template <typename T>
void write_edgelist_txt(const char* dir, int myrank, int nrank,
const edgelist_t<T> & edgelist)
{
std::stringstream fname_ss;
fname_ss << dir << global_myrank;
printf("Opening file: %s\n", fname_ss.str().c_str());
FILE * fp = fopen(fname_ss.str().c_str(), "w");
fprintf(fp, "%d %d %u\n", edgelist.m, edgelist.n, edgelist.nnz);
for(int i = 0 ; i < edgelist.nnz ; i++)
{
fprintf(fp, "%d %d %.15e\n", edgelist.edges[i].src, edgelist.edges[i].dst, edgelist.edges[i].val);
}
fclose(fp);
}
template <typename T>
void load_edgelist_txt(const char* dir, int myrank, int nrank,
edgelist_t<T>* edgelist) {
edgelist->nnz = 0;
for(int i = global_myrank ; ; i += global_nrank)
{
std::stringstream fname_ss;
fname_ss << dir << i;
//printf("Opening file: %s\n", fname_ss.str().c_str());
FILE* fp = fopen(fname_ss.str().c_str(), "r");
if(!fp) break;
int tmp_[3];
fscanf(fp, "%d %d %u", &(tmp_[0]), &(tmp_[1]), &(tmp_[2]));
edgelist->m = tmp_[0];
edgelist->n = tmp_[1];
edgelist->nnz += tmp_[2];
fclose(fp);
}
std::cout << "Got: " << edgelist->nnz << " edges\n" << std::endl;
edgelist->edges = reinterpret_cast<edge_t<T>*>(
_mm_malloc((uint64_t)edgelist->nnz * (uint64_t)sizeof(edge_t<T>), 64));
int nnzcnt = 0;
for(int i = global_myrank ; ; i += global_nrank)
{
std::stringstream fname_ss;
fname_ss << dir << i;
//printf("Opening file: %s\n", fname_ss.str().c_str());
FILE* fp = fopen(fname_ss.str().c_str(), "r");
if(!fp) break;
int tmp_[3];
fscanf(fp, "%d %d %u", &(tmp_[0]), &(tmp_[1]), &(tmp_[2]));
assert(tmp_[0] == edgelist->m);
assert(tmp_[1] == edgelist->n);
for(int j = 0 ; j < tmp_[2] ; j++)
{
if(!fscanf(fp, "%d %d %lf", &(edgelist->edges[nnzcnt].src),
&(edgelist->edges[nnzcnt].dst), &(edgelist->edges[nnzcnt].val)))
{
std::cout << "Bad edge read, i, j, nnzcnt " << i << " , " << j << " , " << nnzcnt << std::endl;
exit(0);
}
if(edgelist->edges[nnzcnt].src <= 0 ||
edgelist->edges[nnzcnt].dst <= 0 ||
edgelist->edges[nnzcnt].src > edgelist->m ||
edgelist->edges[nnzcnt].dst > edgelist->n)
{
std::cout << "Invalid edge, i, j, nnz: " << i << " , " << j << " , " << nnzcnt << std::endl;
exit(0);
}
nnzcnt++;
}
fclose(fp);
}
}
template <typename T>
void randomize_edgelist_square(edgelist_t<T>* edgelist, int nrank) {
unsigned int* mapping = new unsigned int[edgelist->m];
unsigned int* rval = new unsigned int[edgelist->m];
if (global_myrank == 0) {
srand(5);
// #pragma omp parallel for
for (int i = 0; i < edgelist->m; i++) {
mapping[i] = i;
rval[i] = rand() % edgelist->m;
}
for (int i = 0; i < edgelist->m; i++) {
unsigned int tmp = mapping[i];
mapping[i] = mapping[rval[i]];
mapping[rval[i]] = tmp;
}
}
delete[] rval;
MPI_Bcast(mapping, edgelist->m, MPI_INT, 0, MPI_COMM_WORLD);
#pragma omp parallel for
for (int i = 0; i < edgelist->nnz; i++) {
edgelist->edges[i].src = mapping[edgelist->edges[i].src - 1] + 1;
edgelist->edges[i].dst = mapping[edgelist->edges[i].dst - 1] + 1;
}
delete[] mapping;
}
template<typename T>
void remove_empty_columns(edgelist_t<T> * edges, int ** remaining_indices)
{
// Remove empty columns
bool * colexists = new bool[edges->n];
memset(colexists, 0, edges->n * sizeof(bool));
int * new_colids = new int[edges->n+1];
memset(new_colids, 0, (edges->n + 1) * sizeof(int));
int new_ncols = 0;
for(int i = 0 ; i < edges->nnz ; i++)
{
if(!colexists[edges->edges[i].dst-1])
{
new_ncols++;
}
colexists[edges->edges[i].dst-1] = true;
}
std::cout << "New ncols: " << new_ncols << std::endl;
*(remaining_indices) = (int*) _mm_malloc(new_ncols * sizeof(int), 64);
int new_colcnt = 0;
for(int i = 0 ; i < edges->n; i++)
{
new_colids[i+1] = (colexists[i] ? 1 : 0) + new_colids[i];
if(colexists[i])
{
assert(new_colcnt < new_ncols);
(*(remaining_indices))[new_colcnt] = i+1;
new_colcnt++;
}
}
assert(new_colcnt == new_ncols);
#pragma omp parallel for
for(int i = 0 ; i < edges->nnz ; i++)
{
edges->edges[i].dst = new_colids[edges->edges[i].dst-1] + 1;
assert(edges->edges[i].dst - 1 >= 0);
assert(edges->edges[i].dst - 1 < new_ncols);
}
edges->n = new_ncols;
delete [] colexists;
delete [] new_colids;
}
template<typename T>
void filter_edges_by_row(edgelist_t<T> * edges, int start_row, int end_row)
{
int valid_edgecnt = 0;
for(int i = 0 ; i < edges->nnz ; i++)
{
if(edges->edges[i].src-1 < end_row &&
edges->edges[i].src-1 >= start_row)
{
edges->edges[valid_edgecnt] = edges->edges[i];
edges->edges[valid_edgecnt].src -= start_row;
valid_edgecnt++;
}
}
edges->nnz = valid_edgecnt;
edges->m = (end_row-start_row);
std::cout << "New edges->m: " << edges->m << std::endl;
}
#endif // SRC_EDGELIST_H_
|
dnn.c | //------------------------------------------------------------------------------
// LAGraph/Test/DNN/dnn: run all neural networks from http://graphchallenge.org
//------------------------------------------------------------------------------
/*
LAGraph: graph algorithms based on GraphBLAS
Copyright 2019 LAGraph Contributors.
(see Contributors.txt for a full list of Contributors; see
ContributionInstructions.txt for information on how you can Contribute to
this project).
All Rights Reserved.
NO WARRANTY. THIS MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. THE LAGRAPH
CONTRIBUTORS MAKE NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED,
AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR
PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF
THE MATERIAL. THE CONTRIBUTORS DO NOT MAKE ANY WARRANTY OF ANY KIND WITH
RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT.
Released under a BSD license, please see the LICENSE file distributed with
this Software or contact permission@sei.cmu.edu for full terms.
Created, in part, with funding and support from the United States
Government. (see Acknowledgments.txt file).
This program includes and/or can make use of certain third party source
code, object code, documentation and other files ("Third Party Software").
See LICENSE file for more details.
*/
//------------------------------------------------------------------------------
// LAGraph/Test/DNN/dnn: test for LAGraph_dnn. Contributed by Tim Davis,
// Texas A&M University.
// Usage: ./build/dnn nproblems
// nproblems is the # of test problems to solve. If not present, it defaults
// to 12 (run all 12 DNN's). The problems are solved in order from small to
// big. The Makefile just runs the first and smallest problem.
// NOTE: this test currently uses many GxB_* extensions in
// SuiteSparse:GraphBLAS. It optionally uses OpenMP.
#include <LAGraph.h>
#define LAGRAPH_FREE_ALL ;
int main (int argc, char **argv)
{
//--------------------------------------------------------------------------
// start LAGraph and GraphBLAS
//--------------------------------------------------------------------------
GrB_Info info ;
LAGRAPH_OK (LAGraph_init ( )) ;
//--------------------------------------------------------------------------
// problem size definitions
//--------------------------------------------------------------------------
// The 12 problems and their sizes are hard-coded below.
// It would be better to define these from the input files, but the problem
// data files are not formatted in a way that makes this easy to do. A
// Matrix Market file format would be better (which can specify the type
// and size of each matrix), with the additional of a problem specification
// file that defines each of the 12 problems to solve.
// Each problem is defined by a set of files in the DNN_DATA directory,
// which can be obtained from http://graphchallenge.org . The simplest way
// to redefine the location of the data files is to make ./dnn_data a
// symbolic link, and leave DNN_DATA unchanged. The .gitignore file will
// prevent dnn_data from syncing to github, so you could also simply change
// ./dnn_data to a true directory and place all files there. Or, change
// the DNN_DATA macro to point to your data files.
#define DNN_DATA "./dnn_data"
// Each of the 12 problems is defined by the # of neurons at each layer, N
// = (1024, 4096, 16384, 65536), and the # of layers, L = (120, 480, or
// 1920). Each problem has the same number of features (F = 60000). The
// input files for a given problem (N,L) are as follows:
// Input feature vectors: an F-by-N sparse matrix
// ./dnn_data/MNIST/sparse-images-(N).tsv
// Neural network layers, for i = 1 to L, each an N-by-N sparse matrix:
// ./dnn_data/DNN/neuron(N)/n(N)-l(i).tsv
// True categories, a list of integers, one per line:
// ./dnn_data/DNN/neuron(N)-l(L)-categories.tsv
// The Bias vectors are defined with the single scalar, neuralNetBias[ ],
// with one scalar for each value of N. This scalar is used to construct
// the diagonal Bias matrices for each layer. All the layers share the
// same matrix, but they are treated as different matrices here. In a more
// general problem, the Bias matrices would differ for each layer and
// perhaps for each neuron. As a result, this test is not permitted to
// exploit the fact that all neurons are biased the same way.
// Note that for a given number of neurons, N, each of the 3 problems for
// different layers shares the same weight matrices for the first layers.
// That is, the first 120 layers of the (1024,480) problem are the same as
// the 120 layers of the (1024,120) problem. This is not exploited in
// LAGraph_dnn, but it is exploited here, simply to reduce the time to load
// the problems.
int len = 1024 ;
char filename [len] ;
#define NMAXLAYERS 3
int maxLayers [NMAXLAYERS] = { 120, 480, 1920 } ;
// #define NMAXNEURONS 1
// int Nneurons [NMAXNEURONS] = { 65536 } ;
// double neuralNetBias [NMAXNEURONS] = { -0.45 } ;
#define NMAXNEURONS 4
int Nneurons [NMAXNEURONS] = { 1024, 4096, 16384, 65536 } ;
double neuralNetBias [NMAXNEURONS] = { -0.3, -0.35, -0.4, -0.45 } ;
int nfeatures = 60000 ;
GrB_Matrix Y0 = NULL, Y = NULL, W [65536], Bias [65536] ;
GrB_Vector TrueCategories = NULL, Categories = NULL, C = NULL ;
for (int layer = 0 ; layer < 65536 ; layer++)
{
W [layer] = NULL ;
Bias [layer] = NULL ;
}
#undef LAGRAPH_FREE_ALL
#define LAGRAPH_FREE_ALL \
{ \
GrB_free (&TrueCategories) ; \
GrB_free (&Categories) ; \
GrB_free (&C) ; \
GrB_free (&Y) ; \
GrB_free (&Y0) ; \
for (int layer = 0 ; layer < 65536 ; layer++) \
{ \
GrB_free (& (W [layer])) ; \
GrB_free (& (Bias [layer])) ; \
} \
}
// select the type. GrB_FP32 is faster and passes all the tests.
// GrB_Type type = GrB_FP64 ;
GrB_Type type = GrB_FP32 ;
printf ("type: ") ;
if (type == GrB_FP64) printf ("double\n") ; else printf ("float\n") ;
// get the max # of threads that can be used
int nthreads_max = LAGraph_get_nthreads ( ) ;
printf ("max # of nthreads: %d\n", nthreads_max) ;
#define NNTHREADS 12
int nthreads_list [NNTHREADS] =
{ 1, 2, 4, 8, 16, 20, 32, 40, 64, 128, 160, 256 } ;
// #define NNTHREADS 1
// int nthreads_list [NNTHREADS] = { 40 } ;
// determine the # of problems to solve
int nproblems = NMAXNEURONS * NMAXLAYERS ;
if (argc > 1)
{
sscanf (argv [1], "%d", &nproblems) ;
}
printf ("# of problems to solve: %d\n", nproblems) ;
int problem = 0 ;
//--------------------------------------------------------------------------
// run all problems
//--------------------------------------------------------------------------
for (int kn = 0 ; kn < NMAXNEURONS ; kn++)
{
//----------------------------------------------------------------------
// check if this problem is to be solved
//----------------------------------------------------------------------
if (problem > nproblems) continue ;
//----------------------------------------------------------------------
// get the number of nneurons and neural bias
//----------------------------------------------------------------------
double tic [2] ;
LAGraph_tic (tic) ;
int nneurons = Nneurons [kn] ;
double b = neuralNetBias [kn] ;
printf ("\n# neurons: %d bias: %g\n", nneurons, b) ;
//----------------------------------------------------------------------
// read in the initial feature vectors
//----------------------------------------------------------------------
sprintf (filename, "%s/MNIST/sparse-images-%d.tsv", DNN_DATA, nneurons);
FILE *f = fopen (filename, "r") ;
if (!f) { printf ("cannot open %s\n", filename) ; abort ( ) ; }
LAGRAPH_OK (LAGraph_tsvread (&Y0, f, type, nfeatures, nneurons)) ;
fclose (f) ;
double t = LAGraph_toc (tic) ;
printf ("# features: %" PRIu64 " read time: %g sec\n", nfeatures, t) ;
GrB_Index nvals ;
LAGRAPH_OK (GrB_Matrix_nvals (&nvals, Y0)) ;
printf ("# entries in Y0: %g million\n", (double) nvals / 1e6) ;
fflush (stdout) ;
//----------------------------------------------------------------------
// run each problem size (for all #'s of layers)
//----------------------------------------------------------------------
for (int kl = 0 ; kl < NMAXLAYERS ; kl++)
{
//------------------------------------------------------------------
// check if this problem is to be solved
//------------------------------------------------------------------
problem++ ;
if (problem > nproblems) continue ;
//------------------------------------------------------------------
// get the number of layers in this neural net
//------------------------------------------------------------------
int nlayers = maxLayers [kl] ;
printf ("\n--------------------------------------"
"neurons per layer: %d layers: %d\n", nneurons, nlayers) ;
//------------------------------------------------------------------
// read in the layers in parallel
//------------------------------------------------------------------
LAGraph_tic (tic) ;
int first_layer = (kl == 0) ? 0 : maxLayers [kl-1] ;
bool ok = true ;
// assume the I/O system can handle 2-way parallelism
#pragma omp parallel for schedule(dynamic,1) reduction(&&:ok) \
num_threads (2)
for (int layer = first_layer ; layer < nlayers ; layer++)
{
// read the neuron layer: W [layer]
char my_filename [1024] ;
sprintf (my_filename, "%s/DNN/neuron%d/n%d-l%d.tsv", DNN_DATA,
nneurons, nneurons, layer+1) ;
FILE *my_file = fopen (my_filename, "r") ;
bool my_ok = true ;
if (!my_file)
{
printf ("cannot open %s\n", my_filename) ;
my_ok = false ;
continue ;
}
GrB_Info my_info = LAGraph_tsvread (&(W [layer]), my_file,
type, nneurons, nneurons) ;
fclose (my_file) ;
my_ok = my_ok && (my_info == GrB_SUCCESS) ;
// construct the bias matrix: Bias [layer]. Note that all Bias
// matrices are the same for all layers, and all diagonal
// entries are also the same, but this test must not exploit
// that fact.
my_info = GrB_Matrix_new (&(Bias [layer]), type,
nneurons, nneurons) ;
my_ok = my_ok && (my_info == GrB_SUCCESS) ;
for (int i = 0 ; i < nneurons ; i++)
{
my_info = GrB_Matrix_setElement (Bias [layer], b, i, i) ;
my_ok = my_ok && (my_info == GrB_SUCCESS) ;
}
GrB_Index ignore ;
my_info = GrB_Matrix_nvals (&ignore, Bias [layer]) ;
my_ok = my_ok && (my_info == GrB_SUCCESS) ;
ok = ok && my_ok ;
}
if (!ok)
{
printf ("neural read failure\n") ;
abort ( ) ;
}
t = LAGraph_toc (tic) ;
printf ("read net time %g sec\n", t) ;
double nedges = 0 ;
for (int layer = 0 ; layer < nlayers ; layer++)
{
GrB_Index nvals ;
LAGRAPH_OK (GrB_Matrix_nvals (&nvals, W [layer])) ;
nedges += nvals ;
}
printf ("# edges in all layers: %g million\n\n",
(double) nedges / 1e6) ;
fflush (stdout) ;
// read TrueCategories as a boolean nfeatures-by-1 vector
LAGRAPH_OK (GrB_Vector_new (&TrueCategories, GrB_BOOL,
nfeatures)) ;
sprintf (filename, "%s/DNN/neuron%d-l%d-categories.tsv", DNN_DATA,
nneurons, nlayers) ;
f = fopen (filename, "r") ;
bool check_result = (f != NULL) ;
if (check_result)
{
while (1)
{
int category ;
if (fscanf (f, "%d\n", &category) == EOF) break ;
LAGRAPH_OK (GrB_Vector_setElement (TrueCategories,
(bool) true, category-1)) ;
}
fclose (f) ;
}
else
{
printf ("cannot open %s\n", filename) ;
}
//------------------------------------------------------------------
// solve the problem with 1, 2, 4, ..., nthreads_max threads
//------------------------------------------------------------------
double t1 = 0, tcheck = 0 ;
GrB_Index final_ynvals ;
for (int kth = 0 ; kth < NNTHREADS ; kth++)
{
//--------------------------------------------------------------
// set the # of threads to use
//--------------------------------------------------------------
int nthreads = nthreads_list [kth] ;
if (nthreads > nthreads_max) break ;
LAGraph_set_nthreads (nthreads) ;
printf ("nthreads %2d: ", nthreads) ;
fflush (stdout) ;
//--------------------------------------------------------------
// solve the problem
//--------------------------------------------------------------
LAGraph_tic (tic) ;
LAGRAPH_OK (LAGraph_dnn (&Y, W, Bias, nlayers, Y0)) ;
t = LAGraph_toc (tic) ;
printf ("soln time %12.2f sec", t) ;
if (nthreads == 1)
{
t1 = t ;
printf (" ") ;
}
else
{
printf (" speedup %8.2f", t1/t) ;
}
double rate = ((double) nfeatures) * ((double) nedges) / t ;
printf (" rate %10.4f (1e9 edges/sec) ", rate / 1e9) ;
//--------------------------------------------------------------
// check the result
//--------------------------------------------------------------
// this is so fast, it's hardly worth timing ...
LAGraph_tic (tic) ;
LAGRAPH_OK (GrB_Matrix_nvals (&final_ynvals, Y)) ;
// C = sum (Y)
LAGRAPH_OK (GrB_Vector_new (&C, type, nfeatures)) ;
LAGRAPH_OK (GrB_reduce (C, NULL, NULL, GrB_PLUS_FP64, Y, NULL));
// Categories = pattern of C
LAGRAPH_OK (GrB_Vector_new (&Categories, GrB_BOOL, nfeatures)) ;
LAGRAPH_OK (GrB_apply (Categories, NULL, NULL, GxB_ONE_BOOL,
C, NULL)) ;
// write out Categories, as a 1-based file
/*
sprintf (filename, "my_neuron%d-l%d-categories_threads%d.tsv",
nneurons, nlayers, nthreads) ;
FILE *ff = fopen (filename, "w") ;
for (int i = 0 ; i < nfeatures ; i++)
{
bool c = false ;
LAGRAPH_OK (GrB_Vector_extractElement (&c, Categories, i)) ;
if (c) fprintf (ff, "%d\n", i + 1) ;
}
fclose (ff) ;
*/
if (check_result)
{
// check if Categories and TrueCategories are the same
bool isequal ;
LAGRAPH_OK (LAGraph_Vector_isequal (&isequal,
TrueCategories, Categories, NULL)) ;
if (!isequal)
{
// GxB_print (TrueCategories, 3) ;
// GxB_print (Categories, 3) ;
printf ("test failure!\n") ;
// LAGRAPH_FREE_ALL ;
// abort ( ) ;
}
}
printf ("\n") ;
GrB_free (&Categories) ;
GrB_free (&C) ;
GrB_free (&Y) ;
tcheck = LAGraph_toc (tic) ;
}
printf ("\n# entries in final Y: %g million\n",
(double) final_ynvals / 1e6) ;
printf ("check time: %g sec\n", tcheck) ;
LAGraph_set_nthreads (nthreads_max) ;
}
//----------------------------------------------------------------------
// free the problem
//----------------------------------------------------------------------
LAGRAPH_FREE_ALL ;
}
//--------------------------------------------------------------------------
// finalize LAGraph and GraphBLAS
//--------------------------------------------------------------------------
LAGRAPH_OK (LAGraph_finalize ( )) ;
printf ("all tests passed\n") ;
return (GrB_SUCCESS) ;
}
|
private_mapping.c | // RUN: %libomptarget-compile-run-and-check-aarch64-unknown-linux-gnu
// RUN: %libomptarget-compile-run-and-check-powerpc64-ibm-linux-gnu
// RUN: %libomptarget-compile-run-and-check-powerpc64le-ibm-linux-gnu
// RUN: %libomptarget-compile-run-and-check-x86_64-pc-linux-gnu
// RUN: %libomptarget-compile-run-and-check-nvptx64-nvidia-cuda
#include <assert.h>
#include <stdio.h>
int main() {
int data1[3] = {1}, data2[3] = {2}, data3[3] = {3};
int sum[16] = {0};
#pragma omp target teams distribute parallel for map(tofrom \
: sum) \
firstprivate(data1, data2, data3)
for (int i = 0; i < 16; ++i) {
for (int j = 0; j < 3; ++j) {
sum[i] += data1[j];
sum[i] += data2[j];
sum[i] += data3[j];
}
}
for (int i = 0; i < 16; ++i) {
assert(sum[i] == 6);
}
printf("PASS\n");
return 0;
}
// CHECK: PASS
|
ast-dump-openmp-task.c | // RUN: %clang_cc1 -triple x86_64-unknown-unknown -fopenmp -ast-dump %s | FileCheck --match-full-lines -implicit-check-not=openmp_structured_block %s
void test() {
#pragma omp task
;
}
// CHECK: TranslationUnitDecl {{.*}} <<invalid sloc>> <invalid sloc>
// CHECK: `-FunctionDecl {{.*}} <{{.*}}ast-dump-openmp-task.c:3:1, line:6:1> line:3:6 test 'void ()'
// CHECK-NEXT: `-CompoundStmt {{.*}} <col:13, line:6:1>
// CHECK-NEXT: `-OMPTaskDirective {{.*}} <line:4:1, col:17>
// CHECK-NEXT: `-CapturedStmt {{.*}} <line:5:3>
// CHECK-NEXT: `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: |-NullStmt {{.*}} <col:3>
// CHECK-NEXT: |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: `-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-task.c:4:1) *const restrict'
|
GB_binop__pair_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 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__pair_uint32)
// A.*B function (eWiseMult): GB ((none))
// A.*B function (eWiseMult): GB ((none))
// A.*B function (eWiseMult): GB ((none))
// A.*B function (eWiseMult): GB ((none))
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__pair_uint32)
// C+=b function (dense accum): GB (_Cdense_accumb__pair_uint32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__pair_uint32)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB ((none))
// C=A'+scalar GB ((none))
// C type: uint32_t
// A type: uint32_t
// A pattern? 1
// B type: uint32_t
// B pattern? 1
// BinaryOp: cij = 1
#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,A_iso) \
;
// true if values of A are not used
#define GB_A_IS_PATTERN \
1 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
;
// true if values of B are not used
#define GB_B_IS_PATTERN \
1 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint32_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 = 1 ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_PAIR || GxB_NO_UINT32 || GxB_NO_PAIR_UINT32)
//------------------------------------------------------------------------------
// 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__pair_uint32)
(
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__pair_uint32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__pair_uint32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint32_t
uint32_t bwork = (*((uint32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *restrict Cx = (uint32_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *restrict Cx = (uint32_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__pair_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 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) ;
uint32_t alpha_scalar ;
uint32_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((uint32_t *) alpha_scalar_in)) ;
beta_scalar = (*((uint32_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
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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
}
#endif
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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
}
#endif
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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
}
#endif
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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
}
#endif
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
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 < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
; ;
Cx [p] = 1 ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
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 ;
; ;
Cx [p] = 1 ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = 1 ; \
}
GrB_Info GB ((none))
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
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
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = 1 ; \
}
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t y = (*((const uint32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
GB_unop__identity_uint8_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_uint8_fc64)
// op(A') function: GB (_unop_tran__identity_uint8_fc64)
// C type: uint8_t
// A type: GxB_FC64_t
// cast: uint8_t cij = GB_cast_to_uint8_t (creal (aij))
// unaryop: cij = aij
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
uint8_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 = x ;
// casting
#define GB_CAST(z, aij) \
uint8_t z = GB_cast_to_uint8_t (creal (aij)) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint8_t z = GB_cast_to_uint8_t (creal (aij)) ; \
Cx [pC] = z ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_UINT8 || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_uint8_fc64)
(
uint8_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 ;
// TODO: if OP is ONE and uniform-valued matrices are exploited, then
// do this in O(1) time
if (Ab == NULL)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (GxB_FC64_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC64_t aij = Ax [p] ;
uint8_t z = GB_cast_to_uint8_t (creal (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 ;
GxB_FC64_t aij = Ax [p] ;
uint8_t z = GB_cast_to_uint8_t (creal (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_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
|
GB_bitmap_assign_M_sub_template.c | //------------------------------------------------------------------------------
// GB_bitmap_assign_M_sub_template: traverse M for GB_SUBASSIGN
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// M is sparse or hypersparse, not bitmap or full. C(I,J)<M>= ... is being
// computed (or !M), and all entries in M are traversed. For a given entry
// M(iM,jM) in the mask, at location pM. The entry C(iC,jC) is at location pC,
// where iC = I [iM] and jC = J [jM]. The matrix C is bitmap or full.
// C is bitmap/full. M is sparse/hyper, and can be jumbled.
{
const int64_t *restrict kfirst_Mslice = M_ek_slicing ;
const int64_t *restrict klast_Mslice = M_ek_slicing + M_ntasks ;
const int64_t *restrict pstart_Mslice = M_ek_slicing + M_ntasks * 2 ;
int tid ;
#pragma omp parallel for num_threads(M_nthreads) schedule(dynamic,1) \
reduction(+:cnvals)
for (tid = 0 ; tid < M_ntasks ; tid++)
{
int64_t kfirst = kfirst_Mslice [tid] ;
int64_t klast = klast_Mslice [tid] ;
int64_t task_cnvals = 0 ;
//----------------------------------------------------------------------
// traverse over M (:,kfirst:klast)
//----------------------------------------------------------------------
for (int64_t k = kfirst ; k <= klast ; k++)
{
//------------------------------------------------------------------
// find the part of M(:,k) for this task
//------------------------------------------------------------------
int64_t jM = GBH (Mh, k) ;
int64_t pM_start, pM_end ;
GB_get_pA (&pM_start, &pM_end, tid, k, kfirst,
klast, pstart_Mslice, Mp, mvlen) ;
//------------------------------------------------------------------
// traverse over M(:,jM), the kth vector of M
//------------------------------------------------------------------
// for subassign, M has same size as C(I,J) and A.
int64_t jC = GB_ijlist (J, jM, Jkind, Jcolon) ;
int64_t pC0 = jC * cvlen ;
for (int64_t pM = pM_start ; pM < pM_end ; pM++)
{
bool mij = GB_mcast (Mx, pM, msize) ;
if (mij)
{
int64_t iM = Mi [pM] ;
int64_t iC = GB_ijlist (I, iM, Ikind, Icolon) ;
int64_t pC = iC + pC0 ;
GB_MASK_WORK (pC) ; // operate on Cx [pC]
}
}
}
cnvals += task_cnvals ;
}
}
|
omp_smithW-v2-ifClause.c | /*********************************************************************************
* Smith–Waterman algorithm
* Purpose: Local alignment of nucleotide or protein sequences
* Authors: Daniel Holanda, Hanoch Griner, Taynara Pinheiro
*
* Compilation: gcc omp_smithW.c -o omp_smithW -fopenmp -DDEBUG // debugging mode
* gcc omp_smithW.c -O3 -o omp_smithW -fopenmp // production run
* Execution: ./omp_smithW <number_of_col> <number_of_rows>
*
* Updated by C. Liao, Jan 2nd, 2019
*********************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <omp.h>
#include <time.h>
#include <assert.h>
#include <stdbool.h> // C99 does not support the boolean data type
#include "parameters.h"
/*--------------------------------------------------------------------
* Text Tweaks
*/
#define RESET "\033[0m"
#define BOLDRED "\033[1m\033[31m" /* Bold Red */
/* End of text tweaks */
/*--------------------------------------------------------------------
* Constants
*/
#define PATH -1
#define NONE 0
#define UP 1
#define LEFT 2
#define DIAGONAL 3
/* End of constants */
/*--------------------------------------------------------------------
* Helpers
*/
#define min(x, y) (((x) < (y)) ? (x) : (y))
#define max(a,b) ((a) > (b) ? a : b)
// #define DEBUG
/* End of Helpers */
/*--------------------------------------------------------------------
* Functions Prototypes
*/
void similarityScore(long long int i, long long int j, int* H, int* P, long long int* maxPos);
int matchMissmatchScore(long long int i, long long int j);
void backtrack(int* P, long long int maxPos);
void printMatrix(int* matrix);
void printPredecessorMatrix(int* matrix);
void generate(void);
long long int nElement(long long int i);
void calcFirstDiagElement(long long int i, long long int *si, long long int *sj);
/* End of prototypes */
/*--------------------------------------------------------------------
* Global Variables
*/
bool useBuiltInData=true;
//Defines size of strings to be compared
long long int m = 8 ; //Columns - Size of string a
long long int n = 9; //Lines - Size of string b
// the generated scoring matrix's size is m++ and n++ later to have the first row/column as 0s.
//Defines scores
int matchScore = 3;
int missmatchScore = -3;
int gapScore = -2;
//Strings over the Alphabet Sigma
char *a, *b;
/* End of global variables */
/*--------------------------------------------------------------------
* Function: main
*/
int main(int argc, char* argv[]) {
// thread_count is no longer used
int thread_count;
if (argc==3)
{
m = strtoll(argv[1], NULL, 10);
n = strtoll(argv[2], NULL, 10);
useBuiltInData = false;
}
//#ifdef DEBUG
if (useBuiltInData)
printf ("Using built-in data for testing ..\n");
printf("Problem size: Matrix[%lld][%lld], FACTOR=%d CUTOFF=%d\n", n, m, FACTOR, CUTOFF);
//#endif
//Allocates a and b
a = (char*) malloc(m * sizeof(char));
b = (char*) malloc(n * sizeof(char));
//Because now we have zeros
m++;
n++;
//Allocates similarity matrix H
int *H;
H = (int *) calloc(m * n, sizeof(int));
//Allocates predecessor matrix P
int *P;
P = (int *)calloc(m * n, sizeof(int));
if (useBuiltInData)
{
//Uncomment this to test the sequence available at
//http://vlab.amrita.edu/?sub=3&brch=274&sim=1433&cnt=1
// OBS: m=11 n=7
// a[0] = 'C';
// a[1] = 'G';
// a[2] = 'T';
// a[3] = 'G';
// a[4] = 'A';
// a[5] = 'A';
// a[6] = 'T';
// a[7] = 'T';
// a[8] = 'C';
// a[9] = 'A';
// a[10] = 'T';
// b[0] = 'G';
// b[1] = 'A';
// b[2] = 'C';
// b[3] = 'T';
// b[4] = 'T';
// b[5] = 'A';
// b[6] = 'C';
// https://en.wikipedia.org/wiki/Smith%E2%80%93Waterman_algorithm#Example
// Using the wiki example to verify the results
b[0] = 'G';
b[1] = 'G';
b[2] = 'T';
b[3] = 'T';
b[4] = 'G';
b[5] = 'A';
b[6] = 'C';
b[7] = 'T';
b[8] = 'A';
a[0] = 'T';
a[1] = 'G';
a[2] = 'T';
a[3] = 'T';
a[4] = 'A';
a[5] = 'C';
a[6] = 'G';
a[7] = 'G';
}
else
{
//Gen random arrays a and b
generate();
}
//Start position for backtrack
long long int maxPos = 0;
//Calculates the similarity matrix
long long int i, j;
// The way to generate all wavefront is to go through the top edge elements
// starting from the left top of the matrix, go to the bottom top -> down, then left->right
// total top edge element count = dim1_size + dim2_size -1
//Because now we have zeros ((m-1) + (n-1) - 1)
long long int nDiag = m + n - 3;
#ifdef DEBUG
printf("nDiag=%d\n", nDiag);
printf("Number of wavefront lines and their first element positions:\n");
#endif
#pragma omp parallel
{
#pragma omp master
{
thread_count = omp_get_num_threads();
printf ("if-clause() Using %d out of max %d threads...", thread_count, omp_get_max_threads());
}
}
//Gets Initial time
double initialTime = omp_get_wtime();
// #pragma omp parallel default(none) shared(H, P, maxPos, nDiag, j) private(i)
{
for (i = 1; i <= nDiag; ++i) // start from 1 since 0 is the boundary padding
{
long long int nEle, si, sj;
nEle = nElement(i);
calcFirstDiagElement(i, &si, &sj);
#pragma omp parallel for private(j) shared (nEle, si, sj, H, P, maxPos) if (nEle>=CUTOFF)
for (j = 0; j < nEle; ++j)
{ // going upwards : anti-diagnol direction
long long int ai = si - j ; // going up vertically
long long int aj = sj + j; // going right in horizontal
similarityScore(ai, aj, H, P, &maxPos); // a critical section is used inside
}
} // for end nDiag
} // end omp parallel
double finalTime = omp_get_wtime();
printf("\nElapsed time for scoring matrix computation: %f\n", finalTime - initialTime);
initialTime = omp_get_wtime();
backtrack(P, maxPos);
finalTime = omp_get_wtime();
//Gets backtrack time
finalTime = omp_get_wtime();
printf("Elapsed time for backtracking: %f\n", finalTime - initialTime);
if (useBuiltInData)
{
printf ("Verifying results using the builtinIn data: %s\n", (H[n*m-1]==7)?"true":"false");
assert (H[n*m-1]==7);
}
#ifdef DEBUG
printf("\nSimilarity Matrix:\n");
printMatrix(H);
printf("\nPredecessor Matrix:\n");
printPredecessorMatrix(P);
#endif
//Frees similarity matrixes
free(H);
free(P);
//Frees input arrays
free(a);
free(b);
return 0;
} /* End of main */
/*--------------------------------------------------------------------
* Function: nElement
* Purpose: Calculate the number of i-diagonal's elements
* i value range 1 to nDiag. we inclulde the upper bound value. 0 is for the padded wavefront, which is ignored.
*/
long long int nElement(long long int i) {
if (i < m && i < n) { // smaller than both directions
//Number of elements in the diagonal is increasing
return i;
}
else if (i < max(m, n)) { // smaller than only one direction
//Number of elements in the diagonal is stable
long int min = min(m, n); // the longer direction has the edge elements, the number is the smaller direction's size
return min - 1;
}
else {
//Number of elements in the diagonal is decreasing
long int min = min(m, n);
return 2 * min - i + llabs(m - n) - 2;
}
}
/*--------------------------------------------------------------------
* Function: calcElement: expect valid i value is from 1 to nDiag. since the first one is 0 padding
* Purpose: Calculate the position of (si, sj)-element
* n rows, m columns: we sweep the matrix on the left edge then bottom edge to get the wavefront
*/
void calcFirstDiagElement(long long int i, long long int *si, long long int *sj) {
// Calculate the first element of diagonal
if (i < n) { // smaller than row count
*si = i;
*sj = 1; // start from the j==1 since j==0 is the padding
} else { // now we sweep horizontally at the bottom of the matrix
*si = n - 1; // i is fixed
*sj = i - n + 2; // j position is the nDiag (id -n) +1 +1 // first +1
}
}
/*
// understanding the calculation by an example
n =6 // row
m =2 // col
padded scoring matrix
n=7
m=3
0 1 2
-------
0 x x x
1 x x x
2 x x x
3 x x x
4 x x x
5 x x x
6 x x x
We should peel off top row and left column since they are the padding
the remaining 6x2 sub matrix is what is interesting for us
Now find the number of wavefront lines and their first element's position in the scoring matrix
total diagnol frontwave = (n-1) + (m-1) -1 // submatrix row+column -1
We use the left most element in each wavefront line as its first element.
Then we have the first elements like
(1,1),
(2,1)
(3,1)
..
(6,1) (6,2)
*/
/*--------------------------------------------------------------------
* Function: SimilarityScore
* Purpose: Calculate value of scoring matrix element H(i,j) : the maximum Similarity-Score H(i,j)
* int *P; the predecessor array,storing which of the three elements is picked with max value
*/
void similarityScore(long long int i, long long int j, int* H, int* P, long long int* maxPos) {
int up, left, diag;
//Stores index of element
long long int index = m * i + j;
//Get element above
up = H[index - m] + gapScore;
//Get element on the left
left = H[index - 1] + gapScore;
//Get element on the diagonal
diag = H[index - m - 1] + matchMissmatchScore(i, j);
//Calculates the maximum
int max = NONE;
int pred = NONE;
/* === Matrix ===
* a[0] ... a[n]
* b[0]
* ...
* b[n]
*
* generate 'a' from 'b', if '←' insert e '↑' remove
* a=GAATTCA
* b=GACTT-A
*
* generate 'b' from 'a', if '←' insert e '↑' remove
* b=GACTT-A
* a=GAATTCA
*/
if (diag > max) { //same letter ↖
max = diag;
pred = DIAGONAL;
}
if (up > max) { //remove letter ↑
max = up;
pred = UP;
}
if (left > max) { //insert letter ←
max = left;
pred = LEFT;
}
//Inserts the value in the similarity and predecessor matrixes
H[index] = max;
P[index] = pred;
//Updates maximum score to be used as seed on backtrack
if (max > H[*maxPos]) {
#pragma omp critical
*maxPos = index;
}
} /* End of similarityScore */
/*--------------------------------------------------------------------
* Function: matchMissmatchScore
* Purpose: Similarity function on the alphabet for match/missmatch
*/
int matchMissmatchScore(long long int i, long long int j) {
if (a[j - 1] == b[i - 1])
return matchScore;
else
return missmatchScore;
} /* End of matchMissmatchScore */
/*--------------------------------------------------------------------
* Function: backtrack
* Purpose: Modify matrix to print, path change from value to PATH
*/
void backtrack(int* P, long long int maxPos) {
//hold maxPos value
long long int predPos;
//backtrack from maxPos to startPos = 0
do {
if (P[maxPos] == DIAGONAL)
predPos = maxPos - m - 1;
else if (P[maxPos] == UP)
predPos = maxPos - m;
else if (P[maxPos] == LEFT)
predPos = maxPos - 1;
P[maxPos] *= PATH;
maxPos = predPos;
} while (P[maxPos] != NONE);
} /* End of backtrack */
/*--------------------------------------------------------------------
* Function: printMatrix
* Purpose: Print Matrix
*/
void printMatrix(int* matrix) {
long long int i, j;
printf("-\t-\t");
for (j = 0; j < m-1; j++) {
printf("%c\t", a[j]);
}
printf("\n-\t");
for (i = 0; i < n; i++) { //Lines
for (j = 0; j < m; j++) {
if (j==0 && i>0) printf("%c\t", b[i-1]);
printf("%d\t", matrix[m * i + j]);
}
printf("\n");
}
} /* End of printMatrix */
/*--------------------------------------------------------------------
* Function: printPredecessorMatrix
* Purpose: Print predecessor matrix
*/
void printPredecessorMatrix(int* matrix) {
long long int i, j, index;
printf(" ");
for (j = 0; j < m-1; j++) {
printf("%c ", a[j]);
}
printf("\n ");
for (i = 0; i < n; i++) { //Lines
for (j = 0; j < m; j++) {
if (j==0 && i>0) printf("%c ", b[i-1]);
index = m * i + j;
if (matrix[index] < 0) {
printf(BOLDRED);
if (matrix[index] == -UP)
printf("↑ ");
else if (matrix[index] == -LEFT)
printf("← ");
else if (matrix[index] == -DIAGONAL)
printf("↖ ");
else
printf("- ");
printf(RESET);
} else {
if (matrix[index] == UP)
printf("↑ ");
else if (matrix[index] == LEFT)
printf("← ");
else if (matrix[index] == DIAGONAL)
printf("↖ ");
else
printf("- ");
}
}
printf("\n");
}
} /* End of printPredecessorMatrix */
/*--------------------------------------------------------------------
* Function: generate
* Purpose: Generate arrays a and b
*/
void generate() {
//Random seed
srand(time(NULL));
//Generates the values of a
long long int i;
for (i = 0; i < m; i++) {
int aux = rand() % 4;
if (aux == 0)
a[i] = 'A';
else if (aux == 2)
a[i] = 'C';
else if (aux == 3)
a[i] = 'G';
else
a[i] = 'T';
}
//Generates the values of b
for (i = 0; i < n; i++) {
int aux = rand() % 4;
if (aux == 0)
b[i] = 'A';
else if (aux == 2)
b[i] = 'C';
else if (aux == 3)
b[i] = 'G';
else
b[i] = 'T';
}
} /* End of generate */
/*--------------------------------------------------------------------
* External References:
* http://vlab.amrita.edu/?sub=3&brch=274&sim=1433&cnt=1
* http://pt.slideshare.net/avrilcoghlan/the-smith-waterman-algorithm
* http://baba.sourceforge.net/
*/
|
GB_binop__isne_int16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_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__isne_int16)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__isne_int16)
// A.*B function (eWiseMult): GB (_AemultB_03__isne_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__isne_int16)
// A*D function (colscale): GB (_AxD__isne_int16)
// D*A function (rowscale): GB (_DxB__isne_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__isne_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__isne_int16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__isne_int16)
// C=scalar+B GB (_bind1st__isne_int16)
// C=scalar+B' GB (_bind1st_tran__isne_int16)
// C=A+scalar GB (_bind2nd__isne_int16)
// C=A'+scalar GB (_bind2nd_tran__isne_int16)
// C type: int16_t
// A type: int16_t
// B,b type: int16_t
// BinaryOp: cij = (aij != bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int16_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (x != y) ;
// 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_ISNE || GxB_NO_INT16 || GxB_NO_ISNE_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__isne_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__isne_int16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__isne_int16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__isne_int16)
(
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
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__isne_int16)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__isne_int16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *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__isne_int16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__isne_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__isne_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__isne_int16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__isne_int16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *Cx = (int16_t *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = Bx [p] ;
Cx [p] = (x != bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__isne_int16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int16_t *Cx = (int16_t *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = Ax [p] ;
Cx [p] = (aij != y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (x != aij) ; \
}
GrB_Info GB (_bind1st_tran__isne_int16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (aij != y) ; \
}
GrB_Info GB (_bind2nd_tran__isne_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
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 1999-2019 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/accelerate-private.h"
#include "MagickCore/annotate.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite.h"
#include "MagickCore/decorate.h"
#include "MagickCore/distort.h"
#include "MagickCore/draw.h"
#include "MagickCore/effect.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/fx.h"
#include "MagickCore/fx-private.h"
#include "MagickCore/gem.h"
#include "MagickCore/gem-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/layer.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.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/property.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/splay-tree.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/threshold.h"
#include "MagickCore/transform.h"
#include "MagickCore/transform-private.h"
#include "MagickCore/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 *images,const char *expression,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o expression: the expression.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate FxInfo *AcquireFxInfo(const Image *images,const char *expression,
ExceptionInfo *exception)
{
char
fx_op[2];
const Image
*next;
FxInfo
*fx_info;
register ssize_t
i;
fx_info=(FxInfo *) AcquireCriticalMemory(sizeof(*fx_info));
(void) memset(fx_info,0,sizeof(*fx_info));
fx_info->exception=AcquireExceptionInfo();
fx_info->images=images;
fx_info->colors=NewSplayTree(CompareSplayTreeString,RelinquishMagickMemory,
RelinquishMagickMemory);
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,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,
% const double attenuate,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 attenuate: attenuate the random distribution.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AddNoiseImage(const Image *image,const NoiseType noise_type,
const double attenuate,ExceptionInfo *exception)
{
#define AddNoiseImageTag "AddNoise/Image"
CacheView
*image_view,
*noise_view;
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,noise_type,attenuate,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,exception) == MagickFalse)
{
noise_image=DestroyImage(noise_image);
return((Image *) NULL);
}
/*
Add noise in each row.
*/
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 Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(noise_view,0,y,noise_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++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait noise_traits=GetPixelChannelTraits(noise_image,channel);
if ((traits == UndefinedPixelTrait) ||
(noise_traits == UndefinedPixelTrait))
continue;
if ((noise_traits & CopyPixelTrait) != 0)
{
SetPixelChannel(noise_image,channel,p[i],q);
continue;
}
SetPixelChannel(noise_image,channel,ClampToQuantum(
GenerateDifferentialNoise(random_info[id],p[i],noise_type,attenuate)),
q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(noise_image);
}
sync=SyncCacheViewAuthenticPixels(noise_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,AddNoiseImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
noise_view=DestroyCacheView(noise_view);
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
noise_image=DestroyImage(noise_image);
return(noise_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B l u e S h i f t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BlueShiftImage() mutes the colors of the image to simulate a scene at
% nighttime in the moonlight.
%
% The format of the BlueShiftImage method is:
%
% Image *BlueShiftImage(const Image *image,const double factor,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o factor: the shift factor.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *BlueShiftImage(const Image *image,const double factor,
ExceptionInfo *exception)
{
#define BlueShiftImageTag "BlueShift/Image"
CacheView
*image_view,
*shift_view;
Image
*shift_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Allocate blue shift image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
shift_image=CloneImage(image,0,0,MagickTrue,exception);
if (shift_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(shift_image,DirectClass,exception) == MagickFalse)
{
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;
PixelInfo
pixel;
Quantum
quantum;
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*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 Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
quantum=GetPixelRed(image,p);
if (GetPixelGreen(image,p) < quantum)
quantum=GetPixelGreen(image,p);
if (GetPixelBlue(image,p) < quantum)
quantum=GetPixelBlue(image,p);
pixel.red=0.5*(GetPixelRed(image,p)+factor*quantum);
pixel.green=0.5*(GetPixelGreen(image,p)+factor*quantum);
pixel.blue=0.5*(GetPixelBlue(image,p)+factor*quantum);
quantum=GetPixelRed(image,p);
if (GetPixelGreen(image,p) > quantum)
quantum=GetPixelGreen(image,p);
if (GetPixelBlue(image,p) > quantum)
quantum=GetPixelBlue(image,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(shift_image,ClampToQuantum(pixel.red),q);
SetPixelGreen(shift_image,ClampToQuantum(pixel.green),q);
SetPixelBlue(shift_image,ClampToQuantum(pixel.blue),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(shift_image);
}
sync=SyncCacheViewAuthenticPixels(shift_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,BlueShiftImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
shift_view=DestroyCacheView(shift_view);
if (status == MagickFalse)
shift_image=DestroyImage(shift_image);
return(shift_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h a r c o a l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CharcoalImage() creates a new image that is a copy of an existing one with
% the edge highlighted. It allocates the memory necessary for the new Image
% structure and returns a pointer to the new image.
%
% The format of the CharcoalImage method is:
%
% Image *CharcoalImage(const Image *image,const double radius,
% const double sigma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CharcoalImage(const Image *image,const double radius,
const double sigma,ExceptionInfo *exception)
{
Image
*charcoal_image,
*edge_image;
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
edge_image=EdgeImage(image,radius,exception);
if (edge_image == (Image *) NULL)
return((Image *) NULL);
charcoal_image=(Image *) NULL;
status=ClampImage(edge_image,exception);
if (status != MagickFalse)
charcoal_image=BlurImage(edge_image,radius,sigma,exception);
edge_image=DestroyImage(edge_image);
if (charcoal_image == (Image *) NULL)
return((Image *) NULL);
status=NormalizeImage(charcoal_image,exception);
if (status != MagickFalse)
status=NegateImage(charcoal_image,MagickFalse,exception);
if (status != MagickFalse)
status=GrayscaleImage(charcoal_image,image->intensity,exception);
if (status == MagickFalse)
charcoal_image=DestroyImage(charcoal_image);
return(charcoal_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorizeImage() blends the fill color with each pixel in the image.
% A percentage blend is specified with opacity. Control the application
% of different color components by specifying a different percentage for
% each component (e.g. 90/100/10 is 90% red, 100% green, and 10% blue).
%
% The format of the ColorizeImage method is:
%
% Image *ColorizeImage(const Image *image,const char *blend,
% const PixelInfo *colorize,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o blend: A character string indicating the level of blending 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 *blend,
const PixelInfo *colorize,ExceptionInfo *exception)
{
#define ColorizeImageTag "Colorize/Image"
#define Colorize(pixel,blend_percentage,colorize) \
(((pixel)*(100.0-(blend_percentage))+(colorize)*(blend_percentage))/100.0)
CacheView
*image_view;
GeometryInfo
geometry_info;
Image
*colorize_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickStatusType
flags;
PixelInfo
blend_percentage;
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,exception) == MagickFalse)
{
colorize_image=DestroyImage(colorize_image);
return((Image *) NULL);
}
if ((IsGrayColorspace(colorize_image->colorspace) != MagickFalse) ||
(IsPixelInfoGray(colorize) != MagickFalse))
(void) SetImageColorspace(colorize_image,sRGBColorspace,exception);
if ((colorize_image->alpha_trait == UndefinedPixelTrait) &&
(colorize->alpha_trait != UndefinedPixelTrait))
(void) SetImageAlpha(colorize_image,OpaqueAlpha,exception);
if (blend == (const char *) NULL)
return(colorize_image);
GetPixelInfo(colorize_image,&blend_percentage);
flags=ParseGeometry(blend,&geometry_info);
blend_percentage.red=geometry_info.rho;
blend_percentage.green=geometry_info.rho;
blend_percentage.blue=geometry_info.rho;
blend_percentage.black=geometry_info.rho;
blend_percentage.alpha=(MagickRealType) TransparentAlpha;
if ((flags & SigmaValue) != 0)
blend_percentage.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
blend_percentage.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
blend_percentage.alpha=geometry_info.psi;
if (blend_percentage.colorspace == CMYKColorspace)
{
if ((flags & PsiValue) != 0)
blend_percentage.black=geometry_info.psi;
if ((flags & ChiValue) != 0)
blend_percentage.alpha=geometry_info.chi;
}
/*
Colorize DirectClass image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(colorize_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(colorize_image,colorize_image,colorize_image->rows,1)
#endif
for (y=0; y < (ssize_t) colorize_image->rows; y++)
{
MagickBooleanType
sync;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,colorize_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) colorize_image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(colorize_image); i++)
{
PixelTrait traits = GetPixelChannelTraits(colorize_image,
(PixelChannel) i);
if (traits == UndefinedPixelTrait)
continue;
if ((traits & CopyPixelTrait) != 0)
continue;
SetPixelChannel(colorize_image,(PixelChannel) i,ClampToQuantum(
Colorize(q[i],GetPixelInfoChannel(&blend_percentage,(PixelChannel) i),
GetPixelInfoChannel(colorize,(PixelChannel) i))),q);
}
q+=GetPixelChannels(colorize_image);
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ColorizeImageTag,progress,
colorize_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_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.
%
*/
/* FUTURE: modify to make use of a MagickMatrix Mutliply function
That should be provided in "matrix.c"
(ASIDE: actually distorts should do this too but currently doesn't)
*/
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;
/*
Map given color_matrix, into a 6x6 matrix RGBKA and a constant
*/
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,exception) == MagickFalse)
{
color_image=DestroyImage(color_image);
return((Image *) NULL);
}
if (image->debug != MagickFalse)
{
char
format[MagickPathExtent],
*message;
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" ColorMatrix image with color matrix:");
message=AcquireString("");
for (v=0; v < 6; v++)
{
*message='\0';
(void) FormatLocaleString(format,MagickPathExtent,"%.20g: ",(double) v);
(void) ConcatenateString(&message,format);
for (u=0; u < 6; u++)
{
(void) FormatLocaleString(format,MagickPathExtent,"%+f ",
ColorMatrix[v][u]);
(void) ConcatenateString(&message,format);
}
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"%s",message);
}
message=DestroyString(message);
}
/*
Apply the ColorMatrix to 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++)
{
PixelInfo
pixel;
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
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 Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
GetPixelInfo(image,&pixel);
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
v;
size_t
height;
GetPixelInfoPixel(image,p,&pixel);
height=color_matrix->height > 6 ? 6UL : color_matrix->height;
for (v=0; v < (ssize_t) height; v++)
{
double
sum;
sum=ColorMatrix[v][0]*GetPixelRed(image,p)+ColorMatrix[v][1]*
GetPixelGreen(image,p)+ColorMatrix[v][2]*GetPixelBlue(image,p);
if (image->colorspace == CMYKColorspace)
sum+=ColorMatrix[v][3]*GetPixelBlack(image,p);
if (image->alpha_trait != UndefinedPixelTrait)
sum+=ColorMatrix[v][4]*GetPixelAlpha(image,p);
sum+=QuantumRange*ColorMatrix[v][5];
switch (v)
{
case 0: pixel.red=sum; break;
case 1: pixel.green=sum; break;
case 2: pixel.blue=sum; break;
case 3: pixel.black=sum; break;
case 4: pixel.alpha=sum; break;
default: break;
}
}
SetPixelViaPixelInfo(color_image,&pixel,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(color_image);
}
if (SyncCacheViewAuthenticPixels(color_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ColorMatrixImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
color_view=DestroyCacheView(color_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
color_image=DestroyImage(color_image);
return(color_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ 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.
%
*/
MagickPrivate 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:
%
% double FxEvaluateChannelExpression(FxInfo *fx_info,
% const PixelChannel channel,const ssize_t x,const ssize_t y,
% double *alpha,Exceptioninfo *exception)
% double 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,Image *image,
PixelChannel channel,const char *symbol,ExceptionInfo *exception)
{
ChannelType
channel_mask;
char
key[MagickPathExtent],
statistic[MagickPathExtent];
const char
*value;
register const char
*p;
channel_mask=UndefinedChannel;
for (p=symbol; (*p != '.') && (*p != '\0'); p++) ;
if (*p == '.')
{
ssize_t
option;
option=ParseCommandOption(MagickPixelChannelOptions,MagickTrue,p+1);
if (option >= 0)
{
channel=(PixelChannel) option;
channel_mask=SetPixelChannelMask(image,(ChannelType)
(1UL << channel));
}
}
(void) FormatLocaleString(key,MagickPathExtent,"%p.%.20g.%s",(void *) image,
(double) channel,symbol);
value=(const char *) GetValueFromSplayTree(fx_info->symbols,key);
if (value != (const char *) NULL)
{
if (channel_mask != UndefinedChannel)
(void) SetPixelChannelMask(image,channel_mask);
return(QuantumScale*StringToDouble(value,(char **) NULL));
}
(void) DeleteNodeFromSplayTree(fx_info->symbols,key);
if (LocaleNCompare(symbol,"depth",5) == 0)
{
size_t
depth;
depth=GetImageDepth(image,exception);
(void) FormatLocaleString(statistic,MagickPathExtent,"%.20g",(double)
depth);
}
if (LocaleNCompare(symbol,"kurtosis",8) == 0)
{
double
kurtosis,
skewness;
(void) GetImageKurtosis(image,&kurtosis,&skewness,exception);
(void) FormatLocaleString(statistic,MagickPathExtent,"%.20g",kurtosis);
}
if (LocaleNCompare(symbol,"maxima",6) == 0)
{
double
maxima,
minima;
(void) GetImageRange(image,&minima,&maxima,exception);
(void) FormatLocaleString(statistic,MagickPathExtent,"%.20g",maxima);
}
if (LocaleNCompare(symbol,"mean",4) == 0)
{
double
mean,
standard_deviation;
(void) GetImageMean(image,&mean,&standard_deviation,exception);
(void) FormatLocaleString(statistic,MagickPathExtent,"%.20g",mean);
}
if (LocaleNCompare(symbol,"minima",6) == 0)
{
double
maxima,
minima;
(void) GetImageRange(image,&minima,&maxima,exception);
(void) FormatLocaleString(statistic,MagickPathExtent,"%.20g",minima);
}
if (LocaleNCompare(symbol,"skewness",8) == 0)
{
double
kurtosis,
skewness;
(void) GetImageKurtosis(image,&kurtosis,&skewness,exception);
(void) FormatLocaleString(statistic,MagickPathExtent,"%.20g",skewness);
}
if (LocaleNCompare(symbol,"standard_deviation",18) == 0)
{
double
mean,
standard_deviation;
(void) GetImageMean(image,&mean,&standard_deviation,exception);
(void) FormatLocaleString(statistic,MagickPathExtent,"%.20g",
standard_deviation);
}
if (channel_mask != UndefinedChannel)
(void) SetPixelChannelMask(image,channel_mask);
(void) AddValueToSplayTree(fx_info->symbols,ConstantString(key),
ConstantString(statistic));
return(QuantumScale*StringToDouble(statistic,(char **) NULL));
}
static double
FxEvaluateSubexpression(FxInfo *,const PixelChannel,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 PixelChannel channel,
const ssize_t x,const ssize_t y,const char *expression,const size_t depth,
ExceptionInfo *exception)
{
char
*q,
symbol[MagickPathExtent];
const char
*p,
*value;
Image
*image;
MagickBooleanType
status;
PixelInfo
pixel;
double
alpha,
beta;
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);
GetPixelInfo(image,&pixel);
status=InterpolatePixelInfo(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[MagickPathExtent];
(void) CopyMagickString(name,p,MagickPathExtent);
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))
{
PixelInfo
*color;
color=(PixelInfo *) GetValueFromSplayTree(fx_info->colors,name);
if (color != (PixelInfo *) NULL)
{
pixel=(*color);
p+=strlen(name);
}
else
{
MagickBooleanType
status;
status=QueryColorCompliance(name,AllCompliance,&pixel,
fx_info->exception);
if (status != MagickFalse)
{
(void) AddValueToSplayTree(fx_info->colors,ConstantString(
name),ClonePixelInfo(&pixel));
p+=strlen(name);
}
}
}
}
(void) CopyMagickString(symbol,p,MagickPathExtent);
StripString(symbol);
if (*symbol == '\0')
{
switch (channel)
{
case RedPixelChannel: return(QuantumScale*pixel.red);
case GreenPixelChannel: return(QuantumScale*pixel.green);
case BluePixelChannel: return(QuantumScale*pixel.blue);
case BlackPixelChannel:
{
if (image->colorspace != CMYKColorspace)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ImageError,"ColorSeparatedImageRequired","`%s'",
image->filename);
return(0.0);
}
return(QuantumScale*pixel.black);
}
case AlphaPixelChannel:
{
if (pixel.alpha_trait == UndefinedPixelTrait)
return(1.0);
alpha=(double) (QuantumScale*pixel.alpha);
return(alpha);
}
case CompositePixelChannel:
{
Quantum
quantum_pixel[MaxPixelChannels];
SetPixelViaPixelInfo(image,&pixel,quantum_pixel);
return(QuantumScale*GetPixelIntensity(image,quantum_pixel));
}
case IndexPixelChannel:
return(0.0);
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((QuantumScale*pixel.alpha));
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 CyanPixelChannel:
{
if ((flags & RhoValue) == 0)
return(0.0);
return(channel_info.rho);
}
case MagentaPixelChannel:
{
if ((flags & SigmaValue) == 0)
return(0.0);
return(channel_info.sigma);
}
case YellowPixelChannel:
{
if ((flags & XiValue) == 0)
return(0.0);
return(channel_info.xi);
}
case BlackPixelChannel:
{
if ((flags & PsiValue) == 0)
return(0.0);
return(channel_info.psi);
}
case AlphaPixelChannel:
{
if ((flags & ChiValue) == 0)
return(0.0);
return(channel_info.chi);
}
default:
return(0.0);
}
switch (channel)
{
case RedPixelChannel:
{
if ((flags & RhoValue) == 0)
return(0.0);
return(channel_info.rho);
}
case GreenPixelChannel:
{
if ((flags & SigmaValue) == 0)
return(0.0);
return(channel_info.sigma);
}
case BluePixelChannel:
{
if ((flags & XiValue) == 0)
return(0.0);
return(channel_info.xi);
}
case BlackPixelChannel:
{
if ((flags & ChiValue) == 0)
return(0.0);
return(channel_info.chi);
}
case AlphaPixelChannel:
{
if ((flags & PsiValue) == 0)
return(0.0);
return(channel_info.psi);
}
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.black);
}
break;
}
case 'H':
case 'h':
{
if (LocaleCompare(symbol,"h") == 0)
return((double) image->rows);
if (LocaleCompare(symbol,"hue") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(pixel.red,pixel.green,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->resolution.x);
if (LocaleCompare(symbol,"image.resolution.y") == 0)
return(image->resolution.y);
if (LocaleCompare(symbol,"intensity") == 0)
{
Quantum
quantum_pixel[MaxPixelChannels];
SetPixelViaPixelInfo(image,&pixel,quantum_pixel);
return(QuantumScale*GetPixelIntensity(image,quantum_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(pixel.red,pixel.green,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
luminence;
luminence=0.212656*pixel.red+0.715158*pixel.green+0.072186*pixel.blue;
return(QuantumScale*luminence);
}
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.alpha);
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->resolution.x)*image->columns);
if (LocaleCompare(symbol,"printsize.y") == 0)
return(PerceptibleReciprocal(image->resolution.y)*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->resolution.x);
if (LocaleCompare(symbol,"resolution.y") == 0)
return(image->resolution.y);
if (LocaleCompare(symbol,"r") == 0)
return(QuantumScale*pixel.red);
break;
}
case 'S':
case 's':
{
if (LocaleCompare(symbol,"saturation") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(pixel.red,pixel.green,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)
return((double) GetImageDepth(image,fx_info->exception));
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 PixelChannel 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);
FxReturn(PerceptibleReciprocal(*beta)*alpha);
}
case '%':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=fabs(floor((*beta)+0.5));
FxReturn(fmod(alpha,*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 '?':
{
(void) CopyMagickString(subexpression,++p,MagickPathExtent);
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[MagickPathExtent];
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,MagickPathExtent,"%.20g",*beta);
(void) DeleteNodeFromSplayTree(fx_info->symbols,subexpression);
(void) AddValueToSplayTree(fx_info->symbols,ConstantString(
subexpression),ConstantString(numeric));
FxReturn(*beta);
}
case ',':
{
if (fabs(alpha) > MagickEpsilon)
*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,MagickPathExtent);
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 CyanPixelChannel: type="cyan"; break;
case MagentaPixelChannel: type="magenta"; break;
case YellowPixelChannel: type="yellow"; break;
case AlphaPixelChannel: type="opacity"; break;
case BlackPixelChannel: type="black"; break;
default: type="unknown"; break;
}
else
switch (channel)
{
case RedPixelChannel: type="red"; break;
case GreenPixelChannel: type="green"; break;
case BluePixelChannel: type="blue"; break;
case AlphaPixelChannel: type="opacity"; break;
default: type="unknown"; break;
}
*subexpression='\0';
if (strlen(expression) > 6)
(void) CopyMagickString(subexpression,expression+6,
MagickPathExtent);
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(),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,"erf",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(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(QuantumRange);
if (LocaleCompare(expression,"QuantumScale") == 0)
FxReturn(QuantumScale);
break;
}
case 'R':
case 'r':
{
if (LocaleNCompare(expression,"rand",4) == 0)
{
#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;
}
subexpression=DestroyString(subexpression);
q=(char *) expression;
alpha=InterpretSiPrefixValue(expression,&q);
if (q == expression)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
FxReturn(alpha);
}
MagickPrivate MagickBooleanType FxEvaluateExpression(FxInfo *fx_info,
double *alpha,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=FxEvaluateChannelExpression(fx_info,GrayPixelChannel,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,GrayPixelChannel,0,0,alpha,
exception);
fx_info->file=file;
return(status);
}
MagickPrivate MagickBooleanType FxEvaluateChannelExpression(FxInfo *fx_info,
const PixelChannel 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)
%
% A description of each parameter follows:
%
% o image: the image.
%
% 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;
FxInfo
**fx_info;
double
alpha;
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,exception);
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)
{
#define FxImageTag "Fx/Image"
CacheView
*fx_view,
*image_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,exception) == MagickFalse)
{
fx_info=DestroyFxThreadSet(fx_info);
fx_image=DestroyImage(fx_image);
return((Image *) NULL);
}
/*
Fx image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
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();
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(fx_view,0,y,fx_image->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) fx_image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait fx_traits=GetPixelChannelTraits(fx_image,channel);
if ((traits == UndefinedPixelTrait) ||
(fx_traits == UndefinedPixelTrait))
continue;
if ((fx_traits & CopyPixelTrait) != 0)
{
SetPixelChannel(fx_image,channel,p[i],q);
continue;
}
alpha=0.0;
(void) FxEvaluateChannelExpression(fx_info[id],channel,x,y,&alpha,
exception);
q[i]=ClampToQuantum(QuantumRange*alpha);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(fx_image);
}
if (SyncCacheViewAuthenticPixels(fx_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,FxImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
fx_view=DestroyCacheView(fx_view);
image_view=DestroyCacheView(image_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,
% const PixelInterpolateMethod method,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 method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ImplodeImage(const Image *image,const double amount,
const PixelInterpolateMethod method,ExceptionInfo *exception)
{
#define ImplodeImageTag "Implode/Image"
CacheView
*canvas_view,
*implode_view,
*interpolate_view;
double
radius;
Image
*canvas_image,
*implode_image;
MagickBooleanType
status;
MagickOffsetType
progress;
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);
canvas_image=CloneImage(image,0,0,MagickTrue,exception);
if (canvas_image == (Image *) NULL)
return((Image *) NULL);
if ((canvas_image->alpha_trait == UndefinedPixelTrait) &&
(canvas_image->background_color.alpha != OpaqueAlpha))
(void) SetImageAlphaChannel(canvas_image,OpaqueAlphaChannel,exception);
implode_image=CloneImage(canvas_image,0,0,MagickTrue,exception);
if (implode_image == (Image *) NULL)
{
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
if (SetImageStorageClass(implode_image,DirectClass,exception) == MagickFalse)
{
canvas_image=DestroyImage(canvas_image);
implode_image=DestroyImage(implode_image);
return((Image *) NULL);
}
/*
Compute scaling factor.
*/
scale.x=1.0;
scale.y=1.0;
center.x=0.5*canvas_image->columns;
center.y=0.5*canvas_image->rows;
radius=center.x;
if (canvas_image->columns > canvas_image->rows)
scale.y=(double) canvas_image->columns/(double) canvas_image->rows;
else
if (canvas_image->columns < canvas_image->rows)
{
scale.x=(double) canvas_image->rows/(double) canvas_image->columns;
radius=center.y;
}
/*
Implode image.
*/
status=MagickTrue;
progress=0;
canvas_view=AcquireVirtualCacheView(canvas_image,exception);
interpolate_view=AcquireVirtualCacheView(canvas_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(canvas_image,implode_image,canvas_image->rows,1)
#endif
for (y=0; y < (ssize_t) canvas_image->rows; y++)
{
double
distance;
PointInfo
delta;
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(canvas_view,0,y,canvas_image->columns,1,
exception);
q=QueueCacheViewAuthenticPixels(implode_view,0,y,implode_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
delta.y=scale.y*(double) (y-center.y);
for (x=0; x < (ssize_t) canvas_image->columns; x++)
{
register ssize_t
i;
/*
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))
for (i=0; i < (ssize_t) GetPixelChannels(canvas_image); i++)
{
PixelChannel channel = GetPixelChannelChannel(canvas_image,i);
PixelTrait traits = GetPixelChannelTraits(canvas_image,channel);
PixelTrait implode_traits = GetPixelChannelTraits(implode_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(implode_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(implode_image,channel,p[i],q);
}
else
{
double
factor;
/*
Implode the pixel.
*/
factor=1.0;
if (distance > 0.0)
factor=pow(sin(MagickPI*sqrt((double) distance)/radius/2),-amount);
status=InterpolatePixelChannels(canvas_image,interpolate_view,
implode_image,method,(double) (factor*delta.x/scale.x+center.x),
(double) (factor*delta.y/scale.y+center.y),q,exception);
if (status == MagickFalse)
break;
}
p+=GetPixelChannels(canvas_image);
q+=GetPixelChannels(implode_image);
}
if (SyncCacheViewAuthenticPixels(implode_view,exception) == MagickFalse)
status=MagickFalse;
if (canvas_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(canvas_image,ImplodeImageTag,progress,
canvas_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
implode_view=DestroyCacheView(implode_view);
interpolate_view=DestroyCacheView(interpolate_view);
canvas_view=DestroyCacheView(canvas_view);
canvas_image=DestroyImage(canvas_image);
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
n;
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 (n=1; n < (ssize_t) number_frames; n++)
{
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) n,
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 (n=0; n < (ssize_t) number_frames; n++)
{
CacheView
*image_view,
*morph_view;
beta=(double) (n+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,exception);
if (morph_image == (Image *) NULL)
{
morph_images=DestroyImageList(morph_images);
return((Image *) NULL);
}
status=SetImageStorageClass(morph_image,DirectClass,exception);
if (status == MagickFalse)
{
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,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 Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*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 Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) morph_images->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(morph_image); i++)
{
PixelChannel channel = GetPixelChannelChannel(morph_image,i);
PixelTrait traits = GetPixelChannelTraits(morph_image,channel);
PixelTrait morph_traits=GetPixelChannelTraits(morph_images,channel);
if ((traits == UndefinedPixelTrait) ||
(morph_traits == UndefinedPixelTrait))
continue;
if ((morph_traits & CopyPixelTrait) != 0)
{
SetPixelChannel(morph_image,channel,p[i],q);
continue;
}
SetPixelChannel(morph_image,channel,ClampToQuantum(alpha*
GetPixelChannel(morph_images,channel,q)+beta*p[i]),q);
}
p+=GetPixelChannels(morph_image);
q+=GetPixelChannels(morph_images);
}
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 (n < (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,ExceptionInfo *exception)
%
% 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.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline Quantum PlasmaPixel(RandomInfo *random_info,
const double 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);
}
static 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;
register const Quantum
*magick_restrict u,
*magick_restrict v;
register Quantum
*magick_restrict q;
register ssize_t
i;
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,exception);
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,exception);
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,exception);
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,exception);
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.
*/
plasma=(double) QuantumRange/(2.0*attenuate);
if ((fabs(segment->x1-x_mid) > MagickEpsilon) ||
(fabs(segment->x2-x_mid) > MagickEpsilon))
{
/*
Left pixel.
*/
x=(ssize_t) ceil(segment->x1-0.5);
u=GetCacheViewVirtualPixels(u_view,x,(ssize_t) ceil(segment->y1-0.5),1,1,
exception);
v=GetCacheViewVirtualPixels(v_view,x,(ssize_t) ceil(segment->y2-0.5),1,1,
exception);
q=QueueCacheViewAuthenticPixels(image_view,x,y_mid,1,1,exception);
if ((u == (const Quantum *) NULL) || (v == (const Quantum *) NULL) ||
(q == (Quantum *) NULL))
return(MagickTrue);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
q[i]=PlasmaPixel(random_info,(u[i]+v[i])/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);
u=GetCacheViewVirtualPixels(u_view,x,(ssize_t) ceil(segment->y1-0.5),
1,1,exception);
v=GetCacheViewVirtualPixels(v_view,x,(ssize_t) ceil(segment->y2-0.5),
1,1,exception);
q=QueueCacheViewAuthenticPixels(image_view,x,y_mid,1,1,exception);
if ((u == (const Quantum *) NULL) || (v == (const Quantum *) NULL) ||
(q == (Quantum *) NULL))
return(MagickTrue);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
q[i]=PlasmaPixel(random_info,(u[i]+v[i])/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))
{
/*
Bottom pixel.
*/
y=(ssize_t) ceil(segment->y2-0.5);
u=GetCacheViewVirtualPixels(u_view,(ssize_t) ceil(segment->x1-0.5),y,
1,1,exception);
v=GetCacheViewVirtualPixels(v_view,(ssize_t) ceil(segment->x2-0.5),y,
1,1,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y,1,1,exception);
if ((u == (const Quantum *) NULL) || (v == (const Quantum *) NULL) ||
(q == (Quantum *) NULL))
return(MagickTrue);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
q[i]=PlasmaPixel(random_info,(u[i]+v[i])/2.0,plasma);
}
(void) SyncCacheViewAuthenticPixels(image_view,exception);
}
if (fabs(segment->y1-segment->y2) > MagickEpsilon)
{
/*
Top pixel.
*/
y=(ssize_t) ceil(segment->y1-0.5);
u=GetCacheViewVirtualPixels(u_view,(ssize_t) ceil(segment->x1-0.5),y,
1,1,exception);
v=GetCacheViewVirtualPixels(v_view,(ssize_t) ceil(segment->x2-0.5),y,
1,1,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y,1,1,exception);
if ((u == (const Quantum *) NULL) || (v == (const Quantum *) NULL) ||
(q == (Quantum *) NULL))
return(MagickTrue);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
q[i]=PlasmaPixel(random_info,(u[i]+v[i])/2.0,plasma);
}
(void) SyncCacheViewAuthenticPixels(image_view,exception);
}
}
if ((fabs(segment->x1-segment->x2) > MagickEpsilon) ||
(fabs(segment->y1-segment->y2) > MagickEpsilon))
{
/*
Middle pixel.
*/
x=(ssize_t) ceil(segment->x1-0.5);
y=(ssize_t) ceil(segment->y1-0.5);
u=GetCacheViewVirtualPixels(u_view,x,y,1,1,exception);
x=(ssize_t) ceil(segment->x2-0.5);
y=(ssize_t) ceil(segment->y2-0.5);
v=GetCacheViewVirtualPixels(v_view,x,y,1,1,exception);
q=QueueCacheViewAuthenticPixels(image_view,x_mid,y_mid,1,1,exception);
if ((u == (const Quantum *) NULL) || (v == (const Quantum *) NULL) ||
(q == (Quantum *) NULL))
return(MagickTrue);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
q[i]=PlasmaPixel(random_info,(u[i]+v[i])/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,
ExceptionInfo *exception)
{
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,exception) == MagickFalse)
return(MagickFalse);
image_view=AcquireAuthenticCacheView(image,exception);
u_view=AcquireVirtualCacheView(image,exception);
v_view=AcquireVirtualCacheView(image,exception);
random_info=AcquireRandomInfo();
status=PlasmaImageProxy(image,image_view,u_view,v_view,random_info,segment,
attenuate,depth,exception);
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 PolaroidImage method is:
%
% Image *PolaroidImage(const Image *image,const DrawInfo *draw_info,
% const char *caption,const double angle,
% const PixelInterpolateMethod method,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o draw_info: the draw info.
%
% o caption: the Polaroid caption.
%
% o angle: Apply the effect along this angle.
%
% o method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PolaroidImage(const Image *image,const DrawInfo *draw_info,
const char *caption,const double angle,const PixelInterpolateMethod method,
ExceptionInfo *exception)
{
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;
if (caption != (const char *) NULL)
{
char
*text;
/*
Generate caption image.
*/
caption_image=CloneImage(image,image->columns,1,MagickTrue,exception);
if (caption_image == (Image *) NULL)
return((Image *) NULL);
text=InterpretImageProperties((ImageInfo *) NULL,(Image *) image,caption,
exception);
if (text != (char *) NULL)
{
char
geometry[MagickPathExtent];
DrawInfo
*annotate_info;
MagickBooleanType
status;
ssize_t
count;
TypeMetric
metrics;
annotate_info=CloneDrawInfo((const ImageInfo *) NULL,draw_info);
(void) CloneString(&annotate_info->text,text);
count=FormatMagickCaption(caption_image,annotate_info,MagickTrue,
&metrics,&text,exception);
status=SetImageExtent(caption_image,image->columns,(size_t)
((count+1)*(metrics.ascent-metrics.descent)+0.5),exception);
if (status == MagickFalse)
caption_image=DestroyImage(caption_image);
else
{
caption_image->background_color=image->border_color;
(void) SetImageBackgroundColor(caption_image,exception);
(void) CloneString(&annotate_info->text,text);
(void) FormatLocaleString(geometry,MagickPathExtent,"+0+%.20g",
metrics.ascent);
if (annotate_info->gravity == UndefinedGravity)
(void) CloneString(&annotate_info->geometry,AcquireString(
geometry));
(void) AnnotateImage(caption_image,annotate_info,exception);
height+=caption_image->rows;
}
annotate_info=DestroyDrawInfo(annotate_info);
text=DestroyString(text);
}
}
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,exception);
(void) CompositeImage(picture_image,image,OverCompositeOp,MagickTrue,quantum,
quantum,exception);
if (caption_image != (Image *) NULL)
{
(void) CompositeImage(picture_image,caption_image,OverCompositeOp,
MagickTrue,quantum,(ssize_t) (image->rows+3*quantum/2),exception);
caption_image=DestroyImage(caption_image);
}
(void) QueryColorCompliance("none",AllCompliance,
&picture_image->background_color,exception);
(void) SetImageAlphaChannel(picture_image,OpaqueAlphaChannel,exception);
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,method,exception);
picture_image=DestroyImage(picture_image);
if (bend_image == (Image *) NULL)
return((Image *) NULL);
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,picture_image,OverCompositeOp,
MagickTrue,(ssize_t) (-0.01*picture_image->columns/2.0),0L,exception);
picture_image=DestroyImage(picture_image);
(void) QueryColorCompliance("none",AllCompliance,
&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,exception) == MagickFalse)
{
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 Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewAuthenticPixels(sepia_view,0,y,sepia_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,
tone;
intensity=GetPixelIntensity(image,p);
tone=intensity > threshold ? (double) QuantumRange : intensity+
(double) QuantumRange-threshold;
SetPixelRed(sepia_image,ClampToQuantum(tone),q);
tone=intensity > (7.0*threshold/6.0) ? (double) QuantumRange :
intensity+(double) QuantumRange-7.0*threshold/6.0;
SetPixelGreen(sepia_image,ClampToQuantum(tone),q);
tone=intensity < (threshold/6.0) ? 0 : intensity-threshold/6.0;
SetPixelBlue(sepia_image,ClampToQuantum(tone),q);
tone=threshold/7.0;
if ((double) GetPixelGreen(image,q) < tone)
SetPixelGreen(sepia_image,ClampToQuantum(tone),q);
if ((double) GetPixelBlue(image,q) < tone)
SetPixelBlue(sepia_image,ClampToQuantum(tone),q);
SetPixelAlpha(sepia_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(sepia_image);
}
if (SyncCacheViewAuthenticPixels(sepia_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,SepiaToneImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
sepia_view=DestroyCacheView(sepia_view);
image_view=DestroyCacheView(image_view);
(void) NormalizeImage(sepia_image,exception);
(void) ContrastImage(sepia_image,MagickTrue,exception);
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 alpha,
% 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 alpha: 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 alpha,
const double sigma,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
#define ShadowImageTag "Shadow/Image"
CacheView
*image_view;
ChannelType
channel_mask;
Image
*border_image,
*clone_image,
*shadow_image;
MagickBooleanType
status;
PixelInfo
background_color;
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,exception);
(void) SetImageVirtualPixelMethod(clone_image,EdgeVirtualPixelMethod,
exception);
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) QueryColorCompliance("none",AllCompliance,&clone_image->border_color,
exception);
clone_image->alpha_trait=BlendPixelTrait;
border_image=BorderImage(clone_image,&border_info,OverCompositeOp,exception);
clone_image=DestroyImage(clone_image);
if (border_image == (Image *) NULL)
return((Image *) NULL);
if (border_image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(border_image,OpaqueAlphaChannel,exception);
/*
Shadow image.
*/
status=MagickTrue;
background_color=border_image->background_color;
background_color.alpha_trait=BlendPixelTrait;
image_view=AcquireAuthenticCacheView(border_image,exception);
for (y=0; y < (ssize_t) border_image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(image_view,0,y,border_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) border_image->columns; x++)
{
if (border_image->alpha_trait != UndefinedPixelTrait)
background_color.alpha=GetPixelAlpha(border_image,q)*alpha/100.0;
SetPixelViaPixelInfo(border_image,&background_color,q);
q+=GetPixelChannels(border_image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
{
border_image=DestroyImage(border_image);
return((Image *) NULL);
}
channel_mask=SetImageChannelMask(border_image,AlphaChannel);
shadow_image=BlurImage(border_image,0.0,sigma,exception);
border_image=DestroyImage(border_image);
if (shadow_image == (Image *) NULL)
return((Image *) NULL);
(void) SetPixelChannelMask(shadow_image,channel_mask);
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;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
/*
Sketch image.
*/
random_image=CloneImage(image,image->columns << 1,image->rows << 1,
MagickTrue,exception);
if (random_image == (Image *) NULL)
return((Image *) NULL);
status=MagickTrue;
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();
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(random_view,0,y,random_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) random_image->columns; x++)
{
double
value;
register ssize_t
i;
value=GetPseudoRandomValue(random_info[id]);
for (i=0; i < (ssize_t) GetPixelChannels(random_image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
q[i]=ClampToQuantum(QuantumRange*value);
}
q+=GetPixelChannels(random_image);
}
if (SyncCacheViewAuthenticPixels(random_view,exception) == MagickFalse)
status=MagickFalse;
}
random_view=DestroyCacheView(random_view);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
{
random_image=DestroyImage(random_image);
return(random_image);
}
blur_image=MotionBlurImage(random_image,radius,sigma,angle,exception);
random_image=DestroyImage(random_image);
if (blur_image == (Image *) NULL)
return((Image *) NULL);
dodge_image=EdgeImage(blur_image,radius,exception);
blur_image=DestroyImage(blur_image);
if (dodge_image == (Image *) NULL)
return((Image *) NULL);
status=ClampImage(dodge_image,exception);
if (status != MagickFalse)
status=NormalizeImage(dodge_image,exception);
if (status != MagickFalse)
status=NegateImage(dodge_image,MagickFalse,exception);
if (status != MagickFalse)
status=TransformImage(&dodge_image,(char *) NULL,"50%",exception);
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,dodge_image,ColorDodgeCompositeOp,
MagickTrue,0,0,exception);
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);
}
if (blend_image->alpha_trait != BlendPixelTrait)
(void) SetImageAlpha(blend_image,TransparentAlpha,exception);
(void) SetImageArtifact(blend_image,"compose:args","20x80");
(void) CompositeImage(sketch_image,blend_image,BlendCompositeOp,MagickTrue,
0,0,exception);
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,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% 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,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,exception);
if (image->storage_class == PseudoClass)
{
register ssize_t
i;
/*
Solarize colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((double) image->colormap[i].red > threshold)
image->colormap[i].red=QuantumRange-image->colormap[i].red;
if ((double) image->colormap[i].green > threshold)
image->colormap[i].green=QuantumRange-image->colormap[i].green;
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 Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if ((double) q[i] > threshold)
q[i]=QuantumRange-q[i];
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,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) (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;
PixelInfo
pixel;
register Quantum
*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);
stegano_image->depth=MAGICKCORE_QUANTUM_DEPTH;
if (SetImageStorageClass(stegano_image,DirectClass,exception) == MagickFalse)
{
stegano_image=DestroyImage(stegano_image);
return((Image *) NULL);
}
/*
Hide watermark in low-order bits of image.
*/
c=0;
i=0;
j=0;
depth=stegano_image->depth;
k=stegano_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++)
{
ssize_t
offset;
(void) GetOneCacheViewVirtualPixelInfo(watermark_view,x,y,&pixel,
exception);
offset=k/(ssize_t) stegano_image->columns;
if (offset >= (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 == (Quantum *) NULL)
break;
switch (c)
{
case 0:
{
SetPixelRed(stegano_image,SetBit(GetPixelRed(stegano_image,q),j,
GetBit(GetPixelInfoIntensity(stegano_image,&pixel),i)),q);
break;
}
case 1:
{
SetPixelGreen(stegano_image,SetBit(GetPixelGreen(stegano_image,q),j,
GetBit(GetPixelInfoIntensity(stegano_image,&pixel),i)),q);
break;
}
case 2:
{
SetPixelBlue(stegano_image,SetBit(GetPixelBlue(stegano_image,q),j,
GetBit(GetPixelInfoIntensity(stegano_image,&pixel),i)),q);
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 == stegano_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 (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,exception) == MagickFalse)
{
stereo_image=DestroyImage(stereo_image);
return((Image *) NULL);
}
(void) SetImageColorspace(stereo_image,sRGBColorspace,exception);
/*
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 Quantum
*magick_restrict p,
*magick_restrict q;
register ssize_t
x;
register Quantum
*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 == (const Quantum *) NULL) || (q == (Quantum *) NULL) ||
(r == (Quantum *) NULL))
break;
for (x=0; x < (ssize_t) stereo_image->columns; x++)
{
SetPixelRed(stereo_image,GetPixelRed(left_image,p),r);
SetPixelGreen(stereo_image,GetPixelGreen(right_image,q),r);
SetPixelBlue(stereo_image,GetPixelBlue(right_image,q),r);
if ((GetPixelAlphaTraits(stereo_image) & CopyPixelTrait) != 0)
SetPixelAlpha(stereo_image,(GetPixelAlpha(left_image,p)+
GetPixelAlpha(right_image,q))/2,r);
p+=GetPixelChannels(left_image);
q+=GetPixelChannels(right_image);
r+=GetPixelChannels(stereo_image);
}
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,
% const PixelInterpolateMethod method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o degrees: Define the tightness of the swirling effect.
%
% o method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SwirlImage(const Image *image,double degrees,
const PixelInterpolateMethod method,ExceptionInfo *exception)
{
#define SwirlImageTag "Swirl/Image"
CacheView
*canvas_view,
*interpolate_view,
*swirl_view;
double
radius;
Image
*canvas_image,
*swirl_image;
MagickBooleanType
status;
MagickOffsetType
progress;
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);
canvas_image=CloneImage(image,0,0,MagickTrue,exception);
if (canvas_image == (Image *) NULL)
return((Image *) NULL);
if ((canvas_image->alpha_trait == UndefinedPixelTrait) &&
(canvas_image->background_color.alpha != OpaqueAlpha))
(void) SetImageAlphaChannel(canvas_image,OpaqueAlphaChannel,exception);
swirl_image=CloneImage(canvas_image,0,0,MagickTrue,exception);
if (swirl_image == (Image *) NULL)
{
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
if (SetImageStorageClass(swirl_image,DirectClass,exception) == MagickFalse)
{
canvas_image=DestroyImage(canvas_image);
swirl_image=DestroyImage(swirl_image);
return((Image *) NULL);
}
/*
Compute scaling factor.
*/
center.x=(double) canvas_image->columns/2.0;
center.y=(double) canvas_image->rows/2.0;
radius=MagickMax(center.x,center.y);
scale.x=1.0;
scale.y=1.0;
if (canvas_image->columns > canvas_image->rows)
scale.y=(double) canvas_image->columns/(double) canvas_image->rows;
else
if (canvas_image->columns < canvas_image->rows)
scale.x=(double) canvas_image->rows/(double) canvas_image->columns;
degrees=(double) DegreesToRadians(degrees);
/*
Swirl image.
*/
status=MagickTrue;
progress=0;
canvas_view=AcquireVirtualCacheView(canvas_image,exception);
interpolate_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(canvas_image,swirl_image,canvas_image->rows,1)
#endif
for (y=0; y < (ssize_t) canvas_image->rows; y++)
{
double
distance;
PointInfo
delta;
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(canvas_view,0,y,canvas_image->columns,1,
exception);
q=QueueCacheViewAuthenticPixels(swirl_view,0,y,swirl_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
delta.y=scale.y*(double) (y-center.y);
for (x=0; x < (ssize_t) canvas_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))
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(canvas_image); i++)
{
PixelChannel channel = GetPixelChannelChannel(canvas_image,i);
PixelTrait traits = GetPixelChannelTraits(canvas_image,channel);
PixelTrait swirl_traits = GetPixelChannelTraits(swirl_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(swirl_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(swirl_image,channel,p[i],q);
}
}
else
{
double
cosine,
factor,
sine;
/*
Swirl the pixel.
*/
factor=1.0-sqrt((double) distance)/radius;
sine=sin((double) (degrees*factor*factor));
cosine=cos((double) (degrees*factor*factor));
status=InterpolatePixelChannels(canvas_image,interpolate_view,
swirl_image,method,((cosine*delta.x-sine*delta.y)/scale.x+center.x),
(double) ((sine*delta.x+cosine*delta.y)/scale.y+center.y),q,
exception);
if (status == MagickFalse)
break;
}
p+=GetPixelChannels(canvas_image);
q+=GetPixelChannels(swirl_image);
}
if (SyncCacheViewAuthenticPixels(swirl_view,exception) == MagickFalse)
status=MagickFalse;
if (canvas_image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(canvas_image,SwirlImageTag,progress,
canvas_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
swirl_view=DestroyCacheView(swirl_view);
interpolate_view=DestroyCacheView(interpolate_view);
canvas_view=DestroyCacheView(canvas_view);
canvas_image=DestroyImage(canvas_image);
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 *blend,
% const PixelInfo *tint,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o blend: 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 *blend,
const PixelInfo *tint,ExceptionInfo *exception)
{
#define TintImageTag "Tint/Image"
CacheView
*image_view,
*tint_view;
double
intensity;
GeometryInfo
geometry_info;
Image
*tint_image;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
color_vector;
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,exception) == MagickFalse)
{
tint_image=DestroyImage(tint_image);
return((Image *) NULL);
}
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
(IsPixelInfoGray(tint) == MagickFalse))
(void) SetImageColorspace(tint_image,sRGBColorspace,exception);
if (blend == (const char *) NULL)
return(tint_image);
/*
Determine RGB values of the color.
*/
GetPixelInfo(image,&color_vector);
flags=ParseGeometry(blend,&geometry_info);
color_vector.red=geometry_info.rho;
color_vector.green=geometry_info.rho;
color_vector.blue=geometry_info.rho;
color_vector.alpha=(MagickRealType) OpaqueAlpha;
if ((flags & SigmaValue) != 0)
color_vector.green=geometry_info.sigma;
if ((flags & XiValue) != 0)
color_vector.blue=geometry_info.xi;
if ((flags & PsiValue) != 0)
color_vector.alpha=geometry_info.psi;
if (image->colorspace == CMYKColorspace)
{
color_vector.black=geometry_info.rho;
if ((flags & PsiValue) != 0)
color_vector.black=geometry_info.psi;
if ((flags & ChiValue) != 0)
color_vector.alpha=geometry_info.chi;
}
intensity=(double) GetPixelInfoIntensity((const Image *) NULL,tint);
color_vector.red=(double) (color_vector.red*tint->red/100.0-intensity);
color_vector.green=(double) (color_vector.green*tint->green/100.0-intensity);
color_vector.blue=(double) (color_vector.blue*tint->blue/100.0-intensity);
color_vector.black=(double) (color_vector.black*tint->black/100.0-intensity);
color_vector.alpha=(double) (color_vector.alpha*tint->alpha/100.0-intensity);
/*
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 Quantum
*magick_restrict p;
register Quantum
*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 Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
PixelInfo
pixel;
double
weight;
GetPixelInfo(image,&pixel);
weight=QuantumScale*GetPixelRed(image,p)-0.5;
pixel.red=(MagickRealType) GetPixelRed(image,p)+color_vector.red*
(1.0-(4.0*(weight*weight)));
weight=QuantumScale*GetPixelGreen(image,p)-0.5;
pixel.green=(MagickRealType) GetPixelGreen(image,p)+color_vector.green*
(1.0-(4.0*(weight*weight)));
weight=QuantumScale*GetPixelBlue(image,p)-0.5;
pixel.blue=(MagickRealType) GetPixelBlue(image,p)+color_vector.blue*
(1.0-(4.0*(weight*weight)));
weight=QuantumScale*GetPixelBlack(image,p)-0.5;
pixel.black=(MagickRealType) GetPixelBlack(image,p)+color_vector.black*
(1.0-(4.0*(weight*weight)));
pixel.alpha=(MagickRealType) GetPixelAlpha(image,p);
SetPixelViaPixelInfo(tint_image,&pixel,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(tint_image);
}
if (SyncCacheViewAuthenticPixels(tint_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,TintImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
tint_view=DestroyCacheView(tint_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
tint_image=DestroyImage(tint_image);
return(tint_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% V i g n e t t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% VignetteImage() softens the edges of the image in vignette style.
%
% The format of the VignetteImage method is:
%
% Image *VignetteImage(const Image *image,const double radius,
% const double sigma,const ssize_t x,const ssize_t y,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o sigma: the standard deviation of the Gaussian, in pixels.
%
% o x, y: Define the x and y ellipse offset.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *VignetteImage(const Image *image,const double radius,
const double sigma,const ssize_t x,const ssize_t y,ExceptionInfo *exception)
{
char
ellipse[MagickPathExtent];
DrawInfo
*draw_info;
Image
*canvas,
*blur_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=CloneImage(image,0,0,MagickTrue,exception);
if (canvas == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(canvas,DirectClass,exception) == MagickFalse)
{
canvas=DestroyImage(canvas);
return((Image *) NULL);
}
canvas->alpha_trait=BlendPixelTrait;
oval_image=CloneImage(canvas,canvas->columns,canvas->rows,MagickTrue,
exception);
if (oval_image == (Image *) NULL)
{
canvas=DestroyImage(canvas);
return((Image *) NULL);
}
(void) QueryColorCompliance("#000000",AllCompliance,
&oval_image->background_color,exception);
(void) SetImageBackgroundColor(oval_image,exception);
draw_info=CloneDrawInfo((const ImageInfo *) NULL,(const DrawInfo *) NULL);
(void) QueryColorCompliance("#ffffff",AllCompliance,&draw_info->fill,
exception);
(void) QueryColorCompliance("#ffffff",AllCompliance,&draw_info->stroke,
exception);
(void) FormatLocaleString(ellipse,MagickPathExtent,"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,exception);
draw_info=DestroyDrawInfo(draw_info);
blur_image=BlurImage(oval_image,radius,sigma,exception);
oval_image=DestroyImage(oval_image);
if (blur_image == (Image *) NULL)
{
canvas=DestroyImage(canvas);
return((Image *) NULL);
}
blur_image->alpha_trait=UndefinedPixelTrait;
(void) CompositeImage(canvas,blur_image,IntensityCompositeOp,MagickTrue,
0,0,exception);
blur_image=DestroyImage(blur_image);
vignette_image=MergeImageLayers(canvas,FlattenLayer,exception);
canvas=DestroyImage(canvas);
if (vignette_image != (Image *) NULL)
(void) TransformImageColorspace(vignette_image,image->colorspace,exception);
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,const PixelInterpolateMethod method,
% 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 interpolate: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *WaveImage(const Image *image,const double amplitude,
const double wave_length,const PixelInterpolateMethod method,
ExceptionInfo *exception)
{
#define WaveImageTag "Wave/Image"
CacheView
*canvas_image_view,
*wave_view;
float
*sine_map;
Image
*canvas_image,
*wave_image;
MagickBooleanType
status;
MagickOffsetType
progress;
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);
canvas_image=CloneImage(image,0,0,MagickTrue,exception);
if (canvas_image == (Image *) NULL)
return((Image *) NULL);
if ((canvas_image->alpha_trait == UndefinedPixelTrait) &&
(canvas_image->background_color.alpha != OpaqueAlpha))
(void) SetImageAlpha(canvas_image,OpaqueAlpha,exception);
wave_image=CloneImage(canvas_image,canvas_image->columns,(size_t)
(canvas_image->rows+2.0*fabs(amplitude)),MagickTrue,exception);
if (wave_image == (Image *) NULL)
{
canvas_image=DestroyImage(canvas_image);
return((Image *) NULL);
}
if (SetImageStorageClass(wave_image,DirectClass,exception) == MagickFalse)
{
canvas_image=DestroyImage(canvas_image);
wave_image=DestroyImage(wave_image);
return((Image *) NULL);
}
/*
Allocate sine map.
*/
sine_map=(float *) AcquireQuantumMemory((size_t) wave_image->columns,
sizeof(*sine_map));
if (sine_map == (float *) NULL)
{
canvas_image=DestroyImage(canvas_image);
wave_image=DestroyImage(wave_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (i=0; i < (ssize_t) wave_image->columns; i++)
sine_map[i]=(float) fabs(amplitude)+amplitude*sin((double)
((2.0*MagickPI*i)/wave_length));
/*
Wave image.
*/
status=MagickTrue;
progress=0;
canvas_image_view=AcquireVirtualCacheView(canvas_image,exception);
wave_view=AcquireAuthenticCacheView(wave_image,exception);
(void) SetCacheViewVirtualPixelMethod(canvas_image_view,
BackgroundVirtualPixelMethod);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(canvas_image,wave_image,wave_image->rows,1)
#endif
for (y=0; y < (ssize_t) wave_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(canvas_image_view,0,y,canvas_image->columns,1,
exception);
q=QueueCacheViewAuthenticPixels(wave_view,0,y,wave_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) wave_image->columns; x++)
{
status=InterpolatePixelChannels(canvas_image,canvas_image_view,
wave_image,method,(double) x,(double) (y-sine_map[x]),q,exception);
if (status == MagickFalse)
break;
p+=GetPixelChannels(canvas_image);
q+=GetPixelChannels(wave_image);
}
if (SyncCacheViewAuthenticPixels(wave_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(canvas_image,WaveImageTag,progress,
canvas_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
wave_view=DestroyCacheView(wave_view);
canvas_image_view=DestroyCacheView(canvas_image_view);
canvas_image=DestroyImage(canvas_image);
sine_map=(float *) RelinquishMagickMemory(sine_map);
if (status == MagickFalse)
wave_image=DestroyImage(wave_image);
return(wave_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W a v e l e t D e n o i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WaveletDenoiseImage() removes noise from the image using a wavelet
% transform. The wavelet transform is a fast hierarchical scheme for
% processing an image using a set of consecutive lowpass and high_pass filters,
% followed by a decimation. This results in a decomposition into different
% scales which can be regarded as different “frequency bands”, determined by
% the mother wavelet. Adapted from dcraw.c by David Coffin.
%
% The format of the WaveletDenoiseImage method is:
%
% Image *WaveletDenoiseImage(const Image *image,const double threshold,
% const double softness,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: set the threshold for smoothing.
%
% o softness: attenuate the smoothing threshold.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline void HatTransform(const float *magick_restrict pixels,
const size_t stride,const size_t extent,const size_t scale,float *kernel)
{
const float
*magick_restrict p,
*magick_restrict q,
*magick_restrict r;
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;
ssize_t
channel;
static const float
noise_levels[] = { 0.8002f, 0.2735f, 0.1202f, 0.0585f, 0.0291f, 0.0152f,
0.0080f, 0.0044f };
/*
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=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,exception) == MagickFalse)
{
noise_image=DestroyImage(noise_image);
return((Image *) NULL);
}
if (AcquireMagickResource(WidthResource,4*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=(MagickSizeType) image->columns*image->rows;
image_view=AcquireAuthenticCacheView(image,exception);
noise_view=AcquireAuthenticCacheView(noise_image,exception);
for (channel=0; channel < (ssize_t) GetPixelChannels(image); channel++)
{
register ssize_t
i;
size_t
high_pass,
low_pass;
ssize_t
level,
y;
PixelChannel
pixel_channel;
PixelTrait
traits;
if (status == MagickFalse)
continue;
traits=GetPixelChannelTraits(image,(PixelChannel) channel);
if (traits == UndefinedPixelTrait)
continue;
pixel_channel=GetPixelChannelChannel(image,channel);
if ((pixel_channel != RedPixelChannel) &&
(pixel_channel != GreenPixelChannel) &&
(pixel_channel != BluePixelChannel))
continue;
/*
Copy channel from image to wavelet pixel array.
*/
i=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
ssize_t
x;
p=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
pixels[i++]=(float) p[channel];
p+=GetPixelChannels(image);
}
}
/*
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 Quantum
*magick_restrict q;
register ssize_t
x;
ssize_t
offset;
q=GetCacheViewAuthenticPixels(noise_view,0,y,noise_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
break;
}
offset=GetPixelChannelOffset(noise_image,pixel_channel);
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
pixel;
pixel=(MagickRealType) pixels[i]+pixels[low_pass+i];
q[offset]=ClampToQuantum(pixel);
i++;
q+=GetPixelChannels(noise_image);
}
sync=SyncCacheViewAuthenticPixels(noise_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,AddNoiseImageTag,(MagickOffsetType)
channel,GetPixelChannels(image));
if (proceed == MagickFalse)
status=MagickFalse;
}
}
noise_view=DestroyCacheView(noise_view);
image_view=DestroyCacheView(image_view);
kernel=(float *) RelinquishMagickMemory(kernel);
pixels_info=RelinquishVirtualMemory(pixels_info);
if (status == MagickFalse)
noise_image=DestroyImage(noise_image);
return(noise_image);
}
|
GB_unop__log_fp32_fp32.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__log_fp32_fp32)
// op(A') function: GB (_unop_tran__log_fp32_fp32)
// C type: float
// A type: float
// cast: float cij = aij
// unaryop: cij = logf (aij)
#define GB_ATYPE \
float
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = logf (x) ;
// casting
#define GB_CAST(z, aij) \
float z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
float aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
float z = aij ; \
Cx [pC] = logf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LOG || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__log_fp32_fp32)
(
float *Cx, // Cx and Ax may be aliased
const float *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++)
{
float aij = Ax [p] ;
float z = aij ;
Cx [p] = logf (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 ;
float aij = Ax [p] ;
float z = aij ;
Cx [p] = logf (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__log_fp32_fp32)
(
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
|
conv_kernel_mips.c | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Copyright (c) 2021, OPEN AI LAB
* Author: qtang@openailab.com
*/
#include "conv_kernel_mips.h"
#include "wino_conv_kernel_mips.h"
#include "graph/tensor.h"
#include "graph/node.h"
#include "graph/graph.h"
#include "utility/sys_port.h"
#include "utility/float.h"
#include "utility/log.h"
#include "device/cpu/cpu_node.h"
#include "device/cpu/cpu_graph.h"
#include "device/cpu/cpu_module.h"
#include <string.h>
#include <stdint.h>
#include <stdlib.h>
#include <math.h>
#if __mips_msa
#include <msa.h>
#endif
#define max(a, b) ((a) > (b) ? (a) : (b))
#define min(a, b) ((a) < (b) ? (a) : (b))
static int get_private_mem_size(struct tensor* filter)
{
return filter->elem_num * filter->elem_size; // caution
}
static void interleave(struct tensor* filter, struct conv_priv_info* priv_info)
{
/* simply copy the data */
memcpy(priv_info->interleave_buffer, filter->data, filter->elem_num * filter->elem_size);
}
void im2col(float* data_img, float* data_col, int inh, int inw, int inc, int outh, int outw, int outc, int ksize_h,
int ksize_w, int sh, int sw, int ph, int pw, int dh, int dw)
{
const int channels_col = ksize_h * ksize_w * inc;
for (int c = 0; c < channels_col; ++c)
{
const int kw = c % ksize_w;
int c_ = c / ksize_w;
const int kh = c_ % ksize_h;
c_ = c_ / ksize_h;
const int im_col = kw * dw - pw;
const int w_low = max(0, -im_col / sw + (-im_col % sw > 0));
const int w_high = min(outw, (inw - im_col) / sw + ((inw - im_col) % sw > 0));
for (int h = 0; h < outh; ++h)
{
const int im_row = kh * dh + h * sh - ph;
float* out = data_col + (c * outh + h) * outw;
const float* end = out + w_high;
if (im_row >= 0 && im_row < inh)
{
float* in = data_img + inw * (im_row + inh * c_) + im_col + (w_low - 1) * sw;
memset(out, 0, w_low * sizeof(float));
out += w_low;
while (out < end)
{
in += sw;
*(out++) = *in;
}
memset(out, 0, (outw - w_high) * sizeof(float));
}
else
{
memset(out, 0, outw * sizeof(float));
}
}
}
}
static void im2col_ir(struct tensor* input, struct tensor* output, struct conv_priv_info* priv_info,
struct conv_param* param, int n, int group)
{
int input_chan = param->input_channel / param->group;
int image_size = input->dims[1] * input->dims[2] * input->dims[3];
int group_size = input_chan * input->dims[2] * input->dims[3];
void* input_base = input->data + (n * image_size + group * group_size) * input->elem_size;
void* im2col_buf = priv_info->im2col_buffer;
int input_zero = 0;
if (input->data_type == TENGINE_DT_UINT8)
input_zero = input->zero_point;
im2col(input_base, im2col_buf, input->dims[2], input->dims[3], input_chan, output->dims[2], output->dims[3],
output->dims[1] / param->group, param->kernel_h, param->kernel_w, param->stride_h, param->stride_w,
param->pad_h0, param->pad_w0, param->dilation_h, param->dilation_w);
}
void input_pack4(int K, int N, float* pB, float* pB_t, int num_thread)
{
int nn_size = N >> 2;
int remian_size_start = nn_size << 2;
// [ch00, ch10, ch20, ch30, ch01, ch11, ch21, ch31, ch02, ch12, ch22, ch32, ch03, ch13, ch23, ch33 ....]
#pragma omp parallel for num_threads(num_thread)
for (int ii = 0; ii < nn_size; ii++)
{
int i = ii * 4;
const float* img = pB + i;
float* tmp = pB_t + (i / 4) * 4 * K;
for (int j = 0; j < K; j++)
{
#if __mips_msa
__msa_st_w(__msa_ld_w(img, 0), tmp, 0);
#else
tmp[0] = img[0];
tmp[1] = img[1];
tmp[2] = img[2];
tmp[3] = img[3];
#endif // __mips_msa
tmp += 4;
img += N;
}
}
// [ch00, ch01, ch02, ch03 ....]
#pragma omp parallel for num_threads(num_thread)
for (int i = remian_size_start; i < N; i++)
{
const float* img = pB + i;
float* tmp = pB_t + (i / 4 + i % 4) * 4 * K;
for (int j = 0; j < K; j++)
{
tmp[0] = img[0];
tmp += 1;
img += N;
}
}
}
// unloop output M, unloop N, packet 4x4, using intrinsic
static void sgemm(int M, int N, int K, float* pA_t, float* pB_t, float* pC, int num_thread)
{
int nn_outch = 0;
int remain_outch_start = 0;
nn_outch = M >> 2;
remain_outch_start = nn_outch << 2;
// output ch0 - ch3
#pragma omp parallel for num_threads(num_thread)
for (int pp=0; pp<nn_outch; pp++)
{
int i = pp * 4;
float* output0 = pC + ( i )*N;
float* output1 = pC + (i + 1) * N;
float* output2 = pC + (i + 2) * N;
float* output3 = pC + (i + 3) * N;
int j = 0;
for (; j + 3 < N; j += 4)
{
float* va = pA_t + (i / 4) * 4 * K;
float* vb = pB_t + (j / 4) * 4 * K;
#if __mips_msa
v4f32 _sum0 = {0.f};
v4f32 _sum1 = {0.f};
v4f32 _sum2 = {0.f};
v4f32 _sum3 = {0.f};
for (int k = 0; k < K; k++)
{
// k0
__builtin_prefetch(vb + 32);
__builtin_prefetch(va + 32);
v4f32 _vb = (v4f32)__msa_ld_w(vb, 0);
v4i32 _va0123 = __msa_ld_w(va, 0);
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_vb, (v4f32)__msa_splati_w(_va0123, 0))); // sum0 = (a00-a03) * k00
_sum1 = __msa_fadd_w(_sum1, __msa_fmul_w(_vb, (v4f32)__msa_splati_w(_va0123, 1))); // sum1 = (a00-a03) * k10
_sum2 = __msa_fadd_w(_sum2, __msa_fmul_w(_vb, (v4f32)__msa_splati_w(_va0123, 2))); // sum2 = (a00-a03) * k20
_sum3 = __msa_fadd_w(_sum3, __msa_fmul_w(_vb, (v4f32)__msa_splati_w(_va0123, 3))); // sum3 = (a00-a03) * k30
va += 4;
vb += 4;
}
__msa_st_w((v4i32)_sum0, output0, 0);
__msa_st_w((v4i32)_sum1, output1, 0);
__msa_st_w((v4i32)_sum2, output2, 0);
__msa_st_w((v4i32)_sum3, output3, 0);
#else
float sum0[4] = {0};
float sum1[4] = {0};
float sum2[4] = {0};
float sum3[4] = {0};
for (int k = 0; k < K; k++)
{
for (int n = 0; n < 4; n++)
{
sum0[n] += va[0] * vb[n];
sum1[n] += va[1] * vb[n];
sum2[n] += va[2] * vb[n];
sum3[n] += va[3] * vb[n];
}
va += 4;
vb += 4;
}
for (int n = 0; n < 4; n++)
{
output0[n] = sum0[n];
output1[n] = sum1[n];
output2[n] = sum2[n];
output3[n] = sum3[n];
}
#endif // __mips_msa
output0 += 4;
output1 += 4;
output2 += 4;
output3 += 4;
}
for (; j < N; j++)
{
float* va = pA_t + (i / 4) * 4 * K;
float* vb = pB_t + (j / 4 + j % 4) * 4 * K;
#if __mips_msa
v4f32 _sum0_3 = {0.f};
v4f32 _sum0 = {0.f};
v4f32 _sum1 = {0.f};
v4f32 _sum2 = {0.f};
v4f32 _sum3 = {0.f};
int k = 0;
for (; k + 3 < K; k = k + 4)
{
__builtin_prefetch(vb + 32);
__builtin_prefetch(va + 128);
v4i32 _vb0123 = __msa_ld_w(vb, 0);
v4f32 _va0 = (v4f32)__msa_ld_w(va, 0);
v4f32 _va1 = (v4f32)__msa_ld_w(va + 4, 0);
v4f32 _va2 = (v4f32)__msa_ld_w(va + 8, 0);
v4f32 _va3 = (v4f32)__msa_ld_w(va + 12, 0);
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_va0, (v4f32)__msa_splati_w(_vb0123, 0))); // sum0 += (k00-k30) * a00
_sum1 = __msa_fadd_w(_sum1, __msa_fmul_w(_va1, (v4f32)__msa_splati_w(_vb0123, 1))); // sum1 += (k01-k31) * a10
_sum2 = __msa_fadd_w(_sum2, __msa_fmul_w(_va2, (v4f32)__msa_splati_w(_vb0123, 2))); // sum2 += (k02-k32) * a20
_sum3 = __msa_fadd_w(_sum3, __msa_fmul_w(_va3, (v4f32)__msa_splati_w(_vb0123, 3))); // sum3 += (k03-k33) * a30
va += 16;
vb += 4;
}
_sum0 = __msa_fadd_w(_sum0, _sum1);
_sum2 = __msa_fadd_w(_sum2, _sum3);
_sum0_3 = __msa_fadd_w(_sum2, _sum0);
// _sum0_3 = __msa_fadd_w(_sum0_3, _sum2);
for (; k < K; k++)
{
v4f32 _vb0 = {vb[0], vb[0], vb[0], vb[0]};
v4f32 _va = (v4f32)__msa_ld_w(va, 0);
_sum0_3 = __msa_fadd_w(_sum0_3, __msa_fmul_w(_va, _vb0)); // sum0 += (k00-k30) * a00
va += 4;
vb += 1;
}
output0[0] = _sum0_3[0];
output1[0] = _sum0_3[1];
output2[0] = _sum0_3[2];
output3[0] = _sum0_3[3];
#else
float sum0 = 0;
float sum1 = 0;
float sum2 = 0;
float sum3 = 0;
for (int k = 0; k < K; k++)
{
sum0 += va[0] * vb[0];
sum1 += va[1] * vb[0];
sum2 += va[2] * vb[0];
sum3 += va[3] * vb[0];
va += 4;
vb += 1;
}
output0[0] = sum0;
output1[0] = sum1;
output2[0] = sum2;
output3[0] = sum3;
#endif // __mips_msa
output0++;
output1++;
output2++;
output3++;
}
}
// output ch0
#pragma omp parallel for num_threads(num_thread)
for (int i=remain_outch_start; i<M; i++)
{
float* output = pC + i * N;
int j = 0;
for (; j + 3 < N; j += 4)
{
float* va = pA_t + (i / 4 + i % 4) * 4 * K;
float* vb = pB_t + (j / 4) * 4 * K;
#if __mips_msa
v4f32 _sum0 = {0.f};
int k = 0;
for (; k + 3 < K; k = k + 4)
{
// k0
__builtin_prefetch(va + 32);
__builtin_prefetch(vb + 128);
v4i32 _va0123 = __msa_ld_w(va, 0);
v4f32 _vb0 = (v4f32)__msa_ld_w(vb, 0);
v4f32 _vb1 = (v4f32)__msa_ld_w(vb + 4, 0);
v4f32 _vb2 = (v4f32)__msa_ld_w(vb + 8, 0);
v4f32 _vb3 = (v4f32)__msa_ld_w(vb + 12, 0);
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_vb0, (v4f32)__msa_splati_w(_va0123, 0))); // sum0 = (a00-a03) * k00
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_vb1, (v4f32)__msa_splati_w(_va0123, 1))); // sum0 += (a10-a13) * k01
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_vb2, (v4f32)__msa_splati_w(_va0123, 2))); // sum0 += (a20-a23) * k02
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_vb3, (v4f32)__msa_splati_w(_va0123, 3))); // sum0 += (a30-a33) * k03
va += 4;
vb += 16;
}
for (; k < K; k++)
{
// k0
v4f32 _va0 = {va[0]};
v4f32 _vb0 = (v4f32)__msa_ld_w(vb, 0);
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_vb0, _va0)); // sum0 = (a00-a03) * k00
va += 1;
vb += 4;
}
__msa_st_w((v4i32)_sum0, output, 0);
#else
float sum[4] = {0};
for (int k = 0; k < K; k++)
{
for (int n = 0; n < 4; n++)
{
sum[n] += va[0] * vb[n];
}
va += 1;
vb += 4;
}
for (int n = 0; n < 4; n++)
{
output[n] = sum[n];
}
#endif // __mips_msa
output += 4;
}
for (; j < N; j++)
{
float* va = pA_t + (i / 4 + i % 4) * 4 * K;
float* vb = pB_t + (j / 4 + j % 4) * 4 * K;
int k = 0;
#if __mips_msa
v4f32 _sum0 = {0.f};
for (; k + 3 < K; k += 4)
{
__builtin_prefetch(vb + 32);
__builtin_prefetch(va + 32);
v4f32 _p0 = (v4f32)__msa_ld_w(vb, 0);
v4f32 _k0 = (v4f32)__msa_ld_w(va, 0);
_sum0 = __msa_fadd_w(_sum0, __msa_fmul_w(_p0, _k0));
va += 4;
vb += 4;
}
float sum0 = _sum0[0] + _sum0[1] + _sum0[2] + _sum0[3];
#else
float sum0 = 0.f;
#endif // __mips_msa
for (; k < K; k++)
{
sum0 += va[0] * vb[0];
va += 1;
vb += 1;
}
output[0] = sum0;
output++;
}
}
}
static void sgemm_fp32(struct tensor* input, struct tensor* filter, struct tensor* bias,
struct tensor* output, struct conv_priv_info* priv_info, struct conv_param* param, int n,
int group, int num_thread)
{
int kernel_size = param->kernel_h * param->kernel_w * param->input_channel / param->group;
int outchan_g = param->output_channel / param->group;
int out_h = output->dims[2];
int out_w = output->dims[3];
int out_image_size = output->dims[1] * output->dims[2] * output->dims[3];
float* interleave_fp32 = ( float* )priv_info->interleave_buffer_pack4 + outchan_g * group * kernel_size;
float* im2col_pack4_fp32 = priv_info->im2col_buffer_pack4;
float* output_fp32 = ( float* )output->data + n * out_image_size + outchan_g * group * out_h * out_w;
float* bias_fp32 = NULL;
if (bias)
bias_fp32 = ( float* )bias->data + outchan_g * group;
float* filter_sgemm = interleave_fp32;
float* input_sgemm_pack4 = im2col_pack4_fp32;
float* output_sgemm = output_fp32;
sgemm(outchan_g, out_h * out_w, kernel_size, filter_sgemm, input_sgemm_pack4, output_sgemm, num_thread);
// process bias
if (bias)
{
for (int i = 0; i < outchan_g; i++)
{
for (int j = 0; j < out_h * out_w; j++)
{
int output_off = i * (out_h * out_w) + j;
output_fp32[output_off] += bias_fp32[i];
}
}
}
// process activation relu
if (param->activation == 0)
{
for (int i = 0; i < outchan_g; i++)
{
for (int j = 0; j < out_h * out_w; j++)
{
int output_off = i * (out_h * out_w) + j;
if (output_fp32[output_off] < 0)
output_fp32[output_off] = 0;
}
}
}
// process activation relu6
if (param->activation > 0)
{
for (int i = 0; i < outchan_g; i++)
{
for (int j = 0; j < out_h * out_w; j++)
{
int output_off = i * (out_h * out_w) + j;
if (output_fp32[output_off] < 0)
output_fp32[output_off] = 0;
if (output_fp32[output_off] > 6)
output_fp32[output_off] = 6;
}
}
}
}
/* check the conv wheather need to be using winograd */
static int winograd_support(struct conv_param* param, int in_h, int in_w)
{
int kernel_h = param->kernel_h;
int kernel_w = param->kernel_w;
int stride_h = param->stride_h;
int stride_w = param->stride_w;
int dilation_h = param->dilation_h;
int dilation_w = param->dilation_w;
int input_chan = param->input_channel;
int output_chan = param->output_channel;
int group = param->group;
if (in_h <= 10 && in_w <= 10)
return 0;
if (group != 1 || kernel_h != 3 || kernel_w != 3 || stride_h != 1 || stride_w != 1 || dilation_h != 1 ||
dilation_w != 1 || input_chan < 16 || output_chan < 16)
return 0;
return 1;
}
int conv_hcl_get_shared_mem_size(struct tensor* input, struct tensor* output, struct conv_param* param)
{
int group = param->group;
int input_chan = param->input_channel / group;
int kernel_size = input_chan * param->kernel_h * param->kernel_w;
int output_xy = output->dims[2] * output->dims[3];
int elem_size = input->elem_size;
return elem_size * output_xy * kernel_size;
}
int conv_hcl_get_shared_pack4_mem_size(struct tensor* filter, struct tensor* output, struct conv_param* param)
{
int K = filter->elem_num / filter->dims[0];
int N = output->dims[2] * output->dims[3];
int elem_size = filter->elem_size;
return (4 * K * (N / 4 + N % 4)) * elem_size;
}
int conv_hcl_get_interleave_pack4_size(int M, int K, struct tensor* filter)
{
int size = 4 * K * (M / 4 + M % 4) * filter->elem_size;
return size;
}
void conv_hcl_interleave_pack4(int M, int K, struct conv_priv_info* priv_info)
{
float* pA = ( float* )priv_info->interleave_buffer;
float* pA_t = ( float* )priv_info->interleave_buffer_pack4;
int nn_outch = M >> 2;
int remain_outch_start = nn_outch << 2;
for (int pp = 0; pp < nn_outch; pp++)
{
int p = pp * 4;
const float* k0 = pA + (p + 0) * K;
const float* k1 = pA + (p + 1) * K;
const float* k2 = pA + (p + 2) * K;
const float* k3 = pA + (p + 3) * K;
float* ktmp = pA_t + (p / 4) * 4 * K;
for (int q = 0; q < K; q++)
{
ktmp[0] = k0[0];
ktmp[1] = k1[0];
ktmp[2] = k2[0];
ktmp[3] = k3[0];
ktmp += 4;
k0 += 1;
k1 += 1;
k2 += 1;
k3 += 1;
}
}
for (int p = remain_outch_start; p < M; p++)
{
const float* k0 = pA + (p + 0) * K;
float* ktmp = pA_t + (p / 4 + p % 4) * 4 * K;
for (int q = 0; q < K; q++)
{
ktmp[0] = k0[0];
ktmp++;
k0++;
}
}
}
int conv_hcl_prerun(struct tensor* input_tensor, struct tensor* filter_tensor, struct tensor* output_tensor,
struct conv_priv_info* priv_info, struct conv_param* param)
{
int in_h = input_tensor->dims[2];
int in_w = input_tensor->dims[3];
/* check winograd implement, only for conv3x3s1 */
priv_info->winograd = winograd_support(param, in_h, in_w);
if (priv_info->winograd)
{
return wino_conv_hcl_prerun(input_tensor, filter_tensor, output_tensor, priv_info, param);
}
if (!priv_info->external_im2col_mem)
{
int mem_size = conv_hcl_get_shared_mem_size(input_tensor, output_tensor, param);
void* mem = sys_malloc(mem_size);
priv_info->im2col_buffer = mem;
priv_info->im2col_buffer_size = mem_size;
}
if (!priv_info->external_im2col_pack4_mem)
{
int mem_size = conv_hcl_get_shared_pack4_mem_size(filter_tensor, output_tensor, param);
void* mem = sys_malloc(mem_size);
priv_info->im2col_buffer_pack4 = mem;
priv_info->im2col_buffer_pack4_size = mem_size;
}
if (!priv_info->external_interleave_mem)
{
int mem_size = get_private_mem_size(filter_tensor);
void* mem = sys_malloc(mem_size);
priv_info->interleave_buffer = mem;
priv_info->interleave_buffer_size = mem_size;
}
interleave(filter_tensor, priv_info);
if (priv_info->external_interleave_pack4_mem)
{
int M = filter_tensor->dims[0];
int K = filter_tensor->elem_num / filter_tensor->dims[0];
int mem_size = conv_hcl_get_interleave_pack4_size(M, K, filter_tensor);
void* mem = sys_malloc(mem_size);
priv_info->interleave_buffer_pack4 = mem;
priv_info->interleave_buffer_pack4_size = mem_size;
conv_hcl_interleave_pack4(M, K, priv_info);
if (!priv_info->external_interleave_mem && priv_info->interleave_buffer)
{
sys_free(priv_info->interleave_buffer);
priv_info->interleave_buffer = NULL;
}
}
return 0;
}
int conv_hcl_postrun(struct conv_priv_info* priv_info)
{
if (priv_info->winograd)
{
return wino_conv_hcl_postrun(priv_info);
}
if (priv_info->external_interleave_pack4_mem && !priv_info->external_interleave_mem &&
priv_info->interleave_buffer != NULL)
{
sys_free(priv_info->interleave_buffer_pack4);
priv_info->interleave_buffer_pack4 = NULL;
}
if (!priv_info->external_im2col_mem && priv_info->im2col_buffer != NULL)
{
sys_free(priv_info->im2col_buffer);
priv_info->im2col_buffer = NULL;
}
if (!priv_info->external_im2col_pack4_mem && priv_info->im2col_buffer_pack4 != NULL)
{
sys_free(priv_info->im2col_buffer_pack4);
priv_info->im2col_buffer_pack4 = NULL;
}
if (priv_info->external_interleave_pack4_mem && priv_info->interleave_buffer_pack4 != NULL)
{
sys_free(priv_info->interleave_buffer_pack4);
priv_info->interleave_buffer_pack4 = NULL;
}
return 0;
}
int conv_hcl_run(struct tensor* input_tensor, struct tensor* filter_tensor, struct tensor* bias_tensor,
struct tensor* output_tensor, struct conv_priv_info* priv_info, struct conv_param* param,
int num_thread, int cpu_affinity)
{
int group = param->group;
int type = input_tensor->data_type;
if (priv_info->winograd)
{
return wino_conv_hcl_run(input_tensor, filter_tensor, bias_tensor, output_tensor, priv_info, param, num_thread,
cpu_affinity);
}
for (int i = 0; i < input_tensor->dims[0]; i++) // batch size
{
for (int j = 0; j < group; j++)
{
im2col_ir(input_tensor, output_tensor, priv_info, param, i, j);
int K = filter_tensor->elem_num / filter_tensor->dims[0];
int N = output_tensor->dims[2] * output_tensor->dims[3];
float* im2col_fp32 = priv_info->im2col_buffer;
float* im2col_pack4_fp32 = priv_info->im2col_buffer_pack4;
input_pack4(K, N, im2col_fp32, im2col_pack4_fp32, num_thread);
if (type == TENGINE_DT_FP32)
sgemm_fp32(input_tensor, filter_tensor, bias_tensor, output_tensor, priv_info, param, i, j, num_thread);
}
}
return 0;
}
int conv_hcl_set_shared_mem(struct conv_priv_info* priv_info, void* mem, int mem_size)
{
priv_info->external_im2col_mem = 1;
priv_info->im2col_buffer = mem;
priv_info->im2col_buffer_size = mem_size;
return 0;
}
int conv_hcl_set_shared_pack4_mem(struct conv_priv_info* priv_info, void* mem, int mem_size)
{
priv_info->external_im2col_pack4_mem = 1;
priv_info->im2col_buffer_pack4 = mem;
priv_info->im2col_buffer_pack4_size = mem_size;
return 0;
}
|
resize.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% RRRR EEEEE SSSSS IIIII ZZZZZ EEEEE %
% R R E SS I ZZ E %
% RRRR EEE SSS I ZZZ EEE %
% R R E SS I ZZ E %
% R R EEEEE SSSSS IIIII ZZZZZ EEEEE %
% %
% %
% MagickCore Image Resize Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/accelerate-private.h"
#include "MagickCore/artifact.h"
#include "MagickCore/blob.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/draw.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/gem.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/magick.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/property.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/nt-base-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resample.h"
#include "MagickCore/resample-private.h"
#include "MagickCore/resize.h"
#include "MagickCore/resize-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/token.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
#include "MagickCore/version.h"
#if defined(MAGICKCORE_LQR_DELEGATE)
#include <lqr.h>
#endif
/*
Typedef declarations.
*/
struct _ResizeFilter
{
double
(*filter)(const double,const ResizeFilter *),
(*window)(const double,const ResizeFilter *),
support, /* filter region of support - the filter support limit */
window_support, /* window support, usally equal to support (expert only) */
scale, /* dimension scaling to fit window support (usally 1.0) */
blur, /* x-scale (blur-sharpen) */
coefficient[7]; /* cubic coefficents for BC-cubic filters */
ResizeWeightingFunctionType
filterWeightingType,
windowWeightingType;
size_t
signature;
};
/*
Forward declaractions.
*/
static double
I0(double x),
BesselOrderOne(double),
Sinc(const double, const ResizeFilter *),
SincFast(const double, const ResizeFilter *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ F i l t e r F u n c t i o n s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% These are the various filter and windowing functions that are provided.
%
% They are internal to this module only. See AcquireResizeFilterInfo() for
% details of the access to these functions, via the GetResizeFilterSupport()
% and GetResizeFilterWeight() API interface.
%
% The individual filter functions have this format...
%
% static MagickRealtype *FilterName(const double x,const double support)
%
% A description of each parameter follows:
%
% o x: the distance from the sampling point generally in the range of 0 to
% support. The GetResizeFilterWeight() ensures this a positive value.
%
% o resize_filter: current filter information. This allows function to
% access support, and possibly other pre-calculated information defining
% the functions.
%
*/
static double Blackman(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Blackman: 2nd order cosine windowing function:
0.42 + 0.5 cos(pi x) + 0.08 cos(2pi x)
Refactored by Chantal Racette and Nicolas Robidoux to one trig call and
five flops.
*/
const double cosine = cos((double) (MagickPI*x));
magick_unreferenced(resize_filter);
return(0.34+cosine*(0.5+cosine*0.16));
}
static double Bohman(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Bohman: 2rd Order cosine windowing function:
(1-x) cos(pi x) + sin(pi x) / pi.
Refactored by Nicolas Robidoux to one trig call, one sqrt call, and 7 flops,
taking advantage of the fact that the support of Bohman is 1.0 (so that we
know that sin(pi x) >= 0).
*/
const double cosine = cos((double) (MagickPI*x));
const double sine=sqrt(1.0-cosine*cosine);
magick_unreferenced(resize_filter);
return((1.0-x)*cosine+(1.0/MagickPI)*sine);
}
static double Box(const double magick_unused(x),
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(x);
magick_unreferenced(resize_filter);
/*
A Box filter is a equal weighting function (all weights equal).
DO NOT LIMIT results by support or resize point sampling will work
as it requests points beyond its normal 0.0 support size.
*/
return(1.0);
}
static double Cosine(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Cosine window function:
cos((pi/2)*x).
*/
return(cos((double) (MagickPI2*x)));
}
static double CubicBC(const double x,const ResizeFilter *resize_filter)
{
/*
Cubic Filters using B,C determined values:
Mitchell-Netravali B = 1/3 C = 1/3 "Balanced" cubic spline filter
Catmull-Rom B = 0 C = 1/2 Interpolatory and exact on linears
Spline B = 1 C = 0 B-Spline Gaussian approximation
Hermite B = 0 C = 0 B-Spline interpolator
See paper by Mitchell and Netravali, Reconstruction Filters in Computer
Graphics Computer Graphics, Volume 22, Number 4, August 1988
http://www.cs.utexas.edu/users/fussell/courses/cs384g/lectures/mitchell/
Mitchell.pdf.
Coefficents are determined from B,C values:
P0 = ( 6 - 2*B )/6 = coeff[0]
P1 = 0
P2 = (-18 +12*B + 6*C )/6 = coeff[1]
P3 = ( 12 - 9*B - 6*C )/6 = coeff[2]
Q0 = ( 8*B +24*C )/6 = coeff[3]
Q1 = ( -12*B -48*C )/6 = coeff[4]
Q2 = ( 6*B +30*C )/6 = coeff[5]
Q3 = ( - 1*B - 6*C )/6 = coeff[6]
which are used to define the filter:
P0 + P1*x + P2*x^2 + P3*x^3 0 <= x < 1
Q0 + Q1*x + Q2*x^2 + Q3*x^3 1 <= x < 2
which ensures function is continuous in value and derivative (slope).
*/
if (x < 1.0)
return(resize_filter->coefficient[0]+x*(x*
(resize_filter->coefficient[1]+x*resize_filter->coefficient[2])));
if (x < 2.0)
return(resize_filter->coefficient[3]+x*(resize_filter->coefficient[4]+x*
(resize_filter->coefficient[5]+x*resize_filter->coefficient[6])));
return(0.0);
}
static double CubicSpline(const double x,const ResizeFilter *resize_filter)
{
if (resize_filter->support <= 2.0)
{
/*
2-lobe Spline filter.
*/
if (x < 1.0)
return(((x-9.0/5.0)*x-1.0/5.0)*x+1.0);
if (x < 2.0)
return(((-1.0/3.0*(x-1.0)+4.0/5.0)*(x-1.0)-7.0/15.0)*(x-1.0));
return(0.0);
}
if (resize_filter->support <= 3.0)
{
/*
3-lobe Spline filter.
*/
if (x < 1.0)
return(((13.0/11.0*x-453.0/209.0)*x-3.0/209.0)*x+1.0);
if (x < 2.0)
return(((-6.0/11.0*(x-1.0)+270.0/209.0)*(x-1.0)-156.0/209.0)*(x-1.0));
if (x < 3.0)
return(((1.0/11.0*(x-2.0)-45.0/209.0)*(x-2.0)+26.0/209.0)*(x-2.0));
return(0.0);
}
/*
4-lobe Spline filter.
*/
if (x < 1.0)
return(((49.0/41.0*x-6387.0/2911.0)*x-3.0/2911.0)*x+1.0);
if (x < 2.0)
return(((-24.0/41.0*(x-1.0)+4032.0/2911.0)*(x-1.0)-2328.0/2911.0)*(x-1.0));
if (x < 3.0)
return(((6.0/41.0*(x-2.0)-1008.0/2911.0)*(x-2.0)+582.0/2911.0)*(x-2.0));
if (x < 4.0)
return(((-1.0/41.0*(x-3.0)+168.0/2911.0)*(x-3.0)-97.0/2911.0)*(x-3.0));
return(0.0);
}
static double Gaussian(const double x,const ResizeFilter *resize_filter)
{
/*
Gaussian with a sigma = 1/2 (or as user specified)
Gaussian Formula (1D) ...
exp( -(x^2)/((2.0*sigma^2) ) / (sqrt(2*PI)*sigma^2))
Gaussian Formula (2D) ...
exp( -(x^2+y^2)/(2.0*sigma^2) ) / (PI*sigma^2) )
or for radius
exp( -(r^2)/(2.0*sigma^2) ) / (PI*sigma^2) )
Note that it is only a change from 1-d to radial form is in the
normalization multiplier which is not needed or used when Gaussian is used
as a filter.
The constants are pre-calculated...
coeff[0]=sigma;
coeff[1]=1.0/(2.0*sigma^2);
coeff[2]=1.0/(sqrt(2*PI)*sigma^2);
exp( -coeff[1]*(x^2)) ) * coeff[2];
However the multiplier coeff[1] is need, the others are informative only.
This separates the gaussian 'sigma' value from the 'blur/support'
settings allowing for its use in special 'small sigma' gaussians,
without the filter 'missing' pixels because the support becomes too
small.
*/
return(exp((double)(-resize_filter->coefficient[1]*x*x)));
}
static double Hann(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Cosine window function:
0.5+0.5*cos(pi*x).
*/
const double cosine = cos((double) (MagickPI*x));
magick_unreferenced(resize_filter);
return(0.5+0.5*cosine);
}
static double Hamming(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
/*
Offset cosine window function:
.54 + .46 cos(pi x).
*/
const double cosine = cos((double) (MagickPI*x));
magick_unreferenced(resize_filter);
return(0.54+0.46*cosine);
}
static double Jinc(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
See Pratt "Digital Image Processing" p.97 for Jinc/Bessel functions.
http://mathworld.wolfram.com/JincFunction.html and page 11 of
http://www.ph.ed.ac.uk/%7ewjh/teaching/mo/slides/lens/lens.pdf
The original "zoom" program by Paul Heckbert called this "Bessel". But
really it is more accurately named "Jinc".
*/
if (x == 0.0)
return(0.5*MagickPI);
return(BesselOrderOne(MagickPI*x)/x);
}
static double Kaiser(const double x,const ResizeFilter *resize_filter)
{
/*
Kaiser Windowing Function (bessel windowing)
I0( beta * sqrt( 1-x^2) ) / IO(0)
Beta (coeff[0]) is a free value from 5 to 8 (defaults to 6.5).
However it is typically defined in terms of Alpha*PI
The normalization factor (coeff[1]) is not actually needed,
but without it the filters has a large value at x=0 making it
difficult to compare the function with other windowing functions.
*/
return(resize_filter->coefficient[1]*I0(resize_filter->coefficient[0]*
sqrt((double) (1.0-x*x))));
}
static double Lagrange(const double x,const ResizeFilter *resize_filter)
{
double
value;
ssize_t
i;
ssize_t
n,
order;
/*
Lagrange piecewise polynomial fit of sinc: N is the 'order' of the lagrange
function and depends on the overall support window size of the filter. That
is: for a support of 2, it gives a lagrange-4 (piecewise cubic function).
"n" identifies the piece of the piecewise polynomial.
See Survey: Interpolation Methods, IEEE Transactions on Medical Imaging,
Vol 18, No 11, November 1999, p1049-1075, -- Equation 27 on p1064.
*/
if (x > resize_filter->support)
return(0.0);
order=(ssize_t) (2.0*resize_filter->window_support); /* number of pieces */
n=(ssize_t) (resize_filter->window_support+x);
value=1.0f;
for (i=0; i < order; i++)
if (i != n)
value*=(n-i-x)/(n-i);
return(value);
}
static double Quadratic(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
2rd order (quadratic) B-Spline approximation of Gaussian.
*/
if (x < 0.5)
return(0.75-x*x);
if (x < 1.5)
return(0.5*(x-1.5)*(x-1.5));
return(0.0);
}
static double Sinc(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Scaled sinc(x) function using a trig call:
sinc(x) == sin(pi x)/(pi x).
*/
if (x != 0.0)
{
const double alpha=(double) (MagickPI*x);
return(sin((double) alpha)/alpha);
}
return((double) 1.0);
}
static double SincFast(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Approximations of the sinc function sin(pi x)/(pi x) over the interval
[-4,4] constructed by Nicolas Robidoux and Chantal Racette with funding
from the Natural Sciences and Engineering Research Council of Canada.
Although the approximations are polynomials (for low order of
approximation) and quotients of polynomials (for higher order of
approximation) and consequently are similar in form to Taylor polynomials /
Pade approximants, the approximations are computed with a completely
different technique.
Summary: These approximations are "the best" in terms of bang (accuracy)
for the buck (flops). More specifically: Among the polynomial quotients
that can be computed using a fixed number of flops (with a given "+ - * /
budget"), the chosen polynomial quotient is the one closest to the
approximated function with respect to maximum absolute relative error over
the given interval.
The Remez algorithm, as implemented in the boost library's minimax package,
is the key to the construction: http://www.boost.org/doc/libs/1_36_0/libs/
math/doc/sf_and_dist/html/math_toolkit/backgrounders/remez.html
If outside of the interval of approximation, use the standard trig formula.
*/
if (x > 4.0)
{
const double alpha=(double) (MagickPI*x);
return(sin((double) alpha)/alpha);
}
{
/*
The approximations only depend on x^2 (sinc is an even function).
*/
const double xx = x*x;
#if MAGICKCORE_QUANTUM_DEPTH <= 8
/*
Maximum absolute relative error 6.3e-6 < 1/2^17.
*/
const double c0 = 0.173610016489197553621906385078711564924e-2L;
const double c1 = -0.384186115075660162081071290162149315834e-3L;
const double c2 = 0.393684603287860108352720146121813443561e-4L;
const double c3 = -0.248947210682259168029030370205389323899e-5L;
const double c4 = 0.107791837839662283066379987646635416692e-6L;
const double c5 = -0.324874073895735800961260474028013982211e-8L;
const double c6 = 0.628155216606695311524920882748052490116e-10L;
const double c7 = -0.586110644039348333520104379959307242711e-12L;
const double p =
c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*c7))))));
return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)*p);
#elif MAGICKCORE_QUANTUM_DEPTH <= 16
/*
Max. abs. rel. error 2.2e-8 < 1/2^25.
*/
const double c0 = 0.173611107357320220183368594093166520811e-2L;
const double c1 = -0.384240921114946632192116762889211361285e-3L;
const double c2 = 0.394201182359318128221229891724947048771e-4L;
const double c3 = -0.250963301609117217660068889165550534856e-5L;
const double c4 = 0.111902032818095784414237782071368805120e-6L;
const double c5 = -0.372895101408779549368465614321137048875e-8L;
const double c6 = 0.957694196677572570319816780188718518330e-10L;
const double c7 = -0.187208577776590710853865174371617338991e-11L;
const double c8 = 0.253524321426864752676094495396308636823e-13L;
const double c9 = -0.177084805010701112639035485248501049364e-15L;
const double p =
c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*(c7+xx*(c8+xx*c9))))))));
return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)*p);
#else
/*
Max. abs. rel. error 1.2e-12 < 1/2^39.
*/
const double c0 = 0.173611111110910715186413700076827593074e-2L;
const double c1 = -0.289105544717893415815859968653611245425e-3L;
const double c2 = 0.206952161241815727624413291940849294025e-4L;
const double c3 = -0.834446180169727178193268528095341741698e-6L;
const double c4 = 0.207010104171026718629622453275917944941e-7L;
const double c5 = -0.319724784938507108101517564300855542655e-9L;
const double c6 = 0.288101675249103266147006509214934493930e-11L;
const double c7 = -0.118218971804934245819960233886876537953e-13L;
const double p =
c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*c7))))));
const double d0 = 1.0L;
const double d1 = 0.547981619622284827495856984100563583948e-1L;
const double d2 = 0.134226268835357312626304688047086921806e-2L;
const double d3 = 0.178994697503371051002463656833597608689e-4L;
const double d4 = 0.114633394140438168641246022557689759090e-6L;
const double q = d0+xx*(d1+xx*(d2+xx*(d3+xx*d4)));
return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)/q*p);
#endif
}
}
static double Triangle(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
1st order (linear) B-Spline, bilinear interpolation, Tent 1D filter, or
a Bartlett 2D Cone filter. Also used as a Bartlett Windowing function
for Sinc().
*/
if (x < 1.0)
return(1.0-x);
return(0.0);
}
static double Welch(const double x,
const ResizeFilter *magick_unused(resize_filter))
{
magick_unreferenced(resize_filter);
/*
Welch parabolic windowing filter.
*/
if (x < 1.0)
return(1.0-x*x);
return(0.0);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A c q u i r e R e s i z e F i l t e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireResizeFilter() allocates the ResizeFilter structure. Choose from
% these filters:
%
% FIR (Finite impulse Response) Filters
% Box Triangle Quadratic
% Spline Hermite Catrom
% Mitchell
%
% IIR (Infinite impulse Response) Filters
% Gaussian Sinc Jinc (Bessel)
%
% Windowed Sinc/Jinc Filters
% Blackman Bohman Lanczos
% Hann Hamming Cosine
% Kaiser Welch Parzen
% Bartlett
%
% Special Purpose Filters
% Cubic SincFast LanczosSharp Lanczos2 Lanczos2Sharp
% Robidoux RobidouxSharp
%
% The users "-filter" selection is used to lookup the default 'expert'
% settings for that filter from a internal table. However any provided
% 'expert' settings (see below) may override this selection.
%
% FIR filters are used as is, and are limited to that filters support window
% (unless over-ridden). 'Gaussian' while classed as an IIR filter, is also
% simply clipped by its support size (currently 1.5 or approximately 3*sigma
% as recommended by many references)
%
% The special a 'cylindrical' filter flag will promote the default 4-lobed
% Windowed Sinc filter to a 3-lobed Windowed Jinc equivalent, which is better
% suited to this style of image resampling. This typically happens when using
% such a filter for images distortions.
%
% SPECIFIC FILTERS:
%
% Directly requesting 'Sinc', 'Jinc' function as a filter will force the use
% of function without any windowing, or promotion for cylindrical usage. This
% is not recommended, except by image processing experts, especially as part
% of expert option filter function selection.
%
% Two forms of the 'Sinc' function are available: Sinc and SincFast. Sinc is
% computed using the traditional sin(pi*x)/(pi*x); it is selected if the user
% specifically specifies the use of a Sinc filter. SincFast uses highly
% accurate (and fast) polynomial (low Q) and rational (high Q) approximations,
% and will be used by default in most cases.
%
% The Lanczos filter is a special 3-lobed Sinc-windowed Sinc filter (promoted
% to Jinc-windowed Jinc for cylindrical (Elliptical Weighted Average) use).
% The Sinc version is the most popular windowed filter.
%
% LanczosSharp is a slightly sharpened (blur=0.9812505644269356 < 1) form of
% the Lanczos filter, specifically designed for EWA distortion (as a
% Jinc-Jinc); it can also be used as a slightly sharper orthogonal Lanczos
% (Sinc-Sinc) filter. The chosen blur value comes as close as possible to
% satisfying the following condition without changing the character of the
% corresponding EWA filter:
%
% 'No-Op' Vertical and Horizontal Line Preservation Condition: Images with
% only vertical or horizontal features are preserved when performing 'no-op"
% with EWA distortion.
%
% The Lanczos2 and Lanczos2Sharp filters are 2-lobe versions of the Lanczos
% filters. The 'sharp' version uses a blur factor of 0.9549963639785485,
% again chosen because the resulting EWA filter comes as close as possible to
% satisfying the above condition.
%
% Robidoux is another filter tuned for EWA. It is the Keys cubic filter
% defined by B=(228 - 108 sqrt(2))/199. Robidoux satisfies the "'No-Op'
% Vertical and Horizontal Line Preservation Condition" exactly, and it
% moderately blurs high frequency 'pixel-hash' patterns under no-op. It turns
% out to be close to both Mitchell and Lanczos2Sharp. For example, its first
% crossing is at (36 sqrt(2) + 123)/(72 sqrt(2) + 47), almost the same as the
% first crossing of Mitchell and Lanczos2Sharp.
%
% RobidouxSharp is a slightly sharper version of Robidoux, some believe it
% is too sharp. It is designed to minimize the maximum possible change in
% a pixel value which is at one of the extremes (e.g., 0 or 255) under no-op
% conditions. Amazingly Mitchell falls roughly between Robidoux and
% RobidouxSharp, though this seems to have been pure coincidence.
%
% 'EXPERT' OPTIONS:
%
% These artifact "defines" are not recommended for production use without
% expert knowledge of resampling, filtering, and the effects they have on the
% resulting resampled (resized or distorted) image.
%
% They can be used to override any and all filter default, and it is
% recommended you make good use of "filter:verbose" to make sure that the
% overall effect of your selection (before and after) is as expected.
%
% "filter:verbose" controls whether to output the exact results of the
% filter selections made, as well as plotting data for graphing the
% resulting filter over the filters support range.
%
% "filter:filter" select the main function associated with this filter
% name, as the weighting function of the filter. This can be used to
% set a windowing function as a weighting function, for special
% purposes, such as graphing.
%
% If a "filter:window" operation has not been provided, a 'Box'
% windowing function will be set to denote that no windowing function is
% being used.
%
% "filter:window" Select this windowing function for the filter. While any
% filter could be used as a windowing function, using the 'first lobe' of
% that filter over the whole support window, using a non-windowing
% function is not advisible. If no weighting filter function is specified
% a 'SincFast' filter is used.
%
% "filter:lobes" Number of lobes to use for the Sinc/Jinc filter. This a
% simpler method of setting filter support size that will correctly
% handle the Sinc/Jinc switch for an operators filtering requirements.
% Only integers should be given.
%
% "filter:support" Set the support size for filtering to the size given.
% This not recommended for Sinc/Jinc windowed filters (lobes should be
% used instead). This will override any 'filter:lobes' option.
%
% "filter:win-support" Scale windowing function to this size instead. This
% causes the windowing (or self-windowing Lagrange filter) to act is if
% the support window it much much larger than what is actually supplied
% to the calling operator. The filter however is still clipped to the
% real support size given, by the support range supplied to the caller.
% If unset this will equal the normal filter support size.
%
% "filter:blur" Scale the filter and support window by this amount. A value
% of > 1 will generally result in a more blurred image with more ringing
% effects, while a value <1 will sharpen the resulting image with more
% aliasing effects.
%
% "filter:sigma" The sigma value to use for the Gaussian filter only.
% Defaults to '1/2'. Using a different sigma effectively provides a
% method of using the filter as a 'blur' convolution. Particularly when
% using it for Distort.
%
% "filter:b"
% "filter:c" Override the preset B,C values for a Cubic filter.
% If only one of these are given it is assumes to be a 'Keys' type of
% filter such that B+2C=1, where Keys 'alpha' value = C.
%
% Examples:
%
% Set a true un-windowed Sinc filter with 10 lobes (very slow):
% -define filter:filter=Sinc
% -define filter:lobes=8
%
% Set an 8 lobe Lanczos (Sinc or Jinc) filter:
% -filter Lanczos
% -define filter:lobes=8
%
% The format of the AcquireResizeFilter method is:
%
% ResizeFilter *AcquireResizeFilter(const Image *image,
% const FilterType filter_type,const MagickBooleanType cylindrical,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o filter: the filter type, defining a preset filter, window and support.
% The artifact settings listed above will override those selections.
%
% o blur: blur the filter by this amount, use 1.0 if unknown. Image
% artifact "filter:blur" will override this API call usage, including any
% internal change (such as for cylindrical usage).
%
% o radial: use a 1D orthogonal filter (Sinc) or 2D cylindrical (radial)
% filter (Jinc).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate ResizeFilter *AcquireResizeFilter(const Image *image,
const FilterType filter,const MagickBooleanType cylindrical,
ExceptionInfo *exception)
{
const char
*artifact;
FilterType
filter_type,
window_type;
double
B,
C,
value;
ResizeFilter
*resize_filter;
/*
Table Mapping given Filter, into Weighting and Windowing functions.
A 'Box' windowing function means its a simble non-windowed filter.
An 'SincFast' filter function could be upgraded to a 'Jinc' filter if a
"cylindrical" is requested, unless a 'Sinc' or 'SincFast' filter was
specifically requested by the user.
WARNING: The order of this table must match the order of the FilterType
enumeration specified in "resample.h", or the filter names will not match
the filter being setup.
You can check filter setups with the "filter:verbose" expert setting.
*/
static struct
{
FilterType
filter,
window;
} const mapping[SentinelFilter] =
{
{ UndefinedFilter, BoxFilter }, /* Undefined (default to Box) */
{ PointFilter, BoxFilter }, /* SPECIAL: Nearest neighbour */
{ BoxFilter, BoxFilter }, /* Box averaging filter */
{ TriangleFilter, BoxFilter }, /* Linear interpolation filter */
{ HermiteFilter, BoxFilter }, /* Hermite interpolation filter */
{ SincFastFilter, HannFilter }, /* Hann -- cosine-sinc */
{ SincFastFilter, HammingFilter }, /* Hamming -- '' variation */
{ SincFastFilter, BlackmanFilter }, /* Blackman -- 2*cosine-sinc */
{ GaussianFilter, BoxFilter }, /* Gaussian blur filter */
{ QuadraticFilter, BoxFilter }, /* Quadratic Gaussian approx */
{ CubicFilter, BoxFilter }, /* General Cubic Filter, Spline */
{ CatromFilter, BoxFilter }, /* Cubic-Keys interpolator */
{ MitchellFilter, BoxFilter }, /* 'Ideal' Cubic-Keys filter */
{ JincFilter, BoxFilter }, /* Raw 3-lobed Jinc function */
{ SincFilter, BoxFilter }, /* Raw 4-lobed Sinc function */
{ SincFastFilter, BoxFilter }, /* Raw fast sinc ("Pade"-type) */
{ SincFastFilter, KaiserFilter }, /* Kaiser -- square root-sinc */
{ LanczosFilter, WelchFilter }, /* Welch -- parabolic (3 lobe) */
{ SincFastFilter, CubicFilter }, /* Parzen -- cubic-sinc */
{ SincFastFilter, BohmanFilter }, /* Bohman -- 2*cosine-sinc */
{ SincFastFilter, TriangleFilter }, /* Bartlett -- triangle-sinc */
{ LagrangeFilter, BoxFilter }, /* Lagrange self-windowing */
{ LanczosFilter, LanczosFilter }, /* Lanczos Sinc-Sinc filters */
{ LanczosSharpFilter, LanczosSharpFilter }, /* | these require */
{ Lanczos2Filter, Lanczos2Filter }, /* | special handling */
{ Lanczos2SharpFilter, Lanczos2SharpFilter },
{ RobidouxFilter, BoxFilter }, /* Cubic Keys tuned for EWA */
{ RobidouxSharpFilter, BoxFilter }, /* Sharper Cubic Keys for EWA */
{ LanczosFilter, CosineFilter }, /* Cosine window (3 lobes) */
{ SplineFilter, BoxFilter }, /* Spline Cubic Filter */
{ LanczosRadiusFilter, LanczosFilter }, /* Lanczos with integer radius */
{ CubicSplineFilter, BoxFilter }, /* CubicSpline (2/3/4 lobes) */
};
/*
Table mapping the filter/window from the above table to an actual function.
The default support size for that filter as a weighting function, the range
to scale with to use that function as a sinc windowing function, (typ 1.0).
Note that the filter_type -> function is 1 to 1 except for Sinc(),
SincFast(), and CubicBC() functions, which may have multiple filter to
function associations.
See "filter:verbose" handling below for the function -> filter mapping.
*/
static struct
{
double
(*function)(const double,const ResizeFilter*),
support, /* Default lobes/support size of the weighting filter. */
scale, /* Support when function used as a windowing function
Typically equal to the location of the first zero crossing. */
B,C; /* BC-spline coefficients, ignored if not a CubicBC filter. */
ResizeWeightingFunctionType weightingFunctionType;
} const filters[SentinelFilter] =
{
/* .--- support window (if used as a Weighting Function)
| .--- first crossing (if used as a Windowing Function)
| | .--- B value for Cubic Function
| | | .---- C value for Cubic Function
| | | | */
{ Box, 0.5, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Undefined (default to Box) */
{ Box, 0.0, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Point (special handling) */
{ Box, 0.5, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Box */
{ Triangle, 1.0, 1.0, 0.0, 0.0, TriangleWeightingFunction }, /* Triangle */
{ CubicBC, 1.0, 1.0, 0.0, 0.0, CubicBCWeightingFunction }, /* Hermite (cubic B=C=0) */
{ Hann, 1.0, 1.0, 0.0, 0.0, HannWeightingFunction }, /* Hann, cosine window */
{ Hamming, 1.0, 1.0, 0.0, 0.0, HammingWeightingFunction }, /* Hamming, '' variation */
{ Blackman, 1.0, 1.0, 0.0, 0.0, BlackmanWeightingFunction }, /* Blackman, 2*cosine window */
{ Gaussian, 2.0, 1.5, 0.0, 0.0, GaussianWeightingFunction }, /* Gaussian */
{ Quadratic, 1.5, 1.5, 0.0, 0.0, QuadraticWeightingFunction },/* Quadratic gaussian */
{ CubicBC, 2.0, 2.0, 1.0, 0.0, CubicBCWeightingFunction }, /* General Cubic Filter */
{ CubicBC, 2.0, 1.0, 0.0, 0.5, CubicBCWeightingFunction }, /* Catmull-Rom (B=0,C=1/2) */
{ CubicBC, 2.0, 8.0/7.0, 1./3., 1./3., CubicBCWeightingFunction }, /* Mitchell (B=C=1/3) */
{ Jinc, 3.0, 1.2196698912665045, 0.0, 0.0, JincWeightingFunction }, /* Raw 3-lobed Jinc */
{ Sinc, 4.0, 1.0, 0.0, 0.0, SincWeightingFunction }, /* Raw 4-lobed Sinc */
{ SincFast, 4.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Raw fast sinc ("Pade"-type) */
{ Kaiser, 1.0, 1.0, 0.0, 0.0, KaiserWeightingFunction }, /* Kaiser (square root window) */
{ Welch, 1.0, 1.0, 0.0, 0.0, WelchWeightingFunction }, /* Welch (parabolic window) */
{ CubicBC, 2.0, 2.0, 1.0, 0.0, CubicBCWeightingFunction }, /* Parzen (B-Spline window) */
{ Bohman, 1.0, 1.0, 0.0, 0.0, BohmanWeightingFunction }, /* Bohman, 2*Cosine window */
{ Triangle, 1.0, 1.0, 0.0, 0.0, TriangleWeightingFunction }, /* Bartlett (triangle window) */
{ Lagrange, 2.0, 1.0, 0.0, 0.0, LagrangeWeightingFunction }, /* Lagrange sinc approximation */
{ SincFast, 3.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, 3-lobed Sinc-Sinc */
{ SincFast, 3.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, Sharpened */
{ SincFast, 2.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, 2-lobed */
{ SincFast, 2.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos2, sharpened */
/* Robidoux: Keys cubic close to Lanczos2D sharpened */
{ CubicBC, 2.0, 1.1685777620836932,
0.37821575509399867, 0.31089212245300067, CubicBCWeightingFunction },
/* RobidouxSharp: Sharper version of Robidoux */
{ CubicBC, 2.0, 1.105822933719019,
0.2620145123990142, 0.3689927438004929, CubicBCWeightingFunction },
{ Cosine, 1.0, 1.0, 0.0, 0.0, CosineWeightingFunction }, /* Low level cosine window */
{ CubicBC, 2.0, 2.0, 1.0, 0.0, CubicBCWeightingFunction }, /* Cubic B-Spline (B=1,C=0) */
{ SincFast, 3.0, 1.0, 0.0, 0.0, SincFastWeightingFunction }, /* Lanczos, Interger Radius */
{ CubicSpline,2.0, 0.5, 0.0, 0.0, BoxWeightingFunction }, /* Spline Lobes 2-lobed */
};
/*
The known zero crossings of the Jinc() or more accurately the Jinc(x*PI)
function being used as a filter. It is used by the "filter:lobes" expert
setting and for 'lobes' for Jinc functions in the previous table. This way
users do not have to deal with the highly irrational lobe sizes of the Jinc
filter.
Values taken from
http://cose.math.bas.bg/webMathematica/webComputing/BesselZeros.jsp
using Jv-function with v=1, then dividing by PI.
*/
static double
jinc_zeros[16] =
{
1.2196698912665045,
2.2331305943815286,
3.2383154841662362,
4.2410628637960699,
5.2427643768701817,
6.2439216898644877,
7.2447598687199570,
8.2453949139520427,
9.2458926849494673,
10.246293348754916,
11.246622794877883,
12.246898461138105,
13.247132522181061,
14.247333735806849,
15.247508563037300,
16.247661874700962
};
/*
Allocate resize filter.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(UndefinedFilter < filter && filter < SentinelFilter);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
(void) exception;
resize_filter=(ResizeFilter *) AcquireCriticalMemory(sizeof(*resize_filter));
(void) memset(resize_filter,0,sizeof(*resize_filter));
/*
Defaults for the requested filter.
*/
filter_type=mapping[filter].filter;
window_type=mapping[filter].window;
resize_filter->blur=1.0;
/* Promote 1D Windowed Sinc Filters to a 2D Windowed Jinc filters */
if ((cylindrical != MagickFalse) && (filter_type == SincFastFilter) &&
(filter != SincFastFilter))
filter_type=JincFilter; /* 1D Windowed Sinc => 2D Windowed Jinc filters */
/* Expert filter setting override */
artifact=GetImageArtifact(image,"filter:filter");
if (IsStringTrue(artifact) != MagickFalse)
{
ssize_t
option;
option=ParseCommandOption(MagickFilterOptions,MagickFalse,artifact);
if ((UndefinedFilter < option) && (option < SentinelFilter))
{ /* Raw filter request - no window function. */
filter_type=(FilterType) option;
window_type=BoxFilter;
}
/* Filter override with a specific window function. */
artifact=GetImageArtifact(image,"filter:window");
if (artifact != (const char *) NULL)
{
option=ParseCommandOption(MagickFilterOptions,MagickFalse,artifact);
if ((UndefinedFilter < option) && (option < SentinelFilter))
window_type=(FilterType) option;
}
}
else
{
/* Window specified, but no filter function? Assume Sinc/Jinc. */
artifact=GetImageArtifact(image,"filter:window");
if (artifact != (const char *) NULL)
{
ssize_t
option;
option=ParseCommandOption(MagickFilterOptions,MagickFalse,artifact);
if ((UndefinedFilter < option) && (option < SentinelFilter))
{
filter_type= cylindrical != MagickFalse ? JincFilter
: SincFastFilter;
window_type=(FilterType) option;
}
}
}
/* Assign the real functions to use for the filters selected. */
resize_filter->filter=filters[filter_type].function;
resize_filter->support=filters[filter_type].support;
resize_filter->filterWeightingType=filters[filter_type].weightingFunctionType;
resize_filter->window=filters[window_type].function;
resize_filter->windowWeightingType=filters[window_type].weightingFunctionType;
resize_filter->scale=filters[window_type].scale;
resize_filter->signature=MagickCoreSignature;
/* Filter Modifications for orthogonal/cylindrical usage */
if (cylindrical != MagickFalse)
switch (filter_type)
{
case BoxFilter:
/* Support for Cylindrical Box should be sqrt(2)/2 */
resize_filter->support=(double) MagickSQ1_2;
break;
case LanczosFilter:
case LanczosSharpFilter:
case Lanczos2Filter:
case Lanczos2SharpFilter:
case LanczosRadiusFilter:
resize_filter->filter=filters[JincFilter].function;
resize_filter->window=filters[JincFilter].function;
resize_filter->scale=filters[JincFilter].scale;
/* number of lobes (support window size) remain unchanged */
break;
default:
break;
}
/* Global Sharpening (regardless of orthoginal/cylindrical) */
switch (filter_type)
{
case LanczosSharpFilter:
resize_filter->blur *= 0.9812505644269356;
break;
case Lanczos2SharpFilter:
resize_filter->blur *= 0.9549963639785485;
break;
/* case LanczosRadius: blur adjust is done after lobes */
default:
break;
}
/*
Expert Option Modifications.
*/
/* User Gaussian Sigma Override - no support change */
if ((resize_filter->filter == Gaussian) ||
(resize_filter->window == Gaussian) ) {
value=0.5; /* guassian sigma default, half pixel */
artifact=GetImageArtifact(image,"filter:sigma");
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL);
/* Define coefficents for Gaussian */
resize_filter->coefficient[0]=value; /* note sigma too */
resize_filter->coefficient[1]=PerceptibleReciprocal(2.0*value*value); /* sigma scaling */
resize_filter->coefficient[2]=PerceptibleReciprocal(Magick2PI*value*value);
/* normalization - not actually needed or used! */
if ( value > 0.5 )
resize_filter->support *= 2*value; /* increase support linearly */
}
/* User Kaiser Alpha Override - no support change */
if ((resize_filter->filter == Kaiser) ||
(resize_filter->window == Kaiser) ) {
value=6.5; /* default beta value for Kaiser bessel windowing function */
artifact=GetImageArtifact(image,"filter:alpha"); /* FUTURE: depreciate */
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL);
artifact=GetImageArtifact(image,"filter:kaiser-beta");
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL);
artifact=GetImageArtifact(image,"filter:kaiser-alpha");
if (artifact != (const char *) NULL)
value=StringToDouble(artifact,(char **) NULL)*MagickPI;
/* Define coefficents for Kaiser Windowing Function */
resize_filter->coefficient[0]=value; /* alpha */
resize_filter->coefficient[1]=PerceptibleReciprocal(I0(value));
/* normalization */
}
/* Support Overrides */
artifact=GetImageArtifact(image,"filter:lobes");
if (artifact != (const char *) NULL)
{
ssize_t
lobes;
lobes=(ssize_t) StringToLong(artifact);
if (lobes < 1)
lobes=1;
resize_filter->support=(double) lobes;
}
if (resize_filter->filter == Jinc)
{
/*
Convert a Jinc function lobes value to a real support value.
*/
if (resize_filter->support > 16)
resize_filter->support=jinc_zeros[15]; /* largest entry in table */
else
resize_filter->support=jinc_zeros[((long) resize_filter->support)-1];
/*
Blur this filter so support is a integer value (lobes dependant).
*/
if (filter_type == LanczosRadiusFilter)
resize_filter->blur*=floor(resize_filter->support)/
resize_filter->support;
}
/*
Expert blur override.
*/
artifact=GetImageArtifact(image,"filter:blur");
if (artifact != (const char *) NULL)
resize_filter->blur*=StringToDouble(artifact,(char **) NULL);
if (resize_filter->blur < MagickEpsilon)
resize_filter->blur=(double) MagickEpsilon;
/*
Expert override of the support setting.
*/
artifact=GetImageArtifact(image,"filter:support");
if (artifact != (const char *) NULL)
resize_filter->support=fabs(StringToDouble(artifact,(char **) NULL));
/*
Scale windowing function separately to the support 'clipping' window
that calling operator is planning to actually use. (Expert override)
*/
resize_filter->window_support=resize_filter->support; /* default */
artifact=GetImageArtifact(image,"filter:win-support");
if (artifact != (const char *) NULL)
resize_filter->window_support=fabs(StringToDouble(artifact,(char **) NULL));
/*
Adjust window function scaling to match windowing support for weighting
function. This avoids a division on every filter call.
*/
resize_filter->scale*=PerceptibleReciprocal(resize_filter->window_support);
/*
Set Cubic Spline B,C values, calculate Cubic coefficients.
*/
B=0.0;
C=0.0;
if ((resize_filter->filter == CubicBC) ||
(resize_filter->window == CubicBC) )
{
B=filters[filter_type].B;
C=filters[filter_type].C;
if (filters[window_type].function == CubicBC)
{
B=filters[window_type].B;
C=filters[window_type].C;
}
artifact=GetImageArtifact(image,"filter:b");
if (artifact != (const char *) NULL)
{
B=StringToDouble(artifact,(char **) NULL);
C=(1.0-B)/2.0; /* Calculate C to get a Keys cubic filter. */
artifact=GetImageArtifact(image,"filter:c"); /* user C override */
if (artifact != (const char *) NULL)
C=StringToDouble(artifact,(char **) NULL);
}
else
{
artifact=GetImageArtifact(image,"filter:c");
if (artifact != (const char *) NULL)
{
C=StringToDouble(artifact,(char **) NULL);
B=1.0-2.0*C; /* Calculate B to get a Keys cubic filter. */
}
}
{
const double
twoB = B+B;
/*
Convert B,C values into Cubic Coefficents. See CubicBC().
*/
resize_filter->coefficient[0]=1.0-(1.0/3.0)*B;
resize_filter->coefficient[1]=-3.0+twoB+C;
resize_filter->coefficient[2]=2.0-1.5*B-C;
resize_filter->coefficient[3]=(4.0/3.0)*B+4.0*C;
resize_filter->coefficient[4]=-8.0*C-twoB;
resize_filter->coefficient[5]=B+5.0*C;
resize_filter->coefficient[6]=(-1.0/6.0)*B-C;
}
}
/*
Expert Option Request for verbose details of the resulting filter.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp master
{
#endif
if (IsStringTrue(GetImageArtifact(image,"filter:verbose")) != MagickFalse)
{
double
support,
x;
/*
Set the weighting function properly when the weighting function
may not exactly match the filter of the same name. EG: a Point
filter is really uses a Box weighting function with a different
support than is typically used.
*/
if (resize_filter->filter == Box) filter_type=BoxFilter;
if (resize_filter->filter == Sinc) filter_type=SincFilter;
if (resize_filter->filter == SincFast) filter_type=SincFastFilter;
if (resize_filter->filter == Jinc) filter_type=JincFilter;
if (resize_filter->filter == CubicBC) filter_type=CubicFilter;
if (resize_filter->window == Box) window_type=BoxFilter;
if (resize_filter->window == Sinc) window_type=SincFilter;
if (resize_filter->window == SincFast) window_type=SincFastFilter;
if (resize_filter->window == Jinc) window_type=JincFilter;
if (resize_filter->window == CubicBC) window_type=CubicFilter;
/*
Report Filter Details.
*/
support=GetResizeFilterSupport(resize_filter); /* practical_support */
(void) FormatLocaleFile(stdout,
"# Resampling Filter (for graphing)\n#\n");
(void) FormatLocaleFile(stdout,"# filter = %s\n",
CommandOptionToMnemonic(MagickFilterOptions,filter_type));
(void) FormatLocaleFile(stdout,"# window = %s\n",
CommandOptionToMnemonic(MagickFilterOptions,window_type));
(void) FormatLocaleFile(stdout,"# support = %.*g\n",
GetMagickPrecision(),(double) resize_filter->support);
(void) FormatLocaleFile(stdout,"# window-support = %.*g\n",
GetMagickPrecision(),(double) resize_filter->window_support);
(void) FormatLocaleFile(stdout,"# scale-blur = %.*g\n",
GetMagickPrecision(),(double) resize_filter->blur);
if ((filter_type == GaussianFilter) || (window_type == GaussianFilter))
(void) FormatLocaleFile(stdout,"# gaussian-sigma = %.*g\n",
GetMagickPrecision(),(double) resize_filter->coefficient[0]);
if ( filter_type == KaiserFilter || window_type == KaiserFilter )
(void) FormatLocaleFile(stdout,"# kaiser-beta = %.*g\n",
GetMagickPrecision(),(double) resize_filter->coefficient[0]);
(void) FormatLocaleFile(stdout,"# practical-support = %.*g\n",
GetMagickPrecision(), (double) support);
if ((filter_type == CubicFilter) || (window_type == CubicFilter))
(void) FormatLocaleFile(stdout,"# B,C = %.*g,%.*g\n",
GetMagickPrecision(),(double) B,GetMagickPrecision(),(double) C);
(void) FormatLocaleFile(stdout,"\n");
/*
Output values of resulting filter graph -- for graphing filter result.
*/
for (x=0.0; x <= support; x+=0.01f)
(void) FormatLocaleFile(stdout,"%5.2lf\t%.*g\n",x,
GetMagickPrecision(),(double)
GetResizeFilterWeight(resize_filter,x));
/*
A final value so gnuplot can graph the 'stop' properly.
*/
(void) FormatLocaleFile(stdout,"%5.2lf\t%.*g\n",support,
GetMagickPrecision(),0.0);
}
/* Output the above once only for each image - remove setting */
(void) DeleteImageArtifact((Image *) image,"filter:verbose");
#if defined(MAGICKCORE_OPENMP_SUPPORT)
}
#endif
return(resize_filter);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A d a p t i v e R e s i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AdaptiveResizeImage() adaptively resize image with pixel resampling.
%
% This is shortcut function for a fast interpolative resize using mesh
% interpolation. It works well for small resizes of less than +/- 50%
% of the original image size. For larger resizing on images a full
% filtered and slower resize function should be used instead.
%
% The format of the AdaptiveResizeImage method is:
%
% Image *AdaptiveResizeImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the resized image.
%
% o rows: the number of rows in the resized image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AdaptiveResizeImage(const Image *image,
const size_t columns,const size_t rows,ExceptionInfo *exception)
{
Image
*resize_image;
resize_image=InterpolativeResizeImage(image,columns,rows,MeshInterpolatePixel,
exception);
return(resize_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ B e s s e l O r d e r O n e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BesselOrderOne() computes the Bessel function of x of the first kind of
% order 0. This is used to create the Jinc() filter function below.
%
% Reduce x to |x| since j1(x)= -j1(-x), and for x in (0,8]
%
% j1(x) = x*j1(x);
%
% For x in (8,inf)
%
% j1(x) = sqrt(2/(pi*x))*(p1(x)*cos(x1)-q1(x)*sin(x1))
%
% where x1 = x-3*pi/4. Compute sin(x1) and cos(x1) as follow:
%
% cos(x1) = cos(x)cos(3pi/4)+sin(x)sin(3pi/4)
% = 1/sqrt(2) * (sin(x) - cos(x))
% sin(x1) = sin(x)cos(3pi/4)-cos(x)sin(3pi/4)
% = -1/sqrt(2) * (sin(x) + cos(x))
%
% The format of the BesselOrderOne method is:
%
% double BesselOrderOne(double x)
%
% A description of each parameter follows:
%
% o x: double value.
%
*/
#undef I0
static double I0(double x)
{
double
sum,
t,
y;
ssize_t
i;
/*
Zeroth order Bessel function of the first kind.
*/
sum=1.0;
y=x*x/4.0;
t=y;
for (i=2; t > MagickEpsilon; i++)
{
sum+=t;
t*=y/((double) i*i);
}
return(sum);
}
#undef J1
static double J1(double x)
{
double
p,
q;
ssize_t
i;
static const double
Pone[] =
{
0.581199354001606143928050809e+21,
-0.6672106568924916298020941484e+20,
0.2316433580634002297931815435e+19,
-0.3588817569910106050743641413e+17,
0.2908795263834775409737601689e+15,
-0.1322983480332126453125473247e+13,
0.3413234182301700539091292655e+10,
-0.4695753530642995859767162166e+7,
0.270112271089232341485679099e+4
},
Qone[] =
{
0.11623987080032122878585294e+22,
0.1185770712190320999837113348e+20,
0.6092061398917521746105196863e+17,
0.2081661221307607351240184229e+15,
0.5243710262167649715406728642e+12,
0.1013863514358673989967045588e+10,
0.1501793594998585505921097578e+7,
0.1606931573481487801970916749e+4,
0.1e+1
};
p=Pone[8];
q=Qone[8];
for (i=7; i >= 0; i--)
{
p=p*x*x+Pone[i];
q=q*x*x+Qone[i];
}
return(p/q);
}
#undef P1
static double P1(double x)
{
double
p,
q;
ssize_t
i;
static const double
Pone[] =
{
0.352246649133679798341724373e+5,
0.62758845247161281269005675e+5,
0.313539631109159574238669888e+5,
0.49854832060594338434500455e+4,
0.2111529182853962382105718e+3,
0.12571716929145341558495e+1
},
Qone[] =
{
0.352246649133679798068390431e+5,
0.626943469593560511888833731e+5,
0.312404063819041039923015703e+5,
0.4930396490181088979386097e+4,
0.2030775189134759322293574e+3,
0.1e+1
};
p=Pone[5];
q=Qone[5];
for (i=4; i >= 0; i--)
{
p=p*(8.0/x)*(8.0/x)+Pone[i];
q=q*(8.0/x)*(8.0/x)+Qone[i];
}
return(p/q);
}
#undef Q1
static double Q1(double x)
{
double
p,
q;
ssize_t
i;
static const double
Pone[] =
{
0.3511751914303552822533318e+3,
0.7210391804904475039280863e+3,
0.4259873011654442389886993e+3,
0.831898957673850827325226e+2,
0.45681716295512267064405e+1,
0.3532840052740123642735e-1
},
Qone[] =
{
0.74917374171809127714519505e+4,
0.154141773392650970499848051e+5,
0.91522317015169922705904727e+4,
0.18111867005523513506724158e+4,
0.1038187585462133728776636e+3,
0.1e+1
};
p=Pone[5];
q=Qone[5];
for (i=4; i >= 0; i--)
{
p=p*(8.0/x)*(8.0/x)+Pone[i];
q=q*(8.0/x)*(8.0/x)+Qone[i];
}
return(p/q);
}
static double BesselOrderOne(double x)
{
double
p,
q;
if (x == 0.0)
return(0.0);
p=x;
if (x < 0.0)
x=(-x);
if (x < 8.0)
return(p*J1(x));
q=sqrt((double) (2.0/(MagickPI*x)))*(P1(x)*(1.0/sqrt(2.0)*(sin(x)-
cos(x)))-8.0/x*Q1(x)*(-1.0/sqrt(2.0)*(sin(x)+cos(x))));
if (p < 0.0)
q=(-q);
return(q);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y R e s i z e F i l t e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyResizeFilter() destroy the resize filter.
%
% The format of the DestroyResizeFilter method is:
%
% ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
%
% A description of each parameter follows:
%
% o resize_filter: the resize filter.
%
*/
MagickPrivate ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
resize_filter->signature=(~MagickCoreSignature);
resize_filter=(ResizeFilter *) RelinquishMagickMemory(resize_filter);
return(resize_filter);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t R e s i z e F i l t e r S u p p o r t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetResizeFilterSupport() return the current support window size for this
% filter. Note that this may have been enlarged by filter:blur factor.
%
% The format of the GetResizeFilterSupport method is:
%
% double GetResizeFilterSupport(const ResizeFilter *resize_filter)
%
% A description of each parameter follows:
%
% o filter: Image filter to use.
%
*/
MagickPrivate double *GetResizeFilterCoefficient(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return((double *) resize_filter->coefficient);
}
MagickPrivate double GetResizeFilterBlur(const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->blur);
}
MagickPrivate double GetResizeFilterScale(const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->scale);
}
MagickPrivate double GetResizeFilterWindowSupport(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->window_support);
}
MagickPrivate ResizeWeightingFunctionType GetResizeFilterWeightingType(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->filterWeightingType);
}
MagickPrivate ResizeWeightingFunctionType GetResizeFilterWindowWeightingType(
const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->windowWeightingType);
}
MagickPrivate double GetResizeFilterSupport(const ResizeFilter *resize_filter)
{
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
return(resize_filter->support*resize_filter->blur);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t R e s i z e F i l t e r W e i g h t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetResizeFilterWeight evaluates the specified resize filter at the point x
% which usally lies between zero and the filters current 'support' and
% returns the weight of the filter function at that point.
%
% The format of the GetResizeFilterWeight method is:
%
% double GetResizeFilterWeight(const ResizeFilter *resize_filter,
% const double x)
%
% A description of each parameter follows:
%
% o filter: the filter type.
%
% o x: the point.
%
*/
MagickPrivate double GetResizeFilterWeight(const ResizeFilter *resize_filter,
const double x)
{
double
scale,
weight,
x_blur;
/*
Windowing function - scale the weighting filter by this amount.
*/
assert(resize_filter != (ResizeFilter *) NULL);
assert(resize_filter->signature == MagickCoreSignature);
x_blur=fabs((double) x)*PerceptibleReciprocal(resize_filter->blur); /* X offset with blur scaling */
if ((resize_filter->window_support < MagickEpsilon) ||
(resize_filter->window == Box))
scale=1.0; /* Point or Box Filter -- avoid division by zero */
else
{
scale=resize_filter->scale;
scale=resize_filter->window(x_blur*scale,resize_filter);
}
weight=scale*resize_filter->filter(x_blur,resize_filter);
return(weight);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n t e r p o l a t i v e R e s i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InterpolativeResizeImage() resizes an image using the specified
% interpolation method.
%
% The format of the InterpolativeResizeImage method is:
%
% Image *InterpolativeResizeImage(const Image *image,const size_t columns,
% const size_t rows,const PixelInterpolateMethod method,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the resized image.
%
% o rows: the number of rows in the resized image.
%
% o method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *InterpolativeResizeImage(const Image *image,
const size_t columns,const size_t rows,const PixelInterpolateMethod method,
ExceptionInfo *exception)
{
#define InterpolativeResizeImageTag "Resize/Image"
CacheView
*image_view,
*resize_view;
Image
*resize_image;
MagickBooleanType
status;
MagickOffsetType
progress;
PointInfo
scale;
ssize_t
y;
/*
Interpolatively resize 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);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (resize_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(resize_image,DirectClass,exception) == MagickFalse)
{
resize_image=DestroyImage(resize_image);
return((Image *) NULL);
}
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
resize_view=AcquireAuthenticCacheView(resize_image,exception);
scale.x=(double) image->columns/resize_image->columns;
scale.y=(double) image->rows/resize_image->rows;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,resize_image,resize_image->rows,1)
#endif
for (y=0; y < (ssize_t) resize_image->rows; y++)
{
PointInfo
offset;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
exception);
if (q == (Quantum *) NULL)
continue;
offset.y=((double) y+0.5)*scale.y-0.5;
for (x=0; x < (ssize_t) resize_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
resize_traits,
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
resize_traits=GetPixelChannelTraits(resize_image,channel);
if ((traits == UndefinedPixelTrait) ||
(resize_traits == UndefinedPixelTrait))
continue;
offset.x=((double) x+0.5)*scale.x-0.5;
status=InterpolatePixelChannels(image,image_view,resize_image,method,
offset.x,offset.y,q,exception);
if (status == MagickFalse)
break;
}
q+=GetPixelChannels(resize_image);
}
if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,InterpolativeResizeImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
resize_view=DestroyCacheView(resize_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
resize_image=DestroyImage(resize_image);
return(resize_image);
}
#if defined(MAGICKCORE_LQR_DELEGATE)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i q u i d R e s c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LiquidRescaleImage() rescales image with seam carving.
%
% The format of the LiquidRescaleImage method is:
%
% Image *LiquidRescaleImage(const Image *image,const size_t columns,
% const size_t rows,const double delta_x,const double rigidity,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the rescaled image.
%
% o rows: the number of rows in the rescaled image.
%
% o delta_x: maximum seam transversal step (0 means straight seams).
%
% o rigidity: introduce a bias for non-straight seams (typically 0).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *LiquidRescaleImage(const Image *image,const size_t columns,
const size_t rows,const double delta_x,const double rigidity,
ExceptionInfo *exception)
{
#define LiquidRescaleImageTag "Rescale/Image"
CacheView
*image_view,
*rescale_view;
gfloat
*packet,
*pixels;
Image
*rescale_image;
int
x_offset,
y_offset;
LqrCarver
*carver;
LqrRetVal
lqr_status;
MagickBooleanType
status;
MemoryInfo
*pixel_info;
gfloat
*q;
ssize_t
y;
/*
Liquid rescale 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);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
if ((columns <= 2) || (rows <= 2))
return(ResizeImage(image,columns,rows,image->filter,exception));
pixel_info=AcquireVirtualMemory(image->columns,image->rows*MaxPixelChannels*
sizeof(*pixels));
if (pixel_info == (MemoryInfo *) NULL)
return((Image *) NULL);
pixels=(gfloat *) GetVirtualMemoryBlob(pixel_info);
status=MagickTrue;
q=pixels;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
const Quantum
*magick_restrict p;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
*q++=QuantumScale*p[i];
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
carver=lqr_carver_new_ext(pixels,(int) image->columns,(int) image->rows,
(int) GetPixelChannels(image),LQR_COLDEPTH_32F);
if (carver == (LqrCarver *) NULL)
{
pixel_info=RelinquishVirtualMemory(pixel_info);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
lqr_carver_set_preserve_input_image(carver);
lqr_status=lqr_carver_init(carver,(int) delta_x,rigidity);
lqr_status=lqr_carver_resize(carver,(int) columns,(int) rows);
(void) lqr_status;
rescale_image=CloneImage(image,lqr_carver_get_width(carver),
lqr_carver_get_height(carver),MagickTrue,exception);
if (rescale_image == (Image *) NULL)
{
pixel_info=RelinquishVirtualMemory(pixel_info);
return((Image *) NULL);
}
if (SetImageStorageClass(rescale_image,DirectClass,exception) == MagickFalse)
{
pixel_info=RelinquishVirtualMemory(pixel_info);
rescale_image=DestroyImage(rescale_image);
return((Image *) NULL);
}
rescale_view=AcquireAuthenticCacheView(rescale_image,exception);
(void) lqr_carver_scan_reset(carver);
while (lqr_carver_scan_ext(carver,&x_offset,&y_offset,(void **) &packet) != 0)
{
Quantum
*magick_restrict p;
ssize_t
i;
p=QueueCacheViewAuthenticPixels(rescale_view,x_offset,y_offset,1,1,
exception);
if (p == (Quantum *) NULL)
break;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
rescale_traits,
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
rescale_traits=GetPixelChannelTraits(rescale_image,channel);
if ((traits == UndefinedPixelTrait) ||
(rescale_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(rescale_image,channel,ClampToQuantum(QuantumRange*
packet[i]),p);
}
if (SyncCacheViewAuthenticPixels(rescale_view,exception) == MagickFalse)
break;
}
rescale_view=DestroyCacheView(rescale_view);
pixel_info=RelinquishVirtualMemory(pixel_info);
lqr_carver_destroy(carver);
return(rescale_image);
}
#else
MagickExport Image *LiquidRescaleImage(const Image *image,
const size_t magick_unused(columns),const size_t magick_unused(rows),
const double magick_unused(delta_x),const double magick_unused(rigidity),
ExceptionInfo *exception)
{
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);
(void) ThrowMagickException(exception,GetMagickModule(),MissingDelegateError,
"DelegateLibrarySupportNotBuiltIn","'%s' (LQR)",image->filename);
return((Image *) NULL);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a g n i f y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MagnifyImage() doubles the size of the image with a pixel art scaling
% algorithm.
%
% The format of the MagnifyImage method is:
%
% Image *MagnifyImage(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 inline void CopyPixels(const Quantum *source,const ssize_t source_offset,
Quantum *destination,const ssize_t destination_offset,const size_t channels)
{
ssize_t
i;
for (i=0; i < (ssize_t) channels; i++)
destination[channels*destination_offset+i]=source[source_offset*channels+i];
}
static inline void MixPixels(const Quantum *source,const ssize_t *source_offset,
const size_t source_size,Quantum *destination,
const ssize_t destination_offset,const size_t channels)
{
ssize_t
sum;
ssize_t
i;
for (i=0; i < (ssize_t) channels; i++)
{
ssize_t
j;
sum=0;
for (j=0; j < (ssize_t) source_size; j++)
sum+=source[source_offset[j]*channels+i];
destination[channels*destination_offset+i]=(Quantum) (sum/source_size);
}
}
static inline void Mix2Pixels(const Quantum *source,
const ssize_t source_offset1,const ssize_t source_offset2,
Quantum *destination,const ssize_t destination_offset,const size_t channels)
{
const ssize_t
offsets[2] = { source_offset1, source_offset2 };
MixPixels(source,offsets,2,destination,destination_offset,channels);
}
static inline int PixelsEqual(const Quantum *source1,ssize_t offset1,
const Quantum *source2,ssize_t offset2,const size_t channels)
{
ssize_t
i;
offset1*=channels;
offset2*=channels;
for (i=0; i < (ssize_t) channels; i++)
if (source1[offset1+i] != source2[offset2+i])
return(0);
return(1);
}
static inline void Eagle2X(const Image *source,const Quantum *pixels,
Quantum *result,const size_t channels)
{
ssize_t
i;
(void) source;
for (i=0; i < 4; i++)
CopyPixels(pixels,4,result,i,channels);
if (PixelsEqual(pixels,0,pixels,1,channels) &&
PixelsEqual(pixels,1,pixels,3,channels))
CopyPixels(pixels,0,result,0,channels);
if (PixelsEqual(pixels,1,pixels,2,channels) &&
PixelsEqual(pixels,2,pixels,5,channels))
CopyPixels(pixels,2,result,1,channels);
if (PixelsEqual(pixels,3,pixels,6,channels) &&
PixelsEqual(pixels,6,pixels,7,channels))
CopyPixels(pixels,6,result,2,channels);
if (PixelsEqual(pixels,5,pixels,8,channels) &&
PixelsEqual(pixels,8,pixels,7,channels))
CopyPixels(pixels,8,result,3,channels);
}
static void Hq2XHelper(const unsigned int rule,const Quantum *source,
Quantum *destination,const ssize_t destination_offset,const size_t channels,
const ssize_t e,const ssize_t a,const ssize_t b,const ssize_t d,
const ssize_t f,const ssize_t h)
{
#define caseA(N,A,B,C,D) \
case N: \
{ \
const ssize_t \
offsets[4] = { A, B, C, D }; \
\
MixPixels(source,offsets,4,destination,destination_offset,channels);\
break; \
}
#define caseB(N,A,B,C,D,E,F,G,H) \
case N: \
{ \
const ssize_t \
offsets[8] = { A, B, C, D, E, F, G, H }; \
\
MixPixels(source,offsets,8,destination,destination_offset,channels);\
break; \
}
switch (rule)
{
case 0:
{
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
caseA(1,e,e,e,a)
caseA(2,e,e,e,d)
caseA(3,e,e,e,b)
caseA(4,e,e,d,b)
caseA(5,e,e,a,b)
caseA(6,e,e,a,d)
caseB(7,e,e,e,e,e,b,b,d)
caseB(8,e,e,e,e,e,d,d,b)
caseB(9,e,e,e,e,e,e,d,b)
caseB(10,e,e,d,d,d,b,b,b)
case 11:
{
const ssize_t
offsets[16] = { e, e, e, e, e, e, e, e, e, e, e, e, e, e, d, b };
MixPixels(source,offsets,16,destination,destination_offset,channels);
break;
}
case 12:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[4] = { e, e, d, b };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
else
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
case 13:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[8] = { e, e, d, d, d, b, b, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
case 14:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[16] = { e, e, e, e, e, e, e, e, e, e, e, e, e, e, d, b };
MixPixels(source,offsets,16,destination,destination_offset,channels);
}
else
CopyPixels(source,e,destination,destination_offset,channels);
break;
}
case 15:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[4] = { e, e, d, b };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, a };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
case 16:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[8] = { e, e, e, e, e, e, d, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, a };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
case 17:
{
if (PixelsEqual(source,b,source,d,channels))
{
const ssize_t
offsets[8] = { e, e, d, d, d, b, b, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, a };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
case 18:
{
if (PixelsEqual(source,b,source,f,channels))
{
const ssize_t
offsets[8] = { e, e, e, e, e, b, b, d };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, d };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
default:
{
if (PixelsEqual(source,d,source,h,channels))
{
const ssize_t
offsets[8] = { e, e, e, e, e, d, d, b };
MixPixels(source,offsets,8,destination,destination_offset,channels);
}
else
{
const ssize_t
offsets[4] = { e, e, e, b };
MixPixels(source,offsets,4,destination,destination_offset,channels);
}
break;
}
}
#undef caseA
#undef caseB
}
static inline unsigned int Hq2XPatternToNumber(const int *pattern)
{
ssize_t
i;
unsigned int
result,
order;
result=0;
order=1;
for (i=7; i >= 0; i--)
{
result+=order*pattern[i];
order*=2;
}
return(result);
}
static inline void Hq2X(const Image *source,const Quantum *pixels,
Quantum *result,const size_t channels)
{
static const unsigned int
Hq2XTable[] =
{
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 15, 12, 5, 3, 17, 13,
4, 4, 6, 18, 4, 4, 6, 18, 5, 3, 12, 12, 5, 3, 1, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 17, 13, 5, 3, 16, 14,
4, 4, 6, 18, 4, 4, 6, 18, 5, 3, 16, 12, 5, 3, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 19, 12, 12, 5, 19, 16, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 16, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 19, 1, 12, 5, 19, 1, 14,
4, 4, 6, 2, 4, 4, 6, 18, 5, 3, 16, 12, 5, 19, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 15, 12, 5, 3, 17, 13,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 16, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 17, 13, 5, 3, 16, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 13, 5, 3, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 16, 13,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 1, 12,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 16, 12, 5, 3, 1, 14,
4, 4, 6, 2, 4, 4, 6, 2, 5, 3, 1, 12, 5, 3, 1, 14
};
const int
pattern1[] =
{
!PixelsEqual(pixels,4,pixels,8,channels),
!PixelsEqual(pixels,4,pixels,7,channels),
!PixelsEqual(pixels,4,pixels,6,channels),
!PixelsEqual(pixels,4,pixels,5,channels),
!PixelsEqual(pixels,4,pixels,3,channels),
!PixelsEqual(pixels,4,pixels,2,channels),
!PixelsEqual(pixels,4,pixels,1,channels),
!PixelsEqual(pixels,4,pixels,0,channels)
};
#define Rotated(p) p[2], p[4], p[7], p[1], p[6], p[0], p[3], p[5]
const int pattern2[] = { Rotated(pattern1) };
const int pattern3[] = { Rotated(pattern2) };
const int pattern4[] = { Rotated(pattern3) };
#undef Rotated
(void) source;
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern1)],pixels,result,0,
channels,4,0,1,3,5,7);
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern2)],pixels,result,1,
channels,4,2,5,1,7,3);
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern3)],pixels,result,3,
channels,4,8,7,5,3,1);
Hq2XHelper(Hq2XTable[Hq2XPatternToNumber(pattern4)],pixels,result,2,
channels,4,6,3,7,1,5);
}
static void Fish2X(const Image *source,const Quantum *pixels,Quantum *result,
const size_t channels)
{
#define Corner(A,B,C,D) \
{ \
if (intensities[B] > intensities[A]) \
{ \
ssize_t \
offsets[3] = { B, C, D }; \
\
MixPixels(pixels,offsets,3,result,3,channels); \
} \
else \
{ \
ssize_t \
offsets[3] = { A, B, C }; \
\
MixPixels(pixels,offsets,3,result,3,channels); \
} \
}
#define Line(A,B,C,D) \
{ \
if (intensities[C] > intensities[A]) \
Mix2Pixels(pixels,C,D,result,3,channels); \
else \
Mix2Pixels(pixels,A,B,result,3,channels); \
}
MagickFloatType
intensities[9];
int
ae,
bd,
ab,
ad,
be,
de;
ssize_t
i;
ssize_t
offsets[4] = { 0, 1, 3, 4 };
for (i=0; i < 9; i++)
intensities[i]=GetPixelIntensity(source,pixels + i*channels);
CopyPixels(pixels,0,result,0,channels);
CopyPixels(pixels,(ssize_t) (intensities[0] > intensities[1] ? 0 : 1),result,
1,channels);
CopyPixels(pixels,(ssize_t) (intensities[0] > intensities[3] ? 0 : 3),result,
2,channels);
ae=PixelsEqual(pixels,0,pixels,4,channels);
bd=PixelsEqual(pixels,1,pixels,3,channels);
ab=PixelsEqual(pixels,0,pixels,1,channels);
de=PixelsEqual(pixels,3,pixels,4,channels);
ad=PixelsEqual(pixels,0,pixels,3,channels);
be=PixelsEqual(pixels,1,pixels,4,channels);
if (ae && bd && ab)
{
CopyPixels(pixels,0,result,3,channels);
return;
}
if (ad && de && !ab)
{
Corner(1,0,4,3)
return;
}
if (be && de && !ab)
{
Corner(0,1,3,4)
return;
}
if (ad && ab && !be)
{
Corner(4,3,1,0)
return;
}
if (ab && be && !ad)
{
Corner(3,0,4,1)
return;
}
if (ae && (!bd || intensities[1] > intensities[0]))
{
Mix2Pixels(pixels,0,4,result,3,channels);
return;
}
if (bd && (!ae || intensities[0] > intensities[1]))
{
Mix2Pixels(pixels,1,3,result,3,channels);
return;
}
if (ab)
{
Line(0,1,3,4)
return;
}
if (de)
{
Line(3,4,0,1)
return;
}
if (ad)
{
Line(0,3,1,4)
return;
}
if (be)
{
Line(1,4,0,3)
return;
}
MixPixels(pixels,offsets,4,result,3,channels);
#undef Corner
#undef Line
}
static void Xbr2X(const Image *magick_unused(source),const Quantum *pixels,
Quantum *result,const size_t channels)
{
#define WeightVar(M,N) const int w_##M##_##N = \
PixelsEqual(pixels,M,pixels,N,channels) ? 0 : 1;
WeightVar(12,11)
WeightVar(12,7)
WeightVar(12,13)
WeightVar(12,17)
WeightVar(12,16)
WeightVar(12,8)
WeightVar(6,10)
WeightVar(6,2)
WeightVar(11,7)
WeightVar(11,17)
WeightVar(11,5)
WeightVar(7,13)
WeightVar(7,1)
WeightVar(12,6)
WeightVar(12,18)
WeightVar(8,14)
WeightVar(8,2)
WeightVar(13,17)
WeightVar(13,9)
WeightVar(7,3)
WeightVar(16,10)
WeightVar(16,22)
WeightVar(17,21)
WeightVar(11,15)
WeightVar(18,14)
WeightVar(18,22)
WeightVar(17,23)
WeightVar(17,19)
#undef WeightVar
magick_unreferenced(source);
if (
w_12_16 + w_12_8 + w_6_10 + w_6_2 + (4 * w_11_7) <
w_11_17 + w_11_5 + w_7_13 + w_7_1 + (4 * w_12_6)
)
Mix2Pixels(pixels,(ssize_t) (w_12_11 <= w_12_7 ? 11 : 7),12,result,0,
channels);
else
CopyPixels(pixels,12,result,0,channels);
if (
w_12_18 + w_12_6 + w_8_14 + w_8_2 + (4 * w_7_13) <
w_13_17 + w_13_9 + w_11_7 + w_7_3 + (4 * w_12_8)
)
Mix2Pixels(pixels,(ssize_t) (w_12_7 <= w_12_13 ? 7 : 13),12,result,1,
channels);
else
CopyPixels(pixels,12,result,1,channels);
if (
w_12_6 + w_12_18 + w_16_10 + w_16_22 + (4 * w_11_17) <
w_11_7 + w_11_15 + w_13_17 + w_17_21 + (4 * w_12_16)
)
Mix2Pixels(pixels,(ssize_t) (w_12_11 <= w_12_17 ? 11 : 17),12,result,2,
channels);
else
CopyPixels(pixels,12,result,2,channels);
if (
w_12_8 + w_12_16 + w_18_14 + w_18_22 + (4 * w_13_17) <
w_11_17 + w_17_23 + w_17_19 + w_7_13 + (4 * w_12_18)
)
Mix2Pixels(pixels,(ssize_t) (w_12_13 <= w_12_17 ? 13 : 17),12,result,3,
channels);
else
CopyPixels(pixels,12,result,3,channels);
}
static void Scale2X(const Image *magick_unused(source),const Quantum *pixels,
Quantum *result,const size_t channels)
{
magick_unreferenced(source);
if (PixelsEqual(pixels,1,pixels,7,channels) ||
PixelsEqual(pixels,3,pixels,5,channels))
{
ssize_t
i;
for (i=0; i < 4; i++)
CopyPixels(pixels,4,result,i,channels);
return;
}
if (PixelsEqual(pixels,1,pixels,3,channels))
CopyPixels(pixels,3,result,0,channels);
else
CopyPixels(pixels,4,result,0,channels);
if (PixelsEqual(pixels,1,pixels,5,channels))
CopyPixels(pixels,5,result,1,channels);
else
CopyPixels(pixels,4,result,1,channels);
if (PixelsEqual(pixels,3,pixels,7,channels))
CopyPixels(pixels,3,result,2,channels);
else
CopyPixels(pixels,4,result,2,channels);
if (PixelsEqual(pixels,5,pixels,7,channels))
CopyPixels(pixels,5,result,3,channels);
else
CopyPixels(pixels,4,result,3,channels);
}
static void Epbx2X(const Image *magick_unused(source),const Quantum *pixels,
Quantum *result,const size_t channels)
{
#define HelperCond(a,b,c,d,e,f,g) ( \
PixelsEqual(pixels,a,pixels,b,channels) && ( \
PixelsEqual(pixels,c,pixels,d,channels) || \
PixelsEqual(pixels,c,pixels,e,channels) || \
PixelsEqual(pixels,a,pixels,f,channels) || \
PixelsEqual(pixels,b,pixels,g,channels) \
) \
)
ssize_t
i;
magick_unreferenced(source);
for (i=0; i < 4; i++)
CopyPixels(pixels,4,result,i,channels);
if (
!PixelsEqual(pixels,3,pixels,5,channels) &&
!PixelsEqual(pixels,1,pixels,7,channels) &&
(
PixelsEqual(pixels,4,pixels,3,channels) ||
PixelsEqual(pixels,4,pixels,7,channels) ||
PixelsEqual(pixels,4,pixels,5,channels) ||
PixelsEqual(pixels,4,pixels,1,channels) ||
(
(
!PixelsEqual(pixels,0,pixels,8,channels) ||
PixelsEqual(pixels,4,pixels,6,channels) ||
PixelsEqual(pixels,3,pixels,2,channels)
) &&
(
!PixelsEqual(pixels,6,pixels,2,channels) ||
PixelsEqual(pixels,4,pixels,0,channels) ||
PixelsEqual(pixels,4,pixels,8,channels)
)
)
)
)
{
if (HelperCond(1,3,4,0,8,2,6))
Mix2Pixels(pixels,1,3,result,0,channels);
if (HelperCond(5,1,4,2,6,8,0))
Mix2Pixels(pixels,5,1,result,1,channels);
if (HelperCond(3,7,4,6,2,0,8))
Mix2Pixels(pixels,3,7,result,2,channels);
if (HelperCond(7,5,4,8,0,6,2))
Mix2Pixels(pixels,7,5,result,3,channels);
}
#undef HelperCond
}
static inline void Eagle3X(const Image *magick_unused(source),
const Quantum *pixels,Quantum *result,const size_t channels)
{
ssize_t
corner_tl,
corner_tr,
corner_bl,
corner_br;
magick_unreferenced(source);
corner_tl=PixelsEqual(pixels,0,pixels,1,channels) &&
PixelsEqual(pixels,0,pixels,3,channels);
corner_tr=PixelsEqual(pixels,1,pixels,2,channels) &&
PixelsEqual(pixels,2,pixels,5,channels);
corner_bl=PixelsEqual(pixels,3,pixels,6,channels) &&
PixelsEqual(pixels,6,pixels,7,channels);
corner_br=PixelsEqual(pixels,5,pixels,7,channels) &&
PixelsEqual(pixels,7,pixels,8,channels);
CopyPixels(pixels,(ssize_t) (corner_tl ? 0 : 4),result,0,channels);
if (corner_tl && corner_tr)
Mix2Pixels(pixels,0,2,result,1,channels);
else
CopyPixels(pixels,4,result,1,channels);
CopyPixels(pixels,(ssize_t) (corner_tr ? 1 : 4),result,2,channels);
if (corner_tl && corner_bl)
Mix2Pixels(pixels,0,6,result,3,channels);
else
CopyPixels(pixels,4,result,3,channels);
CopyPixels(pixels,4,result,4,channels);
if (corner_tr && corner_br)
Mix2Pixels(pixels,2,8,result,5,channels);
else
CopyPixels(pixels,4,result,5,channels);
CopyPixels(pixels,(ssize_t) (corner_bl ? 3 : 4),result,6,channels);
if (corner_bl && corner_br)
Mix2Pixels(pixels,6,8,result,7,channels);
else
CopyPixels(pixels,4,result,7,channels);
CopyPixels(pixels,(ssize_t) (corner_br ? 5 : 4),result,8,channels);
}
static inline void Eagle3XB(const Image *magick_unused(source),
const Quantum *pixels,Quantum *result,const size_t channels)
{
ssize_t
corner_tl,
corner_tr,
corner_bl,
corner_br;
magick_unreferenced(source);
corner_tl=PixelsEqual(pixels,0,pixels,1,channels) &&
PixelsEqual(pixels,0,pixels,3,channels);
corner_tr=PixelsEqual(pixels,1,pixels,2,channels) &&
PixelsEqual(pixels,2,pixels,5,channels);
corner_bl=PixelsEqual(pixels,3,pixels,6,channels) &&
PixelsEqual(pixels,6,pixels,7,channels);
corner_br=PixelsEqual(pixels,5,pixels,7,channels) &&
PixelsEqual(pixels,7,pixels,8,channels);
CopyPixels(pixels,(ssize_t) (corner_tl ? 0 : 4),result,0,channels);
CopyPixels(pixels,4,result,1,channels);
CopyPixels(pixels,(ssize_t) (corner_tr ? 1 : 4),result,2,channels);
CopyPixels(pixels,4,result,3,channels);
CopyPixels(pixels,4,result,4,channels);
CopyPixels(pixels,4,result,5,channels);
CopyPixels(pixels,(ssize_t) (corner_bl ? 3 : 4),result,6,channels);
CopyPixels(pixels,4,result,7,channels);
CopyPixels(pixels,(ssize_t) (corner_br ? 5 : 4),result,8,channels);
}
static inline void Scale3X(const Image *magick_unused(source),
const Quantum *pixels,Quantum *result,const size_t channels)
{
magick_unreferenced(source);
if (!PixelsEqual(pixels,1,pixels,7,channels) &&
!PixelsEqual(pixels,3,pixels,5,channels))
{
if (PixelsEqual(pixels,3,pixels,1,channels))
CopyPixels(pixels,3,result,0,channels);
else
CopyPixels(pixels,4,result,0,channels);
if (
(
PixelsEqual(pixels,3,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,2,channels)
) ||
(
PixelsEqual(pixels,5,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,0,channels)
)
)
CopyPixels(pixels,1,result,1,channels);
else
CopyPixels(pixels,4,result,1,channels);
if (PixelsEqual(pixels,5,pixels,1,channels))
CopyPixels(pixels,5,result,2,channels);
else
CopyPixels(pixels,4,result,2,channels);
if (
(
PixelsEqual(pixels,3,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,6,channels)
) ||
(
PixelsEqual(pixels,3,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,0,channels)
)
)
CopyPixels(pixels,3,result,3,channels);
else
CopyPixels(pixels,4,result,3,channels);
CopyPixels(pixels,4,result,4,channels);
if (
(
PixelsEqual(pixels,5,pixels,1,channels) &&
!PixelsEqual(pixels,4,pixels,8,channels)
) ||
(
PixelsEqual(pixels,5,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,2,channels)
)
)
CopyPixels(pixels,5,result,5,channels);
else
CopyPixels(pixels,4,result,5,channels);
if (PixelsEqual(pixels,3,pixels,7,channels))
CopyPixels(pixels,3,result,6,channels);
else
CopyPixels(pixels,4,result,6,channels);
if (
(
PixelsEqual(pixels,3,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,8,channels)
) ||
(
PixelsEqual(pixels,5,pixels,7,channels) &&
!PixelsEqual(pixels,4,pixels,6,channels)
)
)
CopyPixels(pixels,7,result,7,channels);
else
CopyPixels(pixels,4,result,7,channels);
if (PixelsEqual(pixels,5,pixels,7,channels))
CopyPixels(pixels,5,result,8,channels);
else
CopyPixels(pixels,4,result,8,channels);
}
else
{
ssize_t
i;
for (i=0; i < 9; i++)
CopyPixels(pixels,4,result,i,channels);
}
}
MagickExport Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
{
#define MagnifyImageTag "Magnify/Image"
CacheView
*image_view,
*magnify_view;
const char
*option;
Image
*source_image,
*magnify_image;
MagickBooleanType
status;
MagickOffsetType
progress;
OffsetInfo
offset;
RectangleInfo
rectangle;
ssize_t
y;
unsigned char
magnification,
width;
void
(*scaling_method)(const Image *,const Quantum *,Quantum *,size_t);
/*
Initialize magnified 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);
option=GetImageOption(image->image_info,"magnify:method");
if (option == (char *) NULL)
option="scale2x";
scaling_method=Scale2X;
magnification=1;
width=1;
switch (*option)
{
case 'e':
{
if (LocaleCompare(option,"eagle2x") == 0)
{
scaling_method=Eagle2X;
magnification=2;
width=3;
break;
}
if (LocaleCompare(option,"eagle3x") == 0)
{
scaling_method=Eagle3X;
magnification=3;
width=3;
break;
}
if (LocaleCompare(option,"eagle3xb") == 0)
{
scaling_method=Eagle3XB;
magnification=3;
width=3;
break;
}
if (LocaleCompare(option,"epbx2x") == 0)
{
scaling_method=Epbx2X;
magnification=2;
width=3;
break;
}
break;
}
case 'f':
{
if (LocaleCompare(option,"fish2x") == 0)
{
scaling_method=Fish2X;
magnification=2;
width=3;
break;
}
break;
}
case 'h':
{
if (LocaleCompare(option,"hq2x") == 0)
{
scaling_method=Hq2X;
magnification=2;
width=3;
break;
}
break;
}
case 's':
{
if (LocaleCompare(option,"scale2x") == 0)
{
scaling_method=Scale2X;
magnification=2;
width=3;
break;
}
if (LocaleCompare(option,"scale3x") == 0)
{
scaling_method=Scale3X;
magnification=3;
width=3;
break;
}
break;
}
case 'x':
{
if (LocaleCompare(option,"xbr2x") == 0)
{
scaling_method=Xbr2X;
magnification=2;
width=5;
}
break;
}
default:
break;
}
/*
Make a working copy of the source image and convert it to RGB colorspace.
*/
source_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (source_image == (Image *) NULL)
return((Image *) NULL);
offset.x=0;
offset.y=0;
rectangle.x=0;
rectangle.y=0;
rectangle.width=image->columns;
rectangle.height=image->rows;
(void) CopyImagePixels(source_image,image,&rectangle,&offset,exception);
(void) SetImageColorspace(source_image,RGBColorspace,exception);
magnify_image=CloneImage(source_image,magnification*source_image->columns,
magnification*source_image->rows,MagickTrue,exception);
if (magnify_image == (Image *) NULL)
{
source_image=DestroyImage(source_image);
return((Image *) NULL);
}
/*
Magnify the image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(source_image,exception);
magnify_view=AcquireAuthenticCacheView(magnify_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,magnify_image,source_image->rows,1)
#endif
for (y=0; y < (ssize_t) source_image->rows; y++)
{
Quantum
r[128]; /* to hold result pixels */
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(magnify_view,0,magnification*y,
magnify_image->columns,magnification,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
/*
Magnify this row of pixels.
*/
for (x=0; x < (ssize_t) source_image->columns; x++)
{
const Quantum
*magick_restrict p;
size_t
channels;
ssize_t
i;
ssize_t
j;
p=GetCacheViewVirtualPixels(image_view,x-width/2,y-width/2,width,width,
exception);
channels=GetPixelChannels(source_image);
scaling_method(source_image,p,r,channels);
/*
Copy the result pixels into the final image.
*/
for (j=0; j < (ssize_t) magnification; j++)
for (i=0; i < (ssize_t) (channels*magnification); i++)
q[j*channels*magnify_image->columns+i]=r[j*magnification*channels+i];
q+=magnification*GetPixelChannels(magnify_image);
}
if (SyncCacheViewAuthenticPixels(magnify_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,MagnifyImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
magnify_view=DestroyCacheView(magnify_view);
image_view=DestroyCacheView(image_view);
source_image=DestroyImage(source_image);
if (status == MagickFalse)
magnify_image=DestroyImage(magnify_image);
return(magnify_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M i n i f y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MinifyImage() is a convenience method that scales an image proportionally to
% half its size.
%
% The format of the MinifyImage method is:
%
% Image *MinifyImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MinifyImage(const Image *image,ExceptionInfo *exception)
{
Image
*minify_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);
minify_image=ResizeImage(image,image->columns/2,image->rows/2,SplineFilter,
exception);
return(minify_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s a m p l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResampleImage() resize image in terms of its pixel size, so that when
% displayed at the given resolution it will be the same size in terms of
% real world units as the original image at the original resolution.
%
% The format of the ResampleImage method is:
%
% Image *ResampleImage(Image *image,const double x_resolution,
% const double y_resolution,const FilterType filter,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image to be resized to fit the given resolution.
%
% o x_resolution: the new image x resolution.
%
% o y_resolution: the new image y resolution.
%
% o filter: Image filter to use.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ResampleImage(const Image *image,const double x_resolution,
const double y_resolution,const FilterType filter,ExceptionInfo *exception)
{
#define ResampleImageTag "Resample/Image"
Image
*resample_image;
size_t
height,
width;
/*
Initialize sampled image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
width=(size_t) (x_resolution*image->columns/(image->resolution.x == 0.0 ?
DefaultResolution : image->resolution.x)+0.5);
height=(size_t) (y_resolution*image->rows/(image->resolution.y == 0.0 ?
DefaultResolution : image->resolution.y)+0.5);
resample_image=ResizeImage(image,width,height,filter,exception);
if (resample_image != (Image *) NULL)
{
resample_image->resolution.x=x_resolution;
resample_image->resolution.y=y_resolution;
}
return(resample_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResizeImage() scales an image to the desired dimensions, using the given
% filter (see AcquireFilterInfo()).
%
% If an undefined filter is given the filter defaults to Mitchell for a
% colormapped image, a image with a matte channel, or if the image is
% enlarged. Otherwise the filter defaults to a Lanczos.
%
% ResizeImage() was inspired by Paul Heckbert's "zoom" program.
%
% The format of the ResizeImage method is:
%
% Image *ResizeImage(Image *image,const size_t columns,const size_t rows,
% const FilterType filter,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the scaled image.
%
% o rows: the number of rows in the scaled image.
%
% o filter: Image filter to use.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef struct _ContributionInfo
{
double
weight;
ssize_t
pixel;
} ContributionInfo;
static ContributionInfo **DestroyContributionThreadSet(
ContributionInfo **contribution)
{
ssize_t
i;
assert(contribution != (ContributionInfo **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (contribution[i] != (ContributionInfo *) NULL)
contribution[i]=(ContributionInfo *) RelinquishAlignedMemory(
contribution[i]);
contribution=(ContributionInfo **) RelinquishMagickMemory(contribution);
return(contribution);
}
static ContributionInfo **AcquireContributionThreadSet(const size_t count)
{
ssize_t
i;
ContributionInfo
**contribution;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
contribution=(ContributionInfo **) AcquireQuantumMemory(number_threads,
sizeof(*contribution));
if (contribution == (ContributionInfo **) NULL)
return((ContributionInfo **) NULL);
(void) memset(contribution,0,number_threads*sizeof(*contribution));
for (i=0; i < (ssize_t) number_threads; i++)
{
contribution[i]=(ContributionInfo *) MagickAssumeAligned(
AcquireAlignedMemory(count,sizeof(**contribution)));
if (contribution[i] == (ContributionInfo *) NULL)
return(DestroyContributionThreadSet(contribution));
}
return(contribution);
}
static MagickBooleanType HorizontalFilter(
const ResizeFilter *magick_restrict resize_filter,
const Image *magick_restrict image,Image *magick_restrict resize_image,
const double x_factor,const MagickSizeType span,
MagickOffsetType *magick_restrict progress,ExceptionInfo *exception)
{
#define ResizeImageTag "Resize/Image"
CacheView
*image_view,
*resize_view;
ClassType
storage_class;
ContributionInfo
**magick_restrict contributions;
MagickBooleanType
status;
double
scale,
support;
ssize_t
x;
/*
Apply filter to resize horizontally from image to resize image.
*/
scale=MagickMax(1.0/x_factor+MagickEpsilon,1.0);
support=scale*GetResizeFilterSupport(resize_filter);
storage_class=support > 0.5 ? DirectClass : image->storage_class;
if (SetImageStorageClass(resize_image,storage_class,exception) == MagickFalse)
return(MagickFalse);
if (support < 0.5)
{
/*
Support too small even for nearest neighbour: Reduce to point sampling.
*/
support=(double) 0.5;
scale=1.0;
}
contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
if (contributions == (ContributionInfo **) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
status=MagickTrue;
scale=PerceptibleReciprocal(scale);
image_view=AcquireVirtualCacheView(image,exception);
resize_view=AcquireAuthenticCacheView(resize_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,resize_image,resize_image->columns,1)
#endif
for (x=0; x < (ssize_t) resize_image->columns; x++)
{
const int
id = GetOpenMPThreadId();
double
bisect,
density;
const Quantum
*magick_restrict p;
ContributionInfo
*magick_restrict contribution;
Quantum
*magick_restrict q;
ssize_t
y;
ssize_t
n,
start,
stop;
if (status == MagickFalse)
continue;
bisect=(double) (x+0.5)/x_factor+MagickEpsilon;
start=(ssize_t) MagickMax(bisect-support+0.5,0.0);
stop=(ssize_t) MagickMin(bisect+support+0.5,(double) image->columns);
density=0.0;
contribution=contributions[id];
for (n=0; n < (stop-start); n++)
{
contribution[n].pixel=start+n;
contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
((double) (start+n)-bisect+0.5));
density+=contribution[n].weight;
}
if (n == 0)
continue;
if ((density != 0.0) && (density != 1.0))
{
ssize_t
i;
/*
Normalize.
*/
density=PerceptibleReciprocal(density);
for (i=0; i < n; i++)
contribution[i].weight*=density;
}
p=GetCacheViewVirtualPixels(image_view,contribution[0].pixel,0,(size_t)
(contribution[n-1].pixel-contribution[0].pixel+1),image->rows,exception);
q=QueueCacheViewAuthenticPixels(resize_view,x,0,1,resize_image->rows,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (y=0; y < (ssize_t) resize_image->rows; y++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
resize_traits,
traits;
ssize_t
j;
ssize_t
k;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
resize_traits=GetPixelChannelTraits(resize_image,channel);
if ((traits == UndefinedPixelTrait) ||
(resize_traits == UndefinedPixelTrait))
continue;
if (((resize_traits & CopyPixelTrait) != 0) ||
(GetPixelWriteMask(resize_image,q) <= (QuantumRange/2)))
{
j=(ssize_t) (MagickMin(MagickMax(bisect,(double) start),(double)
stop-1.0)+0.5);
k=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
(contribution[j-start].pixel-contribution[0].pixel);
SetPixelChannel(resize_image,channel,p[k*GetPixelChannels(image)+i],
q);
continue;
}
pixel=0.0;
if ((resize_traits & BlendPixelTrait) == 0)
{
/*
No alpha blending.
*/
for (j=0; j < n; j++)
{
k=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
(contribution[j].pixel-contribution[0].pixel);
alpha=contribution[j].weight;
pixel+=alpha*p[k*GetPixelChannels(image)+i];
}
SetPixelChannel(resize_image,channel,ClampToQuantum(pixel),q);
continue;
}
/*
Alpha blending.
*/
gamma=0.0;
for (j=0; j < n; j++)
{
k=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
(contribution[j].pixel-contribution[0].pixel);
alpha=contribution[j].weight*QuantumScale*
GetPixelAlpha(image,p+k*GetPixelChannels(image));
pixel+=alpha*p[k*GetPixelChannels(image)+i];
gamma+=alpha;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(resize_image,channel,ClampToQuantum(gamma*pixel),q);
}
q+=GetPixelChannels(resize_image);
}
if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
(*progress)++;
proceed=SetImageProgress(image,ResizeImageTag,*progress,span);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
resize_view=DestroyCacheView(resize_view);
image_view=DestroyCacheView(image_view);
contributions=DestroyContributionThreadSet(contributions);
return(status);
}
static MagickBooleanType VerticalFilter(
const ResizeFilter *magick_restrict resize_filter,
const Image *magick_restrict image,Image *magick_restrict resize_image,
const double y_factor,const MagickSizeType span,
MagickOffsetType *magick_restrict progress,ExceptionInfo *exception)
{
CacheView
*image_view,
*resize_view;
ClassType
storage_class;
ContributionInfo
**magick_restrict contributions;
double
scale,
support;
MagickBooleanType
status;
ssize_t
y;
/*
Apply filter to resize vertically from image to resize image.
*/
scale=MagickMax(1.0/y_factor+MagickEpsilon,1.0);
support=scale*GetResizeFilterSupport(resize_filter);
storage_class=support > 0.5 ? DirectClass : image->storage_class;
if (SetImageStorageClass(resize_image,storage_class,exception) == MagickFalse)
return(MagickFalse);
if (support < 0.5)
{
/*
Support too small even for nearest neighbour: Reduce to point sampling.
*/
support=(double) 0.5;
scale=1.0;
}
contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
if (contributions == (ContributionInfo **) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
status=MagickTrue;
scale=PerceptibleReciprocal(scale);
image_view=AcquireVirtualCacheView(image,exception);
resize_view=AcquireAuthenticCacheView(resize_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,resize_image,resize_image->rows,1)
#endif
for (y=0; y < (ssize_t) resize_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
double
bisect,
density;
const Quantum
*magick_restrict p;
ContributionInfo
*magick_restrict contribution;
Quantum
*magick_restrict q;
ssize_t
x;
ssize_t
n,
start,
stop;
if (status == MagickFalse)
continue;
bisect=(double) (y+0.5)/y_factor+MagickEpsilon;
start=(ssize_t) MagickMax(bisect-support+0.5,0.0);
stop=(ssize_t) MagickMin(bisect+support+0.5,(double) image->rows);
density=0.0;
contribution=contributions[id];
for (n=0; n < (stop-start); n++)
{
contribution[n].pixel=start+n;
contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
((double) (start+n)-bisect+0.5));
density+=contribution[n].weight;
}
if (n == 0)
continue;
if ((density != 0.0) && (density != 1.0))
{
ssize_t
i;
/*
Normalize.
*/
density=PerceptibleReciprocal(density);
for (i=0; i < n; i++)
contribution[i].weight*=density;
}
p=GetCacheViewVirtualPixels(image_view,0,contribution[0].pixel,
image->columns,(size_t) (contribution[n-1].pixel-contribution[0].pixel+1),
exception);
q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) resize_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
resize_traits,
traits;
ssize_t
j;
ssize_t
k;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
resize_traits=GetPixelChannelTraits(resize_image,channel);
if ((traits == UndefinedPixelTrait) ||
(resize_traits == UndefinedPixelTrait))
continue;
if (((resize_traits & CopyPixelTrait) != 0) ||
(GetPixelWriteMask(resize_image,q) <= (QuantumRange/2)))
{
j=(ssize_t) (MagickMin(MagickMax(bisect,(double) start),(double)
stop-1.0)+0.5);
k=(ssize_t) ((contribution[j-start].pixel-contribution[0].pixel)*
image->columns+x);
SetPixelChannel(resize_image,channel,p[k*GetPixelChannels(image)+i],
q);
continue;
}
pixel=0.0;
if ((resize_traits & BlendPixelTrait) == 0)
{
/*
No alpha blending.
*/
for (j=0; j < n; j++)
{
k=(ssize_t) ((contribution[j].pixel-contribution[0].pixel)*
image->columns+x);
alpha=contribution[j].weight;
pixel+=alpha*p[k*GetPixelChannels(image)+i];
}
SetPixelChannel(resize_image,channel,ClampToQuantum(pixel),q);
continue;
}
gamma=0.0;
for (j=0; j < n; j++)
{
k=(ssize_t) ((contribution[j].pixel-contribution[0].pixel)*
image->columns+x);
alpha=contribution[j].weight*QuantumScale*GetPixelAlpha(image,p+k*
GetPixelChannels(image));
pixel+=alpha*p[k*GetPixelChannels(image)+i];
gamma+=alpha;
}
gamma=PerceptibleReciprocal(gamma);
SetPixelChannel(resize_image,channel,ClampToQuantum(gamma*pixel),q);
}
q+=GetPixelChannels(resize_image);
}
if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
(*progress)++;
proceed=SetImageProgress(image,ResizeImageTag,*progress,span);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
resize_view=DestroyCacheView(resize_view);
image_view=DestroyCacheView(image_view);
contributions=DestroyContributionThreadSet(contributions);
return(status);
}
MagickExport Image *ResizeImage(const Image *image,const size_t columns,
const size_t rows,const FilterType filter,ExceptionInfo *exception)
{
double
x_factor,
y_factor;
FilterType
filter_type;
Image
*filter_image,
*resize_image;
MagickOffsetType
offset;
MagickSizeType
span;
MagickStatusType
status;
ResizeFilter
*resize_filter;
/*
Acquire resize 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);
if ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows) &&
(filter == UndefinedFilter))
return(CloneImage(image,0,0,MagickTrue,exception));
/*
Acquire resize filter.
*/
x_factor=(double) columns/(double) image->columns;
y_factor=(double) rows/(double) image->rows;
filter_type=LanczosFilter;
if (filter != UndefinedFilter)
filter_type=filter;
else
if ((x_factor == 1.0) && (y_factor == 1.0))
filter_type=PointFilter;
else
if ((image->storage_class == PseudoClass) ||
(image->alpha_trait != UndefinedPixelTrait) ||
((x_factor*y_factor) > 1.0))
filter_type=MitchellFilter;
resize_filter=AcquireResizeFilter(image,filter_type,MagickFalse,exception);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
resize_image=AccelerateResizeImage(image,columns,rows,resize_filter,
exception);
if (resize_image != (Image *) NULL)
{
resize_filter=DestroyResizeFilter(resize_filter);
return(resize_image);
}
#endif
resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (resize_image == (Image *) NULL)
{
resize_filter=DestroyResizeFilter(resize_filter);
return(resize_image);
}
if (x_factor > y_factor)
filter_image=CloneImage(image,columns,image->rows,MagickTrue,exception);
else
filter_image=CloneImage(image,image->columns,rows,MagickTrue,exception);
if (filter_image == (Image *) NULL)
{
resize_filter=DestroyResizeFilter(resize_filter);
return(DestroyImage(resize_image));
}
/*
Resize image.
*/
offset=0;
if (x_factor > y_factor)
{
span=(MagickSizeType) (filter_image->columns+rows);
status=HorizontalFilter(resize_filter,image,filter_image,x_factor,span,
&offset,exception);
status&=VerticalFilter(resize_filter,filter_image,resize_image,y_factor,
span,&offset,exception);
}
else
{
span=(MagickSizeType) (filter_image->rows+columns);
status=VerticalFilter(resize_filter,image,filter_image,y_factor,span,
&offset,exception);
status&=HorizontalFilter(resize_filter,filter_image,resize_image,x_factor,
span,&offset,exception);
}
/*
Free resources.
*/
filter_image=DestroyImage(filter_image);
resize_filter=DestroyResizeFilter(resize_filter);
if (status == MagickFalse)
{
resize_image=DestroyImage(resize_image);
return((Image *) NULL);
}
resize_image->type=image->type;
return(resize_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S a m p l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SampleImage() scales an image to the desired dimensions with pixel
% sampling. Unlike other scaling methods, this method does not introduce
% any additional color into the scaled image.
%
% The format of the SampleImage method is:
%
% Image *SampleImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the sampled image.
%
% o rows: the number of rows in the sampled image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SampleImage(const Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
#define SampleImageTag "Sample/Image"
CacheView
*image_view,
*sample_view;
Image
*sample_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
x1;
ssize_t
*x_offset,
y;
PointInfo
sample_offset;
/*
Initialize sampled 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 ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
sample_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (sample_image == (Image *) NULL)
return((Image *) NULL);
/*
Set the sampling offset, default is in the mid-point of sample regions.
*/
sample_offset.x=sample_offset.y=0.5-MagickEpsilon;
{
const char
*value;
value=GetImageArtifact(image,"sample:offset");
if (value != (char *) NULL)
{
GeometryInfo
geometry_info;
MagickStatusType
flags;
(void) ParseGeometry(value,&geometry_info);
flags=ParseGeometry(value,&geometry_info);
sample_offset.x=sample_offset.y=geometry_info.rho/100.0-MagickEpsilon;
if ((flags & SigmaValue) != 0)
sample_offset.y=geometry_info.sigma/100.0-MagickEpsilon;
}
}
/*
Allocate scan line buffer and column offset buffers.
*/
x_offset=(ssize_t *) AcquireQuantumMemory((size_t) sample_image->columns,
sizeof(*x_offset));
if (x_offset == (ssize_t *) NULL)
{
sample_image=DestroyImage(sample_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
for (x1=0; x1 < (ssize_t) sample_image->columns; x1++)
x_offset[x1]=(ssize_t) ((((double) x1+sample_offset.x)*image->columns)/
sample_image->columns);
/*
Sample each row.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
sample_view=AcquireAuthenticCacheView(sample_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,sample_image,sample_image->rows,1)
#endif
for (y=0; y < (ssize_t) sample_image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
ssize_t
y_offset;
if (status == MagickFalse)
continue;
y_offset=(ssize_t) ((((double) y+sample_offset.y)*image->rows)/
sample_image->rows);
p=GetCacheViewVirtualPixels(image_view,0,y_offset,image->columns,1,
exception);
q=QueueCacheViewAuthenticPixels(sample_view,0,y,sample_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
/*
Sample each column.
*/
for (x=0; x < (ssize_t) sample_image->columns; x++)
{
ssize_t
i;
if (GetPixelWriteMask(sample_image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(sample_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(sample_image); i++)
{
PixelChannel
channel;
PixelTrait
image_traits,
traits;
channel=GetPixelChannelChannel(sample_image,i);
traits=GetPixelChannelTraits(sample_image,channel);
image_traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(image_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(sample_image,channel,p[x_offset[x]*GetPixelChannels(
image)+i],q);
}
q+=GetPixelChannels(sample_image);
}
if (SyncCacheViewAuthenticPixels(sample_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SampleImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
sample_view=DestroyCacheView(sample_view);
x_offset=(ssize_t *) RelinquishMagickMemory(x_offset);
sample_image->type=image->type;
if (status == MagickFalse)
sample_image=DestroyImage(sample_image);
return(sample_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ScaleImage() changes the size of an image to the given dimensions.
%
% The format of the ScaleImage method is:
%
% Image *ScaleImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the scaled image.
%
% o rows: the number of rows in the scaled image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ScaleImage(const Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
#define ScaleImageTag "Scale/Image"
CacheView
*image_view,
*scale_view;
double
alpha,
pixel[CompositePixelChannel],
*scale_scanline,
*scanline,
*x_vector,
*y_vector;
Image
*scale_image;
MagickBooleanType
next_column,
next_row,
proceed,
status;
PixelTrait
scale_traits;
PointInfo
scale,
span;
ssize_t
i;
ssize_t
n,
number_rows,
y;
/*
Initialize scaled 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 ((columns == 0) || (rows == 0))
ThrowImageException(ImageError,"NegativeOrZeroImageSize");
if ((columns == image->columns) && (rows == image->rows))
return(CloneImage(image,0,0,MagickTrue,exception));
scale_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (scale_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(scale_image,DirectClass,exception) == MagickFalse)
{
scale_image=DestroyImage(scale_image);
return((Image *) NULL);
}
/*
Allocate memory.
*/
x_vector=(double *) AcquireQuantumMemory((size_t) image->columns,
MaxPixelChannels*sizeof(*x_vector));
scanline=x_vector;
if (image->rows != scale_image->rows)
scanline=(double *) AcquireQuantumMemory((size_t) image->columns,
MaxPixelChannels*sizeof(*scanline));
scale_scanline=(double *) AcquireQuantumMemory((size_t) scale_image->columns,
MaxPixelChannels*sizeof(*scale_scanline));
y_vector=(double *) AcquireQuantumMemory((size_t) image->columns,
MaxPixelChannels*sizeof(*y_vector));
if ((scanline == (double *) NULL) || (scale_scanline == (double *) NULL) ||
(x_vector == (double *) NULL) || (y_vector == (double *) NULL))
{
if ((image->rows != scale_image->rows) && (scanline != (double *) NULL))
scanline=(double *) RelinquishMagickMemory(scanline);
if (scale_scanline != (double *) NULL)
scale_scanline=(double *) RelinquishMagickMemory(scale_scanline);
if (x_vector != (double *) NULL)
x_vector=(double *) RelinquishMagickMemory(x_vector);
if (y_vector != (double *) NULL)
y_vector=(double *) RelinquishMagickMemory(y_vector);
scale_image=DestroyImage(scale_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Scale image.
*/
number_rows=0;
next_row=MagickTrue;
span.y=1.0;
scale.y=(double) scale_image->rows/(double) image->rows;
(void) memset(y_vector,0,(size_t) MaxPixelChannels*image->columns*
sizeof(*y_vector));
n=0;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
scale_view=AcquireAuthenticCacheView(scale_image,exception);
for (y=0; y < (ssize_t) scale_image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
break;
q=QueueCacheViewAuthenticPixels(scale_view,0,y,scale_image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
break;
}
alpha=1.0;
if (scale_image->rows == image->rows)
{
/*
Read a new scanline.
*/
p=GetCacheViewVirtualPixels(image_view,0,n++,image->columns,1,
exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelWriteMask(image,p) <= (QuantumRange/2))
{
p+=GetPixelChannels(image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
alpha=QuantumScale*GetPixelAlpha(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & BlendPixelTrait) == 0)
{
x_vector[x*GetPixelChannels(image)+i]=(double) p[i];
continue;
}
x_vector[x*GetPixelChannels(image)+i]=alpha*p[i];
}
p+=GetPixelChannels(image);
}
}
else
{
/*
Scale Y direction.
*/
while (scale.y < span.y)
{
if ((next_row != MagickFalse) &&
(number_rows < (ssize_t) image->rows))
{
/*
Read a new scanline.
*/
p=GetCacheViewVirtualPixels(image_view,0,n++,image->columns,1,
exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelWriteMask(image,p) <= (QuantumRange/2))
{
p+=GetPixelChannels(image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
alpha=QuantumScale*GetPixelAlpha(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & BlendPixelTrait) == 0)
{
x_vector[x*GetPixelChannels(image)+i]=(double) p[i];
continue;
}
x_vector[x*GetPixelChannels(image)+i]=alpha*p[i];
}
p+=GetPixelChannels(image);
}
number_rows++;
}
for (x=0; x < (ssize_t) image->columns; x++)
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
y_vector[x*GetPixelChannels(image)+i]+=scale.y*
x_vector[x*GetPixelChannels(image)+i];
span.y-=scale.y;
scale.y=(double) scale_image->rows/(double) image->rows;
next_row=MagickTrue;
}
if ((next_row != MagickFalse) && (number_rows < (ssize_t) image->rows))
{
/*
Read a new scanline.
*/
p=GetCacheViewVirtualPixels(image_view,0,n++,image->columns,1,
exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelWriteMask(image,p) <= (QuantumRange/2))
{
p+=GetPixelChannels(image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
alpha=QuantumScale*GetPixelAlpha(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & BlendPixelTrait) == 0)
{
x_vector[x*GetPixelChannels(image)+i]=(double) p[i];
continue;
}
x_vector[x*GetPixelChannels(image)+i]=alpha*p[i];
}
p+=GetPixelChannels(image);
}
number_rows++;
next_row=MagickFalse;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
pixel[i]=y_vector[x*GetPixelChannels(image)+i]+span.y*
x_vector[x*GetPixelChannels(image)+i];
scanline[x*GetPixelChannels(image)+i]=pixel[i];
y_vector[x*GetPixelChannels(image)+i]=0.0;
}
}
scale.y-=span.y;
if (scale.y <= 0)
{
scale.y=(double) scale_image->rows/(double) image->rows;
next_row=MagickTrue;
}
span.y=1.0;
}
if (scale_image->columns == image->columns)
{
/*
Transfer scanline to scaled image.
*/
for (x=0; x < (ssize_t) scale_image->columns; x++)
{
if (GetPixelWriteMask(scale_image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(scale_image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
{
alpha=QuantumScale*scanline[x*GetPixelChannels(image)+
GetPixelChannelOffset(image,AlphaPixelChannel)];
alpha=PerceptibleReciprocal(alpha);
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
scale_traits=GetPixelChannelTraits(scale_image,channel);
if ((traits == UndefinedPixelTrait) ||
(scale_traits == UndefinedPixelTrait))
continue;
if ((traits & BlendPixelTrait) == 0)
{
SetPixelChannel(scale_image,channel,ClampToQuantum(
scanline[x*GetPixelChannels(image)+i]),q);
continue;
}
SetPixelChannel(scale_image,channel,ClampToQuantum(alpha*scanline[
x*GetPixelChannels(image)+i]),q);
}
q+=GetPixelChannels(scale_image);
}
}
else
{
ssize_t
t;
/*
Scale X direction.
*/
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]=0.0;
next_column=MagickFalse;
span.x=1.0;
t=0;
for (x=0; x < (ssize_t) image->columns; x++)
{
scale.x=(double) scale_image->columns/(double) image->columns;
while (scale.x >= span.x)
{
if (next_column != MagickFalse)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]=0.0;
t++;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
pixel[i]+=span.x*scanline[x*GetPixelChannels(image)+i];
scale_scanline[t*GetPixelChannels(image)+i]=pixel[i];
}
scale.x-=span.x;
span.x=1.0;
next_column=MagickTrue;
}
if (scale.x > 0)
{
if (next_column != MagickFalse)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]=0.0;
next_column=MagickFalse;
t++;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]+=scale.x*scanline[x*GetPixelChannels(image)+i];
span.x-=scale.x;
}
}
if (span.x > 0)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
pixel[i]+=span.x*scanline[(x-1)*GetPixelChannels(image)+i];
}
if ((next_column == MagickFalse) && (t < (ssize_t) scale_image->columns))
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
scale_scanline[t*GetPixelChannels(image)+i]=pixel[i];
/*
Transfer scanline to scaled image.
*/
for (x=0; x < (ssize_t) scale_image->columns; x++)
{
if (GetPixelWriteMask(scale_image,q) <= (QuantumRange/2))
{
q+=GetPixelChannels(scale_image);
continue;
}
if (image->alpha_trait != UndefinedPixelTrait)
{
alpha=QuantumScale*scale_scanline[x*GetPixelChannels(image)+
GetPixelChannelOffset(image,AlphaPixelChannel)];
alpha=PerceptibleReciprocal(alpha);
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
scale_traits=GetPixelChannelTraits(scale_image,channel);
if ((traits == UndefinedPixelTrait) ||
(scale_traits == UndefinedPixelTrait))
continue;
if ((traits & BlendPixelTrait) == 0)
{
SetPixelChannel(scale_image,channel,ClampToQuantum(
scale_scanline[x*GetPixelChannels(image)+i]),q);
continue;
}
SetPixelChannel(scale_image,channel,ClampToQuantum(alpha*
scale_scanline[x*GetPixelChannels(image)+i]),q);
}
q+=GetPixelChannels(scale_image);
}
}
if (SyncCacheViewAuthenticPixels(scale_view,exception) == MagickFalse)
{
status=MagickFalse;
break;
}
proceed=SetImageProgress(image,ScaleImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
{
status=MagickFalse;
break;
}
}
scale_view=DestroyCacheView(scale_view);
image_view=DestroyCacheView(image_view);
/*
Free allocated memory.
*/
y_vector=(double *) RelinquishMagickMemory(y_vector);
scale_scanline=(double *) RelinquishMagickMemory(scale_scanline);
if (scale_image->rows != image->rows)
scanline=(double *) RelinquishMagickMemory(scanline);
x_vector=(double *) RelinquishMagickMemory(x_vector);
scale_image->type=image->type;
if (status == MagickFalse)
scale_image=DestroyImage(scale_image);
return(scale_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T h u m b n a i l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ThumbnailImage() changes the size of an image to the given dimensions and
% removes any associated profiles. The goal is to produce small low cost
% thumbnail images suited for display on the Web.
%
% The format of the ThumbnailImage method is:
%
% Image *ThumbnailImage(const Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the scaled image.
%
% o rows: the number of rows in the scaled image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ThumbnailImage(const Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
#define SampleFactor 5
char
filename[MagickPathExtent],
value[MagickPathExtent];
const char
*name;
Image
*thumbnail_image;
double
x_factor,
y_factor;
struct stat
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);
x_factor=(double) columns/(double) image->columns;
y_factor=(double) rows/(double) image->rows;
if ((x_factor*y_factor) > 0.1)
thumbnail_image=ResizeImage(image,columns,rows,image->filter,exception);
else
if (((SampleFactor*columns) < 128) || ((SampleFactor*rows) < 128))
thumbnail_image=ResizeImage(image,columns,rows,image->filter,exception);
else
{
Image
*sample_image;
sample_image=SampleImage(image,SampleFactor*columns,SampleFactor*rows,
exception);
if (sample_image == (Image *) NULL)
return((Image *) NULL);
thumbnail_image=ResizeImage(sample_image,columns,rows,image->filter,
exception);
sample_image=DestroyImage(sample_image);
}
if (thumbnail_image == (Image *) NULL)
return(thumbnail_image);
(void) ParseAbsoluteGeometry("0x0+0+0",&thumbnail_image->page);
if (thumbnail_image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(thumbnail_image,OpaqueAlphaChannel,exception);
thumbnail_image->depth=8;
thumbnail_image->interlace=NoInterlace;
/*
Strip all profiles except color profiles.
*/
ResetImageProfileIterator(thumbnail_image);
for (name=GetNextImageProfile(thumbnail_image); name != (const char *) NULL; )
{
if ((LocaleCompare(name,"icc") != 0) && (LocaleCompare(name,"icm") != 0))
{
(void) DeleteImageProfile(thumbnail_image,name);
ResetImageProfileIterator(thumbnail_image);
}
name=GetNextImageProfile(thumbnail_image);
}
(void) DeleteImageProperty(thumbnail_image,"comment");
(void) CopyMagickString(value,image->magick_filename,MagickPathExtent);
if (strstr(image->magick_filename,"//") == (char *) NULL)
(void) FormatLocaleString(value,MagickPathExtent,"file://%s",
image->magick_filename);
(void) SetImageProperty(thumbnail_image,"Thumb::URI",value,exception);
GetPathComponent(image->magick_filename,TailPath,filename);
(void) CopyMagickString(value,filename,MagickPathExtent);
if ( GetPathAttributes(image->filename,&attributes) != MagickFalse )
(void) FormatImageProperty(thumbnail_image,"Thumb::MTime","%.20g",(double)
attributes.st_mtime);
(void) FormatLocaleString(value,MagickPathExtent,"%.20g",(double)
attributes.st_mtime);
(void) FormatMagickSize(GetBlobSize(image),MagickFalse,"B",MagickPathExtent,
value);
(void) SetImageProperty(thumbnail_image,"Thumb::Size",value,exception);
(void) FormatLocaleString(value,MagickPathExtent,"image/%s",image->magick);
LocaleLower(value);
(void) SetImageProperty(thumbnail_image,"Thumb::Mimetype",value,exception);
(void) SetImageProperty(thumbnail_image,"software",MagickAuthoritativeURL,
exception);
(void) FormatImageProperty(thumbnail_image,"Thumb::Image::Width","%.20g",
(double) image->magick_columns);
(void) FormatImageProperty(thumbnail_image,"Thumb::Image::Height","%.20g",
(double) image->magick_rows);
(void) FormatImageProperty(thumbnail_image,"Thumb::Document::Pages","%.20g",
(double) GetImageListLength(image));
return(thumbnail_image);
}
|
graph.h | #pragma once
#include<iostream>
#include<unordered_map>
#include<unordered_set>
#include<string>
#include<vector>
#include<queue>
#include<limits>
#include<fstream>
#include<stack>
#include<sstream>
#include<cmath>
#include<cstring>
#include<exception>
#include<stack>
#include<list>
#include<functional>
#include"util.h"
#include"pQueue.h"
#include"parallelFileOp.h"
#include"parallelEdgeListLoad.h"
#include<omp.h>
using namespace std;
class Graph{
public:
Graph(){};
Graph(const string& path, const unordered_set<nodeIdx>& subset){
list<edge> edgeList;
fastLoadEdgeList(path, edgeList, subset);
vector<edge> edgeVec;
edgeVec.reserve(edgeList.size());
for(auto& e : edgeList){
edgeVec.emplace_back(move(e));
}
edgeCount = edgeVec.size();
#pragma omp parallel
{
unordered_map<nodeIdx, unordered_map<nodeIdx, float>> localGraphData;
#pragma omp for
for(size_t i = 0; i < edgeVec.size(); ++i){
const edge& e = edgeVec[i];
localGraphData[e.a][e.b] = e.weight;
localGraphData[e.b][e.a] = e.weight;
}
#pragma omp critical
{
for(auto& pair : localGraphData){
data[pair.first].insert(
pair.second.begin(),
pair.second.end()
);
}
}
}
}
size_t numNodes() const { return data.size();}
size_t numEdges() const { return edgeCount;}
void addEdges(const list<edge>& edges){
for(const edge& e : edges){
addEdge(e.a, e.b, e.weight);
}
}
void addEdge(nodeIdx a, nodeIdx b, float weight){
//if(weight < 0)
//throw runtime_error("Invalid edge");
if(a != UNDEFINED && b != UNDEFINED){
data[a][b] = weight;
data[b][a] = weight;
++edgeCount;
}
}
unordered_set<nodeIdx> getSelectNearby(nodeIdx source,
size_t maxResult,
function<bool(nodeIdx)> filter) const{
typedef pair<nodeIdx, float> halfEdge;
pQueue<nodeIdx, float> pq;
unordered_set<nodeIdx> visited, result(maxResult);
pq.push(source, 0);
visited.insert(source);
if(filter(source)) result.insert(source);
while(!pq.empty() && result.size() < maxResult){
halfEdge cEdge = pq.pop();
visited.insert(cEdge.first);
if(filter(cEdge.first)) result.insert(cEdge.first);
for(const halfEdge& nEdge : data.at(cEdge.first)){
if(visited.find(nEdge.first) == visited.end())
pq.push(nEdge.first, cEdge.second + nEdge.second);
}
}
return result;
}
//bool connected(nodeIdx a, nodeIdx b) const {
//unordered_map<nodeIdx, nodeIdx> node2set;
//vector<nodeIdx> nodes;
//nodes.reserve(data.size());
//for(const auto& p : data)
//nodes.push_back(p.first);
////initial set
//#pragma omp parallel for
//for(size_t i = 0; i < nodes.size(); ++i){
//const nodeIdx node = nodes[i];
//const unordered_map<nodeIdx, float>& edges = data.at(node);
//nodeIdx minId = node;
//for(const auto& e : edges)
//minId = min(e.first, minId);
//#pragma omp critical
//node2set.emplace(node, minId);
//}
//bool anyChanges = true;
//while(anyChanges){
//anyChanges = false;
//if(node2set[a] == node2set[b]){
//return true;
//}
//#pragma omp parallel
//{
//unordered_map<nodeIdx, nodeIdx> localUpdates;
//#pragma omp for
//for(size_t i = 0; i < nodes.size(); ++i){
//const nodeIdx node = nodes[i];
//const unordered_map<nodeIdx, float>& edges = data.at(node);
//nodeIdx minId = node2set.at(node);
//for(const auto& e : edges)
//if(node2set.find(e.first) != node2set.end())
//minId = min(node2set.at(e.first), minId);
//if(minId != node2set.at(node)){
//localUpdates[node] = minId;
//}
//}
//#pragma omp critical
//{
//if(localUpdates.size() > 0){
//anyChanges = true;
//node2set.insert(localUpdates.begin(), localUpdates.end());
//}
//}
//}
//}
//return false;
//}
unordered_set<nodeIdx> getNeighbors(nodeIdx source, size_t n) const{
unordered_set<nodeIdx> visited;
pQueue<nodeIdx, float> pq;
pq.push(source, 0);
// n+1 so that we don't return source
while(!pq.empty() && visited.size() < n+1){
halfEdge cEdge = pq.pop();
visited.insert(cEdge.first);
for(const halfEdge & nEdge : data.at(cEdge.first)){
if(visited.find(nEdge.first) == visited.end())
pq.push(nEdge.first, cEdge.second + nEdge.second);
}
}
visited.erase(source);
return visited;
}
vector<nodeIdx> getShortestPath(nodeIdx source, nodeIdx target) const{
vector<nodeIdx> res;
// first, we are going to tighten edges
pQueue<nodeIdx, float> pq;
unordered_map<nodeIdx, float> finalDists;
pq.push(source, 0);
while(!pq.empty() && finalDists.find(target) == finalDists.end()){
halfEdge cEdge = pq.pop();
finalDists[cEdge.first] = cEdge.second; // record the tight edge
for(const halfEdge & nEdge : data.at(cEdge.first)){
if(finalDists.find(nEdge.first) == finalDists.end()){
pq.push(nEdge.first, nEdge.second + cEdge.second);
}
}
}
// if we found the goal
if(finalDists.find(target) != finalDists.end()){
//we traverse only tight edges dfs from s to t
stack<nodeIdx> stk;
stk.push(source);
unordered_map<nodeIdx, nodeIdx> backPointers;
nodeIdx cNode;
while((cNode = stk.top()) != target){
bool foundTightEdge = false; // we have to back track if we get stuck
for(const halfEdge & nEdge : data.at(cNode)){
const nodeIdx & nNode = nEdge.first;
// no self loop
if(cNode != nNode
// was visited
&& finalDists.find(nEdge.first) != finalDists.end()
// is tight edge
&& abs(finalDists[cNode] + data.at(cNode).at(nNode) - finalDists[nNode]) < EPS
// not a backpointer already
&& backPointers.find(nNode) == backPointers.end()){
stk.push(nNode);
backPointers[nNode] = cNode;
foundTightEdge = true;
}
}
if(!foundTightEdge){
stk.pop(); // backtrack
}
}
stack<nodeIdx> backTraversal;
backTraversal.push(target);
while(backTraversal.top() != source){
backTraversal.push(backPointers[backTraversal.top()]);
}
while(!backTraversal.empty()){
res.push_back(backTraversal.top());
backTraversal.pop();
}
}
return res;
}
list<edge> toEdgeList() const{
list<edge> res;
for(const auto & node2Negh : data){
const nodeIdx& i = node2Negh.first;
for(const auto & pair : node2Negh.second){
if(pair.first > i){
edge e;
e.a = i; e.b = pair.first; e.weight = pair.second;
res.push_back(e);
}
}
}
return res;
}
friend ostream& operator<<(ostream& out, const Graph& g);
unordered_set<nodeIdx> getNodes() const {
unordered_set<nodeIdx> res;
res.reserve(data.size());
for(const auto & p : data){
res.insert(p.first);
}
return res;
}
private:
typedef pair<nodeIdx, float> halfEdge; // half edge only has one node
unordered_map<nodeIdx, unordered_map<nodeIdx, float>> data;
size_t edgeCount;
};
ostream& operator<<(ostream& out, const Graph& g){
for(const auto & pair : g.data){
for(const auto & edge : pair.second){
out << pair.first << " " << edge.first << " " << edge.second << endl;
}
}
return out;
}
|
EllipseDetection.h | #ifndef ELLIPSEDETECTION_H
#define ELLIPSEDETECTION_H
#include "EllipseEstimator.h"
#include "../ImageChannel.h"
#include "../segmentation/Segmentation.h"
#include "../filter/Clean.h"
#include "../filter/Gauss.h"
#include "../filter/Normalize.h"
#include "../filter/Dilate.h"
#include "../ImageFactory.h"
#include "../OpenCV.h"
#include <omp.h>
namespace K {
class EllipseDetection {
private:
K::EllipseEstimator::RANSACPixel ransac;
bool combineSimilar = false;
float blurSigma = 1.75f;
public:
EllipseDetection() {
// defaults
ransac.setMinCoverage(0.70f);
ransac.setRatioConstraint(1.0f, 1.5f);
ransac.setSizeConstraint(30, 150); // ransac.setSizeConstraint(15.0f, 180.0f);
ransac.setThreshold(0.28f); // minimal pixel brightness for accepting
ransac.setNumSamples(12); // number of samples for SVD
ransac.setNumRuns(15); // number of RANSAC runs
}
K::EllipseEstimator::RANSACPixel& getRANSAC() {
return ransac;
}
/** whether to combine similar ellipses into one */
void setCombineSimilar(const bool combine) {
this->combineSimilar = combine;
}
/** set the sigma to use for gaussian blur before performing ellipse estimation based on blurred pixels */
void setBlurSigma(const float sigma) {
this->blurSigma = sigma;
}
/** perform ellipse-detection on a given black/white image with 1pixel wide,white edges */
std::vector<K::Ellipse::GeometricParams> getFromEdgeImage(const K::ImageChannel& imgEdges) {
const std::vector<std::vector<K::Point2i>> allSegments = getSegments(imgEdges);
// TODO
//const std::vector<std::vector<K::Point2i>> splitSegments = getSegmentsSplitFix(allSegments, 200); //debug(splitSegments, imgEdges);
//const std::vector<std::vector<K::Point2i>> splitSegments = getSegmentsSplitVar(allSegments, 75, 450);
const std::vector<std::vector<K::Point2i>> splitSegments = getSegmentsSplitUnsplit(allSegments, 100, 1);
//const std::vector<std::vector<K::Point2i>> splitSegments = allSegments;
const K::ImageChannel imgEdgesBlur = getBlurred(imgEdges);
std::vector<K::Ellipse::GeometricParams> ellipses;
//#pragma omp parallel for
for (size_t i = 0; i < splitSegments.size(); ++i) {
// current segment
const std::vector<K::Point2i>& set = splitSegments[i];
// perform detection for the current segment
K::EllipseEstimator::RANSACPixel::MatchStats stats;
K::Ellipse::CanonicalParams canon = ransac.get(set, imgEdgesBlur, stats);
//if (canon.F < 0) {continue;}
K::Ellipse::GeometricParams geo = canon.toGeometric();
if (geo.a != geo.a || geo.b != geo.b) {continue;}
ellipses.push_back(geo);
}
// return ellipses;
if (combineSimilar) {
std::vector<K::Ellipse::GeometricParams> ellipsesDistinct = filterDuplicates(ellipses);
return ellipsesDistinct;
} else {
return ellipses;
}
}
private:
void debug(const std::vector<std::vector<K::Point2i>>& segments, const K::ImageChannel edges) {
for (const std::vector<K::Point2i>& seg : segments) {
K::ImageChannel tmp = edges * 0.5;
for (K::Point2i pt : seg) {
tmp.set(pt.x, pt.y, 1.0);
}
cv::imshow("xxx", K::CV::k_to_cv(tmp));
cv::waitKey(10);
}
}
K::ImageChannel getBlurred(const K::ImageChannel& imgEdges) {
// remove short edges [isolated pixels]
K::ImageChannel imgEdgesCleaned = K::CV::Clean::avgThreshold(imgEdges, 1, 0.33f);
K::ImageChannel imgEdgesBlur = imgEdgesCleaned;
//imgEdgesBlur = K::Dilate::apply(imgEdgesBlur, 2, K::Dilate::Shape::CIRCLE, 1.0f, 0.01f);
// slightly blur the image (spread edges)
if (blurSigma != 0) {
K::CV::Gauss gauss(blurSigma, blurSigma);
imgEdgesBlur = gauss.filter(imgEdgesBlur);
imgEdgesBlur = K::CV::Normalize::run(imgEdgesBlur);
}
// K::ImageFactory::writePNG("/tmp/bla.png", imgEdgesBlur);
return imgEdgesBlur;
}
std::vector<std::vector<K::Point2i>> getSegmentsSplitUnsplit(const std::vector<std::vector<K::Point2i>>& segments, const size_t maxSize, int maxSplits) {
std::vector<std::vector<K::Point2i>> splitSegments;
// process every input segment
for (const std::vector<K::Point2i>& seg : segments) {
// use as is
splitSegments.push_back(seg);
// large? -> also split
if (seg.size() > maxSize) {
int maxSubSegs = std::ceil((float)seg.size() / (float)maxSize);
maxSubSegs = std::min(maxSubSegs, maxSplits+1);
// 1) divide into 2 subsegments
// 2) divide into 3 subsegments
// 3) divide into 4 subsegments
// ....
for (int subSegs = 2; subSegs <= maxSubSegs; ++subSegs) {
//const int segSize = seg.size() / subSegs;
for (int subSeg = 0; subSeg < subSegs; ++subSeg) {
int start = seg.size() * subSeg / subSegs;
int end = seg.size() * (subSeg+1) / subSegs;
const std::vector<K::Point2i> sub(seg.begin()+start, seg.begin()+end);
splitSegments.push_back(sub);
}
}
// // split in two parts
// const int mid = seg.size()/2;
// const std::vector<K::Point2i> left(seg.begin(), seg.begin()+mid);
// const std::vector<K::Point2i> right(seg.begin()+mid, seg.end());
// splitSegments.push_back(left);
// splitSegments.push_back(right);
}
}
return splitSegments;
}
std::vector<std::vector<K::Point2i>> getSegmentsSplitFix(const std::vector<std::vector<K::Point2i>>& segments, const size_t maxSize) {
std::vector<std::vector<K::Point2i>> splitSegments;
// process every input segment
for (const std::vector<K::Point2i>& seg : segments) {
// keep small segments "as-is"
if (seg.size() <= maxSize) {
splitSegments.push_back(seg);
} else {
const int numSegments = (int) std::ceil((float)seg.size() / (float)maxSize);
const float sizePerSegment = seg.size() / numSegments;
// 50% overlapping segments
for (float segNr = 0; segNr <= numSegments - 0.4; segNr += 0.5) {
const int start = segNr * sizePerSegment;
const int end = std::min((size_t)(start + sizePerSegment), seg.size()-1);
const std::vector<K::Point2i> pts(seg.begin()+start, seg.begin()+end);
splitSegments.push_back(pts);
}
}
}
return splitSegments;
}
/**
* split all large segments into several [overlapping] smaller-sized segments
*/
std::vector<std::vector<K::Point2i>> getSegmentsSplitVar(const std::vector<std::vector<K::Point2i>>& segments, const float minSize, const float maxSize) {
// output
std::vector<std::vector<K::Point2i>> splitSegments;
// split large segments several times
for (const std::vector<K::Point2i>& seg : segments) {
// skip this segment?
if (seg.size() < minSize) {continue;}
const float stepSize = 0.4f;
const int maxSegs = std::ceil(seg.size() / minSize); // largest number of segment divisions to check
const int minSegs = std::ceil(seg.size() / maxSize); // smallest number of segment divisions to check
for (float segs = minSegs; segs <= maxSegs; segs+=stepSize) {
const float segSize = seg.size() / segs;
// 50% overlapping segments
for (float i = 0; i < segs; i += 0.50f) {
const int start = (int)(i*segSize);
const int end = std::min((int)(start + segSize), (int)(seg.size()-1));
const int num = end-start;
if (num < 20) {continue;}
const std::vector<K::Point2i> pts(seg.begin()+start, seg.begin()+end);
splitSegments.push_back(pts);
}
}
}
// K::ImageChannel img(640, 480);
// for (const std::vector<K::Point2i>& seg : splitSegments) {
// for (const K::Point2i p : seg) {
// img.set(p.x, p.y, 1.0);
// }
// }
// K::ImageFactory::writePNG("/tmp/segments.png", img);
return splitSegments;
}
std::vector<std::vector<K::Point2i>> getSegments(const K::ImageChannel& imgEdges) {
// get all segments within the image
std::vector<K::Segment<float>> segments = K::Segmentation::getSegments(imgEdges);
std::vector<std::vector<K::Point2i>> result;
for (const K::Segment<float>& seg : segments) {
if (seg.points.size() < 16) {continue;} // ingore very small segments
if (seg.avg == 0) {continue;} // ignore black parts
result.push_back(seg.points);
}
return result;
}
public:
/** combine ellipses that are similar and return a new ellipse which is given by their average */
static inline std::vector<K::Ellipse::GeometricParams> filterDuplicates(const std::vector<K::Ellipse::GeometricParams>& src) {
std::vector<K::Ellipse::GeometricParams> filtered;
for (const K::Ellipse::GeometricParams& e1 : src) {
bool unique = true;
for (K::Ellipse::GeometricParams& e2 : filtered) {
const float dCenterDiff = e1.center.getDistance(e2.center);
//const float dSizeRatio = std::max(e1.getCircumfence(), e2.getCircumfence()) / std::min(e1.getCircumfence(), e2.getCircumfence());
const float dAxis = std::sqrt( ((e1.a - e2.a) * (e1.a - e2.a)) + ((e1.b - e2.b) * (e1.b - e2.b)) );
const bool isSimilar = (dCenterDiff < 16) && (dAxis < 6);// && (dSizeRatio < 1.12f);
// if this ellipse is similar to an existing one, join the two
if (isSimilar) { unique = false; e2.mix(e1, 0.50f); break; }
}
if (unique) { filtered.push_back(e1); }
}
return filtered;
}
};
}
#endif // ELLIPSEDETECTION_H
|
matrix_op-inl.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*!
* Copyright (c) 2015 by Contributors
* \file matrix_op-inl.h
* \brief Function definition of matrix related operators
*/
#ifndef MXNET_OPERATOR_TENSOR_MATRIX_OP_INL_H_
#define MXNET_OPERATOR_TENSOR_MATRIX_OP_INL_H_
#include <mxnet/operator_util.h>
#include <vector>
#include <string>
#include <algorithm>
#include <utility>
#include <type_traits>
#include "../mshadow_op.h"
#include "../elemwise_op_common.h"
#include "../channel_op_common.h"
#include "../mxnet_op.h"
#include "broadcast_reduce_op.h"
#include "./init_op.h"
#include "../../common/static_array.h"
#include "./slice-inl.h"
#if MXNET_USE_CUDA
#include <thrust/device_vector.h>
#endif
#ifdef __CUDACC__
#include "./pseudo2DTranspose_op-inl.cuh"
#endif
namespace mxnet {
namespace op {
struct ReshapeParam : public dmlc::Parameter<ReshapeParam> {
mxnet::TShape target_shape;
bool keep_highest;
mxnet::Tuple<int> shape;
bool reverse;
DMLC_DECLARE_PARAMETER(ReshapeParam) {
DMLC_DECLARE_FIELD(shape)
.set_default(mxnet::Tuple<int>())
.describe("The target shape");
DMLC_DECLARE_FIELD(reverse)
.set_default(false)
.describe("If true then the special values are inferred from right to left");
DMLC_DECLARE_FIELD(target_shape)
.set_default(mxnet::TShape(0, -1))
.describe("(Deprecated! Use ``shape`` instead.) "
"Target new shape. One and only one dim can be 0, "
"in which case it will be inferred from the rest of dims");
DMLC_DECLARE_FIELD(keep_highest).set_default(false)
.describe("(Deprecated! Use ``shape`` instead.) Whether keep the highest dim unchanged."
"If set to true, then the first dim in target_shape is ignored,"
"and always fixed as input");
}
bool operator==(const ReshapeParam &other) const {
return this->target_shape == other.target_shape &&
this->keep_highest == other.keep_highest &&
this->shape == other.shape &&
this->reverse == other.reverse;
}
};
template<typename IType>
inline mxnet::TShape InferReshapeShape(const mxnet::Tuple<IType>& shape,
const mxnet::TShape& dshape, bool reverse) {
std::vector<IType> dshape_vec;
std::vector<IType> param_shape_vec(shape.begin(), shape.end());
for (int i = 0; i < dshape.ndim(); ++i) {
dshape_vec.push_back(dshape[i]);
}
std::vector<IType> tmp;
size_t src_idx = 0;
int inf_idx = -1;
if (reverse) {
std::reverse(dshape_vec.begin(), dshape_vec.end());
std::reverse(param_shape_vec.begin(), param_shape_vec.end());
}
auto dshape_len = dshape_vec.size();
auto params_len = param_shape_vec.size();
for (size_t i = 0; i < params_len; ++i) {
IType proposed_dim = param_shape_vec[i];
if (proposed_dim == 0) {
// keep same
CHECK_LT(src_idx, dshape_len);
tmp.push_back(dshape_vec[src_idx++]);
} else if (proposed_dim == -1) {
// infer
CHECK_LT(inf_idx, 0) << "One and only one dim can be inferred";
inf_idx = i;
tmp.push_back(1);
src_idx++;
} else if (proposed_dim == -2) {
// copy all remaining dims from source
while (src_idx < dshape_len) {
const int dn = dshape_vec[src_idx++];
tmp.push_back(dn);
}
} else if (proposed_dim == -3) {
// merge two dims from source
CHECK_LT(src_idx, dshape_len-1);
const int d1 = dshape_vec[src_idx++];
const int d2 = dshape_vec[src_idx++];
if (!mxnet::dim_size_is_known(d1) || !mxnet::dim_size_is_known(d2)) {
tmp.push_back(-1);
} else {
tmp.push_back(d1 * d2);
}
} else if (proposed_dim == -4) {
// split the source dim s into two dims
// read the left dim and then the right dim (either can be -1)
CHECK_LT(i + 2, params_len);
CHECK_LT(src_idx, dshape_len);
const int d0 = dshape_vec[src_idx++];
IType d1 = param_shape_vec[++i];
IType d2 = param_shape_vec[++i];
CHECK(d1 != -1 || d2 != -1) << "Split dims cannot both be -1.";
if (d1 == -1 && d0 >= 0) d1 = d0 / d2; // d0 must be known to do this
if (d2 == -1 && d0 >= 0) d2 = d0 / d1; // d0 must be known to do this
CHECK(d1 * d2 == static_cast<IType>(d0) || static_cast<IType>(d0) == IType(-1)) <<
"Split dims " << d1 << ", " << d2 << " do not divide original dim " << d0;
tmp.push_back(d1);
tmp.push_back(d2);
} else {
// greater than 0, new shape
tmp.push_back(proposed_dim);
src_idx++;
}
}
if (inf_idx >= 0) {
if (shape_is_known(dshape)) {
IType new_size = 1;
for (IType x : tmp) new_size *= x;
tmp[inf_idx] = dshape.Size() / new_size;
} else {
tmp[inf_idx] = -1;
}
}
if (reverse) {
std::reverse(param_shape_vec.begin(), param_shape_vec.end());
std::reverse(dshape_vec.begin(), dshape_vec.end());
std::reverse(tmp.begin(), tmp.end());
}
mxnet::TShape oshape(tmp.begin(), tmp.end());
return oshape;
}
inline bool ReverseReshapeInferShape(mxnet::TShape *in, const mxnet::TShape& out) {
if (shape_is_known(*in) && shape_is_known(out)) {
return true;
} else if (!shape_is_known(out)) {
return false;
} else {
int zero_axis = -1;
int known_dim_size_prod = 1;
for (int i = 0; i < in->ndim(); i++) {
if (!mxnet::dim_size_is_known(*in, i)) {
if (zero_axis != -1)
return false; // more than 1 zero found.
else
zero_axis = i;
} else {
known_dim_size_prod *= (*in)[i];
}
}
(*in)[zero_axis] = out.Size() / known_dim_size_prod;
return true;
}
}
inline bool ReshapeShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const ReshapeParam& param_ = nnvm::get<ReshapeParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U) << "Input: [data]";
CHECK_EQ(out_attrs->size(), 1U);
mxnet::TShape &dshape = (*in_attrs)[0];
if (!mxnet::ndim_is_known(dshape)) return false;
mxnet::TShape oshape;
if (param_.shape.ndim() != 0) {
oshape = InferReshapeShape(param_.shape, dshape, param_.reverse);
} else if (param_.target_shape.ndim() != -1) {
LOG(INFO) << "Using target_shape will be deprecated.";
oshape = param_.target_shape;
int neg_count = 0;
index_t inf_idx = 0;
index_t start_idx = param_.keep_highest ? 1 : 0;
if (param_.keep_highest) {
oshape[0] = dshape[0];
}
for (int i = start_idx; i < oshape.ndim(); ++i) {
if (oshape[i] == 0) {
neg_count++;
inf_idx = i;
}
}
if (neg_count == 1) {
oshape[inf_idx] = 1;
oshape[inf_idx] = dshape.Size() / oshape.Size();
}
} else {
return shape_is_known((*out_attrs)[0])
&& ReverseReshapeInferShape(&(*in_attrs)[0], (*out_attrs)[0]);
}
ReverseReshapeInferShape(&dshape, oshape);
#if 0
CHECK_EQ(oshape.Size(), dshape.Size())
<< "Target shape size is different to source. "
<< "Target: " << oshape
<< "\nSource: " << dshape;
#endif
SHAPE_ASSIGN_CHECK(*out_attrs, 0, oshape);
return ReverseReshapeInferShape(&(*in_attrs)[0], (*out_attrs)[0]);
}
inline bool FlattenShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
CHECK_EQ(in_attrs->size(), 1U) << "Input: [data]";
CHECK_EQ(out_attrs->size(), 1U);
const mxnet::TShape &dshape = (*in_attrs)[0];
if (!shape_is_known(dshape)) return false;
int target_dim = 1;
for (int i = 1; i < dshape.ndim(); ++i) {
target_dim *= dshape[i];
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, mshadow::Shape2(dshape[0], target_dim));
return true;
}
struct TransposeParam : public dmlc::Parameter<TransposeParam> {
mxnet::TShape axes;
DMLC_DECLARE_PARAMETER(TransposeParam) {
DMLC_DECLARE_FIELD(axes).set_default(mxnet::TShape(0, -1))
.describe("Target axis order. By default the axes will be inverted.");
}
bool operator==(const TransposeParam &other) const {
return this->axes == other.axes;
}
};
/*!
* \brief This function performs transpose operation on a 2D matrix by utilizing the L1 cache
* \param in input tensor
* \param out output tensor
* \param row shape of dim 0 of input
* \param col shape of dim 1 of input
* \tparam DType Data type
* \tparam is_addto
*/
template<typename DType, bool is_addto>
MSHADOW_XINLINE void Transpose2D(const DType *in, DType *out, index_t row, index_t col) {
// ensure cache line hits and prevent cache miss for any configuration
// L1 cache size to be utilized = 32kb = 2^15
// Largest size of a single unit of any dtype <= 8 byte = 2^3
// Number of elements - (2^15/2^3) = 2^12
// Block-size - 2^6 v 2^6 (64 v 64)
// But we could leverage unrolling of for loops (for parallelization)
// Block-size - 2^5 v 2^5 (32 v 32) with potential 4 pragma for loop unrolled
// blocksize * blocksize * num_threads = cache_size / dtype_size
// Instead of explicit unroll, let compiler figure out optimal unroll factor
const index_t blocksize = 32;
// collapse 2 parallelizes 2 for loops
// inner 2 for loops aren't parallelized to prevent cache miss
// Microsoft Visual C++ compiler does not support omp collapse
#ifdef _MSC_VER
#pragma omp parallel for
#else
#pragma omp parallel for collapse(2)
#endif // _MSC_VER
for (index_t i = 0; i < row; i += blocksize) {
for (index_t j = 0; j < col; j += blocksize) {
// transpose the block
for (index_t a = j; (a < blocksize + j) && (a < col); ++a) {
for (index_t b = i; (b < blocksize + i) && (b < row); ++b) {
if (!is_addto) {
out[a * row + b] = in[b * col + a];
} else {
out[a * row + b] += in[b * col + a];
}
}
}
}
}
}
inline bool IsIdentityTranspose(const TShape& axes) {
for (dim_t i = 0; i < axes.ndim(); i++) {
if (axes[i] != i) return false;
}
return true;
}
template<typename xpu, bool is_addto = false>
void TransposeImpl(RunContext ctx,
const TBlob& src,
const TBlob& ret,
const mxnet::TShape& axes) {
using namespace mshadow;
using namespace mshadow::expr;
CHECK_EQ(src.type_flag_, ret.type_flag_);
// zero-size tensor, no need to compute
if (src.shape_.Size() == 0U) return;
Stream<xpu> *s = ctx.get_stream<xpu>();
#ifdef __CUDACC__
// This transpose can be used only if there exist n and m such that:
// params = (0, ..., n-1, n+m, ..., params.size, n, ..., n+m-1)
// Example: (0, 2, 3, 1) or (0, 3, 1, 2), but not (0, 2, 1, 3).
if (isPseudo2DTranspose(axes)) {
MSHADOW_TYPE_SWITCH(ret.type_flag_, DType, {
transpose_pseudo2D<DType, is_addto>(ret, src, axes, s);
});
return;
}
#endif
// Special handle the identity case
if (IsIdentityTranspose(axes)) {
MSHADOW_TYPE_SWITCH(ret.type_flag_, DType, {
Tensor<xpu, 1, DType> in = src.get_with_shape<xpu, 1, DType>(mshadow::Shape1(src.Size()), s);
Tensor<xpu, 1, DType> out = ret.get_with_shape<xpu, 1, DType>(mshadow::Shape1(ret.Size()), s);
if (!is_addto) {
// Use memcpy to accelerate the speed
Copy(out, in, s);
} else {
mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::identity, kAddTo>, xpu>::Launch(
s, ret.Size(), out.dptr_, in.dptr_);
}
});
return;
}
// Handle the general transpose case
MSHADOW_TYPE_SWITCH(ret.type_flag_, DType, {
switch (axes.ndim()) {
case 2: {
Tensor<xpu, 2, DType> in = src.get<xpu, 2, DType>(s);
Tensor<xpu, 2, DType> out = ret.get<xpu, 2, DType>(s);
if (ctx.get_ctx().dev_mask() == cpu::kDevMask) {
Transpose2D<DType, is_addto>(in.dptr_, out.dptr_, in.shape_[0], in.shape_[1]);
} else {
LOG(FATAL) << "Not Implemented. We should never reach here because the 2D case "
"in GPU has been covered by transpose_pseudo2D."
" Report an issue in Github.";
}
break;
}
case 3: {
Tensor<xpu, 3, DType> in = src.get<xpu, 3, DType>(s);
Tensor<xpu, 3, DType> out = ret.get<xpu, 3, DType>(s);
if (!is_addto) {
out = transpose(in, axes.get<3>());
} else {
out += transpose(in, axes.get<3>());
}
break;
}
case 4: {
Tensor<xpu, 4, DType> in = src.get<xpu, 4, DType>(s);
Tensor<xpu, 4, DType> out = ret.get<xpu, 4, DType>(s);
if (!is_addto) {
out = transpose(in, axes.get<4>());
} else {
out += transpose(in, axes.get<4>());
}
break;
}
case 5: {
Tensor<xpu, 5, DType> in = src.get<xpu, 5, DType>(s);
Tensor<xpu, 5, DType> out = ret.get<xpu, 5, DType>(s);
if (!is_addto) {
out = transpose(in, axes.get<5>());
} else {
out += transpose(in, axes.get<5>());
}
break;
}
case 6: {
Tensor<xpu, 6, DType> in = src.get<xpu, 6, DType>(s);
Tensor<xpu, 6, DType> out = ret.get<xpu, 6, DType>(s);
if (!is_addto) {
out = transpose(in, axes.get<6>());
} else {
out += transpose(in, axes.get<6>());
}
break;
}
default:
LOG(FATAL) << "Transpose support at most 6 dimensions";
break;
}
});
}
// matrix transpose
template<typename xpu>
void Transpose(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
if (req[0] == kNullOp) {
return;
}
const TransposeParam& param = nnvm::get<TransposeParam>(attrs.parsed);
CHECK(req[0] == kWriteTo || req[0] == kAddTo)
<< "Transpose only supports kNullOp, kWriteTo and kAddTo";
mxnet::TShape axes;
if (param.axes.ndim() == 0) {
axes = mxnet::TShape(inputs[0].ndim(), -1);
for (int i = 0; i < axes.ndim(); ++i) {
axes[i] = axes.ndim() - 1 - i;
}
} else {
axes = common::CanonicalizeAxes(param.axes);
}
if (req[0] == kAddTo) {
TransposeImpl<xpu, true>(ctx.run_ctx, inputs[0], outputs[0], axes);
} else {
TransposeImpl<xpu, false>(ctx.run_ctx, inputs[0], outputs[0], axes);
}
}
inline bool TransposeShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const TransposeParam& param = nnvm::get<TransposeParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
mxnet::TShape& shp = (*in_attrs)[0];
mxnet::TShape& out_shp = (*out_attrs)[0];
CHECK_LE(shp.ndim(), 6) << "Transpose support at most 6 dimensions";
if (shp.ndim() == -1 && out_shp.ndim() == -1)
return false; // none of the shapes is known
if (out_shp.ndim() >= 0 && shp.ndim() >= 0)
CHECK_EQ(out_shp.ndim(), shp.ndim());
mxnet::TShape get(std::max(shp.ndim(), out_shp.ndim()), -1);
mxnet::TShape ret(std::max(shp.ndim(), out_shp.ndim()), -1);
if (param.axes.ndim() == 0) {
for (int i = 0; i < shp.ndim(); ++i) {
ret[i] = shp[shp.ndim()-1-i];
}
for (int i = 0; i < out_shp.ndim(); ++i) {
get[shp.ndim()-1-i] = out_shp[i];
}
} else {
CHECK_EQ(std::max(shp.ndim(), out_shp.ndim()), param.axes.ndim());
for (int i = 0; i < shp.ndim(); ++i) {
CHECK(param.axes[i] < static_cast<int64_t>(shp.ndim()));
ret[i] = shp[param.axes[i]];
}
for (int i = 0; i < out_shp.ndim(); ++i) {
get[param.axes[i]] = out_shp[i];
}
}
SHAPE_ASSIGN_CHECK(*in_attrs, 0, get);
SHAPE_ASSIGN_CHECK(*out_attrs, 0, ret);
return shape_is_known(ret);
}
struct ExpandDimParam : public dmlc::Parameter<ExpandDimParam> {
int axis;
DMLC_DECLARE_PARAMETER(ExpandDimParam) {
DMLC_DECLARE_FIELD(axis)
.describe("Position where new axis is to be inserted. Suppose that "
"the input `NDArray`'s dimension is `ndim`, the range of "
"the inserted axis is `[-ndim, ndim]`");
}
bool operator==(const ExpandDimParam &other) const {
return this->axis == other.axis;
}
void SetAttrDict(std::unordered_map<std::string, std::string>* dict) {
std::ostringstream axis_s;
axis_s << axis;
(*dict)["axis"] = axis_s.str();
}
};
inline bool ExpandDimShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const ExpandDimParam& param = nnvm::get<ExpandDimParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
if (!mxnet::ndim_is_known(in_attrs->at(0)) && !mxnet::ndim_is_known(out_attrs->at(0))) {
return false;
}
mxnet::TShape& ishape = (*in_attrs)[0];
mxnet::TShape& oshape = (*out_attrs)[0];
int indim = ishape.ndim();
bool unknown_ishape = false;
if (-1 == indim) {
indim = oshape.ndim() - 1;
unknown_ishape = true;
}
int axis = param.axis;
if (axis < 0) {
axis += indim + 1;
}
CHECK(axis >= 0 && axis <= indim)
<< "axis must be in the range [" << -indim << ", " << indim << "] ("
<< param.axis << " provided)";
mxnet::TShape ret(indim + 1, -1);
for (int i = 0; i < axis; ++i) {
ret[i] = (unknown_ishape? -1 : ishape[i]);
}
ret[axis] = 1;
for (int i = axis+1; i < indim+1; ++i) {
ret[i] = (unknown_ishape? -1 : ishape[i-1]);
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, ret);
ret = mxnet::TShape(indim, -1);
for (int i = 0; i < axis; ++i) ret[i] = oshape[i];
for (int i = axis+1; i < indim+1; ++i) ret[i-1] = oshape[i];
SHAPE_ASSIGN_CHECK(*in_attrs, 0, ret);
return shape_is_known(in_attrs->at(0)) && shape_is_known(out_attrs->at(0));
}
// Currently MKLDNN only supports step = 1 or step has no value
inline bool SupportMKLDNNSlice(const SliceParam& param) {
if (param.step.ndim() == 0U) return true;
for (int i = 0; i < param.step.ndim(); ++i) {
if (param.step[i].has_value() && param.step[i].value() != 1)
return false;
}
return true;
}
inline bool SliceForwardInferStorageType(const nnvm::NodeAttrs& attrs,
const int dev_mask,
DispatchMode* dispatch_mode,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(in_attrs->size(), 1);
CHECK_EQ(out_attrs->size(), 1);
const SliceParam& param = nnvm::get<SliceParam>(attrs.parsed);
const auto& in_stype = in_attrs->at(0);
auto& out_stype = out_attrs->at(0);
bool dispatched = false;
const auto dispatch_ex = DispatchMode::kFComputeEx;
// If step = 1, no need to fallback; otherwise fallback to dense
bool trivial_step = false;
if (param.step.ndim() == 0U) {
trivial_step = true;
} else if (param.step.ndim() == 1U
&& (!param.step[0].has_value() || param.step[0].value() == 1)) {
trivial_step = true;
}
if (in_stype == kDefaultStorage) {
#if MXNET_USE_MKLDNN == 1
if (dev_mask == Context::kCPU && MKLDNNEnvSet()
&& SupportMKLDNNSlice(param)) {
dispatched = storage_type_assign(&out_stype, kDefaultStorage,
dispatch_mode, dispatch_ex);
}
#endif
if (!dispatched) {
dispatched = storage_type_assign(&out_stype, kDefaultStorage,
dispatch_mode, DispatchMode::kFCompute);
}
}
if (!dispatched && in_stype == kCSRStorage && trivial_step) {
dispatched = storage_type_assign(&out_stype, kCSRStorage,
dispatch_mode, dispatch_ex);
}
if (!dispatched) {
dispatched = dispatch_fallback(out_attrs, dispatch_mode);
}
return dispatched;
}
// slice the indptr of a csr
struct SliceCsrIndPtr {
template<typename IType>
MSHADOW_XINLINE static void Map(int i, IType* out, const IType* in, const IType* base) {
KERNEL_ASSIGN(out[i], kWriteTo, in[i] - *base);
}
};
/*
* a wrapper to launch SliceCsrIndPtr kernel.
* slice [src[begin] .. src[end]) and store in dst[0, end - begin)
*/
template<typename xpu, typename IType>
void SliceCsrIndPtrImpl(const int begin, const int end, RunContext ctx,
const IType* src, IType* dst) {
using namespace mshadow;
using namespace mxnet_op;
Stream<xpu> *s = ctx.get_stream<xpu>();
int indptr_len = end - begin + 1;
Kernel<SliceCsrIndPtr, xpu>::Launch(s, indptr_len, dst, src + begin, src + begin);
}
/*
* Slice a CSR NDArray for first dimension
*/
template<typename xpu>
void SliceDimOneCsrImpl(const mxnet::TShape &begin, const mxnet::TShape &end, const OpContext& ctx,
const NDArray &in, const NDArray &out) {
using namespace mshadow;
using namespace mxnet_op;
using namespace csr;
nnvm::dim_t begin_row = begin[0];
nnvm::dim_t end_row = end[0];
nnvm::dim_t indptr_len = end_row - begin_row + 1;
out.CheckAndAllocAuxData(kIndPtr, Shape1(indptr_len));
// assume idx indptr share the same type
MSHADOW_IDX_TYPE_SWITCH(in.aux_type(kIndPtr), RType, {
MSHADOW_IDX_TYPE_SWITCH(in.aux_type(kIdx), IType, {
MSHADOW_TYPE_SWITCH(in.dtype(), DType, {
RType* in_indptr = in.aux_data(kIndPtr).dptr<RType>();
RType* out_indptr = out.aux_data(kIndPtr).dptr<RType>();
SliceCsrIndPtrImpl<xpu, RType>(begin_row, end_row, ctx.run_ctx, in_indptr, out_indptr);
Stream<xpu> *s = ctx.get_stream<xpu>();
RType nnz = 0;
mshadow::Copy(Tensor<cpu, 1, RType>(&nnz, Shape1(1)),
Tensor<xpu, 1, RType>(out_indptr + indptr_len - 1, Shape1(1), s));
// return csr zeros if nnz = 0
if (nnz == 0) {
out.set_aux_shape(kIdx, Shape1(0));
return;
}
// copy indices and values
out.CheckAndAllocAuxData(kIdx, Shape1(nnz));
out.CheckAndAllocData(Shape1(nnz));
IType* in_idx = in.aux_data(kIdx).dptr<IType>();
IType* out_idx = out.aux_data(kIdx).dptr<IType>();
DType* in_data = in.data().dptr<DType>();
DType* out_data = out.data().dptr<DType>();
RType offset = 0;
mshadow::Copy(Tensor<cpu, 1, RType>(&offset, Shape1(1)),
Tensor<xpu, 1, RType>(in_indptr + begin_row, Shape1(1), s));
mshadow::Copy(Tensor<xpu, 1, IType>(out_idx, Shape1(nnz), s),
Tensor<xpu, 1, IType>(in_idx + offset, Shape1(nnz), s), s);
mshadow::Copy(Tensor<xpu, 1, DType>(out_data, Shape1(nnz), s),
Tensor<xpu, 1, DType>(in_data + offset, Shape1(nnz), s), s);
});
});
});
}
/*!
* \brief slice a CSRNDArray for two dimensions
*/
struct SliceDimTwoCsrAssign {
/*!
* \brief This function slices a CSRNDArray on axis one between begin_col and end_col
* \param i loop index
* \param out_idx output csr ndarray column indices
* \param out_data output csr ndarray data
* \param out_indptr output csr ndarray row index pointer
* \param in_idx input csr ndarray column indices
* \param in_data input csr ndarray data
* \param in_indptr input csr ndarray row index pointer
* \param begin_col begin column indice
* \param end_col end column indice
*/
template<typename IType, typename RType, typename DType>
MSHADOW_XINLINE static void Map(int i,
IType* out_idx, DType* out_data,
const RType* out_indptr,
const IType* in_idx, const DType* in_data,
const RType* in_indptr,
const int begin_col, const int end_col) {
RType ind = out_indptr[i];
for (RType j = in_indptr[i]; j < in_indptr[i+1]; j++) {
// indices of CSRNDArray are in ascending order per row
if (in_idx[j] >= end_col) {
break;
} else if (in_idx[j] >= begin_col) {
out_idx[ind] = in_idx[j] - begin_col;
out_data[ind] = in_data[j];
ind++;
}
}
}
};
/*
* Slice a CSR NDArray for two dimensions
*/
template<typename xpu>
void SliceDimTwoCsrImpl(const mxnet::TShape &begin, const mxnet::TShape &end, const OpContext& ctx,
const NDArray &in, const NDArray &out);
template<typename xpu>
void SliceCsrImpl(const SliceParam ¶m, const OpContext& ctx,
const NDArray &in, OpReqType req, const NDArray &out) {
if (req == kNullOp) return;
CHECK_NE(req, kAddTo) << "kAddTo for Slice on CSR input is not supported";
CHECK_NE(req, kWriteInplace) << "kWriteInplace for Slice on CSR input is not supported";
const mxnet::TShape ishape = in.shape();
const mxnet::TShape oshape = out.shape();
int N = ishape.ndim();
mxnet::TShape begin(N, -1), end(N, -1);
for (int i = 0; i < N; ++i) {
int s = 0;
if (i < param.begin.ndim() && param.begin[i]) {
s = *param.begin[i];
if (s < 0) s += ishape[i];
}
begin[i] = s;
end[i] = s + oshape[i];
}
switch (N) {
case 1: {
SliceDimOneCsrImpl<xpu>(begin, end, ctx, in, out);
break;
}
case 2: {
SliceDimTwoCsrImpl<xpu>(begin, end, ctx, in, out);
break;
}
default:
LOG(FATAL) << "CSR is only for 2-D shape";
break;
}
}
template<typename xpu>
void SliceEx(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<NDArray>& inputs,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& outputs) {
CHECK_EQ(inputs.size(), 1);
CHECK_EQ(outputs.size(), 1);
const SliceParam& param = nnvm::get<SliceParam>(attrs.parsed);
auto in_stype = inputs[0].storage_type();
if (in_stype == kCSRStorage) {
SliceCsrImpl<xpu>(param, ctx, inputs[0], req[0], outputs[0]);
} else {
LOG(FATAL) << "Slice not implemented for storage type" << in_stype;
}
}
template<int ndim>
inline bool GetIndexRange(const mxnet::TShape& dshape,
const mxnet::Tuple<dmlc::optional<index_t>>& param_begin,
const mxnet::Tuple<dmlc::optional<index_t>>& param_end,
const mxnet::Tuple<dmlc::optional<index_t>>& param_step,
common::StaticArray<index_t, ndim>* begin,
common::StaticArray<index_t, ndim>* end,
common::StaticArray<index_t, ndim>* step) {
// Function returns false if output is zero-sized, true otherwise.
bool zero_size_shape = false;
CHECK_NE(dshape.ndim(), 0U);
CHECK_LE(param_begin.ndim(), dshape.ndim())
<< "Slicing axis exceeds data dimensions";
CHECK_LE(param_end.ndim(), dshape.ndim())
<< "Slicing axis exceeds data dimensions";
CHECK_EQ(param_begin.ndim(), param_end.ndim())
<< "begin and end must have the same length";
CHECK_EQ(ndim, dshape.ndim())
<< "Static array size=" << ndim
<< " is not equal to data shape ndim=" << dshape.ndim();
if (param_step.ndim() > 0) {
CHECK_EQ(param_step.ndim(), param_begin.ndim())
<< "step and begin must have the same length";
}
for (int i = 0; i < param_begin.ndim(); ++i) {
index_t s = param_step.ndim() > 0 && param_step[i].has_value() ? param_step[i].value() : 1;
CHECK_NE(s, 0) << "slice op step[" << i << "] cannot be 0";
index_t b = 0, e = 0;
const index_t len = dshape[i];
if (len > 0) {
b = param_begin[i].has_value() ? param_begin[i].value() : (s < 0 ? len - 1 : 0);
e = param_end[i].has_value() ? param_end[i].value() : (s < 0 ? -1 : len);
if (b < 0) {
b += len;
}
if (e < 0 && param_end[i].has_value()) {
e += len;
}
// move the begin and end to correct position for calculating dim size
b = (b < 0 && s > 0) ? 0 : b;
b = (b > len - 1 && s < 0) ? len - 1 : b;
// if the start value lead to empty tensor under step s, use -1 for indication
b = (b < 0 || b > len - 1) ? -1 : b;
e = e > -1 ? e : -1;
e = e > len ? len : e;
} else if (len == 0) {
b = 0;
e = 0;
}
(*begin)[i] = b;
(*end)[i] = e;
(*step)[i] = s;
// checking begin==end
if (b == e) {
zero_size_shape = true;
}
}
for (int i = param_begin.ndim(); i < dshape.ndim(); ++i) {
(*begin)[i] = 0;
(*end)[i] = dshape[i];
(*step)[i] = 1;
}
return zero_size_shape;
}
inline void SetSliceOpOutputDimSize(const mxnet::TShape& dshape,
const index_t i, const index_t b,
const index_t e, const index_t s,
mxnet::TShape* oshape) {
if (!mxnet::dim_size_is_known(dshape, i)) {
(*oshape)[i] = -1;
return;
}
if (e != b && b >= 0) {
if (s > 0) {
(*oshape)[i] = e > b ? (e - b - 1) / s + 1 : 0;
} else {
(*oshape)[i] = e < b ? (b - e - 1) / (-s) + 1 : 0;
}
} else {
(*oshape)[i] = 0;
}
}
inline bool SliceOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector* in_attrs,
mxnet::ShapeVector* out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
const mxnet::TShape& dshape = (*in_attrs)[0];
if (!mxnet::ndim_is_known(dshape)) return false;
CHECK_GT(dshape.ndim(), 0) << "slice only works for ndim > 0";
const SliceParam& param = nnvm::get<SliceParam>(attrs.parsed);
mxnet::TShape oshape = dshape;
MXNET_NDIM_SWITCH(dshape.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
GetIndexRange(dshape, param.begin, param.end, param.step, &begin, &end, &step);
for (int i = 0; i < param.begin.ndim(); ++i) {
const index_t b = begin[i], e = end[i], s = step[i];
SetSliceOpOutputDimSize(dshape, i, b, e, s, &oshape);
}
})
SHAPE_ASSIGN_CHECK(*out_attrs, 0, oshape);
return shape_is_known(dshape) && shape_is_known(oshape);
}
template<int ndim, int req, typename xpu>
struct slice_forward;
template<int ndim, int req>
struct slice_forward<ndim, req, gpu> {
// i is the i-th row after flattening out into 2D tensor
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* data,
const mshadow::Shape<ndim> dshape,
const mshadow::Shape<ndim> oshape,
const common::StaticArray<index_t, ndim> begin,
const common::StaticArray<index_t, ndim> step) {
const index_t data_last_dim_size = dshape[ndim-1];
const index_t out_last_dim_size = oshape[ndim-1];
const index_t step_last_dim = step[ndim-1];
const index_t begin_last_dim = begin[ndim-1];
const index_t j = i % out_last_dim_size;
index_t irow = 0; // row id of flattend 2D data
index_t stride = 1;
index_t idx = i / out_last_dim_size;
#pragma unroll
for (int k = ndim - 2; k >= 0; --k) {
irow += stride * ((idx % oshape[k]) * step[k] + begin[k]);
idx /= oshape[k];
stride *= dshape[k];
}
KERNEL_ASSIGN(out[i], req,
data[irow * data_last_dim_size + j * step_last_dim + begin_last_dim]);
}
};
template<int ndim, int req>
struct slice_forward<ndim, req, cpu> {
// i is the i-th row after flattening out into 2D tensor
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* data,
const mshadow::Shape<ndim> dshape,
const mshadow::Shape<ndim> oshape,
const common::StaticArray<index_t, ndim> begin,
const common::StaticArray<index_t, ndim> step) {
const index_t data_last_dim_size = dshape[ndim-1];
const index_t out_last_dim_size = oshape[ndim-1];
const index_t step_last_dim = step[ndim-1];
const index_t begin_last_dim = begin[ndim-1];
index_t out_offset = i * out_last_dim_size;
for (index_t j = 0; j < out_last_dim_size; ++j) {
index_t irow = 0; // row id of flattend 2D data
index_t stride = 1;
index_t idx = i;
#pragma unroll
for (int k = ndim - 2; k >= 0; --k) {
irow += stride * ((idx % oshape[k]) * step[k] + begin[k]);
idx /= oshape[k];
stride *= dshape[k];
}
KERNEL_ASSIGN(out[out_offset++], req,
data[irow * data_last_dim_size + j * step_last_dim + begin_last_dim]);
}
}
};
template<typename xpu>
void SliceOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
CHECK_EQ(req.size(), 1U);
if (req[0] == kNullOp) return;
using namespace mshadow;
Stream<xpu>* s = ctx.get_stream<xpu>();
const TBlob& data = inputs[0];
const TBlob& out = outputs[0];
if (out.Size() == 0) return;
const SliceParam& param = nnvm::get<SliceParam>(attrs.parsed);
MXNET_NDIM_SWITCH(data.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
GetIndexRange(data.shape_, param.begin, param.end, param.step, &begin, &end, &step);
MSHADOW_TYPE_SWITCH_WITH_BOOL(out.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
size_t num_threads = out.shape_.FlatTo2D()[0];
if (std::is_same<xpu, gpu>::value) {
num_threads *= out.shape_.get<ndim>()[ndim - 1];
}
mxnet_op::Kernel<slice_forward<ndim, Req, xpu>, xpu>::Launch(s, num_threads,
out.dptr<DType>(), data.dptr<DType>(),
data.shape_.get<ndim>(), out.shape_.get<ndim>(), begin, step);
})
})
})
}
template<int ndim, int req, typename xpu>
struct slice_assign;
template<int ndim, int req>
struct slice_assign<ndim, req, cpu> {
// i is the i-th row after flattening out into 2D tensor
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* val,
const mshadow::Shape<ndim> oshape,
const mshadow::Shape<ndim> vshape,
const common::StaticArray<index_t, ndim> begin,
const common::StaticArray<index_t, ndim> step) {
const index_t data_last_dim_size = oshape[ndim-1];
const index_t out_last_dim_size = vshape[ndim-1];
const index_t step_last_dim = step[ndim-1];
const index_t begin_last_dim = begin[ndim-1];
index_t offset = i * out_last_dim_size;
for (index_t j = 0; j < out_last_dim_size; ++j) {
index_t irow = 0; // row id of flattend 2D out
index_t stride = 1;
index_t idx = i;
#pragma unroll
for (int k = ndim - 2; k >= 0; --k) {
irow += stride * ((idx % vshape[k]) * step[k] + begin[k]);
idx /= vshape[k];
stride *= oshape[k];
}
KERNEL_ASSIGN(out[irow * data_last_dim_size + j * step_last_dim + begin_last_dim],
req, val[offset++]);
}
}
};
template<int ndim, int req>
struct slice_assign<ndim, req, gpu> {
// i is the i-th row after flattening out into 2D tensor
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* val,
const mshadow::Shape<ndim> oshape,
const mshadow::Shape<ndim> vshape,
const common::StaticArray<index_t, ndim> begin,
const common::StaticArray<index_t, ndim> step) {
const index_t data_last_dim_size = oshape[ndim-1];
const index_t out_last_dim_size = vshape[ndim-1];
const index_t step_last_dim = step[ndim-1];
const index_t begin_last_dim = begin[ndim-1];
const index_t j = i % out_last_dim_size;
index_t irow = 0; // row id of flattend 2D out
index_t stride = 1;
index_t idx = i / out_last_dim_size;
#pragma unroll
for (int k = ndim - 2; k >= 0; --k) {
irow += stride * ((idx % vshape[k]) * step[k] + begin[k]);
idx /= vshape[k];
stride *= oshape[k];
}
KERNEL_ASSIGN(out[irow * data_last_dim_size + j * step_last_dim + begin_last_dim],
req, val[i]);
}
};
template<typename xpu>
void SliceOpBackward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
CHECK_EQ(req.size(), 1U);
if (req[0] == kNullOp) return;
using namespace mshadow;
Stream<xpu>* s = ctx.get_stream<xpu>();
const TBlob& ograd = inputs[0];
const TBlob& igrad = outputs[0];
const SliceParam& param = nnvm::get<SliceParam>(attrs.parsed);
if (req[0] == kWriteTo) {
Fill(s, igrad, req[0], 0);
} else if (req[0] == kWriteInplace) {
LOG(FATAL) << "_slice_backward does not support kWriteInplace";
}
if (ograd.Size() == 0) return;
MXNET_NDIM_SWITCH(ograd.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
GetIndexRange(igrad.shape_, param.begin, param.end, param.step, &begin, &end, &step);
MSHADOW_TYPE_SWITCH(ograd.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
int num_threads = ograd.shape_.FlatTo2D()[0];
if (std::is_same<xpu, gpu>::value) {
num_threads *= ograd.shape_.get<ndim>()[ndim - 1];
}
mxnet_op::Kernel<slice_assign<ndim, Req, xpu>, xpu>::Launch(s, num_threads,
igrad.dptr<DType>(), ograd.dptr<DType>(),
igrad.shape_.get<ndim>(), ograd.shape_.get<ndim>(), begin, step);
})
})
})
}
inline bool SliceAssignOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
CHECK_EQ(in_attrs->size(), 2U);
CHECK_EQ(out_attrs->size(), 1U);
const mxnet::TShape& dshape = (*in_attrs)[0];
if (!mxnet::ndim_is_known(dshape)) return false;
mxnet::TShape vshape = dshape; // vshape is the value shape on the right hand side
const SliceParam& param = nnvm::get<SliceParam>(attrs.parsed);
MXNET_NDIM_SWITCH(dshape.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
GetIndexRange(dshape, param.begin, param.end, param.step, &begin, &end, &step);
for (int i = 0; i < param.begin.ndim(); ++i) {
const int b = begin[i], e = end[i], s = step[i];
SetSliceOpOutputDimSize(dshape, i, b, e, s, &vshape);
}
})
SHAPE_ASSIGN_CHECK(*in_attrs, 1, vshape);
SHAPE_ASSIGN_CHECK(*out_attrs, 0, dshape);
return true;
}
template<typename xpu>
void SliceAssignOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
CHECK_EQ(inputs.size(), 2U); // data[index] = val, data and val are two inputs
CHECK_EQ(outputs.size(), 1U);
if (req[0] == kNullOp) return;
Stream<xpu> *s = ctx.get_stream<xpu>();
const TBlob& data = inputs[0];
const TBlob& val = inputs[1];
const TBlob& out = outputs[0];
if (req[0] == kWriteTo) {
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
Tensor<xpu, 1, DType> in = inputs[0].FlatTo1D<xpu, DType>(s);
Tensor<xpu, 1, DType> out = outputs[0].FlatTo1D<xpu, DType>(s);
Copy(out, in, s);
});
} else if (req[0] != kWriteInplace) {
LOG(FATAL) << "_slice_assign only supports kWriteTo and kWriteInplace";
}
const SliceParam& param = nnvm::get<SliceParam>(attrs.parsed);
MXNET_NDIM_SWITCH(data.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
bool zero_size_shape = GetIndexRange(data.shape_, param.begin, param.end, param.step,
&begin, &end, &step);
if (zero_size_shape) {
return; // slice_assign of zero-sized subspace needs no operation.
}
MSHADOW_TYPE_SWITCH(out.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
int num_threads = val.shape_.FlatTo2D()[0];
if (std::is_same<xpu, gpu>::value) {
num_threads *= val.shape_.get<ndim>()[ndim - 1];
}
mxnet_op::Kernel<slice_assign<ndim, Req, xpu>, xpu>::Launch(s, num_threads,
out.dptr<DType>(), val.dptr<DType>(),
out.shape_.get<ndim>(), val.shape_.get<ndim>(), begin, step);
})
})
})
}
struct SliceAssignScalarParam : public dmlc::Parameter<SliceAssignScalarParam> {
double scalar;
mxnet::Tuple<dmlc::optional<index_t>> begin, end;
mxnet::Tuple<dmlc::optional<index_t>> step;
DMLC_DECLARE_PARAMETER(SliceAssignScalarParam) {
DMLC_DECLARE_FIELD(scalar)
.set_default(0)
.describe("The scalar value for assignment.");
DMLC_DECLARE_FIELD(begin)
.describe("starting indices for the slice operation, supports negative indices.");
DMLC_DECLARE_FIELD(end)
.describe("ending indices for the slice operation, supports negative indices.");
DMLC_DECLARE_FIELD(step)
.set_default(mxnet::Tuple<dmlc::optional<index_t>>())
.describe("step for the slice operation, supports negative values.");
}
};
inline bool SliceAssignScalarOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
const mxnet::TShape& dshape = (*in_attrs)[0];
if (!shape_is_known(dshape)) return false;
SHAPE_ASSIGN_CHECK(*out_attrs, 0, dshape);
return true;
}
template<int ndim>
struct slice_assign_scalar {
// i is the i-th row after flattening out into 2D tensor
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType val,
const OpReqType req,
const mshadow::Shape<ndim> oshape,
const mshadow::Shape<ndim> vshape,
const common::StaticArray<index_t, ndim> begin,
const common::StaticArray<index_t, ndim> step) {
const index_t data_last_dim_size = oshape[ndim-1];
const index_t out_last_dim_size = vshape[ndim-1];
const index_t step_last_dim = step[ndim-1];
const index_t begin_last_dim = begin[ndim-1];
for (index_t j = 0; j < out_last_dim_size; ++j) {
index_t irow = 0; // row id of flattend 2D out
index_t stride = 1;
index_t idx = i;
#pragma unroll
for (int k = ndim - 2; k >= 0; --k) {
irow += stride * ((idx % vshape[k]) * step[k] + begin[k]);
idx /= vshape[k];
stride *= oshape[k];
}
KERNEL_ASSIGN(out[irow * data_last_dim_size + j * step_last_dim + begin_last_dim], req, val);
}
}
};
template<typename xpu>
void SliceAssignScalarOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
CHECK_EQ(req.size(), 1U);
using namespace mshadow;
Stream<xpu> *s = ctx.get_stream<xpu>();
const TBlob& data = inputs[0];
const TBlob& out = outputs[0];
if (req[0] == kWriteTo) {
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
Tensor<xpu, 1, DType> in = inputs[0].FlatTo1D<xpu, DType>(s);
Tensor<xpu, 1, DType> out = outputs[0].FlatTo1D<xpu, DType>(s);
Copy(out, in, s);
});
} else if (req[0] != kWriteInplace) {
LOG(FATAL) << "_crop_assign_scalar only supports kWriteTo and kWriteInplace";
}
mxnet::TShape vshape = data.shape_;
const SliceAssignScalarParam& param = nnvm::get<SliceAssignScalarParam>(attrs.parsed);
MXNET_NDIM_SWITCH(data.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
bool zero_size_shape = GetIndexRange(data.shape_, param.begin, param.end, param.step,
&begin, &end, &step);
if (zero_size_shape) {
return; // slice_assign of zero-sized subspaced needs no operation.
}
for (index_t i = 0; i < param.begin.ndim(); ++i) {
const int b = begin[i], e = end[i], s = step[i];
SetSliceOpOutputDimSize(data.shape_, i, b, e, s, &vshape);
}
MSHADOW_TYPE_SWITCH_WITH_BOOL(out.type_flag_, DType, {
mxnet_op::Kernel<slice_assign_scalar<ndim>, xpu>::Launch(s, vshape.FlatTo2D()[0],
out.dptr<DType>(), static_cast<DType>(param.scalar), req[0],
out.shape_.get<ndim>(), vshape.get<ndim>(), begin, step);
})
})
}
struct SliceAxisParam : public dmlc::Parameter<SliceAxisParam> {
int axis;
index_t begin;
dmlc::optional<index_t> end;
DMLC_DECLARE_PARAMETER(SliceAxisParam) {
DMLC_DECLARE_FIELD(axis)
.describe("Axis along which to be sliced, supports negative indexes.");
DMLC_DECLARE_FIELD(begin)
.describe("The beginning index along the axis to be sliced, "
" supports negative indexes.");
DMLC_DECLARE_FIELD(end)
.describe("The ending index along the axis to be sliced, "
" supports negative indexes.");
}
};
inline void GetSliceAxisParams(const SliceAxisParam& param, const mxnet::TShape& ishape,
int* axis, index_t* begin, index_t* end) {
*axis = param.axis;
if (*axis < 0) {
*axis += ishape.ndim();
}
CHECK(*axis < ishape.ndim() && *axis >= 0) <<
"Transformed axis must be smaller than the source ndim and larger than zero! Recieved axis=" <<
param.axis << ", src_ndim=" << ishape.ndim() << ", transformed axis=" << *axis;
index_t axis_size = static_cast<index_t>(ishape[*axis]);
*begin = param.begin;
*end = -1;
if (*begin < 0) {
*begin += axis_size;
}
if (axis_size > 0) {
if (!static_cast<bool>(param.end)) {
*end = axis_size;
} else {
*end = param.end.value();
if (*end < 0) {
*end += axis_size;
}
}
CHECK(*end <= axis_size) << "Invalid end for end=" << *end << " as axis_size is " << axis_size;
CHECK((*begin < *end))
<< "Invalid begin, end, get begin=" << param.begin << ", end=" << param.end;
} else {
*begin = 0;
*end = 0;
}
CHECK(*end >= 0)
<< "Invalid begin, end, get begin=" << param.begin << ", end=" << param.end;
CHECK(*begin >= 0) << "Invalid begin for begin=" << param.begin;
}
inline bool SliceAxisShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const SliceAxisParam& param = nnvm::get<SliceAxisParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
mxnet::TShape& ishape = (*in_attrs)[0];
if (!mxnet::ndim_is_known(ishape)) return false;
int axis;
index_t begin, end;
GetSliceAxisParams(param, ishape, &axis, &begin, &end);
if (!mxnet::dim_size_is_known(ishape, axis)) {
SHAPE_ASSIGN_CHECK(*out_attrs, 0, ishape);
return false;
}
mxnet::TShape shape(ishape.ndim(), -1);
for (int i = 0; i < ishape.ndim(); ++i) {
if (i == axis) {
shape[i] = static_cast<index_t>(end - begin);
} else {
shape[i] = ishape[i];
}
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, shape);
return shape_is_known(shape);
}
template<typename xpu>
void SliceAxis(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow::expr;
const SliceAxisParam& param = nnvm::get<SliceAxisParam>(attrs.parsed);
mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
int axis;
index_t begin, end;
GetSliceAxisParams(param, inputs[0].shape_, &axis, &begin, &end);
int ndim = outputs[0].ndim();
if (axis + 1 == ndim) {
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
mshadow::Tensor<xpu, 2, DType> in =
inputs[0].FlatTo2D<xpu, DType>(s);
mshadow::Tensor<xpu, 2, DType> out =
outputs[0].FlatTo2D<xpu, DType>(s);
ASSIGN_DISPATCH(out, req[0], slice<1>(in, begin, end));
});
} else {
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
mshadow::Tensor<xpu, 3, DType> in =
inputs[0].FlatTo3D<xpu, DType>(axis, s);
mshadow::Tensor<xpu, 3, DType> out =
outputs[0].FlatTo3D<xpu, DType>(axis, s);
ASSIGN_DISPATCH(out, req[0], slice<1>(in, begin, end));
});
}
}
// Backward pass of broadcast over the given axis
template<typename xpu>
void SliceAxisGrad_(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
if (outputs[0].shape_.Size() == 0) {
return;
}
const SliceAxisParam& param = nnvm::get<SliceAxisParam>(attrs.parsed);
using namespace mshadow::op;
using namespace mshadow::expr;
mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
int axis;
index_t begin, end;
GetSliceAxisParams(param, outputs[0].shape_, &axis, &begin, &end);
int ndim = outputs[0].shape_.ndim();
if (axis + 1 == ndim) {
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
mshadow::Tensor<xpu, 2, DType> ograd =
inputs[0].FlatTo2D<xpu, DType>(s);
mshadow::Tensor<xpu, 2, DType> igrad =
outputs[0].FlatTo2D<xpu, DType>(s);
if (req[0] == kAddTo) {
slice<1>(igrad, begin, end) += F<identity>(ograd);
} else if (req[0] == kWriteTo) {
igrad = 0.0f;
slice<1>(igrad, begin, end) = F<identity>(ograd);
} else {
CHECK_EQ(req[0], kNullOp);
}
});
} else {
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
mshadow::Tensor<xpu, 3, DType> ograd =
inputs[0].FlatTo3D<xpu, DType>(axis, s);
mshadow::Tensor<xpu, 3, DType> igrad =
outputs[0].FlatTo3D<xpu, DType>(axis, s);
if (req[0] == kAddTo) {
slice<1>(igrad, begin, end) += F<identity>(ograd);
} else if (req[0] == kWriteTo) {
igrad = 0.0f;
slice<1>(igrad, begin, end) = F<identity>(ograd);
} else {
CHECK_EQ(req[0], kNullOp);
}
});
}
}
struct SliceLikeParam : public dmlc::Parameter<SliceLikeParam> {
mxnet::Tuple<int> axes;
DMLC_DECLARE_PARAMETER(SliceLikeParam) {
DMLC_DECLARE_FIELD(axes).set_default(mxnet::Tuple<int>())
.describe("List of axes on which input data will be sliced according to the "
"corresponding size of the second input. By default will slice on "
"all axes. Negative axes are supported.");
}
};
inline bool SliceLikeShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const SliceLikeParam& param = nnvm::get<SliceLikeParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 2U);
CHECK_EQ(out_attrs->size(), 1U);
mxnet::TShape& ishape = (*in_attrs)[0];
mxnet::TShape& from_shape = (*in_attrs)[1];
if (param.axes.ndim() == 0) {
CHECK_EQ(ishape.ndim(), from_shape.ndim())
<< "By default slice_axis performs slice on all axes, but ndim mismatch "
"for inputs: " << ishape.ndim() << " vs. " << from_shape.ndim();
for (int i = 0; i < ishape.ndim(); ++i) {
CHECK_GE(ishape[i], from_shape[i])
<< "Slice axis " << i << " with size " << from_shape[i]
<< "exceeds limit of input with size " << ishape[i];
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, from_shape);
} else {
mxnet::TShape shape(ishape);
for (int i = 0; i < param.axes.ndim(); ++i) {
int axis = param.axes[i];
if (axis < 0) {
axis += ishape.ndim();
}
CHECK_GE(axis, 0)
<< "Slice axis: " << param.axes[i] << " too small";
CHECK_GT(ishape.ndim(), axis)
<< "Slice axis: " << axis << " exceeds first input: " << ishape.ndim();
CHECK_GT(from_shape.ndim(), axis)
<< "Slice axis: " << axis << " exceeds second input: " << from_shape.ndim();
shape[axis] = from_shape[axis];
CHECK_GE(ishape[axis], from_shape[axis])
<< "Slice axis " << axis << " with size " << from_shape[axis]
<< "exceeds limit of input with size " << ishape[axis];
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, shape);
}
return true;
}
inline void SliceLikeInferRanges(const mxnet::TShape& dshape,
const mxnet::TShape& fshape,
const mxnet::Tuple<int>& axes,
mxnet::Tuple<dmlc::optional<index_t>>* param_begin,
mxnet::Tuple<dmlc::optional<index_t>>* param_end,
mxnet::Tuple<dmlc::optional<index_t>>* param_step) {
std::vector<dmlc::optional<index_t>> pb(dshape.ndim());
std::vector<dmlc::optional<index_t>> pe(dshape.ndim());
std::vector<dmlc::optional<index_t>> ps(dshape.ndim());
if (axes.ndim() == 0) {
for (int i = 0; i < dshape.ndim(); ++i) {
pb[i] = 0;
pe[i] = fshape[i];
ps[i] = 1;
}
} else {
for (int i = 0; i < axes.ndim(); ++i) {
int axis = axes[i];
if (axis < 0) {
axis += dshape.ndim();
}
CHECK_GE(axis, 0)
<< "Slice axis: " << axes[i] << " too small";
CHECK_LT(axis, dshape.ndim())
<< "Slice axis: " << axis << " exceeds first input: " << dshape.ndim();
CHECK_LT(axis, fshape.ndim())
<< "Slice axis: " << axis << " exceeds first input: " << fshape.ndim();
pb[axis] = 0;
pe[axis] = fshape[axis];
ps[axis] = 1;
}
}
*param_begin = mxnet::Tuple<dmlc::optional<index_t>>(pb.begin(), pb.end());
*param_end = mxnet::Tuple<dmlc::optional<index_t>>(pe.begin(), pe.end());
*param_step = mxnet::Tuple<dmlc::optional<index_t>>(ps.begin(), ps.end());
}
template<typename xpu>
void SliceLikeForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 2U);
CHECK_EQ(outputs.size(), 1U);
CHECK_EQ(req.size(), 1U);
using namespace mshadow::expr;
const SliceLikeParam& param = nnvm::get<SliceLikeParam>(attrs.parsed);
mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
const TBlob& data = inputs[0];
const TBlob& out = outputs[0];
const mxnet::TShape& ishape = data.shape_;
const mxnet::TShape& from_shape = inputs[1].shape_;
mxnet::Tuple<dmlc::optional<index_t>> param_begin;
mxnet::Tuple<dmlc::optional<index_t>> param_end;
mxnet::Tuple<dmlc::optional<index_t>> param_step;
SliceLikeInferRanges(ishape, from_shape, param.axes, ¶m_begin, ¶m_end, ¶m_step);
MXNET_NDIM_SWITCH(data.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
GetIndexRange(data.shape_, param_begin, param_end, param_step, &begin, &end, &step);
MSHADOW_TYPE_SWITCH(out.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
int num_threads = out.shape_.FlatTo2D()[0];
if (std::is_same<xpu, gpu>::value) {
num_threads *= out.shape_.get<ndim>()[ndim - 1];
}
mxnet_op::Kernel<slice_forward<ndim, Req, xpu>, xpu>::Launch(s,
num_threads, out.dptr<DType>(), data.dptr<DType>(),
data.shape_.get<ndim>(), out.shape_.get<ndim>(), begin, step);
})
})
})
}
template<typename xpu>
void SliceLikeBackward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 2U);
CHECK_EQ(req.size(), 2U);
using namespace mshadow;
Stream<xpu>* s = ctx.get_stream<xpu>();
if (req[1] != kNullOp && req[1] != kAddTo) {
Fill(s, outputs[1], req[1], 0); // Second input not relavant to gradients.
}
if (req[0] == kNullOp) return;
const TBlob& ograd = inputs[0];
const TBlob& igrad = outputs[0];
const SliceLikeParam& param = nnvm::get<SliceLikeParam>(attrs.parsed);
if (req[0] == kWriteTo) {
Fill(s, igrad, req[0], 0);
} else if (req[0] == kWriteInplace) {
LOG(FATAL) << "_slice_like_backward does not support kWriteInplace";
}
const mxnet::TShape& ishape = ograd.shape_;
const mxnet::TShape& from_shape = outputs[1].shape_;
mxnet::Tuple<dmlc::optional<index_t>> param_begin;
mxnet::Tuple<dmlc::optional<index_t>> param_end;
mxnet::Tuple<dmlc::optional<index_t>> param_step;
SliceLikeInferRanges(ishape, from_shape, param.axes, ¶m_begin, ¶m_end, ¶m_step);
MXNET_NDIM_SWITCH(ograd.ndim(), ndim, {
common::StaticArray<index_t, ndim> begin, end, step;
GetIndexRange(ograd.shape_, param_begin, param_end, param_step, &begin, &end, &step);
MSHADOW_TYPE_SWITCH(ograd.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
int num_threads = ograd.shape_.FlatTo2D()[0];
if (std::is_same<xpu, gpu>::value) {
num_threads *= ograd.shape_.get<ndim>()[ndim - 1];
}
mxnet_op::Kernel<slice_assign<ndim, Req, xpu>, xpu>::Launch(s, num_threads,
igrad.dptr<DType>(), ograd.dptr<DType>(),
igrad.shape_.get<ndim>(), ograd.shape_.get<ndim>(), begin, step);
})
})
})
}
struct ClipParam : public dmlc::Parameter<ClipParam> {
real_t a_min, a_max;
DMLC_DECLARE_PARAMETER(ClipParam) {
DMLC_DECLARE_FIELD(a_min)
.describe("Minimum value");
DMLC_DECLARE_FIELD(a_max)
.describe("Maximum value");
}
};
struct clip {
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* datas,
const float a_min, const float a_max) {
DType data = datas[i];
if (data > a_max) {
out[i] = a_max;
} else if (data < a_min) {
out[i] = a_min;
} else {
out[i] = data;
}
}
};
struct clip_grad {
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* grad, const DType* datas,
const float a_min, const float a_max) {
DType data = datas[i];
if (data > a_max) {
out[i] = 0;
} else if (data < a_min) {
out[i] = 0;
} else {
out[i] = grad[i];
}
}
};
template<typename xpu>
void Clip(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
const ClipParam& param = nnvm::get<ClipParam>(attrs.parsed);
CHECK_EQ(inputs[0].type_flag_, outputs[0].type_flag_);
Stream<xpu> *s = ctx.get_stream<xpu>();
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
mxnet_op::Kernel<mxnet::op::clip, xpu>::Launch(s, outputs[0].Size(), outputs[0].dptr<DType>(),
inputs[0].dptr<DType>(),
param.a_min, param.a_max);
});
}
template<typename xpu>
void ClipEx(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<NDArray>& inputs,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& outputs) {
CHECK_EQ(inputs[0].dtype(), outputs[0].dtype());
CHECK_EQ(inputs[0].storage_type(), outputs[0].storage_type());
CHECK_NE(inputs[0].storage_type(), kDefaultStorage);
UnaryOp::MapToFCompute<xpu>(attrs, ctx, inputs, req, outputs, Clip<xpu>);
}
template<typename xpu>
void ClipGrad_(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mxnet_op;
const ClipParam& param = nnvm::get<ClipParam>(attrs.parsed);
CHECK_EQ(inputs[0].type_flag_, outputs[0].type_flag_);
Stream<xpu> *s = ctx.get_stream<xpu>();
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
Kernel<clip_grad, xpu>::Launch(s, outputs[0].Size(), outputs[0].dptr<DType>(),
inputs[0].dptr<DType>(), inputs[1].dptr<DType>(), param.a_min, param.a_max);
});
}
/*!
* \brief The parameters of the repeat operator include
* the number of repeating time and axis (optional).
* The parameters will be later used to deduce the
* output ndarray shape in bool RepeatShape() function.
*/
struct RepeatParam : public dmlc::Parameter<RepeatParam> {
int repeats = 1;
dmlc::optional<int> axis;
DMLC_DECLARE_PARAMETER(RepeatParam) {
DMLC_DECLARE_FIELD(repeats)
.describe("The number of repetitions for each element.");
DMLC_DECLARE_FIELD(axis)
.set_default(dmlc::optional<int>())
.describe("The axis along which to repeat values."
" The negative numbers are interpreted counting from the backward."
" By default, use the flattened input array,"
" and return a flat output array.");
}
};
/*!
* \brief Helper function for getting user input params for the operator repeat.
* Sanity check the user input values.
*/
inline void GetRepeatParams(const RepeatParam& param, const mxnet::TShape& ishape,
int* repeats, dmlc::optional<int>* axisOpt) {
*repeats = param.repeats;
CHECK_GE(*repeats, 0) << "repeats cannot be a negative number";
*axisOpt = param.axis;
if (static_cast<bool>(*axisOpt)) {
int ndims = ishape.ndim();
int axis = axisOpt->value();
if (axis < 0) {
axis += ndims;
}
CHECK(axis >= 0 && axis < ndims) << "axis = " << axisOpt->value() << " out of bounds";
}
}
inline bool RepeatOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const RepeatParam& param = nnvm::get<RepeatParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
const mxnet::TShape& ishape = (*in_attrs)[0];
int repeats = 0;
dmlc::optional<int> axisOpt;
GetRepeatParams(param, ishape, &repeats, &axisOpt);
// If 0 repeats, return an empty 1-dim, 0-size array
if (0 == repeats) {
SHAPE_ASSIGN_CHECK(*out_attrs, 0, mxnet::TShape(1, 0));
return true;
}
// If repeats > 0, multiply the size of the corresponding axis by repeats
if (static_cast<bool>(axisOpt)) {
int ndims = ishape.ndim();
int axis = axisOpt.value();
if (axis < 0) {
axis += ndims;
}
mxnet::TShape shape(ishape.ndim(), -1);
for (int i = 0; i < ishape.ndim(); ++i) {
if (i == axis) {
shape[i] = repeats * ishape[i];
} else {
shape[i] = ishape[i];
}
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, shape);
} else { // If axis is not input by user, return a flat 1D array of size = in.size*repeats
mxnet::TShape shape(1, ishape.Size() * repeats);
SHAPE_ASSIGN_CHECK(*out_attrs, 0, shape);
}
return shape_is_known(out_attrs->at(0));
}
inline bool RepeatOpType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
if ((*in_attrs)[0] != -1) {
TYPE_ASSIGN_CHECK(*out_attrs, 0, (*in_attrs)[0]);
} else if ((*out_attrs)[0] != -1) {
TYPE_ASSIGN_CHECK(*in_attrs, 0, (*out_attrs)[0]);
}
return true;
}
/*!
* \brief Reshape the input and output tensors for
* using broadcast_to to achieve the funcitonality
* of operator repeat.
* \return a pair of mxnet::TShape's, first is the reshaped
* input shape, second is the reshaped output shape.
*/
inline std::pair<mxnet::TShape, mxnet::TShape> ReshapeInputOutputForRepeatOp(
const mxnet::TShape& ishape,
const dmlc::optional<int>& axisOpt,
const int repeats) {
if (static_cast<bool>(axisOpt)) {
int axis = axisOpt.value();
int ndim = ishape.ndim();
if (axis < 0) {
axis += ndim;
}
CHECK(axis >= 0 && axis < ishape.ndim()) << "Invalid input of axis";
// reshape the input tensor by adding a dim at the (axis+1)-th dim
mxnet::TShape rshape(ishape.ndim()+1, 1);
// the shape we want to broadcast to
mxnet::TShape bshape(rshape.ndim(), 1);
int i = 0;
while (i <= axis) {
rshape[i] = bshape[i] = ishape[i];
++i;
}
rshape[i] = 1;
bshape[i] = repeats;
while (i < ishape.ndim()) {
rshape[i+1] = ishape[i];
bshape[i+1] = ishape[i];
++i;
}
return std::make_pair(rshape, bshape);
} else {
// axis is not input by user
// reshape the tensor into shape (ishape.Size(), 1)
// then add one dim at axis = 1 and broadcast to
// shape (ishape.Size(), repeats)
mxnet::TShape rshape(2, 1);
rshape[0] = ishape.Size();
rshape[1] = 1;
mxnet::TShape bshape(2, 1);
bshape[0] = rshape[0];
bshape[1] = repeats;
return std::make_pair(rshape, bshape);
}
}
template<typename xpu>
void RepeatOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
const TBlob& iTBlob = inputs[0];
const mxnet::TShape& ishape = iTBlob.shape_;
if (!shape_is_known(ishape)) return;
int repeats = 0;
dmlc::optional<int> axisOpt;
const RepeatParam& param = nnvm::get<RepeatParam>(attrs.parsed);
GetRepeatParams(param, ishape, &repeats, &axisOpt);
if (0 == repeats) return;
std::pair<mxnet::TShape, mxnet::TShape> rshapes = \
ReshapeInputOutputForRepeatOp(ishape, axisOpt, repeats);
// reshaped input tblob
TBlob iblob(inputs[0].dptr_, rshapes.first, inputs[0].dev_mask(),
inputs[0].type_flag_, inputs[0].dev_id());
std::vector<TBlob> newInputs = {iblob};
// reshaped output tblob
TBlob oblob(outputs[0].dptr_, rshapes.second, outputs[0].dev_mask(),
outputs[0].type_flag_, outputs[0].dev_id());
std::vector<TBlob> newOutputs = {oblob};
BroadcastCompute<xpu>(attrs, ctx, newInputs, req, newOutputs);
}
/*!
* \brief Compute the gradient of the loss function
* with respect to the input of the operator.
* Backpropagation is employed to implement the
* chain rule.
* \param inputs the gradient of the loss function
* with respect to the outputs of the operator
* \param outputs the gradient of the loss function
* with respect to the inputs of the operator
*/
template<typename xpu>
void RepeatOpBackward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
const mxnet::TShape& oshape = outputs[0].shape_;
if (!shape_is_known(oshape)) return;
int repeats = 0;
dmlc::optional<int> axisOpt;
const RepeatParam& param = nnvm::get<RepeatParam>(attrs.parsed);
GetRepeatParams(param, oshape, &repeats, &axisOpt);
if (0 == repeats) return;
std::pair<mxnet::TShape, mxnet::TShape> rshapes =
ReshapeInputOutputForRepeatOp(oshape, axisOpt, repeats);
// reshaped output grad tblob
TBlob oblob(outputs[0].dptr_, rshapes.first, outputs[0].dev_mask(),
outputs[0].type_flag_, outputs[0].dev_id());
std::vector<TBlob> newOutputs = {oblob};
// reshaped input grad tblob
TBlob iblob(inputs[0].dptr_, rshapes.second, inputs[0].dev_mask(),
inputs[0].type_flag_, inputs[0].dev_id());
std::vector<TBlob> newInputs = {iblob};
ReduceAxesComputeImpl<xpu, mshadow::red::sum, false, false>(
ctx, newInputs, req, newOutputs, rshapes.first);
}
struct TileParam : public dmlc::Parameter<TileParam> {
mxnet::Tuple<int> reps;
DMLC_DECLARE_PARAMETER(TileParam) {
DMLC_DECLARE_FIELD(reps)
.describe("The number of times for repeating the tensor a. Each dim size of reps"
" must be a positive integer."
" If reps has length d, the result will have dimension of max(d, a.ndim);"
" If a.ndim < d, a is promoted to be d-dimensional by prepending new axes."
" If a.ndim > d, reps is promoted to a.ndim by pre-pending 1's to it.");
}
};
inline bool TileOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
const TileParam& param = nnvm::get<TileParam>(attrs.parsed);
const mxnet::TShape& ishape = (*in_attrs)[0];
if (!shape_is_known(ishape)) {
return false;
}
const mxnet::Tuple<int>& reps = param.reps;
// If reps is empty, return a identical input array
if (reps.ndim() == 0) {
SHAPE_ASSIGN_CHECK(*out_attrs, 0, ishape);
return true;
}
mxnet::TShape oshape(std::max(ishape.ndim(), reps.ndim()), -1);
int i1 = ishape.ndim() - 1;
int i2 = reps.ndim() - 1;
for (int i = oshape.ndim() - 1; i >= 0; --i) {
if (i1 >= 0 && i2 >= 0) {
oshape[i] = ishape[i1--] * reps[i2--];
} else if (i1 >= 0) {
oshape[i] = ishape[i1--];
} else if (i2 >= 0) {
oshape[i] = reps[i2--];
}
}
// If reps contains 0s, oshape is a zero-size shape.
// Need to distinguish between np_shape mode and legacy mode.
if (!Imperative::Get()->is_np_shape()) {
common::ConvertToNumpyShape(&oshape);
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, oshape);
return shape_is_known(oshape);
}
inline bool TileOpType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
if ((*in_attrs)[0] != -1) {
TYPE_ASSIGN_CHECK(*out_attrs, 0, (*in_attrs)[0]);
} else if ((*out_attrs)[0] != -1) {
TYPE_ASSIGN_CHECK(*in_attrs, 0, (*out_attrs)[0]);
}
return true;
}
/*!
* \brief Reshape the input and output tensors for
* using broadcast_to to achieve the functionality
* of operator tile.
* \return a pair of mxnet::TShape's, first is the reshaped
* input shape, second is the reshaped output shape.
*/
inline std::pair<mxnet::TShape, mxnet::TShape> ReshapeInputOutputForTileOp(
const mxnet::TShape& ishape,
const mxnet::Tuple<int>& reps) {
if (reps.ndim() == 0) {
return std::make_pair(ishape, ishape);
}
// The shape we want to broadcast to
mxnet::TShape bshape(std::max(ishape.ndim(), reps.ndim()) * 2, 1);
// The shape of the input tensor after adding new axes before each dim
mxnet::TShape rshape(bshape.ndim(), 1);
int i1 = ishape.ndim() - 1;
int i2 = reps.ndim() - 1;
for (int i = bshape.ndim() - 1; i >= 0; --i) {
if (0 == (i & 1)) {
bshape[i] = (i2 >= 0? reps[i2--] : 1);
rshape[i] = 1;
} else {
rshape[i] = bshape[i] = (i1 >= 0? ishape[i1--] : 1);
}
}
return std::make_pair(rshape, bshape);
}
/*!
* \brief Implementation of tiling the input tensor a based
* on the user-input shape, reps.
* If a.ndim < reps.ndim, new axes are pre-pended to a. For example,
* the input tensor has shape (3,), and the reps is (2, 4); the input
* tensor would be reshaped to (1, 3).
* If a.ndim > reps.ndim, pre-pending 1's to reps. For example,
* the input tensor has shape (2, 3, 4, 5), and reps is (2, 2);
* the reps would be changed to (1, 1, 2, 2).
* Suppose we have a.ndim = reps.ndim now. To achieve tiling,
* we utilize the operator broadcast_to. For example, for a tensor
* of shape (2, 3, 4, 5) and reps (2, 8, 9, 3), we first reshape
* the tensor to the shape (1, 2, 1, 3, 1, 4, 1, 5) by adding
* one axis before each dimension. Then, we want to broadcast
* the new tensor to shape (2, 2, 8, 3, 9, 4, 3, 5). The final
* output tensor would have shape (2*2, 8*3, 9*4, 3*5).
*/
template<typename xpu>
void TileOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
if (inputs[0].Size() == 0) return;
const mxnet::TShape& ishape = inputs[0].shape_;
const mxnet::Tuple<int>& reps = nnvm::get<TileParam>(attrs.parsed).reps;
// If any one of the number in reps is zero, return immediately
for (int i = 0; i < reps.ndim(); ++i) {
if (0 == reps[i]) return;
}
std::pair<mxnet::TShape, mxnet::TShape> rshapes = ReshapeInputOutputForTileOp(ishape, reps);
// reshaped input tblob
TBlob iblob(inputs[0].dptr_, rshapes.first, inputs[0].dev_mask(),
inputs[0].type_flag_, inputs[0].dev_id());
std::vector<TBlob> newInputs = {iblob};
// reshaped output tblob
TBlob oblob(outputs[0].dptr_, rshapes.second, outputs[0].dev_mask(),
outputs[0].type_flag_, outputs[0].dev_id());
std::vector<TBlob> newOutputs = {oblob};
BroadcastCompute<xpu>(attrs, ctx, newInputs, req, newOutputs);
}
/*!
* \brief Compute the gradient of the loss function
* with respect to the input of the operator.
* Backpropagation is employed to implement the
* chain rule.
* \param inputs the gradient of the loss function
* with respect to the outputs of the operator
* \param outputs the gradient of the loss function
* with respect to the inputs of the operator
*/
template<typename xpu>
void TileOpBackward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
if (inputs[0].Size() == 0) return;
const mxnet::TShape& oshape = outputs[0].shape_;
const mxnet::Tuple<int>& reps = nnvm::get<TileParam>(attrs.parsed).reps;
// If any one of the number in reps is zero, return immediately
for (int i = 0; i < reps.ndim(); ++i) {
if (0 == reps[i]) return;
}
std::pair<mxnet::TShape, mxnet::TShape> rshapes = ReshapeInputOutputForTileOp(oshape, reps);
// reshaped output grad tblob
TBlob oblob(outputs[0].dptr_, rshapes.first, outputs[0].dev_mask(),
outputs[0].type_flag_, outputs[0].dev_id());
std::vector<TBlob> newOutputs = {oblob};
// reshaped input grad tblob
TBlob iblob(inputs[0].dptr_, rshapes.second, inputs[0].dev_mask(),
inputs[0].type_flag_, inputs[0].dev_id());
std::vector<TBlob> newInputs = {iblob};
ReduceAxesComputeImpl<xpu, mshadow::red::sum, false, false>(
ctx, newInputs, req, newOutputs, rshapes.first);
}
struct ReverseParam : public dmlc::Parameter<ReverseParam> {
mxnet::Tuple<int> axis;
DMLC_DECLARE_PARAMETER(ReverseParam) {
DMLC_DECLARE_FIELD(axis)
.describe("The axis which to reverse elements.");
}
};
#define REVERSE_MAX_DIM 10U
struct reverse {
MSHADOW_XINLINE static index_t ReverseIndex(index_t idx,
index_t nreversedim,
const index_t * stride_,
const index_t * trailing_) {
index_t outputIndex = idx;
for (index_t i = 0; i < nreversedim; ++i) {
const index_t low = outputIndex % trailing_[i];
index_t high = outputIndex / trailing_[i];
const index_t x = high%stride_[i];
high /= stride_[i];
outputIndex = (high*stride_[i] + stride_[i] - 1 - x)*trailing_[i] + low;
}
return outputIndex;
}
#ifdef __CUDACC__
template<typename DType>
__device__ static void Map(index_t index, index_t nreversedim, const DType *src, DType *dst,
const index_t * stride_,
const index_t * trailing_) {
__shared__ index_t stride_share[REVERSE_MAX_DIM];
__shared__ index_t trailing_share[REVERSE_MAX_DIM];
if (threadIdx.x < REVERSE_MAX_DIM) {
stride_share[threadIdx.x] = stride_[threadIdx.x];
trailing_share[threadIdx.x] = trailing_[threadIdx.x];
}
__syncthreads();
index_t new_idx = ReverseIndex(index, nreversedim, stride_share, trailing_share);
dst[new_idx] = src[index];
}
#else
template<typename DType>
MSHADOW_XINLINE static void Map(index_t index, index_t nreversedim, const DType *src, DType *dst,
const index_t * stride_,
const index_t * trailing_) {
index_t new_idx = ReverseIndex(index, nreversedim, stride_, trailing_);
dst[new_idx] = src[index];
}
#endif
};
template<typename xpu>
void ReverseOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mxnet_op;
const ReverseParam& param = nnvm::get<ReverseParam>(attrs.parsed);
CHECK_EQ(inputs[0].type_flag_, outputs[0].type_flag_);
CHECK_LT(param.axis.ndim(), REVERSE_MAX_DIM);
Stream<xpu> *s = ctx.get_stream<xpu>();
const mxnet::TShape& ishape = inputs[0].shape_;
std::vector<index_t> stride_(param.axis.ndim());
std::vector<index_t> trailing_(param.axis.ndim());
index_t reverse_index = 0;
for (int axis : param.axis) {
CHECK_LT(axis, ishape.ndim());
stride_[reverse_index] = ishape[axis];
trailing_[reverse_index] = 1;
for (int i2 = axis + 1; i2 < ishape.ndim(); ++i2) {
trailing_[reverse_index] *= ishape[i2];
}
reverse_index++;
}
#ifdef __CUDACC__
mshadow::Tensor<xpu, 1, uint8_t> workspace =
ctx.requested[0].get_space_typed<xpu, 1, uint8_t>(
mshadow::Shape1(reverse_index * sizeof(index_t) * 2), s);
auto stride_workspace = workspace.dptr_;
auto trailing_workspace = workspace.dptr_ + reverse_index * sizeof(index_t);
cudaMemcpyAsync(stride_workspace, thrust::raw_pointer_cast(stride_.data()),
stride_.size() * sizeof(index_t),
cudaMemcpyHostToDevice, mshadow::Stream<gpu>::GetStream(s));
cudaMemcpyAsync(trailing_workspace, thrust::raw_pointer_cast(trailing_.data()),
trailing_.size() * sizeof(index_t),
cudaMemcpyHostToDevice, mshadow::Stream<gpu>::GetStream(s));
#endif
#ifdef __CUDACC__
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
Kernel<reverse, xpu>::Launch(s, inputs[0].Size(), reverse_index,
inputs[0].dptr<DType>(), outputs[0].dptr<DType>(),
reinterpret_cast<index_t*>(stride_workspace), reinterpret_cast<index_t*>(trailing_workspace));
});
#else
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
Kernel<reverse, xpu>::Launch(s, inputs[0].Size(), reverse_index,
inputs[0].dptr<DType>(), outputs[0].dptr<DType>(),
stride_.data(), trailing_.data());
});
#endif
}
struct StackParam : public dmlc::Parameter<StackParam> {
int axis;
int num_args;
DMLC_DECLARE_PARAMETER(StackParam) {
DMLC_DECLARE_FIELD(axis)
.set_default(0)
.describe("The axis in the result array along which the input arrays are stacked.");
DMLC_DECLARE_FIELD(num_args).set_lower_bound(1)
.describe("Number of inputs to be stacked.");
}
};
inline bool StackOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const StackParam& param = dmlc::get<StackParam>(attrs.parsed);
mxnet::TShape dshape;
for (const mxnet::TShape& i : (*in_attrs)) {
shape_assign(&dshape, i);
}
if (!shape_is_known(dshape)) return false;
mxnet::TShape oshape(dshape.ndim() + 1, -1);
int axis = CheckAxis(param.axis, oshape.ndim());
for (int i = 0; i < axis; ++i) {
oshape[i] = dshape[i];
}
oshape[axis] = param.num_args;
for (index_t i = axis + 1; i < oshape.ndim(); ++i) {
oshape[i] = dshape[i-1];
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, oshape);
return shape_is_known(oshape);
}
template<typename xpu>
void StackOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mshadow::expr;
const StackParam& param = dmlc::get<StackParam>(attrs.parsed);
int axis = CheckAxis(param.axis, outputs[0].ndim());
Stream<xpu> *s = ctx.get_stream<xpu>();
MSHADOW_TYPE_SWITCH_WITH_BOOL(outputs[0].type_flag_, DType, {
std::vector<Tensor<xpu, 3, DType> > data(inputs.size());
Tensor<xpu, 3, DType> out;
size_t leading = 1, trailing = 1;
for (int i = 0; i < axis; ++i) {
leading *= outputs[0].shape_[i];
}
for (int i = axis + 1; i < outputs[0].ndim(); ++i) {
trailing *= outputs[0].shape_[i];
}
size_t mid = outputs[0].shape_[axis];
Shape<3> oshape = Shape3(leading, mid, trailing);
out = outputs[0].get_with_shape<xpu, 3, DType>(oshape, s);
for (size_t i = 0; i < inputs.size(); ++i) {
Shape<3> dshape = Shape3(leading, 1, trailing);
data[i] = inputs[i].get_with_shape<xpu, 3, DType>(dshape, s);
}
Concatenate(data, &out, 1, req[0]);
})
}
template<typename xpu>
void StackOpBackward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mshadow::expr;
const StackParam& param = dmlc::get<StackParam>(attrs.parsed);
int axis = CheckAxis(param.axis, inputs[0].ndim());
Stream<xpu> *s = ctx.get_stream<xpu>();
MSHADOW_TYPE_SWITCH_WITH_BOOL(inputs[0].type_flag_, DType, {
std::vector<Tensor<xpu, 3, DType> > grad_in(outputs.size());
Tensor<xpu, 3, DType> grad;
size_t leading = 1, trailing = 1;
for (int i = 0; i < axis; ++i) {
leading *= inputs[0].shape_[i];
}
for (int i = axis + 1; i < inputs[0].ndim(); ++i) {
trailing *= inputs[0].shape_[i];
}
size_t mid = inputs[0].shape_[axis];
Shape<3> oshape = Shape3(leading, mid, trailing);
grad = inputs[0].get_with_shape<xpu, 3, DType>(oshape, s);
for (size_t i = 0; i < outputs.size(); ++i) {
Shape<3> dshape = Shape3(leading, 1, trailing);
grad_in[i] = outputs[i].get_with_shape<xpu, 3, DType>(dshape, s);
}
Split(grad, &grad_in, 1, req);
})
}
struct SqueezeParam : public dmlc::Parameter<SqueezeParam> {
dmlc::optional<mxnet::Tuple<int>> axis;
DMLC_DECLARE_PARAMETER(SqueezeParam) {
DMLC_DECLARE_FIELD(axis)
.set_default(dmlc::optional<mxnet::Tuple<int>>())
.describe("Selects a subset of the single-dimensional entries in the shape."
" If an axis is selected with shape entry greater than one, an error is raised.");
}
};
// Given a shape that may have dim size equal to 0,
// move all the zeros to the last of the shape array
// and keep the relative order of the non-zero values.
// Returns the new shape size after moving all zeros to the end.
inline size_t SqueezeShapeHelper(mxnet::TShape* shape) {
CHECK(shape != nullptr);
size_t count = 0;
for (int i = 0; i < shape->ndim(); ++i) {
if ((*shape)[i] == -1) {
++count;
} else {
std::swap((*shape)[i], (*shape)[i-count]);
}
}
return shape->ndim() - count;
}
inline bool SqueezeShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
const SqueezeParam& param = nnvm::get<SqueezeParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U) << "Input: [data]";
CHECK_EQ(out_attrs->size(), 1U);
const mxnet::TShape& dshape = in_attrs->at(0);
const int dndim = dshape.ndim();
if (!shape_is_known(dshape)) return false;
mxnet::TShape oshape = dshape;
if (param.axis.has_value()) {
// preprocess axis
mxnet::Tuple<int> axes = param.axis.value();
for (int i = 0; i < axes.ndim(); ++i) {
if (axes[i] < 0) {
axes[i] += dndim;
CHECK_GE(axes[i], 0)
<< "axis " << axes[i] - dndim << " is out of bounds for array of dimension " << dndim;
}
CHECK_LT(axes[i], dndim)
<< "axis " << axes[i] << " is out of bounds for array of dimension " << dndim;
CHECK_EQ(dshape[axes[i]], 1)
<< "cannot select an axis to squeeze out which has size="
<< dshape[axes[i]] << " not equal to one";
CHECK_NE(oshape[axes[i]], -1) << "duplicate value in axis";
oshape[axes[i]] = -1;
}
} else {
for (int i = 0; i < oshape.ndim(); ++i) {
if (oshape[i] == 1) oshape[i] = -1;
}
}
size_t oshape_size = SqueezeShapeHelper(&oshape);
if (oshape_size == 0) { // corner case when dshape is (1, 1, 1, 1)
oshape[0] = 1;
oshape_size = 1;
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, mxnet::TShape(oshape.data(), oshape.data()+oshape_size));
return true;
}
struct DepthToSpaceParam : public dmlc::Parameter<DepthToSpaceParam> {
int block_size;
DMLC_DECLARE_PARAMETER(DepthToSpaceParam) {
DMLC_DECLARE_FIELD(block_size)
.describe("Blocks of [block_size. block_size] are moved");
}
};
inline bool DepthToSpaceOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector* in_attrs,
mxnet::ShapeVector* out_attrs) {
const DepthToSpaceParam& param = nnvm::get<DepthToSpaceParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
CHECK_EQ(in_attrs->at(0).ndim(), 4) << "Operation Depth To Space requires exactly 4D tensor";
mxnet::TShape expected_out(4, -1);
mxnet::TShape& in_shape = in_attrs->at(0);
int block = param.block_size;
CHECK_NE(block, 0) << "block_size must be a positive integer value";
CHECK_NE(in_shape[1], 0) << "Depth dimension:1 cannot be 0";
CHECK_EQ(in_shape[1] % (block * block), 0)
<< "Cannot perform Depth To Space operation on the specified tensor."
" Dimension:1(depth dimension) should be a multiple of 'block^2'";
CHECK_NE(in_shape[0], 0)
<< "Operation requires a 4D tensor. Size of dimension:0 cannot be 0";
CHECK_NE(in_shape[2], 0)
<< "Operation requires a 4D tensor. Size of dimension:2 cannot be 0";
CHECK_NE(in_shape[3], 0)
<< "Operation requires a 4D tensor. Size of dimension:3 cannot be 0";
expected_out[0] = in_shape[0];
expected_out[1] = in_shape[1] / (block * block);
int i = 2;
while (i < expected_out.ndim()) {
expected_out[i] = in_shape[i] * block;
++i;
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, expected_out);
return shape_is_known(expected_out);
}
inline bool DepthToSpaceOpType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
TYPE_ASSIGN_CHECK(*out_attrs, 0, in_attrs->at(0));
TYPE_ASSIGN_CHECK(*in_attrs, 0, out_attrs->at(0));
return out_attrs->at(0) != -1;
}
/*!
* \brief This function updates the value of input index from where the data element
* needs to be fetched and written out to the ith location in output tensor
* \param index_position index within offset array to get offset of given dimension
* \param dim_size size of current dimension
* \param idx output tensor index
* \param inp_index index within input tensor from where value is retrieved
* \param offset_arr array containing the linear offset of input tensor
*/
MSHADOW_XINLINE void update_index(index_t index_position, index_t dim_size, index_t *idx,
index_t *inp_index, const index_t* offset_arr) {
index_t next_idx_val = *idx / dim_size;
*inp_index += (*idx - next_idx_val * dim_size) * offset_arr[index_position];
*idx = next_idx_val;
}
/*!
* \brief This function performs the tensor transpose (0, 1, 2, 3, 4, 5) ->
* (0, 3, 4, 1, 5, 2) by computing linear index within input tensor to be mapped
* to the ith index of output tensor
* \param i tensor index
* \param out_data output tensor
* \param in_data input tensor
* \param block size of chunks to be moved out of depth dimension
* \param size array containing the size of each dimension of input tensor
* \param offset_arr array containing the linear offset of input tensor
*/
template<int req>
struct depth_to_space_forward {
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* in_data,
const int block, const index_t* size, const index_t* offset_arr) {
index_t inp_index = 0, idx = i, dim_size;
dim_size = block;
update_index(2, dim_size, &idx, &inp_index, offset_arr);
dim_size = size[3];
update_index(5, dim_size, &idx, &inp_index, offset_arr);
dim_size = block;
update_index(1, dim_size, &idx, &inp_index, offset_arr);
dim_size = size[2];
update_index(4, dim_size, &idx, &inp_index, offset_arr);
dim_size = size[1] / (block * block);
update_index(3, dim_size, &idx, &inp_index, offset_arr);
dim_size = size[0];
update_index(0, dim_size, &idx, &inp_index, offset_arr);
KERNEL_ASSIGN(out_data[i], req, in_data[inp_index]);
}
};
/*!
* \brief This function calculates the linear offset for each dimension of
* input tensor and stores them in an array, which is later used in
* performing depth_to_space operation
* \param i global thread id
* \param offset_arr array to be populated with offset values
* \param size array to be populated with size of each dimension of input tensor
* \param block size of chunks to be moved out of depth dimension
* \param size0 size of Dim 0 of input tensor
* \param size1 size of Dim 1 of input tensor
* \param size2 size of Dim 2 of input tensor
* \param size3 size of Dim 3 of input tensor
*/
template<int req>
struct compute_offset_for_depth_to_space {
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* offset_arr, DType* size, const int block,
const index_t size0, const index_t size1, const index_t size2,
const index_t size3) {
size[0] = size0;
size[1] = size1;
size[2] = size2;
size[3] = size3;
offset_arr[5] = 1;
offset_arr[4] = offset_arr[5] * size[3];
offset_arr[3] = offset_arr[4] * size[2];
offset_arr[2] = offset_arr[3] * size[1] / (block * block);
offset_arr[1] = offset_arr[2] * block;
offset_arr[0] = offset_arr[1] * block;
}
};
template<typename xpu>
void DepthToSpaceOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
CHECK_EQ(req.size(), 1U);
mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
const TBlob& in_data = inputs[0];
const TBlob& out_data = outputs[0];
const DepthToSpaceParam& param = nnvm::get<DepthToSpaceParam>(attrs.parsed);
using namespace mxnet_op;
int block = param.block_size;
mshadow::Tensor<xpu, 1, char> workspace =
ctx.requested[0].get_space_typed<xpu, 1, char>(mshadow::Shape1(sizeof(index_t) * 10), s);
char* workspace_curr_ptr = workspace.dptr_;
index_t* offset_arr = reinterpret_cast<index_t*>(workspace_curr_ptr);
index_t* size = reinterpret_cast<index_t*>(workspace_curr_ptr + sizeof(index_t) * 6);
MSHADOW_TYPE_SWITCH(out_data.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], req_type, {
Kernel<compute_offset_for_depth_to_space<req_type>, xpu>::Launch(
s, 1, offset_arr, size, block, in_data.shape_[0], in_data.shape_[1],
in_data.shape_[2], in_data.shape_[3]);
Kernel<depth_to_space_forward<req_type>, xpu>::Launch(
s, out_data.Size(), out_data.dptr<DType>(), in_data.dptr<DType>(),
block, size, offset_arr);
});
});
}
inline bool SpaceToDepthOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector* in_attrs,
mxnet::ShapeVector* out_attrs) {
const DepthToSpaceParam& param = nnvm::get<DepthToSpaceParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
CHECK_EQ(in_attrs->at(0).ndim(), 4) << "Operation Space To Depth requires exactly 4D tensor";
mxnet::TShape expected_out(in_attrs->at(0).ndim(), -1);
mxnet::TShape& in_shape = in_attrs->at(0);
int block = param.block_size;
CHECK_NE(block, 0) << "block_size must be a positive integer value";
CHECK_NE(in_shape[0], 0)
<< "Operation requires a 4D tensor. Size of dimension:0 cannot be 0";
CHECK_NE(in_shape[1], 0) << "Depth dimension:1 cannot be 0";
CHECK_NE(in_shape[2], 0)
<< "Operation requires a 4D tensor. Size of dimension:2 cannot be 0";
CHECK_EQ(in_shape[2] % block, 0)
<< "Cannot perform Depth To Space operation on the specified tensor."
" Dimension:2(1st Space dimension) should be a multiple of 'block' ";
CHECK_NE(in_shape[3], 0)
<< "Operation requires a 4D tensor. Size of dimension:3 cannot be 0";
CHECK_EQ(in_shape[3] % block, 0)
<< "Cannot perform Depth To Space operation on the specified tensor."
" Dimension:3(2nd space dimension) should be a multiple of 'block' ";
expected_out[0] = in_shape[0];
expected_out[1] = in_shape[1] * block * block;
int i = 2;
while (i < expected_out.ndim()) {
expected_out[i] = in_shape[i] / block;
++i;
}
SHAPE_ASSIGN_CHECK(*out_attrs, 0, expected_out);
return shape_is_known(expected_out);
}
inline bool SpaceToDepthOpType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
TYPE_ASSIGN_CHECK(*out_attrs, 0, in_attrs->at(0));
TYPE_ASSIGN_CHECK(*in_attrs, 0, out_attrs->at(0));
return out_attrs->at(0) != -1;
}
/*!
* \brief This function preforms the tensor transpose (0, 1, 2, 3, 4, 5) ->
* (0, 3, 5, 1, 2, 4) by computing linear index within input tensor to be mapped
* to the ith index of output tensor
* \param i tensor index
* \param out_data output tensor
* \param in_data input tensor
* \param block size of chunks to be moved out of depth dimension
* \param size array containing the size of each dimension of input tensor
* \param offset_arr array containing the linear offset of input tensor
*/
template<int req>
struct space_to_depth_forward {
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* in_data, const int block,
const index_t* size, const index_t* offset_arr) {
index_t inp_index = 0, idx = i, dim_size;
dim_size = size[3] / block;
update_index(4, dim_size, &idx, &inp_index, offset_arr);
dim_size = size[2] / block;
update_index(2, dim_size, &idx, &inp_index, offset_arr);
dim_size = size[1];
update_index(1, dim_size, &idx, &inp_index, offset_arr);
dim_size = block;
update_index(5, dim_size, &idx, &inp_index, offset_arr);
dim_size = block;
update_index(3, dim_size, &idx, &inp_index, offset_arr);
dim_size = size[0];
update_index(0, dim_size, &idx, &inp_index, offset_arr);
KERNEL_ASSIGN(out_data[i], req, in_data[inp_index]);
}
};
/*!
* \brief This function calculates the linear offset for each dimension of
* input tensor and stores them in an array, which is later used in
* performing space_to_depth operation
* \param i global thread id
* \param offset_arr array to be populated with offset values
* \param size array to be populated with size of each dimension of input tensor
* \param block size of chunks to be moved out of depth dimension
* \param size0 size of Dim 0 of input tensor
* \param size1 size of Dim 1 of input tensor
* \param size2 size of Dim 2 of input tensor
* \param size3 size of Dim 3 of input tensor
*/
template<int req>
struct compute_offset_for_space_to_depth {
template<typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* offset_arr, DType* size, const int block,
const index_t size0, const index_t size1,
const index_t size2, const index_t size3) {
size[0] = size0;
size[1] = size1;
size[2] = size2;
size[3] = size3;
offset_arr[5] = 1;
offset_arr[4] = offset_arr[5] * block;
offset_arr[3] = offset_arr[4] * size[3] / block;
offset_arr[2] = offset_arr[3] * block;
offset_arr[1] = offset_arr[2] * size[2] / block;
offset_arr[0] = offset_arr[1] * size[1];
}
};
template<typename xpu>
void SpaceToDepthOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), 1U);
CHECK_EQ(req.size(), 1U);
mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
const TBlob& in_data = inputs[0];
const TBlob& out_data = outputs[0];
const DepthToSpaceParam& param = nnvm::get<DepthToSpaceParam>(attrs.parsed);
using namespace mxnet_op;
int block = param.block_size;
mshadow::Tensor<xpu, 1, char> workspace =
ctx.requested[0].get_space_typed<xpu, 1, char>(mshadow::Shape1(sizeof(index_t) * 10), s);
char* workspace_curr_ptr = workspace.dptr_;
index_t* offset_arr = reinterpret_cast<index_t*>(workspace_curr_ptr);
index_t* size = reinterpret_cast<index_t*>(workspace_curr_ptr + sizeof(index_t) * 6);
MSHADOW_TYPE_SWITCH(out_data.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], req_type, {
Kernel<compute_offset_for_space_to_depth<req_type>, xpu>::Launch(
s, 1, offset_arr, size, block, in_data.shape_[0], in_data.shape_[1],
in_data.shape_[2], in_data.shape_[3]);
Kernel<space_to_depth_forward<req_type>, xpu>::Launch(
s, out_data.Size(), out_data.dptr<DType>(), in_data.dptr<DType>(),
block, size, offset_arr);
});
});
}
namespace split_enum {
enum SplitOpInputs {kData};
} // namespace split_enum
struct SplitParam : public dmlc::Parameter<SplitParam> {
mxnet::TShape indices;
int axis;
bool squeeze_axis;
int sections;
DMLC_DECLARE_PARAMETER(SplitParam) {
DMLC_DECLARE_FIELD(indices)
.describe("Indices of splits. The elements should denote the boundaries of at which split"
" is performed along the `axis`.");
DMLC_DECLARE_FIELD(axis).set_default(1)
.describe("Axis along which to split.");
DMLC_DECLARE_FIELD(squeeze_axis).set_default(0)
.describe("If true, Removes the axis with length 1 from the shapes of the output arrays."
" **Note** that setting `squeeze_axis` to ``true`` removes axis with length 1"
" only along the `axis` which it is split."
" Also `squeeze_axis` can be set to ``true``"
" only if ``input.shape[axis] == num_outputs``.");
DMLC_DECLARE_FIELD(sections).set_default(0)
.describe("Number of sections if equally splitted. Default to 0 which means split by indices.");
}
}; // struct SplitParam
inline mxnet::TShape GetSplitIndices(const mxnet::TShape& ishape, int axis, int sections) {
mxnet::TShape indices(sections+1, -1);
indices[0] = 0;
int64_t section_size_b = (int64_t) (ishape[axis] / sections);
int64_t section_size_a = section_size_b + 1;
int section_a = ishape[axis] % sections;
for (int i = 0; i < sections; ++i) {
if ( i < section_a ) {
indices[i+1] = section_size_a * (i + 1);
} else {
indices[i+1] = section_size_b + indices[i];
}
}
return indices;
}
inline bool SplitOpType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
int dtype = (*in_attrs)[0];
CHECK_NE(dtype, -1) << "First input must have specified type";
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
out_attrs->clear();
int num_outputs = (param.sections > 0) ? param.sections : param.indices.ndim();
for (int i = 0; i < num_outputs; ++i) {
out_attrs->push_back(dtype);
}
return true;
}
inline bool SplitOpShapeImpl(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector* in_attrs,
mxnet::ShapeVector* out_attrs,
const int real_axis) {
using namespace mshadow;
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
mxnet::TShape dshape = in_attrs->at(split_enum::kData);
mxnet::TShape ishape = in_attrs->at(split_enum::kData);
const mxnet::TShape indices =
(param.sections > 0) ? GetSplitIndices(ishape, real_axis, param.sections) : param.indices;
int num_outputs = (param.sections > 0) ? indices.ndim() - 1 : indices.ndim();
// Pre-compute squeezed output shape for future usage
mxnet::TShape squeezed_dshape = dshape;
for (int d = real_axis; d < squeezed_dshape.ndim() - 1; ++d) {
squeezed_dshape[d] = squeezed_dshape[d+1];
}
squeezed_dshape = mxnet::TShape(&squeezed_dshape[0], &squeezed_dshape[squeezed_dshape.ndim()-1]);
// Assign shape to every output
for (int i = 0; i < num_outputs; ++i) {
int start = indices[i];
int end = (i < num_outputs - 1) ? indices[i + 1] : ishape[real_axis];
if (ishape[real_axis] == 0U) {
end = start;
} else {
CHECK(start <= end)
<< "start " << start << " is not less than end " << end << "for subarray " << i;
CHECK(end <= ishape[real_axis])
<< "end " << end << " is no less than the size of the axis " << ishape[real_axis];
}
dshape[real_axis] = (end - start);
if (param.squeeze_axis) {
CHECK_EQ(end - start, 1U) << "expected axis size of 1 but got " << end - start;
SHAPE_ASSIGN_CHECK(*out_attrs, i, squeezed_dshape);
} else {
SHAPE_ASSIGN_CHECK(*out_attrs, i, dshape);
}
}
mxnet::TShape back_calculate_dshape = ishape;
back_calculate_dshape[real_axis] = 0;
for (int d = 0; d < real_axis; ++d) {
back_calculate_dshape[d] = (*out_attrs)[0][d];
}
if (param.squeeze_axis) {
back_calculate_dshape[real_axis] = num_outputs;
} else {
for (int i = 0; i < num_outputs; ++i) {
back_calculate_dshape[real_axis] += (*out_attrs)[i][real_axis];
}
}
for (int d = real_axis + 1; d < ishape.ndim(); ++d) {
if (param.squeeze_axis) {
back_calculate_dshape[d] = (*out_attrs)[0][d - 1];
} else {
back_calculate_dshape[d] = (*out_attrs)[0][d];
}
}
SHAPE_ASSIGN_CHECK(*in_attrs, split_enum::kData, back_calculate_dshape);
return true;
}
inline bool SplitOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector* in_attrs,
mxnet::ShapeVector* out_attrs) {
using namespace mshadow;
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), 1U);
mxnet::TShape dshape = in_attrs->at(split_enum::kData);
if (!mxnet::ndim_is_known(dshape)) return false;
if (param.axis >= 0) {
CHECK_LT(param.axis, dshape.ndim());
} else {
CHECK_LT(param.axis + dshape.ndim(), dshape.ndim());
}
int real_axis = param.axis;
if (real_axis < 0) {
real_axis += dshape.ndim();
}
return SplitOpShapeImpl(attrs, in_attrs, out_attrs, real_axis);
}
struct SplitKernel {
/*!
* \brief Map function for forward split_v2 operator
* \param i global thread id
* \param in_data ptr to input buffer
* \param out_data ptr to ptr of outputs buffer
* \param indices ptr to indices buffer
* \param num_sections # of sections after split
* \param axis_size size of axis to be splitted on
* \param trailing_size step size within the data buffer of the axis to be splitted on
*/
template<typename DType>
static MSHADOW_XINLINE void Map(size_t i,
const DType *in_data, DType** out_data, const size_t* indices,
const size_t num_sections, const size_t axis_size,
const size_t trailing_size) {
size_t idx = i / trailing_size % axis_size;
size_t target = 0;
for (size_t section = 0;
section < num_sections && indices[section] <= idx;
target = section++) {}
DType* target_data = out_data[target];
const size_t mid_idx = idx - indices[target];
const size_t head_idx = i / (trailing_size * axis_size);
const size_t tail_idx = i % trailing_size;
const size_t section_size = indices[target + 1] - indices[target];
const size_t target_idx =
head_idx * trailing_size * section_size + mid_idx * trailing_size + tail_idx;
target_data[target_idx] = in_data[i];
}
};
struct ConcatenateKernel {
/*!
* \brief Map function for backward split_v2 operator
* \param i global thread id
* \param out_grad ptr to ptr of out grads buffer
* \param in_grad ptr to input grad buffer
* \param indices ptr to indices buffer
* \param num_sections # of sections after split
* \param axis_size size of axis to be splitted on
* \param trailing_size step size within the data buffer of the axis to be splitted on
*/
template<typename DType>
static MSHADOW_XINLINE void Map(size_t i,
DType** out_grad, DType* in_grad, const size_t* indices,
const size_t num_sections, const size_t axis_size,
const size_t trailing_size) {
size_t idx = i / trailing_size % axis_size;
size_t src = 0;
for (size_t section = 0;
section < num_sections && indices[section] <= idx;
src = section++) {}
DType* src_grad = out_grad[src];
const size_t mid_idx = idx - indices[src];
const size_t head_idx = i / (trailing_size * axis_size);
const size_t tail_idx = i % trailing_size;
const size_t section_size = indices[src + 1] - indices[src];
const size_t src_idx =
head_idx * trailing_size * section_size + mid_idx * trailing_size + tail_idx;
in_grad[i] = src_grad[src_idx];
}
};
template<typename xpu>
inline void SplitOpForwardImpl(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs,
const int real_axis) {
using namespace mshadow;
using namespace mshadow::expr;
using namespace mxnet_op;
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
Stream<xpu> *s = ctx.get_stream<xpu>();
const TBlob& input_data = inputs[split_enum::kData];
size_t leading = 1, trailing = 1;
CHECK_LT(real_axis, input_data.ndim());
size_t mid = input_data.shape_[real_axis];
for (int i = 0; i < real_axis; ++i) {
leading *= input_data.shape_[i];
}
for (int i = real_axis + 1; i < input_data.ndim(); ++i) {
trailing *= input_data.shape_[i];
}
size_t workspace_size = 0;
const mxnet::TShape& ishape = input_data.shape_;
const mxnet::TShape split_pts =
(param.sections > 0) ? GetSplitIndices(ishape, real_axis, param.sections) : param.indices;
std::vector<size_t> indices;
for (const auto& section : split_pts) {
indices.push_back(section);
}
if (param.sections == 0) {
indices.push_back(ishape[real_axis]);
}
workspace_size += indices.size() * sizeof(size_t);
MSHADOW_TYPE_SWITCH(input_data.type_flag_, DType, {
std::vector<DType*> output_data;
for (const TBlob& data : outputs) {
output_data.push_back(data.dptr<DType>());
}
workspace_size += output_data.size() * sizeof(DType*);
Tensor<xpu, 1, char> workspace =
ctx.requested[0].get_space_typed<xpu, 1, char>(Shape1(workspace_size), s);
Tensor<cpu, 1, size_t> indices_cpu_tensor(indices.data(), Shape1(indices.size()));
Tensor<xpu, 1, size_t> indices_xpu_tensor(
reinterpret_cast<size_t*>(workspace.dptr_), Shape1(indices.size()));
Tensor<cpu, 1, DType*> ptrs_cpu_tensor(output_data.data(), Shape1(output_data.size()));
Tensor<xpu, 1, DType*> ptrs_xpu_tensor(
reinterpret_cast<DType**>(workspace.dptr_ + indices.size() * sizeof(size_t)),
Shape1(output_data.size()));
mshadow::Copy(indices_xpu_tensor, indices_cpu_tensor, s);
mshadow::Copy(ptrs_xpu_tensor, ptrs_cpu_tensor, s);
Kernel<SplitKernel, xpu>::Launch(
s, input_data.Size(), input_data.dptr<DType>(), ptrs_xpu_tensor.dptr_,
indices_xpu_tensor.dptr_, indices.size() - 1, mid, trailing);
});
}
template<typename xpu>
inline void SplitOpForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mshadow::expr;
using namespace mxnet_op;
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
CHECK_EQ(inputs.size(), 1U);
CHECK_EQ(outputs.size(), (param.sections > 0) ? param.sections : param.indices.ndim());
const TBlob& input_data = inputs[split_enum::kData];
int real_axis = param.axis;
if (real_axis < 0) {
real_axis += input_data.ndim();
}
SplitOpForwardImpl<xpu>(attrs, ctx, inputs, req, outputs, real_axis);
}
template<typename xpu>
inline void SplitOpBackwardImpl(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs,
const int real_axis) {
using namespace mshadow;
using namespace mshadow::expr;
using namespace mxnet_op;
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
Stream<xpu> *s = ctx.get_stream<xpu>();
TBlob input_grad = outputs[split_enum::kData];
size_t leading = 1, trailing = 1;
CHECK_LT(real_axis, input_grad.ndim());
size_t mid = input_grad.shape_[real_axis];
for (int i = 0; i < real_axis; ++i) {
leading *= input_grad.shape_[i];
}
for (int i = real_axis + 1; i < input_grad.ndim(); ++i) {
trailing *= input_grad.shape_[i];
}
size_t workspace_size = 0;
const mxnet::TShape& ishape = input_grad.shape_;
const mxnet::TShape split_pts =
(param.sections > 0) ? GetSplitIndices(ishape, real_axis, param.sections) : param.indices;
std::vector<size_t> indices;
for (const auto& section : split_pts) {
indices.push_back(section);
}
if (param.sections == 0) {
indices.push_back(ishape[real_axis]);
}
workspace_size += indices.size() * sizeof(size_t);
MSHADOW_TYPE_SWITCH(input_grad.type_flag_, DType, {
std::vector<DType*> out_grads;
for (const TBlob& output_grad : inputs) {
out_grads.push_back(output_grad.dptr<DType>());
}
workspace_size += out_grads.size() * sizeof(DType*);
Tensor<xpu, 1, char> workspace =
ctx.requested[0].get_space_typed<xpu, 1, char>(Shape1(workspace_size), s);
Tensor<cpu, 1, size_t> indices_cpu_tensor(indices.data(), Shape1(indices.size()));
Tensor<xpu, 1, size_t> indices_xpu_tensor(
reinterpret_cast<size_t*>(workspace.dptr_), Shape1(indices.size()));
Tensor<cpu, 1, DType*> ptrs_cpu_tensor(out_grads.data(), Shape1(inputs.size()));
Tensor<xpu, 1, DType*> ptrs_xpu_tensor(
reinterpret_cast<DType**>(workspace.dptr_ + indices.size() * sizeof(size_t)),
Shape1(inputs.size()));
mshadow::Copy(indices_xpu_tensor, indices_cpu_tensor, s);
mshadow::Copy(ptrs_xpu_tensor, ptrs_cpu_tensor, s);
Kernel<ConcatenateKernel, xpu>::Launch(
s, input_grad.Size(), ptrs_xpu_tensor.dptr_, input_grad.dptr<DType>(),
indices_xpu_tensor.dptr_, indices.size() - 1, mid, trailing);
});
}
template<typename xpu>
inline void SplitOpBackward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mshadow::expr;
using namespace mxnet_op;
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
CHECK_EQ(inputs.size(), (param.sections > 0) ? param.sections : param.indices.ndim())
<< "out grad vector size mush match the output size";
CHECK_EQ(outputs.size(), 1U);
int real_axis = param.axis;
if (real_axis < 0) {
real_axis += outputs[split_enum::kData].ndim();
}
SplitOpBackwardImpl<xpu>(attrs, ctx, inputs, req, outputs, real_axis);
}
inline uint32_t SplitNumOutputs(const NodeAttrs& attrs) {
const SplitParam& param = nnvm::get<SplitParam>(attrs.parsed);
return (param.sections > 0) ? param.sections : param.indices.ndim();
}
} // namespace op
} // namespace mxnet
namespace std {
template<>
struct hash<mxnet::op::TransposeParam> {
size_t operator()(const mxnet::op::TransposeParam& val) {
size_t ret = 0;
ret = dmlc::HashCombine(ret, val.axes);
return ret;
}
};
template<>
struct hash<mxnet::op::ReshapeParam> {
size_t operator()(const mxnet::op::ReshapeParam& val) {
size_t ret = 0;
ret = dmlc::HashCombine(ret, val.target_shape);
ret = dmlc::HashCombine(ret, val.keep_highest);
ret = dmlc::HashCombine(ret, val.shape);
ret = dmlc::HashCombine(ret, val.reverse);
return ret;
}
};
template<>
struct hash<mxnet::op::ExpandDimParam> {
size_t operator()(const mxnet::op::ExpandDimParam& val) {
size_t ret = 0;
ret = dmlc::HashCombine(ret, val.axis);
return ret;
}
};
} // namespace std
#endif // MXNET_OPERATOR_TENSOR_MATRIX_OP_INL_H_
|
direct_nbody_reciprocal.c | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
#include <omp.h>
#include "reciprocal_kernels.h"
void test_direct_nbody(
const int n_src, const double *src_coord, double *src_val,
const int n_trg, const double *trg_coord, double *trg_val,
kernel_matvec_fptr krnl_matvec, const int krnl_dim, int krnl_flops
)
{
int nthread = omp_get_max_threads();
double krnl_GFLOPS = (double)n_src * (double)n_trg * (double)krnl_flops;
krnl_GFLOPS /= 1000000000.0;
for (int k = 0; k < 5; k++)
{
memset(trg_val, 0, sizeof(double) * n_trg * krnl_dim);
double st = omp_get_wtime();
#pragma omp parallel
{
int tid = omp_get_thread_num();
int trg_sidx = tid * n_trg / nthread;
int trg_eidx = (tid + 1) * n_trg / nthread;
int n_trg_thread = trg_eidx - trg_sidx;
krnl_matvec(
trg_coord + trg_sidx, n_trg, n_trg_thread,
src_coord, n_src, n_src,
src_val, trg_val + trg_sidx * krnl_dim
);
}
double et = omp_get_wtime();
double ut = et - st;
printf("Direct N-Body %2d: %.3lf s, %.2lf GFLOPS\n", k, ut, krnl_GFLOPS / ut);
}
}
int main(int argc, char **argv)
{
int n_src = 0, n_trg = 0;
if (argc >= 2) n_src = atoi(argv[1]);
if (argc >= 3) n_trg = atoi(argv[2]);
if (n_src == 0)
{
printf("n_src = ");
scanf("%d", &n_src);
}
if (n_trg == 0)
{
printf("n_trg = ");
scanf("%d", &n_trg);
}
int krnl_dim = 1;
double *src_coord = (double*) malloc(sizeof(double) * n_src * 3);
double *trg_coord = (double*) malloc(sizeof(double) * n_trg * 3);
double *src_val = (double*) malloc(sizeof(double) * n_src * krnl_dim);
double *trg_val0 = (double*) malloc(sizeof(double) * n_trg * krnl_dim);
double *trg_val1 = (double*) malloc(sizeof(double) * n_trg * krnl_dim);
srand48(time(NULL));
for (int i = 0; i < n_src; i++)
{
src_coord[i + n_src * 0] = drand48();
src_coord[i + n_src * 1] = drand48();
src_coord[i + n_src * 2] = drand48();
}
for (int i = 0; i < n_src * krnl_dim; i++) src_val[i] = drand48();
for (int i = 0; i < n_trg; i++)
{
trg_coord[i + n_trg * 0] = drand48();
trg_coord[i + n_trg * 1] = drand48();
trg_coord[i + n_trg * 2] = drand48();
trg_val0[i] = 0.0;
trg_val1[i] = 0.0;
}
printf("Standard kernel:\n");
kernel_matvec_fptr ref_matvec = reciprocal_matvec_std;
test_direct_nbody(
n_src, src_coord, src_val,
n_trg, trg_coord, trg_val0,
ref_matvec, krnl_dim, 10
);
printf("Intrinsic kernel:\n");
kernel_matvec_fptr avx_matvec = reciprocal_matvec_intrin;
test_direct_nbody(
n_src, src_coord, src_val,
n_trg, trg_coord, trg_val1,
avx_matvec, krnl_dim, 10
);
double ref_l2 = 0.0, err_l2 = 0.0;
for (int i = 0; i < n_trg * krnl_dim; i++)
{
double diff = trg_val0[i] - trg_val1[i];
ref_l2 += trg_val0[i] * trg_val0[i];
err_l2 += diff * diff;
}
ref_l2 = sqrt(ref_l2);
err_l2 = sqrt(err_l2);
printf("Intrinsic kernel result relative L2 error = %e\n", err_l2 / ref_l2);
free(src_coord);
free(trg_coord);
free(src_val);
free(trg_val0);
free(trg_val1);
return 0;
} |
energetics.h | #pragma once
#include <complex>
#include <cassert>
#include "toefl/toefl.h"
#include "blueprint.h"
#include "equations.h"
namespace toefl{
///@addtogroup solvers
///@{
/**
* @brief Blas1 function
*
* computes \f[ y = \alpha x + \beta y \f]
* @param alpha a scalar
* @param x Matrix
* @param beta a scalar
* @param y Matrix (read & write) containing result on output
*/
void axpby(double alpha, const Matrix<double, TL_DFT>& x, double beta, Matrix<double, TL_DFT>& y)
{
for( unsigned i=0; i<x.rows(); i++)
for( unsigned j=0; j<x.cols(); j++)
y(i,j) = alpha*x(i,j)+beta*y(i,j);
}
/**
* @brief Blas1 dot product
*
* Computes \f[\sum_{ij} m_{1ij}m_{2ij}\f]
* @param m1
* @param m2
*
* @return Dot product
*/
double dot( const Matrix<double, TL_DFT>& m1, const Matrix<double, TL_DFT>& m2)
{
double sum = 0;
#pragma omp parallel for reduction(+: sum)
for( unsigned i=0; i<m1.rows(); i++)
for( unsigned j=0; j<m1.cols(); j++)
sum+= m1(i,j)*m2(i,j);
return sum;
}
/**
* @brief Compute dot product
*
* Computes \f[\sum_{i} v_{1i}v^*_{2i}\f]
* where * is the complex conjugate
*
* @param v1
* @param v2
*
* @return
*/
double dot( const std::vector<std::complex<double> >& v1, const std::vector<std::complex<double> >& v2)
{
assert( v1.size() == v2.size());
unsigned cols = v1.size();
std::complex<double> sum=0;
sum += v1[0]*conj( v2[0]);
for( unsigned j=1; j<cols/2; j++)
sum += 2.*v1[j]*conj( v2[j]);
if( cols%2)
sum += v1[cols/2]*conj(v2[cols/2]);
else
sum += 2.*v1[cols/2]*conj( v2[cols/2]);
//if( imag(sum) > 1e-12) std::cerr<<sum << "WARNING: Imag not zero!\n";
return real( sum);
}
/**
* @brief Compute dot product
*
* Computes \f[\sum_{i} v_{1i}v^_{2i}\f]
*
* @param v1 real vector
* @param v2 real vector
*
* @return dot product
*/
double dot( const std::vector<double>& v1, const std::vector<double>& v2)
{
assert( v1.size() == v2.size());
double sum=0;
for( unsigned i=0; i<v1.size(); i++)
sum += v1[i]*v2[i];
return sum;
}
std::vector<std::complex<double> > extract_sum_y( const Matrix<std::complex<double> >& in)
{
std::vector<std::complex<double> > out( in.cols());
for( unsigned j=0; j<in.cols(); j++)
out[j] = in(0,j);
return out;
}
std::vector<double> extract_sum_y( const Matrix<double, TL_DFT>& in)
{
std::vector<double> out( in.cols(), 0);
for( unsigned i=0; i<in.rows(); i++)
for( unsigned j=0; j<in.cols(); j++)
out[j] += in(i,j);
return out;
}
//remove the real average in y-direction
void remove_average_y( const Matrix<double, TL_DFT>& in, Matrix<double, TL_DFT>& m)
{
m = in;
std::vector<double> average = extract_sum_y( in);
#pragma omp parallel for
for( unsigned i=0; i<in.rows(); i++)
for( unsigned j=0; j<in.cols(); j++)
m(i,j) -= average[j]/in.rows();
}
/**
* @brief Compute y derivative using spectral method
*
* @param in
* @param out
* @param h grid constant
*/
void dy( const Matrix<double, TL_DFT>& in, Matrix<double, TL_DFT>& out, double h)
{
assert( &in != &out);
unsigned rows = in.rows();
for( unsigned j=0; j<in.cols(); j++)
out(0,j) = (in(1,j) - in(rows-1, j))/2./h;
#pragma omp parallel for
for( unsigned i=1; i<in.rows()-1; i++)
{
for( unsigned j=0; j<in.cols(); j++)
out(i,j) = (in(i+1,j) - in(i-1, j))/2./h;
}
for( unsigned j=0; j<in.cols(); j++)
out(rows-1,j) = (in(0,j) - in(rows-2, j))/2./h;
}
/**
* @brief Compute Energetics of INNTO code
*
* @tparam n the number of equations
*/
template<size_t n>
struct Energetics
{
typedef Matrix<double, TL_DFT> Matrix_Type;
typedef std::complex<double> complex;
Energetics( const Blueprint& bp):
rows( bp.algorithmic().ny ), cols( bp.algorithmic().nx ),
crows( rows), ccols( cols/2+1),
diff_coeff( rows, cols),
a_mu_gamma0_coeff( MatrixArray< double, TL_NONE, n-1>::construct( crows, ccols)),
dens_( MatrixArray<double, TL_DFT,n>::construct( rows, cols)),
phi_( dens_),
cdens_( MatrixArray<complex, TL_NONE, n>::construct( crows, ccols)),
cphi_(cdens_),
blue(bp), phys( bp.physical()), bound( bp.boundary()), alg( bp.algorithmic()),
dft_dft( rows, cols, FFTW_MEASURE),
a_{-1. , phys.a[0], phys.a[1]}, tau_{-1. , phys.tau[0], phys.tau[1]},
g_{phys.g_e, phys.g[0], phys.g[1]}
{
double laplace;
Poisson p( phys);
int ik;
const double kxmin2 = 2.*2.*M_PI*M_PI/(double)(bound.lx*bound.lx),
kymin2 = 2.*2.*M_PI*M_PI/(double)(bound.ly*bound.ly);
for( unsigned i = 0; i<crows; i++)
for( unsigned j = 0; j<ccols; j++)
{
ik = (i>rows/2) ? (i-rows) : i; //integer division rounded down
laplace = - kxmin2*(double)(j*j) - kymin2*(double)(ik*ik);
diff_coeff(i,j) = -phys.nu*pow(-laplace,2);
if( n==2)
{
a_mu_gamma0_coeff[0](i,j) = -phys.a[0]*phys.mu[0]*laplace*p.gamma0_i( laplace);
}
else if( n==3)
{
a_mu_gamma0_coeff[0](i,j) = -phys.a[0]*phys.mu[0]*laplace*p.gamma0_i( laplace);
a_mu_gamma0_coeff[1](i,j) = -phys.a[1]*phys.mu[1]*laplace*p.gamma0_z( laplace);
}
}
}
std::vector<double> thermal_energies(const std::array<Matrix<double, TL_DFT>, n>& dens_ );
std::vector<double> exb_energies(const Matrix<double, TL_DFT>& phi_ );
std::vector<double> diffusion( const std::array<Matrix<double, TL_DFT>, n>& density , const std::array<Matrix<double, TL_DFT>, n>& potential);
std::vector<double> gradient_flux( const std::array<Matrix<double, TL_DFT>, n>& density , const std::array<Matrix<double, TL_DFT>, n>& potential);
double capital_jot( const Matrix<double, TL_DFT>& density , const Matrix<double, TL_DFT>& potential);
double capital_a( const Matrix<double, TL_DFT>& density , const Matrix<double, TL_DFT>& potential);
private:
unsigned rows, cols;
unsigned crows, ccols;
Matrix<double, TL_DFT> diff_coeff;
std::array< Matrix< double>, n-1> a_mu_gamma0_coeff;
std::array< Matrix<double, TL_DFT>, n > dens_, phi_;
std::array< Matrix< complex>, n> cdens_, cphi_;
Blueprint blue;
Physical phys;
Boundary bound;
Algorithmic alg;
DFT_DFT dft_dft;
double a_[3];
double tau_[3];
double g_[3];
};
///////////////////////////////////////////////////////
///@cond
template<size_t n>
std::vector<double> Energetics<n>::thermal_energies(const std::array<Matrix<double, TL_DFT>, n>& density )
{
std::vector<double> energies(n);
for( unsigned i=0; i<n; i++)
energies[i] = 0.5*a_[i]*tau_[i]*dot( density[i], density[i])*alg.h*alg.h;
return energies;
}
template<size_t n>
std::vector<double> Energetics<n>::exb_energies(const Matrix<double, TL_DFT>& potential )
{
std::vector<double> energies;
double norm = alg.h*alg.h/(double)(rows*cols); //h^2 from integration and 1/NxNy from complex scalar product
phi_[0] = potential;
dft_dft.r2c( phi_[0], cphi_[0]);
for( size_t k=1; k<n; k++)
{
#pragma omp parallel for
for( size_t i = 0; i < crows; i++)
for( size_t j = 0; j < ccols; j++)
cphi_[k](i,j) = (a_mu_gamma0_coeff[k-1](i,j))*cphi_[0](i,j);
energies.push_back( 0.5*dft_dft.dot( cphi_[0], cphi_[k])*norm);
}
//averages
double norm_avg = alg.h*alg.h/(double)(rows)/(double)cols; //h*h from integration 1/Ny from average and 1/Nx from complex scalar product
std::vector<complex> sum_phi[n];
for( unsigned i=0; i<n; i++)
sum_phi[i] = extract_sum_y( cphi_[i]);
for( size_t k=1; k<n; k++)
energies.push_back( 0.5*dot( sum_phi[0], sum_phi[k])*norm_avg);
return energies;
}
template<size_t n>
double Energetics<n>::capital_jot( const Matrix<double, TL_DFT>& density , const Matrix<double, TL_DFT>& potential)
{
#pragma omp parallel for
for( unsigned i=0; i<rows; i++)
for( unsigned j=0; j<cols; j++)
dens_[0](i,j) = potential(i,j) - density(i,j);
if( blue.isEnabled( TL_MHW) )
remove_average_y( dens_[0], dens_[1]);
return -phys.d*dot( dens_[0], dens_[1])*alg.h*alg.h;
}
template<size_t n>
double Energetics<n>::capital_a( const Matrix<double, TL_DFT>& density , const Matrix<double, TL_DFT>& potential)
{
std::vector<double> sum_dens = extract_sum_y( density);
std::vector<double> sum_phi = extract_sum_y( potential);
double a = dot( sum_phi, sum_phi) - dot(sum_dens, sum_phi);
return -phys.d*a/(double)(rows)*alg.h*alg.h;
}
/////////////////////////////////////////////////////////////////////
template<size_t n>
std::vector<double> Energetics<n>::gradient_flux( const std::array<Matrix<double, TL_DFT>, n>& density , const std::array<Matrix<double, TL_DFT>, n>& potential)
{
std::vector<double> flux;
for( unsigned i=0; i<n; i++)
{
dy( potential[i], dens_[i], alg.h); //dens_ = dy phi_
flux.push_back( g_[i]*a_[i]*tau_[i]*dot( density[i], dens_[i])*alg.h*alg.h);
}
//zonal flow R
double r=0;
for( unsigned k=0; k<n; k++)
{
#pragma omp parallel for
for( unsigned i=0; i<rows;i++)
for( unsigned j=0; j<cols;j++)
dens_[k](i,j) *= density[k](i,j); //dy phi *density
std::vector<double> sum = extract_sum_y( dens_[k]);
//compute dx sum
std::vector<double> vy(sum);
vy[0] = (sum[1]-sum[cols-1])/2./alg.h;
for( unsigned i=1; i<cols-1; i++)
vy[i] = (sum[i+1]-sum[i-1])/2./alg.h;
vy[cols-1] = (sum[0]-sum[cols-2])/2./alg.h;
std::vector<double> sum_phi = extract_sum_y( potential[k]);
r+= a_[k]*dot( vy, sum_phi)*alg.h*alg.h/(double)(rows);
}
flux.push_back(r);
flux.push_back(0);
/*
phi_[0] = potential[0];
dft_dft.r2c( phi_[0], cphi_[0]);
for( size_t k=1; k<n; k++)
{
#pragma omp parallel for
for( size_t i = 0; i < crows; i++)
for( size_t j = 0; j < ccols; j++)
cphi_[k](i,j) = (-a_mu_gamma0_coeff[k-1](i,j))*cphi_[0](i,j)/(double)(rows*cols);
dft_dft.c2r( cphi_[k], phi_[k]);
#pragma omp parallel for
for( unsigned i=0; i<rows;i++)
for( unsigned j=0; j<cols;j++)
dens_[k](i,j) = dens_[0](i,j)*phi_[k](i,j); //dy phi * a/tau*(1-\Gamma_0)phi
std::vector<double> sum = extract_sum_y( dens_[k]);
std::vector<double> sum_phi = extract_sum_y( potential[k]);
//compute dx sum
std::vector<double> vy(sum);
vy[0] = (sum[1]-sum[cols-1])/2./alg.h;
for( unsigned i=1; i<cols-1; i++)
vy[i] = (sum[i+1]-sum[i-1])/2./alg.h;
vy[cols-1] = (sum[0]-sum[cols-2])/2./alg.h;
flux.push_back( dot( vy, sum_phi)*alg.h*alg.h/(double)(rows));
}
*/
return flux;
}
template<size_t n>
std::vector<double> Energetics<n>::diffusion( const std::array<Matrix<double, TL_DFT>, n>& density , const std::array<Matrix<double, TL_DFT>, n>& potential)
{
//compute -nu*laplace^2 density in dens_
dens_ = density;
#pragma omp parallel for
for( unsigned k=0; k<n; k++)
{
dft_dft.r2c( dens_[k], cdens_[k]);
for( size_t i = 0; i < crows; i++)
for( size_t j = 0; j < ccols; j++)
cdens_[k](i,j) = diff_coeff(i,j)*cdens_[k](i,j)/(double)(rows*cols);
dft_dft.c2r( cdens_[k], dens_[k]);
}
//add up diffusion
std::vector<double> diffusion_(2, 0.);
for( unsigned i=0; i<n; i++)
{
diffusion_[0] += a_[i]*dot( potential[i], dens_[i])*alg.h*alg.h;
diffusion_[0] += a_[i]*tau_[i]*dot( density[i], dens_[i])*alg.h*alg.h;
}
//compute mean diffusion
for(unsigned k=0; k<n; k++)
{
std::vector<double> sum_dens = extract_sum_y( dens_[k] );
std::vector<double> sum_phi = extract_sum_y( potential[k] );
diffusion_[1] += a_[k]*dot( sum_dens, sum_phi)*alg.h*alg.h/(double)(rows);
}
return diffusion_;
}
///@endcond
///@}
} //namespace toefl
|
Gemm_MT_Loop3_MRxNRKernel_simple.c | #include <stdio.h>
#include <stdlib.h>
#include<immintrin.h>
#include "omp.h"
#define alpha( i,j ) A[ (j)*ldA + (i) ] // map alpha( i,j ) to array A
#define beta( i,j ) B[ (j)*ldB + (i) ] // map beta( i,j ) to array B
#define gamma( i,j ) C[ (j)*ldC + (i) ] // map gamma( i,j ) to array C
#define min( x, y ) ( ( x ) < ( y ) ? x : y )
void LoopFive( int, int, int, double *, int, double *, int, double *, int );
void LoopFour( int, int, int, double *, int, double *, int, double *, int );
void LoopThree( int, int, int, double *, int, double *, double *, int );
void LoopTwo( int, int, int, double *, double *, double *, int );
void LoopOne( int, int, int, double *, double *, double *, int );
void Gemm_MRxNRKernel_Packed( int, double *, double *, double *, int );
void PackBlockA_MCxKC( int, int, double *, int, double * );
void PackPanelB_KCxNC( int, int, double *, int, double * );
void MyGemm( int m, int n, int k, double *A, int ldA,
double *B, int ldB, double *C, int ldC )
{
if ( m % MR != 0 || MC % MR != 0 ){
printf( "m and MC must be multiples of MR\n" );
exit( 0 );
}
if ( n % NR != 0 || NC % NR != 0 ){
printf( "n and NC must be multiples of NR\n" );
exit( 0 );
}
LoopFive( m, n, k, A, ldA, B, ldB, C, ldC );
}
void LoopFive( int m, int n, int k, double *A, int ldA,
double *B, int ldB, double *C, int ldC )
{
for ( int j=0; j<n; j+=NC ) {
int jb = min( NC, n-j ); /* Last loop may not involve a full block */
LoopFour( m, jb, k, A, ldA, &beta( 0,j ), ldB, &gamma( 0,j ), ldC );
}
}
void LoopFour( int m, int n, int k, double *A, int ldA, double *B, int ldB,
double *C, int ldC )
{
double *Btilde = ( double * ) _mm_malloc( KC * NC * sizeof( double ), 64 );
for ( int p=0; p<k; p+=KC ) {
int pb = min( KC, k-p ); /* Last loop may not involve a full block */
PackPanelB_KCxNC( pb, n, &beta( p, 0 ), ldB, Btilde );
LoopThree( m, n, pb, &alpha( 0, p ), ldA, Btilde, C, ldC );
}
_mm_free( Btilde);
}
void LoopThree( int m, int n, int k, double *A, int ldA, double *Btilde, double *C, int ldC )
{
double *Atilde = ( double * ) _mm_malloc( MC * KC * omp_get_max_threads() * sizeof( double ), 64 );
#pragma omp parallel for
for ( int i=0; i<m; i+=MC ) {
int ib = min( MC, m-i ); /* Last loop may not involve a full block */
PackBlockA_MCxKC( ib, k, &alpha( i, 0 ), ldA, Ã[ MC * KC * omp_get_thread_num() ] );
LoopTwo( ib, n, k, Ã[ MC * KC * omp_get_thread_num() ], Btilde, &gamma( i,0 ), ldC );
}
_mm_free( Atilde);
}
void LoopTwo( int m, int n, int k, double *Atilde, double *Btilde, double *C, int ldC )
{
for ( int j=0; j<n; j+=NR ) {
int jb = min( NR, n-j );
LoopOne( m, jb, k, Atilde, &Btilde[ j*k ], &gamma( 0,j ), ldC );
}
}
void LoopOne( int m, int n, int k, double *Atilde, double *MicroPanelB, double *C, int ldC )
{
for ( int i=0; i<m; i+=MR ) {
int ib = min( MR, m-i );
Gemm_MRxNRKernel_Packed( k, Ã[ i*k ], MicroPanelB, &gamma( i,0 ), ldC );
}
}
|
GB_unop__one_int32_int32.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__one_int32_int32)
// op(A') function: GB (_unop_tran__one_int32_int32)
// C type: int32_t
// A type: int32_t
// cast: ;
// unaryop: cij = 1
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
;
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = 1 ;
// casting
#define GB_CAST(z, aij) \
; ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
; ; \
/* Cx [pC] = op (cast (aij)) */ \
; ; \
Cx [pC] = 1 ; \
}
// 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_ONE || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__one_int32_int32)
(
int32_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 ;
// 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 (int32_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
; ;
; ;
Cx [p] = 1 ;
}
#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 ;
; ;
; ;
Cx [p] = 1 ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__one_int32_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
|
nmt_covar_flat.c | #include "utils.h"
static fcomplex *product_and_transform(nmt_flatsky_info *fs,flouble *m1,flouble *m2)
{
flouble *m12=dftw_malloc(fs->npix*sizeof(flouble));
fs_map_product(fs,m1,m2,m12);
fcomplex *cm12=dftw_malloc(fs->ny*(fs->nx/2+1)*sizeof(fcomplex));
fs_map2alm(fs,1,0,&m12,&cm12);
dftw_free(m12);
return cm12;
}
static nmt_binning_scheme_flat *nmt_bins_copy(nmt_binning_scheme_flat *b_or)
{
nmt_binning_scheme_flat *b=my_malloc(sizeof(nmt_binning_scheme_flat));
b->n_bands=b_or->n_bands;
b->ell_0_list=my_malloc(b->n_bands*sizeof(flouble));
memcpy(b->ell_0_list,b_or->ell_0_list,b->n_bands*sizeof(flouble));
b->ell_f_list=my_malloc(b->n_bands*sizeof(flouble));
memcpy(b->ell_f_list,b_or->ell_f_list,b->n_bands*sizeof(flouble));
return b;
}
nmt_covar_workspace_flat *nmt_covar_workspace_flat_init(nmt_workspace_flat *wa,nmt_workspace_flat *wb)
{
int ii;
if((wa->fs->nx!=wb->fs->nx) || (wa->fs->ny!=wb->fs->ny))
report_error(NMT_ERROR_COVAR,"Can't compute covariance for fields with different resolutions\n");
nmt_flatsky_info *fs=wa->fs;
if((wa->ncls!=1) || (wb->ncls!=1))
report_error(NMT_ERROR_COVAR,"Gaussian covariance only implemented for spin-0 fields\n");
if(wa->bin->n_bands!=wb->bin->n_bands)
report_error(NMT_ERROR_COVAR,"Can't compute covariance for different binning schemes\n");
nmt_covar_workspace_flat *cw=my_malloc(sizeof(nmt_covar_workspace_flat));
cw->ncls_a=wa->ncls;
cw->ncls_b=wb->ncls;
cw->bin=nmt_bins_copy(wa->bin);
cw->xi_1122=my_malloc(cw->ncls_a*cw->bin->n_bands*sizeof(flouble *));
cw->xi_1221=my_malloc(cw->ncls_a*cw->bin->n_bands*sizeof(flouble *));
for(ii=0;ii<cw->ncls_a*cw->bin->n_bands;ii++) {
cw->xi_1122[ii]=my_calloc(cw->ncls_b*cw->bin->n_bands,sizeof(flouble));
cw->xi_1221[ii]=my_calloc(cw->ncls_b*cw->bin->n_bands,sizeof(flouble));
}
cw->coupling_binned_a=gsl_matrix_alloc(cw->ncls_a*cw->bin->n_bands,cw->ncls_a*cw->bin->n_bands);
gsl_matrix_memcpy(cw->coupling_binned_a,wa->coupling_matrix_binned_gsl);
cw->coupling_binned_b=gsl_matrix_alloc(cw->ncls_b*cw->bin->n_bands,cw->ncls_b*cw->bin->n_bands);
gsl_matrix_memcpy(cw->coupling_binned_b,wb->coupling_matrix_binned_gsl);
cw->coupling_binned_perm_a=gsl_permutation_alloc(cw->ncls_a*cw->bin->n_bands);
gsl_permutation_memcpy(cw->coupling_binned_perm_a,wa->coupling_matrix_perm);
cw->coupling_binned_perm_b=gsl_permutation_alloc(cw->ncls_b*cw->bin->n_bands);
gsl_permutation_memcpy(cw->coupling_binned_perm_b,wb->coupling_matrix_perm);
//Multiply masks and Fourier-transform
fcomplex *cm_a1b1=product_and_transform(fs,wa->mask1,wb->mask1);
fcomplex *cm_a1b2=product_and_transform(fs,wa->mask1,wb->mask2);
fcomplex *cm_a2b1=product_and_transform(fs,wa->mask2,wb->mask1);
fcomplex *cm_a2b2=product_and_transform(fs,wa->mask2,wb->mask2);
//Compute squared-mask power spectra
int *i_band,*i_band_nocut;
flouble *cl_mask_1122=my_malloc(fs->npix*sizeof(double));
flouble *cl_mask_1221=my_malloc(fs->npix*sizeof(double));
i_band=my_malloc(fs->npix*sizeof(int));
i_band_nocut=my_malloc(fs->npix*sizeof(int));
#pragma omp parallel default(none) \
shared(cw,fs,cm_a1b1,cm_a1b2,cm_a2b1,cm_a2b2) \
shared(i_band_nocut,i_band,cl_mask_1122,cl_mask_1221)
{
flouble dkx=2*M_PI/fs->lx;
flouble dky=2*M_PI/fs->ly;
int iy1,ix1;
#pragma omp for
for(iy1=0;iy1<fs->ny;iy1++) {
flouble ky;
int ik=0;
if(2*iy1<=fs->ny)
ky=iy1*dky;
else
ky=-(fs->ny-iy1)*dky;
for(ix1=0;ix1<fs->nx;ix1++) {
flouble kx,kmod;
int ix_here,index_here,index;
index=ix1+fs->nx*iy1;
if(2*ix1<=fs->nx) {
kx=ix1*dkx;
ix_here=ix1;
}
else {
kx=-(fs->nx-ix1)*dkx;
ix_here=fs->nx-ix1;
}
index_here=ix_here+(fs->nx/2+1)*iy1;
cl_mask_1122[index]=(creal(cm_a1b1[index_here])*creal(cm_a2b2[index_here])+
cimag(cm_a1b1[index_here])*cimag(cm_a2b2[index_here]));
cl_mask_1221[index]=(creal(cm_a1b2[index_here])*creal(cm_a2b1[index_here])+
cimag(cm_a1b2[index_here])*cimag(cm_a2b1[index_here]));
kmod=sqrt(kx*kx+ky*ky);
ik=nmt_bins_flat_search_fast(cw->bin,kmod,ik);
if(ik>=0)
i_band[index]=ik;
else
i_band[index]=-1;
i_band_nocut[index]=ik;
}
} //end omp for
} //end omp parallel
dftw_free(cm_a1b1);
dftw_free(cm_a1b2);
dftw_free(cm_a2b1);
dftw_free(cm_a2b2);
//Compute Xis
#pragma omp parallel default(none) \
shared(fs,i_band,cw,cl_mask_1122,cl_mask_1221)
{
int iy1,ix1,ix2,iy2;
flouble **xi_1122=my_malloc(cw->bin->n_bands*cw->ncls_a*sizeof(flouble *));
flouble **xi_1221=my_malloc(cw->bin->n_bands*cw->ncls_a*sizeof(flouble *));
for(iy1=0;iy1<cw->bin->n_bands*cw->ncls_a;iy1++) {
xi_1122[iy1]=my_calloc(cw->bin->n_bands*cw->ncls_a,sizeof(flouble));
xi_1221[iy1]=my_calloc(cw->bin->n_bands*cw->ncls_a,sizeof(flouble));
}
#pragma omp for
for(iy1=0;iy1<fs->ny;iy1++) {
for(ix1=0;ix1<fs->nx;ix1++) {
int index1=ix1+fs->nx*iy1;
int ik1=i_band[index1];
if(ik1>=0) {
for(iy2=0;iy2<fs->ny;iy2++) {
for(ix2=0;ix2<fs->nx;ix2++) {
int index,index2=ix2+fs->nx*iy2;
int ik2=i_band[index2];
int iy=iy1-iy2;
int ix=ix1-ix2;
if(iy<0) iy+=fs->ny;
if(ix<0) ix+=fs->nx;
index=ix+fs->nx*iy;
if(ik2>=0) {
xi_1122[ik1+0][ik2+0]+=cl_mask_1122[index];
xi_1221[ik1+0][ik2+0]+=cl_mask_1221[index];
}
}
}
}
}
} //end omp for
#pragma omp critical
{
for(iy1=0;iy1<cw->ncls_a*cw->bin->n_bands;iy1++) {
for(iy2=0;iy2<cw->ncls_b*cw->bin->n_bands;iy2++) {
cw->xi_1122[iy1][iy2]+=xi_1122[iy1][iy2];
cw->xi_1221[iy1][iy2]+=xi_1221[iy1][iy2];
}
}
} //end omp critical
for(iy1=0;iy1<cw->ncls_a*cw->bin->n_bands;iy1++) {
free(xi_1122[iy1]);
free(xi_1221[iy1]);
}
free(xi_1122);
free(xi_1221);
} //end omp parallel
#pragma omp parallel default(none) \
shared(fs,cw,wa,wb)
{
int ib1;
flouble fac_norm=4*M_PI*M_PI/(fs->lx*fs->lx*fs->ly*fs->ly);
#pragma omp for
for(ib1=0;ib1<cw->bin->n_bands;ib1++) {
int icl1;
for(icl1=0;icl1<cw->ncls_a;icl1++) {
int ib2;
int ind1=cw->ncls_a*ib1+icl1;
for(ib2=0;ib2<cw->bin->n_bands;ib2++) {
int icl2;
for(icl2=0;icl2<cw->ncls_b;icl2++) {
int ind2=cw->ncls_b*ib2+icl2;
flouble norm;
if(wa->n_cells[ib1]*wb->n_cells[ib2]>0)
norm=fac_norm/(wa->n_cells[ib1]*wb->n_cells[ib2]);
else
norm=0;
cw->xi_1122[ind1][ind2]*=norm;
cw->xi_1221[ind1][ind2]*=norm;
}
}
}
} //end omp for
} //end omp parallel
free(i_band);
free(i_band_nocut);
free(cl_mask_1122);
free(cl_mask_1221);
return cw;
}
void nmt_covar_workspace_flat_free(nmt_covar_workspace_flat *cw)
{
int ii;
gsl_permutation_free(cw->coupling_binned_perm_b);
gsl_permutation_free(cw->coupling_binned_perm_a);
gsl_matrix_free(cw->coupling_binned_b);
gsl_matrix_free(cw->coupling_binned_a);
for(ii=0;ii<cw->ncls_a*cw->bin->n_bands;ii++) {
free(cw->xi_1122[ii]);
free(cw->xi_1221[ii]);
}
free(cw->xi_1122);
free(cw->xi_1221);
nmt_bins_flat_free(cw->bin);
free(cw);
}
void nmt_compute_gaussian_covariance_flat(nmt_covar_workspace_flat *cw,
int nl,flouble *larr,flouble *cla1b1,flouble *cla1b2,
flouble *cla2b1,flouble *cla2b2,flouble *covar_out)
{
//Compute binned spectra
flouble *cbla1b1=my_malloc(cw->bin->n_bands*sizeof(flouble));
flouble *cbla1b2=my_malloc(cw->bin->n_bands*sizeof(flouble));
flouble *cbla2b1=my_malloc(cw->bin->n_bands*sizeof(flouble));
flouble *cbla2b2=my_malloc(cw->bin->n_bands*sizeof(flouble));
nmt_bin_cls_flat(cw->bin,nl,larr,&cla1b1,&cbla1b1,1);
nmt_bin_cls_flat(cw->bin,nl,larr,&cla1b2,&cbla1b2,1);
nmt_bin_cls_flat(cw->bin,nl,larr,&cla2b1,&cbla2b1,1);
nmt_bin_cls_flat(cw->bin,nl,larr,&cla2b2,&cbla2b2,1);
//Convolve with Xi
gsl_matrix *covar_binned=gsl_matrix_alloc(cw->ncls_a*cw->bin->n_bands,cw->ncls_b*cw->bin->n_bands);
int iba;
for(iba=0;iba<cw->bin->n_bands;iba++) {
int icl_a;
for(icl_a=0;icl_a<cw->ncls_a;icl_a++) {
int index_a=cw->ncls_a*iba+icl_a;
int icl_b;
for(icl_b=0;icl_b<cw->ncls_b;icl_b++) {
int ibb;
for(ibb=0;ibb<cw->bin->n_bands;ibb++) {
int index_b=cw->ncls_b*ibb+icl_b;
double xi_1122=cw->xi_1122[index_a][index_b];
double xi_1221=cw->xi_1221[index_a][index_b];
double fac_1122=0.5*(cbla1b1[index_a]*cbla2b2[index_b]+cbla1b1[index_b]*cbla2b2[index_a]);
double fac_1221=0.5*(cbla1b2[index_a]*cbla2b1[index_b]+cbla1b2[index_b]*cbla2b1[index_a]);
gsl_matrix_set(covar_binned,index_a,index_b,xi_1122*fac_1122+xi_1221*fac_1221);
}
}
}
}
//Sandwich with
gsl_matrix *covar_out_g =gsl_matrix_alloc(cw->ncls_a*cw->bin->n_bands,cw->ncls_b*cw->bin->n_bands);
gsl_matrix *mat_tmp =gsl_matrix_alloc(cw->ncls_a*cw->bin->n_bands,cw->ncls_b*cw->bin->n_bands);
gsl_matrix *inverse_a =gsl_matrix_alloc(cw->ncls_a*cw->bin->n_bands,cw->ncls_a*cw->bin->n_bands);
gsl_matrix *inverse_b =gsl_matrix_alloc(cw->ncls_b*cw->bin->n_bands,cw->ncls_b*cw->bin->n_bands);
gsl_linalg_LU_invert(cw->coupling_binned_b,cw->coupling_binned_perm_b,inverse_b); //M_b^-1
gsl_linalg_LU_invert(cw->coupling_binned_a,cw->coupling_binned_perm_a,inverse_a); //M_a^-1
gsl_blas_dgemm(CblasNoTrans,CblasTrans ,1,covar_binned,inverse_b,0,mat_tmp ); //tmp = C * M_b^-1^T
gsl_blas_dgemm(CblasNoTrans,CblasNoTrans,1,inverse_a ,mat_tmp ,0,covar_out_g); //C' = M_a^-1 * C * M_b^-1^T
//Flatten
int ii;
long elem=0;
for(ii=0;ii<cw->ncls_a*cw->bin->n_bands;ii++) {
int jj;
for(jj=0;jj<cw->ncls_b*cw->bin->n_bands;jj++) {
covar_out[elem]=gsl_matrix_get(covar_out_g,ii,jj);
elem++;
}
}
free(cbla1b1);
free(cbla1b2);
free(cbla2b1);
free(cbla2b2);
gsl_matrix_free(mat_tmp);
gsl_matrix_free(inverse_a);
gsl_matrix_free(inverse_b);
gsl_matrix_free(covar_out_g);
gsl_matrix_free(covar_binned);
}
void nmt_covar_workspace_flat_write(nmt_covar_workspace_flat *cw,char *fname)
{
int ii;
FILE *fo=my_fopen(fname,"wb");
my_fwrite(&(cw->ncls_a),sizeof(int),1,fo);
my_fwrite(&(cw->ncls_b),sizeof(int),1,fo);
my_fwrite(&(cw->bin->n_bands),sizeof(int),1,fo);
my_fwrite(cw->bin->ell_0_list,sizeof(flouble),cw->bin->n_bands,fo);
my_fwrite(cw->bin->ell_f_list,sizeof(flouble),cw->bin->n_bands,fo);
for(ii=0;ii<cw->ncls_a*cw->bin->n_bands;ii++)
my_fwrite(cw->xi_1122[ii],sizeof(flouble),cw->ncls_b*cw->bin->n_bands,fo);
for(ii=0;ii<cw->ncls_a*cw->bin->n_bands;ii++)
my_fwrite(cw->xi_1221[ii],sizeof(flouble),cw->ncls_b*cw->bin->n_bands,fo);
gsl_matrix_fwrite(fo,cw->coupling_binned_a);
gsl_permutation_fwrite(fo,cw->coupling_binned_perm_a);
gsl_matrix_fwrite(fo,cw->coupling_binned_b);
gsl_permutation_fwrite(fo,cw->coupling_binned_perm_b);
fclose(fo);
}
nmt_covar_workspace_flat *nmt_covar_workspace_flat_read(char *fname)
{
int ii;
nmt_covar_workspace_flat *cw=my_malloc(sizeof(nmt_covar_workspace));
FILE *fi=my_fopen(fname,"rb");
my_fread(&(cw->ncls_a),sizeof(int),1,fi);
my_fread(&(cw->ncls_b),sizeof(int),1,fi);
cw->bin=my_malloc(sizeof(nmt_binning_scheme_flat));
my_fread(&(cw->bin->n_bands),sizeof(int),1,fi);
cw->bin->ell_0_list=my_malloc(cw->bin->n_bands*sizeof(flouble));
cw->bin->ell_f_list=my_malloc(cw->bin->n_bands*sizeof(flouble));
my_fread(cw->bin->ell_0_list,sizeof(flouble),cw->bin->n_bands,fi);
my_fread(cw->bin->ell_f_list,sizeof(flouble),cw->bin->n_bands,fi);
cw->xi_1122=my_malloc(cw->ncls_a*cw->bin->n_bands*sizeof(flouble *));
for(ii=0;ii<cw->ncls_a*cw->bin->n_bands;ii++) {
cw->xi_1122[ii]=my_malloc(cw->ncls_b*cw->bin->n_bands*sizeof(flouble));
my_fread(cw->xi_1122[ii],sizeof(flouble),cw->ncls_b*cw->bin->n_bands,fi);
}
cw->xi_1221=my_malloc(cw->ncls_a*cw->bin->n_bands*sizeof(flouble *));
for(ii=0;ii<cw->ncls_a*cw->bin->n_bands;ii++) {
cw->xi_1221[ii]=my_malloc(cw->ncls_b*cw->bin->n_bands*sizeof(flouble));
my_fread(cw->xi_1221[ii],sizeof(flouble),cw->ncls_b*cw->bin->n_bands,fi);
}
cw->coupling_binned_a=gsl_matrix_alloc(cw->ncls_a*cw->bin->n_bands,cw->ncls_a*cw->bin->n_bands);
cw->coupling_binned_perm_a=gsl_permutation_alloc(cw->ncls_a*cw->bin->n_bands);
gsl_matrix_fread(fi,cw->coupling_binned_a);
gsl_permutation_fread(fi,cw->coupling_binned_perm_a);
cw->coupling_binned_b=gsl_matrix_alloc(cw->ncls_b*cw->bin->n_bands,cw->ncls_b*cw->bin->n_bands);
cw->coupling_binned_perm_b=gsl_permutation_alloc(cw->ncls_b*cw->bin->n_bands);
gsl_matrix_fread(fi,cw->coupling_binned_b);
gsl_permutation_fread(fi,cw->coupling_binned_perm_b);
fclose(fi);
return cw;
}
|
omp_two.c | // note not doing O0 below as to ensure we get tbaa
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops -disable-llvm-optzns %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O2 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O3 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// note not doing O0 below as to ensure we get tbaa
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops -Xclang -disable-llvm-optzns %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O2 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O3 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
#include <stdio.h>
#include <math.h>
#include <assert.h>
#include "test_utils.h"
void __enzyme_autodiff(void*, ...);
void omp(float* a, float *b, int N, int M) {
#pragma omp parallel
{
#pragma omp for
for (int i=0; i<N; i++) {
a[i] *= a[i];
}
#pragma omp for
for (int i=0; i<M; i++) {
b[i] *= b[i];
}
}
return;
}
int main(int argc, char** argv) {
int N = 20;
float a[N];
for(int i=0; i<N; i++) {
a[i] = i+1;
}
float d_a[N];
for(int i=0; i<N; i++)
d_a[i] = 1.0f;
int M = 40;
float b[M];
for(int i=0; i<M; i++) {
b[i] = 0.1*i+1;
}
float d_b[M];
for(int i=0; i<M; i++)
d_b[i] = 1.0f;
//omp(a, b, N, M);
printf("ran omp\n");
__enzyme_autodiff((void*)omp, a, d_a, b, d_b, N, M);
for(int i=0; i<N; i++) {
printf("a[%d]=%f d_a[%d]=%f\n", i, a[i], i, d_a[i]);
}
for(int i=0; i<M; i++) {
printf("b[%d]=%f d_b[%d]=%f\n", i, b[i], i, d_b[i]);
}
for(int i=0; i<N; i++) {
APPROX_EQ(d_a[i], 2.0f*(i+1), 1e-10);
}
for(int i=0; i<M; i++) {
APPROX_EQ(d_b[i], 2.0f*(0.1*i+1), 1e-5);
}
return 0;
}
|
backward_euler_monolithic_ale_scheme.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ `
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Miguel Maso
//
#ifndef KRATOS_BACKWARD_EULER_MONOLITHIC_ALE_SCHEME
#define KRATOS_BACKWARD_EULER_MONOLITHIC_ALE_SCHEME
/* System includes */
/* External includes */
#include "boost/smart_ptr.hpp"
/* Project includes */
#include "includes/define.h"
#include "includes/model_part.h"
#include "includes/deprecated_variables.h"
#include "solving_strategies/schemes/scheme.h"
#include "includes/variables.h"
#include "includes/cfd_variables.h"
#include "containers/array_1d.h"
#include "utilities/openmp_utils.h"
#include "utilities/dof_updater.h"
#include "utilities/coordinate_transformation_utilities.h"
#include "processes/process.h"
#include "../../FluidDynamicsApplication/custom_strategies/strategies/residualbased_predictorcorrector_velocity_bossak_scheme_turbulent.h"
namespace Kratos {
//@name Kratos Globals
//@{
//@}
//@name Type Definitions
//@{
//@}
//@name Enum's
//@{
//@}
//@name Functions
//@{
//@}
//@name Kratos Classes
//@{
/**
* @class BackwardEulerMonolithicAleScheme
* @ingroup PFEM2Application
* @brief A first order scheme for testing purpose
*/
template<class TSparseSpace, class TDenseSpace >
class BackwardEulerMonolithicAleScheme : public ResidualBasedPredictorCorrectorVelocityBossakSchemeTurbulent<TSparseSpace, TDenseSpace> {
public:
//@name Type Definitions
//@{
KRATOS_CLASS_POINTER_DEFINITION(BackwardEulerMonolithicAleScheme);
typedef Scheme<TSparseSpace, TDenseSpace> BaseType;
typedef ResidualBasedPredictorCorrectorVelocityBossakSchemeTurbulent<TSparseSpace, TDenseSpace> BossakType;
typedef typename BaseType::TDataType TDataType;
typedef typename BaseType::DofsArrayType DofsArrayType;
typedef typename Element::DofsVectorType DofsVectorType;
typedef typename BaseType::TSystemMatrixType TSystemMatrixType;
typedef typename BaseType::TSystemVectorType TSystemVectorType;
typedef typename BaseType::LocalSystemVectorType LocalSystemVectorType;
typedef typename BaseType::LocalSystemMatrixType LocalSystemMatrixType;
typedef Element::GeometryType GeometryType;
//@}
//@name Life Cycle
//@{
BackwardEulerMonolithicAleScheme(unsigned int DomainSize, bool IsLagrangian = true)
: ResidualBasedPredictorCorrectorVelocityBossakSchemeTurbulent<TSparseSpace, TDenseSpace>(0.0, 0.0, DomainSize)
{
mIsLagrangian = IsLagrangian;
BossakType::mGammaNewmark = 1.0;
}
~BackwardEulerMonolithicAleScheme() override {}
//@}
//@name Operations
//@{
void Update(ModelPart& rModelPart,
DofsArrayType& rDofSet,
TSystemMatrixType& A,
TSystemVectorType& Dv,
TSystemVectorType& b) override
{
BossakType::Update(rModelPart, rDofSet, A, Dv, b);
this->Pfem2AdditionalUpdateOperations(rModelPart, rDofSet, A, Dv, b);
}
void Predict(ModelPart& rModelPart,
DofsArrayType& rDofSet,
TSystemMatrixType& A,
TSystemVectorType& Dv,
TSystemVectorType& b) override
{
BossakType::Predict(rModelPart, rDofSet, A, Dv, b);
this->Pfem2AdditionalUpdateOperations(rModelPart, rDofSet, A, Dv, b);
}
void Pfem2AdditionalUpdateOperations(ModelPart& rModelPart,
DofsArrayType& rDofSet,
TSystemMatrixType& A,
TSystemVectorType& Dv,
TSystemVectorType& b)
{
if (mIsLagrangian) {
#pragma omp parallel for
for (int i = 0; i < static_cast<int>(rModelPart.NumberOfNodes()); ++i)
{
auto it_node = rModelPart.NodesBegin() + i;
noalias(it_node->FastGetSolutionStepValue(MESH_VELOCITY)) = it_node->FastGetSolutionStepValue(VELOCITY);
}
}
}
//@}
protected:
///@name Protected member Variables
///@{
bool mIsLagrangian;
//@}
}; // Class BackwardEulerMonolithicAleScheme
//@}
//@name Type Definitions
//@{
//@}
} // namespace Kratos
#endif // KRATOS_BACKWARD_EULER_MONOLITHIC_ALE_SCHEME
|
batchnorm_kernel_arm.c | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Copyright (c) 2021, OPEN AI LAB
* Author: haitao@openailab.com
*/
#include "batchnorm_kernel_arm.h"
#include <arm_neon.h>
static void batchnorm_kernel(int i, int id, void* data, const float* input, float* output, float* scale_mean,
float* scale_var, int channel_size, int num_thread)
{
int step = ((int*)data)[0];
#pragma omp parallel for num_threads(num_thread)
for (int c = 0; c < step; c++)
{
int cur_c = id * step + c;
float s_mean = scale_mean[cur_c];
float s_var = scale_var[cur_c];
float32x4_t _mean = vdupq_n_f32(s_mean);
float32x4_t _var = vdupq_n_f32(s_var);
int offset = cur_c * channel_size;
const float* input_ptr = input + offset;
float* output_ptr = output + offset;
for (int l = 0; l < (channel_size & -4); l += 4)
{
float32x4_t _input = vld1q_f32(input_ptr);
vst1q_f32(output_ptr, vmlaq_f32(_mean, _input, _var));
input_ptr += 4;
output_ptr += 4;
}
for (int l = channel_size & ~3; l < channel_size; l++)
{
*output_ptr = (*input_ptr) * s_var + s_mean;
input_ptr++;
output_ptr++;
}
}
}
int batchnorm_run(struct tensor* output_tensor, struct tensor* input_tensor, float* scale_mean,
float* scale_var_inv, int num_thread)
{
int batch_number = input_tensor->dims[0];
int channel_num = input_tensor->dims[1];
int channel_size;
if (4 == input_tensor->dim_num)
{
channel_size = (input_tensor->dims[2]) * (input_tensor->dims[3]);
}
else if (3 == input_tensor->dim_num)
{
channel_size = (input_tensor->dims[2]);
}
else if (2 == input_tensor->dim_num)
{
channel_size = 1;
}
else
{
return -1;
}
int img_size = channel_num * channel_size;
const float* input = (const float*)input_tensor->data;
float* output = (float*)output_tensor->data;
float* scale_mean_t = (float*)scale_mean;
float* scale_var_inv_t = (float*)scale_var_inv;
/* only use mean and var */
for (int i = 0; i < batch_number; i++)
{
const float* cur_input = input + i * img_size;
float* cur_output = output + i * img_size;
batchnorm_kernel(0, 0, &channel_num, cur_input, cur_output, scale_mean_t, scale_var_inv_t, channel_size,
num_thread);
}
return 0;
}
|
GB_concat_hyper.c | //------------------------------------------------------------------------------
// GB_concat_hyper: concatenate an array of matrices into a hypersparse matrix
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
#define GB_FREE_ALL \
{ \
GB_FREE (&Wi, Wi_size) ; \
GB_FREE_WORK (&Wj, Wj_size) ; \
GB_FREE_WORK (&Wx, Wx_size) ; \
GB_phbix_free (C) ; \
}
#include "GB_concat.h"
GrB_Info GB_concat_hyper // concatenate into a hypersparse 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 iso
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 triplet workspace to construct C as hypersparse
//--------------------------------------------------------------------------
GrB_Info info ;
GrB_Matrix A = NULL ;
ASSERT_MATRIX_OK (C, "C input to concat hyper", GB0) ;
int64_t *restrict Wi = NULL ; size_t Wi_size = 0 ;
int64_t *restrict Wj = NULL ; size_t Wj_size = 0 ;
GB_void *restrict Wx = NULL ; size_t Wx_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) ;
Wi = GB_MALLOC (cnz, int64_t, &Wi_size) ; // becomes C->i
Wj = GB_MALLOC_WORK (cnz, int64_t, &Wj_size) ; // freed below
if (!C_iso)
{
Wx = GB_MALLOC_WORK (cnz * csize, GB_void, &Wx_size) ; // freed below
}
if (Wi == NULL || Wj == NULL || (!C_iso && Wx == NULL))
{
// out of memory
GB_FREE_ALL ;
return (GrB_OUT_OF_MEMORY) ;
}
GB_GET_NTHREADS_MAX (nthreads_max, chunk, Context) ;
int64_t nouter = csc ? n : m ;
int64_t ninner = csc ? m : n ;
//--------------------------------------------------------------------------
// concatenate all matrices into the list of triplets
//--------------------------------------------------------------------------
int64_t pC = 0 ;
for (int64_t outer = 0 ; outer < nouter ; outer++)
{
for (int64_t inner = 0 ; inner < ninner ; inner++)
{
//------------------------------------------------------------------
// get the tile A
//------------------------------------------------------------------
A = csc ? GB_TILE (Tiles, inner, outer)
: GB_TILE (Tiles, outer, inner) ;
ASSERT (!GB_ANY_PENDING_WORK (A)) ;
//------------------------------------------------------------------
// 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, cistart ;
if (csc)
{
// C is held by column
// Tiles is row-major and accessed in column order
cvstart = Tile_cols [outer] ;
cistart = Tile_rows [inner] ;
}
else
{
// C is held by row
// Tiles is row-major and accessed in row order
cvstart = Tile_rows [outer] ;
cistart = Tile_cols [inner] ;
}
//------------------------------------------------------------------
// extract the tuples from tile A
//------------------------------------------------------------------
// if A is iso but C is not, extractTuples expands A->x [0] into
// all Wx [...]. If both A and C are iso, then all tiles are iso,
// and Wx is not extracted.
int64_t anz = GB_nnz (A) ;
GB_OK (GB_extractTuples (
(GrB_Index *) ((csc ? Wi : Wj) + pC),
(GrB_Index *) ((csc ? Wj : Wi) + pC),
(C_iso) ? NULL : (Wx + pC * csize),
(GrB_Index *) (&anz), ccode, A, Context)) ;
//------------------------------------------------------------------
// adjust the indices to reflect their new place in C
//------------------------------------------------------------------
int nth = GB_nthreads (anz, chunk, nthreads_max) ;
if (cistart > 0 && cvstart > 0)
{
int64_t pA ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (pA = 0 ; pA < anz ; pA++)
{
Wi [pC + pA] += cistart ;
Wj [pC + pA] += cvstart ;
}
}
else if (cistart > 0)
{
int64_t pA ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (pA = 0 ; pA < anz ; pA++)
{
Wi [pC + pA] += cistart ;
}
}
else if (cvstart > 0)
{
int64_t pA ;
#pragma omp parallel for num_threads(nth) schedule(static)
for (pA = 0 ; pA < anz ; pA++)
{
Wj [pC + pA] += cvstart ;
}
}
//------------------------------------------------------------------
// advance the tuple counter
//------------------------------------------------------------------
pC += anz ;
}
}
//--------------------------------------------------------------------------
// build C from the triplets
//--------------------------------------------------------------------------
const GB_void *S_input = NULL ;
if (C_iso)
{
S_input = cscalar ;
}
GB_OK (GB_builder (
C, // create C using a static or dynamic header
ctype, // C->type
cvlen, // C->vlen
cvdim, // C->vdim
csc, // C->is_csc
(int64_t **) &Wi, // Wi is C->i on output, or freed on error
&Wi_size,
(int64_t **) &Wj, // Wj, free on output
&Wj_size,
(GB_void **) &Wx, // Wx, free on output; or NULL if C is iso
&Wx_size,
false, // tuples need to be sorted
true, // no duplicates
cnz, // size of Wi and Wj in # of tuples
true, // is_matrix: unused
NULL, NULL, // original I,J tuples
S_input, // cscalar if C is iso, or NULL
C_iso, // true if C is iso
cnz, // # of tuples
NULL, // no duplicates, so dup is NUL
ctype, // the type of Wx (no typecasting)
Context
)) ;
C->hyper_switch = hyper_switch ;
C->bitmap_switch = bitmap_switch ;
C->sparsity_control = sparsity_control ;
ASSERT (GB_IS_HYPERSPARSE (C)) ;
ASSERT_MATRIX_OK (C, "C from concat hyper", GB0) ;
// workspace has been freed by GB_builder, or transplanted into C
ASSERT (Wi == NULL) ;
ASSERT (Wj == NULL) ;
ASSERT (Wx == NULL) ;
return (GrB_SUCCESS) ;
}
|
illife.c | #define _POSIX_C_SOURCE 200809L
#include <stdlib.h>
#include <stddef.h>
#include "illife.h"
void* allocate(size_t size, size_t align) {
void* p = NULL;
if (posix_memalign(&p, align, size)) {
return NULL;
}
return p;
}
void deallocate(void* ptr) {
free(ptr);
}
#define ROUND_UP(a, align) (((a) + ((align)-1)) & -(align))
static size_t ptr_size(size_t n_dim, struct illife_dim_property *dims) {
if (n_dim <= 1) return 0;
size_t s = ptr_size(n_dim - 1, dims + 1);
size_t ps = ROUND_UP(dims->size * sizeof(void*), dims->ptr_align);
return dims->size * s + ps;
}
static size_t data_size(size_t n_dim, struct illife_dim_property *dims, size_t type_size) {
if (n_dim == 0) return type_size;
size_t s = data_size(n_dim - 1, dims + 1, type_size);
return ROUND_UP(s * dims->size, dims->align);
}
static size_t whole_size(size_t n_dim, struct illife_dim_property *dims, size_t type_size) {
size_t ps = ptr_size(n_dim, dims);
size_t ds = data_size(n_dim, dims, type_size);
size_t ws = ROUND_UP(ps, dims->align) + ds;
return ws;
}
static int _init_illife(char** ptrs, char* data, size_t n_dim, struct illife_dim_property *dims, size_t type_size) {
size_t n = dims->size;
if (n_dim <= 1) return 1;
size_t ds = data_size(n_dim-1, dims+1, type_size);
size_t ps = ptr_size(n_dim-1, dims+1);
char* ptr2 = (char*) ptrs;
ptr2 += ptr_size(2, dims);
if (n_dim == 2) {
for (size_t i = 0; i < n; i++) {
ptrs[i] = data + i * ds;
}
return 1;
}
for (size_t i = 0; i < n; i++) {
ptrs[i] = ptr2 + i * ps;
_init_illife((char**) ptrs[i], data + i * ds, n_dim - 1, dims + 1, type_size);
}
return 1;
}
void* alloc_illife(size_t n_dim, struct illife_dim_property *dims, size_t type_size) {
size_t align = ROUND_UP(dims->ptr_align, dims->align);
size_t s = whole_size(n_dim, dims, type_size);
return allocate(s, align);
}
int init_illife(void* ptr, size_t n_dim, struct illife_dim_property *dims, size_t type_size) {
init_illife_omp(ptr, n_dim, dims, type_size);
return 1;
}
int init_illife_omp(void* ptr, size_t n_dim, struct illife_dim_property *dims, size_t type_size) {
if (n_dim <= 1) return 1;
char **ptrs = (char**) ptr;
char *data = (char*) ptr;
{
size_t ps = ptr_size(n_dim, dims);
size_t ds = data_size(n_dim, dims, type_size);
size_t ws = whole_size(n_dim, dims, type_size);
data += ws - ds;
}
size_t n = dims->size;
size_t ds = data_size(n_dim-1, dims+1, type_size);
size_t ps = ptr_size(n_dim-1, dims+1);
char* ptr2 = (char*) ptrs;
ptr2 += ptr_size(2, dims);
if (n_dim == 2) {
#pragma omp parallel for
for (size_t i = 0; i < n; i++) {
ptrs[i] = data + i * ds;
}
return 1;
}
#pragma omp parallel for
for (size_t i = 0; i < n; i++) {
ptrs[i] = ptr2 + i * ps;
_init_illife((char**) ptrs[i], data + i * ds, n_dim - 1, dims + 1, type_size);
}
return 1;
}
int free_illife(void* ptr) {
deallocate(ptr);
return 1;
}
|
GB_unop__ceil_fc64_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__ceil_fc64_fc64)
// op(A') function: GB (_unop_tran__ceil_fc64_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = aij
// unaryop: cij = GB_cceil (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_cceil (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_cceil (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_CEIL || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__ceil_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_cceil (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_cceil (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__ceil_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
|
3d25pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 8;
tile_size[3] = 1024;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 1) && (Nx >= 9) && (Ny >= 9) && (Nz >= 9)) {
for (t1=-1;t1<=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(max(0,ceild(16*t2-Nz+5,8)),t1),2*t1-2*t2+1);t3<=min(min(min(floord(4*Nt+Ny-9,8),floord(8*t1+Ny+7,8)),floord(16*t2+Ny+3,8)),floord(16*t1-16*t2+Nz+Ny+5,8));t3++) {
for (t4=max(max(max(0,ceild(t1-127,128)),ceild(16*t2-Nz-1011,1024)),ceild(8*t3-Ny-1011,1024));t4<=min(min(min(min(floord(4*Nt+Nx-9,1024),floord(8*t1+Nx+7,1024)),floord(16*t2+Nx+3,1024)),floord(8*t3+Nx-5,1024)),floord(16*t1-16*t2+Nz+Nx+5,1024));t4++) {
for (t5=max(max(max(max(max(0,ceild(16*t2-Nz+5,4)),ceild(8*t3-Ny+5,4)),ceild(1024*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),2*t3),Nt-1),2*t1+3),4*t2+2),256*t4+254);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(8*t3,4*t5+4);t7<=min(8*t3+7,4*t5+Ny-5);t7++) {
lbv=max(1024*t4,4*t5+4);
ubv=min(1024*t4+1023,4*t5+Nx-5);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] = (((((((((((((coef[0][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) + (coef[1][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 1][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 1][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 1][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 1][ (-4*t5+t8)]))) + (coef[3][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 1] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 1]))) + (coef[4][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 2][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 2][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[5][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 2][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 2][ (-4*t5+t8)]))) + (coef[6][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 2] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 2]))) + (coef[7][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 3][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 3][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[8][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 3][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 3][ (-4*t5+t8)]))) + (coef[9][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 3] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 3]))) + (coef[10][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 4][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 4][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[11][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 4][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 4][ (-4*t5+t8)]))) + (coef[12][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 4] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 4])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
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